MCTO-the-dig/-done-testing-download-data-from-spotify.ipynb

## -done-testing-download-data-from-spotify.ipynb
{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/MCTO-the-dig/8b1e058001c30c71036bc5e585255107/-done-testing-download-data-from-spotify.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Download Data from Spotify"
      ],
      "metadata": {
        "id": "RjgONG0WvWzW"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Install Packages (For First Time)"
      ],
      "metadata": {
        "id": "gAHQILGNvRiX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!apt-get update\n",
        "!apt-get install -y chromium-chromedriver\n",
        "!pip install selenium webdriver-manager\n",
        "!pip install undetected-chromedriver\n",
        "!pip install pyvirtualdisplay\n"
      ],
      "metadata": {
        "id": "s0YANE6ivUCa",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5af14091-1450-4d9b-94b5-fe33486da279",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Hit:1 https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/ InRelease\n",
            "Hit:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64  InRelease\n",
            "Hit:3 https://r2u.stat.illinois.edu/ubuntu jammy InRelease\n",
            "Hit:4 http://security.ubuntu.com/ubuntu jammy-security InRelease\n",
            "Hit:5 http://archive.ubuntu.com/ubuntu jammy InRelease\n",
            "Hit:6 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy InRelease\n",
            "Hit:7 http://archive.ubuntu.com/ubuntu jammy-updates InRelease\n",
            "Hit:8 https://ppa.launchpadcontent.net/graphics-drivers/ppa/ubuntu jammy InRelease\n",
            "Hit:9 http://archive.ubuntu.com/ubuntu jammy-backports InRelease\n",
            "Hit:10 https://ppa.launchpadcontent.net/ubuntugis/ppa/ubuntu jammy InRelease\n",
            "Reading package lists... Done\n",
            "W: Skipping acquire of configured file 'main/source/Sources' as repository 'https://r2u.stat.illinois.edu/ubuntu jammy InRelease' does not seem to provide it (sources.list entry misspelt?)\n",
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "chromium-chromedriver is already the newest version (1:85.0.4183.83-0ubuntu2.22.04.1).\n",
            "0 upgraded, 0 newly installed, 0 to remove and 34 not upgraded.\n",
            "Requirement already satisfied: selenium in /usr/local/lib/python3.11/dist-packages (4.34.0)\n",
            "Requirement already satisfied: webdriver-manager in /usr/local/lib/python3.11/dist-packages (4.0.2)\n",
            "Requirement already satisfied: urllib3~=2.4.0 in /usr/local/lib/python3.11/dist-packages (from urllib3[socks]~=2.4.0->selenium) (2.4.0)\n",
            "Requirement already satisfied: trio~=0.30.0 in /usr/local/lib/python3.11/dist-packages (from selenium) (0.30.0)\n",
            "Requirement already satisfied: trio-websocket~=0.12.2 in /usr/local/lib/python3.11/dist-packages (from selenium) (0.12.2)\n",
            "Requirement already satisfied: certifi>=2025.4.26 in /usr/local/lib/python3.11/dist-packages (from selenium) (2025.6.15)\n",
            "Requirement already satisfied: typing_extensions~=4.14.0 in /usr/local/lib/python3.11/dist-packages (from selenium) (4.14.0)\n",
            "Requirement already satisfied: websocket-client~=1.8.0 in /usr/local/lib/python3.11/dist-packages (from selenium) (1.8.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from webdriver-manager) (2.32.3)\n",
            "Requirement already satisfied: python-dotenv in /usr/local/lib/python3.11/dist-packages (from webdriver-manager) (1.1.1)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (from webdriver-manager) (24.2)\n",
            "Requirement already satisfied: attrs>=23.2.0 in /usr/local/lib/python3.11/dist-packages (from trio~=0.30.0->selenium) (25.3.0)\n",
            "Requirement already satisfied: sortedcontainers in /usr/local/lib/python3.11/dist-packages (from trio~=0.30.0->selenium) (2.4.0)\n",
            "Requirement already satisfied: idna in /usr/local/lib/python3.11/dist-packages (from trio~=0.30.0->selenium) (3.10)\n",
            "Requirement already satisfied: outcome in /usr/local/lib/python3.11/dist-packages (from trio~=0.30.0->selenium) (1.3.0.post0)\n",
            "Requirement already satisfied: sniffio>=1.3.0 in /usr/local/lib/python3.11/dist-packages (from trio~=0.30.0->selenium) (1.3.1)\n",
            "Requirement already satisfied: wsproto>=0.14 in /usr/local/lib/python3.11/dist-packages (from trio-websocket~=0.12.2->selenium) (1.2.0)\n",
            "Requirement already satisfied: pysocks!=1.5.7,<2.0,>=1.5.6 in /usr/local/lib/python3.11/dist-packages (from urllib3[socks]~=2.4.0->selenium) (1.7.1)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->webdriver-manager) (3.4.2)\n",
            "Requirement already satisfied: h11<1,>=0.9.0 in /usr/local/lib/python3.11/dist-packages (from wsproto>=0.14->trio-websocket~=0.12.2->selenium) (0.16.0)\n",
            "Requirement already satisfied: undetected-chromedriver in /usr/local/lib/python3.11/dist-packages (3.5.5)\n",
            "Requirement already satisfied: selenium>=4.9.0 in /usr/local/lib/python3.11/dist-packages (from undetected-chromedriver) (4.34.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from undetected-chromedriver) (2.32.3)\n",
            "Requirement already satisfied: websockets in /usr/local/lib/python3.11/dist-packages (from undetected-chromedriver) (15.0.1)\n",
            "Requirement already satisfied: urllib3~=2.4.0 in /usr/local/lib/python3.11/dist-packages (from urllib3[socks]~=2.4.0->selenium>=4.9.0->undetected-chromedriver) (2.4.0)\n",
            "Requirement already satisfied: trio~=0.30.0 in /usr/local/lib/python3.11/dist-packages (from selenium>=4.9.0->undetected-chromedriver) (0.30.0)\n",
            "Requirement already satisfied: trio-websocket~=0.12.2 in /usr/local/lib/python3.11/dist-packages (from selenium>=4.9.0->undetected-chromedriver) (0.12.2)\n",
            "Requirement already satisfied: certifi>=2025.4.26 in /usr/local/lib/python3.11/dist-packages (from selenium>=4.9.0->undetected-chromedriver) (2025.6.15)\n",
            "Requirement already satisfied: typing_extensions~=4.14.0 in /usr/local/lib/python3.11/dist-packages (from selenium>=4.9.0->undetected-chromedriver) (4.14.0)\n",
            "Requirement already satisfied: websocket-client~=1.8.0 in /usr/local/lib/python3.11/dist-packages (from selenium>=4.9.0->undetected-chromedriver) (1.8.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->undetected-chromedriver) (3.4.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->undetected-chromedriver) (3.10)\n",
            "Requirement already satisfied: attrs>=23.2.0 in /usr/local/lib/python3.11/dist-packages (from trio~=0.30.0->selenium>=4.9.0->undetected-chromedriver) (25.3.0)\n",
            "Requirement already satisfied: sortedcontainers in /usr/local/lib/python3.11/dist-packages (from trio~=0.30.0->selenium>=4.9.0->undetected-chromedriver) (2.4.0)\n",
            "Requirement already satisfied: outcome in /usr/local/lib/python3.11/dist-packages (from trio~=0.30.0->selenium>=4.9.0->undetected-chromedriver) (1.3.0.post0)\n",
            "Requirement already satisfied: sniffio>=1.3.0 in /usr/local/lib/python3.11/dist-packages (from trio~=0.30.0->selenium>=4.9.0->undetected-chromedriver) (1.3.1)\n",
            "Requirement already satisfied: wsproto>=0.14 in /usr/local/lib/python3.11/dist-packages (from trio-websocket~=0.12.2->selenium>=4.9.0->undetected-chromedriver) (1.2.0)\n",
            "Requirement already satisfied: pysocks!=1.5.7,<2.0,>=1.5.6 in /usr/local/lib/python3.11/dist-packages (from urllib3[socks]~=2.4.0->selenium>=4.9.0->undetected-chromedriver) (1.7.1)\n",
            "Requirement already satisfied: h11<1,>=0.9.0 in /usr/local/lib/python3.11/dist-packages (from wsproto>=0.14->trio-websocket~=0.12.2->selenium>=4.9.0->undetected-chromedriver) (0.16.0)\n",
            "Requirement already satisfied: pyvirtualdisplay in /usr/local/lib/python3.11/dist-packages (3.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "- xvfb is a virtual screen\n",
        "- pyvirtualdisplay is used to take screenshots"
      ],
      "metadata": {
        "id": "ae0yy9xHzFyj"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Import Packages"
      ],
      "metadata": {
        "id": "Q_4a6Lvbvbr4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from pyvirtualdisplay import Display\n",
        "from selenium import webdriver\n",
        "from selenium.webdriver.common.by import By\n",
        "from selenium.webdriver.common.keys import Keys\n",
        "from selenium.webdriver.support.ui import WebDriverWait\n",
        "from selenium.webdriver.support import expected_conditions as EC\n",
        "import time\n",
        "import os\n",
        "import undetected_chromedriver as uc\n",
        "import pandas as pd\n",
        "import re"
      ],
      "metadata": {
        "id": "NdhPCgD8vdeU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Login to Spotify"
      ],
      "metadata": {
        "id": "bPGa518zvhFN"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Step 1: Configure Selenium WebDriver"
      ],
      "metadata": {
        "id": "Wf5FreuHw8XI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Configure Chrome options for Google Colab\n",
        "chrome_options = webdriver.ChromeOptions()\n",
        "chrome_options.add_argument(\"--headless\")  # Run in headless mode\n",
        "chrome_options.add_argument(\"--no-sandbox\")\n",
        "chrome_options.add_argument(\"--disable-dev-shm-usage\")\n",
        "chrome_options.add_argument(\"--window-size=1920,1080\")\n",
        "\n",
        "#FOR COLAB ONLY\n",
        "# Set the download directory to /content/\n",
        "prefs = {'download.default_directory': '/content',\n",
        "         \"download.prompt_for_download\": False,\n",
        "         \"download.directory_upgrade\": True,\n",
        "         \"safebrowsing.enabled\": True}\n",
        "\n",
        "chrome_options.add_experimental_option('prefs', prefs)\n",
        "\n",
        "# Start WebDriver\n",
        "driver = webdriver.Chrome(options=chrome_options)\n",
        "\n",
        "# Enable downloads in headless mode\n",
        "driver.execute_cdp_cmd(\"Page.setDownloadBehavior\", {\n",
        "    \"behavior\": \"allow\",\n",
        "    \"downloadPath\": '/content'\n",
        "})"
      ],
      "metadata": {
        "id": "NKazWaEEvlmA",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "490e22ad-db88-4032-d269-9b65e8d98b07"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{}"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Step 2: Automate Spotify Login & Google Authentication\n",
        "\n",
        "Now, we will:\n",
        "\n",
        "- Load Password (Ensure the file is uploaded)\n",
        "- Open the Spotify login page.\n",
        "- Click the \"Continue with Spotify\" button.\n",
        "- Wait for the Google login page and enter the email (manual input for the password if needed)."
      ],
      "metadata": {
        "id": "BQ87RZ2jxFMw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from dotenv import load_dotenv\n",
        "\n",
        "# Load credentials from the uploaded .env file\n",
        "load_dotenv(\"/content/sl_spotify_credentials.env\")  #REPLACE WITH YOUR SPOTIFY CREDENTIAL ENV FILE NAME\n",
        "\n",
        "# Retrieve Spotify username & password\n",
        "SPOTIFY_USERNAME = os.getenv(\"SPOTIFY_USERNAME\")\n",
        "SPOTIFY_PASSWORD = os.getenv(\"SPOTIFY_PASSWORD\")\n",
        "\n",
        "# Verify if credentials are loaded\n",
        "if SPOTIFY_USERNAME and SPOTIFY_PASSWORD:\n",
        "    print(\"✅ Credentials loaded successfully\")\n",
        "else:\n",
        "    print(\"❌ Failed to load credentials. Check the .env file format.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wVwH1TQz3IoE",
        "outputId": "4065a60f-e8c7-4958-b134-7fd7bb336b53"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "✅ Credentials loaded successfully\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Open Spotify Creator Login Page\n",
        "driver.get(\"https://creators.spotify.com/pod/login\")\n",
        "time.sleep(3)  # Wait for page to load\n",
        "\n",
        "# Click \"Continue with Spotify\" using XPath\n",
        "try:\n",
        "    continue_button = driver.find_element(By.XPATH, '//*[@id=\"main\"]/div//div/a')  # Your provided XPath\n",
        "    continue_button.click()\n",
        "    print(\"✅ Clicked 'Continue with Spotify'\")\n",
        "except Exception as e:\n",
        "    print(\"❌ Failed to find 'Continue with Spotify' button:\", e)\n",
        "\n",
        "time.sleep(3)  # Wait for redirect to Google login\n",
        "\n",
        "\n",
        "# Take a screenshot to verify navigation\n",
        "driver.execute_script(\"document.body.style.zoom='50%'\")\n",
        "time.sleep(3)  # Wait for resize screen\n",
        "driver.save_screenshot(\"1.1_spotify_login.png\")\n",
        "\n",
        "# Display screenshot in Colab\n",
        "from IPython.display import display\n",
        "from PIL import Image\n",
        "\n",
        "display(Image.open(\"1.1_spotify_login.png\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 627
        },
        "id": "bfmWvQG2xGm5",
        "outputId": "3a10129c-b9c8-438a-b59a-01de3d9de11c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "✅ Clicked 'Continue with Spotify'\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=1920x888>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Enter Spotify Username\n",
        "username_field = driver.find_element(By.CSS_SELECTOR, \"#login-username\")\n",
        "username_field.clear()  # Clears any pre-filled text\n",
        "username_field.send_keys(SPOTIFY_USERNAME)\n",
        "time.sleep(3)  # Wait\n",
        "\n",
        "driver.save_screenshot(\"1.2_spotify_login.png\")\n",
        "display(Image.open(\"1.2_spotify_login.png\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 925
        },
        "id": "fTCC_ufEdpYX",
        "outputId": "1a9c7228-86a2-4aaf-f2a4-0c7ccc0c75df"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=1920x888>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAN4CAYAAAAiLPWhAAD/q0lEQVR4AezdB5wkZZk4/ndmE8uSd5eMIIigJEmKiigcYpZgRsWM6e7EiPE8xIie8dQzgSKeP0FMeICCgEhQgoIgGEABERaWJcnuEnf/+1T/35me3t4JPT3bXVXf+nx2a6pDhe/7PE9Vzztv9cCjH/3o5clEgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAqUXGCz9ETgAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECgEhjqAly8ffSCw5/mMljPio5zxod3K2W45F7Wf9sux0G6+qvhY1eN5HZ4XVzkW2s3FRznjQ7uVs91yDmo/7Zdjod18VfGxqsfzOjwvrnIstJuLj3LGh3YrZ7vlHNR+2i/HQrv5quJjVY/ndXheXOVYaDcXH+WMD+1WznbLObi622/ALaAzvTkBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTKLTCYe5zNG385wIFDpLQ4EAfiQB6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6kAZ60AxAjiCd2BgIPa/mCzzEA/Vzwd5Ls/lefXzvPW8Lu/lvbyX9+qAOqAOVL8OyHN5Ls+rn+eu8+W5PK9fnst7eS/v5b3rfHVgonWgGAEcb4rgiSkHkWUe4qHa+SDv1T11vn51Xt7Le3kv79UBdUAdqH4dkOfyXJ5XP89bf18j7+W9vJf36oA6oA5Uvw7Ic3k+0TwfGgEcF48xNQeRZR7iYbioVDEf4phi0s7Vbmftq33zxUEj4xv/iwtx0RwX4qHa8ZBzXztXu521r/Ztruvy3vVOCKgL9aoL8l7ey/v61T15L+/lvbxXB9SB0erA0Ajg5hfFhwTLw8WDh3ioaj5U9bjil1/yVt6K7/bnMS7tXdQNdbPK5w15L+8jvtW5etU5eS/v5X396p68l/fyXt6rA+qAOlD9OiDP5flE8nzgUY96VGNsfESOiQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRKKzBY2j234wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwQkAH8AgOCwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECivQPEdwM27H98N1TxZ5iEehgWqlg/5yKp2XI5H3cqxHXPxMDIesg2XkS48eOTcqGLdyMcmzsV5joUqxrn4Hhnfua25jHThwSPnRhXrYD42cS7OcyxUMc7F98j4zm3NZaQLDx45N6pYB/OxiXNxnmNhtDj3HcDNSn4mQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAiQWGRgDnvxgwb/zlAAcOkdfiQByIA3mgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqANlqgODAwMDRSeXOYcoXuJAHIgDeaAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+pAeevAdI1X3sZTfBVf+St/1QF1QB1QB9QBdWCq6sC9996bFi9enB588MH4A1cTAQIECPShwPTp09OcOXPSGmus4Y/7/VG7P+o3yEUdUAfUAXVAHVAH1AF1YKgODGy//fbFmO38y8P8ecZy45eJPBoC4qGa8aBdq9mu6pa6FQKryu9VPS5uxM1ocSM+yh0fneT90qVL0913352b3pwAAQIE+lxgnXXWKTqBYzc7qfvxx0R58v5yfk7UbuVsN3nXEBC/ncUvt87c5J28C4Gy5k9Z91ve9SbvBpuDPYLH8nDy8xAPVc+HPGKo6sfp+NS1fHGkrjc+HHFwflMX61UXOznfRwewiQABAgTKI5Drtuve+l7vdnK+97nA54KocupGeeuGvG/cEUwcy+M61TF5L+8ncv02NAK4PB9r7CkBAgQIECBAgAABAlMpcOutt07l6q2bAAECBKZAYMMNN5yCtVolAQIECBAgQIAAAQJlFChGAOcdzz3Hebl17vnGXwa2uuRlPnxyLLSb92t89Ot+ZUP7J69yLLSbi4/O4oNbZ245Bvnxy7HQbt6v8THZ/Wp3rB4jQIAAgf4VmGzd9/5yXu9ot3K2W64k2k/75VhoN19VfKzq8bwOz4urHAvt5uKjnPGh3crZbjkHV2f7GQGc1c0JECBAgAABAgQIECgEjAAWCAQIECifgBHA5Wsze0yAAAECBAgQIEBgqgQG457hMZlzEAfyQB1QB9QBdUAdUAfUAXUg14GIBRMBAgQIlEcg129z13MRteJAHIgDeaAOqAPqgDqgDtS7DhgBHFXQRIAAAQIECBAgQIDAkIARwEMUfiBAgEBpBIwALk1T2VECBAgQIECAAAECUy5gBLAR0EWQ+UuQev8liPbX/lEIxIE4EAfyQB1QB5rrQPxsIkCAAIHyCDiPO49HtIoDcSAO5IE6oA6oA+qAOqAORB0YjC8cjmAw5yAO5IE6oA6oA+qAOqAOqAPqQNQBEwECBAiUT8B1nOs413Gu49QBdUAdUAfUAXVAHVAHch0oRgDnBXPFQXFQHNQBdUAdUAfUAXVAHVAHytftYY8JECBAwPnb+dt1vOt4dUAdUAfUAXVAHVAH1IFcBwa22267xlhon5UIECBAgAABAgQIECCwQmDhwoUcCBAgQKBkAvPnzy/ZHttdAgQIECBAgAABAgSmSmCwecXxlwHNk2Ue4mFYoGr5kI+sasfleNStHNsxFw8j4yHbcBnpwoNHzo0q1o18bBON8/w+cwIECBAop8BE677Xl/t6KEepdix3O2o/7ZdzOeZjxUN+7Viv87y4yrEynrgSL/0dL7kttVN/t1M/tY8RwDlrzAkQIECAAAECBAgQKASMABYIBAgQKJ+AEcDlazN7TIAAAQIECBAgQGCqBEaMAJ6qjVgvAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECEy9gA7gqTe2BQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECKwWgcHly5cXG2qd5623Pp6XPd8QyB6tcz58QqA1LvJyv8ZHv+5Xv7vZv8Z5RPw0BHI8tM771adf9yv72b9yxpX26++6ON68yq8zJ1BmgR133DH9x3/8R/rZz36WrrvuurRo0aJ0wQUXpC9/+cvpqU99apkPzb4TWEkgn39b5/mFrY/nZc83BLJH67ysPmXd7+xv/6sZl9p3aj8nyBt5EwI5z1rn4qOa8aFdq9muOX8n277FdwDHypq/mNgyD/Ew/EXiVc2Hqh5Xc1EUx9WPY+09fJEznniX987v44kTeTWxvOp3r07z3ncA55Y1L6vAwx72sPSJT3wiHXDAAaMeQnQM/+u//mu6/fbbR32dJwmUQSC+A7jTup+Pz/vLeb2o3crZbvKuISB+O4tfbp25yTt5FwJlzZ+y7re8613eFSOA45eBETwx5SCyzEM8VDsf5L26p87Xr87Le3kv7+X9ROpA8eHAfwRKKPCkJz0pnXvuuWN2/sahPe1pT0u//OUv00477VTCI7XLBEYK+H1OozOgjtc7Ezm/i5P6xklUDO1fnfaX9z7f1/F8V/c6Ju/l/UTzfjAHjXkjeDhwaL4YFg/iQTwMfziSD/JBPsgHdaA+dWBkl4IlAuUR2H777dN3vvOdtPbaa497pzfddNN08sknpy222GLc7/FCAv0o4Dxdn/O063LX5fJdvqsD6oA6oA6oA+rAWHVgxAjgsV7seUVFUVFU1AF1QB1QB9QBdUAdqH4d6MeODftEYDwC//M//5PmzJkznpeOeM3cuXPTpz/96RGPWSBQNgHn5+qfn12Huw6X5/JcHVAH1AF1QB1QB8ZbBwYe+chHNu6FV7ZPNvaXAAECBAgQIECAAIEpEbjtttumZL1WSmAqBeL7fr/73e+me+65Jx1++OHpxhtvTHfccUfxL7YbI30322yztNdee6W4TfQTnvCElXYn1nHppZeu9LgHCJRBYN68eWXYTftIgAABAgQIECBAgMBqEBiMbcRfDDRPlnmIh2GBquZDVY8rt5zjU8dyLMRcPDTigYO8kBfDAnXJh8ke57CYnwj0v8BBBx1U7OSyZcvS7373u3TDDTekGTNmpEc96lFpxR8+p7vvvrv4buBjjjkmPec5zylu+fyGN7whnX322UMH98IXvnDoZz8QKKPAZOu+95fzelG7lbPdco3Rftovx0LMxxsP431dXrfXi7McCxOJs/we8dMf8aMd+qMdypQXRgDn1jInQIAAAQIECBAgQKAQMAJYIJRR4KKLLkrbbLPNqLu+ZMmSdNVVV6XLL788nX766emss84qXv+CF7wgxe2jr7jiivSUpzxl1HV4kkC/ChgB3K8tY78IECBAgAABAgQIrH6B4juAmzcb945unizzEA/DAlXLh3xkVTsux6Nu5diOuXgYGQ/ZhstIFx48cm5UsW7kY5tonOf3mRMoi8DGG288tKsXX3xxevvb316M9N1uu+3S5ptvXtz2+Y1vfGMxCjhGBJ900knp97//fXrLW96S9thjj+K9W2+99dA6/ECgbAITrfNeX63rnxyv2rVa7ao9tWfO7Zi3xkN+rvVxy+Imx0a7uBEf5Y6P3LbasdztuLrazwjgnDHmBAgQIECAAAECBAgUAkYAC4QyClx33XVp7bXXLnb9q1/9ajHCNzqFY1Rk3Bb62muvTVdffXX6+9//Xrxmp512Su973/vSU5/61KHDje8P3nLLLYeW/UCgTAJGAJeptewrAQIECBAgQIAAgakVGBoBnHuczRt/OcCBQ6SeOBAH4kAeqAPqgDqgDtS1DkTsmwiUSeCmm24a2t3DDz88/eAHP0hf+tKX0oc+9KH04Q9/OH33u99Nl112Wfrzn/9c3O55s802Sy9+8YvTz3/+86H3/fWvfx362Q8EyiZQ1/OV43a9HrkqDsSBOJAH6oA6oA6oA+rAyDowYgRw4DR/kbRlHuJh+IvFq5YPcUKMqWrH5XjULXVr1XWrkfXyXp1QJ+pUJzrNeyOAs5x5mQQ+97nPpZe97GXFLt99993pRS96UYrvBW6eHv3oR6e99torHXrooWnXXXdNCxcuTPPnzx96yVe+8pX03ve+d2jZDwTKJNA8Atj1Tr2ud3Kcavd6tbv2rnd7y/uGgDyodx7Urf3lvbwPgYnE/YgRwPHLsHhz80os8xAPw0lVpXzQrtVsV3XceWy0OiXv5X3EhzpRrzrRad7H+0wEyiZw2mmnDe3yOuuskz74wQ8WHcDXX399WrRoUfHvU5/6VFp//fXTIYcckl7wghekmTNnDr0nfvjhD384YtkCgTIJjHYd6Pxf7fN/xKnrPNe58rzaed7avvJe3VP361f35b28n2jeD2y77bZFD2fzSSQCyfLwRQMP8VDVfKjqcUXOxuT41LH8SzDxMJwP8kJeyIvGH/fVqS50kvdGAEeEmMoo8Mtf/jLtuOOOY+76HXfckb7zne+kl770pUWHcLzhxBNPTG984xvHfK8XEOhXgblz5xa71kndd31Q/usD7e46Xx6XP4/z+WW8+Tze1010vV7fEOCrrvZjXRWX4nIicTkY5SwHTcwt8xAPjSJSh3yIYlGH41TX1DV1bbiuyXt1T92v3/VuJ3lffCjwH4ESCrz5zW9OS5cuHXPPYxTwv/7rvw51/sb3B7/zne8c831eQKDfBVz3Dl/3RlvVyaOT873rwvpdF9YtL6p+vPLe53t1vH51XN7L+4nk/dAI4DghmggQIECAAAECBAgQIBC3yzURKKvAE5/4xHTCCSekuA30eKaI97gd9OWXXz6el3sNgb4VyCOA+3YH7RgBAgQIECBAgAABAqtNoBgBnLeWe44tNwR4NP6CRjxUMx60azXbVd1St3Jux7w1HvJzrY9bFjc5NtrFjfgod3zktp1oO+b3mRMoo8D555+fnvSkJ6ULL7xwzN3/yU9+kvbZZx+dv2NKeUHZBCZa972+nud77V7udtd+9W6/fF4SB/WOA+1fr/aX9w0BcT/+uDcCOGeNOQECBAgQIECAAAEChYARwAKhKgLPec5z0kEHHZR22GGHtO2226Z//vOf6aqrrkrnnXdeOvnkk9Of/vSnqhyq4yCQjAAWBAQIECBAgAABAgQIZIGhDuDme4fnJ5vnnh++t3izS/6ZD5/WvzzJsRHzfo2Pft2vbGf/5FUZ86rf41deySt5NfIvJXPOxryq+dHJcekAbo4MPxMgQKAcArkDuJO633yE3l/O60XtVs52y7mn/bRfJ5/TxI246SRu1J2GQFnzp6z7Le56E3dDHcC5AcwJECBAgAABAgQIEKi3gA7gere/oydAoJwCuQO4nHtvrwkQIECAAAECBAgQ6KbAYPzFQEzmHMSBPFAH1AF1QB1QB9QBdUAdyHUgYsFEgAABAuURyPXb3PVcRK04EAfiQB6oA+qAOqAOqAP1rgPFCOAIgubbBVjmIR6Gbw9Z1Xyo6nHFhU1Mjk8dU8dWrmPyQl7Ii5XzonHWqO55o9O8NwI4R4Y5AQIEyiMQI4A7rfv5KL2/nNeL2q2c7SbvGgLit7P45daZm7yTdyFQ1vwp637Lu97lXTECOH4ZGMETUw4iyzzEQ7XzQd6re+p8/eq8vJf38l7eT6QOFB8O/EeAAAECpRHw+5xGZ0Adr3cmcn4XJ/WNkyhm2r867S/vfb6v4/mu7nVM3sv7ieb90Ajg/ImmOYjiMcvDQcVDPFQtH+R9Q6Bq7ep41O18MdDuvCXv5X27uFA3ql03Osn722+/Pb/NnAABAgRKIpBHAOfddX6v9vm9tX21e0Og1cVyvfKgbu0t7+V9CNQt7ut+vPJe3k8k74dGADe/KZLI8nDx5CEeqpoPVT2u/Betjk8dyxeF6vhwHZcX8kJeNH4JVqe60Enex3tMBAgQIFAuAZ+Dhm8HWsfrnYjWOh63uK933Ne9/eW9uqfu+3yvDqgDo9WBgUc84hGNe+FFpJgIECBAgAABAgQIEKi9gBHAtQ8BAAQIlFBggw02KOFe22UCBAgQIECAAAECBKZCYHAqVmqdBAgQIECAAAECBAgQIFAegY997GNp0aJF6be//e1q3ek3v/nN6brrrksnnHDCpLa73nrrTer98eZnPOMZ6dhjj02//vWv080335wuv/zy9OMf/zi95CUvmfS6R1tB675//etfL0ze8Y53DL3tOc95TrFft956a7r++uvTIx/5yKHn/ECAAAECBAgQIECAAAECBFoFdAC3ilgmQIAAAQIECBAgQIAAgdUisMsuu6S11147Pfaxj+14e0960pPS9773vY7fH2/8wAc+UHRCH3jggWnbbbdNM2fOTJtvvnnae++9U3SOT9XUbt933333wmS33XYrNrvGGmukL3zhC8V+3XvvvenPf/5z2m677aZql6yXAAECBAgQIECAAAECBCogUHwHcPNxxHcnNE+WeYiHYYGq5UM+sqodl+NRt3Jsx1w8jIyHbMNlpAsPHjk3qlg38rFNNM7z+8wJTKXAW9/61vT+978/Pf3pT+9oM6973evSSSedlObPn9/R++NNs2bNSjESOaarrroqveAFL0grviopHXbYYelb3/pWuv/++4vnuv3fqvb9uc99bmHy+te/vtjkjjvuWHQIx8IBBxyQnvrUp6ZTTjml27tjfRUQmGid9/pqXf/kENau1WpX7ak9c27HvDUe8nOtj1sWNzk22sWN+Ch3fOS21Y7lbsfV1X6D8QXBzZNlHuJhWKDq+ZCPtOrH6fjUtRzrMa97PGSLujs4fnUh50Id6kI+1onGfX6fOYEsELcd/sxnPpPOPffc9I9//COdd955xcjUHXbYIb+kmEdn6plnnpn+/ve/p9NPPz095SlPSSeeeGJxi+mvfOUrI177tre9LX34wx9O3/nOd4rHf/rTnxavi+0861nPSr/85S+L9Zx88snp4Q9/+Ij3xqjYj3/842nGjBlpyy23LN4Xt22OKeL98MMPT9///vfTH//4x3TNNdekH/zgB+lNb3pTmjZt2oj1xAjb6dOnF4/F9s8666x0xx13pP/7v/9LsX/Pf/7zi+dilHDcJjuOO27JHK+N2zH/6le/KkYQx3ryNJbVaPv+5S9/uTD5yEc+kj7/+c+nn/3sZ3m16fzzzy/2IfbjxhtvTPPmzRt6LkZRx+O33XabEcJDKvX6YaJ13uurdT2Uo127Vqtdtaf2zLkd89Z4yM+1Pm5Z3OTYaBc34qPc8ZHbVjuWux1XV/sNjQDOPc7mjb8c4MAhiqk4EAfiQB6oA+qAOqAO1LUOROybCGSBjTfeOJ122mnFqNjo8F24cGF61KMelQ499NCio3SrrbYqXhqjVj/0oQ+lXXfdNd1zzz0pHo/O3fx8Xt9Y89hGfBdudKrGv+hEPvroo0e8bYsttig6QePBuDXypZdemq644oriNR/84AeLWzfvu+++afbs2WlwcDA9+clPLtbxiU98YsR67rrrrnT22WcXj73rXe8qvgf5ox/9aNpvv/2Kx37/+9+PeH2MNo6O7KgN8Z3Jj370o9MRRxyRjjrqqOJ147Eabd+bNxYdzNGBnafLLrusOM6lS5cWx/WKV7wiP5ViRHFMcSx/+tOfhh73Q30E6nq+ctyu1yPLxYE4EAfyQB1QB9QBdUAdGFkHihHAgRI9zuYcxIE8UAfUAXVAHVAH1AF1QB2ID84mAs0C0cG53nrrFSNjY0TsYx7zmPTsZz873XzzzcXtiaPjNKaXv/zlxTxuURwdxDvttFMxUnabbbYpHh/vf/G+GGX7uMc9rugIjvfFqNrm6aCDDkr/+7//Wzx0yy23FLdHftnLXpY22mijoc7QGHkc+xrfNXzssccWr41bO7eOJo79jo7r22+/vRhNHB3ZcWvp3/3ud+nVr35182aLUbdf+9rXiv07+OCD0zHHHFM8/6IXvajorB6P1ar2fcSGViz813/9V3rPe94z9HB0uMdtoPN3HsexxBQjgaM9Yop9M9VTwPnb+dt1vOt4dUAdUAfUAXVAHVAH1IFcB4oRwHnBXHFQHBQHdUAdUAfUAXVAHVAH1IF6dp046tEE9t577+Lp6BTNo2UvvPDCdPzxxxePx/Nrrrlm2n777YvlH/3oR8X8gQceSG95y1uK2zgXD4zzv9jGJZdcUrx6wYIFxTzWP55pn332KTpiH3zwwRQd03E753/+85/p3e9+d7r77ruLW0Dvv//+I1YVI4g/97nPpT333DO9733vS2eccUa66aab0sMe9rD0yU9+csR3FMdtluO21Xn65je/Wfy49tprFyOfx2OV39vp/Etf+lJ66KGH0uabb57iO4Nj9O/MmTPTn//85/Tzn/+809V6X8kFnL+dv13Hu45XB9QBdUAdUAfUAXVAHch1YDA+3+SFmFvmIR6GTxJVz4d8Mqj6cTo+dU1dG65r8r5xEaguqAt1qgud5H3kiInARAWWLVs29JbFixcP/Rw/RBxOZIrvsV1dU3x/8JFHHlls7s4770z/8z//k1784hen6EiODuyY4vt18xS3k26eWr9TuPm5qfr52muvHerofeUrX5li5HNMRv9OlXh51lun81u0iuN1nS8O5EGd60An1/nhJW/kTZ3zpuzxL+/9Xm8idbz45JqDJn8otzz8FwJREHjwyCfFqsVDVY+rau3keNThbp6H5H3jl2TySl51M6/6PZ46yfs4JhOBZoHzzjuvWHzBC14w9H2+8V23+RbE8XyMos3fV3vIIYcUr58xY0YxsjZGqk7FFN8zHNMGG2yQZs2aVXx2u/jii4t9mT59enrve987tNl3vOMdaZ111ilGzp555plDj0c9iJHC3//+99Nee+1VPB77e+CBB6bY/5hi5HCe1l9//XTccccVt76Ox/ItmmOU8eWXX57GYxXva7fv4x3lHO//whe+ELPiu42jLeL21fF9y6Z6C9Tp/BYt7XiHf1/Tyfk+/DiKI3k0nEdlywd57/O9Ol6/85i8l/cTyfvpcWKLoDHnIA7kgTqgDqgD6oA6oA6oA+pA8cHAf7UViNGwcYvj5im+5/cpT3lK2nfffdMjHvGIFJ2nf/3rX4uO4Llz56brr78+HX300cVb4jtrYxTqC1/4wrTbbrulddddt7g1dNyauPU7fJu30enPv/3tb4u3xu2Xzz333BSds/H9wfF9vh/96EfT4Ycfnp74xCcWn3l33HHH4rXx+N/+9rehTd51113F7Z7j+OJf63TrrbcWHatveMMbiqfi1tBxq+grrrgi3XDDDWmHHXYoHv/iF7+YlixZkj71qU+Ny2pV+966/VUt/+Y3vym+o3jXXXctXhK3477vvvtW9XKP10TAedx5PEJdHIgDcSAP1AF1QB1QB9QBdWDkvauiKpgIECBAgAABAgQIECBAgECTQNyS+elPf3r6wQ9+UIyi3X333YvO1lNOOSUdcMABKTqJY/rhD39YjKaN0bDRmRwdxYceeujQ8/F4N6f4HuK3ve1t6Zprrik6p3/3u98VnaBf+cpX0utf//p04403Fh200fkb+/jv//7v6bOf/eyIXYjvCH7CE56QjjrqqHTWWWcV74mO3PgO4i9/+cvpec97Xlq4cOHQe6LDOI4pTKLzN76LN76TN74rOKbxWq1q34c2NI4fTj/99OJVMfr661//+jje4SUECBAgQIAAAQIECBAgUAeBgW222abRDV6Ho3WMBAgQIECAAAECBAiMKRAdYiYCnQjEd9Fuv/32xSjiz3/+80XnaIzOvfTSS1OMFn7nO9+Zjj322E5W3fP3fOADH0hHHHFEuvrqq9Pee+/d8/2JHTj//PML7xNPPDG98Y1v7It9shO9E4gR8CYCBAgQIECAAAECBAiEwKBh4IaBRyCIA3EgDuSBOqAOqAPqgDqgDjTXgfjZRGCiAnEL4rjt8vvf//5iBO3Pf/7z4nuBo/M3brt80kknTXSVXr8KgfiO4uhsj9r93//936t4lYfrJOA87jwe8S4OxIE4kAfqgDqgDqgD6oA6EHXACOBQMBEgQIAAAQIECBAgMCRgBPAQhR86ENhvv/3S+973vrTzzjunBx98sOgA/vWvf50+97nPpQULFnSwxv54S7+NAI7vYo7v//3Vr36VDjrooP5Ashc9FTACuKf8Nk6AAAECBAgQIECgrwSMAF7x19Ix+YsIDuJAHqgD6oA6oA6oA+qAOjBcB8LCRKATgfge3X/5l39J8+fPT5tssknad99903ve855Sd/6Gw9FHH13cxrpfbv+8//77F/uj87eTKK3me1zHuI6JyBYH4kAcyAN1QB1QB9QBdUAdiDowODAwUFwcmnOIoiAOxIE4kAfqgDqgDqgD6oA6EB8UTAQIECBQLgHnb+dv1/Gu49UBdUAdUAfUAXVAHVAHch0oRgDnBXPFQXFQHNQBdUAdUAfUAXVAHVAHytXlYW8JECBAIAScv52/Xce7jlcH1AF1QB1QB9QBdUAdyHVgYOutt26MhfZ5iQABAgQIECBAgAABAisE7rzzTg4ECBAgUDKB9dZbr2R7bHcJECBAgAABAgQIEJgqgcHmFcdfBjRPlnmIh2GBquVDPrKqHZfjUbdybMdcPIyMh2zDZaQLDx45N6pYN/KxTTTO8/vMCRAgQKCcAhOt+15f7uuhHKXasdztqP20X87lmI8VD/m1Y73O8+Iqx8p44kq89He85LbUTv3dTv3UPkYA56wxJ0CAAAECBAgQIECgEDACWCAQIECgfAJGAJevzewxAQIECBAgQIAAgakSGDECeKo2Yr0ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMPUCOoCn3tgWCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgsFoEBpcvX15sqHWet976eF72fEMge7TO+fAJgda4yMv9Gh/9ul/97mb/GucR8dMQyPHQOu9Xn37dr+xn/8oZV9qvv+viePMqv86cAAECBMohkM+/rfO8962P52XPNwSyR+u8rD5l3e/sb/+rGZfad2o/J8gbeRMCOc9a5+KjmvGhXavZrjl/J9u+xXcAx8qav5jYMg/xMPxF4lXNh6oeV3NRFMfVj2PtPXyRM554l/fO7+OJE3k1sbzqd69O8953AOeWNSdAgEB5BOI7gDut+/kovb+c14varZztJu8aAuK3s/jl1pmbvJN3IVDW/Cnrfsu73uVdMQI4fhkYwRNTDiLLPMRDtfNB3qt76nz96ry8l/fyXt5PpA4UHw78R4AAAQKlEfD7nEZnQB2vdyZyfhcn9Y2TKGbavzrtL+99vq/j+a7udUzey/uJ5v1gDhrzRvBw4NB8MSwexIN4GP5wJB/kg3yQD+pAfepAaXo77CgBAgQIDAk4T9fnPO263HW5fJfv6oA6oA6oA+qAOjBWHRgxAnisF3teUVFUFBV1QB1QB9QBdUAdUAeqXweGehP8QIAAAQKlEXB+rv752XW463B5Ls/VAXVAHVAH1AF1YLx1YODhD3944154pflIY0cJECBAgAABAgQIEJhKgbvuumsqV2/dBAgQIDAFAuuuu+4UrNUqCRAgQIAAAQIECBAoo8Bg7HT8xUDzZJmHeBgWqGo+VPW4css5PnUsx0LMxUMjHjjIC3kxLFCXfJjscQ6L+YkAAQIEyiAw2brv/eW8XtRu5Wy3XFO0n/bLsRDz8cbDeF+X1+314izHwkTiLL9H/PRH/GiH/miHMuWFEcC5tcwJECBAgAABAgQIECgEjAAWCAQIECifgBHA5Wsze0yAAAECBAgQIEBgqgSK7wBuXnncO7p5ssxDPAwLVC0f8pFV7bgcj7qVYzvm4mFkPGQbLiNdePDIuVHFupGPbaJxnt9nToAAAQLlEJhonff6al3/5CjVrtVqV+2pPXNux7w1HvJzrY9bFjc5NtrFjfgod3zkttWO5W7H1dV+RgDnjDEnQIAAAQIECBAgQKAQMAK4fIGw1lprpY022ijNnz8/zZs3L82dOzfNmTOnfAdij1e7wOLFi9OiRYvSwoUL02233ZYWLFiQ4jFT+QSMAC5fm9ljAgQIECBAgAABAlMlMLDVVlstj3uHR4+zOQdxIA/UAXVAHVAH1AF1QB1QB+6+++6p+vxhvVMgsPPOO6dNNtkkLVu2rOjEi8686MhbunTpFGzNKqsmMHv27OKPBuIPB+LftGnT0o033piuvPLKqh1q5Y9nnXXW8Xsdv9/y+z2/31QH1AF1QB1QB9QBdUAdKOpAMQK49Zd8+VNR6+N52fMNgezROufDJwRa4yIv92t89Ot+9bub/Wt0koifhkCOh9Z5v/r0635lP/tXzrjSfv1dF8ebV0YAZ6n+ns+aNSs9/elPLzp9L7jggv7eWXtXKoG99967GEV+6qmnpgceeKBU+17nnY0RwPk8nOfZIy+3zj3fEGh1yctl9Snrfpfd3f7393Vw1dtH3leznlc9bh3f5OqmvJf3IZDzqHUezxXfAdw60me0N8VKPL9qVD7io6z5Udb9zvXL/qtLrSe55mXx0T4+uLR3UVcaI6DFRzXjY7ztGq8z9bfAmmuumV760pemiy66KOn87e+2KuPenXfeeeniiy9Ohx12WIoRwqZyCDRf/7qeqff1TERsu3gQF/WOC+1f7faX9+qeut/oTG3nUNX8qOpxOV9173xV3AI6AqUZ1TIP8TCcZFXOB+1cj3aOGI5Je2vv5ovgRlSIC3khLyIv8lTVeOjkuIwAzlHRn/MY+XvooYem4447rj930F5VSuC1r31tOv7449P9999fqeOq4sHELaBj6qTu1+F8mNu8qj5VPa6qt5vjawiI384+l3HrzE3eybsQKGv+lHW/5V1v8m6wOdgjeCwPJz8P8VD1fMidQVU/TsenruWLI3W98eGIg/ObulivutjJ+T5ixNS/AnHb59NPP71/d9CeVUogbgMdMWcqh4Dr3vpe73Zyvve5wOeCqGzqRnnrhrwfvn2uOC5vHKtDE6vD8l7eT+T6bWgEcDk+ythLAgQIECBAgAABAgSmWuDuu++e6k1Yf4cCO++8c1prrbXc9rlDP2/rTCC+E/jOO+9MV155ZWcr8K7VIpBHAK+WjdkIAQIECBAgQIAAAQJ9LVCMAM57mHuOLTcEeDT+ElI8VDMetGs121XdUrdybse8NR7yc62PWxY3OTbaxY34KHd85LadaDvm95n3l8CcOXPSJpts0rXO333Wnp3+Z+uN04U7bZX+uOs26dTtN09PXXdOfx20vekLgfhO4M033zxFDJrKITDRuu/19Tzfa/dyt7v2q3f75bOROKh3HGj/erW/vG8IiPvxx70RwDlrzAkQIECAAAECBAgQKASMAO7PQNhmm23S1ltvnc4444xJ7+Cr5q+bjtx83krrufPBh9Kzrr4hLXpw2UrPeaDeAgcccEC69tpri3/1lujfozcCuH/bxp4RIECAAAECBAgQWN0CQyOA497ho02e5yM+Vi1Q1vwo637nlrD/6lKOhXZz8dE+Pri0d8kxxIdPjoV287LGx2T3u52Fx3ojMH/+/LRw4cJJb/xpm84oOn+XrfgMeMyNt6X9/3B9esqV16cv33x7evU1N01J5+/cuXPTpz71qXThhRemb3/722nbbbed8HHsueee6aSTTprw+8b7hlmzZqVf/OIXaYstthjxlne84x3ps5/97IjH8sKznvWsdOKJJ6aLL744ff3rX09xnJOZwublL3/5ZFYxZe+97bbbJn18U7ZzVjxCYLJ13/vLeT2k3crZbjl5tZ/2y7HQbr6q+FjV43kdnhdXORbazcVHOeNDu5Wz3XIOru72G+oAbh02nXcozz0/clh1dslzPnxyLLSb92t89Ot+ZUP7J69yLLSbi4/O4oNbZ245Bvnxy7HQbt6v8THZ/Wp3rB7rjcC8efPSokWLJr3xNx1+R5q9z03pf5cuTMcuvCvdeP+DacEDD6bPLbgjXbX0/kmvv90KvvjFL6Zly5algw8+OB177LFp9uzZ7V620mObbrppivfGdNlll6WPfvSjK72mWw/cd9996d3vfnf6+9//nqKz+T//8z9HXfW+++6b3v/+96cvfelL6cADD0zTp09PRxxxxKjvKfOT8ccH8UcIpv4XmGzd9/5yXu9ot3K2W64o2k/75VhoN19VfKzq8bwOz4urHAvt5uKjnPGh3crZbjkHV3f7DeYeZ/PGXw5w4BDJKA7EgTiQB+qAOqAOqAN1rwORA6b+EojRpTEKc7LTDlstS2s88db01VvuGlrVY95+Q2r+94gXnjj03GR/2GqrrdJOO+2UPv/5z6cFCxaks88+O/3+979P733ve4vvM/75z3+enve856UnP/nJxXJ0+J566qnp4Q9/ePrABz6Q9tlnn6IT+AlPeEL69Kc/vcrX5c7h6CiOEcaHHHJI+uEPf5h++tOfpre97W3FYUTH8yWXXJJ22GGHYvvx3bYxxSje2IfonN5rr73Shz/84fS0pz0tvfWtby2e32yzzdKZZ55ZjPKdNm1a8dgzn/nMdO6556Zzzjkn3XTTTemVr3xlsb9rr7128bpLL7202P4uu+xSHP8PfvCDFI994xvfSPGaV73qVcWI6OhADpMnPvGJxXrjv3b7PvRkj36I2Is/QjD1r0Ddz1uO3/V7ZKc4EAfiQB6oA+qAOqAOqAONOjAYPc6BkXueLfMQD/XIB+1cj3aOCx51XV3P+Z7n4kJeqAv1qQuTyfuoFab6CixfPrXfAbzddtsVHa6vfvWr05e//OWhDtq4DfMxxxyTbr311rT//vunr371q2np0qXpzW9+84jGaH3diCf//4V///d/T3/5y1+K2zPHiN611lqrWNf5559frDseW7x4cTHad8stt0w/+9nPinfGKOvoOP7DH/6QPvOZzxSPxejeN7zhDcVro/M4pqilDz74YPFzvDb+nXzyyUXn7XrrrZfi9tCXX355Ovzww9NrX/vadPXVVxePzZkzJ73whS8sOoyjU/z4449PG2ywQbGe/F+7fc/PmRNYlYDze33O7xEDze09mfN983pa12t5pDMPHv2UL/Le7/UiHtWletUleS/vJ5r3xQjgfPKKgpGDKOaWeYiHRlGpYj7I+8YvB9Q5da5OdU7ey/sqns/U8dHr+GTyvvgw4L++EoiOyW6MwPzj3WumY5dsmx7Ya8uh47vsvx6W4t+tl3yteGzJgsuHnpvsD9ddd13ROfpv//ZvKTpu99hjjxQdwDHdc8896Z///OfQJu6+++50/fXXFx2rMdI2bhsdna8Ry81T6+uiIzbWHbcojtfn6be//W36yle+UnQCx7ZiOuuss9IznvGMNHPmzOLn2K+LLrqo2Jf8vrzdvBz7dM0116S4TXQeAXz66acXHcLrrrtuMaL4v//7v/PLi/kdd9xRvD4/+MADDxS38M61OB6PY49O6HZTu31v97rV9VjEXjdGoK+u/a3jdup0XRvt63iHf18xmfM9x2FHcSWvypQP8t7n+4hXdatedUvey/uJ5v3QCGDFol7FQntr74kWC693UaVuVKNuaMdqtKOLfhf9Ezkvd5L38R5T/wnEd7B2owP4FV9ZP31tyaPSes/eJs3ZY8PiQKdvODtt8Mw90/w9X14s3/6H73cV4J3vfGfabbfditsvx89/+tOfitGyp512WvrIRz5S3Nq53Qb/+te/Fp2k0Wk72hS3jN5xxx3Tu971rqLTOF4bo2tjJG0eUZzfH7ec3nDDDYvbMf/mN79Ju+++e3F75/x8zOM20rvuumv67Gc/2/zwiJ/jltDRCfyjH/2oGMUb248pbvUcHbvRgbvviu8JjlHMX//619PjH//4Yr3RERy3nP7Wt76VPvaxjxXbeOihh0Z0hK9q30fswGpeiM71iEFT/wq4Pqj39UFEZlwfiIN6x4H2r1f7y3t1T92v33lP3sv7ieT9wIpbXS3PFwfmjYsEDhyak0g8iAfxMHwxJR/kg3yQD+pAPepA84jM+IBp6g+BbbbZJm299dbpjDPOmPQOrbPf5mne87ddaT3LF6+XFp+8Qbr1199Y6TkPdFfgda97XXrRi16U7rrrrqJj+Oijj+7uBrq8tgMOOKAYBR2d8qb+FIjvlnaersd5WjtrZ5/LfC5TB9QBdUAdUAfUgbHqQNEB3J8fXewVAQIECBAgQIAAAQK9ENAB3Av1sbe55pprpn322acYdTr2q8d+xexHb5DWefJmaY2Hr5OmrTUz3X/T4nT7j69NS65YNPabvaJ2AnHb7HPOOaf4HuXaHXxJDjg6gE0ECBAgQIAAAQIECBAIAR3A4oAAAQIECBAgQIAAgRECOoBHcPTVQtxmeL311kvnnXdeX+2Xnam2QPzhQXz/71VXXVXtAy350ekALnkD2n0CBAgQIECAAAECXRQY7OK6rIoAAQIECBAgQIAAAQIEplDgyiuvTHPnzk2bbrrpFG7FqgkMC2y22WZp3XXX1fk7TOInAgQIECBAgAABAgQI9L3AYNwjunmyzEM8DAtUPR/ykVb9OB2fupZjPeZ1j4dsUXcHx68u5FyoQ13IxzrRuM/vM+8/gVNPPTXF7XhNBFaHQMTaaaedtjo2ZRuTFJhonff6al0P5fDRrtVqV+2pPXNux7w1HvJzrY9bFjc5NtrFjfgod3zkttWO5W7H1dV+bgGdM8acAAECBAgQIECAAIFCwC2g+z8QZs+enQ499NCiY+6mm27q/x22h6UTiJG/0fl7wgknpHvvvbd0+1/HHXYL6Dq2umMmQIAAAQIECBAg0F5gaARw7nE2b/zlAAcOkTLiQByIA3mgDqgD6oA6UNc6ELFv6l+BpUuXpm9/+9tpjz32SHvvvXf/7qg9K6VAfOfvbrvtlr75zW/q/C1RC9b1fOW4Xa9HmooDcSAO5IE6oA6oA+qAOjCyDhQjgANlYGCguFgy5yAe5IM6oA6oA+qAOqAOqAP1rgNGAMevDsoz7bjjjmnzzTdPy5YtS7fddltauHBhMY9OYhOBsQRiNPm8efPS/Pnzi/m0adPS9ddf7zt/x4Lrw+djBLDzd73P39pf+/sc53OcOqAOqAPqgDqgDgzVgYc97GHLhxZ0Avuw5I8B/DGEOqAOqAPqgDqgDqgDta8D99xzTx92bdil0QTmzJmTNt544zR37tyhjrx4zERgLIHFixeP+MOBBQsWpCVLloz1Ns/3ocBaa61V+/OX32/5pbdfevultzqgDqgD6oA6oA6oA406MBAdwPG5JSdF/gxjuZEkPBoC4qGa8aBdq9mu6pa6FQKryu9VPS5uxM1ocSM+yh0fneS9EcA56s0JECBQHoHoAI6pk7ofvyTLk/eX83Oiditnu8m7hoD47Sx+uXXmJu/kXQiUNX/Kut/yrjd5N9gc7BE8loeTn4d4qHo+5L+EqfpxOj51LV8cqeuND0ccnN/UxXrVxU7O9xEjJgIECBAon4Dr3vpe73Zyvve5wOeCqHLqRnnrhrxvjHATx/K4TnVM3sv7iVy/DY0ALt/HGntMgAABAgQIECBAgMBUCLgF9FSoWicBAgSmViCPAJ7arVg7AQIECBAgQIAAAQJlEChGAJdhR+0jAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIwuMH30pz1LgAABAgQIECBAgAABAv0uECP/NtpoozR//vw0b968NHfu3DRnzpx+32371wcCixcvTosWLUoLFy5Mt912W1qwYEGKx0wECBAgQIAAAQIECBAgUF6BgS222GJ58z3S8z3EzRv3EufAQX4MfxeKfJAP8kE+qAPqgDpQjzqg86dcH/B23nnntMkmm6Rly5YVnXjRmRcdeUuXLi3XgdjbngjMnj27+KOB+MOB+Ddt2rR04403piuvvLIn+2OjnQvEH304T9fjPK2dtbPPZT6XqQPqgDqgDqgD6sBYdcB3AHf+2co7CRAgQIAAAQIECFRSwHcAl6NZZ82alZ7+9KcXnb4XXHBBOXbaXpZCYO+99y5GkZ966qnpgQceKMU+28mUfAewKCBAgAABAgQIECBAIAsMRg9xTOYcxIE8UAfUAXVAHVAH1AF1QB3IdSBiwdS/AmuuuWZ66Utfmi666KKk87d/26mse3beeeeliy++OB122GEpRgibyiGQ67e567mIWHEgDsSBPFAH1AF1QB1QB+pdB4pbQEchWNVw8XguJs+3H07e0OEjPsoZH9qtnO2m7jQExG9n8cutMzd5J+9CoKz508l+GwGcs74/5zHy99BDD03HHXdcf+6gvaqUwGtf+9p0/PHHp/vvv79Sx1XFg8nf+91J3c+/HAwX7y/n9aJ2K2e75Vqk/bRf1OHWOBgrPlpfn5fHep/nGwLZq3XOh08ItMZFXu51fOT9aJ33er9svyHQ2i55uVc+g7HhvBPt5p7n0y4u8kWJ+Ch3fOR2bJ1r13K3q/bTfqPV7dZ8z8viRtyMFjfio9zxkfO8dT5au8Zzpv4ViNs+n3766f27g/asUgJxG+iIOVM5BJzP23cihUtMVfZpPc/n5aoft+Ordlxr39HbN+d565zb6G58+JT5eqA13/OyuBbX7eJ6aARwBIiJAAECBAgQIECAAAECixcvhtCnAjvvvHPxPZ9u+9ynDVTR3YrvBL7zzjvTlVdeWdEjrMZh5RHA1TgaR0GAAAECBAgQIECAwGQEihHAeQX5LyItNwR4NP5CVjxUMx60azXbVd1St3Jux7w1HvJzrY9bFjc5NtrFjfgod3zktp1oO+b3mfeXQHTubLLJJl37zt+dn3tk2uN9V6WZr7uu+Lfnip93fs47+uug7U1fCMR3Am+++eZJB2NfNMe4dmKidd/r63m+1+7lbnftV+/2yycDcVDvOND+9Wp/ed8QEPfjj3sjgHPWmBMgQIAAAQIECBAgUAgYAdyfgbDNNtukrbfeOp1xxhmT2sHBwcH0+H/7Ubp4yc5t1/OENS9N537hBWnZsmVtn/dgPQUOOOCAdO211xb/6inQ/0etg77/28geEiBAgAABAgQIEFhdAiNGAK+ujdoOAQIECBAgQIAAAQIECExMYP78+WnhwoUTe1ObV2/3tLeO6Px9wtbT0mn/Oifd/PG10x5bTksXLNk97fi0N7Z55/gf2m233dI3vvGN9Jvf/CZ9/vOfH/8bm155+OGHp6OOOqrpke7+uOeee6aTTjpppZWecMIJ6eUvf/lKj3/2s59Nf/jDH4p/Z5555krPj+eBK664Ij384Q8fz0tHvOYd73hH+q//+q8Rj63uhdtuuy3NnTt3dW/W9ggQIECAAAECBAgQIECgAwEdwB2geQsBAgQIECBAgAABAgRWt8C8efPSokWLJr3ZBx/16hHrOGK/WWmL9QfSC762JP1xwUPFczN2ft2I10xkIW5T/aUvfSmde+656ZnPfGa66KKLxv326JT9z//8z+L1P/nJT9Jxxx037vdO9IWXXXZZ+uhHP1q87aUvfWk67LDDxlzF//t//y/tsMMOaf/99x/ztVV7QfzxQfwRgokAAQIECBAgQIAAAQIE+l9gcPny5cVemnOIQBAH4kAcyAN1QB1QB9QBdUAdiDpg6j+BGH0ZozAnO920ZM6IVcyZldJ1i5al8659KN1zX+OpG5asO+I1E1nYd99901133ZW+9a1vFR3WMaJ27bXXTl//+tfTpZdemn74wx+mXXbZJcWo1vg5RuF+9atfTZtuumn68Ic/nJ72tKelt771rellL3tZOuKII9KTn/zk4nuPv/jFL6ZTTz21GEF78sknp+c973npiU98Yjr77LOL3Xvve9+bTjnllGKdz372s4vHHv/4x6f4/tqYTjzxxPS5z30urbPOOik6f5/73OemT3/602m//fZLb37zm4sO4Gc84xnFa+MYzj///PSWt7ylWG73X4wSPuecc1Lsy2Mf+9ihY/ztb39bbGfnnXcuju3HP/5x+sIXvlA8H+t59atfXXSKH3PMMcVqY78vuOCC9POf/7w4pnZWUZfj37Oe9ayiY3377bdvt0tT+ljEXvwRgql/BZy/nb8jOsWBOBAH8kAdUAfUAXVAHVAHog4MxhcmRzDkL062zEM81CMftHM92jkKvbqurud8z3NxIS/UhfrUhcnkfdQKUzUF1prZ+DA8Z2Yqbvu82xbT0u4Pm1b8PHfOQHHQ07p8r6hDDjkkrbfeekUH5uWXX57i9s4xxfcMx8jbPfbYo+hcjA7huM3yZz7zmeL5/N+sWbNSdJjeeuutbUffbrfddun5z39+uvDCC9M111yTnvSkJxVvjeUHH3wwxffXrr/++sXo3ejcvfLKK4c6088666wUt2b+wQ9+kE477bTifbGd2N4LX/jCvAvF/MUvfnGxf3E76DXXXDNFZ2/s24te9KIUx7jBBhuk6ESOkcWvec1r0tKlS4vO3dj2TjvtVKzjuuuuK24xHaOIo7M7OrKjU/jLX/5yetvb3lasp9Uq6nZ8//PRRx9djJD+4x//OGK/LBAIAef3+pzfW9t7Mud7cVPfuGmNI8vlqqPy3u/1on7L23Ll7WTbS97L+4nmfTECOF/sRQDmIIq5ZR7ioVFUqpgP8r7xIU+dU+fqVOfkvbyv4vlMHR+9jk8m74sPA/7rK4G4/XM3RmBuseZdxXHdv+Juz5864750013Li3+f+Pl9adHixufA/JpOAGJE7rrrrpsOPfTQ4u0veclLhlZzxx13pPvu+/+HGa949O9//3vRSRqdtNOmTSs6hKdPnz70+vzD3Xffna6//vqiMzde99BDDxUdr80eM2bMKEb5fv/73y9G+Ob3/upXvypG8satqGMUa3TURqdv8xQd0fH+PEUn9D/+8Y80ODiyJzzfAjpGJsfxxejfiy++OM2cuaI3fcUUORf7Gv9iuuWWW9InPvGJ4ruQY30xRafwDTfcUPyc/7vnnnvSP//5z7xYzFutYoR0jEqOzuZeTGHdjRHovdj3umyzTte10aaOd/j3FZM533McdhRX8qpM+SDvfb6PeFW36lW35L28n2jejxgB3HySy8Fk3ggqDhzkx/CHIvkgH+SDfFAH1AF1oNp1oPhNgv/6TiC+g7W5w7PTHXzwsi8Vb31gRQfwf/3i/nTzXcuKf5896/6hVd5/0X8N/TzRH26++eb0wQ9+sLiNc4yQjVs4x+ja6OCM5X1XjMCNWz63m+LWzLvuumuKEbajTXHb6Bg1G7dvjulPf/pTis7ZuO10jLxt7mA988wz01ZbbVV0wsYtqHfbbbf005/+dMTqY79iVHLc1nm809VXX53e+c53pm222aZ4SxxjdPxecskl6WMf+1j6xje+UdzqOjqk4/bdCxYsKF73uMc9Ln33u98tbl39s5/9rOhEjpHHH/nIR4pbUrezipobt7L+j//4j2Ikcb5V9Xj3tRuvi+//jRg09a+A6zPXZ67Pqn19pn21rzqvzqsD6oA6oA5MqA5svvnmywWNoJlQ0DTdNtz7nHTUD/VDHVAH1AF1QB2oXh1YsmRJ//Zw1HjPoqMxbgN8xhlnTFrhgLedlM75557Fen76pjWL+bO/tGTFdwSl9JTZv0qnf278HaGT3hkrKIVA3EY7bq/917/+tRT7W8edjNuSuy5zXea6rHrXZfJaXstrea0OqAPqgDrQSR0YiA7gOn4wcswECBAgQIAAAQIECLQX0AHc3qXXj0bnzj777JNOP/30ruzKlrs/J8198nvSWw9YK8U3iH32jH+m2846Ol33u+6svys7aSV9IxCjjs8555ziFtZ9s1N2ZIRA1AgTAQIECBAgQIAAAQIEQqD4QqPoOW6eLPMQD8MCVc2Hqh5XbjnHp47lWIi5eGjEAwd5IS+GBeqSD5M9zmExP/WDQHTM33jjjWnvvffuyu5cf+kp6beffkJ6+dN3Ti9b8e+S/3qizt+uyFZvJfGHB/EdzPH9xab+Fphs3ff+cl4vardytluuJtpP++VYiPl442G8r8vr9npxlmNhInGW3yN++iN+tEN/tEOZ8sII4Nxa5gQIECBAgAABAgQIFAJGAPd3IBx44IHp4osvTjfddFN/76i9q4TAZpttVnxv8imnnFKJ46nyQRgBXOXWdWwECBAgQIAAAQIEJiYwGPcOb54s8xAPwwJVz4d8pFU/TsenruVYj3nd4yFb1N3B8asLORfqUBfysU407vP7zPtP4NRTT01xO14TgdUhELF22mmnrY5N2cYkBSZa572+WtdDOXy0a7XaVXtqz5zbMW+Nh/xc6+OWxU2OjXZxIz7KHR+5bbVjudtxdbWfEcA5Y8wJECBAgAABAgQIECgEjADu/0CYPXt2OvTQQ4uOOSOB+7+9yriHMfI3On9POOGEdO+995bxEGq3z0YA167JHTABAgQIECBAgACBVQoMjQDOPc7mjb8c4MAhskYciANxIA/UAXVAHVAH6loHIvZN/SsQ38X67W9/O+2xxx5d+07g/j1ae7a6BeI7f3fbbbf0zW9+U+fv6safxPbqer5y3K7XI23EgTgQB/JAHVAH1AF1QB0YWQeKEcCBEl8gneeRKDHl5dZ541nPt7rkZT4NgezROufTnz7apT/bJeeP9tE+IZDjoXXeaXx0+r68fe9vCGSP1jkfPiHQGhd5uVfxMd7tGgGcpcox33HHHdPmm2+eli1blm677ba0cOHCYh6dxCYCYwnEaPJ58+al+fPnF/Np06al66+/Pl111VVjvdXzfSYQI4DzeSbP8y7m5da55xsCrS55uaw+Zd3vsrvb/8bvl8Vfb+oK9964y3t5H/1qecrx0Dqfquenar15/62/IZA9Wudl8BlYcVun5c2dv60HYXlk5zgPHvJl+I9F5IN8kA/yQR1QB9SBatYBHYf5o1x55nPmzEkbb7xxmjt37lBHXjxmIjCWwOLFi0f84cCCBQuSPwIZS60/n4/OfOflap6Xtat29bnL5y51QB1QB9QBdUAdmGgdKDqA46NLDp78McZyI5h4NATEQzXjQbtWs13VLXUrBFaV36t6XNyIm9HiRnyUOz46yXudPznqzQkQIFAegegAjqmTuh+/TMqT95fzc6J2K2e7ybuGgPjtLH65deYm7+RdCJQ1f8q63/KuN3k32BzsETyWh5Ofh3ioej7kvxip+nE6PnUtXxyp640PRxyc39TFetXFTs73ESMmAgQIECifgOve+l7vdnK+97nA54KocupGeeuGvG+MCBXH8rhOdUzey/uJXL8NjQAu38cae0yAAAECBAgQIECAwFQIuAX0VKhaJwECBKZWII8AntqtWDsBAgQIECBAgAABAmUQKEYA5x3NPceWGwI8Gn8JKR6qGQ/atZrtqm6pWzm3Y94aD/m51scti5scG+3iRnyUOz5y2060HfP7zAkQIECgnAITrfteX8/zvXYvd7trv3q3Xz47iYN6x4H2r1f7y/uGgLgff9wbAZyzxpwAAQIECBAgQIAAgULACODyBcJaa62VNtpoozR//vw0b968NHfu3DRnzpzyHYg9Xu0CixcvTosWLUoLFy5Mt912W1qwYEGKx0zlEzACuHxtZo8JECBAgAABAgQITJXAUAdw873DY2OWh+8lzkM8VDUfqnpcuWA6PnWs+S/CxEMjHjjIC3kx/JeSdcmHTo7z3nvvzadT8xII7LzzzmmTTTZJy5YtKzrxojMvOvJ05Jeg8fpgF6PTMP5oIP+bNm1auvHGG9OVV17ZB3tnFyYikDuAO6n7rg/Kf32g3V3ny+Py53Gu+ePN5/G+bqLr9fqGAF91tR/rqrgUlxOJy6EO4FzYzQkQIECAAAECBAgQqLeAjsNytP+sWbPS05/+9KLT94ILLijHTtvLUgjsvffexSjyU089NT3wwAOl2Gc7mVLuAGZBgAABAgQIECBAgACBwfiLgZjMOYgDeaAOqAPqgDqgDqgD6oA6kOtAxIKpfwXWXHPN9NKXvjRddNFFSedv/7ZTWffsvPPOSxdffHE67LDDdCqWqBFz/TZ3PRdhKw7EgTiQB+qAOqAOqAPqQL3rQDECOIJgIsOGvZ6XeCn/bWXksTyWx+XP47iQj2m8+Tze1zXWOv71en1DgK+62o91tdO4NAI4V7b+nMfI30MPPTQdd9xx/bmD9qpSAq997WvT8ccfn+6///5KHVcVDyZGAHda97OH95fzeka7lbPd5F1DQPx2Fr/cOnOTd/IuBMqaP2Xdb3nXu7wrRgDHL6sieGLKQWSZh3iodj7Ie3VPna9fnZf38l7ey/uJ1IHiw4H/+lIgbvt8+umn9+W+2anqCcRtoCPmTP0v4Pc5jc6AOl7vTOT8Lk7qGydRxbR/ddpf3vt8X8fzXd3rmLyX9xPN+6ERwPmjTHMQxWOWh4OKh3ioWj7I+4ZA1drV8ajb+WKg3XlL3sv7dnGhblS7bnSS9/fee29+m3mfCey8885prbXWmpLbPh9wwAHpkksuSbfffnufHbXd6bVAfCfwnXfema688spe74rtjyKQRwDnlzi/V/v83tq+2r0h0OpiuV55ULf2lvfyPgTqFvd1P155L+8nkvdDI4Cb3xRJZHm4ePIQD1XNh6oeV/6LVsenjuWLQnV8uI7LC3khLxq/BKtTXegk7+M9pv4TmDNnTtpkk02mpPP34x//ePryl7+c7r777v47cHvUc4H4TuDNN988RQya+lfA56Dh24HW8XonIrOOxy3u6x33dW9/ea/uqfs+36sD6sBodWBg0003bdwLLyLFRIAAAQIECBAgQIBA7QWMAO7PENhmm23S1ltvnc4444yu7uD06dPT+eefn9773vemX/ziF11dt5VVRyBGiF977bXFv+ocVbWOZI011qjWATkaAgQIECBAgAABAgQ6Fhjs+J3eSIAAAQIECBAgQIAAAQKrTWD+/Plp4cKFXdneij8ETh/60IfS8ccfn17xilekL3zhC+lFL3pR+vrXv5722GOPrmxjVSs5+OCD00knnVSMZH7Tm960qpeN+niMVn7uc5876msm8+Thhx+ejjrqqJVWccUVV6Rtt912pcfjgehA/8Mf/pCe/exnt31+VQ8++clPTmedddaqnu6bx2+77bY0d+7cvtkfO0KAAAECBAgQIECAAAECqxaYvuqnPEOAAAECBAgQIECAAAEC/SIwb968dPnll096d9ZZZ51iFPHGG29crOtZz3rWiHU+/OEPTzHa86GHHhrxeDcW9t9//3TkkUemd7/73elPf/pTesITnjDu1b70pS9N06ZNKzqtP/e5z6Wbb7553O+d6At/8pOfpBhNOWvWrGJ/f/rTn6bf/va3o65mv/32S9ddd1166lOfmuL1VZvijw/iO6hNBAgQIECAAAECBAgQIND/AtObvyshdtfy8Hdn8BAPVc+HXKKqfpyOT12L70LIU93jgUNDoO5x4PjrVRc7zfv8PvP+EYjRlzEKc7JTdO7mzt9263rzm988JZ2/sa2nP/3p6Ze//GU655xzik2ffPLJaaeddipG22655ZbpsssuS0cccUR6/etfn574xCemBx98MN1xxx3pe9/7Xor9WrJkSTEKOjqDf/azn6WNNtpoxOve8Y53pAsvvDBFR/OLX/ziFOv8wAc+kD772c+mDTbYIMXtzWPk89VXX53e8pa3pEc+8pHpne98ZzEa+TOf+Uz6xz/+kd72trcVI3LjO2///Oc/pxe84AVpt912S//2b/9W7HPs3y677JKOPvroYh/iwcc+9rHF+t/3vvcVj0fHcbz+cY97XLHN+O7mGCG8zz77rPRYsdIV/6299tpt9zM/3+t5xF78EYKpfwWc3+t1fm9t7xyZrY9brndcaP9qt7+8bwiI82rHufYd2b7yXt6HwHjzYrD5l+LxRsvDnQQ8xEPV8yFiPKaqH6fjU9cakd74v+7xkC3q7uD41YWcCzGvejzkY53oceb3mVdPYLPNNhv1oG644YZRn+/2k6997WuLDtkYiTxnzpz0whe+sNjEsmXL0mGHHVbckjpGn8btl3/wgx+k0047bcQuNL/uUY961IjnYuGQQw5J0Zn761//Ot15551Do45PP/30ouM2OotvueWW9JjHPCa13o75S1/6UrrnnnvShz/84fT3v/+9WHd8X/KZZ56ZDjzwwKFtPfOZz0yXXnpp8fjg4GDKo6rXXHPN9O///u/FdyxHp3VM7R6Lx1e1n/GcicB4BCZa572+WtdDOUa0a7XaVXtqz5zbMW+Nh/xc6+OWxU2OjXZxIz7KHR+5bbVjudtxdbXfYPQUx2TOQRzIA3VAHVAH1AF1QB1QB9SBXAciFkz9JbBo0aKujMC8/fbbRz2w5zznOaM+P5kno9M1Oll33XXX4vbK0ekZ0wMPPJDi+JrjLzpcly5dWowCjls/R0fvjBkzVtp88+vi/fEvbt8cI37zFCOJP//5zxe3vo5RvTHFLagXLFhQjDb+5je/mbbffvuic/j//u//8tuKeayvebsXX3xxuvXWW4vbUecXPuUpTyneGyOYY/RvjLLOU+x383HF4+0ei8fb7Wc83g9TjP7txgj0fjiWqu5DjjNz13MR4+JAHIgDeaAOqAPqgDqgDtS7DhQjgCMIosfZnIM4kAfqgDqgDqgD6oA6oA6oA/GLAlP/CcQo2G7cgveiiy4a9eDi+3Wjk3Yqphg5e+KJJxbf43v22WenrbbaKn39619Pj3/844vbP0dHcDzfborv4D388MPTy1/+8nZPF4/l93/hC19I8V3GMcWo4ehc/tGPfpSioza+pzdPcTvquE107Fd0jMctpuP20M1TfO/yV7/61aKDuPnx/HPc1nn27Nlpr732SjvssEOK21DHLaFnzpxZdGyfe+656WlPe1r6zne+U7wl9rH1sXhitP3M2+rlfP78+cXtt3u5D7Y9uoDzt/O363jX8eqAOqAOqAPqgDqgDqgDQ3VgxXcRLR9a0AmsE9wfA/hjCHVAHVAH1AF1QB1QB2pfB+67777Rexk82xOBbbbZJm299dbFKNbJ7sCpp55afBdtu/XEqNsdd9yxuF1yu+c9Nj6B6AiO7/59+9vfPvSGdo8NPdnnP8So5muuuSb99a9/7fM9re/uxehzv9/xS1+/9PVLX3VAHVAH1AF1QB1QB9SBqAMD0QEcH49yUcgflSw3igSPhoB4qGY8aNdqtqu6pW6FwKrye1WPixtxM1rciI9yx0cneX/vvffmZjfvI4H47tgYbRq3UZ7stP7666dzzjmn+G7c1nV9/OMfT5/85CdbH7Zcc4FnPOMZRczEHwiY+lMgOoBj6qTuxy8J8+T95fycqN3K2W7yriEgfjuLX26duck7eRcCZc2fsu63vOtN3g02B3sEj+Xh5OchHqqeD/kvgap+nI5PXcsXR+p648MRB+c3dbFedbGT833EiKn/BOL2xDfeeGPae++9J71zd9xxR3rqU5+ajjrqqLTTTjuljTbaKMV3/x555JE6fyetW70VxB8eXH/99cV3Mlfv6Kp1RK5763u928n53ucCnwuiAqob5a0b8r4xwk8cy+M61TF5L+8ncv02NAK4Wh95HA0BAgQIECBAgAABAp0KuAV0p3Kr530HHnhguvjii9NNN920ejZoK7UW2GyzzdJuu+2WTjnllFo7lOHg8wjgMuyrfSRAgAABAgQIECBAYGoFihHAU7sJaydAgAABAgQIECBAgACBbgnE9/fG7XhNBFaHQMTaaaedtjo2ZRsECBAgQIAAAQIECBAg0CUBI4C7BGk1BAgQIECAAAECBKoiYARw/7fk7Nmz06GHHlp0zBkJ3P/tVcY9jJG/0fl7wgknJN8LXo4WNAK4HO1kLwkQIECAAAECBAisDoHBuGd4TOYcxIE8UAfUAXVAHVAH1AF1QB3IdSBiwdS/AkuXLk3f/va30x577NGV7wTu3yO1Z70QiO/8jds+f/Ob39T524sG6HCbuX6bu56LEBIH4kAcyAN1QB1QB9QBdaDedcAI4KiCJgIECBAgQIAAAQIEhgSMAB6iKMUPO+64Y9p8883TsmXL0m233ZYWLlxYzKOT2ERgLIEYTT5v3rw0f/78Yj5t2rR0/fXXp6uuumqst3q+zwSMAO6zBrE7BAgQIECAAAECBHooMLDxxhsvHxgYKP4y0JxD/EWIOBAH4kAeqAPqgDqgDqgD9a4D999/fw8/oth0JwJz5sxJKz7bpblz5w515MVjJgJjCSxevHjEHw4sWLAgLVmyZKy3eb4PBWbOnOnzvN9v+f2e32upA+qAOqAOqAPqgDqgDhR1oOgAjs8tq/olX/5M4/n2vwTk0xAQH+WMD+1WznZTd9SdEOg0fzt9n7gTd5OJO/HT2/jpJO+NAM5Ra06AAIHyCEQHcEyd1P18e0DvL6+fdvf5vt0f8RZFQV2obF2U9/Je3q/8x/tVr3vyXt5PJO8HR7u4j2Dy/Kov/vmIj7LnR7tiIa7Fddnj2v6Pft6S9yt/OFD31L2q141O8j5MTAQIECBQPoG4rumk7rseKv/1kHZ3nd8u/6OKtXs8x4vny+2T27F1rl3L3a7aT/uNVrdb8z0vixtx0y5uhkYAR4CYCBAgQIAAAQIECBAg4BbQYoAAAQLlE8gjgMu35/aYAAECBAgQIECAAIFuCxQjgPNKo4e4ebLMQzwMC1QtH/KRVe24HI+6lWM75uJhZDxkGy4jXXjwyLlRxbqRj22icZ7fZ06AAAEC5RSYaN33+nJfD+Uo1Y7lbkftp/1yLsd8rHjIrx3rdZ4XVzlWxhNX4qW/4yW3pXbq73bqp/YxAjhnjTkBAgQIECBAgAABAoWAEcACgQABAuUTMAK4fG1mjwkQIECAAAECBAhMlcCIEcBTtRHrJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGpF9ABPPXGtkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHVIjC4fPnyYkPmHCIQxIE4EAfyQB1QB9QBdUAdUAeiDpgIECBAoFwCzt/O3xGx4kAciAN5oA6oA+qAOqAOqANRB4rvAI5gaP5iYss8xMPwF4lXNR+qelxR2GJyfOqYOrZyHZMX8kJerJwXjbNGdc8bnea97wDOkWFOgACB8gjEdwB3WvfzUXp/Oa8XtVs5203eNQTEb2fxy60zN3kn70KgrPlT1v2Wd73Lu2IEcPwyMIInphxElnmIh2rng7xX99T5+tV5eS/v5b28n0gdKD4c+I8AAQIESiPg9zmNzoA6Xu9M5PwuTuobJ1HMtH912l/e+3xfx/Nd3euYvJf3E837wRw05o3g4cCh+WJYPIgH8TD84Ug+yAf5IB/UgfrUgdL0dthRAgQIEBgScJ6uz3nadbnrcvku39UBdUAdUAfUAXVgrDowYgTwWC/2vKKiqCgq6oA6oA6oA+qAOqAOVL8ODPUm+IEAAQIESiPg/Fz987PrcNfh8lyeqwPqgDqgDqgD6sB468DARhtt1LgXXmk+0thRAgQIECBAgAABAgSmUuCBBx6YytVbNwECBAhMgcCMGTOmYK1WSYAAAQIECBAgQIBAGQUGY6fjLwaaJ8s8xMOwQFXzoarHlVvO8aljORZiLh4a8cBBXsiLYYG65MNkj3NYzE8ECBAgUAaBydZ97y/n9aJ2K2e75Zqi/bRfjoWYjzcexvu6vG6vF2c5FiYSZ/k94qc/4kc79Ec7lCkvjADOrWVOgAABAgQIECBAgEAhYASwQCBAgED5BIwALl+b2WMCBAgQIECAAAECUyVQfAdw88rj3tHNk2Ue4mFYoGr5kI+sasfleNStHNsxFw8j4yHbcBnpwoNHzo0q1o18bBON8/w+cwIECBAoh8BE67zXV+v6J0epdq1Wu2pP7ZlzO+at8ZCfa33csrjJsdEubsRHueMjt612LHc7rq72MwI4Z4w5AQIECBAgQIAAAQKFgBHAAoEAAQLlEzACuHxtZo8JECBAgAABAgQITJXA0Ajg3ONs3vjLAQ4cIunEgTgQB/JAHVAH1AF1oK51IGLfRIAAAQLlEajr+cpxu16PLBUH4kAcyAN1QB1QB9QBdWBkHShGAAdKfIF0nkeixJSXW+eNZz3f6pKX+TQEskfrnE9/+miX/myXnD/aR/uEQI6H1nmn8dHp+/L2vb8hkD1a53z4hEBrXOTlXsXHeLdrBHCWMidAgEB5BGIEcD7P5Hne+7zcOvd8Q6DVJS+X1aes+112d/vf+P2y+OtNXeHeG3d5L++jXy1POR5a51P1/FStN++/9TcEskfrvAw+xQjg5s7fOIiYWg+mednzfJrjQfwM//FEmfNHXstreT3yj6GaPaqaH1U9rnxecnzqWnMe57jI87rGx3iPO15nIkCAAIFyCbQ778URtHu87ufDqh+/dhf38t7n+1zn8lxdUBfUherVBXktr8fK64ENN9yw6PFtPhlE4FhudOqFRUw8eEQy5akq8VCV46hauziehoD4nJq6y3VqXOWtvA2Bfs2vTvarKiOAN9poo5ye5gQIEFilwC233LLK58r0xPTp04vd7aTuV/Hzbm67unjU5Tjr1q6OtyEgvtt/juXS3kXeyJsQqGp+VPW45O3U5G3x6SAHjXnjpMGBw2h/OSE+xIf4WPVfzMkP+SE/5Ic6UI06kD98lX1elU6dsreD/SdAYPUJOA9X4zysHbWjz1U+V6kD6oA6oA6oA+rAZOvA0Ajg1fdxxJYIECBAgAABAgQIEOhngQcffLCfd8++ESBAgEAbgTwCuM1THiJAgAABAgQIECBAoGYCg83HG39R0DxZ5iEehgWqlg/5yKp2XI5H3cqxHXPxMDIesg2XkS48eOTcqGLdyMc20TjP7zMnQIAAgXIKTLTue325r4dylGrHcrej9tN+OZdjPlY85NeO9TrPi6scK+OJK/HS3/GS21I79Xc79VP7GAGcs8acAAECBAgQIECAAIFCwAhggUCAAIHyCRgBXL42s8cECBAgQIAAAQIEpkpgMO4hHVOe5w3l5da55xsCrS55mQ+fEMjx0Drv1/jo1/3KfvavIZA9Wud8+IRAa1zk5VXFx6oeH+t9nm9cN/FrCOR4aJ3z6U+fibZLfr05AQIECJRDwPnY77eaI7U1HvJyfk1ebp17viHQ6pKX+fAJgRwPrfNexUevtpuP3/YbAtmjdc6HTwi0xkVe7jQ+On3fZLfr/eX6vaARwDlTzAkQIECAAAECBAgQKASMABYIBAgQKJ+AEcDlazN7TIAAAQIECBAgQGCqBFYaAZx78M1H/uUoDx6RhOJAHIgDeaAOqAPqgDpQlzoQsW4iQIAAgfII1OX85Dhdj0dWigNxIA7kgTqgDqgD6oA6MHodKEYAB1LzFxNb5iEehr9IvKr5UNXjihN/TI5PHVPHVq5j8kJeyIuV86Jx1qjueaPTvDcCOEeGOQECBMojECOAO637+Si9v5zXi9qtnO0m7xoC4rez+OXWmZu8k3chUNb8Ket+y7ve5V0xAjh+GRjBE1MOIss8xEO180Heq3vqfP3qvLyX9/Je3k+kDhQfDvxHgAABAqUR8PucRmdAHa93JnJ+Fyf1jZMoZtq/Ou0v732+r+P5ru51TN7L+4nm/dAI4FV9omkOqnav8fxw0PFZWUB89Hd8rNxijUe0W3+3m/bRPvlk3y6Hx4qPdu+Jx8Z6n+fF3WTiTvz0Nn46yfuHHnpoVW/zOAECBAj0qUAeAbyq3XM+7u35eKr9tXt7gal2t/5q51W/t2/7qPf5vt/bzf6pG5P5/Yq8by8gr9rn1dB3AAdbILXOm4PR83zEx8g8KXN+FMm+4j95La/l9cg8KHNet17stOa3vG8ItLqM5eb5kReR/Mp13ug07/P7zAkQIECgPAJVvo51PTb69ViOUtdp5bpOE9ejxzWf0X3kfUNA3VP3IhKa46DK10PyXt63xnteXlXcD8yfP79xL7wcPeYECBAgQIAAAQIECNRawAjgWje/gydAoKQC06ZNK+me220CBAgQIECAAAECBLotMNjtFVofAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECPRGQAdwb9xtlQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAl0XGPEdwLH25ntFW+YhHkbeIb1qHrmiVO24HE+141b7Tq595X1DQBxNLo74lcuv07zP7zMnQIAAgXIIOD+X6/zc7fbKUdrt9VpfveNK+/d3+8v7hoA47e841T7dbR95L+9DYLx51fY7gOPN+Yuzc0A1zz3PR3wMNKfEiJ/Lmh9l3e+Mb//VJXVp4nVJ3sgbeTPxvCn7eWe8ee87gHNLmxMgQKA8Au2+A3i8dX9VR+n95bxe1G7lbLech9pP+3XyOU3ciJtO4kbdaQiUNX/Kut/ibvXF3dAI4AiWmHLQNC/nx/M8ionnh72yS57zER9lzA9xK27LGLfq7uTO2/Je3sv7+l3PTSTvo8aaCBAgQKA8Au3O6xOp+96/8nVBWf3Kut+RbRGH9t/nlHb1SHyMnh/yRt7Im5XP41WvG/Je3o+V94M5SMwbwcKBQ/OHDfEgHsTD8Idv+SAf5IN8UAfqUwfig7Kp/wTe8573pEWLFhX//vd//3fcO/jhD384vfKVr0y/+tWv0p577jnu93khAQLlEnCers952nW563L5Lt/VAXVAHVAH1AF1YKw6UIwAHutFnldMFBPFRB1QB9QBdUAdUAfUgfrUgXJ1edRrb48//vg0d+7cdOihh477wL/xjW+k0047bdyv90ICBMop4Dxdn/O063LX5fJdvqsD6oA6oA6oA+rAWHVgYN68eY2x8S2fb3LwtDw8tOj5RnANgbT8wIdPJN+qpn6Nj37dr+xo/+RVGfOq3+NXXskreVW+8/Vk68p48t53AGfl/prHCOANN9wwvfWtby127DOf+Uzafvvt00YbbZQuuOCCtMsuu6Rjjz02LVy4MH384x9PN954Y3rd616X3va2txU/H3TQQcXPF198cdp3333Tpz71qbTWWmulT3ziE2mnnXZK2267bfrnP/+ZXvKSl6SvfOUr6fe//32677770uMf//j061//Or3vfe8r1rP33nunb37zm2mbbbZJ//jHP9Lb3/729Mtf/rL4OTqaYzsPPPBAOvPMM9NRRx2VYrTy7rvvnr7whS+kW265Jb3jHe9IS5cuTTfccEPRmX3ttdemf//3fx+xzte85jVp8eLF/dUA9oZAnwsMDg623cPx1H3XA9W7HtDurvPldfXyOhf5VeX3qh4f632ebwjwUzfLWDfFrbgdLW6LTwcRJDE1z+NNzcue59McD+KjmvmhXavZrrl+a1/t21zHxUXjvC4v5EW7vKh6fown7sPA1J8Chx12WHEL6COPPLLYwUsuuSR961vfKjpSP/axj6UXvOAFaZ111km/+c1v0sYbb5ye/exntz2QN7/5zUVn8etf//r0lre8pXjNkiVL0qte9aq2r99nn33S+eefn4444oj0uMc9Lu2xxx5Fp++sWbOKzuP1118/vfe9703Rmbts2bL0ile8otiXGTNmpHvuuSdFp/Mb3vCGYt133nln0RG91157Fa95/vOfv9I6H/OYx7TdDw8SIDC6QLvz2njqfrv3xZbice8v5/WSditnu8k7dWcydVfey3vn85X7uapeV+W9vB8t74sO4AiSmMw5iAN5oA6oA+qAOqAOqAPqgDoQMWDqT4F8C+gYtRtTdKbGKN3bb7893XvvvWn69Onp4IMPTj/5yU/S5ZdfnmbOnLnKA4kRttE5m6eLLrqoWEcs33///WmNNdZI0bEb09e+9rVilPF3v/vdtOaaaxadvNHhHKN8b7rppnT33XcXHcTx2hh5HOueNm1a2nXXXdMjHvGIFK/N+3LXXXel6GyOfY95/sAaHcd5nbEOEwECExdwHec6LqJGHIgDcSAP1AF1QB1QB9QBdaD9/YGiOpgIECBAgAABAgQIECBAoK8E8gjgn/70p6vcryuvvDK9+93vTltsscUqX/PFL36xGLH74x//OMWtpGPKvyCIn3/4wx+ml73sZcXtn2P5kEMOSS9+8YvT1Vdfnc4+++z029/+Np1zzjnFLahvvfXWEe+N1+fpb3/7W3Hb6rhN9GhTjFhuXueCBQtGe7nnCBAgQIAAAQIECBAgQIAAgVEEVvkdwKO8x1MECBAgQIAAAQIECFRYIEZimggQIECgXAKr+g7gch2FvSVAgAABAgQIECBAoBsCg/mvvM0NB4+AEgfiQBzIA3VAHVAH1AF1QB2IOmAiQIAAgXIJOH87f0fEigNxIA7kgTqgDqgD6oA6oA5EHTACOBRMBAgQIECAAAECBAgMCRgBPEThBwIECJRGwAjg0jSVHSVAgAABAgQIECAw5QJGAC/3lwARZf4iRByIA3mgDqgD6oA6oA6oA811IH42ESBAgEB5BJzHnccjWsWBOBAH8kAdUAfUAXVAHVAHog4MzJ07t5AYGBgoLhJb5/GimFofz8uNZz2fPVrnfBoCrS55mU9vfXI7tM61S2/bhT//EGjNy7w82fjI62mdT3a93t8QaHXNy3z4hECOh9b5VMdH6/by8mjbNQI465gTIECgPAJR32PKdb51no+k9fG87PmGQPZonfe7T+v+5uV+32/7V+640369bb+c561z7dLbduHPPwRa8zIvTzY+8npa55Ndr/c3BFpd83JZfQZjx/NBtJt7nk+7uIi/IInHxUe54yO3Y+tcu5a7XbWf9hutbrfme14WN+JmtLgRH+WOj5znrfPR2jWeMxEgQIBA+QScz9sPbqjD7y9az/N5OaJYXNQ3LrR/teM/53nrXLtXu921b73btzXf87K4qHdcrKr9h0YAxwtMBAgQIECAAAECBAgQiA+Rpv4TOPDAA9N73vOetO222/bfztmjygv85S9/SR/72MfSj3/848ofa1kPMHdylnX/7TcBAgQIECBAgAABAt0TGNEBnP8iMK/ecuMvBHk0BMRDteJBXIvrEJDX1crrsdpT3st7eV+/utdp3usAznL9Nf/1r39d7NAPf/jD/toxe1MLgYMPPrg4zr322qsWx1vGg4xrwTyNdV3o+Wp9DtDuDQFxXa241p6jt6e8l/chIE9Gz5Oq+ch7eT/RvB/RAZwDyJwAAQIECBAgQIAAgfoK6ADuz7ZftGhR+sQnPpGOOeaY/txBe1VpgXe9613pyCOPTHPnzq30cZb54OKXnCYCBAgQIECAAAECBAiEQPEdwCgIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoPwCOoDL34aOgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAoXAYL69m/nyAoQDhwgEcSAOxIE8UAfUAXVAHah7HYgcMBEgQIBAeQTqft5y/K7fI1vFgTgQB/JAHVAH1AF1QB1o1IHB/EXY+btiLDe+OJxH47uDxEN14yGKoDgX53FBJM+rm+et7Svv1T11v351fzJ5HzXERIAAAQLlEXBdX5/r+ojK5vaezPm+eT2t67U80pkHj37KF3nv833Eo7pUr7ok7+X9RPO+GAGcT15RMHIQxdwyD/HQKCpVzAd53/jlgDqnztWpzsl7eV/F85k6Pnodn0zeFx8G/EegggKLFi2q4FE5JAKjnw/Cp07XvXU73smc78VFdX/vU7c8qNvxynuf732+r1//lbyX9xPN+6ERwK0nyRxMee75kR+Wskue8+HT/KEpx0We92t89Ot+9bub/Wt/ss0ueS6++rMuapf+bBd5o660u4jPcZHnneZvJ++L95gIECBAoFwCkz1feH+5r0ciWsv4ewlxV+640369bT95r+6p+8N/xJPrUZ5XNT+qelxVb7deHd/QCOAInLwT7eae59MuLvJJRnyUMz60WznbTd61v91Hdslz8d0+vrm0dxE38iquc6qaH50cV4Hhv9IKHHvssWnbbbct9n+33XZLRxxxRPrIRz6SPv7xj6cttthipeM67rjjhl6/0pNdeOC0004r1vKVr3ylC2uzCgIEViXgeqbe1zMRF35v0+iMa+fAR3y0i4uy101xLa6rGNdlz8up3n95L+8nkvfTI2AiKM05iAN5oA6oA+qAOqAOqAPqgDpQfDDwXyUEnv3sZ6eNN944ffazny2OZ+211y46gt/5znemZzzjGWmttdZKJ5xwwmo71te//vXj2tZ//ud/pu9+97vpT3/607he70UECAwLOI87j0c0iANxIA7kgTqgDqgD6oA6oA4UHcC5xziKQkyWh2/fwUM8VDUfqnpcRRFTx9TxFSP58kWOOj5cx+W9uJAXjYv/OtWFyeZ9Pq+a97fAc5/73PTKV74y3XzzzenDH/7w0M7ut99+6ROf+EQx8ve6665Lm222Wfrxj3+cDjjggPTiF784zZgxo3hPvOHd7353evSjH51OPvnk9LnPfS596lOfSkuWLEnrrrtu+uQnP5n+4z/+I11zzTVpm222STfccENatmxZ2nPPPYv1xPqe9KQnpYceeij9/e9/T5///OeL92ywwQbp3nvvTYODg8U+xUjg6Hh+4xvfmJ72tKel+C7e1772tSn2/1//9V+Lc/c3vvGNtP/++6d4b3Rcv/SlL0277LJLse7orD7llFOKdcW+x2s33XTTdNlll6Wvfe1rKTqO11hjjbRw4cL05je/OX31q19tu8/FCvxHoKICk6373l/O60XtVs52y2VI+2m/Tj6niRtx00ncqDsNgbLmT1n3W9z1Lu6KT+LNxSJ2xfLwLwd5iIeq5kNVj6tRTsWt9lXHcy40n8fEhbhoFxf5MfFRzfiYbLvm+DDvb4FHPepR6a9//Wv6whe+kO6+++6hnY3O1+gEvuWWW9IvfvGLooN31qxZRWfq6aefns4444zi8XhDdK4edNBB6QlPeEIx33zzzYvXRUfvPvvsU6zzZz/7WdHBvPPOO6cPfehDKTqVH/GIR6TDDz+86Cy+7777ivdvsskm6ZGPfGR6zWteU3QGr7/++kP7FD9cf/316Xe/+13RmbzXXnulGBkc246O5O9973vpD3/4Q/rSl76U/vnPf6Y4tuc///npVa96VbG+vKJ4/R//+Meis/gd73hHesMb3pA+/elPp4MPPjhde+216TnPeU7x0nb7nNdhTqCKApOt+95fzusB7VbOdss1SPtpvxwLMR9vPIz3dXndXi/OcixMJM7ye8RPf8SPduiPdihTXhTfAZx3WPKP/ySbzSSdpMuxUMb8yfsujsVxjoUyxrH4nVj85rbmNjE3Xrxy7pSxTuZ9n2gc5/eZ979AdJZGx2mM0t19992Hdjg6b88999y00UYbpac+9alDHaZnnXVW8cvF+AvyPN14443pzjvvHBqte8UVV6T3v//96Vvf+lbxvnjdXXfdVYz8jXlMEVPTpk0r3hMjjeP1P//5z4vn8n/Tpxc3ncqLxQjdGK181FFHFZ3Ws2fPHnou/5DXm5cnM2+3z5NZn/cS6GeBidZ5r6/W9U2OTe1arXbVntoz53bMW+MhP9f6uGVxk2OjXdyIj3LHR25b7Vjudlxd7Te9+UN/BI/l4V+C8BAPVc+HfMKo+nE6PnUtx7q6PiwhL+TFcDQ431c9H3JbT/Q48/vM+1/gZS97WXr84x+fZs6cWXTi5j2OUbbPe97zits7x2NxO+fceXv55ZcXI2bbfc/uj370o3TIIYcUo3dvvfXW9JWvfCWvsu08OqBPOumkYjRxdCTHrahjRHJ8j+/SpUvTHXfcMfS+GCUc30V89NFHpw033LB4PNYft56OkcpxK+dLL720uJ1zfFdx7N8Xv/jFtN566xW3fN5xxx3TS17ykuL54447rnjsnnvuKUYMx+2v//a3v6V58+YVx5ZHAQ9t3A8EKi4w0Trv9dW6HszhrV2r1a7aU3vm3I55azzk51oftyxucmy0ixvxUe74yG2rHcvdjqur/QZW3I5reWwsepzNOYgDeaAOqAPqgDqgDqgD6oA6EHXA1H8C8Z25MdL2mGOOGffOxS2W4zbN2223XXF76Pg+37pP4Th37ty6M0z4+N/1rnelI488kt2E5VbfG5y/nb9dx7uOVwfUAXVAHVAH1AF1QB3IdaAYAZwX8jw+nowWJJ7nIz5WXUTKmh9l3W91q3FRo/3U5U7qsrgRN53Ejbpb7ro73ryP15mqIfDrX/86xT8TAQLVF2h3Xo+jbve483m5z+djtZ92F/fyvnq/t5P38lpe1y+v5b28n2zeF98B3LqSuFDMwdVu7nk+7eIix5H4KGd8aLdytpu8a1z8id/O4pdbZ27yTt7FdVBZ82e8+10coP8IECBAoFQC7T6nxwG0e9z1TLWvZ7S7uJf3qx4BWNX8qOpxOV9V+3ylfSfXvvLe+X6s8/1ga5BYHhk0PHg0J1HV4mFVJ9mqHafjkcdVzuOJxre8b39xPVFHr1dXylRXOsn7iHETgaoKuP1zVVvWcYVAmc5P9re77dXJ+T7iRTt0tx148lyddVje+3yvjtfvPCbv5f1E8r7oAM5BE/OYLDeCiId4qHo+5IvSqh+n41PXndeGz2vyvv3t/tQJdaLKdaKTvI+cMBEgQIBA+QSqfD6L1nB8w9f1rR6dnO/Ds3U9lsWZPFt1nvVbfsh7n+/V8fqdx+S9vJ9I3g+sv/76jT+TKC75/EeAAAECBAgQIECAQN0F8geKujv02/EvWrQofeITn0jHHHNMv+2a/amBwLve9a505JFHJiOo+7ex4xeCJgIECBAgQIAAAQIECIRAMQI4U7T+osdy4y9I+DQExEO14kFci+sQkNfVyuux2lPey3t5X7+612ne5/eZEyBAgEA5Bca6LvR8tT4H5CjVrtVqV+2pPXNux7w1HvJzrY9bFjc5NtrFjfgod3zkttWO5W7H1dl+RgDnrDEnQIAAAQIECBAgQKAQaP1AgqU/BH7961+nu+66K5111ln9sUP2olYC++23X1p33XXTXnvtVavjLtPBGgFcptayrwQIECBAgAABAgSmVmBgvfXWWx6/4Gm+d3hsMi+3zvPutD6elz3fEMgerXM+fEKgNS7ycq/io1fb7fVx2/7wdyb0Y1xqn6ltH3nfEMhx1jrnwycEWuMiL5c1Piay34ODI24UlN9q3mOBAw88ML3nPe9J2267bY/3xObrKPCXv/wlfexjH0s//vGP63j4pTjmZcuWrfQdubHj+fzVOs8H1fp4XvZ8QyB7tM771adf9yv72b9yxpX2m9rP55P1lVfyKgRyHLXOxUc140O7VrNdc/52q32NAM6S5gQIECBAgAABAgQIFAJGAAsEAgQIlE8gfmFkIkCAAAECBAgQIECAQAgM5g8I5o0PShw4RGKIA3EgDuSBOqAOqAPqQN3rQOSAiQABAgTKI1D385bjd/0e2SoOxIE4kAfqgDqgDqgD6kCjDhQjgAOj+a/8LfMQD8NfJF7VfKjqccUJPibHp46pYyvXMXkhL+TFynnROGtU97zRad43x0o2MidAgACB/haImt9p3c9H5v3lvF7UbuVsN3nXEBC/ncUvt87c5J28C4Gy5k9Z91ve9S7vihHA8QueCJ6YchBZ5iEeqp0P8l7dU+frV+flvbyX9/J+InWg+HDgPwIECBAojYDf5zQ6A+p4vTOR87s4qW+cRDHT/tVpf3nv830dz3d1r2PyXt5PNO8H1ltvvcZvwkrzkcaOEiBAgAABAgQIECAwlQKDg4NTuXrrJkCAAIEpEFi2bNkUrNUqCRAgQIAAAQIECBAoo8CI3+zEXxDE1DrPB9b6eF72fEMge7TO+fAJgda4yMu9io9ebbfXx237w7c/7ce41D5T2z7yviGQ46x1zodPCLTGRV4ua3x0ut/5feYECBAgUE6BfP5qneejaX08L3u+IZA9Wuf96tOv+5X97F8540r7Te3n88n6yit5FQI5jlrn4qOa8aFdq9muOX+non2NAM6q5gQIECBAgAABAgQIFAJGAAsEAgQIlE/ACODytZk9JkCAAAECBAgQIDBVAiNGAE/VRqyXAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBKZeQAfw1BvbAgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBFaLwODy5ctHbMgyj+aAEA/Vjofc1tq52u2sfbVvzvXmubgQF+JhWKDq+ZCPdKLHmd9nToAAAQLlEJhonff6al0P5ijVrtVqV+2pPXNux7w1HvJzrY9bFjc5NtrFjfgod3zkttWO5W7H1dV+g/EFw80bs8xDPAwXjyrng3auRzvHRUGV49jxTax95b28zx8U1IX6XO9NJu9zvJgTIECAQDkEnN/rc36PiGxu78mc75vX07peyyOdefDop3yR9z7fR02KqZ/i0v5MbXvIe3lfJP0E8r4YAdxcJCKILA9/aOAhHqqaD1U9riiC8lbeiu/25zEu7V3UDXWzyueNyeR95IaJAAECBMojUOXzWbSC41v157zJnO+5rtpV3Mm7fs4Pee/zfcSnOlWvOiXv5f1E8356DhrzRvBw4NB8cScexIN4GP4wLB/kg3yQD+pAfepA8ZsE/5VKYPmc6WnGkzZO0568SRrccq00MG+NNDhnRqmOwc72RmDZ4gfS8oX3pmXX35Me+uXN6YHzFqSBxQ/2ZmdsdVICztP1OU+7LnddLt/luzqgDqgD6oA6oA6MWQfWXXfd5WO+6P+/TbTXKSqKiqKiDqgD6oA6oA6oA+pA9evAtGnTJtUJ4c2rUWCDWWnmyx+RZhy4VRqYpd1Wo3xlN7X8vofS/T+6Lj1wwjUp3X5fZY+zigf20EMPDd3RzfWa6zXXa9W/XpPn8lyey3N1QB1QB9SB0erAQHQAV/GDj2MiQIAAAQIECBAgQKAzAR3Anbmt7ncNPn7DNPuo3dOAkb6rm74W21u+YmTwvR/6bXrovFtqcbxVOMjoADYRIECAAAECBAgQIEAgBAabGaKnuHmyzEM8DAtULR/ykVXtuByPupVjO+biYWQ8ZBsuI1148Mi5UcW6kY9tonGe32fenwLL0/I08zXbpdmffJzO3/5sokrsVfxhwRoff2ya8YptV0ScvxsvW6NOtO57fbmvh3J8asdyt6P20345l2M+Vjzk1471Os+Lqxwr44kr8dLf8ZLbUjv1dzv1U/sYAZyzxpwAAQIECBAgQIAAgULACOD+DoRpB2yWZn9w9/7eSXtXKYF7P/K79OCpf6/UMVXxYIwArmKrOiYCBAgQIECAAAECnQmMGAHc2Sq8iwABAgQIECBAgAABAgRWh8DgbnPTGu/bdXVsyjYIDAnMetcuadoe84aW/UCAAAECBAgQIECAAAEC/S2gA7i/28feESBAgAABAgQIECBAYEhgxgu2TgPTfYwbAvHDahEYmDGYpj/v4atlWzZCgAABAgQIECBAgAABApMXGFy+vPFdPq3zvOrWx/Oy5xsC2aN1zodPCLTGRV7u1/jo1/3qdzf7N/I74bJH61x8NQRaXfJyr3x6td1eH7fty9sc+zHP8dA6z69pfTwvl/X58e53fp15HwmsPzNNf9LGfbRDdqVOAkXsbTCrTodcumPN56fWeT6Q1sfzsucbAtmjdV5Wn7Lud/a3/9WMS+07tZ/D5I28CYGcZ61z8VHN+NCu1WzXnL+Tbd/iO4BjZc1fTGyZh3gY/iLxquZDVY+ruSiK4+rHsfYevsgZT7zLe+f38cSJvJpYXvW7V6d57zuAc8v213z6QVumNd65S3/tlL2plcC9n7w8Pfij62t1zGU62PgO4E7rfj5O7y/n9aJ2K2e7ybuGgPjtLH65deYm7+RdCJQ1f8q63/Kud3lXjACOXwZG8MSUg8gyD/FQ7XyQ9+qeOl+/Oi/v5b28l/cTqQPFhwP/9ZXA9P0366v96cXOLDnzhnTLYaenfzz5xPTPb1/V0S7c9s5z09Jz/t7Re+v+pun7bFJ3gr4+fr/PaXQG1PF6ZyLnd3FS3ziJAqb9q9P+8t7n+zqe7+pex+S9vJ9o3k/PQWPeCB4OHJovhsWDeBAPwx+O5IN8kA/yQR2oTx3o6x6OGu/ctG3XrfHRp3Tvr29Otx91YZr3maekGdusm+67eMG4PRb/5Nq0/KHlaa2DH5HW/bfHpGnzZo/7vV44LDBth/WHF/zUdwLO0/U5T7sud10u3+W7OqAOqAPqgDqgDoxVB6YLEkEyVpB43slEnVAn1AF1QB1QB9SBetWBvuvVsEMNgZmDtZZY8rPr0ppPW3Eb7D02KhzWPGCrtOzeB9Oid/8q3XvhzWnmI9ZLGxz1hLTkrBtWjPC9MQ2s8Jq2wew050WPTHd+6pI0sM7MNG3+7PTP469Kaz7z4emhW5eMeN0GH3liunG3E9JmF7w4LT75L+mB6+5O67//cWnRkb9KDy1cmgZnT0/rf2CvNGOrderbDjWPwX5veNdrrtdcr9Xrek17a291X91XB9QBdUAdGK0OFL9BiCCJyZyDOJAH6oA6oA6oA+qAOqAOqAMRAyYCZRBYcurf0rJF96ZNf3ZImrXbRumur/2+2O2BaQNpw68+NS391Y1p+orRvrP23Dit/aLt0uy9R95Gu/l1D15310qHHOt/cEVH8OwnbZYGN1hjQqOOV1pZFR64f1kVjqLSx+A6znVcBLg4EAfiQB6oA+qAOqAOqAPqQNEBHD3EzZNlHuJhWKCq+VDV48ot5/jUsRwLMRcPjXjgIC/kxbBAXfJhssc5LOanfhBYvui+ftiNnu3Dmk/bKi352fXp/j/fkZY/sCwtOeP6oX0ZXGtmGlhj2tDy9C3XWTECeFoamDGYli9b8cF/cMXogBXvaZ1GvC5OE/G6+x5KD91x7/BLpw+mdV6zY1rzgC3TjBWjjOs8RWe7qb8FJlv3vb+c14varZztlquJ9tN+ORZiPt54GO/r8rq9XpzlWJhInOX3iJ/+iB/t0B/tUKa8GDECOO94/ssAyw0BHo2/lBAP1YoHcS2uc07HXDzUIx60cz3aOee29tbe3ajvOZ7M+0Pgob/c1R870qO9WGOvTdI6r3h0WvD8U9JN+38/PXj93cWtnAfXnZX+vtPxacnp16V1X7dz272bteK20Xd+8pJ0z4+uaft8PDgwbUVH72t3TLf921npgb/cWbwubhU9fcPZacELf5qWnv33NH3ztYvH6/rfsuvvqeuhl+a4nf/ref7X7vVs91yYtH8921+717Pd5X1DoK7xX9fjFvedx/3A2muvvbz5LwciiCwP/yUBD/FQ5XxoLp5VPk55LI/F9/B5Td4PXzSJi+G4UCerXSc7yfvp06fnt5n3kcCMF26dZr1lxz7aI7tSN4F7P3l5evBH19ftsEtzvA888IDf5zTd4a5u1zc5UOt23I632tex2nf09pX3DQFxMnqc8KmWj7yX9yEw3rweWGeddUb+uUyOIHMCBAgQIECAAAECBGopoAO4P5t9YMu10pz/3a8/d85e1ULgnuedkdKCpbU41jIe5IMPPljG3bbPBAgQIECAAAECBAhMgcBg9BTHZM5BHMgDdUAdUAfUAXVAHVAH1IFcByIWTP0lsHzF7Xcf/M2t/bVT9qY2Ag+ce7PO3z5v7Vy/zV3PRaiKA3EgDuSBOqAOqAPqgDpQ7zowYgRwBIPbIbodYpwYYhIP1c6HRitrZ3Fe7TjXviPbV943BMTFyLjgUW2PTvPeCOAs13/zgYetldb81pPTwMxp/bdz9qiyAsvvfygteeEv0vKF91b2GKtwYM0jgJ3fq31+b23fHL+tj1uuVxxo73q1t7xvCIj7esV93dtb3sv7EJhIHowYARydv/Hm5pVY5iEehpOqSvmgXavZruq489hodUrey/uID3WiXnWi07yP95n6U2D5Dfek+z75+/7cOXtVWYH7PnG5zt8StO5o14HO/9U+/0d4us5znSvPq53nre0r79U9db9+dV/ey/uJ5v3A2muvXfRwNp9EIpAsD1808BAPVc2Hqh5X5GxMjk8dy78EEw/D+SAv5IW8aPxxX53qQid5bwRwREh/TzNfs12a+ert+nsn7V0lBO4/9k/p/m/8qRLHUvWDeOCBB4pD7KTuuz4o//WBdnedL4/Ln8f5PDXefB7v6ya6Xq9vCPBVV/uxropLcTmRuByMcpaDJuaWeYiHRhGpQz5EsajDcapr6pq6NlzX5L26p+7X73q3k7wvPhT4r68FokNu6ZG/ScsXNzp8+npn7VwpBSK2lrzj1zp/S9Z6rnuHr3uj6erk0cn53nVh/a4L65YXVT9eee/zvTpevzou7+X9RPJ+aARwnBBNBAgQIECAAAECBAgQmDFjBoSSCAxsuEaa9Y6d0/QnblySPbabZRB48PwF6b5P/T4tv9V3/pahvfI+5hHAedmcAAECBAgQIECAAIH6ChQjgPPh555jyw0BHo2/oBEP1YwH7VrNdlW31K2c2zFvjYf8XOvjlsVNjo12cSM+yh0fuW0n2o75feb9LxAddPe+66K05E3nFSM1H7zwlvTQ9f9My4wM7v/G65M9jFh56IZ/poiduN1zxFLElM7fPmmgDndjonXf6+t5vtfu5W537Vfv9sunB3FQ7zjQ/vVqf3nfEBD34497I4Bz1pgTIECAAAECBAgQIFAIGAEsEAgQIFA+ASOAy9dm9pgAAQIECBAgQIDAVAkMjQCOe4ePNnmej/hYtUBZ86Os+51bwv6rSzkW2s3FR/v44NLeJccQHz45FtrNyxofk93vdhYeI0CAAIH+FZhs3ff+cl4PabdytluuJNpP++VYaDdfVXys6vG8Ds+LqxwL7ebio5zxod3K2W45B1d3+xkBnOXNCRAgQIAAAQIECBAoBIwAFggECBAon4ARwOVrM3tMgAABAgQIECBAYKoEBnOPs3njLwc4cIhkEwfiQBzIA3VAHVAH1IG614HIARMBAgQIlEeg7uctx+/6PbJVHIgDcSAP1AF1QB1QB9SBRh0oRgAHRvMXJ1vmIR6Gv0i7qvlQ1eOKE3xMjk8dU8dWrmPyQl7Ii5XzonHWqO55o9O8NwI4R4Y5AQIEyiMQI4A7rfv5KL2/nNeL2q2c7SbvGgLit7P45daZm7yTdyFQ1vwp637Lu97lXTECOH4ZGMETUw4iyzzEQ7XzQd6re+p8/eq8vJf38l7eT6QOFB8O/EeAAAECpRHw+5xGZ0Adr3cmcn4XJ/WNkyhm2r867S/vfb6v4/mu7nVM3sv7ieb90Ajg/ImmOYjiMcvDQcVDPFQtH+R9Q6Bq7ep41O18MdDuvCXv5X27uFA3ql03Osn7mTNn5reZEyBAgEBJBPII4Ly7zu/VPr+3tq92bwi0uliuVx7Urb3lvbwPgbrFfd2PV97L+4nk/dAI4OY3RRJZHi6ePMRDVfOhqseV/6LV8alj+aJQHR+u4/JCXsiLxi/B6lQXOsn7eI+JAAECBMol4HPQ8O1A63i9E9Fax+MW9/WO+7q3v7xX99R9n+/VAXVgtDowsNZaazXuhReRYiJAgAABAgQIECBAoPYCRgDXPgQAECBQQoH777+/hHttlwkQIECAAAECBAgQmAqBwalYqXUSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwOoX0AG8+s1tkQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAlMiUHwHcPOa47sTmifLPMTDsEDV8iEfWdWOy/GoWzm2Yy4eRsZDtuEy0oUHj5wbVawb+dgmGuf5feYECBAgUA6BidZ5r6/W9U+OUu1arXbVntoz53bMW+MhP9f6uGVxk2OjXdyIj3LHR25b7Vjudlxd7ec7gHPGmBMgQIAAAQIECBAgUAj4DmCBQIAAgfIJ+A7g8rWZPSZAgAABAgQIECAwVQJDI4Bzj7N54y8HOHCIpBMH4kAcyAN1QB1QB9SButaBiH0TAQIECJRHoK7nK8ftej2yVByIA3EgD9QBdUAdUAfUgZF1YHBgYKC4SDLnEMkhDsSBOJAH6oA6oA6oA+qAOhAfnE0ECBAgUC4B52/nb9fxruPVAXVAHVAH1AF1QB1QB3IdKEYA5wVzxUFxUBzUAXVAHVAH1AF1QB1QB8rV5WFvCRAgQCAEnL+dv13Hu45XB9QBdUAdUAfUAXVAHch1YGDOnDnFmOAcFPljk+VGkPBoCIiHasaDdq1mu6pb6lYIrCq/V/W4uBE3o8WN+Ch3fHSS974DOEe9OQECBMojcN999xU720ndj18S5cn7y/k5UbuVs93kXUNA/HYWv9w6c5N38i4Eypo/Zd1vedebvBtsDvYIHsvDyc9DPFQ9H/JfglT9OB2fupYvjtT1xocjDs5v6mK96mIn5/uIERMBAgQIlE/AdW99r3c7Od/7XOBzQVQ5daO8dUPeN0Z6imN5XKc6Ju/l/USu34ZGAJfvY409JkCAAAECBAgQIEBgKgRmzZo1Fau1TgIECBCYQoE8AngKN2HVBAgQIECAAAECBAiURKAYAVySfbWbBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDCKgA7gUXA8RYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgTIJDMY9w2My5yAO5IE6oA6oA+qAOqAOqAPqQK4DEQsmAgQIECiPQK7f5q7nImrFgTgQB/JAHVAH1AF1QB2odx3wHcBRBU0ECBAgQIAAAQIECAwJ+A7gIQo/ECBAoDQCvgO4NE1lRwkQIECAAAECBAhMuYARwEZAF0HmL0Hq/Zcg2l/7RyEQB+JAHMgDdUAdaK4D8bOpvwV22WWX9L73vS8973nPSy95yUvSpptuOu4dPvjgg9Ouu+660us33HDDdPjhh6/0eBUfePOb35w+8IEPpCOOOCLNnDlzpUN85zvfmX71q1+ln/3sZ4Xvy172svTc5z53pdd184G3vvWt6b//+7/Htcptttkm/eQnP0lnnHFG+va3v53WXXfdcb2v+UXbbrttOvroo4uHJrLt5nX4uX8EnMedxyMaxYE4EAfyQB1QB9QBdUAdUAeiDgysueaahcTAwEBxkdg6jxfF1Pp4Xm486/ns0Trn0xBodcnLfHrrk9uhda5detsu/PmHQGte5uXJxkdeT+t8suv1/oZAq2te5sMnBHI8tM6nOj5at5eXR9uuEcBZp7/n0QEcnYA/+MEP0owZM9K73vWu9OlPfzotXbp0zB1//OMfn/7+97+n+fPnp9mzZ6cLLrigeE90AB900EHpq1/96pjrKOMLDjnkkHTeeecVXjvttFM6/fTTiw70a665Jl1++eUjDik6f5/0pCcVj4V16/MjXtylhejQHW8n83ve85504403Fp2/0ZF76623prvuumvMPYmO4o9+9KMpOsCbp4lsu/l9fu4fgXvvvbfYmVznW+d5T1sfz8uebwhkj9Z5v/u07m9e7vf9tn/ljjvt19v2y3neOtcuvW0X/vxDoDUv8/Jk4yOvp3U+2fV6f0Og1TUvl9Vneux4Pgjz9p3gXLjEX8yIA3EgDuSBOqAOqAPqQF3qQP5wY14egQceeCBdffXVaYcddkgPPvhgespTnpIGBwfTX/7yl3TKKacUI12vu+66YpTwj370o3ThhRcWnaAxenj69Onp9ttvT3/84x+LA95oo41SjH6dN29e+s///M/0iEc8ougInTNnTjr22GPTi1/84vS9730vLVq0KB155JHpG9/4RnrOc56TFi9eXKzrf//3f4s/Lo4/JHjWs56VHvWoR6Xf/e536dRTT11pP/70pz8V29xvv/3Sbrvtlu6+++6i8zk6XHNH6Le+9a20/vrrj1jefffd08Mf/vC0bNmydNZZZ6U777wz7bvvvile+4pXvCL94he/KPYpOsRidO8NN9yQLrvssmLU89prr12MnI3O3w022KBYzy9/+cuVGjtMvvjFL6YTTzwxxfNveMMbCtvf/va3hcvf/va3tOIPqovtR6fqv/zLvxQdsrGvr3zlK4v1vf3tb0833XRT+u53v5t++tOfpmc/+9npuOOOS0uWLCk+X8ydOzcddthhKW7dG89tueWW6aijjkphGPZrrLFGWrhwYdFZG53ycZxxHHGcv//97wv/WEcsR+dvjFaOY502bVqx3fe///2FeXg+9NBD6YQTTii2u/fee6cPfvCDRTtGW//whz8stv3hD384PeYxjyn2JV7z/Oc/vxghvRKOB/pWoC7nKcfputx1uetydUAdUAfUAXVAHVAHRq8Dg/GpJZDMOYgDeaAOqAPqgDqgDqgD6oA6UHww8F9pBaLTd//9909f+MIXitHA0XkbI3yjIzE6baNj9JGPfGRxfNFpfOmll6bo0Mydv/FEPP7JT34yXXXVVUWH8W233ZZuvvnmFJ2pe+21VzGCNjoHo1PxiiuuSE9/+tOLzsXojF1vvfWGbkUdnZrRYfnnP/+56JCOdbfbj3g8Ojmvvfba4r1bb711esYznpE+/vGPF7cnjg7N5uXYny222KI4vrhd8gEHHBCraDudf/756fjjjy86xuMYrr/++nTaaaelO+64o3h93P45Ok1jna1TjIT+/ve/X4wQPuaYY4aejs7dGGn9lre8pbDNT8QI4biN8iabbJIfWuU8Rhe/6U1vSjHyOPxiig7iGJUdHbPR2RzbiFt1h0t0sMcU7RedvTH93//9X9F5HHYxenerrbZK0Rkco3tf/epXpz333LMYIR4d8NGR+6pXvSq95jWvKV4b24mO5jzFtsM5OoxjVPHjHve49G//9m9Fh39+jXk5BJzHnccjUsWBOBAH8kAdUAfUAXVAHVAHig7gKAYxxV9MNE+WeYiHYYGq5UM+sqodl+NRt3Jsx1w8jIyHbMNlpAsPHjk3qlg38rFNNM7z+8zLIxC3gI7Rv3/4wx/a7nSMzr3//vuLzt2x4iFGvsYUHbjx2kMPPTTFqOHo7I3RtNHRuf322w91BsdrL7roonTSSSel3/zmN8Vo4ngs9mettdYqHo/O4Zja7UeMVo3RszEKdcGCBcXI5OLFE/gvRj3HSOaYmr8LN44ljjtP8UuQ6CTP09e//vXiuPJynsco4Sc84Qnp7LPPLr5nOUYnN08xmrZ1in2PKTrQ8xTbjraJY4zRxpOd8ojpWM9TnvKUwus73/lOcQvvuKX1eKfWGIj35cdipHGMBA7HGGVsKqdAbs+895arfb2jnRsC4rzaca59R7avvJf3ISAvRuZF1T3kvbyfaN43PiH//5GT/yIgB5Llxl8I8GgIiIdqxYO4FtchIK+rlddjtae8l/fyvn51r9O8z+8z73+BGN35whe+MMXtlr/5zW8WHaxnnnlmMYI0vgs4Ro+O9p3AcRvjGBX6j3/8IzV3LjYfeYyOfdnLXlZ0/ubO4RhJG98XHLcdjlspH3744UXnc3R4XnLJJcXbb7nlluL7hGPUb3TQrmqKztS4lXKMUs2dt7HO+E7jGKkbI3Rbl2MEa4xyjff9/Oc/L0YoP+xhDyvW0dzB27rNGHH7kpe8pLCK0clx2+UvfelLrS8rRju//OUvH7oNc4yozh244RwjpK+88sqik3ylNzc9ECN9P/e5zxWjguP21nnaZ599ilHNMWL3Qx/6UH54aP4///M/RSdstE/cijtGA+dRwPlF0RkfHfPRuRzHEp228b2+MbI3zGNkd7R/tGvcyjpGZ8ftumOKtokR1tF53DrF++KaIm5bbSqvwFjXhZ6v1ueAHKnatVrtqj21Z87tmLfGQ36u9XHL4ibHRru4ER/ljo/cttqx3O24OttvYMUH5pFaOYrMCRAgQIAAAQIECBCopUB0HpkIEGgvELdHjg73c889t+ggjtHP8f3G453iO4Cjkza+k7nbU/6e4cmsN0ZOxHdEP/nJTx6zg3sy2/He7gvEbdpNBAgQIECAAAECBAgQCIERI4CRECBAgAABAgQIECBAgACBugvE6OMjjzyyLUPc/jo6cWMkcXzfb3w/8KJFi9q+tvXBGPGbp/G+J79+rHk31h3reOYzn1ncUjpuAR7f35y/M3qs7XueAAECBAgQIECAAAECBPpHYGD27NnL4y98Y9hx8zzvYuvjednzDYHs0TrnwycEWuMiL/drfPTrfvW7m/1rnD/ET0Mgx0PrvF99+nW/sp/9K2dcab/+rovjySsjgLOSOQECBMojELd7b/69jvNxf5+Pp7p9cuTm7bTOPd8QaHXJy3z4hECOh9Z5v8ZHv+5X9rN/DYHs0TrnwycEWuMiL68qPlb1+Fjv83w9rhOLW0CvqrFbg8dyQ4BX++QQH+WKD3EsjuOXQ3kSD/WIB+1cj3aW1+U6H091e3Wa9zqAc8uYEyBAoDwCcQvoTut+PkrvL+f1onYrZ7vJu4aA+O0sfrl15ibv5F0IlDV/yrrf8q53eTeYgybmMVlunDx4iIeq50P+y/CqH6fjU9ed14bPa/K+cccTdUFdqFNdmEzeR66YCBAgQKA8AnU6v0WrOF7X+eJAHtS5DkzmOr/ObuqGulHm+Jf3fq8X8TuROjaYg8Z85dtgNxcDPnzEw8ofLuWFvJAX8kIdUAfUgWrWgeIThf8IECBAoFQCrstcl7kuq+Z1mXbVruq7+q4OqAPqgDrQSR0YMQJYEAmiToJI3IgbceMiRB1QB9QBdUAdqFYdKFWPh50lQIAAgULA9ZjrMddj1boe057aU11X19UBdUAdUAcmUwcGZs+e3Rgz7AMTAQIECBAgQIAAAQIEVgis+IzAgQABAgRKJrB06dKS7bHdJUCAAAECBAgQIEBgqgQGY8XRg9w8WeYhHoYFqpoPVT2u3HKOTx3LsRBz8dCIBw7yQl4MC9QlHyZ7nMNifiJAgACBMghMtu57fzmvF7VbOdst1xTtp/1yLMR8vPEw3tfldXu9OMuxMJE4y+8RP/0RP9qhP9qhTHlhBHBuLXMCBAgQIECAAAECBAoBI4AFAgECBMonYARw+drMHhMgQIAAAQIECBCYKoHiO4CbVx73FG+eLPMQD8MCVcuHfGRVOy7Ho27l2I65eBgZD9mGy0gXHjxyblSxbuRjm2ic5/eZEyBAgEA5BCZa572+Wtc/OUq1a7XaVXtqz5zbMW+Nh/xc6+OWxU2OjXZxIz7KHR+5bbVjudtxdbWfEcA5Y8wJECBAgAABAgQIECgEjAAWCAQIECifgBHA5Wsze0yAAAECBAgQIEBgqgSGRgDnHmfzxl8OcOAQSScOxIE4kAfqgDqgDqgDda0DEfsmAgQIECiPQF3PV47b9XpkqTgQB+JAHqgD6oA6oA6oAyPrQDECOFDiC6TzPBIlprzcOm886/lWl7zMpyGQPVrnfPrTR7v0Z7vk/NE+2icEcjy0zjuNj07fl7fv/Q2B7NE658MnBFrjIi/3Kj7Gu10jgLOUOQECBMojECOA83kmz/Pe5+XWuecbAq0uebmsPmXd77K72//G75fFX2/qCvfeuMt7eR/9annK8dA6n6rnp2q9ef+tvyGQPVrnZfApRgA3d/7GQcTUejDNy57n0xwP4mf4jyfKnD/yWl7L65F/DNXsUdX8qOpx5fOS41PXmvM4x0We1zU+xnvc8ToTAQIECJRLoN15L46g3eN1Px9W/fi1u7iX9z7f5zqX5+qCuqAuVK8uyGt5PVZeD6yxxhpFj2/zySACx3KjUy8sYuLBI5IpT1WJh6ocR9XaxfE0BMTn1NRdrlPjKm/lbQj0a351sl9GAOesNidAgEB5BJYsWVLsbCd1v4qfd3PL1cWjLsdZt3Z1vA0B8d3+cyyX9i7yRt6EQFXzo6rHJW+nJm8Hm5MhgsfycHHgIR6qng/5L0SqfpyOT13LF0fqeuPDEQfnN3WxXnWxk/N9xIiJAAECBMon4Lq3vte7nZzvfS7wuSCqnLpR3roh74dvPyyOyxvH6tDE6rC8l/cTuX4bGgFcvo819pgAAQIECBAgQIAAgakQWHPNNaditdZJgAABAlMokEcAT+EmrJoAAQIECBAgQIAAgZIIFCOA877mnmPLDQEejb+EFA/VjAftWs12VbfUrZzbMW+Nh/xc6+OWxU2OjXZxIz7KHR+5bSfajvl95gQIECBQToGJ1n2vr+f5XruXu921X73bL5+dxEG940D716v95X1DQNyPP+6NAM5ZY06AAAECBAgQIECAQCFgBLBAIECAQPkEjAAuX5vZYwIECBAgQIAAAQJTJTA0AjjuHd48WeYhHoYFqpoPVT2u3HKOTx3LsRBz8dCIBw7yQl4MC9QlHyZ7nMNifiJAgACBMghMtu57fzmvF7VbOdst1xTtp/1yLMR8vPEw3tfldXu9OMuxMJE4y+8RP/0RP9qhP9qhLHlhBHBuKXMCBAgQIECAAAECBAoBI4AFAgECBMonYARw+drMHhMgQIAAAQIECBCYKoHB/BcD5o2/HODAIZJNHIgDcSAP1AF1QB1QB+peByIHTAQIECBQHoG6n7ccv+v3yFZxIA7EgTxQB9QBdUAdUAcadaAYARwYzV+cbJmHeBj+Iu2q5kNVjytO8DE5PnVMHVu5jskLeSEvVs6LxlmjuueNTvPeCOAcGeYECBAoj0CMAO607uej9P5yXi9qt3K2m7xrCIjfzuKXW2du8k7ehUBZ86es+y3vepd3xQjg+GVgBE9MOYgs8xAP1c4Hea/uqfP1q/PyXt7Le3k/kTpQfDjwHwECBAiURsDvcxqdAXW83pnI+V2c1DdOophp/+q0v7z3+b6O57u61zF5L+8nmvdDI4DzJ5rmIIrHLA8HFQ/xULV8kPcNgaq1q+NRt/PFQLvzlryX9+3iQt2odt3oJO/nzJmT32ZOgAABAiURyCOA8+46v1f7/N7avtq9IdDqYrleeVC39pb38j4E6hb3dT9eeS/vJ5L3QyOAm98USWR5uHjyEA9VzYeqHlf+i1bHp47li0J1fLiOywt5IS8avwSrU13oJO/jPSYCBAgQKJeAz0HDtwOt4/VORGsdj1vc1zvu697+8l7dU/d9vlcH1IHR6sDArFmzGvfCi0gxESBAgAABAgQIECBQewEjgGsfAgAIECihwOLFi0u413aZAAECBAgQIECAAIGpEBicipVaJwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAisfgEdwKvf3BYJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwJQLFdwA3rzm+O6F5ssxDPAwLVC0f8pFV7bgcj7qVYzvm4mFkPGQbLiNdePDIuVHFupGPbaJxnt9nToAAAQLlEJhonff6al3/5CjVrtVqV+2pPXNux7w1HvJzrY9bFjc5NtrFjfgod3zkttWO5W7H1dV+vgM4Z4w5AQIECBAgQIAAAQKFgO8AFggECBAon4DvAC5fm9ljAgQIECBAgAABAlMlMDQCOPc4mzf+coADh0g6cSAOxIE8UAfUAXVAHahrHYjYNxEgQIBAeQTqer5y3K7XI0vFgTgQB/JAHVAH1AF1QB0YWQcGBwYGioskcw6RHOJAHIgDeaAOqAPqgDqgDqgD8cHZRIAAAQLlEnD+dv52He86Xh1QB9QBdUAdUAfUAXUg14FiBHBeMFccFAfFQR1QB9QBdUAdUAfUAXVg2bJl5er1sLcECBCouUDUbedv52/X8a7j1QF1QB1QB9QBdUAdUAdyHRiYOXNmMSY4B0X+zGS5ESQ8GgLioZrxoF2r2a7qlroVAqvK71U9Lm7EzWhxIz7KHR+d5P0aa6yRpk2blpvenAABAgT6XOChhx5KS5cuLfayk7ofvyTKk/eX83Oiditnu8m7hoD47Sx+uXXmJu/kXQiUNX/Kut/yrjd5N9gc7BE8loeTn4d4qHo+5L8EqfpxOj51LV8cqeuND0ccnN/UxXrVxU7O9/fff3+EiYkAAQIESiKQ67br3vpe73Zyvve5wOeCKHHqRnnrhrxvjPQUx/K4TnVM3sv7iVy/DY0ALslnGrtJgAABAgQIECBAgMBqEIgRwDNmzEiDg4PFv9WwSZsgQIAAgQkIxG2f498DDzyQYgSwiQABAgQIECBAgAABAllgev7BnAABAgQIECBAgAABAlkgOhN0KGQNcwIECBAgQIAAAQIECBAgQIBAeQSKW0CXZ3ftKQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAisSmAw7hkekzkHcSAP1AF1QB1QB9QBdUAdUAfUAXVAHVAH1AF1QB1QB9QBdUAdUAfUAXVAHVAH1IFy1wHfARxVzESAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEKCBgBbAR0Ecb+kqPcf8mh/bRfJLI4EAfiQB6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDgzMmDGjyISBgYGi86B1HkESU+vjebnxrOezR+ucT0Og1SUv8+mtT26H1rl26W278OcfAq15mZcnGx95Pa3zya7X+xsCra55mQ+fEMjx0Dqf6vho3V5enurtWn9DIHu3zvnwCYHWuMjLk42PvJ7W+WTX6/0NgVbXvMyHTwjkeGidT3V8tG4vL0/1dq2/IZC9W+d8+IRAa1zk5cnGR15P63yy6/X+hkCra17mwycEcjy0zqc6Plq3l5enervW3xDI3q3zfvUZjB1r3dnmZc/zaY6H+Muh5mXxUe74aG3PvKxdy92u2k/7NdfpnNdjzcWNuBktbsRHueNjVfmvXcvdrtpP+41Wt+X9yM+t2UPeyJvR8qbs8ZHjvHVe9uOy//K2ynk72fhuzfe8PNn1er+8k3ftB0uGS6/zI+d567zX+2X7/Vk3hkYAF5HrPwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAorUAxAjjvff4LBssNAR6Nv2gRD9WMB+1azXZVt9StnNsxb42H/Fzr45bFTY6NdnEjPsodH7lttWO521H7ab+cy+Op0/m14kbc5FgYT9yIl3LHS25r7VjudtR+2i/n8njqdn6tuBE3ORbGEzfipdzxkttaO5a7HVdn+xkBnLPGnAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAiUXGDECuOTHYvcJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQawEdwLVufgdPgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECVBAaXL19eHI85hwgEcSAOxIE8UAfUAXVAHVAH1AF1QB1QB9QBdUAdUAfUAXVAHVAH1AF1QB1QB9QBdaC8daD4DuBI4uYvHrbMQzwMf5F4VfOhqscVJ6SYHJ86po6tXMfkhbyQFyvnReOsUd3zhryX9/Je3qsD6oA6UP06IM/luTyvfp63fm6R9/Je3st7dUAdGKsOFCOA40URLDHloLHMQzxUOx/kvbqnztevzst7eS/v5b06oA6oA9WvA/Jcnsvz6ud56+9r5L28l/fyXh1QB9SB6tcBeS7PJ5rngzlozBvBw4FDJJE4EAfiQB6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6kAZ68CIEcCCWBCXMYjFrbgVty7C1AF1QB1QB9QBdUAdUAfUAXVAHVAH1AF1QB1QB9QBdUAdUAfUAXVAHWjUgYHp06c3xsbH/WNMBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBagcHY8/iLiObJMg/xMCxQ1Xyo6nHllnN86liOhZiLh0Y8cJAX8mJYoC75UJfjzC3reNW5HAsxr2s81PW4c9s7fnUgx0Kd6oC4F/d1jPt8zHWN/7oed93b3fE3BOoa/3U9bnHfedwbAZyjx5wAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIlFyi+A7j5GOLe2M2TZR7iYVigavmQj6xqx+V41K0c2zEXDyPjIdtwGenCg0fOjSrWjXxs4lyc51ioYpyL75Hxnduay0gXHjxyblSxDuZjE+fiPMdCFeNcfI+M79zWXEa68OCRc6OKdTAfmzgX5zkWRotzI4CblfxMgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBEgsMjQDOfzFg3vjLAQ4cIq/FgTgQB/JAHVAH1AF1QB1QB9QBdUAdUAfUAXVAHVAH1AF1QB1QB9QBdUAdUAfKVAeKEcARtPEF0nkeBxBTXm6dN571fKtLXubTEMgerXM+/emjXfqzXXL+aB/tEwI5HlrnncZHp+/L2/f+hkD2aJ3z4RMCrXGRl3sVH73abq+P2/Ybn/e0f0Mgx0PrvKo+VT2u3H6Or55xrf1Hr+vyQl6EQM6T1rn4qGZ8aNdqtmvOX+2rfUMgx0Oeiwtx0S4umuOjGAHc3PkbT472Js/zER8rF9ucVGXOD+1azXbN9V37at/mOiUuGn/0Ji/kRbu8qHp+iHtxX8e4r3pej3V88l7ey/uRgx6aPaqaH1U9rrHqned9zon8rmv81/W45b28l/f1u86R9+PP+4Fp06YVZ8ZmtDhhWB5G5CEeqpoPVT2uyNmYHJ86li8CxcNwPsgLeSEvGr8UqlNdkPfyXt7Le3VAHVAHql8H5Lk8l+fVz/P4DBNTzvc8bzw6/LjlhgAfdbGKdVFci+uJxPVglMMcNDG3zEM8NIpIHfIhikUdjlNdU9fUteG6Ju/VPXW/fte78l7ey3t5rw6oA+pA9euAPJfn8rz6ed76+y15L+/lvbxXB9SB0erA0AjgoufXfwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQWoFiBHDe+9xTbLkhwKPxFzTioZrxoF2r2a7qlrqVczvmrfGQn2t93LK4ybHRLm7ER7njI7etdix3O2o/7ZdzeTx1Or9W3IibHAvjiRvxUu54yW2tHcvdjtpP++VcHk/dzq8VN+Imx8J44ka8lDtecltrx3K34+psPyOAc9aYEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoOQCQyOA417hzZNlHuJhWKCq+VDV48ot5/jUsRwLMRcPjXjgIC/kxbBAXfKhLseZW9bxqnM5FmJe13io63Hntnf86kCOhTrVAXEv7usY9/mY6xr/dT3uure7428I1DX+63rc4r6zuDcCOEeOOQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBEouMJj/YsC88ZeCHDhETosDcSAO5IE6oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDpSxDhQjgCN4m7942DIP8TD8ReJVzYeqHlcU4pgcnzqmjq1cx+SFvJAXK+dF46xR3fOGvJf38l7eqwPqgDpQ/Togz+W5PK9+nrd+bpH38l7ey3t1QB0Yqw4UI4DjRREsMeWgscxDPFQ7H+S9uqfO16/Oy3t5L+/lvTqgDqgD1a8D8lyey/Pq53nr72vkvbyX9/JeHVAH1IHq1wF5Ls8nmudDI4Dj4rHd1BxUnl9ZgM9w0q2sk4qR5TkoPb+yQK/jZ+U9ajzS6/2yfXmlbjQuWtvl6GTzo90647HJrtf75a28nbq8nWx+yfv2ApN19X51r5/rXvuod76Xt/K2n/N2svEp79sLTNbV+9WNfq4b7aPe+V7eytt+ztvJxqe8by8wWdeqvn9oBHCwxUG2ziNZ2j2eX+d5PuJj5bwpS37k/Wydy2t5La/Lm9dj5W9rvuflsd7neXVBXShvXch53jqX1/JaXpc3r8fK39Z8z8tjvc/z6oK6UN66kPO8dS6v5bW8Lm9ej5W/rfmel8d6n+fVBXWhvHUh53nrXF7L63Z5PTA4OLjq4QoRRSYCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKIXAYCn20k4SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwJgCOoDHJPICAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlEOg+A7g5l2Ne4U3T5Z5iIdhgarlQz6yqh2X41G3cmzHXDyMjIdsw2WkCw8eOTeqWDfysYlzcZ5joYpxLr5Hxnduay4jXXjwyLlRxTqYj02ci/McC1WMc/E9Mr5zW3MZ6cKDR86NKtbBfGziXJznWBgtztt+B3AET/7C4OaV5J89z0d8NL4oPudE87ys+VHW/c729l9dUpcmXpfkjbyRNxPPm7Kfd+S9vJf38j7XsTxXF9QFdaF6dUFey2t5Xb28Huu8Le/lvbyX97lO5Lm6oC4MjQCOYIgpB0Xzcn48z6OYeH7YK7vkOR/xUcb8ELfitoxxq+5O7rwt7+W9vK/f9Zy8l/fyXt7n66c8VxfUBXWhenVBXstreV29vB7rvC3v5b28l/e5TuS5uqAuDOYgMG8EAwcOcbIUB+JAHMgDdUAdUAfUAXVAHVAH1AF1QB1QB9QBdUAdUAfUAXVAHVAH1AF1QB0oYx0oRgALXsFbxuAVt+JW3Lr4UgfUAXVAHVAH1AF1QB1QB9QBdUAdUAfUAXVAHVAH1AF1QB1QB9QBdWBkHViREwONsfExLrxpysnS9NCIHz3fSKYRKE0LfPhEsVnV1K/x0a/7lR3tn7wqY171e/zKK3klr8p3vp5sXZH38l7ey/tcR/JcXVAX1IXq1QV5La/ldfXyeqzztryX9/Je3uc6kefqQr3rwmAEQgRB6zyKRbvH8+s8z0d8rJw3Zc8PeS2v5XX18nqsuiTv5b28l/e5TuS5uqAuqAvVqwvyWl7L6+rl9VjnbXkv7+W9vM91Is/VBXVBXaheXZDX8nq0vF7xXPsRwHFiMBEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAeQSKEcDl2V17SoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKrEtABvCoZjxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBkAoNxj/CYzDmIA3mgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDpS7DvgO4KhiJgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRAwAhgI6CLMPaXHOX+Sw7tp/0ikcWBOBAH8kAdUAfUAXVAHVAH1AF1QB1QB9QBdUAdUAfUAXVAHVAH1AF1oIiBFf8tXzEUODJipXk81u7x/HrP8xEfK+dNWfIj72frXF7La3ld3rweK39b8z0vj/U+z6sL6kJ560LO89a5vJbX8rq8eT1W/rbme14e632eVxfUhfLWhZznrXN5La/ldXnzeqz8bc33vDzW+zyvLqgL5a0LOc9b5/JaXrfL6xWPrTrYW4PIcvtOci5c5JE6og6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6oA60A91YCACccU/EwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUXGCwef9X9Eg3LybLPJoDQjxUKx5y22rXarWr9tSeObdj3hoP+bnWxy2Lmxwb7eJGfJQ7PnLbasdyt6P20345l8dTp/NrxY24ybEwnrgRL+WOl9zW2rHc7aj9tF/O5fHU7fxacSNuciyMJ27ES7njJbe1dix3O67O9gspI4Bz5pgTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgxALTN9hggxLvvl0nQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgSww4hbQ+UFzAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECifgA7g8rWZPSZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBbAR3AbVk8SIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfIJ6AAuX5vZYwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLQV0AHclsWDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKJ+ADuDytZk9JkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQFsBHcBtWTxIgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB8gnoAC5fm9ljAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQItBXQAdyWxYMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAon4AO4PK1mT0mQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAWwEdwG1ZPEiAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHyCegALl+b2WMCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0FdAB3JbFgwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECifgA7g8rWZPSZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBbAR3AbVk8SIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfIJ6AAuX5vZYwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLQV0AHclsWDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKJ+ADuDytZk9JkCAAAECBAgQIEBgEgKbb755Ouyww9K73/3utPfee6eXv/zlQ2vbdttt05Zbbjm03PpDfn7PPfdsfapYnj17dnrSk57U9rmxHoz37rTTTqO+7GEPe1jabLPNVvmaQw89tHhuxowZ6cUvfvEqX7eqJ2Ldb3rTm9ILX/jC9LjHPa542XOe85who+c+97mFXTy/7rrrphe84AXpqKOOSgcffHB67GMfm17zmtek5z3veWmbbbZJr3jFK4r3b7LJJunpT3/6Suta1T60Pp6PKR7P7vHYtGnTWl86tLzxxhun17/+9elFL3pReslLXpLWWGONoefG+iHs4n3tpg984APFMT/hCU8YejrHxNADE/jhEY94RHrb295WeIdZ8xT7PWfOnI7jqXld2bA19ptfM5mfn/a0p6V99tmnWMWBBx5YGO2///7jWuVk/Npt4GUve1m7hz1GgAABAgQIECBAgACBWglMr9XROlgCBAgQIECAAAECBGovcOONN6ZTTz01RSfeeeedl3bZZZei03JwcDBdc801aebMmenZz352+utf/5pOO+20ohPula98ZbG8YMGCouPxGc94RtEBetddd6VHPvKRadmyZenEE09MDz74YNFBGx2ls2bNShdddFG6/vrrU3TA3XPPPWnevHnp//7v/4rtxfpjm8uXLy/a5M4770z77rtvivlTnvKUYp1XXnllig7J6By87rrr0g477JCmT5+efvrTn6bodIvt/vznP08HHHBAin1Ze+21h9o3OrKjg3bp0qXF6373u98V77/iiivS7bffXnQ8nnPOOUP7H9vaeeed03HHHVe8J68oOiFjn9ZZZ53iobCLjuI47pNOOimtueaa6Yc//GF63etel772ta/ltxX7F9tfa6210s0331w83ryuu+++O0WHZHQwh9UXv/jF9Na3vjXddtttKfYlthGdvNHpHVO8JrvHchzzdtttl/7f//t/xeNhEbbx/uh8PP7449Nee+2VHv7whxfr2nXXXdO9996bFi1alP72t7+lJz7xibGa9Jvf/KboWI62COfPfOYzxePR2dzctg899FC64YYbimOOeNhqq63SkiVLimO7//7707/8y7+kb33rW4V57Et0kP/hD39I8Vxuvx133DEde+yxRed87HdMl1xySbrwwguLGGnex3guthkOe+yxxyrXEc+P17A59iPWX/WqVxWxEW7RqR8xucEGGxSxNHfu3BRtFPH3xz/+sdiHaJeLL744RQd79rv00ksL5wsuuCB2uciXa6+9NkW8xeuizXLb5G1suummhcNLX/rSdNVVVxXPP/rRjy7i9/LLLy/+mCDeE9uL5dY4iU7z2NeI7X/84x9pt912K9oijimmZz7zmcX2I18i3m+55Zbicf8RIECAAAECBAgQIECgLgJGANelpR0nAQIECBAgQIAAAQJtBaJj9uSTT04xAjem++67L0VH2fz584vl6ORrXn7ggQeKDsQzzzyz6DiMDr7o5IwOszz95S9/KTpGo3M0T/H66Ljdfffdi46r008/vdhGdDJHx3B0sl199dVFR2esK3ccRsfY9773vaKjMl7zy1/+suiMi87m+BcjdaPj60c/+lHRkZa3F51e0UEbHXqx7ehUju3kzrA4pugMbd5Wfm+eR+d4dCqvt956xWjpeDw612I9l112WX5Z2/nixYuL7cdxxtRuXdH5HZ3DsY3oaIx9+v73v190esZj8XPsY0zRLtFxG8cSU8yjIztGHmeLrbfeunhuYGCgmJ999tlFp210At96662Ff3TqxnvCMTqzYxR4bCtiIDq68xQdwK1tG53R0dl6/vnnFy+LtovXRGdldEY+/vGPL9opthXrik745vaL9+23337FfueO/+jcfepTn1p0VDbvY96PmI+2jokYNq+z1S32P7dV/FFBdIhHTOV2ic7z6NSOqdkvOtmjM/aMM84onouYizaLPwhY1TaiYzyei/bLU+Rb/BFFdHq3xmTrMTbHdrw/Ooq/+93vpkc96lHF6trFe96OOQECBAgQIECAAAECBOogoAO4Dq3sGAkQIECAAAECBAgQWKVAdN7FlDvkYpRqjAKOeUzrr7/+iOV4LDquYrRujIaMEbnRadXcmRUdpNFhGfM8RcdfjCyOEZPRYRlTdJTFKNnoLIyO6OgwjI7TeDw64BYuXFh0CsftgKOjMDoIn/zkJxejRuP52HaMkIyRsAcddFDxnry9DTfcMB1yyCHFaM7opIwpRmXmKfY5Ric3b+uss85Khx9+ePG+GFUZI1ZjVO+3v/3tYjRnvDc6TX/xi1+k6AhvnmI/3vCGNxTv3WKLLZqfKn5ut67YxxhlGqOXY8ptET9Hx3vsf7Nhds+vjTaLUdbZ4qabboqnUhxHdEDGrZxjFGh0GMY+hfWf//zn4j0xMjXWH6PAwzw6tqMjOE/t2jZGAJ9yyikpOvhjyu0YP8d+RGdydFJHR3RsJ/YvOvVz+0UHfnQsx8jrPMUI4DCNkarN+5ifj/lo65ioYV5vq1vzsUQ7RHzkKbYRz8cfAsQU7232Kx78//+LW4BHW0e7rmobccxx2/A8ajjeGnEYI4Rj280xGc+1HmMs59iO57fffvtiBHU4xdQc75Gnkc8mAgQIECBAgAABAgQI1ElgYMVfgzfuN1ano3asBAgQIECAAAECBAgQWI0CcQvoGMXb3Km2GjdfbOrVr351cdvd1b3dMmwvOmXjls4xkjtugT1VU9xGO0b7xmjjTqdurKPTbffD+2JEcnQy51tox22zo9M4/gCheRLvzRp+JkCAAAECBAgQIECgbgI6gOvW4o6XAAECBAgQIECAAAECBCYsELd+fv7znz/h903lG2LEddy6ebxT3AY8vve3TNNrXvOaESOty7Tv9pUAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXwHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvRLQAdwredslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlwV0AHcZ1OoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKwEdwL2St10CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0WUAHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvRLQAdwredslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlwV0AHcZ1OoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKwEdwL2St10CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0WUAHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvRLQAdwredslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlwV0AHcZ1OoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKwEdwL2St10CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0WUAHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvRLQAdwredslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlwV0AHcZ1OoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKwEdwL2St10CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0WUAHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvRLQAdwredslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlwV0AHcZ1OoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKwEdwL2St10CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0WUAHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvRLQAdwredslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlwV0AHcZ1OoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKwEdwL2St10CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0WUAHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvRLQAdwredslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlwV0AHcZ1OoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKwEdwL2St10CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0WUAHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvRLQAdwredslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlwV0AHcZ1OoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKwEdwL2St10CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0WUAHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvRLQAdwredslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlwV0AHcZ1OoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKwEdwL2St10CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0WUAHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvRLQAdwredslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlwV0AHcZ1OoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKwEdwL2St10CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0WUAHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECvRLQAdwredslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlwV0AHcZ1OoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKwEdwL2St10CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0WUAHcJdBrY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9EtAB3Ct52yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECXBXQAdxnU6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINArAR3AvZK3XQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRZQAdwl0GtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0S0AHcK3nbJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJcFdAB3GdTqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CsBHcC9krddAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdFlAB3CXQa3u/2vPjmkAAAAQhvl3jQmSPTUASd8RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKQACu5P0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEDgLCAAn0HNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBIQgCt5vwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEDgLCMBnUHMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoBATgSt4vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzgIC8BnUHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoBAbiS90uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGzgAB8BjVHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSkAAruT9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4CwgAJ9BzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKASEIAreb8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4CwjAZ1BzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAQE4EreLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBM4CAvAZ1BwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqAQG4kvdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBs4AAfAY1R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUpAAK7k/RIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAsIACfQc0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEhCAK3m/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQOAsIwGdQcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgEBOBK3i8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTOAgLwGdQcAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgEBuJL3S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbOAAHwGNUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFKYMEzrcXY0SieAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Enter Spotify Password\n",
        "try:\n",
        "    password_field = driver.find_element(By.CSS_SELECTOR, \"#login-password\")\n",
        "    password_field.clear()  # Clears any pre-filled text\n",
        "    password_field.send_keys(SPOTIFY_PASSWORD)\n",
        "    time.sleep(3)  # Wait\n",
        "except:\n",
        "    print(\"Password field not found. Click Continue.\")\n",
        "    login_button = driver.find_element(By.CSS_SELECTOR, \"#login-button\")\n",
        "    login_button.click()\n",
        "    time.sleep(3)  # Wait for redirect\n",
        "    try:\n",
        "      alt_button = driver.find_element(By.XPATH, '//*[@id=\"encore-web-main-content\"]/div[2]/div/div/div/form/div[2]/section/button')  # Your provided XPath\n",
        "      alt_button.click()\n",
        "      print(\"✅ Clicked 'Login with password'\")\n",
        "      time.sleep(2)  # Wait\n",
        "      password_field = driver.find_element(By.CSS_SELECTOR, \"#login-password\")\n",
        "      password_field.clear()  # Clears any pre-filled text\n",
        "      password_field.send_keys(SPOTIFY_PASSWORD)\n",
        "      time.sleep(3)  # Wait\n",
        "    except:\n",
        "      print(\"Unexpected login error\")\n",
        "\n",
        "\n",
        "# Take a screenshot to verify navigation\n",
        "driver.save_screenshot(\"1.3_spotify_login.png\")\n",
        "display(Image.open(\"1.3_spotify_login.png\"))"
      ],
      "metadata": {
        "id": "rSLWdu1cdrq0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 645
        },
        "outputId": "241f624b-bdd3-4a25-8354-66c7ab61d705"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Password field not found. Click Continue.\n",
            "Unexpected login error\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=1920x888>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Click Login Button\n",
        "login_button = driver.find_element(By.CSS_SELECTOR, \"#login-button\")\n",
        "login_button.click()\n",
        "time.sleep(10)  # Wait for redirect to Google login\n",
        "print(\"✅ Logged into Spotify successfully\")\n",
        "\n",
        "# Take a screenshot to verify navigation\n",
        "driver.save_screenshot(\"2_spotify_dashboard.png\")\n",
        "\n",
        "# Display screenshot in Colab\n",
        "from IPython.display import display\n",
        "from PIL import Image\n",
        "\n",
        "display(Image.open(\"2_spotify_dashboard.png\"))\n",
        "print(\"\")"
      ],
      "metadata": {
        "id": "VfwYRStR0JDP",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 645
        },
        "outputId": "167e98ef-3c78-48da-d859-8bd3cd942109"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "✅ Logged into Spotify successfully\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=1920x888>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAN4CAYAAAAiLPWhAAEAAElEQVR4AezdB5wkVbU44DuziU2kJQdJIqCAEnyiAgpPERQEUURRMSOGp5h9hqcI5ogoJoIBn39BTCBZQAVUEAVBMAACkpe0CxvY+J9T/e5MT9O7k3e6qr7ix9ZUd3V11XfPOVU9d2511xOf+MTlyUSAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECpRfoLv0ROAACBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKAR6O4CXL1/5QGDP81lZzoiPcsaHditnu+Vc1H7aL8dCu/mK4mNFj+dteF5c5VhoNxcf5YwP7VbOdss5qP20X46FdvMVxceKHs/b8Ly4yrHQbi4+yhkf2q2c7ZZzUPtpvxwL7eYrio8VPZ634XlxlWOh3Vx8lDM+tFs52y3n4Kpuvy63gM705gQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECi3QHfucTZv/OUABw6R0uJAHIgDeaAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA2WsA8UI4Ajerq6u2P9issxDPFQ/H+S5PJfn1c/z1vO6vJf38l7eqwPqgDpQ/Togz+W5PK9+nrvOl+fyvH55Lu/lvbyX967z1YGh1oFiBHC8KIInphxElnmIh2rng7xX99T5+tV5eS/v5b28VwfUAXWg+nVAnstzeV79PG/9fY28l/fyXt6rA+qAOlD9OiDP5flQ87x3BHBcPMbUHESWeYiHvqJSxXyIY4pJO1e7nbWv9s0XB42Mb/wrLsRFc1yIh2rHQ8597Vztdta+2re5rst71zshoC7Uqy7Ie3kv7+tX9+S9vJf38l4dUAdWVgd6RwA3rxQfEiz3FQ8e4qGq+VDV44pffslbeSu+25/HuLR3UTfUzSqfN+S9vI/4VufqVefkvbyX9/Wre/Je3st7ea8OqAPqQPXrgDyX50PJ867tttuuMTY+IsdEgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAqUV6C7tnttxAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOgnoAO4H4cFAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlFeg+A7g5t2P74ZqnizzEA99AlXLh3xkVTsux6Nu5diOuXjoHw/Zhkt/Fx48cm5UsW7kYxPn4jzHQhXjXHz3j+/c1lz6u/DgkXOjinUwH5s4F+c5FqoY5+K7f3zntubS34UHj5wbVayD+djEuTjPsbCyOPcdwM1KfiZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECJBXpHAOe/GDBv/OUABw6R1+JAHIgDeaAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA2WqA91dXV1FJ5c5hyhe4kAciAN5oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6kB568BEjVfexlN8FV/5K3/VAXVAHVAH1AF1YKzqwMKFC9O8efPSkiVL4g9cTQQIECDQgQITJ05M06dPT6uttpo/7vdH7f6o3yAXdUAdUAfUAXVAHVAH1IHeOtC17bbbFmO28y8P8+cZy41fJvJoCIiHasaDdq1mu6pb6lYIrCi/V/S4uBE3K4sb8VHu+BhO3i9YsCDNnTs3N705AQIECHS4wOqrr150AsduDqfuxx8T5cnry/k5UbuVs93kXUNA/A4vfrkNz03eybsQKGv+lHW/5d345F13c7BH8FjuS34e4qHq+ZBHDFX9OB2fupYvjtT1xocjDs5v6mK96uJwzvfRAWwiQIAAgfII5Lrture+17vDOd/7XOBzQVQ5daO8dUPeN+4IJo7lcZ3qmLyX90O5fusdAVyejzX2lAABAgQIECBAgACBsRS49957x3Lztk2AAAECYyCw3nrrjcFWbZIAAQIECBAgQIAAgTIKFCOA847nnuO83Dr3fOMvA1td8jIfPjkW2s07NT46db+yof2TVzkW2s3Fx/Dig9vw3HIM8uOXY6HdvFPjY6T71e5YPUaAAAECnSsw0rrv9eW83tFu5Wy3XEm0n/bLsdBuvqL4WNHjeRueF1c5FtrNxUc540O7lbPdcg6uyvYzAjirmxMgQIAAAQIECBAgUAgYASwQCBAgUD4BI4DL12b2mAABAgQIECBAgMBYCXTHPcNjMucgDuSBOqAOqAPqgDqgDqgD6kCuAxELJgIECBAoj0Cu3+au5yJqxYE4EAfyQB1QB9QBdUAdqHcdMAI4qqCJAAECBAgQIECAAIFeASOAeyn8QIAAgdIIGAFcmqayowQIECBAgAABAgTGXMAIYCOgiyDzlyD1/ksQ7a/9oxCIA3EgDuSBOqAONNeB+NlEgAABAuURcB53Ho9oFQfiQBzIA3VAHVAH1AF1QB2IOtAdXzgcwWDOQRzIA3VAHVAH1AF1QB1QB9SBqAMmAgQIECifgOs413Gu41zHqQPqgDqgDqgD6oA6oA7kOlCMAM4L5oqD4qA4qAPqgDqgDqgD6oA6oA6Ur9vDHhMgQICA87fzt+t41/HqgDqgDqgD6oA6oA6oA7kOdG2zzTaNsdA+KxEgQIAAAQIECBAgQKBHYPbs2RwIECBAoGQC6667bsn22O4SIECAAAECBAgQIDBWAt3NG46/DGieLPMQD30CVcuHfGRVOy7Ho27l2I65eOgfD9mGS38XHjxyblSxbuRjG2qc59eZEyBAgEA5BYZa961f7uuhHKXasdztqP20X87lmA8UD3ndgdbzvLjKsTKYuBIvnR0vuS21U2e3Uye1jxHAOWvMCRAgQIAAAQIECBAoBIwAFggECBAon4ARwOVrM3tMgAABAgQIECBAYKwE+o0AHqs3sV0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQGHsBHcBjb+wdCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgsEoEupcvX168Ues8v3vr43nZ8w2B7NE658MnBFrjIi93anx06n51upv9a5xHxE9DIMdD67xTfTp1v7Kf/StnXGm/zq6Lg82rvJ45gTILbL/99ul//ud/0nnnnZduueWWdP/996fLL788ff3rX0/Pfe5zy3xo9p3AYwTy+bd1nldsfTwve74hkD1a52X1Ket+Z3/7X8241L5j+zlB3sibEMh51joXH9WMD+1azXbN+TvS9i2+Azg21vzFxJZ5iIe+LxKvaj5U9biai6I4rn4ca+++i5zBxLu8d34fTJzIq6HlVad7DTfvfQdwblnzsgo87nGPS5/5zGfSPvvss9JDiI7ht73tbemBBx5Y6XqeJFAGgfgO4OHW/Xx8Xl/O60XtVs52k3cNAfE7vPjlNjw3eSfvQqCs+VPW/ZZ345d3xQjg+GVgBE9MOYgs8xAP1c4Hea/uqfP1q/PyXt7Le3k/lDpQfDjwD4ESCuyxxx7pN7/5zYCdv3Foz3ve89Kvf/3rtMMOO5TwSO0ygf4Cfp/T6Ayo4/XOUM7v4qS+cRIVQ/tXp/3lvc/3dTzf1b2OyXt5P9S8785BY94IHg4cmi+GxYN4EA99H47kg3yQD/JBHahPHejfpWCJQHkEtt122/SDH/wgzZw5c9A7vdFGG6UzzjgjbbrppoN+jRUJdKKA83R9ztOuy12Xy3f5rg6oA+qAOqAOqAMD1YF+I4AHWtnzioqioqioA+qAOqAOqAPqgDpQ/TrQiR0b9onAYAS+8Y1vpOnTpw9m1X7rzJo1K33xi1/s95gFAmUTcH6u/vnZdbjrcHkuz9UBdUAdUAfUAXVgsHWg6wlPeELjXnhl+2RjfwkQIECAAAECBAgQGBOB++67b0y2a6MExlIgvu/3hz/8YXrkkUfSEUcckW6//fb04IMPFv/H+8ZI34033jjttttuKW4T/YxnPOMxuxPbuOqqqx7zuAcIlEFgnXXWKcNu2kcCBAgQIECAAAECBFaBQHe8R/zFQPNkmYd46BOoaj5U9bhyyzk+dSzHQszFQyMeOMgLedEnUJd8GOlx9on5iUDnCxx00EHFTi5btiz9+c9/TrfddluaNGlS2m677VLPHz6nuXPnFt8N/NnPfjYdcMABxS2fjzzyyHTxxRf3HtxLX/rS3p/9QKCMAiOt+15fzutF7VbOdss1RvtpvxwLMR9sPAx2vbxt64uzHAtDibP8GvHTGfGjHTqjHcqUF0YA59YyJ0CAAAECBAgQIECgEDACWCCUUeCKK65IW2211Up3ff78+en6669P11xzTTr33HPTRRddVKx/yCGHpLh99LXXXpue/exnr3QbniTQqQJGAHdqy9gvAgQIECBAgAABAqteoPgO4Oa3jXtHN0+WeYiHPoGq5UM+sqodl+NRt3Jsx1w89I+HbMOlvwsPHjk3qlg38rENNc7z68wJlEVggw026N3VK6+8Mr373e8uRvpus802aZNNNilu+/zmN7+5GAUcI4JPP/309Je//CW94x3vSLvuumvx2i233LJ3G34gUDaBodZ561fr+ifHq3atVrtqT+2ZczvmrfGQn2t93LK4ybHRLm7ER7njI7etdix3O66q9jMCOGeMOQECBAgQIECAAAEChYARwAKhjAK33HJLmjlzZrHr3/rWt4oRvtEpHKMi47bQN910U7rhhhvSv//972KdHXbYIX3oQx9Kz33uc3sPN74/eLPNNutd9gOBMgkYAVym1rKvBAgQIECAAAECBMZWoHcEcO5xNm/85QAHDpF64kAciAN5oA6oA+qAOlDXOhCxbyJQJoE777yzd3ePOOKI9JOf/CSdcMIJ6eMf/3g69thj0w9/+MN09dVXp3/84x/F7Z433njj9LKXvSydf/75va+7+eabe3/2A4GyCdT1fOW4Xa9HrooDcSAO5IE6oA6oA+qAOtC/DvQbARw4zV8kbZmHeOj7YvGq5UOcEGOq2nE5HnVL3Vpx3WpkvbxXJ9SJOtWJ4ea9EcBZzrxMAscdd1x65StfWezy3Llz06GHHprie4Gbpyc+8Ylpt912S4cddljaaaed0uzZs9O6667bu8o3v/nN9MEPfrB32Q8EyiTQPALY9U69rndynGr3erW79q53e8v7hoA8qHce1K395b28D4GhxH2/EcDxy7B4cfNGLPMQD31JVaV80K7VbFd13HlsZXVK3sv7iA91ol51Yrh5H68zESibwDnnnNO7y6uvvnr66Ec/WnQA33rrren+++8v/v/85z+f1lprrXTwwQenQw45JE2ePLn3NfHDT3/6037LFgiUSWBl14HO/9U+/0ecus5znSvPq53nre0r79U9db9+dV/ey/uh5n3X1ltvXfRwNp9EIpAs91008BAPVc2Hqh5X5GxMjk8dy78EEw99+SAv5IW8aPxxX53qwnDy3gjgiBBTGQV+/etfp+23337AXX/wwQfTD37wg/SKV7yi6BCOF5x22mnpzW9+84CvtQKBThWYNWtWsWvDqfuuD8p/faDdXefL4/LncT6/DDafB7veULdr/YYAX3W1E+uquBSXQ4nL7ihnOWhibpmHeGgUkTrkQxSLOhynuqauqWt9dU3eq3vqfv2ud4eT98WHAv8QKKHAW9/61rRgwYIB9zxGAb/tbW/r7fyN7w9+73vfO+DrrECg0wVc9/Zd90Zb1cljOOd714X1uy6sW15U/Xjlvc/36nj96ri8l/dDyfveEcBxQjQRIECAAAECBAgQIEAgbpdrIlBWgWc+85np1FNPTXEb6MFMEe9xO+hrrrlmMKtbh0DHCuQRwB27g3aMAAECBAgQIECAAIFVJlCMAM7vlnuOLTcEeDT+gkY8VDMetGs121XdUrdybse8NR7yc62PWxY3OTbaxY34KHd85LYdajvm15kTKKPAZZddlvbYY4/0u9/9bsDd/8UvfpH23HNPnb8DSlmhbAJDrfvWr+f5XruXu921X73bL5+XxEG940D716v95X1DQNwPPu6NAM5ZY06AAAECBAgQIECAQCFgBLBAqIrAAQcckA466KD0pCc9KW299dbp4YcfTtdff3269NJL0xlnnJH+/ve/V+VQHQeBZASwICBAgAABAgQIECBAIAv0dgA33zs8P9k893zfvcWbXfLPfPi0/uVJjo2Yd2p8dOp+ZTv7J6/KmFedHr/ySl7Jq/5/KZlzNuZVzY/hHJcO4ObI8DMBAgTKIZA7gIdT95uP0OvLeb2o3crZbjn3tJ/2G87nNHEjboYTN+pOQ6Cs+VPW/RZ34xN3vR3AuQHMCRAgQIAAAQIECBCot4AO4Hq3v6MnQKCcArkDuJx7b68JECBAgAABAgQIEBhNge74i4GYzDmIA3mgDqgD6oA6oA6oA+qAOpDrQMSCiQABAgTKI5Drt7nruYhacSAOxIE8UAfUAXVAHVAH6l0HihHAEQTNtwuwzEM89N0esqr5UNXjigubmByfOqaOPbaOyQt5IS8emxeNs0Z1zxvDzXsjgHNkmBMgQKA8AjECeLh1Px+l15fzelG7lbPd5F1DQPwOL365Dc9N3sm7EChr/pR1v+Xd+OVdMQI4fhkYwRNTDiLLPMRDtfNB3qt76nz96ry8l/fyXt4PpQ4UHw78Q4AAAQKlEfD7nEZnQB2vd4Zyfhcn9Y2TKGbavzrtL+99vq/j+a7udUzey/uh5n3vCOD8iaY5iOIxy31BxUM8VC0f5H1DoGrt6njU7Xwx0O68Je/lfbu4UDeqXTeGk/cPPPBAfpk5AQIECJREII8Azrvr/F7t83tr+2r3hkCri+V65UHd2lvey/sQqFvc1/145b28H0re944Abn5RJJHlvuLJQzxUNR+qelz5L1odnzqWLwrV8b46Li/khbxo/BKsTnVhOHkfrzERIECAQLkEfA7qux1oHa93IlrreNzivt5xX/f2l/fqnrrv8706oA6srA50Pf7xj2/cCy8ixUSAAAECBAgQIECAQO0FjACufQgAIECghAJrr712CffaLhMgQIAAAQIECBAgMBYC3WOxUdskQIAAAQIECBAgQIAAgfIIfOpTn0r3339/+tOf/rRKd/qtb31ruuWWW9Kpp546ovddc801R/T6ePF+++2XTj755PT73/8+3XXXXemaa65JP//5z9PLX/7yEW97ZRto3fcTTzyxMHnPe97T+7IDDjig2K9777033XrrrekJT3hC73N+IECAAAECBAgQIECAAAECrQI6gFtFLBMgQIAAAQIECBAgQIDAKhF48pOfnGbOnJn+4z/+Y9jvt8cee6Qf/ehHw359vPAjH/lI0Ql94IEHpq233jpNnjw5bbLJJmn33XdP0Tk+VlO7fd9ll10Kk5133rl429VWWy0df/zxxX4tXLgw/eMf/0jbbLPNWO2S7RIgQIAAAQIECBAgQIBABQSK7wBuPo747oTmyTIP8dAnULV8yEdWteNyPOpWju2Yi4f+8ZBtuPR34cEj50YV60Y+tqHGeX6dOYGxFHjnO9+ZPvzhD6d99913WG/zxje+MZ1++ulp3XXXHdbr40VTpkxJMRI5puuvvz4dcsghqeerktLhhx+evvvd76ZFixYVz432Pyva9xe+8IWFyZve9KbiLbfffvuiQzgW9tlnn/Tc5z43nXnmmaO9O7ZXAYGh1nnrV+v6J4ewdq1Wu2pP7ZlzO+at8ZCfa33csrjJsdEubsRHueMjt612LHc7rqr2644vCG6eLPMQD30CVc+HfKRVP07Hp67lWI953eMhW9TdwfGrCzkX6lAX8rEONe7z68wJZIG47fCXvvSl9Jvf/Cbdcccd6dJLLy1Gpj7pSU/KqxTz6Ey98MIL07///e907rnnpmc/+9nptNNOK24x/c1vfrPfuu9617vSsccem37wgx8Uj5911lnFevE+L3jBC9Kvf/3rYjtnnHFG2mKLLfq9NkbFfvrTn06TJk1Km222WfG6uG1zTBHvRxxxRPrxj3+c/va3v6Ubb7wx/eQnP0lvectb0oQJE/ptJ0bYTpw4sXgs3v+iiy5KDz74YPrlL3+ZYv9e8pKXFM/FKOG4TXYcd9ySOdaN2zH/9re/LUYQx3byNJDVyvb961//emHyiU98In3lK19J5513Xt5suuyyy4p9iP24/fbb0zrrrNP7XIyijsfvu+8+I4R7Ver1w1DrvPWrdT2Uo127Vqtdtaf2zLkd89Z4yM+1Pm5Z3OTYaBc34qPc8ZHbVjuWux1XVfv1jgDOPc7mjb8c4MAhiqk4EAfiQB6oA+qAOqAO1LUOROybCGSBDTbYIJ1zzjnFqNjo8J09e3babrvt0mGHHVZ0lG6++ebFqjFq9eMf/3jaaaed0iOPPJLi8ejczc/n7Q00j/eI78KNTtX4PzqRjznmmH4v23TTTYtO0Hgwbo181VVXpWuvvbZY56Mf/Whx6+a99torTZ06NXV3d6dnPetZxTY+85nP9NvOnDlz0sUXX1w89r73va/4HuRPfvKTae+99y4e+8tf/tJv/RhtHB3ZURviO5Of+MQnpqOOOiodffTRxXqDsVrZvje/WXQwRwd2nq6++uriOBcsWFAc16tf/er8VIoRxTHFsfz973/vfdwP9RGo6/nKcbtejywXB+JAHMgDdUAdUAfUAXWgfx0oRgAHSvQ4m3MQB/JAHVAH1AF1QB1QB9QBdSA+OJsINAtEB+eaa65ZjIyNEbFPecpT0v7775/uuuuu4vbE0XEa06te9apiHrcojg7iHXbYoRgpu9VWWxWPD/afeF2Msn3a055WdATH62JUbfN00EEHpf/93/8tHrrnnnuK2yO/8pWvTOuvv35vZ2iMPI59je8aPvnkk4t149bOraOJY7+j4/qBBx4oRhNHR3bcWvrPf/5zet3rXtf8tsWo229/+9vF/r3oRS9Kn/3sZ4vnDz300KKzejBWK9r3fm/Us/CFL3wh/fd//3fvw9HhHreBzt95HMcSU4wEjvaIKfbNVE8B52/nb9fxruPVAXVAHVAH1AF1QB1QB3IdKEYA5wVzxUFxUBzUAXVAHVAH1AF1QB1QB+rZdeKoVyaw++67F09Hp2geLfu73/0ufe973ysej+enTZuWtt1222L5Zz/7WTFfvHhxesc73lHcxrl4YJD/xHv88Y9/LNa+++67i3lsfzDTnnvuWXTELlmyJEXHdNzO+eGHH04f+MAH0ty5c4tbQD/nOc/pt6kYQXzcccelpz71qelDH/pQuuCCC9Kdd96ZHve4x6XPfe5z/b6jOG6zHLetztN3vvOd4seZM2cWI58HY5VfO9z5CSeckJYuXZo22WSTFN8ZHKN/J0+enP7xj3+k888/f7ib9bqSCzh/O3+7jncdrw6oA+qAOqAOqAPqgDqQ60B3fL7JCzG3zEM89J0kqp4P+WRQ9eN0fOqautZX1+R94yJQXVAX6lQXhpP3kSMmAkMVWLZsWe9L5s2b1/tz/BBxOJQpvsd2VU3x/cHvf//7i7d76KGH0je+8Y30spe9LEVHcnRgxxTfr5unuJ1089T6ncLNz43VzzfddFNvR+9rXvOaFCOfYzL6d6zEy7PdOp3folUcr+t8cSAP6lwHhnOdH17yRt7UOW/KHv/y3u/1hlLHi0+uOWjyh3LLfX8hEAWBB498UqxaPFT1uKrWTo5HHR7N85C8b/ySTF7Jq9HMq06Pp+HkfRyTiUCzwKWXXlosHnLIIb3f5xvfdZtvQRzPxyja/H21Bx98cLH+pEmTipG1MVJ1LKb4nuGY1l577TRlypTis9uVV15Z7MvEiRPTBz/4wd63fc973pNWX331YuTshRde2Pt41IMYKfzjH/847bbbbsXjsb8HHnhgiv2PKUYO52mttdZKp5xySnHr63gs36I5Rhlfc801aTBW8bp2+z7YUc7x+uOPPz5mxXcbR1vE7avj+5ZN9Rao0/ktWtrx9v2+Zjjn+/DjKI7kUV8elS0f5L3P9+p4/c5j8l7eDyXvJ8aJLYLGnIM4kAfqgDqgDqgD6oA6oA6oA8UHA//UViBGw8Ytjpun+J7fZz/72WmvvfZKj3/841N0nt58881FR/CsWbPSrbfemo455pjiJfGdtTEK9aUvfWnaeeed0xprrFHcGjpuTdz6Hb7N7zHcn//0pz8VL43bL//mN79J0Tkb3x8c3+f7yU9+Mh1xxBHpmc98ZvGZd/vtty/Wjcf/9a9/9b7lnDlzits9x/HF/63TvffeW3SsHnnkkcVTcWvouFX0tddem2677bb0pCc9qXj8a1/7Wpo/f376/Oc/PyirFe176/uvaPkPf/hD8R3FO+20U7FK3I770UcfXdHqHq+JgPO483iEujgQB+JAHqgD6oA6oA6oA+pA/3tXRVUwESBAgAABAgQIECBAgACBJoG4JfO+++6bfvKTnxSjaHfZZZeis/XMM89M++yzT4pO4ph++tOfFqNpYzRsdCZHR/Fhhx3W+3w8PppTfA/xu971rnTjjTcWndN//vOfi07Qb37zm+lNb3pTuv3224sO2uj8jX18+9vfnr785S/324X4juBnPOMZ6eijj04XXXRR8ZroyI3vIP7617+eXvziF6fZs2f3viY6jOOYwiQ6f+O7eOM7eeO7gmMarNWK9r33jQbxw7nnnlusFaOvTzzxxEG8wioECBAgQIAAAQIECBAgUAeBrq222qrRDV6Ho3WMBAgQIECAAAECBAgMKBAdYiYCwxGI76Lddttti1HEX/nKV4rO0Ride9VVV6UYLfze9743nXzyycPZ9Li/5iMf+Ug66qij0g033JB23333cd+f2IHLLrus8D7ttNPSm9/85o7YJzsxfgIxAt5EgAABAgQIECBAgACBEOg2DNww8AgEcSAOxIE8UAfUAXVAHVAH1IHmOhA/mwgMVSBuQRy3Xf7whz9cjKA9//zzi+8Fjs7fuO3y6aefPtRNWn8FAvEdxdHZHrX7q1/96grW8nCdBJzHnccj3sWBOBAH8kAdUAfUAXVAHVAHog4YARwKJgIECBAgQIAAAQIEegWMAO6l8MMwBPbee+/0oQ99KO24445pyZIlRQfw73//+3Tcccelu+++exhb7IyXdNoI4Pgu5vj+39/+9rfpoIMO6gwkezGuAkYAjyu/NydAgAABAgQIECDQUQJGAPf8tXRM/iKCgziQB+qAOqAOqAPqgDqgDvTVgbAwERiOQHyP7n/+53+mddddN2244YZpr732Sv/93/9d6s7fcDjmmGOK21h3yu2fn/Oc5xT7o/N3OFFazde4jnEdE5EtDsSBOJAH6oA6oA6oA+qAOhB1oLurq6u4ODTnEEVBHIgDcSAP1AF1QB1QB9QBdSA+KJgIECBAoFwCzt/O367jXcerA+qAOqAOqAPqgDqgDuQ6UIwAzgvmioPioDioA+qAOqAOqAPqgDqgDpSry8PeEiBAgEAIOH87f7uOdx2vDqgD6oA6oA6oA+qAOpDrQNeWW27ZGAvt8xIBAgQIECBAgAABAgR6BB566CEOBAgQIFAygTXXXLNke2x3CRAgQIAAAQIECBAYK4Hu5g3HXwY0T5Z5iIc+garlQz6yqh2X41G3cmzHXDz0j4dsw6W/Cw8eOTeqWDfysQ01zvPrzAkQIECgnAJDrfvWL/f1UI5S7VjudtR+2i/ncswHioe87kDreV5c5VgZTFyJl86Ol9yW2qmz26mT2scI4Jw15gQIECBAgAABAgQIFAJGAAsEAgQIlE/ACODytZk9JkCAAAECBAgQIDBWAv1GAI/Vm9guAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIy9gA7gsTf2DgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEFglAt3Lly8v3qh1nt+99fG87PmGQPZonfPhEwKtcZGXOzU+OnW/Ot3N/jXOI+KnIZDjoXXeqT6dul/Zz/6VM660X2fXxcHmVV7PnAABAgTKIZDPv63zvPetj+dlzzcEskfrvKw+Zd3v7G//qxmX2ndsPyfIG3kTAjnPWufio5rxoV2r2a45f0favsV3AMfGmr+Y2DIP8dD3ReJVzYeqHldzURTH1Y9j7d13kTOYeJf3zu+DiRN5NbS86nSv4ea97wDOLWtOgACB8gjEdwAPt+7no/T6cl4vardytpu8awiI3+HFL7fhuck7eRcCZc2fsu63vBu/vCtGAMcvAyN4YspBZJmHeKh2Psh7dU+dr1+dl/fyXt7L+6HUgeLDgX8IECBAoDQCfp/T6Ayo4/XOUM7v4qS+cRLFTPtXp/3lvc/3dTzf1b2OyXt5P9S8785BY94IHg4cmi+GxYN4EA99H47kg3yQD/JBHahPHShNb4cdJUCAAIFeAefp+pynXZe7Lpfv8l0dUAfUAXVAHVAHBqoD/UYAD7Sy5xUVRUVRUQfUAXVAHVAH1AF1oPp1oLc3wQ8ECBAgUBoB5+fqn59dh7sOl+fyXB1QB9QBdUAdUAcGWwe6tthii8a98ErzkcaOEiBAgAABAgQIECAwlgJz5swZy83bNgECBAiMgcAaa6wxBlu1SQIECBAgQIAAAQIEyijQHTsdfzHQPFnmIR76BKqaD1U9rtxyjk8dy7EQc/HQiAcO8kJe9AnUJR9Gepx9Yn4iQIAAgTIIjLTue305rxe1WznbLdcU7af9cizEfLDxMNj18ratL85yLAwlzvJrxE9nxI926Ix2KFNeGAGcW8ucAAECBAgQIECAAIFCwAhggUCAAIHyCRgBXL42s8cECBAgQIAAAQIExkqg+A7g5o3HvaObJ8s8xEOfQNXyIR9Z1Y7L8ahbObZjLh76x0O24dLfhQePnBtVrBv52IYa5/l15gQIECBQDoGh1nnrV+v6J0epdq1Wu2pP7ZlzO+at8ZCfa33csrjJsdEubsRHueMjt612LHc7rqr2MwI4Z4w5AQIECBAgQIAAAQKFwKoYAXxD9/q0CRAgUBuB7ZbdM+bHagTwmBN7AwIECBAgQIAAAQKlEegdAZx7nM0bfznAgUNksTgQB+JAHqgD6oA6oA7UtQ5E7JsIECBAoDwCdT1fOW7X65Gl4kAciAN5oA6oA+qAOqAO9K8DxQjgQIkvkM7zSJSY8nLrvPGs51td8jKfhkD2aJ3z6Uwf7dKZ7ZLzR/tonxDI8dA6H258DPd1+f29viGQPVrnfPiEQGtc5OXxio/Bvq8RwFnKnAABAqMjsKpGAOfzTJ7nvc/LrXPPNwRaXfJyWX3Kut9ld7f/jd8vi7/xqSvcx8dd3sv76FfLU46H1vlYPT9W2837b/sNgezROi+DTzECuLnzNw4iptaDaV72PJ/meBA/fX88Ueb8kdfyWl73/2OoZo+q5kdVjyuflxyfutacxzku8ryu8THY4471TAQIECBQLoF25704gnaP1/18WPXj1+7iXt77fJ/rXJ6rC+qCulC9uiCv5fVAed21+eabFz2+zSeDCBzLjU69sIiJB49IpjxVJR6qchxVaxfH0xAQn2NTd7mOjau8lbch0Kn5NZz9MgI4Z7U5AQIERkdgVYwAXn311YudHU7dr+Ln3dxydfGoy3HWrV0db0NAfLf/HMulvYu8kTchUNX8qOpxyduxydvu5mSI4LHcVxx4iIeq50P+C5GqH6fjU9fyxZG63vhwxMH5TV2sV10czvk+YsREgAABAuUTcN1b3+vd4ZzvfS7wuSCqnLpR3roh7/tuPyyOyxvH6tDQ6rC8l/dDuX7rHQFcvo819pgAAQIECBAgQIAAgbEQmDt37lhstt82b+hev9/yUBem7P/cNPGJTyhetuT6f6RHz7pgqJuwPgECBFaZwKocAbzKDsobESBAgAABAgQIECDQsQLFCOC8d7nn2HJDgEfjLyHFQzXjQbtWs13VLXUr53bMW+MhP9f6uGVxk2OjXdyIj3LHR27bobZjfl0nzic986lp7Yt/kqa+7uWpa+bM1LX6zDTt9YcVj0166lM6cZftEwECBFa5wFDrvvXreb7X7uVud+1X7/bLJxZxUO840P71an953xAQ94OPeyOAc9aYEyBAgAABAgQIECBQCHTqCODo/F3zpC+nOW96T1r069/1a63Jez0zrXHCZ9KDLz8yLbn6un7PNS9M2OJxacaH35m6152VFl95dXrk2C+ltHx58yoD/rzmD05ID73iLcV6E3faIa3+6Q+l5cuWpwXf/VFa+P9+NuDrB1ph+gfe3nN8l6fFv/tjseq0/3p9WnTRpWnJX/8+0EtL+3zrMXfagUzcecc0uecPDOZ/83sj3rU1vnd8mnP4fw1qO4XLr35TxOqgXjAKK03eY7c06em7pHmf/VrbrQ30fNsXeTAZASwICBAgQIAAAQIECBBYlQK9I4Dj3uErmzzPR3ysWKCs+VHW/c4tYf/VpRwL7ebio318cGnvkmOID58cC+3mZY2Pke53O4txeWzqakUH79x3fLi383f6+96a4v+YFl18WZr73qPTGl//TErdvR9zHrOrMz/xwTT3/cekB194eFp87Q1p+lFHPGadgR5YvmxZ7ypTDzkgPfzhT6cH93t5WrySjufeF6zgh6511k4zPnRU22fnH3/SmHf+Ttr1yWnqqw9t+/5lenCsjmPJn/4yKp2/q8JyZbG0Kt7fe4y/wEjrvteX83pIu5Wz3XLF0H7aL8dCu/mK4mNFj+dteF5c5VhoNxcf5YwP7VbOdss5uKrbb2J+49Zh0/nxPPd8/2HV2SXP+fDJsdBu3qnx0an7lQ3tn7zKsdBuLj6GFx/chueWY5AfvxwL7eadGh8j3a92xzoej8Wow6V33pMePe/iFb59fA/w9HcdmSbu+MS2o4AnbLZJWnbf/Wn5fQ8U23j0Z+ekqT/8Rpr0Hzul6e98U0qTJqUF3z89LX/goTTtqDemZffel7pmTE9z3/KBtPrnP5bShO4077hvp+UPP9K7D4t7RuXO+OA70vzvnpZie223deThPe/7QFo+f0FavnRp6po2LT1yzBfSzKPfl5YvXFgc19Jb/p2mvOA5ack/by62Pe2tr00Tv/Tx9MjHPp8mPmX7YkTwtLe8Ji3rMZi4/bZpzmvenlY77OA0aYftiv2MFz38wU+m6e8+Mi36w5/ThA3WS5P33C3NffuH0honfSnNP/EHaerLDipGOz967sXFNiduuVnqmj6155h/nCbt/h/Ftpb87Z9p8R/+lNY4OUZavzfN/MQH0pKejvLF1/09rfb8/0wTHr9FWv7Q3LTgtJ+laUe+uvBZfNVf0rxPHpfWPv9Hacnfbkxda65ejHBd45ufT8uXLEldUyanhT8/Nz165vnFscU/a5xyXOHYvc6stOBHP+t9PG7tPXGbx6eung7/eV/+VprUM/J2tcNelJb85fo07/NfT6t/4ejedohbfjevu/TmW9OUg/brPY7Yv9jXxX+5Lk3YdJP0yMe/UFjMeesHUvfaa6Xp73hjmvikbXrcPlEsT3vLa9PSf92Wutdft/CNPy6Y/OxnpgWn/L+07O57i1GxqXtCanZ79NyLem5FPiOt/tVP9rNY66xT09I77kpzewzj+TW++5XU3RNLj/Q4RdvE88sXPpoeesnr04yje9bpib00aWJ6+AOfSDM/99E0aftt0sJf9HjFH2r3/D/zMx9Jiy79Q2HY+n6Lr/xzmrj1Vmn+CaekGF288Cdn98bSwtN+0Xb/ivZ93VHF+jEauXl/ozEm7/n0NGW//0yPnn9Jmv+N7/aL1SU97R1TjE6e2DOivuc7J9LS2+8sfOPx1V5yQG+bRfzmbS/4zo/6xeCyBx5M0950eOpabUp66I3vTqknP0yjIzDSuu/15bze0W7lbLec9dpP++VYaDdfUXys6PG8Dc+LqxwL7ebio5zxod3K2W45B1d1+3XnHmfzxl8OcOAQySgOxIE4kAfqgDqgDqgDda8DkQOdNE3cbuu05Jq/DrhLi/98XU+n4Q4rXq/1zkc9HW9TX3NomvPm96eHDnlDWu3g5xevXf7gnDS357Glf78pTd57j9S17tpp/rdPTUtuuqXoVMxvsPAHZ6SHP/rZNKmn03nm5z/adltLbvxXmnvUR9KErbdMj/SMFu5ea4202kHPLzo5lz+6uHhtdB5H52l02MW08Iyz0sM9I5UnNh1L12qrpUc+97ViBPTEJz4hTd5tlzTnDe/qN/L40XMuSlOeu2dhsPyReSk6zhf3uE199UvTsp6O62UPzys6e4v3OOfCNO+E7xTvsei8S4rtRudvTIuv+FOa/Kynp9i/iU/aNk153l5p4dm/6vnO5RnFPkzc7gk9+/jL9NCLX190AkZH+fIlS4sO564JE9OEJ2yVls2bn+b2dLYu73nP1im2M6+nw/Kh1/Z0ZL9k/96nV+vpwF2+aHFKS5elSU/bOS29656i3afs8+zi+56b26F13dhI83HkfV1wyo+KTvOuWWsVna6pp+N12f0PFNteetvtabUD90tTX/HiYl/nffWk4vbgsa2l/74zRef2aoceGIu908Imt3hwtZ5R4K0WXVOnFp2/xfMvfWFxa/AH9jk0Lbrk8sLpwf1f2fMGS9OEnk74SU/dqecPA5b1xMWaafJ/7t7Tn9qVYt35PfsSnatTX/GS1DV5cm8H+mPerycumqfWWHrM+j1t1To17288t+T6vxf7EHHdGqvNr130x6vTnCPenSZuu3Wxr/Fcc5vFct52awwuu2d20eEesROxbBq5QN3PW47f9XtkkTgQB+JAHqgD6oA6oA6oA4060B0fLgMj9zxb5iEe6pEP2rke7RwXPOq6up7zPc/FhbxQF+pTF0aS91ErOmpatKjn1s4r/2vfvL/FaMq80DRfeuvtxejOuEVuTFNetF9afNkVTWu0/3HZvHnp4Xf+T0/n8AvSlH33Kkba5jUn7f60nhGyf0uPfOb4NGHzntGQbablPR2hMYpz+dyHG89GJ3TPsTza872+j3zk08Uoy+KJns9meVp29+xixHBX0+2sly/oGUEco5d7RtX2u831hAn5ZT0dd//oGWG6ftGhuOzBh4rO1Rh529UzcnX+V08uRmnGaNqY4j1Sj2u8R8RKs+/CMy8oOsOXP9yzzz3PTdhs47Tkz9emOJZld97d+37NP8To6piWL+3Zv+apZ+T0YKcYFRsm80/6QVra09k+7bUvS48c/YWeDtsH0/I5c/u1Q+u68R7Nx9G8r0tu+Gea/ubXpEd/cV6xK9GWy+64Oy388Vk9w10n9+5eV1j2tEP3RhukSbs+JT3yqeP6ucSKzW69L2z5Yekdd7Y80rfY6/Too8WDS3v+QCCOeWHPHwHESPF+U7RLT1h0b7pR6lpj9X5P9S70dCTH6OHu9ddJXRN7RhLH1BRLjQda/v2/52MkdEyt+1vsx+LFaXnP/21jtWVzzYvNbda87dYYnP7uN6d5X/9OWvzHa3pGiU9p3oSfhyng/F6f83uESHN7j+R837yd1u1a7u/Mg0cn5Yu893u9iEd1qV51Sd7L+6HmfTECOJ+8omDkIIq5ZR7ioVFUqpgP8r7xywF1Tp2rU52T9/K+iuczdXzldXwkeV98GOigf5b89R9p0pOf1G+P5n32ayn+b54m7bJjMeK1+bHmnx/+755b7PbcennNH5zQc5vd7YrbDMetaVc//hNpjW9/obh9bqzf1TNKN26TO3Gn7dOyng66GR9+Z8/tjzfv6YB9MM389Id7bp08rdjshPXWSWuf+8Oe2x+flhae/ovUblvN759/XviTXxa3wy2+9/f/Onnj1r6to03z+u3mi6+6Jq3x/a8Wtzxufj5urbv8oYd6RwrHbY3nn/LDtMaJX0zT3/uWFB3hrdPSv99YjPKNW1jHtKzn9sUTe0Ysx3crx2jZGBHdPC08/cw09dCD0upfOqbYXow2bp6W/uOmnpG0a6fVT/h0r9XaF55euMZ6y+c+kma8681prdO+3eiE/b8XP3rBr3va5utpygH79Gz33xHgPbdIfl9xe+Xu+J7kpnZ4zLo922g9jv/bbFrYc5vp1XpG4sYtjWOKzuXVXnZgz2jpZxXLC/73J0V7T+vpJI5bfy97aE7P8W+RZvz3O4pO72KlFfwzkEWM6p768hcVt5+esu/e/bYSt62OaeYXPpZiVPeSP13bE3w9t8juib3p73lz8dyCU3+c5vd0lM54/9uK5db3W3T5H3tGMe/bMxL5wJ7RxT0dtj1Tcyy1rh9tFR2uMz767p4R3o1O6OJFK/inXazmVSf3xEvk0pJ/3lS0VfF4U5vl9WLeGoNLekbXzzzm/T2jhx/fvJqfRyBQp+vaYHK8fb+vGMn5nmOfo7iSV2XKB3nv833Eq7pVr7ol7+X9UPO+a/PNN+95TaNYRMFoDiLLPMRDX1GpYj7EMcWknavdztpX+zaf5xtZL+/lhbxozouqx8Nw8v7hGPU5xtMN3esP7R0mT0rr/O7sYvRt/h7g+I7WmHIn8JSeTrDoJLt/z4Mao2SLZ4f+T9w2Ob5fdt4XvzH0F6/CV0x91UvSgv/9ac9I1SenyXvtnuZ9+iur8N0Hfquprz40Lfjuj4qOzMU930s86em7pnk9t7COTt38HbQDb2V01ojv+p36usPSw+/+aNsNTt7rmT2jYO8uOoajo3zOa9/Rdj0P9gnEdwAv+tVv0uIrr+570E8rFNhu2T0rfG60nlh99dWLTtG8vaqf3xxf/+s57d4QEBf944JHtT3kvbwPAXle7TxvbV95L++HkvcT45dfOYjMG8WCAwd5oS6oA+qAOqAOqAPqQJ3rQP5Q2VHznu+FnfP2D6Y1Tz4uzTnyvcXI1NzxG/s5ee/d0+qf/Z/04EvfMKLO34465gF2JmJ0jW98Nk3Y4nFpzls+MMDaq/7pidtvk1Y/7tie20dvkuYdf1JafO0NRefvqt+Tnu/pfemBPaO7e273vIIpvrd25rEfKL6XecEp/28Fa9Xj4TX/3zd7vot4j0Ed7PR3Hzmo9QZaKW7F/uBBrxloNc8PIFDn85brNtdt4t/nN3VAHVAH1AF1QB1QB/rXga7NNtusb/jvAB8mPE2AAAECBAgQIECAQPUFOnIE8P+xx3furv7Zj6Sld9+b4rbQXRMnpAlP2DJ1z5jeMzr4Uylui2wiQIBApwmsihHAM2fO7LTDtj8ECBAgQIAAAQIECIyTgA7gcYL3tgQIECBAgAABAgQ6VaCTO4ALs66uNOVF+6WJj9+iWFx89XVp0fm/7lRO+0WAAIGkA1gQECBAgAABAgQIECCwKgUmrso3814ECBAgQIAAAQIECBAYsUDPrY8f/cnZ6dERb8gGCBAgQIAAAQIECBAgQIAAAQLVE+iOe2I3T5Z5iIc+garnQz7Sqh+n41PXcqzHvO7xkC3q7uD41YWcC3WoC/lYhxr3+XXmBAgQIFAOgaHWeetX63ooR6l2rVa7ak/tmXM75q3xkJ9rfdyyuMmx0S5uxEe54yO3rXYsdzuuqvZzC+icMeYECBAgQIAAAQIECBQCHX8LaO1EgACBkgm4BXTJGszuEiBAgAABAgQIECi5QO8I4NzjbN74ywEOHCK3xYE4EAfyQB1QB9QBdaCudSBi30SAAAEC5RGo6/nKcbtejywVB+JAHMgDdUAdUAfUAXWgfx3o7urqKi6SzDlEcogDcSAO5IE6oA6oA+qAOqAOxAdnEwECBAiUS8D52/nbdbzreHVAHVAH1AF1QB1QB9SBXAeKEcB5wVxxUBwUB3VAHVAH1AF1QB1QB9SBcnV52FsCBAgQCAHnb+dv1/Gu49UBdUAdUAfUAXVAHVAHch3oetzjHleMCc5BkT82WW4ECY+GgHioZjxo12q2q7qlboXAivJ7RY+LG3GzsrgRH+WOj+Hk/ar4DuAcV+YECBAgMDoCM2bMKDY0nLofvyTKk9eX83Oiditnu8m7hoD4HV78chuem7yTdyFQ1vwp637Lu/HJu+7mYI/gsdyX/DzEQ9XzIf8lSNWP0/Gpa/niSF1vfDji4PymLtarLg7nfB8xYiJAgACB8gm47q3v9e5wzvc+F/hcEFVO3Shv3ZD3jZGe4lge16mOyXt5P5Trt94RwOX7WGOPCRAgQIAAAQIECBAYC4FHHnlkLDZrmwQIECAwhgJ5BPAYvoVNEyBAgAABAgQIECBQEoFiBHBJ9tVuEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBKBHQArwTHUwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECiTQHfcMzwmcw7iQB6oA+qAOqAOqAPqgDqgDuQ6ELFgIkCAAIHyCOT6be56LqJWHIgDcSAP1AF1QB1QB9SBetcB3wEcVdBEgAABAgQIECBAgECvgO8A7qXwAwECBEoj4DuAS9NUdpQAAQIECBAgQIDAmAsYAWwEdBFk/hKk3n8Jov21fxQCcSAOxIE8UAfUgeY6ED+bCBAgQKA8As7jzuMRreJAHIgDeaAOqAPqgDqgDqgDUQe6Nt1000Kiq6uruEhsncdKMbU+npcbz3o+e7TO+TQEWl3yMp/x9cnt0DrXLuPbLvz5h0BrXublkcZH3k7rfKTb9fqGQKtrXubDJwRyPLTOxzo+Wt8vL6/sfY0AzjrmBAgQKI/A9OnTi53Ndb51no+k9fG87PmGQPZonXe6T+v+5uVO32/7V+64037j2345z1vn2mV824U//xBozcu8PNL4yNtpnY90u17fEGh1zctl9emOHc8H0W7ueT7t4iL+giQeFx/ljo/cjq1z7VrudtV+2m9ldbs13/OyuBE3K4sb8VHu+Mh53jpfWbvGcyYCBAgQKJ+A83n7wQ11+P1F63k+L0cUi4v6xoX2r3b85zxvnWv3are79q13+7bme14WF/WOixW1f+8I4FjBRIAAAQIECBAgQIAAgXnz5kEomUB89+cGG2yQ1llnneL/WbNmpTwasGSHYndXsUDk+/33359mz56d7rvvvnT33XcnNWAVN8IovZ2cHyVImyFAgAABAgQIECBQAYF+HcD5LwLzcVlu/IUgj4aAeKhWPIhrcR0C8rpaeT1Qe8p7eS/v61f3hpv3On+yXDnmO+64Y9pwww3TsmXLig686MSL/xcsWFCOA7CX4yowbdq0FH8wkP94YMKECen2229P11133bjulzcfukBzB/BA14Wer9bngBwt2rVa7ao9tWeM7MtTazys6PHW9SyLo5XFkfgoV3zI+4aAuB183PbrAM4BZE6AAAECBAgQIECAQH0FdACXo+2nTJmS9t1332Lk5uWXX16OnbaXpRDYfffdi07hs88+Oy1evLgU+2wnk1H/goAAAQIECBAgQIAAgV6B4juAe5f8QIAAAQIECBAgQIAAAQIdLxCjNl/xilekK664Iun87fjmKt0OXnrppenKK69Mhx9+eJo6dWrp9t8OEyBAgAABAgQIECBAoO4COoDrHgGOnwABAgQIECBAgACBUgnEyN9DDz00nXzyyemuu+4q1b7b2fII3Hnnnemkk04q/tBg8uTJ5dlxe0qAAAECBAgQIECAAAECqTvfA9688Z0KHDhEXRAH4kAcyAN1QB1QB9SButeByAFTZwrEbZ/PPffcztw5e1U5gbgNdMScqfMF6n7ecvyu3yNLxYE4EAfyQB1QB9QBdUAdaNSB4juAAyO+ODlPlnmIh+rngzyX5/K8+nneel6X9/Je3sv7wdYB3wGcK2jnzXfcccc0Y8YMt33uvKap9B7FdwI/9NBD6brrrqv0cZb94KZPn150fjnfO98P9nyfY976PieoG+WrG/JW3srb8uXtSM+78l7eDzXvixHA8aIInphyEFnmIR6qnQ/yXt1T5+tX5+W9vJf38n4odaD4cOCfjhKIjt8NN9xw1Dp/95w5NX1jyw3S73bYPP1tp63S2dtukp67xvSOOmY70xkC8Z3Am2yySYoORlPnCvh9TuOXgnW83hnK+V2c1DdOonpp/+q0v7z3+b6O57u61zF5L++HmvfdOWjMG8HDgUPzxbB4EA/ioe/DkXyQD/JBPqgD9akDndu9Ue8922CDDdKyZctGBeG1666RvvX4jdKzezp815o4odjmllOnpGMet26aNbF7VN7DRqolELEXMWjqXAHn6fqcp12Xuy6X7/JdHVAH1AF1QB1QBwaqA/1GAA+0sucVFUVFUVEH1AF1QB1QB9QBdaD6daBzuzfqvWfrrLNOuu+++0aM8LyNJqX3b7JOWtZzF6jP3n5fes5fb03Pvu7W9PW7Hkivu/HOdP+S0elkbt7RWbNmpc9//vPpd7/7Xfr+97+ftt566+anB/XzU5/61HT66acPat3hrDRlypT0q1/9Km266ab9Xv6e97wnffnLX+73WF54wQtekE477bR05ZVXphNPPDHFcY5kCptXvepVI9nEmL02Ym+kxzdmO2fDhYDzc/XPz67DXYfLc3muDqgD6oA6oA6oA4OtA8WfdsfKMZlzEAfyQB1QB9QBdUAdUAfUAXUgYsDUeQKj1QH8liMeTFP3vDP974LZ6eTZc9Lti5akuxcvScfd/WC6fsGiMTnwr33ta8Xo5Re96EXp5JNPTlOnTh3U+2y00UYpXhvT1VdfnT75yU8O6nXDWenRRx9NH/jAB9K///3vFJ3NH/vYx1a6mb322it9+MMfTieccEI68MAD08SJE9NRRx210teU+cnZs2enddddt8yHUIt9dx3nOi4CXRyIA3EgD9QBdUAdUAfUAXWg6ACOvxhonizzEA99AlXNh6oeV245x6eO5ViIuXhoxAMHeSEv+gTqkg8jPc4+MT91gkCMvhyNEcBP2nxZWu2Z96Zv3TOn97Ce8u7bUvP/j3/pab3PjfSHzTffPO2www7pK1/5Srr77rvTxRdfnP7yl7+kD37wg8X3GZ9//vnpxS9+cXrWs55VLEeH79lnn5222GKL9JGPfCTtueeeRSfwM57xjPTFL35xhevlzuHoKI4RxgcffHD66U9/ms4666z0rne9qziM6Hj+4x//mJ70pCcV7x/fbRtTjOKNfYjO6d122y0de+yx6XnPe1565zvfWTy/8cYbpwsvvLAY5TthQuOW2c9//vPTb37zm3TJJZekO++8M73mNa8p9nfmzJnFeldddVXx/k9+8pOL4//JT36S4rGTTjopxTqvfe1rixHR0YEcJs985jOL94p/2u1775Pj9EPEXvwRgqmzBUZa972+nNeL2q2c7ZarifbTfjkWYj7YeBjsennb1hdnORaGEmf5NeKnM+JHO3RGO5QpL/qNAM47nv8ywHJDgEfjLyXEQ7XiQVyL65zTMRcP9YgH7VyPds65rb2192jU9xxP5p0j0Pqhf6z2bPny0b8NdPO+brPNNkWH6+te97r09a9/vbeDNm7D/NnPfjbde++96TnPeU761re+lRYsWJDe+ta3Nr88ta7X78n/W3j729+e/vnPfxa3Z44RvTNmzCi2ddlllxXbjsfmzZtXjPbdbLPN0nnnnVe88v777y86bv/617+mL33pS8VjMbr3yCOPLNaNzuOYoi2WLFlS/Bzrxv9nnHFG0Xm75pprprg99DXXXJOOOOKI9IY3vCHdcMMNxWPTp09PL33pS4sO4+gU/973vpfWXnvtYjv5n3b7np8zJ7AyAef/ep7/tXs92z3XAu1fz/bX7vVsd3nfEKhr/Nf1uMX98OO++A7gDBhzQeTkIR76BKqeD/lIq36cjk9dy7Ee87rHQ7aou4PjVxdyLtShLuRjHWrc59eZd45AdEyOxnew/m3utHTy/K3T4t026z24q7/wuBT/3/vHbxePzb/7mt7nRvrDLbfcUnSO/td//VfRcbvrrrum6ACO6ZFHHkkPP/xw71vMnTs33XrrrUXHaoy0XbZsWXFr5daO79b1oiM2OoXjFsXRWZunP/3pT+mb3/xm0Qkc7xXTRRddlPbbb780efLk4ufYryuuuKLYl/y6/L55OfbpxhtvTHGb6DwC+Nxzzy06hNdYY41iRPFXv/rVvHoxf/DBB4v184OLFy9O0YbNuRjHHp3Q7aZ2+95uvVX12GjdgnxV7W8d36c5tuL4LdfreifHvHavV7tr73q3t7xvCMiDeudB3dpf3sv7EBhs3He3fpC2bBh5LiIxFw/Vjofc1tq52u2sfbVvzvXmubgQF+KhT6Dq+ZCPdKjHmV9n3jkC8R2so3EL3ld/c6307fnbpTX33ypN33W94gAnrjc1rf38p6Z1n/qqYvmBv/54VA/8ve99b9p5552L2y/Hz3//+9+L0bLnnHNO+sQnPlHc2rndG958881FB3F02q5siltGb7/99ul973tf0Wkc68bo2hhJm0cU59fHLafXW2+94nbMf/jDH9Iuu+xS3N45Px/zuI30TjvtlL785S83P9zv57gldHQC/+xnPytG8cb7xxS3eo6O3ejA3avne4JjFPOJJ56Ynv70pxfbjY7guOX0d7/73fSpT32qeI+lS5f26whf0b7324FVvBCd6xGDps4VGGqdt361rgdzZGrXarWr9tSeObdj3hoP+bnWxy2Lmxwb7eJGfJQ7PnLbasdyt+Oqar+unu8yWh5vFj3G5hzEgTxQB9QBdUAdUAfUAXVAHYhb7po6T2CrrbZKW265ZbrgggtGvHOr771JWuclWz9mO8vnrZnmnbF2uvf3Jz3mOQ+MrsAb3/jGdOihh6Y5c+YUHcPHHHPM6L7BKG9tn332KUZBR6e8qTMF4juuXce5jnMd5zpOHVAH1AF1QB1QB9QBdSDqQNcmm2zSEwv9MfJHmdbH87LnGwLZo3XOh08ItMZFXu7U+OjU/ep0N/vXOH+In4ZAjofWeaf6dOp+ZT/7V8640n6dXRcHm1fz58/Pq5p3kMC0adPSHnvs0ftdtSPdtalPXDut/qyN02pbrJ4mzJicFt05Lz3w85vS/GvvH+mmvb6CAnHb7EsuuaT4HuUKHl4lDilqRD4P53k+sLzcOvd8Q6DVJS+X1aes+112d/vf2dfBVW8feV/Nel71uHV8I6ub8l7eh0DOo9Z5PGcEcEvndyuS5UYR4sDBX475yzF1QB1QB9QBdaA+dcAI4Pio1JlT3GZ4zTXXTJdeemln7qC9qqTAnnvume677750/fXXV/L4qnJQRgDX5zztutx1uety+a4OqAPqgDqgDqgDA9WBogM4PuzkYMkffCw3godHQ0A8VDMetGs121XdUrdCYEX5vaLHxY24WVnciI9yx8dw8t4I4Bz1nTk/8MAD05VXXpnuvPPOztxBe1UpgZ6vjSq+v/nMM8+s1HFV8WCiAzim4dT9+OVRnry+nJ8TtVs5203eNQTE7/Dil9vw3OSdvAuBsuZPWfdb3o1P3nU3B3sEj+W+5OchHqqeD/kvRKp+nI5PXcsXR+p648MRB+c3dbFedXE45/uIEVPnCpx99tkpbsdrIrAqBCLWzjnnnFXxVt5jFARc99b3enc453ufC3wuiLKjbpS3bsj7xghQcSyP61TH5L28H8r1W+8I4FH4nGETBAgQIECAAAECBAhUQMAtoDu/EWOk32GHHVZ0zBkJ3PntVcY9jJG/0fl76qmnpoULF5bxEGq3z3kEcO0O3AETIECAAAECBAgQIPAYgWIEcH409xxbbgjwaPwlpHioZjxo12q2q7qlbuXcjnlrPOTnWh+3LG5ybLSLG/FR7vjIbTvUdsyvM+9cgeik//73v5923XXXtPvuu3fujtqzUgrEd/7uvPPO6Tvf+Y7O31K24GOvA4d6HrB+uc7/OUy1W7naTXtpr5y7MR9qPOTXDvV11hd3OXaGE3fiZ3zjJ7eddhjfdiiTvxHAOWvMCRAgQIAAAQIECBAoBIwALlcgbL/99mmTTTZJy5YtS/fdd1+aPXt2MdeO5WrH8drbGDW6zjrrpHXXXbeYT5gwId16663p+uuvH69d8r7DFDACeJhwXkaAAAECBAgQIECgggK9HcDN9w6P47Tcdy9xHuKhqvlQ1ePKtdrxqWPNf5ElHhrxwEFeyIu+vxStSz4M5zjd7jVfTZRnPn369LTBBhukWbNm9XbkxWMmAgMJzJs3r98fDtx9991p/vz5A73M8x0okDuAh1P3XR+U//pAu7vOl8flz+N8ahlsPg92vaFu1/oNAb7qaifWVXEpLocSl70dwLmwmxMgQIAAAQIECBAgUG8BI0fr3f6OngCBcgrkDuBy7r29JkCAAAECBAgQIEBgNAW64y8GYjLnIA7kgTqgDqgD6oA6oA6oA+pArgMRCyYCBAgQKI9Art/mruciasWBOBAH8kAdUAfUAXVAHah3HShGAEcQDGXYsPV5iZfy31ZGHstjeVz+PI4L+ZgGm8+DXa+x1cFv1/oNAb7qaifW1eHGpRHAubKZEyBAoDwCMQJ4uHU/H6XXl/N6RruVs93kXUNA/A4vfrkNz03eybsQKGv+lHW/5d345V0xAjh+WRXBE1MOIss8xEO180Heq3vqfP3qvLyX9/Je3g+lDhQfDvxDgAABAqUR8PucRmdAHa93hnJ+Fyf1jZMoZtq/Ou0v732+r+P5ru51TN7L+6Hmfe8I4PyJpjmI4jHLfUHFQzxULR/kfUOgau3qeNTtfDHQ7rwl7+V9u7hQN6pdN4aT9wsXLswvMy+JwIwZM9IGG2yQ1llnneL/WbNmpenTp5dk7+3meArMmzcv3X///Wn27NnpvvvuS3fffXeKx0zlE8gjgPOeO79X+/ze2r7avSHQ6mK5XnlQt/aW9/I+BOoW93U/Xnkv74eS910bbbTR8pw05o2LIg4cmv8iUjyIB/HQ9xey8kE+yAf5oA7Uow7oAM4fq8sx33HHHdOGG26Yli1bVnTgRSde/O9W3uVov/Hey2nTpqX4g4H8xwMTJkxIt99+e7ruuuvGe9e8/xAFVltttd5fAjtf1+N8rZ21s89nPp+pA+qAOqAOqAPqwIrqQNEBPMTPFFYnQIAAAQIECBAgQKDCAjqAy9G4U6ZMSfvuu28xcvPyyy8vx07by1II7L777kWn8Nlnn50WL15cin22kylFB7CJAAECBAgQIECAAAECIdCNgQABAgQIECBAgAABAgTKJRCjNl/xilekK664Iun8LVfblWFvL7300nTllVemww8/PMVthU0ECBAgQIAAAQIECBAgUC4BI4DL1V72lgABAgQIECBAgMCYCxgBPObEI3qDGPl72GGHpVNOOWVE2/FiAoMReMMb3pC+973vpUWLFg1mdeuMo4ARwOOI760JECBAgAABAgQIdJhAd9wbunmyzEM89AlUPR/ykVb9OB2fupZjPeZ1j4dsUXcHx68u5FyoQ13IxzrUuM+vM+88gbjt87nnntt5O2aPKikQt4GOmDN1vsBQ67z1q3U9lCNUu1arXbWn9sy5HfPWeMjPtT5uWdzk2GgXN+Kj3PGR21Y7lrsdV1X7GQGcM8acAAECBAgQIECAAIFCwAjgzg2EHXfcMc2YMcNtnzu3iSq5Z/GdwA899FC67rrrKnl8VTkoI4Cr0pKOgwABAgQIECBAgMDIBXpHAOceZ/PGXw5w4BDpJQ7EgTiQB+qAOqAOqAN1rQMR+6bOEoiO3w033HDUOn93fOH7064fuj5NfuMtxf9P7fl5xwPe01kHbW86QiC+E3iTTTZJ06dP74j9sRPtBep6vnLcrtcjI8SBOBAH8kAdUAfUAXVAHehfB7q7urqKiyRzDpEc4kAciAN5oA6oA+qAOqAOqAPxwdnUeQIbbLBBWrZs2Yh3rLu7Oz3zHb9If1v/zekv907r3d41PT//bYO3pWe/44wU65gINAtE7EUMmjpXwPnb+dt1vOt4dUAdUAfUAXVAHVAH1IFcB4oRwHnBXHFQHBQHdUAdUAfUAXVAHVAH1IHO7d6o956ts8466b777hsxwjbPe2e6cv6Ovdt5xpYT0jlvm57u+vTMtOtmE9Ll83dJ2z/vzb3PD+eHnXfeOZ100knpD3/4Q/rKV74ynE2kI444Ih199NHDeu1gXvTUpz41nX766Y9Z9dRTT02vetWrHvP4l7/85fTXv/61+P/CCy98zPODeeDaa69NW2yxxWBW7bfOe97znvSFL3yh32OreiFib9asWav6bb3fEAScv52/Xce7jlcH1AF1QB1QB9QBdUAdyHWg+LPuvBDzmCz3FQke4qHK+ZBPBuJcnFc5zsV3//iW942LQHHRPy54VNtjOHkfMWHqPIHR6gBest3r+h3cUXtPSZuu1ZUO+fb89Le7lxbPTdrxjf3WGcpC3Kb6hBNOSL/5zW/S85///HTFFVcM+uXRKfuxj32sWP8Xv/hFOuWUUwb92qGuePXVV6dPfvKTxcte8YpXpMMPP3zATfy///f/0pOe9KT0nOc8Z8B1q7bC7Nmz07rrrlu1w6rc8biur+/vc4Zzvo94iUnc1DdutH+541/e+3yvjtfvPCbv5f1Q8r7oAM5BE/OYLPf9hQAP8VDlfMgf8sS5OK9ynIvv/vEt7xu/3BEX/eOCR7U9hpP3EROmzhOI0ZejMQL4zvn9v8d1+pSUbrl/Wbr0pqXpkUcbx33b/DWGDbDXXnulOXPmpO9+97vp/vvvTzGidubMmenEE09MV111VfrpT3+anvzkJ6cY1Ro/xyjcb33rW2mjjTZKxx57bHre856X3vnOd6ZXvvKV6aijjkrPetaziu89/trXvpbOPvvsYgTtGWeckV784henZz7zmeniiy8u9vWDH/xgOvPMM4tt7r///sVjT3/601N8f21Mp512WjruuOPS6quvnqLz94UvfGH64he/mPbee+/01re+tegA3m+//Yp14xguu+yy9I53vKNYbvdPjBK+5JJLUuzLf/zHf/Qe45/+9KfifXbcccfi2H7+85+n448/vng+tvO6172u6BT/7Gc/W2w29vvyyy9P559/fnFM7awij+P/F7zgBUXH+rbbbttul8b0sYi9+CMEU2cLuK6v7+9zhnO+j3iJSdzUN260f7njX977fK+O1+88Ju/l/VDyvncEcJzwI3jMOYgDeaAOqAPqgDqgDqgD6kC960DxocA/HSmQP+yNZOdmTG7E9/TJqbjt886bTki7PG5C8fOs6Y1fokwoPimO5F36v/bggw9Oa665ZtGBec011xS3d4414ntlY+TtrrvuWnQuRodw3Gb5S1/6Ur8NTJkyJUWH6b333tt29O0222yTXvKSl6Tf/e536cYbb0x77LFH8fpYXrJkSdpnn33SWmutVYzejc7d6667rrcz/aKLLkpxa+af/OQn6ZxzzileF+8T7/fSl76033687GUvK/Yvbgc9bdq0FJ29sW+HHnpoimNce+21U3Qix8ji17/+9WnBggVF52689w477FBs65ZbbiluMR2jiKOzOzqyo1P461//enrXu95VbKfVKtp9yy23TMccc0wxQvpvf/tbv/2yQCALOH/X+/yt/bV/1AJxIA7EgTxQB9QBdUAdiDowyh/rI6xMBAgQIECAAAECBAgQIDDaAjGadjS+g3XTaXOKXVvUc7fnz1/waLpzzvLi/8+c/2i6f17jlyV5neEcQ4zIXWONNdJhhx1WvPzlL39572YefPDB9Oij/zfMuOfRf//730UnaXTSTpgwoegQnjhxYu/6+Ye5c+emW2+9tejMjfWWLl1adLw2j0idNGlSMcr3xz/+cTHCN7/2t7/9bTGSN25FHaNYo6M2On2bp+iIjtfnKTqh77jjjtTd3f8jc74FdIxMjuOL0b9XXnllmjy5pze9Z4qO2tjX+D+me+65J33mM58pvgs5thdTdArfdtttxc/5n0ceeSQ9/PDDebGYt1rFCOkYlRydzeMxjdYtyMdj370nAQIECBAgQIAAAQIE6ibQ/9Ns3Y7e8RIgQIAAAQIECBAgQKAkAvEdrM0dnsPd7SVXn1C8dHFPB/AXfrUo3TVnWfH/ly9a1LvJRVd8offnof5w1113pY9+9KPFbZxjhGzcwjlG10YHZyzHCNy45XO7KW7NvNNOO6UYYbuyKW4bHaNm4/bNMf39739P0Tkbt52OkbfNHawXXnhh2nzzzYtO2LgF9c4775zOOuusfpuP/TriiCOKkbn9nljJwg033JDe+973pq222qpYK44xOn7/+Mc/pk996lPppJNOKm51HR3S0XF/9913F+s97WlPSz/84Q+LW1efd955RSdyjDz+xCc+UdySup1V/PV23Mr6f/7nf4qRxPlW1SvZvVF/Kr7/N2LQRIAAAQIECBAgQIAAAQKdL9C1wQYbLI+/Uo4PlOYcxIE8UAfUAXVAHVAH1AF1QB1YtKivI7DzP9LUZw+jozFuA3zBBReM+KCf/76fpgsf3KnYzllvmVbM9z9hfuruuQP0s6f+Np173KtG/B42UC2BuI123F775ptvrtaBVehoYiS66zjXca7jXMepA+qAOqAOqAPqgDqgDkQd6Npwww0b9/iq0Iceh0KAAAECBAgQIECAwPAFmm/RO/yteOVoC8R3zsZ328ao0dGYNtvlgDTrWf+d3rnPjBTf/PvlCx5O9110TLrlz+eOxuZto2ICMer4kksuKW5hXbFDq8zhxPdRmwgQIECAAAECBAgQIBAC3fGXADGZcxAH8kAdUAfUAXVAHVAH1AF1INeBiAVTZwnMnz+/+F7a3XfffVR27Narzkx/+uIz0qv23TG9suf/P37hmTp/R0W2ehvZc889i+9gju8vNnWuQK7f5q7nIkrFgTgQB/JAHVAH1AF1QB2odx0obgEdhWBFtwWI52LyfPvbBjR0+IiPcsaHditnu6k7DQHxO7z45TY8N3kn70KgrPkznP02AjhnfWfODzzwwHTllVemO++8szN30F5VSmDjjTcuvjf5zDPPrNRxVfFg4hbQMQ2n7udfDnp9ef20u+v8yOPWOCiKgrrwGJfsVHaffByt87Ifl/1vCLS2a17mU2+fHAetc3FR77hYUft3xxOtwdK87Hk+zfHQejEpPsodH63tmZe1a7nbVftpv5XV7ZznrXNxI25WFjfio9zx0ZrveXll7RrPmTpX4Oyzz05xO14TgVUhELF2zjnnrIq38h6jIOB83r4TMFxiqrJPPr+3zqt+3I6v2nGtfVfevq35npe5rdyND58yXw/kPG+di2tx3S6ue0cAR4CYCBAgQIAAAQIECBAgsGjRIggdLjB16tR02GGHFR1zRgJ3eGOVdPdi5G90/p566qlp4cKFJT2Keu12HgFcr6N2tAQIECBAgAABAgQItBMoRgDnJ/JfRFpuCPBo/IWseKhmPGjXararuqVu5dyOeWs85OdaH7csbnJstIsb8VHu+MhtO9R2zK8z71yB+C7W73//+2nXXXdNo/WdwJ17tPZsVQvEd/7uvPPO6Tvf+Y7O31WNP0rvN9S6b/16nu+1e7nbXfvVu/3y6UIc1DsOtH+92l/eNwTE/eDj3gjgnDXmBAgQIECAAAECBAgUAkYAlysQtt9++7TJJpukZcuWpfvuuy/Nnj27mEcnsYnAQAIxmnydddZJ6667bjGfMGFCuvXWW9P1118/0Es932ECRgB3WIPYHQIECBAgQIAAAQLjKKADeBzxvTUBAgQIECBAgACBThTQAdyJrbLyfZo+fXraYIMN0qxZs3o78uIxE4GBBObNm9fvDwfuvvvuNH/+/IFe5vkOFNAB3IGNYpcIECBAgAABAgQIjJOADuBxgve2BAgQIECAAAECBDpVQAdwp7aM/SJAgMCKBXQAr9jGMwQIECBAgAABAgTqJtC9fPny4pjNOUQgiANxIA7kgTqgDqgD6oA6oA5EHTARIECAQLkEnL+dvyNixYE4EAfyQB1QB9QBdUAdUAeiDhQjgCMYmr842TIP8dD3RdpVzYeqHlcUtpgcnzqmjj22jskLeSEvHpsXjbNGdc8bw817I4BzZJgTIECgPAIxAni4dT8fpdeX83pRu5Wz3eRdQ0D8Di9+uQ3PTd7JuxAoa/6Udb/l3fjlXTECOH4ZGMETUw4iyzzEQ7XzQd6re+p8/eq8vJf38l7eD6UOFB8O/EOAAAECpRHw+5xGZ0Adr3eGcn4XJ/WNkyhm2r867S/vfb6v4/mu7nVM3sv7oeb9xBw05o3g4cCh+WJYPIgH8dD34Ug+yAf5IB/UgfrUgdL0dtjRXoEZM2akDTbYIK2zzjrF/7NmzUrTp0/vfd4PBFYkMG/evHT//fen2bNnp/vuuy/dfffdKR4zlU/Aebo+52nX5a7L5bt8VwfUAXVAHVAH1IEB68D666+/fMCV/m+EsPUUFUVFUVEH1AF1QB1QB9QBdaD6dWDx4sXl6/mo8R7vuOOOacMNN0zLli0rOvCiEy/+X7BgQY1VHPpgBaZNm5biDwbyHw9MmDAh3X777em6664b7Cas1yECkyZNKr7ey3m6+udp1+Oux+W5PFcH1AF1QB1QB9SBgepAV3QAd8hnFbtBgAABAgQIECBAgEAHCOgA7oBGGMQuTJkyJe27777FyM3LL798EK+wCoHBCey+++5Fp/DZZ5+d1IPBmXXCWtEBbCJAgAABAgQIECBAgEAIdMc/8ZcCzZNlHuKhT6Cq+VDV48ot5/jUsRwLMRcPjXjgIC/kRZ9AXfJhpMfZJ+anThOIUZuveMUr0hVXXJF0/nZa65R/fy699NJ05ZVXpsMPPzxNnTq1/AdUoyMYad33+nJeL2q3crZbLk3aT/vlWIj5YONhsOvlbVtfnOVYGEqc5deIn86IH+3QGe1QprwwAji3ljkBAgQIECBAgAABAoWAEX+dHQgx8vewww5Lp5xySmfvqL2rhMAb3vCG9L3vfS8tWrSoEsdT5YMwArjKrevYCBAgQIAAAQIECAxNoDvuEd08WeYhHvoEqp4P+UirfpyOT13LsR7zusdDtqi7g+NXF3Iu1KEu5GMdatzn15l3nkDc9vncc8/tvB2zR5UUiNtAR8yZOl9gqHXe+tW6HsoRql2r1a7aU3vm3I55azzk51oftyxucmy0ixvxUe74yG2rHcvdjquq/YwAzhljToAAAQIECBAgQIBAIWAEcOcGwo477phmzJgxJrd93meffdIf//jH9MADD3QugD0bF4H4TuCHHnooXXfddePy/t50cAJGAA/OyVoECBAgQIAAAQIE6iDQOwI49zibN/5ygAOHKADiQByIA3mgDqgD6oA6UNc6ELFv6iyB6PjdcMMNx6Tz99Of/nT6+te/nubOndtZB21vOkIgvhN4k002SdOnT++I/bET7QXqer5y3K7XIyPEgTgQB/JAHVAH1AF1QB3oXwe644ujA6V5HonSvOx5Ps3xID6qmR/atZrtmuu39tW+zXVcXDTO6/JCXrTLi6rnx2DjPtYzdZ7ABhtskJYtWzbqOzZx4sS01157pSOOOCItWbJk1Ldvg9UQiNiLGDR1rkC781rsbbvHq36+q/vxaXdxL+8f+/vuqtcFeS/v5b28z3Uuz9UFdaEYAdxaHCIwcpC0m3ueT7u4yHEkPsoZH9qtnO0m7xoXd+J3ePHLbXhu8k7exXVQWfNnsPtdHKB/Ok5gnXXWSffdd9+o7NdGG22UPv7xj6fvfe976dWvfnU6/vjj06GHHppOPPHEtOuuu47Ke6xoIy960YvS6aefXoxkfstb3rKi1Vb6eIxWfuELX7jSdUbyZHSGH3300Y/ZxLXXXpu23nrrxzweD3zwgx9Mf/3rX9P+++/f9vkVPfisZz0rXXTRRSt6umMej9ibNWtWx+yPHXmsQLvP6bFWu8ddz1T7eka7i3t5338wT7NHVfOjqsflfFXt85X2HVn7ynvn++bzW86nPI/4mNgaJJb7Bw0PHs1JVLV4aC4GVT7OqrWb41GXRpKv8r79xbW8klcjyatOj5/h5H0ck6nzBKID+Jprrhnxjq2++urpggsu6B3N+YIXvKDfNrfYYosU3we8dOnSfo+PxsJznvOc9P73vz994AMfSH//+9/TM57xjEFv9hWveEWaMGFC0Wl93HHHpbvuumvQrx3qir/4xS/SaqutlqZMmVLs71lnnZX+9Kc/rXQze++9d7rlllvSc5/73BTrV22aPXt2iu+gNnW2QJXPZyHv+Po6tVo9hnO+D8/W7VgWZ/JsxXnWafkh732+V8frdx6T9/J+KHlfdADnoDFvBA8HDs0Xu+JBPIiHvg8/8kE+yAf5oA7Uow4Uvw32T8cJxOjL0RgBHJ27K7uV71vf+tYx6fwN0H333Tf9+te/Tpdccknhe8YZZ6QddtihGG272WabpauvvjodddRR6U1velN65jOfWdyS+sEHH0w/+tGPUuzX/PnzU3RERmfweeedl9Zff/1+673nPe9Jv/vd71J0NL/sZS9Lsc2PfOQj6ctf/nJae+2108KFC4uRzzfccEN6xzvekZ7whCek9773vcVo5C996UvpjjvuSO9617uKEbnxnbf/+Mc/0iGHHJJ23nnn9F//9V/FPsf+PfnJT07HHHNMsQ/x4H/8x38U2//Qhz5UPB4dx7H+0572tOI947ubY4Twnnvu+ZjHio32/DNz5sy2+5mfH+95xF78EYKpswWcp+txntbO2tnnMp/L1AF1QB1QB9QBdWCgOtAdH11iJXMO4kAeqAPqgDqgDqgD6oA6oA4UHwz807EC8SF/pNPGG2+80k3cdtttK31+tJ98wxvekKJDNkYiT58+Pb30pS8t3iK+c/bwww8vbkkdnb5x++Wf/OQn6Zxzzum3C83rbbfddv2ei4WDDz44RWfu73//+/TQQw/1jjo+99xzi47b6Cy+55570lOe8pTUejvmE044IT3yyCPp2GOPTf/+97+LbV922WXpwgsvTAceeGDvez3/+c9PV111VfF4d3d3cSzx5LRp09Lb3/72FK+JTusVPRaPr2g/ixf5h8AgBZzHnccjVMSBOBAH8kAdUAfUAXVAHVAHig7gKAYxtf4ywXL/X67w4NHIlMa/ZY+HfCxlPw77Ly9zLMdcPKw8HrIVp5U78eGTc6UKdSUfy1DjOr/OvLME7r///lH5DtYHHnhgpQd2wAEHrPT5kTwZna7RybrTTjsVt1eOTs+YFi9enOL48i8p4rHocF2wYEExCjhu/RwdvZMmTYqn+k3N68Xr4/+4fXOM+M3TkiVL0le+8pXi1tcxqjemuAX13XffXYw2/s53vpO23XbbonP4l7/8ZX5ZMY/tNb/vlVdeme69997idtR5xWc/+9nFa2MEc4z+jVHWeYr9bj6ueLzdY/F4u/2MxzthGs3voO6E46n6Pgy17lu/3Nc/OZ61Y7nbUftpv5zLMR8oHvK6A63neXGVY2UwcSVeOjtecltqp85up05qn34dwK0fSi03/kIgJxYPHjkWYl72eMjHUvbjsP/yMsdyFfJyrOM5W431+9i+vMyxJi/H/3oht8VQ8zK/zryzBGIU7GjcgveKK65Y6YHF9+tGJ+1YTDFy9rTTTiu+x/fiiy9Om2++eTrxxBPT05/+9OL2z9ERHM+3m+I7eI844oj0qle9qt3TxWP59ccff3yK7zKOKUYNR+fyz372sxQdtfE9vXmK21HHbaJjv6JjPG4xHaORm6f43uVvfetbRQdx8+P557it89SpU9Nuu+2WnvSkJ6W4DXXcEnry5MlFx/ZvfvOb9LznPS/94Ac/KF4S+9j6WDyxsv3M7zWe83XXXbe4/fZ47oP3HrzAUOu+9ct9/ZYjQzuWux21n/bLuRzzgeIhrzvQep4XVzlWBhNX4qWz4yW3pXbq7HbqpPbp6vkQtzx6pGOnmnum83LrvDnIml+X1/N8QyB7tM758AmB1rjIy+MVH+P1vuN93N5f3a/zeU/eNwRyHWid8+ETAq1xkZfLGh9D2e+lS5fm1c07SGCrrbZKW265ZTGKdaS7dfbZZxffRdtuOzHqdvvtty9ul9zueY8NTiA6guO7f9/97nf3vqDdY71PdvgPMar5xhtvTDfffHOH72l9dy9Gyjf/niZL5PNX69zzDYFWl7xcVp+y7nfZ3e2/3y+M5+8X5H0167m6oq6srK7Ie3kfArlOtM5zfHStt956/bvL8zPmBAgQIECAAAECBAjUUiBuQ2vqPIH4Ptk99tgjnXfeeSPeubXWWitdcsklxXfjtm7s05/+dPrc5z7X+rDlmgvst99+RczEHwiYOlNg4sSJnblj9ooAAQIECBAgQIAAgVUu0B09wzGZcxAH8kAdUAfUAXVAHVAH1AF1INeBiAVTZwnE7YnvuOOOtPvuu494xx588MH03Oc+Nx199NFphx12SOuvv36K7/59//vfr/N3xLrV20Dc5vrWW28tvpO5ekdXnSPK9dvc9VxEtTgQB+JAHqgD6oA6oA6oA/WuA8UI4AiCdsPJo0DE5Hk+4qPvi8Wrkg9VOY5GlVKntKc6PZg6LU7EyWDiRF1tCFQlX4Z7HEYA50zozPmBBx6YrrzyynTnnXd25g7aq0oJbLzxxmnnnXdOZ555ZqWOq4oHEyOAh1v3s4fXl/N6UbuVs93kXUNA/A4vfrkNz03eybsQKGv+lHW/5d345V0xAjh+GRjBE1MOIss8xEO180Heq3vqfP3qvLyX9/Je3g+lDhQfDvzTkQLx/b1xO14TgVUhELF2zjnnrIq38h4jFPD7nEZnQB2vd4Zyfhcn9Y2TKDHavzrtL+99vq/j+a7udUzey/uh5n3vCOAVfc5oDqp263i+L+j4PFZAfHR2fDy2xRqPaLfObjfto33yyb5dDg8UH+1eE48N9DrPi7uRxJ34Gd/4GU7eL126dEUv83iHCEydOjUddthhRceckcAd0igV240Y+Rudv6eeempauHBhxY6umoeTRwCv6Oicj8f3fDzW/tq9vcBYu9t+tfOq09u3fdT7fN/p7Wb/1I2R/H5F3rcXkFft86r3O4CDLZBa583B6Hk+4qN/npQ5P4pk7/lHXstred0/D8qc160XO635Le8bAq0uA7l5vv9FJL9ynTeGm/f5deadK7BgwYL0/e9/P+26666j8p3AnXuk9mw8BOI7f+O2z9/5znd0/o5HAwzzPat8Het6bOXXYzlkXKeV6zpNXK88rvms3EfeNwTUPXUvIqE5Dqp8PSTv5X1rvOflFcV917rrrtu4F16OHnMCBAgQIECAAAECBGotYARwuZp/++23T5tssklatmxZuu+++9Ls2bOLeXQSmwgMJBCjyddZZ53U87uBYj5hwoR06623puuvv36gl3q+wwSi7UwECBAgQIAAAQIECBAIAR3A4oAAAQIECBAgQIAAgX4COoD7cZRiYfr06WmDDTZIs2bN6u3Ii8dMBAYSmDdvXr8/HLj77rvT/PnzB3qZ5ztQQAdwBzaKXSJAgAABAgQIECAwTgI6gMcJ3tsSIECAAAECBAgQ6FQBHcCd2jL2iwABAisW0AG8YhvPECBAgAABAgQIEKibQL/vAI6Db75XtGUe4qH/HdKr5pELXtWOy/FUO26178jaV943BMTRyOKIX7n8hpv3+XXmBAgQIFAOAefncp2fR7u9cpSO9nZtr95xpf07u/3lfUNAnHZ2nGqf0W0feS/vQ2CwedV2BHC8OH9xdg6o5rnn+YiPruaU6PdzWfOjrPud8e2/uqQuDb0uyRt5I2+GnjdlP+8MNu+NAM4tbU6AAIHyCLQbATzYur+io/T6cl4vardytlvOQ+2n/YbzOU3ciJvhxI260xAoa/6Udb/F3aqLu94RwBEsMeWgaV7Oj+d5FBPP93lllzznIz7KmB/iVtyWMW7V3ZGdt+W9vJf39bueG0reR401ESBAgEB5BNqd14dS973+sdcFZfUr635HtkUc2n+fU9rVI/Gx8vyQN/JG3jz2PF71uiHv5f1Aed+dg8S8ESwcODR/2BAP4kE89H34lg/yQT7IB3WgPnUgPiibCBAgQKBcAs7T9TlPuy53XS7f5bs6oA6oA+qAOqAODFQHihHAA63kecVEMVFM1AF1QB1QB9QBdUAdqE8dKFeXh70lQIAAgRBwnq7Pedp1uety+S7f1QF1QB1QB9QBdWCgOtC1zjrrNMbGt3xeysHT8nDvoucbwdUL0vIDHz6RfCuaOjU+OnW/sqP9k1dlzKtOj195Ja/kVfnO1yOtK4PJe98BnJXNCRAgUB6B7u7utjs7mLrveqB61wPa3XW+vK5eXuciv6L8XtHjA73O8w0BfupmGeumuBW3K4vb4tNBBElMzfN4UfOy5/k0x4P4qGZ+aNdqtmuu39pX+zbXcXHROK/LC3nRLi+qnh+DifswMBEgQIBA+QTandcGU/fbvS6OPh73+nJeL2m3crabvFN3RlJ35b28dz5/bD9X1euqvJf3K8v7FY4AjsQwESBAgAABAgQIECBQP4Fly5bV76AdMQECBEousKIRwCU/LLtPgAABAgQIECBAgMAwBNrfH2gYG/ISAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBhfAR3A4+vv3QkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDBqAt1xj/CYzDmIA3mgDqgD6oA6oA6oA+qAOpDrQMSCiQABAgTKI5Drt7nruYhacSAOxIE8UAfUAXVAHVAH6l0HfAdwVEETAQIECBAgQIAAAQK9Ar4DuJfCDwQIECiNgO8ALk1T2VECBAgQIECAAAECYy5gBLAR0EWQ+UuQev8liPbX/lEIxIE4EAfyQB1QB5rrQPxsIkCAAIHyCDiPO49HtIoDcSAO5IE6oA6oA+qAOqAORB3omjVrViHR1dVVXCS2zmOlmFofz8uNZz2fPVrnfBoCrS55mc/4+uR2aJ1rl/FtF/78Q6A1L/PySOMjb6d1PtLten1DoNU1L/PhEwI5HlrnYx0fre+Xl1f2vkYAZx1zAgQIlEcg6ntMuc63zvORtD6elz3fEMgerfNO92nd37zc6ftt/8odd9pvfNsv53nrXLuMb7vw5x8CrXmZl0caH3k7rfORbtfrGwKtrnm5rD7dseP5INrNPc+nXVzEX5DE4+Kj3PGR27F1rl3L3a7aT/utrG635nteFjfiZmVxIz7KHR85z1vnK2vXeM5EgAABAuUTcD5vP7ihDr+/aD3P5+WIYnFR37jQ/tWO/5znrXPtXu121771bt/WfM/L4qLecbGi9u8dARwrmAgQIECAAAECBAgQIBAfIk0ECBAgUC6B3MlZrr22twQIECBAgAABAgQIjIVAMQI4b7j1w4LlxghXPg0B8VCteBDX4joE5HW18nqg9pT38l7e16/uDTfv8+vMCRAgQKCcAgNdF3q+Wp8DcpRq12q1q/bUnjm3Y94aD/m51scti5scG+3iRnyUOz5y22rHcrfjqmw/I4Bz1pgTIECAAAECBAgQIFAIGAEsEAgQIFA+gdZfJpXvCOwxAQIECBAgQIAAAQKjJdBvBPBobdR2CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGDVC0xc9W/pHQkQIECAAAECBAgQIDD2Auuvv/7Yv4l3IECg9AL33HNP6Y/BARAgQIAAAQIECBAgQKBZoGvttddeHrcJitu8mXMQB/JAHVAH1AF1QB1QB9QBdaD5A4OfCRAgQKA8Aq7jXMe5jnMdpw6oA+qAOqAOqAPqgDoQdaD4DuAcDPkjjeVGcPBoCIiHasaDdq1mu6pb6lYIrCi/V/S4uBE3K4sb8VHu+Bhu3sfrTAQIECBQLoHmX/bmPR/uecDrGwJl8SvLfoqrcsWV9urs9pL3fq8X5/08iYd6xIN2rkc7j2Zed+egiXlMlhtBxEM8VD0f8i8Hqn6cjk9dd17rO6/J+8ZfgKoL6kKd6sJI8j5yxUSAAAEC5RGo0/ktWsXxus4XB/KgznVgJNf5dXZTN9SNMse/vPd7vYjfodSx3hHAxat6/slB1Dr3fEOg1SUv8+ETAjkeWuedGh+dul/Zz/41BLJH65wPnxBojYu8vKL4WNHjA73O830XmcNx58cvX6SPR/wMN+/z68wJECBAoBwCrjfqfb2RozTHQevc8w2BVpe8zIdPCOR4aJ13anx06n5lP/vXEMgerXM+fEKgNS7y8oriY0WPD/Q6z9fzOrF3BPDKgi2Cw/MrTkY+4qOs+VHW/c5/qWX/1aV88dJuLj7axweX9i7qSt9tdNrlE59y+wwn7+M1JgIECBAol4DzdbnP1yNtv4hW13GNX+62c+AjPtrFxUjzbrxfL67FdRXjerzzqtPfX97L+6Hkfdfaa6/tC74ia0wECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAouUB37H/0GDdPlnmIhz6BquZDVY8rt5zjU8dyLMRcPPTdqYFLn4C4UCf6oqG6dWKkcd5s5GcCBAgQ6HyBkdZ9ry/n9ZF2K2e75Yqi/bRfjoWYDzYeBrte3rb1xVmOhaHEWX6N+OmM+NEOndEOZcoLI4Bza5kTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECg5ALFdwA3H0Pc47x5ssxDPPQJVC0f8pFV7bgcj7qVYzvm4qF/PGQbLv1dePDIuVHFupGPbahxnl9nToAAAQLlEBhqnbd+ta5/cpRq12q1q/bUnjm3Y94aD/m51scti5scG+3iRnyUOz5y22rHcrfjqmo/I4BzxpgTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECg5AK9I4Bzj7N54y8HOHCI3BYH4kAcyAN1QB1QB9SButaBiH0TAQIECJRHoK7nK8ftej2yVByIA3EgD9QBdUAdUAfUgf51oBgBHCjxBdJ5HokSU15unTee9XyrS17m0xDIHq1zPp3po106s11y/mgf7RMCOR5a58ONj+G+Lr+/1zcEskfrnA+fEGiNi7w8XvEx2PfN65kTIECAQLkE8nkmz/Pe5+XWuecbAq0uebmsPmXd77K72//G75fF3/jUFe7j4y7v5X30q+Upx0PrfKyeH6vt5v23/YZA9midl8GnGAHc3PkbBxFT68E0L3ueT3M8iJ++P54oc/7Ia3ktr/v/MVSzR1Xzo6rHlc9Ljk9da87jHBd5Xtf4GOxxx3omAgQIECiXQLvzXhxBu8frfj6s+vFrd3Ev732+z3Uuz9UFdUFdqF5dkNfyeqC87lprrbWKHt/mk0EEjuVGp15YxMSDRyRTnqoSD1U5jqq1i+NpCIjPsam7XMfGVd7K2xDo1Pwazn7lmDYnQIAAgfII5M+sw6n7+bVxtF5fzutF7VbOdssVRvtpv+HUYXEjboYTN+pOQ6Cs+VPW/RZ34xN33fG2OWhibpmHeGhcPNQhH+IioQ7Hqa6pa+paX12T9+qeul+/693h5H3xocA/BAgQIFA6Ade9fde90Xh18hjO+d51Yf2uC+uWF1U/Xnnv8706Xr86Lu/l/VDyvncEcJwQTQQIECBAgAABAgQIEMgfKEgQIECAQHkE4heCJgIECBAgQIAAAQIECIRAMQI4U7T+osdy4y9I+DQExEO14kFci+sQkNfVyuuB2lPey3t5X7+6N9y8z68zJ0CAAIFyCgx0Xej5an0OyFGqXavVrtpTe+bcjnlrPOTnWh+3LG5ybLSLG/FR7vjIbasdy92Oq7L9jADOWWNOgAABAgQIECBAgEAh0PqBBEtnCPz3f/93es973lPszHnnnZcOO+ywQe3Ysccem2688cb0+te/Pr3rXe9KV1555aBeZyUCBMolYARwudrL3hIgQIAAAQIECBAYS4Hu/AEhz/Ob5eXWuecbAq0ueZkPnxDI8dA679T46NT9yn72ryGQPVrnfPiEQGtc5OUVxceKHh/odZ7vf2vF7NE659sQaHXJy3zGx2eo7nl9884S+N73vpdmzZo16M7f2PuTTjopnXPOOZ11IPaGAIFRF8jn2TzPb5CXW+eebwi0uuTlsvqUdb/L7m7/fU7KuRfzHA+t87xO6+N5ebjPD/d1I31frxf3OfZinuOhdZ7XaX08L3u+IZA9Wucr8lnR4/n1nh+ea9X8jADOmWBOgAABAgQIECBAgEAhYARwZwZCjABeb7310jvf+c5iB7/0pS+lbbfdNq2//vrp8ssvT09+8pPTySefnGbPnp0+/elPp9tvvz298Y1vLEb9xs8HHXRQ7wjgvfbaK33+859PM2bMSJ/5zGfSDjvskLbeeuv08MMPp5e//OXpm9/8ZvrLX/6SHn300fT0pz89/f73v08f+tCHim3uvvvu6Tvf+U7aaqut0h133JHe/e53p1//+tfFz9HRHO+zePHidOGFF6ajjz46/e///m/aZZdd0vHHH5/uueeeYhTzggUL0m233VZ0Zt90003p7W9/e79txmjlefPmdWZD2CsCHSrQ+gurDt1Nu0WAAAECBAgQIECAwCoQeMwI4PyBwbzxFzwcOEQeigNxIA7kgTqgDqgD6kDd6kDEvKnzBA4//PB0//33p/e///3Fzv3xj39M3/3ud4uO1E996lPpkEMOSauvvnr6wx/+kDbYYIO0//77tz2It771rUVn8Zve9Kb0jne8o1hn/vz56bWvfW3b9ffcc8902WWXpaOOOio97WlPS7vuumvR6TtlypSi83ittdZKH/zgB1N05i5btiy9+tWvLvZl0qRJ6ZFHHiluO33kkUcW237ooYeKjujddtutWOclL3nJY7b5lKc8pe1+eJAAgRUL1O085Xhdn0c2iANxIA7kgTqgDqgD6oA60L4OdMdf9wdO/it/yzzEQz3yQTvXo53jAkhdV9dzvue5uJAX6kJ96sJI8j5qhanzBPItoGPUbkzRmRqjdB944IG0cOHCNHHixPSiF70o/eIXv0jXXHNNmjx58goPIkbYRudsnq644opiG7G8aNGitNpqq6Xo2I3p29/+djHK+Ic//GGaNm1a0ckbHc4xyvfOO+9Mc+fOLTqIY90YbRzbnjBhQtppp53S4x//+BTr5n2ZM2dOis7m2PeY58+i0XGctxnbMBEgMDQB5/f6nN8jMprbeyTn++bttG7Xcn9nHjw6KV/kvd/rRTyqS/WqS/Je3g8174sRwPnkFQUjB1HMLfMQD42iUsV8kPeNXw6oc+pcneqcvJf3VTyfqeMrr+Mjyfviw4B/Ok4gjwA+66yzVrhv1113XfrABz6QNt100xWu87Wvfa0Ysfvzn/88xa2kY8o1In7+6U9/ml75ylcWt3+O5YMPPji97GUvSzfccEO6+OKL05/+9Kd0ySWXFLegvvfee/u9NtbP07/+9a/ittVxm+iVTTFiuXmbd99998pW9xwBAm0E6nRdG4fvePt+XzGS8z3HPkdxJa/KlA/y3uf7iFd1q151S97L+6Hmfdeaa67ZqBRFufAPAQIECBAgQIAAAQJ1F+ju7q47geMnQIBA6QRiFL2JAAECBAgQIECAAAECIdDvNzvxFwQxtc6LB9s8ntfzfEMge7TO+fAJgda4yMvjFR/j9b7jfdzev1HntX9DIMdD67yqPlU9rtx+jq+eca39V17Xh5sX+XXmBAgQIFBOgXx+bJ3no2l9PC97viGQPVrnnerTqfuV/exfOeNK+638Onu8feSVvAqBHIetc/FRzfjQrtVs15y/Y9G+RgBnVXMCBAgQIECAAAECBAoBI4AFAgECBMonYARw+drMHhMgQIAAAQIECBAYK4F+I4DH6k1slwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTGXkAH8NgbewcCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAisEoHu5cuX93sjyzyaA0I8VDsecltr52q3s/bVvjnXm+fiQlyIhz6BqudDPtKhHmd+nTkBAgQIlENgqHXe+tW6HsxRql2r1a7aU3vm3I55azzk51oftyxucmy0ixvxUe74yG2rHcvdjquq/YrvAI43a/6iYcs8xENXrqXFxVUVPeS5PK9iXOfEFd/t45tLexdx0xAQH9WMj+G2q+8AzpWhs+YHHnhget3rXtfvs1tn7aG9qbJA1JOTTz45/fznP6/yYZb62OI7gIdb9/OBe305rwe0WznbTd41BMTv8OKX2/Dc5J28C4Gy5k9Z91vejWPerbHGGsujEyAHj3nj5MGBg7xQF9QBdUAdUAfUAXWgrnVgwoQJ+TOaeQcJ/PKXv0wveMELOmiP7ErdBMRgZ7f40qVLiz8Qcf3i+qWu1y+O2+c39U/9UwfUAXVAHVAH+upAN4w+DMVBcZAP8kEdUAfUAXVAHVAH1IG+O6F0dldH/fZuyZIl9TtoR9xRAmKwo5rjMTvj/OU61nWs61h1QB1QB9QBdUAdUAfUgVwHiu8AzgvmioPioDioA+qAOqAOqAPqgDqgDjymV8EDBAgQINDxAs7fzt+u413HqwPqgDqgDqgD6oA6oA7kOtAVt4Du+E8xdpAAAQIECBAgQIAAgVUm4BbQq4x6SG8U370a3wNsIjBeAmJwvOQH975xC2gTAQIECBAgQIAAAQIEQqC7mSH+MqB5ssxDPPQJVC0f8pFV7bgcj7qVYzvm4qF/PGQbLv1dePDIuVHFupGPbahxnl9nToAAAQLlFBhq3bd+ua+HcpRqx3K3o/bTfjmXYz5QPOR1B1rP8+Iqx8pg4kq8dHa85LbUTp3dTp3UPkYA56wxJ0CAAAECBAgQIECgEDACuDMDwejLzmyXOu2VGOzs1jYCuLPbx94RIECAAAECBAgQWJUC/UYAr8o39l4ECBAgQIAAAQIECBAgQGBVC9x///2r+i29HwECBAgQIECAAAECBAgQWKUCOoBXKbc3I0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwNgJdC9fvrzYeus8v2Xr43nZ8w2B7NE658MnBFrjIi93anx06n51upv9a5xHxE9DIMdD67xTfTp1v7Kf/StnXGm/zq6Lg82rvJ55+QROPvnktPXWWxc7vvPOO6ejjjoqfeITn0if/vSn06abbvqYAzrllFN613/Mk6PwwDnnnFNs5Zvf/OYobM0mCBBYkUA+/7bO8/qtj+dlzzcEskfrvKw+Zd3v7G//qxmX2ndsPyfIG3kTAjnPWufio5rxoV2r2a45f0favt3xhcSxsfzFxHk5bzgve77xxdLZg09DIHuIj/LFh7xX9+Rt+fI2Ku9I6q68l/fyXt43f4gYqJ7k613z8grsv//+KTqAv/zlL6cPfehDRSfwe9/73jRlypR00EEHpVe+8pWr9ODe9KY3Der9Pvaxj6VtttlmUOtaiQCBPoGB6rrnq/v7L9f5rvNd57vOH8p1vvNBdc8HcVWgfavbvs73zvdDPd9PzEFj3ggeDhyaT5LiQTyIh76LJvkgH+SDfFAH6lMH+roT/FQGgRe+8IXpNa95TbrrrrvSscce27vLe++9d/rMZz5TjPy95ZZb0sYbb5x+/vOfp3322Se97GUvS5MmTSpeEy/4wAc+kJ74xCemM844Ix133HHp85//fJo/f35aY4010uc+97n0P//zP+nGG29MW221VbrtttvSsmXL0lOf+tRiO7G9PfbYIy1dujT9+9//Tl/5yleK16y99tpp4cKFqbu78c1DMRJ4v/32S29+85vT8573vBTfxfuGN7whxf6/7W1vK/4w+aSTTkrPec5zUrw2Oq5f8YpXpCc/+cnFtk899dR05plnFscX+x7rbrTRRunqq69O3/72t1N0HK+22mpp9uzZ6a1vfWv61re+1Xafe4H8QKBiAs7T9TlPuy53XS7f5bs6oA6oA+qAOqAODFQH+o0AHmhlzysqioqiog6oA+qAOqAOqAPqQPXrQMX6RCp/ONttt126+eab0/HHH5/mzp3be7zR+RqdwPfcc0/61a9+VXTwxujf6Kg999xz0wUXXFA8Hi+IztUYFfyMZzyjmG+yySbFetHRu+eeexbbPO+884oO5h133DF9/OMfT9Gp/PjHPz4dccQRRWfxo48+Wrx+ww03TE94whPS61//+qIzeK211urdp/jh1ltvTX/+85+LzuTddtstxcjgeO/oSP7Rj36U/vrXv6YTTjghPfzwwymO7SUveUl67WtfW2wvbyjW/9vf/lZ0Fr/nPe9JRx55ZPriF7+YXvSiF6WbbropHXDAAcWq7fY5b8OcQNUEnJ+rf352He46XJ7Lc3VAHVAH1AF1QB0YbB0ovgN4sCtbT3FRXBQXdUAdUAfUAXVAHVAHql8HqtYpUvXjic7S6DiNUbq77LJL7+FG5+1vfvObtP7666fnPve5vR2mF110Ub+vAYoX3H777emhhx7qHa177bXXpg9/+MPpu9/9bvG6WGfOnDnFyN+YxxS1YMKECcVrYqRxrH/++ecXz+V/Jk6cmH8s5jFCN0YrH3300UWn9dSpU/s9Hwt5u495YhgPtNvnYWzGSwiUQsD5ufrnZ9fhrsPluTxXB9QBdUAdUAfUgcHWgeLTeKwckzkHcSAP1AF1QB1QB9QBdUAdUAciBkzlEYjv8n3605+eJk+eXHTi5j2PUbYvfvGLi9s7x2NxO+fceXvNNdcUI2b//ve/59V75z/72c/SwQcfXIzevffee9M3v/nN3ufa/RAd0Keffnoxmjg6kuNW1DEi+Yc//GFasGBBevDBB3tfFqOEZ86cmY455pi03nrrFY/H9uPW0zFSOW7lfNVVVxW3c47vK479+9rXvpbWXHPN4pbP22+/fXr5y19ePH/KKacUjz3yyCPFiOG4/fW//vWvtM466xTHlkcB9765HwjUQMB1nOu4CHNxIA7EgTxQB9QBdUAdUAfUga7VV199ef6LgSgKMVlu/AVBQ4OHeKhmPGjXararutUQEN/t45tLexd5I29CoKr5Mdzjah21mfPEfHwF4vt7DzzwwCHtRNxiOW7TvM022xS3h47v8637FN89PGvWrLozDOv4hxODw3ojLxqWwJIlSyp7Pssgwz2vVf31XFzn51/yR6yLh3rEg3auRztX/fzl+BoCg83nwa7HdWiuVfYqOoDzAZoTIECAAAECBAgQIEBAB3BnxoDOt9FpFx3Aw3cUg8O3WxWvjA5gEwECBAgQIECAAAECBEKg+A7gZormvxiLxy03holnIx48cixUIT/ysYhrcZ1joQpxLZ5XHs+5rTmt3IkPn5wrVaiL+ViGGtf5deYECBAgUA6BodZ561freidHqXatVrtqT+2ZczvmrfGQn2t93LK4ybHRLm7ER7njI7etdix3O66q9jMCOGeMOQECBAgQIECAAAEChYARwJ0ZCEZfdma71GmvxGBnt7YRwJ3dPvaOAAECBAgQIECAwKoU6B0BnHuczRt/OcCBQySiOBAH4kAeqAPqgDqgDtS1DkTsmwgQIECgPAJ1PV85btfrkaXiQByIA3mgDqgD6oA6oA70rwP9RgAHTnyRdJ4s8xAP1c0Hed4QUOfUuTrVOXkv70NA3atX3Rtu3hsBnOU6a270ZWe1Rx33Rgx2dqs3jwB2vne+j2gVB/WKA+1dr/bOZyTtXq921971bm953xCQB4PPg34jgOOX4IEXU0a0zEM8VDMftGs121Uddx5b2Xlb3st713eNi+SV5UnV6uhw8z5eZyJAgACBcgnU6fxWtfP1SI8nItV1Xv2u80YaN15f7t8fyHt1T92vX92X9/J+qHnfNXPmzKKHs/mkH4Fkue8igId4qGo+VPW4ImdjcnzqWP4lmHjoywd5IS/kReOP++pUF4aT90YAR4R03vTLX/4yveAFL+i8HbNHtREQg53d1IsXLy52cDh13/VB+a8PtLvrfHlc/jzOZ5nB5vNg1xvqdq3fEOCrrnZiXRWX4nIocTkxylkOGvNG8HDgEEkkDsSBOJAH6oA6oA6oA3WtA/mXPuadJfCtb30rxS14Iy5NBFa1QJwTIwZNnS1Q1/OW43bd7rrddbs6oA6oA+qAOqAOqAP960DvCODO/ghj7wgQIECAAAECBAgQWFUCkyZNWlVv5X0IECBAYJQE8gjgUdqczRAgQIAAAQIECBAgUGKB7uZ9j7+QaJ4s8xAPfQJVy4d8ZFU7LsejbuXYjrl46B8P2YZLfxcePHJuVLFu5GMbapzn15kTIECAQDkFhlr3rV/u66Ecpdqx3O2o/bRfzuWYDxQPed2B1vO8uMqxMpi4Ei+dHS+5LbVTZ7dTJ7WPEcA5a8wJECBAgAABAgQIECgEjAAWCAQIECifgBHA5Wsze0yAAAECBAgQIEBgrAR6RwDHvbFXNnmej/hYsUBZ86Os+51bwv6rSzkW2s3FR/v44NLeJccQHz45FtrNyxofI93vdhYeI0CAAIHOFRhp3ff6cl4PabdytluuJNpP++VYaDdfUXys6PG8Dc+LqxwL7ebio5zxod3K2W45B1d1+xkBnOXNCRAgQIAAAQIECBAoBIwAFggECBAon4ARwOVrM3tMgAABAgQIECBAYKwEunOPs3njLwc4cIhkEwfiQBzIA3VAHVAH1IG614HIARMBAgQIlEeg7uctx+/6PbJVHIgDcSAP1AF1QB1QB9SBRh0oRgAHRvMXE1vmIR76vki8qvlQ1eOKE3xMjk8dU8ceW8fkhbyQF4/Ni8ZZo7rnjeHmvRHAOTLMCRAgUB6BGAE83Lqfj9Lry3m9qN3K2W7yriEgfocXv9yG5ybv5F0IlDV/yrrf8m788q4YARy/DIzgiSkHkWUe4qHa+SDv1T11vn51Xt7Le3kv74dSB4oPB/4hQIAAgdII+H1OozOgjtc7Qzm/i5P6xkkUM+1fnfaX9z7f1/F8V/c6Ju/l/VDzvncEcP5E0xxE8ZjlvqDiIR6qlg/yviFQtXZ1POp2vhhod96S9/K+XVyoG9WuG8PJ+8mTJ+eXmRMgQIBASQTyCOC8u87v1T6/t7avdm8ItLpYrlce1K295b28D4G6xX3dj1fey/uh5H3vCODmF0USWe4rnjzEQ1XzoarHlf+i1fGpY/miUB3vq+PyQl7Ii8YvwepUF4aT9/EaEwECBAiUS8DnoL7bgdbxeieitY7HLe7rHfd1b395r+6p+z7fqwPqwMrqQNeMGTMa98KLSDERIECAAAECBAgQIFB7ASOAax8CAAgQKKHAokWLSrjXdpkAAQIECBAgQIAAgbEQmDgWG7VNAgQIECBAgAABAgQIEFg1ApO3WDNNefxaaeI609KENaesmjf1LpUUWPrQo2nJ7Pnp0ZseTIv+9VAlj9FBESBAgAABAgQIECBAoA4COoDr0MqOkQABAgQIECBAgACBSglMmDU1rfnS7dIa+26ZpmyxVqWOzcF0hsCj/3owzTn35vTQaTekpfcv6IydshcECBAgQIAAAQIECBAgMCiB4juAm9eM705onizzEA99AlXLh3xkVTsux6Nu5diOuXjoHw/Zhkt/Fx48cm5UsW7kYxtqnOfXmXeWwMSNZ6T1P/TM9PhzXpbWe/MuOn87q3kqtTfxhwURYxFr63/wGWni+tMrdXxVPJih1nnrV+v6J8e0dq1Wu2pP7ZlzO+at8ZCfa33csrjJsdEubsRHueMjt612LHc7rqr28x3AOWPMCRAgQIAAAQIECBAoBHwHcGcGQteUCWmTLz43zdhj087cQXtVaYGHf31ruuO9F6XlC5dU+jjLfHC+A7jMrWffCRAgQIAAAQIECIyuQO8I4NzjbN74ywEOHCLVxIE4EAfyQB1QB9QBdaCudSBi39Q5At093+272Sn76/ztnCap3Z7MfNZm6XEnPj91zZhUu2MvywHX9XzluF2vR46KA3EgDuSBOqAOqAPqgDrQvw50d3V1FRdJ5hwiOcSBOBAH8kAdUAfUAXVAHVAH4oOzqbME1vuvp6ap26/XWTtlb2onMG3H9dP673xa7Y67LAfs/O387Tredbw6oA6oA+qAOqAOqAPqQK4DxQjgvGCuOCgOioM6oA6oA+qAOqAOqAPqQFk6O+qyn2sesm1a65Dt6nK4jrPDBSIW1zjwCR2+l/XcPedv52/X8a7j1QF1QB1QB9QBdUAdUAdyHeiaPn16MSY4B0X+mGS5ESQ8GgLioZrxoF2r2a7qlroVAivK7xU9Lm7EzcriRnyUOz6Gk/e+AzhHfQfMJ3Wnx591aJq04YwO2Bm7QKAhsOiOh9NNB56W0qJlSDpI4NFHHy32Zjh1P35JlCevL+fnRO1WznaTdw0B8Tu8+OU2PDd5J+9CoKz5U9b9lnfjk3fdzcEewWO5L/l5iIeq50P+S5CqH6fjU9fyxZG63vhwxMH5TV2sV10czvk+YsTUGQIz/3Nznb+d0RT2oklg8sYz08y9N296xI+dIuC6t77Xu8M53/tc4HNB1C51o7x1Q943RnqKY3lcpzom7+X9UK7fekcAd8qHFftBgAABAgQIECBAgMD4CkyZMmV8d8C79wps9Nm90xr7btW77AcCnSIw59yb0p3vu6hTdsd+9AjkEcAwCBAgQIAAAQIECBAgUIwAxkCAAAECBAgQIECAAAECnSXQNW1SmrH7Jp21U+O4N0vnLUr/OvpX6Y+7fT395aBT08N/vnNYe/PPd5+dZv/0+mG91ov6BGbsvmlKExuj5/oe9RMBAgQIECBAgAABAgQIdILAxE7YCftAgAABAgQIECBAgAABAv0FJq0/PU2YYTR2VvnbkT9Lk9aelnb8xavSonvnpaWPLMpPDTi/76y/Fa/Z6HW7pE3f8Yw0cc2pA77GCisXmDBjcpq86Rpp0b8eWvmKniVAgAABAgQIECBAgACBVS7QHfcMj8mcgziQB+qAOqAOqAPqgDqgDqgDuQ5ELJjGV2DCzMnjuwMd9O6L7puXHrr4X2nTtz89TV5vRpqx/fppjd02TQ9cdFO6ep9T0h92/Er657vOTsuXLEs3vOEn6a+vPC1dc8D3080fuSDN+f2/078+dlG66+Sr0r2nX5v+9fGL0r0/vjbd8a0r0zUv+G66/jU/Tte++AdpyZyF6bYvXJr++c5fFkf+p71OTA/86qb0wAU3pr8c+P10zf7fSzf/z4Vp+dJlHSQzvrsiRsfXv/Xdc/02dz0XsSEOxIE4kAfqgDqgDqgD6kC960B38xcGR0Gw3LiFFQcO8kE9UAfUAXVAHVAH1IE614E4dtP4Cix7dMn47kAJ3v2Wj1+cNnj1TmmnC16XHvnL3emB8/9Z7PXkDWam7U4+ON11yp/S9G3XTWvusVla90VPTOsdskO/o1q+eFna5usHpiVzH01zfndbv+fywi3HXpymPWGdtNbeW6b5/7w/LbztofxU7editLNCwHWL65aISHEgDsSBPFAH1AF1QB1QB9SBqANGABsBHXHgL0PFgTiQB+qAOqAOqAPqgDrQrw4UC/4ZV4El9y8Y1/fvpDefvM70tOZeW6R/f+V3aemCxenRO+amuVfcXuzihGmTU+tI1OlPXDd1T55QPL98Wc+I3e6utGzR0scc0mpbrJUmTJ2UuqdMTMuXLU9dk7qL9ZYtXpqWPLSwd/0ZT9kwbfLW3dIaT9+0uA117xM1/0GMdlYAGOFR7xEe2l/7R0USB+JAHMgDdUAdUAfUgVwHunMwxF8ExIOtc883gqXVJS/z4dMub8oSH3k/W+fiWlyXOa7F78rjtzXf8zK3lbvx4VPmupjzvHW+sriO50zjL7Dkvvn9OiHHf4/Gdw+e8JUD0oIb70+/3/qL6e9v+Xnx+XXz/9kr3fKJS9Lvn/ClNP2J66W199m67U7G7aLv+Nrv0+1f/V3b5/OD6+y/bVpw8wPpxnefU3QGx+Obf2Sv9O8vXV7cWrqrpyN54hqr5dVrPV/aM2p66X3+SKHTgqDM56uwtP+P/b1cPn8P5JPXa50P9DrPizt5N/y8G+/8ac33vDze++X91RV1ZezqSs7z1rm8k3dt827atGnLW4PFcvvOcC5c2ibRCv54QryIF/Gy4osd+SE/5If8UAc6uw6stpoOrvgA3QnTxl9+blp97807YVfsA4F+AnPOvSnd+b6L+j1mYXwFFi5c+Jg/6ne+7ezzrfbRPj4X+VykDqgD6oA6oA6oA2NVB7qiA3h8P6J4dwIECBAgQIAAAQIEOklAB3DntMbar9w+rf++p3fODtkTAv8ncOdHfp3m/PwfPDpIIDqATQQIECBAgAABAgQIEAiB4hbQmSL+0qB5ssxDPPQJVC0f8pFV7bgcj7qVYzvm4qF/PGQbLv1dePDIuVHFupGPbahxnl9nPv4CD/3072nJA26zO/4tYQ+aBZY8uCDNveBfzQ/5ucMEhlr3rV/u66Ecftqx3O2o/bRfzuWYDxQPed2B1vO8uMqxMpi4Ei+dHS+5LbVTZ7dTJ7WPEcA5a8wJECBAgAABAgQIECgEjADurEBY85Bt04Yf2aOzdsre1FrgrmN+mx46/W+1NujEgzcCuBNbxT4RIECAAAECBAgQGB+BfiOAx2cXvCsBAgQIECBAgAABAgQIrEjgwdNvSHMuuHlFT3ucwCoVePjiW1LEpIkAAQIECBAgQIAAAQIEOldAB3Dnto09I0CAAAECBAgQIECAQOrq+e+uD16S5l9zDw0C4yow/y/3pNvf+6siJsd1R7w5AQIECBAgQIAAAQIECKxUoHv58uXFCq3z/KrWx/Oy5xsC2aN1zodPCLTGRV7u1Pjo1P3qdDf71ziPiJ+GQI6H1nmn+nTqfmU/+1fOuNJ+nV0XB5tXeT3zzhBY/ujSdOtrz0wPnuG2u53RIvXbi/tPvbYnBs9KadGy+h18SY44n39b53n3Wx/Py55vCGSP1nlZfcq639nf/lczLrXv2H5OkDfyJgRynrXOxUc140O7VrNdc/6OtH2L7wCOjTV/MbFlHuKh74vEq5oPVT2u5qIojqsfx9q77yJnMPEu753fBxMn8mpoedXpXsPNe98BnFu2M+cz99syrf/Op6VJG8zozB20V5USWHzPI+mez/4+PXzBvyp1XFU8mPgO4OHW/ezh9eW8XtRu5Ww3edcQEL/Di19uw3OTd/IuBMqaP2Xdb3k3fnlXjACOXwZG8MSUg8gyD/FQ7XyQ9+qeOl+/Oi/v5b28l/dDqQPFhwP/dKTAw+fcnG564elp9glXpUf/9WBH7qOdKr9AxNbsr1+VbjrgdJ2/JWlOv89pdAbU8XpnKOd3cVLfOIlSpv2r0/7y3uf7Op7v6l7H5L28H2re9xsB3HwRkIPJvBFUHDjIj76LZPkgH+SDfFAH1AF1oNp1wAjgkvT2/N9uTt5izTRlq7XSxHWnpQlrTinXztvbjhJY+tCjacl989OjNz6YFv3roY7aNzszsEDzCGDn6Wqfp7Wv9vV5zOcxdUAdUAfUAXVAHRiwDkydOnX5gCv93whh6ykqioqiog6oA+qAOqAOqAPqQPXrQM9nhIF7GqxBgAABAh0lsGDBguLrvZynq3+edj3uelyey3N1QB1QB9QBdUAdGKgOdEUHcEd9YrEzBAgQIECAAAECBAiMq4AO4HHl9+YECBAYlkB0AJsIECBAgAABAgQIECAQAt3xT/ylQPNkmYd46BOoaj5U9bhyyzk+dSzHQszFQyMeOMgLedEnUJd8GOlx9on5iQABAgTKIDDSuu/15bxe1G7lbLdcU7Sf9suxEPPBxsNg18vbtr44y7EwlDjLrxE/nRE/2qEz2qFMeWEEcG4tcwIECBAgQIAAAQIECgEjgAUCAQIEyidgBHD52sweEyBAgAABAgQIEBgrge64R3TzZJmHeOgTqHo+5COt+nE6PnUtx3rM6x4P2aLuDo5fXci5UIe6kI91qHGfX2dOgAABAuUQGGqdt361rodylGrXarWr9tSeObdj3hoP+bnWxy2Lmxwb7eJGfJQ7PnLbasdyt+Oqaj8jgHPGmBMgQIAAAQIECBAgUAgYASwQCBAgUD4BI4DL12b2mAABAgQIECBAgMBYCfSOAM49zuaNvxzgwCGSThyIA3EgD9QBdUAdUAfqWgci9k0ECBAgUB6Bup6vHLfr9chScSAOxIE8UAfUAXVAHVAH+teBYgRwoMQXSOd5JEpMebl13njW860ueZlPQyB7tM75dKaPdunMdsn5o320TwjkeGidDzc+hvu6/P5e3xDIHq1zPnxCoDUu8vJ4xcdg39cI4CxlToAAgfIIxAjgfJ7J87z3ebl17vmGQKtLXi6rT1n3u+zu9r/x+2XxNz51hfv4uMt7eR/9annK8dA6H6vnx2q7ef9tvyGQPVrnZfApRgA3d/7GQcTUejDNy57n0xwP4qfvjyfKnD/yWl7L6/5/DNXsUdX8qOpx5fOS41PXmvM4x0We1zU+BnvcsZ6JAAECBMol0O68F0fQ7vG6nw+rfvzaXdzLe5/vc53Lc3VBXVAXqlcX5LW8Hiivu1ZbbbWix7f5ZBCBY7nRqRcWMfHgEcmUp6rEQ1WOo2rt4ngaAuJzbOou17FxlbfyNgQ6Nb+Gs19GAOesNidAgEB5BObPn1/s7HDqfhU/7+aWq4tHXY6zbu3qeBsC4rv951gu7V3kjbwJgarmR1WPS96OTd52NydDBI/lvuLAQzxUPR/yX4hU/Tgdn7qWL47U9caHIw7Ob+pivericM73ESMmAgQIECifgOve+l7vDud873OBzwVR5dSN8tYNed93+2FxXN44VoeGVoflvbwfyvVb7wjg8n2ssccECBAgQIAAAQIECIyFwLRp08Zis7ZJgAABAmMokEcAj+Fb2DQBAgQIECBAgAABAiURKEYA533NPceWGwI8Gn8JKR6qGQ/atZrtqm6pWzm3Y94aD/m51scti5scG+3iRnyUOz5y2w61HfPrzAkQIECgnAJDrfvWr+f5XruXu921X73bL5+dxEG940D716v95X1DQNwPPu6NAM5ZY06AAAECBAgQIECAQCFgBLBAIECAQPkEjAAuX5vZYwIECBAgQIAAAQJjJdA7AjjuHd48WeYhHvoEqpoPVT2u3HKOTx3LsRBz8dCIBw7yQl70CdQlH0Z6nH1ifiJAgACBMgiMtO57fTmvF7VbOdst1xTtp/1yLMR8sPEw2PXytq0vznIsDCXO8mvET2fEj3bojHYoS14YAZxbypwAAQIECBAgQIAAgULACGCBQIAAgfIJGAFcvjazxwQIECBAgAABAgTGSqA7/8WAeeMvBzhwiGQTB+JAHMgDdUAdUAfUgbrXgcgBEwECBAiUR6Du5y3H7/o9slUciANxIA/UAXVAHVAH1IFGHShGAAdG8xcnW+YhHvq+SLuq+VDV44oTfEyOTx1Txx5bx+SFvJAXj82LxlmjuueN4ea9EcA5MswJECBQHoEYATzcup+P0uvLeb2o3crZbvKuISB+hxe/3IbnJu/kXQiUNX/Kut/ybvzyrhgBHL8MjOCJKQeRZR7iodr5IO/VPXW+fnVe3st7eS/vh1IHig8H/iFAgACB0gj4fU6jM6CO1ztDOb+Lk/rGSRQz7V+d9pf3Pt/X8XxX9zom7+X9UPO+dwRw/kTTHETxmOW+oOIhHqqWD/K+IVC1dnU86na+GGh33pL38r5dXKgb1a4bw8n76dOn55eZEyBAgEBJBPII4Ly7zu/VPr+3tq92bwi0uliuVx7Urb3lvbwPgbrFfd2PV97L+6Hkfe8I4OYXRRJZ7iuePMRDVfOhqseV/6LV8alj+aJQHe+r4/JCXsiLxi/B6lQXhpP38RoTAQIECJRLwOegvtuB1vF6J6K1jsct7usd93Vvf3mv7qn7Pt+rA+rAyupA15QpUxr3wotIMREgQIAAAQIECBAgUHsBI4BrHwIACBAoocC8efNKuNd2mQABAgQIECBAgACBsRCYOBYbtU0CBAgQIECAAAECBAgQGFuBJz/5yWn//fdPf/vb39LkyZPTr3/963TnnXcO6k1f9KIXpVtuuSX9+c9/7rf+euutlw466KD0rW99q9/jVVx461vfmtZee+308MMPpxNOOCEtWrSo32G+973vTS984QtT3Fb3O9/5TpowYUKaO3du+sUvftFvvdFceOc735m22mqr9La3vW3AzcZ6X/rSl9LUqVPT3XffXbxmzpw5A76ueYWtt946HX744ekjH/lIGsp7N2/DzwQIECBAgAABAgQIECDQeQI6gDuvTewRAQIECBAgQIAAAQIEBiVwww03pJ/85Cdp0qRJ6X3ve1/64he/mBYsWDDga6PDcPbs2WmnnXYqOhAvv/zyAV9ThRUOPvjgdOmllxZeN910U/ra176WXvziF6ftttsuXXPNNf0OMTp/99hjj+Kx6Gxvfb7fyqO0sNdeexWdzoPZ3Etf+tJ0+umnp+9///spOnIHO62xxhrpk5/8ZIoO8H/+859F52+8dijvPdj3sh4BAgQIECBAgAABAgQIjI/AxObvSohdsNz33Rk8xEPV8yGXnaofp+NT1+K7EPJU93jg0BCoexw4/nrVxeHmfX6deTkEFi9enKIz+ElPelJasmRJevazn526u7uLDr4zzzyz6OSLEb8bbbRR+tnPfpZ+97vfFZ2g0fk5ceLE9MADDxQjieNo119//RSjX9dZZ530sY99LD3+8Y8vOkLj1uAnn3xyetnLXpZ+9KMfpfvvvz+9//3vTyeddFI64IADUtx+Nrb1v//7v8Xnyp6vG0oveMELis7VGGl89tlnP2Y//v73vxfAe++9d9p5552LEbYx+jg6XKMDNqbvfve7aa211uq3vMsuu6QtttgiLVu2LF100UXpoYceKjowY91Xv/rV6Ve/+lWxTwsXLixGR992223p6quvLjq8Z86cWYziPffcc4sRwLGdGD3dOoVJdBCfdtppxfNHHnlkYfunP/2pcPnXv/6Vpk2bVrx/dKr+53/+Z7r99tuLfX3Na15TbO7d7353MSr7hz/8YTrrrLOKEdunnHJKMao4rk9mzZpVjMB99NFHi+c222yzdPTRRxeGYb/aaqsVHfXRWRsucZxxHHGcf/nLXwr/2EYsx+jf8847L8WxxmjlGA3+4Q9/uDAPz6VLl6ZTTz21+I7Q3XffPX30ox8t2jHa+qc//WmK9z722GPTU57ylGJfYp2XvOQl6aijjmqlsdyhAs7v9Tq/t7Z3DsvWxy3XOy60f7XbX943BMR5teNc+/ZvX3kv70NgsHnR3fxL8Xih5b5OAh7ioer5EDEeU9WP0/Gpa41Ib/xb93jIFnV3cPzqQs6FmFc9HvKxDvU48+vMyyUQnb7Pec5z0vHHH1+MBo7O27hFcHQkRqdtdIw+4QlPKA4qOo2vuuqqFB2acRvpPMXjn/vc59L1119fdBjfd9996a677krRmbrbbrsVI2ijczA6Fa+99tq07777Fp2L0Rm75pprFq+JbUWnZnRY/uMf/yg6pOOxdvsRj8do5BiRGx3UW265Zdpvv/3Spz/96XTMMccUHZrNy7E/m266aXF8X/3qV9M+++wTm2g7XXbZZel73/te0TEex3Drrbemc845Jz344IPF+tG5GZ2msc3WKW6F/eMf/7gYIfzZz3629+no3I2R1u94xzsK2/xEjBCO2yhvuOGG+aEVzn/729+mt7zlLenGG28s/GLF6CD+97//XXTMRmdzvEfcqjtcooM9pmi/6OyN6Ze//GXReRx2cVvqzTffvOhQjtG9r3vd69JTn/rU4nbSMbo5OnJf+9rXpte//vXFuvE+0dGcp3jv6DiODuPoxH7a056W/uu//qvo8M/rmHe+wFDrvPWrdT2UI1S7Vqtdtaf2zLkd89Z4yM+1Pm5Z3OTYaBc34qPc8ZHbVjuWux1XVft1R09xTOYcxIE8UAfUAXVAHVAH1AF1QB3IdSBiwVQegbgFdIz+/etf/9p2p2N0bnzHbXTuDvRhM0a+xhQduLHuYYcdVowajs7e+K7h6OjcdtttezuDY90rrriiuB3xH/7wh2I0cTwW+zNjxozi8egcjqndfsRo1Rg9G6NQ49bUcSxDnWLUc4w+jilG4+YpjqX5u30jvqOTPE8nnnhi0Ymdl/M8Rgk/4xnPSBdffHH60Ic+VIxOzs/FPEbTtk6x7zGFcZ7iveN44hjj+4ZHOuUR07GdZz/72YXXD37wgxS38N5hhx0GvfnWGIgX5sdipHGMBA7HGGVsKo9Art/mruciasWBOBAH8kAdUAfUAXVAHah3HZgYH/IiCMw5iAN5oA6oA+qAOqAOqAPqgDoQdcBUHoEY3RnfBRu3W/7Od75TdLBeeOGFKUaQxncBx+jRlX0ncNzGOEaF3nHHHam5c7FZIEbHvvKVryw6f3PncIykXW+99YrbDsetlI844oii8zk6PP/4xz8WL7/nnntSjKKNUb/RQbuiKTpT41bKMUo1d97GNuM7jWOkbozQbV2OEawxyjVed/755xcjlB/3uMcV22ju4G19zxhx+/KXv7ywitHJ+++/fzrhhBNaVytGO7/qVa8qbvUc+x8jqnMHbjjHCOnrrruu6CR/zIubHoiRvscdd1wxKnju3Lm9z+y5557FKOe4ffPHP/7x3sfzD9/4xjeKTthon7gVd4wGzqOA8zrRGR+3847O5TiW6LSNW0XHyN7Y5xjZHe0f7Rq3so7R2XG77piibWKEdXQet07xujgXxG2rTeUScB3nOs51nOs4dUAdUAfUAXVAHVAH1IHeOtDzoXF574LOYJ3h/hjAH0OoA+qAOqAOqAPqgDpQ+zoQozZNBAi0F4jbI0eH+29+85uigzhGP8f3Gw92iu8Ajk7a+E7m0Z7y9wyPZLvx+4H4juhnPetZA3Zwj+R9vHb0BR555JHan7/8fssvvf3S2y+91QF1QB1QB9QBdUAdaNSB4h5ZzRjxEcRyX5HkIR6qnA/5ZCjOxXmV41x8949ved+4CBYX/eOCR7U9hpP3ERMmAnUWiNHH73//+9sSxO2voxM3RhLH9/3G9wPff//9bddtfTBG/OZpsK/J6w80H41txzae//znF7eUjluAx/c35++MHuj9Pd8ZAq7r6/v7nOGc7yNeYhI39Y0b7V/u+Jf3Pt+r4/U7j8l7eT+kvDcCuO8iLyePub8Qaf7wIx7Eg3hQJ9UBdUAdUAfqVgeMAC5+H+4fAgQIlErACGDXK3W7XnG8Pqf5nKbuqQPqgDqgDqgDK64DXdEBXKpPNHaWAAECBAgQIECAAIExFdABPKa8Nk6AAIExEYgOYBMBAgQIECBAgAABAgRCoBsDAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRDQAdwNdrRURAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQCB1xz3SYzLnIA7kgTqgDqgD6oA6oA6oA+pArgMRCyYCBAgQKI9Art/mruciasWBOBAH8kAdUAfUAXVAHah3HfAdwFEFTQQIECBAgAABAgQI9Ar4DuBeCj8QIECgNAK+A7g0TWVHCRAgQIAAAQIECIy5gBHARkAXQeYvQer9lyDaX/tHIRAH4kAcyAN1QB1orgPxs4kAAQIEyiPgPO48HtEqDsSBOJAH6oA6oA6oA+qAOhB1oGvSpEmFRFdXV3GR2DqPlWJqfTwvN571fPZonfNpCLS65GU+4+uT26F1rl3Gt1348w+B1rzMyyONj7yd1vlIt+v1DYFW17zMh08I5HhonY91fLS+X15e2fsaAZx1zAkQIFAegYcffrjY2VznW+f5SFofz8uebwhkj9Z5p/u07m9e7vT9tn/ljjvtN77tl/O8da5dxrdd+PMPgda8zMsjjY+8ndb5SLfr9Q2BVte8XFaf7tjxfBDt5p7n0y4u4i9I4nHxUe74yO3YOteu5W5X7af9Vla3W/M9L4sbcbOyuBEf5Y6PnOet85W1azxnIkCAAIHyCTiftx/cUIffX7Se5/NyRLG4qG9caP9qx3/O89a5dq92u2vferdva77nZXFR77hYUfv3jgCOFUwECBAgQIAAAQIECBCYOXMmBAIECBAomUAeAVyy3ba7BAgQIECAAAECBAiMgUAxAjhvN/9FpOWGAI/GCF/xUM140K7VbFd1S93KuR3z1njIz7U+blnc5NhoFzfio9zxkdt2qO2YX2dOgAABAuUUGGrdt349z/favdztrv3q3X757CQO6h0H2r9e7S/vGwLifvBxbwRwzhpzAgQIECBAgAABAgQKASOABQIBAgTKJ2AEcPnazB4TIECAAAECBAgQGCuBfiOAx+pNbJcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIExl5AB/DYG3sHAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIrBKB7uXLlxdvZM4hAkEciANxIA/UAXVAHVAH1AF1IOqAiQABAgTKJeD87fwdESsOxIE4kAfqgDqgDqgD6oA6EHWg+A7gCIbmL062zEM89H2RdlXzoarHFYUtJsenjqljj61j8kJeyIvH5kXjrFHd88Zw8953AOfIMCdAgEB5BOI7gIdb9/NRen05rxe1WznbTd41BMTv8OKX2/Dc5J28C4Gy5k9Z91vejV/eFSOA45eBETwx5SCyzEM8VDsf5L26p87Xr87Le3kv7+X9UOpA8eHAPwQIECBQGgG/z2l0BtTxemco53dxUt84iWKm/avT/vLe5/s6nu/qXsfkvbwfat5356AxbwQPBw7NF8PiQTyIh74PR/JBPsgH+aAO1KcOlKa3w44SIECAQK+A83R9ztOuy12Xy3f5rg6oA+qAOqAOqAMD1YF+I4AHWtnzioqioqioA+qAOqAOqAPqgDpQ/TrQ25vgBwIECBAojYDzc/XPz67DXYfLc3muDqgD6oA6oA6oA4OtA10TJ05s3AuvNB9p7CgBAgQIECBAgAABAmMpsPrqq4/l5m2bAAECBMZAYO7cuWOwVZskQIAAAQIECBAgQKCMAt2x0/EXA82TZR7ioU+gqvlQ1ePKLef41LEcCzEXD4144CAv5EWfQF3yYaTH2SfmJwIECBAog8BI677Xl/N6UbuVs91yTdF+2i/HQswHGw+DXS9v2/riLMfCUOIsv0b8dEb8aIfOaIcy5YURwLm1zAkQIECAAAECBAgQKASMABYIBAgQKJ+AEcDlazN7TIAAAQIECBAgQGCsBIrvAG7eeNw7unmyzEM89AlULR/ykVXtuByPupVjO+bioX88ZBsu/V148Mi5UcW6kY9tqHGeX2dOgAABAuUQGGqdt361rn9ylGrXarWr9tSeObdj3hoP+bnWxy2Lmxwb7eJGfJQ7PnLbasdyt+Oqaj8jgHPGmBMgQIAAAQIECBAgUAgYASwQCBAgUD4BI4DL12b2mAABAgQIECBAgMBYCfSOAM49zuaNvxzgwCGSThyIA3EgD9QBdUAdUAfqWgci9k0ECBAgUB6Bup6vHLfr9chScSAOxIE8UAfUAXVAHVAH+teBYgRwoMQXSOd5JEpMebl13njW860ueZlPQyB7tM75dKaPdunMdsn5o320TwjkeGidDzc+hvu6/P5e3xDIHq1zPnxCoDUu8vJ4xcdg39cI4CxlToAAgfIIxAjgfJ7J87z3ebl17vmGQKtLXi6rT1n3u+zu9r/x+2XxNz51hfv4uMt7eR/9annK8dA6H6vnx2q7ef9tvyGQPVrnZfApRgA3d/7GQcTUejDNy57n0xwP4qfvjyfKnD/yWl7L6/5/DNXsUdX8qOpx5fOS41PXmvM4x0We1zU+BnvcsZ6JAAECBMol0O68F0fQ7vG6nw+rfvzaXdzLe5/vc53Lc3VBXVAXqlcX5LW8HiivuyZMmFD0+DafDCJwLDc69cIiJh48IpnyVJV4qMpxVK1dHE9DQHyOTd3lOjau8lbehkCn5tdw9ssI4JzV5gQIECiPwJw5c4qdHU7dr+Ln3dxydfGoy3HWrV0db0NAfLf/HMulvYu8kTchUNX8qOpxyduxydvu5mSI4LHcVxx4iIeq50P+C5GqH6fjU9fyxZG63vhwxMH5TV2sV10czvk+YsREgAABAuUTcN1b3+vd4ZzvfS7wuSCqnLpR3roh7/tuPyyOyxvH6tDQ6rC8l/dDuX7rHQFcvo819pgAAQIECBAgQIAAgbEQWGONNcZis7ZJgAABAmMokEcAj+Fb2DQBAgQIECBAgAABAiURKEYA533NPceWGwI8Gn8JKR6qGQ/atZrtqm6pWzm3Y94aD/m51scti5scG+3iRnyUOz5y2w61HfPrzAkQIECgnAJDrfvWr+f5XruXu921X73bL5+dxEG940D716v95X1DQNwPPu6NAM5ZY06AAAECBAgQIECAQCFgBLBAIECAQPkEjAAuX5vZYwIECBAgQIAAAQJjJdA7AjjuHd48WeYhHvoEqpoPVT2u3HKOTx3LsRBz8dCIBw7yQl70CdQlH4ZznMuWLeuD8hMBAgQIdLxAc90eTt1vPkCvL+f1onYrZ7vl3NN+2i/HQswHGw+DXS9v2/riLMfCUOIsv0b8dEb8aIfOaIey5IURwLmlzAkQIECAAAECBAgQKASmT5+eJk6cSIMAAQIESiKwZMmSNG/evJLsrd0kQIAAAQIECBAgQGCsBbrzXwyYN/5ygAOHSDpxIA7EgTxQB9QBdUAdqHMdePTRRyMFTAQIECBQEoGo23U+b0UzOX7X7+JAHqgD6oA6oA6oA+qAOtBXB4oRwJEUzV+cbJmHeOj7Iu2q5kNVjysKfEyOTx1Txx5bx+SFvJAXj82LxlmjuueNkeR9jACePHlymjBhQuru7v3mmExmToAAAQLjLBC3fV66dGlatGhRihHAMY2k7nt9ef20u+t81/mu89UBdUAdqH4dkOfyfMh53vPLnOXxohw85o0g4sBBXqgL6oA6oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgDZasDvSOAiz8VbfNPDuo2TxUPeb4R9HzaC4iPzo6P9q2WijsCRDFb0aRdO7tdtY/2WVn+yuv2AvJG3qwsb8oeH+2j3vm+7O1q/9WtldUted9eQN7Im5XlTdnjo33UO9+XvV3tv7q1srol79sLyBt5s7K8KXt8tI965/uyt+tY7X/xHcCx8ZjazSNZ2j2e1/c8H/FR3vzJedw6l9fyWl6XN68Hyt/WfM/LA73O8+qCulDeupDzvHUur+W1vC5vXg+Uv635npcHep3n1QV1obx1Ied561xey2t5Xd68Hih/W/M9Lw/0Os+rC+pCeetCzvPWubyW1+3yuituAR3BYiJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBcgt0l3v37T0BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIZAEdwFnCnAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAiUXKL4DuPkY4l7hzZNlHuKhT6Bq+ZCPrGrH5XjUrRzbMRcP/eMh23Dp78KDR86NKtaNfGziXJznWKhinIvv/vGd25pLfxcePHJuVLEO5mMT5+I8x0IV41x894/v3NZc+rvw4JFzo4p1MB+bOBfnORZWFudtvwM4gid/YXDzRvLPnucjPhpfFJ9zonle1vwo635ne/uvLqlLQ69L8kbeyJuh503ZzzvyXt7Le3mf61ieqwvqgrpQvbogr+W1vK5eXg903pb38l7ey/tcJ/JcXVAXekcARzDElIOieTk/nudRTDzf55Vd8pyP+ChjfohbcVvGuFV3R3belvfyXt7X73pO3st7eS/v8/VTnqsL6oK6UL26IK/ltbyuXl4PdN6W9/Je3sv7XCfyXF1QF7pzEJg3goEDhzhZigNxIA7kgTqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOlLEOFCOABa/gLWPwiltxK25dfKkD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDrQvw705ERXY2x8jAtvmnKyND3U70fPN5KpH0rTAh8+UWxWNHVqfHTqfmVH+yevyphXnR6/8kpeyavyna9HWlfkvbyX9/I+15E8VxfUBXWhenVBXstreV29vB7ovC3v5b28l/e5TuS5ulDvutAdgRBB0DqPYtHu8bye5/mIj8fmTdnzQ17La3ldvbweqC7Je3kv7+V9rhN5ri6oC+pC9eqCvJbX8rp6eT3QeVvey3t5L+9znchzdUFdUBeqVxfktbxeWV73PNd+BHCcGEwECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUB6BYgRweXbXnhIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAigR0AK9IxuMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAomUB33CM8JnMO4kAeqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPlrgO+AziqmIkAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIVEDAC2AjoIoz9JUe5/5JD+2m/SGRxIA7EgTxQB9QBdUAdUAfUAXVAHVAH1AF1QB1QB9QBdUAdUAfUAXVAHShioOef5T1DgSMjHjOPx9o9ntf3PB/x8di8KUt+5P1snctreS2vy5vXA+Vva77n5YFe53l1QV0ob13Ied46l9fyWl6XN68Hyt/WfM/LA73O8+qCulDeupDzvHUur+W1vC5vXg+Uv635npcHep3n1QV1obx1Ied561xey+t2ed3z2IqDvTWILLfvJOfCRR6pI+qAOqAOqAPqgDqgDqgD6oA6oA6oA+qAOqAOqAPqgDqgDqgD6oA6oA6oA51QB7oiEHv+NxEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAyQW6m/e/p0e6eTFZ5tEcEOKhWvGQ21a7Vqtdtaf2zLkd89Z4yM+1Pm5Z3OTYaBc34qPc8ZHbVjuWux21n/bLuTyYOp3XFTfiJsfCYOJGvJQ7XnJba8dyt6P20345lwdTt/O64kbc5FgYTNyIl3LHS25r7VjudlyV7RdSRgDnzDEnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAiQUmrr322iXefbtOgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAlmg3y2g84PmBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA+AR3A5Wsze0yAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIG2AjqA27J4kAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAuUT0AFcvjazxwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEGgroAO4LYsHCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUD4BHcDlazN7TIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbYCOoDbsniQAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC5RPQAVy+NrPHBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaCugA7gtiwcJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQPgEdwOVrM3tMgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBtgI6gNuyeJAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLlE9ABXL42s8cECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBoK6ADuC2LBwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA+AR3A5Wsze0yAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIG2AjqA27J4kAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAuUT0AFcvjazxwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEGgroAO4LYsHCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUD4BHcDlazN7TIAAAQIECBAgQIDACAQ22WSTdPjhh6cPfOADaffdd0+vetWrere29dZbp80226x3ufWH/PxTn/rU1qeK5alTp6Y99tij7XMDPRiv3WGHHVa62uMe97i08cYbr3Cdww47rHhu0qRJ6WUve9kK11vRE7Htt7zlLemlL31petrTnlasdsABB/QavfCFLyzs4vk11lgjHXLIIenoo49OL3rRi9J//Md/pNe//vXpxS9+cdpqq63Sq1/96uL1G264Ydp3330fs60V7UPr4/mY4vHsHo9NmDChddXe5Q022CC96U1vSoceemh6+ctfnlZbbbXe5wb6Iezide2mj3zkI8UxP+MZz+h9OsdE7wND+OHxj398ete73lV4h1nzFPs9ffr0YcdT87ayYWvsN68zkp+f97znpT333LPYxIEHHlgYPec5zxnUJkfi1+4NXvnKV7Z72GMECBAgQIAAAQIECBColcDEWh2tgyVAgAABAgQIECBAoPYCt99+ezr77LNTdOJdeuml6clPfnLRadnd3Z1uvPHGNHny5LT//vunm2++OZ1zzjlFJ9xrXvOaYvnuu+8uOh7322+/ogN0zpw56QlPeEJatmxZOu2009KSJUuKDtroKJ0yZUq64oor0q233pqiA+6RRx5J66yzTvrlL39ZvF9sP95z+fLlRZs89NBDaa+99koxf/azn11s87rrrkvRIRmdg7fcckt60pOelCZOnJjOOuusFJ1u8b7nn39+2meffVLsy8yZM3vbNzqyo4N2wYIFxXp//vOfi9dfe+216YEHHig6Hi+55JLe/Y/32nHHHdMpp5xSvCZvKDohY59WX3314qGwi47iOO7TTz89TZs2Lf30pz9Nb3zjG9O3v/3t/LJi/+L9Z8yYke66667i8eZtzZ07N0WHZHQwh9XXvva19M53vjPdd999KfYl3iM6eaPTO6ZYJ7vHchzzNttsk/7f//t/xeNhEbbx+uh8/N73vpd22223tMUWWxTb2mmnndLChQvT/fffn/71r3+lZz7zmbGZ9Ic//KHoWI62COcvfelLxePR2dzctkuXLk233XZbccwRD5tvvnmaP39+cWyLFi1K//mf/5m++93vFuaxL9FB/te//jXFc7n9tt9++3TyyScXnfOx3zH98Y9/TL/73e+KGGnex3gu3jMcdt111xVuI54frGFz7Eesv/a1ry1iI9yiUz9icu211y5iadasWSnaKOLvb3/7W7EP0S5XXnllig727HfVVVcVzpdffnnscpEvN910U4p4i/WizXLb5PfYaKONCodXvOIV6frrry+ef+ITn1jE7zXXXFP8MUG8Jt4vllvjJDrNY18jtu+444608847F20RxxTT85///OL9I18i3u+5557icf8QIECAAAECBAgQIECgLgJGANelpR0nAQIECBAgQIAAAQJtBaJj9owzzkgxAjemRx99NEVH2brrrlssRydf8/LixYuLDsQLL7yw6DiMDr7o5IwOszz985//LDpGo3M0T7F+dNzusssuRcfVueeeW7xHdDJHx3B0st1www1FR2dsK3ccRsfYj370o6KjMtb59a9/XXTGRWdz/B8jdaPj62c/+1nRkZbfLzq9ooM2OvTivaNTOd4nd4bFMUVnaPN75dfmeXSOR6fymmuuWYyWjsejcy22c/XVV+fV2s7nzZtXvH8cZ0ztthWd39E5HO8RHY2xTz/+8Y+LTs94LH6OfYwp2iU6buNYYop5dGTHyONsseWWWxbPdXV1FfOLL7646LSNTuB777238I9O3XhNOEZndowCj/eKGIiO7jxFB3Br20ZndHS2XnbZZcVq0XaxTnRWRmfk05/+9KKd4r1iW9EJ39x+8bq999672O/c8R+du8997nOLjsrmfcz7EfOVbWMohs3bbHWL/c9tFX9UEB3iEVO5XaLzPDq1Y2r2i0726Iy94IILiuci5qLN4g8CVvQe0TEez0X75SnyLf6IIjq9W2Oy9RibYzteHx3FP/zhD9N2221XbK5dvOf3MSdAgAABAgQIECBAgEAdBHQA16GVHSMBAgQIECBAgAABAisUiM67mHKHXIxSjVHAMY9prbXW6rccj0XHVYzWjdGQMSI3Oq2aO7OigzQ6LGOep+j4i5HFMWIyOixjio6yGCUbnYXRER0dhtFxGo9HB9zs2bOLTuG4HXB0FEYH4bOe9axi1Gg8H+8dIyRjJOxBBx1UvCa/33rrrZcOPvjgYjRndFLGFKMy8xT7HKOTm9/roosuSkcccUTxuhhVGSNWY1Tv97///WI0Z7w2Ok1/9atfpegIb55iP4488sjitZtuumnzU8XP7bYV+xijTGP0cky5LeLn6HiP/W82zO553WizGGWdLe688854KsVxRAdk3Mo5RoFGh2HsU1j/4x//KF4TI1Nj+zEKPMyjYzs6gvPUrm1jBPCZZ56ZooM/ptyO8XPsR3QmRyd1dETH+8T+Rad+br/owI+O5Rh5nacYARymMVK1eR/z8zFf2TaGapi32+rWfCzRDhEfeYr3iOfjDwFiitc2+xUP/t8/cQvwaOto1xW9Rxxz3DY8jxqOl0YcxgjheO/mmIznWo8xlnNsx/PbbrttMYI6nGJqjvfI08hnEwECBAgQIECAAAECBOok0NXz1+CN+43V6agdKwECBAgQIECAAAECBFahQNwCOkbxNneqrcK3L97qda97XXHb3VX9vmV4v+iUjVs6x0juuAX2WE1xG+0Y7RujjYc7jcY2hvvenfC6GJEcncz5Ftpx2+zoNI4/QGiexHuzhp8JECBAgAABAgQIEKibgA7gurW44yVAgAABAgQIECBAgACBIQvErZ9f8pKXDPl1Y/mCGHEdt24e7BS3AY/v/S3T9PrXv77fSOsy7bt9JUCAAAECBAgQIECAwHgJ6AAeL3nvS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVEW8B3AowxqcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBgvAR3A4yXvfQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDDKAjqARxnU5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDBeAjqAx0ve+xIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGCUBXQAjzKozREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGC8BHQAj5e89yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMAoC+gAHmVQmyNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMB4CegAHi9570uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFRFtABPMqgNkeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHxEtABPF7y3pcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKjLKADeJRBbY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLjJaADeLzkvS8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRGWUAH8CiD2hwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTGS0AH8HjJe18CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMsoAO4FEGtTkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMl4AO4PGS974ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYZQEdwKMManMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYLwEdwOMl730JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwygI6gEcZ1OYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwXgI6gMdL3vsSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBglAV0AI8yqM0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgvAR0AI+XvPclQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAKAvoAB5lUJsjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAeAnoAB4vee9LgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBURbQATzKoDZHgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB8RLQATxe8t6XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECoyygA3iUQW2OAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC4yWgA3i85L0vAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIERllAB/Aog9ocAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIExktAB/B4yXtfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIjLKADuBRBrU5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIjJeADuDxkve+BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQGGUBHcCjDGpzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQGC8BHcDjJe99CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMMoCOoBHGdTmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMF4COoDHS977EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYJQFdACPMqjNESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYLwEdACPl7z3JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwCgL6AAeZVCbI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwHgJ6AAeL3nvS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVEW0AE8yqA2R4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfES0AE8XvLelwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAqMsoAN4lEFtjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAuMloAN4vOS9LwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBEZZQAfwKIPaHAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBMZLQAfweMl7XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIyygA7gUQa1OQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIyXgA7g8ZL3vgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBhlAR3AowxqcwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBgvAR3A4yXvfQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDDKAjqARxnU5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDBeAjqAx0ve+xIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGCUBXQAjzKozREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGC8BHQAj5e89yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMAoC+gAHmVQmyNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMB4CegAHi9570uAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFRFtABPMqgNkeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHxEtABPF7y3pcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKjLKADeJRBbY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLjJaADeLzkvS8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRGWUAH8CiD2hwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTGS0AH8HjJe18CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMsoAO4FEGtTkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMl4AO4PGS974ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYZQEdwKMManMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYLwEdwOMl730JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwygI6gEcZ1OYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwXgI6gMdL3vsSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBglAV0AI8yqM0RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgvAR0AI+XvPf9/+3ZMQ0AAADCMP+uMbGEpwYg6TsCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAZHFmlQAAC+lJREFUAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIQgF/yfgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIBALCMAxqDkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi8BATgl7xfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIxAICcAxqjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi8BAfgl75cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKxgAAcg5ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAS0AAfsn7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCwgAMeg5ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPASEIBf8n4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAQCwjAMag5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIvAQE4Je8XwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMQCAnAMao4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIvAQH4Je+XAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECsYAAHIOaI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEtAAH7J+yVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAsIADHoOYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDwEhCAX/J+CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgEAsIwDGoOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLwEBOCXvF8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjEAgJwDGqOAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECLwEB+CXvlwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABArGAAByDmiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBLQAB+yfslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALCAAx6DmCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BIYBckly0FfsKoAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Step 3: Navigate to Podcast Page"
      ],
      "metadata": {
        "id": "3FQzd0Ib4SmI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 1: Find the shadow host (e.g., <chrome-app>)\n",
        "shadow_host = driver.find_element(By.CSS_SELECTOR, \"#__chrome\")\n",
        "\n",
        "# Step 2: Use JavaScript to access shadowRoot\n",
        "shadow_root = driver.execute_script(\"return arguments[0].shadowRoot\", shadow_host)\n",
        "\n",
        "# Step 3: Now find the <nav> element inside Shadow DOM\n",
        "nav_element = shadow_root.find_element(By.CSS_SELECTOR, \"nav\")\n",
        "\n",
        "# Step 4: Find the <a> tag that contains \"Digitising Events - UNSCRIPTED\"\n",
        "link = nav_element.find_element(By.CSS_SELECTOR, \"div > div > dl > dd:nth-child(8) > div\")\n",
        "\n",
        "link_label = link.text.strip()\n",
        "\n",
        "if link_label == \"Digitising Events - UNSCRIPTED\":\n",
        "    try:\n",
        "        link.click()\n",
        "        print(\"✅ Clicked \",link_label, \"menu successfully!\")\n",
        "    except Exception as e:\n",
        "        print(\"❌ Failed to click podcast menu\", e)\n",
        "        exit()\n",
        "\n",
        "\n",
        "time.sleep(10)\n",
        "\n",
        "# Take a screenshot to verify navigation\n",
        "driver.save_screenshot(\"3_Podcast_dashboard.png\")\n",
        "display(Image.open(\"3_Podcast_dashboard.png\"))\n"
      ],
      "metadata": {
        "id": "i_LKHj604QTq",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 703
        },
        "outputId": "6e1f9383-bac6-47d3-9638-bbf29d36fd29"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "NoSuchElementException",
          "evalue": "Message: no such element: Unable to locate element: {\"method\":\"css selector\",\"selector\":\"#__chrome\"}\n  (Session info: chrome=138.0.7204.92); For documentation on this error, please visit: https://www.selenium.dev/documentation/webdriver/troubleshooting/errors#nosuchelementexception\nStacktrace:\n#0 0x55e42546b1da <unknown>\n#1 0x55e424f15ab0 <unknown>\n#2 0x55e424f676f0 <unknown>\n#3 0x55e424f678e1 <unknown>\n#4 0x55e424fb5b94 <unknown>\n#5 0x55e424f8d1cd <unknown>\n#6 0x55e424fb2fee <unknown>\n#7 0x55e424f8cf73 <unknown>\n#8 0x55e424f59aeb <unknown>\n#9 0x55e424f5a751 <unknown>\n#10 0x55e42542faeb <unknown>\n#11 0x55e4254338c9 <unknown>\n#12 0x55e4254168c9 <unknown>\n#13 0x55e425434488 <unknown>\n#14 0x55e4253fb07f <unknown>\n#15 0x55e425458888 <unknown>\n#16 0x55e425458a66 <unknown>\n#17 0x55e42546a4f6 <unknown>\n#18 0x7cd014287ac3 <unknown>\n",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNoSuchElementException\u001b[0m                    Traceback (most recent call last)",
            "\u001b[0;32m/tmp/ipython-input-17-606607065.py\u001b[0m in \u001b[0;36m<cell line: 0>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Step 1: Find the shadow host (e.g., <chrome-app>)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mshadow_host\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdriver\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfind_element\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mBy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCSS_SELECTOR\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"#__chrome\"\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      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;31m# Step 2: Use JavaScript to access shadowRoot\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mshadow_root\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdriver\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute_script\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"return arguments[0].shadowRoot\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshadow_host\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.11/dist-packages/selenium/webdriver/remote/webdriver.py\u001b[0m in \u001b[0;36mfind_element\u001b[0;34m(self, by, value)\u001b[0m\n\u001b[1;32m    920\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0melements\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    921\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 922\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mCommand\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFIND_ELEMENT\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m\"using\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mby\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"value\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"value\"\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    923\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    924\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mfind_elements\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mby\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mBy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mID\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mWebElement\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;32m/usr/local/lib/python3.11/dist-packages/selenium/webdriver/remote/webdriver.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self, driver_command, params)\u001b[0m\n\u001b[1;32m    452\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    453\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 454\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcheck_response\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\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    455\u001b[0m             \u001b[0mresponse\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"value\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_unwrap_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"value\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\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[1;32m    456\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.11/dist-packages/selenium/webdriver/remote/errorhandler.py\u001b[0m in \u001b[0;36mcheck_response\u001b[0;34m(self, response)\u001b[0m\n\u001b[1;32m    230\u001b[0m                 \u001b[0malert_text\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"alert\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"text\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    231\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mexception_class\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscreen\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstacktrace\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malert_text\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[call-arg]  # mypy is not smart enough here\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 232\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mexception_class\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscreen\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstacktrace\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mNoSuchElementException\u001b[0m: Message: no such element: Unable to locate element: {\"method\":\"css selector\",\"selector\":\"#__chrome\"}\n  (Session info: chrome=138.0.7204.92); For documentation on this error, please visit: https://www.selenium.dev/documentation/webdriver/troubleshooting/errors#nosuchelementexception\nStacktrace:\n#0 0x55e42546b1da <unknown>\n#1 0x55e424f15ab0 <unknown>\n#2 0x55e424f676f0 <unknown>\n#3 0x55e424f678e1 <unknown>\n#4 0x55e424fb5b94 <unknown>\n#5 0x55e424f8d1cd <unknown>\n#6 0x55e424fb2fee <unknown>\n#7 0x55e424f8cf73 <unknown>\n#8 0x55e424f59aeb <unknown>\n#9 0x55e424f5a751 <unknown>\n#10 0x55e42542faeb <unknown>\n#11 0x55e4254338c9 <unknown>\n#12 0x55e4254168c9 <unknown>\n#13 0x55e425434488 <unknown>\n#14 0x55e4253fb07f <unknown>\n#15 0x55e425458888 <unknown>\n#16 0x55e425458a66 <unknown>\n#17 0x55e42546a4f6 <unknown>\n#18 0x7cd014287ac3 <unknown>\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 5: Navigate to Episodes Page\n",
        "driver.get(\"https://creators.spotify.com/pod/dashboard/episodes\")\n",
        "\n",
        "time.sleep(5)\n",
        "\n",
        "# Take a screenshot to verify navigation\n",
        "driver.save_screenshot(\"4_Episodes.png\")\n",
        "display(Image.open(\"4_Episodes.png\"))"
      ],
      "metadata": {
        "id": "19TAMJkkiAri"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Step 4: Get Episodes Data and Link to Individual Page\n"
      ],
      "metadata": {
        "id": "qKo3A9WBiMrD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 1: Locate the table body\n",
        "table_body = driver.find_element(By.TAG_NAME, \"table\")\n",
        "\n",
        "# Step 2: Find all rows inside <tbody>\n",
        "rows = table_body.find_elements(By.TAG_NAME, \"tr\")\n",
        "\n",
        "# Step 3: Extract headers from the first row\n",
        "header_cells = rows[0].find_elements(By.TAG_NAME, \"th\")  # Find <th> in the first row\n",
        "if not header_cells:  # If no <th> found, use <td> from the first row as headers\n",
        "    header_cells = rows[0].find_elements(By.TAG_NAME, \"td\")\n",
        "\n",
        "headers = [cell.text.strip() for cell in header_cells]  # Extract text from headers\n",
        "\n",
        "print(headers)\n"
      ],
      "metadata": {
        "id": "KycqvCEiiNIy"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 4: Extract row data (starting from the second row)\n",
        "table_data = []\n",
        "\n",
        "for row in rows[1:]:  # Skip first row since it's headers\n",
        "    cells = row.find_elements(By.TAG_NAME, \"td\")\n",
        "    row_data = [cell.text.strip() for cell in cells]  # Extract text from each <td>\n",
        "\n",
        "    # Extract data-cy attribute from the row (not each <td>)\n",
        "    data_cy = row.get_attribute(\"data-cy\") or \"N/A\"  # If missing, set as \"N/A\"\n",
        "\n",
        "    row_data.append(data_cy)  # Append data-cy as the last column\n",
        "    table_data.append(row_data)\n",
        "\n",
        "# Step 5: Append 'data-cy' as a column name\n",
        "headers.append(\"data-cy\")\n",
        "\n",
        "# Step 6: Convert to Pandas DataFrame\n",
        "df = pd.DataFrame(table_data, columns=headers)\n"
      ],
      "metadata": {
        "id": "HhskbkL9iPac"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# ✅ Create a new 'episode_id' column without \"episode-\" prefix\n",
        "df[\"episode_id\"] = df[\"data-cy\"].str.replace(\"episode-\", \"\", regex=True)\n",
        "\n",
        "# ✅ Drop 'data-cy' column as it's no longer needed\n",
        "df = df.drop(columns=[\"data-cy\"])\n"
      ],
      "metadata": {
        "id": "A3xhc0VlkF7m"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#filter to STATUS = \"Published\"\n",
        "\n",
        "df = df[df['Status'] == 'Published']\n"
      ],
      "metadata": {
        "id": "NX-IQJQfipd6"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 7: Print DataFrame\n",
        "df.head(5)"
      ],
      "metadata": {
        "id": "gizbdBlyip6D"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Step 5: Get Files from Directory\n",
        "Check if a filename already exists based on the values in download_1_filename and download_2_filename fields. This will prevent duplicate downloads that might cause the file to be renamed with (1), (2), etc. in the filename, to ensure when we read the data, we read from the latest download."
      ],
      "metadata": {
        "id": "jbUDzqWyitMG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# ✅ Identify existing file in the directory where we stored the downloaded files\n",
        "from os import listdir\n",
        "from os.path import isfile, join\n",
        "\n",
        "try:\n",
        "  file_dir = \"ADD DOWNLOAD PATH HERE\"\n",
        "  downloaded_files = [f for f in listdir(file_dir) if isfile(join(file_dir, f))]\n",
        "except Exception as e:\n",
        "  print(\"❌ Not on local\", e)"
      ],
      "metadata": {
        "id": "gfN7_GWXit0f"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Step 6: Navigte to Single Page and Download CSV file"
      ],
      "metadata": {
        "id": "xZYJ6etOjkxk"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Functions"
      ],
      "metadata": {
        "id": "kQgux7v-jmSi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "### ✅ Function to Navigate to an Episode Page ###\n",
        "def navigate_to_episode(episode_id):\n",
        "    episode_url = f\"https://creators.spotify.com/pod/dashboard/episode/{episode_id}\"\n",
        "    print(f\"🔗 Navigating to: {episode_url}\")\n",
        "    driver.get(episode_url)\n",
        "\n",
        "### ✅ Function to Select \"All-time\" from a Dropdown ###\n",
        "def select_all_time_dropdown(dropdown_id):\n",
        "    print(f\"🛠 Selecting 'All-time' in dropdown: {dropdown_id}\")\n",
        "\n",
        "    # Click the dropdown button\n",
        "    dropdown_button = WebDriverWait(driver, 10).until(\n",
        "        EC.element_to_be_clickable((By.ID, dropdown_id))\n",
        "    )\n",
        "    dropdown_button.click()\n",
        "    print(\"✅ Clicked dropdown button!\")\n",
        "\n",
        "    # Wait for dropdown list to appear\n",
        "    dropdown_list = WebDriverWait(driver, 10).until(\n",
        "        EC.presence_of_element_located((By.XPATH, \"//ul[@role='listbox']\"))\n",
        "    )\n",
        "\n",
        "    # Click the \"All-time\" option\n",
        "    all_time_option = dropdown_list.find_element(By.XPATH, \"//li[contains(text(), 'All time')]\")\n",
        "    all_time_option.click()\n",
        "    print(\"✅ Selected 'All-time' from dropdown!\")\n",
        "\n",
        "    # Wait for page to update\n",
        "    time.sleep(3)  # Adjust time if needed\n",
        "\n",
        "### ✅ Function to Download CSV and Extract Filename ###\n",
        "def download_csv(csv_xpath):\n",
        "    print(\"📥 Downloading CSV...\")\n",
        "\n",
        "    # Wait for CSV link to be clickable\n",
        "    export_link = WebDriverWait(driver, 10).until(\n",
        "        EC.element_to_be_clickable((By.XPATH, csv_xpath))\n",
        "    )\n",
        "\n",
        "    if not scroll_until_click(driver, csv_xpath):\n",
        "        print(\"❌ Could not click the CSV download link. Skipping download.\")\n",
        "        return None\n",
        "\n",
        "    # Get CSV download URL\n",
        "    csv_download_url = export_link.get_attribute(\"href\")\n",
        "    print(f\"🔗 CSV Download URL: {csv_download_url}\")\n",
        "\n",
        "    # Extract CSV filename using regex\n",
        "    match = re.search(r\"csvFilename=([^&]+)\", csv_download_url)\n",
        "    csv_filename = match.group(1) if match else \"default.csv\"\n",
        "\n",
        "    print(f\"📂 Extracted CSV Filename: {csv_filename}\")\n",
        "\n",
        "    time.sleep(10)\n",
        "\n",
        "    return csv_filename  # Return the extracted filename for reference\n",
        "\n",
        "### ✅ Use a While Loop to Keep Scrolling Until Element is Clickable ###\n",
        "\n",
        "\n",
        "def scroll_until_click(driver, element_xpath, max_attempts=10, scroll_increment=500):\n",
        "    \"\"\"\n",
        "    Scrolls down in small steps until an element is clickable and successfully clicked.\n",
        "\n",
        "    :param driver: Selenium WebDriver instance\n",
        "    :param element_xpath: XPATH of the element to click\n",
        "    :param max_attempts: Maximum number of scroll attempts\n",
        "    :param scroll_increment: Number of pixels to scroll per attempt\n",
        "    :return: True if clicked successfully, False if failed\n",
        "    \"\"\"\n",
        "    attempts = 0\n",
        "    while attempts < max_attempts:\n",
        "        try:\n",
        "            # Wait for the element to be clickable\n",
        "            element = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.XPATH, element_xpath)))\n",
        "\n",
        "            # Click the element\n",
        "            element.click()\n",
        "            print(f\"✅ Successfully clicked the element: {element_xpath}\")\n",
        "            return True  # Exit function if successful\n",
        "\n",
        "        except ElementClickInterceptedException:\n",
        "            print(f\"⚠️ Click intercepted. Scrolling down {scroll_increment} pixels and retrying...\")\n",
        "            driver.execute_script(f\"window.scrollBy(0, {scroll_increment});\")  # Scroll down slightly\n",
        "            time.sleep(1)  # Allow time for page to load\n",
        "            attempts += 1\n",
        "\n",
        "    print(f\"❌ Max attempts reached. Could not click the element: {element_xpath}\")\n",
        "    return False  # Return False if all attempts fail\n",
        "\n",
        "# Example usage:\n",
        "# driver = webdriver.Chrome()  # Assuming you've already initialized the WebDriver\n",
        "# scroll_until\n"
      ],
      "metadata": {
        "id": "XD4qd7vJjnuk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# ==============================================================\n",
        "# ✅ Update `df` to store filenames\n",
        "# ==============================================================\n",
        "df[\"download_1_filename\"] = \"\"  # Column for Spotify CSV filename\n",
        "df[\"download_2_filename\"] = \"\"  # Column for All Platform CSV filename"
      ],
      "metadata": {
        "id": "_vXmABSBjq5D"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head(5)"
      ],
      "metadata": {
        "id": "3sun7hEfjszk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# ==============================================================\n",
        "# ✅ DOWNLOAD 1: LOOP THROUGH ALL EPISODES AND STORE FILENAMES\n",
        "# ==============================================================\n",
        "for index, row in df.iterrows():\n",
        "    episode_id = row[\"episode_id\"]\n",
        "\n",
        "    navigate_to_episode(episode_id)  # Navigate to the episode page\n",
        "    time.sleep(5)  # Wait for page to load\n",
        "    driver.execute_script(\"document.body.style.zoom='50%'\")\n",
        "    select_all_time_dropdown(\"dropdown-toggle-spotify-stats-chart-date\")  # Select \"All-time\"\n",
        "    csv_filename = download_csv(\"//a[span[contains(text(), 'Export to CSV')]]\")  # Download CSV\n",
        "\n",
        "    df.at[index, \"download_1_filename\"] = csv_filename  # ✅ Store filename in df\n",
        "\n",
        "    time.sleep(10)\n",
        "    driver.execute_script(\"window.scrollTo(0, document.body.scrollHeight);\")\n",
        "\n",
        "    select_all_time_dropdown(\"dropdown-toggle-plays-chart-section-date\")  # Select \"All-time\"\n",
        "    csv_filename_overview = download_csv(\"//*[@id='overview-panel']/section[2]/div/div/div[2]/div/a\")  # Download CSV\n",
        "\n",
        "    df.at[index, \"download_2_filename\"] = csv_filename_overview  # ✅ Store filename in df\n",
        "    print(\"=\"*30)\n",
        "    time.sleep(8)\n"
      ],
      "metadata": {
        "id": "B4TFsPNUjwZH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Ensures the browser closes even if there's an error\n",
        "driver.quit()\n",
        "print(\"Browser closed.\")"
      ],
      "metadata": {
        "id": "qZwo5hclsPD5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# ==============================================================\n",
        "# ✅ SAVE UPDATED df TO CSV FOR LATER PROCESSING\n",
        "# ==============================================================\n",
        "df.to_csv(\"episodes_metadata.csv\")\n",
        "df.head()\n"
      ],
      "metadata": {
        "id": "m2HupdQ4sQaX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Combine Downloaded Data"
      ],
      "metadata": {
        "id": "N3993WQQsZo7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to read a file (modify for different formats)\n",
        "def read_file(filepath):\n",
        "    \"\"\"Reads a CSV file and returns a DataFrame. Handles errors gracefully.\"\"\"\n",
        "    try:\n",
        "        return pd.read_csv(filepath)  # Modify for Excel, JSON, etc.\n",
        "    except Exception as e:\n",
        "        print(f\"⚠️ Skipping file {filepath}: {e}\")  # Log error\n",
        "        return None\n",
        "\n",
        "# Load all files in df['download_1_filename'], maintaining episode matching\n",
        "def load_download_files(df, filename_column):\n",
        "    \"\"\"Loads all files listed in a given column and assigns an order number per episode.\"\"\"\n",
        "\n",
        "    file_data = []\n",
        "\n",
        "    for _, row in df.iterrows():\n",
        "        episode_id = row[\"episode_id\"]  # Ensure the episode ID matches\n",
        "        filename = row[filename_column]\n",
        "\n",
        "        if pd.notna(filename):  # Only process if filename exists\n",
        "            file_path = os.path.join(DOWNLOAD_FOLDER, filename)\n",
        "\n",
        "            if os.path.exists(file_path):\n",
        "                df_file = read_file(file_path)\n",
        "\n",
        "                if df_file is not None:  # ✅ Skip if file reading fails\n",
        "                    df_file[\"episode_id\"] = episode_id  # Maintain episode association\n",
        "                    file_data.append(df_file)\n",
        "            else:\n",
        "                print(f\"⚠️ File not found, skipping: {file_path}\")  # Log missing file warning\n",
        "\n",
        "    # Combine all file data if any files were processed\n",
        "    if file_data:\n",
        "        return pd.concat(file_data, ignore_index=True)\n",
        "    else:\n",
        "        return pd.DataFrame()  # Return empty DataFrame if no files loaded\n",
        "\n"
      ],
      "metadata": {
        "id": "_x7Fip9wsaKF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# # Define the folder where the files are stored\n",
        "DOWNLOAD_FOLDER = \"/content/\"  # Change this to your actual download folder\n",
        "\n",
        "# Load and process download_1_filename data\n",
        "download_1_df = load_download_files(df, \"download_1_filename\")\n",
        "\n",
        "#add prefix \"spot\" for columns: streams,starts, consumption hours\n",
        "columns_to_rename = ['Streams & downloads', 'Plays', 'Consumption Hours']\n",
        "download_1_df.rename(columns={col: f\"Spotify {col}\" for col in columns_to_rename if col in download_1_df.columns}, inplace=True)\n",
        "\n",
        "# Display the final expanded DataFrame\n",
        "download_1_df.head()\n"
      ],
      "metadata": {
        "id": "25aOlpZ7sdHg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Load and process download_1_filename data\n",
        "download_2_df = load_download_files(df, \"download_2_filename\")\n",
        "\n",
        "#renamed column Plays\n",
        "download_2_df.rename(columns={'Streams & Downloads': 'All Plays'}, inplace=True)\n",
        "\n",
        "download_2_df.head()"
      ],
      "metadata": {
        "id": "82lhbYKyseWQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Perform a outer join to join Spotify and All Time Stats Data on Daily Level\n",
        "merged_df = download_1_df.merge(download_2_df, on = [\"episode_id\", \"Time (UTC)\",], how = \"outer\")\n",
        "\n",
        "merged_df = merged_df.sort_values(by=[\"episode_id\", \"Time (UTC)\"], ascending=[True, True])\n",
        "\n",
        "merged_df.to_csv(\"merged_df.csv\")\n"
      ],
      "metadata": {
        "id": "LPkpXWO_sgAj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Perform a left join to add episodes metadata\n",
        "df_final = merged_df.merge(df, on=\"episode_id\", how=\"left\")\n",
        "\n",
        "# Display the final merged DataFrame\n",
        "df_final.head()"
      ],
      "metadata": {
        "id": "WcGGtrlPshFn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_final.rename(columns={'Date': 'PUBLISHED DATE'}, inplace=True)\n",
        "\n",
        "## Published Date - remove \"Published\\n\"\n",
        "df_final['PUBLISHED DATE'] = df_final['PUBLISHED DATE'].astype(str).str.replace(r'Published\\n', '', regex=True)\n"
      ],
      "metadata": {
        "id": "wP3a9gKRskhl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Convert 'Time UTC' to only show the date (YYYY-MM-DD)\n",
        "\n",
        "# Replace \"24:00:00\" with \"00:00:00\" to avoid errors\n",
        "df_final['Time (UTC)'] = df_final['Time (UTC)'].str.replace('24:00:00', '00:00:00')\n",
        "\n",
        "# Convert to datetime\n",
        "df_final['Time (UTC)'] = pd.to_datetime(df_final['Time (UTC)'], format='%m/%d/%Y, %H:%M:%S', errors='coerce')\n",
        "\n",
        "# Extract only the date (removes time)\n",
        "df_final['Time (UTC)'] = df_final['Time (UTC)'].dt.date\n"
      ],
      "metadata": {
        "id": "lnAcfrejsmJ2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "\n",
        "# Check if 'Time UTC' is a pandas datetime type\n",
        "is_datetime = pd.api.types.is_datetime64_any_dtype(df_final['Time (UTC)'])\n",
        "print(\"Is 'Time UTC' a datetime column?:\", is_datetime)\n",
        "\n",
        "df_final['Time (UTC)'] = pd.to_datetime(df_final['Time (UTC)'])\n",
        "df_final['PUBLISHED DATE'] = pd.to_datetime(df_final['PUBLISHED DATE'])\n",
        "print(df_final.dtypes)  # Check the column type\n"
      ],
      "metadata": {
        "id": "KyJtkjHhsnmX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# ✅ Drop fully empty columns\n",
        "df_final = df_final.dropna(axis=1, how=\"all\")  # Drops columns where all values are NaN\n",
        "\n",
        "# ✅ Drop specific columns\n",
        "columns_to_drop = [\"download_1_filename\", \"download_2_filename\", \"Spotify Plays\", \"Streams & Downloads\"]\n",
        "df_final = df_final.drop(columns=columns_to_drop, errors=\"ignore\")  # `errors=\"ignore\"` prevents errors if column is missing\n",
        "\n",
        "# ✅ Capitalise all columns name\n",
        "df_final.columns = df_final.columns.str.title()\n",
        "\n",
        "# ✅ Drop any column with an empty name ('')\n",
        "df_final = df_final.loc[:, df_final.columns != '']\n",
        "\n",
        "\n",
        "# ✅ Export the cleaned DataFrame to CSV\n",
        "df_final.to_csv(\"spotify_episodes_data.csv\", index=False)\n",
        "\n",
        "print(\"📂 Data exported successfully after dropping empty and unnecessary columns!\")\n"
      ],
      "metadata": {
        "id": "-Vo_0HEmspCn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_final.head()"
      ],
      "metadata": {
        "id": "noX92M8HsqNK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Rearrange columns\n",
        "df_final = df_final[['Time (Utc)', 'Spotify Streams', 'Spotify Starts', 'Spotify Consumption Hours', 'Episode_Id', 'All Plays', 'Title', 'Status', 'Format','Length', 'Published Date', 'etl_timestamp_utc']]  # new order\n",
        "\n",
        "df_final.head()"
      ],
      "metadata": {
        "id": "6gPCKCOGVw3K"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import smtplib\n",
        "import datetime\n",
        "from email.mime.text import MIMEText\n",
        "from email.mime.multipart import MIMEMultipart\n",
        "\n",
        "# Email Configuration\n",
        "SMTP_SERVER = \"smtp.gmail.com\"\n",
        "SMTP_PORT = 587\n",
        "EMAIL_SENDER = \"sl@themediacto.com\"\n",
        "EMAIL_PASSWORD = APP_PASSWORD  # Use the 16-character App Password\n",
        "EMAIL_RECEIVER = \"sampleemail@gmail.com\"\n",
        "EMAIL_CC = [\"sample@gmail.com\"]  # Add CC emails as a list\n",
        "GOOGLE_SHEETS_LINK = \"https://docs.google.com/spreadsheets/d/14s1V_ygado3iAyE2dAY9-x76dHPbiH2tJ5W9zuLg5H0/edit?gid=0#gid=0\"\n",
        "\n",
        "def send_email(success=True):\n",
        "    \"\"\"Send an email with CC recipients using Gmail SMTP.\"\"\"\n",
        "    now = datetime.datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\")\n",
        "\n",
        "    subject = \"✅ Spotify Data Scraper - Job Succeeded!\" if success else \"❌ Cron Job Failed!\"\n",
        "\n",
        "    # HTML-formatted email body\n",
        "    body = f\"\"\"\n",
        "    <html>\n",
        "    <body>\n",
        "        <p>The Spotify cron job is completed at <strong>{now} GMT+8</strong>.</p>\n",
        "        <p>Spotify Data is available in Google Sheets:\n",
        "        <a href=\"{GOOGLE_SHEETS_LINK}\" target=\"_blank\">Click Here</a></p>\n",
        "        <p>Data is also available in <strong>BigQuery</strong>.</p>x\n",
        "    </body>\n",
        "    </html>\n",
        "    \"\"\"\n",
        "\n",
        "    # Setup email\n",
        "    msg = MIMEMultipart()\n",
        "    msg[\"From\"] = EMAIL_SENDER\n",
        "    msg[\"To\"] = EMAIL_RECEIVER\n",
        "    msg[\"Cc\"] = \", \".join(EMAIL_CC)  # Convert list to string\n",
        "    msg[\"Subject\"] = subject\n",
        "    msg.attach(MIMEText(body, \"html\"))  # Use HTML instead of plain text\n",
        "\n",
        "    # Combine recipient and CC list\n",
        "    all_recipients = [EMAIL_RECEIVER] + EMAIL_CC\n",
        "\n",
        "    try:\n",
        "        # Connect to SMTP server\n",
        "        server = smtplib.SMTP(SMTP_SERVER, SMTP_PORT)\n",
        "        server.starttls()\n",
        "        server.login(EMAIL_SENDER, EMAIL_PASSWORD)\n",
        "        server.sendmail(EMAIL_SENDER, all_recipients, msg.as_string())\n",
        "        server.quit()\n",
        "        print(f\"Email sent to {EMAIL_RECEIVER} (CC: {', '.join(EMAIL_CC)})\")\n",
        "    except Exception as e:\n",
        "        print(f\"Failed to send email: {e}\")\n",
        "\n",
        "# Run script logic\n",
        "try:\n",
        "    print(\"Running script...\")\n",
        "    success = True  # Simulate success\n",
        "except Exception as e:\n",
        "    success = False\n",
        "\n",
        "# Send email notification\n",
        "send_email(success)\n"
      ],
      "metadata": {
        "id": "5N_80uU1Ca3J"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Write to Google Sheets"
      ],
      "metadata": {
        "id": "cshMfahXCll6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import gspread\n",
        "from gspread_dataframe import set_with_dataframe\n",
        "from datetime import datetime\n",
        "\n",
        "\n",
        "# Load your service account credentials\n",
        "gc = gspread.service_account(filename='digitising-events-434010-9cae65c79b2f.json') #REPLACE WITH YOUR SERVICE ACCOUNT CREDENTIALS (JSON)\n",
        "\n",
        "# Open the Google Sheet by id\n",
        "spreadsheet_id = \"14s1V_ygado3iAyE2dAY9-x76dHPbiH2tJ5W9zuLg5H0\" #REPLACE WITH YOUR SHEET ID\n",
        "\n",
        "spreadsheet = gc.open_by_key(spreadsheet_id)\n",
        "\n",
        "# Select the first worksheet\n",
        "worksheet = spreadsheet.sheet1  # Or use `spreadsheet.worksheet('Sheet1')`\n",
        "\n",
        "# Add `etl_timestamp` column as the last column\n",
        "df_final[\"etl_timestamp_utc\"] = datetime.utcnow().strftime(\"%Y-%m-%d %H:%M:%S\")\n",
        "\n",
        "# Write DataFrame to Google Sheets\n",
        "set_with_dataframe(worksheet, df_final)\n",
        "\n",
        "print(\"Data successfully uploaded to Google Sheets!\")\n"
      ],
      "metadata": {
        "id": "0VvwMWTJCncw"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}
No results found