_5_의미_연결망_분석(Semantic_Network_Analysis).ipynb

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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/yoonjong8739/NLP_study/blob/master/_5_%EC%9D%98%EB%AF%B8_%EC%97%B0%EA%B2%B0%EB%A7%9D_%EB%B6%84%EC%84%9D(Semantic_Network_Analysis).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8w_tpqGaAyVO"
      },
      "source": [
        "# 의미 연결망 분석(Semantic Network Analysis)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3vwuLxVfMRiB"
      },
      "source": [
        "* 사회 연결망 분석(Social Network Analysis)는 분석 대상 및 분석 대상들간의 관계를   \n",
        "연결망 구조로 표현하고 이를 계량적으로 제시하는 분석 기법\n",
        "* 사회 연결망 분석은 사람, 장소, 물품 등의 객체 간의 관계를 분석하는데 효과적이며  \n",
        "주로 친구 관계, 전력 공급 등을 분석하는데 사용\n",
        "* 사회 연결망 분석 기법을 텍스트 내 단어의 관계에 적용한 것이 바로 의미 연결망 분석\n",
        "* 의미 연결망 분석에서는 일정한 범위 내에서 어휘가 동시에 등장하면 서로 연결된 것으로 간주, 이 연결 관계들을 분석\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "M29i6PFkWzDc"
      },
      "source": [
        "## n-gram"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KOfhuY4-aBdF"
      },
      "source": [
        "* `nltk` 라이브러리는 편하게 n-gram을 생성할 수 있는 함수를 제공\n",
        "* 많이 사용되는 `bigrams`의 경우에는 별도의 함수를 제공하니 해당 내용을 참조하여 n-gram 생성"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s4kJbCxWYmZa",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c6155ae0-e11a-4931-abe4-5e6ba69b5d52"
      },
      "source": [
        "import nltk\n",
        "nltk.download('punkt')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vCbTuM2oX6I8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "611e0960-1b73-42fe-d623-ceaa6d2b4103"
      },
      "source": [
        "from nltk import word_tokenize, bigrams\n",
        "\n",
        "sentence = \"I love data science and deep learning\"\n",
        "tokens = word_tokenize(sentence)\n",
        "\n",
        "bigram = bigrams(tokens)\n",
        "bigram_list = [ x for x in bigram ]\n",
        "\n",
        "print(bigram_list)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[('I', 'love'), ('love', 'data'), ('data', 'science'), ('science', 'and'), ('and', 'deep'), ('deep', 'learning')]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bRoIscVjZFV9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d9bc6c73-f943-4b20-a455-b9e4e997245f"
      },
      "source": [
        "from nltk import ngrams  # from nltk.util import ngrams\n",
        "\n",
        "tgram = ngrams(tokens, 3)\n",
        "qgram = ngrams(tokens, 4)\n",
        "\n",
        "tgram_list = [ x for x in tgram ]\n",
        "qgram_list = [ x for x in qgram ]\n",
        "\n",
        "print(tgram_list)\n",
        "print(qgram_list)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[('I', 'love', 'data'), ('love', 'data', 'science'), ('data', 'science', 'and'), ('science', 'and', 'deep'), ('and', 'deep', 'learning')]\n",
            "[('I', 'love', 'data', 'science'), ('love', 'data', 'science', 'and'), ('data', 'science', 'and', 'deep'), ('science', 'and', 'deep', 'learning')]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JkWZYBtuW1Gb"
      },
      "source": [
        "## 어휘 동시 출현 빈도의 계수화"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6iMwMrupGj0I"
      },
      "source": [
        "* 동시 출현(Co-occurrence)란 두 개 이상의 어휘가 일정한 범위나 거리 내에서 함께 출현하는 것을 의미\n",
        "* 단어간의 동시 출현 관계를 분석하면 문서나 문장으로부터 두 단어가 유사한 의미를 가졌는지 등의 추상화된 정보를 얻을 수 있음\n",
        "* 동시 출현 빈도는 Window라는 지정 범위 내에서 동시 등장한 어휘를 확률 등으로 계수화 가능\n",
        "* 예를 들어, 단어 뒤 잘못된 단어가 온다면, 이를 동시 출현 빈도가 높은 단어로 교정 가능"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xdeJzfWKefM6"
      },
      "source": [
        "* 어휘 동시 출현 빈도 행렬은 하나하나 측정할 수도 있지만, 바이그램 개수를 정리하면 편리하게 만들어 볼 수 있음\n",
        "* `nltk`에서 제공하는 `ConditionalFreqDist` 함수를 이용하면 문맥별 단어 빈도를 쉽게 측정 가능"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j37YObgSumih",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "994c6b8e-56f6-4ce8-f6f3-9f97b834fba7"
      },
      "source": [
        "from nltk import ConditionalFreqDist  # 문맥별 단어 빈도 측정\n",
        "\n",
        "sentences = ['I love data science and deep learning', 'I love science', 'I love this code']\n",
        "tokens = [ word_tokenize(x) for x in sentences ]\n",
        "bgrams = [ bigrams(x) for x in tokens ]\n",
        "\n",
        "token = []\n",
        "for i in bgrams:\n",
        "    token += ([ x for x in i ])\n",
        "print(tokens, \"\\n\")\n",
        "print(bgrams, \"\\n\")\n",
        "print(token, \"\\n\")\n",
        "\n",
        "cfd = ConditionalFreqDist(token)\n",
        "print(cfd, \"\\n\")\n",
        "cfd.conditions()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[['I', 'love', 'data', 'science', 'and', 'deep', 'learning'], ['I', 'love', 'science'], ['I', 'love', 'this', 'code']] \n",
            "\n",
            "[<generator object bigrams at 0x7add0829b840>, <generator object bigrams at 0x7add0829b920>, <generator object bigrams at 0x7add0829b8b0>] \n",
            "\n",
            "[('I', 'love'), ('love', 'data'), ('data', 'science'), ('science', 'and'), ('and', 'deep'), ('deep', 'learning'), ('I', 'love'), ('love', 'science'), ('I', 'love'), ('love', 'this'), ('this', 'code')] \n",
            "\n",
            "<ConditionalFreqDist with 7 conditions> \n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['I', 'love', 'data', 'science', 'and', 'deep', 'this']"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5nLFrqh0bDDu",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3cb6b688-5678-4394-e03d-7c9eac110299"
      },
      "source": [
        "print(cfd['I'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<FreqDist with 1 samples and 3 outcomes>\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1qi_TGyUbEye",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b75fa559-f3f8-4f94-e9a6-c6145a820ddd"
      },
      "source": [
        "print(cfd['I']['love'])  # I와 love가 동시 출현한 빈도"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "212HozdE76Ne",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7d44d377-e6b9-43b5-9c9e-7bbee1962d6e"
      },
      "source": [
        "print(cfd['I'].most_common(1))  # I와 동시 출현 빈도가 가장 높은 것"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[('love', 3)]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O8W76iFvWy5i",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "18c57a47-31ab-47ae-8c86-fc929e1e11f4"
      },
      "source": [
        "import numpy as np\n",
        "\n",
        "freq_matrix = []\n",
        "\n",
        "for i in cfd.keys():\n",
        "    temp = []\n",
        "    for j in cfd.keys():\n",
        "        temp.append(cfd[i][j])\n",
        "    freq_matrix.append(temp)\n",
        "\n",
        "freq_matrix = np.array(freq_matrix)\n",
        "\n",
        "print(cfd.keys())\n",
        "print(cfd.values())\n",
        "print(freq_matrix)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "dict_keys(['I', 'love', 'data', 'science', 'and', 'deep', 'this'])\n",
            "dict_values([FreqDist({'love': 3}), FreqDist({'data': 1, 'science': 1, 'this': 1}), FreqDist({'science': 1}), FreqDist({'and': 1}), FreqDist({'deep': 1}), FreqDist({'learning': 1}), FreqDist({'code': 1})])\n",
            "[[0 3 0 0 0 0 0]\n",
            " [0 0 1 1 0 0 1]\n",
            " [0 0 0 1 0 0 0]\n",
            " [0 0 0 0 1 0 0]\n",
            " [0 0 0 0 0 1 0]\n",
            " [0 0 0 0 0 0 0]\n",
            " [0 0 0 0 0 0 0]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IdfUT9Y_wXID"
      },
      "source": [
        "* 해당 동시 출현 빈도 행렬을 좀 더 보기 쉽도록 데이터프레임으로 시각화"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PpSGjtsjXnHT",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "outputId": "d35f86d6-c4dc-4b70-d78c-63968830ba8b"
      },
      "source": [
        "import pandas as pd\n",
        "\n",
        "df = pd.DataFrame(data = freq_matrix, index = cfd.keys(), columns = cfd.keys())\n",
        "df.style.background_gradient(cmap='coolwarm')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<style type=\"text/css\">\n",
              "#T_7638b_row0_col0, #T_7638b_row0_col2, #T_7638b_row0_col3, #T_7638b_row0_col4, #T_7638b_row0_col5, #T_7638b_row0_col6, #T_7638b_row1_col0, #T_7638b_row1_col1, #T_7638b_row1_col4, #T_7638b_row1_col5, #T_7638b_row2_col0, #T_7638b_row2_col1, #T_7638b_row2_col2, #T_7638b_row2_col4, #T_7638b_row2_col5, #T_7638b_row2_col6, #T_7638b_row3_col0, #T_7638b_row3_col1, #T_7638b_row3_col2, #T_7638b_row3_col3, #T_7638b_row3_col5, #T_7638b_row3_col6, #T_7638b_row4_col0, #T_7638b_row4_col1, #T_7638b_row4_col2, #T_7638b_row4_col3, #T_7638b_row4_col4, #T_7638b_row4_col6, #T_7638b_row5_col0, #T_7638b_row5_col1, #T_7638b_row5_col2, #T_7638b_row5_col3, #T_7638b_row5_col4, #T_7638b_row5_col5, #T_7638b_row5_col6, #T_7638b_row6_col0, #T_7638b_row6_col1, #T_7638b_row6_col2, #T_7638b_row6_col3, #T_7638b_row6_col4, #T_7638b_row6_col5, #T_7638b_row6_col6 {\n",
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              "#T_7638b_row0_col1, #T_7638b_row1_col2, #T_7638b_row1_col3, #T_7638b_row1_col6, #T_7638b_row2_col3, #T_7638b_row3_col4, #T_7638b_row4_col5 {\n",
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              "<table id=\"T_7638b\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_7638b_level0_col0\" class=\"col_heading level0 col0\" >I</th>\n",
              "      <th id=\"T_7638b_level0_col1\" class=\"col_heading level0 col1\" >love</th>\n",
              "      <th id=\"T_7638b_level0_col2\" class=\"col_heading level0 col2\" >data</th>\n",
              "      <th id=\"T_7638b_level0_col3\" class=\"col_heading level0 col3\" >science</th>\n",
              "      <th id=\"T_7638b_level0_col4\" class=\"col_heading level0 col4\" >and</th>\n",
              "      <th id=\"T_7638b_level0_col5\" class=\"col_heading level0 col5\" >deep</th>\n",
              "      <th id=\"T_7638b_level0_col6\" class=\"col_heading level0 col6\" >this</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_7638b_level0_row0\" class=\"row_heading level0 row0\" >I</th>\n",
              "      <td id=\"T_7638b_row0_col0\" class=\"data row0 col0\" >0</td>\n",
              "      <td id=\"T_7638b_row0_col1\" class=\"data row0 col1\" >3</td>\n",
              "      <td id=\"T_7638b_row0_col2\" class=\"data row0 col2\" >0</td>\n",
              "      <td id=\"T_7638b_row0_col3\" class=\"data row0 col3\" >0</td>\n",
              "      <td id=\"T_7638b_row0_col4\" class=\"data row0 col4\" >0</td>\n",
              "      <td id=\"T_7638b_row0_col5\" class=\"data row0 col5\" >0</td>\n",
              "      <td id=\"T_7638b_row0_col6\" class=\"data row0 col6\" >0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_7638b_level0_row1\" class=\"row_heading level0 row1\" >love</th>\n",
              "      <td id=\"T_7638b_row1_col0\" class=\"data row1 col0\" >0</td>\n",
              "      <td id=\"T_7638b_row1_col1\" class=\"data row1 col1\" >0</td>\n",
              "      <td id=\"T_7638b_row1_col2\" class=\"data row1 col2\" >1</td>\n",
              "      <td id=\"T_7638b_row1_col3\" class=\"data row1 col3\" >1</td>\n",
              "      <td id=\"T_7638b_row1_col4\" class=\"data row1 col4\" >0</td>\n",
              "      <td id=\"T_7638b_row1_col5\" class=\"data row1 col5\" >0</td>\n",
              "      <td id=\"T_7638b_row1_col6\" class=\"data row1 col6\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_7638b_level0_row2\" class=\"row_heading level0 row2\" >data</th>\n",
              "      <td id=\"T_7638b_row2_col0\" class=\"data row2 col0\" >0</td>\n",
              "      <td id=\"T_7638b_row2_col1\" class=\"data row2 col1\" >0</td>\n",
              "      <td id=\"T_7638b_row2_col2\" class=\"data row2 col2\" >0</td>\n",
              "      <td id=\"T_7638b_row2_col3\" class=\"data row2 col3\" >1</td>\n",
              "      <td id=\"T_7638b_row2_col4\" class=\"data row2 col4\" >0</td>\n",
              "      <td id=\"T_7638b_row2_col5\" class=\"data row2 col5\" >0</td>\n",
              "      <td id=\"T_7638b_row2_col6\" class=\"data row2 col6\" >0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_7638b_level0_row3\" class=\"row_heading level0 row3\" >science</th>\n",
              "      <td id=\"T_7638b_row3_col0\" class=\"data row3 col0\" >0</td>\n",
              "      <td id=\"T_7638b_row3_col1\" class=\"data row3 col1\" >0</td>\n",
              "      <td id=\"T_7638b_row3_col2\" class=\"data row3 col2\" >0</td>\n",
              "      <td id=\"T_7638b_row3_col3\" class=\"data row3 col3\" >0</td>\n",
              "      <td id=\"T_7638b_row3_col4\" class=\"data row3 col4\" >1</td>\n",
              "      <td id=\"T_7638b_row3_col5\" class=\"data row3 col5\" >0</td>\n",
              "      <td id=\"T_7638b_row3_col6\" class=\"data row3 col6\" >0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_7638b_level0_row4\" class=\"row_heading level0 row4\" >and</th>\n",
              "      <td id=\"T_7638b_row4_col0\" class=\"data row4 col0\" >0</td>\n",
              "      <td id=\"T_7638b_row4_col1\" class=\"data row4 col1\" >0</td>\n",
              "      <td id=\"T_7638b_row4_col2\" class=\"data row4 col2\" >0</td>\n",
              "      <td id=\"T_7638b_row4_col3\" class=\"data row4 col3\" >0</td>\n",
              "      <td id=\"T_7638b_row4_col4\" class=\"data row4 col4\" >0</td>\n",
              "      <td id=\"T_7638b_row4_col5\" class=\"data row4 col5\" >1</td>\n",
              "      <td id=\"T_7638b_row4_col6\" class=\"data row4 col6\" >0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_7638b_level0_row5\" class=\"row_heading level0 row5\" >deep</th>\n",
              "      <td id=\"T_7638b_row5_col0\" class=\"data row5 col0\" >0</td>\n",
              "      <td id=\"T_7638b_row5_col1\" class=\"data row5 col1\" >0</td>\n",
              "      <td id=\"T_7638b_row5_col2\" class=\"data row5 col2\" >0</td>\n",
              "      <td id=\"T_7638b_row5_col3\" class=\"data row5 col3\" >0</td>\n",
              "      <td id=\"T_7638b_row5_col4\" class=\"data row5 col4\" >0</td>\n",
              "      <td id=\"T_7638b_row5_col5\" class=\"data row5 col5\" >0</td>\n",
              "      <td id=\"T_7638b_row5_col6\" class=\"data row5 col6\" >0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_7638b_level0_row6\" class=\"row_heading level0 row6\" >this</th>\n",
              "      <td id=\"T_7638b_row6_col0\" class=\"data row6 col0\" >0</td>\n",
              "      <td id=\"T_7638b_row6_col1\" class=\"data row6 col1\" >0</td>\n",
              "      <td id=\"T_7638b_row6_col2\" class=\"data row6 col2\" >0</td>\n",
              "      <td id=\"T_7638b_row6_col3\" class=\"data row6 col3\" >0</td>\n",
              "      <td id=\"T_7638b_row6_col4\" class=\"data row6 col4\" >0</td>\n",
              "      <td id=\"T_7638b_row6_col5\" class=\"data row6 col5\" >0</td>\n",
              "      <td id=\"T_7638b_row6_col6\" class=\"data row6 col6\" >0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BGGjGxUrwi2b"
      },
      "source": [
        "* 동시 출현 빈도 행렬은 인접 행렬로도 간주할 수 있음\n",
        "* `networkx` 라이브러리를 사용해 해당 행렬을 그래프로 시각화"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n02wBj9d1lfg"
      },
      "source": [
        "* 앞서 만든 데이터프레임을 그래프로 변환\n",
        "* 넘파이 배열 등으로도 가능하나, 이 경우 별도로 라벨을 지정해줘야만 함"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NP_fVs57wjK4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "274062bd-8201-4793-b693-4aba4a309639"
      },
      "source": [
        "import networkx as nx\n",
        "\n",
        "G = nx.from_pandas_adjacency(df)  # 인접 행렬만 가능\n",
        "\n",
        "print(G.nodes())  # 각각의 단어, cfd.keys()와 동일\n",
        "print(G.edges())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['I', 'love', 'data', 'science', 'and', 'deep', 'this']\n",
            "[('I', 'love'), ('love', 'data'), ('love', 'science'), ('love', 'this'), ('data', 'science'), ('science', 'and'), ('and', 'deep')]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VVffevvX12lg"
      },
      "source": [
        "* 각 엣지에 접근해보면 각 엣지의 가중치에 각 단어간의 빈도가 사용된 것을 확인 가능"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5_ip9oSd2AOY",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "226464ec-3e78-4eb5-bb91-3202a93d09b0"
      },
      "source": [
        "print(G.edges()[('I', 'love')])\n",
        "print(G.edges()[('love', 'data')])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'weight': 3}\n",
            "{'weight': 1}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I2TNV9401ke7"
      },
      "source": [
        "* `nx.draw`를 통해 간편하게 그래프를 시각화할 수 있음"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2bt9zZ0P1aCc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 516
        },
        "outputId": "314f2ce4-b060-4737-a17b-4a2fb2520a9b"
      },
      "source": [
        "nx.draw(G, with_labels=True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MrafXR_vaqd9"
      },
      "source": [
        "* 어휘 동시 출현 빈도를 이용하면 어휘 동시 출현 확률까지 측정 가능\n",
        "* 어휘 동시 출현 확률 계산에는 `nltk`의 `ConditionalProbDist`를 이용"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dOfiGSVL8I38",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "72543b77-8baa-4101-df25-6c222f03e885"
      },
      "source": [
        "from nltk.probability import ConditionalProbDist, MLEProbDist\n",
        "\n",
        "cpd = ConditionalProbDist(cfdist=cfd,\n",
        "                          probdist_factory=MLEProbDist)\n",
        "\n",
        "cpd.conditions()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['I', 'love', 'data', 'science', 'and', 'deep', 'this']"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aliwTDpm85V5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5e1f90d6-9ff3-413b-939a-c139a37ed80b"
      },
      "source": [
        "prob_matrix = []\n",
        "\n",
        "for i in cpd.keys():\n",
        "    prob_matrix.append([ cpd[i].prob(j) for j in cpd.keys() ])\n",
        "\n",
        "prob_matrix = np.array(prob_matrix)\n",
        "\n",
        "print(cpd.keys())\n",
        "print(prob_matrix)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "dict_keys(['I', 'love', 'data', 'science', 'and', 'deep', 'this'])\n",
            "[[0.         1.         0.         0.         0.         0.\n",
            "  0.        ]\n",
            " [0.         0.         0.33333333 0.33333333 0.         0.\n",
            "  0.33333333]\n",
            " [0.         0.         0.         1.         0.         0.\n",
            "  0.        ]\n",
            " [0.         0.         0.         0.         1.         0.\n",
            "  0.        ]\n",
            " [0.         0.         0.         0.         0.         1.\n",
            "  0.        ]\n",
            " [0.         0.         0.         0.         0.         0.\n",
            "  0.        ]\n",
            " [0.         0.         0.         0.         0.         0.\n",
            "  0.        ]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DELaFrOLQyTY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "outputId": "be5c6b42-614a-4ffd-fc76-56316ea981de"
      },
      "source": [
        "df = pd.DataFrame(data = prob_matrix, index = cpd.keys(), columns = cpd.keys())\n",
        "df.style.background_gradient(cmap='coolwarm')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7add00f63cd0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
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              "#T_a4c6a_row0_col1, #T_a4c6a_row1_col2, #T_a4c6a_row1_col6, #T_a4c6a_row2_col3, #T_a4c6a_row3_col4, #T_a4c6a_row4_col5 {\n",
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              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
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              "      <th id=\"T_a4c6a_level0_col1\" class=\"col_heading level0 col1\" >love</th>\n",
              "      <th id=\"T_a4c6a_level0_col2\" class=\"col_heading level0 col2\" >data</th>\n",
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              "      <th id=\"T_a4c6a_level0_col4\" class=\"col_heading level0 col4\" >and</th>\n",
              "      <th id=\"T_a4c6a_level0_col5\" class=\"col_heading level0 col5\" >deep</th>\n",
              "      <th id=\"T_a4c6a_level0_col6\" class=\"col_heading level0 col6\" >this</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_a4c6a_level0_row0\" class=\"row_heading level0 row0\" >I</th>\n",
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              "      <td id=\"T_a4c6a_row0_col6\" class=\"data row0 col6\" >0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a4c6a_level0_row1\" class=\"row_heading level0 row1\" >love</th>\n",
              "      <td id=\"T_a4c6a_row1_col0\" class=\"data row1 col0\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row1_col1\" class=\"data row1 col1\" >0.000000</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a4c6a_level0_row2\" class=\"row_heading level0 row2\" >data</th>\n",
              "      <td id=\"T_a4c6a_row2_col0\" class=\"data row2 col0\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row2_col1\" class=\"data row2 col1\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row2_col2\" class=\"data row2 col2\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row2_col3\" class=\"data row2 col3\" >1.000000</td>\n",
              "      <td id=\"T_a4c6a_row2_col4\" class=\"data row2 col4\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row2_col5\" class=\"data row2 col5\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row2_col6\" class=\"data row2 col6\" >0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a4c6a_level0_row3\" class=\"row_heading level0 row3\" >science</th>\n",
              "      <td id=\"T_a4c6a_row3_col0\" class=\"data row3 col0\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row3_col1\" class=\"data row3 col1\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row3_col2\" class=\"data row3 col2\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row3_col3\" class=\"data row3 col3\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row3_col4\" class=\"data row3 col4\" >1.000000</td>\n",
              "      <td id=\"T_a4c6a_row3_col5\" class=\"data row3 col5\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row3_col6\" class=\"data row3 col6\" >0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a4c6a_level0_row4\" class=\"row_heading level0 row4\" >and</th>\n",
              "      <td id=\"T_a4c6a_row4_col0\" class=\"data row4 col0\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row4_col1\" class=\"data row4 col1\" >0.000000</td>\n",
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              "      <td id=\"T_a4c6a_row4_col4\" class=\"data row4 col4\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row4_col5\" class=\"data row4 col5\" >1.000000</td>\n",
              "      <td id=\"T_a4c6a_row4_col6\" class=\"data row4 col6\" >0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a4c6a_level0_row5\" class=\"row_heading level0 row5\" >deep</th>\n",
              "      <td id=\"T_a4c6a_row5_col0\" class=\"data row5 col0\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row5_col1\" class=\"data row5 col1\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row5_col2\" class=\"data row5 col2\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row5_col3\" class=\"data row5 col3\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row5_col4\" class=\"data row5 col4\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row5_col5\" class=\"data row5 col5\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row5_col6\" class=\"data row5 col6\" >0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a4c6a_level0_row6\" class=\"row_heading level0 row6\" >this</th>\n",
              "      <td id=\"T_a4c6a_row6_col0\" class=\"data row6 col0\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row6_col1\" class=\"data row6 col1\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row6_col2\" class=\"data row6 col2\" >0.000000</td>\n",
              "      <td id=\"T_a4c6a_row6_col3\" class=\"data row6 col3\" >0.000000</td>\n",
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              "      <td id=\"T_a4c6a_row6_col6\" class=\"data row6 col6\" >0.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5uS2j0rUytbk"
      },
      "source": [
        "* 확률 행렬도 인접 행렬로 간주할 수 있음\n",
        "* 그래프 시각화시 빈도 행렬과 동일한 결과를 얻을 수 있으나, 확률을 가중치로 사용시 부정확한 결과를 얻을 수 있음"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qvK09OMeytiM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "de9ffcce-2422-4aa1-d4b4-1282d8de32a2"
      },
      "source": [
        "prob_G = nx.from_pandas_adjacency(df)\n",
        "\n",
        "print(prob_G.nodes())  # cpd.keys()와 동일\n",
        "print(prob_G.edges())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['I', 'love', 'data', 'science', 'and', 'deep', 'this']\n",
            "[('I', 'love'), ('love', 'data'), ('love', 'science'), ('love', 'this'), ('data', 'science'), ('science', 'and'), ('and', 'deep')]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NDwhyWPN3YOa",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "53d9d505-7699-49d8-f751-f1344bea67c8"
      },
      "source": [
        "print(G.edges()[('I', 'love')])\n",
        "print(G.edges()[('love', 'data')])\n",
        "print(prob_G.edges()[('I', 'love')])\n",
        "print(prob_G.edges()[('love', 'data')])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'weight': 3}\n",
            "{'weight': 1}\n",
            "{'weight': 1.0}\n",
            "{'weight': 0.3333333333333333}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R-P_YSj23YgN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 516
        },
        "outputId": "5762b148-8436-4b31-df14-2e87c704deee"
      },
      "source": [
        "nx.draw(prob_G, with_labels=True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ecrrZMfTzo-a"
      },
      "source": [
        "## 중심성(Centrality) 지수"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UD_m6Jr34IDY"
      },
      "source": [
        "* 연결망 분석에서 가장 많이 주목하는 속성은 바로 중심성 지수\n",
        "* 중심성은 전체 연결망에서 중심에 위치하는 정도를 표현하는 지표로, 이를 분석하면 연결 정도, 중요도 등을 알 수 있음\n",
        "* 중심성 지수는 나타내는 특징에 따라 연결 중심성, 매개 중심성, 근접 중심성, 위세 중심성으로 구분"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yeWdLGGtzv3y"
      },
      "source": [
        "### 연결 중심성(Degree Centrality)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-KlB1zAYoZIr"
      },
      "source": [
        "* 연결 중심성은 가장 기본적이고 직관적으로 중심섬을 측정하는 지표\n",
        "* 텍스트에서 다른 단어와의 동시 출현 빈도가 많은 특정 단어는 연결 중심성이 높다고 볼 수 있음\n",
        "* 연결 정도로만 측정하면 연결망의 크기에 따라 달라져 비교가 어렵기 때문에 여러 방법으로 표준화\n",
        "* 주로 (특정 노드 i와 직접적으로 연결된 노드 수 / 노드 i와 직간접적으로 연결된 노드 수)로 계산\n",
        "\n",
        "* 여기서 직접적으로 연결된 노드는 서로 엣지 관계인 노드를 뜻하며, 간접적으로 연결된 노드는 서로 엣지 관계는 아니나 다른 노드와 엣지에 의해 도달할 수 있는 노드를 말함"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V6Wpl3ctqJIr"
      },
      "source": [
        "* 연결 중심성 계산 수식\n",
        "\n",
        "$$ degree_{ik} = \\sum_{i=1}^{N} Z_{ijk} = Z_{jk}$$\n",
        "$$ outdegree_{ik} = \\sum_{j=1}^{N} Z_{ijk} = Z_{ik} $$\n",
        "$$ C_{i} = \\sum_{j=1}^{n}(Z_{ij}+Z_{ji}) / \\sum_{i=1}^{n}\\sum_{j=1}^{n}(Z_{ij})\\qquad단, 0\\le C \\le 1$$"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0MfaWMTTsjlh"
      },
      "source": [
        "* 해당 수식을 직접 계산할 수도 있으나,     \n",
        "`networkx`에는 해당 라이브러리로 구성된 그래프의 연결 중심성을 쉽게 계산해주는 함수가 존재   "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kAuXf3rhzwG6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "375cb502-df7a-41fc-f937-62b2a849410f"
      },
      "source": [
        "nx.degree_centrality(G)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'I': 0.16666666666666666,\n",
              " 'love': 0.6666666666666666,\n",
              " 'data': 0.3333333333333333,\n",
              " 'science': 0.5,\n",
              " 'and': 0.3333333333333333,\n",
              " 'deep': 0.16666666666666666,\n",
              " 'this': 0.16666666666666666}"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CcXMGpXkzwOC"
      },
      "source": [
        "### 위세 중심성(Eigenvector Centraility)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9hCmeXpGwYZE"
      },
      "source": [
        "* 위세 중심성은 연결된 상대 단어의 중요성에 가중치를 둠\n",
        "* 중요한 단어와 많이 연결됐다면 위세 중심성은 높아지게 됨\n",
        "* 위세 중심성은 고유 벡터로써 인접해 있는 노드의 위세 점수와 관련되어 있어 직접 계산하기는 쉽지 않음"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7gzAhV3Exw1K"
      },
      "source": [
        "* 위세 중심성 계산 수식\n",
        "\n",
        "$$ P_i =\\sum_{j=1}^{N-1}P_iZ_{ji},\\qquad0 \\le P_i \\le 1$$"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iLprc5-fyPqa"
      },
      "source": [
        "* 위세 중심성 계산에는 `eigenvector_centraility`를 이용해 계산\n",
        "* `weight`로는 어휘 동시 출현 빈도를 이용"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PynA3AxvzwTI",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e1dae996-286e-4ad9-ae63-91fa57bebda5"
      },
      "source": [
        "nx.eigenvector_centrality(G, weight='weight')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'I': 0.5718846192528665,\n",
              " 'love': 0.6858999776008722,\n",
              " 'data': 0.27132104050737627,\n",
              " 'science': 0.29033963658841894,\n",
              " 'and': 0.08744807770307057,\n",
              " 'deep': 0.024304567818784827,\n",
              " 'this': 0.19062820641763978}"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ucp7jIuVzwZ6"
      },
      "source": [
        "### 근접 중심성(Closeness Centrality)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "37sMX-YOydX2"
      },
      "source": [
        "* 근접 중심성은 한 단어가 다른 단어에 얼마나 가깝게 있는지를 측정하는 지표\n",
        "* 직접적으로 연결된 노드만 측정하는 연결 중심성과는 다르게, 근접 중심성은 직간접적으로 연결된 모든 노드들 사이의 거리를 측정\n",
        "* 근접 중심성을 측정하기 위해선 다음과 같이 계산\n",
        "\n",
        "  (모든 노드 수 - 1 / 특정 노드 i에서 모든 노드에 이르는 최단 경로 수를 모두 더한 수)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pe-cPBjI0Dgi"
      },
      "source": [
        "\n",
        "$$ C_C(A) = \\frac{1}{\\frac{1}{N-1}\\sum_{x \\ne A}l_{X,A}} = \\frac{N-1}{\\sum_{x \\ne A}l_{X,A}} $$"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2GuKUAJH05ap"
      },
      "source": [
        "* 근접 중심성을 계산하기 위해선 `closeness_centrality()` 함수를 사용"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zllK1iK9zwiM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fec3aade-0681-4af7-f51f-a67320154e75"
      },
      "source": [
        "nx.closeness_centrality(G, distance='weight')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'I': 0.23076923076923078,\n",
              " 'love': 0.5454545454545454,\n",
              " 'data': 0.46153846153846156,\n",
              " 'science': 0.5454545454545454,\n",
              " 'and': 0.42857142857142855,\n",
              " 'deep': 0.3157894736842105,\n",
              " 'this': 0.375}"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G1l7sHdtz35g"
      },
      "source": [
        "### 매개 중심성(Betweeness Centrality)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yEXo-gzV2sQQ"
      },
      "source": [
        "* 매개 중심성은 한 단어가 단어들과의 연결망을 구축하는데 얼마나 도움을 주는지 측정하는 지표\n",
        "* 매개 중심성이 높은 단어는 빈도 수가 작더라도 단어 간 의미부여 역할이 크기 때문에, 해당 단어를 제거하면 의사소통이 어려워짐\n",
        "* 매개 중심성은 모든 노드 간 최단 경로에서 특정 노드가 등장하는 횟수로 측정하며,     \n",
        "표준화를 위해 최댓값인 (N-1) x (N-2) / 2로 나눔"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ogCMdFoL1Ch4"
      },
      "source": [
        "* 매개 중심성 계산 수식\n",
        "\n",
        "$$ C_{B}^{'}(P_m) = \\frac{\\sum_i^N \\sum_j^N \\frac{g_{imj}}{g_{ij}}}{(\\frac{N^2-3N+2}{2})}, \\qquad 단, i<j,\\quad i \\ne j$$"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "efWuZV2P39hc"
      },
      "source": [
        "* 매개 중심성을 계산하기 위해선 `current_flow_betweenness_centrality()` 함수를 이용"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "nx.betweenness_centrality(G)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VlmmGmVDL9wl",
        "outputId": "44ae6d44-b7c4-490d-f950-0a5bd9395bce"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'I': 0.0,\n",
              " 'love': 0.6,\n",
              " 'data': 0.0,\n",
              " 'science': 0.5333333333333333,\n",
              " 'and': 0.3333333333333333,\n",
              " 'deep': 0.0,\n",
              " 'this': 0.0}"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q0rYR3wQz3-D",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7c1ec124-4878-4773-8caf-1761209bdc54"
      },
      "source": [
        "nx.current_flow_betweenness_centrality(G, weight='weight')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'I': 2.3684757858670006e-16,\n",
              " 'love': 0.6666666666666666,\n",
              " 'data': 0.2,\n",
              " 'science': 0.5999999999999998,\n",
              " 'and': 0.3333333333333333,\n",
              " 'deep': 0.0,\n",
              " 'this': 0.0}"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lhdU3ocgtNt-"
      },
      "source": [
        "### 페이지랭크(PageRank)\n",
        "\n",
        "* 월드 와이드 웹과 같은 하이퍼링크 구조를 가지는 문서에 상대적 중요도에 따라 가중치를 부여하는 방법\n",
        "* 이 알고리즘은 서로간에 인용과 참조로 연결된 임의의 묶음에 적용 가능\n",
        "* 페이지 랭크는 더 중요한 페이지는 더 많은 다른 사이트로부터 링크를 받는다는 관찰에 기초"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_YcT9iUDtfUZ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4cdbc978-96e5-439b-c954-1684c60b93e4"
      },
      "source": [
        "nx.pagerank(G)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'I': 0.14663145200300076,\n",
              " 'love': 0.2945926995228854,\n",
              " 'data': 0.11087954310502915,\n",
              " 'science': 0.16841261633177704,\n",
              " 'and': 0.1367662519690295,\n",
              " 'deep': 0.0795545721148967,\n",
              " 'this': 0.0631628649533812}"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EpC8ajLCr6a1"
      },
      "source": [
        "def get_node_size(node_values):\n",
        "    nsize = np.array([ v for v in node_values ])\n",
        "    nsize = 1000 * (nsize - min(nsize)) / (max(nsize) - min(nsize))  # MinMaxScaler\n",
        "\n",
        "    return nsize"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n-owk0_FsOSL",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "8fd4bdac-43ae-4cc3-96a7-2022101042a0"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.style.use('ggplot')\n",
        "\n",
        "dc = nx.degree_centrality(G).values()  # 연결 중심성\n",
        "ec = nx.eigenvector_centrality(G, weight='weight').values()  # 위세 중심성\n",
        "cc = nx.closeness_centrality(G, distance='weight').values()  # 근접 중심성\n",
        "#bc = nx.betweenness_centrality(G).values()  # 매개 중심성1\n",
        "cfbc = nx.current_flow_betweenness_centrality(G, weight='weight').values()  # 매개 중심성2\n",
        "pr = nx.pagerank(G).values()\n",
        "\n",
        "plt.figure(figsize=(15, 20))\n",
        "plt.axis('off')\n",
        "\n",
        "plt.subplot(231)\n",
        "plt.title('Normal', fontsize = 16)\n",
        "nx.draw_networkx(G, font_size=16, alpha=0.7, cmap=plt.cm.Blues)\n",
        "\n",
        "plt.subplot(232)\n",
        "plt.title('Degree Centrality', fontsize = 16)\n",
        "nx.draw_networkx(G, font_size=16,\n",
        "                 node_color=list(dc),\n",
        "                 node_size=get_node_size(dc),\n",
        "                 alpha=0.7, cmap=plt.cm.Blues)\n",
        "\n",
        "plt.subplot(233)\n",
        "plt.title('Eigenvector Centrality', fontsize = 16)\n",
        "nx.draw_networkx(G, font_size=16,\n",
        "                 node_color=list(ec),\n",
        "                 node_size=get_node_size(ec),\n",
        "                 alpha=0.7, cmap=plt.cm.Blues)\n",
        "\n",
        "plt.subplot(234)\n",
        "plt.title('Closeness Centrality', fontsize = 16)\n",
        "nx.draw_networkx(G, font_size=16,\n",
        "                 node_color=list(cc),\n",
        "                 node_size=get_node_size(cc),\n",
        "                 alpha=0.7, cmap=plt.cm.Blues)\n",
        "\n",
        "plt.subplot(235)\n",
        "plt.title('Betweeness Centrrality', fontsize = 16)\n",
        "nx.draw_networkx(G, font_size=16,\n",
        "                 node_color=list(cfbc),\n",
        "                 node_size=get_node_size(cfbc),\n",
        "                 alpha=0.7, cmap=plt.cm.Blues)\n",
        "\n",
        "plt.subplot(236)\n",
        "plt.title('PageRank', fontsize = 16)\n",
        "nx.draw_networkx(G, font_size=16,\n",
        "                 node_color=list(pr),\n",
        "                 node_size=get_node_size(pr),\n",
        "                 alpha=0.7, cmap=plt.cm.Blues)\n",
        "\n",
        "plt.show();"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-27-2ef1b4d83c82>:14: MatplotlibDeprecationWarning: Auto-removal of overlapping axes is deprecated since 3.6 and will be removed two minor releases later; explicitly call ax.remove() as needed.\n",
            "  plt.subplot(231)\n",
            "/usr/local/lib/python3.10/dist-packages/networkx/drawing/nx_pylab.py:433: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
            "  node_collection = ax.scatter(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x2000 with 6 Axes>"
            ],
            "image/png": 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sDVWWz1j4hVwul3r2O0U9+50iSSr69Rpy6NCh6tOnTwNtERoLgqcmLCsrS5I0aNCgKsM/3E499dRqr61du1bGGHXp0UuhoaE1fm6nzt0kSdnbtnhe27R2tSSpz4DBNa4TFR2jNnEJKjp4ULt+sVd7/5RTTlFQUFCtNdrtdhUUFNT42QBanuNp33r1qr1969q1qyRp69atntdWrFjh+a6axMTEKD4+XgcOHFBOTk6192nfAABAc3Ho0CEtWbJE77zzjl555RW9+OKLeu3lF7Vza+W5WZ59T7V12nXoqMio6oFVfFJbSdKBwqrnQdu3VH5W30HDJFWGEsWHdV6o6TwPTVu9h9r5Yh6e5viEjhOxTe4Lmbi4uBq/JyIiQmFhYSouLvY89SkvL0+StGzJt1q25Nujfv6hQwcli1RaWiZ7TmUD88zDfztmXQcPHZLFkiDpt+2vrcawsDBFRETo0KFDKigoUExMzRPPNTR+5xo/tqdlc7dvNU0ELknh4eGe9s0tNzdXkvTtt9/q22+P3r65h+m552iKjIzU3//+92PWdejQoWqv1TaHSmhoqKd9y8/Pr/EOIgAAQGOxaNEivfXWWyorK6vyerFDcvf5LispqbZe6yMeTJWXl6eiokMK+rU3uKOiosr77iAqOrbyPM9ikVyHvc/8dM1PvYInX/8CNMcndPhym1q1aqWQkBDFxMQoKSmpxmVCQ0Plcrk8T32KjIysfApUfHu1TU456uenn9RVIcEh+vnn3SotLVFISIj6DxqqoODg2lcyUlx8vKce9/cdq0aHw6G4uLhal/EVfucaP7YHdeUeBpeSkqLk5OSjLpueni5Jys7O1q5du9SqVSudd955CgkJOep64eHhx1UbAABAY5Sdna3XXntNVqtV06ZNU58+fRQbG6vg4GBlF1n03aJF+ug/r9a4rtXy20Cq/Px92rVrlwJtNhUW5Ku4uESRUa4a13MzRuLWbPNWr+Dp8KcNNaSm9DSRujoR2xQQEKDS0lJt3rxZ/fr1q/Z+cXGx9u3bJ0mepz651+mZmqZzpl9e7elzRyotK1VQUJBCQsMll1PDx4xXh45ptS7vMlIrm0t79lT2kHI/9WnLli2e1w5XUlLi6YXlcDhqXMYX+J1r/Jr79vC0oaOLioqSJO3du7fG94uLi6v0dpLk6THZqVMnXXbZZXX6nm7dumnAgAHKyMhQRUWFV0+gc7dhRyopKfH0kDpRvTkBAAC8sWLFChljNGbMGJ155plV3gu0SHtzq083cKTy8jL9/PNuxcW1UXJysrK3bZXT6VBhYaF++eUXJSQkKCAgQJFR0SrYt1cF+/Yqvm17mV+/w6228z80XfWe48n9FI2G/ufLz/bXP19vk3uukuXLl6uioqLa+4sXL672c+vVq5ckaePq71VeVl7ZZ/IY/8LDwtQhtZOcLqfWrFx2zOWDra5q+2HZsmUqLy+vVuN3330nSUpISFB0dHSz+vk0x985tqfhtgdHd3j7VtMNjyVLllR7rXfv3pKkH374QeXl5XX+rkmTJik5OVnz5s3Tf//733rX6m6Dj7R06VJJle0bwRMAAGjMioqKJNU8zUGwq1wbVq88xicY7dz5k2w2m9q1bSfJoqioGEVEtFJoWKj27t2rTZs2Ki8vTx07dZEkrV5eea5kjBQR+Nsnua8R0XwwuXgTNnDgQEVHR2vfvn16//33q1zM/vzzz/rkk0+qrZOSkqIBAwboYOE+vfb8k8rfV/1OfVlZqb5f9p0OHtgvqXIoXN/BpyowMEjffDlPC7/4X40Xgvv25ur7ZUsUHFD9orqwsFBvv/22XK7fulnu3r1bH374oaTKp00BgNvxtG/5+fl6+umna7xbVlpaqqVLl2r//v2e18477zwlJycrKChIL7/8sj766KNq6+Xl5dV6EkT7BgAAmrq2bSsnAl+yZIlKDpvHqby8XB/853UV1HDdeDi7PVdFRUVKSUmR9bAn/VosUmhIqLp166bWraO0e/duxSenyul0au2q5drww0pZLFLYr6tkZmZq1apVDb+B8Kt6Ty6OxiMoKEjXXnutHnvsMc2bN0+rVq1SamqqDh48qM2bN6tPnz7asWNHtYuvmTNnqri4WKvWrdUDd9+qtskdFBNbOeQnf1+efvn5JzkdTt1+38NqFdlaVqtV8fGJOu+iK/S/D97SJ+//Rwvnf6rEdslq3TpKJcXFyrXvUV6uXelp6TpnVPUnQ40cOVLffvut1qxZo/T0dBUVFWnTpk1yOBzq37+/Ro0adUL2GYCm4Xjbt7Vr1+r2229XcnKyZ0hjXl6edu3aJYfDoQceeECtW7eWVHln749//KOefvppbd26VX/96181b9489enTRyUlJdqzZ4/sdrvS09M1bNiwarXSvgEAgKZu+PDh+uKLL7Rz507deuut6ty5s6xWq7Zs2aLy8nINHzVOi7+eX+O6FRUVysnJUUJCfK3zYQYGBv56XtZGu3f/opP7D9aKxQs057knlN6ps05qH6+cnBxlZ2dr3Lhxmj+/5u9C00Tw1MR17dpV9957r+bOnausrCx9//33iouL07nnnqsJEyZo1qxZ1dYJDQ3VrFmztOi75Vq0JEO7f8rWLz//pODgULWOilL/U4bp5N79FBsX71knLDxMAQFtdft9D2vJgi+0cd1q7dqxXdmOCrVq1VpRMbHqe8pQjRrSt8Y609PTNXLkSH3wwQdav369ysrKlJCQoBEjRmjMmDE86QtANcfTvi1btkxLly71TB4eEhKiqKgoDRkyRH379lV8fHy175o9e7a+/PJLvfvuu1q2bJlycnKUmpqq2NhYDRkyRAMGDKixTto3AADQ1IWFhekvf/mLPvjgA23YsEHr1q1TeHi4evTooXPOOUc/bNyixV9XX88YKb8gXyEhIUpMPPaDokJCQtUpPV3t21+lNglJWpW5WBt+WKF9P8eqU6dOuuGGG5Samkrw1MxYTD0mG8nLy6txHovjLsJiUVJSkvbs2dNs5j5pCttkjJRbZlO50yLrMa6L9uXna/fu3epx8smyWquP0HQaKTLQqaigqk8sePHFF7VkyRLNnDlTw4cPb8jyj0tT+PnUV3Pbpua+PYGBgUwuXgNfHWdqU9PvmTFGr7zyipYsWaLrr7++1sDpRLdvTelvglp9g1p9o7nWynGmdif6WHOiNKXf5aaCffobY6QdRVLZEdeOu3f/rH379qlz5y7HfDqwm0VScEiIiktKlZ/7i95++gEVFxdr7NixmjRpksLCwnyzEc2Yv35X63qsYY6nFsxikdoEO2S1VD6N7mjCw8IkGRWXFFd7zykpOMCodeDRH5MJAE2BxWLRFVdcoQEDBui5557T+vXr/V0SAACAX1ksUrtf8yB3rnHw4EHl5e1VUlLbOodObsYYWSzSwPQkPfzww5o4caK+/PJLzZo1S1999VWNcwqj6SJ4auECLFJiSIUCrJUBUm1CQkJktQZUeXy5MZWBVbDVKC7YIUaTAGgurFarfve73+nkk0/WU089pa1bt/q7JAAAAL8Kskrtw4yMJIfDoZ9+2qlWrVrVu3el+zoyOUwKtFZea5533nl66KGH1KdPH73xxhu66667tGrVqhbf06y5IHiCAqyV4VN4gEsuU0vvJ4sUER6u4qJiT0Mhi9Q6yKn4X3tNAUBzYrPZdMMNNygtLU2PPfaYdu7c6e+SAAAA/CoiUGof6tLu3btlCbCpQ4cO9VrffR15clIrhQdWfS8mJkYzZ87Ufffdp5iYGD311FN68MEHlZ2d3XAbAL8geIIkyWqRYoOdSgh1KCSgMsV2qXLuJncY1ap1a5WWl8tikcJtTiWGVCgy0HXUnk5XX3215syZ06jmdwKAugoKCtIf//hHJSUl6ZFHHtHu3bs979G+AQCAlmjtygy9+8xsJcW0VoAt8JjTtki/XVOG2YzSW0lRoYG1LpuSkqJZs2bp5ptv1oEDB/SXv/xFzz//vPLz8xtwK3AiETyhiiCrUVyIQ21DK5QQ7FB0kFOtAp2KtLkUrhJ9NOdZhZblKibYJRu/PQBagNDQUN1yyy1q3bq1HnnkEeXl5fm7JAAAAL/Yt2+f/v3vf6t/3z4a1ClRHSOMwm1GRkYuIzldlZ0XnL/+t8tUDq2LsBl1jDDqEK46XUdaLBb17t1b999/vy6//HKtX79et99+u95//32VlJT4fkPRoIgOUCOrRQoKMGoV6FJUkEtRwS51S22n/fl52kFXRwAtTEREhG699VYFBQXp4YcfVkFBgb9LAgAAOKGMMXrxxRcVEhKiyy67TJIUEiAlh0udW0kdI4ySwozaBBvFBVf+d8cIo86RRu3DK5etr4CAAI0cOVIPP/ywxo0bp/nz52vWrFn6+uuv5XQebZZiNCYET6iz2NhYRUdHa/v27f4uBQBOuOjoaM2aNUsOh0MPP/ywDh486O+SAAAATpj58+crKytLV199tcLCwqq8Z7FUBktRQVJciNQmpPK/QwLUIA+hCg0N1dSpU/XQQw+pR48emjNnju6++26tXr2aCcibAJu/C0DTYbFYlJqaqm3btvm7FADwizZt2mjWrFmaPXu2Hn30Ud1xxx0KDQ31d1kAgHqyNMPHMbu3qTlum7+wT3+za9cuvffeexo/frxOPvnk4/qs49mvsbGxuvbaazV+/Hj95z//0RNPPKGTTz5Z06dPV0pKynHV1ZQ19t9VgifUS3p6uj799FMZYxrtLzUA+FJSUpJuu+02PfDAA3riiSd0yy23KDg42N9lAQDqqL6Pfm9qEhMT/V1Cs9PS92lFRYVmz56tTp066YYbblBQUFCDfO7x7NekpCQNHjxYK1as0CuvvKLZs2dr1KhRuvTSSxUbG9sg9TVFjfV3leAJ9ZKWlqaSkhLt2bNHbdu29Xc5AOAXHTp00C233KKHH35YzzzzjG666SbZbBxSAaApyMvLk8Ph8HcZDc5isSgxMVE5OTkMPWog7NNKb7/9tn788Ufdd9992rdv33F/XkPu1+TkZN1111365ptv9MEHH+jLL7/UxIkTNXHiRIWEhBx3rU2Fv35XbTZbncJ8zpJRL6mpqbJYLNq2bRvBE4AWrVOnTrrpppv0+OOP67nnntN1112ngAAvZs0EAJxwzTlEMMY06+3zh5a8T7OysjRv3jxNmzZN7du3b9D90FD7NSAgQKNGjdLgwYP16aef6n//+5++/vprTZkyRaeddpqs1pYztXVj/V1tOT8BNIiwsDAlJSUxwTgASDr55JN1/fXXa9WqVXrllVca5YEeAADAG8XFxXrhhRfUpUsXjR8/3t/lHFNYWJimTZumBx98UCeffLJeffVV3XPPPVq3bp2/S2vxCJ5Qb2lpacrOzvZ3GQDQKPTr10/XXHONvvvuO7355puETwAAoFl44403VFxcrKuvvrpJ9Rpq06aNrr32Wt17770KDw/Xo48+qkceeUS7du3yd2ktVtP57UGjkZaWpl27dqm8vNzfpQBAozBkyBDNmDFDX375pT744AN/lwMAAHBcVqxYoe+++06XXnqp2rRp4+9yvJKWlqY777xTf/jDH5SXl6d77rlHL7/8sgoKCvxdWovDHE+ot7S0NDkcDv3000/q1KmTv8sBgEZh5MiRKi0t1dtvv63Q0FBNnDjR3yUBAADUW0FBgV577TUNHDhQQ4cO9Xc5x8Visah///7q3bu3vv76a3300UdatmyZJk6cqPHjx7eoCcj9ieAJ9ZacnKzAwEBt376d4AkADjNhwgQVFxfrnXfeUWhoqEaOHOnvkgAAAOrMGKOXX35ZNptNl19+uSwWi79LahA2m01jx47Vqaeeqo8//liffPKJFi5cqClTpujUU09tUkMJmyKCJ9SbzWZThw4dmGAcAGpw3nnnqaSkRHPmzFFwcHCTv1MIAABajgULFmjdunW69dZbFRER4e9yGlxYWJimT5+u0aNH67333tPLL7+sL774QtOnT1ePHj38XV6zRawHr6SnpxM8AUANLBaLLr74Yp166ql68cUXtWrVKn+XBAAAcEy//PKL3nnnHY0ZM0Y9e/b0dzk+FRcXp+uuu0733HOPQkJC9Mgjj+ixxx7T7t27/V1as0TwBK+kpaXJbrfr0KFD/i4FABodi8WiK6+8Uv3799ezzz6r9evX+7skAACAWjkcDj3//POKjY3VtGnT/F3OCdOpUyfddddduuGGG5STk6O77rpLr732mvbv3+/v0poVgid4JS0tTZLo9QQAtbBarbr22mvVvXt3PfXUU9q6dau/SwIAAKjRRx99pF27dumaa65RcHCwv8s5oSwWiwYOHKjZs2frwgsv1PLly3Xbbbfpo48+UllZmb/LaxYInuCV+Ph4RUREKDs729+lAECjZbPZdMMNNygtLU2PP/64du7c6e+SAAAAqvjxxx/1ySef6Oyzz/Z0MGiJAgMDNW7cOD388MM6/fTT9fHHH+uOO+7QkiVLZIzxd3lNGsETvGKxWJSWlkaPJwA4huDgYP3xj39UQkKCHn30Ue3Zs8ffJQEAAEiSSktL9cILLyg9PV2TJk3ydzmNQkREhC666CLNnj1b6enpevHFF3Xvvfdq48aN/i6tySJ4gtdSU1O1bds20l8AOIbQ0FDdeuutatWqlR5++GHt3bvX3yUBAADoP//5jwoLC3XNNdcoICDA3+U0KgkJCbrhhht09913y2az6aGHHtITTzyhX375xd+lNTkET/Baenq6Dh48yAUUANRBRESEbrvtNtlsNj388MMqKCjwd0kAAKAFW7VqlRYtWqSLL75YCQkJ/i6n0TrppJN0zz336LrrrtPPP/+su+66S3PmzNGBAwf8XVqTQfAEr6WmpkpignEAqKvo6GjNmjVL5eXlevTRR3kyKAAA8IsDBw7o1VdfVd++fXXaaaf5u5xGz2KxaNCgQXrggQc0bdo0ZWZm6rbbbtOnn36q8vJyf5fX6BE8wWuRkZGKi4vTtm3b/F0KADQZcXFxmjVrlvbv369HH31UJSUl/i4JAAC0IMYYvfzyy5KkK6+8UhaLxc8VNR1BQUGaMGGCHn74YQ0fPlwffPCB7rjjDi1dupQpaI6C4AnHJT09nR5PAFBPbdu21W233Sa73a4nn3ySO2UAAOCE+fbbb7V69WpdeeWVioyM9Hc5TVKrVq10ySWX6O9//7s6duyo559/Xvfdd5+ysrL8XVqjRPCE45KWlqadO3fK4XD4uxQAaFJSUlJ08803a/v27XrmmWdoRwEAgM/Z7Xa9+eabOv3009W3b19/l9PkJSUl6Q9/+IPuvPNOSdIDDzygp556iqcYH4HgCcclLS1N5eXl2r17t79LAYAm56STTtJNN92kDRs26Pnnn5fL5fJ3SQAAoJlyOp164YUXFBUVpQsvvNDf5TQrXbt21b333qtrr71WO3fu1F133aU33nhDBw8e9HdpjQLBE45LSkqKrFYrw+0AwEs9evTQddddp5UrV+rVV19lfgAAAOATn376qbZt26ZrrrlGISEh/i6n2bFYLBoyZIgefPBBnXfeeVqyZIlmzZqlzz77rMVPq0DwhOMSFBSk5ORkgicAOA79+/fXzJkz9e233+qtt94ifAIAAA1q+/bt+uijjzR58mR16tTJ3+U0a0FBQZo0aZIefvhhDRkyRO+9957uvPNOZWZmtthzPJu/C0DTl5aWpi1btvi7DABo0oYNG6bS0lK9/vrrCg0N1XnnnefvkgAAQDNQVlam559/XsnJyTr77LP9XU6LERkZqcsuu0xjxozRu+++q+eee07z58/XRRddpJNOOsnf5Z1Q9HjCcUtLS9Mvv/zCI8EB4DiNHj1a559/vj766CPNmzfP3+UAAIBm4N1331V+fr5+97vfyWaj78mJ1rZtW/3xj3/U7bffLqfTqfvvv19PP/207Ha7v0s7YQiecNzS09NljNGOHTv8XQoANHmTJk3S5MmT9fbbb2vhwoX+LgcAADRh69at01dffaULLrhAbdu29Xc5LVr37t1133336ZprrtH27dv15z//WW+99ZYOHTrk79J8jrgTxy0pKUnBwcHatm2bunXr5u9yAKDJmzJlikpKSjRnzhyFhoZq8ODB/i4JAAA0MYcOHdJLL72knj17avTo0f4uB6qcgHzYsGEaMGCA5s+fr08//VSLFy/W2WefrdGjRyswMNDfJfoEPZ5w3KxWq9LS0pSdne3vUgCgWbBYLLrkkks0dOhQvfDCC/rhhx/8XRIAAGhCjDF67bXX5HA4dNVVV8lisfi7JBwmODhYZ511lh555BHt3r1bt99+u26++WYtX768WU5ATvCEBpGWlqZt27b5uwwAaDYsFouuuuoq9e3bV88++6w2btzo75IAAEATsXTpUq1YsUKXX365oqOj/V0OatG6dWuddNJJ6tq1qxISEvTss8/q/vvv148//ujv0hoUwRMaRGpqqgoKCpSfn+/vUgCg2QgICNC1116rLl266Mknn9TmzZv9XRIAAGjk9u7dq3//+98aNmyYBg4c6O9yUAchISG69tprddttt6m8vFx/+9vf9OyzzyovL8/fpTUIgic0iPT0dEliuB0ANLDAwEDdeOON6tChg+69917t2rXL3yUBAIBGyuVy6cUXX1R4eLguueQSf5eDeurRo4fuu+8+zZw5U1u2bNEdd9yht99+W0VFRTWvYAmQJShMluAIHShxyGILltT4hlUyuTgaRExMjKKiorRt2zb179/f3+UAQLMSEhKim2++WU8//bQeeugh/fnPf1ZSUpK/ywIAAI3M559/rs2bN+uOO+5QWFiYv8vBr3bv3q25c+dq06ZNKi8vV1xcnIYPH65x48ZVW9ZqtWr48OHq16+f/vGPf+if//ynHn/8cSUkJKhTp07q3bu3zjrrLMUmdZDFGiDJyCKLnC6j/2fvvsOjKtP3gd9nekmZmXRC2mQCgdClqYANRERAQNym4q51d3+uBUV3/eoW3bWsrO66Nqy4rqvSVCyAIoqCSDeUBNKAhLSZTCZtJlPP74+QSEwogZmcZOb+XJeXMHPKcyaFmfu87/MKCjUamlrw8QerkL97J+rq6iAIAgYMGIALL7wQl156KeRyeafzvfzyy/jmm29w8803IyMjA++//z4OHToEt9uNpKQkTJkyBVOnToVMdvbjljjiiYLGbDajtLRU6jKIiMKSTqfDX/7yF0RHR+PJJ59EXV2d1CURERFRH3L06FGsXLkSM2bMQG5urtTl0HGHDh3Cn//8Z2zfvh06nQ5jxoyBwWDAihUr8Nxzz3W7j8vlwr/+9S8UFhYiOzsb2dnZaGxsxK5du/D++x/g4T/9GUePHgHwQyNyQRBQcGA//nDfPVi/bh28/gDy8vIwaNAg1NbW4q233sI//vEP+Hy+bs9ZWlqKRx55BEeOHMHQoUMxaNAgVFVV4b///S+ef/75c2p6zhFPFDTZ2dlYs2YNRFHkqglERCEQExOD++67D3/96187Rj4ZDAapyyIiIiKJeTwevPTSS0hJScG8efOkLoeO83g8eOGFF+B2uzF9+nT89Kc/7Rg5VF5ejieeeAJNTU1d9lu2bBkKCwsxatQo3HTTTYiJiUF5eTneffddNLs8OLB/H55Z8ncs+ee/O47nqK/Hv55+Ck5nCxb+6iZcOnU6RE8LEPCjubkZ//73v7Fv3z58/PHHmDNnTpdzfvHFF7j00ktx3XXXdYyKOnbsGB5//HFs374dX375JS655JKzeh044omCxmw2o7W1FZWVlVKXQkQUtkwmExYvXgy3242nnnoKzc3NUpdEREREElu1ahWqq6tx2223QalUSl0OHbdjxw7Y7XaYTCZce+21naarpaWlYdasWV32OXbsGLZu3QqDwYDbb78dMTExHdvfe++9WPz7/0POoMEoLSnBuk8/gcfjAQB8+vEaNDc347LLr8Bl06ZDEABBoQEAREVF4dZbb4VCocDnn3/e7eglg8GAn/3sZ52m4qWmpmL27Nltx//007N+HRg8UdBkZWVBEAROtyMiCrHExEQsXrwY9fX1WLJkCVwul9QlERERkUQOHDiAtWvXYsGCBUhLS5O6HDpBYWEhAGDChAlQKLpOOJs0aVKXx/Lz8yGKIkaMGAGtVtv5SZkCUdHRmDR5CrRaLQoLDqCwoACVlcewc+f2tnNNvKBjc+GEEMlkMiExMRGNjY2orq7uct7x48dDpVKdtMaamhrU19efwVV3xal2FDRarRYpKSkoLS3F5MmTpS6HiCispaam4t5778UTTzyBf/7zn7jnnnu6fbNARERE4cvpdOLll19Gbm5ut42qSVrtQU18fHy3z+v1euh0Ojidzo7HamtrAQCbNm3Cpk2bOu8gyDoaiqtUSkRHRSMxMQnNzc2wHt/vr39+qNMuor9rT6fuRswnJCR0W6NWq0VUVBSam5tht9thNBq7v9hTYPBEQWU2m1FSUiJ1GUREESErKwv33HMP/v73v+O5557DHXfc0e3dNCIiIgpPb775JlpbW3HLLbewz26YaJ8Gl5GR0XUEmyCDoFCjvam4ZdAgJKckd9pv3ISJUKs1PxzP29rlHHq9/pxq6ym+O6Wgys7OxrfffguPx8M770REvWDQoEH43e9+h2eeeQZLly7F7bfffk7L3RIREVH/8N133+Hbb7/Fbbfdhri4OKnLoW60LwJjs9m6fd7pdHYa7QS0TYkDAIvFghtuuKHLPjJtTJfHBAgwxcWh8tgxzJw1B+ZsC4C20U6ix9ll++5YrdZuH3e5XB0jpNpr6ym+M6WgMpvN8Pv9OHr0qNSlEBFFjOHDh+P222/Htm3b8MYbb5zTcrdERETU99ntdixbtgwTJkzA+eefL3U5dBK5ubkAgG3btsHn6zrl7Ztvvuny2MiRIwEAu3fv7mgcfiLR5wXErqPbRo0e03aurd8ef0TodrTTyWzbtg1er7fL41u2bAEAJCUlMXiivmHgwIFQqVScbkdE1MvGjRuHm266CV999RXeeecdhk9ERERhShRFvPLKK1CpVLjhhhs4xa4PGzduHIxGI+rq6rBixYpO788qKiqwZs2aLvtkZGRg7NixsNvtePbZZ7uMlhK9LrS2OrHl66/R0ODoeHzW7LnQ6XRY+8lH+OSjNfC2NgNioNO+VqsVmzdv7rZWh8OBd955B4HAD/scO3YM77//PgCcUw8xTrWjoFIoFMjIyODKdkREEpg8eTJaW1vx1ltvQafTYc6cOVKXREREREH22WefYf/+/bjvvvsQFRUldTl0CiqVCrfffjuWLFmCTz/9FLt27UJWVhaamppw8OBBjBo1CocPH+4SLt18881wOp3Iz8/H/fffj7S0tI7m31arFeXl5fAFRDyx5J+IjW1r9m2Ki8NdixbjX88swf/+8wY+fn8FUlNTYTAY4HK5UFVVhZqaGmRnZ+PCCy/sUusll1yCTZs24fvvv0d2djZaWlpQUFAAn8+H8847D5deeulZvw4MnijozGYz9uzZI3UZREQRadq0aWhtbcWKFSug0WhOe3fK4xdhbw2gusWHGqcfbn/b4zIBMKhlSI2SI04jR7RK4B1VIiIiiR07dgzLly/HtGnTMGzYMKnLoTOQm5uLP/7xj1i9ejUKCwuxc+dOJCQkYO7cuZgxYwYWL17cZR+tVovFixfju+++w5YtW1BWVoby8nJoNBoYDAacf/75GD16NOJjdRB9rYBMAaVcg8E5ZvztkT/j888/x549e1BWVgafz4eYmBjExcXh/PPPx9ixY7utMzs7G5dccglWrVqFffv2we12IykpCRdddBGmTp16Tu8DGTxR0JnNZqxbtw5NTU2Ijo6Wuhwioogza9YsuFwuvP3229BqtZgyZUqXbepcfuyxelDTEoA/IEIUAKUMkB1/UyGKIhrcAZQ4fFDIAI1CQF6cEtkGJZQyBlBERES9zefz4aWXXkJ8fDyuvfZaqcuhHhg4cCDuuOOObp9bsmRJt48LgoCJEydi4sSJpzy26HUDggdRcbFoqvciJiYG8+bNw7x583pcZ0ZGBu6+++4e73c6DJ4o6MxmMwCgrKwMI0aMkLgaIqLItGDBArhcLrz22mtQq9WYMGECAKDFG8BXFa2wuwIQBEAhEyDvJkgSBAEKAVAc7wbp9YvYVuXB7loPzktUI8eo4AgoIiKiXvT++++joqICDz/8MFcQp36FwRMFXUJCAqKiolBaWsrgiYhIIoIg4IYbbkBrayteeuklqFRqaDPysLPGDQBQynsWGgmCALWibSTUd9VulDR4cdFADXRKrlNCREQUakVFRfjoo48wf/58ZGZmSl0OUY/w3SIFnSAIMJvNXNmOiEhigiDg5ptvxoiRI/HWpr34srQe8uOjnM7lmCq5AHtrAB+VutDoCZx+JyIiIjprLpcLL730EiwWC2bOnCl1OUQ9xuCJQiI7OxulpaVczpuISGIymQzj5t8M0+CxKC8rgcvpCspxFTIBvoCIT0pdaPYyfCIiIgqVt99+G42Njbj11lshk/EjPAXXLbfcgmXLlmHy5MkhOwe/aykkzGYzmpubYbVapS6FiCiilTh8KG0UYc4YCK1Wi5LSErS6ghM+yWUCAqKIzw67EDjhRoPNZsOsWbNwzz33BOU8REREkWrnzp3YtGkTrrvuOiQmJkpdDtFZYfBEIZGVlQUAKC0tlbgSIqLI5fIFsL3G3bZanUwGs9kMlUqF4pISuN3uoJxDLhPQ7BWxq8YTlOMRERFRG4fDgddffx1jxowJ6WgUolBj8EQhER0djaSkJAZPREQS+rrCDb+IjtXn5HI5srOzoZDLUVJcDK/XG5TzqOQCCuu9cLg55Y6IiCgYRFHE66+/DkEQ8Mtf/pIryVK/xuCJQiYrK4vBExGRRBo9AVhdfih/1EhcoVAg22IBBAHFxcXweX1BOZ8AYFdNcEZRERERRbovv/wSe/bswU033YSYmBipyyE6JwqpC6DwZTabsWvXLvh8PigU/FYjIgq1kpIS7NixAwUFBSissMLe2Ay1VoeEgZkYdsGlSLUMBQAolUpkZ2dj08ersO6FRzFq8mW4cM4vsGfjxyjbtwvNDjvUWh0G5uRh7OVXQx9r7PZ8Rwvzkf/1etQdOwpBJsCQNBD6n8+CJSuzF6+aiIgovFRXV+Ptt9/GJZdcglGjRkldDtE544gnCpns7Gx4PB5UVFRIXQoRUURYsWIFPv30U3i9XmgT05A5dBT0MUaUF+7Fp6/9E/s2b+jYVq1WI2VACkQxgOpjx/DhC4+jYNsmGBJTkDZoGEQARbu3Ys3Sv8PtcnY5177Nn2P9m8+huqwIhqQUDBw0HF6fF08ueQbr16/vxasmIiIKH36/H0uXLoXRaMRPf/pTqcshCgoOQ6GQSU9Ph1wuR2lpKTIzM6Uuh4go7M2YMQO33norBF0sPi51QnF8ml3N0RKse+Nf2LZ2JbKGjekYwaRSqaDT6VFVcgBJWYPxk0V/hVqnBwC4XS345NWnUVdZjoLvvsKoi2d0nMdeXYHvPl0JQRBw6c9uQdaw8wAAAVFE7YHtWPfhMqjV6l6+eiIiov7vo48+QllZGR588EFoNBqpyyEKCo54opBRqVQYOHAgSkpKpC6FiCgijBgxAkajEXUuP3wn9PlOSs/GkIkXI+D340jB9532kcvliIk1Iuf8aThWXQNRFAEAaq0eI6dMBwBUlhR02mf/li8gBgLIGn5eR+gEADJBQOqw8Rg9enSIrpCIiCh8lZSU4P3338fs2bNhsVikLocoaDjiiUIqOzsbhYWFUpdBRBQxmpub8dmX21BYVg5fqxOBQFsC1VhXCwBosFV32Scpw4zcvOEoLSvD0aNHkZGeDggCDIkpAICWRken7avKDgEALKMmdDmW1y/i/AsvxIEDB4J5WURERGGttbUVL730EjIyMjBr1iypyyEKKgZPFFJmsxkbN26Ey+WCVquVuhwiorD25Zdf4u2338YxhxNuf9tKcz/maW3t8liUwYTomBhkZGTg8OHDUCgUSE1NhVLd9nvb7+u88l17EBVtjO9yLFEQYDB1fZyIiIhO7t1330V9fT3uvvtuLsxEYYff0RRSZrMZoiiirKwMQ4cOlbocIqKwVVZWhjfeeAMymQyTrpwPg3kYoo1xUChVEAQBBds2YfP7/+12X0Fom3lvMBiQnp6OiooKKORy6NTKnhciAuK5XAgREVGE+f777/HFF1/ghhtuQEpKitTlEAUdezxRSA0YMAAajQalpaVSl0JEFNa2b98OURQxdepUXHDZDMQmpECpUkMQ2sY9tU+1Ox2TyYSkxERUVVfD4ajvdht9jAEA0FRv6+ZZEQ573dlcAhERUcRpamrCK6+8ghEjRuDSSy+VuhyikGDwRCElCAKysrLYYJyIKMRaWloAAPHx8UjQyeA9obm4z+vB4f27zvhYScnJiIuLw7FjlfD5fV2eT84aBAAo3rOty3MKmYDvtmzuYfVERESRRxRFvP766wgEAvjVr37VcbOIKNwweKKQM5vNHPFERBRiAwYMAAB88803iJF5IT/+3tXn9WDLh/9DUw9HIQ0cOBBRUVFwOZ1dejzlTbwYgkyGsn07cXj/7o7HRVHEsf3bsWvXmYdcREREkeqbb77Bzp07ceONN8JoNEpdDlHIsMcThVx2djY+/vhj2O12mEwmqcshIgpLkydPxvr163HkyBH89cH74IkzQyYTUH24GH6vF3kXXIr9W7444+MJgoC0tDQIMhmamprg9XqhVLb1fIobkI5xl1+NbWtX4fP/vojEtCxEmxJQb6uBu/Yorp09A1999VWoLpWIiKjfs1qteOuttzBp0iSMGzdO6nKIQoojnijkzGYzAHC6HRFRCOl0OvzpT3/CpZdeiuioKNQW70PNkVIMzBmKuf/vQcQNSOvxMWUyGfQ6HSC0/Q73+/0dz42YMh3Trv8NkjItqK+pxNGC7yGXy3H3nXdg+vTpwbw0IiKisBIIBLB06VJERUXhuuuuk7ocopDjiCcKOaPRCKPRiLKyMqb5REQhFB0djYULFwIAalp8WH+kFarjc+5i4hIxaMwFnbYfNOaCLo91Op4xDrc89jLcra04VFSEsrIyZJvNEGRt960yhoxExpCRAICAKCJaJcNFZh0EQcCaNWtQVVUFUeQad0RERCf65JNPUFRUhN///vfQarVSl0MUchzxRL0iOzubfZ6IiHpRok4OvVJAIAjBj1qjgTkrC86WFhwtL+92G18AGJWgOudzERERhbMjR45g9erVuPLKKzF48GCpyyHqFQyeqFdkZWWhtLQUgUDg9BsTEdE5EwQBU1LV8AdpwJE+KgrpGRmor69HVWVlp+e8fhFJOjlSo+TBORkREVEY8ng8ePHFF5Gamop58+ZJXQ5Rr2HwRL3CbDbD7XajqqpK6lKIiCJGvE4Bi0EJT5DSJ4PBgAEDBqCmthZ1NhuAtpXs5DJg8kANl4EmIiI6hRUrVsBqteK2226DQsGuNxQ5GDxRr8jKyoIgCGwwTkTUy8YlqWDUyOANUviUmJiIhPh4lFdUoMHRAF8AmJKqgVbB0ImIiOhk9u3bh3Xr1uHaa69Famqq1OUQ9SoGT9QrtFotBgwYwD5PRES9TC4TMD1Di1i1DN5AcMKn1NRUxMTG4mhlFcwyO1KjedeWiIjoZFpaWvDKK69g6NChmDZtmtTlEPU6Bk/Ua8xmM4MnIiIJKOUCZmRpkayTw+MXz3mlOW8AyEzPgProDvzvub+jtrY2SJUSERGFnzfffBNutxu33HILp6VTROrxLcpQ/KC0HzOcfgjD7ZqCcT0WiwWbN2+G1+uFSiXtykfh9vUBwu+aeD1EwaWQCZiaocXhBi+2Vnng8YtQynr2PekPiPCLwIAoOSalauBJ+zkeeeQRPPXUU3jooYcQHR0dwisgIiLqf7Zu3YqtW7fi17/+NUwmk9TlEEmiR8FTQkJCqOoAACQnJ4f0+FIIt2s6l+uZOHEi/ve//8HpdCIjIyOIVZ29cPv6AOF3TbweouDKjFUiJUqBgjoPiup9aPWLEAAoThJC+QMifIG25+O0MoxKUCFJ3/b2QR0djUWLFuHRRx/FM888g/vvv1/yGwtERER9hd1ux7Jly3D++edj4sSJUpdDJJkeBU9WqxU+ny/oRQiCgOTkZFRXV5/z8P++ItyuKRjXo1QqEQgEsHXrVhgMhuAW2EPh9vUBwu+awv16FApFyMN8opNRywWMSlRjZIIKVS1+lDf5Uev0w+VrG9EEAAIAlRyI18gxIEqOzFgFtIquM/STkpJw11134fHHH8dLL72E3/72t5DL5b17QURERH2MKIpYunQpNBoNrr/+eqnLIZJUj6fahfIDoCiee9+JvibcrulcrkculyMjIwOlpaV95jUJt68PEH7XxOshCh1BEDAgSoEBUZ3fDoii2KMpeNnZ2fj1r3+Nf/3rX/jf//6H6667LtilEhER9Svr169HQUEB7r//fuj1eqnLIZIUm4tTrzKbzSgpKZG6DCIiOoWz6UU2ZswYXH/99Vi/fj3Wrl0bgqqIiIj6h4qKCixfvhzTp0/H0KFDpS6HSHIMnqhXmc1mWK1WNDY2Sl0KEREF2WWXXYaZM2fif//7HzZv3ix1OURERL3O6/XipZdeQmJiIq655hqpyyHqExg8Ua/Kzs4GAJSVlUlcCRERhcKCBQswYcIELFmyBIcOHZK6HCIiol61evVqVFZW4vbbb+eCG0THMXiiXhUfH4/o6GhOtyMiClOCIOCWW25Bbm4unn76aVRWVkpdEhERUa8oLCzEJ598gnnz5iE9PV3qcoj6DAZP1KsEQYDZbOaIJyKiMKZUKvHggw/CYDBgyZIlcDgcUpdEREQUUi6XCy+//DIGDRqEGTNmSF0OUZ/C4Il6XXZ2dp9a2Y6IiIJPr9fj3nvvhc/nw9NPP43W1lapSyIiIgqZt956C83Nzbj11lshk/FjNtGJ+BNBvS4rKwvNzc2ora2VuhQiIgqhuLg43HPPPaiqqsLzzz8Pv98vdUlERERBt337dnzzzTe47rrrEB8fL3U5RH0OgyfqdWazGQBQWloqcSVERBRqGRkZ+N3vfod9+/bhP//5D0e7EhFRWKmvr8cbb7yBsWPHYtKkSVKXQ9QnMXiiXhcVFYWkpCQGT0REEWLYsGH45S9/iY0bN2LNmjVSl0NERBQUoijitddeg1wux4033ghBEKQuiahPUkhdAEUms9nMle2IiCLI5MmTUVdXh5UrVyIuLg4XXnih1CURERGdky+++AL5+flYtGgRoqOjpS6HqM9i8ESSMJvN2LFjB3w+HxQKfhsSEUWCOXPmoK6uDq+++ioMBgPy8vKkLomIIlQ4jkxpv6ZwvDapnOo1raqqwjvvvIPLLrsMI0eO7O3S+jV+rwZfX39N+YmfJGE2m+H1elFeXo6srCypyyEiol4gCAIWLlyI+vp6PPvss3jwwQeRlpYmdVl0lrwBoNEjwOUX4BMBEW1vdmUAVDIR8kY3AiLQN98CUyRLSEiQuoSQSk5OlrqEsPPj19Tn8+Hvf/870tLScPfdd0OtVktUWf/G79Xg66uvKYMnkkR6ejrkcjlKS0sZPBERRRCFQoHf/va3eOyxx7BkyRI8/PDDMJlMUpdFPeD2AVa3DO6AABFtQdOJN1gDAFr9AspsTvh8MujlAcRpRMiZQFEfYbVa4fP5pC4j6ARBQHJyMqqrq7mQQ5Cc7DVdtWoVDhw4gIceegh2u13CCvsnfq8Gn1SvqUKhOKMwn8ETSUKlUiEtLQ2lpaW47LLLpC6HiIh6kVarxd13341HHnkE//jHP/CHP/wBOp1O6rLoNEQRsLsFOLwyCABkpwiSBAFQyGXw+4AmnwwtzUCiJgC9kh8wqG8I5w+7oiiG9fVJ4cTXtLi4GB9++CGuvvpqZGVl8bU+B/xeDb6++ppyVTuSDBuMExFFLqPRiEWLFqGurg7PPvtsWI4+6K8WLVqEhQsXwmazdTwmikClSwaHRwaZ0HmE0+nIBEAEUOWSweHhsCci6r9aW1uxdOlSZGVl4aqrrpK6HKJ+g8ETScZsNqOqqgpOp1PqUoiISAKpqam48847cejQIbz66qt98g4dtYVO1S4ZWn0CZD1452i3WbH49uvx2B/uhiC0BVB1bhmavAyfiKh/euedd1BfX4/bbrsNcrlc6nKI+g0GTyQZs9kMACgrK5O4EiIikkpubi5uueUWbNmyBStXrpS6HOpGk1eAs4ehU3cEoa3RuLVVBl8gKKUREfWaPXv2YOPGjfj5z3+OpKQkqcsh6lcYPJFkBgwYAK1Wy+l2REQRbuLEifjJT36CNWvWYOPGjVKXQyfwi4DNLevR1LpTEY5Pu6tx8S0oEfUfjY2NePXVVzFq1ChcfPHFUpdD1O+wuThJRhAEZGVlobS0VOpSiIhIYjNmzIDNZsObb74Jk8mEkSNHSl1SWDt27BhWr16NgoICeDweJCQkYPLkyZg+fXqn7Ro8bSvXWauP4fvtW1FcuB/2Oitampuh1mgwYGAGJky+BCPHTui037tvLMXubZsBAPV2Gxbffn2n5x9/4T/wBAC/24XvvvsO+fn5qKioQH19PQAgMTERo0ePxpVXXsnG80QkKVEU8dprrwEAfvWrX0EIVhJPFEEYPJGkzGYzvv76a4iiyF/iRAQAvfq7oP1c/eH3T7jXKggCrr/+etTX1+P555/H73//e2RlZYWqxE7nPfH/fVmwaj106BCeeuoptLa2IjExEcOGDUNzczNWrFjxo1HIAhq9MsgAfP3Zp9i+5SskJKUgJTUNWq0O9fY6lBw8gJKD+3G0rBizF/yiY89My2D4fT7s2fEt1Co1ho8Z3/laADg8MjRUVOD1119HTEwMkpOTkZmZiZaWFhw+fBhr1qzBtm3b8Mc//hFRUVHndM2nEonfA0R05j7//HPs2rULd955J2JjY6Uuh6hfYvBEksrOzsZHH32E+vp6mEwmqcshIoklJCRIct7k5GRJzns2wr3Wv/zlL3jwwQfxwgsv4Kmnnuq1Phrh/rq283g8eOONNwAAP/nJT/CrX/0KsuPNmw4fPowHH3wQzc3N0Gg0MMTFo9WjhlwmYOKUS3HFnAWIT+z89aitrsQLTz2KLRvXY/wFFyHDbAEATLlsOoaNHIP8Xd8hOtaAG277XZdaRAHIy8vDU089hREjRnQKU9xuN55//nl88cUX+Pzzz/HrX//6rK/5TEXK9wARnbmamhosXboUU6ZMwZgxY6Quh6jfYvBEkmq/m11SUsLgiYhgtVrh8/l67XyCICA5ORnV1dV9fkW1SKr1lltuwSOPPIL77rsPDz30UMhHu0TK6woAW7ZsQUVFBUwmE6ZPn46ampqO59RqNaZOnYq3334bAHCsug5efQIUMiAts21BELe7tdPxYo0mXDz9Kqx6+3Xs3Po1klMHtlcLAAgEAgj4/V32A4CACLgVASQmJqK6urrL83PnzsW6devw+eef4+qrrz6r6z0T4fo9oFAoJAvzicKB3+/H0qVLYTAY8Itf/OL0OxDRSTF4IkkZjUaYTCaUlpZi3LhxUpdDRH2AFB/8RFHs8x8420VCrdHR0bjnnnvw6KOP4umnn8bixYuhUqlCUOEPIuF1BYCCggIAwIQJEyCXy7scZ9KkSR3BU6tfhOJ4M3CgLXQq3Ps9KiuOwNncBL/PDwBobKiHCKC2prpjWwE/HFcEcLJqPX4RajlQVFSEgwcPoq6uDh6Pp+N5uVyOxsZGNDc3Q6/Xn9U1n6lI+R4gojPz8ccfo7i4GP/85z+h1Wr5M0d0Dhg8keTMZjMbjBMRUSfJycm466678MQTT+Dll1/Gb37zG/a1CYL25t3x8fHdPq/X66HT6eB0Ojs9fiB/F95b9jKcLc3d7ufz+XD0yGHYbLaTHvvHRLFtpailzz+LQ4cOnXJbl8sV8uCJiKhdWVkZ3n//fcyaNQtDhgxBVVWV1CUR9WsMnkhyZrMZH3zwAQKBQEefCSIiIovFgttvvx3PPvss3nnnHfzsZz+TuqSI1FBvx39ffg5erwcXXz4To8dfAGNcPNQaLQRBwO7tW/HSPx5DtMGP5qamMw6eIADLXn8Vhw4dgsViwdy5c5Geng6dTgeFou0t6p133gmHwxG6iyMi+hGPx4OXXnoJAwcODOk0X6JIwk/5JDmz2Qy3243KykqpSyEioj7mvPPOwy9+8QusXbsW69evl7qcfs9gMAAAbDZbt887nc6O0U4aeduopAP5u+H1ejBs1FhcOe+nSBmYDo1WB0EQ0NjQgAP78qFQKKDT6eDtQY82j7sV+/bmQxAELFq0CMOGDUNMTExH6NTa2oqGhoZzu2Aioh567733UFdXh9tuu63j9xERnRsGTyS5rKwsCILA6XZERNStadOmYcaMGXj77bexfft2qcvp13JzcwEA27Zt67aR/zfffNPxZ5VchExAx/Q6Y1znkUwOhwOlpWU4WnwQOp0OcrkcXq+343n58Q9sgYC/y3lEEfC1uiAGAtBqtdDpdF22+fbbb9lThYh61b59+/DZZ59hwYIFSE1NlbocorDB4Ikkp9FokJqayuCJiIhO6ic/+QnGjx+PpUuXoqioSOpy+q1x48bBaDSirq4OK1as6BTsVFRUYM2aNR1/VwiAXAASk9s+fO3dtQ2NjrYeUY56B8pKS7F/11bU22oBAZDJZPB5vR2dxPVR0ZDLFWhqaICzuXNvqACAJFM09Ho9nE4nNm/e3On54uJiLF++PASvABFR95qbm/Hyyy9j2LBhmDZtmtTlEIUVjh0kyfkCIpItw5Bvc+Kd/Ho4Wv0dq9/IBSA1RgmzSYXkKCUMGjmbyxIRRSBBEHDzzTdjyZIleOaZZ/B///d/SElJkbqsfkelUuH222/HkiVL8Omnn2LXrl3IyspCU1MTDh48iFGjRuHw4bYm4YIAxKoCGDx8NAamZ6HiaBmefPg+DEjLRIvTCUedFQG/F5dccRU2rvsIMpkMgYAIn98HpUIBhUKBoSPHIH/XNjzz1weRmT0ISpUaAHDN9TfDpBEwZ84cvP3221i6dCk2bNiAhIQE1NXVobi4GOeffz4OHTp00mmBRETBIooili1bBq/Xi5tuuomfN4iCjCOeSDJ1Th8+KHDg6S21OGochdroHJTVt6LFG4Dz+H+Nbj++r3Zhxb4GvLi9Ds9utWFbRQs8/oDU5RMRUS9TqVT43e9+h5iYGPzjH/9AY2Oj1CX1S7m5ufjjH/+IsWPHoqWlBTt37kR9fT3mzp2L3/zmN522jVGKUCnkuPWeP+DSK2ZDo9Vhf/5u2GoqMWjIUPx28R8xaOgIAIBcLgcAeD0/TLeb9/NfYsLkSwAI2Lt7B7Zv+QrbNn8FrVyEQgZMnz4dd955J3JyclBVVYXdu3fD5/Ph+uuvx6233tprrwkRRbYtW7Zg27ZtuPHGG2EymaQuhyjscMQT9TpHqx+rDzhQ1eQDIEKtkCFGr0OVtxWeVhdUUVEd2wqCALXihzsOHn8A64ub8GVZM8YM0OGSrCjIZbwjQUQUKfR6PRYtWoS//OUv+Mc//oEHHngAGo1G6rL6nYEDB+KOO+7o9rklS5Z0+nuSxo8qaDBu0qVIzshBfHw8Bg4cCJzwz++TL/4HXo8X+/fvP97nSQsA0EdFYf4vftWxnSi27Zao/aHv05gxYzBmzJgzqoWIKNjq6urwn//8BxdccAHGjx8vdTlEYYkjnqjXiKKIreUteGGbDTXNPqgVAtSKtm9BrVYDmUzoWEnnZARBgFYpg1wm4Lv2YzV5T7kPERGFl/j4eNxzzz2orKzECy+8AL+/a/NqCh6dEqgqLUB1bS0SEhK6hE7tFEoFIKBTg/ETiWJb+6ckrR9y3jMioj5AFEUsXboUOp0O119/vdTlEIUtBk/UKzx+Ecv22PF5aROUMkD5o3ecgiBAp9OdNng6kUYpg9MbwCu76rDj2JnvR0RE/V9mZib+3//7f8jPz8dbb73F1c9C6NNPP8XL//gr1AE3Ugak4mSvtCAIUCqU8Ho9XZ7rCJ00Aeg43p6I+oi1a9fi4MGDuOWWW7pdXZOIgoPBE4Wcxy9i2e46VDZ6oVXITtqsT6fToaWlZwGSXCZALRewtqgRm482n34HIiIKGyNGjMAvf/lLfPHFF/j444+lLicsrVmzBu+88w5mzZqFy8YPQ4Kmrcdi4CTpk1Kp7DTiSRSBQKBthbw0nR9RSgaERNQ3lJeXY8WKFbjiiiswZMgQqcshCmu850QhFRBF/Pd7O6wtvo5pdSej0+lQW2uF1+uDUnnm35qCIECjAL4sbYZWIcOYAbxbQUQUKaZMmQKbzYbly5cjLi4O559/vtQlhQVRFPHBBx9g9erVmDdvHubMmQMAiFGJ0Cn8qHPL0OITEBABQWibeScI7cGTH36xbdVaQQBM6gAMyrY/ExH1BV6vFy+99BJSUlIwf/58qcshCnsc8UQhtelwM441ek8bOgFtDWMBwOls6fF52puQrytuQr3L1+P9iYio/5o7dy4mTZqEV155BQcOHJC6nH5PFEWsXLkSq1evxoIFCzpCp3YKGZCkDSAzyo9kbQDRigAUMhEyiJAJQIO9FgaViKEpUciMCsCoYuhERH3LypUrUVVVhdtuuw1KpVLqcojCHoMnChlbiw/fHnVCozizd5tKpRJKpaJHfZ5OJAgCBADL9zlgtVqxcOFCLFq06KyORURE/YcgCPjlL3+JwYMH49lnn0VFRYXUJfVboiji3XffxZo1a/Czn/0MV1111Um3lQlAlFJEolZEuj6AjKgAmg5/j8+Xv4Z4jYhojYKBExH1OQUFBVi7di2uueYapKWlSV0OUURg8EQhIYoilu+vh0yGk/Z0+rGzaTD+Y0q5gNoWH3ZVuc76GERE1P8oFArccccdiI+Px5IlS1BfXy91Sf2OKIr473//i08//RTXXXcdrrjiih4fw2g0oqWlBR5P1wbjRERSczqdePnllzF48OCz+h1HRGeHwROFRHmDB3aXHwpZz251tgdP57I6kUYhYHsFV7kjIoo0Wq0Wd999NwDgH//4B1wu3oQ4U6IoYtmyZfjss89w4403Ytq0aWd1HKPRCAAM/oioT/rPf/4Dp9OJW2655YxvjhPRuWPwRCHxZVlLj0MnoC148vn8cLvP/k6pIAhwegNwegNnfQwiIuqfTCYTFi1aBJvNhmeffRY+H/v+nU4gEMBrr72GL7/8EjfddBMuueSSsz4Wgyci6qu2bduGLVu24Prrr0d8fLzU5RBFFK5qR0FVUlKCzVu34d0vd8Pd5ICn1QmlWgvjgHRkj70YiZmDO21/dO932PXx20gfPh4jpl2DIzu+QOHWL1HyiQ/6GAMSs3Ix9KKroI02dHu+6uL9KNq2AY7qcgiCDDEJA5Az4VJExQ9AndOH9F64ZiIi6lsGDhyIO+64A0uWLMHrr7+Om2++mXe2T8Lv9+OVV17Bt99+i1tuuQUXXnjhOR2PwRMR9UV2ux1vvPEGxo8fjwsuuEDqcogiDoMnCqoVK1Zg25598KrjYUhOg1ypQovDhpriA6gpPoDhU+cie+zFXfbzul3Y9NbTcDXWQ29MgEajga/JjvJ922ErL8alv7wfSo220z7F2zdi34b3AQDGAenQGeLRUm/FdytfQfb4i+Hxi+c0ZY+IiPqvoUOH4uabb8aLL76IuLg4zJs3T+qS+hyfz4eXX34Z27Ztw29+8xuMHz/+nI+p1Wqh1WoZPBFRSAREEc1eEY7WABo8AfhFQC4AUUoZjBoZolUC5D+60SCKIl599VUolUosXLiQNyKIJMDgiYJqxowZyLjkpyhrVUMl/2Emp/1YGba89yL2bfwQAwaP6jKCqerQXiSaczH5F3fiWHUtPG43MtMHYvP//o2GmmMo2/0NBp3/Q7+JhtpK7N/4ASAA4+b8Eqm5ozqeK9+/Azs/+g9EAG4/gyciokh1/vnno66uDsuXL0d8fDymTJkidUl9hs/nwwsvvIA9e/bgt7/9LcaOHRu0YxuNRtjt9qAdj4gimyiKaPCIKLD7YG/1IyACfrFtZU0BgAggIPohF9pabsSoBOQaFUjQyiAIAj7//HPs27cP9913H6KioqS+HKKIxB5PFFQjRoyAA3oof9TfyZSaBfOYSRD9flQV7e2yn1ylwugrfw6lWgu9TgeXywWFSoOciVMBALWHD3bavnTnVxADIlJzR3cKnQAgLW8ski3DEBDBPk9ERBFu5syZuPTSS/H6668jPz9f6nL6BK/Xi2effRZ79uzBHXfcEdTQCWgLnjjiiYiCodHtxxflbmw65kadyw+ZIEAhE6CWC1DK2v6sPP53hUyAXACaPAFsrfZg/VE39h+uwnvvvYdp06Zh2LBhUl8OUcTiiCcKuoamJlQW70ejtQreVifEQFv401xvbfu/vbbLPobkNGijYgG0NRgPBES4XK2IjksGALQ2OTptbztaDABIyxvXbQ3pw8ej8tBeBk9ERBFOEARcd911sNvt+Pe//40HH3wQGRkZUpclGY/Hg2effRaFhYW46667MHz48KCfw2g0oqqqKujHJaLIERBFFNp9KG7wQSagy03tU5EJAmQC4PUH8FlZPcwXzcHc+VNDWC0RnQ6DJwqqL7/8Ep8+/zr8npOvSudzt3Z5TBdj7PizVquFTCbA5XJCp9YAAPz+zqsSuY4HUTqDqdtz6GLjAAHwM3ciIop4crkcv/71r/H4449jyZIlePjhhyNyRSO3241nnnkGxcXFuOuuu5CXlxeS8xiNRhw4cCAkxyai8OcXRWyt8sDWGoDy+PS5s1FTUwNXcyPMoy/EVhsweYAIlZz9nYikwOCJgqasrAxvvPEGAj4fhl48CymWYdDGGCFXqiAIAsr2bMb3a9/rdl9B+GHWp0wmg1anQ3NLC3SG6N4qn4iIwphGo8Hdd9+NRx99FEuWLMH//d//Qa/XS11Wr2ltbcXTTz+NsrIyLFq0CLm5uSE7l9FoRENDAxf4IKIeCxwPnepaA1D1YJTTj7W0tKC2pgbJKcmI0WvR4hXxdaUbU1LVPRo9RUTBwR5PFDTbt2+HKIrIHjsZgyZORXR8MhQqdcddiha79YyPpdfp4GxpOenz7c3JnY7um5c6G+yACMj5HU5ERMfFxsbinnvuQWNjI/71r3/B6/VKXVKvcLlceOqpp3DkyBHcd999IQ2dgLbgye/3w+FwhPQ8RNT/LVy4EAsXLuz4+4E6X9tIp3MIh/x+P44cOQK9Xo+kxCQAbVP1WjwidtScfFYGEYUOP5ZT0LQcD4oMpvgudzn9Pi8qD31/xsfS6fRwuz0n/VAQl5YNACg/sKPb58v3bUcAgE7Jb3EiIvpBSkoK7rrrLpSWluLll18O+1E5TqcTTz75JI4dO4b77rsPOTk5IT+n0dg2fb6uri7k5yKi8NHg9qO00XdOI50A4NixY/D5fEhPT+80TU8pF2B1BlDZ7DvF3kQUCvxUTkEzYMAAAICtcDtcLlfH436fF9+vX37S0Und0et1ANreMHfHfN4UCDIBlYW7uwRaFQd2oqooHzIB0DN4IiKiH8nJycGtt96Kbdu24d1335W6nJBpbm7G448/jtraWtx///3Izs7ulfMyeCKiM/XYY4/hsccegyiK2F7jxbm2YGpoaECd3Y7U1FSo1eouzytkwB6rF75AeN90IOpr2OOJgmby5MlYv349Dlcew+cv/QVJGRYIggBbeSkCPi/MYy9C6Y6vzuhYKpUKKpWyU4B1IkPSQAy9aBb2b/wQ21a9BuOADOgN8Wiur4WjqhzZ4y5C8fYv2UCQiIi6NW7cOPz85z/Hf//7XwwaNAhjxoyRuqSgamxsxJNPPomGhgY88MADSEtL67Vzx8bGQi6Xo66uDunp6b12XiLqf9pvXNe5/Gjxnlvzb6/Xi/LycsTGxMAU1/0CRIIgwOMXUd7sR1YMPwoT9Rb+tFHQ6HQ6/OlPf8I7y1di+cYdqCktgEqjQ5I5F4MvvAL2itIeHU+v16Op3nbS53MmXIYoUyKKvvsCDbUVaLRVITYxFePn/hJRiWk4uuurs14Fg4iIwt/ll18Om82Gl156CbfddhtGjx4tdUlB4XA48MQTT6C5uRkPPPAAUlNTe/X8giAgNjaWI56IwkR1dTU++ugjFBQUwOFwQC6XIyoqCgMHDsTYsWMxZcqUTttXVVVh/fr1OHDgAOx2O2QyGUwmE3Jzc3HZZZdh4MCBHdu293e69bGlXUY7Bfx+FOzYgsJdW1FXXQGvxw19jAEZg4dh7KVXIvqE1a1FiNi5ZRM2/O9lDBoxGhm3LsLurz9D4c5v0Wi3QaFSITVrEM6/4moYE1NQ7PAhM1re6bNCS0sLPv/8c+zatQs1NTXw+/2IjY3FyJEjMWrUKAwfPrxTfX6/H9988w22bNmC8vJyuN1uGAwGDB8+HLNnz4bJ1H34RRSJGDxRUEVHR+OWX90I3XmzUd7ghfKEf0GijAlIHz6h0/bpwyd0eaydTqdHQ0MDZi9+BrKTzPVOyRmOlJzhXR53eQN45fU3YDZ2HWJLRETU7uc//zn8fj+ef/553H///bBYLFKXdE7sdjueeOIJtLa24g9/+ANSUlIkqcNoNDJ4IgoDFRUVePTRR+FyuZCcnIxRo0ZBJpPBbrejsLAQ9fX1nYKnb7/9Fq+++iq8Xi/i4uIwYsQIiKIIq9WKjRs3IiYmplPwBAAigHq3CPkJ7/c97lZ89Pq/UVF6EEqVGompGdBGRaOuqgJ7t36FovwdmHvLPUhIbRtVWVdXh+bmZmi1GkAUsea1f6HqSAkGmAfBlJiC6vIylOzfjYqSQvzs7oehi41Di09ElLLtnEePHsU//vEP1NfXQ6fTYdCgQdBoNKirq8O2bdtQUVHRKXhyuVx45plnUFhYCLVajaysLERHR6O8vBwbN27E9u3bsXjxYmRkZITwq0PUfzB4opC4KDMKy3bbOwVPPaXX6xAIiHC5nD1a8loURUSpZMgyqM763EREFBkEQcDdd9+No0eP4plnnsFDDz2EpKQkqcs6K3V1dXjiiSfg8/nwhz/8QdLrMJlMDJ6IwsDatWvhcrkwf/58zJ49u9NzHo8HpaU/zGgoKyvDK6+8Ar/fj1/84heYNm1apxFFNpsNTU1NXc7hCwABUYT8hG03rvwPKkoPIit3BC679kbooqI7ntv99Wf4es17+PS/L+G6ex+B1+vFsWPHYDAYoFAqUXWkBAkD0nDD/X+DPia27RxeDz5e9jyOHNqPHV98iguvvg6O1gCilDK0trbi6aefRn19PS688ELccMMN0Gg0ANr+jYiJicGWLVs61bxs2TIUFhZi1KhRuOmmmxATE9Px3Lp16/D222/jueeew+OPPw6ZjD1nifhTQCGRGqNEnE5xTo37tFodZDIBLS3dNxg/mVafiAsz9JxmR0REZ0SlUuGuu+6CXq/HkiVL0NjYKHVJPWa1WvG3v/0Nfr9f8tAJYPBEFC7afx+OHDmyy3MqlQq5ubkdf//www/h8/kwdepUXH755V3ei8fHxyMrK6vLcbwBESd+ZLDXVOLQnu3QR8di+i9u6RQ6AcDoydOQmTscDlstDhfuxZEjR6BUKpGYmAAAECBg6rW/7AidAEChVGHCtLbgrLzoAOQCUOsKAAA2bdoEu92OjIwM3HzzzR2hUzu9Xo9hw4Z1/P3YsWPYunUrDAYDbr/99k6hEwBMnz4dI0eORE1NDfLz87tcL1EkYvBEISEIAhYMMyAQEM96qWqZTIBOp4PT2XLG+3j9IpKjFBg7QHdW5yQiosgUFRWFe++9t2P6hNvtlrqkM1ZTU4O//e1vkMvlePDBBxEfHy91SZxqRxQmzGYzgLYRPnv37oXH4+l2u0AggP379wMALr744h6dwxsQO/V3Oly4FyJEZOQOg0qt6XafVPNgAMDB/F1wOp3ISM+ATCYHAEQbTUgY0HVBBWNS29Tj5gYH5ALQ6Gn7jLJ3714AbQslncnopPz8fIiiiBEjRkCr1Xa7TXsgV1RUdNrjEUUCTrWjkInTKTApMwpfHW6GVnF2o4/0ej3s9fVntG17wLVgmJGjnYiIqMcSEhJw991347HHHsMLL7yA3/3ud31+ikRVVRUef/xxaDQaPPDAAzAajVKXBKAteHI6nXC5XF1GDxBR/zFjxgwcOnQI+/fvx1NPPQWFQoG0tDQMHjwYEyZM6AimmpubOwL75OTkHp1DFIET37k32NsWFzqwfTMObN98sr3gbvWgtqoSIyZfDr1ej/ZPDFGG7pt6qzVtIZHf74MgCB2jrGy2tvOdaU+82tpaAG0jpTZt2nTKbbubWkgUiRg8UUhdmK5HWb0HFQ0eqBU9f/Ou0+lRU1MLj8cDlerkPZtEUUSrT8Ts3BjEauTnUjIREUUws9mM3/72t3jmmWfw3//+F9ddd12fvZlx7NgxPP7444iOjsb999+P2NjY0+/US9oDsPr6eskanBPRuVOr1Vi8eDFKS0uxd+9eFBcXo6ioCGVlZVi7di0uvfTSjpXpzpYgtDUY73D8ZnLCgDTEp3QduRQI+FFf74DT2QK9KQGmuM5Bk4DT/84WRfGMtjvZvgCQkZGBtLSu9Z0oOzv7rM5BFG4YPFFIyQQBPx9hxJu77ahq8kKj7Fn4pNe3TZlraWk5afDUHjpdbonGiGROsSMionMzatQoLFy4EG+88Qbi4+MxY8aMHu0viiIcLR4crmlGha0FLq8fgYAIjVKOuGg1spKjkWLSdVrBqaeOHj2KJ598EkajEffdd1+XHiNSY/BEFF7MZnPH6Ca/349du3Zh6dKl+OKLLzBu3Djk5uZCpVLB4/Ggurq6y8p1pyI/YfQRAETFtv3+SMmw4OK5P++0bUtLCw4fPowBgQAMBgNsdXVQq3q+inUAgPb4inZxcXGorKxEVVVVp15OJ2MytQVdFosFN9xwQ4/PTRSJGDxRyClkAm4YbcK7e+tR5vBAIxfO+O6xUqmEWq1CS4uz2+kDvoAIf0DEVYNjMCqFoRMREQXHJZdcgrq6OrzzzjswGo2YOHHiKbd3e/3YtK8aX+RXoa7JjVaPH26fHwIEtOVLAkRRhF8UoVLIoFTIYNCpMDzTiFnj05EQe+bT0Q4fPownn3wS8fHxuO+++xAVFXVuFxsCJwZPRBRe5HI5xo0bhy1btmDXrl0oLy/H0KFDkZeXh927d+PLL7/Eddddd8bHU/3ovnRm7nB8u+59lB7Yg0lXXQOFUgURIqy1VlRWVUKn1SEzMxN1djuUCsVZTYn2BYBEbdt+w4cPx969e/H111/jsssuO+3xRo4ciZUrV2L37t346U9/espZGUTUpm83LqCwoZC1jXyakRMDfwDw+M+84bher0dLS3Onx0RRRKs3gBi1DLeNi2foREREQTd//nxccMEFePnll1FYWNjtNpV2J577uAC3P7cFr35WhFpHK0QRUCvliNGqEK1VQq9RQq9RIEqrRKxOBa1KAYVMhiaXF5/vqcI9r27Dg2/uxK5iGwKnWQ324MGDePzxx5GUlIT777+/T4ZOQNtqV1FRUQyeiPq5DRs2oKqqqsvjDocDhw8fBvDDCKDZs2dDLpfj888/x4YNG7osMGSz2VBWVtblWEqZ0Km5eEJqOizDxqC5oR4fv/kC7NYalJWW4VhlJRITEmHJyYEgiji0+zsEfN03Oz8dmQCYNG0fhS+66CKYTCYcOXIEr732GlpbWztt63Q6sW/fvo6/Z2RkYOzYsbDb7Xj22Wc7ekSdqLW1FVu2bEFDQ8NZ1UcUbjjiiXqNIAg4b4AOg+LUeL+gARWNHgQCgFpx6hFQer0e9fX1CAQCgCCg1SdCoxAwKUOPyZlRkPXR3htERNS/CYKAm266CQ6HA//85z/xf//3f0hNTQXQNsLp1c8OYcuBtiazWrUC0dqe3c8TBAF6TdtbsUq7E39fvQ8pRi3unTccA0xdb6gUFRXh3//+N1JTU7Fo0aKTrqbUV8THxzN4IurnvvzyS7z55ptISEhAamoqtFotmpqacOjQIXg8HgwZMgRjxowB0DYd71e/+hVef/11vPnmm/jkk0+QlZUFURRhtVpx9OhRzJkzB1lZWZ3OIQiAVilDqy/Q8b5+6k9+CXerE6X79+DArm2IiUvEgPRMVGs0+Npug62qHI0NjZh58909vyhRhFIGxKjazqXRaHDXXXdhyZIl+Prrr7Fz504MGjQIarUadrsdNTU1GDBgAPLy8joOcfPNN8PpdCI/Px/3338/0tLSkJCQAACwWq0oLy+Hz+fDY4891qf67xFJhcET9bpotRzXjzKhodWPLUebsb+2FW6fCF8gAJVcBoUMHUFUQBShUOshytVobHYi2RSNadlRGJakgeIcemMQERGdCYVCgTvuuAN/+9vfsGTJEjz00EOobhbwzw8PoNHp7QiOzvk8chmi5DLYmzxY/Pp2zJmQjnkXZHb0gSosLMTTTz+NYcOG4dZbb4Va3fOeJr0tLi6OwRNRPzd//nx8//33KCkpQWlpKZxOJ2JiYmA2mzF58mRMnDgRcvkPC/tMmjQJWVlZWLt2LQoKCrBnzx4olUoYDAZcdtllGD9+fLfnGWyQY0dtAOrjh1Kq1bhgznVQmT5HbdkheFsaUFlSAKVaA320AYNHTwC0MTAm9mwFPaCtv1N6tKLTzeuMjAz89a9/xfr167F7924UFBRAFEUYDAZMmDABI0eO7HQMrVaLxYsX47vvvsOWLVtQVlaG8vJyaDQaGAwGnH/++Rg9ejQSExN7XB9ROGLwRJKJ1cgxY1AspufEwO70o7LJi2K7G3VOX0eDQZVcwMgkAyo//wKjB56PeROukLZoIiKKODqdDvfccw/+/Oe/4NePLoOQNBJatTJoodOJlAoZFKKA1VuPYEdxHR766UgcKTmEZ555BoMGDcKf/vQn2O32LlNY+iKTyYT9+/dLXQYRnYNRo0Zh1KhRPdonNTUVN9100xltu2zZMgBo639X523rhef34+jRo2hobMToCy5B8vyfd5nhEBBF5H//PXTaH0aHDswejN89+fIpz3fHE0vhF4Hs2K6/v6OjozF//nzMnz+/4zFBEJCSkoKqqqouv3cFQcDEiRNP2wOQiBg8UR8gEwTE6xWI1yswIrn7aQO74rU4WlwIgMETERH1PqPRiNTzf4bNG75HjL8cZnMWcJZLcZ+OIAjQq5WorGvBb/65AbLiDzA8Nxe/+93v+sVIp3Yc8UREZ0ouCBgRp8Q3RxpRcaQMgUAAZnMWYmO6n6bm9XggAj1u7O0TAYtBAY2CMyeIehObi1O/kJOTg5KSkn5xh5eIiMKLKIp47bMi7ClvhSUrHc3NzSgvr4CI0P6b5Ha1YH/RYVTHnI+bbv1Nv1s5KS4uDg6HA36/X+pSiKiPE0UR+V+vR8GOzVBqtBicO/ikoRMAuD1tTcV78nvRL4rQKQTkGjn2gqi3MXiifsFisaCxsRG1tbVSl0JERBFm/e5j2PB9JfQaBaKjo5GWloY6ex1qqmtCdk6Hw4Gyw2UwxkQhLjkdf199oN/dfImLi4MoilzViYhOqbm5Gc888wzeffddDI3yYrA5E3K58pT7eDxuCACUZxg8BUQRAoCJKSouTEQkAQZP1C9kZ2cDAIqLiyWuhIiIIomtsRX//aoUOvUPd8hNJlNbz4/qKtTZ64J+zvr6ehw+fBiGWAMyMzOh0yhRVtOMj3dUBP1coRQfHw8AsNvtEldCRH1VUVERHnroIRQXF+Oee+7BT66Zh4vStFDKBfgCJw/bPW4PlErlGYVI/uOh/YUpKkQp+fGXSAr8yaN+ISoqCikpKQyeiIio14iiiCWr9wHiD6uttktKSkJ8XDzKy8vR1NQYtHPa7XYcOXIERqMRGRkZHefVqeV49+tSVNtbgnauUIuLiwMA9nkioi5EUcTHH3+Mv/3tb4iLi8MjjzzSsXKcViHg4oFqxKhl8ATEbkd7ejweqE7T804URXj8ItRyARcNVMOgkZ9yeyIKHQZP1G/k5OQweCIiol6zfvcxHKlthlrZ9cOKAAEDBw5ETHQMysoOw+VynfP56urqcPToUZhMJqSnp3cKuwRBgCACf/7Pt/1myl10dDSUSiWDJyLqpKmpCU8//TTee+89zJgxAw888ABMJlOnbdRyAVMGqDA8TokA0CWA8ng8J+3vJIoivH4R/uONxC9LU3OkE5HE2FmN+g2LxYKvv/4aLpcLWm33q98REREFgyiKWLXlCHRqBXYsfxwAMHbBA522EQQBGZkZKC4qRklJCQYNGnTWDcBtNhvKK8oRHxePgWkDIXSzYp5KKcfh6kaU1TQjKynqrM7TmwRBgMFgYPBERB2Kiorw/PPPw+PxYNGiRRgxYsRJtxUEAeZYBQZGyVHa4MPhRj+8gbZAyePzIeaE37cBUYQvAAgCoJABmbFy5BiU0HL1OqI+gdEv9RsWiwWiKKK0tFTqUoiIKMzlH65Hk8vbZYrdj8llcpjNZggyAaWlpWe1gpvVakV5RTkSEhJOGjp1nE8u4N2v+8+/g0ajkcETEUEURXz00Uf429/+hvj4eDzyyCOnDJ1OpJILyDUpMT1DjcmpauTGiGisPAKtUg6VDFDJAYNahiEmBSYNUGN6hgYj4lUMnYj6EI54on5jwIAB0Ol0KC4uRl5entTlEBFRGFv+TVnHFLu86becclulUolsczaKiopQWlaKbHM2ZLIzu7dXW1uLY5XHkJiYiAEDBpwydAIAtVKOwooGNLm8iNaeetWnvoDBExE1NTVh6dKlyM/Px1VXXYV58+ZBLu95vyVBEGBQC2h223H06/dx/ZQ8DErXhKBiIgo2jniifkMQBFgsFvZ5IiKikHK0eHDU1gKFvO1tkjYmDtqYuFPuo9FokGXOgrPFifLycog4fR+mmpoaHKs8huSk5DMKndq5PX58kV95RttKjcETUWQ7dOgQHnroIZSVlWHRokVYsGDBWYVOJ7JarQB+WDmTiPo+jniifsVisWDdunUQRfG00x+IiChyVFdX46OPPkJBQQEcDgfkcjmioqIwcOBAjB07FlOmTOm0fVVVFdavX4+CggK0tLTA6/XCaDQiNzcXidmj4fb6oVa0fTg6WY8nABADAdiO7EXdkf1wNdTC7XKi3iuiITUHuROvgEoX02n7xtqjOPjV25DpTBBSzoPWU4u6/J2o/NYBmUKJ6Pg0pA6bAm1M9x+ofG4XHKXf4bmd7+JTowi/34/Y2FhkZWVh8uTJXaau+P1+fPPNN9iyZQvKy8vhdrthMBgwfPhwzJ49u0tD32AzmUyor6/nv9tEEaZ91bqVK1ciJycHt99+e9B+31itViiVShiNxqAcj4hCj8ET9SvZ2dloaWlBZWUlUlNTpS6HiIj6gIqKCjz66KNwuVxITk7GqFGjIJPJYLfbUVhYiPr6+k7B07fffotXX30VXq8XcXFxGDt2LBobG1FbW4uNGzci9qgTSu3Q057X7/WgeMsKNNUehUyhgs6YjJhEHew1R2At2wNn3WGMmLYQOkPSCXuJcLvd8AeaEF2zB65WB6Li06CJiUOLvQqOY4fQZD2KoVN/CbU+ttP5nI5alH67Cq3NDijUGgyacD40Gg3q6uqwZ88eNDY2dgqeXC4XnnnmGRQWFkKtViMrKwvR0dEoLy/Hxo0bsX37dixevBgZGRnn/DU4GaPRCI/HA5fLBZ1OF7LzEFHf0djYiJdffhn5+fmYNWsW5s6de86jnE5ks9kQFxfHMJuoH2HwRP1KdnY2BEFASUkJgyciIgIArF27Fi6XC/Pnz8fs2bM7PefxeDotSlFWVoZXXnkFfr8fv/jFL3D55ZdjwIABqKqqgiiKsNlseHjZlo7+TqdyZNdaNNUeRWyKBZljr4RS0xasZAPYv3UtqvdvQsGm5Rgz6zcQBBlEiKi11sLtdkMjCNAoTMiZcRuUmrYV6gJ+H4q3rEJjdSmqCr9F5nlXdJzL7/OgaPMK+N0tiMsYhuQRl+HW31yEKE1bnyen09ll8Y1ly5ahsLAQo0aNwk033YSYmB9GX61btw5vv/02nnvuOTz++ONn3JOqp9pHONjtdgZPRBHg4MGDeOGFF+Dz+XDvvfdi+PDhQT9HbW0tEhISgn5cIgod9niifkWr1WLgwIEoKiqSuhQiIuojGhsbAQAjR47s8pxKpUJubm7H3z/88EP4fD5MnToVl19+eZc75vHx8fCp4yA7zZ10V6MN9vICKLVRME+Y3RE6tRs6YTqiEzPRYKtEddl+iBBxrOIY7HY7NBoN1Go1MsfN7AidAEAmV2DA0EkAgKbaw52OZyvLh9fZCL0xCZnjrkQASlTYWjqe1+l0GDZsWMffjx07hq1bt8JgMOD222/vFDoBwPTp0zFy5EjU1NQgPz//lNd6LtqnwrDPE1F4E0URa9asweOPP46kpCT85S9/CUnoBLSNeGJ/J6L+hcET9TtsME5ERCcym80A2kb47N27Fx6Pp9vtAoEA9u/fDwC4+OKLT3o8rz9w2nM2VJUCoojYZDPkSlWX5wVBwMCcEZDL5Dhy6HscLjsMq82K5KRkqFUqqHQx0BkSu+zX3sTc42rufL7qttFMieZREAQZfIEAXG7/SevLz8+HKIoYMWIEtFptt9u0B3KhvJljMBgAMHgiCmeNjY1YsmQJVq5ciauuugqLFy8OWf+49pGpHPFE1L9wqh31OxaLBRs3bkRLSwv0er3U5RARkcRmzJiBQ4cOYf/+/XjqqaegUCiQlpaGwYMHY8KECR3BVHNzM9xuNwAgOTm522OJoohAQDztrTl3iwNA20gkW9nJRwxpdTr4fR7U1tbCYsmG0u9ELdCl6Xg7uVLdVoff1+lxj7NtVFd7MCWK4ikDstraWgDApk2bsGnTplNeS1NT0ymfPxcKhQIxMTEMnojCVGFhIV544QUEAgHce++9nUZehkJLSwtcLheDJ6J+hsET9Ts5OTkAgJKSki6r9xARUeRRq9VYvHgxSktLsXfvXhQXF6OoqAhlZWVYu3YtLr30UixcuPCMjiUIwmmn2bURAQA6QxK03YxcOpEiKh62VhWAE497bk1xBQiQyU5+DFFsqy8jIwNpaWmnPFZ2dvY51XI6RqORwRNRmGmfWrdq1SoMHjwYt99+e6+sMme1WgGAU+2I+hkGT9TvJCYmIjo6GsXFxQyeiIiog9ls7hjd5Pf7sWvXLixduhRffPEFxo0bh9zcXKhUKng8HlRXV2PgwIHdHudUgU47lTYaAKCPT0XG6MtPu73/8OG2c8af3UhdlS4GrY02uBrroDGmQiYDVPKTD8tqn+ZisVhwww03nNU5g4XBE1F4aWxsxEsvvYT9+/dj1qxZuPrqq4O6at2p2Gw2AG2fB4io/+hxjydBEELyXyiPLdV/4XZNfeV6ZDIZcnJyUFxcHBbXE45fI17P6a+HiEJLLpdj3LhxHdM+ysvLIZPJkJeXBwD48ssvT7qvXqPoGDF0MrEpbaOEHJXFCPxoWlx3UlJS4PV5zzqAiU3KAgDUlu6BKAagUsiRaOi+dxPwQ6P13bt3n7TnVW9h8EQUPgoLC/HQQw/h6NGjuPfeezF//vxeC52AthFPGo2G7TaI+pkejXgK9Vzak/Vb6M/C7Zr6yvWMGzcO7777LpKSks5pCei+cj3BFG7XxOshotPZsGEDhg4dipSUlE6POxwOHD58GMAPI4Bmz56N/Px8fP7550hJScFll13WaR+bzYYYNKDBr4NKcfKQWGdIgmHgYDgqDqJ4yypkjJkOtT620zZ+nweOY0WIScqEWqNHnCkOtUcP4tSRVvfizSNRXbQdLfU1OLxjLdJGXYYkg6bjeZfLhZKSko6gLSMjA2PHjsWOHTvw7LPPYuHChV2mprS2tmLXrl3Iy8tDbGzn2oOJwRNR/yfV1Lofs1qtSEhI4E08on6mR8GT1WqFz3f6u3o9JQgCkpOTUV1dfdo7jP1FuF1TX7ueuLg4OBwObN++Henp6T3ev69dTzCE2zWF+/UoFAo2xiQKki+//BJvvvkmEhISkJqaCq1Wi6amJhw6dAgejwdDhgzBmDFjALRNx/vVr36F119/HW+++SY++eQTjBw5Eo2NjaitrcXRo0dhHjkFrZ4sqBRdV6s7UdbYmSj2utFYXYp9a5dCa0jsCJ/cLQ1wOWohBvzIm34LlBo9kpOTUXOkEG63G9E9vEa5QoWcC+ejdMtK2A7no6WmGM8I30OtVsNut+PIkSMwm82dGvvefPPNcDqdyM/Px/3334+0tLSO3ztWqxXl5eXw+Xx47LHHQh48NTY2wuv1QqlUhuw8RBQajY2NePHFF3HgwAHMnj0bV1999Tnd+D0XNpuN/Z2I+qEe93gK5QdAURTD4gPmicLtmvrK9WRmZkIul6OoqOi0TVNPpa9cTzCF2zXxeojodObPn4/vv/8eJSUlKC0thdPpRExMDMxmMyZPnoyJEyd2mgoyadIkZGVlYe3atSgoKMC2bdvg9/thMBhw2WWXYfDIiTj0WeVpzytXqjBo8k9QX16AuqP70VJfDZejFjKlCipNFEzpeTAMsEAdZQAAKJVKmEwmHD7kRiDg7/F16gxJGHnlbSje8zWiPJUoKCiAKIowGAwYPXo0Jk+e3Gl7rVaLxYsX47vvvsOWLVtQVlaG8vJyaDQaGAwGnH/++Rg9enTIe6W0j4poaGjgB0aifqagoAAvvvhir61adzq1tbXs8UrUD7G5OPVLarUa6enpKCoqwqWXXip1OUREJKFRo0Zh1KhRPdonNTUVN910EwRBQEpKCqqqqjpCYVEUEfW1FT5/AIIgYOyCB056HEEQYEofClP60DM6b8bgUWjxqxBtMJx0m1OdT6nRIWnoJDz6izHISj79uClBEDBx4kRMnDjxjOoLhfbgqb6+nsETUT8RCASwZs0arF69WtKpdScSRRF1dXUcMU7UDzF4on7LYrEgPz9f6jKIiCjMCIKA6WNS8d7XZYjSBndqmFwuR1JSEiorK5GYmAC1WnP6nU4QCIhIiNGcUejUV7T312KfJ6L+oaGhAS+99BIOHDiAOXPmYM6cOZJNrTuRw+GA1+tlgE3UD0n/G4ToLFksFtTU1KCxsVHqUoiIKMxMGz0AamVo3ibFx8dDqVSiqqq6x/s2ubyYMzEjBFWFjlarhUqlYvBE1A8cOHAADz30EMrLy3Hfffdh7ty5fSJ0Atr6OwGhX/CKiIKvb/wWIToLOTk5AIDi4mKJKyEionATpVFiRJYJLk/wF1WRyWRITk5GvaMeTqfzjPcLiCKitEpcOCS0PZmCTRAErmxH1McFAgF88MEHePLJJzFgwAA88sgjyMvLk7qsTmprawEweCLqjxg8Ub9lMplgMBgYPBERUUjccvlgqBQyBEKwIIDJZIJGrUFVVdUZ7+Py+HDHnNFQK+Wn37iPMRqNsNvtUpdBRN1oaGjA3//+d6xevRpXX301Fi9eDMMp+tBJxWazITo6GhpNz6YoE5H0GDxRvyUIAnJychg8ERFRSETrlLj58kFwuYM/6qm9qXljUyOamppOu32r14ehaUZcOvrsV3KVEkc8EfVN7VPrKioqsHjxYlx99dV9Zmrdj1mtVvZ3Iuqn+uZvFaIzZLFYUFZWBp8v+B8KiIiILhiShLx0Y0im3MUaYqHX6VFZVQkRJx9VFQiIUMhkuHP2UAiCEPQ6egODJ6K+pbupdUOHntnqnFKxWq2cZkfUTzF4on7NYrHA4/Hg6NGjUpdCRERh6s45Q2GMUsPt9Qf1uALaRj05nU40OBq63SYgimj1+nHXnDzE6FRBPX9vMhqNcDgcEEMwbZGIesbhcODJJ5/E6tWrMXfu3D47te7HbDYbgyeiforBE/VrGRkZUCgUnG5HREQhE6VR4pHrxkCvUQQ9fIqOjkZMdAyqqqq6hDIBUYTL7cMdVw3ByCxTUM/b24xGI7xeL5qbm6UuhSiitU+tq6ysxOLFizFnzpw+O7XuRD6fD3V1dQyeiPqpvv9bhugUlEolsrKyGDwREVFIGfQqPLZwLAxRKrjc3qAeOyUlBa3u1k7Nt33+ANweP+65ehgm5vavVey6YzQaAYDT7YgkEggEsHr1ajz55JNIS0vrF1PrTlRfXw9RFBk8EfVTCqkLIDpXFosF27Ztk7oMIiIKcwa9Co8vHIsXPinEzmIbtCoFZLJz77mk0+lgNBhRXV0No9EIl8cPU7QGi+bmISspOgiVS89kahuxVV9fj/T0dImrIUK/7Zd2Ku3X9ONrczgcePHFF1FQUIC5c+di9uzZ/WKU04lsNhsAICEhoVe/did7Tenc8HUNvr7+mjJ4on4vOzsbn376Kex2e8cbWyIiolDQqRVYNHcYdpXU4flPCuBs9UKrVpzzG72UlBTsLyzEsWorfjZ1OH5+UTaUiv71wfBUYmNjIQhCp1FdRFIJ91EzycnJHX/+/vvv8dRTT0EQBCxZsgTDhw+XsLKzt2/fPmi1WgwbNgxKpbLXz3/ia0rBw9c1+Prqa8rgifo9i8UCACgpKWHwREREvWJMdhz+detE/PfLEmwttKK51Qu9uucjoERRhNPjg0KmgCXFAI11Mxacf0VYhU4AIJfLERsby6l21CdYrdawXBFZEAQkJyejuroafr8f77//Pj744APk5eXhtttuQ2xsLKqqqqQu86wUFhZCq9V2jHzqLSe+plwcIXj4ugafVK+pQqE4ozCfwRP1e0ajEfHx8SgqKsK4ceOkLoeIiCKETq3ALdMHY+FlOdhSUIP3tx6FvckNt88PuSCDViXvEkSJogiPL4BWrx9qpRwapQxXjE7FVePTIfiGY/Hijfj444+xYMECia4qdIxGI4Mn6jPC+cOu3W7Hiy++iMLCQsydOxezZs2CTCbr19dstVqRkJAg2TWIotivX7++iq9r8PXV15TBE4WFnJwcNhgnIiJJqBQyXDw8BRcPT0FDiwdHapux90g9DpQ70OT0wh9oewMoCIBaKUdWUhRGZsUhOyUayQbtCeGUGpdffjnWr1+PqVOndjTkDhdGoxEOh0PqMojC2p49e/DII49AJpPhgQceQG5urtQlBYXVakVSUpLUZRDRWWLwRGEhOzsb27dvh8fjgUqlkrocIiKKULF6FUZkmTAi6+ymfs+cORMbN27EBx98gBtvvDG4xUnMaDTi0KFDUpdBFJYCgQA++OADrFu3DtnZ2bjtttsQExMjdVlBY7VaMWzYMKnLIKKzFF4NBChi5eTkwOfz4ciRI1KXQkREdNZ0Oh1mzZqFr776CtXV1VKXE1ScakcUGvX19XjiiSfwwQcf4LrrrsN9990XVqGTx+NBQ0MD4uPjpS6FiM4SgycKC2lpaVCpVJxuR0RE/d5ll10Gg8GAVatWSV1KUBmNRjQ3N8Pj8UhdClHY2LdvHx5++GFUV1fj97//Pa699to+u5z62bJarQDCfzVConDG4InCglwuh9lsRlFRkdSlEBERnROVSoW5c+fiu+++Q1lZmdTlBE17zyqOeiI6d36/HytXrsRTTz2F9PR0PPLII2HTz+nH2leyY/BE1H8xeKKwYbFYUFxc3Ce7+BMREfXEhRdeiJSUFKxYsULqUoKGwRNRcNTX1+PJJ5/EmjVrMG/ePNx7771hNbXux6xWKxQKRdgtuEAUSRg8UdjIyclBQ0NDx10RIiKi/koul2P+/PnYt28fDhw4IHU5QcHgiejcnTi17oEHHsDs2bPDbmrdj9lsNsTFxUEm40dXov6KP70UNrKzswGAfZ6IiCgsjB07FmazGe+9915YjObVarXQarUMnojOgt/vx4oVK/DUU08hIyMjrKfW/ZjVamVjcaJ+jsEThY3o6GgkJyezzxMREYUFQRCwYMEClJWVYceOHVKXExRc2Y6o59qn1n388ce45pprsGjRorCeWvdjVquV/Z2I+jmF1AUQBVN7nyciIqJwMHToUAwbNgwrVqzAeeedJ3U554zBE1HP7N27F0uXLoVcLscDDzyAwYMHS11Sr7NarRg3bpzUZRDROeCIJworFosF5eXlaG1tlboUIiKioFiwYAGqq6vx9ddfS13KOTMajbDb7VKXQdTnnTi1LjMzE3/5y18iMnRyOp1wOp0c8UTUzzF4orCSk5ODQCCA0tJSqUshIiIKiszMTEyYMAHvv/8+PB6P1OWcE454okghikBAFOAVZfCKMvhEAWfaqs1ut+OJJ57Axx9/jAULFuCee+6JqKl1J7JarQDAHk9E/RyDJworqamp0Gq1nG5HRERhZf78+WhoaMBHH30kdSnnxGg0oqGhISyapVNkWbRoERYuXHja1ZP9ooAWvxINfi0a/Bo0+dVo9qvR5NfAEdCiwa+GOyA/aQiVn5+Phx9+GLW1tfj973+Pq666KuxXrTuV9uApMTFR4kqI6FwweKKwIggCsrOzUVJSInUpREREQZOUlISLLroIy5cvh9PplLqcs2Y0GuH3+9HQ0CB1KURBJYqA069Eo18Dj6gABEAQANnx/wsCIACwWuvwyxsX4nf3LIY38EOg5Pf7sXz5cixZsgRmsxmPPPIIBg0aJN0F9RE2mw0qlQrR0dFSl0JE54DBE4Wd9gbjvJtKREThZM6cOfB4PPj444+lLuWsGY1GAOB0Oworogg0BdRwi4qOkOlk2p8TATQHNHAH5LDb7Xj88cfxySef4Nprr8Xdd9/NoOW49hXtInnUF1E4YPBEYScnJwfNzc2orq6WuhQiIqKgMRqNmDNnDtatW9dvgxsGTxRu2kMnvyicMnD6sfZta5s8eP6lV2Gz2fCHP/wBM2fOZMhyApvNxsbiRGFAIXUBRMFmNpshCAKKi4uRkpIidTlERERBM3/+fKxatQoffPABbrzxRqnL6bHY2FjI5XIGT9QnHTt2DKtXr0ZBQQE8Hg8SEhIwefJkTJ8+/aTbf711O/btL0SdzYqW5iaoNRoMTM/EpIsuw3njJ3ba/s1XXsDWzZsAAHU2G27++Vy4PW4oFAroNUrk5OQAAFwuF7777jvk5+ejoqKi4+clMTERo0ePxpVXXgmdThfCV6LvqK2tRV5entRlENE5YvBEYUen0yE1NRXFxcWYPHmy1OUQEREFjV6vx6xZs/Dee+/hiiuuQHJystQl9YggCIiNjWXwRH3OoUOH8NRTT8HtdiMxMRHDhg1DU1MTVqxYcdJFaz79dC2+2LQZSSkDkDowDVqdHvV2Gw4V7MfBA/tQVnII1/zsho7tswcNhru1Fbu2b4XP74clNw+xsTHQR0VDgUDHduXl5Xj99dcRExOD5ORkZGZmoqWlBYcPH8aaNWuwbds2PPzww4iKigr56yIlURQ54okoTDB4orDU3ueJiIgo3EydOhXr1q3DqlWr8Jvf/EbqcnrMaDQyeKI+xePx4IUXXoDb7cb06dPx05/+FDJZW0eS8vJyPPHEE2hqauqy37gLJuOiKxcgISmp0+M11ZX419//ii/Wf4qxEy5AptkCALhwyqVITcvEpi8/R6zBhN/d+3vo9XqIYlvjcVF0QRCA+Ph4LF68GEOHDu007c7tdmPZsmXYvHkzVq5ciYULF4buRekDGhsb4fF4EB8fL3UpRHSO2OOJwpLFYsGxY8f69co/RERE3VGpVJg7dy6+++47HD58WOpyeozBE/U1O3bsgN1uh8lkwrXXXtsROgFAWloaZs2a1e1+WYOHIz4xqcvjSckDcMWsuQCA3Tu+AwCIYgCVlZU4cvgw5HIFYmNjodfrAbT1exIB+I9/NDOZTMjLy+vS60mtVmPhwoWQy+XYsWPHOV93X2e1WgGAwRNRGOCIJwpLFosFoiiitLQUw4YNk7ocIiKioJo0aRI++eQTLF++HPfdd5/U5fSIyWTCvn37pC6DqENhYSEAYMKECVAoun48mjRpEt5+++1Oj4kiEIAAj7sV+/L3oOLoYTQ3N8Hv8wEAGhrawtWa6ip4PR4cPnIYzhYnklNSoNPpIJN1DpVEAF5RBoXww5S7oqIiHDx4EHV1dfB4PB2Py+VyNDY2oqWlpSO8Ckc2mw0AONWOKAwweKKwlJycjKioKBQVFTF4IiKisCOXy3HNNdfg3//+Nw4cOIChQ4dKXdIZ44gn6mvavx9PNrJGr9dDp9N1GUmfv2cX/vPqi2hpbj7psV1OJw4eOgRBEGDJyUGrq/vR+AIAv9gWRjU2NuLZZ5/FoUOHTlm3y+UK6+Cptra247Unov6NwROFJUEQ2OeJiIjC2tixY5GVlYXly5fj4Ycf7jdLsBuNRrhcLrS2tkKj0UhdDtFZqa+349UX/gmvx4tpV87C+ImTYIqPh0ajhSAIKNiXj2eXPAaP243W1lYMy8uDRqs9afB0oldffRWHDh2CxWLB3LlzkZ6eDp1O1zEa684774TD4QjxFUrPZrNxmh1RmGCPJwpb2dnZKCkpQSAQOP3GRERE/YwgCLj22mtRWlrar/q9GI1GAOCoJ+ozDAYDgB+mdv2Y0+nsMtpp9+498Hq8GHXeOMxd8HOkpqVDq9V1BMC1NdUAAIVSAYVcDldr6ylrEAHIBRGtra3Iz8+HIAhYtGgRhg0bhpiYmI7QqbW1FQ0NDedwtf2H1WrlNDuiMMHgicJWTk4OXC4Xjh07JnUpREREITF06FAMGzYMK1asgN/vl7qcM9IePNntdokrIWqTm5sLANi2bRt8x3s0neibb77p8lhLSzMEiDCauo7IEUUR27duBgDIZHJoNBo0H5+OJz8eIPn9nW+MCgCUQgAulwuBQABarbbbKWbffvstRFHs2QX2UzabjcETUZhg8ERhKysrCzKZjNPtiIgorC1YsADV1dXYvHmz1KWcEY54or5m3LhxMBqNqKurw4oVKzoFOxUVFVizZk2XfQYMGABBELF753dwOH74Xg4EAvho9XKUFv/QnykqKgrNTU3H/xwNhUKBxgYHWprbHhPFtuBJjkDHandOp7PLz3RxcTGWL18ezEvvswKBAOrq6hg8EYUJ9niisKXRaJCWlobi4mJccsklUpdDREQUEpmZmZgwYQJWrVqFiRMnQqVSSV3SKalUKuj1egZP1GeoVCrcfvvtWLJkCT799FPs2rULWVlZaGpqwsGDBzFq1CgcPny401S80aNHw5yZgeKycvz5gbuRkzsUKpUaR8qK0eBw4PIrZ2P9Jx8CAKKio2Gz2eD1eKBUqTB81HnYveM7/O2PDyA7ZzCUKjUUCODXt9wIQZBhzpw5ePvtt7F06VJs2LABCQkJqKurQ3FxMc4//3wcOnTopNMCw4Xdboff72fwRBQmOOKJwhobjBMRUSSYN28eGhsbsWHDBqlLOSMmk4nBE/Upubm5+OMf/4ixY8eipaUFO3fuRH19PebOnYvf/OY3XbaXy+X4w+9/j6tmzUKs0YSDBftQdPAABqZnYtGDf8bQ4SM7to2Kalt5rn263c8X3oRJF18GQRCwe+d2fPv1l9j6zcaO7adPn44777wTOTk5qKqqwu7du+Hz+XD99dfj1ltvDe0L0UdYrVYAJ19pkIj6F454orCWk5ODDRs2oKmpCdHR0VKXQ0REFBLJycmYMmUK1qxZg4suuqjPLz9uNBoZPFGfM3DgQNxxxx3dPrdkyZIuj2k0Gvzsmrm4at5P4Rdl+PHCks+//r8fttVq0dTcDKPJBH1UNH6+8Ga0z+jTy9xQyTr3fBozZgzGjBlzxrWEm/YRXQyeiMIDRzxRWLNYLACAkpISiSshIiIKrTlz5sDr9eKTTz6RupTTMhgMDJ4oLAgCEC1zQyaIOFXP76ioKLQcH/EEoGNbrczTJXSithFPBoOhz08dJqIzw+CJwlp8fDxiY2NRVFQkdSlEREQhZTQacfnll2PdunV9PtThiCcKJ4IAxMhaoRJ8EEV0G0BFRUXB7XbD4/EcbyYuIkrmhkbWP1aj7G1Wq5X9nYjCCIMnCmuCILDPExERRYyZM2dCqVTiww8/lLqUUzIajWhoaIDfzw/dFB4EAdDLvYiRt0J5QgAlikBAbFvNTq5QoKnBAZ3Mg1h5K5Qc6XRSNpuN0+yIwgiDJwp7OTk5KC0t5ZtbIiIKezqdDldddRW++uor1NTUSF3OSRmNRoiiiIaGBqlLIQoquSAiSu6FQe5CjLwVUXI3ouQeGFQ+bPjgbWz86F2oZf4u/aCoM454IgovDJ4o7FksFng8HpSXl0tdChERUchNnToVMTExWLVqldSlnJTJZALQtmQ6UTgShLYQSikEoBL8UAgBWLLNKCwslLq0Ps/r9cLhcDB4IgojXNWOwl5GRgYUCgWKioqQmZkpdTlEdBpCL94Gbj9Xb57zbLHW0AjHWtVqNebOnYvXXnsNV155pST/9p2u1vbgyeFwSP7ah+P3APVNQ4YMwWeffcZpZKdhs9kgiiJfI6IwwuCJwp5KpUJGRgaKi4sxbdo0qcsholOQ6u5mcnKyJOc9G6w1NMKt1muvvRZfffUV1q5diz//+c+9UFX3TlZrcnIyoqOjIQgCUlJSermq7oXb9wD1PYMHD4YgCCgoKMDkyZOlLqfPstlsAIDExESJKyGiYGHwRBHBYrFg586dUpdBRKdhtVrh8/l67XyCICA5ORnV1dUQT7UOdh/AWkMjnGu98sor8eyzz2LDhg0YOnRoL1T4gzOpVaPRoLS0FFVVVb1a24+F6/eAQqHgVKU+JioqCunp6SgsLGTwdApWqxUymQxGo1HqUogoSBg8UUTIycnpWF6a/4gR9W1SfPATRbHPf+Bsx1pDIxxrPe+885CVlYX33nsPDz/8sCTTs05Vq9FohN1u7zOvezh+D1Dfk5uby5uhp2G1WmEymSCXy6UuhYiChM3FKSJkZ2cDAIqLiyWuhIiIqHcIgoBrr70WpaWl2LFjh9TldNEePBFFktzcXNhsNlitVqlL6bNsNhtH6xGFGQZPFBFMJhPi4uJQUlIidSlERES9ZujQocjLy8PKlSvh9/ulLqcTo9GI+vp6qcsg6lUn9nmi7lmtVgZPRGGGwRNFDIvFwhFPREQUcRYsWICqqips3rxZ6lI6MZlMqK+v55Qxiih6vR7p6ekMnk7BarVyRTuiMMPgiSKGxWJBWVkZvF6v1KUQERH1mqysLIwfPx6rV6+Gx+ORupwORqMRHo8HLpdL6lKIetWQIUNQWFjI0LUbLpcLzc3NHPFEFGYYPFHEsFgs8Pl8OHLkiNSlEBER9ar58+fD4XBgw4YNUpfSoX2xD063o0gzZMgQ2O121NbWSl1Kn2Oz2QCAwRNRmGHwRBEjPT0dKpWK0+2IiCjiJCcn46KLLsKaNWvgdDqlLgcAgyeKXIMGDYIgCDh48KDUpfQ57U3XOdWOKLwweKKIoVAokJWVxeCJiIgi0pw5c+D1evHJJ59IXQoAwGAwAABXtqOIo9PpkJmZiQMHDkhdSp9js9mgUqk6fj8QUXhg8EQRxWKxoKioiHPqiYgo4hiNRkybNg3r1q3rE6OMFAoFYmJi+kQtRL0tNzeXfZ66YbVaERcXB0EQpC6FiIKIwRNFFIvFAofDgbq6OqlLISIi6nVXXXUVlEolPvzwQ6lLAdAWhjF4okg0ZMgQ1NfXo6amRupS+hSr1cr+TkRhiMETRRSLxQIAnG5HREQRSafTYebMmfjqq6/6xAdeBk8UqQYNGgSZTIbCwkKpS+lTbDYb+zsRhSEGTxRRYmJikJSUxOCJiIgi1rRp0xAdHY1Vq1ZJXQqDJ4pYWq0WmZmZKCgokLqUPkMURdTW1iIxMVHqUogoyBg8UcTJzs5m8ERERBFLpVJh7ty52Lp1K44cOSJpLQyeKJKxz1Nnzc3NcLvdHPFEFIYYPFHEycnJwZEjR+B2u6UuhYiISBKTJ09GcnIyli9fLmkdRqMRjY2N8Pl8ktZBJIUhQ4bA4XCgurpa6lL6BKvVCgDs8UQUhhg8UcSxWCzw+/0oKiqSuhQiIiJJyOVyXHPNNdi7d6+kS7objUYAgMPhkKwGIqnk5OSwz9MJbDYbAAZPROGIwRNFnIEDB0Kj0fAfeSIiimhjx45FVlYWli9fLtlUn/bgidPtKBJptVpkZWWxz9NxtbW10Ol00Ov1UpdCREHG4IkijkwmQ3Z2NoMnIiKKaIIgYMGCBSgtLcXOnTslqcFkMgFg8ESRKzc3FwUFBezzhLYRTxztRBSeGDxRRMrJyeE/8kREFPHy8vKQl5eHFStWwO/39/r5tVotVCoVgyeKWEOHDkVjYyMqKyulLkVyVqsVcXFxUpdBRCHA4IkiksViQWNjI2pra6UuhYiISFILFixAVVUVNm/e3OvnFgSBK9tRRLNYLJDL5RyJj7bgiSOeiMITgyeKSNnZ2QDABuNERBTxsrKyMH78eKxevRoej6fXz8/giSKZRqOB2WyO+OBJFEXU1dUhPj5e6lKIKAQYPFFE0uv1SEtLY/BEREQEYP78+XA4HNiwYUOvn5vBE0W63NxcFBYWRnQLiPr6evh8PiQmJkpdChGFAIMnili5ubkoLi6WugwiIiLJJScn46KLLsJHH30Ep9PZq+c2Go2w2+29ek6iviQ3Nzfi+zxZrVYA4FQ7ojDF4Iki1pAhQ1BRUQGXyyV1KURERJKbM2cOPB4PPvnkk149r9FohMPhiOjRHhTZcnJyoFAoUFBQIHUpkmkPnthcnCg8MXiiiJWbmwtRFFFSUiJ1KURERJIzGo2YNm0a1q1b16tT34xGI7xeL5qbm3vtnER9iVqthtlsjujgqa6uDjExMdBoNFKXQkQhwOCJItbAgQOh1+sZPBERER131VVXQalU4sMPP+y1cxqNRgBgnyeKaLm5uTh48GDEjvyrra3lNDuiMMbgiSKWIAjIzs5mnyciIqLjdDodZs6cia+++go1NTW9ck6TyQSAwRNFtiFDhqCpqQkVFRVSlyIJm83G4IkojDF4ooiWk5OD4uLiiL27RERE9GPTpk1DdHQ0Vq1a1Svni42NhSAIDJ4oolksloju82S1WhEfHy91GUQUIgyeKKJZLBY4nc6IXkWEiIjoRCqVCnPnzsXWrVtx5MiRkJ9PLpcjNjaWwRNFNJVKBYvFgsLCQqlL6XU+nw92u50jnojCGIMnimhmsxmCIHC6HRER0QkmT56M5ORkrFixolfOZzQaYbfbe+VcRH3V4MGDI7LPU11dHURR5IgnojDG4IkimlarRVpaGoMnIiKiE8jlclxzzTXIz8/vlak/RqMRDocj5Och6suGDBmC5uZmlJeXS11Kr7JarQDAEU9EYYzBE0U8i8WCoqIiqcsgIiLqU8aOHYusrCwsX7485CMwjEYjp9pRxMvOzoZSqYy46XY2mw2CICAuLk7qUogoRBg8UcSzWCyoqqpCc3Oz1KUQERH1GYIgYMGCBSgpKcHOnTtDei4GT0RtfZ6ys7Nx4MABqUvpVVarFSaTCQqFQupSiChEevzTLQhC0ItoP2Yoji2VcLumcL6enJwcAEBpaSlGjhwpZVnnJJy/RuEg3K6HiCJDXl4e8vLysHLlSowePRpyuTwk5zEajWhubobH44FKpQrJOYj6gyFDhmD9+vUQRTFi3jPYbDZOsyMKcz0KnkL9CyE5OTmkx5dCuF1TOF5PUlISkpKSYLVakZKSInVJ5ywcv0bhJNyuh4jC34IFC/CnP/0JmzdvxpQpU0JyDqPRCACor69HUlJSSM5B1B/k5uZi9erVOHr0KDIyMqQup1eEy3twIjq5HgVPVqsVPp8v6EUIgoDk5GRUV1eHzSoO4XZN4X49qamp2LFjB6ZOnSp1aWct3L9G/d2Pr0ehUPDuHhH1C1lZWRg/fjxWr16NiRMnhmREEoMnojbZ2dlQqVQoLCyMqOCpP886IKLT6/FUu1B+ABRFMSw+YJ4o3K4pXK/HYrHggw8+gM/nC9k0gt4Srl+jcBFu10NEkWHevHn4wx/+gA0bNmDGjBlBP/6JwRNRJFMqlR19nqZPny51OSHX2tqKxsZGNhYnCnNsLk6EtgbjbrcbFRUVUpdCRETU56SkpOCiiy7CRx99BKfTGfTja7VaaLVaBk9EaOvzdOjQIQQCAalLCbm6ujoAoW/pQkTSYvBEhLZpBHK5HMXFxVKXQkRE1CfNmTMHHo8Hn3zySUiOz5XtiNoMGTIETqcTR44ckbqUkLNarQAYPBGFOwZPRGhbvjY9PZ3BExER0UkYjUZMmzYN69atg8PhCMnxGTwRtd0Qbe/zFO5qa2uhUCg6ptsSUXhi8ER0XE5ODoMnIiKiU5g5cyYUCgU++OCDoB+bwRNRG6VSiZycnIgInmw2G+Li4iAIgtSlEFEIMXgiOs5isaC2thYNDQ1Sl0JERNQn6fV6XHXVVfjqq69QU1MT1GMzeCL6QW5uLg4ePAi/3y91KSFls9k4zY4oAjB4IjouJycHADjqiYiI6BSmTp2K6OhorFq1KqjHNRqNcDgcXPmTCG19nlwuV9j3eWLwRBQZGDwRHWcymWAymRg8ERERnYJarcbcuXOxdevWoH4oNhqN8Pv9HHlMhMjp82S1WhEfHy91GUQUYgyeiE5gsVgYPBEREZ3G5MmTkZycjBUrVgTtmO3NhTndjghQKBQYNGgQCgoKpC4lZFpaWuB0OpGYmCh1KUQUYgqpCyDqSywWC5YvXw6fzweFgj8eRERE3ZHL5bjmmmvw73//GwUFBRgyZMg5H/PE4CkrK+ucj0d0Kv2hmfWQIUOwZs0aBAIByOXy027ffk394dqAtml2AJCQkNBna+5vr2l/wdc1+Pr6a8pP1kQnyM7OhtfrxZEjR5CdnS11OURERH3W2LFjkZWVheXLl+Ohhx465ze7sbGxkMvlHPFEIddfegpddNFFWLNmDVpaWjB48OAz3i85OTmEVQVPWVkZNBoNhg8fjpiYGKnLOaX+8pr2N3xdg6+vvqYMnohOkJmZCaVSieLiYgZPREREpyAIAhYsWIAnn3wSu3btwnnnnXfOx4uNjWXwRCFntVrh8/mkLuO0dDodAGDTpk1nFMwIgoDk5GRUV1f3iyb97f2rmpub0dLSInE13etvr2l/wdc1+KR6TRUKxRmF+QyeiE6gUCiQmZmJ4uJiTJ8+XepyiIiI+rS8vDzk5eVhxYoVGDVq1BlNBzoVo9HI4Il6RX/4sCuXyzv6PM2cOfOM9xNFsV9cX01NTccH1r5eb395Tfsbvq7B11dfUzYXJ/qRnJwcNhgnIiI6Q9dccw0qKyuxefPmcz4WgyeizgYPHoxDhw71ixFaPWWz2biiHVGEYPBE9CPZ2dmw2+2w2+1Sl0JERNTnmc1mjB8/HqtXr4bH4zmnY5lMJgZPRCcYMmQI3G43Dh8+LHUpQWe1WvtNvy0iOjcMnoh+xGKxAABHPREREZ2hefPmweFw4Isvvjin43DEE1FnmZmZ0Gg0KCgokLqUoBJFEXV1dQyeiCIEgyeiHzEYDEhISGDwREREdIZSUlI6VuByOp1nfRyj0QiXy4XW1tYgVkfUf8nlcgwePDjsgieHwwGPx8OpdkQRgsETUTcsFguKioqkLoOIiKjfmDNnDjweDz799NOzPobRaAQAjnoiOkFubi6KiorCqs+TzWYDAI54IooQXNWO6EdEUUTigAx89k0+Xl65BcVH7Whp9cAfaFshQC4ToJTLMSAxBiMGDcDgzASkJhqgUp7bSj5ERET9mdFoxLRp07B27VpMnToVKSkpZ3UMoC14Opv9icJRbm4uPB4PysrKkJOTI3U5QWG1WgGAI56IIgSDJ6LjmpxufPbtQaz/9hDs9Y0oaTLhk037YTLGQCYIHdv5/YDH68eB0hrsOnAMcrkMKpUcOWnxWDB9JCxp8RBO2J6IiChSzJw5Exs3bsQHH3yAIUOG9Hh/jngi6iojIwNarRYFBQVhFTxFRUVBq9VKXQoR9QIGTxTxKmoc+O/Hu1BQVoNWjx9RWiViovVQKwC/190pdDqRUiGHMuqHUU4Hj9TiTy+shylGi9kX5+HS8TmQyzmblYiIIoder8fMmTOxatUqLFy4sMf7q1Qq6PV6rixLdIIT+zzNnj1b6nKCwmazcZodUQThp2KKWD6fH//9ZCce+BCTo70AAJV8SURBVOfH2F9SDaVCjmidCoIgQBAE6HQ6tLS0nPHxVEoFdBolnK1evPb+Nix++iNUWhtDeAVERER9z7Rp0xATE4O33nrrrPY3mUwc8UT0I7m5uSguLobX65W6lKCwWq0MnogiCIMnikhHKu341f+9iY++OgCNSgG1quvgP71eD6ezBaLYs2PLZAKidGrUOVpw/9MfYcVn3yMQ6OFBiIiI+im1Wo2rr74amzZtwpEjR3q8v9FoZPBE9CNDhgyBx+NBaWmp1KUEhc1mY38nogjC4Ikizlc7S/D7f30CR5MTeq3qpP2YdDo9vF4fPB73WZ1HqZRDrZJj1Ya9+OPza+H2hM9KJERERKcyZcoUpKamYvny5T3e12AwMHgi+pH09HTodDoUFhZKXco58/v9qKur44gnogjC4IkiytrNBXhp+bfQqhVQKk69Cp1erwOAHk23+zFBEKDXqlB6zI4Hn/0UzlbPWR+LiIiov5DL5bjuuuuQn5+PgoKCHu3LEU9EXclkso4+T/1dfX09AoEAgyeiCMLgiSLGl9uLsWzNTug0yjNadU6hUECjUaOlxXnO59ZplKi2NeLPL6yH28uRT0REFP4uvPBCZGVlYfny5RB7MG/daDSioaEBfr8/hNUR9T9DhgxBSUkJPJ7+fSOztrYWADjVjiiCMHiiiHDwsBVLV26F/gxDp3btfZ6CQatRoqK2AUuWfdmjN+BERET9kSAIWLBgAUpKSrBr164z3s9oNEIURTQ0NISwOqL+Jzc3Nyz6PNlsNgiCwOCJKIIweKKw5/b68MxbX0GjUvQodALagieXywW/PxCUWnQaJfYVVWPL94eDcjwiIqK+bNiwYcjLy8OKFSvOeASTyWQCANjt9lCWRtTvpKenQ6/X9/s+T1arFQaDAUqlUupSiKiXMHiisPfG+9vR0NwKubzn3+56vR6iiKCNegIArVaJV1d9h8bm1qAdk4iIqK+65pprUFlZic2bN5/R9kajEQDY54noRwRBCIs+T1arlf2diCIMgycKawcPW7FpVyn0WtVZ7a9WayCXy4PS56mdTBDg9QXw7P++CdoxiYiI+iqz2Yzx48dj9erVZ9SbJioqCkqlksETUTfCoc+TzWbjNDuiCMPgicLaq6u3QqU89ep1pyIIbavbBXPEEwBo1AoUlNbgaBXfVBMRUfibN28eHA4Hvvjii9NuKwgCDAYDHA5H6Asj6meGDBkCr9eL4uJiqUs5axzxRBR5GDxR2Kq0NqLS2gjFCVPsdqx9GTvWvtyj4+j1erS0tCDY/cBlMgErP88P7kGJiIj6oJSUFFx00UVYs2YNnM7TjyI2Go0c8UTUjYEDByIqKqrf9nnyeDxwOBwMnogiDIMnClurN+wFghAW6fV6+Hx+uN3B7cmkVimQf6gKztb+O1SaiIjoTM2ePRsejweffvrpabdl8ETUPUEQkJub22+DJ5vNBgAMnogiDIMnCktujw87DpRDq+m8WkbepAXIm7SgR8fS6XQQBKClJbjT7QCg1ePFF98VBf24REREfY3JZMK0adOwdu3a006jY/BEdHKDBw9GSUkJ3G631KX0GIMnosikkLoAolAoLreh1e1FlE7d6XFtlKHHx5LL5dBotGhpcSIuLi5IFbbRaVX4elcZrrooL6jHJSIi6otmzpyJjRs34sMPP8QNN9zQ5Xmvz4+KmgYctQvYcSSAv72yAV6fHwq5DFq1EuaBJgwxJyE92djl5hJRpBg6dCh8Ph+Ki4uRl9e/3kNarVbI5fKO1SuJKDIweKI+p7q6Gh999BEKCgrgcDggl8sRFRWFgQMHYuzYsZgyZUqn7auqqrB+/XocOHAAdrsdMpkM9S0B1LSokJY9HNpoU8e27f2dxl5xS5fzioEAbJWHUFdZDFeTHQG/D0q1DrHxA6HWJHYZ8dRor8ShbR8jypSCQWNnoObwXtRVFsPtbIJMrkC0KRmpOWOhjer+H1af143aI/tRWHsEtx/8CH6/H7GxscjKysLkyZMxYsSITtv7/X5888032LJlC8rLy+F2u2EwGDB8+HDMnj076KEYERFRsOn1esycOROrVq3C9OnTkZSUhKaWVnz6TSG+2V2GJqcbXq8f9noH6l0qFJZVQ6GQQxSBQEDEtv1HIRMEqJRy6LUqDMtOwdzLhiM5PlrqSyPqNampqYiOjkZhYWG/DJ7i4uIgk3HiDVEkYfBEfUpFRQUeffRRuFwuJCcnY9SoUZDJZLDb7SgsLER9fX2n4Onbb7/Fq6++Cq/Xi7i4OIwYMQKiKGLNhh1oqD0MfVQUUk8Ink7G7/OgeNdnaLJXQiZXQhcbD6VKA2eTHdbyAvjFQsgMg+H350Au/9EqeYEAineuQ7OjBlHGFGj0BrQ0WOGoOYymuioMvXAu1NrOb4idjXUo2rUO3tYWQKbEwPSRMBliUFdXhz179qCxsbFT8ORyufDMM8+gsLAQarUaWVlZiI6ORnl5OTZu3Ijt27fj/vvvR0pKyrl9AYiIiEJs2rRpWL/+M7y8bDlkxlwcPGKFx+uDXquCQi6DQi6DIUaH2moRYsAPuez4yCY5Oq1U6/H6sXlPGbZ8X4YBCbGYN3U4xg5Ng1zOD7QU3tr7PBUUFEhdSo9ZrVbEx8dLXQYR9TIGT9SnrF27Fi6XC/Pnz8fs2bM7PefxeFBaWtrx97KyMrzyyivw+/34xS9+gWnTpkEQBADAgcYVSGlugM9zZg3Bj+zfjCZ7JWIT0pE5fAqUKm3HczWH9+LIgS1oqd6H5ubhiI01dNq32VEDXUwchk/5CZRqHQAg4PehePdnaLRVoKr0e2TmTerY3u/zomjXenhbWxA3IAfGjLGYcfU0nDc0DQDgdDo7XScALFu2DIWFhRg1ahRuuukmxMTEdDy3bt06vP3223juuecwfvz4M7peIiIiqXh8ItyGkVi5uRQ5Fh1iY6I6BUoAoFS2hU1erxcajeakx2qfbmetb8Yzb21CcnwM7l14MVITY0N3AUR9QG5uLv73v/+htbX1lD8jfY3VakVmZqbUZRBRL+MtIepTGhsbAQAjR47s8pxKpUJubm7H3z/88EP4fD5MnToVl19+eUfo5PMH0NrqhVobDX3s6RsXuprrYa8q+f/s3Xd81PX9B/DX9/b4XvaeJJDBkKGgIIriRuuu1bpw1EERrXVUQA240La2VnEiCo466uhPa2u1inVVxYEIZEAui5Bx2bk9vt/fHzHRmAQuyV2+l8vr+Xj0Ubn73vf7/n5JuPu+7vN5f6DVm5A/a3G/0AkAUicdhLiUXEh+F2z7rIPsQcCkGUf1hU4AoFJrkDHlEABAd2t9v61b9pbD57bDFJP4fcilg3VvW9/zJpMJM2bM6PtzfX09PvvsM8TFxeHqq6/uFzoBwIknnohZs2ahsbERX3311QHPl4iISAmyLOOTbVW47r6/w+7VwWTQosXWPOi2vcGT1xvcyq9qtQqiSY/2LidueeAtvPTvbQgEpJDVThRppk6d2tfnaTxpbW3liCeiCYjBE0WU/Px8AD0jfL777rshP3BKkoSdO3cCAI4++uh+z/l8AUAI/pidtjoAMmKTs6HW6AbdJiYxA2q1Gp0t+wY8pzOKMMUM7K/U28jc6+7fG6qzZS8AIDGzCIKggkoQ4HT7hqxv+/btkGUZM2fOhNFoHHSb3kBuPA65JiKi6OfzB/CHTR/g4Rc+gaASYDLqkJGRjq6uLtjt9gHbC4IArVYDn2/o98fBaDVq6HVq/N+WHfjdA/9AZ7crVKdAFFEyMjIQExODsrIypUsJmsvlgt1uR0pKitKlENEY41Q7iihLlixBRUUFdu7ciT/+8Y/QaDTIzs5GUVERDjvssL5gym639y0hm5aW1m8fAUmCLAd/TI+rG0DPSKSWveVDbqdWq9Hd2YG9e+uRkfFDLyWdwTz49t+HWLIU6Pe4193zAdtojut5QAB8fv+Qx21u7vk2+MMPP8SHH36433Pp7Ozc7/NERERjzeP1464N78Ja1wqz6YcveGJj42AyGbFv3z4UFBRC+MmXRlqtdtjBE9ATWpmNOjS12XHLg2/hzuVLkBQ3+Hs10Xg1Hvs82Ww2AOCIJ6IJiMETRRS9Xo+bb74ZVqsV3333Hfbs2YPdu3ejqqoKb7/9No455hgsXbp0v/vQatT7fX6A71MqU0wijJahV4br7upCt6dniHBXVxcSY77/8PzTT8rDJMsy9Nqhl4SWv68vNzcX2dnZQ24nCAKKiopGVQsREVEo+fwB3PXEu7DWt8Fk7D+qWBB6Rm3s2VOJzs5OxMX178s00uCpl0GngdPlxa3r/4V7rzsFcZbBRw0TjVfFxcV4/vnnx02fp97gKTn5wK0wiCi6MHiiiJSfn983uikQCODrr7/GE088gffffx/z5s1DcXExdDodvF4vGhsbkZWV1fdajVo1rCyod8SSOS4VudMWDrldY2MjVC2tmDJlCmpra1FbWwuP2wPzcIZXfX88t70dLkcHYpIyIUlyv2+AfyohoWdVvilTpuDiiy8ecjtBEJCeno6GhoZh1UNERBQOsizj/mc+6AmdDIN/wWKxWGCxWNDQ0IDY2Ji+fo1AT/DkdDpHVYNO2xM+lTzyNn7/21Oh1/KjL0WPqVOnIhAIYPfu3TjooIOULueAWlpaoNPpBvQrJaLoxx5PFPHUajXmzZvX13C7rq4OKpUK06dPBwB88MEHP9leBbNx6CDnp2KTe0YRdTTXQgoMPeVNlmUIAmAw6FFQMAXJycnwej1oa22Dw+EY8nUDjpfUE5K11pdDlnsanxbkDD3kuLfR+jfffBN0k1UiIiKl/ed/pfi2fN+QoVOvjIx0uN1utLW19Xt8tCOeeul1GtjaHdj0962j3hdRJElPT0dsbOy4mW5ns9mQlJTUL2AmoomBwRNFlPfee2/QETsdHR2orq4G8MMIoNNOOw1qtRr/+c9/8N577/VNSQOAtKQYOOydcHTaDnhMU0wS4lLz4HPbseeb//T1fPqxgN+H7pZaSP6e4EcQBCQkJsAsihAEAbt378a+fQ2QpAOPfkrKKobWIMLZ1YrqHR9BLciYlBHf97zL5cKOHTv6/pybm4u5c+eira0NDz30EFpaWgbs0+1249NPP0VHR8cBj09ERBRund0uPPTcFhgPEDoBPau5xsfHobGxEZL0w0p0PcGTv9/7+0iZjTp8+LUVZVVNo94XUaQQBAFTp04dNw3GbTYbG4sTTVAcb0wR5YMPPsAzzzyD5ORkZGZmwmg0oru7GxUVFfB6vZg6dSoOPvhgAD3T8S677DI8/fTTeOaZZ/DPf/4TeXl5kGUZ5d+U4bsd5cguOgTm2APPI887aBH2+L3oaqnDjo/+BqMlAXqjBUBP83FXdxtcTidicg/t9zq1SoXY+HjEpaWjqakRXV2dyMnJgclkGvJYao0WBQcfj91f/Rut9RXobK7Bk0+0Qq/Xo62tDTU1NcjPz+8b4QUAv/rVr+B0OrF9+3b87ne/Q3Z2dt/8eJvNhrq6Ovj9fhx22GFQq4fZ44qIiCiEZFnGX57/EL5AAKogRzakpaWjrKwULS0tfTemWm3P6GWfzwedLviRzEPRa9X4y/Mf4YHfncEpdxQ1iouL8cUXX8Dlcu3382cksNlsmDp1qtJlEJEC+K5LEeXss8/Gt99+i8rKSlitVjidTsTExCA/Px9HHnkk5s+f3y9YOeKII5CXl4e3334bpaWl2LZtG7RaLSwmPZKyipGQlh/UcdUaHQrnLkF7oxWt+3bD0dkCV3cbVGotdHoTEtInwyeY4RMGaUwqCEhLS0VsbAxqa2tRUVGB1NTUAavt/ZgpJgnTFp6Nxqrv4Lc3orS0FLIsIy4uDnPmzMGRRx7Zb3uj0Yibb74Zn3/+OT799FNUVVWhrq4OBoMBcXFxWLBgAQ4++GCkpaX1NW4kIiJSQllVM0qrmpEYHwO32x3UawwGPRITE9HU1ITExESo1Wpov194I1TBk1qtQke3C29s2YlzTpg16v0RRYLi4mJIkoTdu3f3tWeIRLIsw2azYdGiRUqXQkQKYPBEEWX27NmYPXv2sF6TmZmJyy+/vN9j/oCEZXe9MmB4/tyTrhhyP4IgICF9MhLSJw/6fH19Pbq6uvr+HJOQ0W9/RqMRhYWFaGpqQmNjE7q6ujD9qAthNA6+io5WZ0B89kws+8XVWHTI4Mf8aX3z58/H/Pnzh3xeo+GvNBERKeeGG27Ap1+VIm/uGQCG10A4NTUNbW3taG5uRnp6OnS6H4KnUDEbdfjP5xU4+7iZUKnYZ4bGv7S0NMTFxaG0tDSig6fu7m54vV4kJQ3d15SIohd7PFFU0qhVOHruZDhcofuw2tNcfP8fUgVBQFpaGgoLCyHLQEVFBRobGwftTyHLMkxGHebPnBSyGomIiJTk8frhdHmh0Qx/2rdOp0VychKam23w+fxQqdRQqVTwekP3Xi4IArodHmwrrw/ZPomU1NvnKdIbjDc3NwNAX6sIIppYGDxR1Dpl0TTotKHudxTct6MmkxFFRYVISUlBY2MjKioqBkw3cLp9WDg7Lww1EhERKaOusQNBrLMxpJSUVAiCgKamRghC6Fa2+zG9ToNX3t0e0n0SKam4uBjV1dVwOp1KlzKk3sVxGDwRTUwMnihqxVmMmJydCK/PH5L99Yx4Cn57QRCQnp6OwsJCSJKM8vJyNDU19Y1+UqtVOO3o6SGpjYiIKBI0t9uhVo98CptGo0ZqagpaWlrh8XjCEjxp1CrUN3fC6faGdL9ESpk6dSpkWUZFRYXSpQzJZrPBbDZHfAN0IgoPNoShqHbl2Qtw05/eCGqaXHCGvw+TyYSiokI0NjaioaEBnZ2dSE7NwPELpiIpzhyCmoiIiJTn9vjg90uDvlMGAn401+xAe6MVbkcXZFmG3mRBfEouUvNmQqPV922rEzxo2/0evm74ChnTjh10qp0sSfj2g7/C73Vh2uFnwRST2PecFPCjuXYX2puq4LZ3QpL80BlFxKXkIj1vFjQ6A7z+AGobOlCcx6XdafxLSUlBfHw8SktLsWTJEqXLGVRLSwv7OxFNYBzxRFEtLcmCs46dCad79N+WDnfE04+pVCpkZGSgoKAAPn8Ae2v2IMPUDkmSRl0XERFRJKhpGPx9ze91o/zzN1BfsRUeZzdiEjMQm5wNv9eFBus27Pr0dXhc3X3bxyVnQ7TEw9nVDre9DT7fwJFJnS118HtdMMUk9QudvG4HSj/7P+wt/xxuRxfMsUmITc6GLEloqtqOXf/7e8+xZBm7rE3huRA/ccMNN2Dp0qX46KOPxuR4NPH09nkqKytTupQh2Ww2TrMjmsAYPFHUO33xDGQkx8DrC4xqP7KMUY+aMpvNyJ2Uj18cU4BX//Yy7rnnHjQ2No5qn0RERJGgvLoZg7V3qtn1CZxdrTDHpeCgRediysEnYMqc43DQovMQk5QNr6sbVd9u6dteEARk5M+ASqVC674K+Hw+/HSNjpb6nilFiZmFfY/Jsgzrtvfg6m5DUlYRZh51LgrnnYwpc47HQUf+AqmTZsLr6kb1dx/CqNfiu90N4bgMRIqYOnUqqqur4XA4lC5lUC0tLQyeiCYwBk8U9VQqATcuXQwACIxqhJGMkUy1+zGn24vj5hfit8svxcqVK9HV1YXbbrsN77zzzqAr3xEREY0Xu6xNUKv6f7T0uOxob6wCICB3+pHQ6Ax9z6k1WkyacSQElQb2jibY238YgZSUVQiDwQBX+z54PW4EAj/0a/R5Xei01UFQqZGYPrnv8a6WvbB3NMEUk4jcaUdArdH1PSeoVMgqOhRGMQHdbfvgdXbA1m4Pw1UgUkZxcTFkWcbOnTuVLmUASZLQ2trKqXZEExiDJ5oQ0pIsWHX5sfD6ApBGuNzOaHMhh8uLOcWZuOyMQwEARUVFuOOOO7Bo0SI8//zzuPfee2Gz2UZ3ECIiIoU4Xb4BU9Lt7Q0AZJhiEmGyJAx4jc5gRmxSJgCgu21f3+MGUyziU7KhEmQ42vfB6/1hul3bvj2QpQDiUnL7BVmdtjoAQFxqHgTVwI+4giBATEjrqaujCYEAp7tT9EhOTkZCQgK+++47pUsZoKOjA36/nyOeiCYwNhenCaMoLwW3XHYM7nt6C7TqkWSuI+/x5HR5MbsoE7+58Kh+0/UMBgMuuugiHHLIIdi4cSNWr16N8847D4sXLw5RM3QiIqKx4fUHBowL9rp7pv3ojJYhX6c3xfRs6+m/FHxSViHammvhcjRj165SmM0maLVatOz5Cn63B2pTMjo6OqDV6qDVauF2dgEA9u3+Evt2f7nfWv1eNySONKYoIggCpk2bhu3bt+Pkk09Wupx+mpubAYAjnogmMI54ogllxpR0lFx1AgRBgNPlGdZrR7IyniTJcLi8WDgnDzddcjQ0QwRe06ZNw1133YXDDz8cmzdvxh/+8Ae0trYO61hERERK0qhVg/Z4Gqn4tHwYDCbIvm7EiAbExMRA8trhcXQgABU6nBKqqqpRUVGBnTt3orGxEd3d3fDKOgiGRKjNKdDFpMMYnwUxMQexqflIyChAYmYhDGI8v+ChqFNcXIyqqqqI6/PUO6KfI56IJi6OeKIJZ0pOEh743RnY9OY2fLZtNww6LVSqA3/47PliNPgPqS63Dwa9FjdcfDQOmZZ1wO2NRiMuueQSzJ07Fxs3bsSqVatwwQUX4Mgjj+SHYyIiinh63cCPlTqDGQDgdXUN+TqPs2dFO53e1O9xtVqDhPR8dLS3QXK1ILN4Omq7amA2m5GePxsZBbMRCPjh9frg8/mw19uI9kY7YpKyYUzIhc/ng9frgzfwo8VFAoBarYan3Y0O525s3LgRCQkJmDx5MmRZRlxcHOLj42GxWPjeS+POtGnTIMsyysvLMWfOHKXL6dPS0oLY2FjodLoDb0xEUYnBE01IMWYD1l1/Jl779//wxCufwe7ywmzQHuBDZnBT7bw+P3x+CYdMy8LV5xwOs3F4b7IzZszA3XffjRdeeAEbN27E1q1bcemllyIhYWBvDCIiokiRkxY/YBEPMT4dgABnVxucXa0wxST2e97rdqCzZS8AwJKQMWCfSZlFqCr9Cp1NVZCkI9C6rxJAz2p2ggBoNBpoNBoARkiTiuFqr4Pa3438/Py+9/RAQILP54PP5/3+/33wer3QCgHU1dXhu+++w7///W+4XK6+42o0GsTHx/f7X0JCQr8/x8XFfX9sosiQlJSElJQUlJaWRlTwZLPZONqJaILjuyVNaAtmTsKMyWl453/leOfTcnTZPdDr1NBo1MPajyz3TKnTaTUoyk3BL06cjSk5I5/HbjKZcPnll2Pu3Ll46qmnsHr1alxwwQVYuHAhv4ElIqKINLMwbcBCHHqjiPi0PLQ3WlGz62MUHHxiX0PwgN+Hmp0fQ5b8EONSIcanDtinGJ8KrUGE19WNveVfIOBzQ4xPg8EcO2DbuJRcmGKT4ehsRvWOD5FVdCi0OiPUahXUaj0MBj38Pg/aGqxISMrHcQuKcNkZh0IQBKSkpKCsrAytra1ob29He3s7Ojo60NbWhvb2dlRXV6O9vb1fk3MAiImJGRBQ/TSk4qq1NJYOOuigiGsw3tLSwuCJaIJj8EQTnmjS46xjZ+LMYw7C9ooGvPqf7ahv7oTPH4DH64dOq4ZOq4EkSVCr1ZBlGYGABJfHD7VagFajhtmow4mHF+GkhcWwmA0HPmiQZs2ahXvuuQfPPfccNmzY0Df6KS4uLmTHICIiCoVJGQlQq1Tw/+Tx3GkL4XZ0wtHRjO8+fBmWhHQIKgHdbY3we13QGS3Im7V4yP2aE3PQ3ViO5podAICkzMJBtxMEAVPmHI89X/8brfUVaG+sgsmSAJ1RhCRJ8Lq64OxuB2QJUxZkY1Zhet9r1Wp1X1g0FFmW4XQ6+4Kpn/7ParWivb0dXV39pxWWlZWhoGDwmolC7aCDDsI///lP2O12iKKodDkAekY8FRbyd4BoImPwRPQ9QRAwqygDs4oyIMsymlrtqKpvxbcV+7DP1oWGvQLUGhVSEy0QjXpML0hD8aQU5KTFwaDXhq0us9mMq666CvPmzcPTTz+N1atX46KLLsJhhx3G0U9ERBQx4ixGqFXCgOBJozOgeP5paK7ZgfZGK7pa90KWAb3JguSsIqTmzYRGqx9yvzHJk9DVWAYAUKm1iE/LH3JbncGM4vmno7W+Am0NVji72+DotEGt1UNnMCE5uxhxKbkwGI2YlDm8KeyCIMBsNsNsNiMra+jejT6fDx0dHX2B1J/+9CcEftxniiiMDjroIMiyjLKyMsydO1fpcuDz+dDe3o6UlBSlSyEiBTF4IhqEIAhIS7IgLcmCBbMmAQDuvXcbYmNFLFumzBK1Bx98MAoKCvDcc8/h0UcfxdatW7F06VLExMQoUg8REdGPCYKAMy+6Bjv3NA5oNK5Wa5CePxvp+bOHvV+90YzUaSehuLgoqO1VKjWSs6ciOXvqoM9Lsgy9VoOEGNOgz4+WVqtFcnJy39SirKwstLS0hOVYRD+VkpKC5OTkiAmeWltbIcsykpJG3oKCiMa/wdd2J6IBZFlWfISRxWLBsmXLcM0116C8vByrVq3C1q1bFa2JiIio1znHz0IgENqeRmq1Gn7/T8dRjZzD6cXJR05V/D2dKFymTp2KsrIypcsAgL7QlT2eiCY2Bk9EQQoEAlCpIuNXZt68ebjnnntQVFSE9evX45FHHoHdble6LCIimuDyMhOQGGeCJIUufNJoNAgE/AMal4+UQa/BMYdOCc3OiCLQ1KlTUVdXh+7ubqVLgc1mg0ql4urMRBNcZNxFE40DkiRFTPAE9Kykc80112DZsmXYsWMHVq5cic8//1zpsoiIaAITBAGnL54Bh9t74I2DpNFoIEkyJEka9b7cHh9mFWbAZNCFoDKiyFRcXAwAETHqyWazISEhAWr18FaMJqLoEjl30UQRLtKCJ6DnA/78+fNx9913Iz8/H3fddRcef/xxOBwOpUsjIqIJ6siD8xEfY4I/MPqgCOjpDwUAgcDoptvJsgwIAi445ZBQlEUUsRITE5GamhoxwROn2RERm4sTBSkSg6de8fHx+M1vfoPy8nI88MAD2LlzJy699FLMnj1b6dKIiGiC0WnVuP7CRVj31AfQhOBtU6PpGSnh9/uh0418pJLT7cN5J81BSsLYLjF///33j+nxiICeUU+lpaVKlwGbzYbs7GylyyAihUXmXTRRhIrkRqSCIGDx4sW45557kJOTgz//+c948skn4XQ6lS6NiIgmmKJJKThh4TQ43b5R70uj6R3xFBjxPrw+P7JS43DqUdNGXQ/ReDB16lTU19ejq6tL0TpaWlq4oh0RMXgiCpYkSeNifnpCQgJ++9vf4vLLL8fWrVuxevVq7NixQ+myiIhogrnm/KMRZzHC6xt5YASg7713pCvbSZIMSQZuXHp0RH+BRBRKkdDnye12o7u7m8ETETF4IgpWJK1qdyCCIGDRokW45557kJ6ejj/84Q/YtGkTXC6X0qUREdEEoddpsWbZCdCoVfD7Rx4+qVRqqFTCiIInWZbh9vpw09Kjx3yKHZGS4uPjkZaWpuh0u5aWFgBASkqKYjUQUWQYH3fRRBEgkns8DSUxMRE33XQTLrnkEnz66ae49dZbsWvXLqXLIiKiCSIlwYK1vz4RgqCCb4ThkyD0NBgf7lQ7SZLhcvtw7S+PxMzCjBEdm2g8mzp1qqIjnmw2GwBwxBMRMXgiCpYsy+NyiH5v76e7774bSUlJuO+++/DMM8/A7XYrXRoREU0AWalxuOfak6HXaeByjaznk0ajHtaIJ68vAK8vgJsuXYzDZuaO6JhE411xcTH27duHzs5ORY5vs9mg1WoRFxenyPGJKHIweCIK0ngc8fRjycnJuOWWW3DhhRfio48+wm233Yby8nKlyyIiogkgLcmC+284DTOLMuBweSFJ8rBer1ZrgpquJ8syHE4vkuPN+MNvT8XsosyRlkw07hUVFQFQrs9TS0sLEhMTx+UXt0QUWuP3LppojI334AnoGf10/PHH46677kJsbCzWrVuHv/71r/B6vUqXRkREUU406XHzpYtx/UVHAQAcTi9kObgASqNRIxDY/4gnj9cPjzeAn58wC7+//lSkJVlGXTPReBYfH4/09HTF+jw1NzezvxMRAWDwRBQ0SZKi5hub1NRUrFq1Cueddx62bNmC2267DXv27FG6LCIimgDmTc/GX353BhYfNgUygG6n54AjoDQazaBT7WRZht3pgc8XwPTJafjDb0/FWcceBJUqOt6viUaruLhYseCppaWF/Z2ICACDJ6KgSZLUt6RzNFCpVDjppJOwdu1amM1m3HXXXXjppZc4+omIiMJONOlxxVnz8ejqn2PZOYcjRjTA4w2g2+GG0z1wKl7vVDtZluH2+NBld8Pj9UOjVuEXJ8zG+lVn4XeXHcNRTkQ/MW3aNDQ2NqK9vX1MjyvLMmw2G5KTk8f0uEQUmTRKF0A0XozX5uIHkpGRgdWrV+Ptt9/Ga6+9hm3btuGKK65Afn6+0qXRBDWWv2e9xxoPv9usNTxYa3gEW6tep8HR86bg6HlT0NbpRM2+NnxbsQ9l1c3o6HYjEJAgSdL3U+18iLMYMTk7CbOLMpGflYDURMuor0c0XleiXr19nsrLyzF//vwxO67D4YDb7WbwREQAGDwRBS0aejwNRa1W45RTTsHs2bPxxBNP4M4778Qpp5yC008/HVqtVunyaAJR6gNqWlqaIscdCdYaHqw1PIZTa3o6ML14Mk4+ZuBz7733Hh544AFsvvfysL0vRet1pYktNjYWGRkZKCsrG9Pgqbm5GQA41Y6IADB4IgpaNAdPvTIzM3HbbbfhrbfewhtvvNE3+ik3l0tR09iw2WzDWjJ9tARBQFpaGhobG4NucqwU1hoerDU8Ql2r1+uF2+3G7t27ER8fH4IKfxCt11Wj0XC0CQHo6fO0c+fOMT1mS0sLAOW+UCKiyMLgiShIgUAg6oMnoOeD6umnn445c+Zgw4YNWLt2LU477TT87Gc/g0bDfzIo/JS48ZNlOeJvOHux1vBgreERqlrNZjMAoLu7G3FxcaPe32Am4nWliWHatGl4//330dbWhoSEhDE5ps1mg9Fo7PvdJaKJLfrvoolCRJblCRE89crJyUFJSQl+9rOf4f/+7/9wxx13oK6uTumyiIhoAhJFEQBgt9sVroRo/Ont81RWVjZmx+xtLM5+ZEQEMHgiCpokSRPuzVOj0eCss85CSUkJAoEA1qxZgzfeeAOBQEDp0oiIaAJh8EQ0cjExMcjKyhrT4KmlpYX9nYioz7DnzYTjxjsaV+iItnPi+fQET2q1OmKvQTj/jvLy8rB27Vr8/e9/x2uvvYZvvvkGV1xxBTIzM0N+rF78mSMiol5msxmCIDB4Ihqh4uJifPfdd2N2PJvNhlmzZo3Z8Ygosg0reAp3c7hoXKEj2s5pIp+PTqdDUlIS0tPTw1jR6IXz7+jaa6/FSSedhD//+c+45557cOGFF+KMM84I6xTEifwzR0REPQRBgNlsRnd3t9KlEI1LxcXF+M9//jMmfZ5kWeaIJyLqZ1jBU7hWGxpPq4kEK9rOaaKfjyzLcLvd6OjoQENDwxhUOHxj9XdksVhwyy234NVXX8Vjjz2Gd999F1dccUXIA7lo/5njakNERMMjiiIcDofSZRCNS8XFxQCA0tJSLFy4MKzHam9vh9/vR0pKSliPQ0Tjx7Cn2oXzBjAaV+iItnOaqOfTG7gKghDx5z8Wf0darRbnnXceDjnkEGzYsAG33XYbfv7zn+OEE04I+VSyifozR0RE/VksFo54Ihohi8WC7OxslJWVhT14am1tBQCOeCKiPmwuThQESZIAYEKtaheMgoIC3HnnnTj66KPx17/+FevWrUNTU5PSZRERURQym80c8UQ0CsXFxSgtLQ37cZqbmwEweCKiH/AumigIDJ6GptfrccEFF2DlypVob2/Hrbfeiv/85z8c1UNERCHFEU9EozN16lTYbDa0tLSE9TgtLS2IiYmBwWAI63GIaPzgXTRREHpDFAZPQysuLsadd96JI444As8++yzuu+++sH+wISKiiUMURa5qRzQKRUVFEAQh7KOebDYbRzsRUT+8iyYKAkc8BcdgMGDp0qW4+eab0dzcjFWrVmHLli0c/URERKPG4IlodERRRE5ODsrKysJ6HJvNxgVUiKgf3kUTBaE3eAp14+xoNX36dNx9991YsGABNm3ahD/+8Y9oa2tTuiwiIhrHRFGE0+nse08mouErLi4Oe/DU0tLCEU9E1A+DJ6IgcMTT8BmNRlx66aW48cYbUV9fj1WrVuHDDz/k6CciIhoRURQhyzIbjBONQnFxMVpaWsLWDsHv96O1tZUjnoioH95FEwWBwdPIHXTQQbjnnntwyCGHYOPGjXjggQfQ3t6udFlERDTOiKIIAGwwTjQKvX2edu3aFZb9t7W1QZZlBk9E1I9G6QKIxgM2Fx8dk8mEK664AvPmzcNTTz2FVatW4cILL8Thhx/O6YtERBQUi8UCABzxRCERjZ8/es9pf+cmiiJyc3NRXl6Oo446KuQ19I6kSklJiYprHMw1peHjdQ29SL+mDJ6IgsART6Exe/Zs3HPPPXjuuefwxBNP4Msvv8Qll1yC2NhYpUsjIqIIxxFPFCrRPhonLS1tv8/Pnz8fH3/8MdLS0kJ+k/rdd9/BaDRixowZ0Gii51bzQNeURobXNfQi9ZpGz78GRGEUCAQAMHgKBVEUcfXVV2Pu3LnYvHkzVq1ahYsvvhiHHXaY0qUREVEEM5vNAMCV7WjUbDYb/H6/0mWEnCAISEtLQ2Nj4357amZkZGDv3r3Yvn07UlJSQlpDeXk5jEYjbDZbSPerlGCvKQ0Pr2voKXVNNRpNUGE+gyeiIHDEU+jNnTsXRUVFeOaZZ/DII4/gyy+/xEUXXYSYmBilSyMiogik0WhgNBoZPFFIRPPNrizL+z2/goICCIKA0tLSkI/+am5uRkpKStRd3wNdUxoZXtfQi9RryrtooiAweAoPi8WC5cuXY/ny5di1axdWr16NrVu3Kl0WERFFKIvFwuCJaJRMJhMmTZqE0tLSkO/bZrMhKSkp5PslovGNI56IgsDm4uF16KGHoqioCJs3b8b69euxYMECXHTRRWE9ptMbgM3ugy8gQ5JlaFQqWAxqJJk1EduUj4hoojObzQyeiEKguLgYn332GWRZDunnHpvNhpkzZ4Zsf0QUHRg8EQWhd8QTA4nwiY2NxYoVK/DZZ5/h2WefxapVq3DTTTchOzs7JPt3+SR8Ud2FbXsdaHX44PRKCEgypO9HogoA1CoBWrUAi0GNSYl6LJoSh+x4fUiOT0REo2exWNhcnCgEpk6din/9619obm5GampqSPbp8XjQ1dXFEU9ENACDJ6IgcKrd2BAEAQsWLEBxcTE2bdqEO++8E/PmzcP5558Pk8k0on02dHrxr51tKG1ywuuXoNeo+gImrXrwILHb7cdXNT58WWNHvFmD44vjMTdHhFbNv38iIiWZzWa0tbUpXQbRuFdYWAiVSoXS0tKQBU8tLS0Aon/VQCIaPt5FEQWBwdPYio+Px/XXX4/f/OY3+Oqrr7Bq1Sps3759WPvw+CVs/rwRv3+3DjsaHNCoBJh0aqhVBx61JggC9FoVDFoVHJ4AXvjShrX/rMXuZtdIT4mIiEKAI56IQsNoNGLSpEkoKysL2T57V7Jj8EREP8W7aKIgMHgae4Ig4Nhjj8Xdd9+NrKws3H///Xjqqafgch04/KlodmLtP2uwrc4Bg1YFvWbkf28qQYBZp4LXL+HhD/fh2c+b4PFLI94fERGNnCiK7PFEFCLFxcUoLS0N2QpYLS0t0Gg0iI+PD8n+iCh68C6aKAhsLq6cxMRE3HDDDbjsssvw+eefY9WqVdixY8eQ279X1o71/21AICDDoA3d35daJcCoVeGrOjvue6cO3e5AyPZNRETBEUURDocjIpeKJhpvpk6dio6ODjQ2NoZkfy0tLUhMTGRPVCIagHfRREEIBHpCBgZPyhAEAUcddRTuvvtupKam4g9/+AM2b94Mt9vdb7t/7mzDG9+1waQVoApiSt1IGLUqdLj8+MN/6tDt9oflGERENDiLxYJAIBDU6Fci2r+CggKoVKqQTbez2WxsLE5Eg+JdNFEQOOIpMiQlJeF3v/sdLr74Ynz88ce49dZb+z4s/Xd3J/69qx1GrRD2b9r0GhXsngD+9H49XD5OuyMiGitmsxkAON2OKASMRiPy8vJCGjylpKSEZF9EFF14F00UBPZ4ihw/7v2UmJiIdevW4bHNL+H1bbYxCZ166TUqdDj9eGFr85gcj4iIeqbaAWCDcaIQKS4uxq5du0IyfZUjnohoKLyLJgoCRzxFnpSUFNxyyy345fkX4K0qwFq5B06nc0xrMGhV2F7vwK6GsT0uEdFEZbFYAAAOh0PhSoiiw7Rp09DV1YWGhoZR7cfpdMLpdHJFOyIaFO+iiYLQO+KJzRIjiyAIkLPmIrtgJmrf34R3HroB1btL+/6+xoJeK+C5L5rg5pQ7IqKw651qxxFPRKExZcoUqNVqlJaWjmo/NpsNADjiiYgGxeCJKAicaheZfAEJH1R0IsasR0xMDAwGA1pa21BeXjHib8Nd3e14/5Gb8emz64LaXiUIsHsD+GhP54iOR0REwdPr9dDpdBzxRBQiBoMB+fn5o+7z1Nzc03qAI56IaDC8iyYKAoOnyPRVrR0uvwRBECAA0Ot0mDI5H2q1Crt378a+fQ1jsuS2SavCf/d0cnlvIqIxIIoiRzwRhVBxcTHKyspG9TmmpaUFer2+bzosEdGP8S6aKAiBQAAAg6dI825Zzyp2P6Y3GFBQUID09AzYbM0oLy8Pe+8nQRBgdwew28blvYmIws1isXBVO6IQKi4uRldXF/bt2zfifdhsNiQnJ7MtBRENSqN0AUTjAZuLR4b6+nq8/vrrKC0tRbfTjRqnAVnT5iF75pH9thMEAampKdBKbpR+sQVVH7wIDXzQCBLUWj0sSRnImHYYUqfM6ve6Xe+/jMayLwEA7u+n3P3YMb/+PQDA7/Wgac82tNWWw97aAI+zG7Isw/rPFFx8yhE4+eSTYTKZwngliIgmLrPZzOCJKIQKCgqg0WhQWlqKzMzMEe2jpaWF/Z2IaEgMnoiCwKl2yquoqMAf//hHeDwepKSkIDazAHsrmlD5+dvobKwd9DVNZZ/DXb8Ter0In2wCjGbotALa6yvRvncPuppqUbDw1L7t49ImIeD1wGb9DmqtDsmTZw66X3vrPpR/8Cq0RhGmuCRYkrPg97jQ0VqPN998E1988QVuv/32vmW/iYgodDjVjii09Hp9X5+n4447bkT7sNlsmD59eogrI6JoweCJKAgMnpTl9Xrx6KOPwuPx4MQTT8R5552H57fa4C6yw9fZhG/eeAI+18BGs2lFh2DSwcfAGJsIl8uFmtpaeNxupBm1qP/sddR9+xFSp8xCTGoOACBj2qGIzy6AzfodtAYzph3zi0HrMVjiMfu0KxCfOaXfkHKP24Mp7f/F5//7FK+++iqWLl0angtCRDSBiaKIxsZGpcsgiirFxcXYsmULZFke9nQ5WZbR0tLCxuJENCTeRRMFgcGTsr788ku0tbUhISEBv/jFL6BSqVDb7oFOLUBMTEfuwccM+rr4jHwYYxMBAEajEUWFhUhJSUWH0wdNajECkoRm63fDrscgxiEhq2DABzNJrcWxp58HtVqNL7/8cvgnSkREB8QeT0ShN3XqVHR3d6O+vn7Yr+3s7ITX62XwRERD4ognoiAweFJW7xK/hx12GDSann+23D6pL/hJLzoEez55c9DXBnwetNSUwd6yDz63E5IUgOD1ortxLxx2O5r3VmPyCL7dA4COhmp0NlTBbe9AwO+D2xfAC1UxUKvV6OrqgsPhgNlsHuFZExHRYERRZPBEFGJTpkyBRqPBrl27kJWVNazXtrS0AACDJyIaEoMnoiD0NhfnSh3KaG9vB4B+TSulH634qzWYoNEb4ff0X1WupXoXdr3/MvzugavaCQB0ej3aW5phs9mQkpISdD1elx3fvf0MOhuq+z3ul2R8bdMj3tTzT6vL5WLwREQUYmazGV6vFx6PB3q9XulyiKKCTqfDlClTUF5ejhNOOGFYr7XZbADA5uJENCQGT0RBkKSe0TUMniKHIACQh37ebe/Ejneeh+T3IWfO0UgrnAODJR5qrR6CIMBWXYbPX30YKkGAWq0e1rHLtryCzoZqxKTlIn/eCRCT0qHRGeDwCbh4fiqe/9Ot6OjoGM3pERHRECwWCwDA4XAweCIKoaKiIrz33nvD7vNks9kgiiKMRmMYqyOi8YzzhoiCIEnSsMMJCp24uDgAPwzlBgDVjz4P+TyuAaOdWmt2QfL7kJw/A1MWnAwxsSccEgQBLpcbe3Z9C7/fj/j4eCQmJgZdS8DnQUttGSAImHXKZUjILoDOKEKl1kAGoAr40NnZOZrTJSKi/ehdMZQr2xGF1tSpU2G327F3795hvY6NxYnoQBg8EQUhEAiwv5OCiouLAQBffPEF/H4/AEDUqyF9PwWysfyrAa/xfT+9zmCJ7/d4W1sbKirKYW/YDdFsHvBtuUrVEzDKsjRoLX6vB5AkaHQGaPX9v9nTa1So2fVV39RMIiIKPQZPROExefJkaLValJaWDut1NpuN0+yIaL94J00UhJEsLUuhM2/ePMTHx6O1tRWvvPIKZFnGlGQjPH4Z9tZGVH/1/oDXmONTAQDNld/B4+iCJEmoq6tDTU01PPU7ofJ0DRomag0mCGo1PM7uvvDqx3RGERpDTz+pxvKv+z3ntNXiP2+9HqKzJiKiwfQGTw6HQ+FKiKKLTqfD5MmThx08ccQTER0IezwRBaG3xxMpQ6fT4eqrr8b999+Pf/3rX/j6669hTMzEd6WNcDRXISl3Grpte+Hubu97TeKkqbCkZKG7eS8+ee5eyMZ4SLIAtc8OIeDBpIMXo+brLQOOpVJrkDRpGmyV3+GLlx9AbPokqDVaAMDUxedAUKkw6ZDjsOeTN7HrvRexd8enMMQkwN3dDoetDktPPwYVFRX9pgUSEVHoGI1GqNVqrmxHFAZTp07FO++8E/SXrpIkobW1lSOeiGi/OOKJKAiSJHGqncKKi4tRUlKCuXPnwuFwoKZsO/yuLuTPOwHTTzh/wPYqlRoHn34VUqYugMsnw2mrg9bXjaTMPBxy5nIkZBcOfayjzkbG9MMAAbBZv0ND6VY0lG7tez5n1pE4aMlSxKZNgrPDhtbqXfD7Azjm1F/gyiuvDMv5ExFRD0EQYDabGTwRhUFxcTEcDgdqa2uD2r6trQ2BQIAjnohovzjiiSgIDJ4iQ1ZWFlasWNH35wfer8feDg9UKgGHX7Sy37ayLKPJ1gp/fB6mnTIHOTnZAxrEH/Pr3w96HK3BhOKjzt5vLcl505GcN73vz26/hGtPyIYgCLj//vuHe2pERDQMoiiyxxNRGEyePBk6nQ5lZWXIzc094PY2mw0AGDwR0X7xTpooCAyeItMpM+LhlwY28vb5fKisrERzsw0ZGZnIy5sU1lUJA5KMVIsOKRZd2I5BREQ/iImJ4YgnojDQarXD6vPUGzwNZ4VgIpp4eCdNFARZlhk8RaApyUZYDD+sbgcAdrsd5eXl8Hg8KCiYgpSU8H8D5/ZLOHFqXNiPQ0REPcxmM5uLE4XJ1KlTUV5eDkkafIXfH2tpaUFcXBx0On75RkRD4500URA44ikyCYKA8w5OhsffEzw1NTVjz549MBgMKCoqgtlsDnsNvoCEjFg9ZmeJYT8WERH14FQ7ovCZOnUqnE5nUH2ebDYbp9kR0QHxTpooCAyeItf0DDOKkrTYba1BQ8M+pKamYvLkKdBowt/CTpZlyLKAKxamcdVDIqIxJIoip9oRhUleXh50Ol1Q0+0YPBFRMHgnTRQEBk+Rq6qqCuX/eBhuRxcm5eUjPT0dY5UBuXwylkyPR6JZOzYHJCIiAIDFYmHwRBQmWq0WBQUFKCsrO+C2DJ6IKBi8kyYKgiRJHNESYWRZxpYtW3DXXXchTjTinl/Og9Es9uv3FE4un4SDMkw4tihuTI5HREQ/MJvNcLlc8Pv9SpdCFJWKi4tRXl6OQCAw5DZerxcdHR1ISkoaw8qIaDxi8EQUBI54iixutxtPPPEENm3ahEWLFmH16tWYOTkdyxZlwBfoWWUunFw+CUUpRly6gFPsiIiUIIo9ffU46okoPKZOnQqXy4Wampoht2ltbQUAjngiogPinTRREBg8RY6Ghgbceeed+PLLL3H11Vdj6dKl0Gp7proVJBtx3eIMCELPSnOhJskyXD4Jc7LNuOrIdKhVDJ2IiJRgsVgAgCvbEYVJb5+n/U23s9lsABg8EdGBhb/7LlEUYPAUGb744gs8+eSTSEhIwJo1a5CZmTlgm9wEA25fkotnPm9GeZMTeq0AVQhGJbl9EvQaFS5bkIKZmVzBjohISb0jnriyHVF4qNVqpGUX4N8f78Tudguq6lvhcHkRCEiQZBkqQUB7WxsaujPw13/vwqyiTEzJSUJGcgxHgxPRAAyeiILA4ElZfr8fL774It59913Mnz8fl156KQwGw5Dbm/VqLFuUjm/q7PjbNzY4PBL0GmHYI5RkWYbbL0ElqDAt3YQL5qXApFOP9nSIiGiUGDwRhUe304N3/1eOf39ajpq9ejTbWtGGWuh1GgiCALVahd5PQl6fFyqNHl/u2ouPt1VDp9VANOmwZGExjj2sAKJJr+i5EFHkYPBEFARZlhk8KaS1tRXr169HTU0NLrzwQhx33HFBf5M2J1vEQZlm7Kh34O3Sdti6ffAEJBg0AjQqYdD9SLIMt0+CLAsw6VQ4YnIsji2KR7yJ/1wSEUUKs9kMQRA41Y4oRJrb7Hj671+g1NoEty8A0ahFQlwMWpqbEPD7IOgHruDr9Xqh1+ug12mg1/V8TvL7A3jx7W/w2nvfYcaUNFx6+jwkxXOkONFExzspoiBwxJMyvvnmG9x5553QarVYuXIlpkyZMux9aFQCZmeLmJ0twmb3YXezE2WNLuzt8MDplRCQZUAGBAHQaVRIMmlRkGxAUaoJk5OM0Kg5XJyIKNKoVCqYzWY2FycaJVmW8Y8Pd+Fv73wLANDrNNBqe8Y0mUwmqNUq2O3dMJtNA17r8XhhNBr7PSYIQt9Ip+27G/DbP76B85bMwZKFxZyCRzSBMXgiCgKDp7ElyzL+/ve/4+2330ZBQQGuuuqqvmkVo5EsapEsxuLw/Nh+x5KBkPSBIiKiscPgiWh0mtvsuP+ZD1Db0A6zUTcgGBIEAWazCLvdgdTUga/3ej2IjY0d+MT3DDoNZFnGc29+hY++qsINFy/i6CeiCYrBE1EQGDyNne7ubjz++OPYsWMHLrvsMixatCisxxMEAYyciIjGH1EU2eOJaIR2WZtw31PvA5D324tJFM1oamqCLMv9gqlAIAC/PwC9Xrff4wiCALNJh/rmDtzwpzex+lfHoTCXq+ARTTS8kyYKgiRJHB48Bvbs2YPbb78d1dXVuOmmm3DeeefxuhMR0aAsFgtHPBGNwLbyfbhnw3+gVgvQafc/DkEULQgEJDidzn6Pe71eAIBOt//gqZdep4FaJeCOx9/Bjj2NIyuciMYtBk9EQeCIp/CSZRnvvPMO1q1bh4SEBNxxxx2YMWOG0mUREVEEE0WRzcWJhqm8qhl/3LTl+yDowJ9tTSbj932e+oe8ww2eAECtUkGv1eC+p9/HntqW4RVOROMa76SJgsDgKXxcLhceffRRPP/88zj22GOxcuVKJCQkKF0WERFFOE61Ixqejm4X1j31HnQ6NVSq4EaUC4IAURQHBE8ejxcqlQoazcDV7vZHpRKgVatwz5PvocvuHtZriWj84p00URAYPIVHfX091qxZg2+//RbXXHMNzj//fGg0bD1HREQHxubiRMGTZRl/fvZDBAJSUCOdfqwneHJAluW+x7xeD3Q6HUbSEUGtVsHnC+ChFz7ut08iil68kyYKgizLDJ5C7JNPPsGaNWug1WqxZs0azJs3T+mSiIhoHLFYLHA4HLxxJQrCB19WYnetDQb98EYoAT3BkyT17/Pk9XoP2Fh8fwwGDXbuacSn26pHvA8iGj84tIAoCD9dyYNGzuv14q9//Su2bNmChQsXYunSpdDrh15NhYiIaDCiKEKWZTgcDogil2gnGkpHtwub3/gSJsPwQycAMBqNUKvV6O62w2w2A+j5PDfa3zujUYsnX/8cMwvTYTEbRrUvIopsHMJBFARJkqBWq5UuY9xraWnB3XffjY8//hiXXnoprrjiCoZOREQ0Ir03vezzRLR/r7/3Hbw+/4i/RO3p8/TD1FZZ7gmehtNYfDAqQYDb48cbH+wc1X6IKPIxeCIKQiAQ4FS7Udq2bRtuv/12OBwO3HrrrTj66KM5ioyIiEbMYrEAAFe2I9qP66//Lf5y32qo5dE18u5dRVKSZAQCfgQC0qiDJwAwG7X44MtK+APSqPdFRJGLU+2IgsDm4iMXCATw2muv4R//+AfmzJmDK664om+YNhER0Uj1vpewwTjR0GztdgQC0qi/7Ptxn6fefel0ox+1LggCHE4vvtpVh8MOyh31/ogoMjF4IgoCezyNTGdnJx599FGUlZXhF7/4BU4++WReRyIiConeEU+cakc0tJp97cNexW4wvX2e7PZu6PU9/ZhG01z8xwx6DV77z3cMnoiiGIMnoiBwxNPwlZeX45FHHoEkSbjllltQXFysdElERBRFNBoN9Ho9RzwRDcHj9cPt9SMU3/n9uM+TIAhQq9Uh63+qVqvQ3GaH1xeATsueqkTRiMETURAYPAVPlmW8/fbbePnll1FYWIirr74a8fHxSpdFRERRyGKxMHgiGkJdYwckSR70uUDAj+aaHWhvtMLt6IIsy9CbLIhPyUVq3kxotD9Mo+tsqcPuL9+GrNJDlzobOp1uwGgnWZLw7Qd/hd/rwrTDz4IpJrHvOSngR3PtLrQ3VcFt74Qk+aEziohLyUV63ixodAb4/AHUN3ciLzMhPBeDiBTF4IkoCAyeguN0OrFhwwZ8/fXXOOWUU3D22WdzNUAiIgqb3obHRDRQWXUzZAwMnvxeNyq+/CecXa1Qa3SIScwABBXs7Q1osG5Da0Mlig49BXpjz3TWmMQsaA0i3I4ueB3tcOi0MBgM/fbZ2VIHv9cFU0xSv9DJ63Zg91dvw9XdBrXWAHNsElQaLZxdrWiq2o72xioUHXoKfAEddtfYGDwRRSkGT0RBYPB0YDU1NXj44YfR3d2N6667DgcffLDSJRERUZQTRZE9noiGsL1iHzQqFXw/ebxm1ydwdrXCHJeCgoNPhEbXEyIF/D5UbnsPXS11qPp2C4rnnwagZ5pdUsYU7LNug8/RCKdeRExMbL99ttRXAAASMwv7HpNlGdZt78HV3YakrCJkF8+HWtMzUkqWJOyt2Iqm6u2o/u5D5M85Cd9W7MMJhxeF6WoQkZJ4J00UBDYX378PP/wQd955JwwGA9auXcvQiYiIxgSn2hENraXdAUHV//Orx2VHe2MVAAG504/sC50AQK3RYtKMIyGoNLB3NMHe3tT3XGJWIQQAAWcrXE4XdLofptr5vC502uogqNRITJ/c93hXy17YO5pgiklE7rQj+kInABBUKmQVHQqjmIDutn3wuTrQ1MrfZaJoxeCJKAiSJHHK2CA8Hg+efPJJbNy4EQsXLsStt96KlJQUpcsiIqIJQhRFBk9EQ5DkgdPs7O0NAGSYYhJhsgyc1qYzmBGblAkA6G7b1/e4wRQLMSEdAiR47U3QaH6YONO2bw9kKYC4lNx+QVanrQ4AEJeaB2GQmQOCIEBMSAMAODqbIUnSyE6UiCIep9oRBSEQCHCq3U80NjZi/fr1aGpqwq9+9SsceeSRSpdEREQTDKfaEQ1NHiR48rp7eqLpvu/fNBi9KaZnW4+z3+NJmYVoa6qF7G5FY2MjRNEMrVbbN80u6UfT7ADA4+oCAOzb/SX27f5yv7X6ve5BgzIiig4MnoiCwB5P/W3duhUbN25ETEwMbr/9dmRnZytdEhERTUBmsxkOh4NT4okGoQrx70R8Wj4gqABfN7xuB8rLy5GWFANXdxu0BjNikrL6bd+bI4nxaX1h1lAMYjzU/KxNFLUYPBEFgR9oe/j9fvztb3/D22+/jXnz5uHyyy+H0WhUuiwiIpqgLBYL/H4/3G4334+IfkKjUf+Q/nxPZzADALzfj0YajMfZM4pQpzf1e1yt1kAnpsLnqUWCWYZbMKB8+2eA14u0/NkDPiv3HisuJRdpeTP3W6sky9BqGDwRRSv+dhMFgSOegLa2Ntx777149913cf7552P58uX8kE9ERIoSRREA4HA4FK6EKPLkZyUi8JPgSYxPByDA2dUGZ1frgNd43Q50tuwFAFgSMvo9J8uA2pQMtUaNjkYr8vMnQfC2w+1ywy2bBvRoik3uGRHf3lg16LS/H/N4/SjISR7uKRLRODGx76SJgjTRg6edO3eipKQELS0tWLlyJU488USOACMiIsX1Bk9dXUOP3iCaqGYVZSAQ6B/46I0i4tPyAMio2fUx/F5333MBvw81Oz+GLPkhxqVCjE/t91qv1wtoRRjFeHicnaiv2AqdRoXEtBw43AFUVOyGx+Pp2z4uJRem2GQ4OptRveND+LyuATX6fR4015bC6/VhZmHGgOeJKDpwqh1RECZq8CTLMt5880289tprmDZtGq6++mrExOx/jj4REdFYsVh6GiRzxBPRQPmZiVCrBQT8/R/PnbYQbkcnHB3N+O7Dl2FJSIegEtDd1gi/1wWd0YK8WYsH7M/p7Pk9S82ZisbKr9BcswMAkDV5JsyJuaiqqkJ5eQVyc3MRGxsDQRAwZc7x2PP1v9FaX4H2xiqYLAnQGUVIkgSvqwvO7nZAljD9qDzkZcaH/ZoQkTIYPBEFYSIGT3a7HU888QS2b9+O0047DWecccaEuwZERBTZzOaeHjJ2u13hSogiT2qiCJUgIPCTxzU6A4rnn4bmmh1ob7Siq3UvZBnQmyxIzipCat5MaLT6AftzOp3Q63VIyc5Fo/UbQJagUmsRn5YPtUaLoqJC1NTUwGq1Ii0tDWlpadAZzCiefzpa6yvQ1mCFs7sNjk4b1Fo9dAYTkrOLEZeSC4PRgMQ489hcGCIacwyeiIIw0ZqLW61WPPzww3C73fjtb3+LmTP33xCSiIhICXq9HlqtFt3d3UqXQhRxBEHAeZf+Bt+U10Ov63/bp1ZrkJ4/G+n5s4Pen8PhgMlkhs5gxtwTLx/wvFqtRl5ePpqamtDY2ACXy4mcnFxoNGokZ09FcvbUQffr8vgwqzBjQn3WJppoOHyBKAgTZcSTLMt47733cPfddyMmJgZ33HEHQyciIopYgiDAbDZzxBPREH5+/MwDNvYOhizLcLlcMJtN+91OEIC0tFTk50+Gw+FARUU5XK6BvZ1+6uxjDxp1jUQUuTjiiSgIkiRBrVYrXUZYud1ubNq0Cf/73/9w3HHH4bzzzoNWq1W6LCIiov2yWCwMnoiGkJMej+R4EZ12F9Sj+BLV5XJBkmSYTPsPnnrFxFhQWFiE6uoqVFTsRnZ2FhISEgZsFwhISE+KQUZK7IhrI6LIF/1DOIhCIBAIRPWIp/r6eqxduxZff/01li1bhosuuoihExERjQuiKLK5ONF+nHnMDLjcvlHtw+FwQKUSYDQag36NXq9DQUEB4uLiUFNTi7179w4YfeV0+3DWsRxdTxTtovdOmiiEornH02effYa1a9cCAEpKSjB//nyFKyIiIgqeKIrs8US0H0fMyUdmSiy8vp+2GQ+e0+mEwWAc9hexKpUKOTk5yM7OQmtrK/bs2QOfrycE83j9mJSRgPkzc0ZcFxGNDwyeiIIQjT2efD4fnn32WTz66KM4+OCDUVJSgszMTKXLIiIiGhZRFDnVjmg/VCoBNy5dDEmSRtzvyeFwHrC/01AEAUhKSsKUKVPg9XpRXl7eFxbfcPFRUfvlLhH9ILrupInCJNqCp5aWFtxzzz344IMPcPHFF+Oqq66CwWBQuiwiIqJhY/BEdGBpSRacfdxMOEcw5c7v98Pj8QTd32koZrMZhYVF0OsNqNhThanpApLizaPaJxGND8NuLh6ORLp3n9GUdkfbOU308+ltLh7J5x/sOW3fvh2PPfYYDAYDbr31VuTn549FecM20X/miIgoOGwuThSc046ega927UXVvjYY9cH38nQ6nQB6gqPR0mo1yMzOQYa7HaVfvI3HNZ245JJL+AUoUZQbVvCUnJwcrjoAAGlpaWHdvxKi7Zwm4vnIsgyDwYCkpCSkp6ePQVWjM9Q5SZKEF154AS+99BIOOeQQ/Pa3v4XFYhnj6oZvIv7MERFR8MxmMzweD7xeL3Q6ndLlEEUslUrA6iuOw+qH/oWm1m4YDcGFTw6HExqNGjqdftQ1uNw+ZKXE4Y7l52HbN19h48aN2Lt3L1asWIHU1NRR75+IItOwgiebzQa/3x/yIgRBQFpaGhobG0c87zjSRNs5TeTz8fv9cLvdaG9vR0NDwxhVOHz7O6euri489thj2LlzJ84++2yceuqpsNvtEf0NcbT/zGk0mrCH+UREE0Hvlyh2u33Q5dqJ6AcGvRZ3LD8Jax79N/bZumAKInxyOp0wmcwY7aBtp9uHrNRYlFx9AvQ6DQ477DBkZWXhL3/5C9asWYOrrroKs2fPHt1BiCgiDXuqXThvAGVZjoobzB+LtnOaiOcTCPSsACIIwrg495+e0+7du/Hwww8jEAjgpptuwvTp0/u2Gw8m4s8cEREFr3f6j8PhYPBEFASzUYe7rlmC+556H2XVzTAZtEO2ApBlwOl0jOrLMlmW4XT7MH1yGm685GjotT/cgmZmZmLNmjV44okn8Oc//xmnn346zjjjjKjqrUpEIwieiCYaSZIAYNy9AcqyjHfeeQcvvfQS8vPz8etf/5ofyImIKOr0jnjqXSWLiA5Mr9PgtquOx5ate/DMm18iEJBgGKTvk9frgd8fGHFjcZfHB41ahavOXoBFc/MHDbhMJhOuu+46vPnmm3jttddQVVWFq666CqIojuiYRBR5GDwRHUDv6JTxFDy5XC5s3LgRW7duxZIlS/Dzn/8cGg1/3YmIKPr8eKodEQVPEAQcc2gB5hRn4oHnPsLuWhu0GjV0WnXfNg6HAwCGHTx5fX74/BKKJiXjugsWIc5iPGAtp512GvLz8/Hoo49izZo1WLFiBXJzc4d/YkQUcXgnSnQA423EU11dHR588EF0dXXhmmuuwbx585QuiYiIKGyMRiNUKhWDJ6IRio8xYc2yE1BRY8Pf3vkWu2tb4PMFYDJq4XQ6odfrg/oCU5ZlOFxe6LQaFOWm4JwTZ2FKdtKwVvSdMWMG1q5diwcffBB33XUXli5diiOOOGI0p0dEEYDBE9EB9AZPw3nTVMp7772HP/3pT0hNTcWaNWu4ghoREUU9QRAgiiKDJ6JREAQBRZNScOuVx6Oz24V/fVKGz7bXwG53QGcworPbDb1ODZVKBUHo6f0kSRK8vgB0Wg20GhViRANOWFCEJUcUw2I2jLiWpKQk3Hrrrdi8eTM2bNiAyspKXHDBBRy9TzSO8beX6ADGw4gnr9eL559/Hp999hnmz5+Piy66iEtKExHRhGE2mxk8EYVIrMWI806ag7OOmY6rrn4TJ5x8JtJyilFe0wy3x/992KSGQa9B0aQUTMlOQnpyDDTq0H1W1ul0+NWvfoXJkyfj+eefR21tLZYvX85+pUTjFIMnogOI9OCpubkZ69evR0NDA37zm99gxowZXDWNiIgmFIvFwubiRCFWW1sLKeDHYQdPQ35+PhYfOmVMjy8IAo455hjk5ORg/fr1KCkpwfLly1FcXDymdRDR6DF4IjqASG4u/vXXX2PDhg2wWCy47bbbMH/+fDQ0NChdFhER0Zgym819TZCJgjEeWigMV+85hercKisrodVqkZubq+j1KigowB133IFHHnkE9913H8477zyceOKJY1JTqK8p9eB1Db1Iv6YMnogOIBJHPAUCAbz66qt46623cPDBB+OKK66A2WxWuiwiIiJFWCwW7N27V+kyaJxITk5WuoSwClWPz5aWFkyfPh3Z2dkh2d9opKen489//jM2b96M1157DS0tLVixYgUMhpH3khoO9k0ND17X0IvUa8rgiegAIi14am9vx2OPPYaKigqcd955OOmkkyI22SYiIhoLoihyxBMFzWazwe/3K11GyAmCgLS0NDQ2Noak7cI333yDgw8+OKJG0y9ZsgQJCQnYuHEjdu3ahWuvvTasN9qhvqbUg9c19JS6phqNJqgwn8ET0QFEUvBUVlaGhx9+GCqVCrfccguKioqULomIiEhxoiiyxxMNSzTf7MqyPOrz6+rqgs1mQ35+fsRdq0MPPRSZmZl48MEHUVJSgquuugpz5swJ6zFDcU1pIF7X0IvUa6r8nTRRhIuE4EmWZfzjH//Avffei8zMTKxdu5ahExER0fcsFgucTicCgYDSpRBFBavVCgCYPHmywpUMLjMzEyUlJZg6dSoeeOABvPrqq32f2Yko8nDEE9EBKN1c3OFwYMOGDfjmm29w6qmn4swzz4RarVakFiIiokjU2+fQ4XAgJiZG4WqIxr/KykrExMQgKSlJ6VKGZDKZcO211+If//gHXn31VVRVVeHqq6+GKIpKl0ZEP8ERT0QH0PvtiRJ9lKqrq1FSUoLy8nJcf/31+PnPf87QiYiI6CcsFgsAcLodUYhUVlYiPz8/4vuICoKAU089FTfeeCOqqqpQUlKCmpoapcsiop9g8ER0AEpMtZNlGVu2bMFdd90Fs9mMO+64A7Nnzx6z4xMREY0nPx7xRESjI8syrFZrxE6zG8yMGTOwdu1aiKKIu+66Cx999JHSJRHRj3CqHdEgfP4A6ps70dbpRE3NPrR7jdhpbYFTMiIrJRaxFmPYju3xeLB582Z88sknWLx4Mc4//3zodLqwHY+IiGi844gnotDZt28fXC4X8vPzlS5lWJKSkrB69Wo8++yzePLJJ2G1WnHBBRdAo+EtL5HS+FtIhJ6gaeuOOnz6bTVqG9rR7fDA6w/A5w/A5XKhzpGEJ/7+DcymMmg1ahj1WiTFmzFjSjqOO6wAyQmhmUve0NCA9evXo7m5GVdeeSUWLlwYkv0SERFFM454Igodq9UKQRDGXfAEADqdDpdddhny8/Px3HPPoaamBtdccw0SEhKULo1oQmPwRBNaa6cDb3ywEx9/XQW7ywO9VgOtRgXN9/8DtNAIAWhUEmJFAwwGPQBAkmU0tnTDurcV//yoFDnpcTj7+FmYXZgBlWpkc+G3bt2KJ598EnFxcSgpKUFWVlYIz5SIiCh6qdVqmEwmjngiCoHKykqkp6fDZDIpXcqICIKAxYsXIycnB+vXr0dJSQmWL1+O4uJipUsjmrAYPNGEZHd6cPtDb+DTryvgD0gwGbSwmPSDbtu7qh3QP1BSqQSI379mn60Lf9i0BbGiAVf9fAHmFGcGXYvf78fLL7+Mf//73zj00ENx2WWXwWgM31Q+IiKiaGSxWGC325Uug2jcs1qt43K0009NnjwZa9euxSOPPIL77rsP5557Lk488cSIb5hOFI0YPNGEs3VnHR57+VPIUEGv02DwuOkHvbnT/t6jNGoVRKMOPl8Af9i0BXOnZ+PqcxbAZNh/b6a2tjY8/PDDqK6uxgUXXIDjjz+eb4Y04Y3l70DvscbD7x1rDQ/WGh5K1CqKIux2+7CPyetK9AOPx4O6ujocffTRSpcSEjExMbjpppvwyiuv4IUXXoDVasVll10Gg8GgdGlEEwqDJ5owPF4//vL8R9hWXg+jXguzSQ+32x3EKwcf8TQYlUqA2ajDVzvrcJ21CdddcCRmTEkfdNsdO3bgscceg1arxcqVKzFlypTgT4YoSiUnJyty3LS0NEWOOxKsNTxYa3iMZa3p6ekQBAHp6YO/7x4IrysRUF1dDUmSxtWKdgeiVqtx7rnnIj8/Hxs2bMAdd9yBFStWjPjfCiIaPgZPNCE4XF6sfezfqG/ugtk4shXihvPlosmogyTJWPfke7jml0dgwaxJfc/Jsow33ngDr7/+OqZPn46rr766bzUeoonOZrPB7/eP2fEEQUBaWhoaGxt/NK02MrHW8GCt4aFErbIso6GhAQ0NDcN6XbReV41Go1iYT+OX1WqFTqeLyl6j8+bNQ0ZGBh588EGsXbsWV155JQ4++GClyyKaEBg8UdRzur24df2/YGuzw2TQDvv1Q/V4OhCVSoDRoMVDL3wMSZaxcHYeuru78fjjj2PHjh0444wzcNppp0GlUg27JqJopsSNnyzLEX/D2Yu1hgdrDY+xrFUURVit1hEfj9eVqKexeF5eHtRqtdKlhEVmZibWrFmDDRs24C9/+QtOPfVUnHXWWfw8ThRmDJ4oqnl9Aax97B3Y2uwwjiB0AoLr8TQUQRBgMmjx8IufoK2lCe+/9RK8Xi9uvPFGzJgxY0T1EBER0UCiKMLhcChdBtG4VllZicMOO0zpMsLKaDRixYoVeOutt/DKK6+gqqoKy5YtgyiKSpdGFLUY7VJUe+bNrahr7Bhx6NSjJ3kaeSNPAY7uDtzx8JswW+Jx5513MnQiIiIKsd7m4hwJRDQy7e3taGtri6r+TkMRBAE/+9nPcOONN6K6uholJSWorq5WuiyiqMXgiaJWZV0L3v9iz4h7OvUazQfYQCCAmpoa1NfvQ2x8AnSZ85GQkDCqeoiIiGggURQhSRJcLpfSpRCNS1arFQAmRPDUa8aMGbjjjjtgsVhw11134cMPP1S6JKKoxOCJopLXF8D9z/wXel3oZpMOd8ST2+1GRUUFuro6kZc3CXm52Sirasan26pDVhMRERH16J0m093drXAlRONTZWUl4uLiEB8fr3QpYyoxMRGrVq3C4Ycfjo0bN2LTpk3w+XxKl0UUVRg8UVT62zvb0NHtgkY9+h/xkTQXb2trR3l5BQRBQGFhEeLi4gAARoMWG1//HB7v2K3aRURENBH0rhDL4IloZKxWK/Lz80fRXmL80ul0uOyyy3DppZfio48+wrp169DW1qZ0WURRg8ETRZ3rf/tb/OGuW6CW3SHZ33Cai0uSjLq6vaipqUFcXCwKCgphMOj7nlcJApwuLz762hqS2oiIiKiH2WwGADYYJxoBSZJgtVon1DS7wRx99NFYtWoV2tvbUVJSgl27dildElFUYPBEUcfW5kAgIIXw25rgmot7vV7s3r0bbW2tyM7ORk5OLtSDjLgyGXV444OdbH5KREQUQpxqRzRy9fX18Hg8Ez54Anp6XK1duxaZmZn4/e9/j9dff52f24lGicETRZ2afW1Qq0L3ox3MG01nZxfKy8vh9/tRUFCApKTEIUdIqVQCWjsdqKrn8F0iIqJQ0el00Ov1HPFENAJWqxWCICAvL0/pUiJCTEwMbrrpJixZsgRPPfUUHn74YS5cQDQKDJ4oqjS32eHy+IKaFjd8A3cqyzIaGhpgtVphNptRVFQEk8l0wD2pVSq8/v534SiSiIhowhJFkSOeiEagsrISWVlZMBgMSpcSMdRqNc4991ysXLkS27dvxx133IGGhgalyyIal0K35BdRBCivbkZAGnyEUiDgR3PNDrQ3WuF2dEGlEqDRmxGfkovUvJnQaH/oxdTZUofdX74NgzkOaVOPgSAM7PHk9Xjx+dsb4fU4UTD3Z8jOy+/bRgr40Vy7C+1NVXDbOyFJfuiMIuJScpGeNwt6nYEjnoiIiEJMFEXY7XalyyAad3obi9NAhx9+OEpKSvDggw9izZo1uOKKKzB37lylyyIaVzjiiaLKtxX7oFYPHJnk97pR/vkbqK/YCo+zGzGJGYhPyYXf60KDdRt2ffo6PK4fviGNScyC1iDC7eiAq7tlQH8nu92B777+BD6vC4kp2cjJL+oLnbxuB0o/+z/sLf8cbkcXzLFJiE3OhixJaKrajl3/+zs8rm7YnR54fFzdjoiIKFQYPBENn9vtxt69e9nfaT8yMzNRUlKCGTNm4KGHHsLf/vY3SJKkdFlE4wZHPFFUqaxrhVoQEPjJ4zW7PoGzqxXmuBQUHHwiNDoDDAYDHPZuVG57D10tdaj6dguK558GoKeReFLGFDRYt6Gz2QoYMgH0rHBnszVj37598NubIIoi0vOm9x1HlmVYt70HV3cbkrKKkF08H2qNruc5ScLeiq1oqt6O6u8+RPZBx2NvYwcmZyeNybUhIiKKdhaLBZ2dnUqXQTSuVFVVQZZljng6AKPRiGuuuQb//Oc/8be//Q1VVVVYtmwZLBaL0qURRTyOeKKoIcsyuuzuAXPiPC472hurAAjInX4kNLof5q6rNVpMmnEkBJUG9o4m2Nub+p5LzCoEAHS31AFyAIFAANXVVaiv34fE+FhoJAfUag0S03/4dqirZS/sHU0wxSQid9oRfaETAAgqFbKKDoVRTEB32z7Yu1pRUWML09UgIiKaeMxmM0c8EQ1TZWUl9Ho9MjMzlS4l4gmCgFNOOQU33XQTamtrUVJSgqqqKqXLIop4DJ4oavj8EvyBgUNe7e0NAGSYYhJhsiQMeF5nMCM2qeeNtrttX9/jBlMsxIR0SH4fXF1NKC+vQHe3HXl5edDJdsiyhLiU3H5BVqetDgAQl5oHYZCV9QRBgJiQBgDw2FvQ2ukc1TkTERHRD9hcnGj4KisrkZ+fD1UIV4WOdtOnT8fatWsRExODu+++Gx9++KHSJRFFNE61o6jhD/x0gl0Pr7tnWWWdcehhsHpTTM+2nv5BUGJGIZrqKuG0VSMuJQ9FRYXQ6/XYubMCAJCUWdhve4+rCwCwb/eX2Lf7y/3WK/k9cHt8+92GiIiIgieKIhwOB2RZHtCfkYgGkmUZVqsVCxcuVLqUcScxMRGrVq3C888/j40bN8JqteKCCy6AVqtVujSiiMPgiWgIbrcbbXapZ5W8QDf0WgF6vR6Orha4utugNZgRk5TV7zXy9wvqifFpfWHWUPTmOH6zREREFEIWiwU+nw8ej4fLwhMFob29HR0dHWwsPkI6nQ6XXnopJk+ejGeeeQY1NTVYsWIFEhIGzrIgmsgYPFHU0GrUP23vBKBnKh0AeL8fjTQYj7NnWL5Ob4IkyWhubkJTUxN0Oh0y86ejpb4CDdW7EBufBHvT96OdMgoGfJvae6y4lFyk5c3cb71Olxd6LX8FiYiIQkUURQCAw+Fg8EQUhMrKSgBgY/FRWrRoEbKysrB+/XqUlJRg2bJlmDZtmtJlEUUMDregqKFRq6BRD/yRFuPTAQhwdrXB2dU64Hmv24HOlr0AALUxDuXl5WhsbEJKSgqKioqQmT8TOp0OgqcNtTW1aK4rBwAk/mSaHQDEJmcDANobe1YH2R+/X0Jqojjc0yQiIqIh9AZP7PNEFJzKykokJCQgPj5e6VLGvfz8fKxduxbZ2dn4/e9/j3/+858HvB8gmigYPFHUEAQB8TGmH+a7fU9vFBGflgdARs2uj+H3uvueC/h9qNn5MaSAD7LGhH3NnVCrVSgqKkR6ejpUKhXE+FQYzLHQCAH4OqvQ3dkBU2wKDObYATXEpeTCFJsMR2czqnd8CJ/XNWAbv8+D5tpSaDQCCnKTQ34diIiIJqreZc25sh1RcKxWK6fZhZDFYsGNN96Ik08+GS+99BIefvhhuFwD7weIJhrO86GoUpibjC3SwG8WcqcthNvRCUdHM7778GVYEtKh1enQ3lwHl7MbPj8gJk9BRkYmkpOTBkyhS8osRH3FVkhOG2TI8KljB21cKggCpsw5Hnu+/jda6yvQ3lgFkyUBOqMISZLgdXXB2d0OyBJmLp6MzJSB4RURERGNjNncM+WdwRPRgQUCAVRVVeGss85SupSoolKp8Itf/AL5+fnYsGED7rjjDqxYsQIZGRlKl0akGI54oqgyszAd0iDBk0ZnQPH805BZOA96k4iu1r1obaiCy+2DpE9B+tSjMWPmHKSkJA+6Ck5iRgEgqKBSCRDFGEgaCxoaGgatQWcwo3j+6cidfgTMsclwOTrR3lgFe3sjACA5uxhTDjkJsTHmQacGEhER0cgYDAZoNBpOtSMKwt69e+H1etnfKUzmzp2LkpISAMDatWuxdetWhSsiUg5HPFFUKchJxoxF50KvG/ijrVZrkJ4/G2l5s9He3o7GxgZoAwFkZmYiPj5h0MbkvXQGM+aeeHnfn5ubm1Ffvw8mkwlxcXEDtlep1EjOnork7KmD7s/l8aEoL2XY50dERERDEwQBoijC4XAoXQpRxKusrIRKpcKkSZOULiVqZWRk4Pbbb8fGjRuxfv16nHLKKTj77LOhVquVLo1oTDF4oqiSEGtCdloc9tm6Bh1N5PV6UVdXh66ubqSkJCM1NRUazfB/DZKTU+B0OlFbWwu93gCjcfgr55yxeMawX0NERET7J4oip9oRBaGyshLZ2dnQ6/VKlxLVjEYjli9fjrfffhsvvfQSqqqqsGzZMsTExChdGtGY4Twfijo/P34W3F5/v8dkWUZzsw2lpWVwu92YPDkfkydPHlHoBACCAGRn50Cn06GqqgqBQCDo1wYCEtITY9jfiYiIKAwYPBEFx2q1cprdGBEEAUuWLMHNN9+MvXv3oqSkBFarVemyiMYMgyeKOrMKMxBj0vctX+pyubB7927s21ePxMQEFBcXh+QbBrVahby8PPj9ftTU1Px0Mb0huTw+nHnsQaM+PhEREQ0kiiJ7PBEdgNPpRENDA1e0G2PTpk3D2rVrERcXh7vvvhv//e9/lS6JaEwweKKoo1IJ+NlR02B3etHQ0IDy8goEAhIKCgqQlZUV0jnVer0ekybloqurC42NjQfcPiBJiLUYcehBOSGrgYiIiH5gsVg44onoAKxWK2RZ5ognBSQkJGDVqlU48sgj8dRTT+Gpp56C1+tVuiyisGKPJ4pKBakaNNdXosvpQ3paKlJSUqFS7ad7+CjExMQgLS0NDQ2NMJmMiI0degqd2+PHby86mqvZERERhYnZbGbwRHQAVqsVJpMJGRkZSpcyIWm1WlxyySXIz8/HM888g9raWqxYsQKJiYlKl0YUFrz7pajicrmwefNmrFt3D+ZNUiEvfzJSU8MXOvVKTU1DbGwMampq4XZ7Bt3G6fbh8NmTMGNKWlhrISIimsg41Y7owCorK5GXlwdhf8s6U9gtWrQIq1evRldXF0pKSrBz506lSyIKCwZPFDW+/vprrFy5Ep988gkuvPBCrLvzVvzy5HlwuHxhP7YgALm5udBqNYM2G/cHJIgmHa44a37YayEiIprIRFGEx+OB3+8/8MZEE5Asy7BarezvFCHy8vKwdu1a5OTk4A9/+AP+8Y9/9PWqJYoWDJ5o3Ovs7MTDDz+Mv/zlL8jJycG6detw/PHHQ6VS4YzFM3BQQRqcrvDPm1ar1cjLy4PP50VtbV1fs/GAJMEfkHDLZcdAr+PsViIionCyWCwAwFFPRENoaWlBV1cXg6cIYrFYcOONN+KUU07B3/72N6xfvx4ul0vpsohChsETjVuyLOPDDz/EypUrUVpaimXLluH666/vNzdapRJw0yWLMSUnGU53+Ec+GQwG5OTkoKOjA83NTQhIEry+AFZefizyMjlnm4iIKNxEUQQAOBwOhSshikyVlZUAwMbiEUalUuGcc87BihUrsGPHDqxduxb19fVKl0UUEhx+QeNSU1MTNm3ahF27dmHhwoX45S9/2fcN509pNWrceuVx+P3TW7CzshFmoy6stcXFxSEtLRX1+xqg1Rpwz/Wno2hSSliPSURERD16gyeOeCIanNVqRXJyMmJiYpQuhQYxd+5cZGZm4sEHH8TatWtx/PHH4x//+AeKi4uxcuXKYe1r6dKlAIDNmzeHo1SioHHEE40rgUAA//rXv3DrrbeiubkZN954I6688sohQ6deWo0at1x2DJYsLIbT7YPfH9jv9qMhyzIssQlIircg1v0dEsxs2khERDRWeoMnrmxHNLjKykpOs4swN9xwA5YuXYqWlhYAQHp6OkpKSjBr1iy8+OKL2LdvHyRJUrhKopFj8ETjRk1NDdauXYuXXnoJixcvxt13342DDjoo6Ner1SpcdOpc3L1iCUSzAd3OwVefGw2fPwC314/Tj5mBlx5YjsQYPR566CF4PKE/FhEREQ1kNpshCAKDJ6JB+P1+1NTUcJrdOGAwGPDrX/8aJ510Epqbm/H555+jq6trWPtYt24d1q1bF6YKiYLH4Ikintfrxcsvv4w1a9ZAkiTcdtttOP/882EwGEa0v0kZCXjg5jPw8xMORkCSYXd4IEmjWznC5fHB5fEhNdGCe687BeedOAdxsTFYsWIFGhoasGnTJq5OQURENAYEQYDZbGbwRDSI2tpa+Hw+jngaJwRBwBFHHIEpU6agu7sbJSUlfT26gpGRkYGMjIwwVkgUHPZ4oohWWlqKp59+Gq2trTjzzDNx8sknQ6MZ/Y+tRq3ClecciRMOnYSPvrbi/7bsQGuHE5IswajXQq3efyYryzK8vgA8Xj9MRh0OnZGDnx83Exkpsf22y8nJweWXX45HH30UeXl5OOGEE0ZdOxEREe2fKIoMnogGYbVaodFokJOTo3QpBOCjjz7Ck08+2ffnG264od/zt9xyC4Cef9OmT58OQRBw7bXXIikpCTqdDjqdDkVFRTj77LORmZk5YP9D9Xhqb2/HW2+9he3bt6OtrQ2CIEAURaSmpmLWrFlYsmRJqE+VJjgGTxSRnE4nXnzxRfz3v/9FUVERfvOb34QlrdfrNDj2sAIcc+gUVO9rw5c792LHngY0t9nhdHsRkGRABiRZhkoQoFIJ0GrUiLMYkZ+ViNnFGThkahYMeu2Qx5g/fz6sViteeOEF5OTkoLi4OOTnQURERD+wWCwMnogGUVlZiezsbOh04V1sh4KTmpqKI444Alu3boXH48HcuXP7zeqIjY1FZ2cnAECn00Gj0cDn8/X16TKZTPjqq69QWlqKO++8E0lJSQc8ZkdHB9asWYOOjg4kJiZixowZ0Ol06OjoQF1dHWpqahg8UcgxeKKIs3XrVjz77LPweDxYunQpFi9eDEEIb4NuQRCQl5mIvMxEnHPCLACA3elBW6cT/oCEgCRBq1HDqNciOV6ESjW8es4991zU1NTg4Ycfxtq1a5GQkBCO0yAiIiKAU+2IhlBZWTmsHqkUXoWFhSgsLERZWRk8Hg9++ctfDgiPeoOn3bt3Izc3Fy+//DK2b9+OZ555BjExMUhMTERlZSX+8Y9/4JJLLjngMf/73/+io6MDixcvxtKlS/vdZ/n9fpSXl4f0HIkA9niiCNLe3o6HHnoI69evR35+PtatW4djjjkm7KHTUESTHjnp8cjPSkRBTjImZSQgNdEy7NAJANRqNZYvXw6NRoP169fD5/OFoWIiIiICekY8dXd3K10GUUSx2+1oampiY/FxShAE/OpXv0JcXBwWLVqE1atXw+l0Ys+ePeju7sbOnTuD2k9HRwcAYMaMGQPuszQaDaZPnx7q0okYPJHyZFnGBx98gFWrVqGiogLLly/HddddF3WjgmJiepqN19bW4rnnnlO6HCIioqjFHk9EA1mtVgBgY/FxKjExsV9vrry8PKxduxZFRUWorKzErl27glrMqDd4/Nvf/oatW7fC7XaHrWaiXpxqR4pqbGzE008/jbKyMixatAjnnnsuRFFUuqywyc/Px8UXX4yNGzciLy8PRx99tNIlERERRR1RFOFwOJQugyiiWK3WvgbSNP4kJiYOeEwURaxcuRL//e9/4XK5gpopcsQRR2Dnzp343//+h/Xr10OlUiEzMxMFBQWYN28epk2bFo7yaYJj8ESK8Pv9ePvtt/H3v/8d8fHxuPnmmyfMsM5FixbBarXi2WefRVZWFqZMmaJ0SURERFGlN3iSJAkqFQf4EwE9/Z3y8/MVa2NBozPU35tKpUJ6evqw9nP11Vfj1FNPxbfffouKigrs2bMH77//Pt5//33Mnj0b1113Hf/tpJBi8ERjrqqqCk8//TRqa2uxZMkSnHHGGdDr9UqXNaYuvPBC1NXVYf369Vi7di1iY2OVLomIiChqiKIIWZbhcDhgsViULodIcbIsw2q14rjjjlO6FIoQmZmZyMzMxMknnwxZlrFr1y489thj2LZtGz7++GMsWrRI6RIpijDGpDHj8Xjw4osvYu3atQCAkpISnHvuuRMudAJ6Gvddc801kCQJDz/8MPx+v9IlERERRY3eafvs80TUo6mpCXa7nf2dIpRarQYABAIBRY4vCAKmT5+OBQsWAABqa2sVqYOiF4MnGhM7duzArbfeivfeew8///nPcfvttyMvL0/pshQVHx+Pa665Bnv27MGLL76odDlERERRo3eUE4Mnoh6VlZUAwBXtIlTvokr19fVhP9bHH3+MqqqqAY+7XC6UlZUBAJKSksJeB00snGpHYWW32/Hiiy/io48+QnFxMW644QakpaUpXVbEKCwsxPnnn49nn30WeXl5WLhwodIlERERjXu9I566u7sVroQoMlitVqSmpkb1Ij7j2dy5c1FaWorHHnsMBx10EEwmEwDg5JNPDvmxvvzyS2zYsAFxcXHIzc2FyWSC0+nE7t274XQ6kZWVhaOOOirkx6WJjcEThYUsy9i6dSueffZZ+P1+XHbZZVi0aBGbGQ7i2GOPRVVVFTZt2oTMzExMmjRJ6ZKIiIjGNbPZDIAjnoh6VVZWcppdBDv22GPhdrvx6aefYvv27fB6vQCAww8/POTHWrJkCVJSUrB7925UV1fD4XDAbDYjIyMD8+fPx5FHHgmDwRDy49LExuCJQq6trQ2bN2/Gtm3bMHfuXFx44YWIj49XuqyIJQgCli5dirq6Ojz00ENYs2YNG6ESERGNgkajgdFohMPhULoUIsV5vV7U1dVxZH0EEwQBP/vZz/Czn/1s0Oc3b96839cP9fxgjxcVFaGoqGj4RRKNAns8UcjIsoz33nsPK1euRHV1NVasWIEVK1YwdAqCTqfDtddeC4/Hg0cffVSxxoJERETRQhRFTrUjQk+jaL/fzxFPRKQYBk8UEvv27cPdd9+NZ555BgsWLMC6deswd+5cpcsaV5KSkvDrX/8au3btwiuvvKJ0OUREROOaKIqcakeEnv5OWq0WOTk5SpdCRBMUp9rRqPj9frz11lt44403kJiYiJUrV6K4uFjpssatadOm4dxzz8WLL76IvLw8HHrooUqXRERENC5ZLBYGT0To6e+Uk5MDjYa3fkSkDP7rQyNWWVmJp59+GvX19Tj55JNx+umnQ6fTKV3WuHfSSSehqqoKTz75JDIyMpCVlaV0SUREROOO2WxGe3u70mUQKa6yshIHH3yw0mUQ0QTGqXY0bG63G3/9619x5513Qq1WY82aNTjnnHMYOoWIIAi47LLLkJKSggcffBBOp1PpkoiIiMYdi8WCrq4upcsgUlRXVxdsNhvy8/OVLoWIJjAGTzQs27dvx+rVq7Flyxace+65uP3225Gbm6t0WVHHYDBgxYoV6O7uxuOPPw5ZlpUuiYiIaFxhjyeinv5OANhYnIgUxeCJgtLd3Y0//elP+OMf/4jU1FTcfffdWLJkCdRqtdKlRa3U1FQsW7YM3377Lf7+978rXQ4REdG4IooiHA4Hv7yhCa2yshIxMTFISkpSuhQimsDY44n2S5ZlfPbZZ3j++eeh1+txxRVXYOHChRAEQenSJoSZM2fizDPPxGuvvYZJkyZhzpw5SpdEREQ0LoiiiEAgALfbDaPRqHQ5RIqorKxEfn4+P7sTkaI44omG1Nraij//+c947LHHMG3aNDz66KM48sgj+cY1xk477TTMmTMHjz/+OBoaGpQuh4iIaFwQRRFAz6htoolIlmVUVVWxvxMRKY7BEw0gSRLeeecdrFy5ErW1tbjuuuuwfPlyxMXFKV3ahCQIAq666irExsbiwQcfhMvlUrokIiKiiNcbPLHPE01UDQ0NcDqd7O9ERIpj8ET91NfX46677sLzzz+PhQsXYt26dVx+NQIYjUZce+21aG1txcaNG9mvgoiI6AAsFgsABk80cVVWVgIARzwRkeIYPBEAwOfz4fXXX8ftt98Op9OJ1atXY+nSpeyJEEEyMzNx5ZVXYuvWrXjrrbeULoeIiCiimc1mAJxqRxNXZWUlMjIyYDKZlC6FiCa4YTcXD0d/n959RlPvoPF0Trt378ZTTz2FxsZGnHrqqfjZz34GnU7Xb5vxdD7BGK/nM2/ePJx22ml45ZVXkJeXhxkzZvQ9N17PaSg8HyIiGg29Xg+dTgeHw6F0KUSKsFqtHO1ERBFhWMFTcnJyuOoAAKSlpYV1/0qI5HNyuVzYvHkz/vnPf6KwsBBr1qzBpEmT9vuaSD6fkRiP57N8+XK0tLTg6aefxp///Gekpqb2e348ntP+8HyIiGikRFHkVDuakDweD+rq6nD00UcrXQoR0fCCJ5vNBr/fH/IiBEFAWloaGhsbo6Z3TaSf07Zt27Bp0yY4nU6cffbZOP7446FSqYZcNS3Sz2e4xvv5XHjhhVizZg1Wr16NW2+9FXq9ftyf009F+/loNJqwh/lERBOdKIqcakcTUk1NDSRJYmNxIooIw55qF84bQFmWo+IG88ci7Zy6urrw/PPP47PPPsNBBx2ESy65BElJSQCC+7uNtPMZrfF6PmazGStWrMCdd96Jp59+GldeeSVUqp6WbeP1nIbC8yEiopHiiCeaqCorK6HT6ZCVlaV0KUREww+eaHySZRmffPIJXnjhBQDAVVddhQULFrDfzDiWk5ODyy+/HI8++ijy8vJw4oknKl0SERFRRGHwRBOV1WrFpEmToFarlS6FiIjB00Rgs9mwadMm7NixAwsWLMD555+PmJgYpcuiEJg/fz6sViteeOEF5ObmIj09XemSiIiIIoYoimhqalK6DKIxV1lZiUMPPVTpMoiIADB4imqSJOHdd9/FK6+8AlEU8dvf/hazZs1SuiwKsXPPPRc1NTVYv349DjroIKXLISIiihgWi4U9nmjCaW9vR2trK/s7EVHEUCldAIVHXV0d7rjjDrzwwgs46qijcM899zB0ilJqtRrLly+HRqPBvffeC5/Pp3RJREREEYFT7WgislqtAMDgiYgiBoOnKOP1evHKK6+gpKQEHo8Ht956Ky688EIYjUalS6MwiomJwbXXXgur1Ypnn31W6XKIiIgigtlshtfrhdfrVboUojFTWVmJuLg4xMfHK10KEREATrWLKmVlZXj66afR0tKC008/Haeccgo0Gv4VTxT5+flYtmwZfv/732PSpElYvHix0iUREREpymKxAADsdjsSEhIUroZobFitVuTn53MRISKKGEwlooDT6cTLL7+MLVu2oKCgANdeey0yMzOVLosUcPzxx+PLL7/Ec889h+zsbEyZMkXpkoiIiBQjiiIAoLu7m8ET9RONoYwgCJAkCVarFaeddlpUnuNY672GvJahxesaepF+TRk8jXNff/01Nm/eDJfLhYsuugjHHntsxP6w0di48MILUVtbi4ceeghr165FXFyc0iUREREpojd4Yp8n+rHk5GSlSwibmpoaAMBhhx3G1Y5DKC0tTekSohKva+hF6jVl8DROdXR04LnnnsPWrVsxe/ZsLF26lN/kEQBAo9HgmmuuQUlJCR555BHcfPPNnHJJREQTUm/w5HA4FK6EIonNZoPf71e6jJATBAEVFRXwer0QRRENDQ1KlzTuCYKAtLQ0NDY2QpZlpcuJGryuoafUNdVoNEGF+bwbHWdkWcZHH32EF154ARqNBsuWLcNhhx3GUU7UT3x8PK655hrce++9ePHFF3HhhRcqXRIREdGYMxqNUKvV6O7uVroUijDRerNbXl6OjIwMGAyGqD1HJciyzOsZBryuoRep15TB0zjS1NSEp59+GqWlpTjiiCPwy1/+su+bPKKfKiwsxPnnn49nn30WeXl5WLhwodIlERERjSlBEGA2mznVjiaM8vJyTJ48WekyiIj6YfA0DgQCAfz73//G66+/jpiYGNx0002YMWOG0mXROHDssceiqqoKmzZtQmZmJiZNmqR0SURERGNKFEUGTzQhuN1u1NTU4PDDD1e6FCKifhg8Rbiamhps3LgRtbW1OPHEE3HmmWfCYDAoXRaNE4IgYOnSpdi7dy8eeughrFmzpm9paSIioonAYrEweKIJoaqqCrIsc8QTEUUcldIF0OC8Xi9eeuklrFmzBpIk4fbbb8cvf/lLhk40bDqdDtdeey08Hg8effRRBAIBpUsiIiIaMxzxRBNFZWUlDAYDMjMzlS6FiKgfBk8RaNeuXbj11lvx7rvv4swzz8SaNWuQn5+vdFk0jiUmJuLXv/41du3ahVdeeUXpcoiIiMaMKIpsLk4TgtVqRUFBAVQq3uIRUWThVLsI4nA48NJLL+G///0vioqKcP311yM9PV3psihKTJs2Deeeey5efPFF5OXl4dBDD1W6JCIiorATRREOh0PpMojCrrKyEqeccorSZRARDcDgKUJs3boVzz77LLxeLy655BIcffTREARB6bIoypx00kmorq7Gk08+iYyMDGRlZSldEhERUVhZLBaOeKKo19bWhvb2dhQWFipdChHRAByHqbD29nY8+OCDWL9+PfLz83HPPfdg8eLFDJ0oLARBwKWXXoqUlBQ8+OCDcDqdSpdEREQUVmazGS6XC36/X+lSiMKmsrISAFBUVKRwJUREAzF4Uogsy9iyZQtWrlyJ3bt345prrsF1112HhIQEpUujKGcwGLBixQp0d3fj8ccfhyzLSpdEREQUNqIoAgCn21FUq6ysREJCAu8liCgiMXhSQENDA+69915s2rQJ8+bNw7333ot58+ZxlBONmdTUVCxbtgzffvst/v73vytdDhERUdhYLBYA4Mp2FNWsVismT56sdBlERINij6cx5Pf78a9//Qv/93//h4SEBPzud7/DtGnTlC6LJqiZM2fizDPPxGuvvYZJkyZhzpw5SpdEREQUcr0jntjniaJVIBBAVVUVzj77bKVLISIaFIOnMWK1WvHUU0+hvr4eJ510Es444wzo9Xqly6IJ7rTTTkNVVRUef/xxlJSUcBVFIiKKOr3BE0c8UbTau3cvvF4v8vPzlS6FiGhQnGoXZm63Gy+++CLuuOMOqFQqlJSU4Nxzz2XoRBFBEARcddVViI2NxYMPPgiXy6V0SURERCFlNpshCAJ7PFHUslqtUKlUmDRpktKlEBENisFTGG3btg2rV6/Ge++9h3POOQclJSV8Q6CIYzQace2116K1tRUbN24ctNn4DTfcgKVLl+Kjjz5SoEIiIqKRU6lUMJvNnGpHUauyshLZ2dn8YpuIIhaDpzCw2+3YsGEDbrvtNiQnJ+Ouu+7CKaecArVarXRpRIPKzMzElVdeia1bt+Ktt95SuhwiIqKQMpvNnGpHUauyspLT7IgoorHHUwjJsowvvvgCzz33HPx+P6699lpMnz5d6bKIgjJ37lyceuqpeOWVVzBp0iTMmDFD6ZKIiIhCQhRFBk8UlZxOJxoaGnDyyScrXQoR0ZA44ilE2tra8MADD+CRRx5BUVER1q1bh+OPPx6CIChdGlHQzjrrLMyYMQOPPvoobDab0uUQERGFhMViYfBEUclqtUKWZY54IqKIxuBplGRZxnvvvYeVK1eiuroa1157La655hrEx8crXRrRsKlUKlx99dUwmUx46KGH4PF4lC6JiIho1DjiiaKV1WqFyWRCRkaG0qUQEQ2JwdMo1NfX4+6778YzzzyDBQsWYN26dTjkkEOULotoVERRxIoVK9DQ0IBNmzYN2myciIhoPBFFkc3FKSpVVlYiLy+PsyyIKKKxx9MI+P1+vPXWW3jjjTeQmJiIlStXori4WOmyiEImJycHl19+OR599FHk5eUpXQ4REdGomM1mOBwOpcsgCilZlmG1WnHUUUcpXQoR0X4xeBqmPXv24KmnnkJjYyNOPvlknHbaadDpdEqXRRRy8+fPh9VqxQsvvACVioMjiYho/Ort8STLMkeGUNRobW1FV1cXJk+erHQpRET7xeApSG63G6+++ireffddTJo0CWvWrEFOTo7SZRGF1bnnnouamhq8+eabHPlERETjliiKkGUZDocDoigqXQ5RSFRWVgIAgyciingMnoKwfft2bNq0Cd3d3TjvvPNw/PHHQ61WK10WUdip1WosX74c27dvh0bDfy6IiGh86g2b7HY7gyeKGpWVlUhKSkJMTIzSpRAR7RfvJPeju7sbzz//PP73v/9h+vTpuOWWW5CSkqJ0WURjKiYmBhkZGWhpaVG6FCIiohGxWCwAwJXtKKpUVlZiypQpSpdBRHRADJ4GIcsy/ve//+Gvf/0rJEnCr371KxxxxBHsCUBEREQ0DpnNZgAMnih6+P1+1NTU4NBDD1W6FCKiA2Lw9BMtLS3YvHkztm/fjvnz5+P8889HbGys0mURERER0Qj1jnjq7u5WuBKi0KitrYXP52N/JyIaFxg8fU+SJPznP//BK6+8ArPZjOuvvx6zZ89WuiwiIiIiGiWNRgO9Xg+Hw6F0KUQhYbVaodFouNgREY0LDJ4A7N27F0899RSsViuOOeYYnHPOOTAajUqXRUREREQhYrFYONWOokZlZSWys7Oh0+mULoWI6IAmdPDk8/nw5ptv4q233kJKSgpWr16NgoICpcsiIiIiohATRZHBE0UNq9WK6dOnK10GEVFQJmzwtHv3bmzcuBE2mw2nnHIKTj31VGi1WqXLIopI999/v9IlEBERjYooiuzxRFHBbrejsbERp512mtKlEBEFJWKCJ49fQk2XH42OADo9EnxSz+MyALUAiFoBySYVMs1qiDrViI/jcrnw8ssv4/3338fkyZOxdu1aZGVlheYkiIiIiCgiWSwWtLe3K10G0ahZrVYAQH5+vsKVEBEFR/HgqcsrobTNj676BtidXmgEQCUAgiAAAAQAkgx0eCS0uCSUt/khalUoilcjQ1T3bReMbdu2YfPmzXA4HLjgggtw3HHHQaUaeYhFREREROODKIqoq6tTugyiYZFlGR4J8Es9X8irAFira2A2m5GWlqZ0eUREQVEseArIMna2+FDdFQAEQDTqoNcIPf+iDkIlCNCpe/7b6ZewtUlCbEcAh6VpYdLuPzzq6urC888/j88++wwzZ87E0qVLkZSUFOIzIiIiIqJIxR5PNF5IsoxWjwybG/BJPV/CS3LPF/IAgKzpOO6SQlTZZaQbAaMm+C/iiYiUoEjwZPdJ+KTeC5dfhk4t/Ohf0eD0hlB2r4T/1HkwK0mL3JiBpyLLMj7++GO8+OKLAICrrroKCxYsGNYoKSIiIiIa/8xmM+x2O2RZ5mdBikiyLKPRJaPJBQTknnYjwvezQVQ/+pF1dHcjKTkZHV6gwyPDqJGRZxEYQBFRxBrz4KnLE8CH+7yQZfSETqOgVgmQZRnbbD54A0BB/A+nY7PZ8PTTT2Pnzp04/PDD8ctf/hIxMTGjLZ+IiIiIxiGLxQK/3w+PxwODwaB0OUT9eAIy9nTJ8AR6QibNEBM6PB4P/IEATCYT1AIAAXAHgF0dMtKMEtLkIaaPEBEpaEyDJ5dfxkf7vIAMqEP0TZMgCNBAxq42H3RqIMss4N1338Wrr74Ki8WCG264ATNnzgzJsYiIiIhofBJFEUDPimAMniiSOH0SKrq+X1TpAO1nnU4nAMBsMvc9phIAWQYaXTK+3deFFIHhExFFljELnmRZxheNXgQkoLGqAq8//kdk5hfirKtvGtZ+Hrr5CgDAit9v6HusN3z6oq4bm/7vCVRVlOL444/H2WefzQ8WRERERFGutLQU9957L4qLi7Fy5cpBt+kNnrq7u/v1+rz44othMBjwxBNPjEmtRD/mCcio6Or5b9V+vpd/4PYb0dHWiiNOPB2ZU4qg1qj7PS8IPTd2zXYPnIKMSSKn3RFR5Ahb8HTDDTegpaUF999/P5KSklDdFUCHR4J2f/+ijpAkSWhqaoKttRWm4sOx+pyzUVAwJeTHISIiIiJl/PSz5XBZLBYAgMPhCHVpRCMiyz3T62TsP3T6MbfHDZPJNOTzWrUKbS4ZcVoZcXqu3k1EkWFMRjwFpJ6pcKHod3fBjXf0+7PdbkddXR28Xi9S01IRn5iCmAzd6A9ERESKGMumv73HGg+NhllreLDW8AhnrYIgDNjvj/881DF/PNXux9vcd999SElJmfDXlcZeo6unp9OBptf1kmUZHo8H5v0ETwCgBlDjAEStDE0YvvQnIhquMQme6u0B+AKjbyYOAAkp6QCAQCCAfQ370NrSCrPZjLy8PBgMBkiyjLL2AFLNiizYR0REo5CcnKzIcdPS0hQ57kiw1vBgreERylpNJhMMBgNSU1ORkpLS77mWlhYYDAaIooj09PRBXy/LMiwWC7Rabb9thto+ko2nnwEanCT3rF43nFxICgQgAzCZzfvdThAAvwQ0uWVkmhg8EZHyQp7OfPTRR3jyySf7/nzDDTegxSVBkmUAAs686sZ+2wf8fmz7+F3s3vYF2m1N0Gh1yMgvxIITz0BCasaA/T908xXw+X048fIbEQhIyMrKQlJSIhxdnfjw36+jpnwHujrasMmkRlyMBampqZg1axaWLFkS6lMlIqIQs9ls8Pv9Y3Y8QRCQlpaGxsZGyBG+EhBrDQ/WGh6hrPWjjz7Chg0/9Pa84IIL+j3f29PJ7Xb3jYR/++238cknn8Bms0Gn06G4uBhnn302NBoNamtr0dDQ0Pf6pUuXQq/XY8OGDf1qbW9vx1tvvYXt27ejtbUVgiBAFEWkpaUp9tlyONdVo9EoFubTgbV6ZATkoVevG0wgEIAKgNFoPOC2KgFocQMZRpkj5IhIcSEPnlJTU3HEEUdg69at8Hg8mHPIXFQ71VB9/w+eyRIDZ3dPBz1JCuDNpx9EQ00lcgumISYxBU11VbDu+Ab1lWU47ze3Iyb+hzn8Pp8PTpcTfp8PRqMJ2dlZ0Gp1cHR14qUH74KjqxOWuARkFUxHTpwBgrsLdXV1qKmpYfBERDROKHFDLctyxN/I92Kt4cFawyMUtaakpPT7bDl37tx+i8fExMSgs7MTQM+N+f3334/du3ejuLgY6enpsFqt+PLLL7Fr1y6YTCbY7fZ+NfX+949r7ejoQElJCTo6OpCYmIgZM2ZAp9Oho6MDtbW1qK6uxkknnTSq8xqN8fQzQIOzuYHhTgYJBALQ6fVBBUmCAARkwOEHRO0IiyQiCpGQB0+FhYUoLCxEWVkZPB4PTj7rXOzyWKD70TjS3uCpoboSyRnZuPh39yAxORVujxt+rxdvPfMI/r+9+/mtq8zvAPw594d97TiJcXBwbEhIAE2HgAQzMAMUwlA0qESiQjNSJaRWCIkFO/4QdohFEIsuuqqQumVTRWIUgVqgBVJIQhwRBQiBUCbhR3Ds63u6uDFDG0Ls5B5f+/I8khc5st/zft9Y577n43Pe98SR9/LW/lfy0B//MUmZ//nyy5z85GQW24sZGRnNrl07k3TbfO8//pRvvzqb2367J7/7wz+kUybXbajnN1NDabfbOXLkSK/LBABgFfz/ueUTTzxx0eLiS8HT0aNHs2PHjjz33HMZHx9PkszPz+f555/PwYMHc/bs2dx88+U3oHn11Vdz5syZPPTQQ3nyySf/z42+uSVXqyzLLHS64dBKLC4urmjH7rJMvlooM9b0xBPQX5VvdfDnucXkEn+QKYoiD//9U9mwafP3xxrNofz293+XJPlo9v2cP38+s7PH8tGJj7J58+aMjY2l2WxmKXRK/hJkbf/F7hRFkVqRnJ3vdNtrNLJ79+5qigMAYM0oiiJPP/3096FTkgwNDeXxxx9P0n2S6euvv75sO2fOnEmS3HbbbRc9XWJuydWa7ySdFT6w1umU6XQ6GW4NL/tn6kXy9cIKOwdQgcqDp7nF8pKL5o2NT2Ry+oaLjl9zYQHxL7/4PEeOHM78/HxuuummbN++/UcfLb3uhhuTJK+98q+ZPfhW2vPz6XR6VgIAAOvAli1bsn379ouOz8zMJOku2/DNN99ctp1du3YlSV5++eW88cYbmZub621H+Vlb6CQrvVVpL3bXP2wNL/+Jp6VFxgH6rfKt334qzd84PvGjx4dbFxbMK8tce+21mZqaSq1Wv2Q7f/Xr+/LR0UM58l//nlf+eV+KWi1brtuWU7/+Ze6+++7ceuutV1MCAADrwJYtW370+NJizBMTE3nqqacu287999+f9957L6+//npeeOGF1Gq1zMzM5JZbbjG35KqVSYruvkvL1mw0Mjo6euHNj5WdC6DfKg+eGsWlL3iXWxivXqtnenrmsucoiiKPPPF07vqbvTl++GBOfng0n504lv3792f//v2544478uyzz6ZWq/wBLwAA+uRyc8tWq5WdO3cuq51nnnkmjz32WN5555188MEHmZ2dNbekJ67kt6YoijRWGjqViV9RYC2oPHjaPFzLF6u0M/bEddOZuG46d+55JBuaRSa/OpZ9+/bl7bffzoEDB7Jnz57V6QgAAOvezMxMZmZmsnfv3pRlmffff9/ckqvWqq98YfErUSYZufRLIwCrprIMvF7vXuXGmmXqq5y0tzvJ5Egtu3fvzr333pskOXHixOp2AgCAnlmaWy4uLvbl/EVRmFvSE/VakfoqBE+dMtm0soekACpRWSQ0MdFdv+nPp05WfmE99NZr+fzj49//u0yydbSe7777LocPH06Si7bdBQBg/ViaW37yySeVn+vAgQP58MMPLzpubkmvjDWTxYoXYKoVycahVUi4AC6jslft7rrrrhw6dCgvvvhiJnbemrlaK/Ui+dXv/rbn5zp28D/zb//yT9mwaXOunb4hrZHRHBuez+zsbM6dO5frr78+Dz74YM/PCwDA6liaW+7bty+33357RkdHkyR79+7t+bnefPPNvPTSSxkfH8+OHTsyOjqac+fO5ejRo+aW9MS2kSJn56tLnjplMtpIhi61vTjAKqoseHr44YczNzeX1157LSdn/zunvppLkSK/+NW9PT/XnXseyeYtk/n0+LF89vGJNBbOpTOxMdPT07nnnnvywAMPpNVa/tajAACsLT+cW7777ruZn59Pktx33309P9ejjz6arVu35ujRozl+/Hi+/fbbbNiwwdySnhlpFGnVy8wtdp9M6rUyyfRI79sFuBJFWZbLjtpPnz6dhYWFKzrRnz4+nzPnO2n82JW1SFrDrcydn7uqPT/Lskwnye+3t9Jq9DfdL4oi27Zty6effpoVDPGapZ61b9BqGvR6ms1mJicn+92tNedqPmeuxHr6PdPXauhrNfS1Givpq8+ZS1vtz5pLmVssc+hMmSK9WWy8SDLcauXcublsHEpu3mRLu6u1nq4P64lx7b1+jelyP2tW7Wp019RQiiKVDkK7THZPNPseOgEAAPyUVr3I1Ej3tbhe6ZRlarXkxjH3Q8DasWrB02ijyO6JZhYqyp3anTLjw7Xs3GzPUAAAYO2bGikyPpwsdq6+rbLsft2yqfjxt0wA+mRVn7/cubme7Rvrme9lrJ9u6NRqFLl321CKXjynCgAAULGiKLJzrMjEcHeXuyt9OaTTSVIkv9k+ng1Nr9gBa8uqXpWKosidk83vw6devHa3cCF0enBmOEN1oRMAALB+FEWRGzfWsmusu9bTYmf5AVSn7AZWG4eS266pZVOrWW1nAa5AZbvaXcpS+DTRquXgFwspO2UaVxAYlWWZdplMb6jnjq3NND1OCgAArFPjw7WMNct8Nlfmi7mkfeH1u3rxl8XHy7K7F1On7O6GN9ro7l63cajmzQ9gzVr14Cm5kOpvamRqtJ43P5/Pl3OdnG93UpZlivz0BXOxLNMpu4vx3b21ma2j1nQCAADWv0atyMxokemRMt+2k68Wyny90A2hyiS1WjJSTzY1k41DRYb88R1YB/oSPC1pNYrcPz2c79plTnVGc/jkfNqd8qLF9cok9VpSL4qMD9fyy2sa2TIi1QcAAAZPURQZayZjTfc7wPrX1+BpyWizlr/edk12Dc9lrt3J2fPdr3aZ1JOMNruB04ZmIWwCAAAAWCfWRPD0Q8P1IltH616hAwAAAFjn7LUJAAAAQCUETwAAAABUQvAEAAAAQCUETwAAAABUQvAEAAAAQCUETwAAAABUQvAEAAAAQCUETwAAAABUQvAEAAAAQCUETwAAAABUQvAEAAAAQCUaK/2Boih63omlNqtou18GrSb1rH2DVpN6AAAA1r8VBU+Tk5NV9SNJMjU1VWn7/TBoNaln7Ru0mtQDAACwfq0oeDp9+nTa7XbPO1EURaampnLq1KmUZdnz9vth0GpSz9o3aDUNej2NRqPyMB8AAKDfVvyqXZU3gGVZDsQN5g8NWk3qWfsGrSb1AAAArF8WFwcAAACgEoInAAAAACoheAIAAACgEoInAAAAACoheAIAAACgEive1Q4AAGA9K4qi313ouaWaBrG2fjGm1TCuvbfWx1TwBAAA/GxMTk72uwuVmpqa6ncXBo4xrYZx7b21OqaCJwAA4Gfj9OnTabfb/e5GzxVFkampqZw6dSplWfa7OwPBmFbDuPZev8a00WgsK8wXPAEAAD8rg3yzW5blQNfXD8a0Gsa199bqmFpcHAAAAIBKCJ4AAAAAqITgCQAAAIBKCJ4AAAAAqITgCQAAAIBKCJ4AAAAAqITgCQAAAIBKCJ4AAAAAqITgCQAAAIBKCJ4AAAAAqITgCQAAAIBKCJ4AAAAAqITgCQAAAIBKCJ4AAAAAqITgCQAAAIBKCJ4AAAAAqITgCQAAAIBKCJ4AAAAAqITgCQAAAIBKNFb0zY0VffuKVd1+PwxaTepZ+watpkGtZ9Dq6pV+jct6+v/Q12roazX0tRrL6et6qme1DfrYDHp9/WBMq2Fce2+1x3S55yvKsiwr7gsAAAAAP0NetQMAAACgEoInAAAAACoheAIAAACgEoInAAAAACoheAIAAACgEoInAAAAACoheAIAAACgEoInAAAAACoheAIAAACgEv8LUbN+qZjdSbwAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QBZ_wVlLlDiu",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "07d1b380-193a-4c99-c1f1-42280ca0abdb"
      },
      "source": [
        "pl = nx.planar_layout(G)\n",
        "frl = nx.fruchterman_reingold_layout(G)\n",
        "sl = nx.spectral_layout(G)\n",
        "rl = nx.random_layout(G)\n",
        "sh = nx.shell_layout(G)\n",
        "bl = nx.bipartite_layout(G, G.nodes())\n",
        "cl = nx.circular_layout(G)\n",
        "sp = nx.spring_layout(G)\n",
        "kkl = nx.kamada_kawai_layout(G)\n",
        "\n",
        "option = {\n",
        "    'font_size' : 16,\n",
        "    'node_color' : list(pr),\n",
        "    'node_size' : get_node_size(pr),\n",
        "    'alpha' : 0.7,\n",
        "    'cmap' : plt.cm.Blues\n",
        "}\n",
        "\n",
        "plt.figure(figsize = (15, 15))\n",
        "plt.axis('off')\n",
        "\n",
        "plt.subplot(331)\n",
        "plt.title('planner_layout', fontsize=16)\n",
        "nx.draw_networkx(G, pos=pl, **option)\n",
        "\n",
        "plt.subplot(332)\n",
        "plt.title('fruchterman_reingold_layout', fontsize=16)\n",
        "nx.draw_networkx(G, pos=frl, **option)\n",
        "\n",
        "plt.subplot(333)\n",
        "plt.title('spectral_layout', fontsize=16)\n",
        "nx.draw_networkx(G, pos=sl, **option)\n",
        "\n",
        "plt.subplot(334)\n",
        "plt.title('random_layout', fontsize=16)\n",
        "nx.draw_networkx(G, pos=pl, **option)\n",
        "\n",
        "plt.subplot(335)\n",
        "plt.title('shell_layput', fontsize=16)\n",
        "nx.draw_networkx(G, pos=sh, **option)\n",
        "\n",
        "plt.subplot(336)\n",
        "plt.title('bipartite_layout', fontsize=16)\n",
        "nx.draw_networkx(G, pos=bl, **option)\n",
        "\n",
        "plt.subplot(337)\n",
        "plt.title('circular_layout', fontsize=16)\n",
        "nx.draw_networkx(G, pos=cl, **option)\n",
        "\n",
        "plt.subplot(338)\n",
        "plt.title('spring_layout', fontsize=16)\n",
        "nx.draw_networkx(G, pos=sp, **option)\n",
        "\n",
        "plt.subplot(339)\n",
        "plt.title('kamada_kawai_layout', fontsize=16)\n",
        "nx.draw_networkx(G, pos=kkl, **option)\n",
        "\n",
        "plt.show();"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-34-2850d34b0a2d>:22: MatplotlibDeprecationWarning: Auto-removal of overlapping axes is deprecated since 3.6 and will be removed two minor releases later; explicitly call ax.remove() as needed.\n",
            "  plt.subplot(331)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x1500 with 9 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "nGm1F6LnaMV1"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}