{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# 11wk-1: 밈과 클래스 (2)\n",
        "\n",
        "최규빈  \n",
        "2023-05-15\n",
        "\n",
        "<a href=\"https://colab.research.google.com/github/guebin/PP2023/blob/main/posts/03_Class/2023-05-15-11wk-1.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" style=\"text-align: left\"></a>\n",
        "\n",
        "# 강의영상\n",
        "\n",
        "> youtube:\n",
        "> <https://youtube.com/playlist?list=PLQqh36zP38-y_wMxWRPdN7TE79Ghx8xUA>\n",
        "\n",
        "# imports"
      ],
      "id": "d6efb616-4f26-437f-b8b1-5dd84085cdc1"
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "from IPython.core.display import HTML"
      ],
      "id": "283d8174-52e4-45ab-bbc9-07758094caf2"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# 예비학습\n",
        "\n",
        "## 코드줄바꿈\n",
        "\n",
        "`\\`: 코드가 길때 줄을 바꾸는 기능\n",
        "\n",
        "`-` 예시1"
      ],
      "id": "b6d02a3a-a143-481b-b8ae-6405de36547a"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "a\\\n",
        "=55"
      ],
      "id": "8d1fff91-bb20-4a51-b456-6b515a4d714e"
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "a"
      ],
      "id": "f6f27933-dbc4-4c79-ba33-07ce326205b8"
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "a=\\\n",
        "33"
      ],
      "id": "95ae691b-80ae-4a36-9ec7-79a313f4d931"
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [],
      "source": [
        "a"
      ],
      "id": "879e3fdc-d066-4b65-950d-57f43b42e189"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "`-` 예시2"
      ],
      "id": "f4b5d0e6-5fb1-4750-8872-83277a8f5838"
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [],
      "source": [
        "a=0.5 \n",
        "a"
      ],
      "id": "13053545-d328-4f42-9f36-776f6fa67de5"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "$a+a^2+a^3+a^4+a^5$ 를 계산하고 싶다면?\n",
        "\n",
        "(방법1)"
      ],
      "id": "489ece9e-a26b-4058-966c-51e9ca3ed282"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [],
      "source": [
        "a + a**2 + a**3 + a**4 + a**5 "
      ],
      "id": "a60dd3b2-7914-4dd8-9be7-a437605e623a"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "(방법2)"
      ],
      "id": "5a913d45-94fb-402e-a17d-e66fb36c53d3"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [],
      "source": [
        "a +\\\n",
        "a**2 +\\\n",
        "a**3 +\\\n",
        "a**4 +\\\n",
        "a**5 "
      ],
      "id": "52f7caa3-a6e7-4835-902a-e337d49f0eee"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## `'''`으로 선언하는 문자열\n",
        "\n",
        "`-` 예시1"
      ],
      "id": "19960f52-06e4-4849-9854-d3b9ed8b93b1"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "1. asdf\n",
            "2. sdfa\n",
            "3. dfas\n",
            "4. fasd\n"
          ]
        }
      ],
      "source": [
        "string = '\\n1. asdf\\n2. sdfa\\n3. dfas\\n4. fasd\\n'\n",
        "print(string)"
      ],
      "id": "4b67f1bd-2a0f-4e40-a7d6-42376b0a70e0"
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "1. asdf\n",
            "2. sdfa\n",
            "3. dfas\n",
            "4. fasd\n"
          ]
        }
      ],
      "source": [
        "string = \\\n",
        "'''\n",
        "1. asdf\n",
        "2. sdfa\n",
        "3. dfas\n",
        "4. fasd\n",
        "'''\n",
        "print(string)"
      ],
      "id": "3d952b7f-f308-47a1-a553-73b044d2c6d3"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "`-` 예시2"
      ],
      "id": "4eb9c2a5-f015-4b26-ad48-6053e6e2a6d4"
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [],
      "source": [
        "string = \\\n",
        "'''\n",
        "1. asdf\n",
        "2. sdfa\n",
        "3. dfas\n",
        "4. fasd\n",
        "5. {}\n",
        "6. {}\n",
        "'''"
      ],
      "id": "288e1da0-64e2-4aa4-8ec5-2786f7e714a1"
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "1. asdf\n",
            "2. sdfa\n",
            "3. dfas\n",
            "4. fasd\n",
            "5. aaaa\n",
            "6. bbbb\n"
          ]
        }
      ],
      "source": [
        "print(string.format('aaaa','bbbb'))"
      ],
      "id": "5be2e653-cd71-457c-bf71-37946d909a90"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## 문자열 포맷팅\n",
        "\n",
        "`-` 예시1"
      ],
      "id": "5c046ed8-3edf-4394-ae55-ad7d01c5a1bd"
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [],
      "source": [
        "string = \\\n",
        "'''\n",
        "1. 이름: {}\n",
        "2. 소속: {}\n",
        "'''"
      ],
      "id": "5f293012-2e7a-499b-abcb-2d039a1e6fad"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "1. 이름: 최규빈\n",
            "2. 소속: 통계학과\n"
          ]
        }
      ],
      "source": [
        "print(string.format('최규빈','통계학과'))"
      ],
      "id": "09365fd2-8f3e-4a9d-8bba-cac9ad9ab36d"
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "1. 이름: 통계학과\n",
            "2. 소속: 최규빈\n"
          ]
        }
      ],
      "source": [
        "print(string.format('통계학과','최규빈'))"
      ],
      "id": "96a690a4-ea27-4888-8043-7e7e2dc8bd20"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "`-` 예시2"
      ],
      "id": "0226c43e-657b-4853-ae74-8561c53a1837"
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [],
      "source": [
        "string = \\\n",
        "'''\n",
        "1. 이름: {name}\n",
        "2. 소속: {affiliation}\n",
        "'''"
      ],
      "id": "1e497894-5f5a-4aa3-bdd4-e94e8be05f00"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "1. 이름: 최규빈\n",
            "2. 소속: 통계학과\n"
          ]
        }
      ],
      "source": [
        "print(string.format(name='최규빈', affiliation='통계학과'))"
      ],
      "id": "f06daa44-83bf-4e5c-87dc-5d6eebcfe397"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "1. 이름: 최규빈\n",
            "2. 소속: 통계학과\n"
          ]
        }
      ],
      "source": [
        "print(string.format(affiliation='통계학과',name='최규빈'))"
      ],
      "id": "6270381e-d7fb-4f2a-85a4-4ab9dbdd365b"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## HTML\n",
        "\n",
        "`-` 예제1: 텍스트 출력"
      ],
      "id": "0dd44537-511c-4624-9878-73d3e4b11eb4"
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [],
      "source": [
        "html_str = '''\n",
        "<p> 파이썬 프로그래밍 2023 </p>\n",
        "'''"
      ],
      "id": "80a9ec67-8ee8-42b9-8b04-a04b8636218e"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [],
      "source": [
        "HTML(html_str)"
      ],
      "id": "4c78a6ae-94d7-49d0-936d-3bae46a71dcc"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "`-` 예제2: 텍스트의 스타일변경"
      ],
      "id": "b90dab63-9065-440b-b765-85ed9312b20c"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [],
      "source": [
        "html_str = '''\n",
        "<style>\n",
        "    .title {\n",
        "        font-family: \"Times New Roman\", serif;\n",
        "        font-size: 30px;\n",
        "        font-weight: 900;\n",
        "    }\n",
        "</style>\n",
        "<p class=\"title\">파이썬 프로그래밍 2023</p>\n",
        "'''"
      ],
      "id": "82969341-fe99-4f90-9edb-734c828737e3"
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [],
      "source": [
        "HTML(html_str)"
      ],
      "id": "c63f688f-95b2-4f06-b5a6-7bdac075a7aa"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "`-` 예제3: 이미지의 삽입"
      ],
      "id": "6f95e560-0201-45be-ae14-a8aa4ad343cf"
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {},
      "outputs": [],
      "source": [
        "html_str = '''\n",
        "<img src = https://github.com/guebin/PP2023/blob/main/posts/03_Class/JungGGuckMa.jpg?raw=true>\n",
        "'''\n",
        "HTML(html_str)"
      ],
      "id": "68a765d0-1a7c-407d-8bbe-5c0cbe63abb8"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "`-` 예제4: 텍스트 + 이미지"
      ],
      "id": "ff3cd30d-a29d-45f4-a9bd-cd838622ca9a"
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {},
      "outputs": [],
      "source": [
        "html_str = '''\n",
        "<p> 로그전 패배는 괜찮아 </p>\n",
        "<img src = https://github.com/guebin/PP2023/blob/main/posts/03_Class/JungGGuckMa.jpg?raw=true>\n",
        "<p> 중요한 건 꺾이지 않는 마음 </p>\n",
        "'''\n",
        "HTML(html_str)"
      ],
      "id": "8c3cf71e-bac3-4972-9c14-f2bfaa79c3c9"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## display\n",
        "\n",
        "`-` 아래는 `HTML(html_str)`의 내용을 명시적으로 display 하는 코드이다."
      ],
      "id": "08c81c48-ac48-45c5-800f-8cbe5e6211b7"
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {},
      "outputs": [],
      "source": [
        "display(HTML(html_str))"
      ],
      "id": "8aca9bec-32e4-4ef5-af54-20b979538fcc"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "`-` 이것은 마치 아래와 유사함."
      ],
      "id": "495d0df7-8eca-4dec-b21b-8c31f0b41396"
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {},
      "outputs": [],
      "source": [
        "a=1"
      ],
      "id": "6d108c6c-3497-43f2-811d-faf8c82843fe"
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {},
      "outputs": [],
      "source": [
        "a"
      ],
      "id": "7a5e2d45-18e4-4699-b2d6-8afe3841bd5a"
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1"
          ]
        }
      ],
      "source": [
        "print(a)"
      ],
      "id": "0efb5fe9-f4f2-44e4-b173-7df2355805b7"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# 중요한 것은 꺽이지 않는 마음\n",
        "\n",
        "## 구현\n",
        "\n",
        "`-` 기사처럼 보이도록 html_str 을 선언"
      ],
      "id": "f4dfa1d9-8960-444f-b54a-532266d79502"
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {},
      "outputs": [],
      "source": [
        "html_str = '''\n",
        "<style>\n",
        "    .title {\n",
        "        font-family: \"Times New Roman\", serif;\n",
        "        font-size: 30px;\n",
        "        font-weight: 900;\n",
        "    }\n",
        "    .text {\n",
        "        font-family: \"Arial\", sans-serif;\n",
        "        font-size: 20px;\n",
        "        font-style: italic;\n",
        "    }\n",
        "    .highlight {\n",
        "        font-family: \"Montserrat\", monospace;\n",
        "        font-size: 35px;\n",
        "        font-weight: 900;\n",
        "        text-decoration: underline;\n",
        "        font-style: normal;\n",
        "        color: darkblue;\n",
        "        background-color: #FFFF00;\n",
        "    }\n",
        "</style>\n",
        "\n",
        "<p class=\"title\">RGE전 패배는 괜찮다.</p>\n",
        "<img src=https://github.com/guebin/PP2023/blob/main/posts/03_Class/JungGGuckMa.jpg?raw=true width=\"600\">\n",
        "<p> \\n </p>\n",
        "<p class=\"text\"> Q: 로그와 2라운드 재대결, 어떤 점에 유의해야 할까?</p>\n",
        "<p class=\"text\"> A: 상대팀에 대해서 더 분석할 건 없는 것 같고, 저희가 저희 플레이 잘하는 게 제일 중요한 것 같고 오늘 지긴 했지만 저희끼리만 안 무너지면 충분히 이길 수 있을 것 같아요.\n",
        "<p class=\"title\">중요한 것은 꺾이지 않는 <span class=\"highlight\">마음</span></p>\n",
        "'''"
      ],
      "id": "40d2829b-389c-45ee-938c-2ec78725f457"
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {},
      "outputs": [],
      "source": [
        "display(HTML(html_str))"
      ],
      "id": "396d80b2-e706-42c2-873a-11695aa78420"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## 1단계: 밈의 구상\n",
        "\n",
        "`-` 파이썬 프로그래밍 2023 중간고사.\n",
        "\n",
        "-   <https://github.com/guebin/PP2023/blob/main/posts/03_Class/PP2023mid.jpg?raw=true>"
      ],
      "id": "0c839b9f-df47-44da-8ec7-2dc50a06b579"
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {},
      "outputs": [],
      "source": [
        "html_str = '''\n",
        "<style>\n",
        "    .title {\n",
        "        font-family: \"Times New Roman\", serif;\n",
        "        font-size: 30px;\n",
        "        font-weight: 900;\n",
        "    }\n",
        "    .text {\n",
        "        font-family: \"Arial\", sans-serif;\n",
        "        font-size: 20px;\n",
        "        font-style: italic;\n",
        "    }\n",
        "    .highlight {\n",
        "        font-family: \"Montserrat\", monospace;\n",
        "        font-size: 35px;\n",
        "        font-weight: 900;\n",
        "        text-decoration: underline;\n",
        "        font-style: normal;\n",
        "        color: darkblue;\n",
        "        background-color: #FFFF00;\n",
        "    }\n",
        "</style>\n",
        "\n",
        "<p class=\"title\">파이썬 프로그래밍 중간고사 패배는 괜찮다.</p>\n",
        "<img src=https://github.com/guebin/PP2023/blob/main/posts/03_Class/PP2023mid.jpg?raw=true width=\"600\">\n",
        "<p> \\n </p>\n",
        "<p class=\"text\"> Q: 파이썬 프로그래밍 기말고사, 어떤 점에 유의해야 할까?</p>\n",
        "<p class=\"text\"> A: 최규빈 교수 문제 스타일에 대해서 더 분석할 건 없는 것 같고, 제가 제 코드를 잘 구현하는 게 제일 중요한 것 같고 오늘 중간고사는 망하긴 했지만 저 스스로가 안 무너지면 충분히 기말고사는 잘 볼 수 있을 것 같아요.\n",
        "<p class=\"title\">중요한 것은 꺾이지 않는 <span class=\"highlight\">마음</span></p>\n",
        "'''"
      ],
      "id": "5fbac013-5ba2-4fcf-b488-43c8bb5fe967"
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {},
      "outputs": [],
      "source": [
        "display(HTML(html_str))"
      ],
      "id": "28f74d4e-5168-42fe-b986-7f2bf04e4754"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "`-` 이거 왠지 재미있는데?\n",
        "\n",
        "`-` 밈의 속성을 추려보자.\n",
        "\n",
        "-   title: 타이틀에 해당하는 텍스트\n",
        "-   img: DEFT의 인터뷰 이미지\n",
        "-   Q: 인터뷰질문에 해당하는 텍스트\n",
        "-   A: 인터뷰답변에 해당하는 텍스트\n",
        "-   중꺽마에서의 “마음”\n",
        "\n",
        "## 2단계: 양식틀의 완성 (함수이용)"
      ],
      "id": "672c8580-4dcf-4b5a-a265-4d4c668a0334"
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {},
      "outputs": [],
      "source": [
        "html_str = '''\n",
        "<style>\n",
        "    .title {{\n",
        "        font-family: \"Times New Roman\", serif;\n",
        "        font-size: 30px;\n",
        "        font-weight: 900;\n",
        "    }}\n",
        "    .text {{\n",
        "        font-family: \"Arial\", sans-serif;\n",
        "        font-size: 20px;\n",
        "        font-style: italic;\n",
        "    }}\n",
        "    .highlight {{\n",
        "        font-family: \"Montserrat\", monospace;\n",
        "        font-size: 35px;\n",
        "        font-weight: 900;\n",
        "        text-decoration: underline;\n",
        "        font-style: normal;\n",
        "        color: darkblue;\n",
        "        background-color: #FFFF00;\n",
        "    }}\n",
        "</style>\n",
        "\n",
        "<p class=\"title\">{ttl}</p>\n",
        "<img src={url} width=\"600\">\n",
        "<p> \\n </p>\n",
        "<p class=\"text\"> {Q}</p>\n",
        "<p class=\"text\"> {A}</p>\n",
        "<p class=\"title\">중요한 것은 꺾이지 않는 <span class=\"highlight\">{hl}</span></p>\n",
        "'''"
      ],
      "id": "4d21b10c-fecd-4552-a788-ace953b82b75"
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {},
      "outputs": [],
      "source": [
        "title = '파이썬 프로그래밍 중간고사 패배는 괜찮다!!!'\n",
        "imgurl = 'https://github.com/guebin/PP2023/blob/main/posts/03_Class/PP2023mid.jpg?raw=true'\n",
        "ques = 'Q: 파이썬 프로그래밍 기말고사, 어떤 점에 유의해야 할까?'\n",
        "ans = 'A: 최규빈 교수 문제 스타일에 대해서 더 분석할 건 없는 것 같고, 제가 제 코드를 잘 구현하는 게 제일 중요한 것 같고 오늘 중간고사는 망하긴 했지만 저 스스로가 안 무너지면 충분히 기말고사는 잘 볼 수 있을 것 같아요.'\n",
        "highlight = '마음'"
      ],
      "id": "d7a84cff-4c3d-4212-a3e6-8145d8a4e7a6"
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {},
      "outputs": [],
      "source": [
        "_str = html_str.format(\n",
        "    ttl = title,\n",
        "    url = imgurl,\n",
        "    Q = ques,\n",
        "    A = ans,\n",
        "    hl = highlight\n",
        ")\n",
        "display(HTML(_str))"
      ],
      "id": "cfb1bfa6-365a-4b6a-acf6-284b8dc90a79"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "`-` 함수의 선언"
      ],
      "id": "8a93d2c6-10bc-4e7d-a8c8-36f716481f3e"
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {},
      "outputs": [],
      "source": [
        "def show_JungGGuckMa(html_str,title,imgurl,ques,ans,highlight):\n",
        "    _str = html_str.format(\n",
        "        ttl = title,\n",
        "        url = imgurl,\n",
        "        Q = ques,\n",
        "        A = ans,\n",
        "        hl = highlight\n",
        "    )\n",
        "    display(HTML(_str))"
      ],
      "id": "5f44c562-c3f3-44a7-84d0-55c7eda066ce"
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {},
      "outputs": [],
      "source": [
        "show_JungGGuckMa(html_str,title,imgurl,ques,ans,highlight)"
      ],
      "id": "c1219642-bc94-420e-a99d-a646bc3e1315"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## 3단계: 밈놀이 (함수)\n",
        "\n",
        "### ***t=1 – 밈1: 파이썬 프로그래밍 중간고사***"
      ],
      "id": "07b10576-2467-4e29-ae6a-89cbe1fa0acf"
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {},
      "outputs": [],
      "source": [
        "# 필요한 변수들 선언\n",
        "# show_JungGGuckMa 함수 선언 \n",
        "# 사용\n",
        "show_JungGGuckMa(html_str,title,imgurl,ques,ans,highlight)"
      ],
      "id": "93c4a8e3-408a-47b8-8193-15e503691338"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### ***t=2 – 밈2: 버거킹***\n",
        "\n",
        "ref: <https://i2.ruliweb.com/ori/22/12/03/184d62f98aace2c4.png>"
      ],
      "id": "9ebeb229-1f6e-45b9-8466-92802adae23a"
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {},
      "outputs": [],
      "source": [
        "title = '버거 2개를 골라도 6000원'\n",
        "imgurl2 = 'https://github.com/guebin/PP2023/blob/main/posts/03_Class/burgerking.png?raw=true'\n",
        "ques = '기간: 11월28일(월)-12월4일(일)'\n",
        "ans = '콰트로치즈 와퍼 주니어, 통새우 와퍼 주니어, 롱치킨 버거 최대 42% 할인'\n",
        "highlight = '할인'"
      ],
      "id": "269ec536-a1fb-497b-ab0a-d8061fbc5936"
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {},
      "outputs": [],
      "source": [
        "show_JungGGuckMa(html_str,title,imgurl2,ques,ans,highlight)"
      ],
      "id": "7d40765e-c669-4a97-a67f-ef12890b77d7"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### ***t=3 – 밈1변경: 중요한 것은 꺾이지 않는 “집중력”***"
      ],
      "id": "815b1cfa-23d5-4019-bfa1-7fd931309e23"
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {},
      "outputs": [],
      "source": [
        "title = '파이썬 프로그래밍 중간고사 패배는 괜찮다!!!'\n",
        "imgurl = 'https://github.com/guebin/PP2023/blob/main/posts/03_Class/PP2023mid.jpg?raw=true'\n",
        "ques = 'Q: 파이썬 프로그래밍 기말고사, 어떤 점에 유의해야 할까?'\n",
        "ans = 'A: 최규빈 교수 문제 스타일에 대해서 더 분석할 건 없는 것 같고, 제가 제 코드를 잘 구현하는 게 제일 중요한 것 같고 오늘 중간고사는 망하긴 했지만 저 스스로가 안 무너지면 충분히 기말고사는 잘 볼 수 있을 것 같아요.'\n",
        "highlight = '집중력'"
      ],
      "id": "c5ebe611-d581-4ed4-be8c-3d313fb760b4"
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {},
      "outputs": [],
      "source": [
        "show_JungGGuckMa(html_str,title,imgurl,ques,ans,highlight)"
      ],
      "id": "e22b6ec7-96e8-4941-b718-4bbc3b3f5e78"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "`-` 수정이 아니라 거의 새로 만든 수준인데?\n",
        "\n",
        "### ***t=4 – 밈2변경: 버거 종류 수정***\n",
        "\n",
        "`-` 귀찮아서…\n",
        "\n",
        "### ***이러한 코드의 비판***\n",
        "\n",
        "`-` 변수들이 정리가 되어있지 않고 산만함\n",
        "\n",
        "## 3단계: 밈놀이 (클래스)"
      ],
      "id": "b7f8f7f3-4dcc-446e-98b4-68579054229a"
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {},
      "outputs": [],
      "source": [
        "class JungKKuckMa:\n",
        "    pass "
      ],
      "id": "9645199e-fe8c-4d38-8d16-ad12a74ebf93"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### ***t=1 – 밈1: 파이썬 프로그래밍 중간고사***"
      ],
      "id": "1f8f772b-c5e3-458f-95f0-254f63d55048"
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {},
      "outputs": [],
      "source": [
        "pp2023 = JungKKuckMa()\n",
        "pp2023"
      ],
      "id": "f1a294d3-2068-47b1-a8af-06f46ce919c9"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "*(참고) 여기에서 `pp2023.`을 치고 tab을 눌러도 아무런 변화가 없음.*\n",
        "\n",
        "![](attachment:2023-05-15-11wk-1_files/figure-ipynb/61dddf67-0897-42c4-aa4b-2848b6cd545e-1-db44152d-5dcf-4fea-8070-058e8ece912c.png)"
      ],
      "attachments": {
        "2023-05-15-11wk-1_files/figure-ipynb/61dddf67-0897-42c4-aa4b-2848b6cd545e-1-db44152d-5dcf-4fea-8070-058e8ece912c.png": {
          "image/png": 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Y1FutmMMnFtsnUzipUdrSBTSp8/7VUkiZrr3F9m6t+tQ2dRzRCHzZFAVeBx98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\n"
        }
      },
      "id": "f2c376ae-5fc3-4bbd-b8e7-1db16ac1c0c8"
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {},
      "outputs": [],
      "source": [
        "pp2023.title = '파이썬 프로그래밍 중간고사 패배는 괜찮다!!!'\n",
        "pp2023.imgurl = 'https://github.com/guebin/PP2023/blob/main/posts/03_Class/PP2023mid.jpg?raw=true'\n",
        "pp2023.ques = 'Q: 파이썬 프로그래밍 기말고사, 어떤 점에 유의해야 할까?'\n",
        "pp2023.ans = 'A: 최규빈 교수 문제 스타일에 대해서 더 분석할 건 없는 것 같고, 제가 제 코드를 잘 구현하는 게 제일 중요한 것 같고 오늘 중간고사는 망하긴 했지만 저 스스로가 안 무너지면 충분히 기말고사는 잘 볼 수 있을 것 같아요.'\n",
        "pp2023.highlight = '마음'\n",
        "pp2023.html_str =\\\n",
        "'''\n",
        "<style>\n",
        "    .title {{\n",
        "        font-family: \"Times New Roman\", serif;\n",
        "        font-size: 30px;\n",
        "        font-weight: 900;\n",
        "    }}\n",
        "    .text {{\n",
        "        font-family: \"Arial\", sans-serif;\n",
        "        font-size: 20px;\n",
        "        font-style: italic;\n",
        "    }}\n",
        "    .highlight {{\n",
        "        font-family: \"Montserrat\", monospace;\n",
        "        font-size: 35px;\n",
        "        font-weight: 900;\n",
        "        text-decoration: underline;\n",
        "        font-style: normal;\n",
        "        color: darkblue;\n",
        "        background-color: #FFFF00;\n",
        "    }}\n",
        "</style>\n",
        "\n",
        "<p class=\"title\">{ttl}</p>\n",
        "<img src={url} width=\"600\">\n",
        "<p> \\n </p>\n",
        "<p class=\"text\"> {Q}</p>\n",
        "<p class=\"text\"> {A}</p>\n",
        "<p class=\"title\">중요한 것은 꺾이지 않는 <span class=\"highlight\">{hl}</span></p>\n",
        "'''"
      ],
      "id": "f59f97f3-87fc-47c4-aa3f-6dee495463b0"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "*(참고) 이 상태에서 `pp2023.` + tab 을 하면 아래와 같이 보인다.*\n",
        "\n",
        "![image.png](attachment:2023-05-15-11wk-1_files/figure-ipynb/f435302a-a4cf-4e6f-88d8-870dab5e8fed-1-e7462662-31f7-451c-babb-97fe354c2929.png)"
      ],
      "attachments": {
        "2023-05-15-11wk-1_files/figure-ipynb/f435302a-a4cf-4e6f-88d8-870dab5e8fed-1-e7462662-31f7-451c-babb-97fe354c2929.png": {
          "image/png": 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ggAACCCCQp0AYQIbB5F/+8hfTVymK3mFZySFPUiipqSsVZM2dO9cRKKjTPTz8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\nf+RGVt9/kNU39rOWxR+490wunzc91X/g5AOtcc2xqe2klSU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B5N13320KOFUO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\nYCv23wAAAABJRU5ErkJggg==\n"
        }
      },
      "id": "0a0a5edf-bfd5-4e62-b971-635030c6adf0"
    },
    {
      "cell_type": "code",
      "execution_count": 66,
      "metadata": {},
      "outputs": [],
      "source": [
        "def show(pp2023):\n",
        "    _str = pp2023.html_str.format(\n",
        "        ttl = pp2023.title,\n",
        "        url = pp2023.imgurl,\n",
        "        Q = pp2023.ques,\n",
        "        A = pp2023.ans,\n",
        "        hl = pp2023.highlight\n",
        "    )\n",
        "    display(HTML(_str))"
      ],
      "id": "750b55be-d4cc-4128-bbfa-f55fc2ec37a8"
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {},
      "outputs": [],
      "source": [
        "show(pp2023)"
      ],
      "id": "c3b1c772-29a3-497b-832e-9ce71b7cc44c"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### ***t=2 – 밈2: 버거킹***"
      ],
      "id": "91154ca4-51a5-4edf-a75b-8f72d380949a"
    },
    {
      "cell_type": "code",
      "execution_count": 68,
      "metadata": {},
      "outputs": [],
      "source": [
        "burger = JungKKuckMa()\n",
        "burger"
      ],
      "id": "e49cdf6e-3671-4e00-bbda-6c9904268f30"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "*(참고) 여기에서 `burger.`을 치고 tab을 눌러도 아무런 변화가 없음.*\n",
        "\n",
        "![](attachment:2023-05-15-11wk-1_files/figure-ipynb/2c0f0e4e-49ed-4e08-987b-615bef4e44d9-1-4de3eaea-90e9-429f-b1ed-27adc5c357c0.png)"
      ],
      "attachments": {
        "2023-05-15-11wk-1_files/figure-ipynb/2c0f0e4e-49ed-4e08-987b-615bef4e44d9-1-4de3eaea-90e9-429f-b1ed-27adc5c357c0.png": {
          "image/png": 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sr4HimsLEOIW1ApVuDBVr9beDLum6m9rp/S22P0YQx0jiZpb4vj6m/Y1SDNSb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\ngY4AAAAASUVORK5CYII=\n"
        }
      },
      "id": "76c6e903-3e7f-4bec-8f02-eb296bd7bbf4"
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "metadata": {},
      "outputs": [],
      "source": [
        "burger.title = '버거 2개를 골라도 6000원'\n",
        "burger.imgurl = 'https://github.com/guebin/PP2023/blob/main/posts/03_Class/burgerking.png?raw=true'\n",
        "burger.ques = '기간: 11월28일(월)-12월4일(일)'\n",
        "burger.ans = '콰트로치즈 와퍼 주니어, 통새우 와퍼 주니어, 롱치킨 버거 최대 42% 할인'\n",
        "burger.highlight = '할인'\n",
        "burger.html_str =\\\n",
        "'''\n",
        "<style>\n",
        "    .title {{\n",
        "        font-family: \"Times New Roman\", serif;\n",
        "        font-size: 30px;\n",
        "        font-weight: 900;\n",
        "    }}\n",
        "    .text {{\n",
        "        font-family: \"Arial\", sans-serif;\n",
        "        font-size: 20px;\n",
        "        font-style: italic;\n",
        "    }}\n",
        "    .highlight {{\n",
        "        font-family: \"Montserrat\", monospace;\n",
        "        font-size: 35px;\n",
        "        font-weight: 900;\n",
        "        text-decoration: underline;\n",
        "        font-style: normal;\n",
        "        color: darkblue;\n",
        "        background-color: #FFFF00;\n",
        "    }}\n",
        "</style>\n",
        "\n",
        "<p class=\"title\">{ttl}</p>\n",
        "<img src={url} width=\"600\">\n",
        "<p> \\n </p>\n",
        "<p class=\"text\"> {Q}</p>\n",
        "<p class=\"text\"> {A}</p>\n",
        "<p class=\"title\">중요한 것은 꺾이지 않는 <span class=\"highlight\">{hl}</span></p>\n",
        "'''"
      ],
      "id": "c3c2b1e7-926a-4735-8241-a53b06f9882d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "*(참고) 이 순간은 `burger.` + tab 을 하면 아래와 같이 나온다.*\n",
        "\n",
        "![](attachment:2023-05-15-11wk-1_files/figure-ipynb/10b04e9d-5d30-48d1-aa33-55d4dbe43853-1-a6019b53-4d2f-43a0-8dc3-e1a12ac6d427.png)\n",
        "\n",
        "`-` show() 함수는 재사용가능하겠는데?"
      ],
      "attachments": {
        "2023-05-15-11wk-1_files/figure-ipynb/10b04e9d-5d30-48d1-aa33-55d4dbe43853-1-a6019b53-4d2f-43a0-8dc3-e1a12ac6d427.png": {
          "image/png": 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gAAEIQAACEHAEEBh5ESAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgbwJ\nIDDmjYqOEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAAAiPvAAQgAAEIQAACEIAA\nBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkDcBBMa8UdERAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQ\ngAAEIAABCEAAAhBAYOQdgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAE8iaAwJg3\nKjpCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIIjLwDEIAABCAAAQhAAAIQgAAE\nIAABCEAAAhCAAAQgAAEIQAACEIBA3gQQGPNGRUcIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCA\nAAQgAAEIQACBkXcAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhDImwACY96o6AgB\nCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCCAw8g5AAAIQgAAEIAABCEAAAhCAAAQg\nAAEIQAACEIAABCAAAQhAAAJ5E0BgzBsVHSEAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAA\nBCAAAQRG3gEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQCBvAgiMeaOiIwQgAAEI\nQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQggMDIOwABCEAAAhCAAAQgAAEIQAACEIAABCAA\nAQhAAAIQgAAEIAABCORNAIExb1R0hAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAE\nEBh5ByAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgbwJ5CUwPvf2Mjv3nrn24EuL\nbUVTa9bJ+zbW2w4bDbLjPzHCJo7qn7UvjdVPYINT/lv9m2SHEIAABCAAAQhAAAIQgAAEIAABCEAA\nAhCAAAQgAAEIQKCCCLxyxuQurTanwChx8eCLXs4pLMZXIaHxb0dviMgYB1NjdQTGGjtwtgsBCEAA\nAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgEDZEyi5wHj0n16zu2YuLAjE7psNsYu+PL6gsQyqDgJe\nYDztCxNsSJ86699YZ70bzOrr6qxOW3RfqmOv7AICEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQg\nAAEIlAWBNrPo/9ba1marWsyWNbXZwpVtdtpfXnDLK7nAuPmPn+m096IHJy/G5382yVfJa5CAFxjP\nPnwzG96v3gZFImPfXmYNkbBY50XGGuTCliEAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBA\nqQhIXGyLxMWWqLCi2WxxJC5+sLzVvn35TPfIkguMXiAqdINdXWChz2VceRDw789FR21uIwbU25C+\nddYvEhh71bd7MEYaIwkCEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKCIBCJt0XkwNre2\n2fJIYFy4os3mLm21o//vefeUrup3Oe9g9AJRoXvq6gILfS7jyoOAf38uP3ZzW2dgvQ2LBEaFScWD\nsTzOh1VAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBQfQRCD0aFR50fCYzvLWm1w/+AwFh9\np12FO/IC4xVfn2gjB9bZsChMqvdgjJwYSRCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAA\nAiUgEDkvmvdgnB+FR31nSZsddsFz7klddRDEg7EEB8aUHxHwAuOVx0lgbPdg7Bd5MEbXc5rTFxEZ\nP4JFCQIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQgUg8DqEKlNrWbLV3swvhN5MB56PgJj\nMfAyR4kJxAXGNfrpDsa66A7GSGCMxEX0xRIfANNDAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAA\nBCBQcwTaQ6TKgzESGJvbbN7ytsiDEYGx5l6ESt0wAmOlnhzrhgAEIAABCEAAAhCAAAQgAAEIQAAC\nEIAABCAAAQhAoFIJIDBW6smxbkcAgZEXAQIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQh0\nLwEExu7lzdOKTACBschAmQ4CEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEI5CCAwJgDEM3l\nTQCBsbzPp9Srq9NFm1Fqa9OPMhIEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAALdQQCBsTso\n84ySEUBgLBnaipgYgbEijolFQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQJURQGCssgOtte0g\nMNbaiafvF4ExnQc1CEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgEB3EEBg7A7KPKNkBBAYS4a2\nIiZGYKyIY2KREIAABCAAAQhAAAIQgAAEIAABCECgbAi8+eab9te//tVmzZpV0Jr69+9v3/jGN2zT\nTTctaDyDyoPAsmXL7Oqrr3aL+fznP286VxIEINA5AgiMnePV7b2P+9PT9vhr8zs89/v7bGyfnjay\ng71Yhp/+Y5bd+vR7HaY7cqexdvQu4zvYe8qAwNhT5MvjuQiM5XEOrAICEIAABCAAAQhAAAIQgAAE\nIAABCFQKgZ/85Cc2Z86cLi33gAMOMH2qKUl4vemmm9yW9t9/f1tvvfWqaXsd9nLppZfaQw895Owf\n//jH7cgjj+zQp9oMOmOlaj/baju3ct4PAmM5n060tiMunWHPvb2owyq/veeGdsg2ozvYi2X4wXUz\n7a6Z73eY7kvbjbETpm/Qwd5Ths4KjPoheuWVV7rl6h+OXXfdtaeWznOLQACBsQgQmQICEIAABCAA\nAQhAAAIQgAAEIAABCNQIgQ8++MC+973vpXa7ySabpMr5FoYPH27V5vGm35n++te/Nnn1KcmbT5yq\nWYj61a9+ZbNnz3b71Xtw8sknu3K1fpGYKlFVSWKqfjdeaUnfv0899VTqPS32+vXeT5kyxfQ9XglJ\n36/6vvXCcXzN+v7V93EpvXMRGOPUy6weCozfikTFtQf1cSvcfNQgW2dI35Kt9sX3lticecvd/I+9\nOt9unPGOK1e6wPjoo4+6/wDQZo455pi0/6BwG+RLRRFAYKyo42KxEIAABCAAAQhAAAIQgAAEIAAB\nCECgRwkoLKp+Ia80ffr01O8Je3RRPfzwuLjol1PtImOtCYznnnuuE+d0vpUoqIbfu/4dLUWu974c\nQyDr+1ShncMkwVWfbEliaVwwPeSQQ4r2xwMIjNnol0FbKDD+/YRtbeTQ0omKmbZ7+3Nz7Uc3vOCa\nERgzUapee1ubfkyUZ6qvr3cLa21tLc8FsioIQAACnSTg/3Cik8PoDgEIQAACEIAABCAAAQhAAAJ5\nEAhFimoMc5oHgrQumcRF36maRcZaExgrfb9hSFv/fpYqL8eQueHPrq7uW16NxbpDFoGxq6dR4vEI\njNkBdzZEKh6M2XkmtSIwJlHBBgEIQKA0BBAYS8OVWSEAAQhAAAIQgAAEIAABCIhA+Ev6uMDY1fCL\n8hJSeMVShiMs5inmEhf9s6pVZKx0wc2fT755pe83XH++ey60Xzl6eIY/uwrdlx+HwOhJRPkrZ0wO\natVXRGDMfqYIjNn55NNazgJirvXjwZiLEO0QgEC1EUCArLYTZT8QgAAEIAABCEAAAhCAQHcSCH9J\nHwqMob0r69GdZ6eddlpXpuiWsfmKi34x1SgyhoJVOQpKnn2huQTzDz/8MDX86quvTt3Vp/dU94j6\ntOaaa3YIo+nbyiUv9XmVev5y4VjsdeDBWGyiRZ4PgTE7UATG7HzirZUsJsb3ojoCYxIVbBCAQK0R\nQHSstRNnvxCAAAQgAAEIQAACEIBAoQRCITEUGP/xj3+YPsVIuuMxfudZMeYt1hxJ4qJCQkqQmj17\ntnuMBDft4aGHHko9ttpExmoWlO68806ToNiZJMFR95KWayr1eZV6/mJx1Tq78nsgeS8WMyEwFpNm\nCeaqdIGxubXNfhzd39ga3OP3ic3Wsj02X7sotLoqMB522GH25z//2R555BF78sknXezhrbfe2nTR\naaY4xA8//LDdcccdbv36wat/cOPppZdecvPKvuuuu9rOO+8c7+Lqeu7NN9/sygcffLBNmjTJ/vnP\nf7qxzzzzjC1dutTGjx9vO+64ox1xxBGJl69q3ddff70p/Otrr71m2223nW2zzTZ2+OGH27///W/T\nPErHHXecDRkyxJXjX5YvX+7+0VHfp59+2v01i/Y/efJk039siUmuJI4zZ8503fSDqrGx0V08q/84\ne+6555x94sSJtvfee7u/kBk8eHCuKXO2IzDmREQHCECgxgh05T8yawwV24UABCAAAQhAAAIQgAAE\napBAPgKjxLbOCoQPPvhgylusmOEHi31EmcTFI4880pIElvi9d9UkMibtt9i8e2o+7e3FF1+0fJ1N\n9LuEjTfe2E4++eSeWnLO55b6vEo9f84N5tlBGkFX0mWXXdaV4R3GIjB2QFJehkoXGJetarFdznwg\nDepntxpl39t7ozRboZWuCIwHHnigE9MkyiWliy++2HbbbbcOTRdddJH7B1cNF154oe2xxx4d+tx7\n772mf5iVvvnNb9oJJ5zQoY8MV155ZSpswtlnn23vv/++nXnmmYl999prL7vgggvS2m644Qb77ne/\nm2bzlW233dYGDBhgd999tzPdc889NnbsWN+cyvUfVt/4xjecOJkyxgonnniiEygbGhpiLR9Vv/71\nr9vtt9/uDNr/z372M1OelBQq4stf/nJSU6dsCIydwkVnCECgxgggNtbYgbNdCEAAAhCAAAQgAAEI\nQCAngXwExkIEwlCcKGR8zoUXoUM2cVHTh3sIQ4ZWq8iYab9FQN3jU8jzVOfWmaTfD0+dOrUzQ7q1\nb6nPq9TzFwsWAmOMpBeIYua8q9zBmDeqgjve/txc+1Hkhaj0pe3G2AnTN8h7rnIWGP0mFGNaIqH+\nAuf+++83eR/6dOutt9qECRN81eWlEhg/9alP2Y033uieIWFwiy22sL59+9qzzz7r/gIqLjDqH4pQ\npJPHof7CSl6P8opUHqYkgVH/UbXPPvukuomFnqNcf+Xyr3/9K9V2yimn2Fe/+tVUPV4IBcbPfOYz\nzqtSfTSXPDPlJam9aF0IjHF61CEAAQiUjgBCY+nYMjMEIAABCEAAAhCAAAQgUFkEalVgzCUu6hSz\nCSzVKDJm229lvdX5rbbS9xuuXx7G+j14MZN+164wwUqhwF7MZxRjLgTGGEUExhiQWBUPxhiQWNW/\nP1ceN9FGDqy3NfrVWb9eddar3qJYxNEn1l9hRMMLbBV+9C9/+YuNGDHC9Vy1apXJW8974u2///52\nzjnnpM1SKoHRP0RCnrwfvXeeXNkVklUx0ENPSIVUffzxx92wz372s3b66aeb9zCcM2eOC/P63nvv\n+WktSWD84he/aP/5z39cH3l0yutQ4qZPjz32WBovhYf1rHwfn4cCo2ya59xzz00LD7tixQrntSlP\nyj333NMPLTj3jFpbWwueg4EQgAAEaoUAQmOtnDT7hAAEIAABCEAAAhCAAAQyEahFgTEfcVG8QgEn\nSWCpNpEx134zvUOVaq/0/YbrL/UZJL3/pX5mvvMjMMZIeYEoZs67igdj3qgK7ljNHox/+tOfOvy1\nw7x582yrrbZK8VIM9ZEjR6bqpRQYf/7zn5tEv1xJ9yTK41FJQp6EQHk7hklejArP6lNcYLzrrrvs\n6KOPds26G/Haa6+13r17++6p/PLLL7df/OIXri7xNRQ5U52iQlxglPenfhiXMnlBtaWlpZSPYW4I\nQAACBREoZ0GvnNdWEGwGQQACEIAABCAAAQhAAAIQyINAoQLjsmXL7M4777QpU6bYeuut1+FJofhR\nTiFS8xUXtaFwD5kElnIXGbXfm266ycaMGWMHHHBAh3MKDfnsN+z/j3/8w+TUIYeUpHcg7FuO5c7u\nt9z2IP76dEfSu5Pr/emOdSQ9A4ExRgWBMQYkVq10D8amllb74fUzTZd9+rT7ZmvZnhPbPQa9rdDc\nvz+FeDAqdKe897xIFa7h2GOPTXkx6h/OXXfdNdVcKoFxnXXWsfvuu88aGxtTz8pUkNflqaee6poP\nP/zwVDnsr5CkEg59iguM8la84oorXPNvfvOblGDp+/t8wYIFNm3aNFfVnZTaf1KSwChPSyX9AP7t\nb3+b1K2oNn92CIxFxcpkEIBANxLoSaGvJ5/djYh5FAQgAAEIQAACEIAABCAAgRSBQgVGiYtXX321\nExiPP/741Hy+EIo35SQwHnfcce7aIr9OhZVU5LSkFO4hk8CocUki43nnnZc0Zbfbwv1m26sWlu9+\n1Tfcs67ZKpf9am35JkWae+qpp1x3CeVJ73G+c/VEP4n8+h5UKNNSJr03ioCocy7HhMAYOxUvEMXM\neVfxYMwbVcEdu+LBWPBD8xzo359CBEaJhvrHISn9/ve/T4VGlffeF77whVS3UgmM8lyUB2O2pHCp\nSmeddZZdeOGFrqx/DBUiNSnpPkV/p2RcYJQwqTsnO5MkyirMbFIKBUaFld13332TuhXVhsBYVJxM\nBgEIlCmBUguBpZ6/TLGyLAhAAAIQgAAEIAABCECgBgkUKjB676lMwlsoVpWrwFgqwU2/L9TvKssh\nhQKj1pNtz+GZZTpXzRGKi6r369fPzj//fBUrKs2YMSMljH7jG9+wqVOnVtT6WWw7AQTG2JvgBaKY\nOe8qAmPeqAruWK0C40EHHWRnnnlmIpfQQ1DC2Xe/+91Uv1IJjPqPj2OOOSb1nHjBi4uyf+tb33Lu\n/irrH7lddtlFxQ7psMMOM4V4VYoLjFtvvbV9+OGHHcbkMrz88suJXUKB8ZprrumWf6QQGBOPAiME\nIFDFBEolBpZq3io+CrYGAQhAAAIQgAAEIAABCFQggc4IjN5jSr8/++CDD9xHXk0Kj6k8DJUZilXl\nJDAqZKjE0U033dSmT5+e9cTCPWQT3PwkmlfzK5JZuYQM1Xq0D0V28ymTyJjPfpPExZNPPrls9uv3\nmG+ud1qf4cOH5zukYvvpXbjsssvc+iWoVsueERhjryQCYwxIrFrpIVJj2yl61b8/hXgwHnrooXba\naaclrknu1j/84Q9dm8IG+LIMpRIYFVLU36sYLioUFr1d9yDqjkOlP/7xj7bjjjv6prQ8SWD08225\n5Za2dOlS119Caz4/ZBW+Vf8oJ6VQYJSY2R3/YYHAmHQS2CAAgVoiUGxhsNjz1dJZsFcIQAACEIAA\nBCAAAQhAoPwJdEZgDPsm7Sy8py0Uq8pJYExadyZbuId8BMZM8/S0PV+RMdd+K0FcVLjQ7ggZmun3\nwT191tmeH56fxHWFPa2GhMAYO0UvEMXMeVfxYMwbVcEdq9WDce+99065hcfh/N///V/Ku1F3HYbf\nuPkIjDfffLOdeOKJbtpvfvObJkEwKV155ZUpkfPss8+2Aw88MK2bFwPTjFHl17/+deouRIUg+PSn\nPx3v4ur77LOP6T+GlO6++24bO3asK+uLxMxnn33W1bXeCRMmpNo6U/BrVAgCfwfjvffea6NHj+7M\nNAX17dWrlxvX3Nxc0HgGQQACEOhuAqUU8Io1d7Hm6W62PA8CEIAABCAAAQhAAAIQgEAuAqFoGAqE\nPgSqxnuBUJ5eurNO3osaN3v2bFM40B122ME9RqKFv6ctFKv8+FxrKbf2cA+VLDCKaz4iY7b9huKU\n5lNY1HLzXJSwqHV2R5IDTqWJjNnOtzuYleoZoU5RyDO8V2chY5PG6EI33erW3Gq2vLnN5i1vs3eW\ntNqh5z/nundVv6uLxIf2S+OSnh7ZEBgzgFltrnQPxtbo9B948QNrVWF1Gr/WABs3vDiXpPr3pxAP\nxokTJ6bCjPq1+fynP/2pXXHFFa56wQUXmO4y9Omqq66yH//4x64qoS/p/sOLL77YzjjjDNenUIEx\n27fOn//859QaFFb1pJNO8stL5U1NTTZt2rSUl2JcYNR/7Nxwww2uv36w7LTTTqmxYSHbOsJ+xRAY\nL7nkErv++uvDae3LX/5y2h2YYSMCY0iDMgQgUA0EiiHulcsc1XAe7AECEIAABCAAAQhAAAIQqC4C\nnREYw517ATKT8BaKGQiMIbmeK+cSGcMzC8+1EsRFUQ3XX2rKU6ZMseOPP77Ujynq/CGf8HyL+pAe\nmAyBMQbdC0Qxc97VriqgeT+ohzpWusC4bFWL7XLmA2n0PrvVKPve3hul2Qqt+PenEIFRz/z3v//d\nIZRnS0uLbbvttqn7CW+66SaTGOnTP//5T5OYppRJPNQ3uubO1kdtmTwYc4l6jz32WMqtW3859fDD\nD5sX2zSvxktQPProo1V1KS4wSgTVD1qlPfbYwySk5nqu65zhSzEExl/+8pcu5Gv4CMXI9t6goV1l\nv2c8GONkqEMAAtVEoFDBsNBxnl1Xx/t5yCEAAQhAAAIQgAAEIAABCJQLgUIFRu8tls99fgiM5XLa\n2T0ZkwSoShEXRThcvzwsi31dlQRaf5dlJQp0IZ9KXH+m7yIExhgZLxDFzHlXERjzRlVwx66ESC13\ngVGxl3/xi19Y+EvU6667zoVCEDBdgKy7DsP2GTNmpLwW9YNbwp2/C1BjwnbVM4mQaksSGPMR+dRH\n4VSfe67d1Vgi3Le+9a2UQLhgwQL74he/6EI36DlKcYFx4cKFzmvR38OosLC77rpre+fYV4WEkLC6\nzTbbZAx9mktgzGdfp59+ul1++eVpT9dfx2QKMas7IZXkrUmCAAQg0JMEwn8nSrmOQp5TyBi/h66M\n9XOQQwACEIAABCAAAQhAAAIQKBcC+h2Xfo+mpHzq1Kmu7D0UVUkSCDVO4qR+Fzh8+HA3JvwSihlJ\n48O+5VoO91BNgkwmT0aFvlXYWyXtV+ca3mdYjmFRw3en1OdV6vnDvXS1rDOWk5C+T32SzdcVyjgU\nYFXff//902x+XLnnCIyxE0JgjAGJVfFgjAGJVf37U6gHo6Y76KCD7OCDD3Yx0++7777U3YtqO++8\n80x3NYZp1apVLub0hx9+6My77LKLHXvssc6b7plnnjGFVw1TvgLjb3/72w53MIbzxMu33367ff3r\nX0+Zd99995Rg+Le//c1ef/31VJsKocDoxT6Jqaecckqq3yGHHGKf/OQnbcyYMe4vVN544w2Tt+Q1\n11zjfiArPOzWW2+d6h8WcgmMYd9MZQTGTGSwQwAC1UqgKwJeZ8d2tn/IvCtjw3koQwACEIAABCAA\nAQhAAAIQ6GkCEgr1e73wTrlcAmOuNYdiDAJjLlrd354kMmZbRbmLi1p7+M6VQhAu9fzZ+He27dxz\nz7Wnn346uqYtuggwj1RfX29bbrllxYV91dYQGGMH7AWimDnvKh6MeaMquGO1ejAqtKgXCZPg6K8Y\nJPqF3om+34UXXmi6fzFT+tKXvmQS45RKJTBqbq3jrLPOUrFDmjx5sq2xxhp2zz33uDYJjOFfasio\ncLBnn322yXsxKXkh0rdpT/JiTEoIjElUsEEAAhDoPIHOinmd6d+ZvuHKCx0XzkEZAhCAAAQgAAEI\nQAACEIBAuRJAYCy9YNXTZ5+vyFgJ4qJYlloALPX8xXwf4qFt85k7U7jjfMb2ZB8Exhh9BMYYkFi1\n0j0Ylze12M5npN/BeNDWo+y7e/XMHYxPPvmkfe5zn3OUFQZho402sh/84Afmw4R6/LrzT6E59dcM\nSUnC3Pnnn2/nnHNOWvM666xjP/rRj5w35OGHH+7avvOd76TubEzrHFUk2P34xz92Zs213377xbtk\nrUsAvOOOO0wei0888YTbx7hx45wnowS/k08+OXUXpDwRhw0bljjff//7XzvttNNSIVfjnaZNm+Y8\nOQ844AAbMmRIvNnVFcZUYVSVHnjgARsxYoQrd+aLRNtLLrkkbYjm9aEr0hqiSu/evZ1JXqUkCEAA\nAuVEoJiCXGfmyqdvPn2SWBY6LmkubBCAAAQgAAEIQAACEIAABMqJAAJj6QWrcjjvXCJjpYiLYllq\nAbDU8xfzfVAo1KeeesoU9tanBx98MOVcJEejHXbYwTe5391LYFSo1EpLCIyxE0NgjAGJVUOBMWw6\nZd+N7VNTR4amopZ/ftMsu/m/73WY80vbjbETpm/Qwd5TBv/+5BsiNWmdcp1++eWX3Wfs2LEu5nav\nXr2SunawzZ8/31588UWbN2+eTZo0yUaNGtWhTy5D3EswV3+1J42R6CmhdPDgwakp9tprL7cvGV56\n6aWUPSyEc+niXoVFfe2116xv375OJBw5cqQNHTo0NSTsnzL2UAGBsYfA81gIQKBoBDor2uXTP58+\n2kC+/cLNFjImHE8ZAhCAAAQgAAEIQAACEIBAORJAYCy9YFUu555JZKwkcVEsQwEwfsdgMViLk7/D\nsBQhWIuxxmxzhHwqcf2Z9laIt6afqxRem23R5JEPlDVH0WmXN7fZvOVt9s6SVjv0/OfcY7sagbQu\nEiP0jIzJC0QZO+Ro6OoCc0zf482ZBMZv77mhHbLN6JKt7wfXzbS7Zr7fYf5qFBg7bLIbDTm+PRJX\nks8Y9Zk7d27qLzM233xz+/vf/56aL5851DnffqmJCywU+pw+ffq4J65cubLAJzMMAhCAQP4Euktc\ny/c5ufrlatfO8+kTJ1TImPgc1CEAAQhAAAIQgAAEIAABCJQTgVBg1BVDnfVsCsUY7mAsp5NNXktc\nZKw0cVG7CgW05F0WzzplypSKu68w5FNNAqNE36uvvtoeeuihTh2wxMXPf/7znf7ZlushCIy5CPVw\n+zNzFtrcRR3Fk4mjB9u6Q/qWbHWz31tib364rMP8G40YaOOGl4/rsBeou+LB2GGT3WQoRFQLx8jz\n8pprrrHdd9/dhg8f7lbt2+XNqFCt1157rbOfdNJJdtRRR+UUDP34ziAoZExn5s/WF4ExGx3aIACB\nciRQiDiXa0yp25M45npm0hhsEIAABCAAAQhAAAIQgAAEypVAKDB2dY3nnXde0X+J39U15TM+9Iwq\nhadTPmvozj4SGXXuSroWSsJyJSUJTDqz7khHHnmk6Z2opFStAmO5nQECY7mdCOvpFIFKFRgLEeXi\nYyQi6q8vlCQyTp482QmNCtt622232bPPPuvadBei7mnUX+Ikpfi8SX1ky7dfpvGlsCMwloIqc0IA\nAj1BIF/BLlu/Qtu032xjM/EoZEymubBDAAIQgAAEIAABCEAAAhDoSQLyCjr33HNt9uzZXVqGPISm\nT5/epTl6arD3jNLzS+Hp1FP7qubnSmScMWNGKpRpsfcqT96pU6dWnLgoDuEfDeh7Uu80qfgEEBiL\nz5QZu5FArQiMSeJeKDBmQj5mzBj73e9+5+6HDPskzdeZ9rCvyrnmi/cvVl33RCqtWLGiWFMyDwQg\nAIGSEeisIJerf6b2THZtrNC2JCjZ5krqjw0CEIAABCAAAQhAAAIQgAAEIAABCHQHAQnmoYdqZ8Me\nd8caq+EZCIzVcIo1vIdKFBg7K8Zl6i+7fkg+/vjj9uSTT9o777zj/lpFHoubbrqp++uSr3zlKx08\nF7PNl+tVyjQ217hitcef770yly9fXqxHMA8EIFCDBHpaKMvn+Zn6ZLLrGDO1ZbJnG5Pptcg2V6Yx\n2CEAAQhAAAIQgAAEIAABCEAAAhCAAAQqnwACY+WfYU3voNIExrhAluvwsvVPakuy+WcktSXZ1F/2\nTG1+vjDvTN9wXFfL/i9P9BcpJAhAAALlTqAzYpz6ZuqfZE+yiUdn7dnGZOKb6RmZ+mOHAAQgAAEI\nQAACEIAABCAAAQhAAAIQqHwCCIyVf4Y1vYNqFhiziXaZ2pLsSbbW1tbE9yapb9gxV3vYN1u5WPMM\nGDDAPWbp0qXZHkcbBCAAgZIQKJawlmueTO319fUd9pXUN8mmgZnsudriD802T7wvdQhAAAIQgAAE\nIAABCEAAAhCAAAQgAIHqIIDAWB3nWLO7qCSBsTOiWra+SW3ZbGFbWA5fms7a8xkb9ilVGYGxVGSZ\nFwIQKBWBfMS4TH3ysfs+Pg/3ka/Nj0nq79vieWf6xsdShwAEIAABCEAAAhCAAAQgAAEIQAACEKg8\nAgiMlXdmrDggUCkCYyYBL9hKWjFT/yR7JlvcnqvuFxDv5+3Ks7WF/Xy5s/39OHIIQAAClUygs2Jb\ntv6Z2uL2pHrcJqb52jL1zXYuSXNn608bBCAAAQhAAAIQgAAEIAABCEAAAhCAQOUSQGCs3LNj5RGB\nahQYM4lySfa4TfUkW/iyxNvVlmTLZvfzZRrn24udd/fzir1+5oMABMqTQHcLY7mel6k9yR63JdWT\nbPGTiPfx7Znsvj3MO9M3HEcZAhCAAAQgAAEIQAACEIAABCAAAQhAoPIIIDBW3pmx4oBAtQmMmQS0\nJHvcpnqSLcCVV3t8Dj8+k923+zzffr4/OQQgAIFqJpCv6Japn+zxtkLqucboDOJ9/Llksvt2n+fb\nz/cnhwAEIAABCEAAAhCAAAQgAAEIQAACEKhcAgiMlXt2rDwiUAkCY76CW7Z+8baw7ss+9y9GWA/L\nam9tbXXdQntYTprD25Qn9Q3bk8qFjEmaBxsEIACBciRQiLiWaUySPbT5cn19fRoKb5cxLIf10B6W\nwz4qx1O8b7zd1/Pt5/uTQwACEIAABCAAAQhAAAIQgAAEIAABCFQmAQTGyjw3Vr2aQFxgHNa3zvo1\n1llj9DvXOvVxX3oWV77CWqZ+SXbZQnumsnYe9g3Lnko41vf3bT6P9/F2n+dq9/3IIQABCNQygVzi\nW1J73JZU9zblvuw5h/V4Oawn9fc25Ul9w3Zfzref708OAQhAAAIQgAAEIAABCEAAAhCAAAQgUKEE\nIoVRImNT5M+0vKnN5q9os3eWtNqh5z/nNvTKGZO7tLG6SHjQ/BmTF4gydsjR0NUF5pie5jIn4N+f\nK74+0UYOrLNh/eqtXy+zXvV1Fv2/x1OO1z+1vkz9kuyyhfZMZU3e0tKS8Rl+XDz3A7zd132eye7b\nlefTJ+xPGQIQgEA1EshHbMvUJ2739XjuuXm76g0NDd7s8rAtXg7rflCSTW2Z7H6cz/Pt5/uTQwAC\nEIAABCAAAQhAAAIQgAAEIAABCFQmgdZIAWyOvixvNpu/vDUSGNvssAsQGCvzNGts1V5gvPzYzW2d\ngfUmD8b+kQdjQyQu6hecPa0x5iu0ZeoXt6se2jKVFQI1qU02Hx7VvyphP9ni9dAWb4vX/Zy58kLH\n5ZqXdghAAALdSaBQIS0+ztd9Hu4hbovXFSbV23yu8SqHIVTjbf4ZsodtfqxvD/N4v7AtLOfbLxxD\nGQIQgAAEIAABCEAAAhCAAAQgAAEIQKCyCMi7UL/rb4kKy1Z7ML4XeTAe/ofn3Ua66iCIB2NlvQ8V\nt1ovMF501OY2YkC9DVGI1NUejBIXo9+b9ljKV0TL1C9uVz20hWVtMtUe9Jv51KM9tn8eDAEIQAAC\nPUNgsynbuAc7oW+1gBgX/cK6ymFdg+N1v5NMdt/u83z7+f7kEIAABCAAAQhAAAIQgAAEIAABCEAA\nApVFIJIiXIhU78G4MAqROndpqx39f90kMG7+42dshQK0FpD6RhftPf+zSQWMZEi1EPAC49mHb2bD\no/Cog/rUWd9IYCwHD8a4AJiJeaZ+cXtb5JXoU4c2iYr6XyAuqu97Lzzmh5BDAAIQgECNEFhnwtap\nnUroc5/Ipz8u+oX1usgTMkxhWz72sI/KmcbH+1GHAAQgAAEIQAACEIAABCAAAQhAAAIQqEwCoQfj\niihE6uKVbfZBFCb125fPdBsquQfj0X96ze6aubAgertvNsQu+vL4gsYyqDoIeIHxtC9MsCGRuKjw\nqL2jq6fq9QtVbbHMPRjjQmHqVCT9B6m17SNxUeZwnBceQ3FRNtUb3nnKzbLL/ccFs1VecaOVV1fe\nolkxBCAAgW4mcPH0ee6JLSOntIuKq0VDiX1e8AuFRG/zy6yvSxcZo0G+KS2Pj0trXF3Jp0/SOGwQ\ngAAEIAABCEAAAhCAAAQgAAEIQAACFUJgtQdja6RFrGppD5O6MBIZT/vLC24DJRcYn3t7mR180cud\n9mKU9+Lfjt7QJo7qXyGkWWYpCHiBsRRzd23OdIEw41wxITGpX7uYGMwXjkmV9Z3c3qfNiZGqm126\n70o3JQJjEllsEIAABKqLgBcYj7ylz+o/sJGwuFo0dGLhasEwFA7DcoKXYyKhtDGJPVYbkwXKbCNo\ngwAEIAABCEAAAhCAAAQgAAEIQAACEKgOAiUXGIVJIuO598y1B19anFNolLC4w0aD7PhPjEBcrI53\nrEu7qGiBMSUOZkfQLhgGfVLj2kVEpyQ6m7+jcbU9Ehov3a/JDURgDPhRhAAEIFClBFIC482NkcAY\nCYtO3/Pei1HFi4yr7Q5DTCxMCZK5GMXGJXdHYEzmghUCEIAABCAAAQhAAAIQgAAEIAABCFQ/gW4R\nGKsfIzusNQJhCNNMe8/UJ7SrHK9rvtCucuvq+xmV6+Nt//3vf93jERgznQJ2CEAAAtVDwAuMkydP\ntvooPKrClCrXR8nbVFabD2Pq87jd15XHUzgm3ubr+fTxfckhAAEIQAACEIAABCAAAQhAAAIQgAAE\nIBASqIuEjsidigSB2iGQ7yuf1C9u88Khp+fbvV31sNzSEgU6jpJsKj/zzDOujsDoMPAFAhCAQFUT\n8ALjpEmTrKGhISUsquzFvlBk9MKjb/NwvN3X4+2yJ9l8/zDPt184hjIEIAABCEAAAhCAAAQgAAEI\nQAACEIAABBAYeQdqjoAXAbNtPFOf0K5yvK45Q7sXFGWTqKhcNl9/9tln3TIQGLOdBm0QgAAEqoOA\nFxi32GKLlLeiFxdDYVE2JYl/XgD0edzu68rjKRwTb/P1fPr4vuQQgAAEIAABCEAAAhCAAAQgAAEI\nQAACEPAEEBg9CfKaISBxL1dK6hPaVI7XNWdoV9l7L4aiomzeg3HmzJluKQiMuU6EdghAAAKVT8AL\njJtttlnKg1HCohcXvbDo69qxBEAvAvo8bvd15WEK+4f2sJxPn7A/ZQhAAAIQgAAEIAABCEAAAhCA\nAAQgAAEIiAACI+9BzREIhcFMm0/qE9pUjtc1V2j3HouyeVHR5xIc9Zk1a5ZbAgJjppPADgEIQKB6\nCHiBcdNNN3UCowRFLzD6XIKfPqor+bovO2PMHm8L+/hyphyBMRMZ7BCAAAQgAAEIQAACEIAABCAA\nAQhAAALZCCAwZqNDW1USCIXBTBtM6hPaVE6qe5tyLzAqV1Le3NzsxilXffbs2a4NgdFh4AsEIACB\nqibgBcZNNtnECYi9evVyAqJyLygq9wKjF/+8yOjrguRtHljYls3m23yeNM63kUMAAhCAAAQgAAEI\nQAACEIAABCAAAQhAIBMBBMZMZLBXJQEvAGbbXFKf0KZyvK75QrvKocCosv94cVH5yy+/7JaCwJjt\nRGiDAAQgUB0EvMC44YYbmhcVfe49GLMJjKIQCoKIjNXxXrALCEAAAhCAAAQgAAEIQAACEIAABCBQ\niQQQGCvx1FhzwQRCYTDTJEl9QpvKmeq+TXkoMKqukKiy+fCoTU1N9uqrr7plIDBmOg3sEIAABKqH\ngBcY119/fWtsbEwLk6pwqRIM4wJjKCKGZVFJqsdpqU+ulE+fXHPQDgEIQAACEIAABCAAAQhAAAIQ\ngAAEIFBbBBAYa+u8a363oTCYCUZSH2+L55pDNv8J66HAKFFRfeS16AVG5QiMmU4BOwTKk0Bb80pb\n8dZ/3eIaBg633sM3KM+FsqqyJBAKjBIU/ceHSvV3Mkrw80KjF/+U+4/fXNgmm6/79ky2sD3fPvEx\n1CEAAQhAAAIQgAAEIAABCEAAAhCAAARqmwACY22ff83t3guEmTae1B7aVM5U923KJS4qeZFRYmLo\nvSihUZ/XX3/d9SuZB+Ow0Va3/y8iFbTV2v7+A7NF77nnFfvLRiuvLvaUzAeBsiTQsmy+LXz0Cre2\n3iM2tYGb7VWW62RR5UnAC4zjxo1zIVIlLHqRUYKiyhIJVVYKRUYvHir3ZfVJqsseprB/aPflXO2+\nHzkEIAABCEAAAhCAAAQgAAEIQAACEIAABDwBBEZPgrwmCITiYNKGk9pDm8qZ6r5NuRcWVfbei95z\n0XsxKn/jjTfcMkolMNYf8Wez9aa6Z7S9/IC1XXVU0ra7bENg7DJCJqgQAhUvMLa22Lz7znW0ew0d\nZYOnfK5CyFfHMr3AOHbsWCcwSlAMRUYJfV5kVBmBsTrOnV1AAAIQgAAEIAABCEAAAhCAAAQgAIFq\nJIDAWI2nyp4yEgjFwaROSe2hTeWkurf5dgmM+iiF3ouyee9F3cE4Z84c16d0AuNVkcA4zT2j7aX7\nre3PR7tysb8gMBabKPOVK4HW5QttwX8ud8vrM3ILG7DJbuW61MR1tUUC4/zVAmPD4BE2ZNrnE/th\nLA0BLzCOGTPG3cEocVEf773ocz1d5VBglE2io/+orpRUb2/56Kv6ZEu52rONpQ0CEIAABCAAAQhA\nAAIQgAAEIAABCECgNgkgMNbmudfsrr0QmAlAUnto8wKiH+9FRG8Pc7WprlwfCY3ee1HiospvvfWW\nm6pUAqP5EKktTdZ206lRiNS5fulFzREYi4qTySBQMgIIjCVDm9fEXmAcPXq0ExYbGxudx6L3YgxF\nxVBc9CKiFwLV5pNvC+u+7HM/ztfjea72eH/qEIAABCAAAQhAAAIQgAAEIAABCEAAAhBAYOQdqCkC\nEvyypaR2b1Puy5ojrPuyz+PiohcZvfeiz0suMGbbbBHbEBiLCJOpIFBCAgiMJYSbx9RxgdF7MHov\nRi8wenHR515E9EKgr/tHhnXfx7cpT7J1pj3sSxkCEIAABCAAAQhAAAIQgAAEIAABCEAAAiKAwMh7\nUBMEQmEw24bj/cK6Fw/9+LDuyz6Xt6KSFxZ9mFQvLCqXF+M777zj+pXMg9HNXvovXREYt11/oH1h\nm+G2TZQP6ddgjQ3tofyWrmy1txessodfXmw/v+XtjJs474vjbJMR/SySf+3gi1627aJ5Dv/4Wrbp\nuv2sf+96W9XcZm/OW2lfveJVmzNvVcZ51DBmWG8787Pr2Raj+lu/aGx9tBRp0iuao7XMX2W3PLPA\nLrn/fVve1B7+NutkNFYFgbaWZlv++iPtL0JsR72iEKO9194kZk2vLn3xnmhsq9X3GWT9xm1jTR++\nZqs+fN2a5r1uCrfaa8hIa1xzvPVTKOO6j7zS0mdpr+n+xxVvPWXNi96z1mULrK1lldX17m8N/YZa\n47Ao5GY0T6/B66QNbWteZcteeSCyrf7jimgtK9+d6frUNfS23iM2TuuvSu/hG0Zzjetgb2taYU3z\n33Drb1n6YWoNDQOHW8PAta3XoLVMYWPr6nt1GCtD07xo7P9ecm19R02O1t7PVr03y5oWzIm4vB4x\nGhjxWNdxahgwPHGOuHHVB69Ea3rTWpZ8YC2L/+eYNAyK1hJx6DNyovWK1pUtrXp/djR+jjUvfj8a\n/77V9xsS7WOdaP9jrc86m2UbWlCbFxhHjozOPfJejAuMun/Ri4x6QHgfY1xEDEXDsE3jwrakumxJ\nKT4uqQ82CEAAAhCAAAQgAAEIQAACEIAABCAAAQiIAAIj70FNEJDwl0+K9wvrXjz084R1X5agqCRB\nMbSp7j8SFlXuDoGxbttDrW6vU9ya2q450dpm3uHKxf5SqMC4z6Sh9vvPj8u5nLcice8zF7xoHyxp\n7tD3yR9NtKH92wWN397xrn1nj3U79JGhpbXNDjzvRZv57vLE9s9ttYad+Zn1EttC4/F/ed1ue3ZB\naKJcxQTampbb/AcvStxh7xGb2sDN9kps88Z5957jig0D1rC+Y6bZ0ll3+qa0XILeoC0OkDKUZveV\nFW8/bctevNdXM+Zr7PrNtLbWlUtswcOXpNlyVfqN3z4S+bbu0M3vpUNDYJC4N2jzfZxQF5hdcfmb\nT9jyVx505QGbTrcVc560lqXz4t1cfdDkzzjRNLExMrauWhbxuCcSLF/O1MXZB272yUhE7SgC61yX\nzLrLmiKBMlNqXGtDGxits65Xn0xdOm2PC4wSEH2YVJW9wOgFQ9WVQk9G1X27ykpJ9faW9q/5Cof5\n9gvnpgwBCEAAAhCAAAQgAAEIQAACEIAABCBQmwQQGGvz3Gtu1xL78knxfmHdC4Z+Hl/3uexxgdF7\nMCqX16Jyf/+i8nfffddNVyoPxrrtj7C6PU5yz2i77tvW9tw/XbnYXwoVGPefPMx+d/BYtxwJgBIQ\n34m8Flc0tdnIoY02ds2PfrG/aEWLTfnpsx2WHgqMvlF934q8FYcP6mVrD2r0ZnvqzaX22T+0e1Cl\njFFBno5PnzbJeSzK3tzSZs++vcytZ61o/KhoLcqVTrj6dbs18mQk1QaBtuj+0nZRsP1nSFvzysgT\n7023+c4IjCEtCVcNfQdb88J3I2/E9p8Bah+05YHWuMa4sKsryztv4eNXpezO6zHqV9fQy1pXLLLm\nJf+z5gXtXr5xgdF5ML58X2qsPBnTPBjX3ihoay/2jtYnb8h48gKjPB97DR1lDf2HWV1jv0jsW2Kr\n3n/J2iLRT0ntQ7c/soMwFwqMfm4Jr72Gjol+eDal1qW2hsg7dMi0z/tuabnOZMF/Lk89T42Na4yN\nvCjXcv1aln7gPCJVkZDZZ93Nnd1/kVfqwkf/aBJffeq9zgTnCSqebi+Rd6iSOAyaFAm/RUpeYFx3\n3XVTHowSGCUgxsOkSuwLBUYtwQuJPvfLSqr7Nj8urGcqax4SBCAAAQhAAAIQgAAEIAABCEAAAhCA\nAATyIYDAmA8l+lQ8gVAozLaZeL+wHgqJmsPXk3IvLKpN3oqqhx6MPlRqrQuMO2082M763Hp2xcP/\ns4vui0IURiJjmLYc09+uO3bjlPB30rVv2g0z0j2e4gLjVf/5wH7yj7dS0/xkv1F26PbtwoN05k1O\nfbrDc76249r2/b1HujEKzbr9Gc/bkpXtYW79RBuu3dd+uM8ok5fkc5H4SKpNAgpTuvDRK9zmOysw\nKpypRMRU2M7ohVz60r228u1n3HwSHgdN3LcD2OWvPRKFaX3U2fuut5X132CHDn0UslTCWL/x23Zo\nCw1duYNx8dM3uJCwCgsrcTNMEu2WPHezC4Mqe/8Nd3Qem2GfuMDYZ/SWNmDDnSPVrD00bMhW44Z8\n7Isp0TCcZ9mrD9uKNx5zJsd04n4utGrYR0Lh0tl3R+vduIPAKJZiqqTwrgOj8Q1RaFSfWlcstsXP\n3JjyrpTAmCS4+v6dyUOB0YdHDT0YJTRKVJTQ50OlevEwKffP9m1h3ZeVqz2flG+/fOaiDwQgAAEI\nQAACEIAABCAAAQhAAAIQgEB1E0BgrO7zZXerCUjoy5WS+oQ2iYQ+ebvypE8mgdELiz6vdYHR88yW\n647FT04c6rrcN3uRHfHHV9O6hwLj3EVNThwMO+gexZk/3zJ1t+Oev5tlL7+/IuxivzloPfvUlDWc\nLZOXY9oAKjVLIBTBOisw9t/4E9Z31KQ0dq0rl0YhTC92tvrII3DoNoeltauyZOa/bNXcWc6eycux\nw6AMhq4IjBmmTJmbl7xvix7/i6vLo3DQlp9KtakQCowSBoduF3k51reHAPUdneD61tOuOjASW+VN\nGSYJhwseuSxlGjztkA73TqYaVWiN/lAgeEbIW81Dtz08MZyr7mRc9ET7XuStOXjK59S9yylJYPRC\now+Pmq/AqMWEgqAESZ9Cezabb/N50jjfRg4BCEAAAhCAAAQgAAEIQAACEIAABCAAgZAAAmNIg3LV\nEvCCYLYNJvUJbXGB0bcpDz/qp7rPveei6l5YVL5q1SqbO3euW1KthkjNdh6+7SsfX8t+tO8oV535\nznLb79zZvsnlocB49p3v2vn3tDMNO933vc1s9LDezpR0h+JJe65rx+wywrXLi3JyFIp12aqPBOVw\nLsq1TaArAuOwHY/tEDZUNOfff4G1rQ7JGQ9xqvZlUYjTFXOeUtF6r7OZDZywhysX8qWUAmNba7PN\nv+88tyyFPh2y9aFpSwwFxkyemCvffT51T2X/jXeNBNkt0+aQl+aS5291tsbh60f3Vu6f1p6rojsb\nlzx3i+um0KkKoZopKSytwtMqrbHLiVLzMnXN2+4FxhEjRljv3lGo2V69Uh/vvRgKjBL8ZFcefvRA\nX/cPR2D0JMghAAEIQAACEIAABCAAAQhAAAIQgAAEuoMAAmN3UK7hZ7zxxhtlsXsvBmZbTFKf0BYv\n+7rypE8oMKqsj8RG3b3oc/0iWanWBcbpmw2xb++xrq0zpNEGRPchNsjtMCHJ81AeiGEKBcajrnzV\n7n5hUdjsyjcdv4ltPrKfK59201v2p0faRQPfccp6A6JQrB/dRadIrTPeWGr3Rh6Ttz4z3+ZE9zmS\nICAChQqMupdw2E5fT4SYLmSdEClHH3miacCq91+MRLXbUmN1P2GfKPSn7mJsGLBWh3ClqY4Jha4K\njK3RPYsr33nW3R3ZsnyhtUYhY5NSfRRyVN6BYQoFxgGb7GZ9Rm4RNrvyqg9etSXP3uTK/dbf3vqN\n3Tqtz/IoNOryKESqUv+NdrG+oyenteeqhGvI1TdsHxLtJQyjGrZ1puwFRv0b4EOj+lwCoRcZMwmL\noagYlrUG1X0Ky9lsvs3nSeN8GzkEIAABCEAAAhCAAAQgAAEIQAACEIBAdREYO3ZslzaEwNglfAzO\nRaBaBEYvJvr9ekFRdV8Ocy8uemHR515Y9HmtC4z9Guvt9m9vaqOGtnsXer6Z8lwCY1L4U811/dc3\ntsnRfY5Kv7jlbbv8of+5cvjlsq+sbztvMjg0pcqrmtvsiTeW2Hf+9qa9v7gpZadQewQKFRiTPPo8\nvYVRKM6WKCSn0rCdj+8QNjT6IWOLI9Gt6cPX/JC0vNfQ0dE9g5tZnxETcnrZdUVgXDFnRuRNeX/a\nszNVcgmMSeFPNZf2uPiZf7hp+43fzvqN2ybtEUteuN1WvfeCsw2MvBd7R16MnUlLZ91p8pLsbBq8\n1Res16C1OzusQ/98BEYvNErsU1l5/KOJvS18iGy+LbRnshXSJz6GOgQgAAEIQAACEIAABCAAAQhA\nAAIQgEBlEkBgrMxzq5lVe4FxrbXW6tE9xwXCpMXE+4R1Lx76cb7u+4R1lSUgKoXComxhiFSVFy5c\n6PrVqgfjLSdsYhPWbfcsFAjdofj4a0tszvxVtnhFO8OpkXfh7pGHo9JrH6y03X/bLi44Q/Ql9GDc\n4+xZ9sr/0u9XVL98BEb1+9pOa9tXd1zbhg/spWqH1NTSZvv+fnaHOxw7dMRQtQR6RGAUzejnysr3\nnrcVkfdgy6KOYYDVpTG6r3BQdG9htlSowBiGFtX87V6Um1h9n0FR2NeP/kBg8dM3usfX9xloQ7f/\natpSQu/BgVvsF4mDG6S1q5JLYFz87M3W9MErbtygyZ+2xmHrdZgjm0HhVRVmVanvmKl5j9c9jHUN\njdmmzqvNC4xDhgxJhUb1YVL1Byf6eIFRE6ruhUSfy+7LXlAMbSorhW1Jddcp9iU+JtZMFQIQgAAE\nIAABCEAAAhCAAAQgAAEIQKAKCPzvf+0OOAjV8t3tAAA/+0lEQVSMVXCY1byFWhEYJSQq+Vxiohcd\nZZOYKFsoMipU6qJF7eE8a1FgHDG40R4+ZfPU658UulSN343uRzx29f2IpRYY/WKG9u9l0zcbbJ+c\nONS23WCg9en1UcjKF+eusE+ekx6m1Y8jr34CPSYwBmjbmlZY8+K51jR/TiQ6zrS2KGypTwM338d6\nr/1RuF9v93mhAuOiGddY88J33DT9N9jR+q43zU+ZylubltuCBy9y9VIJjMteedBWvPmEe4buT9Q9\nip1Jy159yFa88bgbknTHY2fmKqSvFxgHDx7sQqTGxUXVQ69F7+Uum5LPERgLoc8YCEAAAhCAAAQg\nAAEIQAACEIAABCAAARFAYOQ9qAgCtSQwekFRB+MFxrgHIwLjR6/t4R9fy07dd5QzvL1gle30q5kf\nNQal/zt0fdttQnvo0u4SGIPHu/sgL/ryeNt10/Y1NEdejJuc+nTYhXINESgHgTHE3dbSbEtf+JfJ\nw1Cpz6hJNmDjT4Rd0sqFCIxtrc02/77z3DzZ7pJsXvSeLXryr65fqQTGle8+Z0tn3eWeIQ/E/hvu\nlLa/XBUJsktfuKN9/NiPWf/1P55rSFHbcwmMoQejREQvMHpBEYGxqMfBZBCAAAQgAAEIQAACEIAA\nBCAAAQhAoCYJIDDW5LFX3qYRGFudV6P3XvQCo7wX5dVYyx6MJ+y2jp24+zrupX7+neW2/7mzO7zg\n8hx8+rQtrLGh/V6xnhAYtaj66PEvnT45tb4NTvlvqkyhtgiUm8Ao+vJmXPTE1e4gGtccb4MmHZD1\nUObde45rr+vd34Z9/KisfdXY1rzS5j/wB9evYeBwG/KxLyWOWfriPbby7WdcW6kERnlRypvSp2E7\nHGN1jX19NWfevOjdSAT9m+un/Q/d9ogo9GlySOSckxXQIRQY5a3Y2NjoQqVKSPQfiYj6IDAWAJgh\nEIAABCAAAQhAAAIQgAAEIAABCEAAAjkJIDDmRESHciCAwNjqvBnlyehFRgmLCIxmO2082C4/fH33\nmq5qbrNpP3/Wlq1qDzXr391LDls/5TkoW6kExr23GOoeeduzC/yj03LdASkvRqWW1jbb+Id4MKYB\nqqFKTwiMTfPftIb+a0b3HQ5IJL3inWds2ex7XFufkVvYgE12S+znjQsfu9Jals5z1SFbf8kaBgz3\nTRnz+fdfYG0tq1z70O2OsPq+7R69fkDzwki4m9Eu3MlWKoFRcy966lprXvC2itZ7xKY2YNPdra6+\no0io+xzlcan7E8O0+OkbrGnem87Ud72t2r0YI2/BDim697Jp3hvRZhqiuxrHdGguxJBLYJSw6L0Y\nERgLIcwYCEAAAhCAAAQgAAEIQAACEIAABCAAgVwEEBhzEaK9LAhUisCo8KbxFNrC8Kfq5+tJudol\nJqrNC4s+93cxIjBGoRwj78TnfzYp8tIRMbMlK1tMAt8/nppvG6zd147cYS0bu2af9sbVX0slMEro\nlOApgfP25xfYE68ttRfeW24TR/V39zBuPX6AC5WqZTz15lL77B9eSlsXleokoHCi8ngLU+vyhVGI\nzjudScJVv/Hbhc1W3zt6V/oPS9m8t2DDgDVsyNaHpuxhYeETf7GWxe8707Cdj4/Esoaw2RY/faMT\nunqvtWF0v+ImVt9/iNU39rOWJR+4exhXzJmR6j9o0oHWuOa4VD2psPTFeyNPw3aRXF58fUdPsYZ+\nkci++rlaq6sHg5c8f6uter/9va/vN8T6jpzkntPW1mJNH75hy6O7DcNUSoFR+174+FWpxzUMWtv6\nrfcxaxi4prNJPF31/ovuk3RPY8uyebbw0StT43WOCrfqzq2u3nTGzdF5iFHryiXujPuN2ybVvyuF\nJIFRgqK8Gb2w6PMkgdGHSg1zvx5vC+u+7HP1yZZytWcbSxsEIAABCEAAAhCAAAQgAAEIQAACEIBA\nZRBAYKyMc6r5VVajwCjhUClJXPRt2QRGiYzei3Hx4sVurl3uP87lxf5St+2hVrfXKW7atmtOtLaZ\n7XePFfs5G61sD8/Y2Xm/vce6dtyuI7IOk6A3Zb12z61SC4xZFxI1ytNy+tkv2Fvz2z25cvWnvbIJ\ntCxfYAv/88dObaL3OpvZwAl7pMYUU2BMTZqh0HudCdGz98zQ+pG5deXSSGC7IuWR+FFLe6nf+O2t\n37it08ytKxbbgkcuTbPFKxLpvNhZSoFRz1353gvRXYq3x5fQoZ4kMKrTqvdnR0Lx3RkZhBNJRC62\nwDho0KBUeFSJi4UKjFqnFwURGMNTowwBCEAAAhCAAAQgAAEIQAACEIAABCCQiQACYyYy2MuKQC0L\njPJalOAosTH0YOxOgbG7XoZCBUat76Q917Wjdh7h7jkM19vc0mYX3f++Pf/2MrvgS+Nd08vvr7A9\nfzcr7GaP/XCirTmwPTziLmfNtDnzOop/1x27UUqkPO2mt+xPj3yQNschH1vTTojug1x7UGPKozKt\nQ1SZ8cZS++61b9obH66MN1GvUgKtKxZFotplndpdn3U3j0J2Tk+NSQmMWe4uXPjk1dayaK4bs8Yu\nJ0SKUX1qvAoS01a++3wUFvStNLuvSMzrN25b67PuZh3G+j7xXPcqrpw7y3np+XCpvk+/9T9u/cZ+\nzFdTuTwHdc+i7kEMk8KQ9l1vqluDD6UqL8eh2x4ednPi47KX73c23ROp+yLjqWne65HH5t+dud/6\nkdA5Nl3oDPvrfOSNqVCoSanP6C0jz8atonCtg5KanXeiG//BK4nt9ZEnap+1NzYJt3GPzsQBeRi9\nB2MugVFioQ+Xqmm9eBjPfZvP1e5TWM5m823Kk8aE7ZQhAAEIQAACEIAABCAAAQhAAAIQgAAEKp8A\nAmPln2FN7ACBEYExnxd9YJ8G23aDgTZlTH9bGoUp/WcUKlXeit2dFLZ1+w0H2vjhfWzMsN42b1mL\nzXp3uT0ZiYvzljZ393J4HgTSCLS1NFnL8vnWtnKZSSBUeNP6voOsQfchxkTJtIHFrOiPJiJhr3VZ\ntI7WZusVhSeN38dYzMflNVdbdMdtFNZUoU+VHJN+w6L7FxvzGh5tZPX4+ZFrequ761KipITbYicE\nxmITZT4IQAACEIAABCAAAQhAAAIQgAAEIACBzhJAYOwsMfr3CAEERgTGHnnxeCgEIACBMiSAwFiG\nh8KSIAABCEAAAhCAAAQgAAEIQAACEIBAjRFAYKyxA6/U7VaLwKgQpz75exZz3cEYhkj1YVJ9eNTu\nuoPRr7nUeVdCpJZ6bcwPAQhAoFwIZBMYfUjUhoYGF6rU17X2eGhUX/dtfn8a41NSuNMkm++vPFd7\n2JcyBCAAAQhAAAIQgAAEIAABCEAAAhCAQGUSQGCszHOruVUjMLZ7MCIw1tyrz4YhAAEIdCCAwNgB\nCQYIQAACEIAABCAAAQhAAAIQgAAEIACBbiaAwNjNwHlcYQQQGBEYC3tzGAUBCECg+gggMFbfmbIj\nCEAAAhCAAAQgAAEIQAACEIAABCBQaQQQGCvtxGp0vbUoMCp0qsKjZgqR2tTUZPJoVL548WL3Zuxy\n/3EV/YYQIrWij4/FQwAC3UQgLjAqHGpjY6P16tXLfEjUMESqbD4calKuZYdhTQmR2k0HyWMgAAEI\nQAACEIAABCAAAQhAAAIQgEAFE0BgLJPDe/jhh80fRrikLbfc0saNGxeailqeMWOGzZkzp8OcG2+8\nsU2YMKGDvacMCIwdPRgRGHvqbeS5EIAABHqWAAJjz/Ln6RCAAAQgAAEIQAACEIAABCAAAQhAAAKW\n0rTGjh3bJRx1kbdVW5dmqPHB999/v82fP78DhYkTJ9oGG2zQwV4sw+OPP27vvPNOh+k23HBD23zz\nzTvYe8qAwIjA2FPvHs+FAAQgUG4EEBjL7URYDwQgAAEIQAACEIAABCAAAQhAAAIQqD0C3mkOgbGH\nzz4UGCUq9u3b161o2LBh1r9//5KtbuHChbZkyRI3v14GL+QhMCYjz6WjJ7WHNoU79cnblWf6ECLV\n0yKHAAQgAAFPAIHRkyCHAAQgAAEIQAACEIAABCAAAQhAAAIQ6CkCCIw9RT723FBgnD59eklFxdij\nU9W33nrLnnzySVdHYExhSSt4UTDNGFSS2kNbksDobUkiIwJjAJciBCAAAQg4AsUSGDWZv2+ROxh5\nuSAAAQhAAAIQgAAEIAABCEAAAhCAAAQ6QwCBsTO0StgXgTE7XO9ZudZaa2XvWOLWUCxMelRSe2jz\nYqLGeru3qR7/IDAmUcYGAQhAoLYJIDDW9vmzewhAAAIQgAAEIAABCEAAAhCAAAQgUA4EEBjL4RSi\nNSAwZj8IBEbuYMz+htAKAQhAoHYIIDDWzlmzUwhAAAIQgAAEIAABCEAAAhCAAAQgUK4EEBjL5GQQ\nGLMfBAIjAmP2N4RWCEAAArVDAIGxds6anUIAAhCAAAQgAAEIQAACEIAABCAAgXIlgMBYJidT6QKj\nQnnq/kYf9lNYR44caaNHjy4KYQRGBMaivEhMAgEIQKAKCCAwVsEhsgUIQAACEIAABCAAAQhAAAIQ\ngAAEIFDhBBAYy+QAK11gbG5utltvvTWN5vjx423SpElptkIrCIwIjIW+O4yDAAQgUG0EEBir7UTZ\nDwQgAAEIQAACEIAABCAAAQhAAAIQqDwCCIxlcmYIjNkPAoGxNgTG+tNeyP4i0AoBCEAAAnbPPfc4\nCoMGDbLGxkZraGhwea9evay+vt7VZaurq3N12VSOfzSJ2pTU5pO3xe2+PezrbWGeqz3sSxkCEIAA\nBCAAAQhAAAIQgAAEIAABCECgMgkgMJbJuSEwZj8IBEYExuxvCK0QgAAEaocAAmPtnDU7hQAEIAAB\nCEAAAhCAAAQgAAEIQAAC5UoAgbFMTgaBMftBIDAiMGZ/Q2iFAAQgUDsEEBhr56zZKQQgAAEIQAAC\nEIAABCAAAQhAAAIQKFcCCIxlcjKVLjC2trbaE088kUZz5MiRNnr06DRboRUERgTGQt8dxkEAAhCo\nNgIIjNV2ouwHAhCAAAQgAAEIQAACEIAABCAAAQhUHgEExjI5s0oXGEuNsZYERom1Sm1tbaZy+Glp\naXH15uZma2pqMtWVL1682I3Z5f7jXF6pX7iDsVJPjnVDAALdSSAfgVH3KIYffy+ibCqHda3d11Xm\nDkZRIEEAAhCAAAQgAAEIQAACEIAABCAAAQhkI4DAmI1ON7YhMGaHjcDYLjQiMGZ/T2iFAAQgUAsE\nEBhr4ZTZIwQgAAEIQAACEIAABCAAAQhAAAIQKG8CCIxlcj4IjNkPAoERgTH7G0IrBCAAgdohgMBY\nO2fNTiEAAQhAAAIQgAAEIAABCEAAAhCAQLkSQGAsk5NBYMx+EAiMCIzZ3xBaIQABCNQOAQTG2jlr\ndgoBCEAAAhCAAAQgAAEIQAACEIAABMqVAAJjmZxMNQiM7777rrs30CMdNGiQ6VOMhMCIwFiM94g5\nIAABCFQDAQTGajhF9gABCEAAAhCAAAQgAAEIQAACEIAABCqbAAJjmZxfpQuMzc3Nduutt6bRHD9+\nvE2aNCnNVmgFgRGBsdB3h3EQgAAEqo0AAmO1nSj7gQAEIAABCEAAAhCAAAQgAAEIQAAClUcAgbFM\nzgyBMftBIDAiMGZ/Q2iFAAQgUDsEEBhr56zZKQQgAAEIQAACEIAABCAAAQhAAAIQKFcCCIxlcjII\njNkPAoERgTHbG/LII4/Y3Xff7bocdNBBtvHGG2frnnfbwoUL7YorrnD9J0yYYNOnT897bKEdTz/9\ndGttbbURI0bY1772tYKmeeqpp1Lrjk9wwAEH2K677ho351W/88477YUXXnB9DzvsMBsyZEhe4wrt\nVKpzLXQ9xRy3fPlye+ihh9yU6667rm2++ebFnJ65qpwAAmOVHzDbgwAEIAABCEAAAhCAAAQgAAEI\nQAACFUAAgbFMDgmBMftBIDD2sMA4bLTV7f8Ls7ZWa/v7D8wWvZf9wApsrT+tXbzq7PCLLrrIfvWr\nX7lhF154oe2xxx6dnSKx/6uvvmq77767azvwwAPt7LPPTuxXTOP666/vpttoo43s9ttvL2jqm2++\n2U488cTEsd///vftqKOOSmzLZfzOd75jN954o+t21113mV9rrnGFtpfqXAtdTzHH6R/fs846y005\ndepUO+SQQ4o5PXNVOQEExio/YLYHAQhAAAIQgAAEIAABCEAAAhCAAAQqgAACY5kcUjUKjBIftthi\ni6IQRmDsWYGx/og/m6031Z1l28sPWNtVhQlUuV4GBEZLiXZdERife+45u+6661K4JZQ++OCDrl7L\nAuMFF1xgv/nNbxyHq666yrbffvsUo+4uVLrA2NLSYqeccorDpvt2jz322O5GWNPPQ2Cs6eNn8xCA\nAAQgAAEIQAACEIAABCAAAQhAoCwIIDCWxTGYhQJjuKQtt9zSxo0bF5qKWlYoxTfffLPDnBtuuGFZ\nhexDYOxpgfGqSGCc5t6Ttpfut7Y/H93hnSmGodwERn1v7LLLLm5rn//85+2Xv/xlMbaZdQ7vFdgV\ngTH+AHlCegGoKwLjD3/4Q7v66qvd9P/+979tvfXWiz+qqPViezD+/ve/t3POOcetUaFvd9xxx6Ku\ntzOTzZs3z84880w3ZJtttrHPfOYznRne432bm5vtBz+IvJmjNGbMGDv++ON7fE21tAAExlo6bfYK\nAQhAAAIQgAAEIAABCEAAAhCAAATKkwACY5mcSyaBceLEibbBBhuUbJWPP/64vfPOOx3mR2DsgMQZ\n2trakhtWW5PaQ5vu1vPJ271NdX3CusrhR15DquuX+01NTaa68sWLF7tpd7n/OD99cXMfIrWlydpu\nOjUKkTq3uPOvnq3cBMaSbDLHpOUsMOZYetGbq1lgLDqsbp4QgbGbgcceh8AYA0IVAhCAAAQgAAEI\nQAACEIAABCAAAQhAoNsJIDB2O/LkB8qbZfny5R0ahw0bZv379+9gL5Zh4cKFtmTJkg7TDR482AYN\nGtTB3lMGPBh71oOxu84dgbE4IVLj51UsD8b4vKWuIzCWmnDh8yMwFs6uGCMRGItBkTkgAAEIQAAC\nEIAABCAAAQhAAAIQgAAEukIAgbEr9BjbbQQQGBEYs71scSFqypQpduONN9p//vMfUyjPddZZx6ZO\nnerCOG6yySYZp5LI///+3/9LeZGGHXWf6H777ReaMpaffPJJu/766+3RRx+11157zbbbbjtTGMzD\nDz/crefZZ591Y4877jgbMmRI2jxxD8Z7773X9JGXs0K2Tps2zT7xiU/YUUcdZQ0NDWljM1UKFRgl\nYohhUlLIVf0BRK60YsUKu/zyyx0L7UFhVbfddlvbZ599TB7af/jDH9wUkydPtr333jttuq6e6803\n32yPPPJIak6dy0svveTqOpOxY8em2lQQz5/+9KdWX1+fZi9GRZ7Gd9xxh/NSjs83evRo0/6zJb3P\n8l7W+7L77rvbCy+8YLNmzbLZs2eb/kBFobQnTJhgO++8c8716x/+Bx54wObMmWMffPCBrVy50gYO\nHGjDhw83ea9rHoU9DZPO8dZbb02Z5D39xBNPuHqfPn0S17/55pvbpptumhrjC8uWLbMXX3zRrX/u\n3LmpNay77ro2cuRIGzVqlPt+aWxs9EPSco3130O6R1NrnzFjhr3yyituTjHS2YqTvvfzSc8//7x7\nN959913n1S8mWofe16233tqVM80jz/Onn37aPf+tt96yt99+29ZYYw03duONN3bfs3V1dZmGF2RH\nYCwIG4MgAAEIQAACEIAABCAAAQhAAAIQgAAEikgAgbGIMJmqdAQQGHtWYKzb9lCr2+sUd8Bt15xo\nbTPvKMlhF8ODUffaXXrppSkhKb7QP//5z07wi9tVnz9/vhMDktoOPPBAO/vss5Oa0mw33HCDffe7\n302z+YqEtQEDBtjdd9/tTBIO4yJXKDB+9atftZNPPtkPT8t1N+Qll1ySU0zSoEIFxl/84hd22WWX\npT3XV+666y7za/W2eC7h6+ijjzYJe0nppJNOsrPOOss1ffazn7Vf//rXad1CgbGQc/3Rj35kOu/O\nJAmQ+Qq3nZl36dKlTrxMGiPx+5BDDklqStm+973vufKIESNsp512smuvvTbVFhYk6EnIziRoPfzw\nw/b3v/89HJJYjp+FvN07ewfpnnvuabvttluH+f1eOjQEBol7X/7yl51QF5hdUX80cNttt7my3huJ\npRIqk5Lev2xhxuXBL/HWC5ZJc8j2hS98IVFE1bled911JoEyU5KQ/rnPfc769euXqUun7QiMnUbG\nAAhAAAIQgAAEIAABCEAAAhCAAAQgAIEiE0BgLDJQpisNAQTGHhYYtz/C6vY4yR1u23Xftrbn/lmS\ngy6GwOgXttFGGzkvKHleSQDwadKkSRkFFnlWSdDz92MuWrTIHnzwQTc0H4HxoYcecqKIf5bEnh12\n2MGFIZY3ncSIMGUTGMN+EmokuDz11FPu49vkGSiPtVypUIFRwosXQ/UMeWR++OGH7nH5CIwSVUJx\nUR6g8oyTt1ncMzKXwOj32JlzFXOdiU/iF3owxr305DFXKg/GVatWOVHQv1vylvVr6YzA6PeiXMKV\nvEj181HerT4deeSRluSpK++83/3ud76b83pUv969eztxXZ538rhViguM+j665ZZbUmPlTRl6MG65\n5ZapNl+QB6O8IePJC4zyfJRILc9JeSFKxHzmmWdSYbvV/oMf/KCDMBcKjH5uCa+aS56ifl1q0xkf\nf/zxvltarjORcB2GCZfHobwold577z3nEamy3uWPfexjKqaSniVOWrdPOkvtR3+soL3IE1JJHCT8\nFishMBaLJPNAAAIQgAAEIAABCEAAAhCAAAQgAAEIFEoAgbFQcozrVgIIjAiM2V640NNN/Q499FCT\n95r3RHv11VdduEQ/h0I9Jgkfvt3n4bh8BMaDDz7YHn/8cTdcgtkZZ5yRWoPCUapdooVPuQTGNddc\n0/74xz+ahBoliTo/+clPUl55Eh59iFE/Z1JeqMAYn+s73/mO8/aSPZfAKAFRXl9K8tqUJ6HEXZ8U\nilYfn/IRGLt6rr///e/tnHPOcY+84oorbMcdd/SP7/Zc//h6783OCowS4yQiSnRWkmgpr0QfDlbC\no1jFk0K06tyU5AEbD0kruzwBJYxNnz5d1YypK3cwXnzxxaYwxhIl42FQJdrpbBQGVWnfffd1Hpvh\nQuICo8Kk7r///ilv3pCtxn3rW98yhV+Np3/961/mhToxPeywwzp4FMsLV17JCmG71VZbpU0hlmKq\npPnFXN+zPi1YsMB5U3vvSgmM+fzc8eOz5X7duitZDPWzTnmvXr0cB9UV6jf8eK9W2VQO63qWr6sc\nhgkO7WpTSrK1t7R/zdUe9qUMAQhAAAIQgAAEIAABCEAAAhCAAAQgUJkEEBgr89xqbtUIjAiM2V76\nUGDUL/jltSavrDCddtppduWVVzqTRDmJc7lSZwRG3cH2qU99yk0pQU1CY9++fdMeIY+6E088MWXL\nJTD+/Oc/ty9+8Yup/ipIrND9gUrjx49P8zB0xoQvPSEwSgDT/pR++MMfOkEsXJpEsV133TXleZdL\nYCzGuVaLwKj3zL8Dnqm8bRXSVmmttdYyhZ+Np6uvvjrlAZvJyzE+JlO9KwJjpjm9XZ6UXnyWR6FC\nBYcpFBglDMrLUcJamCS4KhyskoQ/ia5hkoeh/gDAJ3k5xj1afZveVYn7/g8WZA95q/79738/MZyr\n7mTUe6ek71fdXVqMhMBYDIrMAQEIQAACEIAABCAAAQhAAAIQgAAEINAVAgiMXaHH2G4jgMCIwJjt\nZQsFxmOOOcZ8CMZwzDXXXONEANkUBlP3u+VKnREYJd5ISFM64ogj7NRTT+0wvcJiem9ENeYSGCVa\nykMpnrbYYotUuFWtMVfqCYExXKPE1tCzy6/3ggsusN/85jeumktgLMa5VovA+LOf/ayDeC2I8tr1\nITnjIU7VLoFb9xUqTZs2zXnUukoBX0opMIZzK/SpPGfDFAqMmTwxH3vssVRoZHkfy8sxTPLSvOqq\nq5xps802s6985Sthc87yc889l/qDBYVOVQjVTElhaRWeVkkhWUPvwExjctkRGHMRoh0CEIAABCAA\nAQhAAAIQgAAEIAABCECg1AQQGEtNmPmLQgCBEYEx24sUCozy4vKhOcMxCmd41FFHOZMEi+OOOy5s\nTix3RmBUuEsfrlTijgSzpCTPSX/3XjaBUV6Qzz77bNIULrTlrFmzXJtCSca9t+KDultg1F2TEhiV\nJCz6sLHxdd1555129NFHO3MugbEY51oNAqPuJZRna1IKhawwPK/vK8FaoWp9kseewpSOGzfOhfiM\nhyv1/ZLyUATMds9h0ljZdO+hwujq7kjd6+n/YyTef4011kj9YYBvCwXGT3/607btttv6plQ+c+ZM\nF15YBn3P7bbbbqk2FXS3qL4vlA444AD7+Mc/7sr5fgnXkO8Y9dMdr0lie2fmUF8Exs4Soz8EIAAB\nCEAAAhCAAAQgAAEIQAACEIBAsQn43+mNHTu2S1PXRSHE2ro0A4MhkIUAAiMCY5bXw0KBMVP4U4l5\nCgup9M1vftNOOOGEbFO6ts4IjJrzpptucuMuu+wyk2dVUlK4xgcffNA1ZRMYN9poo5QAEp9H983J\ng0pJQmM8HGy8f3cLjC+//LLtsccebhkKTem5xNc1Y8aMlBCbS2AsxrlWg8CY5NHnuSqsqMKLKp1+\n+ukdhGf9M/3H6E7PF154wQ9JyzfYYAPn2Sjvxlx36HVFYLz//vvtlltuSXt2pkougTEp/Knm0h4v\nv/xyN63exd133z3tEX/9619N75+SvBflxdiZdO2112YUzrPNo587o0ePztYlrzYExrww0QkCEIAA\nBCAAAQhAAAIQgAAEIAABCECghAQQGEsIl6mLRwCBEYEx29sUCowXXnhhStwKx5RaYNQdbrfeeqt7\n5BVXXGE77rhj+PhUuRYERnlV7rXXXm7PkyZNMt2Hl5SefPLJVGjJXAJjMc611gVGnYHuEnziiSfs\n0UcftTlz5iQdi7uvUCGEs4mMhQqMYWhRPVzej5MnT7YhQ4akhX295JJL3Npk96GH/WJD78HDDjss\nLeyw75NLYNT36PPPP++6f+1rXzMJ+p1JCq+qMKtK+l7Pd/z666+f8w8C8lkHAmM+lOgDAQhAAAIQ\ngAAEIAABCEAAAhCAAAQgUEoCCIylpMvcRSOAwIjAmO1lKgeBUWFRJYIp6V5BhW5MSnvvvbfzOlRb\ntXowLlq0yIlG2mO2EKkSSb761a+qm/NkjN8bWOxzRWB0qFNfli1bZm+99ZbJ41Sio8KW+vSlL33J\nJA5nSoUKjLp38/XXX3fT7rPPPrbzzjt3eIRC7OqeVKVSCYy33XabSahUOuigg2yrrbZy5Xy//POf\n/3Tfv+qfdMdjvvMU2g+BsVByjIMABCAAAQhAAAIQgAAEIAABCEAAAhAoFgEExmKRZJ6SEkBgRGDM\n9oIVW4jyz+pMiFTdbfejH/3IDT322GPtpJNO8tOk8qamJps6dapJQFHqLoExFPLyDQ+bWnRQ0N2V\nN954o7PoTkt5Y2VKuoPR71N3/w0aNKhDV4WS1d2KSt3twZgtjG2HhZbAoH98dW+nkt6JQw45JOtT\nvve977n2roRIzfYAvZsKG+rv/dS9hplEcs1TiMAYjsl2l6Q8K88991y33FIJjI899phdd9117hk7\n7bST7bvvvq6c7xcJstdcc43rvuuuu9onP/nJfIcWpR8CY1EwMgkEIAABCEAAAhCAAAQgAAEIQAAC\nEIBAFwggMHYBHkO7jwACIwJjtretHARGCRZeJJLX3iOPPNLhDjyJckcddVRqK90lMCoU5H777eee\nmyTkpRaUo9AZgfELX/iC/ec//3EzSkRUPZ5Cb86kdRX7XBUW03vGZfMyja+zFPVyExi1R3kzystT\nacKECXb44Ye7cqYvXvQcOHCg/fjHP87ULWVfvny5/eQnP3H1dddd1771rW+l2sLCDTfckHp3SiUw\nyotS3pQ+nXbaada/f39fzZm/+eabdt5557l+2v8pp5xijY2NOccVqwMCY7FIMg8EIAABCEAAAhCA\nAAQgAAEIQAACEIBAoQQQGAslx7huJYDAiMCY7YUrthDln9UZD8a2tjY74IADTHfMKelOxlBAWbBg\ngRPZZs2a5afvNg/GhQsX2pQpU1LP1f17a621Vqqeb6EzAmPoNbnOOus477j11lsv9Sh5j3mBSsbu\nEBjvuOMOO+aYY9waFJ7Te8mlFtWNhZ4QGF966SWTB+TgwYMTdypBWOKe0jbbbGOf+cxnEvt5429/\n+1ubO3euq3772982nXOuJC/flStXum7f//73bY011kgbop/1559/fspWKoFR368Kafzaa6+5Z8mL\nVO9gr169Us/2Bd3nKI/LuMfuxRdfbGKqtMsuuzgvxqR7K3Xvpe4llQC5wQYb+Gm7lCMwdgkfgyEA\nAQhAAAIQgAAEIAABCEAAAhCAAASKQACBsQgQmaL0BBAYERizvWXFEBhXrVplM2bMSHuMPLq8CPax\nj30sTTBUx7XXXjtNdLj99ttN4VF9mj59uin8okKF/u1vf0uJGb69uzwY9TwJQH//+9/doyUEHXzw\nwTZ8+HBXl+DkPRydIfoicfX999/3VZfLu817Jeq+xNGjR6e1S6Tp3bu3s0lUUdhIL8DIq1NejGPG\njLGnnnrKrr766rSx3SEwvv3227bjjjumnisPSt0BOGzYMJMwVF9f74SiJJEoNaiAgkKD+p9hfvj8\n+fNTITbHjx9ve+yxh29yuc4kFIH9e9iVEKmXXHKJE7oUvnbLLbd092MOGDDA3n33XXcP4wMPPJBa\nwxFHHGGbbrppqp5UULhceeoqyYtPbHXOXqTTWlUP01VXXWXPPPOMM0lc3G677WyTTTaxlpYWtzbd\nbRimUgmMeob2/bvf/S71uFGjRpnCnXqhVO+/wvvq87nPfc70MyBMapcnrE86R32/69waGhrsww8/\nNL1zDz/8sEnk1xnvvvvuvnuXcgTGLuFjMAQgAAEIQAACEIAABCAAAQhAAAIQgEARCCAwFgEiU5Se\ngP/lfPgL99I/teMT5PWSLSW1hzaJLj55u7eprk9YVzn86Jfwqkuw0J1pqitfvHixm3aX+4/z0xc1\nr9v2UKvb6xQ3Z9s1J1rbzDuKOr+frP60F3yxU3kxBEa9YxIXOpPk4eXv0fPj5BUl8S0pyYtQosrd\nd9/tmrtTYFRIR61Xokc8SVCRCBImCVr+jrrQnq0c34+eqTCb3kssPlb3QZ5zzjnO3B0Cox6k8/rD\nH/4QX0qqLkFU4lAxk5j/6le/6tSU06ZNcyKwH1RMgdHPmSmXUCwBOpfQumjRIsfTeyTG59tzzz1t\nt912SzPLk/f0009Ps8UrEunuv/9+Zy6lwKgH6I8KdPdkrpQkMGrMf//7X7v++utTXpnZ5kFgzEaH\nNghAAAIQgAAEIAABCEAAAhCAAAQgAIFKI4DAWGknVqPrRWDsWQ/G7nrtChUYL730UvvlL3/plikv\nrU984hMdlnzfffel7pRTqM/jjksXY+fMmeO82ToMzGKQ6JAkHMmTUR6Ljz/+uPNe9J5N3/jGN5xH\npIQ4pSeffNJ5z4WP8GEY5T122223hU2p8oEHHpjyAlPoRe8xluqQoSCvubPPPtt0X6T3LFRXhS79\n97//nTZK4SuvueaaNFuuiuYIw6Cqvzy35CUm7zgvNEp0UjhZ9dVelOQxd+qpp7qy/1KMc/Vzhbk8\nKP/0pz+5NcUF11IIjPPmzbMzzzwzXELOsrzl9H755AXGbHcXKuSr3mOlM844o4NQqvftiSeesFde\necVPm5ZLzJOH3VZbbdVhbFrHoLJixQon0smT0YdL9c3yYE0S7eU5KO9H3YMYJoUhlbgoz18fSlWC\nvN7FMEl8vOWWW5xJArbui4yn2bNnm94fpSShM+yv7wt59yoUalLafvvtnWfr0KFDk5rdO67xuus0\nKekPY+QxKtE47tGZ1D8fGx6M+VCiDwT+P3v3AqzV9P9xfJ0ulDRuNSp0CkVKqSS30EQaodyqKbnE\nlIbGYChhRsqQGEVDjXGJjHEZIrmlGfNLuoxK5J6MW3K/lSj/zv98Vr6PdfbZ+zmdOs95zvPs957Z\n59lrrb33s/dr7VPGp7U2AggggAACCCCAAAIIIIAAAgggkEsBAsZc6nLuGhMgYCRgrLGHqRZPpBGm\nmh41fOedwg4L9zQNaZqWDRs2uMaNG2fCq/nz57tRo0Z5ggkTJrjhw4eniSNv96rpgPWXv0Y+KyDU\n9KYKzzRVbE2P3ky6SY3WVvCq69CI7FatWlV6H2PSsbmq1++rrsmmBpaJwkGb9req79XocgXWuied\nS4GtrVUdW912AsbqirE/AggggAACCCCAAAIIIIAAAggggEBNCxAw1rQo58uJgAWMOTl5NU5q05om\nHRLXHtbFbet/SmtRm9awrG1b1ab/aa2yPsMpUhs2bOjPkaspUv3Ja+HHjo5grIVLq5Gv0AgvvXNO\nS6dOndwLL7xQI+ct1JNMmjTJPfTQQ/7yNdosbrRbod4b141ALgUsYNTfA/rzX8Gwfepdoirbe0VV\n1mpT3tp2WNa1Wjnbtt1TuK/VhZ9VtYf7so0AAggggAACCCCAAAIIIIAAAgggUNgCpaWlO3UDJeXh\nR/aX0+3U6Tk47QIEjFt9+EjAWLd/ExT+ampUTfHYrFmzChervrvhhhsy046OHTs2M3qvwo5FVND7\n7fR+vp49e/qAI7w1Te3ar18/X9WkSRP/DsimTZuGu7CNAAIJAgSMCTBUI4AAAggggAACCCCAAAII\nIIAAAgjUugABY62T84WFKFBVjh7XHtYpgLLF6q1OZa1W1md0tYBRUwpq5Ip92lBkRjCabn4+1T/t\n2rXzX66QsWvXrj5o1Dve5s2bl3lvYosWLdyCBQv8dKH5udLa+dbp06f7dz7qfvv37+/0fkk945oa\n1kYu6komTpzohg0bVjsXxbcgUAQCFjBqCleNXNR7WO3TRjDayMXwU7e+PSMYtY8tcaMR4+psf31W\n1R7uyzYCCCCAAAIIIIAAAggggAACCCCAQLoFGMGY7v5Pzd1bKJh0w3HtYZ2Fhzre6q1OZa1WjoaL\nKhMwJsnXjfowYEy6otatW7tp06a5Ll26JO1SNPUWMGa7oREjRrhx48b5gCTbfrQhgMB/AgSM/1mw\nhQACCCCAAAIIIIAAAggggAACCCBQ2AIEjIXdf1z9dgpYKJi0e1x7WGfhoY63eqtTWauV9RldCRiT\n5OtGvfrv+eefd8uWLXPLly9369atcxs3bnQawdehQwfXrVs3p0CtcePGdeOCc3wVGqn48ssvu6VL\nl7o1a9a49evX+2/s3Lmza9++vRs8eLDr3r17jq+C0yNQfAIEjMXXp9wRAggggAACCCCAAAIIIIAA\nAgggkFYBAsa09nzK7ttCwaTbjmsP6yw81PFWb3Uqa7VyNFxUmYAxSb7u1qtPmS7wv/7B4z8LthDY\nUQECxh2V4zgEEEAAAQQQQAABBBBAAAEEEEAAgbomQMBY13qE68mJgMKRbEtce1hn4aHOYfVWp7JW\nK+szuhIwZtOnDQEEEEiHAAFjOvqZu0QAAQQQQAABBBBAAAEEEEAAAQTSIEDAmIZe5h4zoWAShYWG\nYXtYZ+Gh2q3e6lTWauVouKgyAWMoyzYCCCCQTgECxnT2O3eNAAIIIIAAAggggAACCCCAAAIIFKMA\nAWMx9ir3VEnAQsFKDf9WxLWHdRYeanertzqVtVpZn9GVgDFJnnoEEEAgPQIEjOnpa+4UAQQQQAAB\nBBBAAAEEEEAAAQQQKHYBAsZi72HuzwtYKJjEEdce1ll4qOOt3upU1mrlaLioMgFjkjz1CCCAQHoE\nCBjT09fcKQIIIIAAAggggAACCCCAAAIIIFDsAgSMxd7D3J8XsFAwiSOuPayz8FDHW73VqazVyvqM\nrgSMSfLUI4AAAukRIGBMT19zpwgggAACCCCAAAIIIIAAAggggECxCxAwFnsPc39ewELBJI649rDO\nwkMdb/VWp7JWK0fDRZUJGJPkqUcAAQTSI0DAmJ6+5k4RQAABBBBAAAEEEEAAAQQQQACBYhcgYCz2\nHub+vICFgkkcce1hnYWHOt7qrU5lrVbWZ3QlYEySpx4BBBBIjwABY3r6mjtFAAEEEEAAAQQQQAAB\nBBBAAAEEil2AgLHYe5j78wIWCiZxxLWHdRYe6nirtzqVtVo5Gi6qTMCYJE89AgggkB4BAsb09DV3\nigACCCCAAAIIIIAAAggggAACCBS7AAFjsfcw9+cFLBRM4ohrD+ssPNTxVm91Kmu1sj6jKwFjkjz1\nCCCAQHoECBjT09fcKQIIIIAAAggggAACCCCAAAIIIFDsAgSMxd7D3J8XsFAwiSOuPayz8FDHW73V\nqazVytFwUWUCxiR56hFAAIH0CBAwpqevuVMEEEAAAQQQQAABBBBAAAEEEECg2AUIGIu9h7k/L2Ch\nYBJHXHtYZ+Ghjrd6q1NZq5X1GV0JGJPkqUcAAQTSI0DAmJ6+5k4RQAABBBBAAAEEEEAAAQQQQACB\nYhcgYCz2Hub+vICFgkkcce1hnYWHOt7qrU5lrVaOhosqEzAmyVOPAAIIpEeAgDE9fc2dIoAAAggg\ngAACCCCAAAIIIIAAAsUuQMBY7D3M/XkBCwWTOOLawzoLD3W81VudylqtrM/oSsCYJE89AgggkB4B\nAsb09DV3igACCCCAAAIIIIAAAggggAACCBS7AAFjsfcw9+cFLBRM4ohrD+ssPNTxVm91Kmu1cjRc\nVJmAMUmeegQQQCA9AgSM6elr7hQBBBBAAAEEEEAAAQQQQAABBBAodgECxmLvYe7PC1gomMQR1x7W\nWXio463e6lTWamV9RlcCxiR56hFAAIH0CBAwpqevuVMEEEAAAQQQQAABBBBAAAEEEECg2AUIGIu9\nh7k/L2ChYBJHXHtYZ+Ghjrd6q1NZq5Wj4aLKBIxJ8tQjgAAC6REgYExPX3OnCCCAAAIIIIAAAggg\ngAACCCCAQLELEDAWew/n+f6++OKLPF/Btq+3UDDpYuLaw7q4bQsU1aY1LIcho9osYNTnli1bfFmf\nDRs29Jd00v8uT7q0gqivd/OHBXGdXCQCCCCQTwELGO3P//r16/u/B/RZr149p8+SkhK/rbJWlbXY\ndlhWvZWzbatNS7jvtpqKP6tqr7g3JQQQQAABBBBAAAEEEEAAAQQQQACBQhYoLS3dqcsnYNwpPg6u\nSoCAcasPHwkYq3pSaEcAAQSKX4CAsfj7mDtEAAEEEEAAAQQQQAABBBBAAAEECkWAgLFQeiql12kB\nY/PmzfMqEI5AjLuQuPawzkYn6lirtzqVtYblcASjti1g/OeffyqMYPzjjz/85TCCMa5XqEMAAQSK\nS8ACxqZNm2ZGLmoke4MGDTIjGG3kon3aqMLtGcGofWyx46ysz7i66rSH+7KNAAIIIIAAAggggAAC\nCCCAAAIIIFCYAj/88IO/cALGwuy/1Fw1AeNWHzwSMMY/8osXL3YLFizwjYMGDXLt27eP37EAaleu\nXOlmzZoVe6UDBgxwvXv3jm2jsrAENm3a5BYtWuQvumXLlq5jx46FdQNcbV4FCBjzys+XI4AAAggg\ngAACCCCAAAIIIIAAAgiUCxAw8hgUhAABY54Dxr32dyVnTiofdlk+Veuc8c79vj4nz82OvoNx5syZ\nbvLkyf6aZsyY4fr27ZuT66uNk86dO9ddeeWVsV81btw4N3LkyNg2KgtLQH/5TpkyxV90t27d3JAh\nQwrrBrjavAoQMOaVny9HAAEEEEAAAQQQQAABBBBAAAEEECgXIGDkMSgIAQLG/AaM9UY87lzrbv5Z\nKVuz0JXNzk3IVVcCxvvuu8/deeed/n5nz57tjj322Fr7PVm9erV75plnMt+3du1a9+abb/pyoQaM\nW7ZscYcccoi/hx49ergnn3wyc39p3Sj0gFGjqa+//nrffW3btnWjR49Oa1fm5b4JGPPCzpcigAAC\nCCCAAAIIIIAAAggggAACCAQCBIwBBpt1V4CAMd8B4+zygLG7f0DKPv2fK3t8VE4elroSMN5zzz1u\n6tSp/h41XWmvXr1ycr/bc9JXX301E94UasC4efNmd+ihh/rb7dy5s5szZ8723HpR7/Pzzz+722+/\n3d9jz5493TnnnFNQ96v3wI4fXz6auXw54IAD3JgxYwrq+gv9YgkYC70HuX4EEEAAAQQQQAABBBBA\nAAEEEECg8AUIGAu/D1NxBwSM+Q0YnU2R+n9bXNkLN5ZPkfpdTp47AsbKrASMlU2oyb8AAWN++4CA\nMb/+fDsCCCCAAAIIIIAAAggggAACCCCAAFOk8gwUiAABY54Dxlp6TggYK0MTMFY2oSb/AgSM+e0D\nAsb8+vPtCCCAAAIIIIAAAggggAACCCCAAAIEjDwDBSJAwEjAmO1RnTlzpps8ebLfZcaMGa5r167u\nueeec0uWLHFvvPGGa9GihevWrZufxtHeBRieb+7cuW7x4sWZquXLl7tPP/3Ul4855hhXWlqaadNG\n/fr13YQJE1y9evUy9fr+3377zR1xxBFuw4YN7vHHH3fff/+9O+mkk9x1113ndt11V3+Nr732mmvU\nqJHr16+fu/HGG3195iQxG/kOGOWie5GHmbRu3dq1adPGnXDCCe6UU07xU2SGl677v+2221xZWZmv\nVhhl75Vs0qSJO+OMM8Ld/Xbfvn29VaWG8or169c7TVur5aijjnIDBw5077zzjnvwwQed+krt6mPZ\nX3LJJa57923T+foD6sgPvYdSfW8m4WXtv//+/trDuui2nuetW7e6PfbYw5188snuww8/dB999JH7\n+OOPnaZbVX906NDBnXjiiRWey+h5VNbUBQsXLnRfffWV+/HHH93ff//tdt99d9esWTN38MEH+/No\n2tNw+euvv9y8efMyVXoH49tvv+3LerZlH106duyYmRo3bPvzzz/dJ5984q//u+++y1xDy5YtXatW\nrdx+++3nNG1sw4YNw8My2zr2vffe82W9H1XXvmLFCvfZZ5/5c8pIv7Ny0nOxPcv777/vn+9vv/3W\nrVu3zpvoOvSs65nTdtKiPl21apX//q+//tp98803bu+99/bHtm/f3j+PJSUlSYfvUD0B4w6xcRAC\nCCCAAAIIIIAAAggggAACCCCAQA0KMEVqDWJyqtwJEDDmN2AsOfoCV9Lvet/BZU9d6co+eC0nnV0T\nIxj1XjsFTxaGRS9UYZlCw3C56aabfIgW1lW1rfMraLTl8MMPdxs3brRihc927dr5IHH16tUV6ocN\nG+YmTpxYoS5ayFfAqADp6quvdgpfsy2nnnqqu//++yvsosBPwU91Fn3XFVdcEXuIwh8LJQcNGuTO\nO+88v8buXF65du3apKa81evZUCgdtyj8HjJkSFxTpk4htZZ9993XB7tPP/10pi3c0LsuL774YpcU\naL311lvb9Q7MO+64IzytD89vvfXWCnVVFfRs9OnTp9Judi+VGoIKBXrDhw/3QV1Q7Tf1jwZeeukl\nv33uuef6sFRBZdwyatQod9BBB8U1+TqF4QpvLbBM2nHo0KGxIar6VeG5ntGkpVOnTv55bdy4cdIu\n1a4nYKw2GQcggAACCCCAAAIIIIAAAggggAACCNSwAAFjDYNyutwIEDDmOWA8doQr6Xut79yyZ652\nZatfzklH10TAaBemUE+joDTyykbPqa1z586VAhaFaIsWLbJD3cqVKzMBpcLI6GgujayKjmAMA8Ye\nPXr4EVTh9+rkGs245557Zr5fo/k0Ei8MKjMX8e9GvgJGBbEKXm3p37+/U1Ci0VpffvmlW7p0qfv8\n88/9CEaNIA0XhTaTJk3KVGnknVnonnWu6KIwqnfv3tFqXw4DRo2aVPmnn37ybbomjXxbs2aNvx5V\n1sWAcfPmzU6hoI1g3LRpU+YZq07A6G/63x+697322svpz0f1iS0axRk3Ulej8+6++27bzY961H67\n7LKL++WXX/zIO/WplmjAqN+jF198MXOs+jQcwdilS5dMm21oBKNGVUYXCxg18vHAAw/0Iyc1ClEj\ngN99910/AljHqH38+PEuGsyFAaOdW8GrzqWRonZdatPv7pgxY2y3Cp/qE/2DBD2vtmjEoUZRalFQ\nrlGiWhRq6/c6XPRdctJ126K+1EhQeepeNDpUixwU/NbUQsBYU5KcBwEEEEAAAQQQQAABBBBAAAEE\nEEBgRwUIGHdUjuNqVYCAkYAx2wMXTpGq/S644AIfjllwp8BJ0yXaoqke44IPa9d0nFOnTvXFWbNm\nuV69ellT4mcYMCpYUGDy1FNPuXHjxvlj9tlnHz9lq64pPL/CTQUxSUu+AkYFKpp+VItGhEbDPwVl\nGg2nKSEHDx6cdPm+XkGORtZpiQt4fUOWH2HAaLudddZZPuSVsy0aIfrwww+7u+66y6rq7Kf+8p0y\nZYq/vuoGjLpnhYg2baf6Ys6cOZlpfhU86ncgumiK1tdff91XK+w+7bTTors4jQTU86upb7MtO/MO\nxgceeMBPY6xQMjoNqkI7/c5pGlQtp59+uh+xGV5LNGDUaNkzzzwzMzVsaKvjrrrqKh9Ch+fQ9iuv\nvOIsqJPphRdeWGk6ZE0/++yzz/rRi0ceeWSFU8hSploUcstcv+e2/Prrr/53x0ZXKmDM9ueOHbc9\nn3bdTZs29Yb6c0WWDRo08A4qawrncLVRrarTdljWd1pZ2+H0z2G92rTE1W1r2fazqvZwX7YRQAAB\nBBBAAAEEEEAAAQQQQAABBApTgICxMPstdVdNwEjAmO2hDwNG/Q9+jUbUqKxwufnmm92jjz7qqzSl\np0bMJS1hAFjdgFFBmk3fqNFPFuLoc/r06f4rFZCMGDHCbz/22GPuuOOOS7oUl6+AMQxMFdzttttu\niddYVUNNB4waAXnvvfdW9bV1uj0MwaobMCpcjU7z+/vvv2dGjTZv3txde+22EcchwhNPPOFH56ou\naZRjuH+27Z0JGLOdV216h+G0adP8bhpReOmll1Y4JAwYFQxqlKOCtXBR4KoAXIuCP4Wu4aIRhnpP\nqC0a5RgdqWxtCnA1YtP+wYLqQ2+V9Q8J9N7F6KIA3t4f2rZtWzd69OjoLjtUJmDcITYOQgABBBBA\nAAEEEEAAAQQQQAABBBCoQQECxhrE5FS5EyBgJGDM9nSFAeNll13mbArG8JhwNKGmN9X73ZKWnQkY\nNYXnI4884k+9bt06d/zxx/vt888/391yyy1+e8WKFU7vjtNSVdiZr4BRAay9x1LTQNr1+ouu5o+a\nDhjnz5+f9b161by8vOy+MwGjnqNGjRpVum5NaWtTckanONXOGi27cOFCf1z37t2rHHla6QuCilwG\njOG5NfXpNddcE3yzc2HAmDQSc9myZZlpeQcOHFjpnaAapTl79mx/3sMOO8xddNFFFb6jqoJCd/sH\nC5o6VSN+kxZNS6vpabVoStZwdGDSMVXVEzBWJUQ7AggggAACCCCAAAIIIIAAAggggECuBQgYcy3M\n+WtEgICRgDHbgxQGjHr339ChQyvtrukMR44c6esVWFx++eWV9rGKnQkYFcwpNNSi9wTae9v03TZd\najjlZ1XhXb4CRoVVeg+jLfaOxK5du/p33YWjuWyfpM+aDBhbt27tA6ak7yqU+h0NGPVewokTJ8be\nZhhkaXRetI9WrVpVoU81Yk/TlLZp08ZP8RmdrjT2S/6tDEPAbO85TDqH3nu4ZMkS/+5I/Z7Yf4xE\n99eoQPu9sbYwYDz77LPd0UcfbU2Zzw8++CAT9OvZ7dOnT6ZNGwsWLPCjg7U9YMCArKOItU90Ca8h\n2patPHbs2ArTqGbbN1sbAWM2HdoQQAABBBBAAAEEEEAAAQQQQAABBGpDwP6fXmlp6U593f8DAAD/\n/9ml/zwAAEAASURBVOydCbyV0/7/12lCZSi6REqDIaU0ILkRjciYlJlk6GeOKK6La4qIMv6uDFEu\nCV0qw+XPLUIlkkSGECkXaRKK8++z/Na+a+/9PPvs8ey9z36v1+s5z1rfNT7v9exdr/M53+8qK9+Y\nDCltAjNnzjT/+c9/4vq3bdvW7LTTTnH2bBnmzp1rlixZEjfcLrvsYlq2bBlnz5fhiy++sFM3aNAg\nX0uw81b0mgfV+7bff/89sn5ndzaVdfll5f3rt99+s+UNGzaY9evXG5V1X716tR236/RzIuNnM1PW\neaAp6znUDlk+aYgpf/+5bA4fGava1Qsj+VQy//u//2tuuukm2+Wee+4xvXr1iuv+yiuvmNNPP93a\nL7zwQnP++efHtXGGMWPGmNtvv90Wx40bZ7p06eKqQu977LGHWbt2rTnssMPM6NGjbbtVq1aZPffc\n0+bPPfdcM2TIEJtftGiR6d27t83fcMMNZsCAATYf9OOFF14wgwcPtlXDhg0zZ555ZlCzrNu+++47\nc/jhh5tly5YFjn3ooYeaE044wXTq1Cmw3jf++uuvZrfddrOmNm3amMmTJ/vVFeYXLFhguarh/vvv\nbx566KEK+xR6A33fjxw50i6zffv2Cd8BNbr00ktt22233dZcfPHFNh/7Q+/d119/bc16r2rUqBHV\nRN8vYrdwYfDnrHnz5qZDhw72Kisri+obW9B30OWXX27NO+64oznvvPNim4SWp0+fbqZMmRJa71fU\nr1/f6L3306uvvmqmTZtmTSeffLJp3bq1X23zesYHH3zQ5nv27Gm6d+8e1eaxxx4z+vdP6dRTTzW7\n7757VH1FhSeeeMLMnj27omZx9freadSoUZw9VcP/+3//z3bZfPPNTc2aNU316tXtXXterVo1W9bd\nv9yeyqa8X9Zgrqy82rjk2xPZXJ3uQX38evIQgAAEIAABCEAAAhCAAAQgAAEIQAACxU/AaVpNmjTJ\n6GHKNv7iEoExA4T6heuKFSviRtAvTvVL31wl/YJ06dKlccO3aNHCtGrVKs6eLwMC4x9CIwJj8Bvo\nC4z33nuvkaAQmxAYY4lUXJZAKpHm8ccfDxUar7rqKnPKKackHCybAmO/fv0iYnLCSQu8Mh8Co5Do\nDxbmzJlj3nrrrcA/LlEb/btz0kknJRSJ0hUY33//ffPwww9rGpskTkqE33LLLc2mm27qzGbs2LE2\nL/sVV1wRsSvjC4x694L+rapIYNQfDki4VjrjjDPMzjvvbPPJ/hg/frx57733bHP9AUKy/Zs1a2Zq\n1aqV7DSh7RAYQ9FQAQEIQAACEIAABCAAAQhAAAIQgAAEIFBJBBAYKwl0RdP4AqN+uet+0VqvXj1T\nu3btirqnXb9y5UqzZs0a218vgxPyEBiDkVakowfV+zbnnajRnd3ZVNbll5X3LwTG4H1BYAzmkk2r\nPOPmzZtn9F01ceLEqKFnzJhhdthhhyibX8imwHjssceaESNG+MMXZT5fAqMP66effjJfffWV+eST\nT6zo6P4tUJsTTzzRyNs0LKUrMN59993m888/t8PKC/aAAw6Im0KewNdcc42150pglAekhEolvVMd\nO3a0+WR/PPfcc0Z/tKB05JFHms6dOyfbNSvtEBizgpFBIAABCEAAAhCAAAQgAAEIQAACEIAABDIg\ngMCYAbxsdvUFxh49euRUVAxbt37R/Pbbb9tqBMZgSk4UDK79r2jo1/t9nHioemd3NpV1+WVfXFQe\ngdEn+998LgXGBx54wHTt2vW/k4XkchUiVULCoEGD7KwVhXYNWVrWzd9884057rjjzJdffmnHVmhO\nhYYNSwiM8WQKQWD0V6VQywobOn/+fGtW6Nujjz7abxKVT0dg9Ptssskm5tprr40a0xUUtvuOO+6w\nxVwJjLNmzTKTJk2ycyjsbp8+fdz0Sd3lBeqE9gMPPNAcfPDBSfXLViMExmyRZBwIQAACEIAABCAA\nAQhAAAIQgAAEIACBdAkgMKZLLsv9EBgTA3WelZzByBmMQW9KtgVGhU90HlS33HJLQqHFrSdXAqN/\n/uAxxxxjbr75ZjdlXu8SXq+77jq7BoWwdOdbhi1KoSGVtt5665TPrvMZ4MGY/hmMYXvj7PojE50/\nqqQzeE877TRXFXh350LWrVvX/PWvfw1s4xvXrVtnFFJXqWHDhuaiiy7yqyP5p556yrz55pu2nCuB\nUV6U8qZ06eqrr07pD3skrt955522u55/+PDh9gxEN16u7wiMuSbM+BCAAAQgAAEIQAACEIAABCAA\nAQhAAAIVEUBgrIhQJdUjMCYGjcDIGYyJ3pBsC4wvvviiOfvss+2UCuPovKkSrSFXAqPCGLdr1y4y\ntc7OqwyhXSEk5bkZFqL5vPPOM1OnTrXrqsiDUY169eplPv74Y9te4SV33XVXm0/mBwKjMU7M23bb\n9AVG8Vf/LbbYIhC7RD2Je0r77LOP6du3b2A7Z7z11lvN8uXLbXHIkCFmu+22c1Wh9yuvvNL88ssv\ntn7YsGGmfv36UW31XX/XXXdFbLkSGOUtrvNaFy9ebOdq3769kYBfo0aNyNwuo/Mc5XHpRHJnv+++\n+yLvtD4r8mIsKytz1ZG7vM8XLVpkBchsnamMwBjBSwYCEIAABCAAAQhAAAIQgAAEIAABCEAgTwQQ\nGPMEPnZaBMZYItFlBEYExug3IrqUbYFR5w126dIlMskhhxxiz4rTmagSEKpVq2YkKPhiQq4ERi1C\n4s3kyZPteiTi9O/f32yzzTa2LLEoUXhS2yiNH05MOfXUUy2LJk2amOrVq5t33nnHvPzyyxFxUUPL\nJiEoUZKH2/jx420TeTHK47Fx48ZWuJFRYZk1R1AqdoFRoUHdd5h7vhUrVkRCbDZt2tT07NnTVdm7\n9tUXkrMhMI4dO9YKXXpX27Zta71J69SpYxTyVucw6ixNlwYOHGh22203Vwy8P/300+aNN96wdfLi\n02dGe+tEOomZKvtJ78B7771nTRIX9913Xys2K/yzRDiJz37KlcCoOfTct912W2Q6nSOqcKdOKP32\n22/tuaM6e7Rfv35mr732irRVRvXycHZJ+6hwq9o3fVa+//57o++SmTNnGv2hgPa4e/furnlGdwTG\njPDRGQIQgAAEIAABCEAAAhCAAAQgAAEIQCALBBAYswAxG0MUu8AoDw2d3+jOFRST7bff3jRq1Cgb\neCK/nPd/4Z6VgVMcxH++oK5B9b5NnFxydmdTWZdfVt6/8nYGY6eTTVnv4Xbp5RMvMOUfvOgeI6v3\nalcvTGu8bAuMWsTIkSPNPffcE7oeeYNJRHAplwKjwjHKm0yCRWySGCIBI9vJCYwVjTtixAijsKUV\nJXm6SVxZu3ZtYFOJqOeee25gXbELjNq3m266KfDZwowdOnSwQrKrz6bA6MYMu8ubTyK2L6AHtV21\napX9nDiPxNg28lrt1q1blPnHH380N9xwQ5QttiCRTv8mKuVSYNT4c+fOtWdPKp8oBQmMav/uu++a\nJ598MuKVmWgMBMZEdKiDAAQgAAEIQAACEIAABCAAAQhAAAIQKDYCCIwFsmPFLjDKQ8eFS3RI5c3R\npk0bV8zo7rx/EBjzcwZjRpuXQud0Bcb777/fXH/99XYmeWkddNBBcbP++9//jpwpd/HFF5tzzjkn\nrk2sQZ55jzzyiPXsihX3YgVGeTepzZFHHmlGjRplh5KYJuFR6YILLrCX8p9++qnp0aOHsvZMRYVm\nrCjJ403jzpo1KxKWUX3kBfjqq69W1D3lep31qHE//PDDwL4K23rhhRdGeXoGNvSMq1evtp6Y8mJz\n4VJd9dChQ83gwYNdMequNciLVOmEE04w1157bVR9oRd++OEHIyE2laT3SaKWS05gTHR2oUL5Llmy\nxHa58cYbowRwGfVHIHPmzLHvnxvXv0vMkwjcsWPHuL5+Oz//888/W5FOnowuXKqrV8hQeQTGJnkO\nyvtR5yD6SWFIJS7qs+FCqcrLUaFU/aR/L6dMmWJNOidS50XGpo8++sjoe0EpSOj02+uzJQ9hhUIN\nSp07d7Yey1tttVVQtfVOVH8J4UFJ/27JY1SicaxHZ1D7ZGx4MCZDiTYQgAAEIAABCEAAAhCAAAQg\nAAEIQAACuSSAwJhLuimMjcCYGBYCY35DpCbenezVpiswZm8FjBRLQKKpRKvvvvvOSEySwKVLHsqk\n4iTw66+/Gv3jL8FXe6rwphLPFALY98rN5dPJW1vCq9ahP1DR+xR7HmMu5w8aWx7iWpNCnyqJicTB\nWrVqBTWPs8nbXJ8XPZPGkmDrrrjGGRoQGDMESHcIQAACEIAABCAAAQhAAAIQgAAEIACBjAkgMGaM\nMDsDIDAm5ojAiMCY+A2hFgIQgEDpEEBgLJ295kkhAAEIQAACEIAABCAAAQhAAAIQgEChEkBgLJCd\nQWBMvBEIjAiMid8Qah988MGMz2IcNGiQ2WeffYAJAQgUOAEExgLfIJYHAQhAAAIQgAAEIAABCEAA\nAhCAAARKgAACY4FscrELjAoNp7O9/KSQd40aNfJNaecRGBEY0355SqSjzjB88sknM3panfGoMyRJ\nEIBAYRNAYCzs/WF1EIAABCAAAQhAAAIQgAAEIAABCECgFAggMBbILhe7wJhrjAiMCIy5fseKffzr\nrrvO/POf/8zoMTRGr169MhqDzhCAQO4JIDDmnjEzQAACEIAABCAAAQhAAAIQgAAEIAABCCQmgMCY\nmE+l1SIwJkaNwIjAmPgNoRYCEIBA6RBAYCydveZJIQABCEAAAhCAAAQgAAEIQAACEIBAoRJAYCyQ\nnUFgTLwRCIwIjInfEGohAAEIlA4BBMbS2WueFAIQgAAEIAABCEAAAhCAAAQgAAEIFCoBBMYC2RkE\nxsQbgcCIwJj4DaEWAhCAQOkQQGAsnb3mSSEAAQhAAAIQgAAEIAABCEAAAhCAQKESQGAskJ2pCgLj\nN998Y8rLyyNEN998c6MrGwmBEYExG+8RY0AAAhCoCgQQGKvCLvIMEIAABCAAAQhAAAIQgAAEIAAB\nCECguAkgMBbI/hW7wLhhwwYzderUKJpNmzY1bdq0ibKlW0BgRGBM992hHwQgAIGqRgCBsartKM8D\nAQhAAAIQgAAEIAABCEAAAhCAAASKjwACY4HsGQJj4o1AYERgTPyGUAsBCECgdAggMJbOXvOkEIAA\nBCAAAQhAAAIQgAAEIAABCECgUAkgMBbIziAwJt4IBEYExsRvCLUQgAAESocAAmPp7DVPCgEIQAAC\nEIAABCAAAQhAAAIQgAAECpUAAmOB7AwCY+KNQGBEYEz8hlALAQhAoHQIIDCWzl7zpBCAAAQgAAEI\nQAACEIAABCAAAQhAoFAJIDAWyM5URYGxWbNmZo899sgKYQRGBMasvEgMAgEIQKAKEEBgrAKbyCNA\nAAIQgAAEIAABCEAAAhCAAAQgAIEiJ4DAWCAb6AuM/pLatm1rdtppJ9+U1fw777xjvvzyy7gxW7Ro\nYVq1ahVnz5cBgRGBMV/vHvNCAAIQKDQCCIyFtiOsBwIQgAAEIAABCEAAAhCAAAQgAAEIlB4BBMYC\n2fMwgbF169amefPmOVvl7NmzzdKlS+PGR2CMQ2IN5eXlwRX/Zw2q922///57pL+zO5vKuvyy8v71\n22+/2fKGDRvM+vXrjcq6r1692o7bdfo5kfGLMVPt6oXFuGzWDAEIQKBSCSAwVipuJoMABCAAAQhA\nAAIQgAAEIAABCEAAAhAIIIDAGAAlH6YffvjBrFu3Lm7qevXqmdq1a8fZs2VYuXKlWbNmTdxwW2yx\nhdl8883j7Pky4MGIB2O+3j3mhQAEIFBoBBAYC21HWA8EIAABCEAAAhCAAAQgAAEIQAACECg9AgiM\npbfnRfnECIwIjEX54rJoCEAAAjkggMCYA6gMCQEIQAACEIAABCAAAQhAAAIQgAAEIJASAQTGlHDR\nOF8EEBgRGPP17jEvBCAAgUIjgMBYaDvCeiAAAQhAAAIQgAAEIAABCEAAAhCAQOkRQGAsvT0vyidG\nYERgLMoXl0VDAAIQyAEBBMYcQGVICEAAAhCAAAQgAAEIQAACEIAABCAAgZQIIDCmhIvG+SKAwIjA\nmK93j3khAAEIFBoBBMZC2xHWAwEIQAACEIAABCAAAQhAAAIQgAAESo8AAmPp7XlRPjECIwJjUb64\nLBoCEIBADgggMOYAKkNCAAIQgAAEIAABCEAAAhCAAAQgAAEIpEQAgTElXDTOFwEERgTGfL17zAsB\nCECg0AggMBbajrAeCEAAAhCAAAQgAAEIQAACEIAABCBQegQQGEtvz4vyiREYERiL8sVl0RCAAARy\nQACBMQdQGRICEIAABCAAAQhAAAIQgAAEIAABCEAgJQIIjCnhonG+CCAwIjDm691jXghAAAKFRgCB\nsdB2hPVAAAIQgAAEIAABCEAAAhCAAAQgAIHSI4DAWHp7XpRPjMCIwFiULy6LhgAEIJADAgiMOYDK\nkBCAAAQgAAEIQAACEIAABCAAAQhAAAIpEUBgTAkXjfNFAIERgTGdd++BBx4wa9asMXXr1jUDBw5M\nZ4iS7TNp0iTz2muvBT7/kCFDTOPGjQPrMCZHYN26deb111+3jRs2bGhatWqVXEdaQWAjAQRGXgMI\nQAACEIAABCAAAQhAAAIQgAAEIACBfBNAYMz3DjB/UgQQGPMsMNZrZMoOv86Y8t9N+eTLjVm1LKl9\nS7VRtasXptolYfu99trLfP/996ZOnTpm/vz5CdtSGU3gyiuvNBMmTIg2/l/pySefNO3atQusw5gc\nAf3jO3LkSNu4ffv2ZsCAAcl1pBUENhJAYOQ1gAAEIAABCEAAAhCAAAQgAAEIQAACEMg3AQTGfO8A\n8ydFAIExvwJjtYEbhabG7e1elX8yw5SPPzOpfUu1EQJjqsRy137KlClmzpw5kQlmzJhhFi9ebMsI\njBEsaWeKXWD87bffzPDhw+3zN23a1AwePDhtFnRMnQACY+rM6AEBCEAAAhCAAAQgAAEIQAACEIAA\nBCCQXQIIjNnlyWg5IoDAmG+BcfxGgbGD3d3yj6eb8gln5WSnsy0wdu3a1Xz55Zc2nOerr76akzWX\nyqDXXXedUchZJQTGzHf9hx9+MCNGjLAD7bPPPqZv376ZD1qJI2zYsMFcfvlGb+aNaccddzTnnXde\nJc7OVAiMvAMQgAAEIAABCEAAAhCAAAQgAAEIQAAC+SaAwJjvHWD+pAggMOZXYDQuROpv6035M3/Z\nGCJ1eVL7lmqjbAuMqc5P+3ACCIzhbEqxBoExv7uOwJhf/swOAQhAAAIQgAAEIAABCEAAAhCAAAQg\nYAwCI29BURBAYMyzwFhJbwkCYyWBTmMaBMY0oFXhLgiM+d1cBMb88md2CEAAAhCAAAQgAAEIQAAC\nEIAABCAAAQRG3oEiIYDAiMCYzKuqEJ7Lli2La7r55psnDOF40003mZUrV5o999zTrFmzxkyYMMF8\n++23RiFWL730UrPJJpsYtXnxxRfNpptuanr37m3+8pe/WHvcZBsNb7/9tg0j+tZbb9lzC/fdd1+j\nMJinnXaaUajW+fPn227nnHOO2XLLLaOGkJAn8Wa77bYzZ599dlSdK9x3333m66+/NjVq1LDn4FWv\nXt1VRd31HAsWLLC2yy67zNSsWdM89thjZvLkyeb999+39tatW5tDDz3UHHfccWaLLbaI6u8XEBh9\nGqnn169fb9+f8vLyuM6NGjWy715chWd4+umnze+//27fl+7du5uFCxeaDz/80Hz00UdG4VZ32mkn\n07JlS3PAAQeYatWqeT3js/rLIp2puWTJEvPdd9+ZX375xdStW9dss802pkWLFnYchT31088//2ym\nTp0aMekMRndGpz4f+uzEplatWpnddtst1mx++ukns2jRIrv+5cuXR9bQsGFDs/3225sddtjBfl70\nvgYl9XWfoc6dO9u1z50713z66ad2TH2mmjRpYsRJn6Nkkj4nH3/8sfnmm2/M0qVLLROto3Hjxmbv\nvfe2awobR3s6b948O/9XX31lP5v169e3fXfZZRfToUMHU1ZWFtY9LTsCY1rY6AQBCEAAAhCAAAQg\nAAEIQAACEIAABCCQRQJ4MGYRJkPljgACY34FxrJOJ5uy3sPtBpdPvMCUf/BiTjY7Uw/GXr16WZEg\ndnF16tSJCBKxdSrvscceZu3atUFVZuedd7ZCohPkXKMTTjjBXHvtta4YuT/11FPmkksuiZT9TKdO\nnYzW8vLLL1vzK6+8YoUQv02zZs1sUfO+8MILflUkf/jhh0cEQolMtWrVitT5mcGDB0fGkLB5zTXX\nGM0ZlFR30kknBVVZGwJjKJqkKvR+iXFQat++vRkwYEBQVcQmoVtp2223Nfvvv7954oknInV+RoKe\nhOwwQWvmzJlWYPb7BOVvvvnmKLME+Ouvvz7KVlFBn8du3brFNXPPElfhGSTu6X2UUBeb9C5PmzbN\nmo855hgrlkqoDEpnnXWWad68eVCVtekPCiTeOsEyrOHxxx8fKKJqXydNmhQR8oP6S8Tv16+f2Wyz\nzYKq07IhMKaFjU4QgAAEIAABCEAAAhCAAAQgAAEIQAACWSSAwJhFmAyVOwJOYMzdDMmNHOR95PcM\nqvdtQXl5JSmpTpdfVt5dqpPXkMq6yyPK3Z2nT9fp5/jLyVq+rPNAU9ZzqB2vfNIQU/7+c1kb2x8o\nU4FRosiXX34ZGdKJEKkIjHvttZcV/SQa+EnejFtttVVEnNGY7777rvG9B19//fUokU5iz5///Gfr\nFfnss8/GiZiVKTD27dvXelXqmbbeemvTpk0bs27dOiusOPELgdHf8ezmf/31VysKuu8AsZfHnFIq\nAqO/KglX9erVM/p+9N/7008/3ey6665+U5uXd95tt90WscvrUe0kUK9YscJ63i1evNjWxwqM8mCc\nMmVKpK++h3wPxrZt20bqXEYejPKqjE1OYJTnowR1eU7Kg1Ii5nvvvWc/L+qj+ssvvzxOmPMFRje2\nhFeNpe9Fty7VyRPzvPPOc82i7tqTESNGROZTpTwO5UWpJG9oCfhKEgj13eAnzSVOWrdL2ks9j3jq\nWeQdqiQOEn6zlZzAqDXo+1/fQ+4uD1aVJTIr7y4nOqusvF/Wulw5Ud6t32/rbP69onq/LXkIQAAC\nEIAABCAAAQhAAAIQgAAEIACB4iagaGKZpLKNvzSNj/uWyYj0hYBHAIHxdys+IjB6L0USWQkC33//\nvfUaTOSh5HswShSQ2DFx4kQzbNgwO4sEuTfffNP+0n7MmDHm9ttvt3aJhhJRXOrfv7+ZPXu2Lcqz\n6sYbb4wIkApHqXo/hGtlCoxalETRO++804bRdGuWcPTwww9bUVUeZ2EJD8YwMunZ9dc9I0eOtJ1T\nFRj1fkpElJefkv75VdjbN954w5YlPJ588sk27/9QiN+XXnrJmiSYH3LIIX61zcsTUJ+BHj16xNX5\nhkzOYFSI33bt2hmJku6PI9zYEszGjRtnQ6jK1qdPH+ux6ep1jxUYFSZVXr0SzpR8tipfdNFFRuFX\nY9Pzzz9vnFAnpqecckqcR7HCz8orWSFgO3bsGDWEWIqpksYXc31XuPTjjz+a+++/3zjvSgmMQYKr\na5/K3a0bgTEVarSFAAQgAAEIQAACEIAABCAAAQhAAAIQyAUBBMZcUGXMKkegIh09qN63yevHJWd3\nNpV1ubLusZcTGPXLff1i2d2dK3KpezA6tu6eqsAoj0Pn9SjPJSfA6C5hTknixsCBA23+kUceMfvt\nt5/N6wy2o446yuYl5Elo1HmNfpIgecEFF0RMlS0wPvfcc4GebZEFJcggMCaAk0aVL4KlKjDqPdO5\nnn5atWqV0R4pNWjQwAwd+ofHsd/mH//4h3nnnXesKczL0W+fKJ+JwJhoXNXpfNHRo0fbZvIoHDRo\nUFQXX2CUMCgvR51H6icJrgoHqyThT6Krn+RhqD8AcElejrHnTro6973seyv7vNVOf4wQFM5VZzLq\njxKUmjZtahS2OBvJCYzaa4m0en53l9CqtTrPRf+uuVWWh6HzMlRZyZWVd7ZYu8pKfts/LNE/K6qP\nbk0JAhCAAAQgAAEIQAACEIAABCAAAQhAoJQJ4MFYyrtfQs/uRMGwRw6q921OPFR/Z3c2lXW5cqy4\nqDICYxj5YHuqAqPOtnvooYfsYEuXLrXhTVU48cQTzd/+9jdrnzt3rpF3otI999xjnNefxJsrrrjC\n2iVA/uUvf7F5/4fCYvoej5UpMB555JFm1KhR/nJSyiMwpoSrwsaZCIx6F2PFa0145ZVXRkJyxoY4\nVb0E7hkzZihrOnToYD1qbSGNH7kUGP2xFfr04osvjlqhLzB27RrsiTlr1ix7NqI66t2Xl6Of5KU5\nfvx4a9p9993Nqaee6ldXmNeZrPL8VdL3jEKohiWFpVV4WiWFZPXFu7A+FdkRGCsiRD0EIAABCEAA\nAhCAAAQgAAEIQAACEIBAsRBAYCyWnWKdGRFwomDYIEH1vs2Jh+rv7M6msi5X1j32QmAMIx9sT1Vg\nlFgo0VBJoVXVX+nMM8+MhEtdsGCBOeyww6xdIo4TGxXu0vX17bah90NzuLP3KlNglEeYW7e3nKSz\nCIxJo0qqYboCo84lvPbaawPn8IUsPzyvaywv2wkTJrii9dhTmNKdNp7FqBCfseFKIw0DMr4ImOic\nw4Cu1rRmzRobdlhnR+qz5rywY9vLK9CFKnZ1vsB49NFHm06dOrmqyP2DDz6I/LGAPnPdunWL1Cnz\n8ssvmxdeeMHajjjiiIgnclSjBAV/DQmaxVVddtllUWFU4xokaUBgTBIUzSAAAQhAAAIQgAAEIAAB\nCEAAAhCAAAQKngACY8FvEQvMBgEnCoaNFVTv25x4qP7O7mwq63LlWHFRZQTGMPLB9lQFRglwLjSj\nQiDq3DWlc8891wwZMsTmFy1aZHr37m3zN9xwgxkwYIDNX3jhheaZZ56x+QceeMDIsyooKVzja6+9\nZqsqU2CcNGmSUSjOdBMCY7rkgvulKzAGefS5GfTuKryokt7N2LCh+n6Rh+7ChQtdl6h78+bNrWej\nvBsrCnGZicA4ffp0M2XKlKi5wwoVCYxB4U81lp7xwQcftMP27NnTdO/ePWqKxx57zMgbWUnei/Ji\nTCU98cQTkfNWU+l3/vnnm0aNGqXSJbAtAmMgFowQgAAEIAABCEAAAhCAAAQgAAEIQAACRUgAgbEI\nN40lp07AiYJhPYPqfZsTD9Xf2Z1NZV2urHvshcAYRj7YXpkCo85wmzp1ql3IuHHjTJcuXQIXlS+B\nUR5XjRs3DlxTMkYExmQoJd8mHwKjVqfvlDlz5pi33nrLLFmyJHDBOq/wpJNOSigypisw+qFFNbm8\nHyXkb7nlllFhX8eOHWvXJrsLPewW63sPnnLKKVFhh12bigRGfUbljax0xhlnmJ133tl1Tequ8KoK\ns6qkz3qy/Zs1a2Zq1aqV1ByJGiEwJqJDHQQgAAEIQAACEIAABCAAAQhAAAIQgEAxEUBgLKbdYq1p\nE3CiYNgAQfW+zYmH6u/szqayLlfWPfZCYAwjH2yvTIFRYVHvvfdeu5BbbrnFKHRjUDrkkEPMhx9+\naKvS9WCUd6RCSypprDDBYvDgwZEwkPIay8RzCoHR4s7aj3wJjP4D/PTTT+arr74yn3zyiRUdFbbU\nJZ072qZNG1eMu6crMN59993m888/t+Mdeuih5oADDogbe+3ateaaa66x9lwJjNOmTTMSKpWOPfZY\n07FjR5tP9sdzzz1n9PlVCjrjMdlx0m2HwJguOfpBAAIQgAAEIAABCEAAAhCAAAQgAAEIFBoBBMZC\n2xHWkxMCThQMGzyo3rc58VD9nd3ZVNblyrHiosoIjGHkg+2VKTDqbLsrr7zSLkTC3tChQ+MWtX79\nehumVAKKUpDAuMceexjVb7311oEhGPUetGjRIjJ2ZQmMI0aMMH//+9/tvHrWfffdN7IGMqkTKASB\n0V+13k2FDZ0/f74161zDMJFcDdIRGP0+ic6SlGflHXfcYdeRK4Fx1qxZRmGDlfbff3/Tp08fm0/2\nh7xAJ06caJsfeOCB5uCDD062a1baITBmBSODQAACEIAABCAAAQhAAAIQgAAEIAABCBQAAQTGAtgE\nlpB7Ak4UDJspqN63OfFQ/Z3d2VTW5cq6x14IjGHkg+2VKTBKsHDnMUocfOONN+LOwHvppZfMmWee\nGVlskMDYrVs3s3jxYttGYR4lxPjp3XffjRJ+KktgfPjhh83VV19tlyJvzWOOOcZfFvkUCRSawKjl\ny5txzJgx9klatmxpTjvttIRPdemll9r6unXrmr/+9a8J26py3bp15qqrrrLtGjZsaC666KLAPk89\n9ZR58803bV2uBEZ5Ucqb0iW927Vr13bFCu/yIL7zzjttOz3/8OHDTc2aNSvsl60GCIzZIsk4EIAA\nBCAAAQhAAAIQgAAEIAABCEAAAvkmgMCY7x1g/koh4ETBsMmC6n2bEw/V39mdTWVdrhwrLqqMwBhG\nPthemQKj9u6II44wOmNOSWcy+gLKjz/+aI4//vhIeFS1CRIYTz31VKNwpkqjRo2y4RdtYeMP7b8E\nSheaUfbKEhg15+mnn26X0qFDB+vtVr16dVvmR+oE8iEwfvzxx2bbbbc1W2yxReCCJepJ3FPaZ599\nTN++fQPbOeOtt95qli9fbotDhgwx2223nasKvcvL95dffrH1w4YNM/Xr149q+8UXX5i77rorYsuV\nwKjPq0IaOzG/ffv2VjSvUaNGZG6XcUK/zk/003333WfEVElhi+XFWFZW5jexeX13L1q0yAqQzZs3\nj6tPx4DAmA41+kAAAhCAAAQgAAEIQAACEIAABCAAAQgUIgEExkLcFdaUdQL6pXSiFFTv25x4qDGc\n3dlU1uXKusdeCIzh9OXZ9/PPP0c1kKDn0qOPPuqy9i7PwHbt2tm8C0t62GGHmdGjR1vbqlWrzJ57\n7mnz5557rpGAoiShoHfv3jZ/ww03RLwWZXjhhReMwqO61KNHDxt+USFPH3/88YiY4eqDBMZHHnkk\n4uWldtdff71p3bq1+f77781DDz0UER/dGJUlMP76669WRFm2bJmdWiKjnq9OnTq2vPPOO5u9997b\nLYu7R0ChQSWc+WnFihWREJtNmzY1PXv29KutCNigQYOIzXkLSiC8+OKLI3Y/o3f366+/tia9m7Fi\n2dixY+37q/e9bdu2Ngyv9u+bb76x5zDOmDEjMtzAgQPNbrvtFikHZZ5++mnrqas6efF16dLFjunm\n1Vrlzeun8ePHm/fee8+aJC4q1O6uu+5qxXN9tnS2oZ9yJTBqDj33bbfdFpluhx12MAp36oTSb7/9\n1sybN89e/fr1M/qDBT+pXuetuqR9VLhV7ZvEd31mtR8zZ840K1eutHvcvXt31zyjOwJjRvjoDAEI\nQAACEIAABCAAAQhAAAIQgAAEIFBABBAYC2gzWEruCDhRMGyGoHrf5sRD9Xd2Z1NZlyvHiosq501g\n7HSyKes93D52+cQLTPkHL4YhyMhe7eqFafd33orJDuCfcZgtgVFzyytKIUSDkgRNiSovv/yyrQ4S\nGCVG6vw7d05j7DgSMHRGnfO8qiyBUeuQqDFo0KDYJdnysccea3ROIymegISmm266Kb4igUUCbv/+\n/SMtsikwRgYNycibT3MHeeP5XSTCjxw5MuKR6Ncp36tXL6OQv36SJ6/Ez0RJ77jz4s2lwKg1zJ07\n13rjJlqP6oIERtn1hw1PPvlkKAO1cUkiMgKjo8EdAhCAAAQgAAEIQAACEIAABCAAAQhAAAJ/EEBg\n5E0oCQJOFAx72KB63+bEQ/V3dmdTWZcr6x575UtgDHvebNszERg7d+5snHddMuvyBUYnTh555JE2\nLKn6S+CT8Kh0wQUX2Ev5Tz/91HruKR92FqE8GeWxOHv2bDuO82ySJ6SEIhfi9O233zb16tXTUFFJ\ncygUqhMRXaUEG4WllGem8wKT15fzGHPt3F3zTZs2zRblReU8s1x9OncJmjp7TsKMz/uEE04w1157\nbTpDVvk+P/zwQ8riq95JiVouOYEx0dmFd9xxhxWf1efGG2+0XnSuv+563+bMmWPfYd/u8hLzJIB1\n7Ngxrq9rE3uX17DeBZ056sKlujYKGSqPwNgkz0F5P+ocRD/Jq1jiojxjXShVCfIKpeoniY9Tpkyx\nJp0TqfMiY9NHH31k7r//fmsOEjr99vImnTx5slEo1KCk7xaFQN1qq62Cqq13ovovWLAgsF4ejfIY\nlWgc69EZ2CEJIx6MSUCiCQQgAAEIQAACEIAABCAAAQhAAAIQgEBREEBgLIptYpGZEnCiYNg4QfW+\nzYmH6u/szqayLleOFRdVRmAMI1+Ydu2XhEr/zDuJHe7cts8++yx04eorgfGTTz4x22yzjRU7JcCQ\nIJApAYW71RmQq1evtmGFFd5U4pnE7so6V1PfdRJetQ6FkN1+++3jzmPM9DlT7a/PnNak0KdKYiJx\nsFatWkkNpe9oeavqmTSWBFt3JTVACo0QGFOARVMIQAACEIAABCAAAQhAAAIQgAAEIACBgiaAwFjQ\n28PiskXAiYJh4wXV+zYnHqq/szubyrpcWffYS7+0lk2/kF+/fn3krl9oK3Wdfo69F+uPTDwYi+GZ\n5eGlM+eUdK7iM888UwzLZo0QgECBEUBgLLANYTkQgAAEIAABCEAAAhCAAAQgAAEIQAACaRNAYEwb\nHR2LiYATBcPWHFTv25x4qP7O7mwq63Jl3WMvBMYw8oVh134pNKpCPMrr0E/auyuuuMJMnDjRmi+7\n7DJz1lln+U3IQwACEEiKAAJjUphoBAEIQAACEIAABCAAAQhAAAIQgAAEIFAEBBAYi2CTWGLmBJwo\nGDZSUL1vc+Kh+ju7s6msy5V1j70QGMPIF4Zd+7PzzjvbxUhkbNeunRUadcbb1KlTI+cm6izEl19+\n2Wy22WaFsXBWAQEIFBUBBMai2i4WCwEIQAACEIAABCAAAQhAAAIQgAAEIJCAAAJjAjhUVR0CThQM\ne6Kget/mxEP1d3ZnU1mXK8eKiyojMIaRLwy7LzCGrahx48Zm9OjRpm3btmFNsEMAAhBISACBMSEe\nKiEAAQhAAAIQgAAEIAABCEAAAhCAAASKiAACYxFtFktNn4ATBcNGCKr3bU48VH9ndzaVdbmy7rEX\nAmMY+cKwa//++c9/mlmzZpm3337bLF261Kxdu9bIY7Fly5amffv2ZuDAgXguFsZ2sQoIFC0BBMai\n3ToWDgEIQAACEIAABCAAAQhAAAIQgAAEIBBDAIExBgjFqknAiYJhTxdU79uceKj+zu5sKuty5Vhx\nUWUExjDyhWvXnpaVlRXuAlkZBCBQdAQQGItuy1gwBCAAAQhAAAIQgAAEIAABCEAAAhCAQAgBBMYQ\nMJirFgEnCoY9VVC9b3Piofo7u7OprMuVdY+9EBjDyGOHAAQgUDoEEBhLZ695UghAAAIQgAAEIAAB\nCEAAAhCAAAQgUNUJIDBW9R3O8/N98cUXeV7BH9M7UTBsMUH1vi0o7wRF1enyy77AqDonMOq+fv16\nW9a9Zs2adkldp58TtrSisFe7emFRrJNFQgACEMgnAScwuu//6tWr238HdK9WrZrRXZ7TyrvLeVKr\nrLxf1rO4cqK8e2a/rbP594rq/bbkIQABCEAAAhCAAAQgAAEIQAACEIAABIqbQJMmTTJ6AATGjPDR\nuSICCIy/W/ERgbGiN4V6CEAAAlWfAAJj1d9jnhACEIAABCAAAQhAAAIQgAAEIAABCBQLAQTGYtmp\nEl2nExgbNGiQVwK+B2LQQoLqfZvzTlRfZ3c2lXX5Zd+DUXknMG7YsCHKg3H16tV2OXgwBu0KNghA\nAAJVi4ATGDfffPOI56I82WvUqBHxYHSei+7uvAqT8WBUG5dcP1fWPciWSr3fljwEIAABCEAAAhCA\nAAQgAAEIQAACEIBAcRL4z3/+YxeOwFic+1cyq0Zg/OM8RgTGknnleVAIQAACoQQQGEPRUAEBCEAA\nAhCAAAQgAAEIQAACEIAABCBQSQQQGCsJNNNkRgCBEYExszeI3hCAAASqDgEExqqzlzwJBCAAAQhA\nAAIQgAAEIAABCEAAAhAoVgIIjMW6cyW2bgRGBMYSe+V5XAhAAAKhBBAYQ9FQAQEIQAACEIAABCAA\nAQhAAAIQgAAEIFBJBBAYKwk002RGAIERgTGzN4jeEIAABKoOAQTGqrOXPAkEIAABCEAAAhCAAAQg\nAAEIQAACEChWAgiMxbpzJbZuBEYExhJ75XlcCEAAAqEEEBhD0VABAQhAAAIQgAAEIAABCEAAAhCA\nAAQgUEkEEBgrCTTTZEYAgRGBMbM3iN4QgAAEqg4BBMaqs5c8CQQgAAEIQAACEIAABCAAAQhAAAIQ\nKFYCCIzFunMltm4ERgTGEnvleVwIQAACoQQQGEPRUAEBCEAAAhCAAAQgAAEIQAACEIAABCBQSQQQ\nGCsJNNNkRgCBEYExszeI3hCAAASqDgEExqqzlzwJBCAAAQhAAAIQgAAEIAABCEAAAhAoVgIIjMW6\ncyW2bgRGBMYSe+V5XAhAAAKhBBAYQ9FQAQEIQAACEIAABCAAAQhAAAIQgAAEIFBJBBAYKwk002RG\nAIERgTGzN4jeEIAABKoOAQTGqrOXPAkEIAABCEAAAhCAAAQgAAEIQAACEChWAgiMxbpzJbZuBEYE\nxhJ75XlcCEAAAqEEEBhD0VABAQhAAAIQgAAEIAABCEAAAhCAAAQgUEkEEBgrCTTTZEYAgRGBMbM3\niN4QgAAEqg4BBMaqs5c8CQQgAAEIQAACEIAABCAAAQhAAAIQKFYCCIzFunMltm4ERgTGEnvleVwI\nQAACoQQQGEPRUAEBCEAAAhCAAAQgAAEIQAACEIAABCBQSQQQGCsJdEXTzJw507jN8Nu2bdvW7LTT\nTr4pq/m5c+eaJUuWxI25yy67mJYtW8bZ82VAYERgzNe7x7wQgAAECo0AAmOh7QjrgQAEIAABCEAA\nAhCAAAQgAAEIQAACpUfAaVpNmjTJ6OHLyjemjEYo8c7Tp083K1asiKPQunVr07x58zh7tgyzZ882\nS5cujRuuRYsWplWrVnH2fBkQGBEY8/XuMS8EIACBQiOAwFhoO8J6IAABCEAAAhCAAAQgAAEIQAAC\nEIBA6RFAYCyQPfcFRomKm266qV1ZvXr1TO3atXO2ypUrV5o1a9bY8fUyOCEPgTEYeUU6elC9b/v9\n998jAzu7s6msyy8r71+//fabLW/YsMGsX7/eqKz76tWr7bhdp58TGb8YM9WuXliMy2bNEEiZwLp1\n68zrr79u+zVs2LCg/qAj5YehQ6UTQGCsdORMCAEIQAACEIAABCAAAQhAAAIQgAAEIBBDAIExBki+\nir7A2KNHj5yKimHP+NVXX5m3337bViMwBlNyomBwrbECYWyd38eJh2rj7M6msi6/7IuLyudNYKzX\nyJQdft3GRf9uyidfbsyqZbGPmZUyAmNWMDJIERDQP74jR460K23fvr0ZMGBAEayaJRYKAQTGQtkJ\n1gEBCEAAAhCAAAQgAAEIQAACEIAABEqXAAJjgew9AmPijXCelQ0aNEjcMMe1ThQMmyao3rc58VD9\nnd3ZVNbll5X3r3wJjNUGTjCmcXv72OWfzDDl488MQ5CRHYExI3x0LiICxS4w6rto+PDhlnjTpk3N\n4MGDi4h+8S8VgbH495AngAAEIAABCEAAAhCAAAQgAAEIQAACxU4AgbFAdhCBMfFGIDDm9wzGagPH\nbxQYO9hNKv94uimfcFbiDUuzFoExTXB0KzoCP/zwgxkxYoRd9z777GP69u1bVM+gMM2XX77Rm3lj\n2nHHHc15551XVOsv9sUiMBb7DrJ+CEAAAhCAAAQgAAEIQAACEIAABCBQ/AQQGAtkDxEYE28EAmN+\nBUbjQqT+tt6UP/OXjSFSlyfesDRrERjTBEc3CFQyAQTGSgYeMx0CYwwQihCAAAQgAAEIQAACEIAA\nBCAAAQhAAAKVTgCBsdKRB09Y7AKjwnjq/EYX9lNPuf3225tGjRoFP3CKVgTGPAuMKe5Xus0RGNMl\nRz8IVC4BBMbK5R07GwJjLBHKEIAABCAAAQhAAAIQgAAEIAABCEAAApVNAIGxsomHzFfsAqN+2Tx1\n6tSop9O5XG3atImypVtAYERgTObd+fnnn82jjz5q5s6da9566y3TsGFDs99++5k+ffqYLbfc0jz8\n8MN2mE6dOpmDDjooasgJEyaYjz/+2JSVlZlLL73UbLbZZlH1Krz00kvmtddes/bTTjvNNGnSJK6N\nDBLap0yZYt544w3z/vvv26tx48ambdu2pkuXLjYcpuZJlD777DPz4IMPmnnz5pnFixebtWvXmq23\n3trstNNOpnPnznb9Go9UHATWr19vXnzxxag/wnAr1x9i7Lnnnq4YeH/66afteax6j7t3724WLlxo\nPvzwQ/PRRx8ZhVvVe9GyZUtzwAEHmGrVqgWO4Yz6h3/GjBlmyZIl5rvvvjO//PKLqVu3rtlmm21M\nixYt7DgKe+onfbb873idwThnzhzbZJNNNglcf6tWrcxuu+3mD2PzP/30k1m0aJFd//LlyyNr0OdV\nf5iyww47GIWNrVmzZlxfGdR3/vz5tk6fBa1dn/lPP/3UjilG+myK03bbbRc4RqxxwYIF9vP/zTff\nmKVLl1omWoc+t3vvvbddU2wfV9bnXZ9Tzf/VV1+Zr7/+2tSvX9/23WWXXUyHDh3s94prn407AmM2\nKDIGBCAAAQhAAAIQgAAEIAABCEAAAhCAQCYEEBgzoZfFvgiMiWEiMOZXYCzrdLIp6z3cblL5xAtM\n+QcvJt6wNGsz8WCUyHLWWWdZT9qg6S+++GJz66232qrTTz/dXHHFFVHNTj31VKPPoZKEEwkEsenm\nm2829957rzVLkNx3331jm5gVK1aYYcOGmX/9619xdc7Qq1cve/6ehJCg9Mgjj5irrroqqCrKJhGS\nVBwEJBBfc801gYtt3769GTBgQGCdM0r0Vtp2223N/vvvb5544glXFXWXoCfxO0zAnjlzppk8eXJU\nn6CC3nU/rVy50lx//fW+qcK83vNu3brFtXPPElfhGSTunXTSSYGfw1dffdVMmzbNtj7mmGOsWCqh\nMijpO6F58+ZBVda2Zs0aI/HWCZZhDY8//vhAEVX7OmnSJCOBMiy1bt3a9OvXL/CPFsL6VGRHYKyI\nEPUQgAAEIAABCEAAAhCAAAQgAAEIQAACuSaAwJhrwkmOj8CYGBQCY54Fxs4DTVnPoXaTyicNMeXv\nP5d4w9KsTVdglAfREUccYT0F3dQSN+SRJU+tL7/80pntPVcC47p166ygsmzZssh8Rx11lPWmkleT\nRBEJEkoHHniguf/++yPtXEZeaYcccogrWu8neaXVrl3bekdJyJg9e7atR2CMYCr4zK+//mpFQRdG\nWu+KPGaVUhEY/QeVcFWvXj2j70f/Hdf7veuuu/pNbV7eebfddlvELq9HtatVq5YVxvWOyltWKVZg\nlAejvHJdUlhs34MxyJtWHozyqoxNTmCU52OzZs3s51ReiBIx33vvPSPRT0n1l19+eZww5wuMbmwJ\nrxpLnqJuXaqTJ+Z5553nmkXdtScjRoyIzKdKeRzKi1JJn2N9HpUkEO611142735oLnHSul3SXup7\nR39ooGeRd6iSOEj4zVZCYMwWScaBAAQgAAEIQAACEIAABCAAAQhAAAIQSJcAAmO65LLcD4ExMVAE\nRgTGRG/Iv//978gv7+vUqWOFHBeaUSLAkCFDosI75kpgvOOOOyICjuaXt6NCLLqk0IsSGZywNHbs\n2LhQrbfffrsZM2aM7SLvq8suu8x1j9zVX2LlBRdcELGRKS4C+sd35MiRdtGpCowS4/QOy8tPSaKl\nvBIVkldJwuPJJ59s8/4PhWhVmF+lrl27RgnZrp08ASWM9ejRw5kC75mcwXjfffeZdu3a2ZDBsWFQ\n9XkdN26cDYOqiRXeWB6bfooVGBUm9fDDD4+EhvXZqt9FF11kwyX7Yyj//PPPGyfUiekpp5wSF/ZY\nntFPPfWU9V7s2LFj1BBiKaZKCu8q5gpj7NKPP/5o/4jAeVfqsx8kuLr2qdzdujfffHMbSrZ69er2\nXqNGDctBZYXK9S/n1Sqb8n5Zc7uy8n6YXd+uOqUg2x81f/ysqN5vSx4CEIAABCAAAQhAAAIQgAAE\nIAABCECgOAkgMBbIvhW7wOh7szik8gLR2WLZSAiMCIyJ3qMTTjghIq4ojONxxx0X1Vxnvkl0cSkX\nAqNEBD9kqkQQX1x0c+tMRokhSvKIevzxx12VvV944YXmmWeesXmdwSjvRVLVI+CLYKkKjPKK9d81\n0Vm1apW57rrrLKgGDRqYoUP/8Dj2yf3jH/8w77zzjjWFeTn67RPlMxEYE42rOnlSjh492jaTR+Gg\nQYOiuvgCo4RBeTlKWPOTBFeFg1WS8Od//mWTh+GNN96orE3ycow9d9LVScDVv3ES7VzyecumsMhB\nYZV1JqP7gwGdSzx48GA3REZ3BMaM8NEZAhCAAAQgAAEIQAACEIAABCAAAQhAIAsEEBizADEbQxS7\nwJgNBonGQGBEYAx7P/TLf/+Mtblz55qtttoqrrlEiMcee8zacyEwvvDCCxHxQOEUb7rpprg1OINC\noLrQi/JG9IULiUQPPPCAbdq3b9+Il5vry71qEMhEYPzb3/5mNt100zgQV155ZSQkZ2yIUzV+9tln\nbchg5Tt06GD69++vbFoplwKjP7ZCn+r8VD/5AmOYJ+asWbPs2Yjqd+SRRxp5OfpJXprjx4+3pt13\n392cuvEM1lSS/lDg4Ycftl30hwL6zIclhaVVeFolhWT1vQPD+lRkR2CsiBD1EIAABCAAAQhAAAIQ\ngAAEIAABCEAAArkmgMCYa8JJjo/AmBgUAiMCY9gbohCGLnShPAYlPgSlCRMmGAkwSrkQGBUONUjU\nCVqLb9N6fU9HnXN3/vnnR5q0adPGhomUIKSwq5tttlmkjkzxEkhXYNS5hNdee23gg/tClrzzfOFa\nHebNm2f0OXBJHns6O1FnMSrEZ2y4Utcu6O6LgInOOQzqK5vOWXzzzTft2ZHff/+9cf8ZiW0vr0B5\nB/rJFxiPPvpo06lTJ7/a5j/44APz0EMP2bzOY+3WrVtUm5dfftnojwKUdH7rfvvtF1VfUcFfQ0Vt\n/XqFPPbDqPp1qeQRGFOhRVsIQAACEIAABCAAAQhAAAIQgAAEIACBXBBwv9Nr0qRJRsOXbfQiKs9o\nhBLvjMCY+AVAYERgDHtDFixYYA477DBbHRRy1PXzPQxzITBKOHjiiSfcdEnfFQ7VD9+oUIxnnHGG\neeWVVwLHkJgiUUVXNjyhAifBmHMC6QqMQR59brEKK6rwoko33HBDXNhQ/TMt0W3hwoWuS9RdnsAS\nsnVVdIZeJgKj/r2TkJ5MqkhgDAp/qnH1jAoxrNSzZ0/TvXt3m3c/5M0sb2cleS/KizGVpM/67Nmz\nU+li2+qPB7IROhyBMWX0dIAABCAAAQhAAAIQgAAEIAABCEAAAhDIMgEExiwDTXc4BMbE5BAYERjD\n3hCFQhwwYICtlvj26KOPBjaVx9HAgQNtXS4ExnPPPddMmzbNjq95/vznPweuI9a49957m9q1a0eZ\nf/vtNxveUWfmKZRjUJJX1t13312hEBTUF1v+CeRDYNRTu/Ny33rrLbNkyZJAEBK8TzrppITvVroC\nox9aVJPL+3HPPfc0W265ZVTY17Fjx9q1yX7FFVdErdP3HjzllFNMq1atoupVqEhgHDdunNEfJyhJ\n0N95551tPtkfCq/qPptdunRJun+zZs1MrVq1kp0mtB0CYygaKiAAAQhAAAIQgAAEIAABCEAAAhCA\nAAQqiQACYyWBrmiaqiAw6owp35F18803N7qykRAYERjD3qPPP//pzcJgAAA63ElEQVTcHHTQQbZa\nIUSdyBfbfvLkyWbIkCHWnK7AqBCrLsSk7vvuu29kmpEjR5p77rnHlq+55hor0EQqM8isWLHCSJR5\n4403rIekwkm6dOeddxqd50gqPgL5Ehh9Uj/99JP56quvzCeffGLmzJljw5a6+hNPPNEoPG9YSldg\nlCiuz6zSoYceag444ACb93+sXbvW6DOklCuBUd8TEiqVjj322EiYZWtI4sdzzz0X8TIOOuMxiSEy\naoLAmBE+OkMAAhCAAAQgAAEIQAACEIAABCAAAQhkgQACYxYgZmOIYhcY9cvmqVOnRqFo2rRpwl9Q\nRzWuoIDAiMAY9oqsW7cu4sFUp04d61UUFN7RPyMxSGD0PRAVnjQobrQ8E50oESswTpo0yVx66aV2\nmYMHDzZDhw4NW3Ladj3rxRdfbJ5//nk7xgknnBB6Hl/ak9CxUggUgsDoP+j69euNwobOnz/fml0o\nXr+Nn09HYPT7JDpLUp6Vd9xxh50uVwKjPJ/1mVXaf//97TmntpDkDwmyEydOtK0PPPBAc/DBByfZ\nMzvNEBizw5FRIAABCEAAAhCAAAQgAAEIQAACEIAABNIngMCYPrus9kRgTIwTgRGBMdEborMXnWff\nk08+adq1axfX/PDDD7eegKoIEhivvvpq8/DDD9t+CrMqgcVP8vbaZ599jLyrlGIFxnfeecf07dvX\n1m299dZGn+nNNtvMlrP5QwLQEUccYYeUsHH//fdnc3jGqiQChSYw6rHlzThmzBhLoGXLlua0005L\nSMMJ6nXr1jV//etfE7ZVpQTyq666yrZr2LChueiiiwL7PPXUU+bNN9+0dbkSGOVFKW9Kl/T5jw1V\n7OqC7l9++aWRB7GSnn/48OGmZs2aQU1zYkNgzAlWBoUABCAAAQhAAAIQgAAEIAABCEAAAhBIgQAC\nYwqwctkUgTExXQRGBMZEb4gfnlRhF0ePHm2qVasW6aLwovL2cylIYPQ9HBUyccSIEa65vfv1MsQK\njLKdfPLJ5rXXXlPWnH322eaSSy6JWoet2PhDZyzOmDHDyIvLD7Oq+tdff920aNHCbLvttq551F3z\nKlSr0nHHHWeuv/76qHoKxUEgHwLjxx9/bN+rLbbYIhCSRD2Je0oS051gHth4o/HWW281y5cvt9UK\nP7zddtuFNY3Y9e7+8ssvtjxs2DBTv379SJ0y+q6/6667IrZcCYwK563P9OLFi+1c7du3N8ccc4yp\nUaNGZG6X0XmO+qzq/EQ/3XfffUZMlbp27Wq9GIO8p3Xu5aJFi6wA2bx5c3+ItPMIjGmjoyMEIAAB\nCEAAAhCAAAQgAAEIQAACEIBAlgggMGYJZKbDIDAmJojAiMCY6A359ttvozwOJRTI+2qrrbYyb731\nVuTsRTdGkMD44YcfRp1neNZZZ5mePXsahXV84YUXzAMPPOC623uQwKiz7NTHJXlWDho0yAoTEi7k\n9bRgwQLrKbls2TJz4YUXmvPPP981t/dTTz3Vej/27t3bhm1UqFaJMFqfxEd/HcpL2CAVNgG9Q+47\nzK1UZ2u6EJsKJ+2/N2ojEbBBgwaueST8roRnhckNShLWv/76a1t1ww03xIllY8eOtULXHnvsYdq2\nbWvkaauwwjo/V++uRG+XFA5YZ5omSk8//bQ9G1Rt5MXXpUsXO6YT6bRWzeGn8ePH2zDGsum9lsC+\n6667WtFdIpzONvRTrgRGzaHnvu222yLT7bDDDkZewU4o1ffKvHnz7NWvXz+jz7OfVH/LLbdETNpH\nhVvVvlWvXt16VWs/Zs6caVauXGn3uHv37pH2mWQQGDOhR18IQAACEIAABCAAAQhAAAIQgAAEIACB\nbBBAYMwGxSyMURUFRnl76BfZ2Ujul/P+L9yzMW6qY8jrJVEKqvdt8mRxydmdTWVdfll5/5Lnm8oS\nLHRmmsq6r1692g7bdfo5bvis3ss6nWzKeg+3Y5ZPvMCUf/BiVsd3g1W7eqHLpnx/5JFHIuEXgzpL\nSHHhTYMERvVx4l5Qfwkl8uqaNm2arQ4SGFXx7LPPmssvvzwyV9BYzpZIYHRtwu5HHXWUFTeCPKbC\n+mDPDwGF773ppptSmrxDhw6mf//+kT4uHGk2BMbIoCEZefNp7orerVWrVhl5DzuPxNjhevXqZbp1\n6xZl/vHHH43Ez0RJIp3+TVTKpcCo8efOnWvPnlQ+UQoSGNX+3XffNQrLHMbAH1MiMgKjT4Q8BCAA\nAQhAAAIQgAAEIAABCEAAAhCAQDETQGAskN3zBUZ/SfIy2WmnnXxTVvM6N05eVbFJIRpbtWoVa85b\nGYExvx6MlbXxmQiMWuO//vUvI8/D2CQxTl6NLkxqmMAowWTo0KF2HH+M1q1bm1GjRhl5bN1zzz22\n6vHHH4/zaHJ95J2os+a0nqAkT6c+ffqYo48+2shD0U8KUTlp0qTIGXR+nfLyrpLXY1g4x9j2lPNP\n4IcffogLuVvRquQtJ1HLJScwJjq78I477jBLliyxXW688UbrRef66/7222+bOXPmmE8//dQ3R/IS\n8ySAdezYMa5vpFFM5ueff7YincIQu3CprsnBBx9sPQJd2d3lOajPks5B9JPCkEpc7NGjhw0DLNFO\nXo4Kpeon/Xs5ZcoUa5Knss6LjE0fffRR5HzSIKHTby9v0smTJxuFQg1KnTt3tp7C8ogOSvJOVH95\nJwcl/WGM/i2XaBzr0RnUPhkbHozJUKINBCAAAQhAAAIQgAAEIAABCEAAAhCAQC4JIDDmkm4KY4cJ\njBI2snVmU9ByZs+ebZYuXRpXhcAYh8QanNdhcK2xHoixdX4f552oNs7ubCrr8svK+1e+PBhjnylX\n5UwFRq1LjHQu2gcffGDFiXbt2lkvKL3rziMsTGBUf+2BBBCFa1Re3lwSXtJJWovEcZ3zJk9TeZ9J\nIHIhGBON+dNPP9l++pKWh6qEie233940atQoLvRlonGog0AsgV9//dW490oCocKbSjyrV69e0sJi\n7JiplvXZkvCqdcgjW+927HmMqY6ZaXt9XrUmhT5VEhOJg7Vq1UpqaH1Xy1tVz6Sx9L3hrqQGSKER\nAmMKsGgKAQhAAAIQgAAEIAABCEAAAhCAAAQgkBMC+j2YUqwTTaqTlW38ZWHi2JGpjlhi7fVLzXXr\n1sU9tX7hW7t27Th7tgzyvFizZk3ccDr/a/PNN4+z58uAByMejJm+e8kKjJnOQ38IQAACuSaAwJhr\nwowPAQhAAAIQgAAEIAABCEAAAhCAAAQgUBEBBMaKCFFfEAQQGBEYM30RERgzJUh/CECgUAggMBbK\nTrAOCEAAAhCAAAQgAAEIQAACEIAABCBQugQQGEt374vqyREYERgzfWERGDMlSH8IQKBQCCAwFspO\nsA4IQAACEIAABCAAAQhAAAIQgAAEIFC6BBAYS3fvi+rJERgRGDN9YREYMyVIfwhAoFAIIDAWyk6w\nDghAAAIQgAAEIAABCEAAAhCAAAQgULoEEBhLd++L6skRGBEYM31h33//fXPuuefaYQYMGGDOPvvs\nTIekPwQgAIG8EEBgzAt2JoUABCAAAQhAAAIQgAAEIAABCEAAAhDwCCAwejDIFi4BBEYExsJ9O1kZ\nBCAAgcolgMBYubyZDQIQgAAEIAABCEAAAhCAAAQgAAEIQCCeAAJjPBMsBUgAgRGBsQBfS5YEAQhA\nIC8EEBjzgp1JIQABCEAAAhCAAAQgAAEIQAACEIAABDwCCIweDLKFSwCBEYGxcN9OVgYBCECgcgkg\nMFYub2aDAAQgAAEIQAACEIAABCAAAQhAAAIQiCeAwBjPBEsBEkBgRGAswNeSJUEAAhDICwEExrxg\nZ1IIQAACEIAABCAAAQhAAAIQgAAEIAABjwACoweDbOESQGBEYCzct5OVQQACEKhcAgiMlcub2SAA\nAQhAAAIQgAAEIAABCEAAAhCAAATiCSAwxjPBUoAEEBgRGAvwtWRJEIAABPJCAIExL9iZFAIQgAAE\nIAABCEAAAhCAAAQgAAEIQMAjgMDowSBbuAQQGBEYC/ftZGUQgAAEKpcAAmPl8mY2CEAAAhCAAAQg\nAAEIQAACEIAABCAAgXgCCIzxTLAUIAEERgTGAnwtWRIEIACBvBBAYMwLdiaFAAQgAAEIQAACEIAA\nBCAAAQhAAAIQ8AggMHowyBYuAQRGBMbCfTtZGQQgAIHKJYDAWLm8mQ0CEIAABCAAAQhAAAIQgAAE\nIAABCEAgngACYzwTLAVIoJQExvLycuOu33//Q1hU+bfffrOXbBs2bDDr16+3Zd1Xr15td63r9HMK\ncPeSX1K1qxcm35iWEIAABEqUQDICY/Xq1U1ZWZmpVq2avZSPvYRP9Uqqc8nZYu2u3m/rbP69onq/\nLXkIQAACEIAABCAAAQhAAAIQgAAEIACB4iSAwFic+1Zyq0ZgRGAsuZeeB4YABCAQQgCBMQQMZghA\nAAIQgAAEIAABCEAAAhCAAAQgAIFKI4DAWGmomSgTAgiMCIyZvD/0hQAEIFCVCCAwVqXd5FkgAAEI\nQAACEIAABCAAAQhAAAIQgEBxEkBgLM59K7lVO4Ex3w+uUKWJUlC9bwvKK+SpkupiLz9EqvIKk+ru\nfojUmjVr2jEIkWox8AMCEIBAlSbgBEb9O6Dvf4VDdXeFN1VZd4Uq1d3lVfYvQVKdkh/WNCxvG8a0\ndTb/7vf37eQhAAEIQAACEIAABCAAAQhAAAIQgAAEqh6BJk2aZPRQZRuFkcTKS0bD07nUCSAwlkeE\nRQTGUv808PwQgECpE0BgLPU3gOeHAAQgAAEIQAACEIAABCAAAQhAAAKFQwCBsXD2gpUUMIGKdPSg\net8mcdAlZ3c2lf1LdnfJLu9F58G4YcMGI88Vd3euyHgwOrrcIQABCFRdAk5gbNCggfVcrFGjRuQu\nj0R5MOqSJ6HzYAzyYhShIA9GZ1N9kDdikE1tXaqo3rXjDgEIQAACEIAABCAAAQhAAAIQgAAEIAAB\nPBh5B0qCgBMFwx42qN63OTFR/Z3d2VT2Lycu6i47AmMYdewQgAAESosAAmNp7TdPCwEIQAACEIAA\nBCAAAQhAAAIQgAAEqjIBBMaqvLs8W4SAEwUjhphMUL1vc2Kiujm7s6nsXwiMMXApQgACEICAJYDA\nyIsAAQhAAAIQgAAEIAABCEAAAhCAAAQgUFUIIDBWlZ3kORIScKJgWKOget/mxET1d3ZnU9m/EBjD\nKGOHAAQgUNoEEBhLe/95eghAAAIQgAAEIAABCEAAAhCAAAQgUJUIIDBWpd3kWUIJOFEwrEFQvW9z\nYqL6O7uzqexfCIxhlLFDAAIQKG0CCIylvf88PQQgAAEIQAACEIAABCAAAQhAAAIQqEoEEBir0m7y\nLKEEnCgY1iCo3rc5MVH9nV33oAuBMYwydghAAAKlTSBbAmNZWZnRpeTuylerVk03m3x7Ipur0z2o\nj19PHgIQgAAEIAABCEAAAhCAAAQgAAEIQAACjgACoyPBvUoTcKJg2EMG1fs2BMYwcn/Yq129MHGD\nSq5duXKlGTdunJ21ZcuWpkePHjlfwTvvvBOZM3ayI444whx44IGxZspFSGDdunXm9ddftytv2LCh\nadWqVRE+BUvOFwEExnyRZ14IQAACEIAABCAAAQhAAAIQgAAEIACBbBNAYMw2UcYrSAK+WBi0wKB6\n31a0AmO9Rqbs8Os2ul3+bsonX27MqmVBj5+xrdAExs8++8x0797dPteRRx5pRo0alfEzVjTAs88+\nay644ILAZsOGDTNnnnlmYB3G4iLwn//8x4wcOdIuun379mbAgAHF9QCsNq8EEBjzip/JIQABCEAA\nAhCAAAQgAAEIQAACEIAABLJIAIExizAZqnAJ+GJh0CqD6n1bsQqM1QZOMKZxe/vI5Z/MMOXjcyNy\nZUNgnD17tunfv79dq4S6MLEuaP9ibZkIjHfffbe55ZZb7JDjx483nTt3jh0+sPz++++bSZMmReq0\nhtdee82WERgjWIo+U+wC42+//WaGDx9u96Fp06Zm8ODBRb8nxfQACIzFtFusFQIQgAAEIAABCEAA\nAhCAAAQgAAEIQCARAQTGRHSoqzIEfLEw6KGC6n1bKgKj+umX+Orj8q68YcMGo2v9+vX2klih1HX6\nOUHLythWbeD4jQJjBztO+cfTTfmEszIeM2iAbAiMb7zxhjnhhBPs8P/zP/9jLrnkkqCpkrJ9+eWX\npmvXrrbtcccdZ66//vqk+qnRmDFjzO23327bK8xqly5dku7rN3zhhRci4g0Co0+muPM//PCDGTFi\nhH2IffbZx/Tt27eoHkjfP5dfvtGbeWPacccdzXnnnVdU6y/2xcYKjDVr1jQ1atSwl85PrF69ur10\nFqIrKx92iYd/biJnMBb7G8L6IQABCEAAAhCAAAQgAAEIQAACEIBA8RBAYCyevWKlGRDwxcKgYYLq\nfVuxCozGhUj9bb0pf+YvG0OkLg96/IxthSYwZvJACIyZ0KNvoRNAYMzvDiEw5pc/s0MAAhCAAAQg\nAAEIQAACEIAABCAAAQhkjwACY/ZYMlIBE/DFwqBlBtX7tqIVGIMeNgc2BMZ4qHgwxjPBkn8CCIz5\n3QMExvzyZ3YIQAACEIAABCAAAQhAAAIQgAAEIACB7BFAYMweS0YqYAK+WBi0zKB636a8K/t3Z4+9\nu5Cosru87vrlvq7KCpEa9Ky5sKUjMOrMwkcffTSynKVLl5rp06fbss6GU/jJ2HTWWWeZJk2axJrN\nunXrzOjRo21Y2tjKPfbYwxx22GGx5kj52WefNQrP6tLbb79tPv74Y1vcd9994+ZTCMNrrrnGhi90\nfYLumQiMep5//OMfZt68efZSyNfddtvN7LnnnubII480e++9d9CU2HJAQJ/VF198MfL596do1KiR\n3RPfFpt/+umn7Xu55ZZbmu7du5uFCxeaDz/80Hz00UdG4VZ32mkn07JlS3PAAQdU+E4ppPKMGTPM\nkiVLzHfffWd++eUXU7duXbPNNtuYFi1a2HEU9tRPP//8s5k6dWrEpO+hOXPm2PImm2wSuP5WrVrZ\n9y3S6f8yP/30k1m0aJFd//LlyyNraNiwodl+++3NDjvsYD+3CvsZlNR3/vz5tkpnm2rtc+fONZ9+\n+qkdU4z0+Ran7bbbLmiIONuCBQvs5/Wbb74x+g4RE62jcePG9nOifFjS97M+Y5r/q6++Ml9//bWp\nX7++7bvLLruYDh06RIUfDRsnFXsigVHfLX5YVD+fTIhU18atxw+dmsjm6nQP6uPXk4cABCAAAQhA\nAAIQgAAEIAABCEAAAhCAgCOAwOhIcK/SBPSL5EQpqN63Ke/K/t3ZY+9OVJTd5fMhMJZ1OtmU9R5u\nH7184gWm/IMXE2FIuy4dgXHKlCnm/PPPT2nOxx57LFBcW7FihRUDggaTIDdq1KigKmu78sorzYQJ\nE0LrgyokQEoMSJTSFRglPp1zzjlm8eLFocNfeOGFtk1FawgdgIqkCaxdu9YKykEd2rdvbwYMGBBU\nFbFdeumlNr/tttua/fff3zzxxBOROj8jAfm0004LFXhmzpxpJk+e7HcJzN98881R9pUrV6Z0Bqk6\n9+rVy3Tr1i1qHBXcs8RVeAYJeieddJIV6jyzzb766qtm2rRpNn/MMcdYsVRCZVDSHxM0b948qMra\n1qxZYyTeOsEyrOHxxx8fKKJqXydNmmQkUIal1q1bm379+pnNNtssrEnKdgTGlJHRAQIQgAAEIAAB\nCEAAAhCAAAQgAAEIQKBACSAwFujGsKzsEnCiYNioQfW+TXlX9u/OHnt3oqLsLp8XgbHzQFPWc6h9\n7PJJQ0z5+8+FIcjIno7AKA/G8ePHR+aV99Frr71my/Jg3GuvvSJ1LjN48OA4j0LVybPqsssui+zR\nqlWrImNVJDDKg/H11193U5h33nknyoMx1iNM3lm58mCUuHjIIYdE1rL11lub3r17Ww81ebw9//zz\nkbrLL7/cDBo0KFImkxsCv/76qxUF3ede3qXOwzUVgdFfnYSrevXqmS+++MLIO9Wl008/3ey6666u\nGLnLO++2226LlOX1qHa1atUyEtfleecE6ViBUR6MEvNdUrhn34Oxbdu2ripylwejvCpjkxMY5fnY\nrFkz+17KC1Ei5nvvvWck+impXu9nrDDnC4xubAmvGkueom5dqtPn7rzzznPNou7akxEjRkTmU6U8\nDuVFqbRs2TLrEam8BMLY7xLNJU5at0vaS3mCiqeeRZ6QSuIg4TdbCYExWyQZBwIQgAAEIAABCEAA\nAhCAAAQgAAEIQCDfBBAY870DzF8pBJw4EDZZUL1vU96V/buzx94lJsqmX+YjMIZRj7YrTOkJJ5xg\njf/zP/9jLrnkkugGKZQ+++wzG2ZRXSoSGGOHHTNmjLn99tutedy4caZLly6xTZIqp+PBKG+rN998\n046vdV977bWmTp06kflmzZoV5TEnZhJoSJVHQGFKR44caSdMVWCUGCcR0YXt1HeEvBJdiF4Jjyef\nfHLcwyhE60svvWTtXbt2jRKhXWN5AkoY69GjhzMF3jM5g/G+++4z7dq1MxIlY8OgSrTT50VhUJX6\n9OljPTb9RcQKjAqTevjhh0dCw/ps1e+iiy4yCr8amyS0O6FOTE855ZS4PzxQ+NmnnnrKei927Ngx\nagixFFMljS/mEvNd+vHHH839999vnHelBMYgwdW1T+Xu1t2gQQPLUBxr1KhhLz9EqsKjKlypbC70\nadBdc7uwpq7ercfZXdlv69v8fFAfv548BCAAAQhAAAIQgAAEIAABCEAAAhCAAAQcAQRGR4J7lSag\nX+QnSkH1vk35oLKzx96TERj1i/5vv/3WLqvr9HMSLS/turIC9mCMfahSFxglepx55pkWi4QmhW+U\nh1psevDBB63wKLtCpaYaZjZ2PMqpEfBFsFQFxqOOOsroXE8/ydv2uuuusyaJTkOH/uFx7LfReZzy\nrFUK83L02yfKZyIwJhpXdfKk1FmoSvIojPWw9QVGCYPycpS45icJrgoHqyThT58FP8nD8MYbb4yY\n5OUY62XsKvW9rD/y8EMJ+7zVbtiwYYHhXHUmo/7YQEke1fKezkZyAuOf/vQn++yZCoy+IIjAmI0d\nYgwIQAACEIAABCAAAQhAAAIQgAAEIACBZAkgMCZLinZFTcAXB8MeJLaNX1Y+qOzssfcwgVF2efro\nQmCM3olSFxj/9re/mYceeshCufXWW43EqKAk7yoJW0o6J09eZaTKI5CJwKg93nTTTeMWq3NAXUjO\n2BCnaqwwvjNmzLD9OnToYPr37x83RrKGXAqM/tjyrL344oujluULjGGemPLSlbiuJC9eeTn6SV6a\nLrTy7rvvbk499VS/usK8QjM//PDDtp1CpyqEalhSWFqFp1VSSFZ5FWaaggRGiYwSQdPxYExFYPTb\nhj1HMm3C+mKHAAQgAAEIQAACEIAABCAAAQhAAAIQKC0CCIyltd8l+7S+OBgGIbaNX3YCouvrymF3\nX2B0YVJlQ2B0BOPvpS4wSiiZPn16PJgEFoV1nD17doIWVGWbQLoCo84lVMjboOQLWfLO8z3u1H7e\nvHlmwoQJka7y2FOYUp3FqBCfseFKIw0DMr4ImOicw4Cu1qRzFhXGV2dHfv/990Y8glL9+vWtd6Bf\n5wuMRx99tOnUqZNfbfMffPBBRGjv1auXFdH9Ri+//LJR+GGlI444wuy3335+dYV5fw0VNvYa6IxX\nP4yqV5VStiKB0YmMyYZI9QVB5WPL/uL8Ot/u55Np47cnDwEIQAACEIAABCAAAQhAAAIQgAAEIFC6\nBBAYS3fvS+rJfbEw7MFj2/hlJyS6vq4cdkdgdKSSv5e6wChvKgk2qSadN0mqPALpCoxBHn1u1Qor\nqvCiSjfccENc2FB9z8i7deHCha5L1L158+ZGno26KhKIMhEYJYBPmTIlau6wQkUCY1D4U42lZ1QY\nYKWePXtGzlK1ho0/HnvsMTN37lxblCgvL8ZU0hNPPJGWKK9QxI0aNUplqsC2CIyBWDBCAAIQgAAE\nIAABCEAAAhCAAAQgAAEIFCEBBMYi3LRiWvIXX3xREMvVL+grSrFt/LKf1zgqh12q9wVGtXPei/Jm\nVHhU58nozh/jDEZjSl1g3GOPPczatWv1+pibbrrJ6Dy+ipI811L14KpoTOoTE8iHwKgV6btjzpw5\n5q233jJLliwJXKTOKzzppJMSiozpCox+aFFNLu/HPffc02y55ZZRYV/Hjh1r1yb7FVdcEbVO33vw\nlFNOMa1atYqqV6EigXHcuHFmwYIFtt8ZZ5xhdt5557gxEhkUXlVhVpW6dOmSdP9mzZoFnomaaK6g\nOicwah9caFTd5bHowqRKJPY9GDWObGGXP48vMPt5N4bfNigf2yeoDTYIQAACEIAABCAAAQhAAAIQ\ngAAEIACBqkGgSZMmGT0IAmNG+OhcEYFSERjFQQKAkhMUdZfNlZV3wqK7IzBaZPZHqQuMOm/OCR9T\np041LVu2/C8ccgVDIF8Cow/gp59+Ml999ZX55JNPrOiosKUunXjiiaZNmzauGHdPV2C8++67zeef\nf27HO/TQQ80BBxwQN7YE8muuucbacyUwTps2zUioVDr22GNNx44dbT7ZH88995x55ZVXbPOgMx6T\nHSfddmECowuNqrtEPl9gdKKfbEoq+5e/FtfWtQur8+1+3u/v28lDAAIQgAAEIAABCEAAAhCAAAQg\nAAEIVD0CCIxVb0+r1BM5gTEZb6xcPrhEvopSUBtn093lNY5fdsKiu6tOef+SoKiyfrnvezCuWrXK\nLgsPxmgPxrPPPttceumlFW1ZaL3Chnbv3t3WS0QYNWpUaNvYijFjxpjbb7/dmh944AHTtWvX2CZJ\nlSUkDBo0yLa98MILjUIsJkpDhw41Tz75pG2iEJFBAk6i/tRVDoFCEBj9J9X3icKGzp8/35p1rqHO\nNwxL6QiMfp9EZ0nKs/KOO+6wU+dKYJw1a5aZNGmSnWP//fc3ffr0CXvUQLu8QCdOnGjrDjzwQHPw\nwQcHtsuV0QmMW2yxRZQHo/7YxHkx6u5fTvRzAqO7O5HRrdUvuz6uTvcgm1+fbJvYPpQhAAEIQAAC\nEIAABCAAAQhAAAIQgAAEiouAfsephMBYXPtWcqstdYFRYqPERV9g1C/rndCIwPjfj4TCHh522GHW\ncMwxx5ibb775v5Up5jIRGBWC0Xlh3XLLLQnFmkTLSvV5/v73v5sRI0bYIXv16mXuueeeRMNTlycC\nhSYwCoO8GSWMK8nz9bTTTrP5sB9OvK9bt67561//GtYsYl+3bp256qqrbLlhw4bmoosuitT5maee\nesq8+eab1pQrgVFelPKmdOnqq682tWvXdsUK719++aW58847bTs9//Dhw63QV2HHLDWIFRglLLpL\nwmFsmFTZnDDohEV39wVFLc8vuz7+soNsfr0bI9ZGGQIQgAAEIAABCEAAAhCAAAQgAAEIQKBqEUBg\nrFr7WWWfBoERgTHZl/uHH36IhDvceuutzYwZM6LOdkt2HLXLRGB88cUXjTwolRQK0nlkWUMKP1au\nXGnatWsX6aGz8xJ58qr9n//858g5jDrL7qCDDor09zMKkalQkfJWa9SokV9FPscE8iEwfvzxx2bb\nbbc18noLShL1JO4p7bPPPqZv375BzSK2W2+91SxfvtyWhwwZYrbbbrtIXVjmyiuvNL/88outHjZs\nmKlfv35UU33X33XXXRFbrgRG/dHGvffeaxYvXmznat++vdEfJLhw05EFbMzoPEd5XOr8RD/dd999\nRkyVum70UJYXY5D4Jq/zRYsWWQGyefPm/hBp5xEY00ZHRwhAAAIQgAAEIAABCEAAAhCAAAQgAIEs\nEUBgzBJIhsktAQTGPwRG/aJaXozOe9HdJSopESL1j7CzCmvqhIPWrVvbM9b+9Kc/Wa8ecdJ5axIu\n/PTrr7+auXPn+ibr0eW8tPbaa684jyuNGSs6uAG+/vpr06VLF1c0hxxyiA1XWq9ePStCyHtIokSQ\nIBHp9H8ZiTeTJ0+2JYk4/fv3N9tss40tSyxyHpuu3xNPPGEuu+wyVzTHHXecnb9x48ZGXmTy3lKI\nyMcff9wKkY8++qgVGSMdyGSVgD6n7jvMDbxixYpIiM2mTZuanj17uip71776QrJ7DyUQXnzxxVFt\nXWH06NFG753SDTfcECeWSWyW0LXHHnuYtm3bGgnwderUMd988409h1FivEsDBw40u+22mysG3p9+\n+mmjM0+V5MWn911jOpFOa1XZT+PHj4+cESpxcd999zW77rqr/V7T2nS2oZ9yJTBqDj33bbfdFplu\nhx12MAp36oTSb7/91sybN89e/fr1M/oO8JPq5Z3skvZR4Va1b/Ig/P777+1+zJw50+g7WnvsQi67\nPunencAoPs5z0d2DzmHEgzFd0vSDAAQgAAEIQAACEIAABCAAAQhAAAIQCCOAwBhGBntBEXC/nPd/\n4Z6PBcrrJZkU286VY+8aS6Jh0F1tVadLeRce1YVK1ZlplSYwdjrZlPUebtdZPvECU/7Bizaf7R/V\nrl6YlSFfffVVI4EkLOmsub333juqWu+YxIVUkjy8Ro4cGdpFdYlClMr7SWJARUnhGDWXBIvYJDFE\nAoaf9I7Iu0weWskkBMZkKKXfRvt20003pTRAhw4drJDsOmVTYHRjht3lzScRuyLxW6GZ9Y47j8TY\n8RSit1u3blHmH3/80YqfUcaYgkS66dOnW2suBUZNoD8q0PdBRSlIYFSfd9991555GsbAHzfXAmPN\nmjUjoVElKOq7RXuofCKBUXUuuT2PvcfWu3LY3fUPq8cOAQhAAAIQgAAEIAABCEAAAhCAAAQgUPwE\nEBiLfw9L4glKSWCUmOguJy7qnk+BsbJesmwJjFqvzpOTcCbPv2XLlkU9gjz8JOD4acmSJdbD0LdV\nlJfoUJFw9M4775hHHnnEhmqNFQiTFRi1Dnm8jRo1ynoeurCMsssrUYJqUNLcOvPu/fffD6q2DPr0\n6WOOPPLIOI/OwA4Y0yKgsL3uXMxkB5C3nN4vl5zAmOjsQoXh1XusdOONN8aJ12+//baZM2eO+fTT\nT92wUXeJefKwk4dvMsK3Ov/8889WpJMnowuX6gZVyNAg0V6eg/J+lCetnxSGVOJijx49jAulKi9H\nhVL1k8THKVOmWJPOidR5kbHpo48+Mvfff781Bwmdfnt9tvQ9oVCoQalz586m60Zv46222iqo2non\nqr/OSw1K+sMYeYzqOyfWozOofTK2IA/GIIHRCYvuLuHPiX9OWHR3zevqYu9uTc7uymH3ZNuF9ccO\nAQhAAAIQgAAEIAABCEAAAhCAAAQgUPgEEBgLf49Y4UYCpSAwOlHRv/sCoxMZ8+HBWFkvYTYFxspa\nczHM48KiKmzspptuas/hUzjIMMGkGJ6JNaZPQOGA9Y//6tWrrUCo8KZ6FxS+N1lhMf3Z/+ip7zkJ\nr1qHPLG33377uPMYM50j1f76btWaFPpUSUwkDtaqVSupofQdrT8i0DNpLAm27kpqgBQaVSQwah8l\nHDph0d0l/PmXpkRgTAE8TSEAAQhAAAIQgAAEIAABCEAAAhCAAAQiBBAYIyjIFDIBBMY/QqU6L0b9\nQr4yQ6RW1ruBwFhZpJkHAhAoZgJhAqPOYZRgiMBYzLvL2iEAAQhAAAIQgAAEIAABCEAAAhCAQHEQ\nQGAsjn0q+VUWisDoNkLeN4lSUL3zTFQ/v15eL87m2rh7kAejbL7AKNFR55opdZ1+jr0X6w8ExmLd\nOdYNAQhUJgEnMMrLUmKihEWFSM2mwBgU5jTI5j93RfV+W/IQgAAEIACB/9/eua3YUbRheP0HigQi\nxN1BCCQxQZDE5Cq85NyAB57EzT2oRBCNBAIemIM/79LHfFNT3atnZs1Mb56CXt+2qruemjl66bUk\nIAEJSEACEpCABCQgAQksm4AC47LPbzNPvzaBMQeHyIiYOGQRGXl7MVaBcTN/+m5UAhKQwCkCYwIj\nby/GRvAb+nrU1LhygyoO1ny9ee2pefxDdfq0EpCABCQgAQlIQAISkIAEJCABCUhAAssnoMC4/DPc\nxA62JjDmUBEWsVVgjJ/fUUNs9A3GTfwbuEkJSEACewJVYMxbixET81uRsUMCI7+1iHhYbRat4iC1\nFnftaWvtGr26OQlIQAISkIAEJCABCUhAAhKQgAQkIIH1EFBgXM9ZrnonWxEYc4gRFLF5q1GBcY/D\nDwlIQAIS+JfARQTGntCYZat4qMDon5oEJCABCUhAAhKQgAQkIAEJSEACEpDAIQIKjIcIWZ8FgS0L\njIiMERrzxiLX33//vf+q1MR//vnn/pz8DcZZ/Ln6EBKQgAQulQAC461bt078BiNvMPIWY/16VIRF\nLCIiwiI2D06t3UTtaWvM6+XNSUACEpCABCQgAQlIQAISkIAEJCABCayPgALj+s50lTtamsCYQ4gw\n2A7eTiTP7y4mpoZFWMQqMEJNKwEJSGDbBM4qMCI0hhoCI7YnJlKrlA+Ji+md0lPX1JeABCQgAQlI\nQAISkIAEJCABCUhAAhJYLgEFxpmc3bfffrvjMOojPX36dHfv3r2aOqr/ww8/7H7++edTa37xxRe7\nL7/88lT+uhJbEhgRHREWsREYq8hYf4PRNxiv6y/T+0pAAhK4egJVYBz6DcaIhLki+mGrmIiIWHPs\nhBpx7BTxcEpPXVNfAhKQgAQkIAEJSEACEpCABCQgAQlIYLkE0LTu3r17oU38760Icvp1rQstua3J\n33zzzX9fc1l3/vjx492DBw9q6qj+8+fPdy9evDi15sOHD3ePHj06lb+uxBYExvwL9a6Iisnnq1Cr\nwMhXpL558+a/vx2/IvW6/kK9rwQkIIGrI9AKjBEZ33vvvf3XpfL1qLER/FpxEUERMZC4Pr0CY6Wh\nLwEJSEACEpCABCQgAQlIQAISkIAEJNAjoMDYo3INuSowRlT84IMP9k+R31e6cePGpT3Rq1evdq9f\nv96vnz8GhDwFxsPIp2jqbQ8CYl09oiEDMZG+WHIIjIkjKuaKyJj8y5cv90soMEJSKwEJSGC9BBAY\nP/roo72oGHExImOuiIO5xgTGKiBWP8R6giNi5BjRKT1j861JQAISkIAEJCABCUhAAhKQgAQkIAEJ\nLIuAAuNMzqsKjF9//fWliopDW/7ll19233///b6swDhE6V2+FQ/fVd55bQ/C4buOd7+9mBxiYvXJ\nxSIyRlyMz9ekKjBWovoSkIAE1k2gFRjff//9vaCIwMhbjBH9IiBiQ6X6iRUYQ8EhAQlIQAISkIAE\nJCABCUhAAhKQgAQkcFYCCoxnJXZJ/QqM42B5s/LTTz8db7zCaise9m7d9pxHYMyciItVYIy4WN9g\n/OOPP/a39w3G3imYk4AEJLAuAgiMH3/88Yk3GBEWsYiLVVSsfqgoMK7rb8PdSEACEpCABCQgAQlI\nQAISkIAEJCCBqyKgwHhVpA/cR4FxHNCaBMbstAqPVXTEx/L2YmIExoiLCIyx+ZpUBcbxvx+rEpCA\nBNZEoAqM/PZi3l6MsMjViosRFusVHsSwSUyeXC+uNXzmEmslIAEJSEACEpCABCQgAQlIQAISkIAE\n1k1AgXEm56vAOH4QSxUYs6uIgwx8LHViLMJiLD0RExEZ+YrU2Fy///77vs83GPcY/JCABCSwagII\njJ988sl/v70YYRGRMeJiYkQ/xEbeViQfix9g+NiaOwS0zjnUa10CEpCABCQgAQlIQAISkIAEJCAB\nCUhg+QQUGGdyhksXGCN85fcbEciC9fbt27s7d+4chfAcBcZsrO53aKO1p+eTi8VHYCQXi7gY2wqM\n/CMPPYN5CUhAAhJYH4F8bXhERYTFWMRFRMUIf1xVYEQQbG0okWv9IYK1f6jHvAQkIAEJSEACEpCA\nBCQgAQlIQAISkMC6CKBL3L1790Ib+99bAeTda1oXWmqbk5cuMEbwevbs2YnDu3///u7JkycncucN\n1iIwZv/8q/RszUVIzEBsrAJj/Hw1Kl+V+ttvv+17/ZCABCQgge0Q+Oyzz/4TF/NVqREQW4ERUTEW\nITC2+iHWxlAkT9yzU3p688xJQAISkIAEJCABCUhAAhKQgAQkIAEJLJeAAuNMzk6BcfwgliwwZmcI\nh9Xv5RAVU8OPJY6NqMjFV6QiNBLzhiN9zItlrfZZkq/jrHGdqy8BCUhgawRakW1KTA8WETAxX3HK\nbyryFai8sVjfWsSnN/NZqycwkuO+OSt8bM0dOss651CvdQlIQAISkIAEJCABCUhAAhKQgAQkIIF1\nEFBgnMk5KjCOH8RcBcY8dSvE9XZSe3o+OUTFGpOLWJh8YoTDKiziYyMy1l6eNbmsw0W+fW6egXwb\nk+/Zs/T25puTgAQkMEcCZxHS2t42zv7IxXIhDKaOYJgcwiJCI7YVF5mfekbiXBncr43J157WT9wb\ndW6vbk4CEpCABCQgAQlIQAISkIAEJCABCUhgnQQUGGdyrgqM4wexdIExu0N0w7LjxOTwiVsxEMEQ\ni9DIG4vJ41OLTT5Xuz5xfT6eayhX61N72jnGEpCABNZCYIrA1ushF9v6iREGERmxERRTQ2AkH0s+\nlnVZK7xrrsb1LNJDreaHfPqH6uYlIAEJSEACEpCABCQgAQlIQAISkIAE1klAgXEm57p0gTHi1Xff\nfXeC5u3bt3d37tw5kTtvsBWBMXwQAuNHAKxx/FyIhoiIVVRMnZj+2LpWfNbHJ6523+SHBCQgAQkc\nhQBiHDaLxifGRyCM5UJQTIyoWN9eJE8/ayeu6ydmcD9i5lRbaz2ftXs1cxKQgAQkIAEJSEACEpCA\nBCQgAQlIQALrJaDAOJOzXbrAeNkY5ywwZu9VpBtjkb5ebwRABj3Y5CMkZlTBED9iYnzExio+0hPL\neq3dL/z2gzxxtamdZ5x33nnu5RwJSEACl0XgvCLa0LxW2CNuLWJhbH1DEYExed5orL3xM9KX0a67\nT779oI84lt6aG/LT65CABCQgAQlIQAISkIAEJCABCUhAAhLYJgEFxpmcuwLj+EFsTWAMDUTB6kew\nq6JhfITF6iMWkovNYD7CH33U9k3/ftBTc60/paedYywBCUhgbQSmCG1tD3Fs9SP6EcdHWKSviovV\nTy8XvYkzElcf/uSI6eX+Nd/zp/b15pqTgAQkIAEJSEACEpCABCQgAQlIQAISWDYBBcaZnJ8C4/hB\nzF1gzNNPFduqqMeua451yPVsFQ5TryJjatR5rsS9dZJjUCfWSkACEpDA5RBAAGR14tZGAETEQ2hM\nLhfiYurE9LfrEOd+rFdz7XMQj1nWGeuxJgEJSEACEpCABCQgAQlIQAISkIAEJLBeAgqMMzlbBcbx\ng1i7wJjdV4EP4Q9hMHX81KofcZEcX49Kvdp6D9YfsunNoP5PNO3zPHOmrWyXBCQggesncB5hrZ1D\n3LPJkUcwrLYVEyM0Moe+xPEzWp8c99g3/fvBOjU35PfmD/Wal4AEJCABCUhAAhKQgAQkIAEJSEAC\nElgfAQXGmZzpGgTGX3/99YQgdfPmzV2uY4wlCIzZ51RxLcJfOzKX+dWSj2UePjZ5xMTkEBrjZyTO\nII7l2heaD/qa9IlwSs+JCQYSkIAEVkxgiuA21IOwRx0b8TAjMcIivYm5qDMvefqwrIOlNzEj86aM\n3twp8+yRgAQkIAEJSEACEpCABCQgAQlIQAISWA8BBcaZnOXSBcY3b97snj17doLm/fv3d0+ePDmR\nO2+wNoGxJ+4h2NUauVZYDMfUEBVbgTE13mxML/OxrMs6NU6uDmrYWrss/yrvdVl7cF0JSGB+BK5S\nGONe2B6N1GodH6EPm3x9UzFxarnw69zq577EsdWvz1RrNd/zWaNXMycBCUhAAhKQgAQkIAEJSEAC\nEpCABCSwDQIKjDM5ZwXG8YNYo8CYHbdCGnFs69ccQmG11OvbiqmTr/eruZqPn5H6WcZZ+8+ytr0S\nkIAE5krgrEJb21/j+MTVxkdIDIcqNCJAtpa1sJnX+skxUsvAkh+yU/uG5puXgAQkIAEJSEACEpCA\nBCQgAQlIQAISWD4BBcaZnKEC4/hBLEVgzC6miG30YNl9jREPycW2V+ZVEbGtt2sQZx7rVr/mkq9j\nrFb79CUgAQlIYFysQ6DDhlf1EQzJITAmbq/a29bquvTVXPwM7oP9J9v/nNLTn2lWAhKQgAQkIAEJ\nSEACEpCABCQgAQlIYE0EFBhncpoKjOMHsSSBMTuZIsbRg4VAjREEycW2F/dr84nb+bUXn/tWm7lj\n9do75rPOWI81CUhAAnMncFFRjfnYdr/kY/HTgz8mMNLHXCz5WMXFUHBIQAISkIAEJCABCUhAAhKQ\ngAQkIAEJHJOAAuMxaV5grTUKjJ9//vnuq6++ugCVd1PXKDBmdwhw2JrDT416tW2eWhUVybW9WZtB\nP/GYZb2xHmsSkIAEtk4AYXAKhyr+pZ+5rVBInv5enZ5qa19dv/r0Jzc2pvaNrWFNAhKQgAQkIAEJ\nSEACEpCABCQgAQlIYB0EFBhnco5VYKyP9PTp0929e/dq6qj+jz/+uPvpp59Orfnw4cPdo0ePTuWv\nK7E0gTGcpohxtWfMT416tb187h3RsNbq87T51DJYt/X3xSv+qM9yxbf2dhKQwIoJXLdAVu9ffZAn\nRx6bGnnERXJY6sTYmicXm9Gu/092+LP2D3dZkYAEJCABCUhAAhKQgAQkIAEJSEACEtgKAQXGmZz0\nkMD4+PHj3YMHDy7tKZ8/f7578eLFqfUVGE8hOVfikFDW1omxuSl+bPVrjbcQqfOwdQ49vRq5atu1\nUuvl6hx9CUhAAhI4Kd7BY0yga4XAzEFM7NVYq/ZkDvk6h1xbT8yoPeSqPVSvvfoSkIAEJCABCUhA\nAhKQgAQkIAEJSEAC2yCgwDiTc3758uXur7/+OvU0t27d2t24ceNU/liJV69e7V6/fn1quQ8//HB3\n8+bNU/nrSizxDcawmiLItT3E2HYdhELq2PS1teQY1IjrPHKxQ/nac5a+dp6xBCQggTUSmCrCDfW1\necTDyoqeWiOH7dWyBnUs67Yx+Wqn9NR+fQlIQAISkIAEJCABCUhAAhKQgAQkIIH1E1BgXP8Zr2KH\nSxUYA3+KYNf2JO7lOEzEwtqDX+eSYx6WPJb8mD1L79g61iQgAQlsgcBZRDl6sS0f8rHVp4/ckLiY\nvjq3nUfcs6zdq5mTgAQkIAEJSEACEpCABCQgAQlIQAIS2C4BBcbtnv2idr5kgTGgD4lzvXpybb7G\ntd7mOVyEyEPPUOcz9zLsVd3nMp7dNSUgge0QuCpRbew+tTYkHNITi59Tqj5xmyMfOzR6c4Z6zUtA\nAhKQgAQkIAEJSEACEpCABCQgAQlsi4AC47bOe7G7XbrAGPCHxLVePbk2X2P8Q325fxUbEzNYg1gr\nAQlIQAJXR2BIxKuiYp6m7UtMDnuor+6qzql5/EN1+rQSkIAEJCABCUhAAhKQgAQkIAEJSEAC2ySg\nwLjNc1/crtcgMAb6mJg3VmvFwbY3cc1Vv3df6tiL/EEcY42L3N+5EpCABK6TwDGEONbAsp+xOLWx\netZoRUrWjW3nTq3VPn0JSEACEpCABCQgAQlIQAISkIAEJCCB7RJQYNzu2S9q52sRGAN9TJAbq7Ui\nY28t5re2d9j09Nbp9ZuTgAQkIIHjEqgiX/Xbu1BrLX3kiWMVFysNfQlIQAISkIAEJCABCUhAAhKQ\ngAQkIIFjE1BgPDZR17sUAlsRGAOvCn8tzJ7I2JvDGti6Ti9X6/hT++jXSkACEpDAMIGeCNjr7vWR\nwzKvjcmfV1zM/KE1WVsrAQlIQAISkIAEJCABCUhAAhKQgAQkIIEQUGD072ARBNYkMAJ8TMAbq2X+\nVKGx3uvQmvRe1F7VfS76nM6XgAQkcB4CVyXA5T5D9xrKjwmL2evQvEO183ByjgQkIAEJSEACEpCA\nBCQgAQlIQAISkMC6CSgwrvt8V7O7NQqMOZwxMW6sxtyhnqE8fxBtvY3p00pAAhKQwOURaAW/Nm7v\nPFRPfqjGGmP1sRrztRKQgAQkIAEJSEACEpCABCQgAQlIQAISqAQUGCsN/dkSWKvAGOBj4t5YjcNK\nz6G+Q/VDz8G9tBKQgAQkcBwCU0S9Qz2pH+rJ0471jNWOs1NXkYAEJCABCUhAAhKQgAQkIAEJSEAC\nElgjgWMJjP8HUSlR5utb14cAAAAASUVORK5CYII=\n"
        }
      },
      "id": "abd343e4-f36e-460f-a93f-ba033e682676"
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "metadata": {},
      "outputs": [],
      "source": [
        "# def show(pp2023):\n",
        "#     _str = pp2023.html_str.format(\n",
        "#         ttl = pp2023.title,\n",
        "#         url = pp2023.imgurl,\n",
        "#         Q = pp2023.ques,\n",
        "#         A = pp2023.ans,\n",
        "#         hl = pp2023.highlight\n",
        "#     )\n",
        "#     display(HTML(_str))"
      ],
      "id": "d6e44649-886e-4b6b-a3d1-10313903fd99"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "-   pp2023, burger 를 show 함수의 입력 x로 생각해도 무방"
      ],
      "id": "db4a80b3-a45e-4572-be29-0dc88a1a9f62"
    },
    {
      "cell_type": "code",
      "execution_count": 71,
      "metadata": {},
      "outputs": [],
      "source": [
        "show(burger)"
      ],
      "id": "3108b090-bb4b-4454-83de-e9473ec76c87"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### ***t=3 – 밈1변경: 중요한 것은 꺾이지 않는 “집중력”***"
      ],
      "id": "45ea1df2-108a-4ddb-ae1d-be43815a0ade"
    },
    {
      "cell_type": "code",
      "execution_count": 72,
      "metadata": {},
      "outputs": [],
      "source": [
        "pp2023.highlight = '집중력'"
      ],
      "id": "3cc54e29-11c9-472d-b910-694d9fcc9d41"
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "metadata": {},
      "outputs": [],
      "source": [
        "show(pp2023)"
      ],
      "id": "d2b42cf3-997a-4576-a61b-c38fd3cdf790"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### ***t=4 – 밈2변경: 버거 종류 수정***"
      ],
      "id": "fc3c3522-dcbb-4d65-81db-58159b14ee9b"
    },
    {
      "cell_type": "code",
      "execution_count": 74,
      "metadata": {},
      "outputs": [],
      "source": [
        "burger.ans = '기네스콰트로치즈와퍼, 기네스와퍼, 몬스터와퍼, 몬스터X 최대 XX% 할인' "
      ],
      "id": "0582ea75-94ce-4853-82a7-d49b97ab15f2"
    },
    {
      "cell_type": "code",
      "execution_count": 75,
      "metadata": {},
      "outputs": [],
      "source": [
        "show(burger)"
      ],
      "id": "3c5353eb-c209-4431-800a-866d6c4f0908"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### ***코드의 복습 + 대응하는 용어의 정리***\n",
        "\n",
        "`-` 코드조각1: 아래의 과정은 “`JungKKuckMa`라는 이름의 클래스를\n",
        "선언한다.” 라고 표현한다."
      ],
      "id": "5f15cbf8-a07b-459c-b448-3f9da812e088"
    },
    {
      "cell_type": "code",
      "execution_count": 76,
      "metadata": {},
      "outputs": [],
      "source": [
        "class JungKKuckMa:\n",
        "    pass "
      ],
      "id": "6925de4b-4a54-44bf-910c-c8022d9097ae"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "-   ’JungKKuckMa.HWP’라는 빈 한글파일을 만들어 두는 과정이라 비유할 수\n",
        "    있다.\n",
        "\n",
        "`-` 코드조각2: 아래의 과정은 “`JungKKuckMa`라는 클래스에서\n",
        "`pp2023`이라는 인스턴스를 **생성**시켰다.” 고 표현한다."
      ],
      "id": "261785ff-f9b5-4661-896d-9f6fcfc20654"
    },
    {
      "cell_type": "code",
      "execution_count": 77,
      "metadata": {},
      "outputs": [],
      "source": [
        "pp2023 = JungKKuckMa()\n",
        "pp2023"
      ],
      "id": "0fb79217-f0e5-4a60-baa8-bc6ebc548f63"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "-   만들어둔 ‘JungKKuckMa.HWP’를 Ctrl + C,V 하여 새로운 hwp파일을 만들고\n",
        "    파일이름을 ’pp2023.HWP’ 파일로 변경한 상황으로 비유하라 수 있다.\n",
        "-   느낌: ’JungKKuckMa.HWP’에서 ’pp2023.HWP’이 태어난 느낌!!\n",
        "\n",
        "`-` 코드조각3: 아래의 과정은 `pp2023` 안의 소속된 변수를 정의한다.\n",
        "\n",
        "-   여기에서 정의된 `pp2023.title` 등을 “`pp2023`의 attribute” 라고\n",
        "    표현한다."
      ],
      "id": "c6ba8545-ec15-415c-8e9e-70d4fcd34bbe"
    },
    {
      "cell_type": "code",
      "execution_count": 79,
      "metadata": {},
      "outputs": [],
      "source": [
        "pp2023.title = '파이썬 프로그래밍 중간고사 패배는 괜찮다!!!'\n",
        "pp2023.imgurl = 'https://github.com/guebin/PP2023/blob/main/posts/03_Class/PP2023mid.jpg?raw=true'\n",
        "pp2023.ques = 'Q: 파이썬 프로그래밍 기말고사, 어떤 점에 유의해야 할까?'\n",
        "pp2023.ans = 'A: 최규빈 교수 문제 스타일에 대해서 더 분석할 건 없는 것 같고, 제가 제 코드를 잘 구현하는 게 제일 중요한 것 같고 오늘 중간고사는 망하긴 했지만 저 스스로가 안 무너지면 충분히 기말고사는 잘 볼 수 있을 것 같아요.'\n",
        "pp2023.highlight = '마음'\n",
        "pp2023.html_str =\\\n",
        "'''\n",
        "<style>\n",
        "    .title {{\n",
        "        font-family: \"Times New Roman\", serif;\n",
        "        font-size: 30px;\n",
        "        font-weight: 900;\n",
        "    }}\n",
        "    .text {{\n",
        "        font-family: \"Arial\", sans-serif;\n",
        "        font-size: 20px;\n",
        "        font-style: italic;\n",
        "    }}\n",
        "    .highlight {{\n",
        "        font-family: \"Montserrat\", monospace;\n",
        "        font-size: 35px;\n",
        "        font-weight: 900;\n",
        "        text-decoration: underline;\n",
        "        font-style: normal;\n",
        "        color: darkblue;\n",
        "        background-color: #FFFF00;\n",
        "    }}\n",
        "</style>\n",
        "\n",
        "<p class=\"title\">{ttl}</p>\n",
        "<img src={url} width=\"600\">\n",
        "<p> \\n </p>\n",
        "<p class=\"text\"> {Q}</p>\n",
        "<p class=\"text\"> {A}</p>\n",
        "<p class=\"title\">중요한 것은 꺾이지 않는 <span class=\"highlight\">{hl}</span></p>\n",
        "'''"
      ],
      "id": "5749232a-8331-4a2e-bc10-ad076050d2fa"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "-   ‘pp2023.HWP’ 라는 문서안에 내용을 채우는 과정이라고 비유할 수 있다.\n",
        "\n",
        "`-` 코드조각4: 아래의 과정은 클래스에서 생성된 인스턴스를 입력으로\n",
        "받아서 어떠한 동작을 수행할 함수를 정의"
      ],
      "id": "a0b676a8-be61-4ae1-b919-20f97d3a4f6f"
    },
    {
      "cell_type": "code",
      "execution_count": 80,
      "metadata": {},
      "outputs": [],
      "source": [
        "def show(pp2023):\n",
        "    _str = pp2023.html_str.format(\n",
        "        ttl = pp2023.title,\n",
        "        url = pp2023.imgurl,\n",
        "        Q = pp2023.ques,\n",
        "        A = pp2023.ans,\n",
        "        hl = pp2023.highlight\n",
        "    )\n",
        "    display(HTML(_str))"
      ],
      "id": "178a6ad6-cd3a-48ed-bdb8-cc0373d592df"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "-   특징: show의 입력은 너무 깔끔하다. 클래스에서 생성된 인스턴스의\n",
        "    이름을 받아서 여러변수를 한번에 정리하였음.\n",
        "\n",
        "`-` 코드조각5: 아래의 과정은 생성된 인스턴스를 입력으로 받아서 어떠한\n",
        "함수를 수행하는 과정이다."
      ],
      "id": "c6e5bfce-dd72-47b1-83ca-4f393c9ce6ee"
    },
    {
      "cell_type": "code",
      "execution_count": 81,
      "metadata": {},
      "outputs": [],
      "source": [
        "# show(pp2023)\n",
        "# show(burger)"
      ],
      "id": "6bde2c16-ea54-4b12-925f-fc968e518a13"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "-   show 라는 버튼을 눌러서 ‘pp2023.HWP’ 혹은 ‘burger.HWP’ 를 보는 느낌\n",
        "-   show 라는 버튼은 ‘pp2023.HWP’ 혹은 ‘burger.HWP’ 외부에서 독립적으로\n",
        "    선언된 함수임.\n",
        "\n",
        "# 숙제\n",
        "\n",
        "없습니다"
      ],
      "id": "c2d011ce-2ad7-45df-9d72-abe6fc6923ec"
    }
  ],
  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3",
      "language": "python"
    },
    "language_info": {
      "name": "python",
      "codemirror_mode": {
        "name": "ipython",
        "version": "3"
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.16"
    }
  }
}