6.1. 국민청원 분석 및 시각화.ipynb

{"cells":[{"cell_type":"markdown","metadata":{"id":"topCdeI3P9yL"},"source":["[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pytextbook/pytextbook/blob/main/6.1.%20국민청원%20분석%20및%20시각화.ipynb) \n","\n","\n","# 국민청원 데이터 분석하기"]},{"cell_type":"markdown","source":["데이터 분석을 위한 판다스, 수치 계산을 위한 넘파이 불러오기"],"metadata":{"id":"PU0OphmMo-5R"}},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"MTKsZGE8P9yP","outputId":"6cc8271d-ec00-4040-ee67-6821516a6534","executionInfo":{"status":"ok","timestamp":1672558762300,"user_tz":-540,"elapsed":356,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["1.3.5\n","1.21.6\n"]}],"source":["import pandas as pd\n","import numpy as np\n","\n","#버전 확인\n","print(pd.__version__)\n","print(np.__version__)"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"zztJzDy5P9yL","executionInfo":{"status":"ok","timestamp":1672558762300,"user_tz":-540,"elapsed":2,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[],"source":["# 출력 데이터를 깔끔하게 표시하기 위해\n","import warnings\n","warnings.filterwarnings('ignore')"]},{"cell_type":"markdown","metadata":{"id":"wvC6r52UP9yU"},"source":["여기에서는 시각화 도구로 [plotnine(A grammar of graphics for Python)](https://github.com/has2k1/plotnine)을 사용한다."]},{"cell_type":"code","execution_count":3,"metadata":{"id":"Yy5YKCjRRNWE","executionInfo":{"status":"ok","timestamp":1672558765831,"user_tz":-540,"elapsed":3533,"user":{"displayName":"송영숙","userId":"01138230862948206591"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"f8558508-b292-43ea-c564-2e0a8721264f"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: plotnine in /usr/local/lib/python3.8/dist-packages (0.8.0)\n","Requirement already satisfied: patsy>=0.5.1 in /usr/local/lib/python3.8/dist-packages (from plotnine) (0.5.3)\n","Requirement already satisfied: statsmodels>=0.12.1 in /usr/local/lib/python3.8/dist-packages (from plotnine) (0.12.2)\n","Requirement already satisfied: pandas>=1.1.0 in /usr/local/lib/python3.8/dist-packages (from plotnine) (1.3.5)\n","Requirement already satisfied: numpy>=1.19.0 in /usr/local/lib/python3.8/dist-packages (from plotnine) (1.21.6)\n","Requirement already satisfied: scipy>=1.5.0 in /usr/local/lib/python3.8/dist-packages (from plotnine) (1.7.3)\n","Requirement already satisfied: descartes>=1.1.0 in /usr/local/lib/python3.8/dist-packages (from plotnine) (1.1.0)\n","Requirement already satisfied: mizani>=0.7.3 in /usr/local/lib/python3.8/dist-packages (from plotnine) (0.7.3)\n","Requirement already satisfied: matplotlib>=3.1.1 in /usr/local/lib/python3.8/dist-packages (from plotnine) (3.2.2)\n","Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=3.1.1->plotnine) (2.8.2)\n","Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=3.1.1->plotnine) (1.4.4)\n","Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=3.1.1->plotnine) (0.11.0)\n","Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=3.1.1->plotnine) (3.0.9)\n","Requirement already satisfied: palettable in /usr/local/lib/python3.8/dist-packages (from mizani>=0.7.3->plotnine) (3.3.0)\n","Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas>=1.1.0->plotnine) (2022.6)\n","Requirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from patsy>=0.5.1->plotnine) (1.15.0)\n"]}],"source":["!pip install plotnine"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"fhFsef-6P9yV","executionInfo":{"status":"ok","timestamp":1672558767271,"user_tz":-540,"elapsed":1443,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[],"source":["from plotnine import *"]},{"cell_type":"markdown","metadata":{"id":"W67MBNrCP9yY"},"source":["# 판다스로 데이터 불러오기\n","* 데이터 출처 : https://github.com/akngs/petitions"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"wOzHfCB2RVM2","outputId":"4b2fd43f-102d-427c-f8e6-1a4c9aeb8b7e","executionInfo":{"status":"ok","timestamp":1672558767272,"user_tz":-540,"elapsed":5,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["/content/data 경로에 파일이 있음\n"]}],"source":["import os\n","import platform\n","\n","base_path = \"data\"\n","file_name = \"petition.csv\"\n","\n","def file_exist_check(base_path, file_name):\n","    if os.path.exists(f\"./{base_path}/{file_name}\"):\n","        print(f\"{os.getcwd()}/{base_path} 경로에 파일이 있음\")\n","        return\n","\n","    if not os.path.exists(base_path):\n","        os.makedirs(base_path)\n","    \n","    if platform.system() == \"Linux\":\n","        # 구글 드라이브에서 csv 파일을 읽어오기 위해 gauth 인증하기\n","        !pip install -U -q PyDrive\n","        from pydrive.auth import GoogleAuth\n","        from pydrive.drive import GoogleDrive\n","        from google.colab import auth\n","        from oauth2client.client import GoogleCredentials\n","        \n","        auth.authenticate_user()\n","        gauth = GoogleAuth()\n","        gauth.credentials = GoogleCredentials.get_application_default()\n","        drive = GoogleDrive(gauth)\n","        url ='https://drive.google.com/open?id=1d8VEAj6n83wT1YRlCrhoU_1mMSvYpXc4'\n","\n","        id = url.split('=')[1]\n","        downloaded = drive.CreateFile({'id':id}) \n","        downloaded.GetContentFile(f'{base_path}/{file_name}')  \n","        print(f\"사용자의 구글 드라이브에 {base_path}/{file_name} 다운로드 완료\")\n","        return \n","    else:\n","        print(f\"{file_link} 에서 다운로드 받아 실습 경로 {os.getcwd()}/{base_path}에 옮겨주세요.\"\"\")\n","        return\n","    \n","file_exist_check(base_path, file_name) "]},{"cell_type":"markdown","source":["### 다운로드 받은 데이터 살펴보기"],"metadata":{"id":"L0wglvx3bbrv"}},{"cell_type":"code","source":["petitions = pd.read_csv(f\"{base_path}/petition.csv\", index_col=\"article_id\",\n","                       parse_dates=['start', 'end'])\n","\n","# 데이터의 행과 열의 수 확인\n","petitions.shape\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gh1M0-42yCDH","executionInfo":{"status":"ok","timestamp":1672558782725,"user_tz":-540,"elapsed":15456,"user":{"displayName":"송영숙","userId":"01138230862948206591"}},"outputId":"fa6ca165-fe02-4ea5-9e2b-9bf19b4c29c7"},"execution_count":6,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(377756, 7)"]},"metadata":{},"execution_count":6}]},{"cell_type":"code","source":["petitions.info()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"h0ViSEZppehu","executionInfo":{"status":"ok","timestamp":1672558783339,"user_tz":-540,"elapsed":620,"user":{"displayName":"송영숙","userId":"01138230862948206591"}},"outputId":"3f66f72d-a72f-49d0-dd13-4e3734cd642e"},"execution_count":7,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","Int64Index: 377756 entries, 21 to 492043\n","Data columns (total 7 columns):\n"," #   Column    Non-Null Count   Dtype         \n","---  ------    --------------   -----         \n"," 0   start     377756 non-null  datetime64[ns]\n"," 1   end       377756 non-null  datetime64[ns]\n"," 2   answered  377756 non-null  int64         \n"," 3   votes     377756 non-null  int64         \n"," 4   category  377756 non-null  object        \n"," 5   title     377756 non-null  object        \n"," 6   content   377755 non-null  object        \n","dtypes: datetime64[ns](2), int64(2), object(3)\n","memory usage: 23.1+ MB\n"]}]},{"cell_type":"code","source":["# 데이터셋의 정보를 볼 수 있다.\n","# 어떤 컬럼이 있고 몇 개의 데이터가 있으며 어떤 타입인지 볼 수 있다.\n","petitions.info()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_IbdF8DhVmcJ","executionInfo":{"status":"ok","timestamp":1672558783339,"user_tz":-540,"elapsed":12,"user":{"displayName":"송영숙","userId":"01138230862948206591"}},"outputId":"583da9ec-35f8-402b-b7c5-32f19f19c88b"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","Int64Index: 377756 entries, 21 to 492043\n","Data columns (total 7 columns):\n"," #   Column    Non-Null Count   Dtype         \n","---  ------    --------------   -----         \n"," 0   start     377756 non-null  datetime64[ns]\n"," 1   end       377756 non-null  datetime64[ns]\n"," 2   answered  377756 non-null  int64         \n"," 3   votes     377756 non-null  int64         \n"," 4   category  377756 non-null  object        \n"," 5   title     377756 non-null  object        \n"," 6   content   377755 non-null  object        \n","dtypes: datetime64[ns](2), int64(2), object(3)\n","memory usage: 23.1+ MB\n"]}]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":455},"id":"y76qj9sLP9yd","outputId":"7063c43e-3e50-4d63-9add-daf975016a26","executionInfo":{"status":"ok","timestamp":1672558783340,"user_tz":-540,"elapsed":11,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["                start        end  answered  votes category  \\\n","article_id                                                   \n","21         2017-08-19 2017-11-17         0      9    안전/환경   \n","22         2017-08-19 2017-11-17         0     17       기타   \n","23         2017-08-19 2017-09-03         0      0       미래   \n","24         2017-08-19 2017-08-26         0     53      일자리   \n","25         2017-08-19 2017-09-03         0      0       미래   \n","\n","                               title  \\\n","article_id                             \n","21               스텔라 데이지호에 대한 제안입니다.   \n","22                    비리제보처를 만들어주세요.   \n","23                          제2의 개성공단   \n","24          공공기관 무조건적인 정규직전환을 반대합니다.   \n","25                          제2의 개성공단   \n","\n","                                                      content  \n","article_id                                                     \n","21          스텔라 데이지호에 대한 제안입니다.\\n3월31일 스텔라 데이지호가 침몰하고 5달째가...  \n","22          현 정부에 국민들이 가장 원하는 것은 부패척결입니다.  우리 사회에 각종 비리들이 ...  \n","23          만일 하시는 대통령님 및 각 부처 장관님,주무관님들 안녕하세요!!\\n전남 목포에서 ...  \n","24          현정부에서 정규직 일자리를 늘리는 것에 찬성합니다. 그런데 공공기관 비정규직들은 인...  \n","25          만일 하시는 대통령님 및 각 부처 장관님,주무관님들 안녕하세요!!\\n전남 목포에서 ...  "],"text/html":["\n","  <div id=\"df-43d29b66-1496-4249-8f28-cf356c5cc1c4\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>end</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","      <th>category</th>\n","      <th>title</th>\n","      <th>content</th>\n","    </tr>\n","    <tr>\n","      <th>article_id</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>21</th>\n","      <td>2017-08-19</td>\n","      <td>2017-11-17</td>\n","      <td>0</td>\n","      <td>9</td>\n","      <td>안전/환경</td>\n","      <td>스텔라 데이지호에 대한 제안입니다.</td>\n","      <td>스텔라 데이지호에 대한 제안입니다.\\n3월31일 스텔라 데이지호가 침몰하고 5달째가...</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>2017-08-19</td>\n","      <td>2017-11-17</td>\n","      <td>0</td>\n","      <td>17</td>\n","      <td>기타</td>\n","      <td>비리제보처를 만들어주세요.</td>\n","      <td>현 정부에 국민들이 가장 원하는 것은 부패척결입니다.  우리 사회에 각종 비리들이 ...</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>2017-08-19</td>\n","      <td>2017-09-03</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>미래</td>\n","      <td>제2의 개성공단</td>\n","      <td>만일 하시는 대통령님 및 각 부처 장관님,주무관님들 안녕하세요!!\\n전남 목포에서 ...</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>2017-08-19</td>\n","      <td>2017-08-26</td>\n","      <td>0</td>\n","      <td>53</td>\n","      <td>일자리</td>\n","      <td>공공기관 무조건적인 정규직전환을 반대합니다.</td>\n","      <td>현정부에서 정규직 일자리를 늘리는 것에 찬성합니다. 그런데 공공기관 비정규직들은 인...</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>2017-08-19</td>\n","      <td>2017-09-03</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>미래</td>\n","      <td>제2의 개성공단</td>\n","      <td>만일 하시는 대통령님 및 각 부처 장관님,주무관님들 안녕하세요!!\\n전남 목포에서 ...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-43d29b66-1496-4249-8f28-cf356c5cc1c4')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-43d29b66-1496-4249-8f28-cf356c5cc1c4 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":9}],"source":["# head를 통해 상위 몇 개의 데이터만을 본다.\n","# 기본은 5개를 불러오며, 괄호안에 숫자를 적어주면 숫자만큼 불러온다.\n","petitions.head()"]},{"cell_type":"code","source":["petitions.tail()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"tSVf5mqiqDh_","executionInfo":{"status":"ok","timestamp":1672558783340,"user_tz":-540,"elapsed":11,"user":{"displayName":"송영숙","userId":"01138230862948206591"}},"outputId":"ef1eeaa6-025e-4f14-84b6-644df1a4f172"},"execution_count":10,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                start        end  answered  votes  category  \\\n","article_id                                                    \n","492039     2019-01-09 2019-02-08         0     48    인권/성평등   \n","492040     2019-01-09 2019-02-08         0      5      정치개혁   \n","492041     2019-01-09 2019-02-08         0      1  외교/통일/국방   \n","492042     2019-01-09 2019-02-08         0      4      정치개혁   \n","492043     2019-01-09 2019-02-08         0      1        행정   \n","\n","                                                        title  \\\n","article_id                                                      \n","492039                          박종철 의원. 폭행구속수사 및 의원직 박탈 청원합니다   \n","492040      각 정상들은 들으시요 국회의원을 학력과 무관한 양심 및  윤리가 있는  서민이 되어...   \n","492041                                       남한땅에 옥류관을 오픈해주세요   \n","492042                                       임종석실장님 수고많으셨습니다.   \n","492043             예천군과 환경부를 규탄합니다. 어불성설인 가축사육 관련 법규를 개정해주세요!   \n","\n","                                                      content  \n","article_id                                                     \n","492039      나라돈으로 해외연수가서 현지 동반 가이드를 때려 안경 파편이 얼굴이 꽂혔답니다. C...  \n","492040      각 정당은 현재 국회의원 개개인을 심사하면 지탄받은 사람이 국\\n회를 장악하고 있습...  \n","492041      말그대로 옥류관을 여기서 열면 진짜 재미있고 신나는 일이 일어날것 같은 느낌이 듭니...  \n","492042      범죄정권이후 많은 어려움을 갖고 시작한 국민의정부.\\n저급한 자칭 보수단체와 한국당...  \n","492043      해당 사건이 발생한 곳은 요즘은 매체에서 매일 나오는 곳으로 '군의원의 외유성 해외...  "],"text/html":["\n","  <div id=\"df-2756f3bd-aeec-4be7-a0e4-f92b2e34c49b\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>end</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","      <th>category</th>\n","      <th>title</th>\n","      <th>content</th>\n","    </tr>\n","    <tr>\n","      <th>article_id</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>492039</th>\n","      <td>2019-01-09</td>\n","      <td>2019-02-08</td>\n","      <td>0</td>\n","      <td>48</td>\n","      <td>인권/성평등</td>\n","      <td>박종철 의원. 폭행구속수사 및 의원직 박탈 청원합니다</td>\n","      <td>나라돈으로 해외연수가서 현지 동반 가이드를 때려 안경 파편이 얼굴이 꽂혔답니다. C...</td>\n","    </tr>\n","    <tr>\n","      <th>492040</th>\n","      <td>2019-01-09</td>\n","      <td>2019-02-08</td>\n","      <td>0</td>\n","      <td>5</td>\n","      <td>정치개혁</td>\n","      <td>각 정상들은 들으시요 국회의원을 학력과 무관한 양심 및  윤리가 있는  서민이 되어...</td>\n","      <td>각 정당은 현재 국회의원 개개인을 심사하면 지탄받은 사람이 국\\n회를 장악하고 있습...</td>\n","    </tr>\n","    <tr>\n","      <th>492041</th>\n","      <td>2019-01-09</td>\n","      <td>2019-02-08</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>외교/통일/국방</td>\n","      <td>남한땅에 옥류관을 오픈해주세요</td>\n","      <td>말그대로 옥류관을 여기서 열면 진짜 재미있고 신나는 일이 일어날것 같은 느낌이 듭니...</td>\n","    </tr>\n","    <tr>\n","      <th>492042</th>\n","      <td>2019-01-09</td>\n","      <td>2019-02-08</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>정치개혁</td>\n","      <td>임종석실장님 수고많으셨습니다.</td>\n","      <td>범죄정권이후 많은 어려움을 갖고 시작한 국민의정부.\\n저급한 자칭 보수단체와 한국당...</td>\n","    </tr>\n","    <tr>\n","      <th>492043</th>\n","      <td>2019-01-09</td>\n","      <td>2019-02-08</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>행정</td>\n","      <td>예천군과 환경부를 규탄합니다. 어불성설인 가축사육 관련 법규를 개정해주세요!</td>\n","      <td>해당 사건이 발생한 곳은 요즘은 매체에서 매일 나오는 곳으로 '군의원의 외유성 해외...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2756f3bd-aeec-4be7-a0e4-f92b2e34c49b')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-2756f3bd-aeec-4be7-a0e4-f92b2e34c49b button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":10}]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Hyc9mnoxP9yk","outputId":"3362ed39-77a9-4946-d4a1-0f72e1ed1c5a","executionInfo":{"status":"ok","timestamp":1672558783340,"user_tz":-540,"elapsed":10,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['start', 'end', 'answered', 'votes', 'category', 'title', 'content'], dtype='object')"]},"metadata":{},"execution_count":11}],"source":["# 데이터프레임의 컬럼만을 불러올 수 있다.\n","petitions.columns"]},{"cell_type":"code","execution_count":12,"metadata":{"id":"USP9sY4ZdnZc","executionInfo":{"status":"ok","timestamp":1672558783341,"user_tz":-540,"elapsed":9,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[],"source":["# petitions.describe?"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"id":"ImZ2V6oRP9yt","outputId":"7f8b7d63-eb5e-4f7b-b243-32f549a7aa59","executionInfo":{"status":"ok","timestamp":1672558783626,"user_tz":-540,"elapsed":294,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["            answered         votes\n","count  377756.000000  3.777560e+05\n","mean        0.000077  1.514069e+02\n","std         0.008761  4.842551e+03\n","min         0.000000  0.000000e+00\n","25%         0.000000  1.000000e+00\n","50%         0.000000  5.000000e+00\n","75%         0.000000  1.500000e+01\n","max         1.000000  1.192049e+06"],"text/html":["\n","  <div id=\"df-11c2c9de-2e3e-4d0f-abe6-1f464159b74a\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: 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<th>50%</th>\n","      <td>0.000000</td>\n","      <td>5.000000e+00</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>0.000000</td>\n","      <td>1.500000e+01</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>1.000000</td>\n","      <td>1.192049e+06</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-11c2c9de-2e3e-4d0f-abe6-1f464159b74a')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path 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False  \n","22          현 정부에 국민들이 가장 원하는 것은 부패척결입니다.  우리 사회에 각종 비리들이 ...   False  \n","23          만일 하시는 대통령님 및 각 부처 장관님,주무관님들 안녕하세요!!\\n전남 목포에서 ...   False  "],"text/html":["\n","  <div id=\"df-c169f3c4-2fbb-4117-b937-55301cacf37a\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>end</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","      <th>category</th>\n","      <th>title</th>\n","      <th>content</th>\n","      <th>answer</th>\n","    </tr>\n","    <tr>\n","      <th>article_id</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>21</th>\n","      <td>2017-08-19</td>\n","      <td>2017-11-17</td>\n","      <td>0</td>\n","      <td>9</td>\n","      <td>안전/환경</td>\n","      <td>스텔라 데이지호에 대한 제안입니다.</td>\n","      <td>스텔라 데이지호에 대한 제안입니다.\\n3월31일 스텔라 데이지호가 침몰하고 5달째가...</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>2017-08-19</td>\n","      <td>2017-11-17</td>\n","      <td>0</td>\n","      <td>17</td>\n","      <td>기타</td>\n","      <td>비리제보처를 만들어주세요.</td>\n","      <td>현 정부에 국민들이 가장 원하는 것은 부패척결입니다.  우리 사회에 각종 비리들이 ...</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>2017-08-19</td>\n","      <td>2017-09-03</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>미래</td>\n","      <td>제2의 개성공단</td>\n","      <td>만일 하시는 대통령님 및 각 부처 장관님,주무관님들 안녕하세요!!\\n전남 목포에서 ...</td>\n","      <td>False</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c169f3c4-2fbb-4117-b937-55301cacf37a')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-c169f3c4-2fbb-4117-b937-55301cacf37a button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":17}],"source":["petitions.head(3)"]},{"cell_type":"markdown","metadata":{"id":"6zc9ccHUP9zB"},"source":["### 청원기간 컬럼 생성"]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":375},"id":"sTGPwZ1qP9zB","outputId":"b36dae94-3155-4272-ab77-0f0a41a5e034","executionInfo":{"status":"ok","timestamp":1672558783942,"user_tz":-540,"elapsed":319,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["                start        end  answered  votes category  \\\n","article_id                                                   \n","13577      2017-09-12 2017-09-19         0     20    육아/교육   \n","4213       2017-09-05 2017-09-12         0      1   인권/성평등   \n","4214       2017-09-05 2017-09-12         0      0     정치개혁   \n","\n","                             title  \\\n","article_id                           \n","13577           사립유치원의 집단휴업을 반대합니다   \n","4213        청소년 보호법이 아니라 소년법입니다...   \n","4214                        소년법 강화   \n","\n","                                                      content  answer duration  \n","article_id                                                                      \n","13577       국공립 유치원도 없고 국공립어린이집 들어가기도 힘든 실정에 사립유치원은 부모들의 어...   False   7 days  \n","4213                                             소년법 폐지 청원합니다   False   7 days  \n","4214        이번 부산여중생 사건을보고 느낍니다.\\n소년법 폐지해주셨으면 좋겠습니다.\\n아님 강...   False   7 days  "],"text/html":["\n","  <div id=\"df-dee5d523-1dfb-4e1d-804e-6f493b1568e9\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>end</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","      <th>category</th>\n","      <th>title</th>\n","      <th>content</th>\n","      <th>answer</th>\n","      <th>duration</th>\n","    </tr>\n","    <tr>\n","      <th>article_id</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>13577</th>\n","      <td>2017-09-12</td>\n","      <td>2017-09-19</td>\n","      <td>0</td>\n","      <td>20</td>\n","      <td>육아/교육</td>\n","      <td>사립유치원의 집단휴업을 반대합니다</td>\n","      <td>국공립 유치원도 없고 국공립어린이집 들어가기도 힘든 실정에 사립유치원은 부모들의 어...</td>\n","      <td>False</td>\n","      <td>7 days</td>\n","    </tr>\n","    <tr>\n","      <th>4213</th>\n","      <td>2017-09-05</td>\n","      <td>2017-09-12</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>인권/성평등</td>\n","      <td>청소년 보호법이 아니라 소년법입니다...</td>\n","      <td>소년법 폐지 청원합니다</td>\n","      <td>False</td>\n","      <td>7 days</td>\n","    </tr>\n","    <tr>\n","      <th>4214</th>\n","      <td>2017-09-05</td>\n","      <td>2017-09-12</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>정치개혁</td>\n","      <td>소년법 강화</td>\n","      <td>이번 부산여중생 사건을보고 느낍니다.\\n소년법 폐지해주셨으면 좋겠습니다.\\n아님 강...</td>\n","      <td>False</td>\n","      <td>7 days</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-dee5d523-1dfb-4e1d-804e-6f493b1568e9')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-dee5d523-1dfb-4e1d-804e-6f493b1568e9 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":18}],"source":["petitions['duration'] = petitions['end'] - petitions['start']\n","petitions.sort_values('duration', ascending=True).head(3)"]},{"cell_type":"markdown","metadata":{"id":"Y4MykXlgP9zE"},"source":["### 청원기간별 건"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"6iOPkOizP9zF","outputId":"a0a7c179-c430-4ac4-85a6-4da543124b35","executionInfo":{"status":"ok","timestamp":1672558783943,"user_tz":-540,"elapsed":6,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["30 days    366556\n","90 days      6754\n","7 days       2436\n","15 days      1204\n","60 days       806\n","Name: duration, dtype: int64"]},"metadata":{},"execution_count":19}],"source":["petitions['duration'].value_counts()"]},{"cell_type":"markdown","metadata":{"id":"LioAky8HP9zI"},"source":["#### 청원기간이 90일이고 답변 대상 건"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":191},"id":"MU6txd1qP9zI","outputId":"5dd00a36-34ad-4684-e5c9-e87a95f6ea50","executionInfo":{"status":"ok","timestamp":1672558784332,"user_tz":-540,"elapsed":15,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["                start        end  answered   votes category     title  \\\n","article_id                                                              \n","10949      2017-09-06 2017-12-05         1  615354       미래  조두순 출소반대   \n","\n","                                  content  answer duration  \n","article_id                                                  \n","10949       제발 조두순 재심다시해서 무기징역으로 해야됩니다!!!    True  90 days  "],"text/html":["\n","  <div id=\"df-88197090-629a-4539-8173-f7061f1e3a2d\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>end</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","      <th>category</th>\n","      <th>title</th>\n","      <th>content</th>\n","      <th>answer</th>\n","      <th>duration</th>\n","    </tr>\n","    <tr>\n","      <th>article_id</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>10949</th>\n","      <td>2017-09-06</td>\n","      <td>2017-12-05</td>\n","      <td>1</td>\n","      <td>615354</td>\n","      <td>미래</td>\n","      <td>조두순 출소반대</td>\n","      <td>제발 조두순 재심다시해서 무기징역으로 해야됩니다!!!</td>\n","      <td>True</td>\n","      <td>90 days</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-88197090-629a-4539-8173-f7061f1e3a2d')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-88197090-629a-4539-8173-f7061f1e3a2d button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":20}],"source":["petitions[(petitions['duration'] == '90 days') & (petitions['answer'] == 1)]"]},{"cell_type":"markdown","metadata":{"id":"kv6ta8DBP9zL"},"source":["#### 청원기간이 60일이고 답변 대상 건"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":261},"id":"ExZ_JavpP9zM","outputId":"942d01ab-aa0d-4bb2-d404-4c59087ae580","executionInfo":{"status":"ok","timestamp":1672558784333,"user_tz":-540,"elapsed":15,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["(1, 9)\n"]},{"output_type":"execute_result","data":{"text/plain":["                start        end  answered   votes category  \\\n","article_id                                                    \n","1785       2017-09-03 2017-11-02         1  296330   인권/성평등   \n","\n","                                                        title  \\\n","article_id                                                      \n","1785        청소년이란 이유로 보호법을 악용하는 잔인무도한 청소년들이 늘어나고있습니다. 반드시 ...   \n","\n","                                                      content  answer duration  \n","article_id                                                                      \n","1785        안녕하십니까. 청소년보호법이란 명목하에 나쁜짓을 일삼는 청소년들이 너무나 많아지고 ...    True  60 days  "],"text/html":["\n","  <div id=\"df-43d4e204-929f-4197-aa38-0f50cc18f8e4\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>end</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","      <th>category</th>\n","      <th>title</th>\n","      <th>content</th>\n","      <th>answer</th>\n","      <th>duration</th>\n","    </tr>\n","    <tr>\n","      <th>article_id</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1785</th>\n","      <td>2017-09-03</td>\n","      <td>2017-11-02</td>\n","      <td>1</td>\n","      <td>296330</td>\n","      <td>인권/성평등</td>\n","      <td>청소년이란 이유로 보호법을 악용하는 잔인무도한 청소년들이 늘어나고있습니다. 반드시 ...</td>\n","      <td>안녕하십니까. 청소년보호법이란 명목하에 나쁜짓을 일삼는 청소년들이 너무나 많아지고 ...</td>\n","      <td>True</td>\n","      <td>60 days</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-43d4e204-929f-4197-aa38-0f50cc18f8e4')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-43d4e204-929f-4197-aa38-0f50cc18f8e4 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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True  30 days  \n","26024       '주취감형'이란, 술을 먹고 범행을 저지를 때, 심신미약 (이성이 없고 우발적)이라...    True  30 days  \n","45581       청원사항)\\n중증외상분야의 추가적, 제도적, 환경적, 인력 지원 방안마련\\n현 의료...    True  30 days  "],"text/html":["\n","  <div id=\"df-534eb012-f9af-4242-abf2-302949928d4f\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>end</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","      <th>category</th>\n","      <th>title</th>\n","      <th>content</th>\n","      <th>answer</th>\n","      <th>duration</th>\n","    </tr>\n","    <tr>\n","      <th>article_id</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>18278</th>\n","      <td>2017-09-30</td>\n","      <td>2017-10-30</td>\n","      <td>1</td>\n","      <td>235372</td>\n","      <td>인권/성평등</td>\n","      <td>낙태죄 폐지와 자연유산 유도약(미프진) 합법화 및 도입을 부탁드립니다.</td>\n","      <td>안녕하세요. 존경하는 대통령님 의원님\\n낙태죄 폐지를 청원합니다.\\n현재 대한민국은...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","    <tr>\n","      <th>26024</th>\n","      <td>2017-11-04</td>\n","      <td>2017-12-04</td>\n","      <td>1</td>\n","      <td>216774</td>\n","      <td>안전/환경</td>\n","      <td>'주취감형(술을 먹으면 형벌 감형)' 폐지를 건의(청원)합니다.</td>\n","      <td>'주취감형'이란, 술을 먹고 범행을 저지를 때, 심신미약 (이성이 없고 우발적)이라...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","    <tr>\n","      <th>45581</th>\n","      <td>2017-11-17</td>\n","      <td>2017-12-17</td>\n","      <td>1</td>\n","      <td>281985</td>\n","      <td>보건복지</td>\n","      <td>권역외상센터 (이국종 교수님) 추가적, 제도적, 환경적, 인력 지원</td>\n","      <td>청원사항)\\n중증외상분야의 추가적, 제도적, 환경적, 인력 지원 방안마련\\n현 의료...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-534eb012-f9af-4242-abf2-302949928d4f')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-534eb012-f9af-4242-abf2-302949928d4f button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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건"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":933},"id":"kQy8im2pP9za","outputId":"19ef3d0f-7dbb-43c7-e1e9-f8f6795be2ff","executionInfo":{"status":"ok","timestamp":1672558784334,"user_tz":-540,"elapsed":12,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["(0, 9)\n","(2436, 9)\n"]},{"output_type":"execute_result","data":{"text/plain":["        start  count\n","25 2017-08-19      9\n","21 2017-08-20     18\n","17 2017-08-21     21\n","23 2017-08-22     15\n","16 2017-08-23     22\n","22 2017-08-24     18\n","18 2017-08-25     20\n","20 2017-08-26     19\n","24 2017-08-27     11\n","15 2017-08-28     24\n","14 2017-08-29     27\n","9  2017-08-30     40\n","12 2017-08-31     37\n","6  2017-09-01     52\n","10 2017-09-02     39\n","5  2017-09-03     53\n","2  2017-09-04    331\n","0  2017-09-05    942\n","1  2017-09-06    335\n","3  2017-09-07    129\n","4  2017-09-08     94\n","7  2017-09-09     43\n","13 2017-09-10     32\n","19 2017-09-11     20\n","8  2017-09-12     41\n","11 2017-09-13     37\n","26 2017-09-14      7"],"text/html":["\n","  <div id=\"df-f61d57d3-3aa1-4e00-bb2d-07b553e460bd\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>25</th>\n","      <td>2017-08-19</td>\n","      <td>9</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>2017-08-20</td>\n","      <td>18</td>\n"," 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<td>40</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>2017-08-31</td>\n","      <td>37</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>2017-09-01</td>\n","      <td>52</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>2017-09-02</td>\n","      <td>39</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>2017-09-03</td>\n","      <td>53</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2017-09-04</td>\n","      <td>331</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>2017-09-05</td>\n","      <td>942</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2017-09-06</td>\n","      <td>335</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2017-09-07</td>\n","      <td>129</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2017-09-08</td>\n","      <td>94</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>2017-09-09</td>\n","      <td>43</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>2017-09-10</td>\n","      <td>32</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>2017-09-11</td>\n","      <td>20</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>2017-09-12</td>\n","      <td>41</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>2017-09-13</td>\n","      <td>37</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>2017-09-14</td>\n","      <td>7</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f61d57d3-3aa1-4e00-bb2d-07b553e460bd')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      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'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-f61d57d3-3aa1-4e00-bb2d-07b553e460bd');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":23}],"source":["petitions_7_answer = petitions[(petitions['duration'] == '7 days') \\\n","                                   & (petitions['answer'] == 1)]\n","print(petitions_7_answer.shape)\n","petitions_7 = petitions[(petitions['duration'] == '7 days')]\n","print(petitions_7.shape)\n","petitions_7_count = petitions_7['start'].value_counts().reset_index()\n","petitions_7_count.columns = ['start', 'count']\n","petitions_7_count.sort_values('start', ascending=True)"]},{"cell_type":"markdown","source":["### 청원 기간과 분야별 분석"],"metadata":{"id":"2_cUhHOceHfQ"}},{"cell_type":"markdown","metadata":{"id":"zTdDAELFP9ze"},"source":["어느 분야의 청원이 가장 많이 들어왔는지 확인"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":582},"id":"aaUvDG57P9zf","outputId":"8f95c6d5-a0e0-45ab-ffff-83885cc26206","executionInfo":{"status":"ok","timestamp":1672558784334,"user_tz":-540,"elapsed":10,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["       category  counts\n","0          정치개혁   59020\n","1            기타   46449\n","2        인권/성평등   33738\n","3         안전/환경   29196\n","4      교통/건축/국토   26910\n","5      외교/통일/국방   25705\n","6         육아/교육   24861\n","7          보건복지   23608\n","8           일자리   22111\n","9            행정   19373\n","10  문화/예술/체육/언론   17257\n","11           미래   17190\n","12        경제민주화   16281\n","13         성장동력    6991\n","14         반려동물    3827\n","15    저출산/고령화대책    3461\n","16         농산어촌    1778"],"text/html":["\n","  <div id=\"df-1e936219-fd39-4b20-8163-26aa179c7d67\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>category</th>\n","      <th>counts</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>정치개혁</td>\n","      <td>59020</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>기타</td>\n","      <td>46449</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>인권/성평등</td>\n","      <td>33738</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>안전/환경</td>\n","      <td>29196</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>교통/건축/국토</td>\n","      <td>26910</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>외교/통일/국방</td>\n","      <td>25705</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>육아/교육</td>\n","      <td>24861</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>보건복지</td>\n","      <td>23608</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>일자리</td>\n","      <td>22111</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>행정</td>\n","      <td>19373</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>문화/예술/체육/언론</td>\n","      <td>17257</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>미래</td>\n","      <td>17190</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>경제민주화</td>\n","      <td>16281</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>성장동력</td>\n","      <td>6991</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>반려동물</td>\n","      <td>3827</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>저출산/고령화대책</td>\n","      <td>3461</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>농산어촌</td>\n","      <td>1778</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1e936219-fd39-4b20-8163-26aa179c7d67')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 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'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-1e936219-fd39-4b20-8163-26aa179c7d67');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":24}],"source":["category = pd.DataFrame(petitions['category'].value_counts()).reset_index()\n","category.columns = ['category', 'counts']\n","category"]},{"cell_type":"markdown","metadata":{"id":"Kh5I494eP9zi"},"source":["## 청원이 얼마 동안 집계되었는지"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":225},"id":"KuquTDWzP9zk","outputId":"db925875-bbba-4cba-9028-eff6df9f7a2b","executionInfo":{"status":"ok","timestamp":1672558784769,"user_tz":-540,"elapsed":445,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["청원 집계: 509일\n"]},{"output_type":"execute_result","data":{"text/plain":["       start  counts\n","0 2017-11-11    9623\n","1 2017-09-05    5952\n","2 2018-01-11    3368\n","3 2018-02-06    2631\n","4 2017-11-09    2487"],"text/html":["\n","  <div id=\"df-958a8fc6-0172-4507-9d37-1f4a6b8179c5\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>counts</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2017-11-11</td>\n","      <td>9623</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2017-09-05</td>\n","      <td>5952</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2018-01-11</td>\n","      <td>3368</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2018-02-06</td>\n","      <td>2631</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2017-11-09</td>\n","      <td>2487</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-958a8fc6-0172-4507-9d37-1f4a6b8179c5')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-958a8fc6-0172-4507-9d37-1f4a6b8179c5 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-958a8fc6-0172-4507-9d37-1f4a6b8179c5');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":25}],"source":["start_df = pd.DataFrame(petitions['start'].value_counts()).reset_index()\n","start_df.columns = ['start', 'counts']\n","start_df = start_df.sort_values('counts', ascending=False)\n","print('청원 집계: {}일'.format(start_df.shape[0]))\n","start_df.head()"]},{"cell_type":"markdown","metadata":{"id":"vJLTnI61P9zo"},"source":["## 피봇 테이블로 투표를 가장 많이 받은 분야 보기"]},{"cell_type":"code","execution_count":26,"metadata":{"id":"L2At3ymtrLiE","executionInfo":{"status":"ok","timestamp":1672558784770,"user_tz":-540,"elapsed":6,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[],"source":["# pd.pivot_table?"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":582},"id":"86eJesitP9zo","outputId":"48cc02ce-2c03-4c17-e149-dd7f67767357","executionInfo":{"status":"ok","timestamp":1672558784770,"user_tz":-540,"elapsed":6,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["       category  answer  answered     votes\n","0        인권/성평등      23         9  12225998\n","1         안전/환경      10         2   6512799\n","2          정치개혁       7         2   5686172\n","3            기타       7         1   4720310\n","4         육아/교육       3         1   4420589\n","5          보건복지       3         2   4269399\n","6   문화/예술/체육/언론       7         4   4086382\n","7      외교/통일/국방       4         1   3637926\n","8      교통/건축/국토       3         2   2834727\n","9          반려동물       4         0   2023905\n","10        경제민주화       2         1   1720766\n","11           행정       1         1   1665855\n","12           미래       1         1   1120174\n","13          일자리       0         0   1113973\n","14         성장동력       2         2    866240\n","15    저출산/고령화대책       0         0    174841\n","16         농산어촌       0         0    114822"],"text/html":["\n","  <div id=\"df-52f62921-f014-4af2-ae70-48bf7fdd1c97\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>category</th>\n","      <th>answer</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>인권/성평등</td>\n","      <td>23</td>\n","      <td>9</td>\n","      <td>12225998</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>안전/환경</td>\n","      <td>10</td>\n","      <td>2</td>\n","      <td>6512799</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>정치개혁</td>\n","      <td>7</td>\n","      <td>2</td>\n","      <td>5686172</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>기타</td>\n","      <td>7</td>\n","      <td>1</td>\n","      <td>4720310</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>육아/교육</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>4420589</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>보건복지</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>4269399</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>문화/예술/체육/언론</td>\n","      <td>7</td>\n","      <td>4</td>\n","      <td>4086382</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>외교/통일/국방</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>3637926</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>교통/건축/국토</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>2834727</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>반려동물</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>2023905</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>경제민주화</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1720766</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>행정</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1665855</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>미래</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1120174</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>일자리</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1113973</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>성장동력</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>866240</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>저출산/고령화대책</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>174841</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>농산어촌</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>114822</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-52f62921-f014-4af2-ae70-48bf7fdd1c97')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":27}],"source":["petitions_unique = pd.pivot_table(petitions, index=['category'], aggfunc=np.sum)\n","petitions_best = petitions_unique.sort_values(by='votes', ascending=False).reset_index()\n","petitions_best"]},{"cell_type":"markdown","metadata":{"id":"yjgU4blpP9zs"},"source":["## 투표를 가장 많이 받은 날"]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"ss3jcBQbP9zs","outputId":"6ec6f39d-e0f5-46d0-9f9e-52520c9577dc","executionInfo":{"status":"ok","timestamp":1672558785125,"user_tz":-540,"elapsed":360,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["            answer  answered    votes\n","start                                \n","2018-10-17       1         0  1300523\n","2018-10-31       2         0   827096\n","2018-06-13       1         0   786157\n","2018-10-18       2         0   721524\n","2018-02-19       1         1   701520\n","2018-11-09       2         0   672819\n","2018-07-22       1         0   672491\n","2017-09-06       1         1   648209\n","2018-06-24       2         0   628925\n","2018-10-04       2         1   626761\n","2018-02-23       2         2   608530\n","2018-05-18       1         0   574483\n","2018-05-11       1         1   556549\n","2018-05-25       2         0   514253\n","2018-11-14       1         0   469027\n","2018-06-17       2         0   468341\n","2018-07-03       1         0   467132\n","2018-04-17       1         1   446950\n","2018-05-02       1         0   445493\n","2018-10-02       1         1   437841\n","2017-09-03       1         1   433356\n","2018-06-14       1         1   403351\n","2018-01-20       1         1   399683\n","2017-11-17       1         1   393348\n","2017-11-24       1         1   392782\n","2018-12-07       1         0   387305\n","2018-03-24       1         0   385480\n","2018-09-06       1         0   383145\n","2018-03-03       1         1   380016\n","2018-01-15       1         1   376187\n","2018-04-16       1         0   369318\n","2018-01-25       1         1   364926\n","2019-01-07       1         0   352139"],"text/html":["\n","  <div id=\"df-c14eacfc-d2c2-477b-ab80-54b824001234\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>answer</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","    </tr>\n","    <tr>\n","      <th>start</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2018-10-17</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1300523</td>\n","    </tr>\n","    <tr>\n","      <th>2018-10-31</th>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>827096</td>\n","    </tr>\n","    <tr>\n","      <th>2018-06-13</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>786157</td>\n","    </tr>\n","    <tr>\n","      <th>2018-10-18</th>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>721524</td>\n","    </tr>\n","    <tr>\n","      <th>2018-02-19</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>701520</td>\n","    </tr>\n","    <tr>\n","      <th>2018-11-09</th>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>672819</td>\n","    </tr>\n","    <tr>\n","      <th>2018-07-22</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>672491</td>\n","    </tr>\n","    <tr>\n","      <th>2017-09-06</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>648209</td>\n","    </tr>\n","    <tr>\n","      <th>2018-06-24</th>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>628925</td>\n","    </tr>\n","    <tr>\n","      <th>2018-10-04</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>626761</td>\n","    </tr>\n","    <tr>\n","      <th>2018-02-23</th>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>608530</td>\n","    </tr>\n","    <tr>\n","      <th>2018-05-18</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>574483</td>\n","    </tr>\n","    <tr>\n","      <th>2018-05-11</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>556549</td>\n","    </tr>\n","    <tr>\n","      <th>2018-05-25</th>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>514253</td>\n","    </tr>\n","    <tr>\n","      <th>2018-11-14</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>469027</td>\n","    </tr>\n","    <tr>\n","      <th>2018-06-17</th>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>468341</td>\n","    </tr>\n","    <tr>\n","      <th>2018-07-03</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>467132</td>\n","    </tr>\n","    <tr>\n","      <th>2018-04-17</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>446950</td>\n","    </tr>\n","    <tr>\n","      <th>2018-05-02</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>445493</td>\n","    </tr>\n","    <tr>\n","      <th>2018-10-02</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>437841</td>\n","    </tr>\n","    <tr>\n","      <th>2017-09-03</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>433356</td>\n","    </tr>\n","    <tr>\n","      <th>2018-06-14</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>403351</td>\n","    </tr>\n","    <tr>\n","      <th>2018-01-20</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>399683</td>\n","    </tr>\n","    <tr>\n","      <th>2017-11-17</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>393348</td>\n","    </tr>\n","    <tr>\n","      <th>2017-11-24</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>392782</td>\n","    </tr>\n","    <tr>\n","      <th>2018-12-07</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>387305</td>\n","    </tr>\n","    <tr>\n","      <th>2018-03-24</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>385480</td>\n","    </tr>\n","    <tr>\n","      <th>2018-09-06</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>383145</td>\n","    </tr>\n","    <tr>\n","      <th>2018-03-03</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>380016</td>\n","    </tr>\n","    <tr>\n","      <th>2018-01-15</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>376187</td>\n","    </tr>\n","    <tr>\n","      <th>2018-04-16</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>369318</td>\n","    </tr>\n","    <tr>\n","      <th>2018-01-25</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>364926</td>\n","    </tr>\n","    <tr>\n","      <th>2019-01-07</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>352139</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c14eacfc-d2c2-477b-ab80-54b824001234')\"\n","              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날"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"OMIch8QDP9zv","outputId":"ffe25337-be74-4b9a-81c2-3d45186505f1","executionInfo":{"status":"ok","timestamp":1672558785126,"user_tz":-540,"elapsed":14,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["       start  answer  answered    votes\n","0 2018-10-17       1         0  1300523\n","1 2018-10-31       2         0   827096\n","2 2018-06-13       1         0   786157\n","3 2018-10-18       2         0   721524\n","4 2018-02-19       1         1   701520"],"text/html":["\n","  <div id=\"df-651a9adf-ff41-4300-a7da-721ab71ae7e6\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","   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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":29}],"source":["# 인덱스로 되어있는 start를 키로 사용하기 위해 \n","# index로 설정된 start를 컬럼으로 변경해주고 인덱스를 생성한다.\n","votes_df = votes_df.reset_index()\n","votes_df.head()"]},{"cell_type":"code","execution_count":30,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"cKlJ8fChP9zw","outputId":"79398080-fded-48a3-b879-23b489c3af94","executionInfo":{"status":"ok","timestamp":1672558785126,"user_tz":-540,"elapsed":13,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["         start  counts  answer  answered    votes\n","113 2018-10-17     926       1         0  1300523\n","80  2018-10-31    1010       2         0   827096\n","365 2018-06-13     542       1         0   786157\n","73  2018-10-18    1032       2         0   721524\n","259 2018-02-19     698       1         1   701520"],"text/html":["\n","  <div id=\"df-bf08d408-832f-4a81-bfc5-07677b147088\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: 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   <tr>\n","      <th>73</th>\n","      <td>2018-10-18</td>\n","      <td>1032</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>721524</td>\n","    </tr>\n","    <tr>\n","      <th>259</th>\n","      <td>2018-02-19</td>\n","      <td>698</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>701520</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bf08d408-832f-4a81-bfc5-07677b147088')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 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\"votes\")"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"fqrOY0_9_bs8","outputId":"9f069bfa-e2c3-480d-c983-cd026fa50c50","executionInfo":{"status":"ok","timestamp":1672558785126,"user_tz":-540,"elapsed":12,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["       start  counts  answer  answered  votes\n","0 2017-11-11    9623       0         0  85074\n","1 2017-09-05    5952       0         0  48808\n","2 2018-01-11    3368       0         0  44570\n","3 2018-02-06    2631       0         0  83038\n","4 2017-11-09    2487       0         0  34774"],"text/html":["\n","  <div id=\"df-cffc511d-8221-44ae-8b11-09f45b5ddcc9\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","      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<td>2631</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>83038</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2017-11-09</td>\n","      <td>2487</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>34774</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cffc511d-8221-44ae-8b11-09f45b5ddcc9')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":31}],"source":["hottest_day_df.nlargest(5, \"counts\")"]},{"cell_type":"markdown","metadata":{"id":"oV6rrfHwP9z1"},"source":["## 답변 대상 청원\n","- 20만건 이상의 투표를 받으면 답변을 받을 수 있는 청원이 된다."]},{"cell_type":"code","execution_count":32,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"tyyZ6aOQP9z2","outputId":"85b49941-5337-490b-b13f-6bfdc598676a","executionInfo":{"status":"ok","timestamp":1672558785127,"user_tz":-540,"elapsed":13,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["답변 대상 청원: 77건\n"]}],"source":["answered_df = petitions.loc[petitions['votes'] > 200000]\n","print('답변 대상 청원: {}건'.format(answered_df.shape[0]))"]},{"cell_type":"code","execution_count":33,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":611},"id":"b_KjxrwoP9z5","outputId":"3a65832a-7b81-4a4d-c4dd-69214c0bca93","executionInfo":{"status":"ok","timestamp":1672558785127,"user_tz":-540,"elapsed":10,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["                start        end  answered   votes category  \\\n","article_id                                                    \n","1785       2017-09-03 2017-11-02         1  296330   인권/성평등   \n","10949      2017-09-06 2017-12-05         1  615354       미래   \n","18278      2017-09-30 2017-10-30         1  235372   인권/성평등   \n","26024      2017-11-04 2017-12-04         1  216774    안전/환경   \n","45581      2017-11-17 2017-12-17         1  281985     보건복지   \n","\n","                                                        title  \\\n","article_id                                                      \n","1785        청소년이란 이유로 보호법을 악용하는 잔인무도한 청소년들이 늘어나고있습니다. 반드시 ...   \n","10949                                                조두순 출소반대   \n","18278                 낙태죄 폐지와 자연유산 유도약(미프진) 합법화 및 도입을 부탁드립니다.   \n","26024                     '주취감형(술을 먹으면 형벌 감형)' 폐지를 건의(청원)합니다.   \n","45581                   권역외상센터 (이국종 교수님) 추가적, 제도적, 환경적, 인력 지원   \n","\n","                                                      content  answer duration  \n","article_id                                                                      \n","1785        안녕하십니까. 청소년보호법이란 명목하에 나쁜짓을 일삼는 청소년들이 너무나 많아지고 ...    True  60 days  \n","10949                           제발 조두순 재심다시해서 무기징역으로 해야됩니다!!!    True  90 days  \n","18278       안녕하세요. 존경하는 대통령님 의원님\\n낙태죄 폐지를 청원합니다.\\n현재 대한민국은...    True  30 days  \n","26024       '주취감형'이란, 술을 먹고 범행을 저지를 때, 심신미약 (이성이 없고 우발적)이라...    True  30 days  \n","45581       청원사항)\\n중증외상분야의 추가적, 제도적, 환경적, 인력 지원 방안마련\\n현 의료...    True  30 days  "],"text/html":["\n","  <div id=\"df-5ceaf7a7-1896-4591-aa32-26c9c065e8d7\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>end</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","      <th>category</th>\n","      <th>title</th>\n","      <th>content</th>\n","      <th>answer</th>\n","      <th>duration</th>\n","    </tr>\n","    <tr>\n","      <th>article_id</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      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<td>안녕하세요. 존경하는 대통령님 의원님\\n낙태죄 폐지를 청원합니다.\\n현재 대한민국은...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","    <tr>\n","      <th>26024</th>\n","      <td>2017-11-04</td>\n","      <td>2017-12-04</td>\n","      <td>1</td>\n","      <td>216774</td>\n","      <td>안전/환경</td>\n","      <td>'주취감형(술을 먹으면 형벌 감형)' 폐지를 건의(청원)합니다.</td>\n","      <td>'주취감형'이란, 술을 먹고 범행을 저지를 때, 심신미약 (이성이 없고 우발적)이라...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","    <tr>\n","      <th>45581</th>\n","      <td>2017-11-17</td>\n","      <td>2017-12-17</td>\n","      <td>1</td>\n","      <td>281985</td>\n","      <td>보건복지</td>\n","      <td>권역외상센터 (이국종 교수님) 추가적, 제도적, 환경적, 인력 지원</td>\n","      <td>청원사항)\\n중증외상분야의 추가적, 제도적, 환경적, 인력 지원 방안마련\\n현 의료...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":33}],"source":["answered_df.head()"]},{"cell_type":"markdown","metadata":{"id":"wsjANi34P9z7"},"source":["### 답변 대상 청원 중 투표를 가장 많이 받은 것"]},{"cell_type":"code","execution_count":34,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"eSYu8pvSP9z7","outputId":"965138ec-1a4b-4561-d655-9ca5147af962","executionInfo":{"status":"ok","timestamp":1672558785128,"user_tz":-540,"elapsed":10,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["                start        end  answered    votes     category  \\\n","article_id                                                         \n","408609     2018-10-17 2018-11-16         0  1192049        안전/환경   \n","269548     2018-06-13 2018-07-13         0   714875     외교/통일/국방   \n","10949      2017-09-06 2017-12-05         1   615354           미래   \n","142600     2018-02-19 2018-03-21         1   614127  문화/예술/체육/언론   \n","230552     2018-05-11 2018-06-10         1   419006       인권/성평등   \n","426834     2018-10-31 2018-11-30         0   416093       인권/성평등   \n","314584     2018-07-22 2018-08-21         0   413924        육아/교육   \n","395955     2018-10-02 2018-11-01         1   406655     교통/건축/국토   \n","437737     2018-11-09 2018-12-09         0   397079       인권/성평등   \n","442093     2018-11-14 2018-12-14         0   365418       인권/성평등   \n","\n","                                                        title  \\\n","article_id                                                      \n","408609                          강서구 피시방 살인 사건. 또 심신미약 피의자입니다.   \n","269548      제주도 불법 난민 신청 문제에 따른 난민법, 무사증 입국, 난민신청허가 폐지/개헌 ...   \n","10949                                                조두순 출소반대   \n","142600               김보름, 박지우 선수의 자격박탈과 적폐 빙상연맹의 엄중 처벌을 청원합니다   \n","230552                 여성도 대한민국 국민입니다. 성별 관계없는 국가의 보호를 요청합니다.   \n","426834      132cm, 31kg의 왜소한 50대 여성이 180cm가 넘는 건장한 20세 남성에...   \n","314584                             23개월 아기가 폭행에 장이 끊어져 죽었습니다.   \n","395955                     음주운전 교통사고로 친구 인생이 박살났습니다. 제발 도와주세요   \n","437737                             억울하게 떠나신 저의 아버지의 원한을 풀어주세요   \n","442093                                               이수역 폭행사건   \n","\n","                                                      content  answer duration  \n","article_id                                                                      \n","408609      2018년 10월 14일 엊그제 일어난 강서구 피시방 살인사건에 대한 청원입니다.\\...    True  30 days  \n","269548      2012년 난민법 제정으로 인해 외국인은 한달 무비자로 입국할 수 있으나 난민신청자...    True  30 days  \n","10949                           제발 조두순 재심다시해서 무기징역으로 해야됩니다!!!    True  90 days  \n","142600      오늘 여자 단체전 팀추월에서 김보름, 박지우 선수는 팀전인데도 불구하고 개인의 영달...    True  30 days  \n","230552      최근 홍대 누드크로키 모델의 불법촬영 사건이 있었습니다.\\n사건은 굉장히 빠르게 처...    True  30 days  \n","426834      http://m.news1.kr/articles/?3464603\\n관련 기사입니다....    True  30 days  \n","314584      고생하시는 청와대 관계자 및 대통령님.\\n이 글을 꼭 한번만 읽어주세요.\\n너무나 ...    True  30 days  \n","395955      9월 25일 새벽 2시 25분 경, 부산 해운대구 미포 오거리에서 술에 만취한 운전...    True  30 days  \n","437737      46일동안 눈 한번 뜨시지 못한 채 11월 6일 새벽 4시에 저의 아버지가 억울하게...    True  30 days  \n","442093      11월 13일 새벽4시 경 이수역의 한 맥주집에서 남자 다섯명이 여성 두 명을 폭행...    True  30 days  "],"text/html":["\n","  <div id=\"df-508fff5d-625d-4c84-abe8-fe1e9e85cf2a\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>end</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","      <th>category</th>\n","      <th>title</th>\n","      <th>content</th>\n","      <th>answer</th>\n","      <th>duration</th>\n","    </tr>\n","    <tr>\n","      <th>article_id</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      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출소반대</td>\n","      <td>제발 조두순 재심다시해서 무기징역으로 해야됩니다!!!</td>\n","      <td>True</td>\n","      <td>90 days</td>\n","    </tr>\n","    <tr>\n","      <th>142600</th>\n","      <td>2018-02-19</td>\n","      <td>2018-03-21</td>\n","      <td>1</td>\n","      <td>614127</td>\n","      <td>문화/예술/체육/언론</td>\n","      <td>김보름, 박지우 선수의 자격박탈과 적폐 빙상연맹의 엄중 처벌을 청원합니다</td>\n","      <td>오늘 여자 단체전 팀추월에서 김보름, 박지우 선수는 팀전인데도 불구하고 개인의 영달...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","    <tr>\n","      <th>230552</th>\n","      <td>2018-05-11</td>\n","      <td>2018-06-10</td>\n","      <td>1</td>\n","      <td>419006</td>\n","      <td>인권/성평등</td>\n","      <td>여성도 대한민국 국민입니다. 성별 관계없는 국가의 보호를 요청합니다.</td>\n","      <td>최근 홍대 누드크로키 모델의 불법촬영 사건이 있었습니다.\\n사건은 굉장히 빠르게 처...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","    <tr>\n","      <th>426834</th>\n","      <td>2018-10-31</td>\n","      <td>2018-11-30</td>\n","      <td>0</td>\n","      <td>416093</td>\n","      <td>인권/성평등</td>\n","      <td>132cm, 31kg의 왜소한 50대 여성이 180cm가 넘는 건장한 20세 남성에...</td>\n","      <td>http://m.news1.kr/articles/?3464603\\n관련 기사입니다....</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","    <tr>\n","      <th>314584</th>\n","      <td>2018-07-22</td>\n","      <td>2018-08-21</td>\n","      <td>0</td>\n","      <td>413924</td>\n","      <td>육아/교육</td>\n","      <td>23개월 아기가 폭행에 장이 끊어져 죽었습니다.</td>\n","      <td>고생하시는 청와대 관계자 및 대통령님.\\n이 글을 꼭 한번만 읽어주세요.\\n너무나 ...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","    <tr>\n","      <th>395955</th>\n","      <td>2018-10-02</td>\n","      <td>2018-11-01</td>\n","      <td>1</td>\n","      <td>406655</td>\n","      <td>교통/건축/국토</td>\n","      <td>음주운전 교통사고로 친구 인생이 박살났습니다. 제발 도와주세요</td>\n","      <td>9월 25일 새벽 2시 25분 경, 부산 해운대구 미포 오거리에서 술에 만취한 운전...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","    <tr>\n","      <th>437737</th>\n","      <td>2018-11-09</td>\n","      <td>2018-12-09</td>\n","      <td>0</td>\n","      <td>397079</td>\n","      <td>인권/성평등</td>\n","      <td>억울하게 떠나신 저의 아버지의 원한을 풀어주세요</td>\n","      <td>46일동안 눈 한번 뜨시지 못한 채 11월 6일 새벽 4시에 저의 아버지가 억울하게...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","    <tr>\n","      <th>442093</th>\n","      <td>2018-11-14</td>\n","      <td>2018-12-14</td>\n","      <td>0</td>\n","      <td>365418</td>\n","      <td>인권/성평등</td>\n","      <td>이수역 폭행사건</td>\n","      <td>11월 13일 새벽4시 경 이수역의 한 맥주집에서 남자 다섯명이 여성 두 명을 폭행...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-508fff5d-625d-4c84-abe8-fe1e9e85cf2a')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg 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[ggplot2-cheatsheet](https://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf)\n","* 이미지 출처 : [A Comprehensive Guide to the Grammar of Graphics for Effective Visualization of Multi-dimensional…](https://towardsdatascience.com/a-comprehensive-guide-to-the-grammar-of-graphics-for-effective-visualization-of-multi-dimensional-1f92b4ed4149)\n","\n","<img src=\"https://cdn-images-1.medium.com/max/2000/1*mcLnnVdHNg-ikDbHJfHDNA.png\">"]},{"cell_type":"code","execution_count":35,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":465},"id":"NVvYsuwJP9z-","outputId":"91d0a4c2-b3bf-4e6b-e1b2-774f9e46a8dc","executionInfo":{"status":"ok","timestamp":1672558790597,"user_tz":-540,"elapsed":5479,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 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\n"},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["<ggplot: (8785697300143)>"]},"metadata":{},"execution_count":35}],"source":["# 카테고리별로 집계된 데이터를 barplot으로 그려본다.\n","# 그런데 한글이 깨져보이는 것을 볼 수 있다.\n","(ggplot(petitions)\n"," + aes('category')\n"," + geom_bar(fill='green')\n",")"]},{"cell_type":"markdown","metadata":{"id":"LW6fSPaNPPM2"},"source":["## 시각화를 위해 한글폰트 설치"]},{"cell_type":"markdown","metadata":{"id":"xFdQEshDP90D"},"source":["#### 한글폰트 사용하기\n","* 참고 : [plotnine.themes.element_text — plotnine documentation](http://plotnine.readthedocs.io/en/stable/generated/plotnine.themes.element_text.html)"]},{"cell_type":"code","execution_count":36,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"icWad-GnRJNv","executionInfo":{"status":"ok","timestamp":1672558794552,"user_tz":-540,"elapsed":3959,"user":{"displayName":"송영숙","userId":"01138230862948206591"}},"outputId":"272ab41f-7e71-4f74-d759-20ed2fab61a7"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: koreanize-matplotlib in /usr/local/lib/python3.8/dist-packages (0.1.1)\n","Requirement already satisfied: matplotlib in /usr/local/lib/python3.8/dist-packages (from koreanize-matplotlib) (3.2.2)\n","Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib->koreanize-matplotlib) (1.4.4)\n","Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib->koreanize-matplotlib) (3.0.9)\n","Requirement already satisfied: numpy>=1.11 in /usr/local/lib/python3.8/dist-packages (from matplotlib->koreanize-matplotlib) (1.21.6)\n","Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib->koreanize-matplotlib) (2.8.2)\n","Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.8/dist-packages (from matplotlib->koreanize-matplotlib) (0.11.0)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.8/dist-packages (from python-dateutil>=2.1->matplotlib->koreanize-matplotlib) (1.15.0)\n"]}],"source":["!pip install koreanize-matplotlib"]},{"cell_type":"code","execution_count":37,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"id":"5u7tGaEhRJNw","executionInfo":{"status":"ok","timestamp":1672558794553,"user_tz":-540,"elapsed":16,"user":{"displayName":"송영숙","userId":"01138230862948206591"}},"outputId":"c8a280cb-35e8-403b-ed46-1a26cb222a4f"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["'NanumGothic'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":37}],"source":["import koreanize_matplotlib\n","\n","%config InlineBackend.figure_format = 'retina'\n"," \n","font_family = 'NanumGothic'\n","font_family\n"]},{"cell_type":"code","execution_count":38,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":549},"id":"9QY0Otl8P90D","outputId":"aa27449f-d264-417e-b88a-88a878c76952","executionInfo":{"status":"ok","timestamp":1672558797567,"user_tz":-540,"elapsed":3027,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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sLA0dOvQbH8xdT0q5dDA9V0fUYDC4x8UIDQ1VfHx8o45oWz/793UHDhzQzJkzNWDAAN17771asGCBMjIy9Oc//1lpaWkaPny4ampq9NFHH8nhcOjVV191nzH861//Kn9/fz300ENq3769hytpfex2uzZt2qSlS5fq97//vSIjI1VdXa2ZM2eqtrZWTz/9tIxGo86cOaO//e1v+v73v6/Ro0fLYDBo5cqVWrt2rX79618rOjpaBoNBI0aMkNls1vr165WRkaHS0lIFBAQoKipK/v7+6tChg06fPu0+S7ZmzRr300baamhwNQcPHtTMmTPVu3dv/eAHP5DD4VBQUJA6d+6sVatWqVOnTrr55psVGBiotWvXatWqVfrNb37T6IdcW/Dll19q1qxZMhgMSkxMbPS0GFeHMDg4WHFxcerRo4esVqtyc3O1atUqnTlzxj0WQ1sJx+x2uz7//HNlZmbq5ZdfVkhIiHJycrR69Wr17NlTTz/9tAIDA5Wbm6tly5YpLCys0ZVjbY3rWFJSUqKFCxfqzJkz+tOf/qTk5GR1797d/cSgXbt2qaKiwj0WmTfLysrSgQMH1L17d/cVN/X19e6BXkeNGqWysjJt3LhROTk5Ki8vl9VqbfIrEq7HbrcrLS1NqampevbZZ91/n66/zV27dmnLli168MEHFRERoWPHjmnevHny8/PTs88+K0mNxgV0fWZb2pYvXLjgvq36mWeecf9gdQWgixcv1sqVK3XbbbepW7dukqQpU6YoOjpa48ePV2hoqMfabjQaZbfb3f+2WCyKjY1V37591a5dO23ZskVbtmxRVVWVQkJCWu2YNq1Nu3btFB8fr6SkJNlsNu3du1dffPGFMjMz1dDQoOeee879FLKbbrpJHTt2VH5+vsLDwzV8+HAdOXJEFovlOwdGJ06cUFlZmUJDQ1VeXq6FCxcqKytLt9xyixYuXKgjR47o3nvv1ZgxYyRd3N+cPHlSmzdv1rFjx5SSktLiJ9f27t2ruXPnKiMjQ71791ZgYKB27dql999/X5MmTVL//v3dJ4d69uypIUOGqK6uTnV1dRowYECj9raF3ycERcAVXPpUjPnz52v9+vUaNmyYrFarYmNjlZSUpIiICO3du1eFhYWy2Wzq169fi3d+WsKePXv00Ucf6fvf/75GjRrlfn379u2aN2+ennzySfftTvn5+froo480ceJEDR48WCaTSfX19TIajcrMzNSXX36p8ePHKzk5+Rt1sPLz8/XBBx+4d8auZevqoKWkpOj222/X2bNnlZubq9zcXJ0+fVphYWGNBnZuC6n99Zw7d05Lly7Vzp079dprr+nYsWPuAZdvvPFGLV68WNHR0Zo7d66CgoL0i1/8Qh07dpR08eC6cOFCTZw4Uf369WtTnduWUlxcrHfeeUc33nij7r77bjkcDu3YsUNz585tdLvl3LlzdfjwYf3qV79SSEiITp48qX/+858aMWKExowZ4+7QGo1G9e7dW3feeadOnz7tvs2qsrLSfZn8G2+8of79++unP/2punXrptzcXC1fvlzl5eXu8Yva+rqqqqpyn6mcOnWqgoKCVFtbK7PZrC1btmjp0qX60Y9+pD59+uj48eOaNm2ahg4dqrvvvtvTTf9W9u/fr9dff11lZWXav3+/YmNj1alTp8sGkHedhIiIiFBiYqISEhLkcDjcT8ZzOBytcvwi1z60qqpKhYWFamhoUHBwsCIjI9W1a1f3+AzLli1z36bZqVMnxcXFKSEhQRaLRTabTQkJCSouLpbZbJbZbG5VNX6dq+aamhqlp6erpKREnTt31o4dOzR//nxNnjxZ3bp1c4+fV1BQoMmTJ+v48ePauHGjzp8/r8TExEbjwXnDscilqqpKM2fO1OLFi7V//3517tzZfSVVfX29exsZPny4+vXrpwMHDig9PV15eXnq0KGD+/jkOgnk+ndzOHHihObOnauYmBg98sgj7u9yrY958+YpMDBQDz30kGpra7Vp0yatWLFCr7zyitq3b+8es6e4uFjFxcWKjIx030bXVtbprl279NFHH+nRRx9Vnz59JMl9lVRNTY2mTJmiW265RSNHjlRgYKBSU1OVlpamRx55xD02X0vLycnRnj171LlzZ/n5+blv6zUajTKZTAoLC1NSUpJ69eqlyspKrV27Vrt375bD4ZDValVwcLBX9QObmqt/brVa1aNHD8XHx8tisai0tFRlZWUym82Kj4933ynRtWtX3Xbbbbrpppv0/vvva/bs2dq2bZtCQkLcJ8mkb7asz5w5o08//VTp6em66aabtHXrVq1YsULDhg1Tv379tGfPHkVGRmrMmDEym82aNm2aOnXqpEmTJkm6eMwdP358i67TM2fOaMmSJUpLS9PRo0cVEhKiXr16KSMjQ2VlZXrsscca3TFhMBgUEhKiwYMH64YbblB9fb22bt2qzMxMFRUVtYlxGAmKgEucPn1aixYtkslkUlRUlLZv365Zs2apb9++GjJkiPsAFRoaqoSEBMXFxSkoKEi7d+/Wxo0bdeHCBUVFRbW6Tv635drJnz17VosXL1ZhYaFee+0191mDEydO6KOPPmp0i44kTZ06VR07dtQPfvADhYeHy263u6+MeOWVV5SUlKR7771XISEh1z2QVFVV6Y033lBDQ4NGjRrV6AoLVwetoaFBFotFw4YNU//+/bVv3z6lp6dr9+7dqq6udo8l1RKP9mxueXl5eu+99/TAAw9o0KBBev/993X8+HFNmTJFxcXF2rhxo7Zv366YmBg9/PDDjTp2U6dOVVJSku655x4FBwdf9Tva+jL6rmpqarR06VLt2LFDL730kgIDA1VZWalp06ape/fueuihhyRJhYWFmjZtmh588EENHDhQDQ0Nmj9/vgoKCvSrX/3KfcA3Go2NbjkaNmyYBg4cqD179mjz5s3at2+fsrOzdeLECT3zzDOKjY1V9+7d3U+gWb9+vXtA4La+P8nLy9Ps2bN19913a9iwYaqrq3NfTfjHP/5RffpEjR8jAAAgAElEQVT00X333afAwEB98skn2rdvn377298qODhY1dXVKigoUH19vQIDA1ttaFZXV6d33nlHDodDP/7xj/XVV18pPT1diYmJstlsV3zioMPhkJ+fnzp27KjExETFxsbq9OnTWrlypXbt2qWgoKBW9wRH13gl77zzjnbs2CGDwaCUlBT17NlT0sUfdQsWLNDo0aM1YsQI9/hynTp1UlJSkpKTk7VkyRK99tpr2rFjhwIDA1tdjZdy/ShdtWqVZsyYoTVr1uj06dPauHGjbDabHn/8cUkXr5h79913NX78eI0bN8595t3f31+DBw9WQ0ODLly40Gjb9wauW+zq6+vdV8aVlZUpISHBPYh5XV2dDAaDoqKiNHr0aEVERKioqEjJycnugXHr6urcoWFzXaWTlZWl5cuX69lnn3X/TbqupCkoKNAHH3ygH/7wh0pKStLBgwf1xRdfqLS0VHa7XV26dJHVatW2bdv073//W5999pmKiorUvXt39yC1rf3qojNnzui9996T1WrVz3/+c3dfzhVcT58+XSUlJXrooYfUvXt32e12vfrqqxo2bJjGjBmjwMDAy2ps7v5Cbm6uXnvtNW3dulU7d+5UUFCQunbtetmQBn5+furQoYNSUlIUFxengoICrVmzRocPH5a/v79CQkIanWj0Za51VlFRIX9/f/eydP0N2mw29ejRQ506dVJ9fb1Wrlyp9evXKyQkRN26dZPBYJCfn58yMzP13nvvKSoqSocOHVJGRoaKiorUoUMHhYeHf6NlnZGRofnz52vUqFHq1q2b5syZI4PBoOeee8794IAbbrhBZrNZa9eu1YoVK/TEE09o6NCh6tmzp+644w4ZjUZ98MEH+vTTT+Xv79/sx5Nt27Zp3rx5Gj9+vIKCgrRmzRoNHz5cgwYN0ve+9z2FhISotLRUs2fPVnp6unr37u1uz/r16/W3v/1Na9asUV5enrKysnTq1CmlpKQoKCio2dr83yIoAi6xefNmzZw5U926dVO3bt00e/ZsVVZWaurUqe778F1cA64lJiYqLi5OFRUVWrNmjXJyctSuXTtFRkZ+q7F4WhPXTj47O1vz58/XI488ol69ekm6eEDZuHGjVqxYoRdffNF9G9PKlSu1atUq91Ur0v9f0vzZZ58pOztbjzzyiJKSkhp9x9WsWbNGq1ev1pNPPum+msN1kHN1blyBkSTZbDaNHj1aNptNWVlZyszM1KFDh9z3YLt21m0xDLHb7crPz1dlZaWeffZZbd26VfPmzdNPfvITJScna+fOndqwYYM6d+6sF154wT3GgiQtWrRIGRkZeuyxxxo9lc8VZJw/f167d+9udPWDrzlw4IDee+89/fCHP9TAgQPdtymsWbNGzz//vEJDQ2W32/Xuu+/KZDLpiSeekNls1r59+zRjxgzdf//9Gjp0qPvzamtrderUKbVr10579+5Vdna2+vTpo3HjxqlTp05KT09XQUGBwsLCFBMTo+joaLVr104RERFKSEhwnx1dtmyZcnNzZbFY1L59+zY3ftHp06e1cOFCnT59Wn/6058kXfz7M5lMmjdvnvLy8vToo48qPj5e+fn57nUwZMgQVVZW6tNPP9Wbb77pHsPp0r9jqfWcIc7IyNCCBQv0y1/+UiNHjpTValVaWpouXLigESNGNLoS8tJBYqurq2U2mxUUFKRu3bopKSlJHTt21IEDB7Rq1SoVFBSoQ4cOioyM9Gh9rv34zp079eGHH2rQoEGqqanRqlWrtH//fkVHR6t9+/aKjo6W1WrVPffc4/4h6voRHRAQoNLSUk2ZMkXx8fGqqqrSqlWrVFRUpIiICIWGhrbK2y0LCgo0c+ZMWSwWhYSEKDc31337aVBQkM6cOaOPP/5YVVVVevbZZ2U2m2UymRQfH6+4uDht3rxZH3zwgZYtW6acnByZTCbFxMS0iu22KURFRWnIkCGKj49XQUGBsrOztX79ehkMBiUnJ7tvG3dduZCQkKDbb79d4eHhWr16tVJTU7VmzRqdPXtWSUlJTR62uPYR77//vsLDw3Xfffe5r0xxfdfrr78uk8mkBx98UAEBAfryyy+1efNm9erVS9u2bdOaNWtUVlamjIwMFRcXq0ePHtq2bZvWrl2r6upqJSUlteqxKV23Vaempuqpp55yD0rtuprINQ7f+PHjNWzYMPn5+endd9/VkSNHNGnSJHXv3l2SGoUKrvXaXPvgc+fO6R//+IciIiLUt29f5eXlacuWLSosLFRUVJTat29/2bbiGpR80KBB7r/VdevWqayszP3325rXU0twHXdeeeUVlZaWqk+fPsrLy9OqVatUWlqq2NhY+fv7KyYmRj179lR0dLROnDihL7/8Unv37lX//v0VGBioV199Vb169dLzzz+vG264QUeOHFFWVpaysrJ09uxZ9ejR45rLuri4WAsXLpTJZNJvfvMbLV26VBs3btTPfvYzde3aVfv27VNubq5ycnJksVh0/vx5de3aVUOHDpW/v78CAwNlMpm0bNkyffrpp6qoqNDmzZt19OjRZjueHD9+XHPnzpXZbNaLL74oi8WitLQ0WSwW9e3bV/X19crJydHrr7+u7du3Kzk52X1r5KeffqrZs2crKipKTzzxhMaPH6+OHTtq2bJlCggIUJ8+fVpNf+brCIoApyNHjmjBggWyWCx69tlnlZaWps8//1w/+9nPlJiYqJqaGtXW1qqsrKzR2W3XTrVHjx6KiYnRkSNHtGLFijY73ohrZ3XixAnNmzfPnfC7HD58WO+//75uvPFGjRs3zj3Pyy+/rEGDBumuu+5SUFCQ6uvrZTabdf78eU2ZMkW33XabRo0aJX9//+vuEEtKSvTmm29qyJAhGjt2rEwmU6Nxo7Kzs1VXV6ewsDD3jy5XABQXF6dx/8femcdFeV3//z0Dw74Pu2yCLAICCiqCIiogcYvRuCUm0exb0yRts7bf2iZp8kvbJKY1xiXGGjUx0cQdAQVkX2QRQRAEFZFNQEH2gZnfH76eW8YlSRuN0Pj5x5fPzDw8d3nuPfdzzvmcOXPo7+8nNTVVsPZGRkbY29sPyYX4hyCXy3FwcBARGevWrcPIyIgXX3wRgLi4OC5cuMBrr72Gubk5Z86cEV7TP/3pT0yfPp0ZM2agp6cn+l7qh/z8fN5++21RyvuXho6ODrZv386VK1d49dVXkclkNDU18fHHHxMVFUVkZCRwNVpi69atGBsb4+npibW1NevWrUMmk/HYY48JUrirq4vVq1ezd+9eampqRHTQAw88AICbmxvz589HJpORm5tLQUEBLS0tGBoaYmdnh76+Pvb29vj4+Ajv6MGDBykrKyMkJGRYkc/Z2dns3LlTpKf29fWhp6dHW1sbf/nLX5g5cyZRUVGo1Wo+++wzBgYGeOGFF1AoFBw/fpx//etfTJgwgb6+Pg4ePIi1tbXWHB0K73J7ezsff/wxnp6e3HfffSgUCnGwkp5ZIm4lgevm5mby8/PZtGkTGo1GeMlNTU2FfpGRkRHJycnY2tri5+d3B1v4735+5513cHZ2ZsWKFURGRmJqasrRo0fJzc1lxowZGBgYMGrUKE6cOEFqaipKpVKUjJfJZHzwwQcAPPPMM0ydOhUDAwPy8vJISUmhpaWFUaNGDYmqMIPT7OLi4sjLy+OTTz7h3nvvpbKykubmZqZMmYK5uTkFBQXs2LGDZ555Bnd3dxHlUFdXx/r16/nmm2/o6+vDxMSEkpISKisr8ff3F/p9wx3SPu/o6EhSUpIggjMyMsjNzRUE4uCU3OLiYj777DMOHDjAxYsXqampoaCggKamJoKDg2+ptoxky2zbto2IiAgCAgK07n/06FF2797NokWLGD9+PCUlJWzevJmFCxfy0ksvYW5uTkNDA7m5uTQ1NfHWW2+xZMkSTExMqK+vJysri7S0NJRKpaiWNtTQ2NjIp59+SmBgIAsXLhTXJXvq3XffxcTEhIULF2Jra0t9fT0ffvghc+fOZfLkyejp6aFSqSgoKOC7774jPT2dS5cu4erqetts24SEBJKTk3n99deZPXs2/v7+NDY2kp+fT2ZmJnK5HC8vr+uiixobG1EoFAQHB+Pn54dcLictLY28vDxUKhXGxsai+t4vDdK6tnfvXgoLCwkKCsLFxYWPP/6YzMxMLl68KMZbitb38PDAz88PMzMzurq6CAkJEcU8HnjgATw9PbG1tSUqKgpLS0uKi4tpaWkhMDDwpilVGo2G5ORkEhMT+fWvf41MJmPz5s34+PiwdOlStm3bxscff0x2djbFxcWkpKQwYcIEZs2apeUsq66uZvPmzXh6evLqq6+iUCjIy8sjOTmZS5cu4eHhccv2k4GBAVJTUzl06BC//e1vsbe3F/IjUqrjhg0b2LdvH2ZmZjzwwAPMnz8fIyMjCgsL+cc//kFkZCSPP/44Pj4+QlP12LFjNDc3M23atCGrqTV8Tq93cRe3EQMDA2RnZ1NeXs6f/vQnkYfq6enJzJkzuXTpEl988QVlZWWoVCpsbGy4//77CQ4OFt5We3t7YmNjsbS05OzZsyQkJPDOO+8QGRnJ7NmzRRWJoQ7J+5eXl8eJEyd4++23xWddXV3CqH/qqafE9a1bt9LV1UV0dLSIMJIOF+vXr8fMzEwcLAZ/djPs37+f3t5ecfCCf29yJSUl7Nq1iwkTJogDmTQGdXV1KBQKbGxseOSRR5g5cyabNm3i6NGjlJSUEBoayrx584Q2wnCBWq3GyMgIhULBwYMHOXXqFO+88w5wde52dHRgZ2eHj48Pn3/+OQkJCYSHh9Pe3o6hoSHTp08XKWeDvYBNTU0kJCRgZ2fHPffccyebeMcgpY2+8sorIlXiwIED9Pf3s2TJEuCqoPuWLVuwtLSks7OT1157DT8/P0pLS3nllVeEQaRWq0lMTCQzMxMXFxcSExMBiIiIoK6uDkdHR/F3ly5dSnR0NOvXrycxMZGCggKioqKYPHkyLi4uKJVKwsPD8fDwID09naqqqiFxiP6xqK2t5eDBg3h4eDBt2jQAYQh9+umnWFlZCS2M9PR08vLyeOONNzA0NKSpqYl9+/ZhZ2fHa6+9xvnz53n++ee5cuUKcLXAQHp6OiEhITg4ONyxNsLVyMe6ujqeffZZrfDxqKgoUlNT2b9/P87OzlRXV9PU1ERlZSW1tbVcuXIFOzs7TExMxL4gpaN5eXnh6OjIhAkTGDVq1J1qGvDvqIODBw9SV1fHvffeK9bdmJgYjh49ir29vVjbpeiFwsJCUQlTJpNRXFxMXl4ejz76qEhVs7GxISAggISEBPLy8hg/fjzjx4+/I+0cDGl/OnXqFAkJCcyaNUu0LzY2loKCAvbu3cuTTz5JfHy8qHADV+e4SqXigw8+oLm5mZUrVzJr1iz09PQoKSnh//7v/4iPj+fZZ5/VqqI2XCH11cGDB6mpqWHRokWEh4ezf/9+UlJSePvtt3n99dcJDQ1FR0eH+vp6/va3vyGTyXjhhRcIDg6mr6+Pf/7zn2RlZbFgwYJbTrh0d3ejVqsxMzPTsidOnz7NZ599xvjx44mIiKCjo4O4uDgUCgVLly4Fro63jY0Nf/nLXwgKChJzd86cOYSGhrJ//37S0tKG7DiqVCoREfX73/9eXJcIvoyMDMrLy4XeFsAnn3zCiBEjCAsLw9jYmCtXrrB9+3YSExPR1dWlu7ub9PR0DA0NmTFjxi1/5sbGRnbu3ElUVJSYC76+vrz11lskJyfz6aefUlhYyPTp04XAtrS37N69m5MnT/J///d/eHh4YG9vz/jx4zlw4AA7d+4kOTmZP//5z1p78S8Bgx3AycnJuLu7Exsby549e7h48SJjxoyhtLSUgwcPsnjxYjGfjx49iq6uLvfffz8qlQq5XM6//vUvIiMjhc6VSqVCoVAQGxtLeHg4VVVVIgvgRigvLychIYFx48Yxbtw4NmzYwKVLl1i1ahX/+te/SEpK4p577mH27Nk0NzezZ88ePvzwQ9zd3cW4dXV1kZaWRkNDA++99x6WlpYsXLiQgIAAEhMTRdpXRETELem/s2fPcuDAAYKDgwkKCkKtVmNgYMDUqVNZs2YNu3fvxs7OjkcffZTo6GhhCzQ1NQmd1UWLFmFnZycK9Ojo6GBnZ0dzc7MoADAUnF/XYuifWu/iLn4GnDp1iuTkZEJCQggMDGTr1q1cuHCB1atXc/r0aVavXk1dXR3jx49HrVZz4sQJ1q9fz1tvvYWtra0wpmtqakhKSmLZsmWMHj2alJQUMjIySElJ4cknnyQmJuZON/VHobm5maNHj+Lt7S02A7jaT/Hx8cKjBlejf3bu3AnAvn37UCqVuLq6oqOjQ1VVFSkpKTz44IPiwPND0URVVVUcPHiQ+++/XyvlTPJI5uTkcPnyZZHCJvV9V1cX27Ztw93dnVmzZmFgYIC9vT1vvPEGRUVFwoMZEREx7IgiadOWNqsJEyYIDSKJPJMOKkFBQZw6dYrExETkcjnLly8XBzsJUjpIQUEBBQUFvPnmmz9re4YSWlpaCAkJITw8HLgaMRcXF8dzzz0n5nh8fLzQg+ro6BAetcjISMaNGyfuVVdXx3fffcfs2bOZMWMG7733nqj409bWRmxsLJMmTRLVsJRKJa+//jolJSV8/vnn7Nixg4KCAqZPn86kSZOwtLTEycmJe++9V+gdDQeoVCpycnKorKxkzZo1wFWyzcDAgPLycjIzM1mxYgXu7u60tLQQHx+PmZmZWGuKioooLi4WZGh8fDzm5uair48fP87GjRtxdHS8o0SRNN4zZ868jtCxtrbm3nvv5ZNPPuHVV19FT09PaBJNnjyZ0NBQPDw8hEF57bpoYmIi0n3vFCSDVqVSsX37dqEFJ6GwsJC6ujpWrFihRdZXV1fj4+MjDp4A69atw9/fXxBBktBxcHAwrq6uXL58eUhEZEjjcOnSJQ4fPoxGo+Hxxx8Xn0+cOJHo6GiSkpKYNGkSo0aN0jos9/X1sW3bNkFuhoeHI5fL6evrw9/fHzc3Ny5cuAAwZMmFH4vBe+/u3bsZOXIkoaGhODg48MQTT2BiYsJ3330noiAvX77Mhx9+iJmZGStWrGD8+PHiHg888ACvvvoqp06duuXzQF9fn4GBAc6dOyfWISlCVE9Pj6VLl2JpacnRo0fJysriV7/6lRibzs5OTp06RX9/P4899hjwbz0Xa2trVqxYwYwZM773YHwncebMGQ4cOCDsKY1Gg0ajEeT0xo0bGT9+vIi0ysvLo7i4mKeeekoUKVm9ejVlZWXExMQwf/58urq6ePvtt4mLiyMiIuKWitJrNBr27t3LwMAA8+bNE3ueREZI5I+BgcF1VdguXrzIuXPnsLCwEBWIjY2NGTt2LG5ubuTk5FBRUfE/WZ34hyCNzzfffENHRwePPvqoKLLh6+vLypUr+etf/0peXh5hYWGcPn2azMxMcnJyMDc3x9fXF0tLS1avXo2RkRHTp08XFZAVCgUajQa1Wo2pqanWHnEtBgYGqKmpobW1lTfeeIPS0lIyMjKYPXs2PT09fPvttzzxxBPMmDEDQ0NDRowYQX9/P/n5+ZSUlAiiSCLx58+fL/RQzczMxH7S3Nx8nd3736Krq4v09HTq6+u1UuilqDYjIyMCAgJEdcTBn6elpVFfX8+vf/3r66q4dnV1Ca20oUoSwV2i6C7ugq6uLuLj46mrq+OPf/yj2Fijo6OxtbXlnXfeobu7mw8//BAXFxfgakrFu+++y5EjR1i2bJnwZmzevJmLFy9iZWWFm5ubqAazf//+YZUy0tfXR2VlJTY2NqSkpBAQEIBcLicxMRFjY2MWL14svvvJJ59gbm5OQEAAhYWFvPTSS8yaNYsVK1awbt06PDw8CA0NFdoi37cYqlQqvv76a2xsbIiKihLGmvSb48ePU1xczJgxY0Q6hvSdkydPcvLkSZydnbXKvspkMoKCgvjHP/5BYWEhPj4+t77DfgZIOkXNzc28++674nphYSE9PT1Cx2Ts2LGMHTuWRx99FBcXF0JCQm5IMNTU1LB//37GjBnDhAkTfrZ2DDXMmjWL6Oho8f+MjAzUarVIcbpy5Qpff/0199xzj5g75eXlGBgYMGvWLDHXpEikgYEBZs2aRWZmJk1NTfz5z3/m7NmzbNq0CT09Pa3xkIxfBwcH/v73v3P48GE2bdrEunXrKCoqYvr06YwdO3ZYRRLB1fUjOzsbpVIpjEhp/Vu7di1eXl4iwiA1NZXi4mIAfv3rXzNt2jTS09MFGdrQ0MC+fftYtmwZHh4eNDY2snv3bvz9/QkODr6TzeS7775DpVIxe/bsG0aLTpkyhcTERC5dusTzzz+Pm5ubVtqDRBjC0EijuxYSabJx40bkcjmRkZEiYvTSpUts27aNKVOmiBQPtVpNRUUFVVVV/OpXvxL3OXDgAHV1dSxdulQY+oMF362tre+4DpMEaRyKiorIyMjgqaeeQkdHR+hLyeVypkyZwuHDh2lsbOSRRx7R+n1ZWRn79+9nyZIlTJw4UfSLtP/p6ekhl8vp6uoa0gKmN4NE7AzGjh076OzsZMGCBYKMkMlkpKen4+PjI8Y8ISGBqqoqfv/73wsdQwkKhQI9PT1RAv1WQqrodPjwYbq7u9HX1yc9PR09PT1ef/11Ro0aRW1tLQcOHGDkyJFa1V0rKys5cOAAsbGxODo6MjAwIKKSpMPgUCA4r4U0BhkZGahUKrHHD9aL+vLLL+no6CA6Olo4zzZs2CCKt8hkMr766iuOHTvGs88+y4wZM8TYu7u7c+HChVuu+VNZWcmhQ4dYvny50FJSq9UoFAp6e3vZv38/3d3dzJ8/H9Cej01NTZSXlwvH1+DPLC0tiY6OJjo6esim+NxutLS0iLkwduxY1qxZg0ajYerUqSiVSiZNmsSmTZv47W9/S3d3N+bm5ixevJiQkBAsLS2pqqoiKSmJBx544DrHr0wm+1H9qqOjw6hRo3j11Vexs7Pjiy++QE9Pj0WLFvHOO+/g7+/PpEmTMDQ0FFFvUpGP/v5+4KojOzExER0dHVauXAloR8rf6v2kqqqKb7/9lrlz54rAAGm/d3JywsrKir6+PuDfNt3g6PSIiAhBukrPClfnZ3V1NeHh4SgUiiEbYXqXKLqLXzwUCgVKpVKIi33wwQf09vayYsUK4uLiaGxsZNmyZbi4uAiNDclr1tHRIe5TXV1NfX09kZGR4mBnYWHB5MmT8fPzw9LS8k418T+Gi4sLL774Ijt37uTjjz9mwoQJ2Nvbk5mZyRtvvCG+V1hYSEFBAU899RRTpkyhrKyMw4cPExcXx6FDh4CrehQ/1pAqLi4mJyeH3//+9yiVSuH9ksvldHR0kJWVRVdX13VGQm9vLydOnKCnp0cc+gcvutL3xo4deyu76WeFjo4OERERQjhWysmvr6+nt7dXhMQDZGZm0tLSwkMPPaTV99JG2tPTI4T/Xn/99TvRnCEBaY4MNnZ7enoYGBjg/fffZ9q0aaJyiqTHVVtbS3x8PFFRUVpRJBUVFSQkJPDII4/Q3t7OwYMHiYiIIDAwkICAAPbv349cLqezsxN9fX1h/La1tfHmm2/y4IMPCk2kzZs3s2/fPgoKCpg7dy4PPfTQkDQgbgZdXV2MjY2pqKjgr3/9K5GRkcTExAgx0pdffhkHBwdqamr49ttviYyMxNHRkfj4eHbs2IGurq4gQ9euXYuLi4vQikpLS+PMmTN88sknd7CFVyvl6enp8cQTT9wwqklKFw0ICGDXrl3Y2NhgaWkpDmkwNMmhwZDL5bS2tpKXl8fUqVO11pi9e/fS3d3NvHnzRPn33t5e4uPjCQoKEoZxf38/X3zxBRERESJi7FqdtKGG8+fPEx8fj4uLi0jJHXwI8vT0RKlUkpOTw7333iuuq9Vq9u3bh5OTE3PmzBHkkDTe7e3tQq9oOJJEDQ0NfPTRR4SGhhIbG4uBgQHnzp3j8OHDjBkzhrCwMODqvN6zZw8NDQ0sX74cW1tbQfjOmjWLoKAgMfZSv0rpF7fDoWZiYsILL7zA2rVrycjIQF9fn7CwMKKiovD396enp4e8vDxOnz4tUmwUCgVXrlzhyJEj9Pf3i6iywXN2KK/J0sG5pqYGlUrFxo0biY2NFTp3HR0dfPPNN8TExIjo7G+//Zbm5mYeffRRlEql0JhbvHgx06dP13oH+vv7MTExob29XUSW/FT09vayfft2sd5fWyny2LFjlJSUMG7cOBFtqaOjI/bxhIQERowYIZyI1xIXv1SCSIJSqWThwoXY29tz/Phxjh8/rpXuGxAQAMCECROYPHkyY8eO1bKN1q5di7u7O5MmTRLOrv9mDZc0+xISEigtLWXp0qV0d3dTU1PDnDlzrpOvKC4uxsDAQESCnThxgoyMDF544QXgxuT1rYS9vT0zZ84Ua8BgR49U1Ki2tlaQyNJ8zMjI4PLly0yZMkXr+aTnzcrKoq2tjUmTJmndd6jhLlF0F794KBQKHn74YeBqpFBqairLli3DyMiInJwc7O3tRWi5xCJfvnxZKPFLyM7OxtDQEF9fX+FFh6uL3XAiiSRERETg4eFBUlISiYmJZGVlYWZmxogRI4QhtX79evz9/QkMDMTU1JQJEybg7e1NTk4Oa9asYfr06YwZM+ZHV8dIT08XIayAEKmGqx7e48ePC7JECteEq56ktLQ04Rm5duP4XzAQNBoNlpaWhISEiGtS2tnIkSNFtItGo2Hjxo2EhoYSGBiotflI/V9RUcGhQ4eIjY0VXrtfIm60MT/11FPY2tqye/duNm/eDMDzzz+PjY0NAwMD7NmzBx0dHebOnSvmVUdHB7t27cLV1ZWJEyeya9curly5wpNPPgnAV199hVqtZuLEiULEVhqL+Ph42tvbhUGmq6vL448/zuzZs/nwww+HpfCmvr4+q1at4uDBg3zzzTd89tlnZGVlcfr0aWGASodqjQR1hCgAACAASURBVEbDk08+ibGxMZaWlqxZs4alS5cKoeCioiJ+/etfi2pg+/btY+bMmXd83urr67Ns2TKMjY1vuK5JYzZlyhR27dpFaWkpTk5Ow0KnbjDkcjkrVqwQJc/h3/pT9913n1bKTX5+PhUVFfzhD3/QikbS1dVlxowZQstrqBJEEqqrqykrK+PPf/4zcP1BxMjISFQDunTpknhHa2trycvL45lnntEigqS+aGlpobq6mgULFvzsbboV6O7upquri88//5zU1FQee+wx9u/fj6GhIZGRkYIwkA7806ZNE/vS0aNH6e/vZ8aMGVrjL/XN2bNnMTAw0NrfbhXUajWOjo6sWrVKpP05OzuL56iurubIkSNifW9sbGT69Ok0NjaSlpbG448/jkKhuO0H0lsNmUzGa6+9xueff05cXBzl5eVMmTKFefPmsXPnTiwsLIiIiMDCwoKenh6+/PJLIiMjCQgI4NKlS+zevRsHBwdRiEFCa2srLS0t2NnZ3TKSCK6myRUVFfHSSy8Jm1nq80uXLpGWloZMJhPvj2QbyuVympubSUtL48EHHxw2Kdp3Aq6urvT29rJjxw4sLCy0oucsLCxQKpUYGBiICDTJ1k9PT6eyspLnn3/+J0XQSSTKmTNnSElJwc7OjtmzZ9PS0kJbW5sggySnfG9vL7m5uVhbW+Ps7Exzc7OI/JPOZbf7nbSxsRGarIPXAGn9MDY25vz583R2dmJqair2/rKyMqysrESbpLVO+v1XX31FcHDwkNfLGl4Wy13cxW2AtHDV19cTFxeHhYUFS5Ysob29naqqKsEiD14g2tvbOX/+vIgyuHDhAqdPn8bBwUF4TYe6MfxD0NHRwcXFhWXLljF+/HiOHDlCSkoK7733HjNnzuTixYs0NDTwwAMPiEObSqXC3Nyc5uZmjI2NCQsLw9bWFvjh/hgYGMDW1hYDAwPef/99pkyZwv3338+IESOEeK2enh73338/oJ22cezYMa5cucJ9990HDF1m/qfg2v7T0dGhra2N3Nxcli5dKsJ0v/zySzo7O4mNjdWqrCNtUpcvX+bIkSOoVCot7Y1fEm5GWkprwX333UdkZCQHDhzAwsJCRKmVl5dz5MgRHn30US2dq7KyMvLz83n99dc5c+YMSUlJLF68GFNTUxoaGjhy5IhWip+0lrS1tVFeXo5SqRQeUin1wsHBgffff/92d8VtgdS/s2bNIjQ0lD179ohDx8yZMzEzM6O4uJikpCQefvhhjI2NuXz5MuXl5Zibm7No0SLgqhB+cHAwISEh9Pb2kpCQQE9PD0888cQdbuFVSBpW3wc3NzdsbGwoLCxk5syZP8NT3VpIh8nBOHLkCD09PVppkSqViq+++oqQkBBGjRqFTCbjwoULxMXFsWjRIry8vIAf1qgbCpg8eTImJiYEBgZqOSTg3++uq6srp06dQi6Xi/0mMTERpVIpIjQkSG3euXMn9vb2WpFZwwkjR47kN7/5DTk5ORw+fFhEF0dERBAaGiq+t2HDBgwMDJg2bZo48KekpDBu3Ljr9GEkZ1BcXByhoaG3JaJIGh/JphmMjo4O0tLSqKur49133yU7O5tDhw5x/Phx+vv7RXSY9PvhhIGBAfT19Xn66ae555572LhxI0lJSSQlJaGjo8ODDz6Iu7s7cFVDTBKnNjIyIi8vj7KyMq2iGVLqZUNDA2fPnmX58uW39HlNTEx45ZVXtATtpT7PyMigqqqK2NhYbG1tr0vT+eqrr0SFyOE2Tj83amtrhSSDFPmpVquxtLTEzMxMFI3o7+8XDqyNGzeKlLUf6/i9EaQxO3XqFLW1tTz77LPAvwXnT58+TVhYmIjGTExMpKysjPDwcOzt7dm1axeVlZXCNrpd5O217ZP+xo32AicnJzIyMoRW1+C5qVarhTNl8D03bdpEZ2cn0dHRN60ON1Rwlyi6i188JA2BzMxMioqK+N3vfgdAfX09/f39qFQqAGEw9vf3k5iYSG9vL/X19VRXV3P27FnOnj0rdBmGm+fp+6Cvr4+fnx/Ozs6MGzeOvXv3smHDBuBq1RtJVFnaVFpaWvj666+ZPXu2OPx+36YiLao6OjosW7YMV1dX9u7dS1JSEvn5+SKEv7q6miVLlmBoaKjVv21tbezdu5fp06cLsbihfhC5VSguLsbExAQbGxt0dXVpbW1l165d3HPPPVoHMyl9D6CkpER4g2+1vsBwwbWbuQRJN0UymgYbwl1dXezYsQM3NzciIyPF79VqNSNHjuTFF1/Ezc2NTz/9VJDNAF9++SX6+vqEh4djZmYmBILhqsFWVlbG7NmzMTMz0zqUDuc1ZPD7Z2VlxcqVK5k7dy5dXV24uLjQ2dnJrl27GDFiBPfccw8ajYaTJ09y5MgRXnzxRQBRjeWpp57CzMyM/Px8Dh8+zKOPPjps5q207vn4+FBSUkJvb++w83Zfu3ZrNBrMzc3R0dFh1apVLF++nNmzZ3P48GEaGhp47LHHRJSBlDYYHh4uCIDhsDbr6OgI/asbEfRwNRK5p6eH1tZWzM3N6e/v5/LlyxgZGYl9SOo7uVxOeXk56enpPPTQQ1oE/nCDq6srTk5O+Pn5kZ6eLsqVOzo6smDBAi5evEhiYqKWjkl1dTW9vb1YW1uLNMXB+Prrr+nq6iIqKupnX/PKyso4cuQIixcvxtfXFw8PD8aNG8fGjRs5f/68IMOG43ospWXB1XF76623yM7O5osvvmDs2LFMmjQJAwMDzp49K4qwSMRRUlISo0ePxt/fX+xZ0r327t2Lk5OTsDFuFZycnLQiFKX35/z582RlZaFUKpk3b574XBqT6upqiouLCQkJ0dKCuYuruHbuurm58cILL4hKjpKWp6SlJmkZSfbRV199RXd3NzExMUL756eu4y4uLixevFgQzE5OTkyaNEkUtrCxseH8+fN89913hIeHM2/ePKGrGR4ejre393Uk/q1Cb28vGRkZeHp64uTkJNp6M/Koo6MDPT092tvbMTIyEv1maGhIS0sLJ0+exNvbW8hkZGVlsXfvXpYuXSrSJIcy7hJFd3EXXCU52tvb8fb2FtWjrK2tsbKyIi8vj3nz5qFQKGhvb+fIkSNCh+Cbb74hLy+PK1euMGLECKGBM9wMCvhhT6+ZmRlhYWF4enpSVFREXV0d0dHRwmMoLY7r16/HxsaGqVOnCqPw++4r/U6KiAkLCyMkJIS4uDji4uLYtm0bBgYG2NraalWXkb5/8OBBLW2i4Y6LFy9iamr6ozyrUoUHKad7w4YNWFhYEBMTg7GxsTiYSv1fV1dHXFwcDg4Owkv6S0JbWxsVFRUEBQVdJ0gqQQoNvvZ6bm4uxcXFvPbaa5iYmHDmzBkcHR1RKBRYW1szefJkjhw5QmFhIa+99hoApaWlFBYWMmPGDK1qT5I4bmFhIQMDA0Ln5EZGyP8CNBqNMDDVajW5ubkUFRXx+9//Hj09PRobG9mzZw+enp5MmzZNVNmKjo7Gz8+Py5cvs3fvXuzs7IbVvJXG093dnbS0NNrb21EqlcMq4vHatVsmkxEVFYVGoyEpKYn169eze/dumpqaiI2NFdFEWVlZnDhxgmeeeea6KI7hhGvbLx26zMzM0NfXF6SYrq6uSEWX0s6k37a3t/PJJ5/g4+NzXerVcINEGvj5+eHq6oqfnx9Hjx5lx44dJCUl0dPTw6hRo7R0TCwsLLh8+bLwnA8mTCsrK0WxgGsjsX7qc96sn6XPJFFcIyMjli5dClx1jBkaGtLT08PEiRPx9fXVIveHG67VaQwNDSU0NFSkFMHVgiQjR45k4sSJGBoa0tDQICqfgbZjpaKigqysLB5++OFbmnZ2IwxODayoqGDWrFk3FP09dOgQBgYGjB8/Hn19/WERtfhzoLGxETs7u+ucT1JZdgmDNfOk/pPmRltbG19++SVz5swRkZD/af9KlQYHw9fXV6SlSuO5fPlympqa2LJlC3K5HAMDA2bPns3999+Pvr4+Bw8epL29naeffvq/75QfgaysLP75z3/i4eHBrFmzCAgIQKlUXtdm6bkNDAzQaDQiwljqH39/f7777jv27dsnNCkTExNJTU0lLCyM++67b1g4ju4SRXdxFyBU96WFQK1Wo1QqmT9/Pps2beK5554jJCSE4uJi6urqiI2NZeXKlaSlpbF9+3ZaWlqEKPBw9DzBv0umf9+zy+Vy7OzsrkuhkEibkydPkp2dzYoVK37Qs1NZWUlhYSFTp07Fzs4OXV1dBgYG0Gg06Onpce+99zJp0iR2795NWloaNTU1vP322yxYsEBEKl28eJHdu3cTHR09ZMvT/ieoqanhjTfeYPbs2YSFheHk5CTG40abs5GRkTiEnTx5kszMTFHtbP/+/bS1tREcHIy3tzcymYyCggJKSkqE9sYvDWvWrCEnJ4d77rmHyMhIfHx8tIQJbyZU2trayjfffMOkSZOwsrLik08+ITU1lYkTJwpBVCl3XqraAVeFl3t6erC0tLwuP72lpYWEhARmzpyJqanp/7RxO7hdFy9eZOfOnUycOJHx48ejUqnIzs7m1KlT/P3vfwfg008/xdDQkJiYGPT09EhJSaGoqOiOzdve3l6uXLmCubm5MKB/zHhJ35G89C0tLf8TpZlNTEy47777CA4O5vDhw+Tl5REcHMy8efOElzo+Ph5/f3/Gjh2Ljo7OkJ7fg/UEfwiDdfHUarUg/wBGjRpFfn4+aWlpTJgwAX19faqqqti1axcXL17kzTffHJZ6hYPHbnAfmZiYMHnyZLy9vRk7dizJycl0dHQwZ84csR9LqbRGRkYUFBQwc+ZMQaSVlJSwYcMG3N3dmT9//k/W7xpMIHxfeoz0WW5uLjk5Obzyyivis87OTlJSUrh48SLvvfeeuO9ws+luFv0g2XhSP2VkZHDq1Cmee+45XF1dAcjLy8PExERLB06Knl2zZg2enp5Mnz79lrzPP6bS08iRI7G3t2fv3r20t7czf/58YRsVFRVRWlrK6NGjhaN2qK4zPzdWrVqFmZkZDz/8sEjJG5xCeC26u7tRqVTo6+sLm76trY0pU6YQHh4uiJD/pH/PnTvHu+++y5IlSxg/frxWurZ0HymS29HRkb/97W+UlJSgUqlwcHAQKf7l5eXExcWxePFizMzMbus5a/LkyWg0Gnbu3Mk//vEPQkNDmTFjBt7e3lrPL/VhV1cXxsbGIvtEaldISAiLFy9m3759ZGZmAleJ6KioKFasWCHS64Y6dFatWrXqTj/EXdzFUICent51Jdwl1r2hoYHS0lL09fV54IEHWLx4Mbq6upibm5ORkYG/vz9z587VSvEZLqipqaGkpESLlJBCUX8spDa/9dZbODg4sGDBgh/Mu129ejWJiYmcO3cOAFtbW/T19ZHL5fT396PRaDA1NSU4OBgfHx86OjrIz88nNTWV5uZmRo0axddff01jYyPLly/X8pAMVzQ3N1NRUUFGRgbl5eXo6upiZmZ2U8Hcwfjzn/+Mo6Mj999/P8bGxqSmprJ7927Ky8uRy+U0Njayc+dOvL29RVrULw329vbU1dWRmZlJSUkJXV1dKJVKTE1NxeEBrjeEdu3aRU5ODi+//DJffPEFGRkZKBQKKisrKSoqorW1leLiYgoKCoRxBleN9ZycHCoqKmhvb8fY2BgzMzN0dHTYtWsXp0+f5umnn8bMzOwXYdyqVCr27dvHsWPH+N3vfoe5uTmXL19m7dq1+Pn5ce+991JbW8s///lPHnzwQSZOnMiFCxfYuHEjnp6ed2zexsfHs3PnTjo7OzEzMxPzBb6fMJKuNzc3k5ycjJeXl6j4MlTR09PDuXPnvjc9StofzM3NGTt2LAEBAcTExGj9JjIyEn9//2GRDixVYJMqSd4Mg9eHoqIizpw5w8qVK8VvFAoFR48e5cyZMzQ1NXHs2DG2bNlCXV0dzz///G0Rar5duBE5dG3/SN8xNjbG09OT0aNHM2PGDHx8fIQtIZfLMTQ05Pz582RnZ9PY2MiVK1dE3/T09PCHP/xBS/Ptv4X0nOnp6RgbG39vZTmVSkVhYSEymYwVK1aI662trRw6dIiIiAjCwsKGleOvsbERjUYjoohvtDZJh3JpHFetWoW/vz9z5swRh+Bz586RmZkpRLzhamTJ1q1bOX78OE8++eRPXsd6e3uFpssPEbVGRkYiBSgzM5Pk5GQ0Gg02NjZ8/fXX9Pb2smjRIqytrf9j2/V/FZcuXeLcuXNCqL2hoQF3d3dMTExuutYpFAq+/PJLkS6sVquxsLAgLCwMa2vr/0qb6MKFC+Tn53PkyBHOnDmDUqnE0tISHR0drfsMfiZbW1scHBy0SBlra2tRnVr6/u0aZ7lcjpubG2FhYRgYGJCamkpWVpaIjLKwsNAiXl1dXRk/fjz29vbX9amzszNeXl6MGjWKoKAgli9fzrRp00TBo+EwV+8SRXdxF98DQ0NDxo4dy9ixY1m0aJFWKVG1Wk16ejrJycm8/PLLWFpaDouXfjAqKip4//33iY+P5+TJkyiVSuzt7a87BCUnJ2NpaXnDdChpcU9ISODw4cM8/PDDQtD7+xAeHg5AamoqeXl5NDY2YmhoiL29vfB4qVQqdHR0sLGxYcqUKdjb29PY2Ehubi779u2jsrKShQsXMnHixGFXTehGsLKyYty4cTg4OAjh5Pr6egwNDUWqw40g6Q4tWrQIX19fZDIZ3t7euLq6UlVVRUJCAgUFBbS3t/PWW28Ny9LMPxUajQalUsmMGTMYMWIERUVF5OTkUFVVRX9/vxBSl8LsB0cXFhQUEBwcTFhYGFOnTgWulmiVPi8tLaWqqoq5c+cybdo08XtHR0d8fHxobW3l8OHDlJeXA1eJg82bNzN//nwmTJgw7MjlwZAEKLu6ujA3N//e716+fJktW7YwdepUUe5eoVBgZ2fHwoUL0dXV5ZNPPqGjo4OFCxeiVCqJi4sjIyODt95664b6Jj8HJMIvKSmJ+vp6ZDIZZmZmGBoafu+aL62f+vr6ZGRk4O3tjaen55A9zKhUKg4ePMi+ffsIDQ29qcfzWuLA3Nxca/2Vrv8Yse87ja1bt9La2oqbm5uWAOng8ZHaM/hwcvz4cUaOHImnp6fYF62trXFycqK6upqsrCxqa2sJCAhg5cqVWgK9wwEymYyuri4OHjxId3c3Dg4OgmSQPh+8RkrEoYmJyQ3XM19fX+rq6sjKyhJlzkNDQ3nkkUdExN2twJdffsn69evZv38/HR0duLu7i/EZPK46OjrY29szbdo09PT0xBgbGxtrRU3fzgPprURLSwsffPABlZWV6Ovro1QqxTt5I50xmUzG1q1bKSoqYsWKFXh6eorPKysrycvLw8vLCycnJ1QqFV9++SX79u1jxYoVTJ069SfvWR999BEtLS04ODjccN+VnnFgYABdXV0hAu/s7ExbWxuJiYnEx8fT2trK1KlTmTZtGjC0CemfE4aGhoSFhTFixAja29s5duwYKSkp9PX14e3tLebGtYSRTCZjzJgxODo6XkfkDP73x8La2pqgoCCUSiX5+fkcOnSItrY27O3tBWkl4YfmlERO/pgotP8GPT09VFZWivRwQ0NDRo8eTVhYGLW1tSQlJXHu3Dn6+vqEw0haM26WUm5oaIiTkxM+Pj6MHj0aS0tLrajH4YC7RNFd/GIgbTzt7e20tLSIEPkbYbC4m0wmw9TUFIVCoVXhpKWlhY8//pgpU6YMS32cjo4O/vWvf1FfX09gYCBlZWUUFBSgUqlwdHQUm3d6ejoffPABQUFBODg4aN1D8kyp1WpWrVrFxIkTiY2NxdDQ8AcFrHV1dQkICCAiIoKLFy+SkZFBUVGR0DKQvA4ajYb+/n50dHRwc3Nj8uTJGBsb093dzfTp04mKirrtufI/J4yMjHBzcyMwMBBjY2Oys7PJyMigvb0dExMTTExMriPFFAoFo0ePZsyYMeJwp6enh4uLi6g0o1KpmDdvHoGBgXeiWXccg71hrq6uIuUrKSmJyspKampq0NfX18rplwwSd3d3goODRQqCr68vM2bMoKWlhTNnzmBoaIi3tzf33XefyGWX/patrS1BQUG4u7tTWVlJUlIS6enpeHh48OCDDw77uXvmzBn+/ve/Y2Nj84NeZrVajbGxMbNnzxbeZB0dHZydndHV1aW3t5e8vDwqKiro7++nvr5eiLNL2nF3AkqlUlRikQi/pqYmQeBeK6595swZWlpaUCqVYs74+fkxYcKEIX3wPH/+PP/85z8JCAggLCzsht+5lii4UVuGC/FZU1PD3/72N/Lz8zl37hw2Njbi/ZUOUAMDA5w4cYLi4mJcXFzE2uDt7U1gYOB1uhSOjo6EhYURHR3NzJkziYmJuW7fHA7o6Ojgs88+49tvvyU7O5uGhgacnZ1F9KNkGx0/fpySkpLvfffVajUGBgZMmTKFkJAQxo0bx5IlS4iNjb2lqZjV1dWsXr2a8ePH4+joSFpaGklJSRgaGgrtLLVarRUJJe2Xgw9v14qRDweo1WoRPVJaWkpnZyeGhoZa2ipSe2QyGX19fezYsYPg4GCmT5+Ovr6+FlGTkJDA+fPnKS0tZcuWLZw8eZKYmBgefPDBn/x+V1dXs379egoLCzl//jx6enrCQQgIB2FHRwe5ublYWVmhr6+PgYEBbm5ueHt7Y2trK0iNuXPnYmhoOGQJ+J8T0hhLfTFixAhCQ0MxMzOjoaGBjIwMsrOzMTExwdXVVauAh1wux9vb+5aWa5ecKiNHjsTX1xcdHR1SUlJITU0FrkZ5S5Uz/5N73g7k5OSwevVqKioqsLCwwNbWFrlcjkKhEFkl5ubmJCcnU1NTIyL+v+/5pfEYTmvJtbhLFN3FLwaS8ffXv/6VgoICfH19b+qhvhF7PjhPXa1Ws2vXLsrLy/nNb34z7CI0NBoN+fn57Nixg9/+9rcsXboUV1dXTp48SXp6Or29vTg5OaGnp8ff/vY3fH19iY6Ovi6iSOqfLVu2UFxczMqVK4U20fctioM9kWZmZkyePJnRo0dz6tQpsrOzKSsro6+vDxsbG4yMjERutRRW7evrKzRO7lSUwe2E5KX38vLCz8+P/v5+jhw5Qnl5OQMDA5iammJsbKxVXcHe3v66A6tkDPv4+DBt2jQtr+EvEdK8U6lU6Onp4eHhIbxskmbW5cuXMTMzw8rKSnxfmveSUSWlRYaGhjJmzBiqqqqoqKjg5MmTYt4Onpf6+vq4uLgwduxY7O3tUalUPPHEEzg7O//8nXAL0dPTwzfffENlZSWPPfaYWAdvZhTp6enh7u6OQqG44ee6urqMGTMGlUpFSkoK+fn5mJmZ8ac//em2t+VmGBwV1NjYSE5ODj4+PhQWFlJQUIBMJsPDw0OQt52dnbz11ltUVFQQEREhxENvJIY5lNDT08PXX39NQ0MDL7/8sjB+JcLkzJkz6Ovro6enJ9pRVlZGXFycqOgylNt3I5ibm+Pv709TUxN5eXnk5uZy+fJlnJ2dBQFUVVXF6tWr6evrIyIiAkDo6A0m7Afrbejr62Nqaio8zsMNkn2wdetWZs+ejY6ODvn5+Zw6dQpjY2Ps7e0Fsfvmm2/S0dFBaGjoTaN6B6cXKZVKnJ2dfzD68L955jVr1qBQKESJ9REjRtDU1ERcXBzHjx/Hy8sLCwuLH5VmKD33cIGenh4hISH4+flRUlJCXl4e586do7e3V0R6XRsBNnLkSEJCQoRMgPS5lZUV5ubmlJWVUVlZiZOTE08//TTR0dG3JHLb0tKSOXPm0NnZSWpqKvn5+TQ3N2Nqaoq1tbWws1evXk1aWhrjxo3DwsJCrMWmpqZ4eXkREhIiBLgHP/8vGZIzPCsrS0ShKxQKPD09CQoKQldXl+rqalJSUjh16hQjRowQ0TCSnthP7UdpfjU2NtLQ0ICpqSn6+vpYW1vj5eWFt7c3ra2txMXFceLECUxNTbG0tLzjmj2SptyJEyfEnHRwcKCtrY3PPvuMqVOn8oc//AErKysRoXXp0iURwXejFNX/NhJrKOEuUXQXvyjs3LmT+Ph46uvrCQgIYMSIEVpeiLy8PHbu3ElgYKA4dHd1dV2n2n/mzBn+8Y9/sGzZMsaNG3dH2vJT0NLSwrp160SJSh0dHUaMGMGsWbNob2/n4MGDtLa2Ul1dTVFREU8++eRNK9eo1WquXLnChAkTRL/9GPZcyv2Xvmtvb09sbCzm5uZCZLKmpkaEiEsRXf39/chksh9VFWy4QuoTXV1dbG1tGTNmDC0tLRQVFXH8+HFOnz6Nnp4eZmZmWiTlzfp9OHszbjUkz5lMJmPjxo3U19fzxBNPsGDBAsrLy8nKyuLkyZPXlXMe7I2VjCpJ3D0mJgZLS0uOHTtGTk4OZ8+eFfNWMqwl0s7Ly4vp06djZWU17MeltLSUzz//nBUrVohItcGRGPn5+VqCqK2trWzfvp2mpiZROnswNBoNBgYGBAQEMHbsWGxtbZk7d+4d1R+TxqempoYtW7Zgb2/PO++8w+jRoykvLyc5OZnQ0FChz3P48GHS0tJ49tlnb4nuys8FaSyXL1+uNZY6OjqoVCpeffVV9PX1GTlyJDo6Oly+fJlvvvmGQ4cOsWzZsmFLiNjZ2TF9+nRsbW05ffo0eXl5FBQUiHc7IyODrKwsXnrpJaysrG5b2sNQwmD74Le//S0zZsxAoVCQnp5OcXExxsbGjBo1it27d3PixAmefPJJrff8RpDWztu15uXk5PD111+zcuVKvLy8MDQ0xN3dXaQGFhYWsn//fjQajVbqzbUYrmuyNC9NTEyorq7m/PnzQh6hqakJjUYjInOkPUypVN7Uyeni4kJERAQxMTHExMSIqM9bgYGBAVGlbMKECZw9e1ZUSezo6GDkyJHU19ezdetWIiIiCA0N1XIuSJHsd5pYGKrIy8vj448/prCwEFNTU5RKJQqFAhMTEwIDA/H09ESlUpGbm0tKD7oc+QAAIABJREFUSgqtra24u7tjZGT0o0nU74M0Th999BGHDh2ir68PU1NTzM3N0dfXFyn5rq6uVFRUcODAAVpbW7GwsMDCwuKOrK9S1bLIyEjc3Nyorq4mNzeX48ePCx3K//f//h8AI0eOJDw8HB0dHeLj4ykvL8fb21tUdh18z+G4llyLu0TRXfxicO7cOT788EMmTpxIbW0t7u7ujB49WoRpFhYW8tFHH6Gvr4+/vz+mpqb09fURHx/Phg0biIiIEBtTcnIyfX19PP7448NOG2dgYIDDhw9z9OhRXn75ZWxtbcV1uVxOcHAwTk5OHDp0iOPHjzNv3jymTJlyXbSKBJlMhrOzM66urkJD5/tSzgZ7XqVrUvqaTCbD09OTmJgY+vr6hLfp4sWLGBsbi1DQa/PZhzsGp3MMDlWVUu5qa2tJSUkRYn4lJSUkJSXR3NyMkZERZmZmWp7+a/G/0k8/FdLBVyaTce7cObZt28aYMWOYNWsW9vb2xMTEYG1tTX5+PtnZ2Zw9e1aIK0pl3Nvb20WkgEwmE2M0atQo7rnnHjFvjx07RmNjo9C8GPwMwy1H/UZob29n06ZNGBoa8uSTT2rpYcjlctavX8/Ro0cZM2aMSPPNy8tj8+bNjB07Fi8vr+vuOVg/xNraGj8/vztKEknvYm9vL0eOHCE1NZU//vGPmJubY2RkxIkTJ9BoNDz00EPIZDKamppYvXo1YWFhxMbGDhsR3B8ay3Xr1lFVVcWcOXNEGlVubi47duzg6aefxsvL6ycfLu4EpL2nu7sbLy8voqKikMlknDhxgqysLI4fP05eXh7R0dFER0eLikHD+b39IQy2D1566SVx+Bk9ejRTpkzh5MmTJCQk0NHRwf79+4mKimLatGk/2g66HX3X3d3NBx98gKenJwsWLMDAwEDYBxYWFvj7++Po6ChS3M+cOYODg4Mgd6W5Gx8fT05ODr6+vsNiLkttVKlUov8LCwvZvn07Tz31FC+88ALt7e0cPXqU6upqoQNpZWX1g+3T1dXF0NAQExOTm9p+/y0ke2+wbqCzszOFhYXk5uZy6tQpUlJSMDc3Z/ny5SiVyv+ZffPngIWFBc7OzlRVVXHgwAFqamqwsbHB1NQUXV1drK2t8fb25tChQxgZGXHy5EnS0tLQaDRalWB/6ppuZ2dHeXk5SUlJnD17VqShGRkZYWxsjJubGwDHjh2jvr6elJQUurq6sLOzu06/6OeCWq3GycmJmJgYDAwMKC0tpaamRghsS4LVRkZG+Pv7M2HCBCEXYW5uLjIfJPvwfwF3iaK7+EVAo9Hw6aefotFoeOKJJzh69CgODg4EBgYil8tJTExky5YtmJmZ8fLLLwtjuKqqig0bNhAYGChKJkohu+PHj/9enaOhitraWtauXUtERASxsbHiupRWI2m4FBQUYGBgwJIlSwSZdC2kUNXB2k3fB5lMxsWLF/nggw/o7e3Fw8ND6+9KBJC+vj7BwcGEh4dTV1dHRkYGxcXFXLlyBUtLS8zNzbXC2Yf7giy1vbe3F41GQ09PD3p6eujo6KBWq9m3bx8lJSU8/vjjTJ06ldGjR2NgYEBmZiaZmZl0dXWJVIfhcjj9OXHy5EmOHj3Kvn37OH78OK2trezZswe1Ws3ixYsZMWIE/f39yOVyPDw8mDlzJgMDA2RmZpKRkSG8XKtWraKoqEjMQ4kw0mg0DAwMoK+vz7hx45gyZQr19fVkZmZSVFREW1ubCOe/VhB2OEKtVpORkcGePXv41a9+JVLoJCKutraW1atXExUVxbhx41AoFNTV1bFt2zYMDQ158cUX73ALfhyk8amoqGDz5s2Eh4cTExPDwMAAZWVlbN++nccee4yRI0eiVqv56quvqK6u5rnnnruuDPpQ9S7+mLH8+OOPWbBgAWFhYSgUCi5cuMD27dvR19fnhRdeAIaPLtFgyOVyamtrWbVqldA9CQgIIDQ0lPb2dk6cOEFfXx8ODg64uLiItCW1Wg0M3/f3+3Aj+0CtVos08UmTJqFSqdizZw8uLi4sW7bsluoM/TfYv38/mZmZPPPMM2L+Dk6z0tHRwcXFhaCgIDo7O0lLS6OsrIzRo0eLtb2/v5/XXnsNExMTxo0bd9PCEUMJUhvXr19PW1sbxsbGrF27FgsLC5577jnkcjldXV1kZmZiY2PDsWPHKCsro7OzE3Nz81ue/vefPvtgh5+Liwvz5s1DJpORmprKpUuXMDc3x8PDA0dHx5sKzd/F9ZBS3f38/FAqlRw7doxDhw7R2dmJnZ0dZmZmfPHFFzQ0NPC73/0OJycnLly4QFpaGnl5eZibm+Pk5KSVav/f9Lm1tTXTpk3Dzs6O3NxcUbFYT08PCwsL9PX1Wbt2Lc7Ozjz66KPo6uqSmJhIdna2iKa/3ZkDGo2G8+fPi7U9JyeHnTt34ufnR2BgIBEREfT391NWViayHCwtLbG2tkYul2NlZYWvry9GRkbEx8ezefNm8vPz0dXVxcnJ6bY++8+Fu0TRXfwiUFBQwLZt23jooYcICgri8OHDWFlZERoaSkpKCmvXrsXd3Z0XX3xRkEQdHR3s3r2b6upq3nzzTRGyq1arUSgU/7EA21BAb28vO3fu5OzZs7z88svX6ftIm0FlZSVbt25l0aJFjBs3TmgEyeVyOjs7qa6uFgLf/0moand3N6tXryY/P1+I1np7e2uVmx4cXmxhYcHUqVPx8PCgtLSU7OxsKioqGBgYwMbGRlQdGu7GQ15eHnv27OGLL74gJSWFtLQ0qqqqUCqVlJWVkZCQgLe3NwsWLACuagh4e3vj6+vLlStXSEpKorS0FI1Gg5mZ2R3zxgwVDBauP3jwIGvWrKGoqIhLly5RU1NDVlYWjY2NuLm5ERsbi4GBgZYwu56eHkFBQYSHh9PU1ERkZCRbtmyhsbERtVpNVlYW586dQyaToVQqMTAwEOlWg+etp6cnpaWl5OTkUF5eTn9////EvG1sbOTTTz/F39+fxYsXi+vSGvDee+9hZGTEokWLsLW1RaVScfToURISEnjllVewtbUd8hEog+fQ7t27OX36NO+88w66urq0tbWxbt06bG1tRXn006dPs27dOu6//34mTZrEwMAAdXV1XLx4URCEg+87VPBjxtLQ0PCGY/nqq6+Ka4MJ6qE8r7u6ujh9+rSIlPjoo4+4cuUKYWFhWFlZMTAwgLm5OWFhYXh7e1NfX09BQQHZ2dl0dnbi6uoq3t+hPof/U9zMPpBSlSRtpv7+flJTU1m8eDFBQUFa9sFg/Bz9IzmeoqKimD59+nWRTYPnobGxMRMmTMDGxoaCggLmzZsn7Lj169fT2NjIypUrh4V2nPSOZWdnc+jQIRQKBYGBgWRlZfHwww9jb29PbW0t27dvx9TUlI8++ggPDw8qKytJTU1FJpPh5eWlRYj9HA6M7u5uWltbrxOBl+aKv78/0dHRtLW1UVRURFFRES0tLVhYWGjpBg61dXQooa+vD4VCIYg2qRJuUlISmZmZNDc3c+jQIRYuXMjUqVPx8fFhzJgxyOVyKisrSU5Oprq6Gmdn5/9I00vC4LGRioFMmzZNPEN+fj7d3d0UFhaSl5fHb37zG8aMGYO3tzejRo2isbGRAwcOUF5ejrm5OdbW1rctc+PUqVO8/PLLjBo1Ch0dHT777DMaGxtZsGABAwMDGBkZERwczJgxY2hoaODYsWMiFc3BwQETExMqKyv54IMPiI+PF06xkpISwsLChp1+7Y1wlyi6i/959PT08NFHH+Hq6sqSJUvo7+8nKSkJPT098vPz2bt3L1OnTuXhhx/Wqk5y4sQJtmzZwoMPPkhgYKBW1MtwRXl5OZs2bfpBbaW//vWvWFlZsXjxYhE1JW0S77//Pjt37uTYsWMYGRnh4uLyo709qamp7Nmzh0ceeQRLS0uysrI4c+YMI0eOxNLS8rrwYqnPJf0kAwMDsrKyyM7Opq6uDj09Pezs7IZd+p/Urq6uLg4fPszq1aupra3FzMwMAwMDGhoaKCkpITExkdLSUnp7e3nqqaewsrKir68PHR0dUVbc398fd3d3zp79/+y9d3TUdfb//8hMMsmk92TSeyOd9IRO6ARRBERccdVFRVF3rXv2+7Gtq6ur66q4KgoqRUSkSEgoARLSG0kIqRAICYFAeiVtJr8/+L3fZugqJWHzPMdzZDJ55/3q93Xv8z5vNUlJSZw6dUoUUx2JzsybAWEOfvvtt/z0008EBgby9NNP8+CDDzJ58mR8fX05ffo0x48fx8LCAnd398to7YLTbfz48RQWFrJz505efvlllixZQnt7O7m5ueTl5dHU1IS2tjYWFhZoamqq6WjZ2toye/ZsdHV1ycrKIjs7m9raWrS0tNT0i0YS+vv72bVrF/n5+bzwwgtiVFpgZGVlZbF161aWLFlCcHAwEomEqqoqvv32W8aMGcOCBQtEp9xQDDfngvAuBQUFbNiwgQcffBBfX1/6+vpIS0tjz549PP/881hZWdHX18eXX36JhoYGf/rTn9DS0iIlJYV///vf5Obm0tHRgYGBgWh0Dxfc6FguXryYsWPHqo2lj48PCxYsABB1jBobG4e9k3rfvn3s2rULb29vTpw4wY8//sjSpUvFuTp0XioUCmJjYzEyMqKiooLc3FwKCwvR1NTE2dn5rnISwfXtA2FcV61ahampKffff79YtVHoi6KiIhoaGrCysrotLJBvvvmGc+fO8dhjj2FmZiZ+LpyxlZWVZGZmilXPAFxcXNSqpZ45c4aPPvpITLPX1NQc9o4IDQ0Nenp6WL9+PW1tbSxcuBBHR0eio6Oxt7ent7eXpKQkDhw4wKuvvoq5uTk2NjZER0djZWWFsbExY8aMYXBwkL6+PgYGBq5aZOBmoa+vjw8//JD169djbW2Ng4PDZVIESqUSPT09IiMjCQwMpLKykqysLEpKSujp6RELRYzkQMutRFdXFxs3bkRHR0e0SczNzfHy8sLDw0NMvxwYGCAqKgpbW1s0NTUxMjIiODgYFxcXLly4QFFREQcOHKC9vV3U+bpRCLb70aNHxdRxbW1tAgICiIqK4vz58+zdu5fy8nLc3d0JCwvDxMQEHR0d7Ozs8Pb2xtbWltLSUnbt2sW5c+ewtLRUC7jcDPT29vLVV18hk8mYN28emZmZ7N+/n5dffllt/xIC0xMmTMDa2pqqqioyMjLw8vICYO3atZw7d44333yT+fPn4+zsTFJSEm5ublfVdh1JGHUUjeKux+7du0lOTubJJ58Uy77v37+fo0ePolKpmD59Oo888ogY4YCLYo7r169HQ0ODP//5z8DIp5m3t7ezdu1aNDU1eeKJJ656SU1OTiY+Pp7HH38cT09P4JfI4P79+9m2bRuurq6cOHGCrKwsTp48iaWl5XWr+jQ3N/Of//yH4OBgHn30USIjI1GpVCQnJ9Pa2kpUVNRlaVND6eMSiQRvb2+mTp0q0scPHz5Mc3Mzcrn8qulxwxFCu9LS0vjqq68IDg5m5cqVLFmyhKlTpzJx4kRcXV3R19enoaGB1tZW7OzsxOpCQ41Y4XANCAjAzMyMgoICUlNTqa2txcvL666sCnctCH0jXPCDgoJ45ZVXsLKyQltbGz09Pezt7QkPD+fYsWMkJibi6+t7mRaOYOy0tLTwn//8h6CgIObNm0dvby9paWmcO3eOyMhIUlJSKC4upqOjA319fVH/QdAvkkgkeHl5MX36dHHeChU1dHV1R9S8hYtC/l9++SWzZs1SqwIlrN3XXnsNT09PZs+ejaGhIZ2dnSQkJFBQUMBbb70lCma2tLTQ2tpKe3u7WHJ7uEDY786fP8/GjRtRqVS8+OKLAJw9e5Z169ZhY2PD4sWLAcjMzOTHH3/k8ccfx8PDg+rqatauXStqMqSkpFBVVYVSqcTY2HjYrMnrjeWbb76Jj48P999/P3K5nPb2dhITEykoKOCNN95AT0+PiooKtmzZwurVq0lNTeX06dPY2dmpnafDBTU1NWzbtg2VSsV9993Hu+++i5OTkxhAKisro6ioSNTJEODu7s6UKVPE6l/Z2dkUFRURFBR0WcR4uDsYroYbtQ8OHjxIfHw8jz76KB4eHmpsg7S0NN5++20yMzM5fvy4ml1wK9L1ysvLWb16NYsXLyYkJETtEin8nUOHDrFmzRoSEhIwNjYWq7JqamqKdsV7772HTCZj0aJFYhrdcB5DYY7t3r2blJQUmpubaWlpQSqV4ujoKOrwFRcX4+DgwIwZM6ivr0dPTw+ZTIa7uzv29vZkZmby3XffsWvXLo4cOSKmy9yqticlJbF9+3ZRSNnOzg57e/vLtCuFuWJhYcG0adOwtLQkJyeHnJwcTpw4gUQiwdraWtQMHXUY/YIdO3awY8cO5syZI1azg4uOGltbW9EJ09rayt69e6mvr8fc3FzUL7KysiIyMhIzMzOam5vJyckhISEBR0dHbGxsbugdWltbWbt2LatXr6aoqAhHR0fRiWtoaEh0dDTe3t40NDRQVlbG2bNnkUqlon6Rvr4+Tk5O+Pj4oK+vT3p6unhP8Pb2vmmaWZmZmfz0008sX74cTU1Nvv76a0JDQ7nnnnuorq4WU1rr6uoYHBzEwsICR0dHsRjJlClT+OSTT+jp6eHhhx/G19cXbW1ttLW12blzJxMnTsTW1nbEngkCRh1Fo7ir0djYyIcffsj48eOJjY1FS0uLpqYmtm7dir6+Pi+//DKRkZFqVYwEbZIdO3bw7LPPYmNjM+IXukqlEqPDK1aswNHR8Yrf6+rq4pNPPsHIyIjp06eLB41EIqGvr4+3336biIgIXnrpJcaOHcvZs2fFSk/Nzc24ubldNbf/p59+ori4mBUrVoiRdX9/f+RyOfHx8TQ1NeHv74+mpuZlfT3UYSSXywkLCyMkJITa2lrS09Npb28nJiZmRI2RUDWora2Nf/3rX+JBOjAwgJ6eHo6Ojnh6emJvb09zczO7d++mvr4ePz+/y/pYqHbi6uqKv78/fX19nDhxgunTp48IrYWbCWEObN68mTNnzvDII4+gUCjE9T3Uwaanp0daWhoWFhb4+fld8VnCvH366acxNzcnKyuLbdu28dRTT7F06VK8vb2pqqoiNTWVY8eO0d/fj6mpKXp6emoRdaHKS3h4OHV1daSnp9PW1sa4ceNGzLzt7u5m48aNNDc38+yzz4pRRuHCtWPHDjIyMnjqqafEqmZHjhxh3bp1zJkzh6ioKBoaGkhKSuL9999n7969ZGVloVQqxYj/neyLpqYmcawAUlJS2LVrF3/+85+xsbGhp6eH3bt3i5WEjh07hkKhYP369Tg5OfHAAw8wMDBAYmIimZmZfPDBB8yfPx8DAwPy8/NJTU2loaEBW1vbyzSMbjeEsWxqamLlypWXjeXPP/9Mamoq2traBAYGYmxsTHl5Od988w3z5s0jKiqKo0eP8q9//YvS0lLs7e3p6uqiqKgIIyMjxowZc0fbdyXs2rWLo0eP8swzz1BYWEh6ejoPPPAAenp6/P3vf2fHjh3k5OSQnp6OQqEQz0mVSsXp06fx9PQkNjaWmpoalEol06dPFx0q9fX1dHZ2jkjdwhu1D7q7u3n//fcJCgoiLi4OmUymVhnvjTfewN7eXgxYZGdn09raioODg8gCuVlQKpV88skn6Ovr8+CDD17V+WplZYWuri6nT59m//795Ofn4+DggIWFhcia++mnn9QYkMMZgi169uxZNm/ejLm5Of7+/qSnp5ObmyuWI7e2tsbPz4+QkBA2btzIjh07cHd3x8TEhLNnz/Lll1/yww8/0NnZiY6ODkePHqWqqgp/f381B8PNQkNDAx999BGRkZHMnTuXoqIi6urqiIiIuIytIpwDwpnt4uLCnDlzxJTH3Nxczp8/j66uLtbW1iPm/LzVOHPmDKtWrWLy5MmMHz9ebS4L80awLb29vTE0NCQrK4ukpCR6e3uxsrJCLpcjlUpxdnYmJCRELOIxYcIENcbe1aBUKklLS+P777/HwcGBqqoqSkpKMDMzE+9ScJGtOX78eDGzIC0tTSw1L+gXmZiY4Obmho+PD62trRw9epTY2NibYtO2tbWxatUqPD09mT59Ort37+bo0aO89tprJCcns2rVKsrKyjhz5oxYydbDwwMTExOkUinu7u5s27aNrKwsFi1aREREhPjsyspKjhw5QmBgIPb29iN+fo46ikZxV2PDhg3U1NSwfPlytU0uISGB6Ohopk6dCvySgw9QV1fHmjVrcHNz44EHHhB/PpLR0NDAl19+iYeHh9imK2Hr1q2kp6fT0dFBdXU1+vr6GBgYoKOjw8aNGykvL+fBBx/Ezs4Oc3NzJk+ejJWVFRUVFVRXV+Pl5XXFktCnTp1i1apVxMXFERMTI4o0a2hoYGVlRW1tLTk5Ofj7+1+zytFQAWszMzMmT56MQqHAz8/vhqMdwwUdHR2sW7eOuXPn4u/vLxpFQ8W9tbW1sbOzw9HRkcbGRjIzMzE2NhYpr5dCKpViamrKmDFjmDhx4h0Vq7xTGBwc5MKFC+zevRtNTU2WLVsGXC62q6GhgUKhIDExkYGBAaKjoy+Lol86bwVBZn19fVasWAGAtbU1EydOxMzMjPz8fNLT06mrq0Mmk4nR2aHz1tTUlEmTJmFnZzfi5m1RURHr169n2bJloiNAuCh2d3fz1ltviSyq8PBw+vr62LBhA83Nzbz55pvARc2bPXv24ODggI+PD+Xl5VRXVxMZGXlHL9kXLlxg3bp1HDhwAG1tbXp7e9mwYQPOzs4sWbKEwcFBqqur+eyzz5gwYQL29vbk5uayZ88eenp6WLFiBVZWVpSWlvLtt9+KzEClUomXlxfjxo1jYGCAiooKpk2bdsdZRYIDb8WKFXh4eIiCxVKplK6uLt544w0sLCxobGxk586dnD9/niNHjtDa2sobb7xBTU0N77zzDtra2jz22GM8+uijzJw5k8LCQg4fPsyMGTNuerWk34MjR44QHx+Pj48PsbGxvP7660yePBkzMzO++uoruru7eeSRR5g+fTr5+fmcO3dOTEPq7u7mv//9LwkJCTzwwANMnjyZ0NBQcQybmprYsGEDycnJTJky5Q639NejoaGBzz//HE9Pz2vaBzt37iQjI0NkvMpkMnFfXb9+PRUVFbz44ossXLgQKysrTpw4QW5uLpmZmejp6eHs7HzTbKn09HS2b98usviu9ly5XI6vr69Y4fbo0aMkJiZy9uxZAgICeO+993B1dSUuLg4DA4NhHxQU3m3Lli2cPHmSe++9l/vuu4/o6Gjq6urIysoSCyjY2NigUqlETaK4uDgGBwd54403qK6uZtGiRfzlL39hzpw5eHh4kJCQgKamJsHBwTedpbN582aOHTvGypUrCQwMxM7Ojh07dlBfX09oaOgVK5pJJBIaGhrQ1NQUdQMnTpzIuXPnxAIn586dw9bWdlgyGG8nlEol69evp76+nieffPIy2+/SfjU2Nsbd3R0vLy9UKhX79u0jOzsbbW1tzM3NkclkyOVyxowZQ2Rk5A0LM9fX1/PFF18wduxY3nzzTUxMTEhJSeHkyZP4+fmppV8LDpcJEybQ399PUlIShYWF9Pb2oqurKzqMrKys8Pb2ZvLkyTctwCJoe61cuZKmpibWrl3LI488Qn9/P9999x2+vr789a9/5cEHH8TT05PExESam5sJDw9HKpXS2dnJP/7xD2bMmMGUKVPQ0tIS18yRI0fIzs7mscceuysCtaOOolHctaiqquK///0vCxcuJCwsTDyIGhoa2LZtG+Hh4aLIm4De3l52795NVlYWr7zyCsbGxsPecLgeBgcH2bt3LykpKbz44otX3WjPnj3Lhx9+yKRJk4iIiKC0tJR9+/bR2tqKSqVizZo1zJo1iwkTJqClpSVeCJ2dnYmNjcXW1pbAwMDLLuQDAwN8/fXXXLhwgccff1w80IU+FQy51NRUKioqmDBhwjW1W4ZevDU0NHByclLTlhopqK6uZvfu3YwdOxZvb+8r0uaFNpqamhIWFkZxcTFZWVmEh4erCYBfCplMdsurRQxXaGhooKWlxQ8//CBW3bgShFLXycnJyGQypk2bpvbz/v5+vv76a3p6enj88cfR1tbm4MGD7N+/X9R8ECCVSnFzc2PChAnIZDKSkpLo6OggKChI1IkS5q1gTDg6Oo6oedva2sqaNWswNTVl+fLlgLr46SeffEJtbS1ubm7k5uby888/U1dXR1paGitXrsTBwYGPP/6YvLw87rvvPp577jmioqJwdnZmz549mJmZ4e3tfcfaJwh5JiUlkZeXR2lpKTU1Nbz99tvo6urS2dnJt99+y8DAAG+++SahoaHI5XIKCwu55557mDx5Mm1tbWzZsoW6ujr+/ve/q11+BFHMmJiYG4rM3mps2bKFU6dOERsbK0blBe2oTz/9lPb2dp555hlCQkLo7OwkMzOTM2fOiFVB//Of/9DS0sJzzz1HaGgocHEdlJSU0NTUJEZ+h8PZ2d/fT2JiItXV1Tz//PNs3ryZ5uZmoqOjycvL48SJE7z//vv4+PhgY2NDY2MjFRUVzJ49G01NTU6ePMmmTZtYvnw59vb2KJVKNf237OxsNm3axKJFi3BxcbmDLf31EBhwubm5/PnPf76ufSA4WwSRdgsLC86fP88HH3zArFmzCAsLQ1tbG2dnZ6ZMmYKGhgYVFRVIpVI1O+z3QHBkBgcHi8ymS9HS0qI2RqampoSGhuLg4MCFCxfIyspiy5YtACxZskQMvgyH+Xo1CPZASUkJu3btwt3dnbi4OFFjZuLEibi4uHD06FFycnLE0t55eXksWbIEW1tbvv76awoKCli+fDnTpk1DS0uL/v5+7OzsyMjIoK+vTxQevlkQbPH58+eLc0BIbcrIyMDf31+NGdTV1UVNTQ1JSUl8++23uLq6igUQDA0NGTduHN7e3hw9epS8vDzGjRundh5it2ZJAAAgAElEQVT/L6KsrIyvv/6aBx98kODg4GuOn2CDCEE1FxcX/P39OXv2LLt27eLYsWOYmJhgYmLyqwr39PX1ER8fT0FBAc8//zxGRkYiIyglJYX09HSRsTbUESmXywkODiY0NJS6ujr27dvHsWPHUKlUYjVfXV3dmxpccXJyEoXtv//+e3p7e3nyySf57LPPsLe3Z8mSJaL+oJ2dHRcuXCAjI4Np06aho6PDunXr6OrqYuHChaJ8gNCeTz/9FF9fXyZOnHhXpEWOPCXNUYziBjA4OMiXX36Jvb09EyZMUNO+aW5uZnBwUPT0DnUEHT9+nP379xMXF4ejoyMqlUpNs2EkQkNDg7CwMIyMjMT8/Cth/fr1mJubc//992NmZoafnx8pKSmkpaVx4MABnJ2dGT9+vKjJIAg+CqkakZGRV3zu4cOHycjI4Omnn75iGV2VSoWpqSmxsbF8//33HDlyhNDQ0Os66Eb65qtQKDA0NKSsrAy4aLAL2gIChP8Xqi9MmzaNTz/9lMrKyrum9ObNxlAHYklJCWfOnMHGxkZkvsAvLJiWlhbOnz8vMrqGrvOTJ0+SmZnJgw8+iLm5OeXl5ezatYuoqKgrMrqUSiUmJibMnTuXw4cPc+7cuSvO0eGe2nA1NDc3U1xcTHh4OOfPn8fS0lJ0fh0/fpyUlBQeeeQRIiIiKCwsJD4+npSUFPz9/YmJiWH37t3s37+fpUuXMnPmTJFtYmVlJUbj7iSkUilLly4lOjqaNWvWcOTIEaRSKYcOHSI0NJSGhgaysrJ46aWXANDS0qKxsVHUKoCLrJXU1FSWL18uVoK69OwYDiw/wUkqpO/ExsYybtw4bG1tqampISUlhSVLluDr64tUKkVfX5+qqiqcnZ2JiIhgy5YtFBQU8NJLL+Hr6ys+t7+/n97eXgYGBoZVgEUQll+8eDFKpZL4+HiWLFlCV1cXJSUlLF68GFNTU5FVBRfHt6OjA21tbeLj47GxsSEqKgpAbUxPnz5NQkKCKJA80tDa2sqWLVuIjY29rn1gaGjI0qVLKS8v5+DBg+Tn5xMXF0dxcTGWlpaMHz9eZOUIdsHSpUuJjY0FuGl2VGtrK87OzsTFxV3x8nj69Gk2bNiAnZ0dEyZMUDsrw8LCGDt2LPHx8axZs4ZJkyaJDurhNGevBOHd9u7dS1tbGxMnTkRbW5vBwUH6+/uRyWSEh4cTHh7Otm3b+PHHHzlx4gR+fn6EhYVRVFREQkICixcvJiIiQtQDEvZiHR0dUST7ZgWa+vv72bx5M5aWlkydOlUMAsrlcpYtW8aRI0dYvXo1M2bMoKuri8rKSiorK2ltbRUrufX09ACoMdEDAwP55JNPKCgouCrD+n8FFy5cYNOmTbi5uTF+/PjrzmHBBikvL+e9995j5cqVREVF4eLiQn5+PgkJCbzzzjuEhISwcuXKG67cVV1dTUJCAvPmzcPe3p7BwUEGBwfx9vZm4cKFfPHFFyQlJfHoo49e0Q5ycXHhb3/7G1lZWWzYsIHVq1cTFBTEtGnTCA8Pv2m2k3Auu7q6kpycTE5ODi+88AJNTU00Nzczbtw4kektrA2hOIxSqaS+vp7CwkIiIyPF7w0MDKCpqUlWVhY1NTU8/fTTwMi194Zi1FE0irsSFy5cQC6XM2vWLExNTYFfNocLFy6Imxcg0u3b2tpIT0+nsbGRY8eOUVJSIqZXCMbjSFz0g4OD2NnZXdOxUFRURFpaGk8++aRYitLb2xsPDw+MjY3ZvHkz06ZNu0zBX0ND45rG3+DgIKmpqbi6uhIeHn7F7wh9Ghsby5YtW8jMzCQ0NHRYG2y/F0KkxNXVlYKCAsrLy0Vj50rGqtDHY8eORV9fn7KyMiZPnnzb33skQOi7kJAQsrOzSUhI4LHHHlMTARfm3A8//ICWlhYeHh5iHwvfKS4uRqlUcuzYMQ4fPkxmZiYtLS08+eSTV/y7wu8LufazZ88WI2cjcd+4FJqamlhaWoq6I1OnTiU6Oho9PT0+//xzXF1dCQwMxNramhkzZlBbW0ttbS1PPPEENTU1bN68meDgYO6//3615zY0NIhO0jsJYY93dnbmrbfeIisrizVr1vDNN9+wd+9eWltbCQoKEp0FJSUlJCYm8vDDD6NQKKivr2fXrl3Y2toyc+ZM4OZdjG82pFIpzzzzDAEBAaxdu5bvv/+e/Px8YmNjSUhIwNXVlYiICKRSKT09PRw/fpyOjg4ee+wx6urq2LlzJ+Hh4URHR6s9t7Ozk9OnT+Pt7X1LdE5+KzQ1NZkxYwZwUWzdycmJgIAAdu3ahUwmY9asWcDFs6i9vZ2qqioxvbquro7U1FSeeeYZ8XnCHtHf3092djaVlZW89957d6Rtvxfm5ua8+uqrYuGKK0GwD1asWMH48eMJDg7Gz8+P1NRUNmzYgJaWFo888ohoHwh2gbCmrpVO/lugUCj461//ek1nxtmzZ8nIyKCgoIApU6YQFRUlOmmlUim1tbWYm5sTHh4uztXhbHMI50hqaiolJSW0tLTw3nvv8fDDDzNt2jRkMhkqlYr+/n60tbWZP38+VlZW/POf/+Thhx8GYNu2bTg4ODBnzhyRhSWcTW1tbfT19WFsbHxT2ciC+Pvzzz+vxqRUqVSiFubGjRv54osvkEgkKBQKQkJC8Pf3JyQkRM0ROLRapmDPBwUF3bR3HWkQ9qGjR49SXFzM888/L1byu5bdIfzs2LFj9PT0iHcha2trpk2bhre3N/v376empuaGnURdXV1s374duVzOPffcA/zCopZIJMyaNYvTp0/z888/M2bMGCIiIq7qmI2IiCAoKIjExETWrl2Lo6PjVQPRvwXCuVxfX89PP/2Eq6srMTExlJeX09DQgJOTE3CRISWTyejq6qKhoQGpVIpcLqe0tBSVSoW7u7voqBUcoF999ZUYdLlbMOooGsVdCV1dXV5//XW1jUjYHMrKyjA0NESpVF72+d69e3FycuLkyZO89tprjBs3jkWLFom6O1eKEA93XM/4USqVfPvtt/j6+hIaGqpWDUQqlZKRkYGPjw9BQUG/WnNCQ0ODJUuWoKWldc0c8sHBQczMzAgLCyM/P5/6+vorah3dLRC0iB566CHeeust3n33XZYvX05kZORlaWfwy8EusACEvhzuEdA7iSlTplBaWsrOnTupq6vj/vvvx8fHB7ioKZKcnExiYiITJ04UU2fgFx2sWbNm0dTURFJSEiUlJXR1dREbG3uZ4Sqkk0kkEmpqakhPT8fExIS4uDjxeXcDHBwcWL16NRs3bmTz5s1UVFRw+PBhjI2NRe0J4aJYWlpKVlYWkyZNwtbWllWrVtHc3Mz7778PqKes1dbWIpFI1MQg7wQuvYBEREQQERHB5s2b2bZtG7q6uvzxj38ELqYob9q0CScnJ6ZMmYJSqSQ7O5uysjLefvtttecMRwjvNn78eMaNG8f333/Pjz/+SGVlJfr6+ixbtgx7e3sATpw4wY4dO5gwYQKOjo589913tLW18dhjj4nPgovn6PHjx6mtrb2mzs2dQH9/P1paWqSlpVFSUsKKFStwdnYmLy+P2bNni99TqVSUlZVRVlbG9OnT6evrY82aNTg6OhIQECB+T1jTVVVVot7htRwtwx3XumwPtQ/Gjh0LgL6+PpGRkXh4eHD06FG8vLwIDAy8zD64VQ5yiURyTWeGnZ0dH3zwAdu3b2fz5s18/vnnFBQUMHHiRKKiojhz5gz79u1jyZIluLu7A8P/LJVIJHR0dLB3715MTEwYN24c+fn5rFq1il27drF8+XJ8fHzQ1tZmYGCA7u5uEhMTGTNmDO7u7pw8eZKCggKeeuoptcu/0O7Gxkaqq6svc+T/HvT29vLDDz8QGBiodsYK7QEYP348O3fuxNbWljfeeOMyTZeh++jQ8Rmue+vthNAf+fn5DA4OUlJSgrW1Nc7OzqIj8NJ5PdTZJlTmGrqWtLS0cHFx+dVp8Y2NjZSXl7N06dLLbH3BPpoyZQopKSkcPHjwmo4iuFil7Z577mHSpEm3TM9PyGb4wx/+AFzsT7lcTkVFBb6+vmIflpaWkpaWxsSJE5HL5WLhgsDAQPH3AL799lv6+vqYN2/eDafrjQSMOopGcVdC2IAu3YSUSiWtra1oa2vj6uoqft7Q0MDOnTtxdHTkgw8+IDMzk507d3Lw4EEOHz7MrFmzuPfee4eVOOevxdU25X379lFdXc1f//pXMeIjXOR27drF6dOneeGFF36znsqN/J7A6goNDSU9PZ3a2lqsra2HvfH2ezA4OIiTkxMLFixg9erVfPHFF5w5c4aYmBisrKzU9GwEJCcno6GhMSJK+N5uCMaIMGekUikLFiygr69PjCy7uLigoaFBQ0MDbW1tTJ48mXnz5qGrq0tDQwO1tbV4eXmhq6uLXC7n4Ycfxt3dnTVr1jAwMMCxY8c4cOAAgYGBWFhYiP0vGF6pqanU1dXx2GOPoaWlNaydBb8WQluWLFnC9OnT+frrr0lPTwdg8uTJ+Pn5iYyMlJQUWlpaePzxx6mpqSEtLY25c+diZmZ2WZ/s37+fgIAAkfl5p3FpeuLChQuZOXMmLS0tovMkMzOT4uJiXn31VfT19Tl+/Di7du0iLCwMX1/fYZ+ufGkbhTHdtGkTHh4eYlqKMJZtbW08/vjj9Pf3k5aWxvjx47G0tBT3bQE//PAD7u7uV6wgeCchnNv//e9/CQsLw9/fn+bmZkDdmVFRUcG6deuQyWTs37+fkpISzp07x5NPPilq9wj7TGdnpzjPn3jiidvfqNuEK9kHQppFXl4enZ2dYhnoW4lfYwsI8/K+++5j8uTJrF+/nqSkJIqLi6moqCAvLw8XFxciIyNFx8RIOEvz8/NpbW1l+vTpzJkzh3HjxnHw4EEOHjzIq6++SlRUFH/6058wMTGhuLiY4uJi3n33XeBiupq5ufllDk2hX7du3Yq1tfVNTePq7e3Fzs6OuLi4qzJTrK2tiYqKYv/+/XR3d1/mKBrO++hwwQMPPEB3dzf79u2juLiYqVOnEhYWplZxa2hQSyqVsnPnTrq7uwkPD7+iJuivdXRYW1vz5JNPXuYQhF/2WFdXV6ZNm8bWrVtvKBg8ODh4S1O1bWxsePnll8W56enpydixY/nuu+/o7e0lJCSEwsJCUlNTMTIy4pFHHgEQmVbCPamvr4/8/Hy2b9/O008/PeJ06q6HUTHrUdyVuNqhL5FIWLNmDb6+viKVcWBggNTUVBITE3n22WextrbG3t6emJgYDAwMqKmpISMjg5ycHFGkcaShoaHhil75jo4O3n//fSIjI9Xoy0KK3ttvv01UVJQo4HarHDfCQSKVStm9ezd2dnb4+vqOCOPtt0Kg5Hp4eODh4UFRURGZmZmcPXuWnp4eDA0N0dfXFx2eR44cYcOGDZiamrJs2TKR8no399GvhYaGBt98842oYWFoaEh0dLTorOzp6aGtrQ1XV1dmzpzJH/7wB/ECKJQLbm1tRS6XY2lpiaamJlVVVRw6dIjp06dz/vx59u/fz9mzZ5HL5RgaGoqGbVFREfHx8Tg4OLB06VJgZKaqXg2CE06lUqGnp0d0dLToMLvnnntE52VhYSHr16/n/vvvJzg4mMTERMrKyli5cqU4n4XLdkpKCrt372bp0qV31Li60joa2l4dHR3RYG1paeHjjz/G19eX+++/n97eXlHA86233kJXV3fEpBteOqZhYWG4urqKc1oYywULFjB27Fhyc3PZvXs3S5YsESv6Cc7sQ4cOER8fz+LFi8WU7eECpVJJV1eXWObZzc0NmUxGbm4uR48excPDg8OHD4uipv/85z9xdXVl3759hIeHExsbi6GhoVo0XqgAeO+99xISEnKHW/j7cSXR1WvZB93d3fz973+/LfaB8H4SiYT09HT6+/uv6VgeysTV1dUlPDycwMBAzp49S3JyMiqVivvvv5+goKARdX6qVCrMzc3FogkmJiYEBwfj7OzMwMAAGRkZ7NixgwsXLrBnzx78/f2Ji4tjYGCAgwcP0tPTw7x589DS0lILppaXl7NmzRrmz5/P2LFjb1qfaGtrExUVdVXxfmHO9fb2kpqaipubG46Ojjflb/+vYHBwEB0dHfz8/HBzc+PEiRMcOHCAU6dOIZFIMDQ0RFdXV2SjC7b9Rx99hJ+fH1OnTkUul//utaupqXlDzmIDAwP27NmDpaXldZ2St2NtCkEEof0KhYLGxkYOHjzI3r17OXr0KEFBQTz00EPiPG5sbCQlJQV7e3t0dXXZunUr27dvJywsjCVLltzyd77dGGUUjeJ/CkIO6lBRZSFvNioqisDAQFHAWltbm3nz5hEREUF8fDwJCQns3bt3xGnDpKSksHbtWl577TWcnZ3VIvqbN29mcHCQmTNnio4kwUu+YcMGJBIJU6dOFS9Jt3rjtrGxQS6X09jYeEv/zp3CpRdIoa/Hjh3L66+/Tnx8PElJSeTm5mJlZYWrqyvGxsacPXuW0tJSrKysWLRoEQYGBiPmMnq7oKGhQVNTE9u3b8fDw4PAwEDRCTRhwgSio6Pp6+tDS0tLjRko9OOCBQvo6upiz549FBYWMm3aNGxtbUlISMDLy4unnnqKc+fOkZSUxJ49ezh69CgTJkwgNjYWc3NzMjMz6ejoEEUM7wY20aXG41DtEQ0NDby9vdUqlZ0/f549e/ZgaGjI4sWLgYv7j5+fHwYGBmrPAFi7di3+/v4EBwffxlZdRHt7O2fOnMHNzU2MqF6tvUOxZ88empubeeGFF5BKpZSWlpKUlMT8+fOvyJga7hDaKLy30AcNDQ3s3bsXQ0NDMZWsuLgYXV1dtfNTIpHQ1tbGV199RUBAADExMXeqKZdBWNsSiQQDAwOee+45MVVOS0uLGTNm8PXXX/Pyyy8DEBMTw5w5c7CxseHYsWOYmZkRHh4uRr4FJ0lDQwN79uxBT09vxF4MhPE+deoUFhYWV2R8bNmyhYGBATX7QMCGDRvQ0NC4bfaBVCqlq6uL9957j7CwMF566SVRBP9q5+BQR6i3tzdvvPEGixYtIiQkBD8/PzHNeKQ4i1xcXHB0dFTTf5JIJAQFBeHp6UlwcDAHDhxg+/btmJiYcN9994lVQLu7uwHEcRba3N7ezmeffYaXl5dYpe5mQWCeXQ3CuHl7e6Orq0t5eTnjxo0bcXvonYQwXvr6+kRFReHp6UlaWho7d+5k1apVREZGMmnSJJEpDbBp0yaUSiVRUVGijfRbx/3Xrh87OzssLS0pKChg7ty5w8aGFdrg7OzMihUrqK2tpa+vT6zKPBQBAQGYmZnx73//WwzYxsXFsXDhwjvx6rcco46iUdx1uF7e68KFC8WF39XVRUpKCg0NDbz55pvAL4eXcIm3srLi0UcfJTIyclgJdN4oOjs7aWlpYdu2bTz77LPiAdzc3Ex8fDzz588XozhCykRtbS07d+5k0aJFuLm5iT+7lQaVUqlEU1MThULBmTNnbtnfud1ITEzExsaGgIAAcW4N1Rxqbm5GS0sLhULBsmXLmDFjhliiu6KigtbWVoyNjQkNDWXx4sVi+stIMW5vJ8zMzHjuuef49NNPef/993nuuefEsrqamppiVbmhhqgwJvb29mLFjY0bN7Ju3Tp0dHTo6enho48+QkNDA2trax544AHCw8OJj49n3759FBUVoVAoqKqqIiYmBnd392GfenSjuJJeFqjvkUOj94WFheTn54sX75MnT9LW1kZQUNBlF83Vq1fT2dnJPffcc8OCmTcTH3/8MRUVFcTFxREeHo6Dg8NV2yvg1KlT7Nixg9mzZ+Pq6kp7ezt79uwBEAVjh4vhezVcerEW1sJQHRCVSkVBQQF5eXm88sor4u/JZDL6+/vVov719fWsWbMGgIULF94yPYnfAmEM165di4ODA1OnTlUb10mTJmFsbEx3dzf6+vpqOkTx8fH4+PiopdEJDrWCggJyc3N58cUXb19jbjKE8f7b3/5GREQETzzxhJrD8OTJk8THx7No0SJxvIWf1dbWkpiYyH333Xfb7IPBwUH09PSYO3cuO3fu5JtvvuGPf/zjdffZoe+0YcMGVCoVMTExovNvpJyjQqXCS88t+IU5NWXKFGxtbXn11VeZMWOGaCvAxQtwYWEhmZmZjB07FplMxsmTJ9myZQvnz5/nb3/7m+g0+K1obm6msrISR0dHFAqFWBkXrt3PxsbGuLi4iBVg74az81agq6sLHR2dywpvDIWZmRlz5swhKCiIPXv2iDbKpEmTiI2NFTMoAgMDxf3u167djIwMFAoFzs7O1z0zL4W2tjYBAQFkZ2eLc3q4rUFTU9PLGItD2+fg4MBLL71EQUEBAMHBwWJK590YwB1NPRvFXYEjR44gkUjQ09O75qZjYmKCp6enmIpSXl7ON998Q1xcHJGRkWqbgbCBCdFzCwsLMSo+kuDh4cHAwACJiYmcP38eb29vdHR0UKlU+Pr6Eh4eLorPCW2vrq5GqVQybdq026aHI5FI6O/v59ChQ3R3dxMbGzviN9yqqirefvttjhw5QkdHB6amphgaGop92dDQwMaNGzlz5gze3t5oampiZGREUFAQEyZMICYmhvnz5zNv3jwmTJiglq893A7X4YDBwUEsLS25cOGCmKIQEhIilgEW5tO15pWdnR2TJk3CyMiI1tZWZs+erVbdSSKRYGZmRnBwMC4uLtTW1lJcXIyVlRUrVqy45SkYtwPl5eVkZWVhYmJyzT116Oc1NTWsW7cOhUIh5vL39/eTmJgoit0CdHd3s3//fr7//nvuueeeO7bOZTIZNTU1JCcnU11dzeDgIMbGxiJN/0rYtm0bp0+fZvny5ejr69PR0cHhw4dZsGABDg4OKJXKYbdntba2UlBQwMDAACYmJqKjVCKR0NLSQlpaGp2dnWp6EdXV1axZswYHBweWLVsGXBzriooKioqKMDU1RaFQ0NzczJo1a8jOzuaJJ54YdtUqBZbhe++9R0tLC2FhYaL2hnCuKxQKHBwc1DTxtm7dSmVlJXFxcRgZGZGbm4uuri56enrU19fzzTffiAGkkQqVSkVfXx8FBQUcPnwYMzMzXFxcxPm7Y8cOGhsb1dJzhZ+98847AGrpGLd63IXnOzo6cubMGZKTk9HW1sbb2/uazKChVW3/8Y9/MGPGDCZNmoRMJhv2+3RPTw8nT57EwMAALS2tK+oWAmqfb9u2jcbGRh599FE1e0FTU5OUlBRqampobGwkPz+f7777jtraWp5++umbkj6ZmprK559/TlFRERKJBCsrK7S1ta/63gIkEglHjhyhtrb2MnHlUVxEa2sr77zzDhKJBCMjo2ueU8J3xowZg5+fHw0NDRw4cIDS0lIOHjyIVCpl3rx5ODs7/+o1UF5ezuuvv87JkydRKpXXPTOv1hZBHFqo0jYccel9cCjMzc3x8/PDz88Pc3Nz8fPhvJ/8Vow6ikYx4nHkyBH+3//7f5w7dw4dHR013ZArQfDGt7S08OOPP9La2sorr7wisg0uxUhe+MJGZ2trS01NDVlZWVhaWuLu7o5MJkOhUFxRtM7CwoLQ0FC1DfB2vKtQZa2np4fp06cPu0vXr4WpqSnOzs5iFaiKigqUSqVoQAnaWF5eXvj5+YnRNyH10cDAAF1dXaRS6Yjvi9sBDQ0NZDIZY8eOpaGhgX379gGIaQY3Ck1NTTw9PZk2bRpeXl5X/F1NTU3s7OwICQkhIiKCyMhIbGxs7oqI0ocffsju3bs5f/48UqkUU1PTq1ZRgYuipQkJCWRkZPDaa6+JF5Senh5SUlKor6/HyckJHR0dfvzxRzZv3kxoaCiPPPLIHbsU2NnZiSzRvLw8MjIyaGhoELU/LtUuUKlUtLe3ExsbK+op6erqMmbMGDGaOBzHvbi4mI8//pjMzExUKhVWVlYigys1NZVVq1YxduxYNVZpZWUlKSkpvPzyyxgbGzMwMIBEIkFXV5fs7GwKCwtJT09n8+bNNDQ0sHDhQubOnTssz0pdXV2sra3Zu3cvZWVl+Pn5iVpZQyGs25aWFr766itCQkKYOHEiP/30E99++y0dHR0MDg6Sk5NDZmYm//d//zciGcYCNDQ00NTUxNvbm5KSEvbt24elpSVOTk4MDg6iUCiYNGkS1tbWan3V19dHe3s7MTEx+Pj43PY5r6uri4eHB6WlpeTl5eHg4ICtre1V556wfj/++GMuXLjAkiVLsLGxAYa/bZecnMyaNWuorKzE0NBQLHIBl2tKaWhocObMGT755BMeeuihyyrZWVpaYm1tzbFjx8jIyODEiROMGTOGZcuWER4eflPe19XVlZ6eHrKyssjJyeHMmTPo6OigUCjU2NRD31twWtfX15Ofn8/MmTPvCMN0uOP48eMkJCSQnZ2tppEonMvwS9+2traiqamJTCbD0tKS4OBgHB0dqayspLGxkbi4OCZNmiSOya9ZB0ZGRujp6VFUVERaWhrnzp1DU1MTU1PTy87Mq+Hs2bNkZGQQFBQ0rMvIX69fhruj+WZh1FE0ihEPiUSCpqYm+fn5pKWl0dHRgb6+PgYGBtfMjy4qKmLjxo386U9/ws3N7a5c9EJ7dHV1iYiI4NixY+zatQsjIyO16OGlkEgkt53+K7xrT08PISEhKBSKu4KCbGdnx+zZs5HL5WRkZIgHfUtLCxkZGRgZGbFy5Urgl9KlV4oYjuLGIBhL9vb2HD9+nJSUFMzMzHB1db0hGvylz7ned3V0dDA3NxepynfDWAkirykpKeTn59PW1oZcLsfMzOyKaWdCCq+3tzdTp04VjX9dXV16e3tJT08nKyuLHTt2UFJSQlBQEC+88MIdLyGrra2Nl5cX4eHh9Pf3k5qaSnFxMR0dHWhra2NqaqpmTDs5OWFpaan2jDvdhuvB1tYWLS0t8vPzyc3N5fjx48jlcgYGBti6dSt6enosX75c/L7gbA0MDMTT01OtspmJiXMxG4sAACAASURBVAkODg50dnbS3t5OUFAQf/zjH5k0adKdat51MZRlmJGRQV9fnyjYe6WI8dq1a+nu7mbWrFnY2dlhbm6OlpYWqamppKWlUVpaSmxsLNOmTbuTzbppMDAwwMLCgqysLKqrqwkODhYLKRgYGFy2n0mlUry8vHB0dLwjjtHBwUEMDAxwdXUlKyuLQ4cO4ezsjI2NzWWMPuE8LSkp4ZtvvmHRokWEh4ePGLvCyMiI4uJicnNzKSgooK2tDTMzM4yMjMT5C+pnjoWFBVOnTr1iG21tbYmMjGTKlClMmzaNmTNn3rSLurCW/P39mTp1Kk1NTWRkZHD48GGampowNjbG1NT0slQlYbwaGxtJTU0lJCTkutWw/hdhZmZGaGgoMpmMzMxMMjMz6e7uxsDAAAMDA7VA91/+8hdxLUulUmQyGY6OjkyZMoVJkybh7++vJmj+ayCs/4iICFQqFYcOHSI/P5+Ojg7kcrnamXm15/f395OUlISvry+urq7XZJsNZ4zEd/4tGHUUjWLEQ09PDy8vL3x8fOjp6eHgwYMUFRWhUqkwNDRET0/vMoNGpVJRVlaGvr6+KNR5Ny96QV/C2NiYgoICysvL8fb2vq2MoRuFm5sbdnZ2I8aYux4E49XLy4uZM2fS0dHBoUOHKCgoEBkKPj4+ACNOXHM4Qug7AwMD3NzcKCgooKioCC8vL7WS9jf6nP9FyOVygoKCRGZWcnIyFRUVdHZ2YmBggLGxsVr/6OjoYG1tzdSpUy+LUjo5OWFhYYFKpcLe3p6HHnqIuXPn3vGo8dBLpYGBASEhIfj6+rJv3z5KS0s5duwYfX19GBoaqtHjR9L6FN7V09OTuXPn0tnZSUZGBpmZmVRUVHDs2DFeffVVzM3NGRgYAC6Om56eHlZWVuK/h8LGxobw8HCmT59OZGTkZY6z4YahLMPGxsZrsgxbWlpISEggLCyM6OhopFIpRkZG+Pr64uvri0QiwdjYmJUrV14zCDXSoFAocHR0FAspeHl5YWpqetUL3JWCGbcLwt8VHCbp6emcO3dOLa3w0u8mJSWhUqmYN2/e79bhuZ3Q1dVl0qRJuLq6ig6jiooKLly4gEKhQEdHR2Q7wkXHt5ub21VtJ6lUilwux8jICGNj45vq6BNsl6FVMQMCAqisrCQ7O5vi4mJ6e3uxsLC4Yjpzf38/eXl5zJ49e1inI90pCHuPl5cXvr6+tLe3c/DgQYqLixkcHERfXx9DQ0NSUlJISkpizpw5uLi4qDnCpVIpenp64t71e9awnp4ewcHBBAYGcv78eZKTkykrK6O3t1c8M6+mX6ShoYGLiwv+/v6/Om1tFLcfo46iUdwV0NTUxMLCgjFjxuDu7k5dXR379u3jxIkTaGlpiSUiBWhoaODq6kpAQMBv9qyPJAhtUygUuLu7k5qaSkFBAT4+PiPKcBqJEIwxpVKJjo4OYWFhhIWFcfbsWerq6jh//jxdXV2YmpqKEdxfw3wZxZUxODgoMiBSUlLIzs7G3d0dCwuLYaklMxxhampKVFQUbm5u7N69m4qKCk6cOIFKpcLExETtYnYp+0aATCbD1dWV8ePHExkZiZ2d3TVTg28XJBKJWAFL2P9zcnI4fvw4gYGBdHZ2kpycTG1tLRoaGhgbGyOXy0fUmhT2EqVSiUwmIyQkhJiYGGpraykvLwcuFmswNDRU0y+6HpNOEL8eKefmUJZhVVXVVVmGcrmc6OhoHB0d0dXVFX9PKpViaWlJaGgoMTExalUT7xaYm5ujUqnIzMykp6eHiIiIYb9HCk7ohIQEysrK8PHxESuCDp2Xbm5uREVFDXun5qUQzilbW1vmzJlDR0cH2dnZVFRUUFVVhUwmw8bGRq1Iw50cM4EhJOyrlpaWTJ8+HTMzM/Ly8sjJyaG6upqBgQEcHBxEh5ZSqcTc3JyQkBBsbGxGxJ5yp6BUKlEoFAQEBODs7MypU6dISkqipqaGwcFB1q9fT2BgIPfccw/a2tq3nK1jZmZGZGQkTk5OlJeXc+jQIWpqagBEG+HSAKhcLhf32FEMf4w6ikZxV0A4ILW1tbG1tcXf3x9ra2uOHj3KgQMHaGxsRFdX97KcXk1NzRtKL7kbIBjEAqsiNTWVc+fOERAQgFwuH7H0z5ECoVTv4OAgZmZmTJ48GXt7e/Lz88nOzqaqqorBwUE1AchR/HYI/WdtbY22tjbp6em0trYSERFxV170bgWE1I3jx4+TnZ3N+PHjKS8vJzMzk/Pnz9+wNoFgKN7pi6dSqSQnJ4effvoJe3t7MYVDQ0ND1KaxsrJi+fLlzJkzB5lMJmrSNDc3i+loI4lNcunlzdjYmMmTJ+Pm5kZFRQWZmZmUlJSgUqmwtrb+Vc6wkbJHXcoyLCwspLCwEE9PTzWWocC8FXSzLm3fcJjDtwqampr4+fmhVCpJSEigqakJX1/fYbtXCnuNhYUF7e3t5OTkiCmTl46blpbWiBRIFmwGDQ0Nenp6qKqqoqSkhIiICLKzs8nLy6OhoQFDQ0PMzc3v2Ny81HYUGGf9/f1IpVJcXV2ZM2cOAwMDpKSkcPjwYeLi4pBIJOJ/gBoLZRS/QLjfnD59mm3bttHZ2Ym7uzt2dnb4+/tjYWFBYWEhBw8e5MKFC0ydOhU3NzdRAP1WQyqV4uDgQExMDAYGBmRnZ5OZmUljYyMymUzNRhi9Z4w8jDqKRjGiIWygQw1hofqZs7Mz/v7+yGQyMjIyyMjIuGpO7/8ChAuRhoYG3t7eqFQq9u/fT3d3N6GhoXetATycIPS/cFg6ODgwb948NDQ0SEtLIycnRxQHvJZA5ygu4kYZDR4eHmhpaZGYmEhNTQ0+Pj7o6uqOGEbE7YbQLxoaGvT29vL2228TFhbG8uXLmThxIkqlkoMHD3L8+HGam5vR1dXFzMzsqlRzuLNOhaGMoQ0bNlBYWMihQ4ewtrYW19nGjRs5deoUs2bNws/PD01NTcaMGUNYWBg9PT2kpqZy6NAhbG1tcXJyumNtuVF0d3dTWlpKe3s7ZmZmYrGAoSyFuXPnipoXgn6Ro6MjpqamaiLeI2GN3MhaHsoyPHToEDk5OWosw19Tan2k4Xr9I4yzpaUl1dXVZGVlYW5ujru7+w39/s3G9ead8DNtbW3Cw8M5f/48iYmJKJVKvL2975rUdaGdRUVFrF27lnvvvZcnnniCkJAQqquryc7OpqioiLa2Nuzs7O4IS0NDQ4O+vj6RLdTT0yMW4RDS0bS0tAgMDCQ6OprQ0FB0dHRYu3YtlZWVYircKNRx+vRpGhoaMDMzo7+/n71797JlyxZmzZolCpvr6+vj6uqKn58fenp61NXVUVZWRn9/P3p6euJd51Zh6DoVqhBGRETQ29tLSkoKhYWFdHZ2oqend0P6RaMYfhh1FI1ixOLYsWPEx8dTWloqVvHS0NAQK7RIpVKMjY3x9PTEx8eHjo4ODhw4QElJibjBjsRy978Xwsbu4uJCU1MTBw4coK+vjzFjxoyodIKRgGsxLABxrvr6+jJ16lRaWlrEtMDY2NhhkaIznHEjdHthDBQKBWfPniU7OxsjIyN8fHxG5/lVMLRfN23aRGVlJY8//jhWVlbo6emJei/FxcWUl5dTXl5OX18fRkZGagK4w2Uv0dC4WAlm+/btnDp1ipkzZ1JWVkZ1dTXR0dF0dXXx9ddf4+HhwYIFC9TSkQ0NDRk7dixeXl7U19czY8YMDA0N73iax7XQ3d3Nzp07+fLLL2loaFBj0QksBaHKl4+PDzNmzKChoYGTJ08SEBCAQqFQ07YQmJDDYSyvhhuZc0NZhjo6OiLLMDw8XI1pfLdgcHCQrq4u0TYSPrvWmaSvr09ISAjl5eXs379f1C+6HWO/Y8cOuru71ebf9RxGwjq0tramrKyMrKwsHBwccHBwAIbPHvRbILx7U1MTP/30E01NTbz22mvAxZSfqVOnYm9vT05ODoWFhdjb2+Pk5KS2L93qfaqmpoZ169bx2Wef8fPPP5OSkkJFRQUDAwMoFApkMpm45yiVSkxMTFAoFDz33HOUlJRQVlZGaWkpg4OD2NnZDVsG2+1Gb28vmzdvZtWqVcyYMYPa2lo2btyIl5cXCxcuVNvDhcqkbm5ueHp60trayr59+ygrK0MikWBgYIC+vv6vfgdh/tXW1pKenq5WAKezs1NtXxmKoZp/dXV1pKSkUFlZSX9//7C1EUZxdYw6ikYxoiBsKs3NzXz33XckJSVRUlJCVlYWOjo6ahuZcEBqaWlhZWWFr68vLi4unDp1ir1791JbW0t0dPSISiO4GRA2ZZlMJqYf5OXlYWtri4ODw+im/TuRlpaGtrb2FUswwy8pgJem4+jq6hIVFYWfn5+YPjnUyKuvr6ezs/M3HfgjHUONic7OTqqrqyktLcXa2vq6huXQvPioqChOnjxJQkICcrkcDw+P0fk+BAUFBZw7dw4dHR10dXXp7u7mzTffZM6cOcTExIiRydraWhISEhgzZgxz586lsrKSQ4cOiXo+pqamotDqcDEEk5OTOXDgAHPmzGHp0qU4OTmRlJREZWUlCoUCuVzOuHHjsLOzEw1wAcJFdNKkSRgZGamxT0pLSzl8+DA2NjbD5pJTUlLCxo0bkclkVFVV0dbWRnBwsMgQEli4JSUldHR0oFAoiI6OZty4cTg4OFBZWSmmxArV7obDGF4JwrsaGxv/KmFUDw8PZDIZiYmJnDp1ijFjxtx1LMO8vDwSExNpa2u74TWpVCqRy+VYWVmRm5tLXl4ebm5uWFlZ3VJ2WVVVFe+++y6FhYW0trZeVt1r6JqsqKgQq9oKnxkbGxMQEEBRURGpqam4urpibW09osdSePfs7Gx+/PFHnnzySZydnVEqlaLt4ODgwPz587GysmLMmDHo6+vT3NxMfX39TResFiDMg+LiYj7++GOKi4sJDg4mLCwMa2trDh8+TGFhoagDJrRFeOdNmzZRXFzMq6++ipeXF9nZ2ZSUlBAaGjqqmfn/o6CggO3btxMTE8OECRPYvHkzRUVF/N///Z+aluX/x96Zh1VZbv3/A3tv5nmeJwEZZJDBAQcEnGdzSswytaxOnea3t7dOp2w4nTzVsU6aZmqmppYhoqjMKDMog8qkCDIoIIIyyrh/f/h7ntiCDSdLUD7X1UVs9t4+9/Pcw7rXvdZ39X6+KioqmJubM2LECOzs7Lhw4QIxMTFcunQJNTU1dHR0flMKptD/Pv30U1JTU/H09MTAwICzZ8+yZ88eZDIZlpaW/c4LQnRiQEAAlpaWnDlzhhMnTlBZWYmysjIGBgZDEguDhCFH0RCDCmFSiY+PJz4+nunTp+Pl5cW5c+c4ceIE+fn5mJqaYmJiIqajCZOpmpqamNOro6ODpaUlHh4egya0vj96OxJ+rh23/00QLBUqxmVnZxMTE4O5uTk2Njb3lbH8Z3Lq1Cn+8Y9/UF5ejpaWFmZmZn0MNSGlp6mpiR07dlBTU4ODg4N4z01NTRk+fDjwkybGtWvX2L17N8nJyUyaNOketOzeIvTFuLg4NmzYwIEDB0hJSSEtLY1hw4aJ1fuEe3j16lVyc3OxsLBQcBxLJBKMjIw4c+YM2dnZODg4YGFhcc/aNZCIj4/nww8/JCsri9raWrGk7siRI/Hx8VFwUO7evZu6ujrmzp3LxIkTGTduHBoaGqSmppKenk5dXR2qqqoYGhreU0d87xPRsLAw5HK5WLHK0NCQhoYGUlJSCAoKYvr06Xes9CXQO8pGOOnfsWMHx44dY/ny5X9au/pDaGtDQwM//vgjZWVlfPjhh5SXl5Odnc3YsWPFjePNmzf58ccf2bx5M52dnTg7O6OmpkZTUxM//vgjmzZtIiMjg3PnzhEVFSWmKwttH0isX7+eyMhI6uvrkclk6Ovr/6JmlvC6mZkZ1dXVZGRk3JdRhtXV1Xz//fekpKRQX1+PioqKwpjs7/4I86WpqSnm5uakpqZy8eLFPnPA3UaIiCgqKhIdB52dnaJulnBde/fu5fDhw4wYMQJdXV3x80KVWx0dHVJSUigsLGT48OE/W71tICNcc09PDw0NDUilUh5++GEA0dErl8vp6OhAKpVib29PWVkZGzZsYP/+/cTFxZGdnY2FhQVGRkZ31aYTvuf//u//AHjqqadYtmwZXl5e+Pv7ExAQQFFREcePHxedP8L629zczHvvvcfMmTOZOHEi7u7utLW1cf78eSZNmoSBgQEABw8exMLC4oGMqhbm8IqKCv7+979TUFDA9u3bxfW2srKSY8eOERMTQ3JyMtra2uLaBbcOxWxsbPDw8MDc3JzTp0+TkJDA9evXxUyKXzrUEPpfWloaR48eZebMmUyYMIHa2lrWr19Pfn4+1dXV+Pv7/2y6o9A3x48fj7q6OikpKWRkZHD9+nWkUilGRkb3TZro/cqQo2iIQYOw0F26dImwsDBkMhmvv/46np6euLm50dLSQm5uLgkJCdTW1mJnZ4e2traCIKCysjJaWlq4urri7u4OIJ5UXb16lfDwcFRUVAZk2fj+EIynyspKUlNTUVVVFU+8lZWVaWhoUKg6UFFRgVQqVfDkC/nhycnJXL58GX9/fzQ1Ne9lswYtFhYWtLa2kpycTElJCZqamnR2dqKlpUVlZSWtra1kZmZy6NAhtm3bxtmzZ7G0tMTPz6/fksPC801LS2Pfvn08/PDD2Nvb34um3XP279/P7t27MTQ05NFHH0VNTY28vDw0NTUZOXKkOI67u7tJSEjgs88+w9vbG2NjY+Cne2lsbIyrqysZGRlkZWXh6uqKoaHhvWzaPaeuro5PP/0UV1dXhg0bRkJCAnl5edy4cQNnZ2fMzMzE92ZmZhIVFcXIkSOZPXs2cEubYMSIEYwZM0asFpaXl0dLS4sYkXIvEMbT0aNHSU9PZ8WKFQwbNkysAubq6kpcXBxlZWUEBwf/6tN34XvT0tI4dOgQzz777D0fl8I1ZWRksG/fPh5//HH8/PzQ19cnLi4OmUyGjY0NCQkJfPnll5w8eRInJyemTZuGg4MDPT09rFu3joyMDCZNmsSKFSvw8/Pj0qVL5OfnExQUNCCr1IwYMQJAFMltbm5GQ0MDfX39O+ph3B5lWFZWRmRkJGpqagwfPnzQORXuhIWFBaNGjaKtrY2EhATOnDkjRqUaGBjcMf1D+N3Kygo1NTViYmIoKyvDxcUFbW3tPySdSS6XY2lpycyZM9HU1CQtLY3MzEzKysqQSCTY2trS2dnJJ598gp2dHQEBAQpVF4Xrt7GxEcuEX716lVGjRg2KtML29nY+/fRTenp6xFQ/wbliaGjIqFGjxA11eXk5ZWVlmJmZiU6/7du3s2PHDlpbW/Hy8kJTU5O8vDwaGhqYMGHCXXteggNh7969ZGVlsWbNGiZOnKjwdyFyJSkpCQsLC1xcXIBbz2jDhg3cvHmTZcuWYW5uTltbGx999BFBQUGMHj0aVVVVIiMj2bp1K6NGjRLX7weJ5ORkwsPDWbFiBW5ubnz55Ze0tLTw9ttvc+7cOT788EOys7Opr6+ntLSU6OhoNDQ0cHFxEaPvJBIJ2dnZtLe3M3v2bHp6ekhMTCQ7O5umpiZsbW0Vxs/tCOPp448/xtjYmIceeghdXV327dtHfn4+M2bMIDU1lRs3bjBmzBigb5pjbW2tuJdQU1NjxIgRjBo1iqamJhISEkhLS8PX11d0Dg4xMBlyFA0xaBAmriNHjpCVlcXKlSuxsbGhu7sbExMTxo8fj6WlJbW1tWRkZJCUlERPTw/Ozs59Fsnb0wqEsrDbt2/Hy8sLW1vbP7Vtv5W0tDR27dqFp6cnqqqqrFu3juPHj+Po6Cim3zU2NvLNN9/Q1taGvb09VVVVvPfeexQUFCgs7ADW1tZYW1tz/PhxsrOzcXd3VzitG+KXEYxrHx8fnJ2dycrKIjExkZMnTxIWFkZMTAwHDx4kPT2d2tpaRo4cyapVqxg/fvzPljGtrKzk22+/RV9fn6eeeuoetOze0tXVRVJSElu2bGHKlCk88cQTuLu7M3bsWIqLiykoKGDOnDnivSstLWX37t04ODiwePFihU2QoLViZGSEiooKiYmJYtrJg6hXJrBv3z6Ki4t55ZVXmDZtGh4eHpSVlXHixAkKCwvR09PDysoKuBUSX1VVxcKFCxUcQIKez5gxY3Bzc6OiooKEhAQ6OzsZO3bsn94mYTydO3eO8PBwLCwsWLlypXit3d3dqKmpceXKFbKyshg9evRvSnsQxqWent49H5dCH798+bKYEvDSSy8Bt0pU5+fnk5KSwtmzZ4mKikJXV5fHHnuMlStXYm1tTXd3N5999hkFBQU8/vjjhIaGito0ZmZmHD9+HEtLSzGNZCChpaXFyJEj8fLyorq6moSEBIqKikQxVyF9Cfo6RHpHGebl5d2XUYY6OjqMHj0aNzc3ysvL++iF9Jci3ft3W1tbmpubSU5ORiaTMXLkyD8knam3Ltrw4cOZNWuW+O9mZWVx7do1oqOjaWlp4dFHHxVtv97XIjxfR0dHOjs7iYmJobq6Gjc3t5/dFA8ELl26xL59+4iPj6eurg4PDw8xmkYqldLe3k51dTXx8fFs2rSJ48eP4+vri6GhIZGRkezevZtx48bx9ttvM3HiRIKCgujo6CA+Ph5nZ+e71qeVlG4VONi8eTM2NjbMnz9fIWWzt8Pu8OHDaGlpMXr0aJSVlTl//jxbt24lNDQUHx8fpFIpmzZtor6+nuXLl4tpTO+88w6BgYFMnTr1gYs2uXTpEvv370dVVZUXXniB2NhYDh06xAsvvCDO0yoqKrzxxhusXr0aJycnSkpKKCkpITAwEJlMhkQioaurizfffJNhw4aJkVuurq5UVlaSnp7O9OnT73ggLKydBw4c4PTp08yePRtfX1+Ki4vZsmULS5YsYenSpVy6dIn09HQ8PT0Vqu41NDQQFRXFtm3buHz5spj2DLcOpkePHo2TkxNSqZSgoKAHTv5jsDHkKBpiUCAsQrm5uRw6dAg7OzseeeQRAAXdBRsbG8aNG4eOjg5nzpwhNzf3V3msKyoq2LlzJxYWFqxaterPaNLv4o033kBLS4vp06dz+PBhoqOjAbC0tMTLywslJSUxd9zPzw8bGxuio6NJTU3lhRdeEKvg9NYrMDQ05ObNm6Snp9Pe3o6vr+8Dt0j/HnrfS1NTU4yNjTl79iyNjY34+/szduxYJk+ezJIlSwgNDSUwMBAzMzNRELC/E93Ozk7i4uKIj4/njTfeeCAjX4qLi9m8eTMuLi6sXr0aAwMDcYOQlpZGd3c3AQEBqKio0NbWxtGjR0lLS+Odd95BS0tLQdui9312dHRERUWFuLg4lJSU8PX1vZfNvGeUlJSwadMmFixYwNixY0VtgZCQEIyMjIiNjaW7uxtfX1+kUinOzs6MHj0aCwsLMjMz6ejo6ONgMTU1Zfz48ZiYmODl5aUQFv9noaSkJKZYlZaW8swzz2BkZKRQKRNuHRQkJCRgZ2eHk5PTz6ZoDNRxqaR0q4hDQkICUVFRvPLKK5iZmdHR0YFMJqOpqYlTp05hYWHBU089xcKFC3FzcxOroCUnJ7N3715WrVpFcHAwUqmUjo4OJBIJPT09REdH4+vrOyAdRXCr/UZGRowZMwYHBwcyMzPJzs7m8uXL9PT0oKenpxBZKzzf/qIMMzMzcXNzu+fP9G5jamrKhAkTMDMzE3V8Ll++jEQiQV9fv98UH7lcjlQqxc/Pj5qaGo4dO0ZHRwcuLi5/yOaud5qwqqqquG5eunSJlJQULl++jI2NDWPHjhUjxnpr/vUet3Z2dtTW1pKcnIyhoaGYzj1QMTAwYNiwYbS0tHDy5EmSkpI4f/48J06cICEhgR9//JF9+/aRnZ2No6Mjy5cvx8fHh+LiYj799FNCQkIIDQ1FV1eX9vZ2pFIpGhoaREVFMXr06LsqKdDQ0MCRI0cYPnw4kyZN6vd76+rqOHHihOgMAHj33XextLRk3rx56Ovrc+nSJTZu3MjSpUvx9fVFJpOxZcsWKisrWbt27X03Bn8NJSUlHDhwgOeeew5tbW2++OILTE1NWb16NRs3bqS5uZkXX3xRrEZobm6OgYEBkZGRTJs2TTzwOnr0KCUlJUydOhVLS0tRv8jT05NJkyb9rONQSUmJ5uZmvvrqKxwcHJg/fz6qqqps2bKF7u5unnjiCTQ0NNDU1CQuLg4tLS309PTIycnhwIEDbN26lYyMDGxsbJg7d26f1EclJSUx2nHISTTwGXpCQwwKlJSUaG1t5eTJk9y4cYMXXngB+OlEUHBodHd3o6Ghwfz58ykoKODSpUu/aPS3t7eTkpJCaWkpGzZs+NPa9N+yZ88empqamDdvHu3t7ezYsYPg4GBOnDiBRCJBSUmJgwcPkpyczJNPPsnYsWMpLS0lIiKCoKAgnJyc+mye4ZaY8urVq7l58ybx8fGMHTuWUaNG3cumDjp6b0DGjBlDV1cXGzZsQFlZmaVLlwJ3ToPo73tKSko4cuQI48ePFw2DB4n6+noiIiK4ceMG//znP8UoN4lEQmNjI62trWI6KdxyKkVFRTFr1izMzMz6lLwW+r3wc+7cuVy9epWurq5fVR77fqOzs5P9+/djYmLC5MmTFfTOlJWV0dPTw8jISEwlEE4adXV1uXbtGtu2bcPc3Jy33nqrz3erqKgwderUP7tJCtTV1XH+/HlGjBjB8OHDxRLxvbGxsUFbW5vs7Gxmzpz5sxupgTwuL1y4wOHDh/Hz88Pb2xu5XC6m3Hh6eqKtrY2vry++vr50d3eLn2tsbOT777/Hz8+PkJAQ0WEgfLahoUE8oR6ICH1VLpejqqqKp6cnnp6exMXFUVhYSG5uLuPGjWPSpEm4ubmJ7et9UCKXy3FycmLRokVs2rSJr776iueffx5LS8t73LrfjzCvCf1h8uTJ+Pr6cuTIESIiIigsLMTPz481a9YoRBEL90e4xuJZ3AAAIABJREFUv/PmzaO0tJTw8HCcnZ3vepRg7/lXIpHQ2dmJsrIydnZ2vP/++6SlpbFt2zYKCgr44osvCA4OZsKECeLGuLdNI5fL0dHR4dlnn6WpqYn8/HymT58+4FPQvLy8cHBwYNu2bcTFxVFTU4OlpSUSiQRdXV3GjRtHQEAANjY2otbYd999h7GxMYsXLxYlE4Q+3tbWhqqqKi0tLcDd0xcTvvPntK46OjpoamoS086ioqIoKyvjf/7nfzA3Nwfgiy++wMnJCT8/P9TV1bly5QqRkZGEhoaKVeseNHx9fdm8eTNmZmbs2bOHiooK/vWvf1FQUMD58+eZOnUqjo6OwE/3vaurCw0NDWpqajAzM6O5uVl0KArOfWF8/NpUvps3bzJlyhScnJzQ19cXtYVefvll9PT0APDx8WHixIkcPHiQuLg4mpqasLS0ZPLkyYwePVpMC4aBp203xK9nyFE0xKAhNzeXrKwsxowZw7Bhw8Q83P4oKysjLS2NRYsW3dFzLkxcFy5c4NixYwQHB2NnZ/dHXf5d4caNG3z//fcEBwfj4+PDxo0b0dHRwcPDg/Pnz9Pc3MyBAwfYvXs3S5YsYebMmdy8eZOjR4/S1tYmRkv1nrR7a7tIJBLmzJmDgYEBDg4O96qZgx5hAR8/fjwFBQUcPnyY4OBgfH19f3HBFD7b3NxMfHw8169f5+mnn/6TrnxgUVxcTGpqKitXrlQQxARoaWmhqKiIJUuWALfy4ePi4gB48sknFb5H0OUQ+rmwoZDJZISGhtLZ2fnAOYnglt5Qeno6L730knh6K9zjxsZGEhISkEqlzJ07V/yM0D+rqqqoqanhueeeAxQ3agMFKysrXnvtNdGw7W/NMDY2RldXl5s3b4oi//21YyCPy+7ubsrLy6mtreX9998HFNtqbGwsVkADFJylOTk5VFVV8fTTT/cbVVJTU0NHRwd+fn5/XoN+gf6igoTfz5w5Q3p6OsuWLWPWrFls27aN+Ph48vLyCAoKIiAggGHDhvURJgeYPn06ra2tfPPNNxw5cqTPPDIYEfpA73VHX1+fRx55hAkTJrBjxw6uXr2Krq4uFRUVKCsrY2lp2ef+2tvb8/rrr/PWW28RGxuLj4/P7xYa7j1ndHV10dHRQUtLCwYGBn3EdseMGcOYMWP4/vvv2bt3L5s3b+b06dNMnjyZUaNG9XFyy+VyNDQ0ePzxx0VNsoFOT08P2traPP/886iqqhIfH8/48eMJDQ3tc6+UlZUpKioiOzubV155pV8HQFNTE+3t7Xc9ElCoGJqRkcHDDz+Mnp6euK4Kztfo6GjkcrnoUNy5cyeBgYGiBlhycjJFRUW89NJLoo2+ceNG7OzsFA4tHiQEp7WZmRl5eXkcP35cTNMKCwujtbWVadOmAYqO1YaGBnp6ekTHTG5uLnV1dQQFBYnRvr/1fhoZGTF//nzgp8MEb29vUY9I6I8+Pj6cOHECb29vZs2ahZWV1QNZmfd+ZshRNMSgQaj+0NjYyLVr1/oNSxUmzs2bN2Ntbd1H8FBAMDQbGxuJi4ujpaWFtWvX/uFt+L1s2bIFXV1d5s+fT1VVFcePH2fZsmV4eHgQFhZGbGws1tbWjB07ltDQUADOnj1LXFwcy5YtEydw4bRHyCvuXWbTxsYGc3PzAVPqeTDS2yhfuHAhiYmJhIeH4+7ujoqKSp9F+/awXLhVdjs2NpalS5c+kAuvEEFoYGAgOiqEVBmJREJ8fDzKysr4+/sDt0qC5+bmKkQByOVyEhISOHToEC4uLixZskR0GgiGrY6Ozp/fuAFAd3c3cXFxuLu7KzgBhDk0OTmZ4uJipkyZgoWFhThHCKkeBw8exMHBQdRzG6iGfe+DgtudREJf0tPT49q1a0D/7eg9PgfiuJRIJHh6evLBBx9gYmKisIno7u5GS0sLIyMjGhsbARTm+yNHjjBixIg7Rs9ERkbi5eU1oARHBT2mEydOiBEWcMupFR8fj6amphjB+fTTTxMYGMj333/PgQMHyMnJISgoCH9/fwWRdmHjM2fOHGpra+nu7h5UUYa9+2h5eTn5+fkUFhZibW2NnZ0dDg4OfVJEbW1t+fvf/w7Ajh07OHz4MA4ODuL96V3Uo6enBxMTE1atWiWmhv1ehIIbYWFhnD17loaGBlRUVFBTU2P8+PH4+flhamqqIKK+ePFipkyZwvbt20WB7sDAQCZPnqygRyk4SgfTgVdvB25ISAiZmZlkZGQwf/58BTtW6JMRERHY2dnh5uam8D1CXzhx4gT29vZ3XWhfJpMxbdo0Pv30U/7973/z3HPPifZ4T08PR44cITw8nFmzZmFnZ8euXbvo6elh8uTJ4vu2bt1KQECAmAJ76tQp8vLyRGmEBxHBaX3jxg0SExMV9iVCiXshnV6IEhRSFQ0MDLh27Rrq6uqUlJTQ3d1NSEgIcOfqjz9H74jL6OhoLl68yEcffSTuC4Rx5u3tjZqaGrq6umL02H/7bw4xMBlyFA0xaLC3tyc4OJiTJ0+Sm5vL/PnzmTVrlmisC0ZdSkoK+fn5rF27VowQulO6z9mzZ4mPj2fFihWoqan96W36LVy4cIGkpCSWLl2KtbU1//d//4etrS0hISG0tbVRXl6ORCJhxIgRzJkzB7hlOEdGRmJgYMDChQuBWyKsu3bt4saNG4wdO5bAwEAx5FzYPA85ie4O3d3dGBgYMHbsWBITE6mpqcHW1lbsq4JRKIT4A2IFvuPHj6OjoyNueB40GhsbycjIEB2egoNCIpFw8+ZNDh48SGBgIObm5tTU1BAXF8f169e5fv06K1euZOHChdja2rJnzx7q6+spKSkhJSWFBQsWMG/evEGzAfyj6OnpISQkBAcHB3EjJvRLoYqinp6eOJf0rqZSUlLCmTNnCA0NHfDz5s8h9AGpVEpXVxctLS3o6OjQ0NBAfX09VlZWChUiB/K4NDMzEx0fvfu2YNDr6OhQXl5Oa2ur+LwrKytpaGjAxcWl37SjpKQkSkpKePXVVweUlkRVVRWff/45BQUF1NXV8eyzzwK3ijykp6fz2muvAbf6s0wmw8vLCycnJ1JTU/nxxx/ZunUrPT09zJs3T/zO26MMu7q6Bs0c0TuNPjw8nPDwcJqbm1FRUaGzsxNVVVUCAwNZvHgxxsbG4vuF8V5UVERYWBi+vr5cvHiRr776ivPnz7NixYo+EQljxowR16rfS2FhIVu3buX8+fPY2Njg6OhIU1MTV65cYdeuXURERDBp0iQx2ru7uxu5XI6enh4vvvgis2bN4quvvuL48ePk5OQQHBxMUFAQpqam4kZ6sG1Whfvs5OREaGgon332Gbm5uQqpfkpKStTW1lJcXExwcLDCYYdgU5SWlpKens6qVav+kHswfvx4SktLCQsLY/Xq1UyYMIGOjg7KysrEsumPP/449fX1/PDDDyxZskR0WO3du1eMjhEioTZv3oyfnx+jR4++69c62Lhy5QoxMTHMmzcPQ0NDuru7sbe3Jz4+nvLycjHduaWlhbCwMIqKigB4//338fT0JCEhgXnz5vXRaPwtCH1GeKbz5s3ro/Mll8vR19fHxsaGgoICOjo6xMi9wTbuhrgzA2flH2KIX0CoWuPh4UFcXBx79uwhMTGRhx9+mHHjxolG3ddff423tzcjR47s11gQfhfEGY2MjFiwYMG9atavpqOjg0WLFjF//nwyMzM5d+4czz77LMbGxiQkJAAwf/585s6di56eHl1dXeTm5nLq1Clef/114Nbm++DBg6SmpqKqqkp+fj6nTp1i2rRpQ8JyfwBCnwwMDCQmJobs7GxsbW3F148cOYKxsTH+/v7ia11dXZw+fZqsrCxxw/MgIYzP5ORklJWVxdPS3mN48+bNSCQSJkyYgEwmIzU1lby8PN58801qa2s5fPgwX3/9NTKZDKlUysaNG0lKSuLYsWNiKkpoaOgDrcElk8n66IwIfTApKYnKykoee+wx1NXV+0RWhIeHY2pqirOz84DdTP+aaBDBiFZXV1eILhO0UKZOncqoUaPEA4fs7OwBOS5/TVsNDAwoLS1FVVVVfL+6ujqtra2iM6C9vV10jN24cUMsUe3j4/NnNONX0d7eLlbu8vb2Jjo6GgMDA0JDQ0VB64CAAOAnrRuZTIaGhgYhISF4e3sTGxuLh4cHgILTpKenB6lUOmijDLdt20Z0dDQeHh4sWrQIbW1tWlpaiI+PJyoqira2Nl566SVxLhX6zKZNmxgxYgRPPvkkhoaGrF+/nri4OObPny/2jZs3b4pO4d8TPSjc7+rqavbu3UtFRQVvvPGGQvGMS5cuce7cOTIzM4mIiCAvL48nn3xSXAuEFFFnZ2fWr19PfHw833zzDd999x05OTlMmjSJSZMmDSondn9OrbFjx7Jjxw4SExPF9DrhPS0tLXR2dqKvr49UKhXHtPBstmzZgq2tLePHj/9DNu0SiYTHHnsMHx8fvv/+e/Lz82lpaWHYsGEsWLCA4OBglJWViYiIwNjYmNGjR6OlpUVTUxP79+9n/vz5YrRXWFgY9fX1/PWvf1WIHntQcXFx4c033xSjpSUSCR4eHqirq/Pll1+yePFiOjo6SExMJCsriyeeeAJdXV127drFoUOHMDQ0ZNGiRcB/57Dp7VxSVVVl8eLF/RakEPqss7MzUVFRtLe3D4oUzyF+G0O7wiEGBcKEpKurS3BwMC4uLqSmphIXF8fHH39MbGwsK1euJDU1lRs3brB69WpRMK+oqAgLCwvR+BPE306dOkVubi5/+9vf7mXTfjXDhw/H1dUVJSUlNm7ciL+/v2js1tXVoa6uLjqJ4Napa0REBF5eXuIp4Pnz54mLi+P5558nICCAr7/+mqioKM6ePSueOAr3bYi7h6OjIzo6OpSVlYmvXbp0ie3btyOTyZg4cSLBwcG4urpSV1dHZGQkrq6u4obnQUKIrrpy5QqampqYmJiIf5PL5WRkZBAXF8fSpUtxd3entLSUw4cPM3r0aNGw8vLyYuvWrWRnZ/P4449jYmLCQw89hL+/PxEREZw8eZLPPvuMzZs337FE7P1Kbw2P/ozIhoYGCgoK6OrqEu9nbw2zvLw8iouL8fT0xN3d/c++/DsitKuyshIrKyuF1Ks7OVEEY7impgZNTU2xWtDkyZO5du0au3fvJisri5kzZ6KtrT2gxmVRURFSqZRhw4aJ7evv9FgYT93d3XR2dtLc3CxGDwm6MJWVlcBPIrg1NTXs3LkTuJXqM5A2b2VlZRw5coSZM2cyefJk1q1bR3x8PHPnzmXcuHGi87enp4ecnBxOnDjBhAkTxKqGhoaGoq4Z/LSROnHiBDk5OaxevXpQOYqEZ56Xl8exY8eYMWOG6OAV/m5jY0NPTw+xsbHMmjULFxcXcVzExMSIIsOmpqYoKSlx/fp13N3dxf5QWVnJq6++ynvvvfe79W6E+11YWEh2djZr164Vn5lwTba2ttja2uLj40NKSgphYWG8+eabPP/88wQGBooOE+H9QUFBBAYGsmfPHg4cOEBBQQFmZmZ4e3v/rmv9I7l9Hr59LhYKs3h5eXHu3DkaGxsVUgdlMhmtra1i9LcwB3R2dooi5S+++OIfmsalpKQkrgNtbW20tbWhra0tOui6u7uZPHkyQUFBYgrwzp07UVdXx8fHBx0dHbq6utizZw9TpkxRSF16UBCcK8LzF/qFsPYK/cPBwYFHH32UH3/8kX/84x/ALZmIlStXMnv2bOBW1Ohbb73F8uXLgV93gCBQUlKCRCLBzs6uj97XnYTFhfeZmJjQ0dHBtWvXRHH5Ie4fhhxFQwxYLl++jLGxMTKZTJxEhYnPwsKChQsX4u7uTlJSEomJiWIltGnTpomibjk5Obz33nt4e3szZ84cnJyc0NDQoKqqiiNHjuDp6TmgRDp/DsGY2LNnjxi2K6QaZGVlYW5uLlamaW1tJSMjg4qKCv76178CtypIHTx4EBsbGzES4y9/+QszZ85k06ZNnDlzRhSvG+Lu0dXVhZqaGoaGhly+fFnBGP7oo4/YunUrUVFR5ObmMmHCBFpaWigrK+Pzzz+/15d+zxDKl7e0tChsUk+dOsWXX36Jl5cXU6dOpaenh5iYGOrq6li/fr34Pi0tLbq7u7GwsGDmzJnArbnD2tqaZ555hoCAANra2h4oJ5EQLSLoYAhzam8tAiUlJfT19bG3tycnJ4cXX3yRhx56iODgYGQymahXIJFImDhxIjBwRKyVlZVpamriX//6FzKZjEcffRQPDw9R1+pOItUNDQ1YW1sDPzlKvLy8sLGxITU1lfDwcDZs2ICuri4NDQ0DYlw2NDSIFXGCg4MJDg7GwsKiT7lw+EmPSEgL0NbWFp+1qakpvr6+xMXFYW5ujr+/P83NzXz33Xfk5+fz2muvDZiqbnBLlD4yMhKZTMaiRYvQ09Nj2bJl/Oc//yEhIYEZM2bQ1tZGVlYWkZGR5OXloaWlJfbVO0UXV1ZWEhERQXNz86ByEsFPm7U9e/ZgZWXFlClTFKIAlZWV0dbWZt68ecTGxpKVlYWLi4u4gdy+fTuTJk3CxcVFTDcsKiri5ZdfFjWKvvrqKwwMDMRDqN9D79QoTU1NUZy3d0VC4bmYmZkxe/Zs9PT02LhxI/v27cPNzU1MV7rdGfzII48wZcoUjh07NqCc2P0h9MPt27djb29PUFCQwlwqtM3d3Z2TJ09SX1+v4CgyNjbG1NSUI0eO4OjoiLOzM11dXfzwww9ixM7drkx3JyQSCVpaWn002yQSiYL2WXt7O9XV1bS2tnLq1CnMzc359ttv0dbWZtasWQ9cRHtraytffvklo0aNwt3dHX19/X4d/QLTp0/H0dGRGzdu0NbWhp+fn+iUa2trIy4uDgsLCwIDA4G+mnx3oqGhgV27dlFVVUVISAiBgYGYmZkp2Ar9HSoJ/VV4xsLaM8T9heTtt99++15fxBBD3M6ZM2d4+eWXaW9vx8TEBC0tLQVDX5i8jIyMcHNzw9bWFqlUirOzMyEhIQqLk1Qq5dSpU8THx9PW1oaamhonT54kMzOTt99+e9B4wAXx7XfffZepU6cSHByMiooK5eXlxMTEYGxszIwZM4Bbp80//PADjY2NVFVVoaWlJUZevPDCC1haWor5/gYGBkyZMkXcHA3lFt8dep8UKikpkZeXh729PW5ubkilUnp6ejA0NGTy5MlYWlqKaS0XLlxgxowZohDhg0pNTQ0ZGRk0NTWhoqJCWloaO3bsQCKR8Nprr2Fqakpubi47d+5k4cKFjBo1StTRiY6O5tixY7z44otYWFiIGwlBg8vMzEx0DjwofPTRR1y8eBE7OzvU1dXFE3lhTs3OzubGjRsYGRlhbm6OiYkJFRUVREdHk5eXh4ODA9nZ2Zw8eRI/Pz+mT58ODCwtgtbWVq5evcqZM2c4fvw4VVVVODk5ietH7/YKqKur4+DggLe3N5qamuJ7hNd9fX1RU1OjtraWGTNmMH78+HvUOsVr1tTUJD09ndOnT1NYWEhPTw/m5uZi6lhvA7+zs5Py8nLkcjkjR45ETU1NnJ8MDQ3Jzs4mIyODY8eOERcXh7q6OsuXL2fSpEkD5vnK5XJyc3PZs2cPK1asEKNpDQwMOH36NMXFxWRnZ4six0pKSkydOpW1a9eK2hr9OYk6OzuJi4sjISGBd955Z1AK6VZWVhIWFoa7uzszZsxQsJV6r0PR0dEYGRnh5+eHsrIy27dvp7S0lEcffVQUpX/rrbfw8/Nj6tSpaGlpkZmZyf79+1mzZg2urq6/+1qFZyA45iZPnqygA9b7PXK5HKlUir29PRYWFkRFRdHa2irO9b0rswlzv7a2Nt7e3gM2JVZASUmJa9eu8dFHH3Ht2jVGjRrVb+EVJSUloqKiGD9+vJj+I9yXpqYmUlNTKSoqIj09nX379nH69GkCAgJ45plnBtw9kEqlODk5ceXKFRITE0lMTKSwsJAlS5YwatSoATPX/FlcuHCBAwcOkJycTH19PRoaGmhpafWbviU4/A0NDbG0tMTW1laMJlNSUiI/P58dO3bw1FNPianSvxZ1dXVUVFRITU0lKytLrI5pYmLSZz3pjfB7QUEB6enpjBo16o5VpocYvAw5ioYYkLS3t9PW1sbJkydJSUlBKpVibGwsLqS9xX9lMhlWVlaMGDGCcePGKZQJ1dLSwsnJCScnJzo7O4mPjyc5OZkzZ84we/ZsJk2adC+a91+TmppKZ2cns2fPFifk2tpaDh48yIIFCxg2bBgNDQ0cPHiQoqIi5s2bR2FhIVFRUWRkZDBu3Dgxd1mI2hA2Rnp6eg/cQn23SUlJoaOjAwMDA4UQ++joaBYvXsyIESPECJnei6+trS3z5s1DU1MTW1tbVq5cOeCMvD8bY2Nj0QCJj48nJycHd3d31q5di729PdXV1URERHD58mVeffVVMXy7pKSEb7/9lmHDhhEaGqpQ4WkgRL7cCyoqKti9ezd5eXmcOXNGDDEX+ti5c+fYtm0bXV1deHt7o6WlxfDhw3FyckJTU5Nz584RHh5OdnY2FhYWrFixAm1t7X6Nx3uJuro6vr6+2NjY0N7eTkpKClFRUXR3d+Pq6qoQgdC7L2hpaYnRZb1fF3SLvLy8mDlzJh4eHgOmvZaWlixYsEDU8zp16hSVlZXIZDIsLS3FdnR3d4uHKGPGjEFLS0thk21sbMy0adPEuWfKlCmsWrXqrjgF7ib19fVs374dbW1tnnzySfFZqqurc+3aNdLT05HJZAQEBLB06VKWLVuGv7//HSOEhPafP3+eHTt24OvrKwq3DzY6Ozs5cOAAAQEBjBgxQmFcCj8bGhqIiYnBysqKMWPGcPXqVdavX8/8+fMZM2YMKioq7Nmzh/z8fB577DFRP+btt9/Gzc2NxYsX35UiF0Lfu3z5MllZWXh4eGBubt6vE1eIdJTL5ZiYmJCXl8elS5eYOnWqgl6P8N6fS6kdiGhoaGBmZkZUVBQFBQV4eHj0icqprq6moKAAY2PjPg5PDw8PDA0NuXDhAlVVVVhaWrJmzRpmzpw5IAuSyOVydHV18fb2xtLSksrKSnx9fVm4cOFdqaI32DAwMMDLy0usUHf27Fna29vR0tJCW1tbYTz05+QWXm9tbWXTpk2YmJjw2GOP/Vf939ramjlz5iCXy0lKSiIzM5Pq6mpUVFTEaFWg3zW/oaGBxMREFi1apFAUYYj7gyFH0RADEqHUopOTk1i5q7CwEF1dXfT19cV0tN6b7d55vr2RyWSYmZkxfPhw8dRMX1+fF154YdBtHC0tLfHw8FDYCMTGxnL+/HkeeeQRtLW1ycnJYc+ePTzxxBMsXLgQMzMzLl68SFdXF6+++mqfCKrBdg8GKqWlpfztb3/D1NRU1JJqamoiLCyMQ4cOsWzZsj6pTr1TKpWVlRk+fDheXl4PXAj27cjlctTV1Rk9ejQ2NjZYWVmxYMECHnroIczNzenp6SE9PZ1jx47R2toK3EobkkqlxMTEkJGRwTvvvPO7qn7cT+jq6jJ9+nS6urrIzs4mLS2NCxcuYGBggKmpKWFhYZSXlzNt2jSsrKzE/mhgYIC7uzv29vZIpVJsbGwICgrCzc1NwQE3UBDWAktLS0aMGEFFRQUVFRWcPXuWhIQEdHR0FDQYfi23G+YDAeEZjRgxggkTJnD69GnOnz/PqVOnuHr1Knp6ehgaGoptlUqlCifQAj09PaioqODq6oqPjw/Dhg0T0wwHSlu7urqIiYkhOjqa559/XiFiGG6t54mJiYwfP55Vq1ZhYWEhbjz7a4PQtubmZsLDw8nPz+eDDz4YtEKsra2txMfHo6Kiwrhx44C+aXb5+fnExMTwyCOPYGFhwfr165FKpSxZsgQTExMaGxv54IMPmDVrFuPGjUNVVZUDBw6QlZXFU0891eee/7cI19TV1UVSUhItLS1MnDixTwRU7/fL5XJUVFREh+C0adP6OFRu//7BgOAAa2trEw+ZfH19FexaHR0dgoKCcHR0VBiXws9hw4YxY8YMgoODxfl7IDqJ4Kdno6amhoODA9OmTcPHx2dQiY7fTYQ1dvjw4bS2tnL69GnOnTtHQUEBysrKosPodm7v47GxsRw9epRXXnlF4aD8tyAI+Xt6ehIcHExhYSF5eXmcPXuWa9euoaurq3AA2nucXrlyRazM9t/++0MMXIYcRUMMWNTV1bGwsMDFxQVra2vy8/OJjIyktrYWY2NjdHR0kEgkv2gYCBOauro6tra2jB49mgkTJgy6zbiQw6+pqSkaVZ2dnezcuVPcwDU2NrJz505kMpmoTdTe3k5ERARz5swRjcgh7i7d3d1s3boVgBUrVohGbHZ2Nt999x3Lly/H09Oz31NT+Cl0Xvj/Bx1hTKuqqmJvb4+Xl5eCASxEyCgpKTFmzBiOHj3KmTNnqK6uJioqipkzZxIYGPibxBzvZ7q7u1FTU8PHxwd/f3/q6urIysoiIyODM2fOUFxcjL+/P3PnzlXQuBHmHHNzczw8PBg/fryCsOVA25T1vh6hdHNgYCATJkyguLiY2NhY8vPzcXR0VDj57H1K2tbW1mejNdCcRKA4T1RUVBATE4O/v7+Yppmbm0tbWxsmJiY/q8XVn+Hf+/WBQFdXF4cPH8bMzExBiBpu9W19fX0xcmzChAmiE/NObRBez8nJYdeuXSxZsmRAVXb7rchkMi5cuEB6ejru7u6iKLVAbW0tGzduxMTEhNDQUAoKCti9ezcrVqzAy8sLiUTCv//9bzo6Oli2bBnm5ubcvHmTdevWMXXqVKZMmXLX1yVzc3M6OzuJjo6msrISW1tbdHR0xHkH+vbNkydP0tDQwMSJEwedllR/CAecvr6+1NXVER0dDaAQuSiVSlFVVe3j5L29b6upqQ1K22EwXvPdprGxkW+++UZcg0tKSoiNjaW+vh5lZWV0dXXvGHHV2trK9u3bGTlypKjH+N/S2ykbExOn+JUrAAAgAElEQVSDrq4uMpmM9PR0zp07R0dHB8bGxmhoaCj0PxMTEyZMmDDkJLpPGXIUDTHgSEpK4rPPPsPAwABLS0u0tbWxtrbG3d0dbW1tkpOTiYuLo6OjAxMTkz6T1u3cbmwoKysPys1jf208e/YsJ06cwNfXFx8fHxISEoiMjOTll1/GzMyM69evs2fPHq5fv85LL700aE9MBzqnT59m9+7drFy5Ejc3N5SVlampqWH//v20t7fzv//7v8BPguT98XN/e5ARxq2wme/o6CA2NpaEhATefvttpk+fzrBhw7hw4QIZGRloaWmxbt26Abm5v1cIYsZwK9x94sSJ2Nvbc/HiRQoLC2lra8PZ2RkfHx+xHwpOTeH+9y4qAAPzvgrXev36dfbv38+VK1f45z//iaurq3hqm5WVhYqKCiNHjhQ/J0Sdbdq0iaSkJHx8fAbsqbyA0NaGhgb27t1LTU0NH3/8MZMnT8bY2JisrCyysrIoKChAVVUVKyurn92UDcTnKSCRSHB1dWXixIn9PhclJSXOnDnDhQsXCA4O/tkqbcJ9u3r1Kvv27aOtrY033njjj7z8PxxBNDgjI4OoqCja2tqwtrbm+vXrZGRksGXLFmpqavjLX/6ChYUF7733Hg4ODsyaNQtdXV0KCwvZvn07y5cvx9vbG6lUyueff05jYyNr1669KyLWvektVl1ZWUlGRgaVlZVoaGhgYGAgRod3dXWJDj8h1VhHR4dp06bdN7aMsK5ZW1tTUlJCYmIihoaGDBs2TJRXGMhjc4jfR1dXF99//z3FxcW89tpruLq64ubmRlJSEhcuXCArK4sbN26I0UW3H3D39PSgpqbG3Llzf9ea1dteOnz4MImJifztb39j2bJl6Ovrk5WVRXp6OhcuXEBdXV0hq2HI2Xd/M+QoGmLAcfHiRU6dOkVkZCTFxcU4Ozujr6+Pvr4+Dg4OuLu7097eTlRUFFlZWaiqqmJsbPyLOc6DcbH9JQ2Q+vp60tPTWbVqFa2trWzcuBF3d3eWLFlCd3c3eXl57NmzhzVr1oj57UPcXVpbW9mwYQPW1tYsXrwYNTU1uru7SU5O5tChQzz//PMK6TwCd4ouetCoqqqiqqqqXyMI+p6gFhcXi6dvQllYc3NzOjo6OH36NE8//TQODg4PfDSRMHfk5+djbGwsVkDq6OhAIpFgZWXFjBkzUFdX5+LFi+Tl5ZGdnY2KiopCetZgSt0T+khmZiZ79+7liSeeEDdcwj1ISkpi6dKlWFhY0NPTQ09PDxKJhJqaGj799FM8PT3x9PQc8I4ioa3p6ekcOHBAbGt3dzeOjo7MmzePzs5OkpOTaW1txd3dvU+6zmCagzQ0NO7oJAJEzZspU6agra3d77op9OWenh5SUlIIDw/nr3/9630hbC/YSKWlpWRkZBAeHs7Ro0dJS0tDS0uLp556Cj8/PyIjI4mNjVWwCd59912srKyYM2eO+B1ffvklDz/8MH5+fnfddhK+T1NTk0mTJtHR0UFSUhJ5eXnU1dUhl8sxMzNDKpXS3d1NW1sbmzdvpqysjNmzZ+Pu7j7g9NH+W4Q2aGtr4+joSE5ODjk5OQwfPhwTE5P7oo1D3JnS0lK++OILlixZIorMp6SkkJmZyZo1a9DR0SExMZHc3FxaWlqwsbFRSNUTxN7/m/WqubmZhIQEKioqsPv/AtjV1dV8/vnnBAYGMnHiRKRSKY6OjsyYMUMcp93d3bi7u/dxyN8vY3IIRYYcRUMMOOzs7HB0dBSrlR08eJDm5mY8PT1RV1fH1NQUZ2dnnJycqKys5MiRI5SUlIiG0mBLKbudnp4eqqurRWP39jDs3hgbGzN9+nR0dXXZv38/2dnZvPXWW2hpaXHt2jW2b9+OgYEBTz755NAE/gdx/Phx4uPjefbZZ7GyskJJSYlLly6xc+dOLC0tWblyJXDr1KWhoYGrV6+iq6s76IQ3/yjeffddwsLCROFgLS2tO+pVNDY2Eh4eTnFxMe+99554qlxVVcW+ffvQ1tbm6aefBoZOuYRokzfeeINDhw5hYGCAra2tWP1NcKS5uLgwadIk2traOHXqFOnp6ZSWlmJgYICxsfGgu4+XL19m165daGpq8uyzzwI/3YvNmzdjY2PD4sWLxbRl4T9BsyU0NBQTE5N73Ipfx9WrV/nqq69QU1MTU42F6DuJRIK3tzdTp07FwsJC1PurqKigqamp31LMA41fs/EQ5oj29nYSExMJCQkRK5eVl5dTVlaGqqqqWOkPoKysjG+//RZzc3Mef/zxP7wdfxa2trZMmDABQ0NDHBwccHBwYPr06YSGhuLs7CxWjnN3dxerbMXFxREVFcXq1atxc3MD4IMPPsDQ0JBHH330D9GPEZ6r4Kj09PTE2dmZ6upqkpOTSUlJITExkaKiIqKioti3bx+lpaVMmTKFJUuWDLpo0V+zzsvlcvT19bGxseHEiRNkZGTg5OSEsbHxoHLoDvHLNDQ0cPPmTdTV1bly5Qq1tbU8/vjjyGQyGhoa+Ne//kVgYCALFy7E29sbZ2dnqqqqSExMZP78+XdlTLa3txMZGcnOnTvJz8/Hw8MDAwMDDhw4wIULF3jmmWcwMDAQ3y+TyfDx8SEoKAhLS0vs7e25fv06169fp7m5WawsOsT9x5CjaIgBhbCgGhsb4+3tjZWVFR0dHWJKlZaWFo6OjmhoaGBpaYmrqyvm5ubk5uZy9OhRGhoaRP2iwbqw7tixgz179qCsrCxWeuudetMbQUNE0FoQhCiFkr/R0dG88sorg2bjM9iora3liy++wNvbWwyHb29v5/jx46SkpPDWW2+hq6tLfn4++/btY8uWLYSHh3P27FlcXFzuC52F34udnR3Nzc0cPXqUgoICpFIpOjo6aGpq9unvlZWVfP311yxYsABfX196enqQy+VkZmZy9OhRXn31VUxMTIYM6/+PcB/Ky8uJjo4mOzsbBwcHDA0NkUgkdHZ2IpfL0dTUxN/fn5EjR1JTU0NWVhanT5+msrISV1fXQVORprOzk8TERKKjo3n99dcxMjIS0zdiYmKIj4/nxRdfFOfDrq4uJBIJ2dnZ7N27V4ygGMh9p3c6Sk9PDy0tLSxevFg06oU1oaurS3y2PT097N69my1bthAVFUVCQgINDQ04OzsPyGd78+ZNpFKp2Eb4ST+j90/hdbgViZySkoKXl5eoo/XDDz+wc+dOamtr0dDQEB1I0dHRnDx5kr///e+DtkrP7faAUB1MTU1NLIrg4+ODg4ODQqVNe3t7XF1dRZHcTz75BDU1NQIDAzE2NiYlJYVDhw6xZs0anJyc7sq1yuVyGhsbqaurU9AhEsaZkpIS5ubmBAQE4O3tTVtbG62trVy+fJnq6mpsbW1ZtWoVISEhqKioDKooR7izDlh/7zEzM0NNTY3k5GSuX7/O6NGj75s0uwcZYbzu37+fDRs2UFJSglQqxdfXl6CgIDEi6JtvvqGyspI1a9ZgZGSETCbD3NwcT09PpkyZgqmpKXV1dRQVFXHlyhXkcnm/gte/RFFRETt37sTU1JQbN25QXl7O2LFj0dfXx8PDQ3QanzlzhubmZgwMDOju7kZHRweZTMb+/fvZunUrERERZGZm0tHRgYODw6A/qB+iL0OOoiEGDLcvohKJBGtrazw8PDA1NaWmpoaoqCgyMzOxtLTEzMwMHR0dbG1tcXd3R01NjcTERE6cOEF3d/ev0i8aiJSXl5Oeni7m7QtV24QJ+PbStzdv3uTAgQNcvHiRdevWieklUVFRODo6iuk5Q/z39Od4kMvlhIWFkZWVhbKyMnp6ehgbG3P+/Hm++eYbQkJCCAkJobCwkH/84x8UFBTg4+ODjo4O586do76+nrFjxw4qg/ePwNDQkJEjR+Lo6EhRURHHjx/n8uXLaGhooKOjo7CRFbQc5s6dK76mrKzMjRs3sLOzIzAwcEBW47pXqKio4O7uzvDhw1FRUSErK4ujR49y7do13NzcUFdXF+cLJSUljIyMxBPDs2fPUlJSwkMPPYRUKh2Q0W+3X9PFixfZsWMHnp6ezJ8/X+wLV65c4T//+Q+BgYFMnz5d/KyQmvjOO+/g4ODAvHnz0NHRGXBtPXbsGN988w1ubm4Kkaaqqqo4OzuLji+5XE5MTAza2tpieeW8vDw2bNhAdnY2vr6+jB07lqtXr3L69Gns7e3FSqADiQ8//JCSkhLs7OzENbz3HJyXl0d9fb1YhUdJ6VYFs9jYWKZPn46ZmRk9PT2YmZlx8+ZNkpOTycrKor29naqqKn788UcmTpzIlClT7nFLfxtyuZwrV64gk8n6FVy/3YkmfKb37zKZTLQl5HI59fX1nDp1itLSUpSUlNixYwe+vr4sWLDgrmz6Lly4wM6dO9m6dSthYWGUlJTg4eGBuro68JM9c/PmTerq6nB0dGTcuHGMGjWK+fPnM2PGDGbMmIGlpWW/VfsGMsXFxZw6dQo9Pb3fZIs6OzujoqLC0aNHuXTpkpjmM9DmpSF+HcI6VFdXxwcffICZmRmXL1/mxIkTXL58GX19fQwNDens7CQ+Pp6goCBRKwxu9XdNTU10dXU5fPgwmzZt4vDhwyQlJVFZWYmjo+OvOnQU+o8QmV1UVMTHH39Mc3MzSUlJuLu74+7ujpWVFW1tbezbt48vvviC+vp6PD090dDQID8/n3//+9+kpKRgZ2fHiBEjKCkpIS8vTxTSH+L+YshRNMSAQUlJifr6elJSUjAzM0Mmk9HT04OGhgZOTk60t7eTl5dHa2srx48fp6ysDFdXV3R0dETxP1dXVzE6IScnB01NTQwNDQfkqemdcHFxYcqUKbS0tHDy5ElOnz5NXV0d2traGBkZiYZCb4dRe3s7U6dOxdLSku7ublRUVDA2NiYkJOSB1mn5PXR1dVFSUqJQYrr3ZuXChQtiNFFLSwvHjx/n0qVLos7Ce++9R3V1NR9++CFqamqsXbuW5cuXExwczJUrV0hNTSUkJORnKxLdrwh9t76+HnV1dWQyGVZWVowaNQoDAwPS0tJITEykqalJQcRRXV0dGxubPml75ubmuLi49LtRepAR7rOhoSHDhw+nqqqKiooKLl68SEREBBKJBDc3NzENS+jftra2zJgxg5EjR2JqaipG3gDk5uZSWFiInZ3dPb/XvZ93S0sLR44cIScnh/fffx81NTUxJenQoUMUFBTw3HPPiQa10Nbw8HBSUlJ47LHHcHV1Fb93oNDV1UVqaioJCQnExcWJWn0dHR1IpVI6Ojq4ceMGiYmJfPvtt0RERHD9+nUCAgK4evUq69atQ0tLi+eee47Fixfj4eHBhAkTSE5OprKykqCgoAHlWK2srOS7774jLy+PnJwcJBIJ9vb2Yv8rLCxk27ZtNDU14e/vLz6rS5cukZmZiaenJ7a2tigp3Sot7u7ujqurK3V1dcTExJCVlYVUKmXdunWD7vT78uXLbNiwgevXr+Ph4dHve27vu79U6MPS0hITExPOnz9PdHQ06urqPPHEE3dlw5ednc0nn3xCWVkZAQEBqKmpkZubCyCKyQvXl5aWxltvvYWtrS1WVlZoaGgglUoHden09evXExkZSX19PTKZDH19fdHZdae5s7fQd3V1NRkZGejq6uLm5jag5qUhfhtKSkp88sknyOVynnnmGWbNmkVXVxcJCQmcP3+eMWPGoKmpyfjx49HR0SE/Px+5XK4Q8bhjxw7279+PtbU1Dz30EDY2NsTHx6OkpISvr+8vRlIL/ef06dPs2bOH0NBQfHx8sLS0JD09nWvXrmFnZ0dcXBxffvklaWlpeHp6smjRImxsbGhoaOCdd95BIpHwzDPPsHLlSkaNGsWYMWOIioqipaWFgICAoX56nzHkKBpiwFBdXc0XX3xBREQESkpKuLi4/D/2zjsuqiv9/++ZYYY2dAbpIk2KUlSKQuxiN5aYGI2xJCYmxiRmU3azm2y+m/w2m2x2s2uKpqiJGlt07VJEQIoCSrEhqEhTAVFQRNrIzO8PXvfKiCm7MQLmvv8R5g7Xe+4995znPOd5Po8oZtjQ0MDq1avx8fFh3rx5GBkZkZWVxc6dO9FqtQQHB2NsbIyTkxO+vr54eXlRUlLCvn37OH36NIMGDeoxBodOp8PU1JTw8HAGDRpEWVkZhw8fpqCggPr6emxtbQ3CtxUKBe7u7jg7OwO3tVlsbW0lJ9EvoLy8nM8++4zvvvsOJycnsWqQTqdDq9WycuVKjIyMePnllxk4cCCmpqZkZ2dTUVHBkiVL8PLy4pNPPuHixYu88sorDBw4UNz1vXDhAgUFBcTExPwm08+EijbvvvsuqampuLq6Ymdnh6mpKT4+PoSFhdHW1sb+/fvJzc1Fr9eL6Wgd+3RHR0FP0624H3S8F2fOnOH7779n/PjxTJ48mcrKSlJSUkhOTsbZ2RlnZ2cDh6iRkZGYqiOc6+LFi3z99decPHmS8ePH3/d7LTi+jh07xqlTp7CwsBAdrSdOnGDt2rVMmzaNsLAw8bvnzp3j22+/5ebNm5ibm2Nvb4+JiQlKpRKtVss777zDQw89RExMDCYmJl3u/LoTuVyOj48Pjo6OFBUVkZKSQkZGBsePH2fXrl3s27ePjRs3cuTIEXQ6HXPmzGHy5MmYmZnxySefUFtbywsvvEBQUBDQvqlgbm5Ofn4+N2/eZPz48d2qzUJVK51Ox7Fjxzh8+DBFRUXY2Njg6OjI7t27OXPmDOPGjaN3797ic9ZoNIwYMQJ3d3cxPUkmkxmkbnh6emJqasrUqVPp06dPVzf1v6KlpYW4uDhSU1NZunQparWalpYWmpubDVKThHb/3GdqZmZGnz59CAwMxM/Pj7Fjx9K3b99f3B/Onj3LBx98gLu7O88//zyTJk3ioYceorCwkMLCQsaOHSs66i5fvsy2bdtobGwUdcUeBPr16wfAwYMHyc3NpaGhATMzMwN9sDufk/CzqakpQ4YMobS0lH379okphd3lPZX4eQhpksePH2f9+vU8+uijDB48GCsrKwYNGkRRURFVVVWMHj0aY2Nj5HI56enprFu3Dj8/P1xcXGhtbSUpKYm1a9cydepUnn32WQIDA+nXrx+nTp3iwoULjB8//kedREI/q66uZuPGjWi1WrEar7m5OaWlpaSnp1NQUEBKSgqOjo4sWrSIWbNm4eTkRHNzMytXruTy5cssWbKEgQMHAtDa2oq1tTVZWVlotVpGjRp1X+6rxP1DchRJdAu0Wi3x8fEkJCTg4uIihuv6+PiIu75paWksW7aMfv36ERISgrOzM42NjSQlJREfH4+VlRV9+vTB3NwcFxcXAgMDsbS05ObNmwwbNqzH7B52FLC2s7Nj1KhReHp6kpiYyNmzZzl79iw6nQ4HBwcxUqrjQlni3iCXy6mvr6e4uJjExEQKCgrw8fHB2tqanJwctmzZwqJFiwgICBCdd3l5edjb2/Pcc8+xZ88edu3axeLFi4mMjBSfT1tbG1lZWRQXFzNhwoT/Kb/8QaCxsVEsV75r1y5qa2tF/TFLS0v69+9PUFAQlZWVxMbGcu7cOVQqFZaWlgZh/FK//2HuLKF+9epV3n33XXr37o2/v7+oSVJSUkJERISoZXKnwSmTyQz0f15//fUu0T0Top5WrVrFjh07qKysFJ07u3bt4tq1a7z99tvid5uamli1ahX19fUEBQVx4MABcnJyUCqV+Pj4sGLFCqqqqpg7d66oa9Pd+pNer0elUuHl5UXfvn0pKiqioqKCK1eu4OLigkKhYOTIkTz22GPMnj2bfv36YWZmRkZGBps3b+aZZ54RK1fp9XoxjTA1NZXm5maioqK6VcRtW1sbJiYmhIaGEhYWRl1dnSiyfuLECU6fPk1wcDAzZ840KPSgUCgwNzcXnSZ3PkdTU1M8PDyIjIwUn3VPori4mFWrVjF+/HgeeughmpqaSEpKIjs7m8DAQNGB3jEysKWlhby8PJydnX+0XysUCqytrenTpw8ajeYXvwOXLl1i1apVaLVali5diq+vLzqdDqVSSUFBAVevXiUmJgalUilWCN25cyfLli27a4XQnoparSY0NJTg4GCqq6tJTk6mqKgIrVaLpaWluOEHnR1GQrEBe3t7sSKlp6enuCEo0TMQnulf/vIX3N3dmTp1qhglVF1dzddff82ECRMICQlBpVLR1NREQkICV65cEQtzFBQU8MUXXxAREcHTTz8tpm3K5XJycnLQarUMHjz4R7WshHEhIyODPXv28Morr+Di4oJWq8XIyAiFQkFqaio+Pj688MILPPzww3h5eaFQKNDpdGRlZbF582aefvppwsPDxU1TIyMjdDodKSkpyGQyBg8e3O0rhkr8d0iOIoluQUlJCV988QXjx49n9uzZFBQUkJiYiK2tLX369CE5OZlBgwYRFRWFXC7HyMhIzI91cnKirKyMhIQEUXdBo9FgZWWFp6cnUVFR3Tqa6Id2/oTFmUKhoL6+npycHDQaDSUlJWRlZVFVVYWxsTGOjo4Gpay720Knp2JsbCxWY9HpdOTm5rJnzx6qqqpISEjA39+fqVOnolKp0Gq1ZGdnk5yczBtvvIFcLuezzz6jT58+PP300wbnFTSlNBoNU6dO7aLWdT0qlQpvb2+xwuHBgweJj49HoVDg7e2NUqnEwcGBgQMH4uHhwYkTJ9i/fz/V1dWYm5tjaWkpiXx2QBhH7tQw0+l0HDlyhC1btrBkyRI8PDxobW3F1tYWDw8PDh06hKurK4MHD/5Rh0FxcTHffPMN/fv3Z/r06ferWZ2Qy+UMGjSItrY2sTpQSUkJeXl5LF68WEyJ0+v1ZGdn8/333/O73/2OMWPG4O7uTnl5OQkJCWRnZ3P06FGmTZtGdHR0t9Vh6hgdYm9vj4+PDwUFBVhbW/PSSy8xbdo0UcdPpVKJzpPPPvsMJycnnnzySQOtC2h30u7evRsnJydGjhzZZW27G8ICRKgC9dBDD9GnTx/Kyso4ffo0jY2N9O3bV3R+3alf9CDS0NDA999/T2VlJW+99RYKhYLz58/zr3/9Cw8PD8LDwyksLCQ+Pp5+/fqJ9+Wjjz5iz549REZG3rcNiebmZvbt20dSUhKvv/46fn5+wG09xcOHD3Pt2jVGjx6NSqWirKyMdevW4erqyrx58wAeKHtGeG8FB2VBQQEHDx6koqICmUyGtbW1WLCk4/gj3AONRoO/vz/Z2dkcOXKEgIAAg0hPie6L0H8FPaG5c+cSGBgoHv/Xv/4FwOzZs7G3twfaMytWrVrFrFmz8PHx4erVq2zbto0LFy7wzjvviE4igBs3bpCcnIxOp2PChAk/eT3nz5/n22+/xdPTkzlz5gCIDmZzc3MOHjxIcHAwY8aMQalUin1Sr9fz+eef4+zsLGZ0wO355MaNG+zbtw8XFxeGDh16D+6cRHdCchRJdDmNjY1s2rSJy5cv89prr9GrVy+cnJzIzc2luLiYqKgoIiMjCQkJEQcvgbq6OkJCQggKCsLY2JhTp06xa9cuqqurxcoe3T2SSGhPUVEROTk59OrVC2NjYzH9A2D58uUoFAqWLVvG7NmzqampIT09nby8PK5du4alpaUo7ClxbxAmecFZ4ebmxs2bN8nJyUEmk7F06VIcHR2B2yK6fn5+zJgxg9jYWA4dOsSbb76JjY0NbW1toqBhcXExmzZtYsaMGfesqkxPRIhucHR0xM/PD3d3d65fv05cXBxZWVnY2dnh4uKCSqXC3d2d8PBw1Go16enppKen09jYiKWlJRYWFlKKJe3jSEVFBVu3bsXKykq8L1VVVXz77bfY2tryzDPPiN+VydorsFRUVBATEyPq83Tkbvo/7733noGxer8RImxCQkKIjIykpqaGnJwc9Ho9fn5+mJmZYW1tTVNTE//617/w8/Nj5syZmJub07t3b/z8/HB1dSUxMZGQkBAmTpyIRqMBul80kUDHqAM7OzsaGxtJTU0VF5HCWCWkORQVFbFp0yaeeOIJPD09xfMI3zt79izbtm3jySefxMXFpaua1Qnh+u50ALm6ujJ27FjMzMwoKyvjxIkTHD16FJVKRZ8+fe6qIfcgIVQ1FSqR1dfXs337dqqqqnjvvfcA+POf/0x9fT2hoaGYm5tTUlLCqlWrmD59OgMGDLhvdpCQ6jl48GBRUL7jgnLTpk3069eP6OhoUYA8IyODd955B0tLS4Nn2DEKtyc/V2Gu6927N0OGDEGtVpOVlUVGRga1tbWYmJhga2trIDLecZFub2+PSqUiNTWVsrIyAgICfpMp6z0NYQx77733GDBgABMmTBA3rfPy8tiwYQNz5swhJCRE7N9bt27l0qVLYuRQUVER3333HfPnzycwMNDgXaivr2ft2rVMnjwZX1/fn7yeM2fOsG/fPt56661O75peryclJYWmpiZGjhwp9j25XM7p06fZsmULTz75pEHKrjBeFxUVsXPnThYsWICTk9O9vo0SXYzkKJLoco4fP866detYsGCBuFhxdHTExcWF+Ph4qqur0Wg06HQ6zp8/z7lz54iPj2ft2rVs2LABFxcXgoODCQkJwcPDA51Ox8GDB0lOTmbSpEndehEpGARCpay9e/eSnZ2Nr6+vuMMQGxtLZmYmQ4cOJSoqCpVKxZAhQwgKCqK4uJjDhw+Tm5uLWq02WBRI/DI6ioYbGRnh7u5OSEgIAQEBTJkyRZwwGxsbiYuL48iRI7zzzjuo1Wq++OILvLy8DCovCYufTz75BCMjI+bMmSOm+vwW6Rj9YmxsLC7iHRwcKC0tZffu3VRUVODm5iZWjREiCYTwbEEY1crKCrVa3W0X+veL/Px8Nm7cSHp6OjqdDisrK7KyskhKSuJPf/oTtra2oghySUkJmzZtom/fvkydOhWlUvmDehknTpxg3bp1TJ06lYiIiK5qnsE1Qftzj46Oxs/Pj/LycpKTkyktLaW1tZWsrCxyc3NZtmyZuAMv7OBXVijsRj4AACAASURBVFaSmZkpLqJ7yiJUaLuvry/Z2dmUlpYycuTITtWgduzYQV1dHZMnT8bGxqbT3//73/9GrVbzyCOPdKtoW+H6BJF7If1GwM/Pj2HDhtHS0kJ+fj6ZmZkUFxdja2uLg4NDj3mO/w1Xrlzhm2++Qa1W8/zzzwO3baaFCxfi7e3Nvn37SEtLY9GiRXh7ewPw17/+FWtra2bOnHnfIlBaW1uJj4/nxIkTvPXWW5iamqLX60UH5tGjR0lMTGT+/Pn06tWLkydPsmfPHpydncUoRb1eT3FxMWvWrEGr1eLh4SEWL+iOEX93o7m5maqqKq5fv26QXgZgYmJCYGAggwYNQqFQkJiYyLFjx7h58yYmJibY2dkZfF/o097e3hgbG3PgwAEAUSNGontTV1eHjY0NQ4cONUgb/Otf/4qHhwdTp04Vo/3q6ur45z//KaaiGRkZ8f3339PQ0MBLL72EXC5HLpeLDp7vv/+e8vJynnzyyZ8VMejq6sqIESNwdnY2GFuFAjg5OTk0NDQwduxYg+qx33//PTdv3mTKlCkG4tpCP12+fDkWFhZMnz69W6UxS9wbuneohcQDz9WrV9mxYwfe3t6dRNAGDBjAiBEjOHDgAPn5+dy6dQutVguAjY0N3t7eDBkyhICAAKB90AoNDcXX15f+/ftjaWnZ7XNlhfSy1NRUzp8/T1hYGHl5eXz66ae8+eabqNVqtm3bhrOzs5giIEwSgYGB/P3vf+fAgQOsWLFC3GESjDKJe4NgpEJ7vwsLCzM4LpR0nzx5Mr169aKwsJDS0lImTpwIYLDTn5OTQ35+PvPnz/9Nh4/X19djaWnZqZ86OTkxceJEIiIiWLFiBRkZGWRlZTFhwgRmzpyJpaUlHh4eLFq0iOjoaLZt28bq1avF7wQGBhosjH9rREVFYW1tzd69e9m4caNYiSQ6OhovLy8xGgfanQlKpZKhQ4diZmbWadwQFmVXr14lISEBY2Nj5s6d21VN+1FCQ0Pp378/cXFxbN68mS+++AKARx55RHSed2zf2rVrGTBgAAMGDEChUPSYBSi0PxelUsm4ceNYuXIlRUVFolC10MbW1lZkMhmurq4GnwOkpaVx8uRJlixZYmD0dzU3btwQxeurqqpQqVQEBAQQHBxMaGgoarWatrY2bGxsWLx4MaNGjWLjxo1kZWWJBSsWLFjwQEVa3Lp1iyNHjnDy5Enef/99AGpqati1axdubm7igm7dunWMHDlSjFA9ePAgZ86cYenSpbi5uQG3+8CvaR80NzeTmprKqFGjsLW17fR/bdy4URQVb2ho4NChQ5SVlQHw+uuvs2jRIqytrVm7di3Hjx8nLS2N3bt38/TTT4tVLe90HnY3Ghsb2bNnDzt27MDBwYERI0YwZMgQMWpR+E5SUhJTpkwhPDycTZs2sX37doqKihg8eDCDBg3C0dHRYLNKLpczefJkLl++TFtbW7e/DxLt2NnZMW7cOIP3IC0tjfLych555BE0Go04/6xduxYrKysiIyMxNjamtbWVQ4cOMXPmTHGegvZ0sWvXrrFr1y4mTJjwsysU6vV6MQq+Y98Rrs3U1JTS0lLRPhOcs83NzSiVStHR1fG9Tk9PF+eTB2nslbiN5CiS6FJOnz7N8ePHxZKLHVEqlcyaNYtjx47R1NTEc889h0ajwdbWFo1GIwqwCQjRCebm5sTExNzvpvzXCJNDXl4eR44cITIykpdeeoldu3axZs0aNm/eLO4s9O3bVxSPFdosDNajRo1i+PDhBmKW0J7rfPHiRXx8fKQB/Bdyp+CkcO/r6upITExELpfz1FNPAXDq1ClRX0dALpdz48YNVq5ciZ+fHyNHjuwxC9N7hWDY5uXlkZ2dzfTp09FoNDQ2NlJZWYmXlxcARkZG2NjYUFdXh5+fHxYWFsTGxpKWlsasWbMYO3YsxsbGhISE4OnpKVY//Pvf/87MmTN54oknurilXYeRkRHBwcH4+Phw+PBhDhw4IFZLPH36NG5ubqjVanJycjh9+jSDBw9mwIABAOJOZcdxRK/Xi5Eby5Yt68qm/SRGRkZMmjSJqKgodu3aRWVlJY899ph4XDCyt2zZwvXr1xk7dmy3Tzm7G8JzEZxDhYWF4s+C8d7Y2EhLSwtNTU0olUrx89LSUlatWsXgwYOJjo7umgZ0QBhHz549y/r168nPz8fd3R1XV1dxAyUtLY1x48Yxffp0rKysuHXrFgqFAh8fH95++23S09NZv349mZmZPPvss8AP6/71NC5dusSOHTuIjo4mICAArVZLXl4ex48f529/+xsAX375JUqlkhEjRmBtbQ3A6tWriYiIIDg4uJPmTUf9n3vlMBLu98mTJ6mpqSE8PFz8v4Rje/bs4eLFi8ycORO1Ws2hQ4dITExkypQpGBsbExsby6uvvkrv3r0pKytjyZIllJeXc+DAAd544w2GDx/O/Pnzu/1GgCB/IAgFr1mzhnPnzjFt2jQxOuq7777jyJEjTJ48mf79+6PX63n77bc5f/48p0+f5tChQzz22GMEBwcDt++jUqlk9uzZ4jsg0TO481k1NTUhk8nYuXMn1tbWBAcHU15eTlJSEnPmzBGdu3l5eeh0OtER1HFM+/zzz7G1tWXcuHE/uy/81JhoZWUlVl0Wxgch9Vyr1aLT6VAoFGJ/FKqgRkREEBUV9d/cEokehOQokuhS+vXrx2uvvUZISEinY3q9HgcHByZOnMjatWvRaDSiQXw3fqjcaHdFJpNx/fp10tLSaGlpYebMmQBMmTKFCxcuEB8fz4ABA3j66ac75a6DocEnTBTC8cbGRnbs2EFycjKrVq3qgtY9mNx5748fP056ejovvPCCeMzc3BytVitO9tDutFu3bh2NjY08//zz3Won/36g1+vFPvrVV1+hUqmQyWRcuXKFbdu2sW/fPubMmcO0adNQKpWsX79efCcGDRrEoUOHSEpKYsWKFSQmJjJ37lyCg4OxtLRk1KhRBAUFERcXR9++fbu4pd0DMzMz8b4kJycTFxfHW2+9RUxMDKNGjWLbtm3Y29uLzoLa2lpsbW3FXUthTKmoqGDv3r34+PgwfPjwrm3Uz8TGxoZ58+YZRFAI/a+hoYFNmzYRExMjior2lPmiIzKZDCcnJ+zs7CgrK+sUXTBw4EDS0tLYvn07Y8eOxdHRkbS0NLZu3YqxsTHz5s3rFmmvwjj62WefUVNTw+LFi4mJiUGhUNDY2Mjly5fZsGEDO3fuRC6XGwipCm2Ojo4mIiKC8vJyTExMuHXrlvid/Px86urqGDFiRI97zs3NzSQnJ3P16lX++te/ArcdR5GRkfj7+1NVVcW+ffsMtKjWr19PU1MTo0ePFh2h5eXlZGZmitUNhw8ffk+jioT7eurUKWxsbAyiZ2QyGZWVlaxbt47o6GgGDRpEbW0te/fuxcnJiaeeegq9Xk9AQADbt2/n+PHjjBs3jpiYGLRaLUFBQSQmJpKSkkJmZiaff/55t4vG7Rh9mZSURFtbG3/729/Q6XRs3ryZnTt3Ulpayssvv4yXlxcnTpwgKCgIMzMztFqtGCG2bNkyDh06xM6dO7l27dpdo8CkTb+eT1hYGI888gjJycm8/fbbDB06lPPnz+Pj42NQVMLS0pLW1lYxkwLa0zuTk5PJyspiyZIl90RjTtj8bG1tpa2tjYaGBgOHbP/+/cnJyWH//v1ER0djaWnJ0aNH2bx5M0qlkieffBJzc/NffB0S3RPJUSTRZeh0OqytrX9yZ3PIkCFs376duLg4goKCftLg60nGoFDyNyYmxiBvePr06WRnZxMfH8/gwYN/tBR4R4OvozB2WloaY8aMQa1W35/G/MaoqKhg586deHp6MmbMGPFzYVd3x44dTJ06lZaWFlavXs2RI0dYsmTJjzo7H1QEx4NgAM+fPx97e3vi4uJEzYU9e/YwcOBAvLy8uHz5MkFBQQwcOBBTU1NGjRpFYGAghw8fJj4+nrfffpvo6GjmzJmDs7MzvXr1Yu7cuVLK5R1oNBoeeeQRBg4cSGxsLAcOHGDv3r2o1WoeffRRMVXl448/Rq/XM3/+fLy9vVEoFDQ1NYkaMP/85z+7uCX/HR31FYSFFsDKlSuxtrZm2LBh4rjYk+YLAWHh6OLiwoULFzrtKAcHB+Pl5cX27ds5evQoOp2OCxcu0Lt3b37/+993C8FRoQ3bt2+ntLSU+fPnM378ePG4mZkZHh4eLF68mJaWFv7zn/8QGRkpOoM76msolUoxIlF47pcuXWLjxo00NjYyYsSIHveci4uLiYuLY/r06aKAeVpaGlVVVWI00Zo1azAxMcHT0xMTExPq6+vZtm0b48ePF/Ue9+/fz6ZNm7hy5QoAhw4doq2trVOq/73A2NiYhoYGMeUR2ivafv3111haWop6LHv27OHkyZMIEqkymYz+/fuTkpIiLjyhPao8PDycgIAA0tPTuXLlSrdzEsHtMSQvL4/Dhw+zaNEisX8+9thjeHp6sm7dOnFTtLm5mYCAAExNTcnIyODo0aO88soreHp64unpydixYzE3NxcjN9LS0igpKWHOnDndXk5B4qexsbHhscceo3///hw8eJDMzEzkcjmzZs0yeHdUKhVyuZzMzEyCgoLQ6XQkJiayfft2Jk6ceE/HNblcTlNTE6ampmLamXDuiIgIYmNj2bBhA1lZWbS0tHD69GkcHR15/fXXDa5Z4sFDErOWuG/cuHGDU6dOodfrsbCwEL3YcHdjXfhMrVZTV1dHWloa48eP7/FiacIAfOHCBf7zn/+g0+l45ZVXDFLKLC0tqaqqIiMjg6FDh/6sCBThvLW1tWzdupXq6mr+3//7f792c36zVFZWsmvXLpYtW4aDg4OoHWViYkJmZia5ubkcOHCA7du3c/36dWbMmMHUqVN/k84MuVxOQ0MD//znPwkICGDGjBlcvXqVNWvW4OzszP/93/+RnJxMXl4eI0eOJCIiAh8fH9Hp1tbWxvXr14mIiMDX11e8x7GxsTQ1NREQENDtqxt2FTKZDFtbW0JCQvD29kapVBIYGEhMTAympqbU1tZy5swZcnNziY+P5+rVq/Tr148rV67w9ddfEx4eLupt9RQ6zieC8/3s2bN8/fXXzJw5k8jIyB6nTdQRmUzGrVu3qKiooKGhgbCwMIN50dTUlIEDB6JQKCgpKUGj0TB+/PhuVeVMJpPR0tLCmjVrsLOzY9asWZibm3d6Jqamptjb25OUlISjo6OoSShw53gq6P4dPHiQ/fv388YbbxikAfcE6uvr2bx5Mw0NDbz55ptAe8Wi1atXM2XKFFHLcP369bS1tVFWVoZGo2HdunW0trYyb948HB0dOXbsGB999BGenp68+OKLjBo1ipSUFExMTBg8ePA9v+6LFy+SnZ0NtAvnnj9/ntWrV3P69GmWLVtG//79xWpsfn5+zJo1S3zemZmZfP/99zz66KOEhobS1tYm9gNjY2O8vb0JDAzsdvOncP3l5eVs3LgRU1NTXn75ZaC9byoUChwdHXFzc6O8vJxTp07h4ODAvHnzaG1t5YMPPqBv377MnDlTdAKZm5uLP1+4cMEgfU2ie3Pn+CX0446fCRGujo6OBAYGEhAQwIQJEwgICDBw+tva2tLU1CRG1MXFxVFYWEh4eDhLly69p+mHOp2O+vp61Go1AQEBopYhgIWFBV5eXty8eZOTJ0+KGnl3VkGTeDCRLGuJ+8bp06f57LPPsLS0ZOLEiURHR4u7uj+VLx8WFsauXbs4efIkkZGR9+uSfxWECSMjI4OysjLmz5+PUqnslD4QHR1NbGwsubm5P8tjL5z32LFjZGRksHTp0l+nARJAe+Whjz/+GGdnZ4P0P3t7ez788EM2bdpESUkJfn5+jB49+je/63LkyBFMTU0ZPXo0FhYW7Ny5k/Lycv75z3+KYu1bt27l8OHDDB8+HJ1Ox+XLl8nNzeXQoUPU1NSwZMkS+vXrh6urK0FBQaSkpIhpVBMmTOjqJnZrVCoVgwYNIjQ0tJMxumzZMgYMGEBcXBwJCQlkZGRga2vL9evXeeaZZ7rwqn85Qlu/+OILfHx8CA8PF43gnugkEjAyMmLu3Lm0trZiZmbWaYFib2/PvHnzmDdvnkE6VneisbGR69evExAQgIODQ6c2CL87OzujVCopKSn5WSK+JSUl7Nmzh8jISDHFsCdRX19PXl6eqB/W1tZGXFwcSqVS1GBbsWIF/fr1Izg4mOzsbN59910UCgVz587Fy8uLgoICPv30UwICAnjxxRdFZ1mvXr3EdJZ7HZ3Sv39/LCwsxHSr5uZmNBoNixcvJiwsjIaGBtLS0qiuruYvf/kLcDs1LSEhAWtrax599FEAUR8FbtuH3VGXR3BMZmVlUVRUJLZL6KeCtlBoaCi1tbUsX76c0aNHY2ZmxsmTJwGYPn06pqam4jmFfq/VasnOzub8+fN89NFHXdI+if8Ooc8WFhbi7OwspgreTf9PJpOhVqtFLaqOCMcnTJiApaUl5eXlNDc3M3HixF+lurFcLv9RGyogIIC+ffui0+loaWmRMhV+Q3Q/y0HigSU8PJxz586xdetWVqxYQU5ODiNHjiQyMvInBRY9PDxQqVScOnWqxzuKoH2XKCUlhV69eonVzO40ghwdHbGysiIvL48pU6b87PPu27ePPn36MHr06Ht+3RK3kcvlYhWIjn1WqMzz3HPP/SrGeE9lxIgR9O3bFycnJwoKCkhMTGT06NGi0TN37lyys7NZt24d2dnZVFRUUFVVRWtrK3Z2doSHh4vONjMzM8LDw/H09OShhx76VXbHH1TuHGcEA3bYsGGEhoayf/9+kpKSqK+vZ8GCBQ+EQbh//37Onj3Lyy+/bKAd1tMxMjISHUB3c3oJz7Y7OomgPbXoxo0bBtG0Hfun0CaVSoVarcbMzOwHI8GEz27evElqaio1NTV8+OGH968x95CWlhZUKhWpqancuHEDPz8/0tLS+P3vfw/Atm3bqKurEx3nQ4cO5ZVXXsHPz4+oqCjq6urYuXMn9fX1/O1vfxPTtSorK5HJZBgZGf0q85Kbmxv//ve/2bhxIzU1Nfj6+jJ69GhRjLewsJDs7GwUCgVHjx4lKCgId3d3jh8/Tn5+vhg9daczsLtFEd3J2bNnSUhIICwsjODgYANNPqGfNjY2cu7cOdRqtRih6e7uzttvv91pE0n4m+LiYvbu3Ut0dLSYJizR/dm2bRtbtmzB3NycSZMmMX36dINUWYVC8ZObFMJxBwcHpk+fbnBMKMxwvxGctZJN+9uie1oPEg8cghE3e/ZspkyZwieffEJmZiZlZWXk5+czevRofHx8flCQ2tLSEh8fH86cOXPX4z0NV1dXlixZIgrA3WkY6XQ67O3tcXR0pL6+/q7fEei4+5SVlcWZM2d6rIH8INBRWFyaUNsRDBtnZ2euXbtGXFwcLS0tLFy4EEB0qI0dO5avvvqKGzdu4OPjQ1RUFKGhobi5uYniu8K5ZDIZ9vb22Nvbd02jHhCEhbder8fS0pIZM2YQHR1NY2PjAxNWrtPpmDBhAv379wd6/vzxc+mOERgdMTU1xdfXl7y8PBoaGlCr1WL10o6l0EtLS6mrq8Pb2xv48VT1wsJC9u/fz4wZM7p9hawfwsvLiz/96U9s3ryZo0ePkp+fj5WVFQMHDgTaK/fFxMTQu3dvFAoFp06dorGxkWHDhuHg4MD27dvJyclh4cKF2NnZifexpqaGS5cuidXh7jVtbW3Y2dnxwgsvdNokuXr1KsnJyVy+fBk3Nze++uor/P39CQ4OJiUlhcDAQCIiIoDu32870tDQQEJCAlevXuX9998HOjs8od1Jl56ezsMPPyz2bUtLy07i1MLY1NDQQHJyMteuXeO55567b+2R+GWUl5ezfv16vL29aW5uZt26daSmpjJnzhzCwsIMytz/nDnozkq7P/fvfg1+C3OmRGckR5HEfUEY6IRQywkTJpCZmYlOpyMuLo78/HxGjBjB8OHDcXR07DQwQnuqz549e2hsbOwWFVt+Kf369RN//iHDSK1WU1ZWdtc2dyxfCe27T/v27SMqKkqq/tQNkCbV2wih1tAe9Xb8+HEeffRRzMzMRDFaaI863LhxI0OHDjVYzAhaZsK5JO4twsJcGFOECIAHhZiYGG7duiX2M6kPdQ8UCgVjxozhH//4B1988QXPPPMMFhYWBscBvv76a1xdXUVH0Z10rDqVkJCAsbExc+fOvS9tuNcIbfHy8uLNN98kIyODbdu2UVxczPPPP49CoUCtVjN8+HCsra3R6XSsXr2awYMHM2jQIC5dukRKSgq9e/fulEqSkJCAs7PzD97HX4pCoRDtPKVSaeCQPXHiBBkZGbz00kuMGDGCnTt3snXrVk6fPg3AW2+9Bfzwhlh3RS6X09jYyPjx47G3t//B6z948CD19fXExcVhb28vRpLf6bQWfi4oKODAgQM89thjD0RU52+FtWvX4u7uzptvvolWqyU2NpaUlBQ++ugjhg0bxowZM8T59edsWNxZaVdC4n4jiVlL3DeERcilS5f45ptvUKvVfP755zg4OJCZmUlhYaEYMeTk5GQgpgbtobttbW2Eh4f32EiNn7uTLXwnOzubmpoaxowZg4mJCVqtlurqagMxcGH3affu3Zw8eZL33nuvxwt+SzxY1NTUiNFzSqUSCwsLHn74YeC2kwLaRTzPnz/P0aNHmTp16o9W+5O49zyo91kmk/WoxedvCWdnZ+rq6khOThaLXbi6unLt2jVyc3NZuXIlpaWlPProo2LECSAWD4DbjujDhw+zbds2nn/+eTw8PLqoRb8M4R3UarUoFArc3d0ZOXIkJiYmFBUV0dLSwuzZs+nfvz9KpZLVq1dTXFzMvHnzcHd3JyMjg8TERF588UWcnJxobW1FqVRy4cIFVqxYwaRJkwgJCfnV3vWO47nw78WLF/nuu+9Qq9VidIyfnx8ajYZDhw7x8MMPM2zYsB7nJIL2+Sw6OlqM9oLO42h5eTmffvop/fr149atW+zfv59jx47h7OxsILQu2Ic1NTVs3ryZpqYm/vjHP963tkj8Mo4cOcKmTZt44okn6Nu3LxYWFoSEhODh4UFVVRVZWVmcO3cOCwsLHB0dDfr6byXKVaLnITmKJO4LWq0WIyMjbt26xcGDB4mPj+fVV1/FwcEBT09PysvLKS0tpaqqiuzsbC5cuICTkxO2traiM8TNzY2oqKge6ySC286yjIwMtFottra2d/2eXq9Hp9Nx9OhRysvLmTZtGkqlkg0bNrB9+3a0Wi02NjbiTlN+fj7r169nxowZDBo06H42SULiRzl48CAffvghwcHB2NjYiOkmcHdNsvr6ejIyMhg0aFC3LIUsISFx71AoFISFheHk5ERcXBxZWVns2LGD2NhY0tLSuHHjBosXLyYqKgqVSkVtbS2mpqZi6XBhDKmoqGDdunXY29v3WAF2wdaB29E5Op0OIyMjAgICiI6OJiwsjLCwMJRKJZcvX+ajjz5i0qRJREdHo1KpWLduHebm5syfP1/UypHJZPz9738HYMGCBQZRW782Wq2W5ORkEhMT+cMf/iCmCtfW1hIbG8vly5d55513Omn6dHc6Pqu7RQTB7cX/ihUr0Ol0vPbaa4SGhmJkZMTJkyfZt2+faAN3TDE6dOgQO3fu5MUXX3ygNNUeZNra2vjggw/w8vJi2rRpmJubi85sR0dHhg8fjkwmIyUlhVOnTmFqaoqLi4u4nhHGsV27dnHixIlO1R0lJLoKKZZN4lelpaWF9PR0Xn75ZQ4cOEBVVRXx8fFERkaKuyvZ2dmkpaXxu9/9jm+++YYBAwaQk5NDUVER0DnksmMaSk9DoVBw8+ZNsSqWVqsFOrdJ2AGvr6/H1tZWzGt2d3entraWr776ipUrV5KVlUV5eTlJSUmo1Wpmz57dFc2SkPhBGhoaqKurY/v27bS1tRkc6/huC6lpXl5eQHvloo6fS0hIPJjIZDKGDx/Ohg0bePbZZxkxYgShoaHMmzePv/zlL4wcOVLcFPn444/505/+xLlz58R5sqmpiczMTIqLi3usnouwUKyvr+fbb7+lsbFRFI8VHGJ2dnb4+vqKzoiVK1fi7OxMVFQUarWa2tpaTpw4IaY1CdE9KSkpHD9+nIkTJ+Lo6Hhf23Xp0iW2bNlCWFgYfn5+4nh+5swZUlJSePzxx8Wqrz0pvaZjAZa7ITh+CgoKOHz4MGPGjMHe3h4fHx8WLlzIkiVLGD9+fKfnUVFRwd69e/H392fIkCG/ejsk7g179uyhsrKSKVOmiNpodwpYz5o1i48//hg7OzvWrFnD5s2b0el0okO3paWF1atXU1JSQkNDQ1c2R0JCRNIokvhVKSwsZOPGjVy4cIHly5fj6upKZWUl7777LgDXrl1j586deHl5ERYWhpGREW+//TYlJSXY29tTU1PDhQsXqK+vp2/fvjg6OvYoY+JO9Ho95ubmTJ48md27d/PNN9+wcOHCu4ZbNzQ0oFKpMDY2Fnevhg0bRlBQENu3b2fv3r2cOnUKZ2dniouLee2117qgRRISP87EiROpra1l69atyOVyFixYgJWVVadoImHxo9FosLS0pKKioqsuWUJCogswNjZmwoQJd03D0Ol04sZJeno6r776KmPGjGHBggVcuXKFuLg4hg0bJjqaexrCWLht2zZ27NiBl5cX0dHRnY4Li878/HxycnJYtGiRKDpfWFgIIEYMtbW1cf78eVatWkVkZGSXVELVaDRMnDhRrNwq2DIqlYqYmBjx856Scnb27FmOHTvGQw89RK9evcTINrh7ZNE333yDt7c3AwcORKFQiJp8gwcPxt/fX0zJlslkNDc3k5GRQWlpKZ988sn9b5zE/8S1a9fYsmULI0eOvKs+qBAdCNCnTx/++Mc/smbNGhISEpg0aZIYZffll19ibW3NhAkTJF0qiW6D5CiSf2yYsAAAIABJREFUuOcIRl59fT0pKSlUV1fzxhtvsGnTJsrKypgyZQq2tra0traSm5vLqVOneO+99zAyMqKlpQVjY2M0Gg0pKSls3rxZrPplZ2fHk08+yfDhw++astITEIyHadOmUVVVxZ49e7C1tWX69OmizkJHvZbHH38cnU6HiYmJaCDa2NiwcOFChg8fzqZNmzh69CjR0dEGRqWERHdA6M/jx4/n3LlzJCcn4+vry4QJE37w/VWpVBgZGVFdXQ30nFQECQmJe4PwznecD+VyOdbW1ixbtowBAwYQFxdHQkICGRkZ2Nracv369R6bctaRhx9+mBMnTrB8+XKMjIyIjIw0GAMFh8qXX35JcHAwgwYNwsio3ZS3srKira1NjEbIy8tj06ZNWFpasmDBAtEpcT8xMzNj9uzZyOVyg2pgAwYMwN/fH+hZAtYbNmwgNzeXY8eOMWLECCIiIsT7eqddGh8fT1FRES+88ALOzs7AbYff2bNn2bFjBwEBAURGRmJnZ8f58+eJi4tjzJgxuLu73//GSfxPbNy4Uaza+kOFdjr2CxsbGx5//HEefvhhNBoNAKWlpSQmJvL444+LYvOSbpFEd0DSKJK45wgD29GjR9m4cSNz5swhJiaGsLAwCgoKKCoqIjw8nIaGBpYvX054eLgobCsYPO+//z5xcXH4+fnx8MMP4+fnR35+PpWVlQwfPrxH6xRBu/Hk6+tLQUEBR48exd3dHRcXl047UtbW1mIY650LaxsbGx566CFGjBjBkCFDOol/S0h0NUJ/NjMzIzIykrNnz7J3716sra3x9PTs1Kf1ej0qlYqSkhLUajVhYWGSsSQh8RvlzvdeSE/y8PAgPDwcCwsLqqqqaGhoYM6cOQaVRHsiOp0OMzMzbGxsyMrKoqCgAD8/P+zs7Aw0cQ4ePEhCQkKnNjc0NHDw4EGysrLIzc1lz549GBkZ8Yc//AEXF5eualYnLR9hTBfsuJ606RcVFYVeryc1NZUjR45QXV2NqampQbS78KzOnj2LmZkZY8eORa1WG8xl9fX1ZGZmsm/fPsrLy2lrayMlJYWKigpx41Si+1NcXMznn3/OzJkzCQ8P/0mHp9AHLCwsDDRK33//fSwsLJg5c6aozSjZPRLdAclRJHFPEQbBqqoqNm7ciE6n44033gDaw8pv3bpFRkYGDg4OqFQqcnJyeOmll8Qwy7a2Nr766isyMzOZNWsWS5YswcfHh8DAQMzNzdm/fz99+vTp8bster0eCwsLvLy8yMzMJDU1lT59+uDs7Pxf5err9XrUarXkJJLo1uh0OlQqFdbW1uTl5VFYWIi/v78Yci0gGEZ9+vQRxR8lY0lCQgIQ03z0ej0mJiYEBAQwaNAgoqOjCQ8P7+rL+8UIY52LiwsODg6kpqZSXl7OwIEDMTU1Fb9nampKcHAw/fr1w9jYWLS7bGxssLW15fTp07S2tjJy5EieeOKJblcBrqeO6YKweFBQEEOHDqWmpoaMjAzy8/O5du2auLEntM/Hx4eIiAjRvu3Ybmtra7y9vdFoNOTn55OcnExFRQULFy6UhIx7EB9//DFqtZrHH38cKysr8XPhnSwuLub69euYmppiZGRkkDkg2PoZGRns3LmTOXPmEBoa2mPfD4kHE8lRJHFPEQa/1NRUYmNjWbZsGS4uLmJosbe3N4cPH6a4uJjx48czZMgQsaqDXq8nMzOTb7/9lrlz5zJ+/HiUSiUtLS0YGRkhl8vZv38/Q4YM6fGOImEisLOzw8rKioyMDKqrqwkPDzcwCH/ueSQkujNCP3VycsLHx4e0tDTy8vIICAgQI+Y6olarpb4tISHRCcF5LERtqNVqrK2tu/qy7hnCIrJ3797odDqSkpKorq4mICAAU1NTdDodFhYWuLi4YGxsDGCw+PT09GTKlClERUXx0EMP3XV8lfjfEOYknU6HpaUl0dHR+Pv7U1RURGZmpuig02g0YgrS3SqjCb9bWVnh5eVF3759cXV1xdvbm5kzZ97fRkn8zxw6dIjt27ezYMEC/P39O2UENDc3s3LlSvbs2UNraytWVlao1WpxI1j4989//jP9+vVj0qRJnSLPJCS6GslRJHHPKSkpYd26dXh4ePDEE08A7QOi4CyqqakhKyuLkSNHGghPXrt2jc8//5zevXvz5JNPinnfQghuSUkJhw4dIiQkBE9Pz/vfsF8JDw8PNBoN+/bt4/Tp0wQEBGBhYWEQai4h0dMRBD81Gg0ymYy0tDSqq6sJDg4WF0BSf5eQkPg5PKhjRcd2+fj4UFtbS2pqKqampvTv3/8H293RiaFQKET7SVp03nsExxy0b36MGzcOKysrsrOzxUq0CoUCR0dHMYrkh+Y3IyMjNBoN/v7+BAcH3++mSPyPaLVa3nrrLUJCQpg8efJdN3iFKL+KigqSkpI4c+YMSqUSS0tLjI2NkcvlbNq0iWPHjjFv3jx8fHzEv5OQ6C5IjiKJe0pzczM7d+7k6NGjvPPOO1hYWBikUgkRRwcPHsTLywtvb2+0Wi0KhYLs7Gzi4+N54YUXcHV17XTukydPkpWVxdNPP90looy/BoIRp9FoqK+vJzs7G5VKRUhIiDRZSDxQCJEAMpkMf39/dDodBw4coLGxkbCwsB6lUyEhISHxa6LX6zEyMiIkJISKigri4uJQKBT4+PgY2FN3crfIFYlfzp2OHmEuu3XrFnK5HB8fH2JiYmhtbSU1NZWcnBxqamowNzfHwcFBeg4PGJWVlZSWljJlyhR69+591+/I5XJ69epF//79cXFxobCwkMTERCorK7Gzs6OtrY2///3vjBkzhlGjRqFSqSTHrkS3Q3IUSdxTBCeQr68vo0ePNqhm0XHHKyEhAY1GI5YMBfj0009xc3Nj/PjxYkh1R1auXImbmxsTJ058YAZSoR3GxsZERERw+fJlYmNjaWtrw9/fv8dUApGQ+LkIBrenpydXr14lKSmJ1tZWAgMDUSgUkqEkISHxm0eIWjEyMsLR0ZETJ05w8uRJfH19cXR0lMbI+4xwv69cuYKxsTEtLS0olUpRN0uoTjtw4ECioqK4dOkSGRkZnDhxgvr6emxtbbG0tOziVkjcK8zNzQkPD8fV1fVH30WZTIa5uTkeHh70798fc3NzsrKySE9PJy0tTaxuLFTFk95rie6G5CiSuKcYGRkRFRVFeHj4D+Zmm5mZsWvXLtzc3AgLCwOgrKyMvXv3EhYWJn4GtyNusrOz2bFjB7Nnz+52wox3Ul9fT3l5uVi54OcgRF05Ojpy+vRpMjMzcXd3F7WYpMWzRE/kTmF2vV4v/q5SqfD29qaoqIijR4/i4uKCu7u71M8lJCR+E/xUum1HLcPAwECDwhdOTk6SXXCfqKurY9euXaxdu5Zt27YRHx/P+fPnuXnzJhqNBhMTE3Fe0+v1WFtbM2zYMLy8vCgoKODw4cP06tULPz+/Lm6JxL1CLpejUql+9vsnl8vFaq+DBw+mtLSUiooKpk+fTkREhLRJJtFtkWL9JX4VhMHubuWvGxsbMTc358qVK+LnCoWCxsZGsQqSVqsVz9PY2MiXX35JaGgogwYNuk8t+N9oaWkhNjaWlStX0tTU9LP/Togc8vDw4Pe//z0uLi6sWLGC/Px8QNplkOhZXLhwgfr6erFfX7hwgcrKSoN+rNfr0Wg0LF26FI1Gw7/+9S/S0tLE3VkJCQmJBwlB10ZALpej0+l+crzT6/W4u7szffp06uvr2bJlC9evXzfQypG4twjP5MyZM3z00Uds2LCBW7duERAQgJubG0eOHGHFihWsX7+empoa4PaGnvBMwsPDWb58OYsWLSImJgZo3zyBdhu3oaFBen49iHvxrNRqNb1796aurg5fX18GDBggVi2W7HyJ7ojkKJK4r8hkMlG4tmM1Dr1eT2trK7W1tQAolUqgXeB69erVNDU1MXPmzG6vTVRSUsKOHTvo168fpqam3Lp1i5s3b4rGAdyebO6cdHQ6HW1tbTg7OzNr1ixaW1v58ssvOXfunHhcQqI70rFPFxQU8Pbbb7N7926g/R1et24dr7zyisF7IBhFbm5uzJ49G51Ox7Zt27h69aqkVyQhIfHAIYx5cXFxrFy5kvLycuRyuVjs44cWojKZDIVCwbhx43juuec4ffo0H3/8MXV1ddLi8ldCmIM+/fRTysvLWbJkCf/4xz/4/e9/zx/+8Af+/e9/M2TIEBISEti5cyfQucKZEDE2adIkzMzMDKQYMjMzWblypcGGqUT3RrDBMzMzKS8vN/js5yDYP0lJSZSXlzNmzJgf1DeSkOguSNa4xH3n6tWrtLS0cOvWLfEzFxcXPDw8iI2NJSMjg7q6Oi5evMjKlSvZv38/CxcuxN/fvwuv+qe5ceMGcXFxGBsbM3fuXADOnTvHJ598QklJCWCYQiYYhfv37+fatWvI5XLRiIiOjuapp56iqqqKDRs20NTUJC2eJbotQp9OT09nxYoVyOVyIiMjgXYR+pycHGbNmoVCoTBwFgkMGTKEV199lQsXLvDuu++KRpiEhITEg0RmZiYrVqwgNjaWpUuX8umnn9LY2IhCoRCLfdwNYUEaFRXFmDFjyMvLY+vWreL3pciUe4dwr3fs2EF5eTmPPPIIMTEx4jwnVDRbvHgx4eHh7N69m+PHj3c6z502m2DfXbp0iV27dlFYWIhGo/mVWyNxr1AoFFy/fp3333+fffv2AYgaVT+FXq8Xn//q1asZMmQIQUFB4jEJie6KpFEkcd/RarXs27eP0NBQ+vfvz61bt1AoFFhYWJCZmUlWVhYJCQn85z//obGxkRkzZjBp0qRuvXOm1+vJz8/nu+++Y9GiRXh7e1NfX8/WrVs5dOgQzz33HADLly/H2toaGxsbFAoFxcXFvPvuu9ja2uLr6yuGLctkMrEiXGJiIlVVVQQEBNy1BKeERFcjiFJ/9tlnWFpa8tprr+Hl5UVVVRXr169HLpfzu9/9Drh7OqpMJsPOzo7m5maysrJoaWkxELqXkJCQ6Ok0Njby0Ucf4ePjw8yZM5HL5Rw8eJC9e/dibm5uUNHsblW2oL3wRUhICBcvXiQ5ORlTU1P8/Py6tX3U05DJZLS0tPDtt99iZWXF448/jrm5uThXCfdapVKh0WhITEwUq1v9EMLfarVaUlJSOHDgAG+99ZbkKOphmJiYcPnyZfbv3y+mIv4cO0Wn0yGXy/nmm284e/Ysc+fOxcvLC5BSziS6N0ZdfQESvz2MjY1ZuHAhPj4+QLsANrRH0djb25OUlER1dTV9+/Zl5MiRODg4dOXl/iyuXLnCjh078PLyYtSoUej1egoLCzl48CBLliwBYM+ePaSmpjJ8+HBxYlmxYgW+vr6EhobeteTtlClTuHTpEunp6fTt25cpU6bc/8ZJSHTg6NGjqNVqTE1N0ev15OTkEB8fz5UrV4iJiWHKlCm4urrS2tpKdnY2p06dQtiPEIyljj8L/d3MzIynnnqK5uZmkpOTGTx4MOHh4V3VTAkJCYl7SmxsLNXV1SxduhQ/Pz8iIiIICgoiPj6eL774gkOHDjFv3jzRYXQ3cVudTodKpWL27NlUVVWxZs0aLCwsGDlypLTgvIe0tLRQX1+Pl5cXDg4OBnMX3Hb8ODo6YmxsTElJiUFq2Z0Iz6akpIS9e/cSERFBQEDAfWmLxL1l2rRplJWVsX37dtzd3Rk2bNiPfl/oF8I64eGHHxaFzSUBa4nujuQokrjvmJmZMWrUqLse8/Pzw8/Pz2DC7e5hmbdu3eLIkSMUFBTwwQcfAFBTU8Pu3btxd3dn1KhRtLW18d133zFq1CgxJzklJYWzZ8/y4osv4ubm1um8er0eS0tLXnjhBW7cuEFBQQHjxo0The8kJO43ra2trFmzhosXL2JlZcW1a9cwMzPD39+fZ599loEDB4rfLSsrEyMHQ0NDgfZookuXLuHs7Nwpskh45ydPnoytrS2enp73tW0SEhISvxaXL1/mP//5D2PHjhVtALVazYQJEwgICGDv3r2kpaXx4YcfMnnyZEaPHo2ZmZn498L4WFtbi729PW5ubjzzzDN88MEHfPfdd/j7+4sltiV+OUqlkoaGhh+s3itEf6tUKtRqNRYWFj9YuUr47ObNm6SmplJTU8OHH35439oicW9xd3fnlVde4f3332fVqlXY2tr+aDSZYOusXLkSR0dHoqOjxXdbchJJdHck0ROJbodOpzPYlenuA+nFixfZsWMHQ4cOxc/PD61WS25uLsePHxdTzr788ktUKhUjR47E2toaaM9TjoyMJCQkpFP1kra2NvEzMzMzFixYwIwZMyQnkUSXIpPJGD16tOjE/Mc//sHy5cv54x//aOAkamxsJD09ncrKShYvXgxAZWUlX3zxBR9++CHfffcdFy9eNDi38M67u7vzyCOPiBUQJSQkJHo6W7ZswdjYmHHjxokp5IIWjoeHB0uWLOHZZ59Fr9fzzTffsGnTJiorK4HbTqLy8nKeeuopcnNzAfD39+eZZ57B1taW6urqrmnYA4qpqSkBAQHk5uZSXV0t6kcJdppgo50/f56rV6/i7e0N3N1eFT4rLCxk//79zJgxw6CYi0TPQqfT4erqypNPPklTUxOffPKJWHTmTo0xwUmYn5/PkSNHmDRpEn369OmKy5aQ+J+QHEUS3Y6eJNospMnU1taycOFCoF2ocMeOHQwZMoS+ffty6dIl4uLimDx5Mu7u7gCsXbuWlpYWxowZg52dHYCYvw50Cl/29PQUU/UkJLoKpVLJ/2fvzuOiPM/9j39mGHZkFWRTEEQUREXZXBEx7hq3LCfRpFlMTtMmPU23nJNX+zN5Nec0zdKT5DQabBMTNSYa44oaQVF2XBGjqIgYt+CCKAooMDO/P+xMJJq0TY2A+b7/CfI8Mz53nGfmnuu+ruueOnUqycnJmM1mgoKC8Pf3v+H1evDgQTZu3MjEiRMJDAzkypUrFBcXs27dOs6fP8/SpUuZN28eJ06caPU4q9WK1Wq173ooItLRHThwgE2bNjF16tRWWT/Xl+ECpKWl8cYbbzB06FBWrVrF2rVrga/mA/Pnz6dr1654eXnZnyMpKYnHH3/c3hhXbp3Ro0fT1NTEO++8Q21trb3hOGDfmGH+/PmEhITYA0XQOgve9nNNTQ0bN25stdmJdEy2+zY5OZnHH3+cc+fOsXjxYntT+uvZXi87d+6kb9++xMfHYzKZ2n2lhIiNSs9E/gWHDx9mw4YNzJgxAx8fHxoaGsjNzeXMmTO88sorALz99ttERkaSlJSEm5sbNTU1fPrpp0ycOJGePXsC1yYRZWVllJaWAjBt2jTCwsLafTaV/LDYVrb79+/Ptm3bOHz4MP369QO+WjmrqakhKysLo9FoD54eO3aMNWvWMGHCBJ544gnefvttsrKyuHr1KnDt9d/U1ERQUFCbjU1E5FYzm80sXLiQyMhIBg8e3OqLpK3vTWNjI+7u7gC4u7vz7LPP0rVr11bBh+LiYsrKynjqqafsGQkWiwWTyWTvdyK31sCBA5k8eTKffvop//mf/8nYsWMZMWIEly9fpqKigszMTE6dOsUjjzxiX8i7vvTM9nlp2+ykuLiYn//85205JLlFbP/OY8aMoba2liVLlvDmm2/aM/y+3tNq0qRJGI1Ge6a05vbSUShQJPId1dXVkZmZiYeHB/fffz8AR44cYd26dcyYMYNOnTpRWlrK3r17mT59uv1L8DvvvEPnzp0ZPnw4np6e1NXV8cc//pEDBw7Yy83q6ur41a9+1apHgUhbs33JiY2NxWAwUF1dTb9+/VpNikpLS9m1axf33HMPDg4O1NXVkZOTQ319PQ8//DBwLXAUHR2Nr68vV69e5dNPP2XTpk0sWLAAFxeXNhufiMitlJeXx759+3juuefw9fVtdcxoNHL58mUyMjLw8fFh2rRp9myhu+++u1Wp+V/+8hcGDhxo3/jCarV2qOzrjshoNPLQQw8RHR3N3Llzee+991iwYIE9G8TDw4Onn36ahIQEAPbv309lZSXx8fGEhobaPy+PHTtGZmYmUVFRjBgxoq2GI7fQ9YGecePGcfToUYqKioiOjmbq1Kk33JsdYVMekZtRoEjkO7BarZSVlVFUVMRvf/tb4FpWxIYNG3BxceGBBx4ArgWFAFauXElDQwPR0dGUlJTYV6AuXLjAq6++yunTp/nRj37E2LFjycjIYPPmzZw/f16BImmXXFxcMBqNXLp0Cfhq0nT8+HFyc3NpbGxk/fr1uLi44OPjQ1ZWFjNnzsTZ2ZktW7ZQXl7Ob37zG3x8fNi/fz9btmxh3LhxChKJyB3j8uXLfPjhhwwZMoS4uLibZhFcuHCB2tpatm7dSklJCZMmTWLChAk4OTnZM1KWLVvGhQsXePzxx+1fOJWRcHsYDAZSUlIYMGAABQUFHD9+nIsXLxIVFUV0dHSrfjNZWVls3ryZ2NhY0tLSGDRoEB4eHuzYsYPKykpef/31NhyJ/LP+0R3JvLy8+PnPf05zczMLFizAYDAwYcIEldDLHUGBIpHvwGAwsHPnThwdHe2rhFVVVeTl5fHLX/4SgOXLl3P27FlmzpzJyZMnycnJYf369fTt25ehQ4dSX1/PwoULKS8v5/nnnycuLg5HR0fCw8NxdHS0l+WItCdWqxVXV1dMJpN9xdTWX2vbtm2UlpYyadIkKisrmT9/PgDBwcFMmTIFgPfee4+hQ4fSv39/6uvryczMxMHBwZ5tJCJyJ1i9ejV1dXVMnjzZXlr2daGhofz6179mzZo1ZGdnk5GRQV5eHtOnTycxMRGAjz76iPT0dGJjYwFtqd0WnJycSEtL+9ZzfvzjHxMUFMSKFSs4ePAgn3/+OV27dmXt2rUMHz6cyMjI23S18l1t2bKFkJAQoqKi7PfY9ffb5cuXcXV1vaGE1NnZmenTp1NVVcXy5cuJioqy368iHZkCRSLfgdlsxmKx0NTUxP/8z/+QnJxMeXk5vXv3ZtiwYdTX1/PRRx8xfvx4Jk+ejLOzM1arlR07djBq1Cg6d+7M+vXrycnJ4cEHH2TAgAH2521sbMTBweEbJ5YibclWctbS0oKzs7P995WVlaxfv54hQ4bw+OOPU1FRwdKlS9m2bZt997+FCxfS1NTEhAkTcHNzo6CggPz8fJ599tm2Go6IyC134sQJ1qxZw/jx4//uLkedOnXigQceYMiQIaxYsYKioiJefvll0tLSOH/+PJ06dWLEiBF06tQJUDZRe3CzYJ2TkxP33nsvw4cPZ+nSpWzatAkANzc3++6f0n4dOHCAP/3pT0RERDBy5EgSExMJDAy0/ztXV1ezZMkSevTowYQJE+zlZbb/xsTE8Pzzz/M///M/vPLKK/z6178mJiamzcYjciuowFnkO3BwcODnP/85zzzzDI2NjaxevZqKigri4+MBeP/99/H09GTo0KH2L9Pbt28nPj6exMREqqqqWLduHREREUyfPh24NvFoaWlh9+7dxMTEEBgY2GbjE/k258+fB7D307h06RJbt26lpqbG3sC6U6dOVFdXM2DAAOLi4rh48SIrVqxg3LhxREdHc+7cOVatWkVUVBSpqaltNhYRkVvt008/xWQyMWrUqFa9hmw7nFVXV1NVVUVLS4v9WFhYGP/xH//BL37xC/r27cvGjRspLS1lwoQJ9mwU7ZbUPnxbsC4wMJBnnnmGl19+mUmTJvGzn/1MC38dQK9evXjmmWdoamriL3/5CxkZGeTm5tpL7Hfu3MmOHTtoaWm5aX8wi8VCeHg4d999N7W1tSxevJhz587Zj4l0RMooEvkObL0D0tPTSU1NZfHixXz66ad89NFHlJSUUFlZyWOPPUa3bt2Aa72KrFYrY8eOxdXVlfz8fE6ePMmLL74IQFNTE05OThw+fJgDBw4ow0LatRMnTmA2m4mLiwOuNfHctGkT06ZNo3PnztTX17N161aOHTvG888/D1zb/S8gIICRI0diNBopLCzk4MGD6tsgIncUs9lM7969GTp0KF26dGl1zGg02ndCO3bsGMOGDWPQoEF07drVfk5SUhJJSUk88sgjdOvWjYSEBPuCk7KJOo5evXppR7oOJj09ncTERDIzM1m1ahX79u0jLS2N8PBw8vLyiIiIYOrUqQA37Gxm+3nSpEm0tLSwYMEC3n33XZ555hn1X5QOSxlFIt+BrT7ZbDZjMpl4+OGHeeedd0hMTKSyspL09HQGDhyIi4sL1dXVrFu3jrFjx9KzZ09Onz5Nfn4+/fv3p0+fPlitVvuK46JFiwgPD6dv375tOTwR4JtXr11cXEhNTcVkMlFTU0NWVhZubm7MmjULuLbLy9q1a5k4cSKBgYHs37+f4uJipkyZQmhoKEePHmXVqlWMGDFCfRtE5I7i4ODAyJEjGTBgQKteJtcfHzVqFEajkcWLF/P222+zadMmampq7Ofk5+dz/vx5hg8fTnh4+G28erlVlEXSMXl6evJv//ZvvPLKKyQlJbF+/XoyMjI4evQogwYNsp9n233werZ/8zFjxjBy5EgKCgpYvHgxzc3Nt3UMIreKMopE/gUODg5YLBasViuBgYH813/9F0ePHiUoKMi+Ajh37lxCQ0MZPHiwPWuourqan/3sZwC0tLTg6OhIcXEx+/fvZ/bs2fj4+LTlsOQHrqGhATc3t5s2cwSYOHGi/eeCggK2b99uz4Krra1l8+bNmM1mZs+eDcC8efOIi4sjOTmZ5uZmsrOzuXDhAk8++eRtHJWIyO1xswDR9eLj44mMjCQnJ4cVK1bw9ttvk5KSwqhRo4iJiWH+/PmkpKTQv39/DAaDGlh3QDcrT5KOo2vXrvziF78gPT2d5cuXU1ZWxtatWzEYDCQkJODv73/DHMn2b+7m5sZjjz1GXV0dq1evJjw8nPT09LYcjsh3okCRyD/pm9JNbeVo4eHhmM1mAHbt2kVpaSlPPPGEfVUwPz+f8PBwe6q5o6P1FwxWAAAgAElEQVQjjY2NZGRkEBsbq34t0qaam5t5/fXXSUpKYuDAgfj5+d3wBcV2D1RVVbF+/Xp69eplf90eOnSIjRs38tRTTwGwYcMGTpw4wXPPPYe3tzdlZWVs3LiR+++/Hzc3t9s+PhGR78vX5wffxtPTk7vvvpvExERWr17Nxo0bKS8vx8vLi5aWFkaPHo2fnx+gkjORttK/f3+io6PJzc1l6dKlvPPOO+zevZu0tDT69u2Lu7v7TedIHh4ePPLII5w5c4bS0lKGDx+Oo6NjG41C5LtRoEjkH3D95O+bJoG2FUSr1Wr/OSMjg759+zJw4EAcHR2pq6vj3LlzeHp62ncwuXjxIu+++y5Xr17lvvvus/9epC0cP36cPXv2UFpaSlJSEmlpacTGxtqDOlar1d5n4/PPP6eyspLXXnvN/vguXbowdOhQxowZA8CSJUvsPTeuXLnCmjVr8PT05J577mmT8YmI3Eo5OTkEBwcTHR1tnx/8MxlAwcHBPPbYY4wePZq//vWvfP7550ydOpXo6Oh/+rlE5NZzdXVlzJgxJCQksHr1ajIzM9m3bx8jRoxg0KBBxMTE3HQBOTQ0lJ/85CcYDAYFiaRDcpgzZ86ctr4IkfbOYDDQ0NDAokWLaGpqIjQ09BvPtQWVVqxYQUlJCQ899BC9e/cGwNnZma1bt1JbW8vIkSNpbGxkyZIlZGdn89RTT5GUlKQJobQpHx8fxo8fj9FoZPPmzWzfvp36+nrc3Nzw8fFp9UWopaWF6OhokpKSsFgsGAwGvL29GTJkCADl5eVs3rwZq9WKm5sbR44cYeXKlfzsZz/71ntIRKQjqKys5IUXXmD//v1cuXIFPz8/PDw87OVi8I9lAxmNRnx9fSkqKsJoNDJt2jRCQkL+4ceLyD/uZsHXvxeQtc1j4uPjSUhI4Ny5c2zevJkDBw6Qnp7+jYGgzp0707lz51t6/SK3iwJFIv+gN998k88++4y8vDxKS0sJCgoiICAAwP4lGa5N+FpaWnj99dfp378/48aNw8XFBbPZjMFgoLS0lL1795KXl8eaNWs4evQoU6dOZfLkyZoQSrvg5OREXFwcgwcP5uzZs2RlZVFeXk5LSwuenp54enpiNBoJCAggIiLC/ro1GAyt7gU/Pz9aWlrIz8+nqKiI7du307dvXx566KG2HJ6IyC3h6+uLv78/e/bsoaioiKqqKgwGAwEBATg5Od3wnngzZrMZo9HI/v37+eCDD5g+fTopKSl/t8+RiHw3tvtx586dODs7t+rJ+HW2+7elpcV+T/r4+DBo0CDCw8Pp1q0bsbGx9vsY4OzZs1y+fBkPDw9lBEqHpkCRyD9g+/btLFy4kHvvvZeYmBgOHjzI6tWrOXv2LL1797ZvfWn7oLhy5Qrdu3cnJSXFHkwyGo0YDAaio6O5ePEip06dIjw8nIcffti+A4pIW6qtrWXnzp0EBQXh4OCAp6cnQ4YMoVevXhw4cIDNmzdz7NgxjEYjnp6euLq63tBo9foJkcFgIC4ujtTUVC5dukSXLl34yU9+ot5EInLHiIiIYNy4cVitVvLy8ti2bRtnzpzB1dWVwMBA+2f7NwWMbMdffPFFgoODmTp1Kt7e3rd1DCI/NMXFxbz00ktcuHABHx+fm/ZjhGvzmMbGRj766CMuXbpESEgIRqMRo9FI165d6dmzJ/BVWf7Zs2dZtGgR+/btIyUlRUEi6dAUKBL5O65evcprr71GREQETz75JP369SMiIgKj0ciWLVtYv349Xl5eREZG2id8jo6OBAcH4+np2eq5LBYL7u7uJCcnM3r0aFJTU+nWrZuCRNIu5Ofn88Ybb7B9+3b8/f0JDg4GICgoiJEjR9pLI2xbN7u4uODj42NPuf76ypnFYsFiseDl5cXgwYNJSEjAy8urTcYmIvJ9sFgsmEwm+vbtS1paGmfPniU/P5/S0lIuXLiAt7c3Pj4+N91F0ra4tHHjRnJycpg5cyZxcXFtORyRHwRvb28uXbpEXl4eR44coUuXLjQ1NeHi4sK5c+dobm5m165drF27lr/85S/s2rWLwMBABgwYcNPnMxqNWCwWCgsLWbZsGTNmzKBbt263eVQit5bBaiuiFpGbWrNmDQsWLOB3v/sdcXFx9qBOXV0dxcXFrF+/niNHjpCcnMysWbPsu5lB6ybYjY2NuLq6tnruf2aHFJHv29mzZyksLCQrK4vjx4+TkpLCzJkzW72mL168yPLly8nMzMTDw4P09HQGDx5sD57CjQEj246AIiJ3quvf5/bu3cu7777LkSNHCAsLIz09naFDh9p3Mbu+f5HVamXatGkkJyfz5JNP4uPjo3IVkdugubmZ/Px83n//fRoaGvD29qaxsRGLxcLly5eBa42sBw4cyKhRo4iIiMDLy+sb5+7Hjh3j9ddfx8XFhT/84Q+3ezgit5wyikS+RU1NDa+99hqpqamMGjUKR0dHe/q4s7MzkZGR9OzZkytXrrBz50727duHh4cHwcHB9tUFo9HI3Llzyc/PZ8CAAa0a3mkiKO2Ju7s7UVFRREVF4eXlRW5uLhs3buTq1at0794dZ2dnXFxciI+PJykpiZMnT5Kdnc2hQ4ewWCx4enraG7nCVwEjBUNF5E50fV8So9FIc3MzBoOBwMBAxo4di4+PDyUlJZSUlHDs2DEcHBwIDAzEZDLZ3ydPnjyJ0WgkLS2NsLAwQHMDkdvBwcGB4OBgOnXqxI4dO7h06RLJycnExcUxatQopk2bxgMPPMDIkSMJCgrC2dkZg8HQ6v60zXOuXr1KVlYWeXl5/Pa3v1X5qNwRFCgS+RYLFy7kxIkTzJ49275rwddTxm1N7dzc3CgsLKSgoICBAwfi5+eH0Wjk9OnT/OlPf6Jv37707dtXW2RKu2WxWHBwcKBz587ExsZSWFjI5cuX2bt3L7m5ubi5uREeHm5/3Q8fPpyIiAjKysrYvHkzp06dwmQy4e3tbZ9QaWVcRO4kXy8da2lpoaamBg8PDxwcHDAYDDQ3N+Pg4ECPHj0YN24cTU1NbN26lR07dnD27Fnc3d3t/Qs9PT3p1asXwcHBes8Uuc1MJhM9evTA39+fHTt20KNHD5544gkiIiLw9/e39yCFmwdwbb87ePAgH3zwAYMHD2bs2LG37fpFvk8KFIl8g4qKCubNm8d9991HYmLiDVkRX/9zz549SUhI4OLFi4wdO9aegv7KK69gMpl44IEH7BNDkfbm66nUhYWFrF+/nieffJLk5GTOnj1LZmYmpaWlBAYG0qVLFwBCQ0MZOXIknTp1Ii8vj8LCQi5cuICrqys+Pj6YTKa2GpKIyC1nCwTl5OTw/vvvs3TpUrZu3Up+fj5ubm5069YNBwcHrFYrFosFJycnBgwYwLBhwzh16hQFBQXs2bOHS5cu4e3tjZeXlzKNRdqIrUogODiYEydOsHXrVhITE/H19f27j7UFdevq6li5ciWHDx/mpZde0rxH7hgKFInchMVi4a233sLV1ZWZM2fi4eFxwznFxcUsWbKEwMBA+weKt7c3KSkp9g+JXbt28fHHH3P//feTkJCgEhxpt1paWrh69SrHjx/H0dGR1157jf79+zNr1iwiIiKIiIggICCA8vJyVq9eTW1tLV27dsXDwwOTyUSvXr1ITU2lvr6erKws9u3bx4ULFwgJCcHd3b2thycickvU19czb948Pv74YxoaGggKCsLV1ZXjx4+zZcsWzpw5Q58+fXB2dsZoNGK1WrFarXh5eZGammrfRbKgoIBDhw5hNpvx9/e37yIpIreP7Z4zmUxERkby2Wef2UvQvl5mBtx0l9edO3fy4Ycfqhm93HEUKBK5icLCQj799FMef/xxoqOjb/igsFgsfP7552zYsIG1a9dSU1NDTEwMTk5O9omhwWDghRdeICIigrvvvhtPT0+llEu7YXstWq1WTpw4wTvvvMOHH37I6tWrWbt2LbW1tURGRuLt7U3nzp3x8fGxv8YPHTrEvn37yM7Oxmw2ExERgaOjI25ubiQmJjJgwAAqKirIzc1lzJgxN+z+JyLSkdjeLy9fvszy5cvZsGEDo0eP5je/+Q2TJk1i1KhRREdHc+bMGUpKSggLCyM8PByg1ZfNq1evYrFYmDJlCl5eXhQWFlJcXMyXX36J0WgkKChIjf9F2oDZbMbT05MjR46wd+9ehg4dSqdOnextJmyZR7Z5k+094fTp0yxZsgSLxcKvf/3rth6GyC2lQJHI1zQ0NPDaa6/Ru3dv7r77bpydnW84x2AwEBkZSXBwMI2NjRQUFJCZmYnJZKJ3794YDAZWrVpFYWEhDz/8ML1797Y/TqS9MBgMFBQUkJGRweHDh+nduzfdu3e3Z8jt3buXXbt2UVtbS7du3XBzc2Pbtm0cOXKEe+65B3d3d9atW0dBQQGdOnUiLCwMg8GAn58f6enppKSk2Juzioh0VLbP7n379vH+++8zcuRIHn30UTp16mTvRxQQEEBycjLZ2dlUV1czaNAgnJycWj3PiRMnePnllzEYDEyePJkxY8ZQX1/P1q1bKSgooF+/fipRF2kDtox/k8nEpk2biIqKsvdkBMjKyuLy5cv4+fm16kWWn59PZmYmzz77LMHBwW05BJFbTkWUIl+zfv16ampq+OlPf3rTkjMbo9HIkCFDiIuLIzc3l6ysLBYsWMDGjRuZNWsWH374IampqcTGxgI3bhku0pYMBgM1NTVs2LABR0dH3nzzTQIDAwG4ePGiPYi0bNkyVq5cyfHjx4mOjqagoICEhARmzJjB2bNniYuLIysri9dff53s7GxmzpxJdHQ0AN27d2/LIYqI3BK2Hm579uwB4O6778bV1RXA3l+opaUFDw8P4uPjKSkpobGx8YY5xIEDB6iurmbEiBEAdOrUiaeeeorRo0ezYcMGoqKibt+gROQGtrLRqqoq+316+PBh5s2bh6+vL2lpaQwaNIiIiAhOnz5NZmYmffv2JSEhoW0vXOR7oIwikevU1NTw4osvMnbsWNLS0m7akK6qqgpHR0f7SqGzszM9e/YkLi4OJycnjhw5QlZWFoGBgdx7771069YNUDaRtD9HjhwhMzOTyZMnM2DAAPvKuIuLC87OzkRFRTFx4kQuXbpEbm4uhw4dwtHRkd/85jc4OTnh7u5Ojx496NmzJz4+PpSVlbF27VpOnjxJQkKCSihE5I5g+/yeP38+vr6+3HXXXa12Q4KvMhIqKyspKytjxIgRNzTEfeONNxgwYACpqamYzWZ7GYufnx9JSUlqgivShlpaWnBxcWHjxo0ApKamAuDr60vPnj2prKwkNzeXqqoq6uvr2blzJ7t372bOnDl06tSpLS9d5HuhTySR61gsFu655x5Gjhx505Kz8vJy5s2bR1BQEKNGjSI+Pt7+ZTg0NJRHHnmErl278n//93+kpqYSGRkJKJtI2hfb67GlpYW6ujp75s/Xm62bzWYcHBx48sknCQkJYdGiRbi5ueHi4kJLS4s9/To8PJzg4GD69OlDVlYWFy9ebLWLj4hIR3fp0iWMRiNXr17Fy8vrpuc0NTXZ3xv9/PyAa18+TSYThYWFnDhxgh//+McA9rmDLVikOYLI9+/r95ptngPXys7MZjPBwcF07dq11bH4+Hh69+7N5s2b+eSTT1iwYAEAkydPVsmZ3LEUKBK5jr+/Pw8++OA3TtjCwsKIiIhg8+bN7Nu3j+HDh5OWlkaPHj3s5+Tk5BAWFkZiYqI9NV0TQGlPrt/lw2QysXv3bmJiYm7IALr+z8OHD+fw4cPk5ORQWlraKs3aarXi5OREnz59CAsLUyaRiNxxOnXqRGhoKNu3b6eqquqmpbW1tbUcOHCAzp072xebbFlCn3zyCUlJSYSEhNzwOM0RRL4/VquV06dP4+/vb5+fNDc3A1+VjlZVVeHl5YWvry8vvPACFy5cuGEu4+Liwvjx40lOTmbLli1UV1fzox/96LaOReR2UumZyNd824TN0dGRlJQU+vbtS0VFBcXFxezfv5/GxkaioqIoLS1l2bJlPPjggwwYMECTP2nX/Pz8OHToEFu3biUkJISQkJAbsopsbKVo2dnZWCwWUlJS7MeuXxF3dnZWNpGI3JEaGhooLi4GIDY2ttV73blz51i7di35+fnU19eTl5eHi4sLkZGR5OXlsX37dkaPHk1MTExbXb7ID8KVK1coLS21Z/pkZmayYsUKvLy87L/bvn077733Hv379+fChQv87//+Lzk5OYwbNw7ghtLS67m5uRETE0NSUtI3zplE7gTKKBL5J1itVuDaBPHVV18lKyuLxYsXs3DhQsrKyqioqCAhIYH4+HiMRqPSyaVd+frr0Wg0Mnr0aHbv3s2SJUvw8PAgLi7uGyc+Hh4e+Pn5ceXKlValZ6AVcRG5840ePZojR46wfv16jh07xvjx43FxccFisbB8+XIOHjzIlClT8PX1ZdOmTfzf//0f2dnZmM1munbtSp8+fQCVo4t8n95++22OHj1Kr169qKurY/78+QAMHjwYuNZUfuXKlVitVry9vVm3bh2HDx/md7/7HdC6HO2b2Brci9zJlFEk8k8wGAwYDAYsFgsGg4HIyEhGjRqFm5sbWVlZ+Pr6MmPGDPuuT5oISntim9gUFBTQ3NyMr68voaGhdOvWjaKiIvLz8zGZTHTr1q3VSrnZbMZoNPLll1+Sk5NDcHAwgwYN0utbRH4wbMGdkJAQnJ2dKS8vJzs7m9zcXPLy8nBwcGDatGk8+OCD9OrVi8jISLy9vdm2bRsNDQ2kp6fbS3b13iny/Th8+DAZGRmMGTOGhIQE/vCHP2A2m2lsbCQ6OprIyEg++ugjTp48ybPPPktzczNvv/02PXr04IEHHsBqtf5DASDdw/JDoECRyHdg+4Bobm7G1dWVmJgYli1bRlpaGqmpqbi4uGjFUNodo9FIfX09zz77LLW1tSQnJ2MymQgICCA4OJgvv/ySrKwsdu7cicFgoKmpCXd3d5ydnTlx4gTr1q1j9+7d/PznP8fb29seQBIRudPZPs87depETEwMsbGxJCcn06NHD2bMmMF9991HfHw8cC247u/vT0BAAPv27cPb25uZM2fas480NxD5frz00kt4eHjw4x//mLKyMlasWMHMmTMpKytjwoQJ5Ofns3fvXiZPnszAgQNZunQpO3bs4IUXXsDDw6NVppDuVfmhU+mZyL/Alpr66quv4u3tzZAhQ+y7oejDRdobq9WKu7s7kyZNYs2aNXzwwQc8+uijODs7M3jwYIKCgigoKKCoqIh58+bh6uqKu7s7nTt35vjx41gsFu677z7CwsKwWCxqWi0iP0iOjo707NnzG4/b3ht3795NfX09EydOxNvbW+UqIt+jrVu3cvjwYZ5++mk8PT2ZN28eqampeHt7Exoaytq1a6msrGTatGmMGjWK/fv3s2HDBsaNG0dgYCC1tbVUV1fj6upKeHi47lX5wVOgSOQ7stUwV1RUkJ+fz0MPPURERASg/gPSPtlek1OnTqW6upq1a9fi6+vLlClTcHBwoHv37nTr1o1BgwZx9OhRdu/ezdGjR7FYLMTGxjJ+/Hj69evXxqMQEWkfbvZZbwsGHTt2jOLiYjp37syYMWMALSCJfJ/mzp3LwIEDGTVqFCtWrODSpUuMGzeOpqYmvvzyS6qqqpg2bRrjxo3jypUrZGZmYjAYmD17NnBt0ffgwYN06dKFkSNHMnLkSHx8fNp4VCJtR4Eike/ItmL4zjvvEBUVRVJSEk5OToAmg9K++fn58fjjj1NTU8Onn35Kt27dSExMBK69riMjI4mMjCQ9PZ3Lly/j4eHR6vH/aA2/iMid7Gaf9bb3xvz8fPv22SaT6R9qkCsi301xcTFOTk5MmjSJhoYGFi5cyJQpU+jZsycffPABV65cYeDAgTz88MMA5Obmkp+fzxNPPIGDgwPZ2dns27eP0aNHU1JSwsKFC7FarcyYMUOLv/KDpZm+yL8gKyuLiooKJkyYQNeuXdv6ckT+IVarlcDAQJ566ilcXFx4/fXX2blzJwAtLS32c6xWKx4eHvafbTRhEhH5Zrt372bXrl307NmTQYMGAShIJPI9io6O5oUXXiA+Pp6MjAz8/f256667aGxs5MCBA0RFRfHEE08AcOzYMTIzMwkNDWXChAkAvP/++6SmpvLUU0/x5ptv4uXlxZ49ewAoKSlh/vz5NDY2ttn4RNqCAkUi/wKLxcL48eOJi4sDaPVlWqS9sgV6oqKimDVrFleuXGHZsmXU1dVhMpns59jOu/5nERH5dhcuXKC+vp4pU6YA10rVReT74+PjQ/fu3amoqCAnJ4fp06fTpUsXe9+hAQMGEBgYyNWrV9m9ezeHDh1i1qxZALz33nuYzWbGjRuH2WymvLycCxcuMHnyZJqamvjkk08oKSnB1dW1jUcpcnup9EzkXzB69GhaWlrsW4nry7R0NCNGjMBsNvPWW2/x3//93zzzzDMEBwer6aqIyHeUlpZGQkICnTp1ApRNJHK7vPXWW/Tv359+/frZe4XV1NSQlpYGQGVlJbm5uVgsFpYuXcq5c+dYtWoV99xzD1FRUdTW1vLJJ5/Qp08fEhMTWbt2LRUVFbz66qttPDKR20/fAkT+BQaDwR4kEulobBlwSUlJpKenU15ezsaNGwEUJBIR+RfYgkQicnvs2LGD6upqxo8fT0BAAAAbN24kIiICLy8v6uvrKSwstO98BjB//nyio6MZMWIERqORgoICKioqeOqppzh37hwrV65k6NChREVFteXQRNqEvgmIiNyhLBbLtx63ZcB16tSJp59+mpEjR7JixQoWLVpEc3Pz7bhEERERkX+Zm5sbP/vZz+jTpw8Gg4GjR49SXV1Nr169cHNz49ChQ2zcuJEZM2bw8MMPM2LECEwmE3fddRfBwcF88cUXrFy5kjFjxhASEsKqVas4f/48P/7xj9t6aCJtQoEiEZE7yIYNG9i7dy/wVVbQ3wsY2fpn3H333YSFhbF8+XJKSkrsx9V7S0RERNqzmJgYBg0ahLu7O3CtzKy2tpb4+HiuXr3KunXrcHZ2ZubMmcC1bKM+ffowcOBAWlpa2LhxIw0NDcyePZuDBw+yYcMG7r333ht2fhX5oVCgSETkDlFRUcHcuXN58803+fDDDzlx4gRwLWD09Z3LAPsOHrb+GeHh4Tz33HOEhIQwd+5cSktLAfXeEhERkfbPtkDW0tJCaWkp3t7eJCUlUVhYyLZt2/jRj34EwNq1azl16hSTJ0/Gx8eH/fv389lnnzFr1iwcHR1Zvnw5Hh4e3H///W04GpG2pUCRiMgdIioqil/+8pc4Ojry8ccf88Ybb7Bhwwbq6ursO5fZsoc2b95MZmZmqxIzi8VCcHAw999/P01NTWRkZHD48GH7MREREZH24pvmJk1NTZSXlzNq1CjOnj3LqlWriIyMJD09HbPZzOLFi0lPT6dPnz5cunSJNWvWEBAQwMSJE8nPz6ekpITZs2ff5tGItC8Oc+bMmdPWFyEiIrdGWFgYY8eOxWQyUVRURElJCadOncLJyYkuXbpgMpm4ePEizz//PL6+vgwYMACT6doGmLbMoW7duuHp6cnWrVs5e/YsSUlJODk5teWwRERERMjJyeHq1at07tzZPm+xWq2tsp8dHR0ZP348ISEhbN68mdzcXP7zP/+Tzp07k5GRQXV1NY899hj+/v4UFRWxfPlyfvWrX+Ht7c1bb71Fly5dePTRR9tqiCLtggJFIiJ3GKPRSGxsLCNHjuTSpUvk5eWxa9cuzp8/j5+fHytXrqSmpoaHH36YwMDAVo+1TbZ69OhBc3Mz2dnZVFdXExMTg6uraxuNSERERH7oKisreeGFFzhw4ABXrlzBz88PDw8PDAaDvbzelj1tMpk4cuQIixYtIikpiYkTJ1JTU8Nrr73GlClTGDp0KKdPnyYjI4OePXty7733smrVKrZs2cLvfvc7vL2923i0Im1LgSIRkTvI1atX2b59O1euXCE0NJSUlBTi4+OpqqqiqKiI7du3s2/fPu666y7uuusu4Foza1tp2vUrcuHh4Zw5c4aCggL8/PyIjo5uq2GJiIjID5yvry9+fn6UlZVRVFREVVUVBoOBgIAAnJycMBgMWCwWHBwcaGpqYsOGDezatYuXXnoJJycn3NzciIuLo2/fvnh4eFBQUMCmTZv41a9+hYODA2+88QZDhw5l9OjRbT1UkTanQJGISAfW3NxMfX09JpMJo9HI3r17+fOf/wzAgAEDsFqt+Pv7M2rUKAIDA9m3bx+XL1+mubkZJycn/P39cXFxsU+urk/jdnFxIT4+noqKCi5evEhSUpK98bWIiIjI7RYZGcmYMWOwWCzk5+ezfft2Tp8+jaurK4GBga12fDWbzQwePJjIyEhaWlowGo0EBATYd0bLzs6moqKCmpoatmzZQnV1NS+99JK9JF/kh0yBIhGRDqywsJDly5cTEREBwIoVK6ioqOD555/H2dkZq9WKxWLBaDTSvXt3xowZg9FotO8AUl1djaurK126dGk1ubLtlObk5ER4eDi9evUiICCgLYcqIiIiP3AWiwVHR0f69evHsGHDOHfuHAUFBezZs4fa2lo8PT3x9fXFwcGBwMBAwsLCgK92RLter169uHDhAgUFBZw5c4bZs2fTq1ev2z0kkXbJYP36fskiItIhnDlzhrlz57Jv3z6WLFlCcXExr776Kvfffz/33XffDedf3+yxurqaDz74gIKCAry8vBgxYgQjRoywB5zgq4CRiIiISHtgm8tcP0fZs2cPr776Kk1NTQQFBZGWlsbgwYPx9/cHbj6fuf53X3zxBV988QXDhw+/vYMRaceUUSQi0kHl5OSwYcMGnn76aYKDg5k7dy4Gg4H/+q//AuD06dOUlZXZV9gcHR0xm81YrVY8PT0ZMmQIMTExHD16lIKCAsrLy2lqaqJz5864ubnZm0Ne38Fi2egAAB31SURBVLdIREREpK3Y5ia2zGeDwYDJZGLNmjX06tWLEydOUFJSwvHjx+1ZRY6OjgCtSuxtwSar1YqPj48980hErlGgSESkA6qsrOTjjz/G39+f2bNnk5mZSXZ2Nr/85S8JDg7mgw8+4K233mLLli3k5OSwZ88eoqKi8PX1xWg0YjabMRqNeHl5MWTIEMLCwigqKrJPrqxWK8HBwarTFxERkTZXVlZGVVUVoaGhrYI9VquVt99+mytXrjBnzhwmT57M1atXyc3NZefOnZw9exZ3d3cCAgLsj7MFjL6+iYeIfEWBIhGRDqapqYl169ZRVFTEc889R0tLC3/+85+JjY3l/vvvZ+7cuaxZs4bRo0czbtw4YmNj2bFjBzt27GDw4MH2be4NBgO///3vycvL47HHHmPs2LG0tLSQm5tLUVER/fv3V18iERERaVMHDhzgv//7v9m5cyd+fn6EhYXZgz2lpaUsXryYhx56iKioKFxcXBg4cCBDhgzh1KlTFBQUUFZWxqVLl/Dx8cHLy8seYAIUKBL5BloqFhHpYGylYsOHDycqKor58+dTU1PDyy+/zIYNGygpKWH69Ok89NBDwLWd0UwmExkZGXz55Zf4+PhgNBo5ceIEhw8fZsaMGTQ3N+Pm5sajjz5Keno62dnZREdHt/FIRURE5IessbGRRYsWYTQaMRqNLFq0iG7duhEeHo7ZbCYjI4OoqCiSk5MxmUz2AFC3bt343e9+x7Zt23j//fdZtmwZu3fvJj09ncGDB+Pt7d3GIxNp35RRJCLSwRiNRurr65k1axaVlZX89a9/Zfz48SQmJvKXv/yFgIAAnnjiCRwdHWlubsbR0RGTyUROTg4pKSkEBwcD8Omnn9LQ0MBdd91FYGAgFosFAG9vbwYMGICDg0NbDlNERER+4HJzc1m7di3PPvss/fv3Jzc3l3379jFw4EA8PDxwcXEhNTWVkJAQAFpaWlrNX0JCQhg/fjwuLi4UFRVRXFzMl19+idFoJCgoSHMdkW+g7WxERDoYHx8fHnnkEQBWrVqF0Whk5syZHDx4kC+++ILU1FRcXV0xm804OjpitVqpr6+3N7IGOH78uL3W35Y5pFp9ERERaS/Onz/Pxx9/zLBhw0hISGDo0KHce++9VFVVkZWVBcCoUaPo2bOn/TG2xtV79uyx/85gMDB16lTmzZvHXXfdRUlJCX/84x85ePDg7R2QSAei0jMRkQ6quLiY4uJiHnnkEVxcXDh69CgGg4GEhIRW5xkMBvbs2YOzs7P92MGDBzlz5gzjxo3DwcHhplvHioiIiLSVdevWUVdXx9SpU+2ZP9OmTePAgQOsWrWKQYMG0b17d4xGIxcvXuTYsWPs2rWLbdu20dTUxHPPPUdkZCRwrYG1t7c3P/3pT7nrrrvIysoiKiqqLYcn0q4pUCQi0gF9+eWXfPbZZ4SEhDBlyhTgWi+iq1evcuTIEfr164eDgwNms5kjR46wfv16GhoaeP311xk8eDC7d+/Gx8eHlJQUAAWJREREpN344osvWLNmDZMnTyYsLMy+nb3RaGTGjBl8/vnnvPvuuwQFBVFeXk5tbS0NDQ04OzsTGxvLkCFD7OVocG2eY8uqjo6OVh9Gkb9DgSIRkQ7IxcUFLy8vZs6caf9d3759AcjLy8Pf3x9/f3+KiopYsmQJPj4+9OzZk7y8PLZv305DQwMvvvgiAGazWTX6IiIi0i40NzezdOlS/Pz8GD16tH2OYgv2REdHk5KSwubNm6mqqqJnz57079+f6OhoIiMjCQoKuunz2srrrVarSu1F/g4FikREOhDbapqPjw+//e1vWx3r2bMnU6ZMYfXq1ezcuRODwcCFCxcICwvj97//Pe7u7mzYsIG5c+eSmJhIv379sFqtChKJiIhIu3H06FHy8/N56qmn8Pf3b3XMFuCZOnUqhYWFTJw4kfvvv/+fen4FiUT+PgWKRETaMduqV2NjI66urvYSMdtuZl8/75577iEiIoLi4mLMZjPJycn069cPd3d3APuEa8aMGa0eJyIiItIeeHh48Oyzz5KcnHzT42azmaCgIPz8/Ni5cyeTJ0/Gzc1NcxqRW0iBIhGRdsxgMFBdXc3HH3+Mj48PaWlpdO3a1b6bme0c28TIw8OD1NRUUlNTbwgm1dbW8v777zNo0CB69eoFqDeRiIiItC9BQUHfWD4G4ODggIODA8nJyaxatYqamhrc3NwUJBK5hfQNQUSknfvf//1fNm/ezPLly3n55ZdZuXIldXV19gCR1WrFbDYD0NjYSHNzM0CrYBLA1q1bOXXqVKu+RiIiIiIdUVJSEmazmZMnT7b1pYjccRQoEhFph2wBnpycHA4dOsRPfvITHnroIc6ePct7773HK6+8Ql5enj3N2tZnaM6cOXzyySf2wJFtde3UqVOsXLmSSZMmERoa2jaDEhEREbkFLBYL3bp1w8HBgcOHD7f15YjccVR6JiLSDhkMBpqbm1m4cCFJSUmkpKTg6elJeno6ixYtIisriyNHjtDQ0MCIESNwdnamuLiYAwcOMGzYsFbp12azmWXLltHU1MTUqVPbcFQiIiIi/zqj0YiTkxNBQUFUVFS09eWI3HGUUSQi0s7Ysok+/vhjGhoaGDduHJ6enlgsFry9vfnpT3/KL3/5Sy5fvkxZWRnOzs4AZGRkkJiYSHJysn0LWdvzdenShaeffhpPT882G5eIiIjIreLo6EjXrl2pqakBsGdTi8i/ThlFIiLtjMFg4MyZM6xcuZLx48cTFRXV6nhzczP19fUApKenA7BkyRLq6uoYPXq0fWczW1aRyWRiypQpuLi43MZRiIiIiHy/unTpwq5du2hoaMDNza2tL0fkjqGMIhGRdsSWBfTee+/h6+tLamqqfeJj26Hs2LFjrFq1iv79+zNgwADq6upYtmwZ6enpxMTEtHoeGwWJRERE5E7To0cPhg0bxpUrV9r6UkTuKMooEhFpRwwGA2VlZRQWFjJ79my6desGXEundnBwoKGhgby8PE6dOsX/+3//D4C5c+fi7e1NWloaHh4e9ucRERERuZMNGTKEYcOGtfVliNxxlFEkItLOvPvuu8TGxpKQkGDf4t62q9nBgwf57LPPmDhxIoGBgRw4cIDCwkLGjx9PZGQkcGM2kc2lS5e4fPnybRuHiIiIyPfJlm0tIreW7iwRkXbAFtzZsGEDX3zxBRMnTqRLly6tjp0/f57s7GwMBgOzZ88GYN68eURHR5OSkmIPKl2fTWR7bG1tLcuWLWPp0qW3c1giIiIiItLBKFAkItIOGAwGmpub+fDDD+29hgwGAxaLxb5aVlZWRkFBAbNmzQJg69atVFVVkZKSQmhoqP25rs8osgWNysrKWLVqFSEhIbdxVCIiIiIi0tEoUCQi0k7k5uZy8eJFAgIC8Pb2BsBisQBw4sQJ1q1bR9euXRk3bhwACxYsAGD37t0UFhZSW1uLwWCwB4dsAaNTp06xfv16wsLCGDNmzG0elYiIiIiIdCQKFImItBMeHh74+PiwePFiXnvtNU6ePInJdG3PgZKSEg4ePMiTTz4JwF//+lcuX75Meno6R48e5Y033mDRokWUlpbS1NQEfJWltG3bNsrLy+2PFRERERER+SYOc+bMmdPWFyEiIhAaGkpwcDCXLl2ipKSETZs20dLSQnNzM0uXLiU2Npbp06dz9uxZXn31VSZMmMCsWbMYPnw4DQ0NbNq0if379xMYGEhISAgGg4HKykoWLFhAnz59mD59elsPUURERERE2jlTW1+AiIhgb0KdlJRE//79yc7O5rPPPuOjjz6yn/OHP/wBgLlz5xIQEMDw4cPx8PDAw8ODf//3f2fYsGFs2bIFR0dHDAYDly9fJjc3l7Nnz/LHP/6xrYYmIiIiIiIdiAJFIiLtgK2vkMViwcnJifHjx5OYmMi6des4fvw4SUlJ+Pj4UFpays6dO3n00UcJDw+3P95kMtGvXz/i4uLsza/Ly8vJyspi+vTp+Pj4tMWwRERERESkg1GgSESkHTEajfYm1P7+/jz88MPU1dXh6ekJwPz584mJiSExMRFHR0cAzGYzDg4OwFcBp5qaGrKzs3F2drbvkiYiIiIiIvL3qJm1iEg7Y9u5zLbjmYeHBwDr16/n5MmTjB07luDgYOBayZotSGQ2mzEYDFitVkpLSykuLubRRx9tm0GIiIiIiEiHpECRiEg7ZTQasVgsGI1GzGYzixYtYvjw4fTp0weA4uJi3nvvPb744gsAe8Do2LFjZGZmEhUVxYgRI9rq8kVEREREpANS6ZmISDtm6zf05z//matXr5Keno6fnx8AmZmZlJWVsX//fkaMGMHw4cPx9PRk586dVFZW8vrrr7flpYuIiIiISAdksNqaYYiISLtkNpv58MMPcXZ2ZuLEibi5udmPrVmzho8++ojLly+TnJxMREQE69evp2/fvvziF79ow6sWEREREZGOSIEiEZEOwGKxYDab7Q2sbSVpABcvXmTJkiWsX78euNbTKCMjA3d39za7XhERERER6ZgUKBIR6cCsVqt9p7Njx46Rn59P7969iY+Pb+MrExERERGRjkiBIhGRO8D1ASMREREREZHvSrueiYjcAQwGAxaLpa0vQ0REREREOjhlFImIiIiIiIiICKCMIhERERERERER+RsFikREREREREREBFCgSERERERERERE/kaBIhERERERERERARQoEhERERERERGRv1GgSEREREREREREAAWKRERERERERETkbxQoEhERERERERERQIEiERERERERERH5GwWKREREREREREQEUKBIRERERERERET+RoEiEREREREREREBFCgSEREREREREZG/UaBIREREREREREQABYpERERERERERORvFCgSERERERERERFAgSIRERGR7112djZz5sxhx44dbX0pIiIiIt/K1NYXICIiInKnW7RoEe+//z4ACQkJbXw1IiIiIt9MGUUiIiIiIiIiIgIoUCQiIiIiIiIiIn+jQJGIiIiIiIiIiAAKFImIiMgPjMVi4ZNPPuG+++6je/fuuLm54eLigr+/P4MHD+YPf/hDq/NPnDjBiy++SFpaGlFRUXh5eeHs7ExoaChTpkxh7dq1N/174uLiMBgMGAwGe3+iF154wf47o9HI9u3bb/rYL7/8kl//+tfExMTg7u6Ol5cX/fv3Z86cOVy4cOEfGuPChQsZP348ISEhODs74+/vT1paGn/961+xWCwAdOnSBQ8Pj299rubmZt59913Gjx9P165dcXFxoXPnzgwcOJDf/va3HD9+/Fsfv3z5cgwGA08//TQAlZWV3Hvvvfj7++Pt7c1jjz1GUVERBoOBoKAg6uvrv/X5/uM//gODwcCcOXP+7v8HERER+ecZrFarta0vQkREROR22LdvHw8++CB79uwBwGAw4O3tjYuLC7W1tVy5coXY2Fg+//xzACoqKujTpw9NTU0AODk54ePjg9Fo5MyZM5jNZgCefvpp3nzzzVZ/17hx4ygvLwfg3Llz1NfX4+Xlhbe3NwBGo5FVq1YRFxfX6nFr165l5syZXLx4EQBfX18Azp8/D0BQUBDr1q2jf//+Nx3jhQsXmDBhAoWFhfYx+vn5YTabqa2tBSAlJYXVq1fTtWtXrl69yjdNBz///HPuu+8+9u/fD4CDgwP+/v7U1dXR0NAAgLu7O3/60/9v795jqq7/OI4/j5BgoKKCWgdSyUveG6KYzlQ0nLeJocMwL9R0/JXX1UbLMhv9kc6WW+V0Sub9EszLCjMvZIiIOrNE5g1NAUEOHRHhiPL9/YHn/CTO4RzBdKPX4y/4fj+f9+dzDv+w1z6XlcyZM8dpjeTkZOLj45k1axYfffQRgwcP5tatW7Rp0wZvb29CQkLIysrCbDZz8+ZNtm7dSmxsrNNaNpuNDh06YLVaOXnyJGFhYU7biYiISMNpRZGIiIj8J2RmZjJkyBDOnDlDjx49+P777ykpKcFisZCfn09FRQXnz59n9erVjj7FxcUEBwezfPlycnJyuHv3LoWFheTn52O1Wlm1ahXe3t6sWrWKffv21Rrvxx9/JC8vj7y8PKZMmQLUrIaxP7t8+XKdkOjIkSPExMRgtVqZM2cOV65coaSkhJKSEnJzcxk3bhwFBQWMGTOGoqIip59zypQpZGRk0Lx5cz799FMKCwspLi7GYrFw8eJFZs2aRWZmJiNGjHAEXc6cP3+eyMhIzp07R0hICJs2baKsrIyCggLKy8vJzs4mOjqa8vJy5s6dW+t7c2XGjBmYzWZOnjyJxWKhqKiIjIwMvLy8mDZtGgDbtm1z2X/v3r1YrVZ69eqlkEhEROTfYoiIiIg0cRaLxTCbzQZgREdHGxUVFR73ra6urvf9/PnzDcCYNGmSyzazZs0yAOPjjz922aaiosIIDQ01AGPJkiVO21RVVRmvv/66ARgJCQl13u/evdsADMDYsWOHy7EWLVrkaOfs38EHDx4YgwYNMgCjb9++RnFxsctaiYmJBmD4+PgYubm5dd6vX7/eAIzg4GAjMDDQZa2srCwDMHx9fY2ysjKnbd58800DMJKSklzOR0RERBpHK4pERESkyVu5ciU3btyga9eubNq0CV9fX4/7mkymet9PmjQJgOzs7EbNcfv27Vy+fJnQ0FA+/PBDp228vb1ZsWIFAJs2baKioqLWe/tZSKNHj3asYnImKSmJ0NBQl+/37NlDVlYWXl5ebNy4kcDAQJdtP/vsM8LDw7HZbCxbtsxlu+vXrzN//nyXtQYOHEi3bt2orKxk9+7ddd5brVb27duHyWRi+vTpLscRERGRxlFQJCIiIk3emjVrAPjggw94/vnnn2jtl156CajZptYY9i1XCxcupHnz5i7bhYeHYzabKSsrqxNOHTx4EIC4uLh6x2revDnvvvuuy/cbNmwAYNy4cfTr16/eWiaTiQULFgCwY8eOeg+jjo6OrreWPQBytv1s586d2Gw2hg0b5vjORURE5MlTUCQiIiJN2rlz5ygsLARg4sSJDapRVVXFwYMHWbZsGXFxcYwcOZL+/fvTo0cPhg8fDuA48LqhMjMzARg6dKjbti+//DKA45BpgMLCQsdh1QMHDnRbY8SIES7f/fbbb4D7YMdu4sSJeHl5YbPZXN7kFhAQQO/eveutYw+K0tLSuH37dq13mzdvBuDtt9/2aE4iIiLSMN7PegIiIiIi/6bLly8DNbeHdejQ4bH7p6SksGjRIq5cufKkp+ZQVlbmuNVswoQJeHvX/y/azZs3gZobzuzsYRhA586d3Y7ZvXt3p8/v3LnjqN+/f3+3dQBatmxJ165dyc3N5cKFC05DqPbt27ut07VrVyIiIjh+/DipqanMnDkTgIKCAg4fPoyPjw9Tp071aE4iIiLSMAqKREREpEmzXzPfsmXLx+67fv163nnnHQD8/f2ZNm0akZGR9O7dG7PZjL+/PwUFBXTp0qVRc3x09cyNGzc87vdooGTf8mUymfDz83Pbt3Xr1k6f278vgHbt2nk8F3tb+6qmfwoKCvKozvTp0zl+/Djbt293BEXbtm2jurqa8ePHExAQ4PGcRERE5PEpKBIREZEmzR6IuAowXLl58yYJCQlAzeHQmzdvdhp2NHbLGVDrTKKLFy86tpY9Dh8fHwAMw6Cqqqrec46AOgdh27Vo0cLxc2Vlpcfj2+u5OgPK3Sopu9jYWBYuXMj+/fv5+++/CQgIYMuWLYC2nYmIiDwNOqNIREREmjR76HL79m0uXrzocb/vvvuOe/fuERgYSEpKissVMbdu3Wr0HB9d3dPQQ7FfeOEFx89Xr1512/7ChQtOnwcEBDhCJ0/q2F27dq3OPBqiffv2vPHGG1RVVZGSksKlS5fIysqibdu2jB8/vlG1RURExD0FRSIiItKk9ezZk44dOwL/PxDZE7///jsAkydPxt/f32W706dPN26C1Kwosl9Xf+rUqQbVMJvNjtvAfvnlF7ft9+zZ4/R5s2bNCA8PByA9Pd2jsf/44w9KSkoAGDJkiEd96mNfObR9+3bH32zq1KluV0mJiIhI4ykoEhERkSYvPj4egC+//JL8/HyP+tiDj8DAwHrb7dq1y20tLy8vt21ee+01wPnV8J6yH/T81VdfUVVV5bKdxWLhm2++cfl+0qRJAGzYsMGjrXXr1q0DICIiotEriuzj+/n5ceDAAUdtbTsTERF5OhQUiYiISJO3YMECgoKCKC0tJTo62qPzikJCQgDXW7SgZuXOoUOH3NayH6Rtv9nMmRkzZgA1q3hSUlLc1nRm4cKF+Pv7k5OTw6JFi5y2sdlsxMXFUVRUBPz/bKNHxcfH4+/vz/Xr10lKSqp3zJycHL7++msA3nvvvQbN+5/8/PyYPHky9+/fJy8vjy5dujB06NAnUltERETqp6BIREREmrygoCA2btyIj48PJ06coF+/fiQnJ9e6bQzg0qVLZGZmAhAVFQXA3r17nW4vO3bsGLGxsfTs2ROz2Vzv+MHBwQAcOHCA6upqp22ioqIYPnw4ULN6pr6VSqdOnaKwsLDO8xdffJFvv/0Wk8nEqlWrGD9+PEePHuXu3btYLBZ27txJeHg4aWlpxMTEANCmTZs6dQIDA1m2bBkAS5cuJSkpiQcPHtRpl5GRwahRo7DZbAwbNoy33nqr3u/hcTy6giguLg6TyfTEaouIiIhrJsMwjGc9CREREZGn4ciRI8ycOdNx8LLJZCIwMBAfHx9KS0spLy+nT58+nD17FsMwiIiI4MSJEzz33HPExcURFhaGYRikp6eTmpqKr68vP/30EzNmzODq1avYbDan5+hkZmY6tpZFRkYyefJkysvLyczMZMuWLfj6+gLw119/ERkZ6Th0e/DgwYwdO5aOHTtSWlpKfn4+x44d48SJE/z888+MHj3a6efcunUrCQkJta66f9Ts2bOJjY1l7NixDB06lKNHjzptt3jxYlasWAFA9+7diYmJoVOnTlitVg4dOkRaWhqGYTBgwAD2799P27Zt69RITk4mPj6e4cOHc/jw4Xr+OrU9ePCA1q1bU15eTk5ODq+88orHfUVERKThFBSJiIjIf0pFRQXr1q0jNTWVP//8k+LiYgzDwN/fn5CQEMaMGcPy5cuBmhvNZs+ezb59++rUCQsLY82aNYSFhdG3b19yc3MpKSlxbDP7p4SEBFavXl3rWYsWLbBYLI6gyD5mYmIiycnJLs8Z6t+/Pz/88IPjAGxniouLWbt2LQcOHODGjRu0bNmSPn36MHPmTEaOHMnSpUv55JNPWLx4MV988YXLOikpKbz//vtOb4xr1aoV8+bNIzExsdZneNSuXbuYMmUKEyZMcHmAtjM5OTn06tWLAQMGkJ2d7XE/ERERaRwFRSIiIiJu5Obm8uuvv1JcXEy7du149dVXGTRo0GPXOX78OBkZGVRVVdGlSxdGjRrldBUOgNVqJT09nby8PMrKyggICKBjx45ERES43ermTmVlJT169ODatWucPHmSsLAwt31OnTrF6dOnKSoqolWrVoSGhhIZGen0jKMnITExkc8//5yVK1cyf/78f2UMERERqUtBkYiIiMh/iGEYzJ07l7Vr1xIVFUVaWtqznlIdFRUVdO7cmbKyMq5du+b25jkRERF5cnSYtYiIiEgTEh0dzZIlS8jOzqa8vNzx/P79+6SnpzNmzBjWrl1L+/btWbNmzTOcaW2VlZUA3Llzh3nz5lFUVER8fLxCIhERkadMK4pEREREmpB+/fpx9uxZx++tWrXCz8+PkpIS7t27B0Dv3r1JSUmhW7duz2qadbRr145mzZphsViorq4mODiY06dPKygSERF5yhQUiYiIiDQhZ86cITU1lYMHD5KTk0NpaSleXl4EBQURFhZGTEwM06dPx8vL61lPtZYBAwZw9uxZfH19iYqKYsWKFXTq1OlZT0tEROQ/R0GRiIiIiIiIiIgAOqNIREREREREREQeUlAkIiIiIiIiIiKAgiIREREREREREXlIQZGIiIiIiIiIiAAKikRERERERERE5CEFRSIiIiIiIiIiAigoEhERERERERGRhxQUiYiIiIiIiIgIoKBIREREREREREQeUlAkIiIiIiIiIiKAgiIREREREREREXlIQZGIiIiIiIiIiAAKikRERERERERE5CEFRSIiIiIiIiIiAigoEhERERERERGRhxQUiYiIiIiIiIgIoKBIREREREREREQeUlAkIiIiIiIiIiKAgiIREREREREREXnof4QpvpvAAmPjAAAAAElFTkSuQmCC\n"},"metadata":{"image/png":{"width":581,"height":514}}},{"output_type":"execute_result","data":{"text/plain":["<ggplot: (8785694608430)>"]},"metadata":{},"execution_count":38}],"source":["# 글씨가 겹쳐보이지 않도록 rotation도 추가했다.\n","(ggplot(petitions)\n"," + aes('category')\n"," + geom_bar(fill='green')\n"," + theme(text=element_text(family=font_family),\n","        axis_text_x=element_text(rotation=60))\n",")"]},{"cell_type":"markdown","metadata":{"id":"__3b0MP_P90H"},"source":["### 카테고리별 투표수"]},{"cell_type":"code","execution_count":39,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":490},"id":"q07poTXLP90R","outputId":"8c7c6330-b239-40ac-aab6-bd8c1877e252","executionInfo":{"status":"ok","timestamp":1672558828563,"user_tz":-540,"elapsed":31000,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAABTUAAAOOCAYAAADRVPYZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAewgAAHsIBbtB1PgAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeVjUVf//8ddnhl1kExA3UJQyc9fM28pUymyzUtNKy9zu1DZb/GaWZVlZudXdYpm2qNmuqaXmbamVZZnhdptmCe7KKiA7w/z+8GJ+EosDDDMMPB/XxSXMOZ/zeQ+cwuvl+ZxjWK1WqwAAAAAAAADATZhcXQAAAAAAAAAAVAahJgAAAAAAAAC3QqgJAAAAAAAAwK0QagIAAAAAAABwK4SaAAAAAAAAANwKoSYAAAAAAAAAt0KoCQAAAAAAAMCtEGoCAAAAAAAAcCuEmgAAAAAAAADcCqEmAAAAAAAAALdCqAkAAAAAAADArRBqAgAAAAAAAHArhJoAAAAAAAAA3AqhJgAAAAAAAAC3QqgJAAAAAAAAwK0QagIAAAAAAABwK4SaAAAAAAAAANwKoSYAAAAAAAAAt0KoCQAAgFJWrlwpwzDk5eWlo0ePOvXeWVlZOnnypCwWS4nXv/zySxmGoYCAABUWFjq1ptqoXbt2MgxDDz/88Hn7HjhwQK+//ro+/PBDu8c/c+aM5s+fr7feektZWVnl9nvmmWcUERGhK6+80u6xqyI3N1dnzpxx2Mc/51ddc/ToUUVERKhjx47avHmzq8sBAMDhCDUBAABQSlpamiSpoKBAZ86cceq9u3fvriZNmmj69OklXj99+rQkKTMzk1BTUmpqaok/K/Lpp5/q/vvv14gRI+wef/v27Zo4caImTJigHTt2lNsvPj5ep06d0v79++0euzL+85//qFGjRvL19VXDhg0d9nHnnXfWSL21xa+//qpTp05p9+7dslqtri4HAACH83B1AQAAAKi67OzsSoUWhmHI19dXMTEx8vX1reHqqiYnJ6fEn1WVm5urQ4cOOSzQMZlMCgsLU3BwsN3XJCcn66+//rK7v2EY8vHxUUxMjPz8/KpSZpmq8j049xpXhWKFhYWaMmVKtedCWSq7UvOvv/6qkTDdZDKpdevWMpvNDh13w4YNts87duzo0LEBAKgNCDUBAADc2Oeff66RI0dW+rqAgAB9++236t69u0PqSEhI0MyZM3XgwAHl5+eft79hGJo5c6Yuv/xyh9y/LC+//LKefvpph487atQovfvuu3b1feKJJ7RgwYJK3yM4OFiffPKJrr766kpfW5ekpaXZAs3Ro0dr+vTpMgzDIWOHhITY3ffHH3/UFVdc4ZD7luWLL77QoEGDHDZeWlqaFi9ebPt67dq1Gj58uMPGBwCgNiDUBAAAcGP+/v5Vui4jI0MLFixwWKj5wAMPaPXq1ZW65q+//qrRUDMgIKBGxn3vvff02GOP6cILL6yxGtLS0rRgwYJ6H2qeu5qyS5cuatGihUvq8PX1lclkUlFRkcPHNgzDoatypbNh+rn7oE6bNk233HKLw+8DAIArEWoCAAC4sUGDBlXq0eCMjAy1bNlSaWlpysjIcFgdf/zxhySpdevWuueee867ms4wDPXr189h9y/LpEmTNGnSJIeN98MPP6h3796SpP3799sVas6aNUuzZs2y+x6FhYXq2LGj/vjjD6WkpFS5Vkd79NFHFRQUVGbb7t27nVyN83Xr1q3U4+pt27bV/v37NWzYMH388cfnHeP111/X/fffL+lsaF3e97O6NmzYoLfeekuS1LVrV+3evVvx8fF64IEHtHDhwhq5JwAArkCoCQAAUI/4+/vbHudt3ry5w8YtKCiQdPaQn8mTJzts3NqkVatWts8rOg28Ojw8PGyrO2tiVaB0dp9Pe6Snp9s+/+WXX2qkFjjW3r17NXToUFmtVvn6+uqTTz7R559/rscff1yLFi1SZGSknnrqKVeXCQCAQxBqAgAA1CPx8fHKzc2VVDKkw/n5+PjYPq+pwNEZwsLCKn3N+PHjFRUVVWbbZ599pt9//726ZZ3XqVOntG/fPoeM5eHhodatWztsf87a4MCBAxowYIDS0tIkSW+++abatGmjxx57TDt27NAnn3yip59+WmlpaZo9e7bDDyYCAMDZCDUBAADqkeLHxCWpTZs2LqzE/Zz7+LHJZHJhJc43fPjwcvc/3bdvn1NCzeeee07PPfecw8aLi4tT586dHTaeK23dulU33nijbRXulClTdPfdd0s6u9XDBx98oOzsbK1evVqvvPKKdu7cqQ8//FBNmjRxYdUAAFRP/frbGAAAQD23adMmSZKnp6cuu+wy1xbjZopXuEqSl5eXCyupniNHjtj18emnn7q61BpjNptLrLx1V1arVXPnzlWfPn1sgeb//d//aebMmSX6eXt7a/ny5RozZowkaePGjbrooov01ltvufWqYwBA/UaoCQAAUI+sWbNGktSrV68qn5xeX517sJI7f++aN29u10dVHlOvSa+99pqsVqtDPgoLC9W2bVtXv6Vq2b17t/r166dHHnlEeXl58vb21ltvvaWXXnqpzP4eHh5auHCh5s+fLx8fH6Wnp2vChAlq3769Pv30UxUWFjr5HQAAUD08fg4AAODGzpw5o6ysLFksFuXl5SknJ0c5OTnKzs5Wdna2zpw5o/T0dKWlpen48eO2x8+vvfZaF1fufjIzM22fu3OoWRWPPfaYgoODy2zbuXOnk6up3/bv36+XXnpJH3zwgW2VZbt27fThhx/a9Tj9+PHjFRsbq3//+9/atGmT/vjjDw0bNkxNmzbVyJEjdfPNN+uSSy6pU/uNAgDqJkJNAAAANxYVFaXU1NRKXePl5WXbb8+ZLBaL0tPTlZubq6ZNm0qSFi5cqDNnzpTod+6KyNqkOis1i4Nmq9VaYb/CwkKlpKRIOruyrrb46aefXF1Cvbd9+3ZNnjxZGzdutL3m7++vJ554Qo888og8PT3tHismJkYbN27U6tWrNW3aNO3cuVPHjx/XzJkzNXPmTE2YMEFvvvlmTbwNAAAcpvb8TQkAAACV9s/VVD4+PvLx8ZG3t7f8/PzUoEED+fn5yWq1atu2bZKkYcOGqXHjxnbf48MPPyzVv3PnzmUeHLNy5UpFRETYvrZarSooKFBOTk6JPSmL9/8bN26c3XW42rnhcUhIiF3X7Nq1S7fddluJA5rsFRkZWelrasq4cePKrWf58uWKi4tzckX1z549e2yBZoMGDTRhwgQ99thjCg0NrfKYN954o2688UZt3LhRb731lr7++mtlZWWpf//+jiobAIAaQ6gJAADgxo4cOaLCwkJ5enrK29u73EdG7733Xm3btk2GYeihhx6q1D3KOnG6T58+JVaMFcvNzS0RXpbFy8tLZrNZvr6+io2NLbVSMy4uTvn5+ZWqsarefvttPf3004qIiNCOHTsq7HvixAlJZ4Pkc4PbisyePbtKgWbTpk01adKkSl9XnnNXfc6dO9e2UrYiGzZssH0+ZswYXXrppWX2++uvv2os1DSbzbbPf/75Z8XGxjrsseiGDRuqWbNmDhnLGUaMGKF169apW7duGjt2rIKCghw2dt++fdW3b1/l5OTot99+0xVXXOGwsQEAqCmEmgAAAG7M19f3vH127NihBQsWSJJGjRqlLl26VOoeF198camTostapSlJsbGxmj59eonXDMOQp6en/P39FRwcrEaNGtlODz83OCvWsmVLHTp0qFI1VlV8fLxOnTplWzlakePHj0uSQkND7X7U9+jRo5KkVq1aac2aNed9pNwwDPn6+qpJkyYO3dOwdevWts8feeSRSl1rNpvVqlUrh9VSGSEhIfL399eZM2e0bNkyLVu2zGFjh4aGKikpya6+x48fL7UtQnHwnpmZqX379p13jFOnTtk+P3DggBo2bGj72tfXV1FRURVebzab9dFHH9lVb1X5+voSaAIA3AahJgAAQB2Wl5enu+66S4WFhQoJCSn3ZOSKfP7553afFB0aGlpu4Onuildq2rPKsVjxQS7h4eEuPW37lltu0UMPPaRNmzYpJyfnvHt7SpLJZFKjRo00evRohYeHO6HK0sxms+bNm6cZM2bo6NGjtu+nI/j5+dndNzo6Wnl5eWW2rVmzRmvWrKnUvXv06FHqtdOnTyswMLBS4wAAUJ8RagIAANRh48eP1+7duyVJ8+bNq9b+e/XdsWPHJNWuvS7t5eHhoblz59bI2MX7i9q7z2hljR07VmPHjq2Rse3l7+9fbqjpCL6+viUetQcAAOdncnUBAAAAqBkzZ87U+++/L0maMGGC7rrrLtcW5Ob++usvSdKFF17o4kpql7lz58pqtWrv3r2uLqXGJCcny2q1lvhYsmSJrT0+Pr5U+z8/ildhPvLII6XasrOz5e/v76q3BwCAWyLUBAAAqINeeeUVTZ06VZLUq1cvvfrqqy6uyL2dOXPG9vi5Kx8jR/3TqFEjGYbhkg9PT0/t2bPH1d8CAADKRKgJAABQxzz55JO2E847d+6sVatW2X2wDcq2Y8cO2z6UdWGlZmZmpvz8/BwSfHl7e6t79+769ddfXf226qTMzEyX3buwsFC5ubkuuz8AABVhT00AAIA6IiMjQ6NHj9YXX3whSeratav++9//1theh46Sl5cnb29vV5dRoSZNmmjcuHHKzc1Vt27dXF1OtVksFuXk5DhkrPz8fG3fvl2TJ0/W5s2bqzXW4MGDtXz5cofUVRXz58/X+PHjXXb/siQkJJQ6ed0ev//+u4YPHy5Jeuedd6p0gJenp6dat25d6esAAHAGQk0AAIA64Mcff9SoUaNs+z726dNHK1asUFBQkFPu7+PjI0lKTEws1Zadna3U1FSlpqbq8OHDSkhI0MGDB7V7927t2rVLGRkZSkpKqtV7CrZu3VoLFiyo9HWGYUg6GyLay2q16tSpUzp48KD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(8785694557862)>"]},"metadata":{},"execution_count":39}],"source":["# coord_flip을 사용해서 x축과 y축을 바꿔본다.\n","(ggplot(petitions)\n"," + aes(x='category', y='votes')\n"," + geom_col(fill='skyblue')\n"," + ggtitle('카테고리별 투표수')\n"," + coord_flip()\n"," + theme(text=element_text(family=font_family))\n",")"]},{"cell_type":"code","execution_count":40,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":430},"id":"o_KpQdUJP90e","outputId":"7e8e369b-3930-412f-b6f2-3f7350407349","executionInfo":{"status":"ok","timestamp":1672558828563,"user_tz":-540,"elapsed":6,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["                start        end  answered   votes category  \\\n","article_id                                                    \n","230552     2018-05-11 2018-06-10         1  419006   인권/성평등   \n","426834     2018-10-31 2018-11-30         0  416093   인권/성평등   \n","\n","                                                        title  \\\n","article_id                                                      \n","230552                 여성도 대한민국 국민입니다. 성별 관계없는 국가의 보호를 요청합니다.   \n","426834      132cm, 31kg의 왜소한 50대 여성이 180cm가 넘는 건장한 20세 남성에...   \n","\n","                                                      content  answer duration  \n","article_id                                                                      \n","230552      최근 홍대 누드크로키 모델의 불법촬영 사건이 있었습니다.\\n사건은 굉장히 빠르게 처...    True  30 days  \n","426834      http://m.news1.kr/articles/?3464603\\n관련 기사입니다....    True  30 days  "],"text/html":["\n","  <div id=\"df-4b8e97cf-97b8-4b89-b9dc-fa64c8089d27\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>start</th>\n","      <th>end</th>\n","      <th>answered</th>\n","      <th>votes</th>\n","      <th>category</th>\n","      <th>title</th>\n","      <th>content</th>\n","      <th>answer</th>\n","      <th>duration</th>\n","    </tr>\n","    <tr>\n","      <th>article_id</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>230552</th>\n","      <td>2018-05-11</td>\n","      <td>2018-06-10</td>\n","      <td>1</td>\n","      <td>419006</td>\n","      <td>인권/성평등</td>\n","      <td>여성도 대한민국 국민입니다. 성별 관계없는 국가의 보호를 요청합니다.</td>\n","      <td>최근 홍대 누드크로키 모델의 불법촬영 사건이 있었습니다.\\n사건은 굉장히 빠르게 처...</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","    <tr>\n","      <th>426834</th>\n","      <td>2018-10-31</td>\n","      <td>2018-11-30</td>\n","      <td>0</td>\n","      <td>416093</td>\n","      <td>인권/성평등</td>\n","      <td>132cm, 31kg의 왜소한 50대 여성이 180cm가 넘는 건장한 20세 남성에...</td>\n","      <td>http://m.news1.kr/articles/?3464603\\n관련 기사입니다....</td>\n","      <td>True</td>\n","      <td>30 days</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4b8e97cf-97b8-4b89-b9dc-fa64c8089d27')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-4b8e97cf-97b8-4b89-b9dc-fa64c8089d27 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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'votes']\n","petition_votes.head()"]},{"cell_type":"code","execution_count":42,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":635},"id":"au4Z_BUOTTGB","outputId":"bfb0f0da-c946-4061-db6f-babde00bcfdd","executionInfo":{"status":"ok","timestamp":1672558829707,"user_tz":-540,"elapsed":1147,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 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veU07/v2/7469//0fipe/PN3e/joLAGy/kYUFjjvuuLjhhhtizZo18dOf/jQiIk499dT44Ac/GCtWrBjq77j11ltj7dq1Sz6v0WjE+eefH7//+7+/XTUDAACk5oYbboiPfvSj8YUvfCHmN5/tWrNmTbzqVa+KN77xjbHvvvtWXCEAo1Kc1BAWAKBM2WR7o9Gbdd9pp96Fn83miojYVHJVwysu37PEdagADDCyZQgeeuih2LhxY9x9993R6XRir732iuOPP37ooECm0+ks+d/8/Hw0GtZwAwAApssll1wSxx57bFx99dVbggIREQ8++GB8/OMfj+c+97lx8803V1ghAKO0MCzgfBcA5cmOQ83cTFGz2ZtxTz3EprMAwPYbWVjgxhtvjFtuuSXOPffcWLduXdx9991x9NFHx5lnnjn033HwwQfHQw89tOR/Dz/8cLzuda8bVekAAACV+9rXvhZve9vbtros289+9rN41ateFQ8++GCJlQEwLsVdfuqTMgBMl15ngd5Yq9W7n/pxqRgOKC7vA8DSRhYWiIj4pV/6pTjzzDPjBz/4QZx66qnR6XTivPPOixNPPHGrJ7wyjUYjVq1ateR/K1euHGXZAAAAlfvgBz841PemO++8My6//PISKgJg3IqTHHNz1dQBQL1NT1igmjoAJtlIwwKZVatWxfnnnx//7b/9t2i1WvHpT3863vSmN43jpQAAACbe//t//y/+1//6XwMeWR8RaxeMfupTnxp7TQCMX3GSo7j2MgCM06BlCPJhgdSPSwuPo9XUATDJxhIWyPzH//gf4+KLL46IiI997GNx6aWXjvPlAAAAJtKPfvSjAaNPiYhbIuLbEdEa4vkATJriFZA6CwBQpqxt/6R2FigeR4UFALbdWMMCERG/8zu/E3/8x38cnU4n3vSmN8Udd9wx7pcEAACYKK1Wa8Dor26+PTAidu17pNkc+1c5AEpQnORIfVIGgOmSHYfyYYFms3dwSv24JCwAsP1KOcN01llnxW/8xm/Eww8/HGeccUYZLwkAADAxnvSkJw0IADQXuR9xxBFHjL0mAMav2N5ZZwEAypRNrufDAjMzvfuphwWK4YBieACApZUSFmg0GnHxxRfHihUr4q/+6q/iW9/6VhkvCwAAMBH22WefeP7zn18YXTwscPLJJ4+9JgDGb+Fay2mvDQ3AdOl1FujNsvcvQ5D2cal43NRZAGDblda78qCDDorTTjstOp1OvOc97ynrZQEAACbCGWecETvssENuJP91rXfG7tBDD43jjjuutLoAGB/LEABQpcHLEPTup35cKh5HO520ww0AKSp1ocszzzwzdtxxx/jbv/3b+PGPf1zmSwMAACTtyU9+clx44YWx0047bR7JXdKz+avb+vXr4y//8i9zzwFgkhWvgLQMAQBlyo5D+YBAoxHRbHZn4VMPC1iGAGD7lRoW2H333WPDhg0xMzMTP/zhD8t8aQAAgOQ9//nPj7//+7+P17/+9bHjjqu2jP/CLxwc55xzTnzxi1+M/fbbr8IKARilhcsQVFMHAPU0qLNARG8pgtSPS46jANtvpuwX/NM//dM455xz4oADDij7pQEAAJJ30EEHxTnnnBPr1u0Q7353d+yv//qK+MVfdOYLYNoUr4Ccm9M+GYDyDQoLPPFERLud9nGpeBwVFgDYdqWHBfbYY49FH2sUj0gAAAC11WsE56QXwHQqTnKk3u4ZgOmyWGeBbFmC1I9LwgIA26/0sMBirrrqqth5552rLgMAACAJ+RNd8/OC1QDTqLh/n5urqBAAain7ztEsLFg9M9OJiEbyx6ViOKAYHgBgacmEBV74whdWXQIAAEAy8lfxuEIGYDq5IhKAKnU63dDaoGUIItI/LhVDd6nXC5Ci5tJPAQAAoGz9nQWqqwOA8Snu3+fmdJIBoDyLLUOQhQXa7bSPS8XQnc4CANtOWAAAACBBwgIA06+4f099bWgApkt2HCqGBbJlCVI/Li1chiDtcANAipJZhgAAAICe/FUxqZ+kA2B5hAXodDrxzW9+M2666aZot9tx0EEHxXOe85yYnZ2tujSgBnqdBfovyW+1uj+nflwqHkfLCFk/+uij8bnPfS6+8Y1vxGOPPRbr1q2LDRs2xBFHHDH+FwcYA2EBAACABOXX39RZAGA6Fdslp97umdH60pe+FH/yJ38SN998c9/4PvvsE2984xvj9a9/fTSKl/sCjNBSyxCk/j2k7LDAX/zFX8Qf/dEfxf333983fv7558czn/nMOP/882PvvfcebxEAI2YZAgAAgATlr+LRThNgOuksUF+XX355vPrVr14QFIiIuOuuu+Jd73pXvO1tb4uOBbiBMcqOQ83CTFEWFkj9uFTcRY4zLHDhhRfGm9/85gVBgczXvva1OPbYY+Oee+4ZXxEAYyAsAAAAkKD8ia7Ur+gBYHmKkxxzc9XUQbl+9KMfxVve8pYlgwCXXHJJ/NVf/VVJVQF1tFRngbm5tEPLxd3ouPJVd9xxR/zhH/7hks+79dZb45xzzhlPEQBjIiwAAACQoHxAIPUregBYnmLnGOGwerjwwgtjbshkyJ//+Z/rLgCM3cKwQHe/k/r3kLKWIbj00kuH3m9/9rOfXbT7AECKhAUAAAASlJ8XMHkEMJ2K+/fUr+BkNK644ooBo8+JiN+NiP5/A9/97nfjRz/6URllATW0VGeB1L+HzM+XE7r7/Oc/P2D0lRFxUUTs2Tf62GOPxbXXXjueQgDGIPmwwJVXXhlf/epXqy4DAACgVJYhAJh+xf176ldwsv0ef/zx+PnPf14Y3TkiroqIiyPimQv+zF133TX+woBayo5DzcJMURYWSP24VFbjlQceeGDA6Ecj4jURceKCRx588MExVwQwOsmHBY477rh4wxveUHUZAAAApWq3e1fJCAsATCdhgfqZnZ2NmZmZwuiuEbHT5vv7LfgzK1euHHdZQE1ly+EUOwtk4YH8d5IULVyGYDz1rl27dsDomsJtzy677DKWOgDGIfmwQETEvDNjAABAzeS/BhXXtAZgOhSviBQWmH6NRiOOOuqowmj+FG2r75G1a9fG4YcfPva6gHpa7Mr8Vqv7QOrHpYVhgfG8zjHHHDNgNAt+9U+zrVy5Mp797GePpxCAMag0LHDTTTfFLbfcUmUJAAAAScqf6Er9JB0Ay7Ows4BwWB289rWvLYwsHhZ41ateFTvttFMAjMNiyxBkDVBSv46zGHYYV70nnXRSzM7OLvJo/5u3YcMGnQWAiTLysMDpp58e733ve4d67lOe8pQ4/vjjR10CAADAxMuf6Er9JB0Ay1Oc5Jibq6YOyvXCF74wnve85+VGmgPv/8Iv/EKcfvrppdUF1E92HGo0+g9IWXhgbi7tEFvxOLpYp4Ttte+++8b73ve+3MjgkNf69evjrLPOGk8RAGMy8rDARz7ykfjkJz851HM7nU60XSIDAACwQP5El7AAwHQqLjNjf18PzWYzPvGJT8SLX/zibCT3aHfS6fDDD48rrrgi9thjj9LrA+qjFxboH29tnv9OffqmrGUIIrrdBf78z/9883453wWmuw9/3vOeF3/zN38Tu+666/iKABiDSpchAAAAYLD8iTmTRwDTqbh/T/0KTkZn5cqVcdFFF8UXv/jFePGLf3vL+OGHHxmf+tSn4itf+UoceOCBFVYI1MFiyxC0Wt0UQfphgXJDd8cff3zcdNNN8ZGPfGzL2FOe8rT4+te/HpdddpmAFzCRZsbxl87Pz8dDDz0UnXH1fAEAAJhy+RNfxZNgAEyH4qRG6pMyjN6//bf/Nt7xjn8Xf/u33Z9PPvk18fznP1ZtUUDtLNZZIPXQcrG+Mqakdthhh3jxi387Tjut+/PTnvbvY/36R8b/wgBjMpawwA9/+MNYu3btUM+9884745RTThlHGQAAABMrf+Ir9ZN0ACzPws4C1dRBtfL/DgRGgDIttgxB1mkg9X1SMRxQXN5nfK+bD3aX8pIAYzOWsEBEDN1V4IEHHoiLL754XGUAAABMJGEBgOlXPH1mf19PjvlAVRZfhqB7226n3eGsuM8sax8q5AVMk7GEBQ499ND47ne/u9XndDqdWLFiRey1117xtre9bdHnvP3tbx9HiQAREXHvvffGpz/96bjuuuti48aNsffee8cJJ5wQz33uc6OVfSoGAKiAiQOA6bews0DakzKMR/+kk38DQHkW6ywwM9N9IPWJ8KpCd/n3xXc1YNKNrbPAsJNsu+22W5xxxhmLPi4sAIxDp9OJj3/843HOOefEpk2b+h77H//jf8QhhxwSF110UTzpSU+qqEIAoO5crQIw/YqTHPb39ZT/d2DSCSjTYm37e50FSixmGYr7zCEbXo/0dct6TYBxaS79FIDpc/7558e73vWuBUGBzI9//ON46UtfGj/+8Y9LrgwAoMsJKIDpZxkCIiLm53uTdalPzAHTZbHOAtmyBKnvk3QWANh+wgJA7fzrv/5rnH322Us+7+c//3m8613vKqEiAICF8hMH+fsATI/i/n1urqJCqJRuQkBVsv1PszBT1OsskPb3kOJxtKyJe8vHANNEWAConUsvvTTaQ377vuaaa+K2224bc0UAAAvlT0C5WgVgOhX37yYc6kk3IaAqvc4C/TufVqv7c+rfQ6pahiC/fEPq7xHAUoQFgNr56le/OmD0lIj4QkQc0jfa6XTia1/7WhllAQD0ERYAmH7FSQ2dBerJFapAVRZbhqDXWaDcerbVwrBAOftQyxAA00RYAKidhx9+eMDo2RFxdET87pDPBwAYLy2JAaZfcYLBhEM9OeYDVcnCAsVlCLKfU98nFUN3VSxD4NgNTLqZqguYm5uLO++8Mzp6bAEl2WOPPeKWW24pjK7cfLvTgufvvvvuY68JAKDICSiA6Vfcv8/Nuaq8joQFgKos1llgZvPMUerHparCAvl9taktYNKNJSxw++23xzHHHDPUc3/84x/H/vvvP44yAAb67d/+7fj6179eGG0Wbrt22mmnOProo0upCwAgb36+d2LOCSiA6VTcv5sorqd822zHfKBMiy9D0H0g9dDywmUIyn9dx25g0o0lLPDII4/E5z//+aGfv2LFikUf27Rp0yhKAthiw4YNce6558YDDzyQGx0cFnj5y18ea9euLa02AIBMf2eBtK/oAWB5hAWIMOkEVCfb/xTDApYhWOp1e2+Y72rApBtLWGDfffeN973vfVt9TqfTiZNPPjkOPfTQ+N73vrfo85rFxXIAttPOO+8cF1xwQZx44onxxBNPbB5tFW4jjjjiiHj3u99den0AABEmDgDqoDjBYH9fT/3HfJNOQHmySe+FnQW6t6kfl4rhgCqWIUi9+wLAUsYSFlizZk28+tWvXvJ5J5988jheHmBJv/mbvxl//dd/He985zs3B5Z6nQVmZmbiZS97Wbz3ve+NnXfeucoyAYAa6+8sUF0dAIxPcf9uorieHPOBqiy+DEH3NvXjUjF0V8UyBPbbwKQbS1gAYBL8h//wH+Laa6+N//2//3e85CUzMT8f8bSnPSP++3+/Kfbee++qywMAas4JKIDpl+IyBLfeemv85Cc/iVarFYcddljss88+VZc09XQTAqqyeFig+0Dq30OK9ZUVFtBZAJgmIw8L7LjjjrFy5cpR/7UAY9FoNOLpT396ZJ0FDjvsSbH33o9UWxQAQAgLANTBws4C1dQREXHttdfGBz/4wbj++uu3jLVarXjBC14QZ5xxRvzKr/xKdcVNOcd8oCrZPqe4GvSkLENQDAcUOw2Mi/02ME1GHha4//77o1k8sizi937v92K//fYbdQkA2yz7IFnWB0oAgKXkP5eUdYUMAOUqTjDMzVVTx4UXXhhnnnnmgvF2ux1XXXVVfPnLX46LL744nvvc51ZQ3fTLH/NTb/kNLO0nP/lJXHLJJfGlL30pHnroodh9993j2GOPjVe/+tXJdWvpdRbo/8KRhQWqOi4Na2FYoPzXdT4ZmHQjDwusWLFi6OdecMEFo355gG2m3R8AkKL+zyhOQAFMo4XLEJS/v7/++uvjne9851af89hjj8Upp5wS1113XRxwwAElVVYfrlCF6dDpdOJDH/pQnHvuudHJ7eDvuuuuuPnmm+MDH/hAfOADH4gNGzZUWGW/xZch6N6mPhFe3TIEvffFfhuYdMO1AACYYr6UAwApsg4mwPRbGBYov4aPfvSjfZNai3n00UfjoosuKqGi+nERA0yHj3/84/Enf/Ini+5TN23aFG984xvj7/7u70qubHFZqQuXIeg+kPo+qfg9qazvTc4nA9Mk+bDARz/60Tj77LOrLgOYYvkPdFr8AgCp6G9tWV0dAIxPcf9e9qTM3XffHddcc82AR/5dRKxfMHrZZZcNFSxg25h0gsl3//33x7nnnrvk8zqdTvzhH/5htBOZhV+ss0AWHkikzEVVtQyBYDcwTUa+DMGoveENb6i6BGDK+VIOAKTIZxSA6Vds71z22tC33377gMn/wyPixoh4OCL23Xzbde+998YjjzwSq1evLq/IGnDMh8l3+eWXx8aNG4d67r/8y7/El7/85Tj66KPHXNXSllqGIPWwQPE4WlaezX4bmCZJdRY47bTT4vjjj6+6DKBmfLgDAFLkMwrA9Ft4RWS5a0PPzAy6jujQzberI2LdkH+G7ZH/d5BfBxuYHP/wD/8wYPR1EXFbRLxwwSPf+MY3xl3SULLvGYuFBTqdRtKdWIvfk4QFALZdUp/uv/CFL8RPfvKTqssAaiZ/MqbsEzMAAIvxGQVg+lW9DMEv/dIvxerVq+Phhx/OjeavLWr1Pf/www+PHXfcsZTa6iR/nE/9Kl5gsE2bNg0YfV1EHBgRJ0fE1X2PPPbYYyVUtbROp7v/WSwsENHdL6WaE6sqdOe7GjBNkuosAFCF/MkZX8oBgFRYBxNg+hX372UvQ7Bq1arYsGFDYTQfEOg/dfi7v/u7Y6+pjpyXgMm3bt3CTiwRs4Xbnv3222+s9Qxr8WUIerPwZR+btkUxLFBFZwH7bWDSCQsAtadtFACQovyJLp9RAKZTcVKjigmH008/PXbffffcyODOAocddli84hWvKK2uOskf51Nu9w0sbmHwKqK3D+2fhmm1WvGyl71s7DUNI9v/NAszRcXOAqkqfk8q63uTYDcwTUYWFnj9618fL3nJSxaMf+UrX4krr7xywfiee+4Zz3jGM0b18gDL5ks5AJAiV6sATL+FYYHyWxnvv//+8ZnPfCb22muvzSP504Xd+4cffnh85jOfiVWrVpVeXx045sPke/rTnx5PecpTCqPZ/rR/SZeXvvSli3QiKN/inQV691Nus19VWMD5ZGCajCws8JWvfCWuuuqqBeOnnXZaHH/88QvG77333rj33ntH9fIAy6azAACQIiegAKZf8TtoVRPFRx55ZHz961+Ps88+O/bZp9ca+7DDjog/+7M/iy984Qux7777VlNcDfSHBdKdlAMW12g04hOf+EQccMABudFm4TbiyU9+cvyX//JfSq1ta3phgf4vHPllCFIOMaUQFnA+GZh0Y1+GoNPpRMeZLSBh/W2jfCkHANKwnBNQnU4nfvazn8Wdd94Zjz/++HgKA2Bkit9Bq1wXepdddolTTz01/tN/eteWsQ996MPxqle9KnbcccfqCqsBk04wHfbff/+4+uqr4xWveEXssMMOkQ8L7LzzzvH6178+Pve5z8WaNWuqLHOgYmeB/LIEKYcFilNPZU1F5Y/f9tvApBt7WAAgdZ1O78Ndyh9+AYB6yV9ZuFSg8cEHH4w/+7M/i6c+9alx+OGHx5FHHhnr16+PM844I37wgx+Mu1QAlmnhJEej8kkHE9fly/878J7DZNt7773jIx/5SHz729+OPffsdmQ54ohfje985ztxzjnnxOrVqyuusF+2z2kWZoryyxCkfL60+D2pvLBA776OMMCkExYAas+JEAAgRcNOHPzzP/9z/NZv/VacffbZcdttt20Zf/TRR+PSSy+N3/zN34wrr7xyjJUCsFyD9u9VT8r0T4DgUf+kAAAgAElEQVRUV0ed5Ce7vOcwHXbfffdYuXLV5vt7JBcSyPSWIegfz4cFUu7EWgwHlFVrf6faUl4SYGyEBYDasx4wAJCiYSZrNm7cGK985Svj1ltvXfTvefzxx+PUU0+NG2+8ccQVArC9UgwLuMq9fK5QhemUbdtV79e3ZrFzoTMzvQeqXCJnKcXjVBWdBZxPBiadsABQezoLAAApGuYzymc/+9n44Q9/uOTfNTc3F+9///tHVBkAozJogqHqSaVtWQaH0XBeAqZTtj2nvC9dbBmC/M9VH5e2ZmFngXJe134bmCbCAkDtaRsFAKRomKtVPvnJTw4YnY2I3ReMfvnLX47bb799JLUBMBqDwwLVTiqZACmfpR9gOk1GZ4HuMWdryxCkXH/xOFVeWMDyMcD0mKm6gEH+5//8n9HZSu+WNWvWxLOf/ezyCgKmWv+JkHSTvgBAvQwTaPz+979fGGlExDcj4tCIeEpE/OOWRzqdTvzTP/1T7L///qMtFIBlS3EZAhPX5RPQgOmUhb9S3q6zaZithQVSPl9aXVig/NcEGJckwwIvfelLt/p4o9GIuZQXygEmSpagjXAiBABIR//VKoNP0C0MWe8WEb+y+f4zIh8WGPx8AKo0aAKm6lNeJkDKlz88Oy8B0yPbtlP+CL7YMgST2lmgrPe6P9idbpgCYBhJhgV+7dd+bauP77LLLiVVAtSBEyEAQIryJ7oW+4yyfv36+O53v5sbyZ3VG7Dq3Pr160dSGwCjMXgZgvLryNNZoHz5iSaTTjA9JmEZgkyj0X9AajZ7P6dcf/4isO7P5bzuMEvGAUyKJMMCN954Y9UlADXiwx0AkKJhAo0nnXRSvP3tb8+NtBa5H/GsZz0rfvEXf3FU5QEwAoOXIWhERHVfTvOT1b4jl0NAA6ZTtm2nfHHSMMsQpLxfKh6nLEMAsO0WXmoCUDPDrAcMAFC2YU5AbdiwIQ488MDcyODOAs1mM97ylreMtD4Att/gsED5deT1H39c5V4Gk04wnXqdBdLdly4WFpjJXWaacv0LlyEop1YhL2CaCAsAtedLOQCQomG6H61evTouv/zyWLdu3eaR/Fe8bnCg1WrFBz7wgTjqqKPGUicAyzdo/z43V34deSZAyue8BEynbB+acpeWbJ/TLMwUTUpngeI+s7zOAvnlY8p5TYBxERYAaq//REi6SVkAoF7yJ+W2doJu/fr1cc0118Sb3/zm2G23vbaMN5uzcdxxx8XVV18dv/M7vzPGSgFYrkETSFVfza/7XvkENGA6ZfvzlLfrxYIMzWbvgUmq3zIEANtuZumnAEy3fHsqH+4AgFT0f0bZ+sTRnnvuGWeddVaccMJ8/Pqvd8fe8Y4z4w/+IOHLmABIchmC/MRL1bXURf977iIGmBbZtp3y+cbFliHQWWDr+oN19tvAZBtZZ4HG5qPJpk2blnzuo48+2vdnAKo0TItfAICyLedqlWZzdsv9mZkdR1wRAKM2aP+e0jIEviOXQztrmE7Z9pzydj3MMgQpT4YX39uyjluOlcA0GVlngbVr10ZExL777hurV6/eMn733XdHRMSBBx64Zez++++PRqMRa9asGdXLAyybFosAQIqWExbQDhNgsmRdZGZmOjE3l0a76vykkKvcy+H4DdMp25+nvC/NjkOT21mgv/AqwgIpvz8AwxhZWOCEE06I//N//k/cf//9cf/99y94/Pbbbx/4ZwCq5ks5AJCi5XxGyZ+octIKIH3Z/n12ttdRoOpJJYH68pl0gumUbdspX3m+2DIEzWav6Ko73myLso5bOsIA02RkYYG3v/3tcdJJJ8Udd9wR7SU+1bZarVi3bl2sW7duVC8PsGzCAgBAipYzWZP/MymflASgK9u/z8x0IiKVzgK9+1XXUhfec5hO2YRyytt19p2huAzBTG7mKOX6U1iGwPlkYNKNLCwQ0V2CYN999x3lXwkwdv1fytNtCwYA1Een02sJGjH8OqE+1wBMlmxSY3a2N1b1FZwmQMrX/547fsM0yE9ap7wv7XUW6J9lzy9DkPJ+qfjellWrLjzANGku/RSA6ZY/Ee8KPAAgBcXPJMOegNIOE2CyZPv7lK7gnJQJrmniPYfpMynBq8WWIciHBao+Lm3Ncr83bS8hL2CaJBUWWLFiRaxYsaLqMoCakQQFAFJT/Ewy7Ak6n2sAJku2r16xojfbUXVnmPzrmwAph2UIYPrkt+Wq9+tbk+1/issQNJv541KJBW2jhZ0Fyn9d37uASTfSZQi21w033BDtlI88wFTy4Q4ASM1y197sPyk5unoAGI9sf59SZwHfkcuXD2VU/fsHRiO//0y5k+litU1KZ4Hlfm/a/tfV0Q2YHkmFBVavXl11CUANORECAKSmeEJu2M8o+T+X8klJYPJs2rQp7r333thhhx1it912i0axXzHLku2rZ2fTuYLTVe7lc14Cps+k7EuHWYYg5f1SfnnZCJ0FAJYjqWUIAKowKR/eAYD6WG47zfzJspTbnQKT49vf/na88Y1vjEMOOSSe/OQnx2GHHRZHHXVUXHDBBfHoo49WXd7Ey65MnJ3tjVW9/zYBUj5rX8P0mZR96TBhgbm5NPdLg8LRZQWmLf8GTBNhAaD28h8ifSkHAFKw8AqZ4T6jOGkFjNInP/nJOProo+Mzn/lMbNq0acv4D3/4wzjrrLPimGOOiZ/+9KcVVjj5LENAhIsYYBpNyvIi2f6nWZgparXS6XizmEHHqPKWIci/ZkNXN2CiCQsAtZe/asMHOwAgBcUTX8OeoMs/L9WTesBkuOaaa+KMM86I+a3MFt98881x0kknxdzcXImVTaf8MgRVv52uci9f/0UM1dUBjM6kBK+ykPLWOguk+r1i0Pta1nFruZ3gAFIkLADU3qR8eAcA6mO5J590FgBG5bzzzovOEGnqb33rW3HNNdeUUNF0SrOzwGRcDTtNdBaA6VO88jxVwyxDkOr3isFhgWpeO9X3CGAYwgJA7QkLAACpKU4UDNv9qP+k5OjqAerlH//xH+Nb3/rWgEf2jIjWgtFLLrlk7DVNq2y/vWJFvt1ztZNKviOXLx/Q0M4apsOkhICy/c3CZQh696s+Li1m0L6yvLBAcdm4cl4XYByEBYDacyIEAEjNcq9UcTUoMArf+973Bow+MyLujIgvLXjk+9///rhLmlopdhawpE35lrv8EJCuSTnf2Oss0D/z3mzmQ2xlVjS8Qe9rWWGr4nuS6nsEMAxhAaD2JiXpCwDUx3InDfqXIUjzCiAgfYOXH/j16HYVeM6Qz2cY2Vs3O9sbm5urppaMLjXl084aps+khHiHWYYg1fotQwAwGsICQO0V2/0BAFSt+Jlk2Il/V4MCo/DLv/zLA0Zzs9nRv08a/HyGke3fZ2c7ubGqqunKBwSqrqUudBaA6dPfWSDd841ZnZO5DMHCusoKuRX3284pA5NMWACovUlpCwYA1Mdyr1Tp7ywwunqAevnVX/3V+Df/5t8URvNhgf7TSSeeeOLYa5pWg5chqHbCob/7nsmPMhQnt4QFYPJNypXni02uT0JngUG1VxUWSPX3CzAMYQGg9oQFAIDUFE/IDXvSy9WgwCg0Go1461vfWhjNhwV6MwiHH354HHPMMaXUNc3ynQWqXoYgHxBwLCmHK1Rh+kzKZPJiyxA0mxGNRvfBVMMC1S5DUOwEV87rAoyDsABQe8ICAEBqlt9ZwAQPMBovfvGL4z3veU9uZGFngYMPPjj+4i/+ImZnZ4PlyfbV+bew6kmZ/s4C1dVRJ5YhgOlT3I5T/Wy+WFggotddINV90uCwQDlhq+J7kup7BDCMmaWfAjDdnAgBAFKz3EmD/mUIXJUIdfKDH/wgvvjFL8YDDzwQu+22W7zgBS+Igw8+eLv+zje84Q1x5JFHxsc//vG4+uoVW8b33nu/eM1rTojXve51scsuu2xv6bXWCwv0OgtU3fo/fwwqq51z3RWP2c5NwOSblBBQVmdzwGWlrVa3202qQYdqOwtU87oA4yAsANRe/4mQRnQ6g9O0AABlWX5ngcH3gen1ox/9KN761rfG9ddf3zf+7ne/O37rt34rzjvvvNh///2X/fcfddRRcdRRR8Vpp83GX/5ld+y6674ea9dqVjkK2WR8SmtD5wMCVddSF5MyqQgMr7icSKqTyVmdW+8skOaJ0kGBtrJCbsICwDTxzQ6ovWKC35UTAEDVFp5cHO4EneWVoF7+6Z/+KY455pgFQYHMNddcEy984QvjX/7lX7b7tVqtHfI/bfffR1e2r261IprN7pfRubkKCwpdaqpg0gmmz8LtOu396aCwQHZcSjXAlFJngeL3N4BJIiwA1J4v5QBAaoon5IYNM+ZPQvpMA9Ot0+nE7//+78d999231efddddd8aY3vWm7Xy8/gW3/Mjr59s/ZFZxVv7/5Y0mqE0TTpnicT31SEVjapJxv3NoyBDOb+1KneiwYNEFfVWeBVN8jgGEICwC1Nykf3gGA+ljuyaf+q0FHVw+Qnuuuuy6+//3vD/Xc66+/Pm6++ebter0nnjCBPA7ZpHCj0ZuUmZurdqJYl5rymXSC6VPcjlPdn2aT643Gwln23jIEJRa0DQa9p2WFBYpLM6T6+wUYhrAAUHu+lAMAqVlumDH/OSbVtUWB0bjyyisHjP5yRPxxRBw45POH98QTvftOiI9es5lOu2dhgfK5iAGmz6Scb+yFBRY+lnUbSPV7xaBgQFXLENhvA5NspuoCAKo2KUlfAKA+RhEW8JkGpts999wzYPS8iHhJROwXEb83xPOH178MQSMiSrp0b8r12j93kmn3LCxQvuKyA1X/GwC236RMJmd1DQoLtFpphNgWM+g9LWsZl0n5/QIMQ2cBoPaKKdRB610BAJRpuSef8p9rUj2pB4zGqlWrBozuVbjtWb169Xa9Xn4ZAifERyc/SZNKu+f+sIDvx2VYeNz3vsOkK55fTHW73lpngVSOS4sZHBao5rXLWv4AYByEBYDaK35Yd+ILAKjaws8nw51czLcIdcIKpttznvOcAaOtwm3Ps5/97O16vXxngVQnDSZRfpKmNylT7YRS/jux33U5JqVdOTC8SelkOkxYINXaB9VV1neghfvtNMMgAMMQFgBqT9soACA1liEAlnLsscfGHnvsURjNQgL9p3sOOuig7Q4L5DsLmMgcnd4yBL12z/lgRhXyATXHknIUJ7e87zD5JiUElO1/mgNmirKxVCfCBwUDytp/Ft8T+21gkgkLALUnLAAApGYUYYFUT+oBo7HDDjvEf/2v/zUafZcCZqd5ep0FZmdn4/3vf380B80CbIMnnujd951pdPrDAt37VU8oCZ6Vb1ImFYHhTcr5xmy5hEGdBWZm0gixLWZQWKCqzgKp/n4BhiEsANRe8Uu4L+UAQNWWe/Ipf3LMCSuYfi960YviwgsvjDVr1mwe6e8ssMcee8Rll10Wv/7rv77dr9U/gSyMNCrZe9loRMzMdMeq/k6aP344lpRDWACmzyRMJue/O0zmMgQLixYWANh2wgJA7Wn3BwCkZvmdBbQJh7o59thj49vf/nb86Z/+aaxa1Q0N7LrrnvGRj3wk/u///b/bvfxAJr8Mge9Mo9dsptPuOf8duepa6qI44SWQA5NvEiaThw0LpPq9YtB7Wtb7LOQFTBNhAaD2ih/usvZbAABVKU4SDDtZkz9JVdZVNUD1Vq9eHSeffHLsu+9+ERFx6KFPile84hWx4447juw18i2InRAfnd4yBJ1k2j3rLFC+SZhUBLbNJISA8vuaQasVpRJiW8yg7ztlvc/OJwPTRFgAqL2FH94rKgQAYLOFJ5+G+3P5CTyTeVA/2cn8cWz/TzzRu+870+hk72WjkU675/4lJ6qro05coQrTZxK26/7OAgu/cLRa3bEUa4+otrNAMUDheAlMMmEBoPYk+AGA1Cz384mrQaHesu1+HJ1F5uYsczIO2e8qHxao+v3NB+odS8pR3Gar/jcAbL9JON847DIEKdYe0V9X1p2nrO5qk/D7BRiWsABQe5OQ9AUA6mU0YQGtMKFusu8y4+4soNXu6PSWIehNyuSDGVUQPCufSSeYPpNwvjFf49bCAlUvj7OYfDCg7GCD/TYwTYQFgNorflj34e7/Z+/Ow6Sozvbx3909PcPMsA2r7AguCBGMoiFoVFQEA7JEXDCI6A953U3094oao0ZifCUxJu6iYogiihghBkU0qKhoEMV9jaIsomwDDDMwa3//6KmpU1Wnu6u7aznVdX+ui2uG6u1Md1fVqXOe8zxERETkt1wHF8V0mOzTEIWPtt+7UVu4vp6ZBdwgBgtoqyL9fn/FyRdV61QXGuukE993oqALwmSy3cwCqp4LxPdUa6tfmQX8PncTEeWDwQJEFHrmTqSKnXciIiIKF2swo70BOtaZJgo37Rjgxv4vrirk8cU5WpYGlcoQ8FziPfNEnN/fASLKn7n/rmJWnszBAmoEsaUivqdaW1mGgIgoewwWIKLQM3fmVOy8ExERUbjI+iN2Br7EgTxVB/WIyD3axITbwQI8vjhDPK5Ho8l/gP8rOMXvDz9rb3CFKlHhCcJ+LbYxKpkp8jq1f7ZkmQW8aqv5XM3xZCIKMgYLEFHomSN9Ve0AExERUXjI+iN2+ijixBP7NETho+337gQLsMyJ08yTNFoZAr9rQ4vt8mqFZtgx4yFR4QnGynP93C7LLKAHsXnUnCyJx06vgwWC8fkSEdnDYAEiCj127oiIiEg1sv6InUE6Y2YBrm4hChvtGODGoH59vf4766k7QzzWRyIJZVZwip+vqhNEhcY6LsF9jCjogpBZIHMZguRPVa8r5JkFvGlrED5fIiK7GCxARKFn7syxc0dERER+yzWzgDiQx9WgROGjXcs4PdmcSAD19cws4DTzJI020aFSZgF+1t7gpBNR4THvxyoeT+0HC3jTnmyJ76mWncerayAuPiOiQsJgASIKPXbuiIiISDWyATl7wQLZ3Z+ICou23zu9ApAB1u4wlyFQZQWnMVhAzdWkhYbjEkSFx1peRL3jqfE8ZJ1lj8WS21Q978syCzBYgIgoewwWIKLQY21AIiIiUo1skMtOH0W8j6qDekTkHm0iwumBcrEEAcDji1OMZQj0VZF+v788l3iPmQWICo85OEDF8cagZxYQ2+91KR/ze8KsbkQUZAwWIKLQM3ciEwn1In2JiIgoXGQrj+z0UZg6mijctIFrpwf1GxrUn/AIotSZBfxpj0ZsFyc/vBGESUUiyk4QVp5nOsarkvEmFfH6SMuC4F1mAfNxW833iIjIDgYLEFHo8aKciIiIVCPrj9iZPBIH8lQd1CMi92jHCaevacyZBTgg7hT9fVQpWMB4LvGxISFintziOZwo+IKQMcQctGamTcCrOlYqK0PgVVuD8PkSEdlV5HcDiIj8xvqbREREpBrZIJedgS+xH8PVoEThox0nnM8sIH8dp9TU1GD9+vVobGxE79690aZNG2dfQFGpMguYMzl4TTx/qDpBVGiCsAKZiLJjPheruF8HvQyB+J4WFVm3efXaXr4uEZEbGCxARKHHzh0RERGpRjYgZ6ePwjrTROGVSOjpeJ1e+W+evHbq+PLtt9/innvuwcKFC1FdXQ0AKCkpwfjx43HxxRdj0KBBzryQosRjdiSSUGYFp/FcwhXuXuAKVaLCYx1vVO94milYQMs2oOoxSWy/1lav3meOJxNRIWEZAiIKPfOqO3buiIiIyG+5ZhYQ78M+DVG4iAP57pchyP85V69ejRNOOAGPPPJIS6AAANTW1mLhwoUYNWoUnnvuufxfSGHmSRo9s4A/7dHwXOI9BgsQFZ4gjDdmLkOQ/Klq4Jgxs0DyDfcqu1oQMkcQEdnFYAEiCj1GghIREZFqZINcdlbJuDlZSERqczOziNNlCL7//nv88pe/xO7du1Pep7a2FjNmzMDHH3+c34spLFUZAr8nZXgu8Z75fWYpIaLgM/fd1Tye6m0MehkCra1eHT+tn6+aARVERHYwWICIQs96Uc7OHREREflLNthkZ4BRnGBSdVCPiNzhbmYBZwfEH374YezcuTPj/Wpra3HPPffk9VoqM5Yh0FdF+n38ZmYB75n3Kb8DRogof+Zjud/HdplMZQhUOS+lIgsW8Oq8xcVnRFRIGCxARKFnvghn546IiIj85kQZAgZAEoWLOJDv9KC+uQxBPs/f1NSE+fPnS27pBKCnZeuSJUuwa9eu3F9QYeZay6qs4BQnrnl97A3zSli/vwNElL8gTCabz0Nm2rYgHJO8zyyQ/v9EREHCYAEiCj3WBiQiIiLVyPoj2QYLsE9DFC5igJDTwUINDc4FWO/evRtbt241bS0H8AWArwH0NtxSV1eH9evX5/6CCktdhsCf9mjEiRaucPcGxyWICk8QJpONGW6ss+yqlMdJRQxui8USzdu8eu30/yciCpIivxsQZJ999hlmzpyJRJpwtWg0ivnz56O8vNxy26pVq7Bs2TKsW7cOe/fuRadOnXDkkUdiwoQJ6NixY8rnTCQSePHFF7FixQps2LABdXV16NKlC44++miMHz9e+lqa+vp6PPfcc3j11VexefNmJBIJdOvWDcceeyzGjh2LeDye8rE1NTVYsmQJVq1ahS1btiAWi6Fnz5448cQTMXLkSERl4YfNduzYgSVLlmD16tXYunUrSktL0bdvX4wePRpHH310yscReYGdOyIiIlJNrpkFWGeaKLyCklkgIstzjH4AKpp/PxSAMThA/pjgE4M6xGABc3CG13gu8R7HJYgKj3W/Vu9clqkMgdep/bMltquoyLrNTea+kKrvERGRHQwWyEN9fT0SiQRGjBiBAQMGSO8TjUbRqlUry/b77rsPzz//PPr06YNTTjkF5eXl+Prrr1sm8m+66Sb069fP8rjGxkbceuutWL16NQ4++GCMHz8e8Xgcn3/+ORYuXIiVK1di1qxZ6Ny5s+WxNTU1uOGGG/DFF1/gxz/+ccsk/QcffIBHHnkEb7zxBm6++WaUlZVZHrtt2zb89re/xebNmzFs2DCccMIJqK+vx9tvv4177rkHq1evxnXXXYeY1oMQrFu3DjfddBP27NmDn/3sZxg9ejSqq6uxatUq3HbbbRg9ejQuvvjijO83kVvM8T7s3BEREZHfZP0RO5Nz4qofrkokChc3J3jNwQL5PH/btm3Rq1cvbNiwQdgaS/E7UFZWhr59++b+ggozrujUa0P7fU0qvr7fbQmLIEwqElF2glBeJFPKfm21voptB4zHTq8DGxjkRUSFhMECDhg8eDBOPPFE2/d/6aWX8Pzzz2PEiBG4/PLLDRPsY8eOxfXXX4/Zs2fjr3/9K0pKSgyPffLJJ7F69WqcfvrpOOeccwy3vf3227jllltw++2349Zbb7VE3j/wwAP44osvcPHFF2P06NEt20877TQsW7YM9957L+677z5cddVVljb/+c9/xubNm3H99ddj6NChLdvPOOMM/P3vf8eiRYuwYMECTJkyxfC4uro6zJ49G/v27cNtt92GAw44oOW2M888E3/961+xbNkyHHDAATj55JNtv4dETjJ35ryqbUVERESUiqw/YietuHGykBMNRGHiZmYBc/rhfI4vkUgEU6ZMwa233ipsTR0sMGnSJLRu3Trn11OZsVZ0oqU2dEODP+3RMFjAeyxDQFR4rOdOnxqShrkcjpm2TdVjknge1aZYktdM7g/umvtCvPYioiBLnTeeXNHY2IjHH38cFRUVuOSSSywr8Q888ECcffbZ+O6777BixQrDbXv27MEzzzyDfv36WSblAeDII4/EmDFj8Mknn+Ddd9813LZx40a88sor+MlPfmIIFNCMHj0aRx11FFauXGmK7gfWrl2Ljz76CGPGjDEECmjOOecc7L///liyZAmqqqoMt61YsQKbNm3C2WefbQgUAIBYLIZLLrkE7du3xxNPPIFGVXsdVPCcHPgiIiIicoKsP2JngJFBkEThZZzgjTi6/ztZhgAApk2bhm7duglb5MECbdq0KehMhObMAnptaH/aoxHPQX63JSy4QpWo8ARhv7ZbhsDv8jipGDMLJP8Yr65/gvD5EhHZxWABj3366afYtm0bRowYgeLiYul9TjrpJMRiMbz++uuG7atXr0ZtbS1OPvnklPX6Ro0aBQCWx77++utIJBLSQAHxsYlEAm+88YZh+8qVKwEg5WMjkQhOPvlk1NbW4u233zbc9tprryEWi2HkyJHSx5aUlGDEiBHYtm0bPv3005RtI3ITI/iJiIhINbL+SC7BAuzXEIWHOcjIycFy8yRBvgPiHTp0wMKFC4WAAWuwQNu2bfHYY4+hf//++b2YwqxlCJK/mwPavcTJD3+Yswfx/E0UfEE4nmYKFtDOSyq2HWAZAiIipzBYwEE1NTXYuXMnGtLki/vkk08AAIceemjK+5SXl2P//ffH559/jibhLGPnsb1790a7du0sE+8ff/wxIpEIBg0alPKxP/rRjxCJRFpeR3zddu3aoVevXikfq7VJfGxjYyM+++wz9O/fH2VlZWlf1/xYIi+xc0dERESqkfVH7EwcmO/Dfg1ReJj3fycnG53OLAAAAwYMwCuvvIJrrrkGHTt2adneunU7XHbZZVi5ciWGDx+e/wspzFiGQI3a0NbrYzVXkxYajksQFZ4gHE/N5yEzFc5L6Yjt1wIbvMos4Ga/i4jIa0V+N6AQPP3003jooYdQXV0NACgqKsKBBx6IU089Fcccc4zhvps2bQIAdO/ePe1z9ujRA//973+xZcsW7Lfffi2PjUajLf9PpVu3bvjiiy/Q0NCAouaz5HfffYeOHTuiVatWKR9XWlqKioqKljYCQENDA3744QcMGDAg42tGIhHDY7du3Yr6+npbf6v29xH5wdyJ5EU5ERER+U3WH7HTRzGvRuWgFVF4uDnZaA4WcGogvkOHDrjqqqswbFgRJkxIbrv11tk461jSQWMAACAASURBVKz69A8sEOZa0Xq6Z3/aA3DS2i/WzEDqTSoSUXaCkPFLzGoiyyygBRCo2HbA2H4tsMG7zALOZl0iIvITgwXy0LlzZwwfPhx9+/ZF165dUVpaitraWmzYsAErV67E7NmzsXbtWlx66aUtZQOqqqoAJOvupaPdXlVV1RIcsHv3brRq1QrxeDztY9u2bYumpibU1NSgbdu2LY811gNM/bo//PBDy/+rq6vR1NSE1q1bp31cPB5Hq1atWv4+re3i35LuNcX7E3mNgyFERESkGtlEXC5lCNivIQoPN1e4mcsQOD2RKQ64JxLhSYIpTnKIwQJNTREkEvKJG7cxQ40/eP4mKjxBmEzOVIZAhfNSOn6VIZC9hlcZDYiI3MBggTzst99+uOaaa6S3nXnmmbjzzjvx4osvYuDAgTjxxBMBAHV1dQCQccJfu71eCN+vr6/P+DjxsdprZfPY4uJiw+PstjfdY7XsBukep7Uxk8ceewyPP/54ytsnTZqEc889N+PzUOGJNoe6RqNRVFRUZPXYSMQ4GFVW1hoVFezh5UsLkmrXrh0S7DErI599hdzBfUVN3FfUEOb9o7jYOhLXunVbZPo6mvs1bdtWoDl+OGfcH9QU5v1DVX7vK+YY/3btKizbcmU+JpWUlKKiInXmwmyVluq/t2pVjoqK1KUMs6XyviJ+Pm3alKNNG/19bteuomXiw0vNQzQtmpoijn+f/d5XVGSeeIrHW6GiosTzdqi8vxD3HRWl22es584yVFSUQiXm81BFRbnpdv/PS+mUlurtKyvTTmARRKPJ7W7tK7IMQCp+virh+UVNPK+QhsECLonH47jooouwZs0aLFu2rCVYQJwYLylJ3enXJtqLhau04uJi7N69O+Nrp3qsncn4uro6Q7u03+0+tn379obXBJKlDNKpra21tDeV6upqbNmyJeXtNTU1iKnWayFPRSKRrL8D1v5JVLnOb5BFZUXPyHe57CvkLu4rauK+ooYw7h/y8ZNYxj6KeUVoJJL5MXZxf1BTGPcP1fm1r1hX+zm3/5uPLYmEm9dM7jy3ivuK2KSiohjEdRqJhHOfXzbM36OmJve+zzyv6MzBAu7uY5mpuL+QjvuOeuztM+qNN5rPQ+b2GdcP+nNesiseT/4xTU2RlnOZW/uKPHuTep+vinh+URPPK8RgAReVlZVhwIAB+OSTT1q2lZcno/N2796dNrX/nj17DPfXft+4cWPGLAFVVVWIRqMoKyszPNZOmv+qqirDa5aWliIajWZ8bH19Pfbt22dpL4CMAQ6yvzWV8vJydOnSJeXtZWVlaFS1iBK5KhqNIhKJIJFIoCnLfFONjVEA+ohIfX0TGhsZ4ZivSCSCaDSKpqYmRowqJJ99hdzBfUVN3FfUEOb9I5ny2ziQUl/fmDGtuLVfk/kxmXB/UFOY9w9V+b2vJNcN6IN8Tuz/+nMbj0kNDc5eM4ltd/p6TOV9JbkuI/l3JxKNzSshk+9zXV0jMiRqdL1NANDYmEBjo7PfZ7/3FdUkv5bGAXqn9zG7VN5fiPuOitLtM+b+vF/7dTrJNX7J409Tk7XfkFwNnvwbamsblZsMT5ZF0lZGNwGIoqkp0Vwywb19xdznAjienAnPL2rieSXYnAzwYLCAy8rLyw07WY8ePQAAmzdvRvfu3VM+btOmTSgqKjJMjHfv3h2ffvopvv/+e/Tq1SvlYzdv3owuXboY0v93794dH330Efbt24dWreSpAvfu3YvKykoceuihLdvi8Tg6d+6M7777Lu3fuXnzZiQSCcPf1LVrVxQVFWHz5s1pH7tp06aWNmYyZcoUTJkyJeXt27ZtQ2VlZcbnocJTUVGBWCyGpqamrL8DdXXtAOgBOFVV1aisrHW4heETi8VQUVGBXbt2MYhHIfnsK+QO7itq4r6ihjDvHzU1ZQCMabh37apCZWX6rF319RUQB662b9+JSCS/wRjuD2oK8/6hKr/3lcrKGAA9fej27TsBODMYu2tXKwD6gofq6r2orNzryHMDwO7dxQCSNVOqqmpQWbnPsedWeV/ZuVP/zKqr96C2Ngbtfd62bSfatPF+ML2yMgKgY8v/m5rg+PfZ731FNcmvZSfDtpqaWlRWVnveFpX3F+K+o6J0+4y5P79nj7PnTifs2mU8D1VWGrML19Xp5//t23eitlatSd6qqhIAbQAA9fW1AErR1AQ0NTW5uq9UVwPm47bTfaNCw/OLmnheCbZOnTplvpNNzPnhsh9++MEw4X/ggQcCAD788MOUj6mursa6devQv39/Q2TIQQcdlPGx69evx65du1peR3xsIpHAxx9/nPKxH330ERKJhPSxu3btwoYNG1I+VmuT1kYgeQLo168fvvrqK9TU1KR9XfNjibxkDmZkEB0RERH5TdYfsdNHMd+H/Rqi8DCPuzq5/ydXR4rPbal5kBex7WEaPxavRaNRIBbTN/j1Ppi/N2H6PPwi21f5vhMFXxD65WKbZNnhxUWrKh6XxPOotm7Si0Xrsn4QF8sTUZAxWMBFX3/9Nb788ksMHTq0ZdvgwYPRpk0bvPzyy6itla9cfvHFF9HY2Ijhw4cbtg8bNgyxWAwvvPBCylQty5YtAwAcffTRhu3a/59//vmU7X3hhRfSPlZ7brNEIoHly5cjFovhJz/5ieWxjY2NePHFF6WPra2txYoVK9CmTRsMHjw4ZduI3OTmoBoRERFRLmTdfTt9FGu/xtkJPSJSVyJh3N+dHNSvNy40dHzCQHy+MF2PmSdpxEmZhvSJZFwThMmtQsNgAaLCZO6Hq7hfi9ccEcllQzTqfxBbOuJ7rJ1DvThv5RrYTUSkKgYL5KG6ujrlpP1///tf/P73v0fr1q0xceLElu3xeBynn346Kisrce+991pSrvz3v//FggUL0L59e4wePdpwW0VFBU455RSsW7cO8+fPt7zmmjVr8Nxzz6FPnz4YNmyY4bYDDjgARx11FFavXt0SFCBatmwZVq9ejaFDh+KAAw4w3DZs2DDsv//+WLp0Kd555x3LYx999FGsW7cOo0aNQkVFheG20aNHo0OHDnj88cfx1VdfGW5rbGzEvffei127duG0004zlE0g8pK5M8dIUCIiIvJbsv6mkZ2JfwZBEoWXm8FC5olrp48txmCB8AQ5WTML6P9XJ7NAeD4Pv8j2J45LEAVfEMYbMwULqHBeSkdsv5adx69gAZ4viSjIODubhwULFmDVqlUYOnQoOnXqhLKyMlRVVeGTTz7Bhx9+iA4dOuCmm25C+/btDY8bN24cvvzyS7z88sv4+uuvMXz4cJSVleGbb77BypUrUVRUhGuvvRalpaWW1zz33HPxzTffYOHChfjggw8wdOhQFBcX4/PPP8ebb76Jdu3a4dprr0VUkjfo8ssvx7XXXot77rkHb775Jg499FAAyRIC7777Lnr27IkrrrjC8rhoNIqZM2fiuuuuw6xZs/DTn/4UBx98MOrq6rBmzRp89tlnGDhwIM477zzLY0tLS3HttdfixhtvxMyZM/Gzn/0Mffv2RU1NDVatWoVvv/0WRx99NCZMmJDrx0CUN2ukLzt3RERE5K9cV6uY+zEqDuoRkTvcDBaqr3f32CJek4XpuCX+3ZGInkIZ0I7n3s8spUqtLJtEImcwswBRYQpCEK85aM1M9WAB8T3V2upFUIbsvVDx8yUisovBAnn46U9/im3btmHNmjXYuXMnmpqaUF5ejj59+mDatGk4+eSTUVZWZnlcNBrF//7v/2Lo0KF46aWX8Oyzz2Lfvn3o0KEDTjzxREyaNAldunSRvmZJSQlmzZqF559/Hq+88gr+8Y9/oKGhAZ07d8a4ceMwadIktG3bVvrYtm3b4s9//jOWLFmCN954A08++SQAoGvXrjj77LMxceJElJSUSB/bvXt33HXXXXj66aexevVqvP3224jFYujRowemT5+OMWPGICb2HgQHH3xwy2PfffddrFy5EsXFxejTpw+uuOIKnHDCCYjwqpN8xDSLREREpJpcgwXMg2Ps1xCFh5u15s1lCNzMLKDiZIRbrJkF/E/3nOr8k2LIhxxgLiECcBEDUSEIQqYW8fiTKbNAMphMrfQIsmABLzIUsQwBERUaBgvkYdCgQRg0aFDOjx8xYgRGjBiR9eNisRjGjh2LsWPHZv3YkpISnHHGGTjjjDOyfmybNm0wbdo0TJs2LevHdu7cGRdeeGHWjyPyAgfViYiISDW5ZxbI/jFEVBjc3P8bGowD704PxIc1WED8jCKRBGIx/zMspFrlzmAB9zCzAFFhCsJ4Y+YyBPodzCWJVGAsQyDf7gZZP0jFz5eIyC5JchkionDhoDoRERGpJteJA/ZriMLLPHDtbLCA8f9OT2SKz6diTWe3GIMF1Ej3zNWS3uN7TlSY3Mz44xSxjcEvQ5CQbnf7dTVh6r8QUeFhsAARhZ65g8fOHREREflNPgCVeSWvNVhAvXSnROQOa3k15/Z/c7CA04Pw4vOpmKbZLeYyBEVC/k+/3gfZZJCKE0SFhMECRIXJfB5WcbzR2CZrA41lCFxvTtbE9ovnUPczC1i3han/QkSFh8ECRBR6QaghRkREROGSa2pL8+M4wUMUHub93cn9v77e3WOLeA0WpuOWeUVnNOp/umfZBIudYDXKHSediAqTm+dlp2QuQ6D/ruJxSbz28TKwQfZZqhhMQURkF4MFiCj03EzXSURERJSLXFcZWlcWO9MeIlKfm2VI6uuN/3d6xZ7YdhUnU9yiZhkC62RQmD4TPzCzAFFhcjPjj1PMGW7MxCA2Fc8FYvv9LkPA4zYRBRmDBYgo9MwDXezcERERkd+0/khRUXaDXkFYwURE7nAzs4h5lbvTqwvFtobrekx/H1UpQ8AJEO/JMwt43w4iclYQgnjNQWtmKgSxpSO2X2yrH2UIVPx8iYjsKsp8FyKiwubmChwiIiKiXOjBAvoknZ0BOvZriMLLzUkJcxkCp48t4vOF6bhlLkNgd1Jm06ZN+Ne//oVt27ahdevWOP744zFkyBBH2iR7XRUniAqJrMxDmPYDokJlnrBW8ViaXRkC99uTLfN5VLbdndfN77hdVVWFJ598EvPnz8fXX3+NWCyGwYMH49xzz8XYsWMRj8cdbC0RUWYMFiCi0AtCpC8RERGFizZwl0ynGTFsS8c8cMU600ThYQ0Wcm7/t2YWcOypm58vIv290BlXdCYMkzLm9xwAtm3bhquvvhpLly5Fk/Dg3//+9zjiiCMwe/ZsDB482LE2pdvmpEQigbVr1+Lxxx/HN998g1gshsMOOwxTpkxBr1693H1xBTCzAFFhCsJ4Y3bBAuqdn7X3NBpNeBwsYG+bzEcffYTJkyfj+++/N2x/44038MYbb+Cwww7D/Pnz0aVLFwdaSkRkD8sQEFHomTtzbqeqIiIiIspEmyQQF5VkmvjjZANRuLlZhsTtzAJiW8N03DKnf063gnPr1q0YM2YMnn32WUOggOadd97BqaeeijVr1jjWpnTbnLJt2zacdtppGDVqFObNm4dXX30VK1aswJ///GcMHToU1113HRpkkRMFRP6eqzcpR0TZMU+uqxksYCyHY5YMXE5S8fysjeFGIt5mFpC9F3aO2xs3bsTpp59uCRQQvffee5g8eTL27duXTxOJiLLCYAEiCj1zB1LFSFkiIiIKF22wyRgskP4x8kErBxtFREpztwyBe88NhDdYQAxUj0aTpWc05kmHmTNn4uuvv077fDU1NZg+fTrqzR9Yjm1K1Ran7N69G6eddhpee+016e1NTU148MEH8etf/xqJAo7qZ7AfUWGynpfVG28MehkCrf3RaDK7gHm7W3INrLvzzjuxbdu2jPf74IMPsGjRohxaRkSUGwYLEFHomTvrHFQnIiIiv2n9kWxW87DONFG4ma9rnNz/rSUOnHtu8/OF6XrMXGtZnOgQF9Nv3LgRS5cutfWcmzZtwnPPPZdzm2TB8259Jn/84x/xySefZLzfE088gZUrV7rTCAX4UfqBiNxnXZzkTzvSCXqwgF6GwNh+fzILpH/Mnj17sHDhQskt8iCSv/3tb1m3i4goVwwWIKLQC0INMSIiIgoXrT9iXGVq7zGZthFRYXJzQt9chsDpbGzi86m48tIt5jIE4jFf/Dz/9a9/SUoPdAFwE4AhluddvHixI22StcUpdXV1ePjhh23ff+7cuc43QhE8fxMVJvPqdhX3a2PQmnU5vhgsoOL5WWuT18ECYvkGTaZz5RdffIHq6mrT1k4A1gF4Feaggffffz+vTEFERNlgsAARhR6DBYiIiEg1uQULyFaDqjeoR0TucDPdsblkPMsQOC8aTb2CU56y+CoANwK413KLnRTHqXg1cb127Vps2bLFtLUcwEIAN1vu//LLLxdsKYJcJp2ISH1uZ+VxQqbDqhhAoOJxSWt/JJI8j5q3u0X2WWZ6zbq6OsnW4wD0AXAsgH6WWxksQEReKcp8FyKiwmbu4BXo+AMREREFiB4sYL/2Zi7pMImocLibWcC95wbCGywgBnSYV0WK2RZat24teXTX5p9dLLfI72+3Tfa25auqqkqydTSA05t/vxOAHvSwd+9eNDY2oqio8IYy5dkcGOxHFHRBKHuaTRkCc+CgCrT3NBJJKF+GoHfv3pKtceH3VoZbOnfujNLS0qzbRkSUC2YWIKLQC0INMSIiIgoXrX8SF8aPMk0cMFiAKNzcvK5paDCXIXDuuQFj28N03DKnfxZXcIqTMiNGjJA8Omb6qTv++ONzbpP8XOL8xHXnzp0lW8uF340TJO3atSvIQAFAngac4xJEwReETKbG44/19myynPlBa1M0amy/222VB9alP1d2794dxx13nGmreF4zBgucddZZiMgiOIiIXMBgASIKPTfTdRIRERHlQuuPGOuEpn+MbGKBkw1E4WEOKHI3s4Cz10xi21WcjHCL+W9NVYZgyJAhOOKII0yPlgcLlJWV4ayzzsq5TV6lxD/00ENx0EEHmbYWpfgdGD9+vPONUIT4PdCCBJnxkCj4rEF86o03ZpNZQMX2+xUskOt11yWXXGLaIp7rSlp+Kysrw3nnnZdT24iIcsFgASIKvSCkBSMiIqJwkZUhyNRH8Sp1NBGpyc0VjPX13mUWUHEywi3iJE00alzBaX4fbrvtNpSVlQlb5MECt9xyC9q1a5dzm7w6l0SjUVx88cWmrTHp75FIBOeff77zjVCE+P5qE3MM9iMKviBkFsgULCBmvFH5uBSJGIMF3A64kgXW2fl8R4wYgZtuuknYIp73kpkFSkpK8NBDD6FXr155tZGIKBsMFiCi0AtC552IiIjCRVaGIHOwgGzQKjyTbkRhZx7Ed3LS3Vyn2OlrJrHtKk9GOM2c/jlVZgEgmV3g6aefRrdu3Zq3aHdORhiUlZXhjjvuwJQpUxxrU6q2OOWiiy7Cz3/+c2GLPFjgd7/7HQYNGuROIxRgzCyglSHg+Zso6IIw3phdZgH325MtMbNAJGI/yNqp102+dvJ17QYoXHLJJXj00Udx5JFHQswsEImUYfTo0Vi6dClGjhzpYGuJiDJjsAARhV4QOu9EREQULlp/JN8yBOzXEIWH+Rjg5P7vZbBAmI5b4t8aiQCxWPoVnEOHDsWaNWvw4IMPomvXHgCAeLwVZs2ahQ8++CDvQIFUr+vWZxKLxfDQQw/hkksuac6aIAYLFGG//fbDXXfdhYsuusidBihCnGDSggTDtB8QFaogjDeKK+SjkpmibK5F/KAFRieDBcTt7r6ueK7UsgJl85qjR4/Gc889h1//+n9btv3pT3fh0UcfxZAhQxxqJRGRfQwWIKLQM3fmWBuQiIiI/KZnFhBXyKRfZZhr7UwiKgzm6xgn9/+GBndLtxnLEDj73EFhzixgDtDQFBcXY8KECRg8+HAAQFlZG1x44YV5lR4QyT5bWbplp8Tjcdx000348MMPMX78aS3bb775D3j33Xdx1llnufbaqhDP71r5IRUn5YgoO0Eoe5pdZgH1Mp5o76nXZQjEzzKXYAFNx45dW34vL++YZ6uIiHJXlPkuRESFzdyZC+vgFBEREakjl8wCXtWZJnJDY2Mj/v3vf+PZZ5/Fjh070KZNG5x00kk49dRTUVJS4nfzAsE8iO/k/l9fn/618iU+X5jKp4h/azSqTziYb5PRrludvn6VTbB4cY3ctm1bHH74UViyJPn/4cN/hng8HBfnskknjksQBZ91vFG981umYAEtxT6QOojNT1r7IxH/Mgskg7sjOX2+Yjv37cu/XUREuWKwABGFWiJhXSURpsEpIiIiUpPWH2GwAIXBe++9hxkzZmDdunWG7U8//TRuuOEG/OUvf8HJJ5/sU+uyU1NTgwULFmDRokXYuXMn2rdvj9GjR2PixInNadbd42YZAnOwgJtlCMI0SWqseZzdpIz2WKevX2XP59W5xFiOIjzX5QwWICpMbp6XnWI8D1mjxcQgNhWPS1r7o9GEIbOA2++1GGSRT2YBMXNTXV14zntEpB6WISCiUOOgOhEREalIzCygDdxl6qPIVrOwX0Oq+/DDDzFhwgRLoIBm69atOOecc/DCCy943LLsLV26FL1798b06dOxbNkyvPXWW1i2bBl+9atf4bDDDsPy5ctdfX1rbWTnBp3NZQicnjBgsAAAJLKalHErs4CfJW3E11FxBatbxO+BVn4oTMESRIXKnKlFxX55pnT92QQu+0EPFoCnwQJOlY8Rz3u1tfm2iogodwwWIKJQY7AAERERqUi2SsbuxJHxeTjZQOpKJBK48sorUV1dnfZ+TU1NuOKKK7BP4fysK1aswC9+8Qts375dentlZSWmTp2Kf//73661wc3yaubMAk7XAhbbHqbrMfF9jEbNtaHTP1YLEHN6Ut3Pa2QGjeS3QpWI1GIN4vOnHelkKkNgPC+pd12htd8cLOB0P8VMPEdpx+1cXlN8nn371Ht/iSg8GCxARKHGYAEiIiJSkTGzQPL3TANQsj5MmCZbKHjWrl2L9957z9Z9t2/fjn/+858utyg3DQ0NuPLKK9GYYYdrbGzElVdeiQaXlkybB/Gduq5parIGHjm/ml1//jBdj5nLEGQzKaN9jZyevJFfI3szgSH+LWE6f7EMAVFhCkKwgPk8ZCaWJlDxuKRdH0UixmAH9zML6L/H47m/pnjeYxkCIvITgwWIKNQYLEBEREQq0vojkYg+cJdpskaeWcDhhhE5SJ6WfzCAZwCMtHl//y1fvhybNm2ydd/vvvsOy5Ytc6Ud5mOAU4P65qwCgPPHFuOK8vAMlovvo3a8j0SSMx+ZYkrcysagSmaBMGXGSST0v1UvQ+BXa4jIKdZAO/WOa9llFnC/PdkSyxBo509xu1uMmQUSzduy/3zFc73CCbSIKAQYLEBEocZBdSIiIlKRrP5mpj6KbGJFxUE9Is3u3bslW/9/ABMA3GTz/v575ZVXJFtHAFgB4ASb98+f+RjhVApe2aS10xMeYU0/by5DAOgTM9mUnnHyPfPzXCK+jksJOJTEzAJEwVRfX49//vOfGD9+PI477jiccsopuPHGG/HVV18BsO7HKo43ZhMsoGL7tXOWGGANuF+GQHz+fMrHiN+R2lr1gkmIKDyK/G4AEZGfxAh+TZhWMBAREZGatP5IMlggASCScQBKNrHg9kAZUT46dOgg2bpf8882lls6duzoantytWfPHsnWq5AMGNiLZNBApvvnz5pZwJnrmoYG2TWTI08tfT4VJyPcIgsWKCpKTpRnPuYbU/ZraZDz5WdmAfF1wjRZLg8W4LgEkco+//xznHPOOVi3bp1h+5o1a3DvvfdixowZaGq623Cb6uc3WRkCMVhA1h/wmzGzgHW7e6+rv5hTwQJ1dXk2iogoD8wsQEShxjIEREREpCJ94CvRMnCXzSpT/XnUG9Qj0owZM0aytaL5Z8xyy9ixY11tT646deok2dq6+We5zfvnz3wdE6wyBGGtVa//3dokh3bMzzQp49YqfHXKEHjzmiow1r5mGQIi1a1fvx4TJ060BAqI5syZg82bfzBsU3G/lp2HRGIAgYrnZy3oLhJJGNrqRxmCXIK0xf7Pvn28biMi/zBYgIgK0vvvv48rrrgCRxxxBAYOHIjjjz8ed955J7Zt22a4H4MFiIiISEVafyQW0wfpMg1AyfowKg7qEWkOOeQQHHPMMaatWrCAMRFiz549MWrUKE/ala1x48ZJtmrLvK0JHcePH+9KO8zBQU5d14iT1slMJ84fWzhJLGYWsPceG98z5yYY5NfI3kxgiN+1MK2sl2UWCNN+QBQ0t9xyC7Zu3Zrxfjt3Gssnqdgvz1SGIBIBYjF3zv1OkJVuE7e7/bqAntknl/dHDPZjGQIi8hODBYiooDQ2NuLqq6/GSSedhMcffxzr16/H1q1b8fHHH2PWrFkYOnQoli9f3nJ/WeeR6XqJiIjIb1ofJTlAZ9yWijyzgLPtInLaX/7yF3Tp0kXYYg0WKC0txQMPPICiIjUrKR5xxBH48Y9/bNoqDxY47LDDMHToUFfaYS1D4MzzipkFSkqSP53PLCD+Hp7BcuMkTfI/2jE/m2ABJydw/DyXuJUtQXXGYAF1J+WICNiyZQueffZZm/c2ZklSMeNXpmABwP61iB+09puDBdwe2zVmFkj+ZBkCIgoyBgsQUUG56qqr8Mgjj6S8vbq6GtOmTcNbb70FQH4BzotyIiIi8ptslUymAUbZ7ezXkOr69OmDpUuXYvjw4QAiANo335IceR04cCAWL16Mo446yq8mZhSJRHD//febgh6Km3/qwQKdOnXC/fffj0iq0fg8mfd3pwbKjcEC2kSms3+DOMCu4mSEW+SZBZI/M73HbpVukH1vvDqXiO9HmM5fstrXYfr7iYLkP//5D+ot9Xl6AXgdwA2m7capFxXPb2KbtKA1Mz2ITd1gh2jUGOzgbWYBrXxM9u+PeKxnGQIi8hODBYioDWDK7QAAIABJREFUYHzxxRe4++67M96vvr4eN954IwB/UywSERERpSIGC2gDX9msMtUwYxIFQd++fbFkyRI8++xKaMMU5eVtsWTJErzyyis4/PDD/W2gDf369cNrr72GkSNHNm+JG34ed9xxeO6559C/f3/X2mC+tnFqUF9MDa8FCzh9bHFrlbzqjJM0yZ9aqYdMK+vdmliXXQ/7kVlAxUk1t8jSWScSHJcgUlFNTY1k62kAjgZwPZKBjxr1gwXsZBZwqwSRE8RsbGKwg9vvtfi+5ZN5Qexj1dbm2SgiojwwWICICsb9999v+77vvvsu3n//fekFuIqddyIiIgoXbZIvmVlAW62S/jGy21VcAUSUSrduA1t+Lytri+HDh7u2Ct8N/fv3x/Lly/HRRx+hQ4euAIBOnfbDqlWrsGjRIuy///6uvr75GODUdY2sDIHTEwbisSpM12PiZIOWWSC3MgTO7Sfyc4ljT5+WMVtCcPb9fMlWqKo4KUdEQNeuXSVby5p/xmEsPVAYwQJ2z0t+0ALcIhGvyxDob5Ye5JXL8+i/19aG57xHROphsAARFYzXX39dsvUmABsA/MRyy+rVq1NkFnC4YURERERZ0lNqJoQyBOkf42edaSIn7NypD5IGuV75gAEDUF6eLKfQtm1HHHjggZ68rnly1alBffGz0DILOH1scWviW3WyYAG7aejdysbgZ5Ya8bsW5GNAtsT9SeVJOSIChg8fbio7BIglh9IFC6i4X8vK4ZipfFySZWMTt7v9ukB+QV4MFiAiVTBYgIgKRq00X9P/AOgJYJL0/gwWICIiIhVp/ZFYTB+gyzRZ42fqaCIn7NqlD1EEfaKwri7508u/wzxI7dT+L6bILS6Wv1a+xLaG6bglHrf1MgTJn5mCJsTPxdkyBNZtXgVwuFVaQXWyMgRh+vuJgqS4uBjnn3++aas8WCASKTLcS8Xzm53MAnoQm3qT2bIAa8D991o8RudThkB8T1mGgIj8xGABIioYvXr1kmxtHs1qqRmq69GjB1fgERERkZLE+pv6xFH6x8hu52QDBYmYWUDFAelsaBO5XgYLeFOGQMss4Ozn49YqedXJMwvYW6Ho1sS6nwH14t8Rputy8Xugff6JRMSzjA5ElJ3LL78cJ554orBFHHNMzqzH43G0a1dheJyKfRs7wQJaSTQVz8+yayZxu9uvC+iZBXJ5TbGfyMwCROQnBgsQUcGYOnWqZGvM9DOpbdu2GDVqFDMLEBERkZJkKTUzTc7J+jCcaKAg2bXLnZXSftAm2MXV326zBgs489qyzALOlyEonM8+G+L7qB3r7aZ7Nk6sO/c9k503vAsWKJyAoWyIn19Rkbjdh8YQUUbxeBx///vfcdlll6FNmzYwZxYYMmQIFi1ahHi8leFxKvbLZUFrZiqXIdAzCxjb7/Z7LT6/nlkg+/OWeJxnZgEi8hODBYioYEycOBH9+vUzbdU67MZggfPOOw9lZWUpBkLCMyhBREREatImScSBr0yTBvLMAuzXUHDs3Fk4ZQj8yCxgPgY4NagvZhZo1Sr31XPphLcMQfKntmoTENM9p3+seLuT3zPZecOrCSK3/ibVyVaoAmpOzBFRUnFxMW644QZ88sknGD361JbtTz31DF566SUMHz7cMuao4vktkbCWwzHLJ82+22QB1uJ2t4jnSq18DDMLEFGQMViAiApGPB7HM888g44dOwpbrZkFRo4ciZkzZwJgbV8iIiJSk7hKJhazNznHjEkUdOYyBCquwLNLzyzg3Wuar23cCBbQMgs4PYlpLEMQnsFyMX2yRgsQy5SVwq3SDX5mqQlrOQrxPRczC4TpPSAKqvLycvTvf3DL/w855Ectv7sVxOckO2UI9MwC6p2ftfYnyxDof4yXZQi08jG5vKb4njKzABH5icECRFRQBg0ahBdeeAETJ05EPB6HGCzQpUsXXHvttZg3b17zbRxUJyIiIjVp/ZFYLJFFZgH/VoMSOUEsQwAEt1+eSAD19VpmAe8G1s37u1MTvOLfUFLiTt3isNeqF1Mna5MOmd5jMTjE7WABryaIxNcJU8Y/Y2YB+XYiUpcYVGc8jhnvp+I+bSdYQDtHqXhdoZ0rIhFj+90OctPei2jU/rWaDDMLEJEqijLfhYgoWPr06YM5c+Zgy5YtGDQoeaV93HEnYsGC91qCBDRiRzceT6C+PtgrmIiIiKgwiCk17Q5AMQiSgk4sQwAkB1BjsRR3Vpg48OttZgHj/93ILKAFC4hpi51grFXv6FMrTRYsYLc2tPjdcnJi3c9zCTML6MEiye0RABygIFKdeDxOF/ym4sp8sY2RiPx4o2U5U7E8jF9lCPTAbv11c3lN8TENDRE0Ngaz70tEwcfMAkRUsDp16tLye+fO+1kCBQB5BH+YBiWIiIhITWJqavuZBazbGARJQWLOLKDioLQd4uS6n8ECTk0gGzMLJH86fc0ktj1MQU7iikiNvoJTnTIEXl0ji68T1P0/FyxDQBRsdoMFVOyX28ksoB2XVDw/ywKsxe1uEYP98sssYHzTWYqAiPzCYAEiKlh26l6KHTm79YCJiIiI3KanthQHoOxPHKXbRqSqnTuN33EVV+DZIQYLNDVFPFyVbX7/nHlecRKkuNida6awriiXlyFI/kw3WZ5IuFmGINLcJu9qP8teJ0zX5eJkHcsQEAWPsQyB/rs5C4+K+3R2ZQjU65dp7Y9EEp4GC2jvRTQqZgTK/v0xn79ZioCI/MJgASIqWHYGnMROsR4py44ZERER+UufrNEnbLIpQxCPa49hv4aCw1yGIKiTxnV1xv/7sSobcG6g3FiGQP5a+TJOEofnuKVnkdEvTO0EsZtvc3IVvvbc4gp3rya4xBWWKk5KuUX8zmufPxDcYyBR2BgzC6QO5FJxnxaP79EUM0V2y+P4QQy6E4Md3M7ioGc00IMUcnlNBgsQkSoYLEBEBStVGjCReFGuclotIiIiChdtsCkWE1fzpH+MODjJ8koURIVYhkD2f7e4FSxgLEPgTiBSWDMLiOmTNXYmZayftXOfhzxYwJvJi7B/DwBjZoEwvQdEQWa3DIGK4412MgtoQUwqHpNSlSFwO1jAmAUu96xL5r4uyxAQkV8YLEBEBUsc0EjVYTPWBkx27lSsIUZEREThkstqFXlmARcaR+SCpiZrsEBQVxabgwO8+jvMxwh3Mgu4k5o+3UrMQqZnFtC3acEC5jrGIjdXq2rPpV0fA/6UIQhqsFAuZOfv5PZgHgOJwiZTsIA2max6vyZ1sEDyp4rXFeJ51MsyBNrzi4Hdubym+TvBzAJE5BcGCxBRwTKuSpB3tsT7cAUeERERqUI28JVpAErWr1FxUI9IZs+eiGViLKiTheZgAa/+DusEsjMDzmL7tTIEgLPHl7DXqhcnOLRJ+vSZBcyBNc63KRbTyyP4UUojTN8D4yIG+XYiUpd43pcdx7T9WsXFSWLfK1UZAm17uiA2v2jvaSRiLOnj9nstK3+Qy7nS/Jh9+/JrFxFRrhgsQEQFy14ZAv13lSNliYiIKFyMqS2Tv2daYSjLmMR+DQXFzp3W73dQg3jr6oz/964MgTsTyPX1+vMWF7tTT118rkQiouSEihvMwQKbNm3C+vXrAAAbN27Ge++9J32cm5kFxJTOXl8j2wn4L0SpggWCegwkChvj+GPy2JVIJM9ngL5fq7hP2ytDkPypYvu16yNx0j653d3X1T7nfM+V5ve0ri485z4iUguDBYioYNmpd8hBdSIiIlKROPClTSJlGqATJ1b0jEkccKJgkAULFEpmAa/2Q7dqI2t/T1FRwrUUv25OfqtMew8TiSZMnz4dhx9+OD799EMAwHff/YCRI0fi5JNPtgQNuJVFItkm6/nHq2tkcdVqWL4DgHGyTixDEKb3gCjIZIuVgjLeaCdYQOX2iwFufpQhEF9XCw7JhrmvyzIEROQXBgsQUcESV9+lusgWO3JapC/rAhIRUVjV1tbi66+/xrp161BbW+t3c0JLHLRL1sG0N0AnW5mo4qAekcyuXdbhiaAGu/hVhsCtYAFtAjce11fPAU5nFnAvrb7KtOvR3bt3YsmSJWhqagKg/fHJA/natWsxfvx4rF69uuVxbgZXaM8ViYirJb0PeAlqsFAuxPdXzCwQlgwbREEnK0MgHs9ULg8W/MwCyZ/RqDmg0d3zlp4FLpFXYJ25/8MyBETkFwYLEFHBspPCkGUIiIiIgG+++QYzZ87EgAED8JOf/ARHHXUUDjnkEFx77bX49ttv/W5e6Ih9EeNqlfSP0yd4EojF1F0BRCRTyJkFvCtDYPy/c8ECyZ/mzAK5rKBLxa1AB9Vpf2djo/gl0T5IPTKjpqYG559/fksgnxdlCGKxRF51mHMhq/UdBqnLEAQzYIoobOxnFlCvzI7YzlTBAnqWM3WPSZGIsf1uv8/6udJ+YLcMyxAQkSoYLEBEBUvWWTcTt2vp/lTruBMREbnpjTfewIgRIzB37lzs2bOnZXtVVRUeeughnHDCCXjzzTd9bGH4GIMFErYDGrV+TSzGIEgKHlmwgIor2OyoqzP+368yBE69rh4sgJZApOTzO/L00ucK6mefraqq6ubfxItQ7UK2yHDfH374AUuXLgVgXTHp5LFeTK3sdeCZnYD/QqS9v2KwHxCe/YAo6Izjj8ljV6ogINXGHLX2RCKpGxaMzALeliHQ3rdsSsbJmB/DzAJE5BcGCxBRwRI7hqk6ibLOu4qdXyIiIjd88803mDJliiFIwGz37t2YMmUKNmzY4GHLwk3si4irZOyWIfCjzjRRvliGIH/m98up/b++Pvm8RUXGVXtuBguEpTTcunVa9h7xw7JmFtAsXrwYgPU75eS+4tQESC7EvyNM1+XGAA19e5jeA6Igky1WMi5Ost6uCj1YIPV9VM5YpgdbeRssoJchyO+6Syv1pKmtDUf/h4jUw2ABIipYdgYaWNuXKNgSiQT27NmD6upqJFQL0ScKgPvvvz9toIBm9+7dmDNnjgctIiB1GYJMk0Ha5FoyHaa9xxCpgmUI8mfNLODM82rtj8cTholMp66bEglrcIBqkylu2btXW0IovpnyzAIAsG3bNgDW98fJfUU2AeJVN1v8u4K6/+ciVbAAxyaIgkE8z2vHMbFUj1aGAFBvvxaPP6loxyUVj8ti+8XsCO6XIYi0vK5+rsy+zIT5+2DOTkVE5BUGCxBRwbJThkBeQ8zFRhGRI7Zu3Yo//elPOOyww7D//vujb9++OOqoo3DnnXdi586deT9/VVUV5s6di+nTp+Occ87B1VdfjTVr1jAggQpKbW0tnnzyScktHQFUWLYuWLAA9V7NeIWc2BcRJ/7tliGIRhPMLECBs2tX4QQLuLnqOx3zNY9T3Rbt74nHjZMJTk3oy45TYQkWKCoqbv5NFixgzSxQXl6evLdLgSHJ59YnQLwuaSP+HWE6f8myOQDhybBBFHSZyhConFlAky6zgMpByFpQhpiNDfAys0DCcNzOtu9l7jPu26fee0xE4WANUyYiKhDGVQnyzpYY6asPhLBjRqSytWvXYvLkydi+fbth+zfffINZs2bh4YcfxsKFC3HwwQfn9Pxz587FzTffjOrqasP2Rx55BEceeSQefPBB9OjRI+f2E6niu+++k2QV6ADgGyQnLfoA0INvdu3ahR9++AE9e/b0rI1hJfZPkhMH9gIatb5PLKanC1V1QJLIbOdOWRkCHxriAPOqMK+CHtzLLKCVITBmFkgeq/KPSJC1MywTxd26aX1K8X1MnVlgxIgRANwrOSE+VzSaQKR55sWPgBcVJ6XcIgvQAIJ7DCQKG9liJXPwr0a185udMgQql22VlWETt7v9umJgN5B8j9JlaTAzv6csQ0BEfmFmASIqWGLHMFUnUVZDjAuHidS1ceNGnHnmmZZAAdF3332H008/HTt27Mj6+e+77z7MnDnTEiigefvtt3Hqqafi+++/z/q5iVQTkY4IHQqgNYC2AAZ52yBqYSxDoE/OZeqjyAat2K+hoNDKEJSX6ztAUCcLtcl1jVfBAuYBZ6eCoN3OLCAPFgjmZ5+tigotk48ss0DccN/S0lJMnjwZgPU9c3JfMabE9zb7nvi5qzgp5RZjzW1105UTkZysDIEskylgDApWgRislIrX54Js6JlZEp4GCxgzwuR+3Dafv1mGgIj8wmABIipYYofLThmCeJwr8IhUd99996GysjLj/TZv3oxHHnkkq+dev349fve732W834YNGzBr1qysnptIRd27d0fbtm1NW8WUx8ZJioqKCnTt2tX1dpGxLyKm1MzUR9H6PuLKGhUH9YhktDIEnTrpA65BLUNgrtiSKsuZ08wDzs5nFnBnIlPWzrBck2mTNGKd5VSZBX7/+9+3BBdYS1042abkT/Fc4tXnYcws4M1rqkDM5uBGQA4RuUuWWUC2OMm8XQV2Mgt4fS7IhnjOEv8GtwOm9TIE+WU0ML+nLEOQXiKRwA8//IAvv/wS27Zt87s5RAWFwQJEVLBknXUzWVowDqoTqWnfvn144oknJLe0gnlSEwDmzZuHpix26Hnz5qHR5tXv4sWL02Y3IAqC4uJinHXWWaat4sSEcb86++yzEY9b9zVynjGzgP2Jf/kEDwecKBi0MgQdOuhf9MIJFvDmdc0D405d1+iZBRKupEiXZRFQcULCDdpn1L17N6HMj/YFSp6TS0tLcfvtt2Pq1KmWx2mc/I6JWWrsZrZxip1r+EJkzOagbw/Te0AUZMZjV/KcZswsoP+u2pijnWAB7bik4jFJbL+3ZQisQdq5vK75/M0yBHKNjY14/PHHMXLkSPzoRz/C8OHDccghh2Ds2LF45plnkGA6PaK8MViAiAqWnXqHss67ah13IkrasGEDdu/ebdpaAWA9gC+RDBrQbd68OatSBC+99JJk67kAngCwn2FrXV0dVq5cafu5iVT1P//zP6bsAmJmgeKW39q3b48LLrjAs3aFnTmYUQ8WSD94pPV9YrEEMwv4YOPGjbjllltw+OGHo0ePHjjggAMwbdo0vPrqqxzAskHLLNCxo7hyPZgDpn4FC1jLEDjzvFr7k5kFnH/+MGcW0A4NpaUlWL16NR5++GEcdFA/AEA0WoxZs2bhgw8+MAQKANbrWyeP9caU+NrrOff86di5hi9EqYIFgnoMJAobWaCTWG5Ay2Qq3q4KfbI9dV9VDxZQ75gkO2eJ291+XXOwQDZlJhIJ63taW+tE6wpLbW0tpk6diiuuuALvv/++4bb//Oc/mDFjBi699FLbi3+ISK4o812IiIJJvLBO1UkUx221GmIcVCdSk7zjfySAzs2/DwLwjo3HyFkDEQDgDiQDEtYA+JON+xMFS+/evTF//nxMmTIFu3btgiyzQPv27fH444+jR48evrQxjMyZBezWCdWDBfTHcMzEG4sXL8all16KWmGEr66uDkuXLsXSpUsxYcIE3H333SgpKfGxlepKJMRggeBnFjDXm/WuDEH6/+dKLEPgxkSmrJ1huSYTJxvi8TjGjRuHL78sxf/9H1BU1AoXXnih9HHWz9q575hstaRXk9bi64Tp/OVU7WuidN5//3289dZbqKurQ48ePTBq1CiUl5f73ayCIAYJascuWSZT83YViJPtqah8XZF60t7d1xWDtHPNCCP7LjCzgNXMmTOxfPnytPdZuHAhunXrhuuvv96jVhEVHgYLEFHBspPCUBxU0TMLsGNGpKKePXuipKTEMBEjrnw2rogG2rVrh44dO9p+/oqKCmzcuNG0VVtx3cZy//bt29t+biKVDRs2DC+//DIefPBBzJtXhZqa5Pby8g6YNu0SXHDBBQwU8Ji4IkUc+Mo06CUbLOOCdve9+uqruPDCC9MGqC1evBglJSW4++67PWxZcOzZE2nplxdCsIBfmQXMg85OXdeIZQi8yiwQlmsycZJYo006pPveuBUYIj5XNJrwObOAN6+pglSTXWF6D8g9b775Jm688UasXbvWsL1NmzaYNm0arrnmGhQXF6d4NNkhG38U91+xkluyn69OB91OGQKvzwXZEAPcxPfV7aAMJ4K8ZOd5ZhYw2rBhAxYsWGDrvnPmzMFll12Gdu3audwqosLEMgREVLDsDDSInTgtLZhqUb5ElNS6dWuMHz/etFWsn24MFpg8eTKKiuzHRY4ZM0ayVXtOY532srIynHDCCbafm0h1vXr1ws0334w77rizZdv//d/tuOmmmxgo4AOx35LNZI02WCbWmXZrUG/fvn3417/+hfvvvx9z587FRx995M4LKS6RSOB3v/udrUw2Tz75JD7++GMPWhU8O3fqI9QdOoipeoM5YexfsIDx/XIjs4A4IO7U88sCA1SckHCDbEWnGMSe6trUzWAB7TWNZXCce/50whsskPwCRCLIeYUqkczy5ctx2mmnWQIFAKCqqgp33XUXpk6dinrziYuyYgwWSO7PsvHG5O1etcoeO8EC2nlJtbYDxvZ7WYZAD6wzvnfZvK7s/WRmAaMFCxagyfKmRgAcYLnv3r17sWjRIk/aRVSIGCxARAXLTr1DWVowBgsQqeviiy82rXoQf9cDA8rLyzF9+vSsnnvKlCmm9NBi8IEx6ODMM89EmzbWbANEwad/75uaYmnuR24S+yKRiD4AZbcMgTho5XS/pqGhAX/84x8xZMgQnHfeefjtb3+LmTNnYsSIEfj5z3+O//znP86+oOLee+89fPjhh5Jb5Jfaf/vb31xtT1CJwQJiZgEVB6XtsAYL+FOGwKnMItrf42VmgaB+9tmSZRbQyuMBqQNNzNe3Tr5fYpu0a2QvstSYazcHNVgoF3pmAWM6a2YHonxs374dM2bMyBgI8O9//xt33nln2vtQaomEPLNAUMoQyM5DZvp4qXrHZeMKf3272++zrGRPtq8rO88xWMDos88+k2z9C4AvAVxnueXzzz93u0lEBYvBAkRUsOzUOxQ7cfoKDhcbRUR5GTRoEB544AEhYMCaWaCsrAzz5s1Dnz59snrurl274o477kCkJSzcWrsdAAYOHMg6aFSwxAELbSUpec88uGg3oFGsnelGnenGxkZMnz4ds2fPxo4dOyy3v/3225g4cWLGmpKF5J133pFsPRZAJQDrwLv8/rR7tz400alT5olS1dXVGf/v1d/h1mpzrf1FRe6sepaXIXDmuVUnrijXiImxUgcLmP/v3LFezHbgZepp82celoARwFiGwLiPsS9GuZs/fz6qq6tt3Xfu3LmoM5+8yJZU514x2CfomQViseSdVGs7YAy2Ev8Gt4OtnCgfI88skF+7wuH45p/D/GwEUcFhsAARFSxZZK8ZgwWIgmfs2LF4/vnnMWHCBESjpS3b4/EynHnmmVi+fDmOO+64nJ779NNPxyOPPILu3bvDGCxQhEgkglNPPRVLlixB27Zt8/sjiByUSCTwxhtvYPr06TjooIPQs2dP/PjHP8bNN9+M9evXZ/Vc4rmT2Uj9I/ZFxAGoTBP/sskGJwf1/vKXv2Dp0qVp71NfX48ZM2Zg69atzr2wwuSr9c4G0Lb5p1FDUGe/XVb4mQW8eV3zdYxT1zVa8Fg8bhwQT9Zdzl+4gwWSP1MFC6SaLHazDIH2mtmcf5x53fT/L2Ti+TsSUXdSkYLlH//4h2TrMACXAigxbN2yZQtef/11L5pVcMzneD2zgH7cDEJmgXTBAl4GjmXLr8wCYpC2MSOM/fOlrH/IzAJGAwcOlGzt1PzTWnb0kEMOcbU9RIWMwQJEVLDs1Ds0BgskmrexY0akusGDB+PBBx/EDTfMatn2wAMP4e6778bBBx+c13OPGTMG77zzDu6776GWbYcddhTWrFmDuXPnon379nk9P5GTGhoacPnll2PChAlYsmQJKisrUVtbi40bN+Kuu+7CsGHD8NRTT9l+PvF8yTlN/4grYZIDX1ofJf3jjHWmE5bnykdDQwPuvvtuW/etrq7G/PnznXlhxfXu3Vuydf/mn8WWW+T3JzFYoEMH/YvuVfp+p/lXhsCcmt6Z19XOB/F4wpXMArLrr7CsqNYnOfSDtbaCE0h9LnZzFb7xXOL886cS5mABWekHIFzvATlvy5Ytkq2LAdwF4Eyb96dMrMECkeaf+ra4kBBRtTFHMZ1+Km4EITvFHGQt2+4GJ4IUmFkgs7PPPhuxmLk8Ysfmn8btZWVlOO200zxpF1EhYrAAERUssdOVqjMubhdXcLA2IFEwxOPlLb+XlJQ59rxFRUU44YSRLf8fOHAwJ3hISddddx2eeOKJlLfX19fjkksusZ0WXpycqatTayArTMTPwbiy097j3Mgs8Prrr2PDhg2mrXEAFwA4ynL/p59+2pkXVtxJJ52ETp06mbb2bf5pDRaYPHmy200KpF275GUIVByUtsM8cRD0zAJa+2Mxd1Y9y54nqJ99tsQV5Rp7ZQiM52gnJ0XElM5a4IIXK2HdCnYJglRlCFRbgUzBUlZmvj6OAeja/Ht3y/1LS0st2ygzc0CgnllA3yaWIVBtv7ZXhiD5U8XjcqpyAG6P62qfsxjYLbbH3nNY309mFjDq3r07zjnnHGFLa+iZUYyZBS666CJmASXKA4MFiKhgiZ0uO5kFVK4hRkRyYk11py9cxcFZrrAmFX311Vd45JFHMt4vkUjg5ptvRsLGiAnLEKjBuEJGr7+ZOVgg+TMWs/8YuzZv3izZ+gsAcwD8C4DxGPz9998788KKKykpwYwZM4QtEQB9mn+PG+574IEHYtSoUV41LVC0zAJlZQm0apV5VbXqzGWfvbq2cC9YQC9D4MZEZpiDBcSViRpjsIDdMgTO9YNlqyW9CRYw/l+1CTU3aYsYIhHzClVOGlHujjnmGNMWsV9inGSLx+P46U9/6nqbClHqMgT6NvG4rtqxzc6kuhY4puK52VjGxbpd5dcV38+ysuR7zMwCVrfccgvGjBnT/D8xSFvfsX75y1/i6quv9rRdRIWGwQJEVLBKGK/cAAAgAElEQVSyLUPACH6i4BEnM52+cBUHXYM6WUGFbd68eSlusXbxP//8c7z55psZn1Pcj8RgHPKWOZ2m1kfJpgyB0yuA5KvNtIwrnWFeRR+m1WmXX365kPKyO/TVLlFo6TG7deuGxx57DEVF1tqaYZZIJPDaa6/h5ZffAwDE41WorNzWcruKK9jsMAdbeXU8dSuNu/b3FBUlDBOZbmYWCMv1mPZ3ihMNWnk8IHUf1M3sFcbVksnf/QgWCFP/O1VmARUn5ig4zjvvPNOWohS/J0vxdenSxfU2FSLzsUrbn1MFC6i2X4vZZFJRuQxBImEso6BlQHI/WEB/3Vz7RuJ3Rw8WCGbf103FxcWYO3cuHnjgARxyyLHCLUU49thjMW/ePNxxxx2IpqulQUQZcQ8iooKVbbCAypG+RCQnDsY7PaBozCzACzZSzzvvvCPZeiuAHQBOsnl/I2OwQM5NozyZgwX0mtHpj0VuTvAMHz4c8XjctDX1oLN1NVvhisViuPfee3HbbbehW7ejDbeVlrbD1KlTsXz5cvTr18+nFqppxYoVGD58OH7xi1/gvfe+AQDs2vUNDj98SMt9gjpZaD5+evV3uJWaXgt2MGcW0Abo8yVrZ1hWVMvSP4vvcarvjvk9c3ICR5bS2YvAHbeCXYJAnKzLNZ01kdmQIUNw/vnnC1vk/bZOnTrh+uuv96xdhcYavJU8XornMZYhcI+5/dp5y6syBLFYwtQ3sv8c4neBwQLpRaNR/OIXv8ANN9zZsm3w4MPx9NNP4+c//zki6b7ARGQLlzUQUcESBxcSiQiamozRngCDBYiCTlyp5/R+yzIEpLp66Wz+VADtAEwA8JKN+xsxo4YaUgULZBp8Ele4aOlCnRoo69KlCyZNmoQFCxYIW1Ons7WuZits0WgU559/PsrLL8Sll+rb33xzDXr0aONfwxT1z3/+ExdccAGaWr7sFc0/K1FfXwegAUAR9u0LZtSS+XDrxaSnbF93alBfOx/E43oN++TzO/L00sCAsEwUi8dtjRiXleozdCswxNwmPzMLqDgp5RZmFiC3/OEPf0BRURHmzJkDWb+tb9++ePTRR9GnTx/p4ykz88KCoJYhsBMsAEA6tuonc2YEp0uxpSIr2ZN8XfvnLvG7wzIE9uzYob/ZiQSnNomcpNChnYjIWebBBXl6S/0+YrpH1TrvRCRnzCzg7ICieBxgZgFSUe/evSVby5p/Fltukd/fSAwQqKvL7nufSCTw6quv4sorr8Q555yDCy+8EAsWLMDevXuzeh4y9k+SA1D20mnqK1zE1aDOtWvWrFno1EmsEykOOuujiJMnT8aRRx7p3AsHyIYNMcP/W7Vq61NL1LV161ZcdtllQqAAIAYLJCUPRitXrvKyaY4xHz+96EfI9nWngoX0MgTu1AOWtT0sk6SyMgRiQEaqwD03J9aNE9fepHMG3A2AUF3qSSd/2kOFIxaL4ZZbbsFbb72FqVP/v5btffocgIcffhirVq3CgAEDfGxh8JmP05mDBdQaWxCPP6m4ESjoFPGcJf50+/gpy+iW7euK72V5OTML2LFjh/7+qPZdJAo6BgsQUcGyk8ZQ7MSJKzhU67wTkZyYWcDpCwVxYJ/p2ElFZ511lmSrVifemC6+bdu2OOWUUzI+p7gfZZNZ4LPPPsOxxx6LSZMm4dFHH8WyZcvw9NNP4/LLL8eQIUOwePFi+09GlswC2moe+8ECCVdW1fTt2xfPPPOMsPrMms526tSpuP3225170YD59ltjsIBXteqD5LHHHkNNTY1pqzlYIPllfv/9jyX3VZ+53+BFP8LNCXetT2QuQ+DU82e6TitkskkacVLJfrCAc20ypsQ3bnOT+W8IU4aj1JkFeA4hZ/Tv3x+//vX/tvz/5JN/jnHjxklKTFG27AULqDvZbiezgHiOUr39Xp23xON2JJLb5yt+d8QyBG6XUAgyMbNAmPoJRF5gsAARFaxsgwXESNmwDE4RBV1dnf670xcK4vOpdkFMBAAnnHACBg0aJGyJAihp/t2YWSCZHr0843OKg9J2Jzm/+uorjBs3Dp999pn09srKSlxwwQX4xz/+Yev5yBwsYH/iXzbZ4PREw4ABA7Bq1SrMmTMHvXr1b9l+5plT8Nprr+H2228P9cDz+vXmYAGfGqKwJUuWSLbKMwvU1jZg5cqVXjTLUX6UIZAdH5y6ptEzCyRcWfUc5mABc/pkwBgskOq7Y35/3AgWELPU+FOGwP3XVIWYYUL8LoRlPyBvGLPy+deOQmMtQ5D8f6GWIVDtu2PO0GO3fFv+ryuWf7O2J5vnAPRgAcA4zkVGYmYBZgAlchaDBYioYJkHF2TZAsTBGTdSahKRu8SLA6czgogXwVwZSiqKRqP4+9//jl69ejVvKRVu1Sdrx4wZg5kzZ9p6TuP33l47rr76alRWVma835VXXomqqip7Txpy5swCdksKiMECbk7wFBcXY+LEiRg1amzLtpkzf8M0tgA2bDBeYnOwz2r79u2Sre2bf+5s/qkdjGLYtm2b+41ymPn46XUZAi0I2onJ1kRCb39RkXlA3Jm/S/Y8YVlRLcssIAaxp+qDpqqR7QTjxLX2/O5/HtYAiHB8BwDjpJPKK3gp2MR9it8t56TKLCC+x/G4ukFA2QYLqJaJ1VyGwLzdLWJGt1wDKcXvjlaGAGApgnS2b9ffbB7HiJzFYAEiKljmwYV0qTlZG5AomMRJGKcvFMSLYNWi54k0vXv3xrJly3DeeeehrKyzcEscffr0waxZs/Dwww+jSFzOkoa4H9kJkvniiy9sr/qtrq7GwoULbd037FIFC2QanNP6PrGYN3Wmcy1bUajq64FNm4yX2FzxYtW6dWvTlmLo2VB2N//UvlBFkvurzxwk4kWGCfH4oCX3cGJA3zjZ4c41k5slFFRnXhEJ5FqGwLljjSxLjTeZBYx/Q5iuycVFDG6U+iACzJkF2D9xSqpggURCf4/tZIzxixislIrKZRTM7deys7h9DhGD/cT3LpuMBsYyBPrvtbX5ta2QsQwBkXsYLEBEBctOGkOtEyemWATCNTBBFGTixYGbZQh4EUIq69KlC2bPno0XXtAn7Y88cjhWr16NCy+8ELFYLM2jjYzBApnv/9JLL0m2HghgEYBTLbcsX77cdlvCTPwcxMmaTINP+goXb1JHiwElYVoBmsqmTVHL5CwzC1iNGDHCtEUMBtjT/DP5ZY5GS3D00Ud70SxH+VGGQHwNbVDfif1f/FuSZQicnzAIc7CAbEWnWMkl1bHVzZT92msmJ0Ccy1KRibm/Hab+tyxAI7md51ZyDq9v3ZEqWCBVGQIxiEAFdia3g5DxRA8WSP50uwxB6sVn9j9f8b0UyxAws0BqxjIEPjaEqAAxWICICpadARQnakwRkX/q6sQyBM4+t3EwhRdrpL5oVJ9wKytrj2i65SEpiN91O8ECu3btkmy9GMBpAP5guYVlCOwRBxHFyZpMxzlxZaIXwQIcdDZav94amMPzh9V5551n2iILFkh+ofbfvz86d+6MoLFOenqbwl2bbHZiQF9su5eZBcJyPSZLnyyWIUh1bDW/P06+X3pAfcJ2sJoT3AyAUJ24QpXjEuQWliFwh7UsTPL/xmABdVfmZ1uGQLX2mzP0aD/dPn7Kyr8B2b0/4j5pDBbIt3WFS8wswIA6ImcxWICICpad1IyyeozJ7exwEAWBmxP6HEyhoNm7V//dTgkBmWzLEHTo0EGytV3zzzaWWyoqKnJqV9iYyxBog16ZjkXa48TMAm4evxgsYLR+vfXympkFrA488EBcddVVwpbUwQKHHXakV81ylDnYyosyBOZyAYA7mQXcmMiUXXuF5XpM+zuzL0NgfH+cPAaLEyB2zz9Ovq7+/3B8BwD5ew7wGoScxTIE7kiVWUB2XgbUCwISg41TUTnjibn9XgRMG1/X+N5l87rMLJCdRIKZBYjcxGABIipY5gGUdCtWkivwcuvcEZF/xMwCTg+miRceXgzyE+Vr797ssgLIZFuG4JRTTkHEsgxFm+WIm++OsWPH5tawkDEGC9jPEiBLh+nmgJ6xDIFrLxMYzCxg38yZM3HNNdcgHo9DFixQXJz8ApeUlHvfOAf4UYZA3NfjcedSx4t/izmzgFPlR1iGwPi+2qltbScwPleygHovro/tXL8XKvPKWC27RJjeA3IfgzzdYacMgbG8jPttyoa9zAKZM974xXz89Oq8pZ2z8ilrK76XDBbIrKoqYri2Uu27GHZ79uzBM888gzlz5mD+/PlYv369302iLDFYgIgKlp00huKgutgxZrAAUTAYV0c4+9ziMYOTPRQE+/Y5HSyQ+Xvfu3dvjB492rRVGw0rMmzt2LEjJkyYkFvDQsacWcDuxL84aKUN6nlXhoDHSWYWsC8SieCqq67C2rVrMXnyjJbtJ544DE899RT69OkJILiDgObP3a8yBE4EC5nLELiRWSDMwQKyFZ1iuupU5+JUk1NOEK+Rtc/byWCETK+rCer+nwuxPCIAT8s/UHgwc547rGUIkj/F/VecbFdtvNFOsECuafa9YA660366ffzUXzeRc7CA2E8rL9cbvG9fvq0rTNu3y0t+kL+qq6vxm9/8Bj/60Y8wY8YM/OY3v8GvfvUrDB06FL/85S/x1Vdf+d1EsonBAkRUsOwEC+j1GN2pv0lE7hIHUJ3eb43BAs4+N5EbjMECuV045xKpP3v2bPTs2VPYUmT6CcTjcdx3330oLS3NqV1hYw4WECfn0g186WUI7GcjyAdXqBlpmQV69NBPIMxMk17Xrl1xyimnt/x/1qyZOP7441tWVge1T27+3L3YP4zpjp0LFjKXIYhEnK+7nC4DXKGTTdKIx/xU3x1ryn7n2qRNXiSvkZMN9GLS2hoAEZ5JADGdtfgzTO8BuY9lCNyR6tglTgSLGWMSCbXee1mGGzM7GW/8Ys4sYN7uFllGt+Tr2v98xe+OGCwgZtAk3Y4dxi8prz/9V11djUmTJmHOnDmorq423JZIJLB8+XKccsop+Pjjj31qIWWDwQJEVLDMHVh5LczkT2vnzsWGEZFj3BzwYHozCpq9e/Xfc/3OiudOu4MU++23H5YuXYrjjjuueYsxs0C/fv3w1FNPYcSIEbk1KoRSZRYw35bqceJj3BzQE4NSeJzUMwsccIAYLMDBvkyqq62rqrTJ0qBOZvgfLJD86cQ1jfl53cgsIHuesFyPmSeJAXvpqt1M2S+2Sfu8vfg80l2vF7pUNbdVm5SjYGOQpzvCUYZA/93NEmfZSiT04As92MqbIDfZuVLcbof4XSgr03+vrc2vbYXKnFmAxzH/3XjjjVizZk3a+1RWVuLcc89FPaPolcdgASIqWHYGUMR0f6p2fokoNbGv6fRFN9NrU9Ds3Zt/ZoFcM2p0794dixYtwuuvv4799z8YABCLtcJTTz2FN998E0cffXRO7QkrsR+SnPi3t5JXtsLFzYkWsS1h7zvt3Qv88EOyM9mvHzMLZEMWLKClYQ/qIKA1WMDbMgTaCkAn+kbi+aSoKPdUu+nIVk+HZUW1PLOAWBta/j5YU/Y7936JqZW1dnkxuRXmchTmlb3adyAsfz95g2UI3GHuq2jnRvE9FsvLqBYEZS9YwPmsQk4QAwK8LkMgBguIWZdyDxYQyxCEow+UrcpK41RmU1NEuf0pTHbs2IEnn3zS1n2//fZbvPDCCy63iPLFYAEiKlh26jiK6aqYWYAoeFiGgEhnDBbI7TnEyYZcnuPggw9Gnz79AACRSBzHH388oulyWrrsyy+/xPXXX4+TTjoJxxxzDM444wwsWrQItYov1xCPZ7FYwjB4l+5Ypw0Cx2LialD3Bpv8zCzQ2NiIF154AWeffTYOPfRQDBw4EOPGjcPChQuxz8NCn2+//TYuvvhiDBkyrmXbV1893/I7MwtkVlOj/64NlOp10n1okAPq6oz/9+LvEPd198oQuBNgHeZJYllmATHdc6pjq52Se7kSA8+8zCwg+xvC0gc3fw+8fN8pPFiGwB3m91I7bgUts0C6SzbxNpXaLwYEaNdL2k/3yxCIJXv07dkFC+jfHTFYgGUI5HbskAWX+tAQAgAsXbpUct3dBsCFAA6w3H/RokVeNIvyUJT5LkREwWTuoKUbhIpGE4ZVe7woJwoGNwc8xAs3rgylIBBXIOT6nRXPlblOcmqv3dAQQSKRfpWKWxobG/Hb3/4/9s48Torifv/P7C67y3LfCsqZqIiISEQBSVYOEQUvREQQjIBfFfFEEw/054HBKDFEYogHuIAiqAkCKvIyIZooCiiHokEg4AGuriz3Lsfu9u+P3pr+VHX1TPdMnzP1/qdnanq6a3qqq+t46vlMwXPPPcelb968GStXrsSjjz6KefPmoWvXrv5nzga0HRKL2be2ZJ/RQSsv2zR8HezdeUR2796NMWPGYPXq1Vx6WVkZVq1ahenTp+Pll19Gp06dPMtDdXU1fvOb36CkpKQ2ZVD8s/fffw7A5QDU88MOzFmgoECLD6YbYoFoDpaK/7sf5UAWhkDT0q+HaftKDEPg1gBtdosF9OtL/yM7saHNIffczJO+5UPaeH8vZnc50LesHPjxDFdkHyoMgTeYFyrpN7Io/mWE7b62I/zz4tnvBnzoNj6Mi9fXmbrwpCoWoGWHdxZIM3MZyu7dZkVLVRUvxlH4R2lpqST1VgCPAPgQAO8u+f333/uQK0U6KGcBhUKRsZhXW1jHQMzNhe1VewqFIjzQyUwvwxBEdbJCkV1UVhqvUxXP8GKB1PJBzx3UYNK9995rEgpQdu7cicsvvxzbtm3zMVf24Qe+7K9WkYkg/QpD4Fc9eeTIEYwcOdIkFKD873//w7Bhw1BWVuZZPh588EEiFACADuT15virDRu+9CwPmQITC7AQBIAxWRrVyYwgwhDwYgH3JiV4ZwEtZavdRMiOky39MdmKTioWsBLu2Qm5lyp8HGZ/Yj8DVv317GiD0/CIQPQFU4pwosIQeIOVqymtN+lkph/1qRPshSEwXoepXhIF1oB/YgFZ+Den56X3IW0HHzkSnmscJsrLzVOZYSqP2UbdunUlqScK22T7K8KEEgsoFIqMxc4ACh2cUWEIFIro4eWqVrXyQhE1aBgC0QLbLvRZmar9YdD3zueff47Zs2cn3W/v3r145JFHfMiRc+j/YG6jWP8v8tWgHmSwliDCECxatAjr1q1Lut/OnTvxzDPPeJKHHTt24NlnnxVSmVhgP4Af4qlLly6HFrZR4ZAhFwtEN163ppnFAf6EITBe21mZbhfa1vLOWSCbJ4n1LXW5oytQ7YchcO960YlrP54lDBWGgMbc9l7wp8g+VBgCb7B65tPnGP9cDte1dy4W8DY/ThAF1oDxO7xufvPCOppu//+l15IPQ5Bu7jITWRiCbGknhJHevXtLUlllZ7Z76NOnjylNES6UWEChUGQsVupeinXjzrt8KRQK96CTmW7ft3wYgljoVgAoFCJULJDqACD9Xqod76DFAnPmzLG97/Lly7Fr1y4Pc5MatL7RJ2vsreRlbR2/whAE8V/zq/kT8/LLL+PIkSOu52Hu3LkSAQATC2wHYIzwlZXtxQcffOB6HjIJJhagg6Ss/EZxAFDmyhJUGAIxPRX4MAS81a5bbaNstp+XTdKEKQyBX7GfgewuB6JoxE+RhiJ74J3zgstHpmE19kivMRNBAuEbb5SJ1kSoiM2q7Giahn//+9949NFHce+99+KPf/wjtm/f7mZWJec0XrPnlV/PLZlI2+l56ZhTQYHxH9DwggoDqzAEimDo3r07unXrJqSyyZU8PjU3F9dcc40v+VKkjhILKBSKjEVsoMnFAkaMSLur9hQKRXjgJ6rcvW+9HIRVKLyADiqkOjHlfhgC/5+n//nPfySp/w/AGgAdudTq6mp89NFHPuTKGbQd4iRUErveubmGCJLFLPcCv8O1VFZWYsOGDUJqDMAKAJ8BaMh9Ul5eji1btriej08++USS2r52ux0AHbWqg7Vr17qeh0wiURiCsK2+s4Os7vRjBSetN7wLQ+CNFXE2TxInC0NgVXbE/9XNwXIjVJ9G7PDdO74VqhyYwxCo/ofCTWidrSbY3MMsFtCvM71/3RTxuY0bzgIffPABzj33XFx++eWYMWMGnnvuOUydOhVnn302rrnmGvz444/uZroWmbOAf2EIjH5XqiGaaNnJy9NQWKi/VmEI5OzZw8bwk4tX/KS6uhqlpaXYtWsXjvmhEA4JsVgMjz32GAoKCkiq3FngrrvuwnHHHedb3hSpocQCCoUiYzFP9JkbW27EmFIoFMFB7dnc7iSInf4savMrIkplpfE6VTcMXiyQfhiCIO6bSnoh4vwWwC8ADDd9UlFR4XWWHMPH39Rsux+5scLFCX6HITgq9eQ8DcDA2u2vbH4nPeSDQC1qt9+zM9du87Nq0CgVMi0MgezvDjIMQboiaN5ZwJu6RXacbOmPsd9JJ2liMWMVp3UYAu9CXdA8GZMufgheZGnZMWEihiHwU6ShyB68DOGXzVg5C1g/l73PkxOcigXEennlypUYPnw4vvrqK8mxNSxfvhxDhgxBWVmZG9kVjm/kRQzj4rUzpFVYWyf1Nt03NxfIz9cPqsIQyCkv1y90s2ZULBBcO6GsrAzTpk3D6aefjq5du6Jbt244+eSTcc8993juqhEWevbsifnz56NRo0a1KXncNhaL4a677sIdd9wRSP4UzlBiAYVCkbHYiRVKV02kqgRVKBTBwa9gdvfY4vHUgIoi7NAwBEBqZZbeU6nObwYRx57SqlUrISUGgKnd65r2D6PCXVwlY3cAil8N6n27xu8wBA0aNEDDhg2F1Obkdb7pO61bt3Y9HyeccIIklZ37qLCtY7G/giETC7BB6Sg+e8MQhoANNgPp3//0P9D7TMaKLrfaXnSgl9Vd2dIfEyeJGYa7hvx7VitZ3c6T4VLj2uEtkbkoRLEOSAX2P7PJOj9FGorsgdYnUXTuCStWY4+8WCC8440yhxsRqzAEhw4dwg033JBUGLt9+3bcd9996WRTisxZwK8wBMbiM/vCbvMxjLKTlwcUFKgwBFbU1ADl5fp1adnSuMhBtRM2bdqE4uJiTJ8+nXPOOHDgAJ5//nkUFxdj5cqVwWTOZ4qLi7Fu3TpMmzYNTZq0BADEYnVw8803Y/Xq1bj77rsRS6RGUoQGJRZQKBQZiziwkkgsoJwFFIrooWleOwuIE6+qcasIN6JYIJXJKXof1dTEUrqv/LamFxk2bJiQQuPl8XZ4LVq0wC9/+UvP8+QUet3FNgpdQWP1PRpnWjyem/gd+zYnJwdXXHGFkNqUvOZjIxYXF3siBrnqqqskqaxsHeO2derUw9ChQ13PQyaRWCwQvWcvbZvUrcsm1b3/HfQedNPumD5L2HHdjqcuy3u2TGTJnAWA5PeA2F91s//Ku+/55/KRzWEImChAXBmbLb9f4Q+0PskWIY4fWDsL8M48jLCJgOw4C1gJl//2t7+hvLzc1nmWLl2K0tLSFHJoDRWyMSGjX2EIrMaTnYjraNnJyQEJQ5B+/jKN/ftj8bZh0GKB3bt3Y8SIEQnDa1RUVODaa6/F5s2bfcxZcDRo0ADjxo3D2Wf3rk2pgwcffBDt27cPMlsKhyixgEKhyFjsxHGkCtpUlaAKhSIYqqv5STO3B5XFOkMNqCjCjrgCIZVJNnFQOhXBQdBhCK666iph9bm1WODXv/418vPNq9GDJpGzQKI2Cvv/cnP9adfwg87+DHxOmDABdeiIK5qR1/z/e8MNN3iSh+LiYnTp0kVIFcUC+oxxly7dUb9+fU/ykSkkCkMQxTY5rfeYWMCPNgQfG9lNZwHzZIfbq82NVdWGK0q2TJKytqzZWUC/DlbPUTvC+HTzlJvr36QLkFjcn+moMAQKP1BhCLzBXB/rdWjUnAXshiGgZWfp0qWSvc8FMB1ASy61qqoKy5cvTzWbUvjQbfo2aLGAEzEIKzusfDBnqCNHwiUoCQO7dxvXhIoFghCXlpSU4Icffki6X0VFBWbOnOlDjsID6zdoWix0dZ0iOUosoFAoMhaxwSBrsFk17lSnXKEIP+LgqdsDHmbBkeqwKcJNZSX/PpVYh2aRjPNyT8MQBPE8bdy4MV544QUUsqUZFmKB/v3747bbbvM1b3ahE3D6xL+9AUbW1qETPDTdbfx2FgCAn/3sZ/jzn/+M3PioJRULGP/1Pffcg/79+3uSh5ycHMydO1cIL8DKFrvx9IdU9+49PclDJmGIBYw0ZsEexckM2j4pLEw84esm9D6nsZHddBZgg9mGs4A7dYsRQiX7JklTDUMgXns37xUjT5rrLhJ2zkvJFocJYxGD/sLP8A+K7EGFIfAG2vcBjLqMFwsYr8P2fHMqFqDtDbmrwF8A3AHgLtMnu3fvTimPViQKQ+Bl/alpifpd9o9Dhd4AUFAbOU+JBcyUlxsXOUhnAU3TMH/+fMknRQCamFIXL16M/fv3e56vsBD0whFFeiixgEKhyFisrMD4NL0BFovZt/hVKBThwKpT7hbmMATuHl+hcBt3nAXcDWUQlMimuLgYixcvRs+ePcGvNq+DRo0a4dZbb8W8efOEFerhgQ7CiSEFEosF2Hc0W4NW1dXVOJqKqqQWWj78HPi87LLL8Prrr6NXr14QxQJdunTBc889hzvuuMPTPLRt2xbLly/H2LFjUVRUBOos0KZNGzRuXAQAqKnJtTyGQidxGIIgcpQeMmeBIMMQpNuvof+BGIbArbYXuz5ULJAtk6TGJA3/gw3BjPz/s1rJ6gZUwMD+D3+cBcy/IYp1QCqIohE/RRqK7IH2n7Pl3vIDK0dCK7FA2Fbbsn5HIrEAdUag9VKDBg0kezev3XY1fSLfP3VoW0EUC3h5ncXz0me4k3qbtn8AQ2SqwhCY2bNH7izgd1126NAhfPvtt0JqAYCvAOwE0Ib75PDhw9i+fUcU0VoAACAASURBVLtPuQseet+p50z0UGIBhUKRsYgNw0S2hrm59gbVFQpFeDA7C6gwBIrsprLS3Yl+IDV3grBYnPbo0QNvvvkm/vY3wx6zb9/+2LhxI+6///7QCgUA0VJTs+1+RONMUzcC+p3Dhw9j/vz5GDhwII4//ni0adMG3bp1w7Rp0xzHEQ0iDAGjT58+WLJkCQYPviaeNmnSHVi5ciUuvfRSX/LQqlUrPPnkk9i48TMAejiLsWOvxtq1a9GsmR4K4+hRJUBNRHW1UXfJxAJRXPnIiwX0rR91IS8WSG3QWgadXDKcBdwNFUBX1mXbJCkNi0dh19qq7Ij9VTf7r0ZYCCoM8f5elP3WbCkH1mKB6NWBivBC7zHVt3UPq4VKmRSGwKovMmDAAMneTBlxkukTt12/ggpDQK9BTo6Wcvg3VnZYv41Fx1POAmZ27zYKYYsWtJ3r77XSpGrWTtBFAnUB/MLX/IQNOiag2jDRQ4kFFApFxmInjiPtlFMlaNga7wqFwozoLOD2YKJ4PBWGQBF23AhD4Ea5p53CMAxE/uxnp8Rft2nTvnYVeLjhB6DsW1vSCTeZG0FpaSkuuOAC3H777Vi/fn18sGPXrl2YPn06evfujX//+9+28xmGQeeamkbx18cddyJiiUY6PaJevYbx1506tUVeXl58sE/ZLyamosL4v6hYgA2qR3GikNa9zFnAj/vDqxWMtAwzjZXbq80NoZOWdZOk7BqKVVeyMAR2XPTSzZMu3tC4NC9J1F/PdMRywCaOolgHKsKLCkPgDeb6WL+2tP6iGmU/xFdOcBqGgJajkSNHoi5TRsZhP7Yd9BXXOsXFxejUqVM6WTVB3ZMMsZVW+5mrp+IQwx+kuviM7cue+QUFylnAChqGoEWL4JwF6tevj9atWwup8rCHAJCfn4927dp5nq+woMIQRBslFlAoFBmLOMEha7DRlRzKWUChiBZiw9PtwTQVhkARNdwIQyB+J31ngeAHw8Iwoe0UcQCKDtBZWYprmvEZtfJmxzty5AhGjhyJTZs2WZ73wIEDGD16NL788sukedQ0fqA5qAkNOnAUVB74mO78VhS2KXhYCAIgM8MQMDtZP+pCOvmQn++eswDNu1diATo5nW2TpOKKcoZxD1iFIfBGNEufJbSP7Mf/IZtAy5YJTbEcZFs4DoU/qDAE3mA19kjrNCriC9vzjYYxs4LvVxi/q2nTpvjd734n7M1+bA6AjgCAJk2aYNq0aelnVkDsMwE0DIF3z49EYgEn9TYrO+YwBNnx7HPC7t36NWnYsCZ+nQD/67JYLIbRo0cLqVQgkMd9cskll6Bx48ae5yss8CEpg8uHIjWUWEChUGQsduI4yuIx0nSFQhFexElMr50FlCpWEXbcCEMgPv+cTnBpWvgGInl1ezQGXuggE7XlBqzbKIncCKqrgcWLF+Pzzz9Peu6KigpMnz496X5eh4KxC41fGVQeZJOpbLJWPTsSc+iQ8Zp3FtC3YRAcOSUMYQjcnJRgeachUdy2pufFAnxapmPtLJC4DrHT100FMQ6zH3bODFlZDUM7wg/YvWQOQxBQhhQZSRQFtFHAKnyhOKHM3EzD9nxLx1kAAEaNGoU//elPqF+/fm0KnTg9CSeddBKWLFniuqsAID6zWKgk/b1fYQjEvpqT57HhCudPGILvv/8emzZtwnfffWdhpx9ODh48iC1b9gAAGjU6JpRH//sK1157LZo3b05S5M4CBQUFmDhxom/5CgP8cyZ6/bhsR4kFFApFxiI2DGUdbdaooPEYZd9VKBThw7zy392GqJWdoEIRRqqrzbHRU3MW4N87nehMV2zgBTQPURkYpRNwYqgkq4kDeu1zczWTG0FJSYnkWzFQe1DGm2++ibKysoR5tBoY9Zs9e4wGXFB5oOI1NsGnnAXscfCglbNAdFeX82IBw1nA6zFZK7tjKzcSu7D7ih7T7YlM1saiA+7Z0h+jTneUZGEI7PR1U8EqDrMfttny/rrnpw0FYjnItnAcCn+g91NNTSxr6lmvsQqBaojBNMRi4RfDJRILUNcBWXt75MiR+Oyzz/Dkk0+CTpyOGvUw/v3vf+OUU04xf8kF6LVk+fejHSGGP6DXx8l52bVkZcOLMAQ1NTVYuHAhBg4ciNNPPx3FxcXo3r07zjvvPMydOxdVIe4gf/3117jzzjvRpUsXLF++BgDw7bfr8OCD98X3CaKd0KJFCyxYsADNmjWrTTE7CxQWFuKFF15Aly5dfM9fkERx7EVhoMQCCoUiYzHHXTbvw8djpOmqU65QhB3lLKBQGFRWmtNSCSGQrljAvNrceR7cJorOAqnEwTQ7C9BBPQ0bN26UfOs/AErBLEKN/avwxRdfJMyjKAQJYqCmpkZ0FvA/D4A8prtyFrBHRUXiMARRnCikdS+1SfX6t/DOAu6dl9Wb1K3A7Tj2LI90cjpbJknFFeWM5GEIEr9PPT/Ga79D9cl+Q7b0y0Ub8LBPKiqiidgOjuIzNoyI15XVW8azjd+G7b62CodDSeQswKhfvz5Gjx4LOt0Ui52EnEQHThOZWIBtvRRpisK6VJ+VbF/WxnI7DEFVVRUmTJiAm2++GevXr+c+27RpE+68806MHj0ahw8fduV8brJu3ToMGDAAc+fORUVFBQA2Mf8TVq/+IL5fUP2/M844A//85z9x0003oV49I8xAnTr1MHr0aLz77rsYNGhQMJkLEBWGINoosYBCochYrOKGydLSadwpFIpgsHOPu3l81dBVhJnDh80DCrJJyrVr12LixIno2rUrOnXqhF69euGJJ55AaWkpAPPkjNPJ9bCsNrfKQ1Qmbmkn2677kWiHSVcH1dRAsmqkJYDeABoDKJYcL/EIchjCEBw4EOMmksIRhkB0FggiR9Hh0CG5WMAIQ+B3jtJH5iwAeP9baN3AbGzF9FRgv4eVbcB9MYdhw5t99utW9s/seluVG/F57ZVYgLl8iJ95gUwgki3lQJysY6IB9+6xamzevBlr167F9u3bI2U/rXCPMLbTMwGzI6G+ZbcZe2a6HcLHLeyEIaCCwUT5F6/Ftm258h1dQnxmAcbv8PKZ5ZawjvUh2PeNMARpZrCWhx9+GEuWLEm4zz/+8Q/85je/ceeELlFeXo6rr74ae/fuJanM9v8nAEZB27Bhk59Z42jdujUeeughPPfci/G0++9/CE899RROPvnkwPIVJLxYIFx1nSI5SiygUCgyFrM1o/khRTvl1OJXiQUUivAjrpp2e7DD7E6iGrqK8FJZaS6fvAVcFe644w4MHjwYixYtQmlpKfbv34+tW7fi97//PXr27ImlS5em7ajhdXiQVKDP/6gMilqtMKSfmb/D22Hy34mhQ4cOwjfqWLzWad++fcI8hmHAubw8HKIuep+wwVTmLCCGB1HwJBMLRHF1OS8WMF57LxYwrpWbzgKsHpeFIXBrvpG6vUU5BEUqGPbz/MVMFoZALE+a5o6luDnGtvHeT3cMRlSe2+li2JXrW7ecBSorKzFz5kycffbZOPfcczF48GD07NkT/fr1w0svvYQaNfCRVZgdSaL3jA0jVq6mZhGQfP+gsfMst+MsAJj7jl6LBWje/XRwSCQWcNI2YteStdvcdBbYvXs3Zs+ebWvfV155Bd99913a53SL+fPn46effhJSmVhgN6hYYMmSt/zKVgIMNU1OTn6C/TIfFYYg2iixgEKhyFjsWDPS2IB2BuIVCkV4MFtguzvYYSeUiUIRFmTOAlRQc//992PevHmW36+srMSECRNw5Ahf0DPPWSAag6J04gwQB6Dkv4G2XXJzzY5JV199tfANa7FAr1690LEjH5pAJAzuK3v28N3ZoAZfeWcBfRvllfF+YiUWYBPGUbx+1s4C3tY/tPzTiX23nAWoAMHtUAHsOLpYQE/LloXPVvbPycIQyP5XN+rAxMKz9I+fCFn+wzap5hVeTCru378fl19+OR566CF8/fXX3Geff/45brvtNtxwww2hjletcBexHaz+encQJ8jZfSuGmXE7hI9b0HFRK6igLVG9JLYLfvwxBwcPetf+oW0FJrZyW9AoQ3R0o9fOSduIOisBQEGBvnVDLPDqq6/iiNSioDMA0aWzBgsWLEj7nG7x0ksvCSk5AJrWvuadBT7//Et8++23PuVMDj9BHo3xBq9QYQiijRILKBSKjMXKCkyWJlr8ZsughEIRZURnAbfv2zBMhCkUdqmoMKexMrxt2za88MILSY9RXV2Nykp+tCt9ZwFn3/cC+huiYgkvDtrZaaPwsTP5CR5Ni2HUqFFo3rw5+Ya1WOCWW25JmkergVE/EZ0FghKD8M4C+p/HbESVs0BiqFigqMg7m3s/oe0TtkIM8L4+pNeKOVsA6dsds3xTAYLbFr80rnNYV156hdU1ZHWJdRgCe2np5EcUnnn9n8jDBmZHHSpOKhrOAqn//okTJ2Lt2rUJ9/n73/+O3/3udymfQxEtlBjeG8zhEWO1W/09czF1yzHEbVh+E4UhSNVZAAC2bfNu+kkUuAHG9fbyOlPxdjrCOnYPis5kboQh2LJliyT1/wH4AsBTpk+++uqr9E/qAjU1Ndi+fbuQ2hgAu8i8swCQJ9nfX2hdmu31Kn8tsqMNl0kosYBCochYRDVnosEHUQmaLStZFIoo4/VElXmFtGroKsKLzFmA3SMlJSW2j1NTw3cP0nUWCMNkD20PRMdZgJ80sBMqKfEKF6Bp06Z46aWX0Lhx49pUEnyUiAUeeeQRDBgwIGkew2BlKzoLhCEMARMJJIs3nm2UlZVh/vz5mDFjBmbPnh0f1GNigVhM4yz72aCpW9bqfmLtLODteek9yccWTu+4rN6kx3Q7VICxsk4jYoFo1NfpYuUskMydRHZ93BYLiIJ6K2cbt5C1tcPQjvADK5Fgqr//iy++wPLly23t+/zzz+PAgQOpnUgRKcLoAJYJWIkwxFXjftjjpwKrf+yKBRKJmGRl6n//8y4UgRgOgG69vM6iSJteOyfnpc5KAFBYaKSne3/GpH9oz9rtL2zu7z+xWAw5JpuLIvJ6P0SxQG6ut+EukqHEAga0LReVhRoKg7zkuygUCkU0ERtosgEVOjjD2/WGo5GkUCis8dpGUa28UESJykrzc4uV2TVr1ki+8QiA6wFcAeDfJJ3vaDvt4In7h2FyPoqdd+p8BNhbrULbLrpYwCwwOPPMM7FixQrMmDEDr722haxaqYNf/epXmDhxIs477zxbeQyDle2ePWI4Gv/zAPCDImw1MFuFne3OAuXl5ZgyZQoWL16Mo4IlUP/+/XHCCSUA6qFePY0baKWW91VVhggjCvBiAeO1Xk68UyRTsTN1AUj3vjBWvRkncHsgnoZecVuIEHas7J9TCUOgPwfSK2PixAv7PwDv/xPZ8aPy3E4XY1yCrUBOb2Ws2cIZ0IWBpwP4FLScVFRUYPHixbjmmmtSO5kiMohtN32MTK2USRcrsbRVeJGwigUShSGgfZFE9bLsmeWlWIAPQ6C/8eM6889KLb6tqXEmcmXXktX5BQXGDzp8GKhfP/U8nnrqqZLUOsLWoHPnzqmfzEVisRi6du2K9evXk1TaETgKKhbIzS3EKaec4lf2pPAT5Nnd96NtuWwR/mYSyllAoVBkLOYVb+Z9aKdcjO2rUCjCjTkMgbsNUSUWUEQJmbMAm6SUxyocB6AlgGFCOq8ldlruwxiGgOYhKup2cdLAThtFnOCxso7u0KED/vjHP+KVV16Pp11//c147bXXbAsFgHCEITA7CwQfhoBN0ipnAV0oMHToUCxatMgkFACAf/zjH3jllWUAgHr1+MkKWn6jdg2DcxYwi1b09PSOKwtD4LaVMl19GVabZq8QnWQYyeoQr8IQiC41qa6WTPfcidIyEbcnFbdu3SpJfQHAWgC/sbm/ItNQ/VtvECcHa2pi0LREjiHhmkATwyXIiMWMzxPVy7IytW2bP84C7HnFtl46xrrlaMD2FcMQAOkLjocNG4aioiIhlTXm+D5/Xl4eRo4cmdb53GTMmDFCSgF5zYsFunXrgWbNmvmRLUto2z/b69UoLtRQGCixgEKhyFjsWKzRxrtsBZ5CoQgv4qSQ+2EIxElP7zv1GzZswO23347evXvjF7/4BS655BK8/PLLqKys9PzcimgjKyKs09q2bVvJN2o9DjmVfgxi98DpIIUKQ+AOdJUtYM/9iJ/g0ZK6ERQWGktV6tZt6DiP4kBnEBP15eX8OYMSg9DfbogF9K1kjjxrmDx5ctL4p0eO6IOVoliAt9GPxn3LoP85FQv4uSqbTux7EYbA7QkPdhwqdMqW/piV/TOrw63Kjaxv63YYgnTiMKdzbupmELX7P1WsxAKp/qdyS+butdszTJ+YLZ8VmYgKQ+ANsutYUyO7r9NzDPGaZC70rB2QKP+0Tcx+r99hCNjv8CsMAatuUxE7suvF8s7CEADAkSPpPf8aNWqEm266SUiVOwv8+te/xnHHHZfW+dzkiiuuwMknn0xSrJ0FzjtvoF/ZsoSWh2yvV6O4UENhoFqDCoUiYxEHr2QNNvZAT7QCT6FQhBOzs4C7xxeP52VD9+jRo5g4cSIGDBiA+fPnY8uWLfj666/x4Ycf4tZbb8XZZ5+NDRs2eJcBReSRhyHQ00aMGCH5Butw04EC80BOJoQhiKLS32olEmA9ACXGzkwmMKDXJZX6U/yvgwlDwHdng2q/0eeREYaArQoO/h4Igm+//RZvvvmmjT110UpNDR8vWwxDECXYvRGLaZydrNdlgdYNvFgg9fNqmoYDBw7XvjMKutsT+oazgBbalZdeYdT3csGMVblh14fVNfq+buSHTvT420dmv5WGHcmWfrk4qWiIRVK7D0477TRJKlP8mO2nu3btmtJ5FNFCHoZAkS5WIVTY9RXDioWtXrMSrYnYqZfoc6hdO71i27o117NV/m6t8HcK/T3m89q/r1hZYO1eMQxButx1113CKn2zWOCyyy7Dww8/nP7JXKRu3bpYuHAhEQxYiwVatDjez6xJoW21bO37MWj5V8+Y6KHEAgqFImMRG4ayhxTtlKswBApFtPDeWYB/71WnXtM0jB8/HgsWLLDc5/vvv8cVV1yBbdu2eZMJReSRhyHQtwMHDsTPf/5z4VPW4aYWhHkQcdrZNa82d/R1T4iiut1qJRL9TERc4ZKsXZNubMUwuEjs2RO8u4F+XuO1chbQWbJkCWpMBa85gMkAaH2kiwUOHizl9rQbGzeMsHqmTh3+d3hd//DOAuk5ph07dgwlJSUoLi7GypX/BgBs3PgJhgwZgsWLF8dXfrt131M3lbBOpniFWN8z2MSB1XVg33NLGCIeV88T71JDhQRewH6r2wKIKGAWC6S3Ann06NGImWb+WGHJ51KbNWuGCy+8MLUTKSKFCkPgDbLne3W12S2F3d9e2uOngtVziHLs2DEA+o4//bQHmsWPoGUqL093l9q3Lwenn34eJk2ahHXr1rmR5TiJJu29vM60z5uOowENwwQABcRtP90wBHrecvDkk0/ipZdeQr9+/UDDEJx77rmYPXs2Zs2ahbw88zhA0LRp0wbvvPMOHn/8cbRvb7gMNG5cDzfffGP8fRjqMVoHRGW8wSuiOPaiMFBiAYVCkbHYGcSmMSJpwzhsjXeFQmHG7Czg7gCmOOnk1Qrp1atXY968eUn327t3L6ZOnepJHhTRJ5GzQF5eHubNm4dWrVrVfhKDbFVB//6DTMdwOtFpjmMfvJqc5iEqSn9qyU23gPUAlHk1aOLJwnQ78kGEahExiwV8zwIA/vnAJrnYBF5Uypzb/PDDD5LU+wA8AeBZksacBfZxe2aCWCAvj7fu93rym04U0wlkp+etqKjA1VdfjcmTJ+OLL76A8Zw4ho8//hgTJkzAN998DcC9PhN1e3NbiBB2rOp0dg9Y1c/s+tD4xm5cs0QuNX6F0shGZwH2DBedBVIVC7Rt2xZjx44VUuX203feeScKqfe1ImMR+7NRe76GFVlbr6YmZukYErbFSYme5QcPHsQTTzyB7t274/DhgwCAOXNKMHDgQCxatMgkGqDXYsuWxfHXpaX18corr+D888/H5MmTUeVS4aP9HzZZ70cYAlFYR7fpiQXcdRYAgFgshvPPPx8LFy7Ez352KgCgdev2+Pvf/46hQ4eGOgxNvXr1cN111+EPf5gZT1u0aD7uvfc38fdhuJ/4MATZ2fdj0FtbPWOiR3hrA4VCoUgTcWBBLhbQt3bsehUKRbjwelWrXysvZs+ebXvft99+G6Wlpcl3VGQdbDChTh0NsZg+yEAnGDp16oQVK1ZgxIgRyM+vT76Zh9atW2PKlCn485//ajqu085uGGOhRlHdztonbLDLzmRNImcB2XfSDc8QxjAEwYkFjNdscpiJBrLVWaCoqEiS2r5225mk6fVRfj5foOgke9Ta5ew/z8/XhHAK/oUhoOd1Ooh655134l//+hdJMcQCjPLyHwG41/ZiAinqLJAt4m0x7AwjeRgCfZuOMESGaOlsx9nGLdjxqQAiavd/qhjjEvpvZ8//dP7Txx57DJdeeilJYRWroca44447MH78+NRPoogU5jGy7Li/vEZ2n1JnAXHlediuu1UYgrKyMlx00UX4/e9/XysCZT80Fxs2bMDEiRPRp08fLFmypNZ5APj0043kCF+Q1yfFX5WUlGDKlCmu5F0ehiA9Z5bUz6tvndTb7BkvEwscOeJ+Oamu1k8UtWcr7U/l54ui4uB/CxVihWH8IyhqangBT9jqOkVylFhAoVBkLGLjR9ZQpDEiVRgChSJaiLZsbjfK7QiO3ODDDz+UpP4BwGcAOnCpVVVVWLNmjTcZUUSaigr9figs1OIr8sR7onXr1pg5cyZWrfoknnbOOX3xySef4JZbbkEsZrYfdDq5bnbkcPZ9L+DV7dHosFrZltLPRPjVoLx1dKaGISgvD97dQDyvGIagujqWle3Kvn37SlIb1G5bwZi00sUCbdo05PZkZR+I3qAbDUNARQ9+hiFI1dFg27ZteO2114RUs1iAWREfPerOjW+srNNcmSSNEqmGIWD1jtvOAmaxgPFeOQt4h9UK5HQG2uvUqYNnn30Wc+fORXFxMdi9HIvl49JLL8XSpUtxzz33SMIVKDKVMIp6MwF2HcW2iygGM2La+5g5G1DHVYamabjuuutqHYYYrEI2GhlbtmzBuHHjcOaZZ+LNN9/Es8/OIftvB8CWx58EyvPPP+9KiEV6LZlg3o/rLIq06daJ2JEdhz3z3Q5DIMLKalT6xAzaV83P58WMYajH1Gp6HfG3h2EsSOEMJRZQKBQZix3VNLW89HPVhEKhSB/zRFU0wxAcNvnL5QG4FcBpAC6xsb9CARw+rJfPunWNwQarAYb69ZvGXzds2Dweo1DWsXXawQtjGAJ+UjzAjDhAnDTgB+8SrzIFzM4CstUj6Q5qBB2G4OhR4OBBvjsb1KQS7yzAwhBo0s+zhd69e+Pkk08WUhuQ1ywsii4W6NKlPbcnneyO2qCbEYZAEybt/Yn3npubepz5l156SZLKxAL0j9BPtmuXLNyEcwyBlDuTpFFB08z28wzDWUD+XWMVvpHmxjUT4z8nE565iUwAEbX7P1VERyG37MpjsRgGDx6MV199FQ0bNgMAnHHGWXjuuedwzjnnpHdwReRQYQi8gV1XGs2jutocViysYXZkzgIfffQRPvroI2FPw1lApLS0FNdeey22bdtBUo8A2Fr7+uem75SUlKSWYYL4zAKM3+GlQ1EiZ4FUwxB89913mD//+fhnjz8+AytWrEC1iwWGtVGjdu9TZwHWx2LtpDDcT7QfHDUhhpsoQVr0UWIBhUKRsdhZ8WYVhiAMjQ2FQpEYcSI0qmEIjj/+eCElH0YTzRw/tHXr1t5kRBFpKiuZWEAjsdLl+9LONt1HNqHsVCTj133jBD4MQSwS1tbiSiQ7kzXioFVyZwHjdSpiqKDDEOzZk1gA4Sf0vKKzAJCdYoFYLIbHH38cdeiFAA2B0ppLa9KEj6FNy2/UJo15ZwH/Jj3phHuq/ZqvvvpKksoUD2ZngYMHK5xk0RIq4DbEAq4cOtTQ55G4uDuZWIBdH2pZ7MY1o/ebHeGZm8hCK2SLiN8sEnTfRptNYBw7poaCsxUVhsAbZPVxTU3MUvwbtr6ITCwgFw+yB5JZLGBA23NVAFi7QhSQAqtXr7adRyt4ZwF+661YwLhYZrGA/fuKlZ3Nm79Ajx49MG/es/HPPvpoHUaNGoVf/epXrrgwAPQ54MrhfEN0FgCSh2vykyiGPfQC8ZkShv9G4QzVQlQoFBmL+SFl3sdKLBC2xrtCoTBjXsHs7vHNk57eNHSHDx8upNAONm8Lf8IJJ6hVQAopzHCCigWsJoCtYuq54ywQvhVLYbDLdwqdOAMMW00gkViAn+Ch35H95nQdF8Rj+j2hs3evuSsb1IAELffs/qMrY71ypkmH6upqrFixAmPGjME555yDXr16Ydy4cXj//fehudQQ7tOnD+bPn4/GjRvXplBngeNRp04+YjE9rV49/px0kj0K9yzFEAtovoYhoDbCqTqmye3IZWEI9D9F09wZUmL9Nt1ZwPtYw2FBtiKSYYQhSOwmQyfW3Q5DEIv5G6qPHZ8XQISv/vQC0QY8ldjXyTDsp907piJaRGXVp6Zp+PTTT/Hoo4/irrvuwqOPPopPPvnEtfaJ27DrSC3kq6vpeKOe77CK4Wh4Vsb//vc/yZ4s41cAmAjZwgZ+/KIKwJe1r0+BvijC4MiRIynklsetFf7pnVe/bqwJ5eS8rO+ydet/UVNTA92NgaEXqM2bN+OSSy7Bzp0708ixDmuLRu3ZKnMWYO3FMNRjNA9hu7/9JIwLRxTOUGIBhUKRkcgaZ/I0OqhmTlcoFOHFPCnpdhiCxO/dYtSoUWjUqBFJqWPxGpgwYQJycxMp+RXZSkUFs7/U4h1o2qmm8M4CcuEAw+kkp/m+JQztNQAAIABJREFUCf55Kg6GREHtz9ohbNDJziphmp6Tk3yCh16HVOq3oIUh5eXG+Zs2rQkkDwx6LUVrTPHzMFBaWooLLrgAo0aNwttvv41t27Zh69atWLJkCYYNG4bLLrsMe/bsceVc/fr1w7p16/Dkk08iN7dxPH3QoOvw0Ufr45PNoliAPuqiNtDE6ljdWcBI9ysMQTqOaZ07d5akysQC+j1XVFTftHcqUBvesMZ09gLZZAOD3QNW9QcrT1SY5LZYwO9Qfew38feNt+cMAzLRiBeTiqwseREHWxENgm672eHLL7/EoEGDMGjQIMyYMQMvvvgiZsyYgQsuuADnn38+vvzyy+QH8Rl2b4khVERnAWMyOVz3oMxZIEdUsAEA/lW7PR7ATADboQsHKHT84hgA5h5QAOAMbs8TTjghlexyJBIL+B+GwHmYiYoKFmKS3Yw05KQhxvjhhx8wdepUx/kUYXVA2PomyaD5FZ0FwtBO4EX44bq//SQqgjSFNUosoFAoMhLZA0k2QGflLJANg1MKhYyvvvoK06ZNw2233YZ77rkHb775JqpC2sKTTYR6YdVpvHfv2JSmTZvi9ddfR2E8yCFV3Bud7UsvvRQ33HCDN5lQRJ7Dh1kYAiQNQ0A7sLTjLetoOx1I8Ou+cUIYBQzJsLItpZ+J0P+Pxv22+k66gxrmMAT+Xtc9e4yL0rJlsGIB+tsNZwHj8zANGh04cABXXHEF1q9fb7nPBx98gJEjR7qy4gsA6tevjzFjxoKGITjttIGoV69l/L3ZWcB4HYZBQCeweyMvz98wBMaEu5ZynPlRo0ZJ3AWsnQWaNm3hNJtS6OpLL1ZUh5VE/02yMATsu7xlf/p1jVksYLz3+j+hopEwrRj0GtmkE7uH3ZpUrK4GNE0/VjZcU4WcsIch+OKLLzBkyBCsW7dO+vn69esxZMgQbNq0yeecJYZdR2tnAX1r3Nc+Zs4GMrHA6aefLtnzOgBXAfi89v1xAKYL+4jOAh+T97xD4ogRI5xn1oQ5HEAqK/ydIva76NbJecvL97Mj1m7lYgEAeOONN/DTTz85yaYJVv9XV0cjNB+DitxEYXYY+vbpivAzhSiOuyh4lFhAoVBkJLKBDFmabGCKpisU2UJpaSmuvPJK9OnTB9OnT8dLL72E559/Htdeey169OiB5cuXB51FE7JGuJsNc7/CEABA//79sWzZMvTt2xdiGIKWLVvi/vvvx6xZsywU/goFUFlpOAuwySmrCUreWcB4LRswdC4WSPw+CMTfEIWVFEbscd62FLBeJcM7CyQXGCQLQZEMsbz4PbFHnQVatGBigaDCEOhb2p6kk8TJytyGDRswefJkDBkyBBdddBEmT56MDRs2eJLX5557Dps3b0663yeffIIFCxa4dt7Dh/kyU1qag0OHjPeJnQWiNdAUXBgCfZuOY1q7du1w9dVXC6nWzgKJ4xbbh58kZmnR+t9TIXEYAn1rdR1YvS2uZE0Xp8IzN6GCF/b7s6FfLnOYcNthQ8VTVgDhbKczNE3DTTfdhP379yfcb//+/Zg4cWKoQhKw61hYSJ1YYqQ9r29TWXnuJXv37sWsWbPwzTffAgBWrVqFN954A8eOHcOYMWMk36gBsBDA6QBeqE1rKOwjOgv8AN2BAKBigQ4dOuCCCy5I+zfwoXP0LbvO/oUh4LdOiuahQ0yYy25GcxgCxtGjR7Fq1Son2eTQtOhOasucBcIkKqT3dBjyExR2wkErwo0acVYoFBmJc7EA24ar8a5Q+EFZWRmGDh2KlStXSj/ftWsXxowZg8WLF/ucs8TILDS9iOvJ8Hpg7cwzz8Tf/vY3LFpkXOcLLrgY69evx6233qrCDygScrh2EUJRkRbvQFt1zui9Qyfh5M4CziZrgl5tLiOaYQj0rdxZQH5N2YpBQDbBk1gI4o6zgONDpAV1FmjePNj2mzE5bKTZcRY4ePAgRo8ejQEDBqCkpAQff/wxVq9ejZKSEgwYMACjRo3CgQMHXMtndXU15s6da3v/F1980bVzHzzIX4PkYgF3rdX9hJYHP8MQ0EkJev87vX6PP/44Bg8eTFLMYoG2bdtw50wXdm1ycoz/PvsmifnPmODIqm5l/yuta9y4V+izxG/3vWwVjcgmu9h94Fb9l+4zX5EZhDkMwapVq2w7BmzatAkffvihxzmyjyHeMtJ0ZwF5WLEw6BzmzZuHbt26YcqUKTh0qBIAsHPnNxg/fjzOOussHDp0CMOHD7f4tgZgZ+3rOsJnorMAALAJbl0s0KJFC8yfPx95tJGUIn6IreTnNTsapHLemhr2kGWVPRULFELk0KFD9g8uQB1mgGj0iRls/CIWM9yzwhSGgHduzN5nbJgFaQp7KLGAQqHISGSD4rIGm9VgfDYMTikUjAceeAA7duxIuI+mabj11ltdi2HsBvJwI+4dP6hVs8cf3468bos6dcQOuEJhhncW0NOsYtJaOQu44dYRRjV5FO3wEokFrOoicTUojTMt+w69Dqn8T0Ff1z179PM1bFiDggLmpuFrFuKwQSHqJpDMWeDo0aO4+uqr8c4771ged8WKFa6GA/j666+xc+dOIbUAegzapaBWroA+GL9v3z5Xzi2KBX74gRcLFBVZhyEIQz3iBFbH1qmjcaIH78MQ6NczN1cfTGU47dcUFBRgzpw5mDVrFs466ywYEwFV6NevH15++WWcemrnlI5thWySOBv6Y4nFAvq2qspsFaxpxoA/q/8Ad9qqYp6SCc/chIpGsknEn2iFqlu/nw895M4xFdHDHIYgmHzIePPNNyWppwJ4GkAX0yfLli3zOku20DSj7qLOAlVV1mEIgr7u8+bNwx133IGKioraFFY/6PnfuXMnhg0bhnHjxgniQQqrSPixiry8ovjrFi2a1L76qHbbAUOGjMc777yDk046Kc1foSMTW7Gtl6IMel7W1mPndSJyy8lhChPaSJRfW0AXWojs378fS5YsQUlJCf7+979j9+7d0nOJdX+UxHgs7/n5xnUOUxgC3q0xuHwETdDjA4r0UWIBhUKRkcgnEa0FBOnYRikUUebHH3/EG2+8YWvfiooKLFy40OMc2UfuLOBeY9TPMASUZDHkFQoZTCxQt64Rx89qYopXvhvpsvvHSnBghXkQwtHXPcFvlxA3ENsndib++DAEycMrpWtJLNaJfv/XzFmgSRMt8MEidi2tnQXM31mwYIEtK9GPP/4YL7/8cpo51KmsrJSk9gHwKwBDAHS1+R3nUGEAYBYL1K9vLRaI0mAmwDsL0DLhtViAhldLx1kAAHJzczFs2DC89dZbaNiwGQDg//5vHBYuXIiBAwe6PqFPQ68Yg+3uHDvM0BV+MaGY03tAvM702tAy5sZkPj/xonHPH6//E3b8vDxjUi1qYqFUSCQW8CYMQbTqVIV7hHkip7y8XJL6KICbATxs+iQsixjoNS0grvG6s4D+momfWD3vtfAqEXv37sV9990npPJiAUBfwT5lyhS8+OKLmDNnDs4++2zhO0x9ns+lXnHFVfHX//rXu3j99dfxm98Ux9OuvHI6TjzxxLR+A0UWzse4zq6dxkQiRxgn5y0sZOIKenPKr23z5s1x7rnnxt/v378fd999N7p27Ypx48Zh8uTJuP7669GtWzfcfPPN+PHHH7nvi/d7FPrEDDYmwcY5gPCGIYjSdXWbKDo6KniUWEChUGQk9sMQGKsX6DbIxrtC4SfvvvsujplacK0A/BnAINP+YVHwA947CwQ1wciv/FF1kcIebD6POgtYlR/eWSBxGAKnnW/zfRN8GQ5K+JMOVral+mfy75idBeSfMdKdOAg+DIGe5yZNauIDR8GFIWADWEYa7yzAX19N0zB79mzbx589e7YrsXlbtWolSa1r8VpfYd6kSRO4gegs8NNPMezdS8MQ8PtTZ4wwDAI6gd0beXmiQ4LXq7L1rdvW8Wzgr6jIKOBuW8Rnq/28bJKDkciVgtZ1+fnuTuaLzxLeWSD94yeCikbYvZMNDhNi6AeAOmy4cx8oZwEFXQHPCNPztWHDhpLUE2q3zWzu7z+8WICKe2NceCC6DbJee+WVVyRCUPYA4jO2Zs0abNq0CUOGDMGyZcuwevVq9OjRo/ZTWpHkoWnTpvjrX/+K7t17xlOLiurgl7/8JW655Zfxa7N2bfqhByiySXs/HGPFZ2Wq5y0oYA1g+gCXOwuMHTsWBbWKlD179mDo0KGYM2cOcYjQOXLkCBYuXIjBgwdj165dxlED7rulA3UWYITFqQPg+3pRGGvwijC71yjsocQCCoUiI7ErFmADNCoMgSJbkSvyJwC4CcBfTJ/s3bvX6yzZRrbi2c0OT6KBWS+xsohXKBJx+DBzFtDiEwe0LFH4ziykrxlOnQXEznEYyrA4URuFQXI6YaJvzZ9ZfQcwTxbK5pmtyoFdgl6dVl5uOAsEvQLVmBw2LjQdzBLvxbKyMnzxxRfCUWIA5gN4GWI3/b///S9++OGHtPPZvHlz9OvXT0ilq5b4QcmLL744PiiZLqJYQNNi2LHDKNj16iVyFnAlC75hDGj6G4aATkq4aR3P7m26msvtPhMVOoRhMsUvZLGWGfQeSOTa47Z7RaJnidf3Iss/Fbxlg2hE5izA6g63rjktQ8eOmUNbKDIfr4X26TJw4EBJauPardmOXb6//9D2L237ycIQhCG8ysqVKyWpZmcB2f4dOnTA8uXLsWLFCvTpY4gCnnrqz9iwYQMuv/xyrpyxeiw/Hzj9dP2DTz7xTiwgOgv4FYYgHadaTdO/FIvRRo/ZWaBv3764/fbb4+9vv/12SV+C55tvvsGECRPi781igeg8X2XOAqydFIZ6LNmYSrYQ9PiAIn2UWEChUGQkskGFRAIC1mhn22wYnFIoACtFftPabXOb+weDrBHupiuI2ULLn4YuH0dcNa4V9qBiAcOSXb6vlSCFPifr1k0tBrwKQ+AOVmGS6Gfm7xj1hZ3JwnQHNYIPQ6Cfv2nTmlCGIeAn8Ph8HTp0SHKUXwAYBWAkgLNMn8q/45wbbrhBSKED8MagZCwWw/XXX+/KOQFzGAIA+N//7IoFovUsZHVsXp6/YQhkq/MBvs6oqKjAgQMHHDlVUKcERipWu4lg/7Ge9+AnU/wi0fVLdA/Q9247CyQSC3jdR2a/SxeNZGc5MMYlzJ+lQ5RXlCrcQfafh6mv2a9fP7Rv315IlYsF2rdvLxE/BgO9roWFfH3M7l/Dpl7fBinWOXjwoCSVjfEcsbV/9+7dcemlQ+LvL754GAoLCwHwZYq2gTp2LAMArFpVjWHDRmDKlCnYvHmz8x+QAD8XgdG+VTrnZeXn0kuHoHPnzrWphrNAUVERrr/+erz88stxAe+OHTvw1ltv2Tr+6tWrsW7dutpzRU9Az0jkLBCGekyF+tFRYQiijxILKBSKjEQuDDA/sK0G47NhUEKhAID+/fsjl44oAzA64+bVhIMGmUMTBIXXzgJm63L3jp0IOpGrGtepU11djRUrVuDuu+/GjTfeiPvuuw+rVq1yxco7bFRXA0eOMLGAMTBj1VG1ssmjz0k22OW03Iv3TRg6y9EMQ6Bv5WIBef55O0zNURiCVK5J0BMPRhgCLb6iPzhnAT0vdHKPrnwRnQWaNWuGmBigHPXJa16YF4vF0Ly5WcCXCueddx7uvvtuklJH+vqxxx7DGWec4co5AbOzAABs22a0P4qKRLFA9MMQ1Kmj+RqGgIYvoXHmKyqO4K9//St69+6Ndu3aoWPHjujSpQsefvhh7Ny5M8kxjePSQX+3B+LZozk3V/Ml1nBYSBSGINE9wIchMF67IZoVLfFpN4F+5gXsd+XlIXDHGD9JZKPt1riEGsBXyJ5BYbq/cnJy8Kc//UlwNGpUuzUepvn5+ZgxY4ZkDCMY+DAExmtdLCAPexrkeGOLFi2ElOOgh6EEgM9N+1u1P/lwW0Y67yygixQnTJiAhQtvBQDU1NTF++//hFmzZuHcc8/F+PHj0xLEyiftvV8ERo8thiFwInJlZaFDh7Z47733sGTJEjRqVAQA6N37PGzcuBFTp06NizEA4PXXX5eMaTQBMB76/8mzcOFCAMH33dLBcBYw0oLu/1GShXbMFoJyZ1W4hxILKBSKjMRuGAKrwfgMnEtSKKS0bt0agwcPFlJZCzyfSy0oKMDVV1/tS77sIBvkcrMxarbQcu/YiaC/SzWuU+ODDz7AOeecg1GjRmHOnDl47bXX8Oyzz+Liiy9Gv3798N///jfoLLrK4cPG68JCIwyBHWcBq8EdJhZwGoZAFAeErfMORGOAPBVnAVpf6KtBadxU8/70v0rlmgQZk1DTgD179IvCOwv4lweK4SxgXPNEzgINGzZE//79haPQZ25d7pN+/fqhUaNGcIu77roLM2fORMeOHSE6C3Tu3Bkvvvgixo8f79r5ALlYgDkLFBbyk+oAX+bDUI84ga7E9/N3GM4CGjfB+/TTz+D+++/Hli1b4mllZWV4+umnce655+L999+3PCatG+jEgPsTmfqWuiJkQxtIZmPM4IUm/Ge8WMBdZwH+WaJxzxKv/xMagof9/mwQjcjDELDP3AkZEGX7aYU7hD0MAQD06tULixYtwgknnAC9LcTaRnpbpU2bNli0aBF69+4dVBZN0InhggLa9o6Z2vNhEMNdcsklQsqZ5PWn3Ce5ubkYMmQIZNB2rqw/mZenoarqGMaMGYPFixcD+Ih8+5z4qzfeeANjx47FsRQ7aInEVn6JBZhAM5XzUmelWCyGXr16oVkzXTTcvv3Ppe3/77//XnKkRwA8B+BPlvubwwVG5zlAQ3wxwhqGIApjDV5hdnSMThlT6CixgEKhyEhkjbNEaX7aVSkUYWPq1Kk4/vjjSQodsTcmL6ZNmyZRogcHa4TT1XNuDcTX1JhXT/nVmaLnUY1r5/znP//BlVdeiR07dkg///zzzzFkyBDXbQ+DpLKSdwRgHWeriX6rWPW0o81Wxji9p8KoJo9i7Dy6QhhIPvEPyMQC8s8Y6dolit/xyyp+69ateOSRP8TL99dfrwdQ5WseRJw6CwCQWPzTlXS8WIDGG3WLESNGYNWqVbjxxlvjaffe+//w3nvv4aKLLnL9fEwskJOjxcVIZWV6IRVDEAD8tYxau9xwFtDvYVYW/AxDQO//3bvLLb9z8OBBXHPNNZYiOjrg6aWzgBEajooFwl9Xp4tskoOROAyB8Zo6C0Q/DIH5vNlWDkSxgPh5qoiTF7LnkiKzkU1ghbFN3Lt3b6xZswZPPfViPK1Bg6aYM2cO1q5diz59+gSXOQn0ulJngaoqXsSnb/X3QdZrF110kTD2w8QCVQA2cvsOGTIErVu3lh6HtnNlYRTz8vQV7e+9917tJ98BYG5GhlgAAN577z288sorzn5ILbJJe/Y89XIRGO/opm9TcTQQywiApMJ/3n2D8bPabQfTJ8yVQKz3oyTGlTkLqDAE4UOs26JUxhQ6SiygUCgyElljQe4sILcFczPuuUIRdlq3bo1ly5ahR48etSl0lWEBGjdujGeeeQajR48OInuWsEZ4XTKn4ta9K4/p6Mqhk2IVT16RnGPHjuHGG2/E0SQjoPv27cNtt93mU6685/Bho9wXFWlJJ6b4MiYPQ8AswZ12dsM4MW9WuAeTDycYqyv1rZ3JGjoglihmOYMf2HOeR7/dV3bv3o1Ro0ahV69eePrpl+LpCxf+Gc8++wyA4P5b2WqXZLHqzzvvPEyaNImkyJ0Fbr75ZokLgTvk5OSgXbufxd+3a/czSXgEdzh0SD9u/foaWrXiC2QysUAY6hEnsDqW1cWG84W3v4PVAaJ1PJDYqrmiogIzZsyQfsbHHjb+J7cnPOjKOjZgHjWRSCqIlv8UOnEg1iG0vUv/F6/FAl4LAFl5o+UgDKJDr5GJBeyIBJ1gHsCPVr2qSB9ZfR3WvmZeXh7OOmtg/H3Tpq0wZMgQ5Ik2RCGAXkPR6YU+l+k2yOdbfn4+nn/+eRQVFdWmdK/d/heAYVfXqVMnPP7445bHoe1c2fhFXp6G2bNnC99i7gK9TMd74YUXUgoXKAvn44eDg7zedn5edr1ouy2Z8F/urMHCmRWaPunVS7/eUQ5DIHcWCE8YAjpmkg3tFiuCcmdVuIcSCygUioxEHobA3NBSzgIKhU7btm3x9ttvY/ny5ejY8ZR4+tSp07Fx40YMHz48wNzJYR0GtkIRcN8Ol+JXQzfdCbxs5q233kJpaamtfdeuXYsNGzZ4nCN/4J0FjAEGq4lTK/t5Wu7ZfeV08lUUF4RhYj7aYQh4W0v6mQht54gri2VCKnodUrkmZitL58ewy969e3HJJZdgxYoVtSnNyKe7UVGxz/M8JMIYGDXSeGcB+WDflClTMG3aNLRs2RK8WKAQLVq0wGOPPYYHHnjA/QwT+HLg3eQRcxawKxZINFEadqizAGD8lqCcBfhhn1wA9UzfXbJkCcrLzQ4EtHzQgWxWN7m1ao8KpAz7dXeOHWZkkxwMWp+IdbS1s0D697A4AeL2Cnc75862cBQy0YjbIg3lLKCIQhgCyr596YXL8gta75Kw8qiuNuo0NnnN2gNBhz3t2bMnlixZgjPPPBOGs4AegiAnJwdDhw7FsmXL0KxZM8tjWIXbYuUsJ0fDZ599JnyLiQVOAdCE+2TTpk0oKytz/FvCEIZAFHfbPS91s5T1IazK/aBBgwR3CABoULvl3cnq16+PK664AkC0wxDInAXCFIaA5iHM9ZXXhHHhiMIZSiygUCgyEvqgTrTCksZFBIyBrzA0NhQKv4nFYujRowe6dOkWTxsyZBjq1q2b4FvBwToMVCzg1kC8fOWFPw1dvyZuMpHly5dLUnsDmAN9UILn7bff9jpLvlBZabyuW1eLK+6tyg8dIKbxNOn9w9wNnXZ2wxiGQMxDFDqtVmJG/TN5/sU408kmeOj+qVwTsWxoWsyzQbmpU6cKoUOakte7ARyL5+G773Z5k4kEyAawrGK5UmKxGMaNG4f169dj3Lib4ulXXfVrrF+/HhMmTPBspb+RN+P4Xk4eMWeBevXsigWM19EVC/DOAl7Xh6ztkpMDaFoNAHad2cXMAbAeQCmAdtx3jx49Kg3PQ9tDMutXt0WaublafLA/DM8Pr+En5vn7IFEYgkQrWdPPkzPhmZuw/OflaaGaBPAaWTmgdaAb1yCKwkmFu0QlDAGDFwuEN5/0utL6mPaxxPZ8GOq1bt26YcGCFQDaAwD69m2ARx99FJ9++ilmz56N5s2bJ/w+W9UN8NfAcIiRdQo+Ia87mz49ePCgzdwbyFb4+xGGgD4PU118xocyMLuTWZX7vLw8TJ06VUiVOws8+OCDqF+/fu3x+G9E6TkgcxYIUxgCfgFG8PkJCrFuC0Ndp3CGEgsoFIqMhD6cWWNC1mATlb7KWUCh4Acgw7zqhOVTVPC7eexkaV7Ad7b9OWemsGfPHknqYwCuBXCX6ZO9e/d6nCN/4J0FNEfOAoBRzmTOAk4732FcsRDlMAROYhfzYgEjbqfVd6wcJuziVz25b98+LFq0SEjlnQX0OKs6c+e+7H4mksB+N3UToKt9kw1y16lTB6ecYgj1OnTognx6AA+RDfB6AQ1DcNxxzsIQRC08GLum7DckG/R1CyqCrqmhYgE27HMigNOgDygXS75vriho+aDl2+0JfRqrPptWlMtWRDISuWvQa0NDFzu9ZlVVVdi2bRs2bdqE3bt3m/Kk/x/u2uEngpYDY1ItWvc/pbq6Gu+88w5GjhyJU089FSeddBLOP/98zJkzh5sUk5UD+tynzgOpolb7KaIUhgAA9u83pizCnE+aNzouUVXFh9gB/LHHd8LnnxuNrTvvPA//93//hzZt2tj6rlW4LWNSV1bH7COvzQtSmjZtakpLhsyhx29nAdbnchrWlhcLGK+TOQsAwNChQzFz5kwUxBsBvFggNzcXjzzyCK699tr4d8R6P0rPV7mzQHjCENBrG4WxBq8Qy1SYhV4KOUosoFAoMhKZNaNs8MRK6Ru0LZhCESS0oWtlnRwGWN7q1qUrqtzJb7BiARWGIFWaNGkiSWWDDubPGjdu7Gl+/OLwYaPMFBVpSSemjhzh3xtiAWN/dl85FQyFMU6dlTgizIhiRjqJZDXwJdphJrMwFldAOG37yCYavLi277//PioqKoRUa7HA22+/634mksDKGJ3gtlpxZQW91+g97TX8M9+789AwBHbEAlEOQ8CuI+uD+BWGgPZr9LjO7MZnI9BUgNIAlFgsho4dO5qOScsuLd9uhwqgIRSMY4e3DeoWtN4VxQJWEzEAf22oiMOuWGD//v148sknceaZZ+Kcc85BcXExOnfujJEjR+Lzz78gedK4fHnvjqFv9XIQbce/vXv34vLLL8fo0aPx7rvvoqysDHv27MG6detw9913o1evXnGL7kSxrwEVhkDhDioMgTfIFirp6eawYoYYLhzPt40bjQd7167OCgPfzjXHa8/Pj6G4uFj4Fu2EFnCfFBcXp9Q3TxTGxUuxgGyi3+l56T3JiwX0bbJyP2LECHzyySf47W9/i1hMb9fFYkW47bbbsGbNGtxwww3c/pngLFBQYJS7MDkQ8YIZ5/3qTCGMY0EKZyixgEKhyEh4sQAbaDA3yNlAi5+NSoUi7NBOgzipGCYMZwF37VfpsSl+qWL9WuWZiQwaNEiSWkfYGgwePNjT/PgF7yxgPPesOmfmyfOYaX8mFnDuLJD4fRCI9UIUFO6sfSKLEW5Vz4nW0U7CEADOB4xk+3sx+Cl3AGHinyoAB0DFAnv3OrcwTReZswAfhiD5daH7+CkW8OuZQ8UCdsIQ0InpMNQjTjCcBfwOQ6Bv2b2fl8eGe9iWPgd5sUD//v0l8W/5MkHLtNPVc8mgdV7UJ4mdIJskZiQKQyATxuvHS/5/7Nq1C4MGDcLjjz+O77//Pp6uaRreffdd/P73T3J54sMQJD18WtBVuFF2mKiqqsJp+1FPAAAgAElEQVTo0aPx4YcfWu5TWlqK4cOH45tvvrEQC7jbvwmj85PCX6IchiDM+bRyFtDj0euvwzreyMQC7dtXo2FDZ7ObVuG2WHs2NxeYMGGC8C1rscD48eMdnZ8hc2Zh9adfzgJivW33vPSZTZ/5ThypWrVqhdtuuxOaxpwaCnHvvffhxBNPNO0bZbEAE7jJQmKFoX4wizqDyUfQhHEsSOEMJRZQKBQZCR/HUd+KnexECv5sWMmiUFjBhyEI773AOgxULOBWY5SPQefvoHW61uDZzIUXXojjjjtOSM0Xtjo9evRAt27dkAlUVhqv69Y1whBYrRoT01k548MQJD6GFWEcjLYThuDTTz/FpEmT0LNnT3Tr1g0XXnghSkpKUoqd6Qai8xF9bScMgZ040+IAlNP6xi8HloYNG0pSmdUm+3+MzDdoIHMY8RbRdh5g/0FyG1EGFecdPuxi5pLgV+ghJhaoV8+us4DxOiwr8Oygaca9yAY0Wbnwuj5k14nd+/n57CLKnAWM+yonJweTJk2SHpN3FqBxYt0diDeEDlrobJq9xI0wBFSklKwOrqqqwtVXX42tW7cm2Mt4eNgRnrkJLQdRFgssXboUH3/8cdL9du/ejaeeeko6LsHXgennKcqTRAp3iFoYggMHotEnpnmjq56rq2OSsGLeT2I74bPP9Irm9NOdFwTe/cbsjJiXp2HgwIGCCICKBQxlxfjx43H++ec7zgMgDwfAnqderu4WHd2A9JwFqECMCf/tlvuKCuP6a1rM8ntRDkPA+q3UvSNM7QSz/X5AGQkY8TqEYSxI4QwlFlAoFBkJHRRnjQmxwcY37sQYU55mT6EINbRBF25nAT2fvILf/TAE7Ph+NfiVs0Dq5Ofn45lnnkEdOnoRnxwx0ho1aoQ//vGPvubNS3hnAS0+cWBVfsSybIQhMNLYYJfTVfjiscPQeU8kYDh69CgmTpyIQYMG4ZVXXsH27duxa9curFmzBpMnT0bPnj2xdu1av7NM4jYbAyLJQiXRa52Tozl2FnDuIuHPoPOvfvUr1K0rxjUtqt2y8ATGiYuLB7ifiSSw+6SOYGDCBKthdhagokAvJw0OHXLmLOD2RJlf0DqQ1cVskt3rdoR5UkLfFhay+8XsLJCTk4M//OEP6N27t/SYtEzInAXc+m9orPpkg78//fQTVq1ahQ8//BClpaXuZCAgZLGWGVR8ZPXcBoACsjgz2f/xzjvvYNOmTUlyZWQkFtOSCs/cRBaOIkqTGYw5c+bY3vf111/HgQOH4u9lYQjcGJswCyejd10V6RFkmL1UoM4CqYTL8gtaR9H6uKrKOuxpkOONBw4cQElJCW6//QFs3apn6Oc/3+/4OFSoRsWmhtuWHuLosccew4MPPlgbLpCqYQvQuHFjPPDAA3jssccQExVzNpGJrfwQHfKLS/St0xBN9P7jQ5npW7v1NGtjM44ckX/PasFAFJA5C7D2dRj6CYnaadmEchaIPkosoFAoMhKZNWMiZwHRrioMjQ2FIijEeFthxUtnAV4sYB3KxAtkynyFffr27YtXX30Vbdu2rU3hxQJdunTB0qVLccoppwSSPy+gE4tFRXSAQb6/6BjCyhwt40YYAmd5Sdfa3gus8qRpGm677TYsWrTI8rtlZWW48sorsXnzZg9zaEa0LQWSx/EWB8uSxZlOd5WhPPat+/Vk48aNMWzYMCG1Xu2WTbAYmbn88hGu5yEZsjAEgLNJYjqAF1QYAi/dhGgYAjvOArr9eWr1UJDwYgF9638YAl4EPWLEKPz6179GYWEjsndDXHjhhVi6dClGjRpleUzaDqTOAm5PeMjs5zWNnxzatGkTJkyYgK5du+Liiy/GJZdcgtNPPx2jR4/GmjVr3MmIz8hiLTMShSGgzwFa7yT7P+bPny9JLQTwc/LeyMjGjesDchaIbjgKTdMsRIZLAGwDwDtgVVZWYvPmLfH3MmcBN0QaosAvDO0zhb/I/vMwL5LZt4+vFMNaZnlXUz58iOj4E6RYoKamBtOnT8dpp52GyZMnY/78jWD1/Z/+9GtMmTIFxxxcZGtnAT6UWiwWw80334wNGzbgD3+YFt/vqquuxcaNGzFp0qSUhQKAXHTnx3V2Q6QghpBjOHUWOHSIf09dBylmAb2944eBRM4CYfgd5kny8I6jeokSC0QfJRZQKBQZCW/NaE4DkoUh8C5vCkXYoZ2SsDoLVFcbnSs2qcnS3Tk+v1Ib8G+Agk4YhXVQJOz06dMHq1evxksvvYT8fN2uvEWLNnjjjTewcuVKdO7c2fExN2zYgFtuuQWnnXYa2rVrhx49euChhx7Cjh07XM69c0RnASaSq6mJ2ZokZp04maPG0aPOVvKIAqMwdJStfu/atWvx6quvJv3+gQMH8Oijj3qQM2tkYQiSDUDJ7DAT2Z2m+1/JxGReDQjcf//96NixI0lhYgGzs0DLlq29yUQC2LWgk3sAdRawfwzA7zAE3gvUNI0PQ9CokcYN9uXny0/s1yS7m9BnuOEsoL/3uj5k97lx/+vb+vUb4ve//z1mz54X37dfv0tRUlKCnj17JjwmH4bAeO2m9atYd8lcJd59911ccMEFWLx4MapIQdU0De+88w6GDh2K1157Lf3M+IysP8qwG4aAdxZIXMa2bNkiSf0ngK8ADGFnjn+yY8f/4rbO4nm9gLXteWcBb8/pNjU1NZIJt+MBDAXQEcBA03eOHjX+YHa96f/vRRgCL8POKMKJPAxB8O10K6izABDeSSd6b/GOh9bOAn47pmiaht/+9reYNm0aKipY2/nM+OfHjq3GrFmzcMMNN6DG5mAoFRDSa8BeiwLaunXrYvjwi+PvTzuth8Q5zDmyRWB+hCEQHd30LcuTvf+XdxbQyGt9a3csiLWxGVbOAuY+cXjvfxG5s4C+DcPviLIQw03E6iMM/43CGUosoFAoMhLemlG+KjiRWCCsFmcKhR/wFt3hbNxZdcrdGlCU2bv61eCn51GN69TJzc3F+eefj7w8fRCiVasT0bt3b8crF2pqajBlyhQMGDAACxYswA8//ICKigp88803mDlzJnr16oV58+YlP5CHsInFOnU05OVZD94wzM4C+pbeP9Sxw8l9lWhCIyjE+4j9/hdffNH2MVasWIGdO3e6ma2EyMQCydyPaDvHTuzMdF0g5M4Czo5hl2bNmmHJkiXo27dvbQqzVdeX0tSta4wcBTE4Y+0soG/tuPRQcR4VAHmNH84CR48a9+GhQ6W49dZbcOzYjvjn06c/hAceeAC7du3ivmesGIrOs1A2ue53GALDMY2lswlYY1D+2LEC2IFee1kYAroyPlVovZGbq3HhV2pqgO3bt2PcuHE4nEBFU11djUmTJmH9+vVp58dPZLGWGfyqTf579JrRZ36yOljeBmKCkV/Ubo0Hjyje8FpQz35nbq4WWbFAbm4u2rRpI6TSCbFCiLRsabgNeBWGIN3QQ4roE7UwBPv3h0+ALIMPQ6Bx6YZTWLBhT//5z39KwqN0r91+C6AMALBkyZKEjmsU+oyi7RtW14gCWsAQ0QLutTnD5CzgNEQT3/4xXhvOAu6GIYjyqm+Zs0CYwhAoZwEdJZqIPkosoFAoMhLemlHfmp0F0o8xpVBkIrRBF9ZVJ7QRyk9qutMol02a+rUCwK/40dkCK8OpXssHH3wQs2bNsvy8qqoKd9xxB954443UTuACbGKRlVUrW0iG2X7eHIaA3ldOJrjMMXHtf9crzAPk+vajjz6S7P0UgP+Ct2TWRSOrV6/2IntSWBuFFwuwz+Tf4Ve4JP+OOADlhljAyzqrVatW+Nvf/oaVK1fihBNOrk2rj6eeegpPP/1UfL8g4luza2d2FrA/SUz/D6tBPi/gQw95cw664mnWrCexYMECaJohvqms/BF/+ctf0K9fP2zYsCGeHkUb8mDDEPDWv+KgNf2vDxxIb9Wbm/+NWHfReq+6Gnj++efJSkhrqqqq8Mwzz6SfIR+hkxziPH6iMATiBAP7P5LVwaeeeqqQkgvDSYDN4hh/wCmnnMT9H2Vl5Xj44Ydx1llnoVOnTjjjjDMwefJkbNq0KfGJbcJ+V04OdRaI3oD7lVdeKaQUWLwGfvGLX6BNmxPj72ViAXecBVQYgmyH/udMnBTm56voLBDWMitbZMDSRfFvIscvL3n++eclqcxZYJ1pX83G6imr/qaV2xagXwcmrHXLwVI2ruu3WEB0dLO7+IyWHSoWcOosIIoFrLSVZlc5e8cPA6y80HIXpjAE6hmrE2VBikJHiQUUCkVGQjs9bKA2URgCI54W+yx6gxIKhVvQBp2fExZOoCIGb8IQGK/ZCgG/Gvx+TNxkCzU1xuBFKtfy+++/xxNPPGFr34ceegjVAY24MbEAc3Kkq5udOAuwbSymcYNddlc1yPYNg6reLGDQ81RpCugYA3ALgJMBXGY6zhEf47LQCROGEcdb/h1jQNIcy1HWrjGvVE0tDIEXgq1EnHbaaTj++E4AgO7dT8bo0aNRVGQsVQqi3mTlnK6YApw5C9Dnmp9hCGjenNzrTqBigaqq8tpX39M9AAC7d+/GyJEj8dNPPwGIZhgC3lnA3zAENN47YNQFrG6gdb9oWWuFTPygHxvcsdPBPPFNz1+DhQsXSr7VEYA5pNCyZcuwb9++9DPlE6mGIRDjHNsVvF9zzTVCCp24NosFunbtwv0fjz02DU8//TR27NiB/fv3Y+fOnSgpKUFxcTEeffRRWxNMVmia8bvy8qIpFmJce+21KCoqIimy66xz0003ScuB244OVkJRRfZA22iszxCGdroV+/fzlWJY+8UyV1NAr7vE9nwQzgKVlZX45z//KaQWAOhS+/pT7pMNGzaYnJ5kWDnZGc4C8ucBu0ZujTPJnQW8F2W4IVKgx6DiCiOMWWrOAocPZ14YArmzgL4Nw++wWpyQbZidC4P/bxTOUGIBhUKRkdAHM2toJRILiLZgURyUUCjcIgphCOikCg1D4FajnHcucPfYyaAN6iiupgoTtEOcSifyhRde4GIjJ+Lbb7/FP/7xD8fncAM2sciEM3RCR+YOYjVQQCeakgkOrBCfn2F4nor/Pfs9ZpvgOjC6R2ab4NatW7ueNytE21L9tb61GoAS45UDiVeOpesCwY5JxQJ+1ZMVFfp/WlTET8b6mQcKu8/EgVE2oGXHpYc+b60G+bxAFmfWbfiJ6YO1212SNKCsrAwlJSUAwjUIaBf6X7M+iF9hCFi9wSZZRRt3en67YoFkYQjcqOOtJr4B4Kef9kgm/5sA+AzA5wA6cJ8cO3YM3333XfqZ8glZrGVGonpNXI1odxV+v3790LNnT5Iim8Q2/oDc3JhtO/wZM2bgqaeest4hCaKQP6phCAC9vfDCCy+gIK68lDsL3H777Rg6dKh0soveB270B6zaQorsQTapHdYJLU0zOwuEtS0gGzcA9DpNdBYIYrxx3759qDFV3j8DwB4yGyCyZ8+epMe1CpVj5bbFYNWiWw6Wsuco23oZXlYm8jIWn9k7Br1utM/ntN0otumswxBE9znAygstd2EKQxBlIYabiL87DP+NwhlKLKBQKDIS2jhjA7XiqjpZo9IPBapCEXb4+MXB5SMRVmEI3Lp3aceNHd+vBj+95lHqwIWRdCfBVq1aJUm9C0A5gKGmT9auXev8JC5gOAvYC0MgioDYtaExJvk4lE6cBRK/DwKrSZbhw4cLe1rbBLdp0wa9e/d2PW9WiIOL9LXVpIFoQU5fexGGgO0fpFjAcNMwPgsmDEHMlA/63s51oXU/u6f9gHcW8OYcpaUHybsDtVuzswBj3rx50DQtXubDOpkhg1+Jz4tZvA9DoG/FSQk2WE7/a7thCGROCfTYbrix8c4CGreiPhaTzTZ0AlAEfThLtNUH8qxmKEKIbJKYwYsFEoUh0OJ92GRlLCcnB3PnzkW3bt1qU6gwTq+w6DXPzQVqaugNmHgIcfr06di9e3fiTFhgLgfm9CgxYMAALF26FP379wd/nQtw6qmnYtasWbj33nsBWK1Qdbd/E8YwUQp/kfVvw3p/HT5s3V8JG/xCJdomjpnCigXhLNCgQQNJKnU+MQsDGjZsmPS4VFjOh1G0DkMAGNfILWcBflxXq92aP3Mbdu/EYhoZT3Z2Xnr/uessIN8vnQnt6upqvPXWWxg+fDg6duyItm3b4txzz8XMmTNRXl6e/ABpUF1tPCepi1tYwhDowqDohnhwExWGIPoosYBCochI6ECxnTAEVoNqCkU2Ej1nAb5T7gayMAR+NXTpeaqqYqo+SoN07bWPStUyY6GvahTj0Vrt7z1sYpHdC1a2kFZpRhgCY0ArVWcB8R6sqYkFLsCzCkMwYsQINGnShHxCrYF5scCECRN8nYCSiQWSDXzJQhckGrQyd+ad3SNsf7qKyq+Jeha+nDkLJLLr9gN2Tnrf0Pd2nqW0jvI3DIE8D26ybduP5B0TC8idBQBg586dqKioCNWKIbvwk+v81q8wBOLKZHZf0rwdOpRjq262chZw0yKd/r85OfwK+wYNGqFt27bCN6yFXY0aNUK7du3Sy5CPJBILJKrXrEI32LlXmjVrhmXLluHxxx9Hp05d4um5uXUxYsQI3HzzLfG0WEzDv/5FXZMSDyEePXoUCxYsSJ4JCfwKS/tuCWGme/fueOWVV/DnPz8XTxsxYiz+9a9/YdiwYfE02WQXLQ9u1IFWbSFF9kDrc7a6O6yrX/fvl4XPCmdeZa6mAJvg1F+Lz2U/w57Wq1cPffv2FVJpn4fvv3bu3Bknnnhi0uNaOQuw+kpsEzMMZwH3xQJ+ijJSEXaLiM9yBrt2dvvgoljA2lkg8Xsr9u3bh2HDhmHsWP35deDAAVRWVmLz5s146KGHcM455+Djjz+2d7AUoEMstFyFxYFMdh3DKm7yGhWGIPoosYBCochI6AOKNWITWSMHqfRVKMIGbez6GKLbEbRDwFZTA+5NKNAOHuvQVlf7M3EvNqijNEkSNtJ1aWjfvr0ktXYps8Sm3s7AihcYzgL6ezpQJeugiYMzYhiCvDxNcBawnxdZZznoMiwO2LA8NmrUCHPmzCFxhenAmfH6sssuw4033uhtJgXkA1CJ3Y+MiUKjokrkLJDuKkP2/SCcBUQ3DarjCGJwxspyNVVnAbdWW9lBZh3rNpWV9MIwYcB7ACoBfAdgq+k7sVjMtxX5bsI7C+hbJnrw+v4Q3UVEgZH4PBAHl2UkcxbQz+s8rxSriW9An1AZO3as8A1+lTZl5MiRKCw0P5/DimxFOSNRGAKr0A12/4vCwkJcd911mDdvUTztkkuGY+bMmWjd+gQuT59+Sl2T2J9zGXSXpd+Yjr1mzRp7mRAw/6bMcfxr3Lgled0KMSHmhGyyiw9DkH4e0nUTUkQfuXNeQJlJwv795umKsJZZOi6Rl6dxQkcxPFBQTqbXXXedkGItFrjuuutMdZQMKxc69j/ROow7c9xZIOkpbCET3fkZhoB3dNMcnZf2Uekzn13bY8fsjT/ZdRZIxa2juroaY8eOxQcffGC5z549e3DVVVfhq6++Sn7AFKDli45zhEVULKtHgxYwBIU47hL0f6NwjhILKBSKjEQWj018SGkaPyABKLGAQgGIYQjC2cjlnQWM124NeMgGU9w8fiLCaOMeVdK11zZPUADGxAQ/QVFQUIBLL73U+UlcgA0I2HUWEA0QWLl2JwyBbCWQ7a97QqLVdH369MGyZctw3nnnQXQWOO644/DAAw/gL3/5C3LEWRyPYR1tetpEE/80nQ5aJVrhIg5iOB3UYGWLtbP0Yzg6RMqwMATMWYAOsPm9ClUfDE4chsDOs5Tuc/hwUGEIvDlvgwbHk3fMWeAbAG0AnAyAHzFu164d6tatS+xFw9kWkSFb/eSXTSobUGaTEWzQmtXt4vNAjHErQ+aUQM8BpN9vspr4Zp+NHTtWcAuQOws0b97cd2FXusjC4jEShVcRBRaGsMbZvUIna6qqck3HzskBjh6tJN9gD6WroLss3QuxPXQkxRkg0Y45imFIrKACMJkJVTKxgBsTXspZQBGlMAT79pnLZ1j7xPS60mdYTQ21qte3QY03XnTRRZybiZVYoLi4GKNGjbJ1zFjMaGfQ/4a12ZI5C7gljKX1o3idNc27xR6JnAXs/r+8o46RUXrt7DwDzWIBe84CdtoM77zzTkKhAOPgwYN44oknku6XClbOAmEJQyDrpwSdp6BQIY+ijxILKBSKjIQ2zgxngeQKfjfjbyoUUYXeKwG5qieFNsjpZL5bHW8rsYAfjV2zs4Cqj1KFlt9UJpv69OmDs88+W0iViwVGjhyJZs2aOT6HG4irrJO5AlitKqCrUpMJDqyQDToGPdGXrNPatWtXLFq0CK++uiSe9stfno9PP/0UkyZNQq7V0hgPMSb9jLRkA1AysUCi0AXpCpNYeSkoMKd5ybFjRpkyxALBhSGwWnkNGANadvJEj1NZ6V8IGj4MgTfnqK6msXEPkNd7AFSY9h8zZgxisVh8EDpKA25yZwF961cYAlYHiAIj8ToeOJA8P1ZhCLxyFqD28+yzRo0aYdGiRcTtxywWaNmyJRYuXIjWrVunlxmf4Sc5+JvebhiCnBwtPsng9L+g7QFWdmmecnOBE09sQ3NVu2UuSw0BDOKOmarLkvibougsYgW9zjLxWKJxCcCdZ6sawFdEKQyBTCwQ1rzSe6tOHXBCR3FC2RDx+pc/QHdrmjlzJq6//vrasGq8WCAWi2HEiBGYO3cu6ojK1wQYDlrGf8Ouh1X0NiYydmucSebQQ+tP78QCZmG3U7GAKJKTvbZTV9sNQ5CKw8ycOXMsPjFPKS5btgw//vijZN/0sHYW0Ld+OYBaocIQGJgdncNZbyusUWIBhUKRkdAHEmtMiA8tvlPOxwbMhEEJhSJVoucsQMMQuJNfWRgCN4+fCDWY5x504CKVAYlYLIZFixahQ4cOJNUsFujbty8eeeSR1DLpAmz1gEwsIBtYE8sU24eVvdxcjeuIOxmcY8dmFpP0uEFhXkEv369lS2OCo1mz4x0NlrmNMbhotv22DkPAW5Drr63tTtOta9j+NBSMH/81cxUAABZBIpFdt9dYTabS9/acBfj3foUB8sNZwFjBXgOZOIBy/PHH45prrgFg/K9RcvySiUeYaMTr/oURioTfsusnlkM7zgL0fqJiGH71v+OscvCr5LX/z96Xh8tRlem/1X33e3OTm4UkxCABRJQdTaJEmAAOm8MWIGwxQAyCAjriCIOOQWXYZBMEWWRYBAlL2EQhyKbISIAwSIAfIA8xSICQ7SZ337rr90fd0+c7p86prauqq2/O+zz36b7V1VWnT531+97v/ZSqBdtttx2effZZXHLJJdh66+1Ln48duzUWLVqE559/Hrvttlt5BakAVE5iBq9xTRfJGraN0XGGtQ/Z8XL00UeRb7BC0lQPc4VrHnfcceEKMQz9b8rmXiQMxHp2f64mC8SbZk0e37PqeDVIDnR+Ymu3Sq/RdejoqB5lAVlKnpK3dGSBSqxrampqcNFFF+HVV1/FUUcdXzr+jW/Mx/Lly3HdddehkeW0C3xNlbIA+0z9HbbHjEtZwI9slZQTWZX+jZG0g47ZtO3QdZVfSkEZbrKA+jy5DwUp5yuvvKI4+jCADwFME44ODQ1hxYoV/hcNCT9lAaCyewV1GsYtc44NancxyC4MWcDAwGBEgk5IzGHhRRbgclUjJzeigUFU0P6TVWUB0djB38e1GKXjRdppCKLkkjNQg7Zf27YiGVunTJmCxx9/HAsWLEBzczMoWWDixIn4z//8TyxevLiiOZKZ85QVgW6iVX1YbmNyGgJZWSDMOMA2iJXIY69DUOldkSiVYIECQCVtyVUC1OVXGa28SJBxpSFI+1lTsgAzdotOtXSNM2IkeXRlAblfppWKgJYtqfmGOaUbGwtoamrSnjd58mTce++9aGtrAyBG51ULVMoC7HckPZ/rIxhFQhhDWLKATlmgXEU2WVlAp1rQ0tKChQsX4rzzFpWOnXnm93H22WeX2ky1wSsNgde4Ruu8psY/TY0OKmUB2fEyceJEWBY7yCzzdM1zeOn/GTNm4Atf+EK4QoDdV05HMXL25bSeVQ4ymh5RlYYgDrKA3P8rvc4xSB+0HelSdWYFmze73RVZXQuwsdOynP5LiY5y9Dkfqyv3WyZNmoSDDjqs9P93vnMGttlmm0jX4soC/Bh7TrLaFgOzz8Y1BqnSEFClnqTmENVeLezzlcmSDGEV/mSyAFMdlBElHc2QaxMzBsARACZBVhZyrhn/YlenLOClwJQmggRnbCkwgU/VDw3Py8CgOmFZVuo5ZQ2yh3w+D9vm7aChwZm4CwVLkhLm59TU5JDP55HPO+fatnyuQViw+jP1mF2ong3NvQwAAwO5TD7DQoGXqamJl9e24ylvsegeQ5zjeWFTEgfkviJvNmw7/ntuKaDtBHCeH91gBsVWW22FK664Aj/+8QWYNs25wLRpn8OyZSsqGn3OwAzPzc1OO6qv5+1X1WblTVux6PQb1u5raoCGBu9r6MA2iI2NQEdH+O/LiGMuUeVnVF2P5WsG0h/7hoaGMDg4iIaGBliWVTIy1dTwsjLjo36NwgySFqk39pn797ijS4L9ZnYOc0DSMRLII59P1rPT38/bZkuL81vr6mh7TffZUYNgXZ1477o657PBQf91pVsa1L/fxNM/LOF9EnXX2+s8nzFj8vj97/+Cm266CYsXL0Znp5OSYNKkSZg/fz4WLlyI8ePHl75HU4llcS2iAu1XDQ055PNAba1uLxIv5HGD3YqNGYOD4j65u9u/vxYK/Dv19fmSIb6mhrcbyyp3ncLvUVsr7+X5/oyB/o7BwXDjVtbaUS7Hy8P2o/wzfl6xKLYdutetrc0RB0W48W9wME/eW8P7aEpEYPOPNdy2VcoCowAcAuAhrF+/HrfccgtOOukkjBo1KnA55AXozU0AACAASURBVPvW1VmlNpbUuJQmaJtV/x63XYL2hfL7mNiX2f+6es1qfzFwI8wzUu1vszq/dna67bppr++CgtWrk4IgL4zHzKHM52Wm4FLZ/jU0RNtCzjXPBgXbV9O5mK0r6+rUbYuR2+Pba7nnrHye7gtYiqN465vNww65jd2X2ZOD3Y/2ybo63nboPrxQ8B//KZEa0Nctfe7Otf37/zbbbIN33nmHHKGpoNzBEtOmTfO8ZpT5RVyL8jLT/Z9jMwt8yVhB12QMjv2jOtmO5fQVmShj2xYsK+9SzzLILgxZwGBEobGx0TNaxWDkI5/Po62tTZANHz26kbxvK01S69fTc1rQ1sblxvP52qqNUMkaWltbK10EAwVYX5HR1ycfqUdbW73rvEqDBnFPnMjbWF1dE9rayp8H6PXHjuVjSEvLGEQZGl566SXccMMNeP7559HX14epU6di/vz5gjGV9RWZ/d7cHO2eBuJzBICWljaEsF0DEPtKQwN/EA0No7HVVuWWMB709jqvY8Y0oK2tAePG8c8aGka52o/sJK6rc+ZAti+src1j3Djer1TX0IFFSDQ1UYdu+W046lxSLKrkJ+vQ1uZmjdD2YtvJrwP6+/tx991344YbbsDLL78MwCGmnHzyyRgauhhADo2NzjMFOFmgtlY9LvPPc6Wys2M1NeJ3bNsdTVZf3+L7nGh/YO1o9Ghelw0N/tcoFzTaduJE537Ev5xKGSi6u/n7MWOa0dbWXPq/efhtoVDj255kUkt9ffB+U85ai7aDIOWMAhY91tqaw1577YWbbroJ1113HdauXYtcLoeJEycqCd/MCJ3LqftsFkHrc/z40WhrA1panP+LRfXaKy6wsa6pyenvrP7yeaf+ZElg2/bvK3wMAcaO5SfTJjdqVHljPKsfwNmTiZ+Ndl2b2jBzuUa0tQWXTc7avqSZDxcYM6bV9VtrapyxobZWXN/S+WrcuDHkWYdbt1O+I5v3+H4YpfbKuue+++6Pt966GevWyQ6CuQAewsqVK/HDH/4Qt912G5544gkpjZMabF7ZvJkfa21tKdWNbecSn4+ThiiV7B7PVO1gzBh+rKkp+DpMB3mIzeX4+kKHrPUXAxG6/bwObDzP54HmZqcN2nYy8365UMmoh9mPpAk2jtbUOH2Gz5sNZF52+htfD1gVrXe6HthqqzHCeBMGfO7h4wlbBzU3q8cYVgdDQ/G0PTZn5XJ8zqLrCkbMiLu++W/ncxRXvAx2P6qQOXYsXwPQ5xHEFiTb8CxLvTaS5wH63HT4xje+gXPPPZccoYES4nf32msvzJo1C5YslaRAmPlFXPPwcUBci7Zh9OjAl4wV1LfAkPZ+NC6U21dUPIOWFtFHY5BtGLKAwYhCb28v+tNK8GmQKbS2tiKfz6NQKKCjowOdnfUAHIPK0FBP6f369e2lxXx7ew6As5ro6elCe/sgCoUWALUYGBhEe3tX6r9jJCGfz6O1tRUdHR0oZFXfbguE3FdkdHUBAF8cdnYOoL2923VepbFxYy0AZxfY378ZrC93dfWgvb38eWDz5joAjuWuWKRjyGY0NQVnCA8MDOC73/0u7r33XuH46tWr8cILL+CCCy7A3XffjQMOOKDUV/r6RoEu0dav34zRo6uTlVxpbNhQAyfizcG6dZswNBQsMkvVVzZvtuBI7wF9fQW0t7v7UCXQ2zsGgAXL6kV7e99wFK/TJzZudOY3ioEB53yGzZu70d4+gJ6eJgD1sKwCenu7AbQOX6MT7e3BtP0GB51r19YWwOSKN2zYjNbWaG243LnEcVKKG96eHvUcT9tLd3ey64D169fjuOOOw6uvviocX7t2LS6//HIA3wcwEQMDfWhvd9ggtt0KII/e3n60t7vzvtPnx9qmZam/4zj6xXrZtMlpByrI/cEhGzAnUj9YlMmmTe72FjfWrMmDtc1CwWmbjpy60zdZe04L69fz/tbfL/5+23aeSX+//3jR3z8aNLp0zZrNaGvz7jdxrLXofZMa1zZsaAZQh6amIbS3d5aOM5L3ZuolFODMh3192VyLqEDrs7t7E9rbbRQKjQAa0N9fRHu77reWj6Ehp78PDTnjRrHo1F9/v1N/HR1OORjWrPFfM3V0NABoRG2tjfb2TaXjvb18nbRx46ayop43buR9qLeXjbstw59tRnu72A/a2/k+b/NmPkZ6Iav7ks2b+bzT1dWB9naxbLW1YzA0ZKGz05nfGTo6eP13dm4avoZ+ftCBrqd7e53+2d3tPPNcjj/zXM6Z22fO/DIuvvgh7LNPg0TEOwxAIwDnWbz77rv413/9VzzzzDNahQF5XpHbweBgDYAGDA0l22/SwObNTp0C6vWFqh10d/O5btOm4OswHbq7nfmIoatL33ey2l8MHPjt53Xo7HTaYU2NjWJxAEHXJ5XAJ5+I7RUA2tuTX2NGAa9XoKOjA7lcC4Acenr6UCjUAciV1vP9/c65hYI4p6aNTZv4PNrT064gVgdDPu+sO7q6+NwzOOisg9haREYu5zzbnp542p5qzurt5b/P2bOE6ytB0NPjrKksi89Rg4PObxsaCvbbNm/mc3BXF1/vDAzw4+vW+duCOjqc58Cvq6777m5nPc5An5sOc+bMwSWXXIL29vbhI5TsJvbRb33rW9i0ybtdR5lf1q/n82F/P58P+/v5Wmj9+k0oFiujxrlhA1+/MGR1vNIh6rwiQ15rAMC6de0CKdIgfsRJhjJkAYMRBdu2zWbGAIVCAYODziLBsmzkcnxhNTBQKLEpxQiuIgqFQim31dAQTFsKgGKxiL/85S9Yvnw5BgYGMHXqVBx22GEYTSidhULB1GVGoXouch7NgYFsjqv9/XwzlM8XkMvZKBat2Mo7MMDHjbo6/r6/v4BCIZjT07ZtnH322bj//vu156xduxZHHXUUli1bhsmTJw+PX+6yZPEZVAOoXDkA9PYW0NoafhPJ6p9K/PX3q/vQihUrcNttt+GZZ55BV1cXxo8fjyOOOAInn3wypkyZEvreOvT09OCBBx7AHXfchf7+VwAAt99+A8aNK+CLXzwB3Hkpth/bdsuds37DiBQ1NTbyef6d/v7g/Yq138bGIpjRIo42HHUucaulAIOD6t/T18fbi+75xoGhoSGccMIJLqKACOcZrV27ZpjICORyLL+suvzs+eVyvOx8XSN+R1UvclvRQR6n6Bg5OJj8eNXVRaUoh4bXb7Rvpjtm0rqsqRHvzXKODgz4tyeZ79zTE7zflbPWojljBweTafddw36xpqZwz4Y5oJMqVxKgfSOXK6BQsEt9N+n9Bb+003ZY/bH+PzAgzn8dHf5tjH2npkY8l+ewd/ZXhUJ0A6247ikITouhIXeb6euzhfdh6jRr+xIqCWzb7t/qPEPLNW8NDdG1qPtZB0VvLzcJsnGKrXPpXOK0YQtDQzauu+462PZlw996B8Bn4RjrDwXwQOl67733Hn7729/itNNO8y2H0z75/5ZVLO3hC4Xq6f86iG3W/XvEduBuo3HMre79hX+9Zq2/GLgR5vkwG1k+DzIvZXOvzziEzc1FdHc7/SPt9V1QsHqtqYFr7uWKgazszoFisbLjWn8/H5Py+YJLbSwo+DqXtyM21uTz6udVW2sPlyGeOigW3XMWq2fnc+c17vrm+y7bdd+g89bAALdpWRaff2kahSDt3iFNc/T06Gx9cmpC//4/evRo3HnnnTj++OPR1dUFkSzACaj//u//jiOPPDKRvUtfH/99TntlaxPZTlcZsoAqZjVI3WYV5ZRbFZjT319EQ4NJq1otMBkjDAwMRiTY3Obkj3IfB0Spb2ZMZ0QCWQbcwI2lS5fiy1/+Mo455hhceumluOqqq/C9730Pu+22G/7rv/7LqHxUKWRDkkweyAqos7OujkvpxdV36VhRX88XtjS3sx+WL1/uSRRg6OzsxPnnn1/6f2BAzs0b+JYGEuS6C/P8VKDPRn5OxWIRixYtwgEHHIC77roLH330ETo6OrBy5UpcffXVmDFjBu67776y7s+watUq7LfffjjnnHPw2mtvl45/8slKnHvuufj6148vHZPrQNWeGHmOtftcjht/ANGZ6Ad2LSoXWMk2XCi4n7lMlmDwer5x4rHHHsMrr7zic5azIHnllRf5EZ81CjvODMAAXwPJ31HVS5j+IeZljzZGRkVvL78Hyz5G5VRlOf+kQeuC9huAG0SD9AG5n/X6B0vHAlpfSfXV7m7nmbW0hDMUsfqsJlsbfY5Mopa1g6R/B+vXrN8zDg3LHyo/X9m4rAJrH3IKAyplS3PNe2HlypW44IILsM8++2DPPffEV7/6VVx77bXYuJFHoXnt3Rio0TjJsToNUGIE249SsHqXxzU61tbU8OehGtu9IM574jXoM2bve3v78fDDD4M7CB4HwPR3j3Nd/ze/+U3gstBn7Tgznfdpj+lJgI4LqjUVnaPZ76b1H8f+RkUWMNiywNpAba1dml/TWLdFgaPmBowfT9eYlSqNN1gdMgVTNocVCrzvsmPs1batyNH8cYD1/1zOLivPO/vN9Nmw+pDXDQx1dZxIGwdYHVPl+7jHT6/70nvp9l06yPMeA00RFKSe5PWczhTrXkv4XxsAZs6ciSeeeAJHHHEE8nma8rMBu+66K26++Wb86Ec/CnaxCKB7d7amBsQ2Fnb9EydU9bil2vBU6/asjt0GahhlAQMDgxEJuigXDU4WALfBjm/Knc8quXCvBtx3330466yzYCsqqqenBzfddBPeffddLF26tAKlMygH8iI7q4YkWi4nCtp5H5fBg9aD6AgLfo3bb7898Lm///3vsXr1akyePDnyJs7AjbiJF3TjLW/CL730Utxwww0eZRnAWWedhVGjRuGQQw6JXIZNmzbh2GOPxapVq4aP0HyEjnfxww//UTriVhFwX5PVCzfu2IKRImi/KhS40yhqv4kbqnvrykPbR5Jjn955wiWcGVng/fdX4YMPPsDUqVMJWUD9PChRkoF9R56uVX0hTP+gbSLtZ00VPpqanHvT9pq2sYjWGy0H/V9HUBGvIxv60vkdYrtP5p7MiBmWLMDn9rhLlBxU7YH9jqQNhzqnBBsb5DbW2Rm8XcpGf5p2wI8EYds2rrrqKlx22WXC3mH16tV47bXXUF//DIDnS2Wm45XK4E7babVzk1VOYgpOFhCflbiPtV3POiho/bFn7UU827ixHX19feBkgW44agKnA/gaxHkMePvttzEwMIC6OhqJqIboNLFLvz3rZKGuri4UCgWMGjUKOdVDhDieq+YDOq+zS9C5PA5nl9lfGLC+VFPjnh+yho4Op0+MG1fE++87hQ2ylqoEZFIdJzpZpb6tIwGV46gvB2w9EmBo9gT7zfTZsPqgTl0Klrs8rjWnXMfy+6Rsu177Lt1ezX0NkfjHEGYfXiyKeyNAJFVSyH0ojO1sxx13xC233IKnn+7A8cNxCYcfPhe33HKSoPCWBFREXEAkaVfW3qAKTqhAQTIAVV2Y9UZ1wSgLGBgYjEiwCSqfFxcQOmUB2ahmlAX0+OCDD/C9731PSRSgeOaZZ4bzLhtUE9xRJ9nelAPOhoEZreMyeNDrR42QXrZsmeLoVXAkWz8jHC0Wi3jppZeU98hqxEc1IC1lgY8//hjXXnut7/dt28aiRYtKcolRcNtttxGiAMDyMTpgOQf5jtqtLKCPKKdGD2rgCdruxX5D596sMf0rqyzw2muvKY4+DWAtgF2G/2eWpwLeeOMNADQNgfq6sqPQ+Q6U31HVS5jxUzdGpkMW4O8bG5mkbuWMRXRckckCLHrKrw/ZtpscoDP0xQ1a/qTqjpEFmpujkQUqOYaEhUppgjs9k/0dspOXvbLj5SgLyEZ/ahf2m9Kuv/56XHrppdq9Q38/L5ia6C2fT99XT9tQQVS6c3/O5azF43I0YlQVDpWygCpa0h3lzwb+PgBPDr9vAjDVdY/gksT8PW0HQZ0uURFFbrerqws333wzZs2ahWnTpmGHHXbATjvthEWLFuH99993nU8dHSqCi4o04tcPwkJeA2d1j2eQHEQbGTtWwQJ5gCkLjB0bfj+SNmSyALVLyPMyXa9W0ubI+r/OoR8U7PuisoDzqiNCsLVxXGQ/lbIAVepJqp7ZkkY1VwYlKMgkOQb6XPwI7HRfxKBbG8VBGmtpGVt639Q0NnGiAKBXFqBtLGvBCdW0d4kT6kCNLbMuqhWGLGBgYDAiwR0etrB405EF2DlcrjPZ8lUz7rjjDgwEDLn81a9+haGs7kANlJAfV1aNsNTAVVsbPaJKB1oPNA1BmEV/r0tDOgfguwB2BHCU63yWukN2ZGbVMFINkA2h5UaL0/7Q38/lI++6667AxuZVq1bhz3/+c6T7F4tFRVS6W1kA4I2mv1+c0FR1IKchcMgC/POgbVCUpg///SSglttXn+snExwX3G2lBcD+w68HDB9jixeep9IvDYGXdLTsbFFHQERLQxB1jIwKlbJAVtMQsHL5OWVUZU4rDUEaihrlpiGopqWkSllAZUxPAjSVDOAmQct9PBxZQDzulyqAYcOGDbj00kt97kJz9haFiHbVtelcnFUFrKCgDgVvZQHxOB3TqWM9XmUB/hm7/qhRrbCsGvCcxX0AOsgVKYER2HrrrdHY2IggkIn8OqJEHHjllVdw5plnYrvttsOkSZMwbdo0fPvb38by5ct9v/vhhx/iwAMPxI9+9CP8/e9/Lx1vb2/HDTfcgH333RdPPvmk8B2xzaqUBfh7nh4xXmeXURYwENMQOO+z6sTZvNkZgMaN440/q2WV0xDQ9IjyeEr9qpVUdYhLWYD9ZjauOb9ZrA8ZjFAel52JO+35mBmG0BgVamJdOOIeHYd1aQj82j1bY1P09anPdSsL+BbRBVqetNZgemUB/r6ywQlGWYDBpCGofhiygIGBwYiEPg0Bf0/za8qyYFsqCzAIHnnkEcXRgwCcB6BeOPrhhx/ixRdfVJxvkFW4o04qVBAf0AVnbS1ilyqlRljqCAuz0J0yZYp0pB586dXsOn/rrbcGYJQF4oQ7qr6868kREOx6L7/8suLscwGsA3Cw6xP1+f5Yt24dVq9eLR1VKQvwH7p+/SbhbLWyAHvlctN0Ix7UiRxH+o64IRIYvKO86e9MMuJuu+22k45QSx1zqnCywLRp05wjPtEqsqPQea82Wo2ENASWZZekTEWyQLpjZhBlAb96Uc21aSgLFItiv02q7qKmIagWGXIK1o8sixMZ00pDIEviysoiUZQFeBoC8dkFzQe8ePHiEhlSD75Ze/31v/lee6QqC3iRBeQ+IEfhR93DqogXKgcIc7zU1zfjgAMOJVfoA197ADJZYN68eYHLQscf8TcFvoQvbNvGhRdeiIMPPhj33XcfOjs7AThKAffffz8OOeQQ/OxnP9OqYPT29uK4447Du+++q71HT08PFixYgBUrVpSOicoC3mQBlVx5HHUQRGnKYGRDTEMQrypf3GBpCMaP550jq843t7IAO265ot6Dzp1JI25lAZ7Sjn8mrxsY2B6TEu/LgUpZII169iZpB70Gfy+mIQiuLKAmCwRTFogyD/jNZ0lApyyQnTQE7mNZHVuThklDUP0wZAEDA4MRCVU+NkB0AHptyo2ygB7r1q2TjtQCuB/ApQDmBDjfIMuoljQEtFw1NfETfURlAf4+jJHi2GOPlY6QUGuIUVZTp07FrFmzhu9dPuPbwEE5eflUcCsVWMOvql38qQDGA5jr+sTfcaLGoLIB0nbFrsvL098vWmFUt3anIbCFzXc0ZYHspSHgZAFdGgL+Psk82CeddJJ0hJIFmKPFGdQmTdoKO++8s3PEZ43CiZJueUb5O+VKBFYyDUFvr1POpiZbML4yYkRWlQW8DKKqNpkGWcA958d/j4EBPlaGJQvQvL/VAlaHqsgn27YS3WPociOz40kpC3jJxP/1r39VHD0DwHvgSir8Yv/v/73uq1owspQF+G9RKflydQ3xQ1YvluWMg1GVBWj9sXuoUtqweaVYBBYuPItcoQ9AN/mfk2HHjBmD+fPnBy4LLXsuZ5Po3HgcSgBw3XXX+aaN+uUvf4lf/vKXys8efPBBvPPOO7736evrw9VXX136n7ZZ1ZrKPw2B7y19IbehrDpeDZIDJwXbxKFdwQJp0NfH10DjxmXDGegFmSxAiU4yiS/o3Jk0VGuVKJDVb8Q1sfo7NBAjjnHIi+AGBE8JEP2+/AbhyQIiSY5BVBbwvgYlC4wa5dxYt491B6UEKqb2GmmlTNMpC8Q9T0aFmoRfPXuXOGHSEFQ/DFnAwMBgRIJNRrmcaDSnCwj6Xpb7S2pBORLQ3CxHRDcBGDX8Xo6kBlpaWpIukkGMkBd3WTXCUhlFy4pfqphv+m2BvRzG6Xncccehra2NHGnQvAe+853voGZ4Ry3XuTHmRUfcdSlvvNn/n/rUpxRns2dc7/pk6lR3Tt8gmDBhApqamqSj1MrDCsg7QmNjq3C2auPK6oUS7cQ0BMHafSUdyDqo1A70aQioMT+5Te2xxx5bUhJxQL1worLAl788o/SJLqUAg8rBozNalSuXqCJhAOmmIZC7QqWi0FWy8wzUoOVVLpVRL0nCCoP8zG3bir3+qEO6uXnLURagbSGtyCd5DJAdyPLz7uwMoywgHg8a9awmx50FYDsAzJHMB63BwT5fZwodq7cUZQG53dD5GhCd+WGgVhZg6i3ushUKwM47f4FcQa0s0NrairvuugsTJ04MXBY5wlJsB4Evo0VnZyeuuOKKQOdeeeWV6OjocB13p4ICgBo4aYREPP744/jkk08AiGsKVZtVpaOI26kYR0SpQXWDOrWznIaAqQoAwNixVFkge2UFRGU2QFRtYIQwlWLIyFAWcF7Zs6H7AB1ZgK6N4wxMUUX4A0kqCzivQfZdftdwrsOfhagsEDwNASPX6NZGcQRS0PKkZSuk5daRBbJib2DIKrkpaaja/pZaF9UKQxYwMDAYkaDRkTpjlpwXETDKAkGw3377SUdUTg4Hzc3NmDFjBgyqB/KGIatGWLZhYBtUXfRsVOjUScI400aPHo3bb7+dOHfVygJz5szBOeecA8AxFsqbjSwacaoFaSkLHH/88YqzGUlADNloaGjAEUccEen+9fX1mDNHVnCh16c7dqexWpZIVlBt6uU0BA7RjhPogrZ7nTR9JQkvKgKDPg0Bf9/fnxxxsKWlBXfffTcmTJgwfESvLLDTTp8tfeInyaxOQ+C8ymOjqg7CbOTps6bqK+koCzivTU3qKP60jcleaQiok9jLoKYqM1NQSBKqMTFuwx81YoZPQ5BtmWQV1GQB/j7JPkL3PwAfw1n/j5aGwHmVHQpB86lPnjxZcZSR2Nh4xxdaEyaM1RK9GUZSGgLRSezuH/o0BM7vlokhYdsXXdcUCg5ZyCta0rbF+t9zz8/Dsnhy5Lq6sfj617+OJ598EjNnzgxVFuoQp2sQIJ5+s2TJEvT09Cg+cYfW9vT0YMmSJcIx27bxxhtvSGdaAJbDSTv1OeGTQqGAt99+G4A4rqrGWPrbk3IqyvOMISNveRDJAtmdXzs6eOMfM4arnWW1zcoKPCqSFycBec9vaYHVZb2b0x4KbG2gVhbQpSHgx+MgxqqUBdIgC7D5W73vCk+01ykL+LV7kSzg/FhdxH8cKRorrSwgpiHgx7OiZOh1bEsADbqSjxlUBwxZwMDAYESCRtbopIlMGoJoWLBggXRE5eRwMG/ePLS2ilGtBtlGGpLEcUA2XscdHcGuk8/bwmYt7KZ+7733xh/+8Afsv//+kMkCkyZNwgUXXICbbroJueHBp1wHnoEIuf2W255lgwa73qxZs7D77rtLZ9dJrw5OPPFESXEiHE4//XTUCZqRKmUBgJEF3MZhFfNdTEPA+pMcLeIH2n4bG7OXhoA5l3XjBHWaJBFhTbHzzjvjySefxKmnnorGxjHkk0bss88+sCznIYgGKO/IUdl5RL8vG61Uvy2Mk102BqZpdObKAqIRkhlgs5SGgHZVr/lJNTZVIg0BED9BjTqkw5IFsiyTrIMfWeDPf/4rFixYgD333BM777wzDj30UNx5553o7u5GuZAN5jKRUia8BVEWkOWVGYIqC8yd607Fw6Xq2bqID1oHHDBbiGhXjXcjKQ0B/X2qNATsGcrjs0wO4yoS4fqvvK4ZHFQTz+j1af1///tn4n//94+l/3/yk5/jqquuwnbbbReqHM61xfvFLS/8t7/9TXH0TACdcNQuRLz66quuYwVXQSYD2B1OW3an42Pn0zqjecwZ1HaJeJ2KbmWB8q9pUF2oljQEVFlg9GibkKaySQ6T90+sD9M5l/Vnv/ktLcSlLCATdWl70ikLUPW5OAh/Xmo4QBppCNz3Dfps6Xm0vsIo/FGywNixzo/t61Ofq1tLhEEl1J1ouWndUPJNJccyk4aAg80zNN2ICX6qLhiygIGBwYgElQLTsQ0NWSAa9tprL4kwoCYLTJ06FT/96U9TK5dBPHCnIcjmwo4tvpkjxi/iNiyorJyYuz18feyyyy6499578Zvf3F86NmPGv+D//u//cNZZZyFPrKFeUd8G4SFvTMqtS3lDzPqHZVm4/fbbpfQCbrLAV77ylbLHxZ122gnXX399KW2FSlkgl8uhsdFpV0EIQHIaArbxDhvJI0r+8+OVbMMqtYMgygJA8jLwU6ZMwc9//nMsWfJI6diBBx6JBx540CVbCnDHic7o5WW0ksdGr3QUQSBH06cpF88i7ikhhZUjrTJQ0PYdVVlANdfqDH1xIg1lATENQbjvRnWAVhKsH4kyqbwdzJ9/Kh599FGsXr0aa9euxcsvv4xzzjkHe++9tyJqORxYPbF+zwznbGyQx+Lubv9c8Lo0BEEl4vfZZx/svPPO0lE9WWCrrcb5OolHkrKAH1lAR8SS52s55URQyGPP4KAlkO7lshWL4thUX29j6tRxpFximq0wEKNwbaHNxSPDTC6YVgAAIABJREFUr1qMzIGzjjra9YlMDLAsCzvssIN0Fh3UvgAZ22+/PQD3uCqvL8R2ID5TpyyKooeE/PON8X7LgyoNQaHgPw+kjc2bedtsbS1mXllAnidVRAx1epEUCqeBaq0SBbKyAF2vyWtihqSUBegcmgYpQ15zAeFTAtFxWFQWCK7Qp1IW0K2N4khHQ8uTFmGT3aemRlQOTku5yw8mDQEHW680EtHhrI7dBmoYsoCBgcGIBI2I0El9MUM8O4++VpNRshK4+OKLceaZZw5HQ9NdgEMW2HXXXfH73/8+VJ5Kg2xANhxlNWKLLTiZ8SDuiFJdGoJyrj9u3JTS+1GjtkKtYgetziNuxqOokNtvuXXpZez91Kc+haVLl2L+/PnDqSd4GoIJEybg3HPPxT333IOGhuiGdIYjjzwSv/vd7/DVr36V3AcABjB79mw89NBDaGpy2lcQo4CsLMDaPDMgBW33dCOY5TQEQZQFVP8nhdpa7mywrCZl7mL6XmeA4g4efgGd0arciHJRNtMmY3DydcaMYm5lAVa2dMdM2k7iVBZIIw2BOhIm3nuIaQjCWWyzLJOsg1pZgLYLdajdRx99hGOOOQbvv/9+pPuq0qvJZAt5TLNtC36CBlxeWd3fnHvr26plWbjtttswadKk4SM14POWmywgR5SrxrtK5MtNCrrxnkEX/Ss79MM6KBhUikkqaWV6feqEqKuzUV/Po2bLGbfcygLxRtZPmzZNcZQR3Rtdn2y77bauY/PmzZOOULLAXsIn//Iv/4JPf/rTANyOG3ktpgpiiNupKN+z2vuOQXhw5TxxXsraHEvJAqNHc5W/rDrf5DQEbOyifU6VXqSS9c6VBcq7Dvs+G0/oGpKO4RQ09UEcey0+Z9HUOcFSJZUDVcoemaTpB263tgWCA30ufvuaMGQBeY0fpQ3Sdp1WGgI5UIghK2kI0lBqqxaw8ZAqCxj/SnXBkAUMDAxGJGi0hW5BTt+zBZ5RFgiGfD6Pn/zkJ3jllVcwf/5ppeNTp+6EBx54AE8//bQUYWtQLZA34Sx/adYgs+HZRiGuvkuNKWE2a16gmzZdxKhRFogXceTlo9ApCzBstdVWuPLKK/HaayvAIv532mk3/O1vf8MPfvAD1JebGJJg+vTpWLx4MS688LLSsaVLH8X999+Pvffem0Th+BuHWRujqjz0NaghR3TMZ2ODqCqTrh3EnbYiKOh9enstyennNkDpxmSZ7AHo1zWqZxKmf9BzqbJAGuMVVxYQj1cq8ozeTzZiUQerV3tSkXjSiJhOQzbTpCEA3nrrdXKG3jK/YcMGXH755ZHuKzpa1fsaVo/UsN3V5W0SkucFhjD5gKdNm4alS5fiqKOOQk0NTbvSgFGjRuFf//UQcl0bYkS1t+pGVhWwgkLlJKbgTjJZKYmvU+l3w67ZVU5sP5Ua+p2GBmduYkov5ZAFKOmkpka8fxxjwNy5c2G55BvUZAHLsnDccce5rnHCCSdIZHhKFvg0gHGl73/nO98pfRJGWUDlVIxHWUH835CRtzzQNH5xkeGTgC4NQVbbrJyGgJeXn6Pq1zR4KW1wW0p5shLyHOWltsWQlLIArdt0lAWc1yD7rjDXAILvHwBOFrAsG6NHs7lYrUQnryWi7JloedLeK7uJq9lIQ0DvzZzkWRtX0wJPQ0CPVagwBpFgyAIGBgYjEmxxJkcFUwOKV27ArEmxZRWf+tSnMH/+wtL/u+wyHfvuu6/CEGNQLVA5w5OW4o4CLvcnGsTjYvBymUY7tk0INW7rpeGMhFmcUMnrxnk9Xd9oahpdet/YOBp15Wo8eqClZWzp/bRpXL2C3dJNmKByh+JmVo5MZ8acoIYEUfKfHg/2/SRAHU3MmTE4qJZcrZSyAH0mMllAlX9T5zRQyWHqjFbqCIjARa5oGoKeHrWyQJploJDrgkLMOaq/hsrYlkYagnLTUQSBmIYg3AKbk1CqZ12pIgs899wz5AxNEt9hPPLII2hvbw99X9W4IUebszFtzBhKFvCuW+pcogibT33KlCm4+eab8cQTz5Nj22PFihU47rgTS8fyef9ri/ly/e+dZdC5KFoaAvE1bF9RkeTYXELLQ9PgyGkIAKBp2OfOxucocCsLqD+Lim222QZz5syRjqrJAkcddVRJFYBi9OjRWLx4McaPHz98RM6tshcsy8Lll1+Offfdt3TUb33hpyyQTBqC8q9pUF2gTu2syHersHkzX8iOGmWX5p+sSlnLaQhYH6b9nPfrbCg6xKUsIBN16RwkkwwZKFkgjr2WXxqCpGy7KhUeulcLcl8dIVMMVvG+BlvHNTfbpb2ubVuB1MOirK/p3iGtVFBBlAWylvYwa+NqWmDjWlZUJg3Cw5AFDAwMRiTYZO2kIeDHqYHda1NulAWCgy6M0pDMNUgWqoVcFqO23MoC8UoVUyNsmM2aF+hmStdX0ojy3JIQv7KA+L+ub9DjST8/en26gdZF4VDHAHO2ytEgbC7URTTqoFMWqOQGkd6b5rhXjRVyOdOKlqD37e0V1VxEGWjn1S8NgToaVB9Jwo2wwduqOw0BO578eNXT47zS5wlUzrFM61JOQyCSBfTlUqUySEPaM31lgXDfrcZ1ORs36Hj83ntvkzOYZfO3AN4BsLXw/b6+Prz22muh7ys7WgG9skBbG6/Qzk7v501zXFOEURagaGraqvS+trYVLS0trhQKftemfSMtQ3VSUKXFo9Cpa1AVPYCPG+HTELjnBlVKG72yACML8GjGqJBV/2ibiyOyHgCuuOIKzJw5kxxplF6BGTNm4Morr9ReY9ddd8VTTz2F0047DQ0N44XPdtzxBPzud7/DySefLByX14/y/6p0FGEJOX5wp5qr7r5jEB76NATZagssDcGoUUVhL55V55usLKAat1m/TiPiPQj4WiUeZQG2dqS/WV4TM1BCeRxzuJfTHkg+DYGK2E3L5QWahoCCzn9+YzVTFmhutn3rVl7jR+lTdH+cBrGZ3lNur1lJQyAqCzivW6oNT0UWyNocY+ANQxYwMDAYkaCOvjDKAmFzTBm45ZMNqhuqDUMWo7ZkNnzcDgV95EX0Nh4kDYE6n3zkW27xiGNDTCFvunV9g46LSTvK6b1o5KcuCofWCZNx59EgzivrT8zIQ+9RLBbxpz/9Cd/4xjewzz77YN9998Xpp5+O//3f/xXulZUNokhg4O+DEKPSUxbg7/v69LLUzJCkG+dk55HzHsrv0GcSJQJCTkMgq1QkCbbWcCsLVCaSw1tZIBhphvax1tby5byDQjWnxT1m0Vyq8jPzQ6WeaTmQIwydY9SDWgtgAoATAewI4BDIGIjAVKLOVJ00Pbvs2LFhlAXU0YdRo567u/l7Vh46HgWJKKfV098fLHovq/BLQ6Aj/nGHvvga1qksNzW/NATFoiWsfZhRnJG3ylEWEEloyUTgtrS0YMmSJfjhD3+IrbfeGlxZoAlbb701zj//fCxZsgQtPsymKVOm4OKLL8Yll1wrHP/sZ0/El770Jdf58vNzP099/3U+9/5dQeCOKC3/mgbVhWpLQ8DWQ7rUalkBqz82T6rSYrE1vBjIlEbp1IhLWYCtc3lKO/5ZEGWBOOxMlSILsLULfaZhn6+OkGlZ7rrVgZMFxDzxKnuTOx2Nfxll0H6Y9l7ZvRbNXhoCth7K2riaFlRpCIyyQHXBWwPPwMDAoEpBDeY6Vr6awe8+z8AbsnyyQXVD7TiwAGTLEss35eLGO65FOY+8sAVWfFxpCHQRo2ppcNOvosLLUR4Fbrlef2WBpDfR9Pp0Ay1HevDz+XuuLOD8z4wezGDBImPZ5+vWrcPJJ5+Ml19+WbjmW2+9hQcffBC77PJdAL8AIJIFspKGQCyTe1yrlLIAfYa9vZY20tQvD6bsPHK+oyYYiIoLQGdnWGUBsd1lKQ1B2u2N1qU75yg9T1+/9LPWVhsbN6YTMZ2mskBzc1HpDPVC3HN7GlAZNMeNG421a9l/NQDayDdE+XMAw07McPBSTGPjIOu3bW287wRVFnCnIeDvw+RdpuQR1sbliPJ8nirBua+tioZPMNtPohDTR7jX2kHTEETdw7pJcjrHCy8HrX+ehqB8kpPsMKf3j3MMaGhowPe+9z2cffbZ2Gab0cPtZzReeeUV1Oi8WxoMDdUL/7/+uvr7fsoCqnYQt1NRrsO01jgG2UH1pCFwxgKWfz3rygKylDwbu+h6SrY3ApW1OXKVxvJsPJzQ5ryKaQjU16ZOxDjTENC6TSMNgZpYZ7s+D3INef8AOO1+cDCssgAlC4h7Xdt2r/ujEPrFoAiHYBh2fR/+nk45vZQFTBqCbICNa5S4sqXWRbXCKAsYGBiMSNCNkI41TRdG8uI9LqnDLQGifHLlymEQD1SOg2pSFogrgpmyvMXowOjXpMZVnROo3DziBiLkzXX5aQj0jnfd8bSUBWpqbGGjHkRZgOUPZxtcPneySB7+ne7ubhx77LEuogDFG2+8VXrfSPxfWWP6A8GUBdLLw8jf9/VZgnGJrmH81I+4lKX7+/J3aL0wJ0+YtlrJNAQ6ZYE0y0BBnalyzvGgygJ0nh01iqUhiKuEeqiIAXGPWZwsEP67nIRSPetyFVlg9uxZ5IwaAGPI/0TyBMDOO++MnXfeOfR9xTQEThuSCUZsvqBpCPyVBdg1xeNRo75p5Dlr42Fy1dt28JRA1QDRSez+XJ+GwDlZRwwJCjfxwlLOJbQtiWkInNc4lAXos5b38Ek41SyrBoODzg8bGMgjnw8fSyX/3lWr8ti0yV0HfspFXmQfIJ4xUJ4bDRl5y4OYhoAfz8IcOzQ0hEcffRRHH300HnnkzwCAlStfxTXXXAPLcgbArCsLyGkI6H5Q1a/DEO3iBne+lncdOWWdmJpL/Z24lQVUttt0lAWcV7oeCptmgvZJGbq9vAxKFqBEDHl+LxR4m2NljrLml9cjadgKdcoCYrqi5MuhAytfLmeHTuM40sDaB7W7bKl1Ua0wZAEDA4MRCWpA0eU7FDflolGtmuUs04ZRFhhZUDn1smiEpTKKQPxSxZRwRDcl5RhT6EZKR6wxaQjiRaWUBeh9k+4/7DfJxh5dFI63soDzyuZCaqS49dZb8eabb/qUhncWdxR/ZRCOLCD+n5ZRUp5HVesT573zqicLiM4jQE8wKDcCgp7rKAukE0VBo1obpYDsoHKdcUMn0w6I/TK4soDzsHQKNHEiDWUBZsRsaQm/uGbGzGpS/GLjCG0PBx10ADmjFsBo8r8Ymfytb30Llspr7AMxOt95ZfXH+j/r92HSELDvyO07at5l6lxVKQvk82KEvUoVRXawZJHUGhQqpTsKndGZO6fEKPSwfcVNvOD7ZR3xjBKZuLKA839cZIFcztbu4eOCvBaPQtDq6XEfk9UFHIKLd5tVkQWSSkMQhSBoMDJAyY1Zke8GgE2bNmHOnDlYsGABnnvuORQKThqQvr6P8d///d/4+9+d/UdW26yOLEDH7awqC8iqQWHBvq9KK6QjC6ShLBA2wj8K/NIfBHm+KsIBA9tD+K3L6TpbVBYQz1OlC4zS9ytBrtcpC4jjWOXsDew51tYGJ3mMVLA2Rft5pecYg3AwZAEDA4MRCSrNqIt8UTP4vfMBG7hBnSuGLFD9UC2ysyhTKbOLddGzUUGdbrkcN1yXs+injp8waQiyGkVRDaiUsgA9Ly1lAdnYo8tzTOtEJgvIMpo8lQFwxx13BCgNtwrV1vI0QNmRBVQfZ3AbPxIrlnRf/r63V1yrUIccH+fUY4I6DYHzKhOdxDQEosJEENB2RRVYkjZ80nWGLg1B2sZXVpcquVV6zGssoG2A5ehNY02lnnPiu/6KFSuwYsU/hq+7EV1dXaG+H2cagoGBATz00EM49thjMX36dMycORNnnHEGXnjhBdgxsoS5tC8/NmECTTugVxZYuHAh5s6dG+m+KkUSnbLA6NH8ZL80BLr2HTXqm6YhGBqyMDTklp/3urbKsZCWCkwSUO1HKXRpCOTxXneeH9zrJEvpeKHEM1bflsUj6Ng8Us645VaYiKZeERRyWaMQtBg5gsrt/vGPG7BmzZrS/0HW9rp2QNM/lAPb5usA9qwKBWuLt3m8/vrrOOecczB9+nTssssu2H///XH99ddj48aNlS5aImBzqawsUNl0YQXMnz8fL7zwAjnK5shNw+c4Xs9Nm7rTLVxAyKQ6Nh6r0lR5keHSRNzKAoWC5ZK516UhiFtZgDvto0f4RwG7rmqv5pTLf06hASoyVO1IBVFZgNatXk2GEfyiONjl8qShhKYi4gJ6FeG0weZ0OrZuqQ5yttYwaQiqF4YsYGBgMCLBFm6yLLMfWcAvas/ADTrxG7JA9UO1kMuiEZZHcoqqIHExiuWILb4Rjn5NWo+FgqWsa1X5zeI6OuS6K7d9yOSAIOkkkibb6JQFmCFG3tCz8uTztitiQY5uYP2rs7Mf77//vnTnWgBPAHgEfEvBd/BdXZsq5ryloG2ARluonou7rtJXFrBtS5hLVU4D3RqFO4/479SnIeD3YBH6UZUFamrsyFGtYdFN7MRUKQLIQhoC92eisoD+GrStpZmGICmC4Msvv4yDDz4YBxxwAN580xk7PvjgTeyyyy5YtGgR+gL+ODaGFIvlObXee+897LPPPvjmN7+JP/3pT1i1ahVWrlyJBx54AIcffjjmzZsXmsigg0oqlb7fY4/pEMkC9Zg2bRquvPJKXHzxxZFUBQDR4S7vawoFZwzgBjygudmp0KjKAlGjnuXI8/5+7zQE8rVVjoWRoiwQLg2B+Dl91mGgVhZg11TNJVZp7VNfz8vM0xCEuz8FJbXl82IbS2ItLJMDouxjmZOmsbELdXX/BADceOOL2HXXXXHggQfi3nvvRV+f22Emj7M6hYm4yNBhVJa2BBQKBZx33nnYf//9ceedd2LVqlX45JNP8Prrr+MnP/kJvvjFL+Lpp5+udDFjBx3Ps5KGYOnSpRJRAJDJAoDTUN99d2VaxQoFWVmA9WG6tmPjadLpVYKCExvjURZg1xT3B+rveDm0o0DltKfvk1KNZf1GRdKm5fK+hvOqqiu+T/e+BtsbNTfbAjFenuPURHH/MsrwS6uTBHTKAuI4lngxtKCqLZwskD0bahpgdZEVlUmD8DBkAQMDgxEJNkHlcvoFuYos4JcP2MANujjs7TUpHKod1ZeGwHmN2ykpb9x0UdphIBtkVRFMKieNIQtER/LKAur2QI8nvTkKqyxAyQWydLzsfGD9q79fNbDvDeBAAIcD2JPdtfTp0FBvLP2mXOjIAkGUBdJSVZHbJXWm6XJGq6DOM60mGKjqJUz/oPUnpiFI9ll7KwtURvaRtW9VBJVoRNXXjUpZIA2inqquyn2Gzz77LI466ii88sorw0dGDb92obu7GzfccANOOukk9Afw8NI6jTq/f/LJJ5gzZw5WrtQ7Gf74xz/i1FNPRSGGRQQ1GDJQY+aPf/wznHXWf5X+/9rXjsGyZcswf/78yEQBwO1wB8QxQ472Y6QUP2UB1e+h93CuH7zcVFkAcNq5LD/vlatd1S+yuE4NCr80BDqjs5x2hhO2wtVFUGUBSkZgXB/q8GHjcbzKAurP4oJcVl2KMC90dTmVtWnThxgYYA7PvQAAr776Ks466yx8+9vfc31Pbscqsg8Q/bnKUDmJnOPV23fKwaJFi3DrrbdqP+/s7MT8+fPx0ksvpViq5EHJ8FlJQ3D77bcrjspkAaeA69ZtwieffJJCqcJBl4aA9js2vcedXiQqdJHaYUHXNw5ZQNwfqCCmISjv/oB/OoCklQXKSX/A6stLWShoGgJZWcArDQFVlQtrv5X3DmnuV+Q2JSqkVG4+o7bDtFLzZRWsLkwaguqFIQsYGBiMSFCWp86Y5ReBYxAMdLFo21ZVR/cYqDcj2UxDIEa6xZ3XmG022PjBrl/OQtcdwaS6r/vYlmrIiwPyZjZusoBuvKPG94GBZElUOmUBXf52Si6QZfKoPCm9Ri5Xp3BijVK85zv48ePHZGKzTA3sTHIRCCa/XgllAUB0pqmiVfzIAvQ7uqhElcEozFgjSqvaqalIUCJF1tIQqIyi9JjXXErrnpEFokhih4WaIBj9eps3b8bChQslIkDL8Gtn6chzzz2HK664wvd6ceT2vfrqq/HRRx/5nvenP/0Jjz32WLSbEKgM8LJTJp8fX/p/7NjJyKmsxCEhO9yd+zr/F4uW0Gdra53ctoC/sgBPQyAej/ps3MoClstJTI3t8rVHmrKAzknMoJtHZSWgKBHotu2uu8FBdUobmqqPKgswsPFYfr5hILYDW2hzYQgpQSGvw6OMucuWvTH8rhvA/w2//yzoGumJJ551fU9eX9DnRpdbcakeqtSEgC1TWeC9997DzTff7HvewMAALrjgghRKlB6ymIaAEwsZagE0D78XlQVsuwavv/56SiULDlmBh5MF3OO7KFOfRunU4PvHcpUF+HuWWoiBrn0oamp4OoY4lQXSJgvI8zAgjt9B1kbcyeyuq+DKApwsQMlgXmkIRAK9fzkp5PkrnTQE6vaaFdITJY6bNAROXZTTxgwqC0MWMDAwGJGgBvMwygJ8Q26cc0EhOxdMKoLqRvUpC4hG0vjIAs5rUmkIVP8D6ro2i+vokJ1e5RIv5OvplQX4e9u2EnVesnvpZPncdcDOd0cssrlPVtQoFmuw//77S3duVLznlsdRoxoyl4bAT3o3KBkkbsjPKKqyAHt+ujzTFJREEUWKkp5bWxtvbnkviGQB8bNKyT5yA5H7M9mIqgNrAzU1Nsn9nbwhWT3nRK+/e+65Bx0dHdJR5jTrFI7ecccd6PUJ5S3XmdHV1YV777038PnqCMdwoGMsg/w7Ojp4Hcc1zqj3NdzBS59rXR1XFoiehiBa3mXZmdzX53aYexn5R5qygOgkdnd43dgqO/SjkGaHhtw5lamygM5pzdosNQSz8ThOZQEv0kgckMsalizw4Ycf4p//3DD8HyULAMAe5L07Kbjc73md21K9x0OGNmkIOMKM88uXL8+kczoqspiGYMg1ubeQ92zdwBpqLQYz2GjdioTusVy2Nzrfq0y92zafN8tXFhDHE5mYqIJlcbJZHPO3SlkgjTQEcSgaqIjeDEEU+mxbVhbgn6nIgAyUNBZ2fe0ORMiGskAW7A01NbyMW2rAj0lDUP0wZAEDA4MRCcrQ1BkaRKOa6HA0UvrBITs5DFmguqFayGUxYsutLOC8xrXpdhthxftGQZA0BHQTx8YlQxaIDrcEf3nXc6chUJ+Xppy9bvPMyANyn+bGIbtEtmHXkEkyPKLBwhlnnCHdmZIFmNeWF0J0IFduXqDP3G/T6laiqJSyAH9P1zD+ZAHnlUZZ6IhU7Ldalh3JqOFOQ+A+ngSCpCFIe8z0yvtKpdu9xgEeMcPbqW1biSv7qMbEcu750EMPKY7yNAQU7e3t+POf/+x5vXKdGW+++Sa6urqko+PgOPV+6zr/hRdegF3mJkA1JtP3hYIlkQXi6TOqNAS0/9PnWlMTRVlAn4YgjIGWjm+AWlnA69ojT1mAv1dlodCNrW4FLHY8+L1V9TYwoCaeiWQBpizA2wRzQPf1WZGjOClpRG4HSYzr5ZIFFi9eDL7+kckCXyDvifdmGPJ8q4qMBeIjQ5s0BBzLli1THL0AwCoA012fvPjiiwmXKD1kMQ3BNttsIx2h+wtGKORkAff5lYeswKNSieHpgaIR7eIEHQ/iVBYYHLSEtZqKRCvfN475WxXolWYaAjp3i6q2/tegirgyWB152S8o4VJOQyDPcaLCTHRHbpaUBbKShoCn7DJpCGhdGHtmdcKQBQwMDEYkaN5enaHBLwLHIBjcygIVKohBLFA7DrJnSJKdM2xRHreygCzHnnwaAvcmbks05MUFuT2Xu4mUnWg6J0/cigZe8Ns861IxqJQFWPtmcyJt97Nnz8YPfvADciWVsgC3GOXzbjJCJUCNVpQsEMRJmpYDSi4LTUOgiuzUOU1V0Sk6xSS6kY8yvrFzLctGLhf/GKwDjUqmhi4gPXUDGbQuZQRVFqBzGo32SToVgapM5dSfOpewOw2B9/kc5Toz+pQWzIMA7AngRADbCZ8MDg6iUGYjVpEF6O8YHAQ2b+ZmmPiUBURHKyAqi4jKAgikLGDb/HteaQjC8CvcaQjkFAr6FHLO+SpSa/Wuk2jdqRxMbHyWm6U83kchzarqbXBQ3EfLZSsULM80BADQ0xO4CAJE+erohJSgkB0pYfewf//738Hl0rsBbITjcAaAvciZbrKATllARxYoN5CB9n/6rDIYpJ04+pWD7lkAPg1gbsDzqxNZTENwwgknSEf0ZIGGhlZ8/vOfT6NYocDGXVanKsevWlkg4YJpQPc75SoLUFKsrCygUlhgYPPHyEhDoL6vrNyjAu+T7roKoixA13DNzTYaGvhnXkEOIlnAt5gCKpG2TxcckctxVaZKjmOcwGmnRqDPIopFUalyS0/JUK0wZAEDA4MRCcrQ1OU7VJEFdHK9BnrIi0WjLFDdUG1as2gjkRn88achEDf9cSx05XpUS+ny98xhVElJtWpH3MoCQRUD3Jvo8u7rBd3mWRctTpUFKPPdtvVpCNh3zj33XFx77bXYdtttISsLbL/99pg79yTh/llLQ0ANKGplAXVdJQ0vsoBo+GIR5+rrqB08ahIkHeN0xBIvyA5yds/k0xDw97KyACtL5dIQlK8sUFsrRusmHa0TN0GwSc4NgTz4WCFH+KvOl75dprNw6623VhylEsdThE8mTJiAGq9QuABQjcmyTOrmzfErC6j2NXplAbukLNDZqb+/nG6EQnw2wX8DHd8AhxAj5/31eu6q9plFUmtQqJ4bhY4EpauzMHtYXV2qVGr80hBQx0PUvSCfwxwpft0ePi7I42vYcluWBZEsAADvDb9OJGe6yQJy3avkrOn/5Sqn6dIQbInOjClTpiiOsufY6PpEPY9UJ7LIRy7fAAAgAElEQVSYhuDEE0/E2LFjyRE9WWDs2K2G+122IK+J1WQBe/iVH6ucsgAlD8apLCCONV7LKbbWjWOPzMkC/LfQtD7JKQvoVXiC3pedo05l5k+6p2sqhyzAf7d3GoLopDF5/kqDsEkV2GRkyd7g7KsrT16oFESlsC2bOFHNMGQBAwODEQm+6LK1Bie1soD7PANvuJUFzEKgmsGeZ9YlKlmZ2AY37ohSmsrEeWXXj14X8kZKFTFqlAXihTvCv7zryYZlnYNCftaVUBbQGRjUygJqCWueyoB/dsIJJ+DFF1/ECSd8o3RswYKz8MILL+Bzn9utdKymJhtpCKjkqpxXU4bcXpKWgOf3EeuHGn7UKgHq66gia3QOJCotHsXJzh3kEF6TftZeygJpqRvICK4soL8Ga2t1daKhr9qUBb7yla9IR5rJe5EskMvlsPfee3ter1xnxg477IDdd99dOkpYQxJZYO5cd1RpWPT3i4pHgFthIuk0BHJ6tWLRcikLNDf7Kwt4RQhGdXi4lQWoc9p5pb4g+doqAk0WSa1BQclfYdIQuNNlhR//VPU2OKh2XLPrF4t8XFKlIQDczzgo5N+kSyUYF+Ryhh1vnQhnmSzAXikRKoiygNvpRP8v9/eLZAH+Pq11TpagHudZpYjPqrW1FQcddFDiZUoLWUxD0NbWhjvvvBOjRrGURXqyQGNja5pFCww5iEFFHmXju5dyTlqg/V7lfA0DeX1D12peqgXsvnGsgVRzFp1Pk0oxqybWhZu3ZFU/Ck78139fJgvU1PAyyHMaXUdQAn3Y9bVcnjTSEHAirl6BIRv2hi07ml5WiGJj4ZaoYlTNMGQBAwODEQkqsaZbsNHFuUwWqNTCvRohGxkMWaC6wfoOjdjMohGWtTuZwR9XZIS8cYtjoRskDQG9PnsGZnEdHW5lgfLaR1RlgSSfob+ygHicKgtQ9QGZCQ5QZQHxGrlcDpMnc/nuSZO2g2VZgjR9VjaIVBpUjn6RkRVlAerA0OWMVoGtXaghkhnLZIOVKg1BFGUBTqhKx1FP1xiyskCl0hDIxAkKesyrPdGImTTTEMStLHDqqadKRyhZQExWf/DBB2siPDmowT3Kc7UsC9/+9relo9QRwSNG6+rqcMopp7iusXbtWvziF7/AvHnzMHfuXPzHf/wHXn75ZdjE+tzd3Y1bbrkFX/nKV9De7pAirr/+F/jhD3+IlStXKtIQ8DqOy1mnInxRZRFZWSBIGgIvo39UR67bQavO2atzfo80ZQG/NAS6CDVZSSaKU9lPWUCVBocqC1AnEyOfAOUoC4jtQJdKMC7I42tYh8fxxx8PN1mAyd94kwXk9YaqzoFoJBAV6P3KiSgdCfja174m5b2nBDLxWZ1yyim+CjjVhCymIQCAGTNm4IknnsCcOXOQz48in/Ri9913x777fhlANqNTi0UuN8/q1EslZqQpC8hEbDqmqKT1GeJUFmDzqGrOApJUFnDfK+x95RQWFGzd5bXGkckClsWJAPIcl5SyQBprMC9lAdbOKjmOUZU5nbrjlgC6b6DECROMWV0wZAEDA4MRCWpACaIsoFq8J8VAHWmQF2WGLFDdYM+TbiCyaISlMopA/I4qeePG7lPO9YOkIaCbNRZdahbX0SEbIMrdRMrPTBcNIfeZSioLyIY1UVmAb65lJji9pso4R43qbNynrHqnDM5rJduwKoIecP8m2/bO7Zgk5PahT0PgvOqMT7IstfNe/R2ehoBLBJaThiAtR72oLCB+FiS3ZxLgdaGOJON9UX8N3i9lZYHYiul5X4c8VD65Z6eddpKc81TynysLtLW1YdGiRb7Xi8NZeNRRR+G0004jR9zKAvl8Htdff/1wihUHtm3jsssuwx577IGLLroITzzxBJ599lnccccdOPTQQ/Fv//ZvWLNmDdasWYNDDjkE559/Pt555x0ATqfo7+/Er3/9a+y777549tknS9ctFICODt6x4yKEeO1rCgXxudbVoZSGoKvL0u55klAWkNMQUGUBSkDQjV0qAmsWSa1BoSKvU+jTEKgd68Wi/nnK0CkLsGvr5h82V4ppCPi5UZUFZAJEuWlI/CDvWcPuYSdOnIh8nkU6hyMLyOsLVR9w/hc/jwoVGdk5nr09XtKoq6vDnXfeSaTv6WKCzw8HHHAAzjvvvFTLliRoLml3GoIKFYrgM5/5DG666Sb86le3lY7deuuv8NRTT2GHHbYFkE1yiypdjzoNAXtNXh7fD3T88Yr+DwK3skCwa7M9ZhzKAnE47cu5bzkkBU7g0acy81r/ymQBgBMx5DlepWDpd30V5H6YxhosiLJAJccxdm9nbN1ybXj0N4s2hi1vrVHNMGQBAwODEQlqQBGlvtTvWU4r3bkGeshOMZpP2KD6wBZyNNo0ixKVXFlAzP8XH1nAeWWL/Tjk1IOkIaALacYKN4vr6IhfWcD7f348PaezrLLBoFMFoLnRqUwedVjI0vIq4xw1qrO2LJN4spCGgPdld/QLhcpQUillAWr4oTk3/XIXy44W+l5WTKKSqeWlIYgvVUsQsHbX2Gi7HGtsPkjbOCPLz8oIEhlE+yWV9k6agCnO+eKxqLjgggtw9tlnS/m8AeZMmzp1Kh588EFsv/32vteKY11uWRYuuugiXH755cPRpNQxNAXTp0/HkiVLcOSRRwrf++lPf4orrrgCgxrvxEsvvYTDDz8cxx57LN566y3yCRuMne/19/fj3//9zNKnvb2W4EyNa37wVkwTnytVFigWLe3anf50eY6J+mxUaQg40cl9fXm8UzkWskhqDQpxP+r+nI0rxaIlnKtLl0U/84Oq3gYH3WkhAHH+4WkI+OfUAR113JKdJvQ3JaH6J5czLHGnUAAKBRbmKJMF+Ni3774Hur4rt2OVswvQk2bCgvajLV1ZAHBSSCxduhSHHXYYIXwAQD0mTJiA8847D3feeSfqytVozxDEXPJiaq4sRezX148pvf/857cFEN/6JAmI9eq8epMF+LFKOROTVRZw7ydVYPNHHGsgldM+jTQEqrVLeGUB59VLWcCr3dM9IyOBMiKfl7IAnbPD9n93GoLKKgtkgSzAnhFVbdkS51ddGoJKq9cYhIPH0G1gYGBQvaAGFDEqgS9k6OJNx/RVLfQNRMiLIKMsUN2gEZJ1dTYGB63Y8unGhWKR9+WkolqpTCMQz0I3TBqCmhpbmS/eIBziTgcgG9b1ygLx3tcLbHMqG3vYZlqvLGALDl5xc+dcy8tIQdsza8u0/dLXSrZhHkHvjn6hUBmr0iJKye3KT1lAZ/RSORtonmkKSuyIki5CVpFg11AZxrq6urB06VKsXr0a9fX1mDFjBvbaa69hZ3I4MKcmdXYwVDoNgS6CyiExWJ71y9paXZ0t/Lak51/aZ53H4V3OIMjlcli0aBHmz5+PSy55Hg8+6ByfPv3z+OY3j8Whhx4a2AEjyiRHrwvLsnDKKafg61//OhYs6MRjjznHd931IDz22AGu81977TVcf/31vtf9xz/+Id8J3MTCB5DBQe6N37hR9AbG9YypkZTtZ2i0uZyjmBmVAaCz0xJk5BlonbvTEPD3YRy5srJAX587Vz3/DZbL+Kuqr+pWFuDvVUMijaIrFNzkWDnlBPvMy0nDoFMW8FN6YN+jxCY6bkUljrP7cinvaKkugkJWbgm7h6Xnz5s3B6tWLcPzzzPSQBNmz56NhQsXorv7MDz3nHPUsmzYtuWhLCAe9yMJBkVcTqKRhGnTpuHWW2/Fiy9uxL/9m3Nst92m4/HH/zaiSAIMslM76TQfUUH3F4w4HyTCulKgfYiTBdzzqYosUKngJDr2x6ksMDAgkr68lvk8+r38MYilgUhfWcDvvv6/TaXkw8D29l7rcrWygPO/XLeigqX6eBBUIm2fl7IAT0NQufmM2lDTItBnEfI8kwWVSYPwMGQBAwODEQkaXaczNIhGNeeVLmiNskAwyIvFNJilBsmBOoDq64Hu7uyxYsVINzH6KK7II+pgpK/lGCmCpSFQR30bhIdtq5QFyrum/Ax1m2P5PkluovXKAmoDA2t3dXVirnpVGgIvWXKRLMCUBdi9xdfKkgWc13zedkW/UKgIEWkRpeSy0MhbVQ5vfRoCHtXAoJMw5s+Kp2dgkasqg5UMvYoEP2dgYACXXHIJbr/9dnR1dQnf33XXXXHhhRdi1qxZ/jcjYG2NOjsYKmWc8TJgAZy44xUZRCNmqAEv6TUVqyvqF/GL3BscHMRjjz2GF154Ab29vZg8eTKOOeYY7LDDDsJ52267LebO/UyJLPDzny/CLruEsxZRg3sc40g+n8e4cZ8q/d/RMQpAu+u82267zXUsGOhATDs2L/zGjTLpLOKtJNB9jSq9Gp2HamtFsoBjbHa3X680BFEl4lVpCMKMXeo0BNW792DkL1l+nkF26MmG13Ik+3UqDbxM/Dgrny4NAR2To6chENtB0s5MuZxh0750d/P3M2fugquvfggXXZTHL34B1Ne34f777wcA3HOPGPnZ2ekmYst1/sYbb+C2227DBx8sArA9HnroYbS0/BmnnHJKIFUWGWKuav4+i+pxaaOlZQJ5Px51dZsrWJrkIDu1s5aGgIGS6dkYk4X9hA5BlQWypGQqKguUdy1KVqfkcz/CGrtvnGkIykkHUM596Vo1ahoCVX0FkXBXkQW4soB8L7XCTNh+Jc8bSadMozYdVXutFFmcgj7HLJObkgYlNlJSWhZVYQz0MGkIDAwMRiRotIXO0EAj87IkC1ZtMMoCIwtcWjreXHJxQiWLyzZpcfVbefMXR76tYGkInFfKSjaL62hQObjLqcuhIXdkl87IKj/rJI2xus0zlZan852qjTk5Jt2RMbprAKJhgJMFdCSbLDD9RUKFm9Dh/m5aRCm5XfopC+iMT6roXGY4k8dGlVHDKUvQMrN7qQ25g4OD+PrXv47rrrvORRQAgNdffx3HHHMMli5dGuyGw2B1oyYLVMY4Q+dNFYIoN1DFD+qAUynQxAmqLOBFDmJ45JFHsOeee2LhwoX4n//5H9x999248sor8eUvfxknnHAC1q9fL5xP27LqmflBVBYI/XUl6Ni1Zk1OqdTx1FNPKb75fQBLAIxVfMbgTxbYsCEZZQGVYho1YNP71NbyNAQA0NmpNgt5KQvQFClB117FortN0zQEoioK/w4FJT2wdepISEOgI2mJDj3L9V7lWA9KnFXV28CAOqWNWlmAf04dD1H3gl4EiCScPXI5w5abkg3Y+DZ6tLMY6+/PlcpM1xeMpCOPs7QdXHzxxdhvv/3wm9/8BoWC8+Xu7j7ceOON2HvvvXHLLbeEKiegT0OwJUY+yqD7sZFMnpAVxOJS7okborJAuqmuooDWq0ygpVCR+JJIrxIEtJ3riK5BQduRQz5na2Lv6zJlgTjTENC6pWuUpMkCKmJd0PuqCAcMYZUFmpqcV1a3sq2J1nU580DaygKqQCGKLKQhoDYQk4bAQS5nV2xvblAeDFnAwMBgRIJtiGXWNF2Q0/fqxXuiRRwxkBeHSRu2DZIFW2TX1tqx5pKLE3SDwjYMSachiCMXtsy6VrGwxfzRZnFdDlQbtDiVIZxjwZQFkiR8cGUBcfOscwDTCGY6P9J+Lrd7+RqAaFRn76s5DUEllQXkMVZHFtA5/hk4UVItHU1BHdyyoS8I+FyB4euwMdK57rXXXotnnnnG8xpDQ0M4/fTTsW7dumA3BXfOqNIQVCryjEpPqsCVBfTXYG2ttlaM1k1eWQCl+/K0I+pz7733XixcuBCffPKJ8vOnnnoKhx9+ODZu3Fg6Rp1pKpl7P0RxgPqB1ml/v+WK9AeAzs5O6UgzgMsAHD38pwPxnkKeNJzKdisLxEUWcO9raJQdXXPIygJdXf5zmZeyQNA9U28vlwum5fIau9xpCJzX2lpOrKnmNASMrKKTa9Yp4sgOhihR+LTemGNlcNDSOF6c10KBt1mahoA5KYBylAWcV5mE5nwW/1joXpeXTxZQpWOgfZyRdOR+z/pvb283rr76avIJ6wD54fOKOP/883HvvfeGKquoLMDLmLU9XiUgzwkjFbJTO27lnrhAnwFTWoqSListqNMQuM9TkfhGgrKAvLfie0Hv7yWhLEAd9XRO1aVvi+u+5SgayDYniiBOZ0qiZvdm/Uau26SUBZJeg8lptGRwO2DlgxNqamxCXhi584kOujQEWZpjDPxhyAIGBgYjEtTYoJNlVOWIpOfKxiwDNeSJP6qByCAbYJvHfJ47PrJmOFErCzivcTGKZUm4OCS0wioLZEFSrZqhelblPD9dBJ4KXjkC44afsoB8f1FZQB11ygxZXpH4tP0yg7vsQM5CGw6ahkBl6EjLiC6XJaqyAKt/ldFKNlhQBzd9zkENG3I0PX3WAwMDuPXWWwNdp6enB7/97W8DnQvQNATuzyqdhsBfWUBfLnaN+no71TQEbFyjChOqcq5duxbf//73fa/37rvv4sILLyz9L8qjhi9fEs4MuU7XrHGbRMaPHy8fAXPWAW0eV6c/slv6jJEFZGUBj8uFgCoNAd3XeCkLBCMLiJ9FIVir9gj9/RZUqii6sYun0qGk1mytU8NAJflPoSMBUBU95zW80gOtN0bmGRjwzsMspiHgn8epLMBJ/OF/UxjI5QwrpawiC1AFFXZ9Ws+MpCOvL1gf6O6WlXhEsgDDz372MwyEWKTQtlOOk6hcFAoFLFu2DA8//DCeeOIJbNiwId0CKMBIHUB1E4/84JWGIEt7TdYP6V7YS+ms0lCnIXAXUpX2tFKR0KLztVxlAXFvxX6TP1kgPmUBBtWcBSRHypDnrCj3VaVhYuDKAvo5la2zKSFXR6TUpaMpV1kg6b2KKlCIIhvBCaws2SY3JQ1dGoIsqsIY6GHIAgYGBiMSVMbQsni0hIosYFl2adEeVjbKQKUsYBYC1QzqQMqqEVZkw4vRR3ExeKk6CVB+lH+hEGxjJUZ5sntmq/6rBXHLytMNt1+KjkooC8jGHl0UPVUWoOdQVRg5DYF8DUCdhoCSjej3K9mGqdEqrLJAWmOffG9quKYymlwlQF0udpwanNh72biqMmo4ZQlaZvZ9dxqCv/71r1i7dq30jXoA3wUwy3WtB1lS+wDwVhaINx1NULC2pDO4BlEWYG3NrSwQTxl1UJFGVOW866670B/Qi7JkyRK0t7cDEJ1pqmfmh6TTEADAxx+7TSKHHXaYdGQced8IPSiLpUf4JJdzGuaGDWL/LRSsWH6bSIK2h+/Jj9HHV1sLfPjh26X/H3zwKaxcudJ1TbqmktMQRFF9UJMFdAZ3e/ja7vMBx1HN5+JAt88kVI55Cl10vRyNqCPHe4HWG5fHVysLcFKuVepDVFmApi/rEZt+YMhr7yhqCWEQZxoC5qhRkSZYPefzdulzt7IAeyc/PPaB2EDWrl2Lxx9/PHBZ6ZqHku3SSnVWKBRw4403YsaMGTjssMNw2mmnYd68edh9991x5pln4oMPPkilHCqIaQhG7p7LKw1BliJgWb+hayHqIMwSsQEInoYgrfQqQZCcsgAlE3uv+bhDOz5lgXIi/Mu5bzkkBb5P1SumBVEWoGQBZsOT5zTaVmn/Ctun3Kn8kiY28/eq9prVNARZJDclDZG4zFPcmRTP1QVDFjAwMBiRcEdbiMfpe5XEImDIAkHhJU1tUH2gDqQkGN9xQBXpxhj88SsLqPNxh4XKkK1yAtEoz0pJao8UUEMIM2iXQxagG2EWkam7nrxpTrIP6ZQFqNGB3j+YsgA/R3UNQDSusnGfpjGhZajs5h3DZRENdG5DB3/PHG1ZUBZQRauoDA90zRLE4UaVAbxIFDroVCQKBUtBFACA4wH8AsDDAMR7qM9Xg5FaaPQmA1eACXy5WOCvLMDO81cWqKuzUVfH22Ba0TpiGgL3PR977DHFtw8HcD1ERzrQ19eHZ599FgBvy42NttJ47ocknBlynarIAieffDLyQoHpbxRlLVpbWzWfiR7TxkangmVlASAeZ7efsgD93QsWzMPcuQeV/n/ooScxc+ZMnHDCCfjwww9Lx73SEND9U9Axno5ttFzs2aqd0+L5KmWBrClghYHKyUFB611UFhDJYVHIG7qId1UOZTaX9Pdz9T1KFgD4uFyuskBaTrU4yQLMAe+lLFBfryeP8d8n/1C1sgAALF++PHBZK5mGoFAo4PTTT8ePf/xj/POf/xQ+6+/vx3333YeDDjoI77zzTvKFUUBMQ1CRIqSCaklDwJ4HVS6Jki4rLciRtICaLMDqOwtpT2m/16XQCgpRhc4S9l1e4GkIyro9APU8mk4aAj1Jm37uBRVZkoHPF/rrMGUokSygUxZQE3jD9Kli0b1XTHrcVAUKUWQhep3aDkXFvsqUp1KQlVbiUGc1SB+GLGBgYDAioYtMoAtylexjFMPXlg63NHVlymEQD6gDiW1QshZloWLDxy13Lhssy5W3VhmyVUZJVv66OjuQg8lAD2oIYcbbcjaRqpyzur4hG1/TUBaQjT2UPKBTFqCGHL80BG5lATdZQCdNX0nDHmf6OypCOpUQ+oy4HHM6fU++D3VAiGsUPflCZvLL35e/QyNZaNsJriwgPmsqAdmkyhGAqcOv4wE0CJ80h9CnZ3WjIguw9losWqkaYKnDXQUuI6q/But/tbWOgZPJgyZPFsDwfXk7UJVz06ZNim/fDODbABZqz1dFPIVBFGl1P8h1+sknbpPItGnTcNlll5EjY8l73r5nzZqFhx56CBMnTnR9RskCl1xyCRoanM6SlIqJmiygJoS9+uqLAKjcuUN4eOqpp3DooYdi9erVw2XlZ8jtmyq3lZuGQM5VT3+DW1mAO16ZQTxrpNYwYPtRqiJDoVPXkB365SoLsD46NKSOlmTXp2tXRtZgYM6HqCnp5HaQdOSzOw1BOWQBpizg/pwqQHEitngv7sySOxNr3FJlA4HVXgCvXNXJr3OuueYaPPLII57nrFu3DvPmzQuVWiEuUNtF1va8caLa0hDQdhqF1JoWVEEMqihxrmTKjwUldsWNOJUFZHI6ez66NTEDn7/LrwM/u27yygLufVfQ+8oqQRRB5OxV62ydgo2ONBZmflWVJWnCpkhucX+e1TQEQPbITUmDrj9N8FP1wpAFDAwMRiRkYwONeGPwyo9JPzfwhklDMLIgpiHIphFWxYbnUtvxOImolJjzWl6EtGoTpTomRvtWfuNTzRAlV8tXFlDJ9erstGkpC1B2v5eyAP3dNIKZGgqpsZT1J506ASCmLWDflRU5spCGQI5w0UVP09+nyymcFOQ+TqNvVepHqjGOjk26PNMUNBo+SsSW/KwpYWvmzJmodVlzKCFAlHHfZ599gt0UfI2hIgvQ9pom4ZPOmyqEURZg8y57TS8NgbeygBg9z8Ac5FO05zM5ctXzCoIkZMjlcVulLAA46gI333wzpkyZAllZoK6uDvPnz8fixYux22674amnnsK3vvUtNDVNIOf14qCDDsLDDz+MhQsXeiorxGFoZdHeAK83GlnX10efwQAAG5wwMKr0yUcffYTvfve7AMSxW9W+ddH/OqiUBfr71Xsy1d4N4ONyfb3tmxKoGqByzFOIDnP3e/Y96qwI2ldovTHO1sCA5RmlSR3kOmWB8skCziv9Teyzjz/+GG+++SZWr14Nu8xwUbqOAcKPtzTdAvvtdKxjn1OSJo+mFetIryzQOfw6CjK22WabwGXVOYmSdmT09/fj17/+daBzV61ahT/84Q/JFkgBarvYUpQFqi0NQZadb3IkLaAez1WKKZUKTopTWUAmp3Pnt/d141UWcKsTVSoNASX+BUtDINqcKFgdyXL2tm3j5ZdfxplnnonnnnsFAPD228vxm9/8Bl1dXSUin0yA06ej8S8nP1e9jksSfsoCWUhDQG14WR1b0wBtYzQNgbFnVhcMWcDAwGBEQmdAoQsI1aIyCznEqg3yxB/VQGSQDVB2M3McZM0I65cbMI6Ngpw/LkjOOC/IBklAl4bAeXUk4p33ZnEdDSplgXIi/FVpCHTREHI7SUpZQIz6FDfPoiwkf8/bmPgd2s9Z2xMNQOK9VcoC1PHoXCcLaQhEiUhdlIZajrkyygJ0ox3E8S8fU61rikXR0ESj4cXosmC/WSZhcEONhQkTJuDwww+XvkEjrkWywKmnnhrongBfYzQq0sYnnd9aB780BEGUBVgbYH2HGcmTJmDS1DdsPFCRZA466CDpCI1yHSN8UldXh9mzZwMoX1lA5ygtB+40BHov/lFHHYXly5fj6KO/WTq2224z8dprr+HKK69E43BDnDRpEn72s5/hmmu4U+wvf1mKu+66C7NmzQLgbZCPOw2Byinx97/TnOCsMXYMv4qOyOeeew5vv/22MmKSwis1igqqSGwnDYG7vDpVFPb8qKR71kitYeBPFlBHgct1FqWvqCLeBwe9lQXofEWdeQAfl6OnIRDna9oeli//Gw488EDstttumD17Nvbcc0/st99+uPPOOzEUccCXx4KwygKU/MKVBVRpCJz/6+v1RGweYSxP8Oo+ms/nccwxxwQuK60ikSyQ7Bzz9NNPY/369dLRGgBHAPiU6/x77rkn0fKoQNur17pvYGAAb775JpYvX44PPvhAe15WIe+fcznu2MzSXlOVhkC3p8kCqDNQZZdgYONpWGdyEqDtPE5lgcFB915QhziVBVQEN0o2S6qeVWltwyrVqpSVGFTKb/39/TjjjDNw6KGH4r777kNfnzP5d3R8iO9///uYOXMmOjqc9G6yrYldw7Jswekepk+p1ltJq6D5KQtkIQ0BTcUYRbFvpEAkpWXj2RiEhyELGBgYjDjYtpuhqWIb8kWlWjaKRugY6GGUBUYWqAMpu8oC7ki3uKWKZUm4JNIQqDZWdINt0hCUB1pvcSsLMLKAk7tXdW46ygJeMpJyDkn5vawsQH8fa/fiZldvVJfTEMiG/qzIAgJU7UA8T6UskL+GhncAACAASURBVBZRyqtdUmMXdfzLoMd0ikm0rVJCVJSILVl6X5aA/NGPfoQJE2iUdZPy/YIFC7D77rsHuyn8lAX4+zSNEn6Sq0HIZtRpB3AjedJtkKoi6PoGAMyfP19Si6DPs00498gjj8T48eMBcOdwHGSBuJ6pvE5ds8bbJFJTU4Nx43Ys/b/11juUfp+MoSFOopg6dZzwmVf+3jies0gWsIdf+bG33voHOZs1Rha17FaOeOSRRyRlAfc9ddH/OlCywNixzkbMSUOgigpUpzhQOV6zRmoNA56GQP05Hc/pGKJLuQcEl7Zm9eaQBZxjAwOWy2kPqMkMyaUhEF8BYMmSB/Hqq68K57/55ps455xzMG/ePPRFkGGRx4Kwe1j2O/N5Xn/UEc8+V9WzTlmgsVFON6Duo0cffTQmTZoUuKxiGgJ+PGlHhtqpvgDAwwB+F/D8ZEHXswMDlmtdv2nTJlxyySXYY489MHv2bBxyyCHYa6+98LWvfQ2PPvpo2QoXaUFOQ0Bfs0kWoGkI0k2dEQYqUp0XWSALwUlxKguIKSLcJG0d2PwxOFi+KqQqHQBFUl1URawLq2igIksy0HXjwICjKHDWWWfhwQcfJGe1DL86c8XatWvx+OPO57o0BFRNzClD8D6lsmkkTa73S5uRheAEVrfUQU6PbymQlVa8UtwZZBeGLGBgYDDiQBdlsrHBS77ReV95pm+1QZ74DVmgukFZsTqDVqWhyqEbp7KAmnBUXuQFdcQy44eKLEAdcEa2qzyIygLOazkbFboRbm11JgjbtpTPJy1lAS9jj4rVbttiBDM1QtCxW5UvmN6rWBTHhb4+azglgnjvLBBe3CohapUJ+j9zbKa1sfUysugMULLhS5Wv3PmOmkglpjzhx4OON3K9ysSQqVOn4pFHHsH2228//A23ssAZZ5yBiy++ONgN4bQ7rizgnYagMsoCamukLkc1BZWpBvjvSzoNgaodqMo5efJkXHTRReSImiywzTbbYNGiRaX/WeRt1DQEuvZbDuQofj+yAABs2uQmR6lAVYSoxCvgNgTT9hK3soDK2drdzU4ogEcvs6hlN1lgw4YNwhioinrzSo2iQnc3f9/Wxkl3qsg6To4Sr8HWTrKDu1qhyrVM4ZeGQE65J5/nBVZvDQ2iQZeXiT4P9/OX0xCwuVOlphUEXr8J0Huenn76aZx33nmh7yeTGsKWm32/qcku9QUvZQEnDYF6fcHa+aRJW2HHHXckn7iVBaZPn47LLrssVFlFh6admgG/Thm2/Nnh1x1dn6jPTxbyPEvH448//hgHH3wwrrrqKqxbt04476WXXsKCBQuwaNGiqiAMiE4ccZ2eJals9jxoX4qSListqNIQqNaDPL0KP1Yp56af8zUMxGdjEYe0XxqCeNdAQCXSELiJEfR9kOAzL3IFraOhIQvLli3Dww8/LJ3FyAJdpSMDA5sBqMgCfM1P5/SspyHwI7dkIQ0BG0PLIWKMBNDfS1MyVPLZGISHIQsYGBiMOIjGMjGyhk5e6hxTcH1u4A15wRjVQGSQDVBWbBDp5EqAtjnZKQmUvyhXEY7KjbygxIDWVr0TiG6wsxjtUU1QKQuUE42iUhaQjzPIjouk+hDdPHspC7DfTduSoywQJg0BJQe4y9LXp4rirzzTvxqUBbz6eFBpS1VUsfwdOraJcon8eFBiBzU40Vea7uAzn/kMnn/+edxxxx2YOHFa6bvHHDMfL730Ei688ELk/UKPCERHrJ+yQODLloViUTQQqRBkLGdjBJt3mRMuaWlPVqa6Ov+8kqeeeiquueYajB49GmIqCYcs8KUvfQm///3vMXHixNIn8SoLRLqEC6xOWRtaty7nq/6ycSPvSF5R06LMvviZbOAcP553yDjGGuqrUuWxz+dZgeiP3TT8KqaSAICWlhZl2icKts8KOsbT+hk3zvn9jGzmXI9eG8prs/m1vp6TL6s5z7h/GgL+XpWGQPWsgz4PVm8y8cIvWpKByoQD5SsLyO2gvX0DOLHFe6645557sHr16sD3sm33WibseEvJAgzNzfxzRhYIoyxQW5vHH/7wB3zzm9/EqFGjQJUFJkyYgHPOOQcPPPAAWlpaEAa0TVBnRtJkzi9+8YuKo43SK8f06dMTLY8KMgGMjTGFQgHz5s3De++95/n9G2+8EbfffntSxYsNKqc2G8OztNdkz0NUFuCfZ01ZQJWGQDVesjFadCYnWTI92Jonl7N9FQD8YFliijdOJvb+HlWmKZfwF0eEf3n39d93+V1DRTCRSfvqccZNFgCcya23V2xjKjUxejwIVCkQk96r+JFbsqBkSInjURT7RgpkX0y56qwGlYEhCxgYGIw4qHN2uo1ZbOGkk1g07LdgkBdASS8WDZIFlVNmm7isRWyplQXiiz4Uc23FEyFNjYJjxnADuQxVHnGzuI4G2k7iSUPAnwNzJgPq/iE7npIjC7iJMwx0o8rKI5MLqKFAlYZAt9lVtd2+PqvUVmUZzspu3tVObS9lAfZ801MW0H8WVP2I/h/EWEaJYVGMGm4VCfUYXFNTg0MPPRSf+9wXSsdOOmkhpk3j5IGgoAZ9P7JAWpEcKqOZDL/oZ9t2p3VgTrik1Zq4cctbWYDhxBNPxIoVK/CDH/ykdKypaQqefPJJPProo5g8ebJwfrnKAnE/02KR/75tt+UNde1ab7MIVRbwWuey52VZbol22XC+1VZxKwtQdRjnlfb/8eOnDr+jnbx9+FVMJQEAs2fPlsiZ7nuy6wdXFmDjsU1IWWoZXhXRm50POISarCpghQGLTNSlIdAppnhJ9odVFnDWA3zeU+V/VpVPVhZg/TzquMXWEOzZ33///XCUMAAnzz3D5wHIzvYiFi9eHPheAwO87plaVHSyAD9GHZyM4EaVBXQp3qjCxJgxY3DRRRfh9ddfx7x5hw+f0Yzly1/F+eefj8ZGt5PdD7QvpykNvOuuuyoIA6z8OQCi5+fkk09OtkAKyM+djTHPPPMMVqxYEega11xzDYay5HFXoFrSELDxnM6hlVKOCgI1CcN9HhtDRXtjZeYuNh7I65So4ERs915QhziVBVRrEDpnpZuGIJxSrZz6kkIm7b/wwguKK+jJArZtCWO8ys7Erh0UdC5hwRNJpyz1Uxbg9obKrQVpcEIlyOtZgTwelqvOalAZGLKAgYHBiIMsfQOoo1MqxUAdaZCNyiYNQXWDL3Tt0iYuaxFbKnYx3WCVuxhVbfrLjZCm0UujR+ujlqkDjrL0DcJDTEPg1GWxaEV+hnSso8oCKsea7IhOinBD24bMtFepAsjkAr80BPQa9DepDOq9vZbCgSzevxKQ5fJ1BvJKKgt4kZCCrlF0aQh0DiQx5Qk/HvRZycYtvzGYRppGVSASo7a90xCkNW6qctXK8IvYF0k8zrle6WriBG0H7N5+c2hTUxP22+9rpf+LxVbsscceynPLVRagRMA4DE10Lp42jXeIjz/2NotQZQGv9svG0aYmt3NVNgRPmBCvsoBKXYSOGf+fvS+Pk6K6vj81MzAL+77JImKCoIhBEnCJaIQgQhARESNuiUoIGPMRo0ZQ4xKJEdcQwa8KGllE44ILP3EBFbegIgE3kM0IKMgMMAMDzPTU74/q1+++V/dVVXdXT/eMdf6p7qrqqupaXr1377nntGlzWPwTjeryZIEjjzwSJ598MitbTWGyCjCBkkekKoCVGLtx7Z3+zqaJJGnxEWz/uQiRxDCTBeRnej10+WO1rQ92P4nzVlhoK2QhjrzBJTJ0soDIYaeqLKDvd/369ZBkAXEAfwHwKYB7Xb9ft25d4H3RPk/LlvJeTGb8zykLUBsxsVzes2brDC4u0ahRIxx77BGJ71VVmpRDEpAEQccyobaUBQDgxhtvRAOFbVTEfh43bhyOPvrojB+PDr1NF9dm3rx5zNqNAPzENXfr1q1Yvnx56McWJrxtCLJwQAaI9zQl3uSyDQHXD+TaS/FsW1ZyyeRMQLT9flYBQSHup0OH/K25BOj7o64qC3C2tvRdHuS58iIL6MT/g66gXEMAom3dT+bLRo32L1UFy9T619kYL/spC4j/kl0lQ0mSyWUllExDz8XkQuFIhOQRkQUiRIhQ7+Dl2Uk7ilwlRy7IgtU16C/+VANEEXIDtMowV71gdd9NILWKKhO8CEepBijoIEqQBbiEA/WTpyz9qD1KHpwNgTM/te2ZbAi4JIU+ls+2soDYv64sYLIh8FMW4O5dakOg/z6bA0T9mMw2BG5lgdpKQIn9NG7sjmYFDXyJPg1gVkyi3pnUhiCVJLteCe9XRUETM6kmwFVlAffybFRy0CCQyYbAr2KfC4IJOe9Mk/U465sg73x6DQ8csFhrEoAmh1M7vjDf7YDazlFlAT+yAFUW8CLFSnKEe5neRlOyQBj9LE5dhJ6/qirxgNCHXNgQSLJAw4YNMWPGDFiWpTxH3soCwY6fkkdEReOBA6bktCD5qdug0vm5qoCVDDgZYwpVtcXdhusKWHSZH8Rz3LChShYKakOgV6WKvla6NgTiP1uWBUDchOLmGBifDnD93jIxLhjQNqxFixoyP/AmsD+em9HJa7odA1VwMBFcODUHQO1vVlSkfp/Ld76Y1h4heeDAgZg7dy5KEi8CqozgfB4zZgzuuuuuzB8MA5OyAG8/8DKAjwBc4FriZ1eQbXjbEOROGyquh3iOgNxOvvFxAzO5Lux+TSqQ1lfhbE9sp7o6NRuCdPu6YnyTPRsCOY9e32A2BCrxj0In/uvqXWpbSskC8kVG32mS1J/6mIlTFsj0WCW4skBmj8MLtOCKPv+5Rm7KNHSF1tokJkYIDxFZIEKECPUOXpU1tDPv7zEVvdCCgHqeAW5vrAh1C9J7uW4pC4QpVcy1IaKjm+q2g9oQqMoC/DFFCAY6sKRVrakGmXJRWUBP/lOoPvTu43I8yuU69DmXihrubQD8vbt/v2VMIGd38K7KYZpsCLhKierq5KoMU0EsJoNcgkhEEbSPonsEcp9VZQGxXA/CBjtuGhShU2c/nPKE/JwqWYAmoGgQWSDbNgSmKqpklAXEurWtLOAQBIOTe3TCEE2mU6SrLBD2e5Cez27d5MP97bfmsEhNTXCygDgvHDnCS1kgmQSlCRxZmrYZYh8tWzZB06ZN43OFskBzAHlo06YNFi5ciIEDnYSsKl3OtU/ufXuBKguIqsKDB6lXPW27nKneBov3aVFR7vZTkwGXbKBQCR/ys06Eo++K4DYEzlRXFhDvF1MCRMCtLGAmwwaBThrp1asX3MoCgonTGDqOOuqowPvaT/IqLVpQ64Dgba6pfZPnwVkurhtVFojFVKUr7pwDqu1VeXnq7wPxLItnTAbwU95kUhgyZAhWrlyJ6667DiUlrcj8s7B48WLMnDkTDcPKXCYJ/ZqLNiafNXM/TptK8OvnDuqKDYG4HkVEgCKXPcA5Up2XskAuKJnK4oRwlQWqqizo9m8mqDYEdU9ZwLbl+M1E0k7GhoDrY+n3/dixY7U1KFmAvngpWYAqC8hro6p1BD//2VYW4Kwzsq1kaNteygJZOaSsQSUL5IbqQ4TkEZEFIkSIUO/gxZqmLylONipZj6kIsvPWtKlz7mzbqtNBux86aAJJBAFzjQnKJWdSCZKawLUh6VZIB7UhEAMw6vEF5F5gpC6gtpQFuPZOrxjL1PVT/aTVIIOa6BfVbepyeo/RYIK472kgJxkbAre8afbaEFpBT6f6s0z/Hw3816YPo3iPUqRiQ2Dymaa/EUEN3YYgaHtPvRn1Y/NTFkjdhkB+5mwIwpasDwIamDLlOWQSjl9OyURiGyIYlmlrJ46gFuSe1yuH9+xxhxViMV6mOxmk6qlqAr33WrWqSah5eJEF9uyxFHKOF4GD2hDo0APnbdtmTllAVjC6g/FNmxZj9erVmDFjBnr16phYftddD2PVqlU4+eSTE/Pou4tXFkguCEg93lUbAvW4nW0jvm2+6lf1f8+tfmoyMFWUC5gIM+K8pFOtKu4JWvFeVSVJ3ypZzf0MF2mq+LSiPhXiuG5HMXr0aEiygDgRgiTQRPltQUEBxo0bF3hfqg0BJe4kTxbQ2zfx/It9cOfZmS9/Y1KYoIpD6SgL0IpSZ1r7Y7y2bdvi6quvRp8+P0vMu/HGOzBw4MCkVCHChklZgLdEEMk5dyOfDQuFZFCXbQhyWVmAjz261+MUf7JVYCP6eWHxc6hqmz7uMoEmfdN9h0s7H7pP+XnZsuUYOHAgDj/8cHTv3h0jRozAokWLGFn/4ODUnPTPVNHNBC4mLUCvz6FDwHnnnYfmzZuTNfzJAjTeRPv8lkWVRXwPMwH6zqgtsoCfskC2E9J0v3rBT661V5mGrrSSi4S0CP6IyAIRIkSod+CkeLmBkKxikfOS9ZiKIAOJtCIy08HtCJmD6l/szDt4MLdk8Dmf9jDlpzk5QVmNnNo2ORuCAwfc51UMKByJeP6YIgQDvVY0cZPqNeRk6vX5pnm1oSygM+3pYNqkLEDvMXqPimC1ySOUC6YfOGC5Esiy0sTvn6hYu3Yt/u///g/3338/Fi1ahPLy8uQ2QEAJUPTYTMoCeXl2wnfZmV971RKUhCKgVnaaCY1colD/Pe3XqEni5Mk0lGwAJGdDkGofIRllgdoiWCWnLMD/b1UhRFcWCOEgPSBtCKiygP/10dsATlmAXudUlQXCJoDQdq6w0EaHDs6D42VDUFam/jevRChNhuvQA5yULBAGyZYb/6jKAqJ/YaNx48a48MIL8cc/XpxYfsopI1GovUj8bDZM1f8mCGUB1YbAnSSm29bHY+IaFhWp26jrMCkLcEFnnhgi5wVVx+OVBdwV/qbj05UFxHMei1kptcG6WkKzZs1QXCyyJd7KApdccgnat28feF+qDQElTgY/XjNZQJAmnO8yMWcbE2QmhYmwlQUkWcCZZiOAT89xLjy7+jGINuaiiy7S1iyAJK2ojXzPnj3xs5/9DLkMr6R2LiW0OBuCXCbQc4oNHFlAJLLVfnl2znv4ygLO1FEWcD77CW2YiFOpwE9ZYM6cuVi5ciUqKipQXl6O999/H7///e8xePBgbNu2La19OvsyqcB5b8O25T3AKTHoJJkWLVpgzpw5BksXSRb4+c9/mvhM2zdd9YFaXgYFff4kWSCzxBcu9keRbRsCUzW9vuyHAN2GwBR3iZDb8BGGiRAhQoS6B06Gkws4yaoJOS8XZMHqEmIxGZCiSY5My+ZGyBwoG5wGASsqDuKVV17A8uXLsX//frRp0wZnn302fvrTn9Z6NQgni5tKkNQEr8oL23ZkyU1BXRM4GwLAGcA1JvFOMRgqKLDZZG+E4DArC1ig1QZBIQIZ+rMRRFkgUwPFoMoCIgjgVhaQ32kwgbch8K4Md5QF1CBEsmzyjz/+GFOnTsXKlSuV+VOmTMH48ePx5z//GUV6KaMP9CCMyadX/L/CQjWAlWllAXocfsoCJpUA/bvq+82vY7YhCNZ+0rbKmcplzjlX/wtNHKfaR6Db4CrV6f/Ihg0Bl0yl8033EhcEE0HyTPenKOkjGWUBnfCxZ4/7OPftk59TJwvIz2H0y+n5LC4GOnSowfr13soCZWXuZQcOQCEVCXgpC7htCMKT4AV0dRF3UkK+w+S85s3lMXDXUNyblmWz/R4xT78233zzDZ555hls3boVxcXFGDBgAE4//XQluUpVAfjktM1um6vSrg/KAmYbAnfQmbOdoeeOvnO///57zJs3D88//zx27dqFxo0b47TTTsPFF1+MQ4d+AkDI48tKc9Gu03dOELIAfSYqKy3lXRoEnB1FkybF8T6H+INuZYFRo0bhlltuSWpftA1r0aKGne8HE1lAtyEIoizAxSUAdXwdhrKAOLeyva/9Z4e2w7kQMzDZEBx//PEYMmQIli5dGl9CG/1Gym/+/Oc/Z1UdIQh4G4L0lPPCRiwm++O0u2+yRcsF8DYE5v58puONe/bswYYNG2DbNrp27YrWrVu71hHnMDxlATm20snEJmRCWYCe2927SwEIyxP+Bfv5559jzJgxeOWVV9C4sdvaxguqbSX9HFzt0jR2E6Bje9E3P+mkk/DCCy/gtttuw7Jle8nalejYsSMmTJiAY475Hd56y5lL+5diG2K7zvNvJfX8c8oCNTXONvyueaqg9wevLOBMs0V60tvWXFZCyTR0Ulq2VR8ipIaILBAhQoR6B85vnJOy5IIzYQcl6ztM8slUKjhC3YIpgXT88SeitHSLsu6jjz6Kvn37Yvbs2ejevXutHSPn056K/KoJOjvYmaqJe84vzQsiEVtQYCtJk4MHLYUsIJn+2amSrU+g90k4NgSyKtMvwJENZQE94ENZ7WI9VVnAbEMg7nsTYYW3IeB87J3vQUg2b7/9Ns4//3wcYMrMKioq8OCDD2LNmjVYsGBBUoQB/ZhM1XSUDKLKPqZGLgkKek2aNXN3PEyERr2do/0bUzWoI4epVo/rdhRBA0a6ioRXBXhNTThkAT9lgWzbEPiRBczKAu4gmLjFM51IoaQPcd8HCWy5yQLuh1tUkQO5Y0NAm5fPPvsIGzYAwGl4990tGDRoFM477zyMGzcOzZo1S6ynKws427HYezAZG4I2baiyQLhkAa7aXOyDtuuULLB7dx6k5LsDXbpch1QWcLa9Z88eTJkyBYsXL0YNGUjNnDkTnTp1QoMGnwBojUaN7MQ9XlVluRKZ6rbVfYq2mlbDV1WlRuTMBYhzZ8ozqiQodQpQaWt3guKFF17ApEmTsF8bmK1btw6zZ89G27ZfAzgMDRtSUpNM8pvGyAJ6X5g+5/v3W4rqXBBwpBHxeciQYaiufhFvvCE6zQU44YTT8NvfXoAzzzwTeUlefHpKWrZMjfBuUhLRyQJUWYD2Lyh5NdPKAvqzLJVkUt5kysg1soDJhsCyLMyePRsXXXQR3nrrLahkAeei5+Xl4c4778QZZ5xROwebBuqCDQElI9c3GwKdDFdTY4V63tevX4/77rsPzz33XEJePz8/H2eccQauvPJKHHfccYl1w1YWoGMrfdxlgh/xPhlwdj6PPTYXwO3xb+Z7Zt26dXjiiScwYcKElPYJpF58pldh6zDd93369MGiRYvwzDM7ccUVzrzbb5+KSy89CgUFBfjoI76N1d8DqUjE09iDastohXY/ufepxi90ZDshrRKG7JTG1fUF9J6nNgRRLLNuoQ4OpyJEiBDBG3yH3d2B4IIzalA9U0dYf0A7rTTJEdkQ1E3U1MjngkoSA0BpaQX7m08++QTDhw/Hli1b2OVhw7ZtfPvtLvLdGbGEmSTiAu7qYC35bYogfWGhmmjWA1Ri27pEfGRDkDxMygKpBpnE4LioyFs60bbd5IBMDZB0WwEKOpgW95Xu+Ufva5qsEs+T6b7nyQKWS95QJ9mYUF5ejksvvZQlClCsWLECd955p+c6OvSkNk0uUYjvXpV/mYCJdCdgSvzrASiOKOn8nq9wocG8VCq2krEh0C9rqrLDlCzQqJF7eZh2NEGRjA2BqWKfsxMRQdQDBzIt7ekmjQRTFlC/czYE6vVK7U/k5ckq+TCuKW27pk69Glu3fgAAqKnpgE8//RTTpk3DT3/6U3zwwQeJ9ThlAVM/VyQguftTD6K2aFGTeD7DsSGQn3kbAnEcch7tu3PXUG/TdUgyttOOn3XWWXjuuecUooDA1q1bsXnz9wBUZQFA3itcwF1vt0R/qLZVYDIF6bXML+cIM37EkFgMeP311/Hb3/7WRRSQ+7Xx3Xe7AajKAoC87qYECODcz3pCjBJoUiGOi2vLkQU6deqCBQueBK3ofuSRRRgxYkTSRAFAbQtatqxh5/tBEKLMNgSCLMDfs/S555JdQHjKAvqznE1pYNoHyHQfKwj095lqO9YYTz75JGbNmoVjjx2QmJ+X1xjjx4/HG2+8wdgV5Cbqgg0Bff4oWaA+2BBw7WlYxUkrVqzA4MGD8eSTTyaIAgAQi8Xw4osvYtiwYXj22WcT88NWFqBKJfq4ywSVLJDe/ae3n1VVVXj66UVkDXHy+f3MmTMHdpKd7SD2b37Xl3uXU3DKAhTNm3dMfB44sC8K4iednttM2hCoZIHAm0ga1CrQi4iTrcQ8PSeODQG/7IcAvT2UhLTceMdECIaILBAhQoR6B86zk6tOEZ0zs8dU9ELzg4lZGpEF6ib0ioNYjEb6zKPJnTt34vrrr8/cgQGoqanBvHnzcOqpp2LmzIfic6tw3HF9cccdd+DQIRnpSZdVTDuzelANSC2gIgZQRUVq8EMPUMkqz9wOjNQF0IElPefhKAvQwTtP+FCPJfPKAnrlJ2ch4FYWkOvQYIJ4Z27duikx78MP16CiwiENcTYEBw7IChkpbyiXew3gFy1ahN27d5tXIHj88ceNyQ8OujWC9I9X16PSjJTQk+lAuinoIiASpQCnEiBhqnDhrAtsWz0v6dgQ6JLGgDsgoPcJUu0j0N9xVd1hV6EHQTLKArGYxQYOOWUB8f9qalLz/g4KsW2qqFFdbfkSFILZEKSvLACEW/motl2VALbGPzeGkDUvLS3Feeedhy+++AIAryzAtYHOfLOygB7gbNZMtjVhKAvQcYuUO3a/q5KxIZBVaPz1o1YBd9xxB9auXetzlE6i17L2+5IFpIWcPC4ajNbJl3XVikBWlPPnmCPdcf1U1YbAxg033MCSNlQUxY/hgNJ+ivuRs4UQ0C0IALeyQLLwUhaIxdwEBNrGJAvahtHnIGj3wrZlO+C2IRDbcvYh7luv/qN4fnXeQ1GRvAfCsCEQYwtp4ZHyJlMGTQjnQszApCwgUFBQgNGjR+PBB+cm5vXpMwB33303evfuXQtHGA7qgg2BahVkUhaozSPyR1BlAe79FgZZ4JtvvsH48eOxj3o/uY6xGhMnTsTq1asByLYnWasYE6hSiT7uMv9Gfk63HdLbz82bN6O0dCdZIw9OP+8LAB8CUDvsGzduDDwO1fdJC4tSDQAAIABJREFU96t/9utLc+9yCr/xmW6tJT/zRAxalALId0sy4wyVTBUe4cMLfuSWbCuk0Ouoq4PmChGrtqCrZZjsHyPkNiKyQIQIEeodvKotVGUBdRmgBuVzRY4tl6HKJ0dkgboOtUIS+Oijd8lSb9391157DZs3b87IccViMUyePBlXXXUVPv30U0jiwiHs3LkTd999N6ZNu56sn979x0nCpSsnJgZzhYW2cQAHqFWeuezPWBdApfbouUw1IKFWhpm3xzHra0dZQF3GkU10ZQGTDcGmTetx7rnnYtCgExLzFix4Cn369MFNN92Eigr3Q+AoC4h9i33I5V7P5TPPPMPM7QfgDxBSrwJ79uzBG2+8YdyWDpM1gkn9wZFjrj1lAXoNOWWBoFZJpuoUzqLFSy4xyL1q2/J6cv6sev8pLLKASOLoyisC2ZB9pM+Un7IAwJ9fzk6EOm1kSqbZttUqI7/jpNCvoSNhryIMZQGATxqnilWrPiffDgDYRr53SnyqqKjA9OnTAfDKAqZEqLcNgTwHhYWODL9IHIaRsOPaANp+cDYEtM3hrqGf97DYz8GD1ViwYEGAo3TIAps2rVHucXE+ueo8+r9ou+2QBWqvrc4UTBXlAioRS50Csu2l527t2s+xwfHY8IHTt9+8+Us2CG8i1ANqGyVA+7eptPOSLEDVccQyy0UOCIsskIqyQGWlJO25yQJ2Yh0gWP/RZENgWZJIGAZZIB356bCQ6zYEJuIRJYnVxVhHXbAhoNeCksHUfmpunXt67rg+sQCvLJD+f3nkkUcSZG4vVFdXY+bMmQAoUTTt3QNQlUqC2hCoKivpnQeRlBfntaqqCqqFXB6AkwD8CM748ieubRxKsiOmkrT5d6Vfv5XeO9z58lMWoER/WhhBnx3aNzIpCyTz/Kskd2qnFXwbycLPNkPaEGSnbdBV5n7INgT6WCTbqg8RUkNEFogQIUK9A5fokwEn2YHQO5X657BkweozaMcoIgvUfeis2DVrPiRLxahjOID5AA5XfmvbNpYuXZqR47rnnnuwaBGVkhMjW3kDfv31xsTndAMeXIVAunJi0obAOwlEqzwjG4L0QAeWYXhd0sowrwAHF8SqHWUBdQDtpyxQWKiuQ//H2LGjsWzZMtBnDGiA8vJy/POf/8TDD89PzBXv2cpKdzVJUHuQHTt2MHOfBXAvgEtdS7777jvzxjRIL2xnalYWkPdLbVar+tkQqH0UuVzvo3CqSvrvxW/UflLyygI62QDwVpHQE6up2hDIRKwpWGQ+hkyBvg/8lAWc9b3bB3E+vRRowgJ9V1LPciB5soCfskB6ZIHwKh/feOM98o0qCwCULAAA/+///T9s376dVRYwJbi8yQLys3jWRbI7jIoscT0ty04knmlbIO4jep3z82Wwl7chEMduUhZwptu3f8ckK5oDuAvAmWSe4ze/ceMaJdEv7hU1Sex8ppV59DwVFoYrY5wtmJLEAn42BJyKxOefr2e29AsAmwFMIvOcl92OHf9jg/Amqz6Ar0jNjLKAnVimbzOd5Dl9D1FlgaDJa3osZrKAs454z+v9R1VZwJlyChOiejNMGwLRDtS2Iodt5xZZIBZztx2mpBc91lTu72zDSy4/V6pfTcnPXCbQ034dZwsjoCaUpSpPOqipqTEQ9ToD+LFr7osvvojdu3cTZYH09i9Ax1Y6cdwEdayV3v5lXNf50LFjR+Tl0XvaAtCUfG+t/L6kpAQtW7ZMap/ce1j/7Hd9ab+W6wP4KWrQvrhKFuDjsrpalLhPkyHg5KKyQLYT0nrsMJfbq0xDf8+Ic2HbvLpehNxERBaIECFCvYOXsgB9kXPBGa+qvQhuqEkOecIyFdiOkFmofls2Kiv3kKViRHcvgHEAfuf6fXl5eejHtH//fsyePVubK5UFJOTDne5AgZOEo0HUVBL30obA1gZwdL8y4Uf9o4Ef3kAjDNCBZRjnUtoQqINVfXtcwCMbygL5+TJoYlYWkN9pcLSigkoxioOXO/j66x3xfdqJIHllpeUKQgQl2ZS4Mmut4AS6QKZe65shnle3T6+6nvjukCi8KznCRDLKAjRxo5OiTMoCnL2SLp1P1w9yr+rejABf/Sqg9wmSTQ5s27YN06dPx/z5iwEA+/btxKxZs1ySodkgWAWxIVC9wN3L6TwRPKVBv0wF4PRKGFVZwHufOuGDIwuoygKpHaNzbM40jCDgxo1USUAnC3RU1o3FYli1apXBhoA/P0L9wp8s4PSZpQ2Bz4EHADeu4axL9KSwSJR62xDw+xTbP3CAazguBHA1gHlwAvUNIN4jBw/uYgkxJvl5AXqenMQrv6wuwkQW4Eh3XHtP769DhzjW7OUAuoIjC9j2AYOygHs/iV8ygmP0vk9NWcCtMEHvgzCVBaSaha28e4OS2bzIAoIcJfpF4t2r9x9p0oUrYhAQCZny8tT/r24TRWXDaxP6c5oqeTAscPs3vXPp/LpYGKETRYHctiEwkQVyjUAvzl1enp14fv1sCDjlnFSwe/du7Nq1S5vbFMBnANbCqaSXqKqqwtdff61Yr4UBOrbSx10mhKksoCv0NG/eHIMH/4KsIWwIBFopvx8zZgwaJCmzYLJ/8yJ261CVBdzL1fGoN3GVPi+0MIWeW7cCYPIS8XRdSgTOrrKAM80eWUCNHf6QC37ENbAspz3krLQi5D58mu8IESJEqHvgquvEQIh22DjZx0hZIDmYkhx1cQAdwV0h2aQJjRyKqKBI3LnZ182aNQv9mJYsWcJ4yLmVBQA52kp34K0yxd3yrunaELiTQO6BmrsaPvl9/tARtrKACKwUFXkrC3CD+UwNjryUBZx5zuBd3D86uYCSKNT/QW+4KjjPHA2iOFEIx1YDKC9XbQhkFb/8hTNY5gf5J510Ej777DMypzv5rGYZLcvCiSeeyG6Hgy6HKY5Jvw+oRLfJUzgTMJHuBIJWq9Dv1FKJI0HqSWLLcqbV1VagtkZXoXH2QxNa6jnTK/CS6SPMmjULN998M2KxGIBH4se/G9OmTcP06dPxz3/+E8OGDXMdQ20FJPRzyUFN4rmX88oCcnmmKi91okMyCjr6NeUk7Gkiz6QGEQRhyiRXV9N27AAcwoBAG9f6Bw8eTNgQtG5dg++/dz5z97Bty/PiZ0Mg1LjCVBbg7NW4hIUeD2/WzMb//sdfQ70aWYdokwoKuCC7IF80i3+WfsrFxTVKslkQGfySKbqyAH3ma7tCOiz4KQuo71HxG+9K1mbNuArJw+JTmiQpjK9fyPYhTMQzQE1MCKg2BMCaNWvwwgsvoKysDE2aNMHgwYMxYMAAWAbPBa97mCMLpFNpL57hoiI7JfsEL5sVsb39+y2G4MInV7zugzBsCMSzrJNLalvSXX+fZVtZgNt/EBuCuqks4ExFv8/57Exz0YaAerDncsJJEnHkPD+ygFiebrwxn9sRjoRMjJ8KYJ3rN+ErCzjTqipqSefd7wtTxY1rP6+44jK88or4lgegCfmFVBZo2LAhLr/8cs/t27aNlStX4vnnn8euXbvQpEkT/OQnwwCMAeCv6GYCHU/59de4+970vKixJroNWZQCpPb803dGrikLZCsxr1u8/JALfsS9xKmzVlfzRNMIuYeILBAhQoR6By/PTrpMdCb8KnAimEE7PxFZoO5DTQDZOPHE47F6tZhTCIepLnrpxcpv8/LyMHTo0NCPaePGjcxccQy09y176ekOFDgbgnQT99SGgA7m6CBPJ2tw0rMRgsPkQR+GsoBXgIMmA4uKbBw4YGUsGKsmGd3LCwpsHDxoJdajAQNdWUCtrqJRA7eygHj+LasSxcVOVnP/fotUrjprBbUhuOSSS/DQQw+ROUeQz2rW7fTTT0eXLl3MGyPQPdmdKV9FQf07a7NalT7bnLKAKfGnB6BMygKUOMDZENA2zpEP9b9XuQS5lwWA3icImhx45JFHMG3aNDJHEEec8u19+/bh0ksvxYIFC3DqqadmhWAVRFnAUelxgpTbt3+Pdu3UiiZ6PsW9Vxs2BLStKiiwNcUUM7nHOSb1GvrZEKRDFuCsxFJF06bt4m1dDLJtOwSnfSt2rd+5c+eEskCHDpIsIBQEKA4elGMHTkmBPpfiWRfnPBwbAndVNidp7lYWcBoG7hr6Bf1FG9+yZVsUFhbioNJg0iq+7gBkf65Pn+4KKUtuz/2ZXne6+cJCW1k/0yowmQJHXqdQyarOSmp77ya1Hnfc8Xj22QZx32YBQRZoAUfpwYYg/vXt2zOAsoB6vbjrR5/z6dP/gU2bblCWP/DAA+jVqxfuvfdeHHfcca7fSxsCN+EtFrNcCdp0lAXEe6ikxOnTWZYN27ZSIgvo5CDRzz940NI82M02R173gSAjpKMsQG3O6LS2Exl6JX8ukgWC2BBUVjp9TNNzm4vQrcKA3LMhoP0dk7JArhHo+fPqrRQmPqdLFmjatCm6du2KLVu2kLn03dtbWb9x48Y4/PDDXe1BuqA2BJKU4v2b/HxJVE5XYUQos9DnsX//48kaFjiyQEFBAf7xj3/gRz9SFRgovvrqK0yYMAGrZVAMADB37lIIskCqNgTcu5zCz8ZMnLcGDdT+UEGB0/+rqbHYWJOuAJicDYHYh63EtDJJFvBXFsiuQoo6Ls6OLV6uQFcWcRfshNPmRMgsIhuCCBEi1DuoEmtqAIUGnGT1AvUPg2t5BDMiZYH6BV1a+pe/HESWNoRadUfKHgGcccYZOOywwxA28thSKzEyodF6s7LArl27MGvWLFxzzTX405/+hLlz53paJnA2BDRQnkpAJYgNAX2enETuD5eVHAZokjgM7zjqOSsG4YA7qMh5+WUqiSG2m59ve1YkmJUF5LrqIJ8+ROLg3WSBvLyDiQo6GsTmEshe571Hjx6YPHkymcOTBZo1a4a//OUv5g1poO9xfdCqB0ZklY2tycbXnrJAo0a2K7lHk/1ehEYTWYB+FutwCW4TiYIDRzbwUl9xkwX897Fnzx7ccsst2lxxL8gK5Vgshuuuuw41NTVZkX30UhZYvXo1Lr74Ylx//dWJeUOGDMeFF16Ijz76KDGPPnvi3qNB8kwlU9wEteDvHP2YOL97kUwrKrJ9g8ZeCDMI2KvXT+Kf6E0o+hJqxq9Hjx7o169fouK+Y0f5kHHXhN7nnLIAfQ8JZQFxncN4R3Ce534euPRY0rEhaNCgIUaOHKktpYH5w0FVYoYMOVFRzxDgiA42eax0ZYEwZYyzBdGWm5KOeXnyXIjrwcmJ0+veqFFTjBkzhm4FQAfxCzjXRl7UH/2oGxuEN9ngAHx1GK3Q37TpW/b/fPbZZzjrrLPw4YcfupZJOW85T4zTw7YhEP3v4mKnylrcj0HbWy8bAnoeaNvo2BCYlAXcRQwCYSgL6M+y7AulvMmUoJ/fbNuHcP0RU5UzPXbbtrJ+7MlCV9qin3MloRXEhqC21TD8IFXVeFUvAZ4skN5/sSwLF154oTaXvntVssC5556LkpKS0JUFRB/v0CErMcYIQkQQ+8+EsgD93L17D6gkitYYNGgQnn32WYwaNcq43Q0bNmD48OEuokB8D4lPn366ht2vXzyZe5dT+BU7UIUcCtM7TSfQU5JHUIhtOMUTtWNDEFRZIFvtmK64F4aiZV2FuAYyDxOscCRCbiEiC0SIEKHegQuYc76XXKeSBuVzRY4tl6FX0IoASKaq4CJkFvSeb9AAaN6cVtkVQiULyGWdOnXCHXfckZFj6tOnDzNXDPYqyDw3WaCqqgrTpk3Dsccei2nTpmHu3LmYM2cOrrnmGhxzzDGYMWMGbNs9kOUIR8nIM3OQNgTmJJCeuMkFf8by8nI88sgjGDx4MH70ox+hd+/euPDCC/H666+jJscZVXJgmZwXtwlSHULIRzvzvZQFRDVYpgJbdMDOQU+M67YFQn4eoPeiPpITzxkNPhXH9xtL3M8qWUCdAv738NSpU3HllVfG5YmpDYGTdevUqRP+/e9/48gjj/TcDgX3LJsCIyZlgUxXq+oEDj2BZgp86X0UTpZa/43JhgBwE0u8wJMN6LGp11onCwQhFC5cuBD7XeXbqrKAwMaNG/HWW29lJSBB90PvmyVLlmDYsGF46aWXUFMjsxG2nY8lS5Zg+PDheO655wDwygImBZowoV9Ht7KAGXo/j1cWcKbpqAoA4cokH3HE0fFP9A/wZIGJEyfCsiyUljr/rWNH+c7j7mE/soBqQ+BsS5zzMK6xOD9ePvOAO/HfvLlzXKnYENDx1Y033ojOnTuTpTpZQAbqu3VrY1AW4CrK5XJdWcDky1uX4GdDALj9eL3GumK922+/Hf369YvPaQvVSqgFKOm3qMgyKAuYk1+cDYFzPcRzwshrxLF//35MmDAhbi8jwXld0/tAVxYIy4aAToNWuNLXk97G0e979sgL65AR5Xq0nfW6DwTxtLw89fCtaO+lTVRm+6cm6G1dtgsMODsBs7KA+j3bx54suIrvumJDYFny/ZBrBHpddhtIhiyQ/v4vuugij3evJAs0b94cv//97wG4K8zThYgBUmUB1iFBg+gHpDvW8rOXnThxMsaOvSzxfdCgc/DUU09hwIABntudMmUKdu3aZVgq/+DcuY+gMt4xVlXgvNsIrkCFwl9ZwJlX7BbGIjZXcp4kjakFdcmMmcS10m37akdZgF8uzp1tW1kp+NPjDT/kgh/9PZPLqjARzIjIAhEiRKh34H0c7fgyuZ7IEaYqGxVBDTQ3bKh6NEaoe6CDkIICdQDQqlUnOMFGASfIeNJJJ+Gll15Chw4dkAmcdtpp2gAYkAHnfWSeakMQi8Vw+eWXY9asWZosbvyX+/Zh+vTpuO6661yEARow4ZOeyf8PcQjC413ON5MFkvFn3LJlC2bNmoXp06fjwQcfxIYNG5I/SA2ffPIJBgwYgOuuuw6ffPIJysrKsGPHDixZsgTnnXcexo4di4qKCt/tVFdX46WXXsLkyZNx0UUX4Q9/+AOWLl3qChKHDTqwTJfs4WzPmYpArwiM6LcXfY4EWSDTygKmYI+YL9bTE9OAPDcyCKpflz3xaTMyz7mJW7QoStzPlCygV6sD/gPEvLw8TJs2DStXrkTHjj9PzG/Z8jDMnz8fH374IY499ljvjWjgKuCl5KK6rrhfCgt1T+HMvs/U5952JR1MhEa9j0K/mxI8XjYEyUhRcmQDr0S9nlgOkhh99913mbki+bTPteSdd94J5TlPFqoijDNdv349LrvsMhxKPPj0YJwHr7q6GhMnTsTatWs1OxFBRsp8tY5+7yUT3NKTJPv25bl+I/qCup93sghXJtnpu1iWt7LAJZdcggsuuADV1cDevc5D2KGDH1lAfubIApwNQViBcoD3e+eVBYLbEEgvZv4aisB8LGahXbt2WLx4MY4/Xkj/qjYEhYXSfqNRI7Wd5Y6Xs5Cjz4qX/3tdgkxymJ8TSRaw4r/hxrp0mxYaN26Mf//735g4cSIaNeqpba8thg8/J/FdJ1UKmMbIAK8ssHbtGpjINzq2bNmCl19+WZnH3cNUHTBcZQGRZFHJAkETwF42K1RZQNiYAJwahvwNpwwiEK6ygEoQrO1Ehv6c5qYNgb+yAFD34h3eNgRZOCAGlJChE5IkqTW3zruspJfz9MSvZdlaIlsqpqSLZs2a4amnniIWbfTd2w5AK7Rs2RILFy5MrJMpZYGqKpkANyV2KeRYOl1lAbcyCz3fNTVAgwbNE98rK+k54vH5559jxYoVHmvInVVU7MHixYtdx5CcDYF7eX6+7BvwygLOlL5zBCQBzh1r0hO5yTxTqrKAnF87ygLeNgRAdtoyLxuCXCFi1RZ08lRkq1o3EZEFIkSIUO/AVRJyASeOgerlBxzBDd3vVnRUsz3wj5Aa9I4uHeTdfvvf8ZvfXJ/43r794XjzzTfx7LPPolOnThk7pvz8fNxwww3aXJEwMisLLFy4EC+++KLv9h999FEsW7ZMmcdJwqmJ++TvbzEI1m0IaFBEJ2sEkc7ftm0bLrjgAvTv3x/Tpk3DjBkzcOONN2LAgAEYM2YMNm7cyP/QBxs3bsSYMWOwY8cO4zrLly/HJZdc4pn0X7FiBY4//nhcfPHFWLhwIV5++WXMnz8fv/71rzFgwACsXLmS/V0YRAJVWUDOT3WgoisLmKQT6WC5tpQFuKA94A4CiDY7L0/aFogBtpS110fZZrJA8+ZFrA1BOoocXbt2hVOF6uDww4/BuHHjUGj6kx7QZQHpVL8PTMoCmQ6k61XlenA0KKGRPjLm3zj/mVMGSEaK0otswG1DD6gHUR9yqwoATjUsAOx1LamsrMyKGgtHnHjooYc0khrNBMuDrKqqwqxZs5S+lLjN6X2QqepFL2UBv+S16OfRAJ2ebBbJtHSVBagMeboQx92pUyuceeaZcasjmdzs0aMH7r77bvztb3+DZVmKhHjr1jWeClpeHuaA2qfSyQJhkJKk37ucF0RZgNoQ6O1KUGUB8bvDDjsML7/8Ml5++WW0bi0VYrp2PRUzZz6W+F5SYvvaEHAWcvQ8FRXB6P9elxBEWUA8A7yygPt9K5Y3atQIf/nLXzBjxpPK9mbPfgq3335X4nthIZ/Y8SYLuJ/rl156CfJ5En31HgD+AaCfa/1nnnlG+S7vYV5hQicHhKEsIAiPYdoQqMoCKsHFdM9yRQwCQlkgnf8bRpIoDKRiS5RJcNfb9P7LNVWEZOFtQ5Ab/4WeU70/7GWX9dlnn+Huu+/GTTfdhHvuuQdffPFFRo+TQtoQyHk66Ud/rvV3Z7o44ogjsGzZMtx6661o1epwZdm4cbfj7bffJkoz/snXZCHGEPQZ0a25OIh2NyxSvemdZdvqOFUoRnnhlVdeYeb+CMDjAE6Dmk6LYcmSJQC8id06uLg1hWV5E7vE+eaUfsS7hvabxHMuCwZSsSFwprmkLOBlhVcb0OMNavwjN9rW2oK4x8TzF9kQ1E1EZIEIESLUO3jbEFhkPTcDNVIWSA56laoIuNS1wXMEB3pHV/Xtzkf79sckvrdqdRh69epVK8c1evRo3HbbbXF5coCzITj1VFmJXF1t4+GHHw68/UceeUT5zknCpSuhRW0IGjaUA0n6rOhJQz8J92+++QZnnHEGXnnlFdZOYfny5Rg2bBi++uqrpI/3rrvuwu7du33XW758OV599VV22TvvvIOxY8di69at7PLNmzdj9OjRCe/u999/H5dffjm6deuG9u3b44gjjsDkyZMNPoH+oANLWjGXakBCkgUQn/IVobmoLCDuLc7zTx94N2yoZ5fcZIG8PCcJUFxss2SBINL0Jhw4AGzfLl/G6dja0GdKJlT4YKOssqldZQGaLKCkOwFT4s+LLGAKWIp11GS/XmXo/3/TtSEQ7aFQHfnjH/+I3/zmN/jTn/6Et956C7ZtM2o1FoCu8c9bXMfUvn37LNkQqOfi0KFDWLRokbaWW1lA4LnnnkNFhVxeUOB4pP7jH39PzPvrX+/Bo48+ivLy8jAP3UV0SMYTWCTK2rWTN6JOFghLWSBMmWTB4WjatAHmzp2LTz75BN27O/faCSecjnfffRfjx49P9DfKymRb1LKl7Vl9TJOHjYgC+44dOzBjxgw8+ujsxLwFCx7EM888gwYNauLHlX47w1XWcVXKenJAkAVqaixXMtJPqpirjrQsC/3790erVl0T8w4d6ggqS19SYhtsCOi2xf+S8ygHp74oCwgEsSEQ55kjh3FtvUBZmc5eaeE6l37KAnoig7t+paWlkMovYp+3APg9gDtd6+vyzryVhrzHdOJZOsoCIkktnmmR4A86hvUiC1AFMWpDEExZwL0voSywf7+VcjuoV5XrylO1BT3hnu0CA66PGVxZIBNHlDnUNRsCnVDG2WV99dVX+NWvfoVTTjkFd9xxB/75z3/ir3/9K04++WSMGjUqZdJ8MpCVtLyqF+B+rsO0IRBo2rQpJkyYgN/85kplft++v0bbtm2VeZlSFqDtp4lkSCHaw3TbAU6hR1cWoGKIpaX+qTA+DnINgPEAHgS1IQBqsGePM172sozT4acsAHhbxuh2OhSctY4kjakkw9TIArqyQObacn9lAfk5G9aderwhl21TMg2dlBbZENRNRGSBCBEi1DtwnS7xsuKUBUxynbLKMoIJuoStSHKkk9yJkD3oHV06AKiqAnbtkg9IbVeCXHHFFXj99ddxwQUXwLIcLz7L2odTTz0V//rXv/D3v09PrLtjRynWrl2rbcEC8BcAV7m2/dprr+EA+UMcyztdCS1qQ2BZMpCosr3l+gUF/pLQkydPxrZt2zz3u2vXLlx22WUsmcDrN88//3zg9efMmeOaV11djUmTJhEZbh6VlZWYPHkybrjhBowYMQLPPvss9sWNrvfu3YuFCxfi9NNPx1133ZXUfwDUJEcYAxVpQ6AqC+iDY/qXM68sII6JX64H1iSBglYVqb8pKWmIP/zhD2SOCJY4ZIFWrVrhyCMdO4CiIp4sIKvNk0/e/u9/+cr7Nx3yGVcBT6vp6C0liRe1W63qVhZQl5v8N902BFTZwfs3vDJA8KAGR8LwtiFwJwfefPPNhOrIE088gcWLF2POnDkYPXo0Tj75ZKUCykFHAOLCbFKW5OXlYdSoUZ7qBpmCnnDfuXMno4pA20H1YT148CBKS50IZsOGNv7619sxYMAAPP74rMQ6Gzduw7XXXot+/frh7bffzsix66QqfxsCZ9q+vbwRdc/7sJQFUglmmiDuRZHo7NChAzp2bBaf15KQEh1QCfHmzWtIP9cctAWkssA777yDgQMHYvr06di9+/vE8k2bPsYVV1yBd999A0A4iW6ZaJXnm0s86m2+sCEAoCgpAHxyiUK0NdzrmRIPvv02TyFeNGpkUhawXZ9VsoCaSKKB4/qsLKDbEHB2WbTd1xMU27apG9+zx1LOlyCy6jBJOovf6GjatCncNgTCPshtV9asWTPlu/h/vMIEsE9zoAlQztpHAAAgAElEQVTDhkC0T1xixQuCLGBZtssvmrZ59Jlq0MDWlItoEQPi23PvSygLAKmrC5htCGr3udH7zNkmC9D9i+tmVhZQv9e14oi6YUMg39H6s6DbZX355ZcYNmwY3nvvPXZbK1aswJlnnhmKNZ8XvM6r6XsmyAICehvxxRfuLLQfETBZiPZEVRbw/51JpS9ZmN6joj9UUwNQvm1Zmb+3ffPmzZm5ggT5IwBt6BEk3me6ooEXuAIVHcGUBdzLRD9XtSFQK/STsaAToLEEk1pm2PBTFsi2DQHdp65kmA3yQjYR2RDUD0RkgQgRItQ7ePk4cmQBU1AtVxjWuQw90OwVRI2Q+9Cvp15du2uXvK7ZCO4cc8wxuOeee9CmzeEAgN/+9nwsWrQIQ4cORYMG8nj27nX7WQMnArgRwD0AuitLampqsHevlLX2SqTpy4OC2hAAdAAn11G9eL2ZuJ9++qmPj57E2rVrjYEUDqtXr2aS/F3gVPPqFbNgrQReffVVfPPNN4H2t379ejz00EOe6/ztb39LSi0CUJnvKvEitXtXetojPvWuUAcoWSClXQY+JlOwR9y/Yj2OXKDLRObnA1OnTsUHH3yAiRMnomXLgvhv2uDuu+/Ghx9+iAYNmgJwghMiQKGSBTiSTbD/tGmTOjxJ533Cq4TwzzL1YKQekZmuulM971VlAbfHqfxM+zqAl7IA/Y17nzrzP8h1ovvilQXU9fVrePCghbFjxxlVR7788kvcfPPNOOKII8jcbuSzShYYMWIEOnXqlJWAhP7ezGdLg0rJ59aupbGY8xvbPoh77703PpeyLp2HrKysDOeff35CjSVdqPee+s7xayfFNaVkAZMNQbrKAjKZkf415QKrXqpYurKA17o6WWDt2rU4//zzSf+CvggcEtauXc4zECZZwPT8C5iUBQA3WUAPLOvgbN4EaCLXti18+aU8MJOyAKf2RretV8OrxC7+GHMdQZJFulQwfbfpY11nm+p1pGo9gHNf03NZWGizFXucHQD9jY4hQ4ZAKgs0AlAAx4YAAJq41j/zzDOV7+JccEm3WMzKkA2BShZIVlmguNid4KfvcfpMFRY697W4nvSe5ZRBBISyAJD6f3bbEGSn6lEvKMi2DQG93s2aeSu96PdGXYt38DYEYllu/Bdd8YOC3rO2bWPChAkoKyvz3N7333+PiRMnJk04TwZeig0CJmWBTCQS9Xbyyy/Vg6mpUcc8YUBcG6q4EsSGwKTSlyw4e1n63bZVsllNjeXqs+oYOnQoM7c9+fwz8jmGM844A4D3u1iHqhJkUgl0ply/XDwvuiodIPu5XGGKJI2pfYsgoLEE1b4se8oCXmTJ2gBtP1Mh4dcniDZNL9oEfnjnoi4jIgtEiBCh3oGrCuYCTpw3YDIeUxHUTiFNcugykRHqBnQbAr26dudO+bBkWprbC+L+atxYzqMDrMLCRvpPALQjn93VTU2ayCAmRzhKt2JVDOZ0P2qTDYGjLED3qZ5vvvK/M4CbIAOzEs8991zgY61ie/Ij4RAGxgBopSzh1AOWLl3KbONEAE8DOD7wsVDceeedqExCtoTKyqtJsJR2nwisi4Gq2Kb+LNDtU2WBTMSp/JUF1CBAEGUBcc93794df/nLX3DRRWfF12uN8ePHo3HjxkowT7T7VA0gHTb5li1qRiIdmVdObl/1EZSfqaWDZclnNdPVqvTxoaQ7wBxcBDhlAfmZ9mW4AApXAZFMwJgjG3jbELi3EYsZso9xVFRUoGHDhkQ69XCyVJIFevXqhbvucry3Kcmj9pQF1Pdm27ZtGQsFSororCxp1aoVCgubxrdFNFJBs8eybPXAgQOYNm1aegcdh64OFVRZoKpK3icdOmTehoDKkKcLqvIj4KWKRZUFWrSoIVLl7nXpvJIS4NZbb9VUJuhNKexdnAPasyd9toB4x5isSwTcygLyXFDJdIBPLlHI6kj12tu2O6n5+eeULOAchx4cN1WUC9D3bWGhXtVWN8ce4t0ZTFnAmXIJBi/P3m3b1Bth925LI6jaLCHERFYD+GRe//79UVIiflQCp90WHZTGyrpt2rTBqFGjlHmS8OJ+h4VtQyDlm6FMg95HXu2bShaQJ85LmcpLYYIqC1BiZjIQbTanLJDBPKoL+vnN5ngSUI9HEKdM/T79WOtavINPaof3fg0DXh7slNT6/vvvMyqCPD7++GOsWrUqtGPUwb0n9Xcb7ZfT5bWhLECJeoC77xcGuKr4ZJQF0m0HuLgu/a4rCwBAaan3Pnv27ImTTjpJm0vJAgMSn5o2bYKRI0e6jsHv+nIFKjq8iF1ez4uYJ/q9ti3bNl2RKBmyEI0lOONldT+ZgL+ygPycbWUBfVycK21rbUFvD72KCSLkLiKyQIQIEeoduOo6WpUgwA3KvfyAI7jhVhZwPtc1pn0EB7q0NE28HDyo2hBky2rCYYa7A3S0I9q8eWv8+Mc/1n5JCQRqddOgQYNQTDREOcKRWuWf/P0t/e5FBZM6X9+uuxpe3d7OnTuZvdwK4GYA97qW7NixI/CxdurUiZlLB8eqLB+3vvDtU3ETgNEArgtwFO7s9+7du5OyR6DKAuleP4BeQ8SnfDUEvaY0wJsJNrWfsoBejSCOgRKB9OCEnhRq2lSSwMSzIYITxcU2W80gjicVD/nNm9WgVqZsCJzllKyjXl8R1M+0D7aebPYmC5gJjZWV8ka0LLmQs1fiKiCSqS5RiU3O1Ota8wH1Ymaeis8//xwzZszA8OHDYVlCZaAawFYUFxfjoosuwgsvvKBIhYYpWR8E4lwIj8q8vDxceOGF2lr7AIjqt8OUJb/+9a8TygKqXQEg1QXUc7Vy5UqsWbMmvQOH+50TVFmAJleC2RCkd5xhBtxo2yXgpYqlkgVsIlXuXpfe5+Xl3zEkPXpTCnuXA/H1039BcH7vvLKA+t3LhkDcB342BPq1OXjQ/a79/HNnIyUlNvLynES0Lp3LkwXkdnTp/Nq0jMkUgtgQ6AF9bqzrtD984k9XFtizx9KIF/42BG5lAff6lmXh6KMFsasRANoXl33v/Px83H///SjUNsLdw9SOIlxlAWeqKwsEtyFwppzNCm1fKInKq/8ok13u7TVuLJ/RdG0IxHWk7X1tBvD1pGC2YwZ0PCv6u5ENQfYg39HuZbJS18LixYuZX/cEcBc40nwy48dkEcSGQG/fxfJMxBv1dnLXrjzs3Oke7wDhKQtwFd+mxC6FaHczpSxAyQIVFeoyGtcyYcaMGWjVShRJFEC1HpBkgUmTfoeieIeGHoPf9TWpwlGIa8T1y3XSG4V434h1OFW4dJUFnP2I8XL2lAVo7CIbsv9e8YbatvrJNiIbgvqBiCwQIUKEegfaKdPJAnQZ5w2YDBM0gnuwIYIj2ZYUjJAa9GpTvbqW2hBkqxKkslImvChZQCf6XHrppdovzWQBfV2uw59K0pOuLzrHsoLJ/azQgbKfDUGjRpx6Qrf49CjXEn59Hr1790bv3r21uZQsoHrMjh071rWNli1bMlsWFcKtmGUUUwCUA/iNa0kylSFSYtFJTIhrmEpAwrbdhA+ZTPZXFkh1v36ghAgOejUCRy7QiQZ6sKJpU/kyFBVtVMqbIwvwiXnz/6DQyQJVVVbKRAsvWUBn23JdQQoQ58MrOBMmxH1RUODcpzTg4xVsFH2UtWvXYtKkSbjyyj8mlo0YMQwzZszA7t27lcSD6PfoKibOVCzz/7+6Cg39PeC+1nxAnUaCTwEwH4De7jjP/Jw5c/CrX10JAGjRohwPPvgP/Pe//8Vdd90V98im/8d9jJmErNaU8y699FKGRCVsWSRZoF27drj88svJ9QhGFgCAd999N8UjltDvg6DKArRYvk2bmgSpUE801xUbAqkWwJEF8hLrFBbCU0GLzlu37hPEXBk4jizgNDzV1YYocRIQ97xKFuDaZ3UetSHQ1SF0yVodpupIruK7tFSeSwFdyp72tcT/oFXPos+Un++oL+Xny99kmtiVKZiSHBRuGwK5jCNY0Oth226ywO7deS5LB+4aexFPOBsCAGjXrkl8m83hJO8SRwegGG3btsUTTzyB008/XfmdbUuFCs5Ko7rafV+FoSwgnmk5hk1OWYAjC9AuN20XpbKAu/8YVFkgdRsC9V1F24HatPDINRsCcb0ty06QBUz3gP6OSEf5Khuo+zYEzjQWA3bt2sX8ejqAqwG4beu+//770I5RB6fY4EcWoEnssCHaCNo2USsCVdEsc8oC9H1uQljKAiYbF/Fe5ZUF/NNh3bt3x4svvoi+fftCJQoAVCmsX7/jlH2KfrEfEYuzy9PhJWfv9bzoFf9eY79kYlt6lb+IFWYyNijV//jlXspKtQE13qAWTPzQpPfFuYhsCOo2IrJAhAgR6h245AAnYcp1KtUKvIwdYr2BPtjwqs6KkPvgnh1aXUsZ2NXVVlY64zQwSAfBOmt1/PjxGDRoEPkllT+VyaVzzjnH5UlH2wku6ZlsR1f3hQXAVicmY0NwyimnMHsS1bWHAVDXP/XUUz2Pcd26dbjhhhswdOhQ/OIXv0CBa8RKbRzk+WvSpAnGjx/v2p7uQxtfOz71Iy6cA0dZYLRriTv5Yobbn9WZphIQo9dGkgWc73qQlVY30iRZJpLO1GqBg0wAq1NaSWKyIRCgXrl79zr7E8Fex4bAvN/UbAjcw5NUA7J+KiH0uur+nbWlLCDOi9hvUBuCWAx4+umnMXjwYDz55JOorpYRxx07tmH69OkYPHgwvv1WSuCLoCRfARE8qOEVcBLHRuFPFrgdwDgAf3atJVRKvv/eacOPProRzjnnHEVNgKK2gzOynZHXrWXLlnj66afRpUsXsub/4lOHLNChQwc89dRTaNeuHQmw6Teb8Lpv4dpvMpYsJuiqFkHfc/S91aiRnUg264lmqSyQXodaT5SmA2kJ5FYW4AgAQlmgRYua+LrOfO6epvPy87ns2+fx6XYAQu1HZMqYMu0kIZ5vLuFOoVcSqmQB9Qf6e1SHqTrSK6FJ34t6wpmrKKftiXjn0YL02rKMyRS8KsoFdHUNzi6LfqYJiLIyy5X81G0ITMoCatJePT6ukhGQz1PXrr1wyikTlGV33fUQVq1a5SIKOMfM75cSwMK0IdBVRpJVx/MiC9DEjZcNAW1nvcgCtB+Wug2BM9UJkc6y2nt29Hsx2/YhtJLdzz9dP9a6Fu+oCzYEslLa/VyJdqGqykLjxo1dywFB0jwFQFdlCbUbDAurVq3C5MmTsXTpMgDAmjUfY9KkSfjiiy9cYynT90wqCxx7rOw0ffGFPAC9OCEMcEncIMoCYY21/GwIDh50j8NpEYwXevTogaVLl+KBB542rpOqcgRnKaSDe18I6KQ3CjFPjDF0NTEgOaK4gGhHxLWrDRsCWgDCIdtkAU5xj5KbfkiQKkZcfKBuvTN/yIjIAhEiRKh34DpdogOnkgWcKVe94CyPXmZ+0DudEVmgboNLAIkgbFlZnosxnI1qEBoYpAFnvXq2QYMGePzxx3HuuefCsizoygIFBQW44oor8MADD8SXS9D7OoyOru6xC/DeqMnYEJx22mno2lUNhMiK/4aQVfxA69atMWLECPbYqqqqcPXVV+PEE0/EQw89hI8++ghr1qzB6tWrtTXdygLFxcWYO3cu2rTRmfYOmaFHD10GMihZQGhWuwM73bp18/mthEykO9+9mPlBt0W3J4OKlrau/JxtZQG9Ol7ci7SSxE0WUAfiotIKkGQB6pHIBfR0Vj0QbPBeUwNs2eK8lDt2lC/sMMgCelLcWS6vnaxa0MkgtacsAKgBUrfHqfy8du1nmDRpEqoTf5IO65wOzubNm3Hdddck5oo+EBcwol6wfuBtCOQ8PfEgkipqIIySBQQZSW/TgBYtnET51187O+jc2TvyVtvBGZmAUef36NEDy5cvx+233x63xXGUBQoKuuGWW27B22+/jaOOclRgzMoCW+LTbq79dujQIe1j131rVWUB831P+3jFxXbC854mmmtqJKkoLGWBMILqvA2BM/VSFmjRQq0+5rga4vclJTaOOKI7s/flAE6EI10rHjQRXW2Y9v/jJdzd6+nKAg0aAI0aOTvX1SE45QwKWrVHQckCehCbJle9bAi4sZsIRlOSgQge12Z1dJgwJTko9OpfjghHt0HP2bZtcsPi3HPKAvp9oR9TUGUB8bxXVlrYv7+Lsuzkk4ehoSE7pZIFbNfnWCw8G4JYTPaHxPMv3r1hkAUc8pU41yopA/BWFuAUJsJQFtBtCLJV7acn3LOlVCdAya9+Vc6RDUHmwan/CFBS62mnncb8mipN/VpZwq+fGmzbxs0334whQ4Zg4cKFqKqqiR9XJWbOnIkTTzwRs2Y9qPR5TRXvmUieiTaiS5cYWrZ0LuzixV/hpZdeQkVFhaYMGpayADcW9P+daSydLEykOzGO4twRgygLyO1YaNXKrX4moO+XU0biwI1TdXgl9Lk+rYB434h19D4/nSYzZhLXShxXbdgQ+CkLZDshzVk8pELEqA9w2xBEygJ1ERFZIEKECDkN27bxzjvvYMKECRg0aBBOOeUUXHHFFVixYgVsQ++Lq0zgPDUlg5/vyP/QWICpQHTc8vIcf/tkqzIi5Ba4jq4YRNJgo4BfNYht23jzzTdx1VVX4fzzz8dvf/tbPP7446jQTeOSAK0qMtkQiP9RXFyMmTNnYuXKlejXT1bi//znw/HJJ5/gtttuYyroTW1I6h1dOngKakPgJG7kdz35lp+fjxkzZmjHTyttnepVy7Lw97//3eULCzjX56qrrsLjjz/uefzOPihZoDmGDBmCF198ET//+c/Z3+Tl5WHWrFma/YFI/ksDa74yhCcLFBQU4JxzzvE8VgqZSFcrylMJiOlBdWcqlulkAap+QY8nk8oC6vxYLIZXXnkFa9d+DAD44osNePDBB7FvX5VrfV2CUn8kVLJAHqqq5EC8uNgObEMQ5J26Y0deol056qj0yQJ+cvniHonF5Lq6skCmE1C6ooGXsgBt5xYtelpT2qBZQTn/m2++TnwW/Z5M2BB4EUNEMF4klR1QsoAI8LoT4MOGDUNVFbB1q3MyunTxvpFqW1LXy9O9SZMmuPzyy7FixQpcc8358bmdcPnlv0OzZtLORbYZ+s22OT7tpswtKSnBGWeckeaRu0kf9Hn1uu9VsgDQrJk70Uwtg9JVFgjThkDaych5VFlAH1q4lQXEu5tTFnCmJSWOnc/xxx/PHMG7AL4m32UnIN2qLI4EzZEFuFytJHzoZAFnapIq5irZATWh2bOn2iB4KQvwVfJynrh+NMERloxxtuBVUS4Q3IbArcJBLQh+/GNnwZ49wZQFvJJdJrIAfZ7Wr1dvQC8lgCDWCrqywP79VkokG0r2EcfL9cu94KecIrZLnynxHEk1DLl+5pUFVOIPvd61mczQ27kQRHLSAq1k9+v36W0Mp0aTy6gvNgTV1cDQoUPRsWNHbQ1KFpCqd4cddhh+8YtfhHaMM2bMwMyZM8kc0QF0TrBt27jxxhthWbJx0klAtWFD8J//vI6ysrcBAO+9txcXX3wx+vTpgzvvvDexbiaVBZKzIUhv/yaylTjPe/fChdLS5O75HTtk4+xF5qbf/YrP6HITWUC0S17KAhy5Rihc7dsXQ3V1tUYWEOvAuG0TpEqh+j7LrrJAcsUJYYO+Q2Whkbs/9kOA24aALsvCAUVICRFZIEKECDmLsrIynH322TjrrLPw73//G59++ik+++wzPPPMMxg1ahRGjhyJ0tJS1+9op1t/SdFgFlfJQYMimei81zeYkhxBB8+7du3C/fffjxNOOAGdOnVCt27dMHr0aCxevJhUS0aoLXAdXTGY0P1OAW+ywPr163HKKafgnHPOwbx58/Dqq6/i+eefx9VXX40+ffrgySefTOkYTcoCXozirl274phjfpb4fvTRA9GuXTuY4GdDkOytSQOPQW0IGjRQ2yZun6eccgr+9a9/oWXLlnBsB2iQpDOaNGmChx56CMOHD2eP691338WiRYt8j7+6OgbLkmSBa665DfPmzUOfPn08f3fsscfi+eefR+/evQE0ACBGsg6BoG/fvliyZAmGDRum/ZInC4wdOxbt27dHUOiJdHENU6le0IPqzpQPKorrWFhoK4PaTLCp9Wp4APjss89wwgkn4IILLsC2bU5l8t69lbjxxhuxbNmK+PpyG3oyyZssoMoZFxXx1Qy8j73/ed+0Sd70vXrJmz5TNgTimOi10ckgmVYW0Ekt1NbBXYkkz/Xq1f/VtsSTBYTKACCDUlwbl0xQI1UbApFwdUCYNAayQP/+/XHMMcdg27a8xLF37erdOeOSZZmEHjQzoVMncVwWdu5U7ynOHsTBpvi0K6i1zK9//Ws0bdpUXzlp0GeyYcPgstR6oo2zITAR+1JBKp6qJtAqUgHahumJQrOyAEcWEMlD5/u1114b4IhkdDXdZLfo+3hVgwN84l9cQyqZDvjbEJgSHrSv1ru32iDQ5KrOY+SUBWgwXSoLyPXEtcy0ZUymEGS8qT8DfpL9dJu0/96rl/PDsjLLRYLMz+eqMvn9AO5rJyDu/7Iyy3U/eVXFm6wVxH1QXS3vK9reppKwVfsx6rMdVBZfKgvwy8V9XlEhz4G3soD7+ZXHKN9tqSoLuAm02an209vOXLEhKCryr3LWj72uFUfUBRsCr0ppSmotKCjAvffei3ylYaL9op4A+gEAtm/fjssvvxzr1q1L+/h27dqFe+65Rz+y+FR9kGIxOUDU21bOZicslJc729606b+w7bXxub3jy8qxcOG/E+uaiIDJgttOEBuCsJQFTGQB8Z0jC1B7zSAQZIG8PBvHHad2SPX3I6fyw8GkEkRhInPbNk+u+fTTTzFp0iT861//BwDYubMcffr0wT33/COxjltVLvj5F9dK/FZcw0y25ckoC2QjhMwrGWbveLIJXVlALRypW+/MHzIiskCECBFyEpWVlRg7dixWrFhhXOe9997Dueee6/Jt5XzXuQ65+Ew7laoNQWrH/kOC7tVL5Vn9ZLfef/99DBw4ELfeeivWr1+PQ4cOYd++fXjrrbfwm9/8BmeddRbKysoyefgRNHCMYzEA4JQFTIHZjRs3YsSIEfj888/Z5eXl5Zg0aRLmzZuX9DHSADQNOHPKAhQ0mOgXaFNtCJxpKt7rAkFtCHT/aMuSg2/TQOP000/HqlWrcMcdM0G7dSNH/h7//e9/cdZZZxmPa86cOQH/QUvYtjzB+flu/2wTjj32WCxbtgzz57+YmFdQ0BSvvPIKli5dip49e+KBBx7AcccdR34l1AgkWeDkk0/GHXfcEXi/gDuJl4wnuw6aQPJTFqBS/5mu3NIJEV999RVGjhyJjRs3ir3Gp84DXVPj3Mg7dvwvsQ09wKMHqnWyAH3lFhXZSnJbQLxzk1XkEBYEgKossG+f/285cHL5nByeKsnpTP28a8OCniimAR9T8Cm+VNuSiSwgP0tlAbPiQpDrxAVFvGwIREC9ZUtK8BJBXUokKoawOWnRogXuu+8+ANKCAEhGWcD3b4QCP5l2gY4dZady+3b12ok246ijuiuKA1JZoCEAp4JuwIABmDZtWhpHLKGTPuizEVRZoKjIZhPNpnd1KggzmSHOtYksoCd/3MoC/HqAO3k4atQoX8JAUZE7EZ4quMpkzgOXu1flNdSVBbzvb9HGe9kQHHWU+jCqZAH9/UPbP/e2pTIEVRZwJ17rEoLYEOjqGqbEOqf0sG2bM7Ow0MbhhzsP0d69edpz7Ex1wpLJqk9sj4N4noSyCIVX/9uPABGLWYl2pW1beVOkIlZG/7u4H8U5OHTICtTWeNkQAHD1jSzLTvwX3SIK8L4PLEuqC4RnQyCX1aaFh55Qqq62sppMoclpvypntw1BBg8sA6gLNgReldL6mPjUU0/FE088gdatW8NJ2OvMHUddIBaLYfHixfjlL3+JDz74IK3jW7hwIQ65HhjxgtRPovxu6s/7xcuSRSxWQ9qIcgCfxj+3grT8kkyvsJQFOEJhMBsCZ5ru+9vUfnopC4j+XVDs3OlsrFUrG127fqssmzPnETL2luRuv3iy6b1HYYpfVFXJvoB47z733HMYPHgwnnzyScRi4uVYhJ07d+KRRx5L/FYSvZMnWJuUBTJJrvdTFsi+DYF7XB2mKlpdgiQLpBYLipAbiMgCESJEyEk88cQTWLVqle96q1evxmOPPabMo50uEXTi2J18UM29PIIZepKDBoi8Ag/r1q3DuHHjPMkAH3zwAS688MJIYaAWwXV0xbWlXsQCpoqKP//5z9i1a5fv/q6//npWHcQLNAFBPTwtSz7v3C1Df1de7t39Eb/Py7MTbQJNoiR7S9Kgk5cNAe8lJ5aZBxolJSUYOnSsMq9z5xMMEv8Sb7/9NjP37wDeBtCGzFOr+ZOVQLUsCz/+sZRjrq4uRN++P4EVZ2o1bdoUzz77LP70pz+hbdt2kMGepujcuTNuvPFGLFy4EMVcVtoDekVkKux5AToAlkF18+DdWa4m4jMRjNUrxW644Qbs3r2brCF2KgJZzgO9YcPn+O677wC4gzm672STJvJl6FYW4G0IOGUBU/Bd2A1NnDgRt9++AACQl1eF6mpJNgrDhoBjuIvzR59R/dnLtLKA9H5USXeAOegV/6ZtidqQ0BNGlQWcKacMkMzzQdcRv8vLM7fBIqkiqrMBYMqUaejevTt0BRGgA/r27YuXXnoJRx55JABgyxb5X7t08e6c1b4Ngdivn7KAPG6dfCe20aJFIyxZsgSDBw+Ot4+bEuuUlPTG73//eyxatCjpttAEep0aNEhGWUAuKy62WQn7MJUFglZo+SEWk+9SmoiglcGVlRZs28bbb7+N3/3ud9i2zWkc1qx5Exs2bCAKWu7tc5XGU6ZMwWOPPYb+/fsr6zZs2BDnnnsubrhhSmJe+soCzpTzsKfgEv/Nmzv3pz+6mG0AACAASURBVG5D4Hd/m64NTWjqygL0ftClprnkNN02Z73DSbrXJXhVlAt42xC4rzddLtqbDh1qFHUXkfgA3KRKfXvOZ3UZl8wD+IpgAa9EN22PONJIdbV8xihZwMvawASOKKGShvy3IdoAE1lAn19YKAsUOLl7aSPCb0+MeVIhC8RikrzB2RDUZjKDS8QHtX7IBMS+i4vtRHtk6vfpRIf6ZEMQi7lteLIBcT04MhJXYS1I82PHXk7WFI3JOMiqf6CiogIXXnhhWsUoH330ETNXtSGQkA2xWaY+5UNhsXTpW5Dk4QpIsgAg1AXEWBAA9u+nY8bUwZEO/PrFzu/CUQYy2bhwZIH27Z3rkqqyQGXlJjz77HXKsqeeWoCf/exnuOqqq3Dw4EHFPscLwcgCzlSPBelKfx999BF+97vfoSoxyBMNq3hZy85fVZXzAkuGKC5gUhbIpLqTn7JA9m0I5Gdxz/kV/NRXeBETf2jnoi4jIgtEiBAh52DbNubOnRt4/blz58Imoxveb9y9TARnTFUTuTBgynWITqvoDNHAiJc039///vdAvvXvv/8+lixZkuZRRggK2tEVnW5T5RDAB7Y3bdqE119/PdD+KisrMX/+/KSOUU1AqMu8BmbJKAvo8ln652QTFnQw52VDoCdugOCS2nqAf+tWw4iTQFdlcZJ2UwCcBCfAIqCSBfbuTb77qJ9zPTDYqFEjXHPNNfjPf1ZBBl0K8c47KzF58mQ0TKH0QWehi6BFKqxmXa7XmYplvLJAw4a1pyxQWOgoerzxxhvaGuLPNlSmtn0QTzzxBAA3WUAPVjRqJO9DnSxQXOztK8pJ/lN8//33GDlyJM466yw89dRT+PZbJ8tWU7MBV155SWK9zNsQ5I6yAE1YmLw349+0LXWKT3dAkkQAGqwUbRdvtRL8+eDIBnRbbhsCZ0oTVZ07/wjvvfceHnjgcWXdO+54DEuXLk0QBQCpLFBYaCtJIg617REpPd2916PKAjpZgAbejjzySMyfPx8ffvghbrrp4sQ6t902DzfffHNoRAG6X8A5b/n5shrK676nbUBJCZ9oNlkGpYJUCSBVVVXYt29fYoygq6II0Gduy5adGDp0KM4++2w8/fRi1NQ4bdLHHy/FgAEDsGzZywCcc6CPE3QbAoFhw4bh5ZdfxnvvvYcnn3wSzzzzDNasWYOZM2eia1dpiRSWDC9XaU6RnA2BuxKVIogNgVtZQH72siHgxm7iXUyvX11XFjDJJ1PobatKjJefOSU9YUPQoUNNgtgDqP7LXAJZ33ZQZQE9SU6D+F6Jfe695PzemVKiqqoskApZQH4Wzz+9p4LIKfsrC6jzaUUk13/0uw+EskCyhF3AZB2UnWo/Lj6QTSsCWcku++ym49HbmLpqQ6Aqd/AxtGzBy4bA1E8tLCzExx9/ReY8G5+2BTBYWbe0tBQLFixI+fiq2IdFJGP1bKk/WSDsKugnn3yZfKPKAgBHFnj//bdC2S9HDEhGWSCd/o9tSzJUEBuCzp2dxra0NLl9fvutIGytB/AfbamzzXnz5uGKK64IrBzBKeLqMN33ep/23nvv1YqsRLAlHw5RQF73d95ZruwzmftQ7EJXFshUHywWk3F7Uzgo2wlpORa0E/ecyT6ivkNXsPGLBUXITURkgQgRIuQcduzYwXiK5QNYDOBFUIYwAGzYsAHbtm1LfOcqCWUS0T0op9ULtCMfeer4Q1a1OlMawzYld3bu3IkXX3yRWcK/kpIhjkRID1yy2itHywVTeKJADzgD9zGuJa+99lpSx+iVgPBKKCRHFnATieggJNlOPx08iWCkqGSiy+hAWa9u9hv47N2rHhNnG6GjTZs22hxamXw4+dxOWUvfVxDo59xUjVNdrd5wlZUBIg0MbNvNfE/HO45eG0kW4JNqYSsLfP3117j11lvxi1/8AgMHDsSIESPw6KOPory8XFEWWL58OfNr1YZABgoOJYgFeuJITy5ZlrQiKC/nbAjckZAgNgQVFRUYM2YM3nvvPTL3iPh0A2h1fHl5ahFMrk3jAuT02ojzYSKDhA1JunO+0/eo2+NUfu7du4+2pcPi063afE5ZQE0SO1P3MhNMSR2uDbZtGVBv1Uoey4EDQF5eHo4++gRl282bH5VQHRH43/+c9qxz55hn9S09htoKektlCO/1Gje2EyodbrKAM6XJpC5dumDChBGJ67NjR3gkAQGvd75XO6kn2kT7sHevlbjHwlQWSMaG4NChQ5g/fz6GDBmCjh07olu3bvjxj3+MqVOnYv16ab9CE520DZs4cQo+/vjj+LeWZMuOCtInn7wTPxbLGLg1eZj36NEDp512Gk4++WS0bOlsm17zdKtr/RTTBHhlAbc6BKAGQDmYEh7inZ+XZ+P55+egoGBnYtnzz8/Dfffdh9LSUlfCmSML2LYkZkgynlxPfM60CkymIOWTzc+J3rb6JdY5skDHjjGWLFBYKIPbXsoCet8gKFmgZ095MF79b5O1gjgGE1kgXWUB8fzTd69f8tq2/ckCnLKA/GxWFjC949JRFuASUqrKUu09O9y5zQ2ygLlfL9flf1tXwNnKqBZStXxADKRVkHuZyWZqzZo1WL+eysLPB7An/vkC13YWLlyY8vF16dKFmSvso/Zo881kgaCV58li+/Zy8q0CQBmA7fHvR8Wn8gVaVqbK6acKrl9h6jdQhKEsQBPyJlLGHnJpunZ1rktpaXLpsK++EoVO3wL4Cs65FZAX8qWXXkJ1tdOIJKMsYOoDSGUBdT5tNw8cKMPSpUu1X9IGqwhUWWDZMmfdVAop9Cr/sNQh/Pbn7JM/R9m2IeAsXmrbFi9XoKucZVv1IUJqiMgCESJEyDm4q10BoD+AEQDOBDDQtXQfMTTmlQXcgUbO2yqyIUgOejKOVmWYBtBr1qxhrAUOB7ANwEuu9Xm5twiZABdMMnmDAbxM517OFA4TAJwF4N6A65vh5YMsBllcQoEmLvyqcmTlhVrhG7TKXwdNAIhgoXhW6DlUbQjEMYhl3sesV/sHIQuMGjVKm0NtC7qSz+nZEHC/MZEF9HYjXW9WgMrrOt9TSSjQAbC4hqZqCNku2mkFY23bxowZM9C/f3/cf//9+O9//4uvvvoK77//Pq699lr85Cc/QUWFc9M0bAiDWot4NzYHYIGSBcR7U08AcJWoMhmYx9gQuNcPYkPw8MMPY+3atdovBVlgIyhZYNmy9907CQA/GwIvZQGTzUTY0L0f6XvUy4Zg5MhRyFcullAW+Eb5TefOnRKfRTKGa2uSkUvkyAYA39eqqpLXoWVLdx9BbxtotavAli3O//SzIHCOwZnWvrKAf1BUqAuYlAV0cl5BgbQvEOcgTNDrqJNpvNpJ2n4XFUkbAtu2EmQyldiX3nEGvaalpaX41a9+hT/84Q+KlVlZWRlmz56N4cMlYZG2W5QssHUrtUaiZAFhrSTbJf19ZVIW8AJNIKab7BbPmVeCF+DvVaoOQQPvup2PDlPCQ767K/CnP12D6mpJAt+7dxtuu+02nHTSSaisVK2oTARusX3xLqaJ6kypwJSXl+PRRx/F8OHD0b9/fwwaNAhTp07Fhg0bQt2Pl1e9gNuGgE+sS7KAXC7am44da9CsmbxQ333nzOcq3gVM1wMw2xDo93/v3tWJey6osgBH1qVjlLZt5XGlpizAkXiDKwscOiTPcdjKAn5kgVT64CoxzFamQO0qC3AJpUzKV/tBjNGKiuxEe1xdbbFxoLpuQ6B7STuf5fJcSOSIcbGXapk+nvr6668BNCVzdgB4Kv75LOiFRlu2bEn5+M477zxmrti3HtOQJ9StFBacBJkM8vObkW+COCCKqlrHp7KhLylJjZSvg+tXmGT1KcQzV1NjpXz/eZEFvJQFdu8Ovs9YLIbSUjGA/C4+XUnXUNY/eLAy/rtgMSfAS1nAmer3PX2PlZVtRY2r0aIM1GJQssDWrZtRU1OjWNAFVdXVlWXFs5opcj03RtdBY3bZUEjhLF4iGwJnqsZdav94IqSGiCwQIUKEnEPr1q21ADggGbsA0EpZkpeXh3btZOWr6CBYlqyU4DwcxWeTH2NEFvCHnuRQ/R75DiMv3/ZLONXLwyAHMg7cxIIImYK4NHl5duK50DvlbdrIB4MbFLRq1co1DxAV7B3hDFYkRHVdUIhAY1GR7RqEejF4qdKFX2BRdvjV+alWptPzJILaYmqyIZAd7GADDb3af/v2PN827OKLL0ahogFMvcO7kc/pkwX0c25qHwjvi/1dUKSbDNXhpSygBzlFwqKwMD1lgfvuuw/Tp09nBv8Odu/ejT17nBu7QQPb8OyJZHxjOAofkizQunXr+G/VX3BSkkL+1m1DwCsLiGdHDULK38ViMTz22GParxrDkQwFHGUBeTO8+uq7rn0EAWet4qcs4GczETb0ynR6Pt0qD3LZkUf2xP3334+CxEkWpACpLNClSxc8+ODMxHdxK3EkimR8K1VJY/dn2teiz3rz5nbiP5jIAt995z7fX3+dF/8//hEgKddZO0F8P5l2CkkWUC8sVQjRIf6zUFcIE2K/+fnud763soDzny3LSa7QBOTu3W6ygCmZFhRcAlRHLBbD+PHjPQmmtB032RAANNNJ21SR1A5CFgj+f2nSO11lAVnNI+dxkuZcBaCwIaiuthLv4Zoat8+5DtGu6q+psrLq+HxRzreJLHV2sHPnTqxYoapRqYlvd/BXtMcqWcCZhlmdvGLFCvTr1w/XXnstPvjgA2zevBmffvopZs+ejQEDBuCWW24xvpuTRfo2BO53hlheUWGhvFzaELRoQZUFxLl070duW34OqixgWSqT+MgjYwl1Ea8+nfk/ufeTrrKAbqUC6IR3798HUU7RiZSqGoabjCjIfJlQFuDe2dlWFqD3TzYr9KnsPSV06H376mq3cp3ffZJrkO98OY9+zgVVTXE9eLIAP45zrOooWWAvAKFaVgI1jijWTw3HHHMMBg0apM3llQVKSmTjqrdjQWXqk0XPnv3JN0EiFxXwLeJT+f/79dNVylID1wf2s+cC1HYgVdIQfRXr1fniO20DO3d2Xja2bSX6rH747LNNsG1xnYUaA7UiUPsDVVUHXMfGgS43kStMNgSqzSU3PqIqE81AyQLCri4Vm01dWSDTNgTJKgtk04aAU3r6oUnv6yoLplhQhNxGRBaIECFCzqFx48YYOnSoPpd8bq4sGTJkCJo1k4MALlhGA42iU84FZyJlgeSgB8lpwNVkQ9C1a1dmLi07U0tSeLm3CJmAeHbo4E5XFjjsMDmS4AKzv/zlL0nySoAO4NXrP2LEiKSOUdxXXHDOS9IvORsCZ+r2cpfB9GSg2hA4UxFEjMUkq11Wl1JJWMT36b0Pt3SwlQgEm3DYYYfhgQceQF6i4ePJAp06Ha/8LpM2BHrAMBViAmCqmHUvCwruGpqqIaiyAI1HJTN4/fbbb/G3v/0twJoNE/saOnSoRv4AAJo46wcZIDqIkSNHJn5L4a0sYGnKAryvqEjImxQ5Nm/ejG+++Ub7VXfyeSOofOLmzTsMygne4Co21AC5M1XJIGKamWpVHW7SnVzmpSxQUwOce+65eOWVV3DOOWMBdIgv2Yr27dvj2muvxWuvvYbDD5fvUNG2iX1alu1i/gdp32hAmZ5PrgKUPtMlJXbi+RH3kd42iGpX+Xvgu++CKwvUtg2BV6JfhyALCFlwAXH/uR5fyAqor78OrixgB4w+c5LE4vx5VbnL5IrzjFNpc/Euqm0bgldffRX/+Y/uIatDPlw0QK1WQtMvnLKAbJf0RJGUJfc5DALax0pXWUD0fXRVJD14zisL0Gvo3J+cz7kO0Sbp/a61awU5QASrKVlAtuWHDqnJFU5+HuDIAnJZ2G31xx9/jHHjxqGsrMy4zgMPPIC//vWvoewvCFlAV5kyVeHr6i60renQoUa5zjt3csoCfELLOT51mU4W+Pbbb3H99dfjssvOV+YvWnQL8vOdzrtX/5sjzOqfBShZIDVlAflZ9GGSURag7ZvpeU9WWcBPYUIqCyQfwqXvZJ1AC9SusoDoEwg1EyC7NgSULOCl9MIdY/2wIbDJ8to+IhVUicqLiKzfr3369IFl0fjgXlDCsRpnAvr165fWcc6aNQu9evWKf6Py7rJ8/YQTTkDLljI+aerPhx1vPPFEGkMV79/d8ak4R3Jw+tOf9g1lvxwxwNRvoFAJOqk9T17nUH+vlpTYaN1a7jOoFcH//kc7GIIssILM0/sLNb7HBvCqnjpMyoj0Pda9e0em2G4n+dwGlCzQtWtH5OXlKdco6PMv+iH6eDlTCjFBlAVSIT2ECc6GwETyqO/QFWxy6R0TITgiskCECBFyEpdddpk2h3byVbLAFVdcoXwXgwyu2g2QnTYZVJPLIrJActB9dmnAxDTw79mzJ/r21QcmjQyfgXHjxqV5lBGCQnTG6TOhBwOFJDLAV8G1b9+eIQBQRn+3xKfmzZtj9OjRSR2jqCDyIgtwlRG08sifLMBX95g84/yg2hC4g5JisMfJ/QZlJXMJfL16lcOoUaOwYMGCeNCDkgVaoGnTLpgyZQqOOEL1FA+HLMCvF5YNAcdCT2fQRgfAurKAvlwmf3VlgeD/Zd68eQFVVZxR865d29CqVSucffbZ2vIvIQNmkixQWJiXWDeYDYHz3JeXW0pwoqjIZqt//Dz79ukSEgCA07TjroGUUCzBftNN4wEuqc3ZEHD3iwhIZLriTso5Ot9pgNTkcQrIPkqfPn1w000zIWRWb7rpMnzyySeYMmUKWrRowfZrpHS+XJbM88GRDZzjcxND6GUrLpb3i2gX9cSHThbYulXuIIiyQG1XcnDn0gRqQ0D7mLJKx6wssHVrnmeQZcOGDZg6dSp69+6Ndu3aoVu3brj44ovx5ptvGskD8p3jThZ63QeiDRD3KpdozoSygNf/dyuVCNA+pdRNLy2VChxmZYEW5LMIBMsbWm+SUiELUCn3dKuyTDLmpr4MhWjjAakOwSn06OCU2wBg3ToRTBfEgI1kKW3/1Y6kqZJdbF8q91BlAUEWCOeZnzp1Kg4EkHm4//7705KzFkjGhoBTFuAS6zU1jpLbf/6zLbGsY8caNG5sE/lrN/FCv85eygL03l2/fj0GDx6Mhx9+GPv371TWW79+MXbt2gzAWwVAVNYDah+COy/pKgvoViqA+tx6JYG3b9+O2bOfSHxfvfpdHGSyJHq7xykL0L6HfH759lIoPKXSL1aJk6JPLOdlw4aAvjcyreDkBXEvFBWZ+/WAOpYT7+q6RhbIdRsCnYysQ5x3fZzfvn17HH00HavuBSWlqUVHwCWXXJLWcbZq1QovvPACJk+ejGbNaBHEHvx/9q47PKqie7+bBBNCgFAChC5YUOmCIIKFIlX5RKSDoFgRLFSlqIhi4UMBFZAqIEiTYkCkKHyKokjHAghC6AkkEFJI2d3fH3dn58zcmbt3NxuKv32fJ89u5rbZe++0c97znvLly+O1117DkiVLEBHB66kbl4Ot5hARQect7B7oyQJRUcG5vooYYEdxKxipmERlAXGb/H9MjBslSvADzp+3d02Xqwz5j81vvgUwGMATAE7LR5jqpoJOUYeC9Uty+6TtpXz5EopguyTyXSQLPPSQsW8gUd/ymoW11WDNwXTXA/TpUUXSw5Xvl1XrKSvF038z5MDNUBqC6xMhskAIIYRwTeKee+7Bq6++SkroJJ9PgkeMGIGmTZsKx6rSC6ikLFVyf/R7sGXB/o2QjeR20hAAwAsvvCCVqMkCJUqUQM+ePfNZyxDsQhUhKTN4K1b0HQny9ttvo2rVqqTErCwQERGBTz/9FDEx4gLeF5hRUOV8UDmqGKhh8PJlh6VhTJV3zPjf+PSXsWyVhoDVx7guj0hnCDQNAWDOi61D8+bNsXnzZrzyyhtC+ZIlv2D48OE4d060EAcjDYFdZYHA0xCYWeiBkj0AcQHMDBv0GdLt7HnfcIOoLODPdbdu3aooHQAjrUAjUmZc4MQJI2pz7NixuO2228h2F4Ddnu/1vfu3adMcRTyJxO2kIdApC0RGuk1Su/I5VM7bMmXKyIcAYCTB3QBYfmvDGxcWVhSxsbGKY6whRiqKpBGAPxPV+1LQkRJyHeTcj4Aqxyn/Tucop0/zNnrHHcWF6BI1WUBPqrRDjtClalE5dWmbpmQBfRoCsd86doz/X6WKHWUBe31msOBPGoL4eKf3mHPn+O+Wo3QomJqC0+nQ9umzZs3C3XffjenTpyMpKQlutxsZGRlYs2YNOnfujOeff16ZAoq/e7xMlxuVgj07NudTOZqZI/2GG9y2iBRWsGNw27t3r6J0PYzIKqaOwzur48cPeb/ryQJ07sIi4DlD4PJlswoGELiyQH77GtX6BzA7eVXPgzru2DMUo5HtKwtkZGQQB65KWUBPFqDrNbHvMs7HJcz5Nh6lrayiX9i/fz+2b9/ue0cYCh56kop9+JKfB8xtgDrWVWSBvXv/RN26dfHSSx94t40Z8wQ2bdogPGtAnMvIhngdoZ7um5WVhR49euDMGeZAoSyaPBhphYz34MAB2aHCoSNAqPrWkiVd3r4+v2kI1MoC5mPS09MxYMAA1KtXD1On8uc+deoHqFevHhYtWiTsL69TVKkz6NxRR/Zh+LelIWCpT4CrK+fPnrVMfpUJDPSdYek8dGuZaxUqUroYkXt1f49MRpbBFVbMxzZr1p78dwk6ZYFmzZqhZcuW+aonABQrVgxjxozBqlXfe8tGjhyEo0ePYsiQIYiMjNSOZ4C1GmJ+IPaH6jQEN9zAgwPsqGLZgWr+amdeHIw5EF0P+SILFCniRqlS/IDUVHu2Eocjnvx3lnyfCGCOaf/ChQ0Puj9kAd390il+ieMY8NJLL0kpNihxrwwoWaBDh9YA/FeYcTr5/ENeL+c3lZYOdpQF6HO+Gg5plTqrSm3v/wNkG0EoDcH1iRBZIIQQQrhm8corr+CTTz7xOB1FZYGqVatiypQpGDx4sOk4zmZTT9DZdh7JodsvNJj5ApXbBuylIQCAjh07YsiQIaQk2vQ9JiYG8+fP9zunfQiBQzXRNSsL8FWNLhIkLi4OCQkJaNWqlaeEGtyrolq1ali8eDHZbh/2lAXE8pwc8+TUTt5UXRoCf41qIlnA+KRthS2OuVIHP9auAy8tzei8Spfmq9KTJ+1P8xwOB8qWrS6UJScbbTEpKcyzDzNUhvlNmLjSZAG1soDxf2BpCPh3Oae9vJ064AJVFshSWk6HArgDAIuI4Q3V5TL2j42NxerVq/HII48Qh/FOz2d9hIUZzrLq1St5j5XJASplARbRJpMFChc2xk25n1BFrNPFe7ly5dC4cWNyRBMATNJzBik3BpKbbqoVUI5RX2kIrgVlATn3o6gswL+npaVhyZIvvf8vW7YShw4ZDk9ZappCpUagioDgEVu+66ySsjXOB9M5ZLIAI5ew90hHFti7dy+GDh2KoUM/9W47ceJHnxL7dlO3BAucNOnb4MqUBQDxmdlRFgCA48fNjXPNmjXo37+/pRLJsmXLMGLECFO5iuhgR2FCJguo0hBYEfv8BTeqW0UlyxbZaACtYBAEWnvKOFkgIoL/QN9kgRwArJOnZAFeH7eb35erpSzA1i2+1GICSUOgy6WrejbGs2BEUEYW2AMu0byfnMFKWYDXiT1eWdEMCK6ywM8//6wobQCDwGZuQ+r9/YM/aQhYM1cR4QDA6TRu0IEDh5CUlASgomdLHn75ZRV69OgBl+s8KOjQKvfpNPWA7HRh7+6qVatw9OhRsoU66Y4AyAV7D/7++4y2D9dFWMq5vgGgSBG+DgiELCCOS8anqPjlkPbPQteuXbFkyRI4nU6IdokMJCcnY9CgQZg2bRo5b2DKArr3gM3DMjMdfs/Br6U0BKzfpNG9dtIQXL58GYcPH8bhw4c1c+T81adwYZHgK6c1oXUsVcqoewCCV1cVKqLotSQRLSoLmNu91TouKoqRkDMAOKEiCzRr1gxz585VyLUHjtxcPq9o0OBmFCKdqBXZiiu8BK0qAMR18+bNCXjuuedQujSrUyzGjHkdr776hnefAJZWSqiVBXzP/wpaWUDuT2Ni3ChZ0n9lATFw4ox2P4ZixYqY6qYCtTfrXku9sgD/HhXlRt26dfHZZ5+RlISpMAh7gKwsULx4tOmadtq/qDglEu0KSiFGtUaXcbXTEKjUWe0G/PzbwFWejd8fFsb7u/9vKRmuZ4TIAiGEEMI1jS5duuCXX37BY49xubB77+2IX375Bd26dVMeo3L0qaQsVRE4oTQE/kGOSrMytMgYPnw4Zs6c6UlJwI0u4eHF8cgjj+Dbb79Fo0aN9CcIIejgE13qQBL3KVuWR/NY2WrKli2LhQsXYtu2bYiO5mzsJk164ueff8a9994bUB2Zk1lFFtBF/qsc09Z5U9UG90CdUGwxFxHh9taROghYW1EpGtiNkmUOmvh4F4oXV+fF9gX5niQmGrLXbCHNcmer9vX33Lr+QTa8BaJiAIiGUa4sEPiiTaUsoMs1zXMqWxserVC2bFlFaWnPp1lGskQJrtARGxuLzz77DLt27cJbb72Fli1LeI9zuYqY6q6LDqfgygJhJuMEYDaKW6UhyMrKwltvvYV9+/aRI572fGYC+IKUG8a+W2+tZ66UDahyQdL2xZUF+DFXWlmA1ZFdjyo1hIcb0auffPIJatWqhfHjx3m3rV+/AU2aNEHv3r1x5AivpEwWUEXnquZJulywKqjIBqy+9DcBYluPjubvCk9DILbxtLQw9Ov3PFq0aIG5c+fi+HH2Ay6hX7+H0LZtWxLBasaVTkPgj7IATeND08Sw/oMaTRmYsgAgqiwAhlP2jTfesFXPefPm4fDhw0KZSk3IjgILe6ZRUUBqaioWLuSEjvfe+wxjx47F2bNGRJtqrPYXdsbBatWqSSU0/RHrO/nAW61aee93Ue5YRRZII2V82cBKngAAIABJREFU4kPHK5pr+WopC+gik+Vc8yplATZvAHTKAuprMgMgXTPFxMQgPJyNUzRncj0AdQH8Sc4gKwvQc/PvrM9i4ytdbwRTWUBP1LsZwMs29/cPKvK6DFl+WxWFn5eXh2PHWBtnN7KC5/M0mCzyhQtU5cFaWcAqDQE77osvvhA3CMoCf3k+jf4gMzMcO3bsgAoiAUJdB4YiRdz5irRnfVhkpNt7fjr2ys7ryZMn49dff6U1IN+5U/L111/H33//bTofIN5b9s4GoiwA+P+b1SpLdPuVC5BgTYYqC1iRBY4dO4YRI0bgtttuQ+PGjdG4cWPcdtttGDp0qGlM8xdOJx/DzWkI5HUL/86UBbKyHNeVEqV6nWnefrUgk5FlWK3j2FwyLi4Sb7zxBm68kSuY1a59DxYsWIClS5eiWLFi5oPzAarsxwg9DFb9GNsW7PeHkafCwty4/fYbMXbsWAwd2p9dFf36DUShQrz/CpaygGqOYC8NQTCUBfgzsFJkA4yxIzbW7Z0XpaTYs5UkJbH7mgeu1KDG0KFDUbiwMaG3IrkC4rus6/t16zO6vmJzovbt2+O7775Dnz59EB1dGIBBDoyOroqHH36MnDOwcUAV5U+VcgqiP1St0WVc7eh1FXHcTgq1fyPY71UpRF0NIkcIgSFEFgghhBCueYSFhaF06are/6Oi4hFmodWoiqwRI+scnk/jf/Ok0mz4CkENWTrXbr5Hho4dO2LDhg1o3ryDt2zChE/x2Wef4ZZbbglqXUPwDVXuZTliuFQpmnPa9zOuXr06nE6+KM3OLmfZfn3BSllAl//Pf7KA8RnsNAT0Xopypyy62Ryta5egwIwVxYq5vNGrNNe3Hcj35PjxcJw75/AuwqtV4z9clfbAn3PrlAXk8kAixgDRMc+eoz8y61bnY8ZE6tijC1lRWYCW279u586dpZJIcOM0k4/kK+Z69e4wnSM+Ph7PPvssRo1qb9qmivxnsEpDkJnp8D5Lh4OTIUTpfDmPvfGZl+dAZmYmunTpgsmTJyMjgxnYiwNgBoyl4HLfAHM6FCmiSlvgG74M5OxZUYM9f77Bi1a1grWyAPD+++/jjTfeQGZmJpizx7MVALBu3Tp88slKAEYUN3tW/Bw06tT4VEeUG58ul8Pn/EeXhkDl1KUGdjtpCAAgIeE38t+Nnk/DwbVjxw48+uijSEtLMx2nq0NBgl1Hl0eTgioL0JQCVsoCZcu6vOeWlQW2bt2qcZaoLbRz584V/udEFV7GlQX07z17dpcvp6BevXoYO3YMmEP97NkcTJkyBUuXrgMQHLKAHYNbjx49pBLqEGBkAe59qFv3Vu/3sDDe7m65hRKT2DkukTLuCKXzXJkUYxeioTx/fQ1rt3Iktv/KAkY9VBFkMlSKTg6HA9HRjPBG80YfgaEwQCF6B3RrN04WMD7pOxvMqLb4+HipJAwAk6w2K52VK1cu39fkZAH9PnIboH0027ZhwwZkZbH7zW4eUxY4Qc6WIpyb9l2yw0ck1IvjPNv3n39E8oEY0cvIAqwNFcWRI0egAnWq6Aj/DNHR7nwpCzCyGh1vVfNyAMjJyVGkm1CTBVwuF+bMmeOtI4WKlJGdzZ+/L7IAdUT6SxYQ2zL7pIRXv06XL7B2SvscnXz1zz//jAceeACzZs1CejrvSzIyMjB37ly0aNEC//vf/wKuizw/sYpyFtMQsHzkDtO9czqd2LBhA8aOHYsRI0Zg0qRJSExMDLiOwYRq7natpiGQ7Q+ANamVzSWLFQMGDBiA5cvnebe98MIwtG7dOqiKAvJ1jWtbkQXEbcz+WFDKAjExbu81KDHnwgWHML/Lb5ooq/PYOffVUBYID+eEn5QUe9dkKovx8Q4MGTIERYsWNe0TFxeHDz74AMOGDVOmaFKBKuLqVGV0Snc6cs0tt9yC//73vzh48CCqVzfmsW3a9Ebbtg9792HPhq757aybVPaVYJJeVaBzO/1c9OoqpKj61vwoWl7PsCILhNIQXD8IkQVCCCGE6wI0eodFvOigUgwQJRqNT25UE4+3O7kLwTrXsj/SfOHhPAIsIqK4xZ4hFCRU8oQyg7dUKZc3Cs+OYTY7W9xPJaPsD6ykjXVOIpVj2ipiXdc3sPP7n4bA+KTRi9QIwowjqihP+2kIjO3Fi7sJWSB/ygLHj4d5F8cAUL06t2j4G/Ev768jEwUrDYGKhZ4fZQG2IKcGcvqc6DvOSVTugI2xbdq08aTgYShBvpvJAiVKUMO1iFtvdZrkPOnC3pdkNSDmJGfvROHC3AhDjRSyA5ne99dffx3btm2Tzt4TPJr3M29p5cqVUa2a4YjJyEBAoM+aPze6nRF1eBl/X+DdVpCRY+x9USn05ORcxoQJE8je1KrI2+a5c0aly5VzWUbVyGkIxL7GrLigg2qsoP9T4yftf+2SBQDqsBPJAgBw8OBBfPrpp1DhSkcvqHIA61C0qBtFioj9s9PJDfSqiJmwMKBiReOYxESxT9+5c6f5ALSH4bj/0LRl165dmrr7pyzAHDuHDu0hpJ8Lnk8WUW606fR0mts1MPBnqh8PHnnkEVSpUoWUWCsLyFGLzGnYosVDGDx4sCf6kPW1BhHixhtvxMSJb3uPoeMVfc/9Iwvw7/l12KnWP6r/VQb8yEh+Dy5cMKch0L3frL+R10xhYez+X4IVHA7xR/sielspCwSD2NWmTRtECw+wAThJIAL8nTDw2GOPIb+wk4ZAdpKppIsXLFgAPkZYkQXEqEiVPL58bkB8j6KieH3NDjgngDUwVCOWe8rYexCjddip1BIA87sXFWU4e/JDFmDtVUcWoE7L7du3IzmZ5n4GdGQBAEhISDCdGxDvM2v3brfDO09hxNyCURYwOwfFuZBfpwsYeXm8Lr7SEJw4cQK9evXCpUv6PiQjIwN9+vTRElB8QY7MtXJ60Xk+czTK59iwYQMaNWqEHj16YMqUKZg1axbGjRuHBg0aoF+/fkhNtY5ILmhweWhedrWdbBR20xCoHE5sLslINdROECjx3A6slQVE8i9FQdkbVUEVdA138SInuISHu5VrvkCgIpqrUsjIoG0u0Jz3dI0mkzLk/9l9YakIzp+3qyxg7FemjAvDhw/H3r17MWnSJAwcOBAvvfQSZs6cid27d6Nv377Cde2SBazWENz+JJb7ai+RkZEoV854wCkpYdKcTgykUJ1fBZWyQDDTadm9poyrrZCiUiW90uT1awWqcUb3Dodw7SJEFgghhBCuC9BJvq+IVs5mU0/QZbKAbvJ+PcnKXS3IkdAREXzSbyfqnIEaZXQRxyEUPFSOA9lwWLq0iygL+D6n7AhKSgqzTF/gC1bKAjx3rnyM+Tx2lAXMZAHj018nFGsLlCBAHRVsYaVSdrC70GD9YtGinCyQ/zQE4QJZ4KabgqksoN4vWGQB6jRgDlHq/A30fJGR3ECui4agkY+ByrxGRERg7ty5iI1ljjdKFmDRrrwCVlHNERHAHXeIL5BKvYJBZTiiBjD2TlDDBDXK6fLYZ2RkY9GiRYoaPuX5/APAT97S9957D5UqlQIQeF5Y6lCxSkOgel9Ye6XG/IKAHFV+ww3cyJSael7a26wsYMBwCJUrZ16FW6VhUkVAAL4X8yqyAb0WfdfNZAHjO+sXWZ8eH087Vhqty8gCR4VrzZs3DzmKxpwfBZFAIJM9rOBwwNQ/q1RLZFSubNybxESxceYpX8weMCLoHzdtkfdXjTl2ImH4M6WDK3OCsL7KSI1y+vQhnDt3TnsuO2DzeauxNzo6GosWLSKR3iqyAB94xdQDND1GGEaMGIG9e/eiZs0mAICKFYtj6dKl2LZtGzp2bOU9hs5zaR/lj5pCRARv7/7Mm1XQER3tKAsAPBVBcrLxYtD+U/d+q5QFACArK9xznH6iGBYWhu7dH5HK1Gs3l8v4kxXNjO88Sju/KFq0KHr37k1KHpT24GNx+fLl0aFDB+QX/pAFVGkI2H0y5O/9JwvQuanssNCl6qPH1KlTR1HjDjBIFky6nysLqPeXfxMlNKqdPcx5HogjkKZSYTDmdyKZDQBSUkQlBgMx5Lu4yLhwwSBOmckC6rUVGwO4XULdPmNi+PjvL2GXjukqlaWCVlBioH0cjcJW9X2fffaZVkGIIiMjA9OmTct3fXwpC4hpCFyk3Nhv9erV6NWrF44dO2a6jtvtRkJCAh5++GHv+3E1oFrn++tkcxeggYw6GlVpCKwcTmy9yNYrdBwuSLIAbYuBpCHwJVPvL6iyAIOsHKQaR/OLQJUFdCn9/AG1+8jjqEpZAABKlmTKAv6RBeLi2PgTgx49emDMmDEYOXIkOnbsiBvIDbWvLGB2Mstgp3U6ReU31icVKuTWkg1KlTLqe+5cmE8CvR1lEbpmkdfLQMEoC6iuKeNqK6So0hDIaRj/v8Aq3U0oDcH1gxBZIIQQQrguQI3NTB5TBzaJ0kussf3UDH6dlHkIZlD53XPnzmHy5MlwOg2D0Jw5X+Ltt99GUlKSz/PQ52snfUEIBQPWNsQ0BOI+JUv6l4ZAZdDyVx6fgr0rRRSB1Lpc1f4qC/CoWXFBEqgTiqch4GWi3KnxqUpDYHehcfGi0XEVL+5GhQrGgzx9OsyvSblsTDlxIgzJyQVDFihoZQF1pDgjXvh/Tk4AUBt76eKYKguEhfH3yF+Swh133IF169ahVatWAEqRLUVRpEgRPPZYL2+JL4NM7driCyTKDuuNWwxUwlJFFqDfdRLYR44cR7bJitAARg5rAJghbFm2bJnX2B4oWYC1G4eD5yVWEThUShTUiFYQxg8G2Wjndrtwww3GRCYtTTYqU6sTfVBGXupCheToR3GOw2y8PA2B+j3w1Ub0ygJmchNt01RZgPV7rC+uXp2+o0xZIAbc0fsPKJKTk3Hw4EFT3VgdrrSygN28rxUqGM/w1Klwz/G+I2Y4WUCcsIrqIww3eT5LgEf5GxAj7/mYI5JGfEd/nDvHGiRl/slkAWOQdrvTNSQh+7Cb9/Pmm2/Ghg0b8PTTT6NwYapOEYemTZuiR4/+3hI5Cov1Nex9LVKkCGJijHZVo0Z53H///QgLC9NGH4vvud1fZhiyab7X/ICtW/xVFjh48CCGDh2Ks2cPAADmz1+N+++/H8uXr/buo4oapOemDo+cHP5bnn66Jzp16oRC5KIOhwMtWrTAihUr8MADdwvnE5UF+DWdTnEMpcZpdv+cTkdQ2v3IkSPRpEkTz3+tpa3G+128eHHMmzcPkfIkOQDYSUMg960q6WKHwwFOFojw/MV5/j9NzianIaDf5ahM/p0+G3r/H3/cTEwyQPsHJiFfFNWr36TaWassIN8XRk5kzsBA5ols/KFER4eDt13Rqa3Kcc7ISE6IqTbglaeWFdB095m1FV9pCPKjLKAi/tAx60pF+1GSeXQ0V9+S51i5ubmacSMOIpnQwJIlS3A5gLBkMTLXWk6b7sscjYAxP01JScHAgQPh8uEZ/OuvvzB27Fi/6xksBJqGYN++fXj55Zdxyy23oEyZMqhWrRqee+45bN++Paj1o4/Ql7KAzFmQlQUiIznxpiADUdh1IyLcprHfqh8rqLSnqqAKuoa7eDHMMvVVoFDNEewobgVDXcmKLCDfd9aPliplHGQ3DQGzh5QpY++B6QJYZKiC3GTolN846U1/LPud5887lOsNel17ygL8OztHMNNpUaSmpuLTTz/F4MGvestGjx6OjRs3mvraq62Qogo0slJC+TeDz0952ZUm8oeQf4TIAiGEEMJ1AerEYk4xHVQMTTGyTl6Uqw0joTQEvsEMHCdO/IP69evjrbfe8pIFzpxJw6hRo1CnTh2PNKYeopRrwdU3BGuwCZw40aXMdBcKFeILu0DJAsePBz79sKMsIBuLVUYCK0ObThIuUDkxnoaAGrepw0FWFjBHafuaXPNcjVxZwOl0CM5+X5DvSWpqGA4fNm6qw+FG1apO7b7+nlsX5SG3f3+jpxhEyVXjflrluvQFqizAoItAYsYO2ekcyAKpevXqWLhwIf773znespiYeOzbtw+DBg3xllkpC+Tl5cHhEOXHZ878FGvWrEFeXp423QYFjQBj7xSNyKMRdGZlAWbQVxlyu3s+swHMF7acOnXKa3jLL1lAzn/MogfZs1IpC9B7WpCLW/Y+hofnYerUqWjUqBEuXzYUBZxO2XJG/6dy2IZTs0gRc8SaGJ0r9zV8G30PfKchMD51hCox8kV0ojIHChs/WBuPi8sFj9Bkjt7byNkPm+qRoZCNsetYDhY48cLe/vHxxs05ccLIbWwnYqZSJa5GQPdv27atwpF1M/leTdjSo0cP4f9Ax5yLF1klaMNUKwsA6fjpp5+QH9Coal9BjeXKlcPbb7+NN96Y6C2LiqqIFStWoEqVWwEYRkX5ebG+hr6v7N2kTrpChbhRUkd09ScNAcDnA/klJXFlAXldI/5P2/3y5ctx//33Y+7cuXC7mZJJCfz++++YOHGy8hgKdi3a5ul4X716HKZPn459+/Zh1apVWLFiBXbv3o0vv/wSTZo0MSk86JwrTqdohKbjb7Dz5RYuXBiLFy/GU08NAdBY2loCLVu2xNq1a7UR8v7Cl5MYMPdrKmNszZo1AbCOLxxAGXIGmg5EVBagc1P5ObOxUq4ffW4PPPAAmjZtqq88AK4sEK5VF1OlVpC/A8FVFpCj/1XKaQ0bNkTx4nKKPEbEMo+5Dz5oqFHI/QCd96vIiL4UJmjUcn6UBdi4HajyVX4g59iW0xIxJCcnKyLwywE4BOAIxFRFxlzg5MmTfteHvotRUW6hLchOL1p3qiyQmenAokWLkGlzorp06VLb6gJutztokfwuF0914U8agg8//BDNmzfHggULvGkULl26hGXLlqFdu3YYNWqUT5KEXchpIWSIpFZxm0wWcDj4fPNKkAWKFjXnnLenLBDc+qiUBeQ0BAWhLCCfi5K0rRAMRzO9h77IkjwNgfFpJw2B2y2mIbADu/ZkVZCbDHpv6dyc9UnyPIqidGn+O32PA9Z1la/PlQX49vym02LYtm0bGjVqhNdffx3Hj5/xlm/d+h26d++O7t27Iz2dE/VUgYFXEmwMDUQd9N8GVUDB/9d7cT0jRBYIIYQQrgvQSX5mpsNyIqLK2SlHpwBWaQgKhun7bwSbdP7002ZkeVfc7NOwkmRnZ+Pll1/G0qVLtecJKQtcG1BFSNIFAGMnc7le3+e8dMk81QiULOB08ndFjtgB9BGlgZIFzNK9xqe/E127aQhUua/tRMlmZ/NrFC/u8pIFAJ4X2w7YPaH95c6dRmVKl3YLOTrT0vx7hvJ7oDPcyOXBUBaQpfYCcfz6oyzAHM9sO2tP+VlAFypU1vs9NzcKRYsWVaonyDhz5gzatGmD2bMHCOV//GHkVWzdujUuXxbzwaqMO5QswAwmYq5fvq9s8GD33eFQeZsqeT5/ByBK7kdGRhJDn+JQG9BFwMttmRpQWJ93pZQF2Pvy9dcrMGbMGBw9ehR8HJUnIpkAjnm+M0dVUTDiQPny5n5RlYZJlVvRH8eBimxAz0ePZ1ODyEgjN6qchoAZWkuWDIfDwQxCzBHQiJz9N1M9ypYtayq70rKPKoe7Ck6nEytXrsQPPxjRkomJTlSteiOGDRvl3UdvuDVUFdxuBwYO/ABff/01cnNzER0djaeffprsVxJiypIbvd/q1KmDZs2aCWdVpVCwoyyQm8saFG2Ypzyft8FIkcLIAhkBRXxSBGIEzM7mk5fLl8ORmUkNq+ZnJSsLANwJSZ10RvSxed/8kAXYc89vRJYuDQHtAyIiuEPjxx9/xIABA5DrfdjMgcXeIf5ihIWpbzxXY+Nl1HnLo/hKoUmTJmjatCnKly/v3U7nRXLd5RQqtB+m4y89x7Rpc9CiRQvccccdaNiwIV588UXs2bNHWXcVUlJS8Mknn6BPnz7YvDkMRnQ+xwcfzMSiRYtwyy232D6nLzASl1UaAtZGeRoCcx9uRPjTNAS0f9STBayUBURnl/qeh4WFYc6cOWjUiPbXIiIieB+gm9fRd0gnkw4ER1lAF5Gpcl5HR0ebiFa8jZidvv369QOgSkPAv9P7dyWUBWh/zt6lsDA+3w+Wg8cX5Bzb8nyAwaFsDB1gKDoUBnCXaav6GPv1KVzYLTwj+Z7QYYwqC2RlOZCQkKA4+4MAJsAYl+l5LmPTpk3aOl28eBFTp07FPffcg/j4eFSoUAEPPvgg5s+fT2wt/kOVigKwTkMwZ84cvPPOO5bnnT59OiZMmBBwvSh85WC3yq9O0/ExsLG4IMkCbD1M10kMupSoAO/vg+3YVAVVyGkIOKk9eMoC8nrATgoCQE+89weUT6O7zww8DYF9ZYH0dId3TLBLFmDX9ZVmQrUek6FTgWF9kjzWUDDbXU6OAxcu8JtDU8jKdbGCyvZA36P8ptMCDAWWbt26eclJAF0cGRX47rvv0L9/fy9R6VpJQ6Cau1wp5R6Go0ePYv78+Zg2bRq++uorXLp0yfdBQQQPujITUUNpCK4fhMgCIYQQwnUBOWrAKhWBarBWGcv1ZAFxewh68MkPXVEz47FoLR05cqR2kUsXcQWZVy4Ea8gR9Xl5eTh4cK93e1jYeeTm5nqNXIEqC8h5l+2CGu8KUllAt3DTpTnwBU4W4GUqKWPZyQzYW2jQlABFi7q9MteAf2QB1vaqV+c3kJEFypRxCYbKaz0NgUpqz44TTAdVKglfygJsYZQfZQEGOuZlZxuGHhW7nyI9PR1dunTxOEp+hxG9760lAGDv3r2YP3+2cJwquoEawVh7ou8wNVTI0eas3cTGxsEMZnBPNW1p1KiR97yKAHJb8BUBz+4hfX5sWzDyaNoBex8TEw+RUjaOqiYiOz2fd3o+K3i3NG5c0bQ3YCZBqohh/kgSs3dcjmC2SkPAniV7b9h7RKOySpdmB8pkgUQAPLIEAOrXr6+U4c9PupFAoCJ5ycjKykLv3r3x1FNP4cSJnz2lUbh8uQi+/vpb736y4fbEiRN4+OGH8fbbXD7/q6924IknnsCdd96Jb7/9FsOGDcNjjz3m2XozRBjKAlWrVsXnn3+OMGnCq34PxG0qOJ2MHUTndGs9n0VhOElYrqB0xMeLUaD+gjop7RqaZEJbamqY19msShPAHJB0msrfTbEdqqTK6TzDX7IAaxP5JSWxe2MV3UidYe+99x6cwg2V1SG4tX/XLrXctGrNRMdt1VyNQiYL0Gctq6JQMoWo1MT3Gz9+Ivbu3YukpCQcPXoUCxcuRMuWLTF48GDk+WAQzZ49G3Xq1MEbb7yB77//HocOVfVs4Y2hUKEyymPzAztpCFhfKysL0PvVtGlTlCzJIuBlsgDtP+U0BHplAVon+l0mNsXGxmLFihWYOnUqGjZs6HXcli5dGs8//zzGjRvu3Ve3zqOvoo7wD/B3in3mT1lALGfOa3kuOmTIENSoUYOUMGUBce7y4osvolatWp5zi/XWKQtwsoDxqXsP8qMsQJ0nYtoZ4/PKKQvw75GRbi35PC4uDqVKlRIL0ZJ8ryBsKVasGCpUEMvsQFY+EknA4j3RKQtkZTlw/rxIdjWwAMBgAE+Ztqj3N+T+77nnHowZMwYHDx6E0+lEbm4udu3ahVdeeQWtWrXCiRMn7P04Cap85YDeyZaVlYXx48fbOvfkyZO1v8kfyMoTMqxIrYyUTttJfvoIu1ApEDHoyFbG/8ZnQaUhoPWJiuL9j5GGgNkbgndd3TrLN/jEJzExKSAlDaaYAfivLJCWFob0dOvJV1ISP7+/ygK+5qz20hDw79RZ708aAsBQJwMM1Qf2bupSHOigsj3QgIFgpCF49913JeU4M1kAADZt2oTNmzcDEJ/z1UxDoErxcqXG17///hvdu3fHXXfdhVdeeQWjR4/GM888g5o1a2LEiBGCEkNBgt0LVRqrUBqC6wchskAIIYRwXUB29lk5qlSRNXJ0Ct0vRBYIHOnpbMJGZ5dqskBqaipWr14NFWjUaEGyv0OwBs1jPW/ePNSvXx8zZnzs3X7o0FbUrVsXycnHAfhPFmAG90CVBei6QWWA5gszsV7USMAl0e0Tjk6fPo33338fe/fuAAD88MM2jBgxAgcOHLBVb19pCNh9DHShQfvD4sXdSEnhBI8PPliEDz/8EGfPnlUdKoDdk9tu4yvbjAzjpsbFuRAeDsTEsFzq9tupy2Vu17p2HiyygEra244TzNf5RGOvtbIA25e9R/mJ3EpNFdtMerrDp7LA559/jj///NPzXy6AfWQrr3By8il6mNLAIzvLAD1ZQJeGIDa2tCIaU00WiIiIQK9evbzn1SkLuN1unDlzBseOHVNK0utSisjEERplwxxtouyj+vr5hdtNF870BdEpCwDADs9nDRjjLDeQV6qk7ltlIpVKGcAqYsuoqxsbNmxAp06dsHq14Rj+4489eOqpp/DLL78I56DGMVkNhso8u1xAejo38N5+O3sfZLLANlN9xIh682+9csoCxu+ziqIaNGgQNmzY4PnvONlSEdQI9ttvXK7/1KlTaN++PX7++WcwZQEDNwIwxqU+ffpgzZo1WLRoEd5//32UKXOPcN1ChWrgmWeewbp165SOFNWYw9uG1TybeWdpw9wIHmXbGVRZoHPnztpz+UJ2djb++mu/9/8tW7bakjyWx6jz53lkmOygBtRqAbKssXlfXka/+68swMgC+Zv/qqLNAbOyAAAcPHgQ27bJ7UpPFli37mvlNbmUMk8R4Q9ZwCoNAf3ucqkj2gDg5Mkj5AyEOUAwb948jBgxQluPmTNnYvjw4ZIKRmvP5wZvycGDSdpzBApOFvDtLLBKQ+BwOFCvXm3Pf2plgbCwMDz/vBglL6Z0EK+rIwuoJcILoXPnzli7di1Onz6N48eP488//8Sbb76JG28s7d3PjrKAlXy3nIYgP8oCskOfO6/FcxYrVgwrVqzA/fff7ykR0xBERUVh5MiRGDlypOlhmXXoAAAgAElEQVRcDDoFh5wc68hYhqgo7lDKj7KAGPl49ZQFCheGlnweEREhqTk4ALQg/4vEyK5duyIyUt327dYnKsptKactkgVEZQFzOqB4AIwgayZxmvc3xvwuXbpYrtcOHDiALl26BOT00RFG6PtA500JCQkkspfCPNnJzs7Gl19+6XedZMhpIWTo6kqVB0VlAZGcagd5eXnI9oO5x+YaKmUBlbNM/j/YUdCsb5DHXlY/qizgSxHLH+jWfjqkpqZi7NixuP/+u71l77wzAc2bN8eXX37pF2mATgllsqT8f2RkDj7//HPMmMGJMLfc0hjPPfccdu0SU/YxnD3LH2RcnF2ygEjSlpGXl4e1a9fiu++2AAAuXkzFl19+qQysomMHtQf5k4YA4GQB3drPzrpJpdwoppLwfQ4rnD59Gt98841UqiYLAMDcuXMBGM/5akrdq1LSXcn67N+/H23btsXGjRtNbSczMxOzZs3Co48+WuCEAbeb92mhNATXN0JkgRBCCOG6gMwIpjJKMtgApZugM+a+L7JAkFLE/auRnc1ukkpZwEwJ//HHH01lbncoDcG1AjaBO3nyGAYPHozTp09DjEZORlJSEg4eNCRd7SwIqMH+9tsNS+Dx44EpC9B+QGWA1k1E6fvFFnlWUTnUCLt06VI0bNgQH3zwATIzLwIALl/OxaxZs9C0aVOMHz/e54JWpSxAIyaYbZpHefJtPEpWf34aQTlp0li0b38/WOTYX3+l45133kHdunXx1ltvWTpZ2P0tX96F4sXF/RiTnhlh/IlqUkV06JQ0r4SyQCAMb+bE0aUhYAQBt9tKWcDvy3qRmmq+L+JvFN9Bt9vtXUBz7CDfaZ8tVkwV3RAdbS6nxglqFJcNYtSBPG7cOIQLO6jJAq+88grKlSunTUOQkZGBadOmoXHjxqhVqxYaNGiAm266Cf3798f27TwCVpdPXo6mY8+PGs6sIsyCBbFdq0h3VmSBcBipCLghOj5e3b7leY2/aQicTieef/55PPjgg1i9ejXc7nDP+XKxcuVKdOjQAWPHjvVeR0xDIDplqDOG9g1Fi7px881F2S8BUAo8Uv4XoT6PP/44OnXqpPytVzoNgSo6n2L//v1YuXIlKaFRgSJZ4KuvvvT20a+99hpOnWJEniTwd6Kqd3+Xy4WBAwciPT0d/fv3R58+Y4VrN27cHePGjVNEaBrg7z0v80WqcrmA7Gw25tCGmQOAEUI7gikLxMVFEwebfbhcLnz88ceoW7cuvvhirre8Z88+aNy4sZZ8yiCPUSkpYd52bCcNQXY2vz9yxKCKWEDnGUWKwC+wucGVSEPAxqP9+/fDDD1Z4PDhv5TXpOdWkQVU0ZYUVmkIZEUJ6qyjxy1fvpCeUXut2bNn4/fffzeVJycn4/XXX5dKq4MpcwAJAAwy2urV5nVMfuErVz3A+zW32wGnU/+so6KMZ1a5cjXEx9dlV0BUVDp69OiBTZs2oWvXVsIxorKAOvpVvpaKcEMRHh6OKDJJoHN23byOyjXrSCMATUNg/J+TY52ekCIxMRHjxo3DoUNGfvs9e7bhhx9+8M7jrdKslS5dGkuXLsX333+PuDhjbIqPj8Zbb72FvXv34qWXXhKk8OV0aeL8kZfn5Dgsc24zOBx8Du7v3FgXVc7qcaXGS7tpCADgqaeeQsmSTMK/NoDSZCuf9xQrVgzPPvtsQPWRndPWygLGZ2SkW3ifMzOBli1bQgQlxpYQtoSHhyvHxI8//hjnzp3zWedDhw5h0aJFPveToSOM0PZF34OdO3fCjCcApAMYZtqic7T6A/YeOBxuJQmavrv099D2oCYLWF83KysL8+bNQ/PmzREfH4+KFSuidu3aePfdd3HmzBnLY3WkQkBce8j9e0HZG1XKAgAQG2t0MhcvOrz3LpjKArq1nwqnT59G27ZtMWXKFKSmniZbIrF//34MHDgQL7/8si1iKACp/9SPYQAwZcp4DBkyBKdO8fREubnFsGzZMrRu3RqfffaZ6fzJyfwkdpUF2P1QPd/ffvsNjRo1wuOPP47Dh48CAC5fvoSBAweibt26WLt2rbA/ba90rLNKrcVAlQUY6UFFEAbUa7/du3fj+++/x65du5CXl6e0rwRzvbx7927Fc9eTBeiaX0VYv1Jg11QptTmdjgL1K+Tm5qJv3764cMGcFoli586dGDNmTMFVBHI6Kf490FSuIVw9hMgCIYQQwnWBQNIQiIYG0eAE6OX+dNHJIZjhcrGbTCduLLqzKGSo2LLZ2aJ8WEhZ4OqBtZ3ExMOklD7bZM+n8RyTk32zU9ki2uFwo0YN4wKBKwvojXAAjXATy9k7FRnp9ubts5OGIDU1GQMGDCARBmyGy2e/EydOxEcffWRZb3a4mOOVL67YYs86DYG+vrQ/3L37e883Fr1a0fOb8jB58mTLyDp2T2Ji3KhUSU0WYJEJ/pAFVPvq2rls0GGykv5CzM/KIvzN2+yCR57zMlUEktPJ+zOZpJAfKXt5zLt0yaFk9zOcPXsWR48elc5CDX+0XYsrN1XeRIfDHDUjKgvQuoj70Xf4gQcewIwZM1DYewAzBHNZ5BdffBFDhgwRzpuTw/unpKQktG/fHqNHj8aRIzyiNC8vD6tWrUL79u0xffp0Txn7TXKdRGUBleEsGHk0fUF0cKhIdyqLB3+ODkcD3H77gwAMA5ku4kWOYOLKAuYIQ8DcRt555x3MmDGDlLA+kO84ZcoUnDjxj3B+wCz3zJwDRv5M0alYtqzL87vKoGxZSgYwIqDj4uLw5ptv4oMPPtDmJ2a/40rM4dxuPl7oDKPz5s2TSmSyAH/RkpISsXnzZpw4cUIRWXPU83mjUJqeno758+cDAP75R2y8x49bW4JV7wEnC6jvH3WiVaggkxCWeT6LwyCzAJUrlxTaqR243W4MGTIEb775psd5QvuocPzzzz948sknMXv2bN0pTMoCKSkOb91VUVjs/ZTTYwB6soCO6OqvsgCbG+Q3upeToGUHvLmdq43wrB+OhKFaQgcW9cCpWl/RuZovsoBs5LZShaP9MOuf//zzTyFdlhVZAACmTZtmKvviiy+QY7r5D5Lv68GIFCdOpOOvv9TEiUDBjMhWZAF6n/Py1JFbAF/DxsaWRseOzwAwJNP/+ecQJk2ahJo1awr5qwG9PL58Xbpe9jeIm74Huvk3HTfos5d/IyMJMKUrwPfa0el0YtSoUWjQoAEmTZqErCyjPseO/YFOnTqhVatWOHnyJFG+0Z+vZs2aKFKkEgCgefP6ePbZZ1GiRAnTfnI/ICo4iJGYVs4uikDVFKgTSKVedqWkgen4YZAF9OSM+Ph4LFq0yEMYkJ3xhlJO8eLFsXDhQlSuXDnA+lgpC4j3hEp+U4JsZqYDffr0QYTwolKyQCwo2rdvj3LlyknnztJE5ofDUFUQYSYD+wZtX6p3ABAdPU6lx60nDMddL8X58+8FYs+jcGF1f6jLry6qGPJnYycNwenTp9GmTRsMHjwY+/btE8r/+9//4p577sHWrVu1x7O2WKyYeUzV9Z90W7CVTLmygFhevDhVFjATpPMLh0NeU6j3c7lc6N27Nw4fZrYmOvbyBvjFF1/gk08+sXVt6og1KwuIv/HwYUZqocSc0p7zuDFy5EgkJCQAMJQ8Xn31VYwaxVU2v/9+ETJ9sU+gV6rdvXs3Hn30USQmJnpK2GBntLeUlBT07dtXIAzolQWMT1nFhqJ0aV6BM2eYsoD6ObEmnJ2djUmTJqFBgwZo1aoVunTpggcffBD169fHl19+5d2/INIQmOdiALcpuwCIgwXdn6druvK2ZDaGinMXcd5WUFi3bh2OHTtma98lS5YgJSXF944BQpzHmUlpV+PZhBAYQmSBEEII4ZqHSsLaiizAJmV0gKYTdHMaAjUDNZSGwDdcLrPDgMvQxkKGvDgGzM9WF3EcQsGDG4vo8xSVBQwYD+ncOftkgaJF3ahc2WhUZ86EByRT5ktZQCc/zdZ00dFuW4Y21kccPPiHpBrA7ovomZ0wYYJlNIgumpHLb4r19le2S3SKXPR8ModUJWHfOXPm4KeffoKMvDxupImJcaNyZdFIJJMF/ElDIEYZGuexm4YgM9MRUF8s5tQTP10uh9+sc/YMdWkImOGFvtdsezAit1RpCFTsfobLKssrtoBHqieScllZQF0HmSxAjRP03ZYNRNx5a/z/0EMPYceOHXj11VFg40TJkg48+eST+PHHHzFq1CivI5iSgrKyDONlnz59lNGhDG63G6NGjUJCQgJh+ov7yAx3dYS1OpIjmBAXzfQiq2EYjhJMx1SrFoPChY2FfocOr6NRo0cAGG1UZ5xjxjLWlhgZQMX6l+uVnJyMqVOnSmdkO4vvzpEjBwGIBmc2psvKAgBw7hx/r4sW5WQBt9uBli0nAQDCwpwYMaI15syZg927d+P555/XEgXobyqo1BEUumhNCnME9wVwUmUlyBEz+/btw/r16xXO3KOez6qmazDlApkscOJEmGVfp1LekFN0yKB99MCBT+Kpp55CEa9Vej2ANGH/HTu24O6778YLL7yg6ZfMWLZsmZcAYYD+CF7ZESNG4I8//lCeQyapnTsXZhmFJacW0EUqGvsan9TRJOe+9gfBUhbgeezFcpWywM033wwzaM7pUqBznSpVyiuvSZsie2X9SUMgO53pmkxOQyDnOwfgSYFCJ5SRABrCmAOZ822rFM62bNmiqBlLQXDY88dVF1iO3GBBp3RHIRv0eU5YNTnP6eR5lsuWheDIlJWj6PxBlo6mz5c+D6tIRhXskAXENARu5XeAv1PUGebLeT5s2DBMnz6dzOmZJ99o8Hv27EHHjh0RFmaMw75U7tgcWL6XFPI9onMK2SltJaNNEYi6F6CPKvfV3wcbZmUB4/q6vq9+/frYvHkzKld+UigPC6uMAQMGYPPmzWjUqJHyWIr09HR8/vnn+M9//oMmTZqgZcuWGDt2LE6e5E4TQ0GL3x95uOLrAHlu6kD58uXx5ptvkr1vJd85kaRcuXIYO1ZUAAKAw4cP49KlS1JpKQDHAOwCHfcAI42Mv3LS+jQE/Dud+1WpUkVxlqqez0qmLer9/QNVb1BBR2pVpTwEeF+hW3NevnwZ3bp1084jACAtLQ09e/bUph5kfYFKWcAqnQpr58GMgs7N5e+pTNTjaQjClEqGwYAob69+hlu2bMGePXukUtbYxAnB1KlTbaWEsFJmMY+rrN2YyQIM7777Ll577TU0bdoUM2fOxJkzbu+xI0a8gIYNG2LHjh2wAnu+VDHH7Xbj5ZdflsgGrAHmmfZjQVY6ZQFKYNKhZEm3dw14/ryvNAQOZGRkoEuXLhg3bhxOnKDkZoNAs3QpV0pTKwtoq2ILlSqZ+xaemu4cZBI93f9Kp6GjUCkL+ErvFywsX75cUXoLgAEAxJQ32dnZSEhIgNvtxo4dOzBx4kSMGzcO06dP9yjK5g96ZQHf9swQri2EyAIhhBDCNQ+V8/jiRas0BManLiqBDVL6NAQFw/T9t8HlgleKWHRyMIOamSzw2GOPmcpUzsEQrg5ycthLryMLsFytxqIuKws+2amULFCpEp9Bnjzp/xRElPnVL8rliFKaM5sdZxWxzvqQrCzZcGNWFgAMVvPChQuhgyoNAQCT/CZz3KgWGlaT65QU2lkxsg5TFjAvulTRmLJxX1YWiIsz6sSMITT1gS/Qc7Pz6AyxqnKriBAdxKh7piygj5z2fT5RLUD+zq6nSg0QDGUBGoENGPdU9RsZ4uLipCgnADgAI1qyNcQc6OLN0Bl4ZEOYLg2BfLxq8R4XF4d+/V7y/v/aa8/j3Xffxa233iocS8+bleXApk2bfBpoGCZMmKBUGjLqaHyy58XeB2qgvLrKAp/AiKT4r+mYfv364b77DC/J4cPFvTkoy5fXT1pkEqQqGl7XPhYtWoRcU4NhliaxY8rLu+z55GWsTTPjOjVqJSeLDllGFgCA9euNB1CzphuDBz+PDh064AYbmqlXMg2BzgFDoY7OO+j5bAiZLOByuTRSkkc9n2aDPMsrfOSI8aIz2dG8PAdOndL31eweiTLknppo3nkxb/MNeOedd7B9+3ZUrVoVxnxBzm1vGGYXL16Mp59+2pasrFkGlj5M/tK63W7MmjVLeQ6zsoBdsoBZWcDc94nEAnpcVJTb0umrAut38mtkVa1/5P9Z+6hduzZq1qwpnUEmC/B7/cgjHZTXlKP/gWCmIaDndkjKAsyhdxniPDUKwAswIo8Hmq6nIqyonW4NPJ/fez45WSAjI0Oxf+DwlyzgdDosnjVfwzLpZFlxJjpabPNWygKsTjt37sSwYUO85du2bcbs2bMVDk416Hugm9OJZAFzHXj93bbPCRiEErPCCyMLcKfNsWPHkJhoqEZY8Zrcbh60wKJ1VShUSE8QEMmm1s4uhj179uD8eSN68Mcf92LmzJlIS0tT7yxBR2zzpSQTbIhkAT6PVM39ExMTMWXKFEyaNA2nThkpQZiNJjKyGl5//Q1UrFjRdJyMH3/8EXfeeSeGDBmCrVu34tChQ9izZw+mTJmCd9+dTOojEnzlMZBG8dL5L6v7008/jffffx/R0dFQKQvUqlULX3/9NSpUqGCqozoqvwWMfqwOgFo2j9FDn4ZAHf366KOPSuuIcABMwSEWQIxw/h49evhVHxV8OT91pFadEhBPQ6B+v5cvX25JFGDIyMjAhx9+qNxmlYaAtmWzsoDxGUx7o1VQBUtDkJbmgErJMBhQqVTJ+OKLLxSlbAwXDSXJycnYsGGDz+taka3M/Skbs/RkgQMHDkhqaizYyUhJkZSUhM6dO+PPP//U1okr1fKy7du3KwjEorIAQ0pKipcILCoL8O+ycpsK4eFAiRJ64poc/T58+HBlUAk52nSeYCoL1KtXT0FmZfff7Mzu1q2b93sgaQicTidOnjyJxMRE24RmFVj/qvM/FKTanTpVyjwAHwN4xbRl586daNmyJdq0aYPx48dj0qRJGDVqFOrVq4eePXvmS3lAR0oLKQtcfwiRBUIIIYRrHioDgJWyABukdHkWGcNTTxaAsP3/Cw4fPoxx48ahf//+eOaZZzB16lTLyYLoO6BODmbkFiUZGzVqhDp16pjOIy/gQmSBq4fLl9nsmhogqBGVTUaZhbywz/yKbBFdrJjogD5+XBO+bAFfygJyBLN8XJEiblv5PvlCTDbEqJUFABbdpoachoDJTaanG+SLr7/egI8//hjZ2cb98deQd+AAXTzJygLx4AtRA5s2bTKdg97bpKTD2LZNlMNcuHAitm/fHlBUE73XTKFAn4aALXx9R6FZQZ1Tj2/3d7HCnqEcQc/Y+mxxTJ2/8nXzwyq/cME/ZYEiRYqgffv2ijNtghH9SyG+5zpDtXUaAr2yAI/iF+85JUDoovNkqVcx2th7RTBJWorff/8dZ8+e99RJbShhz4Q9PzGXb/AiJXQQ27X8gpiZklFRUejatStq1zae2YED4d5o8vh4/aSFE6mMTyv5eaNe/PvevVTim0GlKgSwd4k+a7lNU6MWy58JGKojlCzAHF133ulfw7mSaQjo79TxGG666SZF6WbPZ1OIKZuyUb16dRQvXlxxDBt/y5i2xMbGIjXV4e0n7ruPd0THjunHWpXCBHvvdX4IVQT9woULSdqTZdIR3LH6zTff4OuvZTKBiCNHjmD37t1SqZosABjGfrciGahMaDPSEKiJewB3KqjIArLDW94X4ApGVnKwOnCyQP7eWba+kR3IorKAcS2Hw4FXXpGNiJQsUBp0rtOmTQvlNem52bqJzSccDrfPlAxySgjRSczvpcsl9sPsGRrOQmrgjQRwv+d7EQCiFV0VtVa6dGlTGXceMOIlJwuo9w8c7LlZRZTLBn12r3XP2unUkwUcDtHJTduDTDx0OnMxYMAAtG7dGkuX8jzpKSmnMHz4cNx111349ddfLX8fYE9ZgEZg6tJRAFRZwN48cc6cOYpS9l6IctLHjx8CAFy4kKNMnQcAGRl8fLEiCwBiBDqdU4hkU4clWeDMmTP4z3/+g5YtWyIp6ZCnLAOvvvoqatWqhWnTpin7QAo61/BHSSbYsJOG4Pz58+jbty8aNGiAsWPHYtas/cjLi/QcY6iAZGWFWdqCGHbu3Inu3btb2DOMDsjhcHnnQLq0MJRs5nCox4F+/fph//79KF36Hm9Z4cLlsWrVKmzatMlDqjOjYsWKCDNNvulYL/Y5JUqUQLFiYsSoL/ibhqBcuXLo2rUrOUMFiOMv70tbt25tIvsCwIULFzB37ly8+eabGDduHNasWaMgn3Lwe6zebk9ZgO/jKw3B559/rigNgyqdzerVq3H+/HmhzOWyJguIzjJxe0GkPbVKAcT6qgsXHFdEWUCnUvfPP/8oStngblYg3bVrF86fPw+n04kzZ87g8OHDuHDhAvbs2YONGzfip59+QmYm70B0Cg4czK51EXxuGaeurBesXmf5WdLT8cYbb2iPUNmTVfYXlbKAvL+oLMB/EE+tZd3/MwIxg05Z4OzZFCxdutTyXJTgfOaMoVJICYf5XS87HA4MGDBAKmXKAqJTvGTJkgJZwB+HdHJyMsaPH49atWqhbt26uPPOO3HrrbdiyJAhOHTokN/19oeEH2wUVrJF2NrzFtOWxYsXK9f2TqcTixcvRrNmzQImDOjSEFxJIn8IwUGILBBCCCFc81A5lawWiFzKmw9Q1OBkTkMgHv//jSxw6dIlPPHEE2jcuDEmTZqEVatW4auvvsKYMWNQu3ZtvP/++8pIMGp4KFWKGraZQS0abEJZsWJFbw5pGXLaL1/SjyEUHFwutrKjM9pdABYCWArgB08ZW5RFEflhNdgiOiZGVBZITPR/CmI3DYFMFqDKAnbSEPBFhjyjZYZD829W51gzQNMQ/O9//0P9+vUxcOBAZGUZbeXkyRQMHDgQ//xjOPhVjG9rZQG2fwapMyMLREB2LqWnp5vaNL0f778/Cnv2rBK2//DDErRr1w6HDv0GwD+yAN2XkwXU+zLbLDVuB0IWYI/D4XB73wt6X/1dtLFnSA28Dgc3srPFO13Ec2UBmLb5C1lZ4NIla2UBAHj22Wct5do5xJdLJ2Uv5+OkTjG6TtWlIZDfYaoQJOdQVl0jMxOaXNEbYbzvrU1bzp+/pKyTnIaAvQ86Y76OrJOVlYVFixahd+/eaNeuHbp37+6NtvRlvAeslAXUGDhwIEqUKIE6dYyKO50OHDhg/Lhy5XwrC7AqqeXn+XdqaFFHxrMxX47IZfXiJXLki6gsIKYhKFHCbGW6807/LAtXSoYyLy8PGzZs9v7/xx97lOOAOtqOGQwLA7jPWxobWwStW7dGq1atFG2XKfsUgqzc1LFjRxw5wu/lAw/wDu7oUStlATNJhr0TuiGN9t1RUW44nU7J4L4O4nshviMqZRuKpKQkRSntsEWjWEZGhjJ/rDxGnT8f5jViqhz67P3MyXEgL89XGgIVWcBMdLML1tdYGVn37t2Ll19+GbfffjsqVKiAO+64A8OGDRMi23ytawCxzT/00EMYPXo02ZOSP8U0BNHRaq+CiozN7l10tG+VBStlAVm1gJIpWF/dsmVLFCtGPUs1wKNfAdnJ1qdPH1MdOnbsKJXEgDuLmHOIkwXatm2r+CWBg/XLunuVk5OD33/nss2bNm1BXp5xkE5FIi/PQcgC5neSRZkC+nEPAMaNexNLlizx/EfHGGMdcO7cOXTp0sUywpKdl80F/FUWkMdv5qSl6wArZQFz2ogbwEm0IiHA6TQi9Y8dS0LNmjXx2muvmaR56dzFF1mA9ge6NFbZ2UbqHQb6Hpw/fx4dO3YkOdNZVKxBMsvMzMTo0aPx0UcfWdZDdBSbn/fVSEMQGUnJAkZ5SkoK2rVrhzVr1pA5VEvPZx4yM2d6j7dSzWEYOXKkj2hRo+N3uzNx6tRJAPzZyOQtOepdTl3DEBVVFKmpPGDC7S6OJk2aWM7HS5cujdat5TlsWfJddGZ2795dQS6whr9pCABg/PjxaNasmee/qtIZjX62Tp06+Pjjj4UtOTk5GDVqFGrXro2hQ4fi448/xqRJk9C3b1/Ur18fixcvVtbRaowG9KRWHVnASlnA7XYrHGZhAH6FMd+qJmzJzc01rUEyMx3etqtOQ0BtkdKVpHl5MGCVAoinIXAo1fKCAVWKE/M+qkUmC7joDTGFBzB58mTUqFEDFSpUQK1atdC4cWPcfPPNaNmyJbp3746OHTuiQ4eHvPv7JguwPtQNgDlES+l/FADeFkVn9ffff0+IsiLYs6fPV63Ew+Ya5kk3219cj/LvrN/0Ne8sVUrcrlv7/fjjLwqbbxQMlRM29+aVWbNmhad+dDzLvx23R48eeOqpp0iJWVkgJiYG8+fPR2wsXw/ZsZkBwJ9//onmzZtj4sSJSE5O9pZnZmbi888/R/PmzbFu3Tq/6uwPCT/YuOeeexSl7L6Yya2+VGn++OMPBZnYHnSktFAagusPIbJACCGEcM3DX2UBVbSFbHByu/nC/P8zWSAzMxNdunTRRnplZ2fjgw8+wKhRo0zbqCH5xRefQ5cuXTwSwVw+Nzy8NB599FF88803Stk9ow4hZYFrByqygBtATwBdwCXSuLJAfLw6jy0Di+4rWtSF33//DmFhhiVg3LgF6N+/P7Zs2WLLqQaIfQGN1vHW3idZgDPtrZzd/Hh5RsucGGUho3x5/X1gi7nk5OPo3r07UWNg99EwdLvdxqri+PEj3mPtMHFdLhaZepGUUkaw6FgqUaKEycgkOuQvgUteMxgL5D/+MKTpZIlnK+iUBVSPnT0rShbwNzcrQOW1uaEgP7njWH8nSzZyo6K4H8AXiWyfQBeKLpc6DYGVsgAANGjQAO+8847P8/fu3U34X08WkJUF+HdqqJANRDrnLf1NOrIAjUrNynIo+opC4M7W+yDD5QoT6sDADArsHjLDmT/KAps3b3cUHjUAACAASURBVEb9+vUxaNAgrFu3Dtu3b8fGjRsxfPhwVKtWDeXLl0f79u2xdOlSLZmIGmbbt39QuQ9D//79MWSIIQPNlAUo7CkLODyfxv/UsCdHrjJUr15dcUY2np+SypmyAC9hhnT2jujIAgsXTkOLFnUgqxXMmzdAo26gBlWyCKYRlmLBggW488478eyzXOZ8zpzpqFu3rpQXG2jSpIkip/L/wMcX7njs1asLIiMjUblyZbRp00Y6Jpl8546DmJgY9OnTx5uCAAAaNcr13mcrZQH2WorOI2bQMXKXrl27FvPmzcNXX32Fs2fPCs6ewoXdOHLkCI4fP07OehlAAvlflGz/6aefLJ030cpQ9MPk+23ClrCwMEQpwhDlcUNUFlCRBXjZ5csOH2QB45OSBeR0G/6APSsVocztdmP8+PFo0aIFFixYgOTkZOTk5CApKQlz5szBfffdh0mTJgGgaQjUEYyAeQwbNGgQli1bhubNm4MqCxQpUhnNm/N3UDcuyNH/AB/zfaUgAIz2yhR65LrTfnvatBkYOHCo9/8XXuiPVatWoVChQnjssYfJGeV+lLeVChUqoHPnzqY6dOzYEXFx1BlHHQciWSAysizKlDGre+QHnCzglsrdmD7d6FdmzpzqLX/++UH46qvVnmPEc7F7lpNjvPMAn3dR0DHXSlkgIYESR+nkmg+KGRkZeOutt1Q/zQuHAz7JunTcoPdCvi/MCSaqFQC//fYbpk2bhsmTJ2PFihVeEpE5bQSdr1+UtvH1TVpaGmbMmIEWLVoIUuXUBiGTKGVQIiWdp8lpjnTKAu+++y6OHOFrAoClHRCjysePH4/Dhw9DBzrXUOUVvxppCAoXpunYgHnz5qFRo0bS7wUMRxVgOHH5czh82Foyeu/evfjtt9981Ig9oCyvchUnAavrzurMxgzZbnHsWLjgmL982WGZ1oJhwIABEqGArjW5wyc6OhpPPPGE7xNK8DcNAWBErC5atAijR49GiRL1hW0xMbdj8ODBWLlypeCwy8vLQ9++fTF9+nSlOseZM2fwwgsvYNq0aaZtVqmCAHtpCESygPGpIwuYHaNVANwJo309bDpGJs/StbC8RgLEMUx2WrP77o9kui9YKQuwPj89Pcw7Xwl+GgL+XTdnqF27tqJ0GIy5/w0ApiiPUxOXDaSn8z7+wgUxItrMqaEEVja++yILiGkIGNxuN37++WflESp7cqlSquuwdp5s2sL2F53OYt8C6JU4+HlkZQF1+09KUkWTvweDlM8IaXwgO3HiH9P1g0EWcDgcePvttzFp0iSPYglXFggPD8dDDz2EdevW4a677hKOs5OG4MKFC+jatatGut/A5cuX0b9/f+zbt892nVVpD69UGoJevXpJJJwYcJuur3dbjcWLF2vI29agv1PliwmlIbh+ECILhBBCCNc8VBN8WZKZgk0QdGkInE7r3IB8cvfvH8ymTp1qYyENzJgxA9u2bRPK6KKzZMkYfPLJJ9izZw+eeuoxb/n33+/GjBkzUK6cWVaMwUwWsFn5EIIOvgDxRftki/9wn5NftoDfvXsLunbtApfLWFikpMRg1apV6Ny5Mx5++GGTtJ8K9F1R+RN0E1GqLMCMCFZRSKwPoQZsA0x+rjhkiUJRqlEEczRu2rRGchpyo6QBYzX400+bvUZOnYQ7RUQEMyLRPNf0u0gW6NDBnHs4KYkadGSyQC54VJ1hqExLs++IU5EF3G618YwZMKhxOzBlARY5rWN4+3dOdj5ZvtpKWYA5pHikbmBjyqVLDiHqDDDeX1/KAoDhYJ43bx5q1TLnO61ZsyY+//xzdOggOiVlRxODVRoCOT0DBWeTi7/B3zQEWVkOhcwpZczHQkaRIsWEOgCGBOb584aR4K+/DmPv3r1KZQHZmE+xdetW9OjRwzINS15eHn799Vc8//zzaNeunXLRTZ9hr15dsGbNGnTq1Mnr/IyMjMTDDz+MlStXYvz48V6ST6FC5xATI0ao7Nu3TtuPMiMlm/uo5OdFIyz/3r17d+lskeDGh5PSdVye481OVBVZ4Nw5PgGbNGkszp1LApX5BFLw668L8NBDD5HISmvQNh9MIyzDhAkT8PLLL+PUqVMQU9LkIjk5GaNGjcKYMWO8pQ6HA3PmzMFtt1En9yUA2z3fb/eWPvlkb+/38ePHS3Mn+v6U8Z77o48+QmxsrFdZICLCSPlTpYrx463TEOiVBbKz3ahduzYef/xxDB48GM888wzq1q2LceMmevctXNityfdO09iYc4yqlAAYatSoITluAcNBxCaddYUt99xzD8IlNlBOjuiUAoCUlDASGWq+rqxicumSqHpBwd5h6gexkztWB+ZElOsMAB9//DEmTpxoKmdwu90YN24c7r77bmRnG/fI7EDW988AcN9992Hx4sXYt+9nhIcbbfi550ahTRseraeTK6bXYu3NH7KAwyE+D12O54SEtcjI4AuP7dt/QP/+/dGtWzf07t2FnLG5dAXjXYqNjcUXX3yhJJYULlwYM2fOJFKu1LjK+nhjDuRyFQ86CYn1y9SZ5Ha7MXr0aIwaNcoT+Sam4sjMNCaWFy+KfT7r/5KTw7zzBkq+dLvd+O2333DyJM+bvHz5Qhw4cACAinjo0nwXJ3AbN25EYmKi1c/0vg92lAVUuW4ZVGkIXnttPNq2bYvRo0fjrbfewtNPP43atWtj/PjxCgcNjcKTUyjI83JDrrh79+7eKE9KFtARHRn0aQhEMqJolzC2paWlEVUHBlFZgMHtdmPMmDHaiEG6Zqftiqc6s/wZQQOb9xcqZKh+sb701KkLGDx4MC5cuCAdUQwAcwhtBJ1zJCTI6WpEqPNuNwCwD8DLnv95Oooff/wRgF5ZQE5HpotaP3zYPObaSZnQqFEjTJgwgRAGzGSBqKgozJo1C1WqVPF5Phl20hCoXp/IyEgMGjQITz4pEoL6938TI0aMQExMjFA+c+ZMW3nmx4wZY1IksRqjjbrydkPfWbpOpOMO6yOyshym+WBYWJjiPtIUmneYri+nkdCRFPg11N/T09Nx6NBBT92ysWfPHgQDVsoCdJ117lzBkAV0EuwUKnUf4C8AH3q+twJgJvVZg9/cjz76UCDsiiSNbIiEZDa+WzlUo8Gd1SdNW3Xpath16XunTg+oVi0ADPUnQK+MyC7tKw1B6dLiGlu39nM4VFITjOzMyEJ8HzZfiIjg41aw0vY5HA706NED69b9AEaO69WrBXbv3o3Zs2cr057YcUgvWLDApBakQnZ2NiZPnmy7vmqlNvVzCzbKlSuHYcOGkRJqD+HvtlqN5i4A4yArEOTm5uI///kPOnfujFGjRmmUHc3QqRhd6ZRHIeQfIbJACCGEcM2DGhUYg98qqpUN1jplAZdLZPDrInD+7coCeXl5mlxtasyaNUv4nzrb2ASgdOnSaN/+HlLuKweYOe2ALuI4hIIHm+CVK+eLhcqNhCrjNsXFi8bDTEk56ik55vms6t1n27Zt6Nq1q3bBxcD6Ap20LWvLcttVpSHIzHRoo/VZH1KtWmVpC3VicSNO3bp1cffdd2vOxVm258/Li0w1WSA7Ox0rVhjSbjzqR11XwIgSMEAjpFLJd9GJqopI2bjxF/JfuudczGh3FobCBL+G0+kwSW/q68ffEbpgldt+bi6/9/klC3DnLy/LXxoCdr4rryyQmmr+/UYaAmtlAYa2bdti06ZN2LhxI6ZMmYIpU6Zgw4YN+O6779CuXTuTE0iXZ9KKLEAdbeY0BMZnIGkIqKE9Kwvo3bu3tAeN8BTzvN92220oWrSktw6nT59Gz549cdddd3mjIQ4d+gctWrTA1q2G41b3vtDn6nK5MHjwYMu8qzL27NmD7t27I1uyotBTFCoE3HXXXZg+fToSExNx/PhxHD9+HLNmzRIkBpctW4Z69eohPX2LcK5Vqz5GvXr1FM4FcwSTOg0BbR/83apevbok002jMkVlgVtuMWRbaR8sR1xToldyMrtODnikKjXi/ArAjczMTPTr1w8XL8pRoGbQ99eu3KHb7caff/6J7777Dj/99JPGAW44H9577z1SIpIFGKZNmyZIWMbFxWHt2rUYPnw4IQB8Zzo/JahUqFABCQkJaNiwoadEVBaIi4vDnDlz0KlTJwDwkgWqVHEiIgKoUsV4CMeOWaUh8PwKgWzEXvYwpKWlS/vn4eefuYOmcGFdvvdVAF4E0BeycfWGG26wzLV8ww03oFevXlJpDnhEqUgWUI1ndI3A3rtz58JMzh4KmZhEnQCy01uVhkAmxfgDXY7stLQ0TJgwwdY5/v77b68DOTdX7GeslAUoypUri5JGl4mLFwtpI1F152btns3VfGSp8oIqPdD2u2sXJTPLeaSNeejmzZvxxhuvknLRceVwlEH79u2xbt06TUSjgSZNmmDlypWoW7cuRKPpeURERKBOHWM+mJvrCDqpWZWG4JtvvpHSt4lkARY1dv78WYHMzc5BHZ2MLJCamorOnTujbdu2OHWKkwU2bkxA06ZN8dxzz8EshaxbDItkAbfbje3bt2v2NeBLWYCS9HVreIC3adouT56UnczAxYsXMXHiRETKLE8wWfUU0Eh1A2ayAACcOnXKK50eeBoCKL/n5op2CeZk2rp1q4JYxcgC5j50/fr1uP/++3Hs2DHTNjb2FyrkFpxnnCxwZZUFWJtnfXFuro7U1gI8p/cmGOOg8Y5u32523FGoSWl9AdQE8CYABwxHIABkedegOmUBfRoCO2QBe2b3Pn36YPny5bjvvvtA15msH1uzZg1atmypP4EF7KQhsAoAOH5cnNyfOWNmkLlcLsycOdNUroLb7cacOXOEssCVBYz7GxnpFtqWuIYw/7aePXtKJXqywL333ovKlUW7AJ1rFC1q7itl0lNOTg7Gjh2L2rVrY/36tZ56ZaNly5Zo3bo1fvnlF9M5/IGONAGIazhG1NWRAAOFmEZRvU+tWrW881YRb4GnUPwQqpSPevD29c8/f+OHH37gW4TgMdlwYUdZoC54lPYu09b4+HhTGb0uHddq1KhB0nowqFULKleujFatWgGwoyxgPQ7JaQh0z6lixaqKo9nvY/MivlCuV4+3EUbwCYayAEVyMu9P7733VssANDZPVRHFs7OzkZKS4lWQEREDlWpoQkKCrWAmQJ0G2RcRK5h46aWXMGLECA8hgNr9jOcWGxtrIjsZmA9gJIChpi2HDh3Cli1bMH36dDRr1gz9+/dXKDWJoL9TpbJQECT+EAoGIbJACCGEcM2DMrbLlzcm4lYMbZW8LiUEyMoCsiwYY0b+28kC+/fvVzArIwHMADDEtP/69esFpq7KKQaIzOVU6q/UQGbk6yKOQyh4sAnegw+2UEggc9SoUdX73ZfD+Px5Zm1mTp6jns+qwn579uzRTOA5uAFavSjSyZ2zeS1VFqDnk8H6kMaNGxBHDaAiC1SqVAmzZ8/W5qIU32X5ZrGNLISCLcBysGWL4QjkjlY9iYYZoUqWpNM6ajjlxo8xY8agZs2apnMcOkT7AmaMPOr5pAtY7qyzm4qAGS+KFHEJzgO57VNDDs2xmx9lAdo36YxM/pxPXpAz5zLbrkoNkF9jrEpJJz2dKwuEhbm1Dn4Gh8OBOnXqoFu3bujWrRvq1q3rfWdlwpxdsgA1gtNoWtmpZCcNgUq+U75GRoYDrVq18jhzGChZQCTFDBkyhMju56Bdu3ZYv369Zyvrl4yHc/Gi0Tazs9O8x+uUBbZs2WIp96vD3r17vSQg1Xmp8cbhcCAqKsrUr6xevRrPPfecx6i9U7rCSWRlZWHAgAGm68gkSOo4YLBK0/HRRx8RwgIlC3BjfcuWLXH33UZ/SZ+1nMudtqGkJPb7+H0XyQLccJqamqrNc0vhj3HG7Xbjyy+/xAMPPIB7770XXbt2RceOHVGzZk0MGzbMJFM5Y8YM6QxqsoBq35iYGAwZMgS7du3Cli1bMH58K1N9nE5xjKhSpQrWrl2L9evXo29fHpHUs+cr2L17txClxNIQ3Hij8ZArVzYecmKilbKA51eQn7F+/Rqyh4qFxBt7ZKQTlSpVQv369RX7TQZgJqR26NBBk7OWY8CAAbj55pulUkZS4O3/wQcfRLt27UzHU0c/U1hISXGYnD0UslOBnSM62ty/sn1FsoD5PHbB+hrZyLpkyRKNw0tnwjEqmpCwSpDspcZyH7feK1ebkuLQSpcLV5SU2wD/lAUANVnA7XZj9mzahsLB50oAlcHfvPkb7bmHDHkXc+fO1aRTEVG/fn1s2LABI0ZwgsbQoU9i165deOYZrh5l1/FnFyplgc8++0zaS00WAJxCX6Mav+PiXMjIyEDnzp3xv//9z1NK5YaNe7ls2TLMmPGJdLRs2f3H82keA61zw/smC1Ajsk7KF+BrgIsXKVlNjLSnOHLkiBRR19TzuRWcCMvA+uAbwO+xgQULFniuS1WR7CsLiLmMxfW0SvEwLY2OiwxsTCoC4CXT1gMHDqBTp04m1SOVigytx5XKI8xzbBv/X7jAfo8qlLwH+BiSAWAbjOdlzDvS0oorjuFQO5XYnLEojJz0PA0B25/1R3J/bE5D4DlSckL//XdgygIMzZo1w7JlyxAfz8e6li27Ye7cuZaEJx1cLhe2bNmCt99+31s2ffrHXoltMQ2BG3v27MHKlSvx9ddfC/nYjx8Xf9epU+Z+cO/evQqySgQMR9Qjpv1Xr14t/M+6EB3pThepy8ZreS1B25/Kx9W7d29JeYSSBW4X9h00aJDpeF/KAuL6yolevXphypQpHpUS1uiN+7pz50506tQJGzduNFfUJuykIQB4f2BFNA8EdtIQAMaawmxnSgfA8qRXBLAGwGsA2sGIar8bwAMA2gD4D4CuALrBcIbS9uXCwoULvf/RNDbx8TGoUaMG2ddMFmAOeo47yfcdwpaSJUvigQceUP5GNobJ9uSPPvqI9E3R4GMXtzFFR0djxowZ3rmyKtghN5eTe3yRVM1pCPh32qbuuKOupBTigJkswA/u1o0rQPB+kx/N0jR88skn+Oijj7BixQqfgUEykpJ4P1O2rLVxnr1zly/nYf78+Rg8eDA6d+6MRo0aoVKlSrj11lsVaW6KAPgTQCKAW4QteXl5ttf7nCzAy/Jjd/IXDocDgwcPxvbt29G5c3+ypQjefnsidu3apSC2FAP/zXXhC6tWrUKfPn0sgyV8kdJCaQiuH4TIAiGEEMI1DzrxZTl5rdIQsEkZNTTIMpn20hAEVN3rBuoIvQ4A+gP4AJzpaiAzM1OQN6SDPV1s0MWISU1QARXTW1UWQsGDPdPo6EKYP38+Nm7ciD59+qBhw4Zo2LAhevbsiW+//RYvv/yc9xgrBrHL5UZmJpspMqPXUc9neYiOFmDOnDmKnOQcdskCcmSESlkA8J03NSoqAsuXL8egQYNQokQJ0IVcoUKV0KNHD3zzzTeoVKmSts7/x953h0dVdV+vmRRCEiD0CNJBKdIFQZogIk2kKVWQagFeioKA0hUpIghIFUHpiMgLGgQUBQvSq0qVHmpoIYS0me+PM3vOPueeOzNB8Mf7mfU8eTJz7525d245Ze+111LPjx5IpXNCChx0PlK8la18omHHxqWkfa1aZdG1a1dPFZVqQ5A7d258+OGH6NOnj/E7kpJ4xIDIAiT7zav7ZLvBZZp9gYIpWbK4fVZ58JwIl83VvacDgUlW/u/IwVEASw+s0OSYvo9Pkmnff1dZgCfVCbduObzBHkvRXDqhB4/tKkh1b14uExqIsoD+XNLvypbNZUtQ0Kt9g4KCsHDhQhbsMZMFRo0ahWbNmnnP+YkTR3H27Fm2rUoWoIrVP//c502y6TLBhB9//NFwpNUB/AjgC4iK6sehJxoAYMGCBcp7fk/4C9olJydj8ODBbMkubQuZuB86dKiiYiATcOp+Aw1qREZGYv369ZgwYQJy567I1sSiRIkSGDduHBYuXIhMmYKUz6elyTaQAus8URsbS6/tyAKq/dEXX3wBf+BBNV9BCbfbjYEDB6JPnz74/ffflXUJCQmYP38+GjRo4A0UJSYmYt06PSlpTxbYsmWLRz5cRXBwMEqVKoWQkB1wONQK8Jo1q2LEiBGWSpaKFSti/Pgh3mezQIFKCNVumBMnRHtcpIi4fylJfuWK00dfpyaQ4uLisGcPr2wzZYilNMTu3UK2uUePHsbvN6F79+5+t8mWLRtWrVqFypV5kJbIAoUBRKFFixb45JNPjLKanMhWuLA4D6mpDq9Ki9mGQL5OTHT4THjTtikpUqFIJ8WkB6YgKyCSB1b0B3AbwBKoxB2AQjtnzpzA999/L5cqygK+jyV7dlKDcmrKAubtVWUBcQ7SSxbg14Paqv379+PoUS5RHQSpLOCC+rzZ694mJ1vtafwha9Yi3te9erVBdHS0QoQ29cl/BzTfpHN56dIlg+0K/70qWSAmJsabqDf1pXnyuDF37lzs37+fLeVsbnn+9u3T1QH0yXBjiCTuMujIl0+/H1XQ2D0QsgBP8PDX/HuWLPkcMrmvKkrokJ7qOSArhn8ybMkTGaq6ACUZeOJXHxfpsFMW4M9hUpLDGJcQ8w4dSwFQsmMSAGuF7unTpzFtmur7Lft8vcJU/L9bm6z0gsbSNA74/XeaX/BzHQFgPoDFEIk0F0QRA1Up0Fgnv899NW7cmFmLELhqSAVwskDr1iLxRdfGShZQj10qC6h7IGUBnqBLb5vhdgPXrsmb5NYtg/deALhw4QIaNWrkIQrJNmXdujWoV68eevbsiZQU+QM++uhj1K9fHz169EDXrl1RpUoVvPjii9i9ezfOnFH72nPnrH2v2ZprKIAJEPeu2h7HxcUp8/70KAuYyAJ6n8PnnCZb05w5c2LRokXIlo2IJ/yZywa6xwYOHIht27bhP//5DwYOHIgVK1bgzp07yljDRHrm/ePhw4fwww8/sLXU4MmNkpOT0aNHD1y9KslcZ8+exfbt27F//36/hCzfNgTW47OzsLtbqARk++/OnDkzPvvsM4PCwBcQCiIAUAfAexCkgV0AfoVQ5FoH4CuIPmgphJIVvxddCmGFX4Ns2YKwbt06DB06FPnz54ckC+RCvXr1sGLFCsyZM0cjkDzu+X8KqsIX8PLLL1usjY4cOYLBgwdj82ahHrZz5y688sorXtWIggULIiYmxqIeQkSwcuXKYc2aNQoJ12QTx2ModrYdhEBtCIKDM2HgQF5hnhNyHhAJMQYT7VJQUCqiorJh69at6N69O65dE8c/c+an6NatG6ZOnYpatWqhWbNmGDlyJN577z2vPdCECRMUQqsvXLwYOFmAxj9r167DgAED8Pnnn2Pz5s3466+/fMQXn4Ygp4RCtShKH2g+ZWfF8U/J7xcsWBAtWrysLGvatDMiIyPx1FNPaVtzQpTV1sGELVu2YNky6/iPoNpJWduDf4qYmIG/jwyyQAYykIEHHnxwT2QBXxWt1EnZVdIIWXD5/t9KFjAHIThBQJVai4iIQAgbUXJlAT4Y4JORwJQFTMsyyAL/F9AlicuXL49JkyYhJiYGMTExmDJlCipVqqQE1X3ZEJw8eQGyMlEnCwRBDM4ljh07ZvT1JtC9YkcWsJMfo/spIkIlC9gloaU6iZjQDhs2DPv27cOsWaO924wYMQMfffQR8ua1ypZx+CYLkPxpCYiAlSQLkGezWvFh3ge1h1FRDowfPx779u3Du+8OgcMhfsjzz7+MvXv3GiTcJbJm5UFeKr94E2IS1Z+tk0m99CoLREa6tcCNuh1/7nmQ7e5sCHwrC6Rn0paamupN4jid6gf1oKKqLOBW9qtLmgYKbkNA9gzx8U7v9/3dYE+gNgR2vt2AP7KAeYJIpD9fnr9csp4CstHR0Vi3bh2GDx+O7Nn55DYKTZs2xdq1a/H6668DkM/y9et60lYnC4R69nHDm2Szk300S/ANgghstQYwBcKP/jfoU609e/YoAQuTnY8dvvnmGy35zMkC1yESiAJXrlzBN9/ICnEa19D5uJugRlhYGAYOHIhBg6Z4l3333UL88ssv6NatG4KDgy12BzyITvcI7z8SEvT+AbDaELA1AfhMBmpDMGfOHL9WTGRdkZycjB9++MEQ3OIqLdZqGVPg3OVyoW/fvnjzzd5wu39W1t24cREzZsxAw4YNce6cKrHsdAI5crg93+v0ftemTZvQr98oXL1Kz5PoQwsXlm2onRWBnkBas2aNpm4QCpGs6Q6gkGeZfCi//lqQN1q1aoW2bdsa98ExePBgTa3HHvScf/nll2jZsiWKFZOWCJMn/4A5c+YYEkECnMjGzwN5uPNKdoLeN0mSm3UywNs+GgPpdhvpgV0la7Kx03gNImDbDsBhiIpNaqzo5ncp8s78mfDXzuTIQZL1DnBZVRvxJGWMQvMmPuYKBPx6UGJYeDjz540rC+jkAP08XUZ4uHgO6LlID+gzmTK5vX0Qn9vcL7IAnWMTyUglC2QGJwukpqZ6vd51pSAAyJ49xdDWmckC/m0IDkEkaNTGNTo62iCvrOJulQX0MQndV19++SUkuZXIAk8B6AOd6HT16lUMHToUefLw5JTa/nq2ZK9VaWpS+qGxb2ioGzZNEGJjYzF27Fhs3iztaN54ozdWrlyJlJQUOBxyjGinLFCjRg2DZcs1AI08x+kEsAhANcv+ly5dqiQW+byG4/9KWYCe+StXzrC19HzPgrALAAQxoJ5nGUEQP0NDi8AXoqKiDP0Sv6YVQWSBTJlcXqUeO1sYqYog1lNbr8csSFmgYkV5Um/eTF87dOuWQ5lfX72a/jbnxo0baNmyJSOdWcmNX331FV5/vad36YUL1jHLDz/8gKZNm+PcOXnfA0BsbJCieHf27FlMmjRJ+3Q0xPgYEP2WSq6PjIxUFLSk+o/5N6kEevk5Tkrn4H2QnZrg448/jo0bN6JDhw4IDs6jrCtTpg2qVauGiRMnYuLEiVi6dCkWLFiAXr16Vmte4gAAIABJREFUoXz58oqFn1lZQL4+fvyotlZVFiDcunULy5Ytw7fffotmzZqhYsWKaNKkCZ5++mmUL18eo0aNsiFlqL9R739NxKb7qSzgz+LA6XTiySefNKxpC6Fy+gesyjYmPAmhEkJwK+pVfOwSGSnuuf79+2PXrl3o1audZ012LF68HHXr1kVkZCTmz5+PcO8ElMgCvHACqFevHt544w1l2dy5c1GrVi3MmzcPycmi/U1Lc2PVqlVo2rQpBg0aBJfLhQIFCmDlypWYOXO197MvvlgHMTEx+O6771C+fHnle1UlGhpzyvXptSFQCynk8pQUB1577TX0709xH70SPSdovhwW5sTw4cPRrFkz/Pe//wXFuNLSQrBmzRqMGTMGhw8fthzL9evXMXHiRPTo0QOuAILtqrKA7995+bJQG0pNTc84nNu6qM9/cHAwihYtikBgsnVTLV7ScUh/E7r6FfUfHTt21GyZuNVKIegESTt8+umntuQLOxsCO5XJDDy4yCALZCADGXjgwQe+ZENw/bq9JLcpCM47K5fL4Q0YAlaygJ1s1P9vKFOmDAoVKqQt5YxvdYDI5W4Bs9w2IIJBFOwLRFnARAzIUBb4vwElDvxJmvPAri+S+5UrPNJCFek8MGStCvElT0ZtgV0wXioLqMu5sgCfzNsHLB2e7+PJ0Mxo0aK2d1lCgu8qJkCwyydMmMqW6CeLKiWDAJSHHJYlo3nz5gACkzCjwCVVNeTMmROvvNIT2bOL5fnzl7FUoeooVoyqhW9ByrLegWDx8+PmygLpJwvwpLIvG4KICDciIlzK59MDUyLdLvlrh/Pnz2PIkCHIn78AUlPFtZk6dSLefPNNHDt2DIAa7OX/xToo29wLG4ICBcTNLZQF1P3cLe7WhoCCE9u3b8f77w/3Lt+06Vt8+OGH3oQH9cV6AloqC/iqPjHfL5GRkejTpw86dhzgXZYnzyOYP38+qlWTgXP5zOjZbzNZAEj2BD3E2IDuH35dzR7tRHzibd7jEEQgCZfLpQRH7Ox8TPj5Zz2xcQ4AkavOQgf37KRgGVX++gtq+JrMnz8vFSHKly+hBHr1YAB/pqndNge1OFlgKURCagrUxA1sk8McgfyO1NRUfPyxLrdtxvHjx9GvXz907txZW5MFQoUJENdiO3REGEzbp0+fjqVLl3refc/WpIGCxydPnkTHjh0tgTRSXLlyxYnNmzejevXqaN26NT766GvvNhMnvopOnToha1YZTD51yvpQu1yyr6N7LzY2Fuo9HALhZTkXIikFcLLAxYsnAYgk2kcffYTBgwezCj2JvHnz4sMPP7QEVv3B4XCgdu3amD17NtatG+ddfutWcZ+fMykLcJiq/3UVE7vkg74tkd6ksoDPQzOC29nwuY3ujywCtbxNiYSo2CTFC5lA3rNHeuvyNt5fO0PKAteuOS3KEyboym3A3dgQyNeyDUmFmqgOgqgKB9T2AhBjFn7fbsbt2ycBABcupD8ySYHV7Nld3raTk9rutQ0BzUnpXIaHm6qI+di5CPi1BmRbo/ff2bO7cOrUMU1ZB1DbVj7GUzOk2bMHpszQs2dPv/YilLyytwCTy+3m8OJ7xH9BLiYSURaI+yMGwgKlNXQUK1YMrVtP8Xx/Crp2LW+wEOOENFUpoWzZsgDkmCxbNjOJ5vvvv0f16tUxefJk3LkjVWJ+/30XXnvtNTz//PO4evUqQkIopnHbGJeIiIgweKoDwBEIGe4kiOD+Guhz9mvXruHPP6UyB40/7ZSf9MT44cOH8fHHH2PUqFGYN2+exZLnbqFL+avqOtR4kjz5zxBzo83atwgiXVJSbvjDiBEjNIKaWVmgYsVHvfMke2UBIjp4jtarLKAmrSm5VbmyHHemx4YAAC5fVre/G9LT9OnTcfQoT1Dziy/bxY0bv7XZRiIlJS9cLnEMRIJITJRqPadPn0ajRo2wc+dO7ZOjoHrPq6qV9erVU95TTMFE6AP82xDo5D5/ygKEIkWKYMqUKejWTbXhjIvLi99++834matXr2L5cnnuTGMF/rwlJenVMXSs1ms7ffp0vPTSS9i6datln9OnT0eDBg0UiwgC9b2ZM1vtk0zE7HutLOCr3Tbh2WefNfQbVwD0hEhkZgFQBcAzAGp5XpeDkE7n5LTn2WsXKlaUCmi8jc7C3GqCgoJQvLjs3zgJsHr16li7di2qV28AgJTsBEE7KioK/fr1w8KFC5XYyhdffIGhQ4eycbuVDDJ//ny8++673vdhYYW9r/v1a4cqVaoYbS1NxQ6cTJReGwJ+yh0OOUZMTRXj7qFDh2LDhg2oVUslW9Wv3w6tW4s+KS3tDmbOnMnW0jgiMLnD1atXY8aMGX63I2WB8HC3TwLqzp07cekSWRP58dtSwG0n1AKgJk2a2Mz5rTDFUNX26p+Lbev9DfUfuXLlwujRo9maMlDB5xcOADMBzIZuSXfw4EEbUqs67zYpWPyT5yEDfw8ZZIEMZCADDzwoEBca6vYOdtLSHEbvMYDbEMgOmr/WbQj0RIkeVP//FUFBQejSpYu2lAd51SCJLh3LJ2mq17JM/gSmLGA9z0aL1gzcdwQSGAbMVXUmZMrEAzkU3OU3hRqEDAoK8jkoD9SGgA9UU1LkwDQ8HIiM9C9vT5/XJ7pOp2RnX75sP4SKj4/Hyy+/jBo1amDx4pVsjR1ZABATYIHcuaM88nT+q31dLitZgEDvAwlsO5307Mf73I6TBQJVFqDrZlUWsCcLcGLHvVMWCFwObv/+/ahcuTLGjRuHuDiZmEhJicdnn32GevXqYePGjZagIpdyvVfKAhTAcDrdiI6WBAra171WFrCL9+v3V0hIKvr06YMmTZpg/fpV3uU3b8bh/fffR5UqVbBhwwZbGwKazEZF2TPzgoPleTSRyOLi5EMaH2+NTMm2QE8YUYCakjKSLMArdmjfPGj8/PM8KEWgQP1cqFUKKiGqQIECCGINi52djwlmIhX5T/9hWcO31yv+/dkQ+JrMx3piMXQvckhPQjoGazDLP1ngCIBSUBVNBDgRxA68zdTvOcLmzZsNKgVOCD/UPJbtzfYHoyGvb19wZQcAKFq0KB5+WFXPSUpK0oJrm9hrtYE4ePAgNm3apCwjKdEjR66hTZs2zHuTB3iOYt26dXj11We9S95+ex769++vJJBNYzghp8obx1CIqi1AkF+ckAmdO8icWd60TqcTb7zxBvbv348ZM2ZgwIABeOONN7BgwQLs2bPHp7JNIMie3Y2HHxY38MGDvgOBvG83kQVM1i06WcC3DYG6rfhvXRcoeGKEWxFYq2Krstf9IdVFnvaskwlk7inKE/qBKgvExTksyhMmqDYE4n/6bQj4fE38L1KkCNSqQickKYsnzgk86bgZJBe8e7dpW9+4dk38KFLyAHBfbQiIIELnslChQihcuLC21XHIZ7MkZDA8FRUrVkQWTxZEH7fmyeOyUcM54fnvgiSdAXo7NHfuLCPpieP555/3qvn4QnqUBezUAQGZABSkCq4s0ByyfVK9h2n77dtFm1W1KjB+/BiDP3Use63Og4kwRmMXU6Xu3r170blzZ9z2TmT5uRf36I4dO1CpUiUkJIj50Jw5n6Fjx07erbjtwqBBgyxVpgI/QVbf54ZIrqngYwB6lvXnn8Y4NBY5dOgQmjdvjpo1a2LYsGEYOXIkBg4ciAoVKqBHjx62Fc2BQvekf/jhHGxtGARBjeaB/4WUCecQxJebN4P9xgsiIiLwxRdfoEePHggPj4BKFqiIyEiRHMqTRyo46CRg/dipvaL7kI9z/vpL3rjlyqV6x17pbTP0OebVq450FbEkJydj8eLF2lIzWUAgxbANR2Hvq2rVZN9CVgS9e/c2EEpKA+imLVOTcV27dlXe6+oNOkxy7IC9skCgZAFCYqI6OLhwIYfNlgRx32TK5DKO4dUYoz4WoR9gPed2iTjCmTNn0L59e4v6EJ9vW47UYJNw75UF3MbXdoiOjsZzzz3nY4tEiIr+7yDIQzsBHABw1PP+kGe7puwzLoXcy/uSSK3Og/fx1O8TypUrhyFDloNSZl26lMP8+fOxf/9+vP322wpRICUlRUvCiuPwHIGydObMmd5nhT/npBxogml+ppIFbD8KwGpDoF8bfe4GCPuz1q1V68rXXhuGnDkf8uxfjxfRGMyPJwLD1KlT/aoLEPkqTx6XrcIVAMybNw++nikxRtCVEh6GJIMAvH0KDQ21te7U4XJJ0qdq6yBf/5MV9VaygHzftWtXTJgwwUO+18kCXK3xaQCvQowtrOMLskvVwefdJuLEP6mwkIG/hwyyQAYykIEHHlzOklcg2iXAqBPiHZRe+cLHJfrA499iQwAIn9natWuzJWZlgQEDBigsXUCXT1a/l65TIMoCpgSQXdVJBu4vuOSsL/BJiV55weF2c/lME1lAtcJo1KgRIvWZHEOgZAE+UOXBgfBw1YbA3sdZ/DclTamy044skJiYiDZt2jAJcD5p0skC5yAY9AAnC3Ts2Nbrw+xvopGQIJVS9AptSsIGUtFC5zYszHcWvVIlWdEZKFmAB3ECVRYQxI67JwtQ/IRL7QWi0gAI6fC2bdsySwwePLrjOdZEdO3aFSkpt5T9mSrFaVJ+98oClFR3e4M991JZQA8amGSMAWugad686cy3jieyxY2akJCAl19+GZcuicCunQ2BL2UBwN4XFpBy7GK9w+L5LSel+sNz0vO/GAR7nk5iktIG0bnlidVSpUpp/aYDMsBwHjJ4BehWK+3bt1feq/eL7/MQHR1tWNoXwADPn/32+riG2si78VaMjRWfJVsoDp0YYlIWyJQJcDj036pXCpthJThaoUpqmrfhfqYSL0Ek79cHcCQVIaSuAVHJ+qVliy5dunjbccLGjRu1ZMtOyN9u9V1fsmSJ8p4Is4cOxWmWCNQup4Du7fPnj4E8UM+eDcGiRYvQoEEDdOzYEfHx8RpZQPyvXr061GRhKKTVQhiETCURbG57tlcRHh6OF154AUOGDMHgwYPRpEkTxcLq7+Cxx8Rz7I8s4E9ZwERYsSMLmKoFeQJCtyG4O7KAfM0JZ4888gieffZZtuUTnv8pELLcz0AmeV5k26UpqgQqWcD3sVDw/NYtp/c3+SoYV5Xb4Pls+sgCvJ+m76tduzaiozlxJwhSwtofWeBH0NgqLs6R7qpoqpYl4gSgKwvc2zmKtCEQ+3A6nQYlk1QIwgAggtuSGMLbRZ0skDu3y2trpeIXAL0BdIBaTa8mn6pWfRwxMTGoX7++peIxOjoaw4cPx+zZsxUSnB1o7O6PLOB0qhX7PHkOyOdP2B5wZYEX+NEpnwkKCsLcuYuxa5f44nLlRLv75ptvaspb/FzIeXCZMmXQrFkzALJ9MY1dJkyYgCRlIMKz2XK5IHDQ+0zYv/+Ad53bLe+7yMhIrFq1yoakuAySMNgZYizCjv4hefwm1UX+PiUFOHDgAJo0aYJffvkFOtLS0rB69Wo0bdr0bxEGaM5IbXC9elyGPDNUsp71uQ0PD0enTrIa/fx5/+HsiIgIjB07Fr/9dhBqhWQ+hIYWU44H4DYEZmUB3VLp9m0H3G43tm/fjgULZBV6sWKp3nsk0PkSQZ9jpqU50tXu/Pnnn4aEs9WGQEJPsjWCGOcQCntfcbJAbGwQDhw4YKmAF5gA0U7xNkU+lx07drTI0OvKEzp0yXSCHVmA90GBxJa4kpuAnkzTIeIcTqc5caYOAfUxM10fJ1QSS2A4evSoYjcGyLbVFCcJDoZXsY/wf60sAADvvfeehxx4N1jr+S/PX4MGz6BYsWLe96qygPp7s2eX5yMuznp/7Nsnf9Dgwc+gadOmRoWzjRs3GsYZNPZU76nU1FQvkYcS4ZkyuY1kDoKp2IEre6bXhsDOLlCPU1BVPyEuzsHmrfqchQ7I9PA+AzFnUnd89OhR7N2717C99Rh8kSncbjdiYmIgzzntpy/EWOcCBLEwFtIWBVDJ/QDN5TNlyoS5c+faEPWs4PMpOyWvAwcOYeDAgejQoQO6deuGTz75BDdvBjb3TS/0/kYnwnTp0gX79u1Dliw6AZ+TBSqz129BVxew2vIJqDYE8lzYqUxm4MFFBlkgAxnIwAMPGviGh7uVyg67SRN1UnyAzgesOllAtyGgoMS/gSwQGhqKRYsWeXzagqGTBbJmzYoxY8Zg8ODBls/6SnLQdbpbZYEMG4J/Hm63fTBJB6+C8+EaoFXuU0U6Z5CoygI9e1qZqxz+yAI02eHPLr+/IiICIwuYEmkEf2SBOXPmYMeOHWyJL7IAAOzz/JcVgwULymCKvwQ3bwf1iSYFqQIJMNG5KFEiGu+8846lIjZ//vx4++23sWLFJ95ld2NDwAvU9Odc9zenaxXofjhMygKBJkM/++wzLcjGyQJycnznzh2cPSuC93ejLLB161b07NkTjzzyCPLly4dy5cph+PDhrFpYgCZ5UVHqOblXygJ6QCdQG4Jvv13F3vGAuDy5KSkp+PXXLZ7X6vdJZQHfx0+KzKa+4soVdZk+QZaBD50sQPK84RAJULrGyXjqqae8W5mUBQBRDZE/P1WV54IMTFzw/NEkWj5HWbNmtVRX+yLd6WjZsqVhaSyAySBZXo5WrVp5X+v2SqaK4UDJNKQskDevdZDEpSwBXVlA/Hc4rFUwISE+/Gw8aNeuHSpVquR3O95uz5v3GWrWrImiRYuidOnS6NatG3755RebxBYFRiqAS+1b4YSQZQyCIMn0smxRqVIlQ7IPBtnYNEiJZav0yIkTJ5T3uXJRH6cHlokscBJq9Rp9Xnpurl+/Hh06dMDt2/KBpDakevXqyJ+fJ2sKQSX1lYQ8N4k2Etn3D489Jn7bkSNBPpVaqB0ICnLj4Yet96kpoc+V3/3ZEPBEBt3j3O4ovfBl7TR9+nSv/Ln0Jt8PMZ64BmllwckCLoWYlB5lAR48p3GOrzGhqiwgSGzUXvqSjOXgZAmagwUFBaFTJ35/+SML0ImLA/A7ZCImN77++mvD9vaIixM/iiwZAHHNKSB/720IxH9+Lrt27YoKFSpoW5L/76MgskC2bFnQurWU3NfJfrlzu1GgQAFUrlwZVnwMkXDmUB8spxMoXbo0li5dih07dmDmzJmYPHkyli9fjt27d6NPnz4BEQUAlQBqshKUyoDqcv4+LMztvR8FSYKqGwtBVMIRVLJAWloaNm2Kh9stPjxvXmdMmDABFSpUwKeffsoSQPGQBAShLFCqVCksW7bM6/VLYxedLHDmzBl899132q8ykwXU95nAw7KrV69StsqaNSs++eQTg9IIACzw/C8CQJIYq1SpoiTgdDL4hQsXMGHCBMTECM/so0dPo0mTJn6TF8ePH8ebb77pcxtfoPaSnvmSJQuxtZmhXjc1+fbcc8/h4MGDaNNGyo+fPx9gRhJAcnJWyzKSZ+Z9AnFHeFuclibHa9T+02du3kxFzZo10aRJEyxaRB72KejR4xmEhAhlCWsS2jdMc0xqlwLBbaPkAq+S19dzskAdCBLkTxCqFYAkCyThscfkZ8+dc3qtu1TUBUD2ldMhifHRcDiEL/oHH3ygEJDcbqt6gw5/NgQ6QY3364EoC1jny6XZ6ywQJD0+js/mORaTAoZV7l0FH7c/rK/UUBV6gQUAi3qEvziJPt8yqSz9HdhZm/lC7tyij1aJkYFijWXJCy+oFjR3qywAAHv3ih9RqFCasq2OXbt2GZba20zs3r0bAHDpkrheuXP7rpo3KQvw+ZU/skBIiKqOZKcoqJP6L1zQFU6cbN6qD8LtlAWiIK7TVABWFQlZmGEGESpMc05CcnKyp83j7VhBCDu7J6EqmgyFeJYB1YIAcDii0bFjR3z//fdo3Lixz+PisJPe5+3V0KHDsWDBAmzYsAFr1qzBkCFDULZsWXz66acB7ydQ3LxpVabR4XTmQHy83idysgCfbz8MqWQkUL9+fQtZCfB1Lmh9Roz/fwUZZIEMZCADDzzslQUCT/SplS8OW6lD/v7fQBYAhAfwlClTsGfPHhQtKlnkpUrVx/79+/Hqq68a/bP4JE2vbKXJSHrIAumVisvAvQUf3PkLJgdqQ6AmeSkAlQg5oZAT3xEjRhirFDl4W2ACPbv8t/B4ia4sYJeEluok1v0Qs1n3kxSfS8OCBQu0pfZkgZIlS6JyZWqc5AA9PQlunhzVJVHTY0Mgqygd6Nu3L3bu3InvvvsOK1euxMaNG7Fz507069cP2bKFeRMb8fGBDSM5WcCXsgCv+uBkgbtRGpFV9+ZkqB1ZwO12Y9GiRdpSfg3VYO+FCycBAOfPx+HIkSNKAovaRfpPE6S0tDQMGDAAzZo1w1dffYVr164hJSUF58+fx8yZM1GjRg3lGLhcPyWuEhLupbKA+t4u7q97gapqAkmQgRE12nD+vEjs6JLwUjHBd2dL94yZLKDegzpZgJ7lbNn05C+X7S8FYsyHhjqUJLv0Elc/nT9/fsTExKBBgwZQZQ3PQyRrScpYBADDw8Px+eefI29eVYI1PcoCjz32GGrWrOlzG8KTTz7JEozquIYTw/i159fd/vmQZAFfygKpqSIZxNtf/uzrga3mzeshTx6r/D+hffv2mDRpku169Rjkd8+aNReHDx9GfHw8Ll++jDVr1qB58+ZYu3at4ZN6ktwOHSCVYEZDqlQIPPXUU1i+fLmx+sjs6T0LgmCz2u/20nc0F9QqUrIhOKZ9AxGP1KqtrVu3YuVKGeCn3TgcDrz8Mk/QqopSop8Svyt79kyW+/l+g5QFUlIcOHw4CG63G6dPn8bevXtx/PhxuN0qwSxrVjdCQ61tl38bAvvkg77t7dvieaFnyp8crAmcLKBXs0ZFRWHNmjXo06cvJKmQeyiTRUYB75KIiMxo06aN9z1/tgNVFgBkINtX26TbvPH+2p+yQFpaGjZu3Ig//5T2GB9/PNUbPG7blhMgeCLxrOHbKMG7BYAbMjmVHRcupK8S2qQsAMhge3olxffs2YOpU6di/PjxWLBggaXiVyoLyGXh4eFYsWKFpmJDqjWPgghqZcuWVpQ79DktEVx79OgR4NFayQKEQoUKoXXr1ujYsSPq1auXbsUQuh9cLoeRaGxHWOb3L58rli9fHjlz0sNcDmrltEmJh5LMaUhJ2YKJEydixIgRePbZZ7Flyxa8+uqryJ49O6j/zpatJMaPH49vv/1WUeqxU0Xav3+/tw2SSD9ZYNOmjbhukObr27evoQ/5AtLq4GXv0sjISBw5csT7nuZFISHAhg0b8MQTT2DixIm4desqAMDtDrKxOrJi3bp1OHMm/fYegDUZrFaQh8GOLNC7d2/MmzcPWbJkQb588rkMRFmAYEoGEni7TcfG22J+amg99QN37jjZuaa53HEcOLAHFy+KZza9aiRmskDg32EeT1F/fhWq3QagJtnqel5HAGjoeV3Y8/8UcucO8j6H5845bZQmyJbkGoB3AVz0vI9GvXr1MHr0aAvJKDlZSnnbJT/tSK33yobA2rZng7SbehPAKxB2Y3TjimSb222W0uQ/sVAhnRDA+zFfZIG2ALZBqohI6ORyX8oCgLXNutfKAnbWf/6QJ08eLFq0CNu2bcPQoUPRqlUrlC5dWlF90WORgry1FbpVSc+e3dG5c2dvxTpXprGSBWRbYkqoElmgXDnfGvKpRo15avutJCWyiaLn3FfVPCDuI/odUlkgcLIAoKoL6NeGrpueyNWVBa5edbD5oU4WoKS/rhJRFfJ5KQ4d/myOAlEWCA0N9cy5eDvGyZafAfjA8zobgO4QcyhVWSBHjpKYPHkyHn30UaQH/LzxZ+D6dd42Wud/t2/fxltvvaXZ0/19WG0IrP3JoUOycZJzJDuyAAAMBv8Nt2/fRvfu3fHzzz8rW/FYj4k4kWFD8L+DDLJABjKQgQceFHgKD3drMpDmJkxWJsht06csoH7PvwXR0dHIlk0GyIOCHvY5gFMrItVBJyUpA7MhEP9lEDxDWeD/AnZMUBN4cMeXDQFP3I0b9zaKFqXqRroxolC8eHHMmTMHvXv39nuM/pUFxH8+EOWB6/BwN8LD5YTLnw2BKWnqS1ng8OHDOHtWD2LbkwWOHTuGLl2slbI8we3PhiAQZYFA5C/1AENQUBDKly+POnXqoEKFCkqAkvYTqKwmJwvwwI0el9T9zf+ODcHderInJCQYrqFZWQAA3G5xTc+evYwaNWpg+vQ53nUU46D2kRLDw4cPx8KFC22PPTU1Ff379/dWQ5qUBW7fdnjP199XFlA/b/f8h4fr2+qBZXpvljfl929ammS+B25D4J8soI8LaJ9VqlT0+LETuFVAaRBZoG7dGh4fZAHpXWvdd758+bB48WJMm7bSu0zmE8Q95HAUQIsWLbB+/XrUqFHD8h38nARC+pgxY4YiL25CgQIFLIEHOa5RyZJ61RPdS3beijduyIBrdLQ9WUDsy/pME/TAVrFiubF9+3ZMnjwZ1atXR6FChVCiRAm89NJL+P777/HRRx8FnJg6cYInzM038+bNmz1JIY5AyQJ1PP/PA1AJDAULFsSKFSsQFRVl+RQgPFCtiIGocnnFskavLKb+R1QV8ypBCsD5Iguo9/DSpfK+5ae2UqWybCu9f3oUpCzw0EPm33g/kS+frEBq334CHn30UVSuXBnPPPMMqlWrhurVq2P27Nm4fl3cX9RX6RKspsBqSIgMZt2+7QiYLJCY6DDabaQHnLygW6mIY4hE+/YjIAmW29ja/0InaGXJEo41a9Z4q0t5sNw/WUA+1xSk9fUZHr93udT+2hdZ4NixY6hduzbat2+P8+dlwmPixHGoUKECJk+erIzBoqOfYJ82JSrHA9gBYKznvZR4djrTJ/FMgVW9kpDmoIEm/nbu3IlnnnkGDRo0wJgxY/DBBx94/d//85//ID5eVMWbyAIAkD17dqxcuRLffPMN2rZti8KF6eaIRL58QmUiNFQdqJpsCAChTBMvRud2AAAgAElEQVSIEsjrr6ukgkClpAOBP0lwbkPAwfuViAg30tLSMGnSJFSoUAFxcads9mYiCxDZbh9IkWDmzJnYtWsXChcujDFjxuDQoUOoWlUQbypWbIKuXbsqYwKA2xCofaBZlne/5/9JyKQ+ga5nKHhYNjn5DlauXAkdxYsXx0cffaTZ29yCtMFpDZHgBX744QfUqlULs2fPBiDHvMnJt9GlSxdWeU7jNdNDXgbACKh9I+ByubBmjbWiNxDQnJHaUN4Wv/JKf+TNy/u8C6hXrx6WLl2KESNGeJOFefO6vJYdsbGBh7N5sl0f9/LjoLEYn9/y10Tuio2l/jYY8vw94vlPKiCiauLcOf3a+4aJkG5K+NihaNGiBglt6s/36JtDTbJxkiCRBUQCMGvWqwgKciJ/fnGvx8Y6bWJFNN/fBHEOiPiR18YWJTAPdhOBnvc7vsgCgRDPaQ6RP/8NtpSsCEitJxPkGFEoC4SEmJQc1PusatXKyJkzJ1sbKFmA9vsYSO1Efr/aQNNvtOt79TjB3yWb67AjIAeKokWLon///pg1axY2b96Mw4cPY/PmzdiyZQuOHz+OgwcPYvv27Thx4gSmTJni2UeM8h1udypiYmLQpEkTxMTE+FQW4OpBNNd2u93YsWMHPv10JY4fF51PhQq+yQKFCpnmDKQckd+yhranqnl/ZAFAnltqywN5Xjh4nNVKyDPP/aw2BE4fZAFS1XwUqgpGVfZaffazZMlisbnlSEuTCoK+lAUcDoeHvM/bMbJQSwPwKoCBkG1fX4h2jvo2UUBw9arTdv7rC3bS+7NmTWNb2Q+kR40addcEPBP0+JyJCHP4sHxAGzQQ1zIkhM5ZNsh5JalmFAHQUfmO1NRUDB8+XCFJ8mFQhg3B/zYyyAIZyEAGHnikX1lA/FdtCNROjJjLYp36+X8rWQBQEy36AFGHye+WcDfKArlyuSzLMvDPgbNi/ZMF7BO+HLxyv127xti6dStWr16NXLnEDurWbYVff/0VLVq0COgYOXHIBHqWOauV30vh4cIH1VcS2uUSCTXAzoaAiDBOS7XxjRs3rB9QrBbUYEJqaiqKFYuHDrsE96pVa9GoUSOUKlUKjz32GDp06IDNm6XXm550pYrtQALb/gIMHBSMCYQs4HarFZohITIhqT/nesKF9nM3ZAFK7vJAiMnzLzDwqgDdl5JXhgF//SWDP5RopmNIS3PgxInTmDt3bkB7HTVqFFwul7fSJXt2l3J9KLBx75UFrPfAqVOnMGrUSLhcnAGmP/wUHD2uLRcnm6rNAfXe4bLXJlAQRG9rEhKs95B+r9MEPk+enPjiiy9YdWACAEoySGWB0qXF5Dg2Nhbjxo3DmTPit6xdux7vvPMOjh3Tk7GA2y2TEhs3LsRvv/2GJ54Qgb9HH62POXPmoGTJksbfxkkIgZA+HnroIcTExKBly5aWCsPg4GC0aNECMTExyJdPBBRv3ryJuXPn4sQJ8Tt+/nkr5s37nH3GXF1iR6aJZcVoJmUBfu+kpvoiC6ify5LFjYiICHTs2BFr1qzBzp078euvv+LDDz+0SbDbY+nSz9k7++DMtWvXtKQLT4gU9rEHSgYcgE6MKV++vFGJiVC9enU88sgjhjWGDDGATp06Ke/JhkCAjjcSMgCnP3uUhA2DqoABHDokt1XtKOTrnDlVic6HHqqHOnUaATBL+d8vuN1uTJ48GU2alAFZGl24kBfXtEHm8ePH8c477+Dbb4V/MrWXeoU4r+Tn4ComdskHvh0gArZ2ChqBghME7QiYu3bJ53306KYsERQHkZCRuHDhHPr3748aNWrgzz//1JQFfB+fqixANgS+lAXka11ZwI7Yefr0aTRr1oxV43IiZRpSUlIwduxYzJ49w7u0Xr0u3tdNmph8ZBdABKV3et7L6v3SpesYtjfjzh3Zr1iVBeT4zx9+/vlntGjRwujHm5ycjKVLl6J58+aIj4/3jjl18jogguBVq1bFtGnT8PHH//EuP39edIx2HvQEIgs4HA58+OGHGDp0qIEoJfqWKVOmoEePl7X9+/ulgcOfDZhU9VKXc/JAeLgbvXv3xrhx43D16lVIGwIC3Us6WSAIQo4YANRKOC4D7HQ6kT+/uBB282AaZ+iJt8KFCxu23gBhH1INQvGCgyYRqrIA4FJUAThefPFFLF26VOsXF3j+RwKQykgulwvvvPMOli9f7h0LXbp0DsnK5IVemwaSswGMBDDRskZXxwgUlOAighSfTz79dFN06TIEgBhLHD68FcuXL0f9+mr1Z0iInIulR1mAJ9srVVIzQvw4qH/gp8mUmNu2jbe7RCih/p2unxgznzwZQPUEAxHSCxSQmRfddssXHA6HZu3nBEDt5m7DJ+zIAg08ny0MAChbVsyH8ucX7cq5c0GKdZcEJb8pAUZkgWib7c3qDTpUZQHx//Zthzeup/fXISGyfzU6M2igZ7tmTX5flQbwONSqaKqeFucjOtpsXcXb9GzZsuKrr75iieXrkAQicb64pYxAKIB67L2aWH3ssceU9/6UBXQlt3uvLBA4MTEQREZGonTp0ihVqhSyZMmCvHnzokiRIvjrr7/Qp08fD0FLJy7R85uMnj17IiFBEnWyZFG3DA6WqoxXrzrw1VdfoVatWmjcuDHeekta9Cxd+gY2bVLHWRzNmzfXCOmAJINkglADkyCbKBpjUXvmC3RuKX4RyPPCweOs9soC6mf0PvDaNQebt+pkAU5irWrzWiULdO7cGZE6g4PhyhWHd3zkj1DRtWtXmMkCxyDHBaQuUAiAHF8Cws7D7XakS8GFYIqJX7p0CT/8sJFtZR9cTUtLw+eff267Pr0ITFlAHE9UlAtPPil+QEpKZrz99nSEhPBrNgRybjkUZIFFOHDggNdWA/BvQ6CrTGbgwUUGWSADGcjAAw+ZIFRltu1kIKUvn1zGAw+pqbqygDpg4hV4/zbw5O6VKw6f7EqeTNCTVVKq0/8+KZnAK78CVELMwD2EOrjzPenggXZfygJ0PwUFuZE5swjC1ahRA4UKicl1WFhen4kV/fikD655G0pUcVarThYAfJMF1Kpb63mQlZ3Wqma1YoBAScI70KVzM2XKhLJlQ5REAaAz8+W68eMnYefOnbhy5QouXryIDRs2YNKkT7zr9cCltCFw+CU/pY8sIL4sELJAYqJsS+m7KZmiV3no/ub3QlnALnBh55kWERGBhx/WKzz4ddUDpCpZgAdc79yJtxzDZ58tMcjUAvrkCxD+5ps3b/b2ddmyuTWyACkLGH9KwPBnQ7B8+XJUr14dH3/8Mdzuq2yN3lA/D6AlgHnactm40PNFxw74VxagoJdODDD5t+oTZGlL5Ea1atWwa9cuzJ07F8899xyiokTwsmDBRggNFcGK0FA3lixZgipVqmDSpElIThbX8NatFMyePRtPPvkkJk2apFxDCvY4HG7kyuVCsWLFUKGCCAxdvuybyeGLdGeHvHnzYvbs2di7dy+mTJmCUaNGYcqUKdi7dy/mzJnjJUT897//Rfny5TF06FDcunXDczxX8M47I233SW2eHZmGkwX8KQukpekEILlOT6iaErJ3g6NHj+L333lyzjfzrVq1al4fatXTsjAA4clorRgimcbD0KEn93U4HA4MGzYsoH6vVatWipUEoFYGyaBbEbZMlaQFTrDXRbR18uKr0rHy9dWrap+WllYcTqd4Vv5JssD48eMxduxYpKQkA6Drq/u5S8TFiRuY+kC9QtyuCouWx8U5bZMP+udv3wZ27Pjd+z4hIf1JtEDUmogsEBXlwiuv1MO6detYRZZehSwa2rNnz6JVq1ZISpJttb92hpO3SP3F12d4MiRQZYGRI0dqyUZOFpD7nzFDVmWdOSN3NGDAC+y5tYOUf82du5SfbSW4VDmvOgQ4WcD385uQkIDu3bvjzp07Prfbv38/RowY6X1vIgtwFC8uB6h0f+rkPv09H7M6nU70798f+/btw+zZszFw4EC89dZbWLhwIXbv3o0OHToo4xWHw31PyQI8gWVH1hW/QV3O3ycmXtaq7nUC51LP/zBQ1a9AeUif4p+UT2zYsEF5TxWMul8zHSPNbXT/77Jly1qSdwLbIGXYOYhgnB06WcAXqNpeEgZ/hCQ/vmzZfvTo0UhOpvG0zuL3pSxA85fm0MkE/qSj7UDze5MNwZ07DpY8cyFHDnv1mnz5xLOQPrKAvOdq11YHOampN72vpf2U3J4/ymFhbsTFxeHQIZ50D4cg5NE9pioLXL/u0EgavkFkgRIl0rwqCpTw2bt3L0aPHo3u3bujX79+WL9+PVyGSd4LL7yAjh2pEvQRkOqEThYYMmQInE76fDS4pY1IclYHVUfXri3mR2QFERvrRL169TSiTCgkmZHmvWK87XA8hKZNmxp/cyCy6iaFOB67MvXXNPf3V4jicsk5RNGiTkRE0LNSBsIKgIOUE0QbU7q0WRmAj4mdTqBUqVLYunUrPvnkEzRo0AChoaIffPTRp/Hbb79h5syZqFy5MvuGWpDXDdDJAp07d1becyU/E+63soCdX/u9xowZM5j0/3qoiWv5LCQlJeHUKTkuNuWlaXy4Zcsf6NmzJw4fpmf3ce82x44tR9u2bbFkyRLj8eTIkYM9awSzckSNGjVQsWJFuN13qywg/vP5VXptCOxIhjw24nabbAikskCuXLq9wi7I+T5XguKJZ0maKFiwIIYNG+bzmOn8AL6VBQBhv1e4MLVdwQBo/nSAbbUCksBEx3gQcl4B7Nhx2ud+TDBJ7//0009ITeUMpRCIedtyAF2gY+PGjZZldwtdZdGXssAjj6ShWDE5tqxb91VERzdmW3LFrhIQCkYqduzY4X1tZ0Ogk10y8OAjgyyQgQxk4IEHVxbInFkyhO0SVZSY4sEF/trlUhNneiDk36os4HariRa322GUWifwOa8+IZABNf/nka5v1qwuRQI2A/8s+ODNn7IAD5Tzyb0O7hvMnzOZxA58GMLvCTvGPD3nnPig2xAA8FmxrkqJWffBA6+6TGSJEiUMVaMUpD4CCuATmjZtikyZnChZUl3Og7U3bvj2O+PB0IgIdQROz6HL5fArv+gvwMBB1y+QJL4pcUDXQZeV50FEp1NuzwNBgcKkLGCSr9ThcDjw0ksvaUt5RUCcto7LyPL/SVi58gvLMezefdCw17EAbkIk21Xs3r3bW8WYPbtbCYTR5E8nm6QXvmwI1q9fjz59+nj9FWVwG7CSBc4C+Ap6tXV4uDwB9HzxZ18PuOvg1b4cOlkHsI4L6LDpWQ4NDUXz5s3x6aefok0bUZl3/Xq09345duwP9O3blwV11evrdrsxbtw4zJo1y7sPCqbkyuX2njsKpMbFOeErX8SD0f7aXR158+ZFhw4d8Prrr6NDhw6Kf3xMTAx69OiBW7cokUJtTBB4O3L4sExyAva+lYRz5+Rr/2QB1ZeaJ5fvF1lg586dUCXZgwFUhiD5zLZsf+nSJfz666/o1asv+HOeJ09VLFy4EIsXL8bAgQPZJ6Igg+Bq5WeVKlU0f3EzGjZs6JFYt9dobdy4MaZMmWJZziuD5HEUZcs4OQBQ5drVYLbTKbM0vA3h/Q8lJCMixH4vXXJ6g3eByJ7eCxw5cgSTJnG7B/9kAeoXg4LE/a+SLOwDq9Q38QClP2WBUaMmomvXXt73b73VB88995xSaeMPqrKAXJ6SkoKvv/4ao0ePxtdfi6RC2bKJcDrFM75nD0mqfgV1fCFfX758GUePSmKLv0rCqCi3NzlF8NU26fMrf2SBCxcuICYmRltKjaQu4y6f5TNnxI4cDjdKlcqGkSNH2h8UAE7sMxHL7MCDqrqyQKBqTatWrUJcnD5WMOOLL2Ti2x9ZIEcOt+VetrPSI+TJY7p/M6Nly5YYNGgQ3nzzTTRs2NCbeObjFX/Hk174Vxawzt/195cvn9Q+xZUFTgJYy95zdQGegPtV+YabN28q76lvu3bNabEFuXlTVjHrREeHw4H//Oc/CBxEIMgLnSxQqpRvgsvSpUtZsswNgKoS60JXxrl06RJiY+l50Ae/9F7PGoZBEmWzAnhaWRtIX2eCLxuCO3d48sx3O0XKRumxIaBke6ZMafjhh/eUdZMmvYuXXnoJu3fv9rbH/NrribkLFy5AtZUIh+r3rCoLuN3ZPEoYgYHiL3nzurykpePHb6JRo0Z45plnMG3aNCxYsAAfffQRmjRpgmrVquHXX9X72uFwYNKkSRg+fDgiI7m6iug3ihYtinnz5mHAgAHIk4eudRXD0fQAEZqJE0DKArGxTjgcQZg0aRIjr3CpfJUs4HbnhMNhJnqdPs0JZOaqEYdDzllofB8oWSCQeTDFEK9cOYqwMKqmLQugjba1qiyQL5+5Opq3XdSehoSE4Pnnn8fixYtRtao4V3nzVkKxYsUAEHmD7uuGUCHHPbVq1bI8h1REbxcn0dus+6kskN45TaC4deuWZoMSD0GYIqh95NmzchysKwsAkiC5b58uA09kgWMArsPtdmPAgAH4448/jMc1cuRI1K1bl++ZvSa1uUe96oLx8Q5ve3i/bQguX76MEye2e99v3boZO3bs8BLfTURxVUVAIC7O6V1WvHhh1KxZk629DZmYp0R8QahEbEFyLlOmDNasWYM8eVSLGx2crBDIOSpXrjQAwOHg7TGPu6QC0OdWG8HJfMuW/eB3PzpMBVdCbZT3tyEA3gDwIoC5kPFBAbKlCgRutxvbt2/HoEGD0LlzZ7z66qtYuHChV0VDj5txEiyBlAVKlkxViKhHjjhw6xbFMk9A9GELIcfU/B4X4EQ4O0sGU4w2Aw82MsgCGchABh54cOlxh8O/DKSUMbR2ULSeVw9bAy2UYPubB/4/hjt3rL7MvqwIeDJBZyZT8sftBm7pRR8aKAEUHh74hO5Bw8WLFzFp0iRUrVoVDz/8MIoVK4b27dtj48aNRrb/gwh+Pf1VnjmdMAZTdNBgVZ+8p9f3FQhM2paec5dLyp2rJAPx31cSWvXasu6DkwV4QgEQgZnu3btrn6DJgHVy2a1bNwDAY4/pZAH5evXqL/ga6wF5bQ5S8f33qhQflxv0d679SRdyEFkgEGUBU+KAJrV68pfeUxCRjuXWLXk9rd9/CwsWLEDjxo1Rrlw5VKlSBb169UJ8vAg02SkL+GI2d+7cWZvAcrLAFW1rXVmA/id7q984ScFcWNQdItDYzbImIcHlDVJGRZltCO61sgD1gW63GyNHjtSUEIgskASrpK4ZNWrIqgKaJPLKTF0WU4edDYFJklUnINH+TOfo0UfFSqqeBYANG77WttKvr8D777+P6x7pHFNlyEMPyWfaV+UbHV9o6L2r4ExOTsbAgQO160bH5gRvR1au5AkHea/aTeZJWcDhcBsDN7oNAX/GVRuC+0MWEAELnSzQHuIZ7g61QktsX7BgQbz2mlrd8vDDNdGwYUM4nU60adMGgwcP9qwpwbaSZIEyZcrgs88+02wN7NGhQwf8/PPP6N69O3LkyAFABJDr1q2LRYsWYf78+QZJU12q1KQsoJMFGLtDqRYEnnxSJg/srG8IDRrIBpOqUQKpZLoXmD9/vraEyAJRENWSj0BIfPOBqAjgX74sbEP0BKs/G4JLl3wnvMPC5PddvHgT6n2VgHXr1qFGjRqWimU78HNJwePly5ejUqVK6NKlC6ZN+wSXLwsbiV9/nYKhQ4cq0umiX/qRvdeD5bJSyl9/ERSUvoSCL2UB03jip59+Mni725EF5O84d04mz0JCgO7du2Ps2LEItSmN5EJP6fH65tvqihSB2hCsXr3asLQqgGFQramAO3fkIDqQPoAHdQHfiXUgsAA7B7/Wd+M57Qv+yALU71A/4nK5sHHjRvTtK8k4iYmXtE/xSeZKAOfZe04WKOz5nwCASeQA3jaYwCsY9XkwH0tztUNCixYtNIKZL5jJApkyhaJVq1bGTxCsZKTP2Gurws2NG3Se9M6dEhSZoY5z8mnbtfS+KlOmDKpWrYq7gS8bAq4s4O++zZVLPDcnT6Zg586dhjbFClK0Sko6h927VQUstzsB3377LZo2bYrjx8V8LS1NKizqVe+if+ZVo+GQMv8AQERMqk6PQqZMgTPsiIyeO7fL23+tWrXFQ4i04sSJE3jhhRfw88+qxYbT6USfPn3QoYOwkggJScLw4e2xatUqbN26Fc2aNQMAZM5MHUMx72eDgg55vqOdd1lkpCBBkbJDSooDly87ULt2bSxatMjzLHFiokiYhoVJQo5O9N28eTNeeOEFtGrVwbusV6+ueOONN3D6tLXKVye1+iMLUD/kL7bE5yVz545HXNwWz7snoJMtgSLIkiULQkLE/FCv2CfwMbGuZAqoCg2EOnXqYPr06R7yhU4WEMoCVatWxfz58y1jTn/Ef52cfX+VBe7tdxNiY2MZgZ3ASWJq25GWJrc1jUlkP6+rQxLBTD5zaWlptlaCmTJlwuLFizFixAgUKFAAnCwQHv4IevXqhW+++Qa5c4uxO48h8diSHfTK7ECUONxuNyZNmoQKFSrgl1++8i7/44+9aNy4MZo2bYoLFy54nynejPK+j+a0V686vPsPC3Ni+fLlGDVqFFMW+Q0A4HRWx4gRIzFihEoMDQ8vhGXLlmHTpk0oWLCg39+cHmUBQLYNwcGlQXPd4sV1xv5cqIUP34GTBXbt0kkj/mGS3hdtoT4fJSukIACjle+4fPky1q1b53dfp06dQsOGDdGkSRPMnz8fMTEx+PLLLzFgwACUK1cOixcv8Y5TpCqNTh6Qfe2jj6YhTx63VzX08GEgJYVUGWickQJBmgF0SzsAiiKnXdEVXRu327/aaQYeDGSQBTKQgQw88CCPMRrgkcS9XfKLOik+fuYD9LQ03YZA/fy/VVnAlPgzSTASeNJLDyTSNQL8B9Xo+mbO7LatOH6QsWnTJlSrVg3jxo3DiRMnkJSUhJs3b2Ljxo1o3749OnTooPilPahIjw0BIIPtvq6VHVnA3zNsgkkhQIcugQ2YbQh8KQuo8lnW/ajKAtZ7+6WXXkLDhjS5D4ZMLv2pbNe/f39UqVIFCQkJSEzcqqwbO3YU1q9fjxs3buDHH79ja0xRflIWuIH58z9V1vDghS/Z3NRUOekMzIYgcLKAKYhj95zrZAHaPi3NYazO3rVrF6pWrYqBAwdix44dOH/+PE6ePIkVK1bg9GlRxeJ0ypkvb6fsPNkBYSexbNkyVqlNZIHbsFa7UKCfgoAUeUn2VB6pwZh8+Qprn88GmfR7HDpy5ZLJyago1YZAqif8vaSdnRzhr7/+imPHjmlb0wQ7MK+YJk2a4JlnpN8mBff4/ejPhoDuB/1+MSkL+LIh0FGihDW4HB+vk0G4p7BEYmIili0TfpYUUOHBbQoAAkBsrH3Gha7hvQyqffPNN7h0SU+ocGUB2Y7cuHEF3377LQBBvElNFQ/aiRNncdtg8ErKArlzu43HrFs+0TULCnIrSUo9D36vyAIiYKFXcpDPrBNCTlZCBPSs9xJVMRPeeOMNrFy5Eo89xuUXD6Nw4cIYMWKEEgAMFMWLF8f777+Pw4cPIzY2FufOncOKFSvw7LPP2pIOIiPd3uf92Wc7ebw+SVngEtRKR0C0T3QvqMHu55+Xv4VfG1PwuGlTmdCkZ/ifsiH4/vvvtSXcZuKw528rgI/ZctEvJiaKNjhwG4LAlAViYr6CDEhnhvSrBiiBdOfOHbRp08bbD/gCP+dJScCsWbPQu3dv9tlKoOc2Le0XzJ07F1u3btW+hRML1bYtLU1ev0D6C/18+Wqf9PkVH6uZxhO3jAxiSvDatVuyz6aKVgDo0aMH9u7di7fffhs1atRA+fLl8fTTT2P69OnYs+cHb7ufHg9aHlTllgxA4ETXK1f0fgQQ12c0gL7acvldpmSSDr3f8kcWUNVI/OOfUhYwJe4k2V/cJ23btkX79u2xZQv3itbbOO53twLSGx1QyQKUmLAmH3VZdK6a44ssYDd2GTRoED7//HM88cQTyvJgy4NEx5oTopKfjqcRsmbVJZ5VWJNlxyHkggGghmX71FT6HfrnePVrfvZaJws8DyAIoaGhmDBhQsAWchxut5xr+LMhsCMLXLp0CYMGDcKyZcJ7+vr1MDRq9ByeeOIJzJo1yydp4K+/iBhxBSI5xIklYkybkpKCL7+UUuNEiOf2MGFhQKFChZAjB+9IIiCrvk8DIBUBuj+dCAqyt1XgSEwEbt3idgxEzrf39gYE+fHVV1812h38/rsYw1as6ESfPq+jVq1ayjhDHyPnyXMTEREiceVyyUahc+c66Nu3L3LmlONDGuM+/fTT2Lt3Lzp3ftu7rmbNIvjggw8we/Yo7zKuyjd79my0bt0aP/74I+Q8CkhKuo7PP/8czzzzDPbt26ccm14Frc4zrfdNoDYE6jz5Gqwk/0QAggCYNWtF7N69HykpoZ79mtsCNRZpXS8VMoK8pPizZ8/izp076NhxCKTv+inP/6IYP342pk2bhqlTp6Ju3bqoUqUKGjVqhI8/nqmosZqgE5zuvbLA/ftuglmVaxnEc3cMaiU5wMkDJmWB8HC6lzlZIAoyfqMSdFatWqWQrDlCQkLQu3dv7NixA+vWLUVoqNiuW7fhGDlyJLJlk2qQFy/K++1ulAWIQB8c7LYlgY4ZMwbjxo3ztAlcuUM8PNu3b/cQhlKV7wbUGHDp0kQWcHq3CQ0Van2vv/46tm3bhh9//BF9+og+z+XKjkaN+uDKFU5mBhyOPHj66acDJlZT/+t0upErl//7iW6NlBT5/W3b6tZA8QDmeF7fBrAZfOx5+7bhJvEDteBKHGe9evUYCQsQ8wQe52kNrniUmJiITp06YebMmbb7iY2N9alcdvPmTfTrN9gyXo6PdyI5WZDKxowZgw4dxno/kzXrGTgckoi6d68Dt2/TfJHvh/pLlSyQNWtWFvfU7Vzla06cun49AVu3bsWmTR8ZqUcAACAASURBVJvwxx9/2NhzZuD/GhlkgQxkIAMPPLiyACAn53aJKuqk1A5KXc/7JH3M+e8lC1i7BF/KAnxAqQ9SeQDFX1CNkgnh4W7biuMHFXv27EGnTp1sgp8C3333HV555ZUHfiCUHhsCQAZ4fNkQ0D2lT6Ipie3P95WD8y3sJsF60BowkwV4xboOfzYEOXNKiV4TWSA4OBjz5s1Dz549ERIimc0UdIiKisK7776LIUOG4NChQ6hZsya++mqE8h27dv2Kjh07olmzZkhK4rJkwRCT2YMAvvZ8NwWfbiiSckDgz2EgHsMcdD3j4/0PI33ZEOi5SN4W6MeiX6sjR47ghRde0HyPOUQAZ9u2n7znJFBlAUB4z+7atQtDhw5FWBhNmkyywlShlhni2lBSOQmZPQ0aD5g891xLqCjGXj8EHqCNiIjAE0/ICZiwIbB2TH+3MsTpVJ8dev537dpl2DowskD+/PkxcuRIzJs3D6Gh8j5JSaFkS+A2BHaBPkrwOhxu5M0rHnh9XCArFa3f+8gjpqCyHmTVbSYktm8Xko6m4LZKFvDVj3q+/W8SPji2bNliWMqVBXgDn4KNGzdi8ODBKFu2LOLiRDDgu+9+RLly5TB8+HClfyNlAa6cwGG1IZCJZZ5buF/KAnXq1EHOnDwgHwxJFgCAcsr2bdsKH1qdLHD5stPSPtWpUwcNGvQGAISGurBjx1fYtm0bevfufdf+zYSQkJCAki8Oh0z+5ctXHgcOHECpUk0AANmyxaFDhw54/nndzoSqZKSywFtvvYVSpWQVJE8U6EkDh8ONevWSLdX4dqS9ew3r+OoPqNLjhPrstQjIhoSIi6jLyftTFuB9u35vut1uTJ8+DbINDIdKFpCDlfj4eCxatMi4L7vj+euvWAwfPlzbgicdt3mPQ8VXbN96QlQ+r4GM7/Tz5ZsswPaS5n88kStXLssyYAGA4RAqIBzWdoa3rQCQO3du9OvXD6tXr8Z3332HZcuWoU2bNsicOcybZDMRy+zA5Vq5xy8gia5JSWYCIyE8PFxbUgQyWV1WWyf3d3fKAm7b91FRrnSPD/g46Z+2IaB5d1AQ0LVrV/zwww+eNfw36+1BDISqxkyIZPlFto6TBQp5/p8Ch8PhQJcuXZRlvIJRJ83zubKvsUujRo3w9ddfY9u2bfjyyy+xdu1aHDx4UCMmmI+1TZsXbL+XYK7K3O/5X9KyJiRE3JNhYfrDzKsoufpMfm273ABqIjk5GX379sXs2bONhEJf4M+MJAtwVRXfHt6nT59Gw4YNMX/+fKSknPAsdQKIxqlTpzBs2DB069bNNpH355+UEKKxPCeeyTFtWpq8x4jQyZWtwsLcCA4OxnPPSSKsqizAv/ea91Wgc17e/+TO7UZoKI27/RMSL168iG+++UZZ5nYD+/eL616unPnc6G38pUvf4ubN5dpWiUhNPYMlS5Zg4kRpt0GqL4CwOClcuJb3/fLlk9G5c2cUKiQJtxRb+v777/HOO++w7+fkC3HCr169inbt2nmVvABYqqD92xCI//5iS6dOcTuSa5DqEISvQc/YzZs5kJAgJxYmlRFAPa+m9pT6s9u3Hfj997Po1KkTKleujAEDBmDBAklmqVhRkiYPHgxC9erVMXXqVBw8eBAnT57Ezp07MXLkeK9Fit1cXic43WtlgfupTEMoWLAgcubUVQCuQKjHlIKctwlkziwZSZEGvk1ICF13PjbhNlfqXPj27dvK/WhCUFAQHn+8MvLnF9fj0iWr9QZ/zgMjC4hzS1wgnXil4+DBg5g2bRrfI3stgyAnTpzA5cticsdjIzwGXLq0aDcSEx3eeTa/1k6nE2XKlEG7dpIcsGtXCPbsUQPECQm+rfl0UH+QK5c7oPtJb8fCwtwoWdI0gB0OYCSEYk4CxNxftNWZMvlXPNDBzxsdZ9asWdGqFZ+PVYLaxgHAu9YjGz7cohBDGDZsGM6fP29cJyHnwIULy7HTa6+9japVq2Lq1KnYsUPOU/r0qYtXX30VhQuLG+unn6Sls0oWoHiXSiTs2rWrMublxAk7pZFKlaqiWbNmaNOmDerUqYM6depg8eLFD3ys/N+GDLJABjKQgQcabjcsLFl/MpDUwfFBhe6pKTvBDGUBgimZ6JssIP47HNYBHJ+M+Jsc82ri/zVlgbFjxyLJlw6/B+vXr7d4CfrDtWvXsHDhQkyYMMEzsNtxXwdR6bEhAOTk5O/YENy65QzYuyoQGwI+EKXvpVhWaKishPVlQ2CSEtP3QQFkE1lA7CsU7733HiZNknJirVs/ho8//hj79+/HK6+8ggsXLqBVq1Y4e/YsgH3aN4iHS/ji6VWyLSCqY5tAyGoTS/060tLSlKoaHsg0kYEI/ioBdRDZw3T+Avluu+dcJhatx6IHlt977z0//m4iAnLixCFs2yaSK/y+tvNk54iOjsZ7772Hpk07AwCKFMlqSOj9xV4XBVcWqFFDVHfxYEy5co+jUqVK7DNc1hzgrPMuXbogOVlGNqKiXMZ7/15Ub/BzI5n5JkYFBaP/tKwpVqwYZs+ejdWrV2PXrl1o3bo1PvjgA4wYIauMnnmmEaZMmYLz50W0wOFw28p3EmgOarUhEPe08HE2V3zS82x6lnPkcBukH3WyAFWHFQevAAXgbfupOoQnGPLmdXlJRb7JAhR0sd0k3TAH8GlZLqgKJcITfd68eZ6kLF3zENy4cQMzZ85Es2bNPN6LUlmAV15y8ETzzJlzsWSJkONOSrqGWbNmeQNselX6vSILBAcHo00bLt+cCSohR5IF8ufP702sm5KJZ89aI1PHj4tlRYu6ULhwgYCrY+4l6F6/csWJyMhIpKWJJFj9+sUwZcoUzJ07F+PGjWPKKFQ5+jDy58+PyZMn480337Tt8/XgceHCLkRGAkWLqklKfx6p9wrWoHAygBcAzAAwBMBSz/ICEPe2E2RDkD9/Fs93qPeXXXCVfhMnw3KCVkJCAvr374+DBw9CPlM6WUB9/pYv1xMuVmRiceSNG7cYxnpEFjgK2SbpuASgDkQF8I/aOvkbAiEmkUc2wVcfo86v1L7aRCipW7cusljK++IBjAHwk7bcShbgygL+QPLdugSrL5AKQVCQtW/iYypfc5unnnpKW1KNvS6qrUsfWaBECXXQ7EtZIBBpYx0Oh7zegSgdpAd8/OJL2SspKZERBQD1PtCVBeIgPHRf97xPBCCSP2Fhhdl2lABQyQLDhg1D6dKllWW+lAVUVST/57do0aKoXbs2qlWrhpw5c2LevHmYM2eOR8ZfqiAUL17H+zooyH+/0q5dO8PSQ57/BcHbpJCQEGTLlstzPHoixEwWCAvjJDvK7oi+9dixY3jnnXfQtGlTGxUNM/TqfHFs8j67csXpjQnoyTOXy4VOnTrhzBk6XqsfOCCUlSZMmGDZd0JCAi5fpu+kY97DtuADTDmxpTmuSfK7XTueCIqCVC7iZAGZVAxUTU8lC7gQH0/zDJ7MLAFgHgDuGS6gkwVOnXJ654Bly5on3dZE3B4I8g0nSctn58ABuY/Jk1di1qxZuHpV9E005s2dW5KV+PWkBOBHH32k7dNKFgCEPDcpeQFyPE/99L2yIVi3jqv1XIN1nrMUcs4XhcWLZULPbgzLz6svZQEAaNnyP1i3bh2zrySy+Gns2SOtTRYuPGBjcSnni2fOWOdogMmG4H4qC9zTr2bfG4L27XViISCs8az3N7chGD/+HYtShVRS4nY0vP2z2kiabMJMILsOkx1dem0I6FnSrVHsxuJWCy8zWQAArl4VRCqTDYHD4VbI9USgMxFNihVL8xJnduwIxt694mHlvy89tlAm5T5f0MnOjzyShtq1ayAqSld1uQNgFID1bJk4Bw89VAHpBT9v/L4fOpRbEtVirxd6/jcEUNvyfTNmzAAAXLhwAVOmTEGPHj3QoUMHrF271rKtFZwsIM/bmjW/sG2or4oDcBFffvkltm5dAABKjiRnTk48JpJCNGjc+uyzz2LQoEHK3lU7Vx6HlGOFhAQ1ePznn3+iX79+6N+///+Mfe+/ARlkgQxkIAMPNJKSZPAgvcoCvIPSlQVUGwJ1YCHJAv8bCet7hfTaEFAeKSTEGuDiHtS+AmrJyTJpFxHhtq04fhBx4sQJj2yeDvM5W7BgQUDfe/v2bQwaNAjlypXDgAEDMHHiRIwZMwaNGzdGvXr18Msvv/j/krtAem0IKFjii9hBwUC9GpoH2AJJOAOBkQV0UhAgySg8aO3LhoA/93bVdDTp4VKKJsTGikS+0+nGlCm98OKLL3qrzadMmcKkwm9A9Zrmkzg+8Q2BDHgCwv+W5MBEMm/QoEHeZCGvdPD1HKZfWUB8b2KiA3fu+PYJ9a0soJMFxH9KJPJj4ffJ+fPnvdLp9pBJe3r2eAW9QaXTFnFx4pkuWDAz6tevr621JwtQtZpufzB//nzm78cDEgCRBRo0aIChQ4cqpLjs2d3G63MvKkP4M099Z6FChQxbTgPQGMCLljXlypVDy5YtUaNGDezduxe1a9fGBx98gBs3ZIDi3LmLeO+99zB79goAgnjiL99qb0Mg3ufK5fImdbhiASD7F7tn2WpFoLOfKGGRB2qliUg237olKiUAlSwQGir95X2RBeg+vJcBO7McPgXFK4AHFIFU3LzJq6kkWYBw4MAB9OvXDwBXFjBP5nkbPGPGbFy8KAg9KSnXMWzYMFSoUAFff/21xYYgMvLeBQc6dmzL3hWCaiEhyAI5cuTAokWLvO2xqS0/c8Z63Y4dEz+wWDH//sj3C6QscOWKE243cPq0OM5ChcQxORwOdOvWDXv27MHnn3+Oxx8XpIGoKKGW0rFjRwBqJQxvo/T+v1Qp0Qfpv9ku4X6vQZ7KKtYD6AVgHADyhw+CuN7y/q5Vi663en/ZxXlN1grU5t68eRPNmzfH4sWLPWtooJoZQHX2CXUAK5Nb9uDKArt3WwPTkiywzc837QKwxrI0Z87s3teBKAvo8vuBKgucOROLn34SbU1ISAouX7ZaMERGRqJDhw6W5SaEh1uj4PnzB/7sEVmA+vBAQMoC2bO7DXMbeZ30vobjpZde0qSS7ckCtWo95X0dCPfIqiygrj9/XiZRIyPvbjJFwe57zYXKlEm2L3xMf+PGDUyfPh0bNgjbrStX9PuGj4PtldwkxOerVGmKjh07IigoE2SlvAh+58yZEx9++CH69Olj+XRkpJyP6vNgnvD1R3Q0wel0okWLFvjmm2+wZs0n3uUtWrzOtvH/PeXLl0ft2nqS4TB7LYmo7dq1g8NB/s0F0blzZ7ZdLCQZQ5AFcuXKhUqVSAEhDjKh0gKcNHngwAF06tQp4OC+KeHucMj2+PRpeTPryaFNmzbh9995pfc59lq12Jk3b57F/u/ChQtwu4l4RkkLs7IAHweSsgA/dkrO5cnDx1KVIcf/MhlZpoxUaDC1GceOHcPChQsxZ84crF27FomJiRaygMNBBDE+thsOoCsA1X4OgKXq+cAB2YDbKwvo9/IeCJLZBrbsJHudAKrE3b//KoYNG4by5ctj4sSJ3jEvHyfmyOH2zi0uXXLi+PHjBisdM1kAgKLQo3u3+1cWMM85dRw9yokR1yDm1dSe3oBQMZFz9a1b5THazZ15jNGsLCDb82vX+O8PhlRL+haCJEiJO7tkpiThrVr1mbHARFdAuL/KAvdvjPjKK68wQqxvJCfLUvaVK+ejfv36ePvtt73tVrFilFwNARFNZT+dAN0eqUyZMh4LMP8g5QjTPJDIAuHhbqPiAeHw4cN46623cPiwsFdYu3YDevXqhTNnRDtmNxa3WnjZkwVcLtHmmWwIcuVyK+0xjZFMJFKnEyhZUsSjFi9O9T5ztWrJ9pjm7oGAyAJ8fu0L+nioZMlUZM6cGS+99FIgewMAREU96nfLU6dOYcGCBZg2bRqWLFmCy5dveNfx+z5HDk6MfcTz/zSEHRV9Ziz+H3tfHdjU9b7/JGkLLaVYcWhxp7jLYAyGDB82YEg3ZMAYMgZDBx1DNvTDsA5YcRtSKAx3CgyX4V5KW6BAhWry++Pk5Mg9N0mxbd9fn3+SXElu7j3ynvd93ueVsXv3bgwbNgyVKlXCjz/+iM2bN2PXrl2KPl0ApPwSTx5kZIHChXl7kSdeU7IAm1MfPz4gfXcYkpMfokaNGsiQIQOYsoAJuXKVw5gxY7Bs2TK4SqwgVdJVSkoKlixZzB2lXlSsXLkSCxYsUO5Lx/tHOlkgHelIx78aKglxGojWC36pZIcNBmawp6aKrDfZGcQrC5w+fRqrV6/GmjVrcOHCBfxfBu8AoUahPWUBuoBWGYu8A8Uek54P/ri7O7+g+zdAXS+qAogxrpWdVUt6i3j16hU6duyIpUuXIkGh03Xp0iV06NABQUFBWLp0qc1IffpUJY+eNjjKqJdBnTt8pogMSkCRHWppUZ6g4B2LevLHvLOD9nG5jAnAFvWOyhDoZVUxsoB9M+r6dTIIFS6cKmQOxsbGYt26ddLRvNOKj2TzCzoXiGSBvGCMZOIcWr58OTp37oyEhITXKkOgR8Sg171gwQLMm/eTbVupUjUwcuRI3Lp1S3kOX6qAOnFoQEbu5zKxQ09Z4OTJkwrnpC8I+58uMujiJQmhoaG2o+iaxhllAQprsgyyZbNg/PjxUi3Z+2CO1sKggcls2TxQunRpAKIzJikJyJcvH3bu3Ikvv/wSLi6lhd/KmLEefvjhB/z+++9wdXXVZLFlygRbxjr7T2/ukFGV7WnWrJkiAzQZwA6oSjLQTLeHDx+iS5cutiwj0dFPfigujjwILy/H0iK0vSQkGIS5m/a/HDlYBqheGQI9AlTJkuLvG43y9fCO0o+FPZ06dRIyQ2Tntr2MEop3oSzQrp1c6gIgNd0B4szmJc1l9QgtWQAgmWo3b94GVT/UUxY4dowvgeAClt1IglZxcXHw9/dHVBTLUDMYLHhDFX8Bbm6847i6tNcP7dq1x59//oly5VgdS6oswDt5HjwQvU5mM3Dnzj9PFqDzz5MnBkREGGxBDF9fuRatK5o1a4ZmzYjs+YsXGZGayv6TSBYgsvahoaH47rshwve8eHEcUVFRGmKNKrD+LtC9e3ero0oP/NxTBExtB/Dx8UJSUhLOnGH92GBIxurVK5QKHPbIAkOHDsW5c/w8Tc//BAC9ZycgO5btXzs9hr2PjZX7pDeYhLojsoAaZcowWXJnggOyEoNqjomJicGCBQvwxRdMwn3QoK9x4ACp75uc/BSVKlVC3759NdnHI0eORJUqVWAPLi4umD//f5rtchkCe3i9MgSkP8mECUAkutqzXfPlyyfJa/NjbhZQp62XlxfGjRtv2+NMkNjHx6yUet6xYwcaN26MKVOYrO3ZszvQunXrNJOMmbJAmk5zCIOB9Sdqm2/duhU+Pj745ptvEBFB7AqzWWZz2itDoAIhC7i6+mDmzJnYseMCqO3RsGFRLFiwAOfPn9cNIBgMLDghr4N5G+N1yAI8ihZlEx9fv1q28fSwYMEClCrFlxzgyQJke926dREQEGCzhVxdgenTp2PWrFkoWbIkyL0lE7vJVAidO3fGn3/+iUuXqP0WBuAP6/sCAKoJ13Dq1ClJBUIfspS//J4S3wCtPcVnlrProhBLJrx8+VJDKDaZaBk3gNmvu0AC4Lcgyi2ryALaa+fni5Ile7Oryf8EzZs3x5o1a7B48XTbdn4dduHCBbRr1w61atXC0KFDMXr0aPTu3Rt+fn5Ytoyp0uXMaUa2bNQuzQxGfqxkfS0OmXQcExODVatWYf78+Rg5ciSmTt0NAHBxSUWxYmqmtHbdTwmm/H28Kx0jljhKSEjAtGnTcOoUeTZ8INxkElX57ty5Ay30yQK3bzNiNgtAkVe6PnR1tUA13TqbiJKYyP8+JVzQth0E0i7YdT99ykgqemOBqHKqPUYk3vKkl1pgtgxtD/SZVIIaLOL8+PENpZS5XIbgbawfefDt6F0pCwBA7ty5sWHDBuTLl8/xweDvMSEwL1q0CAEBZK709ubncjpGFLa+attpz549nb5O+nwfPTJBjvPSNay9rPn58+ejXr16WLJkCVJSSANOTrZg3bp12L6dkAH0yAIiERwgtikN2sslHIndqVIWyJ3bbCNe8pBtyefPn6N79+44eXKu9TqZ/2DbNkaGSwt5015ZGhVkskCZMuQPDR8+HNWqVVOcwYOQBWJi9GXT7ty5g88++wzVqlXDt99+i4kTJ2Lw4MHo3p3ZwY5LOYWCkJHo3FAHIqGUICgoSLekDsMgEKW1Odw2tgbiyxCIyjRasoBoPwDAGbx8+RInTpzA+PHj8e233Wx7li/fi8GDB8NF4TCmSZ4AGw927tyJiAieOK0/OPz66686ypbpeN9IJwukIx3p+FdDJWHNMgi1jhqLRV2GgP+sVRYQj6MBwgsXLqFp06b4+uuvMWjQIDRq1AiNGzfG7t273+Qv/WvBy5SXKEGME955IYPaLyrHo7PBYJkM8l8qQ6A2ZNqCyJh1hVzjOsmJVOapU6faJNPt/e6wYcMwYsQIm5FaoUIFDB482CYV/ToQa0w5ryxgr/aYXhkCvn3oKYTIcEZZgO/LrAwBU66gYM5Ko6bciDOkCefJAuQL5NroV69eVdRh5mXxnFUW4MGe/fHjxzFr1ixkzMiek70yBM4oC4SFheHjjz/G2LFjERV1w7Y9Ls6I3377DQ0aNEBISIhT361XP5Kvbw6I7Yb/HnXpj54gtQr7ghAoaP9LFo6XM1KcAY1zZM9uRsmSJbFhwwbkyUPry6aAOcyYskDBgizjQVYWAEhW2+TJk1GxIi+ZDnh41Ef//l/ZFmD8+Jk1q0VwtlO8jcwQfnFL232mTJng7+/v1PnlypXDBx98AIAs9KKjo7m9WrIAlXtMThYDayrw5Z95ZzMNAHl7m21BHN4usFjSrixQs6YcwIoAc9AxskC1atVQuXJlgSwgZz7YyyihoNPC23TYVapUCVWrVpW28vMKL4XoHFnAYrFg8eItNkeSKssjNjYWq1cHcVu0ZAGAyAkfO8YyXjw9tRm8bwL+WZcvLytgZMO4cYs4ZQ8C2pYKFjQjUyby3/jABUCybOiY9U+SBajD/elTo5CJKZMFKGg7tFgMQpasSJhKxsCBA9GyZUts2/aHcP7RowtQrVo1JCSI0q3viyyQJ08ezJo1S1EChoJXdykK3lH24MEVVKlSBePH97dts1jiMWTIEFSsWFEzZ8lERKPRAg8P4O7du9i6Vc7Yp4MRDeRHQqW44thBKSoLZMiQRdrLB4K00sIqZx2PgQMHomhRphLjjH3nSFng7t27+PDDDzF27Fg8eMA7001g2Y0xSElJwR9//IEWLVogKoo5pzNlyoQNGzaga9eucFNMYCVLlsTatWvRvHlTzb53X4aAlbeRISoL2P/OAQMG4IcffoCLiye0wZ0i8PHxwaZNm1C0KMsAdxSct1gs2L9/N9zcGNlq48Z1aNu2LT7//HMrmYUfmyJw7NgxtG/fHhs3brT/5RzoI3kXVVZ4su7evXvRoUMHLqhBxzN5fE0As7PU8to8ChYkf4DOzwkJuWz7vvmmHdq3b++QxEMJcVplAfLZ3V0dmEwLcuSw2HwOjx+zsdzZ+54zZ05s27YNAwYMsMos3wadwz09q2LUqFFYs2YN3N3dbTavyUTUZ7p27YrDhw9jz549KFqU/JF69bpi7ty5iIiIwMuXtB+HAQgGsw20ZMSgoCDNNhV4cjk/fzCygL6ywP379yEiHqwki1zOi2R+8siWrQAAKilDyUsvQOz2kkhLGQI6XvP/4f59YvN7eppx5sxG/P7772jUqBF49Wtqz4eGhqJly5Y4fFguu0ICbnv3kuQUk8mC7NktqF6dVyPJAbLOKMFtE8fJM2fOYPDgwRg3bhx+++03XLtG7LCUlLOoXbuaEES+dOmSlQj3F/cNYWCkN16mWyaFi2QBishI0v9kBSr6TCMjjZLyCkUh62sy5HI7/PF6ZQgyZ1bbks6WIciUif6PGLB1S1+QMifDrZ/v2o5/9Yo9A70yBPzcqerX3t4WjqTMkwXoM00GsM/6npIVy4Ctcb8BeS4twSsLADEICAjgFAwJtGUIlJf92lCtJd8VSpUqhcOHDyMgIAClSpWC0WiE0WhU2BRm7pWtRebNm4ewsDBprqcBVTVZoGLFiujcuTOcBbW/4+MNGn8XnZ/0ShCsWrUK48aN47LJ6RhM/x/p1y9eRCjPV5fw+gxAAIAN0j7SBnnfCCUL5MljVtpD/Lo1NjYW7dq1s5K0ZD/mEyQlMSK5s2UILBZ2j5xVFpDbXKlS5H95eHhg3bp16NKliyYTHgB8fHzQqBEhVuuphl6/fh3NmjXD7t27NRn+vO8wPp6RNPiyTgw0gSWQ21Ze9z/ZByW9e4ORhdikkyMHrzKTg3ulPiqeLHADIrGGEegmTpyIunVZSb8nT/SD/XLS1datW60KTipfkBYRERFOExDT8W6RThZIRzrS8a+GGEwmrzTQqKp3zgf+9MkCBrvH3b1LFkOvXmkDUufOnUPXrl2xfPlyzb7/Ongjlspc2itDQNn2qsWAmxtzutpzqPEsbw8Pi27G8b8RPj6qoC0viZZL2KM+niEuLu6121ViYiJWrVqFVq1aaeQHnQW/QHBOWYBl+6pgsbAFvBzcFOu+OmeK8G3CmTIENKhlrwwBoHUeqBixMqi8uD2yQGoqk6yWyQLqYDc1jGXJOz6Yx5MFbkCE+NyDgoKQmJhol1xF4YgskJCQgM6dO+P69evWLTwpJYvtmC+//FKjuEG/O2NGi+1+6vVzShZQKQvwzyl/fjGLiIB3pn0LvhyAtzdjUzNlAcVXKGCxMLIADdJVqlQJJ0+exNy5c1G/fn24u5OsrHz56qF+fSIbyTuR+XWpzBm6d49cJy3t8OyZEQ8fsnZF5f48PJhjWksWePOgnVi2h73/7rvv0KJF7VeR4wAAIABJREFUC7vn+vj4ICgoCEajEQkJCYoMMFkdAwCILPazZ7cdStjyDlmeSEZrS4tlCNh+/mtVfTk2NhZ37mwTtkVHRyjKL9DMqjoAMqNQoUL47bffYDAYhKxD2bnNZ5TowR7p7nVhMBgwf/58SaLzCdiYwZMF5I5AG2guyLh+nRGcVGUI/vjjD7x6FcNtUZMFAODlSyYzredkfV3w7ffGDe2Dv3xZ+zzoWJ4zpxk+PuS/ycoCdDwHtFLg7xO0DMGzZ0bcvs2uia9NyYPP7gsLY+2Vn/OnT5/Mqd3IxMZLiIuLw6JFw4StBw/udEpi/23g008/RVBQkIbkQRANOv8VKFAf33/P6lVPnfo9Hj9+bN1P7wNhOEZHR6NXr17YsYNlccq1X2nwYcOGDQr5T75NJ4GQReWAFmzlaOyBnyOKFi0j7S3KvReDNdmzZ8eGDRsUcuRAsWLFMGfOHIwbN04IoDgz1siOYf76YmNj0aFDB9y9e9e6hW93RrCABRsvbt++jeHDh4OHp6cnZs2ahfPnz2Pq1Kn45ptvMHLkSGzZsgWHDx+2/Sc5GzMtZAFvb0asUSgyK0GVBeTSFYBMhLZvuxoMBnz11Vf4/fcLkMnD/fpNR2hoKPz8/IR5yh5p6tWrV+jRowc+++wzxMUxpbL4+JdSBik/ppMgQmpqKgYNGoRr1+TMMTWoc1sZz3tDUPslJoaUzUrlUxl1yQIWAB+ABNC2QUaxYsVQpUoV+Pv74/Dhw/j44woAWKDh4UP2RwoWdK790OAETwgEWMCXV5l4XfDZ1jw5Py0kjSxZsmDChAm4cOECNm/egLx5ybjUuPEADB061EaKoOQwvi8bDAZUqFABZcoQtayoKHLs1atXAdCM3UcgYyxdo7TVXMPffzsmcABywJ1tp0p1/JoqVy6xw6pJUTTo0gEywVEOGL54we/nlbEs0LY3niygX4aAny+obVq2bKrw/GRyfGxsLHr16qVUtmEgtlvGjDEwGoGKFfk1T04QogD/f7SkKhGVra9n8ODBA3Ts2BEHDx7EnDlz0LBhQyxfvhwpKTzz/yz3PgLAMJDyNjIpREUWMIGWx5NVYHiyQJkyZRSEAaq0dgOybern52d7T8cnaj9TMryeLemsamXBgvQ3eLLzKwAHwOyiRFBVi6dP2f92RllANb4bjYCrKyWv8GSBJtbXYwBo8JE+F1eQzOAiAKZZX1eAltkiiMGZM2fQpEkTQZVBVhZ4myXQAJGM6Awx8U3h5eWFvn374vDhw3j8+DE2btyoSM6h1yEmaZjNZgQFBQnkyPz5K1jfackC1atXx5o1a5BRr46VAnwfkInj9rLmExMTbcoHDPR/0b5Py6jdUyqMtmzZUnFFW0FKWIrjD1Vk40nEvLKAyh7i55KZM2fi4sWL1k8yWeAUeCWDCxfCFdelRVycwdZnnVEWePnyJa5fvyxso2XUAGJzzpkzB2fPnsWkSZPQv39/DB48GKtWrcLJkydRtSrpz0+eaBOJzGYzevfubUfJlc1Pc+bMEPdopi46b0WAKl2Idn5awCsL0XmCkQWyZIkGm98oWaAsdw5/vxIgrmGYPy8hIQFHjqy3fbanPMz71wIDF8Df39+aIMWP6YVBSsipS4molWfS8b6RThZIRzrS8a+GKpuYliEA9CWHAa2DiS7eUlMtOH/+om37jRvXbE7AI0eO4OpVWi9UPURaLBYMHz78/1xZAhpk8fQ02wIBUVFGQZKKh6Nay3RBYp8sIGYZ6GUc/xtRs2ZNheNanyxAJbr1cODAAYVkWCYAo0CCVI5x5coVjBw50qljZfALBGek46ijR48sEB/PAu/yIpqvmecoO4uCjgVGo0W33jBvkNPfZmQBto8PtvK1DgH7YwgFZYE/e2bQDTo/eGC03RuZLFCgQAHFGYcANAPJiucXtCyiYzJ5gDllVgI4yB0nqkpERUUhNDTU5tC0p/ChUnDhsWnTJqvzUPVbLAsyKSkJM2aIiyRKFuC/lymIiL9DnxV1wOk9p5o1ayruIU8W+ARs/E7C9evXMWzYMCQkJGgyUhwhPp45C3mHgru7Ozp37oyNGzeiXTuSNejiUtyaRSj2Id5nyf9uTIzB5hxt3pw5N86dYw2ZPjd+3pOf0duQeuS/g3duubi44LfffsOkSZM0452npyf8/f2xc+dOFCxI2uWDBw8QExMDEbI6BkDJAklJj7lyBWqoyAKExMECvHS+4RU07PXly5cvo06dOli8eKiw/e+/z+HevXvIlSsXV26CZla54oMPfkBISAjy5iXOUH7BrKcsEBVl1JBEKOyV83kTFCpUCDt37kTTpk25jGzqoOCJa7KywDHrax0AooR/fDxzQKjKEJCAlZw5oCYL8Fl8b5sswM8DtH8VK5Zik3a+ckUbdKA1NL29zbZg0oMHog146xbrGP+ssgC792fPkv/i4qIvz85v50ti8GORqCaQLL0nJLHUVNEJt2fPFlStWhXDhw93SjnpTdG0aVOcOHECa9aswZAhQ/DVV18hICAAZ8+eRZkyxCioUKEtypWrza4+mToozWCZiqztmc1mDBs2zEbgk9USaNvUZrUCTM4VAPqA9R2Ghg0bomlTR4EcWreb/Jafn1w6gzoRk8CCMwRdu3ZFnTp1sHHjRoSGhmLhwoWYN28etm/fjmPHjllrlRukMT3tygL8+LRixQqOKACIgTYTWHaTOA/s2LFDk+0LkProvXv3xujRozFs2DDUrl1bUJGQr10vC08F6uBOSjIgNhY4ePAgRo0ahe+++w6//PKLsnwSzXrLlk17n5wtQ8Dj9m1WZ5yOQdmzV7Vlt/EkBr3SVxaLBYMGDeKILXzQXx6L+M+MlJWcnIzAwEA4A2qzvE3FFwq6lr9z54miX+mRBQAStPkTLPBDUKJECRw7dgw7d+7ElClTUKpUKVtg4ckTUrqIjuVGo0VJdFNBT1mA+h3koNvrgl4r/zuvo+jg7u6OOnXqoGJFMhbevKmuI6yyNSgBhwazSJukgQcq909JkyXA6nrDerxz98JRGQIKd3eLxs7VqiUBwG/W11wAWgl7KleuLHymJCACsSyKjFy5mK3DlAXIq5ubxfZ8jEbtnFGunLgoFJMnjNiwYYOmLIsWua2/eQ8JCQlSWRhvsGxSioZg5Qlk5AXzTZDgT3JyMnr16oVJkyZxx/HXzZMFAGAGgNaQS+yw+SgfWN/NY3tvjyyQO3duNGvWTPo+ShbQkk946Xc9ZQE9ZTw65jjyLVks9LlH2z2OBpBjYtjkpGfH8mO6Xr/28KABSLquzQhS1hIgRAUKvgxSRZAMcdrPvUCIAxTEjxAWFoauXbvabLRMmSzCNb3tUgHvU1lAhsFgwMmTJxV7aDuU16akjApPjhw5cjr+979loD68rFmj0bRpU6xatQpbt25VZOvbB0/WlckCNINdFQgPCQkR1JgIZOU34iyxWOKwevVqzXf06NHDofIUhY8PIYfRecJiEckCHh7acZr6fxMSErBy5Upuz1MAN7nPJ0HsbmIzHzrkmFxmsVhw4QL7//aUBRITEzFmzBiUL18e+/bxpQOf4dNPa2Pv3r3C8blz50a/fv0wceJEjBkzBo0bN4bJZLIlAqWkGDT23cGDBx2QLVnDP3Jkv41IffXqVZjNfIJQEsTxld4nsZSMFuMATAXAX1dGMDUWgI0fZBwzGCwoWNALbDyjiTO8isEl6Xf4/ygm/xw+vNlmP9gjC/BJVwEB47k9/NpyDciccgKyPQE4VkxLx/tBOlkgHelIx78askw9IAYe5cmcD2xrlQXIeUuXLsfQoSxD6vvvv0ODBg2wbds2zJ8/H8yo1B8izWYzFi1alIZ/8u8H7wChThKz2WBzostQZSnwoNnj9oLBfJbof01ZwGg0YsCAAdLWPNx7RhzImzevTh1pBu2iACDyd5MBOC8funnzZmsmXdogyu87dvw4KkPAB3ftlSFIK1nAw0NfspoPCNKxgD9PdT18Vj1/HuC4DIHFQvrHq1evcO7cOYSGhtqcn9evswFIrovu6+uLmjW19cmIM+6MtI2d6+JSCCxD7R6A0dxxWufT06dPbf3QXrkH/h6oVBu0EqM8qUWUTN61axfCwlgtUZUTh8/y4H2MNNGGjgP8ObGxbDw2mUzo27evdE1FoEaSLXvg888/t7VtZ2NbvE9PVbMPAHx9SaN5+JDJlPMkKt45y//unTvsPzVrlmSTNhXJAtrAhdyf3kZmCN/W5XZvMpnQr18/nDhxAjt37sTy5cuxceNGXLx4EVOmTEHOnCwYkqpkl/Ftk2btZ7O+Ruucw8DXs6dzxsuXBpuj0NvbYhtTXr0y2O6xXJOd4tGjR+jQoQMePXoEUquXJ7+QkyMjI+Hr64tly5YhIKAFXFyIl/vwYQ9UrVoVLVu2xMaNGxEeTn7Xw8MCT08I4B2leio99BrfRW3PAgUKYPny5Th16hR++uknNGmiXZBryQIzwAL744U9+/dft71XBVxevXoF0eGcEcz5K2djvDuygOpelimTisKFyTWryQK0pIUFBQuS9shLIgOMLJA1q1qS832BD5aePk3+i4+P/nzFP6uwMPafxFIseuUornHvX4LWtiaIh9lsxu+//45+/fo5VAh5GzAajWjUqBG+//57/PDDD+jbty8KFCiAokXJWHD3rkkiAPJ9m45DotESFRWF4OBgANrAD52DVFL5JJMvGsAYAL9r9n700UfYsGGDjtyyFq6u5P5lzZpbqolLyQJ3wQdRS5UqhW+++YYdVbQo2rVrh44dO6J69epCwJ0PUjijLCAGp8T1lFYBi3/uH4JJgouOeYvFgi1btjj+cQn8tefJY05Ttjs/Z3/4YSe0bdsWU6ZMweLFizFlyhTUrFkTnTt3FmxmWrJANd97eLD53Fnb9a+/yIBUqFAqChQg33n3LvsTzigLnD17Vrp3PHlTZqyKZQh4rF+/3okauOw/6pEX3gS0T929qyIJ2iMLqDFgwABNiRIafDGbDXj61GBTVMmb1+x0AIsGJ549M4IXA6NlCPQyidMKVVmzNyn/QFVvbt0yCW2LL0MgI39+ck50tBHx8UDevGXBJPupPc+TxUqDR6lSpeAM+DIE9sgCuXKZNX2hR48eim8MBmvjX9q2ZsuWTbBLAbFOdq5c+oOIr68vpk37wfaZEjqp7akiNvCQyQIABNL2hg2y/DdAAr8DwdZ3xH+QmvoI+/fvF7J68+WrAC1ZwAOEaK4CT5pgQSr7pF6ZLKAHSv4ygdn2jMidK5doV9B+SYOkw4YNg7tNnsEEVlpBDCaWK1cOrVoxMohcTo7+FT1bkq5rk5MNdtd+1KeYObP9MTJPHq0qhB5Rge9vev2acd8pQacSWPCRD37fAwv89QJAk1AeWV+5rAhu/r1586at5JLRCHh6sv+Xmiqx9t8Q/Hr3bZOgnYG6RChVVriq2ZOYmCiQI1+8cEH58qytzZkzBMuXL7cFlNMK3v7mybpmMxvzVYFwWaWRQC5DQPvOK5w+fVpzNBnLpmm2y6hZsyZKlSJ2Jl1Xv3hhsCW85MlDxmMtiZS8nj59WpFxH8q9p22Y2OA3b+oroKakpGDFihX48MMP0bp1H9v2qVOHYN26dZp1RlJSErp164aFCxda1Vr4vnsJN25cx2effYbNmzfr/iYFv7aSlUPVZZyKAxgBkrHPDAuLJQmLFi1CmzZtUK9ePSQm8sTicxDXIJSwak9ZoDmAH6y/xROsikOMVdDxg/hXvLwsyJIlM9zd6XhFiS50/ngMre+QJkKGA3go7ImJeaEkN8oQTUz+efE7qHLRSog+RYJKleTSXen4J5BOFkhHOtLxr4asLPDXX38hKGi2bVu7dr0xbdo0q9PfPlkgOZlKj74Ac0gAgBlXrlxBr169sHv3bmjJAh8BqKu5ti1btujIif83QYOJXl4WwXDVMwgc1Vpmi2P9qUarLECDiM5f9z+JHj16SBKzWmWB7NmzY+XKlcjER7wUUO+nzPLc0Eo1lQSRBswubE1NTX0th+zrliHgnT88+OCufbKAc6YIHQv0ShAAYp+nxipfhsBiseD48eNYtOhn23GffdYXs2fPtmV6iNnI6t/hFxQTJy6En58fGjdujJYtW6JKlSpo2bIltm5lrGqVZLWWaKJGhgzsIkwmvkblfQBHQQgDWwGshwxPT09Onl3/PjsiC1y+fFnaolYWAEhAgJcktacskJoqOm6oM44631xdWW1QmdTRp08fdOjQwfrJHWzhITs+2A/s378fCQlkUSLW69YHTxbQCxAWKkSer9lssMmC8wEZ/j3/u3fusGdbokQqihUjC8p1625j9OjRCAkJAU26f9fKAjxBSK/dG41GVKlSBU2bNkX9+vXhKUfHQQLU2lrAF8GeQxXrK1nMZsjwymGmBu+Mpf2ZJ7HlyGEW1EroXCaWFGHfMXv2bImcdYV7z+b0ixcv4uLFi5g9ezpSUki2gtncGPHx8QgNDUW/fv2wciWpJapy9uTNq59RQsGUBZS73wp8fX3xxRdfYMQIrTM5Y0b5h6MAzLO+bw5eXcBsJmQ4gyERp079qSF5kLIHvDOgGZjCjl69d30n6+tCpQhTuHAqypQh13bliraBM7IAK0MQFWUUMiFpGYJixVLfScats6DS6gBw+TKZrIvocaVAVIDonKVXhkCfLCCP/XzWCbs5wcHB2L59u93rfpegY/Ddu0ZBXUR0QtHBXOscp/Ux9ZQF1FmtK0Dsrx81e/r3748///wTWbJk0ezjYbGQep6tW7dGTAwZkxYsWIqbN2+iWbNmVuc0dSKyLPi6deti06ZNnPqJffBjujNjjZ5TOCEhgStHRMGPA0PByAJah7BcP9kZ8AEWPfUMPfCkh7t3Y5XH7N27F5988gkiIiKQksLUaVTKAgYDI0LfufMCo0aNQt26dVG5cmU0bdoUCxcuxIsXxD6KiIjA0aNHcewYuT9Vqybb2um9e2LQgP9+FZYtWyZtsacswPdlkSwQFxfnVKkyarO8SdBaDxkzknH46VOZaewLoLH1vaPMa4I+ffooVdv4TM3ISKOtpAwlazgDXj2HL0VASSJvW1nAbH69MgQyqOpNfLxBCE5Re0jV/0WpbBPy5uXHOxqI5O0kkSzQvXt3p66NV6LjFeJktThVpm3RokUlEhVA2voy6/vGoAHr6Oho1K5dGxMnTrQFl/g62Rs3LsLkyZNRunRpmEwmmEwmlC1bFlOnTsWBAwdQpAgLeFM3D13rytcqzxnly6vIAoy0rSbzBwOYC6IkCLD1fgTCw8MF4tLAgRNQvXpvAICnZxjYfMYHkQqDkNjmgJE+U8ACQSq8DlmA/z5KSmD3rmBB4WCbHRITQ0gp5cqVQ1BQkNX/URhMHYG1tbJly2L16tXCuoK24fv3w9GyZUvs2/cXAOD8+UP45ZdfNMkXfLKAvWQU2rdr1y6NMWPGaBTsihQpgh9//BFdutQStmfKpE9i4/0pesdUr06DfPT3eHUhOVOeqgvQcmKvANQCcFw6TpzvVqxYgU2bNqFJkyZ4+ZIpujRqVA9jx451Qu3COeip1L0vqMsUzgTQEUA3zZ4CBQrAw4P14+hoo0AU9vF5MxUxb2+LzU/Kj8fR0QabP0CllqRW66IEO9qxGFlAjwTYvXt3LF68WHlfXF1d0a1bN6xduxZubuTa6LJOpZon+0BoogK1eUQctb6mgrXhKOt/U9utiYmJ+PzzzzFkyBBcunQJtJwJAFy/fgADBgxAnz59hP86d+5cHDhwgPsW/j4QFWGz2YxBgwY5TKTinwNdE1JERETIh4Mo20wFMAtiWZhkLFmyBEePHrV9ZuBJFACz64mygI+Pj4b8SJTLKPi5ubR0XAHkz58fDRuSUkF03ilQgLYTWVngIrSYAeBXAFpyXrZs2Wx2kX1lAfpOb11JsRZknhLh5+eXThb4lyCdLJCOdKTjvcFsNmPfvn0YMGAAOnTogO7duwuOFRX4oPEvv0xEs2bNcOgQC4SGhcVi+vTpKFmyJDZu3KhLFjhy5AgSEiizzwRx+GPGAZHS48kCrQHsBrAXjLFHkJCQgOhoR1Jl/x3w2RJ84EPPIKCOZr0sJepQsyfVySsLZMrEy5MbnK4v+k/CYDBg6tSpmDNnjjWzggX0TaZ86NixI3bt2oXy5cvrf4kVderUUbCWi+m8B4ClAH6GmF1OoDZq7SOtZQiow4R/hjz4THY5A8fFhSyuAeezs+gC3x7ngr991AFLx5CMGVPx1VdfoVWrVjhyhNUovnfvGQICAlCtWjXMmzcPP/003bYvMHCBdcEigl9QrF9/UON8DQ0Nxdq15wEABQumKq+5adOmGDFihP6fAclmnDPnF9vnzJkrcHvpYn8yyDglPnMPDw/UrFnTRtqxd59pIN7Dw6J0UmolRp+AjZP5IINnftsjCwBi+6HvVSoQMlnAaDTif//7HyZOnIgMGfgF01TpasTFSWwsWWwrkw8U4MnycgCFwtdX61TWy64QlQVIgzUYLBg7thsuX14GAHj8OD8WLVqEHj164NChi9bvvWaTtZODq29DWUB08Lz+93l6eqJ169bS1iQwqbuqIHMrCaJVqlTIodycSBYgrzzr39vbrFQrURF/4uLiuNrsFHwWk+igmTVrltXxSCV4i4Afi6Oj3azXoHXU6Mm/86DX+LbrhqpQtmyqxrHdp08vxZHToVYXIH3dYglDt25d0ahRI0FGun379hAdNZ9bX19AW2eaGXfPn9+z1jN8O1A1pyJFUlG2LLm2mzdNgiJOXBybX0gZAmZI8rWuqbJAkSL/XAkCQMx4pvN24cL2z6FSqHw7FAlTsmOSOrAOSdv5IKXI6lyyZIn9i3iHoGNwXJxRUGwRs9tpdpnWYUizLPm5B2BjbatWrZA1a1bNeSpkypQJkydPhtFBxC8lJQX9+/eHv78/jh07BkZUyoAjR45gx44daNasGTw8SB3i/PkT0atXL+zatQubNm2Ct7e37nfLEGWHHY81slOYkq3UKjAPIQZ3zSA1pxdojnREmlWBn4+oXLqzyJSJb6P69+vevXsYOXKkIFWuN99Tm2r9+l0IDAzEtWtkbj59+jTGjBmDChUqoHnz5vDz80ObNv0RFUWyPf/+exk8PaOsv8fGFbEMgfr6zp07J22xRxY4AhJsOwRV0E9L5tOCPu+3qSzw8uVLLFq0CHv30gy/zNxeA0jQ1wuk/Uyx+12lSpXC3LlzERAQoHCsa8kClCTFj+2OoLcOpvYFT+B8E6gCRW9y34sXZ/+REtwAXsVI+918vwoLMyIigl+LUmWBh2DjaRnb3kqVKqFRo0ZOXZteGQJKCqbQq089efJkdOrUSdpKS2sYAfgLe+bOnYvJkycDYIohAODj44Evv/wShw4dQnh4OMLDw3HgwAH07t0bnp6egj1GCZ3UZuCv+8aNG3j1ii0SjEYzSpTQJws8f27kMukpcoMFif2t/4P6EiLh7u4uSIA/e2ZCZCQhYbq6ngUrR0fL3RQFCShPAjAIQDXr9kuQVXVE0OuOBlGxcQZXwMgKlAjMAuxyuSq+T1EbvkGDBjh27Bg++eQ77si/Ub58ecyYMQM7duxAnjx5hO+xWEhjvnDhCkJDQ2GxkLHk1asITJkyBbVq1eICdWIZQntkAZrckj27EYMHD8Zff/2Fffv2YfPmzTh48CCOHz+OPn36aOwteyojorKAHuGcGq3ZQdQBalg/34aWOCWP6bNA/AGfgRH5k8ETnwGSqd6nTx+cPXsWPJEvJuYJFixYgCZNmijLBKUV/2QZAgBo2bIlPPgHDoC0+/VQ2X6dO3cGwOb7Z88MApmPX9+/DoxG1g8ePWKNgV/D5sqlbRfaMqcA8Jf1tQDIeoyRBXx8fBTHE7Rp08aabBeEQYMGoV+/fpg0aRLOnTuHmTNnwsPDgyvtQV75OY9ev6y2RJ+12jb+HcD/QBRfaBsm9o/JlEdxPDBy5Ehr0p7tl7n35Nlt2bIFEydOBEAIFdp1h6gsQJGQkKBQxRLBz8WRkeI4oW1TRrDAfXuIiVspEtmDdzgxUo+3tzc8PWmb9ERAwGIcOXJEmk/zgZTWpOCVYkRFn0aNPsfp06eRJQtpC3RcKlqUkjNkZQGtf5Pc5wEgsQ8Rn3zyiW0Mt6cswJYJ8lzIj0nHAfSEXFbKaDRizJgxSrsuHe8f6WSBdKQjHe8FN27cQP369dGpUyesW7cOBw4cwM6dOzFmzBj4+flh6dKlyvP4ANGmTVQKmw/Qk+zEV69eoVOnTti796BtD+9gWrBgAZhDRZ8sIH7OBMKwA4jkkyz75pzT5b8CPluCX+DpkwVoloKesoBjqU49ZQE54/jfDIPBgC5duiAk5BBImyH4/PPhmDdvHnx9ffVP5pAvXz5FbVueIMBLVBlBZOoA3mlDoTVqHeN1yxDoiWuIZQi0iy1nylQAREp/7ty52L37uPXzXfz5pzarlVw3e08DIbSNnTlzmJN/5LMNiZMhNjYWEyZMwN69B2x7du4MRsOGDeHv72+VNyPIkoV3uMiKDxTkuURFHcKqVauUrO9vv/0WixYtQtmyZTX7GjRogC1btqBZs8a2bWYz76F4qDmHR8eOHeHl5eVUP6SqDXoZvkWLyvJoSWAORK10WrFipN3eunUL9+4RR1pKyjMbiYD3ldHnk5zMxhQ+YEOvSSYLAGRRQeSvC3FbN4HVmKfXypCcHG+9Hs3XKSGWIVDfH1XmgZ6yAF8nnJIFTKYw7N0bAuYIyAZaVoHW0Lxx4wSqVq2KwYMHw8NDvPi3oyzA3r9pNsiAAQMUcyP9b1VB6+kBQKNGjtnj/HBGCSW8pGzOnBaBLEAzQ8Uxjbxev35dEZjmM+bE9sLGGb5N8eM0yXxITtbWNOflJ3knEQ/qiH4fTjUXF6BYMZHYlJwcjyFDhkhH6qkLUGIQyTS8fPky2rZta8tIqlatGvLm5cdDOvdtgOyn2XRKAAAgAElEQVS45LO7z507hPLly2Py5MlOSWQ7gupeFi6citKlyXenphowY8YOHDt2DGazWcggyZnTLPTn48fDMWrUKNSoUQ+0THtk5JG3loX1OvD21s6n9pQFABYMcl5ZoAWATwHI5bb0yQJHjhwR5sn3CZqxDQAXL9IG8BKifT8BhEw2XHM+VTeR4ziUrObh4YExY7QZMCqMHDkSmTNndnjcxIkTJWlTalew1NVt2w4gPp58V79+H2HatGmvlXHDB6HfRFnAw8NDE7ghfbksiApbcRAHdgmQoLWI+vX1pLL1wc9HVC7dWZw8yatd5NQ9DiA1gq9eZRmpevN9bCyt051NuT8uLg6nTp2y2js1bNsvXw7Erl3zAZB+SNc4vLKAHllAK638AizDVFZ6iAV5Hh9AJhKUKlXKbts8efIk+vTpgwsXTgEAHj68jw4dOmDHjh1O16VX4cKFC6hduzZGjx6NlBS6huev42sADazvZwI4rPmOsWPHYunSpdizZw8OHTqEzp076zqUc+dm1xoRYbSRvtJCNuHXwbxjnNrSb6sMgSpQ9CZ+cl7JTEUWUM2PMllAJDeGce8psZIQdEuXLo3ly5c7Lc+tV4ZAJjHqkQVcXV0xd+5cbNmyBdmz0+DMTQD7re97Q1SOBObMmYN79+7ZlAWIr4HtNxgMmnbEm6+0n/JlCMLDw9GxY0fUrl0bz56xtZjZfAWNGtWxkr8Y+HVY7dq1pX/FB3wKgthc9L9FolatWjAYWKDuwQOjLZgZHX0YjMhaGmTcXQtWAzocJPt/J4DBsA86t2uDRLly5ULDhg1RuXJlaU8qgPPW95QsQBJrPD2TNUR5vq3zah358uVDxYpEIcRgsODWrR3Yt28funfvriFXJCcn49o1GuSikxn9v2Rt/+LFC3Tt2hVXrxLZ+bQqC1D/hMlkQvny5VGnTh2UKVPGRgCkpeco7JXS4gkCev2aXyuYTL5gNresKgCwcR8gmeaUIH8XJPgWC0AmRMtlJ3g/KrHNHzx4gK5du762DR4bG4vffvtNqFH+448TsGjRIkXJi3eHLFmyoFs3rYKACmXLlsUHH3wAgCkJPXtmtJH5cuQwvxXlM/p8eYU5vv2rxrt27drBVWOsneDeVwdPFqCkBz24uLigWbNmGDduHCZNmoR+/fohV65c3H7ySn1n/JznSFmgatWqmrIvxC4cBJLYREHWTR4eWr9oWFgYVq1aJW2lygIvwa83lixZgqdPn+L48eMKtSqtsgDFpk2bNL/Lg19byWUI6taVFYZ9we6/O4AO3D7ZXuOviSkLPHv2DD///JXtc4UK7bFmzRopSUme03j7XyQLuLgUgslk4vz55P/Qtp0tWwl4epYBUwRVKQuokTlzZnTs2NEpsgAjostjyXEQxYmDIElOInnN1dUVv/76Kxo2bOj0daXj3SKdLJCOdKTjnePu3bto1aoVrl27ptwfHx+PESNGYOHChYp9vGVNlQF4ZzcLOqSmpuKHHwJsn+na9fnz59i1axfYpCWTBWTnE/1cHGIdbFGOrGTJkk5nGv0XQIO7Xl6kHi8NGDtSFtBzPDpHFmDvPTwsuhnH/wU8eSI6KGJj0x6wnzBhAifJ7QUm4QyIxAFfMIey2C4BoF69epptjqAKrNkDdfTwspI8eGUB1ULaUfuwWCxYsGABKlSogIkTJyIyMs56/CN069YNtWvXFuTuAXFRTmN8dAy5des8dyS/cJXl0Pg/T27K1q1b0atXL1vg8ORJPktWjyxAnGkJCWcxePBgdO3a1VrTW0Tbtm1x6NAhnDp1CosXL0ZgYCBOnjyJ9evXo2rVqkL/evKEerAiYC9DpFChQvjuO5Kl4Uw/VGX/81BLjKrrrNWtWxfPnj1D+/btUbNmTdy8SRZyf/21D7Vq1cLy5cvh7s4WZPSW8O2I9w3RsghiHWqGV69eITmZ7wN3QDKjKeRaaGTg4oP29iCWIVA7MHPksNiUMij4zCQ9ZQFasiAlhbbjv9hOWzYQdRoSssWqVasQGio6895GVjpPEHrTwHWZMmWwcOFCqc43/W+5wSTwgCJF1AEXHrwjmc4LfICXKAvwNSdVZQjIq1rakQYm4iDWZOdxBywo8zG3nQTOwsL+kk9AxozM+aBXhoAp9LxbZYHIyEi0adMGFy+Kdtb8+XMwb948fPzxx9IZvLrAzyBZuVRd6ZHtqPv372PWrFn4448/UL16dYSHa0kTRK5dBj8WvkRsbCxmzpyJ/v37a2pSphWquMWDB/vx009MrnrmzD1o3bo1ateujTVr9tm2e3tbULAg+/1hw2YjMDAQt28D1GFz4MBCVKlS5R+T3edVmCgcKQswZyW7OaKygOzcegBgI7TOHt5RrZWUj4uL02x7H+Cd94wsIKuW3QUwEiI5iICqochBK35O7NGjB8aPH28342XkyJHo27evw+uNiopCYGCgtJUpCzCwNUihQq/fL8QyBI7HmgwZxDZGzzEYDOjatavijEgQBbab0KpUEJQsWVIRKHOMNylDcPDgH9wn6syuDjK+ieVvzGYzduw4ZfusUha4d+8eHj+m87XjuQuoaX19BeACUlNvAAAsFgMePDDa3lPokQXUpOOmIASN3524DgKxbBqDxWLBtGnT0KJFC2zatAkWC32GZhw4cACff/45vvzyS5160Pbx4MEDdOzYkVM8o/Y3JQuUBPCT9f1lqNTSypcvj0GDBuGTTz5BhQoVHGad5chhhsFA2uy1aybbOoAf2x1BX1mAvH9bZQjUygKv/33Zs1tstuqNG9rxXmXf5cxpttmAjx4ZbYEAFxcL9u9fj08++cQaKP3but0P48aNQ0hIiLX8kHPQL0PgHFkAIGOQl5cXntEaXQCAxdbX/BDJnKRtBwYG2pQF9BRDePD2GCU40Gs3mZLRokULW+ka5psCgHO4ceMGOnTogIMHWfIKVaF48cKg6IMlpc8swz5PHoMtCEcDdaGhrtyYcQnADu7cbWBB+wkgBM8KICUKZJUgGeNAbNsvNXvatm2LdevWITg4WOFfoLXVRWUBHx/Hih88rl8nbbVgQTO8vPQXIdu2bUNMDFVzUJMFAGKL/PILUebjy+vpmSgWCzRBNj3I2ebOKwuoj+HntSlTdoKuq7Nnv6k4micQ/AjRztkMYqs7CpbzflQ2pl+7dg1//vmn9nAHuHXrFho0aICRI0fi4cPbtu2PHt3D6NGjUb9+fV0f8LvAuHHjbCQAPeTLlw/Lli2zEUAoGSc62oD798m2Ny1BwH6LfDdPwuLbv2oOyJ07t0JF5QKY76cGaLC6QAFvpxRM7YHaeImJZvz666+YO3eDbV94OLH7ZR8InUvc3NzQo4dWtl4LSsbUEjdXr16tWPtRYqqoCJGYmIj169frkLZ5wrKYOe+I5O3pyexemSzQqVMnKRFLTvL5iHsvr5toH4sAr9piNptx9SrzJ06atAojRozgyiUYAXxBj7a++oDarl5ejIwKAOHhZLCh/ldqo9DnZrFkw9y5bL3brl1JTJo0ya4qBcCUPDNnzmyzi6KijFAKjYH5kw0G+YBEkLLODcDaAkHWrFlx5MgRq0JhOv4tSCcLpCMd6XjncLYW1oQJEzT1hGjGK5l4qSONN4xFZ82VK1dt76mBHhkZac2IoJOWC8TaQnrKAjLEoGzPnj0RHx+PoKAgNGnSBIULF0aRIkXQsmVLbNiwAYl6Kdf/UvDZEkYjW9TpkQUc1VpOq7IAIQuo9/0XIBuW8mdnUKhQIWzZsgVFihSBNmOb/8w7F8R2WbZsWVSvXh1pxeuWIdAjC4jKAvpkASr7J+PXX3/F2LFjuX5E66OTrODbt2+jdevWuHWL1fHlnWAyWUB06PBkATnLio80MYN/37592LKFlEBZs2Y5AOqsoI6ybCBZ0wYQBw1l7l6xnT98uDajESDOr6pVq6J9+/Zo3bo1CnORH97RQB1EefIkKRjnBFWrVsXWrVttEsX0PsfGGnWz6SlZgHeo8OjUqZOi3h11YrB2aTAYUK9ePbRu3RqHDlHHFL2/Mbh9+zaGDh2K9euX2c6hYzzvwKEBm+fPnyM+njiYL168g8OHD2uy29zd3WE00hrJUSDPdi+AsSAOxD3SdVOygPKvakDLEMjZSDwMBm0gR19ZgL2/dYu2TXovr4K1U9qWKCGNZYI8fCiSZN6+ssCbO8FbtGiBHTt2cNkRLJhepsw3tvc0g8ceVCSyJ0+o45uoCvDOOjrn8PeaOsILykVUARDnWwOQup/2MmCoE60hSEDPBEroioq6qFQ7UWWU8GAKPXZ+9g3x/PlztGnTxirLKtdLTEZSUpLCQcirC9QDkRWn806YcOTvv/+Ovn37WstkyIPMQzCZXB4iWYBi8+bNWLFCRS5wHgaDSH5xc0vGgAHtce3aTrDnS6Tdb926hZ9/ZsE2b28zMmaMh8lEHU6FrK8luF+4hvj4ePj7+wsBgfcJWQ7UWWWBqCijTQ0oLo51kAIFtOVk1NgPUld5AABRstZkMsHLS12L9F0jf36zbdyiNoW7u3ODfPHixW0Z7zJZQLZdBg4ciKNHj+KLL75A/vz54eHhgbx586JXr144dOgQhg0b5pR85tq1axWBV62yAD+/8uoJaUValQUAsY3x80PPnj2RJUsWxRn6cHV1xbRp09IkLWqxWHD48GG8ehXLbVORkfTx/HkkWGDEG2T9twVEXWK85vjISHaP5Sw6gIx1bC5OC1ngNIjtwezVu3eJccf7x/VuT5cuXRRbI0BsHefm67Jly+pmHy5duhTTp/MkS0YWoNiyZQtGjRqFtGLWrFl4ytdzEsgCtUECXO4g9+dzyCo0OXPmRGBgYJrajqsrU4Y4c4Y1+LQoU2TOzAjsNHienMzWFP9WsgDA1AVo6RyAOfBVynEmE7NVwsJMtv+bO7cFDRrUR1BQEG7cuIGvviIZf6mpBeHvPwienp6a77IHvvwPTxDgiQOAfbIAABw/Ltdn/wNsTTZAc/zixYtx4gSxs1X9WgavLCCTBR4/vm0rCUbAB6dIUC0pKQn9+vWzEcSpffrihQGlSpVCnz58DWqZLMAyWB8/PocKFSpg06ZNtvGYL2FCgmHXQcisAElyAYjNFYC0IRnALmgJ1mz8cXNzw8qVK/HZZ59xahKnra/Z4elZHr6+dQCI2fIU/HOVfSSU2FKihP0+SsZgOnfSiUlLFgAIsSAyMlJYQzC/oojYWIONYOxoXZInj1kg3dnLPndGtY0nCxw7xsg3S5b0U5RpuwagP8j8NUfxbc74HumcmAx5/kir/R0dHY0OHTpwJQx4u4a8f/jwITp06GAt6fbukSFDBqxatQrfffedkD0PABkzZkSXLl3w559/ClL/vLLA/fvkQfn4vJ1SM7QM2KNHRkRFRWH27NmYOZNl0V+/rvVtAKTsSp06dbgtyWBlKGqAlKwAWrT48I2vkTazsLAIjB8/Hlev0jYSiWbNGqF9+/bIkEFU5eN9G19//TWqVasG+yDP/+VLF02gWU0moesSLYn/xo0bOiqqf4D4fcZCJgw7UwaLzsfy+OTl5WUrf0Agq7ryx8u2PZ0j5PU3kJh420ZOO3nyqbS3CZhC32+2ra6uNdC3b38kJYkscUpGkdWP6Jz34oUBN26QOdtgsGDGDH/069cP27dvx4cfqtuQj48PVq1ahebNmwNgikupqQabH0YGfbYZMzrv2Pj222+tvu90/JuQThZIRzrS8U5x//59p1mqKSkpmnpC6kBfKtiCQM7sZ0Y1Ncoz2lahfBkCPmDwCCJk45D+NgvK+vn5oUaNGqhfvz6GDRuGs2fPIjY2FjExMQgNDUX//v3x8ccfY//+/fjxxx8xdOhQjBs3Dvv373/jrLl3BTlbghoEemQBR7WW6WIrIcEgOAh40OdrNFrg5ibXpv7/jywAkOyro0ePYsCAWcJ2Ly9e/o8PXGQFDaS7ublhypQpDp1qqampCAkJwezZszFr1iyEhIQgIYFZ7s4EC2mNyYQEseYqhWOyAGlfvAIBxaNHjzBp0iRpKzXy2WIlOjoaY8eO5a6bHZ2aakBKCiO1iGNIHFg/l8kC/MJcXM0sWbIEKSkpuHz5MoijFiBkAS8Qh8kpECdNO+4sFthdt24dbt++jbRADnwBQJUquXD+/HmMGTMGH3/8MRo0aIDu3btj+/btCAkJQd68eW3H8hkSqnsNOFYW8PT0xJo1a6QMIur0LgjADQaDAWPGjMHs2bOl7G1GFqAICVlve0/7Oa8k4uKShNGjR8PPzw937hDn261bkWjXrh1q164t1LQzGAzw9qbkGOaIJ46yPhCDkoCbGw0kp01ZwFE2kixLyY+L/POj7TEuDoiKom2NkgVSwbJ0moHIkdJxhM+iEgPacr3X18HbLENA4efnh4ULF+LKlSvYseNnuLqSe+jm1sJ2jKMMHkBNFqDjK8kghFSGgByjUkvJly+fTsbJQTiW5KMZXJkANAbJjqDPJ1xDFkhISAAtF3L8+AP8/PPPmpqg70NZ4Oeff8aNGzesn2RnhT3J0R9ASggAZJ6htpRoMyUIE7z8fauhDmapyQIAEBgY+EaS14DYnpOSrlivwQL2jP24o9m4Fhz8G8qXL4fUVDqWFLK+8nMu6a+pqakYM2bMG1/r6yBbNvE+OyYLsLYZHHwGPXr0wPTpM61bkuDh4Z6GevJTAPyq2dq0adN/rDSXqytQoIA4lhQvnsth1quXlxcWLVpkyy5zRBYg31scP/30E86dO4d79+7hwoULmDZtGkqXLu309cqqSATUya8mC8hzjDOIjY3F0qVLsXo1CwBMmjTWWufZfrulznNAJBjkyZMHK1ascKrUAgBkz54dq1atSpOqQGhoKOrUqYN27doJZIHRo7ujXbt2ePjQfhkmCnKNlKyeEyRzlmarqa6HqQ3IWXS7du2y1seVyQJTQYJ1cokFE5hCEB13mf136xa5v/xj0Ktp3bx5c0U5KOdRsWJFrF27VulcT0xMlIgCACMLiG0uKCgI9+87T9iIjY3lyn9RUPvFBCJJS6V0A8DsHwI/Pz/s3LnztZzINDB5/jybDNKiLGAwQCO5y5PfnbFdnIEqMP62yAK0DIHFwpSW9MhCNGBJyhCQ8/iAr5eXF2rVymr9PoNQ4sBZUPvNYLAIgSbZhlWVZhC/R1ZpSwRT2GgGYvszpKam4soVooTjjLIAfz2UXEdfo6Nln5GWLACQLFZKMGdl98iDnThxIqdAQ8kCvDQ8RQRevHiBPn36ID5e7ncxILXqAVaKACDjXVdoVTMZ3NzcFGpSajRq1Egolefu7o7Zs2fj7NmzGDNmDJo3Z2Vppk3bC4uFEMtVKjBeXhabrctnVlssTFmgRAn7Mvhnz54FC8a5ghCN+NJDDHS97kwZgufP2XZ7ZAEypwaCJ0seP74TP/74I8LDtUFNZ5QFcuUy28b+XbtcredZULkydJ7TAgATYd9+twfa1rQqQHfu3NFss4clS5ZI5Bk+UMquLzw8HIsXL8b7gpubG4YPH46zZ89i48aNWL58ObZs2YL79+9jzpw5mnJKdL5/9sxgI+S8js2lAh1HX7wwokKFOggICMD16zSQHY3OndugUaNGuEtrnVnh7u6OtWvX4vvvv+f8OrQUQTUYDGQ+z5ZNYlu9Bk6fpt9L+5IYqD906BA2bFggnMMTZtzd3bFu3Tp8+umnNnuaR9asWdG+PVl7WywGREeL/VDrtzSBlXHSEgkMBgNq1qzJ+fgpwkHW51qylCO1CYCRBVSB8B49emDKlCnWBAg6JsplDQFtv5wGIsH/k+bIzJk9OAUL2caj81g0AFYGrUmTkejbN8BGYCtZkvxeVBQpb0XnGUoWoHOexWLA8eNkfPH1NdvKxOTJkwdr167FsWPHMHz4cHz55ZcYMmQItmzZgpMnT6JRo0a233amTDFNPsuUKYOtLKk9lCtXzunSIel4v0gnC6QjHel4pzhw4IDCIVUExOmulUPcu3ev8JkZ9fJkTJ0/siOQWeU04FmgQAFrNiFPFqAT8ivYJwv8Dua8IGSBatWqYd68eejatatdp8nly5fRsWNHzJo1C8uXL8f8+fPRsWNH1KpVS1PP7p9GSgq719S4oE6SR4/UCytHtZb54I2eugB1HHh4WGAwyHXl0vAH/gWQyQF6jEtn4OLigixZqgjbTKYSCAgIsBqpciZCfmTLlg0rV65EzZo1YQ/Lli1DkSJF0KpVKwQEBODHH3+0yusyw9o5ZQHq6DRApexNyQJubhZN1gggZlrI+P333xVZuqKyAMWePXtsATie5JCaqlfGBCBBIzqGyPJb2jIEFCdOnECDBg2s8pc8WWASAMrwrQdgLneWGBR4naxZ+XkUKGBGzpw5MXjwYKxYsQLr16/HjBkzUL16dc2Cy5l+6IgsAJBat3v27MGAAQOQLVs2sMC8ER980BPBwcGIj49X1KzWkgX4Z0HHAJ4s8L//TcWiRYusDkFRsvbmzZvo1q0b/viDyQu7uVFns2MiRr58RHHBWWUBShZwlI0ky1I6UhagWYUEvNQklUEuCyIpSsGTBUSH2NvISucX/W9ahkBG1qxZUbWqH8qWJX2ad947oyzAl6WgzYuWIfD2JueLygJkn6oMAQB89RWrEZg27AXLyOkAVk8RyJYtUSi7sHLlSlSoUAEXL4YAAJ4+zYipU6eiWrVq8Pf3x8uX5BnSsfNt33OKuLg4rF69mtsSAZaFBmgzIISzQf5nA4hBnKvKowlkJ4neeKdPFvj77785csPrQSS88f3rgvWVJwvQzKNUTJ/+nfXZUEdwIesrnXPvg7/2q1evKrIc3x2uXbuGAQMG4NKlfdzWlxg+vDeuX5drlzPwQZ/+/QMQEhICi4U2uiRcv34dcXFxyJUrl65qjSP4+/u/1nlvC3Lmvbe3G0JCQtCgQQPl8dWqVcP27dtRrlw52za5vIO9WsRvAnWgnq5FeNIBWau4uz+DVLrZIU6fPo3q1atjxIgRCA9nwfU//wxGy5Yt4e/vryyNRMEHy2XCYs2aNbF7925069ZNqCltMBiQPXt2FCtWDA0bNsSMGTNw5swZ3WegApUiZWMA/1wf4PDhw2jevDnCwsJUpwv46KOPwOROvUEy1ynKA3ATjs+Xj40L/Ny0bNkydO3a1VpmgycL9AAwAmSc+A2iat0HoJl/zMEfDTqHXL1Koo/OKAu4urpi5cqVAhFUhVq1aqFGjRrIkSMHcubMiQYNGmDJkiV25eJDQkIU6n9aZQGAtFuZ1G8PV65cUdiEsnpPLIjSg0wQJpmVjiRy9UCD8Pw6IC3KAgBbB1OnuEgW+PcqCxQtSubhhw9N2LJlDx49Yhm9KmUBgN2bR4+MtgxFPjAAiIHcGzfSbrTQLP2MGcW2LpO0HCkLqPtBAJhtMwdMFp+CEIGSkmSfjxa8zU59HWyNImc/8O37vLAnODgYACOWvHplQGIiUeEJCAjA0aNHYTTSoFMwSBkOHhG2d2fP7pb28RLbfC3unpDVn3j4+vpi3bp1CAwMdDgulytXDvPnz1fuy5s3LwYPHozAwCE2csXff2eytZ28ebV9zWBgzzYykjWAR4+MiIsj5xUvbr+PpqSkQCQL8HW7tc82OTlZKkPgmCygRwR68OABGjdujFGjRiE5mQUwExMjMWvWLNSpUweHDx8WzuEJYHr92tWVjQP0PpQpkwp3d+CLL75Qn+Qkihcvrti6HaQdb9bs0SoZ6MNsNluVHnjwDiFxfbFixQrr83t/cHNzQ/369dGlSxe0atUK2bNnVx5HyZHh4UbbnPG2yAI8cSY5mUrwU7ICVU+8iNatW2sIJxkyZMCQIUNw5swZbNu2DV99VdW6xxMWC/EjpNU2lHHhwgWcO0fLW9DnT8dYdj1RUWIJLzfRfIKnpyfmz5+P06dPY9SoUejatSt69eqFuXPn4sKFC2jVihE0nz0TO0OZMnKmfg0whc5dmmsuXbo0smXLhjZt2jj8fxR6ZZh46CkLUPj7++Ps2bPImpX+l/2Qx33tuno1CDn1BGR88MEH8PSk4zwfWM8LoKX1fRBIqS9iE588mSyUGKpXj/3e48dGm/+V2ihUZQkATpwgNmrp0tp+WLx4cXz33XeYP38+ZsyYgRYtWnAKMgR8eSZKopRBu7irqwEbN24UyGYyqlSpgnXr1umoRKTjn0Y6WSAd6UjHO0VMjErSdwhITblfNHtiY8VAIDPq5SJjNEjvK23nyQLk1Wg0Wmsp8WQBOiHfhjbrLYZ7HQmaGQgUQPHixREcHIx169YpGcTO4Pbt2+jQoQMn062P5ORkBAcHY/To0Rg2bBh++eUXTWbi2wCfcZwpUzLWrFmDU6fIIvf8+QiUKVMGEyZMEMgRjjIieUcbDd7IoAY5NXT/y8oCcv29p0+NeBMRCVrPnCI62ohOnfrhzJkz8PVtIuzr2zfAKYfsL7/8gi+++EJJcomJYQ4PPWcSD54AQB1AFM+ePcPFi/esxyUpF4e0fajKEBw4cEDxi5QsII4FFovF1pd4m5YnwKjOY8Z9JWk7X8dWy1hhUmnUuK8CJnt5HeIi4THkbJGrV+0F2tSQn0eBAs4vYFUZ1zLoOGuPLAAQ9vGECRNw8eJFBAYyOdq+faehRo0aWLNmjXSGK1iWJB8QZPdVpSxw6RK/oJLr2xIHxddff43w8HCYzcCTJ3SffbJA9erV4eND2PLO+iuoD12W/ZYhOxX0gu9JScDRo0exaBEf7OODmXNAgtLyBfLzjTivvo2s9HehLCCjYkXyn/gazc6QBVxd2fXFxxtgsVgQEUGeh7c3eXVxATJlYnVhAfEZ88HjDz/8EOPHayWoeWTIkEGxwE0CkbAGgNbg7Y/mzZnyy8KFC/HNN99YSUXUfsgLwASLxYKtW7eiXbt2iI2NtSlcvCtlgb/++stGTGDgg9vOsGYOgmTIdgTQD0CInWP5dnsJLDgvg6+ZKksv4kmbbHgAACAASURBVI3kSokdyV+HiiyQG4wkQF+fgAXH7lpfC4E4rGpZP2szXN4XWWDPnj1o3Lgx1q1bB7OZL9l1G8uWLcWHH37I1VEWQcsQEFBlLRrYZG0gMjISDRo0wPLly7Fo0SJs2rQJ7drxSjlqDBgwQFHL+P1CHoO9vCzw8fHB+vXrcfz4cYwZMwYDBgzAyJEjsXfvXoSEhKBUqVLCObLT1dPz3SiBlShRQrH1iPW1CEjtbYCSBXLmtFceRYsbN26gY8eOXD/i7w1x5gcHB+Orr77SVRjglQVU8YOiRYti5syZuHz5Mnbv3o2dO3fi8uXLuHbtGo4fP45169ahe/fuaVCsIFnuffv2ldSJ6LUngAb+w8PDdcs68WjTpg2MRjq+FAfQitvrBkIYIKhfvz5MJuLIz5LFbPvPp0+fxogRI7jz6NiVCaxUC0DWldQWdAMjjcaAOJQpiJ0SFkZsI2fIAgC537t27ULPnj0197RUqVKYOXMmtmzZgm3btuHq1au4cuUK1q9fj5YtW9olAF28qFLUUZMF9I9XQ1tqAxDH0NUgRKxfIK/FixQp4oSssT7kgHO2bGakRTX/0qVLiIggJLljx+7g888/x44dbKx/W2SB7NktGjW31yULWCwWBAUFYfHiYbZtX3wxBRUrVrV9Dgr6DZs2bZL6GJsjwsKMtiCAnB3u62u2BYavXUu7oUhFiPgSBOSzeJwjskDTpk0V40o0gE9BVAYygKgi8aVCCFH4wYOzcASjkdnw9DaxknsywYoSeR+AkdCtVxRN1n96pO3nz1/BbKbz8VUAS7izzeDrOicnywQAniywG0BnENnq7dJ/MaJ169bo1asXVq5ciRMnTqBOnTrImDEjVq5cifHjx2vKc+XMmRNDhw5FcHCwlRyuD1dXoEwZYm/t2+dms2lVZQgAnizAGjlVFQAclyHw9fUFs+9cQUhZFEc1xxcqVMgpZQHeT6Val8TFxaFTp064eZPakzzpltjYMTEx6Nq1K65cYUFVUVlAPWb8/fffMJtFv0z+/A9hsVhQt25d9OvXT3keD19fX1sg3GQyoU6dOggMDMTcuXMVRx8EkB2ANpu3QoUKDn+LIjIyUuELVSsLAMSud1YV6H2Dz76meFtlCMRnS207St5jtvyjR48QEKAuH+Li4oIaNWqgZ085qK4lW6UVS5cuhdinAKYswBNwxPGN93PwKFCgAIYOHYpZs2Zh2rRp6Ny5M9zd3QU/ipxQ1blzZ4moQhU1UkF8IgweHh749NNPAUBSXdDHl19+6VTbpgkI9tRhvb1z4cULen+uAFgpHeGcg6ls2bKoVq0aPDxoH+KVBbqBETeoIgexR54/LyyQBerXZ33u7l2Tba7y8iL3m1fToeNf6dKvR4RxRlmA5nq5uBA1xz179mDpUrJGpQmcTZo0wcqVK7F9+3bkzJlT+T3p+OeRThZIRzrS8U6RI0cOxVa6aM0GunijkBmf+soCNGAukgU8PVlZAt5A9/f3h5sbnXR5sgDvRKaYC2AZiGP8MZizPz98fX2RmpqKlStlwyBtoPXsWD12LTZv3oxKlSqhd+/eWLRoEYKCgjBlyhRUq1YNPXv2xPPnz3XPTSv4xeuCBT9h0KBBePKEOtXzICrqCebNm4e6deti504id+eo1rJzygLklbK+VXLT/xVERYnXm5JiEJjqacWdO6QB83KId++akCdPHk2dqrJlP3ZYO/L48eOYMmWKnSPYg9y3T8vilcE7e+hzDAsLw8CBA+Hn54eQEOL4fvnyISpXrozZs2cLpAHaPlQBbJk0RMwVOla8gAx6vFiGgEi9c0dJZ1GHkR9Ec4hmo8RAdAbIoGSBHCBjSjyIo6YSAKocYi+o5jxkR70Y+LEPvh+qiBkAIwvw2Rf2kCFDBjRowLK9bt0CAgICFJl+fPYuH7C0rywgkjRokESshZ2YmIigoCBERhptC6PGjYsJ2d08WrdujbVr1yJDBnIPWHkK+6CldvnAiQpMRo6AV+M2GFgw+NdfA9GmTRusWnWSO5onOdwD8BFIu2oLEoz4EWKAVwwcvQ1lAdrGDAbLG2e16aFCBXEBbTBYnM7cpaTzvXuPoWzZsggNJcoWf/0Vgjlz5uD58+e2tk7nGz5OIfehgQMHIigoCFWqiNlnBoMBjRs3RnBwsFDihGGd9TULSFYpgb8/qed3+/ZtjBs3jjue2g8msEwS4Pz585gxY4btGt/GM1RBTdikRMVXkB3fKvlIAjOA9QAWQhVAYuC/z56KShiA6QA2gpV3YEhrLWSAyP6OGDEC5cqVQ1wcbx+pyAIAUNH6SskCkdy+u9bXvNZzKHFESwywZ8e9Ldy8eRO9e/fmMsH5ayXzVHx8PHr27KmUkc2RIxHsudGSWlqyAADs3r0bBQoUQNu2bVG3bl38+uuvGDx4sDLzI2vWrPjhhx8ckm/eB2R1F+ooA4BixYph8ODBmDBhAoYNGwY/Pz/5dADOlSF4G9A6RgHWLwGiUARQ52HlylmQFkyePFkiCfH3hj3vbdu2KZXOrl+/juvX2fbg4D9w7NgxJbEgc+bMqFixIqpUqfLGTr/g4GBERkZKW+m1i0GGPXv26JZ1slgsmD9/PurVqwezmX5faYglHgC6Hs2aNSumTp1qy3bj5/uFCxdK/5sngGYCcQzTPjcOJAgzAqym7fcQCVFk7nr82MN6rWyPo7k3T548mD59Oi5duoTNmzdj1apV2L9/Pw4dOoRu3bo5LEGmgro0HpVT15K90lJKTw5CEhwH8CGIrf0ZVNnAACEg6c9HjiEHnOUyJXpITEzEwIED0bBhQ9y5c8y6LTt27NiBH36YbTvubZUhMJnEzD+A2EZphcViwdChQzFs2DA8fnyA21MSvGLazZt/o0+fPvjggw+EuYISA2JjjbZAiawsYDKxEgd8gNdZUDtfJgvIZQhUags8MmfOrCNbfAbAIOv7QhBtEOKPevToglP+E2qzUzI8q7YkkwV+BSGRfq28TkAmbbM2/ccfF8CSXK5Zr5eOz08hkrxk9Y9L0ue1IKQBEd26dUNgYCCmTZuGJk2aCJmibm5uGDhwIE6dOoVdu3Zh9erV2L59O86dO4dRo0Y5bYdR2/7yZdbOVGUIANYv+WBcWsgCXbp0gagsQMu/XAcfeAWAqlWrokSJEm+lDMH69eslxSt+7mF+idjYWPz0E5Mbv3uX2Z+3bt0Qxs+EhAT0798f9evXR1SUSGLZufMHtGzZElFRUZg4cSJGjx6tfB5ubm7w9/fHsWPHcO3aNYSFhSE8PBybN29G69atUblyZZ0gqVpViCRXOQe1SsBNELJZCsgzEaFVjfx3QB6DAe26/nWxfz8/DlH7m64HxTa7efNmhdIPQ6FCZk3ygjyephV79uyB2KcAlbKAPAbpuFt0Qcn9AEmo4pEnTx707t2b20LJAicgksuBfv36IUsWYhPnzZsXW7Zs0S0DZjQa/x973xkQxfV+fXYBwYDYDYoN0YhBxYKoUWPHBkGxgF3svcQYuwY1dlFjVzQ2FFGxolhiiUbBjth7i1jATi/7frh7996ZudtAk/zeP+fL7k7b2dmZW57nPOdg6NChekkYcvDKAvqcug4dugWNhs6HboCQHvn/xDhZwMbGBvPmzYNKpUKxYnSsXgRMTaG19vUymOIMaSPS051w+TJpa4sVy9LZEADArVusLRUpC1C4uGRP4aNQIY2ugEk/WYC0pbSrsbS0hJeXF7Zt24bLly/j0qVLCAkJUfRHufjvIZcskItc5MIgMjIycOrUKYSFhWHfvn148eKF8Z04eHp6yjxMLQDwg1apP4+Pj4/kM01i2djIJx2ULFAaABvgOzkxua3t27fi/n0SlLGzs0OZMnSAZgFSYQKIyQKPQCwSqAccDVAVRNOmPnj48KG2YpCHPYjc+HmQQJFxvH79WidRJ8eWLVvQr18/vHz5UrFOo9EgIiICbdu2FVQMZg98wvbBAyo3TAM4VqCJ2uTkZPTp0wcXLlzgkhzGlQX0Jc2ZsgDZlk9W8hM6jUaDqKgojBw5Er6+vvDz88O8efOyre7wJSBioVKp7OyAkgXq1k3nlqnx6RN0fpIUz58b/x7jXnEsW7V+vXFfOX5ykpKiwv3799GiRQts27ZNmzyhA973iIuLw4wZM9CrVy9dpRENtKWmqiBXwi1SREoiIn7RtORPHiBhpCQ+9p6ZqZLcQ4ULy3Xa6MT8K0j9qCmZ6SLEXtsU8mczEKRdug6gvvaY/RR7ySsZTYE8p2Bq0BOQBjRzYkOgPK5Gx1YODj6OxYsXy7bIA1YlkwKAr6TnlQWkr/L1ImUBit27d+PRI3bvDxnSEjExMfjll1/g6+sLHx8fjBw5EtHR0QgODoadnZ2uvTJXWUDuXyxH2bLS9cp2kZQnvXlDfw8lrD2BUtYUIOSK3QCGgnjVZcnWMZg7YZfj0aNHePyY9IUqVRZOnTr1RXzYK1eWJlWtrZPx4IGoD1bC0pJcv/Pnr2urZUmCNzHxIaZPn47GjRvDxoYcn/ZnDx8yH81375SV6q1atUJkZCT+/PNPrF+/Hps2bcLFixexZcsWVK9eHU2bNkVgYKBsryNggQtapZqJnTtX4enTp1i/fr0smcInuEqCx+bNm3VVa19KWUAsufk7iHdiTzCfdIKvv/4a/v7+OZjAvwBRx9gPQCxfy/AzSCWg9P7/+uuvBZKUhhEXF4dWrVrh999/10qF61MW4P1u62tfDZEFAGZVEwbiPSmFo6OjYtnnxsqVK2WS8fz9zILWSUlJWL16tWL/EycOg/VZ+pUFKHipcQsLC0yaNAmxsbGYP38+BgwYgEGDBmHp0qWIiYnB4MGDs5Wk/NyQ2xBkJ9EvJwuY0yeaAwcHB3Tv3l229BpY29IAJMFH7j0XF9PZRC9evMDBg3ICjlJZgIJUlRGkpqZi2LBhqFevHq5fP6lbHhNzHj4+PvDy8hIk8z8f9u/fL1hKz/2pYs2BA2JCZmBgIKZMmaKt7JW3/XxSiSST9u7di/Lly+PNG3If02B8YmKi4Jzk3uKTAVALjoIgdgTUXzYaJJnIgzyvjx9bQKORKguYmhu3s7NDvXr10Lx5c1SuXDlHz5+zs9wnFyDtnDtEdoHi7cUoXbo06tWrJ1hzHFJrGykCAgIEz4d5KFpU+uyWKmU88aPRaDB06FBs27ZNu4TOg4uCtJesICEt7fM9B/LkeHY4EmvXruVszh6AtesukNpjkL7x3r17aN++vU59RERCLl5c2f5RmfjskAV4GwIefLtboECWhGyrD5MmTcJ3330nWLMGpOADIAmXxiDzPDoHjEdCglLNSA56DsaVBW4BaAuRpDuxQZHOw/h4yPPn/LzmNsgYhMaF5KQ/eTumnAvLoVarTbIHsrCwQPXq1dGsWTN4eHjoJV3rQ9WqygmViCwQHx+PV6+IMsm1a4TcefnyZV2VbLFiWUbVxrp27aojfZN5JiULnFRsO2wYIY7wPEf9ygKGbQiUcvtKZQGKsLAw7N+/Hy1atMCQIQN0y5ct+w21a9fGpk2bkJmZiX79+mHHjh3atfKK+2hER0ejffv2+PTpE0aOHInY2FgEBQUhICAAPXv2xLRp0xATE4PZs2fr/rM8efJI+gOVSoUJEyaYRLxq0aKFWWouRYsWFZBIX4HEeatBbodhbW2t1w7n3wZffQ0QFQhzYi2GEB29B2wcIycLSGNJaWlp+OsvpUIGhUoFVK8uHbMnJORMrYHEkukzbAmgHggREmBKvoCpygL6wCet5WQBgIzb2rVrBxJHp/fhIck23bp1w9ixYyXLnJyccOLECYSGhqJdu3aoVasW6tWrh1GjRuHChQuYOnWqycRD2henpKj0WpacPs3nAK6DPLu0/TEeXCpatChCQ0N1z1rt2nzM0xlESZWOmyK5dWzMFBlJnvcKFTIkKi684g8lC8jvbYDYnGQHarXSnikrKwvx8aRfzcrK0sXXTFGpzcV/G7lkgVzkIhdCZGZmYunSpahZsyZ8fX0xZMgQ9O7dG9WqVUPv3r11SXhjKFSokE4qiKAS2IQN4MkC9vb26NSpk2R/mkCqVq28bID5SPtqDb5aLzaW+b3t378bderUwZAhQ5CcnAwbG5Jxq1y5CeiEv0iR9yhWrBgMgw3CPDzaKaT7CFqCTMjdIZWlBAirfzlYx88gCozFxcVhzJgxRs4JuH79OmbOnGl0O1PAM90ZQ5pPxDOJp7S0NMydO1c3gdavLMAnKcXdDa0yoKxvqTc1WRcXF4c2bdrA29sbISEhOHXqFI4dO4a5c+eievXqmD59ulmVLl8KVFKPH5TJ1QZMxadP7HgNGqTrJCofPLDA/fvKAI0+3yiK5ORkQfAYILKFNJBAM9JZOHXqhFEZaD7Yk5iYie7du8vILbQSnE2iDx06hLlzSbLFkPKEnDQktQqQsu/z5s2LFi0IA5mX+CPKAuy4U6f+JEuc8cehx7cAQOXEL8Aw+N96DUAQ91kD4i2mvC+7du1q5LhKyCdk5viumqLwkR2yAMCSM48fi4KGU8GUBSZBGlhhygL0OZcGcHiyAG2P8kJeFRgfH49Hj9h3ly2bhSJFimDIkCFYtWoVgoODMXHiRJQrV063DW2vqDKKIWg0vA2B4WsjD0SnpLD7/vLly0hLo8oWNAhnSN3GGOTKAtmbkL1+/Ro9evSAh4cHbt8mAbysrDT4+vqiXr16BgMW5uLAgQPo3r0G+MRwSkoc6tatiy5duuhtbz59+oR58+bhzRsasPgKUqURErB/9uwZnj0jwdP79xPQunVr9OvHpDv79QtAly5dcPmyUoK2UqVKaNOmDVq2bKmohBw8eDBCQkLg4eGhXZIOFhSm7e5LLFv2G+rVq8cF/ij0kwXevn2L5GRy35hhE2oWatWqJRjjpIFUu25XbO/j44MlS5bgypUrJnlBlihRQrB0BIjXYvbIjD169DAomy2HRqNB79698ejRI26pPrJAEljbTuVrRWQBfoz7HkB3AH6Q29nY2NjA29sbXxLJycnYvl3+X/HnKq2u3rZtm2KcevPmTbBkK70P6YBLSRYg20thb2+Pnj17YsaMGZg2bRr8/Pz+Uz6TchuCzEx5Utc4/illAYCo8bRu3ZpbkgUmo/w9iHIaaRicnEzv8y9cuCCo3hMrCwBAdDSx/cnKysKAAQM4O6EExT7nzp1D+/btPxtRWQ4lERtg/Z1SRUC0/cmTJ7FsGT8Pk1fpbQRtA4oWbYlTp06hePHiWLNmDS5eJET0jx8fISEhAa9fvxZI6fPX5TCAOSDJb2pR0xZkbpoBQhiVjgNtbcmzm5ioxvDh03Ds2Andun+Dc9O2bVvBc6wBIcwq2wZzx7BDhgwxvpEW5cqVw8KFCzFnzpwcE5DkygKmKHKdPHkSu3fzSV9+HuwAnizQo8cP2LVr12eZf8rP1VyuXmZmpsxbPgOsD5MqC/D/6dOnT7F06VIAQIkSyjZGJCVPqxgfPrSAMByiB2lpaYiLI22ySpWiI6SmpKTg5k02LrO2fqcl/BmGjY0Ntm3bpicZPgxsrOkNqYplvK7i3xAogZOSBOhriRKmFYTY2trCz88PgP55WEpKWe27TLBxynAAi0CIwjyMKQsoMX/+fLOJl+ZCo9EgPT1KsTwyMhjv37/XbbNgwQK4ubnh0iVC8EpJKYDff/8dnp6e2LKFKJkUL/7WKFG5UKFCaNaskfZTGTDrQKm15/jx43X9q1rN4kz6EoCGbAgyMzNx/fp12R78nFaqeJiWloZevXrh0qVLkBL1svDo0SP8+OOP6NWrl06pk4BPrH8AtWu5efOm7tm2s7ND9+7dMXfuXMyfPx+DBg0SFFco0aRJEyxdutTguLpRo0ZYuXKlWe2utbU12rdvL1hzC6wamsHHxydbqmH/BAoVkv7nJUpk5ZiIr9FosGnTJjx6dBeMoFgSRD2QxrSV1rJiRTh2vAsXpATEwMCxaN26NU6fPi3czxD27NmjHePQfiEPiJohQO7DndzWUpKVuYp49vbMcichQXmfaTQa/Pzzz/DzCwabXxOyQKNGjbB582YEBQUJE/9qtRpNmzbF6tWrceDAAezevRsTJkzQo24kxsePHxEbe1T3uVevsdi+fTtSUqSE9pcv+T6AWovSgplzkMPGxgY1atRA8+bNsXTpUly6dElComzcmI8NlAchuNGLy5MlWD+ZmEiuQZkyycibl8Web95kfT3tdz59klqcWFpmwckpe8oCACMLPHqUjl9//RWVK1dGpUqV4OLigipVqiAm5pr2e7L9Fbn4jyCXLJCLXORCAcp2DQwMxPPnzxXr9u3bh5YtW+LqVX1etFIEBgZy8kA1ZGtJwsTS0hIrVqxQTODooL5Ikbw4fPgwOnfuDBsbG/CDKyurCtwe/AybDNDDwsIQEBCgSyS+ecMC58uXj8ahQ4fg4OAA/WDB/nfv7ODo6CgYqJTn3vuDBJUBUl18EsAgiKrsRFJ4mzZt0kNIUCI0NFQg2W4+pElEek5isgAAHD9+XJfk0FcRaUqSkv6/NEArtSEAEhIS4OPjg/Pnzwv3z8zMxG+//YaJEycK1/+ToMoCvA+UIc8rQ+AToN98k4lSpbJ0yx88YOto9dPz54YjS+/evRPIxVUGkc4KBuABNjDN0J67MbIA+69Onjwnk+cDRGQBAFi3bh0SExP1yjICQMeOHVGgQAFuCU3mJ4Ik4Rk6deqkkyPjB6YZGdIEtKtrWURGRqJdu3baCfNd0MSPlVVt7VYuYGxq8T3HQH1bs0B8vI0PvDt27GhWVRYF/7usrTU6TzVTYG/PP4fK+zEjgwXBzCULsOSM/DfVAUCZ36cBLJStT4NKRfal/5HUhoAPFPJJO6kqg62trY6okCePRiGZKoI5ygJJSQBVGBcxsymuX7+OYcP6ge8rgoJmoXPnzjh79qy20pe26TknCzRp4iH5nJ2ARnx8PLy9vXHw4EFtcI5eEPJ69+5ddOzYEceOHdN7DFMRHh6OXr164cWLp2DyxgD1ej1y5Ai8vb0V1V7Hjx9HjRo1tJKelEBiCxIcpPcyS5qmpRECz5Urj7R9hjRAfuTIEXh5eeHQIWmlgjF4enpi3759qFGDjl/kiVvSVyYnJwvaTZ4soHz2MzLIfZ/ToJQ+WFlZISBAWR0qgoWFBXr16gWAVD6vWbMGISEhwmBz0aJFMWXKFMyfP9/kcxH7tEvh6uqKwYMHm3xMgCQ7L1yQk7vo/ZwCeXUTCyrXBknqicgCV0AsqUJASE9iSwV/f3896g2fD3FxcUiSSq9AZENA8fHjR0X1N3nG6b1YCoQoQEl5SvLvl1AW+ZLYvXs3hg1rI1m2cuVsdOrUCRcvXjT5OHllAkRfkiyQJ08erFu3DkuWLEG1atQSg96blREQsFK3rVy5xhDEthj0HnkOuZoI3f7w4cOIiOD9rpVkAQC4deuWLBn/+UDHclJMBrALxNdeCnt7e8UypbKGvE3eBEoWiI93wPTp81C1alVMmDABr1/TqumzcHNz0+P3HAXglPa1O5gC1c+QJtcXgI0TCfLkyYPERDZ3Dg2NxvjxE3Sfv5QFkCHky5cP/fopVbBE8PT0ROXKlc06fvPmzTFp0iSD21hZWSEoKAhRUVHZtlPg8erVK/z5Z5hk2b17fxhVR+RVNgj4GEgJ8GSB+Pj76N+/PwYOHKhHjtt05FRZ4OzZs3jy5Ils6W3taw0wxTRATgDZunUrUlJShGQK0ZiaKgtkZKh0CnhypKWl6fqQjx8/YtasWahWrRqOHSM2Pg8eXMf333+PPn36oGrVqti6dZ1u35cvr6Bq1apYsGCBUSKGjY0NZs2aJbgnP4EQeAA5WaBMmXwm2aUwZQGpDUGzZt/J5qdiLFiwQNc+6YuH5M1L2/1HYO3y3wBGQTkH5ckCryEdA0jh6uqKzZs351idwxgSExPRtWtXjB3bBtJ+5SN+/fVneHh4IDo6GtOnT8fs2bO1sS36DOYFjROkp5P5UExMKDw9PXHjxg2D3+voSMds/P1H+k4PDw9s2rQJP/74o2QfGl/69EmDw4cPY/To0ejTpw/GjBmDY8eO4e1btp08CarRaARjoptgfYuShMzuXb5tYPezlCgASOcKFyTbbty4UUBaMw8dO3bEqVOn0L9/f92Y1cLCAvXr10dwcDBCQ0OzlcgfOHCgTEFWDEtLSwwcONDodv8W5HP80qVzTgKbNm0afvzxRy15k/6/FQDQsd0biOYW+ggggYGB+PHHH/HunXwOm4zz58+jQ4cO2LVrl8nnN3fuXPTt21d7b/H3KSVSB0E6DkwGX8xhbqGCWs1IGbyywOvXrzFjxgxUrVoVdevWxbZtb7XH/4iQkFF4+PAhtm/fjhYtWnwxFbOdO3eiatWq2LKFxatOnryJwYMHo0aNGhIiRlISLUB5CBav2gMyx2+qOHaDBg1w6NAhbNmyBX5+fto8BkOpUllcsZMzmAXDRzBbU4D0AVKFre3bp+Gnn35CsWLk/+OVBYB3CAgIQJ067uAVsTIyYtGw4Xf4808pwcpU0HHBqVP3sWjRIknc49WrV7hxg9iPpKWJrU5y8b+DXLJALnKRCwUWL16sVx6f4t27d+jevbtMFlWM/PnzY8+ePdpq4Zqytc6oUKECwsLC4OnpqdiXJpJsbTUoUaIEfvvtN1y9ehULFozQbZOeziey+eQAS9r+8ccfePeODHj4xKqTUyZKliyJiIgI1KlTR3j+PLP++XM1ChUqpKtk5n+HFMsBfAfgDzD2aCVIpQDFgS5psI6CeldLA2mJiYk4eVIpvWYupL7xlCwgD5JIkZxMBib6mIN2dqw6wpgNAS1q4au6kpJUmDdvntB/V47g4GAtg/vfA1UR+PZbNuDOrg0BH4BxcsrUVXA/fGiBe/fIOktLDTw8yOTRmA2BuPqvOfe+JtizQ45pa2sr30EC3mPy4MHjgi2YDQGPDx8+jxO8ZAAAIABJREFUIDIyUq8sI0CCl6tXr+akEClZIAb8BLpKlSoSr2S+GicrS0oWsLXVwMnJCatXr8aVK1ewYcPvKFeOsLfr1BmIX375BfnyNeHOggSTS5curcfr7DxIsqUhWDWgfjRu3BgLFiiD3aaAf8YcHbPMCiRaWgJ2duSaiUg7r16xiV/evOYFPK2t6eS3HJgdTF4AG0CCOIkAekFeWVekSBHdMy8mC/CJMT7YXkVynEaNGuHxY3IxSpXKNKkai15LU+IuvG2g3COQ4tixY2jVqpW2Go2vfEzF0aNH4ePjo52886x9GzApcCVZwMnJSSgDb2Njg8GDB2Pu3MmS5dlRFpg0aZJMIYieH+s309PTMXDgQJOqvPQhISEBI0eO5AJtfFKXTV7v378vkfw/e/YsunXrppWRBtg98RWIJDAFHzClfRcN5PKdE7m309LS0K9fPzx+rKzmMISjR49yfQxvRQDIPSelSAbz7VTKe2Zmkv85u+oQpmDYsGF65HqlmDlzpoLM5OnpiRMnTmD//v0ICgrC/PnzsWPHDly5cgXDhg1Ds2bNtLKRhlGxYkXs3bsXPXv21BvsadCgAXbu3Gl2wJJVQvOg9/N9KO1kaIDEGoTYRO8nefB9OIBukMpwMtSuXVtgU/H5IZbPPAcSOHoJaTCJgL/GGo1GWxlDg0ylQOTFacBdbiFjGrHjv4L58+ejX79+uHnzLCgBieA9jh8/jh9++MFkgpBaLSVCfikbAgoLCwv4+/vjyJEjiI2NxYoVrGr70aPvde/lFguGILbF2AOgI8i4T15BR8b369atk+3DJ6ekHaY5pGZz0Lx5c8HSAwB8QZIzhrdPSkrS+u/y4MkCx0GeZ0Ig0WgssXTpSW4uS4P08UhNTcXGjRsF4+d0EOWHupC2GXdALFgA0q9L2wa1Wq29Zny/6wzeSu/iRWMk1S+D8ePHG23Ha9asKateNx0jRozAhg0bULOmNAagVqvh7e2NqKgoDB8+/LMkAkJDQ1GjRg1s3RokWX78+HrUqFFDICfOoKzM5EnzlUBsJgBCgibP5K5duzBt2rQcnTOt1KMwlyzw9KnSooNVPLqA2AJRSJ/lt2/f4vbt2yhcWKPwvhYpC5QsyQjgEyeGYOXKlYiPj8eDBw8wadIkuLi4wNHRESVKlICXlxcaNGiAoKAgbUKBJkmScevWLezdu1c7xuNjSS/w4cMHzJ49G6NHjzZKXFOpVOjbt69gDY1jlQev7Ni+fUOT7jM6x6XcK0qqLl68IPbu3au3jyxQoABWr14tqbjmK9V50vbLl3SefBvGwbdjSlWBfv36Yc6cOTh48CCOHz8uiFN9Xmg0GvTr1w9HjhwBuaf4AiIyN3zz5g06duwoI13x42UHEPIvHYPdwJUrV+Dl5YXYWCnRiod8vFy0aBLCwuYjKioKERERaNmypWIfanMZErIbXbt2xcaNG7F3716sX78efn5++P13kmQtUEB5z1taWqJMmTKypUkgcvuukJKg5ZAqC+gHTxaIlqx5+fIlbt825R4xDGdnZ/z666+4ffs2nj17hufPn2PXrl3w8fHJtvXYN998g5UrVxpULbC0tMSyZctQpUoVvdv8m0hNTcVff+2RLEtOvsbNP81HRESETrWFgP6/zcFixmMgJzPmz58f33//PeTYs2cPR9KUV6+T9jMzMxNDhw41KW66f/9+zJs3j1siUlAKghy2tqytTkw0//oUKUKeAaoscPPmTTRq1AiLFy9GvC7oQtqu9PSD6Nmzmx5l1M+HXbt2YeDAgdriO141lMTvX79+DX9/f50KV0ICnTvJSU0PILKV7NGjh8Hvz5OH2YtaWLiAkQWOQ/m/SIlJ6emx2LBhA54/J+fGF1+NGtUb+/fv1xKXeNLHNdy7dw9+fn44fPiwwXMTwdaWxE4zM/WR7kjs5fHjB2bbV+fiv4VcskAucpELCdLS0hAcHGzSts+fP8eePXuMbwigYMGCCA4ORrVqUrk4F5c2+Ouvv9CgQQPhfrTynK84L1iwIPz8+MA3P4DnB7vSxFd8vLTDsrRkflSlS5fGvn37cPToUQwbNgx+fn7o3bu3Vu5pv042iSZlBw0aJJts0ipRGlgoBJJA5KWFLCFVIICQIKGU1bQEkc0cDOBHE7Y3H1KyAE3uvgYb9EjPGwAyMsi10FcRqVIBlHwvPT6D3IYgTx7orvW7d+mcb6RxrF271uRtPzcSE5kkVNmymTrSQ07JAiqVBmXKZOokaB89UuvIAmXLZuqYz3Fxhr8nf/78cHNzky1tyL3niSwZKFu2rFHpLr4C78WL94ItaLWlUq722bNnRpUnGjdujB07duDbb13ByAJkkGxlZYVOnTph9+7dEjUSPqn+xx8nMHs2C1Bs3LhSN2gtVqwYWrdujYYNSaDm2jUrDB48BL6+swAANjZJmDChM0JDQ3Hu3DkMGDAAdevWFfzGvSCV8/pRtWpVLFq0CFu2bEFeedmiieB9v0qWNN9njF5r/jrHxMRgwIABqFmzkW7Z9OljMWPGDKOqEhS2trRNtQEjFPUEUVQByERYWrXq6OiIHTt2wNZWShKQkgX4wOEjkCohQE4WCAgI0KlwlCljvAogMzMTCQnknN+9S1Io58jBkwXkEoUA8OTJEwQEBHCJBilZACABNVJVwCsL8EFGJVlg7dq1uHPnDubOnYtevXrppL9jYmIQGBiIggWlQR1zq9Jfvnwp6LszZK8Eb9++RXh4uHlfwGHLli0yUqGYLAAQBYI3b95Ao9Fg3LhxsmQUJQvkA9CZW26ILMAHr9iEOzk5WZAYMwxpgoG3IgCkCQURaOCvtmRpvnz5kZlpuB/9HLC2tkZoaCi6d+8uDOg5ODhgxYoV6N27t3B/lUqF2rVrY/jw4Rg9ejTatm2rI3KpVCosW7bMYDCkdu3aCA8PR+HChTF//nxER0dj2LBhaNiwIerXr48ePXrg0KFD2LlzJwoXLqz3OPrw7JnIr5MnC8hxGixo2w5s3GiaB3XevHkxbNgwbN++/R+R4Xd0dETBggVlS9+CjH3LQk7IK1KkiE4tKyUlBb169cJvv/0GRhYoBqb8ch3SRBLBl65I/Fw4dOgQ5syZwy3h/28y9qAEIXFCjeHly5dYsGAB0tPZ9Vy7diH+/luuTPFl4ODggB9+KKFL2J08SZ7VfPmyULCg6aQFDw8PlC1bVrY0E8AOKIObgJ+fH7KysgRVRmJlAYAET0VWFTmFr6+vkEQtQp06deDq6ipZ9u7dO0E1Mt8+b9S+8moTtOpaBTZuZb9dqephCD+DVDLXg9zbnJ3XU7B+thz4cNzq1Ss/i1qcubCwsMDKlSuxePFiRZV26dKlMXnyZOzatcvk/0aE1q1bIzIyEqdOncLGjRsREhKCy5cvY9euXZxqT85AFEaGadUy5EHqx0hPT8dPP/2kd26p/K+fgNlgrARTY5GOXdauXatQRjIHOVUWEHvMb4OUPEWhtPNITU1FamoK8uVj8zVr61RoNOyzRqNBUFAQfH2rgN6/J0++xOTJk1G5cmXUrVsXq1at0l2HjIwMREdHy9pPOgeSJ1SkZAGKzZs3Y+/evYLfIIWfnx8aNWokW8oXXvTSvfP3b2b0eAAbk6WlqZCZyRQGbGyIddWpU6cQFhaGLl26oHnz5mjbti0WLVqEmJgYCfHm48eP2LZtLWjSeNGi9Zg1axaePfsbd++SsYedneG5CAH/XyrJApUqVULv3r3h7u7+xapveZw4cUJLFKDg21T2nyuLivjn8muQ+AMF6VM+fvyIwYMHC4kiGo0GCQlSn/fGjdVo3LixEeU+Qnr+9Encl1ISh7W1uL3v0qWLYGkcRH2qFJl63stxl1uvrPg1rx8yDmtra5N93I3By8sLERERaN26teSYKpUKnp6e2Lt3L3x9fT/Ld31uREdHo2bNmhg1qjf4cc7ly+Fwc3PDxo0b9e9sAEpinXyechKAch7arVs34bxCery3kKpssmcsLS1NoJCjhFIdSp6UngW55aGtrS0SExnRvnt3P/Tt29csIkuhQqSve/NGjQ8fPqBly5aIi+PHaK4AKOH1EDIyMjBs2DBERSmtTj4HkpKS8PPPP3NLlGQBgPSRP/30EzIzNbh9mwYblVYbcri5uekhwUpRqhSJd9jbtwVTXT6G/Pnzy+4HeWEcIQV+/HgLcjx8yG/Lk38JESsjIwMDBw4021bs0SNKUHeAOJ1Mrk9mZorJOaVc/DeRSxbIRS5yIcHx48cFiSIVSEC1nGJ7c5K5mZnAnTvSAVBCQkGDkxpadSqv7rG2BooWpQMbfWQB6aA8MVHaGZYunaWoindzc8OUKVOwdOlSzJkzBy1btkSePBY61j9NytatW1crjUxBJyi7QRQAeGzi3jMZ7QIFCggHz0oZzooAaKVdK8X2OQneUDCmezJYUisLbCBUVbGPRkMunqGKSBrffvdO3N3QuQ9NrqtUjDjw4MFLQdCsEEhgWylpefy4qLr9nwFvN1CsWJaOOUvVBswFJQuUKJEFGxsmQfvypQViY8l1L18+U1f1kZCgRoqSzCqBVIpaDVIZReECllhL19p2GB4i8BUoFhZyFYLiYMnjO5AjT548eisteNStWxchISdBPQmbNi2MWbNm4fLly1i2bJni3mcyXsC6dRtx+zZLDixfPhfVq1eXTLiqVCEBr7dv1fj7bzViY0l0qE4dS4waNRJNmzbVse0HDRokPEc5LCwsEBERgaioKFy/fh1Hjx5F165dYZkD8y4+v2eK76occrLAtm3b0KJFC4SHhyMjg8mhffr0HIsXL0bTpk1x547yf5ODTm4IaBtIpaDvQ269YmdnhzNnzsDV1VX3nNM2nrYFefJkwdGRV4vRgLVDjCzQv39/uLm56WwIDFVeZmVlYdWqVahVqxaOHCEBxPj496hevTp69uypd6LLx35FNgRr166VBXB4Nr+86pJ+toI0aayUr/zqq69gb2+PgIAAzJs3D/Pnz8eAAQN00pG0QobC3Kr0yMhIgWyuUlmAwpRgrT4olXL4gKI04J6amoo//vgD0dHRAhlSep2bgbX/clsS48oCFKGhoWZJrcfExMiW8BLHxpjzlCxQCrylj59fN917nhD0JZA3b14EBQUhJiYG06dPR//+/TF06FCsX78ely5dQocOHbJ9bCsrKyxYsABRUVEYMmQI6tWrh9q1a8Pf3x/79u3Dvn37UKwYs39ycnLClClTsGPHDuzatQsLFixAjRo1sh3gFlc0bQK5H5QkwgIF1MiTh9xfBQuyisSaNUsb/a6KFSvi6tWrmDJlSrbJX+bCyspKT6A6CaIqlm7duun6reHDh+PAgQPaNXywkv7WOZBXmjdt2pSTxf9vQxnw5BNhLOmfnJxsMIC6bds21KxZE7Nnz0ZmJguQrlgxB+7u7v9YwOvMmROwsSFVillZ5HlITIzBuHFjjZLbKNRqtclyvwUKFIC/vz9SU1O1pDYeT8D6BWUblxPFGX2ws7PDwoULjbYF+fPnl1XFsf2VuAJgDYji0Rbtsjgw9TRa7Z4fbA4pTfzKZWP1IwtkjmKIeJQBplYiJQskJydi+3a5zc0/A7VajS5duuDYsWM4d+4cDh48iNOnT+PcuXMYPnz4Z2vvXFxc0KpVK3h6eupULT4H0tLSMGHCBG7JW0jHYSzJMWnSJKEy4tdffy1bkgSgD0g7aw2AWvJILQTT0tIQFia1PTAHxYpJ22CVyrzxgJhscRlkvPENgJYgBQdtoEw2ACdPnoSbmxtev2bjs9TUh3B1dcX48eORnp6OiRMnYtasWUhKegdGciXXIzMz06hlAAG9h+TXXkwWAGBS22tpaYkNGzbI/NOfgKjRAbwFZr58pimiUGWBtDTg3j2mLpSaSsatajVJUC9evBhbtmzBmjVr0LVrV0li59ixY6hevTrGjx8Les88f56EoKAg1KzZSlcFOnJkKzRtqpSvliITJMaUBqUVFrJdGZ5drF+/XraEH9uLCJwU/P/bAUAj7jMjoN26dQt//cVU+zQaDbZt24YGDRogNFSawL1xYwWuXVMSKCgyMzMRF0fvWX2qiSRg9fLlLeHcoEePHtm0nOLtGQxJ2sWBWJgOBSC3KIBJ1hn/JqpXr44NGzYgJiYG4eHh2LlzJ65cuYKQkBDUqqVUVfsv4MqVK+jYsSNevqQJYp6Q8xDJyckYPXo0Nm3aJNpdL54+faqrQmfgn4k0EPtKKdzd3WWJa4L79+8L7LT440vbU2N90b179wxYtwFkbKS0miJjPpZ0zsxMwp49e9CiRQucPXvW4HdSFC7MiqlCQ0MF9jm8Isoh7fdkYtGiRSYd31yEh4fLLIHfgT2zxSTb3rp1C5Mnr9bFrdq1q2jw2C4uLti8ebPBtjkhIQHjx49HdPRWAMDbtyyuOWBAWQQFBcniTHzMKBHsvhK1uXzeQ6osQPHx40ezxpxpaWm4do2SxCzB1LjygfXvNPaSgZCQkBzbNOXi30MuWSAXuciFBOIKrUkAwiFlaROYU3Fz/76FroOtVo0MmF+/VoPmgzMzM3Hnzh1cuXJFd1yRsgDF11/TIClPFuCTh/IgqjQQZo6sZ4kSSm/4Pn36YOvWrbC2LgTGgrwHUllCk1szAfTlvpswqNVqNRYtWiRkjyrVBvhEfS3wEsw2NjZCuSpzwSr/38nWUBk4aUVv5cqVkZVFyQLiY2ZlZcHCggRdb9x4LpO8JpArCwCsYv3jR1HgoQ9IsGM6pFLU+FeqcSh4skDRohodWSD7ygJkP6ooQF8B4O5dRhYoUYItN6Yu0KlTJ9SvX1/7qQqYnCZA7ktyXEtLjc632hB4G4Jy5Vxla+tz708p9q1Vq5ZRZQGKa9fYDTZuXEv07dtXENAjuH6dT+hZQBoUSERGRgamTJmCVatWAQCqVmUD2EuXLHHtGrkGbm7KgW2rVq0wfPhwvecJEBZ9UFAQPDw84OzsjGLFiuW4wuP+/ft484YxnfPkMV/Si5EF1Dh79iyGDx/OJQbycVuS5zUuLg7+/v5GnylPT76KwxkkmEqtHA4ItvfUtXn0mafxWtYWELk9acUga4fUajU6deqE9+/fo2LF6nj1itz3sbF7hEn/rKwsDBs2DJMmTdJWlrKkfVZWFg4cOIBWrVoJJs5MJg9gE1z+uFu3bpXtwSeq9JEF8oDIFwMkaPZIspWjo6OgKlQKCwtpm2luVbq4Ao4myJT/eU7Ua5Qyjje571Ley2/fvhVIAQPMF5AiFkADSAkHtP+yBSFl8Ake6TP95s0bs/oMZSLtKFjyQXnvSMEHdQhRxMXFBcOGMaWgL6kswKNo0aIYOHAgfv31V0ydOhVt2rQxKB9qDpydnfHLL79g9+7d2L9/P5YsWYI6dep88So3d3d3wdK5IH2ckuiybNkyBASQtuvtW9ZHTJky0KBftre3NyIjI03yK/7cGDBggEmqC0WLFkWfPkTB68qVKzL/Unll/RMA0jasVq1aAs/3/yYeP34sCFCKyQKAPrsK0t8MHTpUW40MMGJSMoB0ZGRkYPz48WYHjM3F8uXL0bFjR7x7J7WBy8q6i3Xr1qFZs2ZGvZwpevfujc6dOxvc5quvvsL69etRsGBB2NjYCBLt8SDWBcMAnFDs/6WSFz/88APWrVun936vUKEC9uzZAxcXF8U6e3t7QXugAdAfpLqY75dpu023532C+SosotAh+r7sg96nvIUTAGRx5J5/ByqVCk5OTnB3d0fFihX/8SRkdhERESErdtCAVQkmg5d7fvfundY6Sgpx9et2kDkN337K58okkZBd5FRZwMnJCY0bNxasSQMhVB4CIe8q762SJUti7ty52nEe/xv/RmJiImbPng1fX1+sWbOGW0eTunxVuClgNgRS8PEa6bgwKiqKS+bpx1dffYWVK1fi7NmzGDx4MOrUqYO8eY/JtkpG7dpVMG3aNK01jxKpqanYuXMnHjwgv/Hw4T9Rvz6rDJ09+xd07twZ588btgw5e/YsunfvjvfvaT8kJbNmZTHFRnd3O4SGhiIqKgoTJ07EwIED9dgctAMZ1yjn1VWrKos6viSUv99UskAcWDs8HCSeA5DrI/3vKVFZo9Hgl19+wdChQ7XzPGnS/dq15WjTpo2euQOxEUtLo3MFw2SBpKS/ceaM0tqpSJEiCAkJERT0MKhUKsH48QlIG3IBgPx+lGMnREnaatWqwcnJyci+/w04ODigQYMG+P777z8rGexLYMyYMTLSGD83ZuT/iRMnyhLKhiGWXufb1llgNjEEHTp00KtWJj4eP6+Uzo8TEhK48awSygQ9IB0bTYeIiKw9umKfxMRE9OjRg7MR0A9q6ZiQoNKj2kDJAtfBK5QcO3ZMT44iZzhx4oRgKSV7KmONa9awNubKla0YO3YsvLy8JOOkMmXKYMqUKTh48KBO5U2EuLg4tGrVCsHBwcjIkCt13ceyZaMwfvx42XKe7HcbjOwtz8e8h9T2hP/fpBYv5hSE/P3330hO5hUxS4Ao3N0BKRIqDEa6zUB8fDxevTJNtS8X/z3kkgVykYtcSGBtbS1bYgdglPa9C+Qdp3J7/bh6lVX5+fiwQcnNm6lYuHAhatasiXr16qF58+aoVq0aWrb01sm+ySspAaBMGbqsLLeUT2rLE0fSYD+fgDUGWsEt94Zv1qwZatXy45bcBwk01gGZRE8EGUzRwJAL8ufPjw0bNqBNmzYQoUePHrKqbrnHF5u0+vr66uRp09PTcffuXcTGxpo0YONBk7WWlqKEDEAIGYyIMWLECFCFaHlVq0ajwcaNG1GrVi3cvk0CuVeuPEKdOnXg6+srScpR8gif+KLv1WrRhI6vyJUmqLMjX/y5IFcWKFpUo1huDqiyQLly5B4VEVvKlcuU+EnK7005rKyssGnTJvzwww+QMvkBYpdBGPNFihQwSVqZLzKqW7eJbC0lC3yA1MeQEE1q1qwJW1sNZzmhQlpaGk6cOIHt27cjIiJCl9CMjSXXwsJCAxcX/exUjUaDOXNmcksswYICaeCThdOnT0dCQgJcXDJ1Fb1hYda69qZ6dfH3TJo0CYsWLRImc6tWrYotW7boqQA1H8+ePYOfnx/q1KmDuDg2ydywYRq8vLzMkn3Ln5/cJx8+EDKDtAJISRYACDPeGDu9fHlbWFjQttwZJHlL7x2lxxyvbqFUFmBtQZkyZXDs2DFs374d7du3R5kylB3tiE6dBiIsLAzbtm3DmzcsaHP+fCgaNGiA5cuXS75z9erVst9Bg0wsQfrx40f06NFDkTyW2hBIg7nv378XJMKVNgQMPFmA2ugoA1I9evQwKTjPq+2YqyzAW3cwrAFJrE5QrDHXQ56HMrCWCZK42QpAWTFmb2+vR26TPgOZIIEWdyhVGfhgTn4AHtr3qVAmSvVVpIuhDNSlg/yP9UD8wKUYNGgQbG1p+xMDFnipjSZNmmD37t3Im5ddG3P/w1wwmKPcUqpUKW3lvFJ28datk5g3bx7Onz+PUaNGwdPTE82aNcOgQYPw119/Yd26dTl6FnKC4sWLIzQ0FEWKFNG7TbFixRAaGqoLTim9ueWBtvng+8WBAwciPDz8s6hV/RMQBw55UqqULPD69WtFAJVWzEpB2x+pBOsvv/zyRarpAaL2MnXqVO0neSKI/KbXr1+jc+fOJpGcVCoVFi1ahF9//VVhKaVSqdCsWTNERESgXr16umVt27YVHGkPgKWQq0+4urqifHmlPdnngpeXF65cuYKlS5eiffv2aNGiBbp27YqwsDCcPn1aYT/Ag5JljIMmt1xBkpg8uUIZnF+1ahXWrVuHRo0awcHBAQ4ODvj+++9Rs2ZNxbY8xM8TDbZWBRkTUGSZLQmbCwJxZSP9H5XJEVFCsFevXnok/S+CjDmoPLhSJjwnyClZACAJreyoP0jbUSlZgIKv8CagpCUX6JchFpHuaGW2PBHFj92U7bo5hNXy5cujQ4cOuHXrFpKT5eqXCfjw4T2WLFkCf39/BWHg/PnzcHd3x8CBA/H2Lbl3iOUif12TcPToUfj4+Oi14tRoNBg/frzMSovOFyhRn1WlJicTNRlnZ2eMHDkS06dPx+zZs/X8QuX4uHbt2gr7kC8N6W8DSLUqJXUoFdMYUkCKaOTJMaUyAP3fd+7cKZvb8WSBOAD3kJSUhJ49ewpt9CIjI8GI0HQMVwvAZgD0utH/5S0OHTokPHN3d3ccOXIE3bt3l8RJVCoVWrRogT179qB27dqCPTtpv09k2Wgc/fv3z9Z+udCPy5cv48qVK7KlfEKVzeeTk5P1kk1FECsR7QfpN8JB5rBSLF68WO/8Qhxr3woytwyHvH9Tq9UG57fiPu4EyLP0J0SKbAx8fJm1Ae/evUNISIiB/QiKFCFjyYQENW7flitY2oCpnkqfQY1Gg3v3lLaNOYV4PE37INGzzMaeDx9GYM6cOahatSru3r2LqKgoXLlyBefOncOwYcMMzhc1Gg0CAgLw8CElpcgL6sjvVyban4ERH3nCiZwsICe3xHHLpfeLOf0rUV3hbSOKA/gFxJKgOIDW4JUFAJioOpSL/yJyyQK5yEUudPj06ZNAarc/pBXI0smIh4cHTEVMDOk8bG2z0KQJG2AMGDAPM2fOVKgUXLzIJhJUpp5HuXK0M+KVBah06n3IKyQLFpQmLcwhC1BlgRcvlM1mrVr+3Cc6kPkEaSdO3ltaVsW1a9fQsmVLvd9VtmxZTJkyhVsiJwu01G03adIkvH37FrNmzYKbmxu+++47NGnSBN9++y26dOmCU6eU7HMRqLLAN98Uk1UL8Yle8t+PGzcOPj5tkZFB9uHHnBqNBhMnTsTo0aO1AyApk/7UqVPw8fHB4cOHAYiVBeh7W9tiAkamfrKAj48P/i1IlQV4GwLTu9m7d+9i/PjxqFWroU7B4smT43jx4gUcHZUM4dKlk3X3JQDExZmSYLRDeHg4GjWaqljn7EwCxdb26CsjAAAgAElEQVTWpp0zryyQP38xWYC2gfb1LHiSjoWFBQIDA7Xse1bx/scfF1GtWjV07NgRgwcPRq9eveDm5oYhQ4bg3Dky2KxYMROGlGAvXryI27d5/zBeWUAa4E9NTcWWLVtgbQ04ORFW+eHDbGJVrZqYLKBSqdC1a1dER0dj165dmD9/PoKCgnDkyBEcPXoUzZqZ5oVpDE+ePEGrVq1w7BitQuADI08QHR2NNm3a4Pp1435pAGBvT2XfMgQsan4yI20zjXn1qdXMIoOQBahNSgrklYhdunRBnTp1dJ9pm05JArQtoMvVajUaNWqElStXYuFCdm+FhvIBJd4a5wE0Gg2mTp2qqwDNzMzEypUrZWdNr6V0svz69WuFFBstwLex0UDOnxEnJy+CBMBegtz7PGifVwIsSCjdplKlSkaDQpmZmThy5AiSklgyY9OmtQLign40aSIn9wCk7/KBVF6fICf3dYsWLQRLQwF0gXxya2VlhcaNG0sk6xlmAxgDQgCYAKVyAyCdHBcAsSwAyHWWVrK5urqaIS0NPVW6zyEifFSqVAmBgYGIjY3F3Llz0bFjWxQs+AgAUL36QGzbtg2FCxcGH2v9TMX9/yfh4OBgVPWFIjAwEOHh4fjpJ2UQaOzYXvDw8EBCQgImTJiAkJAQbN26FdOmTdNT5ffPolq1ajh58iTGjBkjGRuVKFECgYGBOHXqlKS68PJlecD+OVilSTzkAcGyZcua9Uz82xAHUPeBBHmPQO7NrVKpFAHUgwcPCqpWaTJGmrT98OEDwsPDc3DG+rF48WLu01lIlVBYEPH58+cmS4aq1Wr0798f58+fx65du/Dbb79h1apVOH/+PLZu3apILvXp08dkFZD+/ft/ccUQGxsb+Pn5YeXKldi8eTMWLVqExo0bG7XIateunUChTQRKXLYEkWin4+JLAJT+uIUKFYK3tze2b9+O2NhYxMbGYufOnYiIiMDMmTMVhDI7Ozv07t0bQ4YMEXz3UXpUAHxFuOZ/hqzzX4PIVoCp/MljGxBWlpcuXRpLly7Vc4+9AtAQgBOAKYq1lSqZW2XPUKxYzskCbm5u2LRpk1n3j7Jf48kChmxPaHzGBtKCDQBoCtKG7oaUMNAGzP5GboUQC2A5gPUgXt5SiAmuYqSlpaFnz57aSuDzkFqCsETXX3/9hRkzZug+X716FR06dOCqeOm82wZSsgC5b9LT0zF48GAhcfvcuXOC+ZncJosqlXxA586NMGrUKEkCvn79+mjUqJGRX0vm1dOmTTO63edGyZIlZUvSQZ4PHwC7lDtIsAnEwqIKgBkg/bXymbK3t4dGo8HSpUsF30XB7pcPHz4IE5ZE3YHGAWhcYDmAriCEAYAnCzA1CCWcnJwQFBSE69ev4/Dhwzhw4ABiY2OxefNm1K1b1wyyGvDdd98Z3aZr1645sgnLhRjiinLaPiRDThgUby/GN998IyD2JoI8H+0hLyaoVauWngQ+QaVKlQRtYAJIzLu9Yvs6deoYHCdVrlxZMH5+DBKfaAjDdhk8WUC63ZYtW2AMtPCCFOfIk+nuYOozfyj2/RJjTjEBm7ZfNaG04aVWRI9BY2YzZ85EdHQ0nJ2d4ejoaHSMChByo9RaQk6EEBOWCKaCxOf5dlFOspOTBVaDEFaUc2VT+9eXL19qlQ74sUETAN24z43AkwXs7e31xHRy8b+AXLJALnKRCwBEssjLy0vmQZYHwI+yLaXBJWNy5Y8fP8a0adPQpEkTrF9PEs9Fi/6NokXZQPzpU31RclZZHhV1RLG2VCk6ubYDY6u7aV/lbFGgdGmpHFZ2yALx8Upv+Hz5qnOfpMFJBjKxtrD4FtbWxoOxQ4YMwezZs7WVifKBSgvUrl0Xe/fuRXJyMjw9PREUFCRhU2s0Ghw5cgS+vr5YsmSJ0e+jZIGvv7bB0aNH0bt3by0jkkkVlSvXDiEhIRg9ejTSufEhXxG5Y8cOmVShnElPJvL9+vXDs2dxSE2lCUK2ByULpKSo0bt3b+5YJUAq4CkYWcDS0hI9e/Y0+ju/FF6/Jr/DykqDAgU0uiqR+HjjA1tSET8H3333HYKDg/HoEdvnxIk1qF69Otzdv4U8sda3bwPs3Mn+W2PKAvS7kpJScPUqCVY0aMACE8+ekQCTqd7ZNjZsu+RkFWbMmIEePXqAKFDQe5aRVfLmzYvg4GCJbUa+fOQ6nT9/R1ENkJqairCwMPz5J6nuq1zZsOcVIcbw2/DKAspqwKNHj6Jnz564e5ckRzUaev1eoHdvT1y9elWxD4VarUb9+vXRs2dPdO/eHdWqVfusk5gRI0bIZOekZAGABD/69+9vEmOXkjLE+WReUltaSXn37l0YQ/ny5Hfb2FQGIwucBJ+cDQgIwIIFCyT7WViQhjQ+PhnJyckcWUD5HZUq8f8rT56SkgUoZs6cidTUVJw5c0ZglaNUFqDYtk1ahUTJAqK5pJ2dnaDaPBWkXSoNueexhQXtb3iJZJZorlmzJrZv326QiX779m00aNAAXbp0wadPjNk9a9YvqFq1qsm+2s7Oznoka5WwsbHJkVpG165dDQZBeHh7e+Prr7/GDz/8IFBXSACphFb67QJkslunDh+sdwZA++ajiu15lQtT4OvrKwiOijF8+HCoVCrky5cPAQEBWL58OTp1IqTGO3fsQR0N0tNZm5EnT66yQE4wduxYDBo0SO96S0tLLFy4ECkpKRg8eDASEx9DWsmWBCART58+ha+vr8H2/99EsWLF8PPPP+Pq1au4d+8e7t27h9jYWEyZMkUhC6+0zsgAIyjNgbxCMT3dUIDwvwcXFxdOvYPiFcizr0wWu7u7K4J44mpkMVlA//Y5w61bt2Q2OImQtnPSiqPNmzfDHFhYWKB+/fro3LkzfH19UaZMGeF2lStXliTP9KFTp05GLQ7+TVhYWGDt2rXo1KmTkS35QO0CEIJpIojCgPTZqVatml45WQsLC/Tr1w9RUVE4dOgQNm3ahPDwcMTGxmLOnDnw9fUVjA8Pgo2R+ERQFlq1aoVcmI/ixYsLlo4FMATASBO3J2ST0NBQVKyoz4/4kWKJtbU1OnbsaOqpSpCVlYVLl45CpWL33MKFC7IludywYUNER0dj8uTJqFixImxsbITE1vLly2Px4sV49OiRbI1YWUAJPhFeX7ZuAsj4+gcA/LycJoNfA1gnOOYQAAGQSicDFStWhKOjo2B7MSIiIrSWY9Aei7fQlKoubt68GR8/knnP+PHjZapWNKFnDSlZgM1t0tLShLY9Yjl8OgGj9x29v27rzoWf06lUKqxdu1an/iICVQxs2rSp3m2+FPz9/QVLb4MolJk6nr0GYDJIf31csbZ58+a4fv26gHjBj1WkKh+iCnCiwMmTBQoDqKH97AZS4MDIAqZYTdnZ2aF69eqoVauWxBrRx8fHpPlVyZIlERwcjJUrVwr75EKFCmHSpEkICgr64sS8/4sQq0TROIJS5cIcVSlra2uz5s3G5qO2trZ6njcxjMXmCxQooEdJyhSIlQUAffYGUlAbAgAoX76ubC3/WTrWVqvVX4S0LS402wgWT5STf2jsWdomKQtTDMOwjWU6RO0hwwqQdou/RiIbAvnxvUGIWlKY0n+8evUKXl5e2iKmeLA2eASY7QAgJQtkwt/f3+QYUC7+e8glC+QiF7mARqNBv379BIPxrgDkEzRGFujSpQuqVJFXvbNjLliwAB4eHliyZAliY68hJYWwqB892om6dashXz4aiHMWHoNnHB45skcheVayJB/MKQMyoaOTL2kVQe/eveHgIM34ODmZLotTvDj7Lrm6wJMn1Ov9JZQ+fBREWSA11cqkpC5AqnzOnLkBysS3t6eJu2JISamEMWPGoFWrVoLJvhTTpk0z6kf0/r1a+x0alChRAnPmzEFsbCwOHtwAe3syYW7YcIiuWkdUEanRaBQS4CKyAAAkJSXh999ZYk6kLJCUpMKQIUM4Zr1cxYKRBebOnfuv+rlR3/QiRbKgUkGnLPDpkxrCYhcOixYtwvz587klvLTrPWRkZGirhnnW6Vu8e3cHM2f+Ahsbwh59/lwNjUaD8+fPY/369fj9999x+vRpZGVl4d69exg3bhy++eYb2NvXxZs3ZOJZoUKULulPiRsmqjmDJyWnpqpgaWmJBQsWYPr0P0AHjl99dRkVKlTA2LFjce7cOXh5eUmOkZREB7fS+4OhELKySILO1dVwIoMEefg2wQKMAay05bh48aLWG1ZOLLqAS5cuwtvbW8b6/Wdw48YNQaCJT5azYN6dO3dMUg8pUID8x4mJImLWD9rXt5BW4BhncX/69AnJyWRSnZr6Dah/aYkSV+Hh4YHBgwcjKioKc+fO1QUsT548CT8/P5w4QbxTr19/iCpVquDSJRIwE6nIFCmigZ0dVT0QkQVegieExMfHIyIiQk+wlQYA80BKlFDKWlMbAhFZQKVS6ZmQayCqemf9Tx7t/umoWDER3t7eCAsLw4EDByQBJzkePHgAHx8fjsDBEztSkZKSgvHjx5s8YZ01axYKFSpkdLuZM2fmyOLFwcEBM2fONLqdo6MjAgMDAZBKaWKXYhwqlQrdunXD0aNHMXIkH5huBzbNkZIFXF1dTUgkSWFra4stW7YY9ekeNWqUsAqoZk3SfiUmqnH7NmkfpaQ7s04nFzKo1WpMmzYNR48eRZcuXeDg4AA7OzuUKVMGw4YNQ1RUFHx8fDBmzBhuLz7IzNq+xMRE/Pzzz//YuWcHKpUK+fPnR/78+fW20+KkcFuQwPh8xRqRvc5/GXZ2dmY9x6L2WuxbTYN2SslTcfVyzvDggYhkzN+bUrLA/ftyudLPh/79+2PVqlXCe6dAgQIYN24clixZ8p9PXtjY2GDZsmWIiorC0KFD0aRJE1SvXl221Usoq7GGgnivSiElLouhVqtRo0YNtGzZEg0aNNAR/8qWLStQ50kCEKl9z1RO8ua1yXbS+f86xNW3r0AqiOMUa9q3V1ZkUjRu3FinhGcK+vbtm61x0sOHD9G4cWN06eIPjYYRhFesWIqaNWsiMDDQbAnfIkWKYPjw4Th9+jSePn2KuLg4nDx5EkuWLMGiRYuwb98+nDlzBq1atRJIyT/k3j828C1XufX8s1EapNKQYg7IONsTbA6/ACIpfX0ICAgwq73ZsWOHbMl+7r2UxJuYmIiDBw/i2rVrOHfunGw/2jfYgqkAAPI4z44dOxTXUdxP0P6kMoiqDyW3MhXKiIgI7Nu3T/fZ3t4eO3bswMqVK1G7dm3ddShYsCD69++Pq1ev/mvELX9/f5PmEIDhZ00fSpUqBU9PTz3zOP56S5UoRNsTNU/ehqAxpGmQcWAE8rd6Y5umwNLSErt379aj4EZQoUIFhIeHo2jRomjfvj2io6MRGhqKiRMnYty4cVi9ejViYmIwYsQIk6qUc2E+xBXlc0Gqtvsq1hib+8kxZMgQk8bU9erVQ7t27YxuN2LECJQoUcLodvXr14e3t7fR7UaPHm0SKUaJCJB+9RDksTVTksJ2dqxtdHFpIFtLyQK3wOLHBJ6ennoJfjlB06ZN4ewsz0O8BOs3uoHkFyhoXPGGZI+TJ0/i+XNDajxSKIkViWDjlLOQF+8Yx1uoVOzaFi1qWoLeysoK3bp1M7rdxIkTuXyDBkx5g7abtOCrHGhszsKC5Jdy8b+L3N4nF7nIBS5fvixIOKkB0GDpPQCHte/JANrf31+W4JRi8eLFmD17NjfJdQbxEAaAi3j//j0+frzMraOwBVMHYBVDHz78rfAQK12aTaD9/cfC1rY2GJuNkAXs7e0xceJEzJ49G3yhokqlQenSpisLGPKGp/7yNWrkx8SJEyX+oCqVCp6enpg5s4du2d27xuXiKR4/ZnKCavVC3fuYGAccOnRI4GUkRlBQkNZnSAyqLEC9zQESiHV3rwk3N7Luxg2WRaYWBACriLx58yauXZOzcakMkj3k/oU7d0bq3vNkAV6ePE+ePNi0aRP69OkDCws5u94VJUuWQnBwMLp37673t/0ToHYDRYtqJK8AUaPQv99rwXPEkwX4IDIfIGbBzJQUEoC4fPk1GjVqhNatW2PMmDH4+eef0a5dO7i6uqJevXpYu3atVpaxoW7fdeu6wsJCGng2lSygVjMrAj7e/uYNGUhbWWlw8+YGnDlzBj/99JOiKuvjx49ISKDfrW/C4qZ7t3HjKEEwh4EkWvmkOpVTA4ADiu2Zd7FcqplU+CUlJaFPnz7/eLWlmNhDz+EV5F6fu3fvNnrMT59I8CQ93RJM4g0AioEwjQEgBNLrRyo39eHgwYOoVq0a/vzzdwCARsMmJh8/bseIESMQGBgomYQtX74cHTp00DKTaXL/K7x//x6PH7/SHkfM3rexoYE2PohDj61Mtly8eFGPTDUlYqghrzaTByQTEshnffGw7t27m0RSKly4MJydpVXpNWoAp08fxbp160ySVp48eTISEvhAJyXbZYKvxAoMDERcnDIwLoezszP27Nmjl6lva2uLxYsXf5a2tWfPnvjtt9/0yuPWqlUL+/fvl7QRc+bMMSrra2dnhwMHDmDhwoUoV64cypXjg/W0auI9mNw0UKVKFYSGhmbL27dSpUo4cuQIAgICFBXNtWrVwvr16zFhwgThvjVqsGfr6NGP+PDhg0xZwOzTyYUAbm5uWLx4MWJjY/Hw4UNcuHABU6ZMQZkyZRAWFiarDuKDzNKx1MWLFwW2XP9bECcR4sHaQIZixYoZDG7/VzFixAiTgrju7u7CSipx8HEiiAXbCMUaU4K15kKpogIQaeQUEDn8ZyZs//ng6+urS15MmDAB48aNw6pVq3D16lWMHj36fyp54ezsjKlTp2Lbtm16ksk8IXQriAy6FC1btjSbXCbHnDlzBGTAnYrtunbtbJbkei4YvvnmG5PbsO+++w5ubm4Gt1GpVFixYoVRwkCHDh0wadIkk8+T4sWLF2jbti1u3KBJB94OJQtZWVlYunRpto4tx7fffgt/f3907doVderUgUqlgq2trSAJfwvAPJD2J1J5IO78mDpAQwAVtO/l48ViAKaBqQokAFhm8nnXrVvXpEQGD2XC5jBYclnpZx8XF4c///xTsZwRiytBas8lJQIkJSXJxubQo0ISBFbI0hts/iK1MVi3Tqq6YGlpifbt22P//v2Ii4vDkydPcPv2bfz666+oUKEC/i0UKFAAGzduFKj7SBEQEIAVK1ZgxYoVetVZ5LCyssLixYthYWGhJwF5BIQ4vwfypJ1o+6ZNmyJ/fprUsgWxyuDRmnv/FoMGDcKYMWOQkWFY0VAf7O3tsX37duzevRtt27aFk5MTypQpg0aNGiE4OBgnT56UzB0tLCzQtGlTjBw5EqNHj0a7du3+pyyh/hfh7e0tGMu8AmmvlMpi5lbiFypUCLt27cK3336rd5smTZpg06ZNemwNpfj6668RHh6OcuXK6d2mcePG2Lhxo0nHc3JyQlhYmMHxc40aNRTWXYQkVhzUEle+vT58+PABkydPRr9+jBixZ89fsv+AkgWkqgJWVlYYNWqU3mPnBGq1GsHBwYL4BLVpKwQWT2gBgI7PbkAOpZKlfojbtbUgRLrFgnXGj8eKMIGCBVUmkbmmT59usFAFIGMVnsRGwPezaQB6cZ9JHsTdvdr/HAk9F1L878z2cpGLXHwxiPy9iOcYTRTNA5vguGLEiFFYsmSJZADx7NkzLFmyBBMnTsT48eMxe/Zs2fH4AQSV16SJQp4ssAuk0vdnSL2MEnHvnrTKh1cWqFWrI+bNO6z73K1bVfz222+4evUqRo4cCZVKJfEALFkyC8I8kh4Y8oanZAFnZ2DkyJG4cOECzp8/j1OnTuH27dsICQlBx44swXXnjumBvps32YDv3bsdYEkP5SCNwB5MXYHh+vXruHJFac1AwcgCSkJBpUqZ2nOxAOUb8CR6OiYVD5IoM1QNQMrijYtjgxq+mph6g1MvcxsbG8yePRvu7oNlxy6MAwcumlz58SVBlQWo/QB9BQyTBbZu3Sqo7KBkgb8hrb7gk/p8cIEEki9deskFnRji4+NllSk0gf4AwDMkJl6QbG+qDQHArAhSUlSIj49HVFQUjhwh5+zmlqHweecRERGBrCzKSqbKAtYgiibU15JVgt2/vwM+Pj56k+NeXl6wsOADXx3ApLEMefzKn4vzund///03IiMNBcw+P+LjlSoIrCLioWKNPEjF46+//kLz5s2xYgVf2Z2fe98djBUs9a8GoNfa4/Dhw+jVq5fW11Fe5fgQHz+eR48ePfDHH8xzLjIyElOnTuW2o/c2DTSRm+X69Wih3J+dHf3tVN0mH4jcGSCXgwOIpLa7u7sgGHoawAnt+5HgiSovXrxAx44d8ebNGwC8DYH4mciXLx+2b99ucPJetGhRbNu2DfnySQM/7u6mB6EeP36MI0fkVjyUdS5tPzIyMrBpk1JmTgQXFxecOnUKYWFh8PPzQ+PGjeHl5YW5c+fi2rVrObIfkKNz5864evUqFi5ciI4dO6JNmzbo27cvIiMjERERoZD4L1iwIPbu3YvOnTsLJ9WNGzfGkSNH4O7ObB2k/ReZ/FpYnIKdXV7UrVsXq1atQmRkpMkBSxEcHR1112f//v0IDw9HdHQ0Dhw4gDZt2gj30Wg0uHHjAKysSH84ffohODs7Y+BA5h1oTrubi+yBkJR48CRZJfFSuf3/Flq0aGFASluKQYMG/U9KRTo6OmLHjh0GZao9PDwQEhIi/H3iiscEAGsg96wFkOOksQiurq6CfioGZMxcD3JJ56pV5dZknx80eTFq1CiMHj0avr6+2SJY/ZcgrtCmAdB7AAYq1vbs2RNr167NMUGjVKlS2L9/v6S/IpVr0v47OHg1fHx8TFKMyoUSS5YsEVQJSlGmTBmTFZisrKywevVqrF69Gh4eUnW7unXrIjg4GMuXLzcpOSPHr7/+KktsS8kCFGvWrPkixLU8efKgYcOGgjU/g8wNjBGlfwc7TyrVTAsjzoA9W8NA2jEAWAQ2nzEMLy8vbNmyRQ/pVz+U7dQnANMB3IVIgtnGxkZmP0DxVLDsFuTKlQAU/7+3t7fgnogHmbOckS2XkgXOnDmj53xIu5w3b97/jLJL7dq1ERkZiTZt2ijayPLlyyMoKAhz5syBSqVChw4dcOnSJfz+++9o166dXpKBg4MDQkND0aABqTquWrWqIGH5ECROoEzgSttYArVajXbtqDURTxZQzh1p3Gr9+vUYPXq08BxNgUqlQr169bBmzRqcO3cOFy5cwPbt2+Hj4yP4Pbn4p+Ho6KhQu9SHkiVLZsseqGTJkvjjjz+wceNGeHp6wtnZGRUqVED79u2xZ88ehIaGmkUOdHZ2xp9//olVq1ahYcOGKF26NMqWLQsfHx/s2rVLG2sw/XjVq1fH2bNnMWPGDLi6usLW1hb58+dHo0aNsH79ekREROhRKRCr3eizP3jz5g28vb2xcuVKJCbycawi3LisLAA6N2dkgTx58mDVqlUGiQg5ReXKlREREYE6depwSw+CJcT7as9vi/bze+16KcyZQ4l/z2SQ2Fa4Yk2XLl30jkOtra2RlZWFDx9YDPjOnWi8f/9er3rEV199hfnz56NPH7nNghIHDx4U2NrxRSlrQK6HlIz39dci9Y5c/C/B/JFtLnKRi//v8PChMgFFEjcvQYJUGwDQAJkd3r9nHc/bt2/x008/Yf/+/Uak8mpqX5PAJNdokqkMSMLKCUBz7bKJAHj/2URFZbytLVCoUBbevFHj8WOAygTZ22chKGgE+LnU3bt3cffuV6CVygUKxCMrS2VyhYyDg1hZIC0NePaMfHZyIh2pWq1WMOmoj/3r12rcu2d60On6dbrtC5BOOBLE87ouSNKP9yTKB0ImqAAiLS5lAd69e1cgwwlkZTGyQL58IrIASWp9+KDG33+rUbJklrAiUsyC5ididUG87Oh+BXQV6fpsCCgyM4Fr18jx3dzSERNjpf1NeVC8+L/vs8uUBch9Qm0IyDr9k/qoqCjBUlrpK/eL58kySrKA0jJEH2hwiFZV3pSsNWcOS2M4+/YdxbJlvsjMtABVk3jzZh9iYvLrrd4h5BI6sKZtymSQZ/8tAC8wssADAO+RkUGk3VxcXBRV7w4ODvDxaYNw3RibBtTvQkkI4PEBpC2iAUYpeWLPnj0mSbp9Log96xeDJA4WmLg9/h979x0Wxdm1AfxeqgKKNI2AiFiiYkETNEZjCWIJFuwahQR7En19jZ9GY2KJGk3UqLEGY4mCr2JvEI1RsIBGRIVYgr13sUdp+/3xMOzs7iysSlnk/l2XFzg7uzvAPrszzznPOYiMjES/fv2yVkZ4yG4pA82kpHSRkADd35GXl5diICUtLQ0jRoyQvd/rJguIC6iMjAyMGDEC8fHx2f3CtWkqC8i//vvvPWzYsEFvRbun52OICmilIT4zWkOTaKA/AVixYkV4eHigZcuWCoH2CRAJA/YAvoRm1RMQHR2Nrl27YsuWLbh7V6xUV6xWKHue3bt3IyIiAr/99htOnjwJtVqNSpUqISgoCL1798adO3dw5swJyJPm6tUzvpx1TEyMQmUY5WQBANizZ4/RZdTNzMzQokULo3psvi5bW1v06dPH6JViZcqUwc8//4yJEydi3759uHz5MmxsbNC8eXO9BI2MjAzExe2CSDbS+Pbb9/HFF0rnOK/Hzs4ODRs2zHW/zMxMjBgxIqvP+BaISh7ifklJmvdeM7NXW8FExnvyRDdIcQNidUhNKCViSb2MiyoLCwuEhYUhMDAwxxUvvXr1wuef6yZjFh01a9bEgQMHsH79eoSHh+PChQswNzdHnTp1EBISAn9/f4OTbJUrV0abNm2MSgp87733cl2N/Crc3d0NfE4pV9kxlMRHOVOuArQU4po0EbplX/38/HKsoPeyPD09ERUVhYSEBEyePDkrIWAXtFe1ZiI2NhZdu3bF3J5sh/oAACAASURBVLlz8yU55U1WtmxZbN++Hd999x02bNig1WbEysoKgYGBGD9+PMqWLWv0Y4pAYyd06tQJ9+/fx6NHj2Bvb5/VB/3VpKSkKCQ+y5OTtOdTli1bhtmzZ7/y8xnSt29fREdHG7VvnTp1kJgoX3F7BWLVfhuIVYWR0Fy//gax+tsfmmpmDwHM1XrM9evXw83NDWFhYdnnztWqVUOfPn1yrGyWk/feew+HDx/W2To565++Ro0aISEhQeGWnyGqC6gh3iP+gbie1A6aeHh46JU0L1euHDp37oyIiAhoewDxO9kAcQ0DKCUfPH36FDY5ZdubkOrVq2P58uW4ceMGEhISkJqaigoVKuCdd97RS2qwtLREu3bt0K5dO6Snp2PHjh2IjIzEgwcPYG9vjzZt2qBt27ZawXRnZ2e0b98eGzboB9CUGOr/Xq2aVBXIDJpKGKEQ82XySgOa8uerVq1C79699RKF6M3www8/4OTJk3qL0eRsbW2xdOnSV07wsLCwQNu2bV8p2UCJtbU1OnfujM6dO+fJ49nb22PQoEEYNGiQ4u0jR47EH3/8kev1kK+vr8GE+SFDhsgWM8kXxMirGjSSfR8HGxsbdOvWDQMHDjRYATEvVa9eHVu2bMH777+f9XrIgKg09TWAlhBzW9JK/SDoJhPb29u/1HEGBQVh9uzZCrET/VhKxYoVMWvWLHz11VdYsWIFoqOj8fTpUzg5OeH58+eylqny67wHyMjIwIMHD+Dr6wsvLy/cvn0bNjY2aNKkCXr06GF0Yom0gEbbxayvzwF8D/E5GQOxUEvgIoiij5UFiMjAJFo4RBZdG4iLJU15+QcPxArAhw8fomPHjtiyZYsRPfWkTN9j0HwQSkEmc4jgTw/Z/qUhgoaSJ/jll18QFaWdyefuLh7r0iUVpMT7mjUzshMFbt68iR49euD999/HP/9oAtdJSZvQqFEjhd7gyqysNIFgebLAlStmyMwUTyYlCxhStaq4/WUqCxw+LAWUkrK+ShOaFtAvo/Y9NBdA+j2CDCVGPH2qyv4ZlCoLeHtrfq6TJ5V6LYv71KlTRyGj/y9oJjy1g1E1a/pmfy+vLCB9L2/5l5xsjqdPxfH36vUie/vp0/lbjtVYUkKAcrKA8u99586diI3VXWHwLjSrpZN0bpMnD5yWfS8lC7yF3HMAa0Jzch6t8FjGtyEANCXjL1y4kZV1Wh+AeA2cP78cH330EbZv3654X5GBK12US8kCUqDPAWKiSZpM0bQKSE1NRWhoqN7jnTlzBjY2SitQtKsKKGf+Sifal6G7wlR5pX/+US6jGgfNxYo2pSDvzZs3MXjwYFkJxQeyW6XfdSNoemZqVxXw9PTEmjVrFCeroqKicPOm/CLpIrQnzzRBl2vXrmHnzp04efKkwmSc9L6gXVkAeIYVK1boPW/XrvKJw9rQvMf9A+3+zpqynYDos6b/c8QA2JP1/TBoKlsISUlJWLTol+zKArlVcrO1tUVISAiio6Nx8+ZN3Lx5E3/99Re6d++OwYMHo0mTJkhO1h7PX3/dAhs3bsz5gbPoBzkBzaon/RXRRT3IqcvZ2Rl9+/bFsGHD0LdvX71EgWPHjqFhw4b49NM+0A34/PRTgEL5vILz448/ZiUKAMChrK/eEK97zXvR4sXGl+alV6PcUzoYoq+ybjUsQz1NixZPT0/s3LkT/fr100ssq1GjBmbNmoU5c+YUqdLySmxtbREcHIwdO3YgOTkZp06dwpo1a9CmTZtcV4XPnj0710k+Dw8P/PLLL3l5yFpGjhxp1KokHx8fgxOylLMPP/xQoaqMGsABKPWH7du3r962vJCRkSG79tRtRSCuHTIzMzFs2DCcOKG08pVy4uTkhDlz5uD48eNYtGgRpk2bhoULF+L48eOYP3/+SyUK6HJ0dISnp+drJQoAwKFDh7QSGQTlygIAjA7ov6w2bdoYVV7b19cXmzZtwmeffaazYv7XrK/lZN8/B7AGIgHvB9m+c6C9wEFUkJK3ComIiMDkyZNfOVEAEMlUxq68f+edd1CnTh189NFHCsHAFIjzgh8gyt2fhm6iQE7PN3XqVNSuXVtvu1g00wHAGIjrGO2FARYWFgZbdpmy8uXLIyAgAJ06dTJQ1U2bhYUFAgICMH/+fISHh2PBggXo0KGDYlB21KhRRv1OmjZtilatWineJl+UovEndBNYdHulL1u2LNfnpaLJ2dkZ27ZtQ2BgoOJ5YoMGDbBt2zbFhVbFRZUqVbB69eocS9pL1buUKuwkJyfrJMKmQzPG5MkC7wMAbGzSkJAQjjNnzmDGjBkFkiggOXbsmE7iiLwljPSZNBG6i/EAkXT9MtW33N3dMXiwfjUrJePGjYOZmRlcXV0xevRo/P7779i3bx8GDBggSxQAdJMFJIcPH0bjxo0RERGB5cuXo3///i9VgUL5vXc2gHUAPoamAkO01h6HDsViy5YtBd7OlfJO0Z4ZIKI8Ybik5XNoMp5PQbp4tbAQJ00TJ07EqVOnFO+p7R1oAqDyldTyFamVAfTUuZ+8z9NT3L9/H5988gk2b96cvbVCBXHhdvkyspMFvL1FgOzWrVto166drJSs/CLvLM6fP49u3bpplcrOiauruP+NG5q3TqkFAWBMsoA4rjNnjIvGqtXAuXNSkEvK5j8IzQmAfNXv+wDkK8NaQbuNgyh1qkSqKgAoJwu8/XY6VCqxXWqLIK8sIF3X2dvbK2S6pkFMxAG6yQKtWmkmKOTV6OSVBdRqNW7cuIFt2zSljfz8UlG2rHgt/vNP4ScL/Psv8OSJeE1Ix+XkpM7+nSm1IQgLC0OfPn10yq2bAViY9fUZAN0VTUchJmM2A5AH4KVkATOIPmKAWLmg1J5B/jdQrixgbCZocnIy7t6VnltaOfKBbI8DSE1NxaBBg3D69GnoEpn60mu5DESigadsDxtoLiSOQm79+vXZ7RsyMzMxbtw4vP/++wgLW65wpJqVHc2bNzewKu8HiODxSL1bDK3czy8ffPCB0X0onZ2d0aFDB73tK1euxL/ybButZAFpklOqKvAcUmk1CwsLfPPNN9i1a5fBPmP6k5ZpEEkWgEgs2623v3LWvlRm0woi0cU2e/vx48cxc+bM7LJnq1evxqRJPaGZQA2CJgFNmqDU6N69e3ZQwNvbG6tXr1aY3JVaIpSGqC6gbcaMBXj+XLzP7dq12ugysGZmZjA3N8e9e/fQoUMH7NkjJSXIKwBcxv37iRg4cCD+97//5fqYykHOhQCmQPQ+NWb/N1NSUhICAwNxSZQXgvZr/ToePTqIfv36YcuWLUp3z1cPHz7EwoULZVukZAFziNevJjj4xx/bEBwcjOTk5AI8wuJF6b1SJIqNhnb/RVFC1tgSpaaubNmymDZtGpKSkrBlyxasXr0a0dHRiImJQZ8+fUympHFhcXJywrZtYvzpTvZZWVmhe/fuiIqKgqurq4FHeH316tXDsmXLcpxsrF27NsLDw1nC+BVZWlpiyJAhRu1bq1Yt+PnpJmTnjYULF8oqBW2G9rWp5vw7PT09XxNU3nSOjo7o0qUL+vXrh65du5pU8pdSqy1A+uxPgQio5Lb/61OpVFiwYAFCQkIMJox17NgRa9euRalSpfDdd9/pVETYAk3pYem6ZTM0SQHTINpL7oBSZbT8WD1fsWJFDB06NNf9rK2tMWnSJADiM/JVVupWqlTJYKWX0qVLY/PmzQaSCVIhfjf61y9t2rR56dYLb7rKlStj7dq1OfZXb9asGZYvX64X9M3IyEBUVBQWL9atzHETovrlNog+7BLtZIG9e7WT0enN4uTkhMWLF+Po0aOYOnUqRowYgfHjx2PPnj3Yvn07atWqlfuDvOEaNGiAuLg4jB8/HtWqVYO1tTVsbW3xwQcfYMmSJdi8ebPBBLo1a9YobJUW4cg/k0VlAReXC6hQwbVQ2qLpX3+fg3YAfBtEsoC28uXL44svvnjp5xs3bpzB1g2AmJP76aefDFy7AkuW6LYPvSr7/oHWLb/++qtChUrjKJ8LXwLQDeLzXRKttce1axfRr18/NGzYMF9aKVH+Y7IAESEoKMiIycLnkMqgZ2RUx4MHD7B2bU59wCUqAPOgCYDKT9blyQKB0CQHKAVPxMpKtVqNYcOGZfXKBipUEMGjpCTgQdbnopQsMGbMGFkAAdBNFgDEZMxnn31m1IW4q6t+ZQF5soCnZ87VFaTKArdvm+Hhw9wnZ69cMUNqqhSElValZkBcdAMim+9XiKSAxRC/Y+lntIa8tKWvry9q1KgBJfJjKVVK/2ewsQE8PcXj7tv3EMnJyXjxQrOfVFkAAP7v//5P4WJOCpbVBSCCWC1atDBYWUBKFnj6VI2WLVuiTp06+PHHaACAuXkK4uJW4e23RZbi6dP5003n+fPnOHDgAKKionDo0KEcsyLllQOkZAFzc5EwAADnzz/BpEmT0Lx5c7zzzjto2LAhhg8frnDSNhCaAOgkaAKwcgMgxsoL2Tb5yaE7xAn3TgCbIEr5y/XP+noGmovjZMhXsRhbWeCXX36BWi0FfKUJ7iZZX08AEGWrXrx4oTjh2aBBA7z1lnQ/MwDShEsGgF7Q7mupXSL/2bNn2Sv+J0yYIAvIqaG9IucMgOOwsrLCypUrsXbtWnTr1k3hp0kA8CHkiQWSgijPLqdSqfDTTz/leqGkUqkwc+ZMxUml9et1V6vJJz/qQCQMSJVc1kO6qEhPT8c777wDe3t7g8+r/F4pvT/tgW7p5KdPnxpY2Rkn+34p5MkCarUa06ZNw5AhQzB//nwMHToUt25dgOYzQyrNmwpR7lSjUaNGmDp1qt62uLg4nc+5fRCrSgBRXUD7fSsjQ9Nu5+DBrWjZsiX++9//Gp0hPXHiRJw/f162RZ4soPnZR44cidu39asDyPn7+yu0eUkB8A0A/eo4HTsqJQq9mUaMGKHzmpRfIIu/r1qtVtgv/61fv16n96y8NG5DyJMFgDRERUWhdevWiIuTjw3KKx999JHRAd82bdrAw8Mj9x2LEDs7OzRq1Ah+fn7w9vYu9kkCcg4ODpg5cyYSExMRGhqKH3/8Eb/88kuerEY2VqtWrbB//3588cUXWglfderUwU8//YTIyMgCOY432WeffZbrai5PT0+sXLky14oUr+LRo0eIjIyUbbkHTeIuoLuifOPGjXjx4gXozaIc9FwF4CuIMr5qI/bPG5aWlvjxxx8RHx+PL7/8Eq1atYKfnx8GDhyI/fv3Y9OmTVorC7UrPKYB0K0EJj8nfw6gM0SVykdae7m7uxtMSn5dY8eOzTFhwN7eHmFhYfD11cxDTJkyxeCiCiVVqlTB2rVrc7xeKlWqFGbMmIHp06cb/bj9+/fPfadiqH79+jh48CCmTJmCWrVqwd7eHs7OzmjVqhVWrVqFiIgIvdWyDx48QKdOnRAcHIwTJw7pPKJ0/ZcBMU8JiNeodslt7cR7elOVL18e/fv3x+jRozFkyBAmCehwdHTEkCFDcODAAVy9ehUXL17Ehg0b0KFDB8WKApKrV68qbJUSzKTV+po2wXZ2iQr7Fwzla6Ifs77+DaAPdD+bK1asiPXr1ytUrcqdubk5pk+fju3bt6Nr165wcnKCtbU13Nzc8PnnnyM2NlavJafkyZMnWa2s5OSVBbSr+CQmJupUBTWel5eXgaqnuk5C87cFpJjElStX0LlzZ/zzzz+K9yLTxWQBIoKnp2eOmW0aohXBP/9YYteuXQol9BwhyszJeywGA3gv6/vvoSmdDIhghxTEknqMZUKs8typ89iak/WnT59mr8Z0dxcfROnpmg/4WrUycP36dYXy5/JMfc1K15SUlFx7oZ09exaXLomS8YmJ9xEYGIiwsDCcOSNOGhwdMxVX5cu5u2uCn6NHL8f69ev1fofp6emIiopCnz59EBAwRnaLvIT1aNnx98v6Xkq0+BKastQiS97MzCzH/tXyZAHdnyE9PR3Lli3DnTtitXBMzD00btwYvXtresLJY5ru7u5Yt24d3N3dZY+yR/Z9M/j7+2Pp0qV4/lzzESQvD2dlJf5OGRnmSEyUelw1yNoWi//8ZyiuXBEJE//8Y45XTJRU9PjxY3z33XeoU6cOAgMDERwcjHbt2qF+/fqYOXOmwmseOHdO83d1cdEcjNSKYNWqP/Hzzz/jxIkTuHz5sk4AMfueEOMDECv99VdgGKabLDBJ9v9vZN83B+CT9b285PULyPs13759zUB/Ko3nz59nJQtJ47IERGKQlCygHcBcv3693gW3SqVCz56tZVukPub7AKyGqIJwEeLkcw90WVhY4MyZMzordwHtcS6C/6mpqfj1V7GCo169evDx8YExbG1tC6Vn7HvvvYc1a9YYDAzY29tj6dKl+OijjxRv178gkCcL/ABR7lSqmKCdmZzbCmzl1VkjIPqB6ve9dnFxMTABFwdgUdb3baFpj6AJ6K5btw4TJkyQ3Ue3NcdmSBcmpUuXxujRoxEREaG4Wsna2lohQUeqLlAK4rUiv+CV/5yiH0F4eDhGjtSvPqHr3r17Cp8p8iQDTfuRFy9eIDw8PMfHk1bIGaN06dIGEmLePAkJCTh69KjOVvkF8q7s7x48eGB0z9O8ol956SE0lVx6QpTulYhkkidPniA4OBh37twB5S0rKyv8+uuvua5mrFix4ktN7tObo0yZMujUqRNCQkLQuXPnAl+N7OHhgQkTJuDUqVO4cOECrl27hj///BNBQUEKCWP0sqSV1IsWLdKrqufg4IAvvvgCO3bs0LmGyTs3btzIrpikIU/u1L7t+fPnBd4Ki/Lfe++9p3B+/wIiMLFbb/9OnTrl+zFVqFABY8aMQXh4OFavXo0pU6agZs2aevv9/fffOlvk1xA3oD9/oyw4ODhfEnIAMe8xbtw4HDhwAAMGDECNGjXg4eEBX19ffP/990hISEDz5s217mNvb4/NmzejR48eisnaKpUKVlZWqFevHmbNmoU///wTFStWNOp4goODjbqW/M9//oPGjRsb9ZjFUenSpTFw4EDs2bMHZ8+exalTpxAeHg5/f3+9yhjp6ekICgqSJd/qtnOTVxWdBZE03hG6VT2YoEf06pQXvkifce9DVEJ9F9L8S0pKFK5cuaJwn/yn3P4mCoArxDFqB+Br1qyJffv2GV0N1JAGDRpg4cKFOH36NK5evYpjx45h4sSJqFSpksH7SIsmtckXYd7Qu/XBgwd624w1depUI6pWqqGd/Kp5L3306BG++eYbvXuQaWOyABWoc+fOYebMmejbty+6dOmCvn37Yvr06Thz5kzud6Z8NWXKFHTt2jXHfZo1Ex8SZ86Y49YtpWDiDAD/gehVFwGgEjT96s5Bv6y6tB0QK+EBUcLmJjRBHECc4GsHeaTM9oyMc1rbVapMVK78L6KiopCZqbtKXj4Jox2w3bZtm8KxiRLn48ePR6NGjXDy5I6s53TBgQOHMHz4cISFiYuQnFoQZGRkYMqUKRg8uFn2tnXrkjB48GDUrVsXoaGhUKvVuHr1Klq2bJndd/XmTWmSMgMiYCq5CLEqUTrZkgIOsRDZ0VKbhgAA1qhSpQpOnz6teJKQlpaGw4c1mX7W1pqAbmpqKj799FOMGjUKT55Iwa3qACxx/bomkJGerh0ErlmzJg4cOIC5c+eiSZMmeOuta1CpRD/QNm2mIzw8HHZ2dnj2TJOkIK8s8Mcf8hKHthAZp1LfP5EZfvGi+Hs9fGiGW7dy/ihTq9W4d+8ebt26Jevhru38+fMYPXo0atWqhblz5yIlRbsM3c2bNzFt2jR0794dz549Q0ZGBtasWYPWrVuje3dNWdPvvx+G33//HWq1Gqmp0smuMStCpkNTHv4LaAcWcyPPJA0CIC8X1VD2//9mfX0E7T5cgLwVwcmTx1GnTh0MHz4cjx49gq7MzEzMnTs3K/gvJU+UBNAUImEI0E0W+Pfff/UC2PHx8ThyRH6xLt1XKmkVD9GexBuakvWCh4cHXFxcsHz5cr3j0x7nmuonMTExOHdOvF/MmDHDqPKXP/zww0v19cpLTZo0QUJCAhYtWoSAgAA0btwYbdu2xU8//YTjx4/nWCJb/2d7AmABNL8bqYyxbok15Joootzf9CyAbyFPOpHv7+npqTcxJ4yApvSq5JnCfhLdZIHF2d+VLVsWX375pcGAio2NjUKJ5wMQ5fwBkUwzR3ab/KJIM1kfHh6eazm1PXv2KKwGVK4sAEBnpaGyiRMnKk7cyllaWuKXX34ptNdsQVNuIaRfWSDn/fOPcsk/6f2tHoBQ2XbN6+PBgwdYuXJlPh5Z8eXr64vNmzcrJoypVCq0adMG27dvR7ly5RTuTVQwVCoV7OzsCqUU65tOpVKhe/fu2LVrFw4ePIhNmzZh586dSExMxIQJE3Lszfu6lP+eqyDObY5C03Iut/tQUWZlZYW+ffVbSCkpUaKEwdWFhUE/2eUURHlmAPgZugkvSmrWrIkBAwbk8ZHpq1atGr7//nvs3bsXR44cQWRkJAYMGGCgB7NIGJg3bx6OHTuGGTNm4KuvvsJ3332H6Oho3L59G9euXcPOnTvRp0+fl2qhoFKp8PPPP2PEiBGKre0cHR0xZcoUBlPy0LZt23DwoLz1qW5lMfn1QAbEazda73FymxslIsPk1Vs0ZkBahCES5DQJUtevb4C/vz+SknTne/JfnTp1DCwmugHtiq7C6NGjc2wdlp+UK9okQiwSmwbdeSZAJEO/Ki8vL2zZssVglWKNaNn32nPu0dHR2fOwVDTkT/1mIgV79uzB3LlzYWtri+bNm8PFxQV37txBdHQ04uLiMHTo0AIv90walpaWWLBgAbp06YKlS5ciOjoaaWlpsLOzQ8eOHdGvXz+cP18PMTGiX31Kiu5qGw9oVgYDoo9NIDRBqf9C6YNWBJnelf1/ddbXgxDZfG2hOaHQuHPnDtq3b4+DB59D3s9crT6Nxo390KhRI4XnkrKKL0M3IGUoQDZx4kQsWLAg63/y3vBvAbiKtDRRpvbixT+xc+d9+Pv7a5UxyszMxBdffJFVFlwFcbFiC6BG9vOOHTsWu3fvRlxcnE7JYmnVyxlogrLZRwygNURw6/Osn2cARGWGDVnf2wHwR3LyNnz77beYMGEC6tSpg4CAAHTu3Blr1qzB8uXLcetWS4igMtC1a0sEBX2IL7/8EpMnT8aOHVLLA+mkzRJSwoBk8OC++Pnnj+Hv75+9SsDGxga9e/fGkCFDkJKSgu7drbFrF5CU5IQdO7aiQoUK+Pff+tmPIVUWuHnzJg4e3A1NSXobAFUgejwDmp7PJ7Lv+/ffahw6tBk7d+7E/fv38eTJk+x/z549w7Nnz/DkifjblyhRAhUqVICrqyvc3Nzg4eGBmJgYo8s+x8XFoVu3brh58yYuX5baBGh+jvj4bQgK+g3+/v64cKEvRMJMTkEHMwA/yX7eVdBdRV+hQoVcsmyfQwQznQG0z9omBczKAPgaIsFEum0JgMc6j3EampYFaXjx4gXCwsJw7NgxbN68OXtiJSMjA4MHD5b1rJQSRZygCdw+gdLKEqlMWXp6OkaOHImwsDCIihFf6+wp73+l3NpD6gF54MABhVuliapkANpB3djYWFSuXBl169bFunXr0L9/f1y/fl3vEWxtbfHDDz+gR48eercVJGtra3Tp0sXoVeWSxo0b6/QVBUQSytcQQfGWAKpBXFBoBzRzCzS/++678PHxwbFjx3LcDxAXidKF16hRo3DgwAGdMv7PAPSGuKixkG0zRH7xeAHyleNnz57FyZMnDZYRNTMzQ/v27RERodtqYhhEZZZmEO+liQB+gXZlAe2VfcuWLcPs2br9LzV0k40EaUw+hW5bDWOyvaVVT6NGjcKWLVv0Jmzffvtt/PDDD8VqVdLjx7rvY4Dmc/pvaCdSIftzoKBUq1ZNYesEAGUhWsLIJxm0E8T+97//4csvv8y3YyvOfHx88McffyAhIQF79uzBkydP4OTkhPbt2xu9UpCIijaVSoXKlSujcuXKBfacFSpUQLly5XDr1i3Z1gfQXO9p8/T0LPDqFlQwhg4dioMHDyI6OtrgPmZmZpg7d+4rlTjOL1WqVMH+/brtr3pAzA0k5Hp/X19fLF++XDFobipcXFzwySef5L7jSzA3N88ucb5p0yacO3cOKpUK3t7eCAgIYOWYPKa/mECeLHAWyq0etZUsWRJ9+vTJdT8iUta5c2eMHz9e5/r7IUQ1ylkQFU+l666TAB7g3j2gV69eiIuLK/DFDyNHjkTv3r1z3a9evXrw9/cvgCNSZmdnh6ZNm2Lv3r06t0xR3N/Hxwfly5d/reesVq0aYmJisG/fPmzYsAG3b99GfHy8zpxXtOx7/QV6e/fuLdBzbno9TBagAnH58mXMnz8f7u7umDx5slZGb9euXfHNN99g3rx58PLy4kRdIVKpVGjZsiVatmyZtTI6FVZWVlCpVLh37x5WrfoVosw9MGeO7gq9/4MmgLwZopSX9P/t0GSd65JnmKVDBLolgyEyDtdC16VLl7IqUjjo3HIcN2/exMaNG/XuIwJAlQDol3xWyjI/e/asLFEA0C/3fh2AFwDg3r1D6N17AgIDAzF//vzslSARERGy/uFqiKDsO9D0aRKUVzxKq+kN9W9KhwgALoGYbJKqJeyGOBGzh2hFIH73GRkZOHr0KI4ePYrJkyfLHkeTafjw4SXMmzcPO3fuxIUL8lXC8mOoDVHGXEhJuYmgoCA0atQIK1as0MtcTE5Oxo0bpwB8imvX7BEU9H8AbsHR8QcAoj2ChUUaAEusWLECarU8AGQLqQWBIPV81iQL9Oo1GYDhwJ3c8+fPcebMmdeqZvLXX3/pbJEmcdIh9br7448/AEgl4g2VsCsF4H8QFSAA4BKk8SW3cuVKmJmZYcWKFfj777+RmZmJCxcu6JSpvgbt4OZMiH7Y3wL4EKKSgBk02fO65OWyNSd3f//9VU25ggAAIABJREFUN8aOHYu5c+cCAGbPnq0ThJaSWOrLtv0fNK0wBBcXl+yT1K+//jorUQDQXgUMiL9vzuXHKlWqlD2Jo9QWQozLalAa5/JWCL6+voiPj0dkZCS2bNmCu3fvws7ODi1atECPHj2K9OrskJAQhWQBQLwvbIam+og+Pz8/g7cB4nNi0aJFaN++fY6l0suWLav1/unr64vFixdj4MCBSE2Vr7KPhwigSu9J+tUsNOTJH0ugm+hw755+YpncgAEDFJIF0iB6xB4G4AlgLkRymzzJRztZILfkIuXs7eUA3gYQCd3AsLHZ3mXKlEFoaCgmTpyIzZs34+bNm7CxsUHjxo3x/vvvF7se5MorQKdCvC/pj//8XDGqpGvXrpg0aZLO+1QaRDJfMjS9EAHtyhPiHCczM1OvtCrlnfr166N+/fq570hElAcsLCwQHBxsdJuTkJCQYve5XlxYWVkhLCwMkyZNwsqVK3UWC4gE0IkTJ+Z6Tl7QevfurRCIfQalRAFLS0tUrVoVKpUKVatWRVBQED744INi/Zq2s7NjADqfqdVqxMfH62yVBytzrzJmYWGBhQsXmlSiDlFRY2dnh7Fjx2LMmDE6tyyAqEZcCZq5fM3cyq1bt7BmzRr079+/YA40S6tWrTBjxgyMGjVKoUKx4O3tjZUrV2Yvgios/fr1U0gWMLxvXlCpVGjatCmaNm0KAGjatKlOssBJiHiJO3TnggHRSpqKDs5AUYGIiIhAamoqhg0bpheUtbe3x3//+1+kpaUpTOJTYVGpVLC2toZKpcLJkyfRrFkz/PrrV9BUB6gl29sFYpUcIHovBkL0470LEcQclsMzyZMF/oB2FYHLWY+zHro0waYUaAeXcioPfQZAF2gnJAhK2YHLli3T2aKbLOAOEZAFRJYysGnTJnz11VcAxMXK4sWLoe101tfcyvhYQwQ8Af3S27oSoN1WIRWa5IwOyD0vTCpllA4p8zo5OVlnBfB5aFb81obm5wakwFdcXBz69OmjVeo/NjYW/v7+OHFirmz/5gCA+/elAMpT1Kvng549e2LWrFnQXllsC03QPRma3usPoVk1mnNp7lfnCqATtFd/KpGCirehHbyUTpJcICojTIQIZF+ECJAmQpMocBCiuoN8tZEIsletWhU1atTA1KlTsXXrVsycOVMhSCt/bd6FqDgxB5pM+qZZXzdnPb+u07LvtQOZGzZswJ07d/D8+XOEhoZq3w3/6vz/D4ikHG19+vSBhYUFkpOTdcaVbrKAUpKPRpUqVbB27drs8lvKF/FdAAyBWDWvTXd/S0tLdOzYEUuWLMHmzZsRHh6O/v37F+lEAQBo1KiRUf0xdbm6uqJNmza57le5cmVERkYarAb04YcfIioqCp6enlrbAwICsG/fPoU+pdMgLhx3ANiSwzOfhRhH4dBuGSDk9nfz8fExUObzLkSC21NoqqdIF6+Xofs6V05S0WjevLlC6eAbAD6FaNGjzZjfuVz58uUxePBgTJgwAaNGjULjxo2L5eSrciuOywCGQ7zHamvfvr3etvzk6OiYw0THdIhkvnsA9kK3v6CFhUWx/JsSEb3JBgwYYNTCiGrVqiE4OLgAjogKi7W1NSZPnoykpCTMnj0bI0eOxNixY7Fp0ybs27fP5BIFAHEebWwl0OHDhyMmJgbR0dFYvHgxmjZtyvMaKhDac1iAmJOR5hxynmuoXbs2IiIiEBAQkON+RJS7/v37K8y9pEK/sqj2QoxVq1bl52EZ9Mknn2DHjh3o1q2b1lyOl5cXJk2aZDKt6tq2bYuePXvmul9AQAC6deuWL8fg4qLbalcNMbfxDYBFRuxPpoyVBSjfpaWl4eDBg6hWrZrBsiOVK1dGlSpVcOjQIaSlpcHS0lJxPyp49+7dQ/fu3WUlE08DqAvtZIH/QhNQnZr1dQ1ERQAr6JfQl5Ov8F7zikd5CZpV+Dn3klZiY2ODXr166W2PjY3V2SIvadwG2kFtTdJDWFgYhg4dCgsLCyQm6lYFkFZwV4b43aRCWSA0b9GGKgvkZANEeW8niEDx7hz2lVa15lQKOxNiNb8vRLsJea6Z5mc4dOgQtm7dik6dOiElJQUdOnTIKhV9DCLQ7wCgBcTfWur39xS3b9+WVVeQZx1+BbEyHtCvTnECgBu0X4t5oQaAkRC/PyuI1gf+0C/dL5FOGG/qbJeSBcwh/h4dZLfJJwpXAwiB0jj5+OOP9YKOhw8f1ttPO1ngR9mx/gLtagWGKjAYThZITU3F9u3b4ejoqNCuQ37MjwDoZ66WK1cuO2D222+/6dyq+5rTTuSxsrKCubk5atSogeDgYHTu3FmrP1jXrl0VWhH8nfVPm729PVq2bKm3/U2kUqkwe/ZsWFpaIjxcf4W1EgsLC8yZM8foTGlPT09ERETg3Llz2LFjBx4+fIgyZcqgdevW8PLyMng/Ly8v+Pn5YedOeauKDIgqKcaYoLjVxcXFYAsCuWHDhsHJyQljxozRCfonQrTqGATxun4I8frUr2zj6uqa43O4uLggMDDQqARIKysro0rekb4qVaqgRYsW2LNnT677urm5vXRSRl4YO3Ysrl27ZqDa0UYAW6FUqs/Hx4eT6kREbxgHBwesW7cOvXr1wtmzZxX38fb2xqpVq0y6VDvlndKlSxep88DQ0FB069Ytx3Zk3bt3x4gRIwrwqIgElUqFChUq4NKlS7KtLyB6o7tDqVXi559/DldXV/j6+qJevXo8/ybKQ8OGDYOtra1OhYE1AEZA045Ye95du8JtwfLx8cGCBQswc+ZM3L9/H1ZWVnB2djap9wVprs/FxQWhoaF48UK73bOlpSWCg4MxadIkhUU6eSMwMFChusFhaCoBa5QsWRKtW7fOl+Og/MHKApTvzpw5g9TUVNSqlXNAr3bt2khNTTV44UyFQ/S0l692lla5S3/P0tAEeXYCOCLbNxM5JwoA4sQgAiJI+DrJAhLtZAFjAl/Tp0/PXqksJy9ZLjyHpsdZP2gHNrVftytXrjRQEvtk1ldziIw73bdhFwBhEAFk6TmVgsO5+R2a1bCTIALV1gb2lZIFHubymFLQ0R1S+wBBO+FBKk8YFhYm+x1kQqyeBDTBf9usr7o9yuXJAlISRzKAcTr7Sa0IcqosUAKiTcDbEJUaDP0OVBAJIFsh/kYh0FRPaAhROtxW5z6lIALx0sqPWzq3y/8vJQokAlgIEYDcAVF142MojZNKlSrhiy/0A6j62fKAqEwAiBL+82XbZ0Lz9zkCYJ/CfQHRPkE6Xt3XvSgHdvmyUn8/+d9uOHRbCJQvXx5r165F2bKiFYN+okOq7DFOAvhH69bx48fj8uXL2LFjB3r37q2VKACIXmjGZql+8sknsLGxyX3HN4SlpSVmz56NmJgYhISEwMvLy+D7oYuLC1atWoXmzZu/9PNUrlwZn3/+OcaMGYPPPvssx0QBSUhIyEs/T26CgoIUVvMr69OnD37+Wakdxx6IajafQozN8VBKPDEmQ3v8+PFGrR6cNm0ay1y+hlmzZuXah69kyZIIDQ0tlERUCwsLLFq0CIsWLYKTk5PCHvqJAkD+jBEiIip8np6e2LNnD+bPn4+GDRvCwcEBjo6OaNy4MUJDQ7Fz585ckxKJCkuZMmWwefNmfPPNN6hQoYLWbT4+Ppg3bx7mzZvHNkpUaJRX3J6EUqLAO++8g4kTJ2LQoEGoX7++SQUEid4Uup8VYhX6EIiFGdHQXriEfAtwv4ySJUvCzc0NLi4uJvm+YG5ujnHjxiExMRGTJk1Cr1690LNnT4wfPx7Hjh3DtGnT8nXuo3PnzgbmNvR1797d6LabZBpYWYDy3fXr1wHkvhJPuv3atWuoUSO3Eu1UENRqNVasWKGzVQqcVAYwGGLFtRRo/z7XxzQ3N0dGRoZsSyaAHkYdj5OTE5o0aYLNm3X7bUvVCW5At5RvpUqVYGFhgVOnTkFXmTJl8MMPP6Bz586Kz1e+fHmcO3dOZ2tXiGDvO9AEnh8B0C4Lf/z4cQOrBLZDtA2oDxGQtoFYqe8C0cd4GACpr/I9iFWu2j+Tra0tlixZgrlz5yqsqpY8gwhwdwHwPkT5+ccQSQS7s/5ZQlSFkHrn5VRZABBlv58AmAURKJdoB6/j4+OhVqvxv//9T+f+uyFKfVeFeP1oKgvoH7vcC4jXiO5+UrKAPYChALwB+ED8/uwhkiCUgoc3IErx34BY/f8YomSSvPJJGoBVWcfYDUATiPLoQyH+do0ggvzykx7dShS6vZr2QFSMyKknu+Dt7Y2wsDA4ODjo3ebu7q5wjxVZz3cU2r+/6xBB/IEQJ+Q5+TZrv+V6t9jY2BgINK+HCKyuA7BU6xZXV1fExMRonRhq96qXnIIYT/or4JX31z6u3377Dd26dcuxD1bz5s2z24MUNzVr1sSPP4re6GlpaYiMjERUVBRSUlJgb2+PNm3aICAgANbWhhJp8p6fnx86duyo8F6urWLFiqhXrx42bdqU437e3t4YMiS317e2du3awdXVNfscxVhOTk5GJQuULVsWW7duxWeffab4Pu3g4IDJkye/UrsI0nBzc0NkZCSGDx+O6Ohovdu9vb0xa9Ys1KtXr+APLouZmRm6dOmCunXrwt/fH0+ePMlxfx8fH3Ts2LGAjo6IiApaiRIl0L17d54DUJFkY2ODYcOGYciQITh79iyePHkCZ2dno5JkifJbUFAQFixYkFXdMmeff/55ARwRUfFWq1YtqFQqqNXylq2HAJSF7lwyANStW7egDq3Ic3R0xODBgwv8eaWYRM+ePXNs0Vm3bl1MmDCh4A6M8gSTBSjfPXokAmO59RKWbjfmpI4KRkpKikIgRUoWMIMImkviAMTk+HjOzs4ICgrK6kufu/fffx8uLi6wsbHBBx98gA4dOiA8PFwhwDQbgDOUekG/9dZbWL9+Pfbv35/de93GxgbNmjVDp06dclxp3KVLF+zfv19n62GIUvw9AUwBUAmAfiAoIyMDXl5e8PT0xMWLF2W3pEKsRI8C8B5EELwugCrQfkteAVGa6a7icfn5+cHPzw8XLlzA+fPnsXHjRqxZo1uZ4b8QgelAiPL/pSAC34YCXesNbJdbAuBPiIByM4hqBNoVFNLS0qBWqxVWostLRZ+GZgV7TpUFANESQKnU4QnZ90qrhA0pn/VPSQpE0HsOxCp5c4iqA10hKiKcULjPEYjS/7rlys9D/L2tIH63vSESH3L2008/4eOPPzaYUduiRQuULVsWt2/LkxEyIZJDlCzI+pebxVn/9DVt2tRA4H4/RHKGWu+Wtm3b6mWQurm54cQJ3d9hJ4jSgOv0HkM5MUKbr68vtm/fjgkTJugFC8uUKYPg4GCMGjXK6FXnbzJLS0t07Nix0AORKpUKCxYsQMmSJbF69WrFferWrYvffvsN5cqVg5OTE5YuXapzgSk0adIEixcvzvUcQ5elpSUWLVqE7t2753iBI2djY4Ply5cb/Vzly5fHpk2bkJSUhHXr1uHGjRsoUaIEGjdujI4dO6JEiRIvdcykzN3dHWvXrkVycjK2bt2Ke/fuoVSpUvjwww/RoEEDk1kNUKVKFaxZswZBQUEKLV2EevXqITw8nO9XREREZNLMzc3x9ttvF/ZhEGkpV64cli1bhqCgIIVKoRpffvklOnToYPB2Isobbm5u8Pf312lDCSglCgCiIiiZvsaNG2PTpk0YM2YMjh49qnWblZUVunbtismTJ7OtVhGkUivNvBLlodWrV2PVqlUYN24c3n33XYP7xcfH47vvvkPv3r3Ro4fySvOwsDCsWrXK4GN07dqVHyx56O7duwrlkR0gSu5Lq98fQwRQv4BYMa+vQoUK6N+/PwYMGAAHBwe0bt1aob+NtgYNGmD37t16wZRLly6hSpUqikEjJT/99BP+85//GLWvrmfPnqFq1ao6bRjkrCCCnIchVtxr9O3bF6GhoZg1axZGjhypcF87iJL3zXW2x0C0DfhT8RnNzc1x5MgRvbYeycnJqFnTUDl+S4gEhS4QlSDkWf9pEO0fZsHQ30+ZCkBbiLYM2mW6K1asiHPnzsHJyQkPHz7Uuc8eiCQDuWgALWT/t4Moi28JsZrfUGDTNuv5pdfifYgM1RsQVRKknuPS95YQP3ulrK/lsv45Q7yGF0K0f9C9qLSECGTLLyYfQrRVmANDfyvBHyIxIQwioJ+zmTNnYtiwYbnuN336dJ2+Xy9PP7tXma+vL+Li4qBWq/Huu+/i+PHjud4HENU1dHvIr1+/3uD7uy4HBwdcunTppVoHnDlzBvv27cOzZ8/g6uqKtm3b6rUuMEUqlQpmZmbIzMw0+r3tTXHy5EmEhoYiPj4e6enp8PLyQkhICPz8/LRKmF68eBFLlizBkSNHkJ6ejipVqiAkJAS+vr6v9fyxsbEYNGiQYvUZuVatWmHq1KnMdC8Eb9r4uHv3LpYsWYLly5fj3LlzsLCwwLvvvovBgweja9euJpsoYGZmlv25kZmZ++cZFYw3bXy8CThWTBPHiunhWDFdHC+mjWMnd8eOHcN3332Hbdu2af2OfHx8MHLkSKPnJIzFMWOaOFZMw5EjR9CsWbNcF2k0bNgQMTExRrUTprz1OmMlPj4ee/bswbNnz1C+fHl06tTJ6HaxlDfysn0HkwUo323cuBHLli3DmDFj0KhRI4P7xcbGYtq0aQgJCUGnTp0U9/nll1+weLHyylcA+PTTT1+6FDEZlpmZibfeegt37tzRuaUsAC8A56Bbfl/u0KFDqFWrFkqWLKm1su/x48fo3bs3tm7dqni/1q1bY/Xq1Qb72gQGBuZavhoQpXGuXr36Wv1xYmNj0bp161zLBivdr1GjRnj+/Dn8/PwQG6tboh4ASkKs0G8BURVhIZRXrgsqlQqLFy9Gv379FG8PCAhAZKSh1eVyXhCr5G0hguDXFPeytrZG3759sXDhQsXbDRk3bhwmTpyINm3aYMeOHTq3qgA0gEgA6ADROmA4RHUIuf4QLQW+Qc7tEWpBVGZIgKhWkF8faVYQ5fZfQCQk/JOnz1W6dGn8+OOPGDRokFH7Z2ZmIjg4GOHh+qX7jWFtbY2BAwdi7ty5Oe5XsmRJxMTEZAdkd+7cibZt2+Z68hgSEoKlS5fqbU9LS0PNmjVx9uzZXI9x7NixmDx5cq77Eb0utVqNPXv2ICoqCo8ePYKDgwPc3NxgbW2dXQmgcuXKuT8Q0UuSLsNMpfoBEREREdGb4urVq0hISEBaWhq8vLzg4+PD826iQhAVFZVj+1CpYiiDzESFi8kClO927tyJefPmYciQIWjVqpXB/Xbs2IH58+fnuB8rCxS8MWPGYPr06S99v8aNGyMmJue2BEeOHMGvv/6KpKQkAKK3dr9+/XItG3zlyhU0adIE164pB7kBMfEeHh6eJ70gExMTMWrUKOzatcuo/Zs2bYo///wz+2d49OgRQkJCjEpwMKROnTr47rvv0K5dO4P73LhxA02bNsWFCxde+XnkJk6ciLFjxyI6Ohpjx47FoUOHcr2PnZ0dTp48CVdXV2zZsgWdO3fO5R5WEKX6ixd/f3+ULl0aJUqUQJMmTdCrV6+XLs+UmZmJBQsW4Oeff8b58+ezt1taWqJ27dpITExEenq63v0cHR0RERGBFi1aYObMmfj6668V9ytbtixWr16Npk2bam1fs2YN+vbtixcvlFsq9OrVC0uWLDG4OvbUqVNo2bJlDhU7gPbt2yMiIgKWlpYG93mTcCWCaeJKBNPA8WEaOB5ME8eH6eFYMU0cK6aHY8V0cbyYNo4d08MxY5o4VkzLlStXEBoaiuXLl+PGjRtQqVRo0KABBg8ejB49ephshb3igGOlaGNlASpS/v77b3z99dfo3LkzPv30U4P7LVu2DBs3bsTUqVP1Slcb6+5d/f7u9HquX7+ODz74AI8ePTL6PqVKlcL27dtRo0aNfDuuy5cvY/DgwTh8+LDebS4uLpg+fToCAgLy9DmTk5MxZMgQvX48cjVr1sT69evh7Oysd9umTZswYMCAl3pOa2trTJ8+HT179jQqA/rWrVsYM2YMtm/f/lof8EOHDsW3336r9ZxTpkzB7Nm6FQA0SpQogRUrVqBFC01LgW7duun1kX8dlpaWSEtT7m1lCry8vLQC90oGDhyIyZMn51lGe2ZmJuLj43Hjxg2ULFkS77zzDpycnHDjxg2sXLkS0dHRePLkCZydnREYGIh+/frB3t4eGRkZSElJwc2bNxEWFobo6Gg8ffoULi4u6NSpEwIDAw2W8L9y5QqWL1+ODRs24NatW7CxsUGTJk3Qr18/NGnSJNef7cqVK5g6dSo2b96M1FRNsoirqyv69euHzz//vFiVHjM3N4eDgwNSUlKQkZFR2IdDWRwcHGBubp49VqhwcHyYBo4H08TxYXo4VkwTx4rp4VgxXRwvpo1jx/RwzJgmjhXTI42VW7duZSfZUOHjWCnalGJQr4rJApTvnj17hj59+sDLywszZswwuN+XX36JixcvIiws7KV6VMsxWSB/xMXFoXfv3nj8+HGu+3p6emLJkiWoU6dOARwZcPToUWzYsAEPHjxAqVKl0Lx5czRv3jzfMhIzMzMRHh6OX3/9FSdPnszeXrZsWQQHB+Pzzz9HqVKlDN5/6NChWL16tVHP5evrix9//BG1atV66eO8fv06tm3bhnXr1iExMdGoCxYrKyt07twZ/fv3N9iXe+PGjZgzZw5OnNC0S1CpVPD398eoUaO07mdubg6VSoX27dtj//79L/0z6PLx8cHw4cMxaNCgXHtdvY6qVati0KBB2LNnD7Zv327UfZo1a4aZM2eiYsWK2LFjB77//nut1wcAuLm5YejQoejbt2+hlr4zpZPAu3fv4vDhw3j27BnKlSuH9957r1glCUg4uWCaTGmsFGccH6aB48E0cXyYHo4V08SxYno4VkwXx4tp49gxPRwzpoljxfRwrJgmjpWijckCVORMmjQJhw8fxqxZsxT7/p47dw7Dhw+Hr68vvv3221d+HiYL5J8LFy5g4cKFiIiIyO4xZGFhgbfeegvly5eHp6cnAgMD4efnl6flT4xV0B9sarUaZ86cwZ07d2BnZ4caNWoYlaCQmpqK4cOHIyIiQvH2EiVKoGvXrggJCcmzhIs7d+5g/fr1iIuLQ3x8PG7fvq11u4ODA/r27Yv/+7//MypQq1arkZiYiEuXLsHCwgJ16tSBu7u73n7SSeDdu3cRGRmJpUuXIi4uTmsluS5DlQPatWuHOXPmoHTp0jh+/DimTZuGP//8U6vEm6OjI7y9vVGvXj04OTnB0tISVlZWqFu3LmxtbZGWlobr169j//79uHv3Lm7duoWbN28iJSUF1tbW8PX1xaeffoqGDRtCpVIhIyMD8+bNQ2hoqN7vzMnJCdWrV4ePjw8+/vhjVKtWTe93dPjwYSQlJSEjIwNeXl5o3ry5SQTCeRJoenjBZJo4VkwDx4dp4HgwTRwfpodjxTRxrJgejhXTxfFi2jh2TA/HjGniWDE9HCumiWOlaGOyABU5Z86cwciRI+Hh4YHJkyejdOnS2bc9evQIY8eOxeXLlzF9+nS9oNvLYLJA/nv27BkuXbqEzMxMeHh45LiKviAVtQ+2I0eOYOnSpTh06BD+/fdflC9fHt26dUPPnj1hb2+fr8+dlJSEw4cP48WLF3Bzc4O/v7/BcvOvw9BJ4PHjx7FkyRJERUXhwYMHKFOmDNq0aYO+ffuiSpUqWLduHRISEpCWlgYPDw/07NkTXl5eeo9/6dIlHD9+HBkZGfDw8ED9+vXzZcV+WloaoqOjce3ateykgipVquT58xSUojZWigNeMJkmjhXTwPFhGjgeTBPHh+nhWDFNHCumh2PFdHG8mDaOHdPDMWOaOFZMD8eKaeJYKdqYLEBF0vbt2xEaGgp7e3s0a9YMLi4uuHPnDmJiYvDw4UP0798f7du3f63nYLJA8cUPNtNjzEmgWq0u1JL8xRHHiunhBZNp4lgxDRwfpoHjwTRxfJgejhXTxLFiejhWTBfHi2nj2DE9HDOmiWPF9HCsmCaOlaItL5MFCr8eMhUbAQEBqFy5MjZt2oS9e/fi8ePHsLOzQ/Xq1REYGIiaNWsW9iESUQFjogAREREREREREREREVHhYLIAFajq1atj9OjRhX0YRERERERERERERERERETFmllhHwAREREREREREREREREREREVLCYLEBERERERERERERERERERFTNMFiAiIiIiIiIiIiIiIiIiIipmmCxARERERERERERERERERERUzDBZgIiIiIiIiIiIiIiIiIiIqJhhsgAREREREREREREREREREVExw2QBIiIiIiIiIiIiIiIiIiKiYobJAkRERERERERERERERERERMUMkwWIiIiIiIiIiIiIiIiIiIiKGSYLEBERERERERERERERERERFTNMFiAiIiIiIiIiIiIiIiIiIipmmCxARERERERERERERERERERUzDBZgIiIiIiIiIiIiIiIiIiIqJhhsgAREREREREREREREREREVExw2QBIiIiIiIiIiIiIiIiIiKiYobJAkRERERERERERERERERERMUMkwWIiIiIiIiIiIiIiIiIiIiKGSYLEBERERERERERERERERERFTNMFiAiIiIiIiIiIiIiIiIiIipmmCxARERERERERERERERERERUzDBZgIiIiIiIiIiIiIiIiIiIqJhhsgAREREREREREREREREREVExw2QBIiIiIiIiIiIiIiIiIiKiYobJAkRERERERERERERERERERMUMkwWIiIiIiIiIiIiIiIiIiIiKGSYLEBERERERERERERERERERFTNMFiAiIiIiIiIiIiIiIiIiIipmmCxARERERERERERERERERERUzDBZgIiIiIiIiIiIiIiIiIiIqJhhsgAREREREREREREREREREVExw2QBIiIiIiL0M8+iAAAgAElEQVQiIiIiIiIiIiKiYobJAkRERERERERERERERERERMUMkwWIiIiIiIiIiIiIiIiIiIiKGZVarVYX9kEQEb2usLAwPH36FLa2tujTp09hHw6RyeJYITIOxwqRBscDkXE4VoiMw7FC9Go4doiMw7FCZByOFZIwWYCI3ggfffQRbt++jbJlyyIyMrKwD4fIZHGsEBmHY4VIg+OByDgcK0TG4VghejUcO0TG4VghMg7HCknYhoCIiIiIiIiIiIiIiIiIiKiYYbIAERERERERERERERERERFRMcNkASIiIiIiIiIiIiIiIiIiomKGyQJERERERERERERERERERETFDJMFiIiIiIiIiIiIiIiIiIiIihkmCxARERERERERERERERERERUzFoV9AEREeeHjjz/G06dPYWtrW9iHQmTSOFaIjMOxQqTB8UBkHI4VIuNwrBC9Go4dIuNwrBAZh2OFJCq1Wq0u7IMgIiIiIiIiIiIiIiIiIiKigsM2BERERERERERERERERERERMUMkwWIiIiIiIiIiIiIiIiIiIiKGSYLEBERERERERERERERERERFTNMFiAiIiIiIiIiIiIiIiIiIipmmCxARERERERERERERERERERUzDBZgIiIiIiIiIiIiIiIiIiIqJhhsgAREREREREREREREREREVExw2QBIiIiIiIiIiIiIiIiIiKiYobJAkRERERERERERERERERERMUMkwWIiIiIiIiIiIiIiIiIiIiKGSYLEBERUZ5Rq9WFfQhERQLHChEREREREVHRw+t5IuNwrBQdTBYgIsoFP9SIjKdSqaBWqzluiHLBsUIkcAwQGYdjhcg4HCtEr4Zjh8h4vJ4nMg7HStFhPmHChAmFfRBERKZs1qxZSE9PR4UKFaBSqQr7cIhMVmRkJEqWLAl7e3uoVCpkZmZyzBApWLBgAWxtbVG2bFmOFSr2eJ5FZByOFSLjcKwQvRqOHSLjcO6LyDic+ypamCxARJSDEydOYOnSpYiNjcXJkyfh5uYGZ2fnwj4sIpMTGxuLOXPm4PTp0/j3339RsWJFWFlZAQBPBolkjh49iiVLluDPP//EpUuX4O3tDRsbGwBARkYGzMxY+IuKD55nERmHY4XIOBwrRK+GY4fIOJz7IjIO576KHiYLEBHlwNraGlFRUahbty5u376NjRs34v79+/D09IStrW1hHx6Rybhx4wb27dsHAEhISMDp06dhbW0NDw+P7IsltVrNCycq9tRqNX7//XdUr14dp0+fxvr165GZmYnatWtnXyxxrFBxwfMsIuNwrBAZh2OF6NVw7BAZh3NfRMbh3FfRw2QBIqIcpKamYu/evahduzY6deoEtVqNvXv34o8//oCZmRm8vLxgYWFR2IdJVOgePXqE+Ph4fPbZZ7Czs0NCQgIOHz6MixcvwtHREc7Oztl9qngiSMXZv//+i3379sHPzw8tWrTA48ePsXv3buzYsQOOjo6oWLFidnk2ABwv9EbjeRaRcThWiIzDsUL0ajh2iIzDuS8i43Duq+hhsgARUQ6sra2xe/du2NnZISAgANWqVYOnpycePnyI33//HYcOHYKjoyPc3d0L+1CJClWJEiWwZs0aNG7cGB07dkStWrVw69YtxMfH4+jRo0hJSYGbm1v2qgSWZ6PiqkSJEoiMjIS7uzsCAgJQs2ZNODs74+rVq9ixYweOHTuGypUrw9HRESqViuXZ6I3G8ywi43CsEBmHY4Xo1XDsEBmHc19ExuHcV9HDZAEiolycOnUKJ0+eRNu2bWFjY4OKFSuievXqKFeuHC5cuIBt27bh3LlzqFChAhwcHAr7cIkKRWZmJvbu3Yv09HT4+vrCxcUFzZo1g6urK86ePYu//voLSUlJyMzMhIeHBywtLbPvxwsnKi7UajUA0bvt8uXL8PPzQ+nSpVGjRg1Ur14d1tbWSExMxJYtW3D79m3Url0b1tbWADhW6M3F8ywi43CsEBmHY4Xo1XDsEOWOc19EuePcV9HEZAEiolw4OzujUqVKqFSpUnaWW6lSpVCtWjVUrVoVdnZ2OHLkCLZu3YonT56gUqVKKFmyZGEfNlGBsrS0xO3bt1GpUiVUrVoV6enpMDMzQ8WKFdGyZUtYWFggKSkJf/31F5KTk2FjYwM3Nzf2dKNiRaVSQaVSwdraGpUqVYKXl1f254qjoyN8fHzg6emJjIwM7N27F1u2bIG5uTlq1qyZPT544URvGp5nERmHY4XIOBwrRK+GY4cod5z7Isod576KJpVaSvMgIiKjyU/unj9/jhMnTiA6OhqxsbEoVaoUevbsCX9/f5ibmxfykRIVnGfPnsHGxkZrW0ZGRvY4uHXrFtasWYMDBw7A0tISDRs2REBAALy8vArjcIkKjXxcSDIzM7NLrj158gQHDx7Erl27cOrUKZQrVw4DBgyAr69vYRwuUYHjeRaRcThWiIzDsUL0ajh2iPRx7ovIOJz7KlpYWYCI6BXIM0ItLS3h6uqKGjVqwMPDA3fv3kVkZCRiY2PRvHnz7JJTRG8ytVoNKysrve1mZmbIzMyEWq1GqVKl0LBhQ9SoUQPXrl3D4cOHkZCQgEePHsHb25u9qajYUHqtq1Sq7FJt1tbW8PLygre3N+zt7XHhwgVERkbi+PHj+H/27jy46fPA//hHki35vpBtzGEDPgiXgQAmMTcEQshVSiAkabrJJmm3SY/dTGdnf72WbLbZ2Z3ZHml6pJlNu+nkakobQrhMwOYy2NjEXOYKlwOYy2BsjA22pN8frGQcrgcFS7b0fs10GCyZPJry5vnq8aPnO2nSJBbjEPK4zgLM0ApghlYA/9AO0BFrX4A51r66FzYLAMAXeI+58f56oyOirnw8Ojpa/fv318CBA5WYmKiePXtq9OjRAR49EHg3O0bNe/yU98iptLQ0TZ06VU6nU5WVlXI6nRo7dmwARwwE1hfnlevxtuJtKj4+XkOGDFFeXp7a2tpoBSGB6yzADK0AZmgF8A/tALeGtS/gxlj76t64DQEAyOyeUVcek3OzP8PlckkSO+CAa7jyGKqWlhbffayAUGIyr9zsOVfOO21tbZKkiIiI2zdIIEC4zgLM0ApghlYA/9AOEDisfSEcsPYVOtgsAAC6fAF35swZrVq1SmfPntW5c+d0xx13KC0tTdnZ2UpPT5fUvkPuRhOcySQJdGcXL17U559/rvr6el28eFE9e/ZUdnZ2hzdCN+vA4/HI7XbLZrPRDELWuXPntGnTJp07d07nzp3TwIEDlZGRIafTqeTkZElm88rNFuyAro7rLMAMrQBmaAXwD+0A5lj7Asyw9hUa2CwAAJI++ugjLVu2TMeOHVNcXJxaWlp898/p1auXCgsLNWvWLCUlJUnquDsUCCcVFRVatGiRtm3b1uHrubm5Kiws1NChQ9WvXz/fPdx4M4RwVVRUpCVLlujQoUMd7smWkJCg3NxcFRQUaPz48YqLi5PEmyKENq6zADO0ApihFcA/tAOYYe0LMMPaV+hgswCAsFdeXq5f/vKXys7O1rx58zRgwACdOHFC58+fV3l5uZYuXaq2tjalp6drzpw5uvfee4M9ZCAotmzZotdee002m00zZ85UVlaWTp06pV27dungwYP6/PPP1atXL02cOFGFhYXKzMwM9pCBoNi8ebNeffVV9ezZU7Nnz9bAgQN17NgxnTx5UlVVVVq3bp08Ho+GDh2qBx98UHfddVewhwx0Gq6zADO0ApihFcA/tAOYYe0LMMPaV2hhswCAsPetb31LWVlZevLJJ9W7d++rHj937pzee+89LVu2TB6PR5MmTdIjjzzCxSDCzje+8Q317dtXjz32mHJycnxfv3Tpko4ePaqdO3dq5cqVOnTokEaMGKGHH35YI0eOlMViYecowso3vvEN9e/fX0888cQ154rDhw/rvffeU2lpqWJjYzVr1izNnDlTTqeTTyQg5HCdBZihFcAMrQD+oR3ADGtfgBnWvkKLbcGCBQuCPQgACJYNGzaotLRUs2fP1tChQyV1PDrK5XIpOjpao0eP1ujRo3Xw4EFt2bJFZ86c0R133KHY2FgmN4SFlStXqrKyUo8//riGDRsm6fLRUR6PRxEREUpOTtaAAQM0cuRIRUdHq6ysTFu2bFFaWpr69u1LIwgba9asUVlZmebOneubV7z3ZvNKSkrS+PHjlZeXp927d6usrEwul0vDhw/nmE+EFK6zADO0ApihFcA/tAOYYe0LMMPaV+hhswCAsLZjxw5t3bpVs2fPVnJy8lU7QK1Wq9xutySpR48emjFjhlpaWrR69WqdOnVKo0aNUmRkZLCGDwSEx+PR6tWrdfr0ac2ePdu3UGC1WjtcBFqtVsXHxys7O1u9evXSzp07tWLFCiUnJysnJ4fFBYSFLVu2aM+ePfrqV7+qhIQEXytX8r6B6tWrlwoKClRfX6+VK1eqoaFBI0aM4E0TQgbXWYAZWgHM0ArgH9oBbo61L8Aca1+hhzNRAIS9pqYm35ueax0V5b0odLlckqSHH35Yd999tzZu3KhNmzYFdKxAMHj//jc1NSktLc33teuJi4vTxIkT9dRTTykmJkaLFy9WfX09b5YQFtxutxobG5WQkCDp2q1cOdekpqbqkUceUW5urpYvX67q6uqAjRUIBK6zADO0ApihFcA/tAPcGGtfgDnWvkIPmwUAhLVBgwZJkhYtWqS2tja53W7fbuov8u52S0lJ0d///d8rOTlZK1eulMvluu73AKGiV69eamho0Pbt2yXphn/nvbuoCwsL9c1vflNHjhzR2rVrAzVUIKgGDhwot9utpUuXSrp8pKfH47nh92RlZek73/mO7Ha7ioqK5PF4mFcQErjOAszQCmCGVgD/0A5ghrUvwAxrX6GHzQIAwpbb7VavXr00fPhwrVmzRhUVFbJarR2OX7uW1tZWpaamKisrS42NjbLZbNfclQ2EkhEjRigqKkrvvPOOTp8+fcO/8xaLRR6PRy6XS6NHj1ZMTIz27dsXwNECweHxeNSvXz/1799fK1as0L59+2Sz2XxNXE9ra6uysrLUp08fnT59WhaLhXkF3R7XWYAZWgHM0ArgH9oBzLH2Bdwca1+hybZgwYIFwR4EAASDxWJRRESEcnJyVFVVpaVLlyoyMlI5OTmKiIiQ1H5vnSt5d1mvXbtWHo9HY8aMUVRUVMDHDwRSYmKiWltbVVJSotraWvXu3VvJycnXPV7Ne8EXGRmpVatWyel0qqCggItAhDSLxSKHw6H09HStXbtWa9asUXJysvr27eubO240r5SUlMhut6ugoEB2uz3g4wduJ66zADO0ApihFcA/tAOYY+0LuDnWvkITmwUAhL2EhAQlJSWpurpaZWVlqq2tVVJSktLS0nyTmsvlktVq9f168OBBrVq1Sn379tWUKVOC/AqAwBg0aJDOnTuntWvX6tixY0pKSlJycrLvvodS+zFs3l8/++wzlZaWql+/fho9enQQRw8ETnp6umJiYrRx40Zt375dzc3NSk5OVlJSkm9e8b5x8v568OBBrVmzRpmZmZowYUKQXwFw+3CdBZihFcAMrQD+oR3ADGtfgBnWvkILmwUAhD2LxaLMzEwVFBTo8OHDqqio0LZt21RXV+eb4Lw7Qq1WqxoaGrR06VJVVlbq+9//vhISEoL8CoDO53a7ZbPZdOedd8put6usrEwbNmxQc3OzEhISFBUVpcjISFksFt/Cwvnz51VcXKzy8nJ973vfoxWEBY/HI6vVqtzcXI0cOVJ79+5VaWmpDh06pJaWFsXHxys+Pt73xslisaixsVHLly9XRUWFXnzxRVpBSOE6CzBDK4AZWgH8QzvAzbH2BZhh7Sv0WDw3uokEAIQBj8fjm+AkacWKFfrzn/+s06dPKzY2ViNHjlRhYaGky8flLFu2TAcOHNCMGTP05JNPBnPoQFA0NTXp008/VVFRkbZv364ePXpo7NixysvL09ChQxUXF6fm5mZ98MEHWrt2rSZNmqRnn3022MMGAsZ770+r1aq6ujqtWLFCy5YtU0NDg/r166f8/HyNHz/et7iwaNEi7dixQ9OmTdNTTz0V3MEDtxnXWYAZWgHM0ArgH9oBbg1rX8CNsfYVWtgsAAD/p6WlxXf/tYsXL+rjjz/WypUrdfz4cV35T2VcXJweeeQRPfTQQ7577QDh6MiRI9q2bZs2bNig6upqud1uRUVFKSYmRmfOnJHVatWMGTP03HPP+e6FCISj1tZW1dbWauXKlVq+fLkuXbrU4XGHw6HZs2dr3rx5zCsIWVxnAWZoBTBDK4B/aAe4Nax9AWZY++re2CwAAJK2bt2q8vJyPfHEE4qOjvYdkdPS0qIdO3aopaVFJ06cUP/+/ZWZmSmn0xnkEQPBsXv3bp0+fVrjx4+XdPmehmfPntWpU6e0fv161dbWSpIyMjI0duxYDRo0qMN93YBwsXXrVu3Zs0ePPPKI79M7knThwgWVlpaqoaFBZ8+e1YABA5Sbm6s+ffoEcbRA5+I6CzBDK4AZWgH8QzuAGda+ADOsfYUOtjoBCHtut1u/+93vlJycLLfbLYvFIo/H49spOnr06A7PZ48VwpXL5dKvfvUr9erVS6NGjVJ0dLRsNpucTqecTqcGDRqkS5cuyW63y+Px+BYegHDjdrv129/+VklJSZo1a5bi4uIkXW4oJiZG99xzT5BHCAQO11mAGVoBzNAK4B/aAcyw9gWYYe0rtFhv/hQACG1Lly5VXV2dHn/8cd+kZrFYZLPZfG+OvPfg8T4GhKNly5bp5MmTeuihhxQdHd3hMbfbLY/HI7vdLolOEN6WLl2qs2fP6mtf+5pvXpHUYV5h8Q3hgusswAytAGZoBfAP7QBmWPsCzLD2FVrYLAAgrDU0NOjdd9/VtGnTlJOTc9Xj3ou+K4/RAcKRt5Xp06crNzf3qsetVitvkgC1tzJ16tQbziv0gnDAdRZghlaAjq78geWVaAXwD+0AZlj7Asyw9hV6uAIAENb+8Ic/yOFw6L777lNUVFSwhwN0WW+99ZYcDodmzpxJK8AN/PGPf2ReAf4P11lAuxt9qoZWgMvq6+slXf8HlrQC+Id2ADOsfQFmWPsKPWwWABB2vJ9SuHDhgg4cOKCZM2eqV69eQR4V0HWdPn1a5eXluv/++2kFuIHGxkbt2rVLs2bNohWEPa6zgMvq6+t19OjR636qhlaAy06dOqX//u//1qpVqyRdfboArQC3hrUv4Naw9gWYYe0rNFk83DQCQAi7cOGCTp486dvhlpKS4ruvlCQ1NzfLYrGwAw64gbq6Ou3atUv5+flKSEgI9nCAoPF4PDc8Qs3lcunEiRNKSkpSTExMAEcGBMfhw4d16NAhpaSkKCUlRb1795bb7fZ9IrSlpUWSuM5CWPvxj3+smJgYfec73+lwL88r0QpwuZVt27YpMzNTP/nJT5SamnrVc2gFuDbWvoAvj7Uv4DLWvsITmwUAhKS6ujpt3LhR77//vhobGyVJqamp6tu3r8aPH6+pU6f6nutyuWSz2YI1VABAN3PlD0OBcFRfX6/169frzTfflMvlkiTl5+frhRdeUM+ePYM8OqDr2Lx5s/793/9d3/3udzVlypRrzh3MKUB7Kw8++KA++eQT5eXl6fvf/74SEhJoBLgB1r4AAJ2Fa7DwYluwYMGCYA8CAG63X/ziF/rkk080fPhwzZw5UzNmzFBjY6MqKyu1ceNGlZaWyul0qnfv3rJarb57iN5o1xwQivbv3y+73d7hUwcArlZUVKTIyEglJibKYrEwbyCsvf7661q8eLFGjhypadOmKTc3V6WlpaqpqdGkSZN8jVz5KxCOFixYoMGDB+vBBx9UbGzsNXu48vfMLQhX//qv/6ohQ4Zo/vz5cjgcWrVqlVJSUjRw4EB6AG6AtS/ADGtfgBnWvsIXmwUAhJy//e1vKi4u1vz58/XMM88oLy9Pffr00fjx4zV06FBVVVXp+PHjWrdunY4eParc3FzFxsYy6SHsfPzxx/rlL38pSYqJiVF8fDyfNACuYeXKlfr1r3+tY8eO6eLFi0pLS1NUVJQsFovcbjfzB8LKkiVLtGLFCk2ePFkvvviiBg8erJycHJ05c0b79u3TjBkzFBkZ6euCPhCuFi5cqIqKCj399NPKzs6W1PFIz9raWm3btk1HjhzRsWPHFBcXp+joaDbZIOwsXLhQlZWVeuqpp5SXl6dhw4bpwIEDWrFihTIzM9WnTx+5XC4+2QZ8AWtfgBnWvgAzrH2FNzYLAAgpLS0t+q//+i9NmDBBDz30kBwOh9xut29CS0tL04ULF3TixAn1799fFRUV2rdvn/r06SOn08kiBMLKmjVrtHPnTu3evVvbtm2T1WpVQkJChwUEFqsB6dChQyorK9OZM2dUVlam48ePy+FwqGfPnr5FBt44IRw0Nzfr3/7t3zRu3DjNmzdPMTExam1tVVRUlBITE7V8+XJ99atf1WeffaaioiKVl5fr4sWLstlsio+PZ05B2Lhw4YJefvllzZgxQ1OmTJHdbldbW5tsNpsuXLigjz76SL/4xS9UUlKiDRs2qLS0VLt27VJERIT69u3L+xGEjWu1Il2+3/qGDRtUW1urcePGyeFwBHmkQNfC2hdgjrUvwAxrX+GNzQIAQkpxcbF27NihWbNmKScnR9LlT7R53wRZLBa1tLRo7969eumll9Ta2qoNGzaosbFRY8eOVWRkZDCHDwTUqVOntHfvXn37299WTU2NVqxYoZqaGkVFRSkhIcG3exQId+fOndP27dv10ksvyWKxqKSkRJWVlTp79qwSEhLUo0cPFhkQFt59913V1tZq3rx56t+/vyT5Fg22bNmi2tpaHT9+XK+//rp27NihAwcOaN26daqtrVVubq4SEhKCOXwgYH7961/r3Llz+trXvqaMjAxJ8r0fee2117R06VINGzZMjz32mB588EFFRUVp27ZtqqqqUmJiogYMGBDM4QMB89prr6mhoUFPPvmkrxVJSktLU2pqqhYvXqzTp09rxIgRioyM5DoL+D+sfQHmWPsCzLD2Fd7YLAAgpOzcuVNbtmzR448/rri4uA673bxH5tTU1GjdunWaNGmSJkyYIJfLpaKiIjU2NmrMmDFBfgVA4LhcLi1ZskTz5s3T/fffL6fTqcrKSq1evVpnz55VXFyc4uPjWUhA2HM4HHr33Xc1YcIEPfDAAyosLNSBAwe0YcMG7dixQy0tLerRo4fi4uK4pxtC1rlz5/SXv/xF/fv31/Tp02W3233XWa2traqsrNT69etVV1enp59+Wl//+tdVUFCgpKQklZSUaMeOHRo9erRiY2OD/VKATnX48GH99re/1SOPPKIJEyZIktra2mS1WrV+/Xq98847evTRR/XMM88oOztbaWlpGjVqlO666y5t375dGzZsUH5+vlJSUoL8SoDOdfDgQf3ud7/TvHnzVFBQcNWR0KmpqaqtrdWmTZuUlZWlzMxMrq2A/8PaF2COtS/ADGtf4Y3NAgBCyrZt27Rlyxbdd999SkhIuGqyslgsKioq0tGjR/XEE09Iknr27Knq6mrt2bNHU6dOVVRUVDCGDgRcc3OzVqxYoSFDhignJ0cDBgzQmDFjZLVaVVJSovLycrW2tiohIUHx8fG+TymwexThpq2tTatXr5bD4VB+fr6Sk5M1bdo0ZWVlqaKiQps2bdLBgwd9R37a7Xbu6YaQc/ToUX388ccaM2aMRo4cKY/H45sXmpub9dZbbykhIUHPPPOMJk6cqMTERPXs2VNZWVlqaWlRRUWF8vLylJWVFeRXAnSu5cuXa8eOHTp//rz69u2r1NRUXysvv/yy7rzzTs2dO9f3wx2PxyOPx6PExEQNHjxYK1askNVq1Z133hnkVwJ0rgULFsjpdGru3LlKSkq66nG73a4hQ4aovLxc69at05AhQ+R0Orm+AsTaF3ArWPsCzLD2Fd7YLAAgpHg8Hq1evVoxMTEaPny4JPnuxebxePT555/rd7/7nR566CENGTJELpfLdw/dDRs2qKCgQGlpaUF+FUBg2O12lZSUaPDgwRowYICsVqvi4+M1dOhQDR8+XKdPn9aKFSu0a9cu2Ww2JSYmdrinGxAuHA6HDh486GvF+wnRvn376uGHH5bNZlNJSYnKysp08uRJRUdHq2fPnr5FBt44IRRcuHBB+/bt02OPPabY2NgOi2dr165VcXGxnn76ad+nQ73XX9HR0crOztby5csVGxurUaNG0QNCWlxcnFJTU7Vnzx59+OGHOnr0qPLz87V582atX79ezz77rDIzMyVd/mGO93+SFBsbq507d+rgwYOaMWMG95NGyDpy5Iiqqqp0//33a+jQodecFzwej6KjoxUfH+87Pv3uu+++6gQCIByx9gWYY+0LMMPaV3hjswCAkJKYmKhdu3Zp48aNstvtys7O9t23bc+ePXrzzTcVERGhp556SrGxsb7JrKmpScXFxerfv78GDhwY5FcBBEZkZKQmT56s3NzcDovRNptNTqdTI0eOVE5Ojvbu3ev7VIJ3wc7hcARx5EDg3Xnnnb77gXp78S7IDRkyRPfdd5/q6uq0du1abdmyRefOnVNSUpKSk5N5s4SQkJCQoIkTJyo+Pl5S+1GDLpdLCxYs0PDhw/WVr3xF0dHRkto7aW1tVUxMjJYsWSKn06m77747OC8ACJCkpCTl5eUpJydHDodDGzdu1KJFi1RdXa3x48dr3Lhx17yOcrlcstlsKisr08WLFzVz5kw+0YaQFRsbqyFDhigvL08RERHX/Lvu/b33hJqVK1eqra1Nw4cPpw2EPda+AHOsfQHmWPsKX2wWABBSIiIi5HQ6tXfvXpWUlKi0tFT79u1TUVGRFi5cqPr6ev2///f/1LdvX0ntk9358+e1cuVKTZ8+3fcYEOrcbreioqKu+6k1u92uvn37atSoUUpJSVFZWZnWrvyXAVQAACAASURBVF3ruxDs0aNHgEcMBIfb7b7m/Qu9n9xxu92Kjo7W3XffrVGjRmnPnj0qLS3Vzp071dbWppycHD4dim7P7XYrIiLiqq9brVZlZWWpsLBQTqezw2Mej0c2m01nz57VkiVLlJ+fr/z8/EANGQgK79/71NRU3XHHHRowYICam5vV1NSk4cOHX7cBq9WqpqYmLVu2TE6nU6NHj+beuQhZ3k91eueV6y0uezcFZGZmas+ePaqsrNQdd9yh9PT0QA4X6HJY+wLMsfYFmGHtK7yxWQBAyOnZs6dyc3Pldrt14sQJ7du3TydOnFBhYaG+9rWvafDgwb5jcbwT2Nq1a3Xw4EFNmDBBGRkZQX4FQGCY7viMiYlRbm6uRo0aJbfbrWXLlikpKYkf+CBs3KgV71zive+00+nUjBkzlJGRoaKiIvXs2VNjxowJ4GiBznGjDnr16qWEhITrfs+nn36qrVu3atSoUcrNze20MQJdgfe+ndLlozz79OmjvLw85eXl6c4775TD4bjuEZ179+5VcXGx7rzzTo0YMSLQQwe6HG8n0dHR6t27t4qLi1VdXa2RI0f6jlTnU2wIV6x9AWZY+wLMsPYV3iwej8cT7EEAQGepqamRzWbTpUuX1L9/f9/Xvf/0WSwWnTt3Tm+++aY+++wz/exnP+OIKeAGLl26pEOHDqlfv36y2+3BHg4QMKaL0d5jpL3a2tqu+WlsoDsz6cH7nPPnz+uPf/yjysrK9MYbbygqKipAowSC74tzwrV4Wzl37pzefvttrV27Vm+++aZiYmICNEog+EyvsxYuXKi33npLs2bN0je/+c0AjAzoHlj7Am4v1r4Qrlj7Cl/8vwegW2tpadHx48d16tQpSZfv25aXl+d7PDMzs8PzvRPelZPerl27tGnTJj3++OO8WULIul2furHb7R0aA0LN9eYV0368b5a8b5xu9kMioCv7Mj14n1NVVaW1a9fq0UcfZaMAQtb1WjGZA7ytbNy4UcXFxZo/fz4bBRCy/J1XvO9lHnroIe3bt09Lly7VuHHjNHTo0EAMGwg61r4AM6x9AWZY+8IXsVkAQLe1efNmLVy4ULt27erw9ezsbE2fPl3Dhg1Tenp6h3vteCc8t9stq9WqHTt2aNmyZerRo4cefvjhgI4fCCTvkbjcOwq4Pn/mlevxvlHiaFx0V1+mB++CQWVlpRYtWqT09HTNmTMnUEMHAup2zB3Lli3TBx98oOzsbFpByPoyrXivpyIjI/Xwww+rubmZjQIIG6x9AeZY+wJujrUvXIttwYIFC4I9CAC4VaWlpfr973+v1tZWzZs3T/fcc4+GDx8ui8WiEydOaO3ataqurpbH41FycrJiY2M7fL/FYpHL5dLvf/977d+/X9/73veUnp4epFcDdJ6qqiqVlZWpX79+vos8l8vFGyfgC77svAKEki/bg9VqVV1dnX7605/K5XLphRdeUFpaWpBeDdB5bsfc0dzcrHfeeUe9evXS008/raSkpCC8EqBz3c7rrNTUVE2cOJH3MwgLrH0BZlj7Asyw9oXrsXi8Ny8CgG7kqaee0sCBAzV//vwO92NzuVzat2+ftm3bpnXr1unzzz9XQUGBHn30UWVnZ0tShx2mTU1NOnDggIYNGxaU1wF0tueee051dXUaPny47r33Xt11112+x9htDbS7XfMKEApuRw/V1dUqLi7W2LFjNXr06GC9FKBT3a65w+VyqbGxkY0CCFlcZwH+Ye0LMMPaF2CGazJcDycLAOh2Fi1apD179uiJJ57QoEGDJF2+J5Xb7ZbNZpPT6VRubq7y8vIUERGhTZs2qbS0VL1791bv3r07HMfmcDjYVY2Q5G2itLRUDQ0Nqq+vV3l5uY4ePSqn06mUlBTf8WwSx0UhvN2ueQUIBberh9TUVI0cOZJGELJuVyve23ZERUUF8+UAnYbrLMA/rH0BN8faF2COazLcCJsFAHQrLpdLK1eu1Pnz5zVnzhxFRUXJ4/HIYrF02NnmneBycnKUnJysTz/9VMXFxcrIyFC/fv3k8XjYCYeQ5m2isrJS/fv315NPPqna2lpt3rxZn376qRobG9WrVy/Fxsb63jhx0YdwdDvnFRpCd3e7enC5XLJYLLLZbHSBkMR7EsAM11mAf5hnADOsfQFmuCbDzXC1AKDb8Hg8stlsamtrU3NzsxITE32L0deTlJSkBx54QC+88IKioqL00UcfqampiUkNIc/lckmSMjIytG3bNuXn5+vll1/WCy+8oMjISP3lL3/Rf/zHf6ioqEitra2+C0PvbmsgHDCvAO1uZw9sEkAoY+4AzNAK4B/aAcyx9gXcHPMKTHCyAIBuwzsZ7d+/X5s3b9a4ceOUnJx8w+/x7nbLzMxURESEVq9erczMTPXr1y8AIwaCx/sGqK6uTmvWrNHo0aOVkpKiAQMGaNq0aZKkrVu3qqKiQp999pni4+OVkZHR4ahCLgAR6phXgHb0AJihFcAMrQD+oR3AHGtfwM0xr8AEmwUAdDuxsbFavXq1ampqNGTIEMXFxV33uRaLxTe5paena/HixUpISNCYMWMCOGIgeOx2u1paWnTPPffIZrPJ5XLJbrcrPz9fY8eO1dmzZ1VRUaGKigodP35c6enpSkxM5Hg2hBXmFaAdPQBmaAUwQyuAf2gHMMfaF3BzzCu4ETYLAOh2EhISdObMGZWWlqq5uVmZmZmKj4+/4fd4L/pWr16tPn36aNSoUVwIIiwkJCRo+PDhcjgcvvsVut1ueTweJSYmqrCwULm5uaqpqdHmzZtVVVWlCxcuqG/fvoqKigr28IGAYF4B2tEDYIZWADO0AviHdgBzrH0BN8e8ghthswCAbsdqtWrUqFGqq6vTqlWrVFtbq169eqlHjx4dnufd/eadwPbt26dNmzYpLy9Pw4cPD8bQgaCIiIiQ1H6B5+3C5XLJarUqIyND99xzj+Lj47Vr1y5VVlaqvLxc/fv3l9PpDObQgYBgXgHa0QNghlYAM7QC+Id2gFvD2hdwY8wruBE2CwDodlwul2w2m/Ly8iRJGzduVHFxsS5duqT09HTZ7XbZbDZZLBa1tbXJarWqoaFBq1at0tatW/Xiiy8qJiYmyK8CCD7vvd28b5xyc3M1ZcoUNTc3a9++fZozZ46io6ODPEqg8zGvAO3oATBDK4AZWgH8QzvA7cHaF3AZ8wpuhM0CALod70VedHS0srOz5XQ6derUKa1bt06bNm1SU1OTmpubZbfbFR8fr9OnT+vdd99VSUmJHnroIY0dOzbIrwAIDu/O0C+yWq3yeDxyu92KiorSnXfeqSlTpigpKSkIowQCj3kFaEcPgBlaAczQCuAf2gH8w9oXcG3MK7gRi8fj8QR7EABwq7544VdTU6NNmzapvLxcBw4ckMfjkd1uV2xsrM6cOSOHw6F77rlHzz33XBBHDXR9bre7w1FTQLhgXgHa0QNghlYAM7QC+Id2gM7B2hfCFfMKrofNAgC6rerqatXV1WnChAm+rx05ckQnTpzQli1btH//fsXFxSkpKUmTJk1SXl6eHA5HEEcMBEd1dbXOnj2rcePGBXsoQJfGvAK0owfADK0AZmgF8A/tAGZY+wLMMK/gWtgsAKBbunTpkr773e8qPz9fzz77rCIjI6/aDdra2qrIyMggjRDoGq5s5bnnnqMJ4DqYV4B29ACYoRXADK0A/qEdwAxrX4AZ5hVcjzXYAwAAf3z44Yc6e/aspk6dKrvdftWk5na7FRkZKfZDIdxd2QoXesD1Ma8A7egBMEMrgBlaAfxDO4AZ1r4AM8wruB42CwDodk6fPq2FCxfq/vvv14ABA675HKv18j9v3HsK4cykFQDMK8CV6AEwQyuAGVoB/EM7gBnWvgAzzCu4ETYLAOiy3G73Nb/+v//7v0pMTNS0adNkt9sDPCqg66EVwMz1dkbTCsIRPQBmaAUwQyuAf2gHMEMrwJdDK7gRNgsA6FKOHTumVatWSWrfyXalI0eOaMuWLZo9e7Z69uwZ6OEBXQatALfOYrFctcBAKwhX9ACYoRXADK0A/qEdwAytADfnbcTtdnfohVZwM7YFCxYsCPYgAMDrpZde0rJly9TY2Khhw4bJarV2OPbm4sWL6t27twoLCxUVFRXEkQLBRSuAuZMnT2rv3r1qa2tTYmKipMtvnCwWC60g7NADYIZWADO0AviHdgAztAKY83YRGRnZYZ24paWFVnBDFs/1zm8BgAArKSnRz3/+c2VmZqq2tlY/+clPlJ+fH+xhAV0OrQBm6urqVFpaqj/84Q9yuVySpKlTp+r5559XZGRkkEcHBBY9AGZoBTBDK4B/aAcwQyuAmQsXLmj37t1auXKlGhoa5HK51KdPH02YMEEZGRlKTU31bRzweDwdNhEAXpwsAKDL+MlPfqJx48bpqaeeUnV1tdavX68hQ4YoJSXFt2OUCQ2gFcDUq6++qmXLlql///4aNWqU7Ha7Nm/eLEm+DTZfbIV2EKroATBDK4AZWgH8QzuAGVoBzLzxxht6++231dTUpPj4eFmtVu3evVtFRUWqqalRc3OzYmNjFR8fTx+4LjYLAOgS/vSnP2nPnj16/PHHNWjQIEVFRWn16tVqa2vT2LFjfRMZExrCHa0AZt577z2tXr1a9957r/75n/9ZY8eOVUFBgY4fP65du3Zp8uTJslqtslqtHb7PYrH4Nt0AoYIeADO0ApihFcA/tAOYoRXAzPvvv69Vq1Zp+vTp+sEPfqB77rlHhYWFGjZsmNxut0pLS7Vv3z6dPHlScXFxcjqdslqtbKzBVaw3fwoAdK6zZ89q4cKFmjlzpgYOHChJmjJliubOnatVq1bpz3/+s1wul9xud5BHCgQXrQBmGhoa9OGHH2rGjBmaO3eurFarWltblZiYqLlz5+rMmTNqbm6WzWbT8ePHtXLlSi1atEjLly/X+fPnr1pwALozegDM0ApghlYA/9AOYIZWADPnzp3TBx98oKlTp2rOnDmKjIxUa2uroqKiNHDgQH31q19V7969FR0drYqKCv36179WZWWlJD5khqtFBHsAAPDb3/5WGRkZmjBhgmJiYuRyuWSz2TRt2jSVlZVp8eLFGjt2rLKysoI9VCCoaAUwU1RUpKSkJBUUFCgxMVGSFBkZKbfbrT59+mjAgAHau3evWlpa9Oabb+rSpUtqaWmRJG3cuFHPPPOMMjMz2WmNkEAPgBlaAczQCuAf2gHM0Apg5uOPP1ZycrLuuuuuDq1Il2/J0bt3bxUUFOjIkSO699579cc//lGvvPKKnn/+ed17773BHDq6ILZZAQiq6upqlZWV6cEHH1RmZqYkyWazSZIyMjL04osvymKx6Oc//7lqa2sliU9NIyzRCmDG5XLp5MmTamtr853A4eX9RMKJEyf03nvvaffu3XrmmWf06quv6o033lBhYaGqqqq0cuVKSey0RvdHD4AZWgHM0ArgH9oBzNAKYObSpUs6efKkHA6HcnNzr3r8ytvUut1uDRo0SE888YTi4uL0/vvvq6amJtBDRhfHyQIAgur1119Xfn6+Ro0apYiIjv8kud1u9e3bV9OnT9df/vIXrVmzRvPnz+c4KYQlWgHM2Gw21dfXy2q1yuFwqLW11deMxWLRpUuXNGLECKWnp2vOnDkdvvc73/mOjhw5ojVr1uj+++9Xz549g/ESgNuGHgAztAKYoRXAP7QDmKEVwIz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(8785697277079)>"]},"metadata":{},"execution_count":42}],"source":["(ggplot(petition_votes)\n"," + aes(x='start', y='votes')\n"," + geom_point()\n"," + geom_line(color='blue')\n"," + labs(x='날짜', y='투표 수', title='일별 투표 수')\n"," + theme(text=element_text(family=font_family),\n","        figure_size=(12,6),\n","        axis_text_x=element_text(rotation=60))\n",")"]},{"cell_type":"markdown","source":["2018년 10월 17일이 투표가 가장 많았기 때문에 일별 투표 수에서도 가장 높게 나타남"],"metadata":{"id":"PaDSH_zH3PAu"}},{"cell_type":"code","execution_count":43,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":81},"id":"OVYkmDBtTe-v","outputId":"10e3e605-06a4-4b71-f167-d36f9687c596","executionInfo":{"status":"ok","timestamp":1672558829708,"user_tz":-540,"elapsed":8,"user":{"displayName":"송영숙","userId":"01138230862948206591"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["         start    votes\n","424 2018-10-17  1300523"],"text/html":["\n","  <div 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