job_recommender.ipynb

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        "<a href=\"https://colab.research.google.com/github/mrtejas99/jobrecommender/blob/main/job_recommender.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "metadata": {
        "id": "zYgCox2LaSro"
      },
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import math\n",
        "%matplotlib inline\n",
        "import re"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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        "colab": {
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              "   Company Name                                    Job Title  \\\n",
              "0     Infochola                               Data Analytics   \n",
              "1   WiseFinServ                                Web Developer   \n",
              "2         Hydro  Junior Technical Specialist EPiServer, Apps   \n",
              "3       CGI Inc              PLM DEVELOPER AND PTC WINDCHILL   \n",
              "4  SLK Software                          Engineer - Software   \n",
              "\n",
              "               Location                                    Job Description  \\\n",
              "0                 India  Develop R Programming, Python programming as p...   \n",
              "1  Noida, Uttar Pradesh  Good exp. in website designing & development, ...   \n",
              "2     Jaipur, Rajasthan  Technical Knowledge - NET programming/Episerve...   \n",
              "3  Bengaluru, Karnataka  2 The desired profile should have worked on PT...   \n",
              "4  Bengaluru, Karnataka  BASIC INFORMATION ON THE POSITION.\\nTo develop...   \n",
              "\n",
              "                         Salary  \\\n",
              "0                 Not Available   \n",
              "1  ₹3,00,000 - ₹4,20,000 a year   \n",
              "2                 Not Available   \n",
              "3                 Not Available   \n",
              "4                 Not Available   \n",
              "\n",
              "                                                Link  \n",
              "0  https://in.indeed.com/rc/clk?jk=23cf8e3399d4f4...  \n",
              "1               https://in.indeed.com/Infochola-jobs  \n",
              "2                https://in.indeed.com/jobs-in-India  \n",
              "3  https://in.indeed.com/rc/clk?jk=e1802f475beb26...  \n",
              "4             https://in.indeed.com/Wisefinserv-jobs  "
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              "      <th>Company Name</th>\n",
              "      <th>Job Title</th>\n",
              "      <th>Location</th>\n",
              "      <th>Job Description</th>\n",
              "      <th>Salary</th>\n",
              "      <th>Link</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Infochola</td>\n",
              "      <td>Data Analytics</td>\n",
              "      <td>India</td>\n",
              "      <td>Develop R Programming, Python programming as p...</td>\n",
              "      <td>Not Available</td>\n",
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              "      <th>1</th>\n",
              "      <td>WiseFinServ</td>\n",
              "      <td>Web Developer</td>\n",
              "      <td>Noida, Uttar Pradesh</td>\n",
              "      <td>Good exp. in website designing &amp; development, ...</td>\n",
              "      <td>₹3,00,000 - ₹4,20,000 a year</td>\n",
              "      <td>https://in.indeed.com/Infochola-jobs</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Hydro</td>\n",
              "      <td>Junior Technical Specialist EPiServer, Apps</td>\n",
              "      <td>Jaipur, Rajasthan</td>\n",
              "      <td>Technical Knowledge - NET programming/Episerve...</td>\n",
              "      <td>Not Available</td>\n",
              "      <td>https://in.indeed.com/jobs-in-India</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CGI Inc</td>\n",
              "      <td>PLM DEVELOPER AND PTC WINDCHILL</td>\n",
              "      <td>Bengaluru, Karnataka</td>\n",
              "      <td>2 The desired profile should have worked on PT...</td>\n",
              "      <td>Not Available</td>\n",
              "      <td>https://in.indeed.com/rc/clk?jk=e1802f475beb26...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>SLK Software</td>\n",
              "      <td>Engineer - Software</td>\n",
              "      <td>Bengaluru, Karnataka</td>\n",
              "      <td>BASIC INFORMATION ON THE POSITION.\\nTo develop...</td>\n",
              "      <td>Not Available</td>\n",
              "      <td>https://in.indeed.com/Wisefinserv-jobs</td>\n",
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          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "!wget -q -nc https://github.com/mrtejas99/mrtejas99.github.io/raw/main/Indeed_Scraper4.csv -O  Indeed_Scraper4.csv\n",
        "dataset= pd.read_csv(\"/content/Indeed_Scraper4.csv\")\n",
        "dataset.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Data cleaning"
      ],
      "metadata": {
        "id": "HuvcMm_Anne4"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mZt1pCTghPaf"
      },
      "outputs": [],
      "source": [
        "#Replace 'Not Available' with NaN\n",
        "new_cols = dataset['Salary'].replace('Not Available',np.nan)\n",
        "#Only use monthly salary, index is reserved\n",
        "new_cols = new_cols[new_cols.str.contains(\"a month\", na=False)].str.replace('a month', '')\n",
        "#Remove special symbols like comma and Rupees symbol\n",
        "new_cols = new_cols.str.replace(',','').str.replace('\\u20B9','')\n",
        "#Split salary range into min and max columns\n",
        "new_cols = new_cols.str.split('-', n=2, expand=True).rename(columns={0: 'min_salary', 1: 'max_salary'})\n",
        "#Replace 'None' columns generated by above function with NaN\n",
        "new_cols = new_cols.fillna(value=np.nan)\n",
        "#If only minimum salary is given, copy it to max salary as well\n",
        "new_cols['max_salary'] = new_cols['max_salary'].fillna(new_cols['min_salary'])\n",
        "new_cols = new_cols.astype(float)\n",
        "\n",
        "#new_cols.head()\n",
        "df_new = pd.concat([dataset.drop('Salary', axis=1), new_cols], axis=1)"
      ]
    },
    {
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          "data": {
            "text/plain": [
              "                                           Company Name  \\\n",
              "151                                         Intelous IO   \n",
              "152                        Calmove Technologies Pvt Ltd   \n",
              "153                     Gems Digital Media Private LTD.   \n",
              "154                               Fraxinus IT Solutions   \n",
              "160                                        M/S OTECHNIX   \n",
              "...                                                 ...   \n",
              "1060                                             Yennes   \n",
              "1061                 Unijob Solution & Training Pvt Ltd   \n",
              "1062                                            Seahawk   \n",
              "1063  Backstage Pass Institute of Gaming and Technology   \n",
              "1065   Angelstar Enterprises Software Solutions PVT LTD   \n",
              "\n",
              "                                     Job Title                      Location  \\\n",
              "151                          Prepress Operator          Bengaluru, Karnataka   \n",
              "152                             HTML Developer    Thiruvananthapuram, Kerala   \n",
              "153                             HTML Developer            Ahmedabad, Gujarat   \n",
              "154                             HTML Developer                Surat, Gujarat   \n",
              "160   Computer trainer in programming language               Guwahati, Assam   \n",
              "...                                        ...                           ...   \n",
              "1060                             TDL DEVELOPER           Madurai, Tamil Nadu   \n",
              "1061                         Software Engineer             Pune, Maharashtra   \n",
              "1062                       WordPress Developer  Remote in Ahmedabad, Gujarat   \n",
              "1063                  Computer Science Faculty          Hyderabad, Telangana   \n",
              "1065                      Junior PHP Developer         Changanacheri, Kerala   \n",
              "\n",
              "                                        Job Description  \\\n",
              "151   Die, Foil, Emboss File Prepration.\\nDigital Pr...   \n",
              "152   Fair understanding of JavaScript programming a...   \n",
              "153   Developing skills and expertise in appropriate...   \n",
              "154   Fair understanding of JavaScript programming a...   \n",
              "160   \\*Urgently required contract basis software pr...   \n",
              "...                                                 ...   \n",
              "1060  Good Knowledge in Tally/Accounting.\\nExperienc...   \n",
              "1061  \\* *Strong communication skills, knowledge & p...   \n",
              "1062  We are seeking for a WordPress Developer with ...   \n",
              "1063  In this role, you will be responsible for cond...   \n",
              "1065  Understanding of object-oriented PHP programmi...   \n",
              "\n",
              "                                                   Link  min_salary  \\\n",
              "151                   https://in.indeed.com/cmp/Chase-2     20000.0   \n",
              "152           https://in.indeed.com/cmp/Chase-2/reviews      8919.0   \n",
              "153   https://in.indeed.com/JPMorgan-Chase-Bank,-N.a...     35000.0   \n",
              "154   https://in.indeed.com/jobs-in-Bengaluru,-Karna...      9321.0   \n",
              "160   https://in.indeed.com/rc/clk?cmp=M%2FS-OTECHNI...      8129.0   \n",
              "...                                                 ...         ...   \n",
              "1060  https://in.indeed.com/jobs-in-BTM-Layout-1,-Be...     20000.0   \n",
              "1061  https://in.indeed.com/career/web-developer/sal...     25000.0   \n",
              "1062  https://in.indeed.com/company/Medyug-Technolog...     30000.0   \n",
              "1063  https://in.indeed.com/Medyug-Technology-Pvt-Lt...     40000.0   \n",
              "1065  https://in.indeed.com/career/full-stack-develo...      6000.0   \n",
              "\n",
              "      max_salary                                  Skills  \n",
              "151      20000.0                                          \n",
              "152      29787.0                             JavaScript,  \n",
              "153      35000.0                 HTML,Javascript,jQuery,  \n",
              "154      31576.0                             JavaScript,  \n",
              "160      25859.0                                       ,  \n",
              "...          ...                                     ...  \n",
              "1060     25000.0                                    C,C,  \n",
              "1061     30000.0  ,Java,Javascript,HTML,SQL,CSS,C,C,SQL,  \n",
              "1062     30000.0                    WordPress,PHP,HTML5,  \n",
              "1063     60000.0                                     be,  \n",
              "1065      9000.0                             PHP,PHP,be,  \n",
              "\n",
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              "      <th>151</th>\n",
              "      <td>Intelous IO</td>\n",
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              "      <td>Bengaluru, Karnataka</td>\n",
              "      <td>Die, Foil, Emboss File Prepration.\\nDigital Pr...</td>\n",
              "      <td>https://in.indeed.com/cmp/Chase-2</td>\n",
              "      <td>20000.0</td>\n",
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              "      <th>152</th>\n",
              "      <td>Calmove Technologies Pvt Ltd</td>\n",
              "      <td>HTML Developer</td>\n",
              "      <td>Thiruvananthapuram, Kerala</td>\n",
              "      <td>Fair understanding of JavaScript programming a...</td>\n",
              "      <td>https://in.indeed.com/cmp/Chase-2/reviews</td>\n",
              "      <td>8919.0</td>\n",
              "      <td>29787.0</td>\n",
              "      <td>JavaScript,</td>\n",
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              "      <th>153</th>\n",
              "      <td>Gems Digital Media Private LTD.</td>\n",
              "      <td>HTML Developer</td>\n",
              "      <td>Ahmedabad, Gujarat</td>\n",
              "      <td>Developing skills and expertise in appropriate...</td>\n",
              "      <td>https://in.indeed.com/JPMorgan-Chase-Bank,-N.a...</td>\n",
              "      <td>35000.0</td>\n",
              "      <td>35000.0</td>\n",
              "      <td>HTML,Javascript,jQuery,</td>\n",
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              "      <th>154</th>\n",
              "      <td>Fraxinus IT Solutions</td>\n",
              "      <td>HTML Developer</td>\n",
              "      <td>Surat, Gujarat</td>\n",
              "      <td>Fair understanding of JavaScript programming a...</td>\n",
              "      <td>https://in.indeed.com/jobs-in-Bengaluru,-Karna...</td>\n",
              "      <td>9321.0</td>\n",
              "      <td>31576.0</td>\n",
              "      <td>JavaScript,</td>\n",
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              "      <th>160</th>\n",
              "      <td>M/S OTECHNIX</td>\n",
              "      <td>Computer trainer in programming language</td>\n",
              "      <td>Guwahati, Assam</td>\n",
              "      <td>\\*Urgently required contract basis software pr...</td>\n",
              "      <td>https://in.indeed.com/rc/clk?cmp=M%2FS-OTECHNI...</td>\n",
              "      <td>8129.0</td>\n",
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              "      <th>1060</th>\n",
              "      <td>Yennes</td>\n",
              "      <td>TDL DEVELOPER</td>\n",
              "      <td>Madurai, Tamil Nadu</td>\n",
              "      <td>Good Knowledge in Tally/Accounting.\\nExperienc...</td>\n",
              "      <td>https://in.indeed.com/jobs-in-BTM-Layout-1,-Be...</td>\n",
              "      <td>20000.0</td>\n",
              "      <td>25000.0</td>\n",
              "      <td>C,C,</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1061</th>\n",
              "      <td>Unijob Solution &amp; Training Pvt Ltd</td>\n",
              "      <td>Software Engineer</td>\n",
              "      <td>Pune, Maharashtra</td>\n",
              "      <td>\\* *Strong communication skills, knowledge &amp; p...</td>\n",
              "      <td>https://in.indeed.com/career/web-developer/sal...</td>\n",
              "      <td>25000.0</td>\n",
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              "      <th>1062</th>\n",
              "      <td>Seahawk</td>\n",
              "      <td>WordPress Developer</td>\n",
              "      <td>Remote in Ahmedabad, Gujarat</td>\n",
              "      <td>We are seeking for a WordPress Developer with ...</td>\n",
              "      <td>https://in.indeed.com/company/Medyug-Technolog...</td>\n",
              "      <td>30000.0</td>\n",
              "      <td>30000.0</td>\n",
              "      <td>WordPress,PHP,HTML5,</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1063</th>\n",
              "      <td>Backstage Pass Institute of Gaming and Technology</td>\n",
              "      <td>Computer Science Faculty</td>\n",
              "      <td>Hyderabad, Telangana</td>\n",
              "      <td>In this role, you will be responsible for cond...</td>\n",
              "      <td>https://in.indeed.com/Medyug-Technology-Pvt-Lt...</td>\n",
              "      <td>40000.0</td>\n",
              "      <td>60000.0</td>\n",
              "      <td>be,</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1065</th>\n",
              "      <td>Angelstar Enterprises Software Solutions PVT LTD</td>\n",
              "      <td>Junior PHP Developer</td>\n",
              "      <td>Changanacheri, Kerala</td>\n",
              "      <td>Understanding of object-oriented PHP programmi...</td>\n",
              "      <td>https://in.indeed.com/career/full-stack-develo...</td>\n",
              "      <td>6000.0</td>\n",
              "      <td>9000.0</td>\n",
              "      <td>PHP,PHP,be,</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>126 rows × 8 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f1fa058f-e33c-4afb-b9c5-09c2ee226628')\"\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-f1fa058f-e33c-4afb-b9c5-09c2ee226628 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-f1fa058f-e33c-4afb-b9c5-09c2ee226628');\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": 4
        }
      ],
      "source": [
        "skills=['react','firebase','mongodb','jsp','flask','matlab','jboss','ci/cd','jms','hibernet','sas',\n",
        "        'R','Hana','Java EE','Episerver','engineering','mca','cypress','perl','spring','vb','codeigniter',\n",
        "        'magneto','rdbms','testing','nosql','mvc','xml','vb script','fbd','springboot','foxpro','net',\n",
        "        'rest apis','rest api','vb.net','stl','','selenium','engineer','wcm','laravel','api','sap','pl/sql',\n",
        "        'Bash','seo','analytics','codeigniter','wordpress','Golang','jquery','spark','apache','BE','Bsc','mba',\n",
        "        'django','c','python','HTML5','html','Java','c++','C#','R','Go','css','Javascript','swift','Php','shell',\n",
        "        'kotlin','perl','SQL','typescript','Lua','SQL','Android','powershell','.net','Visual Basic .NET','aws','asp','asp.net','typing']\n",
        "skills = [x.lower() for x in skills]\n",
        "skill_list = []\n",
        "for index, row in df_new.iterrows():\n",
        "  S = list(filter(lambda w: w.lower() in skills, re.split(r'\\W+', row['Job Description'])))\n",
        "  if len(S) > 0:\n",
        "    skill_list.append(','.join(S))\n",
        "  else:\n",
        "    skill_list.append(np.nan)\n",
        "\n",
        "df_new['Skills'] = skill_list\n",
        "\n",
        "df_new=df_new.dropna()\n",
        "df_new"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(skills)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9GinJmOwJOcy",
        "outputId": "2325beb6-c702-40db-ce51-43cf4bcc26c1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "86"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Find the correlation between numberical values in the dataset"
      ],
      "metadata": {
        "id": "0_LTovklzfqx"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        },
        "id": "hAmepnm-za9k",
        "outputId": "7de4634b-85f0-4465-85b0-0b05fc35d91d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7b3ac97090>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "sns.heatmap(df_new.corr())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1SwK-hDXfK9o",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 372
        },
        "outputId": "840c83b5-56d2-4491-fe65-84a359e6e336"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                        Company Name  \\\n",
              "151                      Intelous IO   \n",
              "152     Calmove Technologies Pvt Ltd   \n",
              "153  Gems Digital Media Private LTD.   \n",
              "154            Fraxinus IT Solutions   \n",
              "160                     M/S OTECHNIX   \n",
              "\n",
              "                                    Job Title                    Location  \\\n",
              "151                         Prepress Operator        Bengaluru, Karnataka   \n",
              "152                            HTML Developer  Thiruvananthapuram, Kerala   \n",
              "153                            HTML Developer          Ahmedabad, Gujarat   \n",
              "154                            HTML Developer              Surat, Gujarat   \n",
              "160  Computer trainer in programming language             Guwahati, Assam   \n",
              "\n",
              "                                       Job Description  \\\n",
              "151  Die, Foil, Emboss File Prepration.\\nDigital Pr...   \n",
              "152  Fair understanding of JavaScript programming a...   \n",
              "153  Developing skills and expertise in appropriate...   \n",
              "154  Fair understanding of JavaScript programming a...   \n",
              "160  \\*Urgently required contract basis software pr...   \n",
              "\n",
              "                                                  Link  min_salary  \\\n",
              "151                  https://in.indeed.com/cmp/Chase-2     20000.0   \n",
              "152          https://in.indeed.com/cmp/Chase-2/reviews      8919.0   \n",
              "153  https://in.indeed.com/JPMorgan-Chase-Bank,-N.a...     35000.0   \n",
              "154  https://in.indeed.com/jobs-in-Bengaluru,-Karna...      9321.0   \n",
              "160  https://in.indeed.com/rc/clk?cmp=M%2FS-OTECHNI...      8129.0   \n",
              "\n",
              "     max_salary                   Skills LocationState  \n",
              "151     20000.0                              Karnataka  \n",
              "152     29787.0              JavaScript,        Kerala  \n",
              "153     35000.0  HTML,Javascript,jQuery,       Gujarat  \n",
              "154     31576.0              JavaScript,       Gujarat  \n",
              "160     25859.0                        ,         Assam  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d4c6ba91-94d5-431d-9e72-42c99536fcc5\">\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>Company Name</th>\n",
              "      <th>Job Title</th>\n",
              "      <th>Location</th>\n",
              "      <th>Job Description</th>\n",
              "      <th>Link</th>\n",
              "      <th>min_salary</th>\n",
              "      <th>max_salary</th>\n",
              "      <th>Skills</th>\n",
              "      <th>LocationState</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>151</th>\n",
              "      <td>Intelous IO</td>\n",
              "      <td>Prepress Operator</td>\n",
              "      <td>Bengaluru, Karnataka</td>\n",
              "      <td>Die, Foil, Emboss File Prepration.\\nDigital Pr...</td>\n",
              "      <td>https://in.indeed.com/cmp/Chase-2</td>\n",
              "      <td>20000.0</td>\n",
              "      <td>20000.0</td>\n",
              "      <td></td>\n",
              "      <td>Karnataka</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>152</th>\n",
              "      <td>Calmove Technologies Pvt Ltd</td>\n",
              "      <td>HTML Developer</td>\n",
              "      <td>Thiruvananthapuram, Kerala</td>\n",
              "      <td>Fair understanding of JavaScript programming a...</td>\n",
              "      <td>https://in.indeed.com/cmp/Chase-2/reviews</td>\n",
              "      <td>8919.0</td>\n",
              "      <td>29787.0</td>\n",
              "      <td>JavaScript,</td>\n",
              "      <td>Kerala</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>153</th>\n",
              "      <td>Gems Digital Media Private LTD.</td>\n",
              "      <td>HTML Developer</td>\n",
              "      <td>Ahmedabad, Gujarat</td>\n",
              "      <td>Developing skills and expertise in appropriate...</td>\n",
              "      <td>https://in.indeed.com/JPMorgan-Chase-Bank,-N.a...</td>\n",
              "      <td>35000.0</td>\n",
              "      <td>35000.0</td>\n",
              "      <td>HTML,Javascript,jQuery,</td>\n",
              "      <td>Gujarat</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>154</th>\n",
              "      <td>Fraxinus IT Solutions</td>\n",
              "      <td>HTML Developer</td>\n",
              "      <td>Surat, Gujarat</td>\n",
              "      <td>Fair understanding of JavaScript programming a...</td>\n",
              "      <td>https://in.indeed.com/jobs-in-Bengaluru,-Karna...</td>\n",
              "      <td>9321.0</td>\n",
              "      <td>31576.0</td>\n",
              "      <td>JavaScript,</td>\n",
              "      <td>Gujarat</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>160</th>\n",
              "      <td>M/S OTECHNIX</td>\n",
              "      <td>Computer trainer in programming language</td>\n",
              "      <td>Guwahati, Assam</td>\n",
              "      <td>\\*Urgently required contract basis software pr...</td>\n",
              "      <td>https://in.indeed.com/rc/clk?cmp=M%2FS-OTECHNI...</td>\n",
              "      <td>8129.0</td>\n",
              "      <td>25859.0</td>\n",
              "      <td>,</td>\n",
              "      <td>Assam</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d4c6ba91-94d5-431d-9e72-42c99536fcc5')\"\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-d4c6ba91-94d5-431d-9e72-42c99536fcc5 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-d4c6ba91-94d5-431d-9e72-42c99536fcc5');\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": 7
        }
      ],
      "source": [
        "df_new['LocationState'] = df_new['Location'].str.split(',', expand=True)[1]\n",
        "df_new.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Clean data of bad locations\n",
        "df_new['LocationState'] = df_new['LocationState'].str.replace(\n",
        "    'Pune', 'Maharashtra').str.replace(\n",
        "    'Thiruvananthapuram', 'Kerala').str.replace(\n",
        "    'Hyderabad', 'Telangana').str.replace(\n",
        "    'Kolkata', 'West Bengal').str.replace(\n",
        "    'Chennai', 'Tamil Nadu').str.replace(\n",
        "    'Bengaluru', 'Karnataka')\n",
        "\n",
        "df_new['LocationState'] = df_new['LocationState'].str.replace('\\+\\d locations', '')\n",
        "#pd.set_option('display.max_rows', None)\n",
        "df_new['LocationState']\n",
        "#pd.reset_option('all')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q9m_AFsvPknM",
        "outputId": "0e425d2b-e3a9-4cc0-af17-e04524ba37bc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:10: FutureWarning: The default value of regex will change from True to False in a future version.\n",
            "  # Remove the CWD from sys.path while we load stuff.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "151        Karnataka\n",
              "152           Kerala\n",
              "153          Gujarat\n",
              "154          Gujarat\n",
              "160            Assam\n",
              "            ...     \n",
              "1060      Tamil Nadu\n",
              "1061     Maharashtra\n",
              "1062         Gujarat\n",
              "1063       Telangana\n",
              "1065          Kerala\n",
              "Name: LocationState, Length: 126, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Find the variation in salary in each state"
      ],
      "metadata": {
        "id": "6JOGXU3QzZqR"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 555
        },
        "id": "24sPVeHZbQRq",
        "outputId": "9ac4328a-2368-48d0-9840-b4c7a0065a61"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7b3abbdc10>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2160x720 with 1 Axes>"
            ],
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.set(rc={\"figure.figsize\":(30,10)})\n",
        "\n",
        "ax = sns.boxplot(x=\"LocationState\", y=\"min_salary\", data=df_new)\n",
        "ax.set_xticklabels(ax.get_xticklabels(), rotation=30)\n",
        "ax"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Find out which states have the highest number of job vacancies"
      ],
      "metadata": {
        "id": "rKfeclXnzQMN"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 558
        },
        "id": "QdE1sr5hgocS",
        "outputId": "fa09478a-899a-4e06-dcd7-5a13e5e9ec1f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7b37cf2e50>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2160x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.set(rc={\"figure.figsize\":(30,10)})\n",
        "\n",
        "ax=sns.countplot(x=\"LocationState\",data=df_new, order=df_new['LocationState'].value_counts().index)\n",
        "ax.set_xticklabels(ax.get_xticklabels(), rotation=30)\n",
        "ax"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "What are the most demanding skills for a job now-a-days?"
      ],
      "metadata": {
        "id": "I-CRmGcFy_Fc"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 546
        },
        "id": "GEWt-Z5njFnU",
        "outputId": "cd63f979-76c2-425c-a987-08da662329a5"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7b37bc4e10>"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2160x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.set(rc={\"figure.figsize\":(30,10)})\n",
        "\n",
        "all_job_skills = []\n",
        "for row in df_new['Skills']:\n",
        "  row_split = {x for x in row.strip().split(',') if len(x.strip()) > 0}\n",
        "  if len(row_split) > 0:\n",
        "    for skill in row_split:\n",
        "      all_job_skills.append(skill)\n",
        "skill_series = pd.Series(data=all_job_skills, name=\"Skill\")\n",
        "\n",
        "ax=sns.countplot(x=skill_series, order=skill_series.value_counts().index)\n",
        "ax.set_xticklabels(ax.get_xticklabels(), rotation=30)\n",
        "ax"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Find the most common salary offered to an employee(maximum)"
      ],
      "metadata": {
        "id": "BCo0Lv2lyqvK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_new[\"max_salary\"].plot.hist(bins=20,figsize=(10,5))"
      ],
      "metadata": {
        "id": "HZv9OgZ7sxOb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 339
        },
        "outputId": "f6fae7ca-26b7-4a55-e5d3-aa9ec3d9708a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7b37aa1fd0>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Find the most common salary offered to an employee(minimum)"
      ],
      "metadata": {
        "id": "ztTS85YExpfW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_new[\"min_salary\"].plot.hist(bins=20,figsize=(10,5))"
      ],
      "metadata": {
        "id": "Vrzpq-5rvrr_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 339
        },
        "outputId": "5c573997-a9f9-4942-c28f-184420b77c73"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7b379dc0d0>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Tensorflow validation\n",
        "https://colab.research.google.com/drive/1OQZTKACTpGpso2pKd0WTRZDVUBL2-so7?usp=sharing"
      ],
      "metadata": {
        "id": "-ApXV5zPywvz"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Pandas profiling\n",
        "https://colab.research.google.com/drive/1qrOq9NlJuWHGjz4hVFfFVXeg35hoaMPb?usp=sharing\n"
      ],
      "metadata": {
        "id": "lB3or2AGxXIR"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Model construction"
      ],
      "metadata": {
        "id": "hTU-cMYKxRC0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_new.head()"
      ],
      "metadata": {
        "id": "t_zL3UTR551T",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 372
        },
        "outputId": "2564511a-3a09-4bf1-e4ec-30ca439e440b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                        Company Name  \\\n",
              "151                      Intelous IO   \n",
              "152     Calmove Technologies Pvt Ltd   \n",
              "153  Gems Digital Media Private LTD.   \n",
              "154            Fraxinus IT Solutions   \n",
              "160                     M/S OTECHNIX   \n",
              "\n",
              "                                    Job Title                    Location  \\\n",
              "151                         Prepress Operator        Bengaluru, Karnataka   \n",
              "152                            HTML Developer  Thiruvananthapuram, Kerala   \n",
              "153                            HTML Developer          Ahmedabad, Gujarat   \n",
              "154                            HTML Developer              Surat, Gujarat   \n",
              "160  Computer trainer in programming language             Guwahati, Assam   \n",
              "\n",
              "                                       Job Description  \\\n",
              "151  Die, Foil, Emboss File Prepration.\\nDigital Pr...   \n",
              "152  Fair understanding of JavaScript programming a...   \n",
              "153  Developing skills and expertise in appropriate...   \n",
              "154  Fair understanding of JavaScript programming a...   \n",
              "160  \\*Urgently required contract basis software pr...   \n",
              "\n",
              "                                                  Link  min_salary  \\\n",
              "151                  https://in.indeed.com/cmp/Chase-2     20000.0   \n",
              "152          https://in.indeed.com/cmp/Chase-2/reviews      8919.0   \n",
              "153  https://in.indeed.com/JPMorgan-Chase-Bank,-N.a...     35000.0   \n",
              "154  https://in.indeed.com/jobs-in-Bengaluru,-Karna...      9321.0   \n",
              "160  https://in.indeed.com/rc/clk?cmp=M%2FS-OTECHNI...      8129.0   \n",
              "\n",
              "     max_salary                   Skills LocationState  \n",
              "151     20000.0                              Karnataka  \n",
              "152     29787.0              JavaScript,        Kerala  \n",
              "153     35000.0  HTML,Javascript,jQuery,       Gujarat  \n",
              "154     31576.0              JavaScript,       Gujarat  \n",
              "160     25859.0                        ,         Assam  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-81f02c0c-907e-4cf7-a42a-2ff3d5718734\">\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>Company Name</th>\n",
              "      <th>Job Title</th>\n",
              "      <th>Location</th>\n",
              "      <th>Job Description</th>\n",
              "      <th>Link</th>\n",
              "      <th>min_salary</th>\n",
              "      <th>max_salary</th>\n",
              "      <th>Skills</th>\n",
              "      <th>LocationState</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>151</th>\n",
              "      <td>Intelous IO</td>\n",
              "      <td>Prepress Operator</td>\n",
              "      <td>Bengaluru, Karnataka</td>\n",
              "      <td>Die, Foil, Emboss File Prepration.\\nDigital Pr...</td>\n",
              "      <td>https://in.indeed.com/cmp/Chase-2</td>\n",
              "      <td>20000.0</td>\n",
              "      <td>20000.0</td>\n",
              "      <td></td>\n",
              "      <td>Karnataka</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>152</th>\n",
              "      <td>Calmove Technologies Pvt Ltd</td>\n",
              "      <td>HTML Developer</td>\n",
              "      <td>Thiruvananthapuram, Kerala</td>\n",
              "      <td>Fair understanding of JavaScript programming a...</td>\n",
              "      <td>https://in.indeed.com/cmp/Chase-2/reviews</td>\n",
              "      <td>8919.0</td>\n",
              "      <td>29787.0</td>\n",
              "      <td>JavaScript,</td>\n",
              "      <td>Kerala</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>153</th>\n",
              "      <td>Gems Digital Media Private LTD.</td>\n",
              "      <td>HTML Developer</td>\n",
              "      <td>Ahmedabad, Gujarat</td>\n",
              "      <td>Developing skills and expertise in appropriate...</td>\n",
              "      <td>https://in.indeed.com/JPMorgan-Chase-Bank,-N.a...</td>\n",
              "      <td>35000.0</td>\n",
              "      <td>35000.0</td>\n",
              "      <td>HTML,Javascript,jQuery,</td>\n",
              "      <td>Gujarat</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>154</th>\n",
              "      <td>Fraxinus IT Solutions</td>\n",
              "      <td>HTML Developer</td>\n",
              "      <td>Surat, Gujarat</td>\n",
              "      <td>Fair understanding of JavaScript programming a...</td>\n",
              "      <td>https://in.indeed.com/jobs-in-Bengaluru,-Karna...</td>\n",
              "      <td>9321.0</td>\n",
              "      <td>31576.0</td>\n",
              "      <td>JavaScript,</td>\n",
              "      <td>Gujarat</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>160</th>\n",
              "      <td>M/S OTECHNIX</td>\n",
              "      <td>Computer trainer in programming language</td>\n",
              "      <td>Guwahati, Assam</td>\n",
              "      <td>\\*Urgently required contract basis software pr...</td>\n",
              "      <td>https://in.indeed.com/rc/clk?cmp=M%2FS-OTECHNI...</td>\n",
              "      <td>8129.0</td>\n",
              "      <td>25859.0</td>\n",
              "      <td>,</td>\n",
              "      <td>Assam</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-81f02c0c-907e-4cf7-a42a-2ff3d5718734')\"\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-81f02c0c-907e-4cf7-a42a-2ff3d5718734 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-81f02c0c-907e-4cf7-a42a-2ff3d5718734');\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": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Find number of jobs for each job title"
      ],
      "metadata": {
        "id": "TvhpKM1q51p1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(rc={\"figure.figsize\":(30,10)})\n",
        "\n",
        "ax=sns.countplot(x=\"Job Title\",data=df_new, order=df_new['Job Title'].value_counts().index)\n",
        "ax.set_xticklabels(ax.get_xticklabels(), rotation=75)\n",
        "ax"
      ],
      "metadata": {
        "id": "tPZIQHHU5OmL",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 791
        },
        "outputId": "82641c6c-af81-47e1-b01b-d4889e1af76f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7b309830d0>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2160x720 with 1 Axes>"
            ],
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Y6DXtVzpy5Ag7duwAWt7oVsrT4cOH1YUELakLtZWens4777zTLM6WUPL/3Llz7NmzB9Ctgezp6YmxsXGzsFtLX5MtSt2+Z88eOnbsqHN4LVVfX6+XNmVLB86U/Pfw8FAnZHWtM5T7MWfOHD777LPbvmM8KiqKr7/+mj179hASEkJhYeF1f3fBggU6Dz4q9dbGjRt1XqRVUVGh98FQJX2HDx9WJ6X13YZq2i6cP3++3uPQaDTNnvsbPTvK73399ddt3lZUBv2nTZtGZWVlm4QPMG/ePK2e07ZaRHWlkJAQTp8+TUFBAV5eXly8ePGGv6/Ut5999hlJSUloNJpbshh01apVZGZmAjdvnyp5vWrVKkxNTVsVX0NDA2VlZRQVFbF06VKsra2b/bxpO6ct1NbW3paV8UqcZWVl7N+/nxdeeIGtW7de9XsxMTH88ssvtzp5OlHqGnd3dw4ePAhcuyzV1NQwderUVj2DShyffPKJ2r9R8rSwsPC2T5xkZGTw2WefYWBgoA6OK8/L8uXLMTExuaXp0Wg0FBUVNatzb1Tu9+7dq4413cq8bDrQf+TIkWY/U+rEK3/3r8TQ0FC9z/pqszalhL1792514XhNTc0tzQvlmn777Td1XLFpv0z5+bp161q1oFsbSlk4f/48PXv2BNquPNTU1Gi1yLHpYkZd+pPaWrJkSasn1ZW82rVrFyEhIfpMlk6UCb7MzExeffVVvvnmG7Zu3crx48fZvHkz+/btIyMjo9XhazQaampqWL58ud7GPmbMmKHz4gaNRkN1dTUffvghRkZGQNvWb4aGhjQ0NFBVVYVGo6GwsJDY2FhiYmLIycm57t8dOHCAvLw8oHVzCUY6pfovrmkjXemUKgM5uqqvr8fAwIDExES6du2q/ntDQ4P6M30M9CgNlfj4eIYNGwY0H7hr2pC5FqVizs/Px9XVFWgsKMqL8cqXuLbq6+sxNDQkLy+PoUOHAv/N27q6upuGrfx9RkYGAwYMAGjWCLvZdV2PgYEBDQ0NGBoaqtfbtAHQ0utV/iYiIgIrK6tm6VPSqM/VCwcPHuTs2bMMGTIEjUbDjh07WLFiBYMHD2b69Once++9eourrq4OIyMjkpOTsbS0JCsrC0dHR/Xn17sHJSUlDB8+HECtHLVVVlbG3XffTUZGBu3atdPb83gjynXk5ubSu3dv9u3bx6OPPoqVlVWry7+2srKyGDFiBECrJ8yvdQ/y8vKorq7GxsZGq+ftRpS/MzY2plu3bjqlVRvKC+7y5cvNBq/r6+tb9DzNmzeP9u3bk56eztmzZ+nSpQtDhgzhmWeeUeukK124cEFtaDTd/dDW5eB6MjIy2LRpExcuXGDYsGFoNBo8PT1JTU3ljz/+4LnnnmtW79xuyrOUk5ODnZ0da9asoby8nIKCAnr06EF9fT2BgYE8+OCDjB07tkV1Y11dHYaGhhQVFXH33XeTk5NDp06d9H4NSpoGDRrEN998g7+/P/PmzWtV3VpQUMDIkSOBlteFN6K8d9LS0tS6tjVlVHnPpqenM3jwYKB171klbkdHR3XXtaWlZYvTA3Do0CF+/PFHqqurefXVV5kxYwaGhoYUFhZy/PhxHnnkEezs7FoUZmlpKYMGDSIlJQUHB4dWpau1rrwvSjmurq7WamCpvr6eHTt2EBsbS0VFBV27dmXAgAG4uLio9fG1KPfNyMhIfW8r8SlpaCklzK+++or169ezatUqXnrpJbp169bi+lkfdu/eTVRUFAYGBgQHB2NmZkb79u3p2bMnvXv3xsnJCXNzc3Jycqivr29275XOfkueGyXPYmJiePrppwHtnxHlmY2JieHPP//kzJkzzJ49m6eeeoqKigrMzc1bcunXpFxLXl4e/fr1AxrfY0ZGRnp7hynXGx4err6fletvbbs8ISGBvLw8goKCSEpKom/fvgwdOpQRI0ZcN91KXFlZWXTt2rXZZIQyiKuvdooSV1xcHL169cLMzOyaP9c1/JSUFLp3737NvoQyOG1gYEBISAiBgYF4eHiwePFiBg4cSGVlpV7K0JU0Gg39+vUjIiKCvXv34uPjg42NDT169KBHjx64urqq6a2uriYgIICqqioSExPp1asX8N/nZtWqVcyaNUuvC1mU8mFvb4+zs3Oz+K5Vzyl5nZeXx8CBA5vVwcp4gDblJi8vDw8PD8LDwzE1NSU7OxuNRkOnTp3Iy8vjhx9+4Mcff9THJTajlAFfX186d+6sPue1tbV6bWPcKH5DQ0M2b95MbW0tHTp0ICEhAWisj62srHjyySfJzs5Wxz6qq6sxMjLS6f1QUFBAfHy82t5pS4WFheqiyKZlSekPxMbG4uDgcNVE6s3qgbKyMtzc3EhLS6OsrIwOHTo0K6MLFizg+++/vy1teqVcpaamqmNJyngJNPZV+/Tpoz4vDQ0Nap7ou3904cIFwsLCOHjwICYmJvTr148OHTrg6urKiBEjrpnHShqcnJzUxQS3st+m3HsPDw+ysrIYNGgQqampeHh4UFFRgYuLC05OTri6utK+fftblq6bpbe0tJRTp06RlpbGQw89hKura5vkmxJm00HoWzG+c600lJWV8eCDDwI0G8BXfp6RkUGXLl2AxvaToaGh3vJEo9FQVVVFx44dOX36tNpGbY0r6xulDa7U0ceOHWPDhg2MGzdOq/HNlJSUZs++vikT28bGxs367i0Zo7p06RLt27dn3759fPvttwBqXyo4OJh+/frdlvrT2dkZZ2dn8vLyGDt2LL6+vuzfvx8zMzNMTU2xsLBg9erVODs78/zzz/P4449r/S5U7nNmZqb6vm/NeHXTsBISEnBwcLiqrQnaL/5VwoqNjW1Wb+gypn4jW7duJSMjAysrK2JiYkhKSsLCwgITExOio6NZv379VWNCSvyVlZVqH6E1CzoMv/rqq690voK/sKysLI4cOcKePXuIiooiOTmZiooKbG1tr+rwtIRSSH7//XeOHTuGjY0Nzs7OGBsb6/V4GSWeM2fO4ObmRlJSEmZmZhgbG2NlZXXTeDQaDZWVlaxYsYKSkhLuv/9+TExMdE6j0uhdsmQJu3btIjExEXt7exwdHZutQLkepQD/9ttvbNmyhfDwcLUw29ra6pS2lJQUtmzZQlBQEPb29lhbW2Nubt6qMJX8P3r0KEFBQXTq1InOnTtjbGys94GhnJwcHBwcePfddxkyZAgPPPAAzz77LA899BAlJSWcP38eU1PTGw6QtYRyD3744Qc8PDzYv38/SUlJ6uDalR0v5VoPHTrEwYMHm1WsZmZmN6wUlXwMDAxk27ZthIaGYmpqSmVlJXV1dZiYmLRZR09Jt7e3N7t37yYuLo7CwkIKCwspLy/H1NRU74MMSpwnT57Ey8tLfWGamJhoVVEr+ZWWlsbRo0e55557gMYOsYGBAd7e3oSHh2Nra0uvXr10fparqqpYt24dvr6+WFhYqGXbyMhIrxNjSmMuPDwcDw8PDAwM6NatG2ZmZi16nmpra7GwsKBv375MnTqV2bNn4+TkREJCAps3byYxMZFhw4Y1y2uNRsPWrVvJz89n0KBB2NjY3PajwCorKxk2bBizZ8+mf//+DBkyhLq6OmJjY8nIyCAuLg5nZ2fs7e1vWxqbUsrlvn37OHfuHK6urrzyyitMmjSJYcOG4ezsTFlZGVu2bOHkyZMMHDhQ64kN5f5/9913HDhwgKSkJIyNjTE1NcXMzEzv9YOjoyPPP/88JSUl+Pv7Y21tjaOjIxqN5qaDHsrP3N3d2bVrF0VFRerigitXkLeGEv/p06dxd3cnKysLc3NzGhoaMDU11fqZVOrkzZs3s2XLFuLi4mhoaMDW1hZLS8sWlf3MzEx++OEHwsPDKS8vp6ysjJqaGjQajdb158WLF/n000/55JNP6N+/P35+fhgbG/Phhx9y+PBhQkNDeeKJJ7Tu7Cj5dOzYMZYtW0ZUVJRax5qbm7dpZ/z8+fMsWrSI1NRUte1ibm7erG0zZMiQ6/69UhcGBgayevVqHn74YZycnCgoKCA4OJgzZ87w+OOPX/fvNRoNFRUVvP/++3h6epKWloaJiQmOjo46X7e1tTUdO3YkODiYU6dO4ezsTMeOHW95XRkREcGsWbMYPnw41tbW6kKKxMREQkNDCQ4OJi4ujsuXL3P06FFqamro0qWL2jZuTXpLS0sJDg4mOzube+65R+uOlVIW58+fzzPPPENgYCAjRoygd+/erF69GlNTU3UAprWU61m7di05OTmMGDGi1W3bm8Vz/vx5wsPD6dSpE9bW1piamrY6nj179nDq1CkGDBiAg4MD4eHh7N69m/Xr13Pp0iXuvvvua06gaDQaTp06xcaNG9VJsXbt2ul9AYty70JCQjh48CB5eXnY2dmpHXF95K9Go+Hs2bNs376d9PR07O3tsbW1VfsSyu8AvP/++4wePZrAwECeffZZLC0t+fXXX3Fycmr1IoTr6dKlCzY2NlhYWNCzZ08sLS0pKSkhLS0Nf39/7rrrLnUAoqysjPDwcFauXElBQQGRkZGkpaVhbW1NaWkp69atY8aMGXpNHzTuFl+yZAk+Pj6YmZlhY2ODtbX1dcuARqPhwIEDrF69mvj4eLp3706nTp1aNLCv0WgoLy/n2LFjlJSUEBoaSlhYGJmZmXh6elJWVsb48eP1eZlqvABeXl7069dPbT95eXlhaWmpl/aFNmlYv349s2fPJiUlhYEDB9KvXz+2bduGiYkJQ4YMYc2aNcTExNCnTx+6dOmic384LCyM0NBQ7rvvPqBxJX5OTg7t2rXT12Wp6Vu2bBknT57EzMyMDh06YGlpqU4MaTQaIiMjCQgIUBdYmJmZaTWuofSlPD09yc7OxsPDA39/fwoLC4mOjsbHx4fXXntN58n11tJoNPj6+qo7rWtra6mpqcHCwoL9+/ezZcsWSktLGThwIKampm3WP/Ly8qKqqoqZM2fSpUsX6uvrSU9Px9PTEx8fH7p06XLNhXBpaWl8+OGHhIWFqeMO5ubmt2w3m0ajwcfHBzs7O+Li4vD29uaBBx6gpqaG6Oho/Pz82L17N5mZmfTu3fu2LmRUBqoXLVpEZGQkCQkJrFu3jnXr1nHgwAF69+6t01jS5cuXCQsLaxZGTk4OBw8eZNeuXcTHx5ORkUFtbS12dna3ZGJMo2ncxbJ161Z27dqlTnTZ2dmpz29MTAyHDx/G0tISFxcXrZ7rloqKiuL7778nMjKSCxcuUFBQgJGREZaWli3KB41Gw86dOzE1NVXbPU3bPps2bWLYsGEMHTr0hnWK8u8+Pj6cPHkSS0tLzMzM9NqvVvozQUFBbNu2jfLycvr06aP2ibTJ46qqKn7++Wdmz55NUVERjo6OODg4qIvcpk2bxjPPPHNbnisjIyOMjIywtbVl8ODBDBw4kOnTpzNgwABsbGx4/fXXefnllzEyMiI0NJTi4mJ1YutmlGfVzc0Nd3d3cnNzueuuu1rU11c0Xczm5eVFWVmZOinWmrKu0WgICAhgy5YtREVFYWZmhoWFRYvHD24mIiKCuXPnUlhYiLOzM+PHj2fEiBG4ubmxY8cO5s2bd93+U2FhIb/++is7duwgPDycgoICdeGktjQNf8X9vHpUWlpKfn4+ubm5REVFkZWVRXx8PCNGjGD27Nk6N0o8PT1xd3dXj5bo0qULvXv3ZtasWXp9YD08PIiJiSE7OxsDAwOMjY0xMjJi5syZzXamXculS5f45ptvCAsLo6CggL59+zJ8+HCeeuop7r77bp3SlZOTw9mzZ/H29iYiIoLS0lLs7OzYunXrTQdw6+vrSUlJISUlhYiICBISEsjKysLAwEBtdLdGQkICnp6exMfHq6suTUxMmDBhAmPGjGlVmNu2bePIkSNq49jR0RFnZ2cmTZqkt4mUX3/9FSsrK5577rmrflZUVIS7uzt+fn589NFHdO/eXS9xKhoaGggICODAgQP4+fmRl5dHcHDwVWW4vLycHTt2kJ+fT2ZmJmZmZtja2tKtWzdeeeWVm8ZTXFxMSEgI0dHRBAcHq5M7r732Gg899JBer6kp5WWTl5dHbGwsp06dIiUlhZycHD744ANGjRql9zgrKipYuXIlubm51NTU4ODgQMeOHXF0dGTSpEladcrDwsIICwvj5ZdfbrbC8Ndff2XNmjWUlZXRu3dvxo0bx5gxYxg8eHCr6rSysjL27dvHxYsXuXDhAiYmJrRv356hQ4fy/PPPt+r6b8THx4cdO3aQm5tL586dad++PV27duXpp5/WecCwrKyMjRs3kp+fz5w5c9ROVU1NDStWrODo0aMYGRnRvXt3Bg0axLBhw27JalRt/fnnn+zbt0/9toijoyPPPfccTz311C0ZCNHG1q1biY+PJzExETMzM5ycnOjRowcvvPCCushk69atmJubM3HixBY1uKuqqoiIiODUqVP4+/tTWlqKubk5GzZsoEOHDnq7hoKCAqysrMjJyWHevHkkJCTw2Wef8eyzz2qdzkOHDpGbm0tmZqZal9nZ2TF//ny9DNbu3r2bxMREMjMzMTExwd7eHhsbG2bMmKH1BGlDQwNxcXHExcVx4cIFkpOTuXTpEiYmJmzcuFGrVfxK/RkfH09ycjKnTp0iIyODqqoqxo0bx+zZs7VKi5ubG1FRUXz++edAY2fuxx9/ZN68ebi4uODq6triRUpK2s6fP09wcDAnTpygoKCAhoYGFixYwLhx41oUnrY++ugjLl68yPDhw9Vv/Nna2nLfffeRmppKSEgIW7duve7qOeXfN27ciIODA5MmTaKyspLi4mKys7MBGDhw4E3r85ycHEJCQvD29ubChQtqmlp6hJUST9MdbbGxsezcuZNTp04xdepUXnrppdu+U7W4uJj09HSSkpIoLCxk+/btvP766wQGBpKdnY29vT12dnZ06tSJyZMnt7itFBoayjvvvIOBgQEuLi4MGzaMwYMHc/fdd9+0/q2pqeHFF19k9+7dvPDCC6xevZqOHTsyefJkli5dyl133aXLpQON9dZ7771HUlISJSUlDBo0iIcffphHH330pn2BlliwYAHx8fF06dJFRXBHawAAIABJREFUHfDu1KkTI0aM0NvAVmhoKEeOHKFDhw5Mnz79mkfaRUVF4enpSVRUFMXFxRgbG2Nvb8+7775L37599ZIOxf79+wkKCqKoqAgbGxusrKywsLDg+eef10veBgQE4OPjo377ysDAAHNzc9544w169+6tDtYtX76c9evXM3nyZP7880+qq6uZOHEiBw4caNPdQco7TGkrJyQkMHTo0Kt2E2/YsIHLly/Tu3dv/P39SUhIoKysjAkTJvDuu++2emfq9eTn5xMQEEBYWBhpaWkUFRWpz9r13te5ubkcO3YMPz8/oqOjqa+vx87OjkWLFjFw4ECt4w4ODqZHjx5cunSJM2fOEBUVhZOTE48//ji9e/fW1yVel7IjbPny5bz55pu3pP6tq6vjrbfe4pdffmHGjBls2bIFExMTpk2bxuLFi+nTpw/ffPMNfn5+JCUl0b17d0aPHs3YsWO5//779ZKG/fv3U11dzXPPPafXyaOqqiqOHTtGUFAQaWlplJSUYGFhweDBg9VjYX/55Rf8/f0xNjamd+/edOnSBXt7e0aNGqVVu8vNzU3dwXDkyBH8/f1p3749kydP5v7779f789ESvr6+ZGZmkpCQQHl5OfX19dTW1vL000/j6+vLmTNnyMrKolOnTvTp04f58+fr9b1yI2lpaepxV2+//XazCTGlvRQWFkZ4eDhHjx4lKysLQ0NDnnvuOWbOnNnm6WtoaOCTTz7Bx8eH0aNHc88999CnTx+cnZ3p1KkTdXV1BAUFcfjwYTp16sSsWbPaZDdvSzzzzDOsX79e3eWdkpLC3r17efjhh1tUD15JGUN59dVX1eezpKSEzMxMsrOziY2NJTs7m+TkZO677z7mzJmjr0u6oaKiIry9vUlOTiYnJ4fS0lKqqqpwcXHh/fffJzg4mIULF3Lx4kXs7e0ZOXIkDzzwAI888kizhSmt1fTZTk5OxsvLi8DAQEJDQ3n99deZO3eu1mFVVlYybdo0EhMTMTY25t577+Wxxx5j1KhRavtW23ZlVVUV3333HZmZmRgaGtKxY0c6d+5Mp06dGD9+vN7aFeHh4fz+++/ExsbS0NCAvb09PXr04KWXXlJ3kt/M3r17cXNzo6amhsjISMzNzdXTstauXXvbFhPU1NQQExNDQEAAlpaW9OvXj379+jVboFRZWUlQUBBbtmzh5ZdfbtGYs5+fH8ePHyc8PJyioiL1BIyZM2e2eLfp3r17OXnyJBUVFXTs2BFbW1vs7OyYMGFCsxPAtHHmzBkiIiJISkqivLyc2tpa6urqmD9/vl7aQMr93Lt3L5GRkTz44IOMGTOGgIAANmzYwMaNG294z6uqqrh06RKpqalEREQQFxdHdHS0evqPNu74yTBonHFUVtQVFBSoO3C6dOmit4cqPz+flJQUdSXAkiVL2qSxU15ernYIUlJSeO+991o0eJScnMzZs2c5ePAg/fr149NPP9XbVse6ujqSk5M5f/681gPoVVVVmJqaUltbS3FxMbm5ueTk5DB69Gi93JvIyEguXrxIREQEY8aM4b777mvV9SrpjImJITY2lpSUFDIyMvj222/1dp9feuklPv/8c/r27aseZXnlior8/HwqKyv1tjuspqaGjIwMysrKcHJyUjtaxcXF2NjYNLsHV96PgoICwsPDiYiIwNTUVOvJ5YKCAkxNTbG0tCQ9PR1fX1+GDx9Or1692vQlV11dTVhYGNbW1uqKjdjYWLp06YK1tbVe476yjMXHx3Pu3DmioqKwsrLiww8/1Et8RUVFHDlyhKNHj+Lj44Obm5tO30RTjpG5cOECvr6+2NraMmPGDL1vh1YGXNPT09UB3IiICN5++2369eundd7U1dWRn58PoA5caTQaiouLCQgI4K677lIbYEqYNTU1REVFERsby9mzZ6murmbVqlV6u7bWKCgo4Pfff6djx45MmjQJQ0NDampqCAwMZO/evYSFhbFp0yacnJxuazqvVF1dzblz5wgODiY1NZVly5apx1FcvnyZ6OhoBg8e3OIOYX5+vtr4y8/PJygoSC+rsJVy/Msvv5CVlYWfnx/9+vWjd+/eZGRkEB0dzciRI5k/f/4N03xl+SwuLiYqKorExEQApk+frtf6pLy8nJCQEGJiYkhNTWXhwoUtClvpoNXW1lJYWEhWVhYZGRk8+eSTLUpnbm4u5eXlODs7U11dTWhoKCYmJgwePFirAZ6ZM2cyfPhwdfJs7dq11NbWqh1lXeqZiooKdbVwaWkpp0+fpn///m32zMyfP58HH3yQhx56iMzMTDIzM0lNTaWoqIg//viD999/nxkzZlw3X5R8//TTTzEzM2POnDmtOuKxafgNDQ0kJSWRl5fHiBEjWjXotn79evbv30+fPn2ora0lMzOT/v37U1ZWxqhRo5g4ceIt6YxeGUdJSclVpyFUVlYye/ZsNm3ahJGRETk5OURERKiLOubMmUPPnj1b9D5R8is7O5vjx4/j5+dHUFAQb7zxBv/4xz9uGFZiYiKbN2/m1VdfZcmSJaxfv56cnBz+8Y9/8Oeff+qYI1dLSUnB09MTNzc3evXqxdq1a3V+VzedFC0uLiY4OJiwsDCysrIwMzNjyZIlrQovPj6ePXv2sGDBAmpqatQJtfT0dH766SeGDh3KlClTrpv22tpaUlNTSU1NJTAwkJdeeonu3bu3SVnMzc3l3LlzXLx4kZSUFD744IMWH916I9XV1YSHh6vvnNdff50OHTqou1wjIiLo378/R48eZdmyZQQFBbFhwwbWr1+vtzRA8+P+vby8SEpKws7ODmdnZ/r164eTk9M1B2GUYz9ra2vV3Zp1dXVYWVlhaWnZpvWD0ocPCQnh7rvvZujQoTet56qrq0lISODYsWNMmjRJ63JTUlKCj48PDz/8sNpPBdpkN4HybY/w8HCysrJwcXFRT4S4HQ4fPsxPP/1EZWUl69evJyYmhi1btvDHH380+73KykpOnDjBwYMHiY2N1eobNgrleMXa2loyMjKwtLRUB+3Ly8sxMjJq010/BQUFZGVlER4eTlVVFa+++qr6TFRWVhIXF0dgYCDp6enk5uaydOlSreqBJ598ks2bN1+1u+l2DeJeqel4hlLHzZw5U01bbm4uISEheHh48K9//Utv4w3w3zyorKykvLwcKyurqyYh/vjjD8rKypgxY8Y1F16Ul5djYWFBVVWVulv0wQcfbPNJRqXeLioqIiIigsuXL6sLwD/77DP190pKSvjxxx/p0KEDr7zyyi3/DpuSx4WFhezatYuJEyfSuXNnvYV/o6PAExMT6datGwYGBuqi6Xbt2uHs7Kz3cYQrKdet/LegoIDk5GSSkpKwtbXlscceU9NQWFhISEgIAQEBHD58mPnz5zNlyhS9PKPFxcWkpaVRWVmp7nStrq6mtLQUBweHVuWDcpqOcuSlmZkZFRUVREVF3fRvm8ZXV1dHVFQU586dIy4uDgsLi2ZlV1/Ky8tJTEwkISEBHx8fZs6cSf/+/W+Yv03bnvDf4+7Cw8OJjY1lyJAh9OnTp83L0ZWU+Nzd3fn555+577771In5oqIiJk6cyFtvvdVsQrGhoYHo6OhWv8MzMjLw9/fnyJEjLF26tFU7pJUdt+fPnycjI4PU1FQ+/PBDnRYVR0ZGqpuK9L04sqqqiv3797Nx40bGjBlDdHQ0zzzzDFOmTLnpMdG5ubnY2dmp75bc3FwAevfurVV5uaMnw0pLS1mzZg0RERHEx8cTEBBAQUEBgE7flWj6Mj98+DCRkZFMnz5d76vElBuYmZlJcHAwu3fvZvr06TzxxBPNfn4zubm5HDlyhHbt2qmN+mtdT0vTFR0dzfbt2wkKCmLhwoXNVoTdKEzl70+fPs2ePXvw9vbmt99+Y9CgQc06ya1RV1dHZGQk69atw9XVlTfffFONs6XHOCjXUFdXh7+/PxcuXGDq1Kk4ODhQVVVFaWmp3o5wKC0t5amnnmLjxo3XXOWh73ONlcbM9u3bCQgI4NSpU6xatYqHH36YpKQkevXq1ax8NT2uUxn8XrRokVYrxpqe4b9z506ioqKwsbHhu+++o6SkpE13uyjXEBUVxdatW0lJSaFr1658//33JCcn0759e73H3/T7EGfPniU0NFT9vhU0dh7NzMy0eu6OHTvGI4880uzfamtriY2NJTMzk65du+qlw+zp6UlYWBgpKSksXry4Tc88b2hoIDU1lYMHD/Loo4/Sr18/ampqKC4ubvHztG7dOg4ePMjly5c5cOAAlpaW6hGK0Pw7AA0NDXh5eWFkZMSIESOwsLCgvr6e8vJyvU+GakOJLyIigg0bNmBubk5SUhJz587l2LFjODo68tZbb92y9NxM02/inD9/nnPnzvHCCy+oZ5DrQqmPfH198fT0JCQkhJkzZzJ58mSKioqwtbXV2/2pr69n2bJlDB06lL/97W/k5eXRo0cP9b3z97//ne+///66uw6UfDhz5gx+fn54e3vzww8/qB9L1kf6lAHK0NBQjh49ytSpUxk7dmyrwgkODmbXrl14e3uzdu1ahgwZ0qq8XL58Oenp6WRnZ7N+/XoaGhowNjZu0UTn+++/rx73NGzYMKKioli8eHGrdgU3/Rbkzp07CQgIoG/fvixatKjN3yvQuLDIwsKi2YBXWVkZtbW1jBs3Djc3N5ydnW+Y1zU1Naxdu5aDBw/SrVs3unTpQt++fenfv79W37Bzd3dn48aNVFdXs3HjxmbfYGyNiooKfv/9dwYOHEhFRQUDBw7ExsaG0tJSkpKSePvtt9m+ffstmZRvuhvRz8+PhIQEJk2axNChQykvL1ePZr548SIlJSXs3buX8ePHM2jQIOrq6igrK8PGxqbF8ebn55OUlER1dbX63QlALVM32+m3Zs0afv31V/r06cM///lPDh48iIGBAV9++aVO+aHIzs7m7Nmz1NXV8fTTT1/VQdSlnmy6YCQmJobIyEiefvpprKysKC0tJS8vr0WTi/DffNm5cydpaWl89NFH1/y9goICtV+mhF9RUYGPjw87d+5k6tSpat9Hn5quar9w4QJubm5MnDhRvfdlZWU6HU3Y9NstZ8+eZevWrUydOlU9AvXKTn5RURFbtmzB3d2dyZMn069fP/bu3Yurqyuvv/66bhd7BeW9+8EHH9C3b188PT3p0KEDBQUFFBcX889//pPHHnus2f3OyMjg008/ZePGjepxhN27d7/ud1p1VVtbi5+fH8uXL+e+++7jiy++uO7vKumsqqrC29ub33//nf79+zNy5MgW7VhSyuy+ffvw8vLi559/xtfXl99++w1HR0c+/fRTvQ9w//DDD5w5c4aBAweSlZVFUFAQZWVljBs3jmnTpvG3v/3tlhzr3XRAeffu3fj7+5OUlES3bt2YO3cuLi4uXLp0iaCgIC5dusTo0aPp0aPHNcO4kcTERDw8PPD09MTBwUFtgzk5OfHII4/odQKmaZpSU1P5+eefqamp4bPPPruqzqmqqlJ3v48ZM0ZdOKntN2xzcnL48ssvWbNmzV9i4guaf/v87Nmz7N69m5kzZzJlyhRqamqora3l+PHjnDhxgvHjx1/V59Qnpc759ddfKS4uVnc5K999VtqC1ypDmzdvJiAgAGhsjxoZGen0uZPWKCgooLq6ms6dOxMbG8uhQ4fIy8tjxowZDBgwoNnvKouKbzUl77Zt28bXX3+Ni4sLb7zxBvfff7/ejtwvLS1tNhBeXV3NunXrOHPmDAkJCfj6+lJWVgZwS080OXPmDDt27CAnJ4cNGzZc9e7OyMjgwoULdO7cmUGDBqn/rq+J1IKCApYvX05MTAxmZmZs3bqV3NxcNBpNi7+B7efnh6WlJa6urlel7eTJk5SWljJhwoQbpl0pC9nZ2Zw7d46QkBDeeustdYxHuY/66F/X1dURFhbGn3/+yeOPP97q054WLFjA3Llz6dKlC5mZmVRXV+P8/78Xejso9efChQu59957mTBhAmlpaZw/f57Nmzfz+uuv8/e//536+nrWrFlDly5dmDRpklZ52rQf6+3trR4VPGnSpBans+k7LDY2lgMHDvDkk0+qx2gWFhZqPfehXHNOTg6nT59m8+bNzJo1i4kTJ7Y4XS1VWlrKzz//zObNm5k/fz6vv/76DfNx06ZN7N27l8LCQry8vDA0NKS+vr5FYxO3bmr1FlI+nH369GkuX77MG2+8oX48PjIyktWrV+sUvjJ/+Omnn1JYWIibmxvx8fFA49b+nJwcncK/Mp4ff/yR7Oxs6uvrKS4uBmDHjh3ExcXdNIzc3Fz+/e9/4+fnx7fffoupqSmpqamcPXtW/Z3WnCEK8Pnnn6srOZWOwVdffUVsbOwNw1QGEpYtW8YHH3xAt27dsLOzo6Kigs8//1w9crIllHt+8uRJtcNy8uRJoPFbUSdOnGjxdSr5/9VXXxEWFsaaNWsIDAwEIDAwUK8rkAIDAykpKWHx4sVMnTqVTz/9lH379pGVlQWgfotOX5S0b9++ndWrV3PPPfeoO2gWLVpEdHR0s/g0Gg21tbWsWLECGxsbLl68iIWFBcXFxWzevFlt9FyLcm/27t1LdXU1Tk5O6sCzn58fW7Zs0dt1XUm5h3v27GH48OGMHDlSXSGldG71TSlnCxcuJCcnh8DAQKqqqigpKeHAgQNqftysPKalpakfrlY+ZgyN+bht2zb++c9/cvr0aQD1nNzWyMnJYevWrXTq1ImUlBTat29Pbm4u69ato6amplVhXouS/j179rB9+3a8vLzUlc7nzp2jpKREq3CUexoZGYm/vz+bNm2iXbt22NvbExMTw9y5c9U8brqCd8GCBfj4+DBnzhzy8/MpKysjNDRU7Uzd6o6rkkYvLy+GDx/OoEGD0Ggav0/o6enJqVOngMb6S9lxdDsp+bNy5UqKiooICQlRv5e0c+dO9Wi31lDqmv/85z9MmTIFMzMzteOwatUqgoOD9dJQB4iLi+Puu+/mkUcewcbGRj2eSln1fc8999zw2Aklrd999x39+vWjsrISCwsLSktL+emnn7h8+bJO6VT8+OOP5Ofnk5WVpaZ9586dJCcna/X3SjoXL17MrFmzcHBwwNLSkurqar766iv1qK4bUcpoYGAgycnJPP300zQ0NGBtbU1OTo7WRxAoVq5cSVRUlLrL0dHRkdmzZzNq1Cjmz5+vXqc2lLTt2rULQ0NDtY0HcPz4cTZu3NiitLVUz5491cknpU5Svglw7733qp23a5VbJe1nzpzBwsKCn376iSlTptC9e3ciIyPZt2/fTeNPT09n8+bNLF26lMrKSjp27EhMTAzz589XV1a2VFxcHDU1NQwdOpQHH3xQHcixsrJi4MCBDBgw4JbtTlXybcmSJdTU1HD8+HF1IVfTdvaxY8c4cOAAZ86cYffu3UDjuz0vL0/ruJT7l5mZyXfffceSJUtYu3Yt0Pidu/T0dHVA53rtMGXh2ltvvcXHH39M+/bt1Z3+7733Xity4GoVFRUsXbqUAwcOsHz5cmpqasjNzeXs2bMt/jj2jfz73/9m//79rFu3jtjYWKqrq4mPj1cXP7UmDgMDA0pKSkhOTr5m+WzaSVeej19++YW4uDiqq6sJDg4GGts/TfsvulLiWrNmDQEBAVy8eFFdbX348GGd3mtNw//ll1+IjIyktraW0NBQoPFarlzZbWhoqB55fe7cOXbs2MHw4cPb5LhqpR+QlJTErFmzsLOzY8GCBfzwww907dq12bFGSt186tQp7rrrLgwNDdm6dSvLly/n888/x9fXV69pU/Lt+PHjHD58mAkTJhAdHQ00PvPbtm277t+sX7+eo0ePMnz4cIqKivjoo49aNBmtPEv+/v5MmDCBrKwsvLy86N+/P/X19Wo9o08zZsxg7dq1zJ49m9WrVxMUFMS+ffvo1asXhw8fJjw8/JZNhCnfk3r++efV+mblypXqqQ3ff/89gYGBLFmyhMuXL1NXV8eJEyfU3W3apDMrK4vu3buzc+dO5s+fz5gxY3B2diY2NpaFCxeq/UV9UXYc/Otf/+Khhx7i1KlTGBkZcfHiRTZt2qSmff369fzxxx8cPnxYrXP8/f1veoyYUmZSUlJITk5m+vTpuLm5ERYWprc2oa7WrFmDjY0NHTt2xNLSkvr6ejZu3MgXX3xBamoqMTExxMTEAI3HtYeFhek9DUrZCAoKYtiwYVRUVLBixQoOHjyIu7s7qampzX5PeaYDAgI4e/Ysjz/+uHrEufItwbam3NstW7bw008/MXnyZOLj4/ntt9/Ub2O99NJLDB06lAkTJqjjRLdjIgxQJ7NnzJjB9u3bGTZsGMuXL2fUqFG4urqqfcvWioyM5N133wX+e3+UI1PffPNNXFxcMDAwIDIykhUrVuh6OVrLyspixYoVTJgwgdzcXCwtLYmPj1cnv8+ePcsvv/zCwoULWbNmDdB4ao9ydKAulHzw8PDAwcGB+fPnY2tri4GBARcuXOC7775rcZhz5sxh9uzZTJs2jXfeeYdNmzapz+fYsWOZMGECDQ0NN0y78hx9+eWXxMfHc+LECUpKSigtLcXT01Ntz+rybmnaPz1y5AhRUVEcOHAAaByTDQ8Pv2kYyjOWnp5OdHQ0Xbp0ISoqiqlTp7Jw4UJ1PPd2UPKorKyM7t27U1BQQOfOnZk4cSLDhw+noaGBmJgYXnzxRTIyMq6aFL+Rpu3DjIwMzp07p46n7tu3T6u8uzKs9evX4+HhQWhoqLp4oOn7WRvK/Vi1ahWVlZV07txZ7VNt2bKF8+fPax1WSygnDMydO5dly5bh7+/Pr7/+et30nT9/nsDAQFauXImjoyMWFhZERkaqn2LQ1h05Gabw9vZmypQppKenq0eHxcXFqQWmJQMvTSkfWk1OTuaNN97A1dVV/VD6jh07tB7UvRmlgouOjmb27NkYGBioq+/c3d3VB+Zam/uUa1Q+Rvrhhx+qD2h8fDw//vhjq9Ol0WjIz8/HyMiIIUOGqAMlAGfPnr3h7o6mA9nKx7DNzc1xcnLCxMSEiIiIVp1PrYR76tQpxo8fT9euXdWVnQkJCZw5cwb4b75oQ7nPkZGRvPrqq/Tv31/d8rxx40YKCwtbnM7rCQwMZM6cOaxcuZKZM2fSoUMHPD09ee+995g8eTJ79uzRW1xKXsXGxtKjRw8qKiqora1VdzZcunSp2a4I5feDgoLo0aMHU6ZMwd7eHnt7e4qLi3Fzc7vhylnlJRsaGsqLL76ImZmZOnAZEBBAeXk50Prn8UaUl1hKSgpjx47l4sWL6k6Wc+fOqWWtJeXiRpS8Ur67NXv2bGxtbenatSt1dXVs3LhR69UKnTt3bvY9BOVa9u7dywcffMCECRPo06cP0Pjy8/HxaZaGm2naiB02bBiPP/64usIzJSWFY8eOYWxsrHV4N6OUgxMnTjBhwgSGDRumrhzy8vJSB7huFp/yc19fX8aOHUt0dLSaDyUlJWg0jR+YraurU383LS2Nixcv8sUXX+Dq6oqTkxM1NTUsW7ZMb/e+pZT7mZiYyGOPPUZsbCxFRUV89tln2NjYqDv+lN2UoP29bQvKsRv5+fn84x//wM7ODjc3N2pra9m6datOnQllZb5Go1HfpUodERwc3OIzrq8lOzublJQUNm/erC4kUSZ74+Li1PL34Ycf3vAYB/hv3TF27FhsbGzo1KkTNTU1uLu763ycloGBAbW1tWrHUjmGEBqPj9GmnlTSmZiYqB5RYmlpSd++fTExMSE4OLhFu4jOnDnDY489homJifqd0QsXLqiDPNqkyd/fX1005OrqykcffcTOnTuJjIzkyy+/pFu3bi0qQ8o9ioyM5JlnnkGj0aj5dP78+VvyrChpaFpelMktbXh6etK5c2f69OnDU089xfTp05k9e7a6A+RGbTs/Pz8eeOAB9UPV0HjMRFZWFiYmJi26/vj4eAIDA9m0adNVq3h9fHzw9vYG0Pq69EHZTV5WVsasWbNwdHRU2/FbtmxRF9T4+PgwadIkBgwYwAMPPAA0vk+UTqQ2+aDkqbu7O7179262kzs0NJSVK1feNIzy8nKWLFlCXFwckydPZvXq1Xh4eDB9+nSd6wQlff7+/pibm/Pdd9/h7OyMubk5aWlpLF++XC8D5coOpvDwcN555x0sLS255557MDExYdWqVa3q2yjvOXd3dwIDA/nxxx/ZvXs3gYGBJCUlXfP9q/xNSEgIzz77LE5OTurOHh8fHzIyMgD9tNuUOufMmTO88cYbWFtbq+38Q4cOqYvzWlufKNdy7tw59WQJpd1z8uRJMjMz1bZKZGQkmzZtYuDAgSxZsoSPP/6Yr776ihdeeKHNvhWVmpqKtbU1paWlFBYW4uTkRNeuXSkvL1cnvpueqhESEsKwYcPUYyQ9PDyYOnWqOsGn77a0n58fTzzxBJaWlvztb38DGieolYViTeNT8jooKIiXX36ZN998k0WLFuHh4UF+fj6RkZFaxa2UCeW6ly5dSr9+/XjvvfcoLy/X+bu219KhQwdsbGxo166d+j7t06cPb7/9NmPGjGHx4sVqG7+tKO2wadOmcd999zF58mQ2bNhAdHQ0JiYmaDQaioqKiI2NZdGiRdx9993qBNkPP/xARUWF1nE9+OCDPPPMM1hbWzNo0CAeeeQRXnnlFRYsWMD48eM5ffq03gbclDISFBREr169GDZsGP3798fGxgYDAwMOHTqkvvdOnDjB3LlzcXBwUMdMtm/fftPFx8rzYW5uzmuvvcagQYMIDQ3ljz/+YPHixerE2u2g9IcyMjJ49tlnqaioYOjQoRgYGHD06FESExN5+eWXcXV1VXeke3h4qAum9NmWUsZVUlNTuf/++/nll1+499572bJlCykpKVRWVjaLU/mv0gZt164dLi4uAOoJKaC/eudalKP3Dxw4wPjx42nfvj1OTk6EhoZiZWXFmjVrCAkJYc+ePYwZM0Y9meR29S0vzBmRAAAgAElEQVSVNAMMHTqUTz75hBMnTnDu3DkWL16s0ylWDQ0N9O/fX91U0HQh+qRJk8jJyVHvT1JSkjpO2RbjOwolDd7e3owcOZIOHTqoOzrLy8vx8/PD2NiYQ4cOMWrUKObNm6f2Yw4ePKguyNZHOY+IiGD06NGEhISo/ZGYmBj1naFtPlRXV/Pss8+qx0ePGzeOuLg4Pv/8c6ZNm8a//vUvqqqqbtjuU64nISGByspK3n77bWxtbenZsyeGhoasXbtWL98KU9Lg5+fHpEmTGDFiBCNGjAAay4U2bYOm5WjUqFEAHDhwgA8++IBJkyapk2u3awxEOVJXmZz8/PPPOXToEPfeey8bNmzg448/Zs6cOXzzzTfqYlpt2uRKWyM8PJz333+fPn36qOPpf/75J5cuXQK0u26l/ePr68urr75Khw4d1DmDgwcPNltcr226YmJimDp1KoDav/L29r6qntYXJV5zc3PGjx/Ps88+q44zNC0/Tcf8n3jiCRITE9VnPj8/X22LaFsH35GTYUqBcHFxIS4ujoMHD/Lwww8DjS9U5bghXTqPFy5coGfPnlRWVtLQ0ECnTp0oLCyksrJSHZjQh4sXL+Lk5ERubi4VFRX07t2bhoYGSkpK1EHDa12H8m/BwcE8+uijHDt2TJ0ESE5OVgdaW/uCunjxIkOGDFEnr0xMTIiOjsbW1pb27dtf9wFR0lVcXMyAAQM4efKkOsBx+vRpevTogUajaXEjQnmALl++zL333sv58+cZN24c0Nh5Uzq3LRUeHq4OOgB07NiRgoICCgsL9XYsFjRWLuPGjcPBwYFHHnmEt99+m6+//pqFCxfy/PPPqys09dG4Uu6BkZERAwYM4Pfff1c7mYcOHaJr167qNtOm0tPTueeee3Bzc1M7CeHh4Wqj4nplSXkebW1tyc7OJigoSH0e4+LiGD16dLPf0ydlNWD//v0JCAggJSWF0aNHU11dTXJyslq56zvumJgYhg4dir+/v1ofXLhwAUdHx2bl+0b3s6KiQh2QUzrlysSlg4MDMTExarnOzs5W6wNtKeUgMzOTnj17sm3bNkaOHAk0NuiUl6i+GvRKHufn5zNw4EBiY2PVQaGoqCi1Aa1tOJ07d8bW1hZ3d3f+/ve/A40rhq91HI6/vz8PPPAAiYmJaqM0JSUFY2NjTE1Nb0unRVm998ADD7Bx40b1G23KtxNffPFFoHF3r/J83u5jV2JiYnB1dSU4OBhLS0u6du1KUVER1tbWdOjQQaeGUVZWFq6urvj4+NCjRw8sLS1JSkrCxMRELx/wTkxM5Ntvv8XDw4OcnBwOHTpEWFgYJSUlLF++XB301OYYAeU7Sh4eHmq5DQ4OVjuZunb8EhIScHFxISYmBiMjI9q3b6+u6tKmfaGUk7y8PAYNGqR+Pw8aFyB07txZq3KvPGsmJiYYGRnx+++/M2HCBKCxLdX0GLmbWb16tZrH27dvJzExUf2+3MMPP8y8efNaVH4MDAyor6/HxsZG/R6kcoRDXFyc2qFqS9fLv5sdoaXka7t27SgoKFAb7paWlvTq1euGu8qanv3v4uLCsWPHePLJJ4HGjoHSzmtJnXb58mXc3d05ceIE3t7e/Oc//8HLy4uqqir27t2rludbVf80XTQ1cOBAzp07p747U1NTsbe3p3379lRVVVFWVkbfvn1JSEhQ73lcXFyLPg6vXFdUVBT3338/gYGB6qBgXFyc2v660XPd0NCAi4sLc+fOZfHixequfn12Fs+ePcvo0aM5cuSIen2pqalqW1SXeqfpSkvlqEl7e3vMzc1JSUmhpKSkVceCK+GuW7eOtWvXMnDgQIKCgli5ciUrV668ZttLo9FQXl6OgYEBnTt3Jj4+Xm3Pp6amqmVcX+22S5cuYWdnh42NDZcuXVLvfWZm5g37WdpQJhgsLCzo0KED6enpahvl4sWLDB06VP0Gw7Zt29TFYcoCtcuXL7fpqujOnTvzySefUFdXh6urK1988QULFy7E2NgYY2NjtR5R8nrkyJHs2rWLOXPmMHr0aKysrPD19VXbKPqi9OkqKyvp378/gYGBPPXUU0BjGb1WO0/5fEFDQ0OzCWgrKyuysrJaPCn90ksvsXbtWiwsLJg4cSIlJSXExcWpA336cK36wdDQsNlkwKhRo9i+fXubHhWl3OfU1FTmzp3LRx99xNSpUzlx4gSTJk1S26nBwcEMGTLk/3H33nFZl+3///NiI3vIRkBUhixR3APFvTJzZKJpqamlplndad5ly8rSvG/zNsvKlTtxgYioyJIQEFBQhsiUvff8/eHvfX7gk8mFXN59H5/XXzwuruv9PudxHucxXgfp6ekYGBigpqZGQUEBmpqa3apFIkFXV5dZs2axbNky0tLSFGJEl/Zueno6w4cP59atW2KPR0ZGCp0qPz9fBHpWVVUJY3Z2drbc0f5ubm7MmjWL999/nyVLljBhwgT69OmDtbU18PcZc7OysnB2diY2NhZlZWVMTEyoqamhqakJPT09dHV1ycjIEPuqpKRE3AcVfe43NzczfPhwpkyZQkJCArNmzaK+vp6GhgZhT5De2V4OWFpacvbsWV566SXgcYCBpIM+r3FtH4giZfwbGhpSU1PD8OHDSU5OFoEKdnZ2vPPOO+Js/m/WNZIgjUNtbS0hISGsXr2affv2iQDdWbNmibX4LJDJZJSUlIg+S84UW1tbioqKOHv2rKDZvHnzpkLsrZ1BGueKigqcnZ0JDQ0V6zgsLEyc4ffv32fEiBHcuHFD/D87O1vQJXZnDUltcHR0pLy8nPDwcJYuXQo81tukdSrvOKipqfHhhx/i5eUlAmJff/11tm/fzqJFi3B2dkZdXV2uNt+9excvLy/i4+NFwPPdu3cxNDRETU2t2/YPqe9lZWU4OjoSHx8v5j09PV3Ykp7Wd2mf9+zZU5RJ6NGjBzNnzqSsrEzQ5v5dDmaZTMYbb7zBsmXL0NfX548//mDr1q189dVXKCkpMXnyZPT09ITzqisoKCjAyMiIkpISCgoKhPyoqKjoku1HJpNRXl6Ouro6pqamFBQUCBn+8OFD8Vx512BRURFWVlbU19eLvQWPzwZ55lQRmDJlChs2bAA6ytP2dkBVVVX8/f073IO7ei503yX8/zCmTJnCN998Q3l5OdevX+ebb75BV1dXLI7uHFS9evXC2NiYhQsXiovoxYsXhbKqKP5ZQ0NDPDw8WLduHb169SI9PZ3AwEAsLS2FMeivLpPwuP6JRLm1Z88e4LHTafXq1R2+11V4eHjg7+/P4sWLGTp0KBEREVy6dKmDAf1p/ff09OTKlSscOHCACRMmcPjwYYUoNjNmzOCdd97hwYMHosBhVlbWM8+5sbExxsbGLF++XBhEgoODOxgfFJFevW3bNvF8iXZSereDg4NotyKVK3t7e5SVldmzZw/GxsYUFxfT3NzM9OnTgf+ZA2mNjBkzhhMnTnDp0iXWrFlDZGQkZ8+eFQKoMyxevJjt27eLqE5/f3/09PSEgH1eQlVNTY0XXniBzZs3k5qayu7du4VyIBnwFfVu6Tlubm4EBgaye/duXn31VfLz8/Hz8xMHmzS27edTig5WUVGhurqaf/7zn+zatavD89va2vD29uaHH37A2NhYHMqAUHLk7Yv0vXnz5rF//34uXrzIt99+y+XLl7l+/bqgQVDkvNTV1eHj48P7779PbW0tRkZGZGVlUV1dLS6b8r5PMqDHxMQIesGSkhIWL14M0KG+gqurK+fPn+eLL74QtToCAwOFUe3vuKBK607KItDR0UFFRYXp06djZWVFnz59OH36tKhL9N+uafYkuLm5kZiYyDfffIOZmRl3795l9erVDBw4kNbW1k4pG56Gfv36YWFhwdtvv42NjQ3+/v5cunQJb29voPuydvTo0Tg4OPDdd99hbGzMuXPnxBoExHueNs7S50OHDuXAgQOcPHmSRYsWcfXqVc6dO9cl59DTYG1tjZOTE59//jlubm5kZmZy5MgREfkk71h4eHgQFBTExo0bGT9+PBcuXODGjRvCmCfvul+8eDFbtmzhxo0bjBgxgsDAQIqKisSFp7O2NDU10dTUJIIPTp06xfjx48V4fv311yxatKhLGYCS7uPr68vbb79NTk4OYWFhhIeHo6+v/5c13xSJ7pzHRUVFBAcH09jYSG1tLc7Ozpibm2NgYCCXQ3batGmsW7eOmJgYlixZwpEjR0RGD3RNbnt5eWFgYEB+fj7jx48nNTUVf39/jhw5QnFxMZ988gnw3zPuSAEjQ4cOJT4+nq1btzJ9+nRqa2vZs2ePOEebmpoYO3Ysa9asobm5GXV1dZKSkmhoaBCOaXnGQerXwIEDyc7OJjo6mhMnTtDa2sqtW7f4xz/+0eF7T4KWlharVq1i7NixnDx5kjNnzjBv3jwRHNYd2S2918fHhz/++IPg4GC2b98OPD7HZs+eLXdf/wrSb3V0dDAwMODTTz8VBqPg4OAOQU/yyuH29YdKSkrIz8/n1VdfZcmSJZSWlnbI8PrfY6uuro6Pjw+zZ8+mtbWVwsJCEhMTUVJSUkhwRHuoqakxePBg3njjDUxMTKisrOT69etoa2ujq6vb7flTV1dn5MiRzJ8/H3V1dR49ekRcXBxqamr07NmTiIgIDh06RHh4OKNHj+bkyZNYWFjg6OjI9u3bhSPweUBdXV3IykWLFrF//37Mzc154YUXgI5nRG1tLSNHjsTU1FSMWWFhIcXFxQp3UEqYO3cuq1at4tGjRxQWFpKbm0tOTo44w9q/r62tDQ0NDWbOnMmrr77K/PnzcXd359GjRygrK8u1buLi4oRubW9vz5kzZzrUCR0wYECXalF0BplMRlpaGkpKSiQkJJCWloa5uTn3798nLS0NVVVVfH19mTBhwnPJSJMgzfPevXsZO3ascDjMmjWLn3/+maamJlJTU3F0dERbW5svvvhC6DtHjhwRhjZ55ENzczOlpaWoqKjQ0tJCVFSUmMfr16+jqanJ1q1bRaBsdyHt3fHjx/Pll18SExPDm2++SW5uLlevXmXChAniux4eHnz00Ufijn/lyhW0tbWfWldY+lyqr3L69Gnc3NzYtGkTNjY2Qrds35b/NqytrXFzc+Ozzz7DwcGB69evExwczIABA7C1tWXu3Lm0tbXR1NREYGAgmpqaGBkZKfTeUVJSgrKyMrq6umzcuJEbN25gY2ODoaEhP//8s9D/nrSGXn/9dTZu3MjNmzfx8fEhJiaGzMxMcU9VZNmK9pDWZWtrK4aGhvznP/9h0KBBXLhwgYMHD2JgYIC/vz/Dhw/vdga4IiDZ3n766Sfq6+tpbGzk119/Zc+ePdTX17NixQphXP4rPG3OGxoa+Omnn/5U+3Pq1Kl8/fXX5OXlERMTwy+//EJzc/NzCzh+EiZMmMB3331HTEwM77zzDleuXCE6OprVq1fT2trK1KlTOXz4MOnp6QwZMoSamhrS09MFha4i2jhjxgzeeust4uLieO+992hra8PCwkLorF19x2uvvcbkyZNFpuzUqVOZOnWqYDV52t6U/ufg4EB2djY7d+5k9uzZomSH5CRUhP2jpaWFadOmsXz5csrKytDS0iI5OZnKykohx+WRIxMmTKCkpIQHDx7g6+sLPKZF37x5M/D3OZgNDAwYOXIkI0eO5PXXXycyMpL8/Hxqa2tF2YgLFy6wfv16Eewv77NNTU3x9vbmnXfeETX9du/ejbm5uaCzlbffMpkMLy8v1q1bh4GBAU1NTURERKCqqtrlu4ienh6enp688sormJqacufOHaKiojAxMRHBtM9zPtra2jr1JUyYMIEtW7aQkJCAtbU1ly5doqSkRARGyts+5Y8//vhjRTT6/0Voa2szdOhQWltbqa2txcHBgeXLlyuEx1dDQ4OePXsK/vtvv/0WNTU1li1b1iGbo7tQVVXFwsKCrKwsUetLWVmZN954A0NDw04XtrGxMbdv36a4uJiQkBD27duHj48PL7zwQreL8Q4fPhwjIyNqa2s5deoUPj4+LFiwQNApPO3ZKioqjBkzhh49elBXV8ft27eZPXs2U6dORVlZ+Zk3mL29PVVVVZSXl5OQkMD58+dZu3atoHLoan91dXVRU1MjJiYGVVVVfvzxRyoqKli6dKmoPdXdeQ4PDyckJEREa/3vtOXnqTx7eXkxceJE7OzsaGpqYtGiRU+8ZMJjI0lzczOZmZmEhoaSmprK+PHjmTp1qlw1zaQiyXV1dZw7dw4PDw+WLVumEGPDX0F6rqGhIVOmTKFPnz48ePCAqVOn8sorryiEL/lJMDIyori4mNjYWFJSUggJCaFv377Mnz8fTU1NZDIZP/74o7hg9ejRAyUlJdEeZWVlevXqhYmJCa2traJ9qqqqQrnNyMggODiY9PR0Jk+ejIuLCy0tLV3eO1paWqK45oEDBygrK8PX15fhw4d3uo+7ClVVVUxNTbl58yatra0EBwfj5+fH4sWLcXJy6tDXzqCmpsbMmTOxtLSkubmZxsZGUYMQOs6psbExmZmZ3Llzh9raWnbs2IGJiQkLFixAX19f4f3sDJISkZ2djaGhoTCEKykp0dDQQFJSEufPn6elpYX58+dja2v73BUPeaCmpkZLSwtpaWmEhITQ2NhIXV0d+fn5IvDAzs5O0IR0Fe7u7gwcOJDi4mLCw8N55ZVXmDlzJqqqqt2aozt37nD//n3Mzc0ZMWIE48aNY8aMGQwePBgzMzPmzZsnapTJ8w4tLS0MDQ3Jz8/n3r17JCUlCQ53RdR3VFNTQ0dHh9TUVKKjo4mPj8fc3BxfX19x4ZannSoqKowcORI1NTURKTplyhRmz56NioqK3GOqqqqKl5cXJiYmBAYG0rt3b9asWSN3Qejo6GgyMzOZPn06KSkphIWF8eqrrwKPI34/++wzVq1aJff8SsaSnJwc+vbtS79+/ZDJZJw+fRpnZ2dWr1793GjFJBl1/vx5/vjjjw5FuOWFJPP79+9Pnz59iI2N5caNG1y/fp2amhoRVPQ0aGhoMHHiRHR1dcnNzSUuLo5//OMfuLq6AvKfadHR0YSFhWFubs5LL73EgAED8PLywtXVlaFDhyqE5q+rkDIGpTWanZ3NiRMn8Pf3Z8SIEcyZMwdtbW1UVVWxtLTk9u3btLS0EBAQQHBwMCtWrMDe3r5L5wmAubk533zzDXFxccTFxXH58mVsbW1FvabOniVx6xsYGPDDDz/wyy+/MG7cOIUVrTc2NubKlSukpKQQEBCAn58f7u7uzJkzR+jd3YW5uTmZmZlcunSJtrY2Ll++TH5+PosXL+6SjJQgk8n47rvvuHLlCsePH8fDwwMDA4MOdNx/lQHZp08fKisraW1t5fjx46Snp7Nx40bMzMy6PLdPg7q6Oj179hS1V0NDQ8nIyOCNN97A0tKy2/qpsrIy9vb25OfnU1NTI6jJ1q9fj5mZGZaWlowePVrQFEryIDIyEplMxuuvv/7c5Fl2djbffvstN2/exNbWloULF+Ll5SXuNxKtmUwmIywsDH9/f+bPn4+VlRVNTU2UlZUxaNAgLCwsnoseb2lpibm5OS0tLcTFxREaGsqHH36IjY1Nh/dJ+lF+fj5DhgzByMiIhIQEjh49SnNzM+vXr6dnz56drpuAgABcXFzw9/fHz8+P/Px8KioqaG5uxsnJqUuGLnlQU1PD5MmTuXbtmtgXpaWl+Pv7s2LFChwcHBg5ciSamprPVf+Tnn3t2jWcnJxEMIGKigo//vgjvr6+REdHi3pTsbGxREREcPToUaysrJg7d67cto8vvviCgwcP8vPPPxMYGIiKigo7d+4kLy+PwYMH07t3b5ycnJ7pPvM06OrqYmVlRVlZGdnZ2ezevZv58+czffp0VFRU0NbWRklJifPnz1NcXExMTAzx8fH4+vrSu3fvv9TBpc9//fVXkTWjpqbGyJEjOXPmDNnZ2QplDHoWKCkpYWNjQ319PcnJyaSnp+Pg4MC8efPw9PTk0aNH1NTU8O9//5vq6mpWrVolnFOK2tOffvopt2/fFk4xd3d3DA0Nkclk2NjYMHjw4L/Ub3v06IGbmxs9e/bkxIkTyGQyNm7c2K0sp67AxsaGW7duERAQwIABAygoKKCtrQ1nZ2cuXrzIrl272Lt3L87Ozs81g7MzSDr9999/z7p167h79y7vv/8+s2fPprKykokTJ4rA2b9CVFSUMHbX1NSgoqLSIUNPTU2NXr16dZC/2traeHl50dTUREVFBWZmZqxateqZssmfFQYGBlhaWlJaWkpOTg7Xr19nyZIljBo1CplMhp6eHidOnKCyspLAwEAuXLjAmDFjGD16dLfPLun3PXr0YM6cOYwePZrCwkI8PDx46623uvzsoqIi0tPTBYvRlStX+PHHH2lpaWHgwIGifq48MDY2Jj8/n5s3b5KVlcXly5cxNTXF19cXbW1thdg/lJSUsLa25sGDB7S1tXH8+HGRmSjJzr96R0JCAvHx8VhbW1NZWcnQoUMZM2YMmpqalJeX06NHD5Ft+HcEE8hkMm7dusXFixe5ceMGGRkZfPvtt2zdupVBgwYxZMgQZsyYwYgRI+jbt6+gqZc3mwse75/8/HzCwsL45ZdfsLOzY9GiRZiYmHRpbWpoaGBsbExUVBRVVVWEhoYSExPD8uXLu2xHUlZWxtHRUdjUQ0NDaWlpYd26dejr6ytc3ysrKyMjI0NkmMtksk7bqqWlhY+PD+rq6jQ0NNDY2Mg777zT5frGsra/swjJc4A0OY2NjZw/f57m5maGDBmi8MNJek9WVhZZWVnY2NhgYGDwXC4sBQUFmJqaUlFRQUNDQ5dqfUiIiooShgWJHqA7KC0tpbGxkUePHqGjo9NlRS8rK4uKigo0NTVFQVdFoK6uDk1NTbKzs2lpacHExOSZDbPtkZ+fT0xMDKampvTu3VuuyG15ERoaip+fHyUlJVRWVmJhYYGnpyfDhg0TFFyKEjrScxoaGvjjjz/EweXi4tIplWRtbS0lJSWinkBDQ4Pcik5zczN37tyhuLgYJycnLC0thVB+3hkvWVlZREZGkpeXh7OzM97e3l1SJJ4FdXV1NDU10aNHD6KiojAwMBAZcBKuXLnCkCFD+PDDD7l+/ToDBw5k5MiRjBs3rtMM05KSEjIyMsjNzcXJyalbWRBVVVU8evQIMzMzdHV1qaysfK4OSng8PmFhYUKptrW1letdUptqa2u5ffs2xsbGXep7ZGQkRUVF6OjoMHDgwL+twLGEpUuXsnHjxg4RsI2NjdTX1/PgwQMsLS0VQj2jSBQVFQlDdH5+PlZWVty5c4ewsDACAwP55ptvusxJ39bWRlFREampqVRUVODm5iacmorAnj17OHToEMbGxvTu3RsPDw8GDx6Mg4PDM3GmV1RUUF5ejo2NDbW1tSgrKytUpjQ3N5Oenk6fPn0oLi6murr6mXj+CwoKqKmpQSaToa6u3qXIcmmvVVZWEhsbK2g62vdTXsV68+bNJCQkcObMGY4ePUpJSQlvv/028Jgi+OTJk+zevbvL/Xv55Zf55JNPnigDnpf8kvq8adMmRo4cKai7nuWdUiFrc3NzqquriYmJQU1NjWHDhj1R9jc3N6OiosK1a9eoqanB29v7TzpnVzMojxw5QmxsLCoqKmhoaGBhYUGfPn3o16+fyAD5OxzxmZmZ7Nmzh6+++kp89ujRoydmDzY2NhIVFYWmpibW1tZyO2n/Cg8fPiQsLAwjIyO5Mt+Lioo4evQojx494s6dOwwaNIjW1lb8/f25ceOGQjNJ4DH1TGVlJZWVlYJmWtF49OgR165dQ1NTkwkTJjzz3aaqqopFixaxb98+Xn31Vc6cOYO6ujorV65k27Ztf6lLS3upvLyctLQ0evfujYaGhkL0+SehubkZmUwm6nM6OjqKunSKQGNjI6qqqqSnp6OtrS0oiqBjBp0kP0pLS3nw4AG2trbCyaAoSDIiJiaG7du3C2N4ZGQknp6e7Nq164l9T05O5vPPP6e5uZn33ntPIXfJp0HKCGxra6O6uhp9ff1O9aFly5bx+eefY2pqSm1tbYf10hX5HBoaSnR0NAUFBTQ2NqKjo4O6ujqrVq1S6P2voKCAjz76iIKCApYvX87UqVOprq5m3rx5+Pv7K+w98iIqKoo1a9bg4+ODg4MD6urqHDx4kICAAF566SX27NmDqakp2dnZ1NbWUl5ejpubW5dk3HvvvUdaWhrffPMNRkZG6OnpsXDhQtatW6dwus32aGhoQF1dnZaWFoqLizE0NBR2kfaQzpOKigpGjBjRaTCDtK4WLlzI3r17+eKLLxg7diwTJ07k3XffxdPTkwULFvytAW2NjY0kJSVhZ2eHnp6e0CU++ugj3n//fZSUlMjMzMTExARdXV2FZ1q1tbURFBREQkIC9+/fp7a2FkNDQxHM5ODg8KfSE9K4NjU1kZeXR05ODtra2s8UgKQIFBYW4ufnR1JSEmZmZkyaNAkPDw9hc7x06RKenp5YWVn9rXNdV1fHsmXLOHLkCDNnzuS3335DW1ublStX8vnnn3dqt9m1axdLly7lxx9/pLi4mAEDBmBnZ4eZmZnICoGO59bly5eFo6a7+tezQqJrVVVVpb6+/on7trS0lMTERBobG9HW1hasUd2BNA737t0TAdBr16595nMiISGB9evXiwD0F198EUNDQ0pLSxk2bBiOjo5dWluNjY2CXjA0NBQDA4NnLh3TGaqqqoiLixNlLORZC3FxcbS0tFBYWMjmzZsZMWIEAwYMYPDgwfTq1Qs9Pb3n0tbOIM1rQkICO3bswNTUVJQGiouLE5nGioBERaivr09NTQ2amprPfG9oT3kulYl5FltXa2srpaWl6OvrCypxRdtOJV304sWLpKSkcObMGdauXcucOXN4+PAh5ubmf3qnNC+tra2EhISgpKREz5496dev3zPXwPs/R5MoKTVr1gcjx7QAACAASURBVKwRPOFffvkl9vb2/Pvf/+4SDc//hnS4FRUV4efnx++//87gwYMZPHgwVlZWCjO8SO/Jysri7NmzXL9+nZycHAYPHszrr7/eqeNIWiipqans3bsXLS0t+vTpg7e3d6cRIU+DtGijoqI4dOgQsbGxDB48GD09PebPn/8nY/9f/d7Pz08UODc2NsbIyIiVK1cKmo1nhb+/P4cPHyY7O5vBgwfz0ksvPZMTVBr/8vJyQkJCOHr0KA4ODkydOvW5HCCjRo1iwIABlJWVkZeXR3JyMnfv3iU4OJjCwkJ27twpN195Z5BSTg8ePChSZ+3t7bl27RoTJ05k4cKFHb4vzZlk1MnJyaG0tJThw4ezcuVKud5ZW1vLpk2bKC4uxsbGhlOnTjFgwADeeOMN4PlEekh7ICcnh/feew9jY2Pc3Ny4evUq0dHRvPfee53WdekqpLEKDQ0lPj6eU6dO8c477zBjxgxKS0vF5UOCFOmya9cu7t69S3h4ODdu3ODXX3+lpqaGwMDADkaQhoYGrl69ys2bN+nZsydvvfXWM69HaY0fPnyYkJAQ1NTUqK+vx8XF5bnNS0tLC/Hx8Vy6dAljY2OGDRuGg4PDM83Dp59+Sk5ODgkJCchkMtzd3fHy8mLp0qVoaWl16GNFRQUnTpwgJSWFwYMHM2TIkG7JQUXh0aNHVFRU0L9/fyorK/n999/5448/SElJYfLkybz22msKNbo8K6RxTEhI4NSpUxQWFtLY2Ii+vj7e3t6oqanh4uKCi4uL3DJBgrRnbty4wU8//URLSwv9+/cnODiYGTNmdKCX6Q5Wr17N6tWrSU5OJiQkhJCQEA4dOoS+vj6WlpZ8+OGHnSrt7WVhaGgocXFxFBUV4e3tzdq1a7GxselWG6Vxjo+P59q1a1y9epX+/fuzbds2WlpaKC0tlWs9SO0MCgri/PnzREVFYWlpiZWVFcuWLZO7lpK0/7ds2YKlpSUBAQGMGzcOa2trbt26xcCBA+U2kI8dO1bU+qmrqxN1saZOnUpsbGyXzv7a2lpOnDhBcXGxqBfVHqtWreKrr756bo5u6RKqo6NDYmIi7u7umJqaPtGo9jTs2bOHBw8ekJuby549e1BXV2f48OHCCP0kY5R0fly9epWTJ0+ioqKCpaUl48aNY+LEiQwYMKDLRqwXX3wRLy8vCgoKSEtLIzc3l/T0dK5cuQLA22+//V81bmRnZ1NVVUV4ePifjDbSRXvq1Kk0NjZy8+ZNoeNOnDiRSZMmdXneJV1BylgsKytDV1eX2bNnd2o0kn5bUlLCo0ePmDx5MtOnTxf8+h9//HG3z1FJLqSmpnL8+HEA9PX18fHx6XKd0M7eUVpaSkxMjKAGmzJlyjOtKfifsYmJiWHAgAHIZDKMjY3R0NDg4cOHFBUV/aU8q66u5uzZs+zdu5e+ffvi6emJkZGRQs9DqX2lpaVcu3aN+Ph4NDU1cXd3F/UVFfH8yspKLly4wIEDB2hpacHb25s5c+aIzCtp7AsKCjh//ryom+Pi4oK7u/tzof+SnhkVFcWQIUNYv369aMsHH3zAuXPnBE1eezg5OXH48GGOHz/O999/z6xZsxg/fjyamprPJfjgp59+4vz581RVVREQEICKisqfHFzweL1I1L0lJSVCXknf27JlC1u2bOlU15T6INWz3LBhAw0NDaSlpZGUlCQy+RUJU1NT9u7di5+fH8ePHxfBaVKAVGNjo8LvKk/DkCFDRBZuYmIilZWVgt7eyMiIY8eOkZWVhYWFBS4uLoJ2vCv4xz/+wZ49e1iwYAFr165l2rRpFBYWdtsG8CRI+lBERAT+/v4kJCTg6emJt7c3gwYNQkVFRbAH3bx5k8uXL1NVVcXYsWOZNGmSXIZYyRnSs2dPioqKuH//vqAWzsjIeC6U8/JAki23b9/m5MmTpKenk5aWhoWFBdOmTaNXr17cv39f7BMHBwfa2tr47bffWLBggUKdOTKZjIkTJzJx4kTg8TkfExNDbGwssbGx1NfX4+DgwIYNG8SYS+P17bffEh4ejoODA6qqqly9epXVq1c/96DW9jItOzubgoIC5s+fj5KSEmfPnmXLli14eHjg5OQkWCwk/J0sHjU1Nbz88stUV1fj7u7O6dOncXJyIiUlRa4A5nXr1gEwcuRIoqOjuX79OmfPnsXAwAATExM2bNggMooANmzYIFiDMjIycHFxYceOHd2yt8oLaY2fPn2a4OBgIiMjMTAwYMqUKSxbtkw4xKKjozl37hwGBgasXLlSoUE1MpmM5uZmtm3bJuper1+/XmTTTJw4sUtrNT8/HxUVFZydnenZsyd1dXVYW1szfvx4dHR05HqGJPdu3bpFbGwsJ06cYN26dcyYMUNk2ytqjTY3N3P9+nV27dpF3759GTRoEK6urnIzIrTXY3v16kVERARhYWGcOHGCmpoavvzyS4WVIOgKJHtpcHAws2bNQltbG2VlZRwcHAgPDycxMZFz587h7Ozc5YSQ9tS6+/fvJykpCQsLC3R1dVm4cGGX9AzpWdXV1YSHh3PixAmqq6uZNGkS06ZN69KdSHpWbm4up0+fxs/Pj6qqKgYPHszixYsZMmRIl/rZGaQ1eOTIEdauXcutW7dEyaDDhw8ze/bsv/QtfPzxx2RnZ1NcXAw8vhdt3bpV/L4r+D9FkyhNYmJiIgEBAezfv5+XXnqJlStXkp2dLYyhzwpJeHzyySfU19fz8ssv09zczMGDB7l79y4+Pj4KUXak9+zdu5fs7Gw++OADFi9eTGZmJnFxcXh5eT1VsEqRGkuWLGH48OH06NGD1NRUtm/fTv/+/btdPPPdd9/lhRde4LPPPqNXr17Ex8dz48YNRo0ahYaGxlN/K6W2r169mo8//pgJEyaQl5dHbGwsQ4cO7bLSL8353bt3+eSTT9i8eTNz5swhJycHPz8/PD09u3x5kcb/iy++IC0tjUmTJlFaWsq+ffuorKxUqDAoLCwkOjqafv36oaenh5WVFc7OzgwbNoxhw4bh4uLCgAEDntnb/b8hzcGnn37K119/ja+vrxijs2fP4u7u3uEAkwTVe++9x/jx4/H19WXixIlERERQWFiIu7v7Xx6oUlp0UFAQSUlJ/Otf/8LT0xNzc3P8/PyQyWQi803RkNaFVHPpyy+/pF+/fvTu3ZvAwEDKy8tFcWRFQRrbLVu24OPjQ1paGuPGjcPKykrUZZOcWyEhIfzrX/+itbUVfX19bG1tGThwILNmzWL+/PkMGTJEGGQkqpALFy4QERFBaWkpFRUVTJ48mcjISJKTk7ucNSLJiPfff59169YxduxY3NzcuHz5skjtV5SiJK2D4OBgvvrqK5ycnCgoKBCc65LslLfd5eXlfPvtt5w9e5ZVq1YxceJEmpqaOH/+PFOnThUGemkNrF27VvDUx8bGsnPnToyMjDp13j8vSO2KiooiPz+fKVOmcPz4ccLCwrC3tyc3NxcdHR0uXbrEkCFDnlskvLxof+6ZmZkxY8YMampq+OOPPzh9+jRHjx7Fz8+P+/fvY2pq2qUsX4kO7bPPPmPevHls3LgROzs7ysvLOXXqFK6urt2OipfGu7m5GVNTUwYNGsSsWbN45ZVXsP3/iz6PGzeuUxnbXhZOmDCBTZs2MWfOHBISEsjJyXlmo7EEaZx3795Nnz59UFJSonfv3nh6enL8+HGKi4tFzbCnof05u3DhQr788kuGDx9Oamoqt2/fZtiwYXJnPOTk5HD27Fk+//xzzp07x5o1a5DJZHzwwQe8+OKLcj+nd+/ezJ49m5UrVzJz5kwaGxs5ffo0X331FdHR0WzcuFHueW5tbaWxsZGDBw+Sm5vLsWPHuHnzJg0NDZSVlREQEMCSJUvketazoqioiOPHj3Pv3j3y8/OFQt7Y2PjUfkhrMT4+nnPnzjFjxgyioqJYsmQJubm57N69u1MHcHNzM7GxsSxbtox33nkHCwsLjhw5wsGDB7l8+TLDhg2Tm9awra0NNTU19PX10dDQYNSoUQwdOhQHBwcRVKAoh7S8yMzMZOfOnRw/fpySkhKKiopoa2vD2tqaX375hcLCQkaMGMG5c+f49ddf8fX1xcjIiNOnTxMREcGECRO6pC/JZDLq6upYv349FRUVWFtbU1payu+//46bm9tTjaHHjh3DxsYGFRUVfHx86NevH7169aJv376Cfre7kJ6xatUqzMzM0NfXp66ujj179mBhYfFMF7//DUn2bNu2jejoaAYMGIC6ujq///47Ghoa9O3bt8vOjvZGxMbGRq5du8bAgQNxd3fHz88PJSUlfHx8OlChSX8fO3aMkJAQvvzyS+zs7AgPD+fMmTPC8aIoyGQyDhw4wIULF/D09ERdXZ3ExET8/f071KV6Fkhj+ttvv3Ht2jU+++wzRo8eTXR0NOHh4YwZM6YDteWaNWvo2bMn//nPf0hKSuLAgQP88ccfzyWDfefOndTU1JCamsqgQYPEGpLJZFy6dImePXvi5ub2RJq60tJSBgwYQFJSEt9//z1aWlrC2akItL/TSU63y5cvs2jRIu7evctHH33EzJkzO7yvvr6ewsJCfv75Z0pKSggLC+P27du0tbWRlZXFlStXmDdvXqdruKqqCnV1dU6dOkVaWpqod2NmZoadnR2urq4Kz/JsampCWVmZ3r17o6+vT3BwMBcvXuTNN9/Ezs7uudVC+itkZmZia2uLl5cXkyZNYubMmRgZGaGkpERAQACqqqrY2NigqanJoUOHKCgowMvLq0v3BU1NTUaPHs2wYcMIDg7m6NGjaGhoMHfuXJqbmxXqSJCetXjxYiZNmoSPjw95eXn4+fnx+eefM3ToUKysrPjtt984c+YMQ4cOxdXVlevXr5OZmcnQoUPlkn3KysqoqKjw/fff09bWhp2dHSdPnqSsrEzUMf67nGH/+te/0NXV5eOPP2bt2rWUl5cTFBREUFAQTU1NlJaWkpeXh5GREffu3cPPz48ZM2Yo3MEt1RWWKOscHR0ZO3YsM2fOxN3dnaCgIBoaGjoEbEl0lidPnsTNzQ0TExMuXLggnKfPc0yl8fvmm2/w8/MjMTGRy5cvc+DAAZKSknjppZcwMTHBz8+P4ODgLuseikZNTQ1qamr06NFDBJqqqKjw5ZdfivrOnQV6SPf1qqoqTExMGDlyJNOmTRMsBFI2evug+6NHj/Lzzz/j6+vLqlWrSE9P5+HDh88t+6g9ZDIZLS0trF69mo0bN/Lxxx/j7OzM1atXaWtro3///qSkpLB7924sLCwICgritddeIyUlhaCgoG4HmkvjFRkZKey1ly9fxtfXl0ePHvH555+zaNGiLj1TQ0ODWbNmoaWlRXl5OWVlZcTFxREVFcWNGzcwNjaW654t2aMGDx7Mw4cPGT58OLa2tqJER3dZZ6S+X7p0iV9//ZVVq1ahq6tLYGAgx48fZ9KkSZ2el6Wlpaxbtw5lZWVMTU2xtrYWtjBfX1/69etH//79n1vATWeQyWTs3buXl156iXPnzjF27Fh69+4tslQLCgoICwvj999/p1+/fnKPqSRbfvrpJ0pKSliwYAH9+/cnNTUVPz8/Bg0aJHdGnPSs48ePc/r0aebPn4+HhwdXr14lOTmZ0aNHy32mSs/64YcfOlAJP3z4kIiICIYOHapwHbywsJCAgADefvttDh8+LIKztm3bxquvvvqn90lOxJ07d3LmzBleeeUVJk+eTHZ2tgi67eo6+T+VGSZ5cbOysjoURAXo168fZ86cEd97FmVLUkorKip46623sLa2xsfHhxUrVrBo0SISExPljrp+GqS25ebm8v777wtKuXfffZcFCxZw8+ZNJkyY8FTBkJiYiJGREStWrBCfBQUFcfr0aVEU+1nb1bdvX0aNGoW6ujpubm64ubkxc+ZM8vLynrp5JaPDoEGDhFPSyMiIDRs24O3tTU1NjTDAyAtpDJKTk5k5c6aILHN0dOT777/np59+Ytu2bV0SotI8Z2VlsXXrVhHxv2rVKt5++23u3bsnl1FSHlRVVfH7779TVFSEj4+PoE6RDFS2trYKj85qbGzEy8uL2tpaUbtk/PjxbNu27YlO1ry8PPT19Xn55ZfFZytXruTtt99m0aJFnSp/Dx8+ZOTIkWhra6OtrY2pqSlpaWncuXOHF198scu0TvL2Ex4rh1IWkI6ODk5OTiITB/hTtlZ331lWVkZdXR3jx4/n+++/FzQyV69eFcVApbbo6Ohw5swZfvzxR/T09HBxcWHYsGF4eHjg5eUl5JTUl7CwMJYuXUpMTAwNDQ3A45T3trY2Jk6cKLdck/bCnTt3sLOzExd+eFww84MPPuhyho88SEhI4JVXXmHBggWUl5dTVVVFZmam+L+866C2tpZ58+bR0tICPDa0v/HGGyKjTYKSkhKNjY3k5+ezb98+8XliYiK7d+9mwoQJfwtNojSfvXv3pr6+njNnznDr1i3hWBk1ahTvvvsub775JpGRkc/lUtoVSHNSWFjI7t27kclk7Nq1i3379jF37lzWr19PQUEBBw8eZOjQofTv31/utSg9W1dXF1dXV1RUVLCxsWHFihVcvXqV6upqQDGUd/7+/uzcuZOxY8cyaNAgPD09GT58eJfOw9LSUkxMTEQNIR0dHd544w2WLFnC4sWLu0WrJY1FcnIyn332GdevX2fOnDnAY3rPBQsWAJ3rL5KMd3FxEY4Ma2tr4aQvLS3t1MHanh7Cy8uLhw8fCg7u5ORkceGWZ16kjIeMjAxsbW1ZtGgRb7/9tqBJTExM7NJ5KmVQ/fOf/6S6uppevXpx8eJFfvvtNxobG1m6dKncz3oWtLW10bNnT7Zt2yZq26WkpBAREYG7u/tT+yKNl6TDGRkZCeNEUlISubm5wJPnWPosPDyc2NhYUZz7hRdewMLCgri4OGQyGSdOnOC9997rUp9CQkI4deoUtra29OrVC1dXV0aPHt1lfUwRcHNzY//+/axcuRJvb29iY2PZunUr+fn59OnTR9CSJCcn8/LLLzNt2jQAlixZwvr16/Hz82P+/PlyvUuaj/DwcPT19dm9e7eg0Nq7dy+HDx9m06ZNT/ytZAjQ1dXlq6++oqWlBVNTU0EzaWdnp7AsEilTRSoiDo/Hyc/Pj7Fjx3ZbR5RkT2JiIseOHUNdXZ3Gxkb69OnD/v37u0VbO2rUKOLi4jhz5gwjRowgKyuLnJwcli1bBnQ0EEv9KC4uZt68eTg6OuLo6Mi4ceP44IMPuHDhAosXL1bIedDU1ISamhrZ2dls3boVJycnysrKRD0hKar9We+L0m+kvkpyYdCgQaxevZoLFy6IdZqbm0t9fT1r1qwhLCyM48ePs2/fPkJCQhRec6W+vp6amhpOnjxJcXExp0+fZs6cOcI5p6amJu7PysrKYqwPHDhARkYGGRkZlJWVMXLkSLy9vTlx4gRRUVFs375d7qj1p6F9fbKxY8eSnJwsZGRVVZUI9mg/L7q6ukyaNIn8/HzU1dUxMzMjPDycH3/8kaqqKl555RXgf2wEf4WrV6+yfft26urqmDlzJoWFhcLouGXLFlxcXBR+vkg6g5qaGuPHj6dv377o6emxZcsWXnvtNRYvXvxfM7D/9NNPhIeHc+fOHWxsbJg0aRKjRo3C0dERXV1dCgsL2b9/v/j+jBkzePfddykoKBD6gbyQDNWvvPIKP//8M0VFRcTExMhVL7OrKCoqwtPTUzCfjB8/ntbWVvLy8kSGZmRkJJs2bcLJyYmmpib69+/Pli1bCAkJkZuK1tvbm7KyMi5evMihQ4cwMTER58ffQZsnrfWqqiref/99QY+4fPlyUfu1T58+aGhoEBERwcWLF8nLyxN6p6LvHe3739bWJui8lJSU6NevHwMHDvwTdWxGRgaDBw+mR48e9OjRA2tra/T09Pj666958803n+u4SuN3/fp1PvzwQ7S0tCgpKWHbtm307t2b0aNH07t3b3x9fVm7di23b9/uVgBFd/HBBx+wY8cOLl68SN++fbG1tWX06NFERkbS3Nws1/1ampOAgACOHj3KwIED8fT0xMnJicmTJzN58mTxPZlMxsOHD5k8ebKQYzKZDA8PDw4dOsTKlSuf6/y0d8iNGDGCoUOH0tLSwpAhQ1BTU2PLli3MmzePsLAwhg8fjqenJ/n5+cBjnSooKIiXX365W22U9sf9+/fx8PDg7NmzIqu3/dklr32jsbGRbdu2iaDNCRMmkJOTI/Sm1NRUufRKJSUlamtrKSsrY/r06fz888/CHhUYGNghi/FZIfU9PT2dGTNmCLajhQsX8sknn+Dn58drr73W6XN0dXXZtWsXGzZswMLCgpEjRzJp0iRGjBjBqFGj/vS+/xaUlJRobm5m/vz5mJqaYmZmxrlz55g8eTL5+fns3bsXAwMDkpOTuXfvXpcSTaT19uDBA1avXi30w2HDhvHWW2+RkJCAtbW1XDJY+n9CQgJr1qwRMmj06NGsWbOGgIAApk+f3qV2VVVVsXz5cqF/vv/++yxdupSQkBBmzZqlkLOhPTtD//79OXLkiMjqT0lJQU9PD0NDwyfWhi0oKGDWrFniWYaGhkyZMoXNmzfz1ltvdbl9/6ecYdIkSkV+y8rKBNdqRkaGUIifpUxa+0nT0tLi4cOHHRZ+SUmJwmqcyGQyUZ/pwoULLFy4UGQ7KCsrP9XhJgncsrIy3NzcKCsrE5k+ra2tlJSUdPievJAWYFJSEnFxcezfv593330XeLyZJUfDXy1A6feRkZEEBASgra3Nxo0bAbh9+zYeHh6YmJjQ1NT0TAbFpKQkETEuKVMNDQ0idbW5ublLz5XmWTK4w+MilO0pOBQBOzs75s6dy9mzZ8nJyWHQoEFYWVmhrq6OgYGBqH+mp6fXbcN9e0Pc77//zt27d9mwYQPq6urcu3ePwYMHd6gpI81Zbm4ulZWVnDp1irFjx2JkZIRMJqNnz55oamr+5VqS9mNtbS0BAQFoaGiIgrnJycnCiPU8FCVpDebk5HDq1Clqa2txcnKisbGRe/fuCdoKRV8y8/PzRfFtybGZlZWFlpYWpqamYg48PT3x9PSktraWjIwMkpKSSExM5IcffiAzM5Nvv/1WXAql8amsrMTY2Jhr164Jo1h6enqXsyDaUzuVlZVx5MgRvL29sbS0JDs7W1xqFaXEtj9cJZmpr6+Pvr4+1tbWgsu6M3kktUeqrfPhhx+ydOlSTE1N0dLS6jCX0ncfPnzIkCFDKC8vF9kSJiYmpKWlPfe6aJ2hd+/eTJs2jcOHD1NWVsa9e/dwdXVl5cqVKCkpifqB8PzqH3WG9qn8RkZG/Pjjj3h7e9PQ0ICNjQ11dXUsWLCAtrY26urqGD16NCDfnm6fjl9SUsLWrVt566230NXVpbq6mra2NrEHutN3KQty0qRJqKqqEhUVxQ8//EBubi7m5uYicu5pkNZTSkoK2dnZHDt2jOnTp6OtrU1zczO9evVCV1e328716upqIT9yc3PFWV9QUCC47Z82tlI7Y2JiCA0NZd++fbz11lvA48tanz59sLKy6rSd0nhbWVnx4MEDvv76a0Fv4+/vL9rVmXER4IcffiA/Px8zMzMCAwNJSUlhy5YtaGlpoaysjKur6zOtb0NDQxGR3t651v7Mfh6Q2pmfn09NTQ0rVqygra2NjIwMoVv+leyUPmttbUVLS4vffvtNXEpjYmKEY/ZJOqr0W6lAcl5enpAPOTk55OfnM3PmzC7VXpP6YmFhwejRoykuLiYlJYULFy7Qo0cPVqxY8V+J7m0PaS3s3bsXeFwXrq2tjby8PBobG0VdkdLS0j/pdLW1tSIyUx4dt31NEhsbGxobG1FSUhIZpMHBwcCTg2aUlJR4+eWXaWxsxMfHh8LCQvLy8rh79y4xMTHo6OiwZcuWbo2F1IfKykpcXV0FPZmKigrm5uY8evQIJSWlbp3V7eWwoaEhNTU1qKurC+P8jh07hMH4WfHmm28yZswYLl68iLa2Np988olwMrRvd/tssv/tsC8pKRH6vDxy52mora1lw4YN2NnZifqrTk5OGBgYYGBg0CHbrrtGsqysLGGsk9DU1CQoyeAxXaGHhwd37twR/R42bBh5eXkKz0TS0NBg48aNVFRUUFBQwO3bt7l79y5fffUVqampjBw5skPUueQ0lO63b7zxhtDZJF1x+fLlhIaGdqif+KyQxtvMzIy2tjb8/f2FjLxy5cpTZeSrr74q9qq3tzdNTU2iLjF0rmPOmjULV1dX1q9fz507dxg3bhyampoMHjyY4uJicZYqCikpKbS2tuLg4AA8XjM2NjZ88sknDB8+nIiIiOfuCJP2/+3btwkNDWXdunV8/vnnTJ48me+++45///vfJCQkiAyw0NBQhg0bhoqKCmZmZmRlZXXJEZabm4u+vr4ItHB1dWXnzp2cPHmSZcuWcfToUYUFm0ryMzY2lqamJh48eCD2tpKSkljTkvyU7CNS+YDW1lYh++TRUVJTUxk3bhxz584V9ckk/F20eaWlpeTm5vL111+zdOlSIUN1dHT46quvMDY2FvXoCwoK0NbWFoEAz7PNT5LhU6ZMEed3e2dYYmIiR44cEYEfN27cENRqz+te1N7Z4+rqKgzMTU1N2NraMn78+A7nRG5u7t9+X9uwYQMymYxDhw5RXl6Orq4uTk5ODBkyBA8PD7nKA7QPyjM1NSUvL4+kpCTS09MZPXo0Y8aMYdq0aaJ/oaGhXLx4kZaWFmbPno2BgQEZGRnMnTsXeL5OYGkNRUdHc+/ePSIjI8U9qaSkRNSWS01NZeHChZw7d06w0Ny5c0fc+57FJixBGocxY8Zw6dIlgoKC2Lx5M9nZ2Zw7d67LNLJqamosWrSIwMBA9u/fz+zZs7GzsxOyqiu0uTk5OfTv35+wsDC0tLTQ0dGhqKgIVVVVhZSKkPpeUVHxp0SIoqIiMf5P08UNDQ355ptvgMeBOleuXMHfVQxBMQAAIABJREFU35+NGzdSVlbG66+/LmzN/02Ulpaip6eHiooKU6dOpbW1VTCtHDhwgNraWj755BOmT5/O1KlTGThwYJcZKVpaWjAxMeHUqVMsXrwYQ0NDkW3WlTOwvY2toqJCfK6trU1bW9ufzrnO2tXQ0MD9+/e5cuVKhzpcku0SFCPjpN87Ojri7OzMr7/+iru7O3v37uX27dvC5vCks+LYsWNcunQJNTU1VqxYQV1dHfHx8SJpQ9Jb5cX/KWeYNLCzZs3C0tKSu3fvsnHjRh48eICdnR36+vodDAjP8uzU1FQCAwMJCgpi2LBhuLm5UVNTw7x58xTKJS4Vdz1+/DhxcXHCQ21iYiKcMU9aiNKC+f7770lISCAsLIz58+fT3NxMYWEh//jHP/7yt0+DtIGam5tRU1Pj5MmTHD16FEtLS3r06CEiif7qudLvJaPL5cuXOXToEDo6Oujr6wsPr6qqapc2mXTRaW5u5uLFi9y8eRMnJyc0NTWpqanho48+Es/tCjIyMrh16xYLFixgypQpODo6UlNTw9ixY+XmwZW3/aNGjcLc3JzTp0/z66+/oquri5GREQ8ePKCuro758+cLI3N3II2pi4sLGzZsIDExkc2bN1NbW4uKigozZ84UfOI9evTokKGopaXF77//TmJiIhkZGaioqAi6yKddMOvq6mhqaqJPnz5cvXpV8OwOGjQIDQ0NHj161G1Dy9Pe7eHhgZWVFffv3yc2NlZc9tPT06mvr1dYzQ14fDg4Ojri4ODAf/7zHwYOHMjJkycJCwsTfMetra0UFRWxa9cuwassZavNnTuX0tJSUlJScHV1/dPzFy9ezBdffMHDhw+xs7PDz8+P0tJSYayUV+GUvnfv3j3U1NQIDg4mIyOD5ORkdHR0mDBhAg0NDQq9hFdWVhIfHy+ojoYOHSpqd3W13f/85z+xt7cnIyOD1atXi7pPmzZt+pNsvHr1KocOHSIiIgJfX1+srKy4d+8eb775Zofv/V2YOXMmtra2IpLFwsKCqKgoDh48iL29vaBw+Lsu0tL4JCUlCWqVhw8foqKiwpIlSzA1NSU/P5+qqiquXbvGBx980OVnV1dXY25uTlFRETt27KCtrY3q6mqmTp1Kdna2OCO62w91dXWmTJnClClTgMeGtf379wsl/mnnjjT+DQ0NWFpaChqvoqIi1NXVxQWsO3umra0NbW1tZsyYwe7du9HT0+O3334jNDSUgQMHoqWl1aky276elbOzMydPnmT//v0YGRmhq6vLjBkzRDvlOWfd3Ny4f/8++fn5XL16latXr2JqaioyzuVZl/Hx8Rw5cgQNDQ0aGxtZtWoVhYWF9OnTR7RB3n3Y3kCxdu1aAgICKC8vZ8eOHVhbW7NkyZJuZefJi82bNyOTyYiOjub48eMi2EZy9nc2Lq+++iqffvop165dY8SIEezcubNDYMPTfj9gwABOnz7NqlWr6N+/P3V1dVRWVrJs2TJBq9ZVSBk4LS0t5OTkcPHiReLj47F9hpqr3YG0vvPz8zl69Cg3b94U9V3a01OXlZWRkZFBQEAAZ8+eZeDAgaiqqmJgYMC4ceOAzg3f8D/jHBQURHR0NDKZjDFjxpCVlcXt27dFNOWT9rVkdA8MDKRXr16MGzeOuro6Hj16REpKikIDSSQKzKysLObOnUtxcTHZ2dksX74c6J4xR0JmZia5ubksXbqUF198ES0tLUpLS3F3d++yXGtfLysrK0tk1L777ruitt5fyZ+SkhLS0tK4cuUKJ06cYNCgQSgrK9OnTx/hCOkuk0B9fT2jRo2itLQUDQ0NvvjiC65cuYKtrS39+/fH3d292/S88Pge19rayq5duzh37hy9e/dGTU0NQ0PDDrpnv379cHBwoLW1FUNDQ+Lj4zl27Nhzy8zU0NBAQ0MDU1NTEdhQVVVFfHy8GNvW1lYqKio4fPgw9vb29O/fn6FDh6KhofGn8TczMxMOHUXBx8eH9evXExMTg0z2mG69pKREUM5Je0NaR2VlZdy6dYsbN26goqKCvb09Q4YMwd7eXu710tbWhr29Pfv27RP3ktjYWCIiInBxcRGOeEXhhx9+wNXVFXt7e1RVVQkJCSElJQUrKyt8fHyEMfF5GtclQ1NISAhTp06ltLQUZ2dnli1bhoaGhnCMXrlyhd9++42oqCjmz5+PmpoamZmZYj7kMbTdunWL8+fPC+NmU1MT4eHhAMyePRsPDw+F1OuTIM17fn4+kZGRhIaG4uLiwqhRoxg9ejSOjo60tbWJOpWbN2/mhRdeQF9fn/r6evT19Ts4Kv8K5eXlfP/996SkpHD//n20tbVZunTpn2pw/x2oqKjAxcWFe/fu8fXXX1NaWkpDQwOmpqbs2LGDbdu2oa2tTVxcHE5OTs/tPi6hrq4OTU3NJ+7J9gHm0loqLy+nZ8+enD9/XlDR9evXj1mzZlFRUfGnQEhFQdoXaWlphIeH8+mnnzJ9+nQcHBxYvHgxH374IREREQwfPpxHjx6hpaUlHAx/171S0tdOnTpFY2MjUVFRhIaG8sMPP2BiYsIvv/wi13NKSkpITU3l8OHD4rMjR45w4cIFdu7cSV1dnXB2TZo0CS0tLW7fvk1gYCBZWVnY2tqycOHCJzpJFAlpDUkZyZs2bcLY2BhlZWU0NTVFAsSyZcvYsWMHUVFRzJgxg+TkZKKjo0VdP0Xoavb29ujr69PY2Mj69euxt7dn5MiRHbKs5cWQIUNwcXHh5MmTbNy4kX79+uHr64uzszNqampyOxjt7e1xdnZm+/btuLm5ERAQwLVr1wSDliJYmSorK7l27Rp5eXmcO3eOMWPG0NraipWVFS+88ALw9L63trbS0tKCiooKGhoaTJ8+XejdEsW2otraFRw8eBB/f39RqsbLywtHR0f09fWxsLBg8eLFlJaWcvLkSSoqKliyZEmXHb8PHjwgKiqKlpYWampq0NfXJyMjAy8vL8zNzbsUXFtQUEBtbS2bNm0iKCgIKysrlJWV0dHRESVh5G1beXk5pqamnDhxgqCgIAwMDFBTU8PExETIOEXsmVu3buHo6Ii2tjYzZ85ERUWF69evU1JSwvz580UAQvt3SX+/+OKLaGpqcu7cOf7zn/8gk8mwtLQUrFZdLbkka1PELer/YRQUFJCYmMjDhw+5desW5eXlHDt2rFvPrKur4+7du4SEhBAeHk5ubi66urq4ubnx2muviRTZ7qChoYGamhqqqqq4c+eOcELo6upSWlrKjBkzOqQIPgkSJ+6VK1dITU2lra2NyZMnM2HCBCZOnNjtxXz//n2CgoIICQnh/v37NDc3s2vXrj9RVP4VMjMziYiIIC4ujjt37vDgwQN++umnLhdKbG1tpaamhtraWhITE4mJiSEqKgoNDQ1kMhkuLi5dMtLCY2FQWFhIcnIyiYmJREREUFVVhZ2dHW5ubsyaNavLBRPlQX5+Pnfv3qW+vh5HR0eUlZUxNjYWmYHPA6mpqYSEhBAZGcmtW7fYsWNHhxpODQ3/H3dvGldV9bf/v0EQREREBhkVEAEBUUFwuBPH1DTFuUzLsTIty9K00lLTb1paZjlr3xxRFIecZxFkEJFB4DDPINMBBOEwnt8DX3vdkBPIsf7/+3riy8M5e6+91tprfdZnuK4qKioqyMjI4P79+8THxwsR66qqKhYsWPDULJOGG0N9fT3Z2dliLufl5VFTU4ONjY3I6FclGh4elUol9fX1pKenEx4eTmxsLLm5uTg4OAihWFWitLSUEydOCCFXDw8Phg8fTrt27VAqlaSkpHDs2DHKysooKioSHPwuLi507979mRWmpaWlHDp0iL/++ov8/Hy8vLyYOHEi/fv3f+nD8qNHj0hLSyMiIoL4+HiKi4tp164d2trafPzxxyoN/Eq6jVFRUSQmJpKWlkaPHj0E7VVTkJ2dzaJFizh27Bjw+DAdGhrKtWvXWLJkyROahQqFgri4OAIDA7l16xYymQx1dXX69evH6NGjGTZs2CsXYW4I6Z1ITEwkLCyM3NxcTExMMDIy4tGjR8TGxpKUlER+fj7dunXDwcEBNze3f7w6oyGkuVVYWEhWVhahoaEkJiYil8tFRVv37t0ZNGgQCxcubJbR+vd5m5GRQXh4OCEhIeTk5FBRUcEHH3wg6Bdetu3l5eU8evSIDh06oKGhISg0v/rqK5GV1hRUVlbSqlUrcnNziYmJISoqipKSEmpqaigsLGT58uUqyWoOCQnhr7/+onXr1ri4uDBo0CA6dOjQ7PdcqVQSHx8vNFQSEhLIyclh69atzUqwkMvlhISEoKen16jC4UXIyMhg1qxZ7Nu3j/bt26Orq4u3tzcnT55s8jUaQppb//3vf5HL5SxevJitW7cSFBSEjo4OAwcOfGUOKOndDQkJ4cCBA8ycOZMff/wRHx8f0tLS2LRpE7/++usLfy854DMyMjh//jwBAQG4u7szderUZuk/hYaGEhcXR1ZWFkOHDqV379788ssvTJ06VVA7Pw/SXMrPzyclJYVu3bo1SuiaNWtWk50nqoLUR3PnzhVsATKZjPPnz/PJJ58IqtCqqioKCgrIzMwkIiJCrElmZmbY2toyZMiQJtuh8JgiKyUlhdDQUPLz88nLy8PZ2ZnBgwfTpUsXQeHaENnZ2RgZGfHee+/xySef0K9fv0YUxNK6rgpUVVURERFBQEAAwcHB5ObmoqOjw/Dhw/Hw8KBfv37NPvz9HfHx8aSkpJCWlkZubi7379+nVatWuLm5YWlpyWuvvdbkbGLpPf3+++8JCQmhQ4cOGBkZ0a5dO/T09Bg1atQL9WLz8vK4c+cO169f5/79+zx69AhjY2MmTpyokne8vr4ehUIhAqtpaWmkpaWRmpqKp6enqPhsiWOzurqa6upqioqKiIqKIjg4mNjYWNq0aSPsECkxR8L69eu5fPkyr732GtOnT2+2HuyLID1TUFAQ169f5+HDh7i6uuLp6fnE+iOTydi5c6fogw4dOmBhYYGFhQWmpqZYWFjQvn37RgwkqsaZM2dISUmhuLiY+fPnP6GVIs21PXv2kJSUREVFBSUlJWhpaREfH8+IESOeSXXaEA1thYCAAABB7/6q4O3tzZ9//kn79u0JCgriu+++w9DQkKSkJObPn//KtS8bYv369YwbN45Lly5hYGDA9OnTWbFiBXZ2dkLzJjk5mbCwMG7cuEFycjIVFRV4enrSr18/hgwZ8kJKz/Xr19O6dWs+++wzHj58yLZt2wgKCgKgf//+LF26VGWVJE97d2UyGYGBgYSEhHD79m2OHTuGg4MDRUVFyGQy8vLySExMJCkpiby8PNzc3DA0NMTd3f2pWuFSW319fTl//jyrVq3C0tKSS5cucebMGd5///0WaxKpAjU1NVRVVSGTyYSvJTIykrKyMhYsWEB+fj4HDx7E0NCQzZs3N8l+aA6kfgoNDRV9s23bNnr16iUq6F601hYVFREREUFYWBixsbGoqalhaGjIunXrWrz3PQ9SQEmi9FdXV0dLSwsvLy/CwsKIjo7Gy8uLSZMmYWpq+q/QYcL/roMHDx7EycnpCU10KQj5PEhjcO3aNXbt2sXhw4fF3zIyMti5cyfz58/niy++aPQ3Cenp6URGRopkIrlczrFjx155f0jVUqmpqcTExBAYGMjDhw8pLCxEqVTy22+/cfv2bS5duoRMJkNPT48FCxY0y0ZsDjIzM4V/q6XIz8/n5MmTlJWVMWLEiGavJ9IYhISE0L59e3r37s0bb7zxBP1cS1BbW0tSUhIBAQHcvHmTxMRENDQ0cHFxYfTo0S+k6KuuriYwMJDdu3djYmJCr169GDlypMrs55dBVlaWSBK/f/8+OTk5aGpqkpKSwoIFC5gyZQra2trIZDLWrl3LypUrm5XIIa0TNTU1ZGRkEBwcTGRkJGlpaejr69OpUyeGDh3aZIrehw8fkp2dTX5+PjKZjMjISFJTU4V+8cCBA5vsR5F0TEtLS4mJieHOnTvExMQICvlJkybx3nvvNflZn4bMzExWrFiBnp4exsbGeHp64uTk9FLFSg8ePCAkJISIiAiCg4N58OABt27dapbt9n8mGNbQ0XDq1CkCAgLo2bMnY8aMwdramsrKSioqKqioqGgWr+ffUVdXx8OHD9HS0hJ0FkVFRdy/f5/Tp08zefJklXEGBwcHo6OjIzL3MjMzBWesm5vbc4NuT6MbDA4O5tSpU0RERHD+/PmXalNmZibh4eG0bdtWiIVLuHr1Kg4ODs+lTJAq66ytrXF1dRWOf6kss2vXri/UM3ka0tPTUVNTE+2pqqoiJSWFuLg4KisrX+rw3NB4qKmpIS4ujqSkJPz9/Zk+fbpKHdT/lAFVXV3NlStXuHDhAqampnTu3Flkz0h/h8ZRdelw2KFDB3r27ImmpiaxsbFkZGSQnp7O3Llzn5hrDan4JOPVyMiI4cOHY2JiQmFhITExMaIyTpVoSPtx/fp1MjMzadOmDRMmTBBZ8xLlkqoz3ysrK0lNTcXKyuq5C3F5eTkFBQXI5XLhgCosLCQjI4O33377hXzOjx49AqBt27YvZdDU1dXx4MED7t69S+vWrfHw8BB0snFxcaSlpfHRRx8165pPgzSv7927h5WVlTgs19XVkZiYSF1dXZM0pqS/R0VF4evry4wZM7CwsHjhWvH365aXlxMdHY2/v7+oDFIFXUBTIbVHyl6xtrampqaG0tJSCgsLmTlzJl5eXsTHx3Pnzh38/f0ZPny4yML7t1BfX09kZCSVlZU4OjqSkZFBXl4elZWVXLt2jTfffBMvL69mV/bC46qz0NBQSktLsbGxEdVLFRUVhIWFYWdnJ2hbXhYHDx7k559/pn///mLvvHbtGtHR0ezfv7/J629paSlXr17FysoKNzc3QeOSl5dHRkYGY8eOfSIg2xwoFArCw8MxMDCga9euL53xmpmZyfXr17GysqJ79+7CgSjN/+7duz8zY1Pqi9TUVCIiIoSuhpOTE4aGhhgaGjZ5jAMCAti4cSPu7u6Cjic0NJR9+/YBNHuvl+773XffYW9vj56eHjExMSxdupR9+/Yhl8tfSXIF/G+//P7771hYWNCxY0cuXbrE6tWrOXXqFFeuXGHLli0vDAZ///33WFlZiYx6+N/DfFPmYVxcHCUlJbi7uz+x78rl8iYzFEh9efbsWc6cOYOpqSlGRkYYGhoik8koLi5m06ZN/3hGZnl5OdOmTeP06dPis/T0dNasWcOmTZsEXXRD6ltABDICAwPp2rVrI43TpkB6zvLycqKiorh16xaxsbG0a9fuCerJmpoa/vzzTw4dOoRcLufDDz/E09OTzp07Y2BgwJAhQ9i9e7dKnCENIdmkcrmcwMBAbty4QWxsLGfOnFHJGEm6vXV1daSlpREeHk5OTg7p6el8/PHHza6MefPNN/H19aWmpoaYmBji4+OJiorio48+wtbW9pnrSFJSEm3btkVfX1/Y4CkpKVy7dg1DQ8MXJgK+CNJ7dvPmTfr06dNoHUpISEBXVxczMzOVOItkMhkGBgZiDZbL5WRmZnLx4kWqqqpYvHgxp06dws7ODnNzc8zMzCgvL3+lQZjs7GzeeustZs+eTXV1NbGxseTk5KBUKjl48OATCUI5OTnExcWRmJhIeno6VVVVVFVVMX78+JdOVHkapP6urKwkIiKCjh070q1bt+f+RhrL2bNns27dOrZu3UqvXr2ws7Nj165dzJ49G1dX1xeurdK9P/roI+rq6oiLi6OgoAArKyucnZ356quvVKrfFhsby3fffcfRo0cpKSlh3bp1GBkZsWTJEnJzc1m6dCm7du1qkT3RHEia38nJySxYsIDu3btTUFDAxo0bsba2blSBJwU+7969i7+/PxcvXmTjxo0vTAR+++23+f7777G1tWX//v0EBQUxZswYunbtyoYNG3j//fdfSFndVISFhXHnzh3efvttLl68iJeXV6Oqp7/TjT18+BBNTU3atGlDcXEx4eHhpKWlkZiYyOjRo596TpXm1Pr16+nbty9eXl7iusuXL8fU1JRPPvnkXwuQwOPnPHXqFOrq6oICtbi4mPfff5+hQ4dibGxMXFwcn376Kb/88gvOzs4tXl+fhQkTJvDVV1+xYsUKduzYgYmJCZs3b+a9995rJD/RMDB979490tLSUCqVDB48WOjoSAniUvWJKqFQKLh//z7u7u6iLfPnz+fDDz/kxIkTPHr0iCVLljwRmP//AkaOHMmBAwcwNDSktrYWeKx51r9//ybb2+Xl5Xz77be0a9eOOXPmoKenxw8//IC5uTm9e/fm2LFjbNq0ifLycs6fP8+tW7fo3bs3o0aNwsTEhPLycioqKigrK1N5MsfTkJaWhkwmw8nJSfh3c3Nzyc/PJzU1Vcznqqoq6uvrqampUYleuGQz3rx5kxs3bqChoYG5uTn29vZ07NgRMzOzZu3j5eXl7N69m27dumFjY4OVlZUYs5MnT7Jnzx7MzMz48ccfm9R+KdBiYWEhkkBfRdWipEOtpaUlZH7i4uI4f/48hoaGz9Sgl9bFkydPEhAQQJcuXfDz80NbW5uUlBR69uzZ4uKVlkLyiebk5HD37l1+//13jI2N2b17txjbsWPHcuTIkWZTWldXV5OVlSU0N62srCgtLSUiIoIbN24wYMCAZtlXeXl56Ovri+SC6OhoMjIyiImJwd3dvVGRw4vg7++PgYEB3bt3F/Ikubm5xMXF0blzZ1G1/rIoKSkhIyODqKgozp8/z8OHDzE3N0dbWxsrKys8PDyeKIyR1mJpT4uOjsbFxYXXXntN7O11dXVkZ2c326/3fyYYJnXSBx98gLW1NYaGhoSEhCCTyVi/fr2g12jJtQsKCjh69Cj79u2jU6dO2NraMmXKFJUFvxpm4G/ZsoWsrCzS09OpqKhg5syZgppIEu7++6LW0GG8detWsrKycHFxwdXVtdmOgaddNzw8nP3795OYmIiVlRXFxcX069ePDz/88LmZOdKGcfbsWS5evCgCk5mZmYwfP57PPvvspdrVUNhZEpVXKpWMGjWKL7/8UlTiSCW4Tb2eXC7n/Pnzghe2f//+zJ49W9AIVVZWvtKDqvRKqnLTksbA19eXmzdvCpHmW7duoampyfr169HV1RUOFen7ly5d4tSpU4LyRqlUsmjRoiYHAhcvXkxpaSm9evWipKSE4uJili5dqlLdtadBoVAI0fLevXuTm5tLUFAQn3/++QszkpsLqa+uXLnCyZMnqa+vR6lUYmBggIWFBf369XsiS0tCYWEhhoaGPHz4kIKCAtLS0nBychJ6CdIc2Lp1K1evXsXJyQl7e3scHR0xNDTE3Ny8WU4wqa0+Pj6cO3dO6L6VlZXx4YcfqrxvJMyZM4eMjAysrKxwcnJi4MCBuLi4NLsqa8OGDZw7dw4nJyeGDh2KlZUVHTp0EJsoNBbY9PPzw9fXF2dnZzw8PJgyZcorzSJsCurr65k2bRo+Pj7U1dWxefNmLl26hK6uLpaWlnh7ezfKBvq3+Ocb6mRt375dcGhLgW1NTU3+/PNPiouLxXxv7rUjIyPZsmWLqECQxIE///xzlY9TYmIit27dIjAwkKKiIvr378/w4cPp1avXcx3+DdfCs2fPolAoSElJob6+ni+//FLwWr/sOEm/S0hIYM2aNejr66OmpkZtbS1GRkY4ODiIipjnQWrn9evXOXnyJAUFBdTU1FBUVMT48eP5+OOPm9SehgHbmpoarK2tqaurQ6FQ8OjRI959990mr/81NTVER0eTnJxMUlISWVlZlJeX4+LiQqtWrRg+fPhLZU4HBgayZcsW0tLS2LNnD05OTsyYMYPFixerlPr2afD19eXRo0dcv36d2bNn4+XlxfLly3FxcWHatGnPnEsnT54kOzubK1eusGHDhkZZhGvWrGHUqFHP7Ffpmjt37iQ/P5/jx49TVVWFra0tffr0YdasWS+d5FVaWsrdu3dFgFsul9OqVSsmT578wnfjVUAmk/Hjjz+ybds2sQZkZWWxaNEijh8/DsCJEyc4cuQICQkJ2NvbM336dEaPHo1SqRS6Xy+iy2xoLx87dgyFQoGGhgZDhw5tdGiU9uin4erVqxw7dgwNDQ1kMhmamprY2dlRWVnJzp07W9QPUvtkMhm7du0iLy8PGxsbHB0dm7QeNAUNqwMvX77MrVu3yM/Pp3fv3syePRszMzOqq6vJzc1tcrVATk6OqAY7ffo0GzZsaHJQv66uju3bt3P69Gnq6uowMjJi4MCBzJkzR+X7QUlJCfPnz2fPnj2oq6uzcuVKamtr+fbbb1VC7VRdXc327dsJCAgQAbZp06aJJKPs7Gyqq6spLy9n06ZNGBkZoaOjg6mpKebm5jg6Or6yqrALFy4QFhbGN998Q3l5OQqFgsLCQuRyeSOmgWc58aWkyB49emBtba3yap6vv/5aOErU1NRwdXUV69zTqCNra2t56623OHToENOnT+e///0vOjo6TJs2jbVr1zY5iFtUVMRbb73F5cuXgccJOTdu3ODUqVP85z//UakUgkwmY+vWrSxatIg7d+5w/Phx1q9fj42NDVFRUaxfv56DBw++UvuvYdChurqatm3boqWlRXh4OAEBAfTt2xcPDw/y8vLYt28fN27cwNXVFSMjI2bMmNEsKtGKigrmz5/PBx98gIODAx9++CGTJ09m0qRJqKmpMXXqVL7//nuV0SQWFBRQX19PXl4eq1evRl1dHW1tbZydnenduzcDBgwQ1M3Hjh0jKCiI7OxsjI2NmTlzZiPtIV1d3eeeVRYsWEBtbS0LFiwQycuff/45M2bMoGfPnv/4HtpQb+unn35CS0uLgoICUlNTGTt2LF988QU//vgjJSUlwpaS/EQbNmxQaYKg1JaYmBi2bNnC5s2beeeddwSV37hx4zh79myj9UNaTzZs2EB0dDSWlpZCOmLevHnPPE+rClL1XN++fdl6ImCXAAAgAElEQVS8eTMuLi7o6urSr18/Pv74Y/Ly8tDT08PJyQkPDw9cXV1VXk3XHDQ8Q6xcuRIfHx+REF9TU8P48eM5depUs+ZgZGQkf/75p9AtHD9+PO+++y579+7FxsaGyZMn88knn2BgYICenh5hYWFkZGSwYcOGFvlbm4qGlXBhYWEkJSWRlpaGubk533//vUhWPH36NH/88QcGBgYMGDCA3r17Y2tri66ursrW1QkTJuDp6UmrVq0oLi6msrKSqqoqPv/882YlRCUlJbF3715atWpFbW0tbdu2xdTUlO7du+Ps7IyOjg4XLlxg9OjRz7yG1C+3b9/m+PHjVFZWAmBiYkLnzp3p06ePStjLJEhU/HV1ddja2jJs2DAmTJjQJHtAauvSpUsZP348UVFR6OvrM3nyZNatW4enpyfDhw9vsRZ3c9Fwz5XL5cL+1dXVZffu3Rw5coR33nkHLS0t5HI54eHh7Nmzp1l2UHl5Ob/88gtBQUH06tWL6upqPD09mThxYrPbW1NTg4+PDzdu3CAmJgZTU1PmzJkjKvIePnyItrZ2k2zo4uJiQduflJRETU0NU6dO5csvv3yib1SBxYsX4+7uLt6TQ4cOkZqaymeffcaQIUOeYBhTV1dn+fLlYi3Lzs4mNjaWb775RiRSvwz+z2iGScGq/Px8duzYATzmib1+/To+Pj707t37pTOsJO5gPz8/srKyuHDhAkVFRfj6+rJ9+/Yn6GVeFtJ9rly5Qnl5uRA3DQ0N5eDBg9y9exc3N7dnvmzS599++y0LFixAX1+fxMRE9uzZIzQl6urqmq2pIQVnTp8+Tc+ePfn555+pr68nMDCQgwcPkpKSgoODwwsXgosXLzJy5EghshwTE8OuXbtITEx8KQNYTU2NkpISjh07xo8//oiDgwPx8fFs27aNa9euMW7cONTU1Jq8iEr9f+LECaKiovj999+prq5m37597Nixg//85z9oa2urNBAm0Qc2dGS9ioOPdM2AgADeeustEXGfMWMGS5cuJSIiAi8vryc0XA4dOiQCvlpaWhw6dIjDhw9jYWHxTG5x6RrR0dHk5OTg4+NDRUUFRUVF7Nixg//+978sXbr0lTyrNAcDAwNp374933zzDXV1dVRVVaFQKPDx8WHVqlUqXdCl6/j5+eHs7Ez//v1F9u/9+/fp3LkzPXv2bBTEzsvL46+//sLX1xcTExP27duHuro6nTt3FvP173Q2c+bMITExkYCAAP766y/Mzc3ZuHFjs9oqbSCHDh1iw4YNdOrUiUePHnHw4EF2796t0uxXqf2ZmZki68XR0ZE7d+7w+eefY2VlxRtvvNEsx95HH33EoEGDCA4O5tKlS1RUVACP6Vek6iFpvfr5558xMjJi3bp1pKSkcOTIEZKSkvjuu+/+lQBTQ70jPT09EhMTycrKIiYmhg0bNlBfX8/du3f56aefaNu2Lb17926WntKraC88nis2NjYsWbKEkydPUlhYSGFhoVizIiMjiYiIaFZFTsM9xcvLixkzZlBZWUlSUhJbtmzB39+fYcOGqcTJVltby6lTp/D29sbOzo7Zs2c/8Z3nHRIbvt8jRoxg3LhxqKurc/r0aS5duiSoTV92nKR5cfXqVWxsbPjggw/Iy8sjNzeX+Ph4FAoF0PTq4bNnz/I///M/opowLCyMAwcOkJSU1CRqX0mftLi4mCNHjgCPnZ8ZGRkkJCQ063CnqalJ7969hehudXU1MplM0Mu87NgOGDAAW1tbdHR00NPTIzc3l9atW7/yQBjApEmT2LBhA0lJSURHR3P06FFat24tgqJPeyalUomNjQ1+fn4kJSUxceJEnJycGDZsGAMHDuTGjRsi2elpkObnhQsX2LJlCykpKcyfP5+jR4/i5+fHoEGDsLS0bLbT7dGjR/j7+4tDRFlZGQqFohE9yT/pxIPH+mUWFhaMGTMGb29vrK2tCQ8PFwf48PBwDh06xMqVKzE1NeXkyZMcOXIEBwcHbG1tm5xgIY2TlNVvbm5OVVUVv//+O5WVlbzxxhuoq6s/1eErvYseHh54enoKmzAiIoKsrCyVOOuk9WT16tWMHz8eIyMj5HI5e/bsITc3l4ULF6Kurt4iJ4Fk8x49epTExETGjh2LmZkZx48fZ//+/Xz22We0bt26WY6+6Ohozpw5g7GxMQUFBXz22Wd4e3tjYmLyTOrIhhSkwcHBnDx5EnV1da5evcrhw4fx8PB4KS28Zz2zZCNaW1ujo6PDzp07qampoV27dpw4caJF9HTS9YOCgggPD2fr1q0YGhpy8+ZNjhw5QkREBD179mzEoLF582ZkMplgXAgKCmLmzJkqD4ZJc8rS0pLk5GTgsci6rq6uqPht+D11dXUqKyu5fPkyd+/excTERARkhw0bJgJTqqp6kc50AQEBXLt2jVatWpGamiqS8iZPnvzUYJhSqWTJkiVUV1fj5OTE119/jbu7O6WlpU0KhEljVlxczNSpU8XnOjo6vPHGG+LMqkp069ZNaMF06NCBDz/8UOyt/v7+Yi/7J4JhUjDI3d2drl274uTk1Ii+c/v27ejq6rJ69WpKS0vx9fVl6dKl/PTTT7Rv375JFQc6Ojq8/fbb7Nu3jzZt2lBVVcXEiRPFeaiqqkqlemHSOqOvr8/u3buFBEFsbCy//PILVVVVjB49muvXr3Pt2jUmT56Mg4MDV65cwcfHB0tLS1EB/jyUlZVhZWXFvXv32Lx5M7W1tRQVFWFqaip++0/vodK6fu7cOSwsLPjyyy8FPftvv/3GrVu3WLBgAX/99RdjxozB1dVVSF28KqaMwsJCnJ2duX79uqj2DA4OpnPnzqirqzeybyX6sMuXL3P58mWUSiUPHjzgyJEjHD58GDs7u1empwiPtbc6d+4s9NLj4uJEApSzszMLFy6ktrYWf39/tm/fjomJyT9OKd0QDd89MzMzsrKyBOtSUFBQs5Nm4TFryZIlS+jYsWOjSuXhw4fj6OjIw4cPSU9PZ+PGjcKnePXqVXx9fXF1dX2l4wP/+06dPHmSJUuWiIrSvXv3cuHCBRwdHamtrWXTpk189913JCUlERQUhI+PD7W1tfj5+bVYixoeJ//o6uqKYEFdXR3Jycncv3+/2QlqXbt2ZenSpYKiLysri+zsbBISEti/fz+jR49+biAM/ncu+Pr60qlTJwYPHkxJSYmgsJSCuC05W0v7hkwm4/Dhw+zevRt4rNF+8OBB7OzsmlQ5JI1hcXExPXr0YO/evXz00Ueoq6sLGnJomRb3y0BaPw8ePEhGRgZ37txBS0sLU1NTnJycmDNnDikpKULm4rvvvmvWtdXV1bl48SJFRUUcOXKEgoICcU43Njbmtddea9L4NLQ1L1++zCeffIK9vT1nzpzh4sWLdO/eHRsbmyZVETasciwpKeHPP/9EQ0OD+/fvs2fPHkJDQ/Hw8FCpLVJfX09MTAybNm0Sn/Xt25cFCxYIuYm/64UplUpiYmIaVeKFhoZy5MgRvLy8Xrri8/9MMAweU6n83UFvaWlJYWEh2traL21USr8JDQ1lzpw5dOjQgQ4dOrB8+XI+//xzrl+/zsSJE1tstEq/vX37NhMmTMDQ0JCamho8PDyEoLmbm9tzX5Lc3FzU1NREaaW7uztjx45lzpw5vPvuuy8VEJQWrOTkZOHwqaur47XXXsPHx4fU1FQcHBye+ewNI7guLi7icycnJ/Ly8gTlW3P6T+qD27dv06VLFxwcHKipqcHe3p7x48ezd+9exo0b16xrSt+7ceMGn376qTDM169fz0cffcTVq1dF9nFLFwQp0yEuLo5Lly7x2WefievW1tZSX1+v0kxYab7U1dWRm5srPm/VqpV4P/7+/erqauRyeaOD4Lx585gyZQo1NTUvvGdKSopwoujo6KCjo8OkSZPYvn27yDp9VYe80tJStLW1KS8vF5SmdnZ2pKSkAP+72akCUt9qaWk1ohZUKBQMHjxYONPU1dUbVUkWFxczffp0YmJiALh06RJyuZy5c+c2ur5MJnviQJ6bm0tOTo54luYYNQUFBWhpaYnNRl9fn6VLl+Lt7a1SSpaGSQQGBgZ8+umnKBQK+vfvz/79+8Um3rVrVyHo+jTcv3+fgoICBgwYQHV1NR4eHsLwffDgAffu3WtEoyeNq0wmY/HixRgbG9O3b1+mTZvGe++9h0wmU4mu08tCotX7+uuvUVdXF9n3jo6OIos0MDBQUHT8W5D6MSUlhVmzZmFqakpiYiKrV69m0aJFos/v3LkjftNUZ3xDcWzJoNHS0sLFxYWOHTtSWlra4vY3dHpevnyZiRMnUlNTg4aGBvn5+RQUFDSpKkkywLKyshg/frz4fOzYsRw8eFAEq1pqXxQXFzNlyhTMzMwwMzOjV69e9O/fv5GD4HmQ+j01NVU4surq6nB3d+fXX3+lsLCQrl27PredDQO2BgYG5OTkYGZmhqWlJZaWls3SC4PH7+Cff/4pdBZsbW0ZM2aMyJ5uDhpWfIaHh5OYmMjAgQNxdXWldevWrFu3rtnXfBmoqamxePFi3NzcuHnzJoMHD2b48OGimuRpfaumpkaPHj347bffuHr1KgMHDsTHx4czZ87g4+PDlClTMDExee7YZGRk0LZtW8zNzcnLy6NPnz5YWVlhZmYmMnGbuqc1pIm7dOkSb775Jkqlknbt2lFVVUVaWprKKYSbg1WrVnH69GmCg4M5d+4cU6ZMYdSoUcDjA7eXl5ewJefOnYtCoeDQoUOsWLGiSfuh1M9JSUnU1tY2qpq0srLi8OHDz3WAS9dftmwZWlpagn61Z8+eKstalyo2KioqGtHkjh07lpkzZ1JRUdFiZ470HNeuXWP79u0YGxtTU1ODqakpS5cu5d69e3h6ejZrbRsxYgQuLi6kpqaSmJhIQkICf/31F23atEFLS4u33nrrmftvQEAAnp6etGnThrq6Ot544w0KCgo4efLkC88+TYX0HDExMbRv356DBw9SVFTEihUrCAgIICQkBGi5YPuNGzeE/VddXY2XlxcRERGcO3dOJEcplUq2bNnC3LlzG9k1hYWFr9SZGBkZiY+PDwcOHGDAgAEMGTKEAQMG0L59ezHW0vP7+fkRFxcn2BX09PQoLCxk1qxZLdaNaIiGUgfTpk2jVatWKJVKrK2t+eCDD/jggw+e+E3Dqm1nZ2d0dXV577332LVrFxEREcyZM6fR916E3377jQsXLpCSksKcOXNeKcWXuro6CxcuZMqUKWhpaYn9Iz09nZCQED755BPg1SRHNmwDIPRD4+Li8Pf3Jycnh+7du7NkyRKsrKxISkpizZo1Yk8YMmQIH330EfHx8aKCqikYOHCgoCNctmwZ6urqKBQKrly5Ivpa1ZSCUlVU165dcXBwYOLEiZSUlIizzpUrV5g8eTIjR46kurqauXPnsnz5cq5evcp77733zPZI70m7du344osvyMnJEUlDMTExqKmp8e233+Lo6MiSJUtU9jxNgdTeuLg4pk+fLv5vZ2eHrq4uWVlZWFlZ4e7uLnSulEqlYOlRdbJoXV0dLi4uBAYGsnbtWsaNG8eZM2e4du2amD/SWUe6d3x8fCN/nqmpKZ9++iljxox55YEWKfDj4ODAsmXLKCoqIjMzk59++onS0lJGjhxJ7969xXsj+UP+TTpMeBxgb9euHXPnzqV///7U1tZSXl7OoEGDXvhbqe2xsbHs27ePnJwcQZ3dsDJbSmyLi4sTDCESunbtSk5OzisfHwk5OTkoFIpG1KpTp05l6tSpqKmpkZiYSN++fRk0aBCDBg0SvpXo6OgW207SnpKfn4+enh5BQUE4OTmhp6cnEh1eBvr6+ujr64uzaWFhISUlJYSHh4trPu/9lOafmpqaCNDB40qkvLw8Qe3Zknkq3d/f3x93d3cReH333XfR0dHhwIEDuLq6Nmkdqa6uZtq0aSiVSvr27csff/xBQUEB8fHx/5qfRrIVfH19+eabb7h9+zZvv/02W7ZsITIykt9++w1vb280NDQaBeqa06exsbF4eHiIZCRra2vkcjn37t1rtnTM5cuXGTNmDO7u7lRXV/P222+TnJzMmTNnmkzT27BgYsiQIWhoaFBdXY2zszMmJiYEBwfj4eGh0jVOLpdjaWnJrl278Pb2Rl9fn5qaGpKSkp6pHRYfH4+urm4jSko7OzsSEhJaRH36763aKoRSqaS2tlZEu99++238/PwICgri2LFjdO/eHXi82L8MpIF3dnYmPj6+0d+ys7NfyrHzPAwcOJD9+/cTFhZGVVUV8Lh8VrrP8xaX0tJSTExMSEtLE5/JZDI0NDREQPBl4e3tzfHjx8nMzERTU5Pk5GQyMjKEMfOsdkn9Pn78eFasWEFgYCDl5eXExsby8OFD4TxojvElfbdz587U1tYSGhoqNuX09HSRDdicMW9oMGZmZjb6m1wux97evsnXehGys7O5ffs2O3bsEGXM0tjExMRw5coVld2rIWbNmsXp06fZvXs34eHh7Nq1C4VCIcSBG45BVVUVTk5OLFu2TGiIZGVlUVZW9tyMFzU1NZRKJc7OzqIaLCkpibCwMHx8fETg41U4+qUxlIy/33//nTt37vDHH39w5MgRRowY8cRztgTSM2RmZpKUlMTy5cuJjIykqqpKcN825OmW7hsYGMg777xDVlaWoMaKjY0VHN8N563ktJPJZJSVlVFfX4+pqSlubm4olcpmb0xSBdr3339Peno6OTk53LhxA21tbaFBpgpI7SorKxMbl7a2tqiicXFxoWvXroSFhT33OklJSSJLfOjQoSxcuJDdu3cTFRWFgYEBo0aNeqLNpaWlmJqaUlxcLD5TKpUUFxerXMelqZDG3tHRkdWrV/PWW2/RunVroqOj2bJlC3FxccBjOj/JuPw3g2ES5ViPHj1Yvny5MDaioqIExS08PlhI71tzEw/efPNNLl++jL+/P9nZ2Vy8eJGEhARhDLbUYIfH2afS+lZVVYWampoQU274veddp7q6mv79+7Nw4UKioqIoKyujoKCAkpISUW31smuK5CxISkpi2bJl+Pr6iqC9vr5+kw28hvvs+vXruXfvHvA4iFJQUCAqK57XTulvUlbi4sWL2bZtG2fOnCEqKkrwpzcFJ0+eZNu2bQB06tQJPT09AgMD+eabb0hNTW3ydf6On376ifDwcA4cOIBCoUBNTY179+690uxBqW/z8vI4cuQIX375JT179mTNmjVMmjSJ9u3bv9DWqKurQ09Pj9GjR9OxY0cWLFjAiRMnuHz5sqhEed7Y5OfnM3z4cNLT00X2tlwu5/r162hoaDRrrZC+e/PmTZHgJDl0/Pz8OHHiRKPv/ZMoKipCoVAwatQo1q1bx5kzZ3j33XdFlqjEqy8FoeFxgofkTG1Om/Pz82nbti3Jycli79XX16e4uFhkqz8P06ZNw9TUlKNHjzJjxgxGjBjBDz/80KRkoaagoKCAjh07EhoaKj7Lzs6mvLxcJVnNEv++lZUVISEhVFVVoampiYmJCXK5XCQzNXdtMzMzw9XVlZkzZ7J27VqWLl3Km2++SevWrYXeUENI63zPnj3Jzs4mNzdXOCSioqKEA04V81F6lvHjx1NeXs6xY8cYNGgQBgYGnDt3TlBktmQ9B+jTpw9RUVEkJycLR2Jqaio9evQQ8yooKIiYmBh0dXXF/MvKyiI2NrbZ+hMvgtR30dHRbNu2jZ07d/LDDz9gaGjIzp07eeONNxo5r6R/pSq1nj17snDhQv773/9ia2srxvFlz9V/R11dHQC7du1i27ZtbN68WSRKPgvSvNm9e7fYm6ysrFiyZAk//PADEyZMAF6cJCBd56uvvmLVqlXk5eUxfvx4PDw8mDhxInl5eS16tufB2NhYBCHhsQ7wunXrxDnpn2AGsLGxYebMmaxfv57du3czY8YMCgoK6NChA1VVVXTq1InAwEDxfaVSSU5OTpMqzSVERERQU1PDlClTGD9+vKDKVyqVaGtrM2vWLEA1zyvNyaSkJHbs2MH333/PnDlz+Oabbzh9+rTQfQcwNzfn3r17FBUVifdU0i95HqTxWrZsGcnJyVhaWtK/f3+mTp3KihUrmDlzJlOmTGHw4MEtfp7mor6+nvr6ekaNGsXatWs5e/YsGRkZVFVVERsbS1JSEitXrsTb25uioiKUSiXGxsYi2UlVc056p1u1aoWBgQEffvgh48aN48GDB5w4cYLXXntNVGJK76h0bzMzMzp37szPP/9MYWEhCQkJ/PLLL6JCXLr2q4JSqaSoqEjIgxw5coTCwkKWLFnSiIFgyZIlpKenA6qrkG0OamtrG9kbq1atYsWKFRgbG1NdXS2CQy+CNJ9//fVXHBwcWLhwId7e3iQnJ7NhwwbKy8uBx3OrtrYWR0dHNDU1effddzl37hzR0dGcOnVKrAmvcnykturp6WFvb8/GjRvJzs4GHgfp2rZti46ODtnZ2WhoaBATE9Non3JxcWmxLSHN17t375KVlcUff/zBoUOHhP5VSxI6Hz16RHZ2NkqlktLSUnJycujcufMLz5rSM+Xl5ZGamsqqVauQyWQolUp0dXWxtbWlXbt2L90uCdI8Nzc3R6FQCB8m0CiI9TzboKioiNraWlq3bs3gwYPR1dXljTfeoKamhj/++IPPP/+8xT7rl4F0v8TERIyMjHB3d0dNTU3ooj98+JBffvml0X7YHEh9Z29vz+3bt0lISKC6uppHjx5x9+7dZsUTpHnQtWtXYmNjKSgoEHtYUVFRs/ZnCa+//jrnzp0jLCxMtFUmk6mMmaEhDA0NmTdvHvfu3WPfvn38+OOPfPDBB2LPbLiGSJJHkp7erFmzuHnzJpmZmfj6+gq/3suuO/8nKsMkKjwNDQ02bdqEj48PoaGhhIWFCU5qaPlGNXLkSBYsWMCpU6cwNzdHT08PQ0NDUUHUUgNCat/w4cOJjY3F19cXhUJBQkICAwYMEE7z593HwcEBJycnpk6dSp8+fejWrRtJSUlCg6YlFTGDBw/m9u3bvPnmm2hpadGrVy8RzW1KpsKoUaPIyMhgy5YtZGRk4OjoKDLYmxttlu5lZ2dHly5d2LRpE4aGhuTm5mJhYcGMGTMafa+pUCqVvP766yxZsoQbN25gYGCAuro6bdu2bbHTsyEKCwu5fPky165dY/DgwezZs4eOHTvi4ODApk2bBG2RKqLwJSUlaGho0KZNG3r37s306dPx8fHh+PHjDBo0iK+++uqp92rXrh3vv/++4MjNzc3l4cOHwnH3tGzLhjSLtra2zJ07l4MHD4oAkYODgxAzVbXhqFAoKCsrw8jICAMDAxYsWMCBAwfYv38/+vr6jBs3TjjtVUnrAo+d7AMGDCAtLY1du3bRqlUr2rdvz4gRIxpVU0j37dKlC5mZmdy9e5eFCxcCj4Og3377rbiu5Ki6fv06crmcrVu3Ym9vj729PZ06dRLCls1Fx44def/999m+fTubN29GoVBQW1sr6ONUVTUn9c3IkSNZt24dtbW1dOvWjZKSEm7fvs3cuXO5fPkyU6ZMee517t+/L/RLunTpwu3bt7l9+za+vr6UlZWxfv36Rpk0dXV1tG/fHi8vL6ZPn46Xlxd2dnaCzqR169b/agafmZkZRUVFjBo1imHDhvHVV1+Rl5fHrVu3OHr0KHK5XDjk/s0sQzU1NVq3bs3w4cM5efIkW7ZsQUtLS2jAZGdn88cff6Cvry8cN01pb2VlJZqammhoaDBo0CBSU1PZtGkT2tramJub89Zbb6lEmFqaww2rbKWMz8DAQPFevih7TU1NDS0tLWbMmMGuXbsE3aZSqRSZhi2dT48ePWLo0KEkJiYSHBzMtWvX0NTUxNnZ+bn0eQ3xd/thzZo15OfnY2try+zZs9HU1HxhOyXx9x49evD1118LKs+srCzOnj3L/Pnzm2ysHzlyhDlz5ogq9bq6Oh48eMAPP/zAoUOH+Prrr5uVgSxlkSckJHDq1Cnu3bsnEp02b97Mb7/9pjKK16fdGx47SwcNGsS9e/fIzc1FV1eXv/76iyFDhrzw3q1atWLPnj0cO3aMkpISPDw8GDFiBAMHDkRXV/eFfeHq6oqtrS16enro6ekJPUzJvm3Oui19T1tbm6KiokafRUZGimv+U3Syki0RFBTErl27CA0NpUePHri4uNCzZ0/c3d0xMjKivr4eLy8vjh49yvvvv0/nzp2prq6mqKhIvItNeQ+lZ+rfvz/BwcH8/vvvjBo1iry8PG7cuCGqwl50EB8wYIBYR/Ly8li/fr1IFlMFrK2tef3111mzZg2enp6YmZlx7949YceoQoumdevWjBkzht27d1NQUEBtbS3p6enPpcJ+FqT1JSwsjCtXrrBs2TIqKysJDw/H1NRU2JpPg5QZ7Ofnx3vvvYeBgQFt27ZFT09PnF9USTdmZ2fHvHnz0NbWxtjYWFCtShrQL7ueS3Orb9++nDt3jtWrV9OmTRtKSkowNzdn4MCBKJVKWrVqxZ07d8TeWVlZSbt27QgPD+fevXui6kDVKC0tZdasWTg6OuLo6Cj6Vi6Xi0Q2NTU18fwPHjzA3Nyc0NBQhg0bhq6uLu3atRNZ6qpaH6R3Ztq0aejp6XHu3Dm2b9+OhYUFzs7OrFix4gk5AjU1NRQKBdbW1hQWFmJtbY2GhsZLB4qNjY0bOY9lMhlnz55VqVaYhLq6ukb93JBe/saNG6xatUrl92yIhhrlcrkcQ0NDdHR00NbWZtSoUcTHxwvH6bvvvsuKFSu4desWPXr0IDMzky5dumBkZNSkPSI9PZ0NGzawfft2kVx06tQpEhISGD16dCOdFFXMJ2ndPnz4MB06dKBt27Z06NCB6upqNmzYILT7lEol3t7erF27lj179qCvr09cXBwKhUKs6y+SpXB1dWXNmjX8+uuvtGvXTlCzLVq06F9LvJPWyREjRpCXlyeo9RMTExkzZgwBAQH4+vri7Yre6OEAACAASURBVO0t6AA/++wz9u7dq1IZiDt37vD111/j5uaGp6cnAwYM4IsvvqCysvKZwX7JBjUwMGDq1KmictbQ0BArKyumT58OvLogsbSHBQcHc/jwYVJSUtDU1KSkpIQHDx6wYMECLC0tcXZ2xsXFBZlM1mRNwleBoKAgbt++zYwZM9i5cycTJkxoZJc0FdKcyc3NbUQT3K9fP2bMmEFhYSG6urqoq6sLeua1a9dy6NAhrl69SlhYGOPGjRP+jFdN7QqPz3MTJ07kzz//ZM2aNSQkJODg4CDaf+XKFUHJ3qdPHzw8PLC3t8fS0rLFZ+tHjx7Rtm1bpk+fzsCBA4mMjEQmk5GYmEhZWRkrV65slvZoSEgIZ86cITc3FwMDA+RyOcHBwbi4uKCjo4NCoXihhqT0eVlZGa6urqSkpIhzu6GhIUOHDhWJoS2FZIv7+PgwduxY7Ozs0NPTQy6XC+mL5/Xx2rVrWbZsGdeuXaNNmza4ublhYWEhEij//kz/FKT7JSQk0LNnT6KjozEzM0NbW5spU6aQlJSEt7c3d+7cIS4ujnfeeUfofDcHU6ZMQSaTsXLlSqytrSktLaV9+/Yv3Hee1tZhw4bx9ddf8+OPP6Kvr09GRgZKpbJZ15K+4+npSUBAADt27EChUFBUVMSAAQNabBc/C56enrRv3x5/f390dHT4+OOPn0qRqKamJtaohQsXsm/fPnbv3k1CQgITJkxocSW9mvLfTD1XAaKjo1m0aBFjxozBy8vriehlS51U6enpT/Dl37x5k5iYGNq0acO0adPQ0tJqsdPgypUrKJVK+vXrJ4yRkJAQwdXr5OT0XCOlsLBQBG7gsWP9woULpKenM2PGDEEl1Nx2Hj9+HGNjYxwdHRtpJyQkJKCmpvZCju9Vq1bh6urK4MGDxcYgRcGljLPmIi8vj8zMzEZi80lJSWIT6tu3b7N5r/Pz8xs5YIuLi7lw4QIZGRloamoyc+ZMDAwMVOocKiwsxM/PT2QmS0GriooKvvvuO8Hh39L7rVmzhtatW+Pi4oKNjQ12dnaNHMUSDZh0n507d2JjY4OLiwsmJiY8fPiQsLAwNDU16dKlC6amps/Mwo+OjubEiRM4OTkJbQENDQ0yMjJo06ZNIzo7VcPf3x8/Pz+6du2KpaUlrq6udOnSRQjJvgrcu3cPV1dX8d6VlpaSlpZGamoqUVFRDB48+Kn8vzKZjHXr1gmqxPv37zfSO5QOBBIyMzMJDg4mMjJSlBA35Nl9Eerr69mxYwddunTBxsYGW1tbqqqqiI6Opra2ll69eqmU2kAyFCWEh4dz8uRJqqqqKCsrY+jQoQwfPpw5c+Zw9OjRZ87xoqIiUc34dyiVSoKDg7G3txfvJjTeDGNjY7l27RoRERF4eHgwdepUUcXxTwaapPtFRERw/PhxQkJCsLe355dffiE1NZXIyEji4+Pp2rUrQ4YMaZYw+avAuXPnaNWqFXZ2dpiYmLBlyxZCQkKYOHEiRkZGBAcHU1hYSL9+/Rg+fHiTnSLwOEhSWlqKjY0N1tbWoqIjOzsbPT09lWSuNURaWhqzZ8/Gw8OD1157TWgHbt++/YUBjC1btuDo6Ii7u7tI+rh79y6tW7emffv2LT5UBQcH071790bitjk5OaSnpxMbG0vHjh3x9vZ+4XzdvHkzzs7OvPbaa+I65eXllJSUUFNT06TDulwu5/bt24wZM4a4uDgsLS3R1dWlqqqKrKws4uPjGTRoUKNK12dBoVAwbtw4Ll68KCh4pD2nqKiIRYsWsXbt2iZrESUnJ2NoaEhCQgJ+fn7MmzePb7/9lv3794sEDT8/vyZd62WRnZ3Nl19+yd69e5k6daqonho/fjz79+9/pn0mvReJiYnMmzePP/74g9zcXM6fP8+tW7d48OABUVFRTaZFlvazmJgYlEol3bp1eynbDh6vjxs3buTNN9/E2tqaW7duERgYyN69e1VemfI8SPN79uzZjBo1irFjx3L9+nUCAwO5fv0648ePZ9GiRbRq1Uo8o2SfFRYWMmPGjCbrM9TV1ZGWloaJiQm6urrI5XKOHTtGcHAwhoaGvP766/Tt2/eZAUrpM7lcjo6ODlpaWtTV1aGhocHJkyepra0VwcSXRXJyMh06dEBXVxdNTU1CQ0M5e/YsJSUlTJkyhZ49ezYpgPo8pKamYmZmJiokQkNDRbWskZERI0eOpHPnzs3aK6Xg3H/+8x9MTEyYPXs2GzduJCIiAlNTUxYuXPiEbZ6YmIiOjk6jSozk5GTi4+MpLi7G29tbZbaJ1F/l5eWiCvn111/Hzc2Nmpoa5HK5qFh5GURHR6Otrd3oXBQeHs6DBw+oqKhoRKcKsGfPHvLz81m+fLn47Msvv8Td3b0RNaYqII3NsmXLKCws5IsvvnghDVF1dTURERE4OzuzdetW6urqsLe35+eff+bmzZsqa1tubi7l5eVPnCerq6u5evUqZ86c4aeffmq0JkljGRkZyapVq6ivr8fb2xsLCwtMTU2xtLRsUlW1NL/T09Px8/Pjzp07vP32243E2F+1vShVW7Ru3ZpvvvkGY2PjJtMbvSyk/vv1118JCgrC1dUVBwcHOnTogK+vL9ra2ixevBhdXV309PTIysri3LlzxMfH4+XlxaBBg9DT02vSGnTo0CHu37/PunXrkMvl/PHHH1y8eBE3NzdKS0tZvXq1Sm1eqU1vvfUWBw4c4NNPP+Wdd96he/furFu3jhEjRtCtWzfMzc1RU1MjNzcXPz8/KioqaN++PUOGDGlyVn11dTW///67YMC4dOkSQ4cOZdmyZSp7nubgzz//RKFQ4OXlJd7v1NRUCgsLsbCw4MaNG+Tk5DB69Gh+/vlnduzYQUJCAitXrsTHx0elPo78/HxkMhl37tzh4sWLQoPTzc0NJycn+vXr18jeLy4u5sCBA9ja2mJqaoq9vT06Ojrk5eVRXFz8j9CmSevk559/zoQJEwgKCqK8vJy6ujouXbrExx9/jIaGBtHR0WRmZuLh4cHChQv/1QTLyspKMjMzWbNmDQ8ePKCyshJHR0d69erFpEmTmpxcWFRUxMqVK+nfvz+TJk1CU1OTiooKJk2axIULF0hMTGTx4sWiSkZiS5Js0lfpa5FQW1vL3r17GTp0aCM2gOjoaOrr62nfvn2j805FRQW3b9/m5s2bREVFUVxczMWLF1tk396/f5/09HSGDBmCTCbDxsZG7OslJSUkJSU18k82BfPnzyckJIQPP/wQCwsLXn/9db788ksMDQ0b2QfPez9jYmJwdHQU87CoqIjk5GTS0tKIjIxk8ODBLdbiLigoQE9Pr5E27927d4mKiiI/P59Zs2Y1ab5VVVWhpaXF+vXrCQwMpKKigk6dOuHm5oarqyteXl7/uNbi3yExC61atYrAwEA0NTXp1q0bjx49Ii8vj/z8fFasWME777zTpD6NjIzkwYMHWFtbY2Zmhq6uLtHR0UJfrl+/fk1+5uTkZNq0aSPoBOvr6/Hz86O4uBilUsmoUaOafCa6evUqGhoaDBw4UMytpKQk5HI5dXV19OrVS6USKhJKSkoICwtDT0+Pzp07Y2xs/NS5nZuby+LFi/H29mbQoEFP2OgKhaLF7fv/fWWYlZUVc+bMITw8nCVLlojqEy8vLyGy3pLNfd68eWRkZNC7d28GDRrE66+/jpeXl8imk9BS4yE+Pl5EYw0NDfHw8GDAgAGNBOue9RyRkZHMmzePvn370qtXL9zc3ESF2N/R3HYGBAQQExODuro6Xbp0EdkVUpDjeaitraWuro6tW7eybNkyOnXqxMCBAxk1ahSenp4vvRjfu3ePZcuWiU1v0KBBDB8+XGhKvAzmzZtHQUEB7u7uDBw4kCFDhojshoZQhZEoGVsxMTFoamryzjvvAI8NxwcPHmBjYyMcay29n1KpxMXFhejoaHx9fampqaFjx45069aN7t27Y2pq2ig4VlZWRnZ2NvHx8Rw/fpwOHTrg4uJCr169nqD8exrKy8tRV1cnKiqKkJAQtLS0sLCwwMHBARMTEwwMDJoscN9cSDzLJSUlBAcH4+/vT7t27cQi26dPH5VUnEgoLy8nODiYXr16sX79eqytrbG3t8fa2hpXV9dGh+mGcz01NRVjY2MWLFjAuXPnSEhIEIdfeDxmGzduZNq0aRQXF6OtrY2DgwOWlpZMnjyZ2tpaofvWVKNGCiDn5OTg7+9P27Ztsba2xsnJCXNz8yY5uJsDPz8/+vTpQ3l5OUVFRfTv35/Vq1c3EuKtrq7m22+/fe4cDw4ORkNDg4cPH9KuXbtG31VTU2ukV6BQKOjVqxfdu3dnyJAhDBs2jO7du4vqkYb4pw8tUqDOz8+PoqIi6urqKCoqYv/+/SQmJmJnZ9coa/7f5p6PiIjg4cOH+Pv7o6enh62tLVlZWYSEhLBp0yZGjBjRaD9qzh5bWlpKSkoKcXFxaGhoYGhoSJcuXejatSsKhYI2bdqojPJOqVTSpUsXfv/9d06fPs2hQ4fQ1dVl3bp1LwyEVVZWUlhYyOHDh9m6davYl/v370+3bt1U0saIiAjc3NzYvn270I2zs7Ojd+/e9OvXT9BMPG8u1NXVkZGRga+vr6A2GzJkCCNGjGgW5UJeXp5IzNiwYQN2dnaYmZlhbW1Nly5dGDZsWJMDNhkZGVhaWlJRUSHWFmmOdOzYkQcPHjQ5EAaPg31eXl5MnDiR0NBQ/vOf//A///M/AGzbtu2pto6q0FAsumfPniQnJ4ukjujoaMH5/qJ3ID8/n0mTJmFtbY21tbXQ+aqsrHxmMEv6LD8/nz179pCYmEjPnj2xs7OjW7duGBsbizF5GVtB0lg9cuQISqWS7t2788UXX9CmTZt/rCoMGtPk9e3bFy0tLUaOHMnIkSOBxwk9Li4uuLq64unpyeuvvy7+1lzExsaye/duunXrhpmZGXZ2dvw/7t47vsez/eN+JwRNYsRIrCAREiRBUrGiqK0oKUGN1LhVqy2K2jVvqnbN1l6hIkZIqIiRkIhEdiJ7L1myxzfjev7wXOctamR8tc/v+fzlFd/rvM51HedxHuNzfPXVV8ybN+9vcvdN45f/NnfuXDQ0NOjbt6/g/j9y5Eit68PEx8ezcuVKunXrhoGBAZ06dcLIyOiNEb21WZ99+/ZRXFxMmzZtMDExwcLCgjVr1vztd9U5h+Tf+vn5sXr1auzt7SkrK2Pjxo389ttv+Pv7065du0p769y5c1y4cIEWLVpgbm4usiU/RL0mOXty06ZNdOzYEXt7e7p164a5uTlOTk7VNmC9jlu3bmFra4uWlhZdu3Zl6NChDBo0SNA8vo6JEycyb948vvjiC4YMGUJRUREpKSkfhFpN1vE1NTXx8/NjwoQJ6Orq8sknnzB48OA3ZhLUq1dP1GP58ssv2bBhA9nZ2aK2kLL0lKCgIAoKCkhJSWHTpk1YWVkxePBgjIyMGDVq1BupsOX9o6ury5IlS4iLiyMwMJDAwEBKSkoYP368yEquCrZu3cro0aO5c+eOGNPBgwfp06fPW9evJsjJyWHgwIF88sknDBs2TBR9l+W4r68vO3fuBD6snirP35w5czA3N8fHx4dbt24BL8+Fx48fs23bNlFry8jI6I1Z6lWRQZ6enowZMwZ4GfibkpLCsmXLGDZsGEuXLsXR0REbGxulnTlysEL9+vVF5rCZmRn169cnJCSEJk2acObMGXR0dNDX16dPnz785z//qaTfvKsv8h0+IyODixcvEhQUxKNHj5g6dSpXrlz5x2omvQkyLdy9e/eAl3WkLC0tsbOz4/vvv6dbt24UFBRw5swZhg0bBoCjo6OQfco897W1tdHW1ubOnTuMGzdOOBiPHj3KpUuX2LRpE59++ql4p0zvJtMOygFnnTp1ErT3b6LZVSZerZXcvXt3jh8/zubNm2nVqhV5eXl06dIFc3NzpkyZUum5f/O+9tFHH9G5c2fOnDkDvKQW9vDw4MaNG7Rr1058e+9Ds2bNmDZtGocPHyY2NpZGjRoRHBwszqOmTZvy2Wef4efnx9mzZ1FRURHB7n379qVly5YfXG9MS0vD2dmZCxcuUF5ejrGxMSNGjMDS0pKmTZty6NAhWrduLWxB5ubmDB06VJwF6enptdZv1dTU0NfXx9vbm82bN2NkZESHDh3o2rWrsP9UF9u2bePAgQMEBQXRtWtX6tatS2xsrKh7KZ+1b+tzcXEx9+7do1u3buzdu5f27dtjZGSEsbExFhYWjB8/Xjxbm716+PBhzp07h6GhIf3792fEiBGYm5tXi0ZPkiTq169PWVmZqGuWlpaGu7s79+/f58GDB3z66ac17qOyoKWlRWlpKQsXLiQuLo68vDzGjRsnGG0KCgqqVH5Axv379wkNDaV58+Y0bdpUrNGYMWOoV6+eqJNalbauXr3K7du3adOmDUZGRnzyySeMGzeuynf0VxEQEMCVK1eoqKigbdu2wqb+ai0+ZeHVzNtz586Rk5NDYWEhzZs356OPPqJbt26C5UPGRx99RNeuXTl//jwbNmygcePGWFpaMmLECPr166cU++X/+cywVyFJEs+ePcPDw4PHjx/j5ubGypUra61kxcfHc+vWLZydnXn27Bnq6uqYmZkxZMgQJk6cqBTBX1hYSG5uLklJSQQGBhISEiJSHbW0tPj111/fGOX2qqHm0aNHuLu7ExcXR4MGDejWrRvdu3dn0KBBby1GV1WEhoby+PFj3N3diY6OpkGDBhgbG7N169YqjV+hUODq6srNmzdxd3fnxYsX9OrVSxze1UVJSQmRkZG4ubnx+PFjIiMjRXTp8uXLqx1BlJeXx7Nnz0R7iYmJNG3aFDMzMwYOHFitS9X7IAuDI0eO0KRJEyZNmvSPGb8TEhLw9vbG09OT2NhYWrRowb59+8T/S5JEWloaGRkZpKSkEB0dTXx8PDk5ORQVFWFiYsLChQvf+Y7i4mISExNJT08nMjKShIQECgoKyMzM5Ntvv1V6jb3XkZ+fT15eHjExMQQHB5Oenk5iYiJLlixRqoGluLiYtLQ0tLS02LNnD6WlpRQWFvLRRx/RtGlTjI2NxWVD/r0cbbl06VJat26NQqGgvLyc0tLSSt93aGgonTt3ZsmSJXh6etK6dWu6du1K3759MTExETWlqoOsrCxBeRYbG0tqaiqlpaWiZtzryn1t4OPjg6mpKadOncLLywtVVVWaNWtGly5dhFNdjiB7l2xetmyZmIuKigr09PQwMTHB2NhY1JB5FcnJydy7dw9HR0eCgoKoU6cO5ubmDB48mGHDhinVGVoTfPHFFxw8eFCkgpeVlXH//n309fXp0aMHTZs2ZcKECR/8wvc+pKWlkZiYSFxcHAkJCcTGxlJQUICbmxutW7dm2rRpWFhYVDn6+nVIkiRkixxhqVAoUFdXZ+PGjUqNLnw9y7I6KCwsJC8vj+TkZIKCgggJCRFKsZmZWa2pjJ4/f46Ojg6nTp0iNTWVFy9eUF5ejqamJi1atGDu3LnV6rtcQ+r27dt4eXlRVFREv379OHbsWJXbKCoqwtPTk8jISKKiogQnvJWVlagvVRUsX76cFy9esHz5clq3bi0iMS9fvszNmzc5cuRIlduaPHkyv/32Gzo6Oty5c4ejR4/i5+eHgYEBlpaWTJgwQak1Pd+E+Ph4/vzzTx49esTIkSOZMGECR44coUGDBixduvStlHXy33/55ReeP3/O4sWLq5y5Lj+7e/duEhISMDMzIzIykvj4eLKzsxk5cmSVaTTfBIVCgYqKCmpqapWi6/5JR5iM4uJiHBwccHV1Zfbs2aKWjmxYjI2N5cmTJzx48IDQ0FDKysro2rUrZmZmzJw5s8qRvomJidy9e5ekpCRBCygb3XR0dDA2Nq6SnpCSksLDhw9xdXUlKioKbW1tevbsyYIFC2rlKC8vL8fT0xN/f3+Cg4PJzMxEQ0MDfX19DAwMMDU1rXWEvEKhwNvbm7S0NGJjY4mPjxeBKnp6enTu3FnUV60u5Cx0meZn27ZtdO3aFWtra/bt2/fWzCt3d3du3rzJo0ePSElJoX379nTv3p1Vq1ZVi26oKrCysuLy5cvMmjWL9evX0759e6ysrFi3bl2VC7+/Dfn5+QQHB/PgwQO8vb1JSEigWbNmGBgYsG7dur+d7Xl5edy5c4f79++jo6PD3Llz/xE9paCggLt373L9+nUiIyO5e/fu335TWFiIl5cX+fn59OzZs9b3yPchJSUFe3t7QTmlpqaGtrY2q1ateue9ISEhQdDHylHw3bt3R09Pr8prOXHiRC5dusSMGTPYunUrbdu2ZeLEiaxbtw4TExOljE/uy6NHj3jw4IGQQ61atWLIkCF0796d3bt34+LiopT3vQ8yZblMQ6uiokJeXh4NGzYkKioKPz8/UROnoqKC1q1b07lzZwwNDStRk78P69evp0WLFowePZrvvvuOqVOnYmVlhbq6Ot999x1WVlaVnCLKQmZmJurq6hw8eJD79+9jZGRESkoKq1evJjk5mYSEBKKjo0lPTwegVatWtG7dmi+//LJKBrYvv/wSU1NThgwZwvPnzzl9+jRbt26tdRB2bSDfQ7OysoiKiiIwMJDQ0FA8PT3p2LEjJ06cYMeOHTg7O2NqaoqqqioNGjRg9uzZopaSMvudnZ3NF198IfZ0aWkp/v7+XL9+nZ9++umNjsOkpCRiYmKIiIggPDyckpISiouLsbKyUqot5m3Iz8/n+PHjzJs3j4ULF/LZZ5+RmprK0aNHMTY2pk2bNvTt25dOnTq9lx3pn0JqaiqBgYGYmppWO7v5yZMnNGvWjBYtWtCoUSNCQkK4ffs2+fn5DBkyBBMTk78FfMnMMo8ePcLLywtvb2+WLVsmnDcfGgUFBcIJ/eTJExITE5EkiWnTpjFjxgzOnz/Prl27UFdXp0uXLgwbNozBgwfTvn17pdBLy0hISBByMiEhgbS0NH766adqyUcZeXl5/Pnnn/j6+tKjRw+uXLmCk5NTlZ6V7W4tW7bk119/pby8nJKSEjQ0NNDW1qZr165KC7LJysrCxcWFW7du4evrS3l5OaamplhYWDB79uz3BgPI829nZ4e6ujqjRo16o/3zn5ah8vtycnK4cuUKt27dwtTUVNjybty4ga2tLebm5syZM6faTFcKhYLo6GiCgoKIjY0lOTmZ8vJymjRpQuPGjZk9e3aVKZ4zMjJITU0lIiICX19foqOjKSwspE2bNujp6TFv3rxqUd7KjBmPHj3Cw8ODkJAQVFRUaN26NQcPHlRKjWL5PXXq1GHlypUMGTKE4OBgsrOz0dPTw87Ojvnz5/PZZ5+90yb++PFjnJycePjwIcnJycybN48ff/yxVv36/40zLC8vj7S0NFF3BF4eaCoqKmhoaNToo3oT7Ra8zMRycHAgPDycM2fOfJAPVja0x8TEEBUVJer5VBXe3t64ublx69Yt5syZg7W1dbUdLq/TG8lGxYqKCjw9PYmOjn5neqj8vMxDX15eLgx7z58/JyIiAktLS8rKymodZZ+bm0twcDBOTk7MmDGDzp0712pd0tPT8fPz486dO6SlpXHixIla9e9NmDNnDgqFgoULF9Y6IvVtkNempKSEuLg4oqOj+fTTT6lXrx4KhYKkpCT09PTeuIby37KysoiPjxdUVQMHDqzSXoqKiqJ9+/YUFhaSkpJCVFRUlWm2aoMXL15w7949evXqha6ursh2MzQ0/CAHq/xdZGVlER0dTVRUFCEhIRgZGTF16lRBgeLh4UFMTAxnzpzh+PHjNG/eXCgN27Zt45tvvnmjY6GwsBBPT0/u37+Pv78/mZmZ3L59u8Zp/jKFodxfueCpubm50p2yhYWFxMbGCgdcfHw8KSkp7Ny5s0qH66RJk/jxxx9RUVEhKipKKJulpaVUVFTw448/vtNwGR4ezs2bN7l8+TJdunTh8OHD/1rWVX5+Pjt37qRnz54cPXpUUD+OHDlSZCAnJSXxyy+/KC0zqrbw8/Pj8uXLxMXFkZKSgrGxsXCOREZG0qFDh2oFNLw69/n5+SQkJNClSxeKioqIiooiNTWVoUOHKu1Mtbe35+TJk5SWltK1a1eRbV1V+oDXUVhYKKgnAAYNGlTri1V+fj7q6upIkkRqaiqRkZE8e/aMsrIywb//LsjF0t+0Z6KioggPD2fUqFHv7ae8Nl5eXnTq1El8n4mJiaKwb3WMi5mZmezatYvS0lIREfz06VPq16/P2LFjKwUKvAvR0dHMnDmTPXv20KRJE9FWZmYmycnJSjNUVgWenp4cOXIENTU18vLyMDExwcbG5r0RseXl5fz000+4u7uTl5cnskZepZp5E+Q2Fy1axIIFCyoZXvz8/Khfvz5dunSpkUw7efKkyKLQ1dXF0NCQJk2a0Ldv3w+Wvf0myPvywoULXL16ldzcXFq2bImWlpaosfS6flRUVERERISgUTx69GiNnPIFBQUkJCTg6ekp9KNvvvmG3r17v3E95XmWaS1fdUplZGR8EHrb/Px8nj59ipeXl6CqnTJlitJkZElJCSUlJTx79oyYmBjCwsJQV1dn2bJlNX5HWloat27dolOnTvTt2xdPT0/27t2Lra3t3377Jv2/oKCABw8e4ODgwO7du5VK2RkREcFvv/3G9u3bmTVrFufPn6ekpARra2uuXbumtPfISE9Px8fHhwcPHrBx40ZB9VlUVERoaCjx8fFoaGgwaNCgD3buy9/YH3/8QUJCAhMnTnxj9Pqr661QKJg5cyba2to0aNCA3NxcNDU10dHRYcGCBR9cj5cpGm/duoW1tTVGRkZ/o3V/NbteoVBw5MgRXrx4QaNGjap1JkdHR3P48GEWLVrEqlWrOHnyJHl5eUyfPv2D7IlXIdcFvnXrFnfv3qVPnz78/vvvSjXYvg55Hl1dXVm/fj1NmjTBzMxMsHi0a9fub47PsLAwPDw8ePLkCc2bN2fjxo1VHne53AAAIABJREFUlg+JiYls3rwZVVVV8vLyOH36tLALjBkzhosXLyotm0q+j23evJlx48ZhampKdnY2Dg4OlJeXY2ZmRvfu3SkvL0eSJFRVVYXci4mJ4fnz52zcuPGt7ZeVlVFYWEijRo2E7iafvfb29qJOtTJrb9UEslwtKyvjwYMH7Nu3jwULFgi9Sw4ifvHiBdbW1rWih30XwsLC2LhxowhSrlevHvn5+Xz55Zd/o79/VY9JTEwUtOk1dXBXF3K7cXFx1KtXDx0dHR48eMDBgwdJTk6madOm1K1blz59+nD9+nUMDQ2rFWimbMgy4uHDh5w5c4a8vDxxnhgbG/P555+/t/Zkbm4uK1asoHnz5rRo0QJdXV2MjIzQ19d/ayBeUVEROTk51KlTRwSlZmZmUqdOHZo0afKv3LEzMzN5+PAhLVq0oF+/fmJuIiIicHJy4sGDB4SEhHDhwgV69OhR6/dVVFRw9+5djI2NK5V7CQoKom3btoJWvyb79N69e+zdu5eUlBSOHDlCly5dqhwgKteiTE9PJyoqisjISMLDwzEwMOCrr76q9bfzprWNiYnB2dmZK1eucPLkyffKErmNL7/8kiVLlgiaajU1NRwcHOjZs2eN7+i1wauBi3JW4YsXL7C3t6dRo0asWbOGJk2a8PvvvxMYGFhjpyf8jxo5ICCAsLAw4uLi3llT931IT08nLi6O4OBggoKC+OWXX2qlPxQVFREcHMyTJ0/49ttva9zO2zBp0iSOHz/OsmXLWLJkCZ06dWLJkiVMmTKFXr16Vdqnsi9BoVBQWFiIJEnirpWbm0tBQQGtWrWqlc70f9oZJk9WVFQUFy5c4NKlS/Tp04dDhw6RlpZGo0aNasUjKbeflJTE7du3ycrKYvz48Uqn75AXMC4uDltbWzw8PNi8eXO1MmgqKioICQkhICAAVVXVSlkeNRV+ssC6ffs29+7dEx+rsbFxtdq+evUq9vb25Obm8ttvv9G6dWsh2Kt7aMrvKyoq4t69ezg4ODBs2LBKBXiri1frCNy8eROFQsHQoUP/JtCVqYApFArOnj3L/fv3yc3NpV69enTo0IGPP/4Ya2trpbwD/tfnzZs3k5uby9OnT9m/fz/6+vrExMTQuXPnN86/q6sr58+fJysri1OnTlXpO3q1LtKDBw+4c+cOPXr0YNOmTWRkZNCkSZMPftl3cHAgICAAb29vevbsybp160QBzPfRolUX8nj37t1LvXr16Nq1K/r6+rRt25aysjIkSRL0V/n5+bi4uHD27FmSk5MZO3YsDRs2pEOHDuTm5nLq1Cn++uuvSmMJDg4WnOSvFvCWjW7V3Y/l5eVcvXoVV1dX0tPTsbW1/SAXbrnNsLAw8vLyKhkyFQoFkZGRb6QufB1RUVEsWrSI69evAy8vdy9evCAtLU04V6dPn/63S/Tz58/x9fWloqKCUaNGvdWg+W/A29ubgwcPkp+fT+fOnXF1daVbt24cOnQISZIoKyv74Jzr74M8P97e3hw/fhw/Pz/++9//iqgyed+VlpYKGVLVfSS3febMGRISErh//z5r165lwIABf6vbWFPI/YuMjGTVqlVs3ryZ+fPnM3DgQOzs7NDU1MTNza3K8/zw4UP279+PJEkcOXKkRkb3N0Gei4sXL+Ll5YWZmRkdOnSgS5cuNGnSRMzp+/arPN7bt2+Lemwybav8XFX3fFZWFosXL6a4uJhevXoJKtX27dvXyCAtZxyEh4ejrq5OkyZNmDZtWrUML6dPn+bQoUMYGxtTUVFBmzZtMDQ0pGvXrujq6tKgQYN/xPAkSZL4RkNDQ9HS0nrvhe1NheITEhK4ffs2N2/eJDY2Fm9v73e2UV5ezo4dO9DQ0OCLL75AS0urxnqtvFf8/PzYt28fw4YN4/fff2fw4MFcv36dUaNGvdMQ+CEg781Zs2axePFiTE1NiYyMxNfXlwcPHjBy5EjGjBlDYWEhrq6uhIWFMXjw4FplmJeVlZGdnc2dO3do1aqVoD1//vw5WlpabzUCyX2dP38+kydPZvDgwcLoGBkZSfPmzZUWQRkVFYW3tzdFRUWVCtrLxt7a6KPyOMrKyrhx4wbl5eWMHz8eeLlnFQpFrWrkPn36FDU1NbFGMTExpKamCurX1+VSWloaTk5OBAYGMnr0aIYMGVKjcVUFco2fR48e0bJlS/bv38/p06d58uQJ+/fvr7F+8Grw2JUrV/Dx8WHGjBmi8Pjr2LJlC15eXoISCWDhwoWVdD1l46+//uLs2bM8e/aMkpISLCwssLCwqKRHyWv+8OFDTp06xa5du0hKShJU21lZWYLSWxl4ld3ExsaGESNG0KtXLz755JO3ZgTKZ+O5c+eIiYlBS0uL2NhYtm/fjouLC5GRkXz99ddVerfsEDl8+DDnz5+nffv2bNq0ifPnz5OTk8PWrVuVNlaAJUuWMHv27LdS+yrj+34f5L26efNmtLS0aNq0KZmZmVy7do2mTZvSqVMnpk6dirq6OgEBAURGRjJ37txKdb+r2keZKjkiIoKMjAxMTU3R0NCgqKiIO3fucOvWLQ4cOKB0vXzSpEmcPHlS7OtXg3nlANF79+4REBDArFmzaNGiRSVH19tw48YNcnJymDZtmqh7I58BhYWF3LhxQ6l3+OpA/i6ePHnCxYsXcXFx4ciRI9y/f5+jR4/SvHlzTE1NGTVqFIMGDVJ6fd634dChQ/j4+DBo0CCSkpKIjo5GX1+fn376SfRZ2Q7umkDuyw8//MD06dMxNzenqKiIpUuXYmxsjK6uLv7+/vz8889s2LABc3NzxowZ86/dKeX3rly5klatWvHDDz+QlZVFQEAAt27dok2bNnz//ffvbUOuRR4eHk5GRgZlZWVoaWmho6ODoaFhpQDFpKQkzp8/z7lz5+jduzeHDx/+x9bn1T67uLhw6NAhDA0N2bBhQ6VvOykpCTc3N4YOHfq3AKXa2jzkeQgKCmLevHmoqqrSt29fOnfuTPfu3TExMVFK8E5FRQXnz5/H2dlZ7L/3/V4+x+rVq0e3bt3o0KEDOjo6FBcXU1FRIYIua3quyM/m5eXh6upKSEgIFhYWfysbVBUUFRVhbW0t7DuyM2zcuHEcOHDgX3GGyfjmm29YuHChCHbbvXs3V65coV69emhoaNCxY0ciIyP57rvvGD58eJX2lLw+wcHB+Pn54ezsjI2NTY2y9eS2iouLcXR0JDg4mGnTptXIN/FqzVRbW1uePn3KkiVLKpUgUTaKiorYv38/8+fPZ/Xq1QwYMIBBgwYxa9YsbG1t33j+Zmdnc/z4ca5fv07Hjh35448/yM7OpnHjxkqRO/8eya0SINfTuHz5Mh07dmTdunXCQ29vb8+uXbtq1b4sMDZu3Eh2djanT59GVVUVhULB5cuXyc3Nrd0A/l/Ih+iKFSvo378/eXl5gj5t7969xMfHv/VZeQ58fX05cuQIDg4OIh392bNn+Pj41FjwyRF4Bw4cYOzYsSQlJdG6dWtKS0vZuHEjmZmZ7207LS2N06dPs27dOvLz82nXrh2ZmZksWbKEwsLCaisQ8niPHTtGWFiYoCQBuHLlCm5ubtUepzyG1atXExoayqZNmygqKiI/P5+7d+9SXFxc6XfKQL169Zg9ezanT5/mt99+Y8GCBbRs2ZLIyEjgf1mJtYWKigoZGRn4+vqydu1aGjRoIBxgW7ZsIS8vT/xWfmd0dDS///47EydOJCcnhwYNGhASEiIuLG+D/PylS5do2bKliOKCl2tz8+ZNpYzpbeMEcHJyEsWR5eif69ev8+jRI6W/U1VVlfz8fCIjI7G1teXq1avs3r2bn3/+matXr5KTkyP61rBhQ8aPH8/ixYtZunQp3bp1Izs7G2dnZ4KDg5k1axbwUlGTvwkHBwcWLVrEyJEj+fLLL9m1axd+fn5CuavqfpTX7MmTJzg7O9O3b19hfPHz8+OPP/5Q6rzIOHfunMigsbOzY/To0Vy/fr1KjjBAUErC/6IcW7RoQbdu3Rg6dCizZs36myOsqKiIX3/9lQsXLrBt2zaRYevr6yt+809fWkJDQ8UamJmZ8e2335Kbm8uzZ89QUVERtB8ODg48f/78H+3bmyDPzy+//MLQoUNp2LAh3bp1Izc3V1x8KioqRDHZV7OHq9r25cuXGTNmDPXr1xcK3O7du0lMTKx1/2U59PDhQwYPHkxWVha9e/dm3bp1rFmzhgULFqCmpvZOWSYjMTGR/fv3s3TpUlE4ODQ0lF9++YXS0tJa9VOei+DgYHx9fXF3d+fy5cssWbKE3bt3i3PtfftVRUWF3NxcDh48yMKFC8nIyEBXV5esrCxWrlwp6ji+C6/KiMaNG2NiYkJZWRnnz59n8eLF7Nu3j6CgoGqP0cDAgHnz5rFjxw7Wrl3Ljz/+SGZmZrXa8PDw4LfffuPIkSPMnj2b5s2b8/DhQ3bv3s3ChQvx9PSsdr+qivLycuBltOfRo0dZuXIle/fuJS0tjZKSEuDdZ/W+ffvo2bMnixcv5vLly2RlZaGrq8ucOXO4dOmScIS9q43IyEhcXV1xdnbm999/x97eHg8Pj3fqhW9DWVkZAI8ePWLEiBHo6uoyePBgfv75Z2xsbESUb1W+DWVB1jNbtmwp+mdgYMCkSZPYv3+/qAW7c+dOnj17JmqnwcsaTXL9zKpAHpeXlxdbt27FxcWFy5cvAy958+X6be/qK7ykc5MjQuW127dvH9nZ2dUZ+t8gtxUZGcn27dt5+PAhzs7O4m/e3t61qhEnQx7HokWLiI6OZvXq1WRkZJCdnU1QUJAwktbkHevXr8fBwQFra2uio6PJy8ujoqJCOIVelUXyeLdt20ZFRQVPnjyhqKgIeKk/hIWF1XiMr0N+V1RUFKNGjcLIyIi8vDwsLS2JjIxkwYIFSnnP2rVr0dDQwN/fXxRgP3HiBFFRUaIPMTExPHnyhCtXrvDTTz/xxRdfiAClDxmfOmLECM6cOYO3tzeXL1+moqJCBOfIkN8fFxcnzn+5Dre1tTU2NjZK7ZP8voKCAkxMTIiJieHUqVMMHz6cKVOmcPDgQVJTUys9I+9LT09PZs6cSZ06dYS+7+XlRWFhIfA/+f02qKioiP04ffp0bGxsqFOnDjY2NmhpabFo0SKljhVg3Lhx/PHHH6LG5+tQxvf9Pshj9vT0ZMGCBUydOpXvvvuOS5cuoaWlJYI1N23aREBAAI6OjigUCnJzc4U8qmof79y5Q2ZmpsgSlXX2iooKkWWoLMjU+FlZWbRq1YpLly6RlpYmAhNfxapVq0hISOD8+fMEBASITA/5DHobXmXl2LFjB46OjuI+lZmZ+cbae/8UZD38v//9L/Pnz6dNmzZoamoSGBjIsGHD2LBhA61atWLPnj1YWFgwYsQIFi1apBS9+1345ptvmDBhAtHR0ZSVlTFs2DBRF+bVwAh4eabn5+fTtWtXEVji4+PD0aNHP2gfS0pKBO25hoYGbdq0oU6dOmhqaqKiosLIkSPx8fERtTtLS0uFDvhvQZ67Dh06MG7cOOBlXa9Bgwbxyy+/vNcRJrfRs2dPJk2axOrVq/nll1/44YcfMDY2Jjo6WtxJZVl65coVmjRpIhzp8t+UHTTwJsh7xM3NDScnJ7744gsiIiKoV68e9+/f58CBA8BLe+j69esZNGgQlpaWrFy5UtgGa2s4f9XmOnXqVFatWkWnTp1wcHDgxx9/ZOHChVWmNnzXO1RVVRk3bhzm5uZVypqVnSNhYWEcP36cc+fOsX37djZv3sytW7eEXlXbrDCA/fv3ExISgr29PUlJScBL25ts76kKysrKMDEx4caNG8DLOmzR0dGoqan9q46w4uJiOnToUGksM2fORFNTk6NHj3L58mWWL1/OhQsXRNmA6uypffv2UVZWRlZWlgjIPXnyJDExMdXu6+rVq8nOzsbe3l7cia5du1YtO5K8H1atWkXfvn0r6SQ7duwQ7SoDsq6Xk5PDt99+S8OGDZk8eTIODg6sXLmSTp060ahRo0o6sLznbty4QUVFBStXrqR+/fqoqqry6NEjpQVv/p92hskHQWBgIIMHD8bT01MUfEtOThYF2t+nEL8J8mLEx8dTWFjI4sWL6dixI3p6eiJaRVkR/LLDQpIkPvnkE5o1a0b37t2pU6cOd+7ceacglPt569YtRo8ejY2NjXBAeHh4cOnSpUq/qyrk3z99+hQDAwMsLCxo2bIlTZs2JSsrC09Pz3dm2sgb+PHjx/Tu3RtVVVU6dOiAiooK2dnZJCQkiCiF6kD+cH19fZk0aRJGRkaiuPHDhw9F4dWqGnNeXefMzEzWrl2LsbExHTp0oLS0lB07dij1ciq3lZeXx+HDhzl06BCNGzdm4MCB/Pjjj6KYpDIuQvK7fHx8+Pjjj8nKykJbW5s6deoQGxtLSUkJjRs3Fr+T5+z+/fsMHjwYTU1N4bjIycnB29tbGK7eBPlACAkJYfLkyWRkZIisoMePHwtalQ9haJNlQUZGBr169SIpKYl+/foBL2lN9fX1K81JbSGP4cGDBzRt2hR7e3vmzJlDt27dhGF7586dwiEmv7t///58/vnnjBkzhjVr1rB582ZWr14tMjllCh14qSwcOnSIs2fPMnr0aG7cuMHXX3/NqFGjqmWYlsd89+5dJk6cSKNGjQQ1V3R0NKGhoZXGVFvI+yAwMJAJEybg7++Pm5sbU6dO5d69e1U2XrZp00ZEzbwpo/DVy63c90ePHtGgQQN27dolslni4uL49ddfazusGqG8vJzbt2+jqqrKwYMHuXHjBi1atEBNTQ17e3t0dHTEPj137lwlo9S/AXmveHl5oaury4gRI2jcuDHa2tqUlZXh6OhI06ZNKxk0qyqr5LYDAwPR1dXF1NSUBg0a0Lp1a3JycvD19a1RLbzXIfctKysLS0tLAgMDRcZZXFyccGK9q9/yfnJ1daVfv34i8xNeKsvBwcGoqanVWJ68GniQmJiIs7Mzq1evZsyYMZSXlxMfH8+WLVvw9/d/ZztyPz09PTEzM0NbW5t27dpRr149cnJyCAsLq1LWlNwfJycnZs6cyZo1a1ixYgWHDh2iS5cuhIWFsWPHDpKTk6vUjty30tJSysrKKC8vR01NjWPHjrFnz5739udVKBQKunTpAkD//v354YcfOHToEDt27MDa2lrI9g8BeY/s3LmT8PBwTExMaNCgAS4uLvz888/cvXv3nfvo22+/Zd++fbRp0wZbW1s+++wzRo0axfr16/nrr7+QJImKioq3tiFJEoaGhtjZ2fHzzz+jo6ODp6cnW7ZsqWSUrCpknTU6OhpDQ0MeP34sAsgKCgo+CM1fVRAdHU1sbCybN2/mwoULPHjwgPDwcPLy8sR54uvry+LFi+ndu7egxjxx4oQw5FXlW5R/4+DgwOjRozE1NRXUk56eniJK9V1txcfHo6WlJQzuampq5OfnExERQYcOHWo2Af8vXjUIDhgwgEmTJgnDQHBwMGfPnn1v/94H+dmAgADKysqYMmUKZmZm6OjoUFZWxoEDB6p9t5HbTEhIIDIykm+++QZTU1P09fUpLy9n69atKBSKvz0nr21MTAyzZ8+mY8eOIpvsypUrIhBNGXqbiooKCoWCZcuWYWRkxNKlS1mxYgVXrlxh+fLlQsbUNFhG1o1TUlKYMmUKenp6wkHj4OAgxi9JEsHBweKe1qhRI0xNTVm4cCFPnz5VuhPkbXPXqVMnli9fzrJlyypl6srjj4qKYs+ePezcuZPHjx8LBgtl12+TcfjwYWxsbDhy5AiXLl1i0aJFNGnShKdPnwqD2et9bN68OREREbi4uAg6sODgYAYNGlTpd29Camoqa9euBV5SZ2pqajJ79mxOnDjB/fv3mTNnzgehjrO0tGTIkCG4uLiwbds29u/fj52dHW5ubkRGRnLx4kV8fHyU/t7XId/BAwICxN/q1KlDbm4uv/76K+7u7nz00UcsX75c1BPKy8vjwIEDVa5jKkkSycnJzJ49m6tXr1YKFtDQ0MDCwkLoVcoIUrO1teXevXtkZWWRnJyMk5MTp06dwtbWljt37pCQkFCpbIBcUuHjjz9GVVWVkydPCqPx25CSkiKMoIGBgYK2GWDPnj3COPxP41WdsmnTpkIPbNOmDdnZ2URHR2NpacnatWtxcXHB39+fJUuWUFBQIOTsh0Bqaiq2tra0bt2an376iVWrVvHFF1+IDFhZ3inLwV1TuLu7i+BJf39/EZynUCj44YcfaN26NT179uTQoUNs27YNb29vcXf7t5hG4OX8Hjp0iLVr176XZeBNkPdNSkoKV69e5eDBgwQHB/PZZ5+xc+dOJkyYAFS2vQ0fPhxvb+9K9la5ftKHWp9X++ru7s7QoUNp3LgxPXv2BF7Og+xQSEpKYvPmzdjb27N161bCw8P5z3/+g6Wl5RtrY1YH8lpfuXKF0aNHM3r0aObNm8f169cZOHAg7du35/bt2zUObJUzlQEaNmzI999/L3SFt+F1+8eZM2ewsbHBwMAANzc33Nzc2LNnT63tC7K+9vTpU5YtW8bHH38sMtbOnz9fLV28YcOG9OnTh8OHD7Nw4ULmzJnD3r17hWz9kPvoXQgICODEiRNCNzp27Bg///wzjRs3Jjk5mTp16qCjo1NtmmhVVVUKCwt5/vw5NjY21K1bV1BV29vbV4s1S9Y1Y2JimDNnDiYmJuI7sLW1rZTk8D7IwbSlpaUMGjSIZs2aCR38/v37SqMvhv/ti02bNuHh4QGAubk5CxYsYMmSJWzbtu2tz/r6+jJ06FDCw8PFWGNiYkQWWW33y/83CpPUECoqKlRUVGBhYUFQUBChoaEiOiEkJEQUFq/NQeXj44OFhQXe3t7iohsTE4O2tjYfffSR0tKjo6Oj6d69O5GRkejo6KCmpkZoaCiampo0a9bsramtsnCKj49n5syZ7N69mzFjxgAvFXz5sKqoqKiW91p+V1JSEiYmJly8eFFEPPn6+goF8G3pofKcFBUVYWxszI0bNxg7dizw0oEgb+bq9ktVVVUY2Nq2bUtQUBA//fST6KtcY6W6F0pPT0/69OlDQECAMMgmJCTQvHlzpa6z3K9FixZhbm7Ob7/9hpWVFaWlpTx58oRPP/1Uaanm8rs0NTXR1tbm8OHDjB49GngZ3SbTdMhrIL+3sLAQY2Nj7t+/Ly6Yjx49olevXpV+/ybk5eXRrVs3/vrrL1JSUoRQff78uUi7/VCKY05ODr1792b37t2UlpbSokULnj9/Tn5+vjiwlW1ocHNzE0ZobW1tQeVVUlJCSkoKzs7OTJw4UfRv//79xMbGoq+vT+vWrdHT00NHR0ekY8vfeWBgIE+ePBGX9c6dO9O7d28uXrxImzZtcHR0pGvXrlWaS3mt6tati5qaGteuXWPq1KnAy0vG6xHuyoAcjfnw4UMcHBwYNWoUo0aN4sKFC9Wm5qhOWr+npyeDBw/m5s2bYu/J8w21p0ioLkpLSxkxYgT5+fmixpGjoyPFxcVs376d7OxsWrVqRXFxMQqFolINmn8TSUlJdO3aFWdnZ2Gs8Pb2rtU8ymuYn59P+/bt2bt3r5BBPj4+4nytjawtKSnh4MGDLF68mPHjx6OpqUn//v3ZsmULv/76K56enuKbete+erWumSwLZQObq6urCMCo7vklQ363l5cXjRs3RkVFhZYtW4paSX/++ScTJ07k0qVLb6zt8no/s7KyMDU1xdHRUVwm3N3dhdx733rJ/5eRkSGKyUuSRIsWLSgqKmLnzp2sXbuWmJiYv9USeRUqKircuXOHPn36oKmpKfonK6peXl6MHDmyqtNEcXExX3/9NZqamuLCJ2ciamtr8/nnn1e5rZpAVVVVZOtu374deDnXWVlZJCQkYG5u/s7nNTU1sbS0xNLSEnh5Dvr4+ODu7s7mzZtFMfa3QUVFhbKyMtTV1TE3Nxfvy8jIEHNa1e8lOzuba9euYWNjw8qVK2nevDk5OTnY2tqye/du/vrrL1H/4p8sWg0vHQIzZswQ9enktR4yZAijR48mJiaG5s2bU1FRQXZ2Np07dwZe6peywawqfZb3uayPXLt2TVAQ+vn5if30LtnQrl07jI2NmTVrFl999RW6urrcu3evyhnP74K8jrGxsQwcOJDLly+LSPSgoCAhC2oqd6Cy7JFpq2S5HhgYWCloqapyWG7z0aNH9O/fn/z8fOFIiIyMpLCwkPr167+xzcjISJHJWlpaSrt27VAoFJSWlorx1nY/yvJPdmgDNGnSRGQeKEv3CQsLQ19fXwRBtWrVSjgAZGcbvMx8dHJy4urVqwwbNoysrCzs7OzeKetrCpl6ed26dcTGxjJx4kRBQXjz5k3S0tKAyutdVlaGhYUF2traJCcnc/bsWSRJomHDhmzYsEGpNQVltpWEhIRK9TemTp2Ku7s7c+bMYc+ePQwePPhvNEDTp09n79695OTkEBkZyb59+9DU1BT3y3ftm0aNGvH5558TExPD2LFjady4MT169GD48OEMGDBAKZTNb0KdOnUYN24cvXv35t69e8THxxMSEiLqJ1lbW4tA3g8JXV1dJkyYwMaNGxk0aBB6enrcvXuXzp07ExERQYMGDbCwsMDZ2VnI29DQUNq1awdUTQdUUVFh/vz5fPzxx1y7dk3YJNq2bUtBQQFFRUU0a9YMhUKhFPkZHR3NokWLMDAwYNeuXURFRREQEEBwcDAuLi7MmDEDXV1d/Pz86Ny5M2VlZcLBm5SURFFR0TvP45CQEEpLS9HU1CQ5OZny8vJKNT8jIiKUMo6aQN7rMhWlu7s7nTp1Ijs7m549ewpHoEKhoE6dOtSrV4/hw4cLfVGZkPeGs7Mzjo6O5OTkcPDgQUpKSvj++++ZOXPm3555k4NbZncKDg4WLCEfyn7g4eFBr1690NbWpl+/foSEhGBjYyPO+7FjxzJ27FiKioqIi4vj66+/Fg6gfxMNGzZk1apVPHz4kKVF2lsnAAAgAElEQVRLl1JWVoaOjg5Tp04Vtod3QUVFhaysLNavX48kSZibm+Pp6UlAQAArVqwQ+oD8rRsbG5OUlERgYCDr1q0DXuoNkydPBj6sY1Dug5xFvHfvXsGq4+3tzcCBAyktLeX06dOCDcjQ0JBOnTpx8eJFWrRogbOzMz179hRZbdWFXKalcePGpKenVzqTIiMjuXDhApMmTaqkA1W3fRlyraT3yVlZf5HLLujp6aGnp4e5uTkNGjQgPT2dzMxMbt68yaRJk6rdp1eRkpJC48aNUSgUpKamCjtLbm6uCH6vqr42btw4jIyMePbsGS9evMDIyOiNDAL/FCRJwsLCgtDQUNzc3HB0dOTAgQMUFBSIgOYWLVoQFBSEqalptWkJ5RIhT58+RUNDg4YNG5KZmUm9evWqnQ0XFBSEnp4excXFSJKEjo4OL168oLi4uFKARlUQHR0tsvKbNWuGhoYG0dHRqKurv/O+X13IayozlMn/fp1K/NX9Iz/Ttm1bJEnC09NTZAn7+PiIzPLa3hH+TzvD4OVEff755yxYsIDs7GxWrlxJYWEhRkZGYnPVZJLkZz755BMOHjzIxo0bhbC3tbUVTiZlXaJ69OjBX3/9hY2NDZ988gmhoaFcvny5ypffzz77jBs3bhAeHs6nn35KaGgoYWFhLF68GKhZanBFRQWff/65oH2bNWsW9+7dw87ODisrqyq1MXnyZObMmcOjR4+YPn06hYWFPHnyhPnz5wM1Wxs1NTXGjBmDlZUVhYWFosB4eXm5iKCoarvy7/r06cOpU6fYvHmzMIhcuXJFqessGwzk4uszZ87Ezc0NHR0d0tPTOXbsmHBWKQuSJNGvXz98fHz466+/hDGuoKBAOItfn6sxY8awY8cOfH19WbZsGTdu3MDf359ly5YBbz+k5MvyZ599xsGDB9HS0uLixYu4urrSs2dP1NXVPxi3tiRJNG7cmDFjxrB7927U1dXZsmULwcHBgr9dme+W2zEwMMDDw4OPP/6Ytm3bCoPQ+vXrOXv2LCoqKuJicPPmTeLi4hg7diwpKSlERETw+PFjDA0NhRPk1aywdu3akZWVJSLo4uLiBFf98uXLqz2WCRMmcPToUZ49e4ZCoRBFgWVDrTKdRNra2lhbW2NnZ0ezZs0YNWoU3t7eaGlpoampWS0HV1V+J8/FwIEDCQ4OxtnZmR07dgDg7Owsagr+00beBg0aYGhoyKNHjxgyZAitWrXi6dOn3L59G0dHR1q3bk12djZnz54VzqB/2mH3KuT56du3LydPnsTOzo6ZM2fi6urK9evXxV6pKSoqKujbty+RkZGcOXOGQYMGsX//fnx9fcUa1UbWenh4CKpZTU1N/P39GTZsGOPHj+fhw4csXrxYGMqq8v1YWVmxfPly/Pz8+P7777l58yY+Pj41DrqQIb9bX18fFxcX7ty5Q//+/SkqKuLSpUuYmppWKwJ/8uTJfP3117i6uvLVV1/h5OTE/fv3hdGhqv38+uuvOXHiBLm5ufTo0QNvb2/i4uJo3LgxiYmJYu7ehoyMDH766ScUCgWtWrXik08+ETVg4KUMq07BYdkgB29er3+irkpkZKQodGxqakrTpk1p2rRptS8cADo6OiIwoCrnUWFhIX/++SdnzpxBT08PIyMjevTogaGhoTBKVvUcuHv3Lu7u7tjY2JCRkcHjx48ZM2YM0dHRZGRksH79+mrrT8qCXPRcroUWGRmJj4+PCEzS0dGhS5cu/Oc//xGZbDIds0x5WtV5UCgU9OnTh9OnT5OQkICxsTHPnz8nLi6uygE73377LS1btuT69euEh4czadIkYayrDeR5HzRoEJ6enkIHi4mJwd/fX+gytdFj5Ge7d++Ok5MTf/75J9OmTQNeRoLKc1AdOSy32b59e+Lj49m2bZv4zl1dXcX3/3qbFRUVGBgY0KlTJ2bNmiUuvL///rtw0ClDb5PP04iICJydnSksLGT8+PF07doVHR0dpTExGBoa0rJlS6ytrTEwMKCgoIALFy78LYjEyMiI4cOHc+7cOezt7WnQoAHa2tpvNBLXFnKWn5WVFfb29uzbt4/ly5ejq6tLx44dK9Wjk/tYt25dRo4cSUlJCbm5uWRnZ4s6Y8p0hMmQg1rnzJnD3Llz0dfXJz8/n/DwcHr16kV2dvYbDU/6+vr85z//4fLly/z555/07t2bESNGAO8/G9TV1YXxLjQ0lODgYBwdHTl58iSrV69m+vTprFmzRuljlaGjo8OUKVPIyclBoVAIitoPeaa9DisrK5o1a8b169d5/Pgxn3/+OUOGDMHV1RVLS0uKioo4c+YMixcvJicnBwcHh7fWwHsbJEkSwUNOTk7s2rULDQ0NDAwMhKN49erVtR5Lfn4+/v7+Ilq8ffv2tGvXjsGDB6NQKAgPDxc2IV1dXdTV1Zk7d65wUjs7O783yDckJITs7Gz++OMPoRcVFRVRv359/P39ad68ebXvN8qGhYUFLi4uLFu2jCFDhvDkyRMKCwvp06cPampqlcZWXl5eiSpU2XB0dKR///7CAP/48WPs7OyIjY39Wxa1PGdffvkl+/fvJzc3t9oO7trgwYMHXL16lbCwMIYOHSocS6tWrcLT0xMDAwM6d+4sgpf/iTq1VYGGhgbW1tZCNwgNDRX1x98H+Wy9ffs2zZo1Y8uWLeTn55OYmMhvv/3GxYsXmT59eqVnrKys+Oabb8jJyeG///0veXl5tGnTRmTY/xP7ftasWXz//ffEx8czYsQIkpOTiYuLY8WKFWRlZWFsbCz0dXh5F3RxccHOzo4zZ87U2BEm46OPPmLatGksXboUMzMz+vbtS3JyMurq6pSUlFBSUlKj+k1eXl4iEKVOnTpV/i7l77lNmzY8ffqUAQMG0KpVK+rVq8fjx49ZtGgRTk5Otab1lCQJbW1tevXqxffffy+YJM6fP0/z5s3R0NCokr5WVlaGl5cXbm5uGBgYMGHChL/tm39DfsoJNqqqqgwYMIABAwYQERHBiRMnsLGxIT8/n6CgIC5evEjLli3p2LFjtWS9rOtu374dMzMzQkJCsLW1FQF91bH9dOjQgWbNmjF9+nRxb3N0dKy2HUmSJHr06IGTkxNTp07FwsKCiIgI7OzsxPejDJuUPE+JiYlkZGSwZcsWEVDQsGHD92agTZs2TQRM7t27l+Li4ko6XG3PMBXpQxKUf0DIG9bLywsTExMkSeLWrVuiroe1tbVIJaztR+Xi4sLZs2eJi4ujoqKCSZMmMXHiRHR0dJSm9OTn51NaWsrx48d5/vw5ISEhjBs3jokTJ1apkHVFRQVLlizB2dkZHR0dDAwMsLS0ZMaMGTXuU1lZGWVlZeTk5HD58mUcHBzQ0tLi+++/x9zc/L1UCXl5eRQUFNCkSROuXr2Kh4cH+fn5rFixQhycNUFhYSF169bl+PHj+Pn5ERcXR/v27Zk/fz49evSo8eX56tWrXLhwQRTgHDVqFNOnTxcX9Nqus9zGyZMnqVevHnp6ety8eZONGzeKg/rw4cNKufy/Wow2NDSU/v37Exoays2bN2nYsCFTpkx5ozInF7EMDAzk7NmzqKqqkpKSwty5c99pCJffl5+fj6amJq6urly7dk1QwAwaNAgtLa0Pckl41cloampKXFwc169fR0NDg759+9KpU6dKBXqViZKSEjZt2iQKAufm5lJUVMSBAwewsrLi5MmTglZuw4YNjBgxQlwmJUkiLCyMiooKunbtWmndJUlizZo1PHjwADMzM1q0aEFiYiITJkwgNzeXqKgoVq5cWeW5kdt+/Pgxtra2qKqq0rBhQ7744gtxECsb5eXlJCUl0apVK+rWrcuZM2dQUVFhxowZ7z1c5f7KFHfVibD6+eefuXfvHo0aNUJTUxMzMzO+++47paZ7VxXyOOfPn8+CBQtEVPqzZ8/49ddfSU1NpX379rRq1YrJkydjZGT0rxVjfh3BwcH8+uuvlJWVoaGhwZAhQxg7dmy16QFeRUVFhaCLunHjBs7OznTo0IGxY8diZGRULaqAN2Hz5s20bduWr776ij179lBSUiKoZ6uL4uJiVFRUSEtL4+zZs+K7W7p0qXDQKAOyQVRLS4v69esjSZKgT7W2tubTTz995/NFRUUUFRVRt25dUU8qNzeXlStXYmJiUq29VFxczI0bN7CzsyMjI4MBAwYwcuRItLW12bBhA6dOnXrrs6/K1+LiYlxcXHBycsLb25vi4mKaNGlCaWkp7u7uVe7Pv2lUkuHm5sauXbtEFpKenh6Ghob06tXrg8kUWQbY2dkRGBiIiYkJJ0+eRF9fH2dnZ8aPH88vv/xSrTbXrFlDv379GD16NNu3b6dx48YiIEY+9/8NFBcXY2trS3BwMNnZ2Rw7dozi4mLhGJMRGhrKvn37yMrKIjU1lV69emFtbc3HH39c5cuaPK+ZmZls2LCBkJAQBg0aRHh4OJaWlsybN++9e66oqIiEhASKi4sxMjKiXr16H2Sfrl69mhs3bmBsbIyGhgYff/yxWC9lwc7ODjs7O7p06cLjx4+xtLRk/vz5tGjRosZjOn36NJcuXaJPnz74+/vTtm1bvv3227caDioqKkhPT+f333/H29ub9PR0rKyssLKyomPHjko5D69evcrYsWPx8fEhODhYBBaVlpZSXl7OkiVLamS8eh3FxcXk5eVx5MgRoqOjCQsLY/To0UydOpUOHTpQUVFBbm4uWVlZ6OvrU1BQQFxcHCoqKpUyx5SF1NRUwsLCsLCwEHWO4KVD+OnTp7Rr1+6NmTD5+fmoq6uLu1BxcTEvXrygQYMGIttY2UhPT+f48eMiy6u8vJy5c+eio6PD8ePH2b9/f6XfV1RU4OHhwYsXL+jRo0cliuWq7F15Xzk6OtK3b18RdCY/n5mZ+cFoY9+0p/9pvS8vL4/U1FQ0NTX/luGSm5tL/fr1OX/+PCdOnBCR6yYmJnz11Ve1NiYnJSWRl5enVCYEFxcX1q1bh56eHklJSWhra2NiYkLv3r0xNTX9W6aft7c3f/zxBw0bNiQ6OprOnTsza9asd+rgBQUFeHp64u3tTWxsrKjP2qVLF54+fUrnzp1ZvHjxvxrQ9vz5c7S1tTl9+jSxsbHExcVhZWXFsGHDhH75T+lU48aNw9bWtpKDcOrUqaxcuRJTU9O/3U9l+8HTp0+5cOECOTk59OvXj+HDh9O6desP1vf09HTmzZvHqlWrcHZ25smTJ6SkpNCuXTtSU1PZuHEjgwcPFut68uRJ0ad/GxEREVy7dk0En1Unw0SeT9lB/fXXX4v/O3nyJBkZGcIpWLduXQICAjA0NEShUODo6EhKSgoaGhp89dVXH0wPer2v2dnZNGrUCD8/P65fvy5K2axZs0YwjRw7doyzZ88KW4tCoaBly5ZMmDCBzZs3c/LkSaX0KTQ0lOvXr+Pn50e/fv2YNGkSCQkJ3Llzp1r3TrnWeWFhocguS09PR6FQVIt6W657l5SUhKGhIZmZmaSlpXH06FGmTp0qKNtri9jYWHbt2kVISAjFxcUMHDiQCRMmvFcXl//v2rVreHl5ERERIWoYenh4oKKiUu1gC2WioKCA+/fvc/z4cZo1a4aenh7BwcGcPn2aKVOmcPHiReClXLt06VKV6YJfRUJCAocOHRIsZGZmZowdO5ZWrVpVm40hPDycw4cPU1paSmhoKBYWFsycObPadqQXL16gpqbG6dOnCQsLIzg4mMmTJws6W2XqJjExMRw7doy0tDSKiorQ0dGhXbt2WFpaiqAZGfJ7g4ODadu2rUgq8PPzo3nz5syfP7+SXlsrSP/HsX37dmnDhg1Samqq0tqsqKiQJEmSYmJipJ07d4q/p6amStHR0Up7j4z09HRp+/btUmlpqVRRUSFFRkZKxcXF732uvLxckiRJOnbsmPTw4UNJkiSpoKBAcnd3l0JCQmrdLy8vL2nGjBlSZmZmtZ6T58/NzU1aunSplJubW+u+vIp9+/ZJcXFxkiRJUkpKipSTkyMVFBRUux25n4mJidKlS5ckSZKktLQ0ydvbW/L395dKSkqU1+lXEBkZKa1YsUIaPny4dPbsWUmSJGn58uXSiRMnJEmSpLKyMqW9y8PDQxo7dqx0586dd/5OfueVK1ek/fv3S+Xl5VJeXp4UGRlZrXkYPny4tGvXLqmwsFCSJEnKz8+veeergeLiYmnAgAHS4sWLpaSkpH/knTLKy8slPz8/6fTp05KLi4tUVFQkZWVlSXv37q30u61bt0orV66UgoKCpJycnCq1HRgYKJ08eVJavny55O7uLikUCunQoUNSQEBAlfsmSZK0ZcsWaePGjVJeXp4kSS/3/Ifa35IkSf7+/tKKFSuk/fv3C1lWWFgoFRUVVel5+dv89ttvJVdXV0mSJNGOLE/k38hj9PLykpydnSVJkqSkpCTJzc3tvfv+n0Bpaam0detWyc/PTyosLJTWrl0rpaenS5IkSX5+fpKHh8e/3MOXkOfRw8ND+uGHH6Qff/xRmjdvnjR37lzJ3t6+0m/kua8unjx5IvXs2VOskyQpV95NmDBB8vLykiRJkr7++msxtyUlJVXuszxGFxcXad++fZIkvdx7KSkpSuvn68jLy/t/uHvvuCzr9v//eQGyQfZWtoAMBReIC9dtpjkaalpm1p19u6tbs/LO6qNmmZmalQNnpOJEzUBwLxBlylCZsvceMi7G+fvDx3neUA7GZX0+v9c/ynVd5/s83ut4H+9jChEREcL169cFQRAEuVwuHD9+XJDL5Y99RuxPZGSk8PHHH3d5bz2Njo5nqfiOysrKLvHV8+fPP5K3FRUVCb/88ou0jnqCnq65nkLklc3NzRI/2bdvn/DVV18JCxYsEG7cuNElurrK6ztC3BMfffSRcOPGDcHf31+SUTZt2iQcO3as0++6Aj8/P2nfvf7660JmZman7//q8RX3WWhoqLBs2TLB399feOeddwRBEIRbt24J/v7+0m/F/7e3twuJiYlCRkaGUFlZ2a33iWMVFhYmVFRUCA8ePBCCg4MFf39/4d69e12iNSkpSVi5cqUwefJk4auvvhIEQRByc3OF6urqbtHyJPoCAwOFixcvCoLwUB4NCQkREhISet2+IPy3H3l5eUJycrIgCA958qFDh4TY2FhJbusOxHUTGxsrLF26VJDL5cJvv/0mbN++XQgODpbOukdBLpcLK1asEKqqqgRBEITGxkahrq5OobLJ/fv3hYULF0q0xsTECOXl5UJycrJw/vx5YceOHQqRU5uamoTvvvtOGuP8/HzhwYMHUl/E+d23b5+wZ88eQRAe3gV+/vln6cxSNLZs2SI4OTkJgwcPFqZMmSJ8+eWXT5Q3Nm3aJHz33XfCpk2bhJkzZwqzZ88Wpk2bJkyaNEnw8/NTyL3yaUhLSxPu378vFBcXC+3t7UJkZKR0Lopobm4W/vWvfwnvvPOOsHTpUmH27NnCV1999cTz8lEoLCwUnnvuOUEQHu6NlpYWoba2Vrpf/v8NHWXlF198UZgxY4bw0UcfCWvWrBF27twpXLp0SRCEhzzh559/lp6LjIzskZza8Uxpa2v703mlyDPnf/7nf4Tff/9dEARBKC8vF0JCQoQVK1YIL7zwgjBs2DDhhx9+EATh4Z00NDRUEISHe/TkyZNCQkJCj3hAbm6ucPLkSeF//ud/hFmzZglJSUmCIPx3nP8qiOOYm5srfPLJJ0Jubq4gCMKfeG97e/tfcs63trYKbW1twtatW4XFixcLUVFRQl1dnVBcXCxMnjz5sfS/9tprwrJlyzrNhbhmniXdx48fFz7++ONOnxUXFwv79+8Xhg4dKrz00kudvps0aZIkH/4dEMckMTFReOGFF4SvvvpKWLhwoeDr6yuMGzdO+Oijj7rVXnR0tDB//nwhKChISEtLE6KiooQ33nhD0iuK63nz5s3Ct99+K53XfyVEGg4dOiQcOXJEEISH8sPjdKVpaWnCr7/+Kqxdu1Y4dOiQ0NTUJBw/flw4ceJEr2kpLS0V7t+/LxQVFQktLS2dvquoqOiyPCj2KSwsTFixYoUQGhoqvPnmm4IgPNShfPnll92mrbm5Wbhx44awbds24ffffxdqamqEqqoqYd26dd1u61FYu3attPZLS0uFrKysLt9xxHW7bNkyISEhQfjll1+EXbt2CYLwUEe1YcMGQRD+ev7ZUfb+7LPPhJ9++kmYOnWqMGvWLGHAgAGCp6ensHjxYkEulwtHjx4VFi9e3G06S0pKhLlz5wppaWmCIDxcJ3+8g3UVTU1NQmBgoCAID/Vh4eHhQnZ2do/OsKqqKmH16tXSvV/U9yua39bX1//JlpCVlSWcPHlSWLJkiRAcHCwIwqPHdPv27cK6deueqc5SedWqVasUY1b7e9C3b1+uXbvG6dOnMTQ07HUBa/hveGZlZSUhISFcu3YNS0tLbGxs0NfXl2pIKAoVFRUcPnyY3bt3Y25uzpAhQ7rkIS/SmZqaysWLF1FVVWXAgAH069evV56dIrS0tCgtLeWnn36irq4OGxsbNDQ0ntp/8Z1KSkrExsby/fff09zcjJOTU48s6R3R0tJCeHg433//PU1NTQwZMgRdXd0eeTWLdGZlZbF161ZSU1Px8PDAyckJU1NTlJSUnomXixjpV1hYSFlZGWvWrMHb25tXXnkFDQ0NZDKZwt5rZWWFubk5W7Zs4cKFC5iZmXXyoBQhzmdZWRnHjh0jOjoaHx8fLC0tuxxqK5PJ8PT0JDY2lsTERAYOHCgVN3yWEAQBFRUVXn31Ve7fv8/p06dRV1fHxsbmmcxfe3s7MpmMe/fuceXKFaKiotDQ0GD48OHY29ujqamJhoaGVOsDHu7xEydOUFxcTH5+PpmZmeTn51NXVyfNhziGcrmc+Ph4CgoKMDMzw9fXl0mTJtGvXz+UlZWxsbF5akFVEWL/+/btS3R0tJTr2NjYWOGei0KHCL0dO3ZgZmbGuXPnWLhwIXFxccTFxXXJq7i9vZ3du3dLe3LOnDkYGRlJPPGtt97Czc1N8toV+3jv3j3Jc8fLywtra2vs7Oyk+fq7cPfuXT777DMuXLhAeXk5mZmZZGZmYmdnh5OTk8IiT3sL8f1yuZz9+/dTXl7O+++/j56eHvv378fR0RErKyuSkpI4dOhQj9LlWFpa4uzsLKUjsbe3R1tbWyFnal1dHfv27SMyMpKbN2+SkJDAzJkz0dXVRV1dvdtpOcvKyti/fz8hISE4OzsrJHIAkPp6584dzpw5w/nz58nNzcXc3BxLS0u0tbVRUVFh4MCBT9yjIp2CIBAVFcXmzZtpa2vDwcGh216aLS0trFixgr1795KYmMjt27cpLCykvLwcKysrKb/507Bo0SIWLFiAqqoqv/76K/b29vTp0wcdHR0GDx7cq+gHkTeKY/Is93VFRQWnTp1i0KBBXLhwAX19fVxcXKS6XYMGDWLgwIGoqKg8kYaSkhLWrVvX7bocogwQFhbGnDlzOHbsGA4ODjg5OREQEICfnx+WlpZdlhUqKyu5efMm1dXVXLhwgZiYGCkFt7a2NsrKyn85/xHX5759+3jllVeQy+Woq6szYsQIQkJCyMvLY/z48ZSVlREYGMiJEycwNzfH09MTAwODbnsEivzlu+++4/Lly7i5ueHt7c2QIUOeGgEieihu3ryZMWPGoKuri6amJiNGjODw4cPcvXv3qfXjukpfcnIy586dQ1dXFxcXFxwdHXtUe+JREOf4/PnzfPzxxzQ2NjJz5kzc3d0xNzfvkRwt8rOLFy+ipqbGyJEjcXJyYujQoQwYMOCJkcQNDQ3Ex8fzyy+/IAiCdB6A4mpGhISE0NbWhp+fH2fOnOHs2bNMnz4dExMT7Ozs8PDwUIh3aXV1NadPn2b79u1oa2szePBg1NXVO90jZDIZGzduZP78+SgpKfHdd99RVlZGeno6Xl5evYq6fhSam5upq6tjyJAhTJo0icLCQrZt28bWrVs5fvw4Li4ukqd4cnIyn376KXl5eQwfPpy33noLZ2dnQkNDuXz5MvPmzZNSlCqaxjNnzrBu3ToiIyPp27cv9vb2GBsbI5PJsLKyklLCijw/PDycmJgYNm/ezKRJkxgyZAiXL1+mpqZGSu3zJIjtnD17FkEQmDBhAs3NzaiqqnLv3j02btwo1bhWNEJDQ9HT0/tbMhWIfGzr1q2MHDmSTz/9FF1dXRobG7lz5w56enq4u7tTVlZGaGgo1dXVeHh4YGVlhZWVVbfP3I4yyqPS8SnyzDl27BgzZsxAX18fTU1NHB0dmThxIvPmzWPixIk4ODhgYGBAamoqn376KfHx8YwePZphw4ZhamraZd2EWMdHJpPRt29fnJ2dGTduHHPmzJGiz/7qs7RjRP7NmzfZu3cvmpqamJiYUFRUhK6urnTGd5yTZ0WryPOsrKxITU3l5s2b7NixQ0rdLWZC6cgX4WF6YDHNn5GREWZmZtKaeZZjmpeXh42NDY6OjrS2tqKkpIS2tja2trZkZWUxZMgQbG1t0dTUlO7Rc+fO/dvubeKYnDt3Dm1tbT7//HNmzpzJrFmzcHZ2RktLq0t8UISFhQV9+vSRMjncvHmTYcOGMXPmzE5rRk1NjbCwMH7//XdMTEwkvvxXQKShsLCQn376ifDwcBwcHP4UnZeenk5MTAwODg54e3szZswY3NzcUFFRke6fPclAIs51YWEhn332GTt27CA+Pp7o6GiysrJoaGjA2toaDQ2NP2U1eFqbhw4dYsqUKdTW1tKnTx98fHwIDQ2lrKyMCRMmPJHvit9lZWURGRlJXFwchoaGjBkzBhcXFzQ1NVFXV+91iQN4GDEeGRlJUFAQWlpaDBgwAENDQ/r06dOtchYHDhxg4cKFbN++nddeew0DAwP279/P9OnT6dev39+yr2QyGbt27eL1118nIyODiRMn8uWXX1JYWIiOjg5yuZwff/wRZWVl3nrrLczMzFWIMKcAACAASURBVLoVMaWsrExhYSGRkZHo6Ojg4ODQY3tCYWEhGzZs4PTp07i6ujJs2DD09PR6pF+vra3l/Pnz/PDDD/Tp04fBgwcr/D744MED1q9fT01NDQMHDpTuC5qamnh5eTFr1iyphtij3qulpcXZs2f5+eef0dbWxtnZWeHr4/+8MczExISpU6eipqZGQEAAWVlZODg4KETQ1NfXx9XVleTkZMLDwzE3N8fc3FzhqQz69u3LrFmzMDMz4/jx4xQWFjJgwIAu52a3sbGhoqKCbdu2kZOTw4ABA9DR0en1YlFXV2fYsGHo6+sTHx9PfX09bm5uXU4/qaury8SJE3F2diYuLo6SkhLs7Ox6lXNeWVkZX19fXF1diYyMlGo+9Ca9lpmZGR4eHsTExBAfH4+joyO6urrPlBnb29tjbW3NgAEDeOONN5gwYYKkBFD0e8U0ZGIItq6urpSf/o+wtrZm+vTppKam8t133yEIAo6Ojk9Vkog0m5iYYGlpSUREBD/99BMGBgYSk3tWEN+toqLCgAEDkMvlHD9+nPr6+qcqlHvzvjfffJOqqirgoSHm5s2bXLt2jcGDB0tKjcrKSqlI9OTJkxk6dCiCIEi128T80IIgSAfrL7/8woEDBzh8+DChoaFcuXKFe/fuYWpqiqGhYY8UJqampjg7OxMVFcWaNWtQVlbG1dVVoWMj0h8UFISjoyODBw+mtraWCRMmcOvWLcLCwpg2bdpTL9SCIGBtbc39+/fJycnh1KlTHDhwgPj4eMrKyjrVbPpjH9vb29m/fz/p6em4u7tLxuW/E8bGxjz//PPY2Nhw7949srKyuHHjBidOnKCiokKi838L9PX1CQkJYeDAgezevRsrKytcXFw4d+4czz//PEePHkVFRYXhw4d3Szki/s7CwgJDQ0Nu3LhBVFQUTk5O6Onp9ZpuNTU13njjDTw8PGhubqa9vZ2DBw9y5swZEhISaG9v75ZBy9LSkjlz5tDQ0EBAQACNjY3Y29v32qEDHo7FJ598QmVlJfr6+lRWVpKQkMDFixexsLDA3Ny8yxeCvn37MmnSJPr3709cXBw1NTU4ODh06UwU5+/atWtERETw5ZdfoqmpSWVlJXfu3KGgoICJEyd2qU/x8fFkZGTw8ssvk5uby5YtW3jttdeQyWS0trayZcsWvL29u7xeRNoyMzPZtm0b3377LdbW1pLD07Pc1xUVFWhra9Pe3s6OHTu4e/cuUVFRZGVl0dzcjLW19RONgyLtN2/epLi4mHHjxgEPeVtXlFDidy4uLujo6KCsrExwcDBFRUVcu3aNZcuWPdUQ1xGqqqq4ubnRt29flJSUMDIyIicnh9jYWCIjI6msrHwmadqeBJH2iIgILCwsOHz4MK+++qqUFu25557Dzs4ODQ0Nxo4dS3l5OdevX0dbW7tXSpjp06dTWFjI1q1byc3NxcHB4an1P0SZPyAggHfeeYeTJ08yefJk+vXrR0BAAEOGDOlV6u+OcHNzo76+nu+//57o6Gj69eunMGOYiIEDBzJ69Ghu3bpFZGQk9vb2PXZcEscmJiaG6OhoDAwM0NLS6pKcoqamJvGEa9eu0draKl2WFYXdu3czceJE7O3tOXDgAC4uLnh4eEhKT0XJQJqamkydOpW+ffty9epVmpqacHFx6aTwbW5uZs+ePbz44osEBgZiYWHBypUr8ff3Z9y4cQo5BzvC2tqa0aNHc//+fbKysnj99ddZsWIFzz//PDKZDDc3NwwNDWlra8PMzAxHR0f69u2LnZ0dPj4+lJWVkZ2dzYwZMxQuR4s88rfffmP//v3Mnz+f5uZmgoOD2bx5M1FRUcyYMaOTjCGeiefPn8fOzo7hw4ejoqKCkZER5eXl3Lt3jwkTJnTZYfP27dtSHVPxvDx9+jRaWlr4+voqtL/19fWoqqqyevVqqXyBSGdaWhr6+vrPXFYVx0RMtWtpaYmtrS1Dhw5lypQp2NnZoaqqiqmpKcbGxgQEBHDo0CF0dXVxdHTsFn0pKSk0NTVJd+mOzz4LRxZ7e/tOPLi9vV26k+jr60tOqGKttry8PH777Te0tLSwtrbu1rvE/ojn+f8GZzZ46NgyceJEnJycOHjwIMHBwcTGxpKamkpGRga1tbWoqKg8ck4UhU2bNlFXV4eFhQX6+vr4+fnh5ubG888/z6RJk6SalI96t4aGBv379ycnJ4cjR44AD8+qZw2xlg90dsJQU1NDTU2Ny5cvc+/ePTZv3izJuI6Ojn9bSvtvv/2W+vp6amtrcXFxke41Ghoa2NjYdMsQBg/T9A0YMICpU6fi6urKrFmzGDVq1J/myNzcnBdeeAElJSUCAwMpKCjAwcHhL72/2tvb89prr1FQUEB4eDi6urqS0fTy5cts3bqVc+fO8cMPP3DkyBFiYmLQ1tbGxsYGdXX1HusKxT1++PBhZDIZBw8exM7ODrlcTkxMDCUlJfj5+fXoTpyWlkZzczNBQUG89tprmJmZsWvXLv7xj39IdQwf16b4+VtvvUVWVhYtLS0kJydz48YNrl69ipubm8Lq26mqquLh4UF5eTmhoaGoqKjg5OTUbT6irq7O7t27SU1NZenSpdy6dYuzZ8/y73//+29xzBPfd/LkSRYsWMC+ffskh6nAwECWLVsmpbseN26cdAftzt5XUVHBzc2NvLw8tmzZwt27d/H09OzR3PTt21fSTZw7d05y/u8JtLS0mDJlCvb29ly7do3i4mKcnJwUmjb/woULJCcn8+GHH9KnTx/u3r3L8uXLyc3NlQzXT6qRbmxszLRp0+jfvz/Xrl2TbAmK0MWI+D9pDOsoeJSWlpKTk4OLi4ukcLGwsGDQoEEKEVD09PTw8/OjoqKCjRs3kp+fLwngikRLSwuOjo7Y2dmxa9cubt68ydixY7s02aqqqgwePJiZM2cSHx/PpUuXMDQ0/FMe8O6iqakJVVVVHBwcqKurY8+ePZw8eZJZs2Z1qf9iIUlbW1tKS0tZv3498fHxzJo1q0f0iPMpRhg4OjqyZ88e9u7dy+DBg3ulMDAyMmLixInEx8ezdu1a4KFSQlEXwI7eGz/88APbt2+npaUFa2trhRslRDQ1NZGWlsaDBw9obGzk3r17HDlyhMDAQN59993HPqesrIyPjw8uLi5SrZyueD2L86OlpcXIkSMxNTVl48aN2NnZdfuy0V3k5eWhpqZGUVERysrKKCsrs3HjRjw9PRX6brGPCQkJpKens23bNjw8PLCzs0NXVxcNDY1Ol+j169cTHR1NeXk5giBgYWGBl5cXo0aNYtSoUTg5OUn51EVvutWrV/Pdd99JBZDV1NQIDw/H2toae3v7HkfR9O3bFz8/P0aMGMHRo0epqqqSihIrAiJNR48eZfbs2Zw8eZJx48Zha2vL8ePHGThwYJdq+gmCgLa2NoWFhQwZMoRNmzZhb29PZWUliYmJvPLKK1JO5I78XVVVFVdXV2bMmEFERARHjx5FV1e3y1F0zxIGBgY4Ozvz/PPPM3fuXMaMGcPYsWOpqakhOjqaQYMGKfRg7w1aWlr4/fffWbp0KXPnziUiIkIy4Oro6HDx4kVefPFFyUu8O8aNhoYGNDQ00NfXx8zMjJSUFL7//nvmzJnT6/6Le9PExIQhQ4Ywbdo05s2bh62tLenp6VIR8e7sn8bGRry8vDA0NGTLli1UV1czcuTIXtEpk8lobGzk5MmT7N69m5EjR+Ls7IyVlRXa2tqMGDECNTW1bkV1tbe3Y2dnR1lZGevWrSMmJoaZM2c+9VlxzC5evIirqyt+fn44Ozvj6+uLr68vTk5O6Ovrd+mCd+LECfr378+QIUMIDg5GJpNJ9c6ioqIICgqSCql3BSJt77//PnPmzOHatWuMHj0aa2tr1q1bh4GBwZ/qgCgKffv2xcLCAh0dHQYOHIiBgQFNTU0UFRURERGBiooKLi4uj5UxOyptb926hampKWZmZpIH5ZPGMjExkdTUVNra2jAxMUFTUxNra2tyc3MpKytj6dKl3a6foaSkhKGhIfb29nh5eeHp6YmlpSW6urrU1NRI8tTfEUVrZWXF0aNHSUtLY8yYMezfv5/8/HzeffddabzU1NQYNmwYbW1trF27ljt37jB06NAeK2GGDBmCu7s7GRkZ5OTkSLW/noSmpibu37+Pjo4Oly5dYunSpTQ0NLB3714++OCDLnsDPw2ikWLu3LnU1NQQFxeHrq6uwg1iRkZGODg4EB0dzaFDhzA2Nu72hbqpqYmUlBQMDAw4fvw4VVVVZGdnk5WVRU5ODqWlpVJE++MgOuaIPDY4OBhvb2+FZRVYs2YNVVVVNDY2cvbsWV5//XWMjY2fmRJTdEb89ttvuXLlCr6+vpJzplwup7q6mvPnz5OSksLatWupra3l9OnTneq1KBJina/29nZCQkJobm5myJAhDB8+HENDQ+C/spu9vT319fVs2bKF2NhYQkJCePnll6X7taLHTCaTcenSJcaNG8f06dPx8fHh5ZdfZtasWVLEZkd5UeRNFy9eJCgoiPb2dtTU1FBVVSUkJAQ/Pz/s7Oy6rOg3Nzdn06ZNJCcnU19fz+3bt7l69SqzZ89+ZAaNnkKsu71lyxZKSkoYNGgQKioq0rpYuXLlM4tE+yNqa2s5e/Ys586dQ0dHR6oHpK6uLvFAMarn5ZdflurzlJWVdcthYvv27dy4cYPExETy8/OlOpDPykHtj9G9T4pE69OnD25ubjQ3N/Prr79SW1vb5Xt4x7Ulrs3/DTV+RdTX19OvXz98fX0JCQmhtLQUFxcXqRZ9TEwMCQkJpKSkYGtrq7BzCx7KomLk0LZt2wgODiY/Px8rK6vHOr2JckxjYyN9+vShb9++DBgwAF1dXXbv3k1NTQ3Dhg1TGI3dhY2NDQ4ODigrK+Pn58dzzz0n1Qz+O+a9tbWVq1evEhoayvXr1yUnKXV1dSlbQFcgynqnTp3i1KlTnDx5ktu3b0vPi5G5HdurqqqiqKgId3d3Ghoa2LRpEyYmJgwePPiZG4TF9sU9N2zYMBISEli9ejW6uroMGjSIn3/+meHDh7Nx40bee+89nJ2dSUlJ4cGDB/j4+PT6DJPJZERHR+Pq6oqjoyNmZmZ4enoybdo0fH19Jf7RnXEQBAEnJydOnTpFUlIS/fr1Y+fOnaioqLBo0SJUVVUf2544JikpKcTFxbFnzx7c3d3p378/2traKCkpSY54ioKGhoYUTbt161auXLmCp6dnt+Q1Q0ND0tLSqKio4KeffiI3N5dFixb9bXcQeLgfjI2NMTExoba2loMHD3L58mXCw8Pp06cPpqamDBgwoFeGXzU1NYYMGcKUKVMoLCzk5MmTf6rn2lXIZDIGDx5MS0sLGzZsIDs7myFDhvRIjyKXy7G1tcXAwIDNmzdz7tw5/Pz8FJapICAggOHDh0tGejE6/tNPP+XGjRs0NTXh7u7+2OdLSkpoamqiX79+JCcns2XLFgB8fHwUxncUa9H5iyB2fMaMGdjb21NWVkZBQQFjxoxhxowZ0qD2ZJBERltZWUlmZiYRERGoqqpiYGCAtrY2QUFB/Oc//+l1H8T3ZGdnc+7cOVRVVYmLi0NdXR07OzsuX778RIux2LesrCwSExN58OABBgYGFBcXExoairm5OV5eXt32XBF/f/v2bc6fP09sbKyUckBdXV26eDyuXbFA4qlTp0hOTubevXvU1NQwatQofH19JWtzTwrMihen6upqoqKiMDExYfTo0WzZsoXKyspO9He1n3V1ddTW1nLjxg3a29vx9PQkPj4ef39/3nzzzW7R9zTaAZYtW8b06dMZMmQISUlJfPjhh7z//vu8+uqrCnuXuDYuXbrEyZMnycnJwdTUFE9PT0aMGCEVLRbnQPw3KCiIlJQU9PX1uXXrFjKZjIqKCtLT0zv9/lFobW3lgw8+ID8/HxcXF0kRIhah7EiXolFdXc2KFSvIzs5mxIgRtLW1UVlZyYIFCxQuRIt9yMvLky5fenp66OnpPdKDbdSoUcTHxxMWFsbJkyfR19fHzs4OFxcXbGxspLkQ12xzczMjR46UDiELCwtefvnlTkrkru4bcY3/+uuvRERESArVzMxMHjx4IBnCxMuwovD666+zZs0akpKSmD59Ovfv3yc+Pl5a40/bn+IauXTpEsuXLweQjIcdoaSkJPXxwYMH5ObmcvfuXSwtLbG3t+fIkSO0trbi5+f3t3luNjY2cuLECfz9/XF1dWX06NG0tLSgrq5OQkICERERlJSUsHjx4r+cto4QxzExMVGK7Nu5cydZWVmUlJSgr6/PihUr+O6772hqamLw4MFA14R+ceyTk5PZsGEDJSUluLq60tjYSFpaGqNGjepUYLun6Og9LgrUqqqq+Pj4SN6o8OT9I/K4Y8eOkZOTQ1tbG7GxsVhZWWFqakpOTk6n33UX4jjn5OSgo6NDamoqTk5OmJiYSEa8rkB8/4ULF0hISCApKYna2lq8vb2lIsZdoVOMUmpqaiI8PBwjIyOJHh0dHXR0dCRD/dMQFBTEP/7xDwCSkpKYMWOG9N2NGzckw1hXIe5ruVzOyJEj0dbWlnjWjRs3WLBgQbfa6w7EeTp58iTOzs6MGDGCiRMn8uDBA9LT059aOF0cLy0tLdTV1dm5cyfHjx/H3NwcGxsbZs2a9dgL0MqVK5HJZIwdOxYtLS1MTExwcHBgyZIlnbz1urtXxH2hrKwsnVmDBg1i+vTpyOXyTnQ/S/xRqWFvb4+fnx81NTX89NNPeHp68tVXX6GpqUlLSwuFhYUkJSWRn59P//79mTRpEr/++isfffRRt9957949WltbUVNTIzMzk5KSEvbu3YuSkhJvvfXWY3lQe3s76urqTJs2jQ8++IDi4mJ++OEHcnJy8PLyeqJXY3foS09P586dO2hoaNDS0sKVK1eIiIiQ0r/1xhNdfFYszF5TU0NGRgajR48mIyODb7/9lrFjx3arzUuXLlFUVISrqyvz5s3DwMCAuLg4MjIyiI6ORlNTkwkTJjzy2cbGRm7evMnt27cpKCjAxcWFgQMHSmmuFYWAgACuXLlCWFgYjY2NrFy5EhcXF4YNG8agQYN65SwjzltdXR23bt0iPz+fu3fvYmNjg5+fHwcOHOiUCUNTU5M5c+YQFRXFsGHDUFFRISws7ImKgJ4iPz+fyspKNDU1SUpKorCwkJKSEjZu3IiRkRFDhw790zMymYwpU6YwZcoU9uzZI6VWFVORKxIdHVr/6LhpamoqGX//eH61tLRgbGyMr68vSUlJxMfHExMTw+DBg5HL5eTl5T3RkNVxDxkZGbF7926OHTtGQkICGRkZvPfee91OAf00qKio4O3tzcWLF1FSUmL//v3U19djbGxMXV3dI2l7VqipqcHU1BR1dXVCQkLQ1tZGT08PDw8PJk2aRHFxMREREbS0tKCtrS2VobCysmL27NldktPa2toYN24chYWFFBQUEB8fT1RUFJqamhgbG2NlZcX06dOfiRPoo9Bxn2ZmZqKiokJiYiJKSkpYWVnx3XffdUmeKCkpITY2FicnJ+zt7f8y+p8Ecc3ExMQQGBiImZkZt2/fpq2tjX79+tHc3My///1vKioqKCgokBxA0tLSFB7R06dPH8mZODc3l4SEBGJjY3nvvfekNfH11193ekZcS3v27OHMmTOYm5tjYGBAUlISzc3Nf9JXPGuIa6WlpYXIyEgOHTrEkCFD8PLywsvL65m//2lQUVHhiy++AKC4uJiYmBiuXr3KmjVrKCsrY9CgQezZs+ep7YgZnn788UdeffVV3N3dKSoqkhzXvvnmGymFLsCCBQswNzeXSj2MGTNGSj8KSLLls4A494GBgTQ3N0uZqjw8PLCwsKC0tBQADw+PTufaH+9+vTnDxHWanp5OeHg46urqODg4oKuri5aWVidHgq5A3LenT5+mqqqK9957D0tLS+Li4hg7diwTJ058aoYzca3m5uZKZ56RkRFGRkbSHV1RaG9v5+7du8TGxlJRUUH//v1xcHDg9OnTfPLJJ91qy8DAgLfffpsXX3xRysAhygB/tYE5JSUFuVyOlZUVPj4+tLW1MWvWLE6cOMH9+/eZM2cOJSUlfPjhh1RVVbFgwQI+//zzbr2jqqqKXbt2UVdXJ6XqjY6ORiaTdan8APx3ruvr67l//z4VFRXcvXsXY2NjxowZw8GDB1m2bFm32iooKODChQuSo7mdnR0jR47k5MmTGBgYdKuPT0JiYiJLliyR/nZ0dGTcuHEYGRmhqqoqrfOO8o9Io2hviYuLQ0tLq1MggfiMIviOTBC1If8HERkZib6+vpSntaSkRGHek9u3b+fy5cuMHDmSgoICLCws8Pb2RkNDg8GDByvsYA4PD2fPnj14enoyYMAAqqqqsLCwwNnZWUr79STm8Oabb2JhYUFBQQFGRkb4+vrS1taGt7c3lpaWPRaug4KCKCoqwtvbm7KyMoyNjXFzc0MQBDQ0NJ7a7qlTp6iurmb06NE0NjbS1NTEoEGDJGVOTxSfZWVlvP7664wdOxYzMzMqKyuxtrbG09MTW1vbHilSN23aRHBwMOPHj6e4uBglJSXGjx+PgYEBY8aMUagAVlNTw7/+9S/2798vfZaXl8cnn3zCrl27FBbKLOLu3btoaGhga2tLVVXVU3MZHzhwgIyMDCwsLPD09OTBgwfo6OhI0UtPmnOxJomxsTFtbW0MGDAAbW1t6uvrFcpUH4X6+nqKioqwtramqqpK4gGKNvJ0xI4dOzh69Cju7u4MHTpUSt/1pPRNeXl5xMbGcvv2bTIyMtDW1mbHjh2dfnP16lVWrlyJl5cX7777LhYWFmhpafWqHwcOHKC1tVXywBajHMS0AYowFP2xjfPnzxMWFkZBQQFVVVUsX76cSZMmdbm9lpYWVq5cyVtvvfXENJsdo0fESNaysjKGDx+OpaUllpaWjBkz5pmuhUehozL99u3bDB06lICAACn9Y3t7O2+++aak2Bk7duz/ilQrYs54JSUl3NzcsLCwkNIDWllZ8emnn1JRUcHu3bu7zRtjYmJobm7GxMSEuro6nJyc0NLSoqGhAU1NTYX2v2NbYo2H7tB68OBB0tPTcXNzw9bWloqKCmxsbOjXr1+Xzr+nISwsDH9/f6lGkqWlJVZWVri7u3frHDhy5AilpaWMGzeO+vp62tra8PT0RFNTU4qiftqYNjU1sW7dOkpKStDQ0JCiysUU1F0dt4CAAAIDA8nNzUUQBKZPn87s2bPx8fFhyZIlvP/++7i6una5b/DwDDt+/Djz589nw4YN7Nixg5ycHJYvX86xY8e61VZ3UV1dzccff0xRURFubm6YmJjg5ubGgAED6N+/f5fmv7m5GTU1NVJSUkhNTSU7O5uCggLWrVv3yHEVBIG9e/dy+PBhTE1NsbGxoaGhgdbWVinV06JFixQSNfMsa4Y8DcnJyURERFBcXMwLL7zQKUI5NzcXIyMjNDU1iYyM5P3332fGjBk0NzdTU1ODr68v5ubm3TbctLe385///IfExET09fUZNGgQDQ0NqKmp8fbbbz+2zq641y9fvoyfnx+VlZWcPXuWmJgYJk+ezIQJExR2tnzxxRfU1dVRXFyMs7Mzbm5u1NTUMH78eGxtbRWiLN++fTu//PILnp6eGBsbS2nZfXx8ui3zfv7552hpadHe3o6VlRULFy6UvmtoaKC8vJz+/fs/clxv3rzJunXrmDlzJrW1tSgrK0vRSvb29s/kPGxrayMqKorw8HCuXLmCtbU127Zt6/W7bty4wZo1a5g2bZqUZtbT0xMHBwesra2lefP392f+/PmdeHxGRgZqamr069dPEV2U8PLLL3P37l2p9otcLqelpQV3d3dsbW0fq4QR57+hoYErV66wZ88efH19u6xo6Q6qqqqYO3cu+fn5ODo6MnbsWMaPHy/VM3wU5HI5MpmMPn36UFJSIvHWiooKKioq0NPTe6Ky6tSpUwiCwKRJk6R5qK2tRS6XP7V2YG+RmZkp0Z6UlER2djZyuZxRo0YxdOjQZ24M67jO5XI52dnZUrTQ8OHDeeGFF9i5cycpKSnU19ejo6MjOXBZW1szfPjwbst9LS0tUmaSlJQUcnNz0dDQkBzdngXa29uBPytWr1y5wqpVq+jXrx8eHh6UlpZiamqKl5cX48ePf+z4l5WVceDAAa5fv46enh4pKSloaGiwYMECFi1a9Mz60R0kJCQQFhaGo6MjAwcOpL6+XooqFwSBoqIitLS0pHroVVVVz+xuXl9fj7q6OvHx8VJq+EOHDjFjxgzWr1//p/uYXC7n2LFjuLu7U1NTI9Wuq6mpQUdH5y9VkIvre+/evSQlJWFtbU1JSQnh4eGMHTtWMvb9XRDXaGZmpuS0Bg/1HZmZmRQXFz9VNhL5wJ07dzh48CDffPMN8LDucllZGRUVFZ0ciQVB4OLFi5Izr4aGBmVlZQo/s56GlStXoqenh6enp5QRw9vbGx0dHUpKSpg0aRKurq4sX768WynZn4aOxnR/f38KCgooKytDT09Pyu40derUHrW5du1avL29O6Wj75gFqyt92LNnDwcOHGDQoEH4+PhgY2ODtbU1ZmZmCpOjbt++zUcffcTzzz9PSUkJmpqa+Pj4oK2t3a1sKSdOnODw4cM4OTlhaGjIzJkzu52RQJFYsWIFWVlZuLm5YWBgIN3xfvrpJ1599dVOde6Lioqor6/H0dGxW+dgVFQUly5dQk1NDQ0NDYYOHSpFYzs7O3drjq5evcp//vMfRo8ejampKQUFBbi7u+Ps7Iy3t3e32oqIiGDnzp384x//kMo1ODs7S6WCFLF2mpqa+Oabbxg+fDjTpk2TPhfPgJkzZ+Lv7/9I240gCJw4cQIbGxucnJyorq6mra3tmWQa+z9nDOs4OVlZWdy5c4eRI0cq9FB/GiNSFHMR2+mNoraqqgp9fX3pb0UK02Jag54iOztb3OaVzgAAIABJREFUYUzuWVwSOobnd/SQUvQlXGSa0dHRBAUF8d5770lCRHp6OsuXL+e3335TuMK+pqaGiIgITExMHukF+ii0tLQgk8l6REdFRQU1NTVYWVn9JSnfOs7fvXv3KCoqwtfXV1IUKnq9iOnVZDIZ8fHxlJeXS5dwMSXol19+2clL/HGXMnhoHOvXr18nZX1xcTGnTp3i9u3bpKeno6enh6WlJYsXL36iguBpdLe2tkqRMoqGOA85OTkUFRXRp08fNDQ06NOnj1RctbveLwkJCaxcuRJ9fX3eeustLC0tMTAwQEdH55G5jOvr6xEEQXqPXC7/W9MOint+xYoVzJgxg5SUFGpra3n33XcJCAiguLiYL7744i/zduwpOkYg29raUl9fT3V1tVRMvbt7LC8vj7a2NmxsbP5XGP+ehNraWjQ1NRXKkysrK6UI7tLSUlJTU8nLy6O2tpbi4uIeGYx66gSUkpJCnz59pHoDtbW1JCUlkZKSQlpaGjo6Ol32gMvKygLA1tYWuVzOrVu3OHHiBLdu3ZKitlNSUrpNoyAIbNy4kSNHjuDl5cWSJUs4c+YMbW1tfPnll91urysQ9+Tvv//O9evXcXFxQUNDg/DwcNLT0xk+fLjkufk4mmUyGW1tbdy4cYPk5GTmzJmDgYEBzc3N1NfXS+nJHgW5XE54eDjXrl1j6NChjBs3jtzcXG7dukVBQUG3vRLFfZqeno6hoeEzd055GuRyOXPnzsXS0hIzMzPu37/P22+/TXp6OiEhITQ2NrJp0yZsbGxQVlb+k1zUXUVBx/dmZmbi4uKCXC5HLpd3y/D8//7f/2P27Nmd5r20tFShqToLCgokb+xndTbU1taira1Nc3NzryMDYmJiCAoK4uLFi3h5eUm10zw8PKR19qh56krEqiIVWY+rDyYaqxURcfc0lJeX889//pNDhw5RW1vL4sWLUVFRkda6ItHc3Mwnn3xCe3s7xcXFGBgYMHXqVAYPHtxtRUJcXByJiYm88cYbCruH/XH+c3JyuHXrFjdv3iQiIgJ3d3d2797d6ZnGxkb27NlDQUEBWVlZGBgYMHHiRGbOnClFPN6/fx+ZTCalMXsU5s6dy9KlSxkxYgSCILBmzRqio6OxtLRk+fLlCqv99ygIgkBcXByGhoZYW1v/LfKPGK0lk8kwNTWV7qLi3FZXV/e6dp04v/X19Vy9epWsrCwWLVqElpYWjY2NNDQ0YGhoqHBdytPwpPvYk/DZZ5+hp6fHuHHjcHZ2lmSc48eP88orr/Dcc8/1iG5Fo7y8HBUVFfT09DplBomOjiYnJwd7e3sMDAwwNzdn4sSJCuc758+fp6SkhPv373PhwgUpOsXLy4sJEyagq6tL3759H8lHGhoaqKuro2/fvgqNDO4uRNoWL17MP//5T0aMGAE8vGN+9tlnvPXWW92uyaVIiGv95Zdf5vPPP5f0AoIg0NTU1KUzvaOz5m+//cayZcue2ifR8aC7KfEUjfr6+kfKbW1tbZLMfv36dZqamujfvz8LFy7sVnr2RyE8PJx+/fp1OjvFuu83btzAwMCApUuX9uh8XL9+PQCLFy/G0NCwy/ywI8+LioqipKSEjIwMqqqqaG1tpbm5mZUrVypE3hf5+eP697R+i99HRkbyww8/sHDhQlpbW6WaxVu2bPnLaxZ3RGJiIt9//z1paWkYGRmho6ODXC7HzMyMVatWYWho2Gu5RxGyk9iGIh3YW1paFFof7FEIDQ3l66+/5oMPPmDo0KHY2dkBEBwczC+//MLx48cf+2xNTQ1paWl4eno+U4f2/3NpEsUJXL9+PTKZjBMnTrB+/XpGjRpFXFwcLi4uvY6waWlpITY2ll27duHk5CR5MPUkH+yT0NraSkhICLdu3aKuro7NmzdTV1eHmpraE8NjO6b4Cw0NJSYmhjfffBM3N7debTZxbEtKSggKCmLnzp34+Piwffv2LgnIIl3JycmcO3eOEydO4OHhwbZt28jNzZVSTXYXHdMAhIeHc/36db7++mvs7OwQBKFTGpLuoK2tjfT0dA4fPoy1tTWvv/46MplM4QoIsb34+HhOnTrFlStXpOLrlZWVfPjhh0DvQrhFiGMVFRXFqVOnCA8Px9nZmaFDh5KamoqmpmYnbx7x92lpaVy9epWbN28yatQoFi1aJKVHe5JRQVwzO3fuJDY2lry8PLZu3YqVlRUVFRWYmpo+swuf2O7q1auprq7m3r17HDt2DLlcTkZGBs7OzgplntevX6ewsJBXX30VT09PBEFg4sSJFBcXk52dTWVlZSdDmDg2HdO3ib4HSkpK0jwoKSlx4sQJZsyYgZmZmRRO3NbWRnR0NKGhoVLas+6mAY2NjeXcuXPExsayYMECZs6cSVlZGQYGBgpb5zKZjOvXr7N9+3ZycnIk70MnJycWLlwoGfy6Qrc4Vqamprz00ktkZGSwe/du1NXV6du3Ly+++KKU9kAcX7lczv379wkKCmLKlCn4+Pj87fW3xLHV1dXFyMiIGzduMG/ePNavX8+1a9dYvnz5M6nB0ROI41hdXU1oaCjh4eHY29uzbNkyqqur0dbWZu3atWzcuBE9PT2Jh3eF9o5nyq5duzh37hxOTk7s2rWLqqoqVFVVFR4RGx0djVwux9vbu1trXFyjqampXLt2jWvXruHl5cXSpUspKCjAwMCgV8rj7Oxs9u/fzxdffIGZmRmampp4eHjQ3NxMfn4+xcXFXVLEdfQMDQ0N5ciRI7i5ubF9+3aKiorQ09PrEp27du3ipZdewt7enpiYGAYMGCDVCgN48OAB0DVFU1JSkuToMXz4cEaPHs3o0aOBhwqa7Ozsp9LzKISEhLBkyRLMzc1JTEzkiy++4KWXXupSPbTeIiwsjIULF0qK1ZdeeonVq1fT0tLCr7/+ipmZWSevQRHieK1atQpTU1N27tyJtbU1U6dO5ebNm491ahCfU1VVZfz48bi5ubFmzRqCg4P5+OOPe+2BvmHDBhYtWoSPj8/fVvgdHu5PCwsLfvrpJ+RyOb/++iuff/45BgYGUqo90UCbnp7O6dOnqa6u5qOPPkJTU7Pb6Wg6GicrKio4fPgwI0eOpH///t0yOL322mt888032NjYUF1dzfXr1zl79iwhISG9OktF+h48eEBCQgL79u3jueee63LK1O5ALpdTVlZGUFAQJiYmPP/8871yehs6dKjEM0ePHk1WVhbJyckcO3YMLS0t1qxZ88i2lZWVCQ8P5+DBg1RXV7Nt27YepRrqCsRIHBGi85FMJpPuDr3ZC0pKSly9epWwsDBKS0vZvHkzysrKqKmpoaKiIu21a9euMXjwYNTU1Dh48CATJ05ER0eHgwcPsnLlyl73syPU1NT45ptvqKiooLCwkHv37nH58mUCAwNpaWnB09NTSrXVEX/k9YIgdEoPpiiesWTJEj766COcnZ2pqKjA2toaa2trXnnlFamuGnSWd1esWAH8V7GemZnJhQsXqKmpYdGiRRgbG2NsbPzE99bW1tLc3CwZwn755RcSEhL48MMPCQ0N5cSJEyxbtkyhyiGxD/Hx8fz8889oaGggCAJ9+vTB3NwcT09PJk+erLD3PQrivGZnZ/Pjjz9y584d2trasLOzQ1tbm+HDhzN37lzkcjn37t3j1KlTjBgxgtmzZ/fofSI/XL58Oe7u7gQGBjJ16lQMDAy4ffu2lIZSUfu8YztXr17l8OHDfP3111LdHPEemJGRQUREBM3Nzbz55pu0trairq7+1HWdnJzM9u3bO6WNmzp1qlR/zcfHp9cGxN6grq6O/fv3k5qaSn19PXv27KG4uBg1NTWOHDnC7t27WbRoEQMHDuTMmTOoqalJKa0VhaysLN5//30APvnkE8LCwh5bc0Ycb3FvBAcHExoaSnR0NBs2bGDs2LGS49hfDSUlJdra2qQsFiK0tbWl6Dp4dmUfngaZTEZlZSVtbW0MGjRIMvACfPDBB2zatOmpzqfi+Mvlcmpra1m7di39+/fH2toaOzs7xo8f3ykDxs8//8yDBw84efIka9euZfz48SQmJuLg4KDw+9sfIcpoUVFRxMbGEhQUxNtvvy2lr4uIiGDixIno6uoyc+ZM6W5QVFTEqVOnpHZ642y+ZcsWvv32WwBOnz7NmDFjMDU15bnnnutkCO/u+VhSUsLZs2eRy+WkpKQwfPhwhg4dKhmtn4SbN2+SnZ3NvHnzpDuKXC6nqKiI7OxsSktLFbZ/lJWVSUlJ4eDBg1RWVrJmzRr09PQkPt/V0hdJSUlMmDBBiqJ74YUX+PnnnwkLC3tiDeZnBXFtyWQyLC0t2bdvH62trRw5coQff/yR5ORk2tvbpTrLDg4OPeLzoaGhHD9+HCMjI1atWoWysnKPdFSifv3ixYvU1taybNkyZDJZj+pwCoJAUFAQ165do6ysjL1799LU1ISamprCaoXBQx7/3HPP8eDBAy5evEhsbCzNzc2kpaXh7OwspbvvKOuJ8/LLL79QVFREQEAAq1atYu7cudy5cwcbG5unphDtLv5+TVw3IdaJuXXrFq+99hoWFhZS4dN9+/ZJQnRPIB4qZ8+e5fTp0zg5OZGamoqysjKXL1/mzJkzCumD+J6IiAguXryImZkZzc3N9OnTh9zcXE6fPt2ldj755BMEQeDatWuUl5cDEBgYSEFBQa/oCgoKknJ1ihs/JCSEbdu2PfF5UdEfFBSElZUVL730klRH6ezZswQHB/eILnGDfPvttzg6OlJfX4+RkRFyuZyAgABqamq61Z7YzwsXLrBnzx6ampqIi4tDRUWFyMhIbty40SM6n4Z//vOfXL9+nVWrViGXyzl8+DDHjx/n559/Zt26dZIHfW8gzsGZM2cYN24c//73v6Wc22fOnCEgIKDT78R/d+/ejaqqaifPogsXLhAfH//E98lkMkpLSwkLC5MiXcTUTl999RUNDQ297tOT+nnnzh3Kysr48ccfMTAwwMTEhPLyctasWaNwo+bvv/8uHRIBAQFcv34dmUyGubk57u7uf0oD2NEQ1vGzPwoOt2/f5uDBgygrK1NaWsqBAweAhwKIt7c3q1ev7rEyYsuWLXh7e9PW1iYZ6g4cOEBiYmK32nkScnJy2LlzJ7NnzyYiIoLDhw/z2muvkZGRwccff0xzc3O36TYzM+ONN95g7dq17Nq1i3feeUeqcwAP97C4j3ft2sX58+eJj4/nypUrwEN+05NIFEVj9uzZ/Otf/yIqKoqNGzdy584dKa1dVlYWJ0+e/LtJlMbx6NGj5ObmoqqqSlVVFS0tLcTExEjnqp6enmSU7W7bv/32GwYGBqxcuVK6qF26dIkNGzYotC9r164lLCyM5cuXU1ZWRmVlJSkpKbS2tj71WZGn7N+/H2VlZXR0dKSo6ytXrhAVFdUr2i5evCi948KFCxw6dAh4qLi0tLTEzs6uSwKy2Mbx48fR1tZmzpw5kqfVuXPnurym0tLSpCi09evXd6pdcuDAAerr64GuKaxGjBiBh4cH//nPf9iwYQONjY3Sd4+rT/M0lJSU4O/vj7a2NrNmzWLZsmUEBwfzxhtvPFPFk3hutLe3k5ycTHNzs3SRLigoYMWKFRgaGlJRUfHI50XPvTt37vDGG2/g6uoq9X/Pnj1UVVU98jnRsJ+Xl0dwcDBZWVnMnz+f27dvs2fPnm7LOR3pAdDR0ZE8W/9OI/zly5elyDhVVVUMDQ3x8PDg6NGjzJo1S0oZW1RUxJo1a9DV1SUmJgY9PT1yc3M5depUJwVQV7FmzRpCQkL46quvqK2tBR561HZcq0+Ck5MTY8aMYdq0aQQGBiKXy9m3b1+v5QyxL1999RXZ2dkEBQVRXFwMPEzplp+f36v2AYlvnzlzhm3bthEcHExCQgLwMBVpRkZGt9sU5VUvLy82bdrE/PnzWbx4MYsXL+a5557Dy8tLSsMsQvx/ZmYmO3bsYObMmVJ2i4yMDPz9/Xs0t09CTU2NVFMEkCLEersHxL6kpKSwd+9e3N3dqa6uRldXl9zcXAIDA4H/8s/y8nLq6+tZu3Ytzc3NLFmyBD09Palen6KhpaVF//798fb2ZsGCBaxevZp169bxzjvvSCmw/nied+T17e3ttLW1KXw+GhoaKCkpke4lH374YaezJy8vTzJqiXMUExNDaWkpW7ZsYeHChUycOJGFCxcyZ84c9u/fT1xcHECntfYoJCYmSlHUeXl5XL9+nddff51JkyaxYsUKIiIinpmX9JkzZ7C3t+fDDz9kwYIFjBo1CrlcLq3NZ5mkR5zDkJAQ3N3dWblyJa6ursyaNUuq2QcPz/0rV66QnZ1NbGws8NAp5ObNm11+V8c9LpfLmTNnDubm5tjZ2aGuro6/v79Cz5/AwECSkpKkmpju7u64urpy7tw5KbUyPJz7TZs2ER8fz82bN1FVVaWgoOCpcl1eXh6CIGBpaYlcLpfGUiaTMW/ePFJTU7skXz4LiLScP3+ewsJCXF1d0dLSQhAEcnJy2LZtG/369cPQ0BBtbW3efvtt/P39MTAwUHiKO21tbd577z2ef/559u3bx0svvcSKFSsICQnptL87QlwH27dvZ+3atVhYWEgGxy+//JLU1FSF0tgViIrYWbNm8fbbb7N7927i4uI4e/Ysra2tkqPO35nVIjMzEzMzM+DhGCopKZGdnU1dXV2Xs7AATJ48mV27dvHRRx/h6elJXV0dv/32myQTifNz6dIl5s6di5WVFS4uLigpKREQEPBYGViREMfZ398fa2trzM3Npb4HBgayadMmySC3ZcsWGhoapBpU7777rhQV1lNDWElJCQD29vbI5XK2bNnSSRG/efNmSZ7sLkxNTbl06RLHjh1j8uTJ3L17lw8++EAyvD0Jv//+uzQ2x44d4+rVq6iqqmJtbY2Pj0+PHRkehYqKClatWoWXlxcJCQno6+uTnZ3Nr7/+2i35RVVVldLSUkpKSiTZo6ioSLoPKFrWeBrE8QsODu7k5JuQkICvry9vvPEGPj4+xMXFsWTJEvbu3Qt07awW+xIZGUlISAijR48mPT0dDQ0N7ty5w/bt27tMp/i+1NRUNm/eTENDA3fu3EFLS4v8/HzOnz/f5bZEum7dusWFCxcYOXKklM0pOzubgwcPdrmtrkDkIdOnT2fhwoU4Ojri7u7OBx98wMcffyw5t3eUCcQ7VUhICPPnz2fkyJFS5OrevXulTDQKpVPhLT5DiAsiPj4eW1tbzMzMUFVVxcjIiPLy8k5FBHvT/pUrV5g1axa6urrSRKWkpHDv3j2g9xtWfM/ly5eZN28etra2UjG427dvS5fUx71HSUmJ5uZmysrKmD9/Pg4ODlI4+okTJ3pMn8gYoqOjmT59OikpKVKIeGZmpuRF+TiFqLiAExMTeeWVV8jMzJSej4+Pl0Kru0OfOFbR0dH069ePcePGoaenJxnDfv/9924XLxfbPH/+PK+88gqWlpbS+N2+fVu6BCjiciK2IXqAGBsbM2XKFL799lsuXrxIUFAQ8+bNIycnRyHClTgHqamp+Pr6cuXKFWkN5+fnS/0U6RJ/n5mZycKFC9HU1JTqd4SEhEhz/aixEOcxOjqaESNG0NraiqWlJTKZjKKiIsrLyyXBXNHouC58fX2JjIyUFMJ5eXno6+sjk8kUerjm5eVJuZFPnz7dqb7AN998Q0xMjPR3QkICAQEBxMfHS8rPRxnH4OGhNGrUKODhmrx165b0XXcPTREij2hqasLPzw9VVVVp7q9evSopkxUxN5cvX8bW1paXXnqJ1tZWDAwMmDx5Mv7+/ujp6XH9+vVutSdGxG3dupXQ0FDy8/MZOnQoH3/8sbQ2xQsAPPSQeuWVV3B0dJTm5/z581I0yt+ZCdjR0ZGdO3cyYsQI1NXV0dTUZNSoUaipqZGamkpoaCjw1wuBHSGuyfj4eBb8f9R9Z0BU19b2AwwDCEjvCogKCDYsGEVRxIrYAEXRa4s9dmM3ajS2xBY1iQVLFOwm2IiiKEjvDiJFemfoyFBmmJn9/eA9+4IFBhjMd59fypyzz9pt7bVXnT+f1lOQl5dHYGAgsrOz4erq2i4am3qEjR07FhwOh0Y8ZGZmUs/LthrZmoKZ3/fv3yM9PR0zZ85Et27doK+vD5FIJLHyheGFiYmJWLJkCfWKBxrXU0u8UBJwOByMGTMGQKOCqeml1cvLixqxWmuf6UtsbCzmzJmDrKws6hn45s0balBrab5iY2NhaGiIrl27gsvlUs84oHEu/vrrr2bpl1uDnp4eNm/ejNOnTyM3NxerV69GWFgYRCJRuw2oTHQvAHTp0kVq9WAlxerVqxEaGorLly/j1atXOHr0KI2UzM7OblZT4WPEx8fD1NSUOpbo6uqivLwcFRUV6NGjx2ffKSoqwuDBg/HLL78gKSkJFy5cQEREBPbu3Ytp06a1ywO3qWKSMS7FxcWhqKio0xxVWgOPxwOXy8WRI0fg7e2NW7duNStMLxaLISMjg5cvX2LYsGHUIxNoNMA8fvyYGhwlgYyMDCoqKpCSkoLDhw/DwsICFhYWEAgEOHToUIvjwKzFkydPYvXq1aiqqsLQoUPRpUsXbNu2jRb97giaymyrV6/GgAED6MXv+vXr1OjUkXOs6aV/zZo1GDRoEI1CffjwIYKDg9v8jdu3b2Pfvn3Iy8uj6bYMDAzQv39/ODs7Uw/tjw0sQOMdy8HBAV27dqUG+YqKCkRGRrZpblsCw3fu37/fJmW+pGD68vLlS0ycOBEmJiZ0nebn5yMkJKTZ8+7u7tDT00NGRgamT58ONpuNe/fuYezYsVKnjQEzjvLy8lBTU4OZmRkmTpxIo0Lk5OToM9nZ2fTuCYBG1EjbcM6kJAQa+WTTIvJVVVVYu3btJ3Lyq1evaDQRn88HACgqKmL06NH47rvvaP3I1u5QpqamEAqF2LJlC3bv3g11dXWa9jQ2NrbF+rTtBTN+dXV1+Pbbb9G7d28MHz4cM2fOxPLlyzFt2jSJaO8ImLZjY2MxfPhwBAQE0KgGFxcXum4jIyMxe/Zs2NraUlk7MDAQCQkJANomp7558wbDhg1DcXExdcKIi4uDgoIC2Gy2VGReoVCIu3fvQl9fnzoaampqoqKiAvv27UN9fT1cXV0BNDrITZ48GdOmTaP0xMbG0rXzJZ7DYrFgYmICPz8/sNnsZvshLy8PSkpK0NbW/lfvGaGhoZg/fz6UlJTQt29fyMjIIDIyErm5ufjmm2+QnJwMNTU11NbW0j0HSPfeoaOjg7Vr1+LYsWN4+PAhtm3bBlVVVVy9ehVDhw7F+fPnmz3fVDZhMiXIysrStZiVlfVFWakzwZzHLi4uWL16NRISErBlyxb4+vrixx9/BPDv3tcAwNzcHA0NDdi5cyfi4+Px9u1bPHjwgMrLkoKpu2htbY158+Zh69at2Lt3LzQ1Nen8JCQkwMjIiKZ1NTIyQnV1NVJSUjqlds/HkJWVRW1tLcrLy+Hk5ITa2lrKmx49eoTevXtDVlYW7969g7+/P11HjONJRxEaGkrlGw6HA0tLS+owkZubi8DAwDanjWzqJBodHQ0tLS3MnTsXZ86cQVhYGLZt2wagZXksIyOD6vbu37/f7D75888/t1nv0hKdQUFBsLGxgYWFBc1Axufz8fz5c4kcOJlyJl5eXnj06BH27NmDS5cuYffu3ejatSumTp0KAFJ3YG8NDC8fPnw4zWDCGIbKy8thbm6OBQsW4LfffqMZ2ADJ5GTmmfDwcJqSlskkkp6e3iZ7QlOnB0dHR4wcOZKuybS0NDx48KDNdL18+RJubm7o2rUrtT+kpaVJzc7xMRQUFPDNN99g6dKl+PbbbzFp0qQW7085OTlQVFSEsbExKisraWBNYmIi1fVKE/9TaRKZA5zNZkNXVxdbt26liys4OJgOUHtz7TPvCAQCWFhYwNPTEzt37gTQKLT/5z//kUY36HeYOkFPnjzB0qVLATQKkJKEryckJMDCwgIVFRVQVFSEuro6CgoKIBaL2+3xw1xCe/XqhfLyciQkJND6FImJiZg7dy597kuor6/H4MGD8c8//yArK4sqjHJzc2n6pfZcrvLz82FlZYXnz5/T3LLR0dHtmnPmuQ8fPsDa2hqenp7YunUrgMbDbsGCBQCkEwbPvJ+RkYELFy5g0KBB1OsxKysLLBYLs2bN6nBO46YghMDZ2RlXrlzB+/fvMXz4cPB4PKSmptL5bDoHXC4XJiYmePv2LT58+EAZY3V1NZ2/z41D01QHZmZmuHXrFr14BAQE0HRQYrFY6occ821zc3Okp6fj1q1bWL58OYBGAYlRDkvrgpKcnIyGhgbo6upCJBJBXl4eVlZWdI0kJiZSAQZoPOzi4+ORkpICeXl56OjowNTUFL169UL37t2beRZFRETg22+/BdDIZ6ZMmUJ/++effz4JHZYU2dnZ6NOnD2JiYqCpqQkNDQ1wuVzIysrSS4Y0LuBxcXGUN7JYLIhEIggEAnoxS0xMxLhx41pNzcX078mTJwgNDUVSUhKKioqgrKwMVVVVeHh4wN3dnT4vIyMDHo9HeV52djZNzZaRkUEViv+WB59AIKCejSKRCPv374ePjw8V5BMTE6W+TtuDpsrHtLQ0+Pj4QFNTE2/fvkVsbCxOnDjR5iKvTdsGQIufxsbGUl4bFxdHz1dppPcNDQ3F2LFjISMjA2NjYwCNY1xRUUEjylv7TkVFBczMzBAVFQUul0vXUFlZWYdS+xBC8PbtW+zbtw9AI89tml4jPDyc8oDWxpmJIOrbty+ioqKQmppKC2ZnZWVhx44dAFoe09evX6OqqgplZWV48OBBs3ztHA4HmpqaVGElydwwNfqsra2xY8cO3Lt3Dw8ePIBAIGi1mPfn+gc0KpoCAgIwa9YsODo6om/fvujTp49Ua420BGtrayxdupReWG1sbPDTTz8hJycHGhoaLaaS0NbWhra2NpYtW0ZlFH9/f8p3P8d5iwZpAAAgAElEQVTLc3NzIScnh9jYWKiqqmLp0qXQ1dWFmZlZu/vKvCcSiWBlZYWCggKcOHECenp6MDAwwNixYyk/+lpYtmwZrZWXmZkJNpuN+Ph4mobVw8MDSkpKyMvLg729PSIjI6lTVUREBL0USSJXMOskKioKgwYNQlpaGjQ0NCAvL4/c3Fx06dKlxfXUdO0fPnwYPXr0QElJCQ4ePIi//vpLat63KSkp6N69O+rr68Hn8+m/hUKhVM4xph98Ph86Ojp49+4dlXPT09Pb1Q8XFxfcunULt27dwuTJk6lRixlLRUVFCASCZgYVZr54PB4GDRqEoKAgemaHhobSCEppyIzMN0tLS9GvXz8AjXyKSYvTUSNP077069cPL168oE5NERER9Gxn+qKmpoYVK1ZQo3ZZWRkcHBzaVHy+rfjSmvnYQCknJ4cbN27A2NgYAwYMwLNnz+Dt7Y25c+dKvR7Sq1ev6DjFxcU14z+RkZH0/tGUR8rLy1MjGOOUWVtbiy5duiAjIwOGhoafvPM5dOvWDRs2bKDObO7u7nQ+fH19KV3SBnP/2rZtGxYsWID+/ftDW1v7qzl4MPKPra0tunXrBpFIhOzsbJSUlOD58+f4+eefQQhBdXU1evbsidjYWCqP5ObmUvleEh7EPNOzZ0+kpqZi7969mD59OoDGM1Ca6V9jYmKgrKwMHR0dEEIQFxeHn3/+Gebm5ti9ezdyc3NpFElhYSGcnZ3x559/Upnk3bt3LfIcQggMDAzg4OCAY8eOIT09HQ4ODrC0tERycjKuXLkiVZ7VVjA8jNH//PPPP1TGjI+Px5IlS2BjYwOhUAgTExNs374dpaWlmDRpktRpOX36NNatWwcZGRloaGhg9OjRdJxzc3PpvmVkSmad1NXVwcbGBk+fPqVOMQEBAdDT02uTDCoNzJo1C9bW1nBycoKtrS1cXFzo2di0DvW/nd5eTU0Nu3fvxtWrV3Hnzh0kJSXB1taW6kBaAlMj6OrVq4iOjqblG/T09GBiYkL1j033erdu3bBv3z7KmyMiIj6pNdiZKCgoQN++fREYGIguXbqga9euKC0tRX19PeXZYWFhVJYAGu9UTARJR2iMjIwEn89HVlYW7ty5Q8cAaDSmM/JZW/QzzJ378ePHSE9Ph7KyMszMzDBs2DAMGTKEOmV8id9mZ2eDz+dTYyTjuMnIXrGxsRKthdbQ9C42dOhQREVFUZ1gSEgINb5K0nclJSW8ePECqampePnyJWJjY5Gamgp5eXlUVVVh5MiRNH3i18aIESPw/PlzuLq6Ugd+BQUF6Ovro7i4GKqqqlBSUqJO5G1xrq2oqMCUKVPg6emJOXPmAGiUe5h1K4nuh/kel8vFiBEj8OjRIyo3xsbGtukMYn5nsViQl5fHgwcPqG4/KiqK7qHO0Ekxjo6S1ny2srLCsWPHqPNUdHQ0tLW10aVLF6nzHbl9zMn5PwQ9PT1UVFTg+fPn0NDQwIMHD5CSkkK92gkh7R4kkUgEFouFo0ePIicnB2PHjkVycjKeP3+OjRs30ouUNKClpYX79+8jMTER06ZNg4+PDxISErBy5UooKiq2+B1lZWXExsbi119/Ra9evTB69Gjcvn0bcnJyGDduHEQiUbvHQFlZGXv37gWPx4NIJMLjx4/R0NCAhQsXAmhZIGaxWFBUVMSFCxfAYrFQWlqKK1euwNTUFE5OTm1WYjHPqqqqIiIiAnfu3IGDgwMqKyvx999/w87ODn379m3znDc0NKChoQE3btxARkYGXF1dkZaWhkePHmHTpk1SnWexWAxjY2Pk5OTg6dOnYLFYePbsGX7//XcQQjBkyBDKJDqCpjWqdHR08ODBA1RVVcHX1xePHz+Go6MjRo0a1WwORCIRVFVVwefzcfbsWaiqqsLa2hrHjx+HlpYWJk6c2CJtYrEYlpaWuHLlCu7cuQMWi4Xk5GRwOBx4eHhQy39nKC4JITA2NsajR4/w5MkTREZGIiQkBF26dIGHhwdUVVW/GI3VVgQHB+P58+eoqqrCvXv3wOfz4eLiAhkZGeTl5SEsLAzu7u50bHv27AlLS0toaGhAVlYWZWVlSEtLQ3x8PAICAmBpaQk1NTUIBAKcOnUK1tbWIITgxo0bWLx4MY12vHLlCubOnUtrr0naF6FQCB0dHWRlZWH//v1QUVGBsbExzp07B0tLS9jZ2XWIRzTFnj17YGpqSoVU5pAFGlMbTJw4Eaampq3ufWYPnz9/Hh4eHlBRUcHYsWOxbNky+Pv7w9zcHAMGDGhGN1Nf4sKFCxCJRJg+fTpiY2MRHBxMHQz+LRw9ehS///473rx5AxaLhbt37yIuLg5Lly5FWVkZvL29sXjxYmhra0ttnbYHjFBRV1eHnTt3QigUYsWKFQgICEBmZiYePXoEoLE+THtpNDQ0xPfff4/379+Dy+XCz88PSkpKbVKyfAnMu/n5+eByufDx8YGDgwOsrKxw48YN9O7dm/LY1or8Ml6FFy9ehLKyMgwMDHD27FloaGhgypQp7ebTGRkZePLkCTIyMvDs2TMkJCRg2rRpdJ97e3tjzZo1Ep87cnJyUFRUxJkzZ6jX3fXr16GhoQEXF5dW91pqaipqa2vB4XAQEBBA69soKiri/v376NWrl0Rj1pSeqqoqsFgsqKmpQV5eHpGRkThz5gzk5eXbpABj6GaxWLC3t4eWlhYKCwtpvQAbG5tOryUhEomQnp4ORUVFzJgxAy4uLrC1tYWOjg5UVVUxfvz4Fj0iu3btCjabjZiYGMjLy+PixYu0tg2jnPu4No+RkRGWLVsGGxsb5OTk4N69e7h37x78/PzA4XBgYGDQLBpZUhBCoK2tDXt7e0yZMgWDBw8Gi8UCh8OhNSKkIX9Igg8fPkBLS4vWMbWyskL//v2hpKSEDx8+oLq6mkZPysnJ4Z9//oGfnx9cXV1RV1eHmzdvYtasWfRy1BrNzO9KSkp4//49Hj58iFGjRmHAgAG4cOECHZfPrfPMzExwuVxoa2tj+PDhNFJSWVkZampqOHfuXDPnjI5AVVUV79+/x5kzZ2gtihs3bqCmpgZOTk5SmR8+n4+amhpabH3hwoUICwvDy5cvad3atnxDRUUF5ubmiIuLw+nTp3Ht2jWkpaWBy+Xi1atXuHr1KrS0tNCtW7dmYysSiaChoYHLly8jMDAQo0ePRkZGBp4/f4558+ZBV1dXKuehjIwM6uvrceLECVRXV2PEiBE0skOaa11VVRV///03QkJC4OTkBA6Hg5cvX2LhwoXQ0tKiKZ1lZWVRXFyM3NxciEQiWruHidiXFhjeX1ZWRqO7Wlo/zNycPHkS27ZtQ2ZmJry8vNCzZ0/ExcVh8ODBUq3PcPLkSfz111/0LJw2bRqNUrx79y6sra3Rr1+/Znc6ExMTeHp6QiQSwdjYGIqKipCXl0d5eTl+//13LFy4kEYHtTa3urq6GDRoEBwcHKhyKy0tDRkZGZg1a5bUa1EAjQoxPp+Puro6JCYm4uXLl3j16hWqq6upcb+zUF9fDxaLBRkZGQwZMgRsNhtGRka4efMmoqOjoaioiP/85z90rA8fPkyzzkRHRyMgIIDWgmrLvtHX10dFRQU4HA5EIhE8PT2hoaGBBQsW0LtZR1FZWYng4GC8e/cO3t7eCAwMxPz587FixQrIysrC398fzs7OdP3HxMQgPDwcW7dupTWmly9fDjU1tS+mtQcalXLq6up4/fo1fH19cezYMURGRsLW1hZz586FiorKvyLDM3vdyMgIN27cQHp6OoYOHQpPT0/weDxaG1NBQQGWlpbg8/lwc3ODvb09XRPSgEAgQGRkJPz9/aGrq/uJnKKmpkb3VdNvikQi6OvrIzg4GMeOHYNQKERJSQmCg4MxZswY9O3b96saw9hsNpKSknDx4kWcOnUKr169QllZGVRVVb96ZoKWwOPxoK6ujr59+8LAwADz5s3DxIkTJUqRyCjD9+7dS9eCsbExxGIxOBwOLCwsoK+vT9eWrq4uysrK4OvrCz09Pfj5+SEqKgqzZ8+msmNnzg8hBGpqaigpKcHFixdhbm6O2tpaeHl5ITMzEyYmJujTpw+uXr2KqVOnUkfImzdvwsbGBv379+8QjTk5OSgrK0N0dDSSk5Ohrq6O6upqEEJw+fJlTJw4kZ5fbdVtTps2DQsXLoSFhQXy8/Nx4cIFxMTEUKPJlxASEoLHjx+Dz+fjwYMH+PDhA1xdXSEjI4PS0lK8fPlSKsEbTH+UlZVx8+ZNPH78GJMmTYJYLMbt27cxffp0apD7Ut8vX75MHcnl5OSgpaWFIUOGwNnZGfPmzUPv3r2RkZGBioqKTnNGaQ1ycnJwdHTEkiVLoK+vj6ysLGhpaSE+Ph7JycnIz8+HjIwMvbu1BWZmZtixYwdCQkIwfvx4pKSk4MWLF1i5ciWtadkamLGVk5PD69evERwcjMWLFyM9PR1///03Fi1aBC0trTadQVpaWrh9+zbevn0LOzs7+Pr6IjExEcuXL4eysrJU9jTDQ5gI6qZnTmt0qqmp0bSt2traePbsGcLDwzFt2jRYWlpKne/IkH/TJb0d4PF4YLPZYLPZSE1NxfPnz6Gjo4NRo0a1a6F+Cbdv34a/vz8UFRVRVlaGNWvWYPjw4VL3SH7x4gW8vLwgEAjQq1cvTJs2rcX6Gk2/n5mZicuXL6OqqgoJCQlwcHDA/Pnz0aNHjzYtlM/1KTExEc+ePcOHDx/QpUsXLFu2DOrq6i32v+lv8fHx8PX1BYvFgrGxMZycnKCiotKh8UtOTsaFCxfA4/FACMG4ceMwderUdhf7E4lEOHnyJMLCwtCjRw9wuVzMmTMHU6ZMkfo85+fnIzc3F+vWrUN9fT3mzZsHDw8PdOvWTWIreUtg3mfy9zKFUTMyMiAQCKCsrEy9qz8HgUAAHx8f3LhxA7KyspgxYwYcHR1hZGTU6lqqrq6GiooKYmNjce/ePcjIyGDNmjXUW7OzIBQKkZWVBRMTE9TW1iIkJATV1dWYNWuW1IWznJwcvH37FlwuF4mJiSguLoaWlha6d++O+Ph4WFpaYvv27V/0kGEKm6ampiI1NRXffvst2Gw2qqqqcO7cOWRkZODDhw8oKSmBm5sbzMzMoKmpiX379rW71p5AIICsrCyCgoJw48YNcLlcLFu2DPb29lBTU5PKGq+srMS5c+dQW1uL0tJSsFgsGBkZoV+/fujTpw82b96MmzdvUq/AlsDQM2PGDHh5eeG7777D1q1bYW1tjR9++AHz5s37bIRSQUEBfv/9d3C5XIjFYgiFQixZsgSjR49ud5Rwe8HQFh0dTeeOx+MhJiYGR48ehaKiIiorK6mXeGd4aLaHXkIITcsmIyOD5ORkTJ48GbNmzaIXD3d3d+rt3lY0NDSAz+cjIiIC0dHR0NTUxOLFi8FisaTGa8ViMc6fP48HDx5g2rRpePPmDRQVFbF582aYmJi06TsPHz7E3bt3oaysjBEjRmD8+PEwMDBotwDG4/Hw7t07cLlcpKenIz09HbKyslBUVKRGAG9v7za3HxMTg8ePH0NOTg6GhoaYOXMmNDQ0Wu1rQ0MDCgoKkJWVhby8POTl5aG6uhqysrLw8/ODp6cndTJpbcy2bt2K+vp6aGhoICwsDAoKCvRyV11djR9++KHFs6clMONRX19PI4nGjx/fqUongUCAVatWQSAQQF9fH3JyctDR0aGRBEzdQklQVFSEmJgY6OnpUZ7+JXxu7isqKhAeHo6HDx9i/vz5sLOza/MaEYlEeP36NaKjoyEWi5tFMH9tnDx5EuPGjaOROk0hFApRVVVF6wcAjelf7ty5AyMjIxQUFGDq1KmYN29eu779119/wcvLC+Xl5VBRUYGtrS1mz579xYvVtm3b0L9/f8ybNw+hoaHo3r079YYWiUQoLi7ucJrEpt9l5PmcnBwagTBnzhxYW1tL7eKXn5+PH374AZGRkRg+fDgUFRUxZswYmga3vd8QCoUICgpCSEgIBAIBBg0aBC0tLZibm1MlYlPPeqDRo9Xb2xuysrLIz8/HihUr2hxF2hrKyspw6NAhcDgcmvZm2LBhcHJyaubh3VEEBgbi2rVrUFJSglAoxOzZszF27FicPn0aQCOfLioqwtChQ/H8+XOoqamhb9++mDRpEiZMmCA1OoD/nul//vknRCIRTe3TEsrKyrBo0SIcOHAAd+/exaBBg+Dq6gpnZ2d4eXlJvUZjYmIinj59itjYWMTExEBLSwsODg549eoVbt68SZ1am/L5hw8fwtvbGzo6OlBSUgIhBBUVFejVqxeNhm4Lmq53JsNAW9NdSQKmH2KxGA0NDcjLy0NmZibevn2L3r17w9nZuVMjne/du4fExET06dMHvXr1gomJCTQ1NZGWloaqqioMHDiQpsusrq7G5cuXweFwUFhYCENDQyxduhQjRoyQiD8wz+Tm5iI7OxsjR45EcnIyoqOjYW5ujsGDB0tdHg8KCsKjR49QWVkJOzs76rS7e/dumJqaYunSpfQecPDgQdy7dw+mpqbQ09PDqFGjWjxPCgsLUVBQQJ156urqkJmZSQ3q0uQh7UXT7CS3bt1Cfn4+hgwZAmtraxw8eBAaGhowNjaGo6Mjhg4d2mmOREVFRfD09ERJSQn69u2LXr16QUtLC7q6ujTThLa29iep9err66GoqIj4+HgEBQUhJSUFixcvxoABA/7VCKzCwkL4+fnhxYsXiIqKgrm5OR4+fPiv0cPsLQ6Hg6dPn+LKlSvYvn07Fi1aRGs6t4by8nLk5uZCW1sbx48fx4kTJ+hvPB4PJSUlMDY2pnuUz+fTu3t8fHwzfaupqelXN/5ev34dgYGB0NDQwKBBg1BeXk7TgVZUVGDy5Mmws7ODra0t1q5diyNHjkjkiNsaBAIBdZh4+/YtSktLISMjg7i4ONy/f79d5yOjem9KF6MvmDNnTov8NjMzE2/evEFxcTESExNRUlICAwMD9OjRA0lJSdDV1cXevXulqv8ICQnBjRs3oKSkhOTkZCxZsgQzZsxodY9OnjwZv/zyC/r27QuhUIitW7eioaEB3bt3x/r16yXSDXUGmjoNMUEKpqamsLa2hoqKCmpra5GcnIzY2FgEBQVhwoQJmDdvnkTn4MfrLSEhAY8fP0ZYWBjU1NSwZcuWz96BJMGlS5dw584d6mQ2YcKEdmcWi4mJwbVr10AIQdeuXeHm5iZ15ywAmD17Nq5cuSKxo1HTu0JUVBTCw8Ohrq4OGxsbWFlZdcq58D9jDBOJRHj69Cn8/f0RFxcHNTU1ODs7w8XFRWqHO8PoTE1NYWZmhoaGBtTV1UFHR0eivKiSIiUlBWFhYaiqqsKoUaNgY2ODDx8+QE5OTiKDUXx8PBQVFaGsrAyhUIja2lpoa2tDTU2t3XSKxWLcuXMHgYGBMDU1xZAhQzBs2DCJ61RUVVXh/v37ePbsGfT19TFx4kRMmDCh3UUrGVRWViI8PBw5OTmwt7eHpaUlysrKICMj0+55r6ysBIfDQY8ePWBsbEyVgebm5p0iKKampuLgwYMQCoVYtGgRDUuVdnqU9PR0HD16FBwOB+bm5rC0tMS4ceO+qIisra1FREQE3r59CzabjeHDh2PAgAGor6+HgoJCq8LDo0ePEBYWBkIINbaNHz9eqn36HOrr63Hy5ElERkZCV1cXioqKsLKywpIlSyAvL9+pF8u6ujpUVVUhPz8f+fn5NCps8+bNGDhwYLMw4NLSUpoOSllZGb1794aJiQmtI/MxCgoKwOFwEBYWhry8PBQXF8PMzAynT59uk1BTWlqKp0+fUuNU//79MXLkyE67WPB4PJSVlaGgoAD5+fnIyclBSUkJ0tLSICcnh1u3bkmsaOPxeIiMjMTo0aOxf/9+WFhYYODAgVi2bBkCAgKaFTcvKChAXV0dunXrBj6fj5SUFLDZbBgbG7ep3pE0wfQzMDAQKSkpmDx5MgoLC1FTU4OUlBSEhITgjz/+QG1tLa2X9W8jNDQUeXl5CAoKgqysLDXaMZdUQggOHjwIZWVlbNy4UeK5bGhowNGjR5GdnQ0dHR0YGhpi+PDhUk2Tw4ARnoqKiuDv74/09HRYWlpi1KhREimseTweIiIiEBwcDGVlZTg4OGDw4MGoqamRuqc4c+ksKChAQUEBYmNjMWzYMMyYMQNCobDFM7Ourg6PHj3C06dPYWRkhPHjx8Pe3l4qNDFKOi6Xi0WLFkn0XlVVFW7fvg0+nw99fX16frBYLFhZWdEoTkn5MbO2srKyEB8fj3fv3kFVVRWWlpbo06cPDA0NO423M98OCgrC1atXcejQIWRkZCAnJwe5ubkQCoXYvn17q+9XVlYiMDAQN2/ehIWFBZycnNpkDBSLxTQqoiN9bcqL7t+/DzabDR6Ph3PnziEuLg7FxcUSpeSWJiwtLeHk5ISFCxeiX79+n+UjZWVlSExMhIKCAoYOHYr6+nokJydDX1+/zcYnQggaGhqQm5sLNTU11NXVUaeTb775pkXD5ty5c3H48GGYmprCxcUF27Zto/N49+5dDBw4kHoEdwQZGRl0roRCIVXKd+3atV114r6E2NhYqKmpoWfPnsjPz0dMTAxsbGzanVYdaLyXSZpy8I8//sDz588xatQojBo1italrKqqkrqx5XPIzMxEVFQUHj16BEtLS+zatatDBsDCwkIEBgZCJBJh7NixMDAwQFFREVRUVKCiogKBQICxY8dCVVUV+/fvh5KSEsRiMTZt2oSLFy9CR0cHCgoKzWQaaSIiIgKHDx+Gjo4O1q9fT0sKfA4CgQBXr15FVFQUjTh++/YtDh06hJs3b3Z6WtqgoCA8fvwYBQUFuH79+hefS0lJQUxMDCoqKlBTU4O+ffv+a6mV2oL6+nrExcVBJBKhe/fuMDY2hoyMzFdx1mIy5/B4PCon6erqol+/ftDX18fp06cxYMAATJ48mfICLpdL12V77sR+fn7Yt28f3N3dadTp18DixYtRUVEBPT09yMvLY+vWrdDX10diYiLq6urQv39/sNlsxMXFQV1dvdUacceOHYNAIMDOnTsRFhYGVVXVZvvoYwP/1wQhBC9evEBMTAw9z8aNGwcNDQ00NDRAKBQiNzcXhYWFSE5OxqtXr5CTk4M5c+Zg3bp1nUaXn58fQkJCUFtbCwUFBaSmpkIoFMLFxQV2dnYw/b9aN/Hx8bh27Rrk5eWhra0Nc3NzjBs37ov3468BkUhEy5d8zO+KiopoHeKvnQ6ToU1OTg4rVqzA4sWLacp9d3d3HDx4EEOHDm3VseL169e4cOECdHR0kJ2djREjRmD69Ono1avXJ5kKXr9+TaPAdHR0MH36dOrU/rVQXl6O0NBQBAYGUucRPT29T+5lDQ0N1Ej45s0bFBUVQU5ODoGBgR2m4XNnX1VVFZKTk1FRUYFJkya16Xxknj179izMzMzQv39/aGlpQUlJCRs2bICjoyOtodUaeDweKioqqC6KqVW6YcMGjBgxosNrtaKiAlFRUVBVVYWFhQVYLBYqKiqgpaUl0TpITk7GwYMHcf36dfB4PPz555949uwZXFxc8M8//2DcuHFYvHgxZGRk/pU9BQArV66EkZERvL29YWJigvr6elhYWGD16tWwsrKi/J0ZS0nnOiIiAjk5OTRLk5mZGczMzJo5IEu6ZmpqahAbGws+n0/rzyclJUFDQ6PN8ntiYiJevHiB+vp6TJw4EQMGDACPx5O6LMr0LyMjA2fOnMHJkyeb/fa5bG5MquPbt28jPDwc5ubmmDp1KpycnDpsS2gN/zPGME9PT0RHR6NXr16wt7fH27dv8fr1a5rSryMhzIyh7cKFCzTiTEZGBhMmTMDatWvRrVs3qfXDx8cHR44cgZ2dHQghSE9Ph7q6Ovbs2YOePXu2+C6Xy8Xt27fx9OlT5OTkQF1dHX369MF//vMfjBo1qt2XlYqKCpw7dw4xMTEYOnQo3r9/j4SEBLDZbOzdu5cWGP4SsrKycOHCBaSnp2PatGl49+4dgoKCwGKxcPjwYVprpa2Ij4/HL7/8AqAxPPTt27fo2rUrNm/eDGdn5za3RwhBcHAwTp48CSUlJSQlJaFLly5wc3PDsmXLpK70ZBSbycnJKC4upkrLwMBA/Pbbbzh+/HiHFBFNkZycjF9//RUmJiZwdXVFfHw8goODERAQgLlz59I6PQxycnLg7e2NBw8ewNHREWKxGAUFBejduze2b9/eKuO5ePEiwsPDoaurC11dXdTU1OD9+/ewsLDAxo0boaSk1GmX5507d4IQgm+++QZycnIoKChAaGgoCCE4evSoVCNEW0N1dTUqKipoaD7w30Nz//79qKmpQWhoKCwtLVFbWws1NTUsXLiQKtUYxefnBAFGIdizZ0+JlTYcDge3bt0Ch8OBtbU1FBQUUFRUBFNTU2zatKlT5wVo3GOVlZUoLS2lRhAmtWFLwk5+fj7Cw8Px/v17GBkZYdasWUhJScG2bdtgamqKwYMHY/ny5dS71t/fH97e3khPTwePx8OAAQOwaNEijBkzptOUS5KAmafly5cjLS0N8vLyqK2thYGBASorK2FgYIAjR45AW1sbsrKy/5oACDQK0nfv3sWlS5fQs2dPqKurIzQ0FHJycpg1axZNQauiogJ3d3esWrUKY8aMkWgtVlZW4pdffkFJSQmGDBmCiooK5OTk0JS00kphyawrT09PKCsr09zXTdEavbm5ubh+/Tp8fX0xbdo0lJaWIi0tDT169MDevXul4i3+JcFXJBKhqqoKKioqrSpVCgsLceHCBcTFxcHJyQkJCQmIiIiAsrIyDh8+3Oboq895JrYVMTExYLPZn/Vya48ClZmrDRs2wNDQEC9fvoSVlRXy8vIgFAqxfv16qUePfPztq1evgs1mw8PDg/7GpGPV1dVtcS7l5OSwZ88e1NTUYPjw4UhKSoK/vz9cXFzapIBqumbbYnD4Ej2TJ08Gl8tFRgKZE7EAACAASURBVEYGNm3ahAsXLiA3NxcHDhz4qmmIXrx4gYcPHyIiIgI1NTWwsLCAo6Mjxo0bB3NzcyQmJmLdunXQ09NDfn4+ysvLYW9vj++//54q0SRFVVUVvL294eXlBX19fXTv3h2mpqZwc3ND9+7dWzyT8vLysH79ety/fx8NDQ3w8PDA3bt36e9OTk7w9PTsUPR7eXk5fHx8cP36dVRXV9OojalTp0otXYxYLEZkZCR2794NExMTqrydMmWK1OqdNf3Wl2QZoFFGfffuHUJDQ2l0sImJCUaOHAlzc3P0799f6kaX4uJiPHv2DFpaWnB0dPzEC7m93wsMDMShQ4fQs2dPlJSU4P379+jZsyf27NlDPWuFQiGCg4Nx7tw56Ojo4PDhw1BQUMD06dPh6+srlf61BrFYjAsXLqC0tBRubm60xsfn+l1dXY2srCz06tULSkpKVIG1atUqqSuACSGUr7WnXWkbITqDBzJjnJ+fj6NHj0IgEKCoqAhGRkZQVlaGiYkJVq9e/VWiKwQCAY0Ez87ORlFREaqqqsDj8WBiYoKwsDAkJCRAX18fNjY2mDBhAoYPH94hI3V2djYuXLgALpeLJUuW4Jtvvum0c4YZax6PhydPnqCkpAQLFixAXl4eNmzYAF1dXSgoKKC+vh4DBw7Eli1bJGp3xYoV+Pbbb2Fra4sVK1Zg/PjxcHNzAwD8/fff6NatG62h8zUhEAhw+fJl3LhxA05OTpCTk0NiYiIaGhqwcePGZg5nYrEYdXV1ePPmDXx9fTF//nz06dNH6ry2aXv19fXIzMxETU0NevfuDZFIBEVFRZrF59GjR/D19aU1O6urq5Gamgo9PT3s2LFDqjq39oIQQs80Rh/yNWrVfg58Ph8HDx7E/v37MWPGDPj4+MDDwwNHjhyBsbExPDw8sHXr1lajOoqLi5Geno7i4mIkJSUhIyMDCgoKYLPZUFdXh7u7O8zNzXHjxg28evUKRkZGcHBwAIfDQUhICHR0dLBnz56v4siZmJgIT09PpKenY9iwYYiNjUV2djYmTpyI7du3Q0VFBUKhELKysp/wlfLycnC5XPTp00dqZ9eXFPjtgUgkwtGjR6kcbGJigm7duiE+Ph7nzp1rlz6b0b2Ul5ejR48eHaaTSX9dU1OD7OxsWud106ZNGDhwoET74MqVK8jKysKPP/6IgIAA3L17Fy4uLnB0dER0dDT++OMPXLp06avvK+Z72dnZ2LlzJ7y8vDBnzhwcPnwY69evR0ZGBpVPe/XqhZEjR7aqB2+K+/fv49q1a5CVlYWmpiZkZWWhpKSERYsWYdCgQW2SNzgcDrZt2wZDQ0PU1tairKwM/fv3x86dO5tl0ZCUrtOnT8POzg5lZWXgcDjQ0NDAvn372p295UtgxvjZs2c4cOAAnJycMH36dPTu3fuLstuDBw/w+PFjGBkZwd7eHhEREXj+/Dm0tLRw9OhRWn+7U0D+RzBp0iSSk5PT7G8lJSVk9uzZ5I8//uhQ2wEBAWTlypXkyZMnRCQSEUIIiY2NJWvWrCG7d+/uUNtNERUVRRYuXEiSkpJIbW0tqaioIMnJyeTw4cNk8uTJpKqqqsX3f/jhB7Jv3z7C4XAIIYQkJSWRQ4cOEUdHRxIcHEwIIUQsFreZruvXr5Nt27aRsrKyZn8/d+4cWbp0Kamvr2/x/SNHjpBffvmF8Pn8Zn8/fvw4WbFiRavvfwkeHh7Ex8eH5OTkkIaGBlJWVkb++usv4uzsTGJiYtrcXnBwMPnuu+/IlStXSH5+PiksLCRPnjwhK1asIMeOHWsXjS3h8uXLpLKykhBCPhmbn3/+mdy4cYMQQuia6wiOHj1KTpw48cnfIyIiyMKFC0l+fn6zv//444/k2LFjlL78/Hzy+vVrMmPGDLJly5YWv8Xj8ciUKVOa7Ucej0fCwsKIg4MDCQgI6HB/voSsrCwybdq0T/5eWlpKPDw8yLNnzzrt24S0ba6cnZ0JIYS4u7uT8PBw8uuvvxIPDw86Fx/vVbFYTEQiUYfWw+rVq8mVK1fo/7lcLgkKCiKTJ08mR44c+ex3pYGOtrlmzRqyePFicuDAAeLu7k7u3LlDCCGktrb2E75/69YtsmHDBnL16lVSXV1NUlNTycmTJ4mzszPx8fHpEB3SwvHjx8mgQYNInz59iK2tLRk+fDhxdXUl8+bNI5MmTSLV1dX/Nonkzp07ZO3atSQzM5MQQkhBQQEJDAwkU6ZMIXZ2dmTVqlVk8uTJZPLkyeTUqVOkoaGhTW1v3Ljxk7X8999/E1dXV1JeXi6VPjDrbv78+SQuLo4Q8l9ee/nyZfL+/ftW2zh48CD55ZdfSGVlJRGJRKSyspIkJCSQJUuWkLVr10qFzi/R3RacOXOGHDhw4JO1c+zYMbJixYpPzpj20NRWulavXk1CQ0MJIYT4+/uTgoIC+lt76REKhZTHu7i4kPfv35ObN2+SNWvWkJKSkna1Kel3CWkcz0mTJpErV64QDofTTC6TZHwWLlxIsrKy6P9LSkrIvHnzSFJSkvSJlgBr164lycnJZOXKlSQiIoIQQsj69euJr68vIUQ68kd7UFBQQP78808yb9480q9fPzJo0CAyePBgMnDgQJKWlkYqKipIbGws+fHHH8myZctIRUVFm9rfs2cP2b59OwkPDyfR0dHk2rVrZMGCBWT06NEkNja2xXfv3r1LXFxcSGlpKblz5w5ZtmwZ/S0vL494eHi0q89NceTIEbJ9+3YSFxdHBAIBCQkJIT/88AOxtbUlDx486HD7hBDy/Plzsm7dOnLlyhUSExNDAgMDyfnz54m7uzs5c+ZMh9qurKwkXC63Te9UV1eT7du3kxMnThA/Pz/yxx9/kDFjxpCxY8eSoqKiDtHzMbhcLlm3bh1ZsWIFGTlyJCGkUX6MjIzsULs5OTnEw8ODBAQEkPLyciIQCEhubi45e/YscXNzI8XFxc2er6urIydOnCDLly8nixYtIps2bSKEkHbfiyQFc07k5+cTV1dXMmjQoC+uq23bttHny8vLSX5+PikoKCAfPnwghHSOzNgUIpGoVflCJBI1o6MjfEssFpPa2tp2vy8JmPPk4sWL5MyZM8THx4csX76c3Lt3j0yYMIFcvHiR0vK1UV1dTRISEsirV68IIYSUlZWRo0ePkoMHD5IDBw6QkSNHEgsLCzJ//vwOfaeiooJ4eXmRTZs2EX9/fylQ/im+NH5paWlkyZIlxNvbmyQnJ5OYmBhy//59smLFCon0GnV1dWTmzJn0/7NmzWqmI5k1axbVQ3ztOfTz82t2JtbW1pL8/Hxy6tQpMmbMGFJYWEgeP35MSktLm703e/bsT/Q80gSz5luDq6sr1VkxyM3NJXPmzCGXL18mhPw7++Jj/P9AAyGNOsq1a9eShoYGsmPHDhIZGUnmzJlDCGncy9OnT29zm/X19SQjI4MEBweT27dvk127dpG0tDRCCCFTpkz5RF7lcrlk1qxZ5Lfffut4hyTAqlWriLe3N12vYrGYJCcnE3d398/SIBKJiFAo7LQ5+3htt+f8YWhLTEykslNhYSG5d+8euXbt2ieyQ1valCZqa2vJ/PnziZeXF6UpKyuLHD58mMyfP19iOlNSUsiSJUvI1atXibu7Ozly5Ag9d8+cOUN1lpLyDWnD29ubHDt2jERHR5OlS5eS3377jezdu5esWrWKbNiwgdy6dYvY2tpSO4AkY52UlETmzp1LoqOjCSGN5wiHwyG7d+8m48ePpzKVJMjNzSWLFi0id+/eJenp6SQrK4sEBweTXbt2kUWLFrWpLQ6HQ+bPn0+Sk5Pp2VdWVkY8PT2Js7Nzu9aeJAgODiY//fQTWblyJfnuu+/Ihg0byK5du0h6evonz7q4uJCoqKhmfxOJRGTlypXk+PHjnUIfg38vIW8bkJiYCG1tbZpHnIG2tjYOHz6MN2/e0FpJ7YG/vz+GDh0KJycnmtvbxsYGy5cvR15eHuLj46XRDbx8+RJDhgyBpaUllJSUoK6uTsMxBwwYgOjo6Bbfj4iIwObNm9G/f38AjSlnduzYAScnJ/j7+6Ourq5d1vXw8HA4ODhAU1MTfD6fjiVTGDYsLKzF9xMSEjBlyhSw2WwIhUI0NDQAAL799lsoKSnh7du3baYpOTkZ9fX1mD59Orp37w4WiwVNTU04OzvD3t4eYWFhEIvFbWrzn3/+gY2NDRYtWgRDQ0Po6enByckJs2fPRmxsLLKystpM55fA5XLx6NEjqKmpQSAQwNvbu9naXb16NS2SKQ1PE6bGD9DoNSYQCMDn82Fraws9PT28efMGwH+jAeLi4uDu7g41NTUAgKGhIUaNGoWjR49CJBIhNzf3i9+KiIig9TNqa2tpmsRvvvkGGzZsgJ+fX4f709K3bWxsADSGDjNphbS0tLBgwQI8e/ZM6t9sOm8fzxXjOfbxs/Hx8dDV1UVlZSUEAgGGDRuGdevWQUFBgXqTf7xXmfXMfKNpu5IiOzu7WfFVXV1djBw5EkeOHEFhYSG4XK7UPXA+tw/bQnt1dTVyc3Nx+fJl7NixA6tWrcKzZ89QXV0NJSWlT6InHz9+jJkzZ2LhwoVQUVFBr169sGHDBri4uODp06eoqKjocJ86AqYo9IQJE5CYmIgzZ85gxowZqK+vR3R0NLhcLoKDg/9VGoHG1ESTJ0+mOdX19PRgb2+PK1euoF+/fpg0aRIuXbqE8+fPY/369W0KU4+MjMSYMWMgKyuL2tpaiEQiAMCMGTNgZWWF58+fS6UPjDfwhw8fqFck43Xk6+srUSqHuLg4zJw5E2pqapCVlYWamhqsra2xZ88eyMvLIz09XSq0Av/1iG8PYmJiMGnSJOoRyZyzixYtgpKSEjgcTodoa2sBeLFYjLy8PAwYMAAAcOrUqWb80dPTs8Vz5GMwPCMmJgYGBgbgcrmQk5ND7969MWfOHJSUlHxSmF2akJOTg0AggKamJkaMGIGUlBTcvHkTv/76K86ePQuBQNDq+JSXl0NZWbnZHGtra6OsrExib08/Pz8kJCR0qC9N4e7ujnv37iE7OxtWVlZ48uQJcnNzaZrmr1mXQyQSQSgUghACAwMDLFiwAF5eXoiPj8eyZcugra2NzZs300hVGxsbLF68GHw+H7GxsRJ/h8/nIzw8HPv378ewYcMwePBg/Oc//8Gff/4JOzu7VmVtZWVlKCkpYcuWLfDy8gIhBEFBQcjNzYWPj0+r6bUkQVBQEDZs2ICBAwdCXl4eI0aMwP79+7Fq1SpERkaCx+N1+BsPHz6Evb099Ui1t7fH8uXLMXv2bHA4HFRWVra5TWZt379/H+Hh4RK9w8gIISEhqKysxMaNG+Hg4IAFCxZg4cKFcHNz61B2j899KygoCIaGhti6dStNbZaamoozZ850qP3Xr1/D2NgYo0ePhoaGBlgsFrp164a5c+fC2NgYUVFR9FkmImLlypWYMGECSktLKQ/rjFoZTN9v3ryJM2fOYNKkSTh27BiGDBmCIUOG4Pz58zh+/Dj4fD7ltykpKcjMzISKigrevn2LSZMm4fvvv0d5eTlUVVUBdCx6+HP4WD6UkZFpVb5omja2rXc/5vmcnBz89ttv2LJlCy5dugRfX1/Ex8eDy+W2qT1JwNAaExODcePGITk5GVOmTIGrqyvGjh3bZq/ujoL8X2QDAKioqMDa2hp2dnYAgIMHD6J79+7YuXMndu/ejb///hvz58/HjBkzADRGObYGZoy5XC7Cw8ORkpKCly9f4sOHD8jKysKuXbs6pV+fu0eR/0shaGpqCg8PD1hYWGDQoEFwcXHBxo0bIRKJkJaW1mK7ERERKC4uBpfLRUREBBQUFGjKyJqaGojFYgwaNOizNHQ2goKCMHr0aFrHXUlJCYaGhli3bh0cHR3x+PFjXLp0CStXrsTSpUtx9OhR/Pbbb2hoaICmpma77paSoGkEzpe+wdR2trOzg0AgoGurW7du+P777xEdHY3q6uqvOqZv3rxBfn4+eDweysvL6d//jSiwzyE4OBgjRowAi8XCxIkTaXacP/74Az/99BPVCbaEpvx+165dUFBQQI8ePWBnZwc3Nzfs27cPPXv2REZGBlRUVGh9bga6uro4fPgw3r17h7q6uk7rK0NrVlYW3Nzc6J5javStW7cOGRkZzeYJAI0Q66w5k0Z0WX19PYDG85lJ4aivrw9XV1dMnz69XXuzaX9FIlGbz8bPITQ0FGw2G/PmzYOOjg7EYjFMTEywatUqqKqqIigoSKJ2evXqhfHjx+Phw4ewtrbG8uXLaRrU8PBwev587X12+fJlZGdnw9raGpMmTUJ9fT3U1dXx+vVrcLlcFBQUYOLEiXBzc8OCBQtoNhJJ5iYgIAD9+vXD4MGDIRAIoKioiP79++PAgQMYPHgwXrx4ITGd/v7+MDAwgJubG8zMzGBiYgI7OzssXboUsrKySExMlLit169fY8CAAbCwsICCggIIIdDU1IS7uzsGDBiAiIgIidtqC+zs7LBr1y6cOHECCxYsgL29PRQVFT/RzZSWloIQgiFDhgBoPMeZyM8dO3YgNTW1U3V7/xPGsKCgIJqGjFEAMaiurkZlZSXYbHa7D/jU1FRaO4FJRyMUCtGvXz/o6uoiMzMTQPuU002RnJyMMWPGAPiv4CgQCNC1a1coKioiOzu72W9NERcXB1NT02YLiBmLZcuW4d27d+3OqZmZmUkVI0zItEgkQteuXVFdXU2f+xxdTP2FHj16AABYLBZNU6ampoacnBxKc1vGLywsjG4KBoQQyMvLw8HBAVFRUZCVlW1Tm+np6c1yKjN5W8eOHQtDQ0PKWKQhKIaHh9N6EiEhIXj16hVl+EVFRfj555+ldgDweDwkJSXRNI9sNhtsNptetjMyMpql8SsoKEDXrl1pKgKG6QgEApibmyM1NbXFVHNBQUF0v3Tp0gUyMjLg8/n02wzDksah/DH8/Pyo0ltZWRksFouOY2FhIU3D0F6F8+fAtH/ixAkIBIJPjGNN55H5t5KSEubOnYuqqipoaWnhyZMnNA0r8PmxkZOTa6aYbOv6iI2NRY8ePZrVQWEuG/3798f79++lWkurpKQEQPMxIP+XWqItYAQvoHEM+vbti7q6Oqiqqn4i3DU0NKCmpqZZnSTm8ssoTYuLizvatXaBWXOnTp3CnTt3MHXqVBBCMHjwYGzatAm3b99GbGwsnJ2dqYNAZ+wRSVFSUkIN6IyRpqamBjo6OhAKhVBTU4OBgUG7UpYkJiZi7NixABp5BGNoABprAjFngjT6z+fz0bNnT1y9epWul7S0NAgEglZrDJWVlQHAJymKRSIRTExMkJ6eLtVc1UxaqLYq9fh8PoqKimBlZQXgv+csIQRaWlooLCykPFuS84sQgvj4ePj5+bXb2BcdHQ19fX106dKF1sphFNp8Ph9Pnz5tUxo5ZkxMTEywdOlSCAQCaGho4OzZszh06FCnpmaJiopCXFwc2Gw2Fi9ejO3bt2PhwoUYM2YMVV5LkpYrMzMT0dHRmDt3Lvbt24dbt27h0qVLcHBw+CLvZeYrJycH+/btg4+PD/bv3w+gUWZpj5NO0zUwdOhQKCoqorq6Gq6urnj58iVWrFgBNTW1TlOKfQmysrL0zGZ4DqMMKygowNKlSzF//nz6vFgsRvfu3TFhwgSEhoZ+0rcvISoqCn369IG8vDx1DmL4z8KFC1t1Rpg8eTK8vLzw448/Ys2aNejWrRs8PT3x448/4ubNmx1OY5iRkQFtbW26X8RiMT2r582bh/fv30tFhikqKqIX+aayi4uLC+Tk5JCUlASgbTIvI6OUlpZS/ioQCFpUxDB7u7q6GvLy8uDxeJCTk0OXLl2gra1NjebSOA+Yb0VHR2P8+PF48eIFTWWWmZlJeWh7xzcqKore45jviUQiaGpqwtzcvNnZzijQlJSU4OrqigMHDuDdu3dwcHBolyGyNTBzk5SUBEtLS1y8eBELFizAunXrcP78edy+fRshISHIzMykY/3q1Ss4OjoCAJ48eYLdu3fD2dmZpgXtDB4hIyODDx8+0D35JVm3KW9sqvz8XGqslsC0c+zYMaiqqiIpKQkRERE4deoUtmzZgtTU1PZ25Ytg6DMyMoKWlhZqampQVFQEoVAIDodDZY6voQhsaghr+jdGZqitrW2WhlZbWxuVlZUwMTEBIJkimOlvSEgI9u/fj507dyI1NRUlJSWwsbHBzz//DEC6Mi+Px/ukLhBzH0lISKDrur6+np41FhYWsLCwoE6+X1rfXbt2Rc+ePbFgwQJ8//33KC4uhq+vLwoKChAYGEhlm39Dhk9NTf3kDGKcdSorK6GsrIxLly5hz549cHR0RFlZGTIyMrB7926p08KMn4+PTzMHji+t66CgIJqulc1mg8Vi0TYMDAyQm5tLjfBfC0ytxIcPH+L333/HnTt3EBwcjKysLKk4pXQUr1+/xokTJ7Bjxw7U1NRg7dq1mDBhAsRiMUaPHi2RoZlZp4GBgTT1O8N/IyIi8PLlSwCNhjfGAfVjI7hQKERRURGUlJQ6VXaMiYmBjo7OZ2XuwYMHIzExEaqqqs0cLQHp8lKmf/X19bh79y727t3b7JxojxPZvXv3MHXqVPj7+39C68aNGxESEtKhPnysQ2ovwsLCmqUFZHTiampqmDBhAnX4aW0NyMrKYs6cObh//z5++OEHaGhogBCC0NBQaGpqUrnsazrkicViREREYMeOHSgpKaFOIWw2G1lZWVBTU0O3bt2oQf7Zs2dUByLJ3HA4HMycORNAI38Ti8WoqakB0GhQzsvLo3S0hjdv3lA9CrMXRSIRTE1NYWNjQ88wSdqKi4trdmYwcquKigpUVVWRk5MjcVutgVkXNTU1CAwMxIoVKxAeHg5bW1vMnDkTW7du/eQ+HxISQu/I5P/SkTK6FxaLhby8PKnqLz9G51YkkxIyMjKQkZGBs2fPonv37ujRowe0tLRgZGSEoKAgWpOq6eVDUhQXFyM3Nxfp6emorq6Gvr4+1NXV6SSkpqbiu+++63AfeDwe4uLiaCFvPT09arQAGg1lTC7qz224wMBA8Hg8pKenQ1VVFbq6ulSQTUlJAZvNhry8fJtznzP9vnbtGjQ1NdG7d2+YmZlRb4yysjLY2toC+DzDSkxMhEgkwp07d6Cqqoru3bvD0NAQhoaG4PF4IIRQwactTD4sLAxmZmbIysqCgoIC1NXVIS8vDxaLhbi4ONqmpHPO5XJRXFyMhoYGlJaWomvXrmCz2ZSm1NRUrF27VmL6WsPr168p4+FwOJShAY2XT8aQKY18xgUFBTA2NsaJEycgKyuLHj16oG/fvrCxsYGCggJkZGSoZ6yMjAxevnyJiIgIBAUFwcrKClpaWnRus7OzwWKxWqy7FRkZSb3XR40ahREjRlDDW0xMDO13ZwhLfD4fP/30E65duwZbW1s4Ojpi8OD/x915x2VZtv//fQOCgiB7gwqCDAERB27FmYqmmZqlTzkaPmaaI81Hy6epZaapOaAc4MBcqYiKgyUiqOwpe29kb35/9LquLygi49Z6fp9/svu+Oa9zXcd5nMf4HA5IJBJiY2OZOnWqOE5poKysjKKiIhISEkhISGihnJWXl3Pv3r0WSkNJSQmqqqqYmZmJztCJEydy7tw5VFRUxEjL5nOTmJjIkSNHKC8vZ9u2bSgrK3e6jsWNGzdwc3PD3t4ea2trsb+PHj0SZY606iO88847pKenM3HiRCZNmoSjoyNaWlod7nt2djYyMjJs374dLS0tsXYBPHsJDwkJoaqqiszMTOTl5dHS0mpRWycrK0sqUfudgdDXUaNG4erqip+fH71796a4uJgzZ86IEar5+fliRNTfhaioKB49esSZM2dwcHDAxMQEiUQininZ2dli3YGOrmdmZiY5OTl8/PHH9OnTB0dHR4YMGSKeKfn5+VLNStHQ0GDu3LkcOHBAVOhSU1PF87QtGXv37l1SU1PFLAJDQ0MUFBSQlZUVsygFg1BXUFtby8WLF3F3d8fY2JiJEycyZsyYdtfkiIyMpKamhosXL6KsrIyxsTG6urpoa2tTX18v1sKAttdLmAshMs7Dw0OsVyoY6NpbIDsgIICCggJiY2O5dOkS/fr1E7+LiIhAX1+/U2ebnJycGAgzb948Ll++jIqKSgsnibTh7u4uXmCuX7+OpaUlFhYWLfSM9sDU1JTjx48TExNDREQEx44do6ysjL59+/Ljjz/y+uuvt5gnoW1ZWVmuX7+OhoaGWDsLID4+nujoaNauXduh8Qh74JtvvmHOnDmsXbuWtWvXkpSUhJqamnipeNURmU8/r3kgxcOHDxk6dCgFBQV0794dJSUlUT6EhYWJF+f26HzXrl0Tz76nDSppaWktglJak0HCeyJkwE+aNAn4S9+Niopi9OjRHR16C/j4+JCfn09aWhrq6uotagbGxcXR0NAgOis7u0axsbGUlJQ848wV2kxNTe2Ubi6RSKiuriYgIIDKykrs7Oxe6CgW2ndycsLX15fvv/8eBwcHUlJSePjwoVTfbeFZM2fOxMvLizt37rB//37gL718xYoVLX7XUURGRjJu3DgSExNRUVGhV69e4n0xPDxclCOtYeDAgbi5ufHnn392qR5TaxD2clpaGo6OjkybNg0AIyMjGhsbaWxspGfPnhgaGtK3b98Wjrp79+6xdOlSHBwccHZ25tdff0VLS0tsVxpR8UL/rl69io+PD0pKSujp6WFkZIS2tjbm5ubP1G0W1ujHH3/kk08+QV1dnRs3bhAZGcnChQvbnU0o9D8jI4M9e/bg7e3Nnj17ePLkCV988cULg2Y6i5qaGjZt2oSsrCxz587lp59+IiQkBIlE0q5sDmlAeN+b7/en6/vNmzeP1atXM3fuXOzs7FBSUuLRo0ds3boV6Ni7MmbMGLEeYXV1dYvgPJCOzifspYCAAAICAhg7dmwLWS4YPDdu3AggY6cbEwAAIABJREFU9kG4d0VHR/PBBx+In7U2Pnt7e44ePQr8pS8LdYp3795NWloamzZtatHmq0Jubi6hoaHcuHEDW1tb+vXrh5qamiiDU1JSWLlyJQUFBVhZWWFjY/NMLV1pnvsSiYSKigoOHz4s3m/bQmRkJDdv3uSLL77AysqK4cOHi8G6jx49EvVYadcpbAtLly5FRkYGZWVlunXrRnBwMHV1daioqKCsrMyyZcteqiG2LeTn56OoqMjXX3/NrVu3+O2338jOzkZOTo7JkyfTq1evdmUZC+9GaGgo7777bovvbt26hYGBAfBXIEVKSgqurq4YGBjQu3dv1NXV0dHRwd/fv0N6WGcRFBREVVUVwcHBKCoqoqOjI2brR0REoKOjQ7du3Th69CgWFhaMGjWK9PR0CgoKROagrkKQC5s3b8bKyoo///yTESNGYGZmxvnz53F0dOzwuTF//nxkZWXZt28fx48fZ+fOnejr62Nvb09BQUGLWn/Pw/N01srKSk6ePMnSpUs71KfW8ODBA3R1dYmPj6dXr15oaWmJOs6jR4/EgKL27IGnGY8kEgkjRozA3t7+b8m8lJGR4eDBg7i5ufHLL7+IzppVq1YxcuRIhg8fTlJSEt988w2BgYFoamq2W0+ur6/H19cXQ0NDxowZw8CBA1FWVhb1moiICD788MN29zU0NJRFixa1qJEq9CEyMlK0cbwItbW1JCQkkJGRQWhoKFpaWqiqqopyIyYmpkM1rV8EYV/8+uuvYiBmSEgI48eP58KFC/Tr10+0SQtITk6mqqoKFxcXevXqhZGREbq6uvTp04fg4GDx9y/rXPifcIZt2LCB+/fv8/DhQx4+fEhdXR1aWlrY2dlx9epVtm3bBnTugC8tLcXOzo7Lly8jKyuLlpYWenp69OvXj9raWmRkZMSDuisvbn19PbNnz8bV1ZXi4mJRAI4YMQJ1dXXq6uqwtrZ+7nM0NDTQ1dXlyJEjSCQSkTbS0dGRGzdudNoB0bNnT5YvX05RURExMTGEhYUhLy+PoaEhpaWlKCoqoqio+FyFsXfv3ixatEiM3BNopszMzIiJiRHnrqMb2MrKirCwMLZu3YqWlhZmZmb069cPGxsbfH19RcdVe9ckNzcXRUVFtm/fjrq6Ov3798fU1BQTExMxs1Aa6ywgPj4eZWVlFBUVuX79Ol988YX4XXh4uBhZKo1nGRsbs23bNnJzc0lPTyctLY0LFy5w8eJFUlNTRWOIsAbjxo0jOTmZr7/+mrS0NPT09BgxYgQLFiwgNDRUpH543pr99ttvhIWF4efnx44dOygqKsLQ0BAnJydu377N4sWLgZcT7XHs2DGys7MJDg7Gz8+PzZs3U15ejomJCeHh4WzZskWqz87Pz+fPP//k/Pnz6OjocP78eYyMjBg8eDAPHjzAx8eHiRMn0tTURHl5OYcPH2b9+vUcPnwYe3t7LCwsmD9/Po6Oji2M6sK8FhQUsGXLFmbPns3u3btRVlYmMTGRoKAg5s2b12aG3tN488030dDQIDAwEBcXFxoaGrCwsGD27NkEBgYyfPhwQHqXt2vXrhEeHs63337Lxo0baWxsRFNTk8mTJzNq1CjGjx/frnamTp2Kvr4+mZmZ5ObmilHjP/30E7KyssybN09UOouLi1FTU+PQoUMoKipiaGiIvr4+VlZWPHjwgH79+olUt68y2qg5rK2tsbKy4uzZs5w5c0Ysojpw4EC0tLQoKCgQnWF/Vx91dXX5+OOP8fLyYvfu3XTr1g1bW1ucnZ2Rl5dHV1eXnj17dsoYq6mpybFjx0hPTycsLAwPDw8OHjyItrY2SkpK1NfXi/Qu0lKGR4wYgba2Nrdu3aKhoYEFCxaI2cptzbGNjQ3Ozs788ssvYqaDra0tkydP5tGjR+KZ3FkFTNiH169fx8PDg48++ojg4GD27dvHhg0bsLW1xcPD44Xt6OjosGDBAuLi4njy5AndunVDTU0Nc3NzHj9+LDqPX7TvhTF4enri5uZGcXEx/fv3B/7KfF2yZImYSfIi9OnTh6KiIk6cOEFYWBj6+vqcOnUKa2trzp49+0xmd3tQVVXF5s2bGTZsGM7OzkyYMAFra+s2gzOkgeTkZNEIc/jwYX766Sfxu127djF79uwWkfPPg3DBMDc3Z9asWdTV1RETE8Pjx4/x9fVtNRtEWK+QkBC2bduGu7u7eCkOCQl55vxuD2JiYtDX1yc4OJjPPvtM/HsTExPOnTvHhAkTRIrkVwFfX1+io6OxsbGhX79+6OjotHj3y8rK0NHRwcPDg+vXr2NiYoK5uTnGxsYYGhry+PFj1q1bB7QvS0FdXZ2AgADmz5+PpqYmgwYNYsiQIdja2hIRESHqX887C4VnNM+okJGRwcrKSjQEdAVC4NnPP/9MTU0Nenp69O/fHycnJ/z9/cVi1l0xOBUUFJCWloaDgwP9+vVj4sSJODk5YWpqSk5ODnp6emKkbkflcEVFBf369cPf3x9HR0fMzc0ZNmwY06ZNE+XJ88a9fv16Lly4QGhoKBKJhLfeeksMFpPmeThw4EACAwNRVVVl69atFBYWMnPmzDaD+16E0tJShgwZwoULF7hw4QIGBgaYmZlhbm6Orq4uaWlpop7VlpN15syZXRtcKxBoZlxdXenWrRvTpk2jvr4eOTk5kpOTKS4uZvDgwXz++ectjKcLFiygsbGR9PR00Wju5eXF999//9xxdAZCO/v372fq1Kk0NTWRlpZGTEwMVVVVbNy48RlnGPyV3Zieno6pqSl3797l4MGDWFtb4+XlxeLFi9u9dx8/foyWlhbl5eWUlZWhqqoqZkg8nRneVQjv1OXLl+nZsydTpkzB0tKSlStXUltbK8p3aepAT0PQBTw8PNizZw+vv/46o0aNYsiQIc9ku48fP569e/dy584dzpw5w5MnT9i2bRsqKiod6mN9fT0FBQVcvnwZZWVl3njjDSoqKkQGEWlDIpG0MFQKhtf8/HzU1NSYMmUKampqjBw5ksmTJzN69Gi6detGTU2NKGNb299CoKOjo6NIKSnoglVVVdy/f1+kh37VOryKigpbtmwhMDAQDw8P5OTkMDMzY+TIkWhoaNDY2MjBgweJi4sjLy8PY2Njhg8fzrhx47CxsZFqX4S9kZOTg42NDeXl5SgpKbW51kuXLmXs2LHExMTg5+fHmTNnkJeXZ8iQIXh7e3fYtiMNCGvo7OyMs7MzNTU1JCcnEx4eTnJy8t/mCIO/dCczMzOGDBkiOqJyc3MJCwvj+vXr7NmzRwwubAvCfFpbW3Px4kX69esn6oChoaGiYX3lypXcu3eP0NBQfH19kUgk6Orq4uDgwKVLl1i/fn2L9l4G7OzsSE9PZ9++fcBfZTxMTU1xdHTkjz/+EM/Y8+fPc+zYMYqKitixYwdxcXEsXLjwGWdfZyAwTyUnJ7Nz505u374t3hFOnz7dqXdJXl6eWbNmMWDAAGxtbUUmicjISJYvX46SktIL5W1zh7/wXzk5Oe7cucPVq1dZunRpl+wf1dXVWFpaEhMTQ3x8PBoaGujp6aGvry9mvi9btqxFX9rC834j0CW+aghz884772BnZ8fRo0dxcXFBQUEBKysr1NTUGDhwIBs2bCAvL6/FXeFFe76mpoatW7eSlJSEq6srpaWlaGtrM2jQIGxtbSkqKmp3NpxArb9x40aUlZWxtbVl6NCh2NjYoKWl1aGg4qqqKqZPn463tzcXLlxAQ0MDExMTcbyFhYWi3Vca55nQxoMHD9izZ0+LTOZbt26hqKjIgAEDWszpzJkzMTAwIDExkZiYGO7du4eysjJmZmacOXNGdPK+LLkjaXrVYS1SQGJiIiEhITx69Ijs7GwxeqezaGxsJDk5maioKOLj48nNzUVGRobU1FTMzc3573//K1VvZEFBAQEBAfj6+hIXF0dmZiaOjo78+uuvz31OXV0dWVlZpKSkkJqaSnZ2NqWlpWJEsYuLyzObqyOora0lMzOT1NRUUlNTyc/PFyMg33333XaNX4gSj4mJIT09ndjYWN577z1ee+21Ts9fQkICDx48ICwsjIyMDHFdbt682eH2GhoaiIqKIjg4mIiICAoKClBVVSU/Px9zc3O++uorqaxzdXU1Z8+eJS8vj4KCAmJiYrCzs0NDQwNTU1N+/PFHzp49K/XIUPhrnxQXF5OXl0d2djYRERE4OjoyYsSIVsdWW1uLr68vV69eJSgoiIKCAnbu3Mn06dPbdaA2NjaSlpZGcHAwt2/fpqCgoF3GXWmhrq6O5ORk/P39KSwsZP369VJ1hFRWVpKVlcWmTZuwsrKiW7du5ObmUldXR2JiIh999BFz5syhoaGBsrIycnJy0NbW5ssvv0RGRoa6ujoMDAywtrbG0tJSzFoS+nj+/Hni4+OZMWMGv/zyCwcOHCAyMpIdO3Zw7NixLvU7Li6OgIAA7t+/z/379/Hw8MDW1lYq8yMYWcLDw/Hy8mLmzJmYm5tz9uxZdu3aRffu3UXahRe105w2rqSkhNzcXDGKJT09nfXr17d4V1JSUoiJiSE2Npbs7Gzq6urQ1NQkKCiIOXPmtFteSRPCnCYlJXH27FlKS0vFbJk333yTtLQ0Hj9+TEJCAoqKily+fPlvddg1h7u7O1FRUfTs2ZPw8HBCQ0NZvHgxn3/+OQ0NDSJ1cEfR1NRETU0NT548ITc3l/j4ePz8/LC1tWXp0qXiHuoKamtrSU5OJjo6ml69emFpaYmGhka7KO2eRlFREXfv3sXPz4/o6GgSEhL44YcfcHZ27vR+Es7jQ4cOoaqqyrx581r0/fHjx1hZWXWo/czMTHH/5+TkEBsby8KFC0U59KJ2cnNzWb16NSdPnmTOnDmcO3cO+EsZPXbsWIfOpaKiIoqLi0lPTycqKoq8vDwaGhrw8fHh8OHDoqGqvairq8PLywtPT09kZGSYOnUqzs7OHWqjo3j06BEHDhzg4MGDFBQUsGLFCjw8PETK17lz53Lq1KnnRt8Ka1xUVMTVq1c5evQolZWVjBgxgiVLlmBhYUFDQwNVVVVtZt3t3bsXFRUVzpw5w6FDh9DT02PevHls27YNS0vLdut25eXl7N+/n99++028fI8bN47Ro0cjIyPDyJEjCQgIkCr954tw+vRpQkND6datGyUlJfTp0wdDQ0Osra3R19cXjU1ZWVk8ePCgRQ1XOTk5CgsLOXfuXLvnoKKigpKSEjIzM8VsrvT0dGRlZXnw4AGenp6YmJi8sD2Bgqe5cwy6fiGrrq4mPz+f3NxcMjMzSUtLIzMzk5qaGm7evMnevXsZM2aMVM6I9PR0rl27xo0bN4iKikJVVZWKigrmzJnDli1bunxWJicnExwczKVLl7CwsGDz5s3t6nd5eTkKCgodCvjpDIKCgkRqTuHC31U0NDQQGRlJSEgIERERFBUVUVlZSY8ePTh+/Pjfcrb7+Phw+vRp7t27x5QpU5g6dSpqampYWFiwdu1ahg8fzsKFC1v925SUFHR0dOjRowe5ubl4eXnxr3/9S+p9TElJ4euvv8bFxUX8LDU1lZiYGCZPntxizoQ5vHDhAn5+fnz44YecPHmS4cOHo6amxk8//cSJEyfaLRME3VJPT4+ffvoJTU1NKioqiIyM5Pjx41IdZ2RkJCUlJfz000+sX79eNN7CX3X8LC0tReaIlwVhXjw9PXF3dwf+YtmpqKhg4MCBTJs2DWdn5xYOSIHCuqP17AQZ4unpyc2bN0lISMDa2prvvvuO8PBw5OTkpBJE8DScnJyoqqpi1apVzJkz55l+C7Uer169ir+/P8XFxcjJyWFqasrZs2ef+55euHCBmzdv8t1339GzZ08eP37MlStX6NmzJ3PmzPlbnSNPIzIyEh8fH4KCgoiIiMDMzAwVFRW2b9/OkydPuHfvnmgvOXTokFQdsML8HTlyhGPHjmFvb8/cuXNFhiWhDm9rqK2tpby8nPz8fBITE4mKiuL+/fu4urqKTupXgeb626NHj6iqqhLZXaRVx7IruHbtGo2Njbz22mut3pk6up6FhYV8+eWXyMvL07dvX8LCwtDW1uabb7555rdNTU1ERUUREhJCeHg4mZmZHD9+vFP3q86gsbGxxTlbWFhIQkICv//+O926dePzzz/n9OnTuLi4kJ+fz+LFi1mzZg3u7u5S0SsiIiI4cuQI33zzDUuXLsXd3Z3i4mLeffddLl682KG2BBl56NAhxo0b1ykGm23btmFnZ8f48eOfCWb77LPPMDMzY9myZVKxfzS/Z2ZmZlJbW0tdXR2pqakdHvs/GaWlpezYsQNPT0/mzp3LmjVr6N69e6dlZGNjIzU1NeL9Iy4ujujoaB4+fIiWlhbHjh3r0PpUV1dz7949fHx8CA0NpbKyEolEgrKyMmfOnOmwrpmeni7esTIyMsjLy8PExIQ9e/ZI1W5WWlrKmjVrcHV15Y033uDs2bMAzJ49m8OHD7dZ//vJkyciK0pycjLJycns3r37pdjMBfxPOMOa16F5eqG6eulo7SCprKzk8ePHREREMHjwYPr379/l5wi0BK0VeBTqkvTu3bvdm7G8vJyMjAySk5PJzc3tdCTE8w5SoX0DAwOUlZWf+7unU2CbIzMz87m8vy/qkzBXzVFbW0tERATFxcVMnDixQ2vSWv/LysoICwsjKCiIiRMnYmdnJ9VLbE1NDdnZ2SINZ15eHpmZmVRWVnL48GGpKqXPa6u6uhp5eflnLpmNjY1i/ZrmKC4uRllZudOGMiGd92VGPP4dePLkCd27dycvL4+cnByKioro1asXdnZ2rUa4FBQUkJ6eLjp0oqOjsbe3Z+nSpS0Mart27cLBwYGkpCSx7tWhQ4coLCxk06ZNUjucioqKRJo6aUB4TzZs2ICFhQVLliyhrq6Obt26cebMGdTV1ZkwYcIL36fAwECuXLnCe++9J1L1NUdeXl6btYIEh0J0dDSxsbEsW7YMXV3dv23/7du3j9zcXGbOnImVlRWffvopo0aN4vXXX6eqqkqk6LKxsXnlDrvnISYmBnd3d7S1tZk9ezZycnIoKirSq1cvqcrDxsZGKisrW9ADdxbC3F28eJHDhw/Tp08f1NTUqKmpQVZWloEDBzJ//vx29el553JGRgba2tpSufjt2rULNTW1Vs/p9uzV552zDQ0NpKSkoKenJ9ZLfBHKysr4/fffxTN+//79+Pr6cujQIdzc3Nr97jQ2NlJaWkpCQgLGxsbo6Ojw5MkToqOjyc/P71D2w9PPFBT24OBgsUaCtKP3BezZs4dLly7x008/cefOHfLz88WaXWFhYfzyyy+4uLi8kFLP1dWV8PBwMfr/2LFj1NbW8t133z1DFdUcwthzc3PZs2cPkZGRzJw5k1u3bmFqair2paPw8vLC398fiUQiBqpYWVkxaNAg/vOf/7xyg312djY7duwgPT1dNAQnJiZiaGjIhg0bWs3+i4uLIygoCA0NDaZPn94pmVlfX09lZaVYNyU5OVmMbP2noLS0lIKCArKzs0lLS2PevHldPhueDjQRIASwzJgxo8OOeAF5eXlcu3YNDQ0NJkyY0KoRuq06UM2/exl6cEJCAgcOHEBJSYl+/foxbty4FnVzO4vnyeGysjIePnyIkpISgwcPFp3fjx8/xs7OTqyRV1NT06Ys6CqSkpL4+eefUVNTIzU1lcbGRvT09MjIyOD777/HyMhIvE/LysoSEBDAtWvXiIiIYMmSJTg7O5Obm9uCdk0aEGTN/fv3+f3335k/fz62trbt0knj4uI4cuQIeXl52NnZsWrVKvH/N2zY0O79e/fuXaytrenVqxd+fn4cOXIEe3t7xo8fL2b9SAP19fX4+Phw5coVbt68yZtvvomenh69e/fG0tKSTz75hJ9//rlTtVg7g4ULF/L999+L+9/V1RUfHx8qKip4++23RUrDrkBY308++YQPPvhADLZ47733+Pbbb1FUVGT16tVS18sDAgLw8/Pj+vXrZGdnY2xszJgxY/jss89avd+WlpZy48YNNDU1GTt27HMDsj777DOGDx/O66+/TlxcHHv37iUlJQWJRIKOjo7IMPN34Hn2sKamJurq6jh+/DhWVlbPZL4J97OXcTeKiooiLCyM8PBwMjIyUFZWplevXmK9zfaMqaamhsrKylc+r8Le3bRpE/X19dy4cQNra2uqq6tF58LT1Nb/6ygvL+fChQukpKQwcuRIhg0bJjJAwf8F/Tx9ztXU1HTYUd4ZPC8Is7y8nMePHzNw4EDCw8P57bffUFZWJj8/nz179hAbG8vu3btxdXWVin775MkT9u/fz4MHD+jbty8//PADbm5uBAcHs3v37k7pTlOnTuXYsWNoa2uL7+KVK1dwcnJqM1uqvr6erVu3cv/+fTIyMtDX12f06NFMnjyZkSNHMnv2bH788UdMTU279I639rcNDQ0kJSURERGBsrIykyZNavfYi4qKKC8vl4r+JQ0UFRWJ9OGRkZEUFhaioqIi3ttOnDjRLrrK9kLQBfPy8lBQUMDAwKDdiQbw7DuYl5eHn58fGhoajBs3rl1BxU/TIjdHdHQ0CgoKmJqaSvVOWF1djbu7Ozdu3EBWVpbdu3fz4MEDfv/9d06dOvXMPmurj9K2X7aG/xln2NOXp+cJ6648ozUHzMvC0xGn7YG0olKbo/nml0b7gpNFmpFHAqSxNsK8t2b8lBaedxCVlZWRmpqKgoICZmZmL9UY1ZHDUHCOdaYo9f9PDq+nIczJzZs38ff3b0F1KaD5HAi/37dvH2+99ZYovMvLy8Uo6KdpiYSIh5CQEDZv3oy5uTlff/01S5YsYfTo0f+Y7KHnwcPDg5CQED7++GOx6O77778v0k28aI8UFRXh5ubGkydPcHZ2FmkInkZzxUuQ1dKUM9JCWVlZi+LP8fHxbN26lZ07d4qc7P9EFBYWsn//fgICAtDT02Ps2LGYmJiQk5NDYmIi48aNw97evkOGvLYCJboK4b1Yu3YtM2bMYPz48cTGxpKWlkZsbCw2NjaMHz++w+9PWwpZZ1FSUsKECROoqKjAzMyMCRMmMHny5C5FSnflnC0qKiI0NJT9+/eLRlE9PT0mT57MjBkz2nXJKSws5LvvviMmJgZdXV2qq6sxMDDggw8+6JLTatasWfTu3Zu+ffty9+5dCgsLKS4u5ueff243fWNH4e3tTVBQEJWVlTx69AgVFRUmTpzIkCFDuHjxItra2nz44YfPnRdhjy1atIjVq1e3uEitWLGC6dOnM3369FZlofCZUFslLi6OGzduUFVVxcCBA3F0dGwzGKk1CP18+pJUUlJCXFwcpqamaGpqvrLzW5ifqKgodu/ezaFDh6iqqiI5ORlXV1e6d+8uRiW/DN3+abxof0dHR3P37l1u376NmpoaEyZMYOLEiS3kujTwPH1b2usiGE+bmpqkkg2Yl5fHN998Q01NDVFRUfj5+ZGamkpeXp5IAdMevCzdpqmpiZkzZ+Ls7Ex9fT2pqancuXOHXbt2tYtOqiPPEcbw9KVeRkaG06dP4+/vzy+//EJISAjnzp3D1taWBQsWSK0PApKSkigvL8fMzIyKigrx/Y6JiSExMREbG5sWNK/CHluwYAHr1q3j66+/Fh0A3377LTNmzHgpNa0OHjzItWvX0NTUxMbGBl1dXTQ1NbG3t28z6vfmzZtUVVWJQZCrV69m2bJlDB06tM191NTURHV1NbW1tbzzzjtcunSpxffx8fEvrcasn58fnp6eWFlZkZiYSFVVFZWVlZSWlnaZzaa9iI+PZ926dfz555/iZ0+ePGH79u28/fbbfPnll7i5uYkG7uc50NuLRYsW8csvv/DJJ5+wceNGLC0tWb58OUuWLGH48OEv9cwpLy/n2rVrxMTEtAj26Mz91tnZmSNHjqChocH27dspKSnhs88+Q1VVleXLl7N8+XKGDh36t9yBnz43BDkkOA+cnZ0xMDBg48aN7aJ2lhYqKipQUlKitLSUiIgIAgMD+eijj1qlPn3V9rYXobKykvnz53Pp0iXmzJnDt99+y/nz5wkJCeHQoUNoaGj83V2UChITE7l06RIFBQV8/fXXLb4T9vLT97a/+779vHMW/srgTE5OZuLEidjY2LB9+3aUlJRYuXKl1IJN4+LicHFxoaqqitjYWIYOHcrixYuxsLBotw4jzF9ERATfffcdJ06cEL8rLi5mwYIFXLt2rd19EhgEvLy8uH//vki/Hhsb2/EBttHnzq67MPdCoI2Liwuff/45ixcvJj09HV1d3ZfOCNAabt26hbu7OxUVFSQnJ2Nra0tTUxMFBQWoqKhQUFBAfn4+qqqqWFpaMmvWLCZMmNDh50hbt20raLejeBV3LAFFRUUcOnSI5ORkamtrUVBQ4P3332fQoEEvnKNXfUb8T9QME6LqhE0gDaHcvL3mykTz74VnvQw0j3por0LV2qW5tc87gub8s9LYeK3RXEirPWm02VpmobSNn8/bR8rKyi2KBr6Ml7y9tGbCnhPWvKN9+ac5wl5Gf4S1u3Pnjmi4FjLfzp07h5KSElOmTBF/LyMjQ0FBAd7e3ixbtkzsk7y8POnp6c/U0CkuLkZWVpbZs2dTV1eHr68ve/fu5d133+10TamnnXMvW4F1cnLi+vXrbNmyBUVFRcrKylBSUmLMmDHAi2WTuro6K1as4OjRo/znP/9BIpEwfPhwBg4cSGVlJQ8ePGD06NEiNY7QZmvBEX/3xaqhoYHk5GTc3d157bXXRCqEBQsWiMXo/4loampCQ0ODLVu2kJKSIha4v3fvHvb29mhra6OmpvZCR5iw94TowZe5Hs3bFurJWVhYYGFhweTJk6mvr3/md+1tV5rxQY2NjaiqqvLgwQMKCwvx8vLC29ubAwcOMGDAAP744492t9W8iG5Xztn169fj6uoq8sI3NDSI9TOhfQE627Zto2/fvsyePRslJSVycnK4e/cu69at4/vvv2+p82JwAAAgAElEQVSzbtDzUFtbi729PbGxsYwePZoTJ05QWFhIaWnpS43MnTBhAg4ODuTn5zN16lRSU1NJS0vDzc2N27dv89tvvwHPl2XC3JuZmZGent7CGVZUVNSuudi8eTNLlizB2tr6md93dH1lZWVpbGzEwcEBY2NjnJycmDJlSoto8bbG87IQHBwsOpTk5eWxsrLirbfeEukzhHE2l+XNs1ikhbbaOnv2LF5eXvTo0YN58+YRHR3NiRMnCA4OZvPmza0a9jqL582/tNfl6QyJzuq8wvr4+fmhr6/Pm2++yQ8//AD8RWd+7Nix51I7l5eXU1hYiIGBgeiQe1nnQ0REBBoaGrz//vviZzdu3ODs2bNSdYYJevbTwVDC+eHv78+CBQvIycnh/PnzVFVVcfv2bXR0dNpdT7W9uHLlCkeOHMHExARLS0vs7e1xcHB4bo07iURCWVkZEomEwYMHIysrK9ZACgwMlErNldawfPlyZsyYQXh4uEiLVlJSgqWlZYvfCbpEVlYWAQEBvPnmmy2+X7p0abtqb+Tn53P9+nXCwsJEZoempia0tbXFAKCff/5ZqmO8ffs29fX1GBsbs27dOjQ0NCgtLSUtLQ1ZWVkxaOxV3KH09PQwNDRk/fr1vP322/Tv35/bt2+L9UgEZ6HgDOuKs7ypqYlZs2bx+++/U1FRgaWlJYGBgRQUFIhrJY3xCvMWHR3NH3/8QWFhIStWrKB///688cYb4m+EffH0/fZFRvKqqirs7Oy4efMmdnZ2Yta4cHYVFBSI+sjfcQdu7ZnCeKqqqpgyZQr+/v7MmzePXr16YWtry6RJk5g6dapU+yHIu7i4OG7fvk1ISIhIDT106FDxDvu8MTxt1/s70Dxj1dzcnPT0dBQUFLCwsOD9998nLy/v/xtHWElJCVu2bGHKlClcunSJmpoacnJyCA4OZubMma3eLf4JjrCGhoZW5VJtbS0TJkxATk6OHj16UF5eTu/evcXaRF3VLxoaGqirq6N///588sknZGVloaOjg4aGhkh33t5nCHOnoKCAiooKgYGBODg4IC8vT2RkpFjfui1d/8KFCwAMGjQIY2Njpk2bxrRp0wBEum2h39LQl5vb26FjdhbhN8eOHWPDhg3Ex8eLbBCurq7MnDlTapTVHYGBgQGTJk3CycmJ7t27s2rVKubNm8e0adNISEjAwMCA+vp6IiMjuXr1KrGxsUyYMKHDcypt3bY1RpjOrnHzwAl4uXqIqqoqGzduJD4+nh49eqCtrS3qGq3NUVVVlZgd+aplzj/aGZaTk4Obmxu3bt3C0dGRd999V2qplhKJhNDQUExNTVFWVpbKZbEjkMbL0tWN4u7uTv/+/bG3t39mrNIQqJ2tMyORSIiJiSEyMvKZS1BX5q05L7402nsRmmehCXhZgkegQGjvmkkkkhbG1Y6ioaGBrKws9PX1X2ntEQE1NTU0Nja2EJzShjCXycnJomFFWMs7d+4we/ZsoGUGzN27dzEzM0NBQUFck5iYGPbu3StGgwp74OTJk2RnZ/PVV1+hr69PcXGxGH3YWTRf11fhHNLU1MTFxYWgoCBycnKoqKhg0qRJz/BZtwU5OTmWLl3KW2+9xe3bt7l9+zZ//vknAwYMwN7eXuSfb75fmztzpW0s7SgEWXny5EnS0tJISEigqamJcePGcefOHWxsbF4Zx3pnIEQDysjI0KdPHz766CM++ugjgA7JCIlEwv3797l16xbp6ekMGzaMBQsWvLSx5+bmUlhYyJo1a3jjjTcwNTXF1NQUIyOjDskkIQVf2pc+YV9cv36dvn37YmZmxttvv83bb78t9r/5716EP/74gxkzZjxT1L4jkYlpaWmiMqqnpyc6EjuC9PR0kpOT2bNnT4vPR48ezaZNmwgNDe2UM0xeXp4vv/wSf39/jhw5wv3791m2bFmn2uoIJBIJampqqKmpYW5ujqOjI8XFxeTm5jJ16lQxQ+JFUWyTJ09m/fr13LlzB3V1dWRkZESaNuE5rT27tLSUpKQksbYY/HWeHzp0iOXLl3eq0LSMjAxeXl7cvn0bLy8vscbC6NGjpW78bU9fAIYNG8a9e/f4448/cHJyIicnh99//x1HR0egdWqe1qiu2oOamhrq6uqeqdH2IsfiiRMn2Lx5s3hRnzVrFllZWaxbt45Dhw6xZs2aDvfleSgpKWlx1r8M3VCQLR2VF61B+PuQkBDefPNNvL29RSN3cnKy6HRpLs+Ef586dYrq6mpWrlxJXFwc169fx8TEhOnTp3d1iCKEZxUXF2Nra0txcbEYQNPY2EhhYeEz/esqmq+X8G+h7crKSlRVVTl27BgWFhYsWrSIf//73y+FJvHjjz/mgw8+IDg4GB8fH9zc3Pjll1/Q09PDxMSEVatWPROQk5mZyYABA/D398fY2BhFRUWSk5NRUFBAX19fan0T9l52djZ+fn44ODgwevRoXnvtNaqqqkhJSXmGIlXQ6Tw9PcV1u3btGl988QVjxoxhx44d7Xq2oqIiurq6nD17loqKCrZu3YqGhgYDBgwgJiaGmpoaqY1TgJ+fH3l5eSgrK6Ouro6RkREmJib06dMHJSUl0aH+Kgw9ysrKrFq1Cjc3N1xdXXnw4AEDBw5k5cqV3Lp1i4aGBhISEhg8eDCBgYHExcUxY8aMNut5PA8SiYRhw4Zx8+ZNoqOjmTRpEv379+edd95BTk5OatHywrx9+eWXLFiwgO+//57PP/+ciooKjhw5wsKFC59h4BDQHrtOjx49mD59Ol9++SXwF63Z0KFDgb/oABUUFFroi68Sd+7coVu3bhgbG6OlpfVMbZsePXqwcuVKVq5cSXl5OSEhIVy7do27d+8ydepUqWYsCOe1q6sr1tbWVFZWilTdJ0+exMzMrEWtPAFZWVlcvnyZ999//28PqBXmQlVVlTfeeIPS0lLU1NQICQnB19dXvEf80xla2oKwT319fRkwYACOjo74+fmhoKBAZWUlFy5cYO7cuYSHh3Po0CEGDx6MnZ0dFhYW9OjR429dI4lE0uIuJ6xDWloa586dw8XFhXHjxrF3714aGhqYP3/+M06cjkJ4hre3N1euXGHPnj0oKSlRXFyMoqIivXv37vR4zM3NsbW1xc3Njfj4eEJCQqirq2PGjBkv/Nv//Oc/Yr1DeXl5zMzMcHR0ZNiwYejo6KCjoyN1W8jTCSMdcf4VFxdTU1ODnZ0d+fn5YpBgSEiIaF941ejfv3+L+2RlZSXDhg2jqamJ3bt389lnn2FkZMSIESNaBE61Z06F9ywhIQFdXV0xeKIz54TwN+Xl5fTs2fOZue/KGj/9t9JmoZBIJJSUlHDjxg18fX1RVFRk2LBh2Nratkqx+uTJE86fP09QUBADBgxg7ty5f0utRtkvhRP/H4ivv/4aiUTCpEmTCAwM5OHDh4wfP15q6ZWff/45J0+exNfXl6KiIgC0tbU7lSnTHggbxc3NDRUVFfEi3J7N2NTUREREBGFhYQBd5s+sqakR+TxPnTpFYGAghYWFKCoqioacF0Ew3LTW/x07djB06NBOvbQSiUQsDGhvb09dXV2XXv76+npkZGRYt24d06ZNa7F/njx5goKCgtQEwtNGh+aRow0NDVLNYBGeVVpayuHDh1m7di3nzp0jIyMDJSWlZwydzQVscHAwLi4uPH78mMGDB1NZWfnC90qIKBCcFadOncLY2Bh9fX0KCwu7VHTyRRCeffr0abZt20ZgYCDZ2dmUlZVRVVXVpTpnbaGuro7MzEz8/f1xcHBATk6OJ0+e4OLiwurVq5GXl2+hfMXFxYlzqqSkhEQiETlzx4wZQ0NDg7gn7t69S//+/bG0tERDQwMDA4NOGUqEuSkuLsbb2xsvLy9u3rxJUVERffr0kfq8CPsoNzcXDw8PkpKSsLOzw8HBARsbmw5HzwsRR/Ly8pibm4t0bfb29tja2qKnp0deXh5ubm4YGBigoqKCRCIR5cI/4ZIikUj49ddfee+996ioqMDU1JSKigpcXV1JSEjA0dEROTm5v/3y1xy5ubkkJiZSXl4uzj/8n3NXMES3V5krKytj9erV6OnpYW5ujre3NwYGBi+NK7y8vBxlZWWMjIzIysoiPj4ef39/SkpKWmTgtgZhTOnp6Rw5coThw4cjIyPDnTt3qK+vlwo/tbAvV6xYwa+//srRo0cJCgqioaEBQ0ND8Rlt7d+6ujpyc3NF55MQsS+sR0BAAAYGBu3OBA4ODubixYtUV1ejo6PTqULlN27cQE5OjnHjxlFVVSVmQygoKKChocHZs2dxdnZud3vNL+tC22PGjCEyMlLkwBey1l4WhAAoYc8rKSmho6Pzwufm5eWJct7Q0JDZs2dTXV1NRUUF3bt3Z8OGDfTo0aNNisR79+6Rnp7OjBkzaGxsRE5OjoyMDI4cOdIlSjVlZWVsbGyYPXs2c+fOJS8vj969ezNs2DBRJ3rZaE5RpaWlJQaBXLx4kfDwcAwNDVm4cCGKioo0NjZy/vx5YmJi6NevX5d0Pn9/f86fP8+oUaOora0V22pLjhUWFnLy5Ek2bNjQ4nNlZWXGjh3LsWPHGD16dLtr87UGYc2joqI4e/ZsC+owiUQi6gfSQFNTE59//jkTJ06UShS+8LdKSkp4e3vj6enJihUrUFdX5+eff+bNN98Us16edhIdPHiQWbNmoaKiwjfffENpaSk5OTmYmJiIDquuQpi3DRs24OnpSWBgIPBX3b+UlBTee+890cjflXkQ9K0rV64gJyfXImNdgGAoXr16NXV1dWzYsIHy8nKOHj3K2rVrpfruNZdbxsbGjB49mvnz5+Ps7IyamhqxsbFMmjSphSGiqakJLS0tEhIS+Oabb5CXl0dVVZWjR48yaNAghg0bJrW9KPTPx8eHH374AX9/f5KSkoiKiqK2thZTU9NWHf4SiYT9+/ezbNkyKioqOHPmDEuXLiUpKYmePXuKe60tyMvLY2Jigrm5OYsWLcLa2pqKigoePnyIsbExixcvlnotijFjxmBpaYmqqiqFhYXExsby6NEjHj58SGxsLA4ODq80eEtTUxMnJydsbGx4++23mThxIr179yYjIwMfHx82btxIVFQUu3btIjMzk7KyMuzt7dv9jly5coW6ujoUFRXR0tJixowZLF68GBsbG6ZMmSI6RKSZFRYREUFMTAzr1q3jxo0bvPfee5SXl/P999+zdOlSJBIJnp6e9OzZE2VlZUpLS5GVlW33vBsZGTF//nzmzJnD2LFjkZWVpaSkhBMnTtC7d2+GDx/+yh0kTU1N7N27l+joaJH+NCcnh8rKSiQSCd27dxd12OLiYvT09DA1NWXixIliJqo07x/C2A8cOMC3336Ll5cXb7zxBpqammzfvp2hQ4eKNQqbPzc3N5dTp06RlJSEiYkJPXv2lOq51xEI+puuri5GRkZoa2uTlJQk2p/mzJmDsbHx/7Qz7MaNGxgZGXHnzh0GDBhAXFwcmpqaDBkyhMuXLyMvL8/YsWPJy8ujqqqKrKwszp8/j4+PDw8ePKCkpAQZGRnU1NRe+v1V2CvFxcXcvn2bjRs30q1bNzFzWFgHFxcXsWZSTU0NY8eOxd3dnaCgoA5RNbcG4RlHjhxhxIgRmJqasnPnTn777Tfi4uIwNzfvEtPLkCFDaGpqIiUlhb59+zJz5kxGjhzZJgVeU1MTmpqaKCgoiLTdpaWl3Lp1iz/++IM///yTadOmdTnwVJj/hoYG7t+/T3p6OmpqaiLTS0fWPy8vj7y8PHJzc8nKymL27NkkJSXh6+vLu++++7cEEzS3bURHR+Pt7c17771HSUkJ7u7uYtB784zI9kL4/bZt2zA1NUVHR4fa2lrk5OTIyspCUVGx3TJEaGvjxo30798fNTU18c72NItde5GYmMiuXbu4dOkSI0aMaGG7lBaEd8fd3Z3Lly8zZ84cunfvzoMHD3B3dycyMvIZ2slDhw4RFRVF3759uXfvHt7e3mLm3qvEPzozLCkpiT179qCrq8ubb77Jv/71L1JSUrC0tOzyi9TQ0MD3339PQkICHh4e/P7772hra9PQ0ICFhQW2trbPZCV1BgI9Qt++fVFSUqKhoYHc3Fxu3brFjBkzOHjwIJ999tlzhZgQxfjbb7+RmpqKh4cHW7duxdTUlLCwMExNTZ+Jfm0PFBQU+OKLLygpKSE1NZXw8HDu37/Pn3/+SX19PUOGDGHjxo1tttFa8VZ5eXlCQkK4f/9+l4q1Kisri4JDcNJ0RiERClsnJydTUFCAnJxci1RMFxcXPv300w7373kQxrtixQpKSkpwcnJi1KhRWFhYSP0CJDzrwoULPHr0CHd3d0JDQ/Hy8mLhwoVYWFhw/vx58fdC1MjZs2dJSEigsLBQdFwEBQXRs2fPNhUJYe7379/PkiVLuHz5sujBd3NzY8GCBS/Noy8jI0NNTQ2HDx/mP//5DxkZGURFRXH37l2qqqrYv3//SxGe3bp1Y/78+fz3v/9l06ZN6OrqkpqaytSpU+nZs+cz2SRTp04lMDCQAwcOMH78eO7fv09oaCgrV64EWqb+ZmVl4enpSXl5OVZWVujr66OpqdlphcbFxYW4uDj69u1L79698fLyoqSkROqKh9DOmjVr0NPTIzY2li1btqChoYG5uTk//PBDhwwMzeekeS3F5vLDy8uLjIwMse7WnTt3+O6773jy5AkfffQR//rXv6Qyts5AeC+Ki4uxsLBg27ZtpKWlcfLkSYqLi+nevTs///wzq1at6pTzQZoQZGh4eDgnT57k9u3byMvLo6enh4WFBU5OTs/UZmrvvgkMDMTa2lqs16CgoMClS5fapEvpLJqamtDV1WXChAn07NmToqIikpKSiIuLE+kY2jovBFl47do1MVr4xIkTnDp1ClVVVb799tsuFbgX9m1GRgbOzs6YmJigq6vLxYsX2bp1K1u3bmXq1Kl88803bRakLigoEJ3bcnJy3L17lx49emBubk5aWhru7u7tml9hHuTk5Bg0aBABAQE8evSIXr16oampyYIFC9o93qtXr4o0qE8bMePj4zscVS7sr4cPHyIjI4OnpydVVVX06dOHcePGvZJae63tk/bIzOXLl5Ofn8/gwYMZM2YMTk5OvPXWW8/87nlZYfBXVHJ1dTX+/v4ixYufn59IndKRTBahzwUFBS3WQUtLC01NTZEm8VUZYyMjI6mpqcHCwoLk5GRee+01pk+fTmpqKvX19S3qy3366acYGRnh6urK6NGjgb/o94YMGdLuM/HBgwckJCTg7e0t0kIJf3vu3Dm6d+8uUss8jfT0dPT09KiqqqJ79+40NjbS0NCAvLy8mFnUmYyJ5mi+DxITE8nPzxcNK9euXaOwsJCFCxd26RkCCgoKqKmpISQkhMGDB4sRm7/++iubNm3qdLsDBw4kMDAQVVVVtm7dSmFhITNnzhSzJ5q/S4KjPCMjAxMTE3bt2sXQoUNZuHAhixYtora2FpBuVpyHhwfx8fFioJ+QqZ2RkcGkSZOYPHlyh9usra0lISGBfv36ifI6LCyM1NRUVqxYwY4dO1i+fLnoGKurq2PWrFnMnDlTjO4NDAzE3Nz8pb17165dY+/evUycOFGM7hfqFT4NYa4XLVqEqakpf/zxB66urixbtkzM1JSW8Vd4lp+fH2vWrEFFRYXMzExOnTqFv78/Ojo6LFmyRKRpFJ4tUPgFBwdz69YtZs6cyaRJkzh27JioR7Vn3zQ2NmJra4ucnBx6enpipu/LMMYJOoe2tjaqqqpMmjSJuro6kpOTCQ0NpaSkBHl5+ZdqCBT6kJuby9mzZ7ly5QpDhw4V62B269YNiUSCqqoqBgYGFBUVceXKFaZOnYqTkxMffvhhC4rRtlBbW4ubmxt5eXmoqKhgaWnJ0KFDRYfqy0JsbCxDhgzhxo0b4npGRETQp08f0Zj+66+/cunSJYqKivjhhx/Iysriiy++aHdgjby8fItzR0FBgfnz54usF6/aOSKRSNiyZQsJCQlERUWRkpJCTEwMsrKyqKmpoaenR0JCAjIyf9W5VlJSwtLSEktLS95///2XwtCQm5tL7969iYiIoLS0VMy6KCsrey41pomJCStXruTIkSMcPnyYf//731ILiOgI8vLy2L59O4aGhhgZGWFmZkbv3r1ZuXIlr732Gr179xZtT38n80hX4eLigqOjI6NGjeLcuXMEBASwadMmMXhQYKqwtrbGxsaGr776CgMDAwwNDenevTtHjx6lvr6ejRs3vpS7XHMI97K9e/eiq6uLiooKWVlZAJw6dQpTU1OGDBnCo0eP2L17Nz/++KN4X01MTMTa2lpsp7Pvp7DWCQkJfPrpp1y6dAlVVVUCAgJYs2YN+fn5QPvPD+F3dXV13L17F19fX+bPn9+ubDABEomE+fPn0717d44fP46xsTHvv/8+S5YsIT4+npycnOcG3XUEwt9+8sknyMrK8uTJE0pLS9HX18fU1JTly5e3297cu3dvrKysOHz4MFZWVuzcuZPk5GScnJyA/1vrV4nmeyI0NJT6+nq8vb25d++eqIc/rz5de9seMWIEnp6eIiPQvXv3cHV1ZceOHe2Wc0JbVlZW/Pnnn6xatQo5OTkaGhpYu3ataG9rLwoKCtiyZQuzZ89m9+7dKCsrk5iYSFBQEPPmzZNagpHQ78zMTD7++GNGjhxJeXk5tbW15OXltQi4Fn776NEjNmzYIDq8V61aRUxMzEuvMfo0/rHOsJSUFEpLS1FXVxejRkpLS8Vit12dIEFhvXr1Knp6evzrX/9CS0uLq1ev8scff4hOgq5GhJw+fZrq6mpxoWVlZZk5c6ZIXTB58uQ2lWNBWHh6euLm5kZxcbGocPz0008sWbKk04XllZWVxcj6UaNGUVpaSn5+PtHR0S2M060JrG3bttHY2Mi4ceNwcHBARUVF3Og+Pj7Y29sDHRd4EomEiooKsaB6QEAAr7/+OiNHjuxUvYaamhri4uJwc3MDYPv27RgYGGBjY8OjR48ICgpCIpFILfJHaMPCwgIfHx/8/f05fvw4srKyDBkyhOnTpzN69GipvOBCG3V1dbzzzjv06dOHPn368PrrrwOIRTWFNRR+f+vWLX788Uf27duHjY0NANevX8fKykqMWnleFHtcXBzq6uq89tprHD58GCMjI8rLy/H09BQdPtKG8OzY2FhsbGwYN26c+F1tbS3R0dFdNlK1BW1tbXbv3o2XlxfZ2dnMnTsXCwsL8fvy8nJqamrQ0NBAXl6eDz/8kOPHj3Pw4EHMzc1ZtWqVSLsk7I/y8nL69++Puro6Dx8+JCwsjF69etGnTx8WL17cof7V19cjLy+Pv78/7u7u9OzZk6qqKiwsLNi1axcjR44UHQTSglAQfOfOneJngYGBeHl5ddjh09xw+7wUboHXHP6SL66urrz++usYGhpy5coVxo4dS58+fbowoq6hoaGBadOmsXz5crKzs5FIJOzcuZN169bx/vvvs3//fi5evMiiRYv+tj7C/0WsX7hwAUdHRxwcHLh+/Tpqamp4eXnRq1cvxo4d2yl5eOPGDdE5IiMjQ48ePcR1ra2tFY0w0hrHuXPn8PX1JT8/nxMnTtCrV68Wdfna6r/Qj5CQEN5++20ePnxIfHw83377LVeuXOH27dssWrSo08qYcO55eHhQXV0tGuAHDRrEgAEDKCsrIz09HW9v7zapwtTV1Rk2bBh3796lW7duYnCDtrY2sbGxHXaYjBo1ihEjRpCXl0dycjLJyclERUV1aK27d+/Od999x4EDBxg8eDBTpkxhxIgRqKurEx0d3amCw7m5uWhpaYkXc0CsPfeyUV9fT2ho6DM1Hduz7m5ubsTExODn58fp06fZuXMn6urqDBo0iLFjxzJx4sQXtmFnZ8eoUaM4dOgQ9+7dIysri8rKSj744IN296N5nysqKhg1ahTq6uoMHTqUqVOnoqenx/nz55k3b16H2+wK8vLyMDExISAggAsXLmBiYoKRkRHm5uZoaGiI1Erh4eHU1dXx1ltvERoaira2Njk5Obi6unbIANOjRw8eP35MQEAA+fn5+Pn5MXDgQCZPnsy1a9fE/fW0fGtqamLAgAEYGxtz4MAB1qxZ0yKTwMfHp0v0OAIE2llra2uMjIwICAhg+PDh7Nu3j6ysLDEATxr6qJaWFvb29nh7e2Nqasr169e5fPmyOJ+dfUaPHj349NNPCQoKErOd26r/0NDQwJQpU1i1ahU9evRgzZo11NbWUlNTI95lpLkf6+rqMDc3x9zcnH//+98A3Lt3j4sXL7J79+5O1c65c+cOwcHBrF27Vvzsww8/5NNPP8XDw4MxY8agpqYmzum+ffuYOHEiNjY2lJaWijVC/vvf/0ptnAKEuRs6dCjz58/nwYMHeHp6UlZWRt++fVm7du0z69PY2CjeDwYNGtRCp366XWn0r6ysjMjISLZv3y5+vmDBAtasWYOOjg4eHh6YmZm1yLqUSCSsXr2as2fPoq+vz6xZs8jPz6ewsFA0erbVx+Y1jU6fPs2VK1ewsbHBxMQEe3t7rK2tpa4zCv3x8PAgKioKMzMzjI2Nsba2ZtasWeJ59jLlr6Dj7du3j+rqaj744AP8/PzYtGkTeXl5vPvuu2zcuBFVVVUMDQ357LPP0NLSYsOGDXh5eYk2lvboFPLy8pw8eZK6ujru37+Pj48Px48f55dffkFdXZ1Ro0bxySefSG1swrzNmDGDbdu2ceDAAZYsWUJ2djZnzpwRg0kCAwMZMGAAEslfLDO1tbVMmTIFNzc3tm7d2qln9+jRQ9S3mvflVUJVVZUhQ4aIjqbi4mJiYmJ4+PAhCQkJVFdXM3/+fLKyslixYgXbtm0TAzqkjaamJnR0dHBycuKrr75CWVmZx48f8/vvv2NlZUW3bt1anDGCLi0jI4O9vT12dnZs3ryZxYsXs3z5cvF+96pQX1+PlZUVpaWlhIaGElPO2i4AACAASURBVBwcjIKCAoaGhv+PuvMOqLrs3//rsPcegiAbFwoiIjhwz1xpipmlZkMjx6OVqbTsqSwrZ2qZ45s5yJWKmiAuFFBAkKkge4NMWR7W7w9/n/uBNAU91vNc/1iHcz7jnu/7Pa4Le3t7lJWV2/T3/yLi4+PR1tZGT0+P3r17k5OTQ2pqKidPniQ/P58XXnhBJLYpKSlRX19PWFgYZ86cAR5QyBsbGxMZGSl8Rc8T0noTFxfHkiVLuHHjhqgsvXjxIubm5jQ1NdGzZ09SU1O5ffs2X331FQC3b98W9HvPOjcbGhrw9PTklVdeoaGhgZ07d9LS0kJWVpbYS9t7D+ksuHnzZpSVlQkODkZHRwdnZ2fOnDmDvb19u6ngJ0+ezLhx4wgODiYoKIgXXngBd3f3NhVPz4o7d+6QlZXFTz/9RGNjI0VFRSQnJ5OYmNhhyvapU6eip6fH1atXaWxsZOLEiaJK9Z+utHRxcWHYsGGcP3+egoICVFRU2L59O0ZGRpibm+Pq6tpuyZKCggJ0dXXR0dFh5syZrF69mqioKM6fP09CQgJjxoxpdyCs9b47fPhwNm/eTHJyMpmZmWzfvp0RI0a0OxDWWufX1dWVHj16iH2xvr6+zZlIEZDG34ABA0hNTWXgwIEieNo6QV7q+9raWsFkJtHG5+fnP5dzwZPwXxsMKygo4O7du8ycORNHR0cx0CRx8GedSNICdeHCBZYsWSKCN2+99RalpaUKE1q+evUqixcvFoM7JCSE4OBgUd3WnuqzoqIi1NTU0NTUJC8vT3CvlpeXt8mm6wgkw+TmzZts2rQJJSUlQUnUOlv3r4xhV1dX4uPj+b//+z82b96MqakpvXr1Yvz48Vy9elVQzXR0MLe0tKCtrS2oJU6ePMnatWvJz8+nb9++7Nu3r0PXMzEx4a233sLS0hJVVVUqKysJCwvj3LlzWFtbtymLfVZI4/LatWvcuXOHXbt2oa+vT1ZWFhs2bODevXsEBATQpUsXhRzCpLaNj4/n7t27+Pj4tDF6pYVc6kMlJSVhGCspKZGYmMjSpUuBB5oPr7/++hPvlZOTQ/fu3Tl8+LAI8CYnJ2NlZaWwuflnSHO1pKSEpqYmQkJC6NOnDzo6OqipqeHm5vbcMggkWrE/B34kSDRXZmZmVFZWEhsbi7u7O/7+/m2+9+fxpaOjI9q7oqKC1NRUIiMj27xze9qxuLhY6G+4uLhw69YtevfujaamJv369aO4uFihgUJpo66pqXno8OLt7S2yOZ6E1vzKx48f57333nvs91tzTh89elQ4foyMjDh06BC5ubnY2tr+Y4LMysrKODs7k5mZyd27d8nPz2fNmjUsXboUd3d3Jk+eTHBwMK+++uo/Srkh3TchIYG3336bL774AgMDA3x8fETliGRYdxQ6OjpkZ2ezePFiLC0tOX/+vKjYU9RhvPUaGxwczNChQzl9+jTwINMrOjq6XVnNUjvY2dkRGRnJ2bNnWb16NS4uLnz//ffPrGUjrbm6uroPtWd8fDwDBgygsbGR27dvP/Ze6urq9OzZk3//+98YGRkhl8sJDw8nNTWVmTNnijnR3vEkl8tJSEgQfT148GDq6+s7VFX7ww8/AA8CiX/88QcbN27k/fffx9LSkry8PFatWtXua0nZYgEBAQ/RuZaUlFBVVSW0iJ4XsrKy2LlzJ83NzaK6pb1zVFdXF09PT/G7kpISYmNjOXfuHPv27WtXMAzgtddew8XFhYiICDw8PBg9erRYtzuyVjQ3Nwv7KTIykpCQENavX4+RkRFLly5tF7WYIiG9v6QZk5mZSXR0NNeuXaO5uRk/Pz+6du1KREQEw4YNIy8vTzig4uPjH5lJ+Dj06NEDfX195HI506ZN4/r16yQkJHD06FFMTEyEY+XP15LJHmhTTJw4EX9/f0JCQnB3d8fOzo6MjAwKCgoERenToqKigvfffx97e3u6d+/OqFGjWLVqFUePHmXkyJFtAiXPsj+8++67uLq6Mnz4cF577TW++uorPvjgA6ytrVmyZIlYM56GAiY1NZXt27cLLbyhQ4f+JQ1uVlYWnTp1Qk1NjTfffBNXV1ccHR3R0dFh165d4pyhCA2v1hXPW7duJTc3l169euHq6srMmTPx8vISFU9Pg8DAQEaNGiXWyejoaP744w8AHBwcmDx5MoCgGPrjjz/w8/OjoKCAFStWYGRkRENDg0I10v4MQ0NDZs+ezezZs4EHdtKePXva6N5IVdBXrlwRAVhXV1e6dOmCo6MjLi4uIhiiSBQWFmJoaMjNmzfFmbWoqIiGhgZWrVrFmDFjHkk/6uHhgY2NDQYGBrS0tBAXFycoeJ80biQ79Mcff2TChAm0tLRQWVlJVlYWv/76K/7+/s8tGObm5ia0bW7duiUS45YvX/6QPpqi0VqzbsGCBTg6Ogpb/e7du9TW1gLg5OTE8OHDqaqqEgHyS5cudcj3IdFJqaqqMnDgQHGdsrIyLl68SFVVFaB4zSVNTU1mzZqFpqYmgYGB7N+/n0WLFjFq1CgAcnNzMTExYfPmzZSVlfHVV18RGBhIY2MjoFjdwL8L0hocGxtLamoqMpkMS0tLbG1tGTBgAF988QUjRowQzkRPT09eeukl4QdQ9NmotePz3r17/Pbbb3zwwQdMnjz5kXaPTPZAouHWrVtcvXoVExMTOnXqxOnTpzl06BC1tbVMnz79b+sXS0tL5s+fT11dHQUFBeTm5oq9PiYmhvHjx2NnZ/ePnSkVgcuXL5Obm0tgYCBdunRh3LhxDBkyhMzMTCwtLR9icLl9+zb6+vpUVlYKzcNp06Zx+PDhv43VpLy8HGNjYzQ1NSkuLhb2SmFhoaCYnTx5Mh9++CENDQ1s2bKF3NxcunTp8kia5qeBqqoqy5YtY8CAAairq2NjY8OVK1fQ0tJCV1e3Q2NCWveioqLYvHkz2dnZwhY5deoUkydPfmIwLC0tjbS0NLS1tSkrK+P48eNcuXKFmpoalixZ8kzU3RJa67FNmzZNyKxYW1vTq1evDsvVFBcXk5SURK9evf5yPfin0NLSQu/evamoqMDDw4PCwkLi4uK4ffs26enplJeXY2dn1+5g2L59+wgKCsLBwYGhQ4dSX1+Pn58fy5cvZ8mSJairq7d7zGzatImSkhKRuOrk5IS/vz9du3bls88+w83Nrd3vKd0vMzMTb29vIiMjRcV2WFiY8OEq0gbPzs4mIiKCAwcOsHv3bvr06cPQoUMZOnToQ+2ZkZFBU1MTGzZswNraGh0dHZEwKDEq/F34rwyGNTc34+3tTVRUFDdu3ODChQskJSWRl5fHrFmzsLCw4PXXXxfZYU8DaYHq3r07v/76K1paWnTu3BkdHR0iIyOFwf2s3PJKSkrExMTQ0NDA/v37qaysZOzYscycOZNFixYJw/Rx99HS0sLb25svv/xSGNKXL18WumNPs1nLZDJKSkr44osv8PPzY/Xq1ejq6pKamsqZM2dYsGDBYx2YU6ZMYcqUKZSXl5ORkUFSUhKJiYl8+OGHpKWliQnXUQNYOkzev38fBwcHQSlVXV3NnTt3gAcZPR3RQWppaWHChAmkpaWhr6/PjBkzuHfvHo2NjQ8FjBSByMhIbGxsBJ2CjY2NcPQoKyuze/duPvvsM4Xcq7y8nOzsbEJDQ/ntt99Epv7QoUMfSVXX0tLC2LFjWbdunaACkvixpeqhvxpLzc3NjBw5ktTUVLZu3cr06dMJDQ1l7969ohpAEUHFP0Pqm4iICDIzM9mzZw/Xrl2ja9euWFpa4urqqhBjQII0n5KTk9m6dStDhgzhxIkTwAMHXWJiYhstl7t37+Lm5kZwcDAXLlwQFEI2NjaYmprSt2/fhwJSOTk5JCQkCC2V7t27t6GobO+8yc7OJjAwEHV1daqqqkhOTuaNN96gpaWF9PR0+vfv/5di0k8D6bnWrVtHZGQkcXFxzJ49mz59+oi/deQ+KSkpYi7fv38fFRWVh0rU5XI5Pj4+vPfee9jb2xMVFcXSpUvF+L53756o6vgnDaxNmzaRl5eHlpYWKioqjBkzBg8PDxITE4mJiWHMmDHA85kj7YVMJuP+/fsMGjQIAwMDlJSUyMjIwMLCgqCgIObOnfvUTovFixeTl5dHVlYWGRkZODg4EBoaSlRUFEZGRrz//vvPTGUqtd358+d56aWXkMvl4iCRnp7OrVu3gPY7XxYuXMjPP//MokWL8PHxIScnh7KyMqE59qzjaezYsbz11lskJSUJqtykpCSWLl1KYGBgu7KyamtrKSkpYefOnTg6OuLr6yucPhIe95ySoXvkyBGioqKE5oqBgQGdOnVi+PDh4sD5JLS0tNDU1ISKigoeHh54eHjg7++PXC7nwoULZGVldciAraqq4vfffycwMBAfHx/Cw8MxMTHBycmJo0ePYm1t/dyDYWZmZvTq1Yu1a9cyY8YMZs6c2a6x01qD88yZM8jlckaOHMmoUaPa9M+j1l5pfJaXl5OWlkZGRgbW1tbMmjULXV3dp6aYVlJSorGxkfr6erp06cKCBQv48MMPRWXmP4UuXbqgp6fHkCFD0NbWJi0tjYiICBFIcXNzIygoiIMHD4rq2YsXLwqnQUfWzM6dO/Pxxx+joqJC9+7duX//PsrKyqioqPxlG0j0vP369ePEiROcOXOG27dvc+HCBZycnFizZs1DGqwdRVNTE8OHD+fu3btcvXqVM2fO0NTUJDQxCgoKFHKPrl27EhwczMaNG9HX16e0tJRBgwbh5+fXJqO0oxWHLS0tLFu2jIkTJ9LY2EhiYiI//PAD69evf6QD/ffff2fhwoWcOHECbW1tunbtKqh8pk2bJmiCFGmXfPLJJ/j5+WFgYEBqaio7d+6kqqqKN954Q7T1016/uLiYkpIStm7dSk5ODm5ubuzZs4dPP/2U2tpaMUavX7+OtbU1SkpKBAQE0K9fP/r27cumTZsUHgyT1oj79+9TV1cnEkZlMhlTp04lMjJSnJMlvQmAX375hVdffZUBAwYQERFBbGysoDp3dnZWuAPYycmJcePG4e/vj6enJ126dCE8PJx+/foRERHRhrlAuveNGzf4+eefkclkfPzxx5ibmzNixAhBofqkM5v09+zsbAYMGMCBAwcEhffHH3/82GrGZ4W7u7u4fn5+Pvv37+fOnTuYmZk9t3u2hqSnmpKSgqOjo/hcOofU1NQIjScJzc3NjB07VtjS7TkTt6Y4l4KtSkpKGBkZMXXqVPG955H81bt3b+GkhbYJV76+vnz88cfI5XLefvtt1NTUCAkJEawp/4vBDZlMRmNjI5999hkmJibo6enR1NSEpqamsLns7e0JCgoSfqKYmJinZg5qLwoLC4WsSEtLSxttZKnfDx48yMSJE/nll1+IiorCxcWFhIQEhg8fzuHDh0lLS2PXrl0YGxs/ZNs+L0jrjKamJpaWlpibm+Pj44NcLic7O1vhWoL/BK5fv46bmxsxMTGcOnUKVVVVHBwchM/EyMiozVrv6OhI9+7dWbt2LVOnTqWsrIxLly6JM9bfEUTW1tbGy8uLGTNmoKurS3p6OlFRUejo6KCnp8edO3fo0aMHmzdv5uTJk9TX12Nvby/OUorYu5qbm6mtrRXJUwC2traiqrQj95BoW5WVlTE2NhaBCXgQtJcKMf4K0dHRzJkzB0dHR6Fj9/bbbzNr1qyHqqmfBdL7XLp0iaCgIOrq6hg3bhy2traoq6u3i6VDGh+nTp0SPrPS0lK0tLSwtrZm/Pjxz51qsz2QyWRUVlbyww8/EBAQgL29vaDPra6uJjU1tUNa56+88gpDhgwhMTGRqKgo8vLyMDAwICoqiubmZiZMmNDuc7G7uztnz57l559/ZuPGjdTU1AhJiI5Wqkp9OmXKFDZu3EhUVBSrV68mLS2N8PBwkZCvyP1QYrC7ePGiYOnYtm0bly9f5vvvvxdzp7m5mZ49e7Jv3z5u3LhBdHQ0iYmJqKio8OWXX2JkZMSIESOeOD8Uhf/KYJiSkhKxsbG4ubm1MSrr6+sJDw8nMDCQ+vp64OkzjqTOnzt3LuvXrycgIAAlJSXi4+OxsrJSiDNMSUmJpUuXsmfPHnHwPXr0KDKZTJQHSvd5HBoaGnBxcWHr1q00Nzczffp0LCwshEO+o1SEUptdvXqVvn37YmFhQc+ePYUjJTw8nMWLF//lgh8UFERxcTGOjo7Y2dk9ZPiXlpY+E/VgQEAAx48f5969e/z000+YmpqKCiBJYL49kJ4/PT2dgwcPcuvWLaysrPjqq6+oqakRwveKgvSunp6erFmzBmNjYwYNGoS9vT3nzp1j6tSpZGdnP5P45p9haGjI0aNHgQcVWmfOnOHbb7/l2LFj7N2796E+VFFRYcKECSQnJ1NUVMSqVavQ09MTVBaP6zPJGB86dCjl5eUcOnSIqKgoZsyYIegpnmfFi7+/PzU1Ndy+fZuIiAiCg4O5e/cue/bsUeh9pPkk6Y6YmZkJYzA/P5/Q0FBmzpxJS0sLdXV13Lx5UzgRvLy8SElJ4fbt2yQlJVFcXPzQHK+treXLL79ELpdz8+ZNXFxcqK+vx9PTkwULFnTIuPHw8ODgwYMUFBSQkpJCbGwshw8fFpSnUoWaopwb0jV27NjBxYsXCQwMZMGCBdy/fx9zc3MOHjzYrhJu6XmuXbtGbW0tlZWVInj8Z6ipqfHKK6/Q0tJCTU0NK1asEEbBuXPn0NLSEoHdf7L0fv/+/WRnZxMWFkZMTAwHDhzg4MGD1NXV0atXL0EP8E9npKqrq7N48WLgQbBmxYoVwghZt24dw4YNY/DgwR0KahQXF1NfX4+zszMuLi7I5XIqKirIzs4mLS2NyspKhWj6SW0nObaPHz8uNJoiIyOFo+xxznNpnERFRdGlS5c2mpE1NTW88cYbbb7XUVRVVYksSmtra86cOcORI0fIyMggJydHOOo1NDTaHLb+DOlgERgYSHR0NOXl5cLxExoaiq6ubruyxKR3OHToEP7+/qxduxZPT08SExMJDw9vw+H+pPeVKmik70tivmpqaiLY215UVlYSGBiIk5OT2NdPnDiBTPZADD4oKIjdu3d36JpPA11dXd555x1GjRrFmjVriIuLY/78+W0q5B8FaS1cvXo1JiYmQr+turqa69evM2DAADQ0NB657krj89tvvyUlJQVbW1tu3Lgh/j5t2rSHaBvbi71797J//34cHBwwNjbGzc1NIfq3HYU0ntLS0jh69Cjp6enI5XIcHBxYsGBBm0Cwp6cnqampxMbGEhcXx48//oiXl5cIHrRnHkr3O3XqFIGBgVy4cIHffvuN3r17U11dLbS/HnWto0ePUlNTw9y5c5HJZEyZMqWNtqwiYGxszMsvv0xjYyOFhYVkZmaSl5dHQUEB27Ztw8fH55n1PZWVlVm0aBGLFi0CHuhaSYG3gQMH4uLiwuHDh5/q2vHx8RgbG7epvA0ODubIkSMPBcOam5sZNmwYqqqqhIeHU1dXx9mzZzE1NaVz587Y29sLZ4Oi9myJnljKQvbw8GDSpEnMnz+f11577Zn2n7lz57J582b27duHXC4nICBAaBnGxcXh5+cn+kxTUxNDQ0Nxzli7di1hYWHPVfvw+PHjbNq0iaFDh9KvXz+6du3K+fPnycjIaMPYILW1oaEhnp6eGBkZMX78eEHjK52rFYWcnBysra2Ry+XMmjULBwcHTp8+zfXr15kxYwZeXl6cOHGiTea45Kj64osvWLx4MStXrsTQ0JCMjAyOHDnSITr2kpISunbtipqaGjU1NZSVlaGjo0NcXByrV69W6LtKbZyZmUlZWRnW1tYYGhpiaWnJlClT2Llzp9BCe97BmFu3bnHgwAEOHTrEgQMHGDFiBMOHD8fKygolJSVB4T9t2jSio6P56KOPGDRoECtWrHhq+/TP87ijSatPgmQPXblyhR07dlBSUoKPjw8eHh4iYSYzMxMvLy/BdCNp1+bn56OhoSEcsf80RVdHIY2ZyMhIjI2N2bFjB/X19aSnp5OQkEB+fj4LFiwAHlBhv/vuu+zbtw8zMzNh3ylqzLXe1zdv3kxlZSV6enrI5XJ8fX0fSbn6ww8/MGLECKqrq1myZMlDjEZOTk7Ex8dz+/btvyUYJrVnaWkp+/fv59atW2hoaGBlZUW3bt2wtrYWwbD/xcApPEguraysZMuWLVRUVJCXl0deXh6ZmZmcPn2a/Px8vvzyyzZOf21tbd566y1++eUXtm/fLqhBX3zxReDvaQs1NTVeeuklKisrSU5O5t///jeGhobCl7F3714MDAyYP38+CxcupLm5uU2SiyKecd++fezfv5/a2lqcnZ1FwqCUtNHR9UNbW5v+/fszb948EVQKDQ1FXV0dExOTx+4JcrmcPn36YGtri7GxMSUlJRQXF9O9e3eFVutJ9x89ejRaWlrExMQQEhKChoYGnTp14pNPPkFXV7dd1zh16hTe3t6MHz+eiooKEXyR9Nb+SV9Na+pA6X2ampoEhauOjk6HAzAWFhZYWFjQr18/7t27x927d8nNzSUuLo6LFy+K+dMeDBkyRCQwFBUVERMTw/nz51m3bh11dXUEBgY+sR/gP2ucFIh98cUXaWho4PLly2zZsoW5c+cqdD+UrmFpackLL7yAqakppqameHt7895771FXV9fmuZSUlKiursbCwqKNtu2dO3eIjIzk8uXLbeSWnvd4+a8MhuXk5ODn54eOjg52dnaMHDkSd3d37O3tGTZsmHAqwtN1YmhoqKASMzc3Z/Xq1YSEhAitBcl5rQij1cXFBT8/P/T09Dh69CgLFiygb9++lJeX06VLl3YFjd5//3127txJ9+7dSU5OpqmpCQcHBxHJ7qjxKt2rsLAQT09PQkNDhRNR4haFvw6yffvtt8jlckaPHk1zczOamprY2Njg7OxMly5dsLS0bHOfjiA7O5vjx4+zbt063nzzTaysrMjJyeGbb77hu+++6xDdlvT8hw4dEpma0jNdunSJurq6Z6a+eRQ8PT15++23CQsLIz4+XjhppcCF5IhWBOrr64mNjUVFRQUjIyOWLVvGsmXLhLNNGsPSvytXrmTKlCn4+/tTUFBAdnY2PXv2FI7vx/VZdHQ0+/btY/369XTv3p1Vq1Y9VMr6vIylpqYmCgoKyMzMpKmpiTlz5qCtrU1hYaHCS2mlMV9ZWYmXlxenTp0S8+P69euigqu5uZno6GiSk5O5fPkyu3btYs+ePdjZ2TFmzBgaGhpIS0sTThBpnoeFhWFoaMjy5ctZtmwZ/v7+fP7556KqqCOQrmlhYYGmpib9+/dHQ0ODnJwcrl69Khy6iu4XDQ0Nxo4dK/Q3cnJyuHDhQru5jCWnQHNzMxEREQwdOpRevXoJQ6B1Nis8oPz8sxOkqKiojc7KP1lxJd3b2tpaVJfAAzpCidZOS0vrH6XckJwJX3/9NYaGhsyaNYuxY8diYGBASUkJ6urqREdH8+2333L8+HG2b9/e7uc9fPgwycnJdO3aFRsbG2xsbLCwsKBPnz54eHggl8sV+i6TJ09m9+7dJCcnI5fL2bp1K/n5+SIo/7g9UXqfbdu2MXfuXMzMzNi2bRspKSksWrRIVCw8rfG1bds2hgwZIqp2J02a1CYDGx44ip6kpSE9Z1BQEP7+/uzbt09QWF24cAErK6t2UcTKZDKqqqqELlJVVZXQo3r77beFHdHR9229n0rv1BHn17lz5ygvL+fNN98kOjqaDz74gJs3b5KdnY1cLuebb75RuNbhXyEuLg4zMzNmzpzJihUrqKqqYvny5X+ZiSe1eXZ2NqWlpWzcuJGbN29ia2tLeXk53377LUeOHPnL+0njMzk5mV9//ZXGxkYyMjLIzs4mJSUFc3PzNvd5EqTvZWVlceDAAX755RfKyspITExkx44dKCsrt8nU/zsgrYk7d+5EV1eXl156CSMjIwICAti6dStLlixBV1eX3NxcampqeOWVVwQt4QsvvECPHj3EftieNpDG4rZt29i1axe5ubmYm5tTU1PDxx9/zPvvv/+XlVeXLl0Se9mnn36Kt7e3YIfIyclBW1v7mTPFpb36t99+Y/LkyVhZWdHY2EhFRQUVFRV/mQzSEUhzMCIiAmtra1xdXXF1deWdd95BLpeTlpYGdCzDW/pueXk5vXv3pry8XOgfNDc3U1pa+tA1lZSU6N27NwBr164lJyeHpKQkbt26RXx8PNeuXcPQ0JDXX39dIVps8MBeMzc3JzMzU9Df3bp1SyQePMve6+bmxmeffYaWlhYhISFs2bKFQYMGUVRUhLa2NqampuL6PXr0oHfv3mRmZgoH9cGDB4UNqUhI7zNjxgxsbGwIDQ3lwIED1NTU0LdvX2EzSXR2MpmM3NxcKisr+e6775gzZw7Gxsbo6uqKpKLW130WZGZmcuzYMfz8/Pj111/p1asXPXr0eIiucuLEieK+0hwJDw+nd+/eODo6imBWU1MTV69efSKldmuYmpry3nvv0dLSwsiRI/nmm2/o0qULurq6CtejlNafEydOcOfOHWxsbLCyskJdXZ0TJ04IKt2/wwb08PDg1q1bZGRkEBgYSGBgIGvXrmXOnDmsXLmS8+fPC2aXkydPMnHiRFJSUggJCWH06NEduld+fj73799/aK9UZCAM/tO+//73v8UZOiwsjK1bt5Kens6iRYvo3r07d+7cYdu2bbi4uGBtbY2trS329vasXbv2H62OfhZI48XJyQlvb2+xBhcUFFBTU8PkyZPFHOrVqxfHjx8nPj6ezp07t1urpr2Q9vXDhw9jbm4uksnOnz/P7t27MTU1bcPaVFNTg4eHB8eOHSMkJIQlS5Y80ufl4+PzxAQkRUHyDUlJMGZmZiQlJdHc3ExAQADz58/HxcXlf5oiMT4+HgsLC3R1ddHV1cXa2lpQxRYXF1NUVPRQ9UtjYyMNDQ0sX76c5uZmGhsb2/gk/q4AhrKymm7/AgAAIABJREFUMkuWLCE/P18kl0gYO3YsP//8M59//jkLFy4U55dnhdTXCQkJBAUFsXnzZhYvXkzPnj356quv0NXV5cqVK091TWVlZaZPn05hYSF3795lypQpmJqainXsceOsc+fO/Pjjj6SlpREXF0dhYSFXr17lypUryOVyXn755adOnHsUWtPdZmZmkpCQQFpaWrsCMNL4MDc35+WXX0ZdXR0zMzPs7e0ZPHiw2HP/yWQE6d6dO3fm9ddfF36op92vJJv7+PHj1NTUCHYPOzs7Bg8e/FS29s2bN6mqqmLw4MFt/GxZWVnt6gf4z5g6cOAABQUFfP7551haWlJeXs6KFSvaTQHZEdTV1bF//35u3LjB6tWrxTkWaKMnDw8qBgcOHIiZmRkDBw5k6tSp9OvXD0dHRxwdHUWSc+vfPE/8VwbDrK2tOXbsGPfu3eP7779n48aNaGlpoaamhq2tLS+99NIzlX7funWLfv36sWHDBioqKvD29sbDwwNLS8uHxD6fFUpKSmKDnzNnDjKZjJiYGLp168ZHH330l79r7WyRFhAp+qwoTJkyhdWrV3Pz5k2WLVtGVFQUERERTyyd/PDDD9m9ezdpaWn06dMHuVxOdHQ0UVFRNDU1sWrVqg4bYK0PQYMGDaKqqkoY16WlpZSXl6OmpvZUXL0pKSn4+fnxzTffiHFz/fp1QeWo6KhzS0sLEydOxNvbm8LCQpYuXYqhoSEymQwvLy+F0T41NTXx/fffc+nSJczMzNDQ0MDS0pJly5YJx0pr6rqWlhYsLCz47bffqKurY+jQoVhYWDwxiBAfH09eXl4bjlkJN27coKio6Lllnkubw9GjRzl69Ci6urpYWloSFBTEm2++ia2t7XPLGhg7dixHjhzh2rVrjBs3jnPnzpGYmCgWaSUlJezs7PDy8uLzzz9HQ0ODHTt2YG1tjZubG506daJbt24PPV9oaCgDBw7k7Nmz4sA/depU8vLygPaPR4mSpKSkhICAABISEkRGsoGBQRsqR0WsZdJzlZaWEhgYSHx8PN7e3vj4+GBtbc1rr73WIYe4TCbj3//+N/DAKRwREcGFCxc4fPiwEPCFB0Gv4OBgTp8+jba2NsOHD2fixImYm5szfvx4kR31T1Vc1dfXCx2+W7duceXKFTIzM5k1axYuLi5tKgP/yYOV1D79+/fn5MmTHDlyBF9fX5SUlLCxsaF79+6MHj2alStXUl1dDbR/Hxw1apSggFi7di09e/akU6dO2NjYYG5uztChQ59ZN0zisVdSUqJbt25MmjSJuro6jh49io6ODsuXL29X1a1EbVdcXMzgwYM5d+4cUVFRWFhYsG3bNjGXnxb/+te/UFVVJSAggKCgIPbu3YuWlhZ9+vTB09OTyZMno6Ki8kT9pta2iLGxMQkJCaJqLSUlpUPBjczMTFxcXMjPz0dfX5+ioiLq6uooKSlRmLPkaQ4TxcXFfPLJJ9jb26OhoUH//v2Fbt3zNICl6wcGBvLrr79iYWFBYmIigwcPZvHixdy5c4eFCxeKxI+/wrVr1/Dy8iIuLg4rKyvgQfDExMQETU3NR75Ha6e0paUl6urqaGlpicBFa3R0vcjMzGTw4MHCVuzZsyc2Njbs2LGDqVOn/q3OndZi6IGBgeJzZ2dnFi5cKLRNwsLC+O6775g7dy4LFy58Kr1e6b2ioqJwcHBAQ0MDLS0tEQxLSUl5rO2cn58vMtrT09PFPAP48ssvmTt3rrAXnxZKSkoUFRVx+PBhERxXUVHBwMCA8vJysXY9S/9Ic/DLL79k/fr1wANmiZaWFkpLS4VWcUf2Sum7P/zwA3FxcVy5cgVfX18aGxspLi7mww8/fOJzW1tbY21tzZgxY6ivr6ekpIR169axa9cuhVGGd+vWjZ49e+Lr60u/fv1wdnbmzp07wubvKIPGnyHN75EjR5KSksJPP/1Ejx49hA0jjUE1NTUGDhzI9OnT0dDQQC6X4+XlJajEnwf++OMPxo4dK8ZoTU0Nampqwvnf+r0lCr3i4mK+/fZbLC0t6dKlCwMGDGgXU0l7IdG+FhUVce7cOS5evCj0V5ycnHB1daVbt25oa2uL30hrZUFBAf379+fChQv4+PgAEB4eLtbH9jiYGhoaSEpKQkdHB2NjY1577TVqamrQ19dvl67o08LX15eYmBiSk5OJjY0VzC4SRd/z3NcWLFjAtm3bCAkJwcvLCzs7uzaVopWVlcADavHc3FyCgoJwcnJi7ty5LF++vA3l4ZOes7a2Fi0tLbZv346np2ebYFhZWRlqamoKTVSUyWTU1NTg7OwsKhmlf3NyctDX1xcOa3t7e0pKSkhLSxOMN76+vn8b5ZKiIa0tly5d4tixY0RERNC3b19OnTpFamoqX3/9Ndra2vTq1YsxY8YwcuRIEXxXtC0lXSsvL4/FixeLgMrcuXO5fv066enp9OzZU9xXVVWVV155hU8++YSSkhJmzZqFs7Mz/fv3p1evXiJg/Kz7a0cgjfMbN26wcuVKDh48yLx58xg7dizvvfeeSND4Xw6GdevWjU8//RT4z3opk8kwMDDAwMBAJNZJfwsPD+f333/n3r17yGQP9Ojs7e1xd3d/oqbVs0Jq5+LiYk6cOMH169dRUVHB3d0dNzc3evfuLc6Pkjb5li1bWLx4MS+++CLTp09/5iopyT64fPkyI0aMICcnBw8PD5YuXSpsx44yXrVOvJw/fz6LFy8mMTGRzp07Y2lp+cQkdLlcjr+/P1ZWVsybN49XXnmFmpoacnNzycnJ4fbt2+Ic+Sxj9c+U76Ghobi7uzNu3DgmTJjQrmRW6RoZGRmcPXuWvLw85s6dS58+fdpQuf6TaN13rfeCZ0mSkK4XEhIibDzJDxYcHEzXrl07RLkIsHv3bmH3SBpaSUlJwgZtD6Sx0NDQIN71eSeXNjQ00L9/f2JjYxkyZAidO3fG29ubKVOmPBSwNTY2JioqisTERDZt2sSrr76KTCbDwcGBQYMGMWXKFLp16/Zcn7c1lD+VVsv/IrS0tKCpqYmxsTGXLl1i1qxZ+Pv7Y21tTWFhIbq6uvTo0YOmpqan2uRtbW3R09Pj7t27NDc3c/PmTYKCgggJCRECc4rMIJKohFRUVOjWrRtTpkzBy8vrsVmvrcvijx8/Tn19Pebm5gori5XL5WhpadG9e3fq6+vJyckhICCAhQsX4uPj04YL/M+wtbXF1taW/Px8jI2NRXBSW1sbHR0dkQHXEUj3SkpKolOnToSGhjJ8+HAcHBw4cOAAlpaWeHt7d3gjkqjodHR0CAwMZMWKFchkMrZv387ChQvR1dVVWKBAyirZs2cPP//8M9XV1djZ2eHg4ICampqgelTUvSIiIggKCuLIkSNMnDgRS0tLLl68iKGh4SMzrGQyGf3796eiooItW7Zw8eJFnJ2dn+hALioq4ueff+bs2bPEx8eTkJBAXV0dDg4OrF+/HhMTE9zc3J56Pj4O0vXee+89Nm3aJERtb9y4QUxMDP3791dohqdcLheHbEtLS+rr68nNzSUlJYUbN24we/ZsMb5lMhl6enq4urpy5coV+vbtS2NjI1FRUVy+fJmTJ0/i4OAgdAKkcVZdXU2fPn3IyMggPz8fGxsbfvjhBwYPHoyTk1O7jRppLuzbt4+amhqhxzF8+HDOnz/PtWvXRHa2oiCTyXj33XdxdHTk999/Jyoqiq1bt7Jt2zb69u3brk1fer+GhgauX79ORkYG9vb2DBgwgBdffJEZM2agrKxMS0sL8fHxbNiwgdTUVKZPn05jYyPHjx/n6NGjuLm5YWNj84/TDu7Zs4dOnTqhp6fHu+++i56eHqdOncLX1xdDQ0P27duHlZWVQim3ngXS/nfo0CHWrVtHeHg4v/32G7Nnz6a2tpbi4uIOO2aNjY1xcXHB3d2dP/74gw8//JD6+nrS0tKIiYlhwoQJz5wpfPjwYZHBeefOHVxdXXnxxRcZPHgw48aNa1eiiDT24uLiiIuLw97enlOnTjFr1ixmz57Nli1beO21157pOaVDp4uLC76+vrz44ot07dqV0tJSDh06xAsvvNDuClC5XI5cLufkyZOUlZUxbdo0Ll++zNWrV0VWYXv6yNzcnIEDB6KhoUF+fr6gOXV3d2fQoEFPvXZL7VlZWUltbW2Hxri5uTkZGRkEBAQQGRnJmTNnyMnJQVdXV6FJP4+C1GZ6enpYWloyZ84c5s+fj7u7OwMGDGDUqFGUlpYSHR39SNqf1r+/du0ahw4dYvjw4fTu3Zvt27fj5OSEp6fnX9or0hg8efIkZ8+e5f79+1RXV6OqqoqOjk6HD7bSfUJCQgSdnaWlJY2NjZw+fRodHR0GDRr0t9OTVFVVce3aNe7du0eXLl3Q0NBATU2Nbdu24efnh7KyMj179qR///5EREQQFRWFk5NTGwd5eyC1VVZWFo2NjWRnZ6OpqcngwYMJDg6moqKCsWPHPnKcx8XFERERwcsvv0xhYSGnTp0SlZPwoLLtnXfeeaYzgWSzSXTpo0ePFoLk0dHRbNq0iUmTJj319VsjLy+P4OBgFixYIPT9ZDIZ77zzDuPGjXvq95g+fTqjR4+mpaWFEydOcPz4cW7cuCGqTh0cHP5yzEp6QvDA8aCvry8YJTqqg/Bn3L17V9CRenp6MmDAAEpLS8nIyODVV19lzJgxYk1+Flu/tcbM4MGDefnllxk5ciQGBgZiXsXGxrJv3z5++ukn4uLiGD16NPn5+Xh5eXV4TD8J0pi6du0a+/fvZ+LEiTQ0NKCkpERNTY04n0nIy8tDV1cXU1NTxowZw4QJE7C3t+f+/ftcuXIFKyurDtmfT4JEOaSvr8+0adPw8fHBzMxMONyMjIxwcXER79EaNjY2bNiwgSNHjggn+W+//cakSZPEeHncM964cQM/Pz/i4uI4cuQIAQEB1NXV8c477+Dm5qbwvpDaTKI9HTx4MN7e3kJDcsCAAc/dGdjU1IS9vT36+vq8/fbb/N///R+///476enpqKqqYm1tLZJ8JI3Y4uJiVq5cSXNzM5s2beL9999HVVW1Xf1/9epVLl26xNmzZxkxYgRmZmbCcbdp0ybMzMwUppEmtW9jYyPl5eVERUVhZmaGTCZDVVUVAwMD1NXVkclkHDp0iEWLFtGnTx+sra3R09Ojrq6Ofv36oa+v/z8Z4JDJZFRUVLB8+XJeffVVzM3NBW22TCbj9ddf591330VdXZ3Dhw+zYcMGNm3axOjRox/Sq1bEs8jlci5fvsz58+cxNzdHWVkZDQ0N9u3bx9tvv93Gt6WsrIylpSWdOnXCx8eHSZMmkZGRwfnz59m2bRuqqqr07dv3b+0X6T4BAQFMnz6dffv24ePjg6WlJQEBAYwfP1602//aWJHQOhj9VwlZEmQyGd999x0mJiZMmjQJGxsb5HI5MTExaGtr071790eu04qCtH/u2bOH8PBwXnvtNUxNTUlNTeXQoUMkJycLus/Gxkby8/MZPnw42trarFu3Dltb22d2nEttdOXKFYYNG0ZkZCTa2tp4enpy6NAh9PX1RTJGe9qhrq6OrKws4uPjOXLkCC+//DLa2trY2dlhbGzMhQsXHmszwYOz5KBBgygrKyMqKgpVVVXs7OwwMTHB3t4eT09P0cfP2jcymYz33nuP6upqzM3NCQ0NZceOHXTr1k1U2j/p9/DgzKqvr09ZWRkXL14Uyc1qamp/G9PH455RGvv37t3j/PnzfPTRR4SHh6OiovJUVYbSe2/durVNYpdMJmPVqlVCiqg965s0Bn/66SfeeecdtLW1aWhoQEVFhY8//hhbW1vBvNbe5zp27BinTp2ipaVFyCyoq6s/F7+Zuro6w4cPZ9asWbz55ptYWloSHh5OUVERw4YNa3P+am5uRk1NDSsrKwoLCxkzZgxbt25FVVWVkJAQCgsLH/rN88R/ZWWYtIHCA/7IDz74AHV1dYYOHcrQoUPFoeppO1M6IEyePBl4wK2bmppKYmKiwrRNWqN1R7bXCJd+I2VHXL16lZiYGPT19TExMWHmzJkdihJLkDadyMhIUlNTmTt3Lh988AGlpaWCSvCvIE1mmUyGu7s7ffr0Ye3atbz//vvMnz+/DX3l02LGjBm8/vrrhIWFUVNTIzixly5dCnR8wVdTU8PX15c1a9aQn5/PyZMnuXDhAs7Ozu1eVNoDqd2WL1/OlClTGDlypHCS5eTksH//foULNkdHR4us9ZaWFjw9PSkoKODs2bOMGjXqLx1fvr6+TJgwgRMnTrB3715ef/31x9IT9O7dm927d7Nu3TpGjhzJqVOn2LZtG2vWrGHIkCHCifO8ghK5ubmizB/AyMiIr7/+mkmTJj1ztcmfcfr0adzd3amvr6ehoYFx48YxcuRICgsLsbS0bFOdKJfLKS8vx9zcnA8++IDu3btTVVVFYWEhubm53L59WwgZt4ZEvzR16lRWrVrFN998g7m5ucjka+/CL62DMTExfPLJJxw4cEC0UXh4uBjfinKASnRrVVVVzJw5k99//51Dhw6xZ88eEhIShKHT3kPNN998w927dzlz5gzHjh1DV1eXW7duicpJmUzG4cOH6dmzp6AbmjhxIh9++CHr169n8+bNrFu37h/NOMrLy+P333/njTfeIDQ0lPT0dNTU1DAyMsLBwYGamhr27t3LSy+99I8945/R3NwstKo2btyIqakpKSkp6OjoEBUVxffff8/+/fuf6trBwcF0796dXr160atXLwAqKioUErC2srKiU6dOHDhwQGQ1Gxsb4+DggLm5OX379n3ieiCNS3t7e7p168bKlSsZOXIk/fv3Z+/evSJ4/LRC0a2zLIuKipgyZQp6enr4+PgwZMgQVqxY0aHrqKmpMWrUKOLi4igqKhK/X7hwIdD+uX3s2DHGjh2LpqYm8+fPx8bGpo1o8NMGwhobG1FVVWXbtm307t1bZGq3B8bGxnzwwQeUl5ezatUqzpw5wx9//EFAQAC1tbVEREQ8FyqH1ujUqROqqqqUl5ejoaHRhoLCwsKCvn37Pvb31tbWQgz+1KlT/PTTT4wbN+6xVQDSGNTX12fevHnk5uaSnJxMXFwctbW1zJkzp8O2gjRWU1JSyM3NZc2aNXTr1o3y8nLs7OyYM2dOm+/9XdDT0+Ott97ixx9/5P79+9TX13Pz5k28vLzaaHj17t0bPT09fvzxR5YuXco777wjKE/bi+bmZlxdXTl37hy7d+9m1KhRbNmyhZSUFOFIeRRiY2OJjY3lq6++orS0tM2eHRMTg5GR0TMnMkjjQC6X09LSQn19vUgOSEhIELTAihCoz8/PF2cD6VqJiYkikPO0TseGhgacnZ1xdnbGz88PgIiICI4fP87GjRsFlcuj8Od50Nzc/Mggc0dx8+ZN3nzzTby8vOjTpw99+/YVFWJ/hiKcRa3/u3U7SrbY0aNH6dmzJ3379hXjKCgoCD09PYWzJ0j3DAsLE5m/9+/fR1VVlYiICJKTkwWFWVVVFV988QVbt27lk08+Ee0lVaPOmzdPXE/RDs+ffvqJqVOnYmJigqenJ66urvj5+XH//v1H3q+srIzbt2/zySefcPDgQaKjozl48CCrVq1ql418/fp1fv31V8aOHcugQYNoaWkhOTmZc+fOUV1dzdKlSxX+jlJVQUBAADo6Ori7u3P+/Hl+/vlnRo4cyZw5c5772qusrCwq+y5cuEB+fj5hYWGEh4ezbNkyevTowc6dO4EHNIqdOnXCzMwMNTU1bty4waBBg9DS0mqXTdHU1ISOjg6RkZGUlJSwd+9egoODcXZ2xsLCgmPHjgkbRRGQ2nffvn0cP36c6upqUlNTsbGxoUuXLuJ9srOzuXPnDioqKujq6go7VNIjgf+94IbUH4mJiYwZM4ZXX30VeDBPsrKyyMjIIDk5mQ0bNrBgwQIh/XD58mWFUcj9GXl5edy/f5/79+/z22+/0djYSGZmJh4eHqIqVUrcXr9+PX5+fvTp00dQDUt2dllZmXDQ/hNByq+//hpVVVV8fHzYtWsXISEh5ObmisDK/9pYeRQe1a6t/781e9DKlSvF5/fu3aOoqEhQnT3PtmhNnbZo0SI8PDyoq6tjzJgxlJaWCp/sjBkzsLKyoqmpicjISPr06UOfPn2EvaMIX8eLL76IqakpQ4YM4dNPP6WoqIj4+HhmzZrVoevcvXuXy5cvc+zYMVRVVTl27BiGhoaCwvbMmTOMGTPmiePe1NSUWbNmcfr0ab777ju0tLSYO3cugwYNQkVFRSHzRvLtZGVl8d1334mEqZCQEA4dOoSbm9sTEzjPnz/PkCFDMDMzE2tQWVmZ0AuT/DSKsHE7gtasY9bW1mLP++GHH8jLy2PatGmkpqbyxRdfCLr+juLevXs4Ozuze/duXnrpJXR1dZHL5SLxHdo/fyorK7G0tKS2thZ4IEnS3NxMXl6e8Km0F9XV1XTt2hUjIyNu3LjBzZs30dfXx9bW9pmTfh+FnJwcwsLC6Nq1K25ubm0oHqHt+VNJSUmMhbCwMFatWoWysjK+vr74+vq2+d7fgf+6YFhGRgZpaWmMHDmSgoICDA0NRYZGc3Mz8GyNI02M8vJyQkJCCA0NpXv37rzwwgv4+voKeihFobi4GD09vacOsA0aNIgBAwZQXFxMRkYGGRkZJCYmPnUbtKZeOnDgAJcvX2bFihXtKoOWMt8yMjKIjY3Fzs4OOzs7Dh06RHBwMH369HmqyrXWJdJyuZwdO3Zw5swZwsPDSUpK4tNPPxVO/va+d35+Purq6ujo6NCjRw8++eQTjh8/zokTJxg/frwoZ1WkAVZaWoqdnZ04BMyePZu6ujpSU1MVWu4ptUH//v3Zv38/iYmJgpYgJCREOBmkw6005n///Xdyc3MxNDQkPT2dK1eukJWVxbBhw3BwcHikIXH69GnU1NTw9vbm/fffBx6UF/v7+wu9i2fV0ngSpKzGHTt2MGvWLBoaGggLC8PIyKiNQ00RUFZWxsLCgh9//JHU1FRMTU2xtrbG2dkZmUyGlZWVWNDDwsIoKytjwIABxMXF0dzcjIWFhdA5GDJkiHB4Sc946tQpjh8/zttvv42rqyv+/v6kpqa2y5H/Z0jX1tXVpaioiGvXrgmnZ2pqqqBzVMT4luZJTEwMLi4uFBYWinYYMmQISUlJ7RYclslkIrvz2LFjZGVl4ejoSH19Pf7+/uzevVtcKzY2lnnz5gH/yS5XVlbmX//6FwsXLiQuLu6paLWeFdImHhoaSr9+/WhoaODAgQPY29vTo0cPgoKCgAeUWxYWFsKg+adFY8+ePcvVq1cxMzPj/PnzlJSUEBsbK5yHhYWF4vDTXqP19u3baGhoYGNjQ1hYmOAbl+6pqICGtK7Nnz+f27dvi8rK6Ohoamtrnxi4aA0jIyPeeust5syZI943JydHYWLjJ06cEHvq5s2bOXHiBNOnT2f+/PntmudHjhxBR0cHKysr7O3t+fLLL8nJySE3NxcXFxcRtGnPeKqpqeHMmTN89913vPDCC8ycOVMEayQ86X3lcjm3bt3C0tISIyMjlJSURFY2PND/kpKL2ouGhgZUVVX56quvgAcH3RkzZgAPEiCeVyCsdRb/N998Q2NjI4aGhoKC19HREW9vb2bMmPFICuHWv4+IiGDatGkMHDiQ7OxsVFVV6datm+jjx7Wr5KhraWmhrKyM9PR0EhMTn0lD6euvvwYeBD+uXLlCbGwsV65cISEhgW7durFmzRqFa7k8CtLcX716NdOnT2fWrFkEBwejqanJ5MmTRbDv7t27AOL9x4wZw44dO/j666/bHQyTsuNVVFTQ0tLio48+wsnJifT0dLEPStXcf17PWlpaeO211+jZsyeXL18WYt++vr54enpy69YthSYxTZgwgcjISH7++WeGDh1KREQEly5dEvqBitirXV1d2bFjB2+88QbTp09HWVmZK1euiPfoCF2g1I9xcXFs3bqV3NxcevXqhaurKzNnzsTLy+shDajWqK6uFu8kJQJK9M7Puh+2tLTg6urKL7/8IjQ09u3bh4aGBj179sTV1ZWhQ4cqJOmtrKysjaYWtO0rqT2TkpJYs2YN7777rkgSu3bt2kOakYqAdM/q6mpRgSM5nEJDQ4XjpKmpCT09PTZs2EBNTQ2VlZXs2LFDOF0krVZF0pS11l85e/Ysb731FnFxcaxbtw4TExOWLVsmznRSO0rjISgoiNjYWNauXcu8efNQVlbu0BkjMDAQFxeXNlSIvXv3RkdHh3379lFUVPTIJLVngTSOb9y4wddff01WVhbHjh1j1KhRJCQkkJmZ+bfpIbW0tFBUVISlpSUvvfSSSMQqKSkBHozRU6dOUVFRIRIhHR0dO5RwqqysjIeHBw4ODkRHR2NlZcWVK1eIjIxETU2NZcuWoaenp7DztTTWDx06xK5du2hqauLatWvEx8fzxx9/YG1tTadOnYiOjkYmk5GWlva3tfffhZSUFBITE4mMjMTd3R0jIyOMjIyEszUuLo7Dhw9TUFDA5MmT8fHxeS46ys3NzdjZ2bFx40aqqqpISkoiISEBVVVVKisr2bhxI0OHDmXSpEnCGdvc3MzMmTMxNTXFwcGBfv364enp2UZT5p84G0l7w6uvvkpVVRXKysqC9vafPK8pEn9O3GgN6fPCwkJBcT99+nQcHByE1ljr6zzPZ4QH/s6IiAg8PDzQ1NREU1NTBGEaGxt56623aGxsxNbWlm+++YaCggI6deok9mVF9Jft/9f97dmzJ/PmzSMyMhJ/f39xnmtvO3Tu3BkfHx+ioqLQ1NQkOTmZiooKgoKCSE5OFtqMj1sjJbo9NTU1pkyZwpQpUzh16hTXrl2jtraW8ePHK6xf7ty5g6mpaRvmAEdHR/Lz858YCKutreX27dsMHz6cRYsWYWtrS69evXBxcaFfv37069dPfPfvTsiT2mfz5s189NFHWFlZ0dzcTHp6Ov9RosQyAAAgAElEQVT6179EQYGfnx+LFi0iNja2QwxeLS0t6Orq4uvrK/YmKaFH8jN3ZC3R19enX79+zJ49m+nTp2NiYsLdu3extrbusL9TR0dHyB5VVFSQmppKZGSk+Lsi1rjW/vuVK1eipKTE119/jVwup3v37gwZMoR33nmnzX0qKiooKysTyRpNTU307NmTpqYmmpqaANp1hlYk/uuCYUlJSWzfvp1du3ZRUlKCnp4e+fn5ohT7WSF1yOrVqwW1U0xMDMHBwXzxxRcKC1pIA+T7779n6dKlT218y+VyEhISMDExoX///gwePJj6+vpnrl4bNGgQZ8+eZdeuXXz77bdMnjyZMWPGPJZCJT09nfHjxzN48GA6d+5MdnY2AwcO5ODBg6iqqj41haNE5RIcHExVVRULFy5k9OjRTJgwQXyno5P2888/x9jYmG7duuHo6Iizs7PQNpCgKENdchonJiZiampKaWmpqD7U1NRUOFWdBA8PD4KDg5k9ezbq6uo4OTlhZ2cnnMatxczLy8u5du0acrmcvLw8PD09RXWIVNH3qPaVqC5+/fVX1q9fj7u7O97e3owYMYIePXpgYmLy3I1Gc3NzfH192bRpE1evXkVPT4+mpiahiaVIg1+q2hoyZAg9evTgzp07ojpRTU2NTp06MXfuXHR1dfHw8OD+/fukpaWJUnADAwOcnJywtbWlX79+wthXUlKipaUFDw8Pbt68KYJAUsZsR1FQUEB1dTVOTk7Mnj2bDRs2UFhYSHZ2Nlu2bEFXV1ds8ooY49I1DAwMGDNmDA0NDZiZmXHt2jViYmKor68HnhxAkeZceHg4Hh4eZGZmYmhoiKqqKgUFBaKqqqWlhZqaGoyMjARftUTTII03yRBufd2/C9I7qqiooKSkhL+/PxYWFtjb23P06FF69OjBvXv32Llzp5hnz+Ng2l5I8zM+Ph4tLS2Ki4txc3NDJnugs/Ovf/0LeBDUkLKv29OeTU1NfP755+jr69OtWzdBiVhZWYmamprCqCGlQ0F4eDgtLS0MGDAAT09P5HI5RUVF4n7tGQcSlemNGzcwNzdn2rRp3Lt3j3nz5gmn4tOuZ9K4iI+P56uvvuLSpUuUlZWxatUq9u/fz7Bhw55oY9TU1HD9+nWam5sFBVCXLl1wcHDA3t6+Q8/W3NyMtrY2P/30E2lpaYSGhnLq1Cm8vb07RE2TmJjIjz/+iIODA506dcLKygoLCwvs7OyoqKhAWVn5sdpaj3ouVVVVkpKSOHr0KEFBQdja2jJ16lReeOEFrKysntucloIBZ86cEZloBQUF5Ofnk5iYSE1NjZizj7q/9Nndu3c5cOAASUlJvP766yIY+7h53ppWMjY2lvT0dNTV1bGzs6Nr16707du3w2NPumZNTQ05OTlCwF4KcEvJI6mpqX9LIAz+M39SU1PFwXLIkCEP7Q+HDh3il19+wd3dHQMDA/Lz83FxcRHt3x4NyrCwMD777DPc3NxwdXVl4MCBbfQyHwepL/v27Sv6r+b/UXeeAVlca9e+6AiIgAhKRxFQOiJWrNiixt5jOZZjTUxiP1FjNCamaGKi0ViDxt6xBxUFEVA6giDSey9SlPr98Jv9Qmygj+ac9RPmmdmzZ5d732WtsjKCg4O5desWaWlpwkksC7Ro0YJp06bh4eGBr68v7dq1Y/bs2YJPXxZ2lLKyMlu2bMHDwwMfHx/u37/PqFGjhMZgU54hXfvll1+ycOFCtLS0iIuLY+/evZSUlDB79mxqamoanBvqJ15I+jZ79uwR9pKsRNSlb2dtbY21tTWzZs0CICgoCF9fXzw8PFBUVGT8+PFvbKNKv9u1a5egu30ZysrKsLOz49y5c6SkpIhxn5GRIRJE3gWmTJnC/PnzSUlJoW/fvpSWlhITEyN0ohQUFAQljbKyMj///DPwjP48ODgYT09PKisrZarVKK2xN2/epG/fvhQWFnLlyhWcnZ1RVVVlz549L9WKy83NFewAjdEA/Tvi4+NFUlj99Wbo0KHcunWLkJCQJlUwNwZycnKUl5eL7PqjR4/Sv39/Ro4cyejRo2XONvMq/PzzzwQHB5OWlka7du3o06cPvXr1wtTUlLq6OtavX8/IkSM5duwYixcvFrqrUsC2MXuutOdoa2vj5uaGioqKsGskqsTG3quxyMnJwdraWlSBmJqaMn78+AY0Svn5+YSEhDB69GgR5HVzc8Pa2vp/kh4R/m+dVFFREXSWLVu2FJW+vXv3Jioqivj4eFJSUkhNTcXBwQEzM7N38r7y8vIUFxcTFBREamoqlpaW/Otf/6KmpoZHjx4REhIiEno0NDQYPHgw1dXVbN26lcTERCIiIjh37hzbt2/H1dWV9evXy7yNr4I0DhISErh27RolJSX06NGDf//732LcSgkb/6uoT5ttZWUl5syL6BHhWWWLnZ0dUVFRpKWloaKigp6eHv37939O6+ddtTUmJgYvLy+uXLnCoUOHsLKyomfPnqioqNC1a1c0NTWxsLDA1NRU+AwbQ9/XlDZI1TPXrl1j5syZfPDBB2+0V1RXVxMdHY29vT2rVq3C0NCQ4uJiEhISSElJYfTo0WK9fNk4KykpYcuWLbRt2xYzMzPatm2LkZERQ4cORVdXl127dnHgwAF+++23t0pIl8ZEx44dUVJSYtq0aUycOBFjY2O8vb0bxVqgrKzM+PHjefLkCZ06dSI3N5dLly5x+vRpmjVrhqOjo9iT3zfk5J5JchgbG1NaWsrHH39M165dUVVVbfA+ErVjUyn6pTnk6uoq5pyqqqrQS6t/TWMxffp0zMzMCAgIwMvLC0dHRxGkbwpSU1O5f/8+8vLytGrVig4dOjQITMpyjfPz80NHR4dffvlFPPv8+fPExcUJ/6fUD3fu3OHzzz/HzMxMsFXAM1v1n5I9kav7Jz10L0BVVRWPHz8WDujIyEgyMjKoq6tDS0uLpUuXisnZVEgfIzU1lcWLF3P69Gnxv4MHDxIREcG3334rM4dBaWkpy5YtY8eOHcD/VTZIWdUvg7TonDp1iqCgIBISEtDQ0EBLS4vWrVvTr1+/JmXBvwySo+HixYts3ryZ0aNHs2jRopdef//+fdavX4+8vDwdO3bE2toaXV1d2rdvT4sWLYQeRFNx/fp1bt++zd27d5k1a5Y4tMMzGq/27ds3eUPy9/cnLCyM6Oho8vLyRIWYmZkZ5ubmMtHukiCNqx07drB161ZatGhBz5496du3Lz179kRLS0tmhnhkZCQ6Ojro6+uLcVpXV0dERAT5+fnP0QEFBQXRtm3b5zbLNylVfvjwIffu3ePWrVskJCSQkZHB0aNH30mwr6qqilu3buHu7k5ycjImJiY8efKEkJAQiouLcXNza5C1JAv8/RtJFAG1tbU8ePCA2NhYAgICUFVVbWDAp6WlYWRkRGJiojCmQkNDWbNmDa6uri/89qdOncLLy0tQAYwZM6ZJVHLHjh3j7t27zJgxAzs7O0ENk5ycLAw4Y2Pjd+pQ3r59O7///jv9+vVjwYIFWFtbN9qZ8ujRI86fP09SUhIODg7MnDmTbdu2UVRUxOrVq8X4PHjwIH5+fuzYsaPBeyQlJTFv3jyuXLki83drCoKDg/niiy+wsLBg1apVZGdns3DhQkpKSjAzM2Ps2LEMHz4cXV3d/4rD+N8TKVatWoW/vz9WVlaUlZVhbGzM0qVLG2iNvA4pKSkkJCRw9+5dYmJiqKurQ09PT1RISkKwbwNpPHz66acMHDiQDz74QIy16OhoDA0NadGiRaPu4enpSWBgINHR0bRt25bNmzcTEhKCgoKC4IR/GxQVFbF48WLc3NwICAhg1qxZdOvWjeHDh3P06NFGUyUnJCSQkJDAo0ePSElJQVFRkaysLDp06CCCl6+C9L7Xrl2jrq6OjIwMwsLCiI+P5+HDh6xcuVLQWbwOBQUF+Pr6kp6eTkpKCuXl5aipqdG2bVuioqJ4+vQpO3fubNS96mPixIkMHjwYOzs7AgMDuXz5Mp988gkDBgxo8r2aim+++YZBgwYJW6q6uprk5GSUlZUxNjZu1FoWExODh4cHSkpK/Pvf/34tdbX0TbZt20ZaWhqhoaENdFXGjx8vEjIaC6mdP/74I9evXycvLw8zMzPs7e2xs7Nj0KBB71WvUGpPWloaP/30E506dWLgwIFoamoK+1AaP7m5uejo6JCfn//G+jJ5eXlERUURFxcn6ETl5ORwcHDA2dmZHj16vJRKNygoiMuXLzN37lyheQPP1klZ6fPWR21tLRUVFairqzeodJbl3iC9g7KyMhUVFW/97TMzM1m4cGGD81JZWRmzZs3ijz/+eKmj/4MPPuDPP/9k+vTp/Pbbb+jp6bF48WJWrlwpMycWPOvT6OhoIiIikJeXbxAIlVW/fvzxx2zcuBFNTU2h9VZ/bZDGfGhoKL/99htPnjxh0KBB+Pj4YGhoyJdffvnWbXgV/P39OX/+PNHR0WhoaPD55583qGiU+uG7775jwoQJmJmZUVRURFFRUYNvIWsbZc+ePTx9+pT09HQMDAxYtGgRv/zyC82bNxcO9L+fQ1atWsWlS5cEfbG9vT2WlpaNsitzcnL46KOPOHPmDGpqag1oLOXk5Bg5cqRwML4LnDhxglu3bqGiosLmzZtf6Gt4F5DeLzg4mFWrVonKP39/f7Fve3t7ExERwa5du9i2bRvjx4/n+PHj5ObmMnXq1Deypb/++mu8vLxo37497du3p0OHDpiYmGBjYyMz3fX6NFc//vgj5ubmjBw5En19ffT09F6oAxYTE0NgYKDwK3h6er5VxfU/DYlhRldXl+TkZOLj49mwYQNycnK4ubkxffp0NDQ0kJeXx9TUFA0NjXfmVMzPz2fdunUigJKamoq5ubmobn4ZJCYA+L8kbyUlJezs7N47dVppaSkjRoxg8ODBQialtLQUNTU1duzY8Y9S78sCUn8uXbqUwYMH4+7u3oDCvUOHDmhpaREYGIiTkxNKSkpUVVWRnZ0tGDfCw8Pp378/7u7u7zThWbr3unXrqK2tZeXKlSQlJREQEMClS5dQV1dn69at7N27l7t379KhQwcsLS2xsLCgZcuWomLmbSCtHzNnzmTw4MEcPHiQtWvX0rlzZ3bt2sXAgQObZLNERUURERHBoEGD2LVrF9bW1pibm2NiYoKWllaj9tiUlBSOHDlCVVUVZWVlKCgooK2tjbm5uQh2BwcHC9YDWaCgoIDDhw+TmJhIUFAQI0aMYNKkSbRp06ZRY6CsrEzYttJYkjSMx44d+96rLaXvGhYWxpo1a1BXV0dPT4/q6moSEhLIysriww8/xNbWlvLyclJTU1mzZk2Tn1NVVUVISAg6OjoYGho2WhP8RZB0Md8kEag+ysvLWbJkCZWVlYSHh2Nra8uTJ09wdXVl3rx5b9XGF+Hu3bskJyczbty4Rq3nJSUlPHjwgMDAQGGjtGrVCmtra+bPny/TM0Jj8F9XGZaZmUliYiL6+vrMmDGD8vJycnJySElJITg4WDi83sZoT0hIEBQNElxcXPD29pYJB6s04SMjI0lISBAinY1dBKTrTpw4werVq9m0aROurq5ERUXh7+8vAh5NXVikAXr16lUyMzN5/PgxYWFhgkc1JCSkwXV/h4KCAgcOHCA9PZ07d+5w9+5dsrOzBT/0xIkT34hqo3379sTGxpKWlsaRI0c4ceKEoCq6deuWCIQ15bt069ZNZBc/ffqUS5cusXfvXh49eoSdnR0nTpxocjtfBqlN8+fPZ+rUqYSEhODj48Mff/zB0qVLOXXq1As1DN4EAQEBuLm5cf78efz8/BgwYACdOnXCzs7uhWPB19eXNm3a8NVXXxEfH8+QIUPo06dPk7IfysvLKS0tFXoRU6ZMoaysjOjoaJnSP9ZHcnIy+fn5FBQU8PPPP2NlZYWZmRmWlpbY2dm9k0xLaXz5+Phw/fp14uPjKS4upl+/fsybNw8bGxu0tbXx9fUV19bU1DB37lwuXrwoaEOlDMu/5xkkJyezbt06BgwYgJqaGhoaGty8eZOsrKxGZ7JLkLK4JH2ZefPmiYwMKfv6XQRfpDVHXl6ejz/+mI8//rhBJmhj16N27dqhoaFBXFwceXl5XLhwQYwt+L85NXjwYLy9vXF2dsbNzQ0XFxfy8/MJDQ0Vffa+D1JSv8bExHD8+HGcnZ3x8vJi1apVjB8/npEjR7JkyRLS09MbHMD/qUBY/cqRGzdu8PDhQ0EH9+2333Lnzh1ycnKorq5+I20zSeB17ty5tGjRgvv37xMeHo6fnx+5ubmCruVt3l/6vvHx8Q32A3iWMPHZZ5+9Nhgm4datW8yYMYPg4GBRkn/p0iWaNWuGg4PDWxnsUtLOv/71L06cOIGNjQ3dunXj5s2baGpqioPCy+5fv5/atm0r+L29vb3x8PCgqKhIVEO+btxL//vmm29QVVVl0aJFDBgwABMTE/r27dskO0JHR6cBDaJ0WL5//z4lJSVCx6KxfSRl5lZVVYmAXKdOnXB1deWXX36hT58+MnOmvQyTJk3i+++/Jzc3FycnJ/T19RtQKzVmDFhbW/Ptt9+yZcsWJk2axL/+9S+mTp360rZL9/T19eXgwYOsWLGCIUOGUF1dzR9//CHWi6aMQXl5eSorKzlz5gy3b9+mvLwcf39/fHx82Lp1K05OTqIq4H2sQVK7w8LCiIiIIDExUWSQGxkZUVlZiY+PD4sXL+b69et06dIFExOTN36erq6u0OSrq6sjMjKSrKwsduzYgYeHB7///rv439/f/+LFi0I7p7a2lt27d3P06FF0dXWZPHmyTHSe6tNUBwYGkpubi5GREe3atUNPTw9nZ+e3PvhKa0FERAT37t3jypUr6Ovr4+TkhKurq6DjfJPvX1xcjL6+PklJSeKAGhMTg6KiIqqqqs9pZ0n0eCYmJigrK6OiooKxsTE1NTWkpqbKzCldPwB14MABsrOzad68ORMnTuTBgwdUVFS8FcVl/Yz1nJwcrl+/zqhRo144t6Ux7+TkxEcffcRff/1FcnIyH374oai0fpeof955EeTk5CgoKMDb25sVK1aQlJTE4sWLMTExYcKECYKSVNbrw7Bhw/j6669p3rw5kydPpq6uDl9fXzZu3Ag8v8ZWVlYyatQo3NzciI2NJSgoiBs3bqCmpsaWLVte+7yMjAyKior46KOPMDU1xdXVFScnJ9q3b09OTg4qKirvLBAGz3TIe/bsKc5XPj4+gnnjfTgCCwsLmTBhAqamptTW1mJvb8/cuXOF/EN0dDSdO3fGy8tLJDFKSUGNbaM0xyMiIggODubQoUNEREQQEhLCmTNnqK2txcPDQ2bvVF/aoWvXruTk5HDq1CmaN2+Ouro6I0aMEOfQ1NRUSktL0dTUZPr06UyfPl04aP8XIZ2tzp8/T1FREf/+978xMDCgffv2REdHU15eTn5+Pjt27KBbt244ODi8s/OQdN9Lly6hpaXFr7/+SlFREQ8fPmTHjh2cO3eOESNGvHAMXblyhYMHD5KWloaTkxOTJ09u4MR/X+e3+nT/jo6OLFu2jKKiIsrKysjMzCQ1NfV/PhAG/9efEydOZN++ffTq1QtlZWV27drFzZs32b59O48fP+bnn3/myJEjwDM6Xzc3N4yNjamqqmLUqFHiO77LdUu6d9u2bYU2VceOHenYsSMzZ86kqqoKeXl5Bg8eTLdu3QgJCeH27dtcvnwZOTk5Nm/e/Nb2kyTd8PjxY8aPH8+RI0dEYuTZs2efo5V/HaysrDAxMSEzM5OioiJu376Nt7c32traaGlpCWaTV8HExITly5eTlZVFYmIiSUlJZGVlERISwpUrVxg8eHCDwoE3QWxsLOfOneOzzz4jLi6Ojh07smjRIhG4rh/AftUYkObVpk2bqK6uxs7OTmin1pexeN/VlpI907JlS0aPHk1CQgLx8fGoqqpiYWHBwIEDefr0KUeOHOHhw4cioN+YfVC6Jjw8nAMHDlBQUEB5eTmtWrVCV1cXS0vLRuvM1S/UuXjxIidPnkROTo4OHTowZMgQevXq1eg9TGrXnTt30NbWZsmSJXz++eesXr2aDRs2kJ6eLvNAGDwLpO7YsYP09HQGDhwogoIvspfz8vJIT09HXV2dTz75hE8++YTs7GxCQ0O5ePEiJSUlDd7lfeC/Khjm4+ODh4cHUVFR1NTUMHDgQDZu3IiZmRlmZmZCdBvezGivX864d+9eFi5cyKhRo1BXV+f69evCoGoKp/6LIH08JSUlTE1N2bt3L8eOHcPMzAwrKyuR1fSqdpaUlFBXV4etrS0lJSXMnTsXgLlz576x6L30TsnJyYSEhNC1a1cmTJhAXl4eI0eOFPd9Wd8uWLCA8+fP065dO9q1a8fUqVOprKwkKiqKmzdvikqdph66TUxMGDBgAE+fPmXy5MmEhYURFRXFuXPncHZ2pn379q9s14uQmJhIbGws+fn5XLhwAVNTU9q2bYuFhYVwojeGgud1CA8PJzAwkClTphAcHEyXLl3o1auXqIaoL0AqC8yZMwd4RldXU1PDjRs38PDwoEWLFrRp04a1a9c2eJ5UQTBu3Di8vLy4ePEi27ZtQ1NTE3Nzc7799tuXOpEl4/fMmTOEhYXxww8/8ODBA27evCkcl++qsNTCwgIzMzNKS0uxsbEhKyuLmJgYrl27hrKyMn379pV59YA0n3bu3MnAgQOZNGkSlZWV7NmzhzNnzjB+/Hh69OiBo6Mj8fHx/Pnnn6SkpDznyIuJieG3334TwSlp3GZnZ/PgwQOSkpKYPHky8+fP56OPPqKgoKDJGhodO3Zk/fr1LF++nIMHD3Ls2DEiIyOZMGGC2OjeFUWGBGl8vElWlpycHHPmzKFz587k5eVRXl5Oz549RQWj9JxWrVqxb98+/Pz88Pb25uzZs1haWrJ8+XJBy/ZP0VlkZWVhYGDA4sWLWbZsGYcPH+avv/7C1taWioqK/5pMVGk9XrlyJebm5hw7doyysjLk5eVp3bo1mzdvFrqU9SleG4ONGzcSExMjhNdXr16Nra0ttra2TJkyherqapm9R3Z2tkjacHZ2FhUVKSkpjQrKS/tfVlYWFhYWbNmyhdWrVwPP9kSJZuttIM25bt26YWtrK2hkKysrhWP9VWumlN3t6+tLZGQkWlpaPHjwgN69e7Ny5UoMDAywtbUFGj/ud+7cyf79+/Hw8GD27NnPVZU15j5ZWVmcOnWKx48fo6ioSMeOHenbty9DhgyhtLS0SdUnUh+VlJRgaGjY4MCloqKCoqLiOwuE1adD2bBhAyoqKly9ehVPT080NDSwtbV9pbCw9PvHjx9TUlLCnTt3qK2txcnJidDQUH7//XfB0f4iSE5pSTQ+MTFRaAecPHlSVJY1dU0rKSlhwoQJyMnJoa6ujru7O+7u7s89+30gMzMTdXV1hg0bRq9evbh//z7+/v5cvXqV5ORk1qxZw8yZM8nOzmbv3r3s27cPbW1tnJ2dcXR0pFOnTo2mDq6treXJkyfU1dVx6dIl8vLySEhIELoqlpaWovLvRe8fExMjDqynTp3i7t27LF++nKdPn3L16tW3DtQBYm/fu3cvy5cvZ9WqVVhYWLBr1y4sLS0FlcrbQHq3rVu3MmTIEFRVVdHR0eHixYv88MMPbNiwgXHjxr1RQMza2hobGxsmTJhA586dsbS05NGjR/Tu3RtoeF6S7v3kyRMcHBz466+/REDq2rVrmJqaNqA6fhtI6+iVK1dEpXBoaCjwrFLq0aNHODs7v3EQUGpfaWkp5eXlrF+/nl9//ZVu3brRo0cP3N3dUVJSEvdesWIFK1asoHfv3vTu3bvBuvaucO3aNXbs2IGioiJ2dnb06NEDBweHBkwQUl/7+PjQuXNn6urqOHXqFIMHD0ZPT4+DBw82Wp+vqWjdujU//vijSF6TKNwsLS2BhnOyrq4OZWVlnJ2dUVRU5IMPPqCsrIyIiAhR7fi6b+no6Mjdu3eJiIjAx8eHy5cvs2fPHvT09Hjy5Il47rtAZmYmN27cQElJCXt7e6ytrZkyZQrl5eXAu7VTpT4xMjLi8uXL3Lt3rwEdkuTgHz58OBs3bmTXrl3MmTOHnJwcTpw4Ib5/U85zkt60kZERRkZGIkkpIyND3EuWe0737t3p3r07VVVVJCYmEh0dTVBQkBhb586d48qVK0RERNCyZUv09PT4+OOPZVLt/08hJiaGrKwsPD09hZ1QVlYmZDMUFBRo164dCQkJhIeH4+HhQXJyMsOGDXttpVZTIY3f5ORkQWOqpaWFq6uroEysj/qJET/99BPr1q1DTU0NT09PfvzxR77//vv3nv0vjUdNTU2xFmhpaaGlpYWhoaFMGYP+KYSGhlJTU4OLiwsuLi6EhIRw4MABwsPDUVJSYvny5Whra+Pl5SX2idDQUE6cOCESNyorK7l06ZJMkoEag+LiYrZv346NjQ2rVq0SPj+JTj0gIIDDhw/zyy+/iOBKbm4ukZGRbx0Ik8ZpYmIiNjY23Lp1S+jRp6Wl0bx5c/T09Jq0nikqKgrNtU2bNlFWVkZ8fDxRUVEEBQWJ/ex1kJOTo02bNrRp04bu3btTWVlJRUUF4eHhb5Q493e0atWKoUOH8ujRI8aMGYOBgQE2Njb07duXbt260bp160a9t5ycHKWlpdTU1BAZGQk88+dXV1djY2PDwIEDZVYQ8CYwNjYW2vOlpaVERkbi5eVFnz59sLGxoby8nISEhNcye9SHtFeePn2aHj16kJiYSF5eHkZGRnh6egrN1sYG1hQUFDh+/DjNmjVjzJgxxMbGoqCgwGeffUavXr3YtWtXk8agr68vPXr04OrVq9jb22NhYcHo0aNJT09vdLteh/qJ4Tt27GD48OGEh4dz4cIF1NTUsLGx4ZtvvmnQ5tjYWH766SdCQkIwMjLC3t6e//znP+jr6zN48GAGDx4srn2fvr3/qmDYuXPn6N+/P5C3XG0AACAASURBVHv37iU+Pp6ffvqJ8PBwYcy8bSmshODgYL777jtOnTqFj48PYWFhuLu7i6oEWX0AJycndu3aRV5eHnFxcTx48ABfX19cXFzQ19d/5cBOSkrC1taWjIwMWrRoQXZ2NhUVFeTm5qKtrf1W7aovLPwivOj9IyMjMTMzey5rRllZGScnpwYH+qYYwFLmU1hYGD179kRfX59+/frRv39/qqurm1wBVFVVxfjx41FTU6O0tBQXFxcWLVqEiorKc9zHsqDDbNWqFYMGDeLhw4ds3LgRLS0t9PT06NSpEy4uLtja2sr8UJCdnY2XlxcLFy4Enr3zvXv3uHv3LlpaWs9dL1FbScZxQUEBYWFhhIeHN6qawt/fn0mTJlFYWIiHhwcxMTHcvXtXUE++C9TV1QkKz5kzZyIvL092djYxMTGEh4cLCiNZZw4kJydTXl7egD5s9uzZfPfdd4wdO1boLigpKdGnTx9h6PTs2ZP27dvj7u5OUlKSCEjWz9Lr3Lkzhw4d4vbt2+Tm5pKeni6Cpk3hKC8vLycvL4+qqiratm3L5MmTOXLkCB4eHmzbto0FCxbIxLEvQRq/8fHxmJqainnT1IQB6T6PHz/m3LlzJCcnC8rSv4+j+Ph4Tpw4wZIlS4Tmxst0N953xZVkuFy6dInMzEz8/f3p1q0bCxcuxNvbm61bt3LgwAFGjx7NjBkz3orPWxaQl5enoqKC9PR0hg4diry8PC1atKB9+/Y8ffpUrBm//vorw4YNa3QwrKCggICAADZv3kxVVRWHDh3iwIEDrFixAiUlJTGHQTbfSDKWfv31VyZOnIiqqqrQIYHGrwVTpkzhyy+/JCMjg3bt2nHv3j1yc3OF8+ht15OTJ08SEBBAVVWVyIDv0qWL2DtfNW/i4uKYMmUKVlZWODo64ubmxubNm1947av6VJprBQUFtGjRgm+//ZbQ0FAOHjzI3bt3mT17dqOTNEJCQjh+/DixsbHY2NigqKjI2bNn8fPz4/PPP29S8LR+++zs7FBSUmLEiBG4u7vTrFkzkpKSGjjx3hX8/Pzo2bMn8+bN49GjR2RnZxMXFyec1y8bS9Lfdu/ezYULF+jXrx9ZWVnIy8szZswYMddfl509d+5cysrKMDExYffu3TRv3pyioiKhl9jY+SK1s7S0lNTUVNauXcvYsWPR1tZGU1MTTU3N97o+FhQUsHr1amxsbARtlouLi3BgpKWl0bJlS5o1a0Z8fLzQiQ0ICMDX15evv/6aOXPmMG3atEb1w/Xr19m2bRvKysr07NmT4uJihg8fzqJFi1BXV39lUK24uJja2lrheDl79iwffPCBoKk8ePDgWyf7SN/n3r17WFpa0rlzZ0xMTFi5ciXdunXD09Pzjekh60NeXp6qqiry8/MZO3Yshw8f5tNPP+Xhw4fcvHnzucBoY5CXl4eOjg7y8vIsWrSIvn37cuXKFR49esTUqVPFuezv86SmpgYnJycuXbrEzp076datGzt27CAmJkZUycgiiUqaXykpKUybNo2ffvpJ6AzHxcWJzOu3TW50cXHh/PnzFBYWEhoair+/P19//TUVFRWMHj2auro6oqOjycjIQEdHRwTBioqKuH79epOr/huL1NRUfvvtN7788ksWLFiAvr4+CxYsQFtbmxs3boizk/R9mjdvzuPHj/nqq69QUlJiyZIleHp6YmhoCMiuwl66j6+vL2FhYZw8eZLPPvuMkSNHoqWlJRJQ6kOaJ7du3RK0+Xp6ekyaNIkRI0aI8dLYtcze3h57e3sWLVpEZWUlgYGB3Lx5U+YJdNIalZ6ezty5c3F2dqasrIxTp04hJyeHhYXFS7XRZI0nT57w22+/kZqayvTp09HU1KRr16706dOHESNGUFVVRVBQEGPGjEFeXp4TJ07wxx9/sHDhQoYMGQI0zvaR3jk7O5v79+9z48YNbG1t0dDQQE1NDQMDA5mdeetrbN67d4/8/Hw0NTVp164dgwYNalCx8fvvv7N69Wq6d+9OVlYW+/fv5+TJk1haWr5XmmBZ4smTJ5w/f57w8HBUVVXJzs6mXbt2WFhYsHXrVjZt2kSHDh2wsrKif//+FBcXk5KSIuwQWfoe5OTkRHXe/v370dXVxdraWsyv+fPnN7heenZ0dDQjRowQlasODg788ssv7N27lw0bNvwj9PGFhYWcPHmSM2fOMHToUPr06YOdnZ1MmKH+afj6+nLgwAHU1NRwdHSkoKCAxMREfvjhB2GH1dTUEBAQINbDmzdvNkje9Pb2xs/Pj3Hjxr2X6gwlJSWmTp1KQEAAI0eOpHnz5jg4ODBmzBgGDhxIYmLic3IcrVq1ol+/fm/9vaTf2tjYEBkZydatW3Fzc+PevXscO3bsje0Iib45IyMDFRUVzP6/bMKkSZNea/9ICZSqqqrk5+eTmJiIrq4umZmZxMbGoqSkJBIY3ubb6OjooKOjQ05Ojkggun37NidPnmTVqlUsXbqU2bNnv/Ie9en4pYBOfn4+kZGRHDlyhOzsbPbv38/y5ctlYus2FWVlZVy4cIGQkBBUVFT49NNPiYyMxNPTk5SUFPbs2UNVVVUD6aHG9Gl9XeSlS5fyxRdfMGfOHOzs7EhMTBSBtcaMzfpsGj/++CObN29mzJgxuLm5YWJiwqBBg4DGjUHpXi4uLjg6OuLt7S306k6cONHoarXGQJp7ISEh9OrVSyTa1tTU4O/vT1JS0nPJb2fOnMHa2pqdO3cSGBjI7t27CQsLkynd55vgvyoYlpqayhdffAE8o9EqKSkRNEZvuyBLHy0yMpLvvvuO8+fPM3HiRAoLC1m1alUDY0lWG2FiYiLXrl2je/fugsaiPoXOq55jb29Px44dRYbH4sWLUVRUFDSETT24SO9fWlpKUFAQGRkZQoPMwMCAFi1avNJgvHXrFtXV1Tx69AgFBQV0dXVRV1d/600yNjaWgoIC9u3bx6pVqwBE/5w+fRpHR8cmZfPFx8eTlJSEkZEREydOpE2bNhgZGdGyZUuZ6Cf8HQYGBsAzR62UlRUeHk5kZCQHDx7k008/Zfjw4TIxsPLy8lBRUcHHx4fk5GTxd4l329jYuIHuVEFBAWpqapw+fbrB33V0dLCxsWlACfUi1K+ksLa2FvSVmzZtYs6cOTx9+hSQfQZgTU0NVVVVqKqqsn//fhGk1tfXR19fH1NTU2G4ydpIq6ioQEtLi9u3b+Pk5IS6ujrq6urU1NSgrKws5p2GhgZ9+vTh/PnzLF++nKKiInx8fLh06RK6urp8+umnQMM5npSURHFxMWZmZsjLy/P777/j4eHBzz//3CT9s//85z8kJSWhp6dHeno6HTp0wMbGht69e3Ps2DGRmSkr54b0DuvWrWPnzp1vHESWNvKvvvpKVJRFRkaya9cuZs2a1YBqrWXLlgwYMIAHDx4wfvx4dHV1cXZ2xt3dnT59+rwTPZfGQurTli1bcu3aNWbMmIGamhra2tr07duXadOmsW/fPnbt2sWECRP+sXZCQ2PFysqKNm3aoKKiQkVFBTo6OoSHh7N582ZB/7lixYpG39vf3x8bGxuxPs+ePZsNGzagrKwsk6pbCRJNhoKCAu7u7hQVFbFr1y4UFRUZPXq0qFB4FaR+ePToEcbGxjRv3hxFRUUhrj5v3jwUFBTe2M6oz03+119/0bNnT86cOYOGhgaPHj3i6tWrInnhVVBQUGDixIk8fvwYJSUlAgMDSUhIwMTEhFatWmFubt6k4OqlS5cICAggOjqa9u3bCx0+Q0NDZsyY0aj33b9/Py4uLmzatAl4pomWmJjIhg0b2L59O2vXrm3yHiAnJ4eCggKbN2/m6tWrQu9p6NChb+S4b8pz4ZmTqX///qirqwunfmPpPOrq6vj888+ZP39+A3uifh+8at3V0dERh5sJEybg4eGBlpaWyMJtyqFbet4333xDXV0daWlpbNmyRWTGT5s2rcmC0G8DFRUVxowZg5+fH1euXKGgoIAuXbrQrl07bG1t6dChg+iz5cuXc+TIETQ1NRk4cKDIfK+trW30865du0ZKSgr6+vpUVlYyadIkTE1NG5U4p66uTpcuXejfvz+WlpaUlZUJKtCcnByUlZXfurpXGkcPHjzA0dGRwMBAkclcn15YFg6n6OhoOnToQH5+PsrKyujo6NC1a1e+/fZbVq5cCTT+bBMeHs6cOXPo2rUrTk5OdOrUSVSI/R3SPaUqYGndX7t2La6urkRGRhIZGcn06dNFoFuWtFhDhw7lwoULPHz4kH79+hETE0NsbKw4mL/ts9LT07l//77Qa+7Xrx9ffPEFNTU1Ionpzp07Yh2RHF2RkZHcuXNH5sEwya67ffu2yOTv3r07P/zwA3/++ScVFRXP0VcC9OnTh4iICNLS0vj888+BZ9qzkrNLVjZ8/YSBadOmYWhoKNagnTt3MmzYMFHVX/83lZWVbNy4kRkzZjBlyhSCgoI4c+YMenp6r6SAfB2UlZVxc3N7J3SVUh/fu3cPOzs71q9fT35+PoWFhcTHx5ObmytzTcCXteHOnTvk5+dz5swZAKGV5eHhwciRI7l79y4nT57k119/pUOHDuJ39SmTGuu4q6urIzk5mYqKCvbv34+xsTFWVlaYmprSvXt3mSUuS3vhsWPHuHr1Kq1atUJDQ4Pr16+jpKRE9+7d6du3LxoaGri4uNC1a1fgWUXiqlWr6NOnD2VlZf+zwTCJ5vPIkSOYmpri7+/PxYsXUVJS4oMPPhAORHl5eVRVVVFVVW2Q5CSrMSeNFTk5Odzd3cnIyODEiRM0b96cnJwcnJycRN//fR+LiYlBQUGhwXn06dOnoiqsurr6nVfQ1kdqaiorV65k/fr15OTkEBAQwJkzZygrK8Pb2/udUIi9T0i0Y1J17IMHD1BRUeGrr77C3Nycr776Cn19ff766y9xdouNjWXZsmXiHnfu3Hkv9L4S1NTUWLRoEYsWLQKeabkePXqUqKgoBg4cyMOHD/Hy8qK6upo+ffpgYWEhs0TLoqIitLS0UFFRwc3NjZSUFG7cuEFsbCw9evRoUqIANKSp++6771BXV8fQ0BAFBQU0NTXp0KGDkNJ4Gby8vDh27Bg5OTno6+ujpqaGl5cXHTp0EPpWU6ZMkdm+snXrVtasWSOqCeFZ0r00F171HOnvwcHBdOjQATU1NdTU1DA2NiY9PZ26ujpycnI4f/68TJO0X4f6skBhYWEoKipSWloqtFWHDBki6PiuXLlCWlqa8Ns1BnJycpSXlwvJpaqqKrKysrCxseHhw4fCv9qY7yMnJ8fTp0/R0dFBW1ubrKws8ftr166J8dIUW1ZK6hs9ejT/+c9/+P7779HX1xfzWpa+UyUlJZ4+fUpqaiq6uro0a9aMnj170rNnz+cS/aOjo4Vt3qVLF44fP05eXh4gG7a2N8V/TTAsKSmJiIgIzp07h729PYaGhpSWloqsb1mV86WlpYkIsK6ubqPpWBoLaQKePXuWyMhIvL29iYuLY/Pmzdy7dw8dHZ3XBiHgWfR08ODBNGvWjFmzZgmavzelSJSMyt27d5OXl8eNGzfEAUVXV5fp06e/tPICnmlVlZeXs3HjRpo1a4a5uTmWlpaYm5sLx0tTDZqqqirS0tI4e/Ysqamp3Llzh4SEBAwNDdHX12fnzp0cO3asSfe0trbG09OTkJAQ4ZCRl5fH2NgYExMTunfvLmimZAlVVVUUFBTo0qWLCFimpqbKtCokOTmZffv2ERgYiIODA9evX8fS0hJjY2OOHDlCRUUFixcvFptxfHw83t7eQow6JCQEXV1dTExMOH78OGZmZq/VEqmsrKRXr16MGzeOZs2a8eeff1JSUkJubq6gFJD1IS8rK4t169YJx1FQUBDW1tZoaGiQlZXFzJkzuXHjhkyfKcHa2prBgwdz+PBhUc1ZWFjIhx9+KK6R+is2NpbS0lIRpLOyshI0lhKkeRodHc3q1atxdnYmOzub6OhoWrRogZKSUpMCYfBsA3n69CkDBw5k0KBBFBcXU1xczIgRI/j000+bnEXbGGRmZooA+JtC2sjv378v+L7hmdNo27ZtDBkyRKzHWlpaYp2OiYnh3r17XLp0ie3bt7N8+XI+/vjjRgUXZA3p2+fn5zN48GCuXr1K7969sbGx4caNG1y4cAF7e3vWrl0raOD+SdTU1KCoqIiKigqDBg1CQ0NDVDAWFhaSlpZGjx49KCoqYtmyZWhoaDTawJboiA4dOoSjoyNeXl5iTZCVQVNUVMSBAweYMmUKLVu2RFtbmzlz5jB9+vTnHC6N4TTfsmULn3zyCWvWrCE7O5vKykoUFRXFXvimdoa0v/r7++Pu7o65uTnR0dHAM0d4RESEuO5Vz2jbti3r1q2joKCAqKgoYmNjSUlJITY2lvLycsaNGye0vl4FOTk5qqqqKC8vZ+HChejo6BAfH09tbS3Lli0TumON+c5JSUkiEFZbW4uWlhZOTk5s2rSJbdu2kZaW1mh6iaCgIC5fvsyCBQto2bIlNTU1dO/eHVNTU3EQfpeQk5PjyZMn3Lp1i9OnTzNu3Djc3NxwdHRstFZETU0NcXFxHD16FFNTU6ZNmyaCe41BZWUlISEhtGrVih49emBra9ugQrspBx5J60CiUoJnSVjBwcEEBga+d8eOuro6H3zwATk5OZiammJnZ0daWhqnTp1iz549fPrpp1RWVhITEwM0ZHuorq5m0aJF7Ny5U7zb67BixQomT55MUlISwcHBfPnllzx58gQjIyOsrKz417/+9dI+UFRUZOHChRgYGJCfn8+8efPQ0NCgpqaGU6dOyZTCafTo0dTW1lJUVIS8vDwbN24kODhYBEpkUSllYWHBzJkzUVBQQE9Pj7lz56KrqyvODI1Njqmrq8PBwYEDBw7g5+fH7du3OXToEKqqqtjY2ODg4ECfPn1EIpiEmzdvsmjRIuzs7BgwYAC9e/d+jvbkXWDYsGEsWbKEpKQk+vfvj4WFBaNGjXqrLOT6FX2enp5cv34de3t7du7cSVxcHOrq6g3eX09Pj/DwcJKTk0UA1d/f/7lsdllA+obp6en06dOH4OBg8a6FhYUvdPyXlpZy//59Fi1aJM5plZWVuLu7i3OfrJwj0ppUUVGBu7s727dvF8whN2/efI6Gtr4Glb29vdAWs7KyQk1Njd9+++2tgmHvA7m5uSJTv2XLlrRs2RJzc3MR2H+XlSb17TWp0qO2thZXV1dcXV1FQnFGRoawz+qviW+SNCcnJ8eGDRuoqakhKiqKkJAQgoOD8fPzo0+fPjJ4q2eQxqS3tzdbtmzB1NSUjIwMHj58SFBQEImJiSxbtoy2bdtSU1PDr7/+KhhQIiIiBFX1/2K1z6FDh8jJyWHw4MHi/C0lfuXk5DzH6vIuzn0Srl+/TmxsLLa2tlhYWDBt2jQGDRpEcnIyBgYGL7T/pKDpkydPuHz5Mn5+ftja2qKmpkZxcbEIwr+vQFh9H+DYsWNF8s1HH31EeXk5qampqKmp/U+OFQmpqakEBwfj5uYmqmPh2fofEhKCr68vOjo6Qpbg6tWrHD16lJiYGJycnCgvL8fOzo7U1FQ++eQT4P1QlT1+/BhPT0+srKxEQKY+k5OzszNKSkrExsYSHh6OsrIyurq6LFu27K3049PS0ti/fz+Wlpa0adMGa2tr1qxZQ1VVFWVlZQ2YlprK1uDt7c2MGTMYM2YMiYmJxMTEEBoaKpKGXjXO/Pz8ePjwIcuWLcPCwgIbGxu++uorNDU1G9Dcv804LS0tJTQ0lIcPH/LgwYPn+vHs2bNCnudVz5HGh4ODA56enhgZGdG+fXtUVVXx8fHhq6++4vjx4y9krXqXkNrs5+fHnDlz8Pf3FxVLOjo6PHjwgFGjRlFbW0tSUpI4izRmP5S+naKiIps2bUJOTo5Ro0YJSSRJN6wpa4mKigorV66krq6Ofv36MXHiRNzc3FBVVW30+VoaexcvXuTcuXPMnTsXBwcHVq9eTVxcHJ06dZJZogr837f39PQkJyeHx48f4+joKOIC5ubmDdaP0tJSEhISiI2NpbKyEhMTE+Lj40US9j8VCIP/omBYq1atWLNmDf7+/hw+fJiamhoqKys5f/485ubmtGvX7q2ye6QBmZycjJeXFwUFBbi5udG2bdsmZ1s35jnXr19nzpw5aGhoCEfb5cuXMTExoV27dq+cJGVlZVy+fJnNmzczdOhQJk6c+JyAY1MXQWly+/r6cvLkSUpKSpg8ebLQbZCc3C9qV0VFBaWlpZw9e5a8vDyCgoIICQnB09NTVMxs2LChydpYSkpKDBkyBH19fezs7NDS0hKGtYqKCq6urrRq1arJxomxsTHGxsaMGDGC6upq7t+/T0hICD4+PhgZGcmMulBaeB49esTJkyd58OABNTU1gg6nS5cuol9lYVzZ2tqyZMkSZs2aRdu2bUVEXUFBgeLiYn744YcGzzIyMsLc3Jzq6moqKys5duwYioqKaGhocPHiRQ4cOPDK50kc/p988glDhw5FS0sLbW1trl69irGxscy0H/4OQ0NDdu/ezRdffEFycjKff/45eXl5mP1/7UDJGfwuhILnzZvHN998g5qaGjExMVhYWGBnZycO81L1iJycHFlZWY3epBQUFFi3bh36+vq0atUKeXl5iouLxQGmKeNxwoQJtG3blpMnT7J3714GDx7M0KFD0dbWbnAPWXwXqY+DgoKE4Vhfl6yxkMZJdna2OERJzkYbGxuioqJemZjQuXNnkVX+5MkTysrKGtz3fePu3btcvXqVlStX4u3tjaenJ8OGDWPz5s20adNGfM9/qn0SFi9eTNu2benVqxdmZma0adOGtLQ01q1bh5ubG8uXL6dz587k5uaKioXGjsMBAwZgZGREYmIi9+7dIywsDCsrKzw9PTE2NsbR0fGt172bN28SFRUlqPiuXbvGgQMHqK6uZsCAAYIH/HWQdHtatGghxpkstRyldaigoAAXFxdOnz4tKLvCw8NF1VFj6DHk5eXR0dFpkM2enp5OaGgoVlZW4j4v61uJpis+Pp7KykqRhS+9b/2KlNd9n/DwcIyMjMQ+JtGxAVhaWhIXF9ekhKKLFy/SunVrWrZsSW1tLTt27ODkyZPo6ekxYcKE12ZMygJ1dXWsXbuWqKgoYmJi+PnnnykpKcHZ2fmVlFbSt7l27ZqgBAkJCWHmzJncvn0beXn5BtVlf3+mnJwcmZmZbNy4kZqaGgoLC1FUVMTW1hZ7e3uhudKU95Du2b59e9LS0mjTpg3m5uaYm5szduzYJt1PFpD66NSpU2zbtk0EBsaNG8d//vMfOnToIOyPiooKxo8fT4sWLejUqRNPnjxp0oEU/o/mxcbGhv79+1NUVER6ejpRUVFER0e/1lGioqLyXOVOfn4+zZo1Y/z48W/YCw1RXV3NX3/9xdixY9HS0mLQoEEEBwezePFikdkvCzvm+vXrDBgwgGbNmrFo0SIOHjyIvr6+yGxu7FosXWdtbY21tbXI5g0KCsLX1xcPDw8UFRUZP368+N51dXW4u7sTFBTE9u3b2blzJ1u2bKFZs2Z07dqVHj16MGzYMJk5RKTn7tu3DysrK3766SfKy8sJDw9HS0vrucqjpkJapy9cuECvXr2wt7cnLS0NgPPnz/P06VNWrVol5uCHH35ISEgIP/30E506dSI8PJySkpJX6g++CWpqati9ezfz5s1j2LBhaGtro6yszNatW9m/fz/e3t4sXbpUvIP0LcPDw9mzZw/GxsaCXcHc3JwJEybI1DkiISsrC1tbWy5duiT0V1JSUlBXV39OIqB+1XZZWVkDneUWLVqIxI36+9Z/CyTbzt/fn6CgIPz9/enbty8uLi60aNFC5ueTV7XBw8NDjFF3d3d0dHRQUVERbQgMDOTSpUsiK97Z2RkdHZ03amNlZSVZWVmoq6tjaWmJvb09M2bMkDlbiHSPqVOnkp6ejomJCQYGBhgYGIig29ixY4mNjcXb25sTJ06wf/9+WrZsiYKCAgsWLJBpe94nVFRUCAwM5OzZs6ioqNCxY0e6detG9+7dMTY2FkFOePfnoJycHDIzM0lPT+fKlSvo6OhgaWmJlZWVYJ15UR/X1dWxcuVKFi1aREREBEFBQdy9exc1NTUWL16Mvb29WK/eNaTEwODgYPLz88nMzBS+OTU1NWFb/6+Nk/pITEzkzz//5PDhwzRv3hxbW1u6du2Ks7NzAy17JSUlVq9eTUlJCenp6URHRxMdHY2Pj4/Q8JbW3XeF+hSzmzdvprq6mg0bNiAvL4+trS3du3dn8eLFFBUVMXz4cIYPH86TJ0+IjY0lJiaG4uLitwqEwTPJidraWsLCwvD396dZs2bo6+vTrl07wSrV1H44ffo0rVu3prq6WpxbJZt8yJAhjQpaS76i/fv3M3LkSDp06EBoaCjffPMNIBvfl0Stfvz4cRQVFfnll1/Q1NTEwcGBuLg4wsPDgcavnWPHjiU3N5fDhw+jra1Neno6+vr6tGnTBl9f39fSLcoa0npYW1tLXV0dN27cYO3ateTk5BAWFsaTJ09Eknt4eLhYhxqzjkr94eHhgaurKw4ODvTo0QNFRUXU1dVFwUVT9p0TJ07QqVMnVFRUmDRpEgoKCjx+/FjY341Z4yVb3MXFhfDwcM6cOUNycjKjR4+WeeFPfUg06AEBAfj4+HDmzBkMDAzYsmVLg+tqa2sZP348fn5+XLhwASUlJUpLSwkPD6dly5aiEOafgFydLFIS3wFiYmLw9fXl9u3bREREsGjRojcusaw/ICMiIkhMTCQuLo7CwkJqamqoqalh1apVMq3iGTt2LCdPnmTq1Kls2rQJQ0NDpk6dymefffZKUef6Az4+Ph5fX19KS0vp1q0bnTp1eiujLjs7m/nz53P06FHGjBnD+fPnAViwYAHff//9SzOjJc0QKTu8PuLj4wkLC3sjJ5b0rvfv30dBQUFQN2RkZPD0j84woAAAIABJREFU6VOMjY2F9kxT3rmuro6amhrk5eWfWzxkaRRLG9LXX39NTk4O06ZNo6ioiMjISAIDA3F2dmb58uUyN8Slsu7y8nJSUlJITk5GVVX1pXRhcXFx6OvrExcXR0JCAqWlpRgbGzeKjqqgoEAYHsrKyjg6OlJbW0t1dTVt2rR5p0Z4VlaWMEQKCwu5du2aqIjS09OT2bPri0B+99137N+/X/zvRWW70nN/+OEHrl27xvDhw8Xhs3nz5g2C9iUlJWhqajJp0iQ2bdrUoBIvOztbODPeFNnZ2fj7+1NYWIiTkxOOjo7v5OB3+vRpzp49S2ZmJpqamtjb22NjY8OgQYMaVdkmtWnHjh1s3bqV9u3bM3/+fJGho6SkxEcfffSPB48ai5SUFLZt20Z6ejoLFizAzMyMmzdv8vTpU1xcXN5JRnhTUVNTw4kTJ7h37x7379+noqICXV1dsrOzWblyJba2trRp0wZVVVU2bdrE5MmTMTExadIznj59SkFBAdnZ2WRkZJCcnExGRgYZGRn89NNPb01nuXLlSnr06MHw4cPx8/Pjzz//REtLi27dunH+/Hnmzp37nBbk31G/UnbcuHFYWVkxa9YsOnXq9Nb6m39HdnY2X375JT4+PuzZs4fMzExOnjzJ999/j7GxcZP1oKDpQe2kpCRCQ0M5f/48ZmZmrF27VvwvMDCQlJSURgtjb9++nV9//ZWPP/4YZ2fnBhn60dHRfPfdd3h4eDS6bZMmTWL9+vW0b9+eEydOcOHCBcaMGUNlZSVXr15lzZo1TR6DTcGL+r+goICIiAjk5OTo3bv3Sw+a0t+XLFnChAkTCAgIQE1NjdmzZ7Nt2zbq6ur4+OOPX/gMaQwePHgQf39/Vq9eLbLkgoKCAFi9enWTxod07aFDh/jzzz9Fooienh56enqYm5u/tbPgTVBWVsaSJUuYOHGicFjW1tYyduxYDhw4gIaGBlevXqV169aoqqpy9+5dwsLCKCsrY+rUqfTo0eOtD/tVVVVUVla+USVzXV1dkzQ8X4bS0lKqq6vx8vLCz8+Pn3/+WfyvuLiYtLS0txYVl7KM5eTkmDBhAidPnmzw//oOv6ZC0ryIiIhAXl6+QdDwReNUspW+++477OzscHV1pbCwkG+++QZ/f382bdrEyJEjZWqfHD16lHv37jFs2DChR/ay9r0JJk6cyL59+1ixYgUfffQRXbp04bPPPmPAgAF88MEHDeyV0tJSrl27RkhICG3bthWJfrKEv78/Hh4e7Ny5k6KiIsLDw3Fzc2Pfvn34+PgwceLEFwbVKyoqCA8P59GjRyQlJREQEICSkhJLly59JSPIm0A6fx07doyjR4/SqVMnbGxsuH37Nu3ateOTTz554fzeu3cvf/zxB61atcLW1paamhpKSkoYNWpUo6qh/ylUVVUJas7o6GgSEhIoKiqidevWosr1feDWrVvcu3ePO3fuUFRUhIGBAba2tixduhQFBQUePHhAbGwskZGRJCYmUlxcjLq6Ort27Wp0onF9O/7WrVvExcXRsWNHzM3NcXJyYsCAAY2usH4dpLklOfivXr3KyJEjRcKHpaWlcPBFR0cL3eFHjx5x9+5drl+/zvz583FxcfmfOVe8DH369GHIkCHcu3ePzMxMFBUVOX36NFpaWmIe5ebm8uTJkybbmY1Fdna2sO8TExPJz8+nurqaqqoqvvjii5f6z9LS0lBUVBRn+fLychISEoiKiqKysrIBPf77wOLFi7l16xYATk5OuLu707t370Yntv43o7KyksLCQrKzswUjRWJiokhaX7JkiagOrY+amhrKy8spKCggLi4OBQUF+vbt+04Sjus/U0FBgUOHDpGZmYmrqyteXl5MmTKFpUuXYmhoiJ2dHaGhoTx48ABDQ0OGDx/O6NGjUVdXp7y8/K2YaupD8qXFx8cTHh5OQUEBhYWFTJ06tUmVrgUFBXz55ZcoKytTWVlJUlISEydOxMzMDAMDA0Hz2ljcvn2b8+fPo6Wlxc2bN7l69eobvN3LUVpayu7du1FWVkZJSYnU1FQqKirIzs5m+PDhjB8/vtFjQFpjk5KSiI+Px8DAACsrK8rKyjh+/Ph7pUisj5CQEPbv309MTAwHDx5k//79HD9+nBYtWjB9+nQyMzNJTExk9+7djb5nREQEFRUVrF+/nn379jWw806cOEHfvn0bHXwqKChAR0eHcePG8fvvv6Ojo9Og0MLc3PyN5+CpU6fw8vKioqKCQYMGMWbMmAaSOe8KUvKEg4PDS/fe3NxcoqKiCA0NJTo6mtzcXD788ENmzpz5ztv3IvzXBsPqo7KykvLycrS0tN7IqImMjOTcuXPY2dnh6OiIoaEhioqK5Obm8vDhQ9LS0mSq7VJVVcXBgweJi4sjMjKSCxcukJaWxrx587hw4cJLf1dfiFAKCoWFhREfH8/Dhw9ZuXIlM2bMeON25eXl8eDBA2xsbFi3bh39+/enqqqKw4cPc/r06ZcaUPHx8Tx9+lQYm7LGl19+SXl5OW3atMHY2FiI8RoYGMhkI66rqxPj5l1k/axfv57Zs2djYGBAZWUlVVVVFBcX06xZM7S1tWVimEr3qKmp4dGjR8TExNC+fXvat28vaAbqzw3p+rq6OvLy8igoKEBTU5PWrVs/l5H5MlRVVbFixQoxZhQVFWnevDmLFy+W2YHnVSgqKuLGjRu4urq+U0O1vuD3/v37mThxIs7Ozq/dzC5evEhERASxsbHU1tbSunVrjIyMmDVrFurq6lRWVnLr1i1CQ0P566+/2L59uwiYqaqq8sknn/DVV181ySG/fft24uLisLCwQENDg8LCQlJSUkTp8apVq5g+ffrbdslLUVVVRUBAAH5+fty48f/Ie/e4nu/////a+VxUOkklUVE5tJyt5DTi7TCMmMPGhmEHhxlm2NhmM3MaY86H2VAx0zB0QEkHoXM6l5LSOb06/f7wez7eNaHyir0/39vl8r683+88X8/n4/l8nO6P++F2u8Tu3bsbrasijbewsDD8/Pw4f/680L4bPnw4EydOxMXFBSUlpX99dl5BQQF//vknqampXL16le7du9OuXTtxALGwsODnn39+KYZHYyCTyTh27Bj79+/n3r17qKmpoaamRvfu3Rk1ahRffvklwcHBL/yckpISHjx4QEFBQYOHrqbC09OTTz75hNdee41PP/0UIyMj3nnnHVq3bs28efMYM2YMQ4cOfapdII25yspKMjMzuX37Njdu3BB6F4qKirz99tt4eHg0u43/XEejo6Px8vLiwoULODk5MXv27GYHR6V7h4aGEhMT0yjHQXBwMGFhYRw8eBBnZ2csLCzQ19fH0dGRnTt3MnbsWMaMGdMoWyo3N5fg4GACAwOJjIykuLgYKysrRo8eTXh4OJaWliL7+nkoLCzkvffeE9THU6ZMYcSIEUITcvTo0WzZsuWFdZqehzt37rBr1y4yMjLo1asX48ePp0OHDo22LWfPns2PP/7Ixx9/zNKlS7GxsWH27NlMmzaNAQMGNHgf6W8///wzzs7OIoBbXV1NeXk5QJMoSusiJSWF1NRU4YiVErw++eSTFv+WT8OlS5dYsWIFHTp0oGfPnhQWFpKSksKePXvEO9atRn1R/Bsz/2/fvo2/vz++vr7Y29szbdo0VFVVhf7qvXv3WLhw4Qu1PTMzk7179xIUFISamhobNmzAzMwMLS0tHj58yIcffvhcBoB/Qhqr0hqSk5ODjo4Ou3fvJiYmhvLyckFf/088ePCAMWPGcOXKFfG3nJwcjh8/zrvvvit37Z6SkhJOnDjBkSNHeP3115k1a5bcNPJqamo4cuQI5eXl+Pj4cPbsWUpLS5k8eTIHDx5ET08PBQUFysvLiYiIIDQ0FBsbG/r3799imqbff/89WlpazJ07l59//pnc3FxWrlzZ5PvExsby3XffsWrVqudSpb8Ijhw5QkBAgNCvc3d3R0dHp8Hn3bt3TzB53L17l+DgYHR0dFBTU6N169YsWrTopZw7moKG3qO0tJSYmBgKCwsZNGjQKwnE5Ofn4+fnR2JiYoMJmeXl5cTFxZGVlcWIESOa1P/5+flMnz4dLy8vRo8ezaxZs9izZw/l5eV4e3s/Qd/XXEjnslWrVlFYWIizszNFRUXk5eWRm5uLm5sb48eP58GDB3z88ccMHTqUMWPGNJl2/t+I2tpaysvL0dTUJDQ0lD179rBjxw5KSkqIjY3F29sbY2Nj1NXVCQsLo7q6mjZt2nD9+nVOnz7dovNESsZNTU0lPT2de/fuPZFcJY2nw4cP4+/vT1hYGCoqKowcOZKPP/4YbW1tampqqKmpeWXUWLGxsfj6+vL333+Tmpoqkj7+r0EKcIWEhDBmzJh6wdKnzfuXYU9J6+KHH37I7NmzOXfuHPr6+sycOZOdO3cSHh6OgoICb7zxBm3btiUkJITg4GDs7e1ZsmSJXKqEJZYfBYXHutoGBgZYWlpSWFgodJabSncnk8lIT08nMTGR6OhooZulqqqKk5MTkydPblIbIyMj2b59O7dv32bNmjW4urq2mF9Bkk5o27ZtoyqbpT4MCQkhPDyce/fuiUphc3NzuSebNgelpaXMnz+f4OBg9PT0cHd3p2/fvsTHx1NUVISKiopIzG5MP5eVlXHx4kVOnTrF7du38fT0xMjICBsbG8zMzFi4cCG//vpro8ZnaWkp27dv5+TJkygoKLBs2TL69OkjgmsDBw7E29u7UYwKUttTU1NZvXo1Q4YMQVNTkytXrnDmzBksLS3x9fWV2xonPc/f35+9e/eirKyMo6MjTk5OdOrUqUGfreSLb2hcJSQkoKysLOilX/Za/K+hSXwWVFVVxcBqzgcqKCgQpbA+Pj6YmppiZWWFk5MTHTt2lHtmnIqKCkOHDiU6OprWrVszbdo0ZDKZoHR6WkdLA2T9+vWoq6szf/58hgwZgoWFBQMHDhTZcU0dKNL1oaGh2NraCgH3Q4cOYWVlhaenp7iuoUH6xx9/oKurS0lJCebm5ujp6aGhoSG3wTp+/HgSEhJISEjAz8+PHTt24Orq2qxDHjxe0LW0tOpRQbVUdovExezl5cXMmTPFc+tmrMjDqJAWnnXr1qGg8FgsWU9PTxwU58yZg52d3RO/27RpE3FxcWKTatWqFSYmJowaNeqpWat1BZnv37+Pr68vpaWlxMXFsX37dry9vVssm6tuQDgwMJCwsDCWL1+Ojo4Or732GuPHj2fQoEFyfaY0NiRqm99//53o6GjMzMwwMDCgZ8+eDR6wPDw8hBM9Pj6eqKgooqKiRN/funWLlJQUEhMTefToET/88AP6+vrY2dlRU1NDbGxsk4wFKVvdyMiIqKgoEdw0MDAQlXpS5YY8NhNpHEjc0lFRUdjY2DB48GAGDBjAsmXLmnQ/aR44Ozvj7OzMokWLkMlkBAYGcvbsWWbOnMnvv//+r6iqagh1DaWIiAjhHMvKyuLu3bt07NgRPT09CgoKsLKyQk1N7ZU7aaUqB1VVVaZNm0a/fv1ISkpCS0uL48ePc+3aNUpKSoRw7IuOG21tbbkexMeOHYu3tzdRUVGcP39eZMPC48pRSVfuaW2WjLWAgAAqKipwcXHh888/p6CggKysLMLDw0XGanPfXUFBgeDgYNLS0sjNzcXCwoLZs2ezcuVKQe3U3HEg/aauMPqzMvXu3r3Lrl272LBhA0FBQYwaNYq0tDTu37/P6dOn0dXVFVQpz3vXiooKtm7dytq1axk1ahRVVVUkJSURHBzM5cuXuXbtWpMc7VpaWvTq1YtBgwbRqVMnSktLGT16NPA4k0xVVbXFgzf37t1j1apVeHp6oqGhwZ9//snixYv56aefGuVEr6ysZOjQoaxZs4asrCy0tLSIiIggOztbaIU29F2lv128eJFLly4xZ84cevfujYaGRr350pwxYmVlJfZHLS0tEhISuHHjxhOaTi8T7u7ueHl5ce7cOcLDw+nVq5fQeExMTMTf35/w8HAqKyuxtLSkZ8+edOnSpdkai//8bi2Z0dxYWFhYYGdnx7lz5ygvL+fAgQOoq6tjYmKCr6+vWHNfZI/Q19fnnXfe4caNGygpKbF+/XpKSkowMTGhvLxcUD815XtI+ZF//fWXqH6KiIgAHlcmJSYmPpXdorq6GkdHRy5evCjstIqKCv76668W0QTU1tZmxowZjBs3jh07drBp0yaRzPSiUFRUpH///nz55ZfU1NQwbdo0amtrGTZsmEjMVFBQYP369eTm5mJtbc25c+fw9vZm+fLltG/fXg5vWB9hYWF88sknwOOgvkSFKpPJUFFRqdcfdYPO165do3379kLf1s7ODplMJtZbedkoOTk5BAYGEhAQgKOjI8OHD2fKlCmUl5fXC4Q+7Xn5+fkMHz6c0tJSPD09SUpKIjk5mdzc3H9tICw6OppDhw4RHh6Ok5MTb731lqhGgpbV3JFslpiYGE6ePImuri4uLi44OjoKnUKAuLg4Tpw4QWBgIF26dGHcuHH0798fR0dHoHH9Lz3r6tWrODs7k5KSgpmZGePGjcPKyooLFy7ILRAG/z2XFRUVsX79erS0tKioqBCaYdJ5t3Xr1nh6euLt7U1NTU2LJgO+LCgoKAgqeqnPAA4dOsTmzZuZOXMmeXl5tGvXjrZt23L16lXeeecd5s+fL/d5Iu0d/v7+3L59mxMnTvDRRx8xZswYDA0NhVbeP9ufn5/Pb7/9xoYNG7C3t+f27dvs2rWLgIAARowY0SBzz8tAeno6RkZGgga4rgbTqz6vvQiktstkMu7du4efnx9t27bF1ta2npY9/He+P+1dX8Y3kPq+U6dOmJiYUFtbK8auj48PCgoK+Pr6ivfq2bMnbm5ufPjhhwwcOPCplOSNheRPSU5O5uDBg2RmZgKwa9cuiouLcXR0FO1p7PeQKvDgsQ08bNgwiouLiY+PJzIyUiRYN2Wcde3alV27dnHx4kV++ukntLS0XthnLT3/4cOH3Lp1i/j4eNTV1Wnfvr3Q+2qMvSj14fLly3Fzc6Ndu3bcvXuXkJAQ8vPz+fbbbzEzM3ul80pVVZWff/6Z8+fPc/nyZdTV1bG1tcXDw+OJNjWmjZqamkJzXUtLCw0NDW7fvk1YWBiFhYUYGxujqqraKH+ClpYWS5cuRVNTk0uXLnHy5Em+++471NTUsLa2pmPHjrRq1apR30/6d6kqNCUlBU9PT+bOncvUqVPJz88XchHyWHcVFBQoLCzk+++/Z+XKlcyfPx81NTV++eUXOnXqxP79+59ICvunL76ujdSxY0fx91exL/xPVIbJC8uWLePhw4e0adMGdXV1goOD0dfXZ+nSpYLjU964du0aSkpKtGrVShxMn4f4+Hj27dtHUlISs2bNEqK4L4qJEydy6NAhkVWQlJSEtrb2M4Wmq6qq+Pnnn4mLixN85BJFmq2trThcyQvFxcVs27ZNRMmbSiulqKjIV199xdy5czEwMKhnILQE33xeXh47duwgICAALS0tTE1NhX5FQ8GpF0FFRQUTJkzgl19+4Z133mHFihXCGblmzRqMjIzqfa/79+8zZ84ctm/fzpQpU3j33XeFWOj333//VN0nKRAUFBRESkoKc+fOFQbxn3/+yblz59iyZUuLRO/rUlGNGjWKsLAwzM3Nqa2tZfPmzUyaNIkPP/xQrs6upKQkUlJSBL9xSEgIUVFR3L9/n8LCQtavX98gBURRURGFhYUYGRmRmZnJ3bt3cXJyEvNh0aJFfP755yQmJlJTU4OOjg6BgYHcuXMHIyMjBg4c2GRKqIqKinpZQf90MsgTUrt+/vlnMjMzCQwMZPLkybz33nv4+/tjbm5Ohw4dnnufuobXyZMn8fHxoUePHtjb2zc5S+pVQhrv69evJyMjg9LSUvLy8hg0aBClpaVERkaira3Nxo0bAeqVu79q1HVkaGtr4+joiKKiIl9++SX29vZy1ReSp+F7//59fvzxRyoqKvDw8BAJITdv3uSrr77ixIkTz3yeRGPp4uKClpYW/v7+rFy5sl5lzouuIydPnmT//v1oaWnRrl07KioqqK6uZvr06fTs2fOljgFvb2/u3LnDhAkT8PHxEQHrnJwcioqKsLa2bvT7+vv789tvv/HTTz816GwtKSlpsuOloqICb29v8vLy6N+/P127dqW6uppdu3aRlJQkdC/lDamfjx49SmxsLGvXrhX/tmPHDvLz81mxYkWj77Vp0yaCgoJo3749OTk5TJo0CQ8Pj2eOxfLycry8vAgJCeH+/fvIZDLatGmDi4tLkylEpDEVGxuLl5cXaWlpVFZW0qlTJ+bOndtilSmNQXp6Onl5eejo6GBqairsDKkP1qxZg76+PgkJCWhoaPDo0SPCwsKYOnUqc+bMadL6ERUVha+vL4sXL/5XBMAkyGQy4PFBPC4ujvbt25OUlCT+4+DgQP/+/eWWFZ+Tk4OysjKVlZXcvXtXUFB5eHg0O9Py/fffZ+XKlWzatImRI0fi7u7OZ599Rs+ePRk7duxTv/eRI0f47bff6NChAwUFBairq+Pg4MAHH3wglz6SxkdycjK3bt2itLQUfX19zp07h6+vL++//z4ff/yxXNfdq1evUlxcjLa2dj3nb15eHjNmzBCO+PLycnbv3k1RURErV66U65mjtLSUIUOGYGZmRufOnQkICGDnzp107NjxmbSuly5d4vDhwxgbG2NgYIC2tja3b98GHjMNyOs73bx5k19++YWcnBx69uxJWFgYycnJDBkyhGXLljW4V0htPHToEBkZGRw4cIAvv/ySCRMmkJSUhKWlpai+kxclljxRWVnJW2+9xVtvvYWJiQmXLl0iNDSUr7/++qUmdY0bN45u3bqRkZFBamoqysrKtG7dmu+++w5TU1M8PDwYP3481tbWXLlyhYCAAJYuXdqsxEIfHx8MDQ159OgRf/31F99//z3bt2/n4cOHTab6fR4KCwuZO3cubm5uz9U9ycrKYunSpQB89tlnL0xB+yoxadIkHB0dmTRpEuvWrWPNmjW0a9eOO3fusG7dOnR0dPj000/p0KEDq1atwtramhkzZrTIHij157Rp05g2bRp79+5l4cKF9O7dm++++45Ro0bV83VI68mZM2c4f/48W7ZsETq2ly9f5uDBg+zbt++lOsilNh0/fpzQ0FAuXLhAmzZtcHNzw83NjT59+vyr7IfmQGr//v37iYuLIzU1FZlMhrKyMioqKowZM4Y333xTfIvMzExat279hB/oZQcuKioqUFZWJiEhgbfeegttbW309fVxd3fn448/fqJffHx8uHPnTrOT5SVI992yZQvq6upUVVWRm5vLF198gY+PDxkZGc1O4Hn33Xf5/PPPsfr/ddGh+ZqXUtJNdXU1Fy5coGvXri8cYJLefevWrWRlZREZGSl8XDU1NUyaNEnoaT0N0vOjoqLYs2cPP/zwA6WlpRQUFJCTk0Nubi7Dhg1rVvvkgdraWr766itiY2OxsrKiTZs2aGpqEhkZSVBQEH369GHq1Kk4Ozs3qV+io6MxNTWtV3BRWFhIamoqioqKWFhYoKur2yi7KisrC0NDQ2QyGaWlpRgbG5Obm8udO3dISUkRSYJNsdFqa2tJSkriypUr5Obm0rNnT5EAK6+5LbXnr7/+4tq1a7z33nusW7eOHTt24OPjQ0RExFP1t5/ms3zViQj/E5Vh8kBhYSHx8fF4eXkBj+k8TExMCAsLq7dgvShqa2sJCwvDy8uL9u3bM3DgQGxsbBr1OymbRk9Pj6+//pqIiAgOHTpESEgIs2bNalbQqe59e/fuTVFRkaCmsba2fu7vlZWVRUavv78/33//vchsPXjwIJ06dRLO36ZAWoyDgoIAaNeunaCQa9u2rYgYN3aCyGQykpKSePDgAYGBgXz22WfAf6Pl3t7ejB07Vm6H07qHuMGDBzN37lySk5OJi4vj6tWrqKmpiQogeVXohIaGCrpCLS0t+vTpg5GRET/99JMIaCooKIhnXrt2DRcXF8rKyujUqRNTpkzB1taWEydOPDUQBvDVV19x7949jIyMKCkpwcjICHd3d7KysggLCxMbXEvE0SWjJzk5GVdXV3bv3o2Hhwd2dnakpKQIp728nByBgYEcPHiQ27dvU1NTw8iRI1m1ahVvvPEGZWVlJCcn1wuEHTx4kLi4OBISEmjfvj337t0jIiICNzc3srKymDp1KmPHjqWmpoa0tDQR/NmzZw9GRkZC2F1yLtd958ZATU1NCCcrKSmhoaHxzNLjF4H0jS9dusShQ4dYuXKlaP+vv/6Kh4cHHTp0eO4cldq2fft2FBQU+OCDD8jLy+P3338nKCiI7777DkVFRZSVlf/VWXnS9/Dw8OD+/fv069cPTU3NekGBadOmERISwhtvvFHvN68aioqKIuhQU1MjNIXs7e2xt7dv9kGwpQ0YIyMjIRosQdLJk3QqnzX2r1y5Qq9evVi+fDnwOIvY19dXBMNedM7cvXuX3377jfXr1+Po6EhJSQkpKSmcOXOGhQsXcurUKbkkizR2H+nQoQM7d+7Ey8sLW1tbsWc0J2nlypUrQodS2jclahsFBYVmZSCrqanV0x6Cxw5lDQ0NJk6c2OT7NRZSP1dUVAhR67r4Z8CmIUgaPe3bt2fx4sVkZGSQkZFBp06dxB7R0FwIDQ0VVaNTpkxhypQp5Ofnk5SUxI0bN8R63tQDD8DPP/9Mu3btmDx5Mjo6Ohw5coQdO3awcOHCFkuSeFp7FBQUSEpKYuXKlaSnp2NlZUXr1q1p3749Dg4OIqkrKiqKY8eOMX/+fN58800sLCz44YcfmpT0lZSUxKNHjzh16pSogJP67caNG5SXl4sD4KvA77//TllZGTNmzMDW1haZTEZVVRUdOnRoUNOpOairPXrhwgWmTp0KgImJyROZw83Zhzw8PDhz5gzx8fG4u7sLXSQpk/5p82TKlCk4OzuTmJglmYvPAAAgAElEQVRIfn4+VlZWomJdXhmpAF9++SVmZmZkZmZiaGiIq6sr/fv3p3fv3i/8DICYmBjOnDlDly5d6NOnT70q/ro6s+bm5iKoqaqqyqRJk/j000/lnnynpaWFn58fwcHBXLt2DXNzc+bPn4+pqSmOjo4MGDCgnqajkpISFRUVuLu7Y2lpSXJyMomJiTx48ID+/fvTs2dPubZv69atjBo1Cnd3d3R1damtrSU+Pp7ly5dz9OhR3nvvvSd+I42hU6dOsXHjRuLi4kRi6rZt23jnnXdwcHD41wXCpLU6ODgYAwMDIbPg6urKqVOn+OWXX9iyZctLaUtqaiqqqqr1tEGjo6Px9/enTZs2pKenY2JiIphpXF1dGTx4MJs3b8bV1bXJAfkBAwaIqp7Tp08zf/58ioqKWkQTJi8vD1NTU86cOcPNmzfR19fH0tKSvn371gt2JScnU1payurVq/noo4/47LPPWLhwYaN0sf9tqK2tZcyYMfj5+fHWW29RUlLCp59+yuDBg3F3d2fbtm3s37+fbdu2MX/+fKKjowVTS0ucN6RExvLycgYPHsz27dtF5a2fnx/Tpk2rd73UBgsLC6qrq4mMjKRr167AY61lqWK2Jc6sT4OioiJVVVXs27eP7du3Exsby4QJE9i9ezcHDhzgzJkzjfLT/S/gwoULfPXVV2zcuBF3d3cePHjA1atXn2Bd2LFjB2+88Qb9+/cXgRrJ/m3pc11UVBS5ubnY29tjbGxMaWkpNjY2REREkJCQwLp167C2thbMJnWRkpIiEoJfJIApjdOoqCi+/vprfv75Z3EuvHHjhqhUaewzpG8WFxdHSUkJVlZWYp/Iz8/nhx9+YO3atU2eo9L1ysrKDB8+XPz9RfpHuufVq1c5cOAAy5cvZ9iwYSgpKbFr1y4xVp51JpHmr0RvJ2m4aWlpNZvhQR6ouzdHRUXx9ttvk52dTXp6OlFRUejp6fHHH3/g4+PD5s2bGTFixBNr2NNQWlrKmjVr2LJli7AH//rrLxISEhgwYEC9BJjn9XNNTQ3r1q1j3rx5dOnSBW1tbeLi4qiurq6nf9uYe9VFSkoKhYWFWFlZCWr+AwcO8OOPP8qNQlhqT0pKCv379yc0NFQw9pSUlIj/XXf81PWZd+/eHRcXl3r3fNW+v//zwTBpgbpz544QNVRQUMDQ0JAJEyZw5coVuZSVS53u7+/Pjz/+yODBg4mMjOTXX3+ltLSUPn361BPQfhrOnj1LcHCw4KuVBk/btm2ZMWNGs4MrXl5e7Nq1i4iICBYsWICzs3OjNxFpowwPD2f8+PFMnz6dOXPmkJOTQ3Z2NtD0TUm61svLi8rKSgwNDWnbti0VFRV4eXmxYcMGoPETpKCgAF9fX/744w9qamo4evQopqam2NjYiDJoeerCSe0PDAxk5syZ6Onpoa+vj5OTEyNGjBDC9fKY4NI9CgoKcHFxISUlhTZt2vDo0SNu3rxJZWUl8N8+qHt9r169iIuLE4fJ0NBQsYg/rc+OHj1KWloa165dIyIigl27drF7927Ky8txdHQUC3VLGbL5+fkMGDCAsrIy9PX1RdDojz/+YNGiRfW+yYvCx8eHgQMHsnv3bu7evcsPP/xAREQE3bt3R1NTs96B68GDB6xfv54hQ4bw4YcfIpPJsLGxwdPTk/fff79edamioiJLly5l27ZtpKWl8cknn2BtbU3Pnj3p2bPnM6sxn4WGDhAtRQOqoKBAUVERqqqqVFVVkZiYKDaw+/fvC2fK8/pCWq+io6NZt26dOAxNnTqVuXPnEhMTIxd9qZcF6WAnQVtbW8wlJycnYVD/26CkpMSBAweIi4sjNDSUq1evsnPnTjw8PPj222+bdc+G+l6eRk1NTQ3V1dViDQAwNjZm7ty5ovriWWPfz88PKysrEbAsLy8XtIhVVVUvrE8XGBhI586dcXR0pLKyEm1tbRwcHHBwcKCmpoaLFy8KGuLnvadEZSxpD9ZFY/d8Jycnzp07h5ubG61bt+ajjz4iLy8PGxsbevToweLFixttEAcEBHDq1CnCwsLo168fbm5u6Onpyd3h0qZNG6ZNm/ZSAscjRoxg6tSpxMTE0LdvX7S0tAgKCmLBggVAw2O3traWK1eusGnTJjQ0NIiJiUFTU5Px48cze/bs5zpqo6Oj6dy5M1u3bqWwsBAXFxccHBx47bXX6q0VTXl/aczHxcWxadMm8XcbGxvmzZvH/fv3X6pemGRnnz17lm7dunH06FGSkpIIDw8nKCiIsrIyhgwZQm5uLlpaWjx69Ii8vDyxh8TExIis/8bMx4cPH3Lw4EEuX76Mg4MDFRUVODk50adPH86cOSP24ldVmXv58mUmTZqEqqoqBQUFLF++nIKCAmpra5kxYwbDhg17YYeTZAv8/fffxMfHA48P5itXrqRfv36sWrWqwcBvYzFy5EgWLVpESkoKgwYNwsbGhrFjxz7VdqmtrSU8PJxLly5haWmJpaUlI0eOrHeNPPeGjRs31gtQ/bOvm9PvUp8kJCSwYsUKbGxs2Lx5M4sWLcLAwIABAwbw9ddfi/dwcHBAJpOxdu1aRo8ejZqaGhcuXGhUxXxz2qaqqsrrr78uAr15eXkEBwdz5swZKisr6dOnDzU1NVRWVhIQEEBsbCy9e/fGxcUFAwMDevXq9cT6L4/5UVFRQXZ2NmPGjBF/U1BQwNbWlkWLFuHt7S20hv6J1NRUNDU1sbS0pKioSCRcxcTEtMh3lAekb1ZaWvrEfFBWVhaJCC9j/WnVqhUjRozgzp07WFlZoa2tTefOnbG1tUVRUZHo6Gh0dHQoKioSFcOqqqooKyuLatK69lVDkObFvXv3OHPmDLNnzwYeV49evXoVV1dXwXwjzzlubm7OihUrKCwsJCEhgZSUFG7fvk3r1q3p0qULd+7cYd68efTt21do84waNYrS0lJ2794tkkb/l6CgoMCkSZNE0lBWVhanT5/m/PnzbNiwgc6dO3P48GEOHz7M5MmTefTokUjmaSmHYnZ2Nl26dOHs2bPo6+ujqqpKWloaWlpaGBsbN7iXde7cGVNTU9avX4+xsTE5OTkYGxsLx/PLcn5KbQsJCcHe3h5dXV3U1dWZOnUqZmZmZGVl/Z8IhCkpKVFcXIxMJqN9+/akpaUxbtw4AK5fv46VlRW1tbWcPn2a1NRUQkNDhd0rJW588cUXvPvuuy1C8VsX27Zto3v37oKm9dChQzx8+BArKysGDRpEXl4e586dIzU1lY4dO2JpaYm+vj4mJibcvn2buXPnAi82hqRqK2trawICArh+/bq4b2xsrAjuN3X9jomJEQla0vqfnJxMZmbmc2nqnncOlFeQUkFBgYKCAioqKkQS29ChQ4HH/j/puc96d+kM8vDhQ4KCgnjnnXfo2rUr9vb2goL0VVb7xMTEMHLkSCIiIjhz5gwjRozA3t6emJgYZs+eja6uLjk5OcTGxgKN82EHBwfTunVrjI2NKS4u5uTJk+zdu5fevXuzZcsW1q1b12jN2pCQEIqKiujSpYuQC/nss8+orq7G3NycXbt2NTmBNTo6mpUrV9KjRw9ycnKIjo5GT08PFRWVFtHS7NevH0ZGRuTl5eHv78+vv/7KqVOnmDFjxhPXSt82PDycUaNGAY99MK9KM/Kf+He0ogVR99BiY2PDjz/+yFtvvUVubi4nTpwQm+CLlkhLz7lz5w6jRo0SC2lZWRkxMTE8fPjwmc9RUFCgsrKSsrIyPvjgA/T19bl79y41NTUsWbJEOPCaurAoKDwWyZw+fTrm5uZcuHCB+fPnU1FRQevWrdm4caPQXWkIVVVVYqOMiIhgyZIl4j3qZps35dsVFxcLXYMVK1aQmJjInTt3RIbbnDlzhHO8se9rZGTExx9/jI6ODnl5eSQlJXH+/HmUlJTQ1dUVJb/yLIUvKCigbdu2BAQE4Orqiq6ubj19u6a0vzHw8PCgpqaGR48e0bp1a0aPHo2Ojg7z5s2rd530zBkzZvDo0SOKioq4fPkyixYtIikpSVBJPM3xB4+zuiwsLIRBfufOHYKCgkhISEBTU7NFNzl9fX3mzp2Luro6/fr1w8PDA1tbW4YNG4aKiopcD5jp6emCHqtDhw4UFxeLb/DPsdK6dWu2bNnCjh07uHDhAosXLyYhIQETExMcHByeWNhdXFyYPHkyZmZmjBw5Ej8/P3x8fNi+fTsuLi71qLoaC0VFxZdqYGhoaDBkyBC++eYbzMzMUFdX5+TJk2hqaj71EPRPKCgoUFZWho6ODllZWfUM7aysrAaFNv/NaOidpXHy4YcfPtex8KogOT1sbW2xtbVlypQpHDhwgIqKCqDxa6M0/3x8fOjVqxempqbit5cvX6Z9+/Zyq7Z+lq5AYzLvtbW1yc7OZsOGDZiYmHDy5ElB1yUPIywiIoJZs2YBj7VCq6qqqKioQEtLi1atWglq4eetWdJ42rJli6hia85eJf3ml19+EbZNfn4+Fy5c4K+//mp0tUJubi6ampp89dVXojL0m2++wcDAgN69ezNgwABRNfaiUFBQeGnrmbGxMSdOnODkyZPExcVx9+5dPvroIxHkb6iPrl27xm+//cZ//vMfhg4diqKiIuHh4Zw+fZqdO3eKBI2GUFJSIqhoTExMBNWJt7c3Ojo6mJmZib2uqZA0Q06cOMHQoUPR1dVFV1f3pQfC4L/jV1VVVazv1tbWWFtb8+abb4p/19bWZtGiRdTU1ODk5MT48eOxs7NDV1cXPT29Ru9t3bp1w8DAgIyMDEaNGsXt27fx9/dn9erVKCsrC5voVQTCZDIZDx48EJVuBw8epLq6mgULFpCVlcWJEyfo1q3bC1eMSt8pMDCQBQsWiASmb775hosXLxIREcHgwYObRTW+d+9ebG1t2bRpE2VlZURGRtKqVSsRqKgLac3x8fHh0qVLgoni8OHDvPbaa6xYsUJuNrfUvuLiYnx9fQkNDRXVQ/Ls66CgILp27coXX3wBPH7HixcvkpCQIP6/kpISWVlZfPLJJxw/fpzjx4+TmJhIx44dW6RKRurDmpoaoXdiYGBQT7tWuu7vv//m119/RV9fn5CQEHr37s2tW7coKytj2LBhoopQXggJCXmqRqGDgwPr1q17qgh8dXW1GGvt2rUT9zMyMkJDQ+NfQzXdEFxdXTl48CCTJk1i4MCBaGpqEhwcLOZ+S+5r0nf5+++/OXToEL6+vnh4eGBlZYWhoSEWFhZoamqSkZHBpUuXiIyMZMCAARgZGZGbmyvGQGPs1YcPH6KmpsbZs2dJSkoCHtuTXbp0wdramujo6BZ5R1VVVUpKSoROi6KiIg8fPqS2tpbKykrat2/P999/j76+/hO+HC8vL3766af/uWAYPH6HmpoalJWVMTMzY86cOcyZMweAjIwMNDU1effddxk7diw//fQT33//PbNnz6Zz585yb0ttbS12dnbY2tqyY8cOnJ2dOX78OFeuXBGUsQ0laSorK7Ny5UpiY2NJTEyksLCQ/v37C9vkZc1paQ5mZWUxYMAAoqKiBCuSTCbjxo0bTJ069V+9zjwPDx48oFWrVigoKDBkyBDy8vIwMzPDz88PIyMj7t27J+jYrKys8PX1JSsriwULFtCmTRucnZ1xcHAgMjJSrkxZDSEvL4+cnJx6lcKHDx9m8ODB+Pv7k5OTw+HDhwkPD+fKlSscO3YMADMzM9q1a0d6erpIInvR/lJSUsLT05PvvvuO8vJy/vrrLy5evEinTp3EGGnsGi5d9/rrrxMYGMjJkyd58803yc/P59ixY43S+XreOVDeiabz5s2joqICKysrduzYga6uLvn5+c9NoqqqqhJn80GDBtGrVy/i4+NJTU3l+vXreHt7s2nTpgblRV4WKisrhR2hqanJzZs3GT16NN999x0aGhqkpKQAiOBVY8bS1atXRT8GBQVx69YtFixYwIQJE1i9ejW///47H374YaPa5+/vL/amsLAwfHx8mD17NrNnz+aLL74QCXVNgZKSEqtXr8bY2Jg2bdqgqKhIYWGh8GnK03eYk5PD1atXmTNnDoaGhtjb23Pu3DmmT58uAqvSN5Wem5eXJ2zS0aNHCx/Mq6ZIhP8HgmES9PT0mDx5Mr/88gvz588XlGVS5oQ8O6LuZqKpqVkv2NTQoVByUt69exeZTCYOnNJhuS7XbHPaqaCggIqKCm+88Yag78rOzsbHx0dQJjZkCKSnp7NkyRIGDRpEx44dKSwsFJkcL3K4PX/+PBEREWLDad++PT169Kjn6G/u5Hj33XfF76qrq4mNjaWmpoZOnToB8jXAYmJiyMjIYP/+/aSmpmJubo6xsTHW1tZy1VGDx0HVmzdv0qNHDzQ1NVm8eDFxcXFYWlqKPlRSUiI5OZl9+/YJrtn27dujrq7OrFmzCA8P54MPPhDOqoa+hXTIjo2N5cqVK0KEUap2kNASC5fU535+ftja2mJqasqkSZMYNGgQ2dnZIktUXs9OSUnh1q1bnDp1CicnJ9q2bUtJSYmggPjnGFdSUmLo0KF06dKFvXv3snv3blJTU59p5Eg0BNra2vTr14+ysjJiY2PFAbSxDu/s7GwOHz7MpUuX6N27NzNmzMDCwuIF3r5xUFFRoVu3bgQEBHDlyhWGDRtGt27dRACgsVQXmpqaTJw4kRUrVuDi4kLPnj1JT0+nTZs2GBoa/is2w8biWevTvzEQJq3tf/75J4aGhpiZmaGnp4eBgQHx8fEiy7yxa6N03aFDh0SGjzQGEhMTBUXCi/Sp1OaEhAQMDAyabVR/9tlnJCUlkZiYSFpaGh07diQkJIRbt25haGjI3LlzX2gvO3fuHLq6upSXl+Ps7CyyreGxhkpjnY5SwNjMzExkmkvtagpNh3RdZWUl+/fvx8XFhS5dughdk8YiICCAjh074uLiIgJFOTk5hIWFcfnyZXbs2CG3YNjLQlVVFZmZmZiZmfHOO+80+ne+vr50795dZLvV1taK6u89e/aQkpLyVAdCQECASJByc3Pj/v37qKmpkZmZSXJyMg8fPmxWIAzAwMCASZMm8fvvv1NSUkJJSQl37twR8/llOnckeuaIiAguXryIkpISNjY2tG7dGi0tLSIiIrC3t6dVq1bCjpg7dy5Hjx6lpqZGVJQ0dj9RUlLCysqKkydPAjB58mTy8/O5f/8+Ghoacre/moK7d++io6NDSUkJqampXLt2jVmzZomD7759++TSvrp9e/nyZSIiIhg5ciSDBw/mt99+e2rwoTH31NTUxMvLC5lMxsCBA0XbG1rTpf//999/M3HiRLEupKSk8MMPPxAbGyt3/Z6lS5fSv39/AgICRKLb0aNHcXV1fSGKHun9WrduXa/qTLL9hg4dKsZoYmIiH330EefOnUNfX5+UlBRMTExaPKteao+EurTZ8Lg/Ll++jKenJyNGjGDhwoXEx8fz1ltvkZeXx59//omdnZ1cK9ivX79OaWkpQUFBaGlpYWJiIiiTbt68KWzVhtYka2trevXqxdatW7G1tWXx4sWUlJSINeHfLGuuoaHB/v37+eOPP0hMTOTatWvMnDlTnAla0qaVzss//fQTy5YtIzk5mbCwMM6fP49MJmPz5s1oamoyY8YMBg8ezJ07d0SWvIqKCunp6dy4cYN58+bVG+sNISoqim3bthEXF0fv3r0JCgrCzMwMS0tL1q9fT6tWrXB2dpaLHV+X/nX//v1kZmZSXFyMsbExdnZ2dOjQgatXr2JoaIiTkxMdO3ZEV1dX+FGkeaCvry/s0/81KCkpifeQaPBra2tJSUnh3LlzVFVVMWDAAHr06MGCBQtYs2YNISEhdO7cWe77vtSfb775JuXl5YSEhCCTyXB3dxcavtLzpGcXFRVx8eJFHj58iLu7+xMVwq8C/fr1EywqmzdvZuLEiaipqf1PrDPPw549ewgNDWXRokXMnDkTFRUVhg4dyjfffEOrVq3qndO6devGu+++S9++fenTpw/+/v7cvHmTs2fP4u7uXk9qoyUQEBBQz17OyMhg+PDhrFixgrS0NGbNmkVcXBzLly8XmoZ37twhPDyc0NBQYd++aGJ7YWEhlZWVtGvXjvfee49z584RFRXF+PHjBftRU9ezqqoq4uLicHFxYfv27axevRobGxvc3NxEHzwvKfJFz4GNhb6+vkjaeOuttzh06BC6urpCx/1Zzzt//jzJycl88MEHGBkZ0aZNGzp37kxhYSEPHjygqKjolQXCFBUVkclkpKSk8OjRI0pKShg6dCiFhYWEhYWJfUGqZJbQmH5WV1cnJyeHnJwc9u3bR9++fcU3rK2tFb7YxvRVZWWlCDqePHmStm3bChpMFRUVCgsLG30vqep79erVfPPNNyJRHRDFE419x+dBmhORkZGCGa62tpb33nuvQSrsus+NiYnBy8uLU6dOcfz4cQYPHsygQYNEEtSrhELt//IO0ERINA0ymYzCwkIxcOWF4uJiBg8eTGlpKe7u7sIR/jwx85SUFCIiIvjjjz+wsrKqx/19/fp10tLSmDBhQpPbIw3aiooKQkNDOXPmDD179qRv376NOowXFxfz22+/cfPmTRISEigoKMDd3R0HBwd69OiBlZVVs3QpIiMj8ff3Jzs7m5KSEjQ0NDA0NBQZbT169EBPT6/J9y0vL+fvv//Gz88PNTU12rZty/Tp0+VCg9kQKioqiI+PJykpiaioKPLz83n48CFvv/02bm5ucnlG3SqMy5cvs3nz5no8xMrKyvXGV1RUFN7e3pSUlFBQUICWlhYWFhYMGDAAW1tbtLS0GrXBz5gxgz59+rB3716OHj2KtbU1R44cYcSIES26ydXW1jJu3DgOHjyIjo6OoEmTuMblaaCVlpbi4+NDUFCQ4OqVyWR8+umntG/fng4dOtQb37GxsXTq1AlFRUWysrLYs2cPv//+O2PHjmXNmjUNftO4uDjOnj1LYmIi9vb2jB49ulkL/7Jly9DS0sLOzo7Tp0/TqlUrNmzY8NJ0YWQyGY8ePSI5ORkzM7NGr5119bTgcYDAx8eH6OhoBg8ezOjRozE2Nv7XZ+XJZDIePnz4xLr5vxLEq6qqYsGCBRQXF6OlpYWlpSWKiopcvHiRo0ePNro/pX7Kycnh6NGjeHp6im8iVa0+S4+wsZCe89577zFz5kxB/9SUMRIfH09xcTHW1ta0bt2aqqoq8vLyhPaNgoICs2fPbnYfVlZW8tdffxEUFER4eDiFhYVYWloKGqtVq1Zx7NixRldjRUZGMn36dExMTJg0aRK9e/euJ0z+PEjfZ/PmzSQnJ5OdnU18fDytW7fmm2++eYKj+1k4d+4cNTU1DB8+vEEqg/+VcQ///S47d+7k8uXLREZGin6S6B+f9T6TJ09mw4YN9dZt6folS5YwcOBARowY0eA9li5diouLCxMmTODHH3/E2tpaOO+lNfV59uE/ER4ejp6eHtbW1lRWVuLn50dgYCBaWlo4Ozvj7OyMvr7+S++j0tJSjhw5QkpKCmlpaairq2Nqakq3bt04duwYaWlpGBoa0rNnT9zc3Ojfv3+zDvd1BeC9vb0JDAyka9eujBkzpkUy45uDLVu2EBcXx6NHj9DW1mbz5s3A46DV8ePH+emnn+S258XGxnL06FEqKyv5+uuvycvLw9PTk3PnzjX7niUlJZw4cYIjR47w+uuvM2vWrOfSv0yePJklS5aIZCIAT09PlixZQvfu3eU2HisqKpgyZQonTpxg0qRJ7Ny5k1atWjF+/Ph61UXNRW1tLV26dEFRUVEIydfVgqhLiX/x4sVmVfjLC9Lx/Z/fdeLEiWzevBlTU1M8PT1ZvXq1SAicM2cO48aNE4E9eYzBq1ev4uvrS2ZmJjU1NZiYmNChQwd69+7Nnj17cHFxYerUqQ06dubMmcPXX39NWFgYERERtGnThh49esi92k9eqEtllZOTwxtvvEFtba2oCH8ZkOZSTEwMO3fuFOsLPHaMnTx5Ei8vL/r378/rr7+Oo6OjsMNlMhnx8fHExsZy+/ZtPv/880ZVyZeUlLBo0SL09PSIjY2lrKwMKysrKisrWbJkCQ4ODnKZ49IY2bVrFwUFBSgpKREdHU2nTp34888/mThxIsrKykRFRYnx5uTkhKOjI7a2thgbG2NoaPhStI9aCpWVldTU1AhtpIqKCvbu3cuvv/6Ku7s7mZmZ4jy6detWudjcT0NmZiazZs3i008/xc3NDZlMRllZWYPJFlJAcvHixchkMrKzs4mNjUVDQwMzMzPWrl0rEqpfJdLS0vjjjz+wtbXl9ddfl7u+48tGZmYmhw8fJiIiAgcHB1Fxn5GRgZqaGq1atUJFRaXefPjn2Rz+u6605LzZtGkTCgoKfPTRR1RXV/Po0SMePHiApaUlXl5ehIWF4ejoSGpqKn369HlC+1UeumbHjx8nODgYgHHjxonkhZqaGoKDg7G3t39ugkBdSG0JDQ3l119/ZePGjcBjOYns7Ox69sPz8KLnwMZi7dq1zJs3T9CTSwn9jbHJFy9eTP/+/RkzZgw7d+7E0tJSBHIkKvSWXJOehoKCAlRUVMQ+nJubS1hYGImJiSQlJSGTyaitrSUzM5M333yTYcOGNUmyJC8vjzVr1lBTU0NWVhb79u0TvuqxY8eyZcsW2rVr16ixGRkZyYoVK9DR0SElJYWDBw8KnbopU6bw+eefN4pqUiaT4e/vT0REBOfPn2f79u3o6+ujo6ODuro6CxcuZM2aNU0az8+CNP+2b99OYWEhn376aZM09eBxoc2FCxc4f/48N2/eZMGCBXzwwQdyaV9z8X86GCZ1WlBQEN7e3shkMvT09DA3N8fc3BxbW1tRCvuikDq6qKiIiIgI/Pz8iIyMJCkpiZ49e7Jr166n/jY4OJiwsDAOHjyIs7MzFhYW6Ovr4+joyM6dOxk7dixjxoxp8sFFev8ff/wRmUxGeHg48fHxyGQyVFRUWLhwoRDVbQyio1SoSigAACAASURBVKO5ePEi4eHh3Lx5k/nz5zeZDqSsrIzMzEw6duxITU0NaWlp3L59m/j4eO7fv09hYSHr169vUsBFes9jx44RGBiIk5MT5ubmXL58merqatasWdNkh1NzUFxcTHR0NB06dJBbtYv0bp9++im9e/dm7NixlJWVoampya5du6itreX9998X19fW1orMjNzcXJKSkigrKyM4OJjMzEyWLVv21Ix+qb2pqamsWrWKAwcOMG7cOLy8vCgtLWXcuHGcOnWq2Znsz0JdY2LHjh3s2bOHR48eoa6uLjaglhakjo2NJTAwkCtXrnDr1q164zs3N5etW7cyYcKEesZ8TEwMe/fupbKyko0bN9Yz0hITE/niiy/o0qULdnZ23LhxAwUFBb744gtxyGksJk6cyJYtWwRd6vTp01m2bBn29vYtZriWlJTg5eVFaGio4IafNm1ak+bm6NGjReZvt27dWsSoa2ncvXuX06dP4+3tzcCBA/nss8+4fv06FhYWLyUL/EWQk5NDaWkp5ubmqKqqUlRURGRkJJGRkWhoaODq6tokvnxpPdq2bRvbtm3DycmJ9957jz59+rSII2jRokUsWrToqRRMz8LmzZuJiYmhffv2aGtrY2tri4WFBVZWVkIHT1581VVVVaSkpHD9+nWuXbvG9evXadeuHd7e3o3etx88eEBUVBS3bt0iISGB+/fvU1BQwPvvv8/YsWMb3ZYxY8awceNGUUl74MABMjMz+eSTT1pk7f5fQGVlJa+//jonTpygVatWBAQEcP78eXx9ffnzzz+fqk2Tk5ODp6cnu3fvFjSEdR0nY8aMYcuWLVhYWDS4Dk+YMIFt27ZhbGyMp6cny5Ytw8nJqdlO6Ly8PBYvXszkyZMFFYWE8vLyl5Yc8TyUlJQQHx9PSEgIKioqvPvuu2RnZxMSEsKNGzeIiooiOzubHj160KtXL95+++0mP2P69On06NEDMzMzrl27RmRkJF9++WWj6GhaGunp6fj4+GBubo6rqyv6+vo8evSIr776Cmtra9555x25ZvpKjq3a2lpCQ0O5efMms2fPfuFgR1FRETt27CAvL49JkybVC3T9E6dPn+bkyZPMnDkTZ2dnrl+/ztatWzl16lSzn98QwsLC8PLyYvHixXz88cfs37+frKws5s+fj5eX1wvdu26iWUBAAKdPn+bmzZs8evSIPn36sGfPHjHPJee0q6srbm5umJqaYmxs3CLJd1K7AgICRNXl0xIaU1JSeOONN1i+fDnt2rVjy5YteHt7i38fN24cv/zyS4sltUVHRxMaGsqtW7e4f/8+SUlJHD16tN4aKf13bGws3377Lfv27RO//7cHMKR5u2TJErp27Vqv+js8PBwTE5Nm2StNgTQe/Pz82LdvHx4eHvTu3Zs2bdqgoaFBVlYWwcHB3Lp1i6tXr4rEhN69e/Paa68JTdPq6urnnkVSU1MpLCzEycmp3pqVkZFBaGgo1tbWTXL2Nvbd5s6dy/Llyzly5AgODg6MHDmSzz77jCFDhuDu7k5NTQ2BgYF8//33eHh4EBISQm5uLp06dWLjxo3/+nHUEKTve+HCBZSVlUWFytmzZ/Hy8uLbb79FW1sbNTU1srOzOXDgADk5OWzcuJEHDx7IPcFb6osjR44QHh7OgAED6lVSPe37jhgxguPHj4szQWxsLCdOnGDixIl06tTppSU/1k3e8/X1pbS0FGtra+zs7DAzM2vyOfzfjtjYWI4dO8bNmzfp168fU6ZMeWItqqqqYs+ePdy6dYuioqJ65/OWXrekNq5bt47ly5c/Qbu8YMECBg4cyJAhQwT9q5mZGZ6envTt21cuz5eo0T08PKitrcXf358xY8Zw/fp1bty4gYGBgaiSaiykefv333+Tmpr6hF+0KWdNeZ0DG4I0Z9PS0li4cCE+Pj7ib5WVlfj7+zN48ODn3mfixIls27YNIyMjJk6cyJo1a0RfLly4kNGjR4uqvpeJbdu2MXr0aO7du0dJSQlRUVGCtru4uFho2fr6+nLp0iU+//xzpkyZ0qS9IikpibS0NLp3746enh4ymYzr16+ze/duDh482KT2xsbGkpSUhLm5OU5OTtTW1hIREcGqVas4c+ZMo+4RGhpKREQEN27cIDo6mi5duqCvr4+dnR01NTX8+uuvnD9/vkntagzmzZtHQEAArVq1wtXVFXd3d/r27fvMM2hpaSlFRUVUV1djamoqbAnp/PIqk+L/T9MkSoP74MGDWFtbY2trS35+Pjk5OURGRqKiooK1tfULG03SQigFQlxdXUXAITMzk7y8vHrX1cXdu3fZtWsXGzZsICgoiFGjRpGWlsb9+/c5ffo0urq6TaaxkiBdHxYWxjfffENOTg4rV64kPz+fAwcOiEBgYw/lnTt3Fpm3UnYQNI2O59KlS4SGhrJ69WoKCwvrlXCXlZWRnJzc5EOa1Hd+fn7MmjVL0H8MGjSIpUuXEhoaKsr5XxTSWMnPz8fLy4uQkBAsLCywtrbG3t5eVLfVbdeLoC5VghQIkTIuwsPD8fT0BP7bBwoKCrRp0wYlJSW0tbXrGYHp6emibc+iu7l16xY9evQgICBAOPuTkpIwNTVFXV29RResjIwMcciXHLehoaGCCkbepeJ1IYl+zp49+4nxraWlRbdu3Vi7di0GBgZMmzYNFxcX7O3tefvtt7l8+TJKSkqCzkJJSYkzZ87Qq1cvFi5cSFVVFf369ePbb7/l2LFjTJ8+vdHtSklJEWXn1dXVgoZCyvSV94FP+sanTp0iMDBQiGQGBgby+eefs2bNGjGOnodVq1YRFBTEmTNn2LVrF7q6ujg6OuLi4kL37t3/FeXRz8Pvv/+OoqIihw4dYvPmzXz11VckJSURHh7O1KlTWbly5atu4lOxd+9e4uLihGamnZ0dLi4uDBgwQFzTlP1Pmnvz58/ntddew9fXl3Xr1vHgwQPU1NTYuXPnC9MvSe25e/cu9+7dY+3atbz//vuYmpqiq6vb6Iyzt99+m4SEBPbv3094eDidOnXCwMAAZWVlOnbsyKRJk5pVgdwQlJWVsbGxwcbGhilTplBSUkJpaWmT7mFoaFjPdsjIyCAyMlIcMhqz7sbExKCmplYvuDN8+HBmz579/2QgTBpL2dnZTJgwQVCoDR8+nOHDh7Np06Zn/j4nJwdNTU2+/fZb9PX1sbW1pUOHDlhbW1NQUICqqqqgAPvnHEpJSeH27ducO3eOdu3aUVZWJpyGzd0/AwMDMTExYejQofWqQsrKyjhx4gRmZmaNOszKE3XXj+zsbFRVVVFXV0dDQwM7OztBsWdiYsJ//vMf+vbtS3p6OufPn2ffvn3cv3+ft99+u1HjW3pWeno6JSUlgp9/woQJ+Pv7c/ToUXr27PnK6WrbtWsnxOklpKen065dO6HvJE8bSgrAKCgo4OjoKKgom/IM6dsmJydz69YtSktL0dfXJzs7G19fX0xNTenRo8dT+8nd3Z2kpCTWrl1LQUEBAwcOFP0jT5vRxsYGDQ0NpkyZQteuXamsrOSPP/4Q9lBzbUTpdw8ePMDQ0JAxY8YIx29CQgJxcXHiXZSUlDAyMmLChAnEx8fj5eUl9qbZs2fLLQtXgvTtrl27RkBAAA4ODhgbG2NjY0P79u2xtbUVjt02bdrw+eefc/XqVY4cOUJBQQHLli3jtddeQ1NTEy0tLblXjlZXV6OgoICiomK9c2J5eTlJSUlPrJHSN8zNzUVBQYHz58/To0cPDA0N//UBDGlsJSQkCA3tiooK1NTU2LZtGzNmzGhxp7I0HuLj41FWVubixYvEx8djYmKCvr4+rq6ujBs3joSEBNzc3ETC09GjR9m5cydffvklw4YNa5SD1s/Pj6+//hpdXV2cnJzo378/Q4cOFUnFLfVupaWlaGlpkZqaWs8mMjU1FQm94eHhjB8/nunTpzNnzhxycnIEdVNjKXf/TZDe/fLly4J+SyaTcfnyZQYNGlRPy8fExIQ5c+bw448/snr1amQyGV9//XWLtEdigNi6dSsnT55kxYoVTyQ23rp1i4iICHr16sWoUaOQyWQiGGZnZ1fvnPSyHJ6SjbR9+3bu37+PsrIy4eHhVFdXo66ujqen5xOVR/9rkPTzUlJSBFWapB3q7+/PrFmz6iXTBwUF4eXlxbJly6iurub27ducPHmSY8eONdmZ3xzY2dlhaWnJF198weuvv46lpSWtWrUiNDSU8vJy3Nzc0NHRYezYsYwdOxZfX1/Onz9PSkoKI0aMaBb9c11cvXoVd3d3ocGnoqLCrl27cHd3F4xETU2el8bz/v37iY+Pp6amhjfffFP4MpuSdCmPc+DTIO35gYGBdO/eHUDoZ1+/fp19+/Y9V2c2NjaWR48e1aNxrJuUnZGRIVcK5qZg2LBhmJubs3///8feecdVWff//8mQjWwRxAEICiguFAhRVArNbeZMM2+tvNNyVFbeZqZmlnvlzpETUJPhxMlQGbKHshGRISAc1mH9/vBxXTc4GUfl7vt7/ZUdznU+12e8P+/5eu8nMjKS7OxsNDQ0MDU1RVlZmejoaFJSUrCyskJfX19MbG/MXSH0QhZQU1ODqqoqX375pfjvhq6P4HMUUFpailQqZe7cuQ1+1tGjR1m6dCm9evWipqYGTU1Nbty4QWhoKG3atKnX91aW9+H27dspLCzk5s2bBAYGsnbtWoqKivD396+3d56mPfbw8KBHjx5oaWnx/vvvM2TIENF+eZtMAP/oYJgwsVKpVFRa4Ukz2OTk5BdmAzcWwgZbvHgxmZmZdO7cGXt7e9577z26d+8uOmCetxEjIyMxNTUlLy+Pbt26iaWm2dnZYtZGUzewnJwcEomEqqoq2rVrR0JCAubm5nTr1g1PT0969uz5wnG9CkpKSmKGdGM28I0bN0RBuX//fkxMTPjwww+prq5GTU2tSb0FhN9XVVUlLi4OW1tbFBQUUFFRIT8/X3R4ysL4E4TmgQMHgCeBqZCQEKKjo9m4cSNffvmlTJtTC2MeOXIkixYtYsaMGZiamooUBPb29sCTOcjNzeXChQvEx8dTW1tLUFAQjo6OYtPaQYMGiQbz8+YhNzcXfX19XFxcSEhIYPXq1cyYMYPi4mL27dtXr2+ErCG859ChQzl58iSLFi3iww8/RElJiVOnTj2TBf+68fT+VlNTY9y4cYwdO5ZTp04RGBhIZWUlAwcOxNbWVszqqHsWysvLRaNYUVERQ0ND2rRpI85fQy/NrKws8vLymDRpEp07d0ZTUxMNDQ0x+CbrC0TYG7dv3+bTTz8V6dWGDh3K3LlzxaB9Q86TQNs1d+5cpFIpoaGh+Pn5sW3bNjp37sy2bdtafAZnbGwsy5Yto2PHjqSmpjJq1ChWrlzJo0eP+Pnnn4mPj2+xFW///ve/RRo/Ly8vPDw80NPTw8LCAlNTUwYOHNjgTHaJREJISAgODg6oqKjg4OCAg4MD8MRx4evrKzq9mrOmdXs+Wltb8+DBA9avX4+hoSFGRkYMHjxYVORfhNraWnR1dTE2NkZBQYGrV6+Sl5dHaGgou3fvpqKiQmaBsOdBQ0OjUQpeeXk5N2/eZNu2bSgqKjJkyBA++OAD0XH+qucI821iYkKbNm345ZdfmDhxIubm5oSEhNSjsmyJ1FOvC8J9ffr0aS5cuECnTp3EPrENga2tLadPnyYmJobg4GDCw8O5dOkS2tra5ObmirzzzzM0nueU/v7775tFM3358mUx41J4t6qqKjFAHBwcjKur6xtb5/z8fE6cOEFsbCyFhYWYmJhw584diouLsbe3Jzo6mhUrVqCqqoq/vz/Xr19HR0eHlJQU+vXrx7p160TDsiF6hSAbhN5vdaGnp4dEInmGDuhtoLa29hl9wMLCQqRBAdklsdTU1CAnJyc+r6lBb+H7K1aswNjYmMzMTNEx079/f1HW18Xq1avp1KkTdnZ2mJubM3/+fObPn09FRQVlZWWi40oWe1FYUy0tLaZOnUpFRQWPHz/Gzc2NQYMGiQwJTZ1XYYyffPIJ6enp2NvbM2DAAFxdXcW1y8vL49ixY5w/f57BgwczefJktLW1uXv3LtHR0aSnp8s8ECa894MHD0hNTeW9995DW1tb7Mnm7OyMra0tEyZMAEBdXZ2pU6cydepU4L+MHl5eXkRERIi9I2UZLKj7HKHHkby8PKqqqs+16YS/j4iIoKioSJQhxsbG6Onp0a9fPzQ1NWUytteBsrIyrKysiIyMxNXVVbSr8vLyGkVH3Fx8+umnTJo0iXv37hETE0NycjLBwcEMGjSI0tJSzp8/z+XLl8Ux6+vrc+PGDbHKoiFy8uOPP+bjjz8mPj4eHx8fPD09+e2330Q98qeffpJ5/+Lq6mr27NmDvLw8rq6ubNy4EQ8PDx4/foyFhYXoXL5z547o26mursbQ0FDUdf7XAmHwX9mVn59PXl4e8MQWzcnJEW0MqVSKoqIi1dXVaGlpkZWVRWFhIUuXLn2t4xLugf3797NkyRK2b99erzo1JyeHXbt2sX79eioqKrhy5QqfffYZDg4Ob4w+9GkIeyAmJoYTJ06I/46Li+PatWtiJd3/sl48ffp0ysrKcHNzEyng+/Xrh5OTE4cOHSImJoYxY8aIibTp6enMmTOHQYMGIZVKcXR0pKioiKqqKuD1VuYGBwdTUVHBypUrOX78ODdv3iQ2Npb8/Hx0dHQYNWoUZ86cYfDgwaJMGTx4MNra2nh6eoo9Gfv06dPkMVy7dg1LS0uys7MxNDTk0aNHoowT0Ng5EP52/vz53LhxA29vb/bt24e2tjZWVlasXr26QVWIzbUDGzpOHR0d8vLySE1NFfXo8PBw+vXrB7xcN0hOTiYjI4Mvv/yS4uJiMVFdSDrU0tJCS0vrrejggn69dOlSJBIJUVFRhIaGEhMTw/379zl48CAqKipi8oqAxtwVT7+XiopKveBfQ9fnefOjrq6OnZ2d+IyGPCs9PR1PT09Onz7N3r17adOmjRg4FZJGQDb3YV22vZqaGhwdHRk6dChDhw4FntwBT/ccFPaSu7s7lZWV3Lx5k7S0NHx8fNi9ezddu3ZtVp9fWeEfGwyra0BUVlayZcsWhg8fTseOHdHR0aknTJtzYIXfyc3NxcXFherqakxMTLh27RoHDx6kXbt2jBo1SsxCeBrm5ubs2LGDkydP0qVLF0JCQrCxsamn1DUHxcXFjB8/nqKiImxsbLh27RrGxsZERka+Vmfgi5CcnMzChQuBJxU/QhZzcwS8sAbTpk1j69atVFdXY2pqyq1btwDEtZaFYBaeER0dzapVq9i5c6fI6/vll1+KfRVkpVwJv+fs7Mxvv/3G1atXiYyMpLS0lJUrV6KsrCy+/6ZNm8Ts8EmTJrFkyZIGO9ukUilbt25lzJgx9OrVi8GDB5OamsqKFSs4ePAgH374odgE93UojcIzVVRUWLJkCceOHWPdunXk5+ezcOFCsbLvbRo4wpq6ublx9epVtmzZwoEDB5gyZQqurq7P7K+hQ4eybNkyysvLsbS05PHjx4SHh7NixQqgYftRuHBCQkIICwvjypUrxMbGkpmZyZQpUzAyMmLmzJkybVAvrEX79u1FGhRNTU2RZk9Qnl6l7Aif5+TkcPfuXfLy8hgxYoQYVBUq79624/JlyM/Pp6SkhM6dO1NbW4u+vr6oNOvp6ZGVlSUGTVvae2RkZJCSklJPWUlKShJ7c9y8eVPMPm0ILl26hJ+fn6j4JSYm4uPjg7q6OuPHj6/X11IWTdQtLS3FbNK0tDRCQ0O5evUq+fn5wMtlrLAW3t7eaGlpoaqqSvv27Wnfvj2GhoZcunTplc94ExCUS19fX3x9fZk1axaFhYWcOnWK6OhokV//VRD+RlNTk48//pjDhw+zYcMGwsLCcHR0ZNasWcD/dpPwpkC4LwRasVWrVrFixQp69+6Nk5MTU6ZMeWnwQKjyFRIe4IlOFRERwa1bt0T95Xlr9CKn9KVLl1i7dm2TaKZVVVXrrWF1dTU1NTXAE8fyiyiQXxeCgoLYuHEjc+bMoVu3bhgYGPDOO++we/du/vOf/6CoqMjgwYORSCR8++23LFy4kLZt29K+fXukUmk9ysmG3u01NTX06tWLP//8kw8++ICxY8eir69PUFAQPXr0EP/mTesKdSnghADV8z5vLrKzsykoKMDExAQNDY1n5FdzZdq6devqBXSefp7w3wL1j7e3N7t370ZLSwsbGxucnZ3FyiVZQk5OjsjISFRUVFBXV2fWrFmUlpair6+PlpZWk5Lznn6+VCplxIgRZGZmoqyszOHDh1m5ciUdO3bkgw8+IDMzk+rqaqZNm4a3tzfR0dFs3769nnyQNYS9fPnyZUxNTZk/fz7wX+d/QkICJ0+eRFNTU0ymrIunGT0qKirE930dECrEXvb85ORkUlNTGTRoEFOmTOH27dvExMQQGhrK48ePX5ns8rahqqrKoEGDWL9+PVFRUZSWliKRSLCyskJVVfWN6BU1NTWUlpZSVVWFqampaOc+evQIHR0d4uLiaNOmjZg4oKqqyoABA9iyZYsYaGyoDSInJydmsS9atAgAf39/PD09ZbqP6vYjad++PWPHjmXYsGHiHTdixAg++ugjBg8eLNpUQnb//2Lw63nIzc2lpKSEX375RUxa7tSpE3v37mXr1q3PyLmMjAz++usvmQfhhWcvX76cVq1aoaurS0REhNgv7Gn57urqKupDwcHBnDlzhpUrV8qUNaIpKCoqwtbWllu3btGzZ0/U1NSwsrKqR9H3vxoIAxg4cCBnz54lOTmZr776Cj09Pe7du0dtbS2zZ88WfUDC+bhz5w7q6uoMHDgQHR0dlJSU6gUrX6cNW1ZWxsWLF3n8+DHjx49n+PDhZGRkYGRkhLa2NhMnTuSHH34QK06FvnlmZmb8+OOPnDt3rtnjMzY25tGjR2zZsgU9PT3OnTvHv//9b4qKisSKsMb8Rl29zs7ODjs7OxYsWEB+fj7h4eEkJSW9MhAmKzvwVRCe4erqys2bN9m/fz89evTA39+fx48f8/XXXwMvPw/9+/fnwIEDpKSkEBERQUJCAh9++CEmJiakpaWJySBvqzK3traWwsJC1NXV6du3r+hvys/PFwNDTaVHravb152jpuj2L/r7xrZu+Pbbb9m6dSvp6eksXLgQMzMz+vXrR79+/RrVD60hEN75woULHD16FH19fUxMTBgyZAguLi5iMLLu3AjvGRUVxeTJk1FQUMDMzIx58+aRlZVFQEAAEyZMeOv+s390zzB4EnA5dOgQRUVFmJiY0Lp1a3R1dXFwcJCJA1kQYn/88QcFBQX88MMPADx+/JgDBw5QWVkpUvQIUffnwcXFBSsrK6Kionj06BGdO3emd+/efP311zLLkPPy8hL7DE2bNo3Ro0e/Vtq5p/E0l/2mTZs4ffq0TJ5dt+fUkSNHyM/Pp2/fvri4uGBjYyNT40QqlTJz5kz+/PNPpk+fzrJly+jatSuzZs1i2bJlMqN+W758OfPmzSMuLk5sSP20A6kurl+/TkREBFKplMzMTKRSKSYmJlhaWmJtbf3S6pWCggJ+//13Ll26RNeuXZk3bx59+/alurqa+/fv07FjR5m80/Pg6elJq1atcHZ2Fis6WhKEvSX0MKuLS5cu4e/vj7m5OdOmTXuGGzowMBBfX1+kUikFBQWMHj1aDCo2FOHh4WIVp4Dy8nKRfnDKlCn06dNHpns8NTWVzz77jJqaGoYOHSo6XeTk5FiyZEmjlIlFixZRUlJCQkICnp6eKCgokJycTI8ePVq8ESKRSIiMjOSdd96htraWhw8figHvnJwcvvjiC9zd3d/yKJ+PrVu3Ak8oDePj49HQ0KhHa9NY2b948WIcHR0ZM2YMCQkJbN26ldTUVOTk5DA0NBSp5GSB6upqrl+/TkhICDU1NSxevLhJzwkMDOT48ePMnTsXCwsLqqur+c9//oOlpSWffPJJk89MSkoKmpqa6OnpyYRi+YsvvmDMmDH1gpPz58/n3XffrZcV+Dw8XbEHTyr14uPj0dPTE8f5//EESUlJeHl54eXlxbFjxxrUZ0PIfnyVk7ehqNuEvjF7MCgoiM2bN7Nx48Z6zqjS0lLGjh3L0aNH3+j9WVpayoEDB/Dx8WHixIlMmzaN33//HXl5eRYtWkRSUhI//fQThYWFFBYW4uLiIhqoze1vUl5ejre3N7GxsQQHBzNhwgRGjx5N69at35phVVhY+AyNj0CdLKu9s3//fsLDwzE3N8fY2Jh27drRrl07DAwMmlwVJuzB4uJivLy8CAkJYebMmSLd4qsgyJtLly5x9uxZqqqqsLGxYefOnU0az9PIzs7m+PHjnDt3jvT0dDHjetq0aTg7O8uE8UFeXh5vb28uXrzIpk2bxM927txJWloaEomE1NRUNmzYILKKzJo1i88//xw7OzsqKytfKz3nhg0byMnJYenSpSgqKqKkpMTOnTsxNjamurqa2NhY0f5806iqqqKysrJByXc3btzg4MGDREVFUVNTw4gRI/jxxx+B/1LlyzK563UiLCyMwMBAysrKMDY2ZuzYsaipqb1W+SPoDD4+Pnh7e4s02MbGxpiZmeHo6CjaoFu3biUiIoLhw4fz6NEj4uLiUFdXZ/ny5Q3S/+rSan3++eeMGjUKV1dXBg4cKLN+q8/7vXnz5jFv3jyR+lT4TCKRcPz4ccLDw7l37x6FhYUMHjy4WdXWLQ1SqZTy8nJycnKIiooiJiaGW7duUVBQgJaWFqNHj8bOzk4M1ufn57Njx47XMpa4uDgiIiJQUlJCT08PKysr0QchsJwIDEQCE83TTBMCa8TAgQPrfed1Q/gdPz8/Vq1aJdI0d+zYkTZt2mBgYPBGesm/blRWVhIREYGHhwfFxcUMGTKE4cOHP9dGl0qlrF27lkuXLqGmpoaJiQk9e/akb9++zaq2aijKy8sJCAgQe3JNm9w9bgAAIABJREFUnz5dDJCmpqby/fffc/To0We+FxISwuXLl5k/f/4L/V8NxaNHj0hLSyM1NZX79++TmpqKsrIyCgoK6OrqMn/+/CZV9wjy9NGjR0gkErS1tQkODsbY2FhMRnkRZGEHvgq5ubnU1NSIdoPA6pCeni4yR9WVt69CTU2NWJ2fmZnJ3bt3uX79OnPmzGlWX+SmQvi906dPc+bMGWJjY+nRowfm5ub07NkTBweHJp/3+Ph4tLS0RN9P3d8Ugn4NlWmFhYVUVFSIgWhZ4Ny5c1y7do0RI0Zw9epVUlJSyMzMpG/fvvz8888y+Q0B1dXVrFmzBhMTE6ytrYmOjmbPnj3IycnRo0cPfv755+faoH/88Qfl5eUsWLAAeCK3pk2bxsqVK8Vk8/8fDHsNqEtTkpOTQ0ZGBqmpqTx48ICUlBQmTJiAg4NDsxdA+P7vv/+OlpYWn376qfjZ77//joWFBQ8ePKCiokLcBHUhCMHExESR1zs/P5+LFy9y7tw5duzY0awmn897v6SkJNq3by+zg9hQlJSUcPr0aQICAkhKSpKJIltVVcWFCxcICwujoKAAZ2dnBg8ejKamJpWVlSgpKcn8kEmlUlJSUmjfvj379u0jNzcXExMT3N3dZdqoMCQkhN69e7NgwQLS09PR0NAQ56pHjx7PjfqXlpaSk5NDTk6OSKuSnZ1NVlYW69evf6WjTCKRcPDgQeLj4+nWrRuTJ09+7XQlSUlJyMvLc/HiRdavX4+JiQnvvPMO7777Lo6Ojq/F6GoMhEtWoIBwdnamb9++uLm50bFjR+Li4vDz8xMbuOvq6tK3b18x26qiooLKysomNVbPyMhg0qRJIu+xq6srvXv3rsdZLGsI75uRkUFycjIBAQFiI1dLS0u6du1Knz59XprlJ5y54OBgDhw4wJo1a5gxYwbu7u4kJSXx/fffc+LEidf2Dm8Ce/fuJTY2lnXr1r3RpIKG4l//+hezZs3C0dGRzz77jDFjxjBs2DAqKytRUFBotKI6cuRI9u/fj56eHmvWrKGwsJDFixejra3N7NmzmT17Nv369WuWvBX23rVr1/D09ERJSQmJRMKOHTu4c+cOOTk5uLm5NehZVVVVJCYm4uHhgY+PDx07dsTIyIiysjKWLFlC+/btmzzWadOmkZmZKfa/6927Nx06dGjSGQf45ptvGD16NP379xf/38yZM/niiy/o06fPS8d5+vRp/Pz8WL16NRoaGiQnJ+Pn54eysjIjRoxocckFbwrCnFVXV3Pjxg1SU1PR1dXlnXfeaXDPwxehbm/INwmJRMKKFSu4cuUKDg4OmJubo6Ghwc2bN+nSpQtff/31WzEqgoKC8PDwoFevXpw4cYLVq1fXS0IqLi4WqYlCQkJ48OABNTU1fPHFF2Lf04YgOzubv//+m5qaGtq2bUuHDh3o0qXLW6Nhenps06ZNo2PHjtjY2ODo6EivXr1krmcnJSURHh5OYmIiOTk51NbW0rp1a4yNjdHV1WXIkCGNrhIQ1mnOnDn079+fDRs2sHbtWlxcXDhy5AgDBw6sR2VSt+l6cXEx5eXl+Pn5IScnR0BAALdv32b69Ol89dVXjWoe/yL8+OOPKCgoMHbsWGxtbYmPj+fUqVP4+fmxfPlynJycmrXvhe9u3779GVvt8OHD1NbWUl5ezvbt27lx4wbKysooKioybtw4Dh069Eb2X25uLitXrqR9+/Y4OTlx7949Tpw4wR9//MH27dtxdXV9403rhX1z5coVoqOjmTdvHgUFBcTGxtKnT5/nBmcXLVpEnz59mDJlCklJSaxfv55Zs2a1+Gqwuqi7116WoPg6MWLECHbv3s3cuXNxcnIiKCiIR48esW3bNqysrNi4cSMffPABly9fFitFTE1NGTFiBG3btm2ws1JwEZ07d46rV68SEBBAcXExbdu2Zf78+c+tRmwOKioqWLVqFcrKykyfPh09Pb0X9okVqq3DwsIIDw9vUrV1S0RiYiK6urpib7+cnByxd1h4eDjR0dHU1NQwYcIERo4ciZGR0Wu79wUKvZfpkU/roE+zRjS3z1NzIJVKuXPnDlFRUYSHh1NUVIRUKmXOnDlvvJJe1nj6bg0PD8ff3x8ABwcHevToUS9Bo6amhurqaqqqqoiNjRWrcWtra9m8efMbHfuFCxe4dOkShoaGjBs3jsDAQCIjI1mzZo1IY1e3f/R3332Hu7u7zHtd5ubmkpSUxL1792jVqhVTp05t1G9s374dLS0tQkNDxXtP6JtkZmbG/PnzG1w13hw78FU4c+YMHTt2pLq6moCAABwdHenatWs9m7U5z6+urqasrKzJNrCs4ObmxvHjx5k2bRpubm54e3uTn5/P0aNHm9waadmyZXh6etK+fXt69erFkCFDcHJyalLy2YYNG0hNTaVXr15iQpuOjg4aGhrN0iMkEok496WlpcTHx9OqVSu6d+8uE/9UXd/M3r17OXjwYL2Kxnv37lFSUoK+vn69OIiABw8e8MUXX5CWloa1tTVt27YFYO3atc0al6zwjw2GPQ/CQY+IiMDCwuKFClZTEBkZycKFC3F2dqZHjx7Iycmxf/9+duzYwdq1axk+fDguLi7PHQ88ycC5desWffv2fS1ZcXWdN2PHjuXIkSNvPYOquYqsRCJh3759eHp6MmrUKGpqaoiNjaWqqopvvvnmtdGW1MXDhw/57bffMDQ0ZODAgTg4OMhE8NTNMpVKpdy/f5+4uDgiIyOJj4+noqKCY8eOvfI5RUVF5OTkkJ+f/9LKROFvhcyJK1eusGnTJvLy8hg3bhwzZsx4I05VqVSKn58fZ8+eJSwsjLy8PPbv3//cfhVvCsI5PXPmDAEBAaioqBAfH09ERATt2rVj/PjxTJ8+HXV1dUaOHMmGDRvo3LkzlZWVrFq1isDAQKysrPjuu++eySxpCHJyciguLmb9+vVERkaipqaGkpISnTp1Yvz48a9NoRcCqwYGBqirq5OQkEBwcDDXr1/n3XffrUeL9zSEi3PHjh0ih3RAQACrVq3i0qVLnDlzhs2bN7fIIFJdvEg5rKys5MGDB8jJydGhQ4e3Trf3NMrKypgyZQqnTp0CYNKkSWzfvh1dXd0mzXlZWRmrVq3C1taWHj168K9//Yv169fTp08f8U7Zu3dvs2WEMLYff/yRYcOGkZ2dLVLr7tq1i4yMDFasWNEgisSgoCDOnz/PTz/9RG5uLoGBgVRVVTFy5EiZOK/i4uK4evUqgYGBZGZm0rp1a7p3707Pnj0ZPXp0gxzAwlivX7/OokWLeP/99+ncuTOKioq4u7s3iIbo6Yq9LVu2kJKSgry8PEZGRqxZs+a1UOi0dAh7aevWrSQkJFBcXIyWlhaJiYnMmjWLsWPHNug5qampGBoavnV9qS6Cg4Px9/cnMTERiUTClClTxCDx28qwCw8PZ8uWLdy8eZNffvmF0aNHv/Bv8/LyCAoKwtjYmD59+jRIJt28eZMjR46Qm5uLgoIClZWVSCQSBgwYwJw5c956lndlZSWRkZEkJiYSERFBamoqFRUVmJiY0L17dwYNGtTsPsUVFRWUlJSIclYikZCYmEh0dDRJSUlkZ2fz22+/NckhUVFRwdSpU/Hw8GDSpEns2LEDbW1txo8fz4YNG55hPNi5cyePHz/G399f7PerqKjI2LFjadOmDWpqaqioqMhkP7q5ueHp6fnMe61fvx6JRMI333zTrPMp3CcpKSnMmjWLvn37MnjwYIyMjPj111/5+uuvOX78OGfPnsXU1JTOnTtjYGBAaGgoJ06ceGNnLioqCnd3dxITEzE1NcXFxYWBAwcybdo0/vzzT5natA2BcG4XLlyIq6sr77//Pr/++iseHh7Y2tqyfv36ZxzhEyZMYMeOHeIenj59OvPnz6d3794tXh9sKcjMzGTRokUcOXKEcePGcfr0acrLy/nmm29Ys2YNxcXFzJw5Ex8fH+CJnKipqZGZjPTy8uLIkSN89tlnuLi4yHT/JyQk8N1331FbWyv26uvcuTOmpqaYmpq+8HtNrbZuSZBKpezevZsrV65w9+5d9PX1mTp1qugXqa2tpaSkRKxEUFZWFql5ZS1/qqqq2LNnD7du3UJRUZFt27ZRXl4O8Mw+epOsEc1FQUEBt27dwtbWFmNj47dekdAcHD16lLt371JWVoaFhQXq6upERkZy9uxZysrK2LBhwzPB6jt37oj9mNXU1KisrKSoqAg9Pb3XOhfCmQwLC8PY2BhDQ0NiY2Px8PAQ+6s/ePCAlStXineAcB8cOHCA9PR0li5dKpM74kXv2djEnbS0NNzc3OjSpQvz5s1DXV2d7OxsNm/ejI+PD/n5+RgZGb1SFsnCDnwVMjMzadeuHV5eXgQEBIh0f23atEFbW5vhw4eLAYr/NQjzFxUVxaZNm9iwYQOffPIJixYtYuPGjXTp0oVly5Y1a98UFBQQGhrK9evXRd+kiYkJ3bp14+uvv26wzh0dHU1gYCBxcXHk5OSgrKyMjY0N5ubmGBoa0qdPn0b7JxISEvD19SUxMRErKytGjx4tM4ayp3Hp0iVOnz7NL7/8It4Dvr6+3LlzBzc3N/bs2SNWKsfHx2NmZoaCgkK9fo23bt1CX19fZMlqCTL4H9kzLDs7m7t376Kqqsrdu3eJiYkRM8zDw8OxtrauR4PRVNTNCLO1tWX37t2cOnWK27dvk5aWxsyZM1FXVycvL09sWFsXdXs9paSk8PDhQzZv3oyOjg6//vprkxvxZmVlUVFRgb6+PmpqasjLy4vCODQ0lKqqqjfGa/4yPM1lL/QQaui4Ll68KGYgaWhoUFZWRn5+Pn/99Rdff/01J0+efC1ZCklJSezfv5/i4mLWrl3L+vXr630uC2PuxIkT3Lp1Czs7O3r06IGlpSVmZmYMHz4ciUQiNtd9WogI3OrC/LVu3fqVBlB+fj4//vgjnTp1IiMjg/LycgYMGMD06dPZt28fu3btEptuyxr37t1jwYIFjBo1CmdnZ6ysrBg2bJiowGVnZ791JVroJbFr1y6OHTsm7ikvLy/xYmzdujXvvPMOampqdO7cmbKyMg4ePEhoaCiLFy/G09OT8+fPM2PGjEb9dm1tLXp6erRp0wZ1dXW+/fZb3nvvPYKCgrh8+TK5ublA4ynvXobq6mr27t3LuXPnMDc3R1FRkaFDhzJw4EC6dOnCRx999MreQ8L+69atG8nJyXh4eIhUd76+viKPc0vHiy7oVq1a1aMObWmGd0xMDHFxcUyZMoUOHTrUc6A2ZZ+oqqoyfPhwfvrpJ+BJPzwhuB4TE4OysrKYxdocpUYYW2FhIbq6uhw8eJBPPvkEeJI80ZCqMGEMRUVF4hoZGBi81DnfFAh9B+bMmUNVVRXBwcEiTdgHH3zwyu/XvecGDBjAX3/9xYULFwgODgaeZEw1xNERGxvLt99+CzzJ0NXU1OTw4cNixd69e/eaXbH3vwhhL126dIk9e/agr69PbW0tZ8+e5fLlywwaNOilGcuCYbxy5Uq2bNlS77PHjx/TunXrtzafQjXi02f5ba5xz5492bt3LxcuXODQoUMUFBS88L7T19dn5MiR4r8bIpO2bdvGmDFjGDdunHgnh4SEsHr1arp06cKYMWPe6vs/evSIPn360KdPHyZOnEheXh737t0jNjaWwMBAamtrMTc3b5befeXKFQ4dOkSfPn2wtLTEwsICS0tLkUY5Pz+/yTpvdHQ0Xbp0oaCgABUVFbS1tcUKvqcNa4EuUEtLi6VLl2JlZfXCQF9z1+POnTt06tSp3nsJyWKzZ89m1qxZza48E9bD1NSUXbt2cfr0aby8vIiMjOTTTz/F2tqaoqIizp49y6NHj8TevXl5eUyePBkjIyOmTZsm8+qmuvs5NzcXVVXVZ2iqq6qq2Llz5xsPhMF/z21ycjJOTk74+PhQVVXFzZs3mTdvHikpKfXmJDU1lcjISP7++29sbW1p164dEomE3r1713teS4SwFunp6Whqar7VBJOcnBwGDx7M/fv30dDQoLCwUEz4UFNT4969e5iamhITE0Pnzp2bZQc/z0E8cuRIQkJCRB1QljK3S5cunDp1ipSUFG7evElkZCReXl6MGzcOU1PTF8p4JSWlZvcNfFsQ7oSgoCBu377Ntm3bMDQ05MKFC5w8eRJ7e3u6deuGnJzcc9dSlvNftwLg3r17jB07luPHj6OkpERMTAy+vr4sWbKk3nee1kE1NDQ4dOiQqIMmJia+UR20Ln2jr68v58+fx9bWFmtra7p164abm5s4jv9VnVgqlRIZGUn79u0pLi4mMDAQHR0dOnXqxEcffUR4eLjYGqMug9W9e/eIj48nPz8fFxcXfvnlF5FG/U3MxYYNG5gxYwZt27bFxsYGGxsbrl69yubNmykoKGDhwoV89NFHmJqaoq+vz/379/Hz8xN1yeYyeQlBIOE5gi9DTk6u0XqEnp4e3333HRcuXCA5OZlPP/2U+Ph42rVrh6qqar1q+hdBVnbgy1BZWYlUKqWwsJCRI0cyYMAA0tLSSEpKIj09ndjY2Ebbx0/rsW9T9xZ+Nz8/Hzc3N1JSUtDR0SE1NRUTExMKCwtRUFCo19e3oWN98OAB9+/fx87Orl5fxIyMDIKCgggICGhUIla3bt1E+vHKykpCQkLYvn07x48fp6SkhODg4AYFw4R3SExM5Oeff8bGxoYhQ4YQHBzMH3/8wbJly5rFKvci2Nvb8/fff7Nw4ULs7OzIy8sjMTGR2bNnP9PS5Y8//mDNmjX8+uuvaGlp4eTkhI2NTb1+jdAyZPA/Mhj222+/4ePjQ6dOnbC3t8fGxobt27fj6OjIli1bxKBLcx3If/75J3Z2dsjJyZGfn4+zszMLFy6sd9DKy8v56quvnru5BUFy5coV1q1bJxqTBw4c4OLFi3Tv3r1JZZg7d+4kPT2dbt26YWFhQceOHdHV1cXExAQ/Pz8xMNeSigKbosgGBAQwZMgQNDQ0qK2tFS+fRYsWUVpays2bN0XBJSvk5eWxdOlSxo4dKwZU7927R3BwMB9++KHMegYICk5ycjI3b95ETk4OIyMjunXrJjYyhmeFyPPm7lX7PDs7m9jYWFRUVJgzZw5SqZS4uDixQqOoqKhBl3pToKenx4gRIwgPD+evv/4CoGvXrri4uDBo0CCMjIzEfi1vEwkJCbRu3bqeIWJvb4+fnx/fffcdCxcuRE1NjU6dOgFPMiLCwsKYM2cOQ4YMoXXr1mzcuLHRwTA5OTlx7RITE/n2229RVlbGxcVFzMgE2TgRBOXm+vXr3Lp1i59++omamhpCQ0NZu3Yt6urq9O7du54i+Sr079+fixcvcvv2bebNm0eHDh0wMTHhvffeA/73jFZoGVksL0NtbS12dnYEBARw4cIF/P39ycnJoXfv3nTv3p0BAwYwZsyYRveRcnR0xMvLq17vvMLCQry8vLC3twdk1zR34sSJeHh4iCX1Pj4+ZGRkiHfXy/aNsDZHjhxBIpHQvXt3mTbuFtZfKpXi7++PtrY2FhYWODo6NirIO2fOHNasWcOVK1fo1KkTvXr1okuXLi98n+ehrKyMHj164OfnR48ePfDy8mL9+vUitW1eXp5Iv9yS9+zrwsOHD5GTkxP3q5ycHO+//z6bNm16qcFRXFxMWFgYKSkp5OXloaioSFlZmWj07Nmzh4ULF76Rd3gRnnfO3uYaC3qGq6srFRUVSKXSev+/OcjPz6ewsJAPPviAyspK5OXlUVJS4p133mH27NkEBATg6ur6VilafvnlF+BJQKV79+50795dlAn/+te/xKz65qxRv379KCsrIy4uDk9PTyorKzEwMMDS0hJTU1NRDjcFnTt3RlVVlalTp9KjRw8qKyvx8vIS+0jUXUcDAwNWrVpFSEgImzZtQk1NjY4dO2Jvby9SxsqKOvDatWtIJBKSkpLQ1NSkTZs2op6dkJCAkpISrVq1anKQcf/+/bRr1w4rKysqKiowNzdn0aJF4uc1NTWUl5czZcoUjI2NMTY2pnv37sATh+Tt27fx9vampKREJu9bF8Jds2rVKuLj49HV1UVNTQ19fX10dXUZNmwYbdu2fas0ZBKJBEtLS9asWUNYWBjbt29HXl6ehw8fPsNyYmBgwNKlSwkKCuLIkSNUV1cjlUrx8vLC1NQUc3PzFlWBWxd1Hcpz5859q8EwDQ0NRo8ejY6ODj179mTFihWUlJSI+zI0NFSkoBw4cCBGRkYYGhpiYWHR6Pm9cOECCxcuxMHBgUGDBuHi4kJUVBRBQUGvpT+ap6cnhoaGdO3alcmTJzN58mTKy8tFv01L17+bg8uXLzNkyBAMDQ2prKzkvffeIyYmBm9vb7p16/ZG3l2wKUNCQnBzc6OqqkpMWo6Li+Px48fAf++DlqiDCnbIvn37xMQJLy8vzpw5Q2FhIV9++SUff/zxGxnL64KSkhKrV68mIyMDeXl50UdTly4N/nte0tLSuHnzJjt27MDAwIBHjx6xYcMGzp8//1KWF1lBuJvbtGnzjD/JxcUFa2trcnNzOXLkCAcPHkRVVZWsrCzy8vKYOHEiAwYMqPecxkKgXqyriwqMWY3xadSFhoYGM2bMwM7Ojo0bNxIbG8uDBw9Ev2NDKHRlYQe+ChEREezbtw9LS0uxt2THjh3F+yI/P7/R/oCn16ElyGQ9PT06d+5M69atMTAw4PDhw9y/fx9HR0cxSKmpqdmosQqMF1paWiKThUBR3759eyZMmNCoMUokEkJDQ6moqMDb2xs5OTmMjY2pqalh5MiRqKmpNUiXFWSct7c39vb2fPnll1RVVeHk5MSaNWs4duzYa5FxmpqabNmyBXd3dx48eEB5eTmTJk2ib9++eHt7M2vWLPFvBR+5iYmJqCcrKipiYWGBnZ0dU6dObTEJUAo/Cane/yBUVFSgpKTEhAkT+PTTT7G1teX27duMGzcOOzs7kV+5uY5YHR0dLC0tOXfuHEeOHOHUqVMEBASQnZ1NdXU1xsbGKCoqvrT0NC4uDn9//3ocm8bGxvzxxx9MmzatSeOysrJCV1eXjIwMAgMDuXHjBpGRkWRnZ+Pu7s6sWbMwMTEBWoYAayr27NnDZ599hrq6ej3+9latWuHh4YGZmRmWlpZiJkhzIDzj/PnztGrVCicnJ1JTUxk1ahRZWVns37+f8ePHy+K1AMS+E9bW1vTs2RNdXV0kEgnx8fGcO3eOAQMGPJMJWlhYiJ+f3zNNMF+1z3V1denTpw+xsbEcOXIENTU13nvvPezs7GjXrh1mZmYymcPnQVVVFTs7O4YPH86UKVPo1asXUqmUq1evsnr1alRUVGTqyG4qNDU1uXHjBkePHkVFRYWqqirOnTtHSUkJdnZ2hISEMGzYMC5fvkxycjJ//fUXFhYWTJo0CSUlJS5fvoySkhIDBgygurq6QbInJSWF0NBQzMzMyMrKIigoiMmTJwP/VeJkGUwSlEJ3d3dsbGxwc3Ojbdu29O7dG4lEQnJysujsf9leEPZKZGQkt27d4vPPPxcdSV26dOGzzz4T9+7/ovxp6WMWMp/U1NTo3r07w4cPZ/bs2QwePBipVMqhQ4fQ0dGhe/fujT7XCgoK9QyK2tpaMelEVVW1yUaF8Czhu23btiUsLIzIyEhOnTpFSUkJEydOxMbG5pUOATk5OWpqanj48CEPHjxgx44dHDx4kJiYGKqqqhrVJPhFzwf46aefiI6OZs2aNRw+fJjLly+Tnp6OtbV1g5JY+vTpg4GBAVu3buXgwYPs27eP27dvU1BQgLa2doMcnK1atUJVVZUNGzZw9uxZhgwZwuTJk5GXlycmJoaAgACmTZv2j3YgvQhCgkxmZiaXL18W1+X48ePk5uYyfvz4F+7/4uJi/P39OXDgAGVlZTx8+JD09HSqq6vx8fHh+vXrTJgw4bXdi/+LEO4iOTk5unTpQpcuXcSevULC0tNV7A2du8uXL1NWVoarq6vY71C4R3V0dNi/fz/Tp09/Le/VEEilUjQ0NNDX1yc3N5fQ0FAuXbrE9evXSUlJobKyUkyUac5+UVVVxcrKCmdnZ8aMGUPPnj1RVFTk7t27eHt7069fv+f2kn0ZhHVRUVGhffv2ZGdni7TMbdq0YebMmaLjXxi7kpIS1tbWuLq6Mn36dGxsbJBIJAQEBLBt2zbU1NTEap/m4t69e0gkEmJiYggODiYqKooHDx6gra3NyZMn6dKlC3Z2dk0OhmlpaWFubs6pU6f46quvOHPmDNHR0VRWVor9ilq1akWHDh2e+a6CggIdOnTA1dX1uZ83F3JyclRUVPD777+zfPlyLC0tUVdXp6SkhKSkpOfaAW8aSkpKmJubI5FIGDVqFD179uTGjRvExcXxwQcf1DvnSkpK2Nra8v777zN9+nTs7e3R0dER+2OrqqrKbN/IGnJyT3rkXblyhfHjx4s6UE1NzRtnWVm2bBkjR45ERUUFHR0dcnJyGDFiBCNGjKBVq1YYGRnRr18/NDU1iY+PJzY2ltu3b9O7d2+0tLQa/Ds1NTVYWloybNgwqqqq8PX1ZdeuXVRWVjJz5kzMzMxkqlvk5+fzww8/cPToUcLCwggNDeX+/fu0bt36H+GzeBnk5OQoLi4mNDSUrl27ijL36NGjODk5YWFh8Ub0OGEfBwYGYm1tjbu7O7Nnz0ZXV5f9+/czYMAA0VkvJyfXYnVQOTk5du3axdy5c0lMTOTf//43CxcuJDo6mn79+mFubt5gW7wloqSkBCUlJTw9PcnNzcXa2prq6mpUVFR49OgRNTU1KCkpifPu6+tLTU0No0aNoqqqCg0NDSorK/Hx8WHkyJFvZH0yMjI4ffo058+fR1lZWQxwKysri4kulpaWKCsro6KiQt++fRk3bhzDhg1rlm0JsG7dOr766ivS09NRVFTEwMAAZWVl5OXlm2WzAhgaGjJgwAAyMzMJDQ3lvffew9LSskGOflnYga+CwA72Mef1AAAgAElEQVRWWFhIfHw8d+7cITQ0lPj4eDIyMjA0NHzlvSDc47m5uezZs4fNmzfz8OFD0c4S7P+3BalUysaNGxk3bhzKysro6OgQFhZGp06dUFFRITY2lrCwMKKiorC1tW1wFWC7du1wcXERk6XCw8M5deoU3t7eXL9+HQsLiwazV33zzTf89ddfBAYGkpaWxqhRo7CxsWHKlClMnjwZKyurBu9HQW5dvXoVAwMDevTogby8PBoaGty5cwcNDQ169uwpcxs1PDycsLAwzMzMcHZ2Zvjw4XTu3BkFBQW6d+8uskjUlSe9evVixIgRTJ8+HVtbWwoKCrh79y7Dhg1rMb6Jf2zPMKHsVklJic8++4xVq1Zx9uxZmVXuPI0HDx6QmZkp9nSKi4tj7969GBoaPvfvhQ1QXFzMDz/8gJGRERMnTsTc3BxfX19Onz7Nrl27ZKJkJyUlERISwp07d8jKyuLAgQPNel5LQGpqKkOHDuW7777D2toaCwsLtLW1xUM1ZswY9u3bJzOKPWG9Nm7cSO/evUlOTqa2tpZPPvmEXbt28ejRI77//nuZc96Xl5eTlZUlcqXn5OSQlpZWj0JTyATy9fUlMjJS5FsXKhZLS0tFQ+JVyMzM5OrVq1RUVGBnZ/dG+q4BYiN2JSUlMatJyMhvKRzwhYWFHD58mNTUVG7fvo2zszNffPEF586dQ05OjhkzZogOMFVVVWbOnCme/48//pgZM2YwaNCgBr+Lj48PO3bsQFNTk9zcXFq3bs2WLVswNDR8LdkUwp75888/iYqKYsGCBRgZGaGoqMg333yDg4OD6NxoyPgDAgL466+/+OCDD+pVaLaUy68xqNs37t13322x2ctPo7Kyskn0D28Tq1atYty4cWIpfXJyMjo6Os3KxA4NDcXd3Z309HSOHDnS7D348OFDvvjiC9zd3Zk0aRLr16/np59+IjExES8vLzErtqGora0lIiICf39/bty4wePHjzl37lyDvy+VSsWKPSUlJQoLC9mxYwfKysosWLDg/1wvlrrrm5qayurVq7l9+zaqqqq4urri5uaGk5PTK+fF29ubVq1a8fjxYwIDA8nNzaV9+/YiXcb/tXltKOreEePGjWPLli20a9euXi/UxmDZsmUEBwczffp0OnbsSLdu3cQzdu7cOS5evMi6detazHpkZmaSlJREcnIyCQkJaGtrs3jx4mbJHeG72dnZnDhxgl69etG5c2cx2a6pcwtPeh6rqKigrq5OVVUVpaWl6Ovro6Wl1ej+BbLu3SP050xNTSUtLY2srCyKiopQUFDgwoUL7NmzR2ZVE0VFRURFRXHt2jUiIiKIiIjA09PztfRxfhWE9wkPD+fEiRNi5SE8mePs7OzX1heiIRDW9ty5czg4OKCpqSlWioSHh6OoqEjfvn0bvAdacs8nYS0E2sxBgwbxySefNDuxpil4+PAha9euZe3atS+VdxkZGaioqGBgYEBmZiZ37txh+PDhjT4jcXFxz9AaPV190lwI73H+/HliYmIYNWoUOTk5eHl54efnR4cOHejatSs//vijTPq9tlTk5eXxww8/UFFRgbq6OkVFRRgYGLB8+fI33hMzPz+fL774gjt37rBixQoePnxIaGgoGzZseK4u3tJ0UKlUyowZMzh8+DATJ05k9erVmJubM2fOHP7zn/+8NrabNwWBQtTT05NZs2YxevRo8Wzs3r0bW1vbepXi8fHx/Pbbb4wfPx4XFxfU1NRYt24dCgoKzJ8//42sT0ZGBlevXuXBgwc8fPhQrOoeMGCAyBbzNO7evUvr1q2b3c+qsLCQqKgojh07hr+/PyoqKrRt2xZXV1ccHBzo27dvs3WIqqoqTp48yfr16+nXrx+bN29u1Pebawc2BIJPMSYmhpiYGBISEpg7dy69e/d+6fsL+2PlypU8fvwYa2trIiIiuHv3Lo8fP2bGjBnMnj1bpmNtCIQxJyQksH//flavXv2MLnz//n0iIyPFPr4LFixo1m+mpaURFxdHUFAQs2bNon379q/cO9XV1bz//vsUFxeLga8OHTqIOlxTfUrh4eEsW7aM4cOHY2lpyePHjzl69CgrVqyQWQKFsPb79u3jzp07pKWlic9dtGgRAwcOfOY7gg6XkZGBn58fenp62NjYYGZm1qyxvC78Y4NhAg4fPoyvry+PHz/G29tbZs8VFjohIYGCggIcHBzEz6qqqsjJycHY2LhBzwoJCeHw4cNUVlYSFhaGo6MjEydOpF+/fk26oAReXHiWSqelGRlNRUlJCadPnyYoKIi7d+/SqlUrLCwsGDBgACoqKhw9epRDhw7J3PEeExPD7t27CQkJYcmSJVhaWrJy5UpmzpyJs7OzTOZXWHNfX19u3LhBeHg42dnZODs7891332FkZFTv7+/cuYOXlxc3btygX79+fP755+jo6KChoYG7u7vYTPl5c1FYWIiPj4/INV1aWkpcXByhoaFERkbSoUMHdu7c+Vq4Z+s6dw4fPszx48cxMjLCzMyMDz/8sEX1lapLkSX8t1CFeOvWLSwtLcWeSQUFBfWCsIIC9uOPPzZqHoUAYXJyMtHR0WJGdG1tLdra2nz99dci/YQsIZVKWbZsGYWFhdjY2JCens6jR49Yt25do7KUKioq8PX1Zdu2bVhaWjJv3rxnjOr/JRQXFzNhwgTOnj37tofSJNTW1lJdXV2PerMlIS4uDmNjYz7++GM8PDxQVFQUZeHJkycZMmTIK7PXBJlSWlrK33//TU1NDQYGBi80tBoLQb57eHiQlJTEiBEjWLduHfv27RON07pV3q8aJzypfNDR0UFfX1/8XKD0aOr9JVQzaWlpyaSX2/8q5syZwx9//CH+OyMjo8EOZGHOkpKS0NLSQl9fn+LiYqqqquol3vxfR93ELnV1deTl5SkqKuLkyZPk5+fj7+/PyZMn631n7ty5rF+/vsGOTX9/f+Li4sjOziYnJ4fq6mr09PRwdHTk2LFjjBs3jtGjR781/VaQU/v376eqqgp7e3ssLCxQUVGhrKyMsrIymZ3D2NhY1q1bJ/by0dPTw9LSkv79+4v02Q1FdnY2x48f59y5c6Snp6OtrY2VlRXTpk3D2dm5Re5xiUTC/fv3SUlJITs7u9HU03UhrEdOTg7Z2dkibZCA7OzsFyY0vm4Ie8rHx4ft27fz7rvvMnjwYDp27Cjegy1Brr/77rscPXq03v2VmZmJkZHRP8LWrIuUlBROnz5NREQExcXFqKiooK+vz7Rp0147g4Vw3t3d3XF3d+fjjz9m+PDh4ueC7BOCp3l5edTU1GBiYsK8efMaRYMl7Ku7d++yZMkS3N3dRWYZZWVlmTs9hb0+Z84chg4dWq9/zc6dO4Encz969OgWZRfKAjExMXTs2LFecPH27dtkZWVRWlrKsGHD3goNam1tLXl5eZw7dw4fHx+srKz49NNPn/E/vAhvWwetqKggIiICGxsbdu3ahZycHGZmZqxfv56rV6++sXG8DtTU1BAREYGPjw9HjhwRA2EGBgaYmJiwadMmDh8+LPoga2tryczM5OzZs9y6dUvUa+3t7Zk9e7bMKzyfh7r08q1ateLRo0fEx8cTGhqKg4MD9vb2VFVVidVW8vLyKCgo8NFHH/H999/LJCGlqqqKn3/+GWtra2xtbYmKimLHjh3k5uZy4cKFBvtsX4WsrCz8/f358MMPX6qTvm47sC6qqqrIz88nODiY0tJSevfujbm5OTk5Oejo6LwykUqQ0fPmzWPBggX1ghqRkZEoKSnRtWvXNx70Fn5v586d+Pn5iZS+9+/f58aNG/j7+/PNN9+IzAx12zy8CsK8x8bGsnjxYvr374+9vT19+vRpdMIrPNkXERERXL9+nczMTGpqajAyMqJz58507dpVpAJ9FZ7u4xkYGIivry9SqZSCggJGjx7NiBEjGj2+V2HcuHGsWbMGCwsL4El8JSEhgcWLF7+QFv3jjz9GSUmJ7OxsSkpKMDAwoEOHDnz77bf19vrbxv9OungjIWziUaNGoaysjIeHB0uXLmXOnDkyEXiCwD5x4gTGxsY4ODhw4sQJjh07xrRp0xg7duwLvyuRSAgJCcHBwUGkgbOysiI+Pp6vv/4aTU1NUXFtqlCp+73a2tp6F8w/Aerq6kydOpWpU6cCT4Tx9evX+fvvv4mIiGDixImA7HrYCLCxsWHs2LFUVlZy/fp1tm7dyowZM3BycgJkM7/CeHfv3s3kyZP54YcfkEgk7NixAw8PDz7//PN6F5ew/zw8PCgvL+f3338HnpRuX7t2jZ9//hl4vuEcHR3NjRs3yMvLEzn+9fX1xR4dnTp1ktll/DSEtTl69CiZmZn4+fmRlZWFp6cn27dvx8zM7K05IoTxycvLEx8fz5EjR/Dx8aFLly4MGTIEZ2dnMSu0biBcTk7uGcW/Xbt2zJ8/v9EBxaysLFJSUjA0NGTGjBmUlpaSk5NDeno6oaGhMnWICL1x2rdvj4GBAT/88AOXL18mJiYGOzs7Bg8e3GiDTFlZmbFjxzJ27Fj27NnDsWPHePfdd+nfv3+zxvqmIcyvv7+/6EhvyUkFwngzMjLQ1dUVlZSWXCEmkUjw8vJi3759KCkpsXz5clxcXHB2dqa2tpY1a9YwatSoVz5HOAfLli1DIpGIlIlbt27ll19+ERvXNhXCmqupqTFo0CByc3PFDNOgoCCKioqAhu+PtWvXkpCQQHx8PGpqatjb2+Po6Iibm1uzzrWqqqpYTQz/XGqh56GwsJCMjAyKioooKyur95mRkRFHjx4V6WafB2Hek5OTOXbsGPHx8ZiYmLB69WpKSkrq0TL/fzwxRhUVFdmzZw9OTk7069cPRUVFTExMOHjwIAUFBbi6umJjY8PQoUNRUVEhOzsbJSWlBp+T/v3707dvX/Lz88nOziYzM5P09HSCgoLIzMxsUC/B14m6OmZaWhrh4eHU1tZiZmZGp06dGDlyJCCbc2htbc3evXuRSCRERUWJ+pKRkRFdu3ZtlNzYtm0bCgoK/Prrr9ja2hIfH8+pU6f4+eefWb58OU5OTi0i4FK3yb2Ghka9vrnNgaCDenh4kJWVRffu3bl27Rpnzpxh8ODBDB8+/K29v7Cnqqqq6NOnD+np6Rw9ehR1dXVUVFSYOnVqgx3TsoYwJyEhIZiYmKCvry9mYz98+JB58+Y9EwD/J8DU1FTMKs/IyCAhIYGbN2+Kn7/OvSLobtXV1RQWFrJ48WJ+//13nJ2dGTBgAIMGDUJeXp4dO3ZgZ2fHuHHjUFVV5eDBg2zfvp0FCxY0uJpLOBf+/v5i8Mnd3Z1r165hamrKsWPHmDRpkszeTdjrHTt25OHDh/U+u3HjBmvWrGHjxo0UFBTI7DdbCs6dO8eYMWPYtWsXcXFxjB8/nv79+9OvX7+3Mh4PDw/S09MpLS3FyMgIZ2fnei07GrrH35YOKjjHc3JyxDkcMmQIK1euJDMzU/SHtJQq8qZAXl6eXr16YWxsTK9evdDV1SU+Pp6srCzCwsIYOXIkxsbG9Spa9+3bx6ZNm3BychLtFGtra7Hi8HWvT1VVFV5eXoSEhFBUVMTWrVtxcnKiXbt2pKSkUFpa+tzWH2lpac0OhAl65sWLF8U9IPTC09TU5OHDhzLzCwsBDiGg/zbtQPjvuwv94lq3bo2xsTFXrlxh6NChjBo1StSvXoTs7GyWLFlC//796dSpEyEhIRgbG6OsrIycnFw9Bqk3faaE32vbti1VVVV8/vnnGBoaUlZWhpOTE3FxcRQVFSGVSjl16hTvvvtug4Nhwrzr6+szffp0kpOTOXToEJs3b0ZLS4tJkybh5ubW4LEaGRlhZGTE0KFDgSeJbcHBwQQHB5Obm8uAAQMatN7e3t5oa2vTt29f1NXVeef/sXfecVXX+x9/HkCQJYGMUBAQRVRARVRwD1yoV6+pudKyUlMrb7fUtGuWWtrQSlNbpmZ5jZwoqIAECKQCggwBmbJkyN7jnN8fPr6fC+YAZRz79frLcc75fr6f8f685+s9dCgDBw6ktra21fomZ2ZmUltbKwJhAAsWLGDy5MkP3OO3bt2iqKiIU6dOAXeZF0JCQvDz82vzSudHQTk9Yy0AaTPp6uqKsuC1a9dSUFDQ6JJ4XEgHMDw8nH//+99ERETwxx9/4OrqipeXF46OjlhYWNz3uz4+Pvj6+opMsuTkZHx9fdHQ0GDq1KlPTO0n9YyR3u9JuXafBjg4OAiBXFNTQ3V1NdA6F/zIkSMxMzOjvLyc1atXY2Ji8sjLpLkoKCjA2NhYNGfU1dVl2bJlvPjiiyxevLhRMMzExARXV1eOHz+Orq4uKSkpogx9/vz5olT+fgLLxcWF/v37CwGamZlJfX09Xbt2RVVVlYKCAqB1jDxpPHK5nDlz5qCjo0PPnj1Zt24db7zxBhcvXmTevHnt5oyQ1nTXrl1YWlpy9OhRAgMD8fX15dNPP2Xx4sUPpMZsON7HOc8BAQEcPHiQmJgY6uvrmTBhAlu3bsXS0hJLS0ucnZ1FVn1LzI2XlxexsbGYm5tjYmKCtbU1Q4cObZSh2RTHZcMqgfj4eIqKijAyMqK0tJSjR49y9epVPD09lcLB1lRI47SxsWHZsmUALX7eWwPbtm1j48aND8zYUSbo6OiwZs0aHBwcuHTpEnA3oJWfn0+fPn2YNm0aampqTcqyS0tLIzk5mWPHjgF3q4gPHjyIj48Pffv2bZF95+bmRlVVFXV1dfzwww8MHTqU3r178/rrrzfp+xKF7cmTJzl06BDa2tpERUURFBTEZ599xuDBg5vd0Phv3EVpaano4WpoaMj27dsZMmQIo0eP5sqVK5w9e5Z58+Y9cC9JjkB3d3fMzc0F3z6Av78/lZWVT1SN8leBxD4gOWm9vb2F00xLS0vQSGpoaNC5c2e8vLzYs2cPKioqonqyOXJUQ0NDGJP9+/enrKyM/Px8Zs+ejZGRUQu/3eNh1qxZFBYWkpubS3x8PEeOHMHGxobnnnuuxZ5RVFSEtrY2Ojo6uLi44OLiwsaNG/9U1dQUXL58mWPHjgn9z9bWlnfffRcNDQ18fX1xdHRUCkrge2V2w+BYS/zuH3/8wX/+8x9SUlLw8PAA4NixY5ibm7cZVXhDlJWVkZWVhY2NDdOnT2fatGmNqDfT0tIeKzO5NcYpZfdKNklsbKzon/Y0O5zvhUKh4NatWxw6dIhnn32WsWPH4urqysiRI8W7t4VOO3fuXObOnUt9fT1+fn6cO3eO1atXc+rUKaysrEhPT2ffvn3i81u3bmXRokUUFhY22VEm3Xfx8fFMmzaN48ePU1FRgbu7O7t372520k9TMX/+fJYtW8bPP//M4MGDeeaZZ4Q9GhMTw8aNG1vsWcqCf//73wAMHTqUkpIS9uzZw/vvv8+zzz6Lra0t69evbzPH4d69e/H29sbCwoLOnTtz48YNgoKCmDVrFm5ubk+F3SbJm3Xr1jWyK3799VdRadPwc08jJLmanJyMnZ0dFhYWImjd8ExKiUoJCQkieaRPnz5tOlZpPEFBQfj5+dGjRw/y8vKAu/T1x44dIzo6Gk1NTQwNDRkwYACDBw+mX79+3LhxQyQdP8ldIs2HmpoaGhoajSq+q6urSUhIaDTWx0VD1pWmsB60hR0o6Uru7u7MnDmTadOmUVRUREBAAEePHsXMzOyRfTo1NDTo27cvISEhJCYmUlNTw/Xr13FycsLe3p4uXbq0q55YWVlJ9+7dOX78OHfu3OHixYt8+eWXREREoK2tLXS4I0eO4Obm1uzfNzY2ZsaMGVRXV1NeXs5vv/3G1atXhVxuyr6pqqrC19eXqqoqRo0ahaGhIX369KFPnz4sXry4WbbQDz/8wM6dO9HW1qa2tpatW7cSHBxM796978se1hIwNDTEycmJ7du3s2TJEoyMjPDx8cHQ0BBNTc1GcyD9uaSkhNGjR1NWVoampiadOnVi4sSJzQogthX+ssGwe2FoaMj333/fKED0pCgsLERFRYUrV67g4eGBq6srbm5uTJs27aHKS0hICOPGjUNHR4f4+Hh27dpFSkoKKioqXLp0ie3btz9Wf5Tbt29z+PBhLl68iLOzMy+++GKrNHVWdqirq4uLqKUUdcnxIzU3tLa2BmDTpk1YWFjw0ksvtdhzVFRUSEhIID09nf/+979MnToVHR0d6urq6NatG506dRJlspKCcPr0aVRVVZk2bZoIzjVlj6uqqjYykKQqB0kwS4Gc1si4lslk1NXVcfXqVaqqqhrxW1dWVjJgwAAxlvbMzDUyMmLhwoWinFla67KyMqB1DOBTp04xbtw4fvjhB5KSkti5cyeRkZH069cPaJqi1Rw899xz9O7dmxs3bpCQkEBoaCiampqYmJjQuXNnZsyY0SyZ9O2335KcnExhYSFyuZyxY8fy1ltvid51kpL+NEE686DchpRMJqO4uJgOHTo0qqyUKBKVsaJNkmOurq4iawruOn7j4+PF3D/srEn/FxkZ2YhfXltbm+HDh7N9+/Y/JYo0Bw0ptSIjIxk9ejQdO3bk0KFDhIaGYmFhgbGxMfBweSnJ+OzsbBYsWED37t2Ry+WiD5UyVx0+DTA3N+fjjz9GJpPRpUsXcnJy+OSTT3jjjTcwNzdn+fLlwIMDMdLcJyQksHLlSj755BPBiX7lyhVxT/1/XSfpvS9evMiJEyf4+uuvyczMxMbGBkNDw0bny8jIiN69e6OpqYm9vT1r1qwB7p53eDI5qqOj02pZkM2BJLsUCoUYk7m5OQMHDhQGITyZHiPNuZSZKiXbGRgYUFhYyLVr14Su39RnXLt2DUtLy0ZzKFX3vPrqq7zyyitKe0e3lM6loqJCfX09NTU11NXVcfToUQYPHsycOXNYsGCBcPC0tQ4aFhZGbW0t6urqnDhxAnt7e6ysrERQvzlUP62Bho3Rjxw5wrp16xg/fjyZmZmEhoYKpoy/AqSz5+vri7u7O6ampgQFBbFv3z5mzpzJhg0b2mwM169fx93dnenTp+Pk5CR0hs8++wy4m0TZrVs3Dh48yLRp0zAwMEAul3Pnzp1m9ZeT1nfKlCm8/fbbGBoa8vHHHwNw9epV3n77baDl7cJu3bpx9uxZQkNDCQgIQFtbm3379pGZmcno0aOVIgDcWnB2dhYsIzk5OYSEhBAYGPinapnWQmhoKJcuXWLv3r2YmJggl8vJysrC09OTjz76CCcnJ6HfPg346aef2LNnD9u2bWPy5MlMmjSpzeaytSHpTV9//TUffPABAF999RVXrlzh7bffpn///sD/EpVu3ryJr68vnTp1YsSIEW3qF5T0bD8/P+bNm0d+fj61tbXAXWai+vp6Dh48SGJiIrGxsURHR+Pr64u6ujrh4eG88cYbLTYWFxcXPD09ee+993BwcCAjI4OcnBwWLlzYaKzNQWFhodAPmuMjaSs7UNorcrmcAQMG0KFDB4yMjHjuuec4ffo0VVVVjcZzPzzzzDOiIloulxMeHo6vry9Hjx7lgw8+YPny5SJRuC0hBbevXLnClStXsLOzE1ST06ZNY9SoURw8eBC4u9d0dXXR1dVtlj5XX19PfX296G+no6PDypUrG7X9eNQ6lZSU8NZbb1FXV4e2tjZ5eXksX74cf39/4uPjSUxM5J133sHIyOiR40pJSUFLS4sePXpQWVnJoUOHCAsLY+3atRw7dozz58+3aLKmNFc3b95k9OjR/PTTTyxZsoSCggIRZ5A+J0F6h4MHD3Lx4kXy8/OZOXMmFhYWdOrUSSn7fiqnpdNKaGljRk9Pjzlz5vDjjz9iZGSEm5sb4eHhaGtro6+v/8ADFxsbK5wCJ0+eRFdXl59//plnnnmGV199lZs3bzJ48OBmG2BffPEF2travPTSS5w+fZpPP/2UTz75RCkyO59WSGvQUNgpFApqamrQ0NAgIiJCVM+0xOUlfb+6upquXbvy3//+F39/f/Ly8tDQ0BDZP5KSI+2Pc+fOMWvWLKBxM2KpSWNz0VaGf2FhIdra2nh4eHDs2DF69OiBpqYmvXr1EplM7eFwlNY9OzubjIwMvL29WbRoUaPPSE6ke/dGS8xdenq6MLKtra0pKSkRDsTWcMKamJhgYmLCmDFjAMjNzeXq1askJCQQExPTiCbjYZDefe7cuejp6Yk5athzDVBaJ1tD3Bs8ehqc3w37RoSGhrJ7927mz5+PgYGBUgfwVFVVkcvlDBw4kG7dujF27FgmTpxInz59GgXJH3a28vLyMDIyYujQoXh7e/P111+zZMkSqqurOXLkiKBSe1zqXOl7Z86coaCggPHjx4v5trS0pKampkm/IymNJ06cIDAwEEtLSyZPniz+X9n32NMAhULBRx991Ojfbt++TX5+vqB5eNAekPoamJubc/36deLi4gS1TnJyssjk/v++TqmpqQwaNAi4m0SzZcsW4H/nJCoqig8++EBQZMDdqr3a2tonZj+QoAyZ6tI++vzzz0Uvhr59+2JlZUViYqJIAHmSsUZFRWFubo5cLkehUHD27FkqKirQ19envr5e0EE1J3va39+fsrIykpKS0NXVxdjYWFS4xMfHC+O/ve89hUJBVFQUt2/fxtraulFSSkv9/pQpU1i9ejVGRka89957pKenU15eLmRFW+8xR0dHVFRURLPyW7duoaKigrGxMfr6+ri6urZbI/K6ujpRLaunp8e2bdv44Ycf8PHxobCwEDc3N5H5q8w6R1Mh3dcXLlzA1dWV2bNnA3cDFh9//DFXrlxpdUo7af+lp6dz4sQJPDw8qK2txc7OjokTJ6Kuro61tTUuLi4sXLiQn376idLSUsrKykhISBD6RXOrK0aOHImXlxdlZWWYm5sTFxdHSUnJY1WhPgpSACgnJwc9PT1WrlwpbIaOHTuyYsWKFn9me0OSraWlpQQGBpKSksLQoUMZMGAAM2bMYMaMGW02lqCgIAYNGoSJiYkItpuZmbF06Yd0gDMAACAASURBVFIKCwvx8vJi8eLFbTaeJ4WKigqLFy/Gx8cHPz8/KisrRVuNpxmSHpGRkUFdXR3W1tacOXOGqKgoJk2axMmTJ7G3t6eqqoobN27g5OREz549qamp4fLlywQFBaGtrY2pqSkrVqxo9aQKSd4oFArRA/OVV14BICIigoEDBxIVFYWRkdGf2kGEhoaKM9ASOoiOjg47d+7k7NmzpKSkoK+vz9SpU4Vt2FTZKMnRixcvcu7cOU6fPs22bduYMWMGxcXFj+xtDW1rB+bn51NdXc3atWtZunQpJiYmqKioUF1d3SSKcUlOHT9+nFGjRuHk5CSYzYqLi4Xt29a6YmJiIqGhoZw5c0bQBMpkMmxtbfntt99Yu3Ytc+bMISsrS5wLaZxNXeuwsDDWrVuHvb09jo6OODs7U1dXR0JCQpNbhwQEBNCxY0fef/990tPT2bt3L4sXL6akpAQdHR2GDBnSZHaLiIgI0f8sLi6O8PBwXnvtNcaNG0enTp344osvWjQYJukeW7Zs4b///S8jR44kIyOD8vJyDAwMRIJEw/mUvvP2228zbNgw/Pz8WL9+vQjEfvbZZ0rHfKP8HkklhoqKCs899xzDhw8XmehJSUmMHz8euP+Bq6yspF+/fvj6+tKvXz88PDzYsWOHyHjKz8+nR48eQPMNsOTkZL766iueffZZZs+ezeLFi0lNTaV3795K4TR4GhEQEMCyZcsYNGgQ48aNY9y4cZibm6OhoYFcLqekpERUMLXkJSBxBmdnZxMTE8P169cpLCwkJSVF0PPZ2tqioqKCXC4nIyMDV1fXRuM4dOgQ77//fouNqTVgZGTE999/T11dHTExMfj7+xMWFoaPjw+nTp1i0aJF7WIESWclNzeXhIQErly5InqijB07llGjRv0pu0E6Y0961lJTU7l+/TqnTp3CwcGBrl27UlZWJkrZW1rZaJihFB0djbe3N8899xxTpkxhypQp1NbWNit4JZfLKSsr45dffmH48OG4uLg8lQH5e2X30+D8lsaor6/PyJEj8fPz4+LFi+jr69OtWzdeeOGFdnOiPQoqKiqcO3dOUP/8+OOPdOjQgREjRvDFF1889Ls1NTXs3r2bGTNmMGDAABYvXsyOHTv45ptvMDU1ZerUqaKP5+Ouo3SmL1++LBrIV1dXo6mpyeHDh7G2tqZr166PPP/Svho8eDBZWVls27aNLVu20KtXLxwdHXn55ZefyvOiTLh69SqLFi1i8ODBDB8+nHHjxmFtbd2oYvBhUFdX5/nnn+fDDz8kKysLDw8P/Pz8sLGxabEm208rpPNTXl5OcHAwxsbGODg4/MmYCwgIYPTo0cD/mlYHBgZy8eJFUcnQHCijDlteXi4cThYWFmRlZeHv74+XlxdpaWloaWkJw/RJxr5lyxY++eQTevToweuvv07nzp1JSkoiPj6e7t27i6BNc2Rb586defbZZzlw4AAymQxDQ0PMzc1xdnbG29tb9PZsL0pgyeG0f/9+0tLS+PXXX9m4cSPW1tZERkZibW39xJWBCoUCNTU1XnjhBSZNmiQYPaKjoxk4cGCjcbQlJHtw+PDhDB8+nNzcXG7cuMGNGzeIiIgQjdbb40xcuXKFvLw8nJ2dCQgIYMSIEbz99tt/Snj6q0Ba++zsbLEn4G4CWWlpqUhSawtcu3aNr776isGDB1NWVsZHH33Evn37qK6uplevXuTn5zNt2jSMjIzw8vJCW1ub5cuXC2q0psgHyR4oLCwkKytL9PLJzs7G2tqa/fv3Ay279+rq6ti6dSuFhYU4OjqSl5fHhg0bWLduHcbGxmhoaDS75/LTAEm2btiwgQ4dOoi+NrW1tejr6/Phhx+2GU3r9evX2bRpE3A3+KhQKKioqBA06+Xl5YByJwVKezIvLw9dXV00NDSwsbEhJyeHnTt3kpubKypcnnZcv34dfX19PD09CQwM5M0330RNTY2zZ8+iqqqKn58f165dw8nJidGjR+Pg4ICqqiqZmZmkpKRQVFTUptXFzz//PL/88gspKSloa2vz3XffkZCQQGFhIfHx8fdtB+Hi4vLEFLTSnqirqyMyMlJQt02ZMuWx30Xa/19//TW7du3izp07goVlw4YNLFiwQCSuPwhtaQcWFxdjZWXFnTt38PDwoLi4mJycHFxdXbl27RomJiYPtGsUCgUqKiqkp6dz4MABZs6cKe680tJScnJy6NWrV6N5aSuoqalRXV1NXFwcpqamfPTRR3Tq1AkrKyvi4uIwNjYmJiaGy5cv069fP1EB2JRxSoGf3r17s2nTJlJTU4mMjOSnn35CW1tbUL03RT8MDg5m0qRJGBkZYWRkRJ8+fbh58yabN29udrGCtbU1Hh4e7Ny5k0uXLtGvXz+hD8bFxYm7viX01oatJxqy80hV5vezDaTvVFRUoKen1yipIzY2luDgYKULhMHfwbAnQmhoKBcuXEBTU5Nly5ahqqraqDnf/TaipqYmU6ZMEUrHpEmTRFZZTEwMGhoaGBgYNFvRTE1NpaSkBAMDA+rr6wU9i8S3q2xOhKcBCoWCUaNGcfbsWfz8/Dhz5gyfffYZWlpajBo1CplMJhrEtrTBXFFRwcWLF0W2iJubGykpKeTk5HDr1i2RGQB3qTEsLS05deoU06ZNQ0VFhbKyMoqKisT6Kyuqq6sJCgpCT08PMzMzURJfWFhIaGhou9FiSAp/v379CAgIAMDX1xdvb29ef/11USatUCiEsrB27VqWLVuGtbW1oLH88ssvGTJkiKC/aAqMjIz4z3/+Q0hICL/88oug8fHw8MDKygpra+tWcTp89dVXGBsbc+PGDdEr7tSpUwwcOFBktz8M0hn45ZdfuHXrFv7+/hQWFuLi4sLvv/+OiYmJKCtXZmRnZ3Po0CEqKyuZPXu2aN6rjM7YB0HqoVhRUUFSUhKJiYkEBgZSWVkJKO+7mJqaMn/+fObPn09eXh47duwQSrp0pu6H8vJyamtrWbZsmejdJZ2d1NRUrKyshAL8uO/d8PulpaUA4hxevny52TzYEyZMYMKECdTU1JCUlERQUBD+/v4i0PY3Hh8DBw7kt99+IywsjODgYA4ePEh1dTWvv/76Q7Obs7Ky0NDQQEdHhz59+vD+++9z6tQpTp8+jZubG+PGjQOU9/y0Faqrq4W+6enpydWrVzE1NcXExEQ4Gerr60WGrKQTR0REYGdnJ/6/OTrT/ea7vdfg999/Jzw8XDiccnNzUVdXJz8/HxUVFUxNTcXd+bhjzcnJAcDKyoqysjJmzZqFt7f3faukmvOMuXPnMnLkSFJTU0lLSyM7O5vQ0FCuXbvGhQsX+P7774H2SwKR9oanpyeHDx+msLBQOF127NjBkiVLBH3p40ImkxEdHc21a9fIz89n8eLF1NfXM2jQIBEMbK/3r6mpITk5mfz8fDQ1Nenbty+jRo1q5Ixuj/1vZGSEjY0N8fHxnD9/Hj8/P7S1tbG1tcXCwgJnZ2eloC9tKUjzPXPmTF577TVeeeUVHBwcUFNTIyMjo1GArLUgk8koKiri3LlzvPfee8DdKocPP/yQ/fv3Y25uzsGDB9mzZw+7du1i+fLlLF269E92QnP2y0cffcSNGzcwMTHB0NAQAwMDdHR0mDlzZrN/60GQ5jYkJISKigp++uknampqyMzMZO/evRw7dozXXnvtiZ+jrJDodVNSUjh48CAGBgZUV1eLPvIS7Vpr6xuVlZUEBQWxZcsWRo8ezejRozE1NRWBsJiYGN555x2g/e/ch0Ea2zfffIO3tzempqaij17v3r1FwvDT3MtQescRI0YQERGBu7s748ePx87Ojt27d4uKnYCAAOFb/Pnnn7GysmL69On06NEDFxcXQY/XVujduzcjRowgKyuLLVu20KNHD4yNjZkwYQIHDx68bzsIKRD2JJCKEj7//HNu3bpFdnY22dnZou3Fa6+9Jvx4TYXU60tVVZUuXbpQUFAgkuJv3brVrITT1rYD5XI51tbWvPvuu8BdGyc2Npbw8HBycnLYs2cPM2fOfGgwTCaTERwcLNaluroaLS0tUlJS2L9/P7t27WqRsTYXvXr1wtzcnM6dO2NmZkZiYiIJCQn8+uuvjB07lldeeYWbN29iaGgomKagaTLs119/ZcKECejq6lJeXi6COlJ7GolytSlyJCIigpKSEoqKihg8eDDR0dG89dZbj8Xa5eDgwPz58wkICMDJyYklS5YIfcvHx6dFku8kSO1MwsPDOXXqFLW1tcyfPx87OzvU1NQe+gx3d3f27t3L8OHDcXR0ZNCgQaJHmjLaz38Hw5oJaRHj4uL47rvvMDc3x9vbm3/9618kJSURHR0taPMeBBcXFzw8PBrxvhcVFeHh4dGoH0VzLuvs7Gzy8/OZO3cuPXr0QFdXFx0dHUE/payZPMoM6bBKTgeptPvatWt4eXlx7tw5oai3RPZsw/5fnp6ewN1Kw/r6et5++23c3NxE3wBpbAqFAkNDQ2bMmMGRI0coLCykpqaG8PBw4bhTVsWvtLSUzZs3k5CQQG1tLSoqKvTv3593330XfX19UWHZ1qipqWHp0qUcOHCAr776ilGjRtGvXz9RGbht27ZG2aAqKirU1NSQmpoqnFOS097R0VEoRk29ALS1tVmwYIGgdIiLiyMwMJDffvuN69evs2rVKl5++eUWe19JNkRHR+Ph4UFISIjgHP/555+FA+pRkN7t0qVLvPXWW6iqqorv+vr60rt3b6WvUs3Ly+Ott95iyJAhVFZW8t1337F582Z0dXWRyWQkJSW1OE1TS6O+vp7IyEiOHz/OxIkTGTFiBPb29qIyCpTLoJX2Q35+PoaGhuLfjYyMMDQ0FHfiw2SYvr4+H330EevXr+fQoUMcOnSI8PBw5s2b1+LrNW/ePJEN6OjoKILlUkbWw+a2YdbU+fPnSUhIwM3NDXt7e3r37i3umL/xZFBVVcXOzg47OzsWL16Mt7c3586dE4HtB92JmzdvpnPnztja2tKjRw9sbGxYt25do88os/xqC8jlcjQ0NPjPf/5DfX09sbGxhIWFkZCQQG5urtB/J0+ezOrVq6mpqcHW1pbc3FyioqKYM2cO0LwqhZMnTzJkyBBMTU3F2vn5+WFlZdUoMaitERAQIKgiGzqcpEotePL9EhAQIHSI5ORk7O3tRUasiorKYzuMOnTogIWFBRYWFsDdHqgZGRmkpKTQvXt3EbRsz72ek5ODuro6mpqaZGZmisBDYWGhcMw8CYqKitixYwdmZmZcunSJN954g+LiYsLCwoTjtK3fX9rfZ86c4ccff0RbW5uuXbuiqamJnp4egwcPfuIg4JNA2ttqamps2LCB7Oxsbt68SXp6Ov7+/hgYGODo6PiXkZOSnPrHP/5BRUUFV69e5eeff0ZVVZU1a9agrq7eJjZ2XV0d/fv359SpU0yePBl1dXVBr3f06FEOHTqEl5cXnp6eXL58mbS0NCZPntzICdgUSMmUsbGxnD17lqysLOLi4oiPj+fmzZstWqEl7Y+kpCRRta2iooKVlRWTJk3Cw8MDUO5qpMeF9E7p6em4uroK6mANDQ1hK0lo7XOkrq7O4cOHuXLlCmfPnmX37t1oaWkJOrSioiJBMabsZ7q2tpbRo0fz+uuvc/v2bTQ1NenWrVsjeaSM/pDmQldXl9WrV1NSUoKJiQllZWVkZWUxd+5c4G5vIYnS+8qVK4wdOxa4u+/U1dXbvG9Peno63bt357vvvhNUuwsXLhRJhK3VDkJa64sXL/Lll19iY2NDXl4e4eHheHp6isTG5j6voqKCQYMG4e3tjZmZGR07diQ6OhotLS1MTEweev+1pR0otU0ICQkhOzsbGxsbpk6diqurKwUFBcTExDzURpbmpL6+XsgoKRAUFBTUagUBj4Lkc9XS0uK5557jzp07dO/enbS0NMzMzESbERMTE7Kzs7l69arQ1R+F2NhYdHR0MDAwICcnh0OHDjWisGwO6urqWLVqFVlZWSQkJBAcHExMTAy//fYb8fHx9OnTp9l39Lhx43B0dGxENx8VFYWZmVmTaC+bCjU1NaqqqujVqxfvvvsuV69eZfv27SgUCrS0tFizZs2fxi6xYy1evJg+ffpw6dIlPDw8+PTTT9HX1+fzzz8XgWNlwt/BsGZCClIFBQXh4uKCo6MjhYWFwF2n9enTp5k+ffojBeu9l5GGhgbPP/+8yKRtzkaWy+W4uLgQGhpKeHg4fn5+xMbGkpmZyfz58zE1NWXJkiXCEfQ3mgeFQoFcLgfuXqwDBgxgwIABrF+/XnymJXogSRenh4cHEydOFD3AvLy88PLyok+fPlhaWja6YKU/S2WyFy5cQF1dnXnz5rUard6TQjobfn5+5Ofnc/LkSeBu2f+3335LSEiICOS1B9TV1fn000+pqKjgjz/+4OTJk9TU1NCrVy9GjBghqDIbIjMzk65du+Lu7o6rqyudOnVCVVWVESNGiM88rhFha2uLra0tr776KjU1NVRUVAAtayDGx8fTs2dPsrKygLsVOlVVVcKR2RSoqKigUCgoKCjAxsaGyMhIkd2UmJjI/PnzW2SsrYmAgAAsLS1ZvXo1ZWVlbN26lY0bN7Jz505SU1N58803OXPmTHsP876QlNEjR46Qnp5ObGws1dXVjBgxAj8/Pzp37txmlCvNgUwmo7y8nOHDh2NgYMDgwYOZNGkSpqamnDhxQjjPH3V+SkpK6NSpEytWrMDPz48vv/ySQ4cOMXPmTF588cUn6lPU0LBxcXEhIyODw4cPs3PnTiZNmiSytR91JiX9YfPmzXTt2pVffvkFe3t77O3tOX36NIMGDcLU1PSxx/k37mYtFhcXN2r2Pn78eI4dOyZk2YOMtkWLFhEREcHly5c5e/asqBCztLTEysqK/v37K70zqDUhVUHfvn2bsLAwrl27xvLly0U2YllZmfhcz549+eijj3B3dyc5OZnCwkJWrlzZLBpw6Sz99NNPTJs2Dfjf2iUmJtK1a1fxvPZYl+TkZN566y3gzw6nlqreiYmJwc/Pj+3btxMRESESVVrCKS05FGQyGTo6OkLXUBZoaWnh4uLCRx99JJzlAQEBdOrUiWeeeeax111an6CgIHr06MHSpUvJzMxEVVWVpKQkvv/++2ZX+rYUGtoBGzZswNnZmcjISOLj47l27RrV1dWN3qG98Mwzz1BUVET//v0ZOnQotbW1pKeni2znv4Kc3LRpE//+978pKCjAwsKCBQsWMHPmTFRUVKitrb1v3+DWgqGhIa6urvz000/4+vqSm5uLjo4OgwcP5ptvvsHAwICkpCQ0NDTo2LEjly9f5rvvvmPNmjVN7iHSkBZJCoZ36dKFLl26MHbs2BaXs9JvTZ48ma1bt+Lu7s7o0aNJS0vD3d1dnMH2omptTUjv7u3tzd69ewkJCWHhwoW4uLi0OY2UqqqqCHytWLGCwsJCrl+/TlBQEPv27RMBcGVNrIX/MUdERkaiUCjQ1tZulMj5V5BH0vmrrq7mjz/+4OjRo7i5uTF16lR0dHR455130NfXJzU1laioKM6fP4+5uTkVFRXC9muPO2PHjh0kJCRQVlZGcXExEydOZNKkSVy/fp3Tp0+3WjuIhrSZbm5uQrcxMTFh8uTJT9Sj69lnn8XIyIj169djZWXFZ599xu3bt0WiysNkZVvYgZJ+cP36dbZu3UrPnj1xcHAgOjqapKQk1q1bh4GBQSMf1YOgUCiYNGkS8+bN4+bNmwwbNgw1NTWuXr0q2Jza+nzd+7zY2Fjc3d0JCQlh7NixBAUFoauri62tLV988QU2NjYMGjSoSXdYYGCgqJQLDAx8rAouCVVVVbi5uVFeXk5JSQm5ubmkpqaSnp7OpUuXuHbtGps3b27Wb8pksj8xyHXt2pXVq1e3WLJKdXU1vr6+/PHHH3To0IEJEybw/PPPk52dTXp6OqGhoeKeundOpT8PGjRIBCCDg4M5cOCA2NfKliz1dzCsmZAEZmJiIgsXLuTkyZPCcR8TEyOy2JurvGlqajYq1W3OJpEi//3798fR0VFcJlVVVYSEhHDmzBlREt3eBtTTCJlM1kgBlMvlYh5bci6lYEKHDh0aVXFMnjyZPXv2PJDiTDJC7ezsGDt27J/GpEwCpyHq6+uFg6umpgYHBwd69eqFn58f48aNa9e9KvU/+eWXX1AoFFy7do3g4GBOnDhBREQEX3zxBXK5nPr6ejp06EBoaCgxMTFkZWWRmppKz5496dKlC9bW1i1q2DQMorfk3BgZGWFra8umTZtwcHCgqKiIw4cPi6z7phpBtbW1TJo0iVWrVlFaWoqBgQHx8fGUlZWJTEdl3Y9w98IeNmwYcJeGZs2aNaxcuZI//viD0tJSIVuV0SiU5jUoKIg333wTVVVVkfHl5+dHjx49cHBwULo7QC6Xo62tTVxcHFevXsXX15edO3diYGDA6tWr/xR4vhcFBQVs3LgRS0tL0tPTqaqqYuTIkSxatIj9+/fz7bff8vzzzz/RGLdt28bbb79NUlISZmZmjSo3a2pqUFdXF4GCh0HaM3FxcXz88cdcvXpVZNweOHAAKyurv4NhT4jQ0FBefvllevToQf/+/Rk1apSo3NXR0XmoEu7i4iK4/qurq/H09OSHH34gMTERe3t73N3d2/JVlA7SvL3//vv07t2bixcvsmDBAjp27MilS5dEUo5MJqOwsBBbW1s++OADqqqqBOVSUyHJqZycHIYPH05+fr7oyyCXy1mwYIHIUG2PO6WtHE4vv/wyo0aN4saNG+jq6hIcHMyiRYuwsbGhX79+TJw48bGzvO+dt4bBMWVAbW0tdnZ27NmzB7lczuzZszE1NRXZ781l0JAgvV90dDROTk4cP35c3O0JCQliHdvjnpf2zrhx40SD9n79+tGvXz/mzJkjMufb4w6X5iMkJIQTJ05QXl6OTCbDxMQEGxsbnJ2dWyQxUBmgUCgYOnQourq6zJo1i9LSUhwcHBgzZgzDhg1rEnV4S2PGjBnY29uTmJhIaWkpXbp0Yc2aNZSWlqKvr8/333+Pubk5KioqdOzYEVtbW6F3N2UvS3djQkICsbGxbNy4kQkTJmBiYoKxsTF6enot7sQqKysjMjKScePGceTIEX799VcMDQ3p27evqM5UNl27JSDN4fPPP0+vXr0ICQnh4MGDbN++nZqaGvbs2dMmFJz3g76+PqNGjWLUqFG8++67IgFTWe6F+0GSO6GhoezevRuZTIaFhQWTJ09m5MiRQs9+miHddwcPHqS0tJSKigqCgoKYOnUqZ8+excTEBCcnJ9FqISgoiJ9//pmioiLeffdd7OzscHR0xNLSstX7OzaUJQEBAXz44YeYmZmRnJzM/v37MTU1bfV2ENIYLly4wN69e8nIyGDp0qWNKvcfF59//jlr167FwcGB0NBQ0tPTmTp1qtCBH3Y/t4UdKOly3t7eTJw4kVdeeYXy8nIGDRrEJ598gru7OwsXLnyoP0Cav1u3bpGQkIC7uzu//fYbsbGxpKSksG7dunYJstbW1hISEiLmGu7Shnbp0kVUHX777bfIZDK6dOlCWlpas9iUkpOTSUpKYv/+/fj4+ODi4kJ1dXWjBJimYs+ePUyaNAkHBwdqamqELldcXExRUZH43OPcqw0//yTJvveDr68vBw8epF+/flRWVrJv3z62bduGubk55ubmDBo06E/9/KS9lJ+fT1lZGSYmJqirq6OqqkrPnj3R1dUVSW3Kdpf8NbTWNoS0gIsXL2b37t1cvnyZWbNmER8fT2hoqIjwtqVgSE9PZ+XKlejo6GBlZYWrq6ugZxszZgxjxowRn1UmJ+jTgnuFVEsHwRoiLS2NxMREli5dyksvvUTv3r2pqKho1G9JJpMJoRMZGcnPP/9MYmIienp6mJqa0qVLF3r27Nluma2PgjR3Bw8epK6ujs6dOzNy5EiKi4spLi4WzRbb22lfU1NDdHQ03bp1E0HmVatWUVtbC9xdh9WrV9O9e3fGjh3L7t27SU9PJzw8nHPnzpGRkcGmTZuUslnkvZAyhMLCwrh8+TIZGRmYmpqyfPly4NEXl3RG1NXVmTJlCunp6VRWVjJ37lxUVVVZuXIl0P5r+ih069YNFRUV5HI5CoUCfX19Fi5cyIkTJ8jJyWHevHmA8l3k8L9zJTmhN2/eLOgWkpKSREBI2cauoqJCXV0dVVVVdOvWjeXLl7Nu3TpqamqaRAGWk5NDbGwsHTt25LXXXqOmpoYbN26gqqrKxo0bKSkpERUkj4O6ujocHR1RU1Nj2bJl6Ojo0LNnTwYPHoyTkxNdu3ZFXV29yfMaFxeHubk5lZWV1NTUYG5uTlVVFfX19X8Jg709oVAoGDZsGAEBAVy/fh1/f3+2b9+OlZUVGzduBB7uQE9JSSE+Pp47d+5w5swZLCws6N69Oz169BAO+If1rvsrQ5LxiYmJVFVVsWLFCvz9/bGysqKyspJvvvlG6JqnT5/mxo0bxMbGCgdN9+7dGThwYJPPiWTMu7u788033xASEsLSpUtxcXFBW1tbBMLaC23lcJKMz2HDhlFeXk5ubq6gZHd3d2fMmDEtRnmkbHfDO++8ww8//EDv3r25ceMG9fX1WFtbC9rIx3WSS+85ffp0PDw8OH/+PPv37yc7O5vz588Lx0lbz4d0xgoKCqitrWXlypXMnj0bS0tLrK2tsbCwaHN6q4aQ5uPo0aOYmJgwY8YMiouLSUtL49KlS6ipqWFhYaF0Wb+PA5lMxoQJE4C78iwuLg5/f39Onz7Njh07MDQ05OzZs20yFrlcTmhoKGfPnqVnz55YWloK+27Tpk1ERUVhbGzMgAEDBF0z3KXykmRQU86KpEPq6uoyceJEUaGlp6eHlpYWL7zwwhPpUve+k4qKCgEBAQQFBbF161amT59OcnIydXV1St/vuqWgpaXF8OHDRY/CvLw8goODRSJbW56l+z1LJpOJRBZlEYdiIQAAIABJREFUtt0kLF++nOXLl1NQUIC3tzfffvstu3bt4vjx443OxtMIaW2uXLnC+vXrqaysFHTBQUFB9O3bFycnJzQ1NRsl7MXGxuLr64uPjw+fffZZi7dauB+kvRQZGcnYsWNF0MTAwIDExER+//13du3axfz580XrmZZuByHt17Fjx1JbW0tQUBAvv/wyqqqqGBoasmnTpsdizMrMzCQiIgKAAQMG0Lt372breq1tB0rvrlAoxNi0tbWxtrZuFGh7WOFGw2DinTt3GD9+PP/85z/R0NBoV/3b39+fAwcOMHLkSORyOZmZmWhoaGBtbc3777+PiYkJdXV1xMbGcvPmTV566SURAG2KLF2zZg1XrlwhLCwMHR0d/vjjD9ELzsLCgjFjxjR5vQMDA4UfbceOHbzxxhsYGRmhp6dHfn6+oClXNn3J39+f5cuXC5tuzZo1XLp0ieeeew64fz+/+vp6VFRUOH78OPv27RMsara2tvj4+AjfqTImk///s+ifAA0VBVtbW9zc3FAoFLz22mvo6emxbNkyUZbdlhvb3NycEydOUFpayo4dO/jyyy/R0tJCXV0dS0tLZs2a1a4c8087ZDIZKSkp6OnptXj0/V7U1dUJg+Do0aMkJCRQXV3NkCFDuHnzJubm5nTs2FFcYD///DNjxoxBR0eH0tJS1NTUOHr0KGvWrAGUrxRVQn19PQsXLiQgIIA1a9ZQVVWFhoYGNjY2IuDQng7Hmpoa3nvvPbKzs0lJSRF0JCNGjBC9zORyOSNGjODq1ausW7cOdXV17O3tGTJkCNOmTUOhUDTifVdWVFZW8vHHH/PGG2/wzTffEBkZSWVlJc7OzuIzjzKCZDIZOTk5qKiooK2tzZIlS8jIyBC8y5IBrezG1Jtvvin610kYP348gYGB/PHHH3z11VeA8r5HfX09U6ZM4dVXX6WwsBBtbW1u3LhBSUmJUPqVUR789NNP/PLLL6KSsn///syePbtJ37WxseGLL77gyJEjrFmzhqlTpzJt2rRGCv+TBGHV1NSYOHEiBQUFeHp6cvPmTfz9/fHy8mLPnj3Y2dmxb9++R/6OJIstLS2xsLDglVdeEWN0d3cXVAzKHjBWVjS864yNjXF1dRWZ5Q1xPyW8traWOXPmoKWlRVlZGU5OTqxatQoNDQ3RkFzC/8dAWEPExMQwaNAgIiMjxZ6NiYnBwMAADQ0N8vPz+fHHH3nxxRfx8fFhyJAh7Nu3j2eeeYYff/xRUIE/CtI6rVq1CicnJ7y8vNi6dSv5+floaGiwb9++P61NW+Le3p6t7XCSqsL19fWxsbFhzJgxVFZWNjtTVYJCoSAqKorbt2+LvrjKgIbZyBLli6mpaatUzNra2hIWFoampibTpk2jd+/eTJkypUX7LjQHDTP/Q0NDmTBhAsXFxQQGBuLl5cWwYcMEbXB7oCH157vvviv+vbS0lJycHFG5+VeDQqEQGd1wt5opJSUFaN37WnIanTp1iosXL6Kjo0NCQgJHjx7lzJkzbNmyBVdXV+zt7Tlz5gzbt2+nS5cuzJw5k/79+z+2w7Lh3ZmRkUFoaCiRkZGtZv821H2kQPdfGdKeycrK4sSJExw5coQlS5awZMkSDA0NG/Wdb219/WGUvsrqP2gKDAwMeP7557GzsyMsLOypD4TB/xIHa2pq6N69O9HR0aIvWHJyMi+99BLw53Xs06ePeP/WarVwL6QxFBYW4u/vj42NDU5OThgaGlJQUNCIZUVNTa1V20GYmpry4osv8uKLLyKXy4mMjOTChQvo6uoCTd/n0lhu3ryJmpoaUVFR2NvbNysQ1lZ2oEwmo6amhrS0NM6ePUtxcTHdu3enuLiYrKwsli5dCjQtSSI/P18kdevr6z/2mFoKYWFhTJo0Sfzdy8sLe3t7Ll++TGBgIKNHj6Z///44ODg8VmuIzp07N6LRTEpKIiwsjPDwcC5fvoybm1uTfkdKUunUqRO3bt0iIiJCsE4pFAo2bdrEDz/80OzxtYVcDgsLY/z48ZSXl6OtrU1JSYkIKD4oIXT16tVYWVkxYcIEXFxciIuL4/LlywQFBTF27FhBI6+Md8r/b6u+GZA2X3p6Orm5uZSUlGBmZsa6devQ19enqqoKQ0PDdhtb586dMTY2RltbmzVr1jBhwgRCQkK4ePEieXl5gHJGY5UdpaWluLu7Ex0dTWVlJXv37iU3N5eOHTvSqVOnFnuO1JOsR48emJubU1JSwp07d8jIyBD9NjZt2sTixYuZMGGCWMfU1FRGjRrFyZMnee+99zA3N+ff//53u1B4NAXSOVJVVWXWrFnMmjVLOGWioqKIjIxkzpw52NjYcOTIkXYb36VLl0hMTOTgwYNUV1cTERHBxYsXOXDggAiGqaqqMnfuXFExEB8fj7+/PydOnBCBoBEjRginqrKiqqqKoqIivv76a1566SVh8Df1wq2trSU4OJhvv/2WiIgIDAwMcHBwYM6cOU9dpYtEU9oQHTp0YOHChdTX19OpUyelDlaoqqoyZcoUMjIyUFFREb0iVq9eDShXoKVhf4ojR45w6NAh0dD3u+++Q1VVlZkzZz7yd1RVVYXSm5mZye+//46XlxdOTk4tQuEgKX4ffvghQ4YMYd68eaJvT0VFBbdu3QIefb9KZ6ljx45MnjyZW7dukZeXx4gRIxg1apQwTv7G46Guro6wsDA6dOiAQqHg6tWrqKqqUllZyfXr1/nmm28eGMhKSkoiNTUVMzMz5s6di6mpKWZmZnTu3JnKyspWp5R5GiDt3169epGens7OnTuZOXMmpaWlnD59WpyJ4OBgnJ2dGThwIGZmZqxYsUJU0zc1EFZWVkZoaCjOzs507NgRZ2dnkZxRXl6Op6encBooi8OutR1ODd9TJpOhqan5WPtSklP79+8nLS2NX3/9lY0bN2JtbU1kZCTW1taPHWBrCTSkV0pISODbb7/Fzc2tRXRa6bdLSkrIy8sjJSWFYcOGMWvWLIqKikRVdXtB2idpaWmCkiYnJ4fMzExu3Lgh9ld73uO3b98mNTWVbdu2MXv2bKytrdHV1RWORVBOZ0dzIe0VT09PvLy8SE1NxcHBgfHjx+Ps7Iy9vX2brYOfnx8zZ84UWdp5eXls3bqVqKgoBgwYgJaWFi+++CILFy7k+PHjHD16lJSUFKZNm9ZkGSG9S15eHoGBgVy7do3KykpGjRrFjBkzBGNHS0Gat++//14k0k2YMAEjI6N2r/ptbUjJrLt27WLIkCEMGjRItLLYtWsX1tbWTJkypU3G8vvvvyOTyejWrZvwIbVUv8u2gqSju7u7k5+fz7Rp08R9kZycTGhoKIsWLVIaXeFJoKKiwpQpU5g9ezYVFRWUlJSIXpJNqX5prVYL90IaQ2VlJXp6epw6dQo/Pz+ioqLo2rUr8+fPf6BTvSXGKK11XV0diYmJ+Pj40LdvX/r16ycqVu4d66MgjaWkpITi4mLWr19P7969sba2pmfPngwdOpSOHTs+9Dfa0g6sr69n4sSJ2Nvbk5SUREREBMnJyQwfPpzg4GDMzc1Fa58Hva9cLqekpAR3d3fCw8Oxt7fHwcGBPn36tBvrUWBgIOPHjyc9PR19fX0xZ1euXAHu3ilFRUWYmZnRo0cPli1b1qxEHYVCIXyyUrsJa2vrRjTVTZElPj4+IhE8Kiqq0VxfvXqVDh06oK6u3iw9Qnpua8qygoICzMzM8Pf3Jzg4GH19faKjo+nYseMDz2x9fb0oDnjnnXfo2LEj/fr1Y8yYMVhbW2NmZtamPVabi7+DYU2ETCYjODiYHTt2kJOTg7m5OXp6enTt2pWXX34ZU1PTdgs2NexplZiYyJo1a9DQ0GD06NGMHj1aKF5/B8KaDmktL1y4QFJSEpaWliIT8ObNmyQmJrJ48eIWe54kHGpra9HQ0BCBVUtLSzp06ICZmRkjR45slN1UVFRE9+7dUVFRoaqqivT0dDp37kxKSkqzSoLbCpLAbyjECwsLUVdXx8HBgfLyclxdXXnvvffIz89vlzFKY6upqeGll15CV1cXbW1tkSkpXZANLySpV1CvXr3o1asXS5cuRS6XExYWxr59+wgODm5EVaps0NfXZ/Pmzezbt49FixYxYcIEVqxYIfpVPAq+vr54eHgwfvx49u/fT0xMDJ6enmzYsIFXX321Rc9Ja+NB56Vv37588skngHJe5A1hYGDAqlWruHbtGs8++yx6enpCEVTGsaempjJixAiR/d+3b18sLCz47rvvmDlz5kOVvqKiIs6ePYu+vj6WlpZUVFQgl8u5fv06hw8fplu3bnzzzTdPFIyWFD9VVVXRDFaClpaWcJ4+7H6917nfp08fPvnkE2JjYzE0NERPT08kVyjjGik7du7ciY+PD4MGDSI8PBwLCwuKiopISUlh5syZLFiwADU1tQfuJVtbW06fPk14eDhBQUGcO3cOFRUVzM3N6datG0OHDsXOzq4d3kz5YGtrK/pAnjx5Ek9PT3r27CkqOWNjY+nXrx9BQUFizqTekdA0R76Pjw++vr6i8isxMZGzZ8+ira3NrFmzGlWNKpOOI6E1HE4t9Z6SnPL09OTw4cMUFhYKRosdO3awZMmSdmWSkOZLTU0NR0dHgoKCuHbtGnp6ehgaGjJ37tzHDozJZDLi4+PZvHkzWVlZWFtbo6qqyrPPPsuKFSuwtbVt16RBSfcsKysjKioKc3NzTExMMDExEZn00L53RElJCfb29kRHR5OWloaWlhbGxsaMGzeuXSs1WxoymYyysjI+/PBD0f4gKCiIHTt2kJyczMWLFzE2Nm7VMUj7sKCgoJGT1cjIiLy8PF577TV69uxJt27dyM/PJz8/H3NzczIzMzlz5gy2trZNzoyX/ATffvstOTk52NvbY2hoiKenJ5WVlcyZM6dFg3/V1dVoaGjwxRdfEBAQgIeHB0eOHMHY2BgHBwfWrVv3l9WFpHVNTk5mw4YN+Pr6Ct0yJiZG6JRtEWz19vYmJSWFLl26IJPJcHJyomfPnpibm6OlpdUoyK2skHR0TU1Nzpw5w969e9HW1mbAgAFUVVWJKpLH7TGpLJD2w/Tp07lz5w5RUVG8+eabaGhosGHDhkafaW9IuvZrr71GbW0tSUlJ3LhxA01NTeRyOefPn+fSpUu89957raLDSWv9/fffk5eXR3R0NMePH0cmk6Gjo8PixYublGx5P7i4uODo6EhqaiqJiYlkZGQQEhKClZUVVlZWD/xeW9uBmpqaTJ06FbiboFVYWEh8fDyXL1/Gx8eHgQMHPjQYBncDzS+88ALTp08nPj6e9PR0jhw5gqamJp9//vkTj7G5yMvLIz8/n9DQUE6dOkXnzp2xs7NjyJAh2NnZsWXLFtTV1cnLyyMoKIgLFy481plv+B3Jz9fw35uyZ3Nycrh58ybbt2/Hz8+vUeua69evC5n/MKpKCdK5Xrt2LcuWLcPa2loEpr788kuGDBnSiM3pSaCnp8f69etJS0sjLS2N7OxsbG1t+eWXX0SV/L1n50HFAe7u7mRkZKCmpiZ8i48KGLcH/g6GNRFZWVl8/fXXLFy4kBkzZpCRkcH169c5duwYS5Yswd3dvV2yKVNSUkhKSsLV1ZXs7Gz09fVFIEVy3CvDxfi0QRJ0QUFBLF++nODgYOHYuXLlisjiagnFIzY2lpCQEDp16kRkZCSJiYno6OhQVFQk1vbTTz/9E43NM888wwcffECHDh2YMWMGBw4cQEdHB319fXR0dJRGKZIgl8s5ffo0CoWCoKAgCgoKsLKyIiAgAFVVVbp27cr69esxMTFp0aq75kCarwMHDlBdXY2BgQHDhg370/83zNBueCk2PHODBg3i3LlzlJeXt9XwHxt6enqsXbuW559/njNnzvDjjz+ydOlSwRX/MJw+fZpJkybxj3/8A0D0VxswYAAnT55k0qRJTz19jrKdpfuhrq6O33//nS+//JKePXvi5OSEvb29UtAa3A+SsZKYmEhqaiqXLl3C2dkZuVxOeHi4COg/zICNjo4mMDCQ/Px8bt++Td++fQUNR1FREZaWlmhoaDxxFpXU7PZf//oXixcvpk+fPlhYWDTpfMCfnfvJycn4+PjQsWNHpk6d2m7y7q8CQ0NDUlNTGTp0KO7u7mhoaLBq1Sreeecdpk+fTl1dHfBwA0bqzSR9Pjo6mvDwcAICAjAzM8POzu4vkVncEnBzc2PKlClER0cjk8lENTHA3Llz0dXV5datWxw9epQ7d+4QFxfHG2+80eTfDwkJYdy4cejo6BAfH8/u3btJTU1FJpNx+fJltm/f3uqU1e0Naa/duHGD77//ns8//7zF9l9OTg7q6upoamqSmZnJwIEDgbvJSQ3Xsj0xfPhwhg4dSm5uLikpKaSkpBATE/NE93BNTQ1bt25l4sSJTJo0iby8PJKSkjh37hxz587l8OHDdOnSpQXfovm4ffs2CoWCTz75BG9vb7p164atrS2Ojo5KoUf17NmTjRs3UlVVRVxcHAkJCURHR1NcXAw8HbrSoyCds+TkZKZOncr48eNRKBSMHz+e+vp6bt++3eqBsIZYsmQJX375Jbm5uTg7O3Pt2jWKi4v54osvqKioIC8vD319feRyOenp6fTv358FCxY0iyJK0rECAgI4f/48cLeqw8jIiB9++IGhQ4e2GONIdHQ0Hh4enDlzhiFDhrB27VoWLlxIcXExAQEBpKamiqqEp30vPQilpaWYmZlRU1NDbm6ucIzm5ua2KU3rxx9/THp6Ops2baK0tJTc3FyKi4uRy+W4urqycuXKJvXubW9UVFRQUVEh+vhJ/a+HDBki7rSnORAmJd3GxcVha2vLihUryMrKQkNDAw0NDaWqupDkp1wu5+bNm4SHh2NlZcWMGTP45z//SWJiIsnJydTX17eaPi3NQ2BgIFu2bOHzzz9nxYoVpKenc/78eZ599lng8RizjIyMyMnJYciQIQwfPpyKigqys7MfGgiDtrMDpUSDmpoaEhIS6NSpk7ivCwsLWblyJbW1tdTU1Dz0dxQKBerq6vTp04e6ujqcnZ2pqqoiLS2N6upqoO3v+6CgICZOnMgHH3xAaWkpV65cITAwkL1795KVlYWJiQnvv/8+ffv2feyK5nsrr+718zUVr776KikpKaSmptKnTx8SEhJYtWoV3bp148SJE+zduxdo2plVUVGhpqaG1NRU4QuWkgAcHR0FvXBL2AiqqqrY2NiIvp3FxcVkZGSQlJREfHy8qDa/d+0fVhwQHh7O3r17CQkJUcrigL+DYU3E77//Trdu3ZgxYwZyuRwzMzPMzMxwc3Nj9erVXLp0qRGHaVshNjaWffv2sX//fvLy8ujUqZMQCE/zxd/ekA64jo4OeXl5nD9/ni1btgB3FflXX321xZ61b98+Lly4gJOTE//4xz947rnn2LJlCy4uLvz2229kZmYC97+0JcEzduxYqqqqMDExURpnxr2IiIhg3bp1/B97Zx5XY/r//+c5p1V7UpJ2tKgkiYYG2TXZ18GIzJjFYPbxYRjrrMxiN2YYxjK20FgHKWlBQnvaS7Qo2rWc8/vD776/moWQOozXP/MYnU7Xfd3X9b7e13t5vV5++WWGDRsmisGrqKiwadMmSkpKlEK3oqamhsmTJ3P8+HHmzp1LXV0dHTp0wNPTk+nTpz/w4Prrz6ZNmyZyBCsjKisrCQgIQC6Xo6qqypUrVzh37hx5eXki//jDkJ+fL3IrKxQKamtrUSgU+Pj4EBgYSE5ODiYmJkodSC4uLqaurg4jI6N/HKcyXDD+DYJDcuLECbZt28bs2bPJy8vj2LFj/P7772zevFkpA8eCLUtOTiYnJ4fFixdjb29PcXEx1tbWYkfhg84xT09PXF1dxYvg9evXqaurw8zMDJlMRlFREfDkDmJpaSkeHh4UFBQQHR3NpUuXkEqluLq6Mnr06If+/l+D+6tWrSI9PR2pVEpoaChfffWV0iYtnwUI3SIBAQH89NNPzJw5k9zcXPEsbIjOl0KhEAWAVVRUcHV1xdXVlWnTpomVe8pqv542BBuTkJBAcHAwkZGRyOVyhgwZIlaeCrCysgLu8e6/8847XLp0idGjR9OzZ0+gYbY0Pj5e1D09cOAA2trabNu2DX19fV5//XVSUlLw8PBQ6jPlSSE8W0xMjJigEZ71SQMQLVq0wNPTk+XLl4tBoZCQEHR1ddHX11eKea2uriY2NhYjIyO6deuGl5cXVVVVT1RVGhYWhqqqKpMnTwbuBbUcHR3x9fXlgw8+IDo6utmTYYaGhixcuJDCwkISExPJzs5m79695OXl4efn1+zvprKykgMHDqCurk7Pnj1xd3enoKBA7CBRZl+poRAKcM6fP8+dO3coLCwUi0yFwr2mGINUKiUkJAQdHR0GDRrETz/9xJIlS+jduzeenp6sXr2aSZMmMWLECLET9UmQl5eHsbExycnJ2NraoqmpSc+ePVmyZEmjavatWLECR0dHVqxYwZ49e9i8eTNz5sxBT08PX19f8XPPw1r6J8jlcnR0dOjRowc+Pj7o6elx+vRp4uPjMTExQVtbu0n2eU1NDaqqqkRHR2Nra8v//vc/4F6Q/ptvvuH69esi7XRznwf/BmFsFy5c4NixY2IHY5cuXcQij+cBEomE8vJy/P39kUgkdOzYkX79+vHSSy81G13dw/DNN9+QkpJCq1atOH36NDt27GDhwoX1KKWfFiQSCaWlpdTV1WFtbU1GRgYvv/wyEomEiIgIUUO7oXFSIf4WHh5OREQE165dQ1NTEysrqwZ34DbFPTAnJ4eVK1eSkZGBlpYWLVu2JDIyErinBXnt2jWGDx/eIMpyiURCUFAQcXFx5Obm0qpVKzp37oy1tbXIJtDUNjopKUnc1zo6OvTu3Zu+ffuyZMkSrl27RlFREZ999hkqKioYGRkxY8YMPD09G/TdN2/e5LfffuP06dN0794dPz8/kY79UVFZWYmJiQm2trYoFApKSkrIysoiKyuLlJQU3N3dRWr5h9lWwcZdv34dMzMz9uzZQ79+/dDV1UUmk+Hl5SV+trHstEAVKZPJ0NPTQ09PT9wzQhL1r+/+Qc0B7u7uWFlZKW1zwItkWAMRHR3NiBEjgP8L+N69exctLS0cHR2JiYlh0KBBTZ4lF4Tq0tLSiI2NJSYmhg8++ACFQoG+vj4ffvgh7dq1a7LxPG+YOHEiGzdupKioiKKiIrFNVKjiaox3/eabb2JmZoaenh79+/fHwMAAAwMDseVVuHj99dAOCAjg559/pqamhsDAQCZMmFDPaVW2i0Tbtm0ZPXo0sbGx1NXVMXbsWE6cOEFycjJmZmZNcsF8EARn58iRI+Tn5/Pjjz9SVVVFWloaZ86cEZ2WR7kYNPczPQwJCQlERUVRUVGBiYkJ3bp1w83NjVatWjUoKBYfH8/NmzfJysrC0NAQAwODelWEGRkZotOkrJcpuPccCQkJTJ8+/W/jlMvlj10Z1BQQxpWamoqvr68ofD5x4kQWL17MgQMHmDZtWnMO8YH46quvgHv0MKGhoVy+fJnQ0FBiY2Oxt7dn8eLF/5rMkMlk9Tqyhf0mJC+EJODj2kLhPE9LS+PVV19FRUWFjIwMsrKyiI+PFy+hDzv3/xrc19HRYfv27WJw/9q1a899cP9pQlVVlT59+tCyZUtWr15Nt27dUFVVFRMzDYFEIqm3zoTLgFQqffFO/j++/fZb2rZti5+fH3fv3iUgIACpVMqoUaOQSCQUFhZy/PhxEhISGDRoEH379sXT0/ORNGAqKyvp1KkTp06dolOnTgQGBrJy5Uox2F5YWCj6tM/zexGeraioiOjoaIKDg3FxccHAwOCJfbuamhqcnJxYu3YtcrmcMWPGYGpqKlKcNBedlOCD7du3j4sXL5KWloa2tjb6+vq0bt0ab2/vJwpwnj9/XqSqqaqqQiaTUVdXh4aGBp6enoSGhuLj49OsdlhbW5vS0lLat2+Pm5sbdXV1ZGdnN7gL+Wng/mT4qlWr0NTUJD8/n++++44xY8Ywe/bsZhvb08D99IQhISGcPn0aZ2dnevfuTY8ePWjfvv1TXyPCd+/YsYPZs2fj5+cnasCWlZWhra3N2bNnCQkJIT8/n7Fjxz4x/ZCJiQl9+vThhx9+YNy4cZSVlREdHY29vT0ymaxR4ht3796lsrKSjz76CAALCwtmzZpFWVnZAzVJnicIczhy5Eh0dXWJjIzk119/xdHRUSy6bQobJMxzWFiY6DvX1NRgY2ODl5fXI+njNBeEs6qgoAB9fX1u3LjRqIlbZYKWlhZ//vknaWlphIeHs2fPHhYsWEDXrl3ZunVrcw9PhKDLGRoayi+//IKWlhaVlZWsXbuWzZs389577zWJjnphYSEDBgygqKgIGxsbLl68iL6+PsnJyQ3WrxUgrP+NGzfyyiuvEBwcjLu7O2FhYRw/fpxPP/30oUW/TXEPvHLlCkeOHOGtt96iZ8+edOzYkcjISNatWyfS/TYURUVFrFmzhv79+3Pu3Dn69+/P0qVLsbKy4vvvv28WNrShQ4fW64KSSqXU1dVx6dIlfv31V3R1dVEoFMTGxnLkyBHxTGzI2fX999+jpaXF1KlTOXToEN988w1ff/31Y2nzbty4kdTUVDw8PGjdujXW1tbY2tri7OxMbW3tIyWFamtrUVVV5eLFi2JiMiMjg/bt29OmTRtsbW0bPSF+v/wSUK8gtKGFN89Sc8Dz7XE0Ik6ePImdnR2Wlpai0yA4EvcnypoaN27cID09HRMTE/z8/KioqCA/P5+srCyioqJEg6/Mzowyw9bWlqFDh1JTU8OaNWtwdXVl7ty5yGSyRptTR0dHNDQ0WLNmDb6+vkyaNEkUufwrhL8ZGxvLoUOH+Oqrr5g7dy5qampERUVx8OBBFi9e/MRjehpo3bo1S5cu5fTp02zZsoXMzEzOnTsndlYIVWrNBeFdCqLUgMjrfH8V0/O0j5wLS9gTAAAgAElEQVSdnfniiy/+9XB72LPevn0bOzs7tm3bhkKhwMTEBEtLS1xdXcnNzcXMzKzJqhyfBObm5mzdupXIyEjGjh1Lp06d0NfXR01NTTzQq6urG6X6trEhzOudO3f+5uAXFBSI3THNqYXyVwjroby8nOzsbFq1akXHjh3FyqOamhrCwsK4du3aYwVGGmutVVdXo6GhweLFi9m7dy86Ojo4ODjg4OCAnZ2d2FXxICf7RXC/6eDi4sLGjRs5cOAAgYGB/P7774wdO1a8ND0IxcXFaGlpiXv8r5eB/zKkUimVlZWUlJSwaNEi4N4FzdDQkOXLl9OrVy+MjY358ssvsbOz48yZMyLV05EjR+jcuXODu741NTXx8fHh888/B2DQoEF4eHgA9xLm6urqGBoaKv2Z8qS4X4BeKpWye/dugoKCMDY2xtTUFB8fn8c+jz766CN+/vlnHBwcSEhIoK6uDltbWzHI0FzrXtije/bsYf78+Xz55Zd4eHgQFxdHeHg43t7ewON3xh05cgR/f38AMUgi+JxXr15tEDXv00RRURHff/89paWl1NTUYGBggL29PZ06dRIT+82x5oVASGBgIHZ2dmLyKyEhQaS+aWj19bOEjz/+mI8//piEhATCwsIICQlh7dq1nD59+qkHAiUSCbW1tVhbW1NTU1PvZ0JxgZeXF61bt+a3335j6NChDBs2jFGjRtG6detHso/5+floa2vTokULhg8fTkVFBdu2bUNbWxtra2vGjh0rjulJce7cOW7evCn+v6mpqaiTXVtb+1zb9NraWr766ismTpyIpaUlEomEfv36YWFhIVJSCWiKYlZhrseMGcO6des4duwYgwYNIj8/n927d/PJJ5/U+5wyQrDTOTk5xMbG8vnnn9OxY0csLCywsLDAxcXluUiuCvu5RYsWODk54eTkhK+vL9u2bRPjFcpwx7s/RmVmZiYGv1u0aMHkyZOZP39+kyTCAKytrbGyskIikeDp6cmbb76JpaUlEydOBB5tvqRSKVVVVZSWljJq1Ci2b9/O7NmzuX79OmvWrBFjRP+2V5rqHigU8/z666/U1tbSqVMngoKCxHhiQ+IYgn8VFhZG165dGTp0KJGRkcybNw+ZTEaLFi2aJRGWnZ3NN998g4eHB+7u7tja2qKvr09FRQVeXl7k5ORgZ2eHTCbD2dkZZ2dn8XcbYk/T0tL48ccfad26NWPGjGHKlClkZGTg4ODwyPeN7OxsLly4gLq6OsnJyZw6dQpDQ0OsrKz+pgH7MMyZMwcbGxu8vb1ZvXo12dnZXLp0iWPHjpGTk8Pnn3/eaMkw4d1fu3aNli1bigXFjXEGKHNzwLN/QjQBysrKmDRpErGxsRw7dgw1NTXs7Ozo1q0bHh4eFBYWNinHs4CQkBB+/fVX4uLiqKurY8CAASxbtgwrKyusrKzo3r17vcDOCzw68vLyaNeuHT/++GO9C3hjB2JsbGxYsWIF58+fZ8OGDWhoaPzj3xAu6WfOnKFfv37k5+eLh3BpaSl5eXni55StM0zosPH29sbIyIitW7eKXLpAs/OSC/NVVVXFn3/+ibm5OR06dFBKscfGQnx8PIcOHUJDQ4O3334bdXX1R7o4uLu706pVKzIzM8nKyiIvL4/Q0FCioqK4cOECvXr1ApRfuNjCwoINGzawf/9+/vzzT8LDw7G0tERFRYUbN26gp6eHhYUF3bp1Q19fv7mH+zeUlJQQFBREbm4uhw4dolevXiKd77BhwwDl4ssXbNu6des4deoUhYWFWFlZ4eLigrOzMwMHDqRXr17i+mkOFBUV8dNPPxETE4NMJqO0tBS4p9VYWlrK+++/z/79+x/6PS+C+00H4dzz8fFBU1OTJUuWoK6uzvDhw/91foXfWbNmDW+99RYtW7YUP6usCfCmhDAXmZmZtGjRgqtXr4oBJiHRbmxsjFwuJz09nRUrVnDu3DmRNmbHjh1ioK+ha9zT05PAwMB6tHi3b98mMDBQFPxW9jPlSSHM1TvvvENdXR1XrlwhMTGRnJwc8vPzH7kAT/i+rKwsMRhlamqqVFX0QkW5QqHAycmJkpISZsyYAcCMGTPEZN3j+LbV1dW8/PLL7Nq1i7Vr12JhYUGPHj3o06cPzs7OXL9+XeygbmrfWbBBQUFBZGRkMGPGDMrLy8nMzOTq1aukpaWJmsXNgfspje/vAnNwcEBVVZXCwkJAOe8djwuFQkF8fDxlZWVYWVnh7++Pv7//E1N1Pgri4+PZvHkzgYGBjBs3Dm9vbzp27Fhvjtu3b8+iRYtIT0/n4MGD7Nu3j+HDhzc48FRWVsYXX3xBjx49GDVqFIaGhsycOZPq6mpu375dTxutMfwTmUyGhoYGXl5eGBgYoKKiIvrUz0PS4kGIjIwkKSlJTGzHxsayYMECWrVqhZeXF5MmTWqWcTk7O9O1a1e+/fZbPv74Y+zt7enbt6941iqrX1pdXY1cLkdDQ4NXX30Vb29vYmNjyc7O5vz584SEhLBs2bLnYl1JJBKOHz9e7w7aunVrsrOz6d27N6BcbECmpqaUl5ezcuVKXnnlFQwNDTlz5oxol5oicXe/vzlhwgQGDhyIXC4Xi0Yfdb6uXr2KmZmZqNWmo6ODjY0Nubm5D5UiaMp74CuvvEK7du3YunUrq1at4uzZs2zZsgVoWJxN+PuRkZF0796dU6dO4ezsjEQioV27dqSlpQFNf97r6+vTvXt3YmNj2b9/P6qqqmKM7tChQ5w/f17U9G7VqhWampoNnsuMjAxKSkowNDQU6fJLSkrEu8ujvpNZs2ahoaFBYmIiAwYMwMbGhoSEBC5cuMCdO3ca7M/V1dXh5eXFhQsX+PTTT1FTU8PZ2Zlu3brh6+uLQqHAwcHhkcbWEHzzzTdMnToVT0/P58qv+zc8+ydEE0BbW5t3331X1DhKTU0lLi6OAwcO8PXXX4tZ8qZeMAcPHqRv3778/PPPpKam8t1333HlyhUxQPFfD+I8CRQKBR9++CHFxcW0bNkSTU1NzMzMMDY2ZsiQIY1e2SJUXnbp0oWZM2eyadMmxo0bx4IFC+oZTcF50NTUxNTUlNOnT4tadcHBwWJ1pvB9yoT794aLiwsLFy5kw4YNvPbaa0ycOJH33nuvGUd3D7dv30YqlZKXl8evv/6KgYEBpqam2NjYKKXo4+NAcLYSExNZs2YNFhYWBAUF8dFHH3Ht2jWuXr3KqFGjGvRdampqtG/fXqyovnPnDllZWWRmZqKtrS0G7JT1MiVAsN2+vr7Y2NgQFhZGUlISRkZG6OjoUF5ejrOzs1ImwgB0dXU5fvw4KSkphIaGEhwcLHZVZWRk4OPj8zdtn+aEIAYbEBBAaGgoFRUVhIeHExISwg8//EDnzp2xtLRs1gSRoaEhfn5+LF++nNu3b+Pv74+WlhYuLi6oq6uLFY8NudS9CO43DYQzRlVVlYEDB9K1a1exiv6f1lF1dTVpaWkUFhZy9uxZ5s6dW++zAQEBjabH8qwjIyODoqIiFixYQK9evSgvL6esrEwsBEtJScHc3JyioiJqa2sxNzenurqauro6MTH2KHtZTU2t3ryrq6szbty4xw5kPEu4PxkbGRlJbGwsEyZMoHv37lRUVFBSUlLvc4/yncnJySQnJ7Nx40aGDBlC27Ztn+ajPDIyMjJwcnIiNzcXPT098vLyqKyspKCg4In0NNTU1Fi8eDFyuZzMzEwiIyMJDQ3lwIEDlJSUIJfLm637Svh72dnZTJkyhR49egD3EhV5eXniPmjuggkfHx/mzZvHW2+9haOjIy1btiQpKYn3338feD72pHCe//TTT6SkpHDo0CF+/PFHBgwYQGJiYpPqGnfs2FEM8oWGhnLw4EFu3rzJrFmzeOONN4B77DCqqqpYW1vz5ptvsmHDBiZPnsy0adMalFwJDQ0FEBk6hOeXSCRcvnwZCwsL7O3tG+2ZhCKn/Px8oqKiuHjxIpGRkbz88suoqamxYsUKpdW9flKEhYWJe/vy5cts2bIFGxsbXF1dOXjwIPb29ri7uzf5uNTU1JgxYwYzZsygpKSE27dvP7ZWTlPi8uXLaGho0KZNG3JycrCxscHFxYWamhpyc3PJy8t7LIozZcStW7fErmFdXV3c3d3p0KED8fHxIqOGMtyzhTFYW1vz7rvvEhAQwG+//UZcXBwWFhZiccvTHOu/SRv8NWH1qGPo0qULFhYWqKqqYm5uzttvv41CoRATJg+LATflPdDe3p633nqLn376iYKCAo4ePcqECRPETrQHQZiXSZMmYWBgQGxsLCdOnGD9+vUcP36cWbNmPfH4Hgc6OjriuQf3kpMhISFcvHgRmUyGmpoamzZtoqysDJlMxty5c+vpaT0IN27coLCwkPHjx9OuXTt0dHTQ1tZ+bHpgCwsLli5dSmRkJCdPnsTKyoqZM2eK0isN1XGXyWSMHz9epDBPSkoiODiYgIAAcnJy0NbWxsvLi5kzZzZKXFp4Th0dHSwtLev92/MMiUIZo+ZKDoVCwd27dyktLSUrK0vM1DZ1i/LYsWNZv369uKlee+015syZg5ub238ik/s0IFw2IyMj+f7775k3bx43b94kOzub69evI5fLWbBgQZOM5auvvmLUqFG0a9eu3iW4rq6O3NxcFixYQFxcHNOnT6euro6IiAgWLFggCjYqg2PUEJw7d47r168zduzYZm3zF+bs9u3b3Llzh8TERDIyMsjIyMDMzIyZM2c+U/P6bxDm+Oeff0Ymk+Hm5savv/7KihUrOHz4MAEBAWzatKnBNkShUDSIhuxZxN27d5uM0uFJUVRURIsWLVBXV0cikVBRUUFCQgJHjx7FyMiIN998s7mHWA+FhYXs2LGj2RzrhuLy5cvY2Nigq6tLaGgoISEh6OrqMmTIEGxsbB77rK2srOTmzZvo6em96AxrZMjlcuRy+UMrgvPz89m+fTuBgYHI5XL8/f0xNTWlXbt2pKen8+2333L48OEmGrVy48aNG9y6dYvU1FSuXbtGfHw8UqkUKysr1NTUGDNmDIcPHyYoKAgzMzN+/PFHVq9eLRZqvfBJGw7BFnz44YdYWFiwa9cufvjhBzp16kRkZCRubm6PrSF15swZjhw5Ql5eHi1atEBPTw8jIyPGjx+vNImx2tpa6urqWL9+PeHh4aioqODs7Mwnn3zS6D7i3bt3iY+Pp6SkhF69ejWrD5qWlsaaNWsYPXo03bt3V4rzQFiLBQUFyGQyAgICyMzMJC8vj4yMDF599VWmTJnS3MNsdPj6+nLo0CGmTJnCwoULsbW1Zfz48fzvf/8Tk/tNjdraWi5duoSenh52dnbs3LmTCxcuiMHASZMm4e/vT05ODjU1NVhbWz/Ur5g7dy6dOnVi/Pjx4toX/rtx40YqKyuZPXv2U/VPhAR1SEgIgwcPxtjY+Ln0h6ZOncqcOXPo1KmTKGfg7++PmZkZ8+fPx97enkmTJjXJWSn8jSNHjrB//36MjY3p2LEjDg4OmJiYYGRkpPR3H0G/6ezZs5w8eRJLS0tMTEywsbHB3Nwca2vrZmecaWzk5eVx+fJlgoKCKC4uZurUqXTv3l0p9ktubi5btmzBw8ODjh07YmpqSlFREUlJSRgaGmJhYdHkyUkhPgFPHtS/v9kgJSWFwMBA2rRpQ7du3bCysnqsd9AU98C4uDi+++47PDw86iWTHgXbtm0jOTmZ1q1b88YbbyjVvrp58yaGhoZUVFSgr69PYWEhQUFBuLm5YWtr+1B7ev/PL126RFBQEPHx8aSnp9O6dWtMTU2ZNm2amHR+EO5/f4J0xZEjR1i0aBGjRo1izpw5qKmpPXIh2z/F2ORyOVFRUaxfv55JkyY9ccG+MKbU1FQ+++wzdHV1mTFjBqampujq6j6S9vOzhhedYY8BiUSChoYGGhoa9cTgmvIClZGRwdWrVzl48CAuLi6YmZlRVlYm8pC+CDo8HgRjkJSUhK+vr8jNDPeCzQJVVmMdWIKRu7+KRTDMAl831K9gkclkmJub8+WXX7J7925yc3MpLS1l0aJFzaor8KgQHJQePXpQVVUFNC+VmzBnUqkUVVVVvLy8GDhwICUlJdy9e7fZxtXYEGxDSkoKkyZN4sCBA/Tt2xe45zQJrfsNrZP4awXW/UKbzyLkcjlwb57U1dWfiefZs2cPP//8s6j90q9fP0aOHEmXLl3o0qVLcw+vHgT7VlZWRnZ2NgsWLGD06NEYGBigq6uLrq6u0sx1dXU1oaGhYpVsz549/6bl+LhnraamJtbW1uL/K8szPw+QSqUNei/Gxsa899576OjocOvWLdLS0jhx4gQymQxdXV2GDh0KKIcWQ3PD1NSUiooKevXqxbBhw7hz5w4XL14kOzubjIwM9PT0GDRoEHl5eVy6dAlPT0+GDRvG22+/3dxDf+YgkUi4c+cOmZmZLFiwgKCgIJydnVFTU2Pjxo2i0PfjoGfPnrz00kvk5+eTnp5Oeno6cXFxSnNnCAgIYNCgQWhqauLv74+lpSU2NjZPRJH4IKirq4uaK9D0Puj9AYhFixZRUlLC999/L9Icu7u7ixonzQGhUn358uV07doVf39/IiIiaNGiBSYmJvVo9J4XJCUl0bp1a2praykrKxO7wcrLyxsUEGsM3L17l6NHj7J69WosLS3p3Lkzo0aNEv3zoqIifv75Z+bPn8/ChQu5fPkyu3btwsLCgv79+4vf8zC/oqCgQNSqEXwzwedNT0/H1dX1KT3h/0EqlWJtbf3c+0O+vr4sXLgQb29vDh8+zNq1azExMQHuzbWfnx/QNM8ulUqRy+X88MMPvPbaa+Tn5xMWFsaxY8cAWLlyZb34lrJBoVBw5coV/Pz8GDhwIKampiQnJ5OZmUliYiLl5eXMnTtX7G54lnH8+HHOnz+PiYkJFhYW9O3bl4EDB9b7jDLsl9u3b1NVVcXx48fZu3cvBgYGODk54eLiQps2bdDU1HzqSbt169YhlUpxd3fH0dHxkajyHgSBTlZTU1OkrJ05c2a9pNDj/J2neQ8UYhkdO3bE39+f6upq4MH3mfv1vE+cOEFycjJDhgxh0qRJVFVVKU2n5f1+07hx47C0tMTDw4MePXrg6urKmDFjxM8+zGeUSqVcvnwZV1dX3NzcxDh6VVUV4eHh/PHHH2KM8mGJNYlEwtdff42+vj4ZGRkkJibi7e1Njx49uHv3LmVlZRgaGj7Se/5rjO3+GFXXrl05duwY5eXlDf6+B/0duLc+HB0dyc3NZeXKlZiYmGBqaoq3t3c9X/l5wotk2GNAGTohWrVqxWeffUZ4eDg7duygrq6O6upqAgMDsba2xtbWVmmM1rOIoqIiQkJC0NTUxNXVFQsLCwwNDRtVTFAwqv9k5P7J4GZlZbFr1y6SkpIYNWoUgwcP5t133wXu0auYmJgoRXXQw6BQKMQ2duEZlUWX67vvviMhIYGqqiqsrKwwNzfHzMyMfv36AcrhcD4phGeYMmUKq1evJjIyktGjR5OUlMTFixdZsmQJ0PCgU0pKCpaWlqJT+KzN0V/3zF+fW1mf5366y507d7Jp0yYATp8+zfbt22nfvr1S0s0I87l8+XIUCgU5OTmsXLmSli1bYmxszGuvvdbsOjaC/T1//jyRkZHMnDmT2tpaVFRUyM7OJjExsV7A6QWaF1988QXTpk3DxMSEO3fuUFhY+Eh0Vv7+/vUuAomJicjlcpH+RFkSBU0NYR/Ex8ezf/9+UlNTKSwsxMLCglmzZuHt7U1ycjL6+vrk5+djb2/PkiVLqKioQKFQ1EvY/Ffn8FEh2PUrV67g4uJCbW0t+vr6aGhokJqaSkVFxROJZVdXVxMbG4uRkRHdunXDy8urSXWQHoTy8nKOHj3KihUr8PHxYfz48QwfPrzeZxrrPP43KqWmhvC+g4ODadOmDZs2beL69etcv36dS5cuNbselxA0k0qlIpVT9+7dm3wcTQldXV0cHR357rvvxOTXkSNHaNOmzWPTJjUUwnf/8ccfHDhwgOXLl3Pz5k0OHz7M6dOn2bhxI0ZGRsTExNC7d2969+5NTU0NvXr1oqioiG3btj2SbzJ48GC2bNmCu7u76MMLHdUxMTFi535z75PnAT4+Pty5c4e4uDhmzpwpFqolJCRw+/ZtMSn5tOdasDmxsbG0a9euXrI9Pz+fq1evKnUiDODixYvU1NSIdMovv/wyL7/8MnAvHpKQkIC5uXkzj/LJUFNTw1dffUVSUhKmpqZkZmZy7NgxVq9ezSeffNJgCrimgr29PbNmzSI/P5+8vDxSUlJISkri/Pnz3Lp1iylTpjzVe5NCoUBVVZXs7GyR3cbc3Bw7Ozvc3d2xtLR8LLstl8vR1tZm9erVnDhxgoiICHJzcxkxYsQTUTc/Tfy1yF6QUIEHF/wIxS9Lly7FzMyMHTt24OzsjLOzM0FBQXTq1KnBepRPE8LzZWdnM2DAAHR0dMjJyWH27Nloamry0ksvMXHixAbFQLKzs3nnnXfQ1tbG2tqafv364ebmJsqj3N9x9bD1k56ezi+//IKJiQlvvPEG48aNQy6XM3PmzCd+5n8bw7Rp0xrNXgu0n/PnzwcgMzOTqKgozpw5Q1FREfB8acMKkH0uqPm9QIOhDBcoNTU1XFxcGDJkCK+99hrdunXDwMCAY8eOsX79ejQ1NcXs9gs0HBKJhNraWqKjo4F7CagrV64QHR1NUlISHTt2bLTK0WXLlhEcHExpaSktWrQQOyL+bX29/vrrGBkZYWBgQFhYGNbW1hw+fJiNGzeyc+dOWrVqRfv27ZU6ISYIU96fBBT+rblwPzXmyZMnGTt2LMePH6dTp05s3rwZTU1NMRn2rOP+tWFkZARARUUFW7ZsITQ0lNdff10MdDR0DS1dupQhQ4YA/xdgqqqqemZEiyUSCTU1NchksmeiC0yA8C7379+Pvr4+Pj4+6Orq0qlTJ1RUVDh69CgDBgxQOnsgkUgoLi7mt99+Y+fOnYwePZpOnTohk8m4du0affv2bfbArDBnu3btol27dnTt2pW7d++iqqrKqVOnOHPmDAMGDBDX+ws0H27evMmaNWt44403SE9PZ8qUKcTHx2NqakqbNm0e+vuVlZUcO3aMjRs3EhwcTHJyMr169cLc3Fy0Yf/VdyxcelasWIGenh6vvfYa48aNIysri0uXLlFeXs6GDRs4cOAAf/zxBxUVFVhbWxMTE8PWrVv5/ffflUqr8FmAsNYqKytJSUlhx44duLi44Onpyd69e1FTU8Pb2/uR/Cbhs/v27WPXrl0cOXKEyMhIzp07x9WrV9HW1m7QXnmakMvlqKur4+vrKwb24+LikMlktGnTptHPMWW4x8H/nTUJCQl4eHhgbW2NgYEB5ubmODs7i0mK5hzrnTt3OHjwIPv27UNVVRW5XI6WltZzq6Woo6PD9evX2bNnD2VlZQQGBnLz5k18fX3/Rlv/NCCRSPjzzz/x9PSkb9++2NnZ4evrS1xcHPn5+XTu3JmTJ08SFRVFu3btxL2bkJCATCajZ8+eok/7MLRs2ZLdu3ezdetWysvLkUqlFBcX8/3336OtrV2vwv4FngwqKip07tyZAQMGiEHasrIyIiIiaN26NR4eHk1yHxbO9aSkJLGrW0dHB1VVVbS1tbGxsVG6e8Nf8fvvv1NdXc2AAQP+9jM9PT1sbW2VevwNQVBQEKdOnWLVqlX4+voydOhQhg4dilwuJzQ0FC8vL5FiTxkgkUho0aIFrVq1ok2bNnh4eODo6EiHDh1o3bo1bm5u6OjoPLW1JZFIcHNzQ1dXl8TERG7fvo2lpSVXrlxh7969nD9//m8ddQ+DsFcKCwuRy+XU1tZSWlpKVFQU33//Pebm5k2qI9lQ/NW/qa2tbZBdET6zZs0aVq5cSUREBBMmTEBPT49PPvmE7t27i92szQlhDX3++edMmTKFcePGMWTIEHx8fLh+/TolJSVcu3YNT0/Ph/openp6+Pr60r9/fyIjIzl06BAnTpxg9+7dhIeHo6WlJbJuPQzq6upYWloik8k4evQoERER3Lhxg7y8PFRVVdHS0mp0ikldXd1Gi0vL5XKCg4PZu3cvoaGh+Pj44ODgwODBg0V2hmfdrv4Tno1opRKguLhYrN5RUVHhpZdeQltbu7mHJcLe3h57e3tef/11qqurqaioAJ7PDO7TQk5ODmpqahgbG/POO+9QWVlJWloaKSkppKSkUFRU1GiXv9raWuzs7Lh+/TrHjx9n69atmJubY2VlRdeuXbGxsalHP5KZmYlMJhOz9YcOHWLq1Kl07dqVjh07MmXKFFF4V9kM1f1dFocPHyYuLg5XV1f69etHt27dxCREc41bqIQJCwujf//+KBQK+vTpw+zZs9HT0xPF6p/1vXR/JU1+fj4lJSW0bduWTz/9FAMDA6qqqsQE2cNQVFTEhQsXuHTpErm5ueK/S6VSqqur2bBhA7Nnz35aj9JoSEhI4NChQ6ioqDBw4ECRErWmpoby8nLU1dWVtsNWWItmZmbk5ORQWVkpjjUpKUkUPW8sQd7GgLAGb9y4Qfv27cnJycHU1FSkyBFE3Jsbwtw6OjoSFRXF7du30dfXB+5pHAoVmS8kV5sPgj0OCgoSqSv37dvHuHHj0NDQYMeOHQ+kCBWoQg4ePMjZs2dxcXGhbdu2BAUF8dlnn7Fo0SJ0dXWb6nGUEoLdiImJEbXT5HI5c+bMwc/Pj+zsbLGz4MaNGyxdupRPPvmE5ORkRo0aJVZqv6CZfHTY29uTk5PDpUuXuH79OlOmTKFVq1ZMnz4deDQ/T7Bne/bsYf78+Xz55Zd4eHgQFxdHeHg43t7eQPP5OML6OHnyJAqFgtzcXK5cuUJqaiqrV6/m008/FSnEHgfCuVNVVUVGRgbXrl1DTU2Nrl27Nrteo0BLt2rVKlRUVJg2bRoDBw6kTZs2j02F2dgoLS3Fw8ODgoICLl++THR0NFKpFFdXVzVsiwgAACAASURBVKU5s58UtbW1FBYW0rp1awBGjx5N165diYuLo7y8XNQfgafb5Sqsw7y8PHR0dOr9LD8/X7SpApXqkiVLMDU1pbi4GDU1NV577TWABgXcFAoFJiYmbNmyhZ07dxITE8Pvv/9ObW0t48ePF99tY++P8vJyamtrqaqqQkdHp9GozJ4V3D+fGhoa+Pj4iGuqKc5J4W+cPHmSy5cvc+vWLdzd3Wnfvj3GxsZ06NCh2QvSHoawsDCys7Pp2bMn5ubmeHl54e3tLd57ngecO3eOPn36oK+vT2VlpXgfnTp1KosXLxZp+tavX9/sycv7tSVPnjzJL7/8gouLCytWrMDAwKCezuLTGqfgR0RERGBtbc2KFSsoLi4mKSmJX375RaSYfRQ/R/icj48Pbdu2ZcSIEeTl5VFZWYmtra2YGFKW+Yd7/npsbCx9+/YV44iPUpycmJiIubk5lZWVVFdXY25uTlVVFXV1dTg7Oz+V8T8qpFIptbW1lJSUiGc2QNu2bSktLeWLL75g9uzZpKWlPVTjU6FQiMw0WlpafPzxxwwYMIDw8HBOnz5NQUEB0LB7TIsWLRg5ciQjR44E7unMhYSE8Oeff/Ltt98yc+ZM/P39n/DpGx/CnggNDSUgIAA1NTXKysoAiI6OJj8//5ETyc8SXiTDGoCamhqWLFlCYmIijo6OqKiocP78eWbPnv03Z1UZILSNwwtqmkfByZMn8fb2Jjg4mPT0dDp27IiFhQUODg6ixg00zqGnoqLCmDFjiIiIICsrC2tra5ycnLhy5QqBgYE4OzuzYsUK8fNBQUH1qk9sbGzo0KED69evf6JxNAWENSgENNzc3IiIiGDp0qWkpKSwe/fuZhOkhv+7GBQVFTF48GCOHj0qBiEyMjKaTCPgaUMikRAWFsbKlSvJy8vD3NwcPT09zMzM8Pf3x9TUtMFBy6qqKoqLizlx4gQ6Ojp89dVXaGtr4+TkJAbvQPkTiIsWLcLMzIzq6mpmzZrFwoULSUpKIiUlhaNHj7JhwwZeeuml5h7mv0Iul9OrVy927drF0KFDad++Pbq6uhQVFTFhwgRAOc+A6Oho4uPjWbZsGd7e3hgbG2NsbIy1tbVSXcJ79uzJ77//zqxZszAxMaG8vBwVFRUxIPUiwN98ENa1pqYmWVlZzJ07F0NDQ6ZNm8aePXtEKrl/s2nCGX7mzBmmT58uFpP07duXjz/+mIsXL4pJgv8yysrKcHBwYO3atYwePRpjY2OkUikFBQXo6enRv39/JBIJbdq0IS0tjcmTJ7N582bx9xUKxYt98pjo168f9vb2XLhwAWNjY1xdXUXf5FHsukQioaSkBIVCgZOTEyUlJcyYMQOAGTNmPDU9roZCWB/Lly9HQ0ODmTNn0r9/fywsLOjTp0+jJeuWL19OdHQ0Li4uyGQy4uLiePPNN5tdGFyhULB69WpRs+fnn39GRUWFHj16sGzZsmYblzDfaWlpvPrqq6ioqJCRkUFWVhbx8fGijVV2P68hCA4OJjAwkPnz52NkZMTt27fFIhiB+aCpUFRUxKVLlzh48CD79+8XKa5sbGxEloqRI0cyYsQIkpOTuXbtGhcuXEBVVZXdu3dz6NAhli5d+tBCLuEM1NbWxt/fn9LSUmQyGVKpFA0NDTFR25iyABcuXOCHH34gNzeXzp07i7IOHTp0UMoOi8bGX/eKiopKs7FoLF68mIKCAqKiojh79iyRkZFUVFTw008/KZUf/leUlpYilUqJiIggLS2NiIgIQkND2b17N3CvQHDNmjViAduzioKCAvHsE/ZydXU1ampqIqPQhx9+CDR/MkYougwICKC0tJThw4eLcYCDBw8il8sZN27cUx2DsK/S0tJESl8DAwO6d+/O2bNnH3t+5HI58+bN48CBAyQnJ/POO+9gYmJCaWmpGANWlmT+kiVLkEgkBAUF4eTkhL6+PrGxsTg4ODz0PBDWkJWVFZaWlkyfPl2ULNizZ4+ona0M531dXZ0YR506dSrjx4+nS5cuFBYWkpGRgaGhIcXFxQ2KLUokEtEHTUlJ4eOPP0ZdXV2kIRaKXh/nHtOpUyexC1iZG1WEZzx16hQTJkwgLy+PtLQ0AC5cuEB2djYDBw5UunE3Fl4kwx4AwTCEhYWRn5/PkSNHKC8vJykpibVr13LgwAEmT57c3MN8gUZC3759MTc359ixY8TFxREdHU2LFi0wMzOjVatW4oWoMQ49QX/m5MmTdOnShYkTJ1JZWclLL73EunXrxEp3wfBkZ2ezd+9eUlJSePnll0lKSnqmNGtu3ryJs7OzWLU4bNgwampqyMzMFAMxzY3//e9/KBQKevXqxU8//cTixYsJCwsTqziUxdl5XOTm5rJmzRomTZrE8OHDycnJ4erVq+zbt08MIDe027VNmzaMHDmSsrIyWrVqRVlZGenp6Rw7doyioiLGjx8PKHfnTGJiIjKZTEw6h4eHM2/ePFq3bk2fPn148803RedP2VBQUICuri7q6upoa2uzbds2oqKiuHr1Kvn5+bz//vtiRZgyrVthLD169KBt27bEx8dz/vx56urqqKur4/3331cqwWt9fX1+/fVXTp8+zc2bN6moqGDChAlKWQTzX8WQIUNIT08nJSVF1NDcu3cvc+bMAf59/d+fTEtISBAD5BoaGhQVFYnUM80dZGhuaGtrM3bsWH755Reqq6spKioiKyuLLl26EBAQwMGDB0UdAS0trXr6I6Bc9kfZIfh7eXl5XLlyhZiYGCwtLXF1dcXMzOyJBOgzMjJwcnIiNzcXPT09sbq5oKBAaXQv1q9fz+bNm/n111+ZPn067733Xr2fP84lXJivtLQ0oqOjCQwMJC8vj4yMDNavX88vv/zSqHoOjwOpVEqXLl3o0qUL7777LmVlZYSFhVFcXAw0X2dldXU1GhoaLF68mL1796Kjo4ODgwMODg7Y2dmJFdnPQ3AkKCiIrl27YmRkxK1bt/juu+84duwYWlpa9O/fn48//rjJaCENDQ05fPgw169f59y5c4SEhJCQkEBtbS0xMTEMGzaMPn36cOPGDZycnOjevTuTJ08mNTWV5ORkysrKHpnRQCqV/iPdWmPZb+Eu8PPPP+Pr60vPnj0JDw/n6tWr/Pnnn4wdOxZbW9vn/ry9f680h/68ML91dXUUFhYSExODm5sbgwYNQi6Xk5KSojS0e/+Gs2fPoq2tjUQiwdbWFltbWzGGEh8fz8WLF5/5RBjA8OHDWbZsGd9//73Y8SbYoNTUVFauXCnel5rbBgt7NiwsjC+//JL169eLCamYmBiRZu5pBtMlEglyuZz+/fvz22+/oaOjg7W1NcXFxZw7d45hw4bVG2tDUVtby9ChQ+nTpw87d+5k0aJFDB48WKkowIVO4ejoaNavX09kZCQdOnRATU2NtWvX8s033zS4OEJDQ4PBgweTlZVFQUEBXl5e9OrVizfeeKMpHqVBEPyh8ePHo6amxtmzZ9mxYwcdOnTg66+/Ji4uTtRgfBDS09NJTU2lX79+3LhxAwMDA5EhSS6XA423t5S5UUWYz9u3b2NoaMjWrVuZOnUqAPHx8c91Vxi8SIY9EAkJCbRp04aKigp69OgB3DMSbm5ujBgxguPHjzN58uTnNlP6X4MgtvrGG29w9+5dsrKyiIuLIzExkeTk5L8JeT8JBMNTXFxM27ZtgXtBOVtbW1q0aPG3w3revHn4+flx4cIFQkJCSExMJCIigoiICJydnZk+fbpS0rkJl/irV6+irq5OXl6e2FauqqraoMOqqaCuro5UKsXNzY2BAweSn5/PypUrxXXxrF/Qzpw5g4WFBcOHD0cul9O2bVvatm3LkCFDmDNnDqGhoQwaNKjB36empoafnx+5ubm0bduWO3fuUFRUhLm5uXjgK3NHQEhISL1kV2lpKWZmZmzbtk38N2VN5q1fv57t27djZ2dHjx49GDhwoBhMexZgZWWFjo4O7u7uaGlpiZXNza1bA/8XLMjLy+PkyZOUlJQwaNCg50Y38HmA8I6Ki4vJzMysFzS/ffs2gwYNEi/i/+abCd8xefJkVq9eTV1dHdbW1kRGRgKIe+lZt/uPi+DgYCwsLLC2tsbDw4OWLVty+vRp9PT06N27Nw4ODjg5OREeHs7OnTupq6ujurqaQ4cOYWNjg42NTbN33DxrEO4SX375JSUlJTg6OhITE0NISAjFxcVMmTLlse2Qi4sLjo6O1NXV4e7uzuzZs1FRURH3SXMlXIR9KCSgv/jiC6Kjo9m2bRvnz59n+vTpT6RRkZGRgYqKCgkJCaIeqomJCSYmJqiqqrJq1ap642gO3Lp1i4CAAORyOc7OznTp0qWeFk5zvJeioiJ++uknYmJikMlklJaWAvcKREpLS3n//ffZv39/k4/raSEuLk7slty3bx/FxcXs2rULQ0NDPvnkE65du9akLBEymQwLCwssLCyYMGECVVVVJCcnc+rUKY4dO0ZQUJAY/G3dujUWFhYMGzaMwYMHU1tb22TjbCiENWxra0vPnj0xMzNj9OjRjB49GrlcLlbMP48Q7HpISAgymYx27dphYmLSLLqFQgfP9u3bSUhIICoqihkzZjBq1CiSk5OVpjj1QXB1dRWTK/efW5qams/UPehh6N27N7GxsaxYsQJPT09cXFxIT0/n7NmzWFhYNFjHqCkglUqRy+WYmppSWlpKXFwcn376KQDJycli48DTWu9Cx5xUKmXQoEEUFxezb98+NDQ0uHv3LgMHDqRDhw6PNAbBJzhy5Ajh4eFUVVWJ7GAfffQRpaWlvPrqq0/leR4Fwjijo6Pp3LkzKioqGBoaoq6uTmpqKsXFxQ8teCorK+PixYt0794dDQ0NHB0d+frrr4mPj8fIyAg9PT2RNr65491jxoyhY8eODBkyBA8PD0aNGsWoUaOA/1sHGRkZYnHkgxAfHy8WRQlFxrm5uZiYmCh1/OppYdy4cezdu5fMzEwcHR05fPgw2dnZIkNSc7/7p4UXybAHYOnSpdy4cQNjY2PKysowNjbG29ub3NxcoqKixEypsgZMX6DhEJzVsrIycnNzRXqMgQMHMnz4cJGvubEgHMajR49m3bp1aGlpYW5uTmpqKtHR0bzzzjvA/xkeqVSKubk55ubmjBw5krt375KWlkZYWBhnz55VqoqN+yEcJunp6Rw9epTTp0/j7u5Or1698PLyom3bts2uFyaVSomNjWXXrl2cPHmS1atX10t8Pi/J7ujoaEaMGAHcs1m1tbXcvXsXLS0tMegmVAc+6HmFn1+9epWzZ89y9OhR3N3d+fzzz6mpqRGdEWVHeno6SUlJfPfddzg7O3Po0CFRC0p4BmUNhH/22We88847YmBk165d1NXV4eLigoeHB9OmTVMavREBwrpJTExk//79ZGVlUVNTQ4cOHXjrrbeU4lIB/2ebFy5ciLW1Nb/99htDhgyhurqaEydO0Lt3b6XSC/0vQgjo7N+/n5KSElxdXcVzpLy8nGHDhj3UZkskEhQKBW5ubrz99tvs2LGDM2fO0LVrV+bOnSv+nefB9j8qqqurOXjwIFVVVWhqamJjY0O3bt149dVX69mViRMnip1giYmJnD17ln379nH16lWl5cZXZgh0WYWFhWzYsAGZTEZeXh75+fkidTc8XuImICCAQYMGoampib+/P5aWlmLSEpr/knvkyBEiIiKIj4+nffv2yGQytm3bhpmZGX5+fo+9Fzdt2kRWVhZt27YlOTmZLVu20LdvX2pra8VuIGg+bc3S0lJmz56Nh4cH27dvx9jYmMrKSoyNjdm4cWOznTWGhob4+fmxfPlybt++jb+/P1paWri4uKCurk6rVq2A50MPsLS0VExOKBQK9u/fz5w5c7C2thb3oKGhYbOOUUNDAxcXF1xcXBg0aBCffvop2traFBQUkJ2dzeXLl+nVqxcGBgbNRrv3MFRXV+Pi4sLnn3/OhAkTaNu2LSYmJujp6YnrXFl97ieBYLfCwsIICQnByckJExMT2rVrh7W1NXZ2do0aX3gQhL26f/9+Nm3axMyZM8Ukwdq1a0UpA2XGH3/8UY+pp66uDolEIs7z89JdqKKiwmuvvca+ffs4evQov/32G507d6ZTp06MHTsWUK5nlUqlDB06lP/973/cvXuXM2fOkJCQgIaGBu3btwee3v4ODAwkNTVV7FoeN24cQ4cOFWO4j6P/K5wHOTk59OnTh9LSUrKysnBzc6NPnz5igkBZ3oGmpib6+vosW7ZMHFtwcDAODg7Ag8/qkydPcurUKZEuPi0tjZMnT6KhocErr7yiVPrJEydOJCgoiJkzZ1JeXo69vT39+vWjT58+YgdlQxPFAwYMwNPTk7S0NGJjY4mJieGDDz5AoVCgr6/Phx9+qFRF+08D96/frl27EhERQWlpKaNGjcLJyYkZM2agp6enNOv8aUCieJHJeSCysrIICwsjOjqay5cvI5FIqKysxNnZma+//vpF5etzAoG2cPny5YSFhWFoaIiJiQn6+vro6ekxZMiQRquYunPnDjo6OqLjduLECQ4ePIhCoUBHR4eXXnpJbOd+nlBbW8vly5c5d+4cFy9e5OLFixw6dEh0kpoTo0aNYuHChXz66acsX74cJycnvvzySyZMmPDc8Nh37tyZd955h8GDB2NmZlbvZ2+99RYjRoxgwIABDw06CQ7VvHnzcHJyIiYmhvbt2zN16lQ2bdpEmzZtmlxj4XFQUlLC+fPniYqK4tq1a+Tn52NqaoqbmxsmJiYMHDhQKbst4Z+D9Onp6fz5558EBASwZcuWJ6qmfxoQ1s17772Hubk5Xbp0QUdHRwwAzpo1q9nnW3D2MjMz+eyzz9i6dSsjR45k//793Llzh/HjxxMQEKDUegr/BQjr/80338TPz4/u3btTVVWFhoYG69ato127dg+kEa6treXEiRNcunSJ4uJiUXxdR0eHmpoa1NTUnmvH/2GoqakhNTWV/Px8srKySEtLIz8/n7q6OvT09HB0dBQpj/8JAje+vr7+fzah+KhISkpi8+bN2NnZER0dzZIlSxqNrqq8vJz33nuP+Ph4fHx8GD9+PNbW1o3y3Y2BmpoaNm/ejJeXF4aGhqSmpiKXyzEzM6N169ZPRA9ZXl7O1atXiYqKIj09nevXr6Ovr8/169extrZm/vz5GBsbN/l+F/bF0aNHCQ8PZ8yYMaxatYovvviCzz77DBsbG1EPpjlx+fJlbGxs0NXVJTQ0lJCQEHR1dcU70fOyv3fu3Mny5ctp27Yt5ubmbNy4EYDs7Gw++OADUY+oqSGEaHJzc7l16xaqqqps27aN5cuXi58pLS2lqKhIqSim74fg++3Zs4ft27ejpqaGlZUVGhoa6Onp0aVLF3r37t3cw3wqEOxKbm4uixcvxt7eHn19fTIyMggKCsLLywsXFxcxudEUuHHjBvPmzeOXX35hxIgRBAQEAODr68vOnTuVutirrq6OdevWoaqqytixY5WG4rcpIJfLKS8vVzqadmGNl5WVoa2tTXBwMIcPH0ZFRQVNTU38/PwwNzd/qmfs7t27SU5OpqKigtraWrS1tbGyssLOzg4jIyNsbGwe6W8LY83JyeHkyZP4+fk9lXE3NrZv387mzZvp0qULdXV1VFVV8cYbb+Di4vLAs/qTTz7B09OT4cOHk5SUxKpVq0hPT0cqlWJqaspXX32llHstNzeXU6dOceLECS5cuECHDh04dOhQg/2SrKws0tPTMTExwd7enoqKCvHeExUVxaRJk2jVqtV/4j64bNkyRo4cKSZP09LSMDAwUMr33thQzvIhJYDggAo0BYIGTmxsLOHh4Vy7do0WLVr8JzbIfwFCJd25c+f4/fffRe7ppKQkYmNjxeB+Y7zvwMBA+vbtS1ZWlqgTNmDAAO7cuaP0XN2PgsjISGJiYhg9ejRhYWH06NEDd3d3sfKkpKREKapNcnNz0dDQoGPHjmhoaODq6gpAREQEs2bNaubRNQ7KysqYNGkSsbGxHDt2DDU1Nezs7OjWrRseHh4UFhY2uA1aqCxKSEhg2bJlBAcHi+80LCyMSZMmAcrdVXHr1i3q6uro16+fSDuVm5tLREQEly5dIiIiolFpURsTgsZAaWkpISEhxMfH4+HhIXJ6K3uXqNCNJ6Bdu3a8/fbb5OfnK00w5+LFi3h4eHDhwgUxaJyZmYmJiQkaGhpKvbb/C5BKpSgUCioqKsQzU0hQBgUF0atXL+Cfz+uysjJ++eUX9u3bx9ChQ1FXV+fgwYPs27ePjz76SBRc/i/7daqqqtjb24tVlnBPoyI9PV3UWoR/t/HKzI2vrKipqcHAwICcnBxycnIYM2YMAwcOxMHBAUdHR6ysrB7L/5TL5WhpabFx40ZSU1M5e/Yshw8fxtPTky5dujTrHaampgZVVVVSU1Oprq4WL+FCIcf9XeaPO0YtLS08PT3x9PQE7hWjnT9/nri4OJKTk5tdWzMqKgpvb2+uXLmCg4MDLVu2pFu3bqJeRXO+n+rqakJDQ0U66Z49e4p6xgKel/09YcIE0RcWqsrLysrYsWMHjo6OwNP3ae9/18LfEv7/0qVL7Nq1C2NjY1JTU/nxxx/x8fHB1tYWHR0dpQuQ3w/hGYKCgpg7dy7dunXj8uXLJCcnEx0dTU1NDaDcd4bHhdBxevr0aaytrUUt07q6OkxMTEhKSmL//v3o6OgwePDgJhnT3bt36dSpExs2/D/2zjuwxrN9/J84suQkksiQyBQkEUJkCIIQm9qzOpVX6zU6tEVRo0bVLFpbzVA1YxOCoBlEEtk52QkZkogs52T8/vB7ni9vlxHOSZrPX20S51zP/dzjuq+5mTZt2gBP+nDp6ekhlUpV2q4lkUj44IMP+P777xk0aBBeXl507NiR1q1b4+DgIPZBa9OmjZi9WpuprKwU/1sikaj0Ol+xYgUODg6MHTuWDh06iBnOAq9rTlVXVzN69GiKi4vJzc1FJpORlJREcnIyd+/epbKykkWLFr1QtZT09HRyc3M5dOiQ2ENKICoqipycHHr06FHTj/LCFBYWEhERgbW1NcbGxowdO5a2bdty+fJlTExM6Nevn+jM+Lu9NTo6mq+++gqAY8eOiYGq+vr6TJo0iYSEBDw8PJS+Nwh9FisrK3n06BGGhoa8++67YhnOe/fuiX/3T1y9epVdu3YRFRVFZWUlffr0YcmSJdjY2GBjY4Onp+cr65+1AaElVEhICF9//TXwZN9p3rw5R44cwcfHp07Zpv+MemfYXyAYHGNjYwkMDCQlJYW3336bNm3aiMoD1O0F8m8hKyuLO3fuoKurS6tWrZBKpUilUrp37y4a1QRq4n1bWFjQtGlTDh48SEpKCufOncPIyIgWLVpgYmKCq6trrSgz909YW1tjbW1NYmIiP//8Mzt37kRfX5927drh5uaGu7u70g9WeHJ4tm/fnjt37oiX/oiICAwMDNDT01MJGV8VqVTKtGnTKCkpIScnB5lMRlRUFMeOHRMzXKVS6XNfRoV+Jv7+/ty/f5+2bdsCkJOTUytqC2/bto2mTZvy/vvvI5PJMDY2xtzcnOHDhzN8+HBli/e3CJfrDRs20LBhQw4fPixm+p0+fRp7e3uVzWZ88OABlpaW/Pbbb/Tp0wc9PT309PRUyhEG0L17d7Zt28bSpUvFQBhfX188PDyA+tLIykbYp4YNG8b8+fOZPHmymKVaUVEhGi//bN++cOECiYmJnDp1CqlUSllZGfn5+ezdu5eZM2dy5MgRlY6MfhMI45uZmcnevXspLy9n9uzZ2NnZ4ePjIxovVXmPr220adMGKysrSkpKyMrKQiaTkZqair+/P7t37+aTTz75gz76TwgZGRcvXqS6upqsrCzCw8ORyWRs2LCBWbNmKTXiOTMzk7CwMPz8/P5Q1iYoKIi0tDRGjRr10p8vzOOUlBQiIyMJCQlh+PDh9O7d+28zR98Ewtqxt7fH1taWvLw88vPzyc/P5+rVq6Ieogz9Uxi34OBggoKCmDp1qlg9Iz09ndjYWKWP3+vAzs7uGd1JoVDg6en5RvoGC+85JCSEqKgo1NXVMTY2xtLSEmNjYzp27Ii1tTVJSUk0adJEdOZqamqir68vZl+oIsJc19DQEI357du3p3379owePVo0+NfF80QIHMnNzaWwsJDS0lIaNmwo9jfy8fGhsrKSsLCwN+YME4y9a9asQVdXl2XLlpGamirutcoqGfu8SKVSFi9ezKRJkzh79iwhISEcOnSIzMxM3NzcaNmyJbq6unXCGSaRSFS+FK2wL7q4uHD48GHu37/Pp59++sYcd6GhoWIP+srKSrp160avXr0oLi4mOTmZ7OzsF24bUFZWxuXLl7ly5QodO3Zk9+7dNG3aFE9PT/bv368yfelCQ0Px9fXFxsaGJk2aiNlwU6ZMoWHDhmKpx787u8rKymjXrh3+/v60a9cOPz8/Vq9eLb6/vLw8sVSgsm1hQp9FX19ffv31VwoLCzl48CAGBgaoqalhZmb23PvX8ePH8fHxYfv27chkMtasWUN4eDjt2rUDqBN22H+iuLgYPz8/duzYgYaGBgsXLsTb25uuXbtSXV3N999/z+DBg5Ut5mtHsmDBggXKFkIVERb8zJkzadasGYcPH2bMmDEYGBiwb98+LCwslF7SqZ6a4erVqxw5coR79+5x//59rl+/jra2NuXl5Ugkkhp/zzY2NqipqWFpaYmTkxONGjWioKCAhIQEoqKi8PHx+dONvLY5ZQSnooGBAQMGDMDFxQVtbW2Sk5PZv3+/WDNd2c9lZGTE9evXWblyJXZ2dkgkEk6ePEmLFi3w9PSsM9GKwlwWHK+urq506dKFjh070rdvX0xNTZ/7WTU1NdHU1GTbtm1IpVIUCgWbNm3C2tpaLLWoynN18+bNjBgxAlNTU2bMmIG5ublojLt06RJqamro6+srV8i/QHg/69atY926ddy5c4f+2O/bRQAAIABJREFU/ftjamrKokWLaNGixUtnEbxuBKfryZMnefToEYGBgezYsYO2bdvSrVs3pc8b4bu1tbV58OABiYmJXL58md27d+Pu7s7IkSORSqVKaXxez/8hjL2lpSWFhYX4+fmxdetWHj16xJQpU2jWrNlfzqXt27fj7e2Ns7Mz1dXVqKuro6enh6enJ0lJSUgkklrRRP51oqamJvYycnV1Zffu3Xz44Yekp6cTEBCAvb29ShtnaiuamppkZmbi7OyMg4MDXbp0wd3dHXNzczp06PDC5VmFs2LixImEhobSo0cPMZPEzc2NgQMH0rhxY6Xtu7GxscTHx3Px4kX09PSIjIwkOjoauVzOzz//jJOTEw4ODi8tn3AGLliwgIqKCi5evIi3tzcWFhYcO3YMQ0NDpfbWLC4uxsjICCsrK4yMjDh27BibNm2iefPmTJw4UTRmvWmEcTtw4AAtWrTA3d2dx48fo66ujr+/PwEBAbVCz3tVtLW1sbGxESPrX+ezqqmpUVpayrRp0ygtLaWgoIC4uDiioqKIiIigRYsW5OfnY2lpyYgRI2jfvj2Wlpbo6emRm5tL586dVbptQ0ZGBn5+fhw7dozi4mLy8vLE1gDq6urKFu+106JFC/z9/YmPj6dhw4ZcvnyZo0ePMnHiRI4dO0a3bt3emN6xb98+Ro0aRc+ePcXArsmTJ9OxY0dA9Z2SQnaIvr4+9vb2tG3bliFDhvD222/Tvn17evfujbm5ubLFfGmEfTU0NBQTExOV7QH4vzg6OtKpUyfOnz/P2rVrMTQ0xNra+rXrihEREdja2hIQEMDevXtJSEggNTWVyspKzMzMcHZ2fqG9+969e6xfv55hw4bx+++/06VLF+7du0d8fDyXL1/m7t27fPLJJypR2cjc3FwM4s7MzOTu3bsEBwcTFhZGZGQk+vr6f8hs+1/U1dXR1tZmzZo1nDlzBh8fH8aNG0eDBg2Iiori+vXrvPvuu0q3KQjfn5SUxKZNm9i4cSNnzpxh8uTJJCQk8O2339KvX7/nXi/bt2/n008/RVtbG0NDQw4cOEDHjh1Fh1pd1m0ENDQ06NKlCy1atEBbWxs1NTV27tzJqlWrCAgIwNvbG29v7zo/HrVjh33DPN03pLq6msmTJ3Pu3Dns7OwoKSlhz549jBw5Utli1lNDDBw4EEdHR1JTU4mPjycxMZHjx4+jo6ODpqYmo0ePrrG+Vk8fJo0bNyYnJwcvLy+GDBlCZmYmmZmZf9qvRPh/ZR9GL4O2tjbFxcW0a9dOjLjIzs4WnQ3Kfh4NDQ1mzJiBiYkJqampbN26leHDh4ulMVX9YvAyqKmpoaWlhZaW1jPRc/+ktMpkMkxNTZFKpXTp0oXHjx9z6tQpIiIi8PLyEksOKvud/h2FhYWUlJSI5dDKyspwd3cXf79x40ZWrFihLPGei3v37tG4cWPkcjn3798Xn6WoqEgsWalK7+D27ds0btyY5s2b06VLFxQKBdeuXUNHR4cRI0aIUXbKlDkiIoLQ0FAGDhyIqakpQ4cOZejQoWRlZVFUVESLFi1EJVuVxvbfxqJFi5g9ezYPHz7EyMiIqVOnMnXqVORyOWVlZWI5h7/at9PS0sSSacJ7FMqx5eXl8fjxY6Bulmx6HoTnvn79Oq1atcLDw4N27dqhpaVFRUUFhw8fZtiwYcoWs04hjPnNmzf57bffWLVqFfn5+WzZsgVnZ2feeuutV/r8TZs2sXPnTnbt2sXEiRP57LPPnvm9Mua5TCZjy5YtrFixgps3b/LWW2+RlpZGTk4OJ06cQE9Pj27dur2SfA0aNKCkpISUlBTWrl3L9evXxcoe27dvf+bcf5MI7/u3334jMjKSVatWYWJiwvbt23nw4AG6urpKjUoWxrt169bcunWLwsJCUV+/fv06Xbt2BeozpGuKp7PCWrVqxapVq6isrCQ1NZXIyEhu3rzJ8uXLuXv3LlVVVfTv359FixZhaWlJRUUFRUVFGBoaKvsx/hZ1dXXGjRtHTk4OGRkZpKamcvr0aby8vN5ovyxlYWxszMSJEzl06BDr16/H1taWGTNmYGpqSlJSkqiTvG7u3bvHqVOnGD58OFZWVkyZMgV4UuJeMKqrOk8HowlBtwJ1ob+NsP/6+vqyfft2pk2bRuvWrcX9VpXvH4aGhqxcuZKTJ0/y888/o62t/drLCQoZlV27dkVPT4+4uDhu375NcHAwCoWCmTNn/iHz/O8IDAzEwMAAa2trOnXqxOTJk7l37x7p6emUlZXx5ZdfqkRP7urqau7fv4+7u7uoy+Tn5xMXF0dMTAzh4eHP3eKlU6dO+Pn5ib2XATHQUHCSKztjVHiGa9eu0b17d1JTU8VM7pKSEsrKylBXV3+uu1tKSgoREREcP34cZ2dnmjVrRnFxMR06dADqpt3vzxCyTnv16kW/fv3EnxcWFhIXFyeOryrvOTVBvTPsTxBeekREBB06dODq1ati35CkpCTMzMzq+4bUMZo3b46Ojg49evRALpeTkJBAXFwcERERNRr9IWzmhw4d4tq1a2KN47Zt2zJnzhyx3Nn/1o3/+uuvmTx5MnZ2dmK5knXr1tGxY0c8PT1rTL6aQpBbJpNx9epVQkJCUCgUWFtb4+npSdu2bdHU1FS2mMCTd9KoUSPGjx9PYWEhpqam5ObmihHDdfEQECLrXmT/UigUbNmyBR0dHUxNTbG3t6dNmzZidOHT46TKY/b777+LCtOVK1eQSqViRG1BQQENGjRQ2TKD8OTdmZiY4O7uzrRp08SoL19fX4yMjNDR0VGps+nBgwesX7+ecePGYWdnh4aGBn369KFPnz6UlZU9k3mrzHmTl5fHjh07WLt2LVKpFE9PTwYMGEDnzp1rdZRpXUKhUODo6IhEIsHLywsDAwM6d+5M37596dKlyz/WNRcuQKdPn6Z169a0bNkSfX190fCcmZkpGqVUZf28aYQ1mJCQQJcuXbhz5w4uLi4A3Lx5U4xeV/XSPbUJwcjl7+8vlmLdvn07SUlJxMfHY2VlJQYSvchnqqmpkZ+fT+PGjVm2bBlhYWHs2bOH4OBgJk6cqFSDjhDNnZeXR5s2bUSDVnZ2NkVFRTRv3rxG5ldUVBROTk7ExMSgo6ODVCrlwYMHaGhoiPq2sigqKvqD/t6kSRMlSfNHvLy8OHjwINOnT8fU1JSSkhIaNmwoOinr13/NIKzVR48e0bhxY7GfcvPmzWnevDlXr179y3JODRs2VHlHWHV1NaampqJhtqysjIyMDCIiIrC3twfqZvDJ0/ei3NxctLW1+eabb565+1ZUVLB58+Y3ltVnZmaGt7c3GzduZObMmfz+++8cP36cgoICOnfuXCsDbusqX375Jbt27eLAgQNMmDBBdOio4juaO3cu8KR37/Xr12nSpAklJSV/sGXVNMJYFBcXk56ejoeHB3369EGhUJCSksLdu3exsLB4oc80MjJi9+7dBAUFiT3kzczMMDMzq3H5X4WoqCiuXLnC22+/zZYtW3Bzc8POzg43N7c/ONefZ7483esXnlQqGDNmzD8GGL4phO/X09PDwMCAs2fPMmjQIOCJ7iw47Z4nSMfY2Jh58+Zx8+ZN9u/fT2VlJXK5HD8/P2xtbbGzs/tXVH+TSCRUVVXh6uqKlZUVPXv2pG/fvrRu3VocT1Btm15NUF8m8U/Izc2lUaNGmJubExwczO7duxk4cCDW1tasXr0aFxcX3Nzc6qTy9m9DSP0MDg5m3759dOvWDXV1dUxMTHB0dMTb27tG+4cIG8rcuXP58MMPGTt2LH379iUoKIj09HTatWv3zAVTTU0NuVzOjh07mDx5MvB/B4JCoaBly5bo6OionHIkrI3169cjkUgoLCxET0+PoqIi9u/fj4aGBm5ubioht/D9DRs2RCqVcvbsWZYtW8aoUaNUQr7XwcuUeSsvL0cul9OwYUOys7OJiIjg1q1bBAcHk5WVhUKhUDll8c8QZA4ODiYgIIDGjRtjb29Pw4YNOXfuHGVlZfTu3ZvKykqV3N/V1NRo0KABRkZGhISEEBcXx5YtW2jUqBHvvvsu5ubmKnU2nT9/nocPHzJ58uRnIhtLS0v57bffyM3NVYmydLa2tkyYMIFPPvmEli1bkpKSwt69e1m/fj3btm3D1dW13immZCQSCU5OTigUCmbMmIGTkxOpqans37+fVatWERgY+LdZ++rq6piamhIcHMyhQ4c4fvw4ISEhlJaWkpycTHx8POPHj6+z+/7z8HTE9aFDhzh27BgDBw7EwMCAXbt20bdvX5XpH1BXEPbqrVu30q1bN65du4ZcLhcdWFpaWjg6Or5wqRI1NTUOHz7M/v37WblyJcnJyVRVVXH8+HGaNm1K+/btlVb+RKFQsH37dnbv3k1FRYVYjk5fX58mTZq88vlVVFSEpqYm2traZGVlcejQIbp06ULr1q358ccfMTY2xtvbWynnvDDeJ06c4ODBgxQWFvL48WMkEgl6enoqs660tLQYOnQoenp6SKVSmjRpwowZM1S2hHRtRXjfBw4c4Pr166SlpVFYWEhhYSFyuZzDhw/z2Wef/Wk5J1XVU5+mqqqKmzdvcv78eW7dusWDBw9o1qwZ7dq1+0MAaF1C0COWLFnCvn37iIyM5Pr164SHhxMXF4eZmRl6enovXP72ZfDz8yMjIwM1NTUsLCwIDAzk8OHDxMbG4uHhwRdffEGDBg1UWvcRzqorV65gZGRU53v6SKVSvLy8iIqKYvHixUilUpycnFTu/ZSXl5Oamkrjxo1xcHDg/fffx9XVlXHjxolBPK9LZuFzQ0JC2Lx5MzExMURHR1NYWIiRkREuLi4vHHhtY2ODg4MDu3fvJjU1ldWrV3P69Gnu3buHhoaGStwDhQCD1q1bk5eXx+nTp7l9+zb+/v7cunWLhIQEGjVqhImJyUt/h7q6OgYGBqJTSBXmXVVVFZaWlqxbtw5/f38aNWpESEgISUlJjBs3DmNj4+eyb2loaODs7MyAAQN477336Nixo+hg27RpE9ra2mKWWF1HTU2NoUOHIpVKCQwMZMOGDWzbto2YmJhnssXqMmrV9XUOnkEul7NkyRKGDh2Ki4sLt2/fZseOHQQEBGBtbc2oUaMYNGgQRkZGKq001PN8CNHNS5YswczMjAkTJoglk06fPk1paWmNlcQU5ktUVBRLlixh//794u9kMhlz587F19f3D3+fnJzMjz/+SOfOnenVqxd6enq1JiJz9OjRHDhwgKlTp/LBBx9gZWXF6tWrxSw3Za2h2NhYTE1NnympIGTcLViwQCy/JfysLlBQUEBMTAyFhYU0bNiQzp07v7Sjt6KiAplMxpUrV0hNTeXo0aP069eP1atX14p9sbS0lMTERO7cucONGzcoKSmhadOmhIeHM2XKFIYOHarSmQ9LlixhxowZSKVScnNzKSkpwdDQUCVqmP8v06dPx8fHhyFDhohjKqyr3bt3k5mZyezZs5XqwMvPz+fgwYN88sknf/hdSUkJ58+fx8vLC2Nj41oxv+s6mzZtom3btnTp0kX8WWlpKRkZGbRq1eq5125ERISYuRweHs6YMWOYPXu2Sq/9N8nFixc5ePAgRkZG3Lp1i/HjxzNu3Lg6b4RSFocOHeLmzZtERkayY8cOLC0tGT58OJs2bXopo4ZCoWDnzp107doVQ0NDZDIZVVVVNGvWjKZNm6Ktra30/czb2xtHR0ciIyN58OABLVq0oEOHDsycOVNs4P4yLFu2jO7du9O5c2du377NmjVriI6OxtHRERcXF4YNG0bz5s2Vdu7I5XIuXrxIRkYGmZmZlJeX06BBA5o0acLMmTPfuDwCwnzIzs7m4sWLFBUV0a9fP7E6Sj01S1VVFdXV1UgkEuLi4khJSeHOnTvk5ORQXV1NZWUl586d4+uvvxbLOU2ZMoUjR44oW/R/RFhbV65c4eDBg8jlcjIzM7G2tiYrK4tevXoxffp0ZYv5Wnn8+DHDhg1jxYoVPHr0iIyMDLKyssjIyODrr7/+x34+NUF5eTmzZ89GTU0NTU1NrK2tuXDhAtra2sycOZPWrVvXqjO9Z8+eHD16VOx3qerO4BdB2H8rKyvJzs4mMjISMzMzfH19OX36NMOGDWP69Okqlw0ql8spLS1FR0dHKT0Ay8rKCA8PJzExkZSUFG7evIm6ujpffvnlM/eEF+HQoUOMGjWK/Px8Ll68yNmzZwkKCuLmzZsqedeurq4mKSmJ33//nQsXLjB69GgGDBhQJ9aIkC39NEeOHCExMZHs7Gw+/fRTLC0ta+S7hLmsr69fJ8buRcnNzWX16tWYm5szbdq0OmUH/Svq9tO9BCUlJSgUCiZPnoyDgwPTpk1jw4YNVFZWkpGRgbW1tfi39Qax2o9g8EpPT8fLywt4YujX0NDg0qVL4s9qYkMU5ouWlhYNGzbk4MGD9OzZE2NjY7Kzs8XoMOG7KioqUFdXJzQ0lKioKLKyskhJSaFly5aYm5tjZ2enUiVV/pe8vDx0dHQoLy/nwYMHYvmfmJgY8QKgjDVUWlrKf/7zHzEjqGPHjrRv3x4zMzOkUim3bt1i+fLlQN0pA6NQKFi8eDGxsbG0bt2ahg0bEhwczIwZM17I4JSVlUVJSQknT56ktLSUtLQ0UlJSGDJkiNjXpLKyUmUPToVCgUwm4/Lly5iamjJixAjee+89MjMzuX37Nvr6+mJ9c1V998XFxVRVVTFz5kzGjBkjOmmqqqqULdqfIhhcBSorK0VZw8PD6d69u7JEEwkICCA8PByAoKAggoODmTZtGgA6OjrP9EiqP/eVR2hoKOXl5Zw9e5ahQ4c+87sTJ0688Np1dnYW++3J5XKxX9i/9R0LukdoaCiFhYX06tULOzs70tPT+eyzz14pyrSef2bUqFFYWlry+eefY2FhQVhYGEZGRpiYmLyQ00qhUKCuro5MJkMul+Po6AgglkUUAr5AeXNdcDhv27ZNzDTMz8/nwoULnD179pWMsyUlJVRWVrJw4ULMzc359NNP2bNnDzk5OaSlpeHq6io+95s2dDxdvtLLyws9PT1KSkpIS0sjMjJSlEdZTkrhO7/99ltsbW3Zu3cvAwYMQC6Xc/78+RqvlvFvJygoCENDQ5o1a0aTJk2wt7enb9++FBcXExsbS3JyMh4eHrWynNPT5V/ffvtt7t27R1paGsOHD2f+/PlihkVdNDgK6zcmJob27duLvQrhyf6bnZ39Rhxh8MTmsHz5clJTU4mNjSU6OhoLCwvU1dU5cuQIYWFhfPjhh29ElpdFGM/MzEwcHBxEh0tdmzfC/uvj44ODgwNSqZTs7Gy6du3KsmXLuHjxInv37mXKlClKv2cL69bPz4+IiAju3LnDrFmzcHFxITs7GxMTkzd2j9bW1sbT01MsOxwbG8sPP/wglkh8mfN0wIABpKSkYGNjw+jRo1W2t2FERATh4eE8fPgQOzs7xo8fz/jx48V7dl1YIz/99BO//PIL7u7u9O7dm27dujF8+PDX8l1Pl4usC2P3VwhrIi8v75mzyNjYGCMjI7FMoqrawmqS+sywv6C4uJjdu3cTGxtLmzZtGDdu3CtFKdaj2hw9epTg4GC++eYbpFIpMpmML774gi1btrwWA9C5c+c4c+YMNjY2hIeH06BBA8aNG0evXr1EI8F///tfmjdvTs+ePdHR0SE9PZ3bt28jk8nIyMhgwYIFuLm51bhsNYVcLicxMRErKyvWrVtHWFgY9vb2pKSksG/fPqVHJIeHh3P58mVCQkK4d+8exsbGWFtbc/36da5fv640uWoSYYyvXLnC1q1b2bt3LyUlJcTFxfHTTz/RvXt33n333X/8nPz8fObMmYNMJkNXV5dBgwYhkUjo1q0bTZs2RUNDo1YcmH5+fuzduxcrKysePXqEjY0Ns2bNUrZYL0xBQQEHDhwgJCSEoUOHMnjwYGWL9JfcvHmTH3/8kbVr1z7To6a0tJRhw4bh6+ur9CjHOXPm4O7uzrBhw1i+fDna2trMmDEDgOPHj5Obm8vEiROVKuO/HblcztWrV/H19SUsLIx+/fphbW2Ns7Mzjo6OfPTRR+zataveUFsDHDt2jJUrV9KrVy9mz56tMv096yJP97y4evUqFRUVeHp6YmJiQl5enmjgeBGDcUpKCmFhYfj5+WFjY8P8+fPF3wUFBZGWlsaoUaNe1yP9I0/rfjExMQQFBeHu7o6Tk1ONfk96ejp79+4lNTUVFxcXxo0bp/SIbuHZN23aREhICG3btsXW1hZnZ2fRQA3KcRAIsqWmpjJv3jx2797N8OHDOXLkCA8fPmTs2LEcPXr0jZR1+7dw9OhRPDw8OHPmDFeuXMHFxYVWrVrRsmVLLCwsxN7FArGxsVy7do3AwEAiIiKYOnUqH330kZKkfz5Gjx7Njz/+yNKlS3nvvfdwc3Nj3rx59OrVi+7du9dJZ5hwjz916hQ//fQTvXv3pmfPnlhbW4s9eN7UHViQJTMzE2NjYzQ0NHj06BFxcXHcuXOHxo0bM2rUKJV+D8JYBQYGsnjxYho3bszgwYOxs7PDxsamVpTofxGEknxCwLPwbvLz83nrrbcICAhQSgbWnzF8+HC++OILFixYwJ49e2jatClLly7lo48+eq19SYU5kZuby40bN7C1tcXU1FT8znfffZc9e/a80GcK43zy5EkuXbpEYGAgCoUCb29vPvvsM6ysrF7Ho7wwwrOHhoayevVqdHV16dChA4mJiRgZGfHZZ5/VqmzPv+Pp97x8+XIuXLiAQqFAV1eXrl274unpyeDBg+vvKS9BSUkJrq6uGBoa4uHhQb9+/TAzM+O///0vvr6+NZZtp+rU9wz7E4qKitDV1cXd3R0tLS327t3L1q1bKSwsxN7eXmWjsOp5eQwNDTl16hTz58/nyJEjxMXF4eXlVeNZCyUlJYwZM4bPP/9cbJTcsWNHRowYgYuLi9gPqLKykuLiYuLi4ti/fz/+/v6UlJTQrl07Bg0aRO/evV+4ofqbRiKRiIp3mzZtKC4uRkdHh1GjRim1r5FwsDZt2hRPT09GjBjB6NGjadq0Kenp6bi5ueHp6VkravH/EzExMairq5OcnIyenh7u7u5IJBKaNWuGRCLh6tWr9O/f/x/7hoSFhbF582acnZ3p0KEDZmZmeHl5oa+vj1QqrTXjtH79esaPH89HH32EhYUFp0+fpmnTplhYWFBRUfFSvdSUgba2Nu7u7piamrJx40YCAgJwcXFRuqHvzzAwMCA8PJylS5cSGRlJfHw8UVFRbNu2DQ8PD3x8fJTuGP/555/5+OOPkUqlbNmyhffffx9jY2MANm/eTOvWrXFwcFBaf516npwnwrkhkUjw8PAgMTGR33//nV9//ZUmTZowfPjw+ndUAzg4ODBkyBDu3LmDr68vRkZGWFhY1I/ra0AY06+//prc3FzWrl3LuHHjUFdXJy4uDgcHByQSyQuNfWxsLPHx8Vy8eBE9PT0iIyOJjo5GLpfz888/4+TkpNT9TNjv161bx8WLF7lz5w7btm3j119/pXXr1mIfoZeloqKCiooKDA0N6dq1K5qamly4cIH9+/eLpRiVdY9TU1OjoqKC/fv3k5+fT6NGjUhOTubAgQMkJSWhoaGh1LWmpqaGv78/jRs3FjMx+vbtS3x8PJGRkYwcObJ+j61BHB0d0dPTo1mzZujp6ZGRkcGNGze4du0aFy5cwNXV9Rm9zsjICFdXV4YNG8aECRNo2bIlWlpaKvtOKioqMDAwwN7enpiYGCIjI5HL5Rw4cIDp06ejpaWlknK/KsKdKCYmBnhSeiomJoawsDCCg4OxtbV9YwHWwr3mm2++wdraGlNTUzQ1NTE3N6ddu3Zi1poqvwdBtpKSEuzt7dHT0yM9PZ3Y2Fj8/f0xNjZWiV5Or8LTJRIfPHjA7du3SUlJwcDAgEaNGgFPnl9TU1OstKNsWSMjI0lMTGTy5MmcOHGCCRMmUFBQwOrVq/n4449fqwyCDSkoKIhDhw6RnJxMQkICERER7Ny5E01NTQYOHPhCe6Pwd7NmzeK9995jyZIl9OnTR6xKoSp2t4qKCiQSCTt27MDV1ZW5c+fi4OCApaUlJ06cQFtbm1atWilbzBpBeCc6OjoEBgYyc+ZMMRng+PHjHDp0iOHDh4tBBvU8H1VVVWhqajJ16lScnZ3Jzc3F19eXW7duMWHCBDp16qRsEd8Y9ZlhT5Gfn8/8+fOxsbEhPT2d8vJyunXrhra2Njt27CAxMRF/f/9XvqjVo7o8fPiQqKgoGjduXKNRqoLicPv2bXbv3s3atWtf6N/HxcVx5coVbty4QUZGBlKplK5duzJ16lSVjYaIjY3l3LlztGrVCi8vL5XLrBRq9QsOyLqIUJrExMSE4uJiJkyYQM+ePcnKyuLw4cO4uroycODAf+yRU1RURHR0NDKZjJycHHJzc1EoFOjp6aGjo4OPj4/KKIl/R9++fTl06JBoXHj//feZPXs2Dg4OtaIuclVVFdHR0WITcisrK4KDgzlx4gRnzpxR6b4eISEhBAYGkpiYSHFxMW+//TZ9+/YFlFcSCp5kUfTr1485c+ZgaWnJ2rVrOX78uPj7kSNHsmXLFqVnr9Xzfzxd5i01NZXq6mqxZ54qRzfXNsrLyzl69CinT59m5MiRDBkyRNki1SmEfS8lJYV58+axZ88eRo4cyW+//UZeXh7vvfceR48efSEdTyaTsWTJElasWMGnn37K+PHjSUtLE3tLFhcXs3DhQpXYz4YOHcqqVauws7MDYNeuXWRmZvL555+/dPZRdXU1S5YsoUGDBmRmZmJlZYWDgwP37t3jl19+obCwkF9//RVnZ+c3fu4Ie1NgYCCHDx9mzZo1lJWVkZSUxM6dO5HL5aSlpTF79myxRM2b5OmyOdu2bSMoKIixY8eKvRQtLS2ZMmVKfU/FGuSv5mBcXBy3bt1i7NixdeY8u3fvHqtXrxZ9yar+AAAgAElEQVQDW6ZPn670QKjXQXFxMVlZWaIxuqqqiszMTGQyGUlJSaSmpvLll1++0Sz2/Px83n//ffz8/IAn806hUPDdd9/x1Vdf1aqM+oKCAgwMDMTea7GxsQwcOFCl20Y8D8K++v333xMeHo61tTVyuRwdHR1mzJihks938eJFYmNj0dXVJT09nblz53LlyhV8fX3ZtGnTa9fHHz9+jKamJjKZjOTkZBITE8nLy8POzg4PD48XyqoX9qK4uDjmzJnD4cOHxX+blJTEzJkz+e2331RiPz59+jSWlpaije3p6jBffPEFnTp1EgNXVEHeV0F4hvPnz7N792727t0r2mtu3bpFZGQkH3zwgbLFrJVUVFRQXl4uOtn19fWRy+Woq6vXuXP571Bty98bJjs7m+joaLS0tPjkk0+Qy+XExMQgkUiYP38+RUVF9Y6wOohMJuPcuXOYm5vTvHlz3N3dqa6urlElXeijlJ2dzf3799m7dy9eXl6YmJiIET//iyBDgwYNsLe3x97env/85z9UVVVx69YtNm3axI0bN8Q+KaqAcGjFxcUxd+5cLC0tOX78OF988QXNmjWjc+fOLFy4UNliAk8i955+x083sq4r7N+/n7S0NG7cuEFYWBhbtmxh69atlJWV0bZt2+fusaOnpyfW4y4tLSUzM5OUlBQyMjKIj48Xx1CVL7YpKSmUlpaydOlSTE1NsbCwIDc3FwcHBwCVd4TBk9rgX3zxBQMHDiQ7O5tHjx7Rq1cvhg4dqtKOMAB3d3c6dOjwh7mm7DljbGzMvHnzuH79Ovv27aOwsJBZs2bh5uZGo0aN0NbWxtDQUOly1vOE0NBQDh06RHx8PC4uLowdO/aZCMjafvFTFoIhJjw8nJycHKqqqggLC0NdXZ2CggJ8fX0ZMmRInbhcqxq///47nTp1Ijw8XCxLkpGRgbGxMZqami805hEREdja2pKXl0ebNm3o378/8OR+U1RURPPmzVVCx4mJiUFTU1N0hAH079+fSZMmvVIZvpSUFE6cOEGnTp0YMmQIpaWlPHr0CFtbW1auXElCQoLSMyEiIiJEvV9DQwMnJyf69+/P3bt36dOnD6dPn1aKM0wYjyZNmuDg4MDdu3fZtGkTmzdvZujQoWKPjvr1X3MIY15ZWflMHzvhzldbEc6TtWvX0q1bN7GixFdffYWGhoYYxV8Xdapbt26hUCjQ0tLi8OHDYinUjh074u3tTXl5+RsrNSrorVFRUWIpQcGQnJubS1RUlMo7woTzLy0tjcuXL3PixAnatGnDwoULMTAwUHqWVE0hkUiQy+VcunSJPXv2UF1dTUFBAVu2bGHz5s3MnDlTpYzUVVVV9OrVi5iYGDZt2sSoUaPw8/Pj2LFjYg/x15Vv8fjxY65evUpsbCyenp64u7vTpEkTOnbs+IfA6xc9rxo1aoS5uTmBgYF4eXkBTzI7DQwMaNCggdJ14IKCAvbs2SPOBaFsoLW1NZmZmZSUlODt7Q3UjbNaeAZTU1N0dHQICwvDxcUFgMTERLHft7LfS21kz5497N+/Hzs7O5o0aUL79u2VWkJdWdRnhj1FZWUlUVFR+Pr6EhUVxaBBg3jrrbeeqUVcv9jqBoKCmJaWxtKlS1FXV+fy5cuYm5ujpqZGv379mDFjRo2/661btxIUFESDBg1o1qwZZmZmGBoa4uPjg4GBwd/+2/9thrl48WJcXFwYNGhQjcpYE/zyyy+kpqby7bffAlBWVsaFCxdITk5mxowZ9ZGlbwBha/9fxfnu3bvcvHmThIQEVqxY8VxG/r/6LHiSTSmVSlX+fT58+JCwsDBycnJISkoiOTmZlJQUOnXqhKGhId7e3jg7OytbzL9EWDN/dQbVn001Q3R0NP7+/oSGhhIeHi5GxdfvWcrj6YjNefPmMWTIEMzNzTl//jyFhYUsXbr0H8/Pep6PDRs2cPHiRRwdHWnVqhX5+flYWVnh4eGBtbV1/Tp4DaSmprJ//37Cw8MZMmQI48aNY+HChTRp0oSpU6e+0JhHRETw5ZdfkpOTg729PTNnzsTJyUllyrsLa/nRo0fMmTMHMzMzxowZg52dHadPn+bYsWNs2bLllc6zpKQkjhw5QlZWFl26dMHb21ulouojIyPZuHEj/fv3x8vLi3v37rFy5UomTZpEdHQ01dXV/Oc//3mjMkVERBAaGsrAgQOf6fOSlZVFUVERLVq0qBUBQ3WFuhJ8M3jwYDZs2ICVlZX4TKdPn6Z79+5/6IdWVygqKkJdXZ0bN25w4sQJJBIJEokEIyMjDAwM6NWrF82bN3+jMuXn57N8+XJcXV0ZM2YM5eXlrFmzhurqaubMmaPS57og2w8//IC2tja5ubno6+vz2WefceDAAXR1dRk4cKCyxXwl0tLSKCgoIC8vj1OnTrF69WrxdxkZGUyfPp0jR44oUcK/prCwkDNnzvDbb7/RtGlT3n33XTp06PBae1adOnVK7DddUFCAp6cnERERlJaW0rdvX955551X+vxt27Zx8uRJrK2tycvLo0mTJvTo0YNhw4apzF07NTWViIgIoqOjiY6Opry8nKysLEaOHCn2vK5LKBQKVq1axZ07dzA1NSU3NxddXV3Gjh1Ljx49VHoPUyWe7g07adIkdu3aRX5+vti+4uOPPxYDn/4t1DvD/oLMzEwCAgJ4/Pgxbm5uKm0krefFETbN3bt38+jRI7p168aBAweYPXs2n3/+OcbGxixZsqRGLiTFxcVERkaKTV4fP34s1jVOTEzk3r17/PDDDy8cnfV0M1xVYePGjXh4eHD//n3U1NRU0lEnEBERQXl5OW5ubiqh2NQ0gsIWGxtLYGAgKSkpvP3227Ru3fqVP1tYP6WlpSgUilpZqzknJ4fY2FiSk5OJiorC29ubAQMGqIyi+2fExsayb98+8vPzWbRoEfr6+vXK32tELpfz+PFjdHV1VXpe1HWE/WbdunUA4kWvurqaRYsWYWhoyLRp05QpYj31vBTV1dXcu3ePa9euceTIESQSCffv36dXr168++67WFpavpQe6u3tjaOjI5GRkWKfrA4dOjBz5kyVKVkdGhrKvn37UCgU3L59m06dOjFmzBg8PDxe2bBRUVHBnTt3uHTpElVVVXTq1KnGewC/CidOnGDfvn1UVFRgZGSEtbU1X3zxBe+88w7ffffdG88KunTpklgBRSqV4unpyYABA+jcufNfVq+o59VRKBQsW7aMWbNmqdRd7lUQ9qv4+Hjmz5/PgQMHxN8VFRUxatQoTp8+Xed110OHDjFkyBAxAys+Pp7o6GhmzJiBvb39G3d4Hjt2jPXr15OdnY2trS2dOnVi1KhRtGzZUqX1W2Gcxo4dy549e5gzZw6DBg2ie/fuTJ8+ne7duzNixAiVfoZ/YseOHYSGhtKsWTPu3LlDx44dGTBgAAYGBly6dIm4uDgWLVqkMgb/6Ohobt++TXx8PMbGxnh7e9O2bdtnSpi/TmbOnEnPnj0ZMGAA06dPR01NjSFDhvDgwQNOnTrF1KlTcXNze+7Pq6ioIC8vj6ZNm4o/k8lkxMbG8vDhQ9q2bUvbtm1fx6O8MH81z1NTU7l06RK6urqMHDlSZeZKTRMaGkpOTg4PHjzAw8OjVmdQKwNhP71y5QpXr15l3rx54u+CgoLYunUr27ZtqzMBOc9DfZjX/6ewsJBTp05hYGCAjY0NpaWlVFVVERERwd69e7GysmLz5s0q25+pnpcjJCSEjz76iPPnz9OiRQukUilubm5iZGRNbAa3bt1iz549tGzZUmwkbGNjw5gxY5BIJGJmzYuiaiU7KyoqiI6OZs+ePRQWFqKtrU1MTAyDBw9WucNqxYoVyOVyTp48ya+//oq+vj737t3Dzs6uzkS/CsrS8uXL6dSpExcuXODDDz+kurqaffv2MWDAgJfuGyJ8tp+fHyUlJUyYMKHG5H5dFBcXExsby7Vr11BTU8PDwwNPT086derE/fv3xchxVb1MPXjwgAULFjBmzBhWrVqFgYEBycnJXL9+nbFjx9YZQ4oqoaGhIY6rqs6LfwPChU4ikTwzz9XU1NDU1BR7ANbVy9/rRtBz8vPzCQsL4+rVq9jb2/P222/z8OFDdHV16+d/DSOMeUREBDt27GDdunW4uLhQWFiIRCKhbdu24lx/ER1UWAPbtm2jRYsWwJOsgAsXLnD27FmlnhPFxcWEhobi6emJlpYWbm5uODo6EhsbKzrphHP4ZdaxXC7n4sWLNG/eHE1NTbS1tenYsSPJycns2rULX19fVq5cqfSyYHK5HC8vLwYPHkxubi5FRUXY2dkhl8v5/PPPlaIv9+zZk549ewJw9epVzp49y+LFi8nPz0ddXZ0tW7a8kHGxnr9HWP8xMTFkZWWhoaFRZ4xPT5ee19HR4caNG7i6uqKpqUl8fDwWFhZ/W+WgLpCWlsbhw4cZNWoUzZo1o1mzZvTp0weFQoG6ujrw5ktEDh06lKFDh3L//n0yMjKeWc+q/B7U1NQoLy/H0tKSmJgY4uPjxcCG9PR0unbtCqj2M/wTAwcOxNbWlvj4eFq1aoVMJmPPnj1ER0fTuHFjZs2aBahGWdGLFy/i6+tLUVER7u7uZGdns3r1ajw9PZk8efIb2cfS0tLEUnl5eXksWLBALJfu7+9Pfn4+8PwVU65cuYKfnx9z587FyMiIhw8fUlJSgr6+vsplHQrPc/PmTc6cOUN1dTVSqZTRo0fz4Ycfin9XF+5CwlySy+WcOXOGhIQErK2tadOmDQMGDFC2eLWSqqoqJBIJiYmJpKSkEBgYiKenJ1VVVdy+fZuWLVs+83f/BuqG1bcGuHv3LteuXSMvL4/79+/j5OSEkZER+fn5FBYWYmNjg6amZp1RVv/tCAu8f//+WFlZoa+vT35+PhkZGRw9epTvvvsOqBnFw9nZmY8//phjx45x5swZtLW1cXJyQlNTE2tra3x8fGplZs3/0rBhQzZu3Ag8MdxfvnyZ48ePi9GvXl5ebNq0SWnyCWs3PT2d8PBwvvnmG27fvo2VlRUPHz5ky5YtLFu2TGny1SRPp0FXV1czefJkzp07h52dHSUlJezZs4eRI0e+9OerqalRXV3NiBEjKC4ufuY7VRGZTMbevXu5fPkyAwYM4OHDh2zcuBE7OzsWLlwo9mlRRQRl/tq1a7i4uGBvb0+bNm1o0KABjx8/5sKFC7z33nvKFrOeel47/fv3Z8qUKWRkZODg4IBcLic8PJwRI0YAtdsYokyES8/evXt5+PAh0dHRYkBQaGgoxsbG9dURahihj2x8fLzYt/Lp3ncvU7Tj6Z6nCoWCX375BXd3d5ycnBgzZgxjxoypGeFfkosXL+Lv7y8aYZOSkvD390dTU5NBgwa9dHCOgEwmY+fOnWRmZqKvr0/Lli0pKysjKiqK8vJyTExMlOYIe/oc9/f3JyEhgaKiInr37i0asDQ0NOjUqdMbly0/P5+DBw/yySefANCtWze6desGQElJCefPn8fa2hpQbT2vNiHsuYWFhZiYmCCTyZ7pn1cXcHBwoFevXhw8eJCsrCzCw8O5f/++WDGkLhYmEoIRYmNjsbKyorS09JnMSsER9iYQ1qpQxi4rKwtHR0ccHR1xdnZ+o73LXhUtLS0GDRrE6tWr0dXVJSAggCtXrmBmZoaJiUmt35dMTU0xNTUV+3gnJycTExODtbU1cXFxYk9oVdBxf/rpJz7//HO8vLyoqqoiOzubiIgI5s+fj4mJCcOGDXut35+SkkJERAQXLlzA0tKSsrKyZ3SnnJwcUcd43vG6fPky7u7uGBkZ8eDBA9asWcPZs2fR0dGhd+/eYq9DZfN0i5eNGzfSvn17bG1tSU5OZu7cuSxcuFAMgqoLCOfkypUrKSgooLq6mtzcXDZt2sSHH374yuUw/40Id4T4+HgyMjJYtGgRDg4OFBQUYGtry/vvv//M3/0bqHeG/X86depE+/btxYtSZmYmlZWVNGvWDIlEIkYZ1PYDtx4oLS2lrKwMfX19MbJg2LBhTJ06laCgILp27YqrqytQM84wAwMD3Nzc2LJlC+vXr6dRo0bEx8eza9cuwsLC8PHxAWr/3BKa8spkMkxMTBg5cqTocImJiUEmkwHKi94XxvfGjRt07dpVbJIKTw6FuhSdKcgfERFBhw4duHr1qqhMJyUlYWZmhpaW1itFZqqpqdGwYUP09fWf+U5VZP/+/ejq6nLx4kWqq6spLS0lLS2NtWvX8sUXX7Bq1SqVlV+QKyMjA3d3d0JCQnB3dwfg+vXroiG1PiumnrqOnZ0dO3fu5OjRo8hkMjIzM/n000/FSDZVXcOqjnAG3Lhxgz179vDNN9/Qpk0bAA4fPkyfPn1wdnauE2ejqiBkoCckJODv74+enh5du3bFysoKeLm5LLyfdevWkZyczP379/nxxx8xMDBg+fLl4rmhLG7evImPjw9SqZS4uDjWr19PcnIyDRo0IDAwkO+///6Vev+ZmZmxceNGTExMePDggdj03tjYmLy8PMrLywHl6NrCGvv555/p06cPY8eORS6Xs23bNk6dOsXYsWPfqDxPExAQIDahDwoKIjg4WCw7q6Oj84xxs3791wyCrnbw4EECAwOJj4+nT58+uLq6YmVlVet7YMrlcmbNmsXs2bOpqqoiNDQUCwsLRo4ciaOjI1A3jW3COs/IyODcuXPcunWLrl270rFjRzp06ICpqekb238EQ/LixYuxtrbm4MGDNG7cmJKSEiwtLZk9ezbt27d/7XLUFF26dKGoqIiTJ0/i5+eHlZWVWJWktusm1dXV4jOoqalha2sr3tnfVOnB50Emk6GmpoaXl5do8zEzM8PMzAyJRMKVK1cYOHDga5XX2NiYefPmcf36dfbt20dhYSGzZs3Czc2NRo0aoaOjg6Gh4QvNiaioKCZPngw80XkLCgo4cOAAhoaGfP311yQkJODk5PTanul5EZ4pICCA1q1bM3PmTOCJ/W3dunWcPXuWqVOnKlnKmkM4I4KDg9m7d69oo7916xa7d++mf//+KtUPtjbx/fffA0/mfmBgIHfu3CEwMJC7d+/i4ODAokWL6kylrH/i3/GUz4FEInkmYlAoQSdELgkRi6oQlVHPq7Ft2zZkMhnu7u40bdqUZs2aYW1tzf79+8nOzn6mefSrIhxcQm8woeawnZ0dvXv3ZurUqa9k/FAlhENr/vz5fPXVV7Rr146KigoAWrRogaOj4zORy28aYe3q6emRm5vL6tWr6dixI/DECCgYiupCanBubi5GRkZ4e3sTFxfHsmXL+OCDD3j06BE7duwQo4/rYmTmnxEcHMyGDRvEg71x48a0bduWH374gW+//Zbo6GiVUHT/DGFf6NGjB1u3biU0NJRZs2YRGxvLzZs3+eCDD575u3rqqatERESgoaFBr169sLKyQltbW9ki1QnU1NQoLi5GKpVSUFBAQkICnp6eANy/f188L+r3mJqhpKSEmJgY3NzcaNmyJXK5nKCgIK5fv46Ojg5mZmZMmTLlhaP2BR3n8uXLrFq1Ssw02bVrFxcuXKBt27ZKzQSIjo7mq6++Ap70r9HV1WXfvn3o6+szadIkEhIS8PDweGnDphCYU11dTZMmTZ4xkpiYmIj/rax5nJqaSmlpqXhmA0ycOJHvv/+e4cOHK83gGRoaSt++fYEnc+fpffX48ePk5uYyceJEpchW19m4cSOZmZkEBgbi7+/PgQMHqKio4MiRI+J8rk0Iazc2NpbS0lKMjY0ZP348wDMlAusqwt7yzjvv4OPjw927d7l79y5Hjx5l5cqV7NixQ8yyfN0I99jExERWrVpFaGgoGzZs4MaNG2zbtk3sHVlbHEkpKSl4eXnx1ltviY4YgbpgmxMcYfCsc0xVHGEAv//+u5g13LBhQ6qqqlAoFGhqamJhYUF8fPxrDyrW0dFh/Pjx4r4SHR2Nv78/fn5+hIeHixnwz2vLefToEaampmLFmyNHjvDpp59ia2uLRCIhOzv7lbPWa5qSkhLKy8spLS2lYcOGaGhooKOjI1bqqUvBsVlZWUgkEuRyufgzV1dX5syZozL9b2sLwrosKSkhPT0dY2NjnJycRPuXQqHgxo0bJCQk/GscYVDvDPtHaoOCUM+LkZaWRnBwMBoaGsTHx6NQKDAwMMDW1hYzMzO0tbXFHiSvytPzx9zcnGvXron1rQMCApDL5airq9caZfTvUFNTo6ioiNLSUtq1a0d1dTUNGjSgQYMGTJ8+ncWLF6tEOch+/fqxefNmYmNjsbe3Z/r06VRUVDB9+nSg9q95uVzOhg0bGDp0KC4uLvTs2ZOUlBQWL17M7t27GTVqlFimpC5cIP6JoqIiNDQ0RKWpsrISeKIoGxoakpaWJpYxUeV16OTkxKhRo1AoFAQEBLBp0yYmTJiAl5cX8O94l/X8+xCyV9esWUNQUBA5OTlib9eZM2diZmambBFrPdXV1Whra9O3b1++//57TE1NkUgk7NixA6lU+kaj2f8NBAQEcPv2bdzc3PD29sbZ2RmJREJmZibJyckUFha+tNMqJiYGTU3NZ0qu9e/fn0mTJinVEVZWVka7du3w9/enXbt2+Pn5iSWv4EnfD6G8z8vOs6cj61URoSJFYGAgLi4u6OjooKOjQ2VlJRoaGkrroRQfH8+MGTOAJ4ZFoT8NPJmrQn+eutzjSRlUVVVRVFREUVERb731lmjEvXv3bq10hMH/GaALCgrQ1NTk5s2bODk5IZVK67wjLDw8HJlMRp8+fYiOjqZNmzYMHDiQgQMHUlJSQlpa2htzhAncvXsXMzMzHj16xMOHD8UMZKFsPqjunVfYz7Ozs1mxYgWPHz+msrISqVSKnZ0drVq1Evsc1nb+7B2o4l577NgxCgoKcHR0xMXFBWNjYzQ1NYEnlUqEctpvMqi4devWtG7dGnhi/3j8+DHw/PNaV1eX7t27079/fywsLLCysqJfv37Ak550WlpaKnPPEObEiBEj+O6779iyZQteXl5ERkYSEBDA3Llzn/m7uoC5uTk9evRgzpw5TJo0CWtra44cOYKNjY1S9abaiLCn/vzzz/j7+5OXl4eNjQ3Ozs60bduWvn370r17d1Hn+7dQ7wyr51/H9OnT0dLSIjY2lj59+tC8eXNiYmIICQnh4cOHr6VvVIsWLfDx8WHevHk0bdqU5s2bk5ubK5ZIrAvZSPDkUi1k1glGiZSUFDIyMlTCEQZP5HrnnXdo2rQp4eHhuLq60qNHDzFDr7YfqiUlJSgUCiZPnoyDgwPTpk1jw4YNVFZWkpGR8cxlTFUvQTWJjo4OXbp0YevWrXz99dfiOhMivsrLy8VyFKo4HgUFBYSEhKCrq4ujoyPLli2joKCAJk2aKK3/ST31vCkaNGhATk4OR48e5cyZM+jo6JCQkMCWLVs4e/bsMw2j63k51NTUkEgk+Pj4EBkZyeXLlxk5ciTt27cXy6XVO8NqjqtXr4qZ6Pv27cPW1pYhQ4bQokULOnXqJJbzexGE92NhYYGJiQlLly5lzJgx2NnZERoaKuplyjIcaGtrM3DgQBYsWAA8CUry8PAAnpRp0dTUfOHSRv+LmpoaZWVlKpsx6uDgQL9+/di/fz8JCQnExMRQUFDA4MGDAeVk6qekpHD37l3OnTuHpaUlDx8+FA2L8MQYKGQC1HbdWFUQovZPnDjB1atXuXXrFl9++SWDBg0iPT2dNm3a1Nr9VtCv/f39iY6OZvPmzXh4eNCqVStMTU1p1aqVaDyva2hqauLi4kJkZCQ//vgjxsbGGBsb07p1a5ycnMSS5m8CYf40/n/s3XdgjWf/+PF39k7kZMneESKJpCEIsSLE1thabc22lGqfaulDPS2KFkWVoqUDLWpTK1ZiVchAcpLIkIGQLfMkJ/n94Xfuh47n2xLOcL/+aZuT8jnn3Pd9jc91fS4LC1555RWqqqrw8vLi1KlTZGZmUlRUBKh2gltx/R87dozKykqmTJnC/fv3ycvLIz09ncrKSnr27Km29wo8eL7u3buXVq1a4ebmhrOzM4aGho+8H0W7oArvceHChezevZsVK1aQk5ODjY0NYWFhjBo1it9++03plUr09fWFnXT/5LoePXo0HTp0EJIDAJWVlWzdulVoD5V9rzx8xIutrS0TJ05ky5YtLFu2DC8vL15//XWhvLkqXCtPqqSkBLlcjo2NDUOHDqW4uJgZM2bQ0NAgHG0Dz0+Fo+agra2NTCZj9+7dxMXFUV1dzfnz5zlz5gwrV64kKCgIV1dXtX6mPg6tJvEqEj2nLl68yPHjx2nfvj29e/emtraWrKysp1ourbS0lDNnzlBQUMCAAQNwcnJS2Y7o46ipqWH69OmYm5szduxYJBIJBw4coLCwkE8++UTp54XV1dWRlpZGfn4+bdq0wcXFRfj8ld3RaW6VlZV8//33SKVS2rZty+jRo5/bLeWJiYl8+OGHSCQSunXrhru7O9XV1cIBvO+9955KlhVISEhg1apVVFVVcfPmTSorKwkODuadd96hXbt2z1VnRfT8ycvLw9nZmZycHLZv386sWbOE8jhXr15lzpw57N+/X9lhqr3CwkIuXryIubk5wcHBmJmZkZaWhpOTk5hwfwqGDx/Ol19+iZ2dHWPGjOGDDz4gICCg2fog8fHxbNmyhfr6eq5cuUKnTp0YOXIkHTp0UHo7J5PJqK2txdDQEH19fcrKyli3bh0GBgbMnDnzseNT/H/r168nKChI6eej/ZnXX3+dRYsWERcXh1QqpUWLFvj7+xMUFKS0XXtVVVXs2bOHs2fPkpmZSVlZGT169BDOX9m2bRs//PDDczc58iwMGjSIDRs2MG3aNObOnUtAQABvv/02r776qlqd5fRX7t27x+XLl4mNjaWgoIDq6mo2bNigMgsjm5viHqmpqSE9PZ38/HyysrK4ffs2WVlZvPXWW4SFhT2zeBRnTdXV1WFgYMD27dtZt24doaGhDPf8SdcAACAASURBVBo0iE6dOim9Pfhf4uPj8ff3Z82aNXTv3p3g4GDgwfu6e/cuenp6ar9rXSqVcubMGWQyGTU1Nejp6WFtbY2Liwvu7u44Ojqq7LyEXC4nNjaWX3/9lbNnz1JUVERSUpLGJLtLS0tJTk7G2dkZDw8PpV9nq1ateuSIFz8/P2HHmuI+VnaMzaWmpoZly5YRFBRE//79H3lN8TwTPZ6ioiK2bt0qVMMSickw0XPk4UaivLwcCwsLDh06xH/+8x+io6N5++23m7XWseLPqaioIDExkcLCQqysrPD19cXKygpdXV2V7YQ+iZycHH7++Wfu37/PuXPniIyMZOzYsTg7Oyst4aT4e999913KysqQSCRUVVWhp6eHkZEREyZMwNvb+5nH9bRUVFQIpT5PnjzJypUrKSoq4sUXX+TVV19VufrXz0JhYSH79+8nOzubrKwsampqmDx5Mt27d8fY2FjlOpGK+Pr27UtkZCQ2NjbcvHmTbdu2cf36dZYvX46NjY2ywxSJnpp58+axc+dOXF1d0dLSYsKECURHRwOwfft2bt++zYwZM1R6QkeVVVZWsm/fPj777DNCQ0ORy+XU1NQQFhbGG2+8oezwNFJOTg59+/Zlzpw5ODs7s3LlSvbs2fNEf2ZlZSXx8fF07NhRSKpUVVUhlUqxsrLCzMxMZQ8Zr6mp4c6dO1hYWDzxzjB4kHD66KOPsLe3/8O5Msrw8BlKS5YsYdOmTcJrqhDf7ynOX4mPjxfOX5k9e7b4jG1mt2/fZvbs2WzevJmhQ4eye/duAAYOHMi2bdvUchGC4lqXy+UUFRVx9epVAgICsLW1pbGxkRs3buDj46PsMJ+K+/fvs3btWjw8PPDx8cHDwwNTU1MaGxspKioiKysLf39/TExMnnosdXV1nDlzBqlUSseOHWnfvj25ublIJBIMDQ2prq5utqMgnpaGhgbeffddZDIZ9fX1aGlp8dprrxEQEKCW98b/Ul1dTXFxMbdv3+bOnTsUFRVRXl5OQ0MDxsbGSCQS/P39ad26tdKfwY2NjTQ2NgrVBB5WVVWFiYmJyo2lNcW//vUvzp49S5cuXTAyMqKurg6JRIKHhwc2NjYEBQVpzEKDmJgY9uzZw+rVq4H/Jvtqamo4fvw4AQEBz7zkrLpTzIPm5OSwZs0ajIyMGDZsGJaWlpibm2Nubv7c3rdiMkz0XFm6dCktWrQgJycHqVRKz549ycrKwtLSkqlTpzZrkuDhlaqHDx/G0tKSFi1aoKWlhZGREd26dSMiIqLZ/j5lUXR8iouLOX/+PAMGDODWrVsUFhbi6empMp1umUzGsGHDWLt2LTKZjHv37nH79m2kUinjx4/XiMRCSUkJ8+bNw83Njby8PGprawkPD8fIyIhvv/2WGzduEBMTg6Ojo7JDfWaampqEMqR1dXUUFRVhZGSERCKhuLhYZScJY2Ji2Lp1K9988w3w345MeXk5s2fPJiIighdffFHJUYpET1deXh6JiYkcP36cS5cuUVNTg7m5OWZmZixfvhwfHx9x8P2Yvv32W9LT0xk2bBjOzs7cu3cPqVTKli1bCAoKYt68ecoOUeP82U6cnj170rZtW4KDg3Fzc/vHZf727NlDTEwMn376KaampmRlZRETE4OBgQEDBgzQ+MUvD/dBly1bRmhoKIMHD/7D68qgGAfExsayadMmRo0aRXBwMNbW1kqJ559QnL9iZmamcZUTlC0jI4NDhw7h5OTEtWvX+Oijjzh//jxfffWV2u7EU1zr33//PampqVy+fJkpU6YQHR2NVCrFw8NDKGGmabKysti0aRN6enoUFRVhbGyMq6sr7u7ueHh44OLi8sx2fx48eJBt27YhkUgoLS2lc+fOJCUlUVlZSVRUFGPHjn0mcTwJmUzG9evXKS4uJisri8uXL6Orq4uWlhbW1ta0bduWYcOGKTvMp6K8vFyYn7h79y537tzBxcWFqKgolVs8oUiOKc6HV8fnlrrIzc1l/fr1fzjiJS8vj4qKChYtWqQxfb0PP/wQf39/Ro0aJVxfin/+/PPPlJeXM3nyZGWHqVYU9+bkyZNpamqisrISAwMDrKyssLW1Zdy4cSpzNt6zplpPVZHoKcrOzubbb7/Fzs6OyZMnM3LkSBobG4W6s81NMXCMi4tj5cqVODs7k5eXR1paGpcvXxZWN6n7IFPR8UlNTeXAgQMMGDAABwcHHBwcyM/PJzU1ldDQUKXFp2gAMjIyaNeunZAIUpwT1a1bN7U9rPr3CgsLSUlJwdDQkDfeeAOZTEZqaio6OjrMmzePioqK5yoRBjyygs3AwEB4/9euXWPFihVCsknVnD9//pFkuba2Ng0NDVhYWBAZGcnFixd58cUXxcGHSKM5Ozvj7OzMwIEDaWhoID09nbi4OBITE4Xa/uL1/3hOnDjB22+/TUhICAB2dna0bdsWOzs7fvnlFwoLC4WzpkTNw8TEhLFjxwoTkoqdOMePH+fzzz9n2rRpTJgw4R/9mefPn6dXr16YmpqSlpbG6tWryc7ORltbm7i4OJYsWYKlpeXTeDsq4eE+6K5du9i7dy87duwgIiKCXr164ezsrLTYFH2PpKQkKioq2L59OykpKTg4OGBlZUWHDh1Utnz1456/Ivq/eXt7Y2Jiwscff0zLli1ZvXo1qampQkkodTxHWhHvrl272LhxI9OmTRN2gn311Ve8+uqrQqk7TePh4cHcuXORy+XMnDmT6upqbGxsOH36NAcPHiQyMpKBAwc+k1hOnjzJmDFj6NevH9OnT0cqlTJixAiKi4s5ePAgrVq1Etp8VaWvr09QUJDw34WFheTn53Pr1i2kUimlpaWA+s+f/BkLCwssLCzw8vKisbGRkpISGhsbVS4RBg/a3ofjEvviT4+LiwsLFiwQjnhxc3Nj2rRpwhEvmpIIgweJP0UVEMWenYaGBvT19UlOTsbf3x/QzPv/adHS0qK0tJQ7d+6wb98+4MG8+OXLl7l48SLGxsZKjlB5VO/JKhI9JXZ2dixatIhLly7x3XffYWZmhre3NykpKQQHB+Pq6tqsDwMtLS1kMhl2dnaUlpYKk3rOzs5/mOTWBF26dOGXX37h0KFD9OvXj19//ZXdu3fTrl07QkNDlVoiUUdHhxs3bnDkyBHKy8vp378/bdq0wcnJiRYtWmhMQsHHx4cvvviCbdu2MWvWLAYMGMDAgQMfWe3xPHUesrOzMTIyokWLFn9YlXnq1ClsbW0B1SxXdPnyZVq2bEl6ejoWFhbY2NgIMSYkJDxyqK+6TZqIRP8XxTO5qamJmJgYMjIyaNWqFR07dhSufdHjk8lkNDQ0CJNi9fX1wsrerl27sm7dOkpKStT+TA5V16ZNG+F6lslkVFdXA/+snU5JSWHWrFnAg11iZmZmbNmyhRYtWjBp0iQyMjLo0KGDRn+PTU1NdOnSBalUSl5eHseOHePw4cMsXryYt956i6lTpyolrqysLHJycujRowdjxozht99+4/r161y+fJny8vJHJnxFz5eJEyfSs2dPDh48yK1bt5g2bRq+vr4Aatunu337NhKJBGtra+rq6oRJy+zsbI0tkaigSBzX1dUxb9483N3dkUqlpKSkCM/4Z/EMzs3NFZ4rRUVFzJ8/X/jsY2JiKCkpAVR7LKjYZfjvf/+bkSNH4u/vj52dHS+88AJRUVHI5XJAM5Ivisn+h9+L4jrR1tZW6V3EmvD5q7rfH/ESGhpKcXExc+fOJTExkbfffhs/Pz+N6t/169ePnTt34ufnJ5wPpni+JiUlCWXcNeX9Pm2Ka+P27dt4e3uTn5+Pvb097u7uuLu7a+wu279LtWb/RKKnyNjYmBdffFEoLZaUlMSZM2c4duzYY6/I/SuKB09mZia5ubksXLiQ6OhoWrZsib29Pfb29hpR97qxsZGNGzfi7u6Ol5cXEyZMYP369Zw5c4aysjImTJggrARUVqOlGFS6urry5ptvcvPmTQ4fPsy+ffuEuuSacl6Yjo4OAQEBBAQEUFBQwKlTp/j1118JCQkhICAA0Jzk69/x8ccfI5FI8PHxwdvbW0h+2tracu7cOWGbvap9JrW1tbRu3ZrU1FTS09OxsrLC3t4eBwcHfHx8uHr1KhMnTgRUL3aRqDkokryLFy+mqKiIiooKYmJimD9/PvPmzdOIEsPKFBsbS05OjnDOg56envBaZWUlJSUltG7dGhAHnM/K4+zEqampITAwkJiYGAIDA9m/fz/Lly8XdhsVFRXh5eUFaPb3qKWlRVVVFRUVFWhpafHKK68wfvx44MH1DM9+8jc2Npbvv/+eq1ev0tjYyIABA5g3bx59+/alurqa7OxsjVrNLfp7ZDIZWVlZ1NXVYW5uzptvvqm2ya/fq62tJSAggHXr1tG2bVvgwX1gbm6OqampRk3YKtTX1yOTyTAxMaG6upr79+8LlUd8fX2FBCc8/WdwTk4OycnJHDt2DGdnZ2pqah5JQt69e1dYAKPKYwdFWftr164xZ84c4MHzu6Ghga1btzJy5EhAM9q0378HVbxHFDGVl5eTmppKdXU1BgYGODk5IZFIVHZ3sybQ0tL60yNewsLCqKuro7KyEolEonLXzJMICQlh586dLF26lLCwMGxsbKirqyMxMRE7OzucnJwAzbj/n6WEhARSUlJYuHAhPXv2xNbWFltbW9zd3Z9ZGV9VJCbDRM+twMBAAgMDgcdfkftXFA9oKysrRo8ezc2bN7l06RINDQ00NTUxYMAAjZjMu337NtnZ2dy8eZOTJ0+ir69PYmIiLi4uLF++XNh5A8pptEpKSrh27Rrh4eF4e3vTrl07ZDIZd+7cITs7m7S0NI2pkVtWVsbBgwextLTEzc2N6upqGhsbSU5O5scff8TFxYWvv/5aWGXzPPjggw9ISEggMTGRuLg49PT0cHJywsPDg6ysLDp16gSo3qDQ0NCQRYsWUVBQQGpqKlKplNTUVJKSkti3bx9yuVwo/SR2BkWaSDE5eP78eTZv3ixMGh86dIgTJ07QsWNHjVhQoiwWFhZYW1vTqVMnjIyM6NChA71792bQoEGkpqYKiTBVXj0uAiMjI/r378/8+fMB6Nu3Lx06dADg+vXrGBgYIJFIVHKCrTko3ldhYSGbN29m586dBAYGYmFhQb9+/YTykfDs2/k9e/bQo0cPNmzYQGZmJsuXLychIYGgoCCMjY3x8/N7pvGIlEux22Xfvn1s2bKFsrIy3N3dsbGxwdnZmfDwcGHRmjpqbGwUzshavnw5pqamLF68mJycHEaMGCH8jqYk/hR+++03zp07R4cOHbh69apSd/LY2Ngwd+5czp49K1xjH3zwASEhIRgbG2NiYqLy7YEititXrmBnZ4exsbFw7xQVFXHw4EFeffVVZYfZLKqqqti1axejRo0SFiSp4vei+E6WLVtGWVkZZ86cISAggKamJry9vXn55ZeFBLCoeT3rI15Ugbe3Nx9//DHffvstmzZtwtTUlIKCAlq3bs2iRYsAcWzyTyieKWFhYTg5OZGSksJvv/2GXC5HLpfzzjvv4OrqquQolUdMholEPL3a+La2tgwZMgR4sIK3qKiIs2fPCqsaVLlD+nc4Ojoyc+ZMSkpKyMjI4ObNm3Tv3h0tLS0WL15Mx44dhUGQMmRnZ9PY2EhWVhYrV67Ez88PDw8PvL29CQsLo1u3bkqLrbldu3aN2NhYioqKuHPnDn5+flhbW1NSUkJZWRlubm4YGBio/TX3d+Xl5eHt7U2rVq0YNWoUMpmMq1evEh8fz4ULF+jWrRsGBgYq2aFSfEeOjo44OjoSERGBXC4nKyuLq1evCqvwFANEkUgTpaenY2ho+MjuifDwcNasWSMmwp5QSEgIBw4cACA+Pp7Dhw+zevVqPvzwQ+rr63nnnXeA/5bwEamuTp06sX//fmpra4XVnWVlZezfv184r1UTJ6Hhv+9rx44d1NfXc+HCBW7evMnBgwfZsGEDvr6+SjsnNS8vjw8//BAAT09P7t+/L9xPYtv9/FH0u3ft2sX8+fMJDAzk6tWrXLlyhTNnzuDh4UFAQIBK9kn/Dm1tbU6dOsWgQYMIDAzk119/5f79+3z44YfCmFcTr3nFTuoDBw5QUFCAmZkZ27dvp0WLFrRs2RJvb2+MjIyeSSx/dSbl/v37SUpKEnZUqXJ7oLhPFEmw8+fPCwsXz58/j4uLC6Dez1DFPR4XF8fly5d5+eWXiY+PZ9asWYSEhPDhhx9iYWGh7DAF2traVFVVkZCQwP79+xk6dCjvvvsuP//8M4mJiRqdmFG2Z33Ei7Lt37+fgQMH4ufnx7Jly5BKpRQUFNCuXTssLS3R1tZW2zZS2dzc3DAzMyMkJAQTExMyMjK4dOkSDg4Oyg5NqbSaxJGuSNSsGhsbkclkGBoaUlRURE5ODlZWVty5c4cbN26gr6/P8OHDNeJB/nA5SE9PT5qamrhz5w45OTmkp6fj5+dHSEiI0houmUwGPDi3ISYmhoqKCkpLS4UO9ODBg+nYseMzj+tpkMvl1NTUCJPEBQUFyOVyHB0d0dHRoaSkBIlE8tx0IiZNmsT06dPx9/cnIyPjD6UwFeeEqXJysKmpSYhPVWMUiZ6GpqYmGhoamDdvHnK5nNdeew03Nzd2795NbGwsa9eufW6eZU9DQ0MDWlpaf5hMkslkxMXF0a5dO5VfQS76azU1Ndy5cwcLCwuN/h4Vz4ApU6YwevRounfvLrw2Z84c2rVrx4gRI575+8/JyaFv3768//77BAQE4OjoyJtvvsmuXbueWQwi1dPY2Mi8efOYMmWKsLtfQV3vUUVSIj8/n+nTp//hGq+srHwuFq8UFhaSnZ1NcnIyOTk51NXVUVtbywcffPCH71oZZDIZdXV1mJmZqU3f6dtvv+Xs2bO88MIL5OXlUVRUxGuvvUbnzp3V5j38GcU98/7779O3b1+CgoJYuXIlrq6upKWl0aVLF/r376/sMIH/PpdiYmI4fPgwb731FrNnz2bLli3cvXuXJUuWsGzZMmWH+dxQHPFy+fJlkpKSmvWIF2WrrKxk2bJl2NnZMWjQoOc+SdMcFM9JqVTKrl27yM3Npb6+Hh8fH9544w3Mzc2VHaLSickwkaiZHTlyhJ9//pm7d+8KW/yPHTtG69atadu2LVVVVSxfvlxtBz6/J5PJmDhxIsuWLcPGxkb4uSLZoEpkMhm3b98mIyODpKQkBg8ejJeXl8Z8F39Gk9/bX6murmb06NHs3bsXgD59+rB9+3Zhpd2vv/5KeHg4JiYmygzzb3n4+1Mkx9R1ACgS/VNSqZRvvvlGOH8zKiqKYcOGERgYqNYrg1VJY2MjjY2Nf5ocE4nUwdq1a6mtrWXmzJnAg3N8Xn75ZRYsWKCUPl5VVRV79uzh/PnzpKWlIZfLkclkvP/++7i7u+Pp6fnMdouIlE9x/aWmpjJ37lysra0ZP348tra2WFhYYGpq+si5jerkypUrrFmzhsLCQjw9PVm5cqXwWkxMDPv27XvkZ5rmr5IyWVlZSKVSoqKinrsxWHOpq6vj7NmzXLhwAWtra/r164ejo6PGfJ5vvPEGQUFBZGRk0LZtW1555RXee+89IiIi6NOnj0ol/OLj46mrq8PExIT169czdepUjh49yt27d/n0009VKtbnheKIlxYtWmjM55+SkiLsgOvQoQMeHh6YmJhgZmaGqakpxcXFyOXyR45hEf01xTh55syZODs788ILL2BmZsaWLVuwtbVl+vTpz31fVEyGiUTNbN68eZw4cYL33nsPLy8v/Pz8+M9//oO5ubkwUNcED2/z//7771m/fr2QAMvMzGTTpk0sWLBAafEpBp/V1dUkJCSQkZGBkZERPj4+eHh4qFQJAlHzOnHiBLt372b16tWkpKSwdOlSNm/eDEBpaSmvvPIK+/btU26Q/1BTU5Nwz2nKQFAk+r2mpibS09PJzs7Gzc1NOHy+srKSpqYmTE1Nxeu/mTU2NgL/LRH9PC6gEKm3W7duMXXqVG7evEmbNm1o2bIlAJ9//rmSI3tAKpUSGxtLXFwcycnJGrWaW/T35ebmsmfPHnJycrh79y4WFhbY2NjQv39/2rdvr+zwHktTUxPXrl3j3XffpaqqipKSElxdXYmIiCA3N5eAgAAmTpyo8YtXFO2oWMnh8Sn6HvX19RQXF5Ofn49EIsHJyUk4ykKT+icFBQWsXLmSkpISvvrqK7S1tRkwYAA7d+5Uud2UD3/uy5cvJykpCQsLC0aMGEGXLl00/v4WPTulpaXs2LGD+Ph4DAwMsLOz4969e+Tn5xMZGUnv3r3x8PBQdphqpV+/fhw6dEj474qKCt58800WLlz4XJ8XBuKZYSJRs5s/fz52dnZs2rSJIUOG0Lp1axISEoRDHzWlw6DoFGVkZAg1vOvr69HV1SUtLY26ujpAeYdcKjpue/fuZevWrbRu3RozMzMSEhKor68nODhYqKsu0iyxsbHCIdZHjx6lbdu2wmtXrlzB09MTUM17UXHdyuVyLl26RFNTE/7+/piamqpcrCJRczt9+jSbNm1CKpWiq6vLqFGjGDVqFFKplGPHjnH37l3WrVun7DA1yu/bZ02ZaBJpNqlUioeHBzo6Ojg4OLB7925SU1O5ePEi1tbWDBgwAFCNyVNfX198fX2ZNGmSsJobxEPgnxcJCQkEBQXh4uLC9OnTASgqKiIxMZETJ05QX18PqOf1oKWlhb+/P4sWLSIkJITKykqOHz/O6dOn8fb2ZtiwYUDznsetin7//hS7rZX97FEnirPMNm/eTFJSEmlpaXh6emJsbIydnR2RkZEEBQUpO8wnohh3btu2jaqqKj766COhSkliYiI9evTA1NRUpZ4F9+7dY/r06UybNo3Q0FAmTJhAcnIyfn5+wpm+4vhU1ByampqwtLRk8uTJREdHc+3aNe7du0f//v0xMzPD2NhYLJ/4DxUXF+Ps7MzOnTuJjIzE3Nwcc3Nz7t69+9wnwkBMholEzU5bW5upU6cSGBjI/v37WbJkCTU1NbRp0wbQnA6DooPfqVMnVq9eTWxsLF27diUrK4sDBw4QGRkJgLI3n8bHx/PRRx8REhJCXl4eeXl5pKamCqtKVKnDKWoe9fX1pKSkMGfOHBISEhgwYAA3b97ExcWFEydOEBoaCqjmpK8iphkzZqCjo0N5eTkVFRU4ODjg6enJpEmTVG7FoEjUXPbt20dUVBTfffcdt27dYsGCBcyaNYv09HSio6MJDw8HVDORrU6ampooLi7m7NmzlJSUEBgYSEBAgMqVNhaJ/sratWtZsmQJixcvxsLCgrCwMPz8/GjduvUjv6dq7by+vr6wy0Hse2q+oqIifvrpJ/z9/Xnttdfo0qULISEhtGnThoiICCIiIoTfVbfr4eHzSKqrq4Xd20OGDGHIkCGP/K6q3YfN6ciRI0RERDzSJ1G371IVKD6/vXv38vPPP/PKK68QHh5ObGwsly5dYsSIEYBqLHB4XIq4k5OT6du37yPl+j09PXnjjTcA1bl+mpqahPZ1165d1NbW0qtXL7p27ars0EQaSLEYWEdHBysrK7p166bskNSelZUVo0aNYvv27VRWVlJZWcm1a9eE8fTzPg8qjnpFoqekS5cumJmZsWbNGioqKjh69CjdunXDwMBA2aE1K19fX0JDQ5k9ezb6+vq4uroSGBgoDPCUMWFZX1/PF198gZubG3K5XEjIOTs74+zsTOfOnYWfPc8NgCaqr6/n448/5s6dO8TFxWFsbMzFixeJj4/HxcWF2NhYXn/9dUB1B+c3btzg5s2bQunRwsJCUlNTuX79+nNf21mk2fLz8/nwww8BcHBwICsri5dffplNmzYJv9PU1CQmwh6TYtBz9uxZ1q1bh4WFBU5OTly5coXIyEgGDhyo7BBFor9FcQ6Rk5MTv/32GwcOHEBXVxdvb29CQkIYO3as+JwQKZ21tTVLliyhrq6O0NBQEhIS2LlzJwYGBri4uNCnTx8GDx6s7DAfi2IctWPHDkxMTAgPD2fz5s0cOnSI3r17M2nSJLVOXPwvtbW1aGtrc/HiRfbv30+fPn2E1+rq6sjNzcXb21uJEaoXxXWSmZmJRCJBT08PuVzOmDFjGDNmDJMnT8bJyQlQ3bHb36GYczAxMSEmJgZHR0ecnJwwNDTEzMxMydH9kZaWFvr6+kybNo0DBw7w2WefsWXLFmbPni1e36Kn4uF+m7jD9vFduXIFCwsLPDw8CAsLo76+ntjYWExMTIiOjuaFF14A1Pt52hzEZJhI9BQFBgayfv16YmJi+OqrrzAxMSEsLEzZYTW7UaNGMW7cOHJycrh//z7+/v5KjaeoqIja2lpSUlJoaGhgzpw5DBw4EFdXVzw9PXF3d39kNZZIc8TExLBixQq+/vprYRWhXC7n+vXrXLx4kaioKJydnQHV6wAoJqpzc3OJjo7G3t4eeJDE9ff3p76+XpzcE2msnJwckpOT2bdvHwEBATg6OmJiYvKHcraqdt+qk4cnL1988UUGDhxIWVkZZ86c4aeffsLJyUntyxCJNN/DE+zjx49n/PjxwIPV9jExMSQmJjJu3DiNnYgXqQ9Fv87AwIBp06YJP09MTOTgwYMUFRUB6rnbWTGxn5CQwKZNm7hw4QJpaWkMHjyYmJgYgoKCCAkJUXKUT0dubi7nzp3jyJEj2Nvbk5ubi5aWFs7Ozly4cIHExERmzJih7DDVhuI5XVpaSq9evcjPz8fc3JyMjAyysrKQy+Xo6elpxC6GwsJCcnJyKCkpYfPmzbi4uGBvb4+zszPt2rVTdnh/acCAAfTp04dvvvmGhQsX8tlnn2FjY6PssEQaQNFXO3/+PIGBgRgbGwPigvXHVVxczOrVqxk9ejSenp7o6+sTGRlJZGQkNTU1jyysft77yGIyTCR6ihQrGrp164ZMJsPd3R1Q7y3+8N/BXVJSEocPHyY/P5/6+nr69u2rxsBZsAAAIABJREFUEisc7e3tee+99ygpKSE/P5/09HQKCgqIj48nJiaG0NBQ8bwwDdWlSxcyMzOZOXMmUVFRDBs2DIlEQkBAAAEBAcoO739SPBNOnz7N0aNHqampISoqCjc3NwwMDDRuV6lI9DAbGxvmzp3L+fPn2bp1K3K5HJlMxr59+/Dw8MDDw0MYIIkej2KytbGxkaCgIPT09LCxsSE6Opp9+/ZRU1MjvC4OQkWqStGHzsvLIyYmBisrK/z8/P7QzqtzP1ukGRTP0cLCQvbt24ePjw9t2rShXbt2j0x8q1siDB7cX7W1tVhZWREXF8ehQ4eIjo6mZ8+e7Nq1SzhPWhNZWFhgYmLCnTt3MDAwYO3atZiamuLi4sIvv/zyyGI8dfxulSUkJITg4GC0tLTo2LEjy5Yto66uTiiXpuyjF55UY2MjdnZ2fPHFF0Kp6hs3bnD58mWCgoJo166dSs0RFRYWsmTJEgwNDTE0NOTKlStUVFSgpaUlnBcmEj0pLS0t6uvrWbZsGTt37lR2OGovNjaWli1bEhkZKTwztbS0qK6uZufOnTg4ODxSovl5JibDRKKnSDEI0tXVJSoqSvi5qnRyHpfifS1btoygoCAGDx5MQ0MD27dvR09Pj/79+ys1vsbGRgwNDcnLyyMoKIgOHTpw//59CgoKuHHjhnhemAYzNTVl8uTJuLu7s3fvXmpqanjzzTfR09NTdmj/J8VzITIyEmNjYxISEoiJicHQ0JCWLVvy0UcfqWQZDZGoOSh2gSkWKkilUmJjY/nll19ITk5m2rRpTJgwQclRqr+ioiLq6up4//33mTx5MnZ2dmhra1NXV0fnzp0BcTWmSLUprs9///vf6OvrU1hYSFVVFTY2Nri4uDBr1iysra2VHKXoefdw0nbJkiU0NDSwbNkyDAwMcHV1pVu3bsycOVOtn7cGBgYMHTqUlStX0rlzZ3r27El8fDxaWlrY2tqq1MR+c7Kzs2P48OG4ubnh5ubGjRs3uHr1KtnZ2YwaNYoBAwYA6pnkVCaZTEZ5eTkSiYRBgwbh4OBAUFCQUClD3T9PbW1t6uvrSUxMpKKigjFjxgAPkk5yuRxQrQXTxcXFeHh4IJfLcXd3Z+zYsdTV1WFmZoaOjo5KxSpST4pr6NatW/j6+gLi/NyTOnHiBL169QIefJY6Ojo0NDQIC0ovXbpERESE+DkjJsNEomajeKDEx8fTsmVLoba1gqZ1GG7evEllZSUzZ84EHrx/ExMTvv/+eyIjI5WafNDW1qa6upovvviCNWvWIJFIMDMzw9fXF3t7eywsLITfE2kePT09+vXrh5OTE6tXryYiIoJZs2YpPUn7d4WFhQnlVHNycrh27RqZmZliIkz0XPH19cXX15dJkyYhk8morq4GxEHSkyovL8fd3Z3i4mL2799PeXk5hYWFREREkJCQgJ2dHQ4ODsoOUyT6n3JzcykrK2Pv3r0AVFRUcP78eU6ePIm5ubmSoxOJ/jsJdfr0aby8vOjWrRt2dnZMnz6dqVOnkpeXh7a2tlq3aVpaWvTr149+/foJPystLRX624rPQJMoxvMNDQ14e3tTWlqKh4cHnTp1UnZoaunhEvG7d+9m48aNhIeHs2bNGqytrdHW1laLBY1/R319Pe+//z6mpqZcvHiR8PBwKisrKS8vp1WrVoBqzU20bt2aNm3a/OXrmjSvJVIORRtx/Phxzp07x2effca4ceOEswNF/5yRkdEju2jlcjmNjY0AJCUlCTttRaAzf/78+coOQiTSFFpaWnzwwQeEhoZibW2NXC4XOjWa0mFQDAKysrJITk7Gx8cHMzMz9PT0aGpq4tChQ4wcOVIoEfmsKf7e2NhYcnJyGDZsGA0NDWhra5Oens7y5csfOehYpBn+LNlsZ2fHoEGDsLOzY/Pmzejq6tK6dWslRfi/KeKvrKxk7969fP311xQWFtK6dWuCg4MJDg7WuAkFkejv0tHRwdDQENCctlQZGhsbsbKyomvXrkRGRhIYGIi9vT2Ghobcu3eP2NhYJBKJeDC6SGUp+nh5eXk0Njbi7++Pjo4ORkZGeHl5ERERIbaVIpWgpaWFlpYWGzduJDo6muPHj2Nvb09YWBglJSV07NgRDw8PtV4smZmZyc8//0xBQQF1dXXo6Ojg6enJCy+8gLa2tkpN7DcXRfLm22+/ZcmSJZw7dw6pVMrVq1fJzMzExMRELCH3DynuE4lEQrdu3airq6N79+589913XLp0ifbt2ys7xCeiaLfi4uLIyMhg1KhRJCYmMmrUKAoLC1m+fLmwm1CVXL16lYULF5KXl0dDQwMtWrRAX19f2WGJNIiijaipqaGpqYkrV66wbds2zp07R0pKCr6+vmKJ/H/I1NSUb7/9lq5du2JmZoa2tjY6OjpUV1ezevVq3nnnHYyMjNS239GcxJ1hIlEzUdRidXBwwNbWFvjvdn5NqhmueHAGBwfTrl07Nm7cSK9evcjKyuLq1av07dsXUF5db0V8eXl5WFlZAQirIaRSqbDKRJO+E9GD7z0mJoa6ujouXbpEWVkZVlZWJCYmUlJSQkVFBTk5OYBqf/dz5sxBIpHg5ubG0aNH2bhxI0uXLhXKl4lEItHj0tbWJjExkfPnz3P79m18fHwYMGAAERERlJSUcP36dTw9PZUdpkj0lxR9vO+++44TJ05QVFTEiy++iKurK+bm5uJEnUhlKK7VLl264OTkhJGRkTAe2bdvHx999NEjv6cuFMm73NxcPvvsM3R1dVmzZg2Ojo7o6OjQu3dvZsyYoewwnxrF+GHv3r0sXrwYHR0drl+/TmZmJqdOnSIwMBDQvIowT4tMJsPAwIArV66watUqPv/8c2HnQmZmJn5+foBmVAVITEykZ8+ewmJHgCtXrgiT/aowPlV8zhcuXOD777/HwcGBVatWYWxsjFwup3fv3ixevFipMYo0z8NVcQoKCjh37hxHjhwRn6GPwd/fHxcXFwYOHEjHjh3x9PTE1NSUCxcu0Lt3byQSidg+/X9iMkwkakYZGRkcPnxYWO3TsWNHfH19ld6xaS6NjY2kp6fj5uaGoaEhEydOZMeOHRw9ehRLS0uGDh0qNGTK6rAqHuwRERFcvnyZnTt3MnToUOLj49m3bx/R0dGP/J5Ic2zatAkTExOCgoIwMzPD1NSUefPmoauri7a2Nq6uroBqlaBQ0NLSoqKigps3b7Js2TIhaRsTE8OOHTto166duDJKJBI9FsXkRnJyMgsXLsTb25uAgAChBOsHH3yARCKha9euyg5VJPqfFH23f/3rX4SFhXHy5EnmzJmDnp4eNjY2fP7558JCKJFIWRQTTffu3cPb2xtLS0uioqJ47bXX2LZtG506dRJ2u6jbeERR1urUqVP4+/sTHh6OhYUFs2fPZubMmRQVFaGtra3Rk23FxcU4OTkJiRrFWTfl5eVCSXNNfe/N6d69e6xYsYJFixYREBBARkYGaWlpfPrppwCkpaXxxhtvAOr9eSrGna6urty6dYvjx4/z9ttvA3D27Fkh+acK71GxmDk2NpbevXujr6+Pra0tkydPZubMmcIxIKqQuBOpN0UbcffuXU6fPk1iYiIhISEMHTqU4cOHM3z4cGWHqJZMTU1ZsmQJly5dIi4ujvT0dCorKxkzZoxYHet3xGSYSNSMHB0dWblyJcnJyVy5coXDhw9TVlbGlClTGDp0qLLDe2I3btxg9erVODo6YmdnR5s2bXjxxRd55ZVX/vC7yu7QOTo60rNnT77++muWL1+Or68v3bt3p0ePHoBqJkREj6+4uJhVq1b9rdIkyr42/8qNGzewsbF5pEa2l5cXt27dEhNhIpHosSkmN44dO0afPn2YOHEiVVVVtG/fnqVLl7Jjxw5eeukljVh5LdJciomT6upqLCwsGDJkCEOGDAEgJSWFc+fOiYkwkUpQXKs7duxAV1eXoKAgPDw8OH36NJmZmbRs2VLZIT6xS5cuMWHCBI4ePYqXlxempqa0b98eOzs7QDN3RinayJycHMrKypg3bx6DBw+mZcuW2NjYYGFhobTKKOooNjZW+Ly6d+/OwoULqa+v58svvyQ/Px8XFxecnZ0B1R27/RNDhgxh6dKl5Ofnc+rUKTZs2ICtrS29evUCVGNuQvE5Z2Rk8PLLL7N8+XJhobOVlRXBwcGAasQqUm+KhRXr1q3D3Nycy5cvCzsm9+zZg4eHBwEBAUqOUn21b9/+T4/Z0MS2+XGJyTCRqBlZW1vTrVs3YYVPfn4+SUlJwoNd3SeajI2NiYiI4N69exQUFJCWlsbu3buxsbHB1taW9u3b/8+DVp81xURJeXk5lZWVODo6Kjsk0VPy448/YmZmxvjx44VymOpS7kvRKWnTpg16enqMGzeOUaNG4ezszMmTJ/Hy8gLEVXgikejxKPodTU1NGBkZAWBiYoKnpyf29vbC74mTeCJ1sGPHDtauXUuXLl0IDg4W+p5t2rQRB/kilVJXV0fbtm0f+Zm69E3/iqIfGhUVhYuLCy1atKCkpIT8/Hx2797NggULAM1IXvyeoi0tKyvDy8uLkpISfvrpJyQSCWZmZkRGRuLj46PkKNXH2bNniYiIACA0NJQvv/ySvXv3UllZiYuLC+PGjQM0Z/K2qamJWbNm0aNHD06dOsXIkSPp1q0bBgYGyg5NoLjGo6OjMTY2xsfHh4yMDHJycjh69KiwAFoTvg+RcinakuTkZHbu3MmNGzeE5NeuXbt47bXXAM25/5Xhz+aNxM/yv7SaxJGvSNQsamtruXDhAmvWrEFXV5devXoRHR2NpaWlskN7Ku7cucOdO3fIy8sjJyeHzMxMRo4cSadOnZTWaCmSjVevXuXXX3+luroaNzc32rRpg5WVFba2tkL5CpFmefnll3nnnXcICgpi1qxZDB06lE6dOgEPdkN4e3vj5uam3CD/hpKSErZu3Up2djbx8fEMHjyY0aNHY29vr/bJdJFIpDwymYx3332Xa9euMXz4cDw8PCgvLycmJob58+fj4OCg7BBFov+Ton+pKP/y22+/IZVKsbS0ZNmyZQQFBSk7RJEIgIaGBoYMGcL9+/cZN24c3bt3V/tEWHV1NTU1NbRo0UKYZCspKWHatGk0NDTQrl075syZo+Qon52amhri4+NJT08nOTmZGTNm4OHhIU7e/k0dO3aksbGRgIAAunbtSmRk5CMLdDSBYuyWlZXFmTNniI2NZcGCBdjb2wvXiaqM78rKyqirq0MikQhVSgoKCpg6dSo1NTWMGjVKSFCIRM2hsLCQefPmsWjRIl5//XV27NgBwODBg9m6dSsmJiZKjlCkycRkmEj0hBS7NXbt2sWhQ4cYPnw4ZWVl7N69m5YtW7JixQqN6BDX1dVx6tQppFIpnTt3pn379hQVFaGjo4OlpSU3b97E1tZWWHWuTCNGjGDQoEGsWLGCoKAgrl27Rps2bfjkk0/E3WEa6P79+0yaNImffvoJgIEDB/LDDz/QokULAEaNGsX8+fOFmv6qJC0tjb179zJz5kwyMjKEnZX19fXo6ekJ/xSJRKInUVNTQ0xMDLdu3SIzM5PS0lKysrLo0qULbdu2xdnZmdDQUGWHKRL9Y+fOnWPz5s18/PHHtGzZUpyIFqmE+/fvc+XKFRITE7lx4wZ3796loaGBF154QW0TRqtWrSIzM5P27dvTsmVLHB0dcXV1xdjYmMLCQqFEoiZSPFcqKytJSkri8OHDtGrVipdeeknZoaml9PR05s+fz6JFizh69Chnz57lxo0bGBkZERAQQHh4uFAGVxO89NJLDB48mK+//po1a9bg4uLCzp07iYqKwtraWtnhAbBixQpycnIICgrCy8sLe3t7XF1d0dXVfWQ8KraxouaguI62bdvGkSNH0NfXZ/369Xz55Zdcu3aNdevWqUyiWKSZxDKJIlEziYmJYeTIkfTu3RuAkSNH8vbbb3Po0CH69++v5Oie3PHjx9m2bRsSiYT4+Hg6duzI1atXqaqqom/fvowdO1ap8Ska1IyMDMzMzHjppZfYt28fGzduZNeuXRw5ckQjavSL/ig2Npbi4mIApFIpjo6OQiKsqKgImUymkokwABsbG/r378+NGzeIjo7GwcEBPz8/evToQadOncSJPZFI1CyMjIwYMGAA8GCXWGlpKWlpaVy8eJHjx4/zwgsviMkwkcpSTIgUFRVRWVmJnZ0d+vr66Ojo4O3tjZmZmdDHE9tLkSq4dOkSDg4OzJgxg5KSEuGZq5hQVsfS17m5ufz222/o6+uTnp5OfX09lpaWuLu7Y29vj5GREebm5soO86lQnG+zc+dOMjMzKSwsFM7zPX78OBKJRDhPSfR/O3HiBH5+fri5uTF58mQmT55MRUUF165dIyYmhpMnTzJkyBC1HgMpYs/KykJPT4+hQ4eybds2WrVqhVwuZ/v27YwYMULZYQp69+7NhQsXSE5O5vjx4xgaGuLk5IS3tzdt2rTB398fXV1dtf0+RKpFcR117NiRnJwc9u/fT5cuXRg4cCBvvfWWkqMTPQ/EZJhI9IQUAxljY+M/7IqqqKgQBufq3JkDOHnyJGPGjKFfv35Mnz6d9PR0RowYQXFxMQcPHsTHx4f27dsrLT7F5xsfH0+7du2Ij48XSlS6ublhaWmJjo6O2n8Poj/S0tLCwsKCsWPHkpeXh0QiITk5mYCAAK5fvy7U71fFiQeJRIJEIuHu3bucP3+eGzduEBcXx86dO5k9ezb/+te/mDhxorLDFIlEaqqurg4DAwNkMhnp6emYm5tTW1uLVCqltLSUqVOnUl9fj0wmU3aoItFfksvlaGtrs2vXLtatW0dQUBBBQUH4+vpy/Phx6uvrhd9TtXZe9Hy5ffs2RkZGrFmzhuXLlwP/7euVlpbi4eEB/PlZHqpu+vTpGBoaIpVKiYyMxMPDg9TUVC5dukR5eTmffvqpskN8ahRjxxMnTvD555/z5Zdf4u/vDzxYENu2bVuCg4PFcebfpK+vLywgVjy3zc3N6dy5M507dxZ+TxM+yxs3bhAYGEh8fDyurq4AJCQkYGtri4GBgcrsfmnbtq1wxqFiB2R8fDxxcXEcPHgQAwMD/v3vf6t9uVeRarG3t2f8+PG88847VFVVYWRkJMypqsJ9IdJcYjJMJHpCik7vwIEDmTlzJv369cPLywtdXV3KysqEVWLq3pnLzc0VzmIoKipi/vz5QpIhJiaG0tJSAKV16BR/Z1hYGHK5nJqaGoyNjfnll184cuSIMGBRrOwTaY6ePXvSoUMH7t69y7Vr10hOTuazzz6joaGBxMRE5s6dC6j2Pbhy5Urmzp1LSEgIISEhAI+sOhUH1yKR6J/Kz89n+fLl5OTkYGJigpWVFRcvXgQgIiKCjIwMhgwZgoWFhZIjFYn+t7fffht3d3ciIyPp1KkTUqmUixcvcvbsWXr27EnPnj0B1W7nRZqvtraW8+fPc+7cOe7du0dqairFxcU4ODjQsmVLvvrqK1asWKHsMB+bi4sLCxYsEHYUu7m5MW3aNGpra8nKykIikSg7xKdGW1ubhoYG9PX10dPTIzU1lXfffReA7OxsJkyYoOQI1cv48eOFf9fUcbmiPfL39yc5OZkFCxYwaNAgpFIpu3btEuZVVOXUmsbGRuBB3KampoSFhREWFgY8OBtww4YNfPfdd3z88cfKDFOk5hRzGoWFhXzzzTekpKTg4OCAubk5Y8eO1eh2RKRaxGSYSPQEHk78hIeH8+OPP3L06FEuXboEwOeff46WlpbaT2Tn5OSQnJzMsWPHcHZ2pqamRkiEAdy9e1eYwFdGIqyhoYGUlBQcHR1xcXERfh4cHMz+/fvp0KED0dHRSotP9HQZGBjQ1NSEt7c3rVu3Zvjw4ZSXl5ORkUFSUhL9+vUDVG+SrLKykoSEBNLT00lNTcXQ0PCR1/fs2cOUKVMA1YtdJBKpvqSkJA4dOsQbb7xBly5d8PPz4+LFi6xdu5ZPPvlE2eGJRH+LXC6na9euXLp0iffeew9DQ0MCAwPp0aMHnp6eODk5YWpqCoh9PJFy6enpERQURHJyMhYWFpw+fZr6+nqsrKyora2ltLQUCwsLtRsXPhxveXk5oaGhFBcXM3fuXBITE3n77bfx8/NTu/f1TzU1NdGnTx+WLl2KkZERTU1N7N69G7lcjpeXFyD21/8uVdkN9SzY29vTq1cvcnJyhJ1WoaGhjB49GlCdduv3cTycHJNIJHTt2pXY2FhlhCbSIIqF6du2baOiooIpU6agq6vLkSNHmD9/PgsWLMDZ2VnZYYqeA1pNqrIUQSRSQ1OmTGHJkiWcPHkSNzc3YYWPpqmqqmLPnj2cPXuWzMxMysrK6NGjByEhIRgbG7Nt2zZ++OEHpQ2Cjh07xr///W/69OmDpaUlzs7O+Pj44OfnB2juijPRg0To4cOHiYmJITExEVNTUyIiIoiOjsbJyYmGhgZ0dVVz3cedO3c4ceIE3333Hbq6uvTp0wdzc3MCAwPJyMjg1KlTfPXVVxo/uSASiZ6eAwcO8N1339GxY0dmzJjBggULsLa2Ztq0achkMvT19ZUdokj0j6SlpXH69GnOnTtHfn4+urq6REZG8uabb/5hUYlIpAwlJSVC/zMxMRGpVCqcKeXj46OWiYClS5fSokULcnJykEql9OzZk6ysLCwtLZk6depzs5q/rKyMFStWcPbsWTw9PTExMWHIkCGEh4er5feqbI2NjWhpaWn0OEcul1NfX4+BgQE5OTlYWFio/P3yZyWHS0pK0NbWFs7lFokeh2JeY/r06bz55puPnOs+bdo0oqKi6N+/vzj/IXrqxGSYSPQEbt26hYODA1OnTuXatWs0Njbi5+dHWFgY4eHhQl1oTZOSkkJMTAzx8fEkJSUxcuRIZs+erbSzGk6fPs2nn35K69at8fX15e7du1RUVGBiYoJEIqFz587CzjWRZtm4cSPx8fF4eXkRHh7OtWvXiIuLw9jYmLlz52JnZ6fsEP+nyspKNmzYIJRdycvLo6amhsLCQgYOHMiIESPEM1BEItETkUqlfP/999jY2HDgwAE2b96Ms7OzONAUqY2mpiaampr+dOX6lStXWLt2LS+99BI9evRQUoQi0QOamBDJzs4mKioKOzs7Jk+eTNu2bWlsbNTYRaB/5fTp0/j6+mJnZ0dJSQm3bt2iVatW6OnpKTs0jaEp/RLF2O3ixYucO3eOmzdv0qJFC/z9/XFzc6Nt27YYGBgoO8w/qKurQ1dXVxx3ip4quVwunDE5btw4JBIJpqamDB8+nMWLF+Pp6akxzwKR6hKTYSJRM2lqaiIpKYm4uDhiY2MpLy/n8OHDyg7rqZPJZNTV1WFmZqa0AWBTUxMxMTGsXbsWV1dXBg8ejL6+Punp6UilUoYOHUqHDh3ERlUDRUVFsX79+ke20xcVFTF16lR69OjB66+/rsTo/rnS0lLy8/NxdHTEwsJCHIyIRKJmkZeXx4YNG9izZw/Tpk1j9OjRmJmZKTsskeixKMo3Kfqcn3zyCUFBQQwYMECZYYlEf6AJO1+qq6s5fPgwly5d4vLly5iZmeHt7Y2/vz/BwcG4uroKZ9xqqpqaGt5//31KS0tp1aoV3t7etG3bFisrK1q2bCmOMR/DqlWr8PX1xcnJCRcXF6HcrSZQzImMGTMGX19f2rZtS0lJCXl5eWRlZTFp0iTCw8NV4rpRJO6Sk5OJjY1l48aNvPfee4wZM4aKigrMzc2VGp9I82RkZPDOO+8gl8sJDAykRYsWZGdn4+HhwbRp09DX11fZyj4izSEmw0Six/Rw5yUjIwNLS0usra2F1+vq6oSzjJTdyXme/PDDD5SWlhIVFYW3tzelpaWYmpqKq/Y0UEpKCp9++umflujMyspi6dKlrFq1SiXLgCniLS0tJTk5mfT0dAwNDXF3d8fb2xszMzONn1gQiUTP3vXr11mxYgUdOnRg8uTJyg5HJGoWBQUF2NjYqGR7L3o+KCa/MzIysLKyUvkyaE8iKSmJM2fOcPnyZZKSkpg2bRoTJkxQdlhPheJ7jYuL48cff8TS0hJHR0eSkpK4e/cunTt3JioqioCAAGWHqhYU45/c3Fxmz55NUVER7dq1w9DQEDc3N1q1akX79u01YtxeV1fH9OnT+frrr4EH1UBKSkooKCggICAAExMTJUf4gOIanzhxImPGjGHr1q0MGzaMvn37snz5crp3705wcLCywxRpCMX1Vl9fT25uLhcuXCApKYmcnBxatGhBy5Yt6dWrF926dVN2qCINJ6ZbRaIn9Pnnn5OWloZUKsXY2JjQ0FA6depEnz59xETYM9LY2EhWVhZ2dna0bt2ajz76iL1797Ju3Tq8vb2VHZ7oKYmNjcXFxQWA+vr6RybB7t+/T1lZGfr6+ip5HyoOj/3xxx+5desWSUlJwsRJY2Mjo0aNYtCgQUqOUiQSaQrFTho/Pz8mTJiATCYD/vxcCJFI3Tg6Oio7BJEIgM8++4zXXnuNTp06aWTJRIDA/8fencZFXe7/H38Nwyqr7DvDIiqIKJtSoiaI5l6audTR0szMLMuy/We2nMyO7XW0XdPKLNfKxB1MFFFBIFAWAQFBUUBkh/nf8DFTnjr/Ux6P3xn4PO/JzI03Mst1XZ/r+lzh4YSHhwNXOoQ0NDQAnbNFpG7f+NatW7njjjuIj4+nvb2d06dP8/7771NSUsLy5ctZsmQJgYGBCqc1fLr5z/fff09UVBSRkZE0NTXxww8/8N1339GrVy/Ky8uZNGmS0lGvme59kJ+fT11dHfv37ycuLg4bGxtsbGz0c1dDYWJiQktLC+fOnWPYsGF88MEHREdHA5CSksL48eMVTig6E93r7cyZM1RVVREXF8f06dOpra3l+PHj7N27l9bWVqVjii5AimFCXCOVSsWFCxfYtGkTq1evxtramhMnTnDgwAFef/11YmJicHJyUjpmp7d06VLOnz+PVquluLgbyaejAAAgAElEQVSYQYMGMWnSJC5cuCAXqXdyhYWFFBYW8u677+Lj44O/vz9OTk54eXmRnJzMwIEDgV8nXoZEt1hw4MABPv/8c55++mlGjBiBWq1m1apV+vsGO+PCghDixtJtCNBtCoiNjdU/ZmifjUIIYYx0YzVbW1v9GK4rjN/Mzc31m9E64++r+46sqqri4sWL+p8HBgbS1tbGokWLWLVqFQUFBVIM+xN0r5H9+/fz6quv6t8riYmJPPXUUzg7O7N9+3Z69+5NaGioklGvme53vHDhAnClQL5582a8vLwIDAwkLi7O4E6OlpeXExoaytGjR7G0tMTJyUmfX17X4nqqr6/nzTff5ODBg/Tv35+WlhYGDBjAxIkTGTJkiJwIEzeMFMOEuAa6BeqKigqmT59OQEAAHR0dJCQkkJCQIAvYN9CBAweoqanhzjvv5Pbbb8fMzIx+/fp1qr7j4o898cQTHD58mKNHj3L06FFaW1txcXEhPDycH3/8kRdeeAHA4E6FwZVMNTU1NDc3o1KpKCwsJDExEYB169bh7e0NdM6FBSHEjfWvn4FtbW3Si18IIa4T3YaDgoICKioqWLp0Kffffz8eHh7Y2dlJ2+tOQNfuztraGo1Gw/Hjx8nLy8PHx4eioiIeeeQRpSMaBZVKRUtLCy4uLvzwww/cfffdWFhYYGZmRm5uLhs3buTuu+82yLnbn3XhwgUcHR256aabCA0NpaioiPz8fEpKStiyZQteXl44OjoaTOcSrVaLRqMhMjKSxYsX07t3bzZt2kR6err+BKh0ERD/Ld366E8//UR1dTVff/01586d48iRI3zxxRe4uroSFxcn66jihpGZsBDXQNcyYePGjSQnJ6PRaLj11lv1j8sH+I3z/vvvc/z4cX7++WeOHTuGtbU1O3bsoGfPngQEBDBw4ECDGGiK68/JyYlbb71V/94rKCjgyJEjHDt2DGdnZ6KiogDDfT92dHQwb948mpub0Wg0fPDBB9jZ2XHhwgU5VSqEuGa/XWA5ceIEWVlZxMfH4+rqCiCFMCGEuI50n7ft7e2EhIRQXl7OihUrcHNzw8PDg2HDhtG/f3+FU4q/Srcou2/fPlpaWoiLi+PTTz/FxMSE4OBgFi1axNmzZ2lubsbNzU3puEbD3NycefPmsXz5cioqKvD19SU7OxsPDw/q6+upqakhJCRE6ZjXpLKykh9//JG7776b7777jtDQUHr16kVkZCQtLS1UVFTo2/oawvqEbrz42WefMWLECBoaGsjKyiIlJYU+ffpw2223AYY7lxbGJycnh5iYGH3bUH9/fy5cuMCxY8eIi4tTOp7oQlRa3aq+EOIv27FjB5s2bSI7O5u2tjZ69uxJREQEs2bNwsrKSul4XU5DQwMZGRn6k0LOzs4sW7ZM6Vjif0Sr1ervwfnX3WrGtqsoNTWVNWvWYGdnR//+/Zk8ebLswhNCXBPd4saLL76ISqViz549vPnmm/Ts2ZOsrCx69+4tYxQhhLiO/vWUR3FxMenp6ezdu5fx48cTHx9vdGPTrk7391qwYAF/+9vf9JvsqqurMTMzw87OjoaGBs6fP29w90AZg9OnT7Njxw5KS0uJjo7m5ptvpqKigk2bNvHss88qHe+alJWVUVNTg42NDX//+99xcHDA3NwcT09PNBoNYWFhBnfH5YULF5gyZQo7duwA4Ny5c1hZWUmXHfE/sX79epKTk3nooYfQaDS0traycOFCpk2bxtChQ+V7UtwwUgwT4jpoaWmhoKCAAwcOsG/fPj766CMsLCyUjtUlaLXa392HonP58mWsra3lS7WT+teFB91rAYxjB9vSpUuZN28ezs7OwJWFE29vbymACSH+a7W1tdxzzz3885//ZNasWWzYsAELCwtmz57N8uXL6d69u9IRhRCi02hvb2f//v0cOXKEjo4OFi9erHQkcZ28/fbbBAUFkZiYKCerr4PKykpycnJQqVT07NkTV1fXq+Y+nWXeXl5eTnFxMSdPnqSiooLi4mJuvfVWxo0bZxAtEnUZsrOzWblyJYsWLcLb27tT/N8Lw7Z06VJycnLw9/entrYWa2trXnnlFczMzJSOJroQ+TYX4i/SDRwaGhr46aefOHnyJKNGjSIsLIzevXsze/ZspSN2Kf9aBOvo6ECr1aJWq7G2tgaMozAi/jqVSnXVZOKPCqKGRpe3pKREf3pR9zNPT0/27NlDQkKC0jGFEEZK93ly7Ngx+vfvj6mpKY6OjlhYWFBQUMDFixelECaEENeJbuE+JSWFjRs3Ym5uTn19PQDHjh2jqqqKESNGKJxSXKu8vDw+/PBD3N3dqaqqIjo6Gh8fH+zs7JSOZlR0Y5OKigruv/9+nJ2dcXd3Z9u2bVhbW+Pi4sIDDzyAWq026nm77vdcvXo1vXv3JigoiIEDB9La2kpxcTEuLi5KR/wd3f13S5cuJTExEXd3d9zd3dFoNJibmysdT3QCGRkZnD17Fn9/fzw9PXn++ef1bdx9fHyIjY2VzcDihpNimBB/UUdHB2q1mhdffBEvLy/WrVtHWFgYYWFhbNmyhejoaDw8PJSO2WWpVCqjHkSL/+zs2bN88cUX7N69m4EDBzJz5kyjaU+imyQlJyfr749ob2/H1NSUQ4cO8emnn5KQkGAQOwaFEMbLysoKBwcHXn75ZW666SYA9u3bR+/evQG5DF0IIa4HXUeCXbt2MXXqVCorKyksLAQgLS2N0tJSRowY0WlOu3Q1PXv25Ouvv+bw4cPs3r2bdevW0dHRwV133cXMmTOVjmc0dPOa/fv3ExERwZIlS8jNzaWkpISCggLMzc1Rq9VGP/9RqVRUV1ezd+9e1q5dS9++fXFwcKB379707t1bv1HXEH5HXYabb74Zb29vfvnlF9LS0mhvb6e9vZ1HH30UPz8/hVOKzmDv3r3k5ubi7OyMo6Mjfn5+9OrVizFjxnSa974wPlIME+Iv0i0e5ebm8ve//520tDTCwsIA+Oyzz/D395dimILkS7Tze/PNN7G2tuaee+5hy5YtLF++nNdee80o7sDRvT67d+/O+fPnOX36NJ6ensCVnXkxMTHAr0V3IYT4K3SfMQMGDCA/P5/NmzdjamrKokWLaGpqYs6cOVc9TwghxLXTjdVqampwdHRk9erV3HPPPQDk5OTIqTAj9corr9CzZ08GDhxISEgIISEhzJw5k9bWVpKTk7G3twdkY8lfVVVVpV836dWrF7169QKgsbERMO6xie61sGvXLry9vRk3bpz+3lZdETA2NpZx48YpHfUqGo0GW1tboqKisLa25tSpU6Slpennp0L8tx544AEKCwvJysri9OnTpKSksG/fPhwcHLC3t+fee+/FwcFB6Ziii5FimBDXIDc3Fx8fHxobG2lpacHHx4empiba29v1Azxx4+gGn++99x5Dhw4lNDRU6Ujif6iwsJC3334bd3d37rjjDmbMmMHp06fp3bu3we8q0mVLSEggNTWVzz77jPDwcFJSUqitrWXRokWAtPYUQvx1NTU1ZGZm4ufnh4uLC1OmTCEsLIw9e/bg6urKyJEj9S0S5TNGCCGunzvvvJMNGzZQXFxMSEgI33//PaWlpfqTufKZazxaW1vp6Ohg7dq1LF++HBcXFyIjIxk1ahQxMTEMGzZM/1wphP05utf/uXPn+O677ygtLSU8PJyAgAB8fHyMYkPjf6Kb4yUlJTF//nzCw8MBGD9+PM8//zwmJiZs3LgRjUZD3759lYyqP6mam5vLd999R0lJCa2trQQHB/PAAw8wbdo0RfOJzsXc3Fxf/O7o6KCtrY3MzEzy8vIoLi6WQphQhBTDhPgLdAvtGo0GPz8/Zs+erT8F9s033+hbtUkrjBtLNxH58ccfue222xROI/6XTp8+TV1dHY6OjrS3t2NiYkJdXR3BwcGAYe8oPHfuHB0dHbi5uWFubs4jjzzC+vXrSUtLIzg4mFtuucUofg8hhGE6cuQIX375JRqNBicnJzQaDT179mTevHmYmpr+7p5FIYQQ1+63n6fR0dGkpqZy6dIlJk6cSJ8+fbj//vuxt7eXz10jY2ZmxrPPPgvA5cuXOXDgADt37uShhx5i6NChvPrqq/L3vAbNzc1ER0fj7e1NeXk5P/30EyqVCicnJ/1mQGOmW/uxsrLi4MGDBAUFYWFhgampKYWFhXz44Yc8/vjj+jsFlaRr77py5Up8fHyYOnUqtra2rF27lg8++IAFCxZ0igKlUJ5uXTQ7O5vjx4+TlJTEjBkzuOWWW4iKilI6nujCpBgmxF+gG/haWlpy6623UlJSwrlz54iLi2PIkCH69kPixistLcXJyUmO9HdyFRUVnD9/nilTphAUFIStrS02Njao1WqDL0IfPHgQPz8/ysrKOHDgALGxsdx1113Y2NjonyMLJkKIazVo0CDs7e3Jz88nPz+fkydPsmPHDpydnXFwcCAxMVFfcBdCCPHf0Y3XXn75ZW6//XYee+wxHnvsMQoLC+nevbv+JK6M64yL7s4ktVqNtbU1iYmJJCYmUldXx4svvsj+/fsZMmSI0jGNRlpaGr6+vtja2pKYmIiFhQV1dXWUlJSQnZ2t39TaWeZADz74IMuXL6e2tpbAwEAyMzP190OXlJQQHR2tdET9/3leXh5vvPGG/udBQUHMmzePqqoquS9MXFfvvPMOsbGxXLhwATMzM+DKFTNDhgzB399f4XSiK5JimBB/Un19PUeOHGHgwIFYWloSEhLCa6+9Rk5ODs7Oztjb22NnZwdIKwwleHh48MILLwByMq+z6ujoIDY2liNHjnD06FH27NlDTk4OZWVlTJs2DQ8PD+69916DbZMZGRmJl5cXW7dupaysjPXr16NSqXB1dcXBwYHRo0fj7u6udEwhhBHSarWcPXuW6Oho/ULLhQsXyMvL45dffiEjI4NRo0bpn9sZFpyEEEJJv/zyC56enqSlpbF48WLgSiElICCA7777jvj4eP3dUsJ4qNVqfbFA19Krra0NOzs7WltbaWpq0j8m883/LD09neDgYNauXUtlZSU9e/bE398fPz8/QkJC9P+HnWVc0rNnTxYuXMi2bdv0d4Xde++9lJSU4O/vry8EKK26uhofHx82bNhAYmIidnZ22NnZSSFMXFcmJiY0NDRQWVnJjBkz2Lx5s76F6Lfffkt8fLzCCUVXJcUwIf6knTt3smvXLv1x3sLCQnbu3ImlpSVjxozRF8LEjfPbBT1TU1M0Gg0gxcjOysTEhOPHj9OvXz8iIiKIiIgAoKmpiYMHD7Jt2zaDnaC2trbS0tJCTU0NY8eOZfDgwRQXF1NQUEBJSQk5OTmMHz9e6ZhCCCOVnZ3Nvn37mDZtGqtWrSIqKorAwECioqKIjY296rmdZcFJCCGUUl9fz9atW/nkk08wNzfnhRdeYOjQocTFxaHValm2bBnjxo1TOqb4i4qKinjssce47bbbuOWWW/D29sbc3Bxzc3OAq072GNI8w5DNnTsXAB8fH+rq6khNTSU5ORk7Ozvs7e154IEHruqSYcwuX77MyZMn6ejo4P7777/qLiStVsvy5csVTHc1JycnpkyZwvr166mvr6e+vp6srCwGDx4MGN5cWhiv/Px8QkJCSE9Px9raGltbW6qrqzE3N8fHx0fpeKKLUml1DWOFEP9fixcvJjY2lgkTJpCXl8c777xDUVERJiYmeHh4sGzZMn07DCHE9VdaWsqUKVOwsbHB39+fhIQEIiIiCAgIUDraf3TkyBE++eQTgoOD8fT0JCAgAD8/P5ydnYErJzicnJwUTimEMEa6jSH19fVUVlby+uuv09TURFtbG97e3vj6+jJ48GCDPTUrhBDGavv27aSkpKBSqdizZw/nz58nJCSEiIgInn32WVlQNjI1NTWsWrWKtLQ0cnJysLW1JTY2lvDwcE6dOkVzczOvv/66nLD+k/Ly8jhy5Ag9evQgJCQEGxsbWlpaKCoqIiMjgzNnzvDoo48qHfO6aGhoYNasWZiamuLp6YlWq8Xe3h4nJyfuueceLCwslI4IwNGjR7G3tycgIIDW1lb27t1LcnIy1tbWREZGEhkZiaOjo7zGxXXT0NDA+vXr2b59OxEREYwZM4Z169ZhYWHBc889p29LK8SNJMUwIf6ksWPH8tlnn+Hk5MSyZcuoqalh8eLFODg4cN9993HfffcRExMjA4f/Md2kcufOnZw5c4aZM2cqHUncQFVVVVy6dIkVK1aQmZlJt27dMDc3R6PRMGnSJIPt4X/27FmSk5MpKSmhvLyc1tZWrK2t8fLywt3dnQEDBsjOKCHEdaPVaiksLCQ1NZWkpCQmT57MqFGjZGFWCCGuA93iXVtbG6amvzbbqampIS8vj8DAQJydnWVeaOQOHz5MUlIS5eXlJCYmMnToUOzt7eXv+idt3ryZH374ARcXFy5dukRgYCDBwcGEhITg4eFhMC0D/xu6cVVSUhJbtmxh+fLl5ObmUlxcTHFxMe3t7SxcuFDpmMCV1oiLFi1i6tSpJCYmXvVYY2MjVlZWCiUTnV1paSkffPABmZmZeHt7ExERwdixY/Hw8JC5iVCEtEkU4k9obGwkPDycXbt2ER4eztatW1mxYgW2trYAnD9/nqCgIEDaD90oqamp9O7dG7gyCFWpVGi1Wvki7cS0Wi1OTk64urpibW3NE088QWJiIgcPHmT37t2cO3cOwCB3F7m7u3PHHXcAV9o6VlRUkJ2dTXZ2Nj/88AMBAQH4+PjI5FoI8V/JzMwkIyNDf3H79OnTmT59Oh0dHYC0dRJCiOtBrVbT0dFBZGQkvr6+DBs2jBEjRhASEsKAAQP0z5MxnXGLiYkhJibmdz+Xv+ufM378eEaPHs3ixYs5e/Ys9fX15Ofn8/777xMUFMSDDz5IYGCg0jGvi5KSEmJjY7G0tKRfv37069cPgNraWsAw7mtNTk7G3d2dxMREdGciVCoVDQ0NbNiwAU9PTxISEhTNKDqXqqoqHn74YZYuXcorr7zChQsXqKmpuaqzj8xNhBKkGCbEn2BlZcXo0aNZsmQJACNHjtQPjLOzs7GwsJDj5DeI7suypaWFrKwsYmJi9Cdq5P++c1OpVPoiV35+Pk888QQWFhYMHTqUoUOH6gf1hlYI02lra+PChQukpaXR0NCgbxNQVVWlb7Eqr2EhxF+lG3scOXJEv1EnIiKC3bt3k5mZycKFC/X3nQghhLg+TExM2L59O3v27GH79u18+umnmJmZERcXx5tvvql0PCEUpRubNDY2cvbsWb7++msAysrK+OKLLzhx4gRubm4Kp7x+zp8/T1JSEjU1NURERODv74+bm5tBnSTcvXs38fHxwJXNxLrTrd26dQMgLS2NhIQEOakjrhs7Ozuio6P57LPPGD9+PDExMTg6Ohrk5mXRtUgxTIg/KTY2lq1bt9LU1ISlpSVwpRXG1q1b9TsAdYMK8b9VV1dHc3Mz2dnZXLp0CQ8PD3x9fQkICCAyMlLpeOJ/oKioiIKCAhISEqioqKB79+76+7YM/cSDbkKRmprKP//5T+zs7PD09GTPnj2MHDmScePGIR2LhRDXqq2tDTMzM7Zv387IkSP529/+Rn19PQUFBaxYsYKkpCRGjx6tdEwhhOh0PDw8mDZtGtOmTePcuXOsWLECT09PgN+1UBSiKzp8+LB+rtba2oqXlxezZs1iyZIl2NjYKJzuv2diYkJzczO+vr6MHj2aiooKNm/ejJmZGfb29ixYsMBg2kFaWVldNedsb2/X/20yMjIM9roBYbwsLS257777+PLLL3nqqaeIiori8ccf16/jCKEU9RLdURchxH+kVquxsLDQF7y0Wi0ajYYBAwZgZWWFSqUyiF0/nZ2FhQX9+vUjMTERExMTLl26RG5uLhcvXmTgwIFKxxP/Az///DPvvfce27ZtY+3atWi1WuLi4ujWrRtqtdqg33e6Ytg//vEPbr31Vh5++GH69OmDWq1mw4YN+Pv76xdOhBDir/rpp59oamqiuLgYLy8vevbsibm5Oe7u7qSkpODu7k5ISIi+pbAQQohrpzvlcf78ef2JCgBra2syMjK46aab8PLyknmh6NJ0r31ra2uysrI4c+YM4eHhXLhwgXfffRcbGxuGDh1Ke3u7wW5o/E/2799PVVUVvr6+hIWFMXDgQAIDA3FxcQGurFlERUUZzMkwGxsbPvnkE+Li4rC1tcXExAS1Wk1DQwPvvPMOjz76qH5NS4jrxcLCgsjISEaOHEl5eTkbN24kJiZG7qgTipKtSkL8F6ysrPD399f/WwYON05+fj7Nzc1MmjSJlpYWKisr9Tub5Gh/55OYmEhsbCyFhYVkZWVx4sQJHnvsMbRaLQ4ODixatEh/b5+h0RXPOzo66N+/P2ZmZri4uDBx4kS2bNlCU1OT/nF53Qoh/oqLFy+yZs0azMzMUKlUJCUl0draip+fH2VlZVy+fJmhQ4cChnt6VgghjIlKpeLy5csMGjQIR0dHYmJiGDlyJB4eHmzcuJHJkyfrnydEV+fm5saYMWN4//33effddwkKCiIsLEx/l7Ixv0/WrVvHjBkzANi0aRP9+/fHz88PPz8/Bg8erH+eofyOYWFh+Pr6MnbsWH3hzsbGhtTUVIYPHy7Xfojr6uLFi3z44YdcunQJR0dH8vLySEtLQ6VSYWtrq3Q80cWptNKbSQhhZBYvXoytrS3btm1j69atqNVqzp07R48ePWSxr5MqKSmhqKgINzc3evXqRUNDA1VVVZSUlJCens5dd92Fi4uLwQ7gz58/z9NPP01NTQ1z5szBzc0NExMTXnzxRb766iul4wkhjFxxcTGZmZnk5OSQk5NDU1MT5eXlTJo0iYcffljpeEII0Wn8dvNSWloau3btYs+ePTg6OjJx4kQmTZqkcEIhDEttbS02Nja0tbVx+vTpTjFnb29v5/bbb+err77CysqKCRMmsHLlSv09aC+99BJ33XUXGo1G2aB/IC0tjZSUFPLz86mvr2fatGmMGDECwGDn0sL4HD58mN27d2NhYYGVlRVRUVGYmppiaWlJr1695LUmFCUnw4QQRkH3ZZmZmUltbS0zZ84kKysLFxcXKioqePPNN/nggw+Ujin+B/bv38/nn39OdnY27e3tJCYm8vLLL6PRaNBoNAwcOBBzc3PAcHbe/ava2lr8/f2prq5m69at1NbWUllZSUJCAseOHcPNzU1aJQoh/jLdoqxuJ/LYsWOBK8Wx3bt363deykXVQghxfZiYmNDW1kZTUxO+vr7MnTuXJ598kpaWFoO5G0gIJenGJrm5uWzatInTp0/T0tJCr169mD17ttEXwuDKQr+XlxdWVlaUl5fTrVs3fSGssbGRI0eO8PTTTyuc8o9FR0cTERHxu3GhFCfE9RQTE0NUVNS/fb/La00oSYphQgijoBucpaamEh8fz+XLlwkICADgxIkTtLe3A9JqrjPavHkz8fHxfPzxxxQUFPDGG2+QkZFBeHg4gL4QZqg6OjoIDAzkqaeeAqC8vJycnByOHj1KZWUl77//PrfffrsUw4QQf5nu++7gwYP8+OOPaLVabGxsmDx5Mvfcc4/+eVIIE0KI62fNmjWsW7eOwMBAnJyc6Nevn77tmxBdna751MqVK/Hx8WHq1KnY2tqydu1aPvroIx5++GEsLCwUTvnf+fnnn8nLyyMlJYW9e/cSHBysfyw7OxsPDw9MTEwMdm3ij8aFUpwQ19OPP/7Ihg0bcHZ2ZsmSJajVaoNftxFdhxTDhBBGQTeI9PX1JS8vj82bN+t78qekpBAbGwv8OvgWnUdpaSnPPPMMAIGBgdTV1RlV8dPExITjx49z8OBBKioqCA4OZsyYMSQkJHDhwgWys7MJDAxUOqYQwsjoNomUlJTw3nvv0a9fP/z9/SkqKuLZZ5/lhRdeMNi7FIUQwtjoPnOLi4v58ssvWb16tX4c9+GHH6JWq7n99tuVjimE4nSFlry8PN544w39z4OCgpg3bx5nz57Fz89PqXjXRVRUFGq1mqSkJDIyMrCysuKNN94gKiqKTZs2ERMTA8jahOhadGszBw8e5PvvvycuLo4tW7ZgZWXFsWPHSE1N5YEHHlA6phBSDBNCGJeRI0dSXFzMuXPnKCgo4O6778bNzY1bb70VwOALI+KvOX36NJmZmWzevJm+ffvi5eVFfX09ERERgGH/vXWDwczMTF5++WV69OhB3759ycrKoqCggCeffBJHR0fi4uKUjiqEMEK6hdm9e/cSEhLCokWLAGhra+Ott95i+/btzJ8/X+GUQgjRuZw+fZq4uDg8PDzw8PAgNDQUPz8/PvzwQ26//XZpNSYEUF1djY+PDxs2bCAxMRE7Ozvs7Oyoqqoy+kIYwJAhQ4iMjKS6uppz585RXFxMSUkJP/zwA6mpqcydOxcw7LmqENebrvibmppKQkICDg4O9OnTB4CCggJ++eUXwDg2NIvOTYphQgijc//999OrVy/S0tKYNm0asbGxODg4AHK8v7NxcXHhueee4+DBg6xbt4729nZaWlrYunUr/v7+BAYGYmVlpXTMP6QbDCYlJTFixAhmz57N5cuXiY6O5rXXXuObb77hrrvuksGgEOK/cvnyZZqammhoaMDU1BRzc3Osra2pr68H5L4wIYS4Hjo6OlCr1eTn53P69GlSUlIYOHAgHR0dHD16lB49elz1PCG6MicnJ6ZMmcL69eupr6+nvr6erKwsBg8eDHSOxXAbGxtsbGzw8/MjMjKS2tpaqqqqGDdunP7zQNYmRFei++67ePEio0eP5qOPPmLKlCkAHDt2jEGDBgFyYlIoT4phQgiDpxssV1ZW8v3335OamsrSpUsZMmTI754jOhdra2umT5/O9OnTAcjNzSU5OZkNGzaQmZnJ/PnzmTVrlsIp/5ju9ajVavUFO2trawIDA/Hw8NA/TwaDQohrofuMmThxIi+99BKrVq1i0KBBnDhxgridK98AACAASURBVL179/Lss89e9TwhhBDXTrfId/LkSc6cOcPSpUvp1asXFy9exN/fnxkzZlz1PCG6oqNHj2Jvb09AQAA333wzra2tJCcnY21tzcSJE4mMjAQ6T5FIdxJUpVLh4OCg36ArRFc2a9YsHn/8cbKzsxk9ejQ//fQTp06d4qGHHgLke1IoT6WVVTghhIHTDTLvuecexo0bx+uvv86KFSvo378/X331FcOHD7+quCC6hpaWFhoaGnBwcDDYYmhLSwuPPfYYWVlZ3HHHHQQEBFBbW8uuXbtYsmQJnp6eSkcUQhihhoYGGhsbcXBwQK1Wk5mZydq1aykpKSEoKIj4+HiGDh2qdEwhhOi0srOzSUlJ4fjx4+Tl5eHg4ECvXr1YunQppqay51h0PdXV1SxatIipU6eSmJh41WONjY0G283jepI2qaKr+tfXflZWFtu2bePgwYPY29vz+OOPExYWpmBCIX4lozQhhMFTqVScP3+exsZGxowZwxdffEFkZCSmpqZs3LiRMWPGKB1RKMDc3Bxzc3PAcE8+tLe3M2LECMLCwigoKOD48eMUFhYyaNAgfv75Z3x8fBgwYIDSMYUQRuajjz6ioKCA6Oho3N3dCQ0NZdmyZcCvbRFlQUYIIa4P3efp5cuXKS0txcXFhdDQUEJDQwFobW3l559/5tSpU1IIE11WcnIy7u7uJCYm6jtfqFQqGhoa2LBhA56eniQkJCic8vr77aZMGXeJrkqlUnHo0CFKSkpoa2vDxcWFyZMn8+STT+q/Q2VuIgyFjNSEEEYhLy+P8PBwysrKcHFxwdTUlNzcXCwtLXF0dJQvVmGQrKys9MXalpYWLl68SF5eHocOHWLnzp1ERkZKMUwI8ZeVlJRw+PBhzM3NOXnyJElJSTg6OhIQEICLiwv9+/fH3t5e6ZhCCNEp6OYZH3zwAbt27eL8+fNoNBr69u1LWFgYI0aMYMiQIVe1cBeiq9m9ezfx8fHAr3fntbW10a1bNwDS0tJISEgw2I4ef4bus6C+vp4DBw6Qk5NDVFQUcXFxRv17CfHf+vbbb1m9ejUmJiY4OjpiYmKClZUVM2fOJCIiQt4fwqBIMUwIYRSCg4PZs2cP999/P0OHDuXs2bNs3bpVvyNTLqsWhqS5uRkLCwtaWlo4efIkdnZ2NDU1kZuby8WLF3nwwQdpbW2lpaVF6ahCCCO0YMECLC0tyc3NJTExkYCAAH755RfS0tKoq6ujb9++SkcUQohOw8TEhJaWFjZu3EhKSgoNDQ0cPHiQ/fv389Zbb9G/f3/8/Pxkc57o0qysrK66C7m9vZ2Ojg4AMjIyOkWxWLfm8M4772Bqasq3336Lm5sbALt27aJHjx5oNBplQwpxg+Xm5vLtt9/y/PPPExkZSVNTEydPnuSbb77hySef5Ntvv8XW1lbpmELoSTFMCGEUXFxcmDJlCrW1tVRWVjJ37lxuvvlm7rvvPkBaEgjDcebMGVasWMHp06extrbGycmJQ4cOAZCQkMCpU6eYMGGCnNoQQlwzX19fXnrpJf0pU41Gw/z582lqaqKwsBBHR0elIwohRKdSV1fHnXfeiUqlwtramoSEhN+1fJP5iOjKJkyYwNtvv01sbKy+QKRWq2loaCArK4tnnnkGMNz29n+GbvNteno6GzZsoLi4mD59+gCwevVqZs+ejUajkcK46FL27t1LWFgYkZGRtLS0YGlpSd++fenbty9PPfUUO3fu5LbbblM6phB6UgwTQhiFtrY2goKCePXVVykoKMDV1RV7e3v9INOYB9Wic8nIyOCHH37ggQceYNCgQYSGhnLo0CE++OADXnzxRaXjCSGM2G8XV2praxkwYADV1dU899xzHD9+nEceeYTQ0FBZhBFCiOtE19qpvr6e0tJSnn/+eSZNmkT37t2xs7PDzs5OPm+FAMLCwvD19WXs2LEMHDiQwMBAbGxsSE1NZfjw4Z3maoOKigpsbW1paWnh7Nmz+tP4dXV1REVFAVIYF11LRkYGDz/8MHDlXveOjg4aGxuxtrbG1dWVM2fOAEirRGEwpBgmhDBY7e3tqNVqcnJy2LdvH0eOHMHT05MBAwZgZmaGg4NDpxhQi85l9OjRaLVaPv/8c9ra2ggPD2fPnj0MGjQIuHJ3mLm5ucIphRDGSKVS8dprr+Hg4MDp06fJzc1l2LBh3HzzzTQ3N1NfX4+jo6N8LwohxHWi+zx95ZVX0Gq1+g4ATk5OuLq68re//Q0PDw+FUwqhPBsbG5YtW0ZaWhopKSmcPHmS+vp6pk2bxogRI5SOd924ubkRFxfHQw89hLOzMwBffvklzs7OWFtby4K/6FLa2trYv38/3t7eDB48mH79+mFra4u1tTUAJ06cYO7cuQqnFOJqKu1vm/oKIYQB0Q0k7733Xjw9Pbnpppv0i39ZWVk8+OCDTJw4UemYQvyh3NxcVq9ejYuLC9u2beOzzz7Dx8dHCrhCiGtWVFTErbfeipubG3PmzKFPnz50dHTQv39/paMJIUSndfHiRWbMmMGWLVuAK5/F6enpHDp0iGeffVZaXwvxL3SbWn/L2OdAuvyZmZk0NTXx1VdfceLECRobGxkyZAi33XYbUVFRf/i7C9FZXb58mW3btlFYWEheXh51dXW4uroSERFB3759efXVV9m4caNRv/dF5yPFMCGEwZs/fz7vvPMOKpWKhoYGGhoaqKysxNvbG3t7e6MfWIvOq7S0lA8//JBNmzYxf/58pk6dKpfHCiGuWUNDA9u3byctLY309HRsbW3p0aMHYWFhRERE4OfnR7du3ZSOKYQQnYJujpGTk8PHH3/MwoUL8fDwkIVuIbqwyZMns379euBKy8Tm5mYcHR2xs7NTOJkQyujo6KC5uZmamhrKysrIy8sjJyeHo0eP4uLiwurVq6VILAyKFMOEEAZJdyqsoKCApUuXsmDBAiIjI5WOJcQ1yc7O5o033iAmJoY5c+YoHUcI0UlkZGSwf/9+0tPTycjIYP78+cyaNUvpWEII0SnoimFr167liy++QKPRMGzYMFxdXXF1dcXf3x9LS0ulYwoh/sd0nwUlJSWsWrWKl1566arHpTWiEL9qb2+nsbGRqqoqLCws8PLykveIMChyZ5gQwiDpvijPnz/PuXPnmD9/PiEhIfTp04fIyEgGDhyImZmZnAgTBq2jowOA0NBQZs2aRUtLC/DHrUOEEOKvCg8PJzw8HLhyH2FDQwMgizJCCHE96OYZN998M97e3uTk5HD48GHa29tpb2/n0Ucfxc/PT+GUQogbJT09nU2bNtHQ0MCUKVPo27cvlpaWMuYSXVpHRwdarRYTExNUKhVqtRobGxtsbGz0z5H3iDAkcjJMCGGQmpubsbCwAKCxsZHCwkKysrLIyckhLS2NBQsWMHLkSGmRKAyW7utVXp9CCCGEEMaturoaS0tLrK2tOXXqFGlpadxxxx2YmZkpHU0IcYOcPHmSn3/+mYyMDCorK2lvb8fCwoInn3ySkJAQpeMJIYT4E6QYJoQwODU1NXzyySc8+uijfPPNN/Tr14+goCB9UeH8+fPY2trqi2VCGIO2tjZMTeVAthBCCCGEodOdsM3NzeW7776jpKSE1tZWgoODeeCBB+R+ICG6uAsXLugL45MnT8bV1VU26oou5fLlyxw6dIjc3FyioqKIioqSE2DCKEgxTAhhcKqrq6msrMTZ2ZlnnnkGc3NzTE1N0Wg0hISE0K9fP9zc3JSOKcRVfjv5OXHiBFlZWcTHx+Pq6qpwMiGEEEII8VfoWlovXLgQHx8fIiMjsbW1Ze3atbi6urJgwQKsrKyUjimE+B/TzfFaWlooLS1l//79+Pj40KtXL7y9vZWOJ4RiFixYQF1dHR4eHlRWVvL444/Tu3dvpWMJ8R/JFnUhhMFxcnLCyckJgFdeeYXS0lLy8/MpLi7mm2++oaysjHvvvVd2XgmD9OKLL6JSqdizZw99+vTBwcGBrKwsevfuLYsmQgghhBBGQHe3a15eHm+88Yb+50FBQcybN4+qqiq5L0yILqCjowO1Ws3HH39MWVkZp06dAq60wjc1NeXOO+9k7NixCqcU4sYqLi6mvLycNWvWcP78eb788ku++OILXnrpJVmjEwZPzi8KIQxOR0cHAGvWrKG4uJiAgAAmT57MY489xnPPPceECRMUTijE76lUKmprazl27Bhz5syhW7duBAcHY25uzvvvv09TU5PSEYUQQgghxJ9UXV2Nj48PGzZsoK6uDgA7OzsphAnRhejavu3Zs4cHH3wQGxsbZsyYwaBBg7CwsNB/FujWMIToCpKTk+nZsydWVlb4+PgwduxYqqurUalUtLa2Kh1PiP8vORkmhDA4JiYmXL58mZ9//pm1a9fi5+eHk5MTERER9OnTB09PTwDZcSIMhu6U4rFjx+jfvz+mpqY4OjpiYWFBQUEBFy9epHv37krHFEIIIYQQf5KTkxNTpkxh/fr11NfXU19fT1ZWFoMHDwZ+vVdMCNF5qVQqqqurUavV+nZwo0aNAuDee+/F398fQD4LRJeSm5tLZmYmr7/+On379mXnzp1ERkYCYGZmpnA6If7/1EuWLFmidAghhNBpb2/HxMSEPXv2UFFRwfDhw4mJiaG0tJStW7dSXFxMc3Oz9CIWBkelUlFZWUl1dTVbt26lX79+REVFsWnTJkxNTRk2bJj+9S2EEEIIIQzT0aNHaWhooHv37nh5eWFlZcXx48cBiI+PZ/z48frW17I5T4jOr6KiApVKhbe3N+np6XTv3p2qqiq2b9/OjBkz5PoG0eW4urri5+dHfX09J06cICMjg7q6OsrLyzl79iz+/v76dsNCGBqVVqvVKh1CCCF0dJdVL1iwgEmTJjF48GC0Wi2tra289tprABQVFXHfffcxcOBAhdMK8Xtr167l008/JTIykvb2dpqampgzZw59+/aVHcRCCCGEEAasurqaRYsWMXXqVBITE696rLGxUe5/FaILamlpwdzcHLgy11u7di12dnaMHDmSmTNn6tcwhOgKWltb0Wq1mJub09zcTFVVFRUVFRQWFlJcXExZWRmvv/66/j0jhKGRNolCCIOiG0RaWlpy9OhR+vbti7W1Nebm5hQVFfHSSy/x9ttvU1NTo3BSIa6oqakhMzMTPz8/XFxcmDJlCmFhYezZswdXV1dGjhypb5EohTAhhBBCCMOVnJyMu7s7iYmJ6PYNq1QqGhoa2LBhA56eniQkJCicUghxI61cuZIhQ4bQt29fpk+fzsCBA+nevTt2dnaAzPFE17J//36OHj1KWFgYfn5+eHp64uXlRUxMDPX19Vy8eFEKYcKgSTFMCGGQZs2axRtvvMHatWtxd3cnIyOD2tpanJ2dyc/P54knnlA6ohAAHDlyhC+//BKNRoOTkxMajYaePXsyb948TE1NUalU0jpDCCGEEMII7N69m/j4eODKnWBqtZq2tja6desGQFpaGgkJCXLaX4guorm5mfb2dhYtWoSrqyv33nsvgwcPxtT01+VUmeeJrqS1tZWqqip27NhBRUUFQUFBBAYG4u/vj7u7u/4ePSEMlbRJFEIYrKysLLZs2UJtbS0ajYbBgwdjZWXF//3f/7FmzRql4wkBQFNTEydOnCA/P5/8/Hyqq6sBcHZ2xsHBgcTERIKDgxVOKYQQQggh/pPFixcTGxvLhAkTaG9vB660cTc3N+exxx5jyJAhjBs3TophQnQxzc3NJCcnk5aWhpeXF1OmTJHTL6JLa2pqYuTIkYwfP56qqirq6upobm5m6dKleHp6Kh1PiH9LToYJIQxOa2srGRkZmJiY8PDDD2NtbX3V4x9//LFCyYS4mlar5ezZs0RHRxMdHQ3AhQsXyMvL45dffiEjI4NRo0bpnyu7BoUQQgghDNeECRN4++23iY2Nxc3NDbjSxr2hoYGsrCyeeeYZQNqiCdHZ6e4B++c//6lv/Xbu3Dnq6ur4/PPPaWhoYO7cuTLHE12O7jVfVlaGRqNh4cKFAJSXl5OTkyOFMGHwpBgmhDAoWq2WOXPm0K1bN8zMzGhqaqJ79+64uroyZ84c/f1hQhiC7Oxs9u3bx7Rp01i1ahVRUVEEBgYSFRVFbGzsVc+VSZIQQgghhGELCwvD19eXsWPHMnDgQAIDA7GxsSE1NZXhw4fj6Ogoi99CdAG6u8yTk5NpaGhg/vz5dO/enaqqKiwtLenbty8gGx5F13Lp0iUAbG1tSU5Opnfv3sCV4rGnp6cUwoRRkGKYEMIg6AaR6enptLa28vzzz3Pu3DkqKyspLi7m3LlzvzshJoSStFotffr0QaPRUFlZyenTp8nNzaWtrQ1vb298fX0ZPHgwoaGhSkcVQgghhBB/go2NDcuWLSMtLY2UlBROnjxJfX0906ZNY8SIEUrHE0LcYGvXruXzzz9nzZo1xMbGcvvtt+Pi4qJ/XE6Jiq7knXfewcrKiptvvpmdO3cydepUQDb+CuMid4YJIQyCru/+N998Q0tLC9OnT9c/1tjYSGNjI46OjgomFOI/02q1FBYWkpqaSlJSEpMnT2bUqFFyr4QQQgghhJHRtUn7LTkFIkTnp5u75eXlUVNTQ8+ePTl58iQrV66ksbGRRx55hJiYGKVjCnFDtbe389VXX+nvSj979ixRUVGEhIQQEBCAu7s7AQEB8h0pDJ6cDBNCGATdgPPUqVP88MMPXLx4kbi4OHr27ImVlRVWVlZKRxTi38rMzCQjI4Pa2loCAwOZPn0606dPp6OjA5Adg0IIIYQQxuZfC2Egu9+F6Ap0c7f09HR27NhBYWEh/fr1w8vLi+3bt5Ofn09MTMwfFsyF6KzUajXTp0+nsbERKysrCgoKSEpK4ujRo2zbtg1vb2/+8Y9/KB1TiP9IToYJIQxGe3s727dvJzc3l/Pnz3Pp0iVMTExwcHDgqaeekoKYMCi6ncFHjhxhxYoV2NraEhERQX5+Ps7OzixcuFDutxNCCCGEEEIII9PU1MRXX33F9OnTMTMzo6SkBK1Wi5+fn9LRhFDErl272LlzJ2fOnEGj0bBo0SLs7e0BqKmp4ezZs/Tq1Uu64giDp16yZMkSpUMIIbq2w4cPc+bMGXx8fAgODuamm24iODiYoKAgHBwcMDMzY+DAgUrHFOIqbW1tqNVqPvnkEyIjI3n22Wfp1asXPj4+bNmyBSsrK4KDg5WOKYQQQgghhBDiT2hqasLU1JTMzEzS09O55ZZb6OjowMHBgW7dunHx4kW6deumdEwhbrhFixYRHh7OkCFDSE9Pp7y8nPDwcNRqNVZWVjg7OwNygloYPmmTKIRQ3Ndff018fDwA33//PT169CA4OBhfX1+io6MVTifEH0tKSsLHxwdLS0scHByAK5euh4eH4+zsTGNjI4DsjBJCCCGEEEIII1BcXMyWLVvYv38/ISEhXL58GUtLSwCSk5PJy8tj3rx5CqcU4sYqLCzEzs6O+fPnA9CrVy+eeeYZHnzwQSl+CaMjxTAhhOKKioqIiooCYN26dSxdulT/2LJly5gwYQI9e/ZUKp4Qv3Px4kXWrFmDmZkZKpWKpKQkWltb8fPzo6ysjMuXLzN06FBA7gsTQgghhBBCCGNw5swZQkJC2LRpE7W1tSxevBgrKyuCgoLYsWMHs2fPBmTDo+ha9u3bR1VVFQUFBQQGBlJbW4uzszNqtRrd7UtSFBPGQophQghF5ebm4uTkhKurK7W1tTQ2NhIYGKgfXB48eJAHH3xQ6ZhCXKV79+58+eWXFBcXk5mZSU5ODlu2bKGpqYny8nImTZqkbxMghBBCCCGEEMKwZWVlsXLlSj7//HO++eYbnnzySYqKiigtLaWsrIyYmBgGDx4MyIZH0bU4OjoSHBzMu+++i0qlIjc3l6CgIC5cuICdnR2mplJeEMZDXq1CCEXt3r2bzMxMjh07xrFjxwgJCQGuDC5/+eUXHBwcsLGxQavVyk4TYTB0xVo/Pz/8/PwYO3YscKWtxu7du7G1tQWgvb0dtVqtZFQhhBBCCCGEEP9BSUkJgYGBJCUl4evri0ajQaPR0NraSltbG1ZWVkpHFEIRI0aMICIigsrKSsrKyvDy8qKiooIXXniBuro6lixZgp+fn9IxhfhTVFrdeUYhhFBAWloau3bt4syZM2RlZWFhYcGoUaMYMmQIu3fvxtTUlAULFkhRQRikgwcP8uOPP6LVarGxsWHy5Mn4+/srHUsIIYQQQgghxF9QWlrK8uXL2b9/P76+vkycOJGQkBB69eql3+wohID6+nqqqqqoqKigtLSUO+64Q9brhNGQYpgQQnHNzc1cunSJqqoqTp48SVZWFkVFRRw4cIDPP/+cAQMGSE9uYTB0pxRLSkp4+umn6devH/7+/hQVFXHs2DFeeOEFgoKClI4phBBCCCGEEOIvuvvuuxkwYAA5OTmcOnUKS0tL3N3deemll3Bzc1M6nhCK+Hd3g8lanTA2UgwTQhiUjo4OmpqaqK2tpby8nMjISKUjCXEV3WBv9erVnDlzhqeffhqAtrY23nrrLSwsLJg/f77CKYUQQgghhBBC/Fm6bjS1tbXY29vrf56enk5KSgrz58+X0y9CCGHk5M4wIYRBMTExoVu3bnTr1g0PDw+l4wjxb12+fJmmpiYaGhowNTXF3Nwca2tr6uvrAbkvTAghhBBCCCGMgVarRa1W09zczJ49ezh06BDh4eHccsstREZGyiZd0eXV1NTg4OCg/7euY44QxkbOMQohDE5HR4fSEYT4t3QtACZOnEhNTQ2rVq0iMzOTTz/9lL179zJy5MirnieEEEIIIYQQwnDpmmYtWbKEI0eOYGpqyo4dOxg3bhybNm1SOJ0QytC9L7Kzs/n000+v+plKpaK9vV2xbEJcKzkZJoRQ3L/uKJEigjBUDQ0NNDY24uDggKurK7Nnz2bt2rX84x//ICgoiLlz59KnTx/g9720hRBCCCGEEEIYHhMTE7RaLdnZ2Xz99ddYWVkBcPjwYb7++mvi4+OxtbVVOKUQN9Zv1zQKCgo4d+4cLi4uAPz0009UV1czbdo0peIJcU2kGCaEUITu3qUTJ06QlZXF1KlTaWtro7i4GLVajUajUTqiEL/z0UcfUVBQQHR0NO7u7oSGhrJs2TLg17aI0i5ACCGEEEIIIYzLyZMnsbGx0RfCAHr06MHJkyelECa6pJaWFszNzQkNDcXHx4cDBw4QGxvLe++9R3l5OXfccQfw6/qeEMZAimFCCEXojlZv2bJFfzntxx9/zO7du4mNjWXu3LlYWloqGVGI3ykpKeHw4cOYm5tz8uRJkpKScHR0JCAgABcXF/r373/VZctCCCGEEEIIIQyXVqtFq9USHBxMQEAA99xzDzNmzCAwMJAff/yRgIAAQO6EFl1LTU0Njz/+OAEBAfTu3Zvhw4fz9NNP891335GQkMDSpUv1z5VCmDAm8moVQihC92V55MgR7rzzTvbu3UtZWRmzZs0iKyuLQ4cOAb8WzYQwBAsWLCA+Pp6ioiK8vb0ZPnw43bp1Iy0tja+++kp6ZgshhBBCCCGEEVGpVJiYmKBSqXjooYcIDQ1lzZo1TJo0iYsXL7JgwQL984ToKtrb2xk2bBg2NjYcOHCAlStX0t7ejpmZGb1796aiokLpiEJcE5VWVpqFEAppbW3lySefJDw8nF27djF37lxiY2OZMmUKb731Fm5ubkpHFOIPHTp0iJ07dxIdHc3w4cNpamqisLCQ0NBQpaMJIYQQQgghhPgTqqur2bZtGxMnTsTGxkb/89LSUjw9PWlra8PCwkLBhEIoq62tjbNnz3L69GnKysqoqKggMzOTwYMHM3PmTLkmQhgdaZMohFCMmZkZ06ZNY/ny5QwbNozY2FhSUlJoaWmRQpgwKL8d4NXW1jJgwACqq6t57rnnOH78OI888gihoaEyEBRCCCGEEEIII7Fjxw5SU1O56667ADh48CAbNmygW7dujBkzhgEDBiicUAhl6O4BW79+PePHj8fb25u2tjZqamqoqamR6yGE0ZJimBDihtMVDPL/X3v3Hh1lfedx/JOZJOTCJcaEIeSekATIRUxICAWEJQiFYiteULdU2YIeWrnVUrXr0XatttZatUuLragoresNEKSrIgUJSiyXEAiQBEJuJARCgAQSJslMZmb/4MwobXfXSiZPLu/XOZ5D5pnD8+EcYZLf5/l9f8ePa8yYMXrzzTc91wIDA3XbbbdJYiY3eg4fHx89/fTTCgkJUXV1tcrKyjR16lRNmDBBHR0dam1tVWhoKEUYAAAAAPQS+/bt08033yyz2aw9e/bo1VdflY+PjwIDA/W73/1OFotFcXFxRscEup3JZFJDQ4PWrVunW2+9VZLk6+urkJAQNTU1KTw8XBLjQ9H7UIYB6HbuD8tf/OIXeuSRR5SQkKB3331XBw8e1PLly5WVlSVJFGHoMaqqqvTKK6/IYrHovvvu0x133CGn06nFixcbHQ0AAAAA8BWUl5frxz/+sSRp06ZNiouL09KlSxUcHKyFCxeqvr5ecXFxTABBv+LeFbZz506NGjVKAwYMkN1ul5+fn4qKivTiiy9q9erVRscEvhLKMADdyv1N5IkTJ9Ta2qqEhARt27ZN//Vf/6WxY8fqjTfe0KJFi/hGEz2KxWLRz3/+c+3du1evvfaaBg0apKSkJJWUlCgzM1OxsbEKCgoyOiYAAAAA4Evo7OxUXl6efvvb3yo7O1sfffSRXn/9dc/PdWfPnlV6erokdr+gfzGZTJIkm80ml8ul9vZ2+fperhAOHz6sESNGSGKaE3onk9EBAPRPu3fvVlxcnIqKipSfn68HHnhAU6dOVUFBgXx8fORyuYyOCHgEBQXplltu0S9+8Qt99NFHeuyxxxQZGamtW7fqX//1X/XGG28YHREAAAAA8CX5+vpq9uzZqqys1Jo1a7RixQolJyfLx8dHu3fvVmBgoAYNGsTaBPqt2bNny2q1VrYFUgAAH7pJREFU6qWXXlJZWZleeuklbd++XXl5eZIoidE7+bj4Vx2AAaqrq7Vq1SqdPHlSU6dO1YIFC7Rq1SrZ7XYtW7aMJ0zQa9hsNlmtVoWEhHjGCQAAAAAAep/Gxka98sorCg8P13e/+13WJtCv7d+/X6+99ppOnz6txMREzZgxQ5MnTzY6FvCVUYYBMMzRo0fV0dGhUaNGyWaz6Qc/+IEWL16sjIwMZnIDAAAAAACvcTqdkvR3DzR2dHTI5XIpICDAiFhAj+B0OtXW1qbg4GA5nU65XC6ZzWbW69CrUYYB6HZOp1PHjh3Ttm3bNGXKFKWmpnpeGzlypNHxAAAAAAAAgH7FPe1m48aN2r17txobGxUVFaXExEQNHTpUmZmZCg8PNzom8JUxywlAt3E4HJKktWvXatOmTXr//ff11ltvSZJ27dql4OBgI+MBAAAAAAAA/ZLJZJLT6dTLL7+sWbNmqaysTAEBAXrxxRf19ttvc4Yeej3KMADdxr2N+pNPPtGcOXM0ZswYTZgwQZL0wQcfqLCwUJL4cAUAAAAAAF5x8OBBVVZWqrm5WXa73eg4QI/gHhu6d+9eJScnKzs7WzExMXr44Yf1xBNPKCQkREOHDjU4JXB1fI0OAKD/MJlMstlsam1tVXJyso4fP65HHnlEklReXq6FCxcanBAAAAAAAPRV7e3tWrt2rQIDAzV06FDFxsYqJiZG4eHhCgkJUWBgoMxms9ExgW7nPjuvtLRUY8aM0e7duz0jEW02m/z9/SV9PkoR6I0owwB0K7vdrsmTJ2vZsmVyuVwKCgpSaWmpbDabEhISJImDOAEAAAAAQJcLCAjQU089pYqKCh06dEglJSUqKChQYGCghg8frri4OEVGRiosLEyhoaHy8/MzOjLQrW655RY5nU41NzfLZDLpySefVGFhoe68805JTHNC7+bj4v9gAN3E/fRIbW2tVq1apXPnzslkMqmlpUXz5s3TzJkz5XA4eAoLAAAAAAB0i9bWVpWVlenw4cOqqanRxYsXFRMTozvuuEPDhg0zOh7QbTo7O7Vx40bddtttkqQPP/xQhYWFmjhxonJychQYGGhwQuDqUIYB6FZnz55VWFiY6urqtG/fPoWFhSkhIUHDhw83OhoAAAAAAOgHXC6XXC7XPxz31tDQoJMnT2rkyJEKCgoyIB3QvVpbW9XZ2amtW7dq165dev755z3XLly4oLq6OqWmphqYEOgajEkE0G0aGxt177336s0331RUVJSioqKMjgQAAAAAAPqZvy3CvliOWSwWWSwWA9MB3auqqkr5+fn64IMPNGrUKBUXF8vf318jR47URx99pFOnTik1NVUul4ujTdCrcdodAK9zOp2SpIKCAqWkpCggIEAdHR2SpH379unxxx83Mh4AAAAAAOhH/rYI+9vXgP4kJiZGI0eOlMlkUltbm1577TX98Y9/1MqVK7VmzRqNHDlSEueFofdjZxgAr3M/NVJWVqb09HRJkr+/vySpuLjYcyAt54UBAAAAAABvcJ9jvnPnTpnNZo0YMUIWi4WdLujXbDabAgMDNW3aNEVHRys+Pl6VlZWe/x588EFNnDhREoUxej/KMABe5/7GcuLEifrNb36jiIgIpaWlyeFw6NNPP9U999xzxfsAAAAAAAC6knshv6CgQDt37lRaWposFotGjBih+Ph4paSkaMCAAQanBLrX22+/LavVqvnz5yslJUU2m02dnZ1KTEzUrFmzjI4HdCnKMADdZsKECaqoqNA777yjrVu3qqKiQpMmTdKECRMk8YQJAAAAAADoeu6zjurr61VdXa3p06crJCRE1dXVevbZZzVp0iRlZGRo7ty5RkcFutXHH3+sO++8U/7+/mpubta///u/q7m5WS6XS/Pnz9eMGTM4Kwx9BmUYAK9zf2jabDbdfffdmjFjhqqqqmSxWBQfH290PAAAAAAA0Ic5nU6ZzWZt375d8fHxWr58uaTLxzVYLBYdPXpUGzZs0KBBgzRz5kyD0wLdw2az6ezZs7rxxhslSWvXrpXD4dCSJUtUX1+vdevWacyYMbJYLAYnBboGZRgAr3LP5D506JA++OAD7dy5U7GxsZo7d66io6ONjgcAAAAAAPo49/nkjY2Nam5ultVqla+vr/z9/WUymZSXlyeHw6GioiLKMPQbFRUVGjRokFpbW1VTU6OCggItXLhQ48ePlyStWbOGIgx9CjPJAHiVe/Thk08+qZCQEP30pz9VRkaGXnrpJRUXFxucDgAAAAAA9Bfz5s2T1WrVqlWrVFhYqLVr12rz5s0aM2aMdu/erXHjxhkdEeg2o0aNUk5Ojh566CE9++yzslgsmjZtmqTL4xNjYmIkXX7QHegL2BkGwGvc4xH37NmjAQMG6L777pMkjR07VqGhoXr55ZeVmZlpcEoAAAAAANAfhIeHa+HChXrnnXe0cuVKxcfHa9myZbJYLKqsrPTsiAH6izlz5mjjxo2KiorS5MmTJUnt7e3atm2bxo4dK+ny+h7QF1CGAfAa9+GabW1tuvbaa+VwODyjCSIiIjy/do9SBAAAAAAA6EruB3Wly2MSAwMD9cgjj2jAgAGe93R2duoPf/iDgoKCjIoJGCI6OlpLliy54rXa2lpFR0frG9/4hiSxZoc+w8dFtQvAy5xOp5YsWaL29nbdcMMNamlp0dGjRzVx4kTdcccdV5RkAAAAAAAAXcX9AO6TTz6psrIyhYaGKigoSGFhYQoNDdXMmTM1bNgwo2MChnC5XHK5XBRe6BfYGQbAqy5duqQ333xTTz/9tDZu3KiTJ0+qvr5es2bNUl5eniRRhAEAAAAAAK8wmUzq6OjQrl279PTTT6ulpUV1dXWqr69XSUmJbrrpJqMjAt3KvVvS5XLJ6XR6dk7+7XWgr6EMA+AV7g/OvXv36rPPPtOCBQs0d+5ctbS0KDQ01Oh4AAAAAACgj3OvTZSWlmrMmDFKS0vzXLPZbGpoaFBYWJiBCYHu5+Pjo+bmZoWEhFzxgLrT6WSXGPo0yjAAXuF0OmU2m9XQ0KCQkBA1NjYqPDycIgwAAAAAAHQL99rEyZMndfDgQT3//POaOnWqYmNjNWTIEEVHR7MLBv1OQ0ODvvOd7yg2NlapqakaP368rr/+evn7+xsdDfAqzgwD4FW/+93vtGnTJiUkJCgtLU1xcXGKiYlRamoq4xEBAAAAAIDXbdq0SYWFhWptbdWAAQMUHBysgIAAffvb31ZERITR8YBuZbfbVVxcrOPHj+vgwYOqrq5WR0eHoqKilJ6ern/5l39RYmKi0TGBLkcZBsArmpqa1NTUpKqqKl1zzTU6fPiwTp06pZaWFrW3t+uJJ55QQECA0TEBAAAAAEAf1Nraqvr6eiUnJ0u6vEvs5MmTqqioUGVlpWpqavSjH/1IAwcONDgp0L1Onz6tYcOGeb4+e/asysvLVVJSooKCAuXm5uree++V0+lkZCL6FMowAF3u008/1erVq1VZWamRI0fqrrvu0tSpU9XS0qKamhqdP39eN9xwg9ExAQAAAABAH5Wfny+73a7k5GStX79e6enpio+P1/DhwxUYGKj29nYe0kW/tHTpUklSfHy80tPTlZ6eLovF4rnu/rvBCFH0NZRhALrcPffco7lz52rs2LHasGGDioqK9LOf/eyKD1YAAAAAAABvuXjxovz8/FRQUKD33ntPZrNZZrNZYWFhuuaaazRt2jQlJCQYHRPoVjabTQUFBWpsbFRFRYVOnTqljo4ODR48WCNGjFBGRoZyc3ONjgl4ha/RAQD0LU6nUxcuXFBeXp4CAgL0ve99T7fffrtsNpskqbOzU76+/NMDAAAAAAC8Z/DgwZKk8+fP61e/+pUaGxt15MgRHTt2TAcOHNDkyZMlid0v6Ff8/f01ZcoUz9dfHB169OhRNTU1KTc3l78X6JNYkQbQpYqKitTc3Kzi4mKFhobKbrfL6XQqOjpakijCAAAAAABAtzhx4oTWr1+v22+/XZGRkYqMjNT06dNlt9vl5+cnSSz4o19xOBwym8169dVX1dnZqXHjxiknJ0c33HCD2tra1NbWZnREwGtYlQbQpYKDg3X99dfrhRdekMlkUmdnp/z8/FRaWiqz2azhw4dzOC0AAAAAAPAa94J/WVmZYmJiZLVaFRQU5LnuLsKA/sZsNnt+XVNTowMHDsjlcikhIUFxcXG66aabJFESo2/izDAAXmG321VcXKzS0lIVFRXp3Llzamtr0/LlyzV+/Hij4wEAAAAAgD7KPeLtlVde0W9+8xuFhYVp0qRJGjdunDIzM2WxWBgDh36ttbVVTU1NOnPmjI4ePao33nhDycnJ+vWvf210NMBrKMMAdCmHwyEfHx+ZTKYrXr9w4YL27t2r6667TuHh4XzTCQAAAAAAvMpms+nUqVM6fPiwDh8+rIqKClVUVOiVV15RbGys0fGAbuXeMfmP1uTefPNNXbx4Uffddx9rduizKMMAeI3T6ZTL5ZLJZOJDFAAAAAAAeN3BgwdVUVGh6dOnq6SkRGlpaZ4RiZcuXdKJEyc0atQog1MCxnnmmWdktVqVmZmp1NRUxcfH64knnlBUVJTmz58vp9P5dw+5A30BZRgAr+ns7JSv7+dHE/JkCQAAAAAA8KaysjINGDBAp0+f1n/+538qPDxc4eHhGj16tFJTU5WSksLaBPqdS5cuqbS0VGPHjtU777yj+vp61dXVyWq1qqamRkFBQXr22WcVFRXF+h36LMowAN2CD1IAAAAAAOBt7vWHtrY2HTt2THV1daqsrNSpU6dUWVmpJUuWaMKECUbHBLrVf//3f2v//v169NFH1djYqDNnzsjf319nz56VyWRSRESEYmJijI4JeJXv//8WAPjynE6nysrK9MILLyg1NVWLFi2SJIowAAAAAADgVS0tLXrhhReUkJCg5ORkJSYm6rrrrpPT6dTZs2dVWVmp9PR0o2MC3W7nzp3Kzs6WJL3++uuKj4/Xt771LSUlJXnew4Ps6OsowwB0Cfc84e3bt2vLli0KCwvTJ598okWLFik/P192u13Tpk0zOiYAAAAAAOijGhsb1dLSopKSEu3cuVNBQUGKjY1VfHy8EhISNGbMGAUEBBgdE+h2lZWVeuCBByRJe/bs0dSpUyXpivPBKMLQ13ESHoAu4Z64+vHHH2vWrFmKiYnR+PHjJUnl5eUqLCyUdPlDFgAAAAAAoKslJCTo0Ucf1Y9+9CPZbDadPXtWVqtV+fn5WrlypbZu3Wp0RKDbVVdX69ChQ9qyZYs+/vhjWa1WZWRkSJKnCAP6A3aGAegSZrNZknTu3DllZ2dr/fr1uv/++yVJRUVFmjNnjpHxAAAAAABAP+Dv7y9J6ujo0GOPPab4+HiVlZWppKREo0ePlsQ4OPQv4eHhevTRR7Vr1y69/vrram5u1o9//GOlpaUpMzNTcXFxCgwMNDom4HU+Lvd2DgC4Si6XSx988IHeffddVVRU6MUXX1RHR4cefvhhvfHGGxo4cKDREQEAAAAAQB9kt9tls9kUHBwsq9Wqu+++W+vWrTM6FtDjlJSUaNu2bdq/f78OHDigxYsXa8GCBUbHAryOnWEAuoT7qapZs2apoaFBDodDK1euVG1trZYuXaqBAwfy5BUAAAAAAPCKPXv2qKCgQDk5OTp06JDCwsKMjgT0SKNHj/bskrTZbLJarZKuPD8M6IvYGQbgqrk/LIuLi5WQkKCBAweqtrZWHR0dioiIUHBwsNERAQAAAABAH7Zlyxbt2LFDnZ2dOnnypAYNGqS8vDyFhIRo2LBhSkpKYhQcAPRjlGEAusw999yjxsZGjRgxQllZWRo3bpySkpI854kBAAAAAAB4U0NDg6qqqlRcXKzq6mp1dHSovb1dDz/8sKKjo42OBwAwCGUYgKviHn1YV1en1atXy263Kzk5Wfv27dORI0cUHx+vm266SXPmzDE6KgAAAAAA6KP+txFvlZWVKisr08yZMzm6AQD6McowAFfF4XDIbDbrueeek6+vr5YsWaK2tjbV19fr9ddfl6+vrxoaGrRgwQJlZGQYHRcAAAAAAPRhTqdTkuTj40P5BQDw4EQ8AFfF/dTV+fPnNWTIEElSYGCgEhMTZTablZmZqaioKO3Zs8fImAAAAAAAoB8wmUwymUyeIszpdIq9AAAAyjAAV8X9zeU3vvENbdiwQatXr9aOHTv0/vvv669//atycnJUV1entLQ0g5MCAAAAAIC+bMuWLXI4HFe89sViDADQf1GGAegSubm5evDBB1VdXa0///nP2rBhg7797W/LbDarrq5Oubm5RkcEAAAAAAB9THt7u2w2mz755BNt3rxZZrPZc62jo0Pl5eUGpgMA9BScGQagSzQ3NysoKEhms1mtra2ekYnt7e06cuSIsrKyDE4IAAAAAAD6mmPHjqmgoEBbtmxRRESEli9fLh8fH0VHRys/P18HDhzQsmXLjI4JADCYr9EBAPReLpdLPj4+eu+991RaWqqSkhJZLBZlZ2crPj5eWVlZCggIoAgDAAAAAABeMWTIEAUHB+v06dMaMGCAXnjhBQ0cOFAxMTFav3695s6dK0lyOBxX7BoDAPQv7AwDcFXOnz+vBQsWaP78+frtb3+rOXPmaN26dQoJCdGaNWs8O8QAAAAAAAC8Ze/evYqLi9Px48d16NAhnT59WsnJyZo9e7YGDhxodDwAgMHYGQbgK3E6nTKZTCooKFBubq6ysrIUFRWl73//+zKZTDKZTBRhAAAAAADAa9wTazo7O5WUlKSmpiYlJCRo/PjxRkcDAPQwlGEAvhIfHx9J0pEjR5SRkaFdu3YpLS1NkhQaGqqjR49K+rw0AwAAAAAA6EpOp1Nms1mvvvqqNm/erMGDBysmJkbh4eEKDw9Xbm6uEhMTjY4JAOgBKMMAfCXuMuzOO+9UYGCgTpw4obfeekvnzp1TWVmZli5danBCAAAAAADQl7nPANu0aZOeeuo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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import MultiLabelBinarizer\n",
        "mlb = MultiLabelBinarizer()\n",
        "df_numeric_skills = (pd.DataFrame(mlb.fit_transform(df_new['Skills'].str.split(',')), columns=mlb.classes_, index=df_new.index))"
      ],
      "metadata": {
        "id": "gMHBfV3sUc8k"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_numeric_skills.info()"
      ],
      "metadata": {
        "id": "e3l7nmLRXXLS",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ab5bec57-9911-4319-c43a-a65fe01350a2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 126 entries, 151 to 1065\n",
            "Data columns (total 43 columns):\n",
            " #   Column       Non-Null Count  Dtype\n",
            "---  ------       --------------  -----\n",
            " 0                126 non-null    int64\n",
            " 1   API          126 non-null    int64\n",
            " 2   ASP          126 non-null    int64\n",
            " 3   Android      126 non-null    int64\n",
            " 4   Asp          126 non-null    int64\n",
            " 5   BE           126 non-null    int64\n",
            " 6   BSC          126 non-null    int64\n",
            " 7   C            126 non-null    int64\n",
            " 8   CSS          126 non-null    int64\n",
            " 9   Codeigniter  126 non-null    int64\n",
            " 10  FBD          126 non-null    int64\n",
            " 11  FoxPro       126 non-null    int64\n",
            " 12  HTML         126 non-null    int64\n",
            " 13  HTML5        126 non-null    int64\n",
            " 14  Html         126 non-null    int64\n",
            " 15  Html5        126 non-null    int64\n",
            " 16  JQuery       126 non-null    int64\n",
            " 17  Java         126 non-null    int64\n",
            " 18  JavaScript   126 non-null    int64\n",
            " 19  Javascript   126 non-null    int64\n",
            " 20  Jquery       126 non-null    int64\n",
            " 21  Kotlin       126 non-null    int64\n",
            " 22  Laravel      126 non-null    int64\n",
            " 23  MCA          126 non-null    int64\n",
            " 24  MongoDB      126 non-null    int64\n",
            " 25  NET          126 non-null    int64\n",
            " 26  Net          126 non-null    int64\n",
            " 27  PHP          126 non-null    int64\n",
            " 28  Python       126 non-null    int64\n",
            " 29  RDBMS        126 non-null    int64\n",
            " 30  React        126 non-null    int64\n",
            " 31  SEO          126 non-null    int64\n",
            " 32  SQL          126 non-null    int64\n",
            " 33  STL          126 non-null    int64\n",
            " 34  Swift        126 non-null    int64\n",
            " 35  WordPress    126 non-null    int64\n",
            " 36  Wordpress    126 non-null    int64\n",
            " 37  android      126 non-null    int64\n",
            " 38  be           126 non-null    int64\n",
            " 39  engineer     126 non-null    int64\n",
            " 40  jQuery       126 non-null    int64\n",
            " 41  net          126 non-null    int64\n",
            " 42  testing      126 non-null    int64\n",
            "dtypes: int64(43)\n",
            "memory usage: 47.4 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Split the data into test and train \n"
      ],
      "metadata": {
        "id": "vYkyuJDvBwXN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#split data into test and train\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X_train,X_test,y_train,y_test=train_test_split(df_numeric_skills, df_new['Job Title'], test_size=0.2,random_state=42)"
      ],
      "metadata": {
        "id": "U0LK3lDBBvMK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(rc={\"figure.figsize\":(12,10)})\n",
        "corr = np.corrcoef(X_train, rowvar=False)\n",
        "sns.heatmap(corr)"
      ],
      "metadata": {
        "id": "T9icYNZr6Fgb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 689
        },
        "outputId": "f17ecd9f-413a-42ff-8df1-789472615860"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/numpy/lib/function_base.py:2691: RuntimeWarning: invalid value encountered in true_divide\n",
            "  c /= stddev[:, None]\n",
            "/usr/local/lib/python3.7/dist-packages/numpy/lib/function_base.py:2692: RuntimeWarning: invalid value encountered in true_divide\n",
            "  c /= stddev[None, :]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7b2e8941d0>"
            ]
          },
          "metadata": {},
          "execution_count": 27
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x720 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "accuracy_list = []\n",
        "X_train.shape\n"
      ],
      "metadata": {
        "id": "-WI91n8CDkCl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fa291bbe-a939-44bd-a225-b8fd0b863d54"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(100, 43)"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "PCA"
      ],
      "metadata": {
        "id": "B9JpcT6YSHMZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Find optimal no of components\n",
        "from sklearn.decomposition import PCA\n",
        "\n",
        "pca = PCA(n_components=X_train.shape[1])\n",
        "pca.fit(X_train)\n",
        "#The amount of variance that each PC explains\n",
        "var= pca.explained_variance_ratio_\n",
        "\n",
        "#Cumulative Variance explains\n",
        "var1=np.cumsum(np.round(pca.explained_variance_ratio_, decimals=4)*100)\n",
        "\n",
        "plt.figure(figsize=(10,7))\n",
        "ax = plt.axes()\n",
        "ax.plot(var1)\n",
        "ax.set_xlabel('First n principal components')\n",
        "ax.set_ylabel('Explained variance ratio')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465
        },
        "id": "NMGk5GSn0P80",
        "outputId": "a8ada212-0d5c-4c0d-be18-7ca2186b6ba2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Explained variance ratio')"
            ]
          },
          "metadata": {},
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#PCA\n",
        "from sklearn.decomposition import PCA\n",
        "sklearn_pca = PCA(n_components=20)\n",
        "X_sklearn_train = sklearn_pca.fit_transform(X_train)\n",
        "print(X_sklearn_train.shape)\n",
        "X_sklearn_test = sklearn_pca.fit_transform(X_test)\n",
        "print(X_sklearn_test.shape)\n"
      ],
      "metadata": {
        "id": "o_RMrQvuv0eN",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d177917c-c64c-419c-96bd-794134af7ec9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(100, 20)\n",
            "(26, 20)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from mpl_toolkits import mplot3d\n",
        "%matplotlib inline\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize=(10,7))\n",
        "ax = plt.axes(projection='3d')\n",
        "ax.scatter3D(X_sklearn_train[:,0], X_sklearn_train[:,1],X_sklearn_train[:,2], 'gray')\n",
        "ax.set_xlabel('$PC0$', fontsize=20)\n",
        "ax.set_ylabel('$PC1$')\n",
        "ax.set_zlabel('$PC2$')"
      ],
      "metadata": {
        "id": "7MeVIN7f7ULz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 428
        },
        "outputId": "e585c19b-a1cc-4ab7-ef9d-3a83d67f1d0e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, '$PC2$')"
            ]
          },
          "metadata": {},
          "execution_count": 31
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Decison tree model"
      ],
      "metadata": {
        "id": "b_WKD8mMGgUM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Decision tree\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.metrics import confusion_matrix,make_scorer, classification_report,accuracy_score\n",
        "\n",
        "depth = 28\n",
        "trainAccuracy = 0\n",
        "testAccuracy = 0\n",
        "\n",
        "clf_dt = DecisionTreeClassifier(max_depth=depth)\n",
        "clf_dt = clf_dt.fit(X_train, y_train)\n",
        "Y_predTrain = clf_dt.predict(X_train)\n",
        "Y_predTest = clf_dt.predict(X_test)\n",
        "trainAccuracy = accuracy_score(y_train, Y_predTrain)\n",
        "testAccuracy = accuracy_score(y_test, Y_predTest)\n",
        "\n",
        "accuracy_list.append((\"Decision Tree\", testAccuracy, trainAccuracy))\n",
        "\n",
        "sns.set(rc={\"figure.figsize\":(6,5)})\n",
        "df = pd.DataFrame({'Test Accuracy':[testAccuracy], 'Train Accuracy': [trainAccuracy]})\n",
        "ax1 = df.plot(kind='bar', stacked=True, color=['red', 'skyblue'], width=0.1, xlabel='Accuracy', ylabel='Percent', title='Accuracy for Decision tree', xticks=[])\n",
        "print(f\"Test accuracy is {testAccuracy:.2f} and Train accuracy is {trainAccuracy:.2f}\")\n"
      ],
      "metadata": {
        "id": "u1_WnrbNwtYn",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 353
        },
        "outputId": "a1127256-06a1-4a87-cd50-bfdd63cb8bb6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test accuracy is 0.12 and Train accuracy is 0.62\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Naive Bayes\n",
        "from sklearn.naive_bayes import BernoulliNB\n",
        "\n",
        "alpha=0.05\n",
        "trainAccuracy = 0\n",
        "testAccuracy = 0\n",
        "\n",
        "clf_nb = BernoulliNB(alpha=alpha)\n",
        "clf_nb = clf_nb.fit(X_train, y_train)\n",
        "Y_predTrain = clf_nb.predict(X_train)\n",
        "Y_predTest = clf_nb.predict(X_test)\n",
        "trainAccuracy = accuracy_score(y_train, Y_predTrain)\n",
        "testAccuracy = accuracy_score(y_test, Y_predTest)\n",
        "\n",
        "accuracy_list.append((\"NB(Bernoulli)\", testAccuracy, trainAccuracy))\n",
        "\n",
        "sns.set(rc={\"figure.figsize\":(6,5)})\n",
        "df = pd.DataFrame({'Test Accuracy':[testAccuracy], 'Train Accuracy': [trainAccuracy]})\n",
        "ax2 = df.plot(kind='bar', stacked=True, color=['red', 'skyblue'], width=0.1, xlabel='Accuracy', ylabel='Percent', title='Accuracy for Naive Bayes', xticks=[])\n",
        "\n",
        "print(f\"Test accuracy is {testAccuracy:.2f} and Train accuracy is {trainAccuracy:.2f}\")"
      ],
      "metadata": {
        "id": "mPwsCNwh1ud6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 353
        },
        "outputId": "b1a5d6b5-0ef9-48bc-e0d1-991dfd522666"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test accuracy is 0.12 and Train accuracy is 0.59\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Naive Bayes Gaussian\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "\n",
        "var_smoothing=0.05\n",
        "trainAccuracy = 0\n",
        "testAccuracy = 0\n",
        "\n",
        "clf1 = GaussianNB(var_smoothing=var_smoothing)\n",
        "clf1 = clf1.fit(X_train, y_train)\n",
        "Y_predTrain = clf1.predict(X_train)\n",
        "Y_predTest = clf1.predict(X_test)\n",
        "trainAccuracy = accuracy_score(y_train, Y_predTrain)\n",
        "testAccuracy = accuracy_score(y_test, Y_predTest)\n",
        "\n",
        "accuracy_list.append((\"NB(Gaussian)\", testAccuracy, trainAccuracy))\n",
        "\n",
        "sns.set(rc={\"figure.figsize\":(6,5)})\n",
        "df = pd.DataFrame({'Test Accuracy':[testAccuracy], 'Train Accuracy': [trainAccuracy]})\n",
        "ax3 = df.plot(kind='bar', stacked=True, color=['red', 'skyblue'], width=0.1, xlabel='Accuracy', ylabel='Percent', title='Accuracy for Naive Bayes', xticks=[])\n",
        "\n",
        "print(f\"Test accuracy is {testAccuracy:.2f} and Train accuracy is {trainAccuracy:.2f}\")"
      ],
      "metadata": {
        "id": "g2NAg3eofOKN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 353
        },
        "outputId": "cd9d75da-968a-4d2f-80db-7f77f574b82e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test accuracy is 0.12 and Train accuracy is 0.58\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#All charts\n",
        "sns.set(rc={\"figure.figsize\":(6,5)})\n",
        "acc_df = pd.DataFrame(accuracy_list, columns=['ModelName', 'Test Accuracy', 'Train Accuracy'])\n",
        "acc_df['Test Accuracy'] *= 100\n",
        "acc_df['Train Accuracy'] *= 100\n",
        "acc_df.plot(x='ModelName', kind='bar', stacked=True,\n",
        "            color=['red', 'skyblue'], width=0.5,\n",
        "            xlabel='Model', ylabel='Percent (%)',\n",
        "            title='Accuracy for all Algorithms', rot=45).legend(loc='best')"
      ],
      "metadata": {
        "id": "S2kn7HLQDB-z",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 422
        },
        "outputId": "e2c1573a-633f-4d49-876e-71af9e97fce7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f7b2de63a90>"
            ]
          },
          "metadata": {},
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "name": "Update_Job_rec_v2.ipynb",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}