Case2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Case2.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyMYu48pHM3+9TpOA2Ft5rpk"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "aEzWTRm61NbL",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        },
        "outputId": "f6921a4d-b641-4e9b-ec09-e3eecc2fe8d4"
      },
      "source": [
        "!pip install adjdatatools\n",
        "\n",
        "import sys\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "from tqdm import tqdm\n",
        "from datetime import timedelta\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.metrics import mean_absolute_error, mean_squared_error\n",
        "\n",
        "import seaborn as sns\n",
        "\n",
        "import statsmodels.formula.api as smf\n",
        "import statsmodels.tsa.api as smt\n",
        "import statsmodels.api as sm\n",
        "import scipy.stats as scs\n",
        "from scipy.optimize import minimize\n",
        "\n",
        "\n",
        "from google.colab import drive\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
        "import plotly\n",
        "import plotly.graph_objs as go\n",
        "\n",
        "init_notebook_mode(connected=True)"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: adjdatatools in /usr/local/lib/python3.7/dist-packages (0.4.0)\n",
            "Requirement already satisfied: pandas>=0.20.0 in /usr/local/lib/python3.7/dist-packages (from adjdatatools) (1.1.5)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from adjdatatools) (1.19.5)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.20.0->adjdatatools) (2018.9)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.20.0->adjdatatools) (2.8.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=0.20.0->adjdatatools) (1.15.0)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "        <script type=\"text/javascript\">\n",
              "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
              "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
              "        if (typeof require !== 'undefined') {\n",
              "        require.undef(\"plotly\");\n",
              "        requirejs.config({\n",
              "            paths: {\n",
              "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
              "            }\n",
              "        });\n",
              "        require(['plotly'], function(Plotly) {\n",
              "            window._Plotly = Plotly;\n",
              "        });\n",
              "        }\n",
              "        </script>\n",
              "        "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I3FwSqUC1pAK",
        "outputId": "4bd8a47d-803f-473b-c40b-e88d7f06989b"
      },
      "source": [
        "# load data\n",
        "import zipfile\n",
        "\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "data_zip = zipfile.ZipFile('/content/drive/My Drive/Colab Notebooks/case2_data.zip')\n",
        "data_zip.extractall('/content/drive/My Drive/Colab Notebooks/')\n",
        "\n",
        "dataset = pd.read_csv('/content/drive/My Drive/Colab Notebooks/case2_data.csv')\n",
        "dataset.time = pd.to_datetime(dataset.time)\n",
        "print(dataset)"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n",
            "                       time  src_ip  requests\n",
            "0       2021-03-31 13:53:30   25831         2\n",
            "1       2021-03-31 13:53:30   93262         8\n",
            "2       2021-03-31 10:55:00     618         5\n",
            "3       2021-03-31 10:55:00     716        15\n",
            "4       2021-03-31 10:55:00    1724         2\n",
            "...                     ...     ...       ...\n",
            "1264807 2021-03-31 09:41:30  105247        38\n",
            "1264808 2021-03-31 09:41:30  106205         6\n",
            "1264809 2021-03-31 09:41:30  106230         5\n",
            "1264810 2021-03-31 09:41:30  106414        14\n",
            "1264811 2021-03-31 09:41:30  106455         5\n",
            "\n",
            "[1264812 rows x 3 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DGEf-Rq4zoQc"
      },
      "source": [
        "In the request data, you need to find abnormal client behavior. By abnormal behavior, we mean a high number of requests, both in general and in short periods of time, or a small but constant activity.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zWcRrUeN9HQt",
        "outputId": "94741033-2380-4921-9f01-d52ed7878b6c"
      },
      "source": [
        "# Let's collect basic statistics of user behavior(the number of their requests, \n",
        "# the maximum number of requests within thirty seconds, \n",
        "# and the total number of time periods during which users made requests)\n",
        "\n",
        "clients_statistic = pd.DataFrame(columns=[\"max_requests_in_30s\", \"requests_count\", \"time_slots_count\"])\n",
        "\n",
        "g = dataset.sort_values(by=\"requests\", ascending=False).groupby(\"src_ip\")\n",
        "clients_statistic.time_slots_count = g[\"time\"].count()\n",
        "clients_statistic.requests_count = g[\"requests\"].sum()\n",
        "clients_statistic.max_requests_in_30s = g[\"requests\"].first()\n",
        "\n",
        "print(clients_statistic)\n",
        "\n",
        "print(\"----- time_slots_count count for ip \")\n",
        "print(f\"Time slots count mean = {clients_statistic.time_slots_count.mean()}\")\n",
        "print(f\"Time slots count std = {clients_statistic.time_slots_count.std()}\")\n",
        "print(f\"Time slots count max = {clients_statistic.time_slots_count.max()}\")\n",
        "\n",
        "print(\"----- request count for ip \")\n",
        "print(f\"Requests count mean = {clients_statistic.requests_count.mean()}\")\n",
        "print(f\"Requests count std = {clients_statistic.requests_count.std()}\")\n",
        "print(f\"Requests count max = {clients_statistic.requests_count.max()}\")\n",
        "\n",
        "print(\"----- Max requests in 30s for ip \")\n",
        "print(f\"Max requests in 30s mean = {clients_statistic.max_requests_in_30s.mean()}\")\n",
        "print(f\"Max requests in 30s std = {clients_statistic.max_requests_in_30s.std()}\")\n",
        "print(f\"Max requests in 30s max = {clients_statistic.max_requests_in_30s.max()}\")\n"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "        max_requests_in_30s  requests_count  time_slots_count\n",
            "src_ip                                                       \n",
            "0                        14              68                11\n",
            "1                        33              49                 5\n",
            "2                        11              13                 3\n",
            "3                         8              10                 3\n",
            "4                        14              28                 3\n",
            "...                     ...             ...               ...\n",
            "106741                   40              70                 2\n",
            "106742                    9              17                 3\n",
            "106743                   75             272                14\n",
            "106744                    1               2                 2\n",
            "106745                   14              29                 3\n",
            "\n",
            "[106746 rows x 3 columns]\n",
            "----- time_slots_count count for ip \n",
            "Time slots count mean = 11.848799955033444\n",
            "Time slots count std = 41.876593527856585\n",
            "Time slots count max = 3072\n",
            "----- request count for ip \n",
            "Requests count mean = 129.70492571150206\n",
            "Requests count std = 523.7784812642316\n",
            "Requests count max = 49146\n",
            "----- Max requests in 30s for ip \n",
            "Max requests in 30s mean = 25.819824630431118\n",
            "Max requests in 30s std = 27.06428500541991\n",
            "Max requests in 30s max = 2165\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 872
        },
        "id": "D-MDyvdQujgt",
        "outputId": "3324ab2a-2e07-45ca-b10f-9289d5907d0d"
      },
      "source": [
        "\n",
        "fig=plt.figure(figsize=(25, 15))\n",
        "\n",
        "fig.add_subplot(3, 1, 1)\n",
        "clients_statistic['requests_count'].plot(kind='box', vert=False, logx=True)\n",
        "fig.add_subplot(3, 1, 2)\n",
        "clients_statistic['time_slots_count'].plot(kind='box', vert=False, logx=True)\n",
        "fig.add_subplot(3, 1, 3)\n",
        "clients_statistic['max_requests_in_30s'].plot(kind='box', vert=False, logx=True)\n",
        "plt.show()"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 1800x1080 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o38VgtFL2Tg2"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DRqk0AhoLEh7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "04237337-89e9-4626-9c70-c3ec1395c575"
      },
      "source": [
        "# We will build paired graphs that allow us to establish mutual relationships \n",
        "# between different statistical parameters, as well as histograms\n",
        "\n",
        "cols = [\"requests_count\", \"time_slots_count\", \"max_requests_in_30s\"]\n",
        "sns_plot = sns.pairplot(clients_statistic[cols], height=7, )\n",
        "sns_plot.savefig('/content/drive/My Drive/Colab Notebooks/pairplot.png')"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1512x1512 with 12 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-_gfvfsa2wPB"
      },
      "source": [
        "В виду чрезвычайно больших величин выбросов, как в прочем и чрезвычайно большого числа одинаковых малых значений - гистограммы малоинформативны. Парные графики дают горазбо больше полезной информации, и позволяют отмечать взаимное отношение параметров. Например, легко заменить неожиданную линейную структуру на графике \"requests_count / time_slots_count\". Возможно это \n",
        "Мы видим, что абсолютное большинство пользователей:\n",
        "совершают не более трёхсот запросов в течение тридцати секунд\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H62RudSoYFdK",
        "outputId": "d9856e36-ce1b-4a26-9d14-36d080a0e3c9"
      },
      "source": [
        "# используем библиотеку автоматического нормирования данных:\n",
        "from adjdatatools.preprocessing import AdjustedScaler\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "    \n",
        "train, test  = train_test_split(clients_statistic, test_size=0.25)\n",
        "\n",
        "new_scaler = AdjustedScaler()\n",
        "new_scaler.fit(train)\n",
        "\n",
        "train_s = new_scaler.transform(train)\n",
        "test_s = new_scaler.transform(test)\n",
        "\n",
        "print(train_s)"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "        max_requests_in_30s  requests_count  time_slots_count\n",
            "src_ip                                                       \n",
            "58372                -0.032        0.121685          0.319444\n",
            "92210                 0.384        0.067083          0.055556\n",
            "49614                 0.480        0.173167          0.361111\n",
            "100573               -0.096       -0.027301         -0.055556\n",
            "3035                 -0.080       -0.021061         -0.027778\n",
            "...                     ...             ...               ...\n",
            "63822                -0.136       -0.031201         -0.055556\n",
            "44836                -0.032       -0.012480         -0.027778\n",
            "71182                 0.016        0.042902          0.069444\n",
            "17558                 0.080        0.032761          0.069444\n",
            "31499                -0.032       -0.004680          0.000000\n",
            "\n",
            "[80059 rows x 3 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TAy-RGgdp4Dp"
      },
      "source": [
        ""
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "clDBjZkNR1kq",
        "outputId": "e87365ac-0005-401a-e001-3adbd2b6253e"
      },
      "source": [
        "# Импортируем библиотеки\n",
        "from sklearn import datasets\n",
        "from sklearn.cluster import KMeans\n",
        "\n",
        "# Описываем модель\n",
        "model = KMeans(n_clusters=6)\n",
        "\n",
        "\n",
        "# Проводим моделирование\n",
        "model.fit(train_s)\n",
        "\n",
        "# Предсказание на тестовом наборе данных\n",
        "test_classes = model.predict(test_s)\n",
        "test_for_plot = test.copy()\n",
        "test_for_plot[\"classes\"] = test_classes.astype(\"str\")\n",
        "# Выводим предсказания с помошью графиков:\n",
        "cols = [\"requests_count\", \"time_slots_count\", \"max_requests_in_30s\", 'classes']\n",
        "sns.set(style=\"ticks\", color_codes=True)\n",
        "sns_plot = sns.pairplot(test_for_plot[cols], height=6, hue=\"classes\")\n",
        "sns_plot.savefig('/content/drive/My Drive/Colab Notebooks/pairplot.png')"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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IIYQQg6hk7roQQgghhBDiLCOJTiGEEEIMImlOIYQQQgghxNlGEp1CCCGEEEIIIYQQQoizniQ6hRBCCDGYDOkUQgghhBBCnGUk0SmEEEIIIYQQQgghhDjrSaJTCCGEEINILSIhhBBCCCHE2UY71AEIMdR8NbX07dxJIhzBNWUythEVqLXyX0MI8emmkrnrQgghzmFJRcFfXUPvjp0AuCZPwlpRjkotY4GEEOJsJtkc8anmr6ll/3//P5RoFIDmZ55jzN134Bg7dogjE0KIISZ5TiGEEOcw35Gj7P+fO0gmEgA0Pf0MY+65G/vIyiGOTAghxL9CEp1i2Ir5/fgOHcGzby/G3Dyc48Ziys05pefo3rotleQEQFFofuZ5bKNGyahOIcSnmuQ5hRBCnCnxUAj/kaP07tqNISMd5/jxmAvyT+s529e8nkpyAiTjcTpef0MSnUIIcZaTTI4YlpLJJB2vraX+oT+n2kx5uVTddQfGjIyP1EewqZlgQwMqjQZLSTHGzMxB++icTjIvnEffnj1Eu3sAiAeDJBXlVFyGEEKctVSySKcQQogzpGfrNqp/9ovUZ73bzZjv34UpL/e0nTMeCJy0Pebxotbr0JhMH7mvSHcPgbp6EqEg5oICzEWF8hwVQoghIolOMSxFOjpp+NvjA9pCzS0E649/pESnv6aW/Xf8L4lAEABDTjajv/s/qZelZCKBZ/8ButavJ9LdQ9r081CiUdrXvE7uksVo9PpTf1FCCCGEEEKIAaJ9fRz/yyMD23p68B87dloTnVkLL6Jny9bU58z589CnpbH71tvRp7kpWrkCx9gxqDSaD+wn3NXF0R//DN+hwwCotFpG33UHjjGjT1vsQggh/jlZaVkMS0klQTIWG9SuxOIffmwiQcsLL6aSnACR1jZ6d+9OffYfq+PA/34P35GjRLu6aH3pFdQGAyP/37dxjh9/ai5CCCHOYjIQRQghxJmQTCRIhCOD2z/Ce/+/wj66ipH/821so0binn4e+rR0Gv/2BNGuLvxHjnLgru/jrz32of34q2tSSU7onwJf/+dH/umIUSGEEKeXJDrFsGRITydr4UUD2jRmM+aigg89VonGCNQdH9Cm0moJtbSkPgfq6uF909M717+JtawMrcX8yQMXQohzhFRdF0IIcSbo3W7yrlgyoE2l02EuKTqt59UajaRNm8rou++k5Is307761YE7JJP46+o+tJ9Yn2dQW6i5mUQ4fKpCFUII8THI1HUxLKl1OvKXX4khM5OON9ZhKS4id+nlmPPyPvRYjclI5oXzqH/oz+jdbrIvXUQiFEKflkawsRFzQQEao3HQcVqb7UOnpgghxKeFjOgUQghxJqhUKrIumo/WYqFt1WoM2dnkL7sCS3HxGTm/Rq8naTSiddiJefqTltmLFqJzuYh7ffTt3Ye1vAyt+eSDIcyFgwdipM+ehd7pJObzo9Zq0ZgGf/cQQghxekiiUwxbWpsN+6iR6Ox2dC4nho9YhAggfeb5RLo6MWZlUv/nR0jG4+/0aWXM9+/GWlGGPjOTaEdH6pjsixfS+MRT5Fxy8Wmv8iiEEMOdJDqFEEKcbpGubvy1x0iEgtgqR5A+ZzYagx61TndG49BarRTfcD2H7rmXjHlzCdTV41t1YoRn6Ze+QPali05aYMhaVkrFf36dugcfIu4PkD7zAnIuXUTb6jW0PP8iOruNghWfwTF29Bm/LiGE+DSSRKcYlpLJJJ1vbqD21/+XakufPZPSL30Rnc160mOUeJxwWxtKLIYxK4vCG66j+qe/SCU5AeI+P707dpK//ErG/O938Rw4SKipCZ3DQee69f0vNQcPUnXXnegd9tN+nUIIMXxJplMIIcTpE+ns4vD9P8Z/tLq/Qa2m6rvfwTVp4kn3D7d3EPf70bldGFyuUx6Pc+J4xtz7fcJtbXSuXTdg2/FH/opz8iRM2VmDjtMYjWTOm4tj7BiUaAx9ehodb6zl2O/+0B93aysH7/4+Y+/9HvZRo0553EIIIQaSRKcYlsJt7dQ9+OcBbV1vbiT74oUnrWAY8/lpfellmp58mmQ8jmPsGMr+7RaiXV2D++7ooHvLVvRuF8acbOofephE8EThokBdPeHWVkl0CiE+1WREpxBCiNPJX1t7IskJoCjUPfhnrBXl6Gy2VHMykaB769vUPPBbEoEAhswMKm+7FVvliI99zkQ43P+u39aGzunCWlqMzuEA+pfOclSNIu7xDj4uFCYZi35g34b0dADifj+tz784cGMyiWffAUl0CiHEGSCJTjEsKeEwykkW8I6/p5J6IhIh1udBYzbhO1pD49+eSG0L1Nfjr6klY94c/DW1A/owZmZy+N77ARj5398akOQEQKVCY9CfwqsRQoizVzKZPOlUPSGEEOJfEfcPrkoe6eggEY4MSHQGGpsIHKvDnJ+H78hRIh2dVD/wGyr+898JNTSQTChYykqwlpR84PmSySSd696k9re/S7VlzJ9Hyc2fRWc9MWPMVJCH2mgc8F3ENXXyR15GS6XVorXbobllQLvWavlIxwshhPjXSNV1MSzpM9KxjqgY0KbW6zHl5QAQbGjk6E9+zo4vf5V93/kuiWAAncuZ2rfohuupeeA3eA8cJO/KpejT3Bhzcii8fiU9b29L7de5YSPpM2cMOE/2xQsx5uaexqsTQoizh5Ic6giEEEKci0wF+YOmD2RcOBf9O+/0yUSCnh07OfyD+2h6+hl0TicFn7m6f7/Zszh4x11U//xX1Pzq1+z75nfwHTn6gecLt7VR96c/D2jrfH0tweMNA9rM+fmMvusO7GNGo7VZyVq0kJKbP3vSYqYnozEaKVxxzYBr09ps2MeM+UjHCyGE+NfIiE4xLOmsVsq//lWan30evd2O1uHAXlWFOT+feCBAzW9/h+/gIQBCDY1U/+IB8q9aRuPfniBj7ly8Bw+ihMN0v7UFncOBe9oUrJUjaH72BcJNTanzdG/cxPif/4S0C2YQPH4cS0kJtspKNAbDUF26EEIMK8lkElmvUwghxKlmLS1h5Ldv59gfHiTW20fGvLnkX7kUtbb/K2qgrp5D378XFAWAnq1vo1KrKfrcjUS7uon7/am+lGiU1pdewVpRjkp98rE8iVAYJRIZ1B5ua8deNWrA7AX7yEqq/t93SISC6BwOVBrNx7o2++gqxt77fTwHDqK1WHCMrjppdXYhhBCnniQ6xbBlzMzEPmIEdQ89jBIOY60op/zr/waQSnK+KxmLoXM4yFt+Jab8PDpeX5vaFvN4aF/zOvFAEK1xYALTOXkSppxsrCXFMOP8031JQghx1knKiE4hhBCngVqnI236edhGVqJEoujT3KkkJ0CwqTmV5HxX99a3sVSUY60oR63Xo0RPrJsZbm8nqSj/NNFpyEjHXFJMsK7+RAwGA5GODsKtrZjeN6NLYzKiMX20UZwnuzb7qJHYR438RMcLIYT45GTquhi2AnX11P72d6n1cfzVNdQ//AhqrRaN2Txo/7jXS9fGTaDWnLRgUdoF51N4/UqMOdmgUuE+/7yPNQ1FCCE+jZKS6RRCCHEa6Z1OjFmZA5KcAFrL4DUt9S4nkfZ2Gh59nIw5swZsy160cFAf76Wz2Sj9/Oewv/M9wZSfR9EN19H2yipi3sEFiIQQQpydZESnGLbCra2D2vp27ET1lS9R8vnPUfOrXwNgyMgg75qr0Oj15C27EkNaGj2b3iJv+ZV0rl0HajVZCxdgG1GBMTOTcff9gEQ4jM7lQqOXokNCCPFBFFmkUwghxBCwlJZgHzsG7779/Q0qFTmXXUrT0/8gEQjinHwjfbv3osRj5F+1DNekiR/apz4zA0N6OvlXLyfS0UH9w4+gMZnQp6V95LjCHZ0E6utRolEshYUyJV0IIYYZSXSKYUvncg1qMxXkozEaSZ91AYasTHwHD2Mu7Z+C0rVnL1qrBZVaTfbiyzj2m9/imjIFjdmEa/IkjJmZ/f06HOgcjjN9OUIIcVaSNKcQQoihYEhzM+Ib/453/wGCTc2o9Xo63lhLIhBEY7FgyMhg/E/uI6ko6E/yveG9Qi2tdG3cRO/2HTgmjAeVis71G9C5nFT+1zcwfsSK6qGWVg7dcy+hpmYA1EYjo+++E3vliH/5eoUQQpwakugUw5altISMeXPoXLse6K+6XvaVL5EIhejauIm+vftInz2TYP1xGh79W+q43u07Gfmdb1Jx63+iRKOY8nIxuN1DdRlCCHFWkxGdQgghhoohLQ1LRQX+2mM0/f2p/ka1mqKbrseUm4P2JMtZvV/U4+Hoz36B/2g1AL4jR7FVjWL8T3+MzmHHkN4/mjPc2Umstxedo38q/cl4DhxIJTkBlHCY5qf/geW2W2WmmBBCDBOS6BTDlt7hoOQLN5O14CJifh/G3FwMLhdH7v8Jnj17cU2ehM5qpfGdROi7kvE4/ppaIh2ddK7fQNH115K1cMFHehESQggxkKQ5hRBCDCWt0UDU46HwumtRolHUBgM6m42O19cS7enFOWEc1soRaI1G4kqCWCKGSXdiDf5wS2sqyfku38FDKPFoKsnZt2cvR3/yM2IeLxqLhYr//DruKZMHFTYKt7cPii94vBElEpVEpxBCDBOS6BTDmk8dZ6uunU2+7SzrPo/c6hrsVaOwjxqJEovhOXAQlWZwTS21VoeluBj76NHUPvAbrOXlJy1QJIQQ4oNJMSIhhBBnWiIaJVh/nHBbO2q9jrjHS8O6NwHIv3o5x373R2J9fQA0/+MZRtx+K/6qAp4/8hqesJdrcmaRgQlrRvY/rcKuUvW3hzs6qPvjn4j5/P3nDgQ4+qOfMv5nP8acnzfgGHvlSJrf10/GvDnobNZTePVCCCH+FZLoFMOWklRYXbOeZw6t4rbCpUTv/wO1gSAqjYaC665Fo9cR6egiZ8liah/4beo4tdGIMTuL7s1bCdQfp/gLnyPc3iGJTiGE+ARk6roQQogzKakodK1/k5r3vN9nzJ2DY+wYPPsPoNLpUknOdx1/+K8cvGkGtb3H+JJ+Kn13/ZzuYBC9283I//4mjgnj8ezek9rfMWE8SUUh1NaGZ+8+rOXlpM+8gMDxBro3vYUSjRLt6hqU6EStJm/5lbStWo0SjpB2wfno09JIJhKoNJrTel+EEEJ8NJLoFMNWT7CPF4++TrmzEMObu/EHggDkLL6U9lWvEunoACA4spIR//UNujdvQWM2Y8rLpfa3v8M1aSIak5Hut7ZQuPLaobwUIYQQQgghxEcQbmvn2O8fHNDWuW49RTdej2vyJJKKMuiYRDiMWW3gqvTpeH/0F5KJBADRnh4O//B+qu78Lp59++jbtQdzYQFKJELrSy8T7enFu/9Aqp/MC+dhLS/Df6wOndM56Dze/QfoXLeerPkXotbr6d2xC9+RatKmT0Nns53iOyGEEOKTOPk4fiGGAbVKjV6jI8vgItHYhsZkxDZlIoaCvFSSE8B3+Ajh9nZCzc149uzl+MOPEPf56XxzI66JE/AeODhgOklSUUiEIx87nkh3Nz1vb6dj7Xr8x+oId3SgxOOn5FqFEGK4eXfGusxcF0IIcSbFA0GUaDT1WWuzYps2GWNBHg2PPU5SUVBpB47XyVpyKVmZBWRF9Kkk57ui3T0kYzG0VhvR7m7aVr1K60uvYMrLG5DkBOhYt56MeXMp/9pXMeXlDorNWlZKtKeHludfpOmpfxCoq8M5cbzUAhBCiGFERnSKYcttdrJy7FJePPoGl127hGqVh+cCR0jTVzP3W19E+cNTxHp6AUjGYgSPNwzs4J1v55biIpKKQt/efag0GjrXrcdfXUP6nNmkXzADY2YWv6UAAAAgAElEQVTGh8YS6e7h6M9+idZqJX3WBfTt2UPM4yURCJK79HLM+XmEOzqI+3zoXW70btcpvx9CCDEUZI1OIYQQZ5IhIx1jTg7h1lbMSxZwfKSbt/zVFMb3c8HXb6DziVUU33QDPdu2E+3tI/OiC4nHo9h++wy25Uvoel9/GosFrc1GIhgkUFd/YsNJRoaiKGitFpJAqKkZS0lxalMiHEbncuKefh49W7YCYMrPJ/eyS2XauhBCDCOS6BTDUn1vI4qiUOws4PYZX+btpl08fuBVAGqBnepD3HbdErSrNqIdV4mxtBh9ejrRrhOvNtYRFYTa2ylYuYIDd95N5oVz6XjtdWIeLwCBunpCTU2UfvmLaPR6Qm1txAMBNAYDKq0WY1YWMZ+PQO0xlEgU24gKIh2dHL3/JwDo3W5yr1hC3R8eJG/5Mo7c/yPiPj/69DQq/+sb2KtGnenbJoQQp5ykOYUQQpwunpCXnpCHuBInGo9iN9kpcOZQefutND7zHJsrDKxqWgtAfV8T23Um/nPRTOoe/DP2qlG4pkzCX1NL94aNqLRafDU15N1xG90PPU64sQmVVkvRDdeBWo0pP4/sSxfRuX4DiUCARCiM3u0m2tOTisc2uopoTy9aq4VQWztKPI61rBSVWk3frj0c/uH9OCdOoODazwDgnjYVc2HBSa8tEY2i1ulQqVSn/0YK8SmUTCSIejxojEYZVS0GkESnGHa6/D30hjw8ffBlmrxtTMgezYzCSQP2SSgJlPJ8Ni8uY0fPAUoDXr5829fwrF6H7/ARnBPGYR87BiUcIdzSSs5ll5CMx1NJznd1vLGO3CuWEGpopO7Bh4h292ApKSZz/oUkohEi7Z20r34VVCrKvvplmp9+JnVstKeH3h07SSYSePbvJ/5OpcZoVzeH7/8x4398P4b0tNN+v4QQ4nSSEZ1CCCFOhzZfJ/W9jTx58CV6Qx6m50/kgsIpdGkNpJeV4vzCCtasuWfAMcFYiO5MPcZkEu+Bg2TMm0PbS6+gc7vhK1fzUO922hv2MeuG85hn/yzWTj/xcJjD9/2IQHUNereLwuuvpXvLVowVpRSWFtO7dRuB+uPYq0ahd7vQOez07dlL14ZNqLVa8pZdiXPqJDr27MI6dwb+HXvp27UbAJ3NirW0ZECM4fZ2uja9RdfGt3CMriJrwXzMhYUfeC+CTc307thJqKkJ1+RJ2EePlkruQnyAUFs7rS+8ROe69Rhzsim+6QbsY0bLDwsCkESnGIY6gt38bPMfCccjqFQq3mrcjifiZUnlAp4/sgaAKXnjeL72DToDPSwsn41apea1aA2zLplDMhalb89e2l5ZDUD+1cvxHDhA/vJlFFz7GcxFRSSVBEokSjwQIO7xcvSnvyD5znqbgbp62l5ZjXVEBeaCPFCpUOt0RHt7B8UaOHaM9DmzSb5nHSGAWG8f0e5uSXQKIc56Cam6LoQQ4hRLJpM0eJr5+ZYHUZIKKpWK145tJKbEWVg2G71WR2/Uj06tJaEMXHNTbzLjmDwJ0zWX0q6OYbr+CjROB/c2vEBc6X+fX1W/AX+Wl8u7M/Bs3EzgWB0A0Z5e6v/4EIXf+w5r+w5S8dAb6JxOrGUleA8cJNzWRt6yK+jdvhMUBSUapfHxJ9DkZtI5tQQSCpq54zFv2Efw9Y0osdiA2BLhMHUPPUzP5v6p7YHaY3RteZtx934PQ3r6Se9FuL2Dg3d/n0h7fw2C9ldfo/izN5J7xRJJ2ghxEkosRuMTT9L5Rv9ob391DQf+93uM//F9A5abEJ9ekugUw06bv4P5pRdg1pmJK3GMWgNvHt9KievEtJBSVyHr6jZzccUcnj7wMpFEFJveQtmEfNi1h0QgkNrXd7Sa7Isvpumpf6BEIiQTCZqfeY5kLNb/q+4N16eSnO8KNTeTNmM60e5eLGUlxPq8mHIGL0huq6zEWlZO498eH9CuMRnR2qXyohDiHCB5TiGEEKdYX9hLR6CbSyrmDnjn39y4k1A8xIuHX2dnyz4uGzGfpw++nDou3ezGZ9Gg3DCfv+59HE/Yi06j47qMy8kJZdLoaUntu6ljL4vHf5nAXx4bcO5kIkFHQy0+Rwz7+HF0rV2fSoQC6Ox2EsHggGMCu/dhr28g1NqK+6bPoFq6EKPdSc+kEg7WvInDaKfMXYSxw5tKcr4r2tFBsLHpnyY6A3X1qSTnuxoe/ztpH7GWgBCfNpHubjrXrR/QlozHCTY2SaJTAJLoFMOQ2+Tk+cNraPG1A6BCxfXjl+E2uZhddB6V6SUUOPLIt2fTF/LypSkrafV1kASeOryaGxbPx//E86n+TAX5dG3YiO/QYQqvu5aGR/+W2hbt6SXu9b4/BDRmM8l4HI3ZRNr06STjcZREjMz58+hYux4UBVNBPtmLFhLzBShYcTU1v/x1/8FqNWX/dgvG7OzTep+EEOJMUGTquhBCiFNMr9GRbU3n9dqNNPvagP53/hsnLMeoMfL8kTUoSYXLrQv43MTPUN19DIfJjlFjoNHXyt6aw3jC/e/wsUSMh/c9wzVjLucJz4nvAFa9hYC+v2r7u0tMAah0OjQVxVi89YRmF+Mw6QiWZRPSKGSb06HTnypqmjomPxsWTMFgMbHf34Liqycw1oLJczyViB2TWclXRi4DtXpQoaMPKlYUjYUHtSXjcXjfSFYhRD+1To/OZh20LJ3GZByiiMRwI4lOMez4Iv5UkhNAr9XT4mtjfHYVMwonc7yvmWcOrSYcD5Nnz+a12o0A6NRaVoxbSqItcuJYtxtH1SiOvNj/AqK8b4o5QO/OXWQuvIiOV19LteVdsYS+vfuwVZSjACq1mnBzK8GGRgquXg70/5J0+N77KVhxDZnz5zHuJ/cR7enFmJmJKT9PppoIIc5q767NKXlOIYQQp5pFbyYYC6WSnABJkqyqXodupJbZxeexrm4zu1r3M6/0fPId2XQHegjGw5S5C3n92KYB/SVJ8v5X72vHLqU51kPlzdfT8svfpR5o7tu+wk8P/J2+sJfWvAkYxxnY0NBf9NSkNXL7lJvRuZzEevsA0OVk01LqpFPp4cktL5EkiUal5poxl9Pia6cirYTq7jr2dxyhpdJH9iUX968bmuZGd/UiPC4DjWkaNJEANoNlQIw9wT6O6v0YLGYSgROjSLMvW4QhQ0ZzCnEyhjQ3JZ//HEd/+otUm7WiHEtJyQccJT5NJNEphh1/9MRDfnx2FSPSSnm7eTd/3PEY0/MnYdaaSDO7qMoop8XXwSUV81hTu4GYEueFw2v41vibyP3aLaj1ejRGE2qTEZ3DTszjRa3XDzpfuLWVnMWX4po4gWhPLzq7nZjXi7kgn+Znn6fytltRolEinZ34q2vwV9ekjtXabGitVnR2O4Y0WY9TCHHukWJEQgghTodQLDKorS/spc3fSZ4thzJXMdPyJ7Dq6Hra/J1MzBlNRVoJPUEPLqOD3rBnwLFpJic3TriKQDSIXqOjvrcBi97Cr4I7+epdtxPu6EQpyqJVE2WhbTZHuo5RkVbMY3ufPRFTPMyfDz3HV+78BqrjbfRGvdSZIqj0MZ7c35/kBEgkFZ49tJoF5bNwm5xUd/dPfQ/GQ1RdcxX2qlHUu5L86OATxL1xOA4zC6eyYtwS4okENoMFm8FKi6+NPzWt4ZavrcS6+QDJpjbU08djmjHjA0eBCvFp555+HmN+8D0C9cfROx1YKyqkPoZIkUSnGHZsegsqlQqdWktleil/3/8iAHm2LCx6CxkWN281bmdt3Vto1VqsejPXjFnMY3ufpS/spTHRR8HkCsrcRQDE/H4KVlzDsT/8ib5du/t/ZV31KiSTaExGCj5zDeGWVrq3bSd/2ZX07dxJ95atRLu6ybp4AfaxY0gEg/Tt2Yt7+nn0bHln3R2VivyrlmEfXYVapxuq2yWEEKeVFCMSQghxOhQ4clCpVAN+UDuvYCK7Ww8ys3AKK8Zezo83/Y5Ion9GVrOvjbkl59PU18rlIy/iiX0vEElEKXLmc3nlRbR423nl6Fq+PO16vBE/47Or0Kg0FDpyaU0mCVscPLb3cQKx/kEVFxRMIc3sGhRXg6eZnYF6HHk2/rZvI2M1pSzUlDExbQS7uo+mkp2heBiT1kh3qL9gqU6jI5qI8ULzW8wYP4WH1/8qVRwJYGPDNkrchTyy+2ny7Tl8eep16DQ6QvEwP218nuKqXDImFXG4by/ftc47bfddiHOBxmDAMboKx+iqoQ5FDEOS6BTDTkyJc/34ZbR42tjRsg+AJZULKHEV0OrrQKWC8womUZVZQTgexWG04Q37KXDkkkgkcJmdhGJhmr2t5Nlz0FmtpM2YgTEvj0h7B8b8PAyZmSSCQZKKQv3Dj+CaPIn086dT84tfkUwkyFlyGY6xYzEX5KOz2cBhJ/+qK/HVHMM1cQIAxuxsjHm5GDNOvrC4EEIIIYQQ4uQKHbl84/wv8MS+F+gJ9zEtbwJWvRklqRBTEhzuqk0lOQHybNnkWDMpduajVqn55sxbiCSibGvew++3P0qaycX1E5Zh0OgIRIOEYyFAxfNH1jAms5KuYE8qyQmwqXE743JGDYprdMYIcm2ZbGvaw51lK/A8/hy+oz9h0eiRzL10Cb9sfIm4EsdhtFPkzGdN7QZKXAXMKZ6OJ+ylK9hDQ18zHYGuQX0H3pm51uRt5YcbfsM987/J5Nyx7GjZR723hXpvCwvKZpFjk2nrQgjxSUmiUww7Zr2Jbc17mFV8Hu2BLkpdhajVan6x5U+pfRaPmM/e9sM0eJoBuGnC1YzOKGdizlja/V14Il4q08vIs+cAoHc60DvHAeDZt5/jDz9y4oRqNaa8XOr+8GCqqfGxJzD+RwaOqhMvP+aCAswFJyq/CyHEp4EiIzqFEEKcBjU9DfgjQT4/+TMc7Khhc+MOmn1t3DThah7d+wxXjlqU2jfbmsGiEXP5044nUiMqp+dPpMxVxNq6twBo9XcQTkT46eY/EkvEADBoDVw9+jJ8ET/bmncPiqEn2MeSkQt45ehaYkqcPFs20/InsKNlP/Pd4+i89/+IefqnyAf27MfQ3sn/fPOLHI20U+ouojvQwyUj5mLX29Br9Gxq2E5ciWHUGPnsxGvwRnzsaTtIbc9xoL8I07sC0SA9oV4+P+laLiicSn1vI+VpxYxML8OgNZyemy6EEJ8CkugUw0o8Eceg0TMtfwJqVEzKHUOmJY2fbPrDgP1erl7LsqpLUonOV2vf5OqqSwjFI9gNFrxRH7FE/GSnQG0Y+OJgzs/DX1MzaL+21a+RPnsWaq38NxFCfHpJ1XUhhBCnQzKp0OBt5pXqtVxQOIU5xdPJsWfiDfuIK3FC8RAZljSSySTXjbuS3+94LJXkBNjStIsiZ37qc749h5ru+lSSEyASj9DoaUFRFEZmVHCg48iAGFQqFW837eaWaTfS5u+g3d/FX/Y8TUJJMDuanUpypvpra4fWVtRpGp7c/wLlaSVkWzNwmRzcu+HXJJNJZhefx8bGt9l4/G2SwPkFk6lwF2M32tjcuOPEuVFh0VtIt7iYaZnKzKKpp/gOCyHEp5N6qAMQ4r3UKjXH+5rRqbW8cOQ1ciyZ+COBAS81AEpSGdDmi/gJxsI8e2gVJp2RhKKQZT35YsSm/Dwy559Y9ybm82HMyhq8X16uLAIuhPjUkzU6hRBCnA6BWJAMs5siVx77Og4TU2L9Ix+TUOjI45Wja5lZOJXrxl1BfV8Tvoh/UB/v/T5g1plQkgpLRy5kWdUlLKu6hAyzG380QJOvlcm5Y8h/Z7aXVq3lqtGX0ehpoc3fSbO3jb/vf5H19VtIKAkAfKrooPOhVuMhyqN7n2Vq3gReqV5LIBri5aNrmZA9GpfRQZmriC1Nu0gkFZSkwqaGbWRaM9Cg4Xhfc6qr5aMvJdc28DtId7CX3a0H2N16gO5g76m4zUII8akjQ9XEsNId6kNJKiSUBPNKzsekN9Hoa8Wmt+CLBlL7OY128mzZqc/zSs4nriQ43teMWqWh3F1EviP3pOfQms0U3XAd7vOmEWpu6V+H0+Wk4411xH0+ANRGI9mXXIxKpTq9FyyEEMOcTF0XQghxqvWFvahVGp468DKheJgydxEqlYoMs5sCey7Xjr2CNbVv8kr1Om6edA31fU1UpJWkqptD/wCJUlchnxlzOTEljsNgxWaw8YcdjxGKhdFpdCwbtQir3sxf9z5LMgkrxi6hwdNMXEmwtXEXc0qm4zTaqUgrZnnVJWjUGna1HqC6u45dSiuLLllI1yuvps5pu3whL/oOAHCw8yilrkJiSozdbQf471n/RqOnlQMdR7mkYi6BaIg1tW8CsK15DzeMW8bIjHK6Qz2kmd0UO/IwaPWpvpu9bdy34Te0+TsByLFm8s1Zt5BnP/GdRwghxIeTRKcYVqKJKGa9iT/t+jvBWIgyVxEVaSV8ftIKusN9BKMhzDoT2dYMOoLdZFrSmZw7ltGZI9jbfpjytCJ6Qr0UOz94LU29y0XaedMGtI394T0Ejh0jqShYSkqwFBWezksVQoizgkxdF0IIcappVGo8YS+heJjK9DKKnfk8uf8lkiQxag18cfJKFlfOZ3HlfOr6GtnZuo+VY69Ao9JwuKuGNJOLGycsJxAN0extY0bhZExaEz/b/EdMGiNOg51WfwdPHXiJ22fewmUjLsQX9fPijtfoDZ+Yjv7onme47YIv8cstD1HoyMOg1XFhyfnMLT4fg0ZHvMJO+pzJqMJR9Al4O9lC7bGdAOg1eqKJGDq1jun5k3j+yBoOdBzt77gZxmdXMSF7NLvbDpBjy6Q92MnU3PGM0paf9J681bgjleSE/jVH97UdkkSnEEJ8TJLoFMNKQkmw6ug6grEQTqOdpSMXYtFb2FC/hXXHtwBg0Oj52nk30exp5fyCiWw8vh2n0Y7TYGdx5QL+uusf/MeMz33sc5vz8zDn553qSxJCiLNS8p0EZzyuDHEkQgghzjU2gxWtuv+r6ITs0Tyx//nUtnA8wmP7nuW2GV/koV1PMjFnDAtKZ/HY3mcZn13FsqpLKHUV8o+Dr7C48iKqMirQqDT4on4ur5yPRq3BrDURV+Ksq9/yTgX2CBa9aUCSE/qnvrf4Orh69GXsbN3PmMyRrK7ZQH1fIwAuk4MlIxfyXMNq5pWcT5m7HOPxDcSUOJXppTiNdva1H2Jm0TR+v/3RAX3vaTvI1aMvo8HTTIW7hLreRuKJOEatka5gD06jnbK0YrKt/RXWD3eeqBmQY8tifukF1PU28tfd/2Ba/gTK04pRq2TlOSGE+DCS6BTDSkJJ0OxrA+CzE64hEAvS5GvFbDCzctwVvHJ0Lb1hD0/sf5GV467gZ5v/iFVnxmVy4DTY+OnmP3JR2SwyLOlDfCVCCHFuiCck0SmEEOLUy7VncePImzBoB88c6A72Eo3HaPK2MSqjgmZfO9eMuZyY0j+CMhQLcfXoxTx54EXq+5r4/OQV/GnH4ySSCgvLZ+Mw2PFHA8wvnYlRa8AT9jI+exRlriLsRivl7mKSQENfM5nWNH6++UEMGj2lrsJUkhOgN+Shprsei97MM4dWc924K7l50grcZidKUsGut+IyOrDpLVxcPocjXbXU9zWljs935HD5yAU0epqZlDuWJk8Lv3n7kdTaotnWDL4z5+tkWzM4v2AS+9oPo0LFwrJZ/GX306n9Xqp+g7vm3cqI9NLT+0cRQohzgCQ6xbCSZkqjzFXEsd4GHHoTv972MLFEDJvBSiwR55oxl/GX3U/T5G3FYbChVWv4/OQVbG7YgdvsYm7xdGYVTsVlcgz1pQghxDkhJiM6hRBCnA5+F399soZllw4eoJBjycDq6eVrY5fzdk8tuXorB9sOMcqaRYXKhDWsELAlaPG1c2nZHDbUbyWRVJhZNJX63iaOdh9L9bWofA5NvjZ+tOl33DHnP3jm0Cs8eeAlAMZkVqJBDUlYXjaH1rB3UCxN3hayrRk0e9vwhL3otXoSSoJnDq7Cojczv2wmzx1aTaO3lbFZI5maN4EnD7zIiLRStjTuSlVa39CwjSWVCwYUUGrzd1Lbc5xsawYTc8Ywv3Qmx/ua2Nt+aMB+CSXBW407JNEphBAfgSQ6xbDS3h3lhrKLMGt1vNG4kwnuUi51lGLqbiduddCnqCl05GIzWOkJ9fHNC25hU8M2NjVu5+4Lb6PMXYhOoxvqyxBCiHOGjOgUQghxqoUjcf726lECoRgbt/pYNnsZL9S9QCwRw2V08IWSOTjjCk5UFAdUBA/tRJuWi8WVQe+6R1FCfhyuHH51+b/h76xn+zsJyhxrFhuPbxtwrjW1G7h94krc3j4M+zZxhTWPrDwTq5p3sL/jCJXpZdw56Qbs21+jtmoib7wv1pHp5bzdvJvlVZdwuLOWF4++jkatYWn5XM7PHsv2pl24tCaq4xG2Nu3CHwnwhUnX0hPu4x8HX0n144v4iSvxQfciGA0BkGZ2cfPEa+gO9fLHHY8P2i8SP0kVeCGEEINIolMMK7FIDHvtERzFI1CSSZZr0mHVw0D/P9aszCKWz1xMxGhkVfVaytKK2dV6gAp3CQWOHElyCiHEKfLuOJJ4QooRCSGEOLUC4Rg1Tf3rZdY1+XHvyuDOaUuJxIKYbeXoDE4ixzeR8HYS2PMaAPG+diINh3BOXwI6A2qDmcBbz6CzOLht5OX8966/oCQH/zg3Kb2CnP1vEzq4kRBgAC4ZM4sp4z7Dds9xzEkoUOmJuLIoiyZZXDqbl+s2oiQVJuWMQa/RY9aa6Ar2cqCzv9hQQknwj6OvU2p0M3nDKs5Ly+XG6dfzQs8RXmnYyg2jLuEnh1cPisWiMw/4rFKpKHblpz7rtDqybZlcOmIee9sPDdh3ZtHUf3o/E+EA0Y4GEoE+dM4s9BkFqLTyvUgI8ekkiU4xrFgMWvpKLsIW3M/ynEn0Pf4D3vsVO9FxnOKEho3+Hg50VuOJ+JlROJnZxdOx6M3/tF8hhBCfTEKRRKcQQohTKxRJMHVUFut2NqFSgdmgw6J3cLBbxxPP1JBQkvzii5MJPf6tgQeqQJ9Vgm/vG0Q7G7FPvRS1wYKuo5EfTPkcW/zNOIx2PO+Zgn5JxmhCm/9v4Pn3b6B0xDTSjlajhHzERkwjEfAQ3bGaOdklzLrw88QjQdK1ZjSxMLMmVHHf9r8Muo5jnhYygWjTEWLP1XPFhTfiKplDsqmaO8dew57uWsJKnJfbdhNPJBhtTOffJ6zgkSOvYNNbWFm1mOw+D+FwNbq0XDRGCwBVmRV8c9ZXeenIa+g0OhaPmM+ItJKT3stEJETfxqfwbH23oJOKjKX/gW3MrE/89xFCiLOZJDrFsKLTazFHAiTtOXT7NcQmr8R8bB2JjhPr7BhjMZ6u7p8GUuYuYkHZHLJtUnxICCFOB0WRqetCCCFOrc7eIFNGZZLm0FNZnMbabU3s6Tbx4Iv7uP7ikUyozKDP34PZlYWSOYqAqxyDEiLDrqejoZ5w9jRyxlxIYMs/iLRUAyqs4+dxyajpTB53DS82bKHa18rsvMkUGpx0nSQGJRbFOuoCQg0H8e5YheO8ywk1HibR2Yhx84u4R80gGe6i+80ncCz6IuXuQrqbewf0ka23okSCqE02bBPmo9UZWGAZgUpnwrf7VcoObESlM3DBzOUYs0qJtB1nTDLBT0evQDFZ8W9+ls7DW9DYXKRf/AWSGh06mxudI4MpuWOZmFVFIuQh1lxDsGkNWmc2xtxyNGZ7KoZYZ8N7kpwASbpW/R5j3gh0rqzT8veD/gSrSqVGrTectnMIIcQnIYlOMaxo1GriWjPVPRGsCQ99ukwOF13PWPcm1IdfR6U3onKmoyQV3EYHMwqn4DBahzpsIYQ4ZykyolMIIcQpFonGKMmxYtRr8AfjXHZBCXq9mp9+YzbRaII+f4RjTXFGzvsuf37xIMc2ecjPtPK5xVXo7GoisQSOhjXvJDkBkvj3vIHenYvD7+GzeRNJjFiIrquFaP0+tK4c4r2tqfMbS8ajtTiJhnzo03Ix5leiUmtwzbwatdFCtK0WrdlOnCTuBZ8j0dfO1aMWUGRwcsTbQigeZkXuNHIiMdSzrkFtcdL7+sMokSCo1Lhmr0ClNUBSIRkN0ffGX0m75Mso3k78R7fjmrkc/D1YK6dhqZhK6NhOEv4+Ake2Eqrfhz67lPSFN6OxZ+DZ9CS+na+mYrdPvQz3vOtQ6/oTjIng4AJKyUgQJRw4LX+7RDhAsGYnni3PodIbcV2wDGPRWNQyVV4IMUycs4nOuro6vv3tb9PX14fT6eS+++6juLh4qMMSHyJJEnu8B8P2/yPRUU+WSk3R5MvpKZtHmuLDNnYOoWSS28+7GbclDXUSTDrjUIcthBDnnnfym1KLSAghxKlWkGVhX00v1c0eRhQ4eemtOg7WdTO6JI2LphXyw4e3MX1sDrurOznW4uGiaYWY9Fp+/dRenDY9V19YgdLTPKjfUG8nCU8HkdZqHFMvo/OFB0Clwj3nWiKtNURaarGMmYXGaKX9yR+STMTQOjJxTLuMRKAX787VaKxuTIWjaH/qPlxzr6Nv87M4Z1yJcesrTKnZwexRF6Ax5+N5/v/wkASNFve860HzzlfrpELv+sfIuOJW/PvWQqK/AFG8t41A9TZc05fS/crvSb5TXMg2aSE6Vw6hxkOE6vYAEG2toe2Je8hcfju+nWsGXKN328vYxs3FkN1fgV3nyuo/d+JEoSNdWh4aR9op/7sBhI7tpvO5n6c+tz1+DznX34WpaMxpOZ8QQnxc6qEO4HS58847WblyJatXr2blypXccccdQx2S+AiCwQjh7c+T6Kjvb0gqhLc/hzPZh2vm1cR727Ea7YzWOTHH4xRnFA9luEIIcU5TqUBJyohOIYQQp1a3N8bfX69GDTz1RjWb97Xi8Ud5a18rv3tmHxdNK+K8qmwO1vWQ7jRi0mt5YeMxerxhjjV7+dFfd9A9Ysmgfv1pshkAACAASURBVD3GXLoK5hJtOkwSFSQVUBL0rP0rsb52jIVVGLJK6HnjLyQTMQDing58e9eRCPkxlU4g1tmAxuIEwLfrVVyzriZ4eDP+vWtRgl50VgeeDU9w4hfBOH2bnsI6euCamAlPO8b8kanPGosTc/lUejf8PZXkBPDtfBWVRovenTPgeCUcIO7pOnGelCSJcDD1SZeeT/ZV30JjdfV/zigkc+l/oDU7PsZf5KNR4lE8b784qD1wdNtJ9hZCiKFxTo7o7O7u5uDBgzz00EMALF68mO9973v09PTgdrtT+3m9XrzegUP929razmisYqB40Ie+ee+gdn2gHdQ5GErGo9Ib0Zms5JhkyroQYmidy8+RZCKOKqmQiMeGOhQhhDinncvPkn+mqy9EZ18Ip81AW3dwwLb2niBOqx61WkWW28z4inQ27W0ZsI+ShGMeLZPc+SR6mgBQF4xll9eNy6LFjgq0A9eOjLbVEfd0oc8eXNQn2l6Hdexswg39lc6T76xPnQj50ZhsRFprU/smT/JcVEJ+1PqBs8xURivJWAToT0aqLQ40sQgJf++g45PxKKg1g9o1JisaezoJ74lVRjX2dHTu7BPnUakxl08i7+b7SYT8aK0uNGbboL5OBZVKjfoky4ap3ymiJIQQw8E5mehsbW0lKysLjab/YaHRaMjMzKS1tXVAovPhhx/mgQceGKowxUmEkgb0mWVwfM+Ado0zC7R6kkEvGosNrSQ5hRDDwLn8HFHiEdQkiQX8Qx2KEEKc087lZ8k/o9P2f09Tq1Un3a5Wq1i3o4mr51ewt7oTu0VPjzc8YJ+kSsPeshvJGuFFUWl5u0nFmo2dfOuyTAxj5xMJ+LCOm4d/79r+A1RqXHOuRXWStSR17hw0tnRCtbtQ6Qyo1P0TH61VF5AI9PUnIZVEfzcaHajU/aNF36Gxp6NE34lPrcU5/XK09gwso87HXD6JRMCDWqMl7OtC584h1tP6nrOrUJvsqI3mATFZx12Izp2La+ZV+PdvINJSjSG3Ateca9HZBxdi1drcaG3uQe2nkkqjxTl9KaFju1PXr9IZsZRPOa3nFUKIj+OcTHR+VDfddBNXXnnlgLa2tjauu+66IYpIGExGAiMXY+2qJxHw9LdVzsCYWYQSVzDlV6JSnfyFSAghzrRz+jmSSKBBIRo6PcUMhBBC9DunnyX/RE6amYJMG3uru5g5IZeNu0+M2LxoagE6rYa6Vg8XTslnXEUGk0Zm8YsndvHuaioZTiNuhxGPT80PXmwm8U7hvPFlLorynCSj0wm+/itc865Hn12KWqtDpdGhJBLo0guwT7kU7/aXAVDpTbgvvIG+XWswFIzEOnomnm0v45i+FCUaxr//TWyTLsb3zv6+fetxz7+R3jefIBkNobG5Sb/0K6g0OvSZxah0etRGK3Ff1/9n796j7Krru/G/9zmTTC5kEhIgVwRF0CiKaAq11htWxBaVKCqCSvWxYH1UnmXBsvRnQC0tBMRLKQu1Vmj1qY+XgkKRaMFaq6JQSxUFFAUEkhFICLlOJnPO/v1x5pLJZTIDOTlnJq/XWpCZvc+c/Z2NK9t5z+fz/WTdrTekMmV6Zj7/pJQpst/iF2T64b+X1Tf8ffrWPZxi0pTs/6I3pJg8JRt+8YMccOL/Tn3TulS7Dsy0Q49MdfrMVDqnZtIBBydlPdUZczK5iZPUR2PKkxZnwVv/Kpt+c1sqkzoz9cnPHtwvFKAdFGU58TbfWr16dV7xilfkRz/6UarVamq1Wo499th861vfGlbRuTMPPPBAXvayl+XGG2/MokWL9tKK2dYd96zOpC1rM2nTw+mcOi0ds+dn+vTOTN2vq9VLA9itifIcueSzN+XWux7OCUfPyZ+e9ketXg7APmWiPEtG8vPfrM7P7n44RaXInJlT88jazZk/Z1r2mzopHR3VlGWZjo4ik6vVFJUi6zdtzT0PPpZpUzvylPldqXZUsm5jb3q31vPYhi2Z1tmRhQdOz4zqlkzbtCqVjs7Ut2xMZcp+qW1cm6I6KZUp+zU6FqbOSLnpsUar96y5Kabsl9S2pizKFEVH0rclZVkmfb2p9/WmOm1m+h57uLF/54zZmTR7QVKd1Hj/zumpbXg01SnTUkyflfrGx1KkTNE5LWW9nqIss3XNg+mYMScdsxek3rMxZb0vtXWrU0yemsrMOSl6t6Tes76xnun7p3PBYSl20soOwO5NyIrOOXPmZPHixbnuuuvymte8Jtddd10WL16825CT9rD4yXOSzElyWKuXArDPKst6Jhd92bSxZ/cvBoAxeuZT5uSZTxnbZPDnPu2gUb5y3u5fMlbznpw87Zjdv27Ogh0OTVmwzc81MxpDgzL30D2zLgCGmZBBZ5Kcf/75Offcc3P55Zenq6srF110UauXBADjRlmW6Ug9PT2CTgAAYHyYsEHnYYcdlq985SutXgYAjE9lmUrq6d28udUrAQAAGJVKqxcAALSfsl5PRyXZ2iPoBAAAxgdBJwCwo7JMx6SO9G7pTW3z+lavBgAAYLcEnQDADsrUM6laZOvkGem57+etXg4AAMBuCToBgB2U9TJTqvVszpT0rl7Z6uUAAADslqATANhR2R901idl6+oHW70aAACA3RJ0AgA7KMsyk6tJT9mRngfuaPVyAAAAdkvQCQDsoCzLTOkos7E36Vu/NvWeja1eEgAAwIgEnQDADsqyns5qUiTpmzE/vY880OolAQAAjEjQCQDsoKzXU1SKdE4q0rffQel96L5WLwkAAGBEgk4AYAdlvZ5KUcmUSZX0TpmTR1f+Mo9ufqzVywIAANglQScAsIOBis6uqdX8rj41d939w7x/xQW5b60WdgAAoD11tHoB7aZWqyVJuru7W7wSANrJvHnz0tGx+8fmRHmO9PVuSW9nkcc29uZrd9Xy3mlljjnoqCz7t4/l2XOelmfOPiKzOrty4NTZmVyZlKIoWr1kgLa3rz1LANizRvsc2ZcVZVmWrV5EO7n11ltz2mmntXoZALSZG2+8MYsWLdrt6/bkc+Q9r/2DPfI+o/Xk+zdl1vq+JMm3nvaH+UntKcPOv2nBv+TrC6amrIwu1DzpprU5pLt3j6+zlX4677g8vN8hrV7GPmX25K+1egmQv/2XH+yR92nFswSAiWO0z5F9maBzOz09Pbn99ttz4IEHplqt7tVrd3d357TTTssXv/jFzJs3b69eu924F0PciyHuRYP7MGRv3ovR/va0lc+RPcX/xnbPPRqZ+zMy92dkE/n+7EvPktGYyP+tW8U93bPczz3PPX1iVHTunruznSlTpmTJkiUtXcO8efMk9P3ciyHuxRD3osF9GNJO96IdniN7Sjvd13blHo3M/RmZ+zOyffn+TKRnyWjsy/+tm8U93bPczz3PPaVZDCMCAAAAAMY9QScAAAAAMO4JOgEAAACAca96/vnnn9/qRTCks7Mzxx57bDo7O1u9lJZzL4a4F0Pciwb3YYh70Rzu6+65RyNzf0bm/ozM/dl3+G+957mne5b7uee5pzSTqesAAAAAwLindR0AAAAAGPcEnQAAAADAuCfoBAAAAADGPUHndvr6+vLAAw+kr6+v1UsBYBzyHAHgifIsAYDHR9C5ne7u7rzsZS9Ld3d3q5cCwDjkOQLAE+VZAgCPj6ATAAAAABj3BJ0AAAAAwLgn6AQAAAAAxj1BJwAAAAAw7gk6AQAAAIBxT9AJAAAAAIx7gk4AAAAAYNwTdAIAAAAA456gEwAAAAAY9wSdAAAAAMC4J+gEAAAAAMY9QScAAAAAMO4JOgEAAACAcU/QCQAAAACMex2tXgA0Q+9jj2Xjr3+T3kcfzZS5czP9KU9Jx7SprV4WwIRSlmU23XtfNt53XyqTJ2f6U56cqfPmtXpZAADAPkrQyYTTt3Fj7vvHL+Shf7tp8Nih73hbFvzxK1NUqy1cGcDEsv7Ou/LzZR9Ovbc3SdI596A887wPZerCBS1eGQAAsC/Sus6Es+m39w8LOZPkvqu+kJ7u7hatCGDiqfX25v6v/stgyJkkW373UB67/ectXBUAALAvE3Qy4fRt3LTDsXLr1tQ297RgNQATU9nbmy2rVu1wfMvDD7dgNQAAAIJOJqCpC+anOnX4fpzTDj0knQcd1KIVAUw8Hfvtl7nH/9EOx2c+68gWrAaA8eryr/5P/u+KO1u9DAAmCEEnE87UBfPzjPP+v0w/7LCkKDLrec/NEe87K5O6ZrR6aQATygF/+IdZ+LqlqUyenEkzZ+bws96T/Y44vNXLAmAc+eYP780NP7y3xasAYKIwjIgJqWvx0/PMj56X2sZNmdQ1I9UpU1q9JIAJp/OAOTnkzadm3itPSKWjmsn779/qJQEwDk3qUH8DwJ4h6GTCmjR9eiZNn97qZQBMaEWlkikHHtDqZQAwjnVUBZ0A7BmeKAAAALRMUbR6BQBMFIJOAAAAWqZetnoFAEwUgk4AAABapiwlnQDsGYJOAAAAWkbOCcCeIugEAAAAAMY9QScAAAAto3UdgD1F0AkAAEDLGEYEwJ4i6AQAAKBliqLVKwBgohB0AgAA0DJyTgD2FEEnAAAAADDuCToBAABomULvOgB7iKATAAAAABj3BJ0AAAAAwLgn6AQAAAAAxj1BJwAAAC1ji04A9hRBJwAAAAAw7gk6AQAAAIBxr+2Dzi1btuS8887L8ccfn1e96lX50Ic+lCS555578sY3vjGveMUr8sY3vjH33nvv4NeMdA4AAID2UZatXgEAE0XbB50XX3xxOjs7s2LFilx77bU566yzkiTnnXdeTj311KxYsSKnnnpqli1bNvg1I50DAAAAACaejlYvYCQbN27MNddck+9+97sp+neoPuCAA7J69er84he/yOc///kkyYknnpiPfvSjWbNmTcqy3OW52bNnD3v/devWZd26dcOOdXd374XvDICJwHMEgCfKswQA9py2Djrvv//+zJo1K5dddll+9KMfZfr06TnrrLMyZcqUzJ07N9VqNUlSrVZz0EEHZdWqVSnLcpfntg86r7rqqlx22WV7/fsCYGLwHAHgifIsAYA9p62Dzlqtlvvvvz/PeMYz8pd/+Zf5n//5n7zzne/MJz/5yT3y/qeffnqWLl067Fh3d3dOO+20PfL+AExsniMAPFGeJQCw57R10Dl//vx0dHTkxBNPTJIcddRR2X///TNlypT87ne/S61WS7VaTa1Wy0MPPZT58+enLMtdntteV1dXurq69va3BcAE4TkCwBPlWQIAe05bDyOaPXt2jj322Hz/+99P0pimvnr16hx66KFZvHhxrrvuuiTJddddl8WLF2f27NmZM2fOLs8BAAAAABNTW1d0JsmHP/zhfOADH8hFF12Ujo6OLF++PF1dXTn//PNz7rnn5vLLL09XV1cuuuiiwa8Z6RwAAADtoyzLVi8BgAmi7YPOgw8+OP/0T/+0w/HDDjssX/nKV3b6NSOdAwAAAAAmnrZuXQcAAAAAGA1BJwAAAAAw7gk6AQAAaBk7dAKwpwg6AQAAaJmi1QsAYMIQdAIAAAAA456gEwAAAAAY9wSdAAAAAMC4J+gEAAAAAMY9QScAAAAAMO4JOgEAAACAcU/QCQAAAACMe4JOAAAAAGDcE3QCAAAAAOOeoBMAAAAAGPcEnQAAAADAuCfoBAAAAADGPUEnAAAAADDuCToBAAAAgHFP0AkAAAAAjHuCTgAAAABg3BN0AgAAAADjnqATAACAlilbvQAAJgxBJwAAAAAw7gk6AQAAAIBxT9AJAAAAAIx7gk4AAAAAYNwTdAIAANA6phEBsIcIOgEAAACAcU/QCQAAQMuUSjoB2EMEnQAAAADAuCfoBAAAAADGPUEnAAAAADDuCToBAABomdIWnQDsIYJOAAAAWqZo9QIAmDAEnQAAALSMgk4A9hRBJwAAAAAw7gk6AQAAaBmt6wDsKYJOAAAAAGDcE3QCAAAAAOOeoBMAAAAAGPcEnQAAAADAuCfoBAAAoGXKVi8AgAlD0AkAAAAAjHuCTgAAAFqmaPUCAJgwBJ0AAAAAwLgn6AQAAGCvK8vG7pz26ARgTxF0AgAAsNf155yDfwLAE9XR6gXsznHHHZfJkyens7MzSXL22WfnhS98YW677bYsW7YsW7ZsycKFC3PxxRdnzpw5STLiOQAAANpXX62eVY9szMFzZ7R6KQCMM+OiovNTn/pUvv71r+frX/96XvjCF6Zer+ecc87JsmXLsmLFiixZsiSXXHJJkox4DgAAgPYwUMhZblfS+e0f/zbvWn7T3l8QAOPeuAg6t3f77bens7MzS5YsSZKccsopueGGG3Z7DgAAgDaxi571Lb21vbwQACaKtm9dTxrt6mVZ5nnPe17e9773ZdWqVVmwYMHg+dmzZ6der2ft2rUjnps1a9aw9123bl3WrVs37Fh3d3dzvxkAJgzPEQCeqH35WVJu9+fgcZt2AvA4tX3Q+cUvfjHz589Pb29vLrjggnzkIx/Jy1/+8j3y3ldddVUuu+yyPfJeAOx7PEcAeKL25WdJuYuksyj2+lIAmCDaPuicP39+kmTy5Mk59dRT8+d//ud561vfmpUrVw6+Zs2aNalUKpk1a1bmz5+/y3PbO/3007N06dJhx7q7u3Paaac16bsBYCLxHAHgidq3nyVl/7+3r+CUdALw+LR10Llp06bUarXMmDEjZVnm+uuvz+LFi3PkkUemp6cnt956a5YsWZIvfelLOeGEE5JkxHPb6+rqSldX1978lgCYQDxHAHii9uVnyUBF546d6o0D9XqZSkXoCcDotXXQuXr16rznPe9JrVZLvV7PYYcdlvPOOy+VSiXLly/Peeedly1btmThwoW5+OKLk2TEcwAAALS3vloj6KzV66lUqi1eDQDjSVsHnQcffHCuueaanZ577nOfm2uvvXbM5wAAAGi9wS06tyvprNXq/X+WmdTWP7EC0G4qrV4AAAAA+55dTVev1cthfwLAaAk6AQAA2Pt2kWMOVHT29f8JAKMl6AQAAKBlti/s7KsPDSMCgLEQdAIAALDXldv9OaBW07oOwOMj6AQAAGCvG9yjc7uSznpd6zoAj4+gEwAAgJbZoaJT6zoAj5OgEwAAgJbZfo9OU9cBeLwEnQAAAOx12wecAwamrtd39QIA2AVBJwAAAHvdrmLMgUJOresAjJWgEwAAgL2vLFNkm6FE/epa1wF4nASdAAAAtEZhGBEAe46gEwAAgL2uTFIUOyaddUEnAI+ToBMAAIC9riyTSpGU2yWdA0OItK4DMFaCTgAAAPa6sixVdAKwRwk6AQAAaBv26ATg8RJ0AgAA0BI7KegcmrpeCjoBGBtBJwAAAHtdWTaGEW2fZw7s0amiE4CxEnQCAACw15UpUxSNj7ZVr5epFEOBJwCMlqATAACAliiyY0VnWZapVCoqOgEYM0EnAAAAe1+Z/orO4er1pFotUqroBGCMBJ0AAADsdWWSneScqZdlqpUi9freXhEA452gEwAAgL2uLMtdDiOqal0H4HEQdAIAANAaRWMo0bbK/orOmtZ1AMZI0AkAAEBLVIpi+6HrqZfpb10XdAIwNoJOAAAA9rqyfxjR9nFmvV6mYhgRAI+DoBMAAIC9riyTYifjiMrBYUSCTgDGRtAJAADAXlemTNGfc25bvVmv9w8jUtEJwBgJOgEAAGgb5cAenXJOAMZI0AkAAMDet02QuW3xZr0sU9G6DsDjIOgEAABgryvTGEZUZPhAoro9OgF4nASdAAAA7HWNfTkHks6hULOsJ5WKqesAjJ2gEwAAgJZoVHQWwyo6y4HWdUEnAGMk6AQAAKBlimLHPTq1rgPweAg6AQAA2Ot2VbBZN3UdgMep6UHnmjVrsnHjxiRJrVbL1772tVx99dWp1+vNvjQAAABtqkyZohj6bPAjU9cBeJyaHnSeeeaZue+++5IkH//4x/MP//APufLKK3PhhRc2+9IAAAC0sSLFDq3rZRl7dALwuDQ96Lz33nuzePHiJMk3vvGNfPazn81VV12V66+/vtmXBgAAoF0N5pjDhxHV62WqRZFSRScAY9TR7AtUKpVs3bo199xzT2bMmJEFCxakXq8PtrMDAACw7xmIMRsVnUOhZr0sU6lUUlPRCcAYNT3ofNGLXpSzzjora9euzR//8R8nSe6+++7MnTu32ZcGAACgTZXlNnt0lsOPV6sqOgEYu6YHnRdccEGuvvrqdHR05DWveU2S5NFHH8173vOeZl8aAACANjc0kKihLJNKUaQm6ARgjJoedE6ePDlvfOMbhx079thjm31ZAAAA2tiwAUTbHK+XZaqVIjrXARirpgad/+///b9cffXV+dWvfpVNmzZl2rRpOfzww/Pa1742b3jDG5p5aQAAANpcURQpUgzbo3Ng6rqKTgDGqmlB5yWXXJLvfOc7edvb3panP/3pmTFjRjZs2JA77rgjV155Ze6///78xV/8RbMuDwAAwHiwXev6UEWnoBOAsWla0PnVr3413/jGN3LQQQcNO/7MZz4zL3zhC/PqV79a0AkAALCPGggyi2zXxl6WqVSK1FV0AjBGlWa9sd++AQAAsCtl+gcRFcP36CzLpFopUvczJQBj1LSKzpNPPjmnn3563v72t+dpT3vaYOv6nXfemSuvvDKvf/3rm3VpAAAA2l1/jlls17ter/dXdAo6ARijpgWd55xzTg4++OB87Wtfy9133z04jOipT31q3vKWt+SUU05p1qUBAAAYB4qiP+TcbhhRtVJJ39Zai1YFwHjV1Knrp5xyyh4LNC+77LL87d/+ba699tocccQRue2227Js2bJs2bIlCxcuzMUXX5w5c+YkyYjnAAAAaL2BaLPYoXW9TKWS1Ov1ViwLgHGsaXt07syaNWty5513pre3d0xf9/Of/zy33XZbFi5cmKTxwDvnnHOybNmyrFixIkuWLMkll1yy23MAAAC0h3K7Ks6BY2WSSlFE5zoAY9W0oPPXv/51Xv3qV+foo4/Opz/96Xz3u9/NK1/5yrzxjW/MH/3RH+WXv/zlqN6nt7c3H/nIR3L++ecPHrv99tvT2dmZJUuWJGlUjt5www27PQcAAED76J9FNBh6lmXj80qlSM3UdQDGqGmt6xdccEFe//rXp1Kp5IILLsiHPvSh3HzzzanVarnwwgtz6aWX5oorrtjt+3zyk5/Mq1/96ixatGjw2KpVq7JgwYLBz2fPnp16vZ61a9eOeG7WrFnD3nvdunVZt27dsGPd3d2P91sGYB/jOQLAE+VZkv7R6w1lWaYoihQphlV8AsBoNC3o/PnPf57Pfe5zqdVq+Zu/+ZssXbo0RVGko6Mj/+f//J8cf/zxu32P//7v/87tt9+es88+uylrvOqqq3LZZZc15b0BmPg8RwB4ovblZ0lZNjLOIkOt6/WBY5WkJugEYIyaFnQO/Cauo6MjU6dOzZQpUwbPTZs2LT09Pbt9j1tuuSW//vWv87KXvSxJ4zeb/+t//a+85S1vycqVKwdft2bNmlQqlcyaNSvz58/f5bntnX766Vm6dOmwY93d3TnttNPG/P0CsO/xHAHgidqXnyWNis1i24LOwZ8jK0WR0iwiAMaoaUHnwQcfnJUrV2bBggW55ZZbhp276667Mnfu3N2+xxlnnJEzzjhj8PPjjjsuV1xxRZ761Kfmy1/+cm699dYsWbIkX/rSl3LCCSckSY488sj09PTs9Nz2urq60tXV9QS+SwD2ZZ4jADxR+/qzZCDkLPvnrtfLslHRWTQ+BoCxaFrQuXz58l0+sB999NGcddZZj/u9K5VKli9fnvPOOy9btmzJwoULc/HFF+/2HAAAAO2h3MknZdmYuF4UReqGEQEwRk0LOg877LBdnvuDP/iDYZ+fccYZ+cxnPrPb97zpppsGP37uc5+ba6+9dqevG+kcAAAAbaA/xyyKYjD0rNcHKjoLFZ0AjFml1QtIkltvvbXVSwAAAGAvG2xd7w81y7JMpVKkUkRFJwBj1hZBJwAAAPuWgX05tx1GVC8bU9grRTEYfgLAaAk6AQAA2OsaOWax3bHG1PWiSOqmrgMwRoJOAAAAWmIg5hwo3hyaum6PTgDGri2CTi0JAAAA+6YixWDQWZbpr+g0dR2AsWuLoPOd73xnq5cAAADAXlSWjQ05i2Jov86yv6KzUjT26wSAseho9gV6e3tz9dVX54477simTZuGnVu+fHmS5Mwzz2z2MgAAAGgjZbbZoXOgdb3eGESkdR2Ax6PpQee5556bO++8My996UtzwAEHNPtyAAAAjBeDFZ0N5eAenUmppBOAMWp60Pm9730vN954Y7q6upp9KQAAAMaLwRxzaPJ6vX/qeqWiohOAsWv6Hp3z589Pb29vsy8DAADAONLYorPo/7gcOlY02tcFnQCMVdMrOk866aS8613vylvf+tbMmTNn2LnnP//5zb48AAAAbawYKuhstK6nSFHE1HUAxqzpQecXvvCFJMmll1467HhRFLnxxhubfXkAAADaUDnUu56B4s364B6dhanrAIxZ04POm266qdmXAAAAYJwZaFNvDCPatnW9SKUoDCMCYMyavkcnAAAA7EyR/n06d6jojD06ARizplR0vvKVr8w3v/nNJMmLX/ziFNtuurKNf//3f2/G5QEAABiHBio6C8OIAHgcmhJ0fvSjHx38+OKLL27GJQAAABjHyoHe9QwWdKYsy1SKpGIYEQCPQ1OCziVLlgx+fMwxx+z29WeccUY+85nPNGMpAAAAtKEy/a3rRX/omUa4WRRFKpUiCjoBGKu22KPz1ltvbfUSAAAAaJGBUHNoQFGhohOAMWuLoBMAAIB9TH+Oue1Mh3pZpkhhGBEAj4ugEwAAgL2uTDmwRedg63rZP3W9oqITgMdB0AkAAECLNKo3h4YRJRloXVfRCcAYtUXQWXqAAQAA7FN29mNgvSxTKfpb11V0AjBGbRF0vvOd72z1EgAAtvGLHwAAIABJREFUANib+gcPDXycDAwjKhqt63JOAMao6UHn5z//+dxxxx1Jkttuuy0veclLctxxx+W///u/B19z5plnNnsZAAAAtKGiKAZb1xvDiJJKxR6dAIxd04POK6+8MosWLUqSfOxjH8uf/umf5s///M/z13/9182+NAAAAG2qzFCQObCdWb1epihMXQfg8Wl60Ll+/frMmDEjGzZsyF133ZW3vOUtef3rX5977rmn2ZcGAACgTZVlUqTxz9CxMpX+qeulik4Axqij2ReYP39+fvKTn+Tuu+/OkiVLUq1Ws2HDhlSr1WZfGgAAgDZVJv0T1ocGE9XLJEXRP3W9hYsDYFxqetD5/ve/P+9973szefLkfOpTn0qSfOc738mznvWsZl8aAACAtja8pnOoonOonR0ARqvpQeeLX/zi/Od//uewYyeccEJe+cpXNvvSAAAAtKttcsyBUHNg6npRGEYEwNg1fY/OY445ZodjkyZNygtf+MJmXxoAAIA2VaZMMdC63n+sXg4/JuwEYCyaHnRu3bp1p8fq9XqzLw0AAEAbG2xa788zy/pA0FmkUhQmrwMwJk1rXT/11FNTFEV6e3tz2mmnDTvX3d2do48+ulmXBgAAoM0NZJiN6s3GJ/UyKfrjz0qlv6LTHFsARqlpQefrX//6lGWZn/3sZzn55JMHjxdFkTlz5uT3f//3m3VpAAAAxoOi8a+B0LPsb11PkkrFPp0AjE3Tgs6lS5cmSY466qgcdthhzboMAAAA41BZlikG6zcbGnt09ld0FkVqgk4AxqDpe3Tecccd+fWvf50k+c1vfpM3v/nNectb3jJ4DAAAgH1Ysc3U9XqGgs6KPToBGJumB52f+MQnMnPmzCTJ8uXL86xnPSvHHHNMPvzhDzf70gAAALSpgQizyI5T15NGRafWdQDGommt6wPWrFmTAw44IFu2bMl//dd/5VOf+lQ6Ojrs0QkAALAvKxuDiLZNOrffo1PrOgBj0fSgc/bs2bnvvvvyy1/+Ms961rMyefLkbN68ebA1AQAAgH3PwM+ExTbDiLadul4UUdEJwJg0Peh817velde+9rWpVqv5+Mc/niT5wQ9+kKc//enNvjQAAABtbKB6s+wv6dy2orOqohOAMWp60Pna1742r3zlK5MkU6dOTZI85znPyaWXXtrsSwMAANCmBvfo3GbsernN1PXCHp0AjFHThxElSU9PT1asWJHPfvazSZK+vr7UarW9cWkAAADaUKNdvdjm4/7W9W0qOk1dB2Asmh50/vjHP84JJ5yQa6+9NpdffnmS5L777sv555/f7EsDAADQtsoMzCIaUK+Xg3t0VipFarV6S1YGwPjU9KDzr//6r/OJT3win/vc59LR0eiUP+qoo/LTn/602ZcGAACgnRVJimJwMNGwqeuFPToBGJumB50PPvhgnv/85yfJ4F4rkyZN0roOAACwDxvoSi8ytF/ntq3rFcOIABijpgedhx12WL73ve8NO/aDH/wgRxxxRLMvDQAAQJsqs03ben+eue0woophRACMUdOnrp977rk588wz85KXvCQ9PT1ZtmxZbrrppsH9OgEAANgH9Q8jKoqk7E8662U5GH5WKoJOAMam6RWdz3nOc/KNb3wjT33qU/O6170uixYtyle/+tU8+9nPbvalAQAAaGON4s1isI29LIe2PKtUivQZRgTAGDS9ojNJ5s6dmz/7sz/bG5cCAABgHBio4iy22aRz+2FE9VJFJwCj1/Sg85xzzhn8jdz2li9fvtuvf9e73pUHHngglUol06ZNy4c+9KEsXrw499xzT84999ysXbs2s2bNykUXXZRDDz00SUY8BwAAQOttm2EOtq7Xt9mjs5L01QSdAIxe01vXDznkkDzpSU8a/Gfq1Kn5j//4j8ycOXNUX3/RRRflG9/4Rq655pq8/e1vzwc+8IEkyXnnnZdTTz01K1asyKmnnpply5YNfs1I5wAAAGgD/RPWiwyFnvVyaEBRtVJJTes6AGPQ9IrOd7/73TscO/nkk/N3f/d3o/r6GTNmDH68YcOGFEWR1atX5xe/+EU+//nPJ0lOPPHEfPSjH82aNWtSluUuz82ePXvYe69bty7r1q0bdqy7u3tM3x8A+y7PEQCeKM+SRtI5ULc5rHW9kvT01vKqv/h6vvRXf5zpUye1bJUAjA97ZY/O7S1evDg//vGPR/36D37wg/n+97+fsizz93//91m1alXmzp2barWaJKlWqznooIOyatWqlGW5y3PbB51XXXVVLrvssj33jQGwT/EcAeCJ2pefJeVgvDmUdA5rXS8qWf1YT5JkzboeQScAu9X0oPOHP/zhsM97enryr//6r3nqU5866ve44IILkiTXXHNNli9fnrPOOmuPrO3000/P0qVLhx3r7u7OaaedtkfeH4CJzXMEgCdqX36WlAOt68U2e3SWGazorFaLPLZhS5Jk4+atrVomAONI04POD37wg8M+nzZtWp7+9KfnYx/72Jjf66STTsqyZcsyb968/O53v0utVku1Wk2tVstDDz2U+fPnpyzLXZ7bXldXV7q6uh739wbAvs1zBIAnal9+lmxTzzm4R2ejdX2gojPZ0B9wbtla2/sLBGDcaXrQedNNNz3ur924cWPWrVs3GFLedNNNmTlzZubMmZPFixfnuuuuy2te85pcd911Wbx48WBr+kjnAAAAaA/F4L8aavWhPTqrlUrWb+pNkvQKOgEYhaYHnfX66KbkVSo7DoDfvHlzzjrrrGzevDmVSiUzZ87MFVdckaIocv755+fcc8/N5Zdfnq6urlx00UWDXzfSOQAAANpAfxlnkSJl/8dlWaYyUNFZKQZb1nv7TF8HYPeaHnQ+4xnPGGw92JmB1oQ77rhjh3MHHHBAvvzlL+/06w477LB85StfGfM5AAAAWq9MBqs5B9rYa9sMI6puE3RuVdEJwCg0Pej80Ic+lBUrVuTMM8/MggULsnLlynz2s5/N8ccfnxe/+MXNvjwAAABtqCwbOWdRZNjU9Up/+FmpFNnU0wg6+2rlTt8DALbV9KDzyiuvzNe+9rXBDbaf/OQn58gjj8zrXve6nHrqqc2+PAAAAG2rkWoOta5nu4rOviRJbZRbogGwb9txY8w9bP369dm8efOwYz09PVm/fn2zLw0AAEDb6t+jsxhqXa/X68OGEW3Y3BhG1GePTgBGoekVnUuXLs3b3va2nH766Zk3b166u7vzT//0T1m6dGmzLw0AAECbKssMjl3vL+gcVtHZUS0GW9b76lrXAdi9pged55xzTp70pCfl+uuvz0MPPZQDDzwwp512Wt7whjc0+9IAAAC0qcE9OhufJUlqZZlq/yadHR2NBsRKoaITgNFpetBZqVTypje9KW9605uafSkAAADGk/6ks9xmGFFHtRFwDvzZObkjffboBGAUmr5HZ1mW+fKXv5zTTz89r3rVq5Ikt9xyS66//vpmXxoAAIC21b9HZ4b26Byo8kyGgs6pnR2pm7oOwCg0Pej85Cc/ma9+9at5wxvekFWrViVJ5s2bl7//+79v9qUBAABoU41Qc6Cks3GsXq+n0t+6PnnSUNBpj04ARqPpQefVV1+dK664In/yJ38yuKn0okWLcv/99zf70gAAALSpgVlEjanrjSCzXiaVYiDorCbpDzprWtcB2L2mB521Wi3Tp09PMjQ9b+PGjZk2bVqzLw0AAEA76+9T33aPzv4fG9PZH3TuN3VSalrXARiFpgedL3rRi/I3f/M36e3tTdLYs/OTn/xkXvrSlzb70gAAALSpgXCz2GaTznpZDhbITJ86KUkyY/rk1FR0AjAKTQ86P/CBD+SRRx7J8573vKxfvz5HH310Vq5cmbPPPrvZlwYAAKBtlf0FncU2retl+rfozJyZU/OCZy/IrP06TV0HYFQ6mvnmtVotN9xwQz72sY9lw4YNefDBBzN//vwceOCBzbwsE0xt84akKFKdMr3VSwHYZ9R6NiZlmerU/Vq9FAAmqEZFZ9HYo3NY63oj6axWivzJC56cH/28O7VeresA7F5Tg85qtZoLL7wwJ598cjo7OzNnzpxmXo4JptazMZt+dWvWfv9rSVHJ/i98faYe9txUO6e2emkAE1Z9a082/fq2PPq9ryR9WzLzD5Zm+hHHpDp1RquXBsAENhBjlvWh2Q4DKkUjAAWA3Wl66/pLX/rS3HTTTc2+DBPQ5nt/loe/8alsXf1gtj5yfx66+tJsuf+OVi8LYELreeCXeehrF2frQ/dm65pVeeS6y7P517e1elkATEAD0WWRDJZ0NvboHP66SqVITdAJwCg0taIzSbZs2ZL3vve9OfroozNv3rxhv51bvnx5sy/POFWWZdb9ZMUOx9f/7LuZ9tTntmBFAPuGjXfevMOxx/7rhkxb/PupVCe1YEUATFj9oWZRJPVthhFVtq/oFHQCMEpNDzqPOOKIHHHEEc2+DBNMURTpmDF7h+M7OwbAnlOdPnMnx2alKJreBALAPmYouhwau97Yo3P46ypFoXUdgFFpetD57ne/e7ev+cxnPpMzzjij2UthnOk6+vhs/Pn3U9a2JkmKSZ2Z/owXtHhVABPb9CN+L4/96NqUvZsbByodmXXsiSkq1dYuDIAJqSiSbDeMaOcVnaauA7B7TQ86R+OKK64QdLKDzoVHZP7pFzT25SwqmXLw4nTOe3KrlwUwoXXOe0oWvPWv0nP/HSn7+jLlSU9P5/zDWr0sACaggXCz2ObjssxOKzq1rgMwGm0RdJalhxY7KooiU+Yflil+wAbYqzrnHprOuYe2ehkATHTbJp3ZdhjRjhWdWtcBGI222HBr+wcZAAAAE1uZxs+CRYrBzLNWL1OpbBd0FlHRCcCotEXQCQAAwL5lWOt6/7GdDiNS0QnAKLVF0Kl1HQAAYN9TpLEn5+AwonLHYUSFPToBGKW2CDqXLFnS6iUAAACwF5WDdZzFYPHLTqeuFyo6ARidpgedl19++Q4Vm5s3b86yZcsGP//sZz/b7GUAAADQTsodPzSMCIAnoulB5/e+97286U1vyv33358k+clPfpJXv/rV2bBhQ7MvDQAAQJsqk6RotK5n24rO7X5KrRRJzXZnAIxCR7Mv8MUvfjGf/vSnc/LJJ+dFL3pR/vM//zMf/OAHc+KJJzb70gAAALSpskyK/lFEw4cR7bhHp4pOAEaj6RWdlUolxx9/fPbff/+sWLEixxxzTF72spc1+7IAAAC0u2L3w4i0rgMwWk0POr/whS/k1FNPzSmnnJLvfve7KYoir3nNa3Lbbbc1+9IAAAC0rW036RxoXe9vZd+GYUQAjFbTW9e/+tWv5gtf+EIOP/zwJMknPvGJXHPNNXnnO9+Zm2++udmXBwAAoA01Wtcbrenbtq5XKtu3ric1QScAo9D0oPMrX/lKJk2aNOzYSSedlGOPPbbZlwYAAKBNDbSrF2m0rCda1wF4YpoedA6EnBs2bMijjz7a7MsBAAAwLgwMHioHu9hrO6norBTFYBAKACNpetB599135+yzz86dd97ZaEkoh6bo3XHHHc2+PAAAAG2q6P/X8Knrw19TqRRa1wEYlaYPI/rwhz+cY489Nj/+8Y+z33775ZZbbskb3/jGXHjhhc2+NAAAAG1qqHW9GHHqelFE6zoAo9L0oPPOO+/M2Wefna6urpRlmRkzZuT9739/PvnJTzb70gAAALSpweiyGPpsZ8OItK4DMFpNDzo7OzvT19eXJNl///2zcuXK1Ov1rF27ttmXBgAAoE2V/WPXiwxVd9brhhEB8Pg1fY/O5z3vefnmN7+Z1772tXnFK16Rd7zjHens7Mzv//7vN/vSAAAAtLEiGZzlkPS3rle2b10XdAIwOk0POrdtUX/f+96Xww8/PJs2bcpJJ53U7EsDAADQ5rav6NxhGFERresAjErTg87169fnH//xH3PHHXdk06ZNg8e//e1v5x/+4R+afXkAAADa0GB2ue3U9Z0MI9K6DsBoNT3oPOuss1Kr1fLyl788nZ2dzb4cAAAA40CZMimKFGU51Lq+q2FEgk4ARqHpQedtt92Wm2++OZMnT272pQAAABgvyv629QxVd9Z2MoyoMHUdgFFq+tT15z3vefnNb37T7MsAAAAwjpRJY+p6UaRMo6qzbBR5DlMpknq9FSsEYLxpekXnhRdemD/7sz/LUUcdlTlz5gw79+53v7vZlwcAAKBNFUnKolHRWa+XqVaKFNtXdFYaFZ1lWe5wDgC21fSg8+Mf/3i6u7uzaNGibNiwYfC4BxQAAMC+a6AbfWDqem0n+3MmjT06iyT1Mqn6MRKAETQ96PzXf/3XrFixIgcddFCzLwUAAMB40Z90FilSluVO9+ccMDB5vbqTIBQABjR9j86DDz44HR1Nz1MBAAAYR8o0Qs4UI1d0JgYSATA6TU8gX/Oa1+Rd73pX3vzmN++wR+fzn//8Zl8eAACAdlU0hg+VZZlarZ5dFWxW+ys6AWAkTQ86v/jFLyZJLr300mHHi6LIjTfeOOLXPvroo3n/+9+f3/72t5k8eXIOOeSQfOQjH8ns2bNz2223ZdmyZdmyZUsWLlyYiy++eDBIHekcAAAArTe0R2ejdb1eL1Ot7rzpsKg0Kj4BYCRNb12/6aabdvrP7kLOpBGGvuMd78iKFSty7bXX5uCDD84ll1ySer2ec845J8uWLcuKFSuyZMmSXHLJJUky4jkAAADaQ5kyRforOpP01UbYo7NQ0QnA7jU96HwiZs2alWOPPXbw8+c85zlZuXJlbr/99nR2dmbJkiVJklNOOSU33HBDkox4jvGnLOvpXb0ym++/I1sfe7jVywHYZ5RlOfT379qHWr0cACagsrFJZ2Oier1MrV5PdRdj1auVIrV6fa+uD4DxZ9xMCarX6/nnf/7nHHfccVm1alUWLFgweG727Nmp1+tZu3btiOdmzZo17D3XrVuXdevWDTvW3d3d3G+EUStrfdnwi+/nkeuvSNnXm8rU/TL3tWdn6qHPavXSAJJM3OdIWa9lwy9+mEeuvzzl1i2pTNkvBy19X6Y95ahWLw1gwpmoz5JRKcv+YURFymTEqeuFik4ARmHcBJ0f/ehHM23atLz5zW/Ot7/97T3ynldddVUuu+yyPfJe7Hm9jzyQh6+9LCkbv7mtb96Qh675eBa8fXkmdR3Q4tUBTNznyNbVD+bhaz+V1GtJknrPhjz09U9k4duXZ9LMA1u8OoCJZaI+S0atfxhRyqRWG7miU0EnALszLoLOiy66KPfdd1+uuOKKVCqVzJ8/PytXrhw8v2bNmlQqlcyaNWvEc9s7/fTTs3Tp0mHHuru7c9pppzXvm2HU+tatHgw5B9Q2PpbahrWCTqAtTNTnSN+61YMh54D6pnWpbXhU0Amwh03UZ8loDNRnFknqZbnbik6t6wDsTtsHnZdeemluv/32fOYzn8nkyZOTJEceeWR6enpy6623ZsmSJfnSl76UE044YbfnttfV1ZWurq699r0wNh0z9k/j//YMtahUpu6X6jT/zYD2MFGfI9X99m+Mt93ml02VKdNTnT6zhasCmJgm6rNkNMqy8f/2Bz6u1cpUKiNUdJZa1wEYWVsHnb/61a/y6U9/OoceemhOOeWUJMmiRYvyd3/3d1m+fHnOO++8bNmyJQsXLszFF1+cJKlUKrs8x/gy6YCDM+cV78jqb30uKespOibnoFe9N5NmHdTqpQFMaJPnLMycE87I6hs+M/j374Gvek8mzZrb6qUBMIGU5cDU9SJlWaavXk91F0FnUTSCUAAYSVsHnYcffnjuuuuunZ577nOfm2uvvXbM5xg/Kh2T0nX0yzL1SYvTt3FtOroOyKTZC3b/hQA8IUXHpHQd9ZJMWXREahvXpmPGAZk0Z36rlwXABFMmSVGkKBqhZ61W7jLorKjoBGAU2jrohKI6KZMPOiSTc0irlwKwTymqk9J50CGJv38BaJb+1vUijanrfbV6KpXKTl9aMXUdgFHY+VMEAAAAmqgsB5POxh6d9TK7yDlTqRSpCToB2A1BJwAAAHtdmf6cs+iful6rpzpCRWetZuo6ACMTdAIAALDXDWy52RhGlPSNMHW9UilSl3MCsBuCTgAAAPa6MmWKokiR/mFEI0xdN4wIgNEwjIi2tuWRB9K3ZmUqU/bL5AOelOq0/Vq9JIAJr967Jb0P/za1DWvSMWtuJh+wKEXV/2UAYA/bpqKzXi/T1zdC0FkUqSnpBGA3/NRCWyr7tmbzvT/N7/7lYym3bkmSTD/yhZnzR29Lx/SZLV4dwMRV39qTtTd/PWu/9+XGgaKSA1/17sx41otbuzAAJpyyLFMUSaVofNxXq6dS3VXQmdRqKjoBGJnWddrSlt/dk9U3/tNgyJkkG2//Xnq7f9PCVQFMfFse/NVQyJkkZT2P3PCZbF2zqnWLAmBCGogtt92js1rsYhiRqesAjIKgk7bUu2ZVtj7ywA7HaxvWJknW9qzLmk1r9/ayACa8rY89ssOxsrcnm9evzoYtG1uwIgAmrDIpUgxOXe+r1VPdVUWnPToBGAWt67SlsmdDphx6ZHru/dmw45VZB+U/7r05X/zpNent25pXP/3leemTn59ZU7WzA+wJ1eldSbUjqfUNHZsxO9/63e35/i++ltOf8/o8a+7TUq1UW7hKACaCMkn6c81GRWd911PXi0LrOgC7paKTttQ5//BMe8rRmTzvyUmSYtKUzH752/JgZzWX/eiqPLr5sWzcuin//LOv55aVP23xagEmjo7952b2S05LZVpXkqQ686Csf8nJ+fr9N+fBdd258Ht/l3vX7lhxDwBjVZZlivQPIyrLbO2rp2OEqeuGEQGwOyo6aUudC5+apEylc1pS7cik/eemc8FTc/VPr9nhtd+6+z/yoicdk85JnXt/oQATTOecRUmtnmrXnPR1TMoNa36Z6395fbbUepMk9bKeB9etymGzD2nxSgGYEIqkKDK4R+cuhxFVGpPZAWAkgk7aUlFUMmXR0zJl0dOGHT9w2uwdXjtvvwPzWO/6TC9rmT552t5aIsCE1XnQk9J50JPyWM+6/Med1wyGnAOmdExp0coAmEgGhxFloKKzlmplF8OIikYQCgAj0bpO26ptWpdNv/mfrP/Zf6TnwV+mvrU3z5n/jMyc0jX4mknVSXnOvGfk3dd9KH/13U/l7tX3tm7BABPE1scezsa7bkn11z/NeUedkq7OGYPnDpm1KOt61uehjTsOLQKAsSi3GUZU7rZ1vZK61nUAdkNFJ22ptmlDVv/bldnws+8OHjvwVe/Jome/JB857n35zaP3Z0vflmzYsjFf+tk3kiS/XnNfPv/fX845L3hnZk3t2tVbAzCCrWtWpfsrF2brI419OIuOybnoDX+Zf9vw21Qr1TzWsz6f/a9/zque/kc59dknpVJUGnusFTv/wRQAdq3sb10vUtaTrX31ESo6i9S0rgOwG4JO2lLPyruGhZxJ8si3PpcpT3pG5s+am/kz5uYXD/0y59/yhSTJjMnTc+aC4zPlv+7K/f/+sfQe99LMeu5zMnnWrFYsH2Dc2nTvTwdDziQp+3rTc/M3cvdB++V/HvnV4PF/v+fmnLjgD9L787vyu3+7KdMPeVIOetlLs99TntKKZQMwDjUqOht7dNbLMr1ba5k2Zec/olYqWtcB2D1BJ22ntnlDtq5eucPxcsum1LdsGvx82qSpqaSSP3nacXlex6Ksv/DyrF+/IUmy7me35+BTT8nBbzhZlRHAKNW2bsnW1at2PL6mO3MPfu7g55MqHXnzs5fmkRu/k9/981eTNP7efeg7382zl/9Npi1auNfWDMD4VfbnlkVRDLWuV0eq6NS6DsDI7NFJ2+l9+LeZNHtBUh2ew0+e95SkOmnw8wUz5uV/H3t6buv+Rbb89v709YecAx782tXZ8rA95ABGq++RBzNl4eE7HJ/2jD9Id9/QL5pe9fSXZ9PDv8sj11w37HW1jRuz6d57m71MACaIxtYnjUFD9TIjB52VIjUVnQDshopO2k+lkq3rHs6cl745j936zfSt/V2mHPyMdB3zJ6lvfDQ5oFEpNLljUqZPnpr7H1uZzHjGDm9TVIpGLwwAo1Otpu+xhzPrBa/Luv9akXrv5uz3zD9M59yn5B0HPD8PHP7i9PT1pq/elzXrfpud/iWrih6AMSlSJKnXy/T21VIdsaJT0AnAyFR00nYmH3hoNt15c/o2b8jMF7wuB5z47kw94vdS37Qu1Rlzhr22VjbaV1bNTCbNHD6AaNEbTk7nAQfstXUDjHeVKfvlsVv+NbVN63LAq9+TOSf8WYrOaSnKWvavTMmShUflDw/5vSRlvr3mfzL9pFcM+/qOrq5Mf/KhrVg6AOPQQEXn8Nb1XU1dL1KraV0HYGQqOmk71c4pmb74BSl7NqRv7UPZ+shvM3nOomzdtC6Tt2we9tqDuxZkv8nT839XfTdnvPO1mXXnqhSrVmfui16U/Z/9LPtzAoxBdep+mf6MP0znQYdm0x0/TFHtyKTZ/z979x1nZ1kmfPz3PKf3M73PZFqSSe9AQgoEQm+ClID4urisq651V7Hr6ru+rOu67rq6uiqiFEVFWqSFEEiAkEbqpGd6b6f38zzvHxNOOEwSMiFlhlzfv8h9nnLf58PnmXOuc93XVcLAmofIv+oTWI5k1Fd5y/HHgrxcEGTJJ+5E2boHW3k5ZUuXYSstPcerEEIIMV7ovN2MSEHTdZIpHdMJtq5LMyIhhBDvRTI6xZhkLqgA1QCpOJbiWuLdh0n0tpCOBLKOK3YV8I1ln2FB+Wz+7NtC66Jayj7/CQoXLxqR4SmEEOLEVJMFW/UMUsEBDA4PBlcO6WgQz7yrSQ4c7cQ+wVvBN5d9logZHlIbCX/kCgpvuxHHhKpzOHshhBDjzpG4paoOb11PptIYjcf+impQFVKS0SmEEOI9SEanGHMSQz3433iCyIFNmTH3vKtdBd+1AAAgAElEQVSItuwioSrsbNuK2WBmgreMXHsO1TmVfHL+R4inEzjM9nM4cyGEGN9SYT+poS6G1j6cGTPmFONdfCuNNhOOnr1UectwW1xMLqjjizlVJPUUdpPtHM5aCCHEeKUznM05nNEJiRM0I5JApxBCiJMhgU4x5iQHOrKCnACBrS/ivegG9g028e8HnwegNreKLyz8WwoceRgNRowG+d9ZCCHej3TYj//N7E7qqaFu0rEQDza/xkBkiMVVC/g/s2/FZXFgMpowYTpHsxVCCDHe6fpwSqeiHMnoTKZP2HVdAp1CCCHei0SGxJijp5MjB7UUqt3NtmhnZujQYAu7evfTNNiKL+ZnWfVCphTUYzVZzuJshRDig0NRlBElQmC4H+5gxAfAupaNzC2dzqstG5ngKWdh5VwqvWVne6pCCCE+AHR9OMipHqnRmUimMR1v67pBJZlKn+UZCiGEGG+kRqcYcyyFE1Btzqwxc0kdppwSvFZP1njzUBuvNG9gQ/tb/L91/8227sazOVUhhPhAUT35uGZemj2oqBisDpaUz80Mtfo72dq5k8f3PMt31/6Y7mDvWZ6pEEKIDxJVUdA0nURKO26g06gqpFKS0SmEEOLEJNApxhxTThH5V96LtXIKqtWJffJFOKcsYvClB7k8pz7rWK/VTTQVy/z78T3PEk3G3n1JIYQQJ0FPxDEX1+CafTmq3Y25sIrc5XcT2PoCt5bNB0BVVEzq0e3q/niQFn/HuZqyEEKIcUzXdRQUFGX4vxPJ9HG7rhtUVbquCyGEeE8S6BRjkp5MoKhGnFMXkfL3MvjSg1jKJqL4+jAqBmwmK3dMv4Ft3bvfdaJOpn2jEEKIUTFYbChAtGkHjskXYsopYfDlhzB5C1GiAXKsHlbOuJG1Ta9nnyiPXSGEEKdAB1CGS6doGiRPkNFpMCgkJaNTCCHEe5AanWJMMuaVoTo8BLa8AOhYSuux189HS8b4bs2VJMtq8CVj/HFgVdZ5NzZcgU26/wohxClRTRaMeWXYqqYS3PoioGMursHRsBDNZOJzs26nNe6nJ9yP2WAix+ohnk5KjU4hhBCnRNdBYbjRUOJI/U2DdF0XQgjxPkigU4w5SX8/8a4DpPy9eBffAjok+9sJNa5jaPYy9qhhCuIhekP93Lf4k2zu2EFvuJ/LaxfTUFj/3jcQQghxTFoqQcrfR6Kv7ejzd7CTwZceInjV3XQmI5R7Svjiontp83fRG+5nSkE9NqM0gRNCCDF6OvqRjE6IJVLHzeYEaUYkhBDi5EigU4w5KX8f6bAP58xLURUD6Ygfa81MEn1trO3Yyssdb+G2uLis9mL+7bWf85Uln2Yo6scfD9IV7KHaW4mqnnxVhqTfT+jQYWK9fViLi3DW1mByuc7gCoUQYmxK+XrQoyGcMy5BtdhIBwexVk7FYPewZ7CVXx54gXvm3M7Wzp28daR0yNqmN1hRu4S7Z92C2Wg65nWToRDhg4eI9fRiyc/DUVeL2eM55rFCCCHOI29ndCoKsXgas8lw3EOHMzqlVooQQogTk0CnGHP0ZAxr+RSih98isOno1nR7w0Jyc8u5ddq1pLU0Rc4CphdNZlP7Nl5ufoNwIoKqqHxt6T8wvWjySd0rHY3S+uhjdD/7XGas/JYPUXH7raimY39hF0KIDypdB0NOIYmuQww894vMuLm0DmvJMi6rvZhwMsrs0mlMyKnguQNriaZivHhoHZfXLqYqp3zENbVkks4nn6b9sT9lxoquWEH1x+7GYJNSI0IIcT7TjxTpVFWFSCxFruf4OwSMBpWE1OgUQgjxHqQZkRhzVFc+yYEOAlufzxqP7HmdRa4K/tz4LH9ufJafbvwtKS1Nvj0Hkzocs9d0jd/vfOqkO69H2juygpwA7Y8/QbSj8/QsRgghxhHV7iXZ1571IxNAovMgNZjZ13+Y3+98kl9v/QMvHHyVW6ddCwxvPfTv20egcQ+6np1tE+3sov1Pj2eN9Tz/ApG29jO7GCGEEGOejo6iDGdrarqOyXj8jE6jbF0XQghxEiTQKcYcPZ1CT8YhnRrxWiDYT1o7+gHnra5dOMwOfLFAZqw/MkginTipe6Wj0ZGDmnbscSGE+IDTEmHQNdKR4IjXDKkkbf6jPwKFkxF29OylPq+a6bl16K9uZtc3vk340OGs89LRKGgjM3DkOSuEEOLt38ZUVQHAcoKt60bpui6EEOIkSKBTjDmK0YzRnYe5cELWuGp1EnW4uKnhSuaXzURVhv/39ceyv5Avr7wQj9V9UveylhRjyvGOGLMWF5/6AoQQYpxSNA3V4cExaUH2C6qRmMvLjQ1XsKJuCU6zA4CuYA/LKy/i+mApodc2oqdShA4eyjrVWlyEtTy7K7vJ48FaUnJG1yKEEGJ8eDujE8B8gmZERqNKSgKdQggh3oPU6BRjTzIGqhHv0tvQEjEUIDnQibloAs8M7eHV1o3U5lZx96ybeXTHkxQ58/nY7NuIp2JYUzDNUXXSt7IWFDDlG1+l+bcPE2zcg2fmDKruugPzu4KfQghxXjCaMbrycExbgmPyRehaGi2ZQLW7WJPw8fS+1TjNDq6ZuJxNHduYWdRA3q+eJbR3X+YSqjm7vrHZ62XyP32R1kd+j++tbbgmT2bCR+/CWlhwtlcnhBBijBkud6KgKsOBTtMJMzpVEknZui6EEOLEJNApxpxEXwuKyUJqoItQ43r0ZBzn9KUkBjqos7h4FTg02MJgxMdnL7qHR3c+mdlOuaL6YuaVzwIg3j9AtKMDxWDAVlF+3A6/ztpaGr7yJVKhEEaXC4Pl+EXQhRDig0xPxtGTMdIhH+E9r5Py92Gvm4O1chqmaIi0lsYfC/CHXU/xt3NX4jDbUEua4Eig0+hy4ayvH3Fdx4QqJn7xc6SCQXQdYl1d+HbsxFZejiU352wvUwghxBih60cyOg3DmZwW0wkyOqUZkRBCiJMggU4x5qhmG6lAP4NrfpsZG1r7CLmX/w0Tcwq4ecrV9Ib7ea11M63+jqyacS80rac6fwLTY3Fav30/8Z4eANzTplL/mU9jLSo85j0NVisGq/XMLkwIIcY4XdfQk3EGV/8GPTVc6ziw+Vn0ZJx5cy5n7cA+mn3DTYT6IgM8tP0V/u7GlZTW1mJK6eTMmY29YmTndQCDxUK8v5999/+QSEsLAPbqCUz+0hexlZaelfUJIYQYW3RdR+EdW9dPkNFpMqpSo1MIIcR7khqdYswxuvNJ9LaMGA/tXMvOYCd/bvwrLb4Obpt2XVZjorf1hwc43N+cCXICBHbtxr9z5xmdtxBCjHeKzUEqMJAJcr4tuPNVkokI9XnVzC6ZBkCO1UM8naA91E1q4XTKb7oBR1XlCa8/8PobmSAnQKSpmYENG0//QoQQQowLOoCiYDxSm9N0ghqdJqNsXRdCCPHeJNApxhwtGUe1OkeMq3YXTqsTBYVWfwctvnbMavY2c4vRgqbrDMb9w/tg3iF0ILtBhhBCiGyKrqBaHSPGVYsVeyRMY88+JuXXUOYqxm1x4rG4mFk0lVgyflLX9+/YNXJs58gxIYQQ5wddBwUyNTqNhuN/PTWoCroOqbRkdQohhDg+CXSKMScdCWKvnYVisR8dVFQcdfOYvOU1vtpwAzajlZ29+5hSWEd97gQASp1F3DH9elYfXk+RI2/4k9M7uKdNPYurEEKIcSgRxeDwYszN7ojuWXAthniUG8oWoACzSqbSFxngo7M/zPqWjTy17wUODY7MxH+33AsXjBy7YOSYEEKI88c7cxNMJwh0KoqC2awSS0hWpxBCiOOTGp1izFGtdjQUCq//LFosjK6n0SJB/BufIeXrwdNzmNuXXsf2cA/+WIAZRQ3cNu06DAYTD2x9jGsnLqcmr5rO2bPwvbUNFIXiK6/AM3XKuV6aEEKMael4GBTIv/rvSfv7AB0tnSa88xVinfupv+lzNJsVdKDKU044EWXvwCFafO0cHmrj+5d9mUJn/nGvnzt/PsHGvfSvfw2A/CUXkzN3ztlZnBBCiDFHf1digtl8/BqdABaTgXgihdNmOpPTEkIIMY5JoFOMOarBSGDbasK7XgXAlFeGc/pSUr7hmptaNES5ZkArmsyP3vglK2fcyFAsQFrX+PzCeyh2FmBQDbi+9EViXd0oBgPW0hIMZvO5XJYQQox5impCMZjof+q/SAX6AAXnjGWoFhukU6ihIXptKr/f+RTTiyZzzcRLaTnSnCgYD9EZ7DlhoNNaWEDdp/+esltuAhRsJcXSCE4IIc5jw13Xh1M6P3HTDEoLRpZPeSeLyUA0njobUxNCCDFOSaBTjDnJwa5MkBMgOdBBoqcZc2FVpkmRx5nPozv/iKIoHB5q5YoJi7Dt68DUsg+/u5PE4CDO2lqctTXnahlCCDHuKGYrvpcePBLkBNAJ7XiZnKV3EDm4BbvFRTjZz7WTlvNW126afe3YTTYiySgKCoVxEwNvDjcXSgwMophMuOrrcEyoytzDYLPhrK4+B6sTQggx1rzddR2gstj1nsdbzAYiMQl0CiGEOD4JdIoxJznQMWIs3nkAa0UDif527AtvosvhoNCRz/KaRbx4aB3fadvKwsIZXBxwk/7jn/HOmUXTL37FtO99B9ekiedgFUIIMQ6l4sTb9owY1hUFa/VM4p5c3tj+PIFYkAsr5mAxmFk5/QaCiTDluOn98S8oWLKYtj88RjoaA8BgszLte/+Ms672bK9GCCHEGDfcdf3kj7eajUQl0CmEEOIEpBmRGHPMhVUjxqxVUzFWTMF36+f5n1Qnj+x5lmsmLqex7wCdwR6SWopXurfysnsQxe3A6HSiJRJ0rXoWXZPOjEIIcTIUqwNL+aQR4702K69OasAfC+C1uMm35/JK8wb6I4OkdZ12fxeq2YSuQ7i5JRPkBEhHY/SufeVsLkMIIcR4oY8qzonFbCAUS56x6QghhBj/JNApxhyDKw/7xKNdeE25JTjq59NiTHP/5t/R2H+QFl87P9/8ENMKJ7F0wkWZY9/o24nhgplwJLgZ6+mRQKcQQpwkPZXGPWcFBlduZkyddSkvBpp5/OAanu7cypU1F1PpLeMjs26mse8g7YEu+qODHIx2Y1t2AUmfb8R1Y13dZ3MZQgghxgkdndGEOq1mI+GoBDqFEEIcn2xdF2NOoq8Va0UDluLq4SClqpKOhtiZ7D/yYeiotc0bWFw1n3J3Ce2BLjwWF/jCKHYvAMVXXoFqPH3/m8d6+wju3UusuxtnXR2uSRMxOk5cNF0IIcYLPRklHfHjnLYUxWBEMZoIefLYc/h5ADZ072J2xSzeaNvChvat3DPndnb27GVf/2Em59eRMhvxTGnAt2171nULl196LpYjhBBijBtuRnTyx1vNBkIRCXQKIYQ4vjEd6Lz//vt5/vnn6ejo4Omnn2bixOFai01NTdx33334fD68Xi/3338/EyZMeM/XxNinp9OoJgv9f/1Z1rhz2lJKaupHHG81WtjW1ci8shm0B7q4q/ZKCjrT9L64mup77yFnzuzTNrf44BD7f/gjgnv3ZcYmfOxuSq+/DkWV5GghxAdAOoVv/Z9Ih/2ZIcVg4sMrbudnB57HqBqxmWyZBkQHBproCvYC0BceoGjiEvwvrKH81lvofWkNKAoVt92KZ8b0c7UiIYQQY9hoA502i5FgJHHmJiSEEGLcG9PRmeXLl/Pwww9TVlaWNf6tb32LlStX8vzzz7Ny5Uq++c1vntRrYuxTDAZSgf4R49HmHUzPqcJqtBw9VlGYXzaDxr791OZU8ZXFn6I7NgSTqmn42n2UXnM1Jo/7pO+dGPLh276DoW3biQ8MjHg90tKSFeQEaH3498R6ekaxQiGEGLvS8UhWkBNATyfxJIYbP1xeu5jevg6+XHwNX8hZzlxrFQZl+KPE1NxaenduxzS9gfzFi5j5w39l5g9/QPGKyzA5JfNdCCHESLo+uq3rNosRfyh+5iYkhBBi3BvTGZ3z5s0bMTYwMEBjYyMPPPAAANdeey3f/e53GRwcRNf1476Wm5s74lqBQIBAIJA11t0tdcTOJV3XMeWWjBg3ldSxpncPfz//bpp9raQ1DbfVxYuH1rO48gJ0Hfb1H2JD7w7qi+so8Y6uu2+0q4t9P/h3wocOA2ApLmbK1+7DXlmROUZLjPz1WEsk0JPS+VGI89UH7e+IwWJHMVnRk0ebCaGouHKKuTvnFmLJGOVJJ6FfPUK6vx+T18uNn7iF1535lJtySQYOo86ZiaOy8twtQgghxpkP2t+S0dAZXUan3WqkdyhyxuYjhBBi/BvTgc5j6erqoqioCIPBAIDBYKCwsJCuri50XT/ua8cKdD744IP85Cc/OavzFyemJaIYPPnYamYRPbwNANXuxjJ3Bf7OTfznwTXcMeNG/FE/8VScK+uWYlQN/MeGX6IAd864ibZgN1NTDZiNppO+79DmrZkgJ0C8u5uel1+m+qN3Z8bMubkY7HbSkaMfrnIvugBLYeH7X7gQYlz6wP0dsbnIv/Jv6Xvmv0HXAIWcZSt50t/Cs82voes6BkXlH+++Hv791yR9Pjyv7ca7uJR1HVu4bOY03PrJP3uFEEJ8AP+WjIb+3oe8k91qIig1OoUQQpzAuAt0nk4f/ehHuemmm7LGuru7ufPOO8/RjASKioKK0VtIzpLb0DUNPZVA7WnhRl+SCyZfz//sXc0/zllJXzrGU/vXcGPDCkpchXQEunGY7fxh19Msqb4wE+gMNzcTbmpBMRpw1tRgKysdcdvgvv0jxgK7GtFSKVSjkVhPDwd/8lMq77iNwc1biHZ0kHvBAkqvuxaD1TLiXCHE+eED93dE19EVhZzFH0ZPp1AMJqJN27nlguswplM81bqBtK5xwOCj2u0mFQgQ23+Yhsvm0Kv6cReU4i4e+YzVdZ1wczORphYUkwlnbTW20pHHCSHE+egD97dkFHT0UWxcH966HpIanUIIIU5g3AU6S0pK6OnpIZ1OYzAYSKfT9Pb2UlJSgq7rx33tWNxuN273yddwFGeejkoq0E9w6wtZ44rZRsEtX0Lbv5EV5fNwpjXatCRNvlbaA91cXLmAJ/c+T294gGmFk4jEo3itbgL79rP769/KbDs3eTxM/d53cLxjSzqAZ9pU+tetzxrLX7QQ1WgknUgQOtxEpLmFpl89gHvaVLwzZhDcux/1Q5K5JMT57IP2d0RJxBh6+SHSwcGscVvVVK4qn0VnKsL2nj2oKEcyPsEzZxaRR16kbGCQ1IftpHPyMNrtWecH9+1n9ze+nXkWm3NzmfrP38JeUX52FiaEEGPYB+1vyWiMskQnNouRcFQyOoUQQhzfmG5GdCx5eXk0NDTwzDPPAPDMM8/Q0NBAbm7uCV8T44OeiqNrwzUvVbsbU0EFqt1N+PK7+FXnm/yYHmx2D0Cm06+OTlpPc/v06/FYXBS7CvivjQ8QjoXofOrprNqaSb+foS1bs+4Z7ewi1NRE/uJFmSJBOfPm4p09i961r7Drq98g1nW0TlJg125617xMpLUVXUuf0fdDCCHOJl1R0JPDTR5MuSUY3QWouSW0lFTwP01r8cUCfKjhShoc5aSCIdzTp2F2uQjt20+iv59DP/sFgd2NWdfUUinaH/9L1rM4MTiIb9v2s7o2IYQQY89wjc7RNSMKx6Q+vhBCiOMb0xmd3/ve93jhhRfo7+/nYx/7GF6vl1WrVvHtb3+b++67j5/+9Ke43W7uv//+zDknek2MA6qK0ZVPzrKVpENDpIKDJJav5P5tjxBPDX/5bva1E5h0OZs6tmM32dB1jUJHPm3+TvLsufxx1yp0dPxhP7HOrhG3iPf0Eu8fwLe7ET0eRzWb6HnuBVyTJ1Fx6y0ABPbuI9bdzYEf/ScAufPnoVosaPGjXR6LLruUWG8fRrcbo9V6Ft4cIYQ4sxSTFc/Cm1GAePdhVJOZ3qkL+P6mB450xoWDg818cs6dVH7vK7B5N+2P/SnrGv3rXyN3/tFmgloySby7Z8S9Yj0jx4QQQpxfdH10W9ctJgOxRApN01HV0ZwphBDifDGmA51f//rX+frXvz5ivLa2lj/+8Y/HPOdEr4lxQFfQtTSBLc9ltk621kzMBDnfturgWv5mzu24zA5ebX6TzmAPZe4SoqkoOjoG1QAmI8VXXsGhn/5P1rneObNo/8sTqEYj3X99jrKbh2siBffuI7h3HwCKyYRnxvTMOZ1Pr6Lqrjvw795DtKOTnNmzSEej7P7aN5n0pS+Sv2jhmXxXhBDirNBTMYzuPPqe+BEABqeXbfnuTJDzbc82rePWqddiK/aOuIbR6SIVjWK02Yb/bbNRfMUKDv/il1nHmXNz6XlpDfmLL8ZgNp+hFQkhhBjTRtmMSFUVLCYDkXgKp01KSAkhhBhp3G1dFx9wBgNaeCirPpzxGL/zmgwmcm1e3BYHKPBG21a8Vjf7+oc7p9886QrM+9uwlZZQedcdGBwOzLk51H3m05i9OZi9XjqfeAotkSDS0opn5oys61feeTuBI0FPgFQwSMvvHiF3wTxsZaVE2ttIx2JYiopoffQxUuHwGXpDhBDi7FGN1qwayXo6jUU1jDjOYjDz7IGXec7Vg+PiCzLjRqcTZ30dwb37GNryFvHBIQDyLrqQipW3Y3DYMeflUnHHbQxt2szB//xvIs3NZ3xdQgghxiYdfVRb1wGsFiMRqdMphBDiOMZ0Rqc4DyWi6LqOY/JFmAsr0TUN1Z5HrtXDYMyfOeyK2iWg6wTjYfYPHGZF7RLqvJXEentZVlJFRbKAfd/9PgAFy5Yy4wffx2h3YM7x4t/dSDoazVxr4PU3KLhkGZV3rcRgs2KvrMRZW4uttBTfps2Z4wwOB+loFPeUBvzbdxA6cADvjOlYCgvQNe3svUdCCHGmqCq6puGeeyWq3YWCwjRPKU8azMTTR2tsXlG3lP9+8zdUeEuxr7yZwoZpaEdKgSgKhJtaaHv09zgnTWTi5z6DJT+PgqWLSQWCaPE4XU+vIhUKARDt6sY1ceK5WrEQQohzSNdH1YsIeLtOpwQ6hRBCHJsEOsWYomtpTHmlhHa8zNCrfwDA4C3mvus/wfbeffQmQswsnETSYGRooI2CwglcXDmfFl87ewYOUdsHkaeeQblyReaafWtfIf/ihZmacbayMkIHD2HyeEgGAqDr9L28FlfDZKo+ciedT6/C5HFTuGwpU//luwy+9gamHA85c+egJVP4tm3HWVeL0emg56U1w/U7ZdulEOIDQEsm8C76EAPP/5KUb7iGpqdmFt+8+ONs6dpBFJ2ZRQ1gMnP37FvY3r2HF1pfZ9mMeeQf6MfocND9wosULl6ElkoR2LmL0KFDWPLzMNpsDG7ePKJep9k7cvu7EEKI88NwM6LRnWMxGYjGpSGREEKIY5NApxhbDBaS/R3EWo927U37unFsWc284CDpSADvZTNYFxuiLq+K/9z4O/oiw9vcd/TsZcWERVx+/TUoaZ28RQsZeO11YHjr+du0eAyD1Ureoosw5+YS2N1IcO8+ym++iV1f/xYcyc7sXb2G6f/v/1Jz7z1Ee/sINjYSPtxE59OrQNNwVE+g6s47aPndw8R7erFXVpy990kIIc4Eo5HIwc2ZICdA9PA28krrWbhrPe7517BtoA2fzcZju54hpQ1/0VzftpmvTLmTnJ1NOMpKScfjFF9xOd3PPk8yMPz8NXk81H3yEzR+91/Qk8OZOIXLL8VSWHD21ymEEGJMGK4BPcqt62YDEem8LoQQ4jgk0CnGFD0RIdHXCoCltA5zUTXJ/nbinQdxTL6I4LYX6dMT9EUGcJrtmSDn21a3vME861LCD/6BgkuW4pxYT2j/AaylpQDEBwbZ+68/JHzwUOacipW3kX/pJXT85clMkBNAT6XwbdtGYshHtL0d1WSi88mnM6+Hm5qxFBbinDwJxWgknUiQDocxOp2oJimOLoQYfxRdI962F8VsxV4/D0U1Ejm4heRgJygGdIudZzrWsWjCBWj60eelpmtsCxxmyup1JPr7ASi+5irsE6qwl5dljvPMmM6sH/2AcEsrqUCQoc1b2Hnf16n5u48PZ8fLs1MIIc4run4KGZ1myegUQghxfNKMSIwxGubCanKXfxRr9UwSA50oJgs5S24nHY+Sf90/8OvDrzKreAo9kYETXqnvlXXkLpg/XHvTagUg0tycFeQE6PjzE2ihEOlIdMQ1UuEIA+vXo8XjpCIjGw4FGhspvfYatGSCff/6Q7Z99gsc+tkviLS1v4/3QAghzhHVgHPGJXgX34qimkgG+nHPvgz7xPk4ZyzjjXQAfzKC1WjJCnQCaKlUVkOJnudeYMLdd+GorcmMKYqCpaiI/vWvcfjn/8vQlq0kfT72/esPCTe3nLVlCiGEGBt0XR91oNNskoxOIYQQxyeBTjGmqGYHpvwy9HSSWMtuDFYHtppZ+DY8iaqqDK7+DXfUX8regcOYVCMF9tys8y8pmo227kgDIU3DUlhA1zN/JdrRMTyUGFm4XEskMHncFF91Rda4YjRicrmwlZWhms2Y3J4R5zpqa7FPqGL3N77D0KbNJP0Bel9aw4Ef/xfJd2yXF0KI8UBPJzEVVKBFgiQH2jE6vKhWF+lwAMVkIS+vgmvqL8Vhtmedpyoq05VC4n1977hWGlNuLoZ31TBODA4yuGHju26sZ57TQgghzh/DGZ2ji3QOBzqlGZEQQohjk63rYkzR9DTxtj0MrX0kMxY9vA3vxbegp5KkBrsI9bfi0yN4rC4uqVnIUNRPT7CPObZKSnZ1E9k/nLHpnFhPYnCQ4quuwJSTA4CtshyD3U46EslcP3f+XLpWPUvJ9ddRdfddBHY3YrBZcdbX0/nkUxRetpzwgYMULF1Mztw5DG3ZCoDJ4x7uIhwKkvT7eafQgYPEenowuVxn+i0TQojTRlHNRPdvJrDlWQDinQeGn8GLP0yip4m8smoUVzG7evZy18wP0di7H4fRxmoWypoAACAASURBVJKcqWj/++esa3lnzQSg9fePkY7GyF0wD9fEegxWG5aCfOK9fVnHG+V5KYQQ553hGp2jI82IhBBCnIgEOsXYEg3i37Qqa0hPJdATURSzDVBIqSprD73BP1z4MXpD/aTSae6YcSNDTQexBppJFxbimTYFS2EhLQ8+BLqOlkrhnjQRg9XKpH/6Al3PPkekpY2cObNRLWY6n3gKk9dLrK8fRdeI9fbSv/714UxOr5ehTZvxTJuKpbCQijtuA01DSyaxlZYO/xT9bqqKaracnfdMCCFOEz0WJLhtddaYFguBrqOrRpqCXeR7SmkorOc32x4jx+rBYDNgToF35S3417xK6MAhci+YT/7iRez88lcpWnEZJpcL39a3SEejeGfOoOYT97Lne9/P1EX2zp2Ds6b6XCxZCCHEOXQqXdetZgOhSOKMzEcIIcT4J4FOMabouoaiGkaMK2Y7ismCaeYyWoijKioqCkktxZzSaTx74GXWt27iY1ffQvUNlxL80a/pXbM2c37nX54kZ84sWn/3CIHGPbgaJuOePBFrSTEdf3mCohWXY87Po3D5pXQ9s4rQwUPYKsopvmIF0bZ2qu/9OCaXC/fUKSR9PtLxOPaKChxVlSRDIfIWXsTA629k7ld+803YSorPxlsmhBCnkQ6qAdLZWwJViw1nw0Ke2vNnrqhfRiwV45ap1xBNxihxFvKvG39Lnt3Lp6bOQrVY0NIaSZ+fohWX4du2nejbdYsVhUlf/ifyFsxj5r/dT7SjE6PTiaNmAmav9xysVwghxLmk6zrKqLuuGxkKxs7QjIQQQox3EugUY4pisuC58AYGnvtFZky12DHlFIGicMimYCDFZTWL+OPuVbQHunCY7dw7dyVFznze6m2kqmLJ0S/VR+jpNNGOLgKNe0BV0WIx/Lt2M7TlLSb8zf+h6+lnCL/wIgA58+cy+av30b9uHc0P/g49mcQ7ZzZTvvm1Y9YQMjmdVP/t31CwdDHRri4clZU46+ule7AQYtzRjWY8F1yHb/0fM2MGVy5aIka6t4Wrimewf6CZ3nA/BwebAajylrNkwgVUp5x0/+B3aIkEqtlMOhQk98IL6Xr6HVn6uk7zA7/BM2UyztoanO9oVCSEEOL8cypd160WI8GeJEOBGDlu65mZmBBCiHFLAp1iTNETCUx5ZeQsu5NE1yEM7lys5Q2E976BKaeI6vI6vCYjB4NdtAe6AAgnImxs38Y1h61Mj1nIy9GJTphArLMTLTG8rSV3/jySAT/e2bNwT2kgdOAAzvp6rMVFaLEY4abmzByGNm1BSyTRUyn05HBWU8nVV52wULolNxfLhRecuTdGCCHOBl3BUtlAzpLbiHc3Yc4vx5RbSuTwNuw1syg0JPGZTOzo2ZM5pcXXzoqaxXgfeZlwIkHB0iVYigoJHzpMtLWV8ltvof1Pj2e2qScGh47ZGE4IIcT55xRKdOKwGtm8p4e7v/M8T/3b9aNuZiSEEOKDTQKdYmwxGgEFPZ1E19IoBjO9f/lh5mWDp4CJ136K/zz4StZpzf52wj12Qq9uYOiFNdR//jNEWloxOhzEB4fQkwlUgxFnXS2tDz969HZOJzV/9/ER04h2dFJ0+XJ0TaPsphtwT596xpYshBBjhaIq6KkkycAA9onzGXzlUbTgIADhxvWUXP9p+q1eQolw1nlDgX4mTZpM0QUXEtp/gPbH/jQ8vmUr1uIiSq66gq5Vww2OilZchjk35+wuTAghxJik6/qoA5VO29FdU6FoEpfdfLqnJYQQYhxTz/UEhMiSTKArCuloCNfcK/Bveibr5bS/j3SgH4sh+wPNBa56Erv2A6DF44T27afjL0/S8tuHcEyopOvpVSSGhuh58aWs81KhEKlQ9hd2gIKliym96Qam/vO3yLtgAUarbIsRQnzw6fHIcOOhdIpkf3smyPk2ZdvLFJjtI84rixhpe/QxkkN++ta+mvVarLsHc34eBrud0huupeyG61EMI2sxCyGEOP+cytZ1r+tow09fMH6aZySEEGK8k0CnGFt0HUXXMHkLSfa3H3M/iwZcP+kyzAYTiqKwpHg2Da0JEoNHv5DraQ1FAS2RILh3LwXLLxnejp5OH/O2Ez72UVSLBRSF/MWLKFpxGUaLBYNZfiEWQpw/FKMJLRnHVtmAFo+OeF3XUpR7yphXOhMFBYvRwh0Vl2Bbu+3I62n0Yzy3bWVlzP7JfzDho3djLSo84+sQQggxPuiMfu+6yWjg4zdMo6LISSgipVCEEEJkk63rYmxRFNJhH4Mv/RZzYRXOqRcT2nl0m7rB4aHLYiKhhfn8RR+nydfG9EEL/X/42dFLGI2YvB7S0eFujIlBH/Wf+RR9r71OaW4OrQ89cvR6NiupUIi8RReRe+EC9FQKS0EBBsvRX4qFEOK8oaVRVZXeZ39B7iV3gqKCrmVeNs++jI6Yj7rcKmYUT6bAnovlxY34N28HwLdtOwVLLs7K6jTn5eGonoAlL+9sr0YIIcQYp+ugnkKNzZpSDw6biVA0cQZmJYQQYjyTQKcYW4xGEt2HQddI9DRhKa7Bc9FNxNoaMRfXkK6Zydd3PEwyneTOGTcyGPXxVKyP6//hHhJr38Ts9eCsr6fziSczlyxcfglGhwODyYzi8VBx24fx79yNOdeLs66O9j89jmfGdNyTJ53DhQshxNiQ6G8HLU1gy/PkLr+bWMsutGQc15wV/LRzI/6eGMWuIta3bATgQ/VLqC0qItHTQ2j/ASo+shLXpIn0vbIO1+TJFF66DGuhZHEKIYQY6Vi7AE6WxWQkGk+dxtkIIYT4IJBApxhbUmkMrqNZP8HtL6Fa7NgbFmGrncvPO14jnhquxRNORplWOIlkXi1t6RR5f38Lk3NqGdq0mZwF8zG53Tjq6vBMG24klDN3NsH9B2h79A9YS0sIt7TRv/51zPn58iVcCCEAXTFgtHsASPl6GFz9G8wltRi9xSQtdjSjkabedqYXNWTOWdX9Jvdddxnq869QftcdpJ1WCpYtpfiKFVKLUwghxHs61abpFpNKJCaBTiGEENkk0CnGFC0ZRVFVDA4P6bB/eCweJVg6gR3JQWaXzcSXilHkyKfIWUAinSTX6uXHb/6aJRXzqB5QMDochA4cJN7bR+FlSZwTqkDXibR3gGqg7rP/QNOvHiDa1oazvp6aT/ytdAAWQgiONCMyGDC4ckkfaUSU6DpEcuYyvtv4ZxZWzOHqSZfS7u/iw1OvZSjm47WWzYSnV1Iy8R4CL65n8I03sZaVMuGjH8E9pWHU3XSFEEKcPzSdU/47YTIZiCWOXX9fCCHE+UsCnWJMURSFRH8HeZf/DZHgAKHQAIG8Qh7uepOWYDf/Z9aHcZhsTC6o44nG5+gK9WI1Wvj7BR8h1NpGsGk/bY/8PtN0qPMvT6LF45g8Xtof+yPWkmJSsRiTvvBZzDm5GD1uTA7HOV61GI90XWewP0zQH8PptpKX70BRJaAjxjfFbCbatpe85R8lMdBJWk/T6XLxWO9b9IX7eXLvCygoeK0e9vYfxBcLcM/c20hoaUJPr2Zw3WsAhPbtZ/e3/pmZP/xXHFWV53hV55dUKs1AX5hoJIE3x443136upySEEMen65zqpyezUSWWkIxOIYQQ2aTruhhbDCb0RATfhid5JNnJdwO7+Zf9q2gJdgOwtWsnJoOJ/93yCMtrLwYgloqzat8aaj0V6InEiM7qPS+sxuT1UH7rLdgrKyhYuJBA414MVosEOcUp0XWdfbu6+cW/r+O3P9vAL374Ko07utC1U68zJcRYoBjMGO1uep/4EYEtf+VNl5X/e2AVB/ztmWPWtW4kno7TUFBHb6ifvvAgpa4C4vWlWCvKM8fpySSRtrZzsYzzVjyeYuOrTcPPpp9u4Jf/sZ62psFzPS0hhDguTYdTjXSajQaisnVdCCHEu0hGpxhbkglCu9djmXgRCwoaqLMXsHHgEHuHmgHIs+cwr2wGQ1E/HYFucm1eBqM+2vydBCdbyHM7R1zS5PWgqCptj/4hM2YtLiJn7hzMubknNa1oZxfBAwdIh8M4ampw1tagmkynZcli/Bnsj/CXR7aRPLJdKpXSePLRbRSVuMgvcp3j2R2frusE/DFUVcHltp7r6YixKJ0iuP0lTGWTsc65lga3jQJ7Ln2Ro8Eyr8VNri2HZ/avZnrRZHrDA/z3lofpSvRy7e0XMvmNUqLrhxsV6eZTf05GOzqHn7uRKM66Wpy1NVLz8z30dAZYvWpv5t+RcIKnH9vORz+1EIfTckrXDIfipJJpXG4rqkF+HxdCnH6nvnVdJSoZnUIIId5FAp1ibDGZYdkn0axWytc+QvFQD9Pr53Bo4pU8cGgN5Z5SfrD+59w85SpSmkZaGw40TS+azB/2rOIjZYuxlZcRbe/IXLLqrjtpeuDBrNvEunuI9/XhrKl+zylFu7rY/e3vEu/pGR5QFBq+8VVy5845fesW40ooEMsEOd+WSmkEA/ExG+gMBWJs29TOa2sOYjCqXHLlJKbOKsVqk4C9eAeTGfOij0AyRvilX6CmU3xp9nJW5yR5vmMrqqJySc1CFMBsMJHS0hQ7C3i1eQNpXeOJjvV8euFVGF7fjKW2il6vyqm0eot0dLD7m98h0T8wPKCqTP3W1/HOmnk6V/uBE/BFR4z194aJhJOjDnSmUmkO7u3j+Sd2EwrGmXNhJRcuqSEnT7bCCyFOH+19bV03MBSMndb5CCGEGP/kp3kxpvhVN0ZXDum1P8dgsaOaraT3bWTSgT3cO+tWnmh8DoBnD6ylLq8KfzzI5Pw6qnMqODjYTLe/i4JlS6n5zCepuffjTPv+93DW1ZIKBkfcS0sm0fX33moc3H/gaJATQNdp+e1DpMLh07ZuMb443VZM5uzMMqNRxeU+tYyps+HAnl7W/HUv8ViKSCjBqj/tpFW2tIp38aWdGCw24q8/islbiGo0k97wNNeaS7hlytXcNu06nt63mrSe5oLy2UzwltHsayeta5lrNJsiVPzjP9B60wIebllNMj36bJvgnn1Hg5wAmkbrI38gFYmc8DwtmSTc1MzQW9uItLWja9oJj/+gcXttI8byCx04nOZRX6urPcBjv9mMfyhKOqWxaX0zG9c3oUmJDiHE6aSfetd1s0klGpeMTiGEENkko1OMKbGEDkYrb038O3a0p5g3w0q93gybfk+8diLBxHBwMZqM4TTZ+dLFn2D/QBOP7XoGgLz8EpKdzZjrJ1BUWQuAlkpRtOIyep57IXMfo9tNpKUVv8uFd+aME84pfYyAZnJoCC2eAKnxeV7Kzbdz08pZme3rRpPKDbfPIq9gZOmEsSCVSrN1Q+uI8b07u5k4pegczEiMWapKLJ5g74zPsKk1ydR6K9Ocg6QaX2ZgYj0vt20aPk5RqMmpIqklObD3xaxLFBtcvJXqZdCSZpK9FqM6+u3mx/pxKjE4iJ5MHvccLZmk54XVHP7lr0HTUEwmJv3TF8i7YMGo7z9eFZW6ueyaybz07D50TcfuMHPdrTOxO0Yf6OztDsC7YprbNrZx0bJa3B4pfSGEOD00XT/lretm6bouhBDiGCTQKcYUg8HA/6zpxWPR+NBkDXvoMKq7CNeVnyCsD2WOm1s6nZ7wAMF4iC2dO9HRuaZiEcnHnqNr+27qS8vgSKBTNRopv+VmrEWF9K9/HVtpCY6aGtp+/xi9a15m5g/ux5ybc9w5OWpqhn9qfkf2Z/HVV2HK8Z65N2KM8Q/00Nm8n5BviOKqOoorajFZ3jt7sa8nSOvhQaKRBBXVuZRVeDGaTr3GXjKRoqPVR2vzEC6Xhcqa3DMaXIxGEkTCCWwOM3b70UCBoihMmlbMvV9YTDAQw+ka7rre1xOk5fAgiXiKyprh9b5XTTtd0/H5oiiAx2s7I53bDapKXqGDjlZf1nhuvmxBFdkUg8pfW1wc6vBz51wz7tBe0DzYL7oVe3A/MLxl3WGy0h3s5RdbHubOGTdyYOAwiXSSOnc5hfv7wWlDr81lZm79KX2BdU2aOGKs+OorMXk8xz0n0taeCXLCcDOkAz/+CY4f/RvWolPZQH926ZpOZ7ufjtYhcrxxAoMtqIpOWfUkCsomnNT7aLEYWbCkmtqGwkzXdYNRZaAvjNtjJRyO0948xEBfmNJyD2UTcrKebW8bGoygoFA3uZCScjfBQJzd2zpxe62YTLIZSAhx+ujvc+t6TDI6hRBCvIsEOsWY0u1LMBiMcU91L6x/HBhOKImVTcI5dzEOs50Ly2YzqaCWUDzMxPwaqjzlhJMRcnULg9v/AkC4pYVIezvh5hYURcFRPQFbZSVmbyPh5lb6170GQCIeJxkMnDDQ6aytoeEbX6Xltw+RHBqi6KorKbrs0lP+9Xm8CQz18/RvfoyvvysztvyWe2iYe/EJz+vvDfHbn20gHIwDw1u777z3AvKLnKfcFGNfYy+P/25r5t/eXBsrP74Am8N8ytc8ns42H6v+vJOuNj+FJS6uuXk6FdVHm1cpikJegTMTaO3pCvDgf79BLJo88jrc9XcXUl2ff9x7hIIxtrzewmsvH0JRFBZdWsfciypP+1oUVWH+omr27OjO1BZ1OM2SzSlG6PfFeGVHL/98hRnjq/+RGfe78pmy/MMczKvhxoYr2D/QRKlrOHj4WusWvrjwXuKhILZXthF65ik8V1/GtMJi8gxpQqGDRNo7MDocOGpqsOS9dxM4Z30dDV+7j+bfPUzKH6DkuqspWLrkhOckh4YyQc63pcNhkn7/OQ90RiIJFMB2jKDi29qaB/ntzzZw+TVFvPTY/5JKJgBQDQZu+tv7KKmqO6l7GY0GikrcpFMaLYf6Obinj9bmQRpmlHBgTy+th4+WrFh6xUQWL6/L+kEm4I/x+O+2cOGyWuLxJOtWH8Sba+OSKydRVOo+4RqEEGK0dP3UmxGZTapkdAohhBhBAp1izLluphtl26+ydswlOvax4ILrqJp5B2sG9uMxuzCrZv68+6/U5FSyt/8gRY4Cln7lU/jv/xnuaVPZ8aWvZradmzxuJn35nxjasjXrXtayUszeE2dmqiYTuXPn4J40ES2RxJTjPW+CnAB9nS1ZQU6A1599jMr6qTjcxw8QtzcPZoKcRaVups8p49nHdxGPp7hoWQ1TZ5WOKqAXDsZZ/XRj1phvMMq+3T1seq2ZeQsnMGNu2TFr1I1WwBflDw9sJugfLnDf2xXk97/exMc/t/i4jTia9vdngpww/MF93eoDlFfljKjn+bbD+/p55YUDmX+vfW4fOXl2ps8pe99reLeySi/3fGYRPZ0BVINKUamb/MKxudVenDuKorB8uhfrjod4Z46MFuxnUlLh3oiFQwMdNBTUsa//8PBrusaWrl1Uu8twRuJUrrwdY24O6c4hUiYne777/UwA0j1tKhO/8FkseXknnIdqMpG7YD7uKQ1oySTmnOM/a95mzs9HMRjQ00e/9Jo8nhP+kHWmRaMJ9u/uZd2LB1AUWLKinolTirBYs5uAaZrOhlebcHmsBPr3ZoKcAFo6za4NayiurB3V356O1iE2rm+mo81PeZUXp9uSFeSE4WfU1Fkl5BcebaLW2xXA7bXz+ppDdLX7geFn7Uur9vLxz534By4hhBgtXdffR41OA3EJdAohhHgX2X8kxhSLyUC+y4ieHlmHTYsGCYYHWH14HSaDEZvJQmPfAZ7ev5ophRN5pWUDjwY2Ufy5v6P3zTezamsm/QF823cw8YufQzUPZ6OYc3Oo/8ynT7gV8p2MTifm3JzzKsgJZH3hfls8FiWdPvEHy3j86OvT55Sx+pk99HYH8Q9Fee4vu9m7s3tU80intaxA4tuSiTQBX4w1f93Lto1tJ9Vg6r10tvsyQc63RSNJfIPHb4QSjYx8n8KhBNoJmqFs39w+YmzXWx2jmOnoFJa4mT63nKmzSiXIKY7JaFBoqPSgxUbWJk75e3GV1LFt6DCJdAqjOvxb6Yq6JbzS9AY/3/oI0cvn0/r7xzj8k5/R8uDvCO0/iLXwaDZlYNduwoebTn4+TudJBTkB7OVl1H/+s6jW4fqRRpeLif/0eSz5x8+qPtOaDwzw5KPbGOwPM9AX5i8Pb6Pl8MgmYLquEQ7GsViMJKKhEa+Hg/5RPduC/hhPPLqN/Y29hINx9u3qIegb2ZlYS+ukU9nXTSbT5Bc6MkHOt6XTGkMD0oRPCHF6ae8ro9NANCFb14UQQmSTQKcYU9KaTkBxY66ZkzWuWp3o6RR740PkWD1ouo4/FiKlpUhr6UxtnwNDzbSV20m2dY24dqS1jfyLFzHzP/6N6ff/CzP+7X7ckyedhVWNb3lF5RiM2cnf0y+8BOcJsjkByiq8KAo4XBYG+0d+Od64rumYgcvjcbmtLLi4OmtMNSgYjEcfYxvXNxMKxE/6mscS9Efp7wmhvrtWpgJWm+nYJwE1EwtGjF24pHpE5tY7lZS7R4wVlYwcE+Js0TSdFp+KeeYV2S+oBsyFVWgWG9sHDqNpadA1PjLzZqwGC/H0cKB/U28jtpLi4XN0nfY/PU7+kuwswFRoZCDvvYRbWul44imaHngQ3/YdpGIjg3aKwUD+xQuZ9aPhZ/zMf/8B3unTR32v02nrhpYRYzuO8QOHwWBg/sUT6O0JUlA+cs7TLrwEVT35j2yD/WF8g9GssVgshc2R/TyqnVQwIku9oMhFWtOxWEdu+jnR80wIIU6F9j4yOi0mqdEphBBiJNm6LsYUj8vCxsYoFK5gorMIvXkTamE19vk3oPjaybEXsHLGjYSSYZp9bQAUOvLxxQIAqIqKouvoF06HxuxtzgWLL0ZRVexlp39b8AdZXnE5N9zzJTa99CS+/m6mzF/C5DmLUA0nbipUWuHhznsv4LU1h44ZIHS4LBjeo1HPOymqwryFVZgtRrZuaMHttTF5ejFvrD2cOcbmMGF4n40yotEUO7d2Mn/RBN5cdzTz7KIlNeQXOo57Xlmllzs+Pp+1z+8nHh3enj9x6olrYE6fU862je1EwsNBIofTzLTZpe9r/kK8Hx6nGbvNxMtD1Vx8wW0o+9aiOHKxX3QL0da3SFdO5iOzPkSOzUMwEaI/PERaP5q17DHYSEWOZj7ryWRWIzcUBVt5+ajmFGlrZ9fXvpnpxN75xFNM+vI/kr/wohHHKoqCrbQEW2nJKFd+ZhyrlIbrOB3LaycVcsNtMzmwp5OLrv4b9m99EU1LM3fZNVTUNozqvsdq+rbp/7d33+FVFfnjx9+3l/ReqQFCACEhgYA0iShFAggWVLCvrNjQ1Udsa10VcXVXxMIPdfdrw7Ur9kJZZalSFZFQQxrp7eb2+f0RuRADIUB6Pq/n8TH3zDlz5wwnczKfM2fmx/1cek0am/53gJyDZfQbFEPq8No29Vjhkf50TwjDajXy7fKdvu19+kcRFCKrrQshmpZSCu1pRjpNBh0OlwevV9V/QC2EEKLTkkCnaFOqbU7iIvwx+oVyMCyGoJ7jsHt12MoUg81W3t7xHr3DezAtaTxZxftIDEtgWJcU3tr2EQCZPcegraghK1JD2mWXkvvBR2i0WrrMvJigs/q38tm1TxqNhtjuvZk0+xbcLicWv4CTHwRodVp69okgvlsIxYVVbF5/kJrq3xfq0WoYNa73CeeuPJHAYAsjz+3F4GFdqbE5eXPJ2jqvmI+7IOm4KwifCv8AExoN5B0qZ+zERFxODwaDjl79IjEYT9xk6g06eidF0bVnKF6PatSCHVGxgVxzywgKcsvRaDRExQQSGnHiYKoQzc2rIMjfQGhgPAc0XQjJSMeLjo+3FnJJEPhpdCinjSd/eAF/g5UZ/SdRYa8NQFr0Zvp7QqguLfPlp/f3xxQZAVotxtAQet5wPX49up9SmSp/2+0Lch5x4I23CDprAIaAxrVHrSUlvSvbN+XgdtcGgw1G3Qnn4LVYDQwa0oXE/lFoNBoGpKUCYLIcf17ghoRH+jFoaBe2rs/2bRs4OI64LsF07RmKw+7GajWiOUFgQKvVcji/gsxLBlJRbkejAZ1e2yRzIAshxLFqFyM6vWO1Wg1Ggw67041VRpwLIYT4nQQ6RZviZ9YTYDWwbkc+BwsqGX5WDD3jgjAbvHi0RvqFdWdTwU4Kqgq5Kf1qalw1lJUXMSX2bLoFxxNr02My+TMgNongYbFEZYwFjQZzROvN0dZRGIwmDMZTXw3caNITEx/M1TedTfa+UlxON3HdQojt0vAiUA2x+hmx+hm54oZhZO8rpcbmJK5rCLFdGjff6snynnLpIN5/4ydWfLELo0nPBTMGEBHVuDktTaZT+0M7LMKPMAluijZCA/hbjOzYU8xPuw6T2C2U9P7RRIVZcYT2xfnDe1gGnU2100a108YL6/+PO87+E5cMyKRvtYXQQjuHgoJwlZfjn9iHrpddisfh4KwnHgOdDp3JWHeEZyN4nfXnv/XW2OssOtRWxXcL4ZpbRnBofylooEv3EKLjGm6nzL6HJKffaTeZDZw7KZG+/aMoLKgkIjqQuK7BmH4fXa/3P/mI/LxDZXz+wQ48bi/x3UKYculA9PpTezglhBAnU7sY0emPxrSa9FTVuCTQKYQQwkcCnaJN8XgVL36wnerf527cn1fBmMHxjE/vQl6xh1BjbUCooLqIUnsZP+5bzyWaJBKyoeDV1/G/cQ6Hl39J1Z59JN17N37du7Xm6YhjREQFEBHVtKOvwiL8CYto+kV1YrsEc83NI6goq8FiNRASJoFI0Xl8tGov2/cUAXAgv5JtWYXcdNEgjHod1Xl70A9Ir7P//rJDZBXvZ1BuKNmffUPEOaMxRUSg0WnZ+dgTKLcbrclEzzl/4uAbbxF/8XQix52Lzti40dcBvXuh0etR7qPzsMVNn4Yx+PQflrSkmPggYuLP/CHMqfIPMJM4IJrEAdGnfKzZYmD4OQkkDojC7fISFGrF0sAcxUIIcbqUgjN56dxi0tf2Gxq3bp0QQohOQBYjC/TWtwAAIABJREFUEm1KdkGVL8h5xA9bcqi0uTEFh7KhaDcAGjT4GaxM1Pch++/Pk/3Oe1ji4sj/5jv8evbEUVDAoQ8+xOuWCcrF6fEPMBHbJViCnKJTKSyz+4KcR+QX2ygosVGjjOgCQjlE3RGWJq2BQdF9IakXlgljKPrvj3jsdva9+m9fcNLrcLDvlVeJyZzE3iWvUJOdTWP59ezBgEcfImRIGtbu3Ui4+UbCR408+YHijGi1GsIjA4iOC5IgpxCi2XjPcESnn8VAedWZLUQphBCiY5ERnaJNMejrx971ei1B/gY8Godv0aFxCSMJMPihP1RK4OUzax8FexUH31qGX5fahS4qtu/AXVXVbkb9nEx1ZTnFeQex19gIDo8mPDr+pAsCCSHEqdBqNWg09d8uD/E3Ydn9Oaapt/HxxqW+7eHWUPpE9CSn4jAP7XkLc4CJi26eRryKAK+XoEEDCRrQH6/TidZoxBgRAUrhKC7BPyGhUWXSaLUE9kuib5/eKJcbnUUWxBGN56ixUZSXTVVFCYEh4YRHd8VgOvVpWIQQzeNM5ugE8LcaKKmwn3xHIYQQnYYEOkWbEh3mR0y4lbyio6v2jk/vRmW1i16qiOn9JmDQGonxj6TMVortzbcBCB85Aq+z9mmu9vcOTHBKMnq/jjEar7qyjO/ff40Du7YBtR3/C2bfSve+g1q5ZEKIjiQ6zMrY1C58v/HoiMu+3UMoLK8hJn8vHreDKwfOoNBeik6jI8QSxBubP2RUj6G4PW4qPS5e2/cFd501i4B+SZjCwzn4ezsN0PWKy7DEx2EKP/V5k7V6PejlzxbReC6ng59Wf8Gmlct920ZeMJOBw8fJg0Ih2gD1+1O1MxnRGexvIq+oGo9XkXO4kq7RgU1VPCGEEO2U9BhEm+L2eJk4vAellXaKy+10jQpg18FSqu0uegbvYYu2iAi/UMw6I4UeFxEGA8rlouiHH+l6xWUYgoKo+GUnlq5diJ02Ba2hY7xuV5R70BfkBFBeL6s+fp3IuB5YA+QPOiFE06iyOTkrIZzIEAs5hdVEhVpxOD28/vlOnhh/Nu61b1EZFcaH+1bRNTCOYV1S2FN2AEuOmX6Rvfn58G8A7KzKZvJF09n5yN/q5J/9zrv0nX8X1t9H3gvRnEoL8+oEOQHWfPkuXfucRWhkbCuVSghxhPcMR3MCdIkK4L9bcggLsrD4va188vSUMwqcCiGEaP8k0CnaFINeyy/7StiWVUiQn4kftubi9SqumJAIxiCuShpDSU05y3Z8woXdz6mzOIUpMpKQoUPw1tRgiY3BENTyiz80F7utut62yvISXE47IIFOIUTT0GqgotrBe99nERFsYf0v+TicHnrEBqIp2402MJy0Lqlo/UMIsQTz/Pp/AbULxPUNP/oqerBLj7O8tF7+yu1G7+/fYR5CibbNUVP/3un1eHDU2I6ztxCipSml0JzRUkTQp0sI32/M5u2vdwFQXuUkOECmpxBCiM5MFiMSbUpltZOMtHiUgrziarxeRWigmbN6hkNsfyJ0FjzKg0lrICKr2DeRnEavx69Hd/y7dyMwqW+HCnICBEdE13vk3TMpBb/AjjH/qBCibXC5Fb3ig4mL8COvuBqH04NOq+Hy8X1Re9cSOPpyysvzKagu4us9q32vHQ6NS2ZnYRYAEeYQuhZ5sOflobNa6+RviojAHB3V4uclOqfAkAhM5rrXoH9QKAEhpz51ghCi6Xm9Cu0Z9ka1Wg1pSVG+eTrLZGEiIYTo9GREp2hbNBq++N9+7rh8MEVlNeh1GsxGPX4WAy5XAGX2CvRaPTf1yKTy3+8BtR3nhLl/7tCvQoZHd2Hi5Tex6pPXsVWW071vMsMnXITeYGztogkhOhC9TsvO/SVcdn4i1TVuHG4PgVYjXrcH/6n3oMoOEBjbjR46xY8HN6LVaEmPTyEt5iziHCa0Hi9huZVUL/sAh8VMr5tv5OBb71Bz6BB+vRJIuHEOxpCQ1j5N0UkEhUVywVW3seKDf1FamEdEXDfOmXYV/vKQUIg2wes9sxXXj0jpE4FRr2XTr4eprHY2QcmEEEK0ZxLoFG3K4RIbm3cVsnlXYZ3tT8wdQUKghuzCPDQlNeT+/d/0nn8nvW+Zi85q7TArq5+ITq8nYUAqUV0TcDvt+AWGYDDKazlCiKb3w9Zc9udV1Nl2XnpXYkZ0IzLMg7GkiHd3f8bYHsMx6ozsKtyD3WUn/NutVG/YTNXvx7grq0Cv46wnHsVdVYU+MBCDv3/Ln5Do1GK792H6nHtw2Kox+wditlhPfpAQokV4lUKrPfNAp0GvI7lPJD/vK6GqRgKdQgjR2UmgU7Qp/tb687YF+hkxGXTklXsJ1pmw/Xctuv5J+HXrhiU6uhVK2XpkFIoQojkpFLHhfvUCnTHhftidinK7iwCgzF7BZ799j16r57KBU9leuIuzzh+GIWsfrtIyAMLOHkZAr94YAgMxBNadS9hVWYmzuAS9nx+mCHmNWDQvi18AFr+A1i6GEOIPvAq0TbhwkMmow2Z3n3xHIYQQHZoEOkWbYjEbGDYghrU78oDaaSlnT0xCpwO90Yiuxo/gSRMJ7tYDc3AIXpcLZ1kZOotFRgoJIcQZsjs9nJMaz9asIqprXABEhVrpEx9MeZUDu7+JA/ZCHj7nDg6W52AxWIiwhpIQ0pVIv3D8Fw7CnpOL1mTC0iX+uO1y1d69ZD23mOp9+9EHBtJr7hxChw5Bo9O19OnisdtxVVRiCPBHZ7G0+PcLIURnVvvqetPkpZRCW3mYQ19+w74Vv2LpOYiQUZdiiureNF8ghBCi3ZBAp2hTSsrtjBwUy9lnxWB3eogKtbB6Sw4J8UGEWfVU6YKITuwJgC0nh+x33qV4zVqs8XH0uP46AvsnNclcP0II0RnptFpW/3SI2y9LobjMTqCfEa9SlFc7OZBfSXXQdr7PXkFq7EBSovvz/za9hZ/ByqxBF5IQ2g2TnwlzRMQJ83dVVrL7n89j238AAHdFBb8+9XeSn1mIX4/uLXOSv6vat58D//cG5du2E9A3ke7XXEVAr4STHyiEEKJJeL2qyUZ0Vm79HspL0fYeSuTQCdTs20beGw8SMPg8QkfPRKOTbq8QQnQW0uKLNiUixMxry39hz6FyAMxGHbfNTEGn1VC1PxujrRrieuKpsbNvySuUbdkKQPW+/fzy8KMM+vtTWLt2ac1TEEKIdkurhZ7xwTz26nrftolnd2fkoFgKq0pZUVC7fVPuNhJCu6KAYHMgX+9ZTYDRj3C/MGIDT7yquruyipqc3LobvV5q8vJbNNDpKC1l14KF2PPyAajY8TM7H32cgU8/2WCgVgghRNNpqjk6aw78jG3PZgLixuLQmtGarPj1HYa5W3/K//cxudkPEX3R3eisMoWFEEJ0BtrWLoAQx8ovtvmCnFD7GuXyH/ZhNOhQeg+G4CAAHIWFviDnEV6nE9uhnLrbvF5KC/M4nLMfu60KIYQQJ+ZyeVn29a46275Ysx+H00OR4ReqnNW+7X4GK1MSxxFsCSQxLIHimnJ2F+9lb8mBevnaDmaT/Z/32P/v14m/aDrho0bUST/StrcUR36BL8h5hKusrN42IRz2GgpzD1JckIPH7Wrt4gjRoTTFq+uusnzK139CwMAxmExGapxeX5rOEkDI2MvRB4SS+3/34bFVNJCTEEKIjqLDjujct28f8+fPp6ysjODgYBYsWED37t1bu1jiJEorHPW25RyuwuF0Y7aYMQWEAaA1m9BZrXhstjr76v2OrqbqtNewY/1K1n79AV6Pm4i47oy7+HrCouKa9ySEEKKdqnG4cbq99bZX1TjZmLfJ99lqsKDX6nn3588A2JS7nS5BsSSGJ+Bn9CPcUUWgqXZ+TnvBYX5+5DGchUUAlKxdR/SE87HEx1FzKIeYyZPw69a1Bc7uKJ3FUjt81Vv3XHVWWZFbHFVWXMDqT97k4G/b0Wi1JI84n5TRE7H6B578YCHESXnVmb267rFVUvz9G1h7D0UfGI6xxEapre5iRBqNloCU86jc8h357zxO7OxH0ejrL34qhBCi4+iwIzoffPBBLr/8cr766isuv/xy/vrXv7Z2kUQjdIup/0rJ2QNjMJt0VIdasRcUAGCOjKTHdVfX2S84dTDW7t18nw/n7GfNF//B66n9g6cwZz/rv/0It8vZbOUXQoj2LCTATERw3UV5zEYdkSF+DI1PxqI3kxjWi3nDr+OtbR/V2S+7PJcQcyC7i/fhPKadtR044AtyHlHw3Qp6/ul6BjzxGF0vn4nez6/5Tuo4LHGxxF80o8626AsmYomLbdFyiLZLKcXOjf/l4G/baz97vWz+75fkHdjdyiUTouOoHdF5eoFOr9tJyYo3MMX0whRTO3+/Ua/B7qz/sE6j0RCQnIFGb6D423/VS1ceF15nzWmVQwghRNvTIUd0FhcX88svv/Daa68BMHnyZB599FFKSkoIDQ1t5dKJhlTaXFyU0ZvPftyH3elmcGIkseF+aDUaNNR2NI4IGzkCc2wsNTm5GIIC8e+VgDHo6OuPZcUF9fI/sGsbNdWVBASHtcTpCCFEu1JeZWfamAS+XHuA7IJKIkMsTBmVQHm1g6HBGaiC3ujsRmpcdqpdtnrHK0CDBqvxaLBUeVX9L1IKU2QEltiYZjybE9MaDMROnUzQgH7YDx/GFBaOf6+e6GXldfE7h72GPTs21duet383Cf1TW6FEQnQ8tXN0nt6xlVu+RWM0Y+kx0LfNqNdQ4zzOPYfakZ1Bw6ZQ9MX/w9ylL/79RwFQs28bBR/9A+V2Ejn1Nvz6DDm9AgkhhGgzOmSgMy8vj6ioKHQ6HQA6nY7IyEjy8vLqBDorKiqoqKg7V0t+vszP1ZpyC6tYvTmHCcO7YdTr+HlfMV/87wApiRGYCkqwdj06YlNvNhPUL4mgfknHzcs/MKTetoi4bhjN8mqiEKJpdLT7SI3Tw2vLf2HEoFiGnxVDWaWDN77cyfVTB3Awz86nK3KZkZHA+pyNDI1LZn3OFt+xMf6RVDqqSIkZUCfQae3WFUNQEK7yo/Mvx0yehDkqskXP7Y8M/v4EDxp48h1Fp2QwGonp1puyorq/z+ExsuChaHod7V7SWB6PQncakU5XWQE1e7cSdPa0OiNCjXoNjuNMv3KE1mghZPQlFH25FK+jBq/LSdkP7xI88iI0Oj2FyxdjnrsYnbll3zIQQgjRtDpkoLOx/v3vf/P888+3djHEMZJ6hPHByiw+XLnHt+3KSUlEBBnxuqJPaTXcyLju9BmUzm9b1wFgNFsYMfFSTGYZsSOEaBod7T4SGWIhPMjMqp8O+bbFR/oTF+HPC+9vIy7Sny7dPZg84SRF9KJ3WA825m6jR3AXuofEY9AaiAuMrpOnJSaa/o/8lcPfr6RqdxYR54whJC0Vze8PI4Voi3Q6PYNGnMfB3TuorigFIK5HIrE9Elu5ZKIj6mj3ksbyek9v1fXK7SsxdxuA1mCus92o02B3HX9E5xGGkGhCM2ZRuW0lGq2O0POuxhBU278wxfaifMPnhI66+JTLJIQQou3QKKUavhu0Q8XFxYwfP55169ah0+nweDykp6fz9ddfN2pE5xVXXMF3331HfHx8Sxe908srrGL3oTLeX5FFdY2L84Z2JaVPBH26nd6UA3ZbNSWHc3A67ASHRxMc1rojiIQQHUtHvI/8vKeI5T/u45d9JfTtHsr4Yd3oGWNl54EKusZaceuq8Xo9BJoDCLOGUGIrpbSmHDQaIqyhBJrrz7V8hPJ60Zzue4pCtILK0mJKCnPR6Q2ERcZikYWIRDPoiPeSxthzqIyFb2ziposGNfoYj62cwk8XEzRyBlq9sU5acaWbd9aVsPjqbic4umGusgJKV7xF11teRqPr1OOBhBCiXeuQLXhYWBhJSUksX76cqVOnsnz5cpKSkurNzxkYGEhgoPzB2pbERPgTE+FPQnwQLpeH+MgA9PrTH/VjtvoR271PE5ZQCCGO6oj3kf4J4USF+VFR7cTPokWjwGw2M/ws/9/3CK6zf6g1hFBr/alCjkeCnKK9CQgJIyBE5vUWzasj3ksaw3MaIzqrs37CGN2jXpATTrwYUWMZgqPQBYRS/dsG/JOGn3Y+QgghWleHDHQCPPTQQ8yfP58XXniBwMBAFixY0NpFEqcgLuLEI4KEEEI0r/BgC+HBMs2HEEKI5uP1KnSnEOhUyktN1k/4nzX6uOkmw8lfXT8Za6/BVGz4TAKdQgjRjnXYQGdCQgLvvvtuaxdDCCGEEEIIIcQfnOqITldhNuh06AKOP8raoNPg8SrcHoVed+pzfwKYuyRRufkbHPl7MUX3PK08hBBCtC55h0wIIYQQQgghRItye7xoNY0PSNr2bcUU1aPOSuvH0mg0mA1aas7g9XWNTo81cRglq5addh5CCCFalwQ6hRBCCCGEEEK0KI9HoWvkyEvldWM/8DPGk4yyNBs1VDtOP9AJ4NdnCM6Cfdh2bzqjfIQQQrQOCXQKIYQQQgghhGhRbo+30XN02nOz0PkFo7P4N7ifxaClyuE5o3Jp9AaChk3l8PLncRYePKO8hBBCtDwJdAohhBBCCCGEaFEutxedtnHd0Zo9mzFG9zjpflaTlqqaMxvRCWCK6k5gyvnkvv5Xqn75EaXObJEjIYQQLUcCnUIIIYQQQgghWpTL423UokEeRzWOvL0Yo7qfdF+rUUtZjbsJSgeWHmcRMmYmJSvfIu/1B6g5+EuT5CuEEKJ5ddhV14UQQgghhBBCtE1ut6dRq67X7NmCMaILWoPppPv6mbWUVp3Zq+vHMobHEz7xBmr2buHwx/9E7x9C8NnTsfYZcsJFkYQQQrQuGdEphBBCCCGEEKJFOVxeDPqGu6NKeajetQ5Tl77HSVO4PC5cHpfv1fIgi57DFa4mLadGq8PaK5WIyTdhSUihZMUb5Cz9CzX7tzfp9wghhGgaMqJTCCGEEEIIIUSLcjg9GPS6BvexH/wFrcGEISgCqA1u5lTks7t4H/lVh3F7a+fj1Gm0hFmD0brjyC3yx+0JRa9r2q6uRqvF0q0/5q79sB/8mcMf/xNz136EjbsGfUBIk36XEEKI0yeBTiGEEEIIIYQQLcrhdKPXn/j1b6U8VG5dgSUhGYCCykLWHdqCW7npEhTL8JA0TDojAE6vk3J7JfkVpWQXm3hi9YuEWYMIt4YSZg0m1BJS+39rCH4Gyxm9dq7RaLB0G4Aprg9V21dzaMltBA65gKAhk9BZAk47XyGEEE1DAp1CCCGEEEIIIVqUx6vQNhBwrP51PRq9EU9QOKv3ryO/8jC9w3oQ7R9ZL1Bp0pmI9DMR6RfOr/tcjI6fjJ+1knJ7JVWOavIrD1PhrKLCXoXL68bPYMGkN2HQ6tHrDFj0RvxN/oRZggm3hhDuF0aQObDB8mn1RgJTxmHtlULVjv9y8PkbsSYkEzDoXCw9B6HRyCxxQgjRGiTQKYQQQgghhBCizXAW51C5fQX53RPZuvMrYgOiObtrGnrtybuvXcK1/HoIxieHEm4NrZfu8riwux04PS48yoPb68bpcWFz1nCoPI+fC3dTVlOO0+Mk1BJChF8okX5hhPuFEmoJIdQSjOGY1+L1AWEED5+Gd7CNmv3bKf7mNZTbReDQyQQOykBrsjRp3QghhGiYBDr/wOOpXaUvPz+/lUsihBCiLYmOjkavP/ltU+4jQgghTkTuJUdVVFZgq3aRfzgfu8eB3e3A5rKh8n4j/OBOtvubcdnK6B+SiFVvxm6zHzcfRe1CRBpqR1/GBmr4cbee1C7VNDQFqA4NOvQY0WPFTLAxAIxH011eF5WuaipdNg4W57AzP4sqdzXVrhpMOiP+Bj/8DVb89BYsejMmvRGz1oSp9xCstgpqtnxH8Yo3IaYPupg+aAMjwGgFnQ6NVg96Y+1ng0lWcBdCNFpj7yOdmUYdWaJOALBx40auuOKK1i6GEEKINua7774jPj7+pPvJfUQIIcSJtPS9ZKCfP/O6dD/jfE6XU6/h1alhOEz1X+N2HeqFN7cn3fWF9dK8gEujQXOaPdVD7kgAIvUlXBX8BU0dR/RoNXi1oE6SscXjJdrladovbweqC6DiQGuXQoi25amD+/jVVn3G+TT2PtKZSaDzD+x2Ozt27CAiIgKdruFVAJtafn4+V1xxBW+++SbR0dEt+t1tjdTFUVIXR0ld1JJ6OKol66KxT09b8z7SVOQaOzmpo4ZJ/TRM6qdhHbl+OtO9pDE68r91a5E6bVpSn01P6vTMyIjOk5Pa+QOz2UxaWlqrliE6Oloi9L+TujhK6uIoqYtaUg9HtaW6aAv3kabSluq1rZI6apjUT8OkfhrWmeunI91LGqMz/1s3F6nTpiX12fSkTkVzkaXghBBCCCGEEEIIIYQQ7Z4EOoUQQgghhBBCCCGEEO2eBDqFEEIIIYQQQgghhBDtnu6hhx56qLULIY4ymUykp6djMplauyitTuriKKmLo6Quakk9HCV10TykXk9O6qhhUj8Nk/ppmNRP5yH/1k1P6rRpSX02PalT0Zxk1XUhhBBCCCGEEEIIIUS7J6+uCyGEEEIIIYQQQggh2j0JdAohhBBCCCGEEEIIIdo9CXQ2o48//pjMzEz69evHG2+8USetpqaGefPmcd555zFhwgRWrFjRrGntyb59+7j00ksZP348l156Kfv372/tIp2xBQsWkJGRQWJiIr/99ptve0Pn2hxpra20tJQ//elPjB8/nszMTG6++WZKSkoA2LJlC1OmTGH8+PFce+21FBcX+45rjrS2YO7cuUyZMoVp06Zx+eWXs3PnTqDzXRdHPP/883V+RzrjNdFWtIfrpam1ZDvd3rR0291etWSb3l61RDsv2o+OeI03t+Zoj0WtpmqfBDgcDh588EHOP/98MjMzeeCBB4DOd88TrUiJZrNr1y61e/duddddd6nXX3+9TtqiRYvUfffdp5RSat++ferss89WVVVVzZbWnsyePVt99NFHSimlPvroIzV79uxWLtGZ27Bhg8rNzVVjx45Vu3bt8m1v6FybI621lZaWqrVr1/o+P/nkk+qee+5RHo9HjRs3Tm3YsEEppdTixYvV/PnzlVKqWdLaioqKCt/P33zzjZo2bZpSqvNdF0optWPHDnXdddf5fkc66zXRVrT166U5tGQ73d60ZNvdnrVkm94etUQ7L9qXjnaNt4Smbo9FraZqn0StRx99VP3tb39TXq9XKaVUYWGhUqpz3fNE65JAZwu4++676wU6J02apLZt2+b7fMMNN6jPP/+82dLai6KiIpWamqrcbrdSSim3261SU1NVcXFxK5esaRzbgW7oXJsjrS368ssv1VVXXaW2bt2qLrjgAt/24uJilZycrJRSzZLWFn344Yfqwgsv7JTXhcPhUJdcconKzs72/Y7INdF62vr10tyau53uCJqz7e4omrNNb49aqp0X7UdHu8Zby5m2x6Jp2yehVFVVlUpNTa034Koz3fNE69O39ojSzio3N5e4uDjf55iYGPLz85strb3Iy8sjKioKnU4HgE6nIzIykry8PEJDQ1u5dE2roXNVSjV5WlurP6/Xy9tvv01GRgZ5eXnExsb60kJDQ/F6vZSVlTVLWnBwcMucZCPcd999/PjjjyilWLp0aae8Lv75z38yZcoU4uPjfds68zXR2jpTO3wyzfH72N7rsLnb7vb+u9gSbXp7vIZaqp1v79dPZyL3mjPXFO2x/M40bfsk9QnZ2dkEBwfz/PPPs27dOvz8/Ljtttswm82d5p4nWp/M0XkGLrzwQtLT04/7n8fjae3iCdGmPfroo1itVmbNmtXaRWlVf/vb31i5ciW33347Tz31VGsXp8Vt3ryZHTt2cPnll7d2UYQQjSBtd8M6e5t+PNLOC9E8pD0+c9I+NT2Px0N2djb9+vXjgw8+4M477+SWW27BZrO1dtFEJyIjOs/Ahx9+eNrHxsbGkpOT43tCkZeXR3p6erOltRcxMTEUFBTg8XjQ6XR4PB4OHz5MTExMaxetyTV0rkqpJk9rSxYsWMCBAwd46aWX0Gq1xMTEkJub60svKSlBq9USHBzcLGlt0bRp0/jrX/9KdHR0p7ouNmzYwJ49ezj33HMByM/P57rrrmP27Nmd/ppoLZ2pHT6Z5min27OWaLs7iuZs09ublmznRfsh95oz01TtcWfX1O2TqP3d1uv1TJ48GYBBgwYREhKC2WzuFPc80TbIiM5WMmHCBN555x0A9u/fz/bt2xk1alSzpbUXYWFhJCUlsXz5cgCWL19OUlJShxyy3tC5NkdaW/HMM8+wY8cOFi9ejNFoBGDAgAHY7XY2btwIwLJly5gwYUKzpbUF1dXV5OXl+T5///33BAUFdbrr4oYbbuCHH37g+++/5/vvvyc6OppXXnmF66+/vtNdE21FW75eWlpH/J07XS3VdrdXLdmmtzct2c6L9qMjXeMtrSnb486uqdsnUfsqf3p6Oj/++CNQu5p6cXEx3bt37xT3PNE2aJRSqrUL0VEtX76cp556ioqKCgwGAxaLhVdffZVevXphs9mYP38+O3fuRKvVctdddzFu3DiAZklrT/bs2cP8+fOpqKggMDCQBQsW0LNnz9Yu1hl57LHH+PrrrykqKiIkJITg4GA+++yzBs+1OdJa2+7du5k8eTLdu3fHbDYDEB8fz+LFi/npp5948MEHcTgcxMXFsXDhQsLDwwGaJa21FRUVMXfuXGpqatBqtQQFBXH33XfTv3//TnddHCsjI4OXXnqJPn36dLproi1pL9dLU2rJdrq9aem2uz1q6Ta9PWvudl60Hx31Gm9OzdEei6Oaon0StfN03nvvvZSVlaHX65k3bx5jxozplPc80Tok0CmEEEIIIYQQQgghhGj35NV1IYQQQgghhBBCCCFEuyeBTiGEEEIIIYQQQgghRLsngU4hhBBCCCGEEEIIIUS7J4FOIYQQQggIuXlOAAATuElEQVQhhBBCCCFEuyeBTiGEEEIIIYQQQgghRLsngU4hhBBCCCGEEEJ0ahs3bmT8+PGtXQwhxBmSQKcQAoDZs2fz7rvvtnYxTtn8+fN59tlnW7sYQgjRrHJzc0lJScHj8bR2UVi3bh2jR49u7WIIIYQQPh988AGXXXbZGeWRlpbGV199dUZ5ZGVlMX36dIYMGcKQIUO4+uqrycrK8qUrpVi4cCHp6emkp6ezcOFClFJn9J1CiLok0ClEK3C73a1dBCGEEG1cRkYGa9asASA2NpbNmzej0+lauVSnpr0+jFq0aBF33nlnaxdDCCHaJOnLnFhkZCTPPfcc69evZ+3atWRkZHD77bf70t955x2+/fZbPv74Yz755BNWrFjBsmXLWrHEQnQ8EugUooVkZGSwZMkSMjMzSU5OZuPGjcycOZO0tDSmTJnCunXrfPtmZ2cza9YsUlJSuOaaa3jkkUd8Ha7jjaQ5tjPs9XpZsmQJ48aNIz09ndtuu42ysjIAHA4Hd955J+np6aSlpTFjxgyKiop49tln2bhxI4888ggpKSk88sgjKKV4/PHHGT58OIMHDyYzM5PffvutwXO02+08+eSTjB07ltTUVC677DLsdjsA3333HRdccAFpaWnMnj2bPXv2+I5LTEzkwIEDvs/HdoyPnO+rr77K8OHDGTlyJO+//z5Q+4fCp59+yiuvvEJKSgp//vOfT+vfRgghhBBCiLYsIyODpUuX+voS9957L0VFRVx//fWkpKRw9dVXU15eDsCtt97KiBEjSE1N5YorrmD37t0AOJ1Opk6dyuuvvw6Ax+Nh5syZPP/88w1+96JFi7j11lu58847GTx4MB9++CGVlZXce++9jBw5klGjRvHss8/63jrweDwsWLCA9PR0zj33XN58800SExN9AdJj+y5H8j/24dKWLVtO2E/64IMPOPfcc0lJSSEjI4NPPvmEPXv28OCDD7JlyxZSUlJIS0sDYNWqVUyaNImUlBRGjRrFK6+80uB5/rGflZGRwSuvvEJmZiapqanMmzcPh8PRYB6BgYHEx8ej0WhQSqHT6Th48KAv/aOPPuLaa68lOjqaqKgorrnmGj788EPgxH01IcQpUkKIFjF27Fg1ZcoUlZubq/Lz89XQoUPVypUrlcfjUT/88IMaOnSoKi4uVkopdckll6jHH39cORwOtX79epWcnKz+8pe/KKWUWrt2rRo1alS9vH/88UellFL/+te/1MUXX6zy8vKUw+FQDzzwgLr99tuVUkq9/fbbas6cOcpmsym32622b9+uKisrlVJKzZo1S/3nP//x5bl69Wp14YUXqvLycuX1elVWVpYqKCho8BwfeughNWvWLJWfn6/cbrfatGmTcjgcau/evWrQoEHqhx9+UE6nUy1ZskSNGzdOORwOpZRSffr0Ufv37/flc/fdd6tnnnnGd75JSUnqH//4h3I6nWrlypVq4MCBqqysrN6+QgjRUdx5550qMTFRnXXWWSo5OVktWbJE9enTR7lcLqVUbZv9zDPPqEsvvVQlJyerOXPmqJKSEnXHHXeolJQUNX36dJWdne3LLysrS1199dVqyJAh6vzzz1efffbZScuwcuVKNXHiRJWcnKxGjhypli5dqpSqfx/KyspSs2bNUqmpqWrSpEnq22+/VUoptWzZMtWvXz/Vv39/XxmVUurll19WI0eOVMnJyer8889Xa9asabAcbrdbvfjii+rcc89VycnJ6sILL1S5ublKKaU2bdqkpk+frgYPHqymT5+uNm3a5Dvu2HujUko999xzvntpdna26tOnj/rggw/UmDFj1NChQ9ULL7yglFJq1apVqn///qpfv34qOTlZZWZmnrSuhBCiuY0dO1ZdfPHFqrCwUOXn56thw4apadOmqZ9//lnZ7XY1e/ZstWjRIqWUUu+++66qrKxUDodDPfbYY2rKlCm+fHbt2qXS0tJUVlaWeuGFF9TFF1+s3G53g9/93HPPqX79+qlvvvlGeTweVVNTo+bOnaseeOABVV1drYqKitSMGTPU22+/rZRS6q233lLjx49Xubm5qrS0VM2aNavOPayh9rmhflJ1dbVKSUlRe/bsUUopVVBQoH777TellFLvv/++mjlzZp1yjxgxQm3YsEEppVRZWZnasWNHg+f5x/vb2LFj1YwZM1R+fr4qLS1VEyZMUG+99VaDeRyRmpqqkpKSVGJiolq8eLFv++DBg9WWLVt8n7dt26aSk5OVUg331YQQjScjOoVoQbNnzyYmJoaPP/6Y0aNHM2bMGLRaLSNGjGDAgAGsWrWK3Nxctm/fzm233YbRaGTIkCFkZGQ0+juWLVvG7bffTnR0NEajkZtvvpmvvvoKt9uNXq+nrKyMAwcOoNPpGDBgAP7+/sfNR6/XU11dzd69e1FKkZCQQGRk5Am/1+v18v7773PfffcRFRWFTqdj8ODBGI1GPv/8c8aMGcOIESMwGAxcd9112O12Nm/e3Khz0uv13HTTTRgMBsaMGYPVamXfvn2NrhMhhGhvFi5cSGxsLC+99BKbN29m4sSJ9fb5/PPPeeqpp1i9ejUHDx5k5syZzJgxg/Xr15OQkMDixYsBsNlsXHvttUyePJk1a9bw7LPP8vDDD9eZM+x47rvvPh555BE2b97M8uXLGTZsWL19XC4Xf/7znxkxYgRr1qzh/vvv584772Tv3r1ceumlZGZmct1117F582Zeeukl9u7dy5tvvsl7773H5s2beeWVV4iLi2uwHK+99hqfffYZS5Ys4aeffuLxxx/HbDZTVlbGnDlzmD17NuvWreOaa65hzpw5lJaWNrqeN23axJdffsm///1vFi9ezJ49exg9ejRz5sxh4sSJbN68mU8++aTR+QkhRHOaNWsW4eHhREVFkZaWxsCBA+nXrx8mk4nzzjuPX375BYCLLroIf39/jEYjt9xyC7/++iuVlZUA9OnThxtvvJG5c+fy6quv8tRTTzVqWpTk5GTGjRuHVqulqqqKVatWce+992K1WgkLC+Pqq6/ms88+A+CLL77gqquuIiYmhuDgYObMmdPoc2yonwSg1WrZvXs3drudyMhIevfufcK89Ho9WVlZVFVVERQURP/+/RtdjiNmz55NVFQUwcHBjB07lp07dzbquI0bN7Jx40YeeOAB+vXr59tus9nq9L8CAgKw2WwopU6pryaEODEJdArRgmJiYoDaRSW+/PJL0tLSfP9t2rSJwsJCDh8+TGBgIFar1XdcbGxso78jNzeXm266yZfvpEmT0Gq1FBcXM3XqVEaOHMkdd9zByJEjeeqpp3C5XMfNZ/jw4VxxxRU88sgjDB8+nAceeICqqqoTfm9paSkOh4MuXbrUSzt8+HCdc9BqtcTExFBQUNCocwoODkav1/s+WywWbDZbo44VQoiOavr06XTt2pWAgABGjx5Nly5dOPvss9Hr9UyYMMHX4V25ciVxcXHMmDEDvV5Pv379GD9+PF9++WWD+Temg7h161ZsNhs33HADRqOR4cOHM3bsWF9n9490Oh1Op5M9e/bgcrmIj4+na9euDZbj3Xff5bbbbqNnz55oNBr69u1LSEgIK1eupFu3bkybNg29Xs/kyZPp2bMnK1asaGQNws0334zZbKZv37707duXX3/9tdHHCiFESwsPD/f9bDKZ6nw2m83YbDY8Hg9PP/0048aNY/Dgwb4BE8c+BJo2bRq5ubmMHj2a7t27N+q7o6OjfT/n5ubidrsZOXKkr8/x17/+lZKSEqD2b/8j/R449b7MifpJVquVZ599lmXLljFy5EhuuOGGOtNh/dFzzz3HqlWrGDt2LLNmzWr0IItjRURE+H4+1T6I1Wrlsssu4+6776a4uNi3rbq62rdPVVUVVqsVjUZzSn01IcSJ6U++ixCiqWg0GqA24Dl16lQee+yxevvk5ORQUVGBzWbzBTtzc3N9x1osFt+8l1A7B86RPyqg9o+Qxx9/nNTU1OOW4eabb+bmm2/m0KFD3HDDDfTo0YOLL774uPteeeWVXHnllRQXFzNv3jyWLl3KvHnzjrtvSEgIJpOJ7Oxs+vbtWyctMjKyzvyeSiny8vKIiorynVNNTY0vvbCw0Jd2MkfqRQghOpvGdHih9r6ybds235xlUHvvmDJlSoP5P/fcc7z44ov8/e9/JzExkb/85S+kpKTU2efw4cNER0ej1R59dh4bG3vCB1ndunXj3nvvZdGiRWRlZTFy5Ejmz5/fYJufn59/3GDoHx+iney7j+fYOpOHaEKIjuDTTz/lu+++47XXXiM+Pp7KykqGDBlSZ2Xvhx9+mLFjx/LDDz+wcePGOveHEzn2b+4jb46tXbu2zmCEIyIiIsjLy/N9PvZnOP7f/kc01E8CGDVqFKNGjcJut/OPf/yDBx54gLfeeuu4fYKBAwfy4osv4nK5ePPNN5k3b55vZGhL8Xq91NTUUFBQQFhYGL179+bXX39l4MCBAPz666++UakGg+GU+mpCiOOTEZ1CtIIpU6awYsUK/vvf/+LxeHA4HKxbt478/Hzi4uIYMGAAixYtwul0snHjxjqjU3r06IHD4WDlypW4XC5efPFFnE6nL/2yyy7jH//4Bzk5OQCUlJTw7bffArB27Vp27dqFx+PB398fvV7v65yGh4eTnZ3ty2fbtm1s3boVl8uFxWLBaDTW6cj+kVarZcaMGTzxxBMUFBTg8XjYvHkzTqeTiRMnsmrVKv73v//hcrl49dVXMRqNvg5z3759Wb58OR6Ph9WrV7Nhw4ZG12VYWBiHDh1q9P5CCNHZxMTEMGTIEN9rdBs3bmTz5s08/PDDDR53pIO4Zs0axo0bd9wHXZGRkeTn5+P1en3bjn2QdbyOZ2ZmJm+//TYrVqxAo9Hw9NNPN1iO6OjoOgs5HPvdubm5dbad7CFaY8lDNCFEe1VdXY3RaCQkJISamhqeeeaZOukfffQRP//8M0888QT3338/8+fPrzPCsDEiIyMZMWIETz75JFVVVXi9Xg4ePMj69esBmDhxIq+//jr5+fmUl5ezZMmSOsf37duXzz//HJfLxfbt2/nqq698aQ31k4qKivj222+x2WwYjUasVquvfxIWFkZBQYGvX+R0Ovnkk0+orKzEYDDg5+fXYF+mqfz444/88ssveDweqqqqePLJJwkMDCQhIQGAqVOn8tprr1FQUEBBQQGvvfYaF154IdBwX00I0XjyWyNEK4iJieGFF17g5ZdfZvjw4YwZM4ZXXnnF11H8+9//ztatW0lPT2fx4sVMmzbNd2xAQAAPPvgg999/P6NHj8ZisdR5leTKK68kIyODa6+9lpSUFC655BK2bdsGQFFREbfeeiupqalMmjSJoUOHMnXqVN9xX331FUOGDOGxxx6jurqa+++/n6FDhzJ27FiCg4O57rrrGjyvu+++mz59+nDRRRcxdOhQnn76abxeLz179mThwoU8+uijDBs2jBUrVvDSSy9hNBqB2nngVqxYQVpaGp9++injxo1rdF1edNFFZGVlkZaWxty5cxt9nBBCtHV/fAB1us455xz279/PRx99hMvlwuVysW3btgZf92tsB3HgwIGYzWaWLl2Ky+Vi3bp1fP/990yaNAmo/zBq7969/O9//8PpdGI0GjGZTCftxF188cX885//ZP/+/Sil+PXXXyktLWXMmDHs37+fTz/9FLfbzeeff05WVhbnnHMO0HBH+mTCwsLIycmpE8AVQoj2YNq0acTGxjJq1CguuOACkpOTfWm5ubk88cQTLFiwAD8/PzIzMxkwYABPPPHEKX/PkdeqJ02axJAhQ7j11lt9D5QuueQSRo4cydSpU7nwwgs5//zz6xw7b948Dh48yNChQ1m0aBGZmZm+tIb6SV6vl3/961+MGjWKoUOHsmHDBh566CEAhg0bRq9evRg5ciTp6elA7XyfGRkZDB48mGXLlrFw4cJTPs9TVVFRwR133EFaWhrjxo3j4MGDLF26FJPJBMDMmTMZO3YsmZmZZGZmMmbMGGbOnAk03FcTQjSeRh07hl0I0SYtWrSIAwcOnHTUixBCiI7j22+/5bHHHqOqqoobb7yRp556ip9//hm9Xs/s2bOZMmWK73W2Z599loKCAp588kkA1qxZw4MPPsg333wD1AYYn3zySbZt24ZSisTERO655x6SkpKO+91Op5Mbb7yRbdu24fF46NGjB/fccw9paWmsW7eOu+66i9WrVwOwe/duHn74YXbu3ElUVBS333475513HgD79+/ntttuIycnh6FDh3Lrrbdy//33s2fPHgwGAykpKTzyyCMNvrru8Xh4+eWXee+99ygtLaVnz54sXryY6OhoNm7cyOOPP86BAwd8r8UfeQUzOzubO+64g6ysLIYMGULXrl0pKyvj6aef5tChQ5x77rm++gTq1GlpaSlz584lKyuL+Ph4Pvzwwyb4FxVCiM7peG2uEEI0Fwl0CtEOSKBTCCGEEEII0R5JoFMI0ZKklRFCnJILLrig3pxoUDup+ckWthBCCCGEEEK0Pddffz2bNm2qt33OnDn8+c9/boUSNY+XXnqJl19+ud721NRUli5d2mJ5CCGaj4zoFEIIIYTopNrKw6vO0sEWQgghhBDNSwKdQgghhBBCCCGEEEKIdk9WXRdCCCGEEEIIIYQQQrR7EugUQgghhBBCCCGEEEK0exLoFEIIIYQQQgghhBBCtHsS6BRCCCGEEEIIIYQQQrR7EugUQgghhBBCCCGEEEK0e/8fzwTIBkPyhfQAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1348.67x1296 with 12 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b07YY3oBHwCc"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}