ungdc_classification.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "FDS - Assignment 1 (Team C5)",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZQK9iy9LhPU5"
      },
      "source": [
        "**Import packages and set the global configuration**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1cQoZjmAfdGP"
      },
      "source": [
        "%%capture\n",
        "import pathlib as path\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import re\n",
        "import tarfile\n",
        "import nltk\n",
        "\n",
        "nltk.download('punkt')\n",
        "nltk.download('stopwords')\n",
        "nltk.download('vader_lexicon')\n",
        "\n",
        "# Make it easier to inspect dataframes\n",
        "pd.set_option('display.max_columns', None)\n",
        "pd.set_option('display.max_rows', None)\n",
        "pd.set_option('display.expand_frame_repr', False)\n"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HgxyleF0q-Mu"
      },
      "source": [
        "%%capture\n",
        "!pip install geopandas\n",
        "import geopandas as gpd\n",
        "\n",
        "!pip install wordcloud\n",
        "from wordcloud import WordCloud, ImageColorGenerator"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NjJyRSgEVz19"
      },
      "source": [
        "%%capture\n",
        "!pip install pyLDAvis==2.1.2"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k2gd_bfshYtS"
      },
      "source": [
        "**Download the dataset from the source and unzip it**\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sOXjInhG_fSM"
      },
      "source": [
        "%%capture\n",
        "!wget -O \"UNSD — Methodology.csv\" \"https://drive.google.com/uc?export=download&id=1_bq1smKQrJU34hqXQ256ToxtX97sgZum\"\n",
        "!wget -O \"DataPanelWHR2021C2.xls\" \"https://drive.google.com/uc?export=download&id=1jzIpkPG9YMM1FvSSEuskK1ESjknDjvtE\" # happiness dataset\n",
        "!wget -O \"un_dataset\" https://dataverse.harvard.edu/api/access/datafile/4590189 # UNGD corpus dataset\n",
        "!wget -O \"API_AG.LND.FRST.ZS_DS2_en_csv_v2_2917381.csv\" \"https://drive.google.com/uc?export=download&id=1RhyOBX8w-6YgjQT7LSCW5uKHc_zikI7N\" # forest dataset\n",
        "\n",
        "uncompressed_dataset = tarfile.open('un_dataset').extractall()"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n8zZsVpTqBrx"
      },
      "source": [
        "**Collect tuples that will be used to create the dataframe by traversing all unzipped folders. Metadata are extracted from file names and speeches are preprocessed.**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1sLOHbKDfj13"
      },
      "source": [
        "# Read all files as a list of speeches\n",
        "\n",
        "def clean_speech(speech: str) -> str:\n",
        "    \"\"\"\n",
        "    Remove unnecessary artifacts from the speech.\n",
        "    \"\"\"\n",
        "    cleaned_speech = speech\n",
        "    # Replace all kinds of brackets\n",
        "    # Remove text between square and curly brackets (inclusive). It contains mostly editorial notes.\n",
        "    cleaned_speech = re.sub(r'\\[.*?\\]', '', cleaned_speech, re.DOTALL)\n",
        "    cleaned_speech = re.sub(r'\\{.*?\\}', '', cleaned_speech, re.DOTALL)\n",
        "\n",
        "    # Sometimes a huge chunk of a speech can be included between regular brackets, therefore remove parts that are shorter than 150 characters.\n",
        "    # This number was determined by trial and error to minimize removed speech parts and maximize removed artifacts\n",
        "    cleaned_speech = re.sub(r'\\([^\\)]{,150}?\\)', '', cleaned_speech, re.DOTALL)\n",
        "\n",
        "    # Remove composite numbers, like 540-344\n",
        "    cleaned_speech = re.sub(r'\\d+[-/\\\\]+\\d+', '', cleaned_speech)\n",
        "\n",
        "    # Remove artifacts from file encodings other than UTF-8 (for example \\t from UTF-8-BOM)\n",
        "    cleaned_speech = re.sub(r'\\t', '', cleaned_speech)\n",
        "    \n",
        "    # Remove remaining artifacts\n",
        "    cleaned_speech = re.sub(r'[\";_=+:\\(\\)\\[\\]<>\\\\]', '', cleaned_speech)\n",
        "\n",
        "    # Remove repeated spaces\n",
        "    cleaned_speech = re.sub(r' {2,}', ' ', cleaned_speech)\n",
        "\n",
        "    return cleaned_speech\n",
        "\n",
        "all_speeches = []\n",
        "for file in path.Path('./TXT').glob('*/*.txt'):\n",
        "    # Remove .txt suffix from the filename\n",
        "    \n",
        "    file_name = file.name[:-4]\n",
        "\n",
        "    if file_name[0] == '.':\n",
        "      continue\n",
        "    # Extract country code, session number and year from filename.\n",
        "    # All names of files follow this pattern\n",
        "    country, session_number, year = file_name.split('_', maxsplit=3)\n",
        "    \n",
        "    # Read all speeches from a single session as a list\n",
        "    speech = ''\n",
        "    with open(file, 'r', encoding='utf-8-sig') as file_content:\n",
        "        speech = file_content.read().replace('\\n', '').strip()\n",
        "        \n",
        "    # Clean the speech\n",
        "    speech_cleaned = clean_speech(speech)\n",
        "    if speech_cleaned == '':\n",
        "      continue\n",
        "    # Combine all extracted data along the way into a tuple which will serve as a row in the DataFrame\n",
        "    all_speeches.append((country, session_number, year, speech_cleaned))\n",
        "\n",
        "# Create a DataFrame with speech data \n",
        "speech_df = pd.DataFrame(all_speeches, columns=['CountryCode','SessionNumber', 'Year', 'Speech'])"
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "X5kYUkIaOXC-"
      },
      "source": [
        "#### Merge UNGDC and UNSD-Methodology datasets"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Nw-PHJ8yj4d7"
      },
      "source": [
        "#RS\n",
        "df_speech = speech_df\n",
        "df_speech['Year'] = df_speech['Year'].astype(int)\n",
        "df_speech = df_speech.rename(columns={'CountryCode': 'Country Code', 'SessionNumber':'Session'})"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qS9-gq142Lqj"
      },
      "source": [
        "#RS & AK\n",
        "df_codes = pd.read_csv('UNSD — Methodology.csv') #Updated the errors manually on line 67, 126 and 127\n",
        "df_codes = df_codes[['ISO-alpha3 Code', 'Country or Area', 'Region Name','Sub-region Name','Developed / Developing Countries']]\n",
        "df_codes = df_codes.rename(columns = {'ISO-alpha3 Code': 'Country Code', 'Country or Area': 'Country'})   # useful for merging"
      ],
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xEW4mto52TBr"
      },
      "source": [
        "#RS & AK\n",
        "df_merged = pd.merge(df_codes, df_speech, on='Country Code')"
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RmgHiH82OLrH"
      },
      "source": [
        "#### Differences in the ISO of Original Speech Data and Merged Data (with UN Methodology file) - 'DDR', 'EU', 'POR', 'YDYE', 'YUG', 'CSK'"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LkNoEK754PWF",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "39ca795e-3339-470d-e06a-0cd8c43d9214"
      },
      "source": [
        "#RS\n",
        "\n",
        "a1=df_speech['Country Code'].unique().tolist()\n",
        "a2=df_merged['Country Code'].unique().tolist()\n",
        "new_list = list(set(a1).difference(a2))\n",
        "new_list"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['CSK', 'YDYE', 'POR', 'EU', 'YUG', 'DDR']"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ivk_xbcMHwFY"
      },
      "source": [
        "speech_df.replace(to_replace='POR', value='PRT', inplace=True)\n",
        "speech_df.replace(to_replace='DDR', value='DEU', inplace=True)"
      ],
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZSbyY0ZsO3lA"
      },
      "source": [
        "#### Plot number of sessions for each country in world map\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 470
        },
        "id": "sboStuC1y6R5",
        "outputId": "6931fcd0-5376-40ed-da56-aa3c58c07da6"
      },
      "source": [
        "#RS\n",
        "\n",
        "#df for separating total session counts per country\n",
        "df_tot_sessions = pd.DataFrame(df_merged.groupby('Country Code').count().sort_values(by=\"Session\")['Session'])\n",
        "df_tot_sessions.reset_index(inplace=True)\n",
        "\n",
        "#read geopandas data set for world map\n",
        "world = gpd.read_file(gpd.datasets.get_path(\"naturalearth_lowres\"))\n",
        "\n",
        "#merge world data from geopandas with total session counts per country\n",
        "df_tot_sessions1=world.merge(df_tot_sessions, how='left', left_on='iso_a3',right_on='Country Code')\n",
        "\n",
        "#drop na values\n",
        "df_tot_sessions1.dropna(inplace=True)\n",
        "\n",
        "#plot the world map\n",
        "df_tot_sessions1.plot(\"Session\", figsize=(13,8), cmap='Spectral', legend=True, legend_kwds={'label': \"UNGD Session Counts\",'orientation': \"horizontal\"})\n",
        "plt.axis('off')"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(-198.0, 198.00000000000006, -62.5540835, 90.17549349999999)"
            ]
          },
          "metadata": {},
          "execution_count": 32
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 936x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zWSyFUrgPR-h"
      },
      "source": [
        "#### Calculate word frequencies and show word cloud"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "npyBlgBdY7Il"
      },
      "source": [
        "#RS & SE\n",
        "\n",
        "#Most frequent words in all the speech texts all together removing also non-informative words\n",
        "#We can start categorizing topics from the rest of the words\n",
        "\n",
        "from nltk.probability import FreqDist\n",
        "from nltk import word_tokenize\n",
        "from nltk.corpus import stopwords\n",
        "\n",
        "def preprocess(words):\n",
        "    sw = stopwords.words(\"english\")\n",
        "\n",
        "    #example of list of non informative words (could be a column of non informative words (clustered))\n",
        "    newStopWords = ['united','nations', 'would', 'support', 'also', 'many', 'like', 'countries', 'must', 'us','new', 'one', 'see','way', \n",
        "                    'session', 'well', 'view','un','made','still','may','even','since','per','cent']\n",
        "    sw.extend(newStopWords) #append to sw like so\n",
        "\n",
        "    no_sw = []\n",
        "    for w in words:\n",
        "        if (w not in sw):\n",
        "            no_sw.append(w)\n",
        "    return no_sw\n",
        "\n",
        "text = \" \".join(df_merged[\"Speech\"].to_list())\n",
        "words = word_tokenize(text)\n",
        "words = [w.lower() for w in words if w.isalpha()]\n",
        "words = preprocess(words)\n",
        "\n",
        "freq = FreqDist(words)"
      ],
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "id": "huNTfUS6Nn1n",
        "outputId": "af24e177-2950-410f-f9de-5a0109b9cd67"
      },
      "source": [
        "#RS\n",
        "\n",
        "#Wordcloud of the most frequent words in the UNGD corpus\n",
        "wc = WordCloud(width=900, height=600, colormap=\"Blues\", background_color='white').generate(\" \".join(words))\n",
        "plt.figure(figsize=(15, 5))\n",
        "plt.imshow(wc)\n",
        "plt.axis('off')\n",
        "plt.show()"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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p6XrXWJJ/eX6C3/nn5/nxO7fyjgMbiKXk4986zq9/8mk29KS4dnMRKSX3PjvO7332RX7yDdt463UjRJHkL75xjP/j79RxV48VkFLyqYdO8YkHTvDL79jD668epNII+IN7XmSi3Fzx2iVQ89obqIGThOb6shaVZkjVi5TH1w7ZSUneNfDCGMsQHctKPYhKCcw1QgopA0MTDCT5n2bAgvCoqQuKKYNaK8IxNUx9+c1bCEHW1oliSdWLcE0Ny1D31jVVGA/US5qy1PitIKbuR1iGoNoKSVkKdNGXMSkn15RzDFKWhpQqP9Z+4VxTw7wCO113Lmw1R8eAqS2X+F3oEaj1Bk3Mh98g+T5BSyIFK6ENL0WEmPcopRQIIVfl6ErmvaT5pP+lzSGIYup+yNYeNwESvLIyD3CYBzMsTfxDGMc8fKrMY2fKhJFMQsSCyZpPeqnVcVGJYvVuVVshn3thcsmS5x2T+BLQzqVGQMrUE0/xwuspEORsY8FxHcBB8m8pJdP1gK8emeZMuYWlaziGRpiE0BffdkMTS87dfrbba2logu39ae49MsMjp8tsLrrMNgIOTtbY2pvqrGeYrFGlFa28RosevPb7aRsalWaYhPEv7blaVY7pqbMVMrbBYMaiyOqSWkIIbFPH0DXsi6D5ejMWP/fWnWzsU1j0992ykb+7/wTPnprjbdeNEEQxn3v8DNuHsvzonVvJOmoO//5NO/iX5yc64wRRzN/ef5Kdw1k+9PptpGx1eT/xhu18+anz3PPkWa7ZVMAPY/72vhPs3ZDnx+7cipvEc3/yrm185ZnzfPGpc+zdkKcVqPMe2NzD+1+zCdcykFLyk3dt58HD0yteT8rSSS3zwrQBBMutVdYxyC76bLljQYUK+5YpzOuMs4p8tbbCXHLu/CNhGRpWovjStr4AvNAWfZlxhGDBZ91jvqJymXqkvWG+HHKp47YvydLXFrZbSTShUHGqHOCVV07dstLZn5+o8ZXD09y8scCtmwq4poYE/vHZiQ4gZq0n0oSgP2PxozduWFYpu5eQD9c0lVtclaEg5kPAK0kYSz77wiTTdZ937R1gQ97B0AVTNZ+PPXxm2UEvdgeFEFw/muNMucWXD02Tc3RMXWPvYIbv2tLT+b1IrmcgY/GjN44uQVbC0jUSKCPUj+LOvnGpsqodI4wlfhjzctXXDhddhrtyCrap4Vg6rUB5HQ0v4sxsk50jOTL2/JQH8g69XTmvajPkpckaEvjtf3qu87kfxtS9kNMzDcJIUmkGnJiqY+iC//yPXccFMQ0v4vS0QslUmwHj5RZvuHoIJ4mZCiEY7XHJLRNbXZdXkwg0MQ9LXrzpakLlcuZFrjmv8nIrrTZUOO4KsQjmK8W0BVDptSsqx9DIOwbjVQ8vjDvP+KtJJHB8pomhC167uUDOUWUHfhhT88IVf9deo+XuvaEJ+jMm56stwkhSvEJsNoMZi0eDmKmaT94xLlvRV1oh5yotrhnOsqNfhVqllDSDmOgyCstrfsSZuRbv3DvA7gE1roKIz3ttqsTDYrJaI4zlqlB2EhVulRIsg0v2lmCVzA/DWTsJf7w8msk0Luzytc+9+BhdLCysjaWCpwoBTT/q/IliyZuuHebmbb0IQQfGKoRYeJyUvGX/MDdc1YtIxpPLnVdbewFZFEsqzegVZyqotaI1hL/UNc81QlpBTBhJqq2IUj1krhHS9OMl82/XQ9S9iLlGSKkeUm1FhJFc8diaF1FKjq21IhWW6DpWJsrEC2PKzfkxL0I0sFCEQrFFsYJ0h7GiS1FrIVUcnnZeSRIkCDsV0VzdvW0/AmEyvvI82nUlslNzI5N1Xa01rQk1ZhTPAx26LgtDU3mmdkgniCShXLreFxPb0Ng3lOVcxeOBk3PU/bDDHjLbCGgG87kO2TV+d7lABzzT/q77313TWXzcakWgFGgUSypeSLum5/mJGmcTSPRiaYe8pms+jSBecm4BXDOcJYwl/3JshnKSs4liSbkVcK7SuqS9bkd/moyt87WjM0zUFGtJLBVTSamxdpYSQxcYmqDqzb9PNT/ioVNza3qnF8tcM6DcCik3gw6s/lzFo+ZHC9Zo/7BK4Xzj2Czl1sXXSKCeqZxrXDYCe1UeU2/awjQ0pmo+G4uvPOeVYynU3tnZJn4Yd4p0K82QcmOe1iNtGwwXXPIpi//yA9etqOyyrslQ3mWo4PBffvC6FePrGcegkLY4k9QZtOGWpZpH/QLWWlu6H8RYkhT7aWt6QFfDzHCh4/1IYuqrzKon0qafakOZNaEQaQ0/JOtonTi2lGrjn2vMgzEAGn5Mw48ouAaW0cVMEUnmGhExsrPmNS+m4ccUUzqG3rbYJE0/ppzUgxmaoBVIBSpZZcipPW9Ln4d2C7FwGSy9rQDUd21UnILcs0Q/dUO62+cwdfV7JAsSvmGceDGov0M5X2jbRux1i4J7q1GNBHzRXn9Tm/9/IdT3ysCiw6hiXIJxKoTg5o15puo+/3JslifOVkibOmGsNsD3XD3AzgFVI3h6rsWh6TqtIOb4TIO6H/GlQ9NkbZ2ia3JgNIepC/xI8sTZSmfzi2LJc+NVqn6IY+jsHkivGlXZlquHMzx1vsInnjrPWN6h7kc0g5jt/Wlm6ktpfSxdsH80y5cPTfNnj5wm75gEUczbd/UzkncQQrCp4PLWnf189cg0L802ydoGsVTF6wMZiw8cGEFbo8XfmzK5e/cA97w4yZ89fIaCa6AJQSOI2FhweM++oTWBSrK2wTXDOR46OcfHHz9L2tKZrPkMZe0OpHutIqUkbenkHIOvHJ5eUJZSdE3evqufXQNptUZFlzfv7OPeIzMcm2ksWKPBrMUPXrd0jbwEmOKaOs5lOKKrurqJqkepGayp2K5tHYexJE4sySCKMSOFBlkLhZBjaty5d5D/+oVDfPXZce7cO0gQxvzDI6eYq/ud41xL5903jfF7n3mBTz98ijdfO4xt6rT8iMPnq2wdzDCYd0hZOu++aQN/dM9B/umR07zxmmEsQ6PpRxw+X2H7UJb+nEPaNrhj9wB/c/8J7j84xU3bemkFEZ966DS11oUVU9tSblv6bbiyWhsFjgiTDTHrKIh4tRUpq11TqDFTF6QtDT+SNLyYGLWxZR0dpGKJaG9QmoCcq4OUeKGk4UdoQiwopF2LeKEk5+ikbK1Tb1OqhzR8VaeknkflUUVS0pM2OoopimG2rhKnvRmjE1aptCIQ6gVub+JBpAqGq12FxZFUxYeGpsAcuqZ+X/ciqi3JaiNOQgh0MQ+7Xk5WGmuxUSMEHfhv9/iGWI7VQSyDBOwae0nV/OKxxZJ56QuOX+m8axfb0HjX3gH2j2Q5Ptuk7kfYusZwzl5ghDaCiEryzG8qumwqqs/rfoRAdKG5JOVmQCOIMHXBjWN5QBk7XhjTDGKmKy2Gshb7R3KdIs2d/elOHsPUBAdG5wlOx/IOH7x+lOcnajSCKKlty9AIIo5MNZaEMIUQ3LqxQG/K4visMirzjrGAiUDTBDdtzLO5x+XwVJ3ZRpCE+Cyu6k1dEhhECMG+oQzDWZvD03Vm6qoYveia7OhPd5RSwTW5aSy/RLlkbZ3rN+TpS/KzQgju2t7LaM7m1FwLXYN9w1m29aZ47EyZwa4881DW5voNuSUw7b60yY1juU55yWTd55NPj7OjL831+4cTY5uOofG1ozNs6XFxTAUbv2VTgS09KQ5P1yl1rdG2FdZI1wWtICbnXF4YU1zEGpcd+hCWh8WuJI8dm+FTD52i0gx47PgsDS/ktp395FyT1+zs5z03jeGHMT/1Z49QbgZ86udf2xl7tubx3j/6Nq/bM8h/+p59nc/+4yee4uGjM4wUXaSE3aM5njtd5vbdA/z6e64GoOmH/PFXjvD3D53C1ASWqdP0Q3Qh+OiP3cD+zaoYr+GFfPTLh/mHh09hGhqWoY4zNI0/+Xc3cvWYKswbn2vyS3/9JM+dKTNadAljyXWbitx3aIrvv20TP/3mHSstHM0g7mzwzUB5Bv0Zg7ofE8eStK0+DyNJ1tGZrYfkXJ1KMyLv6lRbMcW0viD8M9eIyDgKlTRTC8k6OpYhKDcjUpaCpM82QnKOjiYEM/WQgqtfFIDSllhKpqoBAujLmB0DQkqotkLqXkxf1sTUBWEkmaoFuKamlGWXVFsRTT+mN2NgGRp+GDNTC0k72gIklQTKDYU+7Mua6AJagaTUCMm7OilrHk4bxWpuuiboy1x+DP9KipSScq1JxrUxjFdHrqZDiSPmuRQXI98uJqoYWJU7dEvdC4mimFYQkU9ZHcOu2gywDI18UnfW8CLChFmgkLY4N9vgL752hA+9cSeFtNUBKK3Lyy9SSu57qcS3Xirx07dtJO+aC/KZXzk8zVPnKvzUrRsviYNSSoXyzVj6gnzVBWTFAy569rbVuVbJpyyu3lgACbft6F/w3VBeeV66Jvih27fgh3FCXeTjhTE9aZNfePsuRrostmLa4g9/6ACPH5/l/FyTkWKK67f28OjRGbJdiTnH1Pm5t+7knTds4IUzZeqtkHzKZNdojk198wy0rqXzi2/fxXffqI47N9diKO+wf3Oxc1ylGRJE8Ec/fD3PnCoxVfHY0OOyZTDLnVcPLpjfcuKHEtsQnXqfph93Pm97TXGS25AoK04X6vhua0SS1EZJFuQpNE0h9DRN1Q202QAEolOQd6kwYF1byB6x3IPWzqk0fGUJd0t7jm2HrQ1vrbdi6t7SYxPUPAg6id3Fm6hYlFP8Tkip0uCx509y1y27FszNDyI+9un7+f633MDYcPFlnYNiWI+QqOJs5bUoNGjNU3mCjK1ADUEUM5J3QML5qsfGgkMriGiFMbahJeS58+wh7bqgTGI0TdY8pGQJ68tff+MoJyZrnRrEn3rrLu59+hyHz5U5MVnjP7x9D1nX5Lc/9RQ7R/O4lsH7XrOZbz4/wYOHJhksuNy+Z5A9Y1d2raSUjFd9hrJLC+VfDRKEEdPlJkM96WXnV234hFFMIWO/LPPXNBVFqXmR8tgSo6XUDDk206DgmjiX4YrXvZCWH5F1jcsqsr2oYpKogiw/ahdtLpz0SkzX24YybBtamcNOSkXhcsfugc5n+ZTByekWVl7jnddvWJIszTgmd+wZXDDOHXsGlsxD1wTbBjNsG1x6/u7jDF1j+1CW7UNZzs95ZBxjgeWfcXRK9YCUbfCGq4eS+SjkyRv3DS2b/1m8kbaT4d2ZYIFSKG0vRnT9WXAQ6vflZoSTHL9c0lN0/qt29qUVDmuX1bwT7bOkLA1nBY9scf1S2tZWhJJ2Hq0LTP9C05JS4vkhh05MYFsGrm1RyLmYus7ZyTmuGutDCMHBlybYNNKDa5u0vIDDJycRQrBj0wB2UjpQrrU4fnpKxdpHeijmUkzP1fn8N5/lviePkXZtBnuzbN3QRxBGPHvkLK89sI2ewrzxE0vJ2YkS49MVRgeKDPfnkFLy0tlZMimLU+dL9ORTbBntRVsD/c9MI+D0XJOhrEMQx5wqNZEIRnM2z0/UKLomwzmbuWZAK4wZyNhIJCdnm2wsOBycrKNpykDqSZkdnsPBrMWLEzViCVcPZzk+XUfXtWXzGXUv5M59w9y+Z4hf+vgjVJsBt+0aYENvii8/dZYXz8xx47Y+gjDmf3vzLkxdQwh447UjPHFsmg+9cecFEZCxlEzXfRXidRXzTLUV0ps2VfuVZkBfymI2yWXlHYOia3Ky1OTrR2e4fWsPAxmLvGMw11Lgg/60hWNqzDYCwlhiJXPq7eKRe7nl2Lk5/u+/eYC/+JW3oy+pr5N8+psH8YOIn3jH/it+biEEu/rTPHq6zCeeOs/WXhfbUMWyZ+ZaxBLes2/wsmoOh3L2GnhnVpaL+2tS8sipOaSE0YLDpkVeQqWpkFWRlDimRn/Wou5FzCZJyf6scvMnKz5+qPjgejMWE2VF6hpGkr6sRcqa53pTp5V4QcxU1UdK6MmYC4o229LwY4WqiVW8vC9rMlsPqLcidF0oxux6oJBLkSpkTdk6MzWfoby9ALVWqgeU6gFZR6eYNhNm3vnzxRImyh5hLNnY63bCddNVHyQU0ybZrpod29CoezGGLhfwhTmW8p5MQ3aS14sf0sX3QBMKmRReBI1jJHxvTYlPyG8AACAASURBVD9G08RloXcuJm1rG8A2LhwiaucPhBAXPLbNOA3Kc+oGO0ipjKSVvKZYSv7of32NU+dnGezN8fWHD/M7P/dOegtp/uAv7+WPf/37sS2D3/jvn+M//4d3sGmkh9/6ky8QRTGeH9BfzPKr/+5NNL2AX/nDf2KoL0cQRdy2fytvv/1qzk3O8cSLpzk9XuLxF05x9bYRtm7oI4piDr00yV/+84P8t197H7u3KiPmvseP8mf/+ADbN/Zz9NQUP/uDd7LnqmE+8sf3YJsGG4d7ePS5k/zah97Mrfu3rnrdG0FEwTUZyFhM1nxyjkEYKRRjj2sykLXwwpi8Y5KRip8xlspIaDNXjBUcjs2oovcwkjQTL8rQBJt7Uli6wNA1+tNWFwPD4nsFbWOoXA/4f7/4AndcPUwrQcICFDM2pjGPYhViHs3HEsNu/v2frPl8+eA0V/WlqHsRm3tcvnRomu+9dohTpSZHphvcvDHPPS9Msa0vRbkZUHAMqgkjv1Jokqm6z5cPTTNWcLn/pRK3X9XDVw5NY2iCnGPQ8CO+d/8wzkXQI3EseezQeYZ7Mxw6PcvVW/qpNjxOTVa4adcIGddESjgxXubo2RJhFLN5KM/OsR50XVPGy/EpPnPfYQ6enOGz9x9BE4K9W/q5aqRApeHz1NEJ/vnbhxnqTfPZ+48ghOCO/RvJp22klLT8iGeOTTJdaTDWn2P3pr4ObVup2uLQ6Rn2bR3gmWOTlKotrhotsH3DQj67npTJB68f5bnxKmcrHs0gwDV1Xrulhx39KXrcS1fSF2K6WKusKpDYCmP6M9aybS/8ZOMbKdicmmmRdWImKz4DOYsgkkxW/GSzlowWbc6VPBpeRN2LGCk6SCmZqvhs6lsKrJgo++RTqlfPRNln68DS0FkUS1p+zFivgyYEXhgzVw8ZLdrM1APKzZCWH5N2dDIZgzOzLewuclIFt1VhspSlk08ZnJ5pkXNNFqcKNKGKgc+WFExVApNlj76shWMu5AVTGzDEUuAFMZauddBWjiEQaIo1XAhcQySoMEVhZCcviWOqf2cdnVYg0RLgQzvMphgl1PmsLhqQvKsrmGwsyTrassVxV0L0JJTYCpTB0Z3wV5vPPLmomVAkNf0YxxQLEveLj23T7TT9OAkrqHXzwljx160wn8mZKo8+d5L/8ZvvJ59xeergmQv6js8cPsu5iTn+8JffSxBE/Miv/y8+OHULrm0yWaryQ++8mQN7xrBNlc+6ducG3vKaPaQci595/x3zzBaOxXvuupZ7HzrYGTsII/76nkf4ie95La+5biv3PniQj3/2If6vn30nYRjzgbsP8KbbdvOxT9/PA0+/tCbFNJSxOTrT4MRsgw0Fh/JsgCZU0bUmhELWGRLX0Dk+06DqRbTCCCEEU3WfnpSJbSil05MyOT7bIG3p9KUtWkFM1QvpSytvo+aFyxZza0Lw+cdO88iRKbYP58gnhtzJyRpeGCseSyFwFqFAsq5JzjX5fz73PG+7fozdG/IEcUKLk9A3CaEIgW1DhRZ39qfJ2jqDWYvjMw0OT9XZP5rDMTXSlkbNC9nWpwhTt/a49KUtrhtVnZAfeKlEGElMTbGPz9R9BjIWvWmLgmPwwkSdIIovGr6KYsnv/u2DFLMO4zN1YinZOJjjhRPTvPf2Xfzse2/g6LkSH/7jr9GTcYil5LmXpvnVH7iV9925i6YXcu/jJ3j04HlKtRbffkZRnBUyDleNFDg3XeUrj77E8fNzNLyAbz1zGl0T3LBziHzaptLw+dU//RdOTVYYLKY5fm6Ot996Fb/wvTdh6IJj50r80p98nddcvYFTkxXCKOaGncN8+PtuWhD+EEJQTJl8V0J8+2qVVSmm7X1p1V10GVFhKbX56ZpIOo7GlBKPyTE1wki5zbomMJPePpoQWLogTpiYlxMvijt9g1xr5QdH0e+0qXPUBjZdC5L+JBqICLurVqr7bB2LTahNVlkgIJdxSBX/lFyQMIxidf7loOlCiGUZINScxZLwV5tZYfHfliGwlrlTmS4mhu71MXTIrUBHdCVFCEHOVQS0pXqongPRJilVifZCql2YrHpHzTVDZmvq2Da3XxBLHEN0wqi6pq691lL1Tm1LP4jkBZFo5WoT1zZJuza2ZTDQs5TAE+ZBAWcn5jh8cpLf/OjnAMFwf55YSvqKGT78I3fxN/c8wv/85wf52R98HdfsGF2TJRnHksnZKmNDBYRQY5cqDfwgwnVMRgbyCCFIuxaz5Ys33esWy9DY0xWm3jUw//+pwsL7fvWwWoMcRqf3VVvaqLtrhnOdz3b0z4cit/Wt3BVUE4LvvmUT+zYWyCXgh9/8vuto+iEp28DQFQ3V//6uqxe8RY5p8CvvuYZaKyDnKoUnaEPqZSc3mjI13rq7j9NzLb5yaJr37R9i31CWrx6extQ1hrM2mgZv3tnP+YrHlw5O8/7rhhECYhQhgKlruJbi4+vPWLxpZx8Zy+Bs2esggxNw6aokiiW37h3llj2jvPvX/4Hf/vE7OHxmli89fIwwitkylOfjv3o3meS6fvdvH+TT3zzI++7cRS5t88vvv4Vi1uEz9x3m93/qTvSu8O3uTX38pw++lhPny9yyd4Sfeff1XZECyWfuO8zx83P81a+9g2LW4fHD43zo97/I22/Zxp7NfQCcnqywa1Mvv/nB16IlRKyrqbd88sXTDPfnGOrLr3hMHMc89txJrt011gl3d8vB4+MUcimG+nLL/HrtsirFdHymwVTd78Sru0UC5WbQKVy1DY2CayASC1ltVoLJiqIOafoxxbRJJCXTNb/jqUipGB6CMKbuRaRtnWJK1R/YprbqJL5taKRtvbPpO6ZGuQGztQDHUhDW9kY3W1MeVSrZ4EuNED+UCeuzKr71Q8UGYepK8daT/iV1L8Q1dVK2zkTZx7U0bHN52p5/bWIkIIzFogkFo44T9E06aW/RkzYTBGKsWLNRYaNuZSmEwDSUMo1i1TQxkArAYRuLlbQgbSvF1UqQjYYuyLuqIWK4Qmgpn3VpegG1hoeha0zNVgEwDZ1G0yeKYyr1FtOlGgCjgwV2bhnk937h3di2QRTFOLYC0txyzRZu3LuJf/7aU/zlZx7i93/x3RiGjq5rhNHF66l0TWO4P8/J87NsHO7h7OQcxWwKy9QTA6f920vzZluBAjwgVOi2O29X90K8MKb4MuZOerM2PRmb/vx8FCPrmguASAC5RUSoQkDKNjpovHauWdNAdlHqTNV87j8xhwC29aXQE5iyH0m297uYuupu/M1jJYAOfFnXdAbSFv/wzASv2VJkZ3+ayZrPk2cqZB2d60ZzZG2DlKmpYlDHWBAabqMXdU0s2dQNTWO0L0suZTPcm6G/kGKiVMcLIyQq//zcS1M89MI5ynWPZ49PEiRMCJdzG2IJDz5/lslSg4/85X0ANL2AyVKdM1OVjmLKpW3eeP0WUqsoIGrnY0+Pl3jgqWN814Ft2JbJdKnK6GARxzaZnK5QrjUZG+qh6flMzFQAFV6fnK0yV20y0p/H0DVOjc+Sy6gIWKXeYmK6wsiA4hut1Fo0PZ+xoZ5lldpysrp+TEmjOHMZ5SBQTd9MXTBaVFxOg3mbuqdYwm1DWU5DeRsvjBktOpiGSAhC1UuatvVOdfxg3k7qniS9WZOGp+LVK9GluJaGZczfCF2DkaJNw1N1PG0PKJ3QuRfTJoYm2FBU6KShgt3ZhCMpCcKYQspJqu8lPRk1diwlIilyHMjZKtdjwmDOou5HxF0Fpv+aRQA96aWPRSuIaIYROddAE8pY2TWQwdAEjSAkklBMGdQTBo2coxBidT+m4JjK+22pRPVY3iGTxPe7oePdxX4CRSCbWuQpqzVe3m0a6M1y877N/MZ//xwDvVnOTpYBGBko4DoWv/ZfP4tp6PiBqse5ducGNo/08psf/RyFXIq0Y/EzP/g65qpNfv8vvkoh63JmYo7brtuKpqnC6B2bB/nYp+/n//yTL/Ka67Zy1627OHF2hi/e9zyHT0zwyS89rj6/ZRc//M6b+dO/v4+vPXSI42em+bkP3Imh6/O0QkkFbjeI5mKKRErJVM3n2TNlRgouuoCejEXGNjhTatKXsWn6EY+eLHH3NUOMlxXtzmDO5ly5RRxL8q5JJmnm2DYsNxTdNTXHe/93bb2szbZzPcyjUgXzqMvhnM179imgU9uzLrdCbEN0CkD70hbvTo6JpKTqhaRMnddsKTJT9xkrOJwtN7lxLNdpxplzDG7dnKfhx6QtneGs2tuCKKYZqDrCqhdiaoKCa3aaEIKaoK6pKmtNE/Ncdwm26U8/9xSf+saL/MTd13HznhE0IXj88PkrsEhqX9o2WuSu6zd3Pn7HbdvZt3UePKZrGs4qN36AT3zhUcIw4umDZ7h2xyj/8x/vZ7g/z1cfeJE7b97Jp7/8BHuuGiaXcfH8kHsfOsjrbtpJsxXwP/7uW1yzcxRD1+grZnjgyWP0FTIUc2n+9JPfYnSgwFSpxubRXh58+jhjQ0U2DvXwjjuvWZWxtKqrSJm6SrZml6eBNw1Bvos7TggWgABAsTe0482xlInlpC94GfLL8M9lLoKnN3VtQTGiEMojyqcWWuuLvRnbFMvX9nRtlMu1Bi6kl/7mcloIrySdCKNo07msDirdbm8cRMoS7TCYr1KWO1ZKSSOIOFdp4Roa2/rSnXxjM4h4aVa1TmgFEYemaiBhe3+aihcyVfPYVEwxUfXIOkanAWDBNZmq+aoH0ArzW6u1rwnBz//w6zl6cgrbMjqeUcox+aNffi/Hz8wQaDo/8K7bGBtW1tt//NCbOX56mpYfMNSXw7FMegsaP/m+76JSb1HMumwa6QWhOMYG+wv84S9/D0fOzrJnUx+xhEza4Ya9m7hh7yZiCfmMgwRu3LeZsaEezk9XGO3PM9SfI4hi3vee29k40ksjiBnesoE7btjObDMg7xhK5cp5eH6nXXgQY+iqkPX+ozO4pt5Bp7VzdAfP1wjjCnftGVBoq2bI4yfnsA2N2brP02fKWIZGb9pi11CGZ89WmKqqAvVbtvawYzBNK1B5PENbGmpesNZXKG/ZVtBtcEbn80VlKnUv5IETJQ5smC9MbR/TASHVfAxdMJS1k5YvJM04236p5Fy5haFpuKZGJaHZSVuK8mOq5ifvjI4GnK94bO5ZHdNNGEu+8uhx3vWaHXzgTXsJo5gvPHhsCQWVaWh4QYQfxDjWPCBI/Q2GoVFvBQrNi+wo6+u2D3LPg0d5w4FNZFMKZRlFEuMyoN3HT0/z4R+9C4CJmSqPPHeCG/duJopjHn/+FLffsJ3bb1CNjqIoZqg3h5QqpzrYl+P0eImbrtlCPuOyY/MgUkpmy3UMXeP7334jf/AXX2F6rsYdN2xn77YRPvP1p1c9t1XtqCdKigpINQ1cqJyKKzBgX0gEKO/qFapJGcxbF0a9vQollpLzFY/RvM35isdLs01u21xY1WZdbYWUmxG2IRgtrI3+ZTmRKPaPgmNS88NODqndiTVrK8Ol6oXYhsaGvIOla5SbgWqbnoS+Mpay0vszNken65fUtvtCopLtJldvHwHm268LIchnXVK9ReZaIRgaB2eahJHqn2NaLk46QymG+kwDCaSLOVq2S0/B4ehsE4niX0xZOoO5NMPCIJVxeG68xljB5qZ9mwF46lwFxzF4abbJXDNA1zREPs90pOGVWrSCCDOb4VjJY2uvTl8xw2BfmmfHa+zqT3N8tk7GMhgrOJ2Nea4RMtdU3kJ/VgEcmoFi/Sg1App+RKUZUvdV7m683OJsqUVtJERKlXM1dJX/3Vh0iSU8f65KJFVbFlWwbCFR4exmEJN1dBxzbf2ILue+LdnBF0nOMbh7z8CK31dagerjhOofVG2FhJFqvOklaMOcaTLXDDogKctQwIm5VkDeMZFSkk1IYnO2Sanprxr6bGiCm3aP8Jn7D2MYGpOlOgdPzyx5X6+9apA//OQj/Maff5OBYprX7d/ITbvV86rrGrfuGeHPv/AMURRjGjo/+tZr6C+k+N7X7eLbz5zmR37381xz1QD1lk+l7vMH//715FKX9o5n0jZHTkxy8vwsm0Z62XPVMN/z5gPomsaJczO8eOw8W8f6KWQVArnlhdQaLQwjxZtu280TL5ziW48e5j1vPECz6VNreDi2QdMLOHpqCs+PyKYdbMtQQdo1AIT1j3zkIxf6/iOgErkTVZ+dA+lOy9+2LIZUr0aEEAmy7JVRFq/kuS4kk1WPh0+VKTUDMrbBE2fKHJ5UCB/X1Hn0VJlTcy360hZPninzpYPTRLHitnrybIWZepCg7zQeOTnHubI69uh0g1NzTU6VWgznnPm8TAKJvRLXrgnVuK3oWh3+L4C0ZWDqGo6pd+hNvDAm56gWIaauUXRNVfzpR+Qdk6ylM1H12NyTWpAAvtJi6Bo7Ng2Sz7pEEsarPmlbZ7ruY2qqdYJtKMWZStzuqh+xuegqxg7bwDF0zlRaeGFMf9pSPadMnem6UjqmrtGXtjrIx3MVj10DaU7PtYhj9axnbYNyK0QINb4mFE0NAuaaIQMZm9mGT8rSKTVCNve4C5o8Vr0oQb8KCq7Blv4Um3vTDOZsNhRdxoouo0WXrf0pdg5lybkmO4YyFFImm3pTbO5N0QgUjLoVxNy6rYcNPS47BjJsH8yyoeiSc9WGrKiyZCdXezmiiHgTxokVwtyS+ULtS9lL2pK2DPKO2SkQLaaspNOzgWPqpC3VFy3rmOQcg7RlkHOS3yQ5mVYYE8aS4ZyrjrXNDlJUgbx09m7poyfrkHFNrrlqANcyGCim2bWxlxt2DtFXSFFp+OzfNsgH37yPoZ40ezb3de7lQDHFjbuGqTYDHEtn75Z+enPKKxNCsGdzHxsHc1QaPn15l31b+7Etg5Rj8sYbttCT5FGHejK887ZtbBrMd3KWxazDgR2DmKtkHtk00sNTh86wfeMAB/aMMTJQ4PHnTpJyLfbvGqNca/LisXE2DBU4eHychudTrrUY6s/x+HMniSLJnTfvYny6wqnxWWoNj43DPWrcF09z16272TBYoK+QoZBPkXItRgYWGNe/tdLcVkVJ9Oz5GrMNn009LlsWtcB+paTNYB3GKumcsfWO6y+lpOErVvG1hq4uJvPrs5AJ4VKk1FCsvA+fmOPO7b188cUp3nvtEPcemmas6JIydXRNhYx29Ke57/gsd+8dZLzqce+had6yu58HXirRkzI7zc4297icLLXYMZBmY8Eh5xgJTH7eY3o1KOW2SCkTZmLYkBBqvlLnnW0E1IOIjKVyYZY+z7ARxDLpJ6NTboVkbb3DjHC+4uEYiry23FKgl1IjYCBjUWqGyQanDLaZhk+Pa9IIFEN3I4hoBTGbiw7VpDuzlhTz5B2DybpPf9pipqHqkeKEqXww8YzaYapSIyRlJcCiS1izWKqyCE2IFWmJYikZL/sdj2ml0P1qJYol58oepqYxlF9+rHYYL4oVmvRCimm27jNe8RjJOxSucNuZ9jxgvmxhXV52WXGRVxXKK7cCRvMOJ2ab9KetBT2RViPzkOyljay6cykX+n2lFeGFsYJIL4NyiaREfxk65MRSWZGKaPXSx5dS8vDJOXKOQSRVGGw4ZyuiSgGzjYCtYyk0AWfPVDB1rdOOXQBjRZf+tEUUq4r4vrTF1t4UowWHM2WPsYJD3jXXxET+nZJOCO8VfPmFEPSmLXqTf/dcYGNbzBPWXVTejhi0e/gsfhd6ExRaOoEpt4IoqWnTVNv5RdLOT67ETaZqejTcFTb21YomBPYrzOEXRJIglBjWhZ9JKVcm0+2Wuh9xvuxRdM0rrpgulXrt37K082ATFY8jU3VmGgEbiy4HNuQQQtAKIiKpoP9rVfSr0jDDOZvxikd/2rokJoGZesCpUpPrxpbi5Bu+IvDML2MJzvd4US0j0pYqqFv8Pag8x2K50CbdXSOw3Hftz/1Q4gWSjN2ubVr4+7WInyB//FD1gmpb64Ym2Nmf4rHTCh67ezCLa2rU/Ygnz1boTVmdl0bXBLsHMxydrmPpmqoPExen6oH5EG8HqPwyK4bl11/QqRKTyd8rzGNBj6auX3dGWsX8F4+x1t9frrTRpCvP4+Ke+KXO80rc90sdQ8qkTckqzhHGyltp1zCty78OiaTkqwen+Ienxyk1FWDjrh29XLchhwAePDHHl1+c4hfv3MJAdm15sFUpptmGoq3QkqrhxXJoska5GarmUhtynK94HJuqs70/zVDO5oXxaofJ9rnzVaotVTS5azDD55+fpNIMuWVLgauHs0se+HJTeUp+KAnjKKH4EfSkVTsFL5SUmyohn7a1JQqq1AhxTI0glLSSjmuFlIFtiIQMM6bpR0n3UkHKVsovlirp7IWyw2oNihduMZP2akQIwZt29lHxQm7cmMc1VSW7AN62Z4CUqTOUU2iugquu7e69AwSRytf0Z1TM/C27+0mbOqN5hzBWrOR3bu9dgTBR5XyaQUzNizpkubomOozgi8M67bBoECn4eze7d7eEkerLAgqKbyQFfQ1f9XJqM6eXGyExkoytk3dV3qncDKkncP6sq5NdRDWlWqYoxF8ziAlCSSRVqE1P0GIqlLs8sWzNU3mcjK16C1VbapwoVmhQS1e/d621N3xcjcTJHEDxLQqSe5B4/RJFQWWbGnlXXwLTjmNVJ7ZYr+sanV5YFxIpVS+tWiuiGUQdGivL0JY0cNOEmuNy69AOn9f9edouU1esDBlHX9JtoH3fgkg9P+0Os6oP19I2MW7Chm8mCmldKf3rESklT5+t8InHz7Gp1+UdVw/ypRcnFxwzmrc5M9fi8FT95VFMUoLQFnoM3fLoyTm29aUZr6qK6ufOV7j9ql6+fniG9+4foj9jcWy6wbWjOb55ZJpbt/RwZLLOQMZiOGczmLXYukKVedbRyUiVbE5Z8y0T2g+xbQj6MialRki8TN1lFKsWDClLp5BSMfy2p+KHatMqpgwMXb1A7RdNE0qB1b2IRhDTm04SoatZsBXEMfUF9VjtDSmbhIMWK/3u8E77Z8sdm7GXBxAo1FZIuRkq9vJk8kGkrNm6FzGQs7AWbfDVVkjdVx5qylo+hBREMTM1paxtQxVAS1Q76LalrLp2qnDobBiq/lCRVEAAVE7Dq8Wdmra2hLHKdbTprgTzUT8/UjmXaiuiP2suySmGsWS2HnTg1m2exPa1K+9bUWIVUgbF1JVvnxEl+Swp1eZbS7r7xnL++QmQeFG8rJHTNooW99KyDFXzd0HvGHV/p6qKwFU1J1S/aPhRR2GCmotpCFK2vpRQVcJ0LaDmRZ31b4/dbgQ5kLPQmX9ngkjllOJ4IQDLj+SyDf36hImp652W9lKusp+lUEbLbD2gFUTomiDvmuSTxnwLLiPx3EpJR15dE2Qdg7xrLlCsUSw5O9dSVE0Zi3IzYC55b7KOQTFlLosijmW7e3OAHym2iUJK1YmtxeiJYtlR/hJFMeYlxf5tbknVXVj9UdRdioas/V0Yq3sQS1UgbOmiwz/aCmJ0TRXHh5Him7T1tfXFW3jd8M2jMwzlbH7xdVspuAYPvFRacExPyiJt65ydW77T8IVkVYppW58CPCwXIwdlgY4VXQxdcK7cwtI1NvW4PHxSUE8gtu17lLUNtvalmK2rJGvK1IlZPg7ZjvvGibWsJWi+xaIhL/iyGpogYy9j+Sf/VAlpDcdUdlv7MF2ocypL/cKJ2SstMnngU5be1RNJ5dpyzsWtZlDhTy+IcUyNvGuoOhipNqhyM8SPJKV6wEDOuqLWaixVj6WCq5ir5xIPqdRQUN3+jImpa8zWg44n0a1gFHWVhq4puG+7dUgsVaFvKdm0Z+sBw3l72c0simGq6iOEKhh2Ey7DtvXeStq2u5aeEHhK5prhspvb8tcoqbbCC6IeJVBpqgZ7rqnNe5YooyhIGPsXi67BYM4kiklac0c0/FX2lZeql1UrjLF0kZAozxti0zUfL1SEy8WUkbB8LB2mnhTfZh2dTDLvSEpqrYhK4oFWmmGnuaOad1dERULFU0wqli7IuUu3GsfUOgZKFNOZ58Wk2go5OdNMgFDqnkqabOxx2dzrdu6flJLJqs/RqTphJDvPfxjF9GYstg+kOwW0UkrGKx66UOOfT/6/3ey0P2OzYzC9gGEjiiWnZpucLjUBtc+EsYQZlRPe1OOueuOPJTSCGFvX8KMYP1TkAI0gxtB0dE3SDBTdm21oxFJS8WKytt7h4PTCGIFibfFCxa6SczRAdRaOklo4XSh+yyASZJfbF1chUipFvmcoS36ZewvKuzY00YlUrUVWpZhemm2yezCTxJuXXkQriHj4ZIlqK+S1V/Xw6Mk5vnF0BimVNf3c+Spn51qMV7wO9LK9FoWUySMnS/RnrCU9X66UrMTIoF4YnWorSrwqtXloVwCBByywcCwjeSBCZbmYusBPwoRWwoThhTGxBMfQiBJqlPY4fsKO3vIjsnY7qa7WN4xUjD6WckFRZCwVSnEwZy1AGtmG2hznGsq7CZP5XUkxkrUVQMHVEwYPSCet2YFOA0U/WkjbIoD+jJkwQCSfdc1dCMF0Lehs7rq2fGhVSsVun+4KR1q6xNRNzpV9olh1+nUMVePz1UPTvGvfYKfGenFepfvfUSx5caLGTZsKHQTP4rdDSig3Qwopg0LKSJ57dYRrSlbqrSuEWJCb8kNJg9W93GFyTaCYOLqZ3G1DvW8TFb8Tql2J7SGW6v70ZszOvKWU2BktOUdM3Y9UHVRy0ZpQv2lLM4zwEzqp3AXC37oQyDVEI86VPUbyNqMFB0PXqHshh8brnJ5t0p+xyDrzIeNDEzUcQ2P3UIa0rScGi8dLM03EZJ3dw9kFirncVCHHfSNZXEsniGJOzjQZr3ikbZ3Nve4CRXZipsFA1mZjj9tpiHl8usGJmYYK1+dW3xdKAK4lIBBEMaRMQRgpg0BIpUwy/x977x1lO+0L7AAAIABJREFU2XWdd/7OTS+Heq9yVVdXd3VAR3QjRxIESMIkwWBaHEoWRTlrybKkGS/LHsu2bGkka/7QWDO2bNmWNfJYlG0q2SJFURQjwACCAIjYADqn6srh5XDTmT/Ovbfeq3pVXdUBpDyz1yLY9d59N5579j57f/v74jrqFRfIth80EKtnmOriyxRUWl7XmNSEIB1sY+iKi9Lf7iq1x8mauobrb065VLe9QM125wQE2/qFrglevlZhvIfsBSjRvX39KQYyFkOZGEOZGIs1m/t25zE1wZ5ikom+BJYueP+RQdIxg3t39wX5ZY14j9z322FCKOnyhKnRdlV6yPVlEAXe/ETt+pLVhkPKMpASSi034ttLWjordYd80mClriL1SqBCqwaToBl0rUspKdVV34MXRNBhg6tnEUGf1+scCQhWAOtrMSp1Vm6sNcve6lZKq0PqwAjoW0LC22hlFLwRISVNdHZbIKRClFpIU7NVMJYIwDKd166YQZSDa9iK6iW0pbrN599cIBMzeHhPH9++VGK16XBiLIulazx/tUQ6+O7CUoOLK03u252nYXt89dwKmoD7due79IssQ/Rchd0u4IXrhT1BimVg/bWr9I6qYynn1Hs/mmDDeYsgn5e0dFVLDNNGwbuyvt7UaZtdrx/AtEXwPLczSWZiOnv7kxiBU7V0k9F8jPOLDaotN0I6Xiu18HzJ1GCqizdwVyFB3faYr7QZbToU1pEGTBaT5JLKIccMjb0DSUoNh7lKm/G+uFJv9iXTq03ips7UQJKYqe6CpQumgu2vlZoMZqxtB7kRAwQCLWJaJ0qHexLqHalYX3YLgdqeCmI636fOp2Boa8fQblKzTROCA4MpXpqusFBrM7SuhmS7Ps+cX6Hlel0kw9u1bTmmuKGiks20gA4OptlTTEYDIh0zumC0vVZCnV50/DpKsLfDZIAII3iJE6aG76seoq7oPXhhQmhkaNuZWNRKSSMd14PI12cwa1FrqQcXC4r4DduL2Nlbjk886GcKB53rSUxDATuatkfTVhBk5XCUA0oF9E7rBRNjRq8UKUF+nWCldbN3c6N1+0gRQO27Gy2jT3d4/LARU6n5bv7jXjItoYUp4c5rT5o6T+zv54unl6i0XPJJxXRxeqHOZCGBlHBwQKV/9g2keH1OkcS2PcXTdnIsu0FUT4GGdnZ9N2PXu5XbvdWWsRlj/tq4lOz82W3YH0QEqNuVZ+lLWRsas+Om4tsMswxu0OcXN/UN6VZNqNaBuXKbUqPbMVmGRnJdHS8eNBuHGYZQ6bdhexTTakXUGeDoQmDpWpQNiG+yot+paUK1IXReenietiejurARqDxU2+sezi0chwJ44kA/L14t8ytfvsAjUwUqLZeFms2XTi/x2myVF66UeWhPH3v7d54J2x6JayZGOqazWLN7fn90NEO95V6XcflWm5TqYbieSnWJDuTQevLPXtYKiuhh3t/xZFCLWtsm1EZarjvoQiHCtrNvUC9w1VWoPyNYHdbbCpmVtHRcey36kVIh/kL2cgsR5LdV6k8VnZXTVJyDAUGuoX7T664L0aEK+zbbBmcY/L+2zbcjDBzcIBWqIMVqAvN8Gcmvb2XGFqwS69Nz6t8y5OPkymqThZrNrnyCmUqLPcUkSUvn6fMrfODwYBdYIxc3ePeBIt+6WEKyVpMFNmU8uF1mBisiT6qag9XBIKGYGPxALHDzFDeoyfV6Z36r4pnNUkGbmQq21v4WPc7V9VRGQa2uN+48zNCsr3/oordoZ8zQkKjUMYQgA1iu2TzX6C76yyALYQY0ULfCVI1bAWsMEYZ5a+b5RFJCALa8dc+nlwkhmOiL8xOP7uZ3Xpjh916apeX6LNTanJqtkbQ03jFV4IfuHr2hbNi2HNNCrU2p6W4gNLQdj+nlBomYzp+9NMMjh4cYLyaZLzUxdI103GCx0iKXtDANjYVSi760pSDMtstYMbWtKClMSfXaNlRRNTv0hzq3U8J6vfcbDwatH8CljKD20zmpKrp9M1Lx3AkDs6krtJAd1JXyScWonY7rxPQ1Ab8w3db2pSrGm1qg9qvjepKEpZGN61RaLn0pA8tQCrhhCi6zjro/tLczUl9vmx56G+cUws7LTTeaSKOfBivE7UTqITJvW+crFHXQ184t05cw2F1Icmm1ybVyi3zCZLrU4o25Kn1JE1MXfHe6zGrD4blLJab6k7x4VTGZr2/c7awrvR1maIJ0XKfc9FitK/RjSFZsOz6rdVVDCQENm9nbxX4QBgI7OdK23kDRvf/rbLbhfNbbZkQAmbjRU0gR1NyxPr1+oxZmRVRgG2YaZBfkvu36VFp+lEW53TGpEKqn8h+9dx8XlhvMlFu0HJ9M3GCykFB8jzc4CW3LMdXaHo7nU2m5US5RSsmzZxaRUjI1lGW13uaVSytUGzbTKw1ev7LKyT1FmrZLreWSjhtcWapzZFeeVy6tAPADD04yMXD9/KMqBvdKKwgSPT7vtPB3UspIljuSGCCIMLeQ+hZCYOiqWBjup9pW/SE122MiH6fa9lhpOIxkY9iuH0k/jOfiNB2Ptuez3HSYyMdpuj7VustYLo6uKWCJJgTjecWGMFNtMZSOIYCarVIH4/k4Sw2Hb1xc5e7xLHuLyS4es9ulULuV3a5oLLy/yzUHX6qcfSqiB1LpP08qZeRbqRqvCfhLdw53TZJ/6fhw1zZ7ionouwd257l/dz76+8lDA9G/18O8327LJ01cX9UjFqpOFKCEtZxsXO/Zj9hlb9OQEnDTbRi9zAyECtuurwLPjnckZMuXqPp4p7m+0vvqjPIlamUlghQdEAmfxgyNiULips9f1yBtaUFdS0Q442RQTxVCYGqSXEKPglLV06Z+b2jquap+P6UQHWqjhfvpnOL0QA37ZqcOIVS9+shwmiPD6Q3f3ahtyzHZns9i3d4AFzd1jVK9Tdv1GC0kmRrOMF9qcnG+iuupVNPkYJ5XL63g+Yq5d6yQ4vS1MoVMjFzq9rIXe76MYKKRSq6EetsnFqjVOp4kZqj+mnD5rfowVC+AwvzT1Yh6eqFOqeWwt5ikYXs8e7nEWC7GMxfqARODiCTbr6yq3ojRXJzVpsOLV8sMpC2ulloMpi3mqzbjeeXQvnmpxEg2xlfPrajmtHKL4UyM5YbDWE4FBCnrdhAv7dyk3Hmkux3zfKKen6Slekp0rXuQO54fFiduma0VnrfYZou/u7/73jkmIQQ6kqSp0bA9YrqGaagI29AVcKRX3fF7aSqVp6Dct2pA6QKKKYurq02W6zbD2ViEpvOkZLFqY2gbCQMcT6H5Qq24sG2j1nZJWXrksJKWTiZmUGo41FoBZVlHyhR29n5oQhCWovQuB6JSkvWWFyFuSw0nSiUvVm3SMYNkTGVZFBJX0LB9fKnaLXSxMaUcgoBu1DpruyGJ7K20bTmm46NZxup2F/JCCMF9+/tZrdkkYjrvv3scS9c4MJrlrr1FNCFIxHQMTWO4L8GfvXwNgKVqix95bB8t2yO9DaXFG7Uwn27qIYJLBHLf6vswBaikG1TI5vkyEL7zVNShq0DLdiWG1RFxIZkqJtlbVDpDs5U2SVMNVMeT7C0qaYFr5RZCKG2iwbRiAV+o2wHbsRIpu1ZuMVtp05+0uFpqRqqaUsK+YoqRrMXLM1XyiTTZuMFo9vaTskYv2Bb3Nsy132pzfD9qNMzEjQ1OCQLAxu05/P8Q1nL9iIl+KGsF7Prf67Pa2m4H1+VYPs5y3eb8YgPXk2QTSg9svtJmpW4zmo9v0FLTBFxeaeJLSSZuYLs+V1YUum+0IzWlCZjsT/DGTJVTs1XG8nGVxQhqe5Wgx20kd/OyM5WmR8LSKDdc+lKqBzAVUyAIgUJ+ep5kpe4GKyCDStMlHVepv149ZDdrUsIXTy+xu5DgjqHeWa+m4/HsxVXuGEozmtuZxM11z1hBqnVS1kbknKFrDPQ4YGKdNEZWN/ngvRO4Xog4ExskmG+H6UIpUwqhRasnGTRruoET8nyC1VLwI7G2OgqbanvVM8KCasrSGUpb7C0msHSNtxbqXAz0e0YyMWYqrSgCyicMBlIWU8UECVPHR7K/P8UrM1Vsz2c0G2d3n9IyWmk4UW1MQqCyKZmt2gynrVsm1NbLwl2H/VHra+QS1Qx4OyzK5cMGyhv1vYyUV/9/620tJwQ4iOBZ3o617fUthCRISU9gVMjorQfgo1s5pEUAVDo8kuH8Yp2Ly42IeUPXhGqALW5MwSVMnZFcjCsrTRxPoT51TbC7mIxWXeH+C0mTwyMZLi43uLjUiAA7mlA1n1tGNCvW3gtNqDRcKP2uayJi5jF1oWjGdBGBrdqOt/W+b9A8KfncqQXedaC4qWNyPcl/f22e99jerXdMsP2ehM0sahjcYu24HcLVzX8LnfF9uLRU/lH9VjdEhLDrrEtl4mr2V6cW5HXXoe7WF4mnismoATJl6Tw4mVckt2kLI8g79yVN9hQS9CXWoPPFpMnJsSzLDbX81oSqI50cyzCQsnhkT57pchtT15joiweM0BrHhtNYuuC+XVmqLZehTYqtt8ripkalpTSAam2vqzlSoiK41naZCHZo4WTqS8Uvt15FNQRF/I9qW7LDB5X59dRg698PS1e1iobtM1u2VZQfbCJQ4zlhaRHzwu1agYeoP8VkIOml+i2l6qkSQly3j6mYsjg6qvVs2MwmDI6OZrraVIRQ8jjHxrLU2gpIowU1kbCVYIOzBEZycQYzMcV+EaTDwtRepwkhKKRMcoks37m4ypm5OndN5jk9WyVlGazEDZ49u0R/OsauQoJT1yoc25VjJkgv3j3Zx0uXSuSSJsmYzuWlBmN9Ce5eJwiajRu0HI9cwLKRjhuRE88mjKidJBtX3JBWkHVRLA9vL6N8p1mGKmuUmhvpqK5n23JMs6UWv/TZt9gzkOKn3rPvlrMEgBoQv//8NT770kz02UAmxs995PA2Ig/JF19f4HOvzPIT755i/1D6tuQ9QQ3GYkdtTAhBf8qKlH2XGw5DaSvaZnBd+nMkG2Mku/ZZvmPlqPi+Nl5rmELdadRxIyaEIGHpxAxFYLtcd2jaqibnoyS+W4HDaN2GVZMZ1EHqgQPyfEnM1JBSrQQathdBom+E6f773XypxAPdoHnVl2vX6XiS2bKNpoW9XARktB2Bg1QsHnFT9dFsRgdTbiry1v6UCdz6No8w01Jpung+zFftqAcnhFNn4nrAcqJqOdcDqIcOopet56HsPA9dbE6ntpklLH0DMKKXhf2EV5cbfPy+cVbrNgtJxbRybqHG1GCas/NVlmptHt7fTyqm83vPTzOaT7Bcs3E8n/unCnztrUUOj2Z5Y6bCyd35yEGH4Ku0vjZVxzrmX8vQIocftzYCojqBURHoK6id2a6PrmsbAm/fl4HumLbhnq5nyZdsHkyVm07Uo7lT25Zjajoe371cCoprt2cyEMB4IcGRsSxLVZunTy8ys9raVi3D8yVfP7PEn70+z7sODbB/k6Xl22GHv4fHDk0ElErXm2xUOnIjz6AuoD9tsRzwqtVtj3rQwiaEmtDyCYOFqt3VdB1G3xsOK9Tv1o9PQQjp7v6skDLxpUPL8am0PGh50XdJS6OYNqm2vJ4rJ9F5XVtcfnTszTe5KdOEQIqtz6GXhaSg65F94X7ang8d2RnL0AiT7CHMfrnu4AWoLctYU4VVDAJqQmrYqocvFkTancfZzn3R1j23XmYZgkLaZLWupG1KHc8rfJYK6RamGr/PC2GbmBBwfFeOp99a5OTufNAXKTk8miUV03G9FH0pixcvrXJkLMs7Dw6wWrcZzsWQUhG1jvclyKdMdvcn19FadQsYAl1/y+DvcFHc9V0IUAq+W64rlYhEgP6r2z5JC3ShRdtqwWNouyoAHcl1Bz2n5mpMB4waddvlzEKdL7y1tOGe2K7Pd6fLlFsO+zYh6N7ynl5PwRbg/EKNT/y75zk6luVf/ciJnpHJrbRK0+GT//55qk2X//oT9zNwHcp0KSVvzFR54eIKH7hzJOrG/v+ihQNZBl2Lveo04XbK5ysIfS9WZl+qQrrjykh5NW5qWAHKywtCpk6G4/DYnfvsPFanzP3a53SBHML9hC9HyAoQM0RAdbQ2ya4/jiQERvS+rvX3aI1B49aNl+vd2+3+djumiTWGaMdTqTvXkwxkzJ4SGeE9Wqwq5vCkpTEc8LlFz9xR7SG5hNnzvvhB6wWInuCU9cdruwqIFDabVtouSVOj2CFJ/7021/P57tUKni+5eyJ3y/qPbtZajsdcpY0EiikT21VyInFTpz9tcW1VAazyCRNNg6WaHXFETq+2VC1bSkZyMc4tNkhaOgNpC8vQuLTUYLwvTtLSWarZNGwPy9AYycUpNVRgONwB3pBS8pWzy3z+jUXmq20athc08W98hgqUofHI3gI/cu/YJrI8m0citx6ucQtsp0NVCMGRsSxHxrK35Xy+XyzUE9pqolvjmdv6LoYpgs22C/eTsnQ2I9Jbn9Hd7NibHWvtc2Wev0bZD4oKhiCSiwd9GGEasbMxU7FLK8dZb3ukYvoGyprtnOetsuvd29vxWymVNpnjyUhGpJfDUHx3MmII6EQ3CiHwPI/PvDBNIR3joQP9VFsuhbRSTi7VbQayMSpNFyGgkFIOre36OJ6PJyUZy8AJiGQTpoaha5xfrhM3NEaycSxDo2o7xIL+HNv1qTseqYD9ve2GPTrGlg3A368WEjcDG5r1b2Rfq4GDMHRBuekSN3SkhHTQNuJLSdxQ9cKZcjsAbCiGdCFgLB/jykoLIQS5uEExbZG0FEVaKmZ0rLBUgFNqugxvMo0KIXjXviIP7eljptziV75ykUPDaR6czG/YVtE+mYzl4jsiJQhtR44pvMmL1TbzZXWxw7k4hZTZ9X1oKvqTzJZblOoOmiYYzMaiTumbjVLrbZczc7W18wP2DKa2zCeH+iwzpSb1tkpljPbFo6JpGDnOlFosVNpM9ifp69FvZbs+Z+aq6Jrg4HCmS5pCSnWPlqptfNQLPJyLb4jMQ0YI15Poag7GDjRY4gGxrOcHTcCaYL7cJm5qZOKGIujc4f1SE3+IOgzvhyqmh2m47u1u/hl15rWvZ/W2F4kMthzVwe77a+mnTNygafuYmmJO9qXaNpT2MHQFmEiY2vdNJH4rTErJyxeWmF6q8dR9k5vey87GcZXM3OjeImXmYPLU16ENbFeyUG5zfKKPpWqbZ95aYLyQZKVqMzmYwvMln3nxGpoQfPIdk6TjJmcWa5QDguKxbJyYobFct1ltOtw1nmOxbpO2dPIJE10TTJdaGJpG2jJ4eaZM3FRs+cWkxcWVBn1Jk5RlcHAg9bZlPjRNsG8gGSFgb8RCFYCLyw0G00qLyPYkSVMPGExkQIDrRci9lqMYXjbLbCjGGJNiyoyeZcLSuFZqMdWfZCwfZ7XhMF9tB6g8k0zMQAhF7hzqMUEQePgb+SUdT+mHjeZiAUlsRx1pHZpS0wQJTWeykIzYHe6d2OiYbtZ25piA331umv/87avMlVqAZKyQ5G+8Y5IPnhzpauKSUjK90uRff/k83zq7TKmhHNNQNsZH7xnjEw9NkLSMm+qvuLTU4Mf/n+/SCJgpNCH41z96ksfuGOi5ve9LvnNhhX/71Qu8OVNVDYiGxt6BFH/zsT08fngwKjo+d36Ff/IHp/ibj+3hp9+7r+vhSCl59WqZH/utF3n04AC/8oPH0FAOrdRw+L+fucTnX51TjklCIW3x+KFB/vYTe7vSjKWGi2UIKk2XhKmoiJTiqksxWKYXUyZLbY+RfCxoBt78fmxMy4bTk7L1HfZr8vFKEqFTyt73AW2jY+k+hhr064uqneZJtb9QM2aricYyNGotbw3azxp0X8F215BeUspAS0hE+zW0QK6+xyFUGkkV2MOV58a0olqtqZeXCGQQbuMHjO6ItT64rvRj4NARAdecYMP+1+83/FzTFDVWr+9dT/LF717Fdn2evHtCQZ71bg44IcIIXQELaoE8yvoR4QfRdMhSnVqHQE3HDSb6k+weSPH0G/O0HZ9G28MPVqQh9HtXfzJKdwkhmCwksXTBbKVN2tJpuj4rTQdDE/SnTPpTa4CgYspSAaKrpFCODmd4/kqJuu0xnk8wnotzar666Ti5HaYJsYFl/MZMja2YqTFXaRMzlFMqNR0G0zFqbZdqyyWftJittGm7SlNpPTs3rEHS5yo2M6U2AxmLlqP0vcLgezEAUBRTFjFDHbPW9hjKWKQsA4QCjWhCyaAovtOAFs7xcH2fwUyMhKmx2nDIxAxarhJW9HxJqq33TAlrAu4az24LIHIjtiPH9NrVMtMrDT50coS9AymmV5r81+eu8kuffYtswuTxwwPRBcxX2vzMp1/jwkKND981yslAHuBPX5vn1750nkbb4++8Z+qGlnmh7R9K87s/8QBtx+M3n7nEZ16a3XRbKSXPX1zlZz79GklL56+/Y5Ld/UlmSi1+//lp/vEfnOKXNcG7DqlreHBfkeFcnK++uchfeXQ3+eTaoJXAl08tYHuSv3BsKIrOm7bHP//sW3zx1ALvOTLIowf7EcA3zizzBy9Ms1Rr88sfO0oq8C4xU9Bo+0qbyfMxjVDAS01WMUOjL2XSDNBvMUMLCtq975njEa28PA8sQ+J4YOiBRIQXyCF06A05nmJbaLvd3/mA7RGtnELH4nhrBVZTl2isSU+YerjqU47Ok+C4wfn4wX62GMeGJsgl1vowgIjLUNOUfpUb/LsvZeIFTB26ZkQQ6lyid7Dze18/x+npEqah8fRrMxTSMX7qw8d54I4hhBBML9X5+d/5Dj/yxEH+05dOc2m+yqNHR/jZj9+NZeosV1r82z95na+/Pouha3zgvt386LvviF7M507P8+/+5BSXF2okLJ3Hjo/xkx86Rtwy8Hyfz79whU99+QxLlSaHdvXxUx8+zr7RHC3b4yd//es8fmKML7x4lenFGgd35fkHH7uLiYE0Z66V+OVPf5dnXp/B0DW++so1hIB/+eOPcnii0HWNlqEUnmttj6WaE2UEguwdjieDtJu6V5m4rhRx192wJ44Ok7R0Hj00SK3pkA1QsaW6w0A2xg8+tDu494FjYg3mLaXkSqnJ0eEMC7W2GheaRt1W5MQhK4rrS3Sh6KVKTQfHl+SMjQixGzG/I52miW7Wlttpik1BC8QtlYKt6/vEDIN48O42bQ9PqpqWoQk8TSgHsokZusZ43xoaN2npXQ50LN+N1J3o4DMNgQtDAQpYNeauHauz8Ta5rk91zzYYwR8/0H/dbW7UduSYGrbLL/7AER47NBBET5IDI2l++lOv8J++eZmHDxSJmzq+L/nd56Z57WqZf/DUQf7yg7sipud3HRrkx37rRX73O1f5wIlhDgxnbvjkLUNjopjEl/K6AImW4/PrXzmP6/n88sdOcHJ3LopI79yV48f+43f5zacvcf9UgVTMYDAb49GD/fz+89O8drXCowfXHkKp7vC104uM9yW4d29ftJ9nAmTgR+4a5R9+8I6I+uWJI0N4vuRPX5vj2XPLvPvIkDp/XWPVVVpM9UClNBkQuEKAeup4n3RNaTQZem9JgrARz5fKsYT/VhOHAE128csJBKYu8X2ClVi4TxW5mwZBJ7tyKkpRFSxD7dv2IB78u3slFpyvEPjaWr79eqauSWzYXg/4DQ1ddOlLhQFBZ01mM8e3Wm3zn750mp/9wbv4P//WI/zRty/yM7/5LX7/H/0FhvuS2K7Ht96cBwQff8c+cqkYtuthGhq24/FL//UFVmttfvFH76facPiF//w8pq7x1588hO36/LNPPc/jd47zDz52FwvlJqVaO6pzffONOX7pv7zIz/zASfaN5vjPXzvD3/2Nb/I7f/896Jrg9UvLXJqv8I9+8B4ySZOf/9Tz/Pofv84v/uj97B7M8IufvJ9/+B+/zXh/ip/80HEQ0J/d2DoggP60kgCvtT2atr9B+VYTCm6ciRtkNpFpDx1RNmGS7UiLh0wtA+sK2QNpK5L3GM7G6E9ZLNRs9ven0IRgVz7BxZUGpYYT0ID5lFuSQtLk4ECaa+UWB/pTmIEyq6VrjPW4vu3act3hK+eWaDgeg+kYTx7of9tY3gUwko2jC9UP5ftq3GbiRoBEVPI0Qig1bydo9P/zZmt12ttjO3JMI/kEd+/pi1IIQghO7s4zNZTm7HyNuXKLyf4U9bbL06cXGczGeM+RwS75gULK5MF9RX7z6Yu8fLl8U45pJ3Zhsc6paxXu21vg6Hg2iqCEEBwYzrBvMM1bc1VmSy32DaXRNcH7jg/zhy9c4/OvzfHg/gKGpvSOXry0ytXlBp98eG0lJaVaRWlC8MGTo118ZAlT5513DPC5V2b55pkOx2RoFFImCUsRTlqGRrWlaEfipvpOAPmUYlbvSxlUm2r5begbZ2AlBb0G+/TkGqQ3cnKdjkmsOZFom8CijJhY+4kXIvAQCLGW9tvMwmOKdfu+EbsVL8LEYJofftcB4pbBcF+CP/zmeb57bpH337sbUNH+D7/rAI8dH+2KsBfKTf7su1f5pz98L6m4SSpmcnKqnz969iJ/9b2HFBAgE+PcTIm243HvgUHiphGlOX/3mXMcHM9zxy7VOPmu42N8+ulzXJgts38sDwI+/s79PHZ8FIAPP7iHP/7OJcWUYhkMF5IkYwbphMVIIblp9B/eo0LKIJcwsD0/qheKIL1o6AJT2147wXZtML0WFIbR/3jH94rkc+09LyS7U2YDPRrGx/M3rtFWTJl85OgwL10rc63celtZQoQQESjIEEQY707f09kHGvtz6JQ6zfFU2q/p+Jv2M2Xjxo7TpDtyTIPZWMSuG1rM0BnNx3lrpkK5oTp8m47H9EoT1/P5Z//tjQ0IqcvLdTwJS7V2T6qSW21SSubKLaotl7dmqvz077zc1cznS8nl5Qb1IP8b2pGxLHeMZnj27DKLlTYjecVpVPHcAAAgAElEQVSB9/lX5zB1jfceG+roLZCcX6hjez6/9qVzJNctz5drbaRUKc4Qeq1rIlpOh2mRYrpbtAyIgBk6gkJ6K7TZGoO0FjipG82U9noiPZ9S4HxkUEsKUXTrTcqbd043a4VMHD24ITHLIJu0WKm2o+8NXWNiML1hPJZqbZYqLf6v//5q1MTo+5Kp0Rygnt3//lcf5Df+9A1+4t88w0ghxU9/+DgPHR7G83xmluu8eWWVn/r1rwPq/uweykTvhalrjBXXCv1xS78hHZ8QETZXabGrL8Gl+TrFlMVgkMpZqdvgiAis1DmRlBoOV1eaHN+V2/DdlscEXri0iiYE90z2IaUS6LuwWOdkj6L49Rhe1pODrv9N71pn9z6ULtHWIIZev9/OvrdzDVvZdu9rr3rtds9xu+d3I/vvPEat7fHbL1zj+culgCWDzqRLsC18+NgQP3zP2Kb762U7cky9yCBFkMMNob6wxurtS1htOBvgzZm4ycndefqvk367lea4fpBn91mpORuuY6KYZHcx2UWBk4rpPHl0iP/jT8/yrXMrfPTuUa6tNvnOhVWO7cpxYGhtEvODfSOh2nQ3sCIIITixO89kf7L7Ad5CEygHoAm1enLkGqQ7FNkLUXhIdU7hqsiTIAKHuZnpmqoxaUJGKUKBotZ3pTrGeqKBsAalCdnR/HrjthOU33pbqbbwPEXs67ge1aZDvpPFY5P9ZpMW/dk4v/pjj3ByqjuvHs59uwbS/MKP3MdCqcmnvnqGv/vvv8Ef//xT9Ofi9OfiPHX/JP/8rzzQNe50TdBouygQyebXE73r25jUzszX+Nwrczx15zAL1TbPXVhlKBvjsTsGePb8CneMZMgmDP70tXksQ+O+PX28cLnEYrVNX9KMHJMv4VvnllmotpnsT2HpgnMLdbIJg7t39/GVNxfJJgwe2ldgopDktekKUkq+enqJhUqbpKX3dExnlxos1W0KSZPTizU8XzJZSHJsOIOhwVy1zQtXyzx5cCBaWZxbanCl1OSdU0UMocbZ1VKLtxZqVFouli7YU0hyZDizrVW1+n2TU3M1GrZHIWVy50iWQiC/3vZ83phXjaRt1yMbNzk2nGEkYiiHpy8ss68/xWrT4fxyA4B7xnOM5+JbPstyy+Xbl1fVtWiCr55bJhs3uH8iz2rT4fmrZR7fV0QIydnFOmeXGjgBj+bx0QxJU9UEq22XU3M15qptPCkpJk1OjObIB4Hus5dL5OIGddvjaqlJytI5OZZjML3WszZXbfP6XJVyQDh7bDjDcEZd4+XVJldKTUaycd6cr+F4PrvyCe4czRLiHb5yZomvnV3m0FCa/QMpnjm/wq6+OLvyca6stjizUOODx4Z49w3UonbkmCpNZ0Mk53oKiZaw9KiJyjJ0sgmDhKXzLz9xYgODb2g3A3zYiQkhyCZM1fB1oJ//9amDm8KJO5uHhRA8dmiA33zmEl96fZ4P3DnMs+eWWanb/O1je7sQKbqmUD1zsRY//9HD7Bno3e28Rqx5eyxkRFcBw9rEGdaHhFAgCEMPJzzVee/5aystLfQ2HfuEkJwyaAAVqtaEEOhaoDbrK4fYqSQdgTHC1dtNXnut7bJSs9ndn8J2faZXGuwd3B7bxvnZMv/tWxd59OgIn33uEsAGR9PLhvqSvOPoKP/qM6/yP3/kTrJJi+mlGsVMnKOTBeoth6+fmmXfSI5U3GS4L6kCNV85+o89uo+f/a1v89nnLnHn3iLVpsPsSp0nToxf99igxuFQX5JXLixxcb6KoQkG8wni61blQggmCgkOj2U4NJph8UybB6YKnJ6rIqVkvC9Bo+1FiKz3HhmMVFgfnCpwdr7Wtb9y02G5ZrNSt5nsT3FsPMubs1UqTQeJ5PE7BhACKgGjg+36zJdbPLK/yGvTlZ7XUrddXp4pM9mX5MhQhmrb5fmrJeKGxqHBNC3XZ77Wxu9Yd9dtl6W6DUFwdXapztcvrLC/P8XkaIam42/7vZJScmmlyTcvrXB0OEM2bnBhucEXTi/ywSNDZGKKgbzWdtnXnyRu6JxbqvOls0v8peMjpCyFdFyqOyzVSwykLQ4Ppmk4nuq7u44ZmmCxbtNwPExNY6bSYrWpc8+uHMsNh5ar0JKvXKtwZqnO8ZEslq7x+nyVxbM277tjINKZcnyfI8NpNCF4ZabCMxeXeeqQyuKsNh3eXKhxbDjNybEc55frfOH0Ih85OkQ2brJQs/nC6UX29afY159ittLmz84s8uSBAYazcZqOr5xW0+XQYJqm6/GdKyUMXXByNIsv4ZWZKgcGUvy9x/eSjumcXaxz13iODxwZpO36/MmpBZ69tMoTt9sxXV1pMltqMTWYiiKHxWqbs/M1hnNxBgMut3Rc5/iuHM+cXuLSUp379xZ69jjBrctzX8+mBlMM52K8Nl2m5fgMZDayQ/SKSHcXk9yzp4/vnF/h4mKdr765SH/a4tED/d34fgH3TxV48dIqr14tc3gs25NNAW7fNStU0NrfnfPWZmQdYe2hM0YQQnSpX3YiQtdvG+5k8/3fnO5Lp/m+5NxcjTeuVTA0wXLN5tR0eduO6cjuAi+eW+A3Pn+KVNzkFz95PyNFFUAYusZQX7Jn+idm6vyzT9zLr332Nf7+b36Llu0x1Jfkpz58HFAZgj9+7jJvXFnB9Xz6swn+yQ/dw0CAmHrX8TF+9uN389tfOc2/+MMmiZjBO4+N8sSJcYQInczaTUrGTPqziY46KHzi8QP80099h0/+ypfoS8X4lz/+KHt6dEKaukbT9ji3UCdpqmAxaSnI8pn5Grom2DOQJJcw0TSBIRSbx6tXK10oLU1AKmZwYDjNxcUGUwMpXp0uowtBMqYHrBBqBf7mbJUrKw3qdp50zODlK+UN5LudZmgaD032kU+Y+FIyW2kzU2lzaBvP0ZOSl69VODCQ4uHJQgSMUffp+u+VL+HV2QoT+QRTxRQCBUL4o9fnuVpqcmgwTdLUeXiygOP5kQrBhZUGLcdTDeeBxQ2NRyb7MHQtqrVe7xQSwTMJ6bQG0jGajqfERus2hYSF7fm8NlflnvE8E0GtTdcEn39rgdUAdt6fsnhosi9C8DYHUjx/taxaD3R1T/qTJneN5TB0jZFsjE+/MsPl1SZHhw1en6tSSFo8uLsPXRNM5BOUmg6vzFYj6LomBA/sztOfspDAct1mptzixGg2av49PpaJREtjhhYx/8cMjccPFvnK2WVema7wxMGdOacdOaZ62+XffPk8P/mefRTSFtWmw69/5QLLNZuP3jMWiW5ZusYPPbCLb59f4Zc/e5r/5cn9HBzJYOgC2/WZLbU4PVflL949uqEWs0YXQ0AvI7esQ4XpqTCNuNn2A5kYH7t3nF/70nl+6TNv8jce28NQNoZA0LBdzi3Uadke77+zW7VU1wTvPz7M028t8scvz/LqlTKPHuxntG9jcfapEyP88cuz/NuvXCBu6tw/VSBmaDiez1LN5tUrZZ44MsjwLSZjDRv7LH2t9yVk5r7Z1Nn3k7m+5K2ZCq9dKdGyPSxT47FDg9v+fTph8b/9yP1Rv1K8gx1hV3+a//5z79sg2RLaYD7Jz/3le2k7qrHX0DViQVolm7T41b/1MLbrI1Hfxc21fRu6xkce2sP77p2I+u1igfyLqcNv/70nsDq89wfvn+Qv3DPR1Se0fzTHf/y7T2C7qmlys/OMmxofPjmqVs0DKTRgrE/pCH3oxAigapePHxqInPAHjg9HWmShCSF4dH8RhOChKQXLD/WIDE3wWDDRCAEPTRV4YG8By9B437GhaDLfzEKRPSCirunkXOy09cFiy/Gp2S6j2VyU9dhJoOdLyXLdZqFmc3m1GX2uibU2iLrt8cJ0meW6Haz2Jbbnb6idDqYtjBAyv81T0AT0pyyW6ja+lAxnYsxV25QaDssNJT4a6jl952qJ714rq/uAcoRhg+xS3ebF6TI12wvuixdoy62Z0jML6paGamgutxQx8mrTCVS01fe6JhhIW5xfqkc8jTFDW6OlkpKYoVPuqMGH83lYP87GDRZqbfzg/cpYBklLY7bSZqe2bcckgPcdH2ax2uaT//55+tMWqw2HxUqbdx7s55MPT6xtKwT37i3wjz90iF/9wll+8lMvU0yrBrB626XUcDg4kuGDwYsCcHq2yqe+dYVy06HadLm6osS9fubTr5FLGKTjBk+dGOXh/UVANQn+h6cvMr3SoNbyODev8tX/6ovn+f3np0nFDA6PZfnEQxMRPPOHH5qg0nL59HNXeeb0UtTsWmk61NsuH7tvfINjEkJw394CI/kEf/DCNRptjw+cGN6QChRCsKuQ4Bc+eoRf+sxb/NwfniKfNEnFDFqOz2rdJpc0eXB/d+/Jdi0sNvq+WpE6nqTpeJFCZb3tYSUNHM+n3laSFXFDuy21rO+VWYbGX7xnnMcODUaM4ztq8JNKHiDRI4WsaYLUdYQrFUx/42+FEFim3uVcem0Ttwx6hSTJdcc1DQ0zcEpSSn7vW5f44L27SFgGsessP4UQXezTACFHSGeaWusoxph671VtdK3axt93wq+7z0lsCtlfO59OtOgmnOIdM6zTUT4QQqFCPbl1wLqV6ZrgxEh2wwotpGl67kqJ5YbNE/v6ySVMSk2H3391Y4/kjQZ9Q+kYF1dUXerYSAZfSmYqLSotl/6A5snQBY/vK3YhHkE5C9eXfO38CrmEwZMHB0iaOhdWGjxzYblr2066qTDIDxu3dbHGArG+0Tt6NqyVAtbfZyEE4/k4l1aaOIEU/WQxwZ+8schctc1oNsZi3abcdG8Iqr8tx5SOGbz7yCAfPDHC1GCaL56a5+UrJTQhuHuyjycOD5JNGF0nr2uCp04Mc2Iix9fPLPHGTIVG2yOXNLljJMO9ewpd2im261MLvHEmYfDIurxkve3RstdolT1fUmrYOJ6K5g6MZDgyvpbaaAf7W1tiK/6wn3z3FO89OsQ3zixxeamB50sGczGO78px92Rfz+vPJU1+9OEJnj2/Qn86xolNKDiEENw9mec3/tpdfOvsMi9dKVFuOKRiBlODKe7Z08euwvUb17ay8BY7nopUWo4fsUNLQi45HV+u3SspJQs1m7bnM5KJYWja24qQcz2f80sNRnNK5fPyiirGDt4A+MXxfP7Ls1fUpCDg7sk+Ht2E6aPTdE1Ek/2tMNfzef3KKlLCsd19XF6ssVqzOba7j+VqmyuLNQ6O5ZhZaWC7inbm4JjqnXNcn9MzZZqB3s/ugTSVhsO+kQxvXSszNZzh/FyVa8sNjk/28cbVEn3pGCP5BId35W+rSOR683zJbLWFJgTDmdh1J2PH85kutzawo1u6YDx3fQi4pWv4UhG9qmyD5Fq5FX2fMHWKSZNzi3Um+5JrDeGyt7DketM1wWg2znSpyZGhdLQqDRu3QdVnBlKxKAO0UFMMDbfCQjaHU/OKrSaEzn/j4iqmrqRCNCHoS5hcLbUYz8U7SHoVXZnrQ6XlcHgoTdrS8SXMVdoRIXJoC7V2RNFVajpU2i6DaSXJMZ6Lc365Qcv1iRuK/uxqqcloNh6xqWxlmoA7x7K8OTfDUt1mLJfgxFiWP3p1nl/+4jn2FJJMl1pU2u4NKS5syzEN5eL8wkePRH9//P5dfPz+Xdf9nRCCXcUkf/nBietue2xXjl/94TsBlZpr2C5NxyeXMKgGPFymrrFUs4mbGj6Sv/bOPYzk4jQDzQ9TV31Apq6ECavhsjWg18jEDWYqbcYLCX788b3bjrZ0TfBDD07wQ9u4DiEE/ZkYH7prlA/dNbqt/W/XNCEikstwkAqI/rZd1U3eCtJNoa02Hf7krQWajsdjU8UgUry9k1u97fLGXI1iymJ3IcFi3UYIJTNvez4ziy0G0haXV5os1W329iept72ArkVR2PRiuKi1XYZycX7gPlWf2S4n3v/0jn08df/kLePQq7Ucnn59jocPDVFpOvz2186RsAx8KfnyqzPETZ2ry3VKNZt62yGTMNk3ksXQBU3b5Q+/fRlfqnfrzekypbrN33n/If7w25d5313jfO31OR47OowQgsWKaqv4o+evMphPRLXct8Murzb5szMLCCH48JEhhjNbH7vt+jxzYZlKy+1KKxWTJh89NrLp70LrT1kUkyZfPLPEWC5Ore1iB+lPUKP2/t15vnhmiT96fY5C0qQdZAfeOVVAA66Wmqw2HabLLcotl1dmKqQsg71FRZt0z64cXzyzxGfemKeQtHA8pfP15MEBUpbOnkKCl2cq6EFTeaXlRMKCt8IyMYOG7ZGJGcR0Ra7asF0GM6odRxPw8GSBr55fZrlhk4kZNB2Vwn3vgX4MTSnwvjRTptxyqdkuTdvrTp8KFSR8+dwS2ZjBtUqLwXSMXXmFGjwynGGm0uJzby7Qn7JYbtgIITg+kt3WvCiE4N5dOXblEwxlYgih9OI+ce8Yv/vSLN+dLpOyDH7gzhEODd8mx/T2m2Sp7jCSjdFy1ESsGrhcUjGdUtMhGzeJGXpENxJup/ooPMpNJ6DaUczH6ZhSgdSDldOfR4ubWlA3AjNhRForAMW0GaVI1moT6ruW69NylMZPw96Z1LLrS2bKLXIJg9x1Ul2hSSlpOB7LdZvTCzXG86Okg3suhCBt6SwLdV6vzVY5NJTm+csl2q7PSt1hIGPx7oO9V0FxU+fFCytcXa5jGTr37O3jHXdcv86UT8fIp29de0IqZvKOI8N8/Y05BnNxCukYTxwfZbgvybfemufxY6PkUhbPnVlQtSzoChaKmRi5pMVwPsG5OYVgC3nxLi/UODqR5669RaSUDPcleODAAFeW6lSbztvqmOqOG9D7yG0JQ8ZNjXfuLVK3PVqux6WVJtcqayuekWw8UtgNbaqYjBhJLF3w5MEBLq02aTkeewoJ0pbBYt2O0lBD6RgfOTrM1VKTuu1hBcV9XSiJ9pbr03b9SJTTkyrt7UuJEBp9CZMPHh7iaqlJpeViGhpDAes2wJ0jWfIJk5WGQ9oyuG8ix+XVJkkzHMMqBZfbBG18PUuYGneP51QaPqAkum8iTya2xmqyKx/nI0eGuFpu0bQ9BtOWWs0EzucdewpcXGlQsz32FpKMZGNcXGmuBV4SJvoS7O9PMV9rc3I0G/AZatE5PHlwgCvBPRjOZJjIJyIHPJC2uGs817VCnuiL099BJpuKGUzFOgEzgkenCpwYy1Jtu6Qsg2xHnWsndkN3NmzkU5BkddCw4LndVYiSOVZ57F6/iAcMxbmEGUVMMVNxUDlBoX/V9XA9ScN2sV1JLmGoNBYqb95o+6RjOi1XSZQjFDNvte0SM26vPPmttvXMB+tvc+ezX5/SLSYtDg6mqbc99hZ3lkpcrtt84cwC9+7KcyJoKN2OXVhqkIrpLNfV2FhpOFGQsNxwKDUcle6Rkmpb9VFcXW0xkoux2nCifP96yyZM/s6T+1mpKeXC4fzbN0l3mudLak2HRw4NMVpI8t4TYyyUW0wMpPmLD0xyYa5KfzbOvfsGIofU2WguWEs7WYbOYrnN06fmWaq02DOU5kuvzJJNWOweTHURyW5Xp+lW2UQuwZ6CImztRTS63gxNYzJIV4fzRKdjGs7EGF63n8l16e10zODoOkaY9arRmZjBocF0wHLSAdoADg6k8YIsgi/XaJiAiLFfCMG+/lT03jgetJ01+qypYoq9BbUP14e9hVTUV6UJwR3bRIKut1B94NBQeo0BXigiW9mxDSgwwZF4Ovq8c8zETZ1DQ933KLxnnSjF8XyiJ4uGECqrdGCg93V0qnKHtp1UrCbEpkrcO7FtCQXC2iBzPB/L0LiyolIxraAAX2665JMGVpCvTJr6lrnwK6tN3lqoM5yJMdEXj6KP7XQe3yp7u6Dq32uLWMPZvIl0s9+9Nlfl6fPLPLKnwMmx7TkmpaTqMV1qkY7pFFMWF5cbGJrGRCHB9GoT2/OZLCaptV1WGw6ThSTLdZuEpWO7/qb1p+Vqm996+iJz5RaD2RiHx3M8dfLWpkxvt7mez7WVBqauYQWozUbbY6XaJpcy2TOY4dJijfnVJod25Vmtt5kcSDO72qSYiZHcimL+FlsoLBiOmJ2+M9++vMp3rpaiVF7Y66jYxX1s1ycVM6jbbrSSagXzh0T1W6UDGRRQcPiWo8hpbU9SbjkMZ2JdAa4vlZJvyDYvUT19EDaIExDJQsoSeD5RrSV0FLpQ24aFfSdgu0+YN0cIG5LLiuA/Uga9fh1IZE0EE2+Adgt7DHXBtuqLUko+9+YC6ZjBY1PFnt/Dzc1/IXpaiM1BIL0YO9bZpiewoxG+2lA09m3XR9MUtXu55ZAUOp5Ucg0t10cIgZeQW3rNXfk4/SmLtxbq/MmbS4xkY5wYy9CX6NZ2Cl+MiLGAUG5ge5OsDJ6w3/H7iAdum3az53ArLHzIXdcRnsN1jh/1w9zAcadLzR3H6EIIUjGDgx1Fz0MdEfBUR/NxwtQZCFJsI9tIUdmez96hNIO5GEfHc7w1u7U8ws08u0gRNxhDglujdmvoGrt7RKpTHfdo/0iW/SOqXySfspBIRgpJtOC8tnMO3WNGXUPnuIHtjZ3bMbqlhNlKi4F0jEpLraZXXZV+T8X0oLYk6U+ZtF2fK6tNtCANb+qC1aZDLm5GmZtOC9tNYsZa+0RourZGbCzl2nwACv1n6R1/e+o+qxQggXO6NfdD0zol0deOEZ2q7Awk1f928h6O5uJRw2/nO6AJpcXl+bJn3SyEfl9vXHgS/sVXL3DPRI7H9/fuUaq2Pf7Ds1d4/EA/J3Yo4rojx6QJgeNLMjGduKFh6QJLVz0IcVPD0BSUUQuWiVvZbKXN6/M1cjGDdx9QufQziw3un1jj6vIlzFZbnF9qsFhXCBOBWsb2JQxGsnEm8okudF+nhT0LZxbrzFRbNB0lMtefstjXn2JXPnFdPi3bU/Qll1abrDRsWkEKMmnqFJImY9k4k4VkxGLh+5ILKw2qbZdC0mR3X+/UWbnlcHGlgUBwYCDVJT0spWS22ma+2mYsF2cgZVG3Pd5cqEV5dV0T5OMGe4spDvSnuiIpKSUzlXYkOxCaAHb3JSO0US9zfUnddik1VV/FTNCD0ImMCk3XBFPFZETcWWu7nF9u4EvJVDFJdoualO36nFmqR3Qr20kTARTTMR7YV6TWcnnmrQUeO9y7viSlxPEl06UWl1YbLNftIGhSzrAvYTKajQcFcW3db5UDvLTa4OJyg5WA8SRp6Yzn4hwcSJOLGxteXs+XnF+uU7c9BlLWpkSkqw2bS6tNDE1wYCCt0syo6Pxs0Edyx2Aax/M5vVDncqlBrR0+c5O9xWTP8+40Xyo5iQvLDWYqLaptF0+qGk4mZjCYjrGnkKSY7JZP96XkwrIav52miY3j9KYsmPya9trqR6CcSdrSqbQkhoYCCcQNTF0jEajcthy1GoqbGrIhI0mVyGR3EBY6JzeoOZt6d2QqBCQtLWjBUN9buiB0Q+EqKn4D4pyd1pkE8n3lnEILgRYh84rbcQ2+BJ3u7bcyIQR3dWQ32q7PfLVN3fbY159ipWFjaAJTN1mo2uQSRlcNOhs3IzHXza9FMr3aYv8mDDegyjyXV5qcW6zfPsckhKCYNqPmqdDxRGq0wX/yCYVMut6SM2HqPDzZRzIQxwO6uqp9CS9Ml3jpWkVpFWkKgSVRk/pMBd5YqHH/rjz3TWyEeXu+5M2FKs8FAmThsr4uJYt1m7NLdY4MZ3hwoq8n+ktK1YT29YsrTJdaeFK9OGEhb6WhUD+zlTYTHc7Hk5LX56pcKTW5YzC9qWNaaTh88+IKmiYYy8U3vPCXVhq8MF3mvl15dCH40tklFmptJYEswA2a7CxD40CPwXGl1OCla5WupjshVN/PVo7p7GKNr19ciTRzQruw0uBC0HsRmqULpdQZOCZNCF6drbDadGg5Hg/s7ts08pqvtXn6/DII+PDhoU3PZ7012i6VpuqDmygmOdtDUE5KSbnl8o1LK1xebSphQLqf3bVyi2vlFhP5BOuxMNW2yzMXlrm02lAyHwFSqtJyuVZWHG2P7imwZx3Tt+dLXp6pMFdtc+dIdlPHtFC3+cbFFWKGxkQ+ETkm2/N5/qoar3FD49XZKrOVFoYuIh2jpbrNhZU6hysZHtlT6OmcPF9yar7KC1dLUQOmHoybStA6cGGlQdzQKK4bC1LCmws1rqw2Fb9i8Lm5yTi9URPARD6BL9V8kgxg0qAm5vA4nlS16z2FhHr3my5pSycdAAUm+hIbiutaQIPl+ii6LBmSGstIOTZMqQHRaiKUWnE9IhJYX6prD7e7ZWjWDSmw7v6vNRi8RBfclGyH4vGUZOMGhi5IWwYNR82JnpQs1myGMjEurzTIJW4MrNDLwpXeTgFXcAMrprAxL7xPG+6XAHGdNaeUkgsrTQ4EYlTnlhrk4gajHamcmUqLF6fLSAknRrNMFZOR1lOt7TFbbTFTaW8onIb7v7za4BsXV/F8n0ODae4IqEbans+F5TqvzlZ5dbZC0tS5ex36BKBme3zxzBLztTamJpjqT7GnkCQV5L4rLZfpcpPBdGzTQv2tsKW6zbVyi6brcf9EnsFMDENTkea1SovJvmTPHO+RoQxj2QS2p9QzX5gu4QQT9FY2kI5xf+DoHc/npZkyTcdnXzHJ2Lrip64JsrG1iS1hauwtJnlxusz5lQYnxnI9JzJfSs4vN/CkZDgdi1J51zPP93n1aok3rlWwXZ+Vms18ucWxXd19ZU3H5yvnlpgut9A1wb5ikr3FFOmA56zaVg4mFzc2UOe0XZ+vX1zmwkqDlKVzYjTLWE6trCsth9fmqlxZbfLV88skTD0ivbyV5vqSZy6s4PmSu8Zz7OlLquZ02+PV2QoXVhq8OV9lPBdnf3+3/LiUkjfnq3wjCC76EiZ3DKYZSFkBx5pksd5moWYz0ZfYcO6agId293F8JKNYWqptXpntzXt3MxaCeUJFKG3dOxTNL4E5ZXYAACAASURBVOu+L6a6U/29dL4Eaiy2XRnVbBJmKGUuadpKDTmcgH2pgA9h6iwW1JFiBrRdSbMDFKHdhF9WYLEd/obeCgFt16cZUCRdj3NUrRZ9fCkUt2lTpU4LSSXDXm46xE2NYsqi5XpbaqeFZNBhetiXoTr0xu3OLtZZbTibZrS2sttSRW27gbJoj+uTEpYbDq/NVrm82lQFTwHv2Nu96pkuN3F9yVg2zgMTfYFstNphf0oyWUjgyY1s2GFR9bkrJWzP59hwhkf3FCIZbSklQ2k1mbw4XeaVmQr7iqmuVYQvJa/MVJivtTE0waN7Ve9PWF+QEshJDg+ld1x/2aldWm2QT5g8dWgoim7D69jX33sZLYQgGzfJxs1o9fDyTAXH9657vsWkGR2n6ficmq/SdHxGsnGOj2ytnSWEYH9/itdmK5SaDjOVFnt76Ae1HJ8rJUUHMxX0lmzHpFTM7ctVm3NzVWKmzhNHh9Zto1YL18otdCF4aHcfx0ayUfNlWHMMEV1i3W/PL9e5uNLA1AXv2tfPno7Ju5hU6b8vnFnk8mqTb19Z5alDQ9sSQdyptVyPR/YUVF8JYWOmpJgyKb+u0qwXVhpMFVNd71ml5fL8dBnXl4xkY7xn/0AXsEhKyZ5CIqpvrDchBMVABl0GTBmv3QbHdKO23R4bXZMkrY1Od/1noJxgr89D59T92ebH3Uaxf8dBzGbbXyu3eH2mwn27+xjOXkck1fXJxs2AVkky3oFkzSeMiJG8ly5Wp0kp+dypBV64UsZHrd6/fHqJV65tHB+ev9YYfWx055p723ZMO0VyuP5aUbKzyCyEesHfta9AX8IkFsgpr39JQifsyVBOY22DiINsi4e23LCJGxrHR7NdNDJhpHbHQJpTc1WajseVUpN8B3NF0/E4t1QH1MR5aDDdtbwVYd4SbtXCfku7ezy3oRaw3eewgUpkJ9uLLb7bxApB7ebSapMzQXd+58Sp6metqGlxfTpsKzN0jXcfHeKB/cVIeGz9b23P5/RiDYnquzg2klnHAbd2YeuP6vmS0ws1fAmTuQS784kN9zxmaJwYzXItSOMu1NqMZreWOrgRKyQt7hhMd0OhhSBp6ozl4gpyH9S+wrEppeTiaoNaWzWZP7hbEaV2Wnie2/Glf55Rq+tXkXOVNsPZ3qvb1Yaq954cz20YEzu5B7YneXm6zNGRTJeE+W0x2V2z2sryCZOmo2qUaiFw48/18HCactPlrQVFAVe3Xaht3E7TYHdfgicPDey4RQWu45h8KWk7iiZ/rtRkKJcgtY2msrBA2XYVgiVpadGLIIMNJgKvLYRgqa6KcZ0v0Ugmji7KLNTaPHNxhROjWQpJa1u0I9PlJr5UDyS7yQBJx3SSpk7L9VkKyBrDvS7XHRqOhwD296dvq0zF9Sxh6oznNqZcvl/N0DUODqS5vNpkutyk3HK6FEt9CReWVe1mNBvfMHFez1brDi9eXOH9J0Y2nWRqbRcB7OtPb4teJbSG47PUUP1RE32JTVcUg+kYSUuPak6jNyEDvpkNZzaKcobHD2t6jie75CF8SaTYWkhYDN/ChuLvB5uttCkmlXyN50vemq+xVLc5MpJBA974f8l77yhL7uu+81Ph1cux+3XOYSIGkzDImQTAnEVRMiWSkijJso9l+uis195dpyOt7F3be2SvFWxZtCTasiSSEkGQAgNIEARBADPAzGBy7J7O4fXLqepV2D9+9V6/13kCSOrsPWcOGt2v6v2q6le/e3/3fu/3u1ikI6Qx3BbgynKJSk0U8hVZ4kun5znaF+WegRgrJYOpTIWhhJ/emJ+Li0UCbhP0hYUiBd1EkeHunshNSfMUdZNU0cD6EbS63IwpsnRL6bS1JkmipDHSFqBkWPyLv7nCkf4I79kAgCQheP2albxvxrYcbaZo8OyJaaIBDzeWS/zsw8M7ckyaIqFISmOxb3nBHYfziyUUGebzgqZmpVTj2EC0ZZHqj/nY2xnmwmKRi0tFJtJl+qM+xpMhUYTd4oLTTUq6r9zIsNHUsh2ouNonFbNVfTGvi0jUq8oboq9+lKYp8o50Xn6SrC8mHE62IiLRuH91t1euWczkKsgS7EqGbnrH6fPIzGUqnJ/N4/XIxAJai+BkwbAa/Ilx/809u4JuYrpUT1uxXKiyQLblq2Zjrt1pC3vVTe9N/ZLWrn8ODrmKGE9b0HPHithvt01lKlRqVsMJZMo1+uM+Mm5T9mAiwOSKEAt8fLQNTZWZTJe5mipx32Acv0fmubNLDCb8vHw9Q0BTefHqCu/Z10HcL+5DW0DjSH/UDSgkoj4P37mywqfu7aMj7OXSUpGDvRFemcxwT3+UyXSZ9pCXwQ1UBJqtTn5asx0W87rLMmGjSKuoRp/LJN9stuM0ZDVkJDRV3vR5CXSw+KwiSRuCtZo/K5qCHRwcV81XbmlzsGyHas0SDPkbnMuyHVFrkuWWEkrd6jv3wYQfv0e56eByJ7allwn7PXzkvgGCXpWVok40sDO2BN100F06dAeI+JSW1MFgXKR6xpMB/KrMbF5nDSGyqO0MJ+gOezk9nydVMri6IpBhiYDG/s4wezqC67amdQQK0ODJ2s6ai3eO42C4RVPV5d/7cZoq39k+kh9FLBfwKIwkArwxm+NqqsxdXRG8qqhvzOQE3D3q82yr9rmReVSZaMDDqRtZAPb2RhqOyXFfdgeBQtsKTr2R1SwbGwHy2YrFRJJWmaird4jcc63dDItK3QTMXTxh33YU3z9Blq+aXE2VCWjieR3oDnM9JQhGj/ZFG/yQzdmPdLlGX8xPZ1jDdgRhaWfYy57OID6PTMSr0h8TiD3DJQUIewVi+LXJLJ0Rr0CLOQIoUb/TIU0suPmq4J/bzgzL5uRMnnylRtW0sR14fTLTiB4k4KGRRKOGXa+BX10usZAX5LCKLEhbxzuCDRXdupm2w0SqzI1MmWrNRlMkuqO+DR1KpWZxdblEqmRQNiwXUSoRD3jY3REi4gbZhmnzw8kMIU3l2GCsxSE6jsN8vsrp2Tz7u8IMJjZ2zJIEz+xJbtluczu2pWPSVJlsyea/ffcShmXz2XeMb9ufBCIa8Hnq2iGtkZ0kiW3lvo5Qo5GrGSra/DmPIqg/hhMBZlyY7my+Sqpk8NL1FW5kyrxjvL2R2gAX+ukuv50hQcWz3dIuHljzd68/1522etPbj9p+VDH0eHuQswsFVsoGiwWd/pgP24FrKZHGG04Ebmkn6NcUdvdEOHE9TSKoMb6Gubh+fXUI8M2Y7AYBq824m5izWgO9lbjF3sHAbvU51efuTr7jJ8WSIUGkWjVtuiJerq9U6IsJAlefR0ZTRVM/0iqSbiDm54UrKWqWzUhbgN0dISzHwaMowtFIq/INiiThU2WOT2XZ2xmiaFgk3Z1O1RTM93P5Kgt5vanxemdjV2WZ8WRQII1XyszndQ72Rpr4OCVC3tU1s2Y5nJzOkanUGIj7iQfcBuJ0heM3stwzEKMt6GkAVSZXBAKzPaixqyMkgrtslaJurpuhti0Qd3G/6HVTZYmVUo2pTAXDzHPfUNwluJZJhjSmM9UGaXLdHGAuK4BDAgyx+Y0YT96eUsJWtm1erqybDCaDzGcqmGt51Tcxj0sPYrqLb3NjmIAuOg3KDRAKlgGPsiG6pM7pNNoWYDgRYKVscHouz+XlEpOZCm/O5nh4aFUhV5FWo0W/R+GurshNeXXJncQSIoK+U3T3a82w/vYsHDdrdWRXV8TLjUyFqysl+mI+8tUaCwUdTRGNubdiKwWdH15O8dSBLmbSZV44t8iH7ulrfK9XlRuUM1XTuinNHr8qhBUN23Z3/BsfayOE2QACnpvP3Rvm2/PsxdxVyGFSuoXekR+XdYa9LQ3Wwxu0gDw43Ira7QhrvGtPkoJuCuqdsTaWijqqLONVFd61N9lYUhVZ4l17k6TLNfwehfff1UGlZnNXVxhFlhhM+OmLiV3IU7uThLwqh3p3tm4ostTg8ZvL60hALODZsLnccUSz/nLJ4K7uMCNtgYYD6gh5+eFkhktLRe4bjKG68ukTK2XCXpUj/dHGLqkz7OWViQyVNaS6AU3h/qF4y267O+qjZtvM5fRGurTOoTeVEb18UTflXacSWynXSIY0/JqyqYPennHn5sBya23bt6or5ufx/V2sFHRiwZ0Tn1ZNu8H1tBaX+/WLqUbTGkCmYvLI8MYaR3Wro+k6Ql4eH21DkkSxczpbRbfsltRFR0hjyqW+N0wb9SbZxGN+j1BntAQkMhlcL8O++ThXa2rNQlzNJiDctUZH94/SbmZJvJ3dlSwJMs3pbIWpTEVw5+WqlGsWfVFfQxDt5k1yGz8dbHv9vY34PGiKTNW0WSoaNwVMCHtVAh4Zw7JZLhqMbKKdVa1Z5F1mhI5miK202jS5mZBd/dm/Ha5JliAR8LBY1EmVDHTT3lGG42+jSZJEIqiRCGqYLllrd8TnNtLSoDarZ22CmiCAdlxQVMy/yr7QF/Nhu3x09d2S36PccdCT7cBiQcenynQ3ITlFFkmhI6Qxm61SNCyiPolC1aRSsxhtD7aACLyq2PHkq63sHJIkBAYFS/1qKcXv9n82N8xH/R7ifg/z+Sqj7YHGPFkq6NQsm96ob8v3v96Gops27UGtsZM1XVDKtVSJ9qDGYZdF/WZtW8e0mKuQK9fY0xvZcTG13oQl1V/UNYcd7A7T19RMu1DUbyqto7q0QhJi4q3t7xqMBzg9n6egm0yky+zrDN3UIpgIiIe2VDQ4v1hgOBHYccd7Mx1TQReSAdqaApqgOVpP8fOTZoJlQoxdCBPufPchSRIDMT8Rn4d8VfQ0CQomGGsL3nJuui2s8dCudr7x1gLdMT/PHGhVHI76VNqCWoOhYVcy2JLq3co0VWYwHiA7n2ciXeZgT2Tdc3cch4l0haopBNh6m+pk9ZQRCHYS03bW9ThVTXtDeqc7YRICTXhpuUiuWuNauuymzP92gCBux+oOqd4AayOCvjrND6w6HQmo2aBKguWhzhShSCKNa9kuj90d9ukCdCBIYTfqfQt5VSx31xL1qVTdOn1AU9Y8Q0nQM21w/qWizlyu2tCis116rbWBkCJBf9zH6dk8qaJBr5tqn8vphLwqiR0Eji9eWeG7V1f4P54epz0k+t5euZ7mD384jeFm1x4ZTfBLDwxsWBPbyrb9tM+j8NqVZZ49MUNZ31l6QJGlBmNuXWm12QbjPlRFavyL+tSWBcB2HCbSZdJlo6Gx1PyvZFhMpss4iIXIu6ZPqTPsZSQRwHbgtakM19NlN4JYPYfp5mOvuXxtzaYpMnd1hZElAVF9eSItotw14ygbFosFvSWfLyGkkyVw6WPKrqN2GsX5M/N5Fgtvz+K0doz1f6t/3/gzG5nH5VUDmMpW3RdlZ8eCQNCNus/hkluUDbjF5VtdLA3T5tSNLIWKydWFItNraJJUWeJAl+hdWi4ZfO96mkyl1vIMHEfo8ywW9BbgiwTs6wwR1BRSJYPj09lGSq/+by5f5eSsYCQZbw+2IJJkiUZKaqGgM5WttHyvYdqcnM2x4kLS77RJksRgzE9nyIvtCGbvK6mSWJia575lkykb5N05XbeN5477N1h3D9c++w2PZ/V4Z4PP3LlrpyEj0VxfrJO21gPl+jdKCOdVP66OWpMkGqzZd7oiuzquzUE1zWOv/3ftp0Vtfs25HYdrqRJvTOWoGALJeFdPhCP9UXo3IEeWJImOsBe/R2EmV8V2oFAVHJmd4e3ZbGwHLiwWCXtVwi5SO181+fJbC7SHNH7jyRHeu7+DVyYyXFkubXmujWzbUDIa0BjvjtDfFtwxX1N9++xxOb7WBsdzecGokK2Ireh8QXfJQIVzsh14YyZLplIj7heKlkFNABSKLp1MulLDq8gc7ImsO78iwQODcQq6yVxe5xuXlkkGNeIBj1B4NW3yVZN81USVJX462kNzYCxJEruTIZaKBucWC1xYKjKTq5AMegl6FWwbCobgbJMliU8c6mlQpkiSxEhbgDPzedKVGi9eE5xrbQENw7IbTZm9Uf/bFjlPZipcXyljuDWyqmm59RZ4fTrD+cUCXldyIexVuac/tg4VCeKF2JUMMpOrMJ+v8tyFRQaiAumkmzY12+GevuimPRISMNYe5MxCgems4Kzb3REitMMdzEaWLhoossRvvHc3s5kKL19KsdtlpBALi7j/dxcjnJrLcTVVYj5fpSOkEdLUBiVR3o0of+ZwD4q8KmLYHtS4fyDOSxMrnJ7LM58XRLqaIpEu15jKit1ST8THPX2xdWSh4+1Bzi0UyOsmL1xJMZQIEPeLAvecC9zpj/qZzlVu+R5sZV5V5uHhBN+8vEyuavKtyynagxqJgEdQ8rhzP1epce9AjLu7V8k1bQfOLxZYdKXEDcumZFhYDkiOwwtXUvg8Cl5FQJY7Ql4OdIUbQYZh2ZyczZPXTQz3+KwLX89XTZ47v4hXldFcmPJoW2BTLsmbsXpcKikbtKe4f1+buFFdh7UZeEXZYPG//XGKGmjFJUxdm4SpGJabcRGD0po0pJqzFc3o07oZls3kSoWApnBsMIamrDLdLORbyZzrJlKKXqYyFYq6ybyrm9W7A7Ss4zikiga7O0NCWsRxODWbZ7Fg8GsPD3K0P8pwW4AfXM9weanEXduwxqy1bVeI+WyZc9M5plIl3nWol47o9vtb0Vi1+d9tBybSFZchWFnHtSQhhMFSJYOFQpW5JqExCYGeSgY17u2P0R9bH31Lkoj0n9ndwYmZLFdTJRaLOvOF1QckS2Jn1BNdTwIJAsDx8HCCmM/DmQWRFizoq9G5hJhoGz3EkKbw5Fg7L02sNNjNoYTknndvR4hDvVH+5uISZcPa8AVQJAmPSzx7s4HbYkHn8nJrO7bi1uhKukWpaecb9qkc6Yuy0ZfUF9pMucbZxQILeZ15d5JLiLz9wS0mnKDR8dDtgiBkSewybqe/xudROHUjS7poMJ8VBKf/84dT/NR9/Y3ASZVl7huIEfapvDWXJ1+tMZFedQT1Z9cRWs8EIEkSeztDeBSJ16ezLJd0Four1+xRZPZ0hLh/IEZwXYpF7OCfHGvn5ck06bLBxaVi41hNlTnQHWZ/Z5jnLiyJed90uIR43poibUmC3Jgbynq8qSRJdIW9vGdPB69PZ5nOVlgqrl4D1IXzZAJrAgQHhym3Jths9XpwtlKDymrfVqUmKL/qVrMcrqRKFNcwk9ePXyk17RQlUdO7E46pUatx/785fl4bS2/1N2iSoriFKVpv5q5Zq6WMtd+dDGlcWiqSKdfwReSG8zAsQaYa0BTRw+ail72qTKpkMGoHhBOVJCzbIV1q7Z8zbTBtm7BPa3FKNdshvcUOvTfmZypTYTZXZbloEA94Gjug7cwGvC6lnGU7/OB6hmRI4+6ecKNu5vco65jqd2LbCgUWqzX+6vVpvKrMB47137FiatWlyHBYpbGvF8kchJhaQTdJlQyKuiXSbe4L1RbQSAa1HXUVW7ZDXjdZLOjkqya246CpMlGvSntQI+hVUKTNe0YaKbuiQaZiULMEc3rAo9AW8BAPeNyHs77IXTVtFgo66bI4rk762R7UkCXxYtuO+P3aXgLDclzlXtEXtOH5azYlXez6ogHBhZUruxINPrUFgm/ZDsWqSWRN06kkQXCD86+9h+mywUJBp1wTUZ3fI5MIaHSGvFs6GsdxODGT44c3MiSDGh+6q+u2GKqrhsXzb82zUhBsHaMdQe7qj9EeXp8TFyk7m6WiTtoFwtTvZyKoEfd7BAJzg2uvHztfqJIu17Bd2YuusJd4QNtWLqV+bMZV6g1oCt1hL4mAhiSJnpN6/aD+nGynLgFOY2exkRmmjb7F3KiPwbTFYnd+oYjmEX1dmip6fJJBjZBXXTfvqm7P0E5MkaWWRnfbfVd2mqDTFIma6VCoWo33MvG3qDF4rc1kK7wxnaMn4mM8KQIw07YJe9UGLVrZsHhtMoNpO+zuDBF3Fbqvp8osFnTu6gkz6PIz2o7Dmbk8U+kKw20B+uOCYX02W2U6I3bu9w8JrryaZfOD62mqNZtDfUIavlqzmUiXG/1Sj44lWlhYQLzbr9/IUtRNqjWbAz1hhnaAmLVsh3/97WtIEnzu8WEmVyr89reu8szeJD9ztAdZkijqJv/0q5e4dzDGJ4/1bnSaTR/0tq5Rr9muRoiEZTlwh5p8q6bN69M5dNMh5lO5d2BVP6QemSYC2robebNWb16L32J3siQJ0bsRrwrsPLqTJFGgHE4ENoS/ApuiVQTsWdqyYFjUTX7rr89TqJoMJ4P8/afHWchW+aPvTXB5vsDv/cJRosHVa14u6PyPH9zg158Zx7uNY3Ach6W8TiKk4VFER3ryJljAm81sInMcabu13qVmK1RrXF8qcWgwJgAWbQGSm5BY1nvkhhIBhm7ye+rHjrYF2UAEdMfHssmxGwEyZEnaEVBDU+WW7n/bdsiWa0QDq4t6vQ8w6vMQ93oY6wgQ3ULupH7M7QQNsrRz6hvHEQ7pymIJv0dBUyWqNZtYQGV9Wf9vh3WGvfTH/MznqywWRE+UR5Z5YDhO2HVMfo/Mkf4o5+YLnJ3LN+pZmiKzryvUkgGSgN0dIQzT4UamwmS6giJLRP0qezpDvNVEHqDKEns6Q5ydL3BiKtdYsxNBDwe6w7w5k9twzLIkUIknZ3J4VXlT5eiNjjs2EOWPX5/hd16cYC6n4/XIPDbW1gi0spUaBcPcUmZnM9t2FuXKBmG/hz090S2pMHZq9R3aRLrCrmSQvoiXN2cLpErGhkW6jcyyHaaX8nTEAgSa+gUsW0CIPapM1TCpWTZh/+05NgC9ZmHULMK36SSBO1bwnU1XmM9U+d1fOIrXpTMZbA/wa+8c43/5s9MtgBPHcWgLafyjd+9aFyFvZIZp8wcvXONX3zHaWPRvBawgCFt15vNV/B6ZsTUSDbdikiSRLRvMZysoskw8eGcipbJhsVDQiQduPYjZyNbe45lslZjfQ8ircHm5zHCbn2zFpD3goeL2zAU8ckNHKbRF8FI33bSZzeqEfHdOS+dHYbmKKRpUuwJvG4PATY2nXKPm6jnEgx7KhkXFsPFrMrbj4HFFUSVJBLwlV7wx6lfJV0TD61AiwHBbgKppISG5KdPVZyhJEhGfyr1DsYbityJJhH3qut17vS/vSH+UfFUwS2iKTMRNtXlVucEMXgd9RX0e8rrIDPlURaTlHId7B2Mb13bd8ciSCD43UrXd2CQeHkkwlanwxnQev0fmU0f66ImuOrZrqTK2fWuNuNs6pmTEh207zGXK9LcH8GwP5NvWTs+L/qPLy2WuhzzM5XXG2m9m8A6nry2xqy9BXzLMpek0vckQs6ki12azvOe+EaaW8ng9ClbU5tpclmjQy2hPrPHgJxZyZApVuttCzK8UURWZgY4IE/NZuhJBoX6br9KXDLOYKSFLEqPeGJemhbhfVzzI1bksI91REmH/jnLSjuNweirLl16foVg16UsE+HtPjwHwxdenOTmZJexT+eRDg4x0hPifr05RMx0uL+QpGxaffGiQQ4Mxnjs5zzfPLHBlsci/+vI5jo0k+PCxvgYacu13npvN84WXbyAB//yj+/F5FBzHYaVo8D9emWJyuYgiS/zKk6OEfCp//NIk3zizwEpRJ+zz8A/fvauFj26r66u3rDmIgverNzLUbIe9btridk2IyqkUqyayJKLsO2EODpeXS6iyxDt3bSwVfdPndISS8PWVCruSAW5kRB5/T0eQMws6mbJQOb6aKhPri/DWXIGiYfHQUIxrqTIdYY1KzeLaSoWoT22ktIcSfnoiAnlXMSzSpRpGzSZbrqHKIucf9iktrPoOwvnqNbshzCdAAasFdduBsu4W5lWpQWxa/0zNsqkYNiGfgmE6VN36qF9TGkFrHclXdjkLVaXO7EKj7lExbAxTpKHBIV8xxSLukQm6LAnbnQdE6rBQMQl6BS9nWRfpUa9HxueyP4gefpH2rrrZn4BX2ZDyqWrahLwqhmkLp1GzaQ9ppIqGaNp2a0eOey+8qkzFsNBUmXLNIhnSGnU/Sdp8rkuShCpJxHcQ6Nb7Nzf6bPeaQF6SJPyagn9dMCPRtVk/nyOEIwF6Yzvv+ZMksfv7zH39fPSgYLNfW3Pd3x3mX75nvKU1aKe2rWMqVmvcWC4hSRJl3cJ/G4iqug3EfHSFBUrNdmhB5O3EFFmmLeIHCbLFKhemVjgzsczBUcFy61FlKrrJcrbMSr7KQrrEqWvL9HdE8HoUbMdhajHPy2dnGOuJs5KvIMsSr16Yo1AyiId9hPweRrpj+DwKRs1iKVvGr6mcv7HCIwf6WMlXOHN9mRuLOT76yC52glBYzFX5t89d4rNPjjDWGaJsWGiKzLNvznJuJs8/eGacqwtF/u3XL/FvPnE31xaLLOd1Pvfu3ZyZzvKH373Ov//kYZ7Y10Ey7CVfNvmN9+7Gp23dDLi7O8ynHhni//zKeWy3fmA78Lvfukos6OFz795NtWbRGfXh8yh87L5+3prO8nffOUZ72LvjXUmlZvP6dIY6H9dcvkquaopGu971kgI3a44jGgN/7akxHEcUe68tbsC5fwsW1FQG4/4GuMNxHBYLBtO5Ksmgh4G4n5lsFd20yVVNBuN+2oMell3Kl2rNpjfmZahJv8kBlooG5ZrFfEHHth06QhrZSo22gIZeE71QjiNYwrsjXkxb0HmFvAoVQ4jB9UV93MhUsG2H8WSQlZJBj8v1tpDTG84kVaiJFI4s4fP4VhVRHVjOG1TchdkwbfyawlhHAI/LYVit2UymKhimENGrWQ4Rv8pgm79xnrJuMbFcoTvmZSlvuLVgh76Elw53Z12zHCZTFSqG2E2YloNfUxhO+tFUoQibKhhUahZl3Ra9N3kDCYgGPA3HVD9PWbdQFXGegFdhsF0oDkuS+N3EcoWumJd0UdTyLFuMeyQpON4c22E2m8tefgAAIABJREFUq7NSMFAVqaFiO5T0E/K2LqQCFCOCn5or9S67iD5ZlrAc0V8jufe0vhvyKDIFSYBRNhLt/Emz5l182bCYSleI+j3rpHW2s1WnufH60B7UaL8JUoZm29bLOLips5XSHUkT1JFaNzIV3pjJU62JYuv79yV33IRVNUwuTadpzwcIBzTKVZNwwENnPMAblxcp6yZzK0WWsmUODCcZ7o5i2nbjgdRMm4tTK3g9Kj6vSl8yLBZsN9TfO9hGvqQz3BXF71WZWykytZhnV1+ccrXGjcUc6UKVmmnhUXbuUK8vlYgEPDy8O9miofPDKys8daCLwfYgnREff/LyJHMZob766J4kQ8kAsgzPvjmHYdpEAx5iLv1/W9i75ctQrzVE/K2TTq9ZvDWd5Xd+/gi9axiU40ENjyoTD2o72inVrWbbXEmVGlQpqizRHfHyyHCCiPf2WdqvLRbIV0zOz+bchclGr9nce7NFoB1YtiKg1kf7orwxk8ey4c3ZPF5FYiDu51uXU3zork5euJLinr4op2bTDLe13kcJiHhVFEmiL+ZluSjYsntjXuZyQh+oatqoikS+atIW9DCxIpyccCISfTEfU9lqQ9wv7FWQJfGyh7wKo8kASwWD+azOaIe/QTrcfKvrTZbjnQE8qkxZt7i8UCJbNmkPe3CA6bSYb3t6AiiyUEi+slAmpRl0RleBJYZlky2bjHYE0FSxWDckbRyHuYxOzXLY3RVEVWUM0+bKQpn5rM5Am2Bm6Gvz4TgwtVKhYohxNTfiO47DbKZKtWazqzuIpsrUTJtrS2Vm0tWG06lf21LeYKDNJ3ZOa1LYmXKNVMFgtCNAQBNB6Y2VClOpCnt6Qmu0wiBXFim5RNBDoQqpYq2BHq4YVgP56fOolF3nGw3INyWv8uM2w3K47OqOrZQMIajaE/6JSgNv65hCXpUHdydJhLzMZyqE/RujZmy3gdCyBbpmO1budLnGga4QWbeXqGLaxLc8YtU0j8LPPLnXpeCQuX9vN6oio6oyf+cde/FqCk8dHcJxHDyq2E3sGUg0xqSpMp965q5G3hhwJZglDNNCkQXfmuL+7fFDA9i2g09T+fjjexo55ppp47mZupu0cV1HkaUGZN7BaVA5SZKEz90ev13zfqPx3Op3BT0KT40nKbk8cmGvSmdIYz5b5dXFNPePJhron2STw7Nth9lMhZ74xtD9unVEfThUCXhV7u6PYpg2b01vXNS9XUuVDBIBD3s7g1iOKD5LwKHeCB0hjbfmCqKx2hHRfdinro/AJYnRphR1M5Cnrenn5qjyblft80ATDH+trEAzwEBqgjZL0sYwc0mCZFhrpLeCXpF6qzOjV2siddUb92G5u456P02uYtIR1ZplOklGNPyaOFfzAlKzhCNoD2nYiJ0ZCD22fMXEsmmkuhycBrmyvGbcpuWQKZn0xL0NQlbFI9MR0ZhO6ximg9ez+vmoX23wvTWb7TisFIUgZZ1lXNw/hdmymIfBJoJVWZII+1UXbg2JoNqi9OvX5JZdfz1lJkvQHvbcVEbAth3SRZ228MbihRtZqVpjPlNhIBlEuw32eMdxyLt0QgFNYV9XmPbQrVKENZ2zUmMlrzOQDLakkW/FdkBJVOXVK8t0Rf2UDYv+9gAh3yqFe6Zc48ULy/zgcoqlvI5pO3zm0SGediWvy4bJ9EqFiF+lq6nnpy4UuFAwyOsm4zdRY5IlqQX00Nz463dfWt+afGfzYxQL/saXvtENbU5f+psWBc9NTo6xzhCFqsnzp+cZ7wpT1E3u6ovw5L5Ovn56nr6EnysLBUJ+dd0uZidWqNRYyutUaxZL+SqaKnL2hYrJcqGKXrNYzOt0REQ/0D3DCb7w8g0+dE8v1ZpFT8xPR9SHRxGBxempLCMdIQbaAjsCvqwUDU5OZAj7VEY7QpyeyDDYHmSgzc+52TwOcG4mT9hl+njp0jLJsJfB9iBvTefojPo4PpFmOa9zbCTB8etpkhEv940Ikt6I30PIpzLsTnzbceiK3fx9Wmv12lg9FWTZDiGvSq5qkq2KJu2OkEauarY4Tk2Rifo9ZCo1HhtNbCpK+eM2SRLBWDPaS24Kkmqmg2mJXcp8thkcI2pVzVyXssSmEHvLFlpAS3mdVLG1d0ZkQ5pOtIVZLtS9OYMiSWLXYrq6RM37eL+2ydx0BKq4UrO5vNDKPuBxOeVWr1WkAD1KaxDY7OfXjnzt3wzLQZacLSVL6t9ZrVn8129f4XMf2LdjaZ2KYfFHL1zhl57axXBHaPsDNjGvKvPAUFw8DQny5RqvX17mvl1JcS1S8xzYOVirUKnxe89f5B9/5ADttymeue2blAh5aQt50U1bMDk0paAuzBf4V399nlM3stQzYZIE7yt0N47PlWv8+hdO0RP38Z9+/khTlCEasB4ejlE0rFtG5diOw4lrab74+hQ3UmVUWeLocIJffecYgbd5oagXaOu7m+0sGfbyv39oH195Y5YfXl1hqD3I/t4Ij+1LYlg2f/GqEGX8X9+/l6BPZXd3mC63cBjQVI64tPUgtLKODLUyD3zn/BKnJjN0RX38+avTHBuJ866D3Tz/1jznZ/N0Rn184eVJHhxv58n9Hfzdd47y5eOzfOEHN/B7FD758CAAQa/CZ58Y4Wsn5zk5meFX3jGKpm6fKy7pJhG/h3ylxlvTOQ70RXlrJktPzNegbWoPe1ku6CzkqoR9Hg4PxbFsG9O2KRsWr15N0x3zUaiahH0ecuVay3ImS1KDZUOWJBKhneWwLVvQCSmSSC+ufV5XU2UuLwt6quPTOY71R9nfFeKla2kSAQ/7OkMYpo1PlZFliYG4j5rtiMbrqsl8XudQb4TRtpunWyoZpuj/aVoDgl71puqu29lWI6pDi4faA8IRNR8nbbCD3uRkkiTO1ZvwkVhTlxT1m53dF8ndS62V7rAdsZPbYE+42YkEsW3QQ3/Ct+46mgNa03aYzJSp2TYhTcW0HTRFwN+LuonliDlk2sIxhr0quil0niqGhd+jUDEtfIrMQDywqXR9tWbxx9+9ilGzyZUNppZLPH9yFkmCpw72cHoizUceGOJLP5zknrF2Xjy7QKFS450He9jXF2UwGWrs0v/q1Ulm02WOjLRTMy0uzubQaxZPH+rlxbMLDTHADxzr5/jVFEvZCvfuSjKTKrGQrVCtWXzi4RGeOzHF8asrTKdKfOzBoZbxvnUjw/fPL3BtocBn3jHOxZkcMyslDg+3cfdQnL969Qb5So1PPDxCdzxA9yb6TTdrO3BMGp98dEQ0whpWA9GVKhr8sy+d4/xsnoMDMY4Nx0mXDL58Yrbl+GTYy1B7gDdvZJnJlBnrCGM7DheWioy1BwhpKpeXy3SFNXp3wCrRbI7jMLFU5B/+yZuE/SqP7u0QVEg7SCXeCZvPVvnKiRk+++TojuiaJEliT0+EPT2RdX97z6Fu3nOou+V3HznW1/i5Pezl154aa/x/f1uAv/f0eMvnP3i0lw8eXd/I9vH7BzYcTzSg8ZnHhjcc572jbTdfu5HgRqrE7q4wwx1Bzk7n2NsdYamgU63ZrBQEW0OhWmN3V5iplTJvTWXpiIjAJ1MyeGJvkuWCTltIYyZdXsdOcKtm2jYvT6bxqTIf2t9K/CpJEruSQXYlgy2/P9gT4WDTs7pvcJUB//GxNqbd9N79QzGurZSZyVYYbbv5F3M6U+XMXIGpbIWBuJ9MucbhvgjHBrZm3G+MH0mgxW6xE8HrEaSiZd0iHnRTYk0n26mj9SgCDVesWnSENST51s6jKhIBr0j/1R2c4zjkKiZeV59pJyYBIZ9KrmyKnqImRoS1e7d6gClLEtlqjYGYn1TJoKBXCWgqmbJByKviOILhYblouGlGoXZcrplEvCpBTd0SiHR9oYiExMceHOJ3n7/Is8enxbWVDM5PZ5lJl5ldKTGdKtEe9nFxJstAMsTXT0yzt3e113MuXWYxW+WXn97N7zx3nmTEx+7eKLGgxjdPzaG5AdRIZ4jvnJnn9ESaI6NtfPX4NG1hL4/s6yRd0Dk/k+Xxu7oJ+TQ+9uDQumf05rUV7h1PNkQT5zPlxneO90QYSIZ47fIy56azdN6B7EXdtn3rm7f/9R2I4zh8+9wi52bz/NSxPv7Ru8eJ+j28cH5pnWOSZbEYv3w5xY2UcEz5qslkpspKWfDdBb0KbbfYj3JuJs9Socq//pn7eGSP2IoKDqy3t5DnOA6vXU3x1Tfn+IUnRra/kT9mq5kW+ZJOPOzfku7mdiwR1Hjmri563aipp2mi7nMX+OZm2Cf3dTR+/vi961O5T+ztWPe7nyTrinjZ3RFkMl0h4lPZc4vplT2dIaJ+lbNzKo+OtTGfr3IjvXMuvYAmRDnnczoRn4qDQ9Sv7jjP71EkumNeZjNCGlzwQQoWh3jQ0yIkt5XJEvTEfEymKkykKo2xVAybgFchGd7Z7laWoDvmY3K5giJXCXoVyobNSqFGf8J3U+92R0QjVzG5tlQmEfQgS1JDXbsvsToX6/Lr9dpX2bDoj/nJVWtEfR6CLnBCdcXlOiXB3uH3KGiuQ9YUmaJhEkHddIfqOAL16FHlBo/oweE2hjvDtIW9vHxhkedPzrKrJ4osw3hPhKcP9RLQWsVMxXlWM1g4wqkqsmCM8HsVvLbSSH8OJIO882AP7zkq8+zrU7SHfVQNq8H3aboIaZlWBYGRrjBffvUGD+/tJOhVG98B8N0z84T8Hvrbg4J84Q7a9qg8N+JZ60mPX8/g9yj83EMDRP2bwwwloD2kUbNEcUySIOZXeWZXO2GvsiHf13Zm2Q7L+Splw+LKQgEckUa6PF8AoDPqa9GOstxCY74iNJBCXpVkRFDpbEz1Y7GcF1G+qkhCuySoIbtkhYWqSbqo8+L5JUp6jSvzhcYOLRESSLZbbUhdzpYpV2t0JUJYjk2uWEVVFBIRP3OpAiG/RsDnYSlTEkSaiRAr2TK6adHTFiZXqpIpVOlpD6MbJiv5Ct1tIaqGyee/dpJf/fAxQneg6XgjiwU0Ym+fqOVPnHlcEuE7YXG/aLD985NzKJLEY2OJHR9bh1GnCgaFilB9DflUVMQi7/corcGIVN8l1RF8AtDgUWRSRXGOer9Pc51HlgUV1WZ+QZIk4kEVRQ6wXDCEIiwCJLBR46ZA9a3/vSRJxAMqcoefpbxBrmyiqTJD7T7iwdW1RpIEg/1mZQDJBXCMdwZYyhssFwwcBzSPTPuaQLhZ8K/Z6kwYO2XE2I75YrgzxAtvzfEXL0+QjHh558Eevv7mLJdmc3zkgUGOjLTx0rkF3n+sn4BX5fx0lueOT/PIvk5uLBe5NJfDtG0+fN8gkYCH33/+EoeH28iUdF46v0DQq/KOu3u4sVzEth1Cfg8HBuNcmc/z1denOTSSIBHyoqkyATdw6Ir5WSlUee7ENB841t8Yq2U7XFsosKc3yuVZUQOOh7z8/vOXODScoCsW4Dtn5pCA8e4IP7iwyMRikedOTPPRB4YI30bf4pZ30XEcFrNVdNOiYlh0x/1EXTRRtlwj6FWIBbZHc9jOarc0iAmjWzayAdO5KqlSjQcHozvm4UsVdP7BH7/JfLZCuigE0f7J/zzdiBD/yQf28tH7RPoqV67xfz13nh9cTLFS1HEQxKVPHejiN963l0jTzbMdhx9cWub3v32V87M5ilUTjyrTlwjwb37mEIeH4hSqJv/yS2c5OZlhekXIaXzq915t3INPPzq8LsW2UzMtm88/9yb7hjt46+oCsZCPyYUsD9zVz/W5DDNLOQplg71D7Rw/P4dXU3js8BDfP32DSMDL/pEOXjs3Qyig8cy9Y9xYyPLCiQlG++K878HdtEUDjdSK4wgRRK/LMF5nna5z90W8asti5jgOumU3WLm9qkzE53FZmFs/V2fwLhvWujpBQFMbjbZ1Pre8LhBC9UU07FVbGjtB5OYzlRrJkBcZyOlmg28x4pJdtrAv2w65iuhtCWrKprxzPynmUWTG2gPM5XSQ2DFfHYhIORn2kAyvXwh8Hpm9Pa0pSgkY62iNIEzL4cpygcW8znB7gN3dkXV1kpBXYV/v1rtCAVJRiPi3T+t0xzZvRZAkqYG2W/v7uqmy1Li2TQNj1zkNtG0s/XAnzLYdZjIV/JqyLbot4FX5++/d12ALlyWxqDusro+/+bNHGu/erzyzB8dx3KAYDg4nGvW6v/PoKLa7c/riK5O8/9gAh4cTKLLEkRE3De8O5aE9nY0anbh26HE58STgcx/Yv+F1ZYs6h0faKFRq+DSVn31kpPGdAAeH4g3UsOPAA3s6bqqeuJlt6Zgs2+GVy0tcXSjQGfXzkftWaxXtYY2TN0wyZWNDAs3GxTlwaaGI16PQ0YTUWMjrRH0qC3md9qDGSrm24xpTIqTxf//sIWzH4atvzvEfvnGJf/vJw4y6qZS2Jiiyqgj+sV98YoQD/TFkWeL50/P8l+9cZbwrzM89ImosjuPw+tUVfv1P3qQ37ueffnA/Ix0h0iWDC7M5BtyHGPSqfO7du6nULH7zr85xI1XiP//SsUb0uR0f2XamqjJ3j3Xy4slJ4hE/d412MtaX4NprV9k90M6bl+Ywaha9HWEsyyGVLRMJeBnuibOSK/PE0WFeOHGd6aUcxy/MMd6fYDkrNKEs226o6toOvHh9hWRQYyDm5/XpbENVN+xVee/ezoYDqetjnZjJkquYWI4QwOuJ+HhwMEHUtwrVrdkOx6ezXEmVkCVRpK3UrEYufm9HiKN9onYyla3w2lSWvF5rNDRqqsxYW5D7B+IttYT5gs63ryzz3j2dXEoVmUiXXWcm9JfuH4wLGLLjkK7U+P7ECosFA8d1tLuToTuuSHonLVUyOLdQ4JBbR4jskOG5blstzDv53cnpLEsFg12dIY5PZgl5VYbbg9sedzNjudOfuZPjuR3LVWr8+p+e4p37O/i1d45uOxbh8FfHpKyJAJr/v+WzEi08gpIEdQD7k3d34/Ossn1sBFiR1+Smmv9voz4sVZH49JPjTKWKvP/YAAPtQWRZajlPS219zfhux7ac/aoi88yhXg5nK3hUuYXq4sGxNr52ap4/++E0v/GeXRsSktqOw8kbWb57fom+uL+hmwPQHfFycjbP3d1hSoZ1UwqHHkVmMBnEcRzaw15kJHrjgQ0hlEGvyj/+wL4WKpO+hJ9vnVngxPU0n3xYFPxqlsMffvcaPlXh//m5I4w2qd4+1aSSqsgSfW0BapbogdDcsXiboOMVw+L8fJ7+eICVktFA0hmu1HUy7CVV1MlXTNpDGj2xVRh9zbR57dwMjx4cxHYcvC579L37+njx5ASjfW2E/B5+eHaGA6MdHNndjV4zmUsVePLoMKcuLxAJeOmIh9g71M78SpH9w0nmUgVs2+H85DL37V8FVczk6jQ5ITpCXkzLJls1CTdRw8zmqrx4bYWBuJ9Hh9vwqjJLRYPXpjK8eC3Fu/d04nUZBK6kSpxZyHP/QJyxNtED9PpUlmvpEo+NtNHdFJxoikxHSONoX5S430PNcji7kOfsQoGOkHddzcayHV65kSbsVXlitB2fRyZbqYnmXfczNcvh+9dXWCnXeHgoQXfES143eXMmR7pco2uDhmHTsrFtG82z+jrYtkPNsvB6tnYQa1PdjuOg16zGc9upqbKEba/+vHYRebvNo8isYhUcZrNVkfK+iQbr/7/ajVSZywsFHtl9Z6isbsXawrcHz97IJEkiEfaS+DHMgW3DslS+yg8vp+hN+GkLr9KcPL43yeHBOH95fIaFXJV3393Fkqt3tFLQOTGR4fXraf78tWmKusmvPz3eUkTtCms8tasNtU718Ta9h44jOL0uzee5PF8gXTIoVGpkS0YDaQKQLupcmM1z71iC4duUo9ZNm6mVCqos88aNDImghu04PLE7yeRKmWvLJUzLZrlg0Bnx0tPEUdXfEeGjT+xDkVsddSLi5yOP7QPg0o0UD989wEN3ix3sk0dHGp975NBg4+eOeGvE+8sfvKfxs+UuqEXd5OHdHQ2qfYD+pvSb7cDp+TxBTeGRoUQjZRb3eygZJq9NZVks6gzE/DgOzOaqBDwKu5IhAm5qdl9nmMupIgXdpL/pQXeFvXSuYa7Q1BiTGaEhtDvZSvpqOaJ5+/HR9obmTFdolWTWcRwWijoLBZ1DvVH2doaQ3bF6ZIlnzy9u+LzOXFtkci7Dhx/f1/jdcrbEiQuzvPeh3RseUzfHgTcuznLP3l4kSaKi1/jqy5f4+Dvu2vK4teZTZWJ+D5PpMhKiMXenoIM7YW1BjcmVMleWivg1hZWSqBHdrmMyLdG8q5s2tu2gKoLGJ+BV2IyxxHEcVzfMbDTsR/0eUY9+G3c/9fpxWbdwEEFhxLc1iMRxHI5PpBvNxLf6vbYjyg66aVFneQ/71LcNqPSTbts6JlkSbM6RgKclOoz6PfyLD+/jX/71eV68sMz3Li4jSWIh+4PvXuc/vzhBzRKdxb/02AgfdDU66lanygE2VE+9UzaVKvPPvniGi3N5xrpC9CUCeFWlRfJZQtQwClWTzujNoX42MlkSBd+aZYum1Yi30eMz2hHk8mKRh8baOD2dY7ipsVhVZD7+jru25dsa708w1rdxcbxe49kpZ1fIq9ITaRU7bGWutlgu6siSxPcn0i0pgnxVpPWyFQGvRdqaNWLtnxwgVxVaWdmq0Euq1ARRqeWsr7FISAzFAw2ntHasAOmy4HDrDnsbzAKCBktrOEoQzuTVM9PsHU4S9Gu8cmaK2VSed90/jk9T+cpLF4mFRf/V8XMzvHlpjgNjXdy7v4/nX7nM1GKOJ46OMDGf4fNffYN3P7iLn3nqbl46NUmuUMUBvv3aVY7u7UGvWVyYWKIzEeb7pyYZ6o7z1L2jDWYREM9eloXWjiSJjMKP0gbbAgy66eqpdBkJ6N9ErmUnZlo2b0xm+eLrM5yZzpEq6piWQ9Cr0hP3cWw4zq++Y7Slxus4QjPsr9+c42un5rm+VEKv2SRCHo4Mxfm5hwa5eyC6bm7/5WszHJ9I8/Cudt5/uHvdnChWTX7/O9dYLhj84mND7HLFDRdzVf7Tt68xnAzykXt6+asTs3zlzTmmVsqNbMxDu9r5xceG6G0K3Gzb4epSkfOzeS7OFfj2uUVsB144t8TCGlXq0Y4Qn31ieJ022n/45hXKusXn3jVOrmLyR9+b4MWLyyzndZEmj/v51CNDfOQe0f7x+rU0XzoxS3fMxy8/MbxpG8VkqsQffOc6Po/C339qjLYd9vn9pNm2jqkt7GUoGaS3Lbhu8RrtCPIfPnmIb5xZ5JtnF5lJl4UiKxDxe9jbE+ajx/q4Zzj+Y6G1Ny2bP3jhKqduZPh/P32U+8fbUSSJQtXkjYl0y2dVV+65UDEbhclbtbBP5el9HaIg2PR7CVG/+al7epGgZacErrPegE1ibbpIljeP4GzH4dWzMzx4oL/lmM1McxUoNzPDchpOolQzW/PSsmDwqKdxJWAg5uf6SolzCwXG24OYtsNbC3kCHoWuSCsN0Vvzed6YzeHzyLQHNAKaULzcbDySxIaijM2mm7b4nNp6XbJEow6oGyZf/f5FfvnDx/jC35xmfKCNRNjP0/eO8Vcvnudzn3iIDz66hz/75luUygb//RunefzoMF/4m1PYjsPkQpZPvecwmkehqy3EqUvzfPq9R1Bkifv393P8/KwAb8gSJy7MUdVrhINe/ttzb3BsXx9fffkC+0c66O9c7UtZKRlCbiHgYVcySKFJZXgra+7Mv1Uk6J8dn23JHiwVdN5/dxf9Wxy31flM2+HzL03yu9++RqFqEvV76Ix68SgyuXKNM9M51GaoM3VKG5N//uVzfP30gtAy6wji88gs53W+enKeH1xO8c8/vJ933d3Zcq1vTGb40vFZwj6V9x/uXjcm3bT4xplFJpdLvO9Qd8Mx5Ss1vvLmHB0RLxfn8nz15DzdMR/jXSGqNUEQ/Ccv3+DiXIH/9OnDJFzUXtmw+K2vXOTsTE6IO7r37vpyiblsK8w/O1zjs48Pt0RltuPw7bPCiT1zoJN///wVTk9l6Yn5GWgLkK/UuLxQbFkzEyGN75xbolqzeGxPO4cG4uveE8dx+PqpBf7ytRke2tW+qd7bnTDHcRrECJsxgdyO7YCSqMLEUpGVgkF3zN9SZ5IkiVjAw0/f18fHjvWSLdeo1sRWNOhVBHEoG78wGzW53emL002bq4tF+hMB7h1tw6MIJudMSWcxV22h/YkHNQbaA5y8kSFdNEg0oWs2g8zXFSqdNbv4Zm67ja5IYvO/bWQvnriG3+fhvrsGdnSPLk6lWMmXOTjWxWDX1k2a253Oo0gokkRX2MfTu5JbplwlSWI0EWC5GOHETJbziwUkSTB3PzHWTqyJRipdqfH6dJbemI8nRtobcOK8bnJ1pbTZV2xrmiLjOMKhNs8v22UjB5maZSPLEolIgJBfo1yp0R4P0B4LoNdEGkc4f9Hf4TjQmQjxKx8+RrZYJRkLEg4KJ6sbZqMxE4Qzqs/5Q+Nd/OnfnMK0bD7zvqN8+bvn6UiE+Mz7jgqEZJP5PYqAK5cNTs3mGVmjImq7LCPNtVKA16ZyLBYNPrAvecv3rCfm43D/qpO8nirh3bEuz3r75plF/uM3r2LaDn/nwQF+9sEBuqI+VFmiWDWZSJVQJKll4XQc+K/fm+Brp+YZ6QjxLz68j4ODUbyqwkpR5y9em+H3XrjGbz17gZGOYEu9+nZtYrnEQrbK33tqjI/f20cipKGbNt+/uMz/9sWzHJ9I8+2zi3z8PuGqA5rCb/3UfnSXgPrfff0yL5xf4mPHevn0I0Mt5/ZrmwdaFcPiN5+9iEeR+M+/cJQ9PWG8qkJJN5lMlRjvXL3GwfYAD4638dypeb5+aoG7+2PrAAvFqsl3zi+BBO851IXvNp7hduY48BdvzjOXr/KPnhjekcDlzdiWI3cch1hAw6+pqIq0IS5dLMKCTLU97KVKVGsOAAAgAElEQVQvEaA37icW0AR9yCZPpVyzefFahqsrFRaLRoOR+k6apsh0xXws5Kqcm8lRqNSYWinzH79xhcwaLq+ApvDTDwwysVTkt79ynguzedJFnemVMi9eWGI+27pFVySJ/rYgS3mdH1xeJlcWdatidXN9e8dx+Nr3z5PKioW3otf46kvnKZZ1LMvmxPlp/tuzx/nu8asYNQvLsnnl9CS/98VX+Itvnubzzx7n2szKltcsSxKPHhxkuDtOJHj76SCfqtAe1FgsVsnr4tqkpue6NuFm2g6pks7+zjAf3N/Fh/Z38f69nQzGWql6ioaJYdn0RcSOq/63tBvc3Kol3LrMYkFvgcbnqyZl97wBn4fhngR/+JUT1CyLkd44FydTfP65Nzm6u6cF2RQKaBzc1cXZa4vMLOW5e6yLyfkMf/TsG5yfWCLgE/P8L79zlkJZ58U3rnN9Ls1LpyaJBL1CpDEaIBHx8+jhQc5eW+T6bHod+W/UrzIQ99Mf8zPcFmCkKcXrOA6Xlkq8ciO77nrzVZNUydixnPlG9uhYm+AGdOXnxztCDNwitUxJt/j8S5NUDIsPHunhn7x/D3u6w8QCguewK+bjgbE27h1NtMyH6XSFLx6fwaPI/MZ7dnH/WIKAJoQPOyI+fvGxYZ66q5P5bJX//spUg/T4TpjjwBP7kvzio0ON/saApvCO/R084bLJvHo13QhQZVmiLxFgtDPESEeQkIugjAc1RjqCjHaGGv964ptTVNXZTn774wd4cLyNtpCXkE+lM+rjvtG2FrotjyLzoaM9eBSJ75xfYmXN+gUC/XxxvkB3zMfDu9rf1nqcjcPl5SKyJL0trRhburmSbvKN03MYpiV6QywbP6torZrlsFLUWcrrlHTLnSwbTxivqnBkONbonL6WKhP1qeQqojBq2s4d33qqisSnHhnm7HSWz/6X10lGfOg1iwfG23nq7q6GNhGIxfaDR3tJFw3+5KUJvn12ofFg/ZrC7/z8EXqadliSBB8+1sdLF5b43J+ebMDEf/HxET792Aib2YWJJZbSRT79gWNcnUrxl986xdP37+L7Jyf406+d4N0P7eHPv3mKhZUCH3/qIOGgF0WW6W4PM9rXtq2Kru04fP/0DRRZJlus8sjBwS0/v53JEhzqifLNy0u8cGWZgz0RYj4Ppu2QqdTIV02O9EXR3Hph0RDaQz1RH/XZUDUtTEcWPHPuPQ1rKpoiM5Gp0Bf1o6kyy0WdEzM5dr6XbDVJEiqeHSEvZxbyhL0qXWEvJcPkzdlcgx1HliQ+8dQBCmWdgFdDUSTuGu2kZtpEgl6mF3NcmkoRDnrxqAo//+7DFMo6Xo9C0K/x6z/9ABXdJOQX8iD/4BMPYBgWQZ/G40eGefjgIJpHwaMq/OpH7nN3OfDhx/eTL1UFE/6alzlbqfE3F5YEalGCom6RDIl6RFE3ObtQRJJgpVwDIOpTW2i3dFOQlSqSqBsq9WZw3UJTpEaPoGEJTsK6aml9d39hvsD3LqcYbAuQCHpIhryMrKFo2oldXSxyab5A0Kvysw/07zhqf3Myw1JOZ3d3mGPD8XWLql9TeN/hbr52ap6XL6dIF40WFpHbMVWReOZA17pdoqrIjHeFkIB0ycC0hIDinbR37OtgOLkzZeejw3F2dYW5tFDglSspPnikp3GcZTu8cG6RqmHx8OHudSKCd9wcEYRG3Xl0p21LxxT0qhwZaeP6YoGqIeTF8QsQxFJe5989f5mXL6XIV81tWWi7oj6e/dxDqF7x8MM+lYtLJcqGRUBT6I9Gtzx+M3tgvI3f/Om76d5AfVGSJA4NxfmPnznG5FIR23HoSwTY1xthYrnEYq5KrYlCX1NlPvvkKO893MPl+TyFqonfozCUFFHQ2nOPdYb4o1+9jzNTWZd0VGV/39bX8e6H9/Dv/uRFPv70Ib712mXeed8uVEXmK987y8FdPYz1t5Mv6Tz3/fN87J13c2Csm96OKAfGu3n0yMj2vR0I5vULkymO7F6fb79ZkySJ3qiPJ8eSnJjJ8uK1FUx7teeoN+JrlQLwyCSDGq9PZTkxk2sQ+wY9Cns6whzujaDKAoF2tC/K6fk8Xzwzj0cRMtKHe6JcWr518T+vIvPocIKXJtJ87/oKICSm93WG3bYAsTP3qAqJyOqupF7bcxyHTKGCZdn81JOi6VDzKC2pt4BPI+BbDRCCPo2gO/1i/x937x1n13XW/X53O73PnDO9SzOj3m1LcSG249iJ0980EiCkQPIWAuTCDZfkEl7gwiXAmwvcF0gIhCSXNIgdJ07ixCm2XCVZkiWrzKiMpvfT+9nl/WPtc3SmaUayFeA+n48/Hp3d1l5777XW8zy/5/fzL/U0lrPg11+zamXdJFXQafA6ONAZRJGvrkJnsyW+e26BS4t5FFli3AZHvHNXSw0gkSrqfOXENPG80Hva1x7gNf2NSBL884lpdrb4ONQtRGWuxAs8cnaOjxzsXEISu5gTNUzpos5irlzLp1yvjcyLb7ov5qV7gwMuwNkpwT7fHfXgXYM9oTfqxeNQmUkWWciUXrmJSZboja3eVqcqgyQG/uXF4i/XZAn6WzZeX+d3qbx+dwtnH03z6MkZHtjZjNNecGSKQuXBqck8uLtl3RD9yzVZkuiJeJjPltFN62UDxpbbNScmSZLoavQyny4ScDsI1MFXv/jUKN96YYr2iJt9PWHCHu2a0MagW1uSzOsMuXCqEumiQaNXu+6Cwmr7Ohu9BD1O/G6VRE4UiHqdCqWKiYWgsm8Pe9hss0M7VZmSbtIS8hDxuWorSEmCgFusNDsaPHQ0rI9IkiQRZrhne/O6+1b37++MomkqL5yb4PSFaT714ddiWRaLqTzpXJF4Oo8F3Hfw2jDltS8CbdEAOzc1M9C5NgmrLMEdPQLZt95LJUsS3WE3bQEXyWKlxtLgcSgEnFrtw8qXDZ64vIgsSfxcXwMue7CvmCajiQLHJpJEvQ66I0KMbk9bkN4GL9mSXmNw8DoUmnzO2odVHQqa/U4e3NJUC9WtlfeTJIlGr4MHtzSRKIiPxudQCbhUkgVRyHvN7pMkdm1uYdfm1Sf16tEb+Qzr23it44bmspyaypAsVFjMlVFkiZ2tAba3+GnxO3nfgTb++cQUDW4HDww2CvRj3fGzmRL39TfQ1+DhwkKefz01w972II1e4dnWR71Mm5l6ue1sD/C9l2YZWcizvS1A1w0i8uI5EWKK+BzXBXiqhtb9Lm1NQmSnJmDm8axB0vYcXwmTJakWjvtZmixJuB3XJ6D5mu0x/vHJEY5fSXBpLscWW7/r5GiSscU8m5t87OoMrciPr2Vlw2IuW8LvVPE5FMqGkO2QZYlsSSe4Rr9IEjywNcZfH77C81cSvKo3sm7++Xrsmk+jrJuk8hWCbo0r8zkyBZ0GvxhshmYyBNwaf/ne3Wxt2xhfWH3jLizkafRqDESdXFjIY1oQu05oo4BFA5IIYZmWCAeWdJOKaRHxqlVRWizEB6nIFiW75sDtkNENISvtUAXlR/WLL5QNHKr8yq8EFJn7Dw7wj48cIeR30x4L1gZDp0Plg2++VagGG2ZtFe9xaSQzRSq22um1UHkS0NLg59FnhkhmChzasTqzuGQDGjZqkiThUCVivrVXqVcSeSZTRR7c0rSikDXmdTKWLBAvVOi2f6vWGIWX5S6rnGWCUbpC0NZv6qgjhc2UDKYzRQaiK4uqJUnCqa68v8g6YdD1zLIscvZ7sZG4etqWxGgPucGySBX1JSwZVdve4mf7Gsl8SZIEsaY9G0nSyo+8LeBiS8yHIkv0RoTYYrakr+CDu/bNiRBgV4OHbFEnXazQeI1nveZpbtCpuJqzXAmKqm/j1f2vr03mOjmpfytJ9Ou5qiRJdDZ4OLS5kUeOT/GD07MMtvqxLHj8zBwl3eT+nc1LxA8LFZNLi3kaPEI3TEKiaNghX4dKuqSjSBKJvE5fo4ezs1kCTpUGr0Y8LxZyM5kSqiKRKxl4HQqDMRHilSU42B3mi0cnOTKWoq/RsypRQk/Ew5bm6yM4XpcrbzFTYjKep1BaGq7b3xPmxbEUFeP66maqVrK52fxOlURBX5f8cC3TTWr6JG5NqRXhKbJJtmjgcci1fJhLE96SWxNMwdW8VnWFVp2DSrrJD4bmaQm42NnqZy5bFqGOqJdEoUI8X6HR6yBbMihUDDRFYkvTxopyJUni9j09/PmXn+Djv3w3sk0k+97X7ePPv/QEv/anD4t8xN07uP/QIAAP3rmVv/jyEzx3+gofeNOt7FhjNQ/iIxwaW2D/YBs7N23Mk3ulTDcFcqyamK4WvRqmxVSmiGHHpDdigsuvwpHxBF1hN70RL7mKzkKuQqNHQ5WFDk62pJMtG4RcKuOpAk5FoW1ZLZpumowni5imRUfYzWymREk3cWkyDR4HM/a/WwNOXKrCWLIgPOeQqxYeKxsmTT4nR8aT+J0qPRHB/tHgdZArG7WJp6ibRDwaEY/GdNpm+7aEAu6Z2QybGr00+5wYlkXYLfaJ+Z0vq5zCW4f8qgJT6ofhWs2eZa25gn5xIk3QrbHXltoIuG6suLeasI/bIZ6NWjUsl8pX0A1rVWmLQsUgW9RRFWkJSfN6ppvWEjj8f2RTZIk37GnhsdMz/OClGd53Zxdl3eTp4QXCHgd3b1vKyF+oiFSJ26GQKRmUDFMAcrxORhMFOkIusiWjFq6MeDRCLsE9WTYsUsUKUZ+Diwt5WgNOcrZumGlZfO7ZMcYTRaFhNpbk6NhKcA7A67fGXtmJyakp9DX76Ip6SeUrS16G9xzsFISmD5/lzsEom2JeAmvIroPIR+ztvgp+6G1w8/xYirOzOcJujeiNyF5YFhIWPpdS01oBEGHXqzN32Hv1b/cqAIvlSU/NFgjririxgCcuLRJwimTzYq5MZ9hN2KNxbjZrT0wym6PeWsHwemaaFh3NIQ7u7Kq1ORbx8Qf/+X7yxbKA29cxgO/f2sFnP/F2DMPE51l/FWtZFul8iamFDP0d16mp9DKsI+jitEPhJ5cX6Q67camiyHgxX2YmU6In4qH9OpKyAZeKzyEmAacqU9QlPJrMmdksO1v8FHSTc3NZBqJehuazOBSZ+WxByDjY1EeWZTGeLFKyw7iXFnJMpItsb/JzJVHANGEknmdbs5+zc1l8DhFOLOpiMlvMlQm5NZp8zhq5bVvQRcilcnwqhd+pspgrY2JxaSHPgY4Q5+Yy3NYZxudUSBYqtPidRDwOgi6NrpAb3bS4MJdja5OfqUxxSX3XWiZJK4Xzrm5c+zhFEiqu1QlpMV9Z4j1YlsX5mSzT6WJt0Fck8f5vRLV4uYk8kMJsqsjIfI6dHcENLdh2dQaRJbg0lyNTrNCwzFuzLBiezlCsGHQ1emmsi65UgTdVOYvll1vIlEgWXrnQ33KrhZ1f2RTUGteS2NcTZnOzn6HpDCdGkxTLJlPJIndvjdHduDRXFnSpZMsCmOZ1KvglQaPmVGU2qx5yZYOIRyNbFiC0qNdBxkbfOlURFk/kKwzGxPgWcKq18oj37GujuAHGi9gG5U7qbd3l62S8wMmROFOJPO96VU+NILWkm6QLFa4s5Dj7o7RY+cOaH0lz0MW368APbk1mMOalbBNx3gj607BgLFHA51QJezTKuhAyrBhmTTulYppISLao18YmDlmS8DoUUoUKAZdKyC0UTJv8TtLFio2Ikmy5ajtUuIH2W5bFNx5/kSdeuMz9hwYJ+6/G8SVJwulQca5SDyBLEgHvxgZ0CyGdkcwU8bq0n+nEFHJrPDAYY2g+y2y2RNmw0GSJgEvj5/p8dIU8G568JUlClbEL+MRi4qKN5CwbJhaC+DTqE4W5yYJOxKPR4HWsUH7NlnSa/U6cqszQfBmnIhN2a8znyhR0gVBr9DgYnhe0SV1hN4WKwUymJJB+Pgd+2/PRFIEuVKoxZARVkoSQroh4NPt9tpbISmiKVAN4OBEr3yuJPM3LKJlW7QtEmPvFqQw9EXct57ceilUCuiNujk2kaPQJLsIjY6kVueCKadIadGEGhMS6ztqe1Xq2qclHf4ufF0eTfPnpMX7/bVvtoumr11ytKHhPV4iuRi/ji3kODy1FnFmW0Ib61vEpTAtuH2gkXLdIbrFDvBdns+TLBl7n1esZpsUPTs9S1s2bwj4o19VjLWZLN+EKK83nUnndrmbOTKT40Zk5Koa4t9ftal7xfamKTFd4dei/f0mU6upCoJrvr4bUQ6uVCQHbXsFasuW27sTktweC/X2NS7yhLxy+wtefn6DR7+S2vgZiAec1VVwDy8APFxfyXFosULbzQfdublgSn7Qsi1S+woWZDNvag6vLpNthIo9DYT5bRpUlcmWDXNkg7NHIlipkijqSJNESdG5YUwVgR6ufhWwFVZa4vSdColBBkSS2NvvxOhQUSWJHi4jvWlgbUrAF2NLTRH9njK29TTeFB0uWJA5saeOly7Ns7b7q1humxZmJFGGvRnvEc1NqHKocerd1hq+5z3KzLItLc1nGF/O1e9jZGSLo0XCoMpcXc7QF3ZR0Awu1tuLvCLrwOVVGFgu0BV0CRCFJSwh1AZr8Tq4kCqiyRMzn4NxclgsLOdJFnb4GDxcXcpybyxJwaoTcKhcWchimRWfIzWSquGQJ7nWIUJ8sS/gcCpcW8yzmy3SErkp3S4iF23y2TNKG1Ls1mYphMZYs0BF00+J3cmY2u6KQdi071BWiYlg8NZLA61BoCTjxIGrM6nMyigSbGjw1+qU7e0W90POjKSIejddtaeT8XK4maSFJEjvbbgwRu5p5nQofvKub3/7qab59YgpZgncf7KQt7EZRRIHtZLzAyEKON+5prYEOon4n77+zmz/41jn+/HvDOFWZg5sbBAovVeRLT43yxPl52sNu3nuoc8lYtL83jNuh8OJYii8/M8rbD7Tjd2sk8xUef2mWrzw3jmIvFl5pkyUYaPEjS3B4aIGjlxPs6hReYsH2VOo1pF6Za0q8ZnsTn39ihKeHFzFMi7awm9v6Gm5q7dLP0tadmDxOlYBbI+DWloS8zk9n8LpU/sd7drGvO3zdIIGybjEY8zKTLqPKIhYKS2fm75+a5g+/eYb/+f793LmKmmm1EM6lyWRLYuWqyUIm2u9USZkV3A6lJjtdMUwmFvN02fTt1zKvQ8UbsQvnPDJhGw1WreOC1VcS1zJJktix6eVDuKtmmBZjCznaI55awaZpWRw9N4nP7SCZLdJoK/fFsyX+8z8c5Za+Bj79nj0rtHZeKbvRD+O5C4t847kxZtNFZpNFvvRfDnL7QJQdLX6ydi3O3vYgJd2kPejCpcl4Yj6cikzeVhJN23nQ+gWQJElEvQ6cqmCECLhUxpJFYj4nvQ0eEb7wOWnxOwm4BCoz6NIEStOp4re1nqrn6o54SBUrOBSZ/kYvqaJOT8SNU1VoDYiV687WAJosC5JaG52myhK7WwOUDRMTMBETpnMDIArJDq29fstKdoe97UuBRy5N4d11tDxeh8L9y1ivb1RpdyMmSRL3bmviN+4XPHT/cnSS75+aJewVqN1CWSDquho93F/H2i9JEm890MZEosAXD4/ysa+coiXowqnJJPMV5tMlmoIuPvmWLfTFltZX7ewM8ZZ9rXz9+Qn+x/cu8LXnJnA7BIPCYqbM/TubmEkVef5SfHlzX5n73d7Evxyd5PR4ig//43GagkIotKwb3NIb4Y/efn2Evhux9rCbO/obefi4EOr7pTu6lxTkLrdSxSCVLxMLXvWeLMtiLlUkYqNgK4aJ+zoZHKoUVKmCTqak43UoRG3WnOpCQJSMXN+4oHzqU5+61vZPTcRzHL20yFyqSHfMV6sxSOV1To4leduBdmKB61ds9TkF0qqgG5QNi74Gz4oEsNepEg06uXNLbHWPCQFZFhOUilNV8DkV4dHIYuXsdar4nAqaInNmPMXv/ctLPLi3dUXl/X9Em4wX+PUvHefubU34XFdh1M+fmaSpwUdLg4+gT4QAq7pUtw9E6Wi4OR7Ty7EtbUHetK+NtrCHx05P89YDHXQ2elFlwUYt27U9bk3BYRfqajZvXvXfbk1w7S0PjUmSCAdWi0wtoNnvwmWT+VblNxRZnM+lKbhUxQ7ByUvOJ0sSHk28T7K9MHKqCqrdPkkS/1ftbV6HuqSdbk0hVxLEuL0NniVFsv9/MUWW2NER5Na+SA1wlCvpVHSToFtjT1eIt+5vY2dnaMmCVlVk9veEGWz1UyibzGdKZIsGjT4HD+xq4XfeMMj+3siK56tIcKA3QoPfaU98ZYpl0yZC7eIj9/TR6HcKr2JTQy0MaFkiVLy7K8StfQ2rCpUapkWDz8GB3gjb2gOrLmi9ToXbNjXYKFKdZL6CaVk0+Jzc0hdhT1doxfdWMSy2tPm5ta/hhuqxFFnCoSo8enIah6bwW68boC3iJlus8OSZWUq6wUwiz0ujCdwOhalEgcVMiQa/k+eH55lJFAh4NY5dXKCtwcPxy4v88OQUfc3+DU9OlmVxeTHPPzw3wVePT/P48AJl3WR3u/AYT0ymeeLiIj0NnrXylb+/1rnXbUFT0F3jyAvWwW3fsq+VeK7MHzx8lkP9DXQ1ePC7NFuufOV5nKrMvp5wDfygGyZPX0nSHXHTFnDWaoyqJkkSvTEfv3L3pjXbJqiQxMUU6Wo9jlz3m70nlmVx/EqC2XTxZdG3/Hsxy7I4P5lmZC67JD8nSxJvuH0A3TBrkxII5o333N79s2/oBqwKRXeoMt6bXE8iSRLd4bpiWU1Zwjr+szC/S2WL6+bF5/89mKrI7OkKsaszRLFioBtX6Xwc6tVJfLk5NYXXbG/iri1RG7QhvmuXQ0aRVqc4kyRBl/aLt3fxzls7KBsmWKCpYpFRDX29ZnvTkuMa/U4++tq11aZN02Jvd4h9PWuHpqvX74l6+cSbtpAtGXZ+W3jJjlUIThVZ4pfv7K7xhd6o6Xax+I72AIN2PVOpYjKdyBP0aAxNpdjeGeboxQV290S4PJthc0uAy7MZ3nJrFy6HQiovaKga/S7aG7wblkO3LIuJZJHP/PQK6aJOV8TNyGK+VooDwlP69ktzbG32s2uDJUVVW3cUSOUr7OmN0FWnZilJEuemM3z1uXESuTInRpNXwQ9rWHPQxbd/8yr4YSRepCPkIl82MS0xoPrtQelLh0d49sICFmJA/W+v3Uxf09IPeSZZ4NPfOc9H7t3EdLLA4y/NkspX2NzsFyvviOCoqugmj780w9HLcX700gyzqSK/8cXjKIpo752DMd558Co5qmVZXJrN8r2T01yayxJwa9y1JcbtA41LXrJcUef//vZZ3ry/nZawm2+/MMn5qTQ+l8prd7ZwqF+ETw6fn+en5+b4z/du4sdn5zhqhxNu2RTh/p0t+OrqWtL5Ci+MxHnu4gLTySJuh8LuzjCv3dVM2CvcY8MU8u/PDC/wxLk50oUKv/u1F0XIEtjWFuS/3Le5ds6RuSx//uh5QQJad7/LV52WZZEp6PzozAzPX4xTMUx2doa4f1fLEo/4zESKLz45wq8/MMCJKwkOD81Tqhjs7Azxhr1tS8hv8yWdF0eTPHNhnvHFPKois6U1wAO7W2kJuW6a12ZZFl99doxErszbbungkRcmODeZJhpw8eDeVra1L5VOsCyLiXiB7704xfnJNC5N4VB/I3dva7JJOMW+Zd3gpYkUzwwtcHlOsFP0Nfl4YHfrCloZwZZd4fD5eY5cWiSRqxBwq+zoCPHA7tYahVWVVfvHZ2Z4/uIiFcNie0eQB3a10BS8OX1kmAJM4L+ORYBhWozF87wwmuLifJZixaTB52B/V4h9naElqNiKYfLZw1fY0uzn1p4wT1+Kc3I8RcU06Yt6ed32ploe0LKEwvHzI0mOjyXJlXTaQm7u2NzApph3yXPKl3XOTWc5MZ5kKllEliU6I27u2NRAd4PHLlhVloTbb8Sq4Ixc2cSpSmx03aLIwsPWTVHYXz3PWkAS3RQ5cpemrAs2Wf4elCoGDx2bxLAsXr+7pQbAkGWBgBasNianRxNs7wxzeTbD6FyWTE+EzkYvHpfKYrrEVDzPpZkMnVEvc6kCqXx5Q6KDFvD48AJF3eC37+2lP+rlE48OLdmnOeDE41AYWcy/8hOTYVo8eXaW7qiPWzY14rI7IOzReP3ujdfJLAc/NHo1TkylyZREDUp379VVyeZmP9mizrHLcX58Zpb3vKqLvqWLHbJFnW8dmyBX0hmaSrO52Y9hWfzdjy7w2KlpPvehW2gKutBNi4l4HssSRIiKLNMUctVCKPVsFpZlCUbhr50i6NXoifq4NJvh4WMTvOtgJx97/WCNAqRsmPzg9Aw+l8rxkQSFskHQo3FuMk1r2M3B/kYk4Mp8jq89O8bYQo7JeIG+Jh/z6RLfemGCF0eTfOpt22te39PD8/yf3zhNV9RLS8jNdKLAd45P8eOzM3zmF/fhdaqYlsVkokDFMHFqIswUC7hqnsbyOHPArbGvN8JMssgXD48Q9jh4522dK9CT8WyZ3/7KSU5eSbCrK4xDlfm7H13km0fG+Ytf2EOvLZ44ly7yjefHSRUqXJzJ0N/iJ1PU+ZNHzvH08AKf+cW9tXDv+ak0v/nl48SCLjoiHjLFMn/12DDfOTHFZz94yytGKbPcLOD0WJInzs3xzPACpmkR9jl47NQ03zwyzmd+cS+HbJJLy7I4PZ7iN798HBmJ/hY/i9kyv/v1U9yzrYn//vadtQT9dLLIb3zxBF6nQlejF8uCf3pyhG88P87nf+XWGm2VZVlMJ4t8/CsnOXo5zuZmP2Gvg4nFPEcvx7l9IErQ1jeLZ8v8zldf5PR4kh0dIrT1uR9f4qGjE3zmF/fSY/PVzWZKZIoGrSEXZd1kNlOiM+xGlgTNUNitEXSrjCUKNHgdBF0qo4kChYpJd8TNTFogxrobPMymS2RLOgMuHzPpIou5Ck1+MYiMJwrE/E5C7lreD5kAACAASURBVKWFwKlChU99+zypok57yCUQjrNZvnliig+8qot3H2ivRShMC45cSRDPVXj6UpxTEykafU5KusH5mSz3DsZq/ZQu6vzZDy9y7EqSnkYPLk3m7HSGh05O82t39/KaLdFaO46NJvmj7w4T9TmJ+h1ikXYpzkMnpvnjt2xlsPnle6GWZVHSRdG9qKdSyJVNDMPCqQpRU5cmY9q1kbIEpYoAP3kcMg5VwihbtYL+QlnIsHgcCtmSkAQSnpxMvmyiKTanYdGoeU9+p0K+bAoWfEki4F46cZkW/PjsPE8OLdAT9fKa7VdlQEIeB+94VY8gnh2eY1dPQ23SunNbs5DbsVk9GgNOfu3BrbWh4H13r+09LjfTshiazbG7LcBgrEqrtHRQ8dhh99Q1iK3XsnUnpsaAkx2dQk+pXot+c7OfT75p6zWOvLa1Bp0Ylp/5bIWuiGsJxPe2zY3ctrmRh49N8PTw/JrnsIATIwn+5gP72d0VxgK+eWScj3/1RQ6fn+c/3dqB26Hwobs3YZgW//s/Vyjri3z8jVtX5eOKZ8v88bfOsq83wu+9bTshj0ZZN/n7n1zmb354gTu2xJaw9pqmxdeeHeNjDw7ypr3tooitqKPIwgOsvkxpm7X5nz5yG9GAk3zZ4Pe+cZrvnZzi/T/XS6+djL5zMMZX/tsh2iLiA60YFn/3o4v8zQ8vcGE6w+7uMJoi8+5DXViWxWe+N8TF2SwffWBgCcFsvTX4nfzyXb1kixUePjaxej9aFv/4xGWOXYrzmV/ayx2DUWRJ4sJ0hg9//ih//ugQf/ELe2ox+IphMraQ43MfuoXuqJeKYfHXjw3zuZ9c4sxEilv6BER9W3uQf/rIQdrCbjxOBdOCh49N8Imvn+LY5UXu37VS1O2VtPHFPG+/rZMP37sJpypzZT7HBz93hL96bJjd3WG8TpVcyeBPHjlLc9DNn793D7GAE8O0eOjoBJ/8xileNRDlrQfakSSJ9oibz33oFpqDLvxuFQt4emiBj3z+KD86M0NvrM9O+sJfPTbMiSsJ/vidu3jNjmY8ToVC2SBdqBCr1lgBXzx8hZcmUvzNBw6wsyMEEpydSPGBzx7hbx+/yB+/axcAhy/F2W8Xv37v3ByKJLGQK2OYFlGfA4cqc3JS6F49fyXJlmYfV+IF5jMlvA6FkxNpQh4NlyYjIXElnmegyYdTlbkwn8PvUjk+kSKRr+BQZd68Y+lKMOTR+N/u20zU56DB60BVJOazZT7x8DkePT3Lm3a1rPDAnriwwL2DUf7yXTuJeDV0wyJT0ol4q94i/OvxKV4YTfLJ1w+wvyskzpsp8399b5i/O3yFnW0Bmu3atz0dIT79tm10RjwEXGKRdvRKkk88co4fnp1nYINF7utZwfYmsyURgiyWDZyaTK5s4nbIthqvyNtmiwZOTaJQXpqKwLLIl018TsFEU9JNDNMi5FFJF3Rcmiy+cTv0VTGEl1Uoi5y7blq4HQq6YSJJEpfncjxzYQFVlrg4l+OR41OYlsWvvrqXWN0Cr3r/kgSHBpc+w9V65oZ7yxJlBp5r6KdVDOERrsYGsZ6te8RCusS5yRQnRxNkX8EitbFEkTMzWYq6wXOjKdLFG6vMfvW2GLu7w8i28Nj+vghBj8bowvVr+pwcTXBhNsO92wXT9Hy6RCpfYXeXGBCOXFhcERPub/Hz1v0deG0Z5KBHqwERqqYpMu842EnUDol5nSoH+xvJlw3m01drH7wulb4mH5ZlkcxXSBcq9DX5KOkmyXz5hmtL1rNkvsIPT89woC/C7f1RVFl4Yv0tft64r53DQ3NMxvO1/WUJ3rS/vUbS6VBlDvY3IksSk/GrQmlOTWFzsw9ZlmqyIB0NgidvIXPzaz5CXgev292Ky66j6Y56uW9HM6fGkkwnRDsvz2U5dinOvdubkID5dIl4tsxgawC/W+Ppofkak4UiC7ZppyaTLlRIZMvEAoKncbZOFmUuXeSJc3O8elsTr9vTitcO13qcKs0hdy2Bni/pfPfkFHu6w8QCLhYyJRbSJUJeB/3Nfp6/uFiTUfE7VVqDThx2Aey+ziDbmv1UDAufjRyslk5YlmA5mUoV2RwTk09zwEmDVyy0VFmibAi1gMlkkSa/g5hPeCBbm68SvtabLElsb/XTYGsVpQqC37A36iGeK68qLe5xKLzvYCfNAWcNiNQccNXCc/mKwePnxYTSF/WQKeokchUUWdzfTKrI0OxVQl+/S2VHW8BG4QoUWFPAScSjCZmTV9AkqQ6CLwsPJ+gW/VzRxcQhwpcifx70qKyGY6mep1r4WxvEl33KsiRy4tV9TEtQpzk1gSa9NJfljx45z+/+yxm++NQokgT/9TWbeGNdvddGTDcMkun8qtvOXpqmWNrYGC9JEq1BFyPxPMVVJIssy2J4PkemqNN9AxIq63pMpmWRK+oUywaHz89x/+6266oItyyLk2MpTo+neNdtHbVjMyWdwZiX5oCT09NZksUKHod83SilTc3+JXFoVRaIqNU+lPXs4myWUsXk//jaqSVhR8OyKOkG6WJlCZ8ewKYm/7oIP5cm07lMAbgKXzZM0U5B/1Tma8+N8vTQAsm8WA1nigLNZL7yclU1yxQqzKaK3LUltuJeNjf7KFVMxhbztTyfLEu10F7VqsXG1YSsCE/oPHR0gh+fmWUhU0I3hHR6pqBj3MT7qZrfrRKqYxSpAmoKZYP5TIlNzX5G5rOUdIM/e/Q8f/n94dq+Jha5olGTc1EVKJYNvntyiu+enGYmWaBiWJR1g9lUcQkAZS5VJJUvs609eM2C4vlMiXi2xA9P53hmeIH6MatQNmzvWsfvVtna7LcXDHBnX4SJZJGwW+OWriDDczkkYFdbgOG5HLvaA6QLOlGfg/FEgdaAk75GD6oiQAfT6RINHk3QyyCACumizqGeMBfmcwI8sMwqhsmRkQQ/PDfPWDxP2TAxTMFKLgbelYumZr+LiNex5sAZz1VI5CpMJAr8wj8eX7JNt4uoE3Vkrcl8he+fmeX5kQSLtrdYNkxm0iX6m3xrc+xdpzk1mUxRgBjcioxhSuTLJg5FxmUrEWiKhCwJvs1C2USRJWT7b/FeWLjt80iAxymTL1tkCoIpxgSKZeFFOdSr7NyyJGGaghtRliBfMvG7BXLwT9+1g0xBx+tU2NoepKdRLPLm4xmeOXmZzV0xUtkCqUyB3YMdnL00Tbmic2B7N8++eJmGkBeHpvL9w2f4pTffxvhMgvl4llt3dHP0pVHOXJrmV99xBy7n+gAIWRI1cn99eJQvH5vkNQON6IbwDGczJc7NZvn68Wk6wi62NF1/ecK6E1NL2M2bb+kASwxIGy0krbdnLizw9SMTvHX/1UnNoyk8P5bCY4e/ZjMlsiWDbdfJqXQjbuJaphsi5vu7b95ai8PWW0vQtYJBV1PldT+GKrR5iS07qFA2+N2vv8gLIwk+dHcf+3qE5/fSeIqPfXnpR/tKm+C+YlUobPW3emE2CdZdnBimxZ995xwPH5vkF+/o5o7BKGGvg5lkkY/8w7FXtP1rmcTKgap6P9UaC92wkCSJX3ttP1tWkSxp8Dpqysf/8MRl/t8fDPPWWzp43109NNrw5I98/uiSYwShMOuyXBg28/d9O5t5521dKxrrVGUiXiFEWC/c1xJ0LdHb2d8ZwrLEfey1lWhHbc814BKsKPVQ6GAd8mp5LV41XFhvlmXx2Jk5PvOjS+zpDPGeWzuI+Z24NJmvHJng6TXqg6oexbXu37IsDnSFeeOu5pXfkQSbbJLeQtngz354gSNXkrx5Vwvv6goScGkUKwZ/+N3hFed+OebWZOq7RVPq0Q8i57PWvn7XUqSEwwZ5mJYoS/C7ldp91p+neg2PQ4TwZVkg+8q2xEzU7+QNe1pXtNWyLE6cH6e/u4n+rhhff+wF7r51AMuy+MmRIVpjIWIRP7l8iTMXp/nltxykv7uJoM/NZw8/RWs0yInzE2iqQkNo4/pbkiSxpz3Am3c28dCpGX56YZGKaTGdLnFyMk2+bNAadPH+WztuSDli3SM0RSYauHHRKQvIFPUVlD29DW56G25MJfOGTVpLxlBYu12F3+Bz3nQFyOU2Mp/jqaF53v9zfXzo7r5ajuriTOamw9t9LpVGv5OJxTzGMm2VybjQAWoJXd+zmk+XeOzUDPdsb+KjDwzUPNBcybhpIcnlli3qpAuV2vtrWRaT8QKaKte42NpsAIHXqV7zmafzFb79wiTb20P8zhu31tB6Y4u5FWqqIY+gSboyn8O0WLOYOeJ14HOpWBbcuqlh3cm+hvJi5YSbKRn461ilO8MuOsLivpd7NNf7Xpd1k++dmSXidfBb921aUkB5zSe5zmXCHg2PDeg51Be5ZrRkLFHgmUtxXrejiV+9s7smMT+TKqLXog6CsFeRBYmtab/L1ccjSeI32Y6vmaaFLF/NBcuSxEQ8T8gjnoth7ytJVwmJTcviueF5tneG8DqviuRJ1bHFEv/XDZNHj09yaCBKU9CFZVl4nXKNAFWWJSzTAokahVUV1yxLIsoynSjYebtrwwK39LbwzIlLGIZJZ0sEv8eFqsrcurMHSQK3y4FumAx0N+F1OymVKyQzBe7a308qm2dnfxtPvnABt1O7rvpORZZ44/YmtjX7eWYkwViiQNkw8ToUtjT5eFVvhMYbZL3Y0FRWZYhW5LWl0tc+VijhLrefdYGnhBiA8yWdRK68hGes2pa93RGaQ26+8swoe3rCAqKNWNkVygYuh3LTCiINm5m7usq2LIt8yeD7L07XakCWm9+tUaqYLGRKS4QSr7dvQ14Htw808tipGYam0myxoZ2L2TKPnphmW3uQrsbr0+cxLKvGLVe1imHyg1PTq74PN8MSuTJPDy/QHRWooUSuzE/OzrK52U+z3V/9LX4GWgJ84/kxXr0tRnPQjSSJ51G0CXqdNhu9YVk19npJktANk5+emWN+WX6jLeJhZ2eIH56e4T/d2ikKM21QRMUwbXSoRNDj4M7BKN89Oc2JK3H29URs5VnsBLuFp473zUJ4QpIkJDzyFYN82aDF7+RKPE9HyE1JNwm4VLJlnWLFRJMlgm6NuWwJCWkJddJGzUT0hyxfZeA3LYuLczlOjKdu+Pn4XCqHeiM8dnaWwxcWuX1TA6o9qVQMoT7Q4HWgyKJMwkKE6qvNL+smT15YZDErpOWPXVrkwnSGwbYAC5kShmmyvSPM8xcW0FSZgFtjNlUg7HWgKjLJXJmQ18Hl2QyyJHH7lhinRhPcuaWJ8YUc56fS7O4O02ODk7JFnUePTzKVyOPQFIYm00J3SpHY3BJgKl5gJlkgX9J5/b42Ij4npYrBiZEEl+eyxAJORhdyaIpMg9/JpZkMqiKzrSPIpZksQa/4nnXDpLfJx9mJFA5F5q23dtbQ0MtNkiQ6msO884H9K7Y9eNeO2t9beq8iqN/7hlsB6Gi+mkt81yrHr2eSJKFI0B/zsjnqwbAsDFMULVcXDjdq605MlmXx7MVFHn1xhv09Yd6wpwVVFginb5+cXvcC1RzTcqtKRsuSYIGor+U5O5kiU9Q5PhJHNyyeHl4gXajgc2ns6AziuU7aDBArmts2NfL1Z8f45NdPcag/im6YDLYFePVWgV5pi7j5jQcG+ONvneVDnz3CLX0NaKrMVKLAyFyWv/iFvXTfgNz0Rqyr0ctAa4CvPDOKpsj4XCrPDC8wly6uGa7c1xPB61T4/X99idfsaEaSRL3Ym/a3A6KPh6bSzKWLLGbLFMoGV+ZzPHZqGp9Lo6vRQ2ejF0WW+OCr+zg5muTXv3ic+3e34NIUfnp2jplUgU///J41VUXXsljAxZ7uMD84NU1z0EVTyMWJkQSX5rIrwCGZYoVzE2nShQpHLi1imfDshQWKZQO/W2Nbe2DFMRsxn0vln58e5fJslpawm2eHFxiezvDf376jFs4Kex381hu28PGvnOQDf3eEVw004nGqzKWKnJtM86m37WBPTxi/W+Pg5ka+/twYn/7OOTY1+Tk/leLF0SSNy7SnNEXi1+7v59e/eIIP//1Rfm5bjGjASTJXYXQhxyfevM3OjcKv3LOJsxNpPvpPx3n1tiZiASfpQoVzk2nu29nCL9/VUzuvSKBLhN0qubJOoWKSL+toihufQzCciAnJoKwLRvGo30XRnsB8TvWGvG+XKnNrT5gvPDPGXzx+iR2tAeL5MkevJGkLubg4d/1AIxCe5HtubWdkIcef/uACj52dozXoEszu8QKyDH/ylq14HCrtIRf9MR+PnZlDlSUiXgcX57KMJwo0B1019nHDJnCeTRZ4/b424pkyEZ+DVL5CIldif18DL9ihx8G2AC9cjteeX66o43WqpPJlxhfzbG0P0lJXjJ0pVAQbTcDF+EKOVL5MU8hFyOPg+yenuHt7M4fPz9HV6KWim+RLOrmSwXSywEBrgDPjSQplg952Hxdns0RtT+rMeIp8WSfic6CbJgf6Grg0m2VTsx+f68ZY3v8trOqUW1Wkx8uwdSmJAD793WEeOTHNxdksb93XhlNTODmW5JP/eoYjl+Pr/JdgMVvG51J5z6HOWiefmUwzPJMhXzKWFFuenUjxBw+d4amhecYW8wTcKhdnszx7YZFnhhe4Y0DkKrJFnaeH5rljMMZA69XirUJZ57mLi2zvCLLPVmiFqtqth1jAxZmJFC+MxJlOFhlo8TNoHy9JEgMtfvZ0h5lJFTk+kuDCTAZVkbhnezO39AlCzCpF/FPnF+iKerl1UwO6aZEr62iyTL5soNthgjOTaa7M57h/dwsOTUa1t48u5BmeznDHlhgNfheaIrG3O8xEosDzFxcZmcuxqyvMf72vnysLOQ5tjtaKhqttjQVc9ES9DM9kOHZ5kfHFPG0RD3vt+y6WRVL/4WOTHLscx6Up5Ms6Ry4t8tTwPKoss79X7Btwa9wxGCNb0nlmaIGhaVEb9vE3buFAb0MtNzOfKnFyLMkDu1porftoE7kyJ0YS3D4QrQ26e7ojZEs6Tw8vMDSdoTvq5WOvGySRKzPQEmCwNYAkSQxPZ/jDh87wxPl5RuZyhLwaI3M5nru4yHMXFtnVFQLLwu1cSTeUK4rkuFInnmgBPz4zSzxb5pNv3c7J0STPXpjH5VD46P0DvH5va21/SRIqzQf6GphOFTk1mmJoOo1pwu2DUe4YjOKxQzY77VzOcxcXOTORIuJz8LEHB5EQ4d8D9vshSRJNQRe3D0SpmCanx5OcGRcT786OEHcMxmqhwKBb484tMRRZ4tRoklPjKZL5Ctvag9y/q4VG/9XiZgkBUXapQrqgqrxapWwyTMGNVzZM/E4Vt0PBqQpAkWozmy9n+t6ISZJEf8yHosicn8lyYS4HFrxjfxsHe8NcWchz75ZoTVLGNC1eGE0R9ji4fVPDmjyaggNQ4ba+CH6Xyli8wMX5HMlChfawm9dujdEX9SHbyM/tbQGyJZ2jo0mGZ7NEfU4+eHsXDkXGocq8ZW8rSBI9MR9tEQ9X5rL0xHzkywbNYTebmgNEfA7CPgedUS/xbJl9vRGaQi6aQ24Cbo1cSQhBbmkPMraYw6EqBNwiHFXl34v4nOztieDUFNoiHvqafGiKxLaOELGAE7dDoSXsJp4t41BkBtsCTCUKbG0Pcmk2S1PQze6uME0hwaoz2BYk4NZoDbvpbPQRDbjwe1Rawx5mU0WaQ64l7/dGTRQvm7V38mbEqIq6wampDN87N8/jQwscvhzn+HiayVQJr1OxZTLWvPLvr7VBWifeb1mWxRPn5/mXo5Mc6A3z8wc70RSZn56b48NfOM5dg1G6G9f2IizL4vDwArmSwXc/dnutWPH4lQSTySLNQSf7u8NXa4PssOGqSztJuInVeK9uWiiStCRpX/1dlqRVP4hqWLIap5dlaVUWBNO6miCXuEp3NJYsCqScLaeRrxjEfEI0MOpz4NJkhuZyImEdcjGWLNAb8RAvCMG5/qiXyVSRqVSJ/qiHiVSJnoibZFHH71DIlHQ6w+5a26qhxNXauer91PVHbdsaj7gKsa8/l2WJMBzVcy1zyavPR1nWntrvy65f34+KHa9fHrtf75lXdJOvPHmJtx7sRpYkZpJ5OqM+FtIlnjk3yy2bo/TUFVealsUnvnaKp4bmeeg37yDkddgxfFYNR1uWxVSqyJnpLLd2h/A4lCX9X88Kslr/VHMYsiQUQx2qQIZW96/mYqrPR1rWp1VqGtO89n43w6oimqZlrcoVVzXDtHhuJIHXqbCtxV+79+q2+n617LAnSDYEev17qL4r9XL0y9+96j4X5nJMpYTGVtCtckt32O6zn32K4HrMMC1mkgVaw+6fSTsLZYNnRhJsjnrpCL+yLCJVNecvHJngqUtxTAt8TsFRWtJNwSziVHn3vlbu6W+svSvL2rBmg9aNz0iSxF2DUe4aXMlsrMoy7z3Uxe39a2v+mBbkv3mGJ4cWlvwecGu0Rdx4l4XlZEmqcd2t167VUE9r/V6/fT1kYTV2qqzSb7IkhK9E3YSES5XtmP7SOqyQW60R1aZLOhG3xki8QLJQYT5XwbDEx1xVO3VpMmdnc2xr8tUm36pdq73Xup+N3Ovy/SUJroUzXOv5rPb7Wv24vE3rPXNVlgj77MLXI6NkCxX6WgLMpwpChn4dMIUiS6s+y3rzOVXaQi7c18gjrtU/1aZXDJPTU2kGmnyE7FX2ev1ZOy9s6L2/GTYaL2Bh0X8N1nFZEmzoHqey7vspSRLqDXhl4jTXftdlLPqbvPRFPZyZypAtGxue/P6tTZEl2lZB+94sUxWJloDzuqinrsceH1rgqUtxDvaEube/0c4HivzoaLzAw6dn+fKxSXoaPHSF3RvWYoMNgh/WeuiyDEHPNV01W2F25WUyRZ2LdkJwzyoQ1X+v1uwXFPEBl4oiSRQqQqI76NIo6QKRsqtV6DQ5VZnuiBu3pmCYFluafHgdisipISQKgm4xqGZKBgGnKirz/wN8ZD9LS+bKjMxm6GnyE/QIouDeJj9zyQK6YV635Eq9maZY3XscCv0x7wqG+3rgT9X7u+pNiYmnupLPlQ3SBR3dLl6FlV5nvRdZHYyXewXV69V7UVVvE6560KzYfnWfVb2wOg+w6s3plsVCtkzIrdbaXO9Z1nvkXQ1u25Nb3XNf3j/ysnsW/SEEPi3LWtUjX8vLrg9hS4Akr17ecD1W9c6q97dae1ZrU723uMRLXOM8S56pdVVYsv4dqr/WWv1TRX9KiLZU3/tqhKi6bzVqBLA55l0TtLbeO3ItMyw4Np5iIObjgwc7V4hztofctARd/MFjFzg1labZ58SyZBQZFHn989/wVNoWdvPug520rgMjlmDViSno0biykGM+U3rFCuMKFYMfnp3jUF+ERt/N4WGrrqar+cj61XUVpFDvBQar2xVq9Q5LlSPFixRxazTaNSvXa+PxAqenUrx2a9PLGqSvx+YyJR47M0dRN+iP+birv3H9g2zTDZMfDS0wHs/jVGXevLv1mqs6n0vjffdsxqWpbO0IkSvp+Fwq7Y1eDNNcFRgR9GhEA851B6/5bJmh2WztQ35VX3iJ0GCmZHBqMs2mRg+TqSIZm++syS5a1RSZXNlgeC5HqlChqJu8OJmuDVybol7abQSgYYqQ4XhCCGRqikx72EV7yF17bumizumpDDvbAownCixky5iWRUvQRX/Mi2FavDCWojXoIlPUWbQLsYNujYGYtwZSKVQMLs7nSRUqtZB31OegL+rFoYpJdngux2KuTKpQIV2sMGOjC4NujT22zpNhwUvTGZIFnYph0hFyM7is1tCyLBZzZUYWC+RKBrIEjT4HvY2e2jdxeSFPvmwQdKtMpoo1NYG+Ri8x/1WC4iuLeWYzJUq6CJX7XAqbo14CrmsvgG/EKobFyGKeuUwJw6YA6mv00lAHcTYti/lMmdF4gVxZoEkdqszmqJeoz4FlCd7MkYU889kShilqkbobPDVYfb5scGIiTV+jh5l0ibRdPhPzO9gU9eKoK7YfjReYTotidKeq0Blx0xIUKscTiQJpW/h0IVemp8GNacFYvEDApbK91Y+miFDayYm0AMEYFttb/bQGl5b8WJZFviLaHc+VxTsiS8T8DpFPXK+rLcEnuK3Fh1tbPcLQEnASdKkCHarK4v+KhNuxfr7shiemTU0+fvt1AysKTleznxuM0hRwLUGXNXgd7GgPcm46vXphxg1YWTc5Oppge2vguiemdLHCk8OLvG5H0w1NDi/HBK3P2td8biROo1cMKqt9nHOZEifHU9w7GPuZTUwuTaarwc13Ts0wly5d18RUpTOZz5R46MQU926JXXNi0lR5CeNxlUjXoa4BoQV+/YGB2mBzLWv0OQi4QkynSwzNZlfk4yxLoEfPzWbpjLjpinhIFipcnM/h1mQ6w25cqsymqIdkXufMdIbBJm9t8VFtq2VZTCYLDM/l6W30EHSppIoVhmdzgESnnQOwLMiXBdmp36Uw0ORFN2yYut2mkm4yNJelJeBkS7OPsm5yfjYnWB/aAnZtjvB6+hq9ODWZVKHC8FwOTZXZFPUiS9ARdtHkd3ByIk2jz1Gjjql/hxQJtjb7KRsmx0YFQ/jy/kkWdF6czBDzO+hu8FAxTC4v5ClMZ9nVHkCRRH3RdLpIoaLRa2uvXYkXODOdIeASCrQSYvXfaisTV0yTC7M5zk5nOdAVvKHi/rXMMC3OzYgJd1PUi1OVmU4VOTmR4kBXiKBbkOzOpkucmsoQ8zkEFx+iFs9VJ8x5biZDqu48c5kSpycz7GoP0ODVsBDP9NxMlo6wm46wm0xRZ3guh1OV6bVLMS7O55lKFdkU9eBxqCTzFc7ZdYxtQSe6XcA6aDMpnJ/J0hpysSnq5exMhniuQlPAiVOV2dMRIF82ef5KYkWdXfUdOjmeQjctuuyoTlE3aowT65kkSXRF3CzmKsKDX+XZpIuiZKEz7K7lHdUNDvQ3hyiT3wAAIABJREFUPDFdjQmvuyfb2gJsW0Z7nsiXmU4WaQ2JuhHdNBlZLBDxaDWt+fWsUDEoVoxa9brfpfJ7Dw6irOKKr3UP1W2ji3kePz/HA9ubqC8brN9n+bHXOvd6ttHjDdPi+2dmuXcwRl/UuyQ5XP17T0eQ3R3BFS/UjbR7o9sDLo07NzdydjrDYrZ8zXtYboossaMtgNep8J1TMyu2X2+f1vdFFYHk3KBWgeBBEyrIa5llifxKry2wGPJozGfLLOYqdIbdqIpMQJEp6xaSJDzmwDJGhYoh3u+2kJMeu7A87NVIF3XG4nnaQs5aXsY0LbwOpTYQ1t9nFSHi0cT2augxWzKYShWpmBZOWYgUbrU9G0mSCHs0FrJlEvlKjSXC51SpqCayLBB7y9tcPdahirztqmAiYDSex63JbGny1fZxqTJHx1LEc2WivqvCfINNPoJuMeyoisTR0RSZkm6jFEVNTPW6VWDGuekMuk0L9UpZpqgzky6xuz1IzC/a53epLOYqjCeEB2KYwqMKuzV2tAVWjHeSJJEqlJnLlNnZFqDJPk/Ypnu6vJAn4g3a927R6HPSF/UgARGPxmJOvEM9jQKoMJEssCnqpcMmZG7wahR1k8sLOZrtc1d5D/0ulYlkgZaAi4hHEwuBilFrl/D6V0fiWcCMzTB/S3e4xiRf/w2tOGbZNylL8NrBRv726TF+PLzIga4gAZdAr1YMk7lMmYdOzdARdrG7PUDFsATLCiaem+kxbdSkVRKaumFyYTZLo9/JXKpor1IlplNFRhbz3DcYXYKuqyKfqnFVCVsfJlFgLF7gnv5GHjk1zRMXFilVTH7rvk301CEFv/T8OA1eB5PJImen00Q8Dt6xv42BJh+FisEXnh3nyEic6VSJj379FBISb9jZzGu2iHYsZMt888QU52YyBFwar9/RzIGuELIsUayY/O3hEe4ZjPLc5QRnpzO0hVx8+M4ePA6Fv/rJZXa1Bzg+lmI0nqcz4ubnD7TblDISJ8ZTPHZmjul0Ea9D4dUDUe4ZjCJLcHwsxUMnpzhyJcnl+TxfOzaJ16nwuw/043eJl/9/PjHCeLxA1O/gd+7vX1KgmyrqPPLiNCfHU7g0hXsGo9y5uQFNkTk3k+VH5+fobfTy5IVFdNPi7oFG7tsaQ1MEpP3hF6d5cSJFsWLS3eDhHfvaaLuJOkqi3bCQLfPQyWmGZjMYJmxt8fOOfW1oisT/8+PLfOBVnYQ8Gn/y/QvsaAvwlt0t/HR4gblMiXfaNVyvpMmSGGzq/+1Q5DULn1ezfFksokwLpuuIey0L8rbEQjWgIEkSDT7tmrH+oC0jU93usklc6wcQwxTIqSqztQjpXceNb8AsS3DYNQWcS3IZPpeKJkskC5XaxOTSZLx1BcOaIte8pNr5qPaVKUowSiLsdWPLv7UtWaiIa1WM2vOolt9kSoJDsGIKWY4tzb5VARZVDTMJlsiEyFiEPRqj8QIV/epgH/bUP1MLhyrIaEHkJyuGOK5+cRjxakylihRsolRVEahX1UbUaooEksjbmBtd0FkWiXwFn1NdEiK91ndd0k0+88QI6YJdHC+J/F+ubPD3z43z8OkZfE6Rdy8bJol8hUxJ8C9OJIr0NHjsCMbGYO83fWJazcRDcqDKEjvag0gSqJJES9DFqM1ifW42y9kZUZF970AjL06mmUqV6I64aQ+5+cmFBYq6SaddyX73YJT+Jh+//50h8ssQclPJIo+8OMO7DrTxgVd1892XZvmrn1zm02/bjlNVePOuZnxOhcMXFvltW2SvuqorVEz+4keXiPocvP9QF6PxPH/540t8/P7N7GgLYlgWQzNZJhJF7tzUwN7OICmb1t4CLs5nOTme5D23dHDPYJQvPz/OF54d47fv24wii/jzro4Ab2poYWg2w2efukJ3g4fNMS+bY15+4bZOxuIF3ranlb1dIWSJWoGxR1N4/6FOnrywyHdPzy4JQ1UMi799YoRc2eCXDnaSLur8f8+PUzFMXrs1Rq6k870zc9y1uYGfv6WdsXiBzz89SlfEw/a2QC1Z+/a9gt/wK0cn+PzTo3zy9QM3pR6i3iqGRcit8Qu3dlIxTP7u8BU0ReLdB9rJFMWKtmSvJC0LHtzRzInxFJuvgSp7OSZJ0gok2vX2gWGKpPZ8pkwyv5TBOexe+hlKks1wcI2BospAUX9Q9fGLnE+F87NZsMDlEPD1QsXEt05o83qtmqxf7k1VART1k7cqr11LI3SQTM7NZEkXddyagqZIFHXzplBy6aaFaVpMJArLSKAl/E5FwPxrbCxrD6Z6HSCiapIk2UAHq4YYrQeU1Par/mEDIiz7+kvOswrwQao7/kbXiNWc0vVE/jNFY4W2kipLxOyFR/2463EoeBwKlxbynJxM0+ARDBn5krkhftMbnpj+F3XvGS3ZVZ4JP/vkUPnm3N23gzoox5YAkTEwgLGxGXtsbDO2l+0ZM8D34bHH9ufxDOOwPB4HGMbGCdvYDGCSCUKAEUhCICQktaRWtzqHe/vmW7lOPvv78e5zqureuqGDNMy7Vq/urjp16tQJ+03P+zxBFMPxI7qBNvmiJB0PoxiGJqfzRbfsKGwYEXLO8cDJFQzYGuYbNPNDP1TC0bk6qm6I24Rk83zNA2MMOUPFUJZv2GPZO5TBD944AkWWYKoS/tNnn0PVCTCSNzBaMFGyNOiKhPEOWQIAOL3UwJmlJn7ijnH02Rr6szq+/vwyHjy5guvHKE2PYo6bJ/JERNnxe0JxY9893YdX7R8AA1BpDeMfH7tICD5dwt3TJTh+BCeIYKp5fPapOSw3POwZtJEz1bTM0p/RML4mW5Ekhv6MjpKtrVspF2oenpqp4v1v3o9pwVZRbvn4wjPzeJWA/muyhJ+4cwKjeROHRnO47+gCzqw0cWgsh6yh4IdvHkXTC+FHHHfuKOILzywIteFNb42rMsaAkbyOt9w0gqYXIow5bprI4+xyC5osYbRgYqbswg1i7B/OYr7moeIEWKh5eO2BwRfuwK7SVFmCKjFMD1gYWSuQuO2y+CbWsXqHMcfxhQZ0RcL1o1nKTEQG3qvfcDVGZSMJ3hrpAxLSizctka6186sOVpo+bp0siEgemKt66xz5tTBdkaDIEm4Yy61DlCUzVLLIShx/Y0keXaEA1I/ilDwgcbJJRuOFfMtIhgamATeMYYvbg3MOTyAlrzX7g65IqAhgzFYwbs4pu/tPr5nGlYgCaLIEPyQ2+u2KyV+xYzpyoYLf+8LzePfr9uAlWzS+739mHv/85Bx+483XpRLtWwEMsrosmpAknvX4hQoO7yziwcYKJEaOMbyMh2w0b0ARkU8ikb6d1Hep4WOp4eEPv3oqdVhBFENdo5a5Q/Qf1posMcFKTu/pqiQGCamked/RRTx4cjl12Et1H9di7Vhp+pAYOa7kuEbzBiqtINVPKVgqsroiZm3oZo1EhDtf8/C3376A5YYPXZGw2vJJooNfKwxlb+Oc48RCA//42AxafgRdkXCx7GCiSL3I6QEbJxcbmK+5uHE8D+fsKk4tNuAGEYZfIEXc7ZoiIOW9ZCMsTUbWUDBf8zCU1dPFIIUhX215tOPjUUwLY39GS6PTlh+h5obrFuGkVO4KCqPLLdMmc32zFRctP0o5KBfrPjgnotrtmhPQ9U4GNaOYY6nxwuh2lSwVEqPnOyM0wrqG1RkpApRsFbNVFyN5A6baXje4CNCKJnH5LdQ8WP0E4PDCGEt1jwQVJYbt/IKsrsBSZcxVXRRMOrYw5piveigIHahrZUwgNGcrLhZqHkYLRkoavXZYuuIE+OapVWLeGKZxl85rmrRc/CjecJAfoDIu51hXedjIrtgxNdwQz83WUN1GNOMGMR49vYIzi83UMa21laaPJy9WUXNDnFpu4mW7+/DY+QosTcbhHUWYqoxj8w2M5AzcNJbHvwhKnZ192xtY206Uz7G+lp3VFYzkDfzuWw+gaLUvyNr9bXauN/rui2UnLevdMplHy4/w7k88s+GxXY7lTGJtbnhhWpastAIYQu44Pa4exxZzjo8/PoOaG+I33rAPWUPB144v4eOP9VbAvZYWc+DDD5/Dzj4bP3P3JAxVxt88ch7nVqjEu3vAxtePL0FXJbxm/yDmay6evFiFIksoWNtfBOm7CObsBTFWmgFizjFTcWGqMmxNTs/bds3SZOQMBc/NN7DSpIV5KKejz9YgMWDfUAZHZqv47vkK8gbx1jW9ECVbS5v+V2wdN4gqSyhZKmbKDiB8XqJMu9YkBgxkdFxYbZGciaD32dlnplDnihMgiGJ4YYS6S/etKjOULA2qzDBZNLHaDPC9C1X0ZzQEETmUqT7zsiQPBjI65msejs7VkdEViuij7ipIEMVYafrwQ9L78sIYF8ouVJnK72sH9jcyS5OxdyiD5xfoWtmajCDiaHgR9g7ZGMrqkBiwZ8DGkxerePRcGSXR/2n5EcYKBsYLBiyNEJknF5uouVTCX2kGYIxh+jKIj1WZYd9QBs/O1eEG1fT3O0GEm8bXA5s2s5oboO5GcMMIkejZAhR4JqS4A1kdYwUDR+frmKt5MFUJXkhS8dePZlME5EOnVzGU1XBquYWyE+JSzcOdtpaWi7/03CJOLjXhBPGGgf69u0t45e5+GFo7o3zB5pi2a4wRQiiOyftuZCVLxY/cPNL12lSHXPgP3Tjc9d6PdmiTJF47EF478eAK66Ar2uLC5i0Vq60A51dbQoOHwdIU7BnMIGco+NKzC3jdAYJjz1U9TBSNVDrhSi2pcydyzd85s4rZitO1jSIRH9qxuTquH8shFjMrkkSCYmHMEcb0u4MoFv0JytJ29Fn4wjPzeNstY2j5Ie5/bhH3TJe2NYHtBFQLViSGhZqLB08sp/XyZOAwirnQFOLwwzgtf2x10yUUREEUg4P+DsSgLBfzEQlK6+xyE4+eLWNIZEP9GQ01N0QOCgayGnb12/jIty/g1snCZZfD4phjse7DFWim4ZyOqhOg6gQomCrypgJVJhSUvqYkVbTUdYwTqsxw03gOMxUXjk/M5EnPgDGGgqngjqki5mpEawUAg1k9/W3JPoYF5LeXMUazJmsXfEuXMZzV077BgZFsOveiKRL2DtrrhPcSI3iyhHKLaLMyHfIZTZ/Qa5zzFACyWPcgMQZbU6ApioAn5zFXdVFxAigSww1jOfQLdn6AUJw0TNrdzxnK6Sl/30hOh8RyWKz7aHoRhrNUpj630kp7LX4YY67qCQolkidfFszpssS25ZiS+3eiYCCnUxbrBBEUiSDQRYFOpBYBUR7N11yaP4oJkFCy2ttMFE1kxH68IMZITsdowYAhKjOKxDCc1dfN++RNla4za1/X29S8ADtEKNkqRvNZ2IJXMaMr6XCuItO5UwWHXr+tpTNslVaYZppDWaLjWqx7UGUJBZMG1GUGHBzJYjCrYbnhI4hIAn0gq3UHAjHHcE7HmRWa49LkBCYP/MPjs/jO+Qr2DNgYFbNWvawg1qu6G0GTJdj69wEqL1Ey3apsttFithnkOXl/ueHjf33zbAqB/MADZ9Bna/iRW0dx2xTNSBgdWFOJMWQ7tFQAUv+8fjSL//rF52EoEn7sjnG8bE8/8qaC9756Nz766EX85uePg3OOPlvDv3v5LvRlyN/ZupLeIF3HCSLV1Dqap4rEBJs6MFE08ZoDA/jjfzkNW5NxYCSHe6b7uhyHrkj4kVtG8bffuYhHzqxirGDg116/l4QWz5XxqScuYbnpo9z08aufeQ7DOR2/9PKdKJgq/t3Ld+Ejj1zAr332KGTGcONEHm+7ZQwSI6qihJEiOce00BBS6s03DOPPHjyH9/7TM+izNdw6VYAb0gIec+DTT17Ct8+sYq7qIow5fuXTR7F/JIufOTy56UwWAJxZauKvH7mAlYaPlh/jd798An22hnfeM4WdfRb+9e3j+OijF/HYuTKGcwZesW8AFwQoxtaVlBonqyvYPWij5UfYd5kCkwAptx4cyW66jaXJuGHNqIPEGHb2iIaTxeO6DRQ7kyBtehNuSVtX1n1f1zFLDPuH1x/zQEZL0W8AoCss7S122tpRjITCa6pkYaq0bnMMZHQMbBGAUZ+JYccm1YuxwnpNN0PtPreSCKhG1gyDHui4Rrau4OaJ9YKOl2MxBx4+s4p7dhVRsFQUrI2Z65NrtmuTayYxhj5b23DMxVBlXL/mmjLWLf6YvJY31S4hx04byrWDGFOScX0HefXejntusmSu23ev3yUzYDhnYHgTvb3bJvK4//gy5msuZInhjQeoP805x2zVxd07i/jZwxOpE97IvDCGHxJb0HZsSxLX9B+cpzBOgFRp/+PHn8FvvfUAXn1waMOPL1Q9/PZnn8PxuTr+7KdvwV3TpRT+KbF2y4KBbhgG+n9Sw/Ujnup7JEiSZFvqNVG91wkiBFHchpej7RSafgRZzHYAAkbrEcV9Z3Tgh3E6C2B1cKYlAA4nIBipLkspdRANYEYw1PWy8JxzNL0IqiKlEXAQxXCDGLZOpYMgikX2QBFgAggxVAlxzOFHHFUngKnKmK06KJgqBjLUo6i7JH2gygyhyF4MVYKhULahKQRpdoIIjAG6QrpCmiwhiGIcW2igaKmYKJiIBDQ2owvtoZiyn+R8ZHWSWjAUKgXSVHl3L0WRqD+wVcYURDEJBnbOi4HB1umcx+JeCyMOXSXQgBfG6fVr+fR7LI3KlXWB4lpbqkoi44QQNeYcDTdC1tj8GDnnqLRCgutmNi8PxpxjtRFQKWmTBe773ZLn29TWM7iv35b+TjYLI5ITNzQ5XTE22kXnZy/nO9da3QsFgi/AwZEsGBieuVTDYFbHgeEMnpypCakPGboiY6pkouERe4UfcTw3X8cbDw4hijmOCMXVSZEtPXGRSmm3TOSuWn8tof15sYf2r5VVxGC2G8bQZRoGHshQFvbFo4t4YqaKn75jHP0ZTVQHevTZGdD0qQLj+BEKbRq7DU/KtjOmmAN//eA5fEFoMLUEYuoDXz2Fv37w3Aaf4Vht+Gi4IW7dWcTBsRzV1X0q+ygyI5w/oxJGEPLUoybwyiDkgAJoMoMfchgqQ8TJiSgSE6ktQ85U4AUxFJkW9ARg0PKpRNQJw5Ql1nOYUFOknnX4ZMhwo/c2Yi1gjK2jY1JlcmA0cNlC0VJQNDUsNx00fSodrLYCjOYNLDd9WKqM1VaAqZICW1fgRxwXKw4GbA2Xai5iDuwoWbhQbqFkaTBVGSeXm8hqCnKmgpKlpcddd0PM110Yioz+DKXsWV2BHxEVSn+GZMSXEhqcnI6FOtWfE4bs82UHRUvBUNbAlXZFVFlCwdr4gZdE5tFpCXAlKfkBAqoccaiSJIIccvBRzAUQgWOh6qMvq8HUCBmUwJfbaFFCHMWcpw5eFlHyUt1HCVTyc0WpUlckKsEKOLGhSrA0GTUnRM6kfaoyS5mylatc2F4s4xz47rkyDu8qbcoyDgBVJ8BCzcXeoQwSepzZsotbpgqIOccTFyq4barQc+7nyYtV3DCWgyJL4jsrOLyruOV3rrWmF+Lp2Rp+6MZhWJqMjz85h+k+C98+W0YsqI1unyrgq8eX0Z/R0GfTUHTLj3DzeA7fPlsG51Tyf+xCBT9y0wiyhoIvHV1E0VLx3HwdBUvBvh4jCJG4/rRGIS1rU2MfiGJa+xSZiSCYhkrVDoh/O2iifcaiF5gqJoj9cPBUPJEn3yP3Vhq4VhbFHPN1DyM5HQ+cXEHeVJBbQ/vFALxsuoSTS0381n0nMZjRKMDosb+7dhTxij19aPnRtlGa23ZMEgNetq8fNSfAk+crqWpnWXBt9fwMGGxDxu27BvHe1+1BVjR8ZYmGs5LMKWUiFv2RMOJg4oolGVISWyeDgulnBRIq2SbF+7P2xVZlhvhKcI5XYJ0Z6GZRuSwRMqbsBLA1crJ5U0XLjxCLnlkc8xTNZWsyyi2Gok1qpK0ggiJJKFoqZImyof6MhijmsFQZJVvtmivgnGO1RY6uFRClSlYM2IXie/pExG9rxIgOkCNIZDhmqzQE7AbrT+bazPtKh3C3YpxYqvni4ecoiiasG8RYbcYYzmuYWXVRsEiLKOl9RVEMcAlRTItq0VbghxyLNdKMkSWGxZqH0aKB1UaAnKmk9x1Ai4XrR2h6EfqzGsrNQDBGJJkz0thvpe6jlCW9ME2RkP2/wDFxznFyqYnj8w0c3lXC+ZUWHjy5gphz3DpZQMnW8MCJJdiaglfs7cfnjszh7HILL9ndh5fu6cNDJ1eoHMQ5Hjq1gn8+Mofzqw7uni7hxHwDL93Thy8fXcBUycI/fHcGz47l8NqDg6g5IY7P13HXziLcIMJXnltEzQ1xeFcJp5eaKLcIdPGmG4bXlbc4qLRVtFTEnK6rLDHcuaNAs0iGkvbqGJD2YDnnosfSvj9Llob+DPXDyq0AA1mNmBw2KGHW3ShFDdq6hDgW90hAWX3Di6Ap1N9OnFYvpK0bxCnIIIzajqoVxcgaskAeA7JERAPU9xVB9hX6Jc6pMsJBRNQ02BtT70ccuxfFKDsBRnI6CqaK5xeb6LOFsKapEkcggM88vYBHz1UwkBHBL0dPODkHT8EpwPbWhm07JsYYbpjI44YJQo/dd2Qe//kzR/Hu1+3BS/etl8SgzwCmKmMwp6cQbXBOPFPi2JJ+ShBxwehAkGrOyYEpcrvEpyu0CCQsvZLYTVJR0mRJTCTTa5IEgAsG6BdhfaDSRAzHj1GwlE0pVGKOFA5tqJSp1dwAQ1kaGF4V8u9USqCbydLktEeVN1T4kUegA4PUSxna/TNVlrCW29TWZDT9CFmd3sgI4T2ZIYURcwBVl5rgQcRRsjXMVBwMZDTYmizmr9bfNhxAuRlClRmyxtUNcbpBjJoTpfvNmXIK1WWMgCphxNP5kjAiGXQOup+K4iGKOd1LWVMFYwRZTbItx49g6wqKdvu3JFFp1+8SmZUXigxLrDAFS4WmrBmYFBlywwnhhzHyFvGt+WEsAqTLZ47nnMMLCCSiq9srecWcw/MjSBJrP3diX75ggUhMYgy6KmF6wMa3Tq+mytIR53jDoSF86ZkFHBzNIo6B26YKyBgKbt9RwEjewKuuozGRmycKOD5fB2MMt0zmcXqpiR++eQTzNQ9zNRcAcLHs4t69/bhuOIO330ZD2wMZnb6Tc5xZbEKWGH7g4CA+//Q8wpjj7l0lzFU9nFps4tapbgUChnYVRGLAoZEcVlsB8qaC/UNUyvvGyRU4QYQ9gza+c66MikNlv5NLTczVPTw7V8eOkpUO/jLGcONYDrNVF3G88ewQrWuSKMW3daSCuC0/H8W0NikS9XN1tVv8JJn/ShgdTFVCxQnT9TAJwGMO8AhUsZFZ+hxciXHOsdIKCIQm2h8XKy7GcgZmHRcTBRMzFRd5Q0EoFtWmH+G2yTwGRP+slDxbMZVDb57I4ecPTxIga5PDutxjvizwQ7JzW1dwaDyHnKlipGBi3xYN5LX76DpGlgxwMXDhRBgYWEdJL/nBGy30yeud76f/Zl1/veAWC1TgVvBuRWIpJxYAjHQ0IEfWNCMni91N5aTsMdnx+aRBLTNCegEUFCTGxExT58RZ+hmJoU+hG4+BKOsT61c09IubclNJe94WjLta0xQJOZOClaoTdWW7MQccjxSCdUVC1QnRlyHl0eR3Jn8zUX70wxiawtLINYoBVWGotkJ4oZSWYFwx6JyDIpgaaPu6E8LSJARh3NVDSXqMkchuo5jD0mWsNgPKxBgwX3bwb//0m5gazOAP/+1hWJcpUR9zjnf8jwdwbrGOz/3G6zCyDT2f84sNvPX99+OW6X78xbvuTdGKcczxcx94EI+fXEod8PU7SvjH972yqynEwAhgIrLOg6M5mJqMzz41hx+7fRyMsS5xyk5jgi0/CSapDBrBS3jc0Fs/K7memkKZrSZLKNkaak7Ycy6sP6Ph3t2kA8cYw8umi6g4IWSJIvO33jCMph9huRnglvEcGgO2UP8lluufuG0sDaJef6AdWN8ykU9JVTdCRibZVxgjZfO2NAl+RL/R1CS4AfWHdYWlJbi1tEYJjRChWWlfa2elVLnNnrFFW2ZblkDQdYUUkE1VwmBWQzMI0fCoxzyc01OGh7yp4PhCAyclKh/eNpEn4JjEcPfOIk4vtwBRweBSb2aPpJ+YZK6Mbe2orhiVN1IwMXaZ4k8bGWMM1+Cc/x83QmVJsDXpqucl/28zxoD+rHrVlzBBC5maDDlqZ06JSYwWNnJe9ID4YYz+rAqZMeQtpWNfFOE1vBB5iUqbpiqh6YXIGgoiAwIMoaAvo6HpRSjaBKdtuiF0RUJLvFZ3Q+QthSJf1gbNRDFlNIrERCmHZMwTTrhK08OTp5dRa/lw/eiyHRMAzK02cWGxkUaxW1kQxTi/2MBon901EM0khh972TRu3zOAi8sNfPi+Y+jL6Yg5x5GLVcyWHXzz5AomiibJtTMiNj230sLRS3VkDQWqQk7rW6dW8O3Tq9g/ksWj51axINjZp/stmKqMLz27gJfu7kMQc3z+yDxMke3v6LPwuSPzeM3+AZxbadF3nljBHTso6/rsU3O4ZTKPmbILRRKZRo+HSZEYlI5hYUUmdpTEskJy/raJPFRZQn+mve3aflamA74sS2wduo5zjqMXylipu3jpgREqJYthUV1hAIin0BbgjyDiorxO65qpUn+zEy6euOaE8w4AbF2GF8SQJYhAiqWZPjHGX/2iQkSrNBhsqhKWGl66VmmKhFrDx0rTT4OHG0azqDohKk6AsaKBiQ50Zc5QsFD38FtfOoGRvAFrg4z+5vEcbhzNIaPLqLsRcubWFZVto/LWvSHS7/6s3oVG4gLRRUJo7R5Rr0Yo0G4UAhDsB+LAOsoPQJveZ6NtgqjN/RTG9Fqyba/vTvpRnfvs3F8Ut4PItY3NpCEJtIXikuNLrLPR2evcdX4/QyKsdmW9mbX7A5Cei7XQeqCAdI0tAAAgAElEQVTdrGVI5o56nCP6QLotQOdjrXBbzHkXH9pm5xzY+np3mh/FWKwGKFgKbJ0WqJW6j4yhrJsr+n6wBKHHuXDSjMEPIzxybAHFjI4bdpQu+/pGcYyX/+rncfJSDY/90VsxMbA1LP7EpSrufM9ncHj/ED7/m6+D3AMtenG5idvf82nsGc3jgd95E8ASkb/2QpkEAQwJKKTNiZeUNGWJIYg4AA5ZkqiMzjlikU0kWWoy48ZFRUFJ36P9d26rygRwklm7tHq1ooBXY5xz/ML/fAhuEOEvf/leeBGH2VEWvtJ9uiE9O7YuvWiovZjztHdXsjS0goh6TQJZ3PAihDH1nHKGgvuPLyNvKBgvmnhyporpPgsHR7IIY44//PoZ0vDaojx07+4SXrtvIEUQd6BiN/zRVyV7Md2BnU8UMWtuhJYfpTeUKhNiTlfWL/xVhya3k1KNxADbkJEz2ho2STnHD9vqmoYqIWcpkMFFOQVYbgTICAi2F8ZpKcHSJFLZRbv04oUcNScUDxQE9Ji+N3kAqk4IidED6YUxDEWCpUmoOhEizpHVZeH5afuGG8ENeLroDubUntkk5xxOEKPuRmnDkzGKnEq2suUMUK/9rT1HHPRQZww5hW9z8XrdjdDyorQZq0gMOVNep5xL82cRWl7cocxJ5Y1Spq2qEsUcq80whZjbmtTVt0ks5jT4l1yb5Hqbqoy8tZXwedtKmY0h2ZxzNPwIYZRAyxnCmEYI3CBK4fJeFCOrKWj4IWTGYOtKCsm/mho+A9CXaQ9eAqQZ9fLrRzf51Itv68rp2JioNAEmrV2Eu2ft2PrPiN2tl10HtMTxrXmvc9tkl98PlYdK08fjp5ZxYIL6XPY2GbK3MkNh7R/6Ilkyc5VY0kdLkMXFNWjZhhfh1okc+mwNK00TdQGKkhnwnlfs3JSGKLEkoDG07TPyX9MB26oTwQli5E1aYOOYxKLKzQD92fZCHXNgtRkgiDiyhpxGv0HYJhTknLYrN+lElGwlhZdXnQiVZti1QILTomuoUioZ0PJjNNwImkIlFi7S7NVmAFVi6M9Qwy5xVJxzFEQpiIOagwWL5M6rLVp8S7aClh+j6UfIGHJav89bCnLiGJJ+x1pLEGQEEpBQtKm8EcWkR3WlQmhVJ0IUc/Rl1BS+6gdx92IjHE0yx5OwnzfcCOUm9Wk0pe28aw5ta+lEnpvMjAHdYY4iMQxkCRm1VNtYlynJzohNgfbQvj5U+tqObeY0gojjxFIDMiOJAVOVUXGCdPhPUyTM1lxYqoyaoLNhAHQnQMUNoMsS9g22NZAuLjXwnecX8frbJnBuoY7jMxUcnCxi31gBqw0Pjxybh6bIuHv/kABYtLPIrz5xEYtVNz22gbyBV904til83A8iHJup4NQlolg6MFnE1GBmw9WZrlOAI2dWMF9uoWBruGlX/zWviMecY6Xm4ulzq1iuubB1BQcmi5gcyGyL6WM7xjkhH4/NVHBuoY6Yc0wOZHBosghTX69eyzlHywtxaq6Gcwt1tLwQGVPF7pEcpkfyPSsWCfjj1FwNp+eqaLqkAzXWZ2PPWB45U0sDU8455sotnJmv49HnF3FuoQ5bV/CP3zzVziglhjfcNoGCYF0NRelZF/Iem9naIPBKeApfDDs0ksGnjiwQ0AcMb7meiJIZIzBGUi2qOiHqHnExJsq9SZAeRhwtN0rnNQeyW8/7XTPHFMY0LJczFViaGD6VOHKmgqV6AMePoRh04t0ghh9yFGxF9GPo9c7yO+ccjh8jiDn6MyrVaxmDInFBrRLCC3gX8kxiDAVLSUtYiaxEUvsHCDUHDhRsJSUUVGSOiFP909bbzjFpDkYcqDnJnBNDzCU0PYJ1y4JmJUlMt8ruE6hpyVbSMpo4+is+9wnoQFPaZdOEbaJdjiTlTVOTugZMFYthsR6g7kXoU+gCkA5OBEuXULTkjuh//XcnPSEmSrcbGWNA3uwebJXE9fFDDku7+uhYkojNQpMlZHQFSw0PQUS1/6yuwFBkyIzBDSOYioxqGIlMmNCKBbO7R/bkmRX8+z97GL/9b27Dh774HC4uNTBctPCBX7gbH/7yMTz47Dz8MMKPvnQaf/Szh2GKG5hz4B++eQoPPTsPxw9Rbfq4c98gXnJgeEPHVG54+C8f+x4+8fAZuD4NZedMFb/w+gMbZt7PXSzj//2r7+Dxk8sAOFRFxuRABj//A9dBu0alziCK8ZlHzuL3P3UEM8tthd+speJnXr0P737z9chswFSwXeOc4+SlKn7zo4/j4aPzCKNYjJUwHL5uCO//yduxf6I9F8U5x3eeX8Sv/9138fxMFYHovcUxh2Uo+OG7d+K3/81tyFndZKOLVQe/+feP48tPXIQXRCL45VAkCXvH8vi7974CO4YIyOX4EX7pQw/j6IUy6q0ALS/EU2dX8KsfeTTdp6bIuGW6P3VMEmPg4Ki2gm0HWnRsQM0JUbC//wa0p/uJDd8XBABWR3+Oc44zKy186ql5PL/YhB/FePnuEn7mrgkwAE/N1vD8QgNvOjQEXRXBbfgiZ0x+SGUpL4i70rWY08BRJxO4J+CzW5VNvDCGLDxzJ9oqmU3wwrirkakp3X0Vhva8FEBZkBdSZtLJcpswLdQcWiSThSCNjCD6K2k/BCk7xeVYFFNUb2my6MNc3uc3MkuTUHMjrDRC2JqU3gSd5zaBnq5FGkmsPbwci7q+H1JZditZ8su1mAOBgKHHor9At8dlnsgNTGbA3oFMOquS09slXMYElVDJovkmgecdzhC/XLEj4+k0x4vwd18/if/847fizHwN7//4k3jXnz+Clx4cwT+875X4w888jc98+yze9aZDODBZBEDn9EO/+BJ4QYQTl6p46/u/sulxh1GMP/3nZ/GXXzmOu/cP4xffcAB9WR1Pn1vFh+87hkvlFtaqMleaPt77F9/Gd08s4SdfuQc/eNcOcABf/t5F/LePPwlng6z9coxzji8+dgHv/otHsHskjz/6ubsxNZjBUtXFX3/lOP7gU0cgSwzv+6Ebr2qQeL7s4Oc/8BBOzVXxS288gHsODAMc+PrTs/iz+47hlz70MD7+H1+FoQ50qm0osHQFv/ymg7hxVz8KloZzi3X88eeewV/efxyHpkp452v2dV3TD37hKP73g6fxjlftxVvunELGVLFSc/HkmRUslFvo70DDGqqMP/75uxEEMZ69sIqf/qNv4BU3jOJ3fuqOlH6MMXT1/BKJmkQCJC2H+5Eo1ZPMeqUZIBBgCUuXsVz3UW4GcMNYVGi6n7swotJ/wSK0aN2NkDcVaoUEMTKGDFuX4fgx6i4JF5YyKiTGUGlRxSlMKyqXt+g8fKaMm8dzGMhoeH6xgZgD+4foGZupuPjjb5xDzQ0xVTJxdqUFL2wDdBiAzz+7iAPDWezqs9Lh8+3YNXNMSdoWcw6+ZppMV1nXAcWxoInZxj4FxqDLGBNQ1DWeYTsNRM7X18vps+v3yXr8g250vmXDr5cl7Am9wAFXbIyaiYrE0PAirLaSvklCD4SutJroeVjHx5mgvG/T1scCkXGlYIy1lvTByq0QUUyUSNeqBNRpjDFRsu/dwwCExo6YgbHUTjXV3scSxTHu2T+Et9w1hUrDx99+/QSWqy7e84PXY99YHhcWG3j46DzOzNdSx8QYg22osA0VI8Vgy8Xg0moLf//ACQwXLXzwF+7B7pEcGGN4yYFh9OcM/OyffhO23g0weuDpS1RmvHUCv/tTd6Rov3v2D6PW8vF3Xz95uadvnVVbPv77p4/A1lV8+Jdfhn1j+bTUe/OuPrz+t+7DX95/HD9+725MDW5/ZKTTYs7x9w+cwPdOL+F3f+oO/OIbDkAWC/89B4dRdwL8xf3H8blHz+PnXnedCDIYDk2V8E+/9hpoqpwGH3ddN4hSVseP/t7X8C9HZvHO1+zrOGfA904uwzYUvPsthzA9nEt/yxtun0S8ZtRBkhh2iN9Uc2ioO2uq2DOS31R/bq2pMlVxlmo+WiKLbXhRSpYqMVL7dfx4Q8fBGEPdCWHrMpoe9abrboiWF6GUUTFf9aAphmC0UVBzQlRaIQqWiuWGj5E8cUteyeO23PTF+aPANSEB5gC+dmIZbhjhV169C3sHbPzGF5/v+uxwjkYOzq60MFU0LyuQv2bQpuQBz5sK+jPquj+djMWMUZS81XHSgop1TiB56UqQLIz1liAWid0Lio5pO9SNGQ4ue5+g82RqEvqzKgYyKnSVoeZEqLlR13ZAu56Ntf/vaIjTILQ4J9fmMFETfbD+jIq+jIKCJSNrXD5H2rUyxrbnGCWJYddwDhJjyNsacqaKgbyBoQLJQgzkDer1XIWY3ZGzK1iqujh83RCmhVNKjvElB4YxVlpP/vTgs3OIOce/umMKlujBMEbw6jfePnnF/cpOe/Z8GcdnKrjrukHsHMrS0KfgdhwpWTg4WcRi1cGz58tX/B1NN8T9T8yglNHxmpvGCbUXxQgj6v/de/0oOIBvH19Yh/7UhVOKORCJ45oeyUFVJJQbXte9yxhwaEcRdSfAH3zqaRy9UKa5NLEv5QqGn7cyzskJlZsJyIvDFMquyw0/ZVBRJAZJIgBKr+chcV41J0TDDZEzFbgB8Xqu1APEMZXzW36ESiuE47eHqFWZ2HcM9cqQfyM5HV8+toTvXqjikbPlVOQy5hzPLzRx01gO1w1mevLkWYK/suqGKVHAdo/gmmVMmkwZkBvE0JTuXkKyECYRiqZIcPwYfhivQ4N1mq7QbEgQc2is/fkgpOheu8yHj4EG95wgEiSlPN1n0ghXX0CUTKKI6YUxOCdHfbXPQue5ZRDZqcIQxSHcIEZezAyosgQJBPQwO8Y0Yk5Euarc7o8l59UVFChXO2CWQIRViaVNaQ6xmHB+1ft/IU1ixOZAmSX93zbUrgY4R+9gZ7s2s9xEGHHKlNa8V8rqKGQ0VJptYAkHcG6hDk2RMTWYWZcBTw1mr8mg87mFOhw/wtefvoR73ve5nsfNObBUdXp8envm+iHOLdRRbvp4++9/bV1JsOEG4DHHUtVFFMdQRSwdRjGOz1TwL0dm8fTZVSxUHDTcAA0ngOOFaaDZae960yGcX2zgkw+fxpcev4C79w/hbffswitvHEWpQ1DzSi2lEhP3exjFqDshhvJ6Wt5LhrA1haHaCpA1ZTGGQkwmmrIehs4YQ9aUcWHZha5Sn9sU+lFFW0EcE6JxtRJgKKd1BZ5XexfcOVVA3mhioeHhFXv6MJWwlnMgiGNRdej92YS3UlcSJh+2bQXla+aYVJmi9oYXiSa0lE4EByFpDsmizGKqEpoyQ6UVIW+2IYtJHyoBOpiqjKYXo9ai4UZZIoRHzYmgKu3hu+1mH0yUuJwgQtUJkTNpiNAPCR1GDOGXfymTOSL6d/tvmtFofzcD0QBVWpRqZwziaYtFqUvvcVNuZTEHHJ+YDdIZE0Gdo3bsS5ZIs6cpeLwSRcmGR5lMrkMUTxHXsulFkBlgiGHLhCbFXHPeOdoZZ/vfvKu/k8y7EFs87avqROsysrX77Dy/yfT4i4leYkBaWkrsWmd5fkhM60YPdIkqS+v7NxxwQ8EY34P8lHoUV3+MXhAhjjkGcgb2jq2Xmtg7locksW3NVm1kMSc6KUOVsWe0d5nslul+HJoqpYi5MIrxV189jt/75FOIYo7b9wxg/0QBBVuD40c4MVtdtw/GGMb6bPzVu+7FN5+9hI998zQePDqHrzwxg/2TBfz6j96CH7h1fN21vhxzfVIOkCWGWitEwVJQtFW0vAgFW4Guyqk4JAPDYI74+VSZ+k91l8pvvdaAhNooZ1KQlNB+NT3S/ZIZw0BWQ8sn5QIieiX6rqu5E4KIo+wEsFQZGY3Wj6wI1EbzBs6utkg/bQ3YhnOOE0tN1N0QO0pmOlcav9iOCQAKFjXk6k6IWkcQRYSXFHknIIKiraDaClEWzbnEEpp6+hxtV2mFWKoHVALk7brtlQSFqsxQtBRUnQiLNdonODnHgqVc0UX0wkRzCojEbNJqM6QIW6Lvk2lFhaVLiDldYKfebhRKjKEvw64o0m36EaoOT5GByTnqnLBmjCFnyOAcqLZCVNPXqfzaCURhTDAotELU3O6SoCa4/ZKjTOanEqofN4jTa0UIQAUAPUjlZojlekALDIdASnb/3mTeiSiBxOyVF6EV0DwSQd2/fzOsK7GcqUFiDKt1d917rt+m80mNAUVbJ+feXA/RrzvBNSkV521im3/pwRH8wTvv7BkQMGDdAO/lmCJJKNgawojjD95514aUS4mGGACcmqvh9z75FDRFxt+99xW4cWef4ASk9z70xaM998EYQ8ZU8YbbJvHqm8ZxdqGOjz94Gh++/xh++c+/hc/8+mtx486+K/4tlk5ghk4r9kDaDebWk8NuJpkSxTTOwhhStB9j5KQ6A0r6f/dne33/5dhDZ1YBAPM1L1X5vW2SFHVftquEDz50Hh99fBav2dePMIrhhTEW6h6OLTTwiSfmMFE0sH8oA0MEutsdjL9mjokxBgkcRUtBaLTZAJIbqnO9JTgzTccnCC2AFvHOjCXZbiCjwo946nXVDlg0bUcObO2iXnYCzNWdLuG2BIGnKZLQcqKmpyK398k57yIiZSDFUuKtinFiqYFyM8ByS8Gh0RwUaeM5HIZ2iUwcLbIG1ZnDmOPUUhO6QhLxyfPtBBFOLTWxd9BOnfRGJjGgP6OKYd2O89iD0YExhoIlI6OTdAPB79czNTAQmrFkK2n2lfTfVHGekoXPEKWFXtZWb6UseCCrptDeJAIMovWRFmV/Gwx8buK4k5kKkkdpz14lGXln2fP7yfaO56GrMp46swI/jLuyoEurLSyuUTVmAA5NFfHPj57D0+dW8aqbxtIsjnOOZ8+vbrtkspkdnCwib2t4/NQS3CBKYdGJXQvnZxsqbtjRh/u+dwEnZivrSpOd35O8fma+hqWqi7e/dBq3TPenWRbnHCdnq10I4F77YKI/tW8sj9/41zdDlSW8/xNP4PGTSz3ZOZLPdIpqvtgmMYbhvH5FwXgv2+6zUPci3LOzgHIrEGXK9uduHs/hB28Ywmeensc3Tq4giDnmah6eEvpWo3kD77xzAjlDoSrXZfTxrmnG1Ilw2kpeJe2JbNHTSUpBxiZXhJr/vb8wIYZcu0B30qv02t/a4zI1+n/MgZ0lC5bq4UK5Bc65KLdsd0AUABgUmUpmbhhBktZPyG/39t/qt/T6blVh2CqO2mpbL6CyBZUWtnec9Ju75yBafizm3ug1J6Coq2+TSG+jxYEDWKz5MDUZusIQg6WlDoCj3KSSsIQXfpixC2Cy5vW1331wsoiDk0U8dnIJn/vOOfzg4R2QJQmOH+IjX3seSzUXObObv+21N4/jg184io8+cBJvuG0iLbXNrrTw9w+c3NAxpcfVo4S69rimh3N4422T+NiDp/D7/3QE/89bb0BBsAbEnGOh7GCu3MIt0/1XDLbQVQk/+co9+NpTM/gv//sJDBRMHJws0pgHqMf0/EwVu0dz6MsSnNs2SGn50moTLS9EVlbBOQ1E/8nnn01BDZ3m+hGOnFvB7pE8CraW/lbHj7BQdaBIEvIbKNDmLBU5U8Xzs1UsVBziIBTn7IVAl641iRHD/kYOG2gH1EnHdqtjaor5zv4thDCvH8ngc88sYq7mwYtivOVQWxRWlhjefGgIB4ezeORsGRfKDvwohq3J2D+UwT27Sui31bQ/m5DHbhVsAy+CtPrVWnry2dbw8s7PRDFHzlCQN7rLc5wTa7TMiI+Li393ZhfJBY47MoUEOk3lJKVL62jt9xLvXeLI2vNByc0Ti/7T2tkUOjYhnz2U6coOkvck1u5fdR5Xsk2y78SoR9J+eBL0ThiRQ7UFgaUfcTgeDf8mBKQE0qAMBIDQLqLS5WqDIqiIU8/J1OSU2YIAMJIo1SFV+E2ITgFakFpehJVGAN+QBYcW3Y41MZ+R6CJVRbm3aCtYrPliDo2oj1bqAWIABZMEDxtigBkgFFPLj1CwVLT8GMsNH34Yo5RRL5v6abvGOccz51fxzLlVNNwAM0tNOF6I2ZUmPviFoyhldWQMFYevG0qzg7yl4VffdhN+4X8+hHf9+SP45MNnMFgwcXymAscPcfOufpyeq7WvKWO4aVc/fu511+EDnz+Kt/63r+Ce/cOQGPDEmRWM99ldMzmJHTm7gmfPr6LhBJhdacILYsyttvAn//wMCrYG21Bx13VD2CmGTFVFxq+//WbMrjbxv770HL742HnsHc1DkSUsVBxcXG7i+iliJ7/SOSbGGF590xje98M34Q8/cwRv+a/348BEEaWsjlorwIWlOupOgE//+mtTx3Tjjj7cvmcAjxxbwDv+xwO4aVcfVuoeHn5uDlMDWezoIe5XdwL8hz9/BE0vxHVjeYyUbIRxjGMXKnj63AruOTCEew+N9FzQJwcyeOWNY/jkw2fw9t//Gm7dPYAwjtF0Q/z+T9+5Lcb3q7FWQECxYo9y30LNgxPE2NlPc0LnV1sYzOobyrMnJjFG7DVBJDgre7cR9gzYKFkaGl6IPltDVu9uD8gM2DtoY8+AhYgTLVmiON55LjVFQhCvX/M2sm07prULKmNIF/bEIyYLpiIJqnfelkIXPI8pZQ5H9/+Tz8UdEOVkEWx6EfKmvO3oJIg4npmroeqEMBQJd+0sps7Jjzi+d7GCoYyO+TrpGWUNBQeGs2kDzw1inFxqYrXlg3NaRG8Yza1TVV1rMQe+e6GC6X4bQ0J6Yq7mYbbi4NaJAiSQHsqJhQb8KEbBVOF3SIZzDpxcbGCx4SOIYty9s5S+BwBPzVSRNxSUnQBNP4ImS7huKIOSRVFJ3QtxfKEBL6SsI4o5BrM6Do1khaoqx6KgDTJUUtHloJLmfMVD1lDg+jFafozBnIqGF6EqmrheEKPlRxjOU4RFDju5CdsS8+UmgTpWGgFCU0HOlBFGHEsO0VIt1gIM5tp8cklg0Cl+ZmsyiraKpbqfEoCGEU+pnoZyOi5VPCFbQQPTVSfEcF5Dw41I5lk4uqYXpf0uS5MxmNO2TQhqqDKGSxbMjoexP2eIY2LpNiMlC2YHcOG+xy/iL+4/npaoC7aOMOL48/uOASK7/d133EF0Q+I8vO7WcfzNe16OD3/5GI6eL+PUXA2HrxvEv3/TIXz+0fP4WAcVDgCoioRfedtNGO/P4BMPn8a3js2jP2vgR1+yC29/2TTe/eFHkDXVrhbeFx47j4989USaTZUyOjgHPvTF5wBxLd//k7enjokxYLzfxt+8++X4xEOn8aXHL+LYTBVhFKM/Z+DVN43hh+7eCe0y1WfXmqbIeM9brsct03342IOnceTMCs7M12AZKvaOFXDvoRHsGsql2+dtDR/8xZfgTz73DB4+toBjF8sYLlr48Xt346deuRf/3z88jvoa8dKcpeFnX3sdvvzERZyZr+PIuVUoEsN4fwbv++Eb8Y5X7u3pzAECoPzOO+7ASMnCvxyZxf1PXIRlKLhuvLhhpSKMYiw3A0gM6LO1FHBlaZQxNLwQYcTRJwQKV5o+VFlCyVbh+BEqTghDlVAwVVRaAWwR+LXEe6ZKIqFFW0Oz7IjzKCFnqClIqe6GKJgKam5IjCgdwBLKYEKcX6VnajCroWitz55OLjXxjVPUZzIUCf/q4GDKtcc5R9OPUG7RerRRlt5nk7K2pclwfGKf2cq2zS7OOS0MbkCN7oKloNwKEEW0cKsy0ctoClHeVFo0gcwBZA0ZNYeE3HSFoeXH6UBb1pDRElLrksTSXgkX39HyY7S8CHlL6aLS2fSgRXYxW3FwdqWFl+3uSxcSN4jwjZMrKFgqDgxnwDlwZLaGwayGfYMZxBz43sUKYg7sHbChCnh5yVK7osKFmoej8zW8dLov5aQLY46HTq/gusEMRvJ0k18oO7iw2sLhnSVEMccjZ1cxnNMxWbRQcQI8NVPFjj4LB4azqfOvuSG+e76Ml0yXYGtK+pu+dbYML4xww2gOlirjxFITThDhzqkiGAMev1CBrSnYM2BjteXjmUt1HN5ZhK3RefPDGDNlD1N9RleteqWDETvmwIUVF+NFHVU3QhCSMqwfccyWPezsN8AYw0ojQBxz9Gc1AUqh901NTgcBW16E8ZIODmC+4sMLiUexaCupUzq/4mI4r6eSy3U3RMOlwcHlug8GIGsqKWPFUt3HaEHHbNlLP5MzlZSpfLbsYTivQxE6NvNVD+MlIz2+kbxOApPbCXDCGI4fwtBkaIosngHK3mwxOxREMRyvexsvaBPqbmSGEIFcO1bhhzH8MAID9UEUma6bF0TIGOo6pxpz4pgLheS8JEk4udJEpelj/1AG/R0waNcPt3VcmtImUQbaA9p+QGqnTS/CQtPDgaEc9WY3OZecUzDmBlGXztdG24YRnb+kIqD2KMX32laRJSGkSGW7mPN0vou2BwA6v0EYp4jZ9HPS+v1fqrmYr3vIGyqm+ywhcUILcDL71EuWg3NgruoiEmjbjN5Gs9m6nM4bJUi8mNPQecMP0W9rWGkGGM3rUCTidyy3SLhzOKen80sLNQ97hjKIYo6ZsoPpASovLtQ8AQ5TcW7ZwVjRwGzFxVTJ7HKiRCYdpfyXhir31J/65FNzuGdnEf22hqcv1RDGHHftKIJzjiOzNXz08UuYq7mkVrDBffD6AwN4+82jcDqEUVnSK9jALquUl2Q6ThAhxxVCs6kEJggjGh7LGYTcaLgRLE1CGAN1gdyiGR7RT5EZdFkiQlSPtg0iUoDMm0rK6m1rEji4gChu7zgTBoCN2CUYA3aUTGRFBjSQ0dAQ0XhLRAB37SgiZyTQzGtT8Wx4FOFPFi1YGg29dabcnf2inscNYCRrpMJ9o3kDz87VxINC12W8QBpZBbHfzhuGGDfWMzokIm3Jd0giGwba8h1sw64XVbU52hx7fkhcZymCCJShUVazebRE0ggcy3VfQGeJ8M1AL/UAACAASURBVLfJiJg1ifoSPaZyM8BKg6QxZElKVY6jOKH35yg36f2MIWOx7gvC2q1vJlWRoCrtKJIxhswaWWBVlqBa3dsYmgJj89J9T0ua8msh4L1eS0xirEvjKeYckwUTC3UP8hrHdznHxTnHbNVFRldQMInextAUGAB0NYYqnOZ2HLy5zTEMJoBN22FW2Gxbs0dlI1kHNzuXa63f1tD0Iyw0PEz3WVB6Qfd7GocbxlAlhowuI6MryOoKFusenCCCpckwNZIyX236BNCRKTtSZUK8mlqbcb9zPGGh7sFQZUE8sHFSwQBRufBTIFCntYII51edVN59JKtjINsGt1ScAOVWAMYYTi234AQxLlZcHBimLD/iwKefnkfTD/H2m0cxmNU2LNMN5ahikDMVtLztaYpte8WNOUWzfRmNCFmFcqPB5FRlsd2HoYUokShoie2zBnE91dw2RFwSZZY+0YRLTkayEDJGLOXXElElMSI5TfZFpSh6L1HL3Gzwd7tGx9yecQpElphELgxsQ/nmjazzuCSRknLQgt5va7iw2oIsMaw2fZiq1FUKlGVyToEYqE0apYYqi6yUjjHm68EYa01iQMLHmMwXGaoETabeT1KqBYh7r+aGGMppWG4EGC3oKSu7tAbtZKoSzEI3+msk3/5/v7inEobiwVz3StvfwVycsI4kljcV5DcP2je1pPfYuVC80Ei/RObcC2gYuc/WoIqh3kpHSbfPVqFINN2fEaJ8a4+97oVU1tFkFIWziTlHxQnSakfy+mrLx4mlJgazGmpuiIGMBkORUPfCtMyUmB/FaHhUIWn6lBnkhHNYaQVo+SGyRjelUs0lNmpZYuizNKgyUWpxkCxMGHP02Sr0DZBcnNN8jSZLqLkhVIWhT7CDc85RdUmR1dZkIftNMzSrjg83jJE3VGQ0WuDLDqkN1P0QOeFECABF5Sc0u783jDlWWj6iGOizVBEMdR9j0aISnCKCxoYA4bhCBbncDOCHMQ1vg0AYkkRZiyIzzFWpIpDVlZQJ3xXnJeGZjDhQdQI4foS6G0KRWfq3LQKKE4sN7Oxf3wOLYo6iqaKlRMgbKrywu2c+V/NwdL4BcI5LVRfzNQ8c3SKLEmO4aSyHNx4c3JK+jFgrknLf1mveth2TxNCRktJCljVIwiAZFk2eBVmi8kqlRTdwRpcFfxOx7ppCcoFSVepBlFtBmkXIEsAgQZI4VIWlJ7wTs39VxrBhEpk4ipZ44C93waF+WnuhdYK2HHcihhbGMXRQJuiHhGK5WmOMYbxAYl4LNbqpbx7Pdy1QisSIW6viQ5LImQ3lNGQNGa4fYbZMNC6ljEpgDdpx+ls61zpLk1FzfMyWPVFmVVCyVSzWfTTLdJOTwJ+MlWaAoqUiZ8rwI5rJSORF8qaCpboPXZFEJvP9JwCYWBBzzFQc7OprUwQtN2mhm9iiTHWlNl93cXK5idGcASeMcaHi4LbxArwwxrnVFlRZwmrLR9HScP1wdsNFfL7u4fmlBvosDadXmhgvmNhVsnCx4uDcagv9tgYv4inbeiuI4ISU/Xpy3NU/qDgBlpd9vEJImze9EN86t4rhrA5NlvDsfB137yghq1Npc7bmQmv6uHW8kJ7Hs4KYtu6FOF92cMdkARerDi6UHYzkdDhBhLOrHIenSugVI3EAxxcbCKIYfbaG5aaP8byJ6T76TWdXWyhZGk4uNzHdZ2GiYOLYYh0Vl5zPqeUmDg5lYesKvnuhjH6bHO+xhTpunyimFYe1FsYcT8xUIYkA8+RyA3dNFrsWbMYYCmI2MObENpM1aNRkUFD0FCwVRUtNZwLdgKoMiswwUTThhnGqbpsgVBWZYapkIhC9KcrIFNj9sqA1YmkQl4xK2LoCU13PxGOpMlRRYVhpBRjLdweD+4cy2D+08eC0zIC33TSCTz45hy8fW8J0v5WqHq+1JGN0/Bimsb3h722v9IQeUtMf5vgx3CBCGBEDw9oBTVuXu2Z7ira6DuYbxuTEDBXIoHNxZoCUAh9RtLbvkJI+TRDFCCLqhyXT2NuhMLJVGf0ZDc/NN7C734IqS2gFEUqWBkuThaZIDD8iWiRXDJdqYlYroyuYrbjIaAq8MMalqps6h6y4Sc4stzBZNFF1KYJN0DbEAEE9hhiCCV2K0vR+K1tuElR6ut+isuCaNZ4xhrwpI2PI6UwYY5QND+a1dPFJjjdxHpHIoMaL7eawpjCMl/QudKEqM4zm9VT1NPn+wawm/s0wmFXTDJKGBNv3yVXMaW7bZqpOWlYey5tYrHsI4xiMMQxndVysOOAAxnIGVlo+RnMGVluBqPX7qcihG0a4UHZIAVRXUHECLNQ9FC0VAx1w5GthOUPFDSM5eFGMh8+soiEi+0PDOUScY6Wp4vmlBoDeRKoxBzmjvImRnI6soeD0chNTRTNVfh7Nm8jqsgA2MUwUTJwvO5gomBjI6F3HMpanjKHTZMZww0gOmiyhFZRRcQLkDAX9NmVcFbcNRlAlhoNDpILa9CM8drGcViwKpoLrR3JwgxjfOrcKrwMctNY455gomNhZsrDc9PHsfB3jeQOnV1rY1WehXzTdEyd1qebh8BT1XC9WHJxcbuKmUQJVHBjKUoA4V8dM1dnQMZWdADUvxJ2T1Nf93kwFiw0Pk8XurITmJTsET8U9p8gkHaEr3dWMrnEXhq5g1V5TmuysRK49N2m/O4pRc0MMZ/V1a8diw0+phIrCQV7J/UoZJ8dHHp0Ryg69WxCv2z+ANx8cSgFZnQKrG9kVpSA0NyTBULUUnbUtUAKENDlHuiCiQ702eehliSOMaKGSGEcy+K7I2yNaWah7OLvSEo6JUHiWJuOQIMjMaDJJfAtotyqzdo+FAQeHszi70sKJpSaCiGDnCWJlpenj1FIzHRR98mIVisRw41gOliZj32AGzy82cORSFRlNwa4+K2XkTbY7sdjAkdka+mwNu/qstGzW8EI8N1+HHxJC8dlLdWgKIe/yBgEAtI7VWxERE51LLmjuA3znXBlgVCqc7rcwWTS7goZOBm4OgMccMSDokeiSdMYQyfXqLO+l/TB0v8YYsNaNdo4t9Bpe3MZYwxWZFxKoplMwcabiYGfJxkLdg60FOF9pYXe/jYymYKbqptDZixUHzYA0mmaqDvYOZFCyNJxYIk2iC2UHpiojiKi8cnyxgeGsjhNLDeT0wjrpgquxROhQEccWRByrrQDHFhswFCnlZ9vIYoHmulB2sFD3wMGRN1QADDuKJiQGPD1Xgy5LKbDmcs1UZShiKJrQtRsfUNOP8PRcTQxrs3QglgGwNQKySJIYjdhkoi8ptyV/hwKN5gQRzqy0MFNxwcGRM9T0OxIgha21Rz7UDhkcSyNxyY3MCSI0/RDPCPi+zFhP9d8o5liqe5TxZDQcX2ig5gR4ye4+CkDDGA2QOGnVCdGf0RBEMSxNSUuQyw0fivj85ToORZYw3INhAqDnYqUhGNNF/7xgqluijjst5sDHnriE82UHr9rXh4mCkV7/tTZVMiExlrYQtnX82z6SdcbAWJsLLlm8Nv+EWPDS/gI5nyimH5r8mwGQBIw82SeV97ZnIzkdwzkdQUg3qiZTmuuJhuQdU8VU/8RUJQznjHTfNScEwLBnMINpQayYM6ln0vKpHnvHjiK8IE7ZC8rNQJwPanbeOpEnMEBEyKEEjeT4MUxVxi0TBTHrQxGGH1IPIaMruHGUBiVVoZEERtlYEHHsHcgga8iIY5oXsjUFt08VwEDZ0oWyg8M7izAU4uSaq7o4u9LCeMHsWQ7pZZyL8w/KlBjb/nnf3v67F5q1D1wkABSyxNJauq5KcAMi2bV0GS2vranVJpql7NXWZbh+nDpmP4yhKXE6m6VIVFpu+DK8MIIqSSgKUlYniDCS1SFJDOVWgD5Lw3zdIyZrRRJaM+3vGsrqYEwMK4aEOp0qWtsadt4Og0BybmouUTR5ogpgKBJOLDVQslRcN5jBTNXF84uNnvtNtakMFQMZDTtLFpCMcog+4Y6ShcmCicdnqpivuWmpUmJUutpsoHmzBnyvYwGA2ZoLWWK4dbyA1VaA+brX8Zu3PC2pxZyj5gUY5TrqXpAGbllDwVTRwnjeSEdYYk5Cli0/gmpQDy0vWgNuGMMRs3cVJ0BWV3oOInPOkdUVZHQFt07koclSKtK51oIoxlMXq7i46uDtt49hrGCg5gRYqHl48kIFyw0f4yUTE0UT3ztfwWjBgCozjBVMPDNbw61TBXzt2CLu2FFESUDKt3OOt+PARnM65kDXNglCNmNU6fm9ICd9eEcRP3vXxLbueV3Vti35cxWOiTKZUFwYTe7wOBsaObPkN6TFOiaQYHG7j5EskAztbGo75y790Zyj0gqosS8au+BAM4z+f/beO06y67rv/N4XKqfOcXp6csIgEoEkCJAESJE0kwRTlFeUtLZlyWvL8tqS1mt7bdn+WF7tx15rbdmSdun1WsGKlERSjAYhggQBEDkMJuee6Zwqpxfu/nHfexW6qrt6pocALJ4/gOmqevfdfM8953d+h4GkGfwNajN0vAyNjktw4KqJ7JKKKmQhgB4SQTyB7UhG0qEWmGVzsOtK0VKbqaPQiSFDYCDIV5TTN1t2AuCIK5UPT/mkJLquNl0pFadc1IsBSEaU2cjUfKon9b66B4E1NM3Tql1KdZvIJuy/vjS7dZoVAEN4XbRDJ5PaJAgCdtWB0goz9cMF6pZKEhkN6UG2UcM7oIVQfVKoOkRCiqnej3WybBX0m44YAatEtSlrZt12ubxWplx3ODqSVJui9/7hRJir2QoCwUgiRCZm8tzVdQ4NqTCCxUKNfM1itVynP2ZyebVM3fNxDMVD1G0XzeydiNdyGunqm0WBhxplVG2H52bWqdou4+mIl75a3c6KNQU3jniDuFquM5OtkK9anF0qMpQIs6c/xuHhBK/P51nIq0NgNBVmb3+My2tlFjzNvm679HuWAQGMpyKcWixwdb3C4eEEqYjBxdUSy8U6uarF6/N5JtMRdNGK+vJNxJYrOb+smKlrtsMbCwX29McYjIWYWa/w4rUsEoL4QSFANHXHVhuYEIKFfI31skXZcjg6rOL1jg4neWMhz7X1ChJl7pvKRDk4mODVuRympuFIqcx4Qq2hk4vqBmS7kqMjSVwJ51aKLW3d3RcjEzEZT0V47up6YGK/cyJNtO0qsJivKUCYpxA7rgq+T0cNFvPKL1uu2ZxZKDDVH2W1VOehA4N8/eQiuwdiDCXDHJ9Ic2ahyP7hRFcUqaSRpDVkCPQeWE0MXWPcS9dyo4HRuoAfun2Ur59Z4ZXZPBPpSNfUGmFDUzfqbVzEbwpNYHkbquvKgENtMxGic0I2v8+1poo3j/NWDWqn5mh6IyFDQdSlqzjT6ra3QboSN7iNiSDlr4JH+4egCGKxHFcxpBuaoFhVGSkV1x4BdLOF1sWrUjpqYBqCbMkmbOgeHFrdgqqW2gBU4JkbBCRLqeoYMrQW9glVrELlhNqQV0OJMCulOi/MZMGrRyykc3Q0uem4qGaK1r/bvvdjQKR33b1x94nEdpVvEUB3N2a0VH2vGOhrtutxx2mqz3UR+PJAoQB9ZmOfE880BBKNUs3F1JVJqNmgETY1xpIRBbQxNI6NJANWjoGYqYA5smHjf8euDBFDHe4D8RB9HqS3P2aSjpieKUcE2rih9eYPhIY/dCsZSYQ5NKxi7vzkhhPpCP0xFXfmm/NAkAyb7BvQ2OfdenQPJZuOGDywW930hSBA1e3pjzGWUptUs6lYCMF0f4yRZBhXKlOdQIUrDCfCHPP8WRFDzcN7d/UF43JsJBmgT3dlIkxmlG9SoOoaD+k8uKcf21G3YT/cYU9/HH/hhHSN+6cyGzb8ZtEEHBiMk46qcfD93P0xk3fu7ld0X0IEZezKRBhKhLA8kIepCyq2S9jQuH0s7VGkNaDtk+ko401Bt1Ev3unwcILdfVEcV7GnRIyNm3tfXCm/ewZjhA2NswtFKnUHR0qOjCcZ9G5BVctluVhj/1CcdFT5pQ+OJKhaDqvFOrv6opsqOiortvq37Uj0HhlNVJkNJdqXXk2GroRnr2Q5u1Tkles5ot5+1OkUePTQAD9813hP5Qb16DXAdsMXUlKpN2hyYqFbzxnVuR7KLGF7aXv9QZRSslywvHQcfoZXm5AXFJev2F6uHb019YNUvp54WA/YBhIRI3je1BvBxLomPHSaYv5NRYwgUM+n56lZbsA4XPKpeXTF4RY2tMCebnsba6nmqAXiLVjfh6eYu1VdNEGQpqPZaeq6EsttHJCdqEFurI8lNdsLeNRvvDwFtYWqpaZVxBQYXa72/jvDhoJGW7bsmZl4M1nIVxmMh24qFfhOyIaUIVKxnLht6+nCSpF8zeHuDmkn/iKLKyXPzayzuy/WcnhsV8qWwzNX1nhwTz+RW+Xs7EGklJyeL3B9vcojR4Z6vnXbrtqHAUKGlxdvG+tTykY6G9/l0Ys4ruQrp5ZaQn+6yeGRBPfs6jh/u77spg4mdSh0Dtr8Xom/gVmO2uh8bUdKSbZsk44aPXf296WzKH49lUcpYt6cAqL4BNW/dzTF/NtcpFShBb452z+Y8lUVJDzQhWD0L6pIKVku1UmEjK6ovV7Edl2WinVGEuEdSa54o+LHRwlBgIzs9blmurftricpJVVbgc2iIdGzr2m7LOtd6tX1ZTdsymsgsN58cboEE2e2ATP/vnSW5oNkJ+RWovD+e5PXzs4yu5znw+8+/GZX5S0nQgiGE51RZ9sRQ9Nu6sa1UyKE6Ojm6OW5m+Ujdm9gfd9qhfJN37m7nby9ceLRQvq63efby+p2QbyRQdgMsdRr226mPps932sZvuxEbp+dku6a2vZ9Xzcz9zavy84s3NVcmWuL6wDULQdD13BcN2Cg8DntbEc5100vhbVi03A9FgSPHX8bt4Gt5k4vfb0T49QNcdap7G793akt3cr5Xt7eb3bu7UwdfALt79kre5ZtsYv7sO52EYKuvoJmUXQaDZi4RDnuFCVNc1kCQ1dBmu1F+gPqd6ifxA5ay2kW/30dfRmqUBxXleW4DbSgpnl10TZHukjZHmslkKjrsd3WNuUsly0bhe97kdLvR7wgYdVffpM0gQeT7g5CaKTsIIhvkbKpTV4ZurZ5/zZPWv/GpOoU9Fogwm93hwq5UvVDJzE0et4w/XrZLgGK0RddU2VtZspwvLH156qEzuOjgemNQTffl2qX6hfH72MaCFPdmzM749+D18/P8/h3z/HpD97Jv/2db9GfjrGWK/MTH3sHg5k4//cfP4vrSvZODjCYiTM6kORrz5zhXXdMM79S4OF79rF7rK/H98lgXfkxh81t89fSZr5B8MbJW+++NI9T+/xVfja1DjRNob6aUYsqx1ujbB94pGlecLuHRvN9JopWC5Aqo4A/9iFv7oP63G5at8oi2KhX87r21003aZ6T7X5Y11Xt8uee+n1jfYK/N6h6bDZvmuvULrq2dV42f3/w17fdhAq1Hdnx9tRert8e/zsfhbnZO/0693pWbOvGZLmdNxlNgBHaegHajqqgrkFICGpWB1SSN7GUz4gNxICKyaEzmqnTpglqonQaMLXolI+qvV0ScB1VZ0ODsNnKkdZeTt32gAqaOpY61lGCg+w4wX3Ip2yKbWp/3N8wDI8to91E60+2bv0jm8rQhSqj0wSpWo2J1/7+mr2xYAHoXVCZ3Z4B0EzRkynY3yxrdmezous0+P/CRuc2OS4egEO9t2ZJNiC1vcPGEpKI2R166/s0N9QzKENioeDwhn5zSQnPXlnm0vVVfu7H3ouuCRZW8vyjv/4Ir5yZ5TuvXEbTBO84uotH7z/IL/7617jz0ASLqwWKlTrnri6TK1ZJdEhn0En83FuWs3EVBW3Dmz+hzuPtgzg6zh9vnAx/nNpKcLxnDQ0cDepNfnU1hxSYxwfP+GW6riTaVB/L8d8vggPWb0TV+63ltI5h3VaVV2T+Imizvw5NfYuDyW1WTltb5rdLAFpIdJ7HXt9ajiRsdleGm/eadgkbG9le2sXx9odOCny3/VMd5q2f+XXothc1S/MeENLpKe5nWwdTSBdeoKanVXWYwL2I6zY6x9D8RHaq021HbRh+Y6Jtm6fAO8H9spo0el3r3ObuWoSk1rQJG1pjg22gVTx4syW7buTtbfNh9L6mIWhAzmHzcfE1L0HrgerfoKRU9ak7klCHW4r/p3/j07UGvFrKRt38xdKpTWo8vJsTBId2s8bX8k66T0t1AIpAI3Zkd59gN5Fth+2GOeNtPv7C6nY4gerHijf3dO9GLLwBsppuCTVLEuuibPkj6t8emueX7W2KEu8g1ETPwc2dZCVbJJOMUqvbxCIh+jMx+lMxErEwddtBSkkmGSUaMYmETUYHk3z16TMcnBpkbjmPrmuk4lv7UFS6DomXxzFYZ1rT/HVdP5Fl5/F2pVLInC3GyXYA2X09+ZaZkKEUl7o3Z+uODOrl805aTmMP0Np8l0FKB0Pg0thMa7a6Gfjry3Ia88c0dixsb4NIGvNY925gfvPb5023g18ICDetJ1fSUQnoJoLWNdxsBeu+f26sg66rcWxm8unYZg8x7YuhYjO2rOe2uPJ00Vpxf6JuV3ztK2w0UrCra7i6TVQt6ZlJCAaxUY/WdOy229jwFbVIj3WQfoCw+rtTXXz2hbrjm5DYUgP2g0ejZrOW4S1tvXvyCF/8QykSamxoQd9ogkpdBodFOxjJ32AjpghML8H7vdPW0AQVb3E0my2bxdRp+bTkqHfqbX3fiyjYOvhvah6vXkRKGWxM0H2c/FuMfyPfzPwqpeo7P2ixfe7ZbmOz2wjUEJiG9IKbG5+pzVf1rz9nlDKiaLVu6NYk4MG79nLfsSl+44+f4a994n400QhG1YTgoXfs479+5WVOXJjHdhyO7x/jD77+Kgd3D7OcLRGPbA2N99eCfyj5Ab7N7ds4f9tv635ws/q763pyJHXbN8eB2WE9SRSfXjC/hWho+UKtLZ+L0TfbOR1i4lypkGb+x67r7xd4t+vG+Pvryofr3yrxTYyR9rmnNeaw9JT+Tn3Tvp5cCXa99/Wkta1hy2m6zRi9K1GmpogBJKpPzU3meKvZr7eDf9vgB/XuBuP0jYrSetpuQ0IENwV/83Lc1hO7lSUXujk2exFfo+pWF1AalOUNgDJDbGHDRS3qjf4O0fTfzcWfIO310VBmEF9LbD+0G7/ropR4tmBDb2iPbpumuWGT2IajuZv4c8YrcVvP+jdzUJpet3EKGY1Nqm7LTU3LmlB93HG8dQJeNUdKjLYRU4e/8HxQ7e1slOHPGdffTW9A7j26i+P7xxjMxBnIxOhLRvmFn3gvmiY4vn+MvRMDDPUnGOlPsp4vMzXWRyIW5p/+1AcZyMQ4tm9U3Xh6GC9/LQgah9J25q9aH+rfm62nkN7w9/nrqVOZzetHa6KD8G9rvhLms8L4sWDN0hzG4lMz+WPbnA1bQwa3Qr+cW4VB8BXrbnPPH4fN5k3LeroJ2PaN7p9CKD+dLpTlxXI2KgWq/FZcwnZoj940VJ6pdb/SNddfdtTpb158cyFs3mECZRLzO3irSauJ3px7m71P736yeH2z+WTc6tU3Y1r6Xot/qwPf9NFlsaL6ve6bdiRdYbSbmROaeSi7rfmt+tc/tDptltuRZDxC0suwMTmSwXIkE1GVETgcNjFDigF7fCjFUH8yWCZjwyl0IQiZKobPdl1ct2FWs72EnMp/K1qQWVs537tJyzhtchj6Gr+vRLQrRo3ftf7bPzhal6r/aWfxn/N/K5oOuOZyWoq8OX17S+lmBgW/3xu+4re6GLrAsRvWF72DlaKZoLcbQKpj2Ttd2V5F2wYp662QZvRJYxPpPBuadX2XzWO3btYM4COfulx4WmSrudusEckNn7/1RUp1a/FlqwNV10SQetd1QXY5f/Qu/etLoD33VMfO/buTXSylZGa9Qt2DhQ/EQsxkK8RCupdKRWOpoFKejCTCzGTLHBpKcHa5xK5MlAurJdJhlYKiWHco1mxsV3JgMO5ZJxrvaqaq6b1+rebZrRzwzYe/IyW6bLuV0nYwNX/XctNofNmpv1vueKK9nM51u9VLoxuAypfNj9q3jqh4RM9kLT06pLbNzzfzQe+ZIXx50w6mN1tpb9ZImlE+W8oWP71VJoBexT+MHNkAUjRr7m+HSd+QJih38J/OogK+G61rHMobH7rZMfJZT3x/mQ8X5xb1sSthNlclEzWpWA7xkENf1GQiE+HiSpl4KIwtFVO0oq/ybf8SiSSkCfYMxBCo5HrxkE7VdilbDmndaFHIOpkot5bWcdrq8ebvNxun3krY/hNv5hIV7afu21h8K4Xvqw/R2rc+MAJ8q9TbwJT35sv2t4/eu/XGJ97NTFk/RqHWBvduXgva28hU0CLb7JhbZQL2gQLtkF1/3fkH6E6yZYBinp/uj6ILQb5mI3G8eDlIhAz2DcQ4t1wiYsQUJNh2g3TZzVD+WEhnVyaqCFs9pFBzO3akx7YydbK9W+l/T7L9++hbWYR3MDUAWcq32IrGa8SR9l7yX+CDqSERs3c0yltd2WmHv/sM2822dseVVLZzS3wryDaruzXX/Q1UwQsA9VFMmsAjDm72Z6gtt1zvjTm8F9EETGWiXM9WiZo6mahKpqcLlfG1VLdZKtbpi5rEQzp9UZPZbIXBeAhT17ykgEqm+2PM56uYmmCqL9bmh7mJg6K9kE26v/lAeosvp+/LJiKEHy6BFwYgA0SvlA3l7EYoyP7CHkyaD+vBBzi8/ZeI05RSYjPC1bfPkSTQhMShyVTWzTcgWw+CViTgzokfDiDohl7beR+TEIK+WCjIotwsk2mVhLL5u11eYkpfmjPSJsMGyaFEU119h7Vs1H3bqDSFGIXebkEtN7RmR9HbVHzT7l9MaYBZfECZBkFMFmwOhukmbwUO1jdFWhywbnfgw9tJmmPKLnqQ4gAAIABJREFUNkOevV3MeH6sji9bxcy5TQ3Ttmk66EWafXVBTEaHl7hvKxuVaAHsODdQeSFaFbutzJgtNEU35NP63stWCMu3y5raafHDT/wxtD2q8wYs/8YAYW/7g6m9zb0eMM3Bwj7f3mbPKq3o7TP7uumhUqpsvdsujDdnr22G19pO5zHwt1L/tqiJWwOJb9X0u/xGyhbo9FtdfHNMsBYcPyxiey1o9iF0S8furzHLhxCLVgXxrSbNvlm3Gd3SJP5N/e16MLVM4xtsgw+CAILgdF/5UPFN21+M25oWPqS626T1v9tpU0Y3aUcQ+ad0MxFpc53axQ8Kc6XyzfgLJ2hD8O8Guu2tLO2ab3O7/XbU7a1vHt3Kdd2Nm1ajnzo/62ua3eZNa39vfF6Ixjj5bAHNZUnvQZ9rEDpnSd4JabY6+YdP+1xzZMPct5W09svmfXOrJchjRoM2p9tacDocPKKpDMfFgxF3GSdv0wr1kPX6zRat6WCyXVrmagA26nG8d0Judj01S6f9s3XP6E0hV9Dxxl7qgyF8pedGbsQ9+ZiaI3ilV2NJQ0vwee2UWV9hhYS4uUDTXsXXjhU8GqrSZ2dobBgqmLDVQaHyn8iAMdt2wfGS4fn+J9VGGWzIYUMQegtreP4kkFJtDOqzRj/4XHB+tHyvYmgigCBXLemlEm+UC3jMz61j7UqJ4zQ28OY5A4r7THNbNVN/zvh/C6EogHyOPZ8A0+fz82MomvnZbibL7mbSDI/1lRlDb9TDcRtkwFv1sc+83bKemljcd2I9SSlZKtWpWI7KXSRhuVQjaqr4p5rtko4YrJUtUhEDQ2tovJW6bOLKayhtvpmunUdQCEFIlwHtT90bJ6N5nJoIVW/lOO2UqD2iofCqud+I02pm8N/umroRac5C0FCiG9/7PJjN62kr9m//tuzvgyAbcWjee3SthxjCtn0YNg8m3kp6Bj/41PHdpMHU27im98I4vhMSNkWg5fl0+80SMhRktl2EEB7LcYOjqhvDrvr9Laj8DopAHZ7+7a/uSEVZ3CSGpn5T6cJAvqFM7wD3gRXNTMG++Oi0dnFdqG6iTTpuc/W8eWNuTHzmAw18xGGnMQa10bVTDe2sCEKGd+B2qYfPRdapn5rF6sLAHXzfvp4AI7y9dlUsl5n1Mrv7YmgoZvuQrnF5rczBwThXsxWODCeZyVY4PpYiYjaY0yWeabRDP3frXiEEYRPwxslPC9Iuiq3/Vo7TzomuqTnl34KbU3H44rNv32qkqys3j7l0pWJbVyKDuoW22OXDhqBqy2D/a29fL6zl0GCC8J/eDgXRhrJ6/WFIF7jbuC10mnPNxJdb0fr4RINbdYjPIRc1PZbgpiusQtttQTkk1MAZeiNgUkqoWA6ulCTDBromNnXi+fxXku3bzKWUKi5FQsw0Nu0X15UUalZgo5fopCKNIVR0LxLNo/XvnMtJ/e1vnr3NHUHEbM2F5Hr1jho6iXBnPGg7YWQv0qk+QgiQil6/OW+Wqhm4SCqWg+VC2YKoqRM1W+uka82knZu1tGks2w9I7yIeMUWXXE4iyOWkScAQXfvXh5n3Kjeyh0dMjeFEmGvZCnv7Y6yWLWxXUrNdDF0jYmjM5ir0Rc1gjYQNjy/QUawMzRq55oEcNiNKFt5caR8naLC5d2u3TxLcySvhj0m7/mNqG8ml/b5t73tN21i+lJJ81aZUcxhIhDowaauboO6Rljavqfb2BPOrS7tg6/UWMkQLKlJKyXrZAgmZuLnt9dTL/qlrav+0u+yfvczTgAnCJlg7N5Lq3ZeeDqadSodtaKInr5Z/WPQqErWIQpsM2mYd1GBOl6CrDfs7V9ZZLVs8dnzUM11t/rx5g8B725V86dQiQ4kwjx4Y3JSypGI7/PnFFfJVm3LdYbo/xseOjmyoi4baYLrVFbYXW+BDrw1NBhtY1ZZ85cwit40meWAq07F/NG3nTJ9+HXRtI/XJcsniv51bpmopNoN7d2V45+7WxHj6Jhti63s2H8sG0XBn4kpEg9l9s7ZvRQa8lSizjlTxTF12O8ujiYmaOvmaTbFuk46YHkEojCTCnFgocM9kuqn6av6EjI2m2ebfdJPNxmmz55W/o/N82WxMOvVjt77VOuwrUsKvPnGRcwtFfuPH7yRsbHyRECo3l95xf2mYybrtWZ3Wgev56pqh1L7psFnqtssvfeksdcflV37keBAUvZPSKXPEdqXdrHiz8/ttH8ckpWSpWOeNhTzv3TuwJcX/ZhJMECQT6QjpiImhabfc5ODfQLaSmKnzsSMjlCyHr55Z6vrMrYrhae8HtwfH6K2uA8BgPMRjx8dYr1j82anF7wlY4M02Q0ngmSvrTPfH2N0X7fgbQxNEDJ1oQicTNRlJhilUbe6eSBM1NIqupC9qtsQ5wc7Mnze7f3oVIeDOXRlGUxHMTfaOnWyPlJJXZ3J899IaP/XQ9KabuK4J7t3Th5RyS569m5WbbaOPbvZ9sTczh972BxPAXK7KatnaMSSgJgS3jaZ2qLSdEyEEEVP3rt9vj4X/vRBNqFuB5dz6xftWkartcnm9zHi6exJAXRMMxkNNf+tEEuoQKtcdFgpV9vTHbnld38oihOCjd4x+z9/73OU1rqyUt1SidE3wI/dNfm8qdRMiaYAeGjF+N17ejh1MluOyUKixVKxhu5KIoTOcCDGcCKNrKh/KhdUyFcvh2EiyZWM9s1TEcSWHhxPB55bjMpevslKqY7uSqKkznAgzFA+hawJXShYLNRaLdU4tFahYLs9fywYb097+GCPJMOD5Q6o2C4Ua+aqNENAfM5lMRwg32bRcKXljoUDJg7TFTJ3jY8mWzc6VklOLRTJRg0zE5Gq2QrHmEA/p7O6Lkgipg8OHmOeqFguFGoWajS4EA/EQE6nIhiu5QJCr2lzLVqjZLoPxEBPpCKEbuAH6sSLz+SrLxToIZbYZS4Zv6EYppaRUd7i6XqFUd+iPmQzFQx1jyOqODMZNE4KxVJiRpjlwPVdlsVjj+GiKcFMfSCm5vFYmV7U5NpokpGtIKak5LrO5KmtlC10TjKfCDMXDN3Qw++24lqtQqDpETI3JdIRM1AzGuFx3OL1U4OBQgnLdYTZfRUqYSIcZjofRvLl3YaVEKmJSs11WSnX29EeJmDoXVkpoQrB/MEbEm1tSSiqWy7VchVzFJmQIJtNR+mON9xZrNmeXixweTlCo2czlaziuZMibB742X6rbzOaqXM9VKVRtzi0XWSnVAcWDd2w40dMYx0I6h4eT2+5DgJrtcGquwMnZPI4rOTCS4M6pNFFPaQLlq/3GqSWGkiEOjiZ56UqWyyslYiGd+/b0sXsgFqyTct3hpatZLi6VqDc5pUxd8Ik7xxlIhHBcyWK+yonreeayVYSA6YEYd+/OkIwYCKHG5alzqwgBx8ZTPHd5jYVslb54iPv39jGWjgT1sx2Xr59c4vp6BYChZJiP3TG64dY0u17hKycWOgKFPnHnGKOeYmC7krlshRPX8yzmqhi6xr7hOHdNpYl5Nj7bcTkxm+fMfJHHTy6hCcFnn7oSZLn+oXvGGUyoPatuu3zx1XlWvbGd6o/yA7eNbFC8pJQUazYvXc1yZaVMyNC4Y1eaQyONeWA7Ll96fYF9Q3H64yGeu7xOtlRnLBPhgb39ZGLmNtGe6v8+AhjawjWMTl7C7cmOHEy24/LU5TXOr5RIRQx0ISjXFXjg48dGGYyHkMD5lRLr5TpHhhPoTRU/vVTEclwODMXREViOyzcvrnJlrUwqonjB/MPik7eN0hc1cVy1kWUrFuW6gyMla2UrsJNOpBqaZK5i84VTCwpgENJxXEm2YrErE+WDB4daNkjbVQM9k61g6hrHRpOt+aEkvLGQJ6xrWK5Uyc40wXrF4tU5nb90ZIS+qOImWynV+fKZRTQEsZDS6LPXshwYjPO+fQMti2C9UudrZ5eUM1/CC9eyHByK89DegW0fTlXb5cmLq1zPVUiGDVwJL13PcXAwzoN7+jc1WbSLlJK1isXXzixTqtukoybnVtyg3GYp1R3+/MIKi8U6qbCB7bq8eD3LbaNJ7p/qQxdK4Xh+Jkt/1GRPfyxYEDXH5bszWRJhgzvG1G21ULP5xvkV1soWyYiB5bi8cC3LneMp3jGZ2dbhJKVkLl/jzy+sYDkuibBB1XJ44VqWd033cXgogRCCsuXw3Zks6xWlUIR0jYrl8MI1l3fu7uP2sSRSwtnlkpfa2yXnHRAD8RBr5TprZYtCzQ58byulOt84v0LFctR7bdWOd+7u5+hIAk0ICjWbZ66sk6uquRc1deq2y/NVm9tGkzy4px9dE6yXLS6tlSnWbBwpKdTsoI22Y7DD3LEbpFx3+LVvXuLxk0tM9kUxdMEfvDDLXVNpfv5DB8hE1SZnu5KvvbFIKmLgyHnOLRaJmBrZsoWha+weUDe1St3hl79yjhPXc7xjuo9izebpC6tkYiY/dPd44BfMVSz+4R+fpFC1GUmFqduS31yZ4Z7dGf75J44QDxtICU+eXebCUolU1KBYtYmHDC6tlPj956/zrz91G1Pee/EOslzZ4tmLa8TDOh+6bWSDj6dmu1xfrzbM5hIuLpe4tFziPQcGgoNpIVfl5/7gBKAOuVLN4T9/5wqPHBnmf/nwAcKGTt2RPH9pnblslXzFJmRozK1XEJpAEwKrCcWp9gHJWqnOU+dW2DcU5wPHRjb4gRZyNf7ll85wZbXMVH+UiuXyW8/M8MPvmOAz75wiZGjYruTzL8+TihrkK6r/NQEXlkocGU/ySz94jEzMpFfxFVAPC9SSDNDUxY6weezIwVSsO5xaLPCu6X7uGEshgLrjkq/ZZKKtDe7F3Jar2pxdKvLefQMcHUkiUBtXoWaT8rz6hiZ4YHcfUsKXTi9SsVx+4OBQYK9t7pdkxOADBwbJRE0iho6Uktfm8zx9ZZ2lYi3gFhPAXeMpXAmPn1tmydNWOslMtsK7p/u5fVwlZZvJVvjKmSXOLRe5b5fakPpjJj9wcIj+WIiwruFIyQvXsrw8m+eO8RQjnnYE6hD70KFhpvtjSCl5fT7Ps1fXmcpEOTAY71mjkVLy6lye2VyVDx8eZiwZQSI5s1TiW5dWGUtFODS0jfKAF6/lKFsOHzs6wnAijOW4fOfKGpUGphnXa9tq2eLjR0cYjIdwvXZ8dybLeCrCdF+U8VSERNjgwmqZ6X6VikFKyXKxzlq5zj2TaYRQGvd3Z7IU6zafuG2U/qiJIyUvz+Z48XqOiVSEiSYNeCup2i7furRKxND4+LERkiGDuuPy7Mw63760xmAszFBCmb1cVzKbq/LRIyNkoiZ1x+XPL6zw3Mw6U33RYA6uVyw+dfsYC4UaXzmzxGgyzGPHx3jy0irXshUFKpCSpy6voWuCx24fU+91XZ6+vM7TV9YYS4UZ8HjuHCm5ul7hw4eHGIqHcVzJty+v8sZigeNjSfpj6vY0no4wm6uydGqRuycy7B9smONupSFTSskTp5f48msL/IOPHOT9h4fQBLwxm+cf/ckpfu+56/xP793T8sw3z67wmQd28QsfOkA8pJOv2i2K1qn5Ak+dX+WffuwwDx8axJWSX//mJb5xepmP3TlG2ts/UhGDf/iRQ4ykwiSjBq4Lf/jCdX7jycucXyxy51QmKPP0fIGffniazzwwhakLXrue5+///ut84/Qyf+3B3YBCyn309lE+fHyU//3LZzm7UOjY5j2DMf7pxw4Hf19fr/C/fu4NHrtnnP3DDc7B4WSYf/6JI0z2RYmFdWxH8v98+wqfe3GWz7xzF3sG40RNjb/x0DSOlPzN336V/rjJ//axw4Gi2HzoGLrgU++YoG67LOZrOB1idWzX5T89dYXr6xX+zQ8f58BwHMeVfOn1Bf7DE5c4MJrgwf0DauyQvHg1yz/56CEeOTKMEPDVE4v8H189xyszWd53eKinOaDKag5naIhKV78z/rgdgXjoQhDSNeZyVbJV5esJGwqqeiNYdkMTmLrG9VyVfNUGARGvPF9LFkIEgWP+xVEI5W9QnzfeqwvBeCqiTA3es5PpKIYmWjRO4T3Xi+83EzU56pmcdE2wKx0hEdLJVqzgqmto6r3+jUwTgslMFE1Aqem9AMOJMFN9qk6GJjg6kiRq6lxZr2zLd1Z3XM4tF9ndFw0OPoFgb3+MqKFxaa28rfIqlhPAjUeSqv/DhsZto6kWp23Fcri4WubAYJwBz6+hCcGBwTi6EFxeKwNqXuwfiDGTVWZBP/D2wmqJeMhgMh1FCEGpbnNpVSW86/c2J10IDg7GEcAVzwTTqywUaqyV69w1kSYVVpldw4bGXeNppITzK8WW3+8fjNMfM9E1QcTQuGM8RcVymMtXg98EbN4xk7ChMZaKYGiCPs/E57qStUqd67kqx8eSJEIGEjA1jcPDcaWNZ6st7z00FA9MnyFDY/9gHMtxKdbUThDMe+/3zXO+fd7vtDiu5InTy+wdjvPeQ4OEDA1D1zg+mebBAwM8cXqZYtu8HkyE+JH7JklHTQxdoz8eIuGZ3gCynol2NB32sj8LxjJR6rZLpe4Ev9M1waHRhDqoPDj1PdN92K4y0zeDcIaSIT5+5xjRkI6haxwYjjPRF+WaNwf9flR9uXmbfX+uJqBYtfmVxy8wlonw0w/vaUFlmrrgyFiSeNgAqep733Qf5bpDud40dlpj/AQC3Su/OdV7c/1E01i3y2qxzrMX13jkyBCHR5XpLmzqfPj4CMOpME+cWm6JIzs8muChg2rcTF3jrqk0ibDBXNsc3EqEgJCuAA5+oHTUFB6UfWfm347cmOJhnYf3DvDdmXX++PV5xlMRDg8nmOqLYrZ3eA/lpSIG79nTz/PXsnzuxDwT6QiHh+LsykS3ZYbyxZWSmWxF+TAqFnVH+S4sx71hBFcqYrRofv6E89kxfDjv1fUKV9Yr5KsWliOp2E6AXmmWRMjwUl37sRMaiZDhLTp6Hu9S3aFiuVxYLbVsov53/iLpVSqW6qdM1GjaDAXJsIHRNK6FmkPNdjm5WODiain4XLFQuC2Lc99AnFfn8lzLVjgynKBquVxZq7CnP0bMVH2ar9lYjstrc3nOLDUODZ/ypLTNduSqagNMNW2KQqhDJxHWFXimaTI0p4oQQpAIGYQMTSlKnjQrHJoQhPzbuiDg78tWlMntmSvrPD+TDZ71aX3KbarnQDzUsl58xc650Ym6g+JKmMtWODSabFE4dU0wnonwrbM22bJFsqnvBhNhEpHu28zB0QRRU+Pzr8yja4JK3eHxk4vsG44zlGxYFCxH8sKVdZ46t8LsepVS3aZYc5RPqq1rkmGjhW1dE4oyp1Owby/im64+++0rrBXr/KvHjgV+LV9qtsvTF1Z55sIaC7kqlbpDrmLdUkqpcs1hvVxnV5NJHCBi6gwnwyzkqliuDNbtUDJMNNSwVeqaSomz3X7RhCBs3lqQ0Y4cTJoQHByKM5mJcGW9wrnlIo+fX2YyHeWR/YPEmjqjvQsUSKA9el5wdCTB7r4ol9fKnFsp8fVzy0z3xXjfvgEi7YbgTUSZtnI8fy3LvoE4R0aSxEI6pZrNExdWb6rNWw3N89eynJgvcGAwzrHRJDFTZ61s8Z3Lazf83l5lIh1lb190w4EWDxnb0mn8G027bLhVSgkCdvdFmUxFNrw3GW5sVv0xBV0+t1zi0FCC2XyFqu20mKT8IMO9AzFGmzYoX5oPjt4a0uVz0fnrzfgg2x7dWFiTuFKiITg0lCAT3bjchuKtbdPFrV3wNyNCoHwlttvSX4qD0VXB7G2K41Z65GRflL/1vr38m6+f59WZLGFT5+BIgh9/11Rw8LtS8sVX5/n1Jy/z6NEhfvDucfrjIZYKNf7J5091qKfY0TQ2roQ/fXmWpy+s8s8+cYSJTKsJ2XElv/XMDH/4wiwfvWOUhw5OkomZXFwq8a++cnbH6tEuumdZqrVTiHjKYMjQ0GgKCO5hz3qryI6h8oQQxEMGR4cTHByMc2GlxDfOr3B5vcwxz0+koTacdr60iuVscPALIUiEDW4bTXJ4OMHppSJPXlxl30CMg035ZHzptu/UbJfTS0VGEmHet28gCGibzVW7xgHthJQth7PLRaYyUR7eNxBErFuOi9uhtsW60qx9UEjdcSnVbSbS0W05EqOmTthQUf1HR5MbUDzblaipY+pC3dxobL1ly2nRtOJhA1MTxE2dY6PJTU1KhqZMfM9cWWe9YnFxtUxfVCE4/ed8xo1kyFDz5ybbkY6aOK4CVAw13Upqlkup7rC7r1XrzFVbTVKlukPddklt80DMREyEgIGYyZGRrVFw223l9/IipQnBsfEUz19eo1Cx6fd8cjXb5eRcgbF0hP74xpxRm4ntSF66muX9R4b42Uf2YeiaR/HTsLRYjsuTZ5fZ1R/l739gf4Bofer86i2Po5NS8uzFNX7n2Wv87KP7OD6Z2jAXy3Wbb51b4fZdKX7mkX0YHgL18kqp6wBpmgJ53UztMzGTXf1RXruW47F7xgNr0mK+xvX1igJzGBr1zbiv3qKyIz6mct1hrVwPNipDE95Vt3VcUlGTQs1mqVgLWIovrZZYK1st5ZXqNusVKyhP1wSp8MbyQC3kqKlTrCk2hGYW5GZpPgyrlsMbC/kNV9jg2bb2dStzSwkCZ9VzFcvljYVCS94gX5aKyhfhR4SfXy5Rthx290UDgECnOjR/LqUk4vklLq+VubxWxnZdBR93XNbK9W2b8qKmzlgqwqW1cmDushyXM0vFFk6tuKmzdyDG2eUS17LVwFRVd1xWS3WqTSYrIQS7+6JoGpxbLjKXr3JgMIbZpOUmwgbTfTFOLhUC6LSvma+U6oGW2Eu/AIwmw/THTF6by1O2nKAdbywWcFzJ/oHWeJ6LqyWyFeW7qNkuJxcKhA2d8dTG29tmMhAPMZYM8/JsnuViLQhKrtkOy6Ua1g3mYA8ZGkLAarkelHlDc3Qbogn45N1j1G2X/+sbFzhxPceZ+QL/33eucuJ6jk/fOxmYM3sV23G5vFJirWRxcq7A6fk8b8zmmfPWgh9Y2hcPsZSv8dr1HNfWKjxzcY3ffnbmhg9m23HJVyxWCnUqdQfLkawUamTLdWpNc/XiUol//bVzvHv/AIdGk8xnq8yuV5hdrwR+YkPTyERNrq1VODWb5+pqmT8/vcznXpztynIxPRDj5Fyepy+scn6xyKm5fMsasRyXXNlipVijarlUbdernxUcNMmIwafvneS5S2v89jMznJkv8OpMjl95/AKaEHzk9tG3TaBzu+zIjWmpWOPx8yskQnoAx14tWwwnwkx7UelCCA4PxTm7VOSrZ5YYSoQ8bibJeCrScnuZy9d48uIKibBB3NSxXMlqqc54KrIhOyfAgcE4F1fLfP7kAhkPSn7PZJrdfTHChsbBwQTPX8vyhZOLJMI662WLdMQg2cbbs1isc2W9TM12WcjXKFsOT11aJWLqDMZD7BvoPRgxauocGIzz+nyBL55cVGa8ikV/1NzA4wYwmY7w7JV1XpnNBWwWewfiAaRaSsmV9QoLhRoVyyFXUQfxty+vEdY1JtIRJj3o6j2TaQo1m8fPLZOKmJiaoOa41GyXR/YPMr2NoEpNwL2TGb56ZokvnFxgMBai5rhEDI10C08f3D/VR6nu8JUzS6Qj6sZTs5WP6sOHhxlry6Q6lYny+nwBXVNxZ62AFXjXdB/fOL/Cn51abC3PdfnYkRGGEmFcqQ639Yqi3KnaDlfWyziuMmXsG4gzGA8RMTQe3tvP4+dX+KPX58lETCqWQ75m887dfUHMmy+piMGfnV4kFTYoWw7rFYsHpjJkoua2NsOQLnh43wDfOL/Cn76xQMq7QdUs5dj/5G0bY2d6kb6oyWQ6yiuzOWZzVUxd+cEe2tt/C9N+CA6OJPjFjx/hPz11hZ//wzeQKIDD//yB/bz/SAPZJfC4GZ3ubVPKgWTPYJyvnljg1ZksAhWykYgY/OR7pvnkXWMYmuDH3jnFYq7GP/6TU8RCOkPJMI/dM0Gp5rRYFJR5q81kJTxOvSbF59mLa/zak5epWg7rpTqWI/k7v/saYUPj4UND/O337wXgW+dWWMzX+Na5FZ5uNv0L+LuP7ucDR4eJmBo/+Z5pfuXxC/z8H50gHjIYy0T4iXft5j9+8+KGW7AA/sr9k1xfr/Avv3QWQxOkogb/9tO3s6tf7W9fO7HI73z3GjXbZbVYBxSSL2xofOKuMf6H+3chhODDx0ewXckfvnCd339hFk3AnsE4/+KTR9g7GAvebehKkfH5MX3whalrb8mcWGILDaunJVh3XGbWKyyX6tRsB13TGIyH2J2JEjUblD5SSrIVm4trJUo1h0RYZ99AnFzVYrVsccdYKth8ZrJllot16o6LoWkMJUJMZaIdN3VXShbyNa5ky9RtSTykc3AwHkBNbVc51+fzVYQQjCbDTGWivLFYYCwZZsyLeZpZr3ChyXHfLAPxELeNJBECXpnNEQpinBpte+F6jkRI5/BwIlhgl9bKLBZqXnBohIlUhNfm80z3xxiKq8DBl2dzTGWi6Jrg0mqZqq3SFOzpjwV2diklp5eKLBRqHeu3KxNlvx+0iBegnKsyV6hStyVRU2MsGWEsFd72RiilJFu1ubhaolx3GIiFmO6PcmFFxZlN90WD99Ztl+s5dYBajhqLsVSY0WQYo20FLOSrnFoq0hc1ud0b+5b3ooI5r2erLBRr2I4kEdIZT0UChKDtKh9ivs305suR4UQwvtKL+7nkBfJGDY2pvhjDiVAwjiulOr/3yizv3z9IKmIwk1Xov13pKBPpSBDcfWqxgCYER4YTVGyXV2dzHBxKMBAzuZ6rMp+vctdEGtMLFK5YLlezZVZKdVypDubJdITBuHp3vmrx0myO20ZTDDWZw7IVi1fnchwfSwWwcr8tFcvlomdx0DXBSDLM3v7YLWcF8YNis2ULV0IqarSASvzfLBfqSCTeGm95AAAgAElEQVTDyXBHzd3ngVsp1fiZ9+8jHTUQqPX/X56+ysm5PJ/9ibvJxMwgODpbUtaViKmRiBhkyxapqEnUA82sebfp5mBa15Us5NUtftxbZ8WqHQSvtks8pDPoKSrZcp1cpfPcGvAQhn57C1WbXMVCE4J01CRiaiwVagwkQoGronkv9PvQkZKIqTPgkQeAitvKtlmSfElFDPrirXMhV7EpeACfTCzUsu+6UrKYq/GHr85xcDjBh44MqVgzRyngqYhBKrpNn+3OSNeJuiMH042KQiW5hA3thmDlddvFkbLjYbWVuFL5tqKmvuM0Nn7ZEUP/PnXQ20z8g+mRA4McGU68bU0hbwdZLdb50c++wE++Z5rH7hlv2bR/97nr/MHz1/l//+rdLeg8//uXrmbJli0ePTpM1XIo1RxSUQPLdomGdMp1h4ipk6tYREwV0vGFV+Z5YG9/I8j2BqXd3O/hfoIbiUChKKuWJBHWkFLF0Zm6CBQV6T2n+QhO2ZrTSWsqq+Wmc4PzUUrJa3MF4iGd/YOxt8q87lqJLU15UkrOLCpGh8FESGWd3KFGVW2XPz2xwEN7+9mV6T1Y0peXZ3Osli0+cnhow7N1Dw4ea6JJaZZsxeYLJxf55G0NpoZexXZdKpYb0A+1S8Vy+NzrC3zw4GCgrX9fvi9vlpybzXLi8go/+K59AVpNSslStsJQOrqjCDZfapZDqWrRl+h8WwJ16+mPh3ju0lpALWQ5LheWSnz+lTmOTaTo68BIIIRgqj/GWimL60q+/PoCharNvuE4ubLF3bszvHQ1y2RflBPXc+i6xqffMcFYOnLDkPFmcVzlp3ZkA50rkZi6huWZuRXNkDqAVLweLT7Ucs0NYjAdL9lgJKThOMq8GQ1p1G2VMcFyVOhJSBdEzI2k0lJKqpbLarke+H2FULGRsZBOqW6zXKiTiRiko2aLArBcrBMyNPU5DatCxXIZToQCFo9V7yaaihikmyigFgs1+mMhchWLiqW+z0SNmz4jevIxDcRNTi0UObNY5PBIgolMwzSylWxWwbCu8ciBAfq2ydXky5GRxIakVn69Lq2WWS7VeXC6r8OTkAzrfPDgIMkuuYS6ifTMhicWinzo0GDH30QMnQ8cHGwxvbxVpQX+7Pmymv/+vty4+H25VT82x7oI0ToOPmy+5fcQ0MGIHj4fSEa4bXogKEdKSalq8Uu//yK//FffSSTUmgesvRy/Pn48XfNn/u9pe+dzZxY4PbPO3/jwMUB27INYSOfvPrqPX/vmJf7O776GqYsgw/I9u/v4qYenO1oc1I3DS2znmeke2NvPaCrCetniidPL3D6Z5vp6hdF0hMm+aMPk7j1/M3Nbxf40/i0BldBZHU6GrmG7rjpwmvKGtYt/E3JlI4+b5Sq/u8SfC42bU7e+WCtbfPbZGWxHUrVdzi+XuHMixY++Y4KpUJTFQp0vvL7A6cUijxwc5NN3jwfPP3FuhdWSxd98cLdCEwK/9/IcYV3jx++dpGY7/N7Lc5xdLCqeSFfyg7ePct/uDDXb5d9/6wrT/VHm88r3bTmSv/7ALo6O3py1oaeDqVx3ODaWwNBUh/sdslio8+SFVa6uVTqiiz515xiHRjpAuz3n/qpnQ021BeApjjI1SVfLdSKGxngqEuRFqloOV9YrOK4kHWk91Gq2y3y+xsmFIhJFuAow3R8jHtJxpaKbKdQcNIGy52t+vVTdVst11ioqOVd/LMRAXJFt2o7LfKHGiXlFnOmXPZmOBG1YKNRY92zSzTcxy3G5ul5hIh0JTI+ulMysV0lFDPo9O3qh5rBYqCGBkWTIQyPeugPCdiXX16sMxM3AzrxcqDOYCG0Lpr6hzGyVVERnNqds2FOeMrNWsZjN1UiEdKb6ouhC/f5atqoorCImuzLKl+O4ihB2rWwRNXWm+6IB99fMuiLPnUgrtJ3jSq7lqoQNjeVincF4iPFUd229m4QNjQND8Q1z8kZkvqDQhJ0AO75YtssfP32Bb742i+tKPvHOPfyl+6ZZWC/z6186weJ6hQMTaX7qI7eRK9X47FdPspKvcsfeQU5dXeP9d06ybyzNHz11gYX1MvceHOblC8v88EMHePj4OE+9McdvPXGGgxN9/Nxjd6ILwfyaKvtrL1zFsl0mBuL87Cfv4IvPXmJmucjCepmjU328cWWNf/xX3sFQOsoXnr3Ef3tpBtPQ+Ws/cIS79g3xJ09f4uJ8jvnVEvlynZ/88FEeODzK4y9f41e/+DqFcp0TV1b5yH3TfOTe3R3bP5gM84sfPxKgHw1dIx01GEyEN5iumg/rM/MF1st1ilWbB/cPcm2tzEgqwvRgjLMLBQ6MxBlLR3j+yjoVy6VYs5nPVanaLpN90U1zt7VLu4IhgHhEb5jZXPVh87mhCUE0pIAFUVNHIlvcFUKouKKIqRIDuq5E1wWa0BQjhNYw3cXDai2oGLeN9X7+ahbbkfycB9j4l18/zwPTGXZ5a25Pf5S/+949/Oq3r2zgUrx3KsOvPnWF9bJaM9myxemFIj/9rt0IAd+5tM7FlTJ/7317SUcMnrua5XdfnuPgcJyIqVOqOxRqDn/vvXswdY3ffP463zi3wuGRxJbp2DeTLVffG/NFRZKaV4Pzrj3qBlKsOfy7Jy8zn6+xdzDWESa62aZQs10WCzVOzBf4+LER4v2NqrwxX2CxWCdsaERNjcVCnfFUmA8cHPTyyktyVZvzyx6NTaZhLqtYDjPZCtmKcgQuFOoIYCIdARqU/9eyFc4ulfixd0y0MH0vFGt8++IaibCB7UoWC2u8/8AABwbj1Bx1kKyW61QsJyh7IB7CT5JR9Q7GNxYKfOr2UaLpxo3sxWs5CjWHO8dVXE6x5vD4uRU+dHiQvqjB9VyNJy+skooo6ppnr1o8sn+QifT2N1hffMeo7ajEdsmoQbHqULUc0jGTkK6RDBs4bsMha3kqmmIuVmwR8bBCWyYjBnXbxZW0BE43S912+fKZZSbTEfpjJpYj2ZWJsFys86XTy+ztj3JivsZcvsa7pzNkKzYXVspETI2nL2d59MAAh4bjnFsu8dxMjgODMRYKdQWg0AXfubzOQqHGWCrMS7N5PnRokFRY509PLLErowAFT11a57HbRxnbJrw7GTb40KHhnn5rOy6z+Rq2F48ylgqzXrbI12wm0hHqtovtSo9pXVERzearKjeSFwP07Jl5vvz8Vf7ZZ+4jGjIImxqOK/mPf/Y6e8fS/K2P3c5vPn6a337iDB+8e4rXLq3wMx+/nX/3+df4hb98N//1m+f48UcPcX4uy2Pv3sfnnrrIjz96mD/77mUeOj7OO4+MUqxYPPHq9eBqM5yJ8j9+8AjPnV3kF3/0XmIRk3jE5MpigeG+KEvZCuWqzcRAnBfOLTE1lOBPnr7IL/3EO7m6XOCX/+Bl/svPP8pSrsxzZxb4P3/qQd64ssZ/+OIJ7js0yoPHxjg3m6VYsfjpv3RbC9tAuywXawwnw+zrEJvYLmtli6VCjcMjCR4+1EAADiRC3LGrkezwsXsmAIiFDD56eyOlxQ/fu/30EVJKXp7JcWw8GQT2CyFoPte0Ds3zqYYa37eu32hIC26eCJp+2/hdM7pS22SXr1gOsZAesOxETZ2K5bYwnHSCkgohmOqLMhgP8dpsgUcODnByoUgyYjDdH0UCL1/PoQl47opiLSnUbFaKdVZKFpMZHV0IHpjOBIrcvsEYz13N4krZQtS9XdnyYBpOhjw6e4UU8eXqeoX5fI1/8Og+9g3GOmrXm2WwnOqLMpQIcWm13PE35brDx44OkwjrXM9W+fLpZQoeKWw8ZHD/VAbLkSy3IWsyUZMH9yjYctRUEOHmTV0TgkPDCQbjIS6ttvKtCaHSQ3zy+GhgD/7G+RXOLZfYP6BuXO+aziCRrJYs3r+/f8OBscdD211sQ/cZmuDwSILTi0VuG01gaAoFGDU1RpJhbFfy7JV1Dg3Hudsj//yOR2PzidtGbkr7WMzXGE2HWSspHsNcxaI/HmIhV2NXf6sPLGxo1CxlE7ccyUqxzkhKcR6uVOromqBQtUlucaOo2y73TqY8H5taFK/NFRhJhDg+lmQ4EeaJC6s8MJVmIG7y7j191GyXopdq4pBHSCmlZFdfhNFkGFMTlCyH04tFPn3nGH1RFdT76lye9+zpQxPw0N4+hhOK5XuxWNv2wbQdsVzJVY97MBUxIK+opQxN49RCkbFUmLWyQpzePpbkpes5hhNh3lgokJjKEA/pvHphhXcdGWXvaCNws1S1OHl1jZ/68G2MZKK8745JPvvVk7z39gnG+uNMj6SYGk5yaDJDzVKUVZODCaZHUkyPJtk/nuYLz14CwDR0Ym1hEYaukY6F1P/jYaJhAyklhqGxZyRFvlTn0K4+lrJlSlWLF88vsVao8fvfOk/NdlhYL5Er1RDAu46OsXs4hSYEv/HlGiCJRUyiYQPHlWTaKJZ88f0bu/tjAdGzrwjpmuJKREKfx1dYrDl8+/wKayWLtMdR6G+GpZpDsW4TC+kkPQtDxXJwXRUTWLYc0hGFkpNAvqLCClIRM0Cv+RkHLMclauokI6r+c9kqf/LqHMnIFKmIwVDyxlKuNMtm/Hc3InfvSvPM5XV+96U5ECr4/Y6J3vLJmbrg/t0Znr+a5cG9fTxzeY37pjJETM0DcLjomqDqJVsydcEnj48Gvj9No8WPr7W5A25UtjyYMlGTV67nmO6PkqvYTHokvpbj0hcz2NW3MbfQTshoKkwyrBqcjhgB/LpddnKApVT23WvZCnO5GnUvx9S26W86iBCCPf1RXphRgI3BmMnZ5RKHhuNqw607LBZrOFIGkPBsxVYL7Ga1D114NEzq9hM2dOJhneVivSXwWFG5NG66Pq2JfzNKRw2yFRvX3RoJGTHVc6oo4UHOLZaLFmVrDVBBrS5wfrnEi9fyDMRMZvNV9nixHIeH47gSnji/RsTQ+OjRIVxXOYJj3oaSDBvM5WtIqUwmvnPY0LSOOXR2WqKmjqGrAHDfDJuJmlS9W+Vsrsr+wRimrpGtWGSiKg+Yb9bRNWUibhdd04LPbcdF87Rh9X86EhWD/3lvdW//mfCeR7TG/Bi6xu7hJO+/U904Pn7/HvqTSqGJeGPc/k7fkd5NHFfy1IVVvnl2hb989zjvPTiIBP7klTmurqm8QsuFOvfv6eOH7hzjxavrfPPcCq6rclfdMZnm4QMDXFgu8TvPXcPQNaqWw2fu28Xh0QTPXV7n+Svrit+wYvGBI8M8sKePZy6t8fWTS5i6urH8zYemGYiH+PKJBV6+lsPUBfGwwU++ezf5is2X3ljg3GKRL7w+TzJs8Jn7d5EI7xhhzk2LECoZ5FAiTDpqMJIM8+EjwwzGe9uzhBDcNZnia6eXeXU2z0Khxo/dO4kQAh2YyEQoVG1+6PbRYE74vseq7d4yiqMte9h2lSlosVBv0T5HkmEcF5aLdeKhxhV3p2SDabBL0Tu99zx9eZ25fJW7J9LKxOVpDTshqbDBeFpxxBkjCdYqFu/b3w+odmhCsKc/Rn8TEsnUbz5bbd12WSnWqVguY+kwi/kaS3llKnVcSaluowlBPKx40GqWS6GqNNCa5bJcqBMNqYNmPlcjEzO3ZmXu8NlYKkLM1PnQ4aEAUmtogleuF7h9LMltowm+eGop+L0EbhtLcHgkzh+9tsCVtQoHBmNETY3VssVYSmOxUGMgZjZtjNvrq/V8hVfOzXYMmhXAkT3DjA121z6VJUaZYxypyD4Vka9EE3BsNBEcWOOpCAII6VoQS/bAkVF++Q9f4p4Dw8QjJhFTZ/9EhncfHeMPvn2ej963hz995iIPHhvbXAHs1GwJq4UqS7kKhUqd+bUyw31RQoaOaWiEQzrPnV1k11CCqaHudEnvPjrGl567Qs1ySMVCVGr2hnTg7d03nIny4vklTs2sMZyJMZRu9bPpmuCTd4yxmK+1BNfXPNqnv/3ePcysVfi1b1/mI7eN8N6Dgyzka2ia4FN3jweK6udenuP9h4d4995+njy/wudfm+cXhvcHt51/8fHDxL1EfcWaw5++Ms/fengPU/1R/vMzMzx+ZplP3T3Oibk879k/wIP7B5BSEjI04iGdT909waXlMn/jwWkVq9XWzmrN4vlT17Fsh7Cpc8+RSaLhm1dkpZTMLec5c3W54/eGpnHHwTEyyShrZUsBQKYzREyd5WItICeWwHy+Rr5ika1YCODMYlGZk5PqNtsXC7F3MMYX31hkMhMNgs2FEHzw0CD/7luX+c/PXWP/UJxizSFftfnhO8duuo2byZYHU8zU6I+ZijU4bOAnvRyIh7hzMsW//9YVPnB4MLD/N8vuvmgQ5HqrpCPaBcUcULe9eIMe0VGOlFxZq3DXZIrDninppesbDyVNCA89Azq9le3LkeEET19ZRxOCkUQoSKwWNjT6omrD3zcQC+IY2hFWNyIhQ+P/Z++9w9u4zrTv38xg0AES7EUkxSJKFKneLMmW5CL3prgmsdPjOGVTNpvNJtlkN8nm3U3d9N7sZO3EsR1blm3Jlotky+qVahS7xE6CBR0DzMz3xwAQG0hKlp2877f3dckyBfBgMHPOeZ7zlPt2WExkOQwesuJMK0oiZKHpeorfTBBAkgSKPVZDgkASmOUxciVmSUTTjAU7nll5AgRj4Yx+hyAILCly8dzpAf50pBtRMNgeVpVmUJVjZ/+5ERoHgoRjGpmJEM3xngD13f5EGa5OUYYFi0nk8nIPL5zxGs3Hus5N8/MSp6TzIZJk8ng61Dd1c9s/PpTm1CLws3/ZxP03LZv0dy0mkZp8ZypZXeQ2NlZdNxLOhvExKHUU1Si/HQ7HkSUhldheXJnLJ25dyNYD7Wg6XL+slLklHj50/Xwee62JR189w5KqPG5ZVU4wEmNldT4um5kV1XlYzRKrawrJy7SxuCKXTKeFmtJsnDYzK+fmowNP7GqiqWsEiyzx620neO81NZQXuHHZzXzq9kU8t6+digI3918zj/llWRRk2Zkf81CY5cBuMRlKrEUZfOGeZWzZ20pc1Vk5Nx+AOcWZKXoth0Vmw8Jikk9gw8JZtPf5efSVM9y8qnyCYRIEAWESb0ASBaryHMiJ3KckGKer0YUHydxMJKZydjDMYKiXVxsGUrmW5JOcnW0fw204FFLo9kX43e6zyKLASDhGbZEbkyhw59JinjzcxWtNXq6bn8fK2R7jdErS+WDSfsf+oSDv+tIjeEdCFGS7eOXnDzC7KCvtfLsQbN3dwCe+9fSkrzntZp7+zntZvbCMPn8Uu9nEzuZBBEj0cIl8ZkMFVlnk0LkR2gfDuK2GuOf2MwNU5zrYmKgqNokC11TnsO10P9dU54xxhGdlWvnsVRXsahnieJcfh8XE4uKE5I0KS2dljHGkC9wW6orG8gkmKzqTJ+jk6X8qzOhMOhKJUeCy4hxVWn2mL8DrzYMEoiq/39thLLZxW+inN5SzrDRj/HAoqkaLN2TQ6sRUzvQH8UViFGdYU1o+6aDrOt2+KH0Bha6RCAElzuFOH26riXLP+Z6MWZk2XmsZ5NVmY8NaVOQiwyoTUlRavCEGwzEicZXj3X48dpnZHhsOs0RxhoX6bj8hRcUfNa5vfNiqOMPKsS4/rzQZm+O8PAd5TgvRuEazN5Sq6T/dF2QgFKMk04onYYCKMywp5oD1FVmpOyaLAqtnZ/Jq8yB9AQWbLBJQVEoyrCyZYbxYiWupcmNV01Ld5pl2I5YuJcI/ZpNxCoupRnPz6HyRLAFyUpbBMGpmk9EU6A3GEnIfU08qq0nk7kUFqZN0Eg6zxO11eQSiqlHZlHh92Sw31blG06NVlmgZMPJztQVOPDZjc8xJaB4JgsDcXAcuiylBvmrDLBllrnctKsCZGPPKquwZNW1nOK0smVuMdySIPxRFiakEw8qkhmo8REFIeeNJpAtxJk9ISTHCJCRRYP2CYtYvKB7z7y67mQ9eNx9V0xO0TjpZbit3b6hGlgTeeeVcRAE+dH0tMVVjdn4GskkgN9OB0ypx39XziMY1PnBtLYpqzAtzgok6OU+WzclnWXUBDrNxX29ZVW7c97LsCde/bE4ey+aMLQq5enFJ6v+z3Vb+6c6lqZ+dNpmP37Jwuls4KdI1vIvCWOkKWRLIdspcPz+f2iJX6j3J/PD4SIPdbFCLveeyEnKd5tT8BqjKdfCP11TRMhDkx6+0UJZtpyjDiiCcb4B9u5Gf5WJxdSHD/gj+UJRYXCMQGnvCHA7H+dOhLj60upTKBDv/UCjG17c10h9QqMixc0tdfur98YTqsiQazrWmGUVRc3IdqcbbSEzFlGgEVjWdXKeFm+vyQddT1bJJ5e5NiwpS80rTdWrynTgtRoGUlAirdw/4efLVkwTDCoIg8J4bF1OQPTWh8YwMk8cm0x+M4hhlmCqy7XxhY9WUv1eYMXniWdcNz1IQYGVpJgIQTTSRAczJdYyJT1tlidVlmamNLKpq+CJxyhK5iFiCBy7VT5HYvGyyyEBQwSyJqU1a1fUU19ua2R7jsxMMEgDrKrJoGQwTUlTm5jrJsJnGkMwKgkBJppWb5+fS41cwiQI2k5T4XsYmIokCl5UZ3ytZmZWEWRJZV5HFUChmKLiOqpyZ7bGxqS6fc8MRInGVIrc1VWadRDRu6C2ZEnQ8cvJvSaTNG0pVhx3t9LF+TjaiYCjpdiXKtpMGCYwy0w1zsglE41hMRnOgkFjYrYMhrCaRihxH6vpynDPryxIFYdJya0EQGA4pNPQFMYkClTl2Wr0hshxmojEjRFCZ66BtMIxZMopC+vwKVbl2Okci9PiiFGVYjSbM/hAlHluKsklgbNvBeKOYDnWVBTz7g/ejqhpKXMU7HOLT39vMzkOtM/r9C4Gu6+w/3U19Sx/vu34h0gyooaJxLZVQPs8LJ44hTA7HDMkJWTpPdBxJnHJHqwyrqlFxGUvkocySSHySPsC3AyPhGMc6fbQniIZdFhN10zhglbkO/nSgwxCbzHWwoNjN9fPzeeFUH10jEZS4RkWOg9UVk/cuZjnMrKnM4q+Hu6nIteOPxFlXlU1Ztp3HDnYm8n06DosJa2JeOSwm3BYTfznUSVGGlavn5V6Q7M6bwXWrq1m3tBxV01GUOJ39Pu7/yp9o6Twvm5N83s0DIVxWE3FVY//ZEewJAcvR0HWdpoEQXT4j/B2Ja4iCsb8ni0QcZolun2JUBuuG0cp3mjneE8CcUC0YCscwSxJuq4QvquKxmhgIKtjMEqWZVk71BYhrDiqzjf35jfqzLJtXxNwy44TmdkxPOjAjwxRIiM8NhWKUJ5wph8VEVa7xgFTdoH4Ho0JjtMrsZLAkFEHHQ9UMvimnWcIqS0TjGoMhw0ufn+9kJBJnJBwnK8HkOy/Xgc0sTZDMAMNbKs+yUz6OsNRlMRmS12lglSXmj+u9Gs8MkVSinTWuP8UqS9OebgQheV2Tv5ZpkyfI0SehAyd7AgyHjOo6b1DBY5exJ/oJavKd+CJxnBbTBD68s0Mhyjx2mr1BTKLI0pIMLCYRRdU40jFCOGYIGFpN5zvLZ2el77+5WIyE4ykW5bbBMKGYxrlOHy6Lieo8B2cHw3SPRLHJEuXZdmRJIKRodI1EmZVppXnA2MhmZ9suyaYqSSIu+3kHKsNhxW0fu3B0XWfQH6F7wE9ZQSaxuOFRIoCSIGPtGvCT73FgkSV6h0LYEmz4siQRCCsIAswuyKSmLJtn9zShajqiqNPZ7ycQVqgo8mCeZMMzJbgjJdEoiFATTogoGA6PbBKJaYb3quo6cdX4IwmGA2KSBCKK8bfZJKIlqHHQSXnOfwskK+Y21uQZDlxC8G9DdU7q1Om2mXjnilmpnxeXuLHJpQwEFDISTflrKrOY5bHRnnCkqhNrt7bIxSzPuPAhcOeSIhr7gvT5o1TmOChOcOetnO2hcziCJApsrMlLbepWk8jHN5RzqieAJcHo8HZAEARkk4RsOj8nLBYT1nEn9AyrifdfVsL2hgH2tA0hSwIlmTY+urZsUv0vTTcYJPKcZtqHwlgSMjmtg2EyrEaLjKoZnJR+JU5Fth1d1w2VZklkJBI3DJlunNZE0SiscsQkClwGqXKOwzyGuCDDaWXL6w2c6x1BEkWuWlGBxzX13jIjw1SSaTWKH0adgHRdJ6bp7Gkd4qUzXvoDRiVZtsPMlXOyWVuRhVm6sIIIJa6xt93oUSnOMNRvLbLIiZ4YCwrd7G4dYmmJG2uit+lwh4/V5ZN7R/9PQtcpcFk4NxRGlozcX1AxThoCRp/HcDhGjtOckJrQsJuNLFg80axclGHlRLcfb1DBG1QSMXpDYqQsy5YqdnEYD++SfwW7WaLAbUxgJSE/XuS24LAYbO+KqrGwyIVVFvEGFXr9CkpcI8su47aayHOaURIEtZWJ09xbjUA4xu+fO0pZQQbb9reycXk5Lx9qQxQFrlo62/BEO4d4Ysdp5pVm03BukEBIIcttJRpTKcx20j8c4o5185hdmJEKVbX1jPDXnQ14XFbqW/q5c8O8CevF4FebzGCJJFfj6E0g024saXMiSKzpIJiTstdMOtbfAh6HmQ3VE5lTKnPPP1OrLLGkJDP1s0kUqR3n0IqCwOxsO7PH8d8VuK0UjPMRBcFQsq0pdFFTODaUNCfPyZy8ib1URqTAwhVVb13bwZuBIAjUFjipLXBOYOCYQF3EeR21gaDC3FwH0bhGrtMwJEZRjuEcO2SRAtGcOjlW5dgRMUKByXElUWA4HMNtMZGbpKsDMm0mwqMKxuaX5xFV4gz6whTluscY23SYkWHyBmMsKnbT2B88z9QMbD7Wy5YTfczLd6QMRNdIlIf2ddDti3Lv0qIL6r+RJQFF1cmym+n1RSjx2ChyW/EGY2i6Tr7bQlmWcQT3R+NkO+T/35GkOi0mLpvtSXmRum7QkCQLTwrcBj/WyrLMMfdmXr4jJQG+pjwLu1li1WwPLouJLIcZWXKD41MAACAASURBVBISxQTGyTUS18iYxON6syjOtKYorSbD+HDh9aOkFIBpc5BvBQb9YfY3dCOKRkitvDADfyiKSRKpKcvmmV2N9A4GaO8ZYW5pNivmFdLWM4Ku6QwGIly1dDYd/T5On/Myu/D8af1U+wBnOgapLM5ENomT0g+92UpXSUjfT/i/+H8DowtDpnwfRvFVOKbispjG8J6OjtJMpjk2XiIoiclC5lZgNO/uSCDC0cYe3A4LXf0+ls0tgmmCMTPaeRwWid2tQ1TnnfdmenxRXmwY4MNrSlg1ahNUNZ0D50b47Z5zrKvMosQz83CQJApUZNtxWiRGwnGKM62c6gkwJ9eO22pKsDeA2SSwvioLUTDo6zMnIXp8M9B1HVXVCEVjxGIqGkby2mEzJ3RNLm6h67pOJBonrMRQE/kci2zCbpVnlG8QBEOAcXxzq1PTCEViRJU4gq6j6CoZFjlVpCAKArnOiZMt2Z80fjxV0xB1jUAggk/XkUQRq8WEzXJxnIbjoek64UiMiBJH0zQkUcRiNiXCX9NX7CSfTzgaR4mraJqW8IZFbBYZcxri3ouF02ampiyHm9fMwSSJeH1hJElEFATO9vrYe6qTOzfUcPBMT6piTBQEVHTC0TgnWvvpGQyyqCofX1AhFI0xHIhQmO1k/uwcbrqsCqdtZhRQuq4TVeJElLjBOKHriKKIWZawW2Y2jyYbU9V0wtEYSmzs/bTIJixm0wUTveq6TlzVCCfXUIKfTjadH/NinlFc1QhFFJSE2GPymV/MeHFVwx805DDsVnNq/iWvPxBSiMbiyCYRp80y7b0dTaGk68b9DEcTc1wSsV/kdV4qCIKAwyzNOP96qXCipY9br5hHTXkeT7x8nK4BHx73JQjlBaKqEesflUjt9UexmEQWFrmNeHtyQEmgrtCFwyzR649ekGESBIMdAUg18o4O1SUb2ywm6S0J4+i6jhJTef1oG0+8VM/RM130DgWIxzWyMuwsrCokO9M+wTMxyyY+dudqZuVPnrvSdZ3OvhGeeOU4L+1roqnDiz8YxSxLFOe6WVlbyt0bF7JkblHaY66u6+w/2cFjLx7FZpF54B2rmJWXQVOHl0e2HmbHoVbO9gyhKCouh4WK4iyuXlnF3dcsojBnZtLkcVXjeFMPj20/yu76s5zrHSEajeG0G+NtWF7JXVcvpLQwc1qpkGBY4Yd/3oV3OMjaRbO5bX0tggCd/T4e3XqE7fsaae0aJByN47CZKS3IZOncIj58+yoqZk1k1EheX0fvMK8daeO1w62cbu+j1xsgFFEwSRLZGXaqSrK5cnklt66bT0H2m5dkB8hyWbn7yhoON/ZQVZyF3WLi/msXIAjgCyrctWE+Z/tGuG9jHQXZTiyyxKwcF5qus21/SyKHlMniqjz2nuxiXkk2R5p6uWJhCRElzqHGHlbWFKX9fF3XCYYVTrT0sn1fE4dOd9LS6WXYHyGuqjisZgpz3SyaU8ht62tZvbBsQi4iHUIRhdcOt/HMayepb+qhe8BPOBpDNolkOK2U5GdSV1nAuqXlrJg/iyz31JIJuq7jC0bZvq+R53c1cLK1l76hIFElhlk2keW2UVrgYVF1IRuWVrCougi3Y3rKragSZ8/xszz+Uj2HTnXS7fURi2tkuqxUl+Zy/epqbltfS67HMelYQ74wP/nLGwRCCh+5YxVZbjs//NPrPPbiMYIRhUVzivjn96znsgWlxFWNp149wY8fe4P27iFyPQ42bajjY3etJnOK3IgkiYiigHc4yF9eOsaW10/TeHaAUCSG22FhfkU+77iyjluuqMFpf/tCg9v3NbL1jTOAzqLqIt553eIxe3Y6DI6E+NGfd+EPRbGYjT2uOC99fj4dls4t4pEXjrL5tdM4bWZuXDt32t+Z0exNlmiPLnWVEwy6SsJrG+0pxFQdJa5flDLn3xL+UJSv/mo7Dz1zgGDEqMQTBQFBFOgdDHCqtW/S33PYzNx19YIJhknXdTRd57ldp/nKz1/gzNmBCbLqXf0+9p/s4JGth/nonav5zLsux2GbnMblZGsvP/nLbmSTxKoFpZxo6eWz/72F1q7BMeWs/cNBWjoHeXl/M4+9eIyf/ssmFs0pTLv4k97dj/78Bj9+bBfe4dCYhsmBkRBt3UO8crCFh7Yc5OsPXsst6+ZPObmjSpw/PneIls5BegcD3LJuPgdOdPDp726mvqlnTMnrwHCQ9u4hDp7q4KbLa6iYNbEyJB5X+c/fv8JDWw7S4/VPKl/Q4/VzoqWXLa+d4uEtB/nx5zexuDr9954pBEGgpiyHmrJJ2OQTkcal1QUTXwMaznm5fEEJRTlGTmPDkjI2LDlPaLq6dmr+Nl3XOXN2gM9+fwu7j7UTjsYmlC4PEKK9Z5g99Wf54/OH+dBtK/jyh67BYUsf9kw2cH7xJ1t55rWThKMTxfC6B/ycbuvnxb2N/OSxN3j/rcv5zqdvntCvOHrMhvZ+PveDZ9l5uBVllCObRFe/j+PNvTy/6zTff+R1vvKhq/nkvZenPS3quo53JMTXf/MSjzx/mEB4LAXZwHCQpnNetu1u4OFnD/HNT97I6gWlE555IBRNzZ26ynyaOrx89487U20B3QMNNHd6efJb93OsqYdPfOspfEEjb55c+8GIwr8/sDGt8yibJM71DPMfv32ZnYdbUUe1HAwk1uQLu8/w3Pr5fPtTN5Gf9fbofTmsZn73zH5CkRjlRYbDWjRF0zgY9/31o218J3GPFs8t4p/uW3/Bn63rOhXFHj533xWEozEi0fiY+5IOMzJMuU4LNQWuMX1MJZlWLJLIY4e7uaUuP0WBMRBU2HKiD4tJnFFVVzraktGNpZPR6o9/PRlCGT/uZOMkxxr9mqrpfPePO/nFE3sMRuj8DN5/6wpW15UiyxLNHV7+8Nwh3jjajqbrWGSJyxeXU12WQ3VpLmWFE4swdGDzjpP8w7efxjsSQhIF5pfnsai6iJxMB/5ghPqmHo419TDkD/Oth18lFFH4949sxCKnfzSxuMpfXjzGG8fa6ewboSjXzbKaWZTkZ6DEVI4393CooYuoEudwQxf/+L0t/OWb95GdMblAWjSm8vVfv8SPH3uDuKphs8gsnltEzew8HDYzPV4/B0910No1SHOHl4998yl04Pb1tTMK8XT1+6hv6uHD33ic5g4vOZkOqkpyyHLZUDWNbq+f5g4vxbkZ1FbkT7pYhQR1T9eADwGB/Cwn1aU5lBdlkem24Q9FOd7Uw9HGbpSYyqGGLj7738/wxLfeM23Y4FJD13W8/iiZDjN3baiZ9v2xuIbXHyE/0zbpd3fZLbR3DRGKxLDIJipmZVFZnE1xnhuzLNHRO8L+Ux109I4QDCv89PE9lBdn88CmlWk3vnA0xud/9DxPvlyPDnhcNpbOK6ZyVjZ2q8xIIEJ7zxDN57x09vtQNY3VC8umzFcNjoT4+Def4o1j7QAUZLtYOq+IskIPZpOJQZ/h4DSdG6Bv0JBRWFFbMqVRGglE+NR3NvPUqyfQdJ0Mp5Vl84qpKslBlg1DsP/kOboH/Bw41cEHv/YXHv7qPSyfPyvtqfuJV45T39jN1SurKC3IZPveRlq7hmg8O8AP/rSLvcfP4nJY2XRlHf5QlOd3NRCOxvjjc4f5wK0rqJw1sc8LIKLE+ecfPsehhk4Kst0sqymmNN/gMzza2M3RM90ocZUnXqpHFAR+8vnb35aT06LqQlbWlvDqwRY6+oZ5aV8j992wdEqjGFc1nt5xgniiB+7WK+aT4bowbTld1zne0otFNtHRNwIInGjpZd2S8ilPnjBDw9Q+FGYwUdFVlMjzuK0m3ndZCb/Y1c6etqFUMj4SU3FaTHxkbdmMpAM0HY51+6krcNIxEsFqEhkMxQgqKh67TKHLwpmBINGYRl2hi66RKKGYQaEzL8/JiR4/qq5T5rGRNy6P0jYUpi+g4LKYKM+ycaIngC8aI89pIcNqonMkglkSqSt00XJugN9tPmA0lHkc/ObLd3H54tmph7dmYRnXrZ7L+7/6GK8caAZB4IO3reD2DbWTPmBd1znT3s8Xf7IV70gIp83M5993Je+9aRk5mQkJ9ETY4/Htx/jXn21jOBDhl3/dy2V1pdy6fv6UE+fxl+pBgLs3LuJLH7iK8uKsVFNcIKzw5xeO8IUfbyUQVth/8hzbdjfwzusWT6zU0XWefLmenz+xh7iqUVGcxTf/4UauXF6JPSEpomk6nf0jfPvhHfx2836G/WH+7ecvsLi6iPIiz7ReX0vnIJ/7wbN09/v5xN1r+cCtyykt8CTIQ8EXjNDWPUR3vy/thJVEkXffsJT27mGuWVXF2oWzKcxxpWL2uq7jD0V5ZOsRvvyzbQTCCvtOdPDqwWY2XVk35fXNBEpc5WjrIHaLiWyXheYeP1WFbjoGgkRiKuX5LkySQFgx5v+xtkFWVefS2htgKBilrtRDvy+C1xelrszDqXPDZDjMeBxmjrQOMhSMctfa8on8dYJAQbaLj965mpZOL5uurGNuWS4etw0pIeKjahotHYN87ofPsm33GWJxld9t3s+91y4iwzn5ZnK4oYttuxvQgfIiD7/80p2sqJ2F2SSl7mcsrtE/FKC+uYe99We5annllM/6pf1N7D1+FoDl82fx089vomZ2LlIiL5vMj/UOBjh4qoMzZwdYXF2UdkxN1/nRn3fx9A7DKK2YX8I3P3kDS+cWY0mEKuOqRtO5Ab700608v6uBtu4hvvTTbTz2X+9OO5e2723kgXes4usPXofNYmLHoRbu+cL/4AtGefjZg2S57fzx6/eyemEZ8bjKp7/7DL975gBD/hCHTnemNUxd/T66B3zcuGYe//Gx66gqyUmtyZFAhIefPcTXfr2dYFjhqR0n2LhqDu++YclbfmqyW83ce+1idh5uJRbX+Mv2eu66ZiFWc/rcfPeAnx0HDSLgTJeNW9bVXJTSt6rq7Dp1FodVxmm3EEv0r06HGRmmFaUZxFQdq3w+dCMIAguLXHz1xrkc7fTRNRIBjKqrxcVusmYo/ieJAlaTaOgzBRVKPTZaBkMUZ1hpGwyR7zTjNJsYDkcYCsUIxuLkOy0UuCwGz1vMaESdjGjVYhKxyxLnhsPkOGREEQpcFpxmE22DYZaVZNA2GKIvoPDakVYGRgzGgY0r53DZuHCAIAjkeRw8sGkVOw62EFXiPPFyPTeunZdaJKOhaTo/fuwN2rqHEEWBB++8jE/du3ZMGEAQBDKcVt578zLO9g7znT/sJBSJ8ZPHd3PNqjlThmI0XWf9kgq+8+mbyMl0jBnTZbdw/43L2HP8HP/z/GHiqsbL+5u5e+OiCWGY/qEg33/0dSJKHKfNzLc/dRM3rJk75ruLokBJfiZf/ci1nGztZdfRdpo7B3l02xG+8L4rp51oPV4/gyMh/u2BjXzi7tWYR50GBcGY+ItdNhZXp8+zAMwpyeYXX3zHpMUNgiDgdlh5/y3L2X/yHI9sPYKqabx2pO2SGKaWHj9ef5SqQjcvHeuiqsDNq/XdDAaiVBa4aOv10zUYIqZq3LaqjN6RMKGoyp6GPuaXZnKw2cu5gQA3Ly+lsWuEV49347TJZLsslOe76PdF0n62KAp8eNNKREGYNAEviSJVJdl8/cFrOXiqg4HhEK1dQ7R3D7FwzuScZqfa+ghHjXD1DWvmsXZR2YT5bpYlivMyKM7L4NrLqqet+jpypjvRnyVwzzULqavMnzCm1SJTVuihtCBzWrqtM+0D/Obp/aiazqy8DH78z7exoKpgzJgmSWRuWS7f+dTNnG7rp6VzkN317by4t5E7r14w6R5kt8rcf+PSVLHDytoS6ioLeONYO0pMZeOqOVxWV4ooCJhlEzeuncfvnjlALK7R0jk4pdBgVUkO3/n0TZQVnnfYBEEg02XjwTtW0dY9yM8e34MSU/ndMwe4bUPtmD66twobV81hdqGHls5B9p/s4HhzL8vmFad1ql850EzvoKE3t3bRbOaUTC6KOhUEQWBxdSEVxR7sVqNwbHlN+jz6aEybBBIEAafFhMcuT6BbEQSBXKeZa+bmcP+KYu5fUczV1Tlkp6G6T4fiDCvtQ2GsJqPZK8MqU53jYHWZh3PDESQRMq0mo7IHwaDXEY2ehKVFbkKKOkFmIqbqifJ2Q3DMZTHRH1CIxDWyHXKiY9qg3RGAhvaBRLmuQF1VwaT5E0EQqC7LSRmMU619RGMTY/MAZ3uHef6NBgDys5x84NYVaXMykiRy1zULcTuMCXr4dCdNHd4p75lsEvn4XavThufMssT1q6tToRej0CA25j26rrPzUAsNbQZR5NrFs7lyCq8402Xlno2LU7/73K7TRJTYpO8djxW1JXx408oxRulCIQjCtFVNZlli/dKK1L0+1zN8SWj4PU4LA74IjV0+8jNsNHSOUJhlpyTHSYHHTrbbiqbrlOQ6CUbidHlDtPT4KPDYKPDYcVhMOK0yB5sH8Dgt5GVYqZmVyaxsB83dPly2iQShoyGbpCmrwgRBYE5JDlWJDSQQijLkC6d9vzTqHg75w9PG/cezmU865ijZ9kF/eEoan2Tl4lR5z7++ejy1Ob7jqrr0YV5BoLQwk+vXGEn1ZBgq3XPPzrBTVnDecJhN0piNd83CsjH3uiDHhSWx93lHQmPyo+Nxy+U1lBZOHkUwyybed/NyMhOn2OPNPTSkIWm91CjIdnHT5UZYedgf5qlXT6R9rxJTeea1k8QTDdh3X7NwUud7pmhoHyCS2HuG/REik+Qzx+OSNaqMfhCarvNSwwAVOfZpq+d0XcdlkYipmiF1YTaatU70Bsh1mMmym2kbChneVoLx15QIYcRUncaBEFFVo8wzkb3YaTHRPhTGbZUZCBoKjRZJ5Ex/iMpsO/XdfqwmiTynmWAiqSoIJKSmJ18wJknElGg6iyjxtIvvyJkuugd8ACyaU0RhjjvtmIJgnEhys5wMByIEwwonW3pZlMbbBSjKdaeNoyfHLC0wiChVzQhzxeNjNx9V03n1UAtKQmtlw7LKKau5BEGgrjIfi9lEVInT0TtC94A/bWhjNDZtqMU5xQnwUkEQBHIyHUiSIRsRVozm4XQJ+5kiL8PKvVcYCqHJeyqJwpjeo6pCt2FcBPjkzbUJuWyDsHV2rpOV5KIlGNVLNlSlxlpZnXtRYZLxEEWR3MTpWdN1QtH0TkNtZQF2qxl/KMqzr5/iF3/dy7uuX5LaNC8mvLR0XjGSJKKqGr9/5gDzyvK46fJ5qZDwhSAcjaVCSZaEszFVPlMUBBZUFaS43BraBxgJRCfNL+Z5nMijnGxBFHAnvzcwu2hsvthskpBliWhMJaJMLD5JjSMYzt1Uz7KqJJuq0hwOnOwgEFY4dqY77cnlUkIQ4M6rF/DwloOMBCNsee0Un7p3LbmesU3Fuq7T0jXI3uPnACgvzuKKJeUX9Zm6rjPkj7B1dyMDIyEynFb2Hj/HjWuqKcy5BFx5FwpNh0MdPpwW0wwME5wbCeMwm8i0yYiiwLzcsb9T4Dq/oeWP+j5mySBnnQyiAEtH0QO1DoZTmvZmk0CBywgHpsbNMh6QkU/xoen6pBPMOxIiEDKMWJ7HmfYUdLihKzWBNV1j2+6GKRdWJBpPVezpQGffSNr3AhRku1ObUDqMLqCIxdUJHqQSi3OipTf18+BIiC2vn5pyzLauoZRnHFZiDAwHpzVMVrOJ+RX5U77nQqDrBvlkMKLQPxRkJBAhEo2hxFWj8OF05/nqx0tEBWf0VyU/36AKSt5OXTfmm574OBGjbUIdd791fZS8djLMg+FEaZqOhoBI+jBR8oQfVzWGfCEGRkIEwwpRxejnCkdj9A0Fx7w/HRZUFXDj2nk8tv0ovmCUf/nR8zy67Qjvvn4J16+ZS0m+0Zt4IRvmhmWVrFlQymtH2uge8PPA/3mCVXUl3H/jUq5aXkV+tnNGJy8wyrtbuwYTt0qgpXNw2rnZeHYgMbbOsD9MIDy5YXLaLWNOjAJCah3LsjQhhC6KQmov0Kc4WFrNMiX5menfANgsMuVFWRw42YGm6YnQ4FtCsjIGQsJwr6gtYfu+Rpo6vOw41ModV9VNeB4v7mlkcMQQcL1hzdzU3nhRSISk+geDhCMxVtWWUFE8Pfv6BRmmWII8NdklHI1P/pQUVSOkTCwVNa5TTzDc6gn1SKPruMB1XjxtsomrJDi+xses02H8a2UeG/7EEdJlmXgiumJJOd9/5DWiMZXt+xr5+F2rJ/TBKLE4T758nFjcYMe+bGEp1kk6onVd51zPcOrnF/Y08sKexrTXOhnGh93GIzvDjihOE4mdZrLH4xrdA/7Uz9/+w46ZXh4AmqpPWhI8HhazaUa9KtNB13X6hgK8sLuRbXsaON7cy7A/TESJE4urqKrBH6ep2qWyR2Pw8O6zBvGpprFpaRGbj3RjN5vIcshU5jrYfqofAbiuLp8Bf5R9bUNkO8xcVZPLCyf6CEVVagpd5LjMvHK6nwybzLW1eexpGaJnJEJFroM1lRMXbbJZtb6phy2vnWLH4ZZUBV40ZjTaqqqOqmkT2hHSwWaR+cbHrkNHZ/OOk0SUOAdPdXL4dBff+eNONiyr4O5rFrFmUVmi+Xf6Z+dx2/jh527jcz94lh2HWokqcXYeamXXkTZKCzK59rJq7rx6IctqiqeMSoCh4utNbI4RJc7nfvDsjL5XErG4mpYh3ixLaQ2BJIqpopILhcNmKPdOh4Ls8xt9/3DQcILfMsm987CaTdyzcSE7DjUTi2v8+YUj3HJFzZgwXSQaZ/NOo9jEZbdw+4aZ5WcNkVXDaRo9AzPdNh7ctBK304JFNhGOxmY0ly7IMO1qGeIP+zv4zJUVxFWd/361Jc1FGtrw4+lkkugaifD4wS4+dHkZGTZ5RgqxTx/tYWNN7kWzPEiikJYcFWBlbQkblleybfcZ6pt6+Mz3nuEf372OimKDYWI4EOFPLxzhoS0HAZiVn8F9NyyddBLrOqnQIBjhv5kk/JIQBDBNw2k2kwUwHeKqlor9gmFALiSkZLPOjBFAFIQZNfRNBVXVeGFvI1/95YucaOlNlbEmO/adNjN2mxm7VSYUidF0buCSSxX4wnHuWVnM7qZB2r0hvAGFm9YU4LKYePpIN2urslE1nTeavHiDCrctLiTbYaa5P8ixjhHmFrjY3TLIhrk5xFWd2iI3FpPEcChGpl1OEZCOhhEOCfOdP+zk4WcPpjZr2SRit5pxWM1YLbIhMmiRaekcZNifPrc0GsV5Gfz0XzZx2/pafvnkXg6c6iAYVujq9/HI1iM89eoJVswv4RN3r2HjqjkzYtSYW5bLH752L3995QS/2byP4829RJU4rV1D/OLJvTy67QjrllbwqXvXclldKaY060KJGc5GElaLiQsRJLda5LTvFw2KhrS/e7H+k0maOg+YhM1y/kQ20xztpYAgCIkSeQ/NHV52HW3nzNl+FlQZKQNd1zne3EN9Uw9glJnPtA8wGtd45mQ/Z4fDo+66wLuWFnLgxDlqK/IoL8pi5+E2Zhd6Ukzj6XBBu1tVrp2ba/MpdFtoGQgZaqTzc1M5nyRUTWfrqcmTeoJgsN/musxoCSqUA+3DdA1HWFKagdNi4o1mL7IksqE6h6b+IE39QdoHQ0TjGjsbBxgKxVhV7iES02hL6B9dNTd3ArXOhcBpM/ONj11Pz4CfY43dbN5xku37msjLcmI2SQwMBxn2h1MVQt/+1E3UzM6bdCxBYMyGfcdVC7jvxiUXtLDKi6cmp70UMenR9D8C8PUHr2V++cxDbpIkXND7Lxa6rrPjUAsP/p8n6RsKIAiGXMW91y5iRW0JZQWZZDitKZqgZ18/zYe/8fiMTnMXAi3J3q0ZUhRmk4jTYkiJJCXSk1VpAsY60BLFNRU5Dq6vzUcUDc2mDJvMU4e7uGv5LK6rzeNUt58nD3XxwLrZYz4zGlP58s9f4KFnjFYGh1XmhrXzuPmKGmpm55Gf7cJmMRyKuKrxnn/7My/unfnp3GE1s2lDLdeumsPeE+d4/KV6tu9tpKvfRygSY8ehFqM/6NYVfPnDV+O0TV1BlqxAe98ty7j9ylp2Hmrh8e317DzSSv9gAF8wypbXTrHraBufu289H7t79aQ9e4aDZMxNu1Xmp5/fNKb6dDqYZYn87DcRgroIaJqGPoMT62iD+2YdtgtFnsfJLVfU8INHX08VQdRWFqQc0md3ncYXjCKJAu+4sm7Garw9foVwTOWBy0pSelhAQssNzpz1YrPItHYNUV40PfH2Be3kxRlWihcaScIWYJbHyo3z8yYIssU1nePd/klGmIgeX4Q3WgZZWOzmmWM9vHvlLEqz7OxqHqQsO8SuZi+3LSqkqS9AU1+A411+yrJsPH+8lzl5TgYCCtfNz0vxvl0sBMFofn3oq/fwwa8/zsFTHUSVeKKqy1gcFcXZrFtSzkfuWDXmYU6GLPf5ajmP28aVyyovisfsrYRJMmhnerx+dKCiOJurV06tsfW3QDga51sP76BvyKjQumblHH72hU0UpSkokaeSIH8TUDWdF0/2YZMlZmfbOZNhTbkaa6uy2XrcyNddX5fPYFBh6/E+PA6ZjfPzyHKY2XKsh0UlbuyyxN7WIfLcFhwWiX2tQ3QOh5lbMHEj3X2snUe3Hknwucn81z/cyHtuWopsmnh6UdJUiE4HQRBw2i1ctbySDUsr6OgbYfPOk/z+mQOcautLNO3upijXzT/cs3ZGp2RBEPC4bNy6bj43rZ1HU4eXJ16u5w/PHaa9e4ghX5hv/O5lyoo8bJqkF9BqNuGwyQz71VRhw6XMU74VCCtxojNwhoZGnWgznLa3PL80GqIocOfVC/jN0/vxh6Js3nmSj965mpxMB8OBSKqSOC/LyfWrp6cOSkKWBFwWE3ZZmqAcvW7JbB7bXs+BU53UlOdeesM0evKUeGxcNy/XkLMed2clAbIdckodciqEFaMkMdth5vraPPa1Gcl1E6NtHAAAIABJREFUWRISSpuG0F2GTSYQNSSDizNt1Ba56RwOU5ple1MnpdGIKHF+t/kAx5t7KCvM5GsPXkd5oQcdsFtk8rKd5GQ4EITp81tzy86HMRvPDqDEVWx/Z4ZJliUqirNSJasnWnq4ce3cS3Iau5Ro7fRyrLEbMFgQPnf/+rRGKdnMqL4FAngZNpk7lhal5tvti40QiCAYIor3XXZe0TXHaR4Tmrtl0VjKojmjXrt6VMh7/Hd6Yc+ZVL5x7aLZvOv6JZMaJTCKjkYC6fuhpoMgCEiSQFmhh0/cvYY7r17Av/3ixVQv3EPPHuTdNyy5oJOLIAiYTBJzy3L5wvuv4p6Ni/js95/lhT1nCIYVfrd5PzesmTvBM3c7rRTmuBn2R1DiKo3nBqgpz/u7m5ujEQwreEeCU75H1XTau4dSP5fkZ1ySisyZQhAEasrzWbOojG27z3Dm7AB7jp/lprXzONLQxek2g3btquVVFOdlzPh+22SJZm+I3+ztSLXjCAhsqMxClkQqZ2WRl6BgCkViZDinPkhc9E5Z4LawvDQzTV8BvGtZMXWFEyvmdF3ndK+fc0NhDrQP47HLeGwy54YM1ViTKDIYjKWMUJZdZsvxXobDMebkGdIN54bCKHENkyjOSD57pnh+12l+9sRu0HW+9pFruevqBayoLTEa8KoKyPM4Z6RXD7CqriRVGFHf3MO53kvTT3MpYZYlVo6ihNlxsIVQ5O2Lec8UQ/4wvqCx4bodFubNTr9BaZrOiZZeVG16Pq4LxZ3Li3CMYkAfEwod928X+2c82kcV0SyaU5i2aEDXdfqHAgnqlzcPQRAozHHzpQ9eRXGeUd3a1jXEoC900eOJgkBVSQ5f+dDVqabSU219RJSJJ71Ml42FidyHElN55UDzW/JMLyU0TefQ6c4p13mP109LokfRajZRM8Vcfqtgs5i499pFSKJg9CztPIkSV9ny+imUmIpFlth0Ze0FRR7MksA1c7JZWZpBZbadiiw75dmGwvSrB1s43tzH6bZ+Djd0MRKc3nm6aMMUU7Uxss2jYTTlGke6SGximXJplp0HryhneVkmmXaZu5YVsbYyi+p8J+urs7m2JpcHriijKtfBrYsKuWpuLh9bX87sbDt3LytmbWUWZdl2lpRkUDeJEu7FYvu+JuPBmE3UVU1OyjlT1FYWsKS6GICBoSC/23wgbZXQ3wqiIHDDmnl4XEbYcc/xs7y0v+nvzoCOTirrGLH8yaDrBnXS1kQ44lLDYze/7dpG1lEh6smIa5PQdXjmtVP0JRpSLxWcVjOOVF5JvyTl9xlOa8pp0/Xkf8bCJInccVUd5kRxxOadJ6lv6v27m5vj8dyuBvwhZdLXkowKSeehINvFomnYTt4KCILAlcsqU20eOw610tLh5bXDrQBUl+VOYL6ZDg6zRF2Bk3yXBZtsiIHWFbgSldcCK+YX47CZycmwEwxP7/xetGE63RvgsUPdRGIqvkgsxTIOxgNo7A/xnZdb+MYLTWw+3ks0kfBLMklkO82phW6VJbIcZmyyhCyJeBxmnBaToQdjEvHYZZwWU0rGN8thxmISMSf+XCoktegDYYWv//oltu0+w7HGbk609Kb+NLT1c7ZnmGBYmXKROG1mPn73amwWGU3X+fXT+/jVX/eOqdYbDV3XCUUU6pt6OHqm+21bgDXledy9cSECEIrE+NJPtvLqwZYxCdrx1znkC/HGsXa6+n1vyzXmehypnN2QL8z+kx0T7k+Shfrff/EizZ1Ts2b8LaDpOr5wPG2LRTpUl54P8+2pP4svNNHb1DSdnYdb+N4otuypoGoau+vbae0cnLS/bfT7dh5uTYWeZuVlpuWfiypxdh5upbNvZMqTTSyusvWNhlR1YVVJNpY0nG1XLq9kw/JKwOBu++x/P8Px5p60jomqafQOBthxqOVNhTTfDHbXt/P7Zw4QHXcKNJjXB/j+I6+hajqCALesm0+u5+1RYR6PvCwnt66bD0DfoJ/NO0/SdM6LANx8eU3KWZ0pVE1n25kBnjrey96zwzxxrJcXGgZQdVi/tJyFVQWsqCmmclYWFZc6xzQakZjG6y2DNPQFGInEKXBZuG9FMbOzbETiGg/t60DVdCqy7Tx1rBen2cRV1dMzBEwOo2ku9dNbdPS9e+NCnni5no6+EZ569QTP7Dw54bNkk0Smy0pVSQ73bFzIXdcsxGWfvEfn5str+NBtK/jpE3sIhBS+8JOtPLvrNDdfXsPcslysFplINEZnv4+TLb0cONXB8aYePnnvWhbOeXMntplCNon80/3rOdrYze5j7TR1eHn3lx/lhjVzuWblHGblZSCKAv5QlLauIY42dnP4dCfnekf483++i6LcS3diTYeS/ExW1paweedJwtEY//qzbWiazuK5RVhkCX8oytHGbn72+B5217dTkpdJt9ef1rhCgjbHF6bX6yeSEN4LhKIM+kKc6zPCZ5punCLdTituhxWbVcZqNmE1myjJz5zQiKlqOsGokay3mUUiMaNKz26WCMdUonENmywSjqkocYN7UsBYS0lmCiWuIwBOq4QkCmxcNYfvP/o6I4EI+0+e40s/2coD77iM/CwnqmpsxM++fopfPbWPEX+E0oJMzo4K/00GVdX5yWNvsPvYWZbPn8UVS8qprcgnO8OOWZaIqxp9QwFe3NPI/2w9nOg9MWiBsjMn37AiSoyv/HwbfYMBVtSWcMXicubNziXDacNskojG43T1+XjmtZP8ZXs9mqZjliXeee3itK0PDpuZrz94Lc0dXpo7vOyuP8vt//Qwt66bz7ol5QnWAp3hQITmc14ON3RyuKGLiBJn648+mJbA9q2C02ZGB772q+2cbO3lzqsXUJjjRlU1Djd08aM/7+JkQjqnvCiLD29aOekJXNd1ugf8DPpCRJU44agxN3sG/QwnDG4srrF9XxPekVBibhrii3aroW02lTpBEndcZRRBDPvD/OG5Q0SVOG6nldtmqBowGt1+BX9U5YMrZ2GSBGKqzl+O9tAfUChMKOKuTEi8XPI+pvHoDyjMyXWwtCSD070BfrP7HF+8topIXKVrJMKnN5SzsMhFtkPmjdYh1lUZzYPRuMF5Z5GNstpIXEPXjcoOSRCIxo0mLUEQkAQwmyAS01N0LhbTpTdOqqZht8qsX1bBn7YZVVBG6GSsN5lU5ewe8LP7WDt76s/y3c/cPME4JUkw//VDVyOKAr96ah+hSIyX9zfz8v5mwKiQmbwh8u1NhhbluPjlF+/g09/bzKsHWxjyhXlk6xEe2XoklcQczw/2dtALJSGbRD73nvUcOdPF2Z5hGtr7ue8rfyI/y4lZlgiEogyMhNA1nYVzCvnuZ27ms/+9haOJgol0eGjLQb79hx0Gc0IsPiFUpus6v918gN9uPgAY4aVks/AvvngHG1fNmTCmroPDKqJqEFJUZElE1XUssphgGBAIhTWcVgl/RMViEjFJBv9jIKqSIC5A03UkBBbOKeSBTSv5/qO7iMVVfrv5AE+8fJwstx1V0xgcCREIK1hkE5+4Zw3zy/P52Df/Om2pvKbrdA342LzzJJt3nkQSBexWc8owBULR1P0wSSI3X1HDP9yzZsrmU03Tae0aorVriMdePIZJMnqtZJOIElcJhpTUPLLIEh+4dQV3XbNwSlqtBVUF/Ppf7+DT33uG+sYeuvp9/PyJPfz8iT2IgoCOPiESWJzrfhtX0Hnctr6WlbUl/OvPt/HQloP8z/OHcdrMqJpOIBxNXWd+lpNvf+omKmdlp/3u//7LF9m882RibqoT1l9UifOfv38l9bNskrCYJQqyXPzlm/cxL00rSxKCIDC/wiiCePb10zR3GCwbl9WVMnf2hRO2qppu7N+JVolkAdvo676QPftNGaaqXDsfu6IMp8XEUCjG17Y2MhSKYZWN2vVkfLE6z8FrLYPEVB1VA5tZNGSIgXBMwyQKyKJAUNEwJ4yOruvIIiiqjp44FdtkkaCiJQzYm7nysQhHY/ziiT388M+76BsMUl6cxcr5JeR6HGNKvGNxQ4q5MeGdhSIx/vziUS5bUMYHbl0+YVxBMBivv/qRa7l8cTm//Ote9p84RzASI66qaJpBP2OSDBbj4lw365dWcOu6yTV8LLKJzIQmisNqntZ+SaLRUxKLq7gd1ik3gMpZWTz81Xt45PnD/HHrYZrOeYkm5bsxenNkScRqkakuzeHGtfOmnPzJ757psqZ6jC4WgiCwdF4xv/vKXXzt1y9x4FQHkWiMjr6RVDOyx2Xjpsvn8c/v2UBZoYe1i2fT3jOE0z4FQ7umAToWs7GoZwpN09MyLCT3bVE0xDRlScAkCglpceM1SRSMQh9JSBn+ZHEA6GNcIZMk8s/v3YDbYeVXT+2jx+vHF4wwEoggigIWWaKmPI9P3L2Gd163mN7BALPyMhj0hdI2dUuSwO3r6+j1BjjZ0ks4GieuqvhD0cT9NhgQnDaZOaU53HfDEt59w5JUqHsy2Cwy9163mJiq0dxxfu4ki1aERJO102KirrKAD92+ktvWz8dundrBEQSBVXWlPP5f9/Obp/fx+Mv1dPb5xjgSkiggmwwqoQVVBWzaUEfeOBodgw/PQmbYaghxTrh+Y23ZLPIE4yuJRluFKArYxpEBCKKhEKBpOtevmctt6+eTl+XgO3/cycmWPnzBqOFkJH53xfxZfPEDV7FmYdmU1XjJBnKrxTQpu0w6qJo248Zy2SRy77WLeXFvI0pMRRSFaeUw0qHAZSYS03jsaA+ZNhODoRhmSRwjLnshEKbJZaR98XDHCE8e7eFL11ZhlSWC0Thf3NLAJ66YjdMq8S+bT/PFa6uYm+eksS/ID3a08s1ba9B0cFoS+ixAMKpiNYlIIgQVLVVlp+lGpUckUTKeJM1EN6iMLvSomQ6apvPQlgP84/e3EInGuffaRXz9o9dRkOVM6cikboZunNpCkRi/f+YAX/rpNmJxlatXVPHUd987ZbNcUiW2rWuIEy299Hj9KDEVq8VErsdJRXEW5UVZxiY+SeWfrutElHhqoVvN8rQ0P7G4ypAvjI6OSRLxuOzT3jdNM8qtG872c6a9H+9ICF03TkiFuS7mlORQlOvGabNMOZam6Qz6QqiJZtRMl+2C2C8mQ1Jz6URzLydbexkJRJBNEoU5LhZWFVJW5MEim1JS5MGIgtlkbDiT3c9gREmb85sKAsZmNJ5xWdf1CcKUSR695M9iwunSRv07GBvwGO+SsR6mmhBJPJQIo0aVOG6HhcqSbBZUFiYoqowTuNcXQtM0Mp22tKzQSd2u7gEfjWe99Hj9+IMR4qqG1WwiK8NOdanBVu52WGe03rQEWfC53mGaO7z0DQbwhxQ03RCfzPM4mVuWS3lx1oxpjkZDVTUGfSFOtPTR3OFlJBBGFARcDguz8jKZU5pDfpZzUtJYVdUMFnVNwyKbyHCenxPJexGKKAgIeNzGXPX6Ivz82XqCkRhDvjDzSjy855qaMfMpeU2abrDvJ4s1hv1hjpzppqG9n2BYIcNppbYyn7rKgmm/e7LlIZ1ywVQQE/1j6Rg1xqOlw8uGB39B/1CQ8iIPL/70wxTnXrh8uq7rROIazQMhhiNxsuwyldl2zNKUVczpX7hYw9Tti/C1rY2sr8pmXp6Do51+tp8ZYHaWDZsscbhjhE9vKGdNuYfdbcM8ebSH/7ipGlU7H6IzSYbBiamG0YlrOmZJQNPHGiaLSSSa4MoDpvuyF4RAKMr1n/wNB091kudxsO3HH5r2GAzQ3j3Eugd+Tt9ggPkVebz68wdxOd56XZX/xf/if/H2YNAf4YdPH6VjIMhz+9q4YkERD//TxpQExngocZWXj3RweW3h2xrqvljous4jW4/w0f96klhc4yPvWMX3PnPLJXP6A9E4ZmnKArW0H3TRobx8l4V3LCzg8SM9PHW0hyyHzEfWlhKNaRzuGOGdy4p5/EgPx7v91Hf5WVqSgSyJWEwQ1xKy5oKRVxIFAQ0de+ILJG2lIIBVFpEEEGUxRfcS13RO9/mpzXe96Zs47I/Q3mVUHRXmumfsLYyVaT/PPP2/+PuEruv4o0ZVnMtiwprYXHRdZyRihJ1cVhnLNFWemq7T3OMnGImzoCxzQtgn6ei9GcdJ042y7JnM7XSnr78V9FGL9//2JeFxWvjKu1cSUeKcaJ++0rO918/nf/MGT//7Tf9XGKaIEud/th4mFtdw2s0JYcULG2Oqg83BDh+zPTbKsqaWUZ8MF22YREHgmrk5LCvJIKCouC0mMmzGcFdVZ6Pq4LRI7GoZYkGhi9sX5ht5JUFgvMNhkgxjFFBUenxRXFYT+U4zvQGFkKJSlGFFFDCk12WRLJvMYChGTNPxBqLkOy0X3V+ij4rphyMxIkps2pOPpuu8drg1RZZZVuiZNlb+9w5/JI6m67itU7M+XwhiqsZAQEHTSTVL/y03TUXVafWGyHdZKMsyqst0DOb65oEg5dl2CtxTV3J1D4X50642rl5QMGksPxCJMxRUKJ1G7mUqqJpxTRaTmJqdyQIUURQQIRFVMIxSXNUxmwznSInriRzu3+Y+R+Iap3qDLJmVvlpT13WUuJbiGFQ1PZFTEVL/Nj6EHk+wpxv7x+ShfD3BvZksmU8q/ib3ndGvm03SmDFUTSMW1wxBxlEqB0JinHR3M+kYqJrGoaZ++oZDCd2meOoaZJOYdt7/rQy5ruts39fInvqzgFH0sKwmvb5bOkTiGoc7fczJcbCrbWiMYWv1hifo5M0Ub6r4QRAEshxmPHbj4SRj6AAmATbOzWHDnGxMgjCt96cD9d1+chxmRAG8oRhn+oN47DJHu3yYJSMPdXY4RkWWHU2H4z1+MqymCdxMF4LM/4+994yuK7vuPH83vxwAPCQCIAIJ5lSsnHNJKlvBkiU59mgcR3a719gf2uPVTsszvWZGDu22p7XscZh2alu2JVmppFKVKkkVWDmQLCaQIAKR8QJevOHMh3Pvew8PAAmCrBq51+y1WEW+9+6955x7ztn77P3f/x0Ps70nzWKuxPnpJb7w7bf4Hz98k2QzbnlJnh+7eOLYGf7XP3+Smu1i6Bo/dN/+7+sTkxCChWKNVNjA2CAONpOvUnM99q7D17ZV8QSUbWlsmJpK28DV+64ve39PsFSyKdYcdE2lM2aiqwqFqkvWT+LriMrKy4qi0BE1WSqujimpiqzCPFeoXvF5yys1vvTSRWazZWzHI1eymVwscWAgxSvnFhntTfCF5y9wejrPw4d6uXVXhnenctw43M5b48sMdsa4uFCkUnOZzZW5b383xYrDi2cWyCQsbt7RUY9TKopkbBZCgoWq/kZeqsmYrAQSCZ8pGz83JgBTXJssFGtkyw65is2+rhiLJZvpfJXt6RBl22OpZGNpKqmIjqYoXFyukImZ9KdCjC1KdmkFuLhcJl9xcDzBnq5Y/TTquIKf+oMnuXV3Nw8c7uOPv/IWL5+ZQ1cVfuCWIX7l40ewDK1ee+qbr4zzN985xdilHNGQwf2H+/iZD+6jOx2pr1FPCF4+Pceff/M4b59fpGq7tCdC3LK7m8/+wAF626Wh8JUXz/N/fOFV/vJXHmTvQKPEyDNvTfGrf/kCf/Bzd3HH3o0LdLaK6wn+6sl3+eqL53lzbIF8yebjv/NYnTXh5tEuPv9L9677ToSQYQzHk6kD4Hti/PpMzfHKQILT8bUYeK7rceL8LL/9p09QrtpEwyb/0yduu2yR0I1EUxUyUZPlsmTr2dPVMMiWS1vjboRrVEyuJ8uXvzqRY7FY4/ahNDcOpMiVbbJlh/50CHOTaCwFGGmPcHq+iO16hAyNfMUhamqkwjpji2VSYZ2oqWFoCvmKQ7Hmsrcrdk0vKRoy+TePHuX4uRmqtstv/MnjPPv6ee49Osz2nnS9WutCtsjZiUWef2uc196doly1URWFD9+9hx+8e8/3NYeXK+DMXJHDfck1p9VAhjsidYj+9RJLVxnuiOIJyJauL9WREILx5TK5sk1n3ML1Gifflarjs454nJhZ4Uhf8rqgOGMhnQPb03hCcHB7mvl8le+dmmNvf5In3r7Ejp44O7rj2I7H0ZF2bMfjybdmuGGoje++O0csbPD08Vm6kiGOjshyKv/PU+cY7U3w+JuXCBkaR4baUADPk4teKAJVkQrU9QSGKnNEguJyAbo1sPJdj2suPDeRrbBQtDncG6fqCl4czzKaifLU2SXChkbU1HA9wXReFuqMh3ReupilN9FFJmZy7GKOI8Dx2RU6ohKtdWGpzK7OYNMSTC2s8MTrE3zzlXH6OmJ88q4dXFoqygrR/ssSyE3/P/79KzxydIAHj/Qzly3xt0+d5rWz8/zFLz9Am49SHbuU46f/4En6O2L8+AO7MDSVs5dyvH1+YRWopFCqcWE2v4ZstVhxuDCTp7yJst/NoigKe/rbSEUtkpHzfPWl8/zbjxwkk5QnhUwyfFlDoWzLGmIKEsWZrzgYmoKlq5Rsj4SlybQDXaVq+ydBVSFqbnwKa5WT5+f45gunSEQtHFdw+uI8X3/uJOMzWRRFIvHuv3FkS2vf1FR2ZqIsFGvcPZxmoOmE5HlsuXL0lhWTJwSPvzvP3706TUhXyZVtehMhbhxIMZmt8PnvjvObHxy9Krig4wl6EhYXs2UO9yaIWzrtEZO4pVFzBK4QJEM6Md9tOJgO8/alAkf7klt25amqwo998AgTc1n+9IsvkS9Kxt2vffdk3aUghLTOmzPaU7EQn3r4EL/2mfvrvF9bESEEY4slUiGDbMVmpeKSjuj0pkLoquojFx1m8lVWqg66qtKVsOiIGnX3xMRyhZilUXU85ldq6KrCUEeEkK4yW6gyk6+SKzscv1RAVxWilsbOTBRFUSjWXMYWijiuoC1q1F1cgXhCsFS0mS1UJWLL0OhPh4mYGjP5ChXbY3tbGEWRZRfOzBcZSIeJXgHiKpBur0v5Sj3fpzth1d19nhBcXCqTDBuUai6LxRqmpkr+LUPDE5KZ/kBvgmgL1LszblGxXSq6x/xKFcfz0NRrQwSChNemoyaJsEE6ZrFQqNbL1tZseaJJ+t+3xy2WV6oE0chgUzF1lcODaXZ0J7Adj7MzBbpSYXb2xGn3KyprKkStwKCT89rSFZrtZ9d/JlC3toE6QOhapT8VIhMzWSrZ5CsOFdtjVybK7EqNjqiJ7cqT05uXCiQsjYot0wpCulr3YJiaykAqxHLZodSkCAI18d3j0/zxZ+/h43eOoGsqnl+hN4jbTS2s8Hv//Do/eu8o/+FHb6qXUNg70MbP/een+OYr4/zIvaMoisKpySxz2TJ/8HN38cBhmcjpCYlM3QiscD1EUxVu2yOT4c9N53jslXEeOTrAYNeVE88VRSogXQhCpobrSgRrzPLjnzWfSQd5ygyAYDXHI2JuvrTgmYvz/PrnHydIRQhSHRQFHrx5B7/+Uw9siN7crLRHDNpbauXd0JfYsoG05dbMFWp86a0ZPnG4m7tH2vm/nrtQ/643GaLqeFzKVTZUTIFvNsiGB3wXhcdN/SlipsaBnjj5ioOlq+zpijFbqCKEwNJVDvbESYUlVdG1kvdEQga/8dMP8vAto/ztN1/nlROTzCwWKJZr2I6LqqrEIiapeJhtmQS3H9zOh+/Zy+HRXnRt85bLRrKwUmM6W6E3GaItanBhsUTF8diZiYKikCvb2K4gE7NYqTq8NZXn6ECSZNhAAEulGtM5j5ilkQobEmLv3ztsaLRHTeYLNXqSFpauYjQF7C1NpS8V5vxCieWSzfamAqpS6ZUZWyjRmwwRt0yKVadugRYqDoWqUw9uSmVRozthsZkIy3LJxhOQiVnkKzZvTua5aXuKWEgHAYvFGrOFKlFTb/SryXUDrGG3r7keJy4V6omrrliXim3L0gzjTkZMppdLfPnYRaaWJMVOKmJyZqbAi6fn2duXpOZ4fPnYBKemcyj0y9OPv3NrqsItox2AIB4yia0Dc95INGQsqd6u63xiD5RL1NTojFnomqQDM/wEyuBxKxWHVEivV6WeyFZYLNpcyldX/a5Zgo9GepI8cnSgnkagtfz4tbPzTMyv0JEM8d3j0/XPVyo2mqrw2tl5PnXPTjRFYag7QTxi8Ll/eg3XE9y6u5tExMAy9O9rN7uCX65dNJRFs7hCuvosXcHU1LrSupouRSMWXe0xlvNlbMclGjHp70rykXv28fOfuJVMKnrN88f2ZBywufxQtSVOCpufp1tWTDP5Cpauct/OdhIhY1WwVVflIJY34AUTQlC2PWpN31dtj6gp63kEcPG2iEFbkxbelmwEptv8xMmO6LWDDhRFJujdeXiQOw4Nkl0ps5QrU6naOK4nExlNnVjEpD0RqVsX13MzSEcMhjvkacXQFN6dKbK9LYKlK/QmQ/Qk5dx1PZOFlRrFqkMy1CDC1FWFPd3xRrzND6YmwwaaKmN8bRFzTd0qXVNIRwxmTK3OZxiI7QouLJbZkYnSl2qM/fXotwL0p0P1XJ/2qCH7VXMbFqOQVvfe7lhjwQYxTD/hN1eRkNQA5VmsutieYF8mStEH08h7NRaHWO/fLZ9v1McdPXF6/VNlJmHx2Ud2UajY3LGnk1hIJxYy+Mz9sqZVNGTwCx/YxXy+yu27MrTHLT52ywBxv5Kyqir8xN3DjM8XURXqn29q/NZpn/A3MdWP6W71Le3KROvzyNJV7tvRxlLJJmZpdMelkpJzUbqgClWHkfZIndfynpE0pqZwY3+SsKGSsHSa85GDv3alI5eNa4zPFXBcj9/959fX5AiGLB1NU+tGx+6+NH/82Xv43D++xr/53W8z3J3gk3fv5NP3jtKVCn/futoNTaHqepRtuYnLE68CCMKGVi8LZPon4WLVxdTVerwuMNCC/dfxpIu7P9UIo9x5aJAnP/+zks3D9bBMnUwqSlsyct3GZTJbYTpf5c6hBg/e9y4ss7crxsXpZXRNpT8Tpzu9OQ6+LSsmTVV8NMqcRZQOAAAgAElEQVTa78q2S9X11rhYmsV2JU1L1VdQjk9sWHNE3Xf+fksQPG5LRFYV+nsfnkzYbNTYCRsajk+JJIQM8E9mK3V3ULHmrjkFJHwQyPVcgDXXw3Y90leFptvc8SQAZExnq3Vi01LNbeE9kIpV2aBfOzNRzi2UmM5VUBUYzcSIWdKqPz5TwNRUIv64Op50mS4Wa2iKrPU13B7B8QTnl2QV5IrjUaq5DLVFNrSyw6ZOuMkw6W1bO0+GOhsAko5EiI4mpF+mxa1kGRqj14kh3/UE//mp8xzuS3D/ro4tB5pajZeIqV22EGdzPbTexFq3dqsnLWiVqlw+zUJXVXRN5c//5wfY13yU9yVqGXUXvqoqPHJ0gNv2dPPSqVn+8dmz/N4/v87XXrrAX/7KA/Rn1pbgaZaas3ZNvR+iqgqJpvFrjLNCyFBWuWnXy5l9Y7pAJiqBJyDRnM+eW+KHDnRhhuW1lqkz2HNl4tStStl2yVcc8hWHXEXG6GQMssqO9gjHx5dwPYnEfM8VU38qjK4qfPWdWT64N+Mf5aVP/0tvzZAI6asCYa0S8ZFGIUPFE6Broj7JWnNJHNfjxbfGefGdcVRF4dE797BrsJPlQpmvPH2c+ewKtx8c5JYDA5QrNl/8ztv80P0HiEUsvvbcCYa3tbNnqJMnjp0hHQ/z2rtT1GoOP/7oUZKxEGcuLvD4i6epVG2O7u3jnhtGUBQ4PT7PY8+/i6FpfPjeffRdReGsq5OGEpLxFfzNWMIx354qsL09TG9nCIHgtYm1NXfei3bJjUO5TLkFZdViDuDLm5GS7fLOdIGRjihdCQvPE7xycS356EbdUhS5oA9uS/jUTtRZQw70JupMIQJRdxENtUUY9BVJABhQVYWR9ijDPmorGPd/jaKqCneOtNGd/O8j0XtXXwpNVZhaWOGhI/1XnOOKopCMWjx8wwD3HtzG1168wM//0VM88foE/8NDkknb8ONU1VpTzEsILswWrrksjaL47B/XWcHVHI8TsysslGx6Exa7MnKunpxb4Xvnl+mKW5yeNzjUGydiaAjg9EKJXNkhEzPY1x1HU6RB+/alFUq2y2gmQp/vgTo5VyRmaVxcriAE3DSQwNJUZgo1Ts8XcTzBYFuY4bb1T55nF0o8O7bMYqnG6QVZKFFTFIbawvQkLEb70pybzjK6LbXpPm9ZMSXDOj9x0zb+7PkJnjqzSKnmcn6xxBOnFzA0lZ+/Y4C4tb6VJXMRlDXQZdeT+RhGE7ODEIJnXz3Hn335JX76Y7cgBFiWge24fO6/PkUmHePGPf382ZdeQtNUhre18fXnTvLBO3YTi1g89/p5FGD3YCfPvTbG9EKeH/3ADWiq5O6q1Bz+4188wQ/cvY+OVLRuxc0sFvjNP/kWP/bBG1jKlfjNz3+LP/7Vj102X0kIwWLJJle26YiazBSqxCydkK5ScTyqjmSRDukq2bJDb8KSp0oBiys2A2lJyTSbr/roQ5VKzcXxPFJhA1NXWC45FKtXLt/cLJrv1gugxhLWv3EfAgnpKnFLZ3ypzGinLMpouwLdf3eWrlKsuVQcD0NTmc1XcZoqx66XfBd85vhw51RYx9AUlio2pZp7VfV+FEVBV9Z2RlNoAsM0vjP1tZ1WNvj8X5tkSzYz+SqpiEGyJVYlhAQOzeardVdQR8wk6p8mAzqZmXwV2/WIGBqdcQtTV3Fcj4nlCt1JWWcHZOyv6nj0JKz69QvFGtmSXa/Fsx6tVr09m+zTDTsyHB7u4PNfe4fDwxn2D7ajaQqFUo3JhSIDmRjxiIkQgsmFIp7n0dseRddUNFUlGjbqfwc5X7Z1SLfwd96c5IYdGQxd5dylHP/83XOr0HuXSxzdyN3bmYpQtV1OXFxie1dcoisFWwZmBc86NpFjuWyztyvG61N5aq7HwZ443XGLiKEx1BZmW9IiZsowSKHqsli0GW4P8+zYkjwkpMJ869QCXXGLnoTFt04t8tH9nbRFDE7NFbE9jyPbEvW8raor+NapBY72JbD0ywMt9nfHSIZ0pnJVbuxvnP41RWFppcLOniRdqTDzuXIdrXgl2bJiUhSFo/1J+j4U5rWJHOPLZYQQ9KfD3DiQpDt+eR639UQm161WZkIIvvXiKT758GHuu3FH/fPZJUlA+Re/eS/pRJip+RxPvHSan/nYrS13XT3B7jg0yH1+jReQxKzd7QlePn6RTz18mAM7elAUhWPvXMR1BZah056Kcmp8jrmlFQZ717oUmmWxWGOwLcJK1aHieBSqVTIxg0LFJRHSKddcFlZq6D7dUtTUQJEUTW9O5XFcyce3r0daOSFTJROzeHs6L2tQaapMZG4a2uCvwk+CCDYL8JE/hkS8Hb9UwNQUUhGD3X5p74nlCvMrErXnCXkaS4ZlvEtRYLQzyruzKxwbz9b92Hu6Y7RHTTrjJtO5Ci9fyGLoKmFD9d238vnTuSqz+Sr5ikyGfm0iR8zS2ZGJyrpaEZM3pvKE/LpagdsOGr7zf/0q4/2RieUy//LWDK9P5PjJW/r5SFMpd8cT/NVLk7x6MVun99rXE+dn79yOoSksl2z+03fGyJZlCkTZdvnU0V7u35UhX3H47W+c4t8/vIM93dId9tjxOS4slvi1D+xECMHjJ+f56lszGJos6XG4L8lnbuuvs2u0ymbfaSpm8bmfvoNf/C/P8EO/8w1GepPomkq2UCFXqvGl33iU3X6s+SsvjvGHX36Toe4EHYkwKxWbd84vcnConYduaFRpPrqjk/sO9fGHX36T7x2/RDSkMzaTZ+9AG+cuNTwRnid47JWLvDO+yHKhwuTCCrlijd/665dIxSwOD3fw8NHVxfTuPtDLSE+SX/r8s9zw7YwPJU/zWz9+85Y9Go4nOD1f5Af2Zsj4OZ4vXcyxvztOR9QkYqp0RA16fXdxqeYSNlRu7E/QHjE454OaEpbOpXyVHR0RVP9kN52r1mP4Ozui7GiPrHpu3NIYXy5zZFvisvu5osg4eCZmrjpseELw9WMXaIuFyJdq9LZHV+WOXU6uOcG2O2HxoX1X5pbbqnj+sTvqn1SayRM9ITD8yR+2dMpVm4DLQQg/ga0JYKH6bNvNA2waGr/2Uw/wxEtn+E9/+xyHRnv4dz96N8VKjXLV5vTFeRRF4TMfvonEJuq7tEdNJnMVwn6AMhXSqDjSSlV9d1NfKkSh6q6KwXXETHoSFu9OLrF7oI2Qny2uKwr7e+PyNIGEBrt+gBvkIh/tiuG4Lv/07Gl++J5RmeMzm6e3XZaFUBWFXV0xBtokfX5zbllHzOTC9DKGonBwWNLd637g3HE9vvisrAb7yft2+2VH1LrfWwHGzs/y6G0jfsFHlZoj6rDe5VyRkc7V8RNNVVAVCQk+2BenXJPvJ2yo2J4sa7JUqPDiiUvcd8N2NFXh7FSWHdtS37cB7GZpNggkY4G3LnIzYCEIgAqtVrjnCZ+VWt2Ua/HAtgS7u2P8+lffpdUYK9VcnjmzwC/cM8SRviRl28Xxxxrg3HyR6VyF3/nB3bRFTfJle1VMqfXw0Oyumlgq84VXp/jFe4fZ1xNnJl/hN792igPb4tw5sn79NUVRePjoABG/+OdGoigKN4528qXfeJRvvTLOm+cXqDkefft7uWNfD0Pdjbn18Tt3ELEMjo8vUijZdKXCfOLOER45OrDKSo+GdP74s/fw5RfGeHNsgZCp85mH93B4JEMmGabHd/V6AsZmcpydku7lh28YAGA+V2Y+Vya5Duhqe2ecv/vVR/ji984xMV8gFjK5afTa9sYAZBIgaXWfKUPOl/XHzvCrNQSM9QJ5D8cTLBZtdE1hV2eUrrjsg6rKfaV5jhqawof2ZDg5W+SJM4sMtYW5cyi9IaOIriroLYeK+ZUaH7x5iLChki/WLsv0v+Z+m/5li1Qdj7lCle6EtSGbwPUQTVXYN9zF06+e48a9kjJDU1VS8TAdqSivvzvFgR3dvHx8kiO7txG2TGzHZWo+R812OH5uhvtvapy0WofVdT0KxSoP3ryT/u4Uv//Xz1Cu1Di4o4evRI7z0Xv3E4+GKFVqVyw8FrALBEjBLk9IKyUVpeZ6aEqj/EE6bEiAQ9OiPzu1zO9/4WUevGE7j94yTKFc49i7M+zqT7O7v41j786QXaky3JMkHjEZn8szu1TkoaPbOTWxTMlPDhyfzfO//d1L3DjaxQduGkJTFb73zhRDPUkOj3Ry7NQMK2WbVNRkz/Z2zkwscse+bSRCOsfHF3l7bIE9A20cGslw94E+vv3qBWLWWibtN8/NUbMd4iGdc1NZzk5nKZRr3He4nzfOzvPXT5zgB28d5gdvG+HE+CJnprLcsqcHEQ/x1JsTzCwVuXlXN4oC2WKVQrHGg0e38/yJaXRVnsBePjXLH37xVT50yzB37t/GUqHM4ZFOXj41w56BduJXMdnfaxFC8NbYPAeGM75iF3zpudN87K7RdZnVn3p9nD3bO+jLxFkuVCiUawx0JlAUhbNTyyzkStzmF1e7FgkbGkf6kvztsUmmshVuHUzTlWhYwANtEWKWzp88N869o+0c6U9eFuzQLKfmVihUXN6azHHyUgGBBDadmiluqJh0TeV/+dTaMjHriaIo9LZH+cwjey/7m+50hM88vH65mNbfdiTD/PQH9q357vd+9s763w1d5Zc+cmhTbWy+9+7+NL/26c31bTOiqQrdcYuxpRJ7u2JcWCrXGU4AQrpGruxQcdxVaSCtkgjLlIuh9gg9cZOaK+ppOrDOvugJqo7H3q4oybDO8xeWuXUgtcbtXTewfA7TZnl7psBgKsw3XjqPZWjs6ktzw44Mm5EtK6aLS2U+951z/IeHdzKwBZK+zYqiKHzy4UP80d9/j3/7u/9C1DL4sQ/ewF1HhvjFT9/Fn37xBZyvu4wOZHjw1l3EIiaffuQIn/uvT9GRirF7sJNYWAaDQ2ELRdfrIAOAmu3yh//tORayMuv8048cJhq22D3UxSceOMRv/+njgMLe4U4++8k71pB2lm23frpplYrjcW6xRMzSeHUiz77uGIvFGjOFGhFTxfHEKhj29s442zrifPDmISIhnT/60uvcvKebv3r8BL/40cP8w9On+HcfO0ImFeHlUzO8fX6BH75nlIhlMNKb4qsvjiGArnSUvo44Dx8dpCsd4ff/6VUevWWIJ1+fIBGx+MIzp/iZDx2kKx0hFjZIxUJMLhTY1Z/GMjS62yL87XdOsn/o8gXDRnpTfOWFMRDwzoUFxucK7NvezjePXeCeQ/0Mdyd56Oh2FvMV/vnZM9yxv5f/++tvceueHhCCfLGGrqk8+fo4wz0pbtjZialr7OxN881XLvCBmwYZ6U3Sl5FjoqkK//D0uwx0Jnj6zUkODW9ukl8vEUJw/MICL56YZqgnyb2HBnj51CXePDfHweFOdE3l//z7F3nghkE+fvcuLs7lubQkg8GvnZ6hPRkmk4zwvXcm2T3Qzhtn59g/lKFUsfmTr73BpYUVHr1thDsP9PPMmxc5MJwBBOcv5Xj6jYv0ZeLcc2iAZ968yPhsnjv297Fn+5WrQhuaws/fPcgbkzmePr3IN96Z5cMHu3l0fxeaqtAZN/mND43y/Ngyjx2f4x9fm+az9wyxr2ctkk1uRME/GtV3VbVBh/To/s662+96jXvNlSe8a4nXXGsbgrycqz25B9dWHM9Hz27+elWBO4fSfOfsIi9dzNEdN3lotKPehqN9CZ4ZW+bcYom7htMkLF0+Qw24FSWYzNJUHtjZxgvjORxPxhEf2NlO1NSImfqaw4Xtenzn7CIVWyb9Hu1Lrpu8XbI9nju/xL6uON84Ob/qN5fyVSansswsFelMRa4KXLJlxVTwrfNE+NoyhjcSIQTFmivRVYbBZ3/kbpZLNXoTFifnS8wUasTakvz8TzzItqRF2NSZL9okBdx/+17uuGmUjqjpu1Gg7HjsO7qHXZkohaosc50I6ZRcwS9/5kEM/zdhU6fmeuQqDo/ctZf7b9uF5wkMXaVQ8yg7MsC7UnUwNJWTsyvs646hq8oqn7oQMsej6sgchfaoQTKs89Z0gbLtoqk6UVPH82TBRZn4qhAyNdIxC9v1mFosUKp0cP+RASxDp6ctysi2tESbCTgw1MGA7yoLW3o918M0VMKWTjJmSWRfzWFXfxsnxheZy5ZIRS329Leh++jHqA9XdVzBvzx/jqHuBCtl+7IBYEVRCJmNZ2qqyqHhDNu74pyeXCbqFzhLRi1mlkssrUi4+wNHBkjHQ/zD06cY6k7Q3xmXbr3hDNs64n57jDr0PeyXMk/FLBSgL5Pg26+Os6s/jbmFjH4JBJBpDobGVW0SAImIxUhvii9/9wwjvWkeOzbGL3zkBixDjsWu/nZ+8uH9hEydaMjga8+f9eePxjNvTnBopJO5bIn7j2wnFjbIFat0t0W5abSHlYEa9x/Zjq6p7N7ezuR8gZv3wF8+9jYHhjN8/cVzdCQjPPXGRX74nt30tm+e1zCkq9w6mOam7WmeOb3A3xyb5IFdHfWTUTpi8Oj+Th7c3cF/efYCX3lrhr098foGWKq69Typyays8YUC21IhLF3lkT2ddMbfu9PrZLZMd9xal1Ek2CsipnZdyGuFgKrryirb9XwhGFsqszsT3RJqs2S7vDyR4/bBNPGrKPynKAqpsM6H9mR4ZSJHJmYSazrN9qdC/MgRaejV/PJBH90vCbOrrjR8RztkAm1fMsTHD4Tqhnmg4+8daVvTJ0tX+ci+LrkH+DHw9RRySFe5qS/JYslmW9LiyLaGe/WlizkGEyYfONjjly3avGftmlB5EqXlXTM310ZyYnaFS/kq3XGLgXSY+ZLD9vYo2bJDe1TmPjkCTi2U2d8dYyJbpitm8vpUnkRIl4lkpu6zTEhffyZucXx2hUzUIGpqTOWqXFgu05OwWCrZ9TIcNddDVxQMXaFUlbD2iKlhux7tEZNcxWE0E6HseLw2lefotrW5KIoCuzujxEyNeIdUPgd74yiKfPEXl8soioxLgWQoTkRMvvbiGPcc6ueGnV3YrkdCU4lYer1scXDvwD/vuB5vnpvn4lye18/McXC4g85UhMeOnefBGwYY7E7yD0+fYmphhXsO9vPUGxP1s/vscpF3LiyiqQq7+tvIrVRxHMm0XKw4vHZ2lrPTWc5OZRnpbcDlHdfjrTH5zNfOzNbh2QpywodDOqWKzZOvX+TIjk4/j0QQsXTKVUcWMSxUOTct+bqCvpQqNq+emeXcdI7Tk8sMdScwdZVvvHSe+w/3c9ueHv73vz/Gb/7kbVuOOdkudUj+ZjxWAajEE/DfvnOCg8MZXM+jUKqRjFhkUjIuUbVdmQxpaCiKrBQb9Gu0P803Xx7je+9M8shNQ6g+KlS+S8lALXniVAIGbflswVKhTCSk80N3jTLcm+LHHtzLN14c48Bwhg/cPIzrCS4sllgq2WRLNuNLZd6YzEkEVjLETL7KF16bZqQjiqmrvHh+iW2pUP35L55f5s2pPMMdEaq2x+m5Fe7dKU/LUVNjtDPK37w8yfxKjalshXPzRYZ99vR9PXF2d8X43BNnuX1YBrYvLJb44SO99F8nT8pKzUXXVB/qLVgu237um0KXT5v0ymSOHR0RepMhLE1lbkUmVnfGJI/iSk1ya0rEIpKyyvFkwF5VmS/WsF2PzpiFEII3pvMYPqVSR9RkbqVKW9gAHziQrzrkyg7tUQNL18iWbcq2jBunwwb5qkO27JAI6aRC0o22kUISQlCyXWqObGdHVIII5laqkmQ4ahI2NPpSklFHURQ/NaeGADpjJlXH49XJHG0Rg23JEOmwwUKxVifFDsatWHPrIIrlqkPZlqCsREvbgpp5V4KqaKpCe9TE1FVJS9QUe9uVccjmSjxzYYGVco3B7kSdTPdKov3Wb/3W5b7f8Mu4pTNTqDG5XGHYR3rIPJbGHzbQspuVWZ/3TVEVwobGZK5CXzJEyXYlpb0qB6NYk+i2C8sV2qMGNVfQHjExNIWYzxKuqwrZss1QW4SFks1wuyQtPTm7gu16tEUMQkHmtQIqCoNtYWYLEkGXiZlUHA/h9z0R0umOW0znK4R0mYAYbcpiDzaXZFjW+DF9F0DMklx/IUOjLWKQ8BUOSOt97/Z2wpZOJhnm0EiGaMigtyNGeyLMnoF2omEJBe5MRejLxCULM3Li3TjaRTJqkYpZ7OpvIxY2aE/I+yQiFnfu30YmFWHv9jbifhVN1xP0pKOM9KbIJMMcHe2iPRnmAzcNEgsbhEydQyMZ0nGLaAsM2fP8Z8Ysdg+00dcRJx2z2NmXJhEx2TfYTiRk0NMW5eBQhpCl09se54lXx/nhe3cRDRlMzBf48G0jtCdCaKrMaTN1jSM7MqRiIRIRk/2DGcKmRjIWYiFfplixue/wwJbnlufTFOmbPjEJAm7P59+ZBGBiLs9H7xjltTOznJ5colxz6e9McPz8Auems/R3xnnz7DzfeX2cWMRisCvJ1MIKk3N5PnTrCOemszx27DyVmsNgt0SbffuVC4RMDdPQ+Oax84xNZxnqSWIZOtOLKwgB27uSvHRyGsf1CFs6uwfasV2Pb787z/HpAsmwjiukq13XVIbaI2iqRN6dWygyk6+yMxPl0zf21dM5dE1l0qeeylcc7h/N8NCeDIamoqkKe3viVGyXsYUSA21hHtidIR7SGe2MoqsKR/qTWLrG2fkiubLDrq4Ye3vi1y327AnB8ZkV0mGdsKHxzNgypqYyU6ii+4Sn49ky/akwMVPn/FKZpZJNruJQ8jkMX5rIkolavkFYYTJfQVEULuWrdMZM5ldq5CoOi8UanTGLqXyViKHSFjElP50reHumwPZ0hIrt8vp0gZilc2q+SDKk89z5JTJRi3fni3THrXrtr1PzK/QmZVXqyVyFrri1bs2v8eUK55aKpEIGEUNjbLFEruKwXLKpOR7psEG2IsvJd0RNaq7HYslmvlijbLukwgYT2QrpiEkybGBqKsWqy5n5Iv3pMNmyw4nZFUK6xtnFElFT48WLWdoiJqfmi/T5bdyqWLq6Ji6ZiRpk4iEsQ2Pv9nZiIbNOuuvLb290vy1XsJ3JV3nsxBzPnlsibun0JtfWRProwW7J97YFCSjhpYXS8DNHTA1PyGRe07cugwTQquOtytORyquRD1VzZYXcIBdHQSadKQoYPmEq/rUBYWJQTkBXFaqOh6pQX3DBZ5oaVNx970Ag/72IEIKxSzleODFN2NK5/7B07W1GlvIVvv3aBe460EdP29b4vYLTT4Bp2sw9PCEo29L1V6vZrJRrhEydRNSiUnXIrlSIRUziYZNy1SFbrJJJhskXa5RrDoau0pEMU7NdqrZLMmpRKNfIF2uoCrQnIxiaymJeKpOwpbOUL8ty3TELy9BZzJfQVJV0PMRyQZZA70hurlx91fGYyldQgb5kiFxFbpo1V7qzs2Ub069x1BYxfCYNiR7Vm2KqjusxtyJzmNIRybowW6gSMSVVUb7iMF+sErd0OiIm0/kKnpBUYteipIQQvDKZY6Q9Qjps8MzYEjf3p5jOV1AUmTj9zLkl7hhKY6gqT5+THgBLl1DqVMjg3GKJm/rlif/4jFQqbRGDty4V2N0Z5exCCQXJdnLHYJrjsyukwjp9PqLPcT2+e2GZO4faJGNJrsLhbQleuJBluD3M2YUSdwyleXE8y57OGGNLJXRVYSJb5t6RdiKmxovjWQ70xNecnIQQnF2UXIs7O6IIAU+cWSBsyNzBrrjFYDrMheUyVcdjd2eM6XyFyWylXonhhm0JXp6Qp8aArq1Yc3ljKsdtg2nOL5WwXcGOjijfPb/EaEeUyVyFo31JvndhmVsGUvX9bqZQrdO/2a5khr/SPu54gop/Yqz5nIltEYNkSOP8TJ6pxSKj21L0tK26z4aLb8uuvJWqIxFnfoNdAa67Wo95l1d6lxVFUdYgQEJ1KjFllRIIECqXqz4qmXzl75rv24o2C6S+kJrWvb6O3+dKFU//f1ktiqIw0ptipHfzWeCBtCVCfOre3df4fJBl9zYnEmrrX4ssk9JcnTQSMog0Juaqf7e3JBOGLZWwJb9LRCwSLaz0gUsQoLdjNXiguy227u82I4oCUUNjOl8hYmrMr0hi3EzM5FK+iu15LJdtdFWSKJdtj23JEK1plbYnOL9c4kB3nJCuYXvSUzG+XCZu6ZxdKLIzE8VQVabzFQp+IvjFbJmRTbpwWiWIH5VqLrmKQ9zSV1MZicbuNluo0hmz6IpbVB2XjqhJIqTjuGL1yVhpyskWkC07aApYukbNf9mWpjK/UiNu6cRMnazPsJ6v2ERNjULN4eJyBdcnlQ5ctooiN+nlsl3f/AWwUnUp27JOmFQ4a/eN5jZ2xy08IfzN3aDqeOQrDrYnKNsygTZsaPWyJyCZ62cKVQxNIlpzFZuS7VGoOqRCBifnVjA1FcMvLdLqLRBCML5U5lK+Qm/CYmyxxLn5ErmKTVvE4J3pAh0xk8G2MK/6OYmHtyVQVYX5lRrPX1jmI/u7ePLMItN5Sbj9iQNdPPnGJPGw5FNtUUwbypYV00hHhH//4Mhlf3M1J8MAr+8I6fdXkCXYA10ns/k3tnKFEPVNpF60EHmNKi9atcyCk6IQ8hmBe0dR5B9Nlde3XhdcE1jdzc/zHyNLwa/jxrzaNl6LrHmW3ze16c/a9sl+ef6YBHaFooDuj/31GA9PCGquz7qgrW2HPBHLv7d+73oC2wPDH7OAr9Frep6url7kQuBzDzY9RJH32Mh94fnos2Y+SNtjDT2ToVEnTHU8gePKvBBD3XieBmw4WwFfXK0IIZgrVFmpyQRqxw+utUUMoqaOqtaI6ZLN3RWSwd5xK4wtldjXFcNqyU2Jmlrd4j+7WCakS3RpzZUusyBWUazJnLm4pZO8CnLa9aRkyyrWnv8e93bFMDWV7nhDsR/ZliDrA3Z2ZaLMFmThS1NTCekKI03Jo/3JsGQvURV2d0ZJhHYGPVkAACAASURBVHSZ+6MpdZTs9rYwMz6Tiecrx5GOCMWay7akwaGeBMtlmyPbEoR1VYIigNGOKPGQzqGeBGXb5eb+FCFdZbFYYyAdrhd4bLVne5r6oijUqynYrqgTvQZ5jxXbY2cmwkyhRqduEvZzkHZnoswUqrg+z2bV8RhsC1OsufTELXZ3xlipOhzpTaCpCiPtMrdyb1esbtx3JyzevpSXhVinC9y8PcUL55c5Np4lX3ZYKtVoj5qUay7nFkrs6YoRNjVKtluvoXdxucyPH+3l8dOLFGoud+3v3TTjQyDXxPxwnUq/1CXYBFxFKqXmPcAFFBcsXW7mzeu5XkLDXZ0M6CI3E10FU1uL0HA8qLWy+/jX267cFHV1PWSHwPHkb9Y7EzrI012rIlzvmqCNhgbGus+6egme1dw3hdVjY+myynDjGtkv22/jmj65so3XZTz896zAqhNps9SVSMv3wr9W85XSes8MFG+rBL/zhPzH5ZiI3KZxqN9fSAW4kaiKb+S4TYq8te1CzrtmS/e9FtsT/lg1s2k0/hsYe4oQFKtOPeHX8QStrHvNirTmSqSV6wksTZZzD9IjMjGLqVzZd3FvvaeKotAZs+iMNVoSCtCkPsuIokAqbJBqUoC9ydXu4WbPRjNpahCsb+X1NDVl1WetJcJbnxfcpz0qKZI6ogbQ+L4rbtG9wdoOYs/NoqvKqmoKYUMjYRk0z/bBljaFDK3OBQnSxdkszTmW0BiT4DMhBDP5CvOFGrmyTchQOb9YwhOCTFRSWA2kw8wVqr4BqNRbE7c0LuWrPH5qgV2d0TpQzPMEi/kKr56Z48adnZtWUFuOMV1vEf7C8Qm00RS5ESpKYPE2FrSlNxZIEH+qOLKxcvNs3LPmI7CkcmpYsULgW5D4TASNHtv+sxTkhrra+l696Uuru9HOQJnq6upnuUIG0INTQnCS9/w2ChEowmsDjMh7Cip+wdjmZwlkVUlPrLXWm/ulKsH38ju3SemE9NWs0FsZD88TlP2xCBvrn5iC9rd+77iCqt9G4b/X1uetN4aNaS7fgyvA0jausNn8+5or54M0HqBVpTSPRdWV4yXfpbLGgFr9/ep2SqYIUS/L7XqeRDleY+6O6wkKVcd34yh1Bg9NlehTBTnm8gSvULJdTN8dtArsIiRDdJDLU3M8yn5iZ8BIElRbDesqJZ9hImrqdYv8StK8HW20DDx/Lck94vIM5e+3BHleTrPHATl3rjUHK7i37c+f653TJYQgW3Yo1Vy/ogDkKw4hXSVqaSyu2BLkYGksFWtYukYyLF2rnhCcmF0hV3a4oS+Bqam8PJFjdybK3z35Ltu7JDDq9tVl6zfswJYVk+cJKlWbSHht7oIQgnLVJmxtvlxCs2LaSCFUnABk0Fj0gWukeeNoRY6VfURVeM09/UFoaWLzs0L66gkQbJqCjRVJ632b72fpPqlq03eugKojN9uQfu2KyfXk8za633r9blYG1jrKx3blgtBUuaE3u+Wudjyuh2LiMs8L2ixBMGvdqZtRTM1tr7lS+a6nbFrlcmPf3C9DFRTKNmFTQ9dUCmVJp/XU25e4/2AviYjBhdkV0jGLRMTwfytTHwxdxXGFn6oh0DW1DlW3DI1i1SEW0qn4eYDRkMGx03PsG0iTiprXPL/eSxFC7gG6woYKORhjaWx+/yim5rWsIA3CwFNxvRRTsNdtZu6+3xJ4rlwh0Jv2j7PTOYoVm5HeJPHV+mLDDmwd/FCu8vePvcqH7tpHT0eClXKVQrFKIhpC11Vef3eSWw8OUipVWS6UiYZkBdjZpQKVqk1/d3pDRNFGbg5NlW6S1tIKgdtnvU0qiKt4Qp4Wml3ml5vQwVe+16f+73psSNl4U2z9yPMteQX8RLXm3yqoiDoTsSe4Zhep4o+fJwJXpkChMVHW67fnyX414kGr26ipcsPwPBDatY3H9RAF+TwBLPiw4UTIYLFYw9JVChVZjv7gNpkH9X6J2jzfmt5lYO0Kv92Fss23Xp/E9QTd6TC247GzN8nZS3kKZZv7Dvby2rlFDg+3cWJimbfHl8kkQyBgsCtOqerw9vgSwoO2uMWl5RKxkEEqarK0UmUgE+XMdJ62mMWNOzt45p0ZQobG0R2XZ/P4/1oE0m2s+i77f20SUHNK4+7639/QGvH27ycRQnAxW+GFC1mKNZeopXH79hTdcZNjp2ZpT4RkdfLRrk3db8uKSQjBxEyWZ189y56hLt4+c4l0MsLRPf2ELIPnXj3Hzfu38/gL71Iq1yhVbO6/ZZTnXx9jbGqRX/6J+0jG1/c3rv9CFVRFaiTPj4fg1wMK9FTNCT5fLYEia40PBKfFYBMJftfsgtroXrKNV+eeEODnw6y9uWj5/7VI4DqwXfnHcUFThQ8K8H+z5pTS+P96bdyofVsZj+shQfMdV/DOdJ7xxTK3DKWZyVfY1SWpny4sFNnTHXtfFRNIxRNYtqrSoL9ymgyoczN5lldqVB2XeNigJx2RMYKuOL3pCKWKg0AwvVSiWJHAhb52yTrwnbem+dSdwzz/7ixDnXEMXaWvPSpJOgtVDE2hPR4in7IZ6oqDgO2dsXWJR0V9LbXK+ieR9X+/1mW56tt1Tq3N3zXfMzCQ1rvPRuCgtV6faz9FbXZc1vxuAy9M89pY2//LP2fV79m8UtpyHzb43eUkV3H49ukFbhlIkQzrLJdsvnVqgY8fkLRXC/kK27s2T1N1TXxCHakouwY7WcyVsEydm/YN0NUex3E9EtEQrifZFm49OMj33jiPrqrMLOa55cB2YpErFTNbx4+/ztg1f7SRMlFa/g8NC7bmyRej0JhMl30Xm/CBX682blVk3pVAUwIkWSNGF8TuVMSqDaNZ8Vy2ja0N3MJ4XA8JnrVcqjGdrVBxXJqXb1fc4sJi6f3UlX675OlS8WNJQkOCJvw/wYlqT3+KRMQkETZIRAwmFopELJ0HDvbWk7EVRVa47UqF2bGQIB23iIekEuvviPIT9+6gXHNJx0w/1irJR2eXS2SSYXb0JLAMTfLhpcIU/eqigQQs4QHQKPAMyJirQG3eHOUFPjKuYWzJk7Ko9z2QgF3D1Ne+Atv1Xan17/zTuO/VAGlkNs8nXV2/gmvg+gs8Eqoii44itu4SD8YloK4KxkXx+6qu6quoo4ebDdpq01CrylqGkaojFYyuivr6FPVngKY0/DSi5X7gx5g26F6gaOrtF417B+8rUPEb9bUxBzY3joslm+64xf7uGIqi0J8McW6xTKHm0t8ZZ2K+QNdVpDlsWTGZhs62riTnpxZ54JZdjE0uEAlJ//X49BIocPzsJYa2tZOMh9k12MlKuUrINLh4aZmlfIlMen2uL1H/b7OVsX47mjf00BVQqc3DG6D4IAgkrkYrVZ3VzN/r3USIzW3GwU8C4MZm23gtEmxspiIQmlzwwQLynCDWtfa5urq2FPZl27iF8bhiJ0Xr299YOmIWD+3tRFcVkmGDTExm6kctnduG2y7LuPxeSWDVOr5RoKuNuaT54IlYyGDXtmT9mt19a/O6mj8bbfrtQEaum20b5Aal1jkZRSydjibWrMAAqToNF25g+wUb/aq52gRyCTau4LeOJxWQ1mTseLD++ml6dvCSBQ3jMGjEWnfy2vt4Air+Glab2u4IP763/uM3JTVfeapN4xIoEKulr82Kq1kJ1PemloYE/VeE/xyvOf4qx05rDjngu61FU2rLZVvfiEVBw0sS3LvVgVB1G0ZT8xwI+tpqxK4nyZBkAhpbKpMO6ywWbZZKNmFd5cJsnqGuBG+OLXD3gd41RNjryZYVU9gy+MRDR+r/Prp3oP73HQMZdgysZn7ubIvz9plp0okInvAuGwhcXwmJujXV7DZSmgZTiEZOyZWkeaNYDx210Yuvv+T68ffKTwuuaViZ76fLS46HokoLKJiwjrfaJaCqQJPluVlrcyvj0SytVwhxeUh2q0h27MbpO9P09+bPr4dcfjNoFnlibR7nehxUWX+Tfd9FNKz0kN68pvxaSy3tDNCjgXGlNH1edeQJpzVFYrMik+llm2xXYAt5OmrdI1rv3Yy2DaR5fhvqlTfUjcTQJNi7uQmBYnZc0IKdU1EahpwQVH3l0Zp/t14rAg9GczwqmGOrrvWfIXyN5l2mgLUEkTXmnamtfnawvpvFR92viunV++ptjk+yPWJw+2CKZ84tsVJ1SYZ17h1poy0iE2tPXFxCU1X29Jfp3kSS7XtDDb6B7BvpYaS/A1VVsIyNH92cENoszcm2zaMbWKeOJ08IrReuC0ENfMFN/w1+2xxvapXAqghcGvo6k78VhaYoss1BDst6C2YzMNnNynqlnxUFRFOcrrV7gYUaJNdq61hJ66H5tjQerDYmVq+UlkTY7wOpT5lNKl/FX+TBOw8SdVuBL9dDaq6H4e9qk7kKvYmr5zzzZ4vftrVxhcDdB34KR9NvVISkagos/y0cUFuW5JrPL3edoUFz7MnwDYKN1u+m2qOsn6Opq2JN3twqo2qd9l1JgrSNTYURNiHCdy0qNJRj8z1b+7VRXwN39GbHUVEU9nRG2dERwfap34IUgU/evaM+OJtNfdi0Ygo2u0t5WY73SlQ8xZqL7vNV5SoOyZCOolCnZLmcJSOQx0vDR6tBw2cd5Bw12yKGttr3rWti1WYSKLTmRL/ghOB64Pq+VKCeJ7CRBIuh5jZypDS18bxAqQULeFUbHT8faINr5L2vbWoKfAXoAx6aj+cBSg/WJpcqSKh9zZXWr+6fsAIJkp91ny2heSFd/Xg0jIlay3sODIzrJa2B3eZ1JhXj6pW3Lqqzea4oEtAQXLUeg0Ygmgqu2zTm6+RAXUmqjoftelQdj2TYoGy7VB2XRMjA9QTvzhXojodoi0g26ZCuEjY0on42fsX2SIZ0P04hawIlQzq6qqL776DqyE23GRyzWkGJVTGcNahS39hxBejvX+pjfW6vGtEW78RWpc4Ms869rlcPg5jP9TRWAldinSVnU9es7evV9tETgpOzK7x0MSc5Sw2V27enGM1EN+W6a5VNKybHE5yaL5Kr2ChKhIVijYihYekqy2WbvlSY8aUymgpDbREmsmV6EiHKtstrU3kO9SZYqTrkKw4D6fCqrOlWMdRmdFhDVEXi91epJX/XtbSGX9htuQ7WIlk0hVULM9i8g+ejrs+AEAALoHFkbt1I65ZcUxtV5JG9tsE1cOXYztWI5C5c/7sgCbZZgn4pyDbaGyjoNQptC+PRbEy0vufA0msOsF+rBG1qXXQ1H7WI0njuutZj81xpGdOQvv41wbgEhoiCn9dylZvQ3EqVXNmmIyYZBcq25FxbKNbYnpbWqXQNK5RtySk3lavU12Dc0lko1miLGExky/QmQnVvhOq3PxifINlcVwNAw2pPQjBOa/va9Jv3Ud4rl2iQjxS8u+aRuHpn9cbyXjS/bjCxOXd8c9LutfR1bqXGM2PL3L+jjYQluQWfOLNEewvbxGZl04qp6sj6RAlLr9f1MDWVtKmxXLap2JIbK2EaVBzJeFt1PNqjJu0+meKZhSIRQ6tTo1xOLN0P9DXFlbQN82R8BJPS2Oya3Ud1ihpl1UWYmpC5UU2ImCCPJ7Ae1nu3ddSb2mBSCF6isuZE17hGbgSiHsC0XcGZ+SKjmSiWLusYLZdrnJwtEjE1DvbEr9otoyD7ENIb47Be2zYaR02FkOpTPDmCty/JwoaHeuOkwnr9PhuNh+MKP2isrHqm7QrOLRbZ2SGZtBUUORZN49d6Gl5vowtQS1czLOu+/w3Gbt3PN5grKldqh0ToBf7+rTAhCgEdMZPuuMwDWS7LbOZSzcXyT0ftPtN3xNDoTYYoOy65ik2uYqOrsu6TANIRk654o6R64MZRFemOC5RTcPI1tcAtq6AoYs3Gtdnxa+3P9dVf13d7DzbqgF0kyBsKHhMkSH+/SrNSuRIYqZXtxQxyx3wrvbKOgb+RVGyP/lSIXRnJ+t+TEJyaK/p1s65eNq2YIoasOeQKlUzUlCcmPyoWMbU627CqQMzUyJXtOt1JOmxQqrnsysgifzFrM0cDRbo+ruIUGCy0zd0dUBR5AljnGQqXR9AFvlv1Kk45gQ+/ceoQdQs1UEAhXZPF3MZz7O2KbSlb/GrGYb02BsX+FB264yZfPznPUHuYtsjGp9xgPM4uFrFdwcGeWIvy8wlEW67ZqGrDRqdHTVU2lcfheqLuZtOUK18TZK3LjUm66ppLNSiXmSuXuWsLJdPVXNuQACxju/LE1B2zWKk6vhGikKvIgnTN97d0jUTIoDsRQlflaWqjqRS8O8M/KVWdBpNKcImCBKW0xgSbIdLr3n+dGOL7fbK6Wgn2UrMl/nMFlpzvC6mj+zYZD21OCG6OHXqIqzoxpcM6l3JVnj63RCIk85imchUmcxZzK7LyeNdVgJE2rZhUtUFqKGld5EJoi5i0RUxcT7ArE6u76DIxi5LtoCqrCRCDWiHfLyKAQsXh1ckc2bJDOizRJbqmcH6pzPGZFSxd5ab+JOmwzthSmWLV5WCvLJ727NgyD+xs59RckYrjMbsi2X1v3Z6iPWIggPOLZU7MruAK2NcVZWcmSq5i892xLK4Q7Mw08P0RU2N7KsQbU4Urt10I3pmRVPYT2QpVx+PukTQxU2OhKKt6Oq7g0LY4/T4h5PhyheMzKzieYDQTYXdnFAGcmS9xal6eaG8aSJKwZP5Lfyq0ypAQQvDWpQLJkMFgW5ilks1blwrcPZzm5GyRJ88uYqgqF5bKHOqNM9gWZrFU4/nzWVRVYVdTXZd8xeHYRI5SzWU0E2E0E6XqeLwykcfQZBG3/lSII9sSV6WgHU/wxlSe7rhFd8Ly4zIebWGDquuRLTtETY2wId3QcUtHCHhzOs/uzli9YNxQe4RUWKdQdXFcWYOoVHMp2x7xkDTGNn43DWjvRqSyG71T12vQzbT5pyGAkKHSGw9Rc1yGfLbsbQmLQk3WwelPhdFUhZ54iIgp3exByYOoqWE2NSJAnjafngO3+NrTvkTJuc7qpOEgfuf47k2tbm5LUISLHANFNH7vissH1JvdgkEJ8PdbguY1eweC08X1dOW9F6LQQIG2gpGuBLBq7evViOMJOmImy2VZuVcgiXQv5WUl4ZipXV/FVLZd5gpVopaO5wniIZ1SzSWkq+SrDrbrcSlfRVVWM/qGdJVsWfZutlClbLtEDI2a52GoKqmwjrWJImfvtTiux1dPzNGTsLixP4nteqiKwmyhxrdPL/LQznZyFYevHp/j00d6WFipsViyOdgbx/EkceF9O9qYylc4OVvk0b0ZLiyVefzUIj9ypJupXJXHTy9w/472VVUeY6bO4W1xvvzOHLYr2GplgIvZCjOFKveOtKEpsk5VxfH4yvE5jvZJOp6vHp/nx4/2YGoq3zy1wD3DaUKGVo+NTGQrPHNuiYdG25lbqfG1E3N88lD3hkCMiWwVOy4YbAtTqrmcnityz3CavpRFV0z6lGVBNNnXZMjgYG+cr5+crzNWO67H10/O05cMMdIT4elzSxiaPI0/d36Z2wdTHOyN842T83TFLfpTmysmCHJhzeSrxC2Niq3zykSOuKWTjzhM5Sp4HiTDOjXXY2HFxjJUbuxLMJWrMtgWxvE8Foo1smWbfd1xXrqYRQi4eSDJOzMr9CVDhI3QmtXTbFELGjHK5tNfsOg9372n+YATfICIZGkXdchxzJL8eGcnFhACutpjfO254zx4807yWY8X3hrnA7fvZjlXJFuo4KYizC8X0TSVZNQilysRaosxs1jg7MQiD92ys57cXvNdNWoTWMX1c92CvKZAmuNsAXgHGsm5QRkSRQm+p85UL11Kog6g8fXfuhLozgD9FvBXSzfv+6MSAuqzqguGaAA76oz476MEBkQ9Pur/X46l/Efg5VB8D4GhytSaACmpKtLaCE63MpYqexKw9NecRqL0VvraFjH42P7O69TrTSgmxxP1eu4Xs2VMR7IGW7paD8bK4ln6/9velf22cdzhb449eYmkKNG3rNR2Y+dAUrRoi7YBghRIC7QoUBQtEPSlj/0r0n+lL/0L+tI+tMiDE+R2DtexHNtSLFkXKYnHknvN9GF2liuKlOQjiILsBwiE9pidmd2Z+c3v+iCkMsSqzlQdGgl9TQSDKg89kxFUjzkTT3J9nuZJNWmrfVQ6lH6gSLd+/8I8bM7S80tbfSzWHCzWHcRCMWi2+sEhNSW4Ol/EYs1B0WT438Y6AODOtodLswVcbuyPemaUoGLzJx5sBMAzdReLtdGudHnHx94wQhBLxDJGP4ix1QtxoWqj7hr49GEPPzhXxrkZB4QQ3Nrs4/vzBSzUHJyu2PhwtYO9YfRIRktCCCqJZF62OBqFUQJfrtuaeRddP0bLC/G75+Zgc4orDRdfbPYxe9FEyWJ46UwZZYthtmCiO+4FcwQMRlEvGKmEZlDF3dPyAlBCEEmB81UbH612cbHuoOoaKFocdddA3TUxDIdYqDnoDKPUu/Ras4QZx4DNKS7WnZR6IQsdDqAzPUgkiw/Z/x3GQqYqSTXRq0h8TX8iJdkXOxILiS+Wt/D+zQf46x9+io1WFyZn8PwYO90BojjG3//5ARilqFVc9Dxf0dQLicsXZnHj9hounW+g6/mgGQ8pSpAa+UfvMRtkTTLHSWJzUpOWziavsxpkPQ5TZx+234lG22yACXQzmfvMdIFOjuNgLM1ho+YY5sTp9yYTu47z0s4uOt5IL9yHlnHcZx3zuiA6+MwwBrS5azyWS8eaqQBvHdxNDnhVqvioZJ5OhCGtxrf4yCHiWG15yjvbIxcmk424Qiq2gZ4foZi4okZCwmQUswUTlJJ9E48XiMTArzhbaq6BisNhGxShkJOl8bTD1K+WLhkBtIMugSZ9U4sgZyTtPe34wKkePAKO4ilIJbQoVtQCjqmpBVQ5NB1U6jeWcrRoEMX2OP5xaAlQ10vTAWiDsSpfpWXKlv20MU5PoCWpMBYQkuCVxSoaBQMGo/jNtQaWtjy8dXcHZyoeXvteXU2UmfspGdHVH4VYykNVM9OgVeC63izzTIPRdDIn6cWPhoWai3utAZ6dL2KuZGKj6+NSo4APH+zBYCRVNd5teSiYigm0WbawsjvAjGNACAnHYKi6BvzIRdsLMF8yE7pxMvVdamcdEMDQE/HYtSYniOJsFgWSUnfsb6460PN83PlqG5xRuLaB2ZkCWnt9nGvOACDwgxizMwXYJkejWoQ3CBALgZX1XWy0eyi5Fk7PlnDj9hqCMIJrG9BBmwb2B5OnNqUpzjEGVbFC4zkSCVHjkkgldKnwDQmbk33jUu+X5MEAtsxzZRKDc7Be+pnTgnkJRhlgHne86Qk7q9DRKk9K5KGTZqvjoV62QQ4xRmbrCKi8iQM/wnMXahOvNyc8UH9neocqE9ud3o0GkU5iIBHHEq7J0mznIARC6Oz7QBCpsIIZ10jVlwSAiAVsUznOiMRmmwbokpFzxdeRMODIhcniLHUCGCfH0miOWaoJIai6BqqJsdzN9GzxEDWj+uj3H/MjAYtRDEKRdpjuUOVswRAkClFGCWIpEQuCMFbGdkYkQqHyxqkFKUleltaHw+QES9sezldtRLFE2eZYqDn4z502dgYRun6ESCia4+4wSnhHQixte/Az0aCTXs/ZGQfX7+/g+WYx8UYDSjZPGSZF8hsldYyFhB/LhL9JgFPyyLuquaIJ12Q4W7FRKxgYhgKuyRAJic4wxkLNAacE76zsIZISz9RdvLOyi2vNIrb7IShR71okdYiF4uEJY1WfosWw1lG7slubfYhMf7omQzvx2rS4onGOkjbqNlmcomgyFC2Guy1P0Ti3B7g2X3wiaTeLU2ULp8rqY7uc2LXCWAkJBiWwOTtAnPbs/OQUWVebo+OL9en5vhjBAZXspMkxikeDmjMgiCSkIBlvQ4kwVpMjQFAp2vjLb38IgMC1DbzxK5VxxbEM/PnXL8MyOd54/SX4YQzb1JFEEtdvLOPMXAULp6swGMMff/niPpoa7YxzWH8LKeGHIvG8VEyqJkvGVyxRsFhKv4FkjJmMwuAkUduqXz1olRMGSb4tCZOP2H9Nrqjdg0jCNenUdFLjQaPHPfcomFbOYeX3/QgffLmNV184jbvrXdzb6ODHV+bw2fIOYiHx0mId79/ZRtHmuNAo4uN7bVw+U4FjMnxyvz1xYZr0PCEkWr0AtsnUO8nEdbgWgx+quDfOCExOMQhi+KFAvWSktj4vEOj5ESoOh+fHMDlFLAS6gxgFW5Xb92M4JkW7H4JTioJF0RnGCJP3pnf+My5/6kI3e/PNNw87f+jJpwmtHx39qeNRPLLGandkbRhWgZtUuZ8nOmhtiKWJay9JBovWrzJGktxeJPVeO1W28N5Xe/h8vYeNXoCLNQc114SQwPX7u1jdG+KVZ2qYK5oo2RwP9nx8tNYFgWLRvNosodUP4JgMp8oW/EhgvevjWrOIqmsgiCTeXtnFF5seLK7USrc2+7h+fxedYYyNbgApJZolCx886OLDBx10/RjrXR+OwQ71htvqBShafJ9h0WQEddfAO8t7+Hyjh7YX4WLNgZAS/7rdwo21LjZ7IX5yoYJGwcSMa8APBd5e3sN618erl2qoOgY2uwH+vdRCexBiqx9gL1nUZmwDNzf7uLnRQ8HkKJgMV+bU5F+2OT592MOtzT4qDkfVMfDJWhfvrnTQGao2GYxgvmTiVNnCuysd3Nzo4dyMjZfPliGlxGrHx+VGAQajWO34mC+ZqZDzJKAEOFux0SxbmCs9fV6i/d/v9F2Vti1p13hO9++Y9P/ZMi2TwzLVBGBwBoOz9DhjFJwz2CYHZxScUTBKcaFZRX2mAIONrn1U0kHlCagU84ySdHetvdU4IwgiCT+hVueUppH/oZBJULtanHiyoOkaGMm9QTSyo6gMGSRRdX49GoavC5xSfL6yg3OzBbS7PlZbHs43inh3aRuvvXgaWSc7VgAAAh5JREFUfihwe20P7y1tYdcLsLE7gB/FON8oYrXlTcyXOA2xUEI7o4pIMhJSpfKSSpgwuBLAtFZJSOU8QwmBhMTeQAnbtqG0BU6iCySEoJDYNfuBCpT1AoGCRSEkgefHCGOZEgYGkdI+PeZY+tu0EyeGwXbiw6VUH3JGrSOTjleqtZG6TZ+LpQRPBpCWzPQuC0B6n8FIugXN5sbLqjLGj2dT1GtFxLhCIntfpmYTy5mkQhnvcH39tP7JPnf83HibxsvPlj2trZPqky1nXPVznHIm1Wf82Hh/fxPeWTmUdO6FQjk/MAo/EjCSdDNeoFTlg8QYZHKKIJJJ/kmCQSjgmgmpoVDqJC3da01AGKvdmFL7KccdKZVm47istycF250h/vHWl/jRpQZMg+Kz5R387GoT9za6+Pm1Jh62Pfz3s4fgjOLlxTo+ud/G8ws1tLs+Pr7bwp9+sYh66WgnH2XbF4l9j2IYChhc7YQUA7ISZoJIwEwkHJHMeXpM+ZGEkGqBEVIJG1o4YJQgEgJ+NFLFRrGEaVAEkVDptpL5UyQCx2OOz6k3neiFKUeOHN88pjkVPWlcz1FlfNuEkaPacpz++ra1+QmRL0w5cuTIkeNEYerCdJTzw3dq+c6RI0eOHN88ThhzfI4cOXLk+K4jX5hy5MiRI8eJQr4w5ciRI0eOE4V8YcqRI0eOHCcK+cKUI0eOHDlOFPKFKUeOHDlynCj8HxjbLVM+6g9/AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MKYup65LPcps"
      },
      "source": [
        "#### Merge current dataset with happiness dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fW4vuZlI4bji"
      },
      "source": [
        "#RS & AK\n",
        "df_happiness=pd.read_excel('DataPanelWHR2021C2.xls')\n",
        "df_happiness = df_happiness.rename(columns = {'Country name':'Country','year': 'Year'})"
      ],
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3RFnSsef4k4J"
      },
      "source": [
        "#RS & AK\n",
        "df_merged_happiness = pd.merge(df_merged, df_happiness,on=['Country', 'Year']).set_index(['Country Code', 'Year'])"
      ],
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H3dhsZistWzG"
      },
      "source": [
        "#### Merge current dataset with forestation dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d69iC1vMtQ8V"
      },
      "source": [
        "#SE\n",
        "\n",
        "FLdata = pd.read_csv('API_AG.LND.FRST.ZS_DS2_en_csv_v2_2917381.csv') #read in Forest data \n",
        "\n",
        "FLdata.drop(FLdata.loc[:, 'Forest area (% of land area)':'2004'], inplace=True, axis=1) #remove data for the years 1990-2004\n",
        "\n",
        "forestation_df = FLdata.melt(id_vars=[\"Country Name\", \"Country Code\"], var_name=\"Year\", value_name=\"Forest Land %\") #convert columns 2005-2020 to Year column \n",
        "forestation_df['Year'] = forestation_df['Year'].astype(int) \n",
        "\n",
        "df_merged_happiness = pd.merge(df_merged_happiness, forestation_df, on=['Country Code', 'Year']).set_index(['Country Code', 'Year']) #merge with dataset and set index"
      ],
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yzZOj6DxP2Qw"
      },
      "source": [
        "#### Plot correlation among columns"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 653
        },
        "id": "WcDQk_WJYi1p",
        "outputId": "e03c6f38-6b85-4145-96fd-278eadd0887c"
      },
      "source": [
        "#RS\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(11,8))\n",
        "sns.heatmap(df_merged_happiness.corr(method='pearson', min_periods=1), annot=True, ax=ax)"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fbc3a63b690>"
            ]
          },
          "metadata": {},
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KNXXr95vQFSl"
      },
      "source": [
        "As we can see from the above figure, the highest correlations are between:\n",
        "1. GDP and Healthy Life Exp, Life Ladder, Social Support\n",
        "2. Life Ladder and GDP, Social Support, Healthy Life Exp, Freedom, Positive affect\n",
        "3. Social support and Healthy Life\n",
        "4. Freedom to make life choices and Positive affect"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O4XNhlZ0b-y7"
      },
      "source": [
        "#### Transform speeches to feature vectors by converting them to a matrix of word frequencies"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NfXECJeFcfvj"
      },
      "source": [
        "# AK\n",
        "\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
        "\n",
        "from nltk.tokenize import word_tokenize\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.stem.lancaster import LancasterStemmer\n",
        "\n",
        "stop_words = stopwords.words('english')\n",
        "lancaster_stemmer = LancasterStemmer()\n",
        "speeches = df_merged_happiness['Speech']\n",
        "\n",
        "def custom_tokenizer(text):\n",
        "    words = word_tokenize(text)\n",
        "    cleaned_words = [lancaster_stemmer.stem(word) for word in words if word.isalpha() and word not in stop_words]\n",
        "    return cleaned_words\n",
        "\n",
        "# TF vectorizer used for LDA\n",
        "tf_vectorizer = CountVectorizer(max_df=0.7, min_df=2, tokenizer=custom_tokenizer)\n",
        "\n",
        "X_train_tf = tf_vectorizer.fit_transform(speeches)\n",
        "\n",
        "vectorizer_feature_names = tf_vectorizer.get_feature_names()"
      ],
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ff_M82w829nE"
      },
      "source": [
        "#### Perform Grid Search to find the best parameters for LDA"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DTo1drxK27rN",
        "outputId": "81ad82e1-c04e-4a1a-84cb-44b62d0c7551"
      },
      "source": [
        "from sklearn.model_selection import GridSearchCV\n",
        "\n",
        "search_params = {'n_components': [10, 15, 20, 25, 30], 'learning_decay': [.5, .7, .9]}\n",
        "\n",
        "lda = LatentDirichletAllocation()\n",
        "\n",
        "grid_search_model = GridSearchCV(lda, param_grid=search_params)\n",
        "\n",
        "grid_search_model.fit(X_train_tf)"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "GridSearchCV(cv=None, error_score=nan,\n",
              "             estimator=LatentDirichletAllocation(batch_size=128,\n",
              "                                                 doc_topic_prior=None,\n",
              "                                                 evaluate_every=-1,\n",
              "                                                 learning_decay=0.7,\n",
              "                                                 learning_method='batch',\n",
              "                                                 learning_offset=10.0,\n",
              "                                                 max_doc_update_iter=100,\n",
              "                                                 max_iter=10,\n",
              "                                                 mean_change_tol=0.001,\n",
              "                                                 n_components=10, n_jobs=None,\n",
              "                                                 perp_tol=0.1,\n",
              "                                                 random_state=None,\n",
              "                                                 topic_word_prior=None,\n",
              "                                                 total_samples=1000000.0,\n",
              "                                                 verbose=0),\n",
              "             iid='deprecated', n_jobs=None,\n",
              "             param_grid={'learning_decay': [0.5, 0.7, 0.9],\n",
              "                         'n_components': [10, 15, 20, 25, 30]},\n",
              "             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,\n",
              "             scoring=None, verbose=0)"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "12WDgS3T3YYL",
        "outputId": "8031a126-0855-4a1e-8fbf-8bfd00e3f43d"
      },
      "source": [
        "# Best Model\n",
        "best_lda_model = grid_search_model.best_estimator_\n",
        "\n",
        "# Model Parameters\n",
        "print(\"Best Model's Params: \", grid_search_model.best_params_)\n",
        "\n",
        "# Log Likelihood Score\n",
        "print(\"Best Log Likelihood Score: \", grid_search_model.best_score_)\n",
        "\n",
        "# Perplexity\n",
        "print(\"Model Perplexity: \", best_lda_model.perplexity(X_train_tf))"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Best Model's Params:  {'learning_decay': 0.9, 'n_components': 10}\n",
            "Best Log Likelihood Score:  -1774939.100436189\n",
            "Model Perplexity:  1887.941630306917\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OsXMDrwZiQyg"
      },
      "source": [
        "#### Run LDA"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sygc4MGuiVne"
      },
      "source": [
        "from sklearn.decomposition import LatentDirichletAllocation\n",
        "\n",
        "number_of_topics = 10\n",
        "\n",
        "lda_model = LatentDirichletAllocation(n_components=number_of_topics, learning_method='online', learning_offset=50., random_state=0, learning_decay=0.9)\n",
        "lda_fit = lda_model.fit(X_train_tf)"
      ],
      "execution_count": 49,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zHPtz7Svir7B"
      },
      "source": [
        "#### Display info about topics"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MtU2Sy4YioKP"
      },
      "source": [
        "def display_topics(H, W, feature_names, documents, no_top_words, no_top_documents):\n",
        "    for topic_idx, topic in enumerate(H):\n",
        "        print(\"Topic %d:\" % (topic_idx))\n",
        "        print(\" \".join([ (feature_names[i] + \" (\" + str(topic[i].round(2)) + \")\")\n",
        "          for i in topic.argsort()[:-no_top_words - 1:-1]]))\n",
        "        top_doc_indices = np.argsort( W[:,topic_idx] )[::-1][0:no_top_documents]\n",
        "        for doc_index in top_doc_indices:\n",
        "            print(str(doc_index) + \". \" + documents[doc_index][-200:])"
      ],
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "inAZnHO1jwRq"
      },
      "source": [
        "#### Visualise topics with pyLDAvis"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 861
        },
        "id": "5_VsCOyPj32_",
        "outputId": "b9fba1e8-e4cb-4f60-84b8-9bd4a84d9786"
      },
      "source": [
        "import pyLDAvis.sklearn\n",
        "\n",
        "pyLDAvis.enable_notebook()\n",
        "\n",
        "pyLDAvis_data = pyLDAvis.sklearn.prepare(lda_model, X_train_tf, tf_vectorizer)\n",
        "pyLDAvis.display(pyLDAvis_data)"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.css\">\n",
              "\n",
              "\n",
              "<div id=\"ldavis_el631404469607543845554019870\"></div>\n",
              "<script type=\"text/javascript\">\n",
              "\n",
              "var ldavis_el631404469607543845554019870_data = {\"mdsDat\": {\"x\": [0.2603652644838439, 0.06552140491551428, -0.04288334692048768, -0.030281106032361692, -0.008802323090604318, -0.021126352318889156, -0.044805130919572105, -0.04165304556088196, -0.04814002110392619, -0.0881953434526351], \"y\": [0.03769683248230173, -0.11461750893399042, 0.07777165478765787, 0.004851929618792002, 0.006624804668810305, 0.005934648939643072, -0.002605643226308024, -0.0004040783867435409, -0.002948742788209024, -0.012303897161954007], \"topics\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], \"cluster\": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], \"Freq\": [96.70592660459133, 2.865863029682594, 0.227462069205102, 0.05531021368627957, 0.03577364415515894, 0.03484065549425003, 0.028707922989211508, 0.015372020499194382, 0.015371989291684884, 0.0153718504051926]}, \"tinfo\": {\"Term\": [\"clim\", \"ter\", \"cris\", \"afr\", \"afric\", \"principl\", \"agend\", \"partn\", \"particul\", \"law\", \"regard\", \"agr\", \"in\", \"poverty\", \"adopt\", \"palestin\", \"rol\", \"wom\", \"situ\", \"theref\", \"among\", \"territ\", \"viol\", \"system\", \"integr\", \"hist\", \"sint\", \"policy\", \"increas\", \"repres\", \"ukrain\", \"hait\", \"georg\", \"russ\", \"bangladesh\", \"migr\", \"europ\", \"herzegovin\", \"latin\", \"emit\", \"market\", \"hondura\", \"indig\", \"canad\", \"sierr\", \"argentin\", \"nicaragu\", \"par\", \"leon\", \"chem\", \"everyth\", \"dream\", \"venezuel\", \"carib\", \"forget\", \"flow\", \"def\", \"sex\", \"colomb\", \"kore\", \"clim\", \"ter\", \"agend\", \"wom\", \"poverty\", \"war\", \"agr\", \"mil\", \"increas\", \"per\", \"partn\", \"cris\", \"grow\", \"system\", \"weapon\", \"produc\", \"multil\", \"heal\", \"policy\", \"want\", \"shar\", \"nuclear\", \"com\", \"fight\", \"reduc\", \"trad\", \"resourc\", \"tru\", \"forc\", \"problem\", \"togeth\", \"every\", \"environ\", \"sign\", \"hist\", \"law\", \"socy\", \"viol\", \"particul\", \"build\", \"sint\", \"principl\", 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          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZWoZaPyW67XI"
      },
      "source": [
        "#### Add a column containing the dominant topic for each speech"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VSDx9BJmkJLF"
      },
      "source": [
        "lda_W = lda_model.transform(X_train_tf)\n",
        "lda_H = lda_model.components_\n",
        "\n",
        "# Create Document - Topic Matrix\n",
        "lda_output = lda_model.transform(X_train_tf)\n",
        "\n",
        "topic_names = [\"Topic\" + str(i) for i in range(lda_model.n_components)]\n",
        "doc_names = [\"Speech\" + str(i) for i in range(len(speeches))]\n",
        "\n",
        "# Make the pandas dataframe\n",
        "df_speech_topic = pd.DataFrame(np.round(lda_output, 2), columns=topic_names, index=doc_names)\n",
        "\n",
        "# Get dominant topic for each document\n",
        "dominant_topic = np.argmax(df_speech_topic.values, axis=1)\n",
        "\n",
        "df_merged_happiness['SpeechDominantTopic'] = dominant_topic\n",
        "\n",
        "# Conclusions: most of the documents have as main subject the climate (stem: clim) and terrorism (stem: ter)."
      ],
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Iuv17z1_60y1"
      },
      "source": [
        "#### Get indices of speeches sorted by relevance to climate"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PSp9V27BL2Y5"
      },
      "source": [
        "From the above visualization (using pyLDAvis), we observe that the most dominant topic contains the term \"clim\" as the second most relevant term. So, this is the topic that corresponds to the climate-related speeches and we need to find its index (climate_topic_index)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ceyI-9-yAtFL",
        "outputId": "15ab7eba-0e2a-4e50-dbd8-61503d95d077"
      },
      "source": [
        "climate_topic_index = df_merged_happiness.groupby(by=['SpeechDominantTopic']).size().idxmax()\n",
        "\n",
        "number_of_top_words = 10\n",
        "number_of_top_documents = 3\n",
        "\n",
        "topic = lda_H[climate_topic_index]\n",
        "\n",
        "print(\"Topic %d:\" % (climate_topic_index))\n",
        "print(\" \".join([ (vectorizer_feature_names[i] + \" (\" + str(topic[i].round(2)) + \")\")\n",
        "  for i in topic.argsort()[:-number_of_top_words - 1:-1]]))\n",
        "\n",
        "speech_indices_sorted_climate = np.argsort( lda_W[:, climate_topic_index] )[::-1]"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Topic 0:\n",
            "ter (3892.44) clim (3568.86) cris (3285.57) law (2873.64) europ (2689.14) viol (2632.44) agr (2547.37) agend (2498.05) principl (2417.09) poverty (2416.83)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZBDztMpwjVuY"
      },
      "source": [
        "#### Filter speeches related to climate and sort them based on their relevance to climate"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3DuPy7be-BQu",
        "outputId": "22fb4a3d-9e77-413a-c1b4-2ad819172446"
      },
      "source": [
        "df_merged_happiness_copy = df_merged_happiness.copy().reset_index()\n",
        "climate_speeches_indices = df_merged_happiness_copy.loc[speech_indices_sorted_climate][(df_merged_happiness_copy['SpeechDominantTopic'] == climate_topic_index) \n",
        "                                                                                            & (df_merged_happiness_copy['Speech'].str.contains('climat', na=False, case=False))].index.values\n",
        "climate_speeches_merged_df = df_merged_happiness.iloc[climate_speeches_indices]"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:3: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aI1xEiDmM5YD"
      },
      "source": [
        "number_of_top_countries = 5\n",
        "\n",
        "top_country_codes_climate_speeches_number = climate_speeches_merged_df\\\n",
        "                                      .groupby('Country Code')\\\n",
        "                                      .size()\\\n",
        "                                      .sort_values(ascending=False)[:number_of_top_countries]\n",
        "top_country_codes_climate = list(top_country_codes_climate_speeches_number.index.values)"
      ],
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IhHWOH8xTI29"
      },
      "source": [
        "#### Sort and filter the original merged dataset to contain data about only the top countries regarding climate-related speeches"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y8uD5cQv-ux6"
      },
      "source": [
        "#SE\n",
        "\n",
        "top_countries_climate = df_merged_happiness\\\n",
        "                          .sort_values([\"Country\", \"Year\", \"Life Ladder\"], ascending=[True, True, True])\\\n",
        "                          .loc(axis=0)[top_country_codes_climate]\n",
        "top_countries_climate = top_countries_climate.reset_index()"
      ],
      "execution_count": 60,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nZLxnkI9-80y"
      },
      "source": [
        "#### Create visualisation for top N countries which had climate-related speeches to see the relationship between forestation and happiness index"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "t2y29z5x-77Q",
        "outputId": "f6b934af-e130-472a-ff1b-dd4c0afcef79"
      },
      "source": [
        "#SE\n",
        "\n",
        "#small multiples for life ladder\n",
        "# sns.set_style(\"darkgrid\", {\"axes.facecolor\": \".9\"})\n",
        "sns.set_style(\"darkgrid\")\n",
        "g = sns.FacetGrid(top_countries_climate, col='Country', hue='Country', col_wrap=number_of_top_countries, height=5, aspect=1)\n",
        "g = g.map(plt.plot, 'Year', 'Life Ladder')\n",
        "g = g.map(plt.fill_between, 'Year', 'Life Ladder', alpha=0.4).set_titles(\"{col_name} country\")\n",
        "g = g.set_titles(\"{col_name}\")\n",
        "plt.subplots_adjust(top=0.92, )\n",
        "g = g.fig.suptitle('Happiness index for the top 5 countries over Years', y=1.15, fontweight='bold')\n",
        "plt.show()\n",
        "\n",
        "#small multiples for forest %\n",
        "sns.set_style(\"darkgrid\")\n",
        "# sns.set_style(\"darkgrid\", {\"axes.facecolor\": \".9\"})\n",
        "g = sns.FacetGrid(top_countries_climate, col='Country', hue='Country', col_wrap=number_of_top_countries, height=5, aspect=1)\n",
        "g = g.map(plt.plot, 'Year', 'Forest Land %')\n",
        "g = g.map(plt.fill_between, 'Year', 'Forest Land %', alpha=0.4).set_titles(\"{col_name} country\")\n",
        "g = g.set_titles(\"{col_name}\")\n",
        "plt.subplots_adjust(top=0.92, )\n",
        "g = g.fig.suptitle('Forest land % for the top 5 countries over Years', y=1.15, fontweight='bold')\n",
        "plt.show()\n",
        "\n",
        "top_country_codes_climate_speeches_number.plot.bar(ylabel='Number of speeches', figsize=(11, 8))\n",
        "plt.suptitle('Number of climate-related speeches per country in descending order', fontweight='bold')\n",
        "plt.subplots_adjust(top=0.92, )\n",
        "plt.show()"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1800x360 with 5 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1800x360 with 5 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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5eWW6/LTlHD16VFarVRaLRUeOHMkwLytKly6tP//8U7t27bKNqiQnJytPnjvbzW/cHpltn++//16S9OGHH6p169Z699139fXXX9tGo9Jel/6Lt3Tp0pKuf4Fs2LDBFt6TkpJsH/p//PFHprWl345ZWZYzavbx8VHevHmVlJSkI0eOqFixYrYLqzKTkpKil19+Wf369dPJkyf11Vdfadq0aZo1a5ZGjx5te17aF8b58+dt56uVLFnStl80bdpUEyZMsD3/7NmzKlSokO0cwUqVKmnx4sWyWCySpIsXL8pqtdq+eE6dOqWzZ8/Kz89P0s37S9r2SHt9Gnvtp6SkaPjw4Ro2bJhiY2M1ceJELV26VAsXLlTfvn0z3S53u77p3e69ltaXt1rvtDauXr2qkydP6v7777/pfZgWgtI+Z9Kfo3qjzLbdrfax29VfsWJFVapUSXv27LEdBk3/j1ZWpfXrjfXcKC1snz59WomJifL29r5pf7b32Xft2jWNGzdOycnJOnbsmEaNGqWNGzcqMjLS1gd//PGHrl69qvvuu09Sxj7w8/PTTz/9ZNsWV69e1aVLlzLUkNn2LVGihCTZ+i45OfmW5yTeSvp9P/1y05Z59epVnT59WiVLlrzpcPyN7uRzPX2fp2/r1KlTKlWqVKbb3/T9gOxHqHQjFotF/fr104ABA26a9+ijjyoqKkrvvfeeypYtazvvKDt8+umn2r9/v+38uaZNm6pAgQJ67rnntHDhQs2dO1exsbHy8fHRoUOHFB0drf3792d5+U8++aQeeOABxcTEqGvXrvLx8dGPP/6o++67T88880yWlxMWFqZ169Zpzpw5iomJUbFixbR7924tW7bsjtc5K4oVK6ZLly5p7ty52rBhw00XyJQsWVLS9S+nt956Sw899JB69+6tFi1aaOXKlerYsaOeeOIJxcfHa8eOHerUqZP69++f5fZ9fX3veFmOqrlly5aKiIjQ66+/rieeeEKrVq26be2nTp1Sx44dVbNmTRUrVsx2zlf6EXRJ+uqrr3ThwgXt379fycnJqlSpksqXL6/ChQtrypQp+vHHH9WrVy/b/rNt2zatWrVKjRo1UunSpbVnzx517txZjzzyiE6dOqWtW7dq6tSpqlWrlmrWrKnt27erQ4cOatCggU6fPq2GDRtm6TZTrVu3vm37J06c0JAhQ1StWjUVKVIk0/W70d2ub1pQsadSpUq3Xe/g4GCtWrVKPXr0UPXq1W2Hw1944QVJ/xsdW7p0qTw9Pe/qvZXZPnY7zz77rPbs2aONGzeqcOHCatSo0R23m1XVqlWznWfapUsXlS5dWj/++GOG59j77Fu+fLmmTZumypUrK3/+/LbwXbhwYdWtW1dlypTR0aNHFRoaqtq1a+vw4cPq3r277eKc6OhoPfPMMwoKCtJff/2lbdu2aciQIWrfvr3d+lu2bKkJEyZo8+bN6tOnjy5cuKBz584ZbZOSJUuqdu3a2rp1q3r27KnKlSvb/kHNzN1+rpcsWVK1atXStm3b1LNnT1WpUuWmtuy9/7L6fkD240IdN9OsWTPbYZz0hg0bpkceeUT79u3T6dOns/Thk1X9+/fX3r17deHCBTVp0kTvvvuupOsjCDNnzrR9Sa1YsUJXrlzRiy++eEfLz58/v2bPnq3g4GAdPnxYv/76q2rXrq1Zs2bpoYceyvJy6tevr6lTpyooKEg7duzQDz/8YDt84gijRo1SuXLldODAAV25ckXPPfdchvmlS5dWz549VahQIS1atMh2JeWoUaPUu3dveXh4aMmSJYqOjla1atXUoEGDu6rhTpblqJrffvttBQcH6+LFi9q9e7fdfaBgwYKqWrWqoqKitHDhQp05c0YhISF6+eWXMzyvd+/eOnHihGJiYlS7dm19+umnslgsKlGihObOnavGjRtr3759+u677xQXF6fnn39ePj4+tn2qVatWOnnypJYuXaojR46oTZs2tsNxEydOVFhYmPLkyWObn9UvI3vtlyhRQg899JA2bdqkhQsXKjExUZ06dbppe9/obtc3q+yt9+jRo9W9e3clJSVp5cqVKl26tMLDw20jg23btlWrVq2UlJSkdevWqXv37lluO01m+9jttG7d2jZK2rRpU4eOPuXJk0eTJk1S1apVdfDgQV2+fPmmfrP32Ve2bFn5+Phow4YNWrx4sfLmzauXX35ZjRs3tp3X3rZtW129elVLlizRuXPnVLx4cXl4eGjSpEnq1KmTrly5oiVLlmjfvn1q1KiR7WJFe8qUKaMxY8bI399fmzZt0qOPPpoth4A//vhj1atXTydPnlRMTIyt7zPrC5PP9Y8//lhPPPGETp48qaNHj950K73sej8g+1ms9s4cBwAnCwsL09atWxUeHp6t/yDlVLltfe/Gv//9b/3888+aNWtWphf9wXEuXbqU4dDy8OHDtWDBArVp00YfffSRCytDTsLhbwBAjrVz5079/PPP2rJli8qVK6fHH3/c1SXlSosXL9aaNWtUu3ZtxcbG6rvvvpOHh4ft1AhAIlQCAHKwn3/+WRMnTlTZsmX10Ucf2b3QBo5RtmxZ/fXXX5o2bZq8vb1Vs2ZN9enTx+gWd7j3cPgbAAAAxrhQBwAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACM5XF1AVmRmpqqlBSrq8twKk9PS65b59yKvs496Ovcg77OHXJrP+fN63nL6W4RKlNSrIqPT3B1GU5VtGj+XLfOuRV9nXvQ17kHfZ075NZ+9vMrdMvpHP4GAACAMUIlAAAAjBEqAQAAYIxQCQAAAGOESgAAABgjVAIAAMAYoRIAAADGCJUAAAAwRqgEAACAMUIlAAAAjBEqAQAAYIxQCQAAAGOESgAAABgjVAIAAMAYoRIAAADGCJUAAAAwRqgEAACAMUIlAAAAjBEqAQAAYIxQCQAAAGN5XF1ATlewsLe887lmM/n5FXJJu4n/JOvyxUSXtA0AANwTodIO73x5VGbwCleX4VRH3w/RZVcXAQAA3AqHvwEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIw5LFQOGTJEdevWVatWrW6aN2PGDFWoUEHnz593VPMAAABwIoeFyvbt22v69Ok3TT916pQ2btyo+++/31FNAwAAwMkcFipr1aqlIkWK3DQ9PDxcb7zxhiwWi6OaBgAAgJPlcWZjq1evVvHixVWxYsU7ep2np0VFi+Z3UFW4ldy2vVMk3ZfX02Xt+/kVckm7V5NS5Lq1dg36OvfIjX2dG/tZcm1f857+H6eFysTERE2ZMkUzZsy449empFgVH5/ggKrsc9XO4mqu2t6u4udXSGUGr3B1GU539P0QnT17ydVlOBV9nXvkxr7Ojf0s0dfOllk2ctrV3zExMYqNjVXbtm3VpEkTnT59Wu3bt9fZs2edVQIAAAAcxGkjlRUqVNCmTZtsj5s0aaJFixbJ19fXWSUAAADAQRw2Ujlw4EB16tRJR44cUcOGDbVw4UJHNQUAAAAXc9hI5dixY287/6effnJU0wAAAHAyflEHAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxvI4asFDhgzRunXrVKxYMS1fvlyS9MEHH2jt2rXKmzevHnzwQYWHh6tw4cKOKgEAAABO4rCRyvbt22v69OkZptWrV0/Lly/XsmXLVKZMGU2ZMsVRzQMAAMCJHBYqa9WqpSJFimSYVr9+feXJc31wtFq1ajp9+rSjmgcAAIATOezwtz2LFy9WixYtsvRcT0+LihbN7+CKkB7bO/egr3MP+jp3oJ9zj5zW1y4JlZ9//rk8PT3Vpk2bLD0/JcWq+PgEB1d1a35+hVzSrqu5anu7Sm7tZ4m+zk3o69wht/WzRF87W2bb2+mh8ttvv9W6des0a9YsWSwWZzcPAAAAB3BqqNywYYOmT5+uefPmydvb25lNAwAAwIEcFioHDhyorVu36sKFC2rYsKH69++vqVOn6tq1a+rRo4ckKTAwUO+++66jSgAAAICTOCxUjh079qZpzz77rKOaAwAAgAvxizoAAAAwRqgEAACAMUIlAAAAjBEqAQAAYIxQCQAAAGOESgAAABgjVAIAAMAYoRIAAADGCJUAAAAwRqgEAACAMUIlAAAAjBEqAQAAYIxQCQAAAGOESgAAABgjVAIAAMAYoRIAAADGCJUAAAAwRqgEAACAMUIlAAAAjBEqAQAAYIxQCQAAAGOESgAAABgjVAIAAMAYoRIAAADGCJUAAAAwRqgEAACAMUIlAAAAjBEqAQAAYIxQCQAAAGOESgAAABgjVAIAAMAYoRIAAADGCJUAAAAwRqgEAACAMUIlAAAAjBEqAQAAYIxQCQAAAGOESgAAABgjVAIAAMAYoRIAAADGCJUAAAAwRqgEAACAMUIlAAAAjBEqAQAAYIxQCQAAAGOESgAAABgjVAIAAMAYoRIAAADGCJUAAAAw5rBQOWTIENWtW1etWrWyTYuPj1ePHj3UrFkz9ejRQ3///bejmgcAAIATOSxUtm/fXtOnT88wberUqapbt64iIyNVt25dTZ061VHNAwAAwIkcFipr1aqlIkWKZJi2Zs0ahYaGSpJCQ0O1evVqRzUPAAAAJ8rjzMbOnTun4sWLS5L8/Px07ty5LL3O09OiokXzO7I03IDtnXvQ17kHfZ070M+5R07ra6eGyvQsFossFkuWnpuSYlV8fIKDK7o1P79CLmnX1Vy1vV0lt/azRF/nJvR17pDb+lmir50ts+3t1Ku/ixUrpjNnzkiSzpw5I19fX2c2DwAAAAdxaqhs0qSJli5dKklaunSpnnrqKWc2DwAAAAdxWKgcOHCgOnXqpCNHjqhhw4ZauHChevfurY0bN6pZs2b69ddf1bt3b0c1DwAAACdy2DmVY8eOveX02bNnO6pJAAAAuAi/qAMAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDG7oTIhIUGpqamSpCNHjmjNmjVKSkpyeGEAAABwH3ZDZZcuXfTPP/8oLi5OvXr1UkREhAYPHuyM2gAAAOAm7IZKq9Uqb29vRUZGqnPnzho/frz+/PNPZ9QGAAAAN5GlUBkdHa1ly5bpySeflCTb4XAAAABAykKoHDp0qKZMmaKnn35aDz/8sI4fP646deo4ozYAAAC4Cbu//V27dm3Vrl1biYmJkiR/f3+9/fbbDi8MAAAA7sPuSGV0dLRatmypFi1aSJL279+vESNGOLouAAAAuBG7oXL06NH64osvVLRoUUlSxYoVtX37docXBgAAAPeRpZuflypVKuOLPLhnOgAAAP7H7jmVpUqVUlRUlCwWi5KSkjRnzhwFBAQ4ozYAAAC4CbtDjiNGjNCXX36puLg4NWzYUPv27dPw4cOdURsAAADchN2RSl9fX40ZM8YZtQAAAMBN2Q2V58+f1zfffKMTJ04oOTnZNj08PJ1+XmQAAB+4SURBVNyhhQEAAMB92A2Vffr0UY0aNVS3bl15eno6oyYAAAC4GbuhMjExUW+88YYzagEAAICbsnuhzpNPPqn169c7oxYAAAC4qUxHKoOCgmSxWGS1WjVlyhR5eXkpT548slqtslgsioqKcmadAAAAyMEyDZXR0dHOrAMAAABuzO7h7x9//FGXLl2yPb548aJWr17t0KIAAADgXuyGygkTJqhQoUK2x4ULF9aECRMcWhQAAADci91QmZqaetO0lJQUhxQDAAAA92Q3VFauXFnh4eGKiYlRTEyMwsPDValSJWfUBgAAADdhN1QOGzZMefPm1auvvqrXXntN+fLl47e/AQAAkIHdm5/nz59fgwYNUkJCgvLnz++MmgAAAOBm7I5URkVFqWXLlmrZsqUkaf/+/RoxYoSj6wIAAIAbsRsqw8PD9cUXX6ho0aKSpIoVK2r79u0OLwwAAADuw26olKRSpUplfJFHll4GAACAXMLuOZWlSpVSVFSULBaLkpKSNGfOHAUEBDijNgAAALgJu0OOI0aM0Jdffqm4uDg1bNhQ+/bt4+pvAAAAZGB3pNLX11djxoxxRi0AAABwU3ZHKo8cOaJu3bqpVatWkq5f/T1p0iSHFwYAAAD3kaWbn7/++uvKk+f6oGbFihX1/fffO7wwAAAAuA+7oTIxMVFVq1bNMM3T09NhBQEAAMD92A2VPj4+iomJkcVikST98MMP8vPzc3hhAAAAcB92L9R55513NGzYMB0+fFgNGjRQ6dKl9fHHHzujNgAAALgJu6HS399fs2bNUkJCglJTU1WwYEFn1AUAAAA3YjdUXrhwQRMnTtSOHTtksVhUvXp19e3bVz4+Ps6oDwAAAG7A7jmVAwcOlI+Pj8aPH69PP/1Uvr6+eu2115xRGwAAANyE3ZHKs2fPqm/fvrbHffr00cqVKx1aFAAAANyL3ZHKevXqacWKFUpNTVVqaqq+//571a9f3xm1AQAAwE3YHan85ptvNHv2bL355puyWq1KTU2Vt7e35s+fL4vFoqioKGfUCQAAgBzMbqiMjo52Rh0AAABwY3YPf+/YsUMJCQmSpIiICIWHh+vkyZMOLwwAAADuw26oHDFihLy9vbV//37NnDlTDz74oN58802jRmfNmqWQkBC1atVKAwcO1D///GO0PAAAALiW3VCZJ08eWSwWrV69Wi+88IJeeOEFXbly5a4bjIuL05w5c7R48WItX75cKSkpWrFixV0vDwAAAK5nN1QWKFBAU6ZM0bJly/Tkk08qNTVVycnJRo2mpKTo6tWrSk5O1tWrV1W8eHGj5QEAAMC17IbKTz75RF5eXho1apT8/Px0+vRp9erV664bLFGihHr27KnGjRurfv36KliwILcoAgAAcHN2r/728/NTjx49bI/vv/9+hYaG3nWDf//9t9asWaM1a9aoUKFCeuWVVxQREaG2bdtm+hpPT4uKFs1/123izrG9cw/6Ovegr3MH+jn3yGl9bTdUZrdff/1VpUuXlq+vrySpWbNmio6Ovm2oTEmxKj4+wVklZuDnV8gl7bqaq7a3q+TWfpbo69yEvs4dcls/S/S1s2W2ve0e/s5u999/v3bt2qXExERZrVZt2rRJAQEBzi4DAAAA2SjTUNmtWzdJ0kcffZStDQYGBio4OFjt2rVT69atlZqaqueeey5b2wAAAIBzZXr4++zZs4qKitJPP/2kkJAQWa3WDPMrVap0140OGDBAAwYMuOvXAwAAIGfJNFQOGDBAkyZN0unTpxUeHp5hnsVi0Zw5cxxeHAAAANxDpqGyefPmat68uSZOnKi+ffs6syYAAAC4GbtXf/ft21dr1qzR9u3bJUm1a9dW48aNHV4YAAAA3Ifdq7/HjBmjOXPmKCAgQAEBAZozZ47Gjh3rjNoAAADgJuyOVK5bt04RERHy8LieP9u1a6fQ0FANHDjQ4cUBAADAPWTpPpUXL160/X3p0iWHFQMAAAD3ZHek8sUXX1S7du1Up04dWa1Wbdu2TYMGDXJGbQAAAHATdkNlq1atVLt2be3evVuSNGjQIPn5+Tm8MAAAALiPLP32d/HixfXUU085uhYAAAC4Kaf/9jcAAADuPYRKAAAAGLttqExJSVHz5s2dVQsAAADc1G1Dpaenp8qWLauTJ086qx4AAAC4IbsX6ly8eFEhISGqWrWqvL29bdMnT57s0MIAAADgPuyGyldeecUZdQAAAMCN2Q2VtWvX1okTJ3Ts2DE98cQTSkxMVEpKijNqAwAAgJuwe/X3N998owEDBmj48OGSpLi4OPXt29fhhQEAAMB92A2VX375pb7++msVLFhQklSmTBmdP3/e4YUBAADAfdgNlV5eXvLy8rI9Tk5OdmhBAAAAcD92z6msVauWJk+erKtXr2rjxo366quv1KRJE2fUBgAAADdhd6Ry0KBB8vX11SOPPKIFCxaoUaNGevXVV51RGwAAANyE3ZFKDw8PhYaGqmrVqrJYLCpbtqwsFoszagMAAICbsBsq161bp3feeUcPPvigrFarYmNj9f/+3/9To0aNnFEfAAAA3IDdUPn+++9rzpw5euihhyRJMTEx6t27N6ESAAAANnbPqSxQoIAtUEqSv7+/ChQo4NCiAAAA4F4yHamMjIyUJFWuXFn/+c9/1KJFC1ksFv3www+qUqWK0woEAABAzpdpqFy7dq3t73/961/atm2bJMnX11f//POP4ysDAACA28g0VIaHhzuzDgAAALgxuxfqHD9+XPPmzdOJEycy/JrO5MmTHVoYAAAA3IfdUNm3b1916NBBjRs3loeH3et6AAAAkAvZDZX58uVT165dnVELAAAA3JTdUNm1a1dNmDBB9erVk5eXl216pUqVHFoYAAAA3IfdUHngwAFFRERo8+bNtp9ntFgsmjNnjsOLAwAAgHuwGyp/+OEHrV69OsMoJQAAAJCe3StvHn74YV26dMkZtQAAAMBN2R2pvHTpklq0aKEqVaoob968tuncUggAAABp7IbK/v37O6MOAAAAuDG7obJ27drOqAMAAABuzG6oDAoKsl31nZSUpOTkZHl7eysqKsrhxQEAAMA92A2V0dHRtr+tVqvWrFmjnTt3OrQoAAAAuJc7+t1Fi8Wip59+Wr/88ouj6gEAAIAbsjtSGRkZafs7NTVVv//+u/Lly+fQogAAAOBe7IbKtWvX2v729PTUAw88oEmTJjm0KAAAALgXu6EyPDzcGXUAAADAjWUaKidMmJDpiywWi/r27euQggAAAOB+Mg2V+fPnv2laQkKCFi9erPj4eEIlAAAAbDINlT179rT9ffnyZc2ZM0fffvutWrZsmWEeAAAAcNtzKuPj4zVz5kwtW7ZM7dq105IlS1SkSBFn1QYAAAA3kWmo/OCDD/Tjjz+qY8eOWrZsmQoUKODMugAAAOBGMg2VM2fOlJeXlz7//HNNnjzZNt1qtcpisRj9TOPFixf19ttv68CBA7JYLBo9erSCgoLuenkAAABwrUxD5f79+x3W6KhRo9SgQQONHz9e165d09WrVx3WFgAAABzvjn6mMTtcunRJ27ZtU4cOHSRJXl5eKly4sLPLAAAAQDZyeqiMjY2Vr6+vhgwZotDQUL311ltKSEhwdhkAAADIRnZ/USe7JScna+/evRo2bJgCAwM1cuRITZ06Va+++mqmr/H0tKho0ZvvmwnHYXvnHvR17kFf5w70c+6R0/ra6aGyZMmSKlmypAIDAyVJzZs319SpU2/7mpQUq+LjXTOa6edXyCXtupqrtrer5NZ+lujr3IS+zh1yWz9L9LWzZba9nX7428/PTyVLltThw4clSZs2bVJAQICzywAAAEA2cvpIpSQNGzZMgwYNUlJSkvz9/RUeHu6KMgAAAJBNXBIqH330UX377beuaBoAAAAO4PTD3wAAALj3ECoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMuSxUpqSkKDQ0VC+++KKrSgAAAEA2cVmonDNnjgICAlzVPAAAALKRS0Ll6dOntW7dOnXo0MEVzQMAACCbuSRUjh49Wm+88YY8PDilEwAA4F6Qx9kNrl27Vr6+vqpcubK2bNmSpdd4elpUtGh+B1eG9NjeuQd9nXvQ17kD/Zx75LS+dnqojIqK0k8//aQNGzbon3/+0eXLlzVo0CB9/PHHmb4mJcWq+PgEJ1b5P35+hVzSrqu5anu7Sm7tZ4m+zk3o69wht/WzRF87W2bb2+mh8vXXX9frr78uSdqyZYtmzJhx20AJAACAnI+TGgEAAGDM6SOV6dWpU0d16tRxZQkAAADIBoxUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMYIlQAAADBGqAQAAIAxQiUAAACMESoBAABgjFAJAAAAY4RKAAAAGCNUAgAAwBihEgAAAMbyOLvBU6dO6c0339S5c+dksVjUsWNHdevWzdllAAAAIBs5PVR6enpq8ODBqlSpki5fvqxnnnlG9erVU/ny5Z1dCgAAALKJ0w9/Fy9eXJUqVZIkFSxYUOXKlVNcXJyzywAAAEA2cvpIZXqxsbHat2+fAgMDb/s8T0+LihbN76SqIIntnYvQ17kHfZ070M+5R07ra5eFyitXrmjAgAEaOnSoChYseNvnpqRYFR+f4KTKMvLzK+SSdl3NVdvbVXJrP0v0dW5CX+cOua2fJfra2TLb3i65+jspKUkDBgxQ69at1axZM1eUAAAAgGzk9FBptVr11ltvqVy5curRo4ezmwcAAIADOD1U7tixQxEREdq8ebPatm2rtm3bav369c4uAwAAANnI6edU1qxZU3/88YezmwUAAIAD8Ys6AAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMEaoBAAAgDFCJQAAAIwRKgEAAGCMUAkAAABjhEoAAAAYI1QCAADAGKESAAAAxgiVAAAAMOaSULlhwwYFBweradOmmjp1qitKAAAAQDZyeqhMSUnRu+++q+nTp2vFihVavny5/vzzT2eXAQAAgGzk9FD522+/6aGHHpK/v7+8vLwUEhKiNWvWOLsMAAAAZCOL1Wq1OrPBH374QT///LNGjRolSVq6dKl+++03DR8+3JllAAAAIBtxoQ4AAACMOT1UlihRQqdPn7Y9jouLU4kSJZxdBgAAALKR00NllSpVdPToUR0/flzXrl3TihUr1KRJE2eXAQAAgGyUx+kN5smj4cOH69///rdSUlL0zDPP6OGHH3Z2GQAAAMhGTr9QBwAAAPceLtQBAACAMUIlAAAAjBEqAQAAYIxQCQAAAGNOv/obNxs1apTeeustSdLs2bPVrVs327zBgwfr/fffd1VpyGYvvfTSbedPnjzZSZXAlTp16qT58+e7ugxkowsXLmj58uU6fPiwJCkgIEAhISHy8fFxcWXILjNnzszw2GKxqGjRoqpRo4b8/f1dVFXOQqjMAbZv3277e+nSpRlC5R9//OGKkuAgO3fuVKlSpRQSEqLAwEBx84Xc6dSpU64uAdno0KFD6tatm+rXr69HH31UVqtVu3fv1uTJkzV79mwFBAS4ukRkgytXrtw0LTY2VpMnT1b//v0VEhLigqpyFkJlDpA+WBAy7m0bN27Uxo0btWLFCi1fvlyNGjVSq1atuFdrLmOxWFxdArLRp59+qqFDh6ply5YZpq9atUrjxo3TZ5995qLKkJ369et3y+nx8fHq0aMHoVKEyhwhNTVVf//9t1JTU21/p4XLlJQUF1eH7OTp6amGDRuqYcOGunbtmpYvX66wsDD169dPXbp0cXV5yEaRkZG3nG61WnX16lUnVwNH+uOPPzR+/PibpgcHB2vs2LEuqAjOVLRoUQaE/g+hMge4fPmy2rdvb9sp27VrZ5vHiMa959q1a1q3bp2WL1+uEydOKCwsTE2bNnV1Wchma9euzXRe48aNnVgJHC1//vx3NQ/3hs2bN6tw4cKuLiNH4Bd1ACd68803dfDgQTVs2FAhISF65JFHXF0SAEMNGzZUjx49bpputVo1e/ZsrV+/3gVVIbu1bt36pml///23ihcvrg8++IBzZ0WozBH69OmjoKAgVa9eXVWqVJGXl5erS4KDVKxYUd7e3pIyjkJbrVZZLBZFRUW5qjRks+eee06vvvqq6tate9O8bt26afbs2S6oCo4wYcKE287P7Fw8uJcTJ05keJx29Tej0f9DqMwB1q5dq+joaEVHR2v//v0KCAiwhcygoCD961//cnWJAO5QgwYNVKhQITVq1EgDBw5U3rx5bfNCQ0O1dOlSF1YH4E5t2rTJ9k/i8ePHM9xGKDIyUs2aNXNVaTkGoTKHSUlJ0d69e7V161bNnz9fsbGx2rdvn6vLQjaJj4+/7fyiRYs6qRI4Wrt27fTVV19p5MiR2rt3r8aMGaNy5crZ5i1ZssTFFSK7HDx4UDExMXrqqackSaNHj9alS5ckSV26dFGlSpVcWR6ySfr37Y3vYd7T13GhTg5x/vx522jlrl279M8//6hu3boKCgpydWnIRu3bt5fFYpHVatXZs2dVvHhx2wVaFotFa9ascXGFyE7e3t4aNWqUIiMj1bNnT7344ovq3LkzV4reY8aMGaPevXvbHv/yyy965ZVXlJiYqIkTJ2rSpEkurA7Z5Xa3/+M9fR2hMgdo1qyZChYsqODgYNWvX18vv/yyChQo4Oqy4AA//fST7W8OgeYezZo1U2BgoAYPHqz169crISHB1SUhG505c0bVq1e3PU77PJekBQsWuKosZLP058HfeGcW7tRyHaEyB3jmmWe0c+dOrVq1SgcOHNDBgwdVrVo1PfbYY/L09HR1eXAQPoTubb6+vhkelyhRQjNnztT06dO1ceNGF1UFR7jxl1a++eYb29/nz593djlwkOPHj9t+ajf939L1X9YB51TmOEeOHFF0dLR27typHTt2yMfHR/PmzXN1WXAAzsEB7g1hYWEaNGiQAgMDM0zfuXOnxowZo7lz57qoMmSnrVu33nZ+7dq1nVRJzsVIZQ5y/Phx/fbbb9q1a5d27typc+fOqXTp0q4uC9lo5syZtr/PnTuX4bGkW97rDu7pdreZsVgs6tu3rxOrgSO98cYbevXVV9W+fXs99thjkqQ9e/ZoyZIlGjdunIurQ3ZJHxrTRqBvPCKR2zFSmQP07dtXu3btUsGCBW23EqpevTo3Ur0HcT+73GPGjBk3TUtMTNSiRYsUHx+v6OhoF1QFR/nrr7/05Zdf6s8//5QklS9fXi+88AK3hLuHWK1WTZw4UXPnzpXVapXVapWnp6e6dOnCZ/f/IVTmABMmTFD79u11//33S5KWLFmiyMhIPfDAA+rXrx+3mbmHnDp1SqVKlbrlvLVr1/Lzffeoy5cva86cOVq0aJFatGihnj17qlixYq4uCw50/vx5+fj4cO70PWTmzJnasGGD3n33Xds9Ko8fP64RI0aoQYMG6t69u2sLzAE8XF0ApDVr1tjuyL9t2zaNGTNGoaGhKliwoIYPH+7i6pCdevToccsTuhcvXqxRo0a5oCI4Unx8vD755BO1adNGKSkpWrJkid544w0C5T1m586dCgsLU79+/bR37161atVKrVu31hNPPKENGza4ujxkk4iICI0ZMybDTc/9/f310UcfcSeP/8M5lTlAamqqbTTy+++/13PPPafg4GAFBwerbdu2Lq4O2WnIkCHq1auXpkyZojJlykiSpkyZouXLl3NB1j3mgw8+0I8//qiOHTtq2bJl3CbsHvbuu+9q4MCBunTpkrp166Zp06apWrVqOnTokF5//XU1bNjQ1SUiGyQnJ9/yHEpfX18lJye7oKKch1CZA6SkpCg5OVl58uTRpk2b9N5772WYh3tHo0aN5OXlpf/85z+aOHGiFi5cqN27d2vevHkqUqSIq8tDNpo5c6a8vLz0+eefa/Lkybbp/M77vSclJUX169eXJI0fP17VqlWTJM6Lv8ek/6nVO5mXmxAqc4CQkBB16dJFPj4+uu+++1SzZk1J0rFjx1SwYEEXV4fsVrduXYWHhyssLExBQUGaPXu28uXL5+qykM3279/v6hLgJB4e/zuT7L777sswj3Mq7x379+/PcJP7NFarVdeuXXNBRTkPF+rkEDt37tTZs2dVr1492/mVR44cUUJCAr8bew8JCgqy/UxjUlKS8uTJIw8PD0avADf26KOPytvbW1arVf/8848tWKaFjT179ri4QsA5CJUAAAAwxtXfAAAAMEaoBAAAgDEu1AGQK5w9e1ajR4/W7t27VbhwYRUrVkxDhw5V2bJls62NLVu2KG/evLc8mf9OrF+/Xp9++qmuXr0qLy8vPf744xo8eHCWXx8UFMQv9gBwOkIlgHue1WpVv379FBoaqk8++UTS9Ss5z507l62hcuvWrcqfP/8tQ2XabcPsOXDggN577z1NmTJFAQEBSklJ0YIFC7KtRgBwFEIlgHve5s2blSdPHnXu3Nk2rWLFipKuB84PP/xQP//8sywWi15++WW1bNlSW7Zs0YwZMzRlyhRJ129wXblyZbVv315NmjRRaGio1q5dq+TkZI0bN0758uXT/Pnz5eHhoe+++07Dhg3TokWL5OXlpX379ql69epau3at5s+fL19fX6Wmpio4OFgLFizIcEPl6dOn66WXXrLd49DT01PPP/+8JCk2NlZDhw7VhQsX5Ovrq/DwcN1///06fvy4Bg0apISEBDVp0iTDuk+fPl0rV67UtWvX1LRpUw0YMMCh2xpA7sU5lQDueQcPHsz01lyRkZHav3+/IiIiNHPmTH344Yc6c+aM3WX6+PhoyZIl6tSpk2bMmKHSpUurU6dO6t69uyIiImz3m42Li9P8+fM1ZMgQtWnTRt99950k6ddff1XFihVv+oWOgwcPqnLlyrdsc+TIkWrXrp2WLVum1q1ba+TIkZKkUaNGqXPnzlq2bJmKFy9ue/4vv/yiY8eOadGiRYqIiNCePXu0bds2+xsMAO4CoRJArrZjxw6FhITI09NT//rXv1SrVi3t3r3b7uuaNWsmSapcubJOnDiR6fOaN28uT09PSdIzzzyjiIgISdd/7719+/Z3VOv/b+/+YZmLwgCMP5dBMDYGqZFEDBYGQwesmpRBYpcYLXRopStDjRb/Vp1MImIwNl0qTTBYitXAIBHRRBnEjebzUSok8vym23NP7zn3Tm/eN29OqVQiHo8DkEgkODw8DMfHxsbC8Rf5fJ58Ps/4+DgTExOcnZ1xcXHxqTUlqV6WvyX9eT09Pezv73/qP83NzVSr1fD3/f19zf2XY9mamprePU61tbU1vO7s7CQSiVAoFDg6OmJ5efmf+d3d3ZycnITl+Xq9dXLL4+MjMzMzTE1NfepZkvQVZiol/XlDQ0NUKpWahpfT01OKxSKDg4Ps7e3x8PDA9fU1xWKR/v5+otEo5XKZSqXCzc0NhULhw3Xa29u5vb19d87k5CTJZLImg/na9PQ0q6urnJ+fA1CtVsnlcsBzV/fu7i4AOzs7YYn99fhLeR0gFouxvb0d7uny8pKrq6sP30OSvsJMpaQ/LwgCVlZWWFxcZH19nZaWFqLRKOl0moGBAUqlEolEgiAISCaTdHR0AM+l63g8TldXF319fR+uMzIywuzsLAcHB2QymTfnjI6Okkql/lv67u3tJZ1OMzc3x93dHUEQMDw8DEAmkyGVSrG5uRk26gAsLCwwPz/PxsZGTaNOLBajXC6Hmcq2tjay2SyRSKTubydJ9fKYRkn6QcfHxywtLbG1tfXbW5Gkb2WmUpJ+yNraGrlcjmw2+9tbkaRvZ6ZSkiRJDbNRR5IkSQ0zqJQkSVLDDColSZLUMINKSZIkNcygUpIkSQ0zqJQkSVLDngCflj9F0ZWe8wAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 792x576 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PxWAm3C3_Apo"
      },
      "source": [
        "#### Find the best parameters to train our model for regression between happiness and deforestation\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R6Y7LOrM_Fm5",
        "outputId": "31f68eec-4c19-4445-d73f-016151d1854d"
      },
      "source": [
        "from sklearn.model_selection import GridSearchCV\n",
        "from sklearn.preprocessing import PolynomialFeatures\n",
        "from sklearn.pipeline import make_pipeline\n",
        "from sklearn.linear_model import LinearRegression\n",
        "\n",
        "top_countries_climate = df_merged_happiness.sort_values([\"Country\", \"Year\", \"Forest Land %\"],ascending=[True, True, True])\\\n",
        "                                                              .loc(axis=0)[top_country_codes_climate]\n",
        "\n",
        "Xtrain = top_countries_climate[\"Forest Land %\"].values\n",
        "Ytrain = top_countries_climate[\"Life Ladder\"].values\n",
        "\n",
        "param_grid = {'polynomialfeatures__degree': np.arange(100),\n",
        "              'linearregression__fit_intercept': [True, False],\n",
        "              'linearregression__normalize': [True, False]}\n",
        "\n",
        "model = make_pipeline(PolynomialFeatures(), LinearRegression())\n",
        "grid = GridSearchCV(model, param_grid, cv=5)\n",
        "grid.fit(Xtrain[:, np.newaxis], Ytrain);\n",
        "grid.best_params_"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'linearregression__fit_intercept': True,\n",
              " 'linearregression__normalize': True,\n",
              " 'polynomialfeatures__degree': 0}"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PPWCYxNAJ6vk"
      },
      "source": [
        "#### Create a model, with the best parameters found in the above code, to capture the relationship between happiness and deforestation"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "2U4i5eNl_I5q",
        "outputId": "ea199024-27ef-4977-9820-252466f16b6a"
      },
      "source": [
        "from sklearn.preprocessing import PolynomialFeatures\n",
        "from sklearn.pipeline import make_pipeline\n",
        "\n",
        "polymodel = make_pipeline(PolynomialFeatures(0), LinearRegression(fit_intercept=True))\n",
        "\n",
        "top_countries_climate.plot.scatter(x=\"Forest Land %\", y=\"Life Ladder\",c='black')\n",
        "\n",
        "X = top_countries_climate[\"Forest Land %\"].values\n",
        "Y = top_countries_climate[\"Life Ladder\"].values\n",
        "\n",
        "polymodel.fit(X[:, np.newaxis], Y)\n",
        "\n",
        "xfit = np.linspace(min(X), max(X), 1000)\n",
        "yfit = polymodel.predict(xfit[:, np.newaxis])\n",
        "\n",
        "axes = plt.gca()\n",
        "\n",
        "plt.scatter(X, Y, c='black')\n",
        "plt.plot(xfit, yfit, c='red')"
      ],
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7fbc94111e50>]"
            ]
          },
          "metadata": {},
          "execution_count": 63
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    }
  ]
}