Day_28_Machine_Learning_Clustering_Project2_Part1.ipynb

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      "cell_type": "code",
      "source": [
        "!pip install squarify"
      ],
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        },
        "id": "wp6CUDSePRej",
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      "execution_count": 3,
      "outputs": [
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          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting squarify\n",
            "  Downloading squarify-0.4.3-py3-none-any.whl (4.3 kB)\n",
            "Installing collected packages: squarify\n",
            "Successfully installed squarify-0.4.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "ednQ6J6cNEXK"
      },
      "outputs": [],
      "source": [
        "import seaborn as sns\n",
        "from matplotlib import pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "from matplotlib.colors import rgb2hex\n",
        "import matplotlib.cm as cm\n",
        "import plotly.express as px\n",
        "import plotly.graph_objects as go\n",
        "import squarify\n",
        "from plotly.offline import init_notebook_mode,iplot\n",
        "from wordcloud import WordCloud\n",
        "import numpy as np \n",
        "from scipy import stats\n",
        "from PIL import Image\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.preprocessing import MultiLabelBinarizer\n",
        "from sklearn.cluster import KMeans\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "import matplotlib.colors \n",
        "from collections import Counter\n",
        "cmap2 = cm.get_cmap('twilight',13)\n",
        "colors1= []\n",
        "for i in range(cmap2.N):\n",
        "    rgb= cmap2(i)[:4]\n",
        "    colors1.append(rgb2hex(rgb))\n",
        "\n",
        "# Set style\n",
        "sns.set(style='whitegrid')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Load the data"
      ],
      "metadata": {
        "id": "TsK8vmThNRpt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('https://github.com/raw/thunderstroke325/60-Days-of-Data-Science-and-ML/main/datasets/marketing_campaign.csv', low_memory = False, sep='\\t')\n",
        "df.head()"
      ],
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          "height": 300
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        "id": "K8-F7INFNRk2",
        "outputId": "cff12dfd-8fb1-43b3-fafa-5ff679cf729f"
      },
      "execution_count": 5,
      "outputs": [
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          "output_type": "execute_result",
          "data": {
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              "     ID  Year_Birth   Education Marital_Status   Income  Kidhome  Teenhome  \\\n",
              "0  5524        1957  Graduation         Single  58138.0        0         0   \n",
              "1  2174        1954  Graduation         Single  46344.0        1         1   \n",
              "2  4141        1965  Graduation       Together  71613.0        0         0   \n",
              "3  6182        1984  Graduation       Together  26646.0        1         0   \n",
              "4  5324        1981         PhD        Married  58293.0        1         0   \n",
              "\n",
              "  Dt_Customer  Recency  MntWines  ...  NumWebVisitsMonth  AcceptedCmp3  \\\n",
              "0  04-09-2012       58       635  ...                  7             0   \n",
              "1  08-03-2014       38        11  ...                  5             0   \n",
              "2  21-08-2013       26       426  ...                  4             0   \n",
              "3  10-02-2014       26        11  ...                  6             0   \n",
              "4  19-01-2014       94       173  ...                  5             0   \n",
              "\n",
              "   AcceptedCmp4  AcceptedCmp5  AcceptedCmp1  AcceptedCmp2  Complain  \\\n",
              "0             0             0             0             0         0   \n",
              "1             0             0             0             0         0   \n",
              "2             0             0             0             0         0   \n",
              "3             0             0             0             0         0   \n",
              "4             0             0             0             0         0   \n",
              "\n",
              "   Z_CostContact  Z_Revenue  Response  \n",
              "0              3         11         1  \n",
              "1              3         11         0  \n",
              "2              3         11         0  \n",
              "3              3         11         0  \n",
              "4              3         11         0  \n",
              "\n",
              "[5 rows x 29 columns]"
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          "metadata": {},
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      "cell_type": "code",
      "source": [
        "# Get to know your data\n",
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n7PoCeIZNRii",
        "outputId": "88af17be-a15a-43ff-bfc7-84f5a75ce806"
      },
      "execution_count": 6,
      "outputs": [
        {
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          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 2240 entries, 0 to 2239\n",
            "Data columns (total 29 columns):\n",
            " #   Column               Non-Null Count  Dtype  \n",
            "---  ------               --------------  -----  \n",
            " 0   ID                   2240 non-null   int64  \n",
            " 1   Year_Birth           2240 non-null   int64  \n",
            " 2   Education            2240 non-null   object \n",
            " 3   Marital_Status       2240 non-null   object \n",
            " 4   Income               2216 non-null   float64\n",
            " 5   Kidhome              2240 non-null   int64  \n",
            " 6   Teenhome             2240 non-null   int64  \n",
            " 7   Dt_Customer          2240 non-null   object \n",
            " 8   Recency              2240 non-null   int64  \n",
            " 9   MntWines             2240 non-null   int64  \n",
            " 10  MntFruits            2240 non-null   int64  \n",
            " 11  MntMeatProducts      2240 non-null   int64  \n",
            " 12  MntFishProducts      2240 non-null   int64  \n",
            " 13  MntSweetProducts     2240 non-null   int64  \n",
            " 14  MntGoldProds         2240 non-null   int64  \n",
            " 15  NumDealsPurchases    2240 non-null   int64  \n",
            " 16  NumWebPurchases      2240 non-null   int64  \n",
            " 17  NumCatalogPurchases  2240 non-null   int64  \n",
            " 18  NumStorePurchases    2240 non-null   int64  \n",
            " 19  NumWebVisitsMonth    2240 non-null   int64  \n",
            " 20  AcceptedCmp3         2240 non-null   int64  \n",
            " 21  AcceptedCmp4         2240 non-null   int64  \n",
            " 22  AcceptedCmp5         2240 non-null   int64  \n",
            " 23  AcceptedCmp1         2240 non-null   int64  \n",
            " 24  AcceptedCmp2         2240 non-null   int64  \n",
            " 25  Complain             2240 non-null   int64  \n",
            " 26  Z_CostContact        2240 non-null   int64  \n",
            " 27  Z_Revenue            2240 non-null   int64  \n",
            " 28  Response             2240 non-null   int64  \n",
            "dtypes: float64(1), int64(25), object(3)\n",
            "memory usage: 507.6+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Find missing Values\n",
        "df.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ADv_ubnGNRgG",
        "outputId": "87cbf69a-af5d-4cfa-b20b-307e1531e524"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ID                      0\n",
              "Year_Birth              0\n",
              "Education               0\n",
              "Marital_Status          0\n",
              "Income                 24\n",
              "Kidhome                 0\n",
              "Teenhome                0\n",
              "Dt_Customer             0\n",
              "Recency                 0\n",
              "MntWines                0\n",
              "MntFruits               0\n",
              "MntMeatProducts         0\n",
              "MntFishProducts         0\n",
              "MntSweetProducts        0\n",
              "MntGoldProds            0\n",
              "NumDealsPurchases       0\n",
              "NumWebPurchases         0\n",
              "NumCatalogPurchases     0\n",
              "NumStorePurchases       0\n",
              "NumWebVisitsMonth       0\n",
              "AcceptedCmp3            0\n",
              "AcceptedCmp4            0\n",
              "AcceptedCmp5            0\n",
              "AcceptedCmp1            0\n",
              "AcceptedCmp2            0\n",
              "Complain                0\n",
              "Z_CostContact           0\n",
              "Z_Revenue               0\n",
              "Response                0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Statistical Analysis of your data\n",
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "ez-yl-rwNRdu",
        "outputId": "6345869e-3103-487c-9f30-c2b0b8ed2fd8"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 ID   Year_Birth         Income      Kidhome     Teenhome  \\\n",
              "count   2240.000000  2240.000000    2216.000000  2240.000000  2240.000000   \n",
              "mean    5592.159821  1968.805804   52247.251354     0.444196     0.506250   \n",
              "std     3246.662198    11.984069   25173.076661     0.538398     0.544538   \n",
              "min        0.000000  1893.000000    1730.000000     0.000000     0.000000   \n",
              "25%     2828.250000  1959.000000   35303.000000     0.000000     0.000000   \n",
              "50%     5458.500000  1970.000000   51381.500000     0.000000     0.000000   \n",
              "75%     8427.750000  1977.000000   68522.000000     1.000000     1.000000   \n",
              "max    11191.000000  1996.000000  666666.000000     2.000000     2.000000   \n",
              "\n",
              "           Recency     MntWines    MntFruits  MntMeatProducts  \\\n",
              "count  2240.000000  2240.000000  2240.000000      2240.000000   \n",
              "mean     49.109375   303.935714    26.302232       166.950000   \n",
              "std      28.962453   336.597393    39.773434       225.715373   \n",
              "min       0.000000     0.000000     0.000000         0.000000   \n",
              "25%      24.000000    23.750000     1.000000        16.000000   \n",
              "50%      49.000000   173.500000     8.000000        67.000000   \n",
              "75%      74.000000   504.250000    33.000000       232.000000   \n",
              "max      99.000000  1493.000000   199.000000      1725.000000   \n",
              "\n",
              "       MntFishProducts  ...  NumWebVisitsMonth  AcceptedCmp3  AcceptedCmp4  \\\n",
              "count      2240.000000  ...        2240.000000   2240.000000   2240.000000   \n",
              "mean         37.525446  ...           5.316518      0.072768      0.074554   \n",
              "std          54.628979  ...           2.426645      0.259813      0.262728   \n",
              "min           0.000000  ...           0.000000      0.000000      0.000000   \n",
              "25%           3.000000  ...           3.000000      0.000000      0.000000   \n",
              "50%          12.000000  ...           6.000000      0.000000      0.000000   \n",
              "75%          50.000000  ...           7.000000      0.000000      0.000000   \n",
              "max         259.000000  ...          20.000000      1.000000      1.000000   \n",
              "\n",
              "       AcceptedCmp5  AcceptedCmp1  AcceptedCmp2     Complain  Z_CostContact  \\\n",
              "count   2240.000000   2240.000000   2240.000000  2240.000000         2240.0   \n",
              "mean       0.072768      0.064286      0.013393     0.009375            3.0   \n",
              "std        0.259813      0.245316      0.114976     0.096391            0.0   \n",
              "min        0.000000      0.000000      0.000000     0.000000            3.0   \n",
              "25%        0.000000      0.000000      0.000000     0.000000            3.0   \n",
              "50%        0.000000      0.000000      0.000000     0.000000            3.0   \n",
              "75%        0.000000      0.000000      0.000000     0.000000            3.0   \n",
              "max        1.000000      1.000000      1.000000     1.000000            3.0   \n",
              "\n",
              "       Z_Revenue     Response  \n",
              "count     2240.0  2240.000000  \n",
              "mean        11.0     0.149107  \n",
              "std          0.0     0.356274  \n",
              "min         11.0     0.000000  \n",
              "25%         11.0     0.000000  \n",
              "50%         11.0     0.000000  \n",
              "75%         11.0     0.000000  \n",
              "max         11.0     1.000000  \n",
              "\n",
              "[8 rows x 26 columns]"
            ],
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              "\n",
              "  <div id=\"df-54f6ebb1-5825-4df8-b0aa-27ce62fb66a5\">\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Year_Birth</th>\n",
              "      <th>Income</th>\n",
              "      <th>Kidhome</th>\n",
              "      <th>Teenhome</th>\n",
              "      <th>Recency</th>\n",
              "      <th>MntWines</th>\n",
              "      <th>MntFruits</th>\n",
              "      <th>MntMeatProducts</th>\n",
              "      <th>MntFishProducts</th>\n",
              "      <th>...</th>\n",
              "      <th>NumWebVisitsMonth</th>\n",
              "      <th>AcceptedCmp3</th>\n",
              "      <th>AcceptedCmp4</th>\n",
              "      <th>AcceptedCmp5</th>\n",
              "      <th>AcceptedCmp1</th>\n",
              "      <th>AcceptedCmp2</th>\n",
              "      <th>Complain</th>\n",
              "      <th>Z_CostContact</th>\n",
              "      <th>Z_Revenue</th>\n",
              "      <th>Response</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2216.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.000000</td>\n",
              "      <td>2240.0</td>\n",
              "      <td>2240.0</td>\n",
              "      <td>2240.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>5592.159821</td>\n",
              "      <td>1968.805804</td>\n",
              "      <td>52247.251354</td>\n",
              "      <td>0.444196</td>\n",
              "      <td>0.506250</td>\n",
              "      <td>49.109375</td>\n",
              "      <td>303.935714</td>\n",
              "      <td>26.302232</td>\n",
              "      <td>166.950000</td>\n",
              "      <td>37.525446</td>\n",
              "      <td>...</td>\n",
              "      <td>5.316518</td>\n",
              "      <td>0.072768</td>\n",
              "      <td>0.074554</td>\n",
              "      <td>0.072768</td>\n",
              "      <td>0.064286</td>\n",
              "      <td>0.013393</td>\n",
              "      <td>0.009375</td>\n",
              "      <td>3.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.149107</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3246.662198</td>\n",
              "      <td>11.984069</td>\n",
              "      <td>25173.076661</td>\n",
              "      <td>0.538398</td>\n",
              "      <td>0.544538</td>\n",
              "      <td>28.962453</td>\n",
              "      <td>336.597393</td>\n",
              "      <td>39.773434</td>\n",
              "      <td>225.715373</td>\n",
              "      <td>54.628979</td>\n",
              "      <td>...</td>\n",
              "      <td>2.426645</td>\n",
              "      <td>0.259813</td>\n",
              "      <td>0.262728</td>\n",
              "      <td>0.259813</td>\n",
              "      <td>0.245316</td>\n",
              "      <td>0.114976</td>\n",
              "      <td>0.096391</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.356274</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>1893.000000</td>\n",
              "      <td>1730.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2828.250000</td>\n",
              "      <td>1959.000000</td>\n",
              "      <td>35303.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>24.000000</td>\n",
              "      <td>23.750000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>5458.500000</td>\n",
              "      <td>1970.000000</td>\n",
              "      <td>51381.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>49.000000</td>\n",
              "      <td>173.500000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>67.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>8427.750000</td>\n",
              "      <td>1977.000000</td>\n",
              "      <td>68522.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>74.000000</td>\n",
              "      <td>504.250000</td>\n",
              "      <td>33.000000</td>\n",
              "      <td>232.000000</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>11191.000000</td>\n",
              "      <td>1996.000000</td>\n",
              "      <td>666666.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>99.000000</td>\n",
              "      <td>1493.000000</td>\n",
              "      <td>199.000000</td>\n",
              "      <td>1725.000000</td>\n",
              "      <td>259.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 26 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-54f6ebb1-5825-4df8-b0aa-27ce62fb66a5')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "      display:flex;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-54f6ebb1-5825-4df8-b0aa-27ce62fb66a5 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-54f6ebb1-5825-4df8-b0aa-27ce62fb66a5');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Fill missing data in the income column with mean\n",
        "df['Income'].fillna((df['Income'].mean()),inplace=True)\n",
        "\n",
        "# Again Check for missing values\n",
        "df.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LsX3KcUXNRUd",
        "outputId": "e194e5e4-0f07-48a2-b404-2f260066059d"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ID                     0\n",
              "Year_Birth             0\n",
              "Education              0\n",
              "Marital_Status         0\n",
              "Income                 0\n",
              "Kidhome                0\n",
              "Teenhome               0\n",
              "Dt_Customer            0\n",
              "Recency                0\n",
              "MntWines               0\n",
              "MntFruits              0\n",
              "MntMeatProducts        0\n",
              "MntFishProducts        0\n",
              "MntSweetProducts       0\n",
              "MntGoldProds           0\n",
              "NumDealsPurchases      0\n",
              "NumWebPurchases        0\n",
              "NumCatalogPurchases    0\n",
              "NumStorePurchases      0\n",
              "NumWebVisitsMonth      0\n",
              "AcceptedCmp3           0\n",
              "AcceptedCmp4           0\n",
              "AcceptedCmp5           0\n",
              "AcceptedCmp1           0\n",
              "AcceptedCmp2           0\n",
              "Complain               0\n",
              "Z_CostContact          0\n",
              "Z_Revenue              0\n",
              "Response               0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Get unique values of Education Column\n",
        "df.Education.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Pfw_zuPvNRSe",
        "outputId": "afaaaab8-0da5-43b9-a78a-38fb07804cc0"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Graduation', 'PhD', 'Master', 'Basic', '2n Cycle'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Get unique values of Marital Status\n",
        "df['Marital_Status'].unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x5LqMJjGNRQC",
        "outputId": "8f355d1f-10c0-4687-cfb9-466131f05412"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Single', 'Together', 'Married', 'Divorced', 'Widow', 'Alone',\n",
              "       'Absurd', 'YOLO'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Data Visualization"
      ],
      "metadata": {
        "id": "1XNvkZgcP-kb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Visualize Customer Education Profile\n",
        "plt.figure(figsize = (10,8))\n",
        "sns.countplot(x='Education',data=df,palette=colors1, order = df['Education'].value_counts().index)\n",
        "plt.xlabel('Education Qualifications')\n",
        "plt.title(\"Customer Education Profile\")\n",
        "plt.tight_layout()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "id": "gk4YGn9gP4im",
        "outputId": "bec6aca9-8357-4d2b-990a-8dbf2c197953"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Customer's Education profile and Response rate\n",
        "plt.figure(figsize = (15,10))\n",
        "sns.barplot(x='Education',y='Response', data=df,palette=colors1, hue='Marital_Status')\n",
        "plt.xlabel('Education Qualifications')\n",
        "plt.title(\"Customer Education Profile\")\n",
        "plt.tight_layout()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 725
        },
        "id": "4Uq-7ZT0P4gn",
        "outputId": "7c6e57b4-345b-4d67-e81d-07974776613d"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Education & Response\n",
        "plt.figure(figsize=(15,6))\n",
        "plt.subplot(121)\n",
        "sns.histplot(x=\"Education\", hue=\"Response\", data=df, multiple=\"stack\", stat=\"percent\",palette='mako')\n",
        "\n",
        "plt.grid(False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "UeF1ccOYP4d7",
        "outputId": "f90d7dd8-8a7b-4356-f481-aa239d8e7a91"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Education and Income \n",
        "plt.figure(figsize=(12,10))\n",
        "sns.kdeplot(\n",
        "   data=df, x=\"Income\", hue=\"Education\", log_scale= True,\n",
        "   fill=True, common_norm=False, palette='mako',\n",
        "   alpha=.5, linewidth=0,\n",
        ")\n",
        "plt.gca().axes.get_yaxis().set_visible(False) \n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "id": "e7XVMhMNP4ba",
        "outputId": "09a982f8-16f5-416a-983a-f08aa81d085e"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ],
            "image/png": 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88kotXLhQS5cu7fbldAyBFUDfSjYwpipDhRVAn3nxxRd1yimnKAgCGWO0dOlS3XTTTbGZECARWAH0sUY2V6WosAKxVuu81Ha59957p922cuVKrVy5suTHxx57rJ588smOXV+vYkoAgL7UyIQAKVdhjdthBQDodwRWAH0p2eB4qtAYWUHQ4qsBALQTgRVAX5poYmtV1qePFQD6CYEVQF9qZs1qlgorAPQVAiuAvtRoS4BEhRUA+g2BFUBfamSkVV7Wp8IKAP2EwAqg7wRR1FSVNBtQYQWAfsIcVgB9J+V5amYwVYaWACC2vvO/7Zlp+sl3HVbT45YvXy7P8/TAAw8UBv+vXr1al156qf7zP/9TZ555Zt2f+9prr9U555yjOXPm1P3cfkGFFUDfaaZ/VaIlAEB3ve51r9ODDz5Y+Pi2227TW9/61oZf71vf+pb8Bn4RD/roACoVVgB9p5n+VUmyd6w3HBoaatEVAUDtTj31VK1evVrLli3Txo0bZVmWDjzwQEnSww8/rG9+85tyXVdhGOrcc8/ViSeeKCkXTO+66y7NnTtXQ0ND+uEPf6irr75akrRq1SrNmDFDN998s2bMmKErrrhCzz33nFzX1bHHHqtLL71UM2fO1FlnnaWDDjpITz75pHbbbTd997vf7dr3oR4EVgB9J9VkhTXasTxg/uzZLboiAKjdMccco1tuuUXJZFK33XabVqxYoaefflqStGTJEt1yyy2aOXOmRkdHtXLlSi1dulTGGN1000168MEHNW/ePGUyGc2bN09f+MIXdMstt+inP/2p5s+fL0n6/Oc/r6OPPlpf+cpXFEWRLr74Yv3yl7/UBz7wAUnSxo0bdcstt2jWrP6Jgf1zpQCwQ7MtAVJuFiuBFUA3DA0N6YQTTtDdd9+tu+++Wz/96U8LgXV8fFyf+9zntH79es2cOVPJZFIvv/yyDj30UL3pTW/SJZdcoqVLl+q4447TggULSr7+vffeq6eeeko33nijJMlxHO25556F+9/3vvf1VViVCKwA+lCzFVZJsnxf2mWXFlwNANTv1FNP1emnn66jjz5aCxcuLNz+xS9+UcuXL9e3vvUtDQ0N6b3vfa9c19XMmTN166236vHHH9ef//xnrVy5Ut/73vd00EEHTXttY4yuv/56vfGNbyz5uV/1qle17etqFw5dAegrXhjKbsFBAauPDhsAGDxvfOMb9W//9m8677zzJt2eTqf1hje8QUNDQ/rTn/6k9evXS5IymYzGx8d1zDHH6IILLtCBBx6o559/XpI0f/58ZTKZwmssX75c3/nOdxSGoaRc1Xbjxo0d+sragworgL7SiuqqpJaEXgBoxgc/+MFpt1100UX60pe+pGuvvVaHHnqoFi9eLCkXWD/96U/LcRwZY7RkyRK95z3vkSSdffbZ+shHPqJ58+bp5ptv1uc+9zl97Wtf0ymnnKKhoSHNnj1bn/vc58pWXPvBkDGm5DhD13W1du1aHXLIIZo7d27dL/zYY4/pyCOPbPoCgbji31BpLyVTunfTpqZfZ/HC3fWPe+/dgitCr+LfECTp2Wef1cEHH9zty+hL2Wy2cJCrlUr9TKrlTloCAPSV1lVYw5a8DgCg/QisAPpKqwKrxXpWAOgbBFYAfYUeVgCIHwIrgL7SypaAMi38AIAeQ2AF0DeCKGpZZTQyRk5IHysA9AMCK4C+kfI8tbImSlsAAPQH5rAC6ButagfIs4JAi1r6igB63feefqYtr/uvb11S0+OWL1+uOXPmaO7cuXJdV0cddZS+8IUvaHYDq6JPOeUU/exnP9O8efPqfm6/ocIKoG+kvNae7KfCCqAbrrnmGt1xxx26++679cILL+h//ud/GnqdO+64IxZhVaLCCqCPtKPCivokk7ZeXj+qhbu/Sq/fczfNncv/GwEa5bquXNfVrrvuqocffljf/OY35bquwjDUueeeqxNPPFGS9K1vfUt33XWX5s6dq6GhIf3whz/UrrvuqsWLF+vxxx/X/Pnz9eKLL+orX/mKRkZGJOW2X5166qnd/PJaiv/SAOgbrQ6sDssDamaM0ZpHX9Fzz2+TiXKdxLvttotO+Ke3at68+t/KBOLsggsu0Ny5c7VhwwYtXbpUS5cuVTKZ1C233KKZM2dqdHRUK1eu1NKlS2WM0U033aQHH3xQ8+bNUyaTmVZVDYJA5513ni688EKdcMIJkqSJiYlufGltQ0sAgL6R9lsbWO2QCmut/vLYeq17brgQVqVctfV/7ntWvk/wB+qRbwn485//LNd1ddNNN2l8fFwXXHCBTjrpJH384x9XMpnUyy+/rFe/+tV605vepEsuuUS33nqrLMvSrFmT640vv/yygiAohFVJWrhwYae/rLYisALoC6ExyvitDZhUWGuz7m/Dembd1pL3jY1l9fj/bejwFQGDYe7cuTruuOP00EMP6Ytf/KKOOeYY3Xnnnbrjjjv0+te/Xq7raubMmbr11lt15plnanh4WCtXrtS6deu6fekdR2AF0BcyntfyQf8cuqouk3H0l8fWV3zM8y9ul+2w6haoVxRF+stf/qL99ttP6XRab3jDGzQ0NKQ//elPWr8+9+8uk8lofHxcxxxzjC644AIdeOCBev755ye9zv77769Zs2bpnnvuKdw2aC0B9LAC6Aspv/WByKEloKpHn9igMIwqPiYIIj2zbquOPPxNHboqoL/le1h939db3vIWnX/++Vq7dq2+9KUv6dprr9Whhx6qxYsXS8oF1k9/+tNyHEfGGC1ZskTvec97Jr3erFmzdP311+uyyy7T9ddfr6GhIZ199tlasWJFN768tiCwAugLrT5wJeXWs6K84W0pvbJ+rKbHPve3YR361r01Zzb/bwW9rdZ5qe1y7733lrz9H/7hH/S73/2u5H0///nPS97+3HPPFf58wAEH6Ac/+EHzF9ijaAkA0BfaEVgjY+SynrWsx56o3ApQzPNCvfDiSBuvBkCcEVgB9IV0i5cG5Dn0sZa0fSStkdFMXc/ZsHG8TVcDIO4IrAD6QjsqrJJkU2EtqdxUgEq2jaTluvwCAKD1CKwAep4xRuk2BVYqrNNlLVfrG6iWmsho4+bBOpkMoDcQWAH0PCsIFLZ4pFUeB6+mm7ogoB60BQBoBwIrgJ7XrnYAiW1XU0WR0QsvNX54astwsuoYLACoF4EVQM9rZ2ClJWCy4W1J2XbjB9wCP9SWrckWXhEAMIcVQB9ItjOwcuhqkpdrnLtayfD2lN64z2DtMcfg+P3Is2153XfvcXDVx0xMTOiSSy7Rhg0bNGfOHO2777667LLLtGjRoro/3x//+Eddd911Gh8f14IFC7THHnvos5/9bGHhQD1Wr16t+++/X9dcc03dz+0UAiuAnpdq00grSXLoYS0Iw6glPajbR9ItuBpg8AwNDelf//Vfdeyxx0qSrrzySl111VW6/PLL63qdBx98UJ///Od13XXX6dBDD5UkPfvssxoZGWkosPYDWgIA9Ly2tgRQYS3YvDXRkrFU4+NZ+liBEnbfffdCWJWkww8/XFu2bJEkbdq0Sccee6yuvvpqrVixQu9973v16KOPlnyd6667Tuedd14hrErSwQcfrKVLl+p73/uevvSlLxVuHx0d1dvf/nbZti3P83TllVfqpJNO0sknn6zzzz+/5OvfdtttOv300/WhD31IH/nIR/TSSy+14stvCoEVQM9r10grSXI5dFVQ6xrWasIw0th4tiWvBQyqKIr0k5/8RMuXLy/clkgkdPjhh+v222/X+eefr6uuuqrkc5955hkddthhJe97//vfr9/97nfKZnP/Bn/2s5/ppJNO0i677KLvfOc72rhxo1avXq1f/epX+vKXvzzt+Y8++qjuuece/fjHP9Ytt9yij3/84/rc5z7Xgq+4OQRWAD3NDgL5UfuqdS6VQEm56QCbtyRa9nojo7QFAJV8+ctf1qte9SqdeeaZhdte9apX6Z3vfKekXPV148aNdb/u7rvvruXLl+uOO+5QEAT6+c9/rg996EOSpPvuu08f/ehHNWfOHEkq2Tt77733at26dTr99NO1atUqff3rX9fw8HAjX2JL0cMKoKe1sx1AkoIokh9Fmj0j3r+/j4y2dkvV9pG03lr9DAoQS1deeaXWr1+vG264QTOK/tuTD5KSNGPGDAVlppgsWbJETz31lA4+uPQ/sjPPPFMXX3yxXvOa1+iAAw7QfvvtV/O1GWN02mmn6TOf+Yyy2azmz59f83PbKd7/hQbQ89odWCVGW0lqaXVVkkZGMy19PWBQfOMb39DatWt13XXXTQqo9fjUpz6l66+/Xk8//XThtnXr1unBBx+UJC1evFi77767Lr/88kJ1VZLe+c536gc/+IG8Hf9dHR+ffsgyX53NV1XDMNTatWsbus5WosIKoKe1c6RVnhOGenXbP0tv27y1tYHVsjxlMo4WLJjX0tcF+tnzzz+vb3/729pvv/20atUqSdI+++yj6667rq7Xecc73qHLLrtMl112mRKJhGbNmqV99tlHF110UeExp59+uq6++upCi4EkffKTn9TXv/51rVixQrNnz9a+++47bZTV0UcfrQsvvFCf+tSn5Pu+wjDU8ccfr0MOOaSJr7x5BFYAPa0jFdaYTwqwHV/jbTgktX0kQ2BFz6llXmq7vOUtb9Fzzz1X8r599tlHa9asKfvxVMuWLdOyZcvK3r9mzRp9+MMfntZycOmll+rSSy+d9NiVK1dq5cqVhY9PPvlknXzyybQEAECtOhFY3ZjPYt2yNSFjWv+64xNMCgA6bdu2bXrve9+r9evX68Mf/nC3L6dlqLAC6GntXBqQ58R8tFW7VqlOJK22vC6A8vbcc0/99re/7fZltBwVVgA9yw4CeR14uz7uLQFbh9sUWCcIrABag8AKoGd1oh1Aivd61nTakWW15/tsWZ48L97Va/QG046eFzSk0Z8FgRVAz+pYYI1xhXXbSHsH/I9TZUWXzZs3T2NjY4TWHmCM0djYmObNq/8wJj2sAHpWwu1MYI3zetbtI6m2vn4iaen1e+7a1s8BVLLPPvto06ZNGhkZ6fal9B3P8xqeFVvOvHnztM8++9T9PAIrgJ7ViRmskuTGucK6vb0VVvpY0W2zZ8/W/vvv3+3L6EuPPfaYDjvssG5fhiRaAgD0sJTnduTzxDWwOo6vVMpu6+dgUgCAViCwAuhJxpiOjLSS4nvoavtoui3zV4slEgRWAM0jsALoSdkgUBBFHflcoTEd+1y9ZHub2wEkyfNCZbKdqZQDGFwEVgA9KeF2NuTEsS1g+2j7A6tEHyuA5hFYAfSkTo20yovbaKsoMhof78zq1AR9rACaRGAF0JOosLZXImkpCDrTBpHOOB35PAAGF4EVQE/q1AzWvLgF1k5VVyUplSKwAmgOgRVAT0p2aKRVXtwmBYx2MrCmCawAmkNgBdBzvDBU1u/s9qm4VVjHxjId+1y27SmI2S8EAFqLwAqg5yQ6fOBKildgjSKjiQ7ORzWGKiuA5hBYAfScZIcPXEmSE3a2ottNnTxwlZcmsAJoAoEVQM/p9IErSXLD+CwOGOtg/2oeFVYAzSCwAug5nR5pJcWrJYDACqDfEFgB9JwJAmtbdSWwMtoKQBMIrAB6ShBFSnPoqm2M6eyBqzyWBwBoxqxuXwAAFJtwXZkufN64BNZMxlXgt+drjcJQz/31r4rCUENDQ9rrjW/Uwj32kCRZliffDzV79sy2fG4Ag43ACqCndKMdQJIiY+RHkWbPGOw3ntpZXR0ZHlZqYqLw8dCMGYXAKuUmBSxaNL9tnx/A4Brs/zID6DsTTncCqxSPKmu7AquJIg1v3DDptnRiQq5tFz5O0RYAoEEEVgA9pRsTAvI8AmvDxrZvl2NPDqTGSKPbthU+ZhYrgEYRWAH0lDGne6GGCmtjjDHaumFDyftGh7fKmFxXcibbvV9GAPQ3AiuAnmEHgaygexunBj2whmHUlnmoidFRWdnSo7Ic21E6kZBEYAXQOAIrgJ7RzeqqNPiBNZG0ZKLWz2DYurF0dTVvZHhYkpTNdn5cGYDBQGAF0DO6H1gHez3rRMKu/qA6ea6rTCpV+fOOjCgMAiqsABpGYAXQM7o5IUAa/AprO/pXUxMTMmmGyocAACAASURBVFWKtmEYKjE2psAP5brda/kA0L8IrAB6RvcrrIMdWBNtCKzJ8fGaHmdlMpKkTJZJAQDqR2AF0BOCKFKiCytZiw16YG11hdUYo+REjYF1x6Es+lgBNILACqAnjDpOYfxRtwxyYPX8QJbV2rBoZTLyPb/mx0pMCgDQGAIrgJ4warf+QFC9vGhwA2sy2fq34mttB5Byh7MC31cmQ2AFUD8CK4CeMGJ3v7dxkCusyVTrfyGoJ7BKuSorFVYAjSCwAugJvVBhHeSxVslka/tXwyBQJpWs6zlWNktgBdAQAiuArnPDUKkuH7iSJD8Mu95H2y7JVGsr2KlEQlGdSwjsbFZZAiuABhBYAXTddstSL8REI8mNBrPKmmhxhbXedgAp1xLguoF8f3BbLwC0B4EVQNcNW91vB8jzBrCPNQwjpVt82KmRwGpnszLGKGtRZQVQHwIrgK7bZrV+oH2jBjGwptKOTJ1v31fiua6cBnqOwzCUa9tMCgBQNwIrgK4KjdFolzdcFRvESQGtnhCQTaUafq5FHyuABszq9gUAiLdR21bQQ32jXg9dS6skko0F1ozjKWG5coNQc2bN1G67zNWuu8xRupnAmsko2+IFBgAGH4EVQFdt3rGys1cMYktAss7A6viBNoymlHYmB8vtyaxes2AXZZOJhq/FzmZbvnELwOAjsALoqq09FlidQQysdbQEjGVsbRhNKzKlK82jaUsjW0a0cP4cDWmo7muxMhlZNoEVQH3oYQXQNUEUaVsPTQiQJG/AlgcYY5RK19YjvGUio1dGkmXDqiT5tiXX95VqsErqOrZSqd45ZAegPxBYAXTNVstS1GOD+r1osCqslu0pqGHu6caxtLYmMlUf52Zzj7E8X7Yf1H09xkhjo423FACIJwIrgK7ZmE53+xKmGbQKay39q5vG09qeqq01w7N2Pi5tuzINrHxIJVIsDwBQFwIrgK5Zn65e0eu0QRtrVa0dYGsio23J2vuIPWvnzyyMjCzXr/uaXMehjxVAXQisALpizHGU9esPO+02aFMCUqnygXU0bWnLRO2/NIS+r8CdPEM17fh1t3V4jsOkAAB1IbAC6Ir1qd5rB5Akd8B6WJPp0i0BScvVhtH6fgbF1dU8Y4xsr75fPFzXpcIKoC4EVgBd8WIq2e1LKGnQWgJK9bBanq+XR5J1958W969Oej23vsNXVFgB1IvACqDjRm1bSbc3A8sgHboKw2jaVik/jPTitoTCBjZ65ScETBVEkdyg9tDquS7rWQHUhcAKoONeTDa+2rPdImN6alVsM9IZRybaWUWNjNFL2xPygvqryMaYshVWqb4qaxRFmqijdxYACKwAOiqIIj2f6O05nIPSFjD1wNWm8bQyTmOV7cCxZSoEeccP6jp8lZjo3V9aAPQeAiuAjnolle759aeDEliLV7KOZWyNNLFhyrOrP9epY5HABIEVQB0IrAA66pmJ8W5fQlXegLQEJHdUWG0/qHsiwFSV2gHyHK/2wJpKZmR6bMsZgN5FYAXQMVuzWW23qm9e6rZBmcWaStuKjNHL2xOKTHMhvJbA6gZhzW0BruPKtntvDi+A3kRgBdAxT42OdfsSajIokwJSKUebxzOy66h8lmKMke/U9ouGW2NbgMe2KwB1ILAC6IhtlqWNmf44GT4IywM8L9D2iay2N9G3mudXOXBVzK41sLrMYgVQOwIrgI54dPv2bl9CzQahJWA8YWnDaEqqczlAKX4N7QB5nh/VtJDAddh2BaB2BFYAbbc+ndbWbPOVvk4ZhJaANes21zXMv5JaJgTkGRn5QfXvX+B7SpdZGwsAUxFYAbRVaIweGd7W7cuoi9fnLQHjGUdrX2pdRbuWA1fF3BoWExgjTUw0N7kAQHwQWAG01dNj40p6/fXWr9vnFdY/P79FTovebjdRJN+urxJa68GrxDiBFUBtCKwA2sYKAj0xMtLty6hbP/ewbhxLa9N4Wq7TmpFRvmPL1DkSyw+jmsZbJXt4RS+A3kJgBdA2f9m2TX4fDuHv15YAY4zWvLBFkuS1aMZpPf2rxWppC0gm+mNqBIDuI7ACaIsR29YLiWS3L6Mh/Xro6sVtCY1nHAV+qLBFX0O9/auF5/nVA2smnWXbFYCaEFgBtMUj27a3YKBSd/RjS4AxRk+8kjto5bZwg5TfYIW1lu+hYzty3dZMMgAw2AisAFpuUyajrdnGKnO9wO3DNoaXtic1kXUktS6w5g5cNRZYgxr6WD3Hkd2iXlsAg43ACqDlnhgZ7fYlNMUY03dV1v9bv3OMldfSA1eN18n9Kn2snuvKZnkAgBoQWAG01LBlaZvVP0sCyvH6qMq6eTyjsaIh/K0KrI0euCo8v0ofbRiGSnDwCkANCKwAWuqvo2PdvoSW6KcK69ObJle0W9US0OiBq8Lza5gUMD7GaCsA1RFYAbRM1ve1ITMYFTO3TwJryna1fnRn6DPGyHNac5Cp0f7VwvODUKpy9G5igsAKoDoCK4CWeW4iMTBjivplfuwzm8Ymfc99L1TUgmtv5sBV4TWUWyJQSYL1rABqQGAF0DLPJxPdvoSW6YdZrGEU6W/DE5Nuc1t0iKnZA1d5XlD5+5hO9+80CQCdQ2AF0BLbLUtpb3BGFLl9sO1q/WhKjjf57X/Pbk07QLMHrvL8Kq0VmXT/H9AD0H4EVgAt8eKA7YXvh0NXf9syMe02t1UTApo8cJVXrSUgm7Er3g8AEoEVQAsYY/RyatACa2+3BGRdX5vGp/d/tmpCQLP9q3lBGMlUOHhlZS1F0WD0PQNoHwIrgKaNOY6sYLBWbHo93hLwwvBEyU1SrZjB2ooDV8X8Cn2svufLYdsVgCoIrACaNiijrIr1eoX1hW3TD7hFUWtGWrXqwFXh9Sp8LwPfk+2w7QpAZQRWAE3bmB7AwNrDFdZE1pm02SovV11twcn+FlZXpcoHr8IwUirJwSsAlRFYATTFCUON2oN3cKaXK6wvlqiuSpLXqv7VFh24KrxetVmsrGcFUAWBFUBThrPZFtT0ek8vTwl4aXuy5O0tmxDQ4gprtYNXiQTLAwBURmAF0JSt2cF8O7dX57COZWxNZJ2S97ViQkDuwFXrK+ZBhSprKjWYf4cAtA6BFUBTtrb47eNeUe1t7G55pUx1VWpNYM0duGr9117p+5lODebfIQCtQ2AF0DAnDDXhuN2+jLYIjVEQ9V5ofWW0/LzbVoy0atXCgKkqVVhZzwqgGgIrgIaNWNZA9q/meT0WWNO2V3I6gCQFfqjAb76NoV2BtVKFlW1XAKohsAJo2PYBnA5QrNcOXr0y2t52AKk7FVYCK4BqCKwAGkZg7az1I+XbAVoRWKMolO+WPtDV9GsbU3IzlyRZ1mD/PQLQPAIrgIYYYzRityfc9Aq3h1oCHD/QcKJ89dO1m98W5VuW1MINV9Nev0yV1XNcue5grfYF0FoEVgANSXpez1UgW62Xvr7N45myFUqpNRVWz27v4aegzPfT9z05LZohC2AwEVgBNGR0wKurkuT3UIV1w1j5dgCpRYG1zSPKyvWxhkGobJnZsgAgEVgBNGjUGfy+Q7dHKqzGGG0aK78NKooieU7zb6l7VnsH+FeaFMC2KwCVEFgBNGRsQOevFvN6ZHnASNqW7ZUPpK4dSE0OGIvCQEGbDlzlBaFRuetMJjJt/dwA+huBFUBDxp3BfwvX75H1rJWqq5LkteDAVburq5JkZBRGZQIr264AVEBgBVC3jO/3zNvl7dQrFdbO9K92psJZbntYOtX+wAygfxFYAdRtLAbVVUlye6DC6viBRlKV+4WdlgTWzgTGXFvAdBnWswKogMAKoG5xaAeQeqPCumUiI1NlNmo/TAjIK1thTVNhBVAegRVA3RJu8z2T/aAXelg3j1d+q94YI6/JwBr6vkK/Mz/TcqOtWM8KoBICK4C6TbT5NHmvcHukwlqJ5wSKmpwX26n+Val8hTWbocIKoDwCK4C6RMYoGZMKa7c3XaVsV0mr8vgwx2r+Z+FmOxdYo8iUbHGwbadq6wOA+CKwAqhLyvMUxiRYBFHU1RBVrR1Aak1g9bKdPfBUqsrqua5ct/nlBwAGE4EVQF0S7uAvDMgzkrwurmfdXKUdQJLcJgNrrge2w4G1RKtFGASy7Pj83QJQHwIrgLpMxCiwSt1rCzDGaGsNgdXJNhdYfduS6XAoD0osDzBGStTw9QKIJwIrgLrEpX81z+9ShXUi61ZcxypJURTJa/Jt9E72r+aVmxSQSFTe6AUgvgisAOqS9OIVWLu10avadABJci2/6R7bTk4IyCs3KSCVZFIAgNIIrADqErfA2q0e1q2JwTxwJUlhmW1XqRQtAQBKI7ACqJkdBF0f9dRp3fh6jTHamqgeJJsNrKHvK/A635NsZBSZ6b8IsO0KQDkEVgA1i9OEgLxuVFjHs46cKv2rkuRYzW246kY7QF5QosrK8gAA5RBYAdQsFbN2AKk7FdZa+lel5kdadePAVV5Y4heBbDYeG9QA1I/ACqBmcetflSSvC+tZh2toB/C9QH4NVdhKutG/mldqtJWdtbtwJQD6AYEVQM1iWWGNOl9hrSWwNjt/tRsLA4qVqrBaFhVWAKURWAHULJaBtcMV1kTWqTp/VZLsTHP9xN1YGFCs1CxWh01XAMogsAKoWcpr7pBPP+r04oBapgNIkt1khdXNdHdIf1iiJcBzPfl+vKZQAKgNgRVATewgKDvwfZB1+tBVLe0AUvMV1m4H1sgYRVOWHgRBIMeJXxUfQHUEVgA1iWM7gCS5He5hHU62/8CVMaarEwLypvaxGmOUSjHaCsB0BFYANUnHsB1AkvwO9rBmHE9pu/ovBs0euPIdW1HY3ISBVig1KYDACqAUAiuAmqT8eFZYO7k4oHPtAKmmnt8qYYlfBlKp7k0uANC7CKwAahLXloAgiqb1WrZLLe0AUisOXHW/HUBSyZ7oTIZZrACmI7ACqElcWwKkzh282pas7e3wZiqsuf7V7h64yis1KSBDhRVACQRWADXJxLQlQJLcDrQFeEGoiUz1wfme29yBq8CxFQX1P98Yo1YXmksGViqsAEqY1e0LAND7QmNk+d0/pNMtfgcqrCMpq6bWg2yquW1QTh3jrIwxCkyk0ETKX9kMDWnmjBmaNdR8vSM3JcBIGirclmU9K4ASCKwAqsr4vjrTxdmbOnHwqtZ2AKvJwOrVOM4qNJH8KJz2c49kFEWhwqFIc4ZmamhoqOTzaxVGRjNn7HwNi8AKoARaAgBUlYnpgau8TvSw1johoNkKay0LA4IoklcirBaLjJFnwqbbBKa2BVhWc18fgMFEYAVQVcaP74Erqf0VVmOMRmqYPxr4oVy78Z+F79gKg8rPD6JIvqktoOdCa9BU9X3q8gCbwAqgBAIrgKrScQ+sba6wTmRduUH1z5FrB2g8HjrpyvNXQ1N7WM2LjFHYxDawqcsDbLu5GbMABhOBFUBVVFjbW2HdVuP81Wy6yQNX6WTZ+yJj5DcYPH3T+KzaqRVWz/XkxfiAH4DSCKwAqsrEeAar1P4K6/Ya15E2079qoqhs/6qRSh6wqke9ldm8qT2sYeDLdQisACYjsAKoKu4tAX6bK6y19K+GQSiniQ1XTiYtU+brCKJQUZNzICJjGqqyTq2wRpFRKs2kAACTEVgBVBQZI6uBQfODxC2x875VvCDURLZ632YmYcs0cSS/XDtAtGPWais0UmXNVVgnf13pVG+sjgXQOwisACqygqCpoDQI2tkSMJKyavr+pieaqzo6qemB1ajxt/JLiYxR2FCVdfJzUjW2SACIDwIrgIrifuBKam9LQC0LA4wxSicaD6yB6ypwp/e/hk0clionbLjKulMmTWAFMBmBFUBFWQJrWyustRy4srOegiZOzpdqBzAm17vaaqExdVfkp/axpgmsAKYgsAKoiAqr5LYh2OXVcuAqM9FcgCvVDhCY5qYCVFJvT+zUCms2w6ErAJMRWAFURIVV8tt06Cpte7K96pXTZvpXTRTJyUxeGGBaeNCqlNDUN3NgaoWV9awApiKwAqgoyxB3hcYoaEMfay3tAL4byMo0vv3JzWamjbPy2xhWpdxhrnp6Y6dVWLO0BACYjMAKoCJaAnLase1qtIZ5o4nRrJpZx2onJyZ9nDvJ397Amvs8tX+OqYHVzlJhBTAZgRVARbQE5PhtOHhVS/9qYrTxmaTGGFmJ8Um3tbMVoFg9bQHTAqvdeEUZwGAisAIoK4giOW1eS9ov3BZXWI0xVSusjuXJqWGpQDluJq2oaOmD6VB1Vcq3BdT2uYwmb8mybSqsACYjsAIoi+rqTq2usCYsV15Q+TUTI81tfOpWdTWvniUCxQevXMdT2MbtYgD6D4EVQFlxX8larNU9rCOpytVVY4ySY9mGX98YM6l/td2TAUpptI81DHy5Ln/3AOxEYAVQFhMCdmr18oBq/auZhC3PabzC7aRTk9oBOh1WpfqmBUTFgTWMlMkyixXATgRWAGVlA1oC8lpeYa2yzWlsOFXx/mrsonYAI3Wsd3WqWj/vtG1XqcarywAGD4EVQFn0sO7UygprFBmNpcsfLPIcv+llAcXtAPUO8m+lWiusU/td0zVMUAAQHwRWAGXRErCT18JDQBOWM62iWGxsOK1mZq866ZSiooBd6XO1WyQjU0NonTraKl3DjFoA8UFgBVAWh6528qLWVVjHKoSxKIw0sT3d1Otnx0YKfw5NpO7VV3dcQw2ff2qozmSosALYicAKoCxaAnZqZYW10oSAiZGMwirjrioJPFd2KlH4uFu9q8VqaQvIVVh3Pi6TocIKYCcCK4CSImNkU2EtaGWFtdzCAGOMRrckm3rtzOj2wp9za1i7W13NXUeNB6+KrjVLYAVQhMAKoCQrCLr8RnJvaVWFNYqMxsqEsdS41dQoKxNFyo6PFj7uheqqVPt4q+I+VssisALYicAKoCSLdoBJWlVhTViugjLhd3Rzc9VVKzFemL3azVFWpdTSR1s8i9VqYiUtgMFDYAVQEgeuJmtVhbVcO0A25cjKlB91VYvidoBujrIqpZa2gOIKq21TYQWwE4EVQElZAuskrVocUG5CwNjW5qqrbjYjz9o5bL+XqqtSrS0BO6/ZsamwAtiJwAqgJIsZrJMYY+S3ILSWqrB6jq/UeHNjnNLbtxb+HBlT88D+Tqmlj7X4fgIrgGIEVgAlWaxlnaYV267GSxy4GhtO1TRcvxw3m5Gd7K1RVqVUa1IobgnwPV8evzQB2IHACqAkelina7YtIGW7cqfMWA3DSOPbmlsUkNy6qfDnXjtsVaxahbU4sAZBIM/l7yCAHAIrgJJYyzpdsxXW8RKHqpKjWUVNHOhyUkm5mZ2Bt9cOWxWr2hJQ9AuBMUZpZrEC2IHACqAkKqzTNRtYSx24amYNqzFGyeHNk27r1eqqJBmZiq0PU/tcUynWswLIIbACmCaIopb0aw6aZlsCxqZUWB3Lk5VufJSVnZiYNBmgFw9bTVWt/ls8izWbJrACyCGwApiGkValNTuLdeqGq2aqq1EYKrFl46Tberm6mle1j7Xoa8jQEgBgBwIrgGnYclVaM9uuXD9U2vYKHxtjlBjJNPx6ya2bFPpFr6c+Cax1TAqghxVAHoEVwDR2QDtAKc1UWKdWVzNJW4Hf2PfZzWYmbbWScpukersZIKfa+K5J61kJrAB2ILACmIYZrKU1U2GdGlhTY431Z5oo0sTGV6bd3g/VVan6AoHiCmvWam5VLYDBQWAFMA0TAkprpsJaPNLKGNPwZqvUtq3yncnh1xijsMcPWxWrVAsuDt5WlgorgBwCK4BpCKylNTM5oTiwWmlHQQNzbt1sRqmiFax5/VJdzavUFlBcYbUt1rMCyCGwApjGJrCW1OhYK2OMJrI7A2uygXaAKAo1vuFlqUTYC/qouipVrrAW97DaNi0BAHIIrACmsdhyVVKjFdak7SkoaidopB0guWWTAnd6gIuMkemL41Y75a650n25ex2bCiuAHAIrgGmosJbW6KGr8aIDV47lyXfrO9TmpJLTpgLk9Vs7QF6ltoB8ldVxCKwAcgisACYJjZHDlquS3AYPXRX3r2YS9R0kisJQ4yWmAkj9M3u1lIoHr3YEVt/z5Tc4+gvAYCGwApiE6mp5QRQ1tPq0uH81k6wvsE5dEFCsX2avllKxwrrjvjDw5Xr8fQRAYAUwBVuuKmvk4FW+wmqMUTZV+0GiUgsCigV9Wl2VaquwhmEkO0tbAAACK4ApGGlVWb0Hr/wgVGrHSlYr7Sqqsa2g3IKAwv3GNFTt7RWVK6xFB9Qyjc2rBTBYCKwAJiGwVlZvYJ2w3EI4y9bRDpDaPjxtQUCxfq6uSpU3XhXPYs2kCawACKwApqCHtbJ6WwImMvX3r4a+p3SJBQGTHtPngVVS2XFcxbNY02m2XQEgsAKYggprZfVWWMd3HLiKwkhWurZ+zOTwFpkKwTisMMe0n5StsBbdznpWABKBFcAUBNbKGq2wWhm3Yt9mnu84yo6PVnzMIFRXpdoqrJkMgRUAgRXAFLQEVFZ/D2susNo1V1c3lVy/mmfM4ATWchXW4m1XVFgBSARWAFMQWCvz6lge4Pqhsk5uTJiVqR5Y3WxGdmKi4mNCDUZYlXIHr8pl83yVNZutfQwYgMFFYAVQYIyRHbBZqBK3jvWsxQsDaulfTQ1vrvqYQamu5pVrC8j3sTo2gRUAgRVAETcM+3q2Zyf4dVRY84HVc3wFfuXKtWdbctKpio+J+nz2ainlFgjkK6yWzeIAAARWAEU4cFWd10CFtZZ2gPT24aqPGbTqqlR+gUB+FqtjUWEFQGAFUIT+1ercOiqs+ZWs1doBQt+XnRiv+BijwQysZSusO75Wx6HCCoDACqAI/avV1TMlIGHlwla1CQGZ0W1VR15Fply062/VKqye6yms45cEAIOJwAqggJaA6mptCXC8QJbrK4oi2dnygdVEkTJjI1Vfr99XsZaTmxQwPbTme1gDP5Dr8vcSiDsCK4ACWgKqq/XQVb5/1bH8itXT7MSYoirfdzOAh62KlfqO5qcEhGEg1/M7e0EAeg6BFUABgbU6t8ZNV/l2ACfrVXxcZmRb1dca1OpqXqnRVvkKqzFSKmV1+pIA9BgCK4ACWgKqM8bIryG0JrL5wFq+HcCzsvKdypucBvWwVbGSLQHGSDuCbCZNYAXijsAKoIAKa21qOXiVbwmwK1RYs+OjVV9nUA9bFSv3FeYPXhFYARBYARQQWGvj1hBYE5YrY4wcq3RgNVEka6LyKCtp8KurUvlJAfm+3Uy2chUawOAjsAKQlAsHtQQxSF6VlgAvCJVxPHlOoKjMIS07lVAUVj9sFQ7wYau8cpMC8hXWbJrACsQdgRWApFx1dfCjUWtUawkoHLgqU12VJGt8rOrnGfTDVsVKfaX5CmuWbVdA7BFYAUiiHaAeXpXRVvkDV+Xmr4a+LzudrPgacThsVazSpACbwArEHoEVgCQCaz3cKssDEvkZrGUOXFkTY7l5TRXE4bBVsZItATtusyzWswJxR2AFIEmyWMtas2otARNVAmt2gnaAqUrF80KF1abCCsQdgRWAJCqs9ajaEmC5CvxQvjf9e+o7jny78pimaMA3W5VS6dAVLQEACKwAJEl2lRPr2Mmr0BIQRpHStifXLl1dtZOMsiolNylg8m350O7YtAQAcUdgBSCJCms93AoV1pTtKTJGjuWXvN9OTFR8bWPiGVil6Qev8i0BruOWndUKIB4IrAAkEVjr4VeosOYnBLj29MAauK68Ku0AYcwOWxWb+pUbmdwqXD+Q79NjDcQZgRWAJMnm0FXNKvWwVprBalVpBzCSAhPfn0O5SQFh4Mt1+YUKiDMCKwBJVFjrUWlKQGLHASG3REtAtXaAuI2ymqrcLNYoMqxnBWKOwApAoTFVRzVhp0pzWJPZ3ISAwJ/8C0DgufKsbMXXjdsoq6lKtanmZ7FmWM8KxBqBFYAc1rLWpVJLQNJyS/avVq+uxm+U1VSVZrFmMgRWIM4IrABk0Q5Ql8gYBdH00Jp1fblBWHKklZWsHFjj3LtabGofa7Tj+5zNVD6sBmCwEVgByCGw1s0t0UKRLBy4mlxhDX1fXjZT9rUiYwpvfcfd1CproSWACisQawRWAKxlbYBXosKanxAwtcJqpxIVXyuuc1dLmRrb8y0B2SzbroA4I7ACYEJAA0odUkvmZ7BOqbA6yfKB1RgT+8NWxaa1BOz42GI9KxBrBFYArGVtQKmWgITlKAwi+d7O76eJIjmZVNnXIaxONnW0VbijwmpRYQVijcAKgAprA0pNCkha3rQJAU46JVOifUDKVRNpB5hs6qSE3MdGtk1gBeKMwAqALVcNmDqLNQgjpR1PrjM5sFbqXw1iviigFKMSfaxGsmkJAGKNwAqACmsDpvawpmxPxhh5RRVWY4ycMoGV6mp500dbGTm226WrAdALCKwACKwNmNoSkB9pVVxh9W1LoT99iYBEdbWSaX2sJpLtEFiBOCOwAjHHWtbGTD10lQ+sxRVWu8x0AKqrlU0dSRtFRr7rKaywYQzAYCOwAjHHWtbGeFN6WJP29ApruXYAqquVTa2wRsYo8AN5Hu8EAHFFYAVijnaAxrglWgJ8L1C04/bQ9+TZ09eJMne1umnbriKjMAzkuvxdBeKKwArEHIG1MVPbKBKWO2mklZ1KlnyeT1itqtTyAGOkVHr6LwAA4oHACsQca1kbU9wS4PiBHC+QN6kdYHpgjehdrcnU0Vb59ayZtN2V6wHQfQRWIOYctlw1pLgloDAhYEeF1USR3BLbrXzDLwe1Kq6yhjv+nMlQYQXiisAKxJxFS0BD/DAshKqk5UnaGVjdbEbRlJaB0ETTtjihvOKDV/kKazZDhRWIKwIrEHMOLQENMZK8HStXCyOtnFz4n9oOYCT5ZdazorTiCmt+PWs2S2AF4orACsQcFdbG5Q9eJW03t+VqFzCnCQAAIABJREFURw+rk54cWIMonDaqCZWVWs9KhRWILwIrEHNMCWhccYXVc4LcyCrPle/sDFYsCWjM9NFWkSzL6dLVAOg2AisQcw6BtWHujj7WlOXtrK5OaQfwTUhttQGlRlsRWIH4IrACMRYZM23FKGrnhaGyri8/DOXtGGpvF223Ck1UOOGO+pQabWXv2CYGIH4IrECM2axlbYobRoUJAZ7j7xhnlZaUqxD6Eb8MNGPqwSvHpsIKxNWsbl8AgO6hf7U5bhgqcnOh1LV9uZm0zI6+Vt9M7cJEvXIH1YYk5daz2hYVViCuCKxAjBFYm+NFoSwr9z303aAwHSDXCsBBq2ZNagkwRq7rde1aAHQXLQFAjNn0rzbFDUMlrfxIq0BOOkUrQAtNagmIjHzPk+fzSxYQRwRWIMaosDbHCyMlbU+BF8pzbPmOLY+pAC1TPLs2NEaBH8jz+GUAiCMCKxBjLA1ojh0EStuuPNeXk04piELWr7ZQVPStjCKjKIpkZTl4BcQRgRWIMdayNidtuwojI9cOlE1OyKdvtaVMUY01v541nba6eUkAuoTACsQYFdbm5Eda2ZajTGqiy1czoCaNtpIyrGcFYonACsQYPazNSdmujIw2b92ikANsbVFcs44io3SawArEEWOtgBhjLWtz0o4v17eVHBnr9qUMrEmzWI2RlSWwAnFEYAViirWszRvPZrXLkJE9lqj+YDTEGJPPq4qiSFkCKxBLBFYgpljL2pxM4GrCtjUjMgosDgK1S/Foq8gYWRZTAoA4IrACMUX/auPs0Nd2N6XAj5TaNi4mWbXPpG1XES0BQFxx6AqIKQJrY7wo0DY3Jc8LZYyUHR7v9iUNtOJtVyEVViC2CKxATFnMYK2bH4Xa6iQVmUi+F8kYI3uUcVbtZLRzslUUGdmW29XrAdAdBFYgpqiw1icwkYbdpMIdywECL1KYzsp3/C5f2eDL97FGxshxCKxAHBFYgZgisNYuNJGGnaT8aGdV2vcj+eMJRSHbrdotH1hDQ4UViCsCKxBTdkhgrUVkjIadlLxo8vfL9yL540lFASeu2i3fxxpFRp7rKor4ngNxQ2AFYooKa3WRMdrmJuVG09/2d7OeglRGhgpr2xXHU9fz5Hn83QXihsAKxJRFYK3IGKPtbkp2OD2sRpGRPTIhExpGWnVAVBRZfT+Q7XhdvBoA3UBgBWLKZkpAWcYYjXoZWWHpYBT4kfyxZC6wdvja4qh4tFUUGWXSLGoA4obACsRQEEXyWMta1oRvKR2Un/fpeaH88YRMSFztBKOdbQGhMUqnCKxA3BBYgRhyCKtlpXxbCb9yILLGMoo8XwojUWPtjOKDV+kM266AuCGwAjFE/2ppVuhp1MtWfVx2y5gkyUT0sHZK8SzWLIEViB0CKxBDTAiYzo8CbXdTUg0VU2s4t92KloDOyX+no8gokyWwAnFDYAViiMA6WWSMht20ohrKpaEXyBlPSSKwdlK+JSA0kSwqrEDsEFiBGKIlYLIRLy0/qu17kt02riiMcq0AOwbYG/oC2q64wmpZ5Q/EARhMBFYghqiw7pTyHWWD2td9ZjaP59JT0cIA4mr70cMKxBuBFYghyyewSrm+1XE/U9dzMlvGJdEO0GnFUwJsmworEDcEViCGqLDmAtCIl6mpbzXPTWbkZXNhqTiwEl3bz0gyJvd/sxy6AmKHwArEED2sUipw5JRYu1qJNTyhaEdQNVFRTCWxdkS+LSBLDysQOwRWIIbivjjAj0JN+NXnrU5lbZtQmK+sTqqwklg7If99ti2Hg25AzBBYgZhxw1BBFFV/4AAb97N1tQJIUuQHckaTivKTAehh7bj8j8xxPfl+vH/pAuKGwArETNz7V+3Qq2sqQOF52xOKwqhkYKXY1xn5CmsQBLKs+n+GAPoXgRWImTgHVmNMTatXS8kOj+f6V82O/lXDoatOywfWMDJKp60uXw2ATiKwAjET5wNX6cCteUHAVNbwhMKoxIErdEz+d4TIGKXTTAoA4oTACsRMXCuskTFKNHDQSpLcREaB7RYmBGhK/yrxtTOi/PKAyChDhRWIFQIrEDNxrbCmAluBaeywmTWcWxaQnxAw7cAVTawdY4xRZIwyGQIrECcEViBm4hhYI2OU9Bt/CzkfWKMygZW42jm5rbhGGdazArFCYAViJo5rWdOBo7DB6mro+XLG05JUtiUAnWOUq7BmsywPAOKEwArETNx6WI0xSvqNv31sDU/IRCb3VnSFGawMsu+MyOR+FrQEAPFCYAViJm6BNRO6DfeuSiXaAVR6SgBxtTPy3+dUisAKxAmBFYiR0JjYrWVtpnfVGCNr24SknQeuNGUGKzorP4s1k6WHFYgTAisQI3GrrtqhJ6/BuauS5I6nFbq+pPIHrvKIsJ2Rb70gsALxQmAFYsTy/W5fQkc1U12VpOzWscKf80sDyh64IrF2hNnxP8vi0BUQJwRWIEbiNNLKj0JZodfUa1hbxwt/rl5hJbF2jDFybAIrECcEViBG4hRYU0FzgcbPOnKTOzdjFZYGsJa16yJJruvJi+GINiCuCKxAjMSlh9UYo0yTgdUqagcwkSkEVROWnjjAOazOMTIKglBW1u32pQDoEAIrECPZmFSksqHb8KKAwmsUtQOExVVVDl11XX49azrNaCsgLgisQIzEpSWg2XaAyA9kjyR2flw8g5UtV11nJEURgRWIEwIrECNWMPhTAvwolBM293Va2yYm9aqGNaxk5dBV5xgZhWy7AmKFwArEiBWDloBme1elyeOspOoTAiR6WDvJ7FjPmkwSWIG4ILACMREaI3fAt1wZY5QOmzuIY4yRNTwx6TYmBPSW/CzWRDLT7UsB0CEEViAmLN8f+DetnchXEDUXyp2xVGG7VY4pVFgrtQTkHolOMcYokaLCCsQFgRWIiTgcuMoEzY85ym6Z0g4Q7VwHWm6kVQF9AR1jxKErIE4IrEBMDHpgjYxRtsl2AKlEYC2qqlabEEBc7RwjEViBGCGwAjEx6Aeu7NBT1GSF001m5GfsSbeFxSG1Sg8rgbVzjDHKZFnPCsQFgRWIieyAj7TKtKK6unls2m2FCQGmhhmsJNaOMTKyLLv6AwEMBAIrEBOD3BIQGSMr9Jp+nezm0Wm3hfm+1RomBJBXO8dIsi0qrEBcEFiBmBjktaxW6BYORjXKz9hyk9lpt4c1zGDdicjaKcYYObbT9M8dQH8gsAIxMchbrjJB89XVTInqqmQURbUHVrJT5xhJrufJdQf3FzEAOxFYgZgY1AprZCLZUQvaAbZM718NQ7OzaFptpJWor3ZaGEZMCgBigsAKxIAbhgqi6oGrH1mh1/TbwoHtyh1PTbt90kgrtlz1nNBEmkiku30ZADqAwArEQNYf3HaAbCsOW20ZK/l2fljHDFYpd3IdnWOMNDo2/RcNAIOHwArEwKBOCGjVdIDMxpHSr19vYCWvdpSR0ehEptuXAaADCKxADAxq/6rdinYAy5Uzlix5X1g0g7WWsVboLCOjBC0BQCwQWIEYGNSlAa1YxZrZNFK2MlpoCajhwFUesbZzIiMlSowiAzB4CKxADAziWlbTqnaATaXbAYwxhYNWtc1gLTyx6WtCbYyMUikCKxAHBFYgBgaxwmpHvqIWLAtwxku/pRw2OCGAuNpZqQyBFYgDAisQA4PYw2q1YllAmeqqVP+Bq8Jjm7oi1CuVtrt9CQA6gMAKxMAgjrWyWtG/WmY6gDS5wqq6WgKauCDUzbJYHADEAYEVGHBBFMkNw25fRku5YaDANLcIwUtZcisc2Kl3BmvhsSTWjrJtp9uXAKADCKzAgMtQXS0ps3H7/9/encZIdp5lA75r7e7p2eyYmfEGSSA2xiQhZux8wiZ8MgJkMEKAggcjk0jkRxIJRcqPCIgAJYCQQZBI/GUJiEhOkAwk8QdEConBsU0C2HGSGXv2pZfprZZz6qzv8nw/qrune7q6u5ZTp+qcuq9olBlXd5+3e7qm7n7O8z7vno/bLZMB2BIwvqJg8O8FIhp/DKxEOZfHdoBBT7cSEbhX9wqscmMGq5Xedv4zsaZKaQ23xT5WorxjYCXKuVbONlxpaxDbwT6ncLUJ5e1+K9kY2QyevUwIAJhX0yYiWFrtfPADEeUHAytRzuWtwprE7FX38tKej2+dEADNwDrOBMB1Blai3GNgJcq5vM1gHTSwWm3Qml/d82363XDVfgdG1rQtrTVGvQQiGjIGVqKcy9OmKyuCwA72+bTmVmD13lMTjO7v0ACAFdZRWKmxwkqUdwysRDmXp0MDAhNDBqxg7r3Zqm17hbX38VkMremqNTufVkZE+cHASpRzeaqwDtoOoLwQ4cp+t49lew9rry0BANsCUtZweDwrUd4xsBLlWKg1tB1swP44GTSwuleX9s2S1mKziivSRw8rWGFNm+sysBLlHQMrUY65OaquRkbDDHC6lYjAvXR937fbdiRrj/2rm9fq672oXx7nsBLlHgMrUY7lqh3ADlZd9a/Xofz9T0Wyur8TrrZhYk0Vj2clyj8GVqIcy1Vg1YMFVufSYldvN+iGKwAQJtZURX6M0OTne52IdmJgJcqxVpyPF3EjFtEA46y0H8G/XuvuWoPMYN14v77ei/plYoV6yLYAojxjYCXKsbz0sA662cq5fL3reapm0AkBABNrykysUPcZWInyjIGVKMfy0hIwSGAVK3C62GwFANbKtmDLCms2iBUsrNZHvQwiGiIGVqIcy0NgFREEAwRW/3oNOth/sxVwU3UVDKxZssTTrohyjYGVKKciYxCbvY8gzYLQatgBBvE7F7vbbAXcNCHASt8HAAx6Ghf1bmWVgZUozxhYiXLKiQfr+xwXg1RXVSuAv9TdZisgmQ1XNBq1Bg8PIMozBlainHJzMiFgkP7V5oWFnoqkiWy4WsfRVulym62BDpYgovHGwEqUU67KfoVVW4PY6r7e12oD98pST++TaIWVeTVVvhsi4CxWotxiYCXKqTy0BAxSXXWvLsHE3YfdnRMCBqvWMa+mK/CigdpHiGi8MbAS5VQeWgIGCazOhe43WwGA0dsD6qAVVu67SlfkxwgGOFyCiMYbAytRTmW9JcCK9B1AgpUGomZvm3CSGmm1+f4DvTf1SgcxmhEPDyDKKwZWohyyImip/no/x0VoVd/joZo9VlcBwOgt7QAiQJcnY+2OkTVNOo7R6HLeLhFlDwMrUQ61VP9hb1z02w6g/QjewmrP75f0SKuMf/kzx0QKjZAVVqK8YmAlyqHmBG+4al5a3LZ5qjsCs3WTlU4gsA78EagXJorhhlHmf1Ajos4YWIlyKOsTAmKroW3vp3RZY3s62WqDMbItYSZSYR34I1AvrLFwnABRn2PQiGi8MbAS5ZATZTuw9ltd9eZWYKLeN2oZneyGK4DHs45Cs+YPNFmCiMYXAytRDmW9JaDvdoDz8329384JATwxKYtadY+zWIlyioGVKIeacXZ3SxuxCE3vt3XDNQdhvdXfNW+awTrosawbeDxrulpNHz5PuyLKJQZWopwxGR9p1a6Q9R70mhcW+r7mtgkBgj42bXXGroB0+U6IwLLCSpRHDKxEOePGcab7J/tpB9BhjNbcSl/XEyuw20ZasR0gq0I3YA8rUU4xsBLlTJb7V0Wkr1u67uXrfVdF9c23/xNqBwBYYU1b5Edwouy2wxDR7hhYiXKmkeEX7NAqWOmtwilW+hplteHm/lVJYAbr5sdiD2uqdBjDjxQi9rES5Q4DK1HO1DMcWPu5nesvrkH5/X/OO0daJdcSwLiaLh3GiGIL3zKwEuUNAytRzmS5wtpPYG0OUF0FsP2EKyQzg3XzYzGxpspEMSJlONqKKIcYWIlyRETQyOihAbHVUD2ebhW7PoLlet/XFJGdM1gTbAmgdOlIIYw0N14R5RADK1GOeFpD22zucu8nZDgXFweqYu44ktVKomXRLE9ryCIxFr4bImAPK1HuMLAS5cgk9a9aY+FeWRromjs2XCXYDgCwhzVtIkCzzuNZifKIgZUoR+phNgOrFouwx6qYN78CEw92QMKODVdDaAdgaE2X1/DZw0qUQwysRDlSi8JRL6Evvu49aDsXrw98XX1zQB3GoQFsC0iV1wygxSKy2T3tjYh2YmAlypFamNHA2mNFLHZ8BKvNga7Z3nA13JYAgBXWtPlOsH4ABausRHnCwEqUEyajEwKsWAQ9zs10Lg02ygpYbwe4KU0OpSWAiTVVyo8QKwtfZ++5QES7Y2AlyolGFMFmMB35RvW0m94aC/fq8sDX1TdvuEKyhwbc+LjZ+zvJMhXEiGLDCitRzjCwEuXEWkbbATzTW/+qN78KEw0+tujmDVcYQjsAwJaAtJkwQqQsAytRzjCwEuVEFgOrFel5R7dzefDNVkCHCqsezvzaDBa9M02FMaKIFVaivGFgJcqJlSAY9RJ6Fpi4pzYG1QoQrjQGvq6IwN58wtWQKqyULhPGCGODwMZsxyDKEQZWohywIqhlcAZrr+0AzpWlRCqWWu2spg6vwsrQlCYTKwShghWBYmAlyg0GVqIcqIVh5o5ktT2OHhIRtAY82WrDjv5VDGdCAMAe1rSJFXhO+25DXDAjXg0RJYWBlSgHVoLs9a/22g4QLNWh/GSqyJ0nBAwvWrLKmh4RwG1sBNZs/RBHRLtjYCXKgSz2r/bcDnA5meoqIB1OuJKh7o5iXE1Xq+FDRBCBgZUoLxhYiXJgyfdHvYSe9NoOYGIFf3EtkWsbLRB784ar4QYbBtZ0RV4IpS0rrEQ5wsBKlHG+1mjG2Rrh4/fYDuBeXYZNKFTe3A4ADK9/dfPjM7GmSvkRwtiyh5UoRxhYiTJu0fNGvYSe9doO4Ca02QoAtEpvw9WWKwz549NW2o8QRgYKAiOsshLlAQMrUcYtetlqBzDS2ylEUaOFqN5K7PodK6zDbglgXk3VxvGsKPTWekJE44uBlSjjFv1sVVg9Hfe0az7J6qq1Ow8MAFJoCRjqR6ebmbBdYQXa329ElH0MrEQZ5sQxmlG2XpA90/0ILrEC9+pyYtfueGCAHe6EAIBjrdKmw/UKKwC/x/YTIhpPDKxEGXatldyt8jRoaxAY1fXb+9drMFH3b78f1fGEq+GHScbVdKkwRhhpAIDHlgCiXGBgJcqwa262Aqs7ws1WQLpHsu64DqusqbHKwHPblXz2sBLlAwMrUUbFxmRuQkBLd98OYCIFL6HZqwBgjN2lfzWlwJrKVQhot3lsHB7gm956poloPDGwEmXUZdeFydALcWgUlO1+Lmbr2vKOAf+D6DTOCkinJQBgYE1b2PKhdHusVWiTayshotFgYCXKqPON5qiX0JNeqqtASu0AwpaAvIrdEPH6DylsCyDKPgZWogzylMpUO4AVQauH/tXY8RAmOHsVkM4broY8f3X7CihNygsRrf+dc+MVUfYxsBJl0HdrtUwFoJaOejuKNeHqqtHSsb0grXYAgIcHpC32QkTrFVZPc7QVUdYxsBJljLIWr9cbo15GT1wddP22IsnOXgWAOO5cSU2rHQBghTVtyg8RxRsVVgZWoqxjYCXKmG+vrSE23W9eGrXIakRWd/32wXIDOkj2Fq7aNbCmWWFlZE2T9qPNHlZWWImyj4GVKEM8pfDaanKjntLgqu6rq0Dy7QDWCswuldQ0K6wAq6xp0luOZ1ViEfVwYAURjR8GVqKMEBE8P78AbdMNWYMwYnvabGWVhrewmugadq2uWgESHJvVDVZZ02ONwHdvfO/18n1IROOnPOoFEE0CN45xyXGxGgYItUG5WMShagXHZmZw5+wspst7PxVFBC9fX8JChiYDAL1vtmrNr8ImXPVUcef2iTTbATavmfoVJ5cYCxVEiJVFtVKEZ2K8adSLIqK+MbASDZGvNb5xfQkXHKdjde27AAqFAk4cOIC3Hj6M7zt8CAduCq+eUnjp+hIuO05Kq06GiMDpYbMVkHw7gIjsfmBAhzFXwyYCoJD6ZSeSSHu0VRhpVCtV9rESZRwDK9GQzLda+OrcPMJ9NkiJCBY9D4uehxcXF3F0agq3TE/hiudj6fIVLPl+pk602hCYuKeTrZQXIlxN9jAEFdtdb8On3b8KAAIm1jQpL0IQGRw+yEkBRFnHwEo0BBeaTXxtfqHnnkUBUI8i1KMIC1EEk7EWgK0avVZXry4lPqs0jnYPzCOrsFJqVHBj45WneXgAUZZx0xVRwq64bl9hNU8ioxH2uCvbvZLs7FWRzqdbAe0NV50OEhi2yf2OGA3tbZ0UYDgpgCjDGFiJErQWhvjq3PxEh1UAaGq/p7cPVptQrd4qsvuJI7trQhxFdRXglIC06aDdErCBkwKIsouBlSghkTH4yrW5TI2dGgZlDVo93n5NerMVsE87wAgmBGxem3XW1JggRhjdOLSixY1XRJnFwEqUkJcWr8OJ2SfXUD56ufltjYU3n+zsVWMs9B5V1FFVWAH2saZJRwr+llPTXB2OcDVENAgGVqIEXHYcnG8mu8M9i7Q1PVexvIVVmLj7o1u7EYX7TGYYwYSAzWszsKZGrCD02rNYAbYEEGUZAyvRgGJj8NL166Nexlho6qDnW96tIWy2iqM9qqtmNBuuNq/PloDUiJF2H2vY/oHI13FPB1kQ0fhgYCUa0P+urMBTyVYIs0hbA6fHW646iOAv1xNdh4rtnoF0lNVVgBXWNIkAcSvY3HhlIfAN23aIsoiBlWgAzSjC6VqygSurGiroeRe8e3U58WpnGOzdDmBH2L8KcLRV2mI3gB9u3XjFPlaiLGJgJRrAN5aWeYsR7epqPxtakp4OoGIDs08FdZQbrgDw+yVlcSvcbAkA2MdKlFUMrER9WvJ9XHHdUS9jLNSU33NvZlhzEDu9zWvd92PuU10VGX1gBVhlTVPsBQi2bMLjaCuibGJgJerTfy+vjHoJYyGyuq/brElXV7Xae5QVMB5hFeABAmlSfgR/yyxWjrYiyiYGVqI+LHoeFj1v1MsYC/W496+DNRata0kGfkHg77/xbXwC66hXMDmUFyCKDbRp/91HViOy3CRJlDUMrER9eGUl2UH3WeWbuK9d1/7iWqKzV+No/+oqMEaBlU0BqTHKwETxtrYAVlmJsoeBlahHy76PBVZXISJY66O6CgDO5eTm1op0WV3F6CcEbGCFNT2iBcrbPimAgZUoexhYiXr02traqJcwFhwdQvVxa1UHEYLlRmLrCH0Da7pIgNqOTVIcj9g8GUQEYdNnhZUo4xhYiXrQjCJccTgZwIhFXfW3w9+9spTY7FWtLcKwu9A8LtVVgJuu0hY5HgJuvCLKNAZWoh58e63G7kMAtdiDld4DoIjAuZzMdAARgd9SXc+Iknh8AivA0JqmqOltq7AGRkHZvUegEdF4YWAl6lKoNc43m6NexsiFRvVdoQpXm1CtIJF1BJ6G0d2FPgFgxy2wjnoBEyRube9hBVhlJcoaBlaiLr1eb0Db8Qo9aRMRrMatvt8/qc1WcWQQhd1XyESNT//qhoRPpKU9KC9AEOrN0VYAAytR1jCwEnXBiuBMvT7qZYxcUweI+5xhaZWGNz/4ODCjLfxWb2sYt3YAgC0BaTLKQAch/ODG943DwEqUKQysRF244rrwlBr1MkZKWdP3RisAcK8tw+rBgqO1gpajeg57Nh6/fkXG1fRYLVB+AG9bYE2mNYWI0sHAStSF07XJrq6KCFZid6CqoDvgZiuRdli1Pd5LF2nP4hw3lhXW1FhjEbe2B9bAqL7vFhBR+hhYifbRiKKJP4bV1SFC03+FOWq2ENb6Hwe2EVZNHxXacexf3cATr1IiQNjwdmy8chSrrERZwcBKtI9J711V1qCmBgvszsXFAd5b4LV0V0evdmKj8WsH2DCmOTqXIsfbVmEFgCb7WIkyg4GVaA/aWpxrTO4oq41WgEFuX1tt4F5d7ncF8FwNNUDolDHsX93AtoD0RE77tKutX3P2sRJlBwMr0R4uOg5iM76BZ9icAVsBAKB1bRlW9fM1FPgtjXiAsGq1hXRzbOuIMK+mR3khtDbbDhBwFCusRFnBwEq0h9cneLNVbPXArQBA/+0Avqd7mrXaiUTjN85qq/FeXb4YZaFvmhSgxMA38QhXRUTdYmAl2kUtDLEcTOYtQxHBcjTYVAAACOsuwnrvBw0EvkYUDF7ZHuf+VYCzWNNktV0fbbX9jkFjgFFtRJQeBlaiXbxRb4x6CSNTU14iI3/6qa6GgUboD35tsQIZcO5rGhha0yFWEDn+tsMDAKDJSQFEmcDAStSBthbnmpO52SowcSIv4lZptK6t9PQ+cWQQJBBWgfGvrm7gEa3pCRseWjcFVlZYibKBgZWog8uOO5GbrYxYLEf9z0vdyrmyBKu7/xqq2MBrqcSOgLID9r+mxXIWa2oix4cX6G2TAjwT8wABogxgYCXq4I3G5G222uhbNTL4bXQRQfP8Qtdvb7SF5+rEwqoYaR8YkAHsCEhP5PiwVuD5N1dZ2RZANO4YWIlu0owiLHqTd5uwqQMECe2Y9hdrUK3uQoC17VOskuzlzEp1FeAs1jTpIIKJFVr+9o1XTbYFEI09Blaim7zRmLzNVqFRqMXJvWg3z8939XYbR67ahBs5s9K/uoEbr9JhlEXktNBihZUocxhYibawIhN3slW7b9VBUvfjo6YHf7m70O+3NEzCO/mttpmYDrAVN16lw2qLsO7uqLC6OoROoBWGiIaHgZVoi6uui0BPzgaMjb7VJF+su62uhsFgp1jtxiYwvzVt3HiVHn+1CfemwGohnBZANOYYWIm2mLTZq3XlJ9a3CgAmUmhdW9737ZSyiY2v2kokW/2rG1hhTU9QcxEriyje/n1Siwc/1Y2IhoeBlWidpxTmvMl50fJ0lHhVqXlxAXaf2/HWCjw3ufFV2z52aDK57Z49rOmJ3aDjxqs6K6xEY42BlWjdG43GxASH2GqsxMnMW91gtUHz3H7tAO2wKkMqKdogu+2yPCvqAAAZ2klEQVQcnBaQDqMMIseD623/XmnpkPNYicYYAysR2hWuSWkHMGKxFDmJByTn4iJMvPcLfuAb6CHNR7Uqe5uttmJgTYdVFpHjwvG2t8IIWGUlGmcMrEQA5jwPnlL7v2HGtTdZOVA22T5PaywaZ+f2fBulLMIhVkDtEHpi08Q+1nSIAMGqg2Zr5/OdfaxE44uBlQjA67XJONlqNW4hMMkHc/fydehw981bYgX+kPpWAUC0ZG726s1YYU1PsOYgig3Cm75n1uLWiFZERPthYKWJ5ymFq638v1A1lA9Xh4l/XLGyb3XV83TihwNsZfx8VMcZWtMRuQGM0mi2tv+QFVo9lOcIEQ2OgZUm3iRstmrpaGi3O90r16G83V/ko9BADbH6KUYyOcqqE7YFpMPEBrHr7QisQPsuBBGNHwZWmmh2AjZbBSZOfCLABqsNaqev7vq4MRaBN9zeUuPlo7oKsMKaFhNbhA0Xjrvze4dtAUTjiYGVJtq1VivXm60io7AUOUOrIDfPz0MH0S6PCvyWHmr12mqbm+oqwMCaFhGBv9KE46sdrSpNFXC8FdEYYmCliXa6Vhv1EoYmthrXhzC+aoOJFOpvXNv18XCII6w219ChQpZ1DK3p8FcdWCs7DhAQsC2AaBwxsNLEakYRFlr5HGMTW43FsAkjwwuMtTNXYFXn6qbRFsGQh/jbyECGHIhHgYE1HVHTg1EaDXdnH+tyNJwWGiLqHwMrTazT9fqwpiyNVBphVbUCOBcXOz4mIvBawxthtXGNPFZXAW68SouODPzVOmrNnS0ttdhLfFYxEQ2GgZUmUmwMzuZws1Vkhh9WAWD1Wxd2PV419DWMHm7qMi09tONdR82K5PIHqXEjVtBarKHhxDv6WC1kaBsViag/DKw0kc42GlA2X7eTfRNjMWoMPay25lbgLXbu/dXKIhzyJigbW9ghtxuM2jBn1tINrcVVaCtwOpx6xbYAovHCwEoTx4rguznbbOWoEEvh8DZYbTCxxuqrFzo+lkorgBUYZ/cTtfLCsI81FZETIG75qDmd2wI4LYBofDCw0sS57Lhw43z0P4oIVqMWVmMXadxIXvv2xV2PYPU9DWuGtwYBoJtxblsBtuLGq3To0MBfqaPeoY/VQrAUOSNYFRF1wsBKE+fba2ujXkIilDVYCBtwdJDK9YKVJtzL1zs+FkcG8ZBbAYyrcjkVYDessg6fWIE7v4pmS0Gbnd9bC2FzBKsiok4YWGmiLHgeVoJ0At6wiAiaKsB8WEeU0i1LE2ss//cb6JShrBX4Qz/NSue+b/VmZgIqyePAXaxBa9NxWoCrQzhq92OHiSg9DKw0UV5dWR31EgYSGoWFsIm1uJXqbeOV/zkL5XV64RZ4rhrqbXoT6Fwdv9ottgWkQ/kKYb2J5VrnYLoY5W+aCFEWMbDSxFjyfSx42TwoIDIaS5GDhbCByKYb3hrn59Ga7xz0gyGfZmU8ndt5q91glXX4rLZw59ewVo86TmdYDJvQnMlKNHIMrDQx/ndlZdRL6ImFwNUhFsIG5sM6PL3zluWwhXUXa69d7PiYUhbhkG7TiwDaURNZWd2KfazpcOZWoIzt2BagxWIhZJWVaNTKo14AURqu+z7mBzyG1YogsgqR1VDWQImBEYGIQCAoACgUCiiigFKhuPmrvOX37V8FFFBAoVAA0O5JtRBosVDWILYaoVWoFWPEI5wFqf0I11883fF2v7UC3x3OCCsx0p4GoCdng9Vu7Pr318b3Cg1HsOZC+SGWayFuu2V6x+PXwjrumrkVRf49EI0MAytNhG8sLfX1flYsPBPD0xECqyD7Vbx6CHAFrAfWXd5JCqOrrlmlsfj170AHOytOIu2+1aSH24sA1tcwvkbH3V0TSougwqA0VEZZrJ2bw+zhA7BWUCxu/3oHRmEldnF86vCIVkhEbAmg3LvsOFj2e5sMoKzGatTC1aCGlciFb+L9w2qPZP1/40asxeJLpxE1O1ekfU8n2rcq0t5YpWthuwWAYXUb9rGmo35uHlGsd918dclbTfzfACLqHiuslGtGBN9YWu767ZXVqCsfrRH0i44DsYKlb76BYLlzz14Y6MTmrYoR2FDDBmYiDgMYhLYW5SLrC8MUOQGc+RUsHJ3BidtmdjzeMhGWIhcnplllJRoFBlbKte+srcGJ9z/K04hFPfbh6BBDPVt0jIm1uP7yGXgLnQ9WiCODwB9sk5VYgY0MbGgm6hCAQRkrKDOvDpUIsHbmGo7cfRxeoDE7s/Pl8ZK/gmNTh9jLSjQC/CeQcsuNY7yyz9xVEYGjAlwL6usnRk1mWLXaYPHF7+4aVlVs4LX622QlRmB8DVWPoFbDiTuxKgkCQLMKPXTuwhrCpof55c7tMJ6JMR/WU14VEQGssFKOfX3xOrTdPRhFVmM1clM7LWpc6TDG0sunEax2PjddxQatHicCiNlSSeVu/0S02wJKo15GrlkjWH7tMg7eehBvufMQKh3K2he9FRyfOoxqkS+fRGlihZVy6Y16HXOtVsfHrAhqsYf5oDHxYTWsOZj7yiu7htU46j6sigA2NFCNGGothGkphtWEqT1+AKNk1C8uImhFuLLQ+d8PJRbnWt33xRNRMvgjIuVOM4rw0vXOY6wCo7Aau1A8uQbOpUWsvnoB1nQKQYLANwi76FkVK7CBgQ00N08NmbGCUkHYQzlEVmvMf+Mcpmd/GHefmMVUdWdVezFq4nuigzjW55irWGksLDaxtOTAcUPEsUapVMTBg9P4njfN4u67bsWBA9VBPxWiXGFgpVzR1uIrc/M7WgGsWNRif71PdbLpIMLKK+d37Ve1tj1ndb/RVWIFxtOwoeEoqhQpK5gqMbAOU+PCHNbefAKXbpvBD771aMe3OeNex+HyDKZLla4/7lqthTOvX8flq2vQne4+LDk4fwF4+ZuXcMcdR/H2H7oDJ44f6ffTIMoVBlbKlf9cWEQt3D5H0dMR1uIWtEz27VQRgXtlCWuvXYSJd1ZORQRRaBD6Zs95k5tBdUjHstLeRIRjroZMRDD30mkcuO0Qjr1pBrcemdrxNkoMvu3M44Gj34tSYe+/i7VaC698aw5z891t2BIB5ucbmJ9v4I7bj+DBH30zbjl6oK/PhSgvGFgpN/57eRkXms3NP2trsBp78E32ZqqKCIwRxJGBNQJjBWKxGSQLhfVjYEsFlEoFlMoFlEq7v2h6izXUvnsJUWPn7mdr29eJArPn6VUiAutpmIAV1VHTVlAoCEpsDRga5Xm49tI5zExX8Mi7b++4AaupA5x2F/HDh+7oeHyu44Z45VtXcfnKWt9PmYXFJr7w/17DD/3g7XjXO+5CucyNdzSZGFgpF15bXcOr6yOsrAiaKkBD+wOfTGOtwBqBVgZhowXlBtB+BB3G7Y1IBaBYKqJ0YAqVA9OozM6gcnAahWKh4wuYiMDa9b7P9Y9tNn5pC2MEWrd/H0URqtXu118sFlCuFFCpFFGuFFEqFaBqdXiXFxHXHKAAQNY3R1mB0QKtbfvW5B6XEQFssH5kKntUx4YyFoVSkf2sQ+TOzePyNw9julzEux860fFrvRQ5qBSKuPfgic3nfKsV4lvfmcf5iyuJ9HWLFXz39AKuXF3Dw//n+3H7CbYJ0ORhYKXMe2VlBf+zvAIRQctEqMc+tOy9qcpqCxMa6MjAxhY6MohCAxW3Q6MRQeQFiJtNmFYLxvUgpruNWoVyCaWDsygfmkX5yCGUjxxEsdJ9n1u/2pVSQVD3EC/XEC0uw0b7H5qwGwHam6k8xc1UYyo2FlWG1qERY1E/dw6njcBbDfDw/70LM7M7N0PNhQ0YsbjFn8XZc8u4cq02lOdMqxXhy185jXt+4Dh+9IHvRbXCl3CaHPxup8zS1uLri4s4W2/AMzHqyoe6aUyVVRbKU4hbGtrTUL6G9jVUqKGUhVYWWrUrnABgwgDaacK4Tdh4vZWgUEChXECxWkKhWkShUsRe8UC0gW440A0HuLYIFAoozUyjfPggSodmUT48i9LsARQS6kE0YQTjetBNF/FaAzbofBZ6twTt8VTW05COEwRonDC0DpeJYzQunIVYg8aSj+///iO49fgsqtMlFIsFRIGG78R4eeUSiqqA41OH9+1pHYQI8Ma5JVybr+P/PPgWfO/dtw7tWkTjhIGVMqkWhvj3uXlcbTXQ1AGUNdCBRtxSUC0N1VKIWwpm/dx7AaCVhYotlLIw+kb1w0YhtOtAOw3YqEPYE4EogVEW8AAUCyhWiyhOlVColrBvThCB8QMYPwCur7T/W6GA4vQUSrMzKE5NoThVQbFaRaFcQqFUQqFUhFExdEW1P4QxEG0gWsNGCjaKYMII1gtgYzX4FxQ35qhan0E1a2JjUS4WuBFrSKzSaF48D6vfjCjSuG3Bw8x0517SubCO26oHMVvauVErSb4f49+ffwN33XkLHvzR78ORwzNDvR7RqDGw0ti5sbFoZxKMjMF/zl3Di5fnUGu2ELnxZkC1N42JsVY2A6qK7eamB7EGxvdhfG97JbVbVtrBLjTt4DnVQ3i98UnCBuGe1VBjDEql4W+wECOwoYYNDG/9Z5i2Aivt4Mpqa/KsNmhevIDg4CH4J07g0NHDODhbwex0GaUtY8aMWCxFDg6UqrilMoup9ROxrAiUsdDGwljb3kgpstEKj0KhgFKxgHKpiHKpiEqpiMKe93La5ubrWFhs4G0/cAxvv/9OHJwdblAmGhUGVupJrDQcJ4TjhGh5ITwvRhAqhJGCUmZztqC1BtZoWGMA0YA1EDHt/1//tfG4MRrWWmhlIGLbm5HWfwkK0MbCVQpLfohVP4I2QLFURrFcQqFcRrFcRqFUghSLMAYwWtpVVGUAa2G1hqgYNo5go7BdRU1ql7skEF5HQKzAxrZ9dGrMQxTywoogNu2DBRhchyNuuYjPu/BmZ1GZPYjKgVlMHZxFdbqCUrG4/oO2wEoAsQ1AC0oG7Q2L1sLajR8Mb/wbVCgWUSy2766UymUUS2UUCgVUyyVMlUuYrpQxXS1hplLGTLWM0k2VdGsFb5xdwrnzy3jrm2/Dvfccx/fcdijVrwvRsDGwdmCthV3/KXhrta8AoFgqoVQqdqz+DUJEYLRpX3vLdTeuXSwWh3ptFSvEsYJWGkppeF6IWr2FRr2FetNHs+mh2fDh+xGsaa/TGLMeOA2M1jBaQ2sNoxVM37eUBRYCIxaRMQiMRqjNjoMARDZ23G/fdT9SW8MrgEKl2O57rRRRqHSeGpDi0iDKQpSFjQ1kn0MBKNs2gmuhAJQK7eDK8Jos5XlQ3vYxcYVSsd2bLtIOpXLjzk4BQLFQbP99YO9/DwrFIkrlCkqVKkrVKsrVKZSrVZSmplCuTmFmZgYHpiqYqZQxXS23A22lBKCI8xdXcP7iCo4cmcH33n0r7r7zFrzp1tk9x97RaLVf92WzkFIoFlK5u5Y1uwbWjcAUx/3vMo6i9OZfbgQ+rTWMsYiVgo41tFKIlUIc6/VQFiOOYqhII974s1IwykCpdtCyXZzXXSoVUSwWUa6UUSwUUSwXUS6V2j8pFwqbY402vo7tQNX+2Mba9i51a2C06fqaW69dKpVQLpdRLBVRLpdQLLU3AJRKJRSLN0JtodD+6bs919NAKYM4ihErgyiM27+iGEpbKNXeiBTHGrqPwFksAtVqAaju3EXbrifI+vNRNn9v0b6NGa1/XfT6rTItAikUUCy1/1EWuRFSN/4/U1T7H6FCqQiUgEKp/T2CjfFX7XuC26qy3bYECNCu3mx8Xez6i6VZn92qBWItgCJQQfsXTaTi+g/eG7egN7/dCujq9nPWWGtQLI7nC//6Ux4bN/5vBNiNv4kCUDAo2AAIA5gQMABiAEGhgGa5gmJlPdSu32mqVquoTk1heqqKaq2MS/PXUS1XMT1dwa23zOKWozM4evgADs1O4eDsFKaqZVSrJc527YO1Fnojc2iznjU0VKyh4ng9b+j266tSiKIYWmnEkYJSClpraNUu+Oz2erb5Wl8po1wuo1JZ/zuuVlCZKqM6VUW1WkWlWkG1Wka1UkG5UkF5/felUhHlchmlcmmggklaWW4jb+729SjILo+4rouzZ88Ob2VERERERFvcc889OHRoZ0vLroHVWgvP81CpVEZ6K5OIiIiI8k1EoJTC7Owsih0mnuwaWImIiIiIxgG7sImIiIhorDGwEhEREdFYY2AlIiIiorHGwEpEREREY42BlYiIiIjGGgMrEREREY01BlYiIiIiGmsMrEREREQ01lINrK+99hpOnTqFU6dO4VOf+lSalybKlc985jN4//vfP+plEGXO3NwcHnnkETz11FP42Mc+NurlEGXSM888g/e973146qmnoJRK5ZrlVK6y7r777sMzzzwDAHjf+96HVquFgwcPprkEosxTSuH1118f9TKIMusnfuIn8Ed/9EejXgZRJi0sLODs2bP427/921Svm2qFtVKpAACMMTh27Bimp6fTvDxRLvzzP/8zfu7nfm7UyyDKrBdeeAFPPvkkvvCFL4x6KUSZ8/Wvfx1BEODXf/3X8Rd/8RepXbfvwPr000/j0Ucfxb333ouzZ89u/vdLly7hiSeewM/8zM/giSeewOXLl7e93xe/+EX87M/+LA4fPoxyOdUCL9FY6ec5ZK3FCy+8gB//8R8fwYqJxks/z6Fjx47hX//1X/HXf/3X+NznPod6vT6ClRONh36eQ2trawCAv/u7v8Pc3BzOnDmTylr7Dqw/+ZM/ic9+9rO48847t/333//938eTTz6Jf/u3f8OTTz6J3/u939v2+M///M/jX/7lX7C8vIw33nij38sTZV4/z6Evf/nLePTRR9NeKtFY6uc5VK1WMTMzg+npaZw8eRLXrl1Le9lEY6Of59ChQ4fw0EMPAQBOnjyJS5cupbLWvgPryZMncfvtt2/7b2trazh9+jQef/xxAMDjjz+O06dPo1arAQDiOG5ftFjE7Owspqam+r08Ueb18xy6dOkS/vEf/xG/8Ru/gTNnzuAf/uEfUl830bjo5znkeR4AQETwne98BydOnEh30URjpJ/n0I/8yI9sVmPPnj27I+wOS6I9rIuLizh+/DhKpRIAoFQq4dixY1hcXAQAfOUrX8FTTz2FX/u1X8Px48fx5je/OcnLE2Xefs+hD33oQ/ibv/kb/NVf/RXuu+8+vPe97x3lconGzn7PoVdeeQW/9Eu/hFOnTuHhhx/GsWPHRrlcorGz33Po/vvvh9YaTz31FMIwxDvf+c5U1pVqE+ljjz2Gxx57LM1LEuXWZz7zmVEvgShzHnnkETzyyCOjXgZRpn384x9P/ZqJVlhvv/12LC0twRgDoD0NYHl5eUe5mYg643OIaDB8DhENZlyfQ4kG1je96U2477778KUvfQkA8KUvfQn33Xcfbr311iQvQ5RbfA4RDYbPIaLBjOtzqCAi0s87/uEf/iG+/OUvY3V1FbfccguOHj2K5557DhcuXMBv/dZvwXEcHD58GE8//TTe+ta3Jr1uoszjc4hoMHwOEQ0mS8+hvgMrEREREVEaUj3pioiIiIioVwysRERERDTWGFiJiIiIaKwxsBIRERHRWGNgJSIiIqKxxsBKRERERGONgZWIiIiIxhoDKxERERGNNQZWIppojz76KF588cVRL4OIiPbAwEpEREREY42BlYgIwLPPPotf/dVfxdNPP40HH3wQjz76KJ5//vnNxxuNBn77t38bjzzyCB588EF8+MMf3nzs85//PH7qp34KDz30ED74wQ9iaWlp87F7770Xn/3sZ/HTP/3TeNe73oVPf/rTuHr1Kk6dOoUHHngAH/nIRxDH8ebbf/WrX8Uv/MIv4OTJkzh16hRef/31dL4ARERjjIGViGjda6+9hre85S14+eWX8YEPfAAf//jHISIAgI997GMIggDPPfccXnzxRbz//e8HALz00kv4sz/7M3z605/GCy+8gDvvvBMf/ehHt33cF154Ac8++yw+//nP4y//8i/xu7/7u/jTP/1TPP/88zh37hyee+45AMDp06fxO7/zO/jkJz+J//qv/8ITTzyBD3/4w9sCLRHRJGJgJSJad8cdd+BXfuVXUCqV8Iu/+ItYWVnB6uoqlpeX8R//8R/4xCc+gSNHjqBSqeChhx4CAHzxi1/EL//yL+P+++9HtVrFRz/6Ubz66quYm5vb/Lgf+MAHcPDgQbztbW/DPffcg4cffhh33303Dh06hPe85z04ffo0AOBzn/scnnjiCbzzne/cXEOlUsGrr746kq8HEdG4KI96AURE4+K2227b/P3MzAwAwPd9NJtNHDlyBEeOHNnxPsvLy7j//vs3/zw7O4ujR49iaWkJd911146POzU1tePPq6urAICFhQX80z/9E/7+7/9+83GlFJaXlxP6DImIsomBlYhoHydOnECz2YTjODh8+PC2x44dO4b5+fnNP/u+j0ajgePHj/d8ndtvvx0f/OAH8aEPfWjgNRMR5QlbAoiI9nHs2DG85z3vwSc+8Qk0m00opfDNb34TAPD444/j2WefxZkzZxDHMf78z/8c73jHOzarq71473vfi2eeeQbf+ta3ICLwfR9f+9rX0Gq1kv6UiIgyhRVWIqIu/Mmf/An++I//GI899hiUUnj3u9+NBx98ED/2Yz+Gj3zkI/jN3/xNOI6Dd73rXfjUpz7V1zXe/va34w/+4A/wyU9+EleuXMH09DQeeOABnDx5MuHPhogoWwqysQWWiIiIiGgMsSWAiIiIiMYaAysRERERjTUGViIiIiIaawysRERERDTWGFiJiIiIaKwxsBIRERHRWGNgJSIiIqKxxsBKRERERGONgZWIiIiIxtr/B3gKayd4vNItAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Analyze Marital Status and Purchases\n",
        "df['Marital_Status'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kS-MWMTcP4Y6",
        "outputId": "428cf8c0-cfe7-4124-aa02-ac357fe9ad22"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Married     864\n",
              "Together    580\n",
              "Single      480\n",
              "Divorced    232\n",
              "Widow        77\n",
              "Alone         3\n",
              "Absurd        2\n",
              "YOLO          2\n",
              "Name: Marital_Status, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Marital Status vs Income\n",
        "plt.figure(figsize=(12,10))\n",
        "sns.kdeplot(\n",
        "   data=df, x=\"Income\", hue=\"Marital_Status\", log_scale= True,\n",
        "   fill=True, common_norm=False, palette='mako',\n",
        "   alpha=.5, linewidth=0,\n",
        ")\n",
        "plt.gca().axes.get_yaxis().set_visible(False) \n",
        "plt.grid(False)\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 687
        },
        "id": "9YKdj9yiP4Wa",
        "outputId": "ab7db390-71c4-40d5-b926-fbee77494a67"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:316: UserWarning:\n",
            "\n",
            "Dataset has 0 variance; skipping density estimate. Pass `warn_singular=False` to disable this warning.\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Customer Relationship Status Profile\n",
        "plt.figure(figsize = (10,8))\n",
        "sns.countplot(x='Marital_Status',data=df,palette=colors1,order = df['Marital_Status'].value_counts().index)\n",
        "plt.xlabel('Marital Status Profile')\n",
        "plt.title(\"Customer Relationship Status Profile\")\n",
        "plt.tight_layout()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "id": "klTQ4IbkP4Ty",
        "outputId": "e1f77128-5292-45b6-d60c-50ba6967130f"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Customer's Relationship profile and Response rate\n",
        "plt.figure(figsize = (15,10))\n",
        "sns.barplot(x='Marital_Status',y='Response', data=df,palette=colors1)\n",
        "plt.xlabel('Relationship Profile')\n",
        "plt.title(\"Customer Relationship and Response Profile\")\n",
        "plt.tight_layout()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 725
        },
        "id": "Cjb-EFxaSJln",
        "outputId": "30f2bd86-aa5c-4c4d-de8b-d67389c5389e"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ],
            "image/png": 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TJ07MK6+8kkMOOSQ///nP88QTT6ShoSELFy7M73//+7z11lsf+rxMkqeffjp33XVXlixZkuuuuy41NTXZbrvtsu2226Z9+/YZP358Fi9enKlTp+bee+9d6WPxXk8++WSeeOKJLF68OGuttVZqamrStm3btG3bNoccckjOO++8xr1m5syZkwceeGC17vuKrMnX1Je+9KVccskljfFs/vz5Hzg3CQAfX4IFAEU69thjM2LEiFx22WXZZZddsttuu+WGG27InnvumeSf52fo0aNH+vfvn2OPPXa5N2+LFi3Kj370o/Tt2zf9+vXL/Pnzc9pppyVJ4x4bffv2zQEHHJAkueiiizJ79uzsuuuuGTZsWE4++eR89rOf/ZfmvuCCC7J48eIMGjQoO+64Y4YPH55XXnnl33ko8tWvfjU33nhj5s2b1+Tbf/eviAwYMCD9+/dPbW3tcoc9rOhxeK+DDjoo++23X4488sjsscceqampyXe/+90mzfvAAw9k3333Ta9evfL9738/F1988UrP17Eq7/6ViWOOOSbHHnvscofDvNfZZ5+dsWPHplevXrn00ks/cKLPDzNs2LB069Yte+yxR4499tgMHTp0tWbcaqut0qdPn1x99dXZZpttcu6552bMmDHZcccds/fee+emm25K8uHPyyTZY489ctttt2XHHXfMLbfcknHjxqVdu3apqanJ5Zdfnvvvvz8777xzRo8enQsuuKBxz5MPs2DBgpx11lnZaaedsvvuu6dDhw756le/miT51re+lc022yyHHnpoevfunWOOOabJ5zhZlTX1mjr66KMbX+O9evXKoYcemieffHKNzAhA+do0vLtvKABAIf7+979njz32yNNPP/0vn3z1o2TcuHF58cUXc+GFF7b0KABQDHtYAAAAAMURLAAAAIDiOCQEAAAAKI49LAAAAIDifGzOYrVs2bIsWLAg7dq1W62/cQ8AAABUXkNDQxYvXpx11llnhX8C/WMTLBYsWJBnn322pccAAAAAVsOnP/3prLfeeh+4/GMTLNq1a5fkn3e0pqamhacBAAAAPsyiRYvy7LPPNr6ff7+PTbB49zCQmpqa1NbWtvA0AAAAQFOs7LQOTroJAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAoTkWCxfnnn5/+/ftnq622yrPPPrvCZZYuXZrRo0dnzz33zF577ZWJEydWYjQAAACgQBUJFnvssUduuOGGbLTRRitd5tZbb82sWbNy11135Re/+EXGjRuXv//975UYDwAAAChMRYJFnz590rVr1w9d5rbbbsshhxyStm3bpmPHjtlzzz1zxx13VGI8AAAoypQpU3LaaadlypQpLT0KFWS7t062+8pVt/QA76qrq0u3bt0av+7atWtefvnl1b6dp556ak2OBQAAFXfZZZdl9uzZefXVV9OuXbuWHocKsd1bJ9t95YoJFmvK1ltvndra2pYeAwAA1ogddtihpUegBdjurVNr2+719fUfutNBMX8lpGvXrnnppZcav66rq8uGG27YghMBAAAALaWYYDFw4MBMnDgxy5Yty/z583P33XdnwIABLT0WAAAA0AIqEiy+973v5fOf/3xefvnlfOUrX8m+++6bJDnuuOMyffr0JMnQoUOz8cYbZ++9986hhx6ak046KZtsskklxgMAAAAKU5FzWJx11lk566yzPnD5VVdd1fh5VVVVRo8eXYlxAAAAgMIVc0gIAAAAwLsECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcaortaKZM2dmxIgRef3119OhQ4ecf/752XzzzZdbZt68eTnzzDNTV1eXJUuWpG/fvjnrrLNSXV2xMQEAAIACVGwPi7PPPjuHH3547rzzzhx++OEZNWrUB5a5/PLL071799x666359a9/naeffjp33XVXpUYEAAAAClGRYDFv3rzMmDEjgwcPTpIMHjw4M2bMyPz585dbrk2bNlmwYEGWLVuWRYsWZfHixenSpUslRgQAAAAKUpFjLerq6tKlS5dUVVUlSaqqqtK5c+fU1dWlY8eOjcudeOKJOfnkk9OvX7+8/fbbOeKII7LDDjus1rqeeuqpNTo7AABUWn19fePHadOmtfA0VIrt3jrZ7itX1Mkh7rjjjmy11Va57rrrsmDBghx33HG54447MnDgwCbfxtZbb53a2tpmnBIAAJrXuz/P1tbWrvYv8Pjost1bp9a83evr6z90p4OKHBLStWvXzJkzJ0uXLk2SLF26NHPnzk3Xrl2XW27ChAnZb7/90rZt26y33nrp379/pk6dWokRAQAAgIJUJFh06tQpPXv2zOTJk5MkkydPTs+ePZc7HCRJNt5449x///1JkkWLFuWRRx7Jpz71qUqMCAAAABSkYn8l5JxzzsmECRMyYMCATJgwIaNHj06SHHfccZk+fXqSZOTIkZk2bVqGDBmS/fffP5tvvnkOPfTQSo0IAAAAFKJi57Do3r17Jk6c+IHLr7rqqsbPN91001xzzTWVGgkAAAAoVMX2sAAAAABoKsECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFCcigWLmTNn5rDDDsuAAQNy2GGH5a9//esKl7vtttsyZMiQDB48OEOGDMmrr75aqREBAACAQlRXakVnn312Dj/88AwdOjS33HJLRo0alZ/+9KfLLTN9+vT8+Mc/znXXXZcNNtgg//jHP1JTU1OpEQEAAIBCVGQPi3nz5mXGjBkZPHhwkmTw4MGZMWNG5s+fv9xy1157bY499thssMEGSZL11lsvtbW1lRgRAAAAKEhFgkVdXV26dOmSqqqqJElVVVU6d+6curq65ZZ7/vnn87e//S1HHHFEDjjggFx22WVpaGioxIgAAABAQSp2SEhTLF26NH/5y19yzTXXZNGiRfna176Wbt26Zf/992/ybTz11FPNOCEAADS/+vr6xo/Tpk1r4WmoFNu9dbLdV64iwaJr166ZM2dOli5dmqqqqixdujRz585N165dl1uuW7duGThwYGpqalJTU5M99tgjTz755GoFi6233tphJAAAfKS9+/NsbW1tdthhhxaehkqx3Vun1rzd6+vrP3Sng4ocEtKpU6f07NkzkydPTpJMnjw5PXv2TMeOHZdbbvDgwXnwwQfT0NCQxYsXZ8qUKenRo0clRgQAAAAKUrE/a3rOOedkwoQJGTBgQCZMmJDRo0cnSY477rhMnz49SbLvvvumU6dOGTRoUPbff/9sueWWOfjggys1IgAAAFCIip3Donv37pk4ceIHLr/qqqsaP2/btm3OPPPMnHnmmZUaCwAAAChQxfawAAAAAGgqwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxVjtYLFu2LHPnzm2OWQAAAACSrEawePPNN/PNb34z2267bfbee+8kyT333JOLL7642YYDAAAAWqcmB4uzzz476667bu699960a9cuSdKrV6/cfvvtzTYcAAAA0DpVN3XBRx55JA888EDatWuXNm3aJEk6duyYefPmNdtwAAAAQOvU5D0s1ltvvbz22mvLXfbSSy9lgw02WONDAQAAAK1bk4PFIYcckuHDh2fKlClZtmxZHn/88Zxxxhn54he/2JzzAQAAAK1Qkw8JOe6441JbW5sxY8ZkyZIlGTlyZA477LB8+ctfbs75AAAAgFaoycGiTZs2+fKXvyxQAAAAAM2uyYeETJkyJX/729+SJK+88krOOOOMnHnmmXnllVeabTgAAACgdWpysBg9enSqqqqSJD/84Q+zZMmStGnTJt/97nebbTgAAACgdWryISFz5sxJt27dsmTJkjz44IO59957065du+y6667NOR8AAADQCjU5WKy77rp59YGcIfQAACAASURBVNVX89xzz6V79+5ZZ511smjRoixZsqQ55wMAAABaoSYHiyOPPDIHH3xwFi9enJEjRyZJ/vjHP2aLLbZotuEAAACA1qnJweL444/PXnvtlaqqqmy66aZJki5duuR73/tesw0HAAAAtE5NDhZJ8h//8R9JkmXLliVJNttsszU/EQAAANDqNTlYPP300xkzZkz+8pe/pL6+PknS0NCQNm3a5M9//nOzDQgAAAC0Pk0OFiNGjMjuu++e8847L+3bt2/OmQAAAIBWrsnBYvbs2Tn11FPTpk2b5pwHAAAAIG2buuBee+2VBx98sDlnAQAAAEiyGntY1NfXZ9iwYdlhhx3yyU9+crnvXXDBBWt8MAAAAKD1anKw2HLLLbPllls25ywAAAAASVYjWAwbNqw55wAAAABo1ORgkSRTp07NpEmTMnfu3HTu3DlDhw7Nzjvv3FyzAQAAAK1Uk0+6OXHixJxyyinZYIMNstdee6Vz58755je/mRtvvLE55wMAAABaoSbvYTF+/Phcc8016dGjR+Nl++yzT4YPH55DDz20WYYDAAAAWqcm72Hx+uuvp3v37stdtsUWW+SNN95Y40MBAAAArVuTg0Xv3r3zwx/+MG+//XaSZOHChbngggvSq1evZhsOAAAAaJ2afEjI6NGjc+qpp6ZPnz5Zf/3188Ybb6RXr1750Y9+1JzzAQAAAK1Qk4NF586dc8MNN+Tll19u/CshG264YXPOBgAAALRSTT4kJEnefPPNPProo43/3nzzzeaaCwAAAGjFmhwsHnnkkfTv3z/XX399pk+fngkTJqR///555JFHmnM+AAAAoBVq8iEh5557bsaMGZNBgwY1Xnb77bdn9OjRueOOO5plOAAAAKB1avIeFnPnzs2AAQOWu2yvvfbKq6++usaHAgAAAFq3JgeLoUOH5oYbbljusp/97GfZf//91/hQAAAAQOvW5ENCZsyYkZ///OcZP358unTpkjlz5mT+/PnZdtttc8QRRzQu9/6oAQAAALC6mhwsDj300Bx66KHNOQsAAABAktUIFgcccEBzzgEAAADQqMnnsJg8eXKef/75JMkLL7yQI488MkcddVTjZQAAAABrSpODxSWXXJL1118/SXLBBRdkm222yU477ZTRo0c323AAAABA69TkQ0Lmz5+fT37yk6mvr8+0adMyduzYVFdXZ+edd27O+QAAAIBWqMnBomPHjnnxxRfz7LPPZptttklNTU3efvvtNDQ0NOd8AAAAQCvU5GBx4okn5sADD0xVVVUuvvjiJMnDDz+cHj16NNtwAAAAq1L/Tn1q29e29Bi8R6W2yaJ3FqWmfU2zr4emW5PbpMnB4sADD8w+++yTJFlrrbWSJNtvv30uuuiiNTIIAADAv6K2fW227bpDS4/xb/tE9/VSXVuVF1+Y9ZG/P0/WTavIemra1+SAzfasyLqay1ubNiQ1Sd3M2R/5+5IkN7949xq7rSafdDNJ3nnnndx555256qqrkiRLlizJ0qVL19gwAAAAAMlqBItHH300AwcOzK233prLLrssSfLiiy/mnHPOaa7ZAAAAgFaqycHivPPOyyWXXJKrr7461dX/PJJku+22y5NPPtlswwEAAACtU5ODxezZs7PLLrskSdq0aZMkadeunUNCAAAAgDWuycGie/fueeCBB5a77OGHH86nP/3pNT4UAAAA0Lo1+a+EjBgxIl//+tez22675Z133smoUaNy7733Np7PAgAAAGBNafIeFttvv31+/etfZ8stt8xBBx2UjTfeOBdffHHGjx/fnPMBAAAArdAq97B4++23c8UVV+SZZ57JZpttlpNPPjnz58/P+eefn5/85CfZf//9KzEnAAAA0IqsMliMGTMmM2bMSL9+/XL//ffn2WefzQsvvJADDjgg5557bjp27FiJOQEAAIBWZJXB4oEHHsgtt9ySTp065aijjspuu+2W66+/PjvuuGMl5gMAAABaoVWew2LhwoXp1KlTkmTDDTfM2muvLVYAAAAAzWqVe1gsXbo0U6ZMSUNDQ+Nl7/96l112aZ7pAAAAgFZplcGiU6dOGTlyZOPXHTp0WO7rNm3a5J577mme6QAAAIBWaZXB4t57763EHAAAAACNVnkOCwAAAIBKEywAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMWpWLCYOXNmDjvssAwYMCCHHXZY/vrXv6502RdeeCHbbbddzj///EqNBwAAABSkYsHi7LPPzuGHH54777wzhx9+eEaNGrXC5ZYuXZqzzz47e+65Z6VGAwAAAApTkWAxb968zJgxI4MHD06SDB48ODNmzMj8+fM/sOyVV16Z3XbbLZtvvnklRgMAAAAKVJFgUVdXly5duqSqqipJUlVVlc6dO6eurm655Z555pk8+OCDOeaYYyoxFgAAAFCo6pYe4F2LFy/Od7/73fzgBz9oDBv/iqeeemoNTgUAAJVXX1/f+HHatGktPE35dthhh5YegRWoxHPXti/Tmtr2FQkWXbt2zZw5c7J06dJUVVVl6dKlmTt3brp27dq4zCuvvJJZs2bl+OOPT5K8+eabaWhoyFtvvZVzzz23yevaeuutU1tbu8bvAwAAVMq7P8/W1tZ6Q8ZHludu69XUbV9fX/+hOx1UJFh06tQpPXv2zOTJkzN06NBMnjw5PXv2TMeOHRuX6datW6ZOndr49bhx47Jw4cKcccYZlRgRAAAAKEjF/krIOeeckwkTJmTAgAGZMGFCRo8enSQ57rjjMn369EqNAQAAAHwEVOwcFt27d8/EiRM/cPlVV121wuVPPvnk5h4JAAAAKFTF9rAAAAAAaCrBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAEChpkyZktNOOy1Tpkxp6VEAoOKqW3oAAABW7Nprr81zzz2XhQsXZuedd27pcQCgouxhAQBQqIULFy73EQBaE8ECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAwMfGovrFLT0C72ObAP+q6pYeAAAA1pSa2nYZvOVxLT3Gv+2dbnOTdslLf537kb8/k//3qpYeAfiIsocFAAAAUBzBAgAAACiOYAEAAAAUR7AAAAAAiiNYAAAAAMURLAAAAIDiCBYAAABAcQQLAAAAoDiCBQAAAFAcwQIAAAAojmABAAAAFEewAAAAAIojWAAAAADFESwAAACA4ggWAAAAQHEECwAAAKA4ggUAAABQHMECAAAAKI5gAQAAABRHsAAAAACKI1gAAAAAxREsAAAAgOIIFgAAAEBxBAsAAACgOIIFAAAAUBzBAgAAACiOYAEAAAAUR7A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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Marital Status Vs Response Rate\n",
        "plt.figure(figsize=(15,6))\n",
        "sns.histplot( x=\"Marital_Status\", data=df, hue=\"Response\",stat=\"percent\", multiple=\"stack\",palette='mako')\n",
        "plt.grid(False)\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "Ixht-LMZSJjB",
        "outputId": "8de039a6-7543-4522-e436-747ae8293836"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Customer's Relationship profile and Complain\n",
        "plt.figure(figsize = (15,10))\n",
        "sns.barplot(x='Marital_Status',y='Complain', data=df,palette=colors1)\n",
        "plt.xlabel('Relationship Profile')\n",
        "plt.title(\"Customer Relationship and Complain Profile\")\n",
        "plt.tight_layout()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 725
        },
        "id": "y9UvFyh6SJea",
        "outputId": "884085f0-7924-4b58-b835-8c14e07b32bc"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Most bought products\n",
        "pr = df[['MntWines', 'MntFruits', 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts', 'MntGoldProds']]\n",
        "pr_means = pr.mean(axis=0).sort_values(ascending=False)\n",
        "pr_means_df = pd.DataFrame(list(pr_means.items()), columns=['Product', 'Avg Spending'])\n",
        "plt.figure(figsize=(17,9))\n",
        "plt.title('Avg Spending on the different Products')\n",
        "sns.barplot(data=pr_means_df, x='Product', y='Avg Spending',palette='mako');\n",
        "plt.xlabel('Product Names', fontsize=20, labelpad=20)\n",
        "plt.ylabel('Av Spending', fontsize=20, labelpad=20)\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 595
        },
        "id": "R8OtjYx2SJbd",
        "outputId": "37446fa1-5211-4c99-a10a-3e75306b5374"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1224x648 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Customer Age and Amount Spent on Product Purchases [ Who spent how much]\n",
        "plt.figure(figsize=(10, 5),dpi=100)\n",
        "df['Total_purchase'] = df['MntWines'] + df['MntFruits'] + df['MntMeatProducts'] + df['MntFishProducts']+df['MntSweetProducts']+df['MntGoldProds']\n",
        "#plt.subplot(1, 1, 1)\n",
        "sns.barplot(x='Education',y='Total_purchase',data=df,palette=colors1,order=df['Education'].value_counts().index,hue='Marital_Status')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "vSyeCnqUSJU7",
        "outputId": "9e9a9310-8a40-4fea-fadf-cfbacd4c3e88"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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mVqxYYVV/+vTp7Nu3j2+//ZZLly7RuHFj5s+fT/v27a3q+fr6MmTIEIYOHfrQcR8+fPiRdHdK9nBxcaFq1ap0b9UrU0MZq/hUZs3WTzl69KhdllYVkcfPrFmzuH79OnBrMnz6Zqgi2e3y5ct8/fXXAHTq1MlmZWrJmjx58lCmTBmcnZ3tHYrYUWJiIhERETY9cLdzcnLCx8fnntd5rHvMdu/ezeTJkxk2bJhNt7CbmxsXL160OSe9+xIwetTuHIualJREfHy8US8zHB0ds7ynhDwa2bUtgoeHh3rMROSBODo6Wj1On/Mgkt0+//xzjh8/Dtxagn3q1Kn2DegJkpiYyIULF3B2ds7yyojy+MuTJ4+xYuSd/vrrrwe7RnYH9agcOnSIUaNG0aVLF0aNGmVz3NPTk/3799t0HYaHh1OpUiXg1kIiJUuWtNmYLjw8HIvFYjP37GGYTKYMFyqRJ1d2DIcUkX+G2/9f0v8XkpNuX3Xu3Llz+l3LRmazGbPZjIODwz9yy5yoqKh7Dml0dHSkQIECjzAi+3FwcMBsNuPi4pJhkv6gnQCPZWL2119/MWTIEOrXr8+0adMyrNO4cWOWLFnC/v37jUVBwsPDOXr0KAMHDrSqt337dl577TXjG8zNmzfj5uaGr69vzt+MiIiIiMhj5oUXXrjrcvMAdevW5ZNPPnmEET3+cl1iFh8fz+7du4Fb3/LcuHGDLVu2ALf+gS0WCwMGDMDZ2Zl+/fpZ7XP21FNPGcMHfX198ff3Z8KECbz++us4OzuzYMECvL29adWqlXHOgAED2LhxI2PGjKFnz54cP36cFStWMHr0aO1hJiIiIiKSgXfeeYfExMS7Hs9o82y5t1yXmF27ds1maGL6848//hjAmDvWv39/q3p3ZuYLFy5k1qxZTJ48mZSUFPz9/Zk4caLV3gTlypVjxYoVzJ49m8GDB1OoUCFGjhzJyy+/nBO3JyIiIiLy2KtVq5a9Q3ji5LrErHTp0vfdo+FB93BwdXVl5syZzJw58571atasabPBnIiIiIiIyKNitncAIiIiIiIi/3RKzEREREREROxMiZmIiMgT6F7LWD+K80VE5OHkujlmIiIiknUODg6MHz6R8BPhD32uh5cHs4PfzIGoRETkbpSYiYiIPKHCT4Tzx+E/7R2GiIg8AA1lFBERERERK19//TUvvPACtWrVombNmrRt25Z///vfXLt2zagTEBDA9OnTc6T9AwcO4O3tzeHDh3Pk+rmResxERERERHKQxWLBZDI9Nm0vX76cefPm0b9/f0aOHInFYuHEiRNs3LiRy5cvU7hwYQCCgoK0kXQ2UmImIiIiIpKDTCYTVy9eJTkp+ZG26+jkSJESRR76vE8++YSuXbsyfvx4o6xJkyYMHDiQtLQ0o6xq1arZEqfcoqGMIiIiIiI5LDkpmeTER/yTyUQwNjaWYsWKZXjMbP5f+nDnUMbx48fToUMHDhw4QJcuXahRowYvvPACR44csbpGXFwcY8eOxdfXFz8/P+bPn8+HH36It7f3PeOyWCysWLGC1q1bU61aNZo3b87KlSszdY+5kXrMRERERETE8Mwzz/D5559TunRpmjZtStGiRR/43CtXrvDmm28yePBgXF1dmTdvHoGBgWzbtg1HR0cA3njjDX788Udee+01SpUqxdq1a/n999/ve+233nqLdevWMXToUJ599llCQ0OZO3cuzs7O9OzZM9P3m1soMRMREREREcOUKVMIDAxk4sSJAJQuXZpmzZrRv39/Spcufc9zY2JiWLVqFV5eXgC4uLjQt29ffv31V2rXrs1ff/3Ftm3bePvtt+nSpQsAjRo1om3btve87tmzZ1m1ahXTpk2je/fuADRo0ICEhASCg4Pp3r27VW/e4+jxjl5ERERERLJVpUqVCAkJYdmyZfTt2xdXV1c++eQTOnXqxB9//HHPc4sVK2YkZQAVK1YE4NKlSwDGKovNmzc36pjNZpo1a3bP6/7www8AtGrVipSUFOOnQYMGXLlyhcjIyIe/0VxGPWYiIiIiImLFycmJJk2a0KRJEwD27t3LkCFDCA4OJigo6K7n3blKY/rwxcTERODWUEdHR0dcXV2t6hUqVOie8Vy/fh2LxUL9+vUzPB4ZGUmpUqXufVO5nBIzERERERG5p0aNGlG5cmVOnjyZpesULVqU5ORk4uLirJKzqKioe57n7u6OyWRi9erVRrJ3Ow8PjyzFlRsoMRMREREREcPVq1cpUsR6mf2EhAQiIyONoYmZVa1aNQC2b99uzDFLS0tj586d9zzPz88PgOjoaAICArIUQ26lxExEREREJIc5Otn28uTWNjt27EizZs3w9/enWLFiXLp0iVWrVnH9+nX69euXpZi8vLxo2bIlb775JvHx8Tz99NOsXbuWhISEe26E7eHhQa9evRg3bhwDBgzg2WefJTk5mdOnT3PgwAGWLFmSpbhyAyVmIiIiIiI5yGKxZGqj5+xq+14JT0YCAwPZuXMns2fPJioqioIFC+Lt7c3KlSvvOsfrYcycOZPp06czZ84cnJyc6Nq1K15eXnz66af3PG/ixIl4eHiwZs0agoODyZ8/Px4eHrRp0ybLMeUGSsxERERERHLQwyZG9m67V69e9OrV6771duzYYfV89uzZNnXc3Nw4duyYTdncuXNt2qxcubLxvF69ejbnmUwmevfuTe/eve8b2+NIiZmIiIiIiDwy3377LZGRkVSqVIn4+HhCQkI4ePAgwcHB9g7NrpSYiYiIiIjII5MvXz42bNjA6dOnSU5OxtPTk3feeYcWLVrYOzS7UmImIiIiIiKPTKNGjWjUqJG9w8h1zPYOQERERERE5J9OiZmIiIiIiIidKTETERERERGxMyVmIiIiIiIidqbETERERERExM6UmImIiIiIiNiZEjMREREREQHA29v7vj9ffvnlI4vn3LlzLF68mEuXLlmVHzhwAG9vbw4fPvzIYslp2sdMRERERCQHWSwWTCbTY9H2mjVrrJ53796dPn360KFDB6OsbNmy2Rbf/Zw/f56goCCaNm1K8eLFH1m79qDETEREREQkB5lMJn49foob8QmPtN2nXPLybCXPhzqnRo0aNmUlS5bMsPxJlpCQQN68eR9pmxrKKCIiIiKSw27EJxD7981H+pMTiWBaWhpLliwhICCAatWq0aZNGz7//HObetu2baN169b4+Pjw4osv8vvvv1O7dm0WL15sVW/Xrl1069aN6tWrU79+faZMmcLNmzeBW8MV+/btC8ALL7xgDKW8XWxsLGPGjMHX15dmzZqxfPlym1jCwsLo27cvNWrUoFatWowZM4Zr164Zx8+dO2cM0Zw4cSL16tWjW7duWX6tHpYSMxEREREReSBz5swhKCiIrl27snTpUvz9/ZkyZQqrVq0y6hw9epRRo0ZRsWJFgoKC6NKlC6NHjyYpKcnqWlu2bOH//u//qFSpEkFBQbz22mts27aNf//73wA888wzTJ48GYBZs2axZs0am6GWU6ZMoXz58gQHB9OsWTPmzp3Lnj17jONhYWH06dMHV1dXFixYwIwZMzh8+DDDhg2zubf58+djsViYN28er732Wra9Zg9KQxlFREREROS+oqKiWLVqFQMGDGDEiBEA+Pv7c/36dYKDg+nZsycODg68//77lC5dmsWLF2M23+oHyp8/P+PGjTOuZbFYmDNnDu3ateOtt94yyosWLcrgwYMZNmwYXl5eVKxYEQAvLy98fHxsYmrVqpURi5+fH7t27eLbb7+lcePGAMybN49q1aoRFBRkzLWrVKkSHTp0YPfu3TRp0sS4VuXKla1iedTUYyYiIiIiIvf122+/kZycTJs2bazK27ZtS1RUFKdPnwbg8OHDNG3a1EjKAJo3b251Tnh4OOfPn6dt27akpKQYP3Xr1sVsNnPkyJEHisnf3994bDKZqFChAhcvXgQgPj6e0NBQ2rRpQ2pqqtFG+fLlKVmypM2Kjk2bNn3QlyJHqMdMRERERETuKyYmBoAiRYpYlac/j46OBuDKlSsUKlTIqs5TTz2Fs7Oz8fz69esADB8+PMO2IiMjHygmV1dXq+eOjo7ExcUBt+afpaamMmvWLGbNmnXfNgoXLvxAbeYUJWYiIiIiInJfBQoUAODatWtWS9dfvXrV6njRokWJioqyOvfGjRskJibaXGvy5MlUr17dpq1ixYplOV5XV1dMJhNDhgyhRYsWNscLFixo9dxeWxqkU2ImIiIiIiL35ePjg6OjI1u2bKFq1apG+TfffEPhwoUpX768UW/Xrl2MHz/eGM743XffWV3L09OTEiVKEBERQa9eve7apqOjI4BVUveg8uXLR40aNTh16lSG89NyGyVmIiIiIiJyX4UKFaJ3796sWLECJycnatSowe7duwkJCWHSpEk4ODgAMGTIEF544QVGjBjBiy++yIULF/jwww9xdnY2eqVMJhPjx49n7Nix3Lx5k6ZNm+Li4sKFCxfYvXs3o0ePxsPDg/Lly+Pg4MD69evJkycPDg4OD5VkjRs3jn79+vHKK6/Qvn173NzcuHjxIj/88APPPfcc9erVy5HXKjOUmImIiIiI5LCnXB7tZsU51ea4ceNwdXXliy++YOnSpZQqVYpp06bRo0cPo07VqlVZuHAh8+bNIzAwEC8vL2bPnk3fvn2t5oS1bdsWNzc3li5dysaNGwEoVaoUjRo1MuatFSpUiMmTJ/PBBx/w9ddfk5KSwrFjxx443po1a7J69WoWL17MG2+8QXJyMiVKlKB+/fqUK1cum16V7KHETEREREQkB1ksFp6t5Gm3trMyd+rOJMhsNjN8+PC7LtqRrlWrVrRq1cp4vn//flJSUqhSpYpVvYYNG9KwYcN7XqtHjx5WiR9AvXr1MkzQlixZYlPm4+PDsmXL7nr90qVLP1Syl1OUmImIiIiI5CB7Liphr7anTp2Kn58fBQoU4K+//mLJkiVUrVqV2rVr2yWex4ESMxERERERyVaxsbHMmDGD6OhonnrqKRo1asTrr79utbeZWFNiJiIiIiIi2Wr+/Pn2DuGxo5RVRERERETEzpSYiYiIiIiI2FmuS8zOnDnD5MmT6dy5M1WrVqVDhw4Z1lu3bh2tW7fGx8eHTp06sXPnTps6cXFxTJgwgbp16+Lr68vIkSO5fPmyTb3Q0FC6d+9O9erVadasGcuWLcNisWT7vYmIiIiIiGQk1yVmJ06cYPfu3ZQrV44KFSpkWGfTpk1MmjSJtm3bsnz5cmrUqEFgYCCHDh2yqvfKK6+wb98+pk6dyty5cwkPD2fQoEGkpKQYdc6cOcOAAQMoWrQo77//Pv369WPRokV8+OGHOXqfIiIiIiIi6XLd4h8BAQG0aNECgPHjx3PkyBGbOosWLaJ9+/a88sorANSvX5/jx48THBzM8uXLAQgLC+P7779nxYoV+Pv7A+Dh4UG7du3YunUr7dq1A2DFihUULFiQ+fPn4+TkhJ+fH1FRUSxdupQ+ffrg5OT0KG5bRHKBiIgIgoKCAAgMDKRMmTJ2jkhERET+KXJdj9n9ltCMiIjg9OnTtG3b1qq8Xbt27N+/n6SkJAD27NmDm5ub1YZ1np6eVKlShT179hhle/bsoXnz5lYJWLt27YiNjSUsLCw7bklEHhPBwcEcPHiQgwcPZrhBpYiIiEhOyXWJ2f2cOnUKuNX7dbsKFSqQnJxMRESEUc/Dw8NmUz1PT0/jGjdv3iQyMhJPT0+bOiaTyagnIv8MZ8+eNR6fOXPGjpGIiIjIP02uG8p4PzExMQC4ublZlac/Tz8eGxuLq6urzfnu7u7G8Mi4uLgMr+Xk5ISLi4txrcywWCzcvHkz0+fLo2MymXBxccnydeLj47VozGPu9n8/vYclJ+X075o+1ySdPtdyTmJiImlpaaSmppKammrvcLJVUFAQS5YsoVixYuzYscNmRFuvXr0ICwujS5cuzJw5M8fimDBhAkeOHOHrr7/O8rW+++47Ro4cybZt2yhVqlQ2RPc/qamppKWlER8fT1pams1xi8Vi01mUkccuMXtcJCcn88cff9g7DHkALi4uVK1aNcvXCQ8PJz4+PhsiEntJTk62eqz3sOSUnP5d0+eapNPnWs7KkycPiYmJ9/SQO9kAACAASURBVKxjMpnImzfvfafr5JS0tDQSEhIe6kuWlJQU8uTJw/Xr1/nhhx+oXbu2cezChQscOnSIfPnykZqaSkJCQk6EDcBLL71EfHx8trSR/l5ITEzM9pgTExNJSUm552i7B1m34rFLzNzd3YFbvV1FixY1ymNjY62Ou7m5cfHiRZvzY2JijDrpPWrpPWfpkpKSiI+PN+plhqOjIxUrVsz0+fLoPMg3GA/Cw8ND3yw/5hwdHa0eV6lSxY7RyJMsp3/X9Lkm6fS5lnMSExO5cOECzs7O5M2b9551zWYzX+35jWsxfz+i6G4p7J6fLo2r4+zs/FDn5cmTB0dHR/z8/Ni2bZuxkB7Ajh07qFixImazGQcHh/ve+70kJCRkeH56uZeXV6avfaf098KD/HtlRp48eShbtmyGr/Vff/31YNfI7qByWvp8sFOnTlnNDTt16hSOjo7GKmqenp7s37/fpuswPDycSpUqAZAvXz5Klixpk92Gh4djsVhs5p49DJPJRL58+TJ9vjx+smPYkNjX7Z8Veg9LTnpcftf0ufb4e1x+1x5HZrPZSE4cHBzuW/9azN9cjIq7b72c8CDx3c5sNmMymejYsSPTpk1jypQpRmKzadMmOnbsyObNmzGZTDg4OHDy5EmCgoIIDQ0lOjqaUqVK8cILL9C/f3+jp/DcuXM0b96cWbNmERoayrZt2yhWrBgbN27E29ubMWPGEBMTw1dffcXNmzcJCwszVmgPCQkxYrt48SJz585l7969xMfH4+PjwxtvvEG1atWMOsnJycyZM4cNGzaQmppK69atqVevnnFvD/t63I+DgwNmsxkXF5cMk74H/bLssVv8o0yZMpQvX54tW7ZYlW/evBk/Pz+jm7Bx48bExMSwf/9+o054eDhHjx6lcePGRlnjxo3Zvn27VVf/5s2bcXNzw9fXN4fvRkREREQkd2rWrBlJSUns27cPuNXzc+zYMWPbqXSXL1/Gw8ODKVOmsGzZMl588UWCg4MzXOF4/vz5WCwW5s2bx2uvvWaUf/zxx5w+fZq33nqLd955J8N4YmJi+Ne//sWff/7JpEmTWLx4MS4uLvTr149r165ZtfHZZ58xYMAAFi5cSFpaGvPmzcuOlyRH5boes/j4eHbv3g3A+fPnuXHjhpGE1a1bl0KFCjFixAjGjh1L2bJlqVevHps3b+a3335j1apVxnV8fX3x9/dnwoQJvP766zg7O7NgwQK8vb1p1aqVUW/AgAFs3LiRMWPG0LNnT44fP86KFSsYPXq09jATERERkX8sFxcXAgIC2LRpE02bNiUkJARfX1+bfT79/Pzw8/MDbi10UatWLRISEli1ahWBgYFWdStXrsxbb71l05a7uztBQUH37F36z3/+Q2xsLOvWraNw4cJG261bt2bFihWMGzeO6OhoVq9ezaBBgxgyZAgAjRo1onfv3ly6dClLr0dOy3WJ2bVr1xg1apRVWfrzjz/+mHr16tGhQwfi4+NZvnw5y5Ytw8PDg6CgIJseroULFzJr1iwmT55MSkoK/v7+TJw4kTx5/nfb5cqVY8WKFcyePZvBgwdTqFAhRo4cycsvv5zzNysiIiIikot16NCBMWPGkJCQwObNm+nTp49NncTERN5//302btxIZGSk1Ui0v//+m/z58xvPmzZtmmE7jRs3vu+Qv3379lGvXj3c3d1JSUkBbg1NrFOnDocPHwbg+PHjJCQk0LJlS6tzW7Vqxc8///xA92wvuS4xK126NMeOHbtvvW7dutGtW7d71nF1dWXmzJn3XcazZs2arF279qHiFBERERF50vn7++Po6Mi7777LuXPnaNu2rU2dd955h3Xr1jF8+HCqVauGq6sr27dv57333iMxMdEqMUvv6brT3cpvd/36dQ4dOsQzzzxjc6xs2bIAXLlyJcPrFSlS5L7Xt7dcl5iJiIiIiEju4OjoSKtWrVi5ciV+fn4ZJjhbtmyhe/fuDB482ChLn5p0p7v1ij3IAhnu7u40atTIZnQd/G85+vRV269du0bx4sWN41evXr3v9e1NiZmIiIiIiNxVt27duHbtGi+++GKGxxMTE622ZkhNTWXTpk3ZHkeDBg34+uuvqVChwl1XGK1UqRJ58+Zl27ZtVvs5bt26NdvjyW5KzERERERE5K6qV6+e4QqL6Ro0aMC6deuoWLEiBQsWZPXq1SQlJWV7HP3792fjxo307t2bvn378vTTTxMVFcWvv/5K8eLF6d+/PwUKFKBHjx4sX76cvHnzUrVqVTZt2sTZs2ezPZ7spsRMRERERCSHFXbPf/9Kj2mbkyZNYsqUKcyYMQMXFxe6du1Ky5YtmThxYra2U7BgQdasWcPChQuZO3cu0dHRFC5cmGeffdZqsY8xY8aQmprKBx98QFpaGi1btmTMmDGMGzcuW+PJbkrMRERERERyUFqahS6Nq9utbbP5wTY4TjdixAhGjBhxzzobNmwwHhcpUoTg4GCbOrcv1HevBf7uVj579mybsqJFi2a43P7tnJycmDhxok1i2Llz53ueZ2+P3QbTIiIiIiKPk4dNjJ6UtuXhKDETERERERGxMyVmIiIiIiIidqbETERERERExM6UmImIiIiIiNiZEjMRERERERE703L5IiJiNxEREQQFBQEQGBhImTJl7ByRiIiIfajHTERE7CY4OJiDBw9y8OBBlixZYu9wRERE7EaJmYiI2M3Zs2eNx2fOnLFjJCIiIvalxExERERERMTONMdMREREREQMixcvNub/mkwm8ufPz9NPP02dOnXo1asXFSpUMOoGBATQtGlTJk+ebK9ws9WwYcOIi4vjk08+eeRtKzETEREREclBaWkWzGbTY9V23rx5+c9//gPA33//zfHjx1mzZg1r167lrbfeonPnzgAEBQXh5uaWrTH/UykxExERERHJQWaziY/XHeTilbhH2m6Joq707VY7U+eazWZq1KhhPG/YsCH/+te/GDx4MP/+97+pWbMmZcqUoWrVqtkV7n0lJCSQN2/eR9beo6Y5ZiIiIiIiOezilTjORcY80p/sTgSdnZ2ZNGkSycnJrFu3Drg1lHH69OkAfPnll1StWpWrV69anRcdHU21atX4/PPPjbKtW7fSuXNnfHx88Pf3Z9asWSQmJhrHDxw4gLe3N7t27WLkyJHUrFmTUaNGARAbG8uMGTNo3Lgx1apVIyAggHnz5lm1uWvXLrp160b16tWpX78+U6ZM4ebNm1Z1Tp48Se/evfHx8aFFixb897//zb4XKxPUYyYiIiIiIg+kYsWKFC9enLCwMJtjLVu2ZMqUKWzZsoXevXsb5Vu3bgWgTZs2AGzfvp2RI0fSvn17xowZw6lTp1iwYAGRkZEsWrTI6pqTJk2iU6dOBAcHYzabSUpKol+/fpw/f57hw4dTqVIlLl68yC+//GKcs2XLFkaPHs1zzz3HiBEjuHLlCvPmzSM2NpYFCxYAkJiYyMsvv4yLiwtz5swBYNGiRdy4cYPy5ctn62v2oJSYiYiIiIjIAytZsqRNrxiAq6srTZo0ISQkxCoxCwkJoWHDhhQoUAC4NS+tRo0aRi9X48aNcXFxYfLkyRw7dgxvb2/j3ICAAF577TXj+dq1azl69Ciff/45vr6+RnnXrl0BsFgszJkzh3bt2vHWW28Zx4sWLcrgwYMZNmwYXl5efPnll1y+fJlvvvnGSMSqVq1KmzZt7JaYaSijiIiIiIg8MIvFgsmU8YIi7du359ChQ1y4cAGAy5cv8/PPP9O+fXvg1kIif/zxB61bt7Y6r127dgBWPV8ATZs2tXq+f/9+KlSoYJWU3S48PJzz58/Ttm1bUlJSjJ+6detiNps5cuQIAL/99hteXl5WSVi5cuWoXLnyg70IOUA9ZiIiIiK5VEREhLFseWBgIGXKlLFzRCJw8eLFu/YqNWvWDBcXFzZt2sSgQYP45ptvcHZ2pkWLFgDExcVhsVgoXLiw1Xmurq44OTkRExNjVX5nvejoaIoVK3bX2K5fvw7A8OHDMzweGRkJ3EoY77x2enu3z3V7lJSYiYiIiORSwcHBHDx4EIAlS5Ywa9YsO0ck/3QnTpzg0qVLxtDBO+XNm5cWLVqwefNmBg0axObNm2nWrBn58uUDbiVgJpOJqKgoq/Pi4uJISkrC3d3dqvzOnrkCBQpw7Nixu8aXPlxy8uTJVK9e3eZ4elJXrFgxfv/9d5vj165d46mnnrrr9XOShjKKiIiI5FJnz541Hp85c8aOkYjcWjBjxowZODk50a1bt7vW69ChA0ePHmXv3r0cOnTIGMYIkD9/fqpUqcKWLVuszvnmm28AqFWr1j1jaNCgASdPnuTXX3/N8LinpyclSpQgIiICHx8fm5/ixYsD4OPjw4kTJ6zeV2fOnOHPP/+894uQg9RjJiIiIiKSw0oUdX2s2kxLS+PQoUMA3Lx509hgOiIigtmzZ1O6dOm7ntugQQMKFCjAhAkTcHNzo3HjxlbHAwMDGT58OGPHjqVTp06Eh4ezYMECWrdubbXwR0Y6d+7M6tWrGTx4MIGBgXh5eXHp0iUOHjzIjBkzMJlMjB8/nrFjx3Lz5k2aNm2Ki4sLFy5cYPfu3YwePRoPDw+ee+453nvvPYYMGWIsw79o0SKKFCmS6dcsq5SYiYiIiIjkoLQ0S6Y3es6Ots3mjBfquJeEhAS6d+8OQL58+ShdujR+fn4EBQVRoUKFe57r6OhI69atWbNmDS+88AJOTk5Wx5s3b867775LcHAww4YNo0CBArz44ouMGTPmvnE5OTmxcuVKFixYwPvvv090dDQlSpSw6pVr27Ytbm5uLF26lI0bNwJQqlQpGjVqZCReefPm5cMPP2Tq1Km89tprFC9enGHDhrF9+3bi4h7tRuDplJiJiIiIiOSgzCRG9mx7xIgRjBgx4oHq7tixI8Py6dOnGxtPZ6R169Y2KzPerl69enedS+bu7s7UqVOZOnXqXc9v2LAhDRs2vOtxAC8vLz799FOrsueff/6e5+QkJWaS62lFKhF5XKWlpWE2Z346d1bPFxGRx4cSM8n1tCKViDyuzGYzH8zfQeS561bl0VE3rR7PeHW9zbklSxdk4KsBOR6jiIjkDkrMJNfTilQi8jiLPHeds6euWZWlpqRaPb7zuIiI/PNofISIiIiIiIidKTETERERERGxMyVmIiIiIiIidqbETERERERExM6ytPjHpUuX+Pnnn7l27RqtW7emRIkSpKamEhcXh6urKw4ODtkVp4iIiIiIyBMrU4mZxWJh9uzZfPrpp6SkpGAymahUqRIlSpTg5s2bBAQEMHLkSPr375/N4YqIiIiIiDx5MjWU8YMPPuDjjz/m5Zdf5qOPPsJisRjHXF1dadWqFVu3bs22IEVEREREJOd98cUXeHt7c/r0aavyTz75BG9vbxYtWmRVHh0dTeXKlVm+fDkBAQFMnz79ntePjY3F29ubL7/8MrtDf+xlqsds3bp1dOnShVdffZXr16/bHPf29mbPnj1ZDk5ERERE5HGXlpaG2WyfpR0etu2aNWsCEBYWRvny5Y3y0NBQXFxcCAsLs6ofFhaGxWKhVq1aNGzYEDc3t2yJ+58oU4lZZGQkvr6+dz3u4uLCjRs3Mh2UiIiIiMiTwmw288H8HUSes+3QyEklSxdk4KsBD3WOp6cnhQoVIjQ0lK5duxrl6c+/+uorUlNTjbUkQkNDcXZ2plq1ajg5OWVr/P80mUrMChcuTGRk5F2P//7775QsWTLTQYmIiIiIPEkiz13n7Klr9g7jgdSsWZPQ0FDj+YULF7h48SJ9+/Zl7dq1HDt2jKpVqwK3ErP0pCwgIICmTZsyefJk49y1a9eydOlSrl27Ro0aNRg7dqxNe2lpaSxdupQvvviCy5cvU7p0afr370+PHj2AW51CTZs2ZeXKlfj5+QEwY8YMVq1axfvvv0/Tpk0BmDdvHjt27GDTpk059dLkqEz1qbZs2ZLPP/+ciIgIo8xkMgHw/fff89///pc2bdpkT4QiIiIiIvLI1KxZk5MnTxITEwPcSr5KliyJh4cH3t7eRtKWnJzM4cOHqVWrVobX2blzJ5MmTaJevXoEBQXh5+fHqFGjbOrNmTOHoKAgunbtytKlS/H392fKlCmsWrUKgJIlS1KqVCl+/vln45yffvoJZ2dnq7Kff/6Z2rVrZ9vr8Khlqsds5MiRHDhwgM6dO1O7dm1MJhPLly/n3Xff5dChQ1SpUoWhQ4dmd6wiIiIiIpLDatWqhcVi4dChQzRp0oSwsDBjGlPNmjUJCwujd+/eHD16lMTExLsmZu+99x61a9dm1qxZADRq1IjExESWLFli1ImKimLVqlUMGDCAESNGAODv78/169cJDg6mZ8+eODg4UKdOHSMJi4mJ4cSJE/Tq1csoS0hI4MiRI/Tu3TvHXpeclqkeM1dXV9auXcvAgQO5dOmSka3GxcUxfPhwVq9ejYuLS3bHKiIiIiIiOeyZZ54hb968Rs9YaGiokZjVqFHDqtxkMmW49kRqaiq///47LVu2tCpv3bq11fPffvuN5ORkm9F2bdu2JSoqylgdsnbt2vz2228kJSVx8OBBihQpQrdu3fj999+5efMmYWFhJCcnU6dOnWx5Dewh0xtM582bl2HDhjFs2LDsjEdEREREROzI0dERHx8fQkND+fvvvzl27JiRfPn6+hpzzkJDQ6lYsSLu7u4214iKiiIlJYVChQpZlRcpUsTqefpwyTvL059HR0cDULduXRISEjh8+DAHDx6kTp06VKpUiXz58hEWFkZoaChlypShePHi2fMi2EG2rtsZERHByZMns/OSIiIiIiLyiNWqVYvDhw/zyy+/4OTkRJUqVQAoVaoURYsWJTQ0lLCwMGN5/TsVKlSIPHnyEBUVZVV+9epVq+cFChQA4Nq1axnWSz9erlw5ihUrxsGDB425ZGazmVq1avHTTz899vPLIJOJ2ccff8zo0aOtysaPH0+rVq3o0KEDzz33nM2Lm522b99Ot27d8PX1xd/fn1GjRlktRJJu3bp1tG7dGh8fHzp16sTOnTtt6sTFxTFhwgTq1q2Lr68vI0eO5PLlyzkWu4iIiIhIblezZk3i4+P59NNP8fHxIU+ePFbHNmzYwJUrV+6amDk4OFC1alW2bdtmVf7tt99aPffx8cHR0ZEtW7ZYlX/zzTcULlzYai+12rVrs2vXLv744w/q1q0LQJ06dfjhhx/49ddf/5mJ2bp16yhcuLDxfO/evXz11Ve8+OKLTJw4kXPnzhEUFJRtQd7uwIEDBAYGUrFiRYKDg5kwYQJ//vknL7/8MgkJCUa9TZs2MWnSJNq2bcvy5cupUaMGgYGBHDp0yOp6r7zyCvv27WPq1KnMnTuX8PBwBg0aREpKSo7ELyIiIiKS2/n6+mI2m9m9e7fNHLIaNWqwe/dugLsu/AEwdOhQDh48yBtvvMHevXtZunQpGzZssKpTqFAhevfuzYoVKwgKCuL777/nrbfeIiQkhGHDhhn7pcGtxCw0NBRXV1cqVqwI3ErMfvvtNxISEh7r+WWQyTlmFy5coEKFCsbzb775htKlSzNt2jTgVtfjnS96dtm0aRNPP/00M2fONJboL1SoEP369ePIkSNGprxo0SLat2/PK6+8AkD9+vU5fvw4wcHBLF++HLi1U/n333/PihUr8Pf3B8DDw4N27dqxdetW2rVrlyP3ICIiIiL/LCVLF3ys2nRzc6NixYocP37cJjHz9fXFYrFQrFgxypQpc9drNG/enGnTprF06VI2bdrEs88+y8KFC+nWrZtVvXHjxuHq6soXX3zB0qVLKVWqFNOmTTP2MUuX3ktWq1YtIw+oWrUq+fLlI3/+/JQrVy7T95sbZCoxs1gsVs/37dtH8+bNjeelSpWyGT+aXVJSUsifP7/xjwG3Vom8Pa6IiAhOnz7Na6+9ZnVuu3btmDNnDklJSTg5ObFnzx7c3Nxo2LChUcfT05MqVaqwZ88eJWYidhAREWH0uAcGBt7zA19ERORxkJaWxsBXA+zWttmcuWUlNm7cmGG5r68vx44dsynfsWOHTVmPHj1sEqw7zzWbzQwfPpzhw4ffMx4vLy+bc/PkyUNYWNg9z3tcZCoxK1++PN999x09e/Zk7969XL58mcaNGxvHL168iJubW7YFebvnnnuODRs28Omnn9KpUyeio6OZP38+VatWNca4njp1CrjV+3W7ChUqkJycTEREBBUqVODUqVN4eHhYJXlwKzlLv0ZmWSwWbt68maVryC23fxGQE6+ryWTKlu0d4uPjbb60kIe3aNEiYxnexYsXM3Xq1EfWdk7/romtJ/k1t+dniz7XnhxZfY88ye8xe0tMTCQtLY3U1FRSU1PvW/9B6uQUe7b9T5CamkpaWhrx8fGkpaXZHLdYLDb5RkYylZgNGDCAMWPGUKdOHeLj46lQoYIxFBBuzQOrXLlyZi59X7Vr1yYoKIgxY8Ywffp0AKpUqcIHH3xgjEFNX3bzzuQw/Xn68djYWKO37Xbu7u4cOXIkS3EmJyfzxx9/ZOkacktycrLV4+x+XV1cXKhatWqWrxMeHk58fHw2RPTPFh4ebjw+derUQ/17X758ma+//hqATp06UaxYsQzrOTo6Wk1iTnf73NKUlBRj75SM6t3+eymZl9Pvb3uy52eLPteeHFl9jzzJ77HcIE+ePCQmJto7DLGzxMREUlJS7tmx4+TkdN/rZCoxa9++PQUKFGD37t24ubnxr3/9y/gjJzo6Gnd3dzp37pyZS99XaGgo48aN48UXX6Rp06ZER0ezZMkSBg8ezOrVq8mbN2+OtPuwHB0djUmJkjWOjo5Wj9OXa80uD/INxoPw8PDQN8vZICv/3p9//jnHjx8HYOfOnRn2tplMJpycnHFwsB3WcWfbd/vDNjU1jaSkRP17Z4Ocfn/bkz0/W/S59uTI6nvkSX6P2VtiYiIXLlzA2dk51/z9KfaTJ08eypYti7Ozs82xv/7668GukdnGGzZsaDU3K12BAgVybEVGgDfffJP69eszfvx4o6xGjRo0bdqUDRs20L17d2OTu7i4OIoWLWrUi42NBTCOu7m5cfHiRZs2YmJiMtwo72GYTCby5cuXpWvILbf/gZGbX9fsGDYkWfv3Pn/+vPH43Llz9zz3g/k7iDx33aosOuqm1eMZr663Oa9k6YIMfDVA/97Z5HF5f9uTPX/X9Htuf1l9j+g9lnPMZjNmsxkHBwerlQPln8fBwQGz2YyLi0uGSfqDflmW6cTMXk6ePGm10AhAiRIlKFiwIGfPngVuzRGDW8Og0h+nP3d0dDQWE/D09GT//v024z7Dw8OpVKlSTt+KiNhR5LnrnD1lvd9iakqq1eM7j4uIiIjklEwnZn/++SerVq3i6NGjxMXF2Ux0M5lMfPfdd1kO8E5PP/00R48etSo7f/48169fp1SpUgCUKVOG8uXLs2XLFlq0aGHU27x5M35+fsYYz8aNG7NkyRL2799PgwYNgFtJ2dGjRxk4cGC2xy4iIiIiIpKRTCVmBw4cYODAgbi7u1OtWjWOHj1K/fr1SUxM5NChQ1SsWJFq1apld6zArSU3Z86cyZtvvklAQADR0dG89957FC5cmLZt2xr1RowYwdixYylbtiz16tVj8+bN/Pbbb6xatcqo4+vri7+/PxMmTOD111/H2dmZBQsW4O3tTatWrXIkfhERERERkTtlKjFbtGgRZcqUYe3atSQlJdGgQQOGDBmCn58fv/76K4MGDWLs2LHZHSsAffv2xcnJic8++4z169eTP39+atSowcKFCylY8H+b6HXo0IH4+HiWL1/OsmXL8PDwICgoyGaDvIULFzJr1iwmT55MSkoK/v7+TJw4McMV20RERERERHJCprKPo0ePMmLECJ566ilj6fn0oYzPPvss3bt3591336VJkybZF+n/ZzKZ6NmzJz179rxv3W7dutnsLH4nV1dXZs6cycyZM7MrRBERERERkYeSqW3AHRwcyJ8/P3BrZcM8efJw7dr/JsmXKVOGkydPZk+EIiIiIiIiT7hMJWZly5Y1Nl41mUx4enpaLfSxa9cuihQpki0BioiIiIiIfXTq1Alvb28OHjxoVX7gwAG8vb05fPiwnSJ78mQqMWvSpAmbNm0iJSUFgJdeeomtW7fSqlUrWrVqxY4dO+jevXu2BioiIiIi8jhKS027f6Vc2PaJEyc4duwYABs3bsyukOQuMjXHbNiwYfTt29fYTK9r166YzWa2bt2Kg4MDQ4cO5bnnnsvWQEXk8RAREWFsMh8YGGjsGygiIvJPZXYwM/fVD4g4GflI2y1ToSRj52d+C6iNGzdiNpupU6cOW7ZsYeLEiTg6OmZjhHK7TCVmjo6OVisgAnTu3JnOnTtnS1Ai8vgKDg42hjssWbKEWbNm2TkiERER+4s4GcnJ38/aO4wHZrFYCAkJoX79+vTt25ehQ4eyd+9eAgIC7npOYmIi8+fPZ9OmTcTExODp6UlgYCAtW7Y06owfP54jR44wadIkZs2axenTp6lYsSJTp0612m7LYrHw4YcfsnbtWs6fP0/x4sXp06cP/fv3z8nbtqtMDWUUEbmbs2f/95/OmTNn7BiJiIiIZFZoaCjnz5+nQ4cO+Pv7U6BAAUJCQu55ztixY1mzZg0DBw4kODiYihUrMmLECLZv325V78qVK7z55psMGDCAhQsXkpiYSGBgIMnJyUadt956i0WLFtGlSxeWLVtG165dmTt3Lp999lmO3G9ukOnNuvbu3csXX3xBREQEsbGxWCwWq+Mmk8lqQRAREREREXk8hISE4OzsTKtWrXB0dKR169Z8/fXX/P3338bq7Lf7888/2bp1K9OmTaNHjx4ANG7cmPPnzxMcHEzz5s2NujExMaxatQovLy8AXFxc6Nu3L7/++iu1a9fm7NmzrFq1imnTphnrVjRo0ICEhASCg4Pp3r073bsAggAAIABJREFUZvOT17+UqTv64IMPGDx4ML/88gslSpSgTp061K1b1+qnTp062R2riIhIrhAREcHrr7/O66+/TkREhL3DERHJVikpKWzZsoUmTZrg6uoKQMeOHYmPj2fbtm0ZnvPLL78A0KZNG6vytm3bcvToUW7evGmUFStWzEjKACpWrAjApUuXAPjhhx8AaNWqFSkpKcZPgwYNuHLlCpGRj3au3qOSqR6zjz/+mPr167Ns2TJNABQRkfuyWCyYTCa7nZ/dNJdSRJ5k+/btIyoqimbNmhEbGwtApUqVKFq0KCEhIXTp0sXmnJiYGBwdHSlQoIBVeZEiRbBYLMTFxZEvXz7g1j7It0vPJxITEwG4fv06FouF+vXrZxhfZGQkpUqVytpN5kKZSsxiY2Np3bq1krLHiFbKExF7MplMXL14leSkZKvy1JRUq8eRZ22/BXV0cqRIidy1N6bmUorIkyx9afw33niDN954w+rY9evXuXbtms057u7uJCcnExMTg7u7u1F+9epVTCaT0fP2INzd3TGZTP+PvTuPi6L+/wD+2oXlZkEQFVITvEEUUgMU8cZQUSvPSqy+XiWVGima+fUGyyNF0K+amqllYocioXmk5ZWYWuZRiAeaKB7Aci+7+/uDHxvrorIXw8Lr+Xj4cHZmPp95z84wu+/9fOYz2LZtW6X5hqenZ5XrMid6JWa+vr64evWqsWMhE+Kvu6QLJvJkCvISOeTFmolZxfuTVSqV1nIiY+F1jahqCgsLceDAAfTp0wcREREay+7du4epU6ciOTkZrVq10ljWsWNHAEBKSorG84xTUlLg7e2tbi2riqCgIABAdnb2E0eBrG30SszmzJmDcePGoV27dggPDzd2TGQC/HWXdMFEnohqG17XiKrmwIEDKCgowOjRoxEQEKC1fP369UhKSsLUqVM15rdp0wahoaGIjY1FUVERPD09sWvXLpw5cwYJCQk6xeDp6YlXX30V06ZNw3/+8x906NABcrkc165dw8mTJ3Wuz1xUKTGrLPkqLS3FtGnTMGfOHDRq1EhrZBSRSIRdu3YZJ0oiqlZM5ImotuF1jYTWpLm7WWwzKSkJHh4elSZlADBkyBAsWrRI42+q3CeffIJly5Zh3bp1yM7OhpeXF1auXKlXq9esWbPg6emJ7du3Iz4+Hvb29vD09NQaXKQ2qVJi9uhNfOXznn32WaMHRERERERUmygVSkQtGyvYtsUWVR+Ifc2aNU9cPmbMGIwZMwYAMGzYMI1lNjY2mDlzJmbOnPnY8rGxsVrzpFIpLl++rDFPJBLhtddew2uvvVbV0M1elRKzL774wtRxUC3Gfv1ERERUl+mSGNWmbZNueKTI5Mr79aemptbaPsFERERERIbQKzFLSkpCdHT0Y5fPmDEDycnJegdFtQv79RMRERERPZleidmmTZtgZWX12OXW1tb4/PPP9Q6KiGo/pVL19JVMWJ6IiIioJtFruPyrV6/i5ZdffuzyNm3aYM+ePXoHRUS1n1gswndHfsf9nHyN+XkFxRrTn+0+rlXW1ckeQ0LamzxGIiIiouqiV2KmUqkgk8keuzw3NxelpaV6B0VEdcP9nHxkPtC8liiUSo3pR5cTERER1UZ6dWX09vZGUlISSkpKtJaVlJRg9+7daNu2rcHBERERERER1QV6JWbjxo3D33//jYiICBw8eBAZGRnIyMjAgQMHMHr0aKSlpWH8+PHGjpWIiIiIiKhW0qsrY/fu3bFw4UIsXLgQkyZNUs9XqVSwt7fH/Pnz0aNHD2PFSEREREREVKvplZgBwEsvvYTQ0FAcPXpUPRx606ZN0bVrVzg4OBgtQCIiIiIiEsagQYNw+fJlbN26FZ06dVLPP3nyJCIiIpCYmAhfX18BI9R28eJFDBkyBJs3b0ZAQIDQ4VSZzolZYWEhevTogXHjxmHs2LHo16+fKeIiIiIiIiIB/f3337h8+TIAYPfu3RqJGRmfzveY2drawsLCAra2tqaIh54gIyMD06dPx/Tp05GRkSF0OERERERUBQqFwiy3vXv3bojFYgQEBCAlJQVyudyIkRmmpKQEygojOdcGenVlDA0Nxd69e/HKK69AJBIZOyZ6jPj4eKSmpgIAEhISEBMTI3BERERERPQ0FhYWiJ40C1f/vlqt2/Vs6YnY+AV6lVWpVEhKSkJgYCAiIiIwceJE/Pzzz+jVq5fGeg8ePEBkZCR++eUXODg44LXXXsPEiRPVyzMzMxETE4NTp05BJpPBzc0Nffr0wcyZMwEA0dHROH/+PJKSktRlcnNz0blzZ8TExOCll14CAPTq1Qs9evSAu7s7tm3bhtu3b+PYsWNwcXFBQkICtm7dioKCAnTt2hUjR47Ua5+FpldiNmDAAMydOxcREREYNmwYnnnmGdjY2Git5+PjY3CA9K/ye/kA4Pr16wJGQkQkvIyMDKxatQoAEBkZiSZNmggcERHR4139+you/nFJ6DCq7LfffsOtW7cwadIkBAcHw9nZGUlJSVqJ2UcffYQBAwYgLi4Ox44dw/Lly+Hk5IRRo0YBAKZNm4a7d+9i1qxZcHV1xe3bt3H+/Hm9Ytq3bx+effZZfPjhhxCLxbCzs8OWLVuwYsUKvPnmm+jSpQuOHTuGDz/80OD9F4Jeidno0aPV0+UtOBWpVCqIRCJcvHhR/8iozlEqlRCL9XqCg1HKE5F5YS8Con/xM5SMLSkpCdbW1ggNDYVEIkG/fv2wa9cu5Ofnw97eXr1eYGAgpk+fDgDo1q0b7t+/j9WrV2PEiBEQi8X4448/MHXqVPTv319dZsiQIXrFJJfLsW7dOtjZ2QEo66b5v//9D4MHD9aK4fvvv9d31wWjV2LGDz8yBbFYjPXLDuL2zYca87MfFGhMz5+6U6use+N6GDu1l9Z8Iqq92IuA6F/8DCVjKi0tRUpKCrp37w5HR0cAQHh4OLZv344ff/xRI7Hq27evRtl+/frh+++/R2ZmJjw8PODt7Y0NGzbAwsICXbt2xbPPPqt3XAEBAeqkDCjrJnn37t3HxmBu9ErMXnzxRWPHQQQAuH3zIW6k39eYpyhVaEw/upyISB/sCkm1DT9DyViOHj2KBw8eoGfPnsjNzQUAtGrVCm5ubkhKStJIzFxcXDTK1q9fHwCQlZUFDw8PLF++HMuXL8enn36KuXPnwtPTE1OnTkVoaKjOcbm6umq8zsrKemIM5oZt1kREVCeVd4VMTU1FQkKC0OEQEdUYu3fvBgDMmDEDnTt3RufOnfH8888jKysLx48fx/37/yb4Dx480Ch77949AICbmxsAoEGDBoiJicGJEyewY8cOeHp6YsqUKeoRxq2srLRGe8zJyak0rkcHHSzfxuNiMDd6tZjNmDHjqeuIRCIsWrRIn+qJiIhMjl0hiYi0FRYW4sCBA+jTpw8iIiI0lt27dw9Tp05FcnIyWrVqBQD48ccfNboS7t27Fw0aNECjRo00yorFYrRv3x6TJ0/GwYMHcf36dTRp0gSNGjVCZmamxr1rR48erVKsjRo1gpubW6UxmCO9ErOTJ09qzVMqlcjKyoJCoYCLiwufcyag8sFXqrssEREREZm3AwcOoKCgAKNHj0ZAQIDW8vXr1yMpKQlTp04FAJw4cQKLFy9G165dcfToUXz//feYPXs2xGIxZDIZ/vOf/2Dw4MHw9PSEXC7HF198AalUCm9vbwBlj+FauXIlZs6cieHDh+Pvv/9GYmJilWK1sLDA+PHjsXDhQri6uqpjqCxXMQd6JWYHDx6sdL5cLsf27dvx+eefY8OGDQYFRvoTiUQ491c68gqL1POKS+Qa00fPXdAq52Brgw6tvCqtk/diEBEREenPs6WnWWwzKSkJHh4elSZlQNmIiosWLVL3Opg3bx62b9+OL7/8Evb29njvvffw6quvAgCsra3RqlUrfPHFF7h9+zZsbGzQrl07fPbZZ+r7wlq0aIHY2FgkJCTg7bffRseOHbFkyRIMHjy4SvGOHj0aubm52LZtG7788ksEBQVhwYIFGDt2rM77LjS9ErPHkUgkeO2115CWlob58+dj7dq1xqyedJBXWITc/H9HYlKqVBrTFZdVBYelJiIiItKPQqHQ+0HPxti2hYVFlddfs2bNE5ePGTMGY8aMAQAMGzYMANCjR49K17WyssKCBU/f7yFDhmgNoX/58mWN149rGBKJRIiMjERkZOQTy5sDkwz+0aZNG5w6dcoUVZNAeC8GVUZVIeEnIiLDKJW8ptZWuiRGtWnbpBujtpiVO3bsGO8xI6oD9O026+YsRatnG1dLjEREhqqu7vxisQibd6QiM0umnpcjK9KY/jjhkFY575YNMbCvt0liIqLqo1diVn5xepRMJsOpU6dw4cIFjB8/3qDAiMg86NNt1t7WplpiIyIyhurszp+ZJcPN2/8OFa5QKDWmKy4r17C+g8niIaLqY9TEzMnJCU2aNMHcuXMxfPhwgwIjIiIiqgnYnZ+IqoNeidmlS5eMHQcREREREVGdZZLBP4iITMne1oo3yVOtJ3W2hbJCNzYiIqrdDBr849ChQzh8+DBu3boFAHjmmWfQvXt39OzZ0yjBERFVxsZKwpvkqdazs7eG2EKMJVPXI+PKbZ3Kdgxph4j3XzRRZEREZAp6JWa5ubmYNGkSUlNTYWFhATc3NwDA8ePHsX37dnTq1Anx8fGQSqVGDZaIaj87J1cU5ecCAOyd6z9xXd4kT3VBxpXbuPLnjaevWEFjr0YmioaIiExFr66MCxcuxOnTpxEVFYVff/0Vhw4dwqFDh/Drr7/i/fffx+nTp7Fw4UJjx0pEdUDLzr3h4t4MLu7N0KJTL6HDISIiIqoWeiVm+/fvxyuvvIL//Oc/sLOzU8+3s7PD2LFjMWrUKOzfv99oQVbm22+/xZAhQ+Dr64uAgACMHTsWRUX/dmM6ePAgBg0aBF9fX/Tr1w87d+7UqqOkpASLFy9G165d4efnhzfeeAPp6ekmjZuInszeyRV+fUfAr+8I2Du5Ch0OERERUbXQKzGztLSEp6fnY5d7eXnB0tIkz64GAKxevRrz589H//798dlnn2HevHlo3LgxFAoFACA1NRWRkZHw8/PDunXrEBYWhg8//BApKSka9SxYsAA7duzAlClTEBcXh5KSErz++uuQyWSVbZaqgAMymBeViseLiIiINI0ePRphYWEoKSnRWvbuu++ie/fuyM/Px5UrV/D++++ja9euaNeuHXr37o3Y2FhkZ2drlLl58yZat26t9V38UVWtr7bSK3vq168fUlJSMHLkSFhYWGgsKy0txQ8//IAXXnjBKAE+Kj09HatWrUJCQgK6d++uEVO51atXo3379pg3bx4AIDAwEBkZGVi5cqU6rszMTCQmJuK///0vhg4dCgDw9fVFz5498dVXX2HcuHEmib+244AM5kUkEuFe5j3IS+Qa8xWlCo3p2ze0Bx6wsbNBvfr1TB4jERGRuVMqFBA/8p25Jm977ty5GDx4MNavX4+3335bPf/IkSPYu3cv4uPjceHCBYwfPx5NmzbFtGnT4O7ujkuXLmH16tU4dOgQtmzZoh6HoipOnTpl1PrMkV6J2aBBgzBv3jyMHDkSw4cPx7PPPgug7KGL27dvh1wuR3h4OP7880+Ncj4+PgYH/M0336Bx48YaSVlFJSUlOHnyJKKiojTm9+/fH0lJSbh58yYaN26MX375BUqlUiOBdHZ2RteuXXHkyBFBEzOVSgWRSCTY9g3FARnMi7xEDnmxZmJWsSVNpVJpLQcAS4npWsWJiIhqE7GFBZa/twg303QbyMdQjVs0xZQVM3Uu5+XlhQkTJmDNmjUIDw9HkyZNUFxcjPnz56N3794IDg5G37594eHhgS+//FJ9a9Pzzz+Prl27YsiQIZg3bx7i4uKqtL2ioiJMnTrVaPWZK72+Wb322mvq6T/++EOdRFT8Mjd69Gj1dHmicfHiRX3jVDt37hxatWqFhIQEfPHFF5DJZGjXrh1mzJiBDh064MaNG5DL5fDy8tIo17x5cwBlLW6NGzdGeno6XF1d4eTkpLVeYmKiwXEagq0YRERERLXLzbQbSD+fJnQYVTZ+/HgkJSVh7ty5WL9+PdasWYN79+7hiy++QEpKCu7evYtp06ZpjDcBlH2XHjx4MBITE3Hr1i0888wzT92WseszV3olZjExMcaOo8qysrJw/vx5/PXXX/jvf/8LW1tbrFmzBm+++Sb27duHnJyy1phHh+ovf12+PDc3F46Ojlr1S6VS9TqGUKlUKCgo0LmcSCSCra2toK0YhYWFWvcePbrtyvatPHYhVRb70xgrbn22LaSacLzMmbkdbyGZ6m+sKtelJzGkvLlcEw1Vm85zUx9vQ9WE86U2He/qUFxcDKVSCYVCoR7n4HEevfWnuj0tvspYWFhgzpw5GDNmDOLj47F+/XpMnToVbm5uOHnyJACge/fuldbdo0cP7NixA6dOnUKjRo2gVJb1nip/vx6la301jUKhgFKpRGFhoXpfK6pqbzi9vsW/+KJuD62Uy+U4e/YsZDJZpcmQLsoviCtWrECbNm0AAB06dECvXr2wZcsWBAcHG1S/scjlcr1aCG1tbeHtLey9Vrdv39YY4RIou3ew4vS1a9e0ytnY2Gi1VFa3q1evorCwUKcyxnrP9dm2kGrCuWbOzO14C8lUf2NyuVxjWtdrriHlq1K2NvyN1abz3NTH21A14XypTce7ulhaWqK4uPiJ64jFYsGT7pKSkkoThqfx9fXFoEGDsHLlSrRp0wYvv/wyioqKcPv2bTg6OsLCwkLrOyMAuLqWjap869YtFBUVqd8juVxe6fq61lfTFBcXo7S09Imju1tZWT21nmq5SSQnJwcRERHYsGEDgoKCDKpLKpXC2dlZnZQBZfeGeXt7Iy0tDQMGDAAArZEVc3PLHlhb3nVRKpUiLy9Pq/7c3Fyt7o36kEgkaNGihc7lhLy3zEpiCaVSVWlyJZFINKaF/vB4HE9PT71azITatpDM+T7GmsDcjreQTPU39uh1qW3btjrVZ0j5qpStDX9jtek8N/XxNlRNOF9q0/GuDsXFxfjnn39gbW0NGxsbocN5oqokBY8zceJE7Nq1C2+++Sbs7e0BlLWmiUSix+53+fYsLS1hY2MDa2trAGV/P5WV0bW+msjS0hJNmzZV72tFaWlV68JabXfvG+sPvUWLFrhxo/IbJ4uLi9G0aVNIJBKkp6ejW7du6mXlGWx50uHl5YV79+4hJydHIxFLT083SquPSCTS6iNb00ksLSEWi/Ddkd9xPydfY1leQbHG9Ge7j2uV93qmPno+19LkcT6JkL9ICf1rGFUvHu/q9+h7XvGLrD7XXEPKG7ptc1GbznMe76erTce7OojFYojFYlhYWAjeVfFpDImvPNGwtrZW19OwYUPk5uaisLAQDg7aA7jduXMHAODu7g4LCwuIxWVP6Cp/vx6la301Tfk+2traVpo4VvWHF72eYyaknj17Ijs7W6MbwcOHD/Hnn3/Cx8cHVlZWCAgIwN69ezXKJScno3nz5mjcuDEAIDg4GGKxGPv27VOvk5OTg19++QUhISHVszPVyKXC8KKubg2euO79nHxkPpBp/FNUaP5WKJVayzMfyJCTx+4PRKQbD3ePSqeJiKjmev755wEAhw8frnT5Tz/9BJFIhE6dOglSn7kyu8SsT58+8PX1xbvvvovk5GQcOHAAEydOhJWVFV555RUAwFtvvYWzZ89izpw5OHnyJFauXImkpCS888476noaNWqEoUOH4uOPP8bOnTvxyy+/IDIyEo6Ojhg5cqRQu2cyvcIGoVmLlmjWoiV6hoULHQ4REQBg1LBR8PH2gY+3D0YNGyV0OEREVAUvvPACGjRogNWrV2vdl3j16lV8++23CA0NhYdH1X5wM3Z95srsHkQkFouxdu1axMTEYPbs2ZDL5ejUqRO2bt2qfuhcp06dEBcXh08//RSJiYnw8PDAggULEBYWplHXrFmzYG9vj6VLlyI/Px/PPfccNm7caPAAJTWRi5sbho4ZK3QYREQa3Bu5I+rdqKevSERENYaNjQ2WLVuG8ePH45VXXsEbb7yhfiD0mjVr4O7ujo8++kir3Llz57Tm1a9fH506ddKrvtrG7BIzAHBxccEnn3zyxHV69+6N3r17P3EdKysrTJ8+HdOnTzdmeEREREREGhq3aFqrttm5c2ckJiYiISEBsbGxyM3NRYMGDRAeHo6JEyfC2dlZq8yGDRu05gUFBWHTpk161VfbmGViRkRERERkLpQKBaasmCnYtsUGDJjRuHFjXL58udJlzZs3x9KlSw2qQ5/6aiuzu8eMiIiIiMicGJIYmfO2STfVkpg5OjoiJiYGLVsKO5Q6EdGTSMTSCtOGP8+Qagal0rDHtRhanoiIqCqq1JXx1KlTelXeuXNnAGXPPXjxxRf1qoOIqLq42vjjftGZ/5/2EzgaMhZDns/o6mSPISHtTR4jERFRlRKz0aNH6/REepVKBZFIpPGsMSKims5KLIW7XXehw6BHiC3E6s8VfZU/n7Giyp7PSEREJJQqJWabN282dRxERESVEovFEIlEOPdXOvIKi9Tzi0vkGtNHz13QKuvmLEWrZxtXS5xERESGqFJiVv40biIiIqHkFRYhN79A/VqpUmlMV1xWzt7Wplpi05VELEWpouD/p3k/I5E5U6l4H2pdZ6xzgKMyEhERPYa9rZVJBv9wtfGHrUUj2Fo04v2MRGZKIpEAAAoKtH8Uorql/BwoPyf0pfdzzIqLi7F3715cuHABMpkMygp99QFAJBJh0aJFBgVHREQkJBsrCcRiETbvSEVm1r/3oOXIijSmP044pFXWu2VDDOzrXWm9vJ+RyPxZWFjA2dkZd+/eBQDY2dkZdC8smR+VSoWCggLcvXsXzs7OsDDw0QR6JWa3bt1CREQEbt26BalUCplMBicnJ8hkMigUCtSrVw92dnYGBUY1i52TK4rycwEA9s71BY6GiKh6ZWbJcPN2jvq1QqHUmK64rFzD+g7VEhsRCadRo0YAoE7OqG5ydnZWnwuG0Csx+/jjj5GXl4evv/4ajRs3RpcuXbB8+XJ07NgRmzdvxtatW/HZZ58ZHBzVHC0798bfv+4HALTo1EvgaKgmc3FzQ272QwCAq1sDgaMhorrG0BE8DS1fmYyMDKxatQoAEBkZiSZNmhi1fhKOSCSCu7s7GjRoALlc/vQCVOtIJBKDW8rK6ZWYnThxAqNGjUL79u2RnZ2tnm9lZYWxY8fiypUrWLRoEdauXWuUIKmMh7sH7j+4r56uTvZOrvDrO6Jat0nmqVfYIBxUfQ8A6BkWLnA0RFTXiEQi3Mu8B3mJ5pdkRalCY/r2jdtaZSVWEtRvZPxeIfHx8UhNTQUAJCQkICYmxujbIGFZWFgY7cs51V16JWZFRUV45plnAAAODg4QiUSQyf7te+/v74/FixcbJ0JSGzVsFJQqpXqaqCZycXPD0DFjhQ6DiOoweYkc8mLNxKziqGkqlUpruSnduHFDPX39+vVq2y4RmRe9EjN3d3fcuXOnrAJLSzRs2BBnz55FaGgoACAtLQ3W1tbGi5IAAO6N3BH1bpTQYRARERERkZHplZgFBgbiwIEDiIyMBAC8+OKLWLt2LXJzc6FUKrFr1y4MHjzYqIESERERERHVVnolZuPHj8cff/yBkpISWFlZYeLEibh79y727t0LsViMgQMHIjo62tixEhERERER1Up6JWYeHh7w8Ph38Alra2ssXLgQCxcuNFpgREREREREdYVYn0IzZszAuXPnHrv8999/x4wZM/QOioiIiIiIqC7RKzH79ttvNUYYetTNmzfx3Xff6R0UERERERFRXaJXYvY0d+/ehY2NjSmqJiIiIiIiqnWqfI/Z/v37ceDAAfXrr7/+GseOHdNaTyaT4dixY2jXrp1xIiSzZ21bD/Ji2f9PuwgcDRERERFRzVPlxOzKlStISUkBAIhEIpw7dw7nz5/XWEckEsHOzg6dO3fmqIyk1sgzBLevHvn/6W4CR0NEREREVPNUOTGbMGECJkyYAABo06YNFi5ciPDwcJMFRrWHtW09NPPmc+2IiIiIiB5Hr+HyL126ZOw4iB5LIpaiVFHw/9NOAkdTN3i4e+D+g/vqaSKiukBsIYZKpYJIJNKrvCFliYj0SszKZWRk4MiRI/jnn38AlD3fLCQkBE2aNDFKcEQA4Grjj/tFZ/5/2k/gaOqGUcNGQalSqqeJiOoCsVhcdrvGX+nIKyxSzy8ukWtMHz13Qausg60NOrTyqpY4iah20jsxi42NxebNm6FUKjXmi8VijBkzBtOnTzc4OCIAsBJL4W7XXegw6hT3Ru6IejdK6DCIiASRV1iE3PwC9WulSqUxXXEZEZGx6JWYbdiwAZs2bUK/fv3w5ptvonnz5gDKBgjZtGkTNm3ahIYNG+L11183ZqxERERERES1kl6J2ddff41evXphxYoVGvM7dOiA5cuXo7i4GF999RUTMyKqVnw0AxEREZkrvR4wfevWLQQHBz92eXBwMG7duqV3UERE+mjkGQJ756awd27KRzMQERGRWdGrxczV1fWJIzNeunQJLi78tZqIqhcfzUBERETmqsotZqdOncKDBw8AAC+88AISExOxdu1aFBT8ewNsQUEB1q5di8TERPTv39/40RIRERmJnZOretreub6AkRAREenQYhYREYGPP/4Y4eHheO+993Dx4kUsW7YMK1euRIMGDQAAd+/eRWlpKQICAvDuu++aLGgiIiJDtezcG3//uh8A0KJTL4GjISKiuq7KiZmqwlCxtra2+Pzzz7F//36N55gFBweje/fu6NWrFx+wSERENZq9kyv8+o4QOgwiIiIABj5guk+fPujTp4+xYiEiIqoyFzc35GY/BAC4ujUQOBoiIiLD6JSYsRWMiIhqil5hg3BQ9T0AoGdYuMDREBGrKOZ9AAAgAElEQVQRGUanxOyDDz7ABx98UKV1RSIRLly4oFdQRERET+Pi5oahY8YKHQYREZFR6JSYdenSBc2aNTNRKERERERERHWTTonZkCFDEB7O7iJERERERETGVOXnmBEREREREZFpMDEjIiIiIiISGBMzIiIiIiIigVX5HrNLly6ZMg4iIiIiIqI6iy1mREREREREAmNiRkREREREJDAmZkREZkSpUAhSloiezEpiCaVSZfR6rW3rVZh2MXr9RFRz6PQcs5ooPz8fYWFhuHPnDhITE+Hr66tetmPHDqxfvx7//PMPPD09MWXKFPTs2VOjvEwmQ0xMDPbv3w+5XI5u3bph1qxZaNCgQXXvChHRU4ktLLD8vUW4mXZDp3KNWzTFlBUzTRQVEUksLSEWi/Ddkd9xPydfY1leQbHG9Ge7j2uV93qmPno+11JrfiPPENy+euT/p7sZOWoiqknMPjFLSEiAopJfgffs2YOPPvoIEydORGBgIJKTkxEZGYmtW7fCz89Pvd7kyZORlpaGOXPmwNraGp9++inGjRuHnTt3wtLS7N8eIqqFbqbdQPr5NKHDIKJK3M/JR+YDmcY8hVKpMf3ocgBwdbKvtD5r23po5j3YuEESUY1k1l0Zr1y5gm3btuGdd97RWrZy5UoMGDAAkydPRmBgIObNmwdfX1/Ex8er1zlz5gx++eUXLFy4EP3790fv3r2xYsUKXL58Gfv27avOXSEiIiIiojrMrBOzBQsWYOTIkfD09NSYn5GRgWvXriEsLExjfv/+/XH8+HGUlJQAAI4cOQKpVIquXbuq1/Hy8kLbtm1x5MgR0+8AERERERERzDgxS0lJwV9//YVJkyZpLUtPTwcArYStefPmkMvlyMjIUK/n6ekJkUiksZ6Xl5e6DiIiIiIiIlMzy5uoCgsLERsbiylTpsDBwUFreU5ODgBAKpVqzC9/Xb48NzcXjo6OWuWdnJxw/vx5g2JUqVQoKCjQuZxIJIKtra1B267LCgsLoVLpNiqWsd5zfbYtJJ5rhhHieBvjmJlr3CQMXtfqFnM73kTmQqVSaTUEVcYsE7PVq1fD1dUVL7/8stChPJZcLsfFixd1Lmdrawtvb28TRFQ3XL16FYWFhTqVMdZ7rs+2hcRzzTBCHG9jHDNzjZuEweta3WJux5vInFhZWT11HbNLzG7duoUNGzYgPj4eMlnZqEblLVMFBQXIz8+Hk5MTgLKh8N3c3NRlc3NzAUC9XCqVIjMzU2sbOTk56nX0JZFI0KJFC53LVSWbpsfz9PTUq8VMqG0LieeaYYQ43sY4ZuYaNwmD17W6xdyON5G5SEur2kjKZpeY3bx5E3K5HOPHj9daFhERgQ4dOmDp0qUAyu4h8/LyUi9PT0+HRCJBkyZNAJTdS3b8+HGt5sWrV6+iVatWBsUpEolgZ2dnUB2kOyG7sLD7TN1irsfbXOMmYfB8qVt4vIlMo6o/GpldYta2bVts3rxZY97FixcRExODuXPnwtfXF02aNEGzZs2QkpKCPn36qNdLTk5GUFCQuikxJCQECQkJOH78OLp06QKgLCm7cOECxo4dW307RUREREREdZrZJWZSqRQBAQGVLvPx8YGPjw8A4J133kFUVBSaNm2KgIAAJCcn4/fff8eWLVvU6/v7+yM4OBgzZ87E9OnTYW1tjeXLl6N169YIDQ2tlv0hIiIiIiIyu8SsqgYOHIjCwkKsW7cOa9euhaenJ1atWgV/f3+N9T799FPExMRg9uzZKC0tRXBwMGbNmgVLy1r71hARERERUQ1TK7KPgIAAXL58WWv+sGHDMGzYsCeWdXR0xKJFi7Bo0SJThUdERERERPREZvuAaSIiIiIiotqCiRkREZGOrG3rVZh2ETASIiKqLZiYERER6aiRZwjsnZvC3rkpGnl2EzocIiKqBWrFPWZERETVydq2Hpp5DxY6DKomLm5uyM1+CABwdWsgcDREVFsxMSMiIiJ6gl5hg3BQ9T0AoGdYuMDREFFtxcSMiIiI6Alc3NwwdMxYocMgolqO95gREREREREJjIkZERER1Xoe7h6VThMR1RTsykhERES13qhho6BUKdXTREQ1DRMzIiIiqvXcG7kj6t0oocMgInosdmUkIiIiIiISGBMzIiIiIiIigTExIyIiIiIiEhgTMyIiIiIiIoExMSMiIiIiIhIYEzMiIiIiIiKBMTEjIiIiMiE7J1f1tL1zfQEjIaKajIkZERERkQm17NwbLu7N4OLeDC069RI6HCKqofiAaSIiIiITsndyhV/fEUKHQUQ1HFvMiIiIiIiIBMbEjIiIiIiISGBMzIiIiIiIiATGxIyIiIiIiEhgTMyIiIiIiIgExsSMiIiIiIhIYEzMiIiIiIiIBMbEjIiIiIiISGBMzIiIiIiIiATGxIyIiIiIiEhgTMyIiIiIiIgExsSMiIiIiIhIYEzMiIiIiIiIBMbEjIiIiIiISGBMzIiIiIiIiATGxIyIiIiIiEhgTMyIiIiIiIgExsSMiIiIiIhIYEzMiIiIiIiIBMbEjIiIiIiISGBMzIiIiIiIiATGxIyIiIiIiEhgTMyIiIiIiIgExsSMiIiIiIhIYEzMiIiIiIiIBGYpdABERERERGS4jIwMrFq1CgAQGRmJJk2aCBwR6cIsW8x++OEHvPXWWwgJCYGfnx8GDx6MxMREqFQqjfV27NiBfv36wdfXF4MGDcKhQ4e06pLJZJg5cyaef/55+Pv7491338Xdu3era1eIiIiITEYillaYdhIwEqoO8fHxSE1NRWpqKhISEoQOh3RklonZpk2bYGtri+joaKxevRohISH46KOPEB8fr15nz549+OijjxAWFoZ169bBz88PkZGROHv2rEZdkydPxtGjRzFnzhwsWbIEV69exbhx41BaWlrdu0VERERkVK42/rC1aARbi0ZwtfETOhwysRs3bqinr1+/LmAkpA+z7Mq4evVquLi4qF8HBQUhOzsbGzduxNtvvw2xWIyVK1diwIABmDx5MgAgMDAQf/31F+Lj47Fu3ToAwJkzZ/DLL7/gs88+Q3BwMADA09MT/fv3x759+9C/f//q3zkiIiIiI7ESS+Fu113oMIioCsyyxaxiUlaubdu2yMvLQ0FBATIyMnDt2jWEhYVprNO/f38cP34cJSUlAIAjR45AKpWia9eu6nW8vLzQtm1bHDlyxLQ7QURERERE9P/MMjGrzOnTp9GwYUM4ODggPT0dQFnrV0XNmzeHXC5HRkYGACA9PR2enp4QiUQa63l5eanrICIiIiIiMjWz7Mr4qNTUVCQnJ2P69OkAgJycHACAVCrVWK/8dfny3NxcODo6atXn5OSE8+fPGxSTSqVCQUGBzuVEIhFsbW0N2nZdVlhYqDUIzNMY6z3XZ9tC4rlmGCGOtzGOmbnGTcLgda1uMbfjTdoqHj99v4uS8alUKq2GoMqYfWKWmZmJKVOmICAgABEREUKHoyaXy3Hx4kWdy9na2sLb29sEEdUNV69eRWFhoU5ljPWe67NtIfFcM4wQx9sYx8xc4yZh8LpWt5jb8SZtcrlcY1qf76JkGlZWVk9dx6wTs9zcXIwbNw7Ozs6Ii4uDWFzWM9PJqWw4WJlMBjc3N431Ky6XSqXIzMzUqjcnJ0e9jr4kEglatGihc7mqZNP0eJ6ennq1mAm1bSHxXDOMEMfbGMfMXOMmYfC6VreY2/EmbRKJRGO6bdu2AkZD5dLS0qq0ntkmZkVFRZgwYQJkMhm2b9+u0SXRy8sLQNk9ZOXT5a8lEon6YXteXl44fvy4VvPi1atX0apVK4PiE4lEsLOzM6gO0p2QXVjYfaZuMdfjba5xkzB4vtQtPN7mr+L3WX4XrTmq+qORWQ7+UVpaismTJyM9PR3r169Hw4YNNZY3adIEzZo1Q0pKisb85ORkBAUFqZsSQ0JCkJOTg+PHj6vXuXr1Ki5cuICQkBDT7wgRERERERHMtMVs7ty5OHToEKKjo5GXl6fx0Ghvb29YWVnhnXfeQVRUFJo2bYqAgAAkJyfj999/x5YtW9Tr+vv7Izg4GDNnzsT06dNhbW2N5cuXo3Xr1ggNDRVi14iIiIiIqA4yy8Ts6NGjAIDY2FitZQcOHEDjxo0xcOBAFBYWYt26dVi7di08PT2xatUq+Pv7a6z/6aefIiYmBrNnz0ZpaSmCg4Mxa9YsWFqa5VtDRERERERmyCyzj4MHD1ZpvWHDhmHYsGFPXMfR0RGLFi3CokWLjBEaERERERGRzszyHjMiIiIiIqLahIkZERERERGRwJiYERERERERCYyJGRERERERkcCYmBEREREREQmMiRkREREREZHAmJgREREREREJjIkZERERERGRwJiYERERERERCYyJGRERERERkcCYmBEREREREQmMiRkREREREZHAmJgREREREREJjIkZERERERGRwJiYERERERERCYyJGRERERGRGVEqVYKWJ9OwFDoAIiIiIiKqOrFYhO+O/I77Ofka8/MKijWmP9t9XKusq5M9hoS0N3mMpDsmZkREREREZuZ+Tj4yH8g05imUSo3pR5dTzcaujERERERERAJjYkZERERERCQwJmZEREREREQCY2JGREREREQkMCZmRERERERUJcoKA4wIUb4246iMRERERERUJWKxGOuXHcTtmw91LuveuB7GTu1lgqhqByZmRERERERUZbdvPsSN9PtCh1HrsCsj1QpSZ1soFWwaJyIiIiLzxBYzqhXs7K0hthBjydT1yLhyW6eyHUPaIeL9F00UGRERERHR0zExo1ol48ptXPnzhk5lGns1MlE0RERERERVw8SMiIiIiMhIMjIysGrVKgBAZGQkmjRpInBEZC54jxkRERERkZHEx8cjNTUVqampSEhI0KlsRkYGpk+fjunTpyMjI8NEEVJNxcSMiIiIiMhIbtz495aK69ev61TWkKSOzB8TMyIiIiKiGsCQpI7MHxMzIiIiIiIigTExIyIiIiIiEhgTMyIiIiIiHalUKkHLU+3D4fKJiIiIiHQkEolwL/Me5CVyjfmKUoXG9O0bt7XKWttYo55bPZPHSOaFiRkRERERkR7kJXLIizUTs4otYSqVSms5AFhKLCESiXDur3TkFRap5xdXSPKKS+Q4eu6CVlk3ZylaPdu40njsnFxRlJ8LALB3rq/bzpDgmJgREelA6mwLpUIJsYV+PcENKUtERLVLXmERcvML1K+VFZI6pUqlsaycva3NY+tr2bk3/v51PwCgRadeRoyUqgMTMyIiHdjZW0NsIcaSqeuRcUW7e8qTNGnujqhlY00UGRER1XX2Tq7w6ztC6DBIT0zMiIj0kHHlNq78eePpKxIRUZ3i4e6B+w/uq6eJqoqJGRERERGRkYwaNgpKlVI9rQsXNzfkZj8EALi6NTB6bFSzMTEjIiIiIjIS90buiHo3Sq+yvcIG4aDqewBAz7BwY4ZFZoCJGRERERFRDeDi5oahY3gvcl3FocGIiIiIiOoIe1srKJV8uHVNxBYzIiIiIqI6wsZKArFYhM07UpGZJdOprHfLhhjY19tEkRETMyIiIiKiOiYzS4abt3N0KtOwvoOJoiGAXRkBAFeuXMEbb7wBPz8/dO3aFR9//DFKSkqEDouIiIiIiOqIOt9ilpOTgzFjxqBZs2aIi4vDnTt3EBsbi6KiIsyePVvo8IiIiIiIqA6o84nZV199hfz8fKxatQrOzs4AAIVCgblz52LChAlo2LChwBESEREREVFtV+e7Mh45cgRBQUHqpAwAwsLCoFQqcfToUQEjIyIiIiKiukKkUqnq9HiZQUFBePnllxEVpfkgwG7dumHw4MFa86vit99+g0qlgkQi0SsmkUgEpUIJfQ6NSCyCWCxGibwUSh3LW4jFkFhaoKCoBAo9hlGVWIphYyVBXn4xFArdykskFrCzlUCWUwRFqULnbVtZW8LOwRo592Uo1bG8tY0VHJzs8OD+Q5TK5Tpv21IigYtrPb2Ol9B4rlXvuWZpaQEnV0eDzhWRSISc+9lQyEt1KmchsYSTq7Ng5ynPNV7XqgvPNd3PNQtLCzg62Zjl8RYSzzWea1Ull8shEonw3HPPPXG9Ot+VMTc3F1KpVGu+k5MTcnJ0G6mmnEgk0vhfH2ILwxozrST6H1o7GyuDtu1gb613WUcnG4O27eTqqHdZF9d6Bm3bkOMtJJ5r+jHkXDP0XHFydX76SibatiF4rumH1zXd8VzTj7kebyHxXNNPXTvXRCJRlfa5zidmpuDv7y90CEREREREZEbq/D1mUqkUMpn2w/VycnLg5OQkQERERERERFTX1PnEzMvLC+np6RrzZDIZsrKy4OXlJVBURERERERUl9T5xCwkJATHjh1Dbm6uel5KSgrEYjG6du0qYGRERERERFRX1PlRGXNycjBgwAB4enpiwoQJ6gdMh4eH8wHTRERERERULep8YgYAV65cwfz583HmzBnY29tj8ODBmDJlCqysDBvthoiIiIiIqCqYmBEREREREQmszt9jRkREREREJDQmZkRERERERAJjYkZERERERCQwJmZEREREREQCY2JGREREREQkMCZmREREREREAmNiVsccPnwY48aNQ2BgIHx8fNClSxeMHz8eSUlJUCqVJtvupk2b0Lp1a5PUffPmTcTFxeHOnTsa80+ePInWrVvjjz/+MMl2SXhxcXFo3bq1+l9gYCAiIiKQmpoKAPjmm2/QunVrPHjw4In1REdHq+to27YtOnfujJdeegmffPIJbt++XR27QgIoP3+6detW6fVv5MiRaN26NaKjo422zdzcXMTFxSEtLc1odVLN8MMPP+Ctt95CSEgI/Pz8MHjwYCQmJsLYTyVKTU3FW2+9haCgILRr1w4hISGIiooy+mddVa+fZB4e/bz09fVFWFgY1q1bZ/Tvf6NHj8aECROMWmddYSl0AFR9li1bhv/973/o27cvZs+eDTc3N9y7dw/79+/HBx98ACcnJ3Tr1k3oMHV269YtrFq1Cj169EDDhg3V8318fLB9+3Y0b95cwOjI1GxsbPD5558DADIzM5GQkIDXX38d33zzjU71NGnSBEuWLIFKpYJMJsP58+fx1Vdf4auvvkJcXBy6dOliivBJYBKJBA8fPsSpU6cQEBCgnn/r1i2cPXsWdnZ2Rt1ebm4uVq1ahZYtW6JFixZGrZuEtWnTJjzzzDOIjo5GvXr1cOzYMXz00UfIzMxEZGSkUbaxdetWzJ8/H4GBgfjwww/RsGFD3LlzB7t378abb76JU6dOGWU7VDtV/LwsKirCyZMnsXTpUqhUKowfP95o2/nvf/8LsZhtP/pgYlZH/PTTT/jf//6HyMhIvPPOOxrLwsLCMGbMGFhaVn46KBQKKJVKSCSS6gjVaBwcHODn5yd0GGRiYrFY4zi3b98evXr1wldffYV27dpVuR4bGxuNekJCQvDKK6/gtddew5QpU3DgwAE4ODgYNXYSnkQiQVBQEPbs2aORmO3ZswctW7as8V8uVCoV5HI5rKyshA6lzlu9ejVcXFzUr4OCgpCdnY2NGzfi7bffNvhcunTpEhYtWoTBgwcjNjYWIpFIvWzgwIE4dOiQQfVT7ffo52VgYCD++usv7Nu3z6iJGX900l/N/sQho9m4cSPc3Nzw1ltvVbq8ffv28Pb2BvBvE/S3336Lfv36wdfXF5cuXcLdu3cxY8YM9O7dG+3bt0doaCiWLVuGkpISjbry8vIwbdo0+Pv7IzAwEB9//DEUCoXGOo/rIjF48GCNbkNnzpzBxIkTERwcrO4a8t1336mXnzx5EhEREQCAoUOHqpvoy5c92pWxuLgYMTExCA4Ohq+vLwYPHowff/xRI4bo6GgMHDgQJ0+exJAhQ+Dn54ehQ4fi/PnzVXqvSVgeHh5wcXHBzZs31fMyMzMxduxY+Pn5ITQ0VOMcehJnZ2d88MEHyM7Oxp49e0wVMgls4MCB2Lt3L+RyuXpeUlISBg4cqLHelStXMGXKFHTv3h0dOnRA//79sWHDBq1uQGvXrkXfvn3h6+uLwMBAvP7668jIyMDNmzfRu3dvAMB7772nvl6Vn6slJSVYtmwZevbsiXbt2iEsLAy7d+/WqLv8+nT48GEMGjQIvr6+OHjwoCneFtJRxaSsXNu2bZGXl4eCggL1vNatW2PdunXqlviAgADMmDFDY53KbN68GSKRCNOnT9dIysr17NkTABAbG4sePXponZeHDx9G69atNbrRfvfddxgyZAh8fX0REBCAcePG4datW4+NoSrnKJkXe3t7lJaWql8vWbIE4eHh8Pf3R7du3TB16lTcvXtXo8zp06fx6quvomPHjvD390d4eDi+/fZb9fLKujJeuXIFkZGReP7559GhQwcMGjQISUlJpt05M8QWszqgtLQUv/32G/r16/fYVrFHnT9/Hrdu3cJ7770HqVQKd3d33L9/H87OzpgxYwakUimuXbuGuLg4ZGVlISYmRl125syZ+PnnnxEVFYXGjRtj27Ztev/x/fPPP3juuecwatQoWFlZ4bfffsOsWbOgUqnw4osvwsfHB7Nnz8a8efMQExMDLy+vJ9YXFRWFn3/+GZMnT4aXlxe+//57vPPOO4iPj1d/YQKArKwsLFiwAOPHj4ejoyOWLl2KyMhI/Pjjj2bXcljX5OXlITs7Gw0aNFDPi4qKwvDhw/HGG2/g66+/RnR0NHx9favUzTUwMBCWlpY4e/YsRowYYcrQSSA9e/bEhx9+iKNHj6JHjx5IS0vD5cuXER8fj+TkZPV6d+/ehaenJ8LDw2Fvb4+LFy8iLi4OBQUF6q5q3333HVasWIF3330Xfn5+kMlkOH36NPLz8+Hl5YVVq1YhMjISU6dOVbfQlZ+r7733Hn777TdMmjQJzZs3x+HDh/HBBx9AKpWie/fuGnEsWLAAb731Ftzd3eHh4VGN7xbp4vTp02jYsKFWa/vWrVvRsWNHxMbG4tq1a/j444/h6uqKqKiox9Z16tQptGvXrtIEsKJhw4Zh48aNOHr0qMbtCTt37oSfn5+6NWP9+vX45JNPMHToUEyZMgVyuRwnTpzAgwcP8Mwzz1Rad1XPUaq5ypOw8q6M+/bt00ii7t+/jwkTJqBBgwZ48OABNm7ciNGjR2PPnj2wtLREXl4eJkyYgI4dO2LZsmWwsrJCWloacnNzH7vNa9euYcSIEXB3d8eHH34INzc3/PXXX/jnn39Mvr/mholZHZCdnY2SkhK4u7trzFepVBotWWKxWN3VIicnB4mJiRpl6tevj+nTp6tfP/fcc7C1tUV0dDRmz54NW1tbpKWlYd++fViwYAGGDh0KAAgODkZoaKhesQ8YMEAj3s6dO+POnTvYvn07XnzxRTg4OKg/ZFq2bAlfX9/H1nXp0iXs27cPc+fOxciRIwGUdVe7deuWVmKWk5ODLVu2oGXLlgAAW1tbRERE4Ny5c+jUqZNe+0KmU/5Bk5mZicWLF0OhUKBfv37IysoCALz66qt49dVXAQD+/v44fPgw9u7di7fffvupdVtbW6NevXrquqj2sbW1Ra9evbBnzx706NEDSUlJ8Pf3R5MmTTTWCwoKQlBQEICy61HHjh1RVFSELVu2qBOz33//Ha1bt9b4otOnTx/1dNu2bQEAzz77rEaXohMnTuDgwYP47LPPEBwcDADo2rUrsrKyEBcXp/GlNycnB+vWrUOHDh2M/E6QMaWmpiI5OVnjc7Ocm5sbli5dCqDsc+jChQvYu3fvExOzO3fuPPEzrlzz5s3RsWNH7Ny5U52YPXz4EAcPHsTs2bMBADKZDKtWrcKIESMwb948ddmK5+qjdDlHqWYqKCiAj4+Pxrz+/ftrdGOs+EO7QqGAv78/QkJCcOLECQQHB+Pq1auQyWSYOnWquodS+XXxceLi4iCRSPDll1+qf6TgfduVY1fGOuTRrg979+6Fj4+P+t+CBQvUy1q1alVpIrdp0yb0798f7du3h4+PD6KiolBaWoqMjAwAwB9//AGVSoW+ffuqy1lYWDzxYv8kOTk5WLBgAXr27KmOc/v27bh69arOdZ0+fRoA8MILL2jMDwsLw4ULFzS6kTRo0ECdlAH/9pd+dORHEl75B42Pjw969+6NkydPYvbs2Rq/FJd/iQAAOzs7eHh4IDMzs8rbUKlUlXYdotpj4MCBOHDgAIqKipCcnKzxo1C54uJirFy5Ut1N0cfHB8uXL0dWVhby8/MBAN7e3rhw4QJiYmKQmpqq0T3ySY4ePQpnZ2cEBgaitLRU/a9Lly64ePGixo9ozs7OTMpquMzMTEyZMgUBAQHq7vYVPfqltHnz5lW6JlX1OjR8+HAcOHAA2dnZAIDdu3dDIpGgf//+AMpuEygsLFT/gFoVupyjVDPZ2NggMTERiYmJ2LZtGz788EP8/PPPmDVrlnqdw4cPY+TIkejYsSO8vb0REhICoKzVCwCaNm0KBwcHzJkzB8nJyVUatfPEiRPo168f79OuAraY1QHOzs6wsrLSuugHBQUhMTERALTuPatfv75WPZ9//jkWL16MsWPHIiAgAFKpFH/88QfmzZuH4uJiAGVdACUSCZycnDTKurq66hV7dHQ0zpw5g0mTJqFFixZwcHDAl19+iR9++EHnunJyciCRSODs7Kwxv379+uqR+MpHYJNKpRrrlHdfLN9PqjlsbGywZcsWiEQi1KtXD+7u7lo32Ts6Omq8lkgkWvdGPk5xcTGys7Mr/Zug2iM4OBgSiQQrVqzAzZs3ERYWprXOJ598gh07dmDSpElo164dHB0dceDAAaxevRrFxcWwt7fHSy+9hPz8fHz99dfYtGkTHB0dMWTIEERFRcHGxuax23/48CGys7O1fs0ul5WVhUaNGgGo/PpMNUdubi7GjRsHZ2dnxMXFVTroR2WfMU+7JjVs2LDKXb9eeOEFLFy4ELt27UJERAS++eYbjS/G5QlbxS7fT6PLOdSh8+cAAA5USURBVEo1k1gs1mh17dixIxQKBWJjY/HGG2+gqKgIb7/9Nnr37o1x48bB1dUVIpEIw4cPV3//cXJywsaNG7Fy5UpMmzYNCoUCnTp1wqxZsx77WKRHby+gx2NiVgdYWlriueeew/Hjx6FQKGBhYQGg7I+r/A/00RG9KvtVLiUlBb169cL777+vnnflyhWNddzc3CCXy5GTk6ORnN2/f19jPWtrawDQ+jW5Yh/l4uJi/PTTT4iOjsbo0aPV87dt2/b0na6Ek5NTpbHdu3cPIpFI68s7mYdHP2iM7fjx4ygtLcVzzz1nsm2Q8CQSCUJDQ7Fp0yYEBQVVmvykpKRgxIgRGt1+Dh8+rLGOWCzGmDFjMGbMGNy5cwd79uzB0qVLUa9ePUyaNOmx23dycoKLiwvWrl1b6fKK9xWx9bbmKioqwoQJEyCTybB9+3ajfq48//zz2LVrF7Kzs7V+YHyUjY0NwsPD8c0336Bjx464ePGiRqtIefm7d+9WOZnS5Rwl81F+b35aWhouXboEBwcHfPrpp+ofFCobDKZ9+/ZYv369+j61xYsXY9KkSdi/f3+l23B2dtYaQIQqx66MdcQbb7yBu3fvYs2aNXrXUVRUpDXwxaOjMZV/Qa440qFCodD6Yy1/3lh6erp63pUrVzQe5ltSUqI1TH9eXp7WCGRVbc3q2LEjgLIvVxWlpKTA29vb6M8rIvOXk5ODJUuWoF69euouQFR7DRs2DD179qy06xlQdo2peD1SKBRPHK2zYcOGePPNN9G6dWv1te5x16suXbrgwYMHkEgk8PX11frH4fBrvtLSUkyePBnp6elYv369xnM1jWH06NFQKpVYvHhxpct/+uknjdfDhw/HxYsXERMTg2bNmmncH+3v7w9bW1vs3LmzytvnOVo7/f333wCAevXqqb/nVfzx50mjbtrY2KB79+4YNWoUbt68+djvYUFBQdi7dy/y8vKMG3wtxBazOqJHjx4YP348Vq5ciUuXLiEsLAwNGjSATCZDamoqsrKyYG9v/8Q6unTpgs2bN2PLli1o1qwZdu3ahevXr2us06JFC/Tt2xeLFi1CcXGxelTGR1vGOnToAHd3dyxatAjvv/8+8vLysHbtWo1fAR0dHeHr64t169bBxcUFlpaWWLt2LRwcHDT6NDdr1gwWFhbYuXMnLC0tYWFhUWkLSps2bRAaGorY2FgUFRXB09MTu3btwpkzZ5CQkKDP20q1SFFREc6ePQsAGg+YzsvLQ3x8/FP/Psj8tW/f/onXgi5dumDHjh1o0aIF6tWrh23btml1P5s9ezakUin8/PwglUrx22+/4dKlSxg1ahSAsl4FUqkUe/bsQePGjWFlZYXWrVuja9eu6NmzJ8aOHYuxY8eidevWKCwsRFpaGq5fv46FCxeadN/JcHPnzsWhQ4cQHR2NvLw89fUEKLv30NDEpU2bNpg5cybmz5+PO3fu4OWXX1Y/YHrPnj1ITU3Fr7/+qrG+r68vTp06pdHTBSj7fJ00aRKWLFkClUqF3r17Q6lU4uTJkxgwYECln6E8R82fUqlUn5dyuRx//vknVq9ejRYtWqBTp04oKSnB559/jvnz56Nv377/1979x1Rd/XEcf13kqmg35Kqt1EuG2P1DYF0oxH6gu8NcPxVGC+Rex0IXE6abYV7IKHSDIHDs5nKlKRV0KfGuWFubzUJXK41rP2it1tRl4WZGmUAUCvf7h/PO2wX74q8b9nz8Be/P4ZzzubCx1z7nnI8+//xzvfPOO0F9tLW1qaWlRRkZGZo2bZp++eUXNTY2Kjk5ObAa6u+Ki4vV1tampUuXavny5Zo6daoOHTqkvr4+rVix4orf92hCMPsPeeKJJ5SSkqKmpiZVVFSop6dH0dHRmjNnjiorK4fc7H6+oqIi/fbbb3K73ZKkRYsWaf369SosLAxqV1lZqQ0bNqi2tlZjx45VZmamUlNTVVNTE2hjNBq1efNmPfvss1q9erViY2NVVlam5557Lqivuro6lZeXy+VyadKkSXI6nfrjjz+0ffv2QBuz2azy8nJt27ZNra2tOnPmjL777rsh7+H555/Xpk2btHXrVp08eVJxcXFyu92y2+0j+ixx7fnxxx/16KOPymAw6LrrrpPFYtGDDz4oh8MRchAO/puefvppPfPMM9q4caOioqKUmZmphQsXBi0Rs9lseuutt7Rz50719fXJYrGotLRUjzzyiKSzSx2rqqq0adMm5efnq7+/X3v27NGMGTPkdrv18ssvy+PxqLOzUyaTSbNnz1ZWVla4bhkj8PHHH0tSyP8xSYHf8aXKy8uT1WrVK6+8og0bNqinp0dms1lpaWnasWNHSPuFCxfqm2++0ZIlS0KurVixQmazWQ0NDfJ6vZo4caJsNtsF94TzNzq6/fnnn4HXvkRGRurGG2/Uww8/rOLiYhmNRs2fP18lJSVqbGyU1+tVcnKyXnrpJS1atCjQR2xsrCIiIlRfXx94jdLdd9+tNWvWDDvuzJkz1dzcrLq6OlVUVGhgYEAzZ868rC+1vlYY/H6/P9yTAAAAwOWVl5cnk8l0SdsYAFw9PDEDAAC4hnR0dMjn86m9vX3IJ2kA/p14YgYAAHANsVqtMplMcjqdWr16dbinA+D/RDADAAAAgDDjuHwAAAAACDOCGQAAAACEGcEMAAAAAMKMYAYAAAAAYUYwAwD8J/3000+yWq3yer3hnsqw9u/fL6vVqv3794d7KgCAK4z3mAEARi2v16vS0tJhr7/55pu67bbbruKMLk5TU5OioqKUlZUV7qkAAMKEYAYAGPVWrVqlGTNmhNRjY2PDMJuR83g8iomJCQlmd9xxh7766isZjcYwzQwAcLUQzAAAo156eroSExPDPY3LLiIiQuPGjQv3NAAAVwF7zAAA17xTp07J5XIpJSVFt99+u9atW6fu7u6Qdk6nU06nM6Tucrlkt9uDaoODg3r11Vf10EMPKTExUWlpaSooKFBHR0egza5du7Rs2TLNmzdPCQkJuv/++/XGG28E9WO32/X999/rwIEDslqtslqtgTkMt8fsvffeU1ZWlpKSkjR37lyVlJTo+PHjIXO22Ww6fvy4Vq5cKZvNprS0NFVXV2tgYGBkHyAA4IrjiRkAYNTr6enRr7/+GlQzGAyKiYmR3+/XypUr5fP5lJOTo1mzZun999/XunXrLmnMp556Sl6vV+np6crOztbAwIDa29v15ZdfBp7eeTwezZ49W3a7XZGRkfrwww9VUVEhv9+vvLw8SVJZWZk2btyoCRMmqLCwUJI0ZcqUYcc9t68uMTFRa9asUVdXl1577TUdPHhQb7/9tq6//vpA24GBARUUFCgpKUlPPvmkPvnkE23fvl0Wi0VLly69pPsHAFxeBDMAwKiXn58fUhs7dqw6Ojq0Z88effbZZ1q7dq2WL18uScrNzdWyZcsuerxPP/1UXq9XTqdT69evD9Qfe+wx+f3+wPeNjY0aP3584HuHw6GCggLt2LEjEMwyMjJUX1+vmJgYLV68+ILjnj59WrW1tbr11lvV1NQUWOaYkpKixx9/XA0NDVq1alWg/V9//aX77rtPRUVFgfvOzMxUS0sLwQwA/mUIZgCAUa+8vFy33HJLUC0i4uxq/X379ikyMlK5ubmBa2PGjJHD4VB7e/tFjbd7924ZDAYVFxeHXDMYDIGvzw9l3d3dOn36tFJTU/XRRx+pu7tbJpNpRON+/fXX6urqUnFxcdDeswULFiguLk5tbW1BwUxS0H1LZ0Nca2vriMYFAFx5BDMAwKiXlJQ07OEfnZ2dmjp1qiZOnBhU/3uQG4mjR4/qhhtu0KRJky7Yzufz6YUXXtAXX3yhvr6+oGsXE8yOHTsmaei5x8XFyefzBdXGjRsns9kcVIuOjtbvv/8+onEBAFcewQwAgH9wMYdlHD16VPn5+YqLi5PL5dJNN90ko9GovXv3qqGhQYODg1dgpsHGjBlzxccAAFwenMoIALimTZ8+XSdOnFBvb29Q/ciRIyFto6OjderUqZD6uSdV58TGxurnn3/WyZMnhx33gw8+UH9/v7Zs2aKcnBzNnz9fd955Z9DyxnPOX/54IdOmTRt27keOHAlcBwCMPgQzAMA1LT09XWfOnJHH4wnUBgYG1NjYGNLWYrHo8OHDQSc8fvvttzp48GBQu3vvvVd+v1+bN28O6ePc4R/nnladfxhId3e3du3aFfIzUVFRQwbCv0tISNDkyZPV3Nys/v7+QH3v3r06dOiQFixY8I99AAD+nVjKCAAY9fbt26fDhw+H1JOTk2W325WcnKy6ujp1dnYqPj5eu3fvHvI9ZtnZ2WpoaFBBQYGys7PV1dWl5uZmxcfHBz1xS0tL0+LFi/X666/rhx9+0D333KPBwUH5fD7NnTtXDodDd911l4xGowoLC5WTk6Pe3l7t3LlTkydP1okTJ4LGnTNnjjwej1588UXdfPPNMpvNmjdvXsj8jEajSkpKVFpaKofDoQceeCBwXP706dOHPJ0SADA6EMwAAKOe2+0esl5VVSWLxaItW7aosrJSra2tMhgMstvtcrlcWrJkSVD7WbNmqbq6Wm63W1VVVYqPj1dNTY3effddHThwIKRvq9WqlpYW1dTUyGQyKSEhQTabTdLZwzjcbrfq6+tVXV2tKVOmKDc3V2azWWVlZUF9FRUV6dixY9q2bZt6e3uVmpo6ZDCTpKysLI0fP15bt25VbW2tJkyYoIyMDK1duzboHWYAgNHF4D9/jQUAAAAA4KpjjxkAAAAAhBnBDAAAAADCjGAGAAAAAGFGMAMAAACAMCOYAQAAAECYEcwAAAAAIMwIZgAAAAAQZgQzAAAAAAgzghkAAAAAhBnBDAAAAADCjGAGAAAAAGFGMAMAAACAMCOYAQAAAECY/Q+Vsf7gwbajNwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Total Purchase/Spendings on diferent products by Income\n",
        "plt.figure(figsize=(18,9))\n",
        "sns.scatterplot(x=df['Income'], y=df['Total_purchase'], s=150,palette='mako');\n",
        "plt.xticks( fontsize=16)\n",
        "plt.yticks( fontsize=16)\n",
        "plt.grid(False)\n",
        "plt.xlabel('Customer Income', fontsize=20, labelpad=20)\n",
        "plt.ylabel('Total Purchase/Spendings', fontsize=20, labelpad=20)\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 584
        },
        "id": "q2LfirspSlV_",
        "outputId": "1530e10c-2d3f-4505-b4ad-85cd343a782b"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x648 with 1 Axes>"
            ],
            "image/png": 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Xg0p/iMQ4N6eqgiR4XewtPcH6rR9Q4DuMZds8On8smRf2OId3KCIiIiIicmY198zubOI1ItLB1AYg/kAEr8dBKGwR73XhD4QpPVrByg27KSw+gmXZmKZBblZvpl8zhLSeiXg9sX8VxHtdVFQFeW7dO2z5xyECwQget4N4j5OqQDhafLbWqo3vs2D6MBLj3V/mLYuIiIiIiJwTClNEOrimwpK8S1KY+0+Xsu0fh1i2uoi6a9Asy6bAV8aOd8qYM20o40f0i1mZAuB2O9j0Zmm0tXIgGGkQotQqLC7DrfbIIiIiIiLSRShMEenA/IEwm3YeaDQsMU2DA2WnG1yry7Zh2eoiMvv3YFBacr33jkSDlJZYlk0gEMHtVKAiIiIiIiKdnwrQinRgpUcrmgxLpoxKZ82WkphrjRWgtW1Y+eqeBkVkvR5HtAhtS0zTwONRkCIiIiIiIl2DVqaIdFBV/hArN+xuNEjxuh1kpCVTWHwEh2kwMieVKaPSyUhLprL60wK0pSdZv20/23cdprC4DJczNlsNBiPkZvWmwFfW4lxys1IIBrUyRUREREREugaFKSIdlMtpUlh8pNFr8V4XldVB4twO7pt5JQBrtpQ0KEA7dWwGU0al8/BzO/AHI7jqhCGJ8W5umZjJjnfKmtwmBDWtlW+ZOFjFZ0VEREREpMvQNh+RDqq5miZV/hAJcW7u+/aV7DtUzn3LtlLgK4uOry1Au/iprew7VM7imbkxW39qpfVK5M6bcjCa2O1jGHDnTTmk9Uo8Y/clIiIiIiLS3ilMEemgmqtp4g9G+PhkFQ7DYMUaX7MFaFes8eF0mI0GM/FeFxNG9OPR+WPJy06Nfp5pGuRlp/Lo/LFMGNGPeK/rjN2XiIiIiIhIe6dtPiIdVChsNVnTxGEaOB0mqzfvbXaLDtQEKqv/WsLCGZc1ej3e6yLzwh4smD4Mt9tBIBDB43EQDEa0tUdERERERLokrUwR6aDivS6+ds2QBltwErxOHp4ziguS45qsqVJfYwVo60uMd+N2OuiWUPNTQYqIiIiIiHRVClNEOrA+FyQwKz87Gqg4TIP7Zl5J6bEKyisCTdZUqc+ybPzByFmcqYiIiIiISOehMEWkA3O7TNL7JLFk7mjyslMZNbQPUFMHJSHO3WRNlfpM02i0AG2VP0QoHOF0ZZBQOEKVP3RG5y8iIiIiItIRqWaKSAcWClv8+Y39GIbBjWPSGdinO0+sfIvqQISS0pNN1lSpLzcrhVDYirZG9gfClB6tYOWG3Q3aKU+fNITU8xNwu0xCYUvFZ0VEREREpMvRyhSRDszpMLl5wmC27TrEQyt24DDNaJ2U9dv2kz8mo8m2xrUMA6ZPyoyGIv5AmE07D3D3E5sbbad89+Ob2fC3j3j3g0944sW32Ft6En8gfFbvU0REREREpD1RmCLSQfkDYTb+7SMCwQiz8rNJiHNRUR2Mhh/bdx0GiKmpUp9hwJxpQ+nbMzF6rvRoBctWF7XYTtk0DAzD4O7HN7Np5wGqFaiIiIiIiEgXoTBFpIMqPVrBU/9TxMPP7SC9TxIPzR5J90RPtE5KxLKj12prqtReM02DvOxUHrtrHONH9CPOU7Pjr8ofYuWG3a1qp/zy6/uYMnoAtg3LVhdx8FjFWb1fERERERGR9kI1U0Q6oPqhh2EYnK4KEQqfjqmTUukPc//y7eRlp3LjmHQWzhhOpT9EgtfF4Y8rSOuViMf92V8DLqfZpnbKC2cMx+N2EAhGWPnqHhbOuEw1VEREREREpNNTmCLSAdWGHrWtkPcdLGfFGh+jh/Yhf0wGO94piwYtEctma9EhthYdwuN2EO9xUh0M88h3rooJUgD8gUib2ilX+kPEe5wEghEKi8twObXYTUREREREOj89+Yh0QLWhx8icVKCmholtt1wnJRCMcLIiwMzrL4mpk1LL63G0qZ1ygtdF1ae1UizLxh+MfM47EhERERER6TgUpoh0QLWhx5RR6azZUhKzCqWtdVLqCoUtcrN6t2oOuVkp7C09QeDTAMU0Dbxux5m5QRERERERkXZM23xEOqBQ2GL00FQy0pIb1Dhprk6KbVskxLmbfN94r4vp1wyJ2SbUGMOAqWMHsu6N/dFzuVkphMIWLqcCFRERERER6dwUpoh0QPFeF7dMyKSyTivkuurXSekW5yJn0AXccVMOoXAEfyCC1+MgFLYaFIxN65XInGlDm2yPbBg124gs26bAdzh6bvqkTBWfFRERERGRLkFhikgHlXpBAoZhYJpGs0VjnabB3V+/HIAnV75FYfERLMvGNA1ys3ozfdIQ0nom4v1024/X42T8iH5k9u/Bylf3UFhcVmd8ClPHDsSybZY8V0jEsjEMmDNtaKM1WERERERERDojhSkiHZTX46SiKhjTCrm+aLefQ+XRIrW1LMumwFfGjnfKmDNtaEwdlTiPk0FpySyccRkup4k/EMHjdnDgyGn++Nr7bC86jA3kZacyfVImfXsmNlqDRUREREREpDPS049IB5YY7262xkn9bj+NsW1YtrqIzP49GJSWHHOtdttObR2U1AsSuHvGcPw3R/C6G98mJCIiIiIi0tmpm49IB1db46R+K2Sv28GNYwbGdPtpim3Dylf3UOUPNTsu3uvC5XTQLd6Ny+lQkCIiIiIiIl2SVqaIdHBej5Nxw9MY0CeJlzfvw+Ew+MrIAWSkJeN0GA26/TSlsLgMl1P5qoiIiIiISEsUpoi0QxVVQdxuR7TrTjAYITG+6ZbGbpfJX3Z8yOyv5nC83M9/b9jN3tKT/Py7Y5otTluXZdn4gxG1NhYREREREWmBwhSRdqTKH6L0aAWrNu5p0HXnlomZpPVKbHRrjT8QYeKIC9ny9sFofRSv20FCnLvFbj+1TNPA43ZwujIY0za5yh+KFqFtqp2yiIiIiIhIV6IwRaSdqPKH2LTzAE+/tKvJrjt33pTDhBH9GoQZcd6ar3LdQrP+YISS0pPNdvupKzcrhfc++IT7ntoWE+A4HSY/WraV01WhJtspi4iIiIiIdCUqkCDSTpQerWgQpNRl2/D0S7soPVrR4Jo/EG600Oz6bfvJH5PRoDhtfYYBU8cOZP3WD4DPApxFT77OrpKP+dfbrsDx6QqXAl8Zdz++mU07D1AdCH+OOxUREREREenYFKaItAMVVUFWbdzTqq47qza+T0VVMOa8x+1otNDs9l2HAZiVn91koGIYNdct26bAd7jB561Y48M0DPKyU2POL1tdxMFjDYMdERERERGRzk5hikg74G4iDGlMYXEZbndskVh/INJoXZSIZfPo73cyuF8yS+aOJi87FdOsSVVMsyYgWTJ3NOl9kljyXCGRRt7DtuHl1/cxZfSABudb005ZRERERESks1HBA5F2oKkwpC6HaTAyJ5Upo9LBhlOVQbzumoKwcR4nLqdJKGw1GJuRlkxldZCkBA9zvprD978+nFDYwuN28N6Hn7Dujf0U+A43GqTUKiwu4+4Zw/G4HQSCkZjzaqcsIiIiIiJdjcIUkXbA63E023UnwevkvplXArBmSwmFy2M7/Uy/ZgiPzh/L4qVvAMSOrdcV6KvjB5F6fgKnKsPc99S2Vs3PsmzCEYuH7hzJmi372L6rJnxRO2UREREREemKFKaItAPBYKTJrjsO0+C+mVey71B5TLceiO30M3taDvfNzAWMFsfeMTWbCSMujFnN0hzTNHA4TNa+sY/rR6czZVQ6Dz+3g+pgBK9bQYqIiIiIiHQtWp8v0g4kxru5ZWJmo0ViR+bUFH6tH47UZduwfPUuPG4nSQnuFsc+87KPg8cq+MZ1F8Vc87odnJfkbRCQ5GalsLf0BFvePsTip7ay71A5i2fmkndJaqvCGBERERERkc5EYYpIO5HWK5E7b8ppEKhMGZXeaNvj+mo7/YQjVqvHXj08DafD4KpL+7Bk7mief+A6Hp0/hucfuI4lc0dz1aV9cDqMmLbJdTv83H5jFvFe1+e/aRERERERkQ5I23xE2ol4r4sJI/pxUf/zWLlhT03XHqdJRlpymzr9LGykUGxTY+/55uU8de9Ejp2obrS+ytSxGdx2fRYfl1fHtE2u7fDzva9d+oXuWUREREREpCNSmCLSjsR7XSTEubhxTDoLZwynOhAiHLFa7PRTy7JsKv0h4j3OBmGK1+0g3uuiyh/CH4xgAIFQhDffO8Ly1buarcXSPyWpwWfVhD3DqfKHtDpFRERERES6FIUpIu1IlT/Es2t9FPjK8Lgd9Ojm4cm7xzfb6acu0zRI8LqoCoTxuh0kxrvIybiASbn9oy2SE+LclJSeZN+hcsqOVzUIUuqqrcWyZO5o8rJT2Vp0KHrNsmxOV4dITnSfqdsXERERERHpEBSmiLQjLqcZ3dITCEYoO17F3tKTTXb6qS/vklROVQZ4YFYeg/olEwxFiPM4KT16ml+vepttRYewgdys3nztmkwcpkG8x0mlP9zke9Zu6blxTHpMmFIb3Kg1soiIiIiIdDUKU0TaEX8g0mAFyvpt+8kfk8GOd8qaLSybGOdkzs05zdY/+crIATz83I7oFp5Z+dksnpnL/cu3E2lm5UthcRl3f3043RPclFcGgc86/Fw84Lwzcu8iIiIiIiIdhbr5iLQjXo8D04xt57N9V03h1zumZjfaOhnA6TB4bOHVbCs6xKInX6fAVxYNZWrrn9RtaewwjZiuPHnZqc3Oy7JsQmGLpxdPqunyM6wPU8cO5P0DJ9UaWUREREREuhyFKSLtSChskZvVO+ZcxLJ5+LkdjL60Lz//3hjyslOjgYtp1gQhT9x9Nacqgi3WP6kfntRu4ZkyekCz8zJNA6fD5Paf/B9rtpQwdWwGfXomcllmLxWfFRERERGRLkfbfETakXivi+nXDGmwpSdi2XjdTuI8Tm6dlMnCGcOp9IdI8LrYW3qCcMTmj5v2NLsNCBqvf9Kadsq1W3qqA+HoFqE7b8phwoh+Z+rWRUREREREOgyFKSLtTFqvROZMG8qy1UXRcCTe66KyOkjP5Hhm/Hg9LqdJvMdJVSCMATz/wHXRwrUtqR+eNNdOGcAwYOrYgax7Y3/0nG3D0y/t4qIB5zEoLflM3LaIiIiIiEiHoW0+Iu2M1+Nk/Ih+PHbXuOiWnip/iMQ4N5XVQSzLJhCMcOJ0gEAwEg1aWtM6GWrqn1R9Gp5AbDvl+gwDZuVnY9k2Bb7DMddsG1a+uocqf+iL37SIiIiIiEgHopUpIu1QnMfJoLRkFs64DJfTxB+MYNk23RM9mKYRE5xU+UMkxLkbnG+KaRokJbj5wT+P4M9b92NZ4A+GuSyzF4XFZXU6AKUwdexALNtmyXOFjXb7KSwuw+kwCYYj+AMRvB4HwWCExHj3Gf19iIiIiIiItCcdOkx55ZVX+POf/4zP5+P48eOkpqYyefJkZs+eTWJiYnRceXk5P//5z9mwYQOBQIBhw4bxwx/+kCFDhsS8XyAQ4PHHH2ft2rWcOnWKiy++mEWLFnHFFVfEjLMsi2eeeYaVK1dy7Ngx0tPTmTdvHtdee+2Xct/SddQWd3U5HfgDYY6X+8nN6k2Bryw6xh+MUFJ6ssH5puRmpfDeh5+wdss+po7NIK1XNxLjnXz7xku4++vDCYUtnA6TvaUnWPfGfgp8h5tsm2xZNhXVIe5+fDPHy/3RNsy3TMwkrVeiitOKiIiIiEin1KG3+Tz77LOYpsnChQv5zW9+w4wZM3jhhRf49re/jWXVtGu1bZs5c+awZcsWfvzjH/Pkk08SDof51re+RVlZ7IPn4sWLWbVqFfPnz2f58uX07NmTWbNm8e6778aMe+KJJ/jVr37FN77xDZ555hmGDRvGggUL2Lx585d279L1lB6t4Lf/W0z+mIwGLZLXb9vf6Pn6auufrN/6QbRd8taigwSCFsndPBw+XoHbWdO156EVO3j3g09wOZv+a8I0DbxuJxXVNVt9atswL3rydTbtPKAtQCIiIiIi0ikZtt1S/4/265NPPuG8886LOffSSy9x77338p//+Z+MHDmSDRs2MG/ePJ5//nny8vIAOH36NBMnTiQ/P58f/ehHALz33ntMnTqVJUuWcPPNNwMQDoe5/vrrSU9PZ9myZQAcP36ccePGceeddzJ//vzo595221/9ouMAACAASURBVG188sknrF27ttXzDwQC+Hw+srOz8Xg8X+h3IZ1blT/EL1/4O38rPsJDs0ex71A5K9b4ogVqHabR6Pm6auufpPdJ4v7l26OrTQwDHrtrXLSQrD8Q5tDHFaScn0hldZCEODclpSdZv20/23fFrlLJy07lxjHp3PfUtkY/79H5Y8m8sMeZ/4WIiIiIiIicZc09s3folSn1gxSAnJwcAI4cqelssmnTJnr16hUNUgC6devG+PHj2bhxY/Tcxo0bcblcTJkyJXrO6XRy/fXX88YbbxAMBgHYsmULoVCI/Pz8mM/Nz89nz549HDhw4MzdoMinXE6TwuIjRCybh5/bQXqfJJbMHR0tUBuxbB55vpCcjAt4dP7Y6HmoWT2Sl53Kkrmja15Xr/5J3UKy/kCY0qMVvPCX3cz48Xq+/dNXmfHj9azZUsL1o9N5aPYoErw1uwPrrnJpjG3Dqo3vU1EVPOu/HxERERERkS9Th66Z0pjCwkIAMjIyANi7dy+ZmZkNxg0aNIiXXnqJyspKEhIS2Lt3L3379iUuLq7BuFAoxIcffsjgwYPZu3cvbreb/v37x4wbPHgwACUlJfTr1+9s3Jp0Yf5AJFpcttIf5v7l26OrQhbOGE6lP0SC18Xe0hOUlJYz/2vD8LgdlFcGo+ebq39SW0j2tZ0H+I8//SNmZUvt1p0d75QxKz+bxTNzeeDp7dx+wyWNdvmp/75ut+OM/z5ERERERETOpU4Vphw5coQnn3ySUaNGRVeolJeX07dv3wZjk5NrtjScOnWKhIQEysvL6d69e5PjysvLoz+TkpIw6hWnqH3tyZMnz9wNiXzK63HEdOuJWDZbiw6xtegQHreDeI+TqkCYQDCCaRpcPzqd01VBvv/45uj55liWjT8Y5g9/ea/RLUJQs9JkxRofP5t3FU/cfTUnKwJNdvmp+76BQAS3U4GKiIiIiIh0Hh16m09dlZWVzJ07F4fDwSOPPHKupyNyRoXCFrlZvWPOed0OzkvyYgAnTgeigUluVgofn6ymW7yb8spgi0EK1GwFcjsdVPrDzY6zbVj91xLCEZv7l29vcbxpGng8ClJERERERKRz6RQrU/x+P3PmzKG0tJTf/e53pKSkRK8lJSVx6tSpBq+pXUGSlJQU/Xnw4MEmx9WuPKl9P9u2Y1an1K5cqV3JInImxXtdTL9mCDvfPUJedipTRqWTkZbcoEBsge8w0ydlYhgGp6uCbWqXvOfAiVYFL4XFZXz/68NxOk0iLYzPzUohGNTKFBERERER6Vw6fJgSCoWYP38+Pp+P5557jiFDhsRcHzRoEFu3bm3wupKSEvr06UNCQkJ03IYNG6iuro6pm1JSUoLL5YrWSBk8eDDBYJCPPvoopm7K3r17gc9qtYicaWm9Ennq3okcO1HNmi0lFBYfwbJsTNMgN6s3U8dmcNv1WXRP9GAAuz88wT9NyGTHO2VNbt2BmkKy06/J5I+b3m/VPCzLJhCKkOB1Nhu+GAbcMnEwifHuNt6piIiIiIhI+9aht/lYlsWiRYsoKChg6dKlDBs2rMGYiRMncuTIkWhhWoCKigpee+01JkyYED03YcIEQqEQr7zySvRcOBxm/fr1XHXVVbjdNQ+EY8aMweVyNWiBvGbNGjIzM1V8Vs6qv793lPuWbaXAVxatn1JbIHbxU1v5+3tHAfB6nGT270Hv8+O586Yc6pX4iaptl5x6QQKFxS2vYIGarTtxHiczJg8hzlOz1chbr8isYcCdN+WQ1ivx89+siIiIiIhIO9XqlSnFxcW89dZb5Ofn061bNwCqqqp48MEH2bhxI16vlzvuuIPbbrvtrE22vgcffJBXXnmFOXPmEBcXx9tvvx29lpKSQkpKChMmTOCyyy7jnnvu4Qc/+AFJSUk8/fTT2LbNv/zLv0THZ2VlMWXKFJYsWUI4HCYtLY0XXniB0tJSHn300ei4888/n9tvv53ly5eTkJBAVlYW69evp6CggKeeeupLu3fpeg4cPc2y1UXNFohdtrqIzP49GJSWTJzHicM0GHtZGhf1P4+VG/ZQWFxWZzVLClPHDsSybT44fIrLL+rVqi1BeZekUna8kisvSWXCiAs5XRUkzuOipPQk/7v9AyIRm5snDCKtVyLxXteZ/SWIiIiIiIi0A4ZtN7cB4DMLFy5k586dbNmyJXrupz/9Kf/1X/9FfHw8wWCQSCTCM888w1VXXXXWJlzXhAkTGq1zAvDd736X733ve0BN3ZN/+7d/Y+PGjQQCAYYNG8YPf/hDLrroopjX+P1+fvnLX7Ju3TpOnTrFRRddxKJFi7jyyitjxkUiEZYvX86qVas4duwY6enpzJs3j+uuu65N8w8EAvh8PrKzs/F4PG16rXQtFVVBnlj5VjTs8LodxHtdVPlD+OtttcnLTmXhjMuI99YEHIuefJ2rLu3LrPxLiPe6Ytolr9/6AQW+w4zMqanDct+yrc1uCUqMc7L0BxM5fLyS1X/d22Cr0fRJQ0g9P4GEOIUoIiIiIiLSsTX3zN7qMGXSpElceuml0VUaoVCIvLw8MjIy+N3vfsfJkyeZNm0aOTk5LF++/MzfRSekMEVaKxiKcOuP1nPlJSlNFp/dvuswkU+DjVWPXI8/EMHtNHn/wEleLfyQO2/KYemf/oGv5HiDdskO0+Ch2aPYd6icFWt8jQYqTofB0nsn8vf3jrB89a5GxxgGzJk2lPEj+hHn6fAlmUREREREpAtr7pm91U87x48fj+mS4/P5qKysZPr06Xg8Hnr37s3EiRNjVq6IyBdX7Q9RHQjz4B0jAZosPjtlVDoPP7eDSn+Y8oog3398M+WVNR19pl09CNM0eHvPMU5XhRp8hstpsvSP/2DeLZeyZO5oXn59X4MtQf/8lYs4VRFsMkiBhluNREREREREOqNWhymGYRCJfPZ/st98800MwyA3Nzd67rzzzuOTTz45szMU6eKcThMvzkZXjdQWn93xThmz8rNZPDOX//dMAd0T3AzL7Mnrbx2MXp8zbSi/vmcCK172sbXoEEB0e0/dlS7HTlQxY/IQ7vnm5ZyqDBL/6ZagcMTmj5v2NLsNCGoClZWv7oluNRIREREREelsWh2m9OnTJ6bA68aNG0lJSYnpXnP06FGSkpLO7AxFurhw2ObAkYomt99ATYCxYo2PJXNH843rLuLAkdNMvrI/k3L7R1erLFtdxIA+SUyflMmU0elATRjT1EqXcMTiwRUFHP64EgN4/oHrKCw+0qo5FxaX4XJ26GZhIiIiIiIiTWr10851113HW2+9xfz581m0aBFvv/021157bcyYkpISLrzwwjM+SZGuzLJbvyLk5df3cfXwNFZtfJ/FT23lg8Pl3DczF4dpYNuw+q8lnKwIcF53b821Ztosv/bmAe6Ymk04bBHvdVFZHYyOa3HOlt2gMK6IiIiIiEhn0eow5fbbb2fYsGH85S9/Yd26dVx00UXMmzcvev3AgQPs2rWLK6644qxMVKSrcjnNNq0I6Rbv5q3dR7FteOZlHx63k3HD+0avD7nwPD4+Wd1i7ZPlq3fhdJiMG94Xj8tBYrwb0zRaNQ/TNPC6Ha0aKyIiIiIi0tG0eptPQkICL774Inv27AFg0KBBmOZnWYxhGPzqV78iJyfnzM9SpBOq8odwOU38gQhej4PQpytA6vMHI21aEXKqMojH7aAqEMa2YdXG95nz1RyK9n5MRVWIQCjMmtdLWrXSZfVfS1hw6zAsq+a9c7N6R9szNyc3K4VQ2MLlVKAiIiIiIiKdT5t7l2ZmZjZ6Pi0tjbS0tC88IZHOzh8IU3q0gpUbdjeoVTJ90hDSeibirdNW2OtxYJpGqwIV0zSI97qoCoRxmEZNgdnR6XRLcPPo/LHEe11Ylo3L6cBhGkRaeM/C4jJMw+T2n75CblYK08YNYsc7Zc0GMYYB0ydlqvisiIiIiIh0Wm0OU0Tk8/MHwmzaeYBlq4ua7MozZ9pQxo/oR9yngUowGGnTipC9pSdwmgYPzB4FwJrXGy8w+5WRA6LFaZtiWTaV/hDxHifbig7xlZEDmJWf3WQxXMOAOdOG0rdnYtt+MSIiIiIiIh1Iq8OUb33rWy2OMU2TxMREMjIyuOaaa7TlR6Se0qMVDYKUumwblq0uIrN/DwalJQOQGO/mlomZrVoRMnXsQNZv/YD7Zl7Z6lbK9y/f3uQKFdM0SPh0pUvEsnn4uR0snpnLkrmjefn1fRQWl9UJaVKYfk0mfXslRoMgERERERGRzqjVTzyFhYVATW0Uu5EnurrnN2zYwNNPP82tt97KAw88cIamKtKxVflDrNywu1W1Sla+uoeFMy6LbpVJ65XInTfl8PRLjReNNQyYlZ+NZdsYn9aIbW0r5bzsVLYWHWp0XO1Kl8CnnXkq/WHuX76dvOxUbp2UyT3fvJzyyiAJXhd7S08woE83nA7VSRERERERkc6t1d18ioqKuOaaaxgwYAD//u//zqZNmygqKmLTpk38/Oc/Z8CAAUyaNInNmzezYsUKLr74Yl588UX+9Kc/nc35i3QYbe3K43J+9vWM97qYMKIfv1gwjrzs1GhXHdM0yMtOZcnc0aT3SWLJc4VcN3IAa7a0rsDsy6/vY8roAY1er7vSpa6IZbO16BB3P/E64YjND5e+wbcefIX7ntpGdUDtkEVEREREpPNr9cqUpUuX4vP5WLduHYmJn9VD6NOnD/n5+YwfP54bbriBF198kQULFpCVlcV1113HqlWruPnmm8/K5EU6En+gbV15/MFItBuOPxDm0LFKivYe48Yx6SycMZxKf4hucS4q/SEqqkIsXvoGEcsmIy25TaHNwhnD8bgd0dUnELvSpcB3uMk5VvpDBIMRAsGI2iGLiIiIiEiX0eowZe3atUyaNCkmSKmrW7duTJ48mTVr1rBgwQJ69OjB2LFjee21187YZEU6srZ25akNJhorWutxO4j3OKkKhAmGItwxNZt7b7uCX77wdyqrg01+htftqOn24w9FWy77g2ES41zRQCQ3K4WpYwdi2TZLnitsVT0VUDtkERERERHpOlodphw9ehSns/nhTqeTY8eORY9TUlIIBAKff3YinUgobLWpK09tMNFY0drAp6tBaj3zso/HFozj8buvJs7tjAltoi2SR6WTkZZMZXWQhDg3JaUn+d/tH5AY52LpDyYSDEWI9zo5cOQ0qza+T4HvcLOtk+vWU1E7ZBERERER6UpaHab07t2b1157je9///uNhiqhUIhNmzbRq1ev6LlPPvmEpKSkMzNTkQ4u3uti+jVDWtWVpzaYaFPR2g17mHZ1BpZlR0ObBK+T+2ZeCcCaLQ1bJE+7ehAV1SHu+uVfMYCfzbsK24Ztuw61qnPQujf2qx2yiIiIiIh0Oa0uQDt16lQ++OADZs6cyZtvvollWQBYlsXOnTv59re/zUcffcTUqVOjr3nrrbcYNGjQmZ+1SAeV1iuROdOGRjvu1Fc/mGhr0dpBaclcmJLE167JxOkwoi2S71u2lQJfWXS1Sm2L5H/9jzfY+o+DLPrG5ZRXBPnPde+SekFCi3Osradi2/DYXeMYP6Kf2iGLiIiIiEiX0eqnn9mzZ+Pz+di8eTPf/OY3MU2T7t27U15ejmVZ2LbNmDFjmD17NlCzLeiiiy5i8uTJZ23yIh2N1+Nk/Ih+ZPbvwcpX91BYXFZnpUgK0ydl0rdnYjSYaGvR2lOVQR56dgd3TM3mvpm5QMstkp95+bMWydt9h/m+a3iLc0w9PwG3y2RQWrK29oiIiIiISJfT6jDF7XazfPlyXnrpJV566SXeffddysvLSUxM5OKLL+amm27ipptuio7v1asXjz322FmZtEhHFudxMigtmYUzLsPlNPEHI3jdDkJhKxpMVPlDuJwmHnfbitbGe10cPFbBT5/dwdOLJ/Gr/36r1S2SbxyTztaiQwQCEboluFucI6BisyIiIiIi0iW1eV1+/dBERD6f2lDC5XREw5NTlUG8bgdlxyv546a9XD86vU1Fa2sLwsYluvG6HW1ukRznceLxfBaQ1J1j3Z8iIiIiIiJdmYociJxD/kCY0qMVrNywu0Fx2KljM+if0o2bxw9uVdHa2oKwACnnJ+APhtu0RajSH2L00D4EgxHcCk1ERERERESa9LnClOrqak6dOkUkEmn0ep8+fb7QpES6An8gzKadBxq0Pa4tDut0mkwdk0EobDErP7vJ2ieGAbOn5ZDgdRHvcfDrReNJvSABoE1bhBK8Lq6/Kp3EePeZukUREREREZFOqU1hyksvvcRvfvMbSkpKmhxjGAbFxcVfeGIinV3p0YoGQUpdU0am86fX3mfX3o9ZPDOXJXNH8/Lr+xoUhJ06diAJcS56JsfxldHp/Ncr71JYfIRf3jWuTVuEKquD9Pk0hBEREREREZGmtTpM+Z//+R8WL16Mw+FgxIgRpKSk4HRql5DI51HlD7Fyw25sG7xuB/FeF1X+EP5gzWovr9tBRlpydOvP/cu3k5edyo1j0lk4YziV/hAJXhd7S0+wftt+vjIqnXf3fxITzjgdBtPGDWrVFqFpV2fgdTuItHJbkIiIiIiISFfW6jTk2WefpXv37vzhD38gIyPjbM5JpNNzOU1cTgdL5o4mIy2ZyuogCXFuSkpPsn7bft778BMqq4PRLToRy2Zr0SG2Fh3C43YQ73FSFQgTCEa46tI+YBMTpHjdDi5Ijqe88mSLW4Rm5WcTjlg4HQ6cTqPBmNriuP5ABK+nYUcfERERERGRrqbVYcqHH37ItGnTFKSInAHBkMVXRg5gzZaSRgvP3jC6pnZJbc2T+qtXAsHP6hVNGZXOmi0lMWFJvNdFZXWQh5/d0eIWIcu2WfJcIUvvnYgXR7RjT3PFcadPGkJaz0S8Hq1OExERERGRrqfVT0Ldu3fH7VZhSpEvyh8Is/nvpU0Wnt3xThmz8rNJuSCB26ZczOB+PRpdvbJ912FcTjO6HaiuKn+IhDg31cFIs1uE1r2xnwLfYWwgMc7FJ6f8mEbN6pTNfy/lhVd3U1kdwu00o2FO7RznTBvK+BH9iFOgIiIiIiIiXUyrn4LGjx9PYWEhtm1jGA23AohI67RUeNa24cW/vMfVw9PIzriAVRv3NLp6ZcqodJb+8R8x24Fq+YMRSkpPRgvQNrVFqFZediqnq4J89983sfj2KxncL5mxl6UxIqs33eLdBEMRLMvG6XREw5xnXt5FZv8eDEpLPpu/LhERERERkXbHsO3mSlN+5sSJE8yYMYPc3FzuvfdeEhLU9eOLCgQC+Hw+srOz8Xg853o68iWo8of45Qt/b7bDjsM0eGj2KD44XM4zLzdf6ySjb3cG9+vB1+77c4NA5apL+zBlVDr3LdvaYgHaXywYx6s7PmDMsDSAJrcf2cD/FXzAdXkDsG34vx0f8p2bh6qGioiIiIiIdDrNPbO3emXKggULiIuLY9WqVaxdu5YBAwbQrVu3BuMMw+D555//4rMW6YRcTrPBlpz6RuakAjQZpEDN6pUVa3z8YsE4LNsi75IUtu06HDNm+67DTBmV3qoCtH0vSGDsZWmUHCxvMLb+9qPJV/bnx8u3cfsNlzD5ygtxOc02/Q5EREREREQ6ulaHKYWFhdH/rq6u5t133210nLYAiTTNH4g0WEFSX2MFZRtj2/DfG/Yw96s5zP7qUIr2HqOiOhy9HrFsHn6udQVoA6EIDtNoMnSp/bwVa3wsmTuaKy9Jjf53OGJFi9aKiIiIiIh0Ba0OU957772zOQ+RLsHrcUQ79DR63e1otKBsUwqLy1g4Yzivv3WAx+66mu/8fCPhyGfvXekPc//y7YzMSWXmDVnc883LKa8MxhSgLSwu48WfTmHtG/taFeC8/Po+bhyTztaiQ7z8+j7uunVYq+9fRERERESkM1AbDpEvUShsRYvCNqa2pXFLq1dqWZZNpT/EC3/ZzcC+yfzHPRN4bl1xzAqUK7JSuHHMQLweJ3tLT/Lkyrf4uNwfLUCbl51KMBRha9HhFj6tRm2A43E7KCwu06oUERERERHpchSmiHyJ4r0upl8zhB3vlDW6CqS2pXFzq1fqMk2DBK+LSn+YVRvf585p2Y22QF7z+j52vHOY22+4hO/806Xcv3w7UFMzZerYgUQsu80BTrzHyYlggEAogtulQEVERERERLqOJsOUv/3tbwAMHToUj8cTPW6NK6644ovPTKSTSuuVyJxpQxttj1y/pXFLcrNS2HfwJAleF0V7j5HgdfPz324mzlvz1T5xOhDTArm2zkledirbdh1iVn42AC5n89uP6qoNcKoCYUzTwOtWkCIiIiIiIl1Lk2HKP//zP2MYBuvXryc9PT163BpNFacVEfB6nIwf0Y9B/ZJZtfH9BkVhuye6+acJmU2uXqllGHDLxMH0T0ni0fljSIhzE4lYrPjRZE5VBkiIc1NSepL12/azfddhIpYdrXly66RMbrgqHcu2+emzO7hv5pVtCnD2lp4gEIyQl51KKKwCtCIiIiIi0rU0GabMmzcPwzDo0aNHzLFIlT+Ey2niD0TwehyEwhbxXte5nlaHYts2u0o+bnRLzot/2cNXRg9osaXx7Gk5OB0GM368nlDY+jSM6c3UsRnYNjzy/F+5ZOD5TB2bwZRR6Tz83A4q/WEKi8u455uXs37bfn67/l0cpsGWf5Qy7epBrQpwpo4dyLo39mMYMH1Spv7svyB9n0REREREOh7Dtlvq3yFnSyAQwOfzkZ2djcfjOdfTaZE/EKb0aAUrN+ymsPhIndUUvZk+aQhpPRPxelSGpzVC4Qj/9MM/Y1k2HreDeI+TqkA4uiUnwetk8cxcvG5no6tXbp4wiGAowpLnCqn0h2Pe2zBgVn426X2SuH/5dizbjjmOWDbPP3AtVf4QyYke3C4H/mAEp8Pgr2+WNrr9qP77PvD0du6YmsP4Ef2Ia8WfuQKDhvR9EhERERFp35p7ZleYcg51pDDFHwizaeeBZh+050wb2uqH667udGWQr9//v82OcZgGt9+QxZhhfYnzuKj0h+gWV/PzNy/7olt3GmMYsGTuaNa9sZ+tRYdijrf7DrNqyfXs+egEL79eEn2Q7xbv4qdzRhGO2I0GOFPHDsSybf6y4yNuGptB316JLf5ZKzBoXGu/T+OGp+F2mQqfRERERETOgeae2bveU4x8LqVHK5p88AOwbVi2uojM/j0YlJb85U6uA/J6Wi74GrFs/nNdMRlpyRw6WsEf/vIe93xzBC+/XtJibZPa2ig3jklna9GhmOOIZfPxyWoWP7U15s/zdFWIux9/nZE5qcy8IYt7vnk5FdUhEuNcBEMRIraNy1FTG2VAn244Hc3XSWkqMLAsmwJfGTveKeuyAVxrv08XpnTjz9v2Ew5bXTp8EhERERFpb5r8V/m3vvWtz/WGhmHw/PPPf+4JSftT5Q+xcsPuZmtpQM0D4MpX97BwxmX6v+gtCIUtJlyexhv/OIS/Tred+iKWzf8VfMi/5GfTr3ciA/smU1h8pFWfUVhcxsIZw/G4HQSCkejxrZNdvPBq7J+n1+0g3uuiyh/ijX8cYmvRIR75zmg27Sxl81ulADFbkf7w0FfoFt98mKIArnFt+T7VBmD3PbWtS4dPIiIiIiLtTZP/Ii8sLGz0vGEYNLYzqPa8itR2Pi6n2aYHeJfTPMsz6tiq/CGcDpPbb7iEO24a2qDjTl2GAVNGDaC8ws+mnaX07dWtVe2LoWYFSKU/RLzHSSAYwbJsgqEIKT3i8e39GIdpMDInlSmj0slIS6ayOhjTAWjN6/u5/qoB/GXHhwAEghG8bgcXJHvxuJoPUhTANa2t36e6gVhXDJ9ERERERNqjJsOU9957L+Y4GAxy11138f777/Od73yH3NxcevbsybFjx9ixYwfLli1j8ODBPP7442d90vLl8gcibXqA9wcjapXbiObqh9TvuAOfFXwNRyx69kig4J3D/MvU7Ba3B9UyTYMEr4uqQDh6HO91EonYuFwmD80eBcCaLSWNzscGMvomE+91MnxIr2joUh0IATWBSVMBiAK4prX1+1Q3EOuK4ZOIiIiISHvU6rXiS5cuxefzsW7dOpKSkqLn+/bty1e/+lUmTJjAjTfeyNKlS1mwYMFZmaycG62p71HLNA28bgUp9bWmfsis/GwWz8zl/z1TwOUX9Y4WfF3yXCG/umcCpmFQ6Q+Rm9W72ZoptVt2Lhl4PntLT0Q7BOVmpRAMR4hEbB5feDWvvXmA5at3NTmfO2/KIb1PEg/eMZJQ2Go0dGmqjocCuKa19ftUNxCDrhc+iYiIiIi0R60OU9auXcvkyZNjgpS6kpOTufbaa1mzZo3ClE4mFLZafICvlZuVQihsdZkH49ZqTf2QFWt8/GLBOF54aAq7P/qEdW/sp8B3GBtI8LowgMQ4FzePH8yOd8pi3quxLTvdEz2UHq3gqkv7UOA7zLSrM/iPP/4DbJgyKr1BkNLY+9i2zb6D5W0uIqsArmlt/T7VDcSg64VPIiIiIiLtUavDlKNHj+JyNb+s3OVycezYsS88KWlf4r0upl8zpMEDfH2GAdMnZXa57QdV/hAup4k/EMHrcTRoY9uW+iH/vWEP+WMHct9T26Ln87JT2Vt6gtxLUvio7DShsMWs/GxWrPFh25DgdXLfzCuBprfsfOv6LI6XV7O96DAPzR7Fmi0lDeZT933eP3CC7oluAqHI5yoiqwCuaW35Pk0dO5B1b+yPOd/VwicRERERkfao1WvFU1JS2LRpE8FgsNHrwWCQjRs30rt37zM2OWk/0nolMmfaUJqqL2wYMGfaUPr2TPz/7N15dJT1+f//5z17JhthCSQEIQSChiQsQoCEsAi4RAkGi4hLKVIBlw+I2v5aqFirRNtara1W0CJVv2rBBQXEhaWyhISIVkIIEhIiEEJABUK22e/fH8MMGTITJgolwPU4p+fIzD0z70lJT++X1/K/PdgFZLE6XUWSBQAAIABJREFUKDt4gufe/oqf/fYjbl/wMT/77Uc89/ZXlFWewHKqNaO180MSurbDeOpm2XNDvSbvW0YP6sby9aUsXLqN+NgIcu/NID0llvl3D2FfVQ3zF+VRUFztrQbxVI/MeymPr745Aqq7BSghrvlGIK1GYf60IRw4UgtA725ROJwulq8rDXqIbIPF7n3MExicbR715RrABfP7ND07GZeqUlB82Oc5T/gkhBBCCCGEuHCCDlNuvvlm9u/fz9SpU/niiy9wOt1l506nk8LCQqZOncrBgwfJyck5b4cVF47JqGP0oG48++BIhibHoNG47wI1GoWhyTE8++DIy2plq2cGykPPb/QbYDz0141s2H6QRqvjRw8c9QRUcdFhGHRaep0KQeotDhYszmf1lgpuv74PJoPWW6Xij6rC4hU7ARjevyv1jbZm5xmWEgPAFZ3D2VdVwxOvFtClQ9hPGiIrAVxgZ/t9yr03wx2YLS302fB0uYZPQgghhBBCtDVB3/nOmDGDXbt2sWHDBn7+85+j0WiIjIykpqYGl8uFqqpcc801zJgx43yeV1xAIUYdveLaMXfKAHdby6lVuWe2tVwOgpmBsmhFEYlXRNE9NrxV80PCQvQkJ3QkK70HGgVqaq3MmJiMxXY6lHG6VPKKqrgxI95vy46/83y4aR8TRvQkNMTQ7DxZ6fHsPXic3t2iWLKymKhwk9/QJRB/czw8gUFi9yiWrS2lsKS6SftRFyaPS6Rrp7DLJoA7U7PfJ6sTg17rMy/nzCDlcg2fhBBCCCGEaGuCvovR6/X84x//YNWqVbz//vuUlJRQU1NDWFgYffv2ZeLEidx0003n86yijfAEJ54b58tl1oVHa2agLFtXyqyJKa2aH+J0upg8LhHVpRLbKYxGqwOdRoNDdZHZvytbi6pwutSALTuBFJZUM3fKQPYdOuFzHs/7oMDKTe5gpsFi9xu6BBJojocEcGfX9Pep0erAbNLjdKl4fuoSPgkhhBBCCNH2tPr/lY8fP57x48efj7MIcVFo7QyUh28fyMTRvYIeOFrbYAMV3vz0m2bDZHNG9eKGYT1YuHQbRoOu1dUj9RY7n39VSXZmgvc8ZpOe+kYbCV19g5n9h0+SkRrD5q+rzvreZxsie7kHcMGS8EkIIYQQQoiLQ9AzU4QQbq2dgVLbaKdLh1DumZAc1MDRf63eTU291e8slt+8uIV9VTXMm5aG1ebwVo8EQ6NRCDXp2fzfQ4D78xTFXYUSFmKgvtFGeop7Xsdrj11PdPsQHrxtILn3ZjC8XyzaAJ8jczzOPbNJj16nJdxsQK/Tys9WCCGEEEKINuZH1Ys3NjZy8uRJ7xDaM8XGxv6kQwnRlpmM2tbNQDHpUYHuMe4NPB9u2tdsfsiEET1xqSq5SwtptDmZc9sAjAYtVpvv75iqwpKVxeTem0H/xGjKK0+0qoWorPI4DVYHC5du43d3p/GnBzJZuXkf31bX0L1LBFnp8QHXK2elx7Nw6TbqLQ7ve8ocDyGEEEIIIcTlqFVhygcffMA///lPysvLA16jKAolJSU/+WBCtFV2h6tVAUZFVQ2dokJYsDifockxjM+MZ+6UgdRb7ISa9JRVHm82cNSz0efMMAVOD5O9bVwi7/2nzKdlJxBFgcljE9HrNPwyuy8949rRs2s7Gq12HrxtAHaHi8+/rORfH+0ixKjHcKrFxFMRs21XNfdMSGbetDQWLM5HPfXdZI6HEEIIIYQQ4nIU9B3Q+++/z7x589BqtQwaNIguXbqg08kNlLj8mE16Jo/tE/QMlI/zv+XeW/qhAnlFVeQVVWE0aDEbdTRYHc0CE087ToPV4fd9wT2L5Vd3Xs2cyQOwOZzMykkNuF3I00JksTvQavVcFd+Bd9aXeqtPRg6I47ZxiXTrHM6/FlxPfaON0BAD5ZUnWLO1gvyd7pDnlQ+LeXbOSF77/XWEGHQ4nDLHQwghhBBCCHF5CjoNefXVV4mMjOStt94iISHhfJ5JiDYvLjosqADDpaps/voQ1w7p7lPNYrU5/VadwOl2HH/Pmwzu+RkNFjsn6218d6IBrUbhqvj2Z20hUlAoKvueJSuLvWcONem4O7sv1d/XB9Xes2xdKdOz+2KQOR5CCCGEEEKIy1jQYcr+/fvJycmRIEUIwGTUMXpQNxK7R7FsbWmLM1CcLpU1WyuCbseZMKInq7dUeB/TahSGpcSQlR5PQlw7b+WIy+Xik/z92O0urk/vTp8r2jP71v4YDVpq6m0+LURajcL1w3r4BClajcLv7h5Cwc7DzUKhpu0907NPt/d4KmIcTtd5+skKIYQQQgghRNsXdJgSGRmJwWA4n2cR4qLiWWM7Z3J/DAYtVqsTo1FLXYOdVz7Y6W2PAcjfeZis9HimZyf7BBpNKQrcM8FdzVJQfBhwV47MnzYEIGDliKrCwqXbcLhU/jBjGKu37KO4/AefFqLcezNYubnc53OHpcQABKyuAd+Bt0OTY8grqqKm3sZbn+zmxuE9iesUhknmpfxkDRa7exWy1YnJKKuQhRBCCCGEaOuCvgsaPXo0hYWFqKqKEmi/qxCXEYvVQeXROpat28OOvd9jMrhvghfem0FyQgfyiqq81zpdKguXbmPetLSA7TgTRyXQuUMo9/9pPU6XilajMH/aEPZV1TQLYPxVjuQuLaRHTCR5RYd9Ng2ZDFoS4tpRWHLE5/xZ6fF8uKm8xUoZOD3wdnxmPPnFh93rlXdUsX77QWblpDJ6UDcZQPsjNf07dGZQNnlcHwmrhBBCCCGEaKM0wV740EMPYbPZeOyxx6ivrz+fZxKizbNYHWzYfpCHnt9IQXE1jVYHx2ut1DXamfePLXTrHM6f/i+TockxaDTu8LHR5uSjLd/SPsLErIkp/PvJLF599FrefiKL8ZnxrNqyj0NH67jt2itRlNOVI4EqWeB05YhGUbgrKwm7w9lsZbPZpKe+0RZUwBJIYUk1veKiyEiN9c5zUVV3Vcuh7+p+xE9QnPl3yPPfjycoe+ivG9mw/SCNLQwiFkIIIYQQQlwYQf8rzzlz5hASEsI777zDqlWr6NGjB+Hh4c2uUxSF11577ZweUoi2pvJoXcD2mHqLgwWL8xmWEsOsiSk8fPtAahvda5AbrXY+/6qSN9bsRqfTNNvo89U3R/nd3UN4ZvYIdFoNb3/2TdCVI7Mn98eg06DRKD7BSYPFTmiIwedxfwFLS1wulXqLnezMeD7YuM/ns5etLWXulAHSltJKLf0dArxhVWL3KHrFtfvfHk4IIYQQQgjRoqDDlMLCQu8/NzY2snv3br/XSQuQuNQ1WOwsW7enxZDD6VLZsqMKh1Mle0Q8f37jS1wulZfnjeP1NbtxuVScfjb6WE5VfNQ12EhO6NiqyhGjXkttg81na5DnPcsrT/g87i9gaYlGoxBhNnDkhzrvPJemn63XBV3kJgju7xBIWCWEEEIIIURbFXSY8s0335zPcwhx0dDrNK0KOeZOGUiD1UHoWapBTAYtowbGodMqtI8w02h1tHitZ0WyxeZu7bHanYSG6Lnt2j7s2PsdjdbTQc2Z24T8BSwtSUvqgtXuQFE0mAxa6i2nW09cLhWLzYlepw3qZyJa/3dIwiohhBBCCCHaFplsKEQrWazN55IE4mmPMRt1fqtBzlx7bHc4CTHqaLQ6MOq1LV7rWZFcXnmCj/O/xah3hxkdI0N44/c3UHrgOGu2VpC/87DfbUKtWdecMyqBxe8Xkdi9vXdNsmdTkUajYDJIkNIarf07JGGVEEIIIYQQbYuEKUK0ksmobdYec2aliIdGoxBq0nvnojStBgm09ths0vHaguvYG8S1Go1CRmoMN49MoMHq4L4/rqe2we7dCJMzqhc3De/JC8u/5tm3v+TRu4fyzOwRfLCxnNIDx1CUs69rnp6djMPpIq/oMJt3VPmsSQZ31Yrd4ZKb/Vbw93coEAmrhBBCCCGEaHtaFaa4XC7efPNNVq1aRXl5OY2NjZSUlABQUlLC8uXLmTp1KvHx8eflsEK0BXaHi7SkznxRciRgpYinImRwUhfv9hs4XQ2yffeRgGuPTQYdtQ021uQFvlarURjeL9bns0MMOv7+yGheXbmLvKIq7+rkWTmp/HlOJgadFqvdicXq4MHbBmCxOTEZtMTHRtI3vgPL1pU2W9c8YURPXKpK7tJCbyWKZ01yXlEVigKTxyXKPI9W8vwdCrbFSsIqIYQQQggh2pagwxSbzcY999xDYWEhkZGRhIaG0tDQ4H0+Li6O9957j/bt2zN79uzzclgh2gKzSc+UcVeSnZkANK8USUvqzIQRCWSlx6PVKqzcdHr7jafdZt4v0gD/a4897UDbdlX7vbalKhVPNcr1w3qwcOk26i0OFq0ookdshLt9yOJgxcYyn9cM7duFX9zUl1kTU3jo9oHUndo8VFZ5nNVbKigoPuwNUuD0HBiTUcu0G/vStVPY+fxxX5LMJj2Tx/YJqsVKwiohhBBCCCHanqCnGi5ZsoRt27Zx//33s3XrViZNmuTzfEREBIMHD2bLli3n/JBCtDVdOprZX32S+YvyKCiu9rZruFwqBcXVzHspj/3VJ7miczgKChqNe8uVCny6bT9Xdm/Pys3lfm+kLTYnFVU1XH1lNAuXbqNn10jvtVqN4q1SCfTZv3lxC/uqapg3LQ2tRkGjKJgMOkoqfuA3/9jS7DVbdx5m5tPr2LKjirLK4/z6b5v4+eOfMP+lreQVVfkEKZ7XWGwO/vRAJqMHdSPEKN2CP0ZcdBizclIJtABNUWBWTqqEVUIIIYQQQrRBQd8FrVq1ioEDB/LAAw8A/lcgx8XFsWHDhnN3OiHaqKrv6nn5g50BqwpUFV7+YCdX9mjPg1P685DmdFuNu2Uj8DYXrUYh3KznltG92bH3O0KMeu+1w1JiAP8VLU0/e8nKYu9sE0WB+kY7i1e0fF7Pa/p0b++dh+KPXqchwmzAZNCi0yrU1tswGd3fSyoogmcy6hg9qBuJ3aNYtrZ5i9XkcYl07RQmYZUQQgghhBBtUND/L72yspKRI0e2eE1kZCQ1NTU/+VBCtGUNFjvL1u1psT0D3AHFsrWlzJ0yAKNB5515oddpqa0PvCJ5WEoMNXU2wD38tek65az0+IAVLWd+tme2iYLS6tcEClNCTTpy7xtOxeEalq8rbdZiNHlcH+I6hWGSACAoIUYdveLaMXfKAPQ6jU/gJsGUEEIIIYQQbVfQbT5Go5Ha2toWr6mqqiIiIuInH0qItqylqpIzFZZUo9c1/zXzbHPxxxOYLFy6ja6dQokMM3o3uiTEtfP5bJNBS/sIk99tL4Ul1fSKi6LXGa8523l7xUVh9PN+nhaj3d/+wMPPb/LbYvTQXzeyYftBGq2OoD5PuJlNevQ6LeFmA3qdVoIUIYQQQggh2rig//XxlVdeSV5eHjabDYPB0Oz52tpatmzZwoABA87pAYVoayxWZ1ArbcEzX8TZbBNLoG0uTQMTl0vld4vyefbBkaQldab0wAnqG20o0GyTz5lbhJwuFZdLpdFqx6XSqvPWW+yYjTrvBiKPYakx6HWas7YLLVpRRGJ3d4gjhBBCCCGEEJeioCtTJk+ezOHDh3nkkUeoq6vzee7kyZP85je/4eTJk0yZMuWcH1KItqLBYsfYQlXJmTwVJWfybHM5c/SQ2aT3aetxulTeWV9KdmYCjVb3lp8nZqV7q1emPLqGu59cy5RH17Byczk3ZsTzxMx0Qk06NBoFs1FPWIi+VeeNDDWQnNDR+xqNRmFocgwzJqTw3n/2Bt3e1GCxB/WZQgghhBBCCHGxCboy5aabbiIvL48VK1awYcMGIiMjAZg4cSJlZWXYbDbuuOOOs85VEeJiZLE6qDxax7J1e8gekeC3qsSftKQupwbONg9UYjqGcs+EZF758PQwWc9aZI1G8QYqnnXKd95wFRabg2+ranxeA6fbbLbtqmZ6djLzpqXx0ZZvcbpcuFRadV6H08UDk/oxd0rwQ3PPFKi9SQghhBBCCCEuBa2623nqqafIzc2lV69eHDt2DFVVKSkpoXv37ixcuJBHH330fJ1TiAvGYnWwYftBHnp+IwXF1azJqyA7MyHgSlsPRYHJYxMx6DXU1tuwO5w+1Rp6vYbuMRHerTsajYLF5qT80AnSkjp7r3O6VBYu3Ua/3p34/kRjsyClKc9WHo2icOcNV/Liezt46b0dwZ93XCJmk97vDI8f094khBBCCCGEEJeiVq/cmDhxIhMnTsRisVBTU0N4eDhms/l8nE2INqHyaB2LVhR5AwxPpcj07OSAK4oVBWbmpKDRwK3z1mB3uJptvLE5XCxYnE9m/67kjEzgodsH4nC6MOi03Dq2D9t2VXvfu97ioMHi4P0g22w+3LSPWRNTyC86DBDUeWflpNK1U1jA9/UMzQ0mUAnU3iSEEEIIIYQQl4IfXYdvMpno3LnzBQ9SqqureeKJJ5g8eTL9+vWjT58+VFZWNruuT58+fv+ze/dun+tcLheLFy/mmmuuISUlhezsbD799FO/n718+XKuv/56kpOTue6663j77bfPy3cUF46/NcieSpH4WN+qEjg9X+TP/5dJt87hzPtHHnaHC/DdePOfLw9i1Gt4clY6997Sj05RIQAowOtrdtGlg5np2cneapIIs56ErpGtarMxm/TodJqgzvvsgyMZPagbIS2sNPYMzQ2Gp71JCCGEEEIIIS5Fra5Mqa+vZ+3atezevZva2lrCw8O56qqrGDduHKGhoefjjC3av38/H3/8MX379mXQoEFs2bIl4LUTJ05k8uTJPo/16NHD58/PP/88S5YsYe7cufTt25c1a9YwZ84cFi9e7DMPZvny5SxYsICZM2cybNgw8vPzefzxx1FVldtvv/2cfkdx4QSaE1JvcbBgcT5Dk2MYnxnP3CkDqbfYiQwzUN9g5+UPdnq36pzJbNQRFx3O/upaPtxU7t3c46lcyRmZgFGvJaFrBH96IJOVm/fRr3dHGq2OVrXZ1DWe3spz5nkfvn0gVrt7y5DV5iAqwuT3fRosdvQ6DRarkxCTjlvHJvpUzPjTtF1ICCGEEEIIIS5FrQpTPv74Y37/+99z8uRJ1CZ3U4qi8NRTT/H4449z/fXXn/NDtmTw4MFs3boVgHfeeafFMCU6Opr+/fsHfP6HH35gyZIlzJgxg+nTpwMwdOhQ9u/fzzPPPOMNUxwOB8899xwTJkxg7ty53uuOHj3K888/z6RJk9Dr5UbyUtDSnBCnSyWvqIq8oiqMBi1mo44Xf30N/3hvR8Bhr1qNwvxpQ9hXVdOs5cblUvmi5Ag6nYZZOeH0ioui3mJnzm0DsNmd6LWaVrXZhJr0NFgdfs8bYtTxrwXXcU/uWpLiOzBncn/CzKdXnjcduOsJe/Q6Dc/MHsHMnJSA65GDaRcSQgghhBBCiItd0GFKXl4eDz/8MBqNhptvvpm0tDQ6duzI999/z7Zt21i9ejUPP/wwERERpKenn88z+9Bozt3GkM2bN2O328nOzvZ5PDs7m3nz5nHw4EG6devG119/zbFjx5pdN2HCBN5//32+/PJLhg4des7OJS6cYOeEWG1OtBoFo0HbYivOsJQYAL+zS0JNOuZPGwLAC+987Q0xzCYdry24jr2VJ1q1laes8jjWAENgG60O6i12tBrl1OYdLY1WByFGHRarg41fVfL22j3UN9q9393ucDHvH1uYNy2NP/9fJu9uKKOwpLpJVU0XJo9LpGunsBbbhYQQQgghhBDiYhf0Hc+LL76IwWDgzTffpG/fvj7P5eTkcMcdd3DnnXfy4osv/k/DlNb497//zZIlS9BqtfTr14/Zs2czaNAg7/NlZWUYDAa6d+/u87revXsDUF5eTrdu3di7d6/P4/6ukzDl0uCZExJMgJGeEnvWjTdZ6fGs3FzeLEhpqWLFZNBR22DzbhEKps1mwoierN5SEfCappUrLpfKyQYbdQ024mMjabQ6yBwQx8ArowkNMVBeeYI1WyvI33nY2y40LCWG+25J5dd3Xe2zPllae4QQQgghhBCXg6DDlN27d3PDDTc0C1I8UlJSuOGGGwIOa73QsrOzGT16NNHR0Rw6dIglS5YwdepUXn31VYYMcVcD1NTUEBERgXLGDtnIyEgATpw44b2u6eOBrhMXP7NJz+QzNuv4oyhwU2Y8IS1UspgMWhLi2vmtXGmpYqXBYic0xMC2XdVBbeWZnp2MS1UpKD4c8LxNK1c0GoUwk566Bht7Dx5n+brSZnNcJoxIICs9noVLt1FvcbBlRxUOp8rcKQMIP9UepNfJ9h4hhBBCCCHE5SHoHhmDwUB0dHSL10RHR2MwGFq85kL585//TFZWFoMGDWLChAm89dZbREdH89e//vVCH020cXHRYczKSeWMjM3LMycktmNYixtvzCY99Y02v0HLTRnxbNh+AKO+eSBhsTkprzzB1VdGn3UrzzOzR7ifX1rod/it57wTRvRkTd63AAztG4PF5qCo7Hsefn4TBcXV3jN6NhDNeymPfVU1zJuWhvbUZ7rbg85dm50QQgghhBBCXCyCrky5+uqr+eqrr1q85quvvvJpm2nLwsLCGDlyJO+++673sYiICO9w3abVKZ5KlHbt2nmv8zzeNGA68zpxaTAZdYwe1I3E7lEsW1t61jkhgSpZPBUmnsoVrUZhWEoMN2bE0/uKKKLbm7nn5lSfthpPILK2cD8TR/Vmx97v/G4RCjXpKa88jlGvpazyuM/g2aYUBX6ZnQxAQfFhFAWmjU/i8A/1AatdAFTVXTXjCXHyiqpwuVQsNqdUpAghhBBCCCEuO0GHKY888gi33XYbzzzzDPfddx9ms9n7XENDAy+88AJ79+7l7bffPi8HPV+ahia9e/fGZrNx4MABn7kpZWVlACQkJHiv8zzeNEw58zpx6Qgx6ugV1465Uwa4VwW3MCfEU8myaEWRTzjhqTBJS+rMzrLvvcNm/a1H9rTVrP/iAGMGX0FCXDvsDidv/P4GSg8cZ83WChYszken02A26miwOrDZndx3Sz9GDuhGYrf2LFvnJ/gZm0jnDma0Gg1PzEzHancQFqJvMUjxUFX4cNM+xmfGk1dUhUajYDJIkCKEEEIIIYS4/AQdprzyyiv06dOHJUuWsHz5cpKSkujQoQM//PADJSUl1NbWMmjQIF555RWf1ymKQm5u7jk/+E9VV1fH559/TmpqqvexzMxM9Ho9q1at4oEHHvA+vnLlShITE+nWrRsA/fv3JyoqilWrVvkM2125ciXt2rVj4MCB/7svIv6nPMGJpxrDX1VGS5Usew+e4GdjEsnOTAi4HrmguJri8u95du4obsiI5931zWeY5IzqRVZGPAtf3UZNvY20pC5MGtObju1MFBQfJvGKKHJGJfCrO08PiD14pJZ3/7OX/KLDqEBaUmduG9cHg77lDURNFZZUM3fKQIwGLQMSo7E7XFKZIoQQQgghhLjsBB2mrFixwvvPJ0+epKCgoNk1X3zxBV988YXPY/+LMOWTTz4BoLi4GIBNmzbRvn172rdvT1paGkuWLKGiooIhQ4YQHR1NVVUVr776Kt9//z3PPPOM9306dOjAL37xCxYvXkxoaChJSUmsWbOGgoICXnrpJe91er2eOXPm8PjjjxMdHU16ejoFBQW89957PProo212boz43wlUyWKxOmm0Ojh20hKwGkSrUZj3iyEU7qoOGLZs21XNrJxUlvzuWvR6DbX1NsoP1eByqXRuH8Kv/rYJi83Jk/emU3W0jldWFmOx+q5JLiiuZu/BEzw3d+RZVz83/Xx3W5GOyeMSZXuPEEIIIYQQ4rIUdJiyfv3683mOn2TOnDk+f3788ccBSEtL44033iA+Pp61a9eydu1a6urqCAsLY8CAASxcuNCnMgVg7ty5mM1mXn/9db777jvi4+P561//yujRo32umzJlCoqisHTpUpYsWUJsbCyPPvood9xxx/n9suKicmYli6rCgSO1fLCxLGBbTUubfTxUFRatKCK+ayQxHcwY9Vr69+7kDW1y7xtOcfn3qC7458pizEY9qO5Wo6bqG+0Y9bqAG4jO5FmpfOuYRGI6hAb5UxBCCCGEEEKIS4uiqmeblCDOF6vVSnFxMcnJyRiNxgt9HPE/0GCxo1EUJv9uTcDwIvfeDFZuLqeguLrF9wo16ci9bzh2p8tvK9DksX3oFBWCXqelvtFGaIjB73DbYD8PYGhyDPfdksqh7+ro0z1KWnyEEEIIIYQQl6yW7tmDrkwRQvx0ZpOemjprwCDFZNCSENfurDNMtBqF+dOGsLP8+xZbge6ZkEz3mAgWLM73zknxDLdduHQb9RYHa7ZWkJ2Z4HcDUVOKAreO6Y3D6WTV5gp6do2UMEUIIYQQQghxWdKc7QKXy+X38draWp566ikmTJhAdnY2Tz75JMeOHTvnBxTiUhNidLfV+GM26alvtJ215SbYVqBXPixGoygMTY7xhizzXspjX1UN86alodUo5O88DMDMnFQU/8dCUeCeCcl0aBfCv1bvZtLY3jIvRQghhBBCCHHZajFMeeONN+jbty95eXk+j9tsNu666y5ef/119uzZQ2lpKW+++Sa33347jY2N5/XAQlzsHE4XaUmd/T7XYLETGmIIGLZ4ZKXHs3JzedDrjLMyevg8tmTl6ZDF6VJ56rVCRl8dxzOzRzA0Ocb7+RqN+5qn7x/O8P5dUYD+iZ3o2imsNV9ZCCGEEEIIIS4pLYYp27dvp3379mRkZPg8/u677/LNN9/Qs2dPli5dyvLlyxk7diz79+/nzTffPK8HFuJiZzbpuXVsot8qEIvNSXnliYBhCwTfCuRRWFJNr7gojIbTLTlnhix9e3ak0eqgps7K+Mx43n4ii1cfvZa3n8hifGY8Kzft4+4nPmPrzioy+sUSYpQOQSGEEEIIIcTlq8U7om+++YZBgwY1e/zjjz9GURSefvppUlIvu/SAAAAgAElEQVRSAHjuuecYNWoU69ev55e//OX5Oa0Ql4i4TmFMz07226ZzthkmwbYCeXjWGZuNOqxNtvkUllQzd8pATEYtE0clUNdg54lXt6GqYDRoMRt1NFgdPq9ZvGInfbq3p1dcux/1vYUQQgghhBDiUtBiZcrx48e54oorfB5zuVzs3LmT2NhYb5ACoNPpyMzMZN++fefnpEJcQlQgJaEDufdmNGurcbkgLjqMmTkpfqtXgm0F8vCsM26wOnwe94Qs92Qn07lDKG99+o03vLHanByvtfoEKeCuaFm2tpQGi73V31kIIYQQQgghLhUtVqY0NDTgdPreTO3btw+LxUL//v2bXR8dHU19ff25PaEQbVCDxY5ep8FidWIyarE7XK0ayGo26XG54KO8CsZnxjN3ykDqLXYiQw18d6IRu8PJ6Ku70eeK9ixbV0phSbV37XH/xGgarXbSkjoHtc44LakLZZXHmwUjGo1CZKiB9NRYNBoNBbvO/l7grmjR6846u1oIIYQQQgghLlkthilRUVFUVFT4PLZjxw4A+vbt2+x6q9VKeHj4OTyeEG2Lxeqg8mgdy9btobDkiDfgSEvqzORxfYjrFIYpiHkiDRY7XTuFkpLQkd8t2opBryUq3MjzD43mob9uxGTQASqjru7GnNv6o1E01FvshJr0lFUeZ/N/DwW9znjCiJ6s3lLR7Lm0pC4cPFKLqkLnDmZCDFrqLQ4/7+LL5VKx2JyyFlkIIYQQQghx2Wrxri81NZWNGzdSVlZGr169UFWVFStWoCgKQ4YMaXZ9WVkZ0dHR5+2wQlxIFquDDdsPsmhFkU+A4Vk5vG1XNbNyUhk9qFvAAa1Nw5hd+37gN1MHk3tvBqs2VxAZrsfhcLL00euob7QRGmKg+od6XC6Vf7z/X4rLf/DOMNFqFJ6YmR5w7gq4g5Tp2cm4VJWC4sPNnpswoifvrN/L1p1VzMpJZd60NBYszsd5llksGo2CySBBihBCCCGEEOLy1WKYcvvtt7N+/XqmTJnCkCFDOHjwIKWlpVx11VXNKlOsVitffvklN9xww3k9sBAXSuXRumZBSlOqCotWFJHYPYpu0WFoNIpPG5BGUZqFMQsW5zNyQByzJqbwfY2Fv7/ztU/Fy9C+XZg9eQA3ZfRky44q7+ucLpWFS7cxf1oaf7x/OO9/Xu7TCpSW1IUJI3riUlVylxb6BCRnhiyecz99/3CGJseQV1TV4s8hLakLdodLKlOEEEIIIYQQl60Ww5SMjAwefPBB/v73v7Nu3ToAYmNjefrpp5tdu2bNGhobGxk+fPj5OakQF1CDxc6ydXtabKmB0wNabxuXyEPPb/KGG1OzriI5oaNPkKLVKGSkxjL1piTydx5uFtSEGLRkZ/ZEr9OgaBRm3JzCyx/sPOMMCmaTntvGJXrnroSF6LFYHTRaHbz20W4aT81KaSlkUVVY8Xk5U67tQ0Hx4YDVKYoCk8cltmo+jBBCCCGEEEJcas463GHWrFlkZ2ezY8cO2rVrR//+/QkJCWl2XUJCAi+88ALp6enn5aBCXEh6nYbCkiNBXetZOazXabDanLhcKr27RfHO+lJvEBJq0jF/2hAiwwxUf1/fLEgx6DT86f8yMejd1R8dI0307NqdYSkxbPzqEG9/9g3zpw1hX1WNt82n6Tpjh8PFsJQYfnFTEg/fMRCLzYnJoKW2wcbmrw/xxprd2ByuZuf+1Z1X8+SsdJ58dVuz+SmKArNyUunaKezH/yCFEEIIIYQQ4hLQYphy7Ngx2rdvT2xsLLGxsS2+UWpq6jk9mBBticXqDkWC4Vk5bDbqsJ4KMRLi2nnDGK1G8QYhPWMjWbm53CdICTXpeOr+4VhsTt74eHezQbeTxiTy/x6/ngNHan3mpVhtTp+NPVt2VJFXVMVT92WwYXslm78+RL/eHZkwIoHf3zOMhUt9AxOXS6Wm3kb1D/Xk3jecR/62yd2edKqiZfK4RLp2Cgs4D0YIIYQQQgghLhct3hUNHz6cQYMGMW7cOMaMGXPWQEWIS5XJqEWjUYIKVDQahVCTngarO6gwm/TUN9q8rx2WEgPAm5/s5l8LrvepePEELSUVP7B4xc6Ag24X/WYMy9eVBtV29MHGfYzPjOezbfu9r5+endxs4Kzn3Is/2MnCWRksW5jlrWhp7epnIYQQQgghhLiUaVp6cvLkyXz77bcsXLiQMWPGMHHiRBYvXkx5efn/6nxCtAl2h4u0pM5BXZuW1IWyyuPeKpEGi53QEAMajQJAVno8KzeX0y7MRKPFjkF3+tdwWEoMKDQLUpoy6rW0CzO1qu2oV1wUxlMbeFQVlqwsRqMoDE2OaXZui9XJO+v30mh1oAH0Oq0EKUIIIYQQQgjRRIthymOPPcamTZtYvnw506dPp6Ghgeeee46bbrqJ66+/nmeffZaioqL/1VmFuGDMJj2Tx/ZBUVq+zrNyeE3et97HLDYn5ZUnSEvqTIRZT5/uUWSPSOD5h0ah12t57bHryb03g9FXxzFhRAIrN5W3WHHiqXRpF2YMakVx07YjD1WFDzftIyujh99zF5ZUYzLoMMgKZCGEEEIIIYRoJqjhB6mpqaSmpvLII49QVlbGZ599xrp163j55Zd55ZVXiI6OZty4cYwdO5a0tDQ0mhYzGiEuSnHRYczKSQ24HvnMlcNNrdlawcTRvbnvln7srz7Jyk3lzWahTB7bh9hOoeza94Pfz9dqFIalxHBjRjyRYUaemZ1JaIiB8soTrNlaQf7O01t4TAZ3NUmDxY7N4fJpO/LwDMo1GbXcef1VPud2uVQsNgc6rUZWIAshhBBCCCHEGRRVPdvUhcCqqqr47LPPWL9+PV999RUul4uIiAiuueYaxo0bxzXXXHMuz3rJsVqtFBcXk5ycjNFovNDHEUFotDo49F0dy9aWUlhS3SQM6ULOqAQcThe5SwubbcIJMWh59dFr+fyrSj/rjd0UBWbmpNKtc5jPLBM4vf0HYOXm5kHMhBEJqMD6wgOMGXwFCXHtqG+0ERpioPqHerRahTl/+bzZyuPXHruOo8fqsTl8z63RKLyTe6N3m5AQQgghhBBCXG5aumf/SWFKU8eOHWP9+vWsXbuWgoIC7HY7u3fvPhdvfcmSMOXi1WCxo9dpfAa01tTZuO9P63E4m/9K/TK7L1fGd+BXf9vUYguPokDuvRms3lJBXlEV4K5IeWJmus8aZH+vm5mTwrCUWBa/X0TBrmqfsCVnVC+cTtVng48nMPn78q/Z/PUhn6BlaHIMcyb3J8xs+Gk/KCGEEEIIIYS4SLV0z37O+nHat2/PpEmTePnll8nPz+cvf/nLuXprIdocs0mPXqcl3GzwDmiNCjdyz4QUv3NVhvfvyrvrg9u+03SWCZze/hMoSPG8bvGKnVR9V4einN465NkA9JsXt7CvqoZ509LQnhqEm5bUhW/2H+Pzryp9ghRFgcnjEiVIEUIIIYQQQogAflSYUl5eztq1a/nggw/8Ph8aGkpWVtZPOpgQFxuTUcfoQd149sGRDE2O8W7viYowEm42/OjtO57tPz8miGn6XNMNPv4G5YI7SJmVk0rXTmFBnVUIIYQQQgghLkdBDaD12L17N/Pnz/dp37n55psBKCws5J577uG5556TWSnishVi1NErrh1zpwzwaQNqtDq91SJn43Kp2OxOQk06FCAhrl2rgpi5UwZiNGi9q5k9PGHL+Mx4Unp1wGzSU1hSDeCd+zJpTG+6dgojxNiq/2kQQgghhBBCiMtK0HdMFRUV3HXXXTidTn7+85/z7bffsmnTJu/zgwcPJjIykk8//VTCFHHZM5v0AN5NOCruwCKYQEWjUTCbdPz6rkGsKzxIfaOtVUGMZw3ymWEKuMOWX915NeFmA/UWO//v8RtwOF0Y9BrqG+3888NikhM6MPrqbt7vIIQQQgghhBDCV9BtPi+88AJ2u5133nmH3/72t6SkpPg8rygK/fv3Z+fOnef8kEJc7Kw2J2lJnYO6Ni2pC3v2H2PV5grGDI4jMszobRk6G41G8bsG2cPlUqlrtPOHfxbw2xfz+MUfPkWn1XDPwnWEmvR8sfsIi1fspPJoXdDfTQghhBBCCCEuN0GHKQUFBYwbN45evXoFvCYmJoajR4+ek4MJcSkJMerIzkzwO5y2Kc8sk4/yviWvqIrfLcqntsHWqiCmrPK436oUcIctJoOO2kY7AP16d6Ks8jgn6qxY7U7MRh2qCu+s30ttg61V31EIIYQQQgghLhdBhyk1NTV06dKlxWtUVcVut//kQwlxqWk8tY54enZywEBFUdzPazQKX5e6Q8lhKTHUN9pbFcScOVS2qaZhS9PrNRqFEKPOu9WnsKQao0FLY4AKFyGEEEIIIYS4nAUdpnTs2JEDBw60eE1ZWdlZAxchLkcmo5anXiskPjaC3HszfLb9aDTuDTvPzB7B2MFXEB0VwquPXkfuvRlMubYPb3+6BwguiHGpKgXFhwNe4wlPzrw+LakLjTaHd22yy6VisTr57njDuf9hCCGEEEIIIcRFLugBtEOHDmX16tXs27ePnj17Nnu+qKiI/Px87rjjjnN6QCEuBXaHi749O7BgcT5Dk2MYnxnPQ7cPxGZ3EmLUUddo5z9fHuQ3L27B7nCd2q7Tmcnj+pA1PJ7n3vqSB6cMJPfeDD7ctI/CkmpcLtVnC0+42cBDf/3cW13SVNPwRFUh994MXKpK7tJCXKrKhBE9Mel13lkr7nYgLe/9p4yZOSkyjFYIIYQQQgghmgg6TJkxYwaffPIJd955Jw888IB3NsrevXv54osvePHFFwkNDeXuu+8+b4cV4mKl02qYNCaRbbuqySuqIq+oCrNRx+9nDKXiUA2LVuxEbZKBuFwqBcXVbNtVzfTsZB6cMpDHXylgcFIXxmfGM3fKQOotdkJNesoqj/NR3j7GDL6CP8zMYPm60mZhy+SxiXTuYEar0XDjcFi9pYKC4sO4VJXp2cmYTXr2HDjmnbWSltSF2gYbn39Vyf0/63eBfmpCCCGEEEII0TYpqqoGt3MV2LRpEw8//DB1de5NH6qqoigKqqoSERHB888/z7Bhw87bYS81VquV4uJikpOTMRqNF/o44jyxWB3858uDxEWHc+DISRafCk6G94slKz2e+YvyaOm3UFHclSSrt1SQV1QFgNGgxWx0V5J4AhCTQctbf7iBkw02ws0GLDYnJqMWi9WBze5k2Wd72Ph1FY1WhzdkmTCiJy5VRafVsHLTPvKKqlAUeGb2CEoqfmDP/uPcd0s/jAYt1lPvZ3e4pFJFCCGEEEIIcclr6Z69VWEKwMmTJ1mxYgU7duzgxIkThIWF0b9/fyZOnEi7du3O6cEvdRKmXLoaLHb0Og0WqxOjQcue/cdZ/8UBJoxIwO508cHGcsYPj+f9z8soKK4+6/t5WoPmv7TV7/OhJh259w3H6XKxfF0pO/Z+j8mgxWJz0q93RyaO6kXnDqGYDDqfipaPt37LVfHt6RETwYLF+bhUlRk3p5CRGsOh7+pRVVi5uZzCkiNNKl3c7UdxncIwGYMubhNCCCGEEEKIi8o5DVPEuSNhysWvaWjiqdqo+q6eZev2NAsgJoxIIMysp324yRtCTJr3ES4/M07OpNEo/PuJLGY/+zknai1Ymqw+1moUnpiZ7lP1ciZFgXsmJBMfG8lf3vySeouDfr07eStTnn7tC/r27MikMb3p2M7EkWMNlB44wZKVxQHfb1ZOKqMHdSNEAhUhhBBCCCHEJaile/ZzchdUU1ODXq/HbDafi7cTos2zWB1UHq3zhiYK8MSsdL6tquGVD30DCINOQ+mBE/xhSQFTb0ziqh7tWbi0kKfvHx5UkALuGSoOp4un70snxGSgvPIEa7ZWkL/zMMNSY9DrNAGDFABVhVc+LObZB0fyj19fg1arwWJzEGLU0Wh18q8F11HbYGPTfw+x79AJrh3SI2CQ4nm/RSuKSOweRa84qUgTQgghhBBCXF6CDlPy8/PZvHkzM2fOJDIyEoAffviBOXPm8OWXX6LVarnjjjv47W9/e94OK0RbYLE62LD9IItWFHnDhuH9YuFUYKGq7mqRYSkxZKXHkxDXjvpGG6Eh7hBEp9WQ3LMDoSEGNBol6MoUrVbDzCc3YHe4vJUuk8YkEhlmYNH7RS3OXQEw6rV8tKWC6dl9OXqinh2l37F8fSlR4SaOnbRwst4GuOezrNxcftb3U1VYtraUuVMGNJuh4q9iR+asCCGEEEIIIS4VQYcpb7zxBnv37uXXv/6197E//vGPbN++ne7du1NfX8/rr79Ov379yMrKOi+HFaItqDxax78+2kVUuIkGix2LzUlWerw3gAg16Zg/bQjgf95IzqheTL2pLxVVNaQldQ5qZkpaUhfKKo97h816Nv3cd0sq1wy6gsKSI35f5y/UMRi0RIWbuD69B0nxHVi2rpQDR2oBMJt09O7WLuD7namwpBq9TuP985kVOzJnRQghhBBCCHEpCvqu5ptvviEtLc37Z4vFwqeffkpGRgZLliyhrq6O7Oxs/v3vf0uYIi5ZVpsDjQb+teB6b7VJxaETJMS5AwitRmH+tCHsq6pp1ibTdN3xrJxUropvT3ZmAtt2VZ91m8+EET1ZvaXC53FVhX+vLWVYSqzf6pazhTqTxiTStVMYd13fh1/deTWNVgcGvRar3dmq9iOLzYlep/VbsePve8ucFSGEEEIIIcTFLug7mmPHjhEdHe39844dO7BareTk5AAQFhbGqFGjWLt27bk/pRBtQKCqi2uujiOuczgul+pu94Gg5o08dV8GEaEGpmcntzjodXp2Mi5VpaD4cLPn6xvtGPXaZu1CwYY6M25OYfTV3aipsxIRaqSu0UaoSd+q9iOTQQu4K3bODFL8fW+ZsyKEEEIIIYS42GnOfombwWDAYrF4/7x9+3YURWHw4MHex8LCwqipqTm3JxSiDfBUXTz0/EYKiqu9QYPLpbJlRxV6nTvQaNru0xJVhQ827qO2wUZ8bAS592YwNDkGjUYB3CHF0OQYcu/NcD+/tBDnqc80GbS0jzB5Vx/vrTxBWlJnn/cflhIDnD3UefmDnRz6ro4tO6q4df5HLHq/iHqLvdn7BZKW1AW7w0WDxc6ydXuCnrPSYLEH9f5CCCGEEEII0RYFXZkSFxdHQUGB98+fffYZ3bt3p3Pn0zddhw8fJioq6tyeUIg2oKWqC4vNSXnlCTJSY7ztPsEoLKlm7pSB/PLJz7h1XCKzJqbwqzuvxmpzYjRo+Wb/MVZvqfBWpAzvF+t3oO2+yhPcOibRp12oNaHOO+v3MmtiCq+u2kVBcTU6nYZbRvcOqv1o8rhEzCY9dofzR89ZEUIIIYQQQoiLTdBhys0330xubi6TJk1Cr9dTWlrK/fff73PNnj17iI+PP+eHFOJCCqbqYs3WCrIzE6hvtLVq3kiDxc6j04fgcKoser+IHXu/JzoqhD//3wgWLi2kweI46+yTCSMS6Bodxv0/68eL7+7AqNe2OtT51Z1XExFq4GS9jfyiw2QNi2dmTkrAdcuKArNyUunaKQwAi/XHzVkRQgghhBBCiItR0GHKlClT2LFjB2vWrEFVVUaPHs2MGTO8z5eWllJaWsrs2bPPy0GFuFD0Os1Zg4n/7jlK9oieRIQaWzVvJCLUQEHxYZasLGZocgyP3j2EhLh22BxOXltwHXsPniDMrKeo7PsWZ5/MzEll5ICudO0UxvovDrY61LHYnLSPMHGy3obTpbJw6TZy7xvOs3NGsmxdKYUl1U0CnC5MHuceXusZJGsyNp/b0tL39sxZEUIIIYQQQoiLUdBhil6v5y9/+QuPP/444J6P0lTHjh354IMP6Nq167k9oRAXWKCqizPXDjdYbNgdzlatO65tsPHmJ7v5w4x0oHnlydSsq+ib0PGss08WrygiPjaCvQdPMGZwHJFhrQt1TEYtdfU272P1FgeP/G0Ty3OzmDtlAHqdBovNicmgxe5wYTbpfd7D7nC16nvbHS6pTBFCCCGEEEJctFq9n/TMEMWjffv2tG/f/icfSIi2xl/VRaDWm5EDuwY9b2TSmN5s+qqSeb8IvHWnd7co3l1fGtTskxWflzM+M57f/mMrT92X0apww2J18Je5I3nk+Y18d8I9aNrucNFodRJuNgB4ww9/IYjZpGfy2D6tmrMihBBCCCGEEBcrmQIpxFl4qi48mq4dnr8oz7vdR6tRUF0Q3d7MrJxUFMX/+3nmjcRFh1F+6CTgf+uOydD62Se94qIwGrR8lOee4RLoDE3PcuvYRDZsP8jWoiqemTMCw6nhsK1tx4mLDgvqe3vmrAghhBBCCCHExapVlSkNDQ289dZbbNmyhSNHjmCz2ZpdoygK69atO2cHFOJCO7Pqwt/a4aaVKq+uKubaId3JvTeDDzftazZvZMKInmi1GhqsDq4b2j3g1h2zSd/q2Sf1Fjtmo478nYfJSo9nenZywBYhRYHp2cl07RTKY4u3Umexk3hFFHfecBWvrtrV6nYck1HH6EHdSOwexbK1Z5+zIoQQQgghhBAXq6Dvak6ePMntt99OWVkZYWFh1NXVER4ejt1ux2JxtwVER0ej08mNkrj0eKouFq0oarZ2uGmliie42PJ1FUOTYxifGc/cKQOpt9iJMBuoa7SxZGUxO0q/Y8nvrvVbeWIyaDGb9LhcLkJDDK2afRJq0tNgdXiHyM6bltZiqONSVWw2J6FmPbWNdu+a5KWrd/2odpwQo45ece2CmrMihBBCCCGEEBeroJOPl156ibKyMhYuXMjEiRO56qqrmDp1Kvfffz87duzgD3/4A2azmSVLlpzP8wpxQXiqLvr0iKJrxzCfAMRfpYrTpZJXVEVeURVGgxazUUejzcFj04ei12r5zdQ0Gqx2VBVvi1DTYbb1jTZCQww0Wu1MzbqK19fsxnmWQCUtqQtllcex2pyAe4jsgsX5zUKdyFADlUfrWH5qS8+/n8zi+YdGU155go/zvyXcbGD2pP4/qR3HE5y0NGdFCCGEEEIIIS5WQYcpGzZsYPDgwdxyyy0+jyuKQv/+/XnllVcYP348L730Eg8++OA5P6gQF1qIUUdC13acrPdtvTmzUuVMVpvTG3Cs2lzBzIkpbP76EGu/2M8DP+tPuFnPb6emAc23+aQldWbSmESemJnOwqXbqLc4/H6GZ6BtTZ0VRcFvqGMyar1tPY8uysfpUhmaHIPN7uTuJ9fSr3dHJoxIwO5wkd4vVtpxhBBCCCGEECKAoAfQHj58mL59+55+oUaD3W73/rlDhw6MGDGCNWvWnNsTCtHGeLb7QOuHxGq1Cj/UNLJkZTGbvjpEbYONJ2dlNBtmC+6KlYLiah752yb2V59k3rQ0tJrm0109s09sdidGg5Y/3j+cockx3jNqNApDk2N4bPpQYjuGsvDVQpwuFUWBCSN64lRVTAYtBcXVzHspj41fVZ51e5AQQgghhBBCXM6C/lfPISEhKE3WdISHh/Pdd9/5XNOhQweOHAnuplKIi5XN5vSuHW7tkNgbhvVg+bpSjHr3XJSD1bWYQ/QBh8SCu8rk5Q928szsEdx1quXH3+yTJ1/dhsXmJD01hlkTU3jkjqs52WAj1KSnrPI4q7dUUFB82BukTM9OxqWq6LVaGqwO72ctWlFEYvcoesW1O1c/MiGEEEIIIYS4pAQdpnTp0oXq6mrvnxMSEti+fTsulwuNxl3g8uWXX9KxY8dzf0ohLrAGi909UNXqJMSk49axiWzbVU2DxR70kNhQk47EK6LIHpHA3ClXU99oIzLMSOXRWjJSY8nfeTjgXBRVhXfW7+X/bu3HDcPicTpdGA1avtl/zCckAdj8dRVffXOU+XenoddqWLq5gryiKm8AMzQ5xhvAfLbtAIC3DcnzWcvWljJncn/CzIZz9BMUQgghhBBCiEtH0GHK4MGD+eSTT1BVFUVRyMrK4sknn+See+7hmmuuYdu2bezYsYMpU6acz/MK8T9lsTqoPFrHsnV7vLNM9DoNf5kzwrvdp7zyhLdSJZBQk44FvxzKgSMnWbmp+VyUCSMSyEqPb3EuSmFJNSbD1cx6ej1/np2Jze5g/ktb/V5bb3Hw6CL38NmsjB48MKk/DqcLvU7D3oPuKpVtuw7zxMx0Vm+p8PtZep2WRqtDZqcIIYQQQgghxBmCvkvKycnBbrdTXV1NTEwMt912GwUFBaxbt468vDwABg4cKMNnxSXDYnWwYftBFq0o8mnBsTtcfLixnJ/fmMQVXcIpPXCC7MwEtu2q9tuq41mdvPfgiWbtPJ65KNt2VTM9O5l509JYsDjfb4WKy6VisTkJD9VjNupRocWKmKbDZ0OMOl577Dp+uXAtJ+ttPm0+BcWH/X7WyQYbqktFVVVvVY7JGNya46aVPMG+RgghhBBCCCEuFkGHKX379uXxxx8//UKdjhdeeIHi4mIOHDhA165dSUlJ8bb8CHGxqzxa1yxI8Rgz+AoWv1/krtLK6EFCXCQzc1JZ7Od6f6uTz6Sq7udz781gaHIMeUVVza7RaBRMBi09YiLZW3kcBeWsFTEe/Xp3osFip9Hq8GnzyV1a6De40WgUIkMNlFee4JUPdzarpJk8rg9xncIwnVG14q+S52yvEUIIIYQQQoiLzU++q0lOTiY5OflcnEWINqPBYmfZuj1+ww/PBp+CXe7NO3lFVURFGPnNXYPJvTeDDzfto7Ck2hskTBqTyNuffXPWDTmqCh9u2sf4zHi/YUpaUhdqG2yMS7uC1VsqUBTIGdUrYEWMh2drj83uYtnCLL75tvmcFX+f9f2JRv6/F7cErKSZlZPK6EHdvG1AgSp5WnqNEEIIIYQQQlyMpIxECD/0Ok3Adcf+NvgcP2ll3kt5rN5SwfjMeN5+IotXH72Wt5/Iomt0WNCrkwtLqukVF4XRoPV5XFFg0pjeHD9p8bbmFO6q5orO4dwzIZkQo5b2ESZMfmZzOBkAACAASURBVF7naef51+oSTtbbmL9oK3lFVQGDFM9nvfHx7hYraRatKOLQd3Xex/xV8pgMp8/l7zVCCCGEEEIIcTFq1b8ettvtrF+/nqKiIk6ePInT6Wx2jaIo5ObmnrMDCnEhWKzOgLNIAm3waTqjxGjQYjbqMBq05N6bEfTqZJdLpd5ix2zUeTfsKArMuDmF2I6h7Kuq8bbmjBrYFZNBR3pqLNcN7UFtg40Qo57yyhN8nP8tTqfK+Mx4bztPo83Jw3cMZMbNKbz8wU6/QYmiwMycFHRahfydzWepNOXZ+jN3ygAAbyWPVqMwLCWGrPR4EuLaUd9oIzTE3TK0ZmsF76zby5zb+ssMFSGEEEIIIcRFK+gw5ciRI9x9993s27cPtYWeAglTxKXAZNQGHO5qsTnPusHHanNitTkxGbSEm4NbnQzuWSWhJj0NVsepWSNdmDSmN7EdQ3n9o918Vrgfp0sl1KRj6o19qThcw/J1pc3nk4ztQ/tIE6+tLmHjfyu9VSiNVgc9u0b6bUdKS+rChBE9iY+N5J7ctQErV5pyb/3RnPrnI4SadMyfNgSAlZv9by1SwfsaIYQQQgghhLgYBR2m/PGPf6S8vJwbb7yRW2+9lZiYGLRa7dlfKMRFyO5wtRiWrNla0eIGHw+r3UmD1RH0oNi0pC64VBdLf3ctRqMWq82JxergF3/4FKvdBbgrP3539xDydx5ucT7J9OxkxqR1Y+N/KwF3UBNi1PH0a1/Qt2cH7v7/2bvz6KjKbO/j33NqzEAIQyAJYQiEgCGJDBIgISCTYJQhKiKttiIi0A408GorNNhKi933elu9TkRUaLX1Iq0BpBFlkCkkxAlDmBMikAlQEshUc71/hCpTVIaKElTYn7WyhKqnznmqXIu16pf97D2+D4/eNYDzVRb8jTryCsvY9nUhHdv6U1FtBWqP6fgbdVSbrJgs3pVorglDCqAAC6cN4ljxuSanFnUPb41OK/9+CCGEEEIIIX6bfA5TMjIyGDhwIP/zP//TkvsR4lfB36hjyuheDYYlmftKSEmMZPqE2Aan9LiO5+i1qk/Bi6tR7LavTtKraxuC/A3otCoV1VbuTolx38c1HaihSUNQ/3SghJhQTBYbA3p3ZMygLhj0GsoqTJRVmHjyv7KoNtsw6jXcNz6W5L6duHFIt3qP6WTu+7FxrWvCEEBifDjg29SiPt3bERUR3PCHIYQQQgghhBC/Yj7X2pvNZuLj41tyL0L8qkR0CGRWajyK4v2c3eFk6co9DOoTyv/MGc7g2DBUtXahqioMjg3juUeGkRgfxv97cTuB/jpmpsbVey3wbBT7xtr9zH9xJ1n7S9FqNTidTiLDg1g6O4lpN/fh/omxrN2R7/N0oJSkbigKTBkdjZ9Ry6Tru7NuxzGm//UzsnJL6dgmgOtiOgK1x2+sNjs3J0Wybmc+Uxdt4L6/bmLqog2s25nPTUmRLJmZSICxNodNiAnFanNgtTm4bWQU63b6tq9Vm45QbbI2vlAIIYQQQgghfqV8rkzp2bMnxcXe41qFuJL1792h0f4iTieEtw/g4duvxagfgOlCn5SKagsaVWHlxwd4cHI/qk02runWttFruRrFuqo+3lyXS8/OwXQJbUXmvmISYsIw6DUEGHXNmg40d2p/ZqXG0T7YyMnSSqpMVvfoZdc9Hpp8Lffe3IcAo5bPvyokrYnjQ4vvH8ySN7OYMiba3Ug2okOrZu1L+qYIIYQQQgghfqt8DlOmT5/On/70J/Ly8oiKimrJPQnxq1B4upJHX9rBoD5hjE+OZO7U/lSZrARc6C+yflcBe/aX8OyDQ1m7PZ+cvO9pG2Tk7HkT56ssDOvbiekTY9m5t4g31+WiKrUVKxdfq7zChNVmZ94LO7DYHO77O52Qvi2fOXf0ZUhcONu/LmT1lqP898PJzZoOZLXZGRIfTkW1hdVbj/Dw5H4Y9LX9WNz3mNKXD7ceJenacK8gpS7XMZ3/mTOMt58ch9n6Yx8Vk6XhCUj17ctksUvfFCGEEEIIIcRvUoNhyhdffOHx93bt2jFixAjuuOMOfv/739OnTx+CgoLqfe3AgQMv7S6FuMyqTVZWbT6Mze497rjabHOPLQb4cGse45Mj2fVtMRarHX+jzt1H5ExZjbuHiN1Z/7UsVjtLZycxMCbUXTHikn2gFKNOy7Hic6Sl78Og09Q7lrkhqqpgNGgpO2eirMJMZk4J942P9Ri9nH2gFL1Ow/D+EXz0+VGfjul8sPko45Mj+XjnMaaM6UVESCB+jUxAqndfeglShBBCCCGEEL9NDYYpd999N0o9DR6cTievvvpqvc+5HDx48NLsTohfiE6reh1ZcY07vlj2gVLm/64/z/4hie6dfmzYWmO2suyj+qs8Lr7W2h3HGJ8c6RWmOBxOaiw2Vm85gtPp21jmuhJiQjFbbHx/voalK7Jxgnv0ct17mC12uoUFNfv40DdHzrBnfymzUuMZ3j+CwX1C2b2vxKd9WW0OqUwRQgghhBBC/CY1GKY8+OCDjQYmQlzJTObmHVkxW+1s+eIEC5ftxuFw4m/U8s/FY5sdTriO37j4G7UY9BqP6/g6lllR4PbRPdnxdSEfbsvD7nCSEBNKXmGZxz1UVcGg11BjtjXrPVeZrO4Kl2XpOUR3bcO9N/chM7ekyX3V7bUihBBCCCGEEL81DYYpDz/88OXchxC/KsYLR1b0WhV/o45qkxVTPVUpUBtG6LQadn5b7A4jjHotFdWWnxxOuCTGhWO6KOTwdSzzjImxtGvtx8iBXRkUG+aultn5TREaVXE3uk2ICaXoTCVh7QKadUynboWLa0LPnCl9mZUa3+DYZkWBWanxdAoJ9OlzEUIIIYQQQohfI58b0ApxNXE4nDz/x2GEtgt0H9vJLyxnw+4CMveVuIMIoN5qj2qTtdm9TS4+fqMoMD45EqNe63Edu8PJMyv2sGBaQoPTgW4fHU271kbe+jiXnXuL6zzXkYnDerBkZiLPrNhDtdnG5FE9Wb3lCDcOiWzW8aGL33P2gVIMeg0jrutMdNc2rNp0xGtfU8ZE0ykkED+D/NMjhBBCCCGE+O3y+RvNiRMn+Prrrxk+fDht2rTxev7s2bPs2LGDAQMG0Llz50u6SSEuJ5PZRuHpSlZtPkz2gVNeQURKYiTPrNhDlcmGosDEYd1Zv6vA8xo/obeJK5zQqApD4sO4JyWGoAA9lTVWkuLDyDtZDiiUVZioMtlYnJbpNR2olZ8Oq93B4eNneeylHdjsPwY5F483XjAtgcLTFVisdnbn1B7N8fX4UH3v2TWhp5W/nqiIYOZO7YdOq7rHRVttDjnaI4QQQgghhLgi+BymvP7662zevJmbbrqp3udbtWrF3//+d2644QaeeuqpS7ZBIS4nk9nG1i9Peh1TqS+IePL1TKZPiCU8JIAvDngHJpuyj3P76OhmhROt/HX8dVYSNruDapONqhorIW38+OMd/d2hhMVq5+x5E6s2HfGYDhRg1PLEPQNpHWjg6Tf3NDne+LlHhtEnsh1/enkXdofT5+ND0yfE4nA6ycr1bDR78YQeV3DiajIrzWaFEEIIIYQQVwrV14XZ2dkkJiai09X/m2WdTkdiYiJZWVmXbHNCXG6Fpysb7PcBPwYRWo3Ki/Oup0toK0p/qGZgTKjX2tz8HwhtF8D0CbE01MtZUWBmahyR4a2ZPjGWNxaO4dB3Z9nyxQk6tPHD4XTy0gd7mbzgP9y5+BMmL/gPL676hsoaK/dPjOWZ2UkEGLVYrHZuGdGTDm0DWLn+gE/jjddsz6faZHMfWXIdH4oMD2Lp7CQGx4ahqrUbV1WFwbFhLJ2dVPv8imyPo07w44QeIYQQQgghhLjS+VyZcurUKcaOHdvomvDwcLZu3fqzNyXEL6HaZGXV5sM+BRHp2/KZekMvFqdlMjAmtN6xxhXVFjSq6g4n6uttMmV0NG1bG3nv00PcmNiNsvMm3vo4l5WLx7L9myLSmqiQSYgJZekfhmKzO7BY7fgbtGTtb/hYkUZVGBIXRkpiJD0igrHZHbz95Djy6vSDcR0femRKX4wXpvxoNRryCstYv6uArNwSryBFJvQIIYQQQgghriY+hyk6nY7KyspG11RVVck4ZfGbpdOqzR5lrNWqDY41dvVN+c+uAowGDbNuiePRuwZQWWPFqNeSV1jGh9uO4rA7uXVkT4ICDPzfpsPce3Mfir+vIi09B4NOU+80IVeFTI9OrWnX2kj71oE88o9t/O3BoQ02vA0walk4bRAA63bmN9oPJjO3hPl39ken1WC3O9n+dSGvfPitTOgRQgghhBBCCJoRpvTs2ZPt27djtVrrPepjsVjYtm0bUVFRl3SDQlwuJrP9J40yLrOY6x1rDLBhdwE3D+0OwK5vi3l340H89FqqzTaPtZm5Jcy+JZ7Jo6Jp08rA5uwTPDMriR4RwQ1OE3I6Ye2OY9wxJppqPxu3XB+F0aCtd4KQRlVYOG0Qx4rPefVDqa8fzH92fYfV5kCn1WA0aBnWP4IenYNlQo8QQgghhBBC0IwwZcKECTz11FP88Y9/5C9/+QshISHu586cOcOTTz5JSUkJ06dPb5GNCtHSjAbNTxplXN9YY5es3BIeSI3jh/Ia/rXxICazHZPZ7rXO36AlokMrbDYHWo1Kz85tmqweqTLZ6lTIKISF+JN3sv4JQkPiwgAabCwLP1a7LJ2dxL3jYzyO7PgZtDKhRwghhBBCCCEu8DlMmTJlCps2bWLLli3s3r2bXr160aFDB06fPs3hw4epqakhMTGRqVOntuR+hWgxVpujWaOMS3+owmyxMzg2jBqzlX7RHdxVGzqtyl3jrmF4/04EGHU4gpysXDzOq7oEfqwaKSg5R8+IYD7/qrDJXikLpiWwOC0T+4UKGaNe5X/e/Zre3drWO944JTGSdTvzfeoHs3bHMeZM6Vvv8zKhRwghhBBCCCGaMc1HVVXS0tJ44IEH0Gq17N27l88++4y9e/ei0+mYOXMmaWlpqKrPl7wkSktLWbJkCVOmTOHaa6+lV69eFBYWeq0zm838/e9/Z+jQocTHxzNlyhS++OILr3UOh4O0tDRGjhxJXFwcEyZM4NNPP6333h988AHjxo0jNjaWsWPH8v7771/y9ycuH42qkDo8qsHJOy6KAqnX90Cj/jjWeMc3Rcy+NY7Vz97EisU38O5T44jt0Y5lH+UwecF/uPfpz5i6aAPrduZzU1IkS2YmEmCszTJdVSMHvzuLzeH0ClLqclWPqIrinrYTYNSh12qpqLGSua92XHHdCUJGvYYeEcHN6gdj0EtIIoQQQgghhBANaVbyodPpmDdvHnv27GH9+vW89957rF+/nqysLObOndvg2OSWdPz4cT755BOCgoK47rrrGly3YMECVq9ezSOPPEJaWhohISFMnz6dgwcPeqx78cUXeemll7jzzjtZvnw5ffv2Zc6cOWzfvt1j3QcffMDixYsZO3Ysb7zxBuPGjeOpp57ivffea5H3KVqeqirYnc4mRxlPnxCLze4gpE0Af7g1ntB2AQzr14lAfz1mi52qaiubsk/w//53B1m5pe5jQ67qkgWvZXCs+BwLpiWgURV31UjKkEjW7fC9eiQlqRsJMaGUfF9JZY0Fs8Ve73jjQH8dVTWWZvWDMVm8jyIJIYQQQgghhKjlc5hyzTXXMH/+/NoXqSpRUVH079+fqKioy16NUtfAgQPZvXs3y5cvZ9y4cfWuOXToEOvXr+eJJ57g9ttvZ8iQIbzwwguEhYXx4osvutf98MMPvPnmmzzwwANMnz6dwYMH8/TTTzNo0CCee+459zqbzcbzzz/PxIkTmTt3LoMHD2bu3Lmkpqby4osvYrVaW/x9i0vPZLbzzFueQYSq1qYqqlpbCbJ0dlLt8yuysdntDOsbQXmFmfc2HsRssXOmrAaTxe5TbxJVUUju24keEcHk5H3f7OqRqIg2TBreHZ1WJdBP764mqTLZWJyWyfpdBYxPjiTt8dG0DjS430tTVFXBKJUpQgghhBBCCNEgn1OQgIAAwsPDW3IvP4kvQc6WLVvQ6XSkpKS4H9Nqtdx0003s2rULi8UCwM6dO7FarUyYMMHj9RMmTODIkSOcPHkSgL1793L27FmvdRMnTqS8vJyvvvrq574t8QswGjTUWOweQcT7S1J4a9ENvL8khfHJkazfVcDitExqLHaMBi079hYy78Xt2B1Q+kMV1SYr/956xOfqkhsTu1FVY8Go1za7esRitdO+tT/llbXThFr5/VgZZnc4ycgpZlFaJgA1ZhsJMR19unZCTChWm8OntUIIIYQQQghxNWpWZUpeXl5L7qXF5OXl0alTJ/z8/Dwej4qKwmq1cvz4cfc6vV5P165dPdb17NkTgPz8fACOHj3q8XhD68Rvi6sBrSuIWPjabn7/1Ebmv7Cd3z+1kYWv7SYjpxi7w0lCTCiV1VZe/TAHf4OWu1OuYcPuAqK7tGlWdUm3sNYE+ukxWWwE+OmbVT3ib9Ty/flq/vbPLwj00zH/zgEEGLUY9RraBhkx6jUkxIRSUW1h+9eFTB4V7VM/mCljomVCjxBCCCGEEEI0wudpPjNmzGD27NlkZGSQlJTUknu65M6dO0fr1q29Hg8ODnY/7/pvUFAQykXfOF2vLS8v91h/8TUvXid+W/yNOqaM7uUxCcdssWO+qH+IosCU0dF8/tVJVEVh0X2DCPTTc8OgblSZrM2qLqkyWTlTVk18VHvyC+sfa1yfhJhQCk9XsvDV3QyMCSWvsByz1c4rj43Ez1DbIyXAT4/ZYsNqdxAZ3hqtRmX6hNh6jyAZ9RoC/HRMHdOLTiGBPu1fCCGEEEIIIa5WPocpZ8+eJTk5mRkzZjB69GhiY2MJCQnxCh4AJk2adEk3KcTlEtEhkFmp8SxrYKKOosCs1HjCQwJ47OWdDIkLQ1VVzBYbDrsDg06Lqio+BSquSTzZRee4fXQvPtp2tN6xxvXtYcroaNbuyMPhdDJldDSdOgRQeLqKZR/lkH3gFA6HE1VVSIjpyK0jayum/vpWFn+c2p+ls5NYu+MYXx06xaA+oaQkRdIzIhiz1Y6fQYvNLkd8hBBCCCGEEKIxPocpjz/+OIqi4HQ6+eyzz/jss88APMIUp9OJoii/ujAlKCiIoqIir8ddFSSuipKgoCDOnz/vfh8urkoUVyVLUFCQ+/EOHTo0uE789hgNWkZc15norm1YtekI2QdK6wQToUwZE014+wBsdgdWm4OUxEg+3pXPH269ljU78pmQ3KNZ1SUOh4PITq0Ja+dPn8i2AA1Wj8CP04TaBxsx6FRmTIylQ1t/Pv/qJMs+2ufxGtf0oD37S5k+IZY/Tu3PU8uzGBgTysTh3Zk7tR9FZyr5YPMRrwBmypheRIQEYjT4/E+EEEIIIYQQQlw1fP6m9Oyzz7bkPlpUVFQUmzdvpqamxqNvSn5+Pjqdzt0jpWfPnlgsFk6cOOHRN8XVK6ZHjx7uda7H64YpF68Tv01+Bi1REcHMndoPnVbFZLFj1Guw2hz4G3VUVNU2jPU3aukREcxXh06j12nIPnAKrUb1ubpk0vAepKXvIyu3hH8+OY7E+E6cLqsmrkd7d/XIxWHOxGHdcTidvLFuP/fdHIOiKNjtDt7ZcLDJ6UFLZycxMCaUrNwSbkqKZFP2Ca/Qpm4AMys1nhHXdcZPAhUhhBBCCCGE8ODzt6TU1NSW3EeLGjlyJC+99BIbN250vw+bzcaGDRsYOnQoer0egOTkZHQ6HR9//DEPPfSQ+/Xr1q0jOjqazp07A9C3b1/atGnDxx9/TGJiose64OBg+vfvfxnfnWgpriasOq3G479Gg4bzVRYS48Lck3gqq2sn8WTuKyElMbLJ6pKZqfEowM69RdgdTgqKyukREczaHfncOKQbvbq05aHbr8VPP4Aasw2DTsPRk2Ws31VAVm4JTuCh267l3qc/5c5xvXni3gQWp2Vib+B4kWt60PjkSHcT2qbGNy9LzyG6axuiIqTSSgghhBBCCCHquiJ+5bxx40YAcnNzAdixYwdt27albdu2JCQkEBMTQ0pKCkuXLsVmsxEREcH7779PYWEhzz33nPs67dq149577yUtLY2AgABiYmLYsGEDWVlZvPbaa+51Op2OOXPm8NRTT9GhQwcSExPJysriww8/ZNGiRe5wRlyZrDYHeSfLuTExkqAAA4/dPYBA/9pJPHaHk2dW7GHBtIRGq0siw1sz+7+2uMOPbV8XEtGxFbv2FrNrbzEGvQZ/gxa7w4lGVag227wa4VbUWNHrNCxfW1t1kty3Ezl531NtsmK6aC3UTg+aO7U/NyUprN2R79P45lWbjjB3aj+Z7iOEEEIIIYQQdVwRYcqcOXM8/v7UU08BkJCQwDvvvAPUHlN6/vnneeGFFzh//jy9e/fmjTfeoE+fPh6vnTt3Lv7+/rz99tucOXOGyMhIXnjhBUaMGOGxburUqSiKwooVK3jzzTcJDw9n0aJF3HnnnS34TsWvgb9RR0iwPx3a+nGi9Dxrtudzy/VR7l4pVSYbi9MyGRwbxvjkSOZO7U+VyUqAUUdeYRmHT5ThcDopO292X3Pn3iJmTIpzN6+tb4pQXa7mtWaLnaT4cPyNOh66vS/nK80E+OnJLyxnw+4CMveVuAMb1/SgHhHBzRrfrNP6PEFdCCGEEEIIIa4KitPZ1O+na40aNcq3CyoKmzdv/lmbulqYzWZyc3OJjY3FYDD80tsRzVBtsrL1y5O8vqa26euIARGMT+7O/Bd3eFV8uKpMqs02LFY7f3twKOt2HCMjp9hj3d8eHMqa7Xk+Na8dHBvGxGHd3fdatzPfq4nsxGE9cDrhmRV7qDLZUFWF/1uSQmWNhfv+usnn9/rekhtp5S/VVkIIIYQQQoirS2Pf2X3+lbPT6az35/z58xQVFVFUVITVasXhkLGq4spXfKbKHaQAfHXwFGHtApiZGsfF08LNFjtlFWYsVjuzUuMJaxfAnv0lXtdcv+sYE4b18Hr9xRQFJg7rTit/PceKz7FwWQZZuaXuccyuJrILXsvgWPE5FkxLQHPhiFF+URkBfrVHknyhqgpGvcantUIIIYQQQghxtfA5TNm6dWu9P1988QWffvopycnJdOnShU8++aQl9yvEL67aZGXV5sPuIEWjKjx+TwI79xbRuWMrls5OYnBsmDuwUFWFwbFh/PfDyVw/IILiH6q49+Y+XqFJ9v5SOoUE8sAk70DGRVHggUlxdO7YivNVliabyL65LhdVURjWrxMTh3Vn/a7vyC8sJyGmo0/vNSEmFKtNAlIhhBBCCCGEqOuSNEPo2rUrL7/8MqdOneLll1++FJcU4ldLp1U9eo4MiQsD4LWPcliclsn6XQWMT47k/SUpvLXoBt5fksL45Eg2Z5/AanOw5I0sIsODvEKXQbFhnD5bTZfQhgOZpbOT6BLaCrvdwbqdnk1kjXoNbYOMHpUkrik+D0yKo1NIIFqtwsbM75iQ7FsFzJQx0dJ8VgghhBBCCCEucska0BoMBhITE/nPf/7D/PnzL9VlhfjVMZnt7iM1ACmJke5gw+50kpFTTEZOsUevFLPFjlGvYfqEWGos9nob1PrpNby46hu+OHCqwea163cVsPfIaVYuHkv2gVNoVIUhcWGkJEbSIyKYqhqLVwPa7AOlqKrK8rXfcsv1PenYzh+NqjAzNY609H0Njm+elRpPp5DAy/jJCiGEEEIIIcRvwyWd5qPVajlz5sylvKQQvzoGvcY9dceo1xDVuf7pOBdP5DFZ7By9cMQmK7fUI3Rp08rA/84b4W4i21AgA9A2yEhFtQU/vYaF0wYBDTegTUmMvNCA1kpu/g/s+raY+yfEMmpgF7qGBjU4vnnKmGg6hQTiZ7giBn4JIYQQQgghxCV1yb4pnT17lk2bNhEWFnapLinEr0q1yUrh6Up0WtUdiLQO0GO1eVaqNGZDRgG3j45mz/5Sd0WI2WLHYnVQWWPxuk59I5KrTVYC/PQsvG8Qx4rOefVNcTWg3bO/lOkTYlkwLYHWAXr6Roew45si3liXS+9ubdmQ8R0Op9OrAsbpdBDgJ9N7hBBCCCGEEKIhPocpDfVCsdvtlJaWsmXLFioqKpg3b94l25wQvxZ1RyEnxYdz28jaQGTS8B4Y9Vp3pUpT9uwv5eHb+zIrNZ5l6TnuEMQVkPhyHZPFzvfl1WgUxacGtH97cChnz5u4YVBXxiR05ZkVe1i95SjjkyNZ+NpurwqYFYtuaO7HI4QQQgghhBBXlZ8dprgEBgYye/ZsZsyY8bM3JcSvTeHpSvco5Mx9Jdw+OpqZqXEMjg2j8HSFu1KlKQN6d6S80szguDAiw4P4aFs+2QdKMVns5BeV+3wdrUYlfXteg0GKi9MJ6dvymXpDLxa8luGuVPnL8izmTu2PQa9xV7+YLXYZhSyEEEIIIYQQPvA5THn77bfrfVxVVYKCgujevTtarfRXEFeeymoLq7cccQcXdoeTP7+WwUuPjiTQX8f7nx1mQnIPj6M79XFNxwny17Ni/X5Sh0cx65Y45v+uPxU1VoL89UweFd3kdfwMGtoH+9Xbp6U+2QdKmTu1P3qdhjfX5bJ0dhIJMaFUmaz4G7Qex4hco5B1WglUhBBCCCGEEKIhPqcfCQkJLbkPIX619DqNO7jQa1V+n3INQ/t2ItBPh8ls54FJcZgsNv7xx+E8/vJOzFaH1zUUBe6fGEtEh0DsdiczU+OpMlkx6LTkFZaz7etCducU88S9Ce4pOwadBn+jjmqTFdOFwENRYPqEWEwW3/u0OBxOj+Bk7Y5jjE+OJMCoo9ps89ijjEIWQgghhBBCiKY1GaacP3+ed955h3379gHQt29f7rzzTlq1atXimxPi16DGbMPhcBISbOS5OcP5vryGZR/leE3PmTwqmpWLx7Ji/QE2f3HCYzpO6vU9CG0XwMlTlXyw+XC9k3eG94vgv1vHuwAAIABJREFUf//vaxZNH8zKxWPxN2ipqL4w6rionKMnyonuEoxGU3sUx9c+LaqqeAQn2QdKmf+7/hwtLHNXpcgoZCGEEEIIIYTwXaNhyvnz55k8eTInTpzAeeHcwfbt20lPT2f16tUEBQVdlk0K8UupNlkx6DQY9RqemzOc3TnF7t4pLnWn5zwwKY5pN8cwfUKsezpOXmEZfgYtGd8WsXxt45N3/v7wMIpOV/LOJwfrDWt0WpUlb2bxv/NH+NxfJSEmlLw6wYnD4cRstbPtqyJ32DNxWHe6d2oto5CFEEIIIYQQwgeNfnNavnw5x48fJyoqikmTJuF0OklPT6egoIDly5czf/78y7VPIX4ROq3KoeNl/L87B3CmrMYrSKnL6YTX1+wjuksbDh8/y+otR6k22xh4TUdSEiO9gpSLX/vmulx6dW3Dht0FHiHJxYHLH6f25+x5E6nDo/j26Bn8DJ5HgepSFJg4rDvrdxW4H1NVBT+Dljtu6MX0CbHkFZZx+EQZ3Tu1/lmflRBCCCGEEEJcLdTGnty2bRsdO3Zk9erV3H///cyYMYPVq1cTEhLC559/frn2KMQvxmS2syGjgGsi2/LvrUd8mp6zestREuPDKaswY7bYSUmMZN3OfJ9e++HWPG5M7Ob1nFGvoU0rI//aeBBVUTh1tpqIjq145y838twjyfzzyXEsnZ3E0GvD0agK8GN/FYfTSVZuiftaCTGhVFRb+L/PDvH7pzby52W7ubZniLs/i9Vmp6LKgtVmp9pkbe5HJoQQQgghhBBXvEYrUwoLC5k4cSJ+fn7uxwICAhg5ciRr165t8c0J8UszGjQcOn4Wo0HbrOk5j941gOBAA3FR7enVtQ3Zac2bvGPQa7DZHAyJCyMlMZIeEcFU1VgI9NdjMtuosdh4ZfVesvaXevVeSUmK5NOs44wb3BWH08nSFdnYL/RWcVWqbPu6kOH9I9iUfYLZt8TTuUMgZedN+Bm0lFeYCfTTk3eynCMny+jTvT0RIYEY5QiQEEIIIYQQQgBNhCk1NTW0b9/e6/H27dtjMplabFNCXErVJis6rYrJbMdo0GC1OXyeWGO1OUiKC8d0oQmtLxwOJ2aLnbQnRvNdyTkqqi3NnrzTvrWRB2/rC8C6nfn1Nqy9eWh3vj16hiqTzeMo0KzUeO4bH8Mba/aze1+xR5DiqlT518ZDvPf0jbw473o6tvWnoOQ8H2496nWfKaN70TbIyOHjZUR3bSM9VYQQQgghhBCCZoxGFuK3ptpkpfhMFavqmZ4zZUwvn6ot/I06Rg7sjFGvbdb0HINew6y/baGi2sI/nxzX7Mk7D03uS37ROd5c13jD2gXTEliclukOTJxOWJaeQ7fwIJyKE3udiUITh3V3V6pYbQ6sNgdh7QLY8uUJ0tIbbqo7Y2IsSdd2wmy1S5gihBBCCCGEEPgQphw6dIg1a9Z4PHbw4EEAr8ddJk2adAm2JsRPYzLbMFns7Nxb2Oj0nFmp8Yy4rnOTAUF4+0BqzLZmTc+pqLZwprwGgPzC8ma99kx5tbshbVMNa5fOTmJwbBgZOcUez6Vvy2fOlL784ZZr0WpVjp4sY/2uArJyS9wBi59RS0HxOa8g5eL7LF+bS2R4a0wWG9d0a0eAn29VPUIIIYQQQghxpWoyTNmyZQtbtmzxetzpdPLEE0/U+xoJU8QvxWS2caDgLDqt2uT0nGXpOUR3bUNURHCj1zQatGg1KpNHRbNnf2mjjWQVBSaP6smOb4rcj23YXcCE5B4+vXbisO7Y7U6fG9au3XGM8cmRHmEK1PZe0es0lJ83s2rzYT7LPuHxfFJ8OGaLjfRtec26T8kPVU1+XkIIIYQQQghxpWs0TElNTb1c+xDikig8XYlOq/ocRqzadIS5U/u5e6g01F9Fq1WJ6BDIA5PiGhyPrCjwwKQ4wtsHkP55vvtoz579pUweFc3M1LgGq0AUBWamxgFOQtsFNKvZrathrbnOaGSHw0lljZUqk5W7Uq4hI6cYk8Xubmjbq2sbTBY7D03ux41DItmwu4DMfSXu40IN3efl1Xt5aPK1PvecEUIIIYQQQogrUaNhyrPPPnu59iHEz1ZtsvLRtqM8NLlfs8KI2vDERuHpykb7q/gbdVzfP4LoLm1YveUo2QfqTtIJZfKonoQE+1FWYeL+SX2Yc0dfKmqsBBh1HCsup190B557ZFi9r504rDvhIYF8ffg0HdsGNLthrb9B6xGmqKqCUa9l5iubmXZTH56cMQSb3QHOCw1t07wb2qYkRvLMij1UmWwN3ufw8bPodZqf1dRXCCGEEEIIIX7rpJukuGLotCoHvztLVU3zpueYzHay95fy4gffNNlfRatR0WoUZt0Sx6N3D8BstmPQa6iqsWKzOyg8Xcmx4trGsXqdBn+DlmqzDbPFjkZVGBIXxrSbY3j0rgHUmG3otBryCmv7mezLO8PCaQNpHWhodsPaarNnAJIQE0peYRkms53la/exYtEN7Pq22KuqpqmGthffZ+7U/hQUn+ODzUd+clNfIYQQQgghhPitU3/pDQhxqZjMdiqrrQT46VFVxafXuCbvLFuT02R/laIzlRgNWsLaB1JWYWbFxwc4XVbFsaIy3ly3H6vNgU6ruhvHmi12yirMmC12jHoNrQMNfHnwFLP+XjvlZ+X6/fz+qY0sTstEUeDxexLoFt4Gk6W22a0vXKFJ3aoUV++VDRnfATA4NoziM1UNHk9yvcc31+WiKgqDY8O8nh/cJwyTxUZ+0Tnmv7iDrNxSd9jjCmTmvbCdrV+epMbsXdkihBBCCCGEEFcS+RWyuGIYDRosNkezp+ecPFWByWxvdN3F/VXC2wcw7eYYbHYnTqeTR6b0xWy1s2L9fndg4apESUmMpEdEMFU1FgL89BQUlRPop2PrV4X46TU8OTMRuHD85sApEuPCmtWwdv2uAo/Hpk+IxeF0kpVbAkBKYiTp25vXaLZuQ1tFgTvH9aL0h6omJwz52tRXCCGEEEIIIX7LJEwRVwyrzUFCTMdmTc+ZMiaaf39+1Kfr7z/2PQqQd7KcNTvyGDu4m7sHSU7e96xYNNbdqyXAqGXhtEHAjyGJ60jMyAERRHRshQIsnDbIfSzItdfMfSWkJEYyfUJsg+GFosCMiT+GJnV7rzicTpauyMbucGLUa+gREfyTG9q6wpkAPx3vfHLwJzX1FUIIIYQQQogrjYQp4orhb9QxZXQvHn1ph09hxKzUeMLaBZCZU9LktTWqwhP3JPD5V4UsX7uPpx9I5FjRjyFI2yCju1dLgFHLk/cPIb+ovN4eJbu+LWbGpHgS48MBvPZodzh5ZsUeFkxLYOnsJNbuOObVsDb1+h6EtvMn0E/PW4tuwKjXunuvZOX+OJXH36hrdg+ZKpOVQD8d/aI7MHFYd8CJv1HX7Ka+QgghhBBCCHGlkjBFXFEiOgQyY2IcS1fu4Yl7Gw4jpoyJplNIIFqNgi8xw5C42j4iy9JzSKonBDFbbAQFGFj6hyR6RgRjttrpGhZE19Agr7HDJoud/MJybhsZxfufHa437Kky2Viclsng2DDGJ0cy/3f9MVvt7oa163YcIyu3hMT4cG4eGsni1zM9+qa4VJt+7CHja0Pb1gF6Xn1sFHmFZfxndwH+eh2dOwY1r6mvpXavQgghhBBCCHElkjBFXFGMBi0jrutMdNc2rN58FFUD45MjmTu1PyaLjUA/HRarnUB/PVAbNvjSXyUlMZJ1O/NxOj3/DD8e6Tleep51O/K9pty4xg4/968vAYVqk5VN2cd5aHLfRqs97A4nGTnFZOQU42fQsnLxWGYs3cT5Kot7TUZOMQ9N7tvgNVzBTXN6yFistROKIsNbM29qf3dj3eYEMka9BClCCCGEEEKIK5eEKeKK42fQEhURzJw7+qLTqheqJBRAg15X++PiOhrUWH+Vun1HLu5BolGVevuegOfY4Zmpcbz62Ch3pcjxkvPUmG0+V3vUmG1UmaxoLppS5HA4sVjtBBi19VamKEptL5nbRkX73EPGFTS5Kkt0Wo3PoRPUBjK1AYwEKkIIIYQQQogrU4NhSnFxcUNPNSk8PPwnv1aIS8XVALVuKFCfiA6BzEqNZ1l6/eORA/x0mK21wcfFPUhcx3+amnKTlr6PrqFBrN9VQGZuCUnxYfzxjv7NqvYIMOqovmjssKoq+Bu1PH7PQD76PN/rONPto6Ox2uzYbA6fesh0Cgms9/6+hE6u60wZEy3NZ4UQQgghhBBXtAbDlJEjR6IoSkNPN0hRFA4cOPCzNiXE5VT3aNCqTUe8Aok7bogmwKhDVRWvHiQXH/lpyMVjh3fuLebGIZHNqvbIKyzzqj5JiAnFYrPTLTSIOXf0Ra/VYLbaMeg0nCmv4f1PD7Hr22KMek2jDW1dPWT8DA0XqzUVOjUVyAghhBBCCCHElaLBb06TJk36SWGKEL9FrqNBc6f2cx8NMuo1WG0O/I06j2Murh4ke4+c+cljh202B8eKyrltpG/HbyYO6876XQVej08e1ZPPvzzJ6i1Hefye6/jq0CluHdGLu57cSE2dKpaLG9p69JCx2dEoClpNbVjUUFVJU6GTL4GMEEIIIYQQQlwJGvzW87e//e1y7kOIX4WGjgb5G3XcPro2+Niwu4AJyT04erL8J40dbt/ayIO39b1wfbXJ4zczU+MIDwlkX94Zj8cfmBRHePsA0j/Po6zCzMc7a/dVVWPxCFJcXA1t9x45zZ/vG4RGVXhj1zEycko8GuZOGdOLiJBAjPWEIk2FTkIIIYQQQghxNVB/6Q0I8VsREuzP9AmxZOWWAHDbyJ7uIz8uRr2GtkHGeqfZ+Bu1BBp1PHJ7X44Vn2PhsgwWLcsguW8n/uvhZAbHhuFv1NI2yIi/Ucvg2DCWzk6ic8dWZO4r4U/3DESnVRkcG8ZzjwwjMT6MdzYcJCUpEkWBzH0lOBwOggIMHnuqy9UwN7/oHH96ZRc79xa7wyBXw9x5L2xn65cn6w1kfnwvOnRaDa389ei0GglShBBCCCGEEFcVqccXwgfVJitvrNvHDYO6smRmIhuzjnPDoC6YzFYG9wlFVRVSEiPpERFMVY2FAD89+YXlbMz8DoBxQ7rRs3MwZqudqM5tsDsgKT4cVVEoOl3JsaJyZt0SRyt/PSaLDaNeS0W1hZ3fFPHOJwex2h38Y85wVi1N4XylhR3fFPHuJwexO5wM7dvJXd2y5K09vPLYyAZ7sfjaMHdZeg7RXdsQFRHcQp+oEEIIIYQQQvx2KU5nU60zPeXk5LBr1y5OnTqFxWLxvqCisHTp0ku2wSuZ2WwmNzeX2NhYDAbDL70dcZFqk7X2KIvZjsGg4fDxMjbu/g4nTsYN6UZURBs0KtSY7Zw8XcG6HflkHzjlPjKT3Dec6eNjOVNew+otRzyeS4jpyMRhPegUEsi5KjMVVVbW7cyvd43TCc+s2ENcVAizbonj3qc/89hngFHLgmkJ+Bt0rNp8BINeJSUxksdf2eUVmCydncS6nfk+Nb0dHBvG3Kn9pOpECCGEEEIIcVVq7Du7z5UpTqeTxx9/nHXr1uF0OlEUhbo5jOvvEqaI3zqT2Ubh6UpWbT7caLjhb9Ty8qMjycgpJu2iCTcKMHZQN3bsLfKqAnEdp/ny4Cle+9Mo9h/7gbT0ffWu2bO/lOkTYlkwLYG/LM8iwNif1oF6NKpKtcmKyWKnymTjL8uzWPVMCrNvjSPQT4/ZaveavGPUa5rdMFenlZOAQgghhBBCCHExn8OUd999l7Vr1zJp0iTuvvtubr31Vu655x5uvPFGsrOzef311xk+fDjz5s1ryf0K0aJMZhtbvzzpNf734nDjz9MHERxooPB0pVeQAr4dpxkcG8aZshqvIKUup7P2GktnJ/H7lGuw2OwsXzCGyuofjxJt2F2AwwGHT5RxouQ8oxO68qeXdjL7tms9RiH7G3XNbphrstjdTXiFEEIIIYQQQtTyOUxJT08nMjLSY8pPq1at6Nu3L3379mXo0KHcfvvtJCYmcuutt7bIZoVoaYWnK72ClLqcTli5fj9v/fkGTBY7q7ccqXdtSmIk63bme1SFuEYsmyz2etc0xOmEtTuOMeuWOF76YG+Dx4VWrj/A51+fZFBsGJ06BLJo2W6PUchVJiutA2ob5voSqKiqgkEnQYoQQgghhBBCXMznMKWgoIBJkyZ5PGa3291/jomJYcSIEbz33nsSpojfpGqTlVWbDzcZbgzvF8H352roFNKq3iMzruM0Xx06zdBrw+ttTLsp+3izj9zMndqfb46c8Zq+s2d/KTNT4xid0Jnt3xSy/esi9xjnjJxiMnKKMeg1+Bu0PHb3dQ02p71YQkwoVpsdvQQqQgghhBBCCOGhWQ0RWrVq5f6zn58f586d83i+a9euHDt27NLsTIjLTKdVmww3NKrC3SnXsCGjoMEjM7UVKBaemjHEXX0yddEG7vvrJqYu2sC6nfncMKgrdocDv3pGKNfH4XBSZbLib/DOP51OSEvfh6IoDI4N492NB+kUEsj0CbEoFyYkmy12yirM/CejgAnJPdyPN0RRYOKw7g2OWBZCCCGEEEKIq5nPYUqHDh04derHL5qdO3dm//79HmuOHz+Ov7//pdudEJeRyWxv8vjL2EFdaOWvZ/e+EgL89PWGDWaLDX+jjmPF51i4LIOs3FKvapIFr2Ww85siFkxLQONDYKGqCgFGHdVmW73Pu44CpSR1w2pzYLc76dk5mKWzkxgcG+be5579pQT46ZiZGtdgoKIoMH1CLA6nE61GGtAKIYQQQgghxMV8/qYUHx/vEZ4MGzaMnJwcXnnlFY4ePcq//vUvtmzZwrXXXtsiGxWipRkNmkYrMYID9dxzUx9qzDaqTTbyC8tJiOnota5frw6cPFXp0XzWqNfQNsiI8UIlitMJy9Jz0GpUBseGNbm3hJhQ8grLMFvsDa7JPlBKVEQb/AxaDHoNGzIKWL+rgPHJkby/JIW3Ft3Au0/dSLXZyjXd2nkFLapaW9mydHYSkeFBfLbnBFabo8m9CSGEEEIIIcTVxueeKWPHjiU3N5eTJ0/SuXNn7r//fj755BNeeuklXn75ZZxOJ61bt2b+/PktuV8hWoTJbKPGbGuwn0iQv46XHx3Jjr2FDOvXGVVV2LC79sjMnv2lHn1WUhIj+ffWI6iKwpD4sHp7pmzYXUDmvhLSt+UzPjmSjJziBvfmOnKzfldBo+/BdRQoKT6cwtOVjB3cjYXLMjx6plSbbZgtdjQXgpPxyZE8etcAKmusGPVa8grLWL+rgD37S/jvR4bhb9T95M9UCCGEEEIIIa5UPocpo0ePZvTo0e6/BwcHs2bNGj744ANOnDhBp06dmDRpEh06dGiRjQrRUlzjkK12O7eNjPYKRzSqwrMPDqXk+ype/TCHTiGtSIjpSOa+ElISI5k+IdZdheJqPrv/2A8smZkIwLqd+fVO4ElJjOTZf2bz/+4cgNGgwWT2rjqpe+QmK7ek0ffhOgqUktSNb4+cIapLsHtvZovdo6rF7nCye18x10S2RVHgH//6mooaK2aLHUWBWanxdAoJvDQfsBBCCCGEEEJcYRSns6nZJaKlmM1mcnNziY2NxWAw/NLbuWrlnSxn3ovbeWZWEgF+Ovblf+9xRGfoteHcPzGWZR/lkJVb6p7Qs3BZBv4GLQumJaAqCmt3HCOvsIz/eiiZ0h+qOVZ8zuM6dblCksjwILqGBnHqbBWrt+SRfaC0TugSyuRRPdFqFBa8mkGVqf5+KS6DY8O4b3wMrQMNWG0O/AxaLDY7pT9Us2rTkQaurfLnZRlUVFvdj08ZE02nkED86ml2K4QQQgghhBBXi8a+s/scpjzxxBOMHj2aUaNGNbjm888/57PPPuPZZ5/9eTu+SkiY8surNll5/v2v2XvkDP98chz3P/MZj98z0B2OZB8oZemsRHpEBDPlzxtwOJxoVIUlMxPdYYl6YYpOSlI3oiLaoNeqHPzuLAuXZTQ6ZllRYOnsJHp1bUPJ95VoNBpCgv04V2WhlZ+OKpOVnXuL6NEp2KdrPffIMDq08aPoTBWR4a2pqrHQKkCPyWxDo1Ex6DSYrXaMeg1Wm+PC1CErOq2KyeL5uBBCCCGEEEJc7Rr7zu5zA9r09HQOHjzY6JpDhw6xZs2an7ZLIX4BrnHI/kYdVTUWNKrCyo8PsPXLk+7GrT27tKGi+scxyHaHk2dW7CEyPIils5MYGBNKZm4JC1/bzb1Pf0pFjYV1O/MbDT/gxwk856sszH9xJ39eloHN7mTBa7vILypn+ZpcVq4/AOAx5vhiigIzU+Pp2Nafk6cqWbM9zz2KecrCDbzy728pOlOJze6glb8enVbjDkz8jTp0Wo3X40IIIYQQQgghGnZJ6/gtFgsajeZSXlKIFmUy29GqCneM6YmfQcubf74Bk8WGUa+lotpCRk4RfaM7uMcguwKVKpONxWmZ7iauc6f2p8pkJcCoQ6tRyD5wqok71/Zi0WlrK0befnIclTUWtBqFJQ8kYrba+eJAqTu4WTAtgaWzk9zVMnWP60wZE03bICO7vi0mLT3HI8RxjWLes7+UmalxjLyuixzfEUIIIYQQQoifqVnfqpSGfjVObZDy5Zdf0r59+5+9KSEuF6NBwxsLx3CmvIYXV33j1Sh28qhoAoxaCkrOeU36sTucZOQUe0zLMeg1/O3Boe7QpSEBRi0Lpw0CqPe+E4f14C8zhvDMij0ewc1Dt1+LXtufypra4Kbk+0rat/bjxOkKryClLqcT0tL30atLW6I6B1+yz08IIYQQQgghrkaNhikX90f55z//yUcffeS1zuFwcPbsWSwWC3fcccel3aEQLchqc5CRU8zra/Y1UtERT7/okHrHILu4puX4GWqPzNStYrmYRlVYOG1QvQ1q6953+oRYFkxLYHFaJnaHk8zcEh6Z0o/7n9mERlWosdh49g9DUVWFdTt8O1a0avMR5k7tJ8d5hBBCCCGEEOJnaLRnitPpdP8oiuLx97o/Wq2W6OhoZsyYwWOPPXa59i7Ez1Z4utIrSKmrtqIjh8oaK0EB+iZ7l9w57hoqqi0kxHRs8J5D4sIAGpz047pv3ea2AAkxoeQVlnG+ykJ5pZnf33gNFqsNg17j07EigOwDpei0PrdKEkIIIYQQQghRj0YrU7Zu3er+c+/evbnnnnt46KGHWnxTQlwOldUWVm854lNFx+otR7lvQh9309n6epdMHNYdh9PJOxsONlrFkpIY2awGteOTI9m9r5iJw7rzn90FDI4Nc99Lo6pUmaxNHitycTicmCx2dFrpbSSEEEIIIYQQP5XPPVPefvttOnXq1JJ7EeKy0jezouPRuwZw9lwNh46XuZvOVptqK1YOHT/L+l0FZOWWADBqYBfunxDLGxdVnxj1GnpEBDfrvnOn9ufBW6+la1gQc+/oT97JctbtPIZGVUhJ7IZBp230WFFdqqpg1EuQIoQQQgghhBA/h8/1/gkJCR5hSmVlJSUlJVRWVrbIxoRoSSazDZPZ1qyKjsoaK1u/LKRn52CiItpQZbLib9RRUW3h453HyMgpxu5wuifwdO/Umn/MGc7g2DBUtfZsUKC/jhpz8ypJrDY7XcJa8aeXduJwOFm8PJOMnGLGDenGmh355BeWN3qsqK6EmFCsNodPa4UQQgghhBBC1K9Z03xsNhtvvfUWq1evprCw0P14REQEkydP5r777kOrlbGr4tev+PtKIjq0amZFh5bt3xTy2Z7j7uk91WYbA6/p6HWsp8pk49mV2aQ9MZrZt8Yz/3f9qbgwgUejUZp1X4NOw19ezyK+ZwhHTpZhttg9Kly0GrXRY0UuigJTxkRL81khhBBCCCGE+Jl8rkyxWCzcd999PP/88xQVFREWFkZ8fDxhYWEUFRXx/PPPM23aNCwWS0vuV4ifrdpk5f3PDjfZKLYuV/NXs8UO1E7vKaswY7bYydxXe7SnbnNajarw+D0JfP7VSe59+lPu+stG5r+wnWlPf0rR6cpm3ffIyTJqLDamjI5mQ8Z3APgbdVTVWHA4nPXe/2KKArNS4+kUEujTfYUQQgghhBBCNMznMGXlypVkZ2czfPhwNmzYwNatW1m1ahVbt25l48aNjBgxgi+//JKVK1e24HaF+Pl0WpXsA6fYtbeIyaOiGwwgXBQFpoyO5pPM7+p93n2sJzyI5x4ZxuDYMBLjwwFYvra2Z4rZYsditfPn+wah1SikDo/y6b6TR/Xkk93fMTM1jvCQALIPlAK1gVCAX+0IZtf9Xc1x6x4rUtXaaUBLZydx/YAISn+owmS2NefjEkIIIYQQQghxEZ/DlI8//piePXvy6quv0q1bN4/nunTpwssvv0xUVBQff/zxpd6jEJeUyWzH4XDy4dajhLcPYGZqXKMVHdMnxNK2tRGHveEzNFUmGxszj2PQaRifHMkfbo33mNijURUWThvEseJzzPnHNuwOZ5OVJDNT4+gUEsiEYd3p3LEV56rMDOjdofY9WOwevVKqTDYWp2WyflcB45MjeX9JCm8tuoH3l6QwPjmSwyfKyCssZ84/trH1y5PUSKAihBBCCCGEED+Zzw1OTpw4wV133YWq1p+/qKrKsGHDePfddy/Z5oRoCUaDBp1W5dG7B7L9myI6d2zV4LjjW0dG0aGNH+9uOMjNQ7uTmVvSYF+ScUO68e7Ggxz67iyvLxjjMbFnSFwYqgLp2/LQalSeWbGHBdMSGrxv6vU9sNkdZHxbTK+ubZj32nYSYkO5bVS0uzfKht0FHr1S7A4nGTnFZOQUe/R0sVjtLJ2dxPpdBTidsCw9h+iubYiKCL5Mn7gQQgghhBBCXFl8DlN0Oh3V1dWNrqmpqZEGtOJXz2pzcNe43gCkpeegKrVHYVzjjqtMtY1i8wrLWLs9n5uSIjFd6JUyfUIsb1407hggwKgluksbbhnRk26hQVhttdUvGlVhSFwY90+MJcCo47/2a8nvAAAgAElEQVQfTibAT09+YTkbM7/DidPrviXfV6LVKMz5x3YcTidLZycxMCaUzJwSJo+MZmZqHGnp+8jcV0JKYmS9ezJb7JgtdndljcPpdI9tdjph1aYjzJ3aT5rRCiGEEEIIIcRP4HPy0atXLz799FMefvhh2rZt6/X82bNn+fTTT+ndu/cl3aAQP0W1yYpOq2Iy2zEaNFhtDvyNOqpNVvQ6DdcP6MxrH35bW9HhrL+iw9Vs1mavDTyeWbGHP983iOceGcbqLUfJPlCKAoy4LoJ7UmJQFOjQxg8UUBWF0QO7MHJgZwCWfZRD9oFTdapPOjJxWA+cTnhmxR5sDqf7vlabg/eXpKDVqpgtdtbuOMb45Egycor587IMli8YQ9fQINbuOMaz/8zm8XsGNljhMnFY99pAZkU29jrTg7IPlKLT+nzKTwghhBBCCCFEHY2GKWvWrKF379707t2bO++8k3nz5nHbbbcxe/ZsBg8eTEhICGfOnCE7O5vXXnuNs2fPsnDhwsu1d3GVaCgYqY/JbKPwdCWrNh/2Ci8mj4pGq1FZunIPrz42yuMYjouroqOu7AOlzP9dfxRFwemEc5VmdzWJ3eGg9IcqXvn3tx73G9wnlFm3xLN7XzFp6fs8qkYcDidZuaXs2V/K9AmxLJiWwOK0TMosZveaKpMVf4MWs8VO9oFS5k7tT2g7f8orzFSbbXz+1UmPipYgfz2zbonj0bsHcL7Sgr9Rx3fF5ezZX8q2rwupMnn2SHE4nJgsdnRazc/4PyOEEEIIIYQQV6dGw5THH3+chx56iN69e5OSksKhQ4d4/fXXWbx4sddap9PJ/fffT0pKSottVlxdGgtGpozpRURIIEaD1mP91i9Psiw9p9HwYt7vBnCu0ozD0XBD2bocDidmq52Vi8dy4tR5Fi7LQFUU/jorkYLi8yxf6x2WqKpC4elKryClLqcT3lyX657Ak5FTDNRO4Akw6jBb7Qy9NpyUxEi0GoWlfxhKgFGHw+HAYnOwOC0TrVbF36DF4XQy8JpQRidEcPJUFQNjOhLVuQ0RHVtx57hrqKi2sGtvEW9vOIjF5kBVFYx6CVKEEEIIIYQQ4qdoVoOTefPmMXLkSP79739z4MABKisrCQwMJCYmhltvvZV+/fq11D7FVcaXYGRWajwjruuM34VApfB0pdf6uuqGF0EBBlT1/7N3p4FR1me/x7/37JOdnSwsIRAgJDGAhCUkiIDFIEFUpKjVIlWhrVoq2gOo1cdHbHt4tMvTCm6oXTxIK4pAtRKUJSxRUZMAAglBMyQhIGSdzH6fF8MMCTNJJggCcn3etCYzc/9nCOD981qUkAIVjUbBbNRRaqll7UelaBSFuTekoNdpA4IUn9xxia22+bRFVWnVxgOQmdKbw5W1PDp3NADrtpVRuDKwRei60f3IL/yaSaP6kpQQg9PlRq/TYNDrgrYVzZqUzItLp7DoD1tISuiC0+WRyhQhhBBCCCGEOAednhabkZFBRkbGhTiLEH6hBCMtt9JYbU5WbzoQcngx/6Y0MlN6saukusOzZKb0psHqYEBcNHsPf8NT940jrkc4K94Kfj6TQUtSQkzQNqJgfG08RoMWh9PNjJwBhJv0FJWeCBgs2zJMum9mGndOS2HlW0V8vP8YT94zlsOVde0+594b01j+YA4n6+3+VqnOtFEJIYQQQgghhACZQCkuOZ0JRlZ/cNAfBnQmvAg36Zk1KRlFaftxJoOWbtEmZk4YwK6SauxON4vvyuSr6nrMRn2b1wsz6WlqdnSqjci7yUfHvLxUIsMNNFqdQbcG+agqrFxbTOXxRhRFYfSw3gAdPueFt4s5UWujX+9IbHYXpRW1PPfGHm5ZvIHbHv83tyzewHNv7KHUUovN7gr+QkIIIYQQQghxheuwMqWhoYHKyspOvWhcXNw5H0iIzgYjvqqKzoQXjc1OEnpGBKwV9q0yzh2XSFJCDHanizCTHhWFiDBvtcY/Nx9i9LDeQa+n1ShcNag70RGdayOKNOt55EdX4/aoNFqdnW4RUlBCfs6/NpfywOwMtuyxdKqNSgghhBBCCCGEV4d3Sa+//jqvv/56yC+oKAr79u37VocSV7bOBiM2h7c9pTPhRbjZWz0yqE+Mf63w3sMnWHxXJnB6TsnZQ2/1gwk361FVlXCzIeB64SYdS0/PObHUNHSqjajZ7mJ9QTmffVnDK4/9oFNh0i/njECFkJ+j1SpUnmjqVBuVEEIIIYQQQogzOgxTIiIiiIyM/C7OIgRAp4MRk8E756Mz4YXV5iQq3IiqQlS4kfk3pWE26vjwUwsrO9gG9NDtIymz1La6nlajsHTuaP/Mkqz0OPKyk9i9t7rdahFFgZuuGUh9k537Zw2n2e7E5fZ0ukVIQQ35OdeP7c+bnWijWjhnuMxQEUIIIYQQQogWOgxT7rrrLn7+859/F2cRAqDTwYhvYOrsyYNDCi9mTRrER3ssvL5xv7/y5K7coaQmdee1DXvpEmnCanNic7hbPbflNqBmm5Nbrk32X29sWixwZmbJzuIqcsclBrQRnX2W+TPTUVF58NktGPRarhmRwE9mpHauysakRz39/zt6zrkMx9XrZLSSEEIIIYQQQrQkd0nikuMLRtobDgveMGL2lGR/1URCzwjmz0xv83mKAvfemIbN4eKvp4MUAAW4emgvdFqFVx+fyvIHsnnt11NZtiCL8VfFodWceUHfnJIBCTHodRrm5aWiKIGrkN0eladX7SYxLoplC7IYkxqL5vTraDQKY1JjWbYgi2tGJtA/NpoXl07h1cd/wPiMOCw1jWSm9Arps8pM6c0hyyl/pUxHwkx6mu3OTrdRCSGEEEIIIYQ4QyZLikuSLxhpa66Hr6ojvkeE/2smo45rRiaQlBDNPzeXUrivusXMk97MmjQIm8PFslWFuE+HCeEmHY/ePRq708Obmw4EzEmZkZNE7rhEnl61myabd7uNb5XxL5/bwkN3jOQ3P81iQHxgtUeTzcXjK3cyJjWW6dmJLJwz4vTWHj0ej4f8jysAeOKlXYQZdVjtLuwON+OvCr1FaEbOANZvL0dRCOk5zXYnkWGB817a4mujEkIIIYQQQghxhoQp4pJkMuqYeHUfkvt1YfUHBwOCkdlTkonvERGwaabyeBNvbykLCC+a7U4+2mPhrxv3+4MU/5yTo3W8dFYrztlzUpbMzeTxlTtxe1T/nBIVeHzlTq4b3ZeEXpFBwwm3R6WgqJKCokqMBq0/NHlh8WTSB3YnoVcEv543ho07ytlZXAXAZwdqmJ49oMMWoXl5qXhUlV0l3ueF0lZ0Z24KDVZHp9uo9DoJVIQQQgghhBDCR8IUcckyG3UMTIhh4Zzh3vXHDrd/2GywgahWm5PVmw6wq6Sa7V+cCS88HpUXlkzhzU0HiY4w+ueh+OacnB2ktNRyTsqY1FgKiir9c0qsdhd6nQatVoPJoOuw2sPucGN3uNFoFCLMeuoabRz46hThZj3Tswcw57rBNFidJMZFY7U56Nc7iqH9u7Im/1DQKpvIcANPvbTL/9k8vWo3S+Zm+rcTtVWZ89eN+0OufGnZRiWEEEIIIYQQwktR1Y52enw/7N69mzvvvDPg65GRkXzyySf+f66rq+N3v/sdmzZtwm63k5GRweLFixk8eHCr59ntdn7/+9/z7rvvUl9fz9ChQ1m0aBGjRo0K+Ux2u52SkhJSU1MxGo3n/uYEAE6Xm1sWb2gVaGg1ClMy+/Kj64ei02lpanYQbjZQZqkl3Kznjf98GVKFhq9VZ+nzOxiXFsdtUwdT3+ggKSEGp8uN2ajDUtPAmvxD7Cyu8le/tPVaD/4wg5/9djOnGu3My0slOyOempNW/vXhIX+rkV6n4fapQ5g4MoEIs4HGZicRZj2Wmkb0Og09u4Zhs7sw6rUcstSysaCcT/Yf44fXDeaaEQlEhhmob3L456T4KnMAnrpvnH/zUHttVBOv7hNQ/SOEEEIIIYQQV4L27tmvuLukRx99lLS0NP8/a7Vn2hdUVWX+/PkcPXqUxx57jKioKF544QXuvPNO3nnnHXr37u1/7JIlS9iyZQuPPPIIffr04e9//zvz5s1j9erVDB069Dt9T8LLZne3ClLCTTqWzh0NCvxpzeet5qFkpcfyix+O6NRWm4VzRtAtyrtGueqbJtZtKwtpxkpLigKzJyfj9qionKl8GdyvC+9sLWsV7DhdHl5dv4/XNuzj3hvTyMmIo+pEI03NzqDXvnXyYO6/NYPDlXW8+HYJnx2owWjQ+itzXm8xdLejKpa22qiEEEIIIYQQQlyBYUpSUhIZGRlBv5efn8+ePXt47bXXGDNmDADDhw9n0qRJvPTSSzz66KMAfPnll6xfv55ly5Zx8803AzBq1CimTZvGH/7wB1asWPHdvBnRismo9bfa+OehBKm+8HhU9h4+SV2jvVNbbZpsTn57fw47iitZubY45BkrPr45J726haHVaLDavWGLqsK/NpcyPTuR7V9UBlzbF7iMvyqe4rJveOHt9q+dGBfFrhJvdYzV7qJrlImmZker99recNxSyynie4RLkCKEEEIIIYQQbZDVyC1s3ryZnj17+oMU8LYBTZw4kfz8fP/X8vPz0ev15Obm+r+m0+mYNm0a27dvx+FwfKfnFl5Ol8e/Htg3D6WtNharzUm42eBfV9wRjUYhOtxAfZM9IEhpyRd86LQaxqbH+p/rW4WcGBeFXquh7Ogp7C1WDhfuq2ZgQheMbWzOGZMaS+XxxoAgJdi1NYr3eh29V99w3KXP7+DOJ9/jod9v4c4n3+OxlTvRaeWPBiGEEEIIIYRoyxV3x7Ro0SKGDh3K6NGjeeihh6isPFMJUFpaSnJycsBzBg4cSGVlJU1NTf7HxcfHYzabAx7ndDr56quvLuybEEGFmfTMnjwYRfFutlm3razN4MHmcFNmqfWHLx3JTOlNs93Fm5sOtju0FbyhxtqPyvjZzVfxymPX8cZTucyckMjHe6v58BMLVruLTYVft3qOr/IlrI1qkNxxiazdUhrStd/ZepjcrP7+r4XyXu0ON6ca7Ngdbv8GHyGEEEIIIYQQwV0xdfyRkZHcfffdjBo1ioiICPbt28fKlSspLCzk7bffplu3btTV1REfHx/w3JiYGADq6+sJDw+nrq6O6OjoNh9XV1d3Yd+MaFNCzwh+dvNVJCXEtDsPxWTQsvUzC3k5oW21mZEzAJNB16kZK1qNhs8PVDFiSE8G9ulKQq8oTEYddoebO64fymdf1qBoNFhtThwuj39DULCzdvR+zr72wjkjMBq0/uqXjTvLuXniINngI4QQQgghhBDnwRUTpqSkpJCSkuL/58zMTEaNGsWsWbN4/fXXWbhw4UU8nQiF1eb0rgG2uzEZg69INhl15IxIwOF0B8xD0WoUxqbFkjsukYEJMTTanISbdNw3M63N1h3fVhuNRqG+KfQZK92ijHhUlX6xUax4qyhgWOysScmsWDyZZrsTs9FA9TdNHK+1otMohEeZ/OubwVtxc/bMk/a0rHLxtj715uaJg4jrHs78memsWFvU7nuN7xER0nWEEEIIIYQQ4kp1xYQpwQwbNoz+/ftTUlICQFRUFPX19QGPq62t9X/f979Hjx5t83HBqlbEubPZXVhqGlm96UBAKDF7ymASekRgatEeYzbq0GoV/zBaOL3Z5+7RaDUKaz8q9b9OZJie/54/juUP5LAm/1DQrTY9Ysy8un4v99yY3uo122LQaVj+4AQ+/LSi3WGx996Yxrj0WO568j0ykntw6+RkXnnsOqw2J2Em7/rmjTvK+exAjX/mSSiBikajEB1h4M+PXIvJ0Dp0mnh1H5L7dWH1Bwdlg48QQgghhBBCnCO5a2ph4MCBFBQUBHy9rKyMuLg4wsPD/Y/btGkTzc3NreamlJWVodfr6dev33d25u87m93F5k8qAqopWoYS82emM/HqPq1CAIfDTWZKL3aVVKPVKDw2bwxHquoCKlAarE5++futjE2L5e7pKTx8x0ia7S70Oi2lllPEdQ+ntsHOtaP6+ueOtFxfHMyduUM5Udvc4bDYF94uJrlvF277wRBeeXdvq208T7yYz8ghPf2rlssr60K6Nnjnu7hcHiLDDADodWeG2pqNOgYmxLBwznBvlY/DHRC4CCGEEEIIIYRo3xU3gLal4uJiysvLSU9PB2DSpEkcO3aMwsJC/2MaGxv58MMPufbaa/1fu/baa3E6nbz33nv+r7lcLjZu3Mj48eMxGAzf3Zv4nrPUNLbZlgLeUGLF2iKOHm/0f81qc2Iy6rh1cjKKAlnpcei0mjZbedwele1fVHLfb/L5qroek0HHQ3/cwnNv7EGjKESFG+jXOwqny0NedhJKBwuAxmfEsyY/tEG1a/IPkTPcO6fHqNey9qNSdKcrRXaVVLPk+QIOV9YR1yPc/37aE+rMkzCTHr1OS2SYAb1OK0GKEEIIIYQQQnTCFVOZ8tBDD5GQkMCwYcOIjIxk//79rFy5kl69evGjH/0I8IYkw4cP5+GHH+aRRx4hKiqKF154AVVV+clPfuJ/rZSUFHJzc1m2bBkul4uEhATeeOMNLBYLy5cvv1hv8XvHanOyetOBdkMJk8EbBGzYXs49N6ZSebyJ1ZsO8OmXNTx5z1jm5aWSNrA7b7z/ZUjhxpubDvHArRn8YeE12BwudFoNTTYnlmMNJMZFoSgK98xI5cV3gq9cjok0EBlmCHlY7KdfHiM6/Gp+87PxJMZF09TsIDLMwD03pqIosLO4ipfXlZCS2I3eXWXmiRBCCCGEEEJcChRV7egW8/th5cqVrF+/nsrKSmw2G927dycnJ4f777+fnj17+h9XW1vLb3/7W/Lz87Hb7WRkZLB48WKGDBnS6vVsNhvPPfcc69evp76+niFDhrBo0SJGjx4d8pnsdjslJSWkpqZiNBrP23v9vnC63NyyeEO7g2STEmJoanYQbtbz0aeWVkFDuEnHo3dnkty3K7OWBL5OMBqNwhtP5TLvv//DrEmDuGZkHyLMemwOFwadFpdHxe32cPxUM6s3BZk7MnkQPbuGc/vj/+7wWuEmHUvnjsZk1PLmpoMB82Bm5CShqvD0qt2kDezBz25OR6/XUvVNk8w8EUIIIYQQQogLrL179ismTLkUSZjSvoYmB7edFUr4AgiAddvKKNx3jHGng5WlKwoCKjYSeoTz2/tzQgo3fFY9fh01J6243ar/Gi1DjluuHUifnpF8dayBxNho7E43ZqOOZrsLk0GHooFZQUKglrQahafuG8fhyjpeXhe8ykVRaDFDZRf/779zQQG3y4NHVdHrtNidMvNECCGEEEIIIS6E9u7Z5T9hi0uWyahttcFGq1FYOnd0QACROy6RddvK2piH4m0FCnUTjl6nIcyo41BFbatrGHQa7swdyviMeCLDDNgcLpISYrDZXZRZann2H3uoa3Kg0Si8+th1HQ6LHZsWC9BmkALetqOX15WwbEEWmSm9sdpcVJ5oZMlfClCBrPRYZk1KJrZbuAQpQgghhBBCCPEduqIH0IpLm9PlITOll/+fgwUQJoOWpISYoDNKTAYtoOJwulu9TjAmg5auUSbumpZCxbHGVtfoEWPixaVTGJrYjRVvFTFryQZuf/w9Zi3ewJ/e/JyIMAN/XDSRHjEmPB6VrZ9ZuOXa9ofFthcAtaSq8M7Ww+Rm9ceg16KqKmNSY/F4VLZ9XsmDz37E5k8qaLa72n8hIYQQQgghhBDnjVSmiPPGanN61+3a3ZiM3771JMykZ/bkwezeW42qBg8gwkx6mpodrapXzp6nYjJ4N/v4Xscn2GOjI4xYahrISo9jZ3EVWo3C8gcnsKOoMmDVccv1zPfemMbyB3O45+lNvL5xPy8uncK9N6YFXY/cXgAUTOG+ah6+YyTHTjaxbms508b3p6CoEjizzSi5XxcGJsSc0+cshBBCCCGEEKJzJEwR35rN7sJS08jqTQcC5ovMnjKYhB4RmM5xKGpCzwjmz0zn1Q17gwYQVpuTcLMBjUbBbNAGzFPxeFT0Og3LH8jhvplp/vXIwWavnD38NXdcIpXHGzlR2xw0FPFRVXjh7WKS+3bhxzek8M/NpSz9y3ae/mkWyX27sCb/UKthseOvisfpcofUdgTe0Kax2YnN4eaG7ESS4mMwGrTYHW7/9Vd/cJCFc4ZLu48QQgghhBBCfAckTBHfis3uYvMnFQHreltWbcyfmc7Eq/uc05YZk1HHxKv7MDSxK812Z0AAYXO4KbPUMmZYb24YPyDoQFeny8OSv2xnydxMfnd/Nms/LOOG7EQOHw18bMtzz8tLZdKoPvxp9echteOsyT/EA7MzGJMaS7jZQJmlFpvdxQOzMzDqtdgc3mGxDVZHp+a4aDQKJoOOJc8XcMfUofSPjSLSrEfBW5ljtTkp3FeNXidde0IIIYQQQgjxXZAwRXwrlprGgCClpfPRhmI26kiMi8bhdAcNIDbuKOf2qUOoa3S0OdC1yebi8ZU7GZsWywOzr6LyhDWk4a/DBnRDo21n+EkLhfuqMeq1zP9NPo3NTn+Fi16r4UhVHQk9o6hrtBNuNvi/396QWp/MlN6UWk5hs7v9Z3ry3rF0jwk7vRbaG9y43Cp6+R0thBBCCCGEEBec/Kdscc6sNierNx0IqWpj9QcHsdqc3+p6Lrcn6CDZncVVhJv1HQ50dXtUtn9RicPp4c1OnPv6sf1DOp/Ho2JzuOka5R1EW1x6AlWFI1X1rMk/xJzHNnL3f3/AnMc2smWPhVmT2h9SC971yDNyBrCx4EirMzldnlavt25bGUePN2KTQbRCCCGEEEIIccFJmCLOmV6n6dQQ1W/bhuIbSHt2AKHXaQgz6UM6S0yEgXBzaI8F77kHJnTBaNB2+FhvO46Wk/W2VmucH/nfbewqqfZX1Hg8Kq9v3I/d4ebeG9PaDFQUBeblpeJRVXaVVLU6U2z3CP/n6WtN+uXvt8hmHyGEEEIIIYT4DkiYIs6Zzd65Iaq20wNTvw3fQNqWAUSYSU+j1RHSWbpGmbE5XJ08t4uwEOa9ZKb0psHqoL7JEXSNc0tuj8rTq3bTt3ckyx/IYUxqLBqN901pNApjUmNZtiCLxLgolq0qxN3ivB6PSpPNGXAmX0vV0eONIb03IYQQQgghhBDnRiYsiHNmMnZ2iGrH1R0dX9M7kDa5XxdWf3CQwn3VrTb6dHSWk/XNmAy6Tp07wqyn2dF+tYeiwKxJg9hxemVxsDXOZ/PNcflR7lDm35TGwjkjcLrcGPVaDlacYv32cnaVVLUKUnxnCjfpsQapQJHNPkIIIYQQQghx4UllijhnTlfwGSbBZKb0xunynJfrmo06BibEsHDOcP75zDReeew6VFUN6Sy1jQ6aTg9/DUVmSm9sDhd35aa0245z741pxHUP59X1+zAZtEHXOAfjPt3yYzbquWfZB7y6fh+HLKdY+vwOCooqA4IU35lKLaf8q5HPJpt9hBBCCCGEEOLCkjsucc7CTHpunZyM2aila5SpzcoTRYHZU5LPe6VEmEmPXqclMsyAXqcJeaArEPJjZ00axN/f28+49Ng223GWP5DDNSMSeH3DfhwuD2EmPU3NobUdwZm2Ha1GYfOnFSTFtz2j5eyBtG293vloqRJCCCGEEEIIEZy0+YhvpXfXcP76xPXUN9n9K3o37ihnZ7G3PcU3RLV7tOmCncFmd/HhpxUk9IxkXl5qm3NKFAXmz0zHoNcS3yOCe29M44W3i9t8rK/aJL5nJPcu28TtU73tOA/fMRKbw43JoKXB6uBUvY3DlXX8p/ArgE61HUHrtp2W81DOrjzxfZagcuDrk5gM2qChyflqqRJCCCGEEEIIEZyEKeKc2OwuKmoaeHPTQQr3HcPjUdFoFDJTejEjJ4ncrETe3/UVU8f0w6OqvLRuLz+9Of28V6fYHS4qahp5/q0iwow6lszNZNmCLN7ZepjCfdUtztWbWZMGEWH2ttNEhxtY/uAEkvt2YU3+oaCP7R5j4lf/u437bkrniXvG8s7Ww7y6YR8RZj3dY0z0j41mWlYiNoer1ZBYm8NNmaWWzJRe7Cqp7vA9tGzb0WgUosMNpCZ1p6Co0n+mMcNi+VHuEMxGHWEmPb/7eXbQ8Mr3ek6XB71OAhUhhBBCCCGEuBAkTBGdZrO72PxJBSvWFrWq6vCt6N29t5r5M9O5e3oKL729lx3FlajAg7MzzusZLDWNaDTw5qYDqOqZga5jUmOZnp3IwjkjaLI5CTfpKbWcorjsBIP7dkGv0+L2qFhtTvYe/iZotYnJoOPOJ97D4fK0es2H7xhJY7MTk0FHmeUURr2WL786GTAMduOOcvKyk9i9t7rdIbS+tp3128sBbxBiqWlk6th+/HxWhv/8TpebYyetvLZhX/DwalwiT6/ajdXuuiAtVUIIIYQQQgghzpAwRXSapaYxIEhpybeit2/vSDyq2qpi43xUS/jCnFc37OXVx6e2GvTq9qgUFFVSUFSJ0aAlzKjDanf5qz7WLJvG8geyiTAb0GoVXt2wj1fe3UtUuIGuUSZO1ttwON289uupuE6fu+VrThyZwPVj+/P4izux2d2Em4JXw+zeW82sScncNzONlWvbbiWal5eKR1XZVVLlD1be3HTQf/5Is56H7hjJkcr6gJakluHVvLxUlszN5GhNI/E9Ir71ZyyEEEIIIYQQom0ygFZ0itXmZPXpSpD2qCq8s/UwuVn9gfM7x8MX5piN7Q96tTvcnGqw+2ePeDwqzXYX4WYDjc0OHE63f6tPfZODI1X11Dc5WrXpnG3rZ0dxuVXumDoURTlTDbN+eznTsxN546lcXnnsOt54KpeYCAMpid1YtiAr6ODaZQuySIyLYtmqQjyqyn0z0wgz6Snc520N0moUZk1KxqDTtjnbBbyf9cvrSjAZdFw7qi9mo2SkQgghhBBCCHEhyV2X6BS9ThPSyl/wruhdOGcERu0SAsYAACAASURBVIOW4ck9z8scj5ZhzrkMejXqtdz55Ps0211ce3UfZl4zMGgrTlttOm6PytOrdgdUoxQUVbKzpIqs9DjyshOp/qaRZ179mLSkHtw+dbC/lajZ7sKo13Kw4hTrt5dTuK+akUN6MXtyMrHdw1EUeHPZNO/jDFrsDjd/XP1ZSOHVmvxDLJwzHPQyK0UIIYQQQgghLiQJU0Sn2OzuTq/8DTfpztscj5ZhTmcGvZoMWsZfFc/ho7WMHNKT3HGJJCXE4PZ4mD8zPaBtaWdxFbnjEoNuB/JVo4xNi2XuDSk8fMdI6pscRJj1NNmcRJgN1FsdvLT0Okotp/jH+wfYVVKFUa9lfEY8d00byqA+XZg3I4IHZw+nvLKORqsDjSYCBThSWc/qTQcoKj3Bqsd+0KnwSq+TYjMhhBBCCCGEuNAkTBGdYjJqO73y97brhpy3OR5nhzntDXrVahTGpsX6gxOny43ZpGPBzZHsLz/JXU++h1ajsGRuJr/52XjWflTmn3miAu/v/oq7pw9jaP+uARt/RqX0Ji97ACfrbcREmlj0x600NjuxO9wBs1p8rHYXmz7+mvtmpnGo4hR/XvMF/eOiufnagSTGR6NAq8G+XaNM7bYxnc3jUc/bXBohhBBCCCGEEG2TMEV0itPl6dTKX7vDRc6IhPM2x8NoaB3mtFVBEm7SsXTuaADWbSsL2IAza1IyKxdPZtEftvi39eSd3tZjtbkw6LWUWk7x0tsl6PUKMyck8cs5I2i0OYkKM2B3ujAZdNgcblRVZVCfGP9nYne4W4UoZ38mlppGKo418NzCCThdHowGLTa7N4Tp0yuSrPQ4dhZXnVMb0/maSyOEEEIIIYQQom3aJ5544omLfYgrldvtpqamhp49e6LTXR65ll6nJa57BP/Z/VW7j1MUeOi2kcT3jDivrSf1TQ4qTzRiqWkEvLNCdpVUkZczgMmj+tLU7OLYSSuPzxvD4co6lv/9Uyw1jf6QRVW9A2w/KPyKnl3CmDcjlfXbyzlSVU/+JxXkF37F9eP6U3PSyv7yU4xO682UzP7odRqMBi0eVUWr1WDQaWm2uzAbdTQ0OegXG0X+x193+Jncf2sGZqOWxLgYqk408cq7e3nu/33GPzcf4p+bD9HY7GB69gAmjuzD9i+OkprUncZmh//9tmf0sFgyh/WWyhQhhBBCCCGEOA/au2eXMOUiuhzDFIAwk45u0WY+/TL4LA9Fgfkz00kf1OO8BilWm5P8jyuYMKIPHxSeCXOcLg9b9liw2lzcMD6R+Tel02Rz8pvXP253cOueAzWMvyqe2O7hfHbwOADNdjenGhxMGB6PyaRj7Uel/PHNz3l7Sxn/+rCUyuON9O4WzvHaZh750zb+8Z8DHD9lZeLIPvTqGsanX9a0+ZnMy0slOsKAw+mhuOwEz7z2cdCgZ/MnFSTFR5OXPYD3dn7FtKwBbP60ot3PRlHgodtH0qtreOc+VCGEEEIIIYQQQbV3zy7TKkWnmYw6Jl7dh2d/MSHoyt9nfzGBiVf3Oe8revU6DWWWOnp0MTMvLxVFOfM9t0eloKiSpc/voMHq4M1NB0PegJMzPN7/Na1GYcrovmz97CgP/3Eru0qq/S02Ho/KrpJq/s+ft3P4aB1L5maiADuKq/jp7/IZMbgX//NgTrtrkDd/XIGq0uGq4xffKcFo0GHQe3+Lnv1+W/KFV+drLo0QQgghhBBCiPYpqtrRLae4UOx2OyUlJaSmpmI0Gi/2cc6J1eZEr9Ngc7gxGbQ4XZ7zsrUnmIYmB0eq6nl/9xGuG90PjaL4VxP75qFcMyKBn826ilmLN4Q8Z2TNsmnMfeo/1Dc5GH9VHLnjElm6oqDdMEZRYNmCLNZvL6egqBIAnVbhzw9fiwp0iTSd3mSkp9Ryio0FR9hVUsVT941j3baykGbOjEmN9a5U/uNWFt1xNR6PGvB+M1N6c+vkQcR1jyDcfGE+dyGEEEIIIYS4ErV3z3759JaIS5IvOPHN6biQ8zpMRi1JCTFsW1nJ9s8rGZMay/TsRBbOGeEPLiw19djsrk5vwOkaZaK+yUHuuETWbSsLqarlna2HmZ6dSEFRJSaDljCTnr+99yVTx/bjwWc/CtjoYzJ4z9+ZVccP3zGS5381mfomO1HhRubflMai20f4t/aUWk5R3+QgoWcbZStCCCGEEEIIIc47CVPEZcPl8mBzuDCcroQpKKqkoKgSo0FLl0hvSqiqKn95ZFKnN+CcrLedU9ix6PYRPPPTLAbEx9DU7CDcbMDj8TA2LZZtnx3F3eIMYSZ9p1cdNzY7qf6miV/973b/JqJbJydj1Gt5bMUOTjbYURR49hcTGJgQE9LrXg78FU92Nybjha14EkIIIYQQQojOkjBFXBZ8N9c6t5bXfj2VMkst7+08AsDUsf1JSjgTZtgcrk6tb26wOqhvctA1yhRS2BETYaBrlJmT9c3YHW4iwwz85On/0GB1nm41imdG9gByx/TjyZd302RzodUoXDWoO9ERxk4GPTr6x0ZjNGixO9zsKqlm995q5uWl8tAdI3l85U7cHpXVHxxk4Zzhl33gYLO7sNQ0snrTgYB11rOnDCahRwSm8zyLRwghhBBCCCE6S+5KxCWtrZvr7Iw4fjIjleO1zazJP9jqe0vuGsWsScns3lvd4dyTWZMGsfWzo8REGOjV1UxUePCww6DTcGfuUMZnxBMZ5g1sTAYddqcbt8fD4rtGUV5ZT9ZVca2+/8KSyewsqqJvbBQutwdLTUOngp5Syyliu0cQZtT524VUFV5eV8KyBVmMSY2loKiSwn3V53Vz0sVgs7vY/EkFK9YWtfp18w3+3b23mvkz0y/IcGMhhBBCCCGE6Ay5IxGXrLZurhXgB6P7s/Xzo7y8riTgxvt3f/2EF5dO4d4b09rcmqMoMP+mNPr2iqR7jIlpWYnYHG4UDbz62HVs/czC6xv343B56BFjYvmDEzhR28yKt4oCKiZmTUpmQHwMZqM+4PtjhvVmwS1XseOLSlasLSIrPY687KSQgp4ZOQPYsKOc+2cNx2p3tfr+2TNbfLNfLuTMmgvNUtMY8GvdkqrCirVFJPfr8r1qaRJCCCGEEEJcfi7v/5QtvtfaurkemxYLEBCk+DhcHn71p61kZ8TzPw8Grm8elxbHi4unkJORgEajoKrgcqt8VVXP79/4jBVvFTE0sRsvLp1CXPcwlj84gR1FlSxqY1Xyoj9u5cNPK7DanXx8OkjxfV+jUaiobvC/j53FVUDHq47n5aXiUVU8bii1nPJXpbRUuK+agQldMBq0/tkvlyurzcnqTQdCGvy7+oODWG3O7+ZgQgghhBBCCBGEVKaIS1J7N9cdbdwJN+l4YPYIvq5u4GDFqVYbfyLNelxuD1XfNPHSuuKAKpMZOUmoKvz6hR3cPnUo//eBHKpOWNuscAHvDf4Lbxe3artp66xuj8rTq3azZG4myxZkBV11PCNnAB5V5ZlXC1k6dzTrt5cHva7Ho9JkcxJm1DE4uStOl+eyrUzR6zSdGvx7ubc0CSGEEEIIIS5vEqaIS1JbN9cdbdzRahSWzh3N4cq6VpUrRoOWSLOeh24fyZGq+oBwpOVcjnl5qSz+cSa/fmEnyX27cKrB1ulVye2dtcnm4vGVO4OudvZ4PKxcW8z2L47y4xuG4VFVdpVUBb2mRqMQbtLT7HAxe0ryZT181mZ3d3qd9eUaHAkhhBBCCCEufxKmiEtSWzfX3aNNOF1t33i31QJkd7gZNbSXv4qkvSoT33DX0cNiWZN/iPk3pYV05sJ91SycM8K/eae9Vchuj9pqtXOYUYfV7uL5X01Cp9Xw1H3j8Kgqy1YVtlqv3JJvQO3cacOI7xER0hkvVSajttPrrIUQQgghhBDiYpFaeXFJ8t1ct6TVKPx8VgYmgy7gez7ttQB11B7k46syyc3qT+G+aiLDDESFGzo8c8u2G/C2KoWbDW2e1cfucHOqwY7T5SE6wsAd1w9hQ0E5j6/cSZPNFfQ5igIzr0miR5ew78V2G6fLQ2ZKr5Aem5nSG6fLc4FPJIQQQgghhBBtkzBFXJKC3VyPTYvFo8LBr08FvfFurwWoo/ags/mGu+p1GmwON12jTB0+x9d249u8Y3O4KbPUdiokOGypo/J4E0P6d8XTRuqjKDB/Zjr9ekcR2y38sg9SAMJMemZPHtzmUF4fReGyb2kSQgghhBBCXP4kTBGXpDCTnlvPurn2VZZs3FFOXnZSwI13e2017X0vGF+VSYRZj8mg5WS9rcPn+NpuWm7eaeusZ/OtQn57SxlPr9pNUnw0yx/ICdhENCY1lt/8bDzj0mM7fM3LTULPCObPTG93y9H8memXfUuTEEIIIYQQ4vInYYq4ZMX3COe+mWkoSuvKkrbWC7fXVhNqy42Pr8okJbEbNoeLBquj3cf7wpCNBUdafT3UVcjzZ6b7h83aHG5UFeoa7UzPTuSNp3J55bHreOOpXKZnJ7Ju62HmPvUfNn9S8b1aEWwy6ph4dR+e/UXgOusxqbE8+4sJ34uWJiGEEEIIIcTlT+5KxCXJZndRfcLK0P5dWbYgi/yPK1pVlgRbL2xzuCk76m2r2VVS3fr1WrTcnP29YHxVJjdOSMLucDMvLzVgqK2PosC9N6YF3bzj9qgse3U3z/7iGob278qa/EMBq5BvnTyI+B4R/OTpD3B7VMZfFQfAU6/sRlVpNaC2ZdXLC28Xk9y3C8l9u3T2471kmY06BibEsHDOcH+LlcmgxenySGuPEEIIIYQQ4pIhYYq45NjsLjZ/UsGKtUVoFG9Vwg3j+xMdYfRvfGlrvXBUmIFbrk1m997qgOBj445ybsxJ4lBFLU3NTmwtgomWfFUmdoebhJ4mfvE/H7HoR1e3Cm5ahiE3XZNEr25hVH9jZVRK74Dvz8gZwPFaK/kff+0/q8PpJsykw+50U360jjJLHcMGdGNXSXXAoFy7w90qRPFRVViTf4gHZ2cQEdbxgNzLiS848a0/ljXIQgghhBBCiEuJoqod7TYRF4rdbqekpITU1FSMRuPFPs4lo7Sill/+YUurMESrUXj50Sm8vK6EvYdPYrW1DkN81Rt2p5tH547mSFUdL77jrSTRahTGpsWSm5XI4L5daLI5Mep1lFlq2bijnJ3FVf71w4oC98xIJTsjHo+qsugPWzlea0N7utVk1qRB9OkVid3hxqDXcuDrk2wsOMLH+6oZldKb3Kz+DEzo4g92rDYnL60roeCLSlS8FS+zpyTjcXt45rWPWbl4MsdPWXF7VBqtTp54aSevPj6VOY9tDHlN8JpnpmGQsEEIIYQQQgghzqv27tklTLmIJEwJZLU5ee6NPa1acbQahbk3pDBhRAJhJj11jXbCzYagYQhAhFnH87+aRNWJJjbsOMIPxvQDFdZtK6Nw37EWVSO9mJGThKrCM68VMmxAd2ZPSaZX1zC27LGw6t29OM5awavRKKx5ehqHK2t57IWd2OyBFSO+YKfZ4eLp+Vn0j42i2e7CbNRRaqklKT6Ge5/5gOS+XfnhlGTsDhcRYQYiwwzsOVBD+sDu3P3fH4T8mf3jv64nMoTVzUIIIYQQQgghQtfePbu0+YhLil6nabW+ONykY+nc0RgNWv78zy+ChiG54xJ5etVu3B6VcLOeH04ZjE6n4cBXJ7l7+jB2FVexYm1Rq0oXj0dlV0k1u/dWM39mOi8tnULFsQY2FJTz4ScVrcKZljweFZvTxb8+LA0apEDrtpw1+YfIyxnA8r99wpzrBpMzPAGbw8Xzv5qM2+OhoclBbPcI7E4X4SY9wwf3ICrMiF6nwXlWkBOMRqNgNEpVihBCCCGEEEJ8lyRMEZcUm93tb2/RahSWzh3N4cq6gOGvvjDkk/3HePTu0fz5kWsJN+mxO92YjTocLg/jM+I5WtMYEKS0pKqwYm0RfXtHsn57OZ9+eYzoCGNAG5FPmEmHyaBrFfi0p3Bf9el5Li7+8q8iEnpG8sHur5k8ui9aRWHtltKAgGj25MEsfyCHJX/ZTpPN1e7rZ6b0xuFwS5uPEEIIIYQQQnyHJEwR553V5vRuYrG7MRk7t4nFZNT6h8xmpceh1SpBt+hoNQrXjEjgzmkpfFNnY8VbRQGhxIKbr2o1yLUtqgrvbD3M/JvSeMA4nKZmR5ttROPS4mi2u4LOMzEZtISZ9K2CGO+wXKd3novDzbvbyrnvpjS2fX60zYBo995q7puZxpK5mTy+cmebVTKKArMmDfreDZ8VQgghhBBCiEudhCnivLHZXVhqGlm96UBgtcWUwST0iMBkbP9HzunykJnSi+LSE9ydN4wVbwVWlfhaf+J7RlDwxVH/oFkfj0fl84PHO11B8tBtI7jzyfdptruCthFZ7S6uG9MXs1HnD3z8w23HJZKUEBMQxOzeW024SY/V7q0w0WoVvqlrbnPNMnjDnZVri/nd/dmMTYtl+xeVAY/xrWNO6BkR0vsTQgghhBBCCHH+SJgizouW64zbm00y8eo+mNsJVMJMemZPHszMCUlEmA0BYYiv9cfmcHG0pjEgSGn5Ok3NjpA24vjO2dDsxGTQ+itPfOeel5fKkrmZHKmqx+nycODrU/7AZ+nc0UDbw21nTUrmcGWtf4bK9WP78+amgyFVy/xrcykLbk7H5VYD1i3PmjSIhJ4RIVf8CCGEEEIIIYQ4fyRMEeeFJcTZJMn9ujAwIabd1+rbO5KKmgbqm+wBYcjYtFgATAZduy08VpuTcLPBX0HSEY1GaVVB0vLcL68rYfkDOUwc2YeVa4vxeFTyspPIy05qd56Lr10nJbEbWo2CXqchKSGmU9Uyj/xoJA/OzsBg0GK3uzEatTgcbmntEUIIIYQQQoiLSHOxDyAuf1abk9WbDoRUbbH6g4NYbc52H+dwuvnX5kP+MMTHZNAyPXsA/95Z3mEoYXO4KbPUkpnSK6T3kJnSm1LLKX8FydnnXpN/iPomB3NvSOEXPxzOoL4x6HWakNp1nC4PE0bEE2bS02x3dqpaxnY6ODHotESGe/9XghQhhBBCCCGEuLgkTBHf2tnrjNtTuK8ava79HzuDXktBURVlllrGDOvN+KviWLYgi9d+PZWBCTHsP3IypBaejTvKyctOQlHafRiKAjNyBrCx4Ij/ayaDlq5RJkwGrf/cPWLMGPRaXG4PdQ12/vXhoZACpDX5h7gzNwWTQUNkWOuAqD0ajeK/vhBCCCGEEEKIS4e0+YhvreU64474qi30bazybWp2YHO4Meg07Cqp4r6b0jla08i6bWWUWmr53c+zabSG1sKzs7iK3HGJzMtLbbOCRFFgXl4qHlXl433VjL8qrs1hsnVNDiqPN9CnVxRdokydCpAevmMkf3r4WuwON5kpvdhVUt3h8zJTeuN0edr8rIQQQgghhBBCXBwSpohvreU64450VG3h3faj8Nqvp+L2eNj22VH/LJaYCAMRYQYcLo+/hae9UMLtUXl61W6W/XQ8yx/IYU3+oYBBrjNyBuBRVX7/xh6euGcs0PYw2XCTjsgwA3/duI/bfjCkUwFSY7OTX/5+C0P7dyUvO4nde6vbrWpRFJg9OVkGzAohhBBCCCHEJUjCFPGtfdtqC6vNiV6nweH0cPR4I2vyD6LXabl+bH9efKeYrPQz1SJOp/davhaejkIJq92F1eakoqaB+2+9CpNhJM12F0a9FqvNyYd7LPzjvS954p6xHQ6TnT8znb6xkewsruLeG9M7GSDpaGx2dqpaJq5HeIevLYQQQgghhBDiuyczU8S3YrO7OPh1bavZJGfPG/FRFJg95Uy1hc3uorSilj+t/pwGq5MPP61g0R+3squkmuvH9uf93Uf4r3vHkTsukXXbypjz2Eaef6uIvOwkdpVUAd7Qoa2ZKIoC98zwtvD8beN+dFoNxaUnqDzeiEcFnVZD+sDuZKb2BuhwmOyKtUUYdFpGDOlJeVXdOQ239VXLJMZFsWxBFmNSY/0zVDQahTGpsSxbkEViXBTuECtfhBBCCCGEEEJ8t6QyRXwrlppGnnplF/917zgeu3s0JoMu6LyRXSVV3DMjjfgeEYA3SNn8SQUr1hYxb/owjp9q5oW3i1FVbxiTlBDDD5T+HD7aulrEV9nx4xuGsezV3Sz+cSbLFmTxztbDAS08syYNwu5w8fSqQsakxuJwejDotbz1USmF+46hAE/NH8ed16fwyrttByk+vmGyc64bzNtbSrl1cnJI7Tozcgawfnu5/2tNNhePr9zJmNRYpmcn8tBtI3C4POi0Gkotp1i/vZzCfdWsfjr32/3iCCGEEEIIIYS4ICRMEefMtxLZqPfOTImKMPLP/IMB80ZmXjOQe29Mw6DXYjZ6f+QsNY3+WSjjM+L527/3Y9RrsTnchJn0uFxuUAOrRXyVHUvmZrJ07mje3VaORgvTsxNZOGcENoeLCLMem8PFK+tK+GjPUQDunJbCts8tvPhO69d77h+fsuL/TO70MNnde6v58Q3DuGdGasBr+rQcbuurpGn5PgqKKikoqsRs1PG3J6cy/zf5HK9tBmBMaqwMnxVCCCGEEEKIS5SEKeKc6XUaPv2yhifvGUuppdYffJgMWsJMeqw2J58fPM6hilpunTSIa0b2AbwhzJr8g2SlxzE9ewCR4QZumzqUe29Mp9RSyweFX6HRKKzbVhbwejaHu1Vlx7Tx/Unu0wWny4NOq1D9TRPv7zrC5FH9SIyPYfOnFq4ZkcA3dc1BQ4+RQ3rRbHd1apis3eEmMtzA6xv2cee0FBLjooNWxviG2y5bVdhuy06z3YXN4SbcrOd4bTOKArfK8Flxmm+mkM3uxmTU4nR55GdDCCGEEEKIi0zCFHHObHY3o4d55428un5vq0GxzXYnkWEGHE7v2mSdTovd4UKv06DXaZiePQCNRmHt6ZablpUsN10zEI1GIcJsYNmCrKBtQzuLqwIqO1xuD+WV9Xz4qYX95SdZdMdIfvuzLMwmA39/b78/SGkZzkwcmeCvrAl1mKzRqMWg0/DRHguTRvXF5nAxI2cAv7xtBE3NTsJNetweD3/+1xfsLKrqcPaJb8PRyXqbv5pFq4HSiloSekac3nAkrjQ2uwtLTSOrNx0I+D0ye8pgEnrIz4YQQgghhBAXi/ybuDhnJqOW3KxE3t/lHRQLba8VVoH3dx3hxpyBxHYP56vqelauLW53c86duUNZ8VYRu/ZWB7xe7rhEnl61myab63Rlh4uqE02MHtaL7IypmAw6bA4XJoMOp8uD0aAlJyOeqWP7twpndFqFA1+f6tQ2IrvdjcPlASD/46/5Ue5QIsMMNFgdhJn0lB2tJdysx+XyhDRENjOlNw1WBymJ3fzVLEv+UoDV7mL+zHQmXt3H3x4lrgwtZwq193tEfjaEEEIIIYS4OOTfwsU5c7o8DEqIgTGBg2Kh9Y3fvTemkTsukY07DjN1bGJAkNKSUa/lzfyDDOobg1Z7pmKk5evNy0tlydxMHl+5ExXQabXEdY+g6psm1gSZ2zJrUjLdY8y88m4J21ZW4vGodI8xsfyBHDYWhLZm2dd+YzJqyRjYgwkjE0CFFW8VBVxvXl5qyANqZ00aRHSEgfk3pbHts6P89d/7/WHNirVFJPfrwsCEmE7+6ojLWcuZQsH4tkvJz4YQQgghhBAXh/aJJ5544mIf4krldrupqamhZ8+e6HSXX66l12lxuNycqrez/O+fBtz4aTUKWelxzJ+ZzsghvQg36xmbFkdjs4MGq5Ojxxv9z/E/9qZ07s5L5ZoRCfSICSN9YA+O1zZz9HgjRr2WqHAjqqry8f5jTB7VF6vNRd+eUYxK6cmWzyw889rHWGrOvK6qem9MPyj8im7RZq4e2ouPPrWgqt5wZtakwfzpzc+ZOLIPiXHRfHawJuh79bXfZCT34GSdjRFDelJy+AS/+9snQa/37x3l3DRxEHE9Ivj0y+DDbRUF7r0xjcH9uvDj//oPlppGxqXHcc2IPuwqqcJ5OlCpa3Rw9dCeMoz2CmG1OXlpXQmWmsYOHys/G0IIIYQQQlw47d2zK6ra0UJYcaHY7XZKSkpITU3FaDRe7OOck6ZmJ7//f3sCWmTCTTqWzh0NtNP6o8LTq3YDtPvYm64ZSK9u4ZgMulazUw5V1DKwTzR9e0ZSU9vMoj9u7bAKZNmCLNZvL6egqBKAZT/NYt3WMopLT7BkbiYaRWlzmGyYSU+XSCNbPzvKgPholq4oaPd6EWYdz/9qEsdrm3lz06Ggq5u7x5hY9IetHK+1+c84Ly+VxLgoHl+5E/fpx//zmWlyw3yFcLrc3LJ4Q8gzfORnQwghhBBCiAujvXv2y68cQlxS9DpNwFphrUZh6dzRHK5sv/VnXl4qS+dmAkqHj71nRir9YqP8bT2ZKb2YOSGJxLhoXG6VNfkH2w02wFs18s7Ww0zPTvSHKYcttdxyrbcdx7chyLdmucnmHSZbajnFhoJyZl4zkAiznkF9Y1j7USlGfestQ2drbHbx/L+KuXt6CvNvSuPhO0Zid7gxGrU0NDnY+tlR/taipcd3xpfXlbBsQRZjUmMpKPK2JNkcbrlhvkLY7O5ObZeSnw0hhBBCCCG+exKmiG/F7gi88RubFgsQEI605AsNfvuz8YSZ9B0+9sV3vAHDuPRYVBVyxyXSPy4Gu9NFmFlPXk4SOq2GncXtb88p3FfNwjkjiI4woNVoGJgQg16nYV5eKi+vK/FvCDIatIQZdVjtLhxON/PyUtFpNdgcbpL7dCEvJ4mFc0YG3TLU8vq79lbx0O0jcLlVGqwOPjtQw+sb9nOq0d7mGc8OfXzbfsSVwWTs3HYp+dkQQgghhBDiuydhivhWgt345Y5LZN22spAqRd76qIwfTkkOuapk/k1pVB5varN1qOWWn5YrkG0ON1qNwti0WFxuNy8umUKj1UF0hJFDFbVkJPfgNz/N4oPCCnYUV2K1uXC6PP4WH4+q8uiKAl59/Accqa5j3dYygRJvpwAAIABJREFUikpP+LcGpQ/sHnB98FYO1Dc5eOKFnfzugRz+tOaLkG6SfaGP0aBleHJPnC6PVB9cIbw/d6Fvl5KfDSGEEEIIcSmz2pzodRpsdjcmoxany0OYSX+xj/WtSZgivpWzb/xMBi0DE2ICWn/a0jI0sAdplTn7sYtuH8mf1mznVL291Zafzw8e51BFLbMmDeK392dT3+QgKf7MCuSKY/WEmXTUNjj405ufBwQxt05Opn9cNHOnR7HglnTsDjdmg46vjzXwztZSikpP4HR5sNpcvL/zK/KyAytTNuwoZ2j/rv4tQ755J2EmPXaXh6ZmR6faN7xtRjpmT0n+XvxhI9p29l8wP735KnQ6DTuL2q60UhTkZ0MIIYQQQlyybHYXlppGVm86EHD/NXvKYBJ6RGAyXr6RxOV7cnFJ0GoUZl4zkE/2H2NMaix52Uk43Z5OhQZWm5Mwo67NMMVXUZI7LvH0ENnxhJv1HD5aR2nFKQbEx5CU4A1OoiOMNDY72fPlMd7fdYQfjO5PUoKB7jFmIsMMhJn0hJv0KOCvXPn84HH/DJfEuCieeHEXo4b24ke5Q+keY+Znt2RQ12gnIsyA2+1hevYA/v7el+zaWx10qK5Wq5CdEc9HeyxkpvSm1HKK2gYb4WZDp9o3wk16brtuCPE9IjrzSyIuI+39BXPLtYPIHdu60slHUWD+zHT52RBCCCGEEJckm93F5k8qWLG2qM25mPNnpjPx6j6YL9NARbb5XESX+zYfm92FRqPQ1OzE7nRz/FQz/95Zzs9nDWfOYxtDDg3WLJvGwa+9Q17PnjnS0VagWZOS0Wk1PLqigAarE41GITsjjnnTUzle28ya/INBq1C6RZsDtgNt3FnOtHGJfLD7ayZn9m3zmi03EbW8yfWtOk5L6k63aBPllfV0jTbxj/e+ZOvnR1m2IIt128pCat8YkxrLT29Ox2TUXbZ/uIj2tfUXjI+iwH0z0xjavxuL/rgVp8vj3wQ1e0oy8T0i5GdDCCGEEEJckkoravnlH7Z0uG312V9MYGBCzHd3sE5q755dwpSL6HIOU2x2FwVFlYxNi8XucLOjuJKVa4tRVTodGkzPTuTdbYcDQgqtRuGp+8YF3fTjc/YqYSCk5wTbDjQjJ4lws56YCCNbPz/aqWv6KmeSEmJwutyYjTqOHm/EbNBhMup4aV0JHo/K9WP7d7hSWVHg2QcnMLDPpfuHivj2Qv4L5sEJ9I+LpNnuxmT4/vSYCiGEEEKI7yerzclzb+wJ+X5w4Zzhl+y/37Z3z665SGcSlzlLTSN//fc+dDoNx2ub/UEKwMYd5eRlJ6Eo7b+GosCMnAFsLDjCrpJqljxfwOHKOpbMzfS39kBoW4E0isKY1Ng2n2MyaOkaZcJk0Pq3A/me4ys1W/J8ASVlJ1AUeHX93pCuOWFEPE/dN84/dHfOYxu549fvMWvJBv7x/pecqGvG5nBx38w07r81g/5xUcyfmd7mZ+Nv3+gp7RvfZ1abk9WbDoQ0eHn1poM4nB4iwwzoddpL9i8aIYQQQgghAPQ6TadmaOp1l2csITXiotOsNidvby1l8V2jabI6WZN/sNVN4c7iKnLHJfrXDbdX3eFRVXaVVAFnQoplC7IYkxrb4Vagltt6fKuEFRT/c1rOWvHNVGm5xvjdbeVMG9+fgqJK//VffKeEpIQYRg+L9X89mJbbhbZ/URnwPlv2As7LSyVneDwn65v5v3/9lIduH8nyB3JYk3+Iwn0t565I+8aV4kr5C0YIIYQQQlx5bHZ3p2Zo2hzuy3I7pdyxiU7T6zT8YEx/SitO0adXZMBNoduj8vSq3SyZm8myBVm8s/VwQGjgWze8bFVhqxkpvpBiRk4iA+IDtwK1GZAcrWVwny64PCqF+451OGtlRk4SKpAUH9Nqk5CqwtqPypiendhumALem9yH7xjJ3977/+3deViUVcM/8O+srCKouCCoKA7KKiC4W6BoKYq45FO5lFlquTxqi1lavyxNe/J9XVNL7THT9MklNcPXrcQFUHtMTXPLBURBQkCW2c/vD5o7RwZkVATi+7kurpoz577nzD2HGefLWc7edxRLax93NGtUB/P/+QR+u5qDS+l56N+9JaY+Fw6doWRakNHE6Ru1RW35gCEiIiKi2sfRQWHXxhuO6pr571yGKWQ3o1EAAvjPvguICmxs85ekUGvEzOVHpDVRJj8bjkKtAXVd1LiQlovtSb8j+bTtbV8tIYVWb/2F834ByTM9/dGkvjNcHZWYNjLK5rop944Y8fVyQ0yEN/4v5ZrUlopu12w2CxQUG+CkVkKrK7ueJaCZNLQdtHoj/Lw90KSBK1wcVbiQfhtmM9Dax51BSi1SWz5giIiIiKj2MRjNiApoVKE1U6ICGsNgNNfIPxwyTCG7mYXAtqRLKCw2lLvdr8kscOhkBg6dzICDWgFXJxWWvtkD731+5L4hRbHOCCcHpXRuhVyGd17scN+AZGxCCGa/1hX5BfoKrbUS2LI++nVriW7tvKWFb81mgcL7bNcMWL7kKlGkM5ZZxyL1zE2oVSVvEGM/3guzEAjwrY+4rr4QwoyDJzLQLawpp/fUEvd+wNw9ZU17T5+ryR8wRERERFT7ODuqMLSnP1J+vXnfzRaGxmpq7B+V+c2N7FKkNUjrPZjNApfScyuUOur0JoRpGuJi+u1yAwqgZBqRSinHH3la6dwVXYx22ZaTWD2jF9b+UPbUm7vrb9h9Hv26+eJyRj6mvxgl7e7j4qi6b0gSFdC4Qs8HKAl8dHoTZDJgwdQnoFYqUVBcEvgcPnkDZiHQ0rtutd4WjB6NIq0BapUCz/TUQKmUo08n22v6HDlV0i9q8gcMEREREdVO3g1dMTYhBMu2nCxzDc2xCSFo6llzN95gmPIQbty4gTlz5uDQoUMQQqBz586YPn06vLy8qrppj5xWZ0TGrUI08HCEzvDX9BvLzj0VSR0TnmyFbQd+v+9jDXuqLdIyC7D1wEXp3PdbjNbCQaWAi6PKrsU9Jz8bjlmrUvDeSx3RMagJTGZx35BEJgOG9tRg048XKvQ4crkMDmoFIAPSs/Lh7uqI1+btQ6H2r8Bmw+7z1XpbMHo4Wp0R6VkF2LDnHM5eycHCqdGI79YKm/ZfsLmmT5/OvriRXVijP2CIiIiIqHZydFAiur0PNM09sGH3+b/lxhs1t+VVrLi4GCNHjoRarcbcuXMBAAsWLMCIESOwbds2ODs7V3ELHx2tzoj9x9MQ2LI+bmQXwqeRmzT9pqI797wcH4TG9V2Q8uuNch9LJgOeCG+KZZtP4uiZTPTp5ItXBgSjlXfpxWhtcXZU4U6R3q7FPQu1JeueWHYEclQrkV+og0yGcp9PvbqOMJsq9jhRAY1xK7cYbs5qKOUKfLH1V6sgBSgJdpQK7tryd6TVGbHvWBqWbTkJuUyGWWM6I+nE9XKnrI1JCEZ0hE+N/oAhIiIiotrLyUEJP293TH42DCqlHFq9CY5qBQzGv8fGG/zm9oA2btyItLQ0LFmyBD179kTPnj2xdOlSZGRkYMOGDVXdvEcqPasAJy9lw8VJhW/3XZCm9gB/7dzj6+UmbWksl8sAlIzG6BjUBP+a2B0tmrjhRnYhXogLhExm+3FkMuCVAcFwdVYj9UymdO6WTevCYKzY7idF2r/WcakIuVwmTelJPXMT/s3qwbuhK9q2qI9PJ3W3+Xw+fq0ruoR6wcVRhcE9Wpf5fO5+XkN6tIYMgJOjAnmFOhw+VXqnILNZQGe4/5QhqnnSswqkIY4VnbK2fMspZGQXPsZWEhERERE9es6OKqiUCtRxVkOlVPwtghSAI1Me2L59+xAaGormzZtLZT4+PggPD8fevXvx4osvVmHrHp0irQEb9pzDgO6tpOkzSoXcampPWTv3uDiqUKwz4MB/r+Pf35+Bo1qB6S9G4V8Tu+M/ey/Y3C5ZLpchv0AnBSeFWiM++CIZX87sXaHdT7R6Ey5dr9g6LkDpdU+0eiPmfXUMF9NzEaZpiP7dfPHGsAgUaY1QqxS4mH4b2w6U7ETkoFbg/73SCWMSgrF8y6kyR7GMSQiGm4saapUchcVGLPnPLzZ3MZLLZXBQcZHRvxvL75Clf1R0ypplTR9O/SIiIiIiqn4YpjygixcvokePHqXK/fz8kJiYWAUtqhwqpRwnL2ZjyrMR0vQZW1N77t25x8VRiSE9NGjWuA7+/f0ZmMwCRToj0rPuINC3PvrfE7pcTL+NHQcv48T5LKyaYR2cFGqNuJBW8YDkwrVcDI7RVGgdl/juLbHj4GUAf4UZF9JyUawz4sifWzc/56RGo3rOyMi+g+1Jl6UQSKs3YcfByxjdPxD+zevZnAs4KMYPjes5QwiBNxYlYeHUGGTnaW22p2TXFpO06w/9PVgWbAZKdu2p6JQ1oGTql0rJAYRERERERNUNw5QHlJeXBzc3t1LldevWRX5+fhW0qHJodSY4qkt2nrFMn7FMv5n+YhRmj+uC7w78bhUihGkaIuHJVjCazJi9OhUCQMegJojv3hJenq44cuoGlm85CbVKAWeHkq2FLSNDZDIgt0BbKjixZ6FbTTN3uLmoMCYhBMvLWT36pf5BMAuB5NMl67hEBTSG3mjC2v/3FIp1RjioFLh8Ix+JKVdw6EQGEqL9MG5QCN4YFiFt3VysN8JRpYRaqcOofoF4Y1gEdHoTHNQK6A0mKOQynLqUjblrjiG8TaMyF7a1LNDLNVP+frS6v6aoOTuqUFhs35o+Wr2J2yITEREREVUzDFOoXI4OCmj1xpItW++aPlPe1J7cO1rUcVZBoVBg0RsxqOuiRnZuMb764SxOXriFt0ZG2gxhLFN9DEYz+ne3Dk4qutCtJSAp0poQHeENTTN3bNxje0qRWQjMXp0Kk1lAJgMGxfjhdr4Wby85hE4hXngyoilaNfXA4BgNRsUFQWcwQi6T4drNfMxalQKjSUAhl1mFQQ5qBdzrOEAG4PVhEXBUKTD7y6MwC2E1CsZWu70auMBBzV/JvxtHB4U00uruNX0qEqjI5TI4qhmkEBERERFVN/zm9oDc3NxsjkApa8RKTWUwmhHi1wCX0nNxIe221eiQe6f2WEaZmExmrHq3F5JOXMOGPecBAUwdFoG+XXxhNAm8/3kyogIao183X0x9Lhw6gwlODkrcKdLjx5/T8c3/ncPMlzqWmkZU3miYuwOS61kFaN7YDWPm7MHgGA0mPBMKB1UE8ov0VlOKkv+cxmNZ18Tb0xUrtp5Coc6I/0u5ij1Hr6FLiBcGx7RGsdaAs1duo0tIExiMZgyOaY3Pvysd6uj0JmTlFGFMQjA83Z0w4ZP9MAuBMQkh8PJ0hRCQvkjf3e4G7k4MUv6mDEazFEJq9SZpAeeKruljMJo5MoWIiIiIqJqRCXG/ZRDJlhEjRsBgMGD9+vVW5cOHD4cQAmvXrr3vOXQ6HU6fPo2goCA4ODhUVlMf2sW0XGz68QL6dPIFAPyekVfu6JAxCSHoGuIFpVKOjOxCbNxzHsd/y0RUQGP06dICGh8P6A0mODookZOnxbf7L+DwLxkIae2Jvl194d/MA1q9CUqFDBm3CrFhz19rkaiUcjz/VBtER/jA1UmF/EI9nP8MSC6k5SLUzxMN3B0xbu5eFBSXbD3s4qjEuy91gFIuw7akyzh0MsN6j/OeGnh5usBkMkMmk0GtUkhTdfL+XAw3v0gPrwauMJnNcFCVbOd1M6fI5jopQ3q0hlIhx8wVh9G2RX0MjdXAq4EL8ov0KCwyoEkDV2kUz43sAjg7qeDu6sAtcP/GLqblYsqCnyAE0DXUC306++KdZYfuO2Vt/j+fgJ+3++NrKBERERERScr7zs4w5QF9+eWXmDdvHnbt2gUfHx8AQHp6Onr37o2pU6di1KhR9z1HTQlTtDoj9h9Pg3fDOriWeQc+jVwhl8lsjg4ZHOMH74Z1YDSa4eSohNlshlnAal9xnd4ERwcFinUla4rcG5g0qOuI91/uBIPJhHNXc+HnXRe+XnWldUwupOfiYlou/HzqorW3hzSy5UJaLg6fzEDvji1w6lK21Xopij+3Ne7TpQX8vEvCHGdHJXQGE4qKDfjqh9+Q9Mt1qJRy1HNzRGhrTzzVsTmaNHCBySzg7KBAka70vuhFWgOUCjl0BhMcVAroDCV1ytpDvUhrgEopl8Kav8se61Q+rc6IfcfSsGzLSchlMswa0/m+oeTYhBBEt/dhyEZEREREVEUYplSCoqIixMfHw9HREZMmTYJMJsOCBQtQWFiIbdu2wcXF5b7nqClhCgAU64y4kV0IoCQQOHftNlr7uMPP2wOFWgPqOKlQqDXAaDSjSGdE4/oudn0JLNIaoFTKodOZ4OBQErg4OShQrP3zts4ER0cFtLqSEEKns4QRJsjlMigUfx2r15eUZWQX2hw5MjC6FbwauECpUEAuB5SKkqDHEoY4qBQwmhhy0KNVrDPi+q0CbNh9Hr/+no1pIyPLDCWHxmrQ1NOVQQoRERERURVimFJJMjIyMGfOHBw6dAhCCHTq1AnTp0+Ht7d3hY6vSWGKRZHWALVKjuK7Q427wg+9oXqFEPeOHDEYTVAq5FyfhKqMZXSS9s/fGUtAWNZoJiIiIiIiqhoMU6qpmhimEBEREREREdUG5X1nl1dRm4iIiIiIiIiIaiSGKUREREREREREdmCYQkRERERERERkB4YpRERERERERER2YJhCRERERERERGQHhilERERERERERHZgmEJEREREREREZAeGKUREREREREREdmCYQkRERERERERkB4YpRERERERERER2YJhCRERERERERGQHhilERERERERERHZgmEJEREREREREZAdlVTegNhNCAAD0en0Vt4SIiIiIiIiI7mb5rm757n43hilVyGAwAADOnz9fxS0hIiIiIiIiIlsMBgMcHR2tymTCVsRCj4XZbEZhYSFUKhVkMllVN4eIiIiIiIiI/iSEgMFggIuLC+Ry61VSGKYQEREREREREdmBC9ASEREREREREdmBYQoRERERERERkR0YphARERERERER2YFhChERERERERGRHRimEBERERERERHZgWEKEREREREREZEdGKYQEREREREREdmBYQrd140bNzBx4kREREQgPDwc48ePR0ZGRlU3iyrg5s2bmDVrFoYOHYrQ0FD4+/sjPT29VD2dToe5c+eia9euCAkJwdChQ3H06NFS9cxmM5YvX46YmBgEBwejf//+2LVrl83H3rhxI5566ikEBQWhd+/eWL9+vc16e/bswYABAxAcHIzo6GgsXboUJpOpVL1jx47hH//4B0JCQtClSxfMmTMHWq3WzitC90pMTMSECRMQHR2NkJAQ9O7dG59++ikKCgqs6uXl5eGdd95Bhw4d0K5dO7zwwgs4d+5cqfPVhL5E9klKSsKIESPQpUsXBAUFoXv37pg0aRIuXrxoVa+inxU1oS/Rw3vppZfg7++P//mf/7EqrwmvP99LKkdKSgr8/f1L/bRv396qHvsI/fTTT3j++ecRFhaG8PBwDBw4EEeOHJHuZx+hakMQlaOoqEjExsaKvn37it27d4vdu3eLuLg40aNHD1FYWFjVzaP7SE5OFp06dRKjR48Wo0aNEhqNRqSlpZWqN2XKFBERESE2bNggDh8+LF577TURHBwszpw5Y1Vv/vz5IjAwUHzxxRfiyJEjYsaMGcLf31/8+OOPVvU2bNgg/P39xfz588WRI0fE/Pnzhb+/v/j666+t6h04cEC0adNGvPvuu+LIkSNi1apVIigoSMybN8+q3tmzZ0VwcLAYN26cOHz4sNi4caNo3769mDRp0iO6UrXXkCFDxMSJE8V3330nUlJSxOrVq0VERIQYMmSIMJlMQgghzGaz+Mc//iG6desmtm/fLn766Sfx/PPPi6ioKHHjxg2r81X3vkT22759u/j444/FDz/8IFJSUsSWLVtEnz59RFhYmEhPTxdCVPyzoib0JXp427dvF126dBEajUbMnz9fKq8Jrz/fSypPcnKy0Gg0Ys2aNeK///2v9HPy5EmpDvsIrV+/XgQEBIiPPvpIHDx4UBw4cEAsX75c7Nu3TwjBPkLVC8MUKteXX34p2rRpI65cuSKVXbt2TbRt21asWrWqCltGFWH5MiyEEBs3brQZppw9e1ZoNBrx7bffSmUGg0H06tVLjBkzRirLzs4WgYGBYsGCBVbHjxgxQsTFxVkd27FjR/Hmm29a1Zs2bZqIiooSer1eKouPjxfPP/+8Vb1FixaJwMBAkZWVJZW9+uqrIjY21urYLVu2CI1GI06fPl2ha0G2/fHHH6XKLNf28OHDQgghdu/eLTQajThy5IhUJz8/X0RGRopZs2ZJZTWhL9GjcenSJaHRaMTKlSuFEBX/rKgJfYkeTm5urujcubPYvn17qTClJrz+fC+pPJYw5dChQ2XWYR+p3dLS0kRwcLBYvXp1mXXYR6g64TQfKte+ffsQGhqK5s2bS2U+Pj4IDw/H3r17q7BlVBFy+f1/xffu3QuVSoU+ffpIZUqlEn379sXBgweh1+sBlAz1NxgM6N+/v9Xx/fv3x/nz55GWlgYAOHHiBHJyckrVi4+PR25uLo4fPw6gZErA2bNnbdYzGAw4cOAAAMBgMCApKQlPP/00VCqVVM9ym/3w4dSrV69UWXBwMAAgMzMTQMn7QMOGDdGxY0epTp06dRAdHW11/at7X6JHx93dHQCgUCgAVPyzorr3JXp4//rXv9C6dWvExcWVuq+6v/58L6l67CO126ZNmyCXy/Hss8+WWYd9hKoThilUrosXL0Kj0ZQq9/PzKzVfnmqmixcvomnTpnBycrIq9/Pzg8FgwNWrV6V6arXa6ssSALRu3RoAcOnSJQDAhQsXrMrtrefj4wMnJyepf127dg06na5UPQcHBzRr1oz9sBKkpqYCAFq1agWg/PeBjIwMFBYWSvWqc1+ih2MymaDX63HlyhW899578PT0lL4wV/Szorr3JXo4x44dw9atWzFz5kyb91f315/vJY/H66+/jrZt26JDhw6YOnWq1dpK7CO12/Hjx9GyZUt8//336NmzJwICAhAbG4uvv/5aqsM+QtWJsqobQNVbXl4e3NzcSpXXrVsX+fn5VdAietTy8vJQt27dUuWWvzzn5eVJ/3Vzc4NMJrOqZzk2NzfXqv695yyrnq3+5ebmZvW4ZdWrW7eudD89GpmZmVi4cCE6d+4sjVDJy8tD06ZNS9W19JH8/Hy4uLhU+75ED2fIkCH49ddfAQDNmzfHv//9b9SvXx9AxT8rqntfogen1+vx3nvvYdSoUWjZsqXNOtX99ed7SeWqU6cORo0ahcjISLi6uuLMmTNYvnw5UlNTsXXrVtSvX599pJbLyspCVlYW5s2bhylTpsDHxweJiYn44IMPYDQaMXLkSPYRqlYYphAREQCgsLAQ48aNg0KhwJw5c6q6OVTNfPLJJygoKEBaWhpWrVqFF198EevWrYO3t3dVN42qgS+++AJarRbjxo2r6qZQNRUQEICAgADpdlRUFCIjIzFkyBCsWbMGkydPrsLWUXUghEBhYSE+/vhj9OrVCwDQqVMnXL9+HStWrMCIESOquIVE1jjNh8rl5uZmcwRKWX+FpJqnrJTckrBbEndLXxBCWNWzHGtJ+i394t5zllXPVv/Kz8+XHtfy37L6oa2/OpD9tFotxo4di/T0dKxcuRKNGzeW7ivrfcDSRyyvZXXvS/RwWrVqhdDQUMTFxeHLL79EUVERVqxYAaDinxXVvS/Rg8nIyMCyZcswadIk6PV65OfnS6+z5bbJZKr2rz/fSx6/wMBAtGjRAqdPnwZQ/d8j2Ecql+U6d+7c2aq8a9euyM7ORlZWFvsIVSsMU6hcfn5+0ty/u126dAl+fn5V0CJ61Pz8/HD9+nUUFxdblV+6dAkqlUqaQ9q6dWvo9Xpcu3bNqp5l7qdlfQ3LHNF754RWtF56ejqKi4ul/uXj4wO1Wl2qH+p0OqSlpbEfPgIGgwETJ07E6dOnsWLFCvj7+1vdX977gJeXF1xcXKR61bkv0aPj5uaGZs2aSa9hRT8rqntfogeTlpYGnU6HN954A5GRkdIPAKxatQqRkZE4f/58tX/9+V5S9dhHarf7XT+5XM4+QtUKwxQqV0xMDH755RdpJWug5M3g559/RkxMTBW2jB6VmJgYGAwGJCYmSmVGoxE7d+5E165doVarAQDdunWDSqXC9u3brY7ftm0bNBoNfHx8AADt2rWDh4eHzXru7u4IDw8HAHh5eaFNmzbYtm1bqXoqlQrdu3cHAKjVanTr1g2JiYkwGo1SvcTEROj1evbDh2Q2m/H6668jOTkZS5cuRbt27UrV6dGjBzIzM6WFaQGgoKAA+/fvt7r+1b0v0aOTnZ2Ny5cvo1mzZgAq/llR3fsSPZi2bdtizZo1pX6Akh0x1qxZg2bNmlX715/vJY/fqVOncPnyZYSEhACo/u8R7COVKzY2FgBw8OBBq/KkpCQ0btwYnp6e7CNUrSjef//996u6EVR9aTQafP/999i1axcaNmyIy5cvY+bMmXBwcMBHH30kvRFR9ZWYmIiLFy/i559/xunTp+Hr64vr168jJycHTZs2haenJ37//Xd8/fXX8PDwQH5+Pj799FOcPHkSn3zyCRo2bAgAcHZ2RlFREVauXAknJyfo9Xp8/vnn2LVrFz766CP4+voCKNkq1cXFBcuWLYPBYIBcLsemTZuwZs0avPnmmwgLC5Pa5uXlheXLlyMrKwvOzs7Ys2cPFi5ciOHDh0tzZQGgZcuWWLVqFX777Td4eHggOTkZH3/8MZ588kmMHDny8V7Qv5n3338fW7duxcsvv4zWrVvj5s2b0g8AuLq6okWLFjh8+DA2b96Mhg0bIjMzEx988AGys7PxySefoE6dOgBQI/oS2e+1117DlStXkJ+fj6ysLBw8eBDAVTc7AAAP4klEQVQzZ86EVqvF7Nmz4eHhUeHPiprQl8h+Dg4O8Pb2LvWzePFiREdHY/DgwVCr1TXi9ed7SeWZOnUqzpw5gzt37iArKwu7d+/Ge++9B3d3d8yePRtOTk7sI7Vc8+bNcfToUXz77bdwdXVFXl4eVqxYgcTERLzzzjto27Yt+whVL4LoPq5fvy7Gjx8vwsLCRLt27cS4ceNEWlpaVTeLKkij0dj8GTZsmFSnuLhYzJ49W3Tu3FkEBQWJwYMHi+Tk5FLnMhqNYsmSJeLJJ58UgYGBIi4uTvzwww82H3f9+vWiV69eIjAwUMTGxoq1a9farLdr1y7Rr18/ERgYKJ544gmxaNEiYTQaS9VLTU0VzzzzjAgKChKdOnUSH374oSgqKnrAq0IW0dHRZfaRhQsXSvVu374tpk2bJiIjI0VISIgYMWKEOHv2bKnz1YS+RPZZvny5SEhIEBERESIkJET06tVLzJgxo9TnQEU/K2pCX6JHQ6PRiPnz51uV1YTXn+8llWPZsmUiLi5OhIeHi4CAANG9e3fx7rvviszMTKt67CO12507d8T7778vOnXqJL1e27Zts6rDPkLVhUyIe1bbISIiIiIiIiKiMnHNFCIiIiIiIiIiOzBMISIiIiIiIiKyA8MUIiIiIiIiIiI7MEwhIiIiIiIiIrIDwxQiIiIiIiIiIjswTCEiIiIiIiIisgPDFCIiIiIiIiIiOzBMISIiIiIiIiKyA8MUIiIiIiIiIiI7MEwhIiIiIiIiIrIDwxQiIiIiIiIiIjswTCEiIiIiIiIisgPDFCIiIiIiIiIiOzBMISIiIiIiIiKyA8MUIiIiIiIiIiI7MEwhIiIiIiIiIrIDwxQiIiIiIiIiIjswTCEiIiIiIiIisgPDFCIiIiIiIiIiOzBMISIiIiIiIiKyA8MUIiIiIiIiIiI7MEwhIiIiIiIiIrIDwxQiIiIiIiIiIjsoq7oBREREVHUuXbqEdevWISUlBTdu3IBOp4O7uzsCAgIQGxuL+Ph4qNXqx9IWf39/REVF4auvvnosj1ed+fv7AwDOnTtXxS0hIiIiWximEBER1VKLFy/GkiVLYDabERYWhoSEBDg7OyM7Oxupqal49913sX79emzevLmqm0pERERUrTBMISIiqoWWLVuGRYsWoUmTJliwYAFCQ0NL1dm/fz9WrVpVBa0jIiIiqt64ZgoREVEtk56ejsWLF0OlUmHFihU2gxQAiI6OxsqVK6XbKSkp8Pf3x6JFi2zWj4mJQUxMjFWZXq/HmjVrkJCQgMjISISGhiImJgbjxo3D4cOHAQCbN2+WprWkpqbC399f+rn3sXbu3Innn38eERERCAkJQb9+/bB8+XLo9foy21NYWIjZs2fjiSeeQEhICOLj47Fnzx4AgNFoxGeffYZevXohODgYPXv2xNq1a8u8dklJSXj55ZfRoUMHBAUFoWfPnpg7dy7y8/PLfPyCggLMmTMHMTExCAwMLPP63U96ejr8/f0xbdo0pKenY/LkyejQoQOCg4MxcOBA7N+/v8xjd+7ciZEjRyIqKgrBwcGIiYnBlClTcOrUKat6er0eK1asQL9+/RAaGorw8HA899xz2LlzZ7ntuXbtGiZOnIgOHTogLCwMo0aNwvnz5wEAOTk5mDFjBrp27Yrg4GAMGjQIycnJNttpNBrx9ddf45lnnkF4eDhCQ0MxYMAArF27Fmaz+YGuGxERUWXgyBQiIqJaZvPmzTAYDOjbty80Gk25dR92vZS3334bO3bsgEajQXx8PBwdHZGVlYXjx48jKSkJnTt3Rtu2bTF+/HgsXrwYTZs2RUJCgnR8VFSU9P/z58/H8uXL4eHhgbi4ODg7OyMpKQnz58/HwYMHsXLlylLtNRgMGDVqFHJzc9GjRw8YDAbs2LEDEyZMwKpVq7Bu3Tr88ssv6N69O9RqNRITEzFr1izUq1cPffr0sTrX4sWLsWjRIri7u+PJJ59EvXr1cP78eaxatQoHDhzAhg0b4OrqanWMXq/HiBEjkJeXhy5dusDV1RXe3t4PdU2vX7+OIUOGwMfHB/Hx8cjLy8POnTvx6quvYvXq1ejYsaNUVwiBt99+G1u2bIGHhwdiY2NRr1493Lx5EykpKfD19UVwcLDU1pdeegmpqalo2bIlnnvuOWi1WuzatQuTJ0/Gb7/9hilTppTZnlatWiEhIQHXr1/H7t27MXz4cGzYsAGjR4+Gq6srnn76aamtL7/8Mnbt2gUvLy+r12rs2LE4ePAgfH19ERcXBwcHB6SkpGDWrFn45Zdf8MknnzzUtSMiInpkBBEREdUqI0aMEBqNRmzcuNGu45KTk4VGoxELFy60eX90dLSIjo6Wbufn5wt/f3+RkJAgjEZjqfo5OTlWtzUajRg2bJjNc//8889Co9GIJ554QmRlZUnlBoNBjBkzRmg0GvHZZ5+Vao9GoxFjxowROp1OKj969KjQaDQiMjJSDBw4UOTl5Un3Xbt2TQQGBor4+Hircx05ckRoNBoxdOhQq/pCCLFp0yah0WjERx99ZPPxR44cKQoLC20+r7JoNBqh0WisytLS0qTyRYsWWd134MABodFoxOjRo63Kv/nmG6HRaMSgQYNEfn6+1X1Go1FkZmZKt5ctWyadw2AwSOXZ2dnSczl+/LjN9ixdutTq3IsXL5au8YwZM4TJZJLu27Jli83rtXDhQqHRaMQHH3xg1V+MRqN4++23hUajEbt37y73uhERET0unOZDRERUy9y6dQsA0KhRo0p9HJlMBiEE1Go15PLS/+Tw8PCo8Lk2bdoEABg3bhw8PT2lcqVSibfeegtyuRz/+c9/bB47ffp0qxEr7du3h7e3N/Ly8vD666/Dzc1Nus/HxwdhYWG4cOECTCaTVG7ZYWjWrFlW9QFg4MCBaNu2LbZv327z8adNmwZnZ+cKP9f7adq0KcaNG2dV1q1bN3h5eeHkyZNW5ZYpSx988AHq1KljdZ9CoUDDhg2l25s2bYJMJsO0adOgVP41eLl+/frS49m6xk2bNsUrr7xiVWYZXaTX6/Hmm29avf79+vWDUqnE2bNnpTKz2Yy1a9fC09MTb7/9NhQKhVU7p02bBplMVuY1JiIietw4zYeIiIgqhaurK6Kjo7F//37Ex8ejV69eaN++PUJDQ+Hk5GTXuc6cOQMAVlNYLHx9fdG4cWOkp6fjzp07VqGBm5sbmjVrVuqYhg0bIj09HUFBQaXua9SoEYxGI7Kzs6XA6cSJE1CpVEhMTERiYmKpYwwGA3JycnD79m2rkMjBwUFaD+ZRadOmjVXYYNG4cWOcOHFCul1UVITz58+jQYMGCAgIKPecBQUFuHr1Kho1aoRWrVqVut9y3e8OQCzatm1bqj2WkKZFixalpj4pFArUr18fmZmZUtnly5eRm5uLFi1a4LPPPrPZRkdHR/z+++/lPg8iIqLHhWEKERFRLePp6YlLly5ZfZmtLP/7v/+Lzz//HDt27JAWXnVwcEDv3r3x1ltvoUGDBhU6z507dwDAalTK3Tw9PZGRkYH8/HyrMOXe0RgWlpEXtu633GcwGKSy3NxcGI1GLF68uNx2FhUVWYUp9evXh0wmK/cYe907MsZCqVRaLdJquWYVGYFUUFAAoOzrawlHbC20W941LO/6G41G6XZubi4A4MqVK+Ve48LCwjLvIyIiepwYphAREdUyERERSE5ORnJyMoYMGVLh4yxTNe7+Eny3/Pz8Ul/0HR0dMWHCBEyYMAE3btzA0aNHsWXLFmzbtg3Xr1/HunXrKvTYli/l2dnZNkeaWKYulfXl/WG5urpCCIHU1FS7jnvUQYo9LNeiIqGZZfRIdna2zfuzsrKszvmoWc4bGxt738CKiIioOuCaKURERLXMwIEDoVKpsGvXLly8eLHcundvOWwJSm7evFmq3tWrV6WREGVp0qQJ+vfvj5UrV6J58+Y4fvw4bt++Ld0vl8ut1im5W9u2bQGUbM9s67Fv3rwJb2/vMkdtPKx27dohLy8PFy5cqJTzVwZnZ2doNBpkZ2dL06TK4urqimbNmiEzMxNXrlwpdb/lut9vutCDatmyJdzc3HDixAmrEUFERETVFcMUIiKiWsbb2xvjx4+HwWDAK6+8glOnTtmsd+DAAYwePVq63bJlS7i6umLv3r34448/pHKtVosPP/yw1PE5OTk4d+5cqfKioiIUFRVBqVRCpVJJ5e7u7jaDGgAYNGgQAOCzzz5DTk6OVG4ymTB37lyYzWYMHjz4Ps/8wb3wwgsAgBkzZtgc6VFUVGS1Xkl1MXz4cADAzJkzS4VdZrNZGnEClFxjIQTmzZtnFWrl5ORg6dKlUp3KoFQqMWzYMNy6dQsffvghtFptqTpZWVn3Df+IiIgeF07zISIiqoXGjh0Lo9GIJUuWYPDgwQgLC0NQUBBcXFyQnZ2NY8eO4cqVK1YLtKpUKowYMQJLly7FgAEDEBsbC6PRiMOHD6Nhw4ZWO8MAJdNLBgwYAI1GA39/fzRp0gQFBQX48ccfcevWLQwfPtxqcdJOnTrh+++/x9ixYxEQEAClUonIyEhERkYiPDwco0ePxhdffIG4uDj07t0bTk5OSEpKwvnz5xEREYGXXnqp0q5Xp06dMHXqVMyfPx+9e/dG9+7d4e3tjaKiImRkZODo0aMIDw/HypUrK60ND2LIkCE4duwYvvvuO/Tq1Qs9evRAvXr1kJWVheTkZAwaNAgTJkwAAIwaNQoHDhzA3r17ER8fj+7du0Or1SIxMRF//PEHRo8ejfbt21daW1999VX89ttv+Oabb7B//3507NgRjRo1wh9//IGrV6/i559/xuTJk+Hn51dpbSAiIqoohilERES11Pjx4/H0009j3bp1SElJwebNm6HX6+Hu7o42bdpg9OjRiI+Ptzpm4sSJcHJywsaNG7Fx40Y0aNAAffr0wYQJE9C3b1+ruk2bNsWECROQmpqKlJQU3L59G+7u7vD19cXUqVNL1X/nnXcgk8lw5MgR/PTTTzCbzRg/fjwiIyMBAG+88QYCAgKwdu1abN26FUajEc2aNcM///lPjBo1ymr748rwyiuvIDw8HF999RWOHz+Offv2wdXVFY0aNcIzzzyDuLi4Sn38ByGTyTBv3jx07doVGzduxA8//AC9Xg9PT09EREQgJiZGqqtWq7F69WqsXr0aO3bswNq1a6FQKNCmTRtMnz690p+fSqXC0qVL8d1332HLli348ccfpQV9vb29MWnSJPTr169S20BERFRRMiGEqOpGEBERERERERHVFFwzhYiIiIiIiIjIDgxTiIiIiIiIiIjswDCFiIiIiIiIiMgODFOIiIiIiIiIiOzAMIWIiIiIiIiIyA4MU4iIiIiIiIiI7MAwhYiIiIiIiIjIDgxTiIiIiIiIiIjswDCFiIiIiIiIiMgODFOIiIiIiIiIiOzw/wFTgavIKDTP/wAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Total Purchase by Marital Status\n",
        "plt.figure(figsize=(10, 5),dpi=100)\n",
        "sns.barplot(x='Marital_Status',y='Total_purchase',data=df,palette=colors1)\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "JqdpkRVSSlOB",
        "outputId": "3a7ea875-c8a9-42ca-fa81-c2353d194c1e"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Total places from where purchases have been made\n",
        "df['Total_place_purchases'] = df['NumWebPurchases']+df['NumCatalogPurchases']+df['NumStorePurchases'] + df['NumWebVisitsMonth']"
      ],
      "metadata": {
        "id": "G-a296KSSvkX"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Complaint Plot\n",
        "plt.figure(figsize=(15,10))\n",
        "sns.kdeplot(\n",
        "   data=df, x=\"Income\", hue=\"Complain\", log_scale= True,\n",
        "   fill=True, common_norm=False,palette='mako',\n",
        "   alpha=.5, linewidth=0,\n",
        ")\n",
        "plt.gca().axes.get_yaxis().set_visible(False) \n",
        "plt.xlabel('Income')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "id": "PdUe2HaASvgU",
        "outputId": "089a629f-4ed8-4075-c0cc-207cbaeeadba"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}