BackOrder_EDA.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "BackOrder_EDA.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "tzvTjZVxnddV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "sns.set(style='darkgrid')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uK5YesERoRPE",
        "colab_type": "code",
        "outputId": "88c49463-c579-4c6f-e7f9-6e954cdd2b48",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 605
        }
      },
      "source": [
        "df = pd.read_csv('/content/Training_Dataset_v2.csv',skipinitialspace=True)\n",
        "df.info()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py:2718: DtypeWarning: Columns (0) have mixed types.Specify dtype option on import or set low_memory=False.\n",
            "  interactivity=interactivity, compiler=compiler, result=result)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1687861 entries, 0 to 1687860\n",
            "Data columns (total 23 columns):\n",
            " #   Column             Non-Null Count    Dtype  \n",
            "---  ------             --------------    -----  \n",
            " 0   sku                1687861 non-null  object \n",
            " 1   national_inv       1687860 non-null  float64\n",
            " 2   lead_time          1586967 non-null  float64\n",
            " 3   in_transit_qty     1687860 non-null  float64\n",
            " 4   forecast_3_month   1687860 non-null  float64\n",
            " 5   forecast_6_month   1687860 non-null  float64\n",
            " 6   forecast_9_month   1687860 non-null  float64\n",
            " 7   sales_1_month      1687860 non-null  float64\n",
            " 8   sales_3_month      1687860 non-null  float64\n",
            " 9   sales_6_month      1687860 non-null  float64\n",
            " 10  sales_9_month      1687860 non-null  float64\n",
            " 11  min_bank           1687860 non-null  float64\n",
            " 12  potential_issue    1687860 non-null  object \n",
            " 13  pieces_past_due    1687860 non-null  float64\n",
            " 14  perf_6_month_avg   1687860 non-null  float64\n",
            " 15  perf_12_month_avg  1687860 non-null  float64\n",
            " 16  local_bo_qty       1687860 non-null  float64\n",
            " 17  deck_risk          1687860 non-null  object \n",
            " 18  oe_constraint      1687860 non-null  object \n",
            " 19  ppap_risk          1687860 non-null  object \n",
            " 20  stop_auto_buy      1687860 non-null  object \n",
            " 21  rev_stop           1687860 non-null  object \n",
            " 22  went_on_backorder  1687860 non-null  object \n",
            "dtypes: float64(15), object(8)\n",
            "memory usage: 296.2+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eWyv9T1V4x1f",
        "colab_type": "code",
        "outputId": "6f914536-1f7b-4b8a-bad9-2a35311fdced",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 217
        }
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>sku</th>\n",
              "      <th>national_inv</th>\n",
              "      <th>lead_time</th>\n",
              "      <th>in_transit_qty</th>\n",
              "      <th>forecast_3_month</th>\n",
              "      <th>forecast_6_month</th>\n",
              "      <th>forecast_9_month</th>\n",
              "      <th>sales_1_month</th>\n",
              "      <th>sales_3_month</th>\n",
              "      <th>sales_6_month</th>\n",
              "      <th>sales_9_month</th>\n",
              "      <th>min_bank</th>\n",
              "      <th>potential_issue</th>\n",
              "      <th>pieces_past_due</th>\n",
              "      <th>perf_6_month_avg</th>\n",
              "      <th>perf_12_month_avg</th>\n",
              "      <th>local_bo_qty</th>\n",
              "      <th>deck_risk</th>\n",
              "      <th>oe_constraint</th>\n",
              "      <th>ppap_risk</th>\n",
              "      <th>stop_auto_buy</th>\n",
              "      <th>rev_stop</th>\n",
              "      <th>went_on_backorder</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1026827</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>No</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-99.00</td>\n",
              "      <td>-99.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1043384</td>\n",
              "      <td>2.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>No</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.99</td>\n",
              "      <td>0.99</td>\n",
              "      <td>0.0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1043696</td>\n",
              "      <td>2.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>No</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-99.00</td>\n",
              "      <td>-99.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1043852</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>No</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.13</td>\n",
              "      <td>0.0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1044048</td>\n",
              "      <td>8.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>No</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-99.00</td>\n",
              "      <td>-99.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       sku  national_inv  lead_time  ...  stop_auto_buy  rev_stop  went_on_backorder\n",
              "0  1026827           0.0        NaN  ...            Yes        No                 No\n",
              "1  1043384           2.0        9.0  ...            Yes        No                 No\n",
              "2  1043696           2.0        NaN  ...            Yes        No                 No\n",
              "3  1043852           7.0        8.0  ...            Yes        No                 No\n",
              "4  1044048           8.0        NaN  ...            Yes        No                 No\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i59hYPm9qefK",
        "colab_type": "code",
        "outputId": "8704403d-02b6-4971-cdfc-bc22467c5f86",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 230
        }
      },
      "source": [
        "#removing duplicate entries if any\n",
        "df.duplicated(subset=None,keep='first')"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0          False\n",
              "1          False\n",
              "2          False\n",
              "3          False\n",
              "4          False\n",
              "           ...  \n",
              "1687856    False\n",
              "1687857    False\n",
              "1687858    False\n",
              "1687859    False\n",
              "1687860    False\n",
              "Length: 1687861, dtype: bool"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1GjxQ1hAqRwD",
        "colab_type": "code",
        "outputId": "fa16fe4a-8286-4f5d-b43f-e93b305a89c7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        }
      },
      "source": [
        "df.describe()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>national_inv</th>\n",
              "      <th>lead_time</th>\n",
              "      <th>in_transit_qty</th>\n",
              "      <th>forecast_3_month</th>\n",
              "      <th>forecast_6_month</th>\n",
              "      <th>forecast_9_month</th>\n",
              "      <th>sales_1_month</th>\n",
              "      <th>sales_3_month</th>\n",
              "      <th>sales_6_month</th>\n",
              "      <th>sales_9_month</th>\n",
              "      <th>min_bank</th>\n",
              "      <th>pieces_past_due</th>\n",
              "      <th>perf_6_month_avg</th>\n",
              "      <th>perf_12_month_avg</th>\n",
              "      <th>local_bo_qty</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.586967e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "      <td>1.687860e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>4.961118e+02</td>\n",
              "      <td>7.872267e+00</td>\n",
              "      <td>4.405202e+01</td>\n",
              "      <td>1.781193e+02</td>\n",
              "      <td>3.449867e+02</td>\n",
              "      <td>5.063644e+02</td>\n",
              "      <td>5.592607e+01</td>\n",
              "      <td>1.750259e+02</td>\n",
              "      <td>3.417288e+02</td>\n",
              "      <td>5.252697e+02</td>\n",
              "      <td>5.277230e+01</td>\n",
              "      <td>2.043724e+00</td>\n",
              "      <td>-6.872059e+00</td>\n",
              "      <td>-6.437947e+00</td>\n",
              "      <td>6.264507e-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>2.961523e+04</td>\n",
              "      <td>7.056024e+00</td>\n",
              "      <td>1.342742e+03</td>\n",
              "      <td>5.026553e+03</td>\n",
              "      <td>9.795152e+03</td>\n",
              "      <td>1.437892e+04</td>\n",
              "      <td>1.928196e+03</td>\n",
              "      <td>5.192378e+03</td>\n",
              "      <td>9.613167e+03</td>\n",
              "      <td>1.483861e+04</td>\n",
              "      <td>1.254983e+03</td>\n",
              "      <td>2.360165e+02</td>\n",
              "      <td>2.655636e+01</td>\n",
              "      <td>2.584333e+01</td>\n",
              "      <td>3.372224e+01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-2.725600e+04</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>-9.900000e+01</td>\n",
              "      <td>-9.900000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>6.300000e-01</td>\n",
              "      <td>6.600000e-01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>1.500000e+01</td>\n",
              "      <td>8.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>8.200000e-01</td>\n",
              "      <td>8.100000e-01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>8.000000e+01</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.200000e+01</td>\n",
              "      <td>2.000000e+01</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.500000e+01</td>\n",
              "      <td>3.100000e+01</td>\n",
              "      <td>4.700000e+01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>9.700000e-01</td>\n",
              "      <td>9.500000e-01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.233440e+07</td>\n",
              "      <td>5.200000e+01</td>\n",
              "      <td>4.894080e+05</td>\n",
              "      <td>1.427612e+06</td>\n",
              "      <td>2.461360e+06</td>\n",
              "      <td>3.777304e+06</td>\n",
              "      <td>7.417740e+05</td>\n",
              "      <td>1.105478e+06</td>\n",
              "      <td>2.146625e+06</td>\n",
              "      <td>3.205172e+06</td>\n",
              "      <td>3.133190e+05</td>\n",
              "      <td>1.464960e+05</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.253000e+04</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       national_inv     lead_time  ...  perf_12_month_avg  local_bo_qty\n",
              "count  1.687860e+06  1.586967e+06  ...       1.687860e+06  1.687860e+06\n",
              "mean   4.961118e+02  7.872267e+00  ...      -6.437947e+00  6.264507e-01\n",
              "std    2.961523e+04  7.056024e+00  ...       2.584333e+01  3.372224e+01\n",
              "min   -2.725600e+04  0.000000e+00  ...      -9.900000e+01  0.000000e+00\n",
              "25%    4.000000e+00  4.000000e+00  ...       6.600000e-01  0.000000e+00\n",
              "50%    1.500000e+01  8.000000e+00  ...       8.100000e-01  0.000000e+00\n",
              "75%    8.000000e+01  9.000000e+00  ...       9.500000e-01  0.000000e+00\n",
              "max    1.233440e+07  5.200000e+01  ...       1.000000e+00  1.253000e+04\n",
              "\n",
              "[8 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VUFUx4gsqVZN",
        "colab_type": "code",
        "outputId": "651dd053-ad79-46b8-c3e3-36ffb869c3ce",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 443
        }
      },
      "source": [
        "df.isnull().sum()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "sku                       0\n",
              "national_inv              1\n",
              "lead_time            100894\n",
              "in_transit_qty            1\n",
              "forecast_3_month          1\n",
              "forecast_6_month          1\n",
              "forecast_9_month          1\n",
              "sales_1_month             1\n",
              "sales_3_month             1\n",
              "sales_6_month             1\n",
              "sales_9_month             1\n",
              "min_bank                  1\n",
              "potential_issue           1\n",
              "pieces_past_due           1\n",
              "perf_6_month_avg          1\n",
              "perf_12_month_avg         1\n",
              "local_bo_qty              1\n",
              "deck_risk                 1\n",
              "oe_constraint             1\n",
              "ppap_risk                 1\n",
              "stop_auto_buy             1\n",
              "rev_stop                  1\n",
              "went_on_backorder         1\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iyhzpxdexQp0",
        "colab_type": "text"
      },
      "source": [
        "- lead_time has over 100k missing values."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q8bIxoj5DE_U",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df.dropna(inplace=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6xBnXkGPDnbx",
        "colab_type": "text"
      },
      "source": [
        "- 100k rows is a very small fraction of data, So its safe to drop rows with null values"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3hGWUM4K2GLH",
        "colab_type": "code",
        "outputId": "647306c9-3013-4700-939d-c7bf3ed8a7d3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        }
      },
      "source": [
        "df['went_on_backorder'].value_counts()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "No     1575998\n",
              "Yes      10969\n",
              "Name: went_on_backorder, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WWsfqA3w1tT0",
        "colab_type": "code",
        "outputId": "e2c5684f-0e33-4546-839c-8785b527064d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 382
        }
      },
      "source": [
        "sns.catplot(x=\"went_on_backorder\", kind=\"count\", data=df)"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f1825f60e80>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAFcCAYAAAADJ+8qAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nO3dfVSUdf7/8dcwSJrgJsjNkHnKbljWNE3Edr0NUSwgPJvGWejWDddatWxLLQtCrQ7m6cY0XXc3zaNuu7ZlC5F53G4pb7ZzTNi8K/ImdQSEzBsQcOb6/dFpvvFTcVCYmQ8+H385w+e65o1Hno4fZ66xWZZlCQBghCB/DwAA8B7RBgCDEG0AMAjRBgCDEG0AMAjRBgCDtLtoFxQUKCkpSXFxcdq1a5dXxxw5ckSPPPKIUlJSlJqaqgULFrTxlABwfoL9PUBrGzFihO6++25lZ2d7fcyMGTN000036YUXXpAkVVVVtdV4AHBB2l20ExISznj/1q1bNW/ePJ04cUKSNGXKFA0fPlx79uzRrl27tGjRIs/ayMhIn8wKAC3V7qJ9JkePHlVeXp6WLFmiqKgoVVZWauzYsSoqKtI333yj6OhozZw5U9u3b1e3bt00bdo0XXvttf4eGwBOc1FEe8uWLdq/f79ycnI899lsNu3du1dut1tbt27Vn/70JyUkJGjdunV64IEHtH79ej9ODABndlFE27IsxcXFaeXKlWf8usPh8GyrjBo1So899phqamoUHh7uyzEB4Jza3atHzqRfv37au3evNm7c6LmvtLRUlmXp+uuv16WXXqqvv/5akvTf//5Xv/jFL9S1a1d/jQsAZ2Vrb1f5mzNnjtatW6fDhw+ra9euuuyyy/Tuu++qtLRUzz//vH744Qc1Njbqiiuu0OLFixUUFKSysjLl5+eroaFBnTp10syZM9WnTx9/fysAcJp2F20AaM8uiu0RAGgviDYAGKTdvXqkuvq43G52fACYKzIy7Kxf45k2ABiEaAOAQYg2ABiEaAOAQYg2ABjEJ9H29oMJiouLlZ6errS0NKWnp+vw4cO+GA8AjOGTl/x588EEZWVlWrBggV5//XVFRkbq2LFjCgkJ8cV4AGAMn0T7bB9M8HPLli3T+PHjPR9AEBZ29tcpAsDFKmDeXFNeXq7u3bsrOztbtbW1GjlypB544AHZbLYWnSciIrSNJgQA/wuYaLtcLu3cuVNLly5VQ0OD7r//fsXGxmrMmDEtOg/viARgOiPeERkbG6vRo0crJCREoaGhGjFihEpLS/09FgAElICJdlpamkpKSmRZlhobG7Vx40b98pe/9PdYABBQfHI97bN9MEFOTo6mTJmi3r17y+12q6CgQJ988omCgoI0ePBgTZ8+XUFBLft75Xy3R8K6dFTHSzq0+DiY52R9o44dPenvMYCzam57pN19CML5RjsyMkxZ0878GZJoX1bNzVZV1TF/jwGclRF72gCAcyPaAGAQog0ABiHaAGAQog0ABiHaAGAQog0ABiHaAGAQog0ABiHaAGAQog0ABiHaAGAQog0ABiHaAGAQog0ABiHaAGAQog0ABiHaAGAQog0ABiHaAGAQog0ABiHaAGAQog0ABiHaAGAQog0ABvFZtAsKCpSUlKS4uDjt2rWr2bXffvutbrjhBhUUFPhoOgAwg8+iPWLECK1cuVKXX355s+tcLpfy8vKUnJzso8kAwBzBvnqghIQEr9YtWbJEw4cPV21trWpra9t4KgAwS0Dtae/YsUMlJSW69957/T0KAAQknz3TPpfGxkY99dRTeu6552S328/7PBERoa04FdqryMgwf48AnJeAiXZVVZX27dunCRMmSJKOHj0qy7J0/PhxzZ492+vzVFcfl9tttfjx+SG+uFRVHfP3CMBZNdejgIl2bGysNm3a5Ln9yiuvqLa2VtOnT/fjVAAQWHy2pz1nzhwNHTpUhw4d0n333afU1FRJUk5OjsrKynw1BgAYzWZZVsv3EgLYhWyPZE1b2QYTIdCsmpvN9ggCWnPbIwH16hEAQPOINgAYhGgDgEGINgAYhGgDgEGINgAYhGgDgEGINgAYhGgDgEGINgAYhGgDgEGINgAYhGgDgEGINgAYhGgDgEGINgAYhGgDgEGINgAYhGgDgEGINgAYhGgDgEGINgAYhGgDgEGINgAYhGgDgEGINgAYxGfRLigoUFJSkuLi4rRr164zrlm4cKFSU1OVnp6u3/72t/r00099NR4AGCHYVw80YsQI3X333crOzj7rmj59+mj8+PHq1KmTduzYoTvvvFMlJSXq2LGjr8YEgIDms2gnJCScc82QIUM8v46Li5NlWTpy5IhiYmLacjQAMIbPot1Sa9asUY8ePVoc7IiI0DaaCO1JZGSYv0cAzktARnvz5s16+eWX9dprr7X42Orq43K7rRYfxw/xxaWq6pi/RwDOqrkeBVy0t2zZoscee0yvvvqqevbs6e9xACCgBNRL/kpLSzV16lTNnz9fvXr18vc4ABBwfBbtOXPmaOjQoTp06JDuu+8+paamSpJycnJUVlYmScrPz9fJkyeVm5urjIwMZWRkaOfOnb4aEQACns2yrJZvAAewC9nTzpq2sg0mQqBZNTebPW0EtOb2tANqewQA0DyiDQAGIdoAYBCiDQAGIdoAYBCiDQAGIdoAYBCiDQAGIdoAYBCiDQAGIdoAYBCiDQAGIdoAYBCiDQAGIdoAYBCiDQAGIdoAYBCiDQAGIdoAYBCiDQAGIdoAYBCiDQAGIdoAYBCiDQAGIdoAYBCiDQAG8Um0CwoKlJSUpLi4OO3ateuMa1wul/Lz85WcnKyRI0dq9erVvhgNAIzik2iPGDFCK1eu1OWXX37WNYWFhdq3b5/WrVunf/zjH3rllVe0f/9+X4wHAMbwSbQTEhLkcDiaXVNcXKxx48YpKChI4eHhSk5O1tq1a30xHgAYI9jfA/zE6XQqNjbWc9vhcOjQoUMtPk9ERGhrjoV2KjIyzN8jAOclYKLdWqqrj8vttlp8HD/EF5eqqmP+HgE4q+Z6FDCvHnE4HDp48KDnttPpVExMjB8nAoDAEzDRHj16tFavXi23262amhqtX79eKSkp/h4LAAKKT6I9Z84cDR06VIcOHdJ9992n1NRUSVJOTo7KysokSRkZGerevbtGjRqlO+64Q3/84x91xRVX+GI8ADCGzbKslm8AB7AL2dPOmrayDSZCoFk1N5s9bQQ0I/a0AQDnRrQBwCBEGwAMQrQBwCBEGwAMQrQBwCBEGwAMQrQBwCBEGwAM4nW0//a3v53x/qVLl7baMACA5nkd7YULF57x/kWLFrXaMACA5p3zetobNmyQJLndbm3cuFE/v1TJ/v371blz57abDgDQxDmjPXPmTElSfX29nnjiCc/9NptNkZGRevLJJ9tuOgBAE+eM9gcffCBJmjZtmubOndvmAwEAzs7rjxv7ebDdbneTrwUF8SIUAPAFr6P91VdfadasWdq5c6fq6+slSZZlyWazafv27W02IADg/3gd7RkzZujmm2/Ws88+q44dO7blTACAs/A62gcOHNDUqVNls9nach4AQDO83oweOXKkSkpK2nIWAMA5eP1Mu76+XpMmTVL//v3VrVu3Jl/jVSUA4BteR/uaa67RNddc05azAADOwetoT5o0qS3nAAB4weto//R29jP59a9/3SrDAACa53W0f3o7+0++//57NTY2Kjo6Wv/5z39afTAAwOm8jvZPb2f/icvl0qJFi7hgFAD40Hm//9xut2vixIn661//6tX63bt3KzMzUykpKcrMzNSePXtOW1NdXa0JEyYoPT1dt9xyi55++mmdOnXqfEcEgHbngi4a8tlnn3n9Zpu8vDxlZWXp/fffV1ZWlnJzc09bs3jxYl199dUqLCzUv//9b3311Vdat27dhYwIAO2K19sjw4YNaxLouro6NTQ0KC8v75zHVldXa9u2bZ5PuUlLS9Ps2bNVU1Oj8PBwzzqbzaYTJ07I7XaroaHBs2cOAPiR19F+/vnnm9zu1KmTrrrqKoWGhp7zWKfTqejoaNntdkk/bq1ERUXJ6XQ2ifaDDz6oyZMna/Dgwaqrq1N2drb69+/v7YgA0O55He3ExERJP16W9fDhw+rWrVurX5J17dq1iouL0+uvv64TJ04oJydHa9eu1ejRo70+R0TEuf8SASIjw/w9AnBevI728ePHNWvWLBUXF+vUqVMKDg5WamqqnnzySYWFNf8D4HA4VFFRIZfLJbvdLpfLpcrKSjkcjibrVqxYoWeffVZBQUEKCwtTUlKSNm3a1KJoV1cfl9ttnXvh/4cf4otLVdUxf48AnFVzPfL6qfKcOXNUV1enwsJClZaWqrCwUHV1dZozZ845j42IiFB8fLyKiookSUVFRYqPj2+yNSJJ3bt31yeffCJJamho0IYNG3Tttdd6OyIAtHs26+ef1NuMQYMGaf369erUqZPnvhMnTmjkyJH6/PPPz3l8eXm5ZsyYoaNHj6pLly4qKChQz549lZOToylTpqh3797at2+f8vLydPjwYblcLg0cOFAzZ85UcLDX/yC4oGfaWdNWtvg4mGfV3GyeaSOgNfdM2+saXnLJJaqpqdHll1/uue/7779XSEiIV8dfffXVWr169Wn3/+Uvf/H8ukePHp5XmAAATud1tMeOHavx48fr3nvvVWxsrA4ePKhly5Zp3LhxbTkfAOBnvI72Aw88oOjoaBUWFqqyslJRUVG6//77iTYA+JDX/xH5zDPP6KqrrtKyZctUXFysZcuW6eqrr9YzzzzTlvMBAH7G62gXFRXp+uuvb3Lf9ddf73lFCACg7XkdbZvNJrfb3eQ+l8t12n0AgLbjdbQTEhL08ssveyLtdrv1yiuvKCEhoc2GAwA01aIPQfjDH/6gwYMHKzY2Vk6nU5GRkVq8eHFbzgcA+Bmvox0TE6O3335bpaWlcjqdcjgc6tOnT6tffwQAcHbev9VQUlBQkPr27au+ffu21TwAgGbwNBkADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADOKzaO/evVuZmZlKSUlRZmam9uzZc8Z1xcXFSk9PV1pamtLT03X48GFfjQgAAa9FHzd2IfLy8pSVlaWMjAy98847ys3N1fLly5usKSsr04IFC/T6668rMjJSx44dU0hIiK9GBICA55Nn2tXV1dq2bZvS0tIkSWlpadq2bZtqamqarFu2bJnGjx+vyMhISVJYWJguueQSX4wIAEbwyTNtp9Op6Oho2e12SZLdbldUVJScTqfCw8M968rLy9W9e3dlZ2ertrZWI0eO1AMPPCCbzeb1Y0VEhLb6/Gh/IiPD/D0CcF58tj3iDZfLpZ07d2rp0qVqaGjQ/fffr9jYWI0ZM8brc1RXH5fbbbX4sfkhvrhUVR3z9wjAWTXXI59sjzgcDlVUVMjlckn6Mc6VlZVyOBxN1sXGxmr06NEKCQlRaGioRowYodLSUl+MCABG8Em0IyIiFB8fr6KiIklSUVGR4uPjm2yNSD/udZeUlMiyLDU2Nmrjxo365S9/6YsRAcAIPnvJ39NPP60VK1YoJSVFK1asUH5+viQpJydHZWVlkqTU1FRFRETo1ltv1ZgxY3TNNddo7NixvhoRAAKezbKslm8AB7AL2dPOmrayDSZCoFk1N5s9bQQ0v+9pAwBaB9EGAIMQbQAwCNEGAIMQbQAwCNEGAIMQbQAwCNEGAIMQbQAwCNEGAIMQbQAwCNEGAIMQbQAwCNEGAIMQbQAwCNEGAIMQbQAwCNEGAIMQbQAwCNEGAIMQbQAwCNEGAIMQbQAwCNEGAIMQbQAwCNEGAIP4LNq7d+9WZmamUlJSlJmZqT179px17bfffqsbbrhBBQUFvhoPAIzgs2jn5eUpKytL77//vrKyspSbm3vGdS6XS3l5eUpOTvbVaABgDJ9Eu7q6Wtu2bVNaWpokKS0tTdu2bVNNTc1pa5csWaLhw4fryiuv9MVoAGCUYF88iNPpVHR0tOx2uyTJbrcrKipKTqdT4eHhnnU7duxQSUmJli9frldfffW8HisiIrRVZkb7FhkZ5u8RgPPik2h7o7GxUU899ZSee+45T9zPR3X1cbndVouP44f44lJVdczfIwBn1VyPfBJth8OhiooKuVwu2e12uVwuVVZWyuFweNZUVVVp3759mjBhgiTp6NGjsixLx48f1+zZs30xJgAEPJ9EOyIiQvHx8SoqKlJGRoaKiooUHx/fZGskNjZWmzZt8tx+5ZVXVFtbq+nTp/tiRAAwgs9ePfL0009rxYoVSklJ0YoVK5Sfny9JysnJUVlZma/GAACj2SzLavkGcAC7kD3trGkr22AiBJpVc7PZ00ZAa25Pm3dEAoBBiDYAGIRoA4BBiDYAGIRoA4BBiDYAGIRoA4BBiDYAGIRoA4BBiDYAGIRoA4BBiDYAGIRoA4BBiDYAGIRoA4BBiDYAGIRoA4BBiDYAGIRoA4BBiDYAGIRoA4BBiDYAGIRoA4BBiDYAGIRoA4BBgn31QLt379aMGTN05MgRXXbZZSooKNCVV17ZZM3ChQtVXFysoKAgdejQQVOnTtWQIUN8NSIABDyfRTsvL09ZWVnKyMjQO++8o9zcXC1fvrzJmj59+mj8+PHq1KmTduzYoTvvvFMlJSXq2LGjr8YEgIDmk+2R6upqbdu2TWlpaZKktLQ0bdu2TTU1NU3WDRkyRJ06dZIkxcXFybIsHTlyxBcjAoARfBJtp9Op6Oho2e12SZLdbldUVJScTudZj1mzZo169OihmJgYX4wIAEbw2fZIS2zevFkvv/yyXnvttRYfGxER2gYTob2JjAzz9wjAefFJtB0OhyoqKuRyuWS32+VyuVRZWSmHw3Ha2i1btuixxx7Tq6++qp49e7b4saqrj8vttlp8HD/EF5eqqmP+HgE4q+Z65JPtkYiICMXHx6uoqEiSVFRUpPj4eIWHhzdZV1paqqlTp2r+/Pnq1auXL0YDAKP47HXaTz/9tFasWKGUlBStWLFC+fn5kqScnByVlZVJkvLz83Xy5Enl5uYqIyNDGRkZ2rlzp69GBICAZ7Msq+V7CQHsQrZHsqatbIOJEGhWzc1mewQBze/bIwCA1kG0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgRBsADEK0AcAgPov27t27lZmZqZSUFGVmZmrPnj2nrXG5XMrPz1dycrJGjhyp1atX+2o8ADBCsK8eKC8vT1lZWcrIyNA777yj3NxcLV++vMmawsJC7du3T+vWrdORI0c0ZswY/frXv1b37t19NSbQprr+IkTBIZf4ewz4wKmGen3/Q0Orn9cn0a6urta2bdu0dOlSSVJaWppmz56tmpoahYeHe9YVFxdr3LhxCgoKUnh4uJKTk7V27Vrdf//9Xj9WUJDtvOfs1rXzeR8Ls1zIn5MLERxyicoWT/fLY8O3ek8sUFBQY6uf1yfRdjqdio6Olt1ulyTZ7XZFRUXJ6XQ2ibbT6VRsbKzntsPh0KFDh1r0WF0vILzzHx9z3sfCLBERoX577N4TC/z22PCttvhzxn9EAoBBfBJth8OhiooKuVwuST/+h2NlZaUcDsdp6w4ePOi57XQ6FRMT44sRAcAIPol2RESE4uPjVVRUJEkqKipSfHx8k60RSRo9erRWr14tt9utmpoarV+/XikpKb4YEQCMYLMsy/LFA5WXl2vGjBk6evSounTpooKCAvXs2VM5OTmaMmWKevfuLZfLpVmzZumzzz6TJOXk5CgzM9MX4wGAEXwWbQDAheM/IgHAIEQbAAxCtAHAIEQbAAxCtC8SSUlJSktLk9vtbnLfrl27/DgV2oPHH39czz//fJP77r33Xq1atcpPE7VvRPsiUltbq3feecffY6CdeeKJJ/Tee+9p69atkqQ33nhDNptNv/vd7/w8Wfvks6v8wf8mTZqkBQsWKDU1VSEhIZ779+7dq9zcXNXU1Cg4OFhTp07V0KFD/TgpTBIWFqbZs2fr8ccf18KFC7Vo0SKtWrVKDz30kA4ePKj6+nqlpqZq4sSJcrvdmjVrljZu3KiQkBBdeumleuONN/z9LRiFaF9Err/+evXq1Ut///vfdc8993juf/TRR3XHHXdo3Lhx+uabb5Sdna333nvvtHesAmczaNAgDRgwQGPHjtXjjz+uJ598Ug8++KAGDBighoYG3Xvvverdu7e6du2qTZs2qbi4WEFBQfrhhx/8Pbpx2B65yDz88MP6y1/+ohMnTkiSLMvS9u3bdfvtt0uSrrnmGsXHx+vLL7/055gw0O9//3vZ7Xbdeuut2rx5s+bMmaOMjAyNGzdOlZWVKi8v1xVXXKFTp05p5syZWrNmjb9HNhLPtC8yPXv21LBhwzzXNgdaS1BQkGw2m9xut2w2m95880116NDhtHXvvvuuNm3apM8//1zz5s3T22+/rcjISD9MbCaeaV+EJk+erFWrVunEiROy2WyKj4/X22+/LenHa8Ts2LFDffv29fOUMFVoaKj69++vJUuWeO5zOp2qqqpSTU2N6urqNGTIED366KMKCwvTd99958dpzcMz7YtQTEyMMjIy9Nprr0mS5s2bp9zcXC1btkzBwcGaO3cu+9m4IPPmzdNzzz2n9PR0SVLnzp31zDPP6OTJk3rqqad06tQpuVwuDR06lCcILcQFowDAIGyPAIBBiDYAGIRoA4BBiDYAGIRoA4BBiDYAGIRoA15666232uTKdXfddZdWr17d6ueVfrz87ueff94m54Z/EG0YJS4uTnv37vX3GIDfEG2gHTh16lRAnw+th2ij1fzrX//SxIkTPbdHjRqlKVOmeG4PGzZM27dvV3l5ue677z4lJiYqJSVFxcXFnjUzZsxQfn6+JkyYoH79+mncuHHat2+fJCk7O1uSlJGRoX79+jU57kz++c9/auTIkUpMTNTEiRNVUVHh+VpcXJz+/ve/a9SoUUpISFB+fr68eXOwZVmaNWuW+vfvr9GjR2vDhg1Nvv9bbrlF/fr104gRI067TvT69euVkZGhG2+8UcnJyfrkk09OO39lZaXS09P117/+VZL0n//8R6mpqUpISNBdd92l8vJyz9qkpCQtWbJE6enp6tu3r06dOqU1a9bo5ptv1sCBA7Vo0aIm53a73VqyZImSk5M1cOBAPfTQQzpy5Igkaf/+/YqLi9Pq1as1fPjwJpfuRYCxgFayb98+q3///pbL5bIOHTpkDR8+3BoyZIjnawkJCdaJEyesoUOHWm+++abV2NhoffXVV1ZiYqL19ddfW5ZlWdOnT7cSExOtrVu3Wo2NjdYjjzxiPfzww57HuO6666w9e/acc5bPP//cSkxMtP73v/9Z9fX11qxZs6ysrKwm55kwYYL1ww8/WAcOHLAGDhxoffzxx82e81//+pcVHx9vLV261GpoaLDeffdd68Ybb7S+//57y7Is68MPP7T27t1rud1ua9OmTVafPn2s//3vf5ZlWdbWrVutG2+80SopKfH8/nzzzTeWZVnWnXfeaf3zn/+09u3bZ40aNcp64403LMuyrG+//da64YYbrJKSEquhocFasmSJlZycbNXX11uWZVk333yzddttt1kHDx606urqrK+//trq27evtXnzZqu+vt569tlnrfj4eOuzzz6zLMuyli1bZo0bN85yOp1WfX299dRTT1lTp061LMuyvvvuO+u6666zHnvsMevEiRNWXV3dOX+P4R8800arueKKK9S5c2dt375dX3zxhQYPHqyoqCiVl5dr8+bN6t+/vz766CNdfvnluv322xUcHKxf/epXSklJ0dq1az3nSU5OVp8+fRQcHKzbbrtN27dvb/EshYWFuv3229WrVy+FhITokUce0Zdffqn9+/d71uTk5KhLly6KjY3VwIEDtWPHjnOeNzw8XPfcc486dOigW2+9VVdddZU++ugjSdLw4cPVo0cP2Ww2JSYmatCgQfriiy8kSW+++aZuv/12DRo0SEFBQYqOjtbVV1/tOe8333yje+65R5MnT1ZmZqYkqbi4WMOGDdOgQYPUoUMH/f73v9fJkye1ZcsWz3F33XWXHA6HOnbsqLVr12r48OEaMGCAQkJC9NBDDyko6P9+xN944w1NnTpVMTExCgkJ0aRJk/T+++832QqZPHmyLr30UnXs2LHFv+fwDa7yh1Y1YMAAbd68WXv37tWAAQMUFham//73v/ryyy+VmJioAwcOqLS0VAkJCZ5jXC6XbrvtNs/tbt26eX7dsWNH1dbWtniOyspK9erVy3O7c+fOuuyyy1RRUaHu3btLUpNrOHfq1MnzwRDNiY6Ols1m89yOjY1VZWWlJOnjjz/WwoULtWfPHrndbp08eVLXXXedpB8vTTps2LCznrewsFA9evRQSkpKk+8hNjbWczsoKEgOh6PJNo/D4WiyPiYmxnP70ksv1WWXXea5ffDgQf3xj39sEvKgoCBVV1d7bv/8eAQmoo1WlZiYqA8++EAHDhzQxIkT1aVLFxUWFmrLli3Kzs72xLytP4QhKipKBw4c8Nyura3VkSNHFB0dfUHnraiokGVZnnA7nU4lJSWpoaFBU6ZMUUFBgUaMGKEOHTrowQcf9OyTOxwOz978mUyaNEmffvqp/vSnP+nFF1+U3W5XVFSUdu3a5VljWZacTmeT7+Hnf4H89K+an9TV1Xn2rKUfg/zss8+qf//+pz3+T/8C+fn5EJjYHkGrGjBggDZt2qSTJ08qJiZGCQkJ+vTTT3XkyBH96le/0vDhw7Vnzx6tWbNGjY2NamxsVGlpaZPYNKdbt25eXTQ/LS1Nb731lrZv366Ghga98MIL6tOnj+dZ9vmqqanR8uXL1djYqPfee0/l5eUaNmyYGhoa1NDQoPDwcAUHB+vjjz/WZ5995jlu7Nixeuutt7Rhwwa53W5VVFQ0+Z47dOigl19+WXV1dZo2bZrcbrduucJeRccAAAGjSURBVOUWffzxx9qwYYMaGxv12muvKSQkRP369TvjbCkpKfroo4/0xRdfqKGhQfPnz5fb7fZ8/Xe/+51eeuklz19mNTU1Wr9+/QX9fsD3iDZa1VVXXaXOnTt7tj9CQ0PVvXt33XjjjbLb7QoNDdXf/vY3FRcXa8iQIRo8eLDmzZunhoYGr84/adIkzZgxQwkJCc2+euQ3v/mNHnroIU2ePFmDBw/Wd999pxdffPGCv78+ffpo7969uummm/TSSy9p/vz56tq1q0JDQ/Xkk0/q4Ycf1oABA1RUVKSkpKQmxz333HOeZ7p33nmnDh482OTcISEhWrBggaqrq/XEE0/oyiuv1PPPP6/Zs2frpptu0ocffqjFixcrJCTkjLNde+21ys3N1aOPPqohQ4aoS5cuTbY77r77biUlJWn8+PHq16+f7rjjDpWWll7w7wl8iw9BAACD8EwbAAzCf0TCWIsXL9af//zn0+7v37+/580pLZWbm6vCwsLT7k9PT9esWbPO65xAa2J7BAAMwvYIABiEaAOAQYg2ABiEaAOAQYg2ABjk/wFFdZiZ+ri4HgAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WG4lWfjE4KFz",
        "colab_type": "text"
      },
      "source": [
        "- Dataset is highly imbalanced"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ut2EwFpLAGvu",
        "colab_type": "code",
        "outputId": "e3844f63-0994-455e-9e86-9dc888bfad73",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        }
      },
      "source": [
        "sns.countplot(x=\"went_on_backorder\", hue=\"potential_issue\", data=df);"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Dk1YafFaAnh_",
        "colab_type": "text"
      },
      "source": [
        "- Almost no backordered product were found with potential issue."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kOACl52H4jLj",
        "colab_type": "code",
        "outputId": "c0293445-bba1-4f34-b665-70e7b30c35bb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 217
        }
      },
      "source": [
        "df['potential_issue'] = df['potential_issue'].astype(str)\n",
        "df['potential_issue'] = df['potential_issue'].map({'No':'0','Yes':'1'},na_action='ignore')\n",
        "\n",
        "df['deck_risk'] = df['deck_risk'].astype(str)\n",
        "df['deck_risk'] = df['deck_risk'].map({'No':0,'Yes':1},na_action='ignore')\n",
        "\n",
        "df['oe_constraint'] = df['oe_constraint'].astype(str)\n",
        "df['oe_constraint'] = df['oe_constraint'].map({'No':0,'Yes':1},na_action='ignore')\n",
        "\n",
        "df['ppap_risk'] = df['ppap_risk'].astype(str)\n",
        "df['ppap_risk'] = df['ppap_risk'].map({'No':0,'Yes':1},na_action='ignore')\n",
        "\n",
        "df['stop_auto_buy'] = df['stop_auto_buy'].astype(str)\n",
        "df['stop_auto_buy'] = df['stop_auto_buy'].map({'No':0,'Yes':1},na_action='ignore')\n",
        "\n",
        "df['rev_stop'] = df['rev_stop'].astype(str)\n",
        "df['rev_stop'] = df['rev_stop'].map({'No':0,'Yes':1})\n",
        "df.head()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>sku</th>\n",
              "      <th>national_inv</th>\n",
              "      <th>lead_time</th>\n",
              "      <th>in_transit_qty</th>\n",
              "      <th>forecast_3_month</th>\n",
              "      <th>forecast_6_month</th>\n",
              "      <th>forecast_9_month</th>\n",
              "      <th>sales_1_month</th>\n",
              "      <th>sales_3_month</th>\n",
              "      <th>sales_6_month</th>\n",
              "      <th>sales_9_month</th>\n",
              "      <th>min_bank</th>\n",
              "      <th>potential_issue</th>\n",
              "      <th>pieces_past_due</th>\n",
              "      <th>perf_6_month_avg</th>\n",
              "      <th>perf_12_month_avg</th>\n",
              "      <th>local_bo_qty</th>\n",
              "      <th>deck_risk</th>\n",
              "      <th>oe_constraint</th>\n",
              "      <th>ppap_risk</th>\n",
              "      <th>stop_auto_buy</th>\n",
              "      <th>rev_stop</th>\n",
              "      <th>went_on_backorder</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1043384</td>\n",
              "      <td>2.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.99</td>\n",
              "      <td>0.99</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1043852</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.13</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1044198</td>\n",
              "      <td>13.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.82</td>\n",
              "      <td>0.87</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>1045098</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>1045867</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.82</td>\n",
              "      <td>0.87</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       sku  national_inv  lead_time  ...  stop_auto_buy  rev_stop  went_on_backorder\n",
              "1  1043384           2.0        9.0  ...              1         0                 No\n",
              "3  1043852           7.0        8.0  ...              1         0                 No\n",
              "5  1044198          13.0        8.0  ...              1         0                 No\n",
              "7  1045098           6.0        2.0  ...              1         0                 No\n",
              "9  1045867           4.0        8.0  ...              1         0                 No\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wd0bNG9zIy2p",
        "colab_type": "code",
        "outputId": "3940bd17-3668-43d2-8d29-793be98d7133",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 577
        }
      },
      "source": [
        "forecast_df = pd.DataFrame(df[['forecast_3_month','forecast_6_month','forecast_9_month']])\n",
        "sns.pairplot(data=forecast_df)\n",
        "plt.show()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAigAAAIxCAYAAABn1EPWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzde3wU5dn4/8/M7G4OJJAFkhAEpSAiX4XHIAYVbCsg0gqGPqggWIwWqKBCKRUCWBG+GIR6eLDlUERBtAKltCCHtin6/FpRAVv5CsqxKFI5JBA2kJBsdndmfn8sGbJkk2zCJrtJrvfrxesVZmd279lcmb32nvu+bsU0TRMhhBBCiCiiRroBQgghhBBXkgRFCCGEEFFHEhQhhBBCRB1JUIQQQggRdSRBEUIIIUTUkQRFCCGEEFGnWSUoCxYsoH///nTr1o3Dhw+HdExhYSE///nPuffee7nvvvv4zW9+U8+tFEIIIYQt0g1oSAMGDGDMmDGMHj065GOys7O5/fbbeeWVVwA4c+ZMfTVPCCGEEJc0qwSld+/eQbd//vnnvPTSS1y8eBGASZMm8f3vf59jx45x+PBhli5dau2bnJzcIG0VQgghmrNmlaAEc+HCBWbPns3y5ctJSUkhPz+fBx54gC1btvDvf/+b1NRUZs2axYEDB2jbti3Tpk2ja9eukW62EEII0aQ1+wRlz549fPvtt4wbN87apigK33zzDYZh8PnnnzN16lR69+5Nbm4uEyZMYPv27RFssRBCCNH0NfsExTRNunXrxu9+97ugj6elpVm3hgYNGsQzzzzDuXPnaN26dUM2UwghhGhWmtUsnmDS09P55ptv2Llzp7Vt7969mKbJzTffTHx8PEeOHAHg008/pVWrVjidzkg1VwghhGgWlOa0mvG8efPIzc3l7NmzOJ1OkpKS2Lp1K3v37uVXv/oV58+fx+v10rFjR5YtW4aqquzbt485c+bg8XiIi4tj1qxZ9OzZM9KnIoQQQjRpzSpBEUIIIUTj0Oxv8QghhBAi+kiCIoQQQoio06xm8RQUFGMYle9oOZ3xuFwlEWhReEj7Iys5OTEsz9NU47Mmcn71K1zxCcFjNNLn1xjIe1S9qmJUelAAm02LdBOuirS/aWvq74+cX+PW1M8vHOQ9qhtJUIQQQggRdSRBEUIIIUTUkQRFCCGugqapmJqKT1EwNRVNk8tqcyWxEF7NapCsEEKEk6apuEq85KzaTb6rlBRnHDOzMnDG29F1I9LNEw2oulgQdSPpnRBC1JEPrA8kgHxXKTmrduOLbLNEBEgshJ/0oAAer16nqXjuMh9FF0rroUVCiMZAN0zrA6lcvqsU3TDl4trMVBcLom7kbwhw2DWGTt1U6+M2v5xJUT20RwjROGiqQoozLuCDKcUZh6YqoMsHU3NSbSyIOpFbPEIIUUc2YGZWBinOOABr3IF882t+JBbCT947IYSoI103cMbbmT+xL7phoqkKtkvbRfMisRB+kqAIIcRV0HUDhUsXU91Ej3B7RORILISX3OIRQgghRNSRBEUIIYQQUUcSFCGEEEJEHUlQhBBCCBF1JEERQgghRNSRBEUIIYQQUUcSFCGEEEJEHUlQhBBCCBF1JEERQgghRNSRBEUIIYQQUafBSt0vWLCAv/71r5w4cYLNmzdzww03VNpn8eLFbNu2DVVVsdvtTJkyhbvuuguA7OxsPv74Y5xOJwCDBw9mwoQJDdV8IYQQQjSgBktQBgwYwJgxYxg9enSV+/Ts2ZPHH3+cuLg4Dh48yCOPPMKOHTuIjY0FYPz48TzyyCMN1WQhhBBCREiDJSi9e/eucZ/y3hKAbt26YZomhYWFtGvXrj6bJoQQQogoE7WrGW/cuJFrr702IDlZuXIl69ato2PHjkydOpUuXbrU6jnbtEkIdzNJTk4M+3PWRbS0o64ae/vDobr4bOrvj5xf3fh8Bq4iNz7dxKYpOBNjsdnqb2hhVTHa1H9/4dAc3yPDMCkqKaPMa2AYJg67RlJCDKqqhHR8VCYou3fvZtGiRbz55pvWtilTppCcnIyqqmzcuJGxY8eyfft2NE0L+XkLCooxDLPS9qsJnDNniup8bLgkJydGRTvqqim0Pxyqi8/G/P7URM6vbuwOjbNFHuav2k2+q5QUZxwzsjJom+jA69EDXj9cgsVoU//9hUNzfI80TeWiV8dVVMaitXusGJ2VlUFSvB1dN6x9q4rRqJvFs2fPHp555hkWL15M586dre2pqamoqr+5w4YNo6SkhNOnT0eqmUIIEVEeHSs5Ach3lTJ/1W4q5CZCRIwPyDtXYiUn4I/RF1btxhfic0RVgrJ3716mTJnCa6+9xk033RTwWF5envXzhx9+iKqqpKamNnQThRAiKuiGYV34y+W7StENo4ojhGg4umES67BVEaOVe4qDqdUtnq+++oqDBw9SUlISsP2BBx6o8dh58+aRm5vL2bNneeyxx0hKSmLr1q2MGzeOSZMm0aNHD+bMmYPb7ea5556zjlu4cCHdunVj+vTpFBQUoCgKCQkJLF26FJstKu9QCSFEvdNUlRRnXMAHQIozDk1VQZduFBFZmqrg9viqiFEF9JqTFMU0zZBSmWXLlrF48WJuvPFGa9ovgKIorF69ug7Nb3jV3eMfOnVTrZ9v88uZUXFfsbHf32wK7Q8HGYPSNMkYFNEc36NwjEEJuQvirbfeYv369dx4441X33IhhBBXxevRaZvoYP7EfuiGgaaqODQCkhMhIkXXDVrYNeKTW5AzsS+GATZVQcMMSE6qE3KCEhsbGzBoVQghRGR5PToKly7kuo5XchMRRXTdAN0/2FUF0KE2IVrtIFnDMKx/kydPZt68eeTn5wdsN2RAlhBCCCHCrNoelP/zf/4PiuIvqFI+VGX9+vXW46ZpoigKBw4cqMcmCiGEEKK5qTZBef/99xuqHUII0eRpmooP/xRMTVWwQcj344UIp8YQi9UmKNdcc4318xtvvMFPfvKTSvusXLmSxx57LPwtE0KIJkTTVFwlXnIqzLqZmZWB84oZDULUt8YSiyEXalu8eHHQ7UuXLg1bY4QQoqnygfWBAP6CVTmrduMf5ipEw6kqFn34kxdTU/EpCqamommRq+da4yyeTz75BPAPmN25cycVy6Z8++23tGjRov5aJ4QQTYRumEGranp1g1hNjapvrqJpqyoWDQNc7ujpWakxQZk1axYAZWVlzJw509quKArJyck8++yz9dc6IYRoIjRVCVpV8+TZYq5NTZR+FNFgqopFVVWC9qzMn9g3IvFZY4LywQcfADBt2jQWLlxY7w0SQoimyAbMzMoI+HY6aUQ6b287wNTRvaJzaXnRJAWLxZlZGaAE71nRDTMi8Rnya1ZMTq6sfVK+yrAQQojgdN0gKdHBhOE9iXXYKCrx8va2A7iK3CGvTSJEOOi6gTPezvyJfQNm8fhMrmrtnHALOUH58ssvmTt3LocOHaKsrAyQOihCCFEbim7SOjGWFyp8c52VleGf4hnpxolmRdeNClWITXTApqnMysqImvgMOUHJzs7m7rvvJicnJ2CxQCGEEKFRNQW7XbV6UdweH3a79ECLhlNT/ZNois+QE5QTJ04wZcoUq7KsEEKI0Gmaittn8vzrOyt1oUdqEKJoXmqqf6KjRFV8hpwa3XPPPezYsaM+2yKEEE2WqSn4dKPKQYhC1Lea6p94oyw+Q+5BKSsr46mnnuLWW2+lbdu2AY/J7B4hhKiapqn4dFCV4NM7ZZCsaAhX1j/pdq2T4f27+hMQVaXgfGlUxWfICcr111/P9ddfX6cXWbBgAX/96185ceIEmzdv5oYbbqi0j67rzJs3jw8//BBFURg/fjwPPvhgjY8JIUQ0MwzT6lZ3JsYyeWQ6i9buCehil0GyoiFUrH/S7VonP/5hd15bdzkWp43pzZSHe/Hqms+iIj5DTlCeeuqpOr/IgAEDGDNmDKNHj65yn82bN3P8+HFyc3MpLCxk2LBh3HHHHXTo0KHax4QQIpqdv1hmJSfD+3fFYdd4ftwd2GwqJ/KLcCbGoHt8kW6maAYq1j8Z3r+rlZyA/1bO+u2HeWzIzTw/7g5UVeF8sZukRAe6JzLpc61qr+zatYuNGzeSn59PSkoKmZmZ3H777TUe17t37xr32bZtGw8++CCqqtK6dWsGDhzIX/7yF8aOHVvtY0IIEc28PgNnYmylb6szHs0gtXU8SIl70UCurH9y5e2eoXd14bnlH1+O0awMNCBSERryINn169fzs5/9jOTkZO655x5SUlKYOnUqv//978PSkFOnTtG+fXvr/2lpaZw+fbrGx4QQIlppmooCjBx0Q6Vvq/Pf2k2s3SZr8IgGpesGim5Yt3vKBetRmb9qN54Ijo0KuQdlxYoVrFy5khtvvNHa9oMf/IBJkybx0EMP1Uvjwq1Nm4SwP2dycmLYn7MuoqUdddXY2x8O1cVnU39/muL5GYbJN6cv8Lu/HCBryE1BZ0eYCqQ0onOvKkab4u8v3KLtPTIMk2cf78O8N3eR7yqlVYIjaIyiKBFre8gJSmFhIV26dAnY1rlzZ86fPx+WhqSlpXHy5El69uwJBPaaVPdYbRQUFGMEmS51NW/+mTNFdT42XJKTE6OiHXXVFNofDtXFZ2N+f2rSVM/P1FTr4j+kX+egsyMwzXo/93B+uASL0ab6+wunaH2PWsXamD+xH2fPl5IQ54i6GA35Fk+vXr148cUXKS31N76kpISFCxeSnp4elgYOHjyY9evXYxgG586dY/v27dx77701PiaEENGo4j3+d/58kEkj0q0u9YqzI4SIFF030A2D6b/ZwWvr9kRdjIb82nPmzGHKlCn07t2bVq1acf78edLT03n55ZdrPHbevHnk5uZy9uxZHnvsMZKSkti6dSvjxo1j0qRJ9OjRg8zMTD7//HMGDRoEwJNPPknHjh0Bqn1MCCGiUcUpnYeOu3h72wEmDO9JausWOOwqdpDxJyLi1EtxWh6jYzN70CrBQdtWcdgwIxqjimmatRoBc+rUKc6cOUNKSgrt2rWrr3bVi+q60IdO3VTr59v8cmZUdNtFa/dhqJpC+8NBbvE0DjWtZVJxvyvLik8akc7mD48yflgPlAa68Mstnsir7/co1JgMRnVonDhzMaA2z+SR6VyT3AKjgaYXVxWjte69SUxMRFX9d4by8vIASE1NvYqmCSFE41DTWiYV6bpBm0QHL0zoy7kLbs4Xe9j84VEeHnSjFGYTYVObmAxG0U2ciTEBCwQ6E2NQoqCyccgJyscff8wvf/lLTp48ScVOF0VROHDgQL00TgghoklVa5lUtZia16OT0iYBVQFnYgzjh/Wo1bdbIWpS25i8kq4btLBrXJuaWKcemPoUcoIya9YsJk6cyA9/+ENiY2Prs01CCBGVDMPEmRjL2MweJMbbKSrxsuGDI+iGWeXFVFUVFN3wP66b0nMiwkqvQ0xWeg7dQIGoi9FaLRb43//932iaVp/tEUKIqKRpKqYCY+7rXul+vcOuNtj9eiEqirFrQWMyxq41+iUUQp5mnJWVxYoVK6jlmFohhGgSfEBeQan1QQD+7vRFa/dgSG4iIkQ3zKAxqQcZcN/YhNyDMmjQIH7yk5/w29/+FqfTGfDY+++/H/aGCSFENNENE0UhaLVNn2FITRMRET7dCB6TeuOPyZDbP2nSJHr37s3gwYNlDIoQotnRVAW3xxe02qamKhAFsx5E86OpahUxqYLeuLv2Qk5Qvv32WzZu3GhNMRZCiOZC01RMTSG1dTyTR6YH3O+fdanaZuP+KBCNVYxdYUZWBvMrTDOekZWBQwNvIw/KkBOUAQMGsHPnTu688876bI8QQkSVinUmnImxTHigB/Mn9rOmZDo0/3RiIRqa3aFRUqZj0xRemNAXwzDRNIVYu4rH3bgHyEItEhSPx8OECRPo3bs3bdq0CXhs4cKFYW+YEEI0tGAVOcvrTDgTYxlzX3cMQ2HGkh11KoolRF0Ei0uAc8UeXlh5uedkysO92Pj3f/srFUeywWEScoLStWtXunbtWp9tEUKIiCi/heMq8lSqyJnYwo4zMZYf/7A7Hq9eacZEbYpiCVEb1cWlMzHGSk7AH4uvrvmMpx+6pVY1UKJZyOfw1FNP1bjP8uXLGT9+/FU1SAghGlL5LRxXkZulG/ZWSj5efLIfk0em8/zrnzDl4V5BZ0w0lQ8EET1qisucif2CxmLbVk1n0HZYR7wuW7YsnE8nhBD1rvwWTqzDFvSC7/UZFJV4yHeVUlTitZajL2fN4hEijGqKS8Mwg8ai3a42mWQ5rAmKFHETQjQ2umFWm3ycPFvM+WIPKc44NnxwhEkj0q39yrvbm8oHgogeNcWlaZpMHhkYi5NHpmPX1CYzHiqsf1eKIt8ihBCNi6YqAcnHa+v2BNzrX7phL4D12NvbDjBheE/at03ArqlomE3mA0FEj5ricv37hxl8Z6dKqxDThGJREn8hRLNmA2ZmZZCzanel5EPVwFXkJt9VytvbDjA2swetEhy0bRWHDRNd16X+iagXNcXl3n+f5T95xQzv35VYh/+Y+FgbehOa8h7WBKW6Wzxff/012dnZFBYWkpSUxIIFC+jUqVPAPtOmTePQoUPW/w8dOsTixYsZMGAAv/71r3n33XdJSUkBoFevXsyePTuczRdCNEO6buCMtzN/Yt8rlpvXUVCtD4lDx12s2LTv0i0d6TUR9SvUuMxZtdvqVVGawMDYisKaoPTu3bvKx2bPns2oUaPIzMxk06ZNPPfcc6xevTpgn4r1VA4ePMijjz7KXXfdZW0bNmwY06dPD2eThRCiyuXmq/6QkORE1L/mHpchDZI1DINz585Z/z906BDbt2/nzJkzAfu9/vrrQY8vKChg//79DBkyBIAhQ4awf//+gOe80h/+8AeGDh2Kw+EIpYlCiCbKXwtCxacomJqKpjXschu6bqDoBjbTRNGNJvchICqLdMyFojnEZY09KJ999hkTJkzgwoULPPjgg/Tq1Yvly5fj8/koKChg+fLl3HrrrdU+x6lTp0hNTUXTNAA0TSMlJYVTp07RunXrSvt7PB42b97MqlWrArZv3bqVHTt2kJyczNNPP016enotTlUI0dhULDN/NZVbg1XibIoXdHH1whVzdXldidFANSYoCxcu5IUXXkBVVZ588kluv/12tm3bBvgLs/3P//wPb7/9dlgbtX37dtq3b0/37t2tbSNHjuSJJ57Abrfz0UcfMXHiRLZt24bT6Qz5edu0SQhrOwGSkxPD/px1ES3tqKvG3v5wqC4+m/r7U9X5uYrc5Kz6qFKRqpcmf5fk1i2s/QzD5PzFMrw+A7tNpVWLGNRLtUkMw+Sb0xeY9+Yu6wPn2cf7cF27ltY+9a2p/P6qitHGen7B4ub8xbKQYq62qnuPoiFGo1GNCcpXX33FwIEDMU0TTdMYOHCg9dijjz7KG2+8UeOLpKWlkZeXh67raJqGruvk5+eTlpYWdP8NGzYwfPjwgG3JycnWz3379iUtLY0jR46QkZFR4+uXKygoxjAqDyK6mj+uM2eK6nxsuCQnJ0ZFO+qqKbQ/HKqLz8b8/tSkuvPzKUrQIlVlZTr53ov+Cq6qitvr4/nXdwb9xmtqqnXhLz9+3pu7/OXpG+AbaqR/f+FMHoLFaKTPry40TUVHwasbnDxbzNrcw7iK3MzMyqBFbPDCaO4yH2fcdTvPmt6jSMdopFUVozXeWCuvbaIoCp07dw4YE6KqKj5fzSsmtmnThu7du7NlyxYAtmzZQvfu3YPe3jl9+jT/+te/GDp0aMD2vLw86+cDBw5w4sQJvvOd79T42kKIxqu8FkRFKc44TExmLPmI8fPfJ3vJDlxFZTgTY4HL33jLr0zlBa8qKi9PL5qf8ls42Ut28NMX32fphr38+IfdcSbGkrNqN6qqNni1YInR4GpMUDp37syxY8cAeO+99wIe27t3Lx06dAjphZ5//nneeecd7r33Xt555x3mzJkDwLhx49i3b5+135/+9CfuvvtuWrVqFXD8K6+8wpAhQ7j//vt59tlnWbhwYUCvihCi6SmvBXFl5dY33vsi4NvmorV7GN7/8mKmFS/uVSU5Up6+eSovIV8xfl5b54+ffFcpKGbQmKvPomESo8HV+J4vWbKEFi2C33ez2Ww8++yzIb1Qly5dWL9+faXtV878mTBhQtDjFyxYENLrCCGajmDTKVFg15d5Afvlu0pJjLdb/7cu7roZUPCq4i0gG0iRtWaoqt6KxHi7P0kwafApvBKjwdWYoFQ3CPW//uu/Av4/dOhQNm/efPWtEkKIS66sBWFq/i74ih8yKc443B6f9XPFi3tzqRkhQlPeWxEsfqy4qaL+SH2RGA0urJO7v/3223A+nRBCVBLsts+srAy+074ly2cMYP7EvpWmhDaHmhEiNFXdNvxO+5b1PpW4OhKjlcligUKIRqXKb5sevcG+8YrGq7r4EdFFFgsUQjQ6Dd0FL5oWiZ/GIfrq9wohhBCi2QtrglLdasZCCBGqxrAWioh+EkeNW8i/raoqxq5cudL6ee7cuVffIiFEs1ZeSKu8ENvyjfsoM0x0+ZARtXBlHM1Y8hGuEm+N8SNJTfQI+Z1fvHhx0O1Lly61fr6y+qsQQtRWxUJa3a51MvSuLjy77GPG1eJDRohgBdkqVhgOpq5JjagfNQ6S/eSTTwAwDIOdO3cG3Mb59ttvqyziJoQQdVGxkNbw/l15bd2eSh8y8yf2ReYMiupUVz6+qg++qpIaibfIqDFBmTVrFgBlZWXMnDnT2q4oCm3btg25kqwQQoTCYVfJmdCXpMQYbFrwxQKr+5ARAqouyFZeYTiYUJIau0PDo4NuGGiqikMDr0xRrhc1/o1/8MEHAEybNo2FCxfWe4OEEM2XpqkUFnv4n7Wfke8qZfbYPrX+kBEC6lY+vqakxu7QOFvkYX6F55yRlUHbRIckKfUg5C8hVyYnO3fuRNM0brvttrA3SgjRPJmawrkLbqY83IuiEi8ffX6SySPTWbR2j6xRImqlLuXjq0tq0FR0FAqLLsfnhg+OMH/VbuZP7Ce3gOpByAnKI488wpQpU7j11ltZvnw5q1atQtM0Ro8ezRNPPFGfbRRCNAOapuIq8rB0w17rw2HSiHT+95//Ye5P7wTArqnYMKUMuAhJbQuyVZXUAFz06nhKvJXi8+1tB+SWYz0JeWjykSNHuOWWWwBYv349q1ev5ve//z1r166tt8YJIZqPYAMUX1u3h77/1Z5TZ4s54ypBN2SNElG/gq2Jo6OQd64kaHyOHHSD/xaQCLuQkz7DMFAUhePHj2OaJtdffz0A58+fr7fGCSEaB01T8cFVrcRa1QDFtLYJqAq4itwy9qQZC0eM1ZXPMEiIdwSNz/ZtE7DbFXxyzzHsQk5Qbr31VubOncuZM2e45557ADh+/DhOp7PeGieEiH7ltSOuvG9f25VhywcoOhNjGd6/K4nxdtweHyVuL/ExdpISYmXsSTMVrhirK1VVaBFrp89NqQy47ToS4+0UlXh5/9NvsNlUTK/06tWHkG/xzJ8/n5YtW9KtWzeeeuopAL766ivGjBlTb40TQkS/uhTECsYGPD/udsbc150Vm/YxY8lHLN2wlzKPjlfXsWuq3N5ppsIVY3Vl0xRiYzVG3NPNis0Vm/Yx4p5u2FRF4rKehNyD4nQ6+fnPfx6w7fvf/37IL/T111+TnZ1NYWEhSUlJLFiwgE6dOgXs8+tf/5p3332XlJQUAHr16sXs2bMBKC0tZcaMGXz55Zdomsb06dO5++67Q359IUT9qE1BrGDd9Nbz6AaxDhuL1u4M+CB6dc1n5Ezsi4asOttc1aXoWm1VdwtJ0U1MFF5869OA2HzxrU9lBk89qtXv9sCBA/zzn//E5XIFVJSdPHlyjcfOnj2bUaNGkZmZyaZNm3juuedYvXp1pf2GDRvG9OnTK21/4403SEhI4G9/+xvHjh1j9OjR5ObmSiVbISKs6toRKj7DCEhEgnXTt2x5+dunrhtBP4hM018YSzRPtS26VtvxKlXdQkpKdKDo/lljhqoGjU3DMNHCdaIiQMi3eNatW8fDDz/Mzp07ef311zl8+DArV67k+PHjNR5bUFDA/v37GTJkCABDhgxh//79nDt3LuSG/vnPf2bEiBEAdOrUiZtvvpl//OMfIR8vhKgf5bUjUpxxAFbxquUb9wasZ+JTlKDd9GfPl1prnWiqaj1PuRRnHDJJonkLFmNWfZIr1HY9HX8yEzw2vz55wTpWVQgamzKDp/6E3IOyYsUKVqxYQe/evbnttttYvHgxf//739m2bVuNx546dYrU1FQ0zZ9nappGSkoKp06donXr1gH7bt26lR07dpCcnMzTTz9Neno6ACdPnuSaa66x9ktLS+P06dOhNh+ANm0SarV/KJKTE8P+nHURLe2oq8be/nCoLj6j/f1JSjJ5afJ38fr8dSd++6e97PoyD7h8sZ8z/o6g30BL3F5iWsbSJimek2eLKxVme/bxPrRNikdtxB8E0f77C1VVMdoQ51cxxuw2lVYtYoLGhKvITc6qjyolGy9N/i7JrQN73A3D5JvTF/D6gvfcJcQ7rGPbtojh2cf7MO/NXVZsTh6ZTplPp33bhBrjs6nEQEMKOUEpKCigd+/eAKiqimEYfO973+OZZ54JW2NGjhzJE088gd1u56OPPmLixIls27YtbDOFCgqKMYzK3YFXEzhnzhRdTZPCIjk5MSraUVdNof3hUF18Npb3RwF8imIlJ+XyXaXYNDVoN31cjA2vT+dsYQmzl3+CMzGWsZk9rFk8LVvYKSgobuAzCZ9I//7C+cEYLEYb+vwUwOfTKXB7gz7uU4Kv3+Qu83HGHdhOU1OZ9+Yu5o6/M2hsJsY5rGN9bi8tW9iZMLwnsQ4bRSVeVm89gKvI7V9MsJpbSJGOgWhXVYyGnKC0a9eOb7/9lg4dOtCpUyfef/99nE4ndru9xmPT0tLIy8tD13U0TUPXdfLz80lLS7uikcnWz3379iUtLY0jR46QkZFB+/btOXHihNXjcurUKfr06RNq84UQDeTK6cLOljG0iLVjtymVyohPGpHOG+99wfhhPdEN/7fY8m+85ZbPGOU0MFIAACAASURBVCBVOkXIQh2vomkqhqYw96d3oqoKc8ffycotX7Dryzyrd8RmUwKO9XgN5qzYVek1pZJs/Qj5PR07dixHjx6lQ4cOTJw4kcmTJ+P1eq3VjqvTpk0bunfvzpYtW8jMzGTLli1079690u2dvLw8UlNTAf+A3BMnTvCd73wHgMGDB7Nu3Tp69OjBsWPH2LdvHy+//HJtzlUI0QAcmsL8J/tyodjL/LcCk5HWrWKs3pGiEi9vbzvAoeMuxt5v1mn1WSGuVNN6Oj78t3ZMBc4UlPLKu/+y9ps+5jZG3tONM4VuVm89wM9Gpges/SQx2rAUs+J0nFrweDx4vd6QZ9EcPXqU7OxsLly4QMuWLVmwYAGdO3dm3LhxTJo0iR49ejB9+nS+/PJLVFXFbrczadIkvve97wFQUlJCdnY2Bw4cQFVVnnnmGQYOHFirNlfXhT506qZaPRfA5pczo6LbrrF3HzaF9odDU7jFUz5A0VXkttYsKZfijGP22DuYs+KTStvnT+yLjeCzfBqqGFd9ifTvr6nd4glFVdPZK8bX7LF9gsbo2Mwe5KzaTYozjhef7IdmXl77qa4F46LxPYomV32LZ8eOHVxzzTVWj4bD4eDEiROcPHmSvn371nh8ly5dWL9+faXtr7/+uvXzggULqjw+Pj6e1157LdTmCiEioLyg1pSHewVc+Ltd62R4/65omsKc8XeyqkJX+rOP97GmgdZ29Vkhggm2SKCpqQEzdWIdNuvn8vhMjLfjbBlLn5tSGTXoxoDkpPx5JUYbTsgJyty5c3nnnXcCtsXHxzN37lz++te/hr1hQojGoeK3VS4V1DJMk9lj+xDrsOHTDeJibSxc/c+Ab53jf9QTTJO2SfHWINjarj4rRHWCxWa58hhNiHeQEOcISJpnZmXQOtGB11M5AiVGG06tZvGUV3gtl5KSwpkzZ8LeKCFE43Bll/fssX3oc1MqqqIELEs/eWQ6zsTYgEGwORP7oupGo54+LKJXsNgsHz/S7VpnpRidNCKdwiIPh467yFm12z8zJ9In0cyFXKitY8eOfPLJJwHbdu3aRYcOHcLeKCFE43DlGilrcw/z2JCbeXXNZwF1KBat3cPw/l2t4/wVOCPRYtFcBIvNySPTSXHGMbx/10ox+tq6yzFaXkZfRFbIPShPPfUUTz/9NA888AAdO3bkP//5D3/84x/Jycmpz/YJIaLYlWukHDruoqjUE7QORWL85ZIEKc44bKoiSxOLemMEic3VWw/wwoS+VS6pUB6jMjMnOoScoAwcOJA333yTP/zhD/z973+nXbt2rFixgp49e9Zn+4QQUSzGrlljTYpKvGz44AjFJZ6gUzHdHp/186ysDFn8T9QbTVPxGSZ9bkplwG3XWdPa3//0G04XXKRtUnzQGC0q8QZMS5b4jKxa1Zbp2bOnJCRCCADsDo1zxWWVxpoktnAw5eFeVhd6ijOO7EdvA+C32QOwa6o/OZGZD6Ke6Cj8+eOvGHFPN2sF4vI43PbR1wBMH3MbC1YHPtaqhYMXJ/aT+IwSIScoHo+HxYsXs2XLFgoLC/nXv/7Fjh07OHbsGI888kh9tlEI0YBCWQlW01RKvQYvrNxdaazJ0w/dwjt/PsjYzB60SnDQumUsF91e4mNsxNlVvB5dvpmKOqspPjVNxa0bdP9OWys5AX98vvjWp1adk6ISD3PG3wEm2O0qdk0F3UDXJT6jRciDZHNycjh8+DAvvfQSiuIf29y1a1fWrFlTb40TQjSskFeC1VR03Qx6H99h1zh03MWKTfuIsWuoKiTG2YlRlaDTNoUIVUjxqanohsm1qQlVjjNJccbx8KAbcdhVHHYVO6B7fNJrEmVC7kHZvn07ubm5xMfHo6r+YEhNTSUvL6+GI4UQjYUPWJN7MKAc/Zrcg4wf1sOacumItXH2fBmuInfQ+/htWsXyq0l34UyM8V/4ff6LvqQm4mqVz8ypuKCkq8hNUqIDdP9tx4KiMnJW7WZsZo+g8elseenYFnYUic2oFnKCYrfb0fXAX+O5c+dISkoKe6OEEBGiwNC7uvDauj0B65NomoJx6c+/zGtaHxKTRqRX2ndt7iH2/vusv9qmfCMVYaJpKl5gxqO3YZgEjB8pLzfv0S9PLd7wwZFK8TlpRDqvvvuZtQKxiG4hJyiDBw9m+vTpzJgxA4D8/HxycnK477776q1xQogGZirWBR38XeILVn/KvCfuJEZT0XUjYNXht7cdsL7Jtm4ZyyuXLv4yC0KEi6ap6Ci4dYOTZ4uxaSq//v3/C4jR8sJq5bEJ/mnF5fHZKS2RE2eKeXvbAYnPRiTkMShTpkyhQ4cO3H///Vy4cIF7772XlJQUnnzyyfpsnxCiARlm8HElZV4dHwo+RUFTVfrc5F91vLzq5qtrPsNmU5k6uhfzJ/Zt9Av8iehQPuYke8kOfvri+yzdsJe2SXGVYtSZGIu/YonC7LF96HatE8AaCwVwbWpLic9GJqQeFF3XWbp0Kb/4xS+YOXMm586dw+l0WoNlhRBNg6pUXk6+z02p6LrJjCU7rK7yGVkZANbaJTOyMoixKXh8pqxPIsLmymqw+a5SThdcDIjRbtc6GXNfd2Yu+Shguvvqrf7ekuxHbwMFbJgopsRnYxJSgqJpGu+++y5PP/00AK1bt67XRgkh6pfdoaGjYBgmPt1EVRVsmv8Lx5zxd3C64CJrcw/jKnKTNeRmVm35ImDg7Nrcg4wf1pOf3G+gqSoxdgWP2xfhsxKNkd2h4TXAZ5ioioKmgYKCXVO46PZZa+eUrzbs0w2eG3s7c1fsJN9VyshBN/DeP44GxOd7/zjKMz/ujQLY7Qqm15Aek0Yo5DEow4YNY82aNYwePbo+2yOEqGd2h8YFt4+LpV5eeudf1rfOn4+6lbZJsRSXegF4esQtnC8uw6frlQbOThqRDoqJzTRB15HZw6Iu/LNuPFYvSXnvR2yMRpzDRlyMjT43pTL0ri5s/vAoA267jlYJDhw2lYVP98PrNVG1ygO7J41IR1FMFJ+BT2Kz0Qp5DMrevXvJycmhf//+jBo1itGjR1v/hBCNh0eH/HMlVnIC/q7zV979Fx6vwYqNX7B0w17OF5cRF2MjPsZeaeDsa+v2gCm3eMXV8RqVb+EsWruHsjKDvHMlGKbJT+6/mc0fHmXoXV1YsWkf03+zg2eXfUxhkQeHStCB3RKfTUPIPSgPPfQQDz30UJ1f6OuvvyY7O5vCwkKSkpJYsGABnTp1Cthn8eLFbNu2DVVVsdvtTJkyhbvuuguA7OxsPv74Y5xO/+CnwYMHM2HChDq3R4jmSjcMYh22oINhi0o8/PiH3Xl72wEWrd1DzsS+FBaXBd3XMEy0hmy4aHJ8VSza52wZg7tMo6jEX4F4wG3XVUpCclbt5sUn+1W58J9pmkiK0riFnKD86Ec/uqoXmj17NqNGjSIzM5NNmzbx3HPPsXr16oB9evbsyeOPP05cXBwHDx7kkUceYceOHcTGxgIwfvx4KasvxFXSVBW3xxe0iNX5Yg8rNu2zyoF7vQYF54MXZFNVZJ6muCqqWnlQdoozjtMFF2mfnEBxiZcTZ4ppleAIPrvMo2NeOubK55BJHI1fyLd4ADZs2MCYMWO49957GTNmDBs2bAjpuIKCAvbv38+QIUMAGDJkCPv37+fcuXMB+911113ExcUB0K1bN0zTpLCwsDZNFELUIMaucE1KAjOyMkhx+v/eyhdL2/3lqYBy4GfPXy54VXHfmY9l1G6lUSGCiLFrQePwo89PoioKC1Z/ytrcw7RsEWPtUy7FGYeiKpR5fJXis3yMlGjcQr7GLF26lI0bN/L444/Tvn17Tp48yYoVK8jPz6/xVsupU6dITU1F0/wdwpqmkZKSwqlTp6qcEbRx40auvfZa2rVrZ21buXIl69ato2PHjkydOpUuXbqE2nwhBP66EiUeHQWFtVeUtF/3t0MMuO069v77LG6PjxmPZrD2bwcDCl6VL/7nlZGHIgy8XiNoHA6+oxOKglUQcMMHhyutPjwzK4OC86V4vDp/+eRYwHNs/vAo44f1jPTpiasUcoKyfv163n77ba655hprW79+/XjkkUfCPhZk9+7dLFq0iDfffNPaNmXKFJKTk1FVlY0bNzJ27Fi2b99uJT2haNMmIaztBEhOTgz7c9ZFtLSjrhp7+8OhuvgM5f0xDJPzF8swDBPDMDEvrdLaqkUMqqrg8xmcK3KDYWJisuvLPHZ9GbiW1n/f3ZWZWRlcdHvZ+tFXPDzoRr4+ecEqeJX96G2s+5u/lP1Lk79LcusWV33eoZ5fY9ZUzq+qGA12fjXFI0C+qyRoHD429GYUxV90bW3uYbZ/+h/+k1fMhOE9aZ+cwDenikhsYWfphr08+eB/cf93u7Bo7Z6A5CUpwYHDET39fE0lBhpSyL+90tLSSr0dSUlJuN3uGo9NS0sjLy8PXdfRNA1d18nPzyctLa3Svnv27OGZZ55hyZIldO7c2dqemppq/Txs2DDmz5/P6dOnAxKmmhQUFGMYlbv9riZwzpwpqvOx4ZKcnBgV7airptD+cKguPmt6f8orbq7JPVhpyuXMrAzatorhzPky5l9aQ2fKw72qXOjPMAx+9urfSXHG8cgPujN/Yj+8Ph3dgD/9f0fY/ul/ACgr0znjvvrfW2P//dck0ucXzg/GYDEa7PxqikerkqumBo3Dc+fdzFz6UaWia3abRkmplxWb9jF/Yj9cRW4Wr/+cyQ/fQs7EfhiGiU1TiLGrnD8fOGYlkiIdA9GuqhgNeQzKXXfdxS9+8Qu++uor3G43R48eJTs7m379+tV4bJs2bejevTtbtmwBYMuWLXTv3r1SwrN3716mTJnCa6+9xk033RTwWMVVkz/88ENUVQ1IWoRozsorbgab7bAm9yBlXpP5l6ZzDu/flZVbvqg8riQrg11fnOLYqWJSnHFMebgXhunvbXlu+Sc8+asPrOQkxRmHiRm4zL0Ql1QXjzmrduPDn8RomsLMK8agTB6Zzltb91v7L1q7hymjejE2swebPzxKYXEZM7IyiHWozJ/Yl6mjexFj07BjYjMN8OmUXarlIxq3antQ3nnnHWvWzOOPP86bb77J/fffb/WE/OAHP+CXv/xlSC/0/PPPk52dzZIlS2jZsiULFiwAYNy4cUyaNIkePXowZ84c3G43zz33nHXcwoUL6datG9OnT6egoABFUUhISGDp0qXYbNHTfSdEJOmGaQ1urfhttNu1Tobe1QWvT7e2J8bbKSzyoCgw96d3YhgmBedLQYGbOrclsYWduePv5K87v2ZIv87YgZlZGQHFtCaNSOeN975g/LAeMpVTVFJVPII/6UAB10UvOat2kzOxrzV+xNkylj+8f9iqGltU4mXDB0dwXXCzYtM+/62bxBg01V9lVlMVYlTFv4hlhM5V1J9qP+FfffVVK0EZNWoUn332GS+++CIulwun04mqhv7tqUuXLqxfv77S9tdff936ubpZQatWrQr5tYRobrRL0zWLSrwBXeZj7uuOx6vjcGjMHtuHWIcNZ2Is4//7Zha89c+A6p1JCTF4fQZen8n5i24G9rkOh6bg9egktrAHDEJ8e9sBDh138ZP7b5bZPKKSquIR/L0kmAo5l243qqqC3XYpzTXhB307VYrNlNZxjM3sQVKiP0ZLfQaKquA6X0pivIMWdk1K2TdB1V5bOnbsyIsvvsj111+Pz+djw4YNmGble+QPPPBAvTVQCFEzG/5ejjW5B5k0Ip3NHx7loXtuQFNU3vvHUYZ973qWbtgbcNF3JsZasyQWrd3Dz0b2Crjv7/b4aBF76RJhwopN+yp90GiqArpM5xSBrozHimNQnh93O4Zp4kyMZdyPbib/XGmNsfn0Q7fw/qffkNo6jhdWBpbFL/X4iI+1SU2eJkgxg2Ucl3z99desWLGCkydPsmvXLm699dbKT6AolQquRavqBiEOnbqp1s+3+eXMqBj41NgHYDWF9ofD1QySBf89fR/+mRKg4PUa6IZ/Mb/ylYjLpTjjrGJs5X416S6eee1D6/EJw3vSMTURVTesQY8Vb/MEDHa8Co3991+TSJ9fJAbJwuV4RAFMhfK6aT7DIM5hw+MzME3TWoW4XLDYXDqtP6qmcPJMMWtzD3PouMvat2KcRqtIx0C0qypGq+1B+c53vsMLL7wAwKOPPspbb70V/pYJIcJC1w1smorXMNC9Jq6iMs4Xe0hpHRd0HEBivN36f4ozjoQ4B92udXLouIt8VymxDhuG4R9Jr+sGzng78yf2RTdMNFXBdmm7EMHoumGNT9I0lYsenbxzJSQlxoIJb7z3BcO+d31IsXn63EXmrNhljX8qv8V4ZZyKpiXk36kkJ0I0AjaVoiIvb7z3BeeLPbRKcBAfY+NH3+scsFuKMw63x2f9PGlEOqu2fMHw/l0DHrepl4fA6rqBohvYTBNFl+XrRS1oKq6iMpZu2MuyDXs5caaYrCE34UyMpc9NgbMxr4zNySPTWZt7GLi8EGB1cSqaDhnfJkQTERNnp8xrVFl7AuBPf//K+v9Ft5f5E/sGDHod9r3rL48DaBmDhim39sVV8+kmi9buwZkYy49/2L1SbP733dfz5nv7cRW5mZmVQXycneUzBqCqKr96+5/WLR243MMicdr0SYIiRCNVfo8/NkbD7TG46PZ/66yq9sS8J+7ku+kdSGzhIO9ciVV5s1yKM45kZxzzJ/bDpikgvSSijjRNhUs1cry6iWH4Vxwem9kjaGxOGN6TCcN70jLBAQpk/9o/Zmr22D64igKLgfrjNJ6cif2wS5w2aXLbTohGqHzQ6rf5RZxxuZmxeAfj579f7cqvrqIyCovL8PoMVm89ELRQW6xdRdF1dI9PLvqiTjRNpcw0uej28u2ZYmYu2cGxU0WkOOOqrIsS67BZq2efPlNi7bM297B/mnGFOJ31WAZ2TFSJ0yZPelCEaGTsDg2PDrEOjZapLclevCPggl5VGfvzxR6ua5eIT9cDFgDslOYfQR9nV/Fc6oURorbK47LMMHDYNUwDq5eufEVst8cXNDaLSrzku0oxgbiYy+urHTruYvXWA8z96Z2oCthU1X87R5KSZkF6UIRoROwOjbNFHmYs2cEfPjiCicnTD93Ckmn9WZY9gDH3defD//dtpfLhk0ak8/6n31Bw3k35n335AoCaqhKj+guyCVEXFePy5d99Ronba9U6+b8/vcPqBbm2XcugsbnhgyOkOOM4dbaYmCsW+HMVuTl1thibqoKuS3LSjEgPihCNiMeAtbkHefqhW2jXpgW6brJlx1fs+jLPGjTYq3sKumkwYXhP2rVuwX/yi9n8ob9Y26ot+xn/ox6A/8NhRlYGDg28Hrnoi7rzGFhrPU0emQ4oKIrClFG9WLn5i4D4bNMqlqcfugWHXSMx3sGitXtwFbmZ8nAvVm3Zz89HX+4BvFy4TQbCNkeSoAjRSMTF2ynx6Ay9qwubPzzKgNuuo1WCg6whN5MY72D7p/9h0do9TBjeE5umMmfFLpbPGECntJaMuKcbv/3jPlxFblq2cLAsewA2TSHOocnCauKqlJX5x4Hku0oZfW83nC1jyCu4SKzDhtvj48GBN1BY5OHQcZcVn16fyS9/+wnLZwxg6uhbcRW5efO9L3EVudFUhZ+N7GWtuWOzKcTY5PZjcyQJihCNgN2hXfr2qLD5w6MB04j73JTKT+6/mXvv6ITrQhlJCTG4PbrVje5wqPx8/j+sgbCqCqqi4tCQ5ERctfMlHlRV4X9+/j1aJTg4eeZipdL1Y+7rzuqtBxjevytpbVqAolj1TzSbwvTf7CDFGcfPR92KXVNJbR1vVUF2qEhy0kxJgiJElDMME7tN5WKZv3T9/d/tgserM+XhXvh0g7hYG88u+9j6QMh+9DZU1b8WisOuUlams2LWQGya6i+w5vPfzvFKf7kIgxYOf2zGx9gwdHjvH0cDFpZ87x9HGTesR6X6JzOyMnA4VDweg2XT+2OY/jL4PuNSQUAAXZc4bcYkQREiypWWlnHK5WZt7kHGDetBfKzdmh1R/q2z4uJqL771KfOf7IduGEy7VE+i4to5QoRLfLydUy438y+tTDxtzK0M+971vLrmMyvupjzcC1VVKtU/mb9qN//3p3fyy99+HNDb0jLegYGMiRIyi0eIqBYfb8ftMyl1+xj/ox4oioLHqzM2swfdrnWS7yrllXf/xSM/uNE6Jt9VimGYPLv040oFsaSjXITTRY9hDdr++eheaKqK2+NjysO9/AlxYiyvrvkM0yRo/ZPC4rKAGF20dg+6rI4tLpEERYgoZgJ2m0Jqm3h03aTMo/O3Xd+wYtM+fvzD7laS0qZVnHVMijMO0zSDfiDoQVZLFqKu7DaFpx68hfZtE1AAn26w98gZZiz5yIpRZ2Isum5YY6LKldfmqUhiVFQkCYoQUSo+3o4CuMsMfLqBqip4fD5+dPf19Ly+rbVoWoozDu3SYmnllTY1TQn6gaDJomoiTOLj7aCAx+sfN6KqCsWlHu7pcx0Db+toLew3ctANAJUqws58LIP3P/0m4DlTnHGy8J+wNFiC8vXXXzNixAjuvfdeRowYwbFjxyrto+s6c+bMYeDAgdxzzz2sX78+pMeEaKrKB8baVBWPzwemgmGaPHxvN/JdpbRKcDB5ZDoxDo3lMwbw9EO3kNjCgUNVKhXEmpmVIYPORFh5vaYVn7ExGokJDnTTZNRg/y3HfFcp7dq0wGHX6JCSwNMP3cL8iX0Zm9mDpIQYRg26MbCMfVYGGtKDIvwa7Ho1e/ZsRo0aRWZmJps2beK5555j9erVAfts3ryZ48ePk5ubS2FhIcOGDeOOO+6gQ4cO1T4mRFNTcfBhxVkPMQ4Fu2bDNJVLa5s4AJMyr4+fzv+AFGccL07sh1fXccbbmT+xL7ph+utJgFThFGFRVXw6WzpwJsbgLvPHWYozDlVVKCwuwzDg7599y/ZP/2PFaZLEqKhGg/SgFBQUsH//foYMGQLAkCFD2L9/P+fOnQvYb9u2bTz44IOoqkrr1q0ZOHAgf/nLX2p8TIim5mKZYV384fKshxibHdP0Tz2emZVBUUkZbo+Oz1fh9s6lb6C6fmm6pmn6pxfLhV+ESVXxqfugrMzAMEyr1+4vH39N/rlSXnxrNz/6fteAOJUYFdVpkB6UU6dOkZqaiqb5F4HSNI2UlBROnTpF69atA/Zr37699f+0tDROnz5d42OhatMm4WpOI6jk5MSwP2ddREs76qqxtz8cKsbnqbPFVQxy9d/rVxUFFJMYu42lG/YydXQvXnyyH0kJMdjt2pVPHfWa+u+/qZxfeYxWF5+gYNP81WDLvD763dKB5X/aR76rFLtN4cUn+9Gmlb9npTlpKjHQkJrVLemCgmKMICPEryZwzpwpupomhUVycmJUtKOumkL7w6FifGqaFnTVV01V0TSFGJuCiYMPPv2Pvzy4pmJXobCwJCxtaUiN/fdfk0ifXzg/GMtjtLr4RIE4h0pcjI3EFnbW5h7i0HGXdbvHNE0KCorD1qbGINIxEO2qitEGucWTlpZGXl4euu4vCajrOvn5+aSlpVXa7+TJk9b/T506Rbt27Wp8TIimpkWMyowrBrnOyMqgRYxKrE3B7TNY89dD/G33cf92hyqrEYsGU1V8ajZ/Zdkyn0lSSwevb9xnjTmZkZWBojazb8XiqjRIrLRp04bu3buzZcsWMjMz2bJlC927dw+4vQMwePBg1q9fz6BBgygsLGT79u387ne/q/ExIZqakhIvac5Yf0VY3T+AsEWM//uEDpgGPDSwGw/feyMtHColJbKmjmg4weIzNkZFA2sOjqoojP9RT35yv+nv9bOr6B5dxpmIkDVYMvv888+TnZ3NkiVLaNmyJQsWLABg3LhxTJo0iR49epCZmcnnn3/OoEGDAHjyySfp2LEjQLWPCdEUlZR4UYC0S93DJSWBPSQ2AB+U+KTnRDS8K+OzrKRyHCpcjlOPxKmopQZLULp06RK0dsnrr79u/axpGnPmzAl6fHWPCSGEEKJpkUqyQgghhIg6zWq80m9+8z/87/++z6lTJ3n77XV06XL9VT9ntEyVi5Z21FVjb384VPceNPX3R86vcajqPJrK+dUneY9qTzFNs9nUFf7nP//JNddcw+jRo1m2bBk33HBDjcc88cQT3H777WRlZQFw5swZkpOT67mlQgghRPPWrHpQevfuHXT7559/zksvvcTFixcBmDRpEt///vc5duwYhw8fZunSpda+kpwIIYQQ9a9ZJSjBXLhwgdmzZ7N8+XJSUlLIz8/ngQceYMuWLfz73/8mNTWVWbNmceDAAdq2bcu0adPo2rVrpJsthBBCNGnNPkHZs2cP3377LePGjbO2KYrCN998g2EYfP7550ydOpXevXuTm5vLhAkT2L59ewRbLIQQQjR9zT5BMU2Tbt26VVn0LS0tzbo1NGjQIJ555hnOnTtXqcicEEIIIcKn2U8zTk9P55tvvmHnzp3Wtr1792KaJjfffDPx8fEcOXIEgE8//ZRWrVrhdDoj1VwhhBCiWWhWs3jmzZtHbm4uZ8+exel0kpSUxNatW9m7dy+/+tWvOH/+PF6vl44dO7Js2TJUVWXfvn3MmTMHj8dDXFwcs2bNomfPnpE+FSGEEKJJa1YJihBCCCEah2Z/i0cIIYQQ0UcSFCGEEEJEnWY1i6egoBjDqHxHy+mMx+UqiUCLwkPaH1nJyYlheZ6mGp81kfOrX+GKTwgeo5E+v8ZA3qPqVRWjEU9QXC4X06ZN4/jx4zgcDq677jrmzp1baRpvdnY2H3/8sTWDZvDgwUyYMCEsbbDZtLA8T6RI+5u2pv7+yPk1bk39/MJB3qO6iXiCoigKY8eOpU+fPgAsWLCAl156iZycnEr7jh8/nkceeaShmyiEEEKIBhbxMShJSUlWcgJwyy23cPLkyQi2SAghhBCRh/JCQQAAIABJREFUFvEEpSLDMFizZg39+/cP+vjKlSsZOnQoEydO5OjRow3cOtEYaJqKqan4FAVTU9G0qApxIYRoVq7mmhxVdVDmzJlDXl4ev/nNb1DVwJPIy8sjOTkZVVXZuHEjixYtYvv27Wia3NsTfoZh8s3pC8x7cxf5rlJSnHE8+3gfrmvXElVVIt08IYRoVnw+g+N5F3hh5e46XZOjJkFZsGABhw4dYtmyZTgcjhr379OnD3/84x+55pprQn6NqmZJJCcncuZMUa3aG02k/ZdoGtlLdpDvKrU2pTjjeHFiP9D1q3/+KtT3LJ7G/vutiZxf/b9+uASL0UifX2PQHN8jTVMpM0yeXfZxpWvy/Il9UXTD2ha1s3gAXnnlFb744guWL19eZXKSl5dHamoqAB9++CGqqlr/FwLAZxgBfwgA+a5SfIYZHYFeRx6vXqcPGXeZj6ILpTXvKIQQYeYDXEVlQa/JeojX5Ihft48cOcJvf/tbOnXqxMiRIwHo0KEDixcvJjMzk+XLl5Oamsr06dMpKChAURQSEhJYunQpNlvEmy+iiKoqpDjjKmXrqgrUXwdKvXPYNYZO3VTr4za/nEnz+s4mhIgWumFyvtgT9JqsqQroNd+8ifgnfNeuXTl06FDQxzZtunxRXrVqVQO1SDRWNk1h8sh0Fq3dY93vnDwyHZumYDTiBEUIIRobTVV4/9NvmDQindfWXb4mz8zKwEZo3xkjnqAIES6KbuJMjGHC8J7EOmy4PT6ciTEoIWTqQgghwscGPDzoRtbkHmRsZg9aJThwJsYQZ1fxekL7xigJimgydN2ghV3j2tREdMNEUxV/pl5hMJYQQoj6p+sGzng744f1CLgeh5qcgCQooonRdQOFS4Gtm4156IkQQjRqV3s9lipWQgghhIg6kqAIIYQQIupIgiKEEEKIqCMJihBCCCGijiQoQgghhIg6kqAIIYQQIupIgiKEEEKIqCMJihBCCCGijiQoQgghhIg6kqAIIYQQIupIgiKEEEKIqCMJioh6mqZiaio+RcHUVDRNwlYIIepDNF1vZbFAEVX8fxwKPt3EMExi7BqFRWW8sGo3+a5SUpxxzMzKwBlvl1WKhRCiljRNxQdBV3zXNJXCEm/A9XZWVgZJEbreyldREREVs3RXkRtNU7E7NHwKuC54mLnkI8bPf5+vTp63/li6XetkbGYPyrw6PhTpSRFCiFrQNBVXiZcZSz7i5d99xvG8Ity6CZrmv55qKueK3Ex5uJf/i2BiLC+s2o2OEpH2Sg+KaHDlfyQ5V2TpdrtK3rkSlm7YS76rFIBYh81KTn78w+68tm6P9KQIIUQd+ICcVbtxJsZWup4+P+52PKVe6/qb4oxj0oh03t52AJ9hRiRZkK+gosGV/5GUJyH5rlJeWLUbUEiId1jbAYpKvKQ44xjev6v1x1R+TM6q3fgi0H4hhGiMdMMk31Ua9Hqad66EnJWB1+XX1u1h5KAbUCOUKYQtKfrqq684ePAgJSUlAdsfeOCBcL2EaAI0TaXs0h9JRfmuUopKPLRsEUOKM856fMMHR5g8Mh2bpgY9Ro9QZi+EEI2NpiqkOONIjLdXup6W91ZXlO8qpV2bFtg0BUNvyJb6heXavmzZMhYvXsyNN95IbGystV1RFElQhKX81k6J2xeQhACkOOM4X+zhj/97hOljbmPB6k/Jd5XiKnLjTIwhxm4LeoymKqCbkTgdIYRoVGzAzKwMXEXuStdTtyf4ddmmqSgRusaGJUF56623WL9+PTfeeGOtj3W5XEybNo3jx4/jcDi47rrrmDt3Lq1btw7Yr7S0lBkzZvDll1+iaRrTp0/n7rvvDkfzRQPxAWtyD/LgwBuYPDKdRWv3VLrXeei4i5H3dGPC8J60b5uA3aaimSZgMjMrI2DcysysDP8I9AiflxBCNAa6buCMt5OU6Kh0PU1s4WDKw714dc1nAdfYOIeKxx2Zm+lhSVBiY2Pp3LlznY5VFIWxY8fSp08fABYsWMBLL71ETk5OwH5vvPEGCQkJ/O1vf+PYsWOMHj2a3Nxc/n/27jy8qTJv+Pj3nJOkaUtpA7SlCqIiAiI8llVFxxGQ0UexKC4gDqACA4gwPCqyuMEgBR6XV2dYRBxw1+FhhAF5HF5hXkdQQEdGEBEZHa1sLUtaAl2SnHPeP0JCQ1OWcppm+X2uq9fVZjm5T3rnzu/cy+9OT08/5/KL6NANk97dWjHn9S9wZTh5avhVHK3wUnbUGwpOgh+UxumOQPDh10MBiCvNTuGYnhGXxwkhhDg9XTdAh6wMB6MHdMLpsOEp9/HK+1+TleEItcvNMlNxaDRYcALnMEnWMIzQz/jx45kxYwYlJSVhtxvG6b88srKyQsEJwBVXXMHevXtrPO5///d/ufvuuwG48MILufzyy/n73/9e1+KLBqCpCpmNApNgdxa5eem9Lfj8BotWbAsFJ1OGdccOKLpRI/jQdQNFN7CZZsT7hRBCnBlFN3FlOHnhnS+ZuWQzbk8l/a5tzUvvbeGxP6xHN0x83obtn65zD8pll12GogTWRptmYHxq6dKloftN00RRFHbs2HHGxzQMg3feeYdevXrVuG/v3r2cf/75ob/z8vLYv3//WZW5adNGtd6XnZ1xVseKNfFQfsMwMUxC45w7i9y8sXoHowd0okVOBikOjcz0FFS1YdbcN7RT1c+6iod6AfFTzrpKlPOrrY4myvnVp1h8j7KyTGY9eA0HSitq9GSnODSaNG7YEYo6Byhr1661shwA/O53vyMtLY17773X8mMDHDp0FMOoOdknOzuDAwc89fKa0RBP5Xc6tLCxT7enkqaZqTgU8Ff6OFTpa+ginjWrGp5T1c+6iod6EU/1ty4a+vys/GKMVEcb+vziQSy/R5qm4rRrPLdiW1heKvx61MpcWx2tc4BSvTfj1Vdf5YEHHqjxmMWLF3Pfffed0fFmz57NTz/9xIIFC1AjLLo+77zz2LNnT2jy7L59+8KGhkR88Hn1GnNJmmWlcejQ0YYumhBCJB1dN8iK0fl9lqRfmTt3bsTb58+ff0bPf/755/n666+ZO3cuDocj4mNuvPFG3nvvPQB+/PFHtm3bxrXXXlu3AosGdfJcklge0omljbOEELEtXtuLWJ3fd06reD777DMgMHdk48aNobkoALt37z6jFTa7du3i5Zdf5sILL2TgwIEAtGjRgrlz51JQUMDChQvJzc3lgQceYNKkSdxwww2oqsr06dNp1Mj6MXshgiKl5Jf0+kKISE7VXoi6OacAZerUqQBUVVUxZcqU0O2KopCdnc3jjz9+2mO0adOGnTt3RrxvxYoVod/T0tJ46aWXzqW4QpyVSCn5Zy7ZTOGYng20dZYQIladqr0QdXNOAcq6desAmDhxInPmzLGkQELECr2WlPySXl8IcbJTtReibiwZIKsenJxtHhSR2OJ1TBZO7FtRXSi9vhBCVNOQ7UU8t7OnYslZbN++nbvvvpsrrriCDh060KFDBy677DI6dOhgxeFFDIv0wQjepisKVYbJwuXbGFm4lsnzNuAu98XNhye4b0Ww0ameXl8IIapriPZC01TQNPxAlc+g7JiXomIPx3x63LSzp2LJezdp0iSuv/56Zs6cGbZZoEhsdofGIY83bFLY0yOuxOc3eGbx5rB9dko9XnYWueNqDkdw34pYXH4nhIgt0W4vNE2ltNzH22u+DWWADba54wfmk5adHvcblVkSYu3Zs4cJEybQunVrzj///LAfkZg0TaXCZ9SYFFZ8uDwUnARve+m9LQzo1Sb0dzyNycbq8jshROyJZnuho/DMks307tYqFJxAoI198d0t6HEenIBFAcoNN9zA+vXrrTiUiBN+wO2pqjEpzOmwRZwolnF8qZ3M4RBCiHPnN4xQ25qok3MtGeKpqqpi7NixdOnShWbNmoXdJ6t7EoumqfgJzFgvO+oN7asTVOn117gtx5WKp9wXNiabAMG9EEI0mOCk3GDbenKbq2lK4EoyjlnSg3LJJZcwYsQIOnfuzAUXXBD2IxJHMBHR5Hkb+HGfh7Wf/8S4u/PDJoXlNknjv+7pEnbbpKHdaN0ik8IxPSXJmRBCnCNNU0GB8QPzI7bD/3VPFxJgjqw1PShjx4614jAixlVPRLRs3S5+/Z/tWfnJ9wwv6EhmIweN01NY/8/d5LfLYfSATjgdNiq9fpwODZtpouuG9JwIIcQ58gML39/GnX0u5carLiTdaePpEVehqgqHyyppnG5H0WWIJ2TTpk0sX76ckpIScnJyKCgo4Morr7Tq8CIGVE9EtLPIzRurdzCgVxsuaJ5B0X4Pf/zLdnYWufnX7lJG9u+Ebhiy8kUIISymGyabthdT6vEyoFcb/IaJwwSbplDl85PmTEP3xv/loCWdQEuXLuW3v/0t2dnZ3HDDDeTk5PDwww/zpz/9yYrDixhxciKinUVuFq3YhqrAohXb2FnkJseVyqC+7bBhysoXIYSoB8G2OJi64dGXPmHaos/4udiDK8OZEL0nYFEPyqJFi1i8eDHt2rUL3XbTTTcxbtw47rrrLiteQsSAYCKi4DBPjw65PHDr5SiKQuGYa0AxwUR6TIQQwkLVFydoqoJDU8La4uAChKwMB4puJkz7a0mAUlpaSuvWrcNuu/jiiykrK7Pi8CJGVE9EhAKeYz4eX/Cp7PQrhBD1pLZdkptmOGomhUuAYZ3qLBni6dy5M7NmzaKiIjA/oby8nDlz5pCfn2/F4UUM0XUjENWaSsSdO+N8VZsQQsSMQM9J5LbWq5sJn0TSkh6UadOmMWHCBLp27UpmZiZlZWXk5+fz3HPPWXF4EUOC0XyVT5edfoUQop5IW2tRgJKTk8Nbb73Fvn37OHDgADk5OTRv3tyKQ4sYE1xqPLygY+TkQKoCCTJBSwghGoq0tRYN8QRlZGSQm5uLoigUFxdTXFxs5eFFDAguNV62bleN5ECy068QQlhD2lqLelA+/fRTnnjiCfbu3YtpnojoFEVhx44dVryEiBHVl7e9sXpHKElbs8xUbCTO7HEhhGhI0tZa1IMydepURo0axRdffMH27dtDP19//bUVhxcxJLjUOPjBWbRiGyl2LWk+MEIIEQ3S1lq4WeDtt9+OpmlWHE7EsOpLjcOWtyXJB0YIIaJB2lqLelCGDRvGokWLwoZ3zsbs2bPp1asXbdu25bvvvov4mN///vdcddVVFBQUUFBQwLRp086lyOIc6LqR8MvbhBCioSV7W2tJD0rfvn154IEHePnll3G5XGH3rV279rTP7927N0OGDGHw4MGnfFz//v157LHHzqmsQgghhIh9lgQo48aNo2vXrtx44404nc6zfn7Xrl2tKIawyMlplZOtW1EIIaJN2t2aLAlQdu/ezfLly1FVS1ct1/DBBx+wfv16srOzeeihhyRTbT2oLa2ypLAXQoj6Ie1uZIpZ14kj1Tz66KPcdtttXH311ed0nF69erFgwQIuvfTSGvcdOHCArKws7HY7GzZs4JFHHmH16tU1hpTEuXF7Knnkxb/XSAr07Phf4Mo4+94xYY1+D6846+esfK6gHkoihLCatLuRWdKD4vV6GT16NF27dqVp06Zh982ZM8eKlyA7Ozv0e8+ePcnLy2PXrl107979jI9x6NBRDKNmPJadncGBAx5LytkQrCy/X1EiplWurPJzoLJ+3qNEeP+tcKr6WVfx8L7G+///dBr6/KyqnxC5jjb0+cWD071HDdHuxpLa6qglAUqbNm1o06aNFYeqVXFxMbm5uQDs2LGDPXv2cNFFF9XrayajYHKgZEyrLIQQDUHa3cgsCVDGjh172scsXLiQkSNHRrxvxowZrFmzhoMHD3LfffeRlZXFBx98wIgRIxg3bhwdO3bk+eefZ/v27aiqit1uZ86cOWG9KsIaweRAJ4+F2oDE2shbCCFig7S7kVkyB+VMdO7cmS+//DIaL1UrGeI5M9GeTZ4I778VTlU/6zoHJR7e13j//59OQ5+fDPE0vDN5j5J5FU+9DvGciSjFQcICum6gcLxy6GZSR/BCCBEN0u7WVL/rgqtRFCVaLyXOgaapmJqKX1EwNRVNi1oVEUKIqJL2LrYlw47N4gzJWnwhRLKQ9i72RS1clCGe2OeH0IcVAsvcZi7ZjL9hiyWEEJaT9i72RS1AkXT2sU83zIhr8fUIEzeFECKeSXsX+85piOfo0aM4HA4cDgcAn332GR9//DEA119/PT169Ag99pVXXjmXlxJR4LCrPDW8B06HDU+5j2XrduH2VCb9WnwhRGLRNBUThdljr6HsqJdl63axs8gtuUdizDkFKEOGDGHOnDlccsklvPXWW/zhD3/g5ptvBmDChAlMmDCBO++805KCivqlaSqlHi/zl20NjceOH5iPKyMl6dfiCyESR6S5J+PuzmflJ98zqG87ae9iyDkFKD/++COXXHIJAG+88QZLliyhbdu2AAwaNIhRo0ZJgBIn/MAzJ43HvvjuFmaNuQZdl4+rECIxRJp78tJ7Wygccw02TJkgG0POaQ5Keno6+/fvBwLDPdVTz7ds2ZKDBw+eW+lE1NQ2Hus35MMqhEgctc89MSQ4iTHnFKDcfvvtTJo0iZ9//pmhQ4cyffp09u/fz/79+3nmmWfo0qWLVeUU9Sy4F0R1ofFYIYRIENLWxY9zClDGjx/Pf/zHf3Drrbfyyiuv8D//8z9cf/31XH/99fzwww/MnDnTqnKKehbcCyL4we3RIZcZo67GMExJYCSESBgnt3XV970JkgRuseGc5qCoqsqECRN44IEH+O6779i/fz9Op5O2bdvSsmVLq8ooLHC6fR503cCVZqdwTE9QwHPMx+MLPpUERkKIhFK9rYvUHtodGhU+A7enirKjXtZ+/hOD+raT9q8BWJJJtnHjxqfNc9KvXz9WrlxpxcuJM1A9IHHYAyt0njlNxsTgXhCmpkZMYFQ4pifSCSqEiHe17XujaSqHPN4aK3zeWfMtI/t3RCG5N/WLtqj1W+3evTtaL5X0gsvoFi7fxo/7PFR5jRordE6VMVESGAkhklFtK3x6d2sVCEg0lWM+naJiD4fKKikq9nDMp8sQUD2RzQITTHDsNCPNztCbL8NuUzDNyAFHbQt0ZBKZECIRnO1cktouzjIbObAdP9bJKrx+TE3axvogYV8CCE5k1RUFH+DXDQwTKr0685dtpaj4aMSAw8SM+IE9k0lkQggRy4I9yZPnbWBk4Vomz9uAu9x3yiCltoszV0YKFV4/5VVebJpKmtOOp9zHh5/9SGWVjvQt1w8JUOJU8MrAtKn8uK+MyfM2MKJwLVPmbeBgaSWmCT6/wfCCjmzevo9xd+eHBRzj7s7n1b98HXGYp/oksoWTe1M4pqdMEBNCxJW6bAZY28WZM8XGR5t+wuszeXzBpzz2h/UsWrGNu29oyxff7EdyWdaPqF0Uy27G1qmeqnl4QUcWrdgW9iF8/u1/MHpAJ6Yt2hQKRv7fP35meEFHWuVl8NM+D2+s3sHOIjcP3Hp5xEpQ2yQyIYSIB6eaS1fbF19tK3wqq/z86sqLeHLhp2Ft7azXPmf6b65GZjDUD0t6UF599dWIty9evDj0+/Tp0614KUH4lUFGmj3ih9DpsIV+f+m9LXTvkBcIZA6XM3PJ5vCNsYQQIsHUdS6drhsouoHNNFH0QHZZTVVRVSK2tWVHq5AxnvphSYAyd+7ciLfPnz8/9Hu/fv2seClB+JWBp9wX8UPoKfeF/g5O8poyrDur1v8QeozMKxFCJCor59I5NFBrCXjKjnoxZIVjvTin76fPPvsMAMMw2LhxY9gwzu7du0lPTz+30omIglcGJe4Klq3bxbi783npvS1huxC//sGO0ONzXKk0y0zFocHI/h154NbLZf2+ECKhnS4h29nweXXsDhuThnZj1muf19gFeWT/jrIFcj04pwBl6tSpAFRVVTFlypTQ7Yqi0KxZMx5//PHTHmP27Nn89a9/Zc+ePaxcuZJLL720xmN0XWfGjBl88sknKIrCyJEjk3qX5OCVQXCoZuUn3zNj1NUoKGiaQqXXj9tTCVS/ajDxeWVeiRAieVg6l043aJRmZ/rIqyk7Fsgyu/KT77mnb7tA4GNFgUWYcwpQ1q1bB8DEiROZM2dOnY7Ru3dvhgwZwuDBg2t9zMqVKykqKmLNmjWUlpbSv39/rrrqKlq0aFGn14x3J18ZOFNsmD49cGXgh3S7ZslVgxBCiABdN0jRVMwUBZvNiSvDyW/6d0LDlPa1nlgyB+Xk4GTjxo18/vnnZ/Tcrl27kpeXd8rHrF69mjvvvBNVVWnSpAl9+vThww8/rHN5410w1bJhmGiqimGY+I/fDpEneQkhhKhdMHWDriiYmoZpU2skd9N1A8Oro+oGNtMAXZf2tR5ZMkfy3nvvZcKECXTp0oWFCxeyZMkSNE1j8ODBjBo16pyPv2/fPs4777zQ33l5eezfv/+sj9O0aaNa78vOzqhT2aLNMEx+2n+EGX/cRIm7gh4dcrmv3+Ucq/DRON1BM1c6Nlv8pbeJl/e/Pp2qftZVvLyv8VLOukqU86utjsb7+RmGyd6DR9l/6BhOh41Kr5+sRim8+393MvjG9rRq3hj1HFc8xvt71BAsCVB27drFFVdcAcDSpUt5/fXXSU9PZ9CgQZYEKFY5dOhoxNnW2dkZHDjgaYAS1YGmhYKTthe46Hdta558Ob53HY6r9z8CqxqeU9XPuoqH9zXe//+n09DnZ+UXY6Q62tDnZwXNYePwkUrmL9sattjgjt6XMuOPmwIbpZ5Dm5oI71F9qq2OWnKpbRgGiqJQVFSEaZpccskl5OXlUVZWZsXhycvLY+/evaG/9+3bR/PmzS05drzxG0ZoifGAXm1Cq3fgzDIlCiGECOfTDV58N7wtffHdLWQ1SpGNUhuQJT0oXbp0Yfr06Rw4cIAbbrgBgKKiIlwulxWH58Ybb2Tp0qX07duX0tJSPvroI9566y1Ljh3rtONjon7dRNMUHNWWGNeWpO1UmRKFEEJUm8tngqooDC/oSEZaYI+dZet2sbPIjWmaJ5K76RKkRJsl32OFhYUsXryYJk2a8MADDwDwww8/MGTIkNM+d8aMGaxZs4aDBw9y3333kZWVxQcffMCIESMYN24cHTt2pKCggK+++oq+ffsC8OCDD9KyZUsrih7TNE2ltMLHM4s3h7od/+ueLkwc0pU5r38RStJWPUiRD5MQQpxa9e1CXBlOfnN7p9CWIdXzm5gmoeRusow4+hQziTbJibs5KDaNSXPX1whAHrrrCiqqdHKapIJ5Iu29zEFpGNGYg9Lv4RVnfbyVzxXExfsa7///02no85M5KBFoGpPmBdrWKcO6h+1nBoF2dsaoq3GmaJi+c18JGZfvURTVVkctGwnYsWMHX3zxBW63Oyyj7Pjx4616iaTicNo4VqlHHMLJzkqlqPgo8/9nKxOHdGHayKvQNBVNQXKeCCGSXnD4JlIuKE1T8Ssmwws6kp3lJC018lC5oij4K2VGX0OyJEB57733KCwspGfPnvz973/nF7/4BRs2bKB3795WHD7paJpKeZXOsUofTw3vgdNhC42Luj2VFBUfZdGKbYwfmM/+Q+W8+O6WuOw5EUIIq1UfvonUs6w5NNyllez490FaXnkRhm7y1PAevLvmO3YWuYFAD4rso9rwLAlQFi1axKJFi+jatSvdunVj7ty5fPzxx6xevdqKwycdP1BeFYjcT172luLQeOX9r0OzzB+664rQ6p3CMT2Rz5QQIplV3+0dCGsfbZpKldcABa7r3JKnFn5aYw8zt6eSqffJvJNYYMky40OHDtG1a9fAAVUVwzC47rrr+Nvf/mbF4ZOPAulOe2hTKjix7K2i0h+K8kvcFdiOZzmUpXBCCBG+23tQibsCTVNwl/uYPG89JYcragQxL767hQn3dKZwzDVkpUpvdCywJEBp3rw5u3fvBuDCCy9k7dq1fPHFF9jtdisOn1Q0TcVzzMfhI5URP2S2ammXc1ypeMp9od816ZMUQiS54G7v1fXokIvXZ4SCktpSNJQdrUJB5vHFCksClOHDh/P9998DMGbMGB599FGGDh3Kgw8+aMXhk0JwHwgfge7JsqPeGh+yHFcqlV5/6PfJQ7uzbN2u0BirQ1MwNRW/otTYQ0IIIeJZsI08XfsW3O092H7muFIZXtARt6cqFJQEUzRUl+NKxZWRgob0RMcKS+ag3H777aHfr7vuOjZv3ozP5yM9Pd2Kwye86pO6Hv11V0rcFSxbt4sJgzrzwjtfhsZIJwzqjGGaFI7pSaXXj6txCg8P7owzxYZiGBzyeON+ybEQQpzsdBNfqwvu9j7noWswAUMH3TBolOoI5Y1atm4X4+7OD2XiDh4vLUXDKyt3YoYlAcr69es5//zzueiiiwBwOBzs2bOHvXv30rNnTyteIqEFJ3V1uqQZrowUZo+9Bq9PJz3NzugBnWiU5iAj1cHiVV+zaXtx6MMU3LHYleGk5PCxWieGycCPECKenWria23tW3mlnwqvnyNHvTgdNkwTnhzeg+mLNrGzyM3KT75nxqirQVHQFAWHhgQnMcaSAGX69Om8+eabYbelpaUxffp0/vrXv1rxEglNNwJBxk1XX8SUeRvCZpUHl761vcDFwL6X8sCtHdHUmvlOapsYJmnvhRDx7mzbNx0FT7kXv26GrYT8r3u6MGNUT9yeSlwZKaTaVXzewFodnyzZiTmWreLJyckJuy0nJ4cDBw5YcfiE5nDa0DSV/7qnM7Nfr7lqZ0CvNgDsLHIzbdEmwETRa2Y2jDQxTCbOCiESwdm0bw6nDQOTppmpNTYAfP7tf6CqUF7pw1EtOBGxyZIApWXLlnz22Wdht23atIkWLVpYcfiE5XDaOFBWxeS562tdtZORdmIl1KkCjkgTw4J7SAghRDw70/bN7tA4WFbFlHkb8PqMiG2qz2fgynCiyH5lMc+s+/T9AAAgAElEQVSS76+xY8fy0EMPcccdd9CyZUt+/vln/vznPzNz5kwrDp+wqnwmhcfHVWvb+K/6qp1TbVoVnBhWOKZnxPTOQggRr860ffPqJ+aqHCqriNimpjg00uyqtI1xwJIelD59+vDHP/6R8vJyPv74Y8rLy1m0aBF9+vSx4vBx40yXwQXpxokIPzirvPoVwtT7unPxeZksnNybwjE9T7siR9eN0MTZSMNAQggRL05uT4HTtm/V29Q3//dbJgzqHN6mDuuOZprSNsYJy0YAOnXqRKdOnaw6XNw5m2VwoeeoaijC31nk5o3VOxg9oBPNm6SjacrxCVz+wD9JNyXtshAiKdSlPYWabeqSVd8wekAnzs9uhE1TJTiJM5b0oHi9Xl544QV69+5Nly5dgMDS45NX9iSyk5fBuTKcuD2VVBkmpqZid2ihqwE0DdWhYZgmM0ZdTY8OuQDHZ5Y7SXPaSFEVmcAlhEhKpqbg9lQyYVDnQGCS4WTmks3Utgg40L5q6IbBzDE9ue26i4ETbapmUyQ4iUOW9KDMnDmT4uJinn32WUaMGAFAmzZtKCws5N5777XiJWJe9WVwbS9w8ev/bB9KAjSioAMdLm4WdjVQfWOqKcO6M/K2jmAqpNgVWYsvhEhamqbi9njDlgePuzufN1bviLisOLjYoLBa+zp5WHcKrrsEXTex2xVMnwx5xyNLelA++ugjnnvuOfLz81HVwCFzc3MpLi624vBxofoyuAG92oSCkz7dWtLtsuYRN6Ya0KtNKOEQJii6LsGJECKpRUrK9tJ7WxjY99Iaqxg1TQ1bbBB8fOGSzeiGiaLr+Cv9EpzEKUsCFLvdjq6HD0ccPnyYrKwsKw4fF6ovg6u+EdVtv2wTtgdEUPUlxLITsRBCBNSWlO28Zo3Cek80TcWPgt+IvJxYl2XEcc+SAOXGG2/kscce4+effwagpKSE6dOnc/PNN1tx+LhQfRlctis11JuiqdS68V/YTsSaiurQZKM/IURSOzkpW9sLXDw1vAeqquBHAZuK5rDhNcHn17EdnxhbnSSpTAyWfAtOmDCBFi1acOutt3LkyBF+9atfkZOTk3S7GQeX+do50ZuiG7D2859qLCEePzA/tBPxuLvzWfh+YLz1ube+ZPK8DbjLfRKkCCGSTvXe6LYXuBhyc3vmL9vKiJkfMXneeg57qth3qJyp8zcwavY6Vq3/nsknJXGbNLQbdru0n/HunCfJ6rrO/PnzeeSRR5gyZQqHDx/G5XKhKGcevf773/9m0qRJlJaWkpWVxezZs7nwwgvDHvP73/+et99+O5RSv3Pnzjz11FPnWnxLBLoaCSUQAnCl2Zk5picmMOTmyzha7mX6b67GNMzQB+f+WztQdtTLG6t3sLPIzb/3HmF4QUdmLtksG/0JIZJS9d5oE0L7k7W9wMWAXm1IT7Gz/9ixwCap7gre//gHAJ4Z3RNdNzBMsNkUNIVaV/2I+HDOAYqmabz99ts89NBDADRp0uSsj/HUU09xzz33UFBQwIoVK3jyySd5/fXXazyuf//+PPbYY+daZEvZHRqeSj/Fh8txOmxUev3kNkkjzWnDriiYJhyr8PHcW1+GredvlGbnj3/Zzs4id+hYkealSKp6IUSy0XUDm6ZSdXw+Sp9uLbnp6otC+5VVX9mzs8jN+x//wE1XX4yqqjg0hRS7SlWFr6FPQ5wjS/rA+vfvzzvvvFOn5x46dIhvvvmGW265BYBbbrmFb775hsOHD1tRtHqlaSo6oCoqaU47nnIfH372I25PFeVVPg6VVfLvvWXMXFxzm/Cfiz0Mubk9bS9whY5XY16KjKEKIZJIMHusrihUGSZHjnnp0SGXAb0urbGZ6kvvndhMNTC8Y5KiAn5dgpMEYckF+tatW3nzzTd59dVXad68edjwzltvvXXK5+7bt4/c3Fw0TQMCPTI5OTns27evRm/MBx98wPr168nOzuahhx4iPz/fiuLXmakplHq8YflNxt2dz1/+/j2jB/wHxYfKyGuajivDyfCCjmSkBYKYZet24XTYeOGdLxk9oBPTFm0ix5XKI/d24dUV20+7744QQiQKu0NDR0HXTaqMwHLgA6UV/OXv33Nfvw6M6N+RQ2W1b6YabC9TZXfihGNJgHLXXXdx1113WXGoWg0cOJBRo0Zht9vZsGEDY8aMYfXq1bhcrtM/+bimTRvVel92dsZZl6nkcHnE9frjB+ZT6qniw89+ZET/jgy5uX1o2+/gBNmmmam4Mpycn53Bwil9SLGpaJrCxCFdsdtUMtNTUM+iB6Uu5Y8l8V5+K5yqftZVvLyv8VLOukqU86utjtb1/Px+g72HjnKswsezb/4j1EZO/HVXBt/UnooqHaf9xErIkzf+a9LYyVPDryLVqZGVmVanMkRLotSBaLIkQLntttvq/Ny8vDyKi4vRdR1N09B1nZKSEvLy8sIel52dHfq9Z8+e5OXlsWvXLrp3737Gr3Xo0FGMCPlGsrMzOHDAc1bl1jQVFGr0jOwsctMsM5U/rvyawTe1B8CmqQwv6Mjm7fvo3iEPm6ZiGCYjb78ch13F8PrRvQY6oAB+v86hyjPvoqxL+WNJIpTfCqeqn3UVD+9rvP//T6ehz8/KL8ZIdfRczs/UNFRVoVGqg+kjr0I34P3/t4s5b3zBM2N6UnK4nFJPZWglZDABZo4rlceGdOP5t7/k/ls7kOpIjek61NB1INbVVkctm4O5bNkyVqxYQXFxMbm5uRQUFDBgwIDTPq9p06a0b9+eVatWUVBQwKpVq2jfvn2N4Z3gcQF27NjBnj17uOiii6wq/lkJjpN6PFUsWrENV4aTgX0v5beD8jlW4cPhUHmgoCPlFb7QDPQeHXK5+4a2zHrt87CeFCGESFaaBpXlelia+klDuwFgGiauDCcbvtpDv2tbs/KT7xle0JHMRg4yG6XwP2u/O77XTgoasplqIrIkQJk/fz7Lly/n/vvv57zzzmPv3r0sWrSIkpISRo8efdrnP/3000yaNIl58+bRuHFjZs+eDcCIESMYN24cHTt25Pnnn2f79u2oqordbmfOnDlhvSrREtxlMzXFxswlm3FlOMP23QkGHoZh8vs//TPUJdm7W6tQcAIn0t3PHHONNTOVhRAizug6NdLUz3rtc54ecRU/7vOwaMU2Jg3txj92FNO7Wysy0uw0beyk2F3O1n8dlLknCc6SAGXp0qW88cYbnH/++aHbrrnmGu69994zClBat27N0qVLa9z+yiuvhH4PBi0NKZhaucqnk+q0UeKuYHhBx1BwAicCj6dHXBU2Xlo9/X1QibsCwzQlQBFCJCW9ljT1Nk1h2bpdoYDlqeFX8eB/ryPHlcpDd11BbpN0Csf0xAYSnCQwS74bKyoqagzJZGVlUVlZacXhY4LdoXHMp1NUfARVVVAVpca+O0El7grUk9I1e8p9EdMx22QpsRAiSWm1pKnXDTOUI6rEXYGmBm6fMKgzq9b/gE1TUHTZoTjRWRKgXHvttTzyyCP88MMPVFZW8v333zNp0iSuueYaKw7f4DRNxWuYuD1VzF+2lUdf+iTU9Vjp9Uf8gB0qqwhLb7/2859qpGN+5N4uZ7VSRwghEolDI2Ka+mXrdoUek+NKxWYLLDRY/vG/uOdX7dBM2QgwGdR5iOfNN9/k3nvvBeD+++/nj3/8I7feemtoNc5NN93EE088YVlBG5If8PvN0FJhgE3biwEYeVsnZoy6GrenirKjXtZ+/hO3/qI1r3+wg6wMB9NGXk15pY+sRinopsHoAZ1CGWfTU+1omMg1gBAi2Wiait+A7Cwnz4zuiWmaaKoKisnWfx0EggFLdxRF4cK8DH5zWyc005SekyRR5wDlhRdeCAUo99xzD19++SWzZs3C7XbjcrlQ1cSZWaEbJoqq8NBdV9A0MxVVVfCUe1FV8BwLT9Q2ZVh3dNNg2C2X4Sn38X/e+ZKdRW4WTu5NWorGBbmN0Q0DTVVxaDJ+KoRIPpqmUlrho9RTSWYjZ1gb+vDgLswY1RPDMELLjm/o0YrszFTw67JaJ4nUOUBp2bIls2bN4pJLLsHv97Ns2TLMCN1ud9xxxzkVMBY47Cpujze0KifHlcpjQ7uSle5k8rz1NdLYB7PDBgXmmqh4K/0oHH/TdR2ffNKEEElG01RUu0YjRSE91R5KxQAc39H9H6FNUyHQft7V51JZSpyEzqkHZdGiRXzwwQf4/X6WL19e4zGKosRdgFJ9Z2KbqqJqoOsmhceXFD901xU0y0rFbgt0RUaaIJvXrFEo62GOK5Wpw7rLh0sIkfQ0TUVxqFR4/WAqqApMGNQ5LNFlibuCzEYOgFCvdLrTJvvrJKE6BygXXXQRzzzzDABDhw7ltddes6xQDSWY42TmSUmDbDYVV4aT+2/twJ//tove3VrRNNNJZiMHv3/kl+w7WB76cOW4UrFpKr/7zdUoqoJNVWTMVAiRtIIXfSkOjSqfgeI30VDxGQZ7Dh7l3TWBhGvB3YndnkqaZaWycEofNEUhxa5IcJKkLMmDkgjBCQQmw568t86s1z5n5pieDL35Mv78t130u7Z1WFK2cXfns/bzn/j1f7Zn5Sffc+svWnOorBzDgOUf/4tBfdvhSrM37IkJIUQDCF707SnxcF5OBu+u+TZiG/rG6h289N4WRg/ohKuxE5tpohzfOFCm6SWvxJnJagHdiDxkoyjQLCuV3t1a1UjK9tJ7W0K3j+zfCVdGCk0zU1my6hs2bS9m5pLN+BviZIQQogEFE1vOXLKZdhc2pXDJ5lrb0AG92lDiriC3STqN0x3S4ywACVDCaCclVwO47bqLAVBVuCC3Ua1bfpe4K9BNE7tN44c9R8KSDBnyWRNCJBFNUznm0/HrBhMGdUY3zbC2srrg7TmuVIoPH5P2UoRIgFKNDZhSLWlQjw653NCjFfsPlTNl3gYOlFZETMoWzBKrAKZp1kgyJMnYhBDJRLGrpDg0UhwauU3SUJXwtrK6HFcqlV4/j9zbhawMJ3ZN2ksRIAHKccGJXI3T7cx56FoWTe3DA7d2RFNVbJrCo7/uSvNm6fzXPV3Csh4G56BMva87pmJS6dNxeyrD7keRrIdCiOSgaSpHK3x4/QZuTxUvv7+V4sPlPDX8SjIb2Zk0NDxz7JRh3bn4vExsmkqKXQUZ3hHHWTJJNt4ZhhlavePKcDLq9k4Uvha+kkcBdhd7aJoV2KzKmWIj3WknxaEyon9HUlM0fH6DV//3a4YXdCQjzY6n3MfKT75nZP+ODX2KQggRFX4CbWqKXeObH4p54NbLKa/yU+XTee6tL3FlOBk9oBN5TdOx2zQ0DVRNITPdgQ1k/okIkR4UoPRoVWj1zr03tQsFJ3BiJc+B0krmL9uK55gXVVV49KVPGDNnHYYBaSkaVeU+FN1kUN92LFqxjcnzNrBoxTYG9W0nUaAQIilomordrpGaYsNhV+lwcTMeX/ApJYcD7WiJu4KdRW6mLdrEkws/A8BpU9F1Qzb/EzUk/Xen3aFR6dNDAUluk7SIk7hcjVMocVfw4rtbmP6bq4FA96SmKlSWB9bo67qBK81O4Zie6IaJpipyRSCESAqaplKFSZoKmApVXgO3pxJXhrPWybGmaXL4mJd0m9YwhRYxLakDlLQ0O8e8BqZpMm9iLyq9PpwpNuZN7IWqENoHYuu/DpKR5qDtBS52FrkxDDMwdnpfd+wqVE8hpOtGtXT2kj1WCJEc7CkaimlSXunH7zdRFchtks64u/+Dw0eqQtm1g4ILCNIVTS7iRERJG6CkpdnZ566k8PjQzm3XXczt17fhYNmJ24LzT269rjWLV37NvTe14/d/+ic2TWHGqKtJT7VRVS4ZDoUQyS0tzY7PBAWFo+V+ZoXN4etOs+MLBqonaJsavMDzSnAiIkvaOSjHvEYoEBn8q7bc0KMVlV4dr09neEFH2l7gCs0/sWsqm7YX0ywz0GvisGs4HBqVVdI/IoRIbn6/gQGBXmfdpOxoJRMGdWbKsO64MpzMem0zDk1j5SffM2PU1Sya0ofCB6+hWaZTdnMXp5S0PSi6boQFJ+4jVTz9ysYa6Zd3FrlRCHRH2u0adrtK4ZLPeXhwZ1JURYZwhBBJrarKi0EgUCn1eJm/bGuNdlQ3TEb074gzRaO8yk+6XZP9dcRpJW0Pik1TGVHQgZ5XnIfdptA43cGMUVfz6tQbGFHQIZR+OceVimHC+IH52G0K//3GP3B7KtFUVcZNhRBJLe34PmNVXgOvzyAjzcGIgg7AiTT2A/teiqYqfLD+B7xeg1S77EwszkzyBig2lV92aUGTdAcVVTo+v47Pb7Jq/fc0c6UzoqADmY0cTB7WHa/fj6txCjMXf47bU8nkYd1xyKRzIYTgaJWOzxfefk4d1hUIBCl5zRphsytc17klqg0Mn/Q7izMTE0M8//73v5k0aRKlpaVkZWUxe/ZsLrzwwrDH6LrOjBkz+OSTT1AUhZEjR3LnnXfW+TUdx0OzY1UGhhHYQ8fw+7g2vwV///JnbrmmNSiBPXgMA2yqwsODO6NpKg4VGTsVQiS14CrIYPvZKEXllusuZtXHPwTaTwJD4zZNQVUUmmU50b269DyLMxYTAcpTTz3FPffcQ0FBAStWrODJJ5/k9ddfD3vMypUrKSoqYs2aNZSWltK/f3+uuuoqWrRoUefXrb6KJ8eVyuRh3XGmqPTpfiG6YaBpKguWbWVk/06omoKv0iAtRcNbKfsTCyGS18mrIIPtp6uxgwG921Be4Q+lsXc6AvNO0hyynFicnQYf4jl06BDffPMNt9xyCwC33HIL33zzDYcPHw573OrVq7nzzjtRVZUmTZrQp08fPvzwwzq/7rGqE6t4INAVWbhkMyk2O5qmoGkqnnIvA/u2Iz1FxTQhM80uwYkQIunV1n7qfqiqMtBUlZljepKWFrgGTnPIhZ04ew3eg7Jv3z5yc3PRtMCkDk3TyMnJYd++fTRp0iTsceedd17o77y8PPbv339Wr9W0aaMTxzt4NGJmQ90wsGkKqQ4VTU3BaVOw2Wykpxx/qzLO9gyjIzs7Rgt2huK9/FaoXj+tEi/va7yUs64S5fyCdfRU7ScoNErVMEzQFGiU7gw8IDHegjpLlDoQTQ0eoETToUNHMYzAzsKaTYuY2VBTVVJSVFTAaVMoL/cRnis29mRnZ3DggKehi1FniVB+K1Svn1YdPx7e13j//59OQ5+flV+MwTqqabW3nyiBrvkDZRU0SnVQUZ64/9sz1dB1INbVVkcbfIgnLy+P4uJidD0w6VTXdUpKSsjLy6vxuL1794b+3rdvH82bN6/z66Y7VCYPC9/2e/Kw7qSnqNgAn984HpwIIYSoLj0lcvup2QJtqx8wTSW5roCF5Rq8/jRt2pT27duzatUqCgoKWLVqFe3btw8b3gG48cYbWbp0KX379qW0tJSPPvqIt956q86vW17uI8/lpPDBa9D1wMZ+6Slq6D4hhBCRRWo/nSkqwewLVVU6rjS7TIoV56TBe1AAnn76ad58801+9atf8eabbzJt2jQARowYwbZt2wAoKCigRYsW9O3bl7vuuosHH3yQli1bntPrlpf7UPw6ec3SUXSd8nKfBCdCCHEGTm4/q463n+XlPhTdkOBEnLMG70EBaN26NUuXLq1x+yuvvBL6XdO0UOAihBBCiMQWEwFKtKiqUqf74oGUP/7Vx3sQL+9rvJSzrhLl/Go7j0Q5v/ok79HZU0zTrLlsIEHNnj2bv/71r+zZs4eVK1dy6aWXnvY5paWlTJ8+ne3bt2Oz2bjpppsYO3ZsFEorhBBCJK+k6kHp3bs3Q4YMYfDgwWf8nEmTJnHllVfy/PPPA3DgwIH6Kp4QQgghjkuqAKVr164Rb//qq6949tlnOXbsGADjxo3jl7/8JT/++CPfffcd8+fPDz02Ozs7KmUVQgghkllSBSiRHDlyhKeeeoqFCxeSk5NDSUkJd9xxB6tWreJf//oXubm5TJ06lR07dtCsWTMmTpxImzZtGrrYQgghREJL+gBly5Yt7N69mxEjRoRuUxSFn376CcMw+Oqrr3j44Yfp2rUra9asYfTo0Xz00UcNWGIhhBAi8SV9gGKaJm3btq016VteXl5oaKhv3748+uijHD58uEYiOSGEEEJYJyYStTWk/Px8fvrpJzZu3Bi6bevWrZimyeWXX05aWhq7du0C4PPPPyczMxOXy9VQxRVCCCGSQlItM54xYwZr1qzh4MGDuFwusrKy+OCDD9i6dSv//d//TVlZGT6fj5YtW7JgwQJUVWXbtm1MmzYNr9dLamoqU6dOpVOnTg19KkIIIURCS6oARQghhBDxIemHeIQQQggRe5JqkuyhQ0cxjJodRi5XGm53eQOUyBpS/oaVnZ1hyXEStX6ejpxf/bKqfkLkOtrQ5xcP5D06tdrqqPSgADabdvoHxTApf2JL9PdHzi++Jfr5WUHeo7qRAEUIIYQQMUcCFCGEEELEHAlQhBBCCBFzJEARCcXu0DA1Db+iYGoadoeM/YrEJfVdJLKkWsUjEpvdoXHQ46VwyWZK3BXkuFKZPKw7zTIc+Lx6QxdPCEtJfReJTnpQRMLw6oQaa4ASdwWFSzYjbbVIRFLfRaKTHhSRMHTDCDXWQSXuCnTDkIouEk6s1HevT69TrpXKKj+eIxWnf6BIWtJui4ShqSo5rtSwRjvHlYqmqqDLZaVILLFS3x12jX4Przjr5618rgBPPZRHJA4Z4hEJw6HB5GHdyXGlAoTG5GXeoEhEUt9FopMeFJEwfF6dZhkOCsdcg24YaKqKQ0MmDIqEJPVdJDoJUERC8Xl1FI5XbF3HJ221SGBS30UikyEeIYQQQsQcCVCEEEIIEXMkQBFCCCFEzJEARQghhBAxRwIUIYQQQsQcCVCEEEIIEXMkQBFCCCFEzJEARQghhBAxRwIUIYQQQsQcCVCEEEIIEXMkQBFCCCFEzJEARQghhBAxRwIUIYQQQsQcCVBEzNE0FVNT8SsKpqZid2hhf2uaVFsRvwL1WTtenzXsDq2hiyRETLI1dAFEctI0FT+gGyZuT2Uo6DA1BbfHy8wlmylxV9CjQy4D+7aj8PjfOa5UpgzrjivNjq4bDXsSQpwFTVMxFIVjXoN9B4/y7prvcHsqmTysO80yHPi8ekMXUYiYIpeiIuo0TcVd7mPyvA2MLFzLIy/+ndJyH8d8Ov/eeyQUnAD07tYqFJwAlLgrmLlkM/6GPAEhzpKmqZSW+3hs7npGzVrL/GVb+fV/tseV4aRwyWYkNhGipgbpQfnhhx/49ttvKS8vD7v9jjvuaIjiiCjSNBVdUcKCkBJ3Bc8s2czoAZ1wOmyh2wEy0uxhfwcfrxumdP+JmKdpKoePVOIDnjmpzr/03haGF3Rk5pLN6IYh9VmIk0T9M7FgwQLmzp1Lu3btcDqdodsVRZEAJcFpmsoxn46iKBGDDqfDhqfcR44rNXT/yX8D5LhS0VQFdDOq5RfibAR7TZ5ZsoEJgzpHrPMZafbj9VkFXbpRhKgu6gHKa6+9xtKlS2nXrl20X1o0MD9QfDjQaxYp6MhslMLaz4sYd3c+L723hRJ3BWs//4nJw7rXmINiA6Q5F7HMz4leE79uRKzzlV4/k4d1x6GBTyq0EGGiHqA4nU4uvvjiaL+siAG6YeJ02Fiy6puwICTHlcq4u/N57YPt3PqL1vzti58ZPaAT5zVrhF1TsWtQOKYnKICpYBgGfsCmqTJRVsQs3TApcVfQ9gIXqU4b4wfm8+K7W8Ine2emoAHeSplVJcTJohKgGMaJL5Hx48czY8YMxo4dS7NmzcIep6oyZzeRaapCpdeP21PJG6t38NTwqzha4aXsqJc3Vu9gZ5E7MEl2TE8UApVT13V8eiAYcR/zheauyGoeEes0VSHHlcqAXm2Y8/oXdLqkGdNGXs2RY1WUHfXyzppvuadvO7LS7A1dVCFiUlQClMsuuwxFUQAwzcC8gaVLl4buN00TRVHYsWPHKY8zZswYdu/ejaqqpKWl8cQTT9C+ffv6K7iwlA3IbZIWupI8cqyKyfM2hD2mxF2BYZjYTDNsCMcPNSbWzlyymcLjwYwQscYGTB3WnUqfTom7gu4d8nhq4adhwzz/3ntE6rAQtYhKgLJ27VpLjjN79mwyMjIA+Oijj5gyZQrvv/++JccW9U/XDdLtGmnZ6cwc0xNQapkAq+I3DDRVOd6LYoS6y6uT1Twilum6QVaaHV1xkONKlRVpQpylqIypnH/++aGfDz/8MOzv4M+aNWtOe5xgcAJw9OjRUK+MiB+6bmB4dVTdwI7JlGHdyXGlAoHgZPKw7ixcvpWRhWuZPG8D7nIfmqaGusurC63mESJG6bpB08zAcGSl1x+xDttkaFuIiKL+yZg7d27E2+fPn39Gz586dSq//OUveeGFF5g9e7aVRRNRpusGrjQ7z47/BQsn96ZwzDW8u+ZbNm0vBsKTstmgRjATXM0jRCxTVQVXmp2Lzstk8tDwOjx+YD6qZLoXIqKote+fffYZEJgwu3HjxtBcFIDdu3eTnp5+Rsd55plnAFi+fDlz5szhlVdeOeMyNG3aqNb7srMzar0vHsR7+cmAEnd5KDgJKnFXgKLQxJVGVpbJs+N/gc9vYLepZKanoCZQD0oi18/TSfTza9IknRJ3OQv+vJXhBR3JSLPjKffx+gc7mDikKzlxcv6nqqN1kej/9+qS6VytErUAZerUqQBUVVUxZcqU0O2KopCdnc3jjz9+Vsfr378/Tz75JG63G5fLdUbPOXToKIZRM7lXdnYGBw54zur1Y0nClF9TI85JwTTDzk8B/H6dQ5W+BihtTVY1PIlaP08nac5PU3F7Kpm5ZHPovkj1uz5e3yqR6ui5HD+R/+/VJXodP1e11aGoBSjr1q0DYOLEicyZM+esn3/s2DGOHDlCXl5e6HiZmZlkZWVZWk7RcILDOCcvJZakbCIRSODol64AACAASURBVP0W4uxEfQi/enBSPT8KnDoPSkVFBePHj6eiogJVVcnMzGTBggUyUTaBBOekFI7piW6YYat4hIh3Ur+FODtRD1C2b9/O9OnT2blzJ1VVVcCZ5UFp1qwZf/rTn6JVTNFAdN0IJWlDN+XKUiQUqd9CnLmoByiTJk3i+uuvZ+bMmWGbBQohhBBCBEU9QNmzZw8TJkyQoRkhhBBC1CrqeVBuuOEG1q9fH+2XFVGkaSqmpuJXFNA0VIeGX1EwNRVNk6RUIr7ZHRqmFqzTGnaHJDIRoj5EvQelqqqKsWPH0qVLlxqbBdZldY+ILZqmUlruC20zH0xG9foHO3B7KmWDPxHXHE4bB8qqKKxWvycP606zDAc+r8woEcJKUb+cveSSSxgxYgSdO3fmggsuCPsR8SXYU6Ifv5I0bYHfnzlpU78X393CgF5twjLDChFPNE3F5rRR5TNDwQkE6nfhks1IbCKE9aLegzJ27Nhov6SoB5qm4i738c6ab+ndrRWZjRw0Tk9BVSJv6pdxfEt52RxNxBtNUznm06k85sXnN2rZ8M+QOi2ExRrkM7Vp0yaWL19OSUkJOTk5FBQUcOWVVzZEUcRZ0jQVP+AD3lnzLf2ubc1L720JdXfPGHV1xGywnnJf6HdNVUCvmTFViFhkagr4FGa99jkP3XVFxPpt01TwSzeKEFaK+hDP0qVL+e1vf0t2djY33HADOTk5PPzww5LjJA4Ee00mz9vAAXcFvbu1CgUnELiSfPUvXzNpaLcaG6ItW7dLNvgTcUfTVEo9XjzlXkrcFaiqwviB+TXqt+yqLYT1ov5dsWjRIhYvXky7du1Ct910002MGzeOu+66K9rFEWfBD6E03Z5yH5mNHDW6uzdtL2Z4/46MHtAJp8OGaUJu01QeGdwFVUUyZ4q4Eqzzwws6kuNKRVUUlqz6psaGfw8P7iyBtxAWi/pnqrS0lNatW4fddvHFF1NWVhbtooizpBsn5pcsW7eL3w7qXMvmftAqtzF+wwik8zZBNw3QZc8REV+CdX7Zul2MuzufSq8/4oZ/MmwphPWiPsTTuXNnZs2aRUVF4EutvLycOXPmkJ+fH+2iiLOkqUqoa3tnkZtl676rMZwzZVh3nDYFdB2baaLohvSYiLgVrPM7i9y8sXoHDrvG5KHda9R56T0RwnpR/1xNmzaNCRMm0LVrVzIzMykrKyM/P5/nnnsu2kURZ+nk3Vg95V4y0hzMGNUzMHyjKSi6KfkgRNwKTgIPbubn0JRQnd9Z5ObFd7fw9IgrmTXmmhM9hMiwpRD1IeoBSk5ODm+99Rb79u3jwIED5OTk0Lx582gXQ9RB9d1YUcBzzMfU+RvCto53HV9OLES8CU4Cn1ktCduUYd1pmuGIsAOxLhv+CVHPGizveEZGBrm5uSiKQnFxMcXFxQ1VFHEWdP14vgdTCTXkgCRhE3Et0HMSuU579cBQpQxZChFdUe9B+fTTT3niiSfYu3cvpnliUpmiKOzYsSPaxRFnKXiVWeXTa0lYJUnYRHyROi1EbIp6D8rUqVMZNWoUX3zxBdu3bw/9fP3119EuiqiD4LLLsqPe0ETBoNBqBiHiiNRpIWJT1AOUqqoqbr/9dtLT09E0LexHxL6Tl13KagYR76ROCxGbov7ZGzZsGIsWLWLkyJEoilyZxJuTl10OL+hIZiMHzTJTsWHK+LyIO1KnhYhNUe9B6du3L3/605/o0qULvXv3DvsRsSG4S7FfUTA1FU07UU2CS42DDfqiFdtIsWvSkIuYJnVaiPgT9R6UcePG0bVrV2688UacTme0X16cRm1LLV1pdvTjKxiCS43Dl11KQy5ik9RpIeJT1AOU3bt3s3z5clS1wVY4i1Oovt8OnFhqWTimJ8EBOV03UEDyQIi4IHVaiPgU9Sihd+/ebNy4MdovK85Q9f12goJLLYWIR1KnhYhPUe9B8Xq9jB49mq5du9K0adOw++bMmRPt4oiTBCcMnrwBoGyGJuKV1Gkh4lPUA5Q2bdrQpk2baL+sOEMn77dTfamldHuLeCR1Woj4FPUAZezYsad9zMKFCxk5cmQUSiNOJhMGRaKROi1EfIrJmaoLFixo6CIkNV03ZO8RkVCkTgsRf2IyQKm+R48QQgghkk9MBiiSYVYIIYRIbjEZoAghhBAiucVkgCJDPEIIIURyi8mNOrt27RrxdrfbzcSJEykqKsLhcNCqVSumT59OkyZNolxCIYQQQtSnqAYohmGwefNmdu3aRUVFBc2bN6djx45cdNFFYY975ZVXIj5fURSGDx9Ojx49AJg9ezbPPvssM2fOrPeyCyGEECJ6ohagfP/994wePZri4mJM08Tv99O6dWt2795Nnz59+N3vfnfazQOzsrJCwQnAFVdcwTvvvFPfRRdCCCFElClmlCZ8DBo0iOuvv54RI0ZgGAYLFiygrKyMhx56iCeeeIKsrCyefvrpMz6eYRjcf//99OrViyFDhtRfwYUQQpxSv4dXnPVzVj5XUA8lEYkkagFK586d+eKLL0K7GPt8Pq699lo2btzI4cOHuemmm9i0adMZH2/atGkUFxfzhz/84Yx3Rj506ChGhA3CsrMzOHDAc8avHWuk/PVH01T8cMoMpNnZGZa8VqLWz9OJ9/M7XR1p6POzqn5C5DqanZ1R5wAlnv/vZ6Oh60Csq62ORm2I5/zzz+err74iPz8fgH/+859kZ2cDgaEbn893xseaPXs2P/30EwsWLDjj4ESIs6VpKu5yX409XFxpdslEKgCpI0LUp6gFKBMmTGD48OF069YN0zTZvHkzs2fPBmDHjh20a9fujI7z/PPP8/XXX7Nw4UIcDkd9FlkkOT+EvngAStwVzFyymcIxPZFUggKkjghRn6IWoPTq1Ys///nPrF+/HoDHHnuMiy++GIAOHTrw9ttvn/YYu3bt4uWXX+bCCy9k4MCBALRo0YK5c+fWX8FF0tINM/TFE1TirkA3zNhcny+iTuqIEPUnqp+hVq1a0apVq9M+rl+/fqxcubLG7W3atGHnzp31UTQhatBUhRxXatgXUI4rFU1VQJdkgkLqiBD1KSYncOzevbuhiyAENmDKsO7kuFIBQvML5MpYBEkdEaL+xOTnSDYLFLFA1w1caXYKx/Q85SoekbykjghRf2IyQBEiVui6gcLxD4puojdweUTskToiRP2QACVOVc+94PZUomlq2FWbpqkodhWfz0Q3DDRVxaGBzyvNp4hdmqaio+A3TFRVQdMCtyuAopvSMyFEEonJAEV2Mz61k3Mv9OiQywO3Xo6iKGiqit2u4vUb+Ct19h48yrtrvsPtqWTysO40y3BIkCJikqaplFb4ePuv39K7WysyGznIbJSCbhhUev2kOmyk2zUJUoRIElGfJPvqq69GvH3x4sWh36dPnx6t4sSl6rkX2l7got+1rXl8waeMKFzLpHnrOVBawcL3t/KbWWuZv2wrv/7P9rgynBQu2YzEJiJW6Si8/ddv6Xdtaxat2MZjf1jPky9/SpXXQEGh+HA5/oYupBAiaqIeoNSWs2T+/Pmh3/v16xet4sSl6rkXBvRqw0vvbQlLFDXrtc/p3a1V6O+X3tvCgF5tjudnkKtPEZv8hkHvbq0i1OfNZKQ5aJTmQI+wFYAQIjFFbYjns88+AwKb/G3cuDFsGGf37t2kp6dHqyhxr3ruhYw0e8REURlp9hp/B/IzqKBLN4qIPaqqkNnIEbE+m6ZJutMu+UWESCJRC1CmTp0KQFVVFVOmTAndrigKzZo14/HHH49WUeJeMPfCzCWb8ZT7IiaK8pT7wv6u9PqZPKx7YKKsxCciBtk0hcz0lMiJzzQVTQ1kZ5XqK0RyiFqAsm7dOgAmTpzInDlzovWyCal67gUUmHpfd55ZfGKzsklDu/He/w1k3A0mjsrKSEHDlAmyImYpuolqg0lDuzHrtc/DNt/TTQMbKrr0/gmRNKK+iufk4GTjxo1omka3bt2iXZS4Fsy9AHBhXiaFY3piGKBqCp7yKu7rdzlDb+7AobIK3lnzLSP7d8Q4i9UPp9tCXgir6bqBwxFYV/zM6J6YpolhwD++3U+Py/PQDQNVU6UuCpEkoh6g3HvvvUyYMIEuXbqwcOFClixZgqZpDB48mFH/v717DYiqXPsG/l9rzYnDgIMKYlqWJvIqBB4gRTPR1EdRSkvQ7SnDY6W7zDfxkKUp+rxm5U4tN7UtK/Up3Vnqs3NrZYqWlm4PaWqWSoqoMMDgMKe17vfDyJKRAQcZ5sT1+wTDmsW91lwM19yH654yxdPN8WuVScT1Unt3uIoHeB4A4/DKe/sdPoHWpWuctpAnDen25FeqMvGVExl4jsPcNXnyEvrM/h0wZ3UexSIhjYzHE5SzZ88iISEBAPDZZ5/ho48+QkhICEaOHEkJSh3UlkQ4K70NAEzgXeoRoS3kSUNxFrfzJiQjXKOAKEpOSsfzWPvFMWSlx0EbrITBaJV7BCkWCQlsHk9QJEkCx3G4ePEiGGNo164dAKC0tNTTTfFbSpUAiwhoVAJen5ICvcEE6WZF2SZaFSSL6FB6G3XsEaEt5ElD4ZQ8gtQKvD6lBziOQ0m5GZ/865RDwlG1dDzjGIb0aisvPY7UBWF6RiIoOyEk8Hn8/02XLl2wcOFCXLt2DY899hgA4OLFi9DpdJ5uil9SqgRcN1iQs+4gdFoNxg6Oxdsbj9SaeNS1R4S2kCcNQakSUFRqdkiUZ2QmIvOxmJoTDsZVq4uyctMR5Ezr6bmGE0K8wuOF2nJychAWFoaYmBg899xzAIDff/8dY8eO9XRT/IIg8IAgwMZxkG7uU5Jz8w1+eOqDcnIC3Eo8bq+2WVuPiDO0hTxxt8peP7NVRFZ6HGLu1eGqvgJvbzyCknIzwJxnKJIkOY1diQq2ERLwPP4/R6fT4cUXX3R47NFHH/V0M/yCIPAoMVqx+PahGa2m1iJttw/F1LVHhLaQJ+6kDlLiWonJoedkekYi1u84hdMX9dCoFJAkBsHJc/kaYpfnQQVRCAlwXvlQfOrUKfz000/Q6/UOFWVnzJjhjeb4LBGcnJwAt3pIFk3ugQtXDJAYcynxqFrY7U4reypXWJhvJiZqnrNPXmzwqyWBRhB4SByHCotYbYhx5aYjyEqPQ+7W4zBZbDUmHK7GLi2LJyTweDxB2bRpE3JycpCSkoLvv/8ejzzyCPLy8tC3b19PN8Wn2d9wmcPqhc3fnMXpi3oUl5mQu/U4XhjZGS+P64plH/5U65u3qz0itLyYuItKo4DRLEJvMCE8VC33+lW6qq9AeKgKMzITERGmqXEZvCuxS3FLSGDyeIKSm5uL3NxcdO3aFd26dcOqVauwZ88e7Nixw9NN8W0Cj9IyM3K3HnfoFv9q7zkYjFZc1VfgzQ2HkfNsT8z8SxfotOpaPzlWXRkBkTn9Z8AEDnqDCS+M7CwnRLS8mNSVUiXgupPJsB9ttw/pAPaevmbhQVAIHJpoNSgqKq/xfM5it2qPCQOHDTt/pWXxhAQYj0+SLSoqQteuXe2/nOchSRJ69+6Nb7/91tNN8VmCwMMqSlj6YfVu8fFpnbD5m7PyY1ariDc++RkCz4G7WUfibn9nicGCNZuPIXt1HnK3HseYQbHQaTW0gyypE4tYfdXY2xuPILN/ewC3Jl2rBEC02MDzdUsjKntMslfnYVLObmSv3ochvdoi5t5bKwFrmwROCPEPHk9QWrRogT///BMA0KZNG+zevRs//fQTlErlHZ7ZeNgAWK3OVy+UV1gcPoVKDJg3IbneXWHOliKv3GT/pyLU8R8IadzEGlbetIgIwdrsvpg6PB46rfqu94WqKVaHpz4oHyPPxSKE+C2PD/FkZWXh3LlzaNWqFaZNm4YZM2bAarXKux0T2GtCcHA6AbbcaJG/njM+CaHBCoSH1N5F7oqaliK3bBZKO8gSlylVAmxWyWnscpx9CDEiTAPUY25ITbEaHqqSf1ddt3cghPgejycow4YNk7/u3bs3Dh48CKvVipCQEE83xadUjqmDAww37OW8XxjZGW9uOCyP478wsjMkxpAzLQUmiw06rRo2kw28tv6fFGtaiqwUaAdZcmeCwIMJHCqsEt7/8gSmZyQ6VH+dMz4JvABERYTUe1ftmmK1WXgQ1mb3pVU8hAQIjyco+/btwz333IP7778fAKBSqXDp0iVcvnwZKSkpnm6OT6i6CqFy6eVVfQVKDBY8PyIBURHBOF9gwLptJ+XhHQBYm93XbS9gTcs5BTifUEtIpcr41RtMCNYo8eMvhSgxWBxWoIUGK2GxiQhS8PVKToDalh4zcIzVOAmcEOJfPJ6gLFy4EB9//LHDY8HBwVi4cCG+/vprTzfHJ1SOqeu0GtzbQiuvojn4SwEqzCIkBjlpqXQ3pedrqxVBxdnI3RAEHiLHQa0U0DpKC0myx+bpi3osWXcQgP37nGk9EaIQXE5OKFYJIR5PUIqKihAZGenwWGRkJK5du+bppvgMUWLQaTUYMygWr7y3X/5UOHtcN2z692mUGCyYkZlYbc+duoyxu1IrwpWlyIRUclbp+MVRXfBKVjIW5v5YrXfD1QSCYpUQAnhhFU/r1q1x4MABh8d+/PFHtGrVytNN8RkCzyGzf/tqm6It/fAQ+na7D6cv6vHR9lOYOjwea7P7IWdaSp2LUNW0YeDt+/YQ4ipnlY5XfPozysqtWJDVHcue64nXp/RAU62KYpUQUmce70F57rnn8Pzzz+PJJ59E69atkZ+fjy1btmDJkiWebopPUGkUsNgY7mke6nRlgjbYvvz69EU9Xsv9EWuz+4ITGSDwYAIPUWLQG0z2rvZa/gnUtmEgbQJI6kodpMQNk81pTHEcoFRwaN4kCAwMFpFBcYf4rIpilRACeKEHpV+/fvjggw9gNBqxZ88eGI1G5Obmol+/fnd87rJly5CamoqYmBicOXPGA61tWCqNAtdKzZi9ah/OFxjk3YMrReqCYDBaHb4XeK5aoaqX3v4eeqPVvvNxDSpXPtx+fqoVQepKpVHgWokJl66VO40p083ia7NX7cMzr+9C9uq8O8ZnVRSrhBDACwkKAMTHx2PhwoVYu3YtFi5ciPj4eJee17dvX3zyySe45557GriFnmG2MuTc7Mre/M1ZTM9IlN+YK+eg7D50Qf6+ct7J3XSBV658qHr+yvMRUhdmK8OSdQexcecZvDCys0NMzchMRFioCkWlFXc9REOxSggBvDDEY7FYsGrVKmzbtg0lJSX4+eefsW/fPpw/fx6jR4+u9bmVJfL9UdVVCQqeBy8AFquErPQ4eRPA9TtOISs9Dve20OLiFQP2HvkTzwzthKyhceB5yCsVRI6rcxc4rXwg9aFUCbCI9iqxAoD4ds2w61A+1m07iedHJKBpeBBUSh5FpRUIUinw9pb/ODy/LkM0FKuEEMALPShLlizBmTNnsHz5cnCcvcv2wQcfxIYNGzzdFI8JClY6DMnMXr0Pl67dwBufHJb3vIm5V4fTF/XI3XocksRwXwsthvRsCzXPQWCSwz47d9sFLor28ygYq9e+PaTxUGkUUGiUuG6wIHv1Pnnvm0Ep96Nft9Y4fVGP+e8dwKt/t098bx4ejGCNAnqDyeE8dR2ioVglhHi8B2XXrl3YuXMngoODwfP2/CgqKgqFhYUN/rubNg2t8WfNm2sb5HeazTYUG0xON0/LSo/DknUHsXLTEblA25zxSdCGKBEWrK5xEzVJYpg3IRmvf3BrKee8Cclo1iS4zhuv+YqGuv/+xBvxWRurVcSFQgPUSkEeigRurTB7dWJ37DqUf2sZcKgaKpXiruIz0F//QLm+2mL0bgTKfXFFY7pWd/F4gqJUKquVTi8uLkaTJk0a/HcXFZVDcrLDafPmWly7ZmiQ38kEAXqDudYVOlf1FWgTrUXOtJ5QKzlYKqwoqrA6O50sXKOQu8A1agWYVaz3fjze0pD33xPc9cbjjfisDRPsicnCSd2dxq9C4G+WluehVnIoLb11TNX4rByiqSk+/f31vxNvX587/zE6i9H6nD+QX/eqvB0Dvq6mGPL4EM/AgQPx8ssvIz8/HwBw9epVLFy4EIMHD/Z0UzxClCSUlltqXaFT2f3NiSIsJtemElbtAtdpNdQFTtyucldi8WZ12KoqY9Y+BFM9bmmIhhBSXx5PUF544QW0atUKQ4cORVlZGQYMGIDIyEg8++yzd3zu66+/jkceeQRXrlzB008/7fNJjSDwEHgeuw9dqLZCZ0ZmIjZ/c/bWCgWBB68SYOM4MIF3eUkmIe6mVAmAQgDAYUFWMvYfu4TZ47o5xG/2+CSoBO+2kxAS2DjGmOubudSTKIp45513MHXqVKhUKhQXF0On08mTZRtaQ3WhO6xw4HmoBMBqEcEEHn9eNSAsVIONO39F3273ITxUhYgwDVRKHiaziMvXy7Fx5xnoDSbMyEzER9tPQW8wVSvtXRt/7z4MhPa7g7eHeJQqASI4lBjMDmXmZ2Qm4uTvRUh56B4oBHsdHo2Sh/kOw5Cu8vfX/068fX2eGOIZMnNrnc/11RvpAf26V+XtGPB1PjHEIwgCPv30UygU9qkvERERHktOGoo6SIkKq4TrpRU4X2DA2i+O4brBYn+zlxgW/P1HXNffwKTH49EmWotm4UEI1giw2STMf28/Xsv9Eacv6uWJs8NTH6TS3sTjKuPYbBGdTuju07U11EoBwRoFVDzclpwQQkhNPD6O8PjjjwfMkmKlSsC1EhPmvbsfL7+zD7lbj2NIr7bYuPNXWET7cuDkjlEIDlLBKkqwiQyFxUZYbRKkGsp5V504Kzr5NF0b4Wb5exomInVRGcfvf3kCDMALIztjzvgkxNyrA2CPRb3BjOzV+2C2iE53JKbYI4S4m8dX8Rw7dgwff/wx3n//fbRo0cKhB+WTTz7xdHPqxSJWr+hauWRYlCSEBikwdfhDKDGYHXYpnjM+CeFaFZI7RuHHX24tr3Y2cRaia0mKKzvAEuKMRQQ27PwVj/du5xCnL4zsjHXbTkJvMEEbpMKrEx92uoM2xR4hpCF4PEEZMWIERowY4elf2zA4hqz0OGiDlTAYrXJF2PBQFTRqBQr1JpQYTFiz+Vi1st9Th8cjs38HAMCPvxTKpe3f23LcobS3q9vI11T+PmdaCvx7EI00FEHgIXEcbKKEp9M64ZW1+x3i580Nh/HXzM7gOOAf205g8uPx1UoEABR7hJCG4fEE5YknnvD0r2wQSpWAonILcrcelz81Ts9IxFd7z0GnVUOSGCxWW427FGtUCuSsO4gFWd0xrM+DCAtRI0gtYOZfOt9VaW/aAZbUhSDwKKmw4ruf89EvqQ2UCufbJzRtooHBaEGJwQKbJDmNJYo9QkhD8MpA8ebNmzF27FgMGDAAY8eOxebNm73RjLsmCLx9eOcf1Yd3nhnaCUEaBYwmK2wiq3HHV4PRiqv6CpTdMOPld/Zhwdr9EEV213UjaAdYUhcix+G7n/PRK7EVXss9AIk5r3XCGPDfH/2EzP7toeCdzzOh2COENASPJyhr1qzB2rVrMXjwYMybNw+DBw9Gbm4u1qxZ4+mm1Jkg8IAgwCQyuYhVVVf1FTAYrTj1hx6FxUa8vfEINu48U60GyvSMWzVQKuecXNVXOF1i6iraAZa4ojKGbaKEfkltsPTDQ7iqr0BRaQVmZFav1VO5K3HLZqFgHMP1UtPN1WrHoTdaIQg8xR4hpEF4/D3ks88+w/r163HPPffIj/Xs2ROjR4/G1KlTPd0clylVAgwmGwqLjdCoFAgPVSNSF+SQpETqgmCy2HBftBZMYvJOxet3nMLzIxLQrEkQrhTdwPod9lon0zMSsX7HKfm5PA/XJ53chnaAJXei0ihQZrSisNiI1lFaqFUcXhjZGQajFd/+lI+BPdpg6vB4aFQKmCw2qFUC/v7PEzdjk0P2qjyH4cwNO3/FpMfjwFHsEUIagMcTlIqKCkRERDg81qRJE5hMphqe4X2CwMMiMegNZnnCa3LHKMwe1w1LPzwEnVaDzP7tEd3MvpHWB1+ekCe+ViYh8987gOSOUZj4eBxmju4CMIb3vzyB0xf1dzUp1hlRlMDh5osqsnqdiwQWpUqA2SZBbzDjXwfOI/OxGJSUm6FRKaBUcBjYow3+tf88Uh5qiabhQbh0zYC///OEXDSwcq4VcPtqNSYnIxR7hBB38niC0qtXL7z00kuYOXMmWrZsiUuXLuGtt95Cz549Pd0Ul9kA2GwMb288Ir9JVy4P/u/ne1WrvDk9IxElBgtOX9Q77FQ8PPVBFBYboRB4NGuiweQn4vHMUIk+cZIGZ690bI/hGZmJMJptcrJdOZzzWPK9UCkVOHuxGA/eq8O0J+MRGqQCOOawHB6wJynhoao6LYUnhJC68MgclI8//lj+esKECQgJCcHQoUORmJiI9PR0aDQazJ8/3xNNuSuixJyuVPjxl0KnlTdXbrJXhK38vm2rcCya0gNhIWpYrCI++PIXZK/KQ5nRAjXP0WZqpOFxDIzdXJkTHuSQbOu0GlisorzpZFSzELz/5QkEqRVQgAE1TKDVadU0z4QQ0mA88v7y5ptvYvTo0QCAUaNG4fDhw1i6dCn0ej10Oh143rerTgo8h+slJqdzTmpaYllZETa5YxQMNyzVilhZRQkbvv4VU56I9+i1kMZJwfOwQkSkLsihinHMvTqMGRSLlZuOyPH54qguGPpIW3DgIIoSFAKPOeOTqsVwkJJ3WlWWEELcwSMJSuvWrbF06VK0a9cONpsNmzdvhrM9Cp988klPNKfOFACaaFXIHp+EEoNJnkSoDVHhhsmKBVnJ0KgUcrE2vcEEg9EqzzkpKjUhKz0OB38pQFLHaJitIrTBKmQ+FgMJoGJWpMEoVQJsDLBJ9p6QhZN7AMyeOGuDVch4LAaiKGFBVnf887uz2HUoHys+/RmvT+khT9quaQI2JSeEkIbksR6U3NxcbN++HTabx5p73wAAGdFJREFUDV988UW1YziO84kERRB4iOBgk+xzQwSBh02SoA1WQWG2wWJVorTcgt2HLmDMoFjYbKzaWH5YiAo8B4zs3wFzVufJk2ozHouRl3VWHqsL04AGd4i7KVUCGM/DdDOJuFHhWIr+1YkPw2yVMHfNrZU5s8d1AwDsOpQPgHOYtE2TYAkhnuaRBOX+++/H4sWLAQDjxo3Dhx9+6IlfW2eCwKPEaMXi27aa14aoUGqzYtO/f0XfbvchPFSFZ4Z2gsBzyM7Nq7bz618zO6O8wuqw8qFvt/vk5KTqsTnTelIPCnErpUpAmckGDkBhsRFRESHQG0zQaTW4qrfXNSksNlbbgmHph4ewIKs7jv12HQLPOS1rTwghnuLxOW6+mpwA9tU6i51sNf/qxO745N+/YEivtg5j9XPGJ8lv+pWu6isQEa6BIDiWDtcGK53OVZEYg+CRqyONhVUCQjQKlBgsDr17lUveT1/UQ6NSOI1HQeAwZ3wSeIEDo/yEEOJFvj071cNqmvAq8BzGDuqIlZuOQKfVYM74JLwwsjP0BhMmDP0/DsdH6oLAc0BokMph5YPBaHVeDpyj/hNSf4LAQ6FRQB2shErFQ5QY9AYTXhjZWU6kq64uM1lsTuNRKfDQaAR6YyCEeB29D1VR054iCgUHnrcvxxwzKBa5W48je3Ue1mw+BrVSgeSOUfKxMzITAXCwiqJD+e/dhy4g+7Zy4HOfToIAqiFB6kcQeNh4gOc5mGwibDYGww0r1mw+huzVecjdehxjBsVCp9VAG6xEpC4IUU2Dq5Wnzx6fBBEiJJEBtOydEOJlHHO2nCZAFRWVO93vpnlzLa5dM8hzUD7deWuuSUSYBhabCA4cBJ7D/Pf2O/SyROqCkDOtJ8pumKENUcNksWH9jpMY2b8DmmpVsIj2GioKnodCycFilSBJgILnIIC5pf5JZfv9VSC03x3uFJ81UWqUMFtFMAZwHMAAzF2dVy1Opw6PR3SzUCgEDiolD05icgE3+4Rw2DeshGeLBvr7638n3r4+d8Un4DxGmzfXYsjMrXU+11dvpAf0616Vt2PA19UUo1Rn6abK1TvhWjVGDugg71Rc+cly485f8Xjvdk6HgK6XVsAmStCFaRCiUWDS4/FQgMFqEausfBBhE+1dVjxgX77p8askgSYoWInCEpNDvC6c3MNpnLZsFooPvjqBrPQ4MKsEm8PKHEAS7UveKS4JIb6AhngASBJDSYUVs1fvw5mLJfKbPWB/Y89ZdxBPD+mEsBC10yGg0nIL3t54BBJjsIoSBAEwS8xhS3pC3E0TrES5SawWrwXXy53GaYXFhlEDOkCj4KhyMSHE5zXq/56CwIMJPK6XVmDxzTd5XZja6adPfZkJH+34pdo8kukZidj8zVlc1VfAZrN3ff7fv+3DpJzdyF6dJ29JT4i7CAIPpUYJk01yqApbaePOM5g9zjFO54xPQoRWjSZBSiqwRgjxC412iKdyYiGTAKlKJc1gtdJpSXtdmAZ9u92H7w/nY/HUFBSXmVBabpGXbUbqgiAIt7akB+yJzZJ1B5EzLYVqnRC3EAQeTMnBarvVA3J7vOoNJlSYrchKj4M2WAmTxQZdmBo2s80bTSaEkLvSaD/aCyoBZeVWzFmdh0k5u/Fa7gEMSnkAQRoB0zMSHT59zshMxJufHkbu1uPoEtsCFqsNVpuE3K3H5eQke3wSFDyc1zqh3nTiBiqNAoJKQEmpBV/tPScPKc7ITKy2GufL789hybqDeHPDYUSEaZxuLUEIIb6s0fagmK0ScqoUZdNpNSgtNyEiTI0WTYPx+pQeEG6uvDGbJbSOCsXpi3qs3HQEC7K6Y/2OU8hKj0Ob6DAIPAeVYN/S3lnvC89zNPOQ1ItKo8C1UjMitGqEhaqQ1rMtRElCkEoBIZzD8yMSoBB4mCw2MMYw6fF4ZKXbV+d8tfcc0no+QL14hBC/0mgTFFGU5ESiX7fWGJRyP/Ye+RPhoWqH/XJmj+uGvUf+xKCU+wHY9ykxmq04fVGP3K3H7aXqRRFWEYCCx/SMRIdqs9MzEgGOPr2S+jFbGZo2UcNkEVF+w3pbjCYhIkyNlZuO4vRFPd59uS8UAgcGDoXFRvTu3NphXx1CCPEHjXeIR+ARqQtCv26tkdk/BjzPIa1nW1htErLS4xBzr07en6RfUhss/fAQnnj0QUTqgqAvM8sTD1VV69Qz4Ku955CVHoecaSnISo/DV3vPgWqxkbtROYlbbzAhRM1DFBkE8E5i9CA4jsfw1AfluVCMA0wWEc3Cg6ALVtKqHUKI32m0PSgqJY9FU7qjwiTi718cx5BebR1qSVTdt0Tgb+1TMntcN4SHqvD6lB4I1ihgqbDK51TAvoNx1V1j54xPok+vpM4EgYfeaMWew/nI6Psgim9YoC8z4+2NR5zGKM8B4aEqzHk6CQd/KUDX2Bb2gmwCYLVQckII8T+NNkGxWCUIPI8NO3/B9IwEmMySPO/k90v2uSZZ6XHI3XoconRrnxK1SoDBaIFKIVQb0xdFCbpgJXKmpcjVOT1dlZMEBhsAi9WGYTf3zlErFGjehEfOtJ74/ZIei9f95BCjEgOahQfhhxOX0fGBZuB4IEglwFwlgSaEEH/iV0M8f/zxBzIyMjBgwABkZGTg/Pnzd30uhcAhVC1gRkYCKswirDYRVhvDtn3n0EwXgonpHREeqsLscd2w6+B5ZI9PglLJA4zharEJapXC6Zu/KErgRAkKxsCJEiUn5K4EqQU0jQiCkgPKncTn3PFdcVVfcTNGk6BQcNCoeXSPa4mIcA2CFDwlJ4QQv+ZXCcqCBQswatQofP311xg1ahReeeWVuz6XWrD3f1SY7cWulAoBHC+hV2IrfH84Hw/co0OzJkGICFMjrVdbNA1X4+sD5/Hs//sOuVuP07wS0qAkBoQoBNy4LT57d24tx2ekLgjNmgShuU4DjVqAySpCpeBgM1mpGBshxO/5TYJSVFSEkydPIi0tDQCQlpaGkydPori4+K7PWaA3IXt1ZdXXfTBbGDRqHv2S2kCUJAg8h5x1P0EUJdww2vDJ16flOhMOk2MJcTMF5zw+VSoOg1IegChJmDM+CRoVDw6AkuOgFnhYTFSMjRASGPwmQSkoKEBUVBQEwZ4ZCIKAyMhIFBQU3NX5bpgd66BU7rmjVighCBwEgYfJIkJvMEHgeajVAtZm90XOsz3RTKuiT6ikQdUWn4wBAs9Dp1VDgD2ZqTBaKTkhhASURjVJtmnTUPnrguvlTqu+ipIEhcAhSMWjsMiI7PFJCFHzMNsYwrQaqNW+ecvcuaW6N/h7+93B1fjkeR5Bah48AEFQQKNRICRE4+HWulegv/6Bcn1VY9QdAuW+uKIxXau7+OZ/Wyeio6NRWFgIURQhCAJEUcTVq1cRHR3t8jmKisohSfbJI4JCcFr1VeB5hKh5mCQJLZuHQKPgIAEQLTaUWXzzE2rz5lpcu2bwdjPuWiC03x1cjU9B4OSuT4OhAgb/vXUA/P/1vxNvX587/zFWjVF3nD+QX/eqvB0Dvq6mGPKbIZ6mTZsiNjYW27ZtAwBs27YNsbGxiIiIuKvzhaj4ajsTV/aWAICG5yGAwWi0wmSk1RDEs2qLT42Cg9FohZHikhASwPymBwUAXn31VcyePRurV69GWFgYli1bdtfnMhqtiNZpkPNsT3uFTp6TkxN64yfeRvFJCGns/CpBadu2LT777DO3nc9otIIDEH2z+81opImvxHdQfBJCGjO/GeIhhBBCSOPhVz0o9cXzNW84X9vP/AG13/8FcnzeCV2ff3D3dQTKfXFFY7pWd+EYY1QTlRBCCCE+hYZ4CCGEEOJzKEEhhBBCiM+hBIUQQgghPocSFEIIIYT4HEpQCCGEEOJzKEEhhBBCiM+hBIUQQgghPocSFEIIIYT4HEpQCCGEEOJzGk2C8scffyAjIwMDBgxARkYGzp8/X+0YURTx2muvoV+/fnjsscfcujFhfbnS/r/97W/o3r070tPTkZ6ejtdee83zDa3BsmXLkJqaipiYGJw5c8bpMb58/73Bldfcn7kSE/5Kr9dj4sSJGDBgAIYMGYLnnnsOxcXF3m6W2wV6jNZHY4mBBsUaiTFjxrAvvviCMcbYF198wcaMGVPtmH/+859swoQJTBRFVlRUxHr16sXy8/M93VSnXGn/ypUr2dKlSz3dNJccOnSIXb58mfXp04edPn3a6TG+fP+9wZXX3J+5EhP+Sq/Xsx9++EH+funSpSw7O9uLLWoYgR6j9dFYYqAhNYoelKKiIpw8eRJpaWkAgLS0NJw8ebJaNrtjxw489dRT4HkeERER6NevH/71r395o8kOXG2/L+vatSuio6NrPcZX7783BMJrfieuxIS/atKkCZKTk+XvExIScPnyZS+2yP0aQ4zWR2OIgYbWKBKUgoICREVFQRAEAIAgCIiMjERBQUG141q2bCl/Hx0djStXrni0rc642n4A2L59O4YMGYIJEybgyJEjnm5qvfjq/feGurzmxLdJkoQNGzYgNTXV201xK4pR1wVqDDQ0hbcbQNwnMzMTU6ZMgVKpRF5eHqZNm4YdO3ZAp9N5u2mENFqLFi1CcHAwRo8e7e2mEC+hGLg7jaIHJTo6GoWFhRBFEYB9MubVq1erdS9HR0c7dMEVFBSgRYsWHm2rM662v3nz5lAqlQCAlJQUREdH4+zZsx5v793y1fvvDa6+5sS3LVu2DBcuXMBbb70Fng+st1uKUdcEcgw0tEZxt5o2bYrY2Fhs27YNALBt2zbExsYiIiLC4biBAwfis88+gyRJKC4uxq5duzBgwABvNNmBq+0vLCyUvz516hQuXbqE+++/36NtrQ9fvf/e4OprTnzXihUrcOLECaxatQoqlcrbzXE7itE7C/QYaGgcY4x5uxGecO7cOcyePRtlZWUICwvDsmXL8MADD2DixImYPn064uLiIIoiFi5ciLy8PADAxIkTkZGR4eWW27nS/pdffhm//PILeJ6HUqnE9OnT0bt3b283HQDw+uuvY+fOnbh+/Tp0Oh2aNGmC7du3+83994aaXvNAUVNMBIKzZ88iLS0Nbdq0gUajAQC0atUKq1at8nLL3CvQY7Q+GksMNKRGk6AQQgghxH80iiEeQgghhPgXSlAIIYQQ4nMoQSGEEEKIz6EEhRBCCCE+hxIU0ujczSZ1JSUlePHFFzFgwAAMHjwY77zzTgO3kjRmFKPEl3kqPqmSLGl0+vbti7Fjx+Ivf/mLy8+ZPXs2Hn74YaxYsQIAcO3atYZqHiEUo8SneSo+qQfFDX7//Xekp6cjMTERH330kbeb02j9+eefiImJgc1mq/W4mjapO3r0KMaMGYNhw4Zh2LBh+O677wAA58+fx5kzZzBu3Dj52ObNm7u17Q2J4tM3uBqfAMUo8Q5few+lBMUNcnNzkZycjCNHjmDs2LHebk6tUlNTsX///jseV1xcjMzMTCQnJ6Nr167IyMjAzz//7IEWus7Va3FFWVkZFixYgDfeeANbtmzBu+++i1deeQVlZWX47bffEBUVhblz5+KJJ57AxIkT/WoLgUCMT8BeWv3NN99Ez549kZiYiMcffxxlZWUN3ELXuTM+AYpRX1GX1/Wbb75BWloaEhMTkZmZid9++62BW1c3vv4eSkM8bnD58mUMHjy4zs+z2WxQKHzzJQgJCcGSJUvQpk0bcByH3bt3Y+rUqdi/f7/Ptrk+jhw5gj///BMTJ06UH+M4DhcuXIAkSTh69ChmzpyJrl27YufOnZg6dSp27drlxRa7LhDjEwBWrlyJI0eOYNOmTWjZsiXOnj0LtVrt7WY1GIrR6nw5Rs+fP4+XXnoJa9euRUJCAt5//31MnToV//u//+uzba6PBolPRuplzJgxrEOHDqxTp04sISGBnTp1is2aNYslJyezRx99lK1atYqJosgYY2zz5s0sIyODLV68mCUlJbEVK1Yws9nMli5dynr37s26d+/O5s+fzyoqKuTz//vf/2ZDhw5liYmJrG/fvmzPnj2MMcY+//xzNnDgQJaQkMBSU1PZhg0b5OcUFRWxSZMmsS5durBu3bqxkSNHMlEU2UsvvcRiYmJYXFwcS0hIYGvXrnXpGkVRZLt372bt27dn169fr/XYlStXsueff57NnDmTJSQksLS0NPb777+zd999lz388MPskUceYXv37pWPv3LlCps8eTLr1q0b69evH9u0aZPDuaZPn85mzZrFEhIS2KBBg9ixY8cYY8zpteTn57P27duzLVu2sN69e7OkpCS2evXqGtvap08fdvr0acYYY99++y0bNWqU0+OOHTvGUlNTHR6Lj49nRUVFtd84HxCo8VlSUsISEhLYhQsX6nQ//Ck+GaMY9ecYXb9+PZs4caL8vSiKLC4uju3fv7/W++FPMdrQ8UkJihuMHj2a/c///A9jjLFZs2axKVOmMIPBwPLz81n//v3ln23evJnFxsayjz76iFmtVlZRUcEWL17MJk+ezPR6PTMYDGzy5Mls+fLljDHGjh49yjp37sz27dvHRFFkV65cYb/99htjzB4MFy5cYJIksR9//JHFx8ezEydOMMYYW758OZs/fz6zWCzMYrGwQ4cOMUmSGGP2gMrLy3P52tLS0ljHjh1Z+/bt2dy5c+94/MqVK1mnTp3Y999/z6xWK5s1axbr06cPW716NbNYLGzTpk2sT58+8vGjRo1iCxYsYCaTiZ08eZIlJyfLf8CV5/ruu++YzWZjy5cvZ0899ZT83NuvpfKPa+7cuayiooKdOnWKdezYUb5nt6v6x1VSUsJSUlLYgQMH5J8fPXqUSZLEJEliaWlp7MyZM4wxxg4ePMh69eol31NfF4jxefDgQdalSxf23nvvsR49erD+/fuzjz/++I7P86f4rDwHxah/xuj69etZVlaW/L3NZmOdOnVi69atq/V5/hSjDR2flKC4QeUfl81mYx07dmRnz56Vf7ZhwwY2evRoxpj9j6t3797yzyRJYg899JDDp8DDhw/LwTd//ny2ePFil9owdepUOfDfeustNmXKFHb+/Plqx9U1QWGMMZPJxL766iu2ZcuWOx67cuVKNn78ePn73bt3s4SEBGaz2RhjjBkMBta+fXtWWlrKLl++zDp06MAMBoN8/PLly9nLL78sn2vcuHHyz86ePcvi4uJqvJbKP66CggL5seHDh7Nt27Y5tHHRokWsV69eLDY2lvXo0YMNGjSIMWb/Yxo9ejQbMmQIGzhwIJs4caL8ye3YsWNs+PDhbMiQIWzEiBHs6NGjd7wXviIQ4/PLL79k7du3Z9nZ2fIbaXJyMtu3b1+tz/OH+GSMYjQQYvS3335jDz30EPvhhx+Y2Wxm77zzDouJiWHvvvturc/zhxj1VHwG3kCYF+n1elitVrRs2VJ+rGXLligsLJS/b9Gihfx1cXExKioqMGzYMPkxxhgkSQIAFBQU1Lgb8Z49e7Bq1SqcP38ekiTBZDKhffv2AIBnnnkG77zzDiZMmAAAyMjIwKRJk+76utRqNdLS0vBf//VfiI2NRYcOHWo9vmnTpvLXGo0GOp0OgiDI3wOA0WjE1atXER4ejtDQUPn4li1b4sSJE/L3zZo1cziX2Wy+47hz1ecEBQXBaDQ6/HzevHmYN29etefFx8dj/fr1Ts8ZFxeHzz//vMbf6Q8CKT4r4+jZZ5+FRqNBhw4dMHjwYOzZswcpKSm1PtfX4xOgGA2EGG3bti2WLl2KRYsW4dq1axgyZAjatWuHqKioOz7X12PUU/FJCYob6XQ6KJVKXL58Ge3atQNg/wOpGpAcxzkcr9FosH37dqdBGx0djYsXL1Z73GKxYPr06Vi2bBn69u0LpVKJadOmgd3cmDo0NBSzZ8/G7Nmz5aVdcXFx6N69e72uz2azIT8//44JiqsiIyNRWlqK8vJy+Q/s9vtF3CeQ4jMmJqZae6t+7Q4Un54XSDEKAAMHDsTAgQMB2Fe5bN68GXFxcXU6R20CPUZpmbEbCYKAgQMH4s0330R5eTkuXbqEf/zjHxg6dKjT43mex1NPPYUlS5agqKgIAFBYWIi9e/cCAJ588kls2bIFBw4cgCRJKCwsxLlz52CxWGCxWBAREQGFQoE9e/YgLy9PPu+3336LCxcugDEGrVYLQRDkP+pmzZohPz//jtfyn//8Bz/99BMsFgtMJhPWrl2L69evIz4+vr63SRYdHY3ExESsWLECZrMZv/76Kz7//PMa79ftXL0WYhdI8Xnvvfeia9euePfdd2GxWHDu3Dls374dffr0qe9tklF8el4gxSgAnDhxAqIoori4GPPnz0dqairatm1bn1vkINBjlBIUN5s/fz6CgoLQr18/jBo1CmlpaRg+fHiNx8+aNQv33XcfRowYgc6dO2P8+PH4448/ANi7y3JycrBkyRJ06dIFo0ePxuXLlxEaGop58+bhr3/9K7p164Zt27YhNTVVPueFCxfw9NNPIzExERkZGRg5ciQefvhhAMCkSZOwZs0adO3aFe+//36N7bJYLFi4cCGSk5PxyCOP4Pvvv8fatWvdnpmvWLECly5dQq9evfDcc8/h+eefR48ePVx6rqvXQm4JlPgEbsVOcnIyJk2ahBkzZtS7l7Cm30Hx6TmBFKOLFy9G165dMXDgQISHh2PRokVuuEOOAjlGOVbZp0UIIYQQ4iOoB4UQQgghPocmyTZiX375JRYsWFDt8ZYtW2L79u01Pi8rK8tp2fvJkydjypQpbm0jabwoPomvoxhtWDTEQwghhBCfQ0M8hBBCCPE5lKAQQgghxOdQgkIIIYQQn0MJCiGEEEJ8DiUohBBCCPE5/x9UL9YP63SsaAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 540x540 with 12 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "87taY2xLMs9R",
        "colab_type": "text"
      },
      "source": [
        "- Almost perfectly positive relation is visible among forecast of 3,6 & 9 months. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bEsCM9MubWnP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 746
        },
        "outputId": "f6375fee-554b-464c-fe15-fa905a1bc59e"
      },
      "source": [
        "sales_df = pd.DataFrame(df[['sales_1_month','sales_3_month','sales_6_month','sales_9_month']])\n",
        "sns.pairplot(data=sales_df)\n",
        "plt.show()"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x720 with 20 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6wbe9eFseNP9",
        "colab_type": "text"
      },
      "source": [
        "- There is notable pattern in sales."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4XFv6-rnVE-P",
        "colab_type": "text"
      },
      "source": [
        "- **Removing outliers from lead_time**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lDZYNLmfV5CE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "a584e8f5-2ac1-4c7f-e617-8db71937bcc9"
      },
      "source": [
        "min_thresold = df['lead_time'].quantile(.02)\n",
        "min_thresold"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "schgzLRFQwIc",
        "colab_type": "code",
        "outputId": "b0993b13-cfed-43f3-bd2a-e647c95dc6c8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "max_thresold = df['lead_time'].quantile(0.98)\n",
        "max_thresold"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "17.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-tW6Gq4WS5F-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Dropping outliers\n",
        "df = df[(df['lead_time']<max_thresold) & (df['lead_time']>min_thresold)]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GMUXWAH7OqLo",
        "colab_type": "code",
        "outputId": "619da2a4-f80f-4c2d-ab38-b238f38202a5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        }
      },
      "source": [
        "sns.FacetGrid(df,hue=\"went_on_backorder\",height=5).map(sns.distplot,\"lead_time\").add_legend();    \n",
        "plt.show()"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 485.55x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vRmX7QToPSd6",
        "colab_type": "text"
      },
      "source": [
        "- Amount of product being backorderd is at peek when the transit time is around 8."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Qs_idcrRjU_u",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 137
        },
        "outputId": "77e9d745-8278-489a-c03f-93c9db0aac5b"
      },
      "source": [
        "pd.crosstab(df.potential_issue, df.went_on_backorder,normalize='index')"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>went_on_backorder</th>\n",
              "      <th>No</th>\n",
              "      <th>Yes</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>potential_issue</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.993946</td>\n",
              "      <td>0.006054</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.938517</td>\n",
              "      <td>0.061483</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "went_on_backorder        No       Yes\n",
              "potential_issue                      \n",
              "0                  0.993946  0.006054\n",
              "1                  0.938517  0.061483"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_wIDy1HGjqH9",
        "colab_type": "text"
      },
      "source": [
        "- Most of the products which were backorderd did not have any potential issue.\n",
        "- There are only around 6% products with potential issues were  backorderd."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sp3ywC72j9Jq",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 322
        },
        "outputId": "f356b1dd-c44f-4a78-8224-d7fe91bcb988"
      },
      "source": [
        "corr_df = df.drop(columns=['sku','deck_risk','oe_constraint','ppap_risk','stop_auto_buy','rev_stop'])\n",
        "corr_mat = corr_df.corr()\n",
        "corr_mat.style.background_gradient(cmap='coolwarm')"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col0 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col1 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col2 {\n",
              "            background-color:  #5470de;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col3 {\n",
              "            background-color:  #516ddb;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col4 {\n",
              "            background-color:  #516ddb;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col5 {\n",
              "            background-color:  #516ddb;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col6 {\n",
              "            background-color:  #6687ed;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col7 {\n",
              "            background-color:  #7a9df8;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col8 {\n",
              "            background-color:  #88abfd;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col9 {\n",
              "            background-color:  #8fb1fe;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col10 {\n",
              "            background-color:  #d8dce2;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col11 {\n",
              "            background-color:  #4358cb;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col12 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col13 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col14 {\n",
              "            background-color:  #3e51c5;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col0 {\n",
              "            background-color:  #4358cb;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col1 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col2 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col3 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col4 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col5 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col6 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col7 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col8 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col9 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col10 {\n",
              "            background-color:  #3c4ec2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col11 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col12 {\n",
              "            background-color:  #465ecf;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col13 {\n",
              "            background-color:  #455cce;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col14 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col0 {\n",
              "            background-color:  #5b7ae5;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col1 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col2 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col3 {\n",
              "            background-color:  #f7b093;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col4 {\n",
              "            background-color:  #f6a385;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col5 {\n",
              "            background-color:  #f7a889;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col6 {\n",
              "            background-color:  #e5d8d1;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col7 {\n",
              "            background-color:  #f5c1a9;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col8 {\n",
              "            background-color:  #f6bea4;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col9 {\n",
              "            background-color:  #f5c2aa;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col10 {\n",
              "            background-color:  #f7a889;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col11 {\n",
              "            background-color:  #7396f5;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col12 {\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col13 {\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col14 {\n",
              "            background-color:  #485fd1;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col0 {\n",
              "            background-color:  #5875e1;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col1 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col2 {\n",
              "            background-color:  #f7b093;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col3 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col4 {\n",
              "            background-color:  #b70d28;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col5 {\n",
              "            background-color:  #be242e;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col6 {\n",
              "            background-color:  #f7af91;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col7 {\n",
              "            background-color:  #ec8165;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col8 {\n",
              "            background-color:  #e9785d;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col9 {\n",
              "            background-color:  #ee8468;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col10 {\n",
              "            background-color:  #ea7b60;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col11 {\n",
              "            background-color:  #9ebeff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col12 {\n",
              "            background-color:  #445acc;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col13 {\n",
              "            background-color:  #4358cb;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col14 {\n",
              "            background-color:  #465ecf;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col0 {\n",
              "            background-color:  #5875e1;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col1 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col2 {\n",
              "            background-color:  #f6a385;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col3 {\n",
              "            background-color:  #b70d28;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col4 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col5 {\n",
              "            background-color:  #b50927;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col6 {\n",
              "            background-color:  #f7a688;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col7 {\n",
              "            background-color:  #e46e56;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col8 {\n",
              "            background-color:  #e0654f;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col9 {\n",
              "            background-color:  #e57058;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col10 {\n",
              "            background-color:  #e7745b;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col11 {\n",
              "            background-color:  #9fbfff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col12 {\n",
              "            background-color:  #445acc;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col13 {\n",
              "            background-color:  #4358cb;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col14 {\n",
              "            background-color:  #465ecf;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col0 {\n",
              "            background-color:  #5875e1;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col1 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col2 {\n",
              "            background-color:  #f7a889;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col3 {\n",
              "            background-color:  #be242e;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col4 {\n",
              "            background-color:  #b50927;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col5 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col6 {\n",
              "            background-color:  #f59f80;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col7 {\n",
              "            background-color:  #dd5f4b;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col8 {\n",
              "            background-color:  #d65244;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col9 {\n",
              "            background-color:  #de614d;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col10 {\n",
              "            background-color:  #e8765c;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col11 {\n",
              "            background-color:  #a1c0ff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col12 {\n",
              "            background-color:  #445acc;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col13 {\n",
              "            background-color:  #4358cb;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col14 {\n",
              "            background-color:  #465ecf;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col0 {\n",
              "            background-color:  #6c8ff1;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col1 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col2 {\n",
              "            background-color:  #e5d8d1;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col3 {\n",
              "            background-color:  #f7af91;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col4 {\n",
              "            background-color:  #f7a688;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col5 {\n",
              "            background-color:  #f59f80;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col6 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col7 {\n",
              "            background-color:  #d75445;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col8 {\n",
              "            background-color:  #e36c55;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col9 {\n",
              "            background-color:  #ed8366;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col10 {\n",
              "            background-color:  #f7b89c;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col11 {\n",
              "            background-color:  #84a7fc;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col12 {\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col13 {\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col14 {\n",
              "            background-color:  #485fd1;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col0 {\n",
              "            background-color:  #80a3fa;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col1 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col2 {\n",
              "            background-color:  #f5c1a9;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col3 {\n",
              "            background-color:  #ec8165;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col4 {\n",
              "            background-color:  #e46e56;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col5 {\n",
              "            background-color:  #dd5f4b;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col6 {\n",
              "            background-color:  #d75445;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col7 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col8 {\n",
              "            background-color:  #b8122a;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col9 {\n",
              "            background-color:  #c73635;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col10 {\n",
              "            background-color:  #ed8366;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col11 {\n",
              "            background-color:  #98b9ff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col12 {\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col13 {\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col14 {\n",
              "            background-color:  #4a63d3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col0 {\n",
              "            background-color:  #8fb1fe;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col1 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col2 {\n",
              "            background-color:  #f6bea4;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col3 {\n",
              "            background-color:  #e9785d;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col4 {\n",
              "            background-color:  #e0654f;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col5 {\n",
              "            background-color:  #d65244;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col6 {\n",
              "            background-color:  #e36c55;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col7 {\n",
              "            background-color:  #b8122a;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col8 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col9 {\n",
              "            background-color:  #be242e;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col10 {\n",
              "            background-color:  #e67259;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col11 {\n",
              "            background-color:  #9abbff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col12 {\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col13 {\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col14 {\n",
              "            background-color:  #4961d2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col0 {\n",
              "            background-color:  #94b6ff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col1 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col2 {\n",
              "            background-color:  #f5c2aa;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col3 {\n",
              "            background-color:  #ee8468;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col4 {\n",
              "            background-color:  #e57058;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col5 {\n",
              "            background-color:  #de614d;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col6 {\n",
              "            background-color:  #ed8366;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col7 {\n",
              "            background-color:  #c73635;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col8 {\n",
              "            background-color:  #be242e;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col9 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col10 {\n",
              "            background-color:  #e9785d;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col11 {\n",
              "            background-color:  #97b8ff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col12 {\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col13 {\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col14 {\n",
              "            background-color:  #465ecf;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col0 {\n",
              "            background-color:  #dadce0;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col1 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col2 {\n",
              "            background-color:  #f7a98b;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col3 {\n",
              "            background-color:  #ea7b60;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col4 {\n",
              "            background-color:  #e7745b;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col5 {\n",
              "            background-color:  #e8765c;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col6 {\n",
              "            background-color:  #f7b99e;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col7 {\n",
              "            background-color:  #ed8366;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col8 {\n",
              "            background-color:  #e67259;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col9 {\n",
              "            background-color:  #e9785d;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col10 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col11 {\n",
              "            background-color:  #96b7ff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col12 {\n",
              "            background-color:  #3f53c6;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col13 {\n",
              "            background-color:  #4055c8;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col14 {\n",
              "            background-color:  #4a63d3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col0 {\n",
              "            background-color:  #4b64d5;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col1 {\n",
              "            background-color:  #3c4ec2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col2 {\n",
              "            background-color:  #7597f6;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col3 {\n",
              "            background-color:  #9fbfff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col4 {\n",
              "            background-color:  #a1c0ff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col5 {\n",
              "            background-color:  #a2c1ff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col6 {\n",
              "            background-color:  #85a8fc;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col7 {\n",
              "            background-color:  #9abbff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col8 {\n",
              "            background-color:  #9bbcff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col9 {\n",
              "            background-color:  #98b9ff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col10 {\n",
              "            background-color:  #98b9ff;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col11 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col12 {\n",
              "            background-color:  #4358cb;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col13 {\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col14 {\n",
              "            background-color:  #3e51c5;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col0 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col1 {\n",
              "            background-color:  #3f53c6;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col2 {\n",
              "            background-color:  #3c4ec2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col3 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col4 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col5 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col6 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col7 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col8 {\n",
              "            background-color:  #3c4ec2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col9 {\n",
              "            background-color:  #3c4ec2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col10 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col11 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col12 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col13 {\n",
              "            background-color:  #e26952;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col14 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col0 {\n",
              "            background-color:  #3c4ec2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col1 {\n",
              "            background-color:  #4055c8;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col2 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col3 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col4 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col5 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col6 {\n",
              "            background-color:  #3c4ec2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col7 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col8 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col9 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col10 {\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col11 {\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col12 {\n",
              "            background-color:  #e26952;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col13 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col14 {\n",
              "            background-color:  #3c4ec2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col0 {\n",
              "            background-color:  #465ecf;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col1 {\n",
              "            background-color:  #3c4ec2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col2 {\n",
              "            background-color:  #4961d2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col3 {\n",
              "            background-color:  #4961d2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col4 {\n",
              "            background-color:  #4961d2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col5 {\n",
              "            background-color:  #4961d2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col6 {\n",
              "            background-color:  #4961d2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col7 {\n",
              "            background-color:  #4b64d5;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col8 {\n",
              "            background-color:  #4a63d3;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col9 {\n",
              "            background-color:  #4961d2;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col10 {\n",
              "            background-color:  #4e68d8;\n",
              "            color:  #000000;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col11 {\n",
              "            background-color:  #3e51c5;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col12 {\n",
              "            background-color:  #4358cb;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col13 {\n",
              "            background-color:  #4358cb;\n",
              "            color:  #f1f1f1;\n",
              "        }    #T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col14 {\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }</style><table id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >national_inv</th>        <th class=\"col_heading level0 col1\" >lead_time</th>        <th class=\"col_heading level0 col2\" >in_transit_qty</th>        <th class=\"col_heading level0 col3\" >forecast_3_month</th>        <th class=\"col_heading level0 col4\" >forecast_6_month</th>        <th class=\"col_heading level0 col5\" >forecast_9_month</th>        <th class=\"col_heading level0 col6\" >sales_1_month</th>        <th class=\"col_heading level0 col7\" >sales_3_month</th>        <th class=\"col_heading level0 col8\" >sales_6_month</th>        <th class=\"col_heading level0 col9\" >sales_9_month</th>        <th class=\"col_heading level0 col10\" >min_bank</th>        <th class=\"col_heading level0 col11\" >pieces_past_due</th>        <th class=\"col_heading level0 col12\" >perf_6_month_avg</th>        <th class=\"col_heading level0 col13\" >perf_12_month_avg</th>        <th class=\"col_heading level0 col14\" >local_bo_qty</th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >national_inv</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col1\" class=\"data row0 col1\" >-0.000961</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.077356</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.067317</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col4\" class=\"data row0 col4\" >0.068822</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col5\" class=\"data row0 col5\" >0.067846</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col6\" class=\"data row0 col6\" >0.131245</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col7\" class=\"data row0 col7\" >0.189865</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col8\" class=\"data row0 col8\" >0.230767</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col9\" class=\"data row0 col9\" >0.248420</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col10\" class=\"data row0 col10\" >0.473228</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col11\" class=\"data row0 col11\" >0.025717</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col12\" class=\"data row0 col12\" >-0.031533</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col13\" class=\"data row0 col13\" >-0.027414</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row0_col14\" class=\"data row0 col14\" >0.011566</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >lead_time</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col0\" class=\"data row1 col0\" >-0.000961</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col1\" class=\"data row1 col1\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col2\" class=\"data row1 col2\" >-0.008952</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col3\" class=\"data row1 col3\" >-0.008519</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col4\" class=\"data row1 col4\" >-0.009399</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col5\" class=\"data row1 col5\" >-0.009613</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col6\" class=\"data row1 col6\" >-0.006616</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col7\" class=\"data row1 col7\" >-0.008728</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col8\" class=\"data row1 col8\" >-0.009209</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col9\" class=\"data row1 col9\" >-0.010025</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col10\" class=\"data row1 col10\" >-0.010079</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col11\" class=\"data row1 col11\" >-0.002469</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col12\" class=\"data row1 col12\" >0.009021</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col13\" class=\"data row1 col13\" >0.012575</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row1_col14\" class=\"data row1 col14\" >-0.003499</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >in_transit_qty</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col0\" class=\"data row2 col0\" >0.077356</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col1\" class=\"data row2 col1\" >-0.008952</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col2\" class=\"data row2 col2\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.687686</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col4\" class=\"data row2 col4\" >0.721868</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col5\" class=\"data row2 col5\" >0.711115</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col6\" class=\"data row2 col6\" >0.529005</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col7\" class=\"data row2 col7\" >0.630053</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col8\" class=\"data row2 col8\" >0.644740</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col9\" class=\"data row2 col9\" >0.625633</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col10\" class=\"data row2 col10\" >0.707457</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col11\" class=\"data row2 col11\" >0.175433</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col12\" class=\"data row2 col12\" >-0.003459</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col13\" class=\"data row2 col13\" >-0.000181</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row2_col14\" class=\"data row2 col14\" >0.041882</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >forecast_3_month</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col0\" class=\"data row3 col0\" >0.067317</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col1\" class=\"data row3 col1\" >-0.008519</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col2\" class=\"data row3 col2\" >0.687686</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col3\" class=\"data row3 col3\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col4\" class=\"data row3 col4\" >0.988651</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col5\" class=\"data row3 col5\" >0.971465</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col6\" class=\"data row3 col6\" >0.690576</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col7\" class=\"data row3 col7\" >0.806739</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col8\" class=\"data row3 col8\" >0.823338</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col9\" class=\"data row3 col9\" >0.798244</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col10\" class=\"data row3 col10\" >0.815046</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col11\" class=\"data row3 col11\" >0.298021</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col12\" class=\"data row3 col12\" >0.001143</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col13\" class=\"data row3 col13\" >0.001955</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row3_col14\" class=\"data row3 col14\" >0.038761</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >forecast_6_month</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col0\" class=\"data row4 col0\" >0.068822</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col1\" class=\"data row4 col1\" >-0.009399</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col2\" class=\"data row4 col2\" >0.721868</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col3\" class=\"data row4 col3\" >0.988651</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col4\" class=\"data row4 col4\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col5\" class=\"data row4 col5\" >0.993186</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col6\" class=\"data row4 col6\" >0.714244</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col7\" class=\"data row4 col7\" >0.843598</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col8\" class=\"data row4 col8\" >0.864841</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col9\" class=\"data row4 col9\" >0.839230</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col10\" class=\"data row4 col10\" >0.832715</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col11\" class=\"data row4 col11\" >0.301778</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col12\" class=\"data row4 col12\" >0.000943</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col13\" class=\"data row4 col13\" >0.001489</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row4_col14\" class=\"data row4 col14\" >0.039165</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >forecast_9_month</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col0\" class=\"data row5 col0\" >0.067846</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col1\" class=\"data row5 col1\" >-0.009613</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col2\" class=\"data row5 col2\" >0.711115</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col3\" class=\"data row5 col3\" >0.971465</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col4\" class=\"data row5 col4\" >0.993186</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col5\" class=\"data row5 col5\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col6\" class=\"data row5 col6\" >0.734935</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col7\" class=\"data row5 col7\" >0.874147</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col8\" class=\"data row5 col8\" >0.897874</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col9\" class=\"data row5 col9\" >0.871460</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col10\" class=\"data row5 col10\" >0.827662</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col11\" class=\"data row5 col11\" >0.303770</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col12\" class=\"data row5 col12\" >0.000716</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col13\" class=\"data row5 col13\" >0.001077</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row5_col14\" class=\"data row5 col14\" >0.038958</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >sales_1_month</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col0\" class=\"data row6 col0\" >0.131245</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col1\" class=\"data row6 col1\" >-0.006616</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col2\" class=\"data row6 col2\" >0.529005</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.690576</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col4\" class=\"data row6 col4\" >0.714244</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col5\" class=\"data row6 col5\" >0.734935</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col6\" class=\"data row6 col6\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col7\" class=\"data row6 col7\" >0.894208</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col8\" class=\"data row6 col8\" >0.848251</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col9\" class=\"data row6 col9\" >0.801590</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col10\" class=\"data row6 col10\" >0.659622</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col11\" class=\"data row6 col11\" >0.223010</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col12\" class=\"data row6 col12\" >-0.003622</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col13\" class=\"data row6 col13\" >0.000329</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row6_col14\" class=\"data row6 col14\" >0.043516</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >sales_3_month</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col0\" class=\"data row7 col0\" >0.189865</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col1\" class=\"data row7 col1\" >-0.008728</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col2\" class=\"data row7 col2\" >0.630053</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col3\" class=\"data row7 col3\" >0.806739</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col4\" class=\"data row7 col4\" >0.843598</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col5\" class=\"data row7 col5\" >0.874147</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col6\" class=\"data row7 col6\" >0.894208</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col7\" class=\"data row7 col7\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col8\" class=\"data row7 col8\" >0.985952</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col9\" class=\"data row7 col9\" >0.945800</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col10\" class=\"data row7 col10\" >0.799577</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col11\" class=\"data row7 col11\" >0.281042</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col12\" class=\"data row7 col12\" >-0.004831</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col13\" class=\"data row7 col13\" >-0.000246</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row7_col14\" class=\"data row7 col14\" >0.049030</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >sales_6_month</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col0\" class=\"data row8 col0\" >0.230767</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col1\" class=\"data row8 col1\" >-0.009209</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col2\" class=\"data row8 col2\" >0.644740</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col3\" class=\"data row8 col3\" >0.823338</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col4\" class=\"data row8 col4\" >0.864841</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col5\" class=\"data row8 col5\" >0.897874</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col6\" class=\"data row8 col6\" >0.848251</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col7\" class=\"data row8 col7\" >0.985952</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col8\" class=\"data row8 col8\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col9\" class=\"data row8 col9\" >0.969635</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col10\" class=\"data row8 col10\" >0.835999</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col11\" class=\"data row8 col11\" >0.283608</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col12\" class=\"data row8 col12\" >-0.005038</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col13\" class=\"data row8 col13\" >-0.000873</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row8_col14\" class=\"data row8 col14\" >0.044421</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >sales_9_month</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col0\" class=\"data row9 col0\" >0.248420</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col1\" class=\"data row9 col1\" >-0.010025</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col2\" class=\"data row9 col2\" >0.625633</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col3\" class=\"data row9 col3\" >0.798244</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col4\" class=\"data row9 col4\" >0.839230</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col5\" class=\"data row9 col5\" >0.871460</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col6\" class=\"data row9 col6\" >0.801590</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col7\" class=\"data row9 col7\" >0.945800</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col8\" class=\"data row9 col8\" >0.969635</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col9\" class=\"data row9 col9\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col10\" class=\"data row9 col10\" >0.824496</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col11\" class=\"data row9 col11\" >0.276110</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col12\" class=\"data row9 col12\" >-0.005108</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col13\" class=\"data row9 col13\" >-0.001162</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row9_col14\" class=\"data row9 col14\" >0.039096</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >min_bank</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col0\" class=\"data row10 col0\" >0.473228</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col1\" class=\"data row10 col1\" >-0.010079</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col2\" class=\"data row10 col2\" >0.707457</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col3\" class=\"data row10 col3\" >0.815046</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col4\" class=\"data row10 col4\" >0.832715</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col5\" class=\"data row10 col5\" >0.827662</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col6\" class=\"data row10 col6\" >0.659622</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col7\" class=\"data row10 col7\" >0.799577</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col8\" class=\"data row10 col8\" >0.835999</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col9\" class=\"data row10 col9\" >0.824496</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col10\" class=\"data row10 col10\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col11\" class=\"data row10 col11\" >0.272269</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col12\" class=\"data row10 col12\" >-0.015217</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col13\" class=\"data row10 col13\" >-0.005558</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row10_col14\" class=\"data row10 col14\" >0.049333</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >pieces_past_due</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col0\" class=\"data row11 col0\" >0.025717</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col1\" class=\"data row11 col1\" >-0.002469</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col2\" class=\"data row11 col2\" >0.175433</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col3\" class=\"data row11 col3\" >0.298021</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col4\" class=\"data row11 col4\" >0.301778</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col5\" class=\"data row11 col5\" >0.303770</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col6\" class=\"data row11 col6\" >0.223010</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col7\" class=\"data row11 col7\" >0.281042</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col8\" class=\"data row11 col8\" >0.283608</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col9\" class=\"data row11 col9\" >0.276110</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col10\" class=\"data row11 col10\" >0.272269</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col11\" class=\"data row11 col11\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col12\" class=\"data row11 col12\" >-0.000957</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col13\" class=\"data row11 col13\" >-0.000914</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row11_col14\" class=\"data row11 col14\" >0.011931</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >perf_6_month_avg</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col0\" class=\"data row12 col0\" >-0.031533</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col1\" class=\"data row12 col1\" >0.009021</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col2\" class=\"data row12 col2\" >-0.003459</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col3\" class=\"data row12 col3\" >0.001143</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col4\" class=\"data row12 col4\" >0.000943</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col5\" class=\"data row12 col5\" >0.000716</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col6\" class=\"data row12 col6\" >-0.003622</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col7\" class=\"data row12 col7\" >-0.004831</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col8\" class=\"data row12 col8\" >-0.005038</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col9\" class=\"data row12 col9\" >-0.005108</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col10\" class=\"data row12 col10\" >-0.015217</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col11\" class=\"data row12 col11\" >-0.000957</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col12\" class=\"data row12 col12\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col13\" class=\"data row12 col13\" >0.851646</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row12_col14\" class=\"data row12 col14\" >-0.000364</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >perf_12_month_avg</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col0\" class=\"data row13 col0\" >-0.027414</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col1\" class=\"data row13 col1\" >0.012575</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col2\" class=\"data row13 col2\" >-0.000181</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col3\" class=\"data row13 col3\" >0.001955</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col4\" class=\"data row13 col4\" >0.001489</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col5\" class=\"data row13 col5\" >0.001077</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col6\" class=\"data row13 col6\" >0.000329</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col7\" class=\"data row13 col7\" >-0.000246</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col8\" class=\"data row13 col8\" >-0.000873</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col9\" class=\"data row13 col9\" >-0.001162</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col10\" class=\"data row13 col10\" >-0.005558</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col11\" class=\"data row13 col11\" >-0.000914</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col12\" class=\"data row13 col12\" >0.851646</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col13\" class=\"data row13 col13\" >1.000000</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row13_col14\" class=\"data row13 col14\" >0.001221</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >local_bo_qty</th>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col0\" class=\"data row14 col0\" >0.011566</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col1\" class=\"data row14 col1\" >-0.003499</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col2\" class=\"data row14 col2\" >0.041882</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col3\" class=\"data row14 col3\" >0.038761</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col4\" class=\"data row14 col4\" >0.039165</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col5\" class=\"data row14 col5\" >0.038958</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col6\" class=\"data row14 col6\" >0.043516</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col7\" class=\"data row14 col7\" >0.049030</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col8\" class=\"data row14 col8\" >0.044421</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col9\" class=\"data row14 col9\" >0.039096</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col10\" class=\"data row14 col10\" >0.049333</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col11\" class=\"data row14 col11\" >0.011931</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col12\" class=\"data row14 col12\" >-0.000364</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col13\" class=\"data row14 col13\" >0.001221</td>\n",
              "                        <td id=\"T_9eb2e3d2_a01b_11ea_a59f_0242ac1c0002row14_col14\" class=\"data row14 col14\" >1.000000</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f181fd55ba8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T40_M-RVQ4GN",
        "colab_type": "text"
      },
      "source": [
        "- Sales as well as forecast attributes are highly correlated."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UOMNnEAiTyLM",
        "colab_type": "text"
      },
      "source": [
        "- **Feature Importance by Tree-based estimators**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LzfJHnV_Rb1q",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 158
        },
        "outputId": "06391b8d-5fbb-40d8-9598-d74c135ce2e6"
      },
      "source": [
        "from sklearn.ensemble import RandomForestClassifier\n",
        "clf = RandomForestClassifier(random_state=0)\n",
        "X = df.drop(columns=[\"sku\",\"went_on_backorder\"])\n",
        "y = df['went_on_backorder']\n",
        "clf.fit(X,y)"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,\n",
              "                       criterion='gini', max_depth=None, max_features='auto',\n",
              "                       max_leaf_nodes=None, max_samples=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, n_estimators=100,\n",
              "                       n_jobs=None, oob_score=False, random_state=0, verbose=0,\n",
              "                       warm_start=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Qp7R5XZqSJDH",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 610
        },
        "outputId": "6cd5963f-a791-4c95-966f-f530bc1fdb79"
      },
      "source": [
        "pd.Series(clf.feature_importances_, index = X.columns).nlargest(15).plot(kind = 'barh',\\\n",
        "                                                                               figsize = (10, 10),\\\n",
        "                                                                              title = 'Feature importance from RandomForest').invert_yaxis();"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAArIAAAJRCAYAAAC5qVSsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdeUBVdf7/8ScXBBU0hcixMnOZcMvACNJMEndcACnTMp10dLQcNSNNc0nGJVxLrciynBkzEpUU0zKdlMykqVwywUZccUNxA2S7l/P7w2/3Fwnigl6OvB5/cc/2eZ/zQXzx4XPOcTIMw0BERERExGQsji5AREREROR6KMiKiIiIiCkpyIqIiIiIKSnIioiIiIgpKciKiIiIiCkpyIqIiIiIKSnIiohco5iYGF577TVHl1Gu7d+/n9DQUPz8/PjXv/7l6HJuqldffZW5c+c6ugyRCsnF0QWISMUSHBzM6dOncXZ2ti/74osvqFWr1g0dc8qUKbRq1aosSizVkCFDbkk7V2P+/PkcOnSIWbNmObqUIj744AMCAwNZtWqVQ9r38fGhSpUqODk54eHhQUhICKNHjy7yfVfeJSUl0b9/f6pUqWJfFhgYSExMzC1pPy0tjXbt2vHLL7/g4qK4IOWTvjNF5JaLiYm5ZaHzalitVlP+R221Wh1dQomOHTtG165dS1xvs9lueqhctWoVdevW5dChQ/Tt25cGDRrQq1evm9pmWbvrrrtITEy8oWPcimst4iiaWiAi5UJmZibjxo2jdevWPP7448ydOxebzQbA4cOH6devH4GBgQQGBvLyyy9z4cIFAF555RWOHTvGkCFD8PPz4/333ycpKYk2bdoUOX5wcDBbt24FLo1iDh8+nMjISFq0aEF8fPwV2/+j+fPnExkZCVwatfLx8WHFihUEBQXxyCOP8Mknn7Br1y66d++Ov78/UVFR9n1XrlxJ7969iYqK4uGHH6Zz585899139vUnT55kyJAhBAQE0KFDB5YtW1ak3d/XHRsby3vvvce6devw8/OjR48eAKxYsYIuXbrg5+dHu3btiI2NtR/jt2vz4Ycf0rJlS1q3bs2KFSvs63Nzc3njjTdo27YtDz/8MH369CE3NxeAHTt20Lt3b/z9/enRowdJSUnFXp9+/fqRlJREVFQUfn5+HDhwgFdffZVJkyYxaNAgfH19SUpKIjU1leeeew5/f3+6du3Kxo0b7cd49dVXef311/nrX/+Kn58fvXv35tSpU0ydOpVHHnmEzp07s2fPnmLb/6O6devSokULkpOT7cumTJlCUFAQLVq0oGfPnvzwww9FrvOIESMYPXo0fn5+dO3alZ9//tm+fs+ePYSHh+Pn58fIkSPJy8sr0t6yZcvo0KEDAQEBDBkyhJMnT9rX+fj48PHHH9OxY0f8/Px48803OXz4ML1796ZFixaMGDGC/Pz8Us+ptGv3x2t98uRJ/v73v/Poo48SHBxcZLrHrl276NmzJy1atKBVq1ZMnz4dgL59+wLwyCOP4Ofnx/bt26/qeovcUoaIyC3Utm1b49tvv71s+QsvvGBMmDDByM7ONk6fPm1EREQYn3zyiWEYhnHw4EFjy5YtRl5enpGRkWE888wzxpQpU0o85rZt24zHH3+8xHbnzZtnNGnSxPjqq68Mm81m5OTkXLH9P5o3b57x8ssvG4ZhGEeOHDEeeOABY8KECUZubq7xzTffGM2aNTOGDh1qnD592jhx4oTx6KOPGklJSYZhGMaKFSuMxo0bGx999JGRn59vfP7550aLFi2Ms2fPGoZhGM8884wxadIkIzc319izZ48RGBhobN26tcS6f1/Lb77++mvj0KFDRmFhoZGUlGQ0b97c2L17t/3aNG7c2HjzzTeN/Px8Y9OmTUbz5s2Nc+fOGYZhGK+//rrRt29f48SJE4bVajV+/PFHIy8vzzhx4oQREBBgbNq0ybDZbMaWLVuMgIAAIyMjo9hr1LdvX2PZsmX2z2PGjDFatGhh/PDDD4bNZjMyMzON9u3bG++++66Rl5dnbN261fD19TVSU1Pt2wcEBBg///yzkZubazz33HNG27Ztjfj4eMNqtRpz5swx+vbtW2zbhmEYDzzwgHHw4EHDMAxj3759xmOPPWZ89NFH9vWfffaZcebMGaOgoMBYtGiR0apVKyM3N9d+nZs1a2Zs2rTJsFqtxqxZs4ynnnrKMAzDyMvLM5544gl7/61bt85o0qSJMWfOHMMwDGPr1q1GQECAsXv3biMvL8+IiooynnnmmSJ1DRkyxMjMzDR+/fVXo2nTpka/fv2Mw4cPGxcuXDC6dOlirFy50t5Xf/w+NgzDyM/PL/Xa/f5aX7x40QgPDzfmz59v5OXlGYcPHzaCg4ONxMREwzAMo1evXkZ8fLxhGIaRlZVlbN++3TCM//+9XVBQUOJ1FnE0jciKyC334osv4u/vj7+/Py+88AKnT59m8+bNjBs3jqpVq+Ll5cVf/vIXPv/8c+DSiNpjjz2Gq6srnp6ePP/88/z3v/+9oRp8fX1p3749FouFrKysK7Z/tefk5uZG69atqVq1Kt26dcPLy4tatWrh7+9fZPTQ09OT/v37U6lSJUJCQqhXrx6bNm3i+PHj/PTTT0RGRuLm5kbjxo156qmniswz/X3dlStXLraWJ554gvvuuw8nJycCAgJ47LHHiow4uri48OKLL1KpUiWCgoKoWrUqBw4coLCwkBUrVvDaa69Rq1YtnJ2dadGiBa6urqxatYo2bdoQFBSExWLhscceo1mzZmzevPmqr1G7du14+OGHsVgspKSkcPHiRQYPHoyrqystW7akbdu2Ra55hw4daNasGW5ubnTo0AE3NzfCwsJwdnYmJCSkyAhrccLDw/H19SUkJISAgACeeeYZ+7rQ0FBq1qyJi4sLAwYMID8/nwMHDtjXP/zwwwQFBeHs7ExoaCgpKSkA7Ny5k4KCAnv/de7cmQcffNC+X0JCAhERETRt2hRXV1dGjRrFjh07SEtLs2/z17/+FQ8PD/785z/zwAMP8Nhjj1GnTh2qVatGmzZtinyvpKen2/+t+Pv7s3btWnbu3Fnqtfv9tf711185c+YMw4YNw9XVlTp16tCrVy/Wrl1r/344fPgwZ86cwd3dHV9f36vuUxFHM9+kMBExvbfffrvIHNldu3ZhtVpp3bq1fVlhYSG1a9cG4PTp00ydOpUffviB7OxsDMOgevXqN1TDn/70J/vXx44du2L7V8PLy8v+tZub22WfL168aP9cq1YtnJyc7J/vvvtu0tPTSU9P54477sDDw6PIut27dxdbd0k2b97M22+/zcGDByksLCQ3N5cHHnjAvr5GjRpF5gRXqVKFixcvcvbsWfLy8qhTp85lxzx27BhffPEFX3/9tX2Z1WolMDCw1Hp+8/vrmZ6ezp/+9Ccslv8/nnL33XcX+TP8769h5cqVufPOO4t8/v01LU58fDz33Xcf69atY/bs2Vy8eBFXV1cAFi1axPLly0lPT8fJyYmsrCzOnj1r3/ePbeXl5WG1WklPTy+2/35/Xk2bNrV/dnd3p0aNGpw8eZJ77733smO7ubld9vn06dP2z8XNkV27dm2p1+731/ro0aP2QPwbm81m/zx16lTmzZtHly5duPfeexk2bBht27Yt+cKKlCMKsiLicH/6059wdXVl27Ztxd50NWfOHJycnEhISKBGjRps2LChyLzTP6pSpYp9Xidc+k/7zJkzRbb5fRAprf2ydvLkSQzDsNdw/PhxgoODueuuuzh//jxZWVn2MHv8+PEiT3T4fd3Ffc7Pz2f48OFER0fTrl07KlWqxAsvvIBhGKXWVbNmTdzc3Dhy5AiNGjUqsq527dqEhoYyZcqU6zrnP7rrrrs4ceIEhYWF9kB2/Phx7r///jI5/m+cnJwICQlh48aNvP3227z22mv88MMPfPDBByxevJg///nPWCwWHnnkkau6Rt7e3pf137Fjx+zh/6677uLo0aP27S9evMi5c+du6Kkcf3St16527drce++9rF+/vtj1999/P3PmzKGwsJD169czfPhwkpKSLvveEimPNLVARBzurrvu4rHHHuONN94gKyuLwsJCDh8+zPfffw9AdnY2VatWpVq1apw8eZIPPvigyP533nknR44csX+uV68eeXl5bNq0iYKCAt59990r3kBTWvtl7cyZM/zrX/+ioKCAdevWkZqaSlBQELVr18bPz485c+aQl5dHSkoKy5cvt9/EVRwvLy+OHj1KYWEhcCnI5ufn4+npiYuLC5s3b+bbb7+9qrosFgsRERFMnz6dkydPYrPZ2L59O/n5+fTo0YOvv/6ab775BpvNRl5eHklJSZw4ceK6rkHz5s2pXLkyH3zwAQUFBSQlJfGf//yHkJCQ6zpeaQYPHkxcXBynTp0iOzsbZ2dnPD09sVqtLFiwgKysrKs6jq+vLy4uLvb+W79+fZEbwbp168bKlStJTk4mPz+fOXPm0Lx5c/tobFm41mvXvHlz3N3dWbhwIbm5udhsNn799Vd27doFXHq6w5kzZ7BYLPa/dFgsFjw9PbFYLEX+bYmUNwqyIlIuzJgxg4KCAkJCQnjkkUcYPnw4p06dAmDYsGHs2bMHf39/Bg8eTMeOHYvsO3jwYN599138/f1ZtGgR1apVY9KkSYwfP542bdpQpUqVUv8kf6X2y1rz5s05dOgQjz76KG+++Sbz5s2jZs2awKXR56NHj/L4448zbNgw/v73v1/xUWWdO3cGLj1fNDw8HA8PD8aPH8/IkSN55JFHWLNmDcHBwVdd25gxY3jggQd48sknCQgIYNasWfZpFu+88w7vvfceLVu2JCgoiEWLFtkD9LVydXUlJiaGxMREHn30USZPnsyMGTNo0KDBdR2vND4+Pvbvj9+eTNGpUyeCg4Nxc3O76mkkrq6uzJ8/n/j4eAICAli7di0dOnSwr2/VqhUjRozg73//O61bt+bIkSNl/rKEa712zs7OxMTEkJKSQrt27Xj00UcZP368Pbx/8803dO3aFT8/P6ZOncrcuXOpXLkyVapUYciQIfTp0wd/f3927NhRpuchUhacjKv5W4qIiJSJlStXEhcXxyeffOLoUkRETE8jsiIiIiJiSgqyIiIiImJKmlogIiIiIqakEVkRERERMSUFWRERERExJQVZERERETElvdmrAjt7NpvCQk2RLg+8vDzIyLi6B7LLzaW+KF/UH+WL+qN8qSj9YbE4UbOme7HrFGQrsMJCQ0G2HFFflB/qi/JF/VG+qD/Kl4reH5paICIiIiKmpCArIiIiIqakICsiIiIipqQgKyIiIiKmpCArIiIiIqakICsiIiIipuRkGEbFfm6DiIiIiFyz3DwrmRdybno7FosTXl4exa7Tc2QrsIFT1pN+9uZ/A4qIiMjtJ2F2KJkOrkFTC0RERETElBRkRURERMSUFGRFRERExJQUZEVERETElCp0kE1LS+PTTz8tsmzQoEEcPnz4prSXlJREz549r7jNW2+9xdq1a29K+yIiIiK3kwr91IKjR4/y6aef8vTTT9uXvf/++w6sCEaMGOHQ9kVERETM4rYZkfXx8SEmJoaIiAjatWvHl19+aV/38ssv07NnT7p3786LL77I+fPnAYiKiiI1NZXQ0FCGDx8OQHBwML/++isAhw4don///nTv3p3w8HASExNvqL2r8eqrr7JkyRIA5s+fz6hRoxg0aBCdO3dm8ODB5OTkkJOTQ2BgIGfOnLHvFx0dzYIFC67jyomIiIiY0201Iuvh4cGKFSv48ccfGTlyJJ06dQLgtddew9PTE4C5c+fy/vvvExkZycSJE4mOjmblypXFHi8yMpJevXrx1FNPsW/fPp599lnWrVtnP9a1tnc9du/ezfLly6lWrRoDBw4kISGBXr160b59e9asWUO/fv2wWq0kJCQQGxt7XW2IiIiIXA9v72oObf+2CrIhISEA+Pr6kp6eTl5eHm5ubqxatYqEhAQKCgq4ePEi999/f6nHysrKIjk5mYiICAAaNmxI48aN2bFjB8HBwWXeXklat25N9erVAWjevLl9/m54eDhTp06lX79+JCYmUr9+fe69997rbkdERETkWp06dfNfiVBh3uzl5uYGgLOzMwBWq5Wff/6ZTz75hNjYWDw9PUlISGDZsmWmae+3Nn5rJy8vDwB/f3+ys7PZu3cv8fHxpd5EJiIiInK7uW3myJbkwoULeHh4UKNGDfLz81mxYoV9nYeHB1lZWcXu5+HhQePGjYmPjwcgNTWVlJQUfH19r7u9shYWFsZHH33Ef//7X/u0BhEREZGK4rYPso8//jj33XcfnTp1om/fvjRp0sS+zsfHh3r16tGtWzf7zV6/N2vWLFavXk337t2JjIxkxowZ9rmv19NeWQsLC2PVqlW0a9eOKlWq3LR2RERERMojJ8MwDEcXIY4xcMp60s/mOLoMERERMaGE2aEOnyN724/IioiIiMjt6ba62csskpOTefXVVy9b3rdvX5566ikHVCQiIiJiPgqyDtC4cWNWrVrl6DJERERETE1zZEVERETkmuXmWcm8cPPvtakwz5GVa5ORkUVhoX6PKQ+8vavdkgnzUjr1Rfmi/ihf1B/li/pDN3uJiIiIiEkpyIqIiIiIKSnIioiIiIgpKciKiIiIiCkpyIqIiIiIKSnIioiIiIgpKciKiIiIiCkpyIqIiIiIKSnIioiIiIgpKciKiIiIiCkpyIqIiIiIKSnIioiIiIgpKciKiIiIiCkpyIqIiIiIKSnIioiIiIgpKciKiIiIiCk5GYZhOLoIERERkYomN89K5oWc697f27sap05llmFF5ZPF4oSXl0ex61xucS1Sjgycsp70s9f/D0hERESuX8LsUG7/GHpzaWqBiIiIiJiSgqyIiIiImJKCrIiIiIiYkoKsiIiIiJjSLQuy+fn5DBo0iO7duzNt2rQSt4uOjiY4OBgfHx9+/fVX+/KzZ88yaNAgOnXqRPfu3Rk2bBhnzpy5FaWX6MKFC7z//vtFlj333HN8/fXXDqpIREREpOK4JUHWarWSnJzMsWPHSEhIYNy4cSVu265dOz7++GPuueeeIsudnJz461//ypdffklCQgJ16tRh1qxZN7v0K7pw4QIffPCBQ2sQERERqahKDbI+Pj7MmzeP0NBQOnXqxJdffmlft3PnTp577jl69uxJz5492bRpEwBpaWkEBgYSHR1NeHg4H3/8MZGRkaSlpREaGsratWtLbM/f35/atWtftrxGjRoEBgbaP/v6+nLs2LEr1v7qq68yceJE+vXrR9u2bZk2bRrfffcdzzzzDMHBwfzzn/+0b7tr1y6efvppunfvztNPP82uXbuKnMvcuXMJCwujU6dO/PDDDwBERUWRmZlJaGgovXv3th/r+++/p0+fPrRr167UsH3q1Cn7NezatSszZswAICcnh8DAwCKjztHR0SxYsACAL7/8ks6dOxMWFkZMTAw+Pj5kZ2dfsS0RERGR28lVPUfWYrGwatUq9u/fT58+ffD396dSpUpMmjSJhQsXctddd5Gens6TTz7JmjVrADh37hwPPvggY8aMAaBRo0ZER0ezcuXKGy66sLCQTz75hODg4FK3/d///sc///lPbDYbwcHBZGZmsmTJEk6dOkXnzp158sknqVSpEsOHD2f69Om0bNmSrVu3Mnz4cNavX28/F19fX1566SVWr17NrFmziI2NZeLEiURERLBq1aoibR4/fpyPP/6Y7Oxs2rdvz5NPPsn9999fbH3Vq1cnJiYGd3d3CgoKGDhwIImJibRp04b27duzZs0a+vXrh9VqJSEhgdjYWE6fPs3EiRP59NNPuf/++1m8ePGNXlIRERFxAG/vag7d3+yuKsg+9dRTANSvX58mTZqwY8cOXFxcSEtLY9CgQfbtnJycOHToEDVr1sTNzY0uXbrclKL/8Y9/ULVqVfr27Vvqtu3bt8fV1RWAevXqERQUhMVioVatWlSvXp0TJ05gtVqpVKkSLVu2BKBVq1ZUqlSJAwcO4O7uTtWqVWnbti1waSQ4Ojr6im127twZi8VCtWrVaNCgAYcPHy4xyNpsNmbMmMH27dsxDIPTp0+TkpJCmzZtCA8PZ+rUqfTr14/ExETq16/Pvffey8aNG2nSpIn9mBEREUyfPv0qr56IiIiUFzfyZi692esG3uxlGAY+Pj58/PHHl61LS0ujSpUqODk5Xe/hSxQdHc2hQ4eIiYnBYil9iq+bm5v9a2dn58s+22y2Uo/xWxCGS6PTVqv1mtq8UhsfffQRFy5cIC4uDjc3NyZMmEBeXh5waZpFdnY2e/fuJT4+np49e5Zaq4iIiEhFcVU3e61YsQKAgwcPsmfPHnx9ffHz8+PQoUNs27bNvt2uXbswDOPmVArMmTOH3bt38/bbbxcJlzeqXr16FBQU2M/lu+++w2q1Uq9evSvu5+HhQW5ubqnB9koyMzPx9vbGzc2NkydPsnHjxiLrw8LC+Oijj/jvf/9Lp06dAHjooYfYs2cPhw8fBiA+Pv662xcRERExq6sakbXZbISFhZGTk0NUVBReXl4AvPPOO8ycOZNp06ZRUFBAnTp1iImJuaGCpkyZwvr16zl9+jTPP/88NWrU4PPPP+d///sf7733Hvfff7/9xqp7772Xt99++4bag0sjrvPmzWPq1KlcvHiRqlWr8tZbb5UalmvUqEH37t3p3r07d9xxB7Gxsdfc9nPPPceIESPo1q0btWrVsk9v+E1YWBjt2rWjZ8+eVKlSBYA777yT119/nUGDBlGlShWeeOIJKlWqZF8vIiIiUhE4GaUMofr4+PDTTz/h7u5+q2qSq5CVlYWHx6X5IitWrGD58uV88skn13SMgVPWk34252aUJyIiIqVImB2qObJX4abMkRXH+ve//80XX3yBzWbjjjvuYMqUKY4uSUREROSWKjXI7t27t8wbXbBgAV999dVlyz/88EP7tIWrlZyczKuvvnrZ8r59+9qftlAeDBkyhOPHjxdZVrt27eueijF06FCGDh1aFqWJiIiImFKpUwvk9qWpBSIiIo6jqQVX50pTCxRkRURERBwgN89K5oXrH1BSkNUc2QotIyOLwkL9HlMeVJQfRmagvihf1B/li/pDypureo6siIiIiEh5oyArIiIiIqakICsiIiIipqQgKyIiIiKmpCArIiIiIqakICsiIiIipqQgKyIiIiKmpCArIiIiIqakICsiIiIipqQgKyIiIiKmpCArIiIiIqakICsiIiIipqQgKyIiIiKmpCArIiIiIqakICsiIiIipqQgKyIiIiKm5GQYhuHoIkRERERuJ7l5VjIv5NzUNry9q3HqVOZNbaM8sFic8PLyKHadyy2uRcqRgVPWk3725v4jExERqYgSZody+0dMx9PUAhERERExJQVZERERETElBVkRERERMSUFWRERERExJQVZERERETGlchFk8/PzGTRoEN27d2fatGklbpeXl8ekSZPo2LEj3bt3Z8KECbewyuLNnz+f/Px8++dXX32VJUuWOLAiERERkYrB4Y/fslqtJCcnc+zYMT7//PMrbjtz5kzc3Nz48ssvcXJy4vTp07eoypItWLCAAQMG4Orq6uhSRERERCqUGwqyPj4+vPjii2zcuJHc3FxGjRpFp06dANi5cyezZs0iOzsbgOHDh/PEE0+QlpZGREQEPXv2ZNu2bYSFhbFkyRLS09MJDQ3lb3/7GyEhIZe1lZ2dzWeffcbmzZtxcnIC4M4777xiffPnz2f//v1kZWVx8OBBmjZtyuDBg3njjTc4duwYHTp0YMyYMQAcOnSIiRMncubMGVxcXHjppZdo06aN/TxfeuklvvrqK86dO8fo0aPp1KkTkydPBqB3795YLBb+/e9/A/Drr7/Sr18/Tpw4ga+vL9HR0faa/8hqtfK3v/2Ns2fPkpeXR/PmzZk8eTKurq507NiRefPm0ahRIwCWLFnCL7/8wvTp0/nhhx/s7QcGBrJx40bee+89HnjggavvQBEREblpvL2r3RZtlGc3PCJrsVhYtWoV+/fvp0+fPvj7+1OpUiUmTZrEwoULueuuu0hPT+fJJ59kzZo1AJw7d44HH3zQHiIbNWpEdHQ0K1euLLGdI0eOUKNGDRYsWEBSUhLu7u6MGDECf3//K9b3yy+/sGLFCqpWrUp4eDizZ8/mgw8+wGq10q5dO55++mnuv/9+IiMj6dWrF0899RT79u3j2WefZd26dXh6egLg4eHBihUr+PHHHxk5ciSdOnVi0qRJLF26lNjYWNzd3e1t/u9//2Px4sU4OTkRHh7O1q1beeyxx4qtz9nZmVmzZlGzZk0Mw2DMmDGsWLGCPn36EBYWRnx8PGPHjgVg5cqVjB07lvz8fEaNGsWcOXPw9/fnq6++sodoERERKR9u9lu39GavMgiyTz31FAD169enSZMm7NixAxcXF9LS0hg0aJB9OycnJw4dOkTNmjVxc3OjS5cu19SOzWbjyJEjNGnShDFjxrBz506GDBnCV199hYdH8ScH0Lp1a6pVu/Tbio+PD40aNcLV1RVXV1fq1avH4cOHufPOO0lOTiYiIgKAhg0b0rhxY3bs2EFwcDCAfZTY19eX9PR08vLycHNzK7bN9u3b29c1adKEw4cPlxhkCwsL+fDDD0lMTKSwsJDz589TuXJlAMLCwujVqxevvPIKqampXLhwAX9/f/bu3UvlypXtIb5Dhw5Ur179mq6niIiIiNndlDmyhmHg4+PDxx9/fNm6tLQ0qlSpUuKf2ktSu3ZtXFxc6NatGwAPPfQQNWvW5MCBAzz44IMl7vf7sOns7HzZZ5vNdlXt/7afs7MzcGlKQElB9lraSEhI4Mcff+Tjjz/Gw8ODmJgYDh48CMDdd99Nw4YNSUxM5Pvvvyc8PPyar5uIiIjI7eqGn1qwYsUKAA4ePMiePXvw9fXFz8+PQ4cOsW3bNvt2u3btwjCM627H09OTwMBAvv32WwAOHDhARkYGdevWvbET4NK0gcaNGxMfHw9AamoqKSkp+Pr6lrqvu7s7WVlZ1912ZmYmNWvWxMPDg8zMTPv0i9+Eh4cTFxfHmjVrCA8PBy6Nfufk5PDjjz8CsB4xeYQAACAASURBVGHDBi5cuHDdNYiIiIiY0Q2PyNpsNsLCwsjJySEqKgovLy8A3nnnHWbOnMm0adMoKCigTp06xMTE3FBbkydPZty4cURHR+Pi4sKMGTPK7E/qs2bNYuLEiSxevNh+7N/mx17JgAED6NevH5UrV76ueaphYWFs3LiRzp074+XlxcMPP0xeXp59fceOHYmKiuLBBx/k7rvvBsDV1ZXZs2fz+uuvAxAQEICXl5d9CoWIiIhIReBk3MAwqY+PDz/99FORG53k1sjKyrLPDd62bRtjx45l48aNWCxXP8g+cMp60s/m3KwSRUREKqyE2aG62auM3NSbvcQx1q9fz+LFizEMA1dXV2bNmnVNIVZERETE7G4oyO7du7es6rBbsGABX3311WXLP/zwQ/u0hd/LyMhgwIABly3v0KEDw4YNK/P6rtfEiRPZuXNnkWXOzs5XfOTYlfTs2ZOePXuWRWkiIiIipnRDUwtERERE5HK5eVYyL9zc6XuaWqCpBRVaRkYWhYX6PaY8qCg/jMxAfVG+qD/KF/WHlDeaVCkiIiIipqQgKyIiIiKmpCArIiIiIqakICsiIiIipqQgKyIiIiKmpCArIiIiIqakICsiIiIipqQgKyIiIiKmpCArIiIiIqakICsiIiIipqQgKyIiIiKmpCArIiIiIqakICsiIiIipqQgKyIiIiKmpCArIiIiIqakICsiIiIipuRkGIbh6CJEREREHC03z0rmhRxHl3HVvL2rcepUpqPLuOksFie8vDyKXedyi2uRcmTglPWknzXPP1gREZGbKWF2KLd/LLy9aGqBiIiIiJiSgqyIiIiImJKCrIiIiIiYkoKsiIiIiJiSgqyIiIiImJKpg+z8+fOJjo4u8+O+9957dOvWjc6dOzNmzBjy8/PLvI1rkZaWxqefflpkWXBwML/++quDKhIRERFxPFMH2Zthy5YtrFmzhmXLlrFu3ToqVarE4sWLHVrT0aNHLwuyIiIiIhVduXqObE5ODmPGjGHfvn24uLhQr149xo8fz6hRo8jOziYvL4+goCBGjx5d7P4LFy5k/fr12Gw2atWqxT/+8Q+8vb3ZsGEDb731FhaLBZvNxoQJEwgMDCz2GCkpKfj7+1O1alUA2rRpw/z58xk8eHCJdT/33HM0bdqUXbt2cfToUfr160etWrVYsmQJ6enpvPLKK3Tp0gWAxMRE5syZg81mw9PTk6ioKOrWrUtSUhLTpk3joYceYvv27Tg5OTF37lwaNGhAVFQUaWlphIaGUrduXebNmwfAunXrmDBhAqdOnWLAgAH07dv3Ri6/iIiIiKmUqyC7ZcsWsrOzWbt2LQDnz5+ncuXKxMTE4O7uTkFBAQMHDiQxMZE2bdoU2XfVqlUcOXKEZcuWYbFYWLp0KW+88QazZ89m3rx5REVF4efnh81mIyen5JcANG3alLi4OM6cOUP16tVZt24dR48eLbX2EydOsGTJEk6dOkXHjh35y1/+QmxsLLt27WLYsGF06dKFjIwMRo8ezZIlS2jYsCFxcXFERkYSFxcHwL59+5g+fTpRUVG8++67vPPOO8yePZuJEycSHR3NypUri7SZm5vLp59+SlpaGt27dyc8PBx3d/drvewiIiLyf7y9qzm6hGtitnrLWrkKso0aNSI1NZXJkycTEBDAE088gc1mY8aMGWzfvh3DMDh9+jQpKSmXBdn//Oc/7N69m/DwcABsNhseHpdeZ/boo48yffp0OnbsSJs2bXjggQdKrKFly5Y888wzDBw4EDc3Nx599FFcXEq/TJ07d8ZisVCrVi1q1KhB+/btgUvB+OTJk+Tl5bFz504aNWpEw4YNAYiIiGDy5MlkZWUBUK9ePZo0aQKAr68vX3/99RXbDAkJAeDee++levXqnDhxggYNGpRaq4iIiBTPTK981Stqy1mQrVOnDmvWrGHbtm0kJiYyd+5cQkNDuXDhAnFxcbi5uTFhwgTy8vIu29cwDIYOHcqTTz552bpx48axd+9etm3bxogRI3j++efp1atXiXX079+f/v37A7B27dqrCodubm72r52dne2fnZ2dAbBaraUew9XV1f61xWIpdZ8/tmmz2UptQ0REROR2Ua5u9jpx4gTOzs60b9+esWPHcubMGdLS0vD29sbNzY2TJ0+ycePGYvcNDg5m6dKlnD9/HoD8/HxSUlIA2L9/Pz4+PvTv358ePXrw888/X7GOU6dOAZemNrz//vsMHDiwTM7P19eXlJQUUlNTAYiPj6dJkyb2keOSeHh42EdtRUREROSScjUiu3fvXmbPng1AYWEhgwcPpmvXrowYMYJu3bpRq1YtWrZsWey+YWFhnDt3zn7Dk2EY9OnTh0aNGjF79mwOHTqEs7Mz1atXZ+rUqVesY8CAARQWFmK1Wnn22Wft0wRulKenJzNmzCAyMhKr1YqnpyczZ84sdT8fHx/q1atHt27dqF+/vv1mLxEREZGKzMkwDMPRRYhjDJyynvSzJd/4JiIiUpEkzA411ZxTzZEtZ1MLRERERESuVrmaWnArDRkyhOPHjxdZVrt2bWJiYordfvPmzcyZM+ey5aNGjSIoKOim1CgiIiIiJauwQbakwFqSoKAgBVYRERGRckRzZEVERESA3DwrmRfMc++I5shW4BFZgYyMLAoL9XtMeVBRfhiZgfqifFF/lC/qDylvdLOXiIiIiJiSgqyIiIiImJKCrIiIiIiYkoKsiIiIiJiSgqyIiIiImJKCrIiIiIiYkoKsiIiIiJiSgqyIiIiImJKCrIiIiIiYkoKsiIiIiJiSgqyIiIiImJKCrIiIiIiYkoKsiIiIiJiSgqyIiIiImJKCrIiIiIiYkoKsiIiIiJiSk2EYhqOLEBERkdtbbp6VzAs5ji7jtuLtXY1TpzIdXcZNZ7E44eXlUew6l1tci5QjA6esJ/2sfqiIiMjNlzA7lNs/csmtpqkFIiIiImJKCrIiIiIiYkoKsiIiIiJiSgqyIiIiImJKZRpkN2zYQJcuXQgLC2P//v1leegblpyczNq1a0vdLjs7m9GjR9O9e3c6d+7MokWLbkF1V5aUlMSWLVvsn9PS0ggMDHRgRSIiIiKOV6ZBNjY2luHDh/PZZ59Rv379q9rHZrOVZQklSk5O5osvvih1u/fee49KlSqxevVqVq5cyapVq9ixY8ctqLBk33//Pd9++61DaxAREREpb8rs8VvTpk3jxx9/5MCBAyxdupRBgwYxZ84cbDYbnp6eREVFUbduXZKSkpgyZQrNmjVjz549jBw5krp16zJt2jTOnj1LQUEB/fv3JyIiAoDt27czY8YMsrOzARg9ejStW7cmOjqa77//noKCAmrWrMm0adO45557yMjI4OWXXyYjIwOAli1bMnToUObNm0dWVhahoaE88sgjjB8/vtjzSElJITw8HCcnJ6pWrUpAQAAJCQn4+vqWeO4+Pj6MHDmSDRs2cO7cOaZMmcLWrVv55ptvsFqtvPXWWzRo0ACAhQsXsnr1agAefPBBxo8fj7u7O/Pnz+fAgQNkZmZy5MgR7rvvPt566y0OHz5MbGwshYWFbN26la5duxISEgLA3Llz2bx5Mzk5OUydOhV/f/+y6UwREREREyizIDtu3DiSk5MZMGAAzZs3p2vXrixZsoSGDRsSFxdHZGQkcXFxAOzbt4+oqCj8/PywWq306tWLmTNn0qBBA7KysoiIiMDX1xcvLy+GDRvG/PnzadGiBTabjaysLAAGDRrEmDFjAIiLi2PWrFnMnTuXhIQE7rvvPhYvXgzA+fPnueOOOxg+fDibNm1i3rx5VzyPpk2b8uWXX9K+fXsyMzP55ptvqFevXqnnX716dVasWMG6det44YUXmDNnDi+//DLvv/8+7777LrNmzWLz5s2sXr2a2NhY3N3dGTNmDO+88w6vvPIKALt372b58uVUq1aNgQMHkpCQQK9evejduzcXL160n29aWhrnzp3D19eXl156idWrVzNr1ixiY2Ovq+9ERERuBW/vao4u4bZT0a/pTXkhws6dO2nUqBENGzYEICIigsmTJ9tDaN26dfHz8wPg4MGDpKamMmrUKPv+BQUF7N+/nyNHjtCgQQNatGgBgLOzM3fccQcAiYmJLF26lIsXL2K1Wu37PvTQQyxevJjo6GgCAgJo3br1NdU+ePBgZsyYQUREBJ6engQGBnLmzJlS9+vSpQtwKQgDtG3bFoBmzZrx1VdfAfDdd98REhKCh8elt1P06tWLadOm2Y/RunVrqlevDkDz5s05fPhwie1VrVrV3oavry/R0dHXdJ4iIiK3WkV4C9WtpDd7OejNXlWrVrV/bRgGNWvWZNWqVZdtt2nTpmL3P3r0KNOnT2f58uXUqVOHn376icjISAD8/PyIj49n69atrFq1ioULF/LJJ59cdW1VqlRh0qRJ9s+vv/66fVrAlbi5uQFgsVhwdXW1L7dYLEWC9tUcAy6F9ry8vBK3vd42RERERG4XN+XxW76+vqSkpJCamgpAfHw8TZo0sY9E/l69evWoXLkyn332mX1ZamoqWVlZ+Pr6kpqayvbt24FLN4adP3+erKwsKlWqhLe3N4WFhUX+pH7kyBE8PDzo2rUrY8eO5ZdffqGwsBAPDw8yM0v/rSUrK4vc3Fzg0nzZDRs28Mwzz9zQ9fhNy5YtWbduHVlZWRiGwfLly2nVqlWp+11t7SIiIiIVyU0ZkfX09GTGjBlERkZitVrx9PRk5syZxRfg4kJMTAzTpk1j0aJFFBYW4uXlxZtvvomnpyfz58/njTfe4OLFi1gsFsaMGUOrVq3o3LkzISEh1KxZk6CgIH744Qfg0h3+ixcvxmKxUFhYyOTJk7FYLLRs2ZIPP/yQHj16EBAQUOLNXkeOHGHkyJE4Ozvj5ubGzJkzqVWrVplcl6CgIPbu3Uvv3r2BS9MOhg4dWup+7du357PPPiM0NLTIzV4iIiIiFZmTYRiGo4sQxxg4ZT3pZ3McXYaIiFQACbNDK8R8zltJc2T1Zi8RERERMSmH3OzlaBkZGQwYMOCy5R06dGDYsGHF7rNgwQL70wd+78MPP8TLy6vMaxQRERGRK9PUggpMUwtERORW0dSCsqepBQqyIiIicgvk5lnJvKDBk7KkIFtBpxbIJRkZWRQW6veY8qCi/DAyA/VF+aL+KF/UH1Le6GYvERERETElBVkRERERMSUFWRERERExJQVZERERETElBVkRERERMSUFWRERERExJQVZERERETElBVkRERERMSUFWRERERExJQVZERERETElBVkRERERMSUFWRERERExJQVZERERETElBVkRERERMSUFWRERERExJQVZERERETElF0cXII7j5eXh6BLkd7y9qzm6BPk/6ovyRf3hOLl5VjIv5Di6DJESKchWYAOnrCf9rH5AiYhI8RJmh5Lp6CJErkBTC0RERETElBRkRURERMSUFGRFRERExJQUZEVERETElEwdZOfPn090dHSZHzctLY1BgwbRqVMnQkJCiIuLK/M2rrWeTz/9tMiy4OBgfv31VwdVJCIiIuJ4emrBHxiGwbBhwxg2bBjt27fHMAzOnDnj0JqOHj3Kp59+ytNPP+3QOkRERETKk3IVZHNychgzZgz79u3DxcWFevXqMX78eEaNGkV2djZ5eXkEBQUxevToYvdfuHAh69evx2azUatWLf7xj3/g7e3Nhg0beOutt7BYLNhsNiZMmEBgYGCxx9i6dSvu7u60b98eACcnJ7y8vK5Y93PPPUfTpk3ZtWsXR48epV+/ftSqVYslS5aQnp7OK6+8QpcuXQBITExkzpw52Gw2PD09iYqKom7duiQlJTFt2jQeeughtm/fjpOTE3PnzqVBgwZERUWRlpZGaGgodevWZd68eQCsW7eOCRMmcOrUKQYMGEDfvn2v99KLiIiImE65CrJbtmwhOzubtWvXAnD+/HkqV65MTEwM7u7uFBQUMHDgQBITE2nTpk2RfVetWsWRI0dYtmwZFouFpUuX8sYbbzB79mzmzZtHVFQUfn5+2Gw2cnJKfnbqvn37qFGjBsOHD+fw4cPcd999jB07ltq1a1+x9hMnTrBkyRJOnTpFx44d+ctf/kJsbCy7du1i2LBhdOnShYyMDEaPHs2SJUto2LAhcXFxREZG2qcu7Nu3j+nTpxMVFcW7777LO++8w+zZs5k4cSLR0dGsXLmySJu5ubl8+umnpKWl0b17d8LDw3F3d7+eSy8iIlKsP76QQi+oKF8qen+UqyDbqFEjUlNTmTx5MgEBATzxxBPYbDZmzJjB9u3bMQyD06dPk5KSclmQ/c9//sPu3bsJDw8HwGaz4eFx6c1Vjz76KNOnT6djx460adOGBx54oMQaCgsL2bZtG8uWLaNBgwZ89NFHjBkzhn/9619XrL1z585YLBZq1apFjRo17CO6TZs25eTJk+Tl5bFz504aNWpEw4YNAYiIiGDy5MlkZWUBUK9ePZo0aQKAr68vX3/99RXbDAkJAeDee++levXqnDhxggYNGlxxHxERkWtx6tT/fyWCt3e1Ip/FsSpKf1gsTiW+jbRcBdk6deqwZs0atm3bRmJiInPnziU0NJQLFy4QFxeHm5sbEyZMIC8v77J9DcNg6NChPPnkk5etGzduHHv37mXbtm2MGDGC559/nl69ehVbQ+3atWnatKk9EPbo0cP+p/wrcXNzs3/t7Oxs/+zs7AyA1Wot9Riurq72ry0WS6n7/LFNm81WahsiIiIit4ty9dSCEydO4OzsTPv27Rk7dixnzpwhLS0Nb29v3NzcOHnyJBs3bix23+DgYJYuXcr58+cByM/PJyUlBYD9+/fj4+ND//796dGjBz///HOJNbRp04YTJ06Qnp4OwDfffIOPj0+ZnJ+vry8pKSmkpqYCEB8fT5MmTewjxyXx8PCwj9qKiIiIyCXlakR27969zJ49G7j0J/7BgwfTtWtXRowYQbdu3ahVqxYtW7Ysdt+wsDDOnTtnv+HJMAz69OlDo0aNmD17NocOHcLZ2Znq1aszderUEmuoWrUq48ePZ9CgQRiGQY0aNXjjjTfK5Pw8PT2ZMWMGkZGRWK1WPD09mTlzZqn7+fj4UK9ePbp160b9+vWvaoRYRERE5HbnZBiG4egixDEGTllP+tmSb3wTEZGKLWF2qObIlmMVpT+uNEe2XE0tEBERERG5WuVqasGtNGTIEI4fP15kWe3atYmJiSl2+82bNzNnzpzLlo8aNYqgoKCbUqOIiIiIlKzCBtmSAmtJgoKCFFhFREREypEKG2QFFo3v6OgSRESkHMvNK/3RkSKOpCBbgWVkZFFYqHv9yoOKMmHfDNQX5Yv6Q0SuRDd7iYiIiIgpKciKiIiIiCkpyIqIiIiIKSnIioiIiIgpKciKiIiIiCkpyIqIiIiIKSnIioiIiIgpKciKiIiIiCkpyIqIiIiIKSnIioiIiIgpKciKiIiIiCkpyIqIiIiIKSnIioiIiIgpKciKiIiIiCkpyIqIiIiIKSnIioiIiIgpuTi6AHEcLy8PR5cgv+PtXc3RJcj/UV+UL+qPG5ebZyXzQo6jyxApcwqyFdjAKetJP6sfbCIit7uE2aFkOroIkZtAUwtERERExJQUZEVERETElBRkRURERMSUFGRFRERExJQUZEVERETElMo0yG7YsIEuXboQFhbG/v37y/LQNyw5OZm1a9de1bbfffcdPXv2pGvXrnTt2pWUlJSbXN2VJSUlsWXLFvvntLQ0AgMDHViRiIiIiOOV6eO3YmNjGT58OF26dLnqfWw2G87OzmVZRrGSk5PZtGkTISEhV9zu5MmTvPbaa3zwwQfUr1+f3NxcrFbrTa/vSr7//nsuXrxI69atHVqHiIiISHlSZkF22rRp/Pjjjxw4cIClS5cyaNAg5syZg81mw9PTk6ioKOrWrUtSUhJTpkyhWbNm7Nmzh5EjR1K3bl2mTZvG2bNnKSgooH///kRERACwfft2ZsyYQXZ2NgCjR4+mdevWREdH8/3331NQUEDNmjWZNm0a99xzDxkZGbz88stkZGQA0LJlS4YOHcq8efPIysoiNDSURx55hPHjxxd7HkuXLiU0NJT69esDULly5VLP3cfHh5EjR7JhwwbOnTvHlClT2Lp1K9988w1Wq5W33nqLBg0aALBw4UJWr14NwIMPPsj48eNxd3dn/vz5HDhwgMzMTI4cOcJ9993HW2+9xeHDh4mNjaWwsJCtW7fStWtXexifO3cumzdvJicnh6lTp+Lv738DPSgiIrezsnqxhF5QUb5U9P4osyA7btw4kpOTGTBgAM2bN6dr164sWbKEhg0bEhcXR2RkJHFxcQDs27ePqKgo/Pz8sFqt9OrVi5kzZ9KgQQOysrKIiIjA19cXLy8vhg0bxvz582nRogU2m42srCwABg0axJgxYwCIi4tj1qxZzJ07l4SEBO677z4WL14MwPnz57njjjsYPnw4mzZtYt68eVc8j3379nHPPffQr18/Lly4QGBgIC+//DKurq5X3K969eqsWLGCdevW8cILLzBnzhxefvll3n//fd59911mzZrF5s2bWb16NbGxsbi7uzNmzBjeeecdXnnlFQB2797N8uXLqVatGgMHDiQhIYFevXrRu3dvLl68aD/ftLQ0zp07h6+vLy+99BKrV69m1qxZxMbGXnf/iYjI7e3UqRt/JYK3d7UyOY6UjYrSHxaLU4lvI70pN3vt3LmTRo0a0bBhQwAiIiJITk62h9C6devi5+cHwMGDB0lNTWXUqFGEhoby7LPPUlBQwP79+9mxYwcNGjSgRYsWADg7O3PHHXcAkJiYSK9evejWrRuLFi0iOTkZgIceeojExESio6P5+uuvqVq16jXVbrPZ+Omnn3j77bdZtmwZx48fZ+HChaXu99t0iqZNmwLQtm1bAJo1a8bhw4eBS3NvQ0JC8PDwwMnJiV69evHdd9/Zj9G6dWuqV6+Ok5MTzZs3t+9XnKpVq9rb8PX15ciRI9d0niIiIiJm55BX1P4+XBqGQc2aNVm1atVl223atKnY/Y8ePcr06dNZvnw5derU4aeffiIyMhIAPz8/4uPj2bp1K6tWrWLhwoV88sknV13b3XffTbNmzahW7dJQfefOnYut7Y/c3NwAsFgsRUZvLRbLVc+x/e0YcCm05+Xllbjt9bYhIiIicru4KSOyvr6+pKSkkJqaCkB8fDxNmjTBw+PyYeF69epRuXJlPvvsM/uy1NRUsrKy8PX1JTU1le3btwOXRkvPnz9PVlYWlSpVwtvbm8LCwiJ/Uj9y5AgeHh507dqVsWPH8ssvv1BYWIiHhweZmaUPv3fr1o2kpCTy8/MxDIMtW7bQqFGjG70kwKX5uuvWrSMrKwvDMFi+fDmtWrUqdb+rrV1ERESkIrkpI7Kenp7MmDGDyMhIrFYrnp6ezJw5s/gCXFyIiYlh2rRpLFq0iMLCQry8vHjzzTfx9PRk/vz5vPHGG1y8eBGLxcKYMWNo1aoVnTt3JiQkhJo1axIUFMQPP/wAXLrDf/HixVgsFgoLC5k8eTIWi4WWLVvy4Ycf0qNHDwICAkq82atFixY8/vjjhIWF4ezsTJMmTfjb3/5WJtclKCiIvXv30rt3b+DStIOhQ4eWul/79u357LPPCA0NLXKzl4iIiEhF5mQYhuHoIsQxBk5ZT/rZHEeXISIiN1nC7FDd7HUbqij9cctv9hIRERERudkccrOXo2VkZDBgwIDLlnfo0IFhw4YVu8+CBQv46quvLlv+4Ycf4uXlVeY1ioiIiMiVaWqBiIjIbS43z0rmhRufSlZR/pRtFhWlP640taBCjsjKJRkZWRQW6veY8qCi/DAyA/VF+aL+EJEr0RxZERERETElBVkRERERMSUFWRERERExJQVZERERETElBVkRERERMSUFWRERERExJQVZERERETElBVkRERERMSUFWRERERExJQVZERERETElBVkRERERMSUFWRERERExJQVZERERETElBVkRERERMSUFWRERERExJQVZERERETElF0cXII7j5eXh6BLkd7y9qzm6BPk/6ovyRf1RvNw8K5kXchxdhohDKchWYAOnrCf9rH4IioiYUcLsUDIdXYSIg2lqgYiIiIiYkoKsiIiIiJiSgqyIiIiImJKCrIiIiIiYkoKsiIiIiJhSmQbZDRs20KVLF8LCwti/f39ZHvqGJScns3bt2lK3S0xMpEePHoSGhtK1a1fmzp2LYRi3oMKSJSUlsWXLFvvntLQ0AgMDHViRiIiIyP9r796jqqrz/4+/OCBYoAksxuxrGtIEaio25aW8JDqaCIKiWGlpOrmmxqWjklqpJRF5Q0as9KtTX7/fcQwlL4i3nDRlXF7KyckuaiNqiaNCeD3cz2H//nDm/HIQ8IKcsznPx1quBefsz/6893kv5eXms/d2vlq9/VZ6errGjx+v/v373/AYu90uT0/P2izjug4fPqydO3cqMjKy2u1+9atfad26dfL09FR5ebmeeeYZtW/fXr17977jNVbl888/V1FRkbp16+a0GgAAAFxNrQXZ5ORk/e1vf9OJEye0cuVKvfjii1qwYIHsdrsCAgKUmJioli1bav/+/UpKStLDDz+s7777Tr///e/VsmVLJScn68KFCyovL9fIkSMVFxcnSTp48KDmzp2rwsJCSdKUKVPUrVs3zZkzR59//rnKy8vl7++v5ORk/dd//ZcKCgo0efJkFRQUSJK6du2ql156SWlpabJarYqJidFjjz2m6dOnX/c4fH19HV+XlpaqvLxcFkv1J65DQ0P1+9//Xp9++qkuXryopKQk7dmzR3/9619ls9m0cOFChYSESJKWLl2qDRs2SJLatWun6dOny9fXV4sWLdKJEyd05coVnTp1Si1atNDChQv1448/Kj09XRUVFdqzZ48GDBjgCOOpqanatWuXiouL9fbbb+vRRx+9vzYIbgAAIABJREFUjQ4CAMzGGQ+L4AEVrsXd+1FrQfa1117T4cOHNXr0aLVv314DBgzQihUr9OCDDyojI0MJCQnKyMiQJB07dkyJiYnq2LGjbDab4uPjNW/ePIWEhMhqtSouLk7h4eEKDAzUuHHjtGjRIj3yyCOy2+2yWq2SpBdffFFTp06VJGVkZGj+/PlKTU1VVlaWWrRooeXLl0uSLl26pHvuuUfjx4/Xzp07lZaWVuOxfP3113rttdf0ww8/6JlnntGTTz5Z45jGjRtrzZo12rJli15++WUtWLBAkydP1rJly7R48WLNnz9fu3bt0oYNG5Seni5fX19NnTpV77//vl555RVJ0jfffKOPP/5YjRo10pgxY5SVlaX4+Hg9/fTTKioqchxvbm6uLl68qPDwcE2cOFEbNmzQ/PnzlZ6efrNtAwCYWH5+3T4SISioUZ3Piaq5Sz8sFo8qn0Z6Ry72+uqrrxQWFqYHH3xQkhQXF6fDhw87QmjLli3VsWNHSdLJkyeVk5OjSZMmKSYmRsOHD1d5ebmOHz+uv//97woJCdEjjzwiSfL09NQ999wj6epa1vj4eEVFRemDDz7Q4cOHJUkdOnRQdna25syZo88++0x33333Tdffrl07ZWVlaefOnfr222914MCBGsf8ezlF27ZtJUm9evWSJD388MP68ccfJUl79+5VZGSk/Pz85OHhofj4eO3du9exj27duqlx48by8PBQ+/btHeOu5+6773bMER4erlOnTt30cQIAAJiZUx5R+/NwaRiG/P39lZmZWWm7nTt3Xnf86dOn9c477+jjjz/W/fffry+//FIJCQmSpI4dO2rdunXas2ePMjMztXTpUn300Ue3VGdAQIB69OihrVu36rHHHqt2Wx8fH0mSxWKRt7e343WLxSKbzXZD8/17H9LV0F5aWlrltrc6BwAAQH1xR87IhoeH68iRI8rJyZEkrVu3Tm3atJGfX+XTwsHBwWrYsKHWr1/veC0nJ0dWq1Xh4eHKycnRwYMHJV29MOzSpUuyWq1q0KCBgoKCVFFRcc2v1E+dOiU/Pz8NGDBAr776qr799ltVVFTIz89PV67UfPr9xIkTqqiokCQVFRUpOztbDz300G19Hv/WtWtXbdmyRVarVYZh6OOPP9bjjz9e47gbrR0AAMCd3JEzsgEBAZo7d64SEhJks9kUEBCgefPmXb8ALy8tWbJEycnJ+uCDD1RRUaHAwED94Q9/UEBAgBYtWqTZs2erqKhIFotFU6dO1eOPP66nnnpKkZGR8vf3V8+ePR2//v/888+1fPlyWSwWVVRUaNasWbJYLOratas+/PBDDRw4UJ06daryYq/t27c77lpQUVGhPn36aOjQobXyufTs2VNHjx7V008/LenqsoOXXnqpxnF9+vTR+vXrHbcEq+nOCwAAAO7Aw3D2TVLhNGOStinvQrGzywAA3IKslBgu9nJz7tKPOr/YCwAAALjTnHKxl7MVFBRo9OjRlV7/9a9/rXHjxl13zLvvvqu//OUvlV7/8MMPFRgYWOs1AgAAoHpuGWQDAwOve5eE6owbN67KkAsAAIC655ZBFld9ML2vs0sAANyiklJuuwgQZN1YQYFVFRVc6+cK3GXBvhnQC9dCPwBUh4u9AAAAYEoEWQAAAJgSQRYAAACmRJAFAACAKRFkAQAAYEoEWQAAAJgSQRYAAACmRJAFAACAKRFkAQAAYEoEWQAAAJgSQRYAAACmRJAFAACAKRFkAQAAYEoEWQAAAJgSQRYAAACmRJAFAACAKXk5uwA4T2Cgn7NLwM8EBTVydgn4F3rhWszYj5JSm65cLnZ2GUC9R5B1Y2OStinvAv/QAkBty0qJ0RVnFwG4AZYWAAAAwJQIsgAAADAlgiwAAABMiSALAAAAUzJ1kF20aJHmzJlTq/vMy8vT4MGDFRMTo+joaI0fP16XLl2q1TluVm5urlatWnXNaxEREfr++++dVBEAAIDzmTrI3gn+/v7685//rMzMTGVlZenee+/V+++/79SaTp8+XSnIAgAAuDuXuv1WcXGxpk6dqmPHjsnLy0vBwcGaPn26Jk2apMLCQpWWlqpnz56aMmXKdccvXbpU27Ztk91uV9OmTfXWW28pKChIn376qRYuXCiLxSK73a4ZM2aoc+fO191HgwYN1KBBA0mS3W5XUVGRGjWq/h6Gzz33nNq2batDhw7p9OnTev7559W0aVOtWLFCeXl5euWVV9S/f39JUnZ2thYsWCC73a6AgAAlJiaqZcuW2r9/v5KTk9WhQwcdPHhQHh4eSk1NVUhIiBITE5Wbm6uYmBi1bNlSaWlpkqQtW7ZoxowZys/P1+jRozVixIhb/egBAABMx6WC7O7du1VYWKjNmzdLki5duqSGDRtqyZIl8vX1VXl5ucaMGaPs7Gz16NHjmrGZmZk6deqUVq9eLYvFopUrV2r27NlKSUlRWlqaEhMT1bFjR9ntdhUX13zv1JiYGJ05c0ahoaFavHhxjdufPXtWK1asUH5+vvr27atRo0YpPT1dhw4d0rhx49S/f38VFBRoypQpWrFihR588EFlZGQoISFBGRkZkqRjx47pnXfeUWJiohYvXqz3339fKSkpmjlzpubMmaO1a9deM2dJSYlWrVql3NxcRUdHa9CgQfL19b3RjxsAcAeZ8UEON6K+HpdZuXs/XCrIhoWFKScnR7NmzVKnTp305JNPym63a+7cuTp48KAMw9BPP/2kI0eOVAqyO3bs0DfffKNBgwZJuno21c/v6pOrunTponfeeUd9+/ZVjx499NBDD9VYS2ZmpsrLy5WUlKSPPvpIL774YrXbP/XUU7JYLGratKmaNGmiPn36SJLatm2rc+fOqbS0VF999ZXCwsL04IMPSpLi4uI0a9YsWa1WSVJwcLDatGkjSQoPD9dnn31W7ZyRkZGSpObNm6tx48Y6e/asQkJCajw2AMCdl59f/x6JEBTUqF4el1m5Sz8sFo8qn0bqUkH2/vvv18aNG7Vv3z5lZ2crNTVVMTExunz5sjIyMuTj46MZM2aotLS00ljDMPTSSy9pyJAhld577bXXdPToUe3bt08TJkzQCy+8oPj4+BrradCggQYNGqQZM2bUGGR9fHwcX3t6ejq+9/T0lCTZbLYa5/P29nZ8bbFYahzzn3Pa7fYa5wAAAKgvXOpir7Nnz8rT01N9+vTRq6++qvPnzys3N1dBQUHy8fHRuXPntH379uuOjYiI0MqVKx13GCgrK9ORI0ckScePH1doaKhGjhypgQMH6uuvv66yhjNnzqiwsFCSVFFRoU8++eSGzuDeiPDwcB05ckQ5OTmSpHXr1qlNmzaOM8dV8fPzc5y1BQAAwFUudUb26NGjSklJkXQ1RI4dO1YDBgzQhAkTFBUVpaZNm6pr167XHRsbG6uLFy86LngyDEPPPPOMwsLClJKSoh9++EGenp5q3Lix3n777SprOHHihGbPni3DMGQYhsLCwvT666/XyvEFBARo7ty5SkhIkM1mU0BAgObNm1fjuNDQUAUHBysqKkqtWrVyXOwFAADgzjwMwzCcXQScY0zSNuVdqPnCNwDAzclKiamXaxfdZU2mWbhLP6pbI+tSSwsAAACAG+VSSwvq0m9/+1udOXPmmteaNWumJUuWXHf7Xbt2acGCBZVenzRpknr27HlHagQAAEDV3DbIVhVYq9KzZ08CKwAAgAtx2yAL6YPpfZ1dAgDUSyWlNd9yEcDtI8i6sYICqyoquNbPFbjLgn0zoBeuhX4AqA4XewEAAMCUCLIAAAAwJYIsAAAATIkgCwAAAFMiyAIAAMCUCLIAAAAwJYIsAAAATIkgCwAAAFMiyAIAAMCUCLIAAAAwJYIsAAAATIkgCwAAAFMiyAIAAMCUCLIAAAAwJYIsAAAATIkgCwAAAFPycnYBcJ7AQD9nl4CfCQpq5OwS8C/0omYlpTZduVzs7DIAuDmCrBsbk7RNeRf4QQTg5mWlxOiKs4sA4PZYWgAAAABTIsgCAADAlAiyAAAAMCWCLAAAAEyJIHuDvv76a02ePPmWx0+bNk0rVqyoxYqkiIgIff/997W6TwAAALMgyN6gdu3aKSUlxdllAAAA4F/cPsiGhoZq8eLFiouLU+/evbV3716lpKQoNjZWUVFRysnJkSTt379fgwcPliTl5uaqc+fOSk1NVWxsrPr166cDBw7UONeRI0f09NNPq1+/fpo+fbrKysokSVlZWRo6dKhiY2MVGxurvXv3OsZERERo4cKFGjZsmCIiIqo8q/vhhx9q5MiRunKFG+IAAAD3wH1kJTVu3Fhr1qzRli1b9PLLL2vBggWaPHmyli1bpsWLF2v+/PmVxly8eFHh4eGaOHGiNmzYoPnz5ys9Pb3aeb766iulp6fLx8dHY8eO1erVqzVixAh169ZNUVFR8vDw0PHjxzVq1ChlZ2c7xpWUlGjVqlXKzc1VdHS0Bg0aJF9fX0lSRUWFkpKSdOHCBS1btkze3t61++EAQBXq6sERPKDCtdAP1+Lu/SDISurfv78kqW3btpKkXr16SZIefvhh/eUvf7numLvvvtuxXXh4uObMmVPjPJGRkY4AGhsbq23btmnEiBE6deqUJk+erHPnzsnLy0s//fST8vPzFRQU5BgnSc2bN1fjxo119uxZhYSESJJee+01PfLII5o/f748PDxu9SMAgJuWn3/nfwMUFNSoTubBjaEfrsVd+mGxeFT5NFK3X1ogST4+PpIki8VyzRlNi8Uim8123TE3ut2NmDRpkp599llt2rRJ69atk6enp0pLSyvVJ0menp6y2+2O7x977DH97W9/0/nz5295fgAAADMiyNahrVu3qqioSDabTZmZmerSpYsk6cqVK2revLkkac2aNY61szciLi5OL7zwgkaNGqVz587dkboBAABcEUsL6lC7du00evRonT9/Xp06dVJ8fLwk6dVXX9XLL7+se+65R927d1eTJk1uar8DBw6Uj4+PRo0apWXLljlCMQAAQH3mYRiG4ewi4BxjkrYp70Kxs8sAYEJZKTGskXVD9MO1uEs/WCMLAACAeoelBbXo8OHDmjZtWqXXR4wYoaFDhzqhIgAAgPqLIFuLWrdurczMTGeXAQAA4BYIsm7sg+l9nV0CAJMqKb31Ww4CQG0hyLqxggKrKiq41s8VuMuCfTOgFwBgHlzsBQAAAFMiyAIAAMCUCLIAAAAwJYIsAAAATIkgCwAAAFMiyAIAAMCUCLIAAAAwJYIsAAAATIkgCwAAAFMiyAIAAMCUCLIAAAAwJYIsAAAATIkgCwAAAFMiyAIAAMCUCLIAAAAwJYIsAAAATMnL2QXAeQID/ZxdAn4mKKiRs0vAv9CLq0pKbbpyudjZZQBAlQiybmxM0jblXeCHFIDry0qJ0RVnFwEA1WBpAQAAAEyJIAsAAABTIsgCAADAlAiyAAAAMCWCLAAAAEzJ1EF20aJFmjNnTq3us6ysTGPGjFHnzp3VuXPnWt33rcrNzdWqVauueS0iIkLff/+9kyoCAABwPlMH2TvBYrFozJgxWr58ubNLcTh9+nSlIAsAAODuXOo+ssXFxZo6daqOHTsmLy8vBQcHa/r06Zo0aZIKCwtVWlqqnj17asqUKdcdv3TpUm3btk12u11NmzbVW2+9paCgIH366adauHChLBaL7Ha7ZsyYUeXZVi8vLz3++OPKzc294bqfe+45tW3bVocOHdLp06f1/PPPq2nTplqxYoXy8vL0yiuvqH///pKk7OxsLViwQHa7XQEBAUpMTFTLli21f/9+JScnq0OHDjp48KA8PDyUmpqqkJAQJSYmKjc3VzExMWrZsqXS0tIkSVu2bNGMGTOUn5+v0aNHa8SIETf5iQNA9Vzh4RCuUAP+P/rhWty9Hy4VZHfv3q3CwkJt3rxZknTp0iU1bNhQS5Yska+vr8rLyzVmzBhlZ2erR48e14zNzMzUqVOntHr1alksFq1cuVKzZ89WSkqK0tLSlJiYqI4dO8put6u4uPYfAnD27FmtWLFC+fn56tu3r0aNGqX09HQdOnRI48aNU//+/VVQUKApU6ZoxYoVevDBB5WRkaGEhARlZGRIko4dO6Z33nlHiYmJWrx4sd5//32lpKRo5syZmjNnjtauXXvNnCUlJVq1apVyc3MVHR2tQYMGydfXt9aPDYD7ys937iMRgoIaOb0G/H/0w7W4Sz8sFo8qn0bqUkE2LCxMOTk5mjVrljp16qQnn3xSdrtdc+fO1cGDB2UYhn766ScdOXKkUpDdsWOHvvnmGw0aNEiSZLfb5ed39aC7dOmid955R3379lWPHj300EMP1XrtTz31lCwWi5o2baomTZqoT58+kqS2bdvq3LlzKi0t1VdffaWwsDA9+OCDkqS4uDjNmjVLVqtVkhQcHKw2bdpIksLDw/XZZ59VO2dkZKQkqXnz5mrcuLHOnj2rkJCQWj82AAAAV+RSQfb+++/Xxo0btW/fPmVnZys1NVUxMTG6fPmyMjIy5OPjoxkzZqi0tLTSWMMw9NJLL2nIkCGV3nvttdd09OhR7du3TxMmTNALL7yg+Pj4Wq3dx8fH8bWnp6fje09PT0mSzWarcR/e3t6Ory0WS41j/nNOu91+UzUDAACYmUtd7HX27Fl5enqqT58+evXVV3X+/Hnl5uYqKChIPj4+OnfunLZv337dsREREVq5cqUuXbok6erdB44cOSJJOn78uEJDQzVy5EgNHDhQX3/9dZ0d08+Fh4fryJEjysnJkSStW7dObdq0cZw5roqfn5/jrC0AAACucqkzskePHlVKSookqaKiQmPHjtWAAQM0YcIERUVFqWnTpuratet1x8bGxurixYuOC54Mw9AzzzyjsLAwpaSk6IcffpCnp6caN26st99+u9o64uLidO7cOV2+fFk9evRQ9+7daxxzIwICAjR37lwlJCTIZrMpICBA8+bNq3FcaGiogoODFRUVpVatWjku9gIAAHBnHoZhGM4uAs4xJmmb8i7U/oVvAOqHrJQYp19I4i4Xs5gF/XAt7tKP6i72cqmlBQAAAMCNcqmlBXXpt7/9rc6cOXPNa82aNdOSJUuuu/2uXbu0YMGCSq9PmjRJPXv2vCM1AgAAoGosLQAAXFdJqU1XLjt3+ZG7/OrULOiHa3GXfpjmPrKoWwUFVlVU8P8YV+Au/xiZAb0AAPNgjSwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlL2cXAOcJDPRzdgn4maCgRs4uwS2UlNp05XKxs8sAANQCgqwbG5O0TXkX+IEO95KVEqMrzi4CAFArWFoAAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAU3LrIBsaGqrCwsJa29/+/fs1ePDgardZu3atTpw44fh++/btmjNnTq3VAAAA4C64/VYdW7dunfz9/RUcHCxJ6t27t3r37u3kqgAAAMyHIPsvx48fV3Jysi5cuKDy8nKNHDlScXFxkqTJkyfrxIkTKi8vV4sWLZScnKx77rlHkpSamqrNmzercePG6tSpU7VzrFmzRt98842SkpL0hz/8QVOnTtXZs2e1c+dOpaWlaf/+/Xr77bfVvn17ffXVV/Ly8tLcuXP17rvv6h//+IeaNWumRYsW6e6771ZZWZlSU1P1xRdfqKysTKGhoXrzzTfl6+t7xz8rwOxqevgED6dwLfTDtdAP1+Lu/SDISrLZbEpISNC8efMUEhIiq9WquLg4hYeHKyQkRK+//roCAgIkXQ2uy5YtU0JCgnbs2KEdO3Zo/fr1atiwoX73u99VO09cXJzWr1+v0aNHq1evXpKuLjX4uZycHM2ZM0dJSUmaNWuWxowZo9WrV+vee+/Viy++qE2bNmno0KH64x//qEaNGunjjz+WJM2bN09Lly7VxIkT78AnBNQv+flVPxIhKKhRte+jbtEP10I/XIu79MNi8ajyaaQEWUknT55UTk6OJk2a5HitvLxcx48fV0hIiDIzM5WVlaXy8nIVFRXpgQcekHR1TWxkZKTjLOiQIUP0/vvv31YtwcHBat26tSSpTZs2+uc//6l7771XktS2bVv98MMPkqQdO3bIarXqk08+kSSVlZUpLCzstuYGAAAwE4KsJMMw5O/vr8zMzErvHThwQB999JHS09MVEBCgrKwsrV69+o7V4u3t7fja09NTPj4+13xfWlrqqPmNN95Q165d71gtAAAArsyt71rwb8HBwWrYsKHWr1/veC0nJ0dWq1WXL1+Wn5+fmjRporKyMq1Zs8axTZcuXbRlyxYVFRXJbrdf815VfH19deXK7f8aICIiQsuXL1dJSYkkyWq1Kicn57b3CwAAYBYEWUleXl5asmSJNm/erOjoaA0YMECzZs1SWVmZunfvrhYtWqhfv34aMWKE2rRp4xjXq1cv9erVSzExMYqPj3csOajOsGHD9N577ykmJkZ79uy55ZrHjh2rsLAwDRkyRNHR0Xr22WcJsgAAwK14GIZhOLsIOMeYpG3Ku1Ds7DKAOpWVEsPFXiZCP1wL/XAt7tKP6i724owsAAAATImLve6AXbt2acGCBZVenzRpknr27OmEigAAAOofguwd0LNnTwIrAADAHUaQdWMfTO/r7BKAOldSanN2CQCAWkKQdWMFBVZVVHCtnytwlwX7AADUJi72AgAAgCkRZAEAAGBKBFkAAACYEkEWAAAApkSQBQAAgCkRZAEAAGBKBFkAAACYEkEWAAAApkSQBQAAgCkRZAEAAGBKBFkAAACYEkEWAAAApkSQBQAAgCkRZAEAAGBKBFkAAACYEkEWAAAApuTl7ALgPIGBfs4uAT8TFNTI2SU4lJTadOVysbPLAACgWgRZNzYmaZvyLhBWUFlWSoyuOLsIAABqwNICAAAAmBJBFgAAAKZEkAUAAIApEWQBAABgSqYJsjExMSopKbmlsYcPH9bmzZtruaLqvfjii/rxxx8lSWvXrtWJEydua3/Lly9XQUFBbZQGAABQL5gmyGZmZqphw4a3NPbw4cPaunVrle/bbLZbLatKy5YtU4sWLSRJ69at08mTJ29rf//3f/9HkAUAAPgZ0wTZ0NBQFRYWSpIiIiK0cOFCDRs2TBEREVqxYkWV4y5cuKC0tDTt2bNHMTExSkpKcuxv0aJFiouL07vvvqujR4/q2Wef1aBBgxQZGanly5c79jFt2jTNnDlTzz//vPr27aspU6bIMAxJ0qpVq9S/f3/FxMQoOjpaOTk5jhq///57rVmzRt98842SkpIUExOjPXv2VFnrgQMHFB0drejoaCUmJqpXr176/vvvtXjxYuXl5Wn8+PGKiYnRsWPH1K1bN+Xl5TnGJiUlacmSJbf8+QIAAJiNae8jW1JSolWrVik3N1fR0dEaNGiQfH19K23n7++v8ePHa+fOnUpLS7vmPR8fH61Zs0aSZLVatXz5cnl7e6uwsFBDhw5V9+7dFRISIkn6xz/+oeXLl8vDw0ODBg3Snj179MQTT2ju3LnasmWLfvGLX6isrEx2u/2aOeLi4rR+/XqNHj1avXr1qvJ4ysrKNHHiRM2fP1+dO3fW5s2b9ec//1mS9NJLLykjI0NpaWl66KGHJEmxsbFavXq1xo0bp8LCQm3atEkbN2689Q8U+A+u9ICGuubOx+6K6IdroR+uxd37YdogGxkZKUlq3ry5GjdurLNnzzpC540aNGiQ4+uSkhK9+eabOnr0qDw8PJSXl6cjR4449tmnTx/5+PhIktq0aaMff/xRTzzxhLp06aJp06apV69eevLJJ3X//fff0vEcP35cd911lzp37uw4vpkzZ1a5/fDhwzV8+HD99re/1YYNG/TEE08oMDDwluYGric/3z0fiRAU1Mhtj90V0Q/XQj9ci7v0w2LxqPJppKZZWvCf/h0qJcnT07PSmdAbcffddzu+XrBggYKCgrRu3Tpt2LBB7du3V2lpaY3zvfvuu/r973+v4uJiPf/889q1a9etHM51eXh4VPles2bN9PDDD2v79u1auXKlhg8fXmvzAgAAmIFpg+zN8PPz05Ur1f+P5cqVK7r33nvl5eWl77//XgcOHKhxvzabTadOnVL79u01duxYPfHEEzp8+HCl7Xx9fWucv1WrViopKXHMu3XrVl2+fLnafYwYMULJycny8vJSx44da6wXAACgPnGLINu1a1cVFxdr4MCBjou9/tO/16FGR0fr3Xff1WOPPVbjfisqKjRt2jRFR0dr4MCBys/P17BhwyptN2zYML333nvVXuzl7e2tBQsWaNasWYqOjtbnn3+u++67z/H+888/r9dee81xsZckderUST4+Pnr22Wdv5GMAAACoVzyMf19+D5cTERGhJUuWOC7w+k+nTp3SM888o7/85S+66667bnr/Y5K2Ke9C8e2WiXooKyXGLdZdXY+7rDkzC/rhWuiHa3GXflS3Rta0F3u5u4ULF2rNmjWaNm3aLYVYAAAAs6tXQXbw4MGVLvrq0KGDEhMTnVRRZRkZGde97+3s2bPVunXra17bsWNHlfuZMGGCJkyYUOv1AQAAmEW9CrJr1651dgk1Gjp0qIYOHersMgAAAEyvXgVZ3JwPpvd1dglwUSWltf/YZgAAahtB1o0VFFhVUcG1fq7AXRbsAwBQm9zi9lsAAACofwiyAAAAMCWCLAAAAEyJIAsAAABTIsgCAADAlAiyAAAAMCWCLAAAAEyJIAsAAABTIsgCAADAlAiyAAAAMCWCLAAAAEyJIAsAAABTIsgCAADAlAiyAAAAMCWCLAAAAEyJIAsAAABT8nJ2AXCewEA/Z5dQb5SU2nTlcrGzywAAwK0QZN3YmKRtyrtA+KoNWSkxuuLsIgDWNhWAAAARSklEQVQAcDMsLQAAAIApEWQBAABgSgRZAAAAmBJBFgAAAKZUL4JsaGioCgsLa32/+/fv1+DBg6vdZtq0aVqxYkWtz/2fDh8+rM2bN9/xeQAAAMyiXgRZd3D48GFt3brV2WUAAAC4jHp3+61Dhw7p7bffVlFRke6++269/vrrat++vSTps88+06JFi2Sz2WSxWDR79myFhYVp8uTJOnHihMrLy9WiRQslJyfrnnvuueE5jxw5oqeffloXLlzQY489ppkzZ8rb21s//fST3njjDf3444+SpDFjxig2NrbK/ZSVlSkpKUn79u2Tv7+/WrdurfPnz2vWrFlKS0uT1WpVTEyMHnvsMd177706ffq03njjDUnSTz/9pIEDB2r79u266667buMTBAAAMId6FWTLyso0fvx4vfPOO+ratav27Nmj8ePHa9u2bTp9+rSmT5+uP//5z3rggQdUVlamsrIySdLrr7+ugIAASVJqaqqWLVumhISEG573q6++Unp6unx8fDR27FitXr1aI0aMUFJSkn75y1/qvffeU15engYPHqw2bdrooYceuu5+Vq1apdzcXG3atEk2m03Dhw9X8+bN5e/vr/Hjx2vnzp1KS0uTJF28eFEDBgxQQkKCfH19tWrVKkVFRRFinSgoqJFTx6P20AvXQj9cC/1wLe7ej3oVZE+cOKEGDRqoa9eukqTHH39cDRo00IkTJ3TgwAH16NFDDzzwgCTJ29tb3t7ekqTMzExlZWWpvLxcRUVFjm1uVGRkpHx9fSVJsbGx2rZtm0aMGKG9e/dq2rRpkqRf/OIX6tmzp/bv319lkN2/f79iY2PVoEEDNWjQQAMHDtSXX3553W2bNGmiiIgIZWZmKj4+XhkZGVq+fPlN1Y3alZ9/649ECApqdFvjUXvohWuhH66FfrgWd+mHxeJR5dNI61WQvRUHDhzQRx99pPT0dAUEBCgrK0urV692dlk3ZMSIEUpISFBgYKBCQkJuOoADAACYWb262Cs4OFjl5eXat2+fJGnv3r2y2WwKDg7WE088oezsbJ08eVLS1WUIVqtVly9flp+fn5o0aaKysjKtWbPmpufdunWrioqKZLPZlJmZqS5dukiSunbt6gjF+fn52rVrl+O96+nSpYsyMzNls9lUUlKijRs3Ot7z8/PTlSvX/q8rNDRUTZo0UXJysp599tmbrhsAAMDM6tUZWW9vb6WlpV1zsdfChQvl7e2tBx54QG+99ZYmTpwou90uT09PzZ49W927d9eGDRvUr18/+fv769FHH9XXX399U/O2a9dOo0eP1vnz59WpUyfFx8dLkqZPn66ZM2cqOjpakpSQkKBf/vKXVe4nPj5eR48eVWRkpPz9/dWuXTsVFBRIuhqKP/zwQw0cOFCdOnXS9OnTJUlDhw5VamqqevXqdSsfGQAAgGl5GIZhOLsIXN/atWuvucDrel5//XUFBwfrN7/5zU3vf0zSNuVdKL6dEvEvWSkxrJGtJ+iFa6EfroV+uBZ36Ud1a2Tr1dICd3Lu3Dn169dPP/zwg4YPH+7scgAAAOpcvVpacKccPnzYcfeBnxsxYoSGDh160/sbPHiw7Hb7Na916NBBiYmJlbar6sliTZs21SeffHLTcwMAANQXBNkb0Lp1a2VmZtba/tauXVtr+wIAAHBXBFk39sH0vs4uod4oKbU5uwQAANwOQdaNFRRYVVHBtX4AAMCcuNgLAAAApkSQBQAAgCkRZAEAAGBKBFkAAACYEkEWAAAApkSQBQAAgCkRZAEAAGBKBFkAAACYEkEWAAAApkSQBQAAgCkRZAEAAGBKBFkAAACYEkEWAAAApkSQBQAAgCkRZAEAAGBKBFkAAACYkpezC4DzBAb6ObsEpysptenK5WJnlwEAAG4BQdaNjUnaprwL7h3islJidMXZRQAAgFvC0gIAAACYEkEWAAAApkSQBQAAgCkRZAEAAGBKBFkAAACYkksE2ZiYGJWUlDi7jFqVm5urVatW3fS4tWvXavz48XegIgAAgPrFJYJsZmamGjZs6OwyatXp06dvKcgCAADgxtTZfWRDQ0P1u9/9Ttu3b1dJSYkmTZqkfv36Od778ssv5evrq+PHjys5OVkXLlxQeXm5Ro4cqbi4OEnSwYMHNXfuXBUWFkqSpkyZom7dulU5pri4WFOnTtWxY8fk5eWl4OBgLVy4sMoan3vuOYWFhengwYO6dOmS+vfvr0mTJkmSPvzwQ23atEl2u10+Pj5688031bp16yrnSExMVG5urmJiYtSyZUulpaVdd86ysjIlJSVp37598vf3V+vWrR3vLVq0SEVFRZo6dWql78vKypSamqovvvhCZWVlCg0N1ZtvvilfX9/bb5abCQpq5OwSJLlOHaAXroZ+uBb64VrcvR91+kAEi8WizMxMHT9+XM8884weffRRBQYGOt632WxKSEjQvHnzFBISIqvVqri4OIWHhyswMFDjxo3TokWL9Mgjj8hut8tqtVY75vjx4yosLNTmzZslSZcuXaqxxpycHKWnp6u0tFRPP/20OnbsqF69eik2NlajR4+WJO3Zs0dvvPGGVq9erd27d193jpkzZ2rOnDlau3ZttfOtWrVKubm52rRpk2w2m4YPH67mzZvXWOcf//hHNWrUSB9//LEkad68eVq6dKkmTpxY41hcKz/f+Y9ECApq5BJ1gF64GvrhWuiHa3GXflgsHlU+jbROg+zQoUMlSa1atVKbNm3097//Xb1793a8f/LkSeXk5DjOgkpSeXm5jh8/rlOnTikkJESPPPKIJMnT01P33HOPjh07VuWYsLAw5eTkaNasWerUqZOefPLJGmuMjY2Vl5eXvLy8FBkZqX379qlXr1765ptv9N///d+6dOmSPDw8dPLkSUm6pTl+bv/+/YqNjVWDBg3UoEEDDRw4UF9++WWN43bs2CGr1apPPvlE0tUzu2FhYTc1NwAAgJm51CNqDcOQv7+/MjMzK723c+fOmx4jSRs3btS+ffuUnZ2t1NRUZWVlycfH56bqKisr04QJE7RixQq1bdtW586dU48ePSRJ999//3XnqA2enp6qqKhwfF9aWur42jAMvfHGG+ratWutzAUAAGA2dXqx15o1ayRdPfP63XffKTw8/Jr3g4OD1bBhQ61fv97xWk5OjqxWq8LDw5WTk6ODBw9Kkux2uy5dulTtmLNnz8rT01N9+vTRq6++qvPnz+vixYvV1rhhwwbZbDYVFRVpy5Yt6tKli8rKymSz2dSsWTNJ0sqVKx3bVzWHn5+frFZrjZ9Jly5dlJmZKZvNppKSEm3cuNHxXsuWLfXtt9+qoqJCVqv1mjAfERGh5cuXO+72YLValZOTU+N8AAAA9UWdnpG12+2KjY1VcXGxEhMTr1kfK0leXl5asmSJkpOT9cEHH6iiokKBgYH6wx/+oICAAC1atEizZ89WUVGRLBaLpk6dqscff7zKMUePHlVKSookqaKiQmPHjlXTpk2rrbFVq1Z6+umnHRd79erVS5I0fvx4DRkyRE2aNHFcpCapyjkCAwMVHBysqKgotWrVqsqLveLj43X06FFFRkbK399f7dq1U0FBgSTp17/+tTZv3qz+/fvrvvvuU9u2bR3jxo4dq3fffVdDhgyRh4eHPDw8NG7cOIWEhNxkVwAAAMzJwzAMoy4m+vmdCVzVc889p9GjRzvCa303Jmmb8i4UO7sMp8pKiXGJhfLusmDfDOiFa6EfroV+uBZ36Ud1F3u5xH1kAQAAgJtVZ0sLjh49WldTVWvXrl1asGBBpdcnTZqkP/3pT3ds3sGDB8tut1/zWocOHZSYmHjH5gQAAKjP6mxpAeCKSkptunLZ+csr3OXXQ2ZAL1wL/XAt9MO1uEs/XOY+snAtBQVWVVTw/xgAAGBOrJEFAACAKRFkAQAAYEoEWQAAAJgSQRYAAACmRJAFAACAKRFkAQAAYErcfsuNWSwezi4BP0M/XAe9cC30w7XQD9fiDv2o7hh5IAIAAABMiaUFAAAAMCWCLAAAAEyJIAsAAABTIsgCAADAlAiyAAAAMCWCLAAAAEyJIAsAAABTIsgCAADAlAiyAAAAMCWCbD1y4sQJDRs2TP369dOwYcN08uTJStvY7XbNmjVLffr00a9//WtlZGTc0Hu4ebfbj/fee08DBgxQdHS0Bg8erL/+9a91WH39c7v9+Lfjx4+rQ4cOmjNnTh1UXX/VRj82b96s6OhoRUVFKTo6Wj/99FMdVV//3G4/CgoKNHbsWEVHR6t///568803ZbPZ6vAI6pcb6cfu3bs1ePBgPfzww5X+PXKrn+cG6o3nnnvOWL9+vWEYhrF+/Xrjueeeq7TNunXrjNGjRxt2u90oKCgwunfvbpw6darG93Dzbrcf2dnZRlFRkWEYhnH48GHjV7/6lVFcXFx3B1DP3G4/DMMwbDabMWLECGPSpEnG7Nmz66z2+uh2+3Ho0CGjf//+Rl5enmEYhnH58mWjpKSk7g6gnrndfiQlJTn+TpSVlRlDhgwxNm3aVHcHUM/cSD9OnjxpfPfdd8aCBQsq/XvkTj/POSNbTxQUFOi7775TVFSUJCkqKkrfffedzp8/f812mzdv1tChQ2WxWBQQEKA+ffpo69atNb6Hm1Mb/ejevbvuuusuSVJoaKgMw9DFixfr9kDqidrohyQtXbpUTz75pB544IG6LL/eqY1+LF++XKNHj1ZQUJAkqVGjRvLx8anbA6knaqMfHh4eKiwsVEVFhcrKylReXq6mTZvW+bHUBzfaj5YtW6p169by8vKqtA93+nlOkK0nzpw5o6ZNm8rT01OS5OnpqV/84hc6c+ZMpe3uu+8+x/fNmjXT2bNna3wPN6c2+vFz69evV4sWLXTvvffe2cLrqdrox5EjR7R7926NGjWqzuqur2qjHzk5OTp16pSGDx+uQYMG6f3335dhGHV3EPVIbfTj5Zdf1okTJ9StWzfHn1/96ld1dxD1yI32o6Z9uMvPc4Is4OI+//xzLVy4UCkpKc4uxW2Vl5drxowZmjVrluOHC5zLbrfr6NGj+p//+R/96U9/UnZ2tjIzM51dltvaunWrQkNDtXv3bmVnZ+vAgQP19gwgXAtBtp5o1qyZzp07J7vdLunqP/J5eXlq1qxZpe3++c9/Or4/c+aM4yxfde/h5tRGPyTp4MGDeuWVV/Tee++pVatWdVN8PXS7/cjPz9ePP/6osWPHKiIiQv/7v/+r1atXa8aMGXV6HPVFbfz9uO+++/TUU0/J29tbfn5+6t27tw4dOlR3B1GP1EY/VqxYoYEDB8pisahRo0aKiIjQ/v376+4g6pEb7UdN+3CXn+cE2XoiMDBQrVu31saNGyVJGzduVOvWrRUQEHDNdk899ZQyMjJUUVGh8+fP69NPP1W/fv1qfA83pzb6cejQIU2cOFFpaWlq27ZtnR9DfXK7/bjvvvu0f/9+7dixQzt27NDIkSMVHx+vt956yxmHY3q18fcjKipKu3fvlmEYKi8v1759+xQWFlbnx1If1EY/mjdvruzsbElSWVmZ9u7dq1/+8pd1eyD1xI32ozpu9fPcyReboRYdO3bMGDJkiNG3b19jyJAhRk5OjmEYhvGb3/zGOHTokGEYV6+6njlzptG7d2+jd+/eRnp6umN8de/h5t1uPwYPHmx07tzZGDhwoOPPkSNHnHIs9cHt9uPn0tLSuGvBbbrdftjtdiM5Odl46qmnjMjISCM5Odmw2+1OOZb64Hb78cMPPxijRo0yoqKijP79+xtvvvmmUV5e7pRjqQ9upB9ffPGF0b17d6Njx45GeHi40b17dyM7O9swDPf6ee5hGKyOBwAAgPmwtAAAAACmRJAFAACAKRFkAQAAYEoEWQAAAJgSQRYAAACmRJAFAACAKRFkAQAAYEoEWQAAAJjS/wNOmtq4PWK+mwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}