lecture4_ipynb의_사본.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/wjdsbs/DAP__2022/blob/main/lecture4_ipynb%EC%9D%98_%EC%82%AC%EB%B3%B8.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HQS2UZY1bFnh"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import plotly.express as px\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CRu9j1LVbm67"
      },
      "source": [
        "# Cars93 data\n",
        "In this lab, we would like to explore data about 93 number of vehicles."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "XURptut9Y0Au",
        "outputId": "5a1ea84a-645a-491b-c326-8718d94f4eb9"
      },
      "source": [
        "df = pd.read_csv('https://raw.githubusercontent.com/selva86/datasets/master/Cars93_miss.csv')\n",
        "df.head()"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Manufacturer    Model     Type  Min.Price  Price  Max.Price  MPG.city  \\\n",
              "0        Acura  Integra    Small       12.9   15.9       18.8      25.0   \n",
              "1          NaN   Legend  Midsize       29.2   33.9       38.7      18.0   \n",
              "2         Audi       90  Compact       25.9   29.1       32.3      20.0   \n",
              "3         Audi      100  Midsize        NaN   37.7       44.6      19.0   \n",
              "4          BMW     535i  Midsize        NaN   30.0        NaN      22.0   \n",
              "\n",
              "   MPG.highway             AirBags DriveTrain  ... Passengers  Length  \\\n",
              "0         31.0                None      Front  ...        5.0   177.0   \n",
              "1         25.0  Driver & Passenger      Front  ...        5.0   195.0   \n",
              "2         26.0         Driver only      Front  ...        5.0   180.0   \n",
              "3         26.0  Driver & Passenger        NaN  ...        6.0   193.0   \n",
              "4         30.0                 NaN       Rear  ...        4.0   186.0   \n",
              "\n",
              "   Wheelbase  Width  Turn.circle Rear.seat.room  Luggage.room  Weight  \\\n",
              "0      102.0   68.0         37.0           26.5           NaN  2705.0   \n",
              "1      115.0   71.0         38.0           30.0          15.0  3560.0   \n",
              "2      102.0   67.0         37.0           28.0          14.0  3375.0   \n",
              "3      106.0    NaN         37.0           31.0          17.0  3405.0   \n",
              "4      109.0   69.0         39.0           27.0          13.0  3640.0   \n",
              "\n",
              "    Origin           Make  \n",
              "0  non-USA  Acura Integra  \n",
              "1  non-USA   Acura Legend  \n",
              "2  non-USA        Audi 90  \n",
              "3  non-USA       Audi 100  \n",
              "4  non-USA       BMW 535i  \n",
              "\n",
              "[5 rows x 27 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-92e3b8dc-6e59-41bf-91aa-206b7639e893\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Manufacturer</th>\n",
              "      <th>Model</th>\n",
              "      <th>Type</th>\n",
              "      <th>Min.Price</th>\n",
              "      <th>Price</th>\n",
              "      <th>Max.Price</th>\n",
              "      <th>MPG.city</th>\n",
              "      <th>MPG.highway</th>\n",
              "      <th>AirBags</th>\n",
              "      <th>DriveTrain</th>\n",
              "      <th>...</th>\n",
              "      <th>Passengers</th>\n",
              "      <th>Length</th>\n",
              "      <th>Wheelbase</th>\n",
              "      <th>Width</th>\n",
              "      <th>Turn.circle</th>\n",
              "      <th>Rear.seat.room</th>\n",
              "      <th>Luggage.room</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Origin</th>\n",
              "      <th>Make</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Acura</td>\n",
              "      <td>Integra</td>\n",
              "      <td>Small</td>\n",
              "      <td>12.9</td>\n",
              "      <td>15.9</td>\n",
              "      <td>18.8</td>\n",
              "      <td>25.0</td>\n",
              "      <td>31.0</td>\n",
              "      <td>None</td>\n",
              "      <td>Front</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>177.0</td>\n",
              "      <td>102.0</td>\n",
              "      <td>68.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>26.5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2705.0</td>\n",
              "      <td>non-USA</td>\n",
              "      <td>Acura Integra</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Legend</td>\n",
              "      <td>Midsize</td>\n",
              "      <td>29.2</td>\n",
              "      <td>33.9</td>\n",
              "      <td>38.7</td>\n",
              "      <td>18.0</td>\n",
              "      <td>25.0</td>\n",
              "      <td>Driver &amp; Passenger</td>\n",
              "      <td>Front</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>195.0</td>\n",
              "      <td>115.0</td>\n",
              "      <td>71.0</td>\n",
              "      <td>38.0</td>\n",
              "      <td>30.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>3560.0</td>\n",
              "      <td>non-USA</td>\n",
              "      <td>Acura Legend</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Audi</td>\n",
              "      <td>90</td>\n",
              "      <td>Compact</td>\n",
              "      <td>25.9</td>\n",
              "      <td>29.1</td>\n",
              "      <td>32.3</td>\n",
              "      <td>20.0</td>\n",
              "      <td>26.0</td>\n",
              "      <td>Driver only</td>\n",
              "      <td>Front</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>180.0</td>\n",
              "      <td>102.0</td>\n",
              "      <td>67.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>28.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>3375.0</td>\n",
              "      <td>non-USA</td>\n",
              "      <td>Audi 90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Audi</td>\n",
              "      <td>100</td>\n",
              "      <td>Midsize</td>\n",
              "      <td>NaN</td>\n",
              "      <td>37.7</td>\n",
              "      <td>44.6</td>\n",
              "      <td>19.0</td>\n",
              "      <td>26.0</td>\n",
              "      <td>Driver &amp; Passenger</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>6.0</td>\n",
              "      <td>193.0</td>\n",
              "      <td>106.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>37.0</td>\n",
              "      <td>31.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>3405.0</td>\n",
              "      <td>non-USA</td>\n",
              "      <td>Audi 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>BMW</td>\n",
              "      <td>535i</td>\n",
              "      <td>Midsize</td>\n",
              "      <td>NaN</td>\n",
              "      <td>30.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>22.0</td>\n",
              "      <td>30.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Rear</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>186.0</td>\n",
              "      <td>109.0</td>\n",
              "      <td>69.0</td>\n",
              "      <td>39.0</td>\n",
              "      <td>27.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>3640.0</td>\n",
              "      <td>non-USA</td>\n",
              "      <td>BMW 535i</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 27 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-92e3b8dc-6e59-41bf-91aa-206b7639e893')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-92e3b8dc-6e59-41bf-91aa-206b7639e893 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-92e3b8dc-6e59-41bf-91aa-206b7639e893');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gGdixnTAY2B4"
      },
      "source": [
        "## Matplotlib\n",
        "Please refer the [official doc](https://matplotlib.org/) or following [article](https://www.machinelearningplus.com/plots/matplotlib-tutorial-complete-guide-python-plot-examples/) for further detailed tricks."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Line-plot\n",
        "Draw a line-plot for the age-specific height averages for men and women\n",
        "\n",
        "- Men are represented in blue and women in red\n",
        "- Use x_label() and y_label(), title(), and legend() to draw\n",
        "- Use xticks() to separate the intervals on the x-axis graph"
      ],
      "metadata": {
        "id": "AFEVZEKRFYxO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Male Data\n",
        "x = [20,30,40,50,60]\n",
        "y = [174.4, 174.9, 173.2, 170.5, 168.3]\n",
        "\n",
        "plt.plot(x, y, label='men', color = 'blue')\n",
        "\n",
        "# Female Data\n",
        "x = [20,30,40,50,60]\n",
        "y = [161.3, 161.9, 160.5, 157.6, 155.4]\n",
        "\n",
        "plt.plot(x, y, label='women', color = 'red')\n",
        "\n",
        "# Sepsarate x \n",
        "plt.xticks(np.arange(20,70,10))\n",
        "\n",
        "# Draw\n",
        "plt.xlabel(\"age\")\n",
        "plt.ylabel(\"height\")\n",
        "plt.title(\"age vs height lineplot\")\n",
        "plt.legend()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "qxmCNDM3FXLH",
        "outputId": "65a3f5b4-d344-41e7-bccf-6a4e6f0dc042"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Histogram Plot with Barplot\n",
        "Draw the horsepower mean by type\n",
        "\n",
        "- df_sample should contain only `Type` and `Horsepower` properties\n",
        "- Drop the `NAN` value"
      ],
      "metadata": {
        "id": "vWzP080x7JDF"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Returns all the number of times for each value in the `Type` \n"
      ],
      "metadata": {
        "id": "OpIooN5hCEik"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df['Type'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IayJSXko7OtX",
        "outputId": "45299f18-4cfc-44ca-a73e-d9f05752abdf"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Midsize    22\n",
              "Small      20\n",
              "Compact    16\n",
              "Sporty     12\n",
              "Large      11\n",
              "Van         9\n",
              "Name: Type, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Use barh() to draw the histogram by `Type`\n"
      ],
      "metadata": {
        "id": "0CmCP-4HC2U2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Draw plot\n",
        "plt.bar(df['Type'].value_counts().index,\n",
        "         df['Type'].value_counts().values)\n",
        "plt.title('Number of vehicles by Type')\n",
        "plt.xlabel('#')\n",
        "plt.ylabel('Type')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "rFG6lw8o7pj5",
        "outputId": "a625c3c2-d04c-4b73-f0a3-6c285a5657ad"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Type')"
            ]
          },
          "metadata": {},
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Pie Plot\n",
        "\n",
        "Draw *pie chart* of `Type` (hint, refer pandas'  [`.value_counts`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.value_counts.html) method and the [article](https://medium.com/@kvnamipara/a-better-visualisation-of-pie-charts-by-matplotlib-935b7667d77f) about *pie chart*).\n",
        "Please give the `startangle` option to 30\n",
        "\n",
        "- Use `autopct` to represent decimal places"
      ],
      "metadata": {
        "id": "BdXkcFThD7Op"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "typeCount = df['Type'].value_counts(normalize=True)\n",
        "# typeCount\n",
        "fig, ax = plt.subplots(figsize=(6,6))\n",
        "\n",
        "# Draw!!\n",
        "ax.pie(\n",
        "      typeCount,\n",
        "       labels = typeCount.index, \n",
        "       autopct = '%1.1f%%', \n",
        "       startangle = 30\n",
        "    )\n",
        "\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "id": "C6ibEj1wD3qZ",
        "outputId": "8fde839f-a9c2-412a-a494-358efdcf8408"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x432 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zo0NPo0dySM_"
      },
      "source": [
        "## Seaborn\n",
        "Please refer the [official doc](https://seaborn.pydata.org/)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P3-cBELIytAp"
      },
      "source": [
        "### Boxplot\n",
        "Plot *boxplot* which comparing the `Price` according to `Manufacturer`. The plot must satisify following conditions.\n",
        " * nested grouping within additional categorical variable, `Origin`\n",
        " * using `Blues` color palette\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "AOi3qiCtyYFf",
        "outputId": "845e23a6-ecdf-4b3f-f819-e2d1d58c6c07"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(31,8))\n",
        "sns.boxplot(data = df, x = 'Manufacturer', y = 'Price',\n",
        "            hue = 'Origin', palette= \"Blues\")\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2232x576 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Heatmap and Pairplot\n",
        "This part brought the correlation problem that was dealt with in the previous practice problem. Please refer `lecture3.ipynb`"
      ],
      "metadata": {
        "id": "3yQX3EBGZeq0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Select `Price`,`Horsepower`, `Passengers`, `Length`, `Weight`\n",
        "- Put this in the `df`\n",
        "- Use the `pearson` method to obtain the correlation value\n"
      ],
      "metadata": {
        "id": "aNPn5XvOYD7W"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "targetVar = ['Price', 'Horsepower', 'Passengers', 'Length', 'Weight'] \n",
        "selectedDataFrame = df[targetVar]\n",
        "corr = selectedDataFrame.corr(method='pearson')\n",
        "corr"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "f4R2w7_-HBYS",
        "outputId": "ce640506-533f-46d2-f4a2-01440343444d"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               Price  Horsepower  Passengers    Length    Weight\n",
              "Price       1.000000    0.794607    0.040890  0.564704  0.642563\n",
              "Horsepower  0.794607    1.000000   -0.039870  0.552906  0.777764\n",
              "Passengers  0.040890   -0.039870    1.000000  0.473748  0.577401\n",
              "Length      0.564704    0.552906    0.473748  1.000000  0.813305\n",
              "Weight      0.642563    0.777764    0.577401  0.813305  1.000000"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f27bf58e-d09c-447b-b135-45a558b04cae\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Price</th>\n",
              "      <th>Horsepower</th>\n",
              "      <th>Passengers</th>\n",
              "      <th>Length</th>\n",
              "      <th>Weight</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Price</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.794607</td>\n",
              "      <td>0.040890</td>\n",
              "      <td>0.564704</td>\n",
              "      <td>0.642563</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Horsepower</th>\n",
              "      <td>0.794607</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.039870</td>\n",
              "      <td>0.552906</td>\n",
              "      <td>0.777764</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Passengers</th>\n",
              "      <td>0.040890</td>\n",
              "      <td>-0.039870</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.473748</td>\n",
              "      <td>0.577401</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Length</th>\n",
              "      <td>0.564704</td>\n",
              "      <td>0.552906</td>\n",
              "      <td>0.473748</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.813305</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Weight</th>\n",
              "      <td>0.642563</td>\n",
              "      <td>0.777764</td>\n",
              "      <td>0.577401</td>\n",
              "      <td>0.813305</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f27bf58e-d09c-447b-b135-45a558b04cae')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f27bf58e-d09c-447b-b135-45a558b04cae button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f27bf58e-d09c-447b-b135-45a558b04cae');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Make *heatmap*!\n",
        "- Make it the `4th` decimal place\n",
        "- Set the color to `bone_r`"
      ],
      "metadata": {
        "id": "9qGFQDPiZO6N"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ax = sns.heatmap(corr, annot=True, fmt=\".4f\", cmap=\"bone_r\")  #annot 지우면 숫자가 안보이고 cmap을 Reds로 바꾸니 빨간색"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 319
        },
        "id": "IJmv8HZtA9x2",
        "outputId": "52198793-f0a7-49d5-fa6f-a1e98bf89e1a"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Plot *pair plot*. The plot must satisify following conditions.\n",
        "\n",
        "- Create a pair plot using the `targetvar` value above \n",
        "- Put the corr value in the pair plot in `text format`!"
      ],
      "metadata": {
        "id": "54h6a-WeZvMG"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 889
        },
        "id": "lnhm-HQs2ASf",
        "outputId": "a12807db-6f85-4e99-ec55-aae7b98513a9"
      },
      "source": [
        "g = sns.pairplot(selectedDataFrame)\n",
        "\n",
        "corrValue = corr.to_numpy()\n",
        "for i, (ax, cv) in enumerate(zip(g.axes.flat, corrValue.flatten())):\n",
        "    ax.text(0.4, 0.8, f\"Corr: {cv:.4f}\", fontsize=9,\n",
        "            horizontalalignment=\"left\", verticalalignment=\"top\",\n",
        "            transform=ax.transAxes)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x900 with 30 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-rvzvY_z9Oau"
      },
      "source": [
        "# Plotly"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z_kiQ470FuB0"
      },
      "source": [
        "### Density contour plot\n",
        "Plot *density contour plot* and deploy the dashboard.\n",
        "* The *density contour plot* should show relationship between `Price` and user choosen variable among `MPG.city`, `MPG.highway`, `Rev.per.mile`.\n",
        "\n",
        "(please refer [official doc](https://plotly.com/python/2d-histogram-contour/) about *density contour plot*)\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6Cybz3WK9j1j",
        "outputId": "b1837166-1aa0-484a-a4c6-e3560e145e3c"
      },
      "source": [
        "# install packages\n",
        "!pip install dash\n",
        "!pip install jupyter_dash"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting dash\n",
            "  Downloading dash-2.6.2-py3-none-any.whl (9.8 MB)\n",
            "\u001b[K     |████████████████████████████████| 9.8 MB 2.5 MB/s \n",
            "\u001b[?25hCollecting dash-table==5.0.0\n",
            "  Downloading dash_table-5.0.0-py3-none-any.whl (3.9 kB)\n",
            "Requirement already satisfied: Flask>=1.0.4 in /usr/local/lib/python3.7/dist-packages (from dash) (1.1.4)\n",
            "Collecting dash-core-components==2.0.0\n",
            "  Downloading dash_core_components-2.0.0-py3-none-any.whl (3.8 kB)\n",
            "Collecting flask-compress\n",
            "  Downloading Flask_Compress-1.13-py3-none-any.whl (7.9 kB)\n",
            "Requirement already satisfied: plotly>=5.0.0 in /usr/local/lib/python3.7/dist-packages (from dash) (5.5.0)\n",
            "Collecting dash-html-components==2.0.0\n",
            "  Downloading dash_html_components-2.0.0-py3-none-any.whl (4.1 kB)\n",
            "Requirement already satisfied: Jinja2<3.0,>=2.10.1 in /usr/local/lib/python3.7/dist-packages (from Flask>=1.0.4->dash) (2.11.3)\n",
            "Requirement already satisfied: itsdangerous<2.0,>=0.24 in /usr/local/lib/python3.7/dist-packages (from Flask>=1.0.4->dash) (1.1.0)\n",
            "Requirement already satisfied: click<8.0,>=5.1 in /usr/local/lib/python3.7/dist-packages (from Flask>=1.0.4->dash) (7.1.2)\n",
            "Requirement already satisfied: Werkzeug<2.0,>=0.15 in /usr/local/lib/python3.7/dist-packages (from Flask>=1.0.4->dash) (1.0.1)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from Jinja2<3.0,>=2.10.1->Flask>=1.0.4->dash) (2.0.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from plotly>=5.0.0->dash) (1.15.0)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.7/dist-packages (from plotly>=5.0.0->dash) (8.0.1)\n",
            "Collecting brotli\n",
            "  Downloading Brotli-1.0.9-cp37-cp37m-manylinux1_x86_64.whl (357 kB)\n",
            "\u001b[K     |████████████████████████████████| 357 kB 63.2 MB/s \n",
            "\u001b[?25hInstalling collected packages: brotli, flask-compress, dash-table, dash-html-components, dash-core-components, dash\n",
            "Successfully installed brotli-1.0.9 dash-2.6.2 dash-core-components-2.0.0 dash-html-components-2.0.0 dash-table-5.0.0 flask-compress-1.13\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting jupyter_dash\n",
            "  Downloading jupyter_dash-0.4.2-py3-none-any.whl (23 kB)\n",
            "Collecting ansi2html\n",
            "  Downloading ansi2html-1.8.0-py3-none-any.whl (16 kB)\n",
            "Collecting nest-asyncio\n",
            "  Downloading nest_asyncio-1.5.6-py3-none-any.whl (5.2 kB)\n",
            "Requirement already satisfied: ipython in /usr/local/lib/python3.7/dist-packages (from jupyter_dash) (7.9.0)\n",
            "Requirement already satisfied: dash in /usr/local/lib/python3.7/dist-packages (from jupyter_dash) (2.6.2)\n",
            "Requirement already satisfied: flask in /usr/local/lib/python3.7/dist-packages (from jupyter_dash) (1.1.4)\n",
            "Requirement already satisfied: ipykernel in /usr/local/lib/python3.7/dist-packages (from jupyter_dash) (5.3.4)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from jupyter_dash) (2.23.0)\n",
            "Collecting retrying\n",
            "  Downloading retrying-1.3.3.tar.gz (10 kB)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from ansi2html->jupyter_dash) (4.12.0)\n",
            "Requirement already satisfied: dash-html-components==2.0.0 in /usr/local/lib/python3.7/dist-packages (from dash->jupyter_dash) (2.0.0)\n",
            "Requirement already satisfied: dash-table==5.0.0 in /usr/local/lib/python3.7/dist-packages (from dash->jupyter_dash) (5.0.0)\n",
            "Requirement already satisfied: plotly>=5.0.0 in /usr/local/lib/python3.7/dist-packages (from dash->jupyter_dash) (5.5.0)\n",
            "Requirement already satisfied: dash-core-components==2.0.0 in /usr/local/lib/python3.7/dist-packages (from dash->jupyter_dash) (2.0.0)\n",
            "Requirement already satisfied: flask-compress in /usr/local/lib/python3.7/dist-packages (from dash->jupyter_dash) (1.13)\n",
            "Requirement already satisfied: Jinja2<3.0,>=2.10.1 in /usr/local/lib/python3.7/dist-packages (from flask->jupyter_dash) (2.11.3)\n",
            "Requirement already satisfied: click<8.0,>=5.1 in /usr/local/lib/python3.7/dist-packages (from flask->jupyter_dash) (7.1.2)\n",
            "Requirement already satisfied: Werkzeug<2.0,>=0.15 in /usr/local/lib/python3.7/dist-packages (from flask->jupyter_dash) (1.0.1)\n",
            "Requirement already satisfied: itsdangerous<2.0,>=0.24 in /usr/local/lib/python3.7/dist-packages (from flask->jupyter_dash) (1.1.0)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from Jinja2<3.0,>=2.10.1->flask->jupyter_dash) (2.0.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from plotly>=5.0.0->dash->jupyter_dash) (1.15.0)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.7/dist-packages (from plotly>=5.0.0->dash->jupyter_dash) (8.0.1)\n",
            "Requirement already satisfied: brotli in /usr/local/lib/python3.7/dist-packages (from flask-compress->dash->jupyter_dash) (1.0.9)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->ansi2html->jupyter_dash) (3.8.1)\n",
            "Requirement already satisfied: typing-extensions>=3.6.4 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->ansi2html->jupyter_dash) (4.1.1)\n",
            "Requirement already satisfied: tornado>=4.2 in /usr/local/lib/python3.7/dist-packages (from ipykernel->jupyter_dash) (5.1.1)\n",
            "Requirement already satisfied: traitlets>=4.1.0 in /usr/local/lib/python3.7/dist-packages (from ipykernel->jupyter_dash) (5.1.1)\n",
            "Requirement already satisfied: jupyter-client in /usr/local/lib/python3.7/dist-packages (from ipykernel->jupyter_dash) (6.1.12)\n",
            "Requirement already satisfied: backcall in /usr/local/lib/python3.7/dist-packages (from ipython->jupyter_dash) (0.2.0)\n",
            "Requirement already satisfied: pexpect in /usr/local/lib/python3.7/dist-packages (from ipython->jupyter_dash) (4.8.0)\n",
            "Requirement already satisfied: pickleshare in /usr/local/lib/python3.7/dist-packages (from ipython->jupyter_dash) (0.7.5)\n",
            "Collecting jedi>=0.10\n",
            "  Downloading jedi-0.18.1-py2.py3-none-any.whl (1.6 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.6 MB 11.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.7/dist-packages (from ipython->jupyter_dash) (57.4.0)\n",
            "Requirement already satisfied: prompt-toolkit<2.1.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from ipython->jupyter_dash) (2.0.10)\n",
            "Requirement already satisfied: pygments in /usr/local/lib/python3.7/dist-packages (from ipython->jupyter_dash) (2.6.1)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.7/dist-packages (from ipython->jupyter_dash) (4.4.2)\n",
            "Requirement already satisfied: parso<0.9.0,>=0.8.0 in /usr/local/lib/python3.7/dist-packages (from jedi>=0.10->ipython->jupyter_dash) (0.8.3)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.7/dist-packages (from prompt-toolkit<2.1.0,>=2.0.0->ipython->jupyter_dash) (0.2.5)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from jupyter-client->ipykernel->jupyter_dash) (2.8.2)\n",
            "Requirement already satisfied: jupyter-core>=4.6.0 in /usr/local/lib/python3.7/dist-packages (from jupyter-client->ipykernel->jupyter_dash) (4.11.1)\n",
            "Requirement already satisfied: pyzmq>=13 in /usr/local/lib/python3.7/dist-packages (from jupyter-client->ipykernel->jupyter_dash) (23.2.1)\n",
            "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.7/dist-packages (from pexpect->ipython->jupyter_dash) (0.7.0)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->jupyter_dash) (2.10)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->jupyter_dash) (2022.6.15)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->jupyter_dash) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->jupyter_dash) (1.24.3)\n",
            "Building wheels for collected packages: retrying\n",
            "  Building wheel for retrying (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for retrying: filename=retrying-1.3.3-py3-none-any.whl size=11447 sha256=0613c60fd00c4667ab42e31b1469d48b1f66897e91e59a0debecc42d14e5d3bf\n",
            "  Stored in directory: /root/.cache/pip/wheels/f9/8d/8d/f6af3f7f9eea3553bc2fe6d53e4b287dad18b06a861ac56ddf\n",
            "Successfully built retrying\n",
            "Installing collected packages: jedi, retrying, nest-asyncio, ansi2html, jupyter-dash\n",
            "Successfully installed ansi2html-1.8.0 jedi-0.18.1 jupyter-dash-0.4.2 nest-asyncio-1.5.6 retrying-1.3.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "id": "irw4GHlk9Pg1",
        "outputId": "1c7c594a-d43c-422a-8ba0-9c21fce65423"
      },
      "source": [
        "import dash\n",
        "from dash import html\n",
        "import plotly.graph_objects as go\n",
        "from dash import dcc\n",
        "import plotly.express as px\n",
        "from dash.dependencies import Input, Output\n",
        "\n",
        "from jupyter_dash import JupyterDash\n",
        "\n",
        "# Load Dash App\n",
        "app = JupyterDash()\n",
        "\n",
        "# Define App\n",
        "app.layout = html.Div(id = 'parent',\n",
        "                      children = [html.H1(id = 'H1', children = 'Cas93 Dashboard',\n",
        "                                          style = {'textAlign':'center',\\\n",
        "                                                   'marginTop':40,\n",
        "                                                   'marginBottom':40}),\n",
        "                                  dcc.Dropdown(id = 'dropdown',\n",
        "                                               options=[{'label' : 'city', 'value' : 'MPG.city'}, \n",
        "                                                        {'label' : 'highway', 'value' : 'MPG.highway'},\n",
        "                                                        {'label' : 'per.mile', 'value' : 'Rev.per.mile'},],\n",
        "                                               value = 'MPG.city'),\n",
        "                                  dcc.Graph(id = 'plot')\n",
        "                                  ])\n",
        "\n",
        "# Define callback decorator and it's function    \n",
        "@app.callback(Output(component_id='plot', component_property= 'figure'),\n",
        "              [Input(component_id='dropdown', component_property= 'value')])\n",
        "def graph_update(dropdown_value):\n",
        "    print(dropdown_value)\n",
        "    fig = px.density_contour(df, x= \"Price\", y = dropdown_value,\n",
        "                             marginal_x = \"histogram\",\n",
        "                             marginal_y=\"histogram\")\n",
        "\n",
        "    return fig  \n",
        "\n",
        "if __name__ == '__main__': \n",
        "    app.run_server(host='localhost', port=1050)"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dash app running on:\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "(async (port, path, text, element) => {\n",
              "    if (!google.colab.kernel.accessAllowed) {\n",
              "      return;\n",
              "    }\n",
              "    element.appendChild(document.createTextNode(''));\n",
              "    const url = await google.colab.kernel.proxyPort(port);\n",
              "    const anchor = document.createElement('a');\n",
              "    anchor.href = new URL(path, url).toString();\n",
              "    anchor.target = '_blank';\n",
              "    anchor.setAttribute('data-href', url + path);\n",
              "    anchor.textContent = text;\n",
              "    element.appendChild(anchor);\n",
              "  })(1050, \"/\", \"http://localhost:1050/\", window.element)"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#TODO\n",
        "이번에 할 데이터는 `NBA선수 데이터`와 `로또 데이터` 입니다! \n",
        "\n",
        "출발~~~!!!"
      ],
      "metadata": {
        "id": "EkDsqBuAvxRN"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## NBA data\n",
        "아래에 보이는 데이터는 NBA선수 데이터 입니다!\n",
        "\n",
        "선수들의 소속팀, 이름, 키, 몸무게, 시즌, 출신대학교 등등이있습니다."
      ],
      "metadata": {
        "id": "5R2IFkpJc0uG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_players = pd.read_csv('https://raw.githubusercontent.com/wonseok-hong/DAP_TA/main/all_seasons.csv')\n",
        "df_players"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 696
        },
        "id": "0f12xkLvmic0",
        "outputId": "45007a43-a74e-49bc-ff26-ffb899963aad"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Unnamed: 0        player_name team_abbreviation   age  player_height  \\\n",
              "0               0      Dennis Rodman               CHI  36.0         198.12   \n",
              "1               1  Dwayne Schintzius               LAC  28.0         215.90   \n",
              "2               2       Earl Cureton               TOR  39.0         205.74   \n",
              "3               3        Ed O'Bannon               DAL  24.0         203.20   \n",
              "4               4        Ed Pinckney               MIA  34.0         205.74   \n",
              "...           ...                ...               ...   ...            ...   \n",
              "12300       12300    Markieff Morris               MIA  32.0         205.74   \n",
              "12301       12301     Markelle Fultz               ORL  24.0         193.04   \n",
              "12302       12302       Marcus Smart               BOS  28.0         193.04   \n",
              "12303       12303     Marcus Garrett               MIA  23.0         195.58   \n",
              "12304       12304       Micah Potter               DET  24.0         208.28   \n",
              "\n",
              "       player_weight                      college country draft_year  \\\n",
              "0          99.790240  Southeastern Oklahoma State     USA       1986   \n",
              "1         117.933920                      Florida     USA       1990   \n",
              "2          95.254320                Detroit Mercy     USA       1979   \n",
              "3         100.697424                         UCLA     USA       1995   \n",
              "4         108.862080                    Villanova     USA       1985   \n",
              "...              ...                          ...     ...        ...   \n",
              "12300     111.130040                       Kansas     USA       2011   \n",
              "12301      94.800728                   Washington     USA       2017   \n",
              "12302      99.790240               Oklahoma State     USA       2014   \n",
              "12303      92.986360                       Kansas     USA  Undrafted   \n",
              "12304     112.490816                    Wisconsin     USA  Undrafted   \n",
              "\n",
              "      draft_round  ...   pts   reb  ast  net_rating  oreb_pct  dreb_pct  \\\n",
              "0               2  ...   5.7  16.1  3.1        16.1     0.186     0.323   \n",
              "1               1  ...   2.3   1.5  0.3        12.3     0.078     0.151   \n",
              "2               3  ...   0.8   1.0  0.4        -2.1     0.105     0.102   \n",
              "3               1  ...   3.7   2.3  0.6        -8.7     0.060     0.149   \n",
              "4               1  ...   2.4   2.4  0.2       -11.2     0.109     0.179   \n",
              "...           ...  ...   ...   ...  ...         ...       ...       ...   \n",
              "12300           1  ...   7.6   2.6  1.4         4.5     0.059     0.089   \n",
              "12301           1  ...  10.8   2.7  5.5        -5.3     0.010     0.116   \n",
              "12302           1  ...  12.1   3.8  5.9         9.3     0.018     0.093   \n",
              "12303   Undrafted  ...   1.1   1.9  0.6         5.8     0.072     0.108   \n",
              "12304   Undrafted  ...   4.0   3.0  0.0       -56.4     0.095     0.125   \n",
              "\n",
              "       usg_pct  ts_pct  ast_pct   season  \n",
              "0        0.100   0.479    0.113  1996-97  \n",
              "1        0.175   0.430    0.048  1996-97  \n",
              "2        0.103   0.376    0.148  1996-97  \n",
              "3        0.167   0.399    0.077  1996-97  \n",
              "4        0.127   0.611    0.040  1996-97  \n",
              "...        ...     ...      ...      ...  \n",
              "12300    0.197   0.547    0.116  2021-22  \n",
              "12301    0.265   0.517    0.448  2021-22  \n",
              "12302    0.179   0.540    0.245  2021-22  \n",
              "12303    0.086   0.280    0.069  2021-22  \n",
              "12304    0.148   0.505    0.000  2021-22  \n",
              "\n",
              "[12305 rows x 22 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5cdd52aa-2e4c-4044-b17e-9c500bacc227\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>player_name</th>\n",
              "      <th>team_abbreviation</th>\n",
              "      <th>age</th>\n",
              "      <th>player_height</th>\n",
              "      <th>player_weight</th>\n",
              "      <th>college</th>\n",
              "      <th>country</th>\n",
              "      <th>draft_year</th>\n",
              "      <th>draft_round</th>\n",
              "      <th>...</th>\n",
              "      <th>pts</th>\n",
              "      <th>reb</th>\n",
              "      <th>ast</th>\n",
              "      <th>net_rating</th>\n",
              "      <th>oreb_pct</th>\n",
              "      <th>dreb_pct</th>\n",
              "      <th>usg_pct</th>\n",
              "      <th>ts_pct</th>\n",
              "      <th>ast_pct</th>\n",
              "      <th>season</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>Dennis Rodman</td>\n",
              "      <td>CHI</td>\n",
              "      <td>36.0</td>\n",
              "      <td>198.12</td>\n",
              "      <td>99.790240</td>\n",
              "      <td>Southeastern Oklahoma State</td>\n",
              "      <td>USA</td>\n",
              "      <td>1986</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>5.7</td>\n",
              "      <td>16.1</td>\n",
              "      <td>3.1</td>\n",
              "      <td>16.1</td>\n",
              "      <td>0.186</td>\n",
              "      <td>0.323</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.479</td>\n",
              "      <td>0.113</td>\n",
              "      <td>1996-97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>Dwayne Schintzius</td>\n",
              "      <td>LAC</td>\n",
              "      <td>28.0</td>\n",
              "      <td>215.90</td>\n",
              "      <td>117.933920</td>\n",
              "      <td>Florida</td>\n",
              "      <td>USA</td>\n",
              "      <td>1990</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>2.3</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.3</td>\n",
              "      <td>12.3</td>\n",
              "      <td>0.078</td>\n",
              "      <td>0.151</td>\n",
              "      <td>0.175</td>\n",
              "      <td>0.430</td>\n",
              "      <td>0.048</td>\n",
              "      <td>1996-97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>Earl Cureton</td>\n",
              "      <td>TOR</td>\n",
              "      <td>39.0</td>\n",
              "      <td>205.74</td>\n",
              "      <td>95.254320</td>\n",
              "      <td>Detroit Mercy</td>\n",
              "      <td>USA</td>\n",
              "      <td>1979</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>0.8</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.4</td>\n",
              "      <td>-2.1</td>\n",
              "      <td>0.105</td>\n",
              "      <td>0.102</td>\n",
              "      <td>0.103</td>\n",
              "      <td>0.376</td>\n",
              "      <td>0.148</td>\n",
              "      <td>1996-97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>Ed O'Bannon</td>\n",
              "      <td>DAL</td>\n",
              "      <td>24.0</td>\n",
              "      <td>203.20</td>\n",
              "      <td>100.697424</td>\n",
              "      <td>UCLA</td>\n",
              "      <td>USA</td>\n",
              "      <td>1995</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>3.7</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0.6</td>\n",
              "      <td>-8.7</td>\n",
              "      <td>0.060</td>\n",
              "      <td>0.149</td>\n",
              "      <td>0.167</td>\n",
              "      <td>0.399</td>\n",
              "      <td>0.077</td>\n",
              "      <td>1996-97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>Ed Pinckney</td>\n",
              "      <td>MIA</td>\n",
              "      <td>34.0</td>\n",
              "      <td>205.74</td>\n",
              "      <td>108.862080</td>\n",
              "      <td>Villanova</td>\n",
              "      <td>USA</td>\n",
              "      <td>1985</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>2.4</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>-11.2</td>\n",
              "      <td>0.109</td>\n",
              "      <td>0.179</td>\n",
              "      <td>0.127</td>\n",
              "      <td>0.611</td>\n",
              "      <td>0.040</td>\n",
              "      <td>1996-97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12300</th>\n",
              "      <td>12300</td>\n",
              "      <td>Markieff Morris</td>\n",
              "      <td>MIA</td>\n",
              "      <td>32.0</td>\n",
              "      <td>205.74</td>\n",
              "      <td>111.130040</td>\n",
              "      <td>Kansas</td>\n",
              "      <td>USA</td>\n",
              "      <td>2011</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>7.6</td>\n",
              "      <td>2.6</td>\n",
              "      <td>1.4</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.059</td>\n",
              "      <td>0.089</td>\n",
              "      <td>0.197</td>\n",
              "      <td>0.547</td>\n",
              "      <td>0.116</td>\n",
              "      <td>2021-22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12301</th>\n",
              "      <td>12301</td>\n",
              "      <td>Markelle Fultz</td>\n",
              "      <td>ORL</td>\n",
              "      <td>24.0</td>\n",
              "      <td>193.04</td>\n",
              "      <td>94.800728</td>\n",
              "      <td>Washington</td>\n",
              "      <td>USA</td>\n",
              "      <td>2017</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>10.8</td>\n",
              "      <td>2.7</td>\n",
              "      <td>5.5</td>\n",
              "      <td>-5.3</td>\n",
              "      <td>0.010</td>\n",
              "      <td>0.116</td>\n",
              "      <td>0.265</td>\n",
              "      <td>0.517</td>\n",
              "      <td>0.448</td>\n",
              "      <td>2021-22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12302</th>\n",
              "      <td>12302</td>\n",
              "      <td>Marcus Smart</td>\n",
              "      <td>BOS</td>\n",
              "      <td>28.0</td>\n",
              "      <td>193.04</td>\n",
              "      <td>99.790240</td>\n",
              "      <td>Oklahoma State</td>\n",
              "      <td>USA</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>12.1</td>\n",
              "      <td>3.8</td>\n",
              "      <td>5.9</td>\n",
              "      <td>9.3</td>\n",
              "      <td>0.018</td>\n",
              "      <td>0.093</td>\n",
              "      <td>0.179</td>\n",
              "      <td>0.540</td>\n",
              "      <td>0.245</td>\n",
              "      <td>2021-22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12303</th>\n",
              "      <td>12303</td>\n",
              "      <td>Marcus Garrett</td>\n",
              "      <td>MIA</td>\n",
              "      <td>23.0</td>\n",
              "      <td>195.58</td>\n",
              "      <td>92.986360</td>\n",
              "      <td>Kansas</td>\n",
              "      <td>USA</td>\n",
              "      <td>Undrafted</td>\n",
              "      <td>Undrafted</td>\n",
              "      <td>...</td>\n",
              "      <td>1.1</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.6</td>\n",
              "      <td>5.8</td>\n",
              "      <td>0.072</td>\n",
              "      <td>0.108</td>\n",
              "      <td>0.086</td>\n",
              "      <td>0.280</td>\n",
              "      <td>0.069</td>\n",
              "      <td>2021-22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12304</th>\n",
              "      <td>12304</td>\n",
              "      <td>Micah Potter</td>\n",
              "      <td>DET</td>\n",
              "      <td>24.0</td>\n",
              "      <td>208.28</td>\n",
              "      <td>112.490816</td>\n",
              "      <td>Wisconsin</td>\n",
              "      <td>USA</td>\n",
              "      <td>Undrafted</td>\n",
              "      <td>Undrafted</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-56.4</td>\n",
              "      <td>0.095</td>\n",
              "      <td>0.125</td>\n",
              "      <td>0.148</td>\n",
              "      <td>0.505</td>\n",
              "      <td>0.000</td>\n",
              "      <td>2021-22</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>12305 rows × 22 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5cdd52aa-2e4c-4044-b17e-9c500bacc227')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-5cdd52aa-2e4c-4044-b17e-9c500bacc227 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-5cdd52aa-2e4c-4044-b17e-9c500bacc227');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 1. scatter plot을 이용하여 선수들의 키와 몸무게 비교\n",
        "\n",
        "색깔은 `#e377c2`색을 넣어주시면 됩니다. 마커는 `x`표시로 해주세요! 마커 투명도는 0.5로 주시면됩니다!\n",
        "\n",
        "레이블과 타이틀또한 정답과 동일하게 해주세요!"
      ],
      "metadata": {
        "id": "7Dm00v44USGP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x = [df_players['player_height']]\n",
        "y = [df_players['player_weight']]\n",
        "\n",
        "########### Make Code ###########\n",
        "plt.scatter(x, y, c ='#e377c2', marker='x', alpha=0.5)\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "7f97R5AQzKN1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "outputId": "bfe30d49-19de-40b2-8b65-38236c6c803c"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 2. plotly사용해보기!\n",
        "\n",
        "plotly를 이용하여 선수들의 키와 몸무게(`player_height`와 `player_weight`)를 비교하고 마우스로 댔을때 player_name나오게 해주세요.  \n",
        "\n",
        "또한 `pts`별 색깔도 적용해주세요!"
      ],
      "metadata": {
        "id": "xMPnlGfTUjRg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig = px.scatter(df_players, x='player_height', y='player_weight', color='pts')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "wbhyAy_Iz_IO",
        "outputId": "c9ac0641-f33f-42f1-e040-255ea45f5dd9"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.8.3.min.js\"></script>                <div id=\"788db4bc-36f9-4e1a-8cc5-e798fcd0a537\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"788db4bc-36f9-4e1a-8cc5-e798fcd0a537\")) {                    Plotly.newPlot(                        \"788db4bc-36f9-4e1a-8cc5-e798fcd0a537\",                        [{\"hovertemplate\":\"player_height=%{x}<br>player_weight=%{y}<br>pts=%{marker.color}<extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"color\":[5.7,2.3,0.8,3.7,2.4,8.2,17.2,14.9,5.7,6.9,2.4,0.0,5.0,1.3,1.7,2.6,4.4,3.8,6.0,3.0,15.0,5.1,10.6,7.1,6.4,2.6,7.8,3.6,1.0,12.5,3.9,10.0,8.5,0.0,18.1,8.0,16.8,3.0,2.4,2.6,1.9,14.0,18.2,10.9,2.8,3.5,2.2,2.5,3.1,4.5,7.3,14.5,13.3,14.8,5.1,2.9,1.7,8.0,4.5,5.0,9.7,16.1,1.4,2.0,7.3,11.9,8.3,0.1,3.7,3.4,5.0,7.3,10.9,2.4,13.4,3.6,14.5,5.0,4.1,12.6,13.9,1.9,6.7,1.8,3.9,21.8,10.8,3.8,8.3,10.2,2.8,10.6,10.6,26.8,4.8,21.1,5.0,3.9,9.5,2.0,3.5,3.3,9.6,7.3,23.2,4.1,5.5,21.4,7.6,8.0,1.2,1.3,10.5,7.9,1.5,1.1,3.3,4.6,11.0,6.1,7.0,7.8,7.6,9.2,2.9,12.6,1.7,7.5,5.0,1.2,2.2,1.4,10.5,7.2,13.4,8.6,18.3,2.7,7.2,5.2,6.2,4.0,3.8,2.2,6.6,3.1,14.8,23.5,19.8,6.6,1.6,5.3,5.3,20.5,6.5,16.2,0.0,14.5,7.4,17.5,10.5,2.5,1.6,0.0,16.2,14.9,15.1,4.5,18.0,4.2,11.6,7.2,3.5,0.0,10.4,16.6,20.2,12.2,10.8,12.5,10.6,13.5,6.1,10.9,1.8,2.3,17.7,2.3,16.8,3.6,3.0,3.0,2.9,5.2,10.8,6.3,6.7,10.6,8.0,1.1,9.8,14.6,19.2,0.3,10.8,18.1,4.6,3.3,6.1,9.3,3.9,19.0,2.0,13.4,4.3,14.5,4.6,20.1,5.2,6.8,4.8,20.7,3.3,15.9,5.6,9.3,11.0,4.9,6.8,12.5,1.5,5.2,5.8,4.0,20.2,3.8,3.3,5.9,1.7,26.2,18.7,6.5,13.2,18.7,1.5,1.3,14.9,9.7,6.6,6.3,1.7,4.7,3.9,15.1,13.4,3.1,1.5,2.1,21.6,7.8,5.8,17.3,13.8,2.9,15.4,2.5,11.0,17.1,7.8,14.3,3.7,1.5,17.2,13.2,6.8,3.1,4.7,9.5,3.7,10.0,9.9,4.8,9.5,12.9,6.9,12.9,21.0,5.6,12.3,5.0,5.8,12.3,16.4,1.8,6.5,13.5,8.7,3.0,6.2,5.6,1.4,6.5,12.6,2.2,7.2,5.4,3.6,15.8,2.2,8.1,3.3,1.6,20.1,1.8,3.4,19.5,8.2,3.6,6.4,6.9,5.8,20.3,0.4,2.9,14.5,4.0,1.6,20.6,6.2,13.2,10.8,3.2,4.2,5.6,4.0,5.9,5.0,17.0,20.1,1.6,11.2,8.2,7.6,6.3,21.9,0.4,7.4,12.8,1.0,4.3,24.2,6.7,5.1,14.2,3.4,2.0,4.5,16.4,6.3,17.5,21.8,15.9,7.8,1.3,3.0,2.8,2.8,14.7,2.8,18.7,1.5,1.7,4.9,4.8,13.8,14.4,4.8,8.7,4.9,1.8,19.1,27.4,4.9,1.4,3.8,4.0,7.3,3.8,2.4,3.9,15.0,2.8,29.6,6.5,2.7,25.9,3.0,9.0,1.5,17.4,1.8,8.0,4.6,12.0,15.3,12.5,4.8,4.8,13.1,9.5,22.4,2.5,2.4,2.4,5.8,3.4,9.4,1.5,14.9,9.1,5.4,13.7,3.0,13.5,14.8,11.7,1.6,9.3,3.9,2.9,9.9,11.3,2.0,8.9,3.2,1.6,3.7,7.8,4.5,0.3,8.5,2.8,5.7,4.9,7.0,6.6,8.6,11.5,1.3,1.5,11.3,6.8,7.3,1.4,8.3,3.4,4.0,4.2,8.4,3.9,12.1,7.7,3.0,0.8,9.5,21.5,13.8,0.0,3.8,4.1,3.7,8.6,4.2,1.6,4.9,3.0,20.8,9.6,10.2,28.7,6.0,7.9,15.3,3.4,5.7,13.2,6.3,2.1,23.2,2.6,4.6,5.2,6.3,11.4,17.2,1.9,1.7,2.4,2.7,27.0,18.5,2.7,2.5,3.2,14.7,14.0,2.8,12.0,12.9,3.7,1.5,3.9,14.6,2.0,13.1,5.0,3.2,15.7,14.6,4.0,19.7,3.8,13.4,9.0,5.7,1.2,12.1,4.6,5.2,1.1,9.5,21.4,2.8,15.5,7.5,15.4,7.4,15.4,2.4,8.7,16.1,0.3,3.5,9.5,18.5,3.8,12.2,14.3,19.5,4.6,0.8,2.7,6.5,2.5,2.0,10.1,8.4,13.3,6.1,20.1,6.0,4.0,6.0,11.0,1.1,0.5,18.9,21.1,1.7,9.9,9.5,4.2,6.4,4.4,7.0,15.1,6.5,6.5,15.8,4.1,13.9,5.4,1.2,1.3,2.1,1.1,5.0,14.7,9.6,6.2,10.3,10.4,7.1,9.5,2.2,19.2,6.9,5.3,10.0,10.2,1.5,3.5,12.6,16.8,6.4,3.0,7.2,12.3,10.8,19.6,3.5,1.3,13.3,15.3,9.3,5.8,15.1,8.9,17.8,7.4,16.7,3.9,2.4,12.0,4.3,2.1,15.9,8.0,19.5,2.6,7.8,2.5,2.7,5.2,20.1,9.1,7.5,1.6,17.7,1.9,6.2,5.7,3.0,8.0,1.0,1.8,1.1,18.0,11.4,2.3,22.3,28.3,8.3,3.4,0.0,9.3,19.2,4.1,5.9,5.3,6.3,4.5,7.2,17.2,11.8,8.0,8.1,17.7,3.6,3.2,18.4,1.0,14.2,9.3,5.0,6.7,13.8,5.1,21.9,7.8,11.2,7.1,5.9,9.9,6.3,5.5,3.8,1.4,11.5,9.7,4.3,11.3,4.6,3.1,9.8,4.2,10.2,8.6,12.7,17.6,6.3,15.7,3.3,1.6,13.4,3.5,2.5,0.7,2.9,0.3,15.4,0.3,3.5,5.8,11.0,13.5,9.2,10.3,2.0,5.5,21.6,11.7,4.1,2.6,1.7,7.3,9.1,9.4,4.7,13.0,16.5,9.0,0.6,3.1,0.6,4.0,10.2,2.9,16.0,11.2,15.1,2.0,9.6,7.8,22.4,5.7,12.3,1.9,2.1,12.8,3.0,0.0,14.3,18.4,22.0,19.3,4.5,0.9,5.4,2.7,16.4,2.8,9.2,7.5,6.0,3.1,3.5,10.5,2.0,5.6,16.3,7.6,9.0,3.3,6.3,4.9,2.9,3.4,5.3,11.4,10.1,15.2,12.8,2.1,3.0,4.5,8.0,16.2,10.8,9.5,0.0,5.8,12.1,4.1,10.4,2.1,4.1,10.9,5.6,9.0,11.6,7.3,7.8,3.3,7.6,8.0,0.0,2.4,4.0,4.8,19.2,11.7,7.2,2.4,1.9,5.3,22.3,23.4,3.1,11.8,19.8,7.7,3.6,2.7,4.1,2.1,2.4,1.9,7.6,0.8,21.1,8.4,10.1,9.3,7.3,4.1,2.9,6.2,11.3,16.8,3.5,7.5,5.2,3.1,9.4,15.1,2.6,2.7,7.7,1.8,1.4,8.8,11.6,1.5,12.9,2.0,14.2,1.4,6.4,7.3,4.9,2.3,19.7,2.1,5.7,2.7,5.0,4.7,16.4,2.6,2.9,6.1,13.5,10.5,12.1,3.0,3.6,7.7,11.1,1.4,4.1,0.0,11.5,7.3,9.6,11.1,2.3,2.1,1.3,12.5,7.0,3.5,12.4,7.7,2.3,2.5,0.2,0.7,9.1,10.8,6.3,2.7,14.3,16.1,21.2,8.3,12.1,3.4,9.7,3.3,2.1,6.0,0.7,2.2,3.8,7.8,9.5,10.5,3.2,6.5,4.3,7.1,4.4,3.1,7.0,3.7,3.9,2.9,13.2,7.3,4.1,9.9,8.0,10.3,1.9,5.2,7.0,1.5,9.3,1.3,11.0,9.1,13.8,8.0,12.6,16.4,8.1,8.5,3.3,3.7,7.6,13.9,5.5,3.3,5.3,6.8,6.9,2.5,5.7,0.5,10.3,4.2,10.1,20.0,4.8,7.6,6.1,7.0,9.4,7.9,18.7,4.2,7.1,6.5,9.3,11.2,6.8,6.7,18.8,1.9,4.3,3.4,2.9,7.2,4.0,17.4,21.7,4.2,11.2,17.0,0.0,6.8,7.5,15.2,1.3,0.4,2.4,11.2,5.7,9.3,6.8,5.5,14.3,10.0,5.9,18.3,13.8,10.7,4.0,5.0,10.1,8.6,10.5,9.0,3.2,3.4,2.1,12.5,16.3,26.8,20.1,2.8,5.0,3.3,7.9,1.1,3.8,15.8,9.6,1.8,5.0,2.4,1.0,9.6,2.6,1.5,4.7,2.9,4.0,9.1,13.9,9.3,1.0,18.7,15.8,4.4,1.0,21.3,2.3,4.3,8.2,3.1,20.5,8.6,23.0,26.3,4.9,4.8,4.0,3.4,14.1,0.7,5.5,7.6,1.3,0.5,3.7,1.2,1.5,2.1,1.1,2.9,13.5,8.2,1.4,2.3,16.8,10.9,6.2,20.2,1.5,8.9,4.8,1.5,1.0,13.2,2.0,0.4,19.7,5.4,4.9,1.0,9.0,9.7,3.3,12.9,20.8,1.6,12.0,2.3,19.9,4.3,6.2,8.1,10.2,12.2,9.1,0.0,12.0,8.9,2.2,11.9,0.0,1.1,6.6,3.4,8.7,5.4,6.0,8.1,7.2,2.3,16.4,3.2,13.3,5.1,0.8,4.5,14.9,4.9,8.9,5.3,15.7,7.4,3.3,11.2,17.0,1.7,4.8,9.0,2.7,2.6,15.9,4.0,10.7,11.2,5.0,5.9,5.1,6.6,2.0,14.5,11.2,1.4,4.7,1.0,3.1,12.1,1.6,1.3,14.9,16.5,7.7,2.5,9.8,11.3,11.4,5.6,17.3,0.7,16.5,8.4,3.6,1.0,2.5,3.0,13.8,4.2,8.8,12.0,2.4,12.8,4.0,17.1,1.9,18.4,3.8,12.1,11.7,3.5,2.0,2.8,2.1,7.9,10.5,2.2,8.6,5.4,7.3,8.8,7.5,5.1,0.0,9.3,5.0,1.6,0.0,21.7,16.0,8.3,8.9,2.4,0.7,1.2,0.0,17.5,18.4,21.1,9.8,1.6,12.6,15.6,4.0,4.5,5.5,11.2,10.1,2.1,6.5,10.8,5.9,6.9,5.1,13.1,4.6,15.0,9.1,10.8,8.2,5.0,10.9,5.1,11.0,15.2,3.8,5.8,2.2,2.3,0.6,0.7,3.0,4.9,6.4,1.5,2.8,5.7,1.5,3.2,7.1,14.5,8.4,2.2,1.5,11.3,2.2,13.7,0.0,2.2,5.9,2.5,13.8,4.3,8.6,6.1,5.8,5.0,0.0,5.5,19.0,23.8,1.6,3.1,2.1,21.8,11.1,1.9,5.1,2.4,18.9,3.1,6.9,1.7,8.5,8.9,1.2,7.4,9.1,9.7,13.9,3.2,9.0,2.3,2.5,11.1,14.8,2.5,5.9,6.3,0.7,6.4,8.8,16.9,1.8,12.8,8.1,12.2,3.7,4.9,10.3,1.0,2.3,3.2,4.0,2.6,2.6,5.3,20.1,7.0,12.7,1.0,5.3,20.1,4.0,0.8,5.6,8.7,7.9,7.2,8.0,12.8,4.8,2.2,2.9,4.5,12.4,1.9,14.2,3.8,0.3,1.2,2.0,7.6,6.9,7.6,2.8,5.6,16.9,6.3,0.0,2.7,16.7,5.0,4.3,7.5,3.2,2.3,4.2,11.5,6.5,17.5,2.6,1.8,9.0,1.6,4.0,17.5,8.2,5.7,6.3,12.0,14.3,0.0,8.1,12.3,2.3,12.4,7.2,4.3,1.0,3.9,4.5,8.4,23.6,16.7,2.4,1.6,9.9,3.2,18.2,7.1,3.7,4.4,24.2,13.7,9.6,10.1,5.3,3.5,15.9,20.9,25.8,4.8,6.3,13.6,5.7,4.5,10.3,1.5,2.4,7.9,8.1,8.6,7.4,6.7,0.5,19.3,3.4,17.8,5.1,5.7,0.6,19.1,6.7,11.8,10.3,11.2,7.4,5.9,0.8,4.8,0.7,2.7,2.0,6.0,8.1,6.0,13.8,5.1,13.6,8.8,7.7,11.8,3.4,2.2,11.5,6.2,20.5,2.2,5.5,6.7,6.6,13.2,2.3,19.7,28.4,21.7,5.3,1.2,9.3,11.1,3.1,16.9,19.6,1.7,6.3,2.8,11.6,3.7,3.6,9.8,3.2,6.6,10.5,7.3,5.4,7.8,12.2,2.8,9.5,5.3,7.2,18.5,7.7,8.4,2.8,10.3,2.8,15.8,10.0,4.2,4.2,12.5,7.3,7.2,7.3,7.6,4.6,16.2,24.5,5.1,16.1,3.1,2.8,1.9,8.9,5.6,5.8,14.1,2.7,4.0,3.8,8.0,16.6,4.1,5.4,6.9,3.4,7.3,8.6,3.0,6.0,9.3,5.3,4.6,1.2,11.9,14.5,5.0,4.7,22.1,5.0,6.5,6.6,5.1,5.4,6.1,2.6,7.6,12.5,6.0,1.6,4.4,5.2,12.3,29.7,20.3,8.4,17.8,10.2,6.0,3.4,2.0,22.2,4.9,18.0,18.6,5.0,18.1,6.6,2.8,9.0,1.9,6.5,3.9,4.7,12.9,5.7,8.9,3.6,12.6,4.3,13.8,0.0,7.0,16.9,7.2,2.2,11.6,9.3,2.5,2.1,2.8,8.6,14.9,1.7,8.8,4.1,12.0,13.3,6.0,10.9,16.6,25.7,5.2,9.2,12.3,7.6,8.0,2.5,9.4,11.9,11.6,10.9,3.8,1.3,9.2,2.5,8.9,4.9,10.1,15.4,11.4,17.1,8.4,6.7,9.4,11.9,3.7,23.2,13.4,2.8,3.3,1.1,11.8,3.5,6.8,3.3,3.7,13.7,2.1,14.8,6.6,6.4,6.3,4.6,2.2,1.6,5.7,16.4,8.0,8.4,16.6,15.9,1.5,1.5,15.0,10.7,18.6,6.4,3.6,12.7,6.0,1.8,1.7,6.3,6.7,6.7,11.3,1.7,10.2,0.0,7.5,5.6,22.5,1.3,3.7,13.9,12.1,2.1,6.5,10.0,1.8,8.0,2.7,2.2,1.7,14.9,5.7,25.5,19.2,8.7,13.1,14.0,8.3,8.6,13.0,22.9,6.7,1.8,7.6,4.2,2.6,6.2,8.1,1.9,10.8,16.1,3.2,5.3,6.3,13.1,5.5,9.6,8.2,15.0,19.5,11.9,1.8,2.1,2.6,3.8,12.4,2.2,0.0,6.4,4.8,8.2,5.1,11.3,6.9,8.7,4.9,0.7,0.7,6.8,9.7,4.0,6.4,17.1,12.0,1.4,6.2,0.9,18.2,22.6,0.7,9.8,2.2,6.3,1.4,14.5,7.9,2.0,1.9,17.4,7.0,2.1,4.6,20.1,0.0,2.6,10.0,5.9,21.8,3.9,3.3,1.2,13.6,12.3,6.0,1.9,2.4,2.5,6.5,4.9,5.0,17.4,7.4,3.3,13.1,2.4,3.0,20.1,5.8,3.1,4.0,5.9,2.2,8.0,3.1,5.6,16.7,7.4,9.4,15.8,3.3,3.8,3.6,14.4,2.2,5.5,6.0,2.2,2.5,6.9,6.0,5.1,15.5,11.5,4.2,8.1,2.6,17.2,3.0,10.6,6.6,8.5,9.0,11.7,3.0,3.9,2.8,1.1,7.1,4.8,2.2,8.3,14.0,12.2,7.3,2.8,12.0,7.5,3.9,27.6,12.2,4.7,4.4,3.4,3.1,5.3,4.4,11.9,2.4,7.4,5.2,3.2,1.3,3.4,7.9,2.2,9.1,0.5,2.5,9.8,23.1,8.4,9.6,4.8,12.0,22.0,13.8,6.0,4.9,6.2,2.0,4.5,4.0,8.3,5.0,13.0,9.8,24.9,6.4,4.1,2.5,16.1,0.5,10.5,23.4,9.4,13.7,2.6,20.8,0.0,10.1,10.1,5.6,13.8,6.4,3.2,4.4,4.9,7.3,0.0,3.9,15.8,9.8,1.0,2.0,7.6,1.7,2.9,6.1,4.3,8.6,4.5,1.9,20.5,11.1,4.6,6.0,11.6,10.2,2.5,5.9,2.1,7.5,10.5,18.7,31.1,13.6,4.5,2.7,7.2,8.9,11.4,3.3,7.6,12.0,5.8,8.6,27.1,9.5,9.3,12.0,3.9,11.3,16.4,4.7,10.0,4.6,11.6,2.0,9.5,19.5,7.2,1.3,6.5,2.4,1.4,6.8,4.7,8.8,2.2,6.3,2.1,15.2,5.3,4.1,7.6,3.9,8.3,9.7,12.6,6.3,3.2,2.3,5.3,4.6,6.5,4.3,9.6,7.1,9.3,4.6,4.8,12.0,9.6,7.9,4.8,7.6,1.1,3.9,4.4,9.5,12.0,13.2,1.3,7.7,6.5,9.4,2.0,3.3,12.4,10.1,3.9,4.9,2.3,17.7,5.9,9.9,16.5,4.3,2.0,2.4,4.5,5.4,5.0,16.2,5.9,4.4,3.0,5.0,11.9,15.9,1.3,3.8,2.6,0.0,2.2,0.8,21.5,6.4,16.3,5.2,11.9,13.0,6.7,11.1,6.1,5.8,8.5,6.6,12.8,9.4,7.9,0.8,12.3,1.6,11.5,29.8,6.3,1.5,3.3,12.9,4.5,12.9,3.5,9.4,19.7,16.9,2.0,3.1,7.1,2.4,3.7,1.7,1.3,0.3,2.1,9.3,11.5,10.4,2.3,28.5,6.3,5.9,9.3,3.1,22.0,3.5,7.9,12.0,17.2,7.1,9.1,4.7,17.0,23.2,18.0,4.7,3.4,3.3,5.1,10.9,5.9,7.5,11.0,8.1,0.0,15.6,3.3,1.6,19.9,23.9,8.2,4.7,1.4,4.6,5.7,1.6,17.3,6.5,7.1,20.5,28.7,8.7,6.8,5.4,7.9,1.2,11.3,6.1,4.9,3.8,0.0,16.0,9.3,0.6,11.9,6.0,5.0,26.8,2.8,4.5,12.3,6.5,11.1,2.1,1.0,4.1,2.8,4.3,12.6,1.5,14.9,22.2,12.4,7.2,1.8,1.7,6.4,4.3,13.6,5.3,0.0,4.1,1.0,2.1,12.9,3.5,8.1,3.6,0.7,20.4,25.3,14.8,4.8,8.3,8.5,2.8,9.0,1.5,5.3,3.1,17.7,1.8,6.5,7.6,9.6,19.2,0.7,22.0,3.8,4.5,1.4,18.2,3.4,2.2,13.0,1.2,9.6,19.7,6.5,12.2,3.5,9.2,5.3,4.6,18.1,2.1,9.6,18.9,5.2,6.5,5.7,4.6,2.6,22.9,1.7,15.2,2.8,13.7,2.0,1.1,11.4,11.1,20.6,13.2,10.8,4.0,1.2,5.1,2.1,11.8,0.8,3.4,2.2,3.3,4.6,4.1,3.5,7.1,4.5,13.5,4.0,13.3,2.0,6.8,7.0,21.2,26.1,17.6,6.0,2.6,11.1,7.7,6.0,1.5,1.9,2.7,18.4,4.0,9.7,14.0,3.4,8.1,8.4,1.9,4.4,8.4,5.7,21.2,13.4,11.3,14.9,14.1,5.3,9.6,5.7,6.6,14.8,6.1,2.2,14.6,8.3,1.7,0.8,7.4,9.0,4.2,5.0,13.4,3.4,6.9,22.4,2.8,4.1,25.2,1.9,2.1,12.3,11.1,4.8,4.0,9.4,4.3,9.1,12.0,1.8,1.7,5.8,10.8,4.7,4.0,19.4,1.5,12.3,16.6,13.1,7.1,4.5,13.9,2.2,0.0,4.1,16.8,8.7,3.4,2.0,7.9,4.8,5.7,25.6,9.2,5.5,9.5,6.9,9.9,6.5,9.7,11.7,1.3,9.6,25.5,3.1,8.7,5.5,12.4,3.8,11.7,5.9,8.0,6.3,11.1,6.0,3.2,6.9,2.8,2.5,5.2,15.1,5.6,3.8,9.4,5.6,18.7,3.3,4.3,6.7,11.1,4.6,1.0,24.7,14.1,2.9,6.1,7.8,11.5,2.2,11.8,11.6,19.7,4.9,5.8,11.2,1.2,13.9,3.5,11.9,9.4,10.4,3.7,3.3,3.9,11.7,7.9,2.1,9.4,20.0,2.6,16.5,21.8,5.0,8.4,19.3,6.8,3.2,3.3,1.5,3.6,17.9,0.6,21.6,20.4,3.9,4.7,7.2,4.7,3.9,19.1,6.7,6.1,21.2,27.2,14.4,5.0,4.4,3.0,4.6,10.6,4.9,6.7,6.4,4.1,2.7,8.4,7.5,7.1,10.2,24.5,7.4,7.7,6.4,1.1,7.6,4.1,3.0,1.5,12.5,5.2,1.1,7.4,3.8,3.0,2.7,3.0,6.2,7.3,3.1,9.6,12.1,1.2,8.8,14.6,1.4,14.2,12.2,4.3,0.3,12.4,9.5,4.0,11.2,4.6,2.7,3.4,6.7,3.1,1.4,13.5,5.1,3.7,9.5,21.7,9.8,13.6,3.6,11.4,4.6,4.9,4.2,7.0,9.0,9.6,2.8,4.3,19.7,6.4,12.0,2.7,10.7,16.5,1.9,11.8,1.1,3.1,15.7,31.4,20.4,5.5,13.1,7.2,4.8,12.2,5.4,22.1,9.2,14.5,1.8,3.4,2.9,2.1,9.3,2.1,7.0,1.6,14.4,5.1,1.8,13.6,1.5,17.0,11.1,10.0,4.5,3.2,7.6,18.1,7.9,6.8,4.5,3.9,11.3,3.7,1.1,2.1,1.0,8.5,20.4,5.0,7.3,5.4,6.6,3.2,9.3,8.0,3.3,1.8,3.6,7.2,4.4,8.0,10.1,2.2,4.8,7.1,3.3,1.2,5.8,7.9,9.4,9.3,21.5,10.7,3.8,10.7,1.4,21.4,7.6,1.1,5.3,19.0,2.4,1.2,1.5,6.3,14.6,14.8,19.3,14.4,14.7,2.6,4.5,4.2,4.3,6.4,4.3,0.3,5.7,16.8,20.7,8.6,18.3,8.0,8.8,5.0,3.6,4.1,2.2,12.0,14.8,1.5,5.7,9.0,3.3,8.9,11.5,0.0,7.1,12.4,2.9,3.2,15.1,11.2,10.8,6.4,23.4,10.7,6.7,13.9,10.9,3.2,8.8,3.8,7.5,22.1,4.4,0.9,2.5,2.0,4.3,6.5,2.6,7.7,7.6,3.1,6.4,12.1,8.8,2.4,6.6,18.2,5.5,0.8,1.0,7.2,18.1,5.4,4.0,9.7,21.5,2.6,7.7,9.8,7.5,1.5,2.0,3.4,2.1,20.8,1.6,16.7,6.8,1.3,5.2,6.3,16.2,7.2,1.7,1.8,0.9,5.1,4.8,15.4,2.8,2.9,8.6,4.5,1.5,1.2,7.1,6.0,3.5,10.0,0.0,3.9,5.9,5.6,6.9,4.6,1.9,7.4,13.4,17.5,7.9,12.0,3.0,16.8,4.4,12.2,6.6,7.1,8.3,3.7,7.0,23.0,4.0,4.8,3.1,10.3,0.8,3.9,4.1,1.7,4.1,22.2,2.1,10.6,4.7,12.0,13.6,13.5,1.0,13.2,0.6,27.6,22.5,4.8,12.2,4.4,5.4,1.6,6.2,7.2,3.7,7.7,20.1,10.3,6.2,0.3,1.4,13.1,2.1,15.2,3.3,15.2,7.3,4.7,4.4,6.9,17.1,3.3,5.1,6.1,2.3,1.0,13.9,3.7,1.5,3.4,3.1,1.9,5.9,8.3,7.7,1.9,1.8,9.1,5.2,6.7,0.0,5.4,4.2,6.0,1.8,14.5,12.3,20.8,9.0,18.3,4.7,4.5,6.0,4.2,20.4,4.9,22.1,5.6,5.8,2.1,9.5,12.1,17.2,15.6,18.7,5.7,2.8,5.8,5.5,4.0,2.5,2.2,10.8,0.0,21.6,10.7,7.8,10.3,3.8,2.3,1.2,1.3,7.9,1.0,25.1,9.7,5.8,3.0,6.9,14.3,9.4,10.5,13.9,1.5,4.6,1.5,10.8,8.5,2.4,9.4,9.2,2.6,3.5,0.0,2.3,13.4,12.5,1.9,1.0,4.8,2.2,6.5,8.2,9.1,12.9,9.7,3.7,18.5,6.1,1.5,6.7,10.5,5.7,18.5,7.5,8.6,5.5,8.8,9.4,6.9,0.0,1.4,4.4,4.5,5.7,4.0,10.8,4.8,2.3,4.2,8.0,8.4,19.7,9.7,19.9,6.7,6.8,21.2,4.4,6.2,1.7,5.8,3.0,11.8,27.5,1.9,3.6,0.7,18.1,11.2,7.5,22.5,3.2,12.6,3.1,19.7,15.5,3.5,9.0,20.6,1.6,6.5,5.2,3.9,6.8,7.0,9.0,1.8,7.7,0.0,8.3,22.3,21.0,17.8,3.9,5.6,8.6,9.2,5.2,20.6,6.9,4.0,9.9,10.1,5.6,14.3,17.6,5.5,6.1,4.4,11.0,13.5,8.4,6.6,2.0,17.2,9.0,6.6,11.7,3.0,14.2,4.4,6.8,9.7,2.6,4.1,3.3,3.7,8.7,4.3,23.3,4.9,13.3,1.2,7.1,4.8,11.6,7.3,9.8,4.7,15.5,32.1,2.0,8.4,1.9,4.2,1.3,4.0,7.8,5.0,12.8,16.4,3.6,2.7,5.5,9.7,4.8,2.1,11.4,10.3,2.5,9.6,10.4,5.5,7.6,5.5,7.6,11.7,4.1,5.0,0.8,4.7,7.4,3.2,14.0,0.5,2.3,6.4,3.1,9.8,5.1,18.4,3.0,20.6,2.8,15.9,4.5,2.0,8.7,6.1,3.4,10.1,16.7,6.7,13.0,23.0,6.5,4.2,6.4,30.0,1.0,14.6,7.4,14.1,3.3,4.6,10.5,12.5,3.9,1.0,3.1,7.7,4.3,10.7,19.0,25.9,0.0,19.2,0.0,2.0,9.4,3.1,1.9,9.4,2.4,9.3,4.4,4.4,10.7,2.3,1.3,17.6,1.7,5.0,8.4,6.9,4.5,0.8,15.5,3.0,4.8,4.4,5.0,20.0,3.2,15.6,19.3,5.7,15.9,7.8,0.8,15.1,12.3,6.4,4.1,4.3,4.4,1.9,11.1,9.3,11.7,3.3,18.4,5.3,0.5,3.7,21.7,6.5,18.6,4.5,2.9,0.9,18.3,1.1,9.6,5.0,11.5,2.2,3.5,3.6,7.4,4.2,7.8,10.2,1.1,17.2,1.6,6.3,0.0,24.2,3.0,23.0,2.5,17.7,1.0,10.5,4.6,0.8,2.5,0.0,2.7,12.6,11.8,0.8,8.3,16.2,9.6,4.5,20.9,16.8,18.8,6.0,17.1,4.5,10.9,11.1,24.0,1.5,12.0,7.9,6.2,4.2,24.2,13.1,2.0,16.7,13.6,6.0,2.2,6.1,16.1,11.2,3.4,1.2,6.0,3.5,3.8,8.5,8.5,0.5,3.6,2.5,10.3,3.0,7.8,8.6,5.9,2.0,9.4,3.5,7.9,4.2,4.6,2.4,5.5,6.9,9.4,3.2,4.0,4.2,12.8,2.0,4.1,16.0,1.2,1.0,3.0,2.8,1.1,28.0,2.7,14.7,4.3,6.0,5.6,5.0,8.4,14.7,22.3,2.0,2.2,7.9,10.3,2.4,7.1,9.4,5.0,3.2,2.9,14.5,1.8,10.0,15.3,3.1,3.8,3.8,3.3,2.7,20.1,17.5,6.9,5.8,2.9,7.5,7.9,14.2,2.6,12.0,9.9,7.1,22.5,9.8,7.3,6.1,10.5,1.8,10.2,17.8,16.6,20.2,6.2,5.0,3.7,7.5,7.8,1.9,6.3,5.1,1.9,4.8,1.0,0.4,14.4,3.0,3.4,18.5,17.6,10.0,2.9,1.8,23.0,7.0,6.8,8.7,4.8,5.9,6.9,0.9,18.1,5.8,10.6,0.0,8.3,19.0,3.3,16.3,21.5,3.7,8.5,1.0,7.9,2.6,3.4,5.9,4.6,3.4,1.7,4.8,8.0,3.2,19.8,1.0,4.8,6.8,3.2,13.2,8.4,5.9,8.6,2.9,18.7,6.3,6.1,4.0,10.2,11.5,3.4,1.0,16.9,6.0,1.3,0.1,6.0,9.2,21.0,15.5,12.6,4.9,7.6,5.0,11.8,20.7,4.0,2.3,3.8,14.0,1.8,3.4,10.6,1.4,4.6,10.9,3.9,4.0,4.0,6.0,5.7,2.2,1.0,13.4,7.0,4.4,6.5,1.8,15.8,3.6,9.5,2.2,0.8,2.2,6.9,14.0,5.7,6.2,1.5,4.4,14.8,3.5,9.2,3.2,16.5,14.8,8.0,20.6,8.8,1.7,8.0,18.5,1.5,4.0,13.3,0.6,3.1,6.3,9.2,1.9,11.4,8.9,5.0,2.1,10.5,3.5,8.7,4.4,9.6,4.7,10.8,7.0,3.5,2.7,6.9,14.1,4.5,12.3,7.8,13.8,7.5,4.6,1.3,9.5,4.0,22.9,4.6,3.1,5.3,5.4,7.1,18.7,15.5,3.5,3.3,5.9,11.3,9.6,6.0,5.7,6.7,2.5,13.7,1.2,2.9,20.8,17.3,8.3,13.6,15.5,6.6,4.3,4.2,3.8,16.8,10.9,6.1,11.8,6.4,2.3,17.0,2.2,9.4,8.6,1.3,7.0,6.2,4.3,5.8,2.1,2.9,16.7,9.2,12.9,13.9,6.2,2.9,5.0,1.0,20.1,0.0,2.3,10.9,3.3,4.0,2.0,5.6,3.0,14.7,6.7,17.3,6.8,2.3,5.7,10.2,16.2,11.6,20.0,3.7,14.7,4.0,21.8,9.0,5.6,4.0,7.4,14.4,1.9,2.9,8.0,10.1,13.6,4.1,10.0,0.2,6.9,4.1,2.0,9.2,6.8,3.1,11.3,16.6,3.7,19.6,10.3,2.0,5.6,14.6,4.9,6.7,3.9,3.5,12.4,8.9,1.9,5.4,12.3,4.8,26.4,2.2,3.7,15.1,4.8,4.0,7.7,9.2,4.9,0.6,1.6,7.1,7.0,3.7,0.7,5.8,10.6,11.3,1.3,16.9,5.0,3.2,5.8,6.2,6.0,18.9,1.8,18.3,20.0,7.7,3.0,16.1,7.1,9.2,11.9,1.8,17.2,7.3,7.4,5.7,4.0,3.6,26.1,2.7,3.3,11.5,2.3,6.6,14.4,12.0,24.1,12.3,7.7,3.7,7.5,5.8,12.7,5.2,4.5,6.4,3.6,20.3,4.4,3.2,4.8,14.7,3.5,10.1,6.3,4.6,15.5,21.3,4.3,21.7,18.7,3.5,11.5,3.0,3.8,19.4,2.7,7.4,16.8,22.9,9.9,3.9,12.0,2.2,5.1,6.4,15.5,9.7,11.8,2.3,3.5,24.5,1.3,4.2,10.9,8.0,11.2,15.4,8.7,5.9,6.6,2.4,5.4,6.8,25.7,0.9,16.6,3.2,11.9,2.5,4.9,5.6,6.8,7.8,6.2,19.1,3.0,11.2,7.0,9.6,8.9,0.9,19.2,15.1,4.5,9.7,5.9,3.0,3.7,0.7,10.3,12.0,16.4,10.4,4.8,7.0,15.6,0.0,3.1,9.4,3.8,7.4,2.0,5.2,11.1,1.7,4.5,17.5,6.7,3.5,1.6,5.5,11.9,30.7,7.6,26.0,4.9,3.1,0.9,9.0,13.6,15.6,8.4,1.1,3.6,7.3,3.1,19.6,2.7,8.4,1.0,10.1,6.4,10.3,2.7,3.1,3.0,17.2,1.0,4.5,4.0,4.7,6.3,11.6,15.8,3.9,12.5,7.3,2.0,7.5,12.8,7.5,1.8,4.0,3.8,1.0,6.1,11.9,22.2,9.0,7.5,13.6,3.8,6.3,4.8,2.0,8.2,1.2,4.4,4.5,2.4,6.6,17.8,3.9,20.8,15.5,6.5,5.4,16.5,7.7,16.8,5.9,9.1,9.8,19.5,7.9,5.3,3.1,3.3,2.2,4.2,15.5,12.4,4.7,2.5,6.1,7.0,11.2,7.8,9.6,1.5,8.4,1.2,9.6,1.8,5.6,7.6,8.0,9.7,12.6,2.8,10.1,5.1,6.6,2.5,4.1,6.3,1.2,22.2,1.1,9.6,3.9,1.5,3.1,0.0,3.8,14.2,7.0,27.2,4.5,12.8,22.0,3.2,6.0,15.2,11.5,7.0,11.5,4.1,27.6,5.0,0.5,15.7,5.2,3.0,2.9,4.3,6.4,17.1,3.4,17.7,15.4,11.7,18.5,2.1,2.5,2.5,5.3,4.6,3.3,3.7,10.3,5.9,0.0,5.6,2.8,14.0,1.4,1.6,6.2,19.7,10.0,1.7,25.5,8.7,11.0,4.9,2.4,6.5,10.5,14.9,4.5,1.4,4.9,24.3,2.0,1.5,12.8,7.0,10.1,12.4,21.7,14.4,8.5,9.5,6.4,5.7,10.2,4.3,1.1,6.8,6.4,1.7,8.1,2.2,8.8,10.0,6.5,5.9,14.5,20.5,3.8,12.3,14.2,3.3,11.1,3.3,5.1,14.9,13.0,8.4,1.8,20.1,0.2,1.3,21.6,17.8,4.6,2.3,10.8,8.0,4.6,5.2,5.5,23.9,4.9,3.9,2.9,4.8,8.2,1.7,13.5,2.9,1.7,11.6,3.5,3.2,7.6,5.1,7.7,7.0,1.8,5.5,0.9,6.0,16.0,5.5,3.8,22.2,18.7,14.8,2.0,1.4,2.9,5.6,14.0,4.0,9.0,7.2,3.8,0.9,9.1,9.9,0.4,11.1,2.3,9.4,2.7,3.6,6.2,10.3,4.6,12.0,16.0,1.8,7.0,5.4,11.7,3.1,3.2,0.0,6.4,2.1,12.9,9.6,7.3,13.5,9.5,12.5,2.4,10.2,5.8,5.4,1.7,13.4,11.8,13.4,10.0,9.5,19.6,7.3,1.8,1.7,4.0,24.6,5.9,23.0,1.4,8.4,2.1,15.7,24.7,5.4,13.6,11.8,4.6,1.1,2.1,13.2,8.9,9.8,2.0,1.7,3.3,5.7,0.8,1.8,4.7,11.2,4.9,5.6,9.6,7.7,4.7,4.8,12.6,11.0,27.2,2.3,11.8,0.0,6.1,8.1,13.3,10.8,2.0,10.8,6.3,7.5,1.6,0.9,2.8,2.6,26.6,2.7,1.7,9.3,2.9,3.7,10.7,1.0,15.8,9.9,5.2,3.4,29.3,5.3,9.3,3.6,3.3,4.1,13.3,2.3,23.2,17.1,12.3,5.9,5.3,1.2,20.1,3.1,13.0,3.0,4.3,20.2,8.6,6.1,6.7,5.2,17.1,2.3,6.7,15.2,6.4,1.3,10.6,15.1,6.7,2.4,1.6,4.1,14.9,3.2,7.0,2.8,1.3,7.7,5.3,1.8,3.4,5.0,5.3,12.3,9.2,9.3,14.3,0.8,14.6,9.3,7.2,4.8,1.8,7.3,5.1,0.7,4.3,9.2,2.2,12.2,1.8,2.0,9.6,4.9,7.8,2.3,8.2,1.7,17.9,16.9,7.3,5.1,6.4,2.2,2.3,11.4,13.4,2.2,13.6,13.3,3.3,4.4,20.5,3.8,4.6,7.5,4.5,4.6,18.6,7.9,5.8,2.5,1.8,0.0,33.0,7.8,1.0,8.7,6.7,4.6,2.2,4.6,12.3,13.7,3.0,15.3,13.0,9.4,1.6,2.5,9.9,8.9,2.3,20.2,8.1,3.7,9.5,6.9,17.8,3.4,14.8,1.7,4.0,0.9,6.5,6.7,11.7,3.3,5.2,3.8,3.8,7.5,14.0,9.2,4.8,2.1,2.6,5.7,2.8,15.0,16.1,11.9,5.8,12.6,3.4,7.9,2.9,2.9,2.9,7.5,0.0,3.4,2.2,1.4,5.8,16.3,3.6,26.5,17.6,12.3,3.6,8.4,13.0,18.5,5.0,22.5,8.7,10.2,0.9,20.4,5.0,2.1,2.0,3.6,12.1,1.3,7.6,9.7,17.2,0.3,7.3,7.3,2.2,4.5,3.8,3.4,3.2,8.2,9.5,3.0,2.6,10.1,20.0,12.3,1.3,3.9,2.1,6.4,5.1,12.4,8.2,4.7,6.7,7.8,2.3,12.1,14.7,0.5,0.0,7.9,20.1,15.1,4.5,8.7,3.1,25.1,11.9,1.1,5.6,20.1,19.5,3.3,2.0,19.4,5.8,2.3,21.8,1.0,11.0,5.3,9.3,5.8,3.4,24.2,2.5,9.8,1.3,7.3,19.0,2.4,3.4,3.6,7.0,22.3,1.1,18.0,3.3,11.7,4.7,2.2,3.4,15.6,0.8,14.0,18.2,9.5,9.2,11.5,12.3,2.0,2.6,16.4,16.3,8.2,14.4,18.8,6.1,8.9,12.2,14.1,1.6,4.9,18.6,10.3,4.9,7.2,7.9,7.6,18.9,24.4,3.8,5.8,4.6,4.3,3.0,4.9,7.4,11.5,14.8,3.4,4.2,15.5,1.5,31.4,13.1,4.2,3.5,8.6,2.9,2.9,2.3,5.8,1.9,2.7,11.5,1.8,5.0,14.3,8.8,0.7,4.3,3.0,35.4,8.0,5.5,10.0,1.0,15.6,3.0,11.3,12.3,0.9,10.5,4.5,11.8,10.1,8.6,5.6,8.9,3.6,5.2,9.1,12.9,1.8,21.8,10.8,2.7,9.4,15.9,4.9,4.4,15.1,6.5,8.1,9.3,21.1,11.5,20.3,13.7,1.8,3.3,6.2,12.1,6.8,2.8,16.8,9.3,6.2,13.5,0.0,7.5,5.5,2.1,1.5,4.8,9.0,3.5,3.4,1.4,26.8,25.4,10.1,10.0,12.8,6.7,2.9,11.3,1.2,7.8,10.2,6.6,0.0,8.5,2.7,3.1,7.5,7.6,12.5,1.0,5.0,6.3,18.0,9.8,2.6,17.6,1.5,3.2,5.0,0.5,3.2,22.4,12.8,17.6,1.1,13.0,1.0,6.4,1.0,6.5,7.7,8.3,9.2,4.1,1.2,12.0,2.5,7.2,1.6,3.7,4.4,2.3,28.4,7.8,14.4,4.0,12.7,2.9,13.3,3.1,6.2,8.4,3.1,1.4,2.4,6.0,13.0,3.7,3.0,2.1,18.1,6.9,13.0,13.0,18.9,3.1,16.4,9.6,1.7,2.2,4.2,5.2,5.0,9.7,5.1,4.8,7.1,1.2,4.5,2.6,8.7,8.5,4.4,5.0,16.0,16.7,10.9,4.3,4.3,1.3,19.4,1.9,12.0,25.0,8.5,2.0,6.4,6.2,3.3,8.5,10.9,5.3,10.4,6.5,4.6,2.9,13.9,7.6,8.0,5.6,3.0,2.9,3.0,2.7,2.1,18.3,2.3,11.2,1.9,12.2,10.7,4.8,3.3,7.5,3.4,11.2,13.5,5.6,13.2,4.1,16.9,9.1,7.4,13.8,0.8,7.5,4.0,1.8,8.8,1.7,6.6,3.5,5.3,8.0,16.2,7.7,19.5,6.6,20.5,14.4,2.5,4.2,8.4,2.6,6.1,1.5,6.1,4.4,6.7,5.0,6.0,7.1,1.4,9.4,14.6,1.6,13.7,6.4,11.6,10.2,2.8,3.1,24.6,2.7,7.0,6.0,1.9,11.1,0.8,17.6,27.4,2.3,10.1,9.5,22.4,20.2,13.3,14.7,6.4,0.8,10.1,0.0,5.0,2.6,5.3,6.2,10.1,2.5,26.4,14.0,4.9,4.9,12.3,3.7,5.2,2.8,9.6,1.5,2.6,6.1,1.8,1.4,2.6,2.2,1.9,20.8,1.6,6.8,25.0,17.8,2.4,5.0,13.0,5.0,12.2,19.8,17.0,1.5,2.0,11.9,6.1,3.7,3.1,10.1,1.0,3.2,9.9,9.3,4.5,17.5,3.9,5.5,3.0,17.3,4.3,9.0,6.1,4.3,3.9,6.6,2.7,0.7,1.3,4.6,3.3,5.3,3.0,14.7,10.8,12.1,2.4,7.7,12.3,10.7,16.3,16.4,5.6,10.1,4.2,2.6,1.5,4.3,3.7,11.0,1.7,4.9,11.4,10.9,4.1,2.9,4.0,3.0,16.5,7.3,18.8,7.6,4.2,18.1,3.8,2.4,5.2,7.9,16.6,4.9,31.6,3.8,4.6,8.4,14.4,5.6,9.0,15.9,14.9,5.2,27.3,4.9,11.2,1.7,6.8,26.7,0.6,3.2,4.6,11.1,17.1,12.8,1.0,10.1,18.5,3.6,9.8,0.0,17.3,16.5,8.9,1.9,1.7,17.3,9.0,18.8,4.5,12.3,1.1,5.3,7.1,7.0,13.1,9.8,4.9,12.1,2.1,11.6,2.2,8.4,2.0,17.6,3.0,3.6,0.0,10.1,7.2,11.5,11.0,20.0,2.5,3.6,14.3,7.7,14.0,7.8,0.6,6.4,1.5,18.6,6.1,11.3,16.4,15.5,3.2,2.2,2.0,11.8,2.2,2.5,16.5,16.0,5.8,3.1,4.4,6.4,18.6,24.6,3.8,11.1,11.9,12.2,23.6,1.2,25.0,4.4,11.3,0.0,1.8,2.9,9.2,15.0,0.0,6.6,0.0,25.2,2.2,2.7,1.9,10.7,9.5,5.2,11.4,10.3,5.9,8.9,6.7,9.6,6.2,26.3,3.3,1.0,7.8,9.7,9.2,3.5,9.0,2.0,16.8,6.6,8.5,9.1,4.5,6.9,4.0,4.4,6.2,2.7,1.6,7.7,20.9,5.2,28.9,1.1,2.9,9.5,13.5,11.8,17.0,8.6,22.6,2.5,10.6,19.1,2.0,5.9,2.0,20.4,6.8,3.7,2.4,18.2,13.4,11.6,1.3,8.3,14.1,12.3,7.8,1.3,19.8,9.5,4.7,20.1,21.4,8.1,7.1,3.7,8.5,5.6,12.4,5.3,3.0,4.5,6.4,9.7,3.7,7.5,14.8,3.0,23.6,1.3,3.8,7.9,7.1,1.4,20.7,24.6,5.1,10.7,2.7,7.5,3.7,18.8,13.2,12.0,11.7,2.9,3.4,5.9,8.8,3.2,9.2,6.5,5.3,5.3,3.2,10.4,19.6,5.0,6.2,2.5,1.6,1.3,4.2,10.8,20.6,2.9,11.2,8.3,1.1,7.2,17.6,2.2,2.4,4.1,2.2,1.8,11.9,20.6,8.5,10.9,1.6,8.0,7.4,8.1,5.8,3.7,9.9,1.7,6.7,1.9,2.9,7.2,10.8,7.9,12.3,4.1,4.3,3.8,1.0,6.1,4.8,9.4,3.3,12.3,7.6,2.1,5.1,19.4,13.8,19.4,5.8,13.1,4.0,0.8,11.4,19.5,2.7,3.5,5.6,5.8,4.5,2.0,0.8,9.4,11.0,13.2,14.3,13.1,10.5,3.8,21.4,7.8,5.6,12.5,8.0,6.3,8.8,3.7,3.9,3.5,21.8,18.6,4.8,12.8,1.3,10.2,5.8,4.0,19.9,21.8,5.2,4.3,2.3,4.2,1.9,1.9,13.6,10.1,21.0,12.7,3.7,4.2,26.4,6.0,25.2,3.6,6.7,7.5,1.5,3.0,17.0,2.0,7.7,3.9,6.8,7.6,11.7,17.0,1.8,1.2,22.3,5.8,15.7,3.6,21.1,7.8,1.9,3.9,13.4,3.0,4.7,1.8,5.8,22.1,0.0,0.6,2.0,20.3,25.7,7.6,9.1,8.8,9.8,13.4,4.0,8.3,19.1,10.6,7.1,12.8,4.6,4.7,1.8,3.3,6.0,3.7,5.0,8.1,6.9,21.1,9.0,3.4,8.4,4.5,14.1,12.7,7.8,6.6,5.3,9.8,4.1,7.5,3.6,0.9,2.1,2.2,2.1,1.5,18.9,2.5,8.1,19.6,16.4,2.2,8.1,4.8,2.3,4.1,8.0,20.2,8.2,2.0,8.9,14.5,3.9,20.5,2.4,10.1,22.7,2.0,4.3,7.2,13.9,9.4,19.1,3.6,5.0,16.4,2.7,8.5,17.2,1.4,9.0,1.7,11.9,5.6,5.1,20.1,2.2,12.6,2.5,5.7,11.2,10.5,7.4,8.8,1.8,3.1,5.6,9.3,2.5,9.3,5.4,13.6,1.7,0.9,6.6,13.1,3.7,0.8,10.6,8.1,3.1,13.1,14.9,18.2,12.7,7.8,4.9,17.4,14.4,5.2,3.4,17.3,22.6,4.7,13.8,2.5,1.8,5.8,7.6,12.0,15.4,4.8,14.8,19.9,1.5,5.5,17.2,10.9,5.0,3.9,1.5,1.1,0.4,8.3,7.6,8.7,1.0,8.5,6.9,1.4,12.4,20.3,18.8,23.7,11.8,1.8,8.2,3.1,15.5,8.8,5.6,6.4,10.5,4.5,0.5,1.5,13.6,3.2,2.0,10.7,6.6,21.7,10.1,3.5,4.8,3.6,6.0,12.5,9.1,11.2,6.7,8.1,7.3,7.2,17.0,7.6,2.7,4.6,3.5,19.5,3.0,2.9,6.6,9.1,2.2,5.9,0.9,3.2,0.9,8.4,0.5,8.3,8.2,10.7,6.4,11.5,5.6,11.5,28.3,1.4,5.7,6.3,4.8,9.9,9.6,1.6,17.8,14.2,1.0,12.2,30.0,15.6,7.9,11.1,2.4,2.6,0.9,0.8,1.1,10.3,6.7,9.1,12.4,12.1,3.6,1.6,13.2,6.7,8.2,4.3,5.3,19.3,2.8,6.6,18.8,21.6,6.9,13.3,2.0,5.5,3.1,12.2,5.8,6.8,11.8,12.0,3.6,21.3,8.4,1.6,11.5,3.4,6.1,12.4,2.1,16.9,3.9,5.2,17.6,8.6,22.0,4.0,5.9,7.3,4.7,5.2,4.0,20.1,13.9,8.5,5.5,1.0,2.4,2.4,3.9,3.2,5.8,4.6,2.2,3.2,13.3,7.4,15.3,18.9,10.4,6.4,3.0,0.3,7.8,13.1,5.3,5.5,1.8,5.1,8.9,4.2,16.7,9.8,7.2,2.9,0.9,2.2,6.5,15.2,6.0,4.0,0.7,19.7,4.5,7.3,4.2,2.5,0.9,16.8,3.0,4.8,12.9,6.2,20.8,11.6,8.6,3.4,14.4,8.5,5.0,7.2,1.0,3.8,7.0,19.7,9.7,8.9,12.0,2.9,13.8,13.2,16.1,5.7,3.1,2.6,12.2,2.5,3.4,7.3,2.0,5.7,5.2,16.6,13.0,7.0,4.5,12.7,6.9,20.8,10.6,3.3,2.0,6.9,15.7,11.0,3.8,20.7,5.4,0.6,11.4,1.6,3.0,4.1,2.8,12.9,1.8,5.9,17.8,2.5,14.9,2.0,14.2,8.8,10.8,4.2,14.3,1.0,8.9,3.7,12.8,3.7,15.6,22.0,4.8,7.8,8.5,19.3,1.5,1.9,15.3,5.9,1.5,8.7,1.8,2.0,21.2,0.5,9.4,14.9,10.9,15.1,8.7,9.9,9.7,5.7,17.8,19.0,3.7,4.4,3.3,7.1,5.9,4.0,3.9,13.7,13.9,3.1,5.2,10.0,0.8,4.0,0.3,2.6,13.6,7.7,17.1,0.0,13.9,10.2,8.2,3.0,4.4,1.7,7.2,17.0,1.7,4.2,11.8,13.4,4.3,10.2,5.0,13.3,20.5,13.5,4.0,18.9,3.9,2.6,3.6,18.5,5.4,10.9,8.2,14.6,9.7,2.7,1.4,11.7,11.9,11.9,7.2,3.2,3.3,3.9,6.4,19.6,18.3,5.0,3.3,14.2,18.2,11.2,6.8,12.0,17.7,9.6,16.3,0.8,12.4,1.3,17.2,2.0,2.5,5.5,0.7,7.7,3.3,18.3,6.4,12.8,4.2,2.2,18.0,4.2,15.6,5.2,4.4,4.1,2.2,5.6,14.4,2.4,8.5,6.6,4.5,8.2,9.0,5.8,16.8,19.6,11.1,5.0,1.2,21.4,6.1,3.1,13.3,3.0,3.0,4.2,4.3,6.7,4.7,16.5,0.8,11.7,25.3,0.9,1.4,4.2,12.8,7.2,12.7,9.6,5.0,2.6,14.1,2.5,3.2,3.3,3.4,15.5,11.9,3.8,8.9,4.7,9.9,7.7,14.2,15.8,11.1,24.6,4.0,9.7,9.9,26.8,4.7,3.9,4.3,4.2,9.0,7.6,5.3,2.3,18.1,11.3,11.6,28.4,10.3,8.5,4.1,7.4,6.1,7.8,4.0,1.8,5.3,5.4,9.1,8.9,2.7,11.8,13.7,10.1,3.0,8.4,18.6,6.2,1.3,4.2,8.4,16.2,17.7,0.8,6.4,25.8,22.7,11.1,12.0,2.0,22.8,5.1,7.2,4.9,3.5,5.5,1.9,1.8,25.9,4.5,3.8,4.8,3.8,21.3,3.0,2.0,20.6,30.2,6.6,2.3,4.3,11.9,1.6,5.2,7.5,5.6,16.0,21.0,4.3,4.1,2.3,3.4,6.6,11.7,1.8,9.9,19.4,16.8,4.3,2.4,2.6,3.0,22.8,20.8,16.3,15.4,11.6,11.4,11.7,1.0,14.3,22.2,5.3,5.3,10.1,10.7,7.9,11.9,4.1,10.0,3.5,11.2,3.5,2.9,4.0,1.7,20.1,8.6,11.5,16.8,4.6,2.9,2.3,17.5,21.4,23.1,2.7,18.8,7.3,16.2,9.2,2.0,9.1,9.5,2.7,13.0,4.2,3.5,3.0,2.4,3.7,9.7,8.1,22.6,2.5,8.3,4.1,8.5,4.9,2.9,14.9,20.7,2.9,11.0,9.6,5.3,7.5,7.8,13.2,11.9,2.7,3.9,9.0,14.1,10.1,2.2,11.6,13.7,8.9,8.2,1.8,0.9,2.0,12.6,18.3,11.8,11.9,4.3,12.1,2.5,4.9,8.8,3.1,6.3,7.1,16.6,4.7,8.4,4.4,12.3,18.1,1.1,15.2,3.4,16.3,18.3,4.5,1.7,4.5,2.2,9.9,12.0,9.1,8.7,11.9,4.4,14.8,11.0,13.5,5.7,1.8,7.0,11.7,10.9,4.0,5.0,15.8,2.6,1.6,10.3,7.0,4.5,17.5,10.1,2.6,8.6,13.8,8.4,7.9,3.2,10.1,7.1,25.5,5.9,2.1,0.8,19.6,14.6,1.0,14.9,4.5,9.1,0.7,8.2,16.0,2.4,6.1,8.6,7.5,17.9,3.6,13.8,8.3,6.0,8.5,9.4,7.4,4.3,20.8,12.0,8.8,15.3,8.7,1.2,10.0,9.4,6.6,6.2,16.6,9.9,6.5,20.1,8.1,8.4,1.3,6.6,6.3,4.8,2.6,3.3,0.7,2.8,3.7,8.1,7.4,6.1,10.9,4.0,7.7,16.1,8.0,13.5,8.1,6.9,9.0,10.3,3.3,2.5,2.1,16.5,7.3,20.6,4.2,17.5,7.5,4.0,3.7,12.0,2.3,12.0,18.5,10.1,8.6,10.2,5.6,2.8,6.3,15.1,24.1,5.0,2.0,7.2,6.7,0.8,4.5,12.4,5.8,3.9,20.2,3.0,2.1,19.6,7.3,18.7,2.2,2.1,4.5,4.9,4.4,4.0,13.0,19.8,12.5,7.8,6.4,4.0,3.3,19.0,7.8,0.0,18.3,26.6,11.7,6.6,2.7,10.9,7.8,3.7,3.4,13.1,10.4,16.9,4.7,7.0,4.8,7.1,0.7,8.6,2.9,1.2,2.1,8.8,7.5,8.5,18.7,20.8,2.6,5.4,8.0,16.9,25.0,3.3,4.3,2.4,17.7,10.3,1.1,18.8,1.6,1.5,1.5,9.9,1.7,9.4,21.5,15.5,5.8,8.8,11.3,9.1,5.3,16.8,19.5,7.4,9.8,24.0,5.9,19.5,8.9,6.1,11.9,11.2,1.7,7.8,16.3,28.2,11.0,6.5,4.8,12.9,5.5,17.2,14.0,17.1,14.1,8.6,6.2,11.9,23.1,13.8,1.7,3.4,10.7,17.1,14.2,7.4,8.5,15.9,15.0,13.8,15.3,5.1,8.8,5.8,2.0,6.5,11.7,11.6,7.3,13.0,4.2,3.3,18.7,5.0,6.0,10.4,3.3,1.5,10.1,1.6,11.5,30.1,14.3,14.0,13.9,20.6,6.9,10.9,27.0,1.5,7.1,3.0,1.8,3.3,4.4,6.0,2.8,9.3,4.7,13.5,7.2,5.2,1.3,10.3,12.7,4.3,2.7,15.7,8.0,3.8,4.0,7.2,9.1,3.0,16.5,14.6,3.6,7.1,5.0,7.5,2.1,2.5,14.5,4.3,2.6,7.1,0.8,5.6,2.4,2.1,7.6,17.6,2.6,17.9,10.8,9.1,29.7,9.5,4.0,2.3,1.0,4.7,14.0,6.2,16.2,10.4,2.4,15.4,9.4,3.4,1.5,3.9,3.6,7.6,2.2,8.5,9.6,2.2,15.4,2.1,3.5,18.0,4.9,12.6,9.9,6.4,3.9,9.4,3.1,9.9,1.0,8.1,5.0,12.4,2.6,11.3,18.2,6.3,7.9,11.3,11.1,9.6,1.7,22.6,4.1,5.2,4.5,3.1,15.1,3.2,13.6,4.1,8.5,2.7,8.5,4.7,0.5,21.3,3.0,2.7,4.1,10.7,4.1,6.0,12.5,0.0,5.5,8.2,5.3,11.4,1.0,7.8,0.7,0.4,5.7,10.3,6.8,15.7,3.4,16.6,4.3,10.0,8.2,2.3,16.8,5.6,18.7,7.3,2.5,2.4,12.4,15.9,2.0,7.4,6.9,9.8,7.9,8.0,12.0,8.3,2.7,5.4,14.4,1.4,5.7,3.4,5.6,6.3,1.0,3.5,11.1,12.7,22.5,0.0,11.3,6.4,3.8,11.2,16.2,12.2,9.1,2.6,4.8,1.7,1.1,20.4,1.9,4.9,12.8,11.9,4.8,17.5,11.5,25.6,15.0,4.0,0.0,4.4,2.8,11.6,23.0,5.3,7.2,10.6,21.9,19.8,8.6,1.6,12.7,4.2,3.3,1.0,6.2,2.9,8.4,15.5,4.7,6.4,11.0,14.1,2.0,9.2,4.4,15.5,0.7,15.2,3.1,25.0,15.6,20.5,5.1,6.2,1.6,8.8,3.2,9.1,13.2,3.4,16.5,18.9,7.1,8.3,17.2,14.1,0.8,1.3,5.3,5.6,6.8,20.1,3.8,2.0,6.8,13.7,2.9,3.8,11.2,8.0,17.5,2.6,8.9,10.6,3.6,13.4,4.6,0.2,12.7,5.1,9.2,5.0,7.1,5.4,4.6,3.5,14.7,4.0,18.5,3.4,18.6,7.2,9.2,14.1,11.0,5.3,4.3,3.3,5.0,4.4,20.1,5.0,5.6,10.2,4.3,15.3,1.9,8.7,7.9,15.9,9.0,6.6,3.2,5.1,14.0,8.0,10.1,10.2,17.8,11.0,11.7,3.1,3.6,16.5,0.5,4.5,16.8,14.1,12.7,21.4,11.7,6.1,12.8,11.3,5.0,1.6,18.0,9.1,3.3,8.3,7.6,6.7,0.3,1.5,5.3,2.9,12.6,7.5,1.7,13.1,13.2,9.6,25.3,5.9,7.1,12.5,6.6,9.2,8.7,7.6,9.9,4.0,7.2,1.6,9.8,2.5,8.1,7.8,7.3,6.5,10.7,3.1,4.2,10.5,15.3,18.6,7.4,5.6,4.2,0.9,4.7,4.4,9.8,14.0,3.6,2.4,4.4,6.0,8.6,27.7,14.9,20.2,23.5,2.7,7.1,16.5,10.2,3.2,10.0,4.1,7.9,8.3,13.5,5.6,2.0,21.8,14.4,3.1,9.7,25.3,4.1,7.4,8.4,3.3,13.3,5.2,3.6,2.6,5.4,1.7,9.2,11.7,10.5,18.2,0.5,2.0,1.8,3.1,5.2,3.5,1.0,14.0,16.4,2.2,5.3,11.7,9.6,5.6,9.8,5.0,3.3,4.3,3.8,26.7,7.3,4.4,3.8,6.3,4.9,2.3,8.5,19.2,4.4,7.2,8.6,13.7,11.2,2.0,5.6,14.0,24.1,1.0,2.3,6.8,7.1,8.1,14.5,4.6,17.4,12.4,11.7,6.7,2.5,10.4,5.4,13.3,5.3,1.6,11.2,4.3,13.7,6.7,18.3,1.5,3.9,11.8,1.7,17.4,5.6,1.3,5.9,17.4,11.7,10.2,10.5,2.0,4.7,1.0,12.8,6.4,3.7,5.5,9.8,4.0,6.6,8.8,4.3,7.7,6.5,2.2,4.1,15.0,10.3,6.7,22.3,4.2,2.5,9.5,2.5,7.2,1.4,2.2,9.7,0.0,2.1,2.4,5.2,9.8,2.0,9.6,15.7,10.8,11.7,3.9,7.5,7.2,25.5,13.3,10.6,8.0,1.6,2.8,4.4,0.3,4.1,8.5,18.9,17.3,7.8,18.8,5.5,6.3,0.4,2.3,5.5,1.0,8.6,2.8,11.3,5.5,5.8,16.4,11.3,22.9,3.8,5.4,11.6,9.4,4.3,13.1,3.6,12.2,4.2,5.9,4.9,14.2,10.6,8.9,0.7,2.0,0.7,13.2,4.3,15.6,1.8,1.9,7.1,12.3,3.6,8.4,0.9,10.1,2.4,1.1,0.0,10.8,4.9,7.9,3.1,5.8,0.7,2.3,15.8,9.5,13.8,10.1,1.7,6.4,5.9,8.9,2.9,1.8,11.8,10.2,11.7,9.3,4.2,13.8,12.9,15.4,15.1,11.3,9.6,0.0,3.7,1.2,3.2,12.5,11.6,8.4,11.3,2.0,6.4,11.5,9.5,1.0,5.8,5.9,10.9,1.6,1.8,2.8,9.9,4.5,4.8,12.5,9.1,9.7,9.3,19.2,0.0,1.1,1.8,2.5,5.2,9.8,12.8,19.1,12.5,6.9,2.3,1.0,15.0,9.0,22.6,2.9,5.4,4.6,19.8,13.1,2.0,3.8,18.0,5.3,15.0,9.6,7.0,5.8,10.5,9.5,9.3,12.0,6.4,2.9,20.7,2.5,19.5,9.7,12.4,2.2,8.5,10.8,7.1,17.5,10.6,7.2,9.6,6.0,19.2,12.4,14.2,3.9,3.9,1.5,2.4,11.3,4.4,5.2,5.9,1.4,4.5,12.5,6.1,7.6,4.7,15.2,5.2,4.1,7.4,7.2,12.0,2.0,17.2,1.7,18.7,6.6,3.2,8.9,22.1,20.6,13.7,10.3,5.4,5.5,2.7,2.9,3.5,3.0,11.3,4.0,8.8,21.8,8.8,5.0,21.6,2.0,4.9,2.7,9.4,13.0,0.1,4.2,20.6,3.8,3.3,4.6,9.9,11.0,3.7,5.6,3.5,2.6,2.1,6.3,3.0,8.1,21.0,5.6,0.6,7.5,0.0,4.9,3.2,5.3,5.5,4.5,6.8,6.0,11.1,3.3,1.6,11.4,3.5,2.0,3.9,15.0,2.8,2.2,14.6,9.1,9.6,2.9,1.1,14.0,18.1,16.7,9.5,1.9,7.4,12.8,20.1,4.6,10.4,4.6,2.4,0.8,5.2,18.7,2.3,0.4,3.7,11.3,11.0,7.8,3.2,14.2,11.4,1.9,3.1,8.3,3.0,11.6,9.2,10.6,5.4,11.9,14.8,5.5,6.9,3.6,3.0,12.8,2.1,8.6,19.0,23.6,16.1,2.3,3.4,1.6,3.3,8.9,6.4,4.2,4.5,6.9,2.2,2.6,12.7,12.3,4.8,6.1,3.4,13.2,20.4,3.5,3.6,11.2,2.7,13.7,4.5,14.2,19.4,16.6,12.1,17.4,10.3,7.7,5.4,7.1,12.6,6.8,3.8,5.5,13.9,13.9,3.1,7.5,2.7,3.6,1.4,4.3,10.8,8.4,1.9,2.4,8.2,3.2,16.4,9.3,11.9,16.5,5.6,11.3,6.0,2.0,10.1,7.8,11.6,2.6,5.5,5.3,9.4,5.3,7.6,13.7,6.0,6.1,3.0,5.9,4.5,5.7,8.2,18.3,9.8,6.1,3.5,9.1,4.8,11.0,5.5,10.6,4.5,4.6,3.6,2.4,3.2,9.6,14.7,9.8,5.2,12.5,6.2,5.0,5.4,15.4,9.3,12.8,1.6,4.8,3.6,12.7,7.7,3.6,5.1,8.8,7.1,11.5,1.3,7.6,8.4,18.8,3.4,2.0,4.2,7.5,7.5,16.3,1.1,4.7,8.7,4.5,14.7,10.4,10.2,4.4,4.6,10.5,2.9,1.9,4.4,8.7,2.8,2.3,18.8,13.5,1.6,4.3,1.4,1.5,5.0,2.6,7.6,11.4,7.7,16.8,9.1,3.6,8.2,4.7,5.6,12.7,4.4,15.6,1.3,6.2,6.5,11.6,9.9,15.1,9.1,3.6,1.4,2.0,7.4,5.0,4.9,7.9,2.9,2.1,12.6,2.3,1.0,1.7,2.6,14.6,0.0,2.0,2.3,3.6,14.9,7.7,15.5,5.1,2.9,12.1,1.8,15.3,3.3,0.3,6.7,12.9,12.6,9.7,14.6,11.8,4.9,2.4,18.7,9.8,7.4,3.2,6.9,10.2,7.8,6.6,2.7,4.2,4.9,15.4,10.9,8.8,27.1,5.5,27.9,12.5,6.6,4.0,7.9,13.8,17.1,28.0,5.2,12.1,10.2,11.1,5.1,26.0,3.0,15.8,8.1,6.3,1.9,1.3,4.1,4.0,2.5,8.8,21.7,14.3,6.6,1.4,18.5,2.7,3.6,3.4,2.8,3.2,6.7,2.6,1.3,16.2,5.6,13.2,6.6,23.2,4.6,6.3,4.2,12.1,0.0,11.0,22.9,6.2,7.3,18.2,12.7,6.6,8.0,10.5,3.2,4.5,1.9,18.6,2.3,10.4,5.0,4.0,1.3,6.4,13.7,14.4,10.8,5.2,7.0,11.9,10.9,5.3,3.7,9.8,3.1,10.7,1.3,11.3,11.5,4.0,5.3,3.0,2.7,13.9,0.8,13.4,6.4,1.3,7.9,8.0,14.8,4.0,9.8,0.3,6.3,13.0,3.9,15.4,5.9,6.7,1.7,1.0,1.7,11.3,6.7,5.2,11.6,8.9,7.7,2.0,14.6,18.5,3.8,3.1,3.9,10.4,4.6,7.6,14.8,4.8,10.3,17.8,1.0,2.6,11.0,7.5,8.9,20.3,5.5,2.6,5.3,9.5,5.3,11.7,4.6,16.7,7.0,0.9,7.9,15.2,4.8,2.2,1.6,17.4,7.4,5.1,8.0,5.8,0.9,2.5,1.9,10.9,11.6,4.1,8.8,22.5,21.1,4.0,8.8,2.5,4.7,9.8,5.8,2.5,26.8,5.2,1.9,14.1,6.7,12.8,3.9,27.3,16.6,7.7,2.9,8.8,6.0,2.0,17.5,17.7,1.8,0.0,4.7,3.0,11.9,4.2,17.7,11.5,3.0,11.5,2.0,7.2,28.1,14.8,3.0,18.3,14.0,0.9,9.1,4.4,6.1,4.2,3.4,1.2,16.5,6.1,4.8,4.6,0.9,3.5,12.9,19.2,3.8,13.1,2.6,12.6,5.1,10.5,10.6,16.3,13.1,2.8,5.6,15.3,10.1,4.0,4.0,6.4,3.5,5.6,10.4,14.3,13.7,14.6,5.0,2.8,4.9,1.3,11.8,5.4,14.1,11.1,9.6,1.8,7.7,12.7,8.6,5.3,8.2,2.1,8.3,11.4,7.2,10.3,4.2,0.0,8.2,12.4,5.5,10.1,9.0,5.5,5.3,7.1,6.0,2.0,7.7,4.5,4.3,7.2,9.7,7.2,8.5,17.0,4.5,13.2,5.3,13.3,1.2,2.4,5.5,5.1,9.5,14.2,7.0,15.5,7.7,15.1,7.3,3.3,7.8,21.2,17.1,6.0,3.7,0.7,5.1,5.3,18.9,9.4,12.0,3.4,9.9,14.7,0.7,14.7,17.3,2.0,4.0,3.5,5.7,9.2,3.3,2.9,3.3,17.1,2.1,18.1,14.1,16.0,2.2,2.5,6.5,2.0,10.9,1.2,6.0,12.9,0.6,1.1,6.0,6.9,10.5,8.2,10.1,10.9,4.0,3.9,12.8,14.6,6.1,2.0,3.1,1.6,5.1,25.9,3.8,6.0,4.0,6.1,3.7,6.9,2.8,9.2,2.4,2.9,2.0,5.0,3.2,6.8,2.4,6.6,11.3,12.7,14.1,18.1,9.1,5.0,3.5,16.5,14.7,13.9,5.4,1.5,8.8,3.7,2.7,16.5,4.5,6.2,9.2,11.2,2.0,8.2,2.8,4.8,18.0,5.8,13.9,8.5,8.7,17.5,13.3,5.8,7.0,3.5,7.1,19.4,4.1,3.7,4.0,13.5,7.7,2.8,5.1,17.4,17.8,7.3,10.7,7.0,8.6,10.3,14.2,10.6,10.0,10.3,7.9,13.0,9.6,12.7,12.4,5.8,0.0,7.8,0.5,9.4,14.1,6.8,11.2,10.8,4.5,7.8,4.7,2.4,1.0,2.8,3.4,19.0,6.4,0.0,5.4,2.3,2.5,5.4,10.5,8.7,0.0,2.3,4.0,0.0,6.1,12.0,18.5,17.1,16.2,13.4,5.3,2.2,16.2,10.6,28.7,10.4,6.6,15.5,1.9,6.8,9.4,8.4,4.9,12.1,16.6,2.8,2.9,3.9,3.6,10.5,16.9,1.4,4.1,4.2,0.7,2.7,8.7,6.8,13.9,1.0,8.3,4.9,8.7,7.2,8.6,11.9,7.9,16.3,1.4,2.6,3.5,0.2,2.9,2.1,3.0,3.0,18.2,3.0,7.7,14.9,4.2,20.7,9.4,2.1,17.9,15.5,2.8,11.1,9.1,17.1,9.4,5.2,9.1,8.8,4.9,0.9,24.1,10.2,13.8,10.2,10.1,3.7,13.1,4.0,2.7,9.7,6.2,9.6,2.7,4.5,13.2,8.5,12.3,6.3,4.9,2.7,2.8,2.3,3.5,7.0,6.6,17.9,21.7,17.4,11.7,13.5,2.7,9.9,13.1,2.3,0.0,20.7,1.2,3.0,8.2,9.1,6.3,0.0,4.4,9.6,4.0,11.4,18.2,14.0,10.4,2.0,6.4,22.7,22.7,11.1,3.7,5.2,5.9,5.0,12.3,2.0,4.2,13.7,27.4,10.5,1.7,5.6,5.3,16.6,11.1,4.6,6.7,3.8,6.6,1.6,16.2,3.7,6.9,6.3,10.4,19.1,3.0,0.0,6.0,2.2,6.0,5.3,9.5,3.0,2.3,11.9,13.8,2.2,1.0,1.7,3.8,8.7,3.9,14.5,5.7,4.9,4.4,17.6,11.7,12.8,6.8,14.4,5.4,2.7,1.1,13.0,4.5,16.7,1.0,8.4,2.0,3.2,16.4,4.9,1.9,13.3,5.0,7.3,8.7,5.7,0.5,3.8,4.2,20.8,9.1,8.4,6.1,3.7,0.6,9.3,7.7,17.4,10.0,13.6,5.0,8.7,4.0,4.8,9.0,4.0,14.6,3.9,1.5,1.7,15.1,0.5,2.5,6.6,8.0,2.3,1.2,19.8,4.1,21.8,20.0,0.0,0.0,10.8,4.8,2.4,0.3,14.3,13.9,11.1,5.4,2.3,1.0,2.8,2.2,9.4,10.2,15.1,8.2,4.8,17.9,6.3,10.9,12.1,6.0,13.0,3.3,3.3,6.8,6.9,1.7,24.0,13.2,1.3,1.7,7.5,5.6,10.4,1.4,8.3,3.4,6.4,13.3,8.0,2.3,1.2,13.8,23.2,20.8,9.6,6.2,17.9,12.0,8.4,7.4,4.9,3.4,3.5,3.6,4.7,2.0,6.9,13.3,9.5,4.1,1.1,3.2,9.7,4.5,7.7,4.7,27.1,7.5,9.9,7.4,9.1,9.7,6.4,2.7,13.8,9.8,9.8,9.7,11.4,13.2,7.1,14.6,12.3,8.1,1.9,1.0,16.0,5.0,6.3,7.6,3.5,10.4,2.0,2.5,4.5,6.8,3.3,16.9,0.0,2.9,8.5,4.0,16.4,14.3,0.9,3.3,12.8,2.0,8.7,17.7,11.4,8.0,13.7,6.0,5.9,4.3,32.0,6.5,26.1,19.1,4.7,12.1,9.1,18.4,3.4,3.2,4.1,6.7,16.5,3.3,8.0,6.1,8.5,12.5,3.6,7.9,9.3,5.6,13.1,12.6,9.7,15.7,0.8,3.3,11.1,3.1,3.8,5.2,19.3,6.2,4.2,11.3,11.0,10.1,15.8,15.9,4.7,3.0,8.4,14.0,5.7,2.4,1.8,10.5,10.3,15.8,14.0,5.1,6.8,2.4,9.4,2.9,20.3,16.2,4.8,15.2,2.9,3.5,2.9,9.6,4.3,0.4,9.5,11.2,0.3,2.6,15.4,7.9,3.1,0.0,3.5,15.9,2.3,21.7,2.3,5.5,5.0,3.6,6.2,1.2,8.3,18.3,19.0,6.3,4.8,0.5,5.7,3.4,0.0,6.0,5.7,12.3,17.7,3.1,3.0,7.6,1.7,4.2,4.9,14.2,1.1,1.6,7.2,10.4,3.8,0.3,19.0,9.7,8.6,17.9,3.8,9.6,3.8,7.1,1.0,4.2,11.3,17.2,7.2,16.7,7.9,2.5,4.8,8.1,7.4,13.0,14.2,6.0,3.0,3.5,6.7,4.6,20.3,3.7,8.4,11.8,15.2,14.5,7.0,17.5,4.6,1.1,18.6,12.1,10.1,25.4,1.5,2.2,6.9,5.8,0.7,11.7,6.4,1.9,13.5,3.8,8.4,11.2,1.6,9.0,1.8,2.3,18.6,21.8,7.2,6.6,14.0,7.2,11.9,4.0,2.2,10.4,4.0,2.0,5.9,4.2,12.0,3.1,4.6,2.7,12.0,2.7,9.1,12.4,10.3,2.0,5.3,4.3,6.9,7.9,0.0,16.5,6.0,14.8,4.5,3.5,17.6,3.1,0.0,7.8,3.6,20.0,7.2,11.1,2.7,2.9,5.0,1.8,17.3,2.7,3.9,7.0,5.6,4.7,2.0,14.4,4.2,6.6,12.6,7.1,1.8,11.8,3.8,7.3,5.0,25.3,7.1,8.2,3.6,4.9,15.5,9.9,1.0,9.4,4.1,4.0,14.0,4.2,23.4,21.7,6.0,5.2,12.7,1.8,25.4,6.9,16.4,20.0,11.2,13.4,5.7,21.7,22.3,5.2,4.2,8.0,2.2,12.1,17.8,5.8,3.6,6.3,6.1,1.5,12.7,5.0,4.0,2.2,2.1,16.3,19.3,9.7,1.1,2.0,1.9,0.8,9.5,10.1,11.8,3.7,8.0,7.3,15.9,12.1,11.9,16.1,8.9,5.3,2.8,2.7,15.5,17.0,13.4,0.7,3.4,11.5,12.0,9.5,4.4,3.2,2.3,1.5,3.9,3.4,10.1,8.8,2.4,1.9,8.0,4.6,1.8,7.2,13.3,3.0,12.0,3.3,9.1,3.4,8.0,0.0,3.5,2.7,15.0,15.9,2.6,4.4,6.3,7.0,4.1,4.4,7.9,9.2,16.4,6.1,7.5,7.6,16.4,12.1,5.2,2.6,4.6,11.9,12.3,1.7,7.7,1.0,15.8,8.3,5.0,27.4,4.3,2.6,4.6,17.4,2.9,5.4,0.7,8.9,4.3,5.8,23.8,4.3,5.4,1.8,6.1,10.3,6.0,7.5,11.7,9.8,5.3,14.1,7.7,5.7,4.8,5.9,10.6,21.1,8.4,2.5,28.1,13.7,3.0,6.4,1.1,4.0,8.4,14.3,4.6,0.0,13.5,5.1,6.2,4.0,5.5,8.2,13.9,5.2,4.2,11.0,2.4,17.9,5.8,10.0,9.9,15.9,10.3,6.8,1.9,5.9,13.9,2.2,10.1,16.1,8.3,1.8,3.1,2.0,16.6,10.2,11.5,9.7,17.1,4.3,8.6,14.4,6.0,16.9,1.2,3.9,12.8,7.2,12.8,8.5,3.7,15.2,3.7,3.6,5.9,0.0,5.1,12.6,8.7,4.9,7.8,4.0,1.6,8.5,6.3,14.2,18.9,2.1,5.7,1.2,11.0,9.9,4.2,4.1,2.6,13.4,9.4,2.0,9.4,15.8,10.9,12.2,9.2,10.4,7.8,7.9,10.2,0.9,15.3,10.4,3.3,7.4,8.7,10.1,3.7,4.8,3.5,5.9,8.8,14.6,4.4,10.5,10.2,19.3,7.2,8.9,6.3,8.7,7.7,7.4,3.7,1.9,2.9,3.7,1.9,5.8,5.3,10.3,4.4,13.5,4.6,9.6,14.5,5.9,3.5,4.3,3.3,7.6,11.4,1.3,7.3,8.9,6.0,5.6,9.1,4.1,10.1,1.5,8.0,6.9,18.5,8.8,16.7,11.9,5.7,12.5,8.3,11.9,2.0,6.6,13.3,3.8,7.0,13.9,6.2,12.1,7.7,2.8,4.8,21.9,9.0,8.7,15.3,4.5,7.3,5.3,15.4,17.0,0.9,1.6,6.7,17.2,1.3,5.3,10.0,6.8,13.5,2.0,0.6,10.6,7.2,5.6,10.7,2.7,5.1,11.6,5.2,6.7,15.2,16.6,5.6,7.4,13.9,6.3,10.3,6.5,3.3,6.3,4.5,9.3,9.8,0.8,13.8,7.8,4.4,3.4,14.8,0.4,6.3,4.9,16.9,5.2,24.4,11.5,11.8,0.8,5.9,2.7,0.0,11.7,11.5,1.9,20.1,24.1,12.6,10.0,13.0,16.0,17.7,8.3,8.8,7.9,2.3,11.8,17.3,7.4,12.0,4.6,3.0,11.7,1.9,8.7,15.8,3.1,21.5,24.2,2.7,3.7,16.1,5.4,2.2,5.4,1.7,19.1,8.6,5.7,1.6,2.7,6.2,15.7,6.8,6.3,7.3,1.6,6.6,21.1,7.6,5.3,11.5,5.5,4.8,5.2,6.3,12.4,4.8,21.0,11.7,0.4,9.5,10.1,6.8,3.7,0.6,7.1,11.7,9.1,10.0,11.5,8.4,7.5,5.0,12.0,12.8,2.5,6.4,14.1,6.1,10.3,9.7,9.1,10.2,13.5,4.5,16.6,9.6,12.3,7.0,5.9,12.7,5.1,7.2,10.6,5.6,8.7,3.6,18.2,4.5,11.8,10.0,8.5,14.9,7.3,2.1,15.3,11.1,1.6,0.0,10.3,3.6,7.1,8.2,1.3,12.2,5.1,6.2,3.3,1.3,9.2,1.2,3.2,3.1,28.2,14.5,11.6,12.5,2.5,3.7,20.9,3.7,10.0,1.2,21.2,18.3,16.0,2.4,6.4,4.5,2.6,3.8,11.3,16.8,6.0,6.6,3.6,2.8,7.8,7.6,8.2,2.2,9.3,1.8,15.3,1.8,2.5,6.4,25.3,5.4,5.5,7.6,8.2,8.3,2.4,18.0,3.9,19.6,4.8,21.2,9.2,4.5,14.3,6.5,2.6,6.8,17.6,22.1,3.0,18.2,3.4,4.0,4.4,3.7,14.7,6.3,6.4,5.1,8.6,2.0,5.6,4.3,3.0,15.1,6.4,1.8,8.7,9.9,2.9,3.4,8.6,11.0,6.1,8.0,2.4,1.8,30.1,8.1,6.0,4.8,8.7,2.5,8.4,5.3,14.0,5.7,4.7,7.0,14.4,12.5,6.9,7.7,6.6,16.0,1.6,4.2,11.9,7.2,6.1,8.7,2.4,4.5,5.7,5.6,7.8,6.1,10.6,5.9,12.7,8.4,15.2,11.8,4.2,1.6,18.8,3.3,9.5,3.3,5.9,2.7,3.1,5.9,9.9,4.0,11.9,2.7,5.5,5.2,6.1,17.1,23.1,16.5,8.5,6.9,9.9,1.1,2.5,8.0,6.2,11.6,3.3,8.6,5.6,12.8,6.3,7.3,3.7,10.5,6.8,2.4,12.6,11.1,4.9,0.9,0.0,3.7,10.1,4.2,17.0,23.5,1.5,9.1,17.2,5.9,5.3,5.8,8.9,14.5,10.3,3.5,3.4,1.3,4.0,8.8,12.8,12.7,20.4,15.2,1.0,1.4,10.4,15.4,10.5,7.0,7.5,7.3,12.3,9.8,12.1,8.9,8.7,16.9,3.8,14.1,19.7,10.1,15.3,2.4,5.7,4.1,1.6,1.8,10.7,26.9,11.0,3.8,11.0,14.1,16.4,16.4,9.3,13.8,7.6,2.1,4.4,11.7,9.8,7.0,6.2,9.4,14.0,2.7,6.0,13.7,5.8,19.0,7.5,6.5,2.3,18.3,14.2,6.5,9.8,5.7,1.0,12.8,7.2,5.9,3.1,1.8,11.7,15.7,4.3,9.7,2.4,2.4,8.8,5.6,10.4,1.5,20.9,4.3,7.3,0.6,4.2,12.2,3.8,0.9,15.3,11.7,23.5,10.3,2.7,3.6,9.3,5.8,11.0,22.2,12.6,10.9,5.9,0.0,16.3,12.4,5.1,7.9,7.4,14.1,14.2,17.5,14.2,7.7,3.5,7.2,29.0,5.0,3.7,2.9,1.0,5.1,2.1,12.7,7.1,16.2,7.0,3.7,4.8,6.6,5.4,2.8,6.9,20.7,1.5,4.0,24.3,2.6,5.6,8.9,6.3,12.8,8.9,15.2,3.6,7.8,4.7,5.5,21.4,5.5,7.0,5.3,11.2,7.3,4.5,11.4,9.2,15.5,3.5,6.0,12.8,4.4,8.5,3.0,19.9,4.1,7.0,5.8,7.9,0.9,2.5,15.2,12.0,10.2,5.0,2.9,13.3,9.0,2.8,6.0,10.3,9.2,4.5,6.4,6.9,3.6,2.0,1.8,1.3,7.0,8.7,5.5,7.2,2.8,8.5,2.0,9.6,19.5,3.4,7.5,13.0,25.1,1.8,2.3,19.5,7.2,6.1,7.5,14.0,4.0,7.8,13.2,17.4,4.7,2.9,0.8,7.2,6.9,19.6,4.2,4.4,20.6,0.5,1.0,5.6,4.3,20.8,2.8,11.8,1.9,5.0,9.8,21.8,3.7,13.7,6.1,5.1,4.1,3.9,19.1,2.1,3.0,8.6,13.8,2.9,8.0,15.9,1.9,3.5,8.4,10.3,3.5,7.3,13.7,4.3,9.9,6.2,3.2,8.2,6.2,5.0,10.0,11.7,2.1,8.5,10.1,9.1,4.9,2.7,16.1,6.4,8.1,7.4,10.5,2.7,15.4,10.2,4.9,7.0,3.4,1.5,4.4,1.7,6.0,14.1,14.7,6.2,5.1,6.2,3.8,10.2,6.1,14.1,18.9,10.0,15.7,8.2,5.3,8.1,13.7,13.5,12.0,1.9,14.5,7.1,2.9,13.1,3.0,6.5,2.9,1.6,13.6,31.6,14.0,18.7,4.6,1.0,14.8,8.7,7.2,6.4,12.7,10.4,12.9,11.1,9.8,5.7,4.5,14.5,4.5,6.7,4.1,7.8,12.8,9.9,4.9,4.0,5.0,11.0,7.2,5.5,11.0,10.8,5.7,5.7,10.8,14.4,6.9,11.3,0.6,1.2,25.3,4.4,6.2,7.3,7.0,8.8,7.8,3.0,8.2,5.1,4.1,4.9,13.2,7.1,6.9,2.7,10.8,10.5,2.8,14.0,10.6,6.6,4.9,14.0,9.2,8.7,1.9,19.5,11.2,7.1,7.6,10.0,3.1,2.3,5.4,9.4,6.6,0.4,9.2,20.5,5.2,10.4,7.5,2.0,3.8,18.1,3.4,10.1,22.4,6.3,2.8,0.9,25.2,17.3,1.8,6.8,6.0,7.9,7.1,0.8,2.9,26.4,6.3,17.5,6.1,4.4,5.1,4.8,7.6,3.6,10.2,5.4,1.4,2.5,6.2,1.0,0.2,12.7,5.0,2.2,6.6,22.3,14.7,2.5,4.7,19.0,25.1,13.8,3.5,11.0,23.2,6.3,7.4,9.0,4.0,25.5,25.1,4.2,10.2,10.9,7.7,4.0,9.6,14.0,8.1,8.7,2.5,6.3,6.4,8.5,9.1,14.5,6.2,9.1,8.7,1.7,13.2,15.1,2.8,3.3,9.5,16.7,10.6,14.6,4.4,8.4,3.3,2.8,2.7,5.2,13.4,6.7,4.2,2.5,3.5,5.2,6.2,0.0,6.2,6.6,7.3,18.2,1.3,1.8,27.0,1.9,9.0,7.9,15.6,12.8,4.8,9.3,4.5,1.7,10.3,12.6,2.7,18.1,2.3,2.3,2.8,5.1,5.3,10.8,6.4,13.2,3.3,14.2,15.8,1.4,1.6,5.1,6.7,22.1,6.1,18.0,5.3,9.5,11.0,5.1,17.9,2.0,5.6,3.4,8.9,27.0,27.3,2.7,2.5,12.7,4.5,4.6,6.0,7.3,9.1,5.9,6.2,8.2,12.0,8.4,4.9,0.5,7.3,7.1,5.5,28.0,3.9,5.0,23.6,2.6,16.3,5.9,6.6,7.6,13.6,1.3,6.5,0.8,10.7,5.3,10.7,8.0,6.0,6.7,2.9,2.8,0.0,8.1,5.2,1.0,10.7,23.0,4.5,10.6,2.6,1.6,20.5,1.3,3.1,3.5,4.2,11.0,7.1,9.4,5.6,6.8,23.1,4.6,13.7,6.8,2.5,5.5,21.6,6.0,5.8,22.4,4.6,4.4,9.0,5.0,23.9,11.0,5.9,14.5,9.7,5.5,2.9,15.3,9.2,6.6,4.1,9.1,5.7,3.0,1.5,3.9,4.8,3.4,6.8,2.3,2.8,2.8,12.8,29.1,6.7,4.4,8.2,7.1,9.2,2.0,7.8,0.0,5.6,5.8,4.4,5.5,3.2,18.1,23.7,12.4,9.5,6.8,4.0,9.5,0.0,2.5,3.5,23.1,0.4,1.8,6.8,5.4,20.2,1.8,1.3,2.1,9.2,4.3,9.9,3.1,5.6,0.9,16.9,3.3,2.0,14.9,7.8,2.9,11.7,9.0,17.2,13.1,5.6,16.2,14.3,11.0,1.5,12.8,4.0,4.3,9.6,18.3,6.7,13.5,10.2,3.4,21.1,9.2,22.9,6.1,2.2,11.8,13.9,20.1,6.1,8.9,8.6,15.0,10.9,7.5,9.4,7.4,28.9,0.8,4.6,7.5,5.6,6.8,5.1,3.2,17.0,19.2,2.3,11.7,10.0,21.9,20.3,12.3,3.8,18.5,8.5,11.4,8.5,16.6,7.4,3.3,11.0,6.5,7.8,5.9,20.5,11.6,12.0,14.3,11.0,5.8,10.0,2.0,8.4,24.9,1.0,3.2,1.8,8.4,3.1,12.3,10.2,15.2,19.4,1.1,12.5,8.0,5.3,2.6,5.9,2.0,17.3,4.1,26.9,2.9,12.1,2.1,1.0,10.0,3.0,17.5,8.4,1.6,8.6,5.9,7.9,11.1,8.2,17.8,10.9,0.0,2.1,18.0,17.7,14.1,8.6,4.4,12.7,2.0,8.1,13.5,25.2,5.3,0.6,7.1,13.9,18.6,2.4,0.0,4.0,4.9,0.5,5.0,7.9,3.9,16.2,12.1,8.8,2.3,10.0,21.4,5.5,13.5,6.9,2.2,13.0,2.4,2.8,2.3,5.2,16.1,7.9,12.0,5.6,15.5,23.0,5.2,1.7,12.0,11.6,3.0,5.9,6.8,3.3,7.9,1.1,12.4,2.8,7.8,10.3,14.6,8.1,5.7,8.6,15.3,5.3,2.0,4.1,10.7,1.7,26.9,1.7,1.8,1.0,10.2,6.6,5.4,2.4,14.0,7.5,8.2,7.7,0.0,3.2,7.0,2.8,1.6,2.7,10.8,30.4,7.1,5.1,4.9,5.7,16.7,10.3,4.6,5.0,22.6,14.3,11.8,13.2,2.5,6.0,21.4,5.7,15.8,0.0,3.4,7.5,3.3,14.5,12.7,5.8,5.4,4.8,8.7,19.4,2.3,8.8,10.5,4.1,1.5,3.9,6.8,4.4,10.8,6.3,1.7,22.2,7.9,8.4,18.0,12.9,2.0,8.4,1.5,14.2,10.8,13.9,4.7,4.8,6.9,14.3,15.1,2.3,6.9,1.0,6.3,9.7,0.8,0.7,5.7,12.6,3.0,4.8,10.3,4.7,8.3,17.1,11.6,3.7,5.6,10.9,6.3,15.2,6.6,4.4,8.6,4.4,1.2,4.8,7.4,4.0,17.6,6.7,8.0,3.0,3.4,6.0,1.4,7.9,8.9,28.1,3.0,3.7,17.7,4.6,9.5,1.5,5.0,12.0,18.9,6.0,4.6,13.2,1.5,1.0,8.5,3.6,4.7,4.1,7.7,4.0,9.3,7.0,12.9,4.2,15.0,22.9,11.5,4.6,5.1,6.5,9.7,19.4,6.7,7.8,0.6,0.0,4.1,7.2,4.7,6.3,8.9,5.8,11.7,0.6,23.1,5.4,0.0,5.8,0.5,10.0,5.1,4.6,12.8,15.7,12.7,3.7,9.3,11.2,3.4,5.4,1.5,0.0,9.9,12.8,6.3,11.3,8.7,3.1,14.1,3.5,12.2,2.9,19.6,6.3,13.9,4.0,26.4,8.7,12.6,2.4,8.2,10.2,11.8,4.8,11.7,4.3,4.4,4.2,6.9,7.7,0.9,4.7,7.2,18.6,5.8,4.2,1.3,17.5,3.0,1.5,4.4,16.7,14.5,20.1,17.2,8.4,12.1,1.4,13.6,2.4,10.2,7.7,9.6,1.3,7.1,11.5,7.7,3.7,8.9,7.7,2.0,3.2,13.9,10.2,2.3,22.6,7.5,2.5,0.0,5.2,7.6,6.7,2.0,3.4,13.0,6.3,2.5,6.7,8.7,1.8,7.1,11.0,5.4,12.7,0.4,3.0,6.8,6.5,4.4,2.1,7.3,11.6,0.0,3.0,1.2,5.4,3.3,9.5,7.1,3.4,1.0,1.7,4.3,6.5,5.4,3.4,13.2,4.6,9.2,17.1,9.3,7.6,8.8,4.3,9.5,0.0,3.9,5.4,5.5,12.2,6.2,0.8,16.1,3.3,19.0,0.7,12.9,0.0,2.6,13.1,2.3,6.7,7.9,4.5,6.9,4.0,6.6,23.1,9.2,4.1,6.2,16.2,8.7,15.2,27.5,6.4,2.0,7.8,14.3,3.6,11.5,11.8,22.1,3.0,5.9,12.9,13.4,26.4,17.6,4.0,4.2,20.1,20.0,6.1,6.7,13.4,22.7,7.9,3.2,9.2,16.1,16.2,7.1,1.9,24.4,1.1,0.5,13.9,1.7,21.3,5.7,14.7,6.1,14.6,1.0,11.3,6.9,4.5,2.3,4.9,8.3,3.8,9.5,2.0,5.9,4.0,14.6,21.9,10.1,10.0,3.9,4.0,12.2,5.4,7.3,1.0,15.6,5.5,3.3,1.2,5.5,6.6,4.3,8.7,5.0,12.6,2.7,6.3,1.0,4.2,3.5,2.0,5.9,25.4,13.5,9.3,5.0,4.9,16.5,11.5,6.5,13.1,12.6,1.5,14.7,5.1,6.0,2.4,13.9,11.8,3.9,1.0,6.9,13.5,10.8,4.0,18.0,16.9,3.2,8.5,9.5,2.5,13.3,12.7,8.2,15.4,11.3,4.3,3.9,3.7,5.3,9.2,17.0,6.9,1.8,1.7,12.6,28.0,3.9,9.9,3.6,2.6,7.6,6.9,11.2,7.6,0.9,8.9,13.9,6.4,27.3,16.8,4.3,3.0,1.0,7.5,4.0,6.5,4.4,10.8,6.4,9.4,15.0,3.3,2.5,6.1,3.9,4.0,6.7,2.5,22.9,15.9,13.7,5.2,7.9,6.9,12.5,9.0,8.8,3.6,9.4,13.6,4.0,3.9,0.0,23.7,5.3,6.6,5.9,1.0,6.0,7.3,11.9,11.5,12.2,3.4,2.6,9.2,11.1,5.1,7.3,5.0,3.2,25.9,7.8,1.5,3.8,18.1,3.2,3.5,0.0,5.7,17.3,3.9,2.3,10.9,9.6,0.9,4.7,5.0,10.3,6.9,10.3,10.9,1.7,5.3,19.1,5.7,6.0,9.5,5.7,8.9,20.0,4.6,18.1,5.3,5.0,1.6,10.5,4.5,12.6,3.8,8.5,15.1,10.9,2.5,14.3,1.9,1.5,7.4,18.8,2.5,6.9,3.1,3.5,10.2,7.7,0.0,0.9,10.9,6.2,0.0,0.8,5.3,6.2,4.8,7.3,16.0,6.3,12.8,10.6,15.0,2.1,11.9,5.8,2.9,2.3,10.6,5.7,3.3,14.8,13.7,15.9,16.2,1.4,6.8,15.1,6.8,7.3,8.1,4.0,1.8,9.9,26.6,6.3,6.7,4.7,10.8,4.0,7.5,12.0,7.3,14.1,2.0,23.8,4.9,0.0,7.5,7.3,5.0,7.4,3.3,18.0,8.6,5.7,1.8,6.0,6.7,4.1,0.0,7.5,0.9,3.0,3.5,6.0,1.9,4.0,8.1,8.9,5.8,8.9,10.9,3.0,18.1,12.3,5.1,7.0,3.7,11.0,5.8,7.8,2.9,12.9,3.7,2.7,7.6,0.0,4.0,9.2,27.7,4.2,13.7,11.5,6.4,5.6,5.3,2.3,16.4,7.0,11.8,2.6,8.3,11.8,20.7,2.6,21.0,6.4,2.0,6.3,5.0,13.7,13.4,13.0,5.2,7.5,3.6,5.5,6.0,1.8,3.3,4.3,0.9,12.5,6.8,5.6,8.1,9.9,3.3,8.9,3.9,16.9,6.5,4.4,24.5,7.3,14.2,14.1,18.0,4.9,3.9,25.6,1.4,18.3,5.1,15.6,8.2,16.6,11.2,3.6,6.5,8.0,1.2,17.3,5.0,11.0,8.4,21.2,16.3,11.1,1.0,16.3,8.7,3.7,1.7,15.5,13.6,8.2,10.6,9.4,6.9,10.1,16.7,4.9,6.5,4.0,4.0,21.1,11.7,5.8,6.7,2.0,5.4,25.8,4.9,10.7,3.0,5.7,19.8,10.3,3.0,2.8,20.0,9.4,12.0,27.4,2.6,9.9,2.1,20.0,5.0,21.2,9.7,7.0,7.1,1.4,15.6,3.5,11.3,8.9,6.6,13.6,5.0,10.5,18.7,4.2,9.4,9.1,17.0,6.3,4.8,18.3,2.3,21.5,0.0,3.7,1.0,11.3,8.0,8.6,18.7,14.2,3.5,23.8,21.3,7.2,4.5,8.4,13.9,8.9,8.8,10.4,16.6,4.8,13.3,1.1,9.6,3.6,4.9,2.3,9.3,5.9,20.1,15.2,20.8,8.4,8.6,7.0,0.0,5.9,6.2,7.3,4.2,3.2,8.2,9.4,4.2,14.9,10.1,7.8,5.9,7.7,6.8,12.8,1.5,7.0,4.8,6.7,8.3,21.1,7.0,5.8,7.5,4.4,5.9,13.9,9.7,11.4,3.2,13.0,2.5,15.7,12.3,12.1,4.5,13.6,15.3,9.6,4.2,3.4,6.1,4.4,3.7,18.7,7.1,6.4,2.0,0.8,13.7,3.3,1.4,14.5,1.3,11.9,8.2,7.6,5.5,9.3,5.1,7.9,18.2,6.7,36.1,7.8,2.4,4.9,2.2,2.7,13.8,4.2,10.9,12.1,27.5,19.5,2.2,21.4,3.7,10.5,7.2,1.7,12.6,15.6,9.9,2.0,24.4,26.6,5.0,10.0,15.2,25.6,10.4,6.1,11.6,5.8,21.2,16.6,7.7,5.6,0.0,4.7,20.7,4.6,6.5,3.8,4.7,6.3,26.0,15.6,6.5,3.3,16.8,2.4,5.9,3.0,2.3,7.8,11.5,9.6,5.9,2.0,6.7,9.5,9.1,2.5,5.8,3.1,4.9,0.5,4.7,7.2,5.9,14.2,9.3,0.0,3.9,9.7,12.1,4.8,2.8,12.9,16.7,6.3,7.5,2.0,10.3,11.2,1.3,16.5,6.0,15.8,2.1,6.1,3.5,7.2,19.6,19.9,1.4,6.6,4.4,3.6,5.7,7.4,11.5,9.0,2.8,3.6,12.1,11.0,1.2,8.7,18.6,9.0,5.4,3.5,9.7,13.0,6.0,4.8,14.4,9.1,9.3,2.4,2.1,5.3,28.8,6.8,1.7,3.5,15.3,20.4,18.7,8.2,9.1,6.4,6.5,27.1,26.5,5.0,1.4,1.7,17.6,11.3,4.8,1.4,1.8,2.5,5.5,8.3,2.8,19.5,6.0,5.3,19.1,13.7,2.0,8.6,8.8,9.3,1.7,12.2,2.0,18.2,11.8,6.4,25.3,14.7,10.1,10.3,9.3,3.4,18.9,27.4,3.5,19.4,3.7,12.8,1.3,5.8,1.0,7.4,20.4,7.3,1.4,2.1,20.9,4.4,3.4,10.0,17.6,6.4,6.7,16.0,2.4,10.6,4.3,10.4,12.0,6.4,7.4,8.0,4.4,3.6,29.6,5.4,8.0,4.9,9.9,19.6,7.8,15.8,3.6,4.7,13.2,3.6,2.8,10.3,2.2,18.0,14.7,3.9,7.5,2.4,12.1,3.3,1.3,1.8,7.0,14.4,3.0,22.5,1.1,2.0,25.5,7.0,2.0,4.4,5.9,6.1,7.2,0.0,15.1,7.4,5.8,2.1,11.3,5.1,1.2,1.9,5.0,14.5,1.9,3.0,7.4,1.3,2.9,1.0,13.5,5.7,6.1,3.3,4.6,5.4,5.2,12.4,13.0,12.3,11.9,8.1,3.1,5.1,7.1,14.3,1.1,5.1,3.1,11.6,21.5,11.6,4.9,4.6,7.9,5.4,22.9,5.8,12.2,6.9,11.9,1.9,7.6,11.0,3.3,2.5,7.0,19.8,6.5,3.0,9.0,10.9,5.1,20.8,0.0,2.4,20.6,5.5,5.8,8.0,4.9,1.5,2.3,19.0,10.3,12.4,15.4,3.4,6.4,4.2,4.5,2.5,27.2,13.5,15.1,10.8,6.3,9.4,9.0,3.6,1.0,4.5,8.0,18.7,9.2,5.1,6.7,12.7,30.0,5.6,3.8,3.6,10.5,23.1,3.9,4.5,6.4,1.0,20.8,11.1,5.0,13.2,13.9,13.1,3.0,17.6,4.9,5.1,6.6,3.2,10.5,4.7,10.7,12.3,5.8,2.3,18.2,6.0,1.8,26.6,11.3,2.0,18.1,8.5,9.0,2.7,6.8,5.5,18.9,6.9,10.9,18.2,1.7,3.6,22.1,5.8,8.3,7.6,12.3,21.1,15.4,5.2,0.8,5.6,1.7,2.0,2.8,15.9,3.0,8.6,8.8,11.5,5.8,1.0,26.1,4.4,8.3,21.8,2.9,4.6,17.7,3.2,0.8,6.5,4.6,2.0,4.6,8.0,5.5,4.2,15.0,4.3,11.9,3.0,2.9,10.1,10.1,16.4,7.4,15.5,7.8,11.0,3.3,15.4,18.7,10.9,8.8,10.5,2.4,6.2,6.4,22.2,19.2,11.2,16.2,4.3,8.9,12.0,1.0,7.3,23.8,6.1,12.1,30.5,6.9,5.7,20.2,15.1,10.1,6.6,3.0,11.1,6.3,24.0,7.4,3.4,2.7,9.2,11.1,2.7,1.1,17.4,0.7,1.5,8.4,34.3,6.6,18.5,5.0,5.6,2.0,8.2,5.6,9.1,8.1,10.5,4.4,14.0,6.6,6.8,4.6,17.8,2.8,20.3,15.3,2.9,23.4,18.5,8.8,11.5,7.6,15.2,1.2,3.2,11.9,14.9,1.4,3.0,2.2,2.8,5.5,21.6,23.0,9.8,14.5,0.5,2.8,19.9,4.9,5.1,4.5,8.3,12.5,7.1,12.0,10.9,3.8,0.0,9.4,8.3,9.7,6.3,3.3,18.5,6.6,14.0,6.0,14.4,14.9,8.1,7.3,4.0,10.0,1.8,8.3,4.8,9.4,7.5,5.7,6.0,13.5,4.9,8.0,6.7,10.3,9.5,7.7,4.3,9.2,6.9,6.3,4.9,9.8,12.2,0.0,17.6,4.7,5.0,4.2,1.9,7.4,0.4,6.9,14.5,6.9,8.7,3.4,7.4,15.5,17.5,2.4,10.3,5.4,3.7,10.4,3.9,8.9,10.9,5.9,29.5,11.7,3.2,16.2,9.4,9.3,4.8,9.3,13.6,25.0,11.2,14.6,14.0,7.3,21.2,27.7,7.5,8.3,3.4,11.3,3.7,3.2,15.7,7.2,19.6,20.4,16.4,6.8,6.4,0.8,1.3,20.1,12.4,2.8,12.9,17.2,26.9,13.5,4.1,1.0,8.0,3.1,19.0,13.5,16.2,7.7,9.7,4.2,12.7,8.3,1.9,10.2,13.5,6.9,8.6,5.6,4.1,8.8,11.7,2.4,6.1,5.0,13.4,13.1,12.9,6.7,2.8,1.2,6.5,14.1,5.3,10.4,3.9,3.1,2.8,5.2,3.3,16.6,0.3,3.9,10.1,4.9,4.1,21.5,14.1,12.1,28.5,17.6,4.3,20.6,17.1,2.0,2.5,4.0,18.4,2.4,22.3,6.7,11.0,11.5,0.5,0.4,14.4,5.4,2.3,12.8,5.0,5.3,7.5,8.8,12.6,24.7,6.1,9.0,26.4,3.6,12.2,5.7,2.6,24.8,2.6,4.5,12.8,0.7,13.5,15.4,19.3,14.6,8.0,7.2,9.7,9.3,26.9,11.9,24.8,1.1,2.5,1.2,4.1,9.2,13.4,5.4,12.1,17.7,5.7,12.0,7.2,10.5,7.2,3.9,5.4,2.3,6.8,11.5,24.1,7.7,14.3,1.3,12.1,2.9,10.1,0.1,14.3,3.8,1.6,16.6,6.4,19.5,7.7,7.1,5.3,5.5,25.3,20.4,2.5,15.6,8.7,4.5,6.7,4.4,32.0,8.2,7.6,8.5,1.7,8.6,15.5,2.5,5.4,9.0,9.5,7.0,0.2,3.8,2.9,9.4,9.6,11.2,3.4,2.4,4.8,12.7,0.0,5.3,7.8,6.6,5.6,4.4,27.4,3.2,27.0,2.1,0.8,19.8,2.4,6.6,5.0,7.6,4.7,10.7,0.6,1.0,3.8,4.9,5.4,1.0,13.0,1.7,6.3,1.1,4.0,15.1,2.0,2.1,13.0,9.7,3.7,12.9,7.7,21.4,6.8,7.5,1.0,5.2,9.2,10.8,23.3,9.0,3.4,4.1,10.9,4.6,4.1,15.9,2.0,3.8,11.2,6.5,5.1,0.8,11.0,7.7,4.1,6.6,3.0,26.4,23.4,0.0,18.6,1.5,8.1,4.6,5.0,2.3,2.5,7.0,11.4,13.8,22.2,3.1,5.6,12.2,3.0,2.2,5.1,4.6,11.1,12.5,23.7,3.1,5.7,4.5,1.5,6.9,17.6,5.4,8.7,2.0,2.4,10.9,3.3,10.7,14.2,8.6,8.5,6.1,8.0,1.5,9.0,3.0,8.0,7.1,8.4,15.1,15.2,7.8,21.0,2.1,16.4,4.0,13.6,6.3,6.5,4.4,4.3,10.4,1.9,1.5,4.0,13.4,20.2,3.0,8.4,10.8,9.6,11.2,5.0,23.1,4.0,2.3,9.4,24.3,25.2,11.5,9.2,4.1,17.4,13.7,8.7,8.8,3.8,9.5,13.3,9.6,1.8,7.0,6.7,6.5,28.8,4.7,6.0,4.1,5.2,7.7,19.0,1.3,8.2,12.9,16.6,10.0,1.5,19.3,21.8,7.8,18.6,1.2,4.4,14.9,2.6,3.2,2.6,5.2,3.1,6.6,6.4,1.9,8.2,12.7,4.4,14.2,1.1,6.7,4.7,7.2,12.4,24.6,3.1,5.5,1.5,0.0,2.8,8.8,12.3,3.9,0.5,23.8,4.9,10.3,31.3,5.5,2.2,17.0,15.0,16.4,4.7,11.0,5.0,14.3,7.7,18.7,1.8,6.4,7.9,0.0,6.1,11.2,11.4,9.1,7.2,5.7,7.0,7.5,8.1,2.8,16.1,11.6,0.0,10.6,4.7,2.6,6.8,19.6,13.4,5.1,5.3,28.1,6.9,8.7,15.3,2.5,9.9,3.1,5.5,7.6,8.4,1.0,11.4,2.0,9.6,7.5,21.2,2.0,7.4,1.3,7.4,12.6,8.6,5.1,3.1,5.4,11.3,4.8,10.1,5.5,7.3,8.1,4.6,19.1,7.4,9.0,6.7,7.9,8.7,3.7,5.1,6.8,9.1,7.7,19.6,17.2,2.7,7.1,14.8,2.0,2.1,5.5,4.3,25.6,9.2,15.4,14.7,6.8,8.9,6.5,6.7,15.4,6.3,10.2,15.7,2.1,14.4,6.0,5.6,21.6,20.3,26.4,5.4,10.4,6.3,5.6,6.6,9.8,6.1,17.1,9.5,17.8,12.2,11.2,1.7,16.0,10.1,3.8,2.1,9.8,13.6,7.5,7.0,5.8,13.1,2.7,10.9,7.0,5.9,5.2,4.9,2.3,9.2,0.3,6.2,18.3,7.1,11.1,10.0,6.6,5.2,3.3,4.0,8.7,7.6,2.7,2.6,8.2,7.0,11.3,5.0,9.5,2.3,6.3,16.4,29.9,11.0,4.7,11.1,7.8,3.5,15.9,7.5,5.4,20.3,11.0,4.1,10.9,9.9,7.7,7.5,11.3,9.0,25.9,18.9,18.4,3.9,6.3,11.9,3.1,2.6,0.8,6.2,15.2,8.7,0.9,10.6,10.6,0.0,5.1,15.0,14.1,1.8,5.8,13.4,9.9,3.7,1.5,0.0,3.5,3.0,2.2,8.8,10.3,8.3,26.9,0.0,8.5,0.7,14.7,23.6,2.7,0.0,9.3,3.0,7.2,0.0,0.7,3.5,16.1,2.1,6.9,12.3,19.2,0.0,4.8,16.2,30.6,0.3,2.1,2.0,7.2,11.3,4.9,21.4,4.2,2.2,7.3,7.5,2.0,8.3,16.3,3.8,4.4,9.2,0.0,6.4,27.4,2.0,10.3,2.4,6.3,1.7,8.4,8.3,10.1,6.4,3.6,9.2,7.4,1.0,11.8,3.8,5.5,22.0,4.1,4.6,11.8,9.2,6.2,2.4,17.3,16.3,13.5,2.4,0.0,3.2,9.4,10.0,5.2,18.2,7.2,12.9,6.4,22.7,4.8,10.4,6.7,23.2,3.6,10.1,2.4,18.1,15.1,14.6,4.3,1.8,6.4,12.4,2.9,0.8,17.0,10.8,11.5,4.7,12.5,8.5,10.1,9.2,17.4,0.0,22.1,5.8,15.6,8.8,9.0,13.3,5.8,19.1,6.0,7.4,7.6,2.8,11.7,10.2,2.0,3.8,0.0,2.4,8.3,3.8,6.3,0.3,15.0,3.5,10.2,1.8,9.0,6.5,8.8,6.4,6.0,7.3,0.0,5.3,0.0,4.1,21.3,23.2,17.3,17.2,4.0,7.9,9.6,5.8,5.8,2.0,10.8,13.4,23.2,6.2,4.4,5.6,11.5,5.1,0.0,4.7,1.3,21.7,10.8,5.9,5.9,4.3,11.7,5.1,27.9,13.2,6.3,12.0,5.6,5.3,2.9,5.6,13.5,8.4,4.4,21.1,1.0,17.2,5.3,9.0,0.0,8.2,3.0,9.4,8.6,17.9,2.6,14.7,13.1,2.0,9.4,8.9,3.7,6.2,1.4,3.0,0.7,10.7,0.0,11.1,12.7,7.7,17.8,2.0,7.4,24.0,8.1,3.2,1.0,3.2,26.8,0.7,5.3,18.1,2.0,8.0,8.2,16.0,16.3,7.5,9.3,20.4,16.0,4.1,3.8,4.2,2.5,0.0,16.1,5.6,1.6,18.5,11.3,15.6,8.1,7.4,4.5,5.4,15.3,3.1,0.5,7.0,0.0,3.3,25.5,6.7,13.7,0.6,2.9,0.5,2.0,1.0,8.2,24.5,15.0,6.8,3.3,4.0,8.1,7.1,10.0,3.1,3.5,24.3,11.4,9.0,9.2,9.9,22.8,3.0,10.3,7.6,5.4,8.2,9.1,8.2,3.4,0.6,6.2,9.1,8.5,1.5,13.1,10.4,9.2,16.8,8.6,4.2,7.5,4.8,1.1,20.0,7.6,2.7,6.0,1.1,5.3,6.6,24.4,4.4,17.2,3.6,3.0,3.5,6.6,28.4,0.0,6.0,10.4,3.3,7.6,3.3,4.3,3.0,14.2,4.0,3.3,2.5,6.9,4.6,8.5,1.1,4.4,10.0,7.3,10.8,10.4,10.0,19.3,9.6,6.2,3.6,7.1,7.4,11.0,5.1,5.4,6.7,1.7,15.0,5.4,7.3,5.1,14.7,1.7,9.1,5.8,0.6,4.8,4.3,1.1,7.8,4.1,10.5,6.2,2.9,6.0,4.3,7.1,3.4,0.0,20.7,2.8,1.0,15.3,17.5,2.8,8.7,4.7,2.5,2.0,12.4,0.0,7.0,17.1,6.9,20.1,4.5,6.0,15.6,1.6,13.6,3.1,12.1,29.9,5.9,7.2,8.8,13.2,3.4,3.3,7.4,5.9,20.2,1.4,30.3,14.8,7.0,2.0,8.3,8.3,6.1,20.1,12.9,27.4,13.4,17.1,3.9,7.6,7.6,4.2,11.6,9.1,18.3,5.8,10.2,2.7,6.4,14.9,4.8,12.5,7.9,6.1,1.3,18.5,7.9,3.8,0.0,4.1,15.0,3.3,6.4,3.1,17.0,5.7,5.7,5.6,24.6,1.0,3.7,2.5,15.0,5.7,3.1,2.1,10.1,2.3,20.1,9.0,8.0,13.0,4.1,1.3,4.4,4.3,9.0,13.1,12.6,10.6,0.3,8.5,2.2,20.2,8.0,13.7,14.2,1.2,9.9,12.9,9.8,2.0,19.0,17.6,27.1,2.3,8.3,10.6,3.0,8.7,3.4,6.1,3.0,8.3,3.7,0.0,5.7,12.1,10.7,7.0,13.8,1.4,12.1,3.8,19.1,4.3,4.0,0.0,2.0,11.9,5.8,28.4,17.2,4.5,6.3,8.0,1.0,4.3,15.4,10.6,4.6,4.0,3.0,0.0,5.7,6.5,6.8,11.3,4.5,4.1,1.9,7.6,10.8,12.1,1.1,4.0],\"coloraxis\":\"coloraxis\",\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"\",\"showlegend\":false,\"x\":[198.12,215.9,205.74,203.2,205.74,200.66,198.12,213.36,193.04,182.88,182.88,213.36,195.58,190.5,210.82,210.82,213.36,185.42,200.66,190.5,203.2,210.82,190.5,210.82,200.66,213.36,198.12,190.5,190.5,203.2,185.42,193.04,205.74,210.82,208.28,205.74,208.28,200.66,193.04,200.66,205.74,210.82,203.2,208.28,203.2,203.2,177.8,195.58,200.66,203.2,205.74,198.12,218.44,195.58,213.36,185.42,210.82,210.82,187.96,195.58,208.28,195.58,208.28,208.28,203.2,203.2,187.96,198.12,203.2,200.66,198.12,203.2,193.04,200.66,205.74,195.58,193.04,193.04,210.82,208.28,190.5,210.82,203.2,208.28,190.5,193.04,203.2,190.5,203.2,203.2,213.36,198.12,231.14,203.2,205.74,200.66,205.74,208.28,185.42,215.9,210.82,193.04,198.12,218.44,213.36,205.74,187.96,203.2,187.96,210.82,205.74,203.2,180.34,187.96,205.74,205.74,213.36,213.36,205.74,187.96,210.82,193.04,203.2,195.58,182.88,195.58,210.82,198.12,185.42,208.28,210.82,203.2,205.74,198.12,220.98,205.74,205.74,203.2,205.74,195.58,205.74,210.82,205.74,203.2,205.74,187.96,198.12,182.88,208.28,193.04,213.36,208.28,210.82,200.66,187.96,203.2,205.74,193.04,205.74,205.74,205.74,210.82,210.82,200.66,213.36,195.58,208.28,210.82,200.66,208.28,200.66,185.42,198.12,195.58,210.82,200.66,177.8,200.66,198.12,180.34,208.28,208.28,185.42,180.34,200.66,200.66,215.9,205.74,185.42,195.58,210.82,193.04,203.2,182.88,200.66,203.2,193.04,200.66,205.74,193.04,210.82,200.66,198.12,205.74,205.74,210.82,208.28,210.82,198.12,190.5,210.82,208.28,200.66,200.66,203.2,200.66,195.58,208.28,187.96,200.66,193.04,198.12,187.96,190.5,200.66,200.66,205.74,205.74,195.58,198.12,180.34,200.66,208.28,190.5,200.66,208.28,187.96,198.12,182.88,215.9,205.74,210.82,228.6,208.28,205.74,210.82,203.2,185.42,208.28,198.12,187.96,187.96,193.04,210.82,195.58,205.74,187.96,193.04,200.66,200.66,201.0,210.82,193.04,210.82,200.66,208.28,193.04,223.52,208.28,187.96,215.9,210.82,190.5,200.66,193.04,203.2,203.2,213.36,193.04,200.66,180.34,213.36,198.12,205.74,177.8,193.04,210.82,198.12,193.04,193.04,208.28,193.04,203.2,208.28,205.74,198.12,213.36,203.2,203.2,200.66,213.36,213.36,215.9,210.82,205.74,187.96,205.74,187.96,213.36,190.5,190.5,205.74,203.2,187.96,218.44,180.34,205.74,198.12,193.04,190.5,208.28,182.88,208.28,193.04,198.12,210.82,208.28,208.28,205.74,210.82,208.28,223.52,187.96,185.42,213.36,190.5,195.58,210.82,185.42,213.36,213.36,190.5,200.66,205.74,203.2,208.28,200.66,200.66,205.74,203.2,195.58,195.58,185.42,187.96,200.66,185.42,200.66,195.58,190.5,185.42,195.58,198.12,203.2,208.28,195.58,195.58,203.2,190.5,213.36,208.28,200.66,210.82,208.28,187.96,195.58,185.42,205.74,200.66,195.58,198.12,205.74,205.74,203.2,210.82,203.2,195.58,210.82,215.9,200.66,195.58,200.66,182.88,198.12,203.2,208.28,195.58,195.58,203.2,187.96,185.42,205.74,160.02,195.58,198.12,185.42,213.36,205.74,205.74,208.28,210.82,213.36,205.74,205.74,195.58,187.96,208.28,190.5,200.66,205.74,218.44,195.58,185.42,200.66,203.2,210.82,195.58,208.28,205.74,190.5,205.74,190.5,182.88,208.28,215.9,208.28,198.12,205.74,210.82,208.28,210.82,200.66,198.12,205.74,210.82,208.28,195.58,190.5,205.74,205.74,208.28,215.9,208.28,185.42,208.28,190.5,205.74,200.66,205.74,195.58,205.74,210.82,203.2,200.66,193.04,182.88,200.66,185.42,208.28,195.58,187.96,223.52,203.2,185.42,198.12,208.28,205.74,213.36,210.82,208.28,198.12,205.74,213.36,198.12,195.58,160.02,185.42,203.2,195.58,195.58,187.96,208.28,203.2,205.74,218.44,195.58,205.74,198.12,203.2,203.2,205.74,205.74,198.12,195.58,205.74,200.66,205.74,205.74,185.42,195.58,185.42,210.82,200.66,208.28,210.82,190.5,195.58,215.9,198.12,210.82,220.98,208.28,210.82,195.58,210.82,200.66,185.42,187.96,185.42,195.58,195.58,205.74,195.58,190.5,200.66,205.74,200.66,205.74,200.66,187.96,190.5,213.36,213.36,193.04,185.42,210.82,190.5,185.42,203.2,195.58,205.74,203.2,190.5,205.74,205.74,198.12,187.96,210.82,210.82,205.74,208.28,208.28,210.82,198.12,208.28,193.04,208.28,182.88,213.36,200.66,208.28,190.5,208.28,193.04,208.28,203.2,200.66,180.34,213.36,198.12,195.58,220.98,213.36,213.36,200.66,203.2,210.82,213.36,198.12,208.28,205.74,203.2,215.9,208.28,193.04,198.12,210.82,193.04,177.8,205.74,198.12,185.42,200.66,193.04,180.34,198.12,218.44,205.74,200.66,200.66,190.5,190.5,208.28,210.82,200.66,198.12,198.12,200.66,205.74,190.5,208.28,223.52,193.04,208.28,200.66,193.04,193.04,193.04,200.66,200.66,193.04,187.96,187.96,210.82,200.66,203.2,190.5,190.5,185.42,187.96,205.74,213.36,203.2,167.64,185.42,195.58,180.34,210.82,208.28,228.6,210.82,205.74,215.9,198.12,208.28,205.74,203.2,200.66,208.28,187.96,205.74,200.66,210.82,198.12,177.8,200.66,210.82,185.42,200.66,208.28,190.5,200.66,210.82,208.28,200.66,203.2,203.2,210.82,182.88,208.28,187.96,190.5,210.82,213.36,198.12,190.5,210.82,205.74,177.8,208.28,200.66,203.2,200.66,195.58,210.82,180.34,208.28,200.66,193.04,205.74,208.28,208.28,208.28,205.74,205.74,218.44,203.2,203.2,177.8,203.2,203.2,205.74,208.28,193.04,185.42,203.2,208.28,185.42,180.34,200.66,203.2,215.9,195.58,205.74,195.58,182.88,210.82,187.96,195.58,198.12,185.42,198.12,205.74,205.74,205.74,205.74,187.96,180.34,205.74,220.98,205.74,205.74,203.2,205.74,193.04,205.74,205.74,193.04,198.12,205.74,203.2,208.28,203.2,205.74,198.12,182.88,208.28,213.36,213.36,208.28,210.82,200.66,198.12,187.96,190.5,195.58,205.74,213.36,205.74,193.04,200.66,213.36,195.58,200.66,195.58,198.12,203.2,205.74,193.04,210.82,200.66,200.66,198.12,200.66,195.58,193.04,203.2,187.96,210.82,193.04,203.2,198.12,195.58,205.74,182.88,195.58,210.82,198.12,198.12,185.42,177.8,185.42,205.74,205.74,190.5,190.5,210.82,205.74,213.36,193.04,190.5,193.04,203.2,203.2,213.36,193.04,198.12,203.2,200.66,182.88,210.82,203.2,193.04,213.36,190.5,198.12,195.58,213.36,200.66,190.5,213.36,203.2,200.66,213.36,193.04,182.88,195.58,213.36,185.42,200.66,198.12,205.74,203.2,185.42,185.42,203.2,203.2,193.04,195.58,187.96,208.28,208.28,198.12,193.04,210.82,208.28,195.58,193.04,200.66,205.74,203.2,208.28,203.2,195.58,208.28,210.82,193.04,198.12,218.44,213.36,205.74,203.2,195.58,208.28,190.5,208.28,210.82,210.82,187.96,195.58,208.28,205.74,198.12,205.74,185.42,177.8,198.12,200.66,203.2,218.44,198.12,195.58,190.5,200.66,200.66,205.74,210.82,210.82,198.12,200.66,213.36,210.82,208.28,195.58,198.12,205.74,205.74,220.98,205.74,180.34,187.96,205.74,205.74,213.36,205.74,213.36,203.2,187.96,210.82,193.04,203.2,195.58,185.42,195.58,195.58,208.28,190.5,198.12,208.28,200.66,185.42,193.04,193.04,210.82,200.66,190.5,190.5,198.12,210.82,180.34,203.2,200.66,208.28,185.42,180.34,177.8,208.28,200.66,203.2,210.82,193.04,187.96,190.5,210.82,213.36,198.12,190.5,205.74,210.82,208.28,203.2,200.66,203.2,200.66,208.28,182.88,210.82,203.2,205.74,205.74,190.5,205.74,213.36,180.34,200.66,203.2,205.74,187.96,210.82,210.82,198.12,205.74,210.82,198.12,208.28,193.04,182.88,213.36,210.82,208.28,208.28,213.36,185.42,198.12,220.98,203.2,210.82,213.36,198.12,208.28,203.2,193.04,213.36,215.9,208.28,193.04,200.66,210.82,193.04,177.8,182.88,198.12,205.74,190.5,208.28,193.04,205.74,205.74,205.74,198.12,182.88,208.28,193.04,195.58,205.74,208.28,200.66,210.82,200.66,205.74,205.74,190.5,205.74,198.12,193.04,205.74,180.34,193.04,208.28,205.74,205.74,180.34,198.12,218.44,203.2,215.9,190.5,180.34,187.96,213.36,203.2,185.42,185.42,208.28,228.6,205.74,215.9,205.74,195.58,205.74,205.74,185.42,195.58,205.74,190.5,193.04,208.28,208.28,208.28,198.12,187.96,208.28,208.28,215.9,200.66,190.5,200.66,205.74,195.58,210.82,200.66,182.88,213.36,203.2,208.28,187.96,187.96,213.36,190.5,195.58,195.58,195.58,203.2,205.74,195.58,210.82,195.58,210.82,193.04,213.36,190.5,200.66,200.66,205.74,205.74,203.2,200.66,195.58,185.42,200.66,205.74,185.42,187.96,185.42,208.28,210.82,205.74,218.44,195.58,200.66,203.2,210.82,198.12,195.58,187.96,185.42,160.02,208.28,200.66,223.52,208.28,187.96,203.2,190.5,200.66,198.12,198.12,200.66,210.82,203.2,200.66,198.12,210.82,190.5,193.04,200.66,200.66,205.74,205.74,210.82,200.66,208.28,200.66,203.2,208.28,190.5,193.04,193.04,193.04,208.28,185.42,198.12,185.42,213.36,205.74,205.74,208.28,210.82,205.74,213.36,213.36,200.66,205.74,208.28,208.28,185.42,203.2,210.82,210.82,187.96,193.04,208.28,210.82,213.36,195.58,193.04,200.66,200.66,185.42,195.58,210.82,200.66,182.88,213.36,185.42,200.66,213.36,190.5,193.04,203.2,210.82,190.5,210.82,205.74,198.12,193.04,213.36,190.5,193.04,203.2,203.2,203.2,193.04,198.12,205.74,231.14,203.2,200.66,203.2,205.74,193.04,213.36,198.12,200.66,182.88,210.82,187.96,195.58,200.66,203.2,195.58,185.42,193.04,205.74,208.28,208.28,208.28,205.74,218.44,213.36,203.2,208.28,203.2,205.74,198.12,190.5,198.12,195.58,213.36,200.66,218.44,165.1,190.5,185.42,185.42,210.82,218.44,215.9,200.66,205.74,198.12,198.12,215.9,195.58,190.5,213.36,208.28,210.82,213.36,187.96,210.82,195.58,205.74,205.74,200.66,205.74,195.58,210.82,198.12,205.74,205.74,203.2,198.12,220.98,208.28,185.42,205.74,208.28,190.5,213.36,205.74,190.5,210.82,198.12,208.28,210.82,187.96,195.58,208.28,195.58,203.2,208.28,185.42,205.74,203.2,203.2,195.58,187.96,203.2,200.66,198.12,203.2,193.04,200.66,185.42,205.74,193.04,193.04,198.12,190.5,208.28,193.04,190.5,198.12,195.58,213.36,165.1,198.12,205.74,213.36,193.04,182.88,203.2,195.58,213.36,185.42,200.66,190.5,203.2,210.82,190.5,210.82,205.74,210.82,198.12,198.12,213.36,205.74,203.2,195.58,205.74,210.82,190.5,187.96,195.58,200.66,203.2,195.58,185.42,203.2,205.74,208.28,193.04,208.28,208.28,203.2,200.66,205.74,218.44,195.58,213.36,208.28,200.66,193.04,193.04,190.5,203.2,203.2,203.2,198.12,203.2,193.04,187.96,187.96,185.42,210.82,193.04,193.04,208.28,195.58,210.82,200.66,205.74,198.12,198.12,215.9,210.82,208.28,200.66,203.2,205.74,185.42,205.74,193.04,203.2,203.2,203.2,205.74,231.14,203.2,200.66,203.2,205.74,185.42,185.42,193.04,218.44,213.36,203.2,187.96,190.5,208.28,187.96,195.58,208.28,195.58,195.58,210.82,215.9,200.66,180.34,203.2,205.74,205.74,220.98,205.74,180.34,187.96,190.5,205.74,205.74,213.36,205.74,213.36,205.74,187.96,203.2,195.58,185.42,195.58,195.58,213.36,198.12,185.42,210.82,205.74,193.04,205.74,205.74,208.28,195.58,205.74,205.74,220.98,198.12,182.88,208.28,195.58,205.74,177.8,187.96,210.82,200.66,205.74,205.74,185.42,190.5,203.2,205.74,198.12,193.04,205.74,208.28,208.28,205.74,205.74,182.88,210.82,203.2,180.34,203.2,200.66,208.28,198.12,198.12,208.28,200.66,185.42,193.04,210.82,200.66,190.5,177.8,198.12,180.34,208.28,200.66,208.28,185.42,208.28,200.66,200.66,187.96,200.66,218.44,213.36,195.58,190.5,200.66,208.28,200.66,210.82,210.82,200.66,198.12,200.66,205.74,190.5,187.96,190.5,210.82,213.36,198.12,190.5,205.74,210.82,208.28,198.12,205.74,187.96,195.58,200.66,200.66,205.74,205.74,210.82,200.66,205.74,208.28,200.66,203.2,208.28,208.28,185.42,198.12,215.9,205.74,228.6,208.28,200.66,185.42,203.2,213.36,187.96,193.04,190.5,190.5,195.58,200.66,193.04,193.04,198.12,193.04,200.66,205.74,200.66,223.52,208.28,187.96,203.2,190.5,195.58,200.66,198.12,198.12,200.66,203.2,208.28,198.12,190.5,200.66,210.82,190.5,190.5,203.2,213.36,185.42,198.12,205.74,198.12,182.88,193.04,210.82,200.66,193.04,208.28,215.9,205.74,195.58,213.36,190.5,193.04,200.66,203.2,208.28,187.96,198.12,213.36,180.34,190.5,200.66,203.2,198.12,180.34,205.74,208.28,190.5,208.28,218.44,213.36,182.88,200.66,193.04,193.04,208.28,198.12,198.12,210.82,213.36,208.28,205.74,210.82,210.82,187.96,205.74,205.74,218.44,210.82,213.36,210.82,205.74,203.2,208.28,200.66,208.28,195.58,195.58,200.66,195.58,205.74,203.2,187.96,210.82,205.74,205.74,218.44,195.58,200.66,203.2,190.5,210.82,198.12,195.58,205.74,200.66,187.96,190.5,190.5,185.42,205.74,205.74,200.66,205.74,195.58,210.82,198.12,203.2,205.74,205.74,205.74,208.28,210.82,195.58,185.42,203.2,210.82,195.58,210.82,185.42,193.04,213.36,220.98,187.96,200.66,190.5,208.28,198.12,185.42,205.74,213.36,205.74,205.74,208.28,210.82,205.74,213.36,200.66,205.74,205.74,208.28,203.2,200.66,210.82,187.96,210.82,187.96,193.04,208.28,160.02,185.42,185.42,203.2,208.28,208.28,208.28,208.28,215.9,200.66,190.5,205.74,198.12,205.74,195.58,205.74,195.58,200.66,182.88,213.36,205.74,203.2,208.28,187.96,213.36,190.5,205.74,195.58,210.82,213.36,195.58,203.2,195.58,198.12,218.44,195.58,210.82,208.28,203.2,203.2,205.74,198.12,190.5,198.12,210.82,213.36,165.1,182.88,185.42,200.66,205.74,203.2,213.36,193.04,182.88,203.2,195.58,203.2,208.28,195.58,208.28,180.34,215.9,208.28,203.2,208.28,205.74,185.42,180.34,200.66,203.2,215.9,213.36,195.58,195.58,195.58,210.82,187.96,195.58,205.74,195.58,185.42,205.74,208.28,193.04,185.42,213.36,198.12,203.2,208.28,187.96,220.98,210.82,213.36,187.96,213.36,198.12,215.9,208.28,203.2,200.66,193.04,190.5,213.36,215.9,208.28,193.04,198.12,210.82,193.04,177.8,182.88,190.5,203.2,210.82,213.36,185.42,210.82,190.5,210.82,205.74,210.82,195.58,213.36,195.58,218.44,190.5,190.5,193.04,203.2,203.2,205.74,203.2,200.66,203.2,205.74,185.42,193.04,210.82,218.44,203.2,198.12,198.12,177.8,200.66,205.74,185.42,187.96,190.5,203.2,205.74,193.04,205.74,193.04,205.74,210.82,205.74,205.74,220.98,205.74,180.34,190.5,205.74,205.74,203.2,187.96,203.2,205.74,208.28,187.96,195.58,200.66,200.66,195.58,205.74,210.82,185.42,208.28,205.74,218.44,210.82,203.2,195.58,208.28,185.42,195.58,205.74,205.74,208.28,195.58,205.74,205.74,198.12,182.88,208.28,205.74,210.82,185.42,213.36,208.28,187.96,215.9,200.66,198.12,200.66,208.28,182.88,210.82,180.34,203.2,200.66,208.28,198.12,198.12,208.28,200.66,185.42,195.58,193.04,210.82,215.9,190.5,177.8,210.82,205.74,190.5,198.12,185.42,177.8,203.2,205.74,198.12,205.74,200.66,218.44,213.36,195.58,195.58,190.5,208.28,200.66,210.82,210.82,200.66,200.66,205.74,187.96,190.5,210.82,198.12,200.66,205.74,195.58,185.42,190.5,205.74,213.36,195.58,205.74,210.82,208.28,213.36,200.66,185.42,195.58,218.44,205.74,210.82,187.96,203.2,205.74,195.58,195.58,190.5,200.66,195.58,195.58,205.74,208.28,208.28,187.96,203.2,195.58,190.5,213.36,203.2,190.5,203.2,185.42,208.28,203.2,203.2,205.74,198.12,182.88,200.66,210.82,193.04,195.58,200.66,205.74,190.5,200.66,215.9,208.28,213.36,185.42,200.66,203.2,208.28,215.9,208.28,215.9,198.12,198.12,205.74,208.28,200.66,210.82,208.28,193.04,210.82,185.42,187.96,193.04,187.96,213.36,203.2,193.04,205.74,187.96,198.12,213.36,187.96,195.58,185.42,205.74,205.74,200.66,177.8,195.58,213.36,187.96,210.82,190.5,210.82,205.74,208.28,203.2,195.58,210.82,208.28,205.74,205.74,203.2,198.12,210.82,195.58,200.66,205.74,185.42,185.42,203.2,160.02,190.5,190.5,208.28,190.5,187.96,203.2,203.2,213.36,208.28,182.88,210.82,200.66,208.28,228.6,205.74,215.9,198.12,185.42,208.28,203.2,182.88,200.66,208.28,205.74,198.12,200.66,180.34,200.66,213.36,180.34,190.5,200.66,203.2,190.5,205.74,187.96,210.82,210.82,205.74,205.74,213.36,210.82,198.12,208.28,200.66,182.88,213.36,208.28,190.5,208.28,208.28,208.28,200.66,203.2,205.74,193.04,187.96,195.58,187.96,210.82,200.66,198.12,203.2,205.74,205.74,198.12,208.28,193.04,205.74,210.82,208.28,205.74,208.28,213.36,205.74,185.42,198.12,210.82,208.28,213.36,210.82,193.04,195.58,205.74,213.36,193.04,190.5,200.66,208.28,195.58,205.74,203.2,200.66,198.12,200.66,200.66,190.5,195.58,200.66,198.12,193.04,200.66,200.66,208.28,187.96,203.2,200.66,213.36,198.12,190.5,203.2,187.96,185.42,208.28,203.2,198.12,213.36,200.66,200.66,195.58,195.58,205.74,210.82,195.58,200.66,205.74,208.28,187.96,190.5,210.82,195.58,187.96,203.2,208.28,210.82,200.66,198.12,215.9,210.82,203.2,205.74,198.12,213.36,213.36,195.58,205.74,205.74,198.12,208.28,205.74,195.58,185.42,198.12,208.28,200.66,182.88,185.42,210.82,208.28,195.58,190.5,187.96,210.82,195.58,210.82,205.74,200.66,185.42,185.42,195.58,210.82,208.28,213.36,200.66,205.74,203.2,198.12,193.04,213.36,195.58,200.66,205.74,185.42,195.58,185.42,205.74,205.74,190.5,200.66,205.74,213.36,205.74,210.82,208.28,213.36,200.66,208.28,195.58,210.82,215.9,205.74,187.96,205.74,205.74,195.58,195.58,190.5,195.58,200.66,208.28,203.2,210.82,205.74,208.28,187.96,190.5,208.28,195.58,203.2,213.36,180.34,190.5,200.66,203.2,187.96,205.74,187.96,210.82,210.82,208.28,213.36,208.28,200.66,182.88,213.36,187.96,208.28,190.5,180.34,205.74,185.42,210.82,205.74,198.12,220.98,210.82,208.28,213.36,205.74,187.96,185.42,198.12,215.9,208.28,203.2,198.12,200.66,190.5,213.36,208.28,215.9,208.28,193.04,198.12,210.82,208.28,215.9,182.88,193.04,203.2,205.74,203.2,190.5,205.74,190.5,195.58,213.36,200.66,205.74,200.66,195.58,190.5,203.2,200.66,187.96,200.66,200.66,193.04,200.66,200.66,200.66,200.66,195.58,215.9,213.36,210.82,208.28,193.04,200.66,210.82,208.28,190.5,208.28,190.5,187.96,203.2,203.2,180.34,208.28,208.28,200.66,205.74,208.28,205.74,215.9,203.2,198.12,185.42,208.28,208.28,200.66,208.28,205.74,210.82,228.6,215.9,205.74,200.66,210.82,182.88,208.28,200.66,213.36,208.28,210.82,205.74,190.5,208.28,210.82,190.5,187.96,190.5,193.04,205.74,200.66,210.82,187.96,210.82,200.66,208.28,200.66,180.34,203.2,200.66,208.28,213.36,185.42,215.9,200.66,180.34,185.42,205.74,208.28,203.2,208.28,215.9,190.5,180.34,210.82,203.2,177.8,190.5,215.9,210.82,193.04,198.12,200.66,208.28,198.12,198.12,195.58,195.58,200.66,193.04,203.2,190.5,187.96,205.74,205.74,200.66,208.28,205.74,187.96,210.82,195.58,210.82,205.74,208.28,182.88,198.12,205.74,205.74,195.58,208.28,195.58,185.42,205.74,193.04,205.74,210.82,205.74,198.12,205.74,205.74,203.2,177.8,185.42,198.12,213.36,195.58,213.36,218.44,195.58,185.42,195.58,203.2,187.96,205.74,190.5,180.34,208.28,205.74,208.28,205.74,198.12,210.82,180.34,185.42,210.82,203.2,210.82,218.44,205.74,185.42,210.82,195.58,200.66,195.58,193.04,208.28,195.58,187.96,208.28,203.2,205.74,210.82,213.36,218.44,210.82,193.04,185.42,190.5,195.58,203.2,203.2,182.88,198.12,198.12,198.12,205.74,208.28,215.9,210.82,195.58,208.28,193.04,205.74,193.04,185.42,187.96,198.12,193.04,187.96,213.36,213.36,203.2,210.82,198.12,187.96,210.82,203.2,200.66,203.2,198.12,185.42,208.28,182.88,185.42,165.1,190.5,198.12,205.74,200.66,203.2,205.74,203.2,195.58,218.44,205.74,203.2,195.58,208.28,193.04,208.28,185.42,195.58,195.58,213.36,208.28,210.82,213.36,190.5,200.66,203.2,203.2,203.2,193.04,195.58,213.36,195.58,210.82,208.28,203.2,210.82,190.5,210.82,185.42,203.2,190.5,198.12,213.36,195.58,203.2,182.88,190.5,213.36,205.74,210.82,215.9,208.28,205.74,198.12,198.12,198.12,200.66,208.28,215.9,208.28,185.42,200.66,210.82,200.66,185.42,208.28,190.5,208.28,210.82,190.5,187.96,193.04,205.74,218.44,198.12,205.74,200.66,187.96,210.82,200.66,200.66,190.5,218.44,200.66,205.74,198.12,205.74,210.82,203.2,213.36,203.2,177.8,190.5,215.9,210.82,190.5,193.04,195.58,200.66,208.28,198.12,198.12,208.28,200.66,180.34,210.82,208.28,182.88,208.28,200.66,200.66,205.74,205.74,203.2,177.8,190.5,187.96,187.96,205.74,205.74,200.66,208.28,205.74,187.96,208.28,210.82,195.58,205.74,182.88,198.12,205.74,205.74,195.58,208.28,195.58,205.74,203.2,182.88,193.04,205.74,198.12,213.36,198.12,195.58,213.36,205.74,195.58,198.12,185.42,195.58,203.2,187.96,205.74,190.5,180.34,208.28,220.98,205.74,210.82,205.74,193.04,200.66,210.82,210.82,208.28,185.42,187.96,200.66,187.96,195.58,187.96,208.28,208.28,205.74,218.44,210.82,193.04,205.74,203.2,198.12,200.66,203.2,190.5,200.66,203.2,203.2,205.74,193.04,218.44,203.2,193.04,193.04,210.82,187.96,185.42,187.96,198.12,193.04,213.36,213.36,203.2,210.82,210.82,187.96,193.04,203.2,210.82,203.2,195.58,190.5,210.82,210.82,195.58,187.96,190.5,203.2,203.2,213.36,195.58,218.44,195.58,203.2,195.58,208.28,185.42,195.58,180.34,195.58,213.36,185.42,215.9,200.66,185.42,205.74,208.28,203.2,200.66,195.58,205.74,208.28,193.04,210.82,208.28,210.82,190.5,210.82,203.2,190.5,198.12,195.58,203.2,213.36,210.82,203.2,210.82,205.74,198.12,185.42,208.28,185.42,165.1,198.12,195.58,185.42,193.04,205.74,210.82,205.74,208.28,203.2,200.66,208.28,208.28,185.42,198.12,190.5,203.2,205.74,228.6,208.28,200.66,208.28,193.04,208.28,180.34,203.2,203.2,215.9,203.2,205.74,208.28,208.28,213.36,200.66,195.58,203.2,200.66,200.66,200.66,200.66,193.04,200.66,200.66,210.82,208.28,187.96,203.2,190.5,200.66,205.74,195.58,200.66,213.36,195.58,187.96,190.5,190.5,213.36,205.74,182.88,215.9,210.82,198.12,200.66,208.28,215.9,208.28,215.9,193.04,200.66,203.2,208.28,215.9,198.12,226.06,205.74,213.36,210.82,220.98,195.58,213.36,210.82,193.04,185.42,203.2,203.2,205.74,203.2,198.12,205.74,205.74,208.28,187.96,213.36,182.88,208.28,193.04,213.36,208.28,210.82,210.82,187.96,205.74,187.96,203.2,200.66,180.34,213.36,195.58,187.96,185.42,187.96,203.2,195.58,195.58,195.58,205.74,205.74,187.96,203.2,215.9,210.82,195.58,205.74,208.28,200.66,213.36,198.12,208.28,210.82,203.2,208.28,213.36,205.74,190.5,210.82,205.74,205.74,205.74,200.66,190.5,195.58,203.2,193.04,205.74,198.12,205.74,200.66,208.28,210.82,208.28,195.58,185.42,187.96,200.66,205.74,210.82,195.58,210.82,187.96,213.36,190.5,200.66,208.28,208.28,200.66,200.66,215.9,208.28,210.82,185.42,213.36,208.28,198.12,205.74,210.82,205.74,213.36,198.12,208.28,208.28,193.04,203.2,210.82,198.12,215.9,198.12,203.2,210.82,187.96,203.2,210.82,213.36,187.96,200.66,190.5,190.5,205.74,210.82,208.28,210.82,200.66,195.58,195.58,210.82,208.28,198.12,177.8,203.2,200.66,205.74,185.42,187.96,208.28,198.12,213.36,203.2,213.36,203.2,190.5,180.34,203.2,187.96,205.74,195.58,185.42,198.12,208.28,208.28,198.12,213.36,200.66,210.82,195.58,208.28,200.66,210.82,210.82,185.42,205.74,203.2,187.96,203.2,208.28,195.58,210.82,187.96,200.66,195.58,215.9,210.82,203.2,208.28,208.28,198.12,213.36,213.36,205.74,210.82,205.74,185.42,205.74,208.28,213.36,185.42,210.82,205.74,200.66,200.66,195.58,200.66,203.2,195.58,195.58,200.66,208.28,200.66,210.82,205.74,198.12,195.58,190.5,190.5,190.5,187.96,210.82,195.58,210.82,205.74,200.66,185.42,208.28,210.82,208.28,195.58,213.36,198.12,205.74,187.96,187.96,198.12,195.58,208.28,205.74,190.5,213.36,208.28,203.2,210.82,187.96,208.28,208.28,213.36,200.66,208.28,210.82,203.2,187.96,195.58,210.82,218.44,203.2,203.2,198.12,193.04,210.82,210.82,198.12,205.74,198.12,180.34,200.66,203.2,203.2,187.96,205.74,187.96,210.82,195.58,210.82,208.28,213.36,187.96,203.2,208.28,205.74,203.2,182.88,205.74,203.2,213.36,208.28,190.5,185.42,210.82,220.98,200.66,210.82,213.36,210.82,187.96,205.74,228.6,193.04,198.12,215.9,185.42,208.28,193.04,215.9,208.28,215.9,208.28,198.12,210.82,203.2,215.9,182.88,205.74,200.66,208.28,190.5,187.96,200.66,200.66,195.58,205.74,200.66,195.58,190.5,203.2,187.96,208.28,210.82,213.36,200.66,193.04,195.58,200.66,200.66,200.66,203.2,198.12,195.58,182.88,200.66,213.36,200.66,190.5,195.58,205.74,203.2,203.2,180.34,226.06,208.28,200.66,228.6,205.74,215.9,182.88,203.2,190.5,198.12,208.28,198.12,203.2,208.28,205.74,210.82,200.66,210.82,205.74,190.5,203.2,185.42,195.58,200.66,205.74,180.34,210.82,208.28,182.88,208.28,213.36,213.36,203.2,205.74,208.28,208.28,210.82,190.5,187.96,205.74,218.44,198.12,200.66,203.2,205.74,187.96,210.82,200.66,200.66,208.28,198.12,208.28,213.36,205.74,185.42,200.66,180.34,185.42,213.36,205.74,205.74,203.2,215.9,200.66,180.34,210.82,182.88,203.2,177.8,190.5,210.82,187.96,198.12,193.04,213.36,200.66,210.82,190.5,218.44,200.66,205.74,193.04,190.5,187.96,187.96,205.74,205.74,200.66,208.28,205.74,187.96,193.04,208.28,195.58,205.74,208.28,198.12,190.5,205.74,205.74,195.58,208.28,205.74,195.58,210.82,195.58,205.74,208.28,208.28,205.74,205.74,205.74,205.74,203.2,177.8,198.12,213.36,200.66,195.58,205.74,213.36,203.2,195.58,198.12,185.42,195.58,203.2,187.96,205.74,208.28,190.5,180.34,205.74,200.66,205.74,185.42,198.12,193.04,203.2,190.5,213.36,213.36,200.66,210.82,210.82,185.42,193.04,203.2,203.2,210.82,203.2,195.58,190.5,210.82,203.2,210.82,218.44,205.74,185.42,187.96,185.42,210.82,193.04,198.12,203.2,205.74,203.2,190.5,200.66,203.2,213.36,195.58,205.74,200.66,210.82,215.9,200.66,200.66,198.12,198.12,205.74,208.28,215.9,205.74,210.82,208.28,193.04,208.28,187.96,200.66,195.58,213.36,203.2,210.82,205.74,198.12,185.42,182.88,185.42,165.1,193.04,208.28,203.2,190.5,205.74,203.2,213.36,195.58,218.44,195.58,203.2,195.58,200.66,193.04,208.28,198.12,195.58,200.66,203.2,195.58,187.96,208.28,205.74,208.28,218.44,193.04,195.58,200.66,203.2,190.5,190.5,200.66,203.2,193.04,187.96,195.58,190.5,213.36,193.04,208.28,210.82,190.5,210.82,203.2,182.88,195.58,203.2,208.28,200.66,190.5,203.2,210.82,190.5,203.2,210.82,208.28,190.5,213.36,190.5,195.58,187.96,193.04,190.5,220.98,200.66,210.82,213.36,210.82,210.82,205.74,175.26,228.6,203.2,187.96,213.36,210.82,205.74,195.58,185.42,208.28,195.58,203.2,195.58,190.5,218.44,195.58,213.36,203.2,200.66,205.74,200.66,198.12,208.28,210.82,193.04,165.1,185.42,182.88,208.28,185.42,198.12,203.2,193.04,198.12,208.28,210.82,187.96,203.2,208.28,205.74,203.2,205.74,203.2,213.36,190.5,190.5,190.5,187.96,203.2,203.2,180.34,193.04,208.28,200.66,228.6,200.66,205.74,215.9,203.2,198.12,208.28,215.9,208.28,193.04,200.66,193.04,208.28,215.9,208.28,198.12,210.82,205.74,203.2,215.9,182.88,210.82,185.42,203.2,195.58,203.2,205.74,180.34,203.2,203.2,187.96,205.74,187.96,193.04,210.82,210.82,182.88,195.58,203.2,205.74,182.88,193.04,205.74,205.74,208.28,198.12,190.5,190.5,208.28,205.74,190.5,198.12,195.58,203.2,195.58,185.42,198.12,195.58,203.2,205.74,213.36,182.88,200.66,213.36,193.04,200.66,205.74,187.96,200.66,205.74,208.28,205.74,208.28,205.74,220.98,190.5,198.12,182.88,208.28,208.28,208.28,177.8,195.58,198.12,187.96,205.74,200.66,208.28,210.82,200.66,205.74,205.74,187.96,190.5,213.36,177.8,205.74,200.66,205.74,185.42,213.36,193.04,213.36,198.12,187.96,210.82,198.12,190.5,177.8,203.2,182.88,210.82,215.9,203.2,205.74,203.2,213.36,185.42,180.34,200.66,213.36,185.42,198.12,203.2,208.28,180.34,205.74,205.74,205.74,208.28,200.66,218.44,200.66,200.66,210.82,187.96,203.2,198.12,203.2,200.66,198.12,187.96,190.5,208.28,208.28,185.42,213.36,213.36,208.28,208.28,210.82,200.66,208.28,195.58,205.74,205.74,200.66,185.42,208.28,195.58,210.82,208.28,187.96,195.58,200.66,198.12,203.2,205.74,203.2,193.04,203.2,190.5,205.74,200.66,203.2,203.2,213.36,195.58,205.74,198.12,195.58,213.36,210.82,187.96,210.82,215.9,203.2,182.88,203.2,187.96,205.74,190.5,203.2,205.74,195.58,195.58,195.58,200.66,208.28,198.12,210.82,205.74,205.74,198.12,198.12,195.58,190.5,190.5,213.36,200.66,195.58,215.9,200.66,210.82,195.58,190.5,210.82,203.2,210.82,218.44,205.74,185.42,208.28,208.28,210.82,198.12,200.66,198.12,187.96,185.42,208.28,220.98,218.44,193.04,203.2,200.66,208.28,190.5,182.88,208.28,203.2,203.2,200.66,198.12,198.12,205.74,208.28,215.9,210.82,195.58,208.28,193.04,210.82,185.42,187.96,198.12,193.04,203.2,190.5,213.36,213.36,200.66,210.82,210.82,208.28,185.42,193.04,203.2,187.96,195.58,185.42,200.66,213.36,210.82,208.28,193.04,195.58,187.96,210.82,210.82,203.2,198.12,198.12,215.9,210.82,220.98,208.28,226.06,208.28,198.12,213.36,205.74,208.28,210.82,205.74,185.42,182.88,205.74,195.58,203.2,210.82,200.66,200.66,210.82,205.74,190.5,203.2,205.74,195.58,190.5,200.66,200.66,205.74,200.66,195.58,190.5,203.2,213.36,208.28,200.66,193.04,195.58,200.66,200.66,200.66,198.12,213.36,200.66,205.74,200.66,208.28,198.12,208.28,200.66,187.96,198.12,200.66,208.28,185.42,198.12,213.36,213.36,208.28,203.2,210.82,187.96,208.28,198.12,213.36,200.66,208.28,203.2,210.82,203.2,187.96,195.58,205.74,210.82,210.82,205.74,205.74,208.28,200.66,185.42,185.42,190.5,213.36,177.8,203.2,187.96,205.74,213.36,198.12,185.42,208.28,205.74,195.58,210.82,200.66,213.36,198.12,203.2,203.2,208.28,200.66,203.2,203.2,210.82,198.12,208.28,182.88,195.58,208.28,185.42,185.42,200.66,208.28,203.2,210.82,210.82,208.28,208.28,190.5,213.36,200.66,187.96,193.04,190.5,190.5,165.1,195.58,193.04,213.36,193.04,205.74,205.74,195.58,185.42,190.5,190.5,195.58,203.2,195.58,213.36,200.66,200.66,218.44,213.36,195.58,200.66,205.74,203.2,198.12,208.28,210.82,210.82,190.5,203.2,203.2,193.04,210.82,203.2,213.36,190.5,203.2,193.04,200.66,198.12,187.96,185.42,210.82,193.04,195.58,210.82,215.9,198.12,198.12,200.66,200.66,208.28,215.9,200.66,213.36,205.74,180.34,190.5,200.66,210.82,205.74,195.58,203.2,193.04,218.44,220.98,205.74,208.28,187.96,203.2,195.58,200.66,198.12,208.28,208.28,185.42,218.44,210.82,203.2,210.82,190.5,195.58,210.82,182.88,203.2,203.2,185.42,213.36,213.36,205.74,187.96,190.5,190.5,187.96,205.74,200.66,182.88,193.04,205.74,205.74,193.04,208.28,198.12,190.5,190.5,205.74,190.5,198.12,195.58,203.2,185.42,198.12,213.36,195.58,203.2,187.96,205.74,205.74,210.82,205.74,198.12,208.28,195.58,205.74,208.28,198.12,205.74,195.58,193.04,182.88,208.28,195.58,208.28,205.74,208.28,210.82,177.8,198.12,187.96,193.04,205.74,200.66,213.36,213.36,200.66,185.42,190.5,203.2,208.28,208.28,198.12,180.34,208.28,198.12,200.66,193.04,213.36,198.12,210.82,198.12,190.5,177.8,182.88,210.82,190.5,203.2,205.74,205.74,203.2,213.36,185.42,180.34,213.36,208.28,213.36,182.88,213.36,200.66,177.8,203.2,205.74,205.74,205.74,205.74,200.66,200.66,198.12,200.66,210.82,187.96,205.74,198.12,203.2,200.66,210.82,193.04,190.5,210.82,190.5,208.28,208.28,185.42,213.36,205.74,213.36,213.36,187.96,208.28,190.5,195.58,205.74,200.66,185.42,190.5,205.74,210.82,193.04,200.66,200.66,210.82,205.74,208.28,205.74,182.88,203.2,198.12,203.2,215.9,205.74,205.74,200.66,208.28,213.36,208.28,215.9,198.12,198.12,203.2,210.82,210.82,187.96,195.58,205.74,193.04,193.04,208.28,210.82,213.36,200.66,200.66,195.58,185.42,198.12,203.2,200.66,200.66,195.58,193.04,200.66,200.66,208.28,200.66,208.28,182.88,215.9,203.2,205.74,210.82,198.12,208.28,208.28,195.58,193.04,200.66,208.28,205.74,182.88,187.96,228.6,205.74,205.74,210.82,210.82,213.36,210.82,200.66,220.98,185.42,210.82,208.28,185.42,195.58,193.04,180.34,203.2,198.12,203.2,187.96,190.5,190.5,190.5,213.36,205.74,182.88,205.74,205.74,208.28,210.82,208.28,210.82,193.04,210.82,187.96,187.96,203.2,185.42,203.2,203.2,195.58,226.06,205.74,210.82,198.12,208.28,200.66,195.58,195.58,205.74,203.2,190.5,205.74,203.2,205.74,187.96,203.2,218.44,210.82,185.42,200.66,185.42,215.9,203.2,205.74,190.5,210.82,203.2,205.74,198.12,198.12,190.5,203.2,203.2,200.66,205.74,205.74,190.5,200.66,203.2,203.2,205.74,198.12,195.58,187.96,208.28,210.82,208.28,200.66,205.74,190.5,210.82,200.66,187.96,190.5,190.5,208.28,200.66,198.12,208.28,203.2,198.12,187.96,205.74,187.96,203.2,177.8,213.36,193.04,185.42,190.5,185.42,200.66,175.26,208.28,213.36,210.82,205.74,185.42,213.36,205.74,205.74,210.82,208.28,210.82,203.2,198.12,198.12,200.66,187.96,210.82,203.2,215.9,213.36,205.74,200.66,198.12,200.66,218.44,205.74,187.96,200.66,208.28,198.12,200.66,198.12,195.58,205.74,210.82,208.28,195.58,200.66,208.28,210.82,213.36,195.58,193.04,208.28,190.5,195.58,210.82,182.88,208.28,203.2,208.28,210.82,203.2,200.66,185.42,210.82,210.82,190.5,210.82,203.2,203.2,203.2,210.82,218.44,193.04,198.12,203.2,193.04,205.74,193.04,208.28,210.82,203.2,195.58,200.66,200.66,182.88,193.04,198.12,208.28,185.42,213.36,200.66,190.5,193.04,203.2,200.66,205.74,205.74,190.5,200.66,203.2,208.28,193.04,208.28,205.74,195.58,187.96,195.58,210.82,208.28,203.2,190.5,205.74,187.96,200.66,198.12,187.96,185.42,210.82,193.04,200.66,210.82,215.9,198.12,200.66,208.28,215.9,200.66,213.36,180.34,198.12,203.2,200.66,203.2,187.96,187.96,203.2,205.74,205.74,213.36,185.42,180.34,190.5,213.36,198.12,185.42,205.74,213.36,195.58,182.88,193.04,205.74,210.82,182.88,177.8,187.96,208.28,208.28,198.12,180.34,208.28,198.12,200.66,200.66,193.04,213.36,198.12,190.5,210.82,198.12,208.28,190.5,205.74,193.04,195.58,190.5,198.12,210.82,203.2,203.2,208.28,200.66,190.5,185.42,203.2,205.74,208.28,208.28,208.28,190.5,213.36,200.66,210.82,205.74,185.42,165.1,195.58,195.58,203.2,195.58,190.5,203.2,218.44,213.36,195.58,205.74,203.2,198.12,208.28,210.82,210.82,193.04,213.36,185.42,205.74,210.82,200.66,187.96,195.58,185.42,210.82,193.04,193.04,193.04,210.82,180.34,213.36,200.66,200.66,195.58,185.42,203.2,203.2,210.82,210.82,198.12,190.5,208.28,193.04,205.74,210.82,195.58,208.28,210.82,205.74,213.36,213.36,210.82,203.2,198.12,208.28,205.74,215.9,198.12,200.66,210.82,200.66,200.66,205.74,208.28,205.74,182.88,190.5,185.42,203.2,210.82,193.04,205.74,200.66,208.28,200.66,205.74,205.74,208.28,215.9,200.66,200.66,193.04,187.96,208.28,200.66,195.58,198.12,200.66,200.66,187.96,208.28,193.04,195.58,205.74,200.66,213.36,185.42,190.5,210.82,200.66,213.36,208.28,175.26,203.2,210.82,205.74,185.42,200.66,185.42,215.9,187.96,203.2,190.5,187.96,208.28,208.28,200.66,198.12,208.28,205.74,203.2,203.2,190.5,190.5,213.36,208.28,190.5,190.5,198.12,198.12,205.74,205.74,210.82,200.66,182.88,210.82,208.28,195.58,205.74,203.2,187.96,210.82,203.2,190.5,198.12,203.2,203.2,200.66,198.12,185.42,205.74,203.2,187.96,203.2,177.8,213.36,215.9,185.42,190.5,200.66,210.82,213.36,182.88,200.66,200.66,198.12,213.36,205.74,200.66,198.12,200.66,205.74,200.66,208.28,198.12,205.74,200.66,195.58,195.58,205.74,210.82,208.28,210.82,195.58,213.36,185.42,193.04,208.28,210.82,208.28,200.66,205.74,198.12,182.88,205.74,205.74,213.36,208.28,190.5,210.82,190.5,187.96,203.2,198.12,195.58,205.74,203.2,208.28,195.58,205.74,208.28,198.12,205.74,205.74,190.5,187.96,203.2,185.42,193.04,220.98,210.82,205.74,205.74,228.6,200.66,190.5,187.96,182.88,205.74,205.74,200.66,195.58,208.28,208.28,198.12,205.74,193.04,208.28,203.2,215.9,205.74,182.88,210.82,185.42,203.2,195.58,205.74,187.96,182.88,208.28,195.58,195.58,203.2,205.74,190.5,213.36,203.2,198.12,213.36,200.66,177.8,203.2,205.74,205.74,205.74,200.66,198.12,210.82,187.96,205.74,198.12,203.2,198.12,205.74,210.82,190.5,210.82,190.5,208.28,208.28,200.66,185.42,200.66,198.12,205.74,203.2,208.28,208.28,210.82,205.74,198.12,187.96,213.36,215.9,205.74,200.66,213.36,213.36,177.8,205.74,210.82,190.5,190.5,190.5,205.74,193.04,208.28,205.74,187.96,198.12,190.5,187.96,200.66,205.74,195.58,203.2,195.58,190.5,218.44,213.36,205.74,205.74,205.74,213.36,210.82,210.82,193.04,165.1,185.42,182.88,185.42,198.12,190.5,210.82,208.28,185.42,187.96,205.74,203.2,195.58,198.12,198.12,190.5,177.8,182.88,210.82,187.96,203.2,195.58,205.74,185.42,180.34,210.82,213.36,205.74,205.74,213.36,195.58,190.5,203.2,213.36,203.2,210.82,200.66,185.42,195.58,210.82,190.5,195.58,203.2,182.88,208.28,203.2,203.2,185.42,200.66,210.82,190.5,210.82,203.2,213.36,190.5,203.2,193.04,200.66,198.12,193.04,182.88,200.66,190.5,210.82,208.28,190.5,213.36,200.66,187.96,193.04,203.2,200.66,208.28,193.04,198.12,203.2,193.04,187.96,205.74,208.28,210.82,210.82,203.2,195.58,205.74,213.36,210.82,203.2,205.74,200.66,213.36,213.36,210.82,200.66,205.74,187.96,190.5,198.12,205.74,200.66,205.74,195.58,208.28,198.12,190.5,190.5,205.74,190.5,195.58,213.36,187.96,193.04,198.12,198.12,182.88,213.36,205.74,190.5,208.28,195.58,205.74,208.28,208.28,203.2,198.12,205.74,182.88,208.28,208.28,205.74,208.28,210.82,177.8,205.74,187.96,203.2,185.42,200.66,210.82,190.5,210.82,190.5,215.9,208.28,208.28,185.42,213.36,213.36,182.88,187.96,205.74,208.28,208.28,198.12,180.34,195.58,205.74,198.12,210.82,205.74,198.12,200.66,203.2,198.12,195.58,203.2,205.74,213.36,205.74,203.2,198.12,213.36,200.66,193.04,177.8,205.74,205.74,205.74,200.66,187.96,198.12,205.74,187.96,205.74,198.12,203.2,193.04,213.36,220.98,175.26,208.28,213.36,210.82,208.28,210.82,198.12,213.36,193.04,205.74,210.82,205.74,213.36,213.36,210.82,203.2,200.66,208.28,215.9,198.12,190.5,210.82,198.12,200.66,190.5,200.66,195.58,195.58,210.82,208.28,200.66,210.82,200.66,198.12,203.2,200.66,198.12,185.42,185.42,205.74,198.12,187.96,203.2,177.8,213.36,185.42,198.12,198.12,210.82,195.58,193.04,195.58,203.2,205.74,200.66,213.36,185.42,190.5,210.82,200.66,200.66,210.82,208.28,208.28,182.88,190.5,203.2,193.04,215.9,205.74,208.28,208.28,187.96,187.96,200.66,185.42,190.5,210.82,193.04,193.04,208.28,210.82,213.36,200.66,195.58,185.42,203.2,203.2,200.66,200.66,195.58,200.66,208.28,215.9,200.66,195.58,200.66,200.66,208.28,205.74,195.58,208.28,205.74,205.74,190.5,190.5,203.2,208.28,205.74,203.2,198.12,200.66,195.58,193.04,195.58,208.28,200.66,205.74,205.74,210.82,200.66,203.2,187.96,208.28,205.74,187.96,185.42,195.58,210.82,205.74,193.04,208.28,200.66,210.82,208.28,215.9,198.12,210.82,200.66,208.28,205.74,215.9,200.66,213.36,198.12,187.96,190.5,200.66,190.5,198.12,203.2,205.74,190.5,208.28,208.28,200.66,198.12,213.36,195.58,187.96,210.82,203.2,190.5,200.66,198.12,195.58,213.36,205.74,200.66,198.12,200.66,187.96,190.5,200.66,187.96,198.12,218.44,205.74,205.74,210.82,198.12,182.88,215.9,210.82,208.28,210.82,195.58,203.2,190.5,203.2,203.2,187.96,203.2,218.44,210.82,205.74,205.74,205.74,195.58,208.28,182.88,198.12,182.88,205.74,200.66,203.2,208.28,195.58,210.82,200.66,193.04,187.96,203.2,185.42,205.74,195.58,203.2,185.42,210.82,182.88,203.2,215.9,203.2,205.74,198.12,208.28,195.58,200.66,205.74,208.28,190.5,213.36,190.5,208.28,210.82,205.74,213.36,228.6,205.74,193.04,203.2,213.36,203.2,198.12,203.2,187.96,190.5,190.5,208.28,208.28,182.88,205.74,208.28,200.66,200.66,205.74,213.36,200.66,208.28,190.5,203.2,198.12,210.82,193.04,208.28,182.88,190.5,210.82,200.66,200.66,203.2,203.2,203.2,182.88,182.88,203.2,210.82,210.82,185.42,213.36,198.12,193.04,205.74,195.58,195.58,190.5,203.2,193.04,218.44,193.04,208.28,198.12,210.82,220.98,210.82,205.74,205.74,213.36,200.66,203.2,190.5,185.42,182.88,205.74,205.74,200.66,228.6,195.58,213.36,203.2,203.2,205.74,208.28,190.5,210.82,208.28,208.28,190.5,193.04,213.36,187.96,193.04,187.96,203.2,200.66,193.04,205.74,193.04,200.66,208.28,198.12,203.2,208.28,213.36,208.28,190.5,190.5,187.96,203.2,198.12,205.74,213.36,198.12,208.28,205.74,205.74,200.66,208.28,200.66,215.9,180.34,182.88,198.12,205.74,215.9,205.74,182.88,210.82,195.58,203.2,195.58,205.74,185.42,203.2,187.96,210.82,193.04,208.28,210.82,195.58,208.28,203.2,200.66,210.82,203.2,213.36,190.5,198.12,203.2,198.12,187.96,185.42,205.74,187.96,203.2,200.66,187.96,185.42,190.5,198.12,200.66,210.82,218.44,208.28,187.96,213.36,200.66,205.74,208.28,198.12,185.42,195.58,213.36,205.74,200.66,198.12,208.28,200.66,200.66,205.74,200.66,208.28,198.12,200.66,195.58,195.58,210.82,210.82,195.58,195.58,195.58,190.5,198.12,208.28,208.28,200.66,203.2,210.82,213.36,198.12,213.36,213.36,193.04,203.2,198.12,208.28,210.82,213.36,208.28,203.2,187.96,195.58,185.42,200.66,213.36,215.9,205.74,200.66,200.66,200.66,203.2,203.2,185.42,195.58,200.66,213.36,210.82,208.28,193.04,193.04,210.82,190.5,190.5,175.26,200.66,187.96,215.9,203.2,200.66,213.36,198.12,187.96,190.5,208.28,205.74,200.66,205.74,205.74,190.5,203.2,205.74,198.12,195.58,195.58,208.28,208.28,208.28,195.58,203.2,193.04,200.66,198.12,187.96,210.82,195.58,205.74,200.66,210.82,200.66,210.82,208.28,215.9,198.12,190.5,210.82,203.2,205.74,200.66,205.74,205.74,203.2,210.82,205.74,187.96,203.2,205.74,187.96,203.2,187.96,205.74,208.28,208.28,198.12,200.66,198.12,215.9,210.82,195.58,190.5,203.2,203.2,190.5,210.82,208.28,200.66,187.96,190.5,190.5,198.12,213.36,205.74,205.74,210.82,200.66,182.88,198.12,215.9,210.82,208.28,195.58,203.2,210.82,185.42,205.74,205.74,208.28,187.96,210.82,190.5,198.12,198.12,195.58,205.74,213.36,182.88,193.04,200.66,210.82,195.58,198.12,205.74,198.12,210.82,190.5,210.82,190.5,215.9,208.28,203.2,208.28,185.42,213.36,213.36,182.88,187.96,208.28,200.66,205.74,213.36,205.74,218.44,213.36,205.74,210.82,195.58,205.74,190.5,205.74,208.28,210.82,193.04,185.42,182.88,195.58,208.28,205.74,195.58,195.58,205.74,205.74,205.74,210.82,193.04,213.36,203.2,195.58,190.5,203.2,185.42,190.5,190.5,195.58,182.88,200.66,180.34,203.2,200.66,187.96,213.36,205.74,200.66,213.36,205.74,213.36,205.74,187.96,190.5,195.58,198.12,208.28,210.82,187.96,210.82,205.74,182.88,213.36,190.5,203.2,208.28,205.74,210.82,208.28,203.2,198.12,195.58,213.36,182.88,208.28,208.28,203.2,198.12,200.66,205.74,205.74,210.82,198.12,187.96,200.66,213.36,205.74,205.74,203.2,177.8,200.66,213.36,198.12,198.12,205.74,208.28,193.04,203.2,195.58,208.28,190.5,190.5,205.74,190.5,205.74,187.96,185.42,198.12,203.2,213.36,187.96,213.36,210.82,208.28,193.04,210.82,203.2,185.42,198.12,187.96,198.12,215.9,205.74,208.28,200.66,195.58,200.66,187.96,185.42,210.82,208.28,200.66,195.58,195.58,182.88,195.58,200.66,213.36,200.66,200.66,200.66,203.2,201.0,203.2,195.58,213.36,210.82,213.36,187.96,198.12,205.74,185.42,187.96,198.12,198.12,200.66,208.28,200.66,210.82,195.58,198.12,208.28,218.44,203.2,177.8,213.36,185.42,195.58,203.2,205.74,187.96,213.36,193.04,203.2,182.88,198.12,210.82,213.36,208.28,208.28,175.26,200.66,190.5,208.28,193.04,200.66,203.2,210.82,205.74,203.2,195.58,205.74,185.42,203.2,187.96,210.82,193.04,185.42,208.28,210.82,208.28,203.2,180.34,200.66,205.74,208.28,220.98,210.82,205.74,213.36,200.66,203.2,190.5,187.96,182.88,195.58,193.04,208.28,198.12,203.2,215.9,198.12,198.12,198.12,200.66,190.5,208.28,182.88,208.28,205.74,208.28,200.66,200.66,210.82,198.12,213.36,200.66,205.74,208.28,190.5,203.2,205.74,193.04,200.66,205.74,182.88,185.42,213.36,208.28,190.5,190.5,203.2,198.12,190.5,198.12,208.28,205.74,200.66,208.28,215.9,213.36,205.74,208.28,198.12,198.12,210.82,187.96,208.28,203.2,195.58,198.12,205.74,213.36,205.74,205.74,182.88,210.82,203.2,205.74,203.2,213.36,182.88,187.96,182.88,187.96,205.74,208.28,205.74,198.12,195.58,205.74,198.12,195.58,200.66,182.88,180.34,213.36,205.74,200.66,208.28,210.82,193.04,213.36,165.1,208.28,208.28,185.42,213.36,203.2,205.74,208.28,190.5,190.5,185.42,210.82,205.74,205.74,200.66,203.2,213.36,195.58,190.5,185.42,210.82,190.5,190.5,195.58,203.2,195.58,190.5,213.36,203.2,190.5,203.2,205.74,187.96,213.36,213.36,205.74,205.74,205.74,198.12,203.2,198.12,198.12,185.42,203.2,213.36,203.2,213.36,198.12,205.74,205.74,185.42,200.66,208.28,208.28,190.5,200.66,187.96,210.82,210.82,190.5,200.66,200.66,203.2,198.12,190.5,187.96,190.5,205.74,213.36,187.96,198.12,210.82,210.82,205.74,205.74,208.28,182.88,213.36,198.12,203.2,208.28,208.28,198.12,200.66,213.36,213.36,190.5,190.5,210.82,195.58,205.74,198.12,200.66,205.74,208.28,198.12,195.58,190.5,187.96,205.74,210.82,210.82,208.28,208.28,208.28,208.28,200.66,205.74,205.74,210.82,208.28,195.58,200.66,190.5,190.5,198.12,213.36,205.74,205.74,187.96,210.82,195.58,205.74,200.66,208.28,213.36,182.88,187.96,208.28,198.12,190.5,200.66,208.28,205.74,205.74,193.04,203.2,208.28,200.66,182.88,198.12,198.12,215.9,210.82,195.58,187.96,210.82,198.12,208.28,193.04,190.5,198.12,185.42,195.58,198.12,200.66,208.28,190.5,205.74,215.9,210.82,208.28,195.58,203.2,190.5,203.2,190.5,187.96,205.74,185.42,203.2,205.74,187.96,203.2,198.12,200.66,213.36,203.2,210.82,195.58,182.88,195.58,205.74,193.04,210.82,198.12,210.82,190.5,195.58,203.2,182.88,195.58,213.36,205.74,198.12,220.98,190.5,213.36,200.66,198.12,187.96,195.58,208.28,200.66,205.74,190.5,203.2,213.36,205.74,218.44,193.04,203.2,203.2,203.2,210.82,205.74,187.96,210.82,193.04,198.12,205.74,190.5,193.04,203.2,200.66,208.28,205.74,215.9,210.82,205.74,185.42,210.82,190.5,185.42,200.66,210.82,190.5,210.82,203.2,213.36,190.5,203.2,193.04,200.66,198.12,213.36,187.96,200.66,215.9,190.5,195.58,190.5,208.28,210.82,200.66,185.42,210.82,213.36,182.88,187.96,208.28,195.58,200.66,198.12,205.74,198.12,195.58,208.28,200.66,182.88,213.36,205.74,203.2,195.58,198.12,210.82,198.12,210.82,210.82,208.28,198.12,203.2,213.36,208.28,203.2,185.42,198.12,198.12,203.2,205.74,190.5,205.74,213.36,213.36,187.96,198.12,205.74,187.96,205.74,198.12,203.2,200.66,200.66,205.74,200.66,210.82,187.96,213.36,213.36,200.66,208.28,190.5,203.2,198.12,193.04,218.44,208.28,187.96,210.82,200.66,195.58,187.96,195.58,200.66,213.36,200.66,200.66,203.2,201.0,203.2,185.42,200.66,190.5,205.74,190.5,208.28,203.2,198.12,203.2,205.74,213.36,205.74,205.74,182.88,210.82,205.74,205.74,210.82,200.66,200.66,210.82,203.2,213.36,195.58,190.5,185.42,190.5,203.2,205.74,208.28,190.5,205.74,190.5,190.5,203.2,187.96,210.82,193.04,187.96,215.9,210.82,210.82,208.28,203.2,200.66,205.74,198.12,205.74,182.88,185.42,208.28,190.5,190.5,203.2,198.12,190.5,215.9,198.12,205.74,203.2,203.2,195.58,205.74,220.98,210.82,205.74,190.5,213.36,228.6,198.12,203.2,193.04,190.5,182.88,195.58,200.66,193.04,195.58,208.28,198.12,203.2,215.9,208.28,198.12,205.74,180.34,210.82,208.28,195.58,215.9,205.74,210.82,198.12,187.96,213.36,205.74,200.66,213.36,213.36,213.36,193.04,205.74,210.82,187.96,198.12,210.82,205.74,200.66,193.04,205.74,190.5,195.58,210.82,187.96,190.5,195.58,205.74,208.28,198.12,205.74,200.66,200.66,215.9,193.04,203.2,208.28,210.82,182.88,208.28,200.66,200.66,210.82,205.74,198.12,187.96,182.88,213.36,190.5,205.74,208.28,208.28,203.2,205.74,218.44,180.34,200.66,213.36,193.04,193.04,203.2,205.74,195.58,208.28,205.74,205.74,210.82,208.28,200.66,205.74,190.5,205.74,193.04,213.36,205.74,205.74,210.82,200.66,182.88,198.12,215.9,210.82,208.28,195.58,200.66,198.12,205.74,208.28,200.66,210.82,205.74,187.96,205.74,190.5,210.82,198.12,190.5,210.82,193.04,200.66,208.28,205.74,215.9,203.2,200.66,213.36,180.34,198.12,193.04,200.66,182.88,193.04,187.96,208.28,190.5,203.2,200.66,210.82,198.12,203.2,208.28,198.12,195.58,195.58,210.82,208.28,200.66,208.28,198.12,198.12,187.96,185.42,205.74,198.12,203.2,185.42,190.5,200.66,193.04,175.26,208.28,213.36,210.82,208.28,200.66,203.2,208.28,200.66,201.0,205.74,208.28,190.5,203.2,190.5,203.2,205.74,185.42,203.2,205.74,205.74,200.66,187.96,203.2,205.74,190.5,208.28,195.58,198.12,215.9,210.82,195.58,187.96,210.82,210.82,193.04,187.96,195.58,198.12,200.66,205.74,193.04,210.82,185.42,208.28,185.42,203.2,208.28,205.74,208.28,185.42,190.5,190.5,210.82,208.28,208.28,200.66,208.28,213.36,200.66,205.74,210.82,198.12,200.66,193.04,185.42,193.04,200.66,193.04,205.74,208.28,190.5,165.1,193.04,190.5,185.42,195.58,198.12,198.12,198.12,205.74,180.34,208.28,200.66,203.2,203.2,213.36,182.88,205.74,203.2,200.66,195.58,193.04,205.74,213.36,193.04,210.82,210.82,205.74,208.28,210.82,213.36,203.2,187.96,210.82,203.2,182.88,198.12,195.58,200.66,203.2,203.2,195.58,200.66,190.5,210.82,213.36,203.2,203.2,213.36,198.12,210.82,210.82,205.74,198.12,198.12,205.74,213.36,213.36,218.44,220.98,213.36,208.28,198.12,193.04,210.82,205.74,195.58,182.88,187.96,182.88,205.74,193.04,210.82,205.74,208.28,198.12,210.82,208.28,203.2,203.2,190.5,205.74,193.04,200.66,203.2,210.82,195.58,213.36,187.96,213.36,190.5,210.82,208.28,198.12,193.04,205.74,182.88,218.44,203.2,175.26,195.58,205.74,210.82,198.12,208.28,213.36,220.98,182.88,193.04,203.2,200.66,205.74,198.12,187.96,213.36,213.36,205.74,205.74,177.8,205.74,213.36,198.12,190.5,185.42,203.2,208.28,213.36,203.2,205.74,198.12,203.2,203.2,208.28,203.2,182.88,213.36,210.82,185.42,210.82,208.28,190.5,200.66,210.82,190.5,210.82,205.74,200.66,200.66,203.2,198.12,208.28,187.96,213.36,187.96,198.12,195.58,210.82,210.82,205.74,210.82,198.12,198.12,198.12,205.74,208.28,208.28,205.74,213.36,187.96,200.66,200.66,213.36,190.5,205.74,190.5,205.74,190.5,190.5,190.5,187.96,210.82,195.58,190.5,203.2,210.82,198.12,195.58,185.42,205.74,213.36,213.36,200.66,198.12,205.74,193.04,210.82,208.28,205.74,210.82,190.5,195.58,193.04,205.74,210.82,190.5,205.74,203.2,190.5,208.28,200.66,213.36,213.36,165.1,208.28,200.66,208.28,210.82,190.5,190.5,205.74,185.42,210.82,208.28,205.74,196.0,208.28,198.12,203.2,213.36,208.28,185.42,203.2,190.5,185.42,205.74,187.96,210.82,200.66,198.12,198.12,195.58,203.2,205.74,195.58,182.88,200.66,208.28,195.58,180.34,190.5,195.58,198.12,208.28,210.82,208.28,198.12,190.5,195.58,213.36,195.58,210.82,200.66,200.66,198.12,210.82,205.74,205.74,210.82,182.88,213.36,193.04,200.66,203.2,203.2,203.2,213.36,198.12,190.5,193.04,208.28,200.66,195.58,185.42,203.2,190.5,201.0,203.2,200.66,200.66,193.04,213.36,185.42,195.58,195.58,200.66,187.96,208.28,218.44,193.04,198.12,203.2,190.5,208.28,200.66,213.36,203.2,198.12,187.96,195.58,198.12,198.12,198.12,210.82,187.96,185.42,205.74,187.96,203.2,213.36,185.42,190.5,198.12,198.12,175.26,208.28,210.82,208.28,200.66,200.66,203.2,203.2,213.36,182.88,205.74,205.74,205.74,193.04,187.96,187.96,213.36,210.82,203.2,213.36,210.82,200.66,208.28,193.04,205.74,203.2,203.2,195.58,208.28,205.74,210.82,180.34,205.74,182.88,198.12,208.28,215.9,203.2,208.28,198.12,210.82,205.74,213.36,195.58,198.12,203.2,203.2,190.5,195.58,200.66,193.04,182.88,195.58,208.28,182.88,198.12,187.96,193.04,182.88,213.36,208.28,203.2,193.04,200.66,200.66,205.74,205.74,190.5,215.9,208.28,215.9,190.5,203.2,190.5,190.5,187.96,203.2,215.9,210.82,210.82,203.2,210.82,200.66,193.04,205.74,205.74,182.88,185.42,208.28,198.12,208.28,203.2,210.82,193.04,200.66,205.74,215.9,213.36,180.34,198.12,193.04,200.66,208.28,208.28,182.88,193.04,187.96,210.82,200.66,208.28,190.5,203.2,203.2,208.28,200.66,208.28,187.96,205.74,193.04,198.12,180.34,208.28,205.74,208.28,200.66,187.96,190.5,200.66,195.58,205.74,203.2,203.2,210.82,185.42,200.66,210.82,190.5,213.36,193.04,200.66,198.12,213.36,187.96,210.82,198.12,187.96,213.36,190.5,210.82,208.28,200.66,187.96,205.74,187.96,210.82,213.36,205.74,201.0,190.5,210.82,203.2,195.58,205.74,185.42,203.2,205.74,205.74,200.66,187.96,203.2,205.74,195.58,205.74,195.58,198.12,195.58,203.2,215.9,195.58,210.82,205.74,193.04,187.96,208.28,198.12,200.66,205.74,200.66,208.28,198.12,195.58,195.58,210.82,190.5,208.28,203.2,213.36,198.12,200.66,193.04,190.5,205.74,205.74,200.66,205.74,205.74,185.42,203.2,190.5,208.28,208.28,205.74,210.82,200.66,210.82,200.66,195.58,205.74,203.2,195.58,200.66,210.82,182.88,208.28,198.12,190.5,215.9,210.82,213.36,198.12,205.74,210.82,200.66,185.42,208.28,182.88,208.28,203.2,190.5,190.5,200.66,208.28,200.66,208.28,215.9,190.5,203.2,190.5,203.2,190.5,208.28,205.74,193.04,193.04,203.2,208.28,200.66,210.82,205.74,198.12,200.66,205.74,198.12,185.42,190.5,193.04,208.28,210.82,218.44,195.58,190.5,201.0,200.66,200.66,193.04,213.36,213.36,195.58,187.96,195.58,200.66,187.96,185.42,193.04,198.12,198.12,208.28,193.04,200.66,195.58,195.58,182.88,187.96,190.5,203.2,198.12,205.74,210.82,200.66,208.28,203.2,180.34,190.5,208.28,200.66,193.04,210.82,208.28,208.28,203.2,193.04,205.74,210.82,203.2,215.9,198.12,200.66,203.2,208.28,210.82,210.82,210.82,215.9,203.2,187.96,193.04,187.96,205.74,198.12,205.74,203.2,203.2,205.74,210.82,180.34,205.74,203.2,213.36,198.12,208.28,190.5,205.74,203.2,203.2,182.88,213.36,205.74,200.66,205.74,210.82,200.66,182.88,208.28,203.2,190.5,210.82,208.28,195.58,203.2,200.66,210.82,205.74,198.12,203.2,190.5,205.74,185.42,203.2,205.74,205.74,198.12,200.66,193.04,198.12,198.12,208.28,187.96,205.74,193.04,198.12,180.34,198.12,205.74,200.66,195.58,185.42,187.96,193.04,203.2,195.58,205.74,205.74,210.82,203.2,208.28,200.66,198.12,205.74,190.5,200.66,208.28,203.2,210.82,205.74,187.96,203.2,203.2,210.82,205.74,185.42,190.5,195.58,175.26,208.28,210.82,208.28,205.74,200.66,210.82,213.36,187.96,187.96,193.04,213.36,205.74,195.58,198.12,190.5,185.42,205.74,203.2,213.36,185.42,200.66,185.42,195.58,205.74,198.12,195.58,215.9,210.82,195.58,210.82,205.74,193.04,187.96,198.12,208.28,187.96,208.28,200.66,205.74,200.66,208.28,198.12,203.2,200.66,215.9,208.28,200.66,198.12,180.34,182.88,210.82,185.42,208.28,213.36,208.28,205.74,208.28,210.82,185.42,190.5,190.5,208.28,198.12,200.66,213.36,210.82,200.66,198.12,193.04,187.96,203.2,195.58,200.66,205.74,208.28,213.36,193.04,193.04,210.82,203.2,203.2,213.36,195.58,185.42,190.5,208.28,203.2,205.74,190.5,190.5,210.82,193.04,213.36,205.74,195.58,190.5,213.36,205.74,193.04,200.66,208.28,210.82,193.04,200.66,203.2,210.82,200.66,210.82,185.42,193.04,200.66,210.82,205.74,190.5,205.74,213.36,193.04,200.66,198.12,213.36,187.96,210.82,201.0,205.74,205.74,187.96,200.66,205.74,195.58,203.2,205.74,195.58,198.12,208.28,210.82,193.04,208.28,205.74,218.44,203.2,220.98,208.28,208.28,210.82,203.2,195.58,182.88,203.2,182.88,205.74,193.04,198.12,213.36,198.12,190.5,195.58,182.88,175.26,200.66,198.12,210.82,208.28,208.28,195.58,210.82,193.04,187.96,190.5,190.5,190.5,208.28,205.74,208.28,203.2,195.58,208.28,203.2,185.42,190.5,198.12,198.12,213.36,185.42,213.36,203.2,210.82,195.58,208.28,187.96,213.36,205.74,208.28,208.28,205.74,198.12,198.12,198.12,198.12,210.82,213.36,205.74,210.82,208.28,198.12,187.96,213.36,205.74,213.36,190.5,205.74,213.36,205.74,210.82,187.96,198.12,205.74,190.5,195.58,182.88,205.74,203.2,195.58,198.12,190.5,198.12,200.66,187.96,195.58,208.28,203.2,198.12,203.2,187.96,203.2,193.04,213.36,205.74,182.88,205.74,205.74,208.28,190.5,198.12,210.82,205.74,198.12,203.2,200.66,200.66,205.74,190.5,210.82,200.66,190.5,208.28,205.74,210.82,200.66,185.42,210.82,198.12,213.36,182.88,187.96,203.2,208.28,185.42,198.12,203.2,187.96,198.12,208.28,210.82,198.12,190.5,187.96,200.66,210.82,193.04,200.66,205.74,208.28,213.36,215.9,205.74,203.2,208.28,208.28,195.58,210.82,193.04,187.96,213.36,213.36,185.42,198.12,190.5,185.42,208.28,203.2,208.28,195.58,198.12,190.5,203.2,195.58,190.5,208.28,208.28,185.42,198.12,182.88,200.66,201.0,190.5,203.2,200.66,185.42,190.5,195.58,200.66,208.28,193.04,205.74,190.5,198.12,205.74,200.66,180.34,182.88,210.82,210.82,187.96,203.2,205.74,213.36,185.42,200.66,198.12,198.12,182.88,195.58,205.74,190.5,200.66,208.28,205.74,198.12,203.2,187.96,203.2,195.58,193.04,182.88,205.74,205.74,210.82,198.12,200.66,200.66,210.82,203.2,185.42,185.42,205.74,190.5,205.74,210.82,205.74,205.74,203.2,200.66,200.66,200.66,177.8,205.74,210.82,210.82,200.66,190.5,208.28,195.58,210.82,203.2,200.66,198.12,213.36,182.88,205.74,187.96,205.74,198.12,213.36,193.04,193.04,195.58,205.74,198.12,193.04,205.74,210.82,193.04,203.2,215.9,190.5,198.12,213.36,205.74,210.82,180.34,205.74,185.42,203.2,203.2,205.74,195.58,205.74,198.12,200.66,187.96,203.2,193.04,198.12,193.04,195.58,187.96,200.66,213.36,205.74,213.36,213.36,205.74,213.36,205.74,203.2,208.28,200.66,195.58,203.2,195.58,205.74,198.12,210.82,205.74,198.12,203.2,190.5,182.88,198.12,210.82,193.04,187.96,205.74,198.12,187.96,200.66,208.28,200.66,200.66,210.82,210.82,213.36,200.66,208.28,203.2,190.5,203.2,203.2,193.04,218.44,208.28,187.96,200.66,190.5,195.58,213.36,213.36,215.9,200.66,180.34,193.04,215.9,198.12,210.82,210.82,208.28,203.2,200.66,198.12,205.74,205.74,205.74,213.36,208.28,190.5,190.5,203.2,190.5,215.9,208.28,200.66,190.5,205.74,200.66,208.28,200.66,203.2,213.36,208.28,203.2,200.66,203.2,195.58,210.82,190.5,203.2,208.28,182.88,200.66,205.74,205.74,203.2,200.66,203.2,213.36,185.42,193.04,200.66,205.74,190.5,205.74,213.36,200.66,213.36,187.96,210.82,205.74,203.2,190.5,200.66,210.82,205.74,200.66,208.28,187.96,208.28,187.96,193.04,205.74,195.58,210.82,210.82,215.9,198.12,195.58,205.74,185.42,205.74,187.96,205.74,205.74,203.2,185.42,205.74,195.58,195.58,201.0,205.74,205.74,203.2,208.28,208.28,205.74,205.74,193.04,198.12,213.36,200.66,195.58,213.36,185.42,190.5,193.04,203.2,195.58,195.58,205.74,205.74,210.82,208.28,200.66,208.28,203.2,193.04,200.66,208.28,208.28,190.5,200.66,187.96,213.36,200.66,205.74,195.58,190.5,208.28,210.82,190.5,187.96,200.66,210.82,208.28,193.04,205.74,208.28,210.82,193.04,180.34,198.12,193.04,208.28,208.28,210.82,193.04,187.96,200.66,190.5,193.04,208.28,198.12,200.66,200.66,190.5,198.12,193.04,190.5,203.2,195.58,200.66,205.74,203.2,205.74,198.12,190.5,203.2,210.82,210.82,213.36,208.28,210.82,198.12,208.28,213.36,203.2,208.28,208.28,190.5,193.04,190.5,213.36,210.82,193.04,193.04,195.58,213.36,190.5,213.36,205.74,193.04,200.66,220.98,208.28,210.82,193.04,193.04,208.28,185.42,208.28,208.28,203.2,196.0,205.74,210.82,185.42,190.5,208.28,208.28,210.82,208.28,198.12,210.82,190.5,208.28,193.04,175.26,195.58,190.5,190.5,185.42,205.74,200.66,213.36,203.2,210.82,203.2,187.96,198.12,205.74,185.42,200.66,198.12,208.28,215.9,200.66,210.82,205.74,203.2,213.36,203.2,190.5,210.82,195.58,182.88,175.26,182.88,182.88,205.74,193.04,198.12,213.36,210.82,198.12,190.5,195.58,182.88,198.12,195.58,195.58,195.58,205.74,213.36,213.36,193.04,187.96,195.58,208.28,190.5,210.82,210.82,187.96,182.88,213.36,200.66,208.28,208.28,205.74,205.74,198.12,198.12,210.82,198.12,198.12,205.74,198.12,215.9,218.44,208.28,213.36,195.58,187.96,200.66,208.28,190.5,190.5,205.74,213.36,205.74,213.36,198.12,210.82,198.12,185.42,200.66,208.28,193.04,208.28,208.28,193.04,213.36,203.0,190.5,187.96,200.66,210.82,193.04,198.12,205.74,203.2,205.74,185.42,205.74,210.82,210.82,193.04,180.34,198.12,200.66,193.04,208.28,203.2,203.2,200.66,187.96,187.96,210.82,205.74,203.2,190.5,195.58,190.5,205.74,185.42,203.2,213.36,205.74,205.74,187.96,205.74,195.58,210.82,190.5,203.2,195.58,195.58,205.74,205.74,210.82,208.28,200.66,190.5,200.66,193.04,200.66,198.12,213.36,203.2,205.74,205.74,200.66,182.88,208.28,208.28,195.58,210.82,190.5,210.82,203.2,205.74,198.12,200.66,190.5,203.2,210.82,200.66,208.28,208.28,210.82,198.12,203.2,213.36,208.28,208.28,198.12,210.82,195.58,203.2,190.5,193.04,198.12,196.0,205.74,210.82,185.42,193.04,208.28,193.04,208.28,200.66,200.66,210.82,200.66,208.28,190.5,198.12,193.04,193.04,203.2,205.74,190.5,195.58,185.42,193.04,200.66,205.74,205.74,190.5,200.66,198.12,198.12,213.36,195.58,201.0,205.74,205.74,187.96,213.36,200.66,203.2,187.96,205.74,203.2,205.74,182.88,175.26,182.88,182.88,205.74,193.04,198.12,205.74,203.2,213.36,195.58,203.2,205.74,198.12,195.58,195.58,182.88,200.66,195.58,210.82,205.74,190.5,215.9,210.82,190.5,226.06,200.66,198.12,215.9,190.5,190.5,208.28,208.28,203.2,205.74,210.82,205.74,205.74,200.66,200.66,203.2,213.36,208.28,200.66,200.66,218.44,203.2,215.9,182.88,190.5,208.28,213.36,210.82,208.28,210.82,182.88,208.28,200.66,187.96,198.12,185.42,180.34,190.5,193.04,210.82,210.82,185.42,203.2,193.04,205.74,193.04,198.12,193.04,200.66,195.58,215.9,198.12,183.0,190.5,203.2,198.12,195.58,205.74,210.82,195.58,182.88,208.28,198.12,213.36,198.12,215.9,205.74,187.96,193.04,187.96,200.66,198.12,195.58,208.28,203.2,203.2,185.42,205.74,193.04,180.34,190.5,205.74,190.5,208.28,187.96,195.58,203.2,210.82,203.2,210.82,213.36,205.74,208.28,185.42,190.5,203.2,175.26,208.28,210.82,210.82,198.12,208.28,190.5,200.66,203.2,193.04,205.74,185.42,200.66,210.82,195.58,205.74,193.04,193.04,187.96,208.28,208.28,208.28,200.66,205.74,210.82,200.66,208.28,193.04,205.74,215.9,208.28,198.12,198.12,198.12,208.28,213.36,200.66,185.42,190.5,193.04,200.66,190.5,185.42,200.66,205.74,203.2,201.0,200.66,200.66,193.04,205.74,205.74,213.36,213.36,190.5,200.66,180.34,210.82,208.28,187.96,195.58,213.36,213.36,205.74,203.2,198.12,198.12,190.5,185.42,196.0,205.74,182.88,213.36,205.74,203.2,200.66,210.82,210.82,208.28,195.58,213.36,208.28,195.58,210.82,193.04,187.96,190.5,195.58,190.5,208.28,205.74,208.28,203.2,203.2,195.58,205.74,208.28,208.28,185.42,190.5,198.12,213.36,185.42,213.36,205.74,185.42,187.96,193.04,198.12,195.58,205.74,203.2,205.74,195.58,195.58,208.28,187.96,182.88,205.74,208.28,208.28,208.28,205.74,198.12,198.12,215.9,198.12,218.44,198.12,203.2,198.12,205.74,210.82,195.58,210.82,198.12,187.96,200.66,213.36,205.74,213.36,205.74,203.2,203.2,208.28,208.28,205.74,213.36,200.66,180.34,208.28,205.74,210.82,200.66,200.66,210.82,203.2,185.42,190.5,208.28,190.5,203.2,190.5,205.74,198.12,193.04,213.36,190.5,213.36,205.74,203.2,200.66,205.74,190.5,210.82,210.82,193.04,203.2,193.04,213.36,182.88,208.28,193.04,203.2,198.12,182.88,213.36,198.12,200.66,208.28,203.2,205.74,200.66,210.82,210.82,200.66,205.74,210.82,213.36,208.28,205.74,210.82,198.12,203.2,205.74,208.28,208.28,190.5,198.12,203.2,182.88,195.58,190.5,205.74,198.12,208.28,205.74,210.82,200.66,198.12,215.9,193.04,200.66,208.28,208.28,208.28,205.74,205.74,203.2,187.96,193.04,193.04,195.58,210.82,190.5,215.9,198.12,205.74,205.74,190.5,200.66,208.28,205.74,187.96,193.04,205.74,205.74,213.36,210.82,208.28,208.28,198.12,203.2,200.66,208.28,185.42,210.82,208.28,175.26,210.82,203.2,182.88,185.42,208.28,205.74,210.82,203.2,210.82,203.2,210.82,200.66,210.82,203.2,205.74,195.58,195.58,203.2,208.28,193.04,185.42,200.66,213.36,185.42,200.66,213.36,208.28,198.12,200.66,198.12,208.28,198.12,205.74,193.04,205.74,198.12,208.28,200.66,195.58,190.5,213.36,213.36,200.66,205.74,185.42,205.74,195.58,190.5,203.2,205.74,205.74,187.96,203.2,195.58,195.58,210.82,208.28,190.5,208.28,182.88,200.66,205.74,220.98,205.74,203.2,213.36,198.12,200.66,193.04,203.2,203.2,213.36,190.5,195.58,205.74,215.9,198.12,185.42,210.82,220.98,210.82,208.28,200.66,203.2,200.66,187.96,187.96,200.66,205.74,205.74,205.74,203.2,187.96,213.36,208.28,190.5,190.5,200.66,215.9,198.12,205.74,198.12,193.04,200.66,195.58,190.5,208.28,213.36,198.12,195.58,200.66,193.04,198.12,193.04,203.2,187.96,187.96,215.9,213.36,193.04,205.74,190.5,180.34,193.04,205.74,208.28,185.42,203.2,203.2,198.12,198.12,205.74,200.66,210.82,190.5,200.66,185.42,190.5,185.42,200.66,198.12,193.04,190.5,205.74,185.42,195.58,200.66,200.66,200.66,203.2,205.74,213.36,182.88,205.74,185.42,195.58,190.5,198.12,198.12,203.2,180.34,190.5,208.28,205.74,200.66,180.34,185.42,198.12,187.96,200.66,208.28,193.04,200.66,210.82,205.74,218.44,193.04,210.82,208.28,190.5,182.88,215.9,203.2,218.44,187.96,200.66,195.58,203.2,213.36,213.36,213.36,203.2,185.42,208.28,195.58,210.82,185.42,193.04,208.28,193.04,208.28,200.66,200.66,210.82,213.36,198.12,193.04,193.04,190.5,200.66,195.58,210.82,200.66,190.5,203.2,210.82,210.82,208.28,198.12,205.74,196.0,198.12,193.04,210.82,203.2,195.58,185.42,190.5,208.28,190.5,203.2,198.12,190.5,198.12,213.36,203.2,193.04,190.5,213.36,203.2,200.66,208.28,205.74,210.82,210.82,193.04,193.04,208.28,220.98,213.36,213.36,208.28,203.2,208.28,205.74,190.5,213.36,187.96,210.82,205.74,205.74,187.96,213.36,203.2,205.74,200.66,195.58,193.04,190.5,187.96,200.66,210.82,193.04,198.12,203.2,200.66,187.96,205.74,205.74,190.5,200.66,205.74,193.04,190.5,210.82,195.58,182.88,175.26,182.88,182.88,205.74,200.66,193.04,198.12,205.74,200.66,205.74,203.2,198.12,210.82,195.58,182.88,198.12,200.66,195.58,205.74,203.2,205.74,198.12,213.36,200.66,210.82,205.74,210.82,198.12,190.5,200.66,213.36,213.36,190.5,205.74,203.2,203.2,200.66,208.28,210.82,195.58,195.58,208.28,195.58,193.04,187.96,200.66,195.58,190.5,205.74,208.28,220.98,210.82,203.2,203.2,205.74,198.12,200.66,187.96,195.58,195.58,198.12,213.36,208.28,208.28,205.74,193.04,193.04,210.82,208.28,210.82,198.12,208.28,208.28,208.28,205.74,198.12,203.2,198.12,215.9,208.28,218.44,198.12,205.74,195.58,203.2,208.28,210.82,198.12,203.2,203.2,208.28,213.36,210.82,205.74,205.74,190.5,200.66,195.58,182.88,208.28,182.88,198.12,190.5,203.2,205.74,208.28,198.12,203.2,205.74,182.88,198.12,205.74,195.58,195.58,210.82,198.12,198.12,203.2,185.42,190.5,198.12,187.96,213.36,205.74,185.42,198.12,187.96,193.04,213.36,198.12,205.74,190.5,205.74,203.2,200.66,208.28,210.82,210.82,200.66,208.28,210.82,205.74,195.58,210.82,190.5,198.12,198.12,193.04,203.2,187.96,215.9,198.12,213.36,177.8,193.04,190.5,180.34,200.66,193.04,193.04,208.28,185.42,203.2,203.2,198.12,200.66,187.96,193.04,187.96,200.66,205.74,198.12,205.74,215.9,193.04,200.66,193.04,198.12,208.28,200.66,190.5,203.2,195.58,208.28,187.96,195.58,195.58,198.12,195.58,187.96,208.28,208.28,210.82,205.74,195.58,182.88,203.2,210.82,210.82,213.36,198.12,195.58,213.36,198.12,198.12,185.42,190.5,193.04,200.66,205.74,218.44,210.82,208.28,190.5,215.9,203.2,218.44,187.96,208.28,200.66,195.58,193.04,203.2,213.36,205.74,193.04,208.28,200.66,201.0,190.5,200.66,185.42,193.04,190.5,187.96,198.12,210.82,215.9,208.28,203.2,200.66,187.96,200.66,205.74,203.2,205.74,205.74,203.2,187.96,213.36,208.28,213.36,190.5,200.66,215.9,198.12,200.66,210.82,190.5,198.12,205.74,200.66,185.42,205.74,205.74,198.12,213.36,190.5,210.82,195.58,198.12,205.74,193.04,193.04,203.2,208.28,208.28,208.28,213.36,215.9,205.74,200.66,193.04,205.74,205.74,200.66,215.9,208.28,198.12,200.66,200.66,185.42,205.74,210.82,198.12,195.58,195.58,220.98,205.74,200.66,182.88,208.28,203.2,208.28,190.5,210.82,195.58,195.58,203.2,187.96,205.74,210.82,205.74,203.2,190.5,185.42,203.2,213.36,205.74,205.74,205.74,198.12,195.58,190.5,203.2,185.42,210.82,213.36,198.12,205.74,182.88,213.36,213.36,200.66,203.2,205.74,208.28,208.28,205.74,195.58,208.28,195.58,185.42,200.66,203.2,213.36,175.26,200.66,213.36,198.12,213.36,200.66,198.12,208.28,203.2,208.28,208.28,205.74,210.82,205.74,205.74,190.5,203.2,210.82,208.28,210.82,210.82,208.28,200.66,203.2,203.2,193.04,198.12,208.28,208.28,213.36,205.74,193.04,187.96,203.2,213.36,205.74,203.2,198.12,205.74,203.2,198.12,193.04,190.5,200.66,198.12,203.2,198.12,208.28,210.82,208.28,190.5,213.36,198.12,182.88,195.58,208.28,205.74,190.5,205.74,210.82,213.36,208.28,210.82,182.88,205.74,208.28,208.28,205.74,187.96,195.58,205.74,182.88,198.12,213.36,193.04,210.82,208.28,213.36,190.5,198.12,203.2,190.5,200.66,208.28,190.5,198.12,185.42,185.42,195.58,195.58,203.2,210.82,200.66,198.12,198.12,210.82,208.28,205.74,193.04,205.74,210.82,210.82,208.28,200.66,193.04,195.58,208.28,205.74,195.58,203.2,195.58,210.82,200.66,203.2,203.2,205.74,187.96,198.12,200.66,198.12,210.82,210.82,205.74,198.12,198.12,218.44,200.66,215.9,198.12,198.12,213.36,200.66,205.74,195.58,190.5,195.58,198.12,190.5,187.96,193.04,190.5,205.74,213.36,208.28,187.96,185.42,198.12,190.5,185.42,205.74,203.2,208.28,195.58,203.2,203.2,210.82,187.96,220.98,208.28,205.74,190.5,203.2,205.74,213.36,203.2,210.82,200.66,190.5,193.04,190.5,195.58,205.74,213.36,187.96,205.74,200.66,187.96,193.04,213.36,190.5,205.74,208.28,200.66,205.74,200.66,198.12,205.74,203.2,205.74,195.58,200.66,205.74,198.12,203.2,200.66,205.74,185.42,195.58,187.96,200.66,177.8,203.2,200.66,203.2,205.74,213.36,182.88,205.74,200.66,185.42,198.12,195.58,205.74,193.04,180.34,193.04,210.82,210.82,213.36,205.74,205.74,187.96,182.88,203.2,193.04,213.36,215.9,203.2,190.5,190.5,193.04,193.04,198.12,182.88,213.36,200.66,200.66,208.28,200.66,193.04,210.82,195.58,200.66,193.04,220.98,208.28,193.04,193.04,210.82,210.82,200.66,215.9,185.42,195.58,210.82,198.12,205.74,210.82,198.12,203.2,213.36,205.74,198.12,193.04,182.88,215.9,182.88,193.04,175.26,190.5,182.88,195.58,210.82,190.5,203.2,210.82,213.36,203.2,198.12,210.82,210.82,203.2,190.5,195.58,193.04,208.28,187.96,193.04,210.82,210.82,190.5,200.66,200.66,215.9,203.2,203.2,190.5,208.28,213.36,193.04,198.12,210.82,213.36,203.2,190.5,198.12,203.2,193.04,185.42,190.5,200.66,208.28,198.12,190.5,185.42,185.42,193.04,195.58,208.28,208.28,210.82,203.2,190.5,200.66,210.82,193.04,200.66,215.9,198.12,190.5,190.5,193.04,198.12,200.66,182.88,195.58,180.34,213.36,200.66,200.66,208.28,203.2,208.28,193.04,185.42,210.82,195.58,208.28,193.04,195.58,195.58,203.2,210.82,205.74,210.82,213.36,208.28,182.88,205.74,208.28,208.28,205.74,195.58,210.82,208.28,203.2,203.2,200.66,190.5,203.2,198.12,190.5,195.58,193.04,190.5,205.74,213.36,208.28,187.96,193.04,185.42,205.74,190.5,195.58,205.74,195.58,200.66,198.12,198.12,210.82,190.5,198.12,208.28,205.74,180.34,193.04,198.12,187.96,205.74,203.2,210.82,208.28,198.12,203.2,198.12,208.28,205.74,200.66,195.58,198.12,198.12,190.5,213.36,213.36,208.28,182.88,200.66,208.28,203.2,213.36,190.5,210.82,208.28,200.66,200.66,200.66,198.12,205.74,205.74,203.2,195.58,200.66,200.66,182.88,203.2,193.04,195.58,200.66,208.28,195.58,203.2,198.12,210.82,187.96,220.98,208.28,205.74,208.28,203.2,213.36,195.58,187.96,200.66,213.36,208.28,208.28,205.74,208.28,193.04,195.58,210.82,208.28,210.82,205.74,187.96,200.66,198.12,198.12,193.04,210.82,203.2,190.5,193.04,190.5,195.58,205.74,205.74,213.36,187.96,205.74,203.2,195.58,182.88,208.28,187.96,193.04,182.88,213.36,205.74,210.82,198.12,203.2,185.42,208.28,203.2,198.12,213.36,205.74,205.74,198.12,193.04,182.88,215.9,208.28,182.88,193.04,175.26,190.5,205.74,182.88,195.58,208.28,210.82,190.5,210.82,205.74,198.12,190.5,198.12,195.58,208.28,198.12,193.04,203.2,208.28,200.66,210.82,203.2,200.66,198.12,213.36,200.66,190.5,203.2,198.12,205.74,198.12,203.2,205.74,215.9,195.58,198.12,205.74,198.12,203.2,205.74,208.28,208.28,208.28,210.82,213.36,203.2,205.74,187.96,215.9,195.58,198.12,213.36,177.8,203.2,205.74,190.5,195.58,205.74,200.66,193.04,205.74,193.04,195.58,193.04,198.12,195.58,193.04,193.04,205.74,210.82,210.82,213.36,198.12,195.58,200.66,195.58,195.58,190.5,193.04,203.2,195.58,208.28,185.42,203.2,187.96,200.66,200.66,203.2,205.74,205.74,208.28,203.2,187.96,213.36,198.12,190.5,200.66,198.12,200.66,200.66,182.88,203.2,215.9,203.2,195.58,208.28,198.12,200.66,187.96,208.28,193.04,200.66,205.74,198.12,215.9,198.12,198.12,185.42,208.28,213.36,195.58,205.74,195.58,215.9,210.82,195.58,195.58,205.74,182.88,193.04,187.96,203.2,190.5,193.04,208.28,208.28,187.96,198.12,208.28,208.28,195.58,198.12,198.12,195.58,185.42,203.2,213.36,200.66,205.74,195.58,215.9,205.74,198.12,195.58,190.5,200.66,190.5,210.82,213.36,210.82,203.2,198.12,210.82,193.04,193.04,208.28,210.82,210.82,208.28,200.66,203.2,203.2,200.66,215.9,210.82,190.5,205.74,205.74,193.04,208.28,195.58,193.04,205.74,210.82,215.9,205.74,198.12,200.66,185.42,185.42,210.82,203.2,210.82,195.58,205.74,195.58,200.66,200.66,198.12,198.12,198.12,205.74,205.74,193.04,205.74,198.12,208.28,185.42,203.2,200.66,203.2,195.58,190.5,190.5,203.2,195.58,210.82,198.12,203.2,187.96,200.66,205.74,213.36,203.2,185.42,213.36,200.66,213.36,175.26,213.36,200.66,185.42,208.28,203.2,195.58,195.58,205.74,208.28,205.74,205.74,203.2,200.66,193.04,213.36,193.04,220.98,205.74,198.12,200.66,205.74,182.88,208.28,203.2,190.5,190.5,187.96,195.58,187.96,213.36,205.74,203.2,198.12,190.5,195.58,200.66,185.42,185.42,198.12,190.5,185.42,195.58,187.96,200.66,200.66,203.2,203.2,205.74,213.36,182.88,205.74,200.66,185.42,195.58,205.74,198.12,208.28,205.74,203.2,213.36,193.04,193.04,180.34,185.42,198.12,208.28,200.66,193.04,200.66,205.74,218.44,190.5,203.2,190.5,215.9,208.28,198.12,205.74,213.36,203.2,208.28,193.04,205.74,200.66,203.2,193.04,193.04,193.04,200.66,213.36,208.28,205.74,200.66,203.2,205.74,195.58,203.2,205.74,203.2,205.74,213.36,208.28,205.74,193.04,208.28,190.5,200.66,185.42,208.28,195.58,185.42,185.42,195.58,187.96,200.66,200.66,203.2,205.74,213.36,182.88,205.74,200.66,185.42,193.04,203.2,193.04,193.04,200.66,213.36,198.12,190.5,198.12,200.66,210.82,195.58,190.5,200.66,193.04,198.12,198.12,187.96,185.42,208.28,200.66,185.42,205.74,218.44,200.66,190.5,208.28,190.5,215.9,203.2,198.12,187.96,200.66,203.2,185.42,198.12,203.2,205.74,208.28,198.12,210.82,193.04,195.58,198.12,213.36,182.88,203.2,205.74,210.82,213.36,198.12,195.58,200.66,205.74,195.58,215.9,205.74,193.04,203.2,198.12,208.28,210.82,208.28,193.04,203.2,198.12,213.36,190.5,198.12,210.82,205.74,205.74,195.58,198.12,205.74,203.2,200.66,208.28,195.58,195.58,185.42,187.96,195.58,187.96,200.66,200.66,187.96,208.28,200.66,205.74,198.12,198.12,185.42,215.9,213.36,210.82,198.12,203.2,200.66,208.28,200.66,208.28,193.04,190.5,193.04,203.2,198.12,193.04,203.2,187.96,215.9,195.58,198.12,213.36,177.8,208.28,193.04,195.58,208.28,205.74,200.66,193.04,200.66,198.12,205.74,205.74,210.82,210.82,193.04,205.74,193.04,208.28,198.12,208.28,193.04,190.5,205.74,195.58,210.82,185.42,193.04,208.28,208.28,200.66,200.66,200.66,190.5,193.04,208.28,193.04,198.12,190.5,203.2,187.96,213.36,210.82,198.12,193.04,213.36,210.82,213.36,190.5,193.04,203.2,203.2,203.2,215.9,200.66,203.2,190.5,213.36,198.12,200.66,210.82,190.5,210.82,208.28,195.58,203.2,213.36,190.5,182.88,213.36,205.74,175.26,182.88,208.28,215.9,182.88,195.58,193.04,213.36,180.34,208.28,195.58,182.88,200.66,198.12,203.2,193.04,190.5,198.12,190.5,198.12,203.2,200.66,210.82,198.12,190.5,203.2,210.82,195.58,210.82,203.2,203.2,200.66,208.28,195.58,205.74,190.5,193.04,195.58,190.5,198.12,205.74,190.5,203.2,200.66,203.2,203.2,200.66,208.28,213.36,187.96,205.74,208.28,208.28,195.58,182.88,213.36,190.5,208.28,193.04,187.96,200.66,208.28,195.58,208.28,198.12,205.74,208.28,220.98,210.82,198.12,203.2,198.12,193.04,195.58,187.96,205.74,195.58,182.88,208.28,208.28,182.88,190.5,193.04,208.28,195.58,190.5,193.04,210.82,198.12,200.66,210.82,203.2,198.12,215.9,195.58,185.42,200.66,185.42,190.5,203.2,208.28,200.66,198.12,213.36,187.96,205.74,190.5,195.58,208.28,195.58,182.88,208.28,198.12,195.58,213.36,190.5,198.12,198.12,200.66,203.2,208.28,198.12,203.2,193.04,205.74,205.74,213.36,203.2,195.58,198.12,195.58,185.42,203.2,200.66,195.58,215.9,205.74,198.12,195.58,200.66,195.58,190.5,195.58,215.9,210.82,195.58,213.36,200.66,205.74,195.58,208.28,205.74,205.74,203.2,190.5,200.66,193.04,213.36,208.28,193.04,205.74,200.66,205.74,185.42,208.28,190.5,210.82,198.12,203.2,187.96,205.74,193.04,203.2,190.5,203.2,210.82,210.82,193.04,208.28,210.82,210.82,200.66,203.2,198.12,213.36,208.28,213.36,205.74,193.04,203.2,203.2,205.74,213.36,215.9,198.12,195.58,193.04,208.28,208.28,210.82,205.74,210.82,193.04,205.74,210.82,205.74,198.12,205.74,198.12,200.66,200.66,185.42,210.82,203.2,200.66,210.82,215.9,203.2,200.66,195.58,187.96,200.66,195.58,203.2,205.74,187.96,195.58,205.74,195.58,190.5,193.04,195.58,190.5,187.96,187.96,203.2,210.82,193.04,190.5,182.88,198.12,213.36,205.74,203.2,198.12,198.12,210.82,205.74,213.36,190.5,200.66,195.58,193.04,200.66,195.58,203.2,200.66,200.66,190.5,208.28,210.82,203.2,210.82,203.2,213.36,208.28,203.2,205.74,198.12,198.12,203.2,213.36,200.66,213.36,190.5,185.42,213.36,200.66,205.74,213.36,200.66,185.42,203.2,200.66,195.58,205.74,193.04,198.12,193.04,210.82,195.58,193.04,193.04,208.28,205.74,208.28,208.28,208.28,205.74,213.36,198.12,205.74,195.58,193.04,195.58,193.04,190.5,195.58,203.2,208.28,185.42,215.9,193.04,182.88,208.28,195.58,200.66,190.5,193.04,187.96,195.58,210.82,203.2,210.82,205.74,208.28,198.12,203.2,190.5,203.2,195.58,190.5,203.2,195.58,210.82,190.5,190.5,193.04,200.66,195.58,218.44,195.58,195.58,213.36,205.74,195.58,210.82,213.36,187.96,205.74,210.82,205.74,195.58,208.28,208.28,205.74,190.5,195.58,210.82,190.5,218.44,210.82,200.66,187.96,213.36,195.58,213.36,198.12,200.66,208.28,185.42,198.12,208.28,198.12,190.5,208.28,200.66,190.5,203.2,198.12,187.96,182.88,200.66,210.82,195.58,195.58,203.2,200.66,210.82,185.42,203.2,200.66,213.36,198.12,182.88,185.42,210.82,200.66,200.66,198.12,195.58,203.2,205.74,198.12,190.5,195.58,193.04,193.04,193.04,195.58,205.74,200.66,200.66,185.42,198.12,195.58,205.74,213.36,200.66,185.42,193.04,203.2,210.82,187.96,205.74,182.88,208.28,203.2,185.42,205.74,208.28,185.42,220.98,190.5,208.28,190.5,200.66,205.74,205.74,193.04,203.2,200.66,200.66,190.5,208.28,200.66,193.04,198.12,205.74,205.74,182.88,203.2,195.58,177.8,185.42,200.66,198.12,208.28,200.66,203.2,200.66,195.58,182.88,213.36,208.28,195.58,198.12,203.2,198.12,185.42,198.12,198.12,193.04,195.58,200.66,195.58,208.28,203.2,190.5,203.2,195.58,198.12,190.5,195.58,198.12,210.82,203.2,182.88,203.2,210.82,213.36,203.2,195.58,193.04,198.12,205.74,205.74,193.04,203.2,213.36,198.12,193.04,200.66,203.2,182.88,213.36,195.58,210.82,195.58,193.04,205.74,226.06,205.74,213.36,203.2,200.66,190.5,208.28,190.5,198.12,190.5,185.42,185.42,198.12,190.5,185.42,198.12,200.66,203.2,185.42,203.2,200.66,185.42,195.58,205.74,198.12,200.66,195.58,203.2,200.66,203.2,203.2,193.04,193.04,198.12,203.2,185.42,208.28,200.66,210.82,195.58,190.5,198.12,198.12,195.58,198.12,208.28,193.04,200.66,185.42,182.88,195.58,182.88,187.96,213.36,198.12,203.2,198.12,190.5,205.74,190.5,203.2,215.9,203.2,193.04,195.58,203.2,203.2,182.88,195.58,198.12,208.28,203.2,208.28,195.58,195.58,187.96,210.82,195.58,208.28,180.34,193.04,208.28,195.58,190.5,205.74,185.42,213.36,195.58,193.04,208.28,208.28,203.2,185.42,175.26,180.34,205.74,205.74,198.12,203.2,208.28,185.42,213.36,208.28,185.42,203.2,195.58,195.58,193.04,182.88,187.96,198.12,205.74,193.04,193.04,187.96,185.42,195.58,193.04,210.82,205.74,198.12,198.12,195.58,210.82,187.96,200.66,190.5,208.28,195.58,187.96,203.2,187.96,198.12,205.74,205.74,200.66,190.5,190.5,208.28,218.44,195.58,208.28,208.28,190.5,200.66,200.66,198.12,208.28,200.66,205.74,193.04,195.58,200.66,200.66,213.36,195.58,208.28,198.12,203.2,205.74,195.58,195.58,195.58,190.5,208.28,203.2,205.74,200.66,200.66,180.34,203.2,198.12,185.42,203.2,203.2,205.74,195.58,198.12,190.5,193.04,187.96,200.66,205.74,193.04,213.36,198.12,187.96,200.66,182.88,203.2,190.5,190.5,218.44,203.2,198.12,208.28,223.52,205.74,190.5,195.58,185.42,210.82,193.04,205.74,198.12,210.82,195.58,205.74,210.82,177.8,198.12,200.66,195.58,198.12,193.04,195.58,208.28,193.04,185.42,215.9,203.2,208.28,198.12,193.04,203.2,213.36,203.2,200.66,190.5,198.12,198.12,190.5,203.2,203.2,210.82,193.04,195.58,180.34,193.04,190.5,203.2,210.82,210.82,203.2,205.74,203.2,195.58,205.74,205.74,213.36,200.66,198.12,193.04,210.82,200.66,185.42,193.04,193.04,187.96,195.58,187.96,203.2,190.5,193.04,193.04,203.2,213.36,213.36,190.5,198.12,200.66,205.74,198.12,208.28,190.5,185.42,208.28,190.5,190.5,190.5,205.74,190.5,205.74,208.28,208.28,198.12,190.5,200.66,205.74,198.12,213.36,200.66,200.66,177.8,205.74,193.04,180.34,193.04,193.04,200.66,175.26,203.2,185.42,213.36,203.2,195.58,198.12,210.82,208.28,210.82,203.2,195.58,193.04,198.12,208.28,213.36,200.66,190.5,195.58,195.58,198.12,193.04,190.5,195.58,182.88,200.66,210.82,198.12,210.82,190.5,190.5,193.04,185.42,200.66,213.36,205.74,193.04,198.12,190.5,200.66,195.58,200.66,185.42,195.58,218.44,185.42,208.28,205.74,198.12,205.74,193.04,200.66,190.5,195.58,185.42,208.28,190.5,220.98,205.74,185.42,208.28,182.88,187.96,210.82,198.12,203.2,213.36,205.74,208.28,198.12,185.42,185.42,208.28,200.66,198.12,213.36,195.58,187.96,200.66,210.82,218.44,190.5,205.74,195.58,190.5,205.74,195.58,210.82,203.2,190.5,190.5,205.74,177.8,208.28,205.74,210.82,193.04,210.82,195.58,193.04,190.5,200.66,213.36,193.04,182.88,200.66,195.58,193.04,185.42,200.66,198.12,203.2,213.36,205.74,195.58,190.5,210.82,210.82,203.2,187.96,193.04,187.96,203.2,190.5,203.2,213.36,198.12,177.8,210.82,205.74,195.58,210.82,180.34,198.12,210.82,195.58,210.82,198.12,203.2,193.04,203.2,193.04,203.2,203.2,195.58,200.66,203.2,195.58,195.58,193.04,210.82,200.66,182.88,187.96,198.12,193.04,195.58,198.12,208.28,200.66,210.82,190.5,203.2,200.66,205.74,195.58,203.2,193.04,195.58,190.5,198.12,193.04,205.74,198.12,203.2,200.66,210.82,185.42,198.12,210.82,203.2,200.66,215.9,198.12,203.2,198.12,193.04,195.58,208.28,213.36,182.88,195.58,200.66,203.2,200.66,208.28,198.12,200.66,185.42,185.42,185.42,198.12,193.04,198.12,195.58,198.12,190.5,195.58,210.82,200.66,208.28,185.42,203.2,226.06,205.74,193.04,200.66,195.58,198.12,177.8,193.04,203.2,193.04,208.28,205.74,198.12,193.04,198.12,208.28,213.36,210.82,203.2,182.88,205.74,195.58,205.74,200.66,203.2,213.36,193.04,205.74,182.88,205.74,205.74,198.12,195.58,190.5,200.66,193.04,203.2,190.5,187.96,195.58,200.66,182.88,208.28,203.2,195.58,193.04,200.66,195.58,203.2,195.58,200.66,198.12,205.74,195.58,185.42,200.66,203.2,200.66,185.42,203.2,200.66,205.74,198.12,200.66,203.2,205.74,200.66,195.58,208.28,205.74,208.28,210.82,213.36,198.12,185.42,187.96,210.82,205.74,210.82,210.82,208.28,190.5,208.28,203.2,195.58,203.2,190.5,198.12,193.04,203.2,203.2,190.5,190.5,187.96,200.66,193.04,198.12,203.2,198.12,208.28,187.96,198.12,193.04,193.04,203.2,205.74,193.04,198.12,185.42,185.42,205.74,190.5,198.12,185.42,187.96,208.28,190.5,200.66,200.66,203.2,198.12,213.36,203.2,187.96,208.28,198.12,195.58,208.28,198.12,208.28,203.2,182.88,180.34,205.74,205.74,187.96,198.12,198.12,200.66,185.42,195.58,180.34,200.66,198.12,200.66,185.42,203.2,203.2,203.2,195.58,190.5,195.58,198.12,210.82,185.42,190.5,208.28,195.58,198.12,185.42,203.2,208.28,198.12,195.58,198.12,208.28,203.2,203.2,208.28,195.58,195.58,187.96,210.82,193.04,195.58,208.28,180.34,193.04,210.82,190.5,187.96,193.04,187.96,205.74,193.04,208.28,190.5,200.66,200.66,198.12,208.28,210.82,200.66,208.28,200.66,200.66,213.36,193.04,208.28,213.36,198.12,203.2,205.74,193.04,195.58,195.58,182.88,203.2,195.58,200.66,198.12,203.2,215.9,205.74,193.04,213.36,195.58,198.12,203.2,182.88,203.2,190.5,190.5,218.44,200.66,203.2,198.12,223.52,205.74,203.2,210.82,190.5,205.74,200.66,190.5,193.04,190.5,208.28,190.5,208.28,187.96,200.66,195.58,198.12,208.28,213.36,210.82,203.2,195.58,203.2,193.04,198.12,187.96,208.28,200.66,190.5,210.82,198.12,210.82,200.66,193.04,195.58,190.5,193.04,198.12,195.58,195.58,198.12,195.58,190.5,203.2,195.58,210.82,190.5,208.28,205.74,193.04,195.58,185.42,215.9,203.2,190.5,208.28,193.04,190.5,198.12,203.2,213.36,203.2,200.66,190.5,190.5,213.36,182.88,203.2,203.2,193.04,213.36,205.74,200.66,175.26,185.42,200.66,195.58,213.36,185.42,200.66,187.96,195.58,187.96,195.58,195.58,193.04,187.96,195.58,208.28,193.04,187.96,190.5,205.74,195.58,193.04,203.2,210.82,205.74,205.74,198.12,210.82,185.42,205.74,193.04,180.34,208.28,213.36,190.5,177.8,200.66,198.12,190.5,185.42,208.28,195.58,195.58,190.5,205.74,205.74,200.66,200.66,193.04,198.12,205.74,200.66,193.04,198.12,208.28,208.28,198.12,190.5,205.74,200.66,198.12,193.04,195.58,190.5,193.04,195.58,200.66,195.58,193.04,190.5,190.5,200.66,198.12,198.12,213.36,213.36,190.5,198.12,200.66,193.04,187.96,203.2,210.82,195.58,200.66,193.04,198.12,208.28,200.66,190.5,208.28,185.42,200.66,193.04,200.66,190.5,205.74,198.12,200.66,193.04,185.42,210.82,200.66,195.58,213.36,185.42,200.66,185.42,203.2,208.28,208.28,208.28,205.74,213.36,190.5,203.2,177.8,210.82,198.12,198.12,198.12,190.5,185.42,208.28,190.5,205.74,195.58,190.5,198.12,195.58,203.2,208.28,203.2,187.96,193.04,195.58,203.2,198.12,195.58,215.9,210.82,193.04,195.58,208.28,195.58,198.12,208.28,190.5,205.74,195.58,203.2,215.9,195.58,205.74,213.36,193.04,198.12,200.66,203.2,198.12,210.82,200.66,185.42,205.74,195.58,203.2,195.58,213.36,210.82,190.5,200.66,213.36,193.04,203.2,190.5,205.74,213.36,195.58,182.88,205.74,175.26,203.2,203.2,198.12,193.04,205.74,177.8,193.04,193.04,205.74,200.66,195.58,198.12,193.04,195.58,208.28,205.74,203.2,193.04,185.42,215.9,203.2,208.28,190.5,198.12,187.96,210.82,195.58,203.2,187.96,187.96,203.2,182.88,203.2,198.12,193.04,190.5,187.96,218.44,200.66,198.12,208.28,220.98,195.58,205.74,213.36,205.74,182.88,198.12,185.42,203.2,200.66,203.2,190.5,203.2,195.58,198.12,198.12,190.5,198.12,193.04,187.96,193.04,200.66,203.2,205.74,213.36,195.58,213.36,203.2,198.12,205.74,187.96,195.58,195.58,195.58,193.04,195.58,182.88,195.58,203.2,200.66,190.5,203.2,200.66,198.12,193.04,190.5,193.04,195.58,208.28,190.5,198.12,200.66,193.04,208.28,190.5,200.66,198.12,208.28,208.28,180.34,195.58,185.42,187.96,203.2,190.5,205.74,195.58,208.28,182.88,195.58,193.04,193.04,182.88,185.42,203.2,198.12,198.12,210.82,208.28,195.58,198.12,193.04,182.88,187.96,198.12,205.74,193.04,187.96,185.42,205.74,195.58,193.04,203.2,210.82,205.74,208.28,195.58,205.74,203.2,205.74,198.12,205.74,203.2,182.88,195.58,180.34,205.74,205.74,203.2,195.58,198.12,205.74,198.12,200.66,185.42,208.28,193.04,198.12,210.82,195.58,195.58,187.96,210.82,200.66,193.04,193.04,195.58,195.58,180.34,193.04,190.5,190.5,198.12,185.42,190.5,208.28,200.66,198.12,193.04,210.82,205.74,193.04,200.66,203.2,200.66,187.96,190.5,190.5,203.2,215.9,203.2,195.58,195.58,193.04,200.66,203.2,195.58,205.74,195.58,195.58,187.96,198.12,198.12,198.12,193.04,185.42,193.04,190.5,195.58,198.12,187.96,208.28,198.12,200.66,205.74,213.36,205.74,205.74,200.66,203.2,182.88,200.66,185.42,195.58,203.2,203.2,200.66,195.58,198.12,203.2,200.66,203.2,198.12,198.12,185.42,203.2,200.66,195.58,187.96,208.28,203.2,187.96,198.12,190.5,187.96,185.42,193.04,198.12,193.04,190.5,193.04,210.82,210.82,205.74,195.58,200.66,200.66,200.66,208.28,198.12,200.66,185.42,198.12,185.42,190.5,177.8,203.2,193.04,198.12,203.2,195.58,203.2,182.88,195.58,210.82,200.66,185.42,228.6,205.74,193.04,198.12,195.58,193.04,198.12,185.42,195.58,203.2,198.12,193.04,208.28,182.88,182.88,203.2,193.04,193.04,208.28,205.74,198.12,193.04,195.58,213.36,210.82,187.96,195.58,203.2,205.74,195.58,210.82,203.2,205.74,203.2,205.74,205.74,198.12,195.58,203.2,195.58,195.58,190.5,187.96,195.58,187.96,195.58,182.88,213.36,203.2,203.2,193.04,200.66,213.36,200.66,195.58,200.66,205.74,205.74,193.04,185.42,203.2,200.66,200.66,208.28,200.66,193.04,195.58,195.58,193.04,205.74,198.12,185.42,220.98,198.12,205.74,210.82,200.66,185.42,193.04,195.58,198.12,200.66,210.82,187.96,182.88,205.74,185.42,205.74,190.5,185.42,182.88,210.82,190.5,193.04,195.58,193.04,203.2,195.58,195.58,203.2,190.5,182.88,198.12,193.04,203.2,180.34,190.5,198.12,198.12,205.74,195.58,193.04,198.12,195.58,203.2,180.34,210.82,208.28,203.2,200.66,210.82,198.12,185.42,203.2,198.12,198.12,203.2,205.74,198.12,198.12,190.5,203.2,195.58,218.44,210.82,200.66,187.96,213.36,195.58,213.36,185.42,200.66,208.28,185.42,198.12,187.96,208.28,210.82,195.58,208.28,190.5,208.28,210.82,198.12,203.2,195.58,213.36,210.82,210.82,205.74,213.36,205.74,208.28,195.58,200.66,193.04,195.58,208.28,190.5,195.58,193.04,198.12,195.58,185.42,187.96,195.58,218.44,195.58,208.28,200.66,190.5,200.66,187.96,190.5,180.34,205.74,203.2,195.58,200.66,190.5,200.66,187.96,195.58,210.82,193.04,210.82,205.74,177.8,210.82,205.74,193.04,193.04,195.58,208.28],\"xaxis\":\"x\",\"y\":[99.79024,117.93392,95.25432,100.697424,108.86208,97.52228,86.18248,113.398,86.18248,72.57472,77.11064,122.46984,87.996848,80.28578399999998,120.20188,106.59412,122.46984,86.18248,97.52228,90.7184,99.79024,120.20188,95.25432,111.13004,97.52228,108.86208,99.79024,86.18248,92.98636,106.59412,90.7184,93.439952,108.86208,102.0582,117.93392,92.98636,106.59412,108.86208,83.91452,106.59412,112.490816,102.0582,104.32616,106.59412,113.398,98.883056,72.57472,88.904032,104.32616,116.119552,104.32616,92.98636,113.398,92.98636,127.00576,83.91452,129.27372,111.13004,80.28578399999998,83.007336,122.46984,97.52228,111.13004,109.769264,95.25432,113.398,81.64656,81.64656,115.66596,86.18248,95.25432,116.119552,94.347136,102.0582,108.86208,95.25432,86.18248,86.18248,102.511792,111.13004,86.18248,117.93392,99.79024,98.883056,83.91452,86.18248,113.398,86.18248,103.418976,102.0582,119.748288,102.0582,137.438376,99.79024,108.86208,106.59412,112.490816,113.398,81.64656,120.20188,113.398,82.553744,95.25432,127.00576,115.66596,102.0582,81.64656,102.0582,87.089664,113.398,104.32616,104.32616,81.64656,79.3786,108.86208,108.86208,113.398,111.13004,102.0582,82.553744,117.93392,103.418976,95.25432,90.7184,74.84268,99.79024,104.32616,88.45044,83.91452,113.398,104.32616,99.79024,115.212368,90.7184,132.448864,117.93392,99.79024,104.32616,102.0582,94.800728,102.0582,108.86208,109.315672,120.20188,106.59412,89.811216,90.7184,74.84268,118.38751200000002,87.543256,111.13004,104.32616,124.7378,97.52228,82.553744,113.398,115.66596,94.347136,115.66596,101.604608,104.32616,102.0582,106.59412,90.7184,124.7378,94.347136,102.0582,104.32616,100.697424,109.769264,111.13004,86.18248,81.64656,96.615096,104.32616,97.52228,77.56423199999999,108.86208,99.79024,73.935496,106.59412,106.140528,81.64656,77.11064,92.98636,99.79024,106.59412,108.86208,89.811216,83.91452,117.93392,83.46092800000001,97.52228,77.11064,102.0582,102.0582,92.98636,97.52228,102.0582,79.3786,99.79024,102.0582,114.305184,97.52228,111.13004,111.13004,110.676448,108.86208,99.79024,88.45044,108.86208,104.32616,99.79024,97.975872,99.79024,97.52228,90.7184,111.13004,86.18248,108.86208,92.079176,98.883056,88.45044,83.91452,99.79024,97.52228,115.66596,108.86208,90.7184,90.7184,74.84268,102.511792,104.32616,94.347136,103.418976,117.93392,83.91452,94.347136,81.64656,136.0776,104.32616,117.93392,112.490816,116.119552,93.439952,113.398,99.79024,88.45044,106.59412,97.975872,85.275296,86.18248,94.800728,102.0582,92.98636,101.604608,84.821704,88.45044,83.91452,97.52228,86.0,114.758776,88.45044,111.13004,112.944408,117.93392,97.52228,120.20188,99.79024,86.18248,110.676448,113.398,83.91452,115.66596,86.18248,109.315672,92.98636,131.54168,90.7184,103.418976,82.553744,106.59412,102.0582,111.13004,68.945984,86.18248,111.13004,106.59412,90.7184,92.98636,127.00576,92.98636,104.32616,104.32616,117.93392,88.45044,108.86208,90.7184,95.25432,98.883056,120.20188,111.13004,117.93392,113.398,113.398,85.728888,111.13004,81.64656,111.13004,81.64656,88.45044,113.398,97.52228,94.347136,117.93392,81.64656,113.398,86.18248,86.18248,88.45044,102.0582,88.45044,111.13004,90.7184,85.275296,115.66596,99.79024,108.86208,102.0582,105.233344,113.398,155.582056,83.91452,81.64656,136.0776,95.25432,95.25432,99.79024,86.18248,104.779752,111.13004,91.171992,90.7184,106.59412,108.86208,111.13004,107.047712,119.294696,99.79024,104.32616,86.18248,86.18248,81.64656,88.45044,95.25432,83.91452,92.98636,81.19296800000001,77.11064,76.203456,97.975872,97.52228,113.398,120.20188,95.25432,92.98636,106.59412,88.45044,122.923432,102.0582,95.25432,117.93392,117.93392,83.91452,83.91452,79.3786,102.0582,90.7184,92.98636,103.418976,113.398,116.119552,101.604608,113.398,97.52228,90.7184,108.86208,117.93392,99.79024,95.25432,97.52228,80.73937600000001,97.975872,104.32616,117.93392,97.52228,95.25432,102.0582,85.275296,83.91452,112.490816,63.956472,90.7184,103.418976,83.007336,113.398,140.61352,106.59412,111.583632,108.86208,108.86208,95.25432,104.32616,97.52228,83.91452,108.86208,90.7184,102.0582,108.86208,132.448864,92.98636,73.481904,113.398,90.7184,99.79024,95.25432,120.20188,111.13004,83.91452,99.79024,83.91452,81.64656,99.79024,111.13004,111.583632,102.0582,106.59412,111.13004,106.59412,106.59412,95.25432,106.59412,106.59412,111.13004,106.59412,102.965384,90.7184,117.93392,112.490816,111.583632,111.13004,99.79024,73.481904,106.59412,83.91452,99.79024,95.25432,111.13004,95.25432,106.59412,99.79024,90.7184,113.398,95.25432,81.64656,97.52228,86.18248,105.233344,92.98636,86.636072,147.4174,120.20188,81.64656,81.64656,108.86208,95.25432,115.66596,108.86208,111.583632,97.975872,106.59412,113.398,103.418976,95.25432,63.956472,83.91452,102.0582,95.25432,97.52228,79.3786,104.32616,104.32616,147.4174,132.448864,81.19296800000001,90.7184,102.511792,101.604608,108.408488,116.119552,108.86208,103.418976,95.25432,99.79024,92.98636,102.0582,120.20188,79.3786,83.91452,83.91452,104.32616,95.25432,102.0582,115.66596,88.45044,92.98636,119.748288,99.79024,102.0582,96.161504,99.79024,115.66596,97.975872,108.86208,92.98636,88.45044,88.45044,81.64656,104.779752,83.91452,104.32616,86.18248,81.64656,119.294696,104.32616,107.047712,104.32616,95.25432,83.007336,91.171992,111.13004,104.779752,88.45044,86.18248,99.79024,86.18248,76.203456,108.86208,92.98636,102.0582,88.45044,83.91452,113.398,111.13004,86.18248,87.089664,108.86208,105.233344,102.0582,108.86208,99.79024,115.66596,85.275296,104.32616,90.7184,111.13004,88.45044,112.490816,97.52228,102.0582,88.45044,113.398,86.18248,113.398,95.25432,103.418976,82.553744,106.59412,98.883056,94.800728,117.93392,111.13004,120.20188,92.98636,95.25432,113.398,108.86208,88.45044,104.32616,113.398,104.32616,117.93392,127.00576,90.7184,95.25432,113.398,81.64656,68.945984,113.398,102.0582,80.73937600000001,113.398,92.98636,78.471416,101.151016,117.93392,117.93392,97.52228,99.79024,83.91452,83.91452,106.59412,114.758776,95.25432,97.975872,102.0582,115.66596,108.86208,83.91452,99.79024,120.20188,97.52228,117.93392,109.769264,88.45044,86.18248,88.45044,115.66596,83.91452,88.45044,86.18248,84.821704,120.20188,98.883056,100.243832,88.45044,82.10015200000001,81.64656,81.64656,102.0582,131.54168,92.98636,60.327736,88.45044,95.25432,74.84268,113.398,116.119552,112.490816,117.93392,104.32616,142.88148,95.25432,117.93392,92.98636,92.98636,103.418976,104.32616,88.45044,93.439952,102.0582,102.511792,99.79024,77.56423199999999,97.52228,104.32616,86.18248,111.13004,109.769264,90.7184,100.697424,111.13004,102.0582,108.86208,97.52228,106.59412,111.13004,77.11064,111.13004,86.18248,91.625584,108.86208,112.944408,99.79024,88.45044,117.93392,106.59412,70.760352,104.32616,97.975872,103.418976,97.52228,90.7184,108.86208,73.935496,106.59412,117.93392,93.439952,108.86208,117.93392,102.0582,106.59412,119.748288,104.32616,118.38751200000002,113.398,98.883056,72.57472,99.79024,116.119552,104.32616,106.59412,87.996848,90.7184,103.872568,106.140528,81.64656,77.11064,104.32616,99.79024,113.398,88.45044,108.86208,83.91452,74.84268,113.398,83.91452,92.98636,99.79024,91.625584,92.98636,111.13004,97.52228,108.86208,108.86208,83.91452,81.64656,106.59412,132.448864,117.93392,99.79024,92.98636,104.32616,88.45044,111.13004,122.46984,94.347136,97.52228,115.66596,113.398,113.398,120.20188,106.59412,90.7184,74.84268,118.38751200000002,120.20188,111.13004,104.32616,122.46984,97.52228,90.7184,82.553744,86.18248,83.91452,111.13004,125.644984,102.0582,87.543256,90.7184,124.7378,94.347136,102.0582,104.32616,90.7184,102.0582,102.0582,88.45044,99.79024,99.79024,97.52228,114.305184,97.52228,94.800728,95.25432,99.79024,82.553744,117.93392,103.872568,95.25432,110.676448,90.7184,115.212368,74.84268,102.511792,104.32616,97.52228,88.45044,83.91452,78.471416,83.91452,102.0582,104.32616,92.532768,95.25432,111.13004,99.79024,120.20188,92.079176,83.91452,81.64656,113.398,102.0582,113.398,90.7184,102.0582,99.79024,104.32616,76.657048,120.20188,99.79024,86.18248,111.13004,86.18248,90.7184,86.636072,108.86208,97.52228,95.25432,119.748288,102.0582,97.52228,115.66596,86.18248,68.945984,88.45044,122.46984,90.7184,97.52228,90.7184,112.490816,103.418976,81.64656,86.18248,95.25432,113.398,88.904032,99.79024,81.64656,113.398,108.86208,97.52228,96.161504,108.86208,111.13004,95.25432,86.18248,102.0582,115.212368,116.119552,112.037224,115.66596,97.52228,111.13004,113.398,78.92500799999999,104.32616,127.00576,115.66596,102.0582,99.79024,99.79024,122.46984,90.7184,111.13004,129.27372,111.13004,81.64656,83.007336,109.769264,115.66596,90.7184,115.212368,83.91452,78.471416,88.45044,90.7184,99.79024,99.79024,86.18248,94.347136,83.91452,102.0582,97.52228,102.0582,99.79024,117.93392,97.52228,102.0582,124.7378,113.398,117.93392,102.511792,114.305184,99.79024,117.93392,132.448864,106.59412,81.64656,83.91452,108.86208,108.86208,113.398,99.79024,125.644984,99.79024,82.553744,117.93392,90.7184,95.25432,90.7184,83.91452,95.25432,94.800728,106.59412,81.64656,90.7184,109.769264,111.13004,86.18248,95.25432,86.18248,104.32616,92.98636,90.7184,83.91452,99.79024,117.93392,73.935496,92.98636,117.93392,110.676448,81.64656,77.11064,77.56423199999999,102.0582,120.20188,97.52228,111.13004,87.996848,86.18248,91.625584,108.86208,112.944408,99.79024,88.45044,106.59412,117.93392,104.32616,97.52228,97.975872,103.418976,97.52228,111.13004,79.3786,111.13004,106.59412,111.13004,104.32616,88.45044,111.13004,106.59412,82.553744,103.418976,95.25432,113.398,87.089664,108.86208,105.233344,97.52228,102.0582,115.66596,96.615096,104.32616,99.79024,88.45044,112.490816,112.037224,102.0582,108.86208,124.7378,77.11064,102.0582,117.93392,95.25432,108.86208,108.86208,88.45044,104.32616,104.32616,92.98636,107.047712,117.93392,127.00576,83.91452,97.52228,113.398,86.18248,74.84268,79.3786,102.0582,113.398,88.45044,104.32616,86.18248,102.0582,104.32616,106.59412,90.7184,74.84268,118.38751200000002,106.59412,83.91452,107.954896,104.32616,92.98636,111.13004,97.52228,101.151016,106.59412,86.18248,115.66596,97.52228,94.347136,122.46984,77.11064,90.7184,113.398,102.0582,113.398,78.471416,101.151016,117.93392,97.52228,113.398,82.10015200000001,80.28578399999998,81.64656,131.54168,92.98636,88.45044,88.45044,127.00576,119.294696,104.32616,142.88148,102.0582,94.800728,104.32616,108.86208,91.625584,84.821704,99.79024,83.91452,83.91452,106.59412,99.79024,111.583632,106.59412,84.368112,101.604608,106.59412,112.490816,104.779752,87.089664,95.25432,117.93392,86.18248,118.841104,97.52228,80.73937600000001,122.016248,104.32616,104.32616,79.3786,86.18248,104.32616,91.625584,99.79024,102.965384,102.965384,102.0582,111.13004,95.25432,99.79024,81.19296800000001,99.79024,88.45044,111.13004,90.264808,97.52228,96.615096,106.59412,104.32616,108.86208,107.047712,83.91452,79.3786,106.59412,104.32616,78.017824,88.45044,83.91452,117.93392,118.841104,108.86208,117.93392,92.98636,113.398,90.7184,102.0582,106.59412,86.18248,85.275296,83.91452,63.956472,117.93392,88.45044,120.20188,106.59412,86.18248,128.820128,83.91452,115.66596,102.0582,97.975872,95.25432,114.758776,99.79024,109.769264,102.965384,97.52228,83.91452,97.52228,99.79024,97.52228,117.93392,117.026736,120.20188,98.883056,104.32616,103.418976,99.79024,113.398,86.18248,86.18248,88.45044,88.45044,108.86208,79.3786,103.418976,86.18248,113.398,147.4174,106.59412,111.583632,108.86208,107.954896,115.66596,111.13004,99.79024,103.872568,108.86208,117.93392,81.64656,110.222856,108.86208,97.52228,86.636072,94.800728,97.52228,102.0582,112.490816,92.98636,88.45044,83.91452,115.66596,76.203456,97.975872,115.66596,90.7184,68.945984,122.46984,86.18248,97.52228,111.13004,92.532768,86.18248,99.79024,120.20188,95.25432,111.13004,99.79024,88.45044,86.18248,120.20188,83.91452,81.64656,113.398,103.418976,102.0582,95.25432,83.91452,104.32616,137.438376,99.79024,104.32616,102.0582,112.490816,92.079176,115.66596,90.7184,97.52228,74.84268,113.398,83.91452,92.98636,95.25432,103.872568,88.45044,90.7184,93.439952,108.86208,117.93392,102.0582,106.59412,119.748288,118.38751200000002,107.501304,104.32616,106.59412,113.398,104.32616,92.98636,86.18248,90.7184,86.636072,115.66596,97.52228,129.27372,65.77083999999999,95.25432,81.64656,91.171992,113.398,127.00576,136.0776,102.0582,93.439952,98.883056,99.79024,108.86208,92.98636,88.45044,122.923432,102.0582,104.32616,114.758776,87.996848,102.511792,83.91452,120.20188,102.0582,95.25432,99.79024,95.25432,111.13004,103.418976,113.398,116.119552,97.52228,102.511792,96.161504,113.398,79.3786,115.212368,111.13004,86.18248,115.66596,102.0582,81.64656,117.93392,95.25432,111.13004,111.13004,81.64656,83.007336,122.46984,97.52228,105.68693600000002,112.037224,86.18248,131.54168,95.25432,109.315672,99.79024,81.64656,115.66596,86.18248,97.52228,116.119552,96.161504,102.0582,86.18248,108.86208,86.18248,86.18248,95.25432,90.7184,102.965384,80.73937600000001,86.18248,99.79024,86.636072,115.66596,60.327736,90.7184,95.25432,115.66596,86.18248,68.945984,117.93392,88.45044,122.46984,86.18248,97.52228,92.532768,99.79024,120.20188,95.25432,111.13004,106.59412,115.66596,88.45044,92.98636,120.20188,104.32616,113.398,83.91452,111.13004,113.398,81.64656,92.98636,92.98636,95.25432,103.872568,88.45044,90.7184,104.32616,108.86208,122.46984,83.46092800000001,109.315672,106.59412,99.79024,108.86208,115.66596,118.38751200000002,103.418976,107.501304,106.59412,104.32616,92.079176,86.18248,83.91452,109.315672,97.52228,115.66596,102.0582,116.119552,96.161504,83.91452,78.017824,86.18248,107.954896,86.18248,86.18248,111.13004,92.532768,102.511792,111.13004,93.439952,98.883056,99.79024,119.748288,115.66596,102.0582,95.25432,95.25432,131.54168,86.18248,112.037224,81.64656,113.398,103.418976,102.0582,113.398,137.438376,99.79024,104.32616,102.0582,112.490816,81.64656,91.625584,95.25432,127.00576,115.66596,117.93392,81.64656,90.7184,111.13004,81.64656,83.007336,122.46984,88.45044,97.52228,113.398,113.398,104.32616,77.11064,92.98636,99.79024,117.93392,132.448864,106.59412,81.64656,83.91452,95.25432,111.13004,108.86208,113.398,111.13004,111.13004,102.0582,82.553744,95.25432,90.7184,83.91452,95.25432,95.25432,118.38751200000002,88.45044,83.91452,102.0582,104.32616,92.98636,111.13004,104.32616,113.398,97.52228,115.212368,106.59412,111.13004,90.7184,74.84268,118.38751200000002,83.91452,107.954896,77.11064,92.079176,124.7378,97.52228,101.151016,108.86208,86.18248,86.18248,122.46984,115.66596,97.52228,94.347136,102.0582,104.32616,122.46984,115.212368,115.66596,79.3786,111.13004,109.315672,72.57472,97.52228,120.20188,102.0582,92.98636,98.883056,109.769264,111.13004,86.18248,86.18248,104.32616,92.98636,83.91452,77.56423199999999,100.697424,73.935496,106.59412,117.93392,110.676448,81.64656,111.13004,97.52228,97.975872,86.18248,90.7184,99.79024,124.7378,94.347136,83.91452,102.0582,111.13004,97.52228,109.315672,105.233344,99.79024,90.7184,102.0582,111.13004,81.64656,86.18248,91.625584,108.86208,112.944408,99.79024,88.45044,106.59412,117.93392,99.79024,114.305184,102.0582,87.996848,92.98636,99.79024,97.52228,117.93392,117.93392,120.20188,98.883056,108.86208,104.32616,103.418976,99.79024,113.398,122.46984,91.171992,95.25432,142.88148,104.32616,119.294696,127.00576,97.52228,88.45044,92.98636,131.54168,81.64656,99.336648,87.543256,83.91452,86.18248,83.91452,83.91452,86.18248,83.91452,86.18248,109.769264,106.59412,89.357624,120.20188,106.59412,86.18248,128.820128,83.91452,85.728888,115.66596,102.0582,97.52228,95.25432,100.243832,106.59412,102.965384,86.18248,97.52228,97.52228,81.64656,88.45044,97.52228,106.59412,80.73937600000001,102.0582,113.398,102.0582,79.3786,81.64656,113.398,97.52228,90.7184,127.00576,117.93392,102.0582,94.800728,107.047712,86.18248,97.52228,110.222856,104.32616,104.32616,86.18248,88.45044,108.86208,82.553744,88.45044,103.418976,95.25432,101.151016,78.471416,99.79024,113.398,92.98636,102.0582,149.68536,117.93392,88.45044,96.161504,90.7184,88.45044,104.32616,96.615096,85.275296,115.66596,127.00576,108.86208,102.0582,106.59412,108.86208,87.089664,110.676448,113.398,122.46984,115.66596,112.490816,102.0582,104.32616,108.86208,99.79024,107.047712,129.27372,92.532768,83.91452,106.59412,86.18248,104.32616,99.79024,88.45044,108.86208,90.7184,108.86208,117.93392,92.98636,115.66596,90.7184,83.91452,102.0582,106.59412,102.0582,106.59412,95.25432,83.007336,90.264808,81.64656,79.3786,120.20188,102.0582,95.25432,99.79024,95.25432,91.625584,103.418976,98.883056,113.398,111.13004,116.119552,113.398,115.66596,97.975872,76.203456,117.93392,99.79024,81.64656,99.79024,86.18248,88.45044,111.13004,96.161504,81.64656,92.98636,83.91452,100.243832,103.418976,86.18248,122.46984,113.398,142.88148,106.59412,111.583632,108.86208,107.954896,115.66596,99.79024,103.872568,95.25432,111.13004,113.398,97.52228,108.86208,77.56423199999999,97.52228,86.636072,94.800728,97.52228,63.956472,83.91452,79.3786,102.0582,99.79024,104.32616,101.604608,106.59412,112.490816,104.779752,90.7184,117.93392,110.676448,101.604608,102.965384,99.79024,86.18248,97.52228,80.73937600000001,122.016248,111.583632,108.86208,104.32616,86.18248,102.0582,88.45044,97.975872,99.79024,118.841104,111.13004,90.7184,109.315672,88.45044,99.336648,120.20188,103.418976,107.501304,106.59412,113.398,99.79024,104.32616,92.98636,86.18248,90.7184,122.46984,115.66596,60.327736,86.18248,81.64656,87.996848,92.98636,106.140528,124.7378,87.089664,68.945984,117.93392,88.45044,99.79024,106.59412,97.52228,109.315672,73.935496,116.119552,106.59412,117.93392,110.676448,91.625584,81.64656,77.11064,104.32616,99.79024,113.398,122.46984,90.7184,84.821704,95.25432,113.398,92.98636,92.98636,91.171992,88.45044,90.7184,108.86208,122.46984,83.91452,95.707912,122.46984,98.429464,99.79024,111.13004,81.64656,117.93392,115.212368,116.573144,89.357624,108.86208,90.7184,99.79024,104.32616,104.32616,110.676448,92.98636,86.18248,107.047712,117.93392,129.27372,90.7184,102.0582,113.398,86.18248,75.296272,80.73937600000001,90.7184,99.79024,112.037224,115.66596,80.28578399999998,120.20188,95.25432,115.66596,99.79024,115.66596,88.45044,120.20188,95.25432,138.799152,83.91452,92.532768,81.64656,103.418976,102.0582,104.32616,99.79024,104.32616,102.0582,113.398,81.64656,95.25432,113.398,127.00576,113.398,111.13004,100.697424,77.56423199999999,97.52228,101.151016,86.18248,82.553744,86.18248,115.66596,115.66596,94.347136,111.13004,92.98636,104.32616,113.398,111.13004,108.86208,132.448864,109.769264,81.64656,96.161504,108.86208,99.79024,99.79024,82.553744,95.25432,111.13004,115.66596,90.7184,83.91452,96.161504,97.52228,97.52228,112.037224,113.398,86.18248,122.46984,131.54168,129.27372,111.13004,102.0582,90.7184,117.93392,81.64656,94.800728,102.0582,104.32616,113.398,97.52228,115.212368,106.59412,90.7184,74.84268,118.38751200000002,102.0582,99.79024,83.91452,118.38751200000002,104.32616,86.18248,120.20188,97.975872,90.7184,98.883056,111.13004,79.3786,111.13004,72.57472,99.79024,120.20188,102.0582,92.98636,98.883056,109.769264,111.13004,86.18248,92.98636,86.18248,114.305184,125.644984,83.91452,70.760352,117.93392,106.59412,88.45044,97.52228,83.91452,77.11064,111.13004,113.398,90.7184,120.20188,90.7184,108.408488,131.54168,95.25432,95.25432,83.91452,111.13004,98.429464,109.315672,105.233344,99.79024,102.0582,111.13004,86.18248,91.625584,108.86208,99.79024,102.0582,113.398,83.007336,77.11064,92.98636,113.398,104.32616,102.0582,118.841104,102.0582,122.46984,115.66596,115.66596,73.481904,92.98636,120.20188,108.86208,108.86208,90.7184,109.315672,104.32616,92.98636,86.18248,81.64656,106.59412,83.46092800000001,92.532768,108.86208,106.59412,99.79024,92.98636,102.0582,97.52228,88.45044,104.32616,88.45044,81.64656,98.883056,86.18248,104.32616,108.86208,112.490816,125.644984,97.068688,80.73937600000001,97.52228,118.841104,86.18248,95.25432,111.583632,117.93392,90.7184,104.779752,112.490816,106.59412,131.995272,79.3786,107.047712,108.86208,122.46984,115.66596,102.0582,108.86208,99.79024,98.883056,93.439952,105.233344,97.52228,102.511792,111.13004,80.73937600000001,109.769264,86.18248,78.017824,96.161504,82.10015200000001,117.93392,116.119552,86.18248,115.66596,81.64656,95.25432,114.758776,87.996848,86.18248,79.3786,104.32616,104.32616,95.25432,90.7184,87.543256,111.13004,88.45044,99.79024,95.25432,100.243832,104.32616,96.615096,117.93392,97.975872,115.66596,115.66596,116.119552,113.398,98.883056,103.418976,89.811216,95.25432,95.25432,102.0582,76.203456,83.91452,97.52228,61.688512,88.45044,81.64656,99.79024,87.543256,81.64656,98.883056,92.98636,101.604608,113.398,81.64656,113.398,97.52228,127.00576,120.20188,104.32616,142.88148,95.25432,91.171992,117.93392,99.79024,79.3786,103.418976,104.32616,102.0582,101.151016,97.52228,78.471416,98.883056,106.59412,83.46092800000001,89.357624,103.418976,95.25432,83.91452,113.398,85.728888,108.86208,106.59412,108.86208,97.52228,115.66596,115.66596,85.275296,104.32616,96.161504,88.45044,117.93392,102.0582,92.98636,104.32616,122.46984,108.86208,98.883056,100.243832,117.93392,95.25432,86.18248,92.532768,78.471416,108.86208,97.52228,101.151016,113.398,95.25432,103.872568,104.32616,97.52228,95.25432,107.954896,108.86208,112.490816,106.59412,108.86208,113.398,117.93392,86.18248,103.418976,120.20188,108.86208,115.66596,104.32616,88.45044,92.98636,117.93392,113.398,97.52228,83.91452,99.79024,122.46984,101.604608,111.13004,100.243832,95.25432,97.52228,115.66596,97.52228,83.91452,85.728888,115.66596,83.91452,86.18248,109.769264,91.625584,106.59412,86.18248,131.088088,89.357624,104.32616,97.975872,81.64656,98.883056,86.18248,86.18248,104.32616,112.490816,99.79024,122.46984,97.52228,111.583632,86.18248,95.25432,102.965384,131.54168,99.79024,104.779752,110.222856,97.52228,92.98636,88.45044,118.841104,99.79024,77.56423199999999,102.0582,99.79024,111.13004,97.52228,101.151016,110.222856,123.377024,113.398,103.872568,104.32616,102.965384,115.66596,97.975872,107.954896,106.59412,95.25432,115.66596,122.46984,90.7184,88.45044,92.98636,113.398,98.883056,81.64656,79.3786,108.408488,106.59412,86.18248,88.45044,88.45044,99.79024,81.64656,100.243832,106.140528,111.13004,79.83219199999998,76.203456,97.52228,115.66596,115.66596,111.13004,100.697424,113.398,98.883056,103.418976,87.996848,99.336648,95.25432,95.25432,102.0582,79.3786,92.532768,83.91452,116.119552,107.047712,88.904032,95.25432,113.398,113.398,118.841104,106.59412,122.46984,115.66596,115.66596,115.66596,92.98636,108.86208,111.583632,109.769264,88.45044,107.954896,104.32616,97.52228,88.45044,81.64656,83.46092800000001,107.047712,100.243832,108.86208,110.222856,106.59412,106.59412,86.18248,81.64656,97.52228,90.7184,99.79024,106.59412,82.10015200000001,89.357624,103.418976,95.25432,80.28578399999998,113.398,85.728888,108.86208,106.59412,108.86208,127.00576,108.86208,96.161504,88.45044,117.93392,85.728888,104.32616,92.98636,78.471416,100.243832,77.11064,111.13004,113.398,111.13004,117.93392,115.212368,122.46984,116.573144,122.46984,89.357624,83.91452,90.7184,99.79024,104.32616,104.32616,101.151016,110.676448,86.18248,107.047712,106.140528,117.93392,129.27372,83.91452,102.0582,113.398,120.20188,106.59412,80.73937600000001,92.98636,99.79024,102.0582,100.243832,83.91452,102.965384,83.91452,101.604608,111.13004,95.25432,107.954896,115.66596,85.728888,83.91452,128.820128,99.79024,86.18248,89.357624,109.769264,86.18248,100.697424,87.543256,115.66596,88.45044,92.98636,117.93392,112.490816,102.0582,106.59412,94.800728,97.52228,113.398,101.604608,88.45044,99.79024,88.45044,81.64656,98.883056,96.615096,75.296272,113.398,113.398,97.52228,117.93392,127.00576,104.32616,142.88148,99.79024,95.25432,91.171992,117.93392,113.398,103.418976,111.13004,108.86208,120.20188,120.20188,115.66596,91.171992,102.0582,111.13004,79.3786,111.13004,99.79024,120.20188,99.79024,117.93392,106.59412,88.45044,104.32616,108.86208,91.625584,83.91452,90.7184,87.996848,111.13004,102.0582,105.233344,91.625584,104.779752,98.429464,114.758776,102.0582,72.57472,99.79024,122.46984,102.0582,136.0776,92.079176,113.398,104.32616,77.11064,81.64656,95.25432,106.140528,117.93392,106.59412,116.119552,83.46092800000001,74.84268,99.79024,91.625584,77.56423199999999,83.91452,122.46984,114.305184,95.25432,92.98636,111.13004,109.769264,103.418976,100.697424,95.25432,95.25432,90.7184,94.347136,115.66596,86.18248,88.45044,101.151016,102.0582,97.52228,115.66596,95.25432,90.7184,111.13004,83.91452,120.20188,124.7378,118.38751200000002,74.84268,90.7184,108.86208,113.398,97.52228,120.20188,94.800728,81.64656,111.13004,92.98636,104.32616,102.0582,120.20188,90.7184,108.86208,115.212368,111.13004,77.11064,83.91452,92.079176,120.655472,85.275296,118.38751200000002,111.583632,96.615096,83.91452,90.7184,95.25432,82.553744,108.86208,101.151016,81.64656,109.769264,114.758776,99.336648,111.13004,106.59412,113.398,79.3786,72.57472,117.480328,98.429464,111.13004,129.27372,131.54168,86.18248,113.398,97.52228,97.52228,88.45044,95.25432,130.63449599999998,83.007336,81.64656,111.13004,99.79024,122.016248,112.037224,115.66596,127.00576,108.86208,95.25432,81.64656,88.45044,79.3786,112.037224,97.52228,83.91452,99.79024,90.7184,98.883056,93.439952,105.233344,123.377024,109.769264,92.532768,111.13004,90.7184,113.398,81.19296800000001,86.18248,79.83219199999998,99.79024,96.161504,82.10015200000001,117.93392,117.93392,116.119552,114.305184,102.0582,80.73937600000001,109.769264,102.0582,104.32616,99.79024,90.7184,81.64656,99.79024,86.18248,86.18248,60.327736,86.18248,92.98636,104.32616,104.32616,99.79024,92.98636,113.398,103.418976,120.20188,112.490816,99.79024,100.697424,109.315672,83.46092800000001,122.46984,90.7184,88.45044,92.98636,111.13004,102.0582,129.27372,126.552168,86.636072,97.52228,102.0582,103.418976,113.398,81.64656,95.25432,131.54168,88.45044,115.66596,117.93392,106.140528,115.66596,98.883056,120.20188,80.28578399999998,99.79024,92.532768,97.52228,122.46984,88.45044,120.20188,68.0388,86.18248,110.676448,108.86208,104.32616,123.377024,105.233344,93.439952,98.883056,90.7184,99.79024,106.59412,102.0582,115.66596,122.46984,83.91452,95.25432,109.769264,94.347136,92.079176,115.66596,88.45044,99.79024,108.86208,91.625584,83.91452,90.7184,112.490816,108.86208,97.52228,106.59412,98.429464,91.625584,104.779752,98.429464,102.0582,83.46092800000001,111.583632,90.7184,120.20188,90.7184,127.00576,117.93392,97.52228,120.20188,91.625584,77.56423199999999,83.91452,131.54168,114.305184,90.7184,95.25432,92.98636,111.13004,109.769264,103.418976,90.7184,102.0582,122.46984,72.57472,111.13004,100.243832,79.3786,111.13004,111.13004,99.79024,108.86208,115.212368,111.13004,77.11064,86.18248,82.553744,88.45044,101.151016,102.0582,97.52228,115.66596,102.0582,90.7184,111.13004,111.13004,83.91452,127.00576,74.84268,90.7184,108.86208,113.398,104.32616,120.20188,90.7184,108.86208,115.66596,86.18248,94.347136,111.13004,92.079176,121.562656,97.52228,83.91452,118.38751200000002,100.243832,95.25432,106.59412,83.91452,90.7184,99.79024,82.553744,108.86208,101.151016,81.64656,109.769264,132.448864,113.398,113.398,104.32616,92.98636,95.25432,108.86208,99.79024,106.59412,86.18248,83.91452,99.79024,83.46092800000001,83.007336,81.64656,111.13004,99.79024,122.46984,127.00576,108.86208,95.25432,108.86208,102.0582,97.975872,104.32616,99.79024,86.636072,97.52228,106.59412,113.398,131.54168,81.64656,131.54168,98.429464,90.7184,81.19296800000001,109.769264,88.45044,86.18248,81.64656,99.79024,96.161504,117.93392,117.93392,116.119552,114.305184,104.32616,77.11064,83.46092800000001,97.52228,106.59412,112.037224,86.18248,88.45044,117.480328,111.13004,92.532768,98.883056,92.98636,99.79024,113.398,111.13004,103.418976,120.20188,106.59412,102.0582,100.697424,122.46984,92.98636,88.45044,79.3786,95.25432,136.0776,79.3786,113.398,104.32616,81.64656,95.25432,106.140528,117.93392,104.32616,95.25432,104.32616,104.32616,86.18248,115.66596,117.93392,115.66596,95.25432,120.20188,99.79024,92.532768,97.52228,88.45044,120.20188,126.552168,113.398,106.59412,129.27372,95.25432,95.25432,81.64656,105.233344,86.18248,60.327736,92.98636,95.25432,81.64656,87.996848,115.66596,120.20188,108.86208,117.93392,103.418976,102.965384,113.398,117.93392,91.171992,95.25432,83.91452,99.79024,108.86208,124.7378,127.00576,97.52228,115.66596,81.64656,108.86208,75.296272,96.615096,99.79024,151.95332,106.59412,99.79024,124.7378,97.52228,112.490816,92.98636,92.98636,111.13004,88.45044,115.66596,87.543256,100.697424,86.18248,106.59412,89.357624,113.398,107.954896,86.18248,128.820128,83.91452,115.66596,104.32616,90.7184,95.25432,116.573144,101.604608,92.98636,88.45044,88.45044,99.79024,113.398,80.73937600000001,106.59412,113.398,102.0582,95.25432,129.27372,117.93392,106.140528,115.66596,92.98636,110.676448,104.32616,104.32616,124.7378,90.7184,134.26323200000002,114.758776,116.573144,115.212368,117.93392,94.800728,99.336648,111.13004,94.800728,77.11064,99.79024,100.243832,102.0582,97.52228,102.0582,97.52228,100.243832,104.32616,85.728888,117.93392,88.45044,108.86208,86.18248,115.66596,113.398,106.59412,108.86208,85.728888,113.398,81.64656,95.25432,103.418976,83.46092800000001,106.59412,90.7184,86.18248,81.64656,79.3786,108.86208,83.46092800000001,88.45044,97.52228,104.32616,107.954896,88.45044,117.93392,111.583632,108.86208,92.98636,97.52228,115.66596,115.66596,115.66596,95.25432,122.46984,102.0582,117.93392,104.32616,113.398,113.398,88.45044,112.490816,111.13004,106.59412,109.769264,92.98636,74.389088,92.98636,98.883056,86.18248,117.93392,97.52228,116.119552,100.697424,115.66596,124.7378,108.86208,97.52228,76.203456,77.11064,111.13004,106.140528,100.243832,81.64656,99.79024,88.45044,111.13004,88.904032,97.52228,99.79024,100.243832,89.811216,97.52228,111.13004,113.398,117.93392,88.45044,102.0582,108.86208,95.25432,106.59412,113.398,107.954896,102.965384,104.32616,104.32616,103.872568,88.45044,113.398,123.377024,102.0582,114.305184,107.047712,100.243832,111.13004,83.91452,102.0582,108.408488,102.0582,92.98636,104.779752,87.089664,88.45044,117.93392,112.944408,117.93392,131.54168,111.583632,95.25432,86.18248,118.841104,102.0582,97.975872,83.91452,98.883056,102.0582,100.243832,86.18248,86.18248,104.32616,97.52228,122.46984,102.0582,102.0582,117.93392,88.45044,81.64656,98.883056,85.275296,104.32616,95.25432,86.18248,95.25432,104.32616,118.38751200000002,97.52228,122.46984,102.0582,118.841104,95.25432,102.0582,111.583632,131.54168,112.944408,83.91452,115.66596,111.583632,85.275296,100.243832,113.398,95.25432,111.13004,79.3786,97.52228,107.954896,114.305184,123.377024,120.20188,103.872568,104.32616,104.32616,111.13004,108.86208,107.954896,108.408488,106.59412,86.18248,142.88148,113.398,102.0582,88.45044,117.93392,90.7184,97.52228,104.779752,97.975872,106.59412,108.86208,88.45044,83.46092800000001,107.047712,102.0582,95.25432,112.490816,106.59412,99.79024,99.79024,86.18248,79.83219199999998,86.18248,88.45044,108.86208,81.64656,100.243832,106.140528,111.13004,76.203456,127.00576,124.7378,108.86208,95.25432,111.13004,96.161504,107.954896,88.45044,95.25432,90.7184,98.429464,106.59412,111.13004,88.45044,113.398,104.32616,117.93392,102.0582,90.7184,106.59412,114.758776,115.66596,115.66596,115.66596,108.86208,106.59412,79.3786,92.98636,108.86208,118.38751200000002,117.93392,92.98636,95.25432,94.800728,106.59412,104.32616,96.161504,95.25432,92.98636,83.91452,104.32616,95.25432,111.13004,81.64656,113.398,85.728888,108.86208,90.7184,106.59412,108.86208,117.93392,85.728888,102.0582,106.59412,97.52228,97.52228,74.84268,104.32616,100.243832,108.86208,113.398,88.45044,81.64656,111.13004,117.93392,88.45044,108.86208,116.573144,108.86208,86.18248,122.46984,140.61352,90.7184,90.7184,128.820128,77.11064,104.32616,92.98636,115.66596,106.140528,117.93392,129.27372,102.0582,113.398,103.418976,106.59412,80.73937600000001,113.398,106.59412,97.52228,90.7184,92.98636,94.800728,95.25432,90.7184,104.32616,115.66596,88.45044,83.91452,128.820128,86.18248,94.347136,113.398,116.573144,88.45044,86.18248,95.25432,100.697424,87.543256,88.45044,111.13004,92.98636,92.98636,72.57472,92.98636,112.490816,106.59412,78.017824,101.604608,99.79024,98.883056,96.615096,77.11064,124.7378,113.398,97.52228,124.7378,111.13004,154.22128,81.64656,99.79024,83.91452,95.25432,117.93392,96.615096,103.418976,117.93392,108.86208,120.20188,95.25432,113.398,117.93392,83.91452,106.59412,91.171992,97.52228,111.13004,117.480328,72.57472,111.13004,103.872568,79.3786,111.13004,120.20188,121.562656,104.32616,106.59412,95.25432,99.79024,108.86208,91.625584,83.91452,111.13004,108.86208,97.52228,98.429464,99.79024,117.026736,91.625584,104.779752,98.429464,122.46984,108.86208,103.418976,109.769264,136.0776,108.86208,92.079176,108.86208,77.11064,81.64656,111.13004,112.490816,95.25432,117.93392,117.93392,102.0582,74.84268,108.86208,86.18248,91.625584,77.56423199999999,83.91452,114.305184,90.7184,95.25432,97.52228,108.86208,111.13004,99.79024,83.46092800000001,111.583632,90.7184,111.13004,94.347136,86.18248,82.553744,88.45044,102.0582,102.0582,97.52228,115.66596,102.0582,90.7184,92.98636,111.13004,83.91452,127.00576,118.38751200000002,90.7184,88.45044,108.86208,113.398,104.32616,120.20188,108.86208,94.800728,106.59412,95.25432,104.32616,109.769264,95.25432,120.20188,108.86208,115.212368,106.140528,111.13004,77.11064,92.079176,121.562656,117.93392,83.91452,111.13004,118.38751200000002,97.52228,95.25432,106.59412,83.91452,90.7184,99.79024,82.553744,108.86208,108.86208,101.151016,83.91452,100.243832,100.697424,91.171992,92.98636,102.0582,96.161504,96.615096,83.91452,117.93392,117.93392,99.79024,115.66596,104.32616,79.3786,83.46092800000001,97.52228,97.52228,106.59412,112.037224,86.18248,88.45044,117.480328,98.429464,111.13004,131.54168,131.54168,86.18248,81.64656,86.18248,109.769264,81.19296800000001,97.52228,97.52228,104.32616,98.883056,74.389088,95.25432,108.86208,99.336648,95.25432,102.0582,95.25432,108.86208,115.66596,106.59412,94.347136,99.79024,98.883056,93.439952,106.59412,123.377024,107.501304,109.769264,111.13004,90.7184,102.0582,83.91452,99.79024,97.52228,126.552168,106.59412,129.27372,95.25432,90.7184,79.3786,86.18248,86.18248,60.327736,96.161504,109.769264,120.20188,86.18248,104.32616,99.79024,111.13004,102.0582,120.20188,106.59412,108.86208,100.697424,95.25432,83.46092800000001,122.46984,92.98636,88.45044,97.52228,99.79024,83.007336,81.64656,111.13004,108.86208,99.79024,127.00576,95.25432,95.25432,108.86208,103.418976,86.636072,92.532768,97.52228,113.398,81.64656,98.883056,95.25432,96.161504,106.59412,86.18248,117.93392,115.66596,95.25432,120.20188,106.59412,74.84268,94.800728,106.59412,114.305184,97.52228,92.98636,99.79024,120.20188,98.883056,97.068688,111.13004,117.93392,89.357624,106.59412,96.161504,95.25432,98.883056,81.64656,90.7184,117.93392,90.7184,115.212368,120.20188,120.20188,102.0582,114.758776,74.84268,140.61352,123.377024,91.171992,126.552168,129.27372,91.171992,88.45044,90.7184,122.46984,100.697424,108.86208,99.79024,83.91452,120.20188,102.0582,111.13004,99.79024,97.52228,104.32616,95.25432,92.98636,109.769264,113.398,96.161504,60.327736,86.18248,86.18248,108.86208,79.3786,90.7184,106.59412,81.64656,90.7184,104.32616,117.93392,85.728888,102.0582,106.59412,97.52228,99.79024,104.32616,100.243832,108.86208,88.45044,90.7184,78.017824,90.7184,98.883056,92.079176,77.11064,81.64656,113.398,103.418976,124.7378,82.553744,111.13004,147.4174,99.79024,95.25432,108.86208,128.820128,113.398,96.615096,110.676448,92.98636,106.140528,117.93392,129.27372,99.79024,108.86208,95.25432,103.418976,106.59412,80.73937600000001,111.13004,77.11064,90.7184,90.7184,99.79024,95.25432,82.553744,95.25432,111.13004,80.28578399999998,113.398,85.728888,86.18248,108.86208,106.59412,72.57472,95.25432,102.511792,111.13004,88.45044,92.98636,111.13004,111.13004,109.769264,102.0582,101.151016,90.7184,108.86208,108.86208,90.7184,95.25432,98.883056,99.79024,90.7184,83.91452,103.418976,95.25432,97.52228,100.243832,118.38751200000002,81.64656,120.655472,120.655472,94.347136,95.25432,115.66596,82.553744,97.52228,106.59412,122.46984,113.398,120.20188,108.86208,113.398,88.45044,92.98636,74.84268,118.38751200000002,111.13004,104.32616,78.471416,104.32616,93.893544,90.7184,92.98636,102.0582,115.66596,108.86208,97.52228,102.0582,104.32616,88.45044,86.18248,127.00576,77.11064,106.140528,111.13004,124.7378,86.18248,109.769264,97.52228,111.13004,95.25432,90.7184,114.305184,102.0582,83.91452,78.92500799999999,91.625584,86.18248,108.86208,116.119552,117.93392,95.25432,108.86208,111.13004,81.64656,77.11064,108.86208,127.00576,92.079176,102.0582,111.13004,108.86208,72.57472,115.212368,106.59412,120.20188,95.25432,90.7184,117.93392,102.0582,98.429464,104.779752,91.625584,117.026736,104.32616,99.79024,98.429464,97.52228,83.91452,91.625584,103.418976,106.59412,83.91452,120.20188,120.20188,111.13004,106.59412,111.13004,122.46984,113.398,104.32616,108.86208,106.140528,111.13004,76.203456,127.00576,97.975872,124.7378,111.13004,86.18248,97.52228,100.697424,97.52228,97.52228,104.32616,108.86208,86.18248,98.883056,74.389088,102.0582,95.25432,106.59412,95.25432,99.336648,95.25432,120.20188,93.893544,83.91452,124.7378,99.79024,88.45044,108.86208,117.93392,117.93392,81.64656,102.0582,88.45044,107.954896,85.275296,108.86208,104.32616,88.45044,83.46092800000001,92.532768,106.59412,102.0582,95.707912,110.222856,106.59412,106.59412,99.79024,102.0582,99.79024,86.18248,86.18248,111.13004,83.91452,92.98636,115.66596,104.32616,106.59412,86.18248,88.45044,117.480328,97.52228,115.66596,131.54168,131.54168,86.18248,99.79024,113.398,113.398,99.79024,99.79024,90.7184,83.91452,81.64656,99.79024,138.34556,127.00576,95.25432,102.0582,108.86208,117.93392,86.636072,86.18248,102.0582,97.52228,106.59412,94.347136,99.79024,98.883056,93.439952,117.93392,123.377024,109.769264,92.532768,111.13004,81.19296800000001,109.769264,86.18248,81.64656,102.0582,95.25432,96.615096,83.91452,115.66596,117.93392,99.79024,114.305184,115.66596,104.32616,79.3786,88.45044,97.52228,88.45044,95.25432,75.749864,92.98636,115.66596,104.32616,97.52228,94.800728,95.25432,77.11064,127.00576,111.13004,100.243832,87.543256,104.32616,114.305184,122.46984,124.7378,103.872568,117.93392,104.32616,104.32616,108.86208,107.954896,113.398,108.408488,106.59412,86.18248,79.3786,122.46984,92.98636,111.13004,120.20188,97.52228,95.25432,113.398,113.398,83.91452,106.59412,99.79024,101.151016,90.7184,94.800728,97.52228,104.32616,122.46984,88.45044,83.91452,128.820128,111.13004,108.86208,88.45044,86.18248,95.25432,102.0582,87.543256,88.45044,92.98636,102.0582,87.543256,115.66596,104.779752,112.944408,96.161504,108.86208,102.511792,95.25432,90.7184,98.429464,106.59412,86.18248,97.52228,113.398,117.93392,104.32616,117.93392,102.0582,90.7184,114.758776,92.98636,115.66596,111.13004,115.66596,99.79024,124.7378,106.59412,90.7184,99.79024,107.047712,112.944408,117.93392,115.66596,88.45044,113.398,97.52228,83.91452,85.728888,95.25432,101.151016,81.64656,98.883056,85.275296,104.32616,108.86208,97.52228,86.18248,118.38751200000002,102.965384,95.25432,118.841104,111.583632,122.46984,97.068688,112.490816,122.46984,104.32616,102.0582,115.212368,99.79024,129.27372,90.7184,108.86208,86.18248,97.52228,114.305184,88.45044,79.3786,97.52228,111.13004,99.79024,120.20188,111.13004,122.46984,117.93392,89.357624,106.59412,88.45044,99.79024,86.18248,85.275296,92.98636,60.327736,95.25432,96.161504,127.00576,81.64656,113.398,95.25432,88.45044,92.98636,95.25432,88.45044,100.697424,106.59412,99.79024,122.46984,96.161504,88.45044,120.20188,111.13004,83.007336,97.52228,104.32616,92.98636,92.98636,109.769264,113.398,120.20188,83.91452,90.7184,97.52228,95.25432,115.66596,99.79024,115.66596,83.91452,97.52228,95.25432,117.93392,102.0582,81.64656,81.64656,113.398,81.19296800000001,92.532768,117.93392,127.00576,98.883056,99.79024,94.347136,104.32616,102.0582,115.66596,102.0582,112.037224,108.86208,81.64656,91.625584,97.52228,108.86208,111.13004,95.25432,102.0582,92.98636,127.00576,138.34556,99.336648,99.79024,83.91452,115.66596,99.79024,99.79024,99.79024,117.93392,99.79024,86.18248,131.54168,115.66596,97.52228,117.480328,83.91452,86.18248,106.59412,86.18248,99.79024,98.429464,79.3786,124.7378,119.294696,112.944408,82.553744,83.91452,90.7184,81.64656,111.13004,95.25432,88.45044,92.98636,111.13004,111.13004,97.068688,106.59412,102.0582,97.52228,90.7184,108.86208,90.7184,95.25432,99.79024,99.79024,83.91452,103.418976,92.98636,95.25432,97.52228,88.45044,100.243832,106.59412,111.13004,106.59412,93.893544,122.46984,104.32616,111.13004,120.20188,99.79024,108.86208,83.91452,88.45044,74.84268,118.38751200000002,88.45044,111.13004,95.25432,108.86208,106.59412,78.471416,93.893544,92.98636,90.7184,102.0582,102.0582,111.13004,124.7378,97.52228,92.079176,95.25432,108.86208,111.13004,106.59412,109.769264,83.91452,108.86208,102.0582,111.13004,97.52228,111.13004,95.25432,114.305184,102.0582,86.18248,78.92500799999999,86.18248,108.86208,83.91452,117.93392,103.418976,95.25432,108.86208,111.13004,81.64656,77.11064,127.00576,118.38751200000002,118.38751200000002,79.3786,120.20188,95.25432,77.11064,111.13004,117.026736,115.212368,106.59412,120.20188,90.7184,102.0582,95.25432,95.25432,113.398,91.625584,117.026736,104.32616,104.32616,103.418976,112.490816,90.7184,90.7184,108.86208,91.625584,103.418976,104.32616,83.91452,120.20188,120.20188,108.86208,99.336648,86.18248,112.944408,90.7184,101.151016,99.79024,113.398,81.19296800000001,83.91452,117.93392,113.398,89.357624,94.800728,95.25432,120.20188,108.86208,113.398,120.655472,72.57472,99.79024,97.52228,99.79024,147.4174,111.13004,106.59412,88.45044,117.93392,111.13004,108.86208,114.305184,104.32616,87.543256,99.79024,111.13004,127.00576,77.11064,95.25432,99.79024,94.800728,93.893544,97.52228,104.32616,115.66596,92.98636,86.18248,92.98636,89.811216,92.98636,111.13004,87.543256,102.0582,95.25432,86.18248,88.45044,82.553744,108.86208,103.418976,113.398,80.73937600000001,106.59412,106.59412,95.25432,108.86208,99.79024,129.27372,106.140528,95.25432,97.52228,110.676448,111.13004,113.398,83.91452,91.171992,140.61352,111.13004,114.758776,104.32616,120.20188,120.20188,115.212368,90.7184,117.93392,86.18248,111.13004,103.872568,77.11064,90.7184,81.64656,77.11064,96.615096,97.52228,98.883056,92.98636,78.017824,90.7184,88.45044,108.86208,104.32616,74.84268,97.52228,100.243832,106.59412,117.93392,108.86208,106.59412,96.615096,108.86208,85.728888,80.28578399999998,95.25432,79.3786,99.79024,95.25432,95.25432,117.93392,107.954896,112.490816,95.707912,104.32616,106.59412,92.532768,83.46092800000001,108.86208,108.86208,85.275296,109.315672,111.13004,106.59412,88.45044,117.93392,117.93392,108.86208,79.3786,97.52228,75.749864,120.20188,105.233344,99.79024,83.91452,124.7378,102.0582,106.59412,99.79024,102.0582,95.25432,95.25432,109.769264,95.25432,102.0582,102.0582,74.389088,95.25432,98.883056,108.86208,104.32616,97.52228,97.52228,86.18248,111.13004,124.7378,127.00576,111.13004,108.86208,92.98636,99.79024,83.91452,88.45044,88.45044,86.18248,115.66596,115.66596,92.98636,114.758776,122.46984,97.52228,86.18248,104.32616,86.18248,98.883056,81.64656,101.151016,95.25432,83.91452,80.28578399999998,83.91452,99.79024,81.64656,113.398,108.86208,121.562656,115.66596,86.18248,102.0582,102.0582,106.59412,108.408488,113.398,113.398,112.490816,104.32616,97.52228,102.0582,90.7184,104.32616,117.93392,117.93392,113.398,107.047712,98.429464,90.7184,95.25432,108.86208,104.32616,95.25432,102.0582,108.86208,96.161504,104.779752,99.79024,99.79024,120.20188,112.944408,118.38751200000002,95.25432,117.93392,111.13004,118.841104,122.46984,94.800728,94.347136,104.32616,83.91452,86.18248,106.59412,86.18248,106.59412,99.79024,138.34556,120.20188,98.429464,90.7184,79.3786,108.86208,115.66596,89.357624,112.490816,103.418976,104.32616,97.52228,115.66596,131.54168,97.52228,100.697424,102.0582,95.25432,99.336648,99.79024,99.79024,106.59412,115.66596,99.79024,99.79024,103.872568,79.3786,86.18248,99.79024,117.93392,86.18248,117.93392,97.52228,83.91452,95.25432,95.25432,95.25432,102.0582,106.59412,74.389088,99.79024,104.32616,111.13004,86.18248,104.32616,113.398,97.52228,86.18248,99.79024,124.7378,127.00576,108.86208,95.25432,111.13004,81.64656,117.93392,102.0582,81.64656,81.64656,113.398,86.18248,88.45044,117.93392,127.00576,98.883056,106.59412,102.0582,115.66596,102.0582,112.037224,74.84268,93.893544,97.52228,111.13004,90.7184,99.79024,86.18248,117.93392,103.418976,112.490816,124.7378,81.64656,77.11064,83.91452,127.00576,104.32616,92.079176,108.86208,127.00576,98.883056,82.10015200000001,81.64656,112.944408,108.86208,81.64656,78.92500799999999,83.91452,111.13004,106.59412,107.954896,83.91452,111.13004,102.0582,111.13004,123.377024,97.52228,115.66596,95.25432,90.7184,114.305184,102.0582,102.0582,86.18248,95.25432,86.18248,88.45044,92.98636,90.7184,129.27372,106.59412,115.212368,114.305184,97.52228,92.98636,79.3786,99.79024,106.59412,121.562656,117.93392,111.13004,89.357624,106.59412,88.45044,120.20188,100.697424,88.45044,60.327736,99.79024,100.697424,106.59412,99.79024,83.91452,90.7184,117.93392,111.13004,87.543256,104.32616,92.98636,92.98636,113.398,113.851592,120.20188,96.161504,111.13004,95.707912,108.86208,114.758776,83.91452,79.3786,95.25432,77.56423199999999,117.93392,96.615096,94.800728,102.511792,122.46984,77.11064,115.66596,92.98636,86.18248,92.98636,89.811216,111.13004,94.347136,104.32616,111.13004,87.543256,79.3786,115.66596,94.347136,106.59412,108.408488,102.0582,113.398,113.398,107.954896,112.944408,117.93392,122.46984,117.026736,104.32616,103.872568,108.86208,114.305184,104.32616,86.18248,121.562656,87.543256,102.511792,108.86208,113.398,120.655472,72.57472,76.203456,91.171992,99.79024,120.20188,92.98636,111.13004,82.553744,108.86208,103.418976,102.0582,113.398,114.758776,147.4174,88.45044,95.25432,89.357624,83.46092800000001,108.86208,92.98636,96.161504,99.79024,94.800728,98.883056,86.18248,112.944408,97.52228,101.151016,99.79024,113.398,104.32616,79.3786,83.91452,113.398,104.32616,117.93392,113.398,81.64656,92.98636,115.66596,102.0582,79.3786,97.52228,75.749864,120.20188,88.45044,105.233344,83.91452,79.3786,104.32616,115.66596,115.66596,92.98636,114.758776,99.79024,111.13004,108.86208,85.275296,88.45044,111.13004,111.13004,88.45044,86.18248,102.0582,99.79024,106.59412,106.59412,122.46984,95.25432,79.3786,111.13004,104.32616,83.46092800000001,108.86208,108.86208,90.7184,106.59412,102.0582,92.98636,97.52228,112.490816,122.46984,97.52228,97.52228,86.18248,104.32616,104.32616,86.18248,98.883056,81.64656,101.151016,115.66596,83.91452,80.28578399999998,99.79024,104.32616,122.46984,79.3786,102.0582,117.93392,99.79024,113.398,113.398,101.604608,90.7184,103.872568,104.32616,102.511792,108.86208,96.161504,112.944408,102.0582,91.625584,99.79024,120.20188,119.294696,118.38751200000002,118.841104,87.089664,120.20188,83.91452,96.615096,108.86208,117.93392,106.59412,97.52228,97.52228,85.728888,74.84268,104.32616,113.398,108.86208,99.79024,88.45044,108.86208,95.25432,92.98636,98.883056,97.52228,94.800728,106.59412,92.98636,122.46984,104.32616,111.13004,116.119552,99.79024,108.86208,108.86208,78.017824,81.64656,101.151016,79.3786,81.64656,117.93392,127.00576,97.52228,92.079176,140.61352,102.0582,91.171992,88.45044,92.98636,113.398,102.0582,110.676448,95.25432,106.140528,129.27372,99.79024,98.883056,88.45044,107.954896,106.59412,106.59412,97.52228,79.3786,111.13004,80.73937600000001,95.25432,105.68693600000002,97.52228,86.18248,74.84268,104.32616,88.45044,95.25432,104.32616,100.243832,91.171992,118.38751200000002,108.86208,103.872568,119.294696,95.25432,77.11064,111.13004,117.026736,106.59412,120.20188,90.7184,97.52228,113.398,91.625584,120.655472,104.32616,104.32616,93.893544,106.59412,112.490816,90.7184,108.86208,91.625584,118.38751200000002,104.32616,97.52228,83.91452,103.418976,95.25432,95.25432,99.79024,111.13004,108.86208,112.490816,111.13004,93.893544,90.7184,113.398,127.00576,102.965384,102.0582,111.13004,124.7378,78.471416,106.59412,111.13004,90.7184,97.52228,90.7184,111.13004,92.98636,106.59412,111.13004,85.275296,97.52228,88.45044,88.45044,97.52228,108.86208,100.697424,106.59412,95.25432,83.91452,117.93392,111.13004,99.79024,111.13004,95.25432,111.13004,113.851592,120.20188,97.975872,60.327736,83.91452,83.007336,79.3786,90.7184,92.98636,129.27372,113.398,95.25432,88.45044,95.25432,106.59412,92.98636,95.25432,102.0582,88.45044,77.56423199999999,81.64656,111.13004,87.996848,103.418976,88.45044,112.490816,81.64656,77.11064,117.026736,127.00576,108.86208,108.86208,127.00576,98.883056,81.64656,97.975872,124.7378,115.212368,115.66596,97.52228,86.18248,91.171992,120.20188,83.91452,90.7184,92.98636,86.18248,106.59412,99.79024,98.429464,79.3786,102.0582,108.86208,89.357624,108.408488,103.418976,115.66596,81.64656,97.52228,95.25432,117.93392,99.79024,86.18248,79.3786,99.79024,92.98636,120.20188,111.13004,89.357624,106.59412,88.45044,102.0582,77.11064,90.7184,99.79024,115.66596,97.52228,99.79024,102.0582,95.25432,83.91452,97.52228,99.79024,106.59412,104.32616,115.66596,99.79024,131.088088,115.66596,113.398,113.398,101.151016,102.0582,117.93392,129.27372,104.32616,97.52228,106.59412,88.45044,88.45044,97.52228,111.13004,97.52228,111.13004,97.52228,106.59412,102.0582,97.52228,90.7184,108.86208,92.98636,99.79024,113.398,86.18248,90.7184,93.893544,102.0582,73.028312,122.46984,106.59412,88.45044,122.46984,104.32616,113.398,111.13004,120.20188,99.79024,92.98636,104.32616,81.64656,118.38751200000002,112.944408,95.25432,108.86208,112.490816,78.471416,111.13004,90.7184,99.79024,83.91452,97.52228,112.490816,90.7184,105.233344,91.625584,111.13004,103.418976,104.32616,83.91452,120.20188,120.20188,79.3786,79.3786,122.46984,111.13004,106.59412,107.954896,83.91452,97.52228,83.91452,102.0582,111.13004,106.59412,97.52228,103.418976,104.32616,104.32616,95.25432,106.59412,100.243832,118.38751200000002,92.98636,108.86208,103.872568,119.294696,95.25432,97.52228,77.11064,113.398,106.59412,115.66596,90.7184,81.64656,99.79024,112.490816,91.625584,120.655472,104.32616,111.13004,92.98636,108.86208,117.93392,81.64656,113.398,108.86208,113.398,115.66596,106.59412,90.7184,106.140528,94.347136,106.59412,108.408488,107.954896,113.398,113.398,122.46984,117.026736,106.59412,103.872568,115.66596,106.59412,79.3786,104.32616,87.543256,99.79024,80.28578399999998,104.32616,91.625584,99.79024,119.294696,118.38751200000002,112.490816,118.841104,102.0582,97.52228,112.490816,97.52228,97.52228,86.18248,81.64656,104.32616,108.86208,85.275296,98.883056,81.64656,102.0582,83.91452,102.0582,96.161504,111.13004,97.52228,97.52228,101.151016,100.697424,98.883056,113.398,104.32616,79.3786,83.91452,113.398,108.408488,92.98636,126.098576,113.398,106.59412,79.3786,76.203456,99.79024,95.707912,147.4174,111.13004,108.86208,113.398,79.3786,86.18248,94.800728,77.56423199999999,86.18248,117.93392,96.615096,95.25432,104.32616,104.32616,115.66596,92.98636,92.98636,89.811216,111.13004,94.347136,87.543256,102.0582,91.625584,92.98636,108.86208,111.13004,92.532768,92.98636,101.151016,104.32616,108.86208,104.32616,95.25432,108.86208,108.86208,106.59412,77.11064,74.84268,102.0582,117.93392,114.758776,97.52228,97.52228,97.52228,97.52228,97.52228,99.79024,119.748288,111.13004,108.86208,97.52228,99.79024,83.91452,95.25432,88.45044,107.501304,111.13004,81.64656,81.64656,90.7184,113.398,106.59412,86.18248,111.13004,88.45044,117.93392,104.32616,129.27372,98.883056,105.233344,106.59412,102.0582,111.13004,115.66596,102.0582,112.037224,93.893544,81.64656,95.25432,102.511792,88.45044,102.0582,106.59412,99.79024,83.91452,104.32616,115.66596,115.66596,92.98636,108.86208,87.089664,96.161504,106.59412,102.0582,92.98636,93.893544,99.79024,95.25432,113.398,113.398,101.604608,90.7184,103.872568,79.3786,86.18248,97.52228,79.3786,92.98636,108.86208,106.59412,106.59412,122.46984,95.707912,79.3786,130.63449599999998,111.13004,104.32616,113.398,83.91452,113.398,91.625584,108.86208,111.13004,88.45044,92.98636,117.93392,115.66596,102.0582,111.13004,102.0582,96.161504,108.86208,74.84268,81.19296800000001,80.28578399999998,97.52228,97.52228,99.79024,106.59412,102.0582,117.93392,102.0582,96.615096,81.64656,101.151016,79.3786,97.52228,105.68693600000002,95.25432,80.73937600000001,111.13004,79.3786,97.52228,106.59412,106.59412,98.883056,99.79024,106.59412,95.25432,111.13004,102.0582,99.79024,91.171992,108.86208,80.73937600000001,99.79024,127.00576,117.93392,107.954896,140.61352,113.398,86.18248,99.79024,111.13004,97.52228,97.52228,98.883056,92.98636,78.017824,95.25432,104.32616,106.59412,83.91452,120.655472,113.398,92.98636,106.59412,98.883056,104.32616,111.13004,108.86208,84.821704,100.697424,83.91452,113.398,97.52228,127.00576,79.3786,89.357624,108.86208,102.0582,90.7184,104.32616,98.429464,99.79024,86.18248,79.3786,90.7184,120.20188,115.66596,86.18248,107.501304,99.79024,86.18248,109.769264,97.52228,90.7184,79.83219199999998,99.79024,95.707912,115.212368,99.79024,99.79024,99.79024,106.59412,117.93392,124.7378,117.93392,99.336648,107.954896,104.32616,99.79024,91.171992,83.91452,83.91452,111.13004,102.0582,108.86208,140.61352,95.25432,129.27372,102.0582,106.59412,115.212368,115.66596,100.697424,120.20188,117.93392,111.13004,90.7184,95.25432,106.59412,102.0582,77.11064,81.64656,90.7184,99.79024,97.52228,131.088088,81.64656,88.45044,106.59412,99.79024,106.59412,99.79024,111.13004,99.79024,80.73937600000001,78.017824,92.98636,97.52228,97.52228,92.98636,111.13004,92.079176,111.13004,113.398,102.0582,103.418976,108.86208,83.91452,147.4174,77.11064,74.84268,85.728888,97.52228,106.59412,97.52228,79.3786,111.13004,98.883056,95.25432,105.68693600000002,93.893544,79.3786,101.151016,81.64656,108.86208,96.615096,108.86208,117.93392,102.0582,106.59412,99.79024,97.52228,112.944408,103.418976,115.66596,81.64656,97.52228,112.490816,97.52228,88.45044,81.64656,104.32616,85.275296,98.883056,102.0582,74.84268,86.18248,81.64656,102.0582,99.79024,104.32616,126.098576,113.398,83.46092800000001,102.0582,102.965384,111.13004,118.38751200000002,99.79024,86.18248,95.25432,113.398,115.66596,101.604608,90.7184,111.13004,117.93392,106.59412,108.86208,102.511792,108.86208,96.161504,104.32616,91.625584,99.79024,119.294696,129.27372,83.007336,96.161504,92.98636,79.3786,106.59412,108.86208,103.872568,106.59412,113.398,122.46984,113.398,87.543256,113.398,106.140528,95.25432,90.7184,90.7184,115.66596,113.398,108.86208,113.398,102.0582,79.3786,97.52228,77.56423199999999,91.171992,115.66596,122.46984,105.233344,88.45044,102.0582,87.543256,94.347136,111.13004,89.811216,92.98636,92.98636,115.66596,104.32616,104.32616,97.52228,96.615096,124.7378,86.18248,95.25432,81.64656,93.893544,92.98636,111.13004,121.562656,102.0582,112.037224,93.893544,81.64656,95.25432,107.501304,111.13004,95.25432,108.86208,108.86208,74.84268,102.0582,114.758776,97.52228,97.52228,99.79024,108.86208,127.00576,102.0582,95.25432,97.52228,95.25432,117.93392,102.0582,81.64656,113.398,90.7184,98.883056,108.86208,113.398,88.45044,117.026736,104.32616,129.27372,98.883056,90.7184,105.233344,104.32616,106.59412,111.13004,108.86208,97.52228,92.98636,115.66596,102.0582,79.3786,104.32616,111.13004,79.3786,106.59412,88.45044,99.79024,104.32616,115.66596,99.79024,115.66596,92.98636,120.20188,108.86208,90.7184,83.91452,111.13004,108.86208,91.625584,114.758776,117.93392,83.91452,88.45044,88.45044,86.18248,92.98636,120.20188,106.59412,106.59412,122.46984,96.161504,92.98636,91.171992,136.0776,108.86208,104.32616,83.91452,113.398,106.59412,79.3786,113.398,112.490816,102.0582,90.7184,111.13004,88.45044,102.0582,95.25432,95.25432,113.851592,115.66596,81.64656,97.52228,113.398,111.13004,90.7184,102.0582,85.275296,107.954896,111.13004,90.7184,105.233344,91.625584,111.13004,103.418976,103.418976,104.32616,83.91452,120.20188,120.20188,79.3786,79.3786,106.59412,90.7184,106.59412,124.7378,114.758776,117.93392,111.13004,99.79024,102.511792,88.45044,111.13004,83.91452,95.25432,113.851592,120.20188,97.975872,83.91452,86.18248,99.79024,113.398,106.59412,95.25432,100.697424,102.0582,108.86208,108.86208,113.398,90.7184,127.00576,106.59412,98.883056,81.64656,97.975872,95.25432,93.893544,86.18248,99.79024,83.91452,99.79024,83.91452,104.32616,103.418976,90.7184,113.398,102.0582,102.0582,117.93392,111.13004,129.27372,106.59412,88.45044,88.45044,95.25432,97.52228,95.25432,108.86208,81.64656,112.490816,95.25432,73.028312,122.46984,91.625584,92.98636,122.46984,113.398,117.93392,111.13004,99.79024,92.98636,83.91452,99.79024,81.64656,112.944408,120.20188,108.86208,93.893544,97.52228,120.655472,112.490816,104.32616,102.965384,79.3786,90.7184,117.93392,115.66596,106.59412,108.86208,75.296272,95.25432,119.294696,95.25432,95.707912,113.398,95.25432,92.98636,113.398,97.52228,108.86208,97.52228,90.7184,108.86208,92.98636,111.13004,79.3786,83.91452,104.32616,106.59412,118.38751200000002,86.18248,115.66596,104.32616,104.32616,96.615096,124.7378,113.398,77.56423199999999,103.418976,79.3786,87.543256,115.66596,106.59412,103.872568,106.59412,97.52228,92.98636,83.46092800000001,89.811216,122.46984,113.398,102.965384,86.18248,96.161504,77.11064,92.98636,92.98636,115.66596,88.45044,102.0582,87.543256,94.347136,86.0,111.13004,92.98636,113.398,108.86208,113.398,85.275296,106.59412,104.32616,83.91452,88.45044,97.52228,97.52228,102.0582,106.59412,117.93392,119.294696,99.79024,96.161504,108.86208,126.098576,98.883056,81.64656,102.0582,86.18248,95.25432,102.0582,102.0582,86.18248,106.140528,95.25432,90.7184,83.91452,90.7184,113.398,108.86208,113.398,127.00576,81.64656,99.79024,81.64656,115.66596,97.52228,102.0582,104.32616,111.13004,92.98636,95.25432,102.965384,93.893544,79.3786,101.151016,81.64656,108.86208,96.615096,90.7184,108.86208,117.93392,106.59412,99.79024,88.45044,97.52228,113.398,102.0582,117.93392,124.7378,117.93392,113.398,102.511792,102.0582,91.171992,88.45044,83.91452,99.79024,90.7184,106.59412,99.79024,106.59412,106.59412,99.79024,83.91452,99.79024,107.954896,79.83219199999998,106.59412,79.3786,106.59412,120.655472,113.398,92.98636,106.59412,113.398,99.79024,104.32616,111.13004,98.883056,108.86208,84.821704,99.79024,97.52228,95.25432,83.91452,102.0582,74.84268,88.45044,108.86208,108.86208,80.73937600000001,78.017824,97.52228,97.52228,83.91452,92.079176,111.13004,113.398,103.418976,107.047712,147.4174,120.20188,108.86208,111.13004,95.25432,102.0582,111.13004,90.7184,102.0582,103.418976,95.25432,95.25432,112.490816,124.7378,114.758776,106.59412,72.57472,111.13004,104.32616,113.398,108.86208,115.66596,73.028312,82.10015200000001,79.3786,79.3786,116.119552,106.59412,113.851592,107.954896,97.52228,85.275296,102.0582,90.7184,113.398,81.64656,83.91452,122.46984,108.86208,120.20188,113.851592,120.20188,99.79024,113.398,60.327736,102.0582,113.398,83.91452,133.80964,106.59412,115.212368,115.66596,100.697424,79.3786,79.3786,113.398,95.25432,99.79024,99.79024,96.161504,127.00576,98.883056,81.64656,95.25432,102.511792,93.893544,86.18248,100.697424,106.59412,95.25432,86.18248,111.13004,102.965384,91.625584,92.98636,113.398,79.3786,124.7378,120.20188,115.66596,106.59412,113.398,102.965384,108.86208,95.25432,95.707912,76.657048,113.398,118.38751200000002,106.59412,119.294696,104.32616,112.490816,120.655472,86.18248,95.25432,104.32616,103.418976,91.625584,98.883056,91.625584,105.233344,111.13004,86.18248,99.79024,103.418976,104.32616,104.32616,90.7184,79.3786,92.98636,108.86208,113.398,90.7184,93.893544,112.490816,117.93392,95.25432,102.0582,112.944408,74.84268,99.79024,92.98636,99.79024,120.20188,111.13004,99.79024,102.0582,117.93392,129.27372,90.7184,97.52228,90.7184,97.52228,111.13004,97.52228,97.52228,110.222856,95.25432,97.52228,95.25432,88.45044,88.45044,106.59412,108.86208,120.20188,106.59412,117.93392,111.13004,127.00576,111.13004,108.86208,104.32616,114.758776,117.93392,99.79024,83.91452,88.45044,86.18248,92.98636,120.20188,106.59412,104.32616,88.45044,122.46984,97.52228,114.758776,115.66596,104.779752,104.32616,83.91452,81.64656,106.59412,97.52228,95.25432,95.25432,108.86208,108.86208,108.86208,81.64656,102.0582,108.86208,96.161504,92.98636,91.171992,92.98636,120.20188,108.86208,90.7184,92.98636,106.59412,99.79024,104.32616,92.98636,92.98636,99.79024,86.18248,95.25432,90.7184,104.32616,115.66596,83.91452,99.79024,136.0776,108.86208,104.32616,83.91452,113.398,91.625584,108.86208,86.18248,88.45044,107.954896,79.3786,104.32616,111.13004,79.3786,106.59412,93.893544,106.59412,112.037224,121.562656,104.32616,99.79024,79.3786,97.52228,109.769264,86.18248,106.59412,99.79024,115.66596,83.91452,90.7184,90.7184,86.18248,99.79024,114.305184,111.13004,99.79024,121.109064,90.7184,108.86208,88.45044,86.18248,81.64656,97.52228,99.79024,99.79024,131.088088,86.18248,102.0582,129.27372,99.336648,120.20188,97.52228,99.79024,98.429464,104.32616,113.398,106.59412,81.64656,115.66596,95.25432,98.883056,108.86208,90.7184,94.347136,104.32616,108.86208,102.0582,111.13004,111.13004,105.233344,98.883056,81.64656,113.398,86.18248,83.91452,102.0582,108.86208,89.357624,112.944408,103.418976,115.66596,81.64656,97.52228,95.25432,117.93392,102.0582,108.86208,81.64656,102.0582,111.13004,86.18248,97.52228,95.25432,103.418976,106.59412,95.25432,86.18248,95.25432,120.20188,79.3786,79.3786,106.59412,95.25432,98.883056,107.954896,85.275296,102.0582,90.7184,104.32616,120.20188,81.64656,115.66596,113.851592,108.86208,95.25432,95.25432,111.13004,102.0582,105.233344,111.13004,113.851592,106.59412,106.59412,118.38751200000002,95.25432,113.398,76.657048,95.707912,95.25432,108.86208,113.398,90.7184,106.59412,120.20188,124.7378,79.3786,105.233344,112.490816,90.7184,120.655472,104.32616,104.32616,103.418976,99.79024,115.66596,99.79024,108.86208,90.7184,111.13004,108.86208,111.13004,108.86208,84.821704,104.32616,83.91452,97.52228,126.098576,111.13004,84.821704,139.70633600000002,102.965384,92.98636,83.91452,92.98636,92.98636,115.66596,104.32616,87.543256,94.347136,86.0,111.13004,92.98636,94.800728,86.18248,97.52228,86.18248,102.0582,103.418976,95.25432,104.32616,112.490816,124.7378,114.758776,106.59412,72.57472,112.037224,108.86208,108.86208,120.20188,122.46984,99.79024,122.46984,96.161504,127.00576,98.883056,81.64656,95.25432,94.800728,99.79024,124.7378,111.583632,92.98636,108.86208,92.98636,90.7184,101.151016,83.91452,108.86208,96.615096,83.91452,113.398,115.66596,108.86208,106.59412,99.79024,97.52228,93.893544,99.79024,102.0582,74.84268,90.7184,108.86208,80.73937600000001,78.017824,97.52228,97.52228,83.91452,111.13004,92.079176,97.52228,95.25432,108.86208,98.883056,99.79024,117.93392,124.7378,117.93392,86.636072,113.398,140.61352,99.79024,102.0582,92.079176,91.171992,83.91452,99.79024,92.98636,90.7184,94.800728,106.59412,99.79024,106.59412,106.59412,102.0582,99.79024,113.398,88.45044,111.13004,111.13004,92.98636,113.851592,113.398,117.93392,93.893544,90.7184,113.398,106.59412,102.0582,117.93392,129.27372,108.86208,86.18248,106.59412,117.93392,88.45044,95.25432,102.0582,110.222856,97.52228,92.98636,111.13004,88.45044,97.52228,90.7184,81.64656,97.52228,95.25432,95.25432,108.86208,99.79024,104.32616,103.418976,83.91452,147.4174,95.25432,99.79024,106.59412,108.86208,79.3786,113.398,92.98636,106.59412,113.398,117.93392,99.79024,82.10015200000001,73.028312,122.46984,91.625584,113.398,111.13004,127.00576,106.59412,97.52228,112.490816,92.98636,97.52228,119.294696,96.615096,81.64656,102.0582,113.398,97.52228,127.00576,108.86208,104.32616,114.758776,117.93392,83.91452,124.7378,88.45044,108.86208,86.18248,120.20188,106.59412,104.32616,122.46984,96.161504,92.98636,91.171992,127.00576,108.86208,104.32616,95.25432,95.25432,92.98636,108.86208,108.86208,95.25432,113.398,106.59412,81.64656,88.904032,90.7184,115.66596,98.883056,90.7184,105.233344,94.347136,108.86208,102.0582,111.13004,111.13004,121.562656,104.32616,112.037224,74.84268,93.893544,88.45044,115.66596,83.91452,88.45044,81.64656,106.59412,95.25432,94.800728,95.25432,106.59412,102.0582,113.398,106.59412,96.161504,91.625584,99.79024,120.20188,118.38751200000002,117.93392,106.59412,97.52228,97.52228,88.45044,83.91452,104.32616,106.59412,98.883056,88.45044,83.91452,99.79024,88.45044,81.64656,113.398,108.86208,113.398,115.66596,95.25432,90.7184,104.32616,102.511792,111.0,108.86208,115.66596,91.625584,108.86208,86.18248,111.13004,102.0582,79.3786,104.32616,111.13004,102.0582,113.851592,79.3786,106.59412,99.79024,83.91452,115.66596,83.91452,92.98636,120.20188,108.86208,90.7184,92.98636,106.59412,111.13004,92.98636,86.18248,95.25432,90.7184,106.59412,102.0582,95.25432,113.398,88.45044,97.52228,86.18248,106.59412,111.13004,115.212368,115.66596,88.45044,97.52228,79.3786,120.20188,106.59412,117.93392,92.98636,111.13004,108.86208,88.45044,106.140528,138.34556,88.45044,99.79024,95.25432,81.64656,97.52228,99.79024,97.52228,131.088088,102.0582,86.18248,60.327736,99.79024,86.18248,77.56423199999999,93.439952,87.543256,102.0582,103.418976,106.59412,79.3786,103.872568,106.59412,113.398,95.25432,113.398,83.91452,106.59412,106.59412,102.0582,95.25432,94.347136,102.0582,115.66596,95.25432,110.222856,102.511792,92.98636,113.398,120.20188,113.398,93.893544,81.64656,113.398,92.98636,86.18248,97.52228,99.79024,117.93392,97.52228,98.429464,90.7184,102.0582,89.357624,112.944408,115.66596,97.52228,102.0582,108.86208,102.0582,108.86208,115.66596,111.13004,99.79024,95.707912,99.336648,106.59412,114.305184,120.20188,119.294696,106.59412,99.79024,99.79024,95.25432,104.32616,113.398,99.79024,79.3786,81.64656,79.3786,109.769264,86.18248,106.59412,99.336648,113.398,95.707912,117.93392,113.398,95.25432,102.0582,86.18248,131.088088,97.52228,99.79024,90.7184,113.398,97.52228,114.305184,81.64656,106.59412,89.357624,120.20188,100.243832,99.79024,86.18248,109.769264,79.3786,120.20188,115.66596,83.91452,99.79024,113.398,104.32616,106.59412,99.79024,106.59412,119.294696,79.3786,95.25432,96.161504,88.45044,112.490816,100.697424,79.3786,124.7378,120.20188,115.66596,106.59412,81.64656,113.398,119.294696,102.0582,85.728888,76.657048,113.398,95.25432,118.38751200000002,108.86208,120.655472,104.32616,104.32616,102.511792,106.59412,104.32616,79.3786,120.20188,95.25432,86.18248,106.59412,103.418976,95.25432,98.883056,105.233344,99.79024,111.13004,102.965384,99.79024,103.418976,106.59412,106.59412,113.851592,86.18248,116.119552,90.7184,93.893544,104.32616,117.93392,117.93392,95.25432,117.93392,99.336648,91.625584,99.79024,97.52228,131.088088,113.398,113.398,122.46984,83.91452,102.0582,95.25432,117.93392,90.7184,111.13004,92.079176,108.86208,92.98636,90.7184,96.161504,81.64656,90.7184,97.52228,88.45044,108.86208,102.0582,95.25432,95.25432,86.18248,106.59412,109.769264,129.27372,99.79024,113.398,85.275296,99.79024,120.20188,113.398,92.98636,102.511792,92.98636,97.52228,86.636072,106.59412,129.27372,87.089664,97.52228,109.315672,86.18248,112.490816,99.79024,111.13004,113.398,60.327736,102.0582,92.98636,106.59412,120.20188,79.3786,97.52228,113.398,88.45044,121.109064,115.66596,115.212368,86.0,111.13004,92.532768,106.59412,133.80964,105.233344,90.264808,105.68693600000002,94.800728,95.25432,104.32616,90.7184,108.86208,102.0582,102.0582,102.0582,95.25432,108.86208,106.59412,97.068688,81.64656,120.20188,104.32616,90.7184,83.91452,83.91452,81.64656,102.0582,115.66596,108.86208,102.0582,95.25432,81.64656,98.883056,127.00576,90.7184,122.46984,97.975872,122.46984,94.800728,120.20188,108.86208,108.86208,117.026736,72.57472,124.7378,86.18248,95.25432,104.32616,103.418976,92.98636,108.86208,97.52228,86.18248,96.615096,104.32616,97.52228,92.98636,92.98636,111.13004,94.347136,86.0,102.0582,87.543256,104.32616,81.64656,115.66596,84.368112,92.98636,92.98636,102.965384,86.18248,111.13004,117.93392,97.52228,83.91452,104.32616,84.821704,108.86208,111.13004,108.86208,106.59412,99.79024,83.91452,95.25432,102.0582,103.418976,97.52228,99.79024,88.45044,83.91452,104.32616,85.275296,95.25432,102.0582,88.45044,83.91452,102.0582,95.707912,81.64656,113.398,113.398,115.66596,95.25432,106.59412,114.758776,97.52228,113.398,83.91452,106.59412,117.93392,102.0582,95.25432,79.3786,83.91452,108.86208,131.54168,90.7184,115.66596,113.398,106.59412,106.59412,92.98636,93.893544,95.25432,108.86208,97.52228,111.13004,102.965384,111.13004,88.45044,113.398,86.18248,99.79024,102.0582,108.86208,106.59412,102.965384,99.79024,124.7378,117.93392,113.398,92.98636,99.79024,102.0582,102.0582,91.171992,99.79024,97.52228,90.7184,77.11064,94.800728,106.59412,83.91452,97.52228,83.91452,96.615096,77.11064,108.86208,106.59412,102.0582,95.25432,79.3786,103.418976,104.32616,113.398,93.893544,114.305184,111.13004,111.13004,83.91452,99.79024,78.017824,80.73937600000001,83.91452,102.511792,113.398,115.66596,108.86208,99.79024,108.86208,97.52228,86.18248,97.52228,102.0582,74.84268,90.7184,108.86208,99.79024,106.59412,85.275296,117.93392,94.347136,108.86208,111.13004,111.13004,112.037224,74.84268,93.893544,88.45044,115.66596,103.418976,104.779752,83.91452,88.45044,81.64656,105.233344,99.79024,117.93392,95.707912,95.25432,106.59412,124.7378,95.25432,108.86208,83.007336,102.0582,81.64656,90.7184,83.91452,102.0582,113.398,106.59412,99.79024,88.45044,94.347136,117.93392,99.79024,112.490816,97.52228,104.32616,108.86208,83.91452,102.0582,108.86208,89.357624,115.66596,95.25432,117.93392,102.0582,108.86208,81.64656,113.398,98.883056,86.18248,108.86208,81.64656,115.66596,117.93392,102.0582,99.336648,87.996848,82.10015200000001,113.398,120.20188,108.86208,111.0,90.7184,104.32616,97.52228,97.52228,102.0582,79.3786,104.32616,111.13004,102.0582,111.13004,79.3786,106.59412,99.79024,90.7184,102.0582,83.91452,92.98636,90.7184,106.140528,120.20188,88.45044,106.59412,106.59412,92.98636,86.18248,111.13004,90.7184,104.32616,111.13004,102.511792,106.59412,96.161504,97.52228,99.79024,108.86208,86.18248,115.66596,113.398,120.20188,92.98636,92.98636,86.18248,88.45044,124.7378,106.59412,83.91452,106.59412,108.86208,83.46092800000001,103.418976,87.996848,122.46984,117.93392,104.32616,114.758776,96.161504,122.46984,95.25432,83.91452,102.0582,102.0582,99.79024,97.52228,108.86208,92.98636,104.32616,102.0582,86.636072,127.00576,106.59412,108.86208,102.0582,117.93392,113.398,106.59412,92.98636,108.86208,77.11064,106.59412,102.0582,84.821704,93.893544,79.3786,107.047712,103.418976,111.13004,111.13004,83.91452,99.79024,78.017824,104.32616,80.73937600000001,106.59412,102.0582,95.25432,90.7184,111.13004,112.944408,106.59412,106.59412,97.52228,103.418976,102.0582,95.25432,102.0582,84.368112,86.18248,96.615096,104.32616,104.32616,127.00576,92.98636,94.347136,86.0,87.543256,104.32616,81.64656,117.93392,115.66596,92.98636,83.91452,92.98636,102.0582,86.18248,92.98636,86.18248,99.79024,88.45044,106.59412,90.7184,97.52228,99.79024,77.11064,83.91452,88.45044,91.171992,102.0582,99.79024,117.93392,124.7378,95.25432,124.7378,95.25432,83.91452,95.707912,106.59412,99.79024,88.45044,104.779752,104.779752,103.418976,114.758776,88.45044,101.604608,112.037224,106.59412,108.86208,99.79024,97.52228,106.59412,107.501304,108.86208,115.66596,115.66596,113.398,102.511792,83.91452,96.615096,83.91452,114.305184,94.347136,93.893544,95.25432,108.86208,102.965384,111.13004,88.45044,113.398,85.275296,113.398,99.79024,102.0582,83.91452,108.86208,100.243832,106.140528,83.91452,120.20188,106.59412,95.25432,108.86208,131.54168,96.161504,92.98636,108.86208,104.32616,86.636072,108.86208,104.32616,103.418976,102.0582,97.52228,106.59412,115.66596,102.0582,113.398,87.996848,102.0582,79.3786,104.32616,111.13004,102.0582,92.98636,92.98636,86.18248,90.7184,93.893544,108.86208,83.007336,102.0582,92.98636,90.7184,83.91452,83.91452,113.398,102.0582,97.52228,83.46092800000001,79.3786,88.45044,103.418976,91.171992,108.86208,106.59412,114.758776,117.93392,117.93392,83.91452,83.91452,124.7378,88.45044,97.52228,122.46984,106.59412,111.13004,99.79024,85.275296,95.25432,107.501304,115.66596,115.66596,88.45044,83.91452,90.7184,81.64656,113.398,113.398,115.66596,104.32616,95.25432,131.54168,108.86208,83.91452,79.3786,95.25432,115.66596,102.0582,99.79024,101.604608,83.91452,83.91452,106.59412,90.7184,113.398,83.91452,97.52228,88.45044,90.7184,102.0582,92.98636,90.7184,120.20188,108.86208,88.45044,108.86208,106.59412,92.98636,86.18248,97.52228,111.13004,86.18248,115.66596,104.32616,111.13004,102.511792,106.59412,96.161504,95.25432,117.93392,111.13004,106.59412,105.233344,90.7184,74.84268,73.028312,99.79024,90.264808,105.233344,133.80964,111.13004,115.212368,115.66596,121.109064,88.45044,97.52228,79.3786,106.59412,90.7184,99.79024,115.66596,115.66596,88.45044,88.45044,95.25432,86.18248,95.25432,97.52228,99.79024,131.088088,102.0582,113.398,86.636072,99.79024,122.46984,96.161504,100.243832,127.00576,98.883056,95.25432,94.800728,112.490816,109.315672,97.52228,87.089664,86.18248,129.27372,97.52228,111.13004,106.59412,97.52228,92.98636,100.697424,92.98636,95.25432,104.32616,113.398,120.20188,86.18248,97.975872,95.25432,113.398,97.52228,108.86208,83.91452,88.45044,102.0582,108.86208,117.93392,89.357624,104.32616,115.66596,95.25432,117.93392,102.0582,108.86208,81.64656,113.398,111.0,113.398,106.59412,82.10015200000001,102.0582,87.996848,81.64656,97.52228,112.490816,99.79024,97.52228,113.398,117.93392,97.52228,113.398,99.336648,120.20188,95.25432,119.294696,99.79024,111.13004,104.32616,102.0582,99.79024,79.3786,115.66596,79.3786,109.769264,86.18248,99.79024,114.305184,106.59412,89.357624,90.7184,86.18248,83.91452,122.46984,94.800728,120.20188,111.13004,117.93392,97.52228,90.7184,90.7184,81.64656,90.7184,92.079176,92.079176,108.86208,111.13004,113.851592,106.59412,93.893544,95.25432,113.398,76.657048,85.728888,95.707912,95.25432,119.294696,81.64656,120.20188,108.86208,102.0582,95.25432,99.79024,83.91452,122.46984,111.13004,113.398,131.088088,97.52228,99.79024,91.625584,82.553744,99.336648,111.13004,124.7378,95.25432,117.93392,122.46984,93.893544,90.7184,116.119552,106.59412,117.93392,90.7184,113.398,109.769264,106.59412,117.93392,79.3786,100.697424,112.490816,83.91452,90.7184,83.007336,113.398,108.86208,95.25432,102.0582,88.45044,102.0582,102.0582,90.7184,81.64656,115.66596,103.418976,95.25432,104.32616,97.52228,106.59412,86.18248,124.7378,106.59412,79.3786,108.86208,113.398,102.0582,90.7184,102.0582,108.86208,120.655472,104.32616,104.32616,103.418976,99.79024,102.965384,97.52228,105.233344,98.883056,95.25432,103.418976,85.275296,106.59412,95.25432,86.18248,95.25432,91.171992,120.20188,79.3786,79.3786,104.32616,106.59412,95.25432,113.398,102.0582,99.336648,95.707912,117.93392,115.66596,98.883056,90.7184,88.45044,99.79024,105.233344,94.347136,108.86208,111.13004,102.0582,112.037224,111.13004,111.13004,89.811216,108.86208,117.93392,97.52228,90.7184,90.7184,81.64656,124.7378,124.7378,78.471416,105.68693600000002,85.728888,76.657048,108.86208,113.398,95.25432,93.893544,101.604608,90.7184,113.398,88.45044,95.25432,108.86208,113.851592,83.91452,92.98636,83.91452,106.140528,86.0,94.347136,111.13004,92.98636,92.98636,86.18248,92.98636,97.52228,106.59412,96.615096,106.59412,86.18248,102.0582,95.25432,102.0582,79.3786,83.91452,106.59412,117.93392,79.3786,114.758776,99.79024,113.398,84.368112,106.59412,91.171992,104.779752,83.007336,85.275296,113.398,88.45044,102.0582,124.7378,103.418976,97.52228,100.243832,97.52228,102.0582,90.7184,88.45044,79.3786,108.86208,113.398,120.20188,94.800728,122.46984,97.975872,122.46984,96.161504,76.203456,95.25432,106.59412,86.18248,83.91452,111.13004,112.490816,120.655472,106.59412,103.418976,88.45044,99.79024,79.3786,102.965384,111.13004,105.233344,94.800728,95.25432,111.13004,102.0582,106.59412,106.59412,95.25432,91.171992,120.20188,79.3786,103.418976,90.7184,102.511792,113.398,108.86208,90.7184,83.91452,92.98636,97.52228,99.79024,97.52228,101.604608,115.212368,90.7184,106.59412,108.86208,83.91452,99.79024,114.758776,113.398,117.93392,88.45044,107.954896,86.18248,106.59412,99.79024,93.893544,88.45044,99.79024,92.98636,90.7184,83.91452,106.59412,92.532768,97.975872,90.7184,99.79024,90.7184,95.25432,113.398,106.59412,117.93392,129.27372,113.398,113.398,106.59412,117.480328,99.79024,97.52228,95.25432,108.86208,89.811216,124.7378,93.893544,124.7378,117.93392,99.79024,102.0582,91.171992,83.91452,79.3786,102.0582,96.615096,88.45044,106.59412,100.697424,83.91452,88.904032,111.13004,92.532768,92.98636,113.398,104.32616,108.86208,111.13004,108.86208,99.79024,90.7184,104.32616,117.93392,90.7184,131.54168,109.315672,86.18248,106.59412,94.800728,92.98636,115.66596,117.93392,111.13004,99.79024,79.83219199999998,95.25432,113.398,92.98636,113.398,111.13004,107.501304,104.32616,100.697424,88.45044,114.305184,97.52228,102.0582,115.66596,106.59412,80.73937600000001,78.017824,99.79024,83.91452,111.13004,106.59412,102.0582,93.893544,104.32616,103.418976,107.047712,79.3786,99.79024,120.20188,121.562656,108.86208,97.52228,102.0582,104.32616,108.86208,87.543256,104.32616,113.398,92.98636,96.161504,106.59412,112.490816,97.52228,92.98636,97.52228,109.769264,83.91452,88.45044,102.0582,117.93392,90.7184,104.32616,115.66596,117.93392,108.86208,81.64656,106.59412,115.66596,113.398,87.996848,102.511792,106.59412,107.501304,104.32616,115.66596,86.18248,111.13004,86.18248,92.98636,106.59412,95.25432,108.86208,113.398,120.20188,92.98636,83.91452,102.0582,88.45044,99.79024,79.3786,102.0582,108.86208,104.32616,79.3786,102.0582,88.45044,90.7184,111.0,113.398,106.59412,95.25432,124.7378,108.86208,108.86208,102.0582,92.98636,90.7184,115.66596,104.32616,97.52228,107.954896,83.46092800000001,95.707912,88.45044,103.418976,91.171992,92.98636,102.0582,108.86208,114.758776,110.222856,89.357624,126.098576,98.429464,86.18248,92.98636,122.46984,106.59412,88.45044,99.79024,82.10015200000001,106.59412,102.0582,89.357624,83.91452,90.7184,113.398,115.66596,90.7184,88.45044,99.79024,105.233344,106.59412,94.347136,111.13004,102.0582,99.79024,97.52228,75.296272,93.893544,88.45044,103.418976,104.779752,104.779752,88.45044,81.64656,108.86208,86.18248,90.7184,117.93392,90.7184,99.79024,88.45044,86.636072,88.45044,95.25432,85.275296,95.25432,97.52228,99.79024,92.98636,97.52228,131.088088,93.439952,86.18248,99.79024,107.954896,113.398,123.830616,113.398,117.93392,95.707912,113.398,106.59412,95.25432,106.59412,104.32616,79.3786,97.52228,87.089664,115.66596,129.27372,86.18248,102.0582,92.98636,111.13004,92.98636,100.697424,92.98636,90.7184,104.32616,119.294696,113.398,120.20188,99.79024,86.636072,106.140528,90.264808,102.0582,111.13004,108.408488,86.0,115.212368,112.037224,88.45044,86.18248,99.79024,112.490816,106.59412,115.66596,96.615096,113.398,87.089664,113.398,86.18248,81.64656,88.45044,86.18248,83.91452,88.45044,109.769264,95.25432,113.398,107.501304,108.408488,98.883056,85.275296,109.769264,104.32616,83.91452,105.233344,83.91452,106.59412,111.13004,117.93392,115.66596,99.79024,90.7184,113.398,93.439952,78.471416,113.398,99.79024,85.275296,83.91452,79.3786,80.73937600000001,109.769264,86.18248,99.79024,122.46984,129.27372,106.59412,85.275296,90.7184,86.18248,95.25432,99.79024,95.25432,99.79024,102.0582,115.66596,113.851592,95.25432,79.3786,86.636072,122.46984,83.91452,121.109064,117.93392,88.45044,73.028312,122.46984,108.86208,113.398,131.088088,97.52228,111.13004,95.707912,99.79024,111.13004,102.0582,95.25432,95.25432,84.821704,115.66596,112.490816,108.86208,115.66596,94.800728,81.64656,99.79024,106.59412,88.45044,90.7184,102.0582,107.954896,113.398,115.66596,83.91452,127.00576,92.98636,84.368112,104.32616,104.779752,92.98636,103.418976,102.0582,88.45044,114.758776,111.0,90.7184,88.45044,99.79024,105.233344,95.25432,102.0582,120.20188,97.975872,111.13004,83.46092800000001,124.7378,99.79024,104.32616,97.52228,75.296272,95.25432,108.86208,90.7184,126.098576,103.418976,102.0582,97.52228,90.7184,81.64656,104.32616,115.66596,113.398,87.996848,104.32616,86.18248,102.0582,79.3786,104.32616,99.79024,108.86208,102.0582,79.3786,99.79024,85.728888,108.86208,87.543256,103.418976,91.171992,92.98636,102.0582,108.86208,114.758776,110.222856,92.532768,90.7184,102.0582,86.18248,97.52228,96.161504,120.20188,106.59412,106.59412,104.32616,96.161504,92.98636,113.398,122.46984,83.91452,113.398,90.7184,98.429464,97.52228,131.088088,93.439952,100.697424,86.18248,102.0582,105.68693600000002,99.79024,105.233344,113.398,117.93392,90.7184,102.0582,120.20188,99.79024,112.490816,106.59412,113.398,97.52228,95.25432,85.275296,83.91452,97.52228,86.0,115.212368,111.13004,88.45044,97.52228,98.883056,83.91452,106.59412,92.98636,99.79024,120.20188,97.52228,108.86208,86.636072,88.45044,95.25432,95.25432,93.439952,90.7184,81.64656,99.79024,83.91452,88.45044,102.0582,117.93392,119.294696,90.7184,117.93392,102.0582,97.52228,111.13004,90.7184,111.0,113.398,106.59412,82.10015200000001,100.697424,102.0582,95.25432,83.91452,104.32616,97.52228,113.398,91.171992,83.91452,79.3786,83.91452,109.769264,86.18248,102.0582,97.068688,104.32616,122.46984,97.068688,108.86208,111.583632,106.59412,86.636072,90.7184,86.18248,94.347136,102.0582,113.398,102.0582,86.18248,120.20188,113.398,93.893544,163.29312,102.0582,90.7184,111.13004,86.18248,78.017824,104.32616,102.0582,97.52228,102.0582,116.573144,97.52228,115.66596,88.45044,100.697424,100.243832,115.66596,107.501304,103.418976,87.089664,131.54168,104.32616,111.13004,74.84268,90.7184,108.86208,108.86208,104.32616,107.047712,115.66596,77.11064,111.13004,94.347136,83.91452,102.965384,79.3786,79.3786,97.52228,95.25432,111.13004,113.398,77.11064,106.59412,90.7184,101.604608,95.25432,99.79024,90.7184,97.52228,99.79024,108.86208,79.3786,83.0,92.98636,102.0582,99.79024,83.007336,117.93392,122.46984,90.7184,83.91452,102.0582,99.79024,114.758776,95.25432,113.398,106.59412,88.45044,96.615096,83.91452,90.7184,92.98636,88.45044,102.0582,97.52228,104.32616,83.91452,107.954896,92.98636,88.45044,79.3786,113.398,86.18248,112.944408,86.18248,92.98636,97.52228,104.32616,107.501304,115.66596,113.398,109.769264,115.66596,89.811216,83.91452,98.883056,81.64656,113.398,113.398,103.418976,96.615096,115.66596,91.625584,95.25432,90.7184,86.18248,104.32616,79.3786,105.233344,108.86208,95.25432,106.59412,99.79024,92.98636,86.18248,111.13004,111.13004,115.66596,104.32616,107.501304,106.59412,102.511792,106.59412,90.7184,97.52228,111.13004,106.59412,86.18248,92.98636,92.98636,99.79024,117.93392,99.79024,84.368112,86.18248,96.615096,97.52228,86.18248,92.98636,92.98636,95.25432,111.13004,86.0,106.140528,88.45044,87.089664,99.336648,97.52228,122.46984,115.66596,94.347136,108.86208,79.3786,106.59412,108.86208,79.3786,95.25432,117.93392,115.66596,102.0582,89.811216,104.32616,101.604608,83.91452,95.25432,94.0,106.59412,83.91452,113.398,99.79024,114.758776,106.59412,117.93392,133.80964,108.86208,83.91452,113.398,117.93392,97.52228,99.79024,90.7184,81.64656,92.98636,88.45044,92.98636,106.59412,111.13004,113.851592,97.975872,113.398,93.893544,124.7378,95.25432,108.86208,76.657048,85.728888,99.79024,119.294696,78.471416,124.7378,92.98636,74.84268,79.3786,90.7184,104.779752,88.45044,113.398,113.398,112.490816,89.811216,95.25432,106.140528,88.45044,73.028312,99.79024,111.13004,113.398,131.088088,97.52228,99.79024,95.707912,115.66596,84.821704,112.490816,95.25432,108.86208,102.0582,108.86208,121.109064,99.336648,126.552168,97.52228,90.7184,95.25432,111.13004,106.59412,117.93392,113.398,90.264808,111.13004,99.79024,111.13004,117.026736,111.13004,103.418976,74.84268,104.32616,113.398,120.20188,122.46984,99.79024,122.46984,96.161504,76.203456,90.7184,118.841104,86.18248,108.86208,87.089664,111.13004,90.7184,102.0582,111.13004,92.98636,115.66596,92.98636,102.0582,104.32616,111.13004,86.18248,124.7378,108.86208,99.79024,108.86208,86.636072,111.13004,79.3786,113.398,88.45044,99.79024,108.86208,79.3786,120.20188,91.171992,95.25432,108.86208,106.59412,102.965384,94.800728,105.233344,115.66596,99.79024,106.59412,106.59412,108.86208,111.13004,84.368112,113.398,86.18248,104.32616,100.697424,102.0582,90.7184,88.45044,97.52228,102.0582,83.007336,90.7184,86.18248,98.883056,102.0582,115.66596,107.501304,106.59412,102.511792,86.18248,111.13004,89.811216,117.93392,111.13004,106.59412,106.59412,97.52228,106.59412,98.883056,86.18248,92.98636,99.79024,95.25432,108.86208,90.7184,115.66596,92.98636,99.79024,102.0582,86.18248,105.233344,108.86208,104.32616,79.3786,97.52228,108.86208,108.86208,117.93392,139.252744,99.79024,113.398,92.98636,90.7184,95.25432,115.66596,79.3786,103.418976,113.398,81.64656,110.222856,108.86208,73.028312,89.811216,115.66596,109.769264,112.944408,107.501304,108.86208,98.883056,113.398,83.91452,108.86208,104.32616,108.86208,92.98636,91.171992,103.418976,122.46984,90.7184,83.46092800000001,92.98636,107.954896,83.91452,104.32616,110.676448,113.851592,92.98636,102.0582,83.91452,102.0582,103.418976,113.398,92.98636,102.0582,90.7184,108.86208,104.32616,95.25432,90.7184,127.00576,99.79024,90.264808,99.79024,79.3786,99.79024,85.728888,87.996848,113.398,115.66596,104.32616,90.7184,106.59412,104.32616,102.0582,108.86208,126.098576,87.543256,113.398,92.98636,96.161504,104.32616,108.86208,106.59412,106.59412,120.20188,96.161504,97.52228,86.18248,106.140528,103.418976,115.66596,78.017824,99.79024,106.59412,124.7378,92.98636,77.11064,113.398,116.119552,111.13004,107.501304,92.98636,100.243832,99.79024,86.18248,88.45044,88.45044,96.161504,113.398,102.0582,104.32616,90.7184,115.66596,102.0582,85.728888,86.18248,111.13004,111.13004,90.7184,114.305184,92.98636,96.615096,90.7184,85.728888,81.64656,99.79024,108.86208,79.3786,99.79024,97.52228,90.7184,99.79024,95.25432,106.59412,88.45044,83.91452,108.86208,114.758776,84.368112,113.398,87.996848,88.45044,92.98636,107.954896,106.140528,86.636072,103.418976,97.52228,92.98636,99.79024,102.0582,102.0582,113.398,94.347136,92.98636,92.98636,86.18248,81.19296800000001,97.52228,91.625584,96.615096,86.18248,113.398,84.368112,83.91452,105.68693600000002,108.86208,106.59412,111.583632,99.79024,113.398,83.91452,106.59412,83.91452,93.439952,83.91452,111.13004,104.32616,89.811216,79.3786,92.079176,111.13004,97.52228,87.089664,79.3786,79.3786,101.151016,83.91452,94.347136,111.13004,99.336648,88.45044,117.93392,104.32616,111.13004,87.996848,104.32616,108.86208,90.7184,74.84268,111.13004,104.32616,122.46984,86.18248,99.79024,92.98636,93.439952,115.66596,122.46984,108.86208,106.59412,78.471416,106.59412,90.7184,111.13004,86.18248,97.52228,107.954896,83.91452,106.59412,92.98636,99.79024,120.20188,108.86208,88.45044,95.25432,95.25432,85.275296,92.98636,97.52228,100.697424,100.697424,86.18248,102.511792,109.315672,120.20188,113.398,98.429464,115.212368,86.0,102.0582,83.91452,122.46984,96.161504,86.18248,78.017824,90.7184,120.20188,86.18248,108.86208,93.439952,83.91452,90.7184,111.13004,102.0582,99.79024,92.98636,100.697424,102.0582,104.32616,113.398,99.79024,120.20188,108.86208,99.79024,86.636072,108.86208,117.93392,111.13004,120.20188,112.490816,93.439952,108.408488,119.294696,90.7184,108.86208,83.91452,113.398,113.398,106.59412,84.368112,104.779752,95.25432,90.7184,98.883056,83.91452,88.45044,90.7184,88.45044,99.79024,105.233344,95.25432,99.336648,102.511792,108.86208,81.64656,111.13004,117.93392,90.7184,99.79024,117.93392,88.45044,79.3786,113.398,99.79024,91.171992,83.91452,79.3786,83.91452,109.769264,99.79024,86.18248,102.0582,97.068688,102.0582,102.965384,113.398,106.59412,124.7378,88.45044,86.18248,96.615096,95.25432,99.79024,113.398,98.883056,108.86208,97.52228,122.46984,122.46984,120.20188,113.398,126.552168,97.52228,90.7184,95.25432,111.13004,117.93392,90.7184,113.398,90.264808,111.13004,95.25432,114.758776,123.830616,95.25432,90.7184,117.93392,95.25432,90.7184,81.64656,95.25432,88.45044,92.98636,111.13004,113.851592,131.54168,104.32616,108.86208,97.975872,108.86208,102.0582,99.79024,81.64656,87.996848,94.800728,88.45044,115.66596,104.779752,103.418976,116.573144,88.45044,97.52228,103.872568,111.13004,99.79024,95.25432,107.501304,111.13004,131.088088,97.52228,99.79024,117.93392,97.068688,117.93392,122.46984,112.490816,95.25432,99.79024,81.19296800000001,113.398,95.25432,99.79024,108.86208,95.25432,108.86208,108.86208,108.86208,113.398,84.368112,98.883056,86.18248,102.0582,90.7184,79.3786,124.7378,83.007336,102.0582,88.45044,111.583632,104.32616,102.0582,97.52228,104.32616,106.59412,79.3786,92.98636,111.13004,88.45044,93.893544,90.7184,93.439952,102.0582,113.398,76.657048,85.728888,99.79024,74.84268,124.7378,92.98636,74.84268,92.079176,79.3786,90.7184,120.20188,104.779752,113.398,83.91452,112.490816,108.86208,103.418976,104.32616,115.66596,105.233344,94.800728,111.13004,106.59412,108.408488,88.45044,124.7378,83.91452,99.79024,99.79024,95.25432,106.59412,88.45044,108.86208,99.79024,114.758776,68.0388,84.368112,87.996848,88.45044,95.25432,91.625584,92.98636,106.140528,86.636072,103.418976,97.52228,102.511792,98.429464,83.91452,96.615096,88.45044,95.25432,106.59412,92.98636,107.954896,124.7378,90.7184,97.52228,92.98636,90.7184,108.86208,104.32616,90.7184,106.59412,81.19296800000001,108.86208,81.64656,88.45044,87.996848,88.45044,104.32616,83.91452,104.779752,103.418976,124.7378,117.93392,83.91452,81.64656,102.0582,108.86208,111.13004,108.86208,79.3786,99.79024,115.66596,86.18248,92.98636,77.11064,86.18248,99.336648,88.45044,104.32616,111.13004,104.32616,108.86208,90.7184,111.13004,104.32616,122.46984,86.18248,106.59412,97.068688,92.98636,92.98636,93.439952,115.66596,97.52228,86.18248,111.13004,105.68693600000002,86.0,94.347136,92.98636,92.98636,99.79024,79.83219199999998,83.91452,101.151016,111.13004,101.151016,107.501304,100.243832,99.79024,86.18248,88.45044,115.66596,99.79024,113.398,107.047712,102.0582,90.7184,115.66596,102.0582,108.86208,86.18248,111.13004,111.13004,90.7184,102.0582,102.0582,92.079176,90.7184,115.66596,87.089664,79.3786,104.32616,113.398,103.418976,115.66596,90.7184,108.86208,95.25432,99.79024,106.59412,99.79024,92.98636,98.883056,111.13004,105.68693600000002,115.66596,113.398,115.66596,107.501304,102.511792,89.811216,99.79024,90.7184,117.93392,115.66596,106.59412,86.18248,90.7184,105.233344,79.3786,104.32616,115.66596,92.98636,83.91452,88.904032,108.86208,104.32616,96.161504,92.98636,113.398,103.418976,108.86208,87.543256,117.93392,102.0582,104.32616,106.59412,90.7184,104.32616,104.32616,117.93392,113.398,87.996848,79.3786,104.32616,99.79024,109.315672,102.0582,99.79024,92.98636,97.52228,86.18248,98.883056,81.19296800000001,108.86208,117.93392,95.25432,99.79024,73.028312,117.93392,120.20188,97.52228,106.140528,99.79024,126.098576,113.851592,108.86208,92.98636,107.501304,91.171992,83.46092800000001,92.98636,117.93392,107.954896,79.83219199999998,104.32616,110.676448,92.98636,127.00576,102.0582,83.91452,102.0582,103.418976,111.13004,131.088088,99.79024,112.944408,97.52228,111.13004,83.91452,108.86208,110.222856,102.0582,113.398,103.418976,115.66596,95.25432,90.7184,97.52228,81.64656,92.98636,113.398,107.954896,117.93392,111.13004,97.52228,79.3786,92.532768,115.66596,102.0582,89.811216,111.13004,104.32616,107.501304,91.625584,98.883056,86.18248,97.52228,86.18248,104.32616,97.52228,102.0582,111.13004,103.418976,88.45044,111.13004,102.0582,83.007336,88.45044,101.151016,120.655472,86.18248,84.368112,113.398,108.86208,108.86208,99.79024,79.3786,97.52228,111.13004,111.13004,99.79024,83.91452,90.7184,106.59412,79.3786,92.98636,111.13004,99.79024,115.66596,108.86208,111.13004,83.91452,93.439952,108.86208,86.18248,86.18248,120.20188,90.7184,96.161504,78.017824,91.171992,86.18248,77.11064,96.161504,122.46984,99.79024,95.25432,94.800728,120.20188,95.25432,113.398,94.800728,111.13004,115.66596,108.86208,104.32616,92.079176,90.7184,95.25432,117.93392,115.66596,92.98636,108.86208,95.25432,114.758776,95.707912,106.59412,90.264808,113.398,81.64656,96.615096,95.25432,97.52228,126.552168,123.830616,108.86208,102.0582,97.52228,112.490816,107.954896,117.93392,86.18248,97.068688,117.93392,95.25432,106.59412,88.45044,83.91452,88.45044,102.0582,86.18248,79.3786,97.068688,86.18248,92.98636,121.562656,104.32616,74.84268,78.471416,102.0582,88.45044,77.11064,86.18248,113.398,95.25432,93.893544,113.398,102.0582,111.583632,79.3786,131.54168,113.851592,115.66596,92.98636,108.86208,106.59412,100.697424,99.336648,104.32616,104.779752,90.7184,89.811216,90.7184,83.91452,95.25432,104.779752,84.368112,106.59412,102.0582,83.91452,95.25432,108.86208,90.7184,115.66596,108.408488,98.883056,117.93392,102.0582,97.52228,108.86208,98.883056,113.398,99.79024,95.25432,100.243832,99.336648,102.511792,108.86208,113.398,84.368112,83.91452,81.19296800000001,108.86208,81.64656,95.25432,106.59412,111.583632,99.79024,113.398,83.91452,106.59412,83.91452,83.91452,92.079176,95.25432,116.573144,95.25432,75.296272,97.52228,103.872568,99.79024,113.398,106.59412,111.13004,81.64656,86.18248,99.79024,93.893544,104.32616,108.86208,104.32616,85.275296,86.18248,95.25432,95.25432,88.45044,88.45044,108.86208,99.79024,92.98636,106.59412,92.98636,97.52228,111.13004,90.7184,97.52228,83.91452,120.20188,111.13004,86.636072,99.79024,108.86208,120.20188,104.32616,102.0582,92.98636,97.52228,100.697424,100.697424,95.25432,124.7378,106.59412,113.398,122.46984,102.965384,102.0582,86.18248,83.91452,108.86208,79.3786,96.615096,83.91452,77.11064,91.171992,99.79024,118.841104,79.3786,93.439952,111.13004,120.20188,102.0582,98.429464,120.20188,108.86208,102.511792,86.18248,88.45044,92.98636,113.398,83.91452,99.79024,108.86208,120.20188,86.18248,100.243832,104.32616,102.0582,99.336648,99.79024,97.52228,114.305184,111.13004,97.52228,99.79024,107.501304,111.13004,90.7184,83.91452,95.25432,108.86208,86.18248,83.91452,86.18248,90.7184,120.20188,97.068688,88.45044,78.017824,91.171992,86.636072,86.18248,111.13004,111.13004,113.851592,102.511792,86.18248,97.52228,100.697424,83.91452,92.98636,108.86208,104.779752,85.275296,86.18248,95.25432,88.45044,86.18248,88.45044,86.18248,86.18248,109.769264,99.79024,92.98636,106.59412,102.0582,107.954896,97.52228,92.98636,111.13004,90.7184,115.66596,83.91452,85.275296,77.11064,97.52228,122.46984,84.368112,114.758776,108.86208,108.86208,79.3786,97.52228,90.7184,111.13004,99.79024,88.904032,115.66596,104.32616,97.52228,108.86208,92.079176,83.91452,113.398,102.0582,86.18248,104.32616,97.068688,86.18248,92.98636,121.562656,104.32616,74.84268,90.7184,77.11064,86.18248,86.18248,90.7184,127.00576,88.45044,99.79024,95.25432,94.800728,120.20188,79.3786,95.25432,95.25432,113.398,74.84268,94.800728,99.79024,83.91452,106.59412,102.0582,120.20188,101.151016,86.18248,104.32616,97.52228,102.0582,110.222856,88.45044,95.25432,95.25432,98.429464,88.45044,111.13004,115.66596,107.047712,83.007336,99.79024,95.25432,117.93392,120.20188,90.7184,106.140528,108.408488,98.883056,108.86208,103.872568,97.52228,91.625584,104.32616,108.86208,99.79024,95.25432,96.615096,86.18248,117.93392,93.893544,83.91452,99.79024,106.59412,93.893544,104.32616,92.98636,112.490816,79.3786,131.54168,113.851592,115.66596,104.32616,99.79024,108.86208,88.45044,83.91452,102.0582,115.66596,104.779752,103.418976,116.573144,104.32616,95.25432,92.98636,103.872568,106.59412,117.93392,106.59412,83.91452,108.86208,92.98636,99.336648,95.25432,104.32616,107.047712,90.7184,89.811216,90.7184,83.91452,90.7184,99.79024,104.32616,85.728888,106.59412,92.98636,83.91452,86.18248,115.66596,81.64656,90.7184,73.028312,104.32616,95.25432,117.93392,106.59412,101.151016,90.7184,124.284208,113.398,89.811216,122.46984,102.965384,93.893544,102.0582,90.7184,83.91452,108.86208,99.79024,79.3786,96.615096,83.91452,77.11064,109.769264,91.171992,99.79024,118.841104,118.841104,79.3786,111.13004,99.79024,95.25432,83.007336,104.32616,95.25432,117.93392,88.45044,89.357624,108.86208,114.758776,101.604608,113.398,91.625584,95.25432,96.615096,117.93392,95.25432,86.18248,102.0582,97.52228,108.86208,97.52228,97.52228,106.59412,113.398,84.368112,86.18248,106.59412,97.068688,120.20188,99.79024,127.00576,111.13004,107.501304,126.552168,113.398,102.511792,101.604608,83.46092800000001,108.86208,89.811216,99.79024,113.398,72.57472,106.59412,99.79024,87.996848,83.007336,107.954896,98.883056,92.98636,107.954896,86.18248,90.7184,95.25432,99.79024,92.98636,94.347136,78.471416,102.0582,108.86208,111.13004,108.86208,86.18248,99.79024,88.45044,104.32616,90.7184,81.64656,91.625584,94.347136,99.79024,106.140528,86.636072,103.418976,86.18248,93.439952,83.46092800000001,99.79024,113.398,106.59412,104.32616,97.52228,86.18248,115.66596,104.32616,86.18248,111.13004,90.7184,102.0582,99.79024,81.64656,104.32616,101.151016,97.52228,99.336648,102.0582,97.52228,100.243832,83.91452,112.490816,96.615096,95.25432,106.59412,90.7184,124.7378,86.18248,92.98636,77.11064,112.490816,104.32616,83.91452,113.398,90.7184,115.66596,108.86208,95.25432,102.511792,106.59412,74.389088,99.79024,86.18248,98.883056,86.18248,90.7184,111.13004,108.86208,85.728888,92.98636,115.66596,104.32616,88.904032,88.45044,86.18248,85.728888,79.3786,104.32616,99.79024,90.7184,102.0582,90.7184,113.398,99.79024,92.98636,97.52228,86.18248,95.25432,90.7184,102.0582,113.398,115.66596,108.86208,95.25432,115.66596,86.18248,98.883056,104.32616,113.398,99.79024,115.66596,95.25432,90.7184,88.45044,115.212368,95.25432,122.46984,79.3786,107.501304,109.769264,81.64656,108.86208,95.25432,89.811216,99.79024,99.79024,115.66596,106.59412,86.18248,105.233344,79.3786,88.45044,108.86208,107.501304,112.944408,88.904032,97.52228,97.52228,97.52228,87.089664,83.91452,104.32616,90.7184,113.398,104.32616,92.98636,102.0582,90.7184,108.86208,72.57472,90.7184,104.32616,95.25432,97.52228,90.7184,92.079176,106.59412,88.45044,117.93392,104.32616,106.59412,90.7184,104.32616,104.32616,104.32616,113.398,81.64656,107.047712,102.0582,127.00576,79.83219199999998,111.13004,92.98636,83.46092800000001,122.46984,103.418976,91.171992,92.98636,108.86208,113.851592,99.79024,99.79024,106.140528,97.52228,77.11064,120.20188,95.25432,108.86208,104.32616,95.25432,96.161504,99.79024,92.98636,113.398,103.418976,87.543256,90.7184,86.18248,87.996848,81.64656,112.490816,102.0582,89.811216,111.13004,94.347136,95.25432,92.98636,92.98636,81.19296800000001,91.625584,86.18248,84.368112,83.91452,81.19296800000001,102.0582,108.86208,102.511792,111.583632,99.79024,113.398,83.91452,104.32616,83.91452,83.91452,95.25432,104.32616,92.98636,107.954896,99.79024,97.52228,115.66596,97.52228,86.18248,79.3786,79.3786,100.243832,106.59412,106.59412,96.161504,92.532768,104.32616,106.59412,88.45044,106.59412,90.7184,111.13004,108.86208,102.511792,111.13004,117.93392,104.32616,106.59412,86.18248,102.0582,105.68693600000002,93.439952,90.7184,92.98636,99.79024,97.068688,125.644984,102.0582,114.305184,86.18248,99.79024,105.233344,86.18248,97.52228,104.32616,92.98636,95.25432,124.7378,108.86208,102.0582,86.18248,106.59412,94.347136,92.98636,92.98636,97.52228,102.0582,81.19296800000001,84.368112,83.91452,81.19296800000001,104.32616,108.86208,111.583632,99.79024,113.398,81.64656,104.32616,83.91452,83.91452,94.800728,93.439952,90.7184,99.79024,98.429464,120.20188,105.233344,86.18248,95.25432,102.0582,106.59412,97.52228,92.079176,87.089664,86.18248,93.893544,82.10015200000001,86.18248,81.64656,106.59412,109.315672,92.98636,104.32616,106.59412,97.52228,90.7184,108.86208,90.7184,111.13004,104.32616,102.511792,83.91452,111.13004,97.52228,86.18248,97.068688,120.20188,99.79024,111.13004,102.0582,122.46984,81.64656,90.7184,90.7184,106.59412,81.64656,108.86208,102.0582,108.86208,108.86208,86.18248,99.79024,97.52228,92.98636,84.368112,113.398,106.59412,87.089664,113.398,92.98636,114.758776,115.212368,111.13004,83.91452,87.996848,96.615096,117.93392,86.18248,97.52228,126.552168,108.86208,100.697424,90.7184,96.161504,96.161504,97.52228,88.45044,115.66596,104.32616,90.7184,79.3786,85.728888,102.0582,81.64656,97.52228,96.615096,83.91452,112.490816,95.25432,106.59412,95.25432,92.98636,77.11064,100.243832,115.66596,112.490816,98.883056,100.243832,99.79024,106.140528,93.439952,107.954896,95.25432,81.64656,90.7184,102.0582,99.79024,95.25432,106.59412,88.904032,108.86208,89.811216,99.79024,114.758776,72.57472,102.0582,86.18248,83.007336,120.655472,107.954896,98.883056,92.98636,97.52228,111.13004,99.79024,102.0582,120.20188,108.86208,99.79024,94.347136,86.636072,102.0582,79.83219199999998,111.13004,83.91452,86.18248,99.79024,90.7184,113.398,92.98636,97.52228,107.954896,106.59412,92.98636,99.79024,100.243832,92.98636,88.45044,111.13004,86.18248,95.25432,83.91452,90.7184,83.91452,111.13004,107.501304,99.79024,97.52228,111.13004,108.86208,99.79024,97.52228,92.079176,97.52228,99.79024,102.0582,102.0582,104.32616,95.25432,90.7184,109.769264,90.7184,99.79024,111.13004,79.3786,118.841104,113.398,97.52228,81.64656,117.93392,97.52228,90.7184,112.944408,104.32616,83.91452,79.3786,99.79024,108.86208,83.91452,92.98636,90.7184,120.20188,86.18248,108.86208,89.811216,88.45044,86.18248,88.45044,102.0582,95.25432,86.18248,92.98636,85.275296,99.79024,104.32616,92.98636,109.769264,100.697424,86.18248,102.0582,114.305184,89.811216,120.20188,117.93392,102.0582,90.7184,120.20188,111.13004,98.883056,86.18248,97.068688,102.511792,86.18248,99.79024,113.398,86.18248,102.0582,92.532768,108.86208,97.52228,89.357624,104.32616,115.66596,83.91452,99.79024,102.0582,90.7184,91.625584,79.3786,122.46984,88.45044,117.93392,90.7184,81.64656,90.7184,115.66596,91.171992,104.32616,97.52228,115.66596,113.398,131.54168,113.398,92.98636,97.975872,102.0582,95.25432,93.893544,81.64656,86.18248,83.46092800000001,79.3786,97.068688,108.86208,79.3786,83.91452,99.336648,102.0582,94.347136,79.3786,90.7184,120.20188,95.25432,99.79024,122.46984,97.52228,90.7184,113.398,83.007336,91.171992,90.7184,78.017824,88.45044,102.0582,101.151016,99.79024,86.18248,108.86208,86.18248,84.368112,87.543256,97.52228,120.20188,89.811216,83.007336,104.779752,102.0582,85.275296,111.13004,88.45044,95.25432,95.25432,88.45044,110.222856,102.0582,97.52228,104.32616,90.7184,97.52228,102.965384,122.46984,113.398,92.98636,86.18248,85.728888,79.3786,104.32616,98.883056,93.439952,113.398,107.501304,92.98636,103.872568,95.25432,88.45044,90.7184,90.7184,115.66596,108.86208,95.25432,108.86208,112.944408,104.32616,85.275296,113.851592,99.79024,105.68693600000002,100.697424,95.25432,97.52228,77.11064,111.13004,90.7184,92.98636,104.32616,96.161504,99.79024,88.904032,113.398,87.543256,117.93392,104.32616,108.86208,90.7184,106.59412,99.79024,102.0582,79.3786,108.86208,111.13004,113.398,98.883056,106.140528,113.398,99.79024,95.25432,90.7184,92.98636,113.398,113.398,117.93392,113.398,97.52228,105.233344,92.98636,111.13004,100.243832,108.86208,102.0582,88.904032,90.7184,111.13004,108.86208,106.140528,107.501304,106.59412,90.7184,99.79024,108.86208,97.52228,90.7184,106.59412,86.18248,105.233344,95.25432,79.3786,108.86208,107.501304,102.0582,112.944408,115.66596,89.811216,86.18248,92.98636,86.18248,99.79024,83.91452,94.347136,106.59412,88.45044,78.92500799999999,99.79024,83.91452,90.7184,92.98636,86.18248,90.7184,88.904032,88.45044,105.233344,104.32616,95.25432,86.18248,86.18248,98.883056,108.86208,97.068688,111.13004,95.25432,106.59412,124.7378,97.52228,104.32616,86.18248,99.79024,83.91452,93.893544,95.25432,99.79024,108.86208,94.347136,107.501304,102.965384,108.408488,109.769264,99.79024,107.501304,102.511792,113.398,106.59412,94.800728,113.398,104.32616,82.10015200000001,95.25432,109.315672,102.0582,124.7378,90.7184,88.45044,112.490816,104.32616,103.872568,108.86208,92.98636,83.46092800000001,99.79024,95.25432,91.171992,104.32616,92.98636,90.7184,96.161504,99.336648,92.98636,97.52228,95.25432,104.32616,103.418976,103.418976,99.79024,104.779752,108.86208,120.20188,88.45044,101.604608,87.996848,95.25432,81.19296800000001,84.821704,90.7184,97.52228,90.7184,95.25432,83.91452,95.25432,90.264808,83.91452,108.86208,97.52228,99.79024,90.7184,86.18248,90.264808,91.171992,115.212368,107.501304,106.59412,108.86208,112.944408,91.171992,111.13004,94.800728,99.79024,89.811216,99.79024,98.883056,99.79024,115.66596,86.18248,90.7184,84.821704,95.25432,103.872568,113.398,93.439952,97.52228,117.93392,113.398,86.18248,117.93392,128.820128,86.18248,107.047712,97.52228,104.32616,92.98636,99.79024,106.140528,119.748288,98.883056,99.79024,113.398,83.46092800000001,111.13004,111.13004,108.86208,83.007336,104.779752,93.439952,108.86208,102.0582,107.501304,108.86208,79.3786,94.800728,98.883056,105.233344,90.7184,102.965384,104.32616,97.52228,104.32616,95.25432,86.18248,83.46092800000001,92.079176,108.86208,99.79024,104.32616,103.872568,102.0582,112.490816,90.7184,97.52228,105.233344,131.54168,100.697424,86.18248,88.45044,109.315672,86.18248,99.79024,81.64656,104.779752,113.398,97.068688,94.800728,92.98636,90.7184,97.068688,96.615096,88.45044,92.532768,104.32616,86.18248,92.98636,79.3786,86.18248,92.532768,113.398,108.86208,111.13004,90.7184,86.18248,102.0582,113.398,88.45044,113.398,88.904032,116.573144,100.243832,75.749864,104.32616,97.975872,84.821704,108.86208,92.98636,90.7184,95.25432,100.697424,105.68693600000002,100.697424,92.079176,113.851592,97.52228,96.161504,97.52228,104.779752,105.233344,90.7184,97.52228,115.212368,106.140528,83.91452,97.52228,99.336648,79.3786,81.64656,100.243832,96.615096,112.490816,95.25432,102.511792,99.79024,92.98636,77.11064,100.243832,112.490816,96.161504,99.336648,106.59412,97.52228,86.18248,93.439952,86.18248,91.171992,97.52228,98.883056,88.45044,92.98636,115.66596,84.368112,106.59412,99.79024,128.820128,92.98636,92.98636,90.7184,113.398,97.52228,80.73937600000001,106.59412,113.398,108.86208,93.893544,82.10015200000001,99.79024,88.45044,92.98636,122.46984,93.893544,107.047712,106.59412,99.79024,96.615096,91.171992,106.59412,88.904032,106.59412,89.811216,113.398,88.45044,106.140528,105.233344,141.067112,103.418976,127.459352,107.501304,94.800728,86.18248,106.59412,94.347136,92.98636,94.800728,81.64656,81.64656,97.068688,92.98636,81.64656,95.25432,116.573144,99.79024,81.64656,106.59412,82.10015200000001,81.64656,94.800728,104.32616,92.98636,104.32616,111.13004,89.811216,95.25432,111.13004,94.347136,92.98636,97.975872,98.429464,99.79024,86.18248,100.697424,92.98636,120.20188,99.336648,83.91452,97.975872,109.769264,97.52228,102.511792,106.59412,97.52228,86.18248,72.57472,79.3786,81.64656,79.3786,83.91452,106.59412,108.86208,104.32616,97.52228,88.45044,108.86208,90.7184,104.32616,117.026736,113.398,102.511792,92.98636,93.893544,108.86208,81.64656,97.068688,97.52228,105.68693600000002,111.13004,106.140528,95.25432,95.25432,88.45044,111.13004,104.32616,104.779752,83.007336,87.543256,122.46984,97.52228,90.7184,85.275296,86.18248,108.86208,92.98636,88.45044,108.86208,97.068688,106.140528,79.3786,81.64656,79.3786,90.7184,102.0582,99.79024,99.336648,102.0582,87.089664,111.13004,106.59412,88.45044,108.86208,97.52228,93.439952,86.18248,83.91452,90.7184,95.25432,120.20188,108.86208,99.79024,92.98636,78.017824,83.91452,81.64656,113.398,103.418976,97.52228,99.79024,95.25432,120.20188,90.7184,102.0582,83.91452,102.0582,99.336648,83.91452,94.347136,83.91452,90.264808,104.32616,115.66596,90.7184,81.64656,90.7184,117.93392,103.872568,88.45044,114.758776,120.655472,82.10015200000001,89.357624,95.25432,97.52228,126.552168,95.25432,100.697424,90.7184,96.161504,96.161504,97.52228,113.398,84.368112,97.52228,97.068688,99.79024,108.86208,109.315672,86.18248,97.52228,88.45044,108.86208,115.66596,113.398,95.25432,104.32616,90.7184,107.954896,92.98636,83.007336,95.25432,98.883056,117.93392,92.98636,99.79024,86.18248,99.79024,92.98636,102.0582,108.86208,91.625584,127.912944,86.18248,82.553744,86.18248,81.64656,97.52228,93.893544,95.25432,99.79024,102.511792,99.79024,113.398,131.54168,98.883056,95.25432,102.0582,97.52228,99.79024,92.98636,99.79024,88.45044,110.222856,113.398,97.068688,109.769264,79.3786,107.501304,108.86208,99.79024,97.52228,97.52228,90.7184,92.98636,83.91452,86.18248,111.13004,94.800728,122.46984,106.59412,95.25432,111.13004,122.46984,102.965384,97.068688,78.92500799999999,99.79024,101.151016,90.7184,97.975872,95.25432,108.86208,87.996848,81.19296800000001,83.91452,87.996848,81.64656,97.975872,104.32616,120.20188,102.0582,103.418976,104.32616,95.25432,99.336648,106.59412,127.00576,99.79024,99.79024,86.18248,105.233344,104.32616,90.7184,86.18248,89.811216,99.336648,81.64656,83.91452,95.25432,88.45044,91.171992,92.079176,106.59412,108.86208,108.86208,92.98636,99.79024,92.98636,106.59412,115.66596,105.68693600000002,97.52228,97.068688,113.398,90.7184,86.18248,88.45044,98.883056,86.636072,98.429464,108.86208,120.20188,100.243832,95.25432,97.52228,111.13004,104.32616,112.944408,102.0582,99.79024,81.64656,103.872568,92.079176,86.18248,90.7184,88.904032,91.625584,83.91452,104.32616,89.357624,113.398,81.64656,96.161504,100.243832,118.841104,108.86208,108.86208,102.0582,91.625584,89.811216,107.047712,114.305184,120.20188,102.0582,90.7184,88.45044,97.52228,102.0582,95.25432,88.45044,94.800728,79.3786,104.32616,109.769264,100.697424,113.398,86.18248,85.275296,86.18248,90.7184,111.13004,108.86208,113.398,92.532768,86.18248,97.52228,92.98636,103.872568,104.32616,79.3786,93.439952,113.398,79.3786,102.965384,99.79024,81.64656,105.68693600000002,84.821704,100.697424,95.25432,88.45044,77.11064,90.7184,92.98636,108.86208,104.32616,75.749864,100.243832,88.904032,88.45044,113.398,104.32616,104.32616,104.779752,103.418976,98.883056,94.800728,79.3786,79.3786,108.86208,107.501304,102.0582,108.86208,93.439952,83.007336,108.86208,111.13004,111.13004,83.46092800000001,100.697424,86.18248,90.7184,113.398,97.52228,115.66596,98.883056,99.79024,94.800728,111.13004,79.3786,112.944408,108.86208,106.59412,90.7184,115.212368,91.171992,86.18248,90.7184,99.79024,117.93392,92.079176,102.0582,97.52228,81.64656,86.18248,90.7184,104.32616,99.79024,99.79024,127.00576,106.59412,95.25432,95.25432,120.20188,108.86208,97.975872,81.64656,87.996848,83.91452,95.25432,88.45044,106.59412,108.86208,107.501304,79.3786,109.769264,97.068688,113.398,110.222856,83.91452,88.45044,99.79024,99.79024,113.398,101.151016,97.975872,91.171992,95.25432,92.98636,113.851592,102.0582,90.7184,102.0582,103.872568,104.32616,99.79024,90.7184,108.86208,92.079176,83.46092800000001,86.18248,95.25432,88.45044,92.532768,97.52228,108.86208,86.18248,112.490816,86.18248,97.52228,105.233344,86.18248,97.52228,93.893544,96.615096,90.7184,92.98636,94.800728,87.996848,97.068688,81.64656,99.79024,86.18248,109.315672,88.45044,100.697424,131.54168,113.398,99.79024,117.026736,90.7184,106.59412,99.336648,79.3786,96.161504,112.490816,100.243832,77.11064,92.98636,99.79024,102.511792,95.25432,112.490816,96.615096,100.243832,81.64656,86.18248,83.91452,93.439952,91.171992,102.511792,97.52228,109.769264,83.91452,99.336648,120.20188,92.98636,100.697424,86.18248,99.79024,141.067112,105.233344,106.140528,98.883056,97.52228,86.18248,79.3786,95.25432,97.52228,93.893544,122.46984,92.98636,88.45044,99.79024,82.10015200000001,106.140528,108.86208,113.398,111.13004,80.73937600000001,97.52228,90.7184,108.86208,128.820128,107.047712,106.59412,96.615096,122.46984,83.91452,106.140528,115.212368,97.52228,88.45044,88.45044,97.52228,92.98636,115.66596,84.368112,72.57472,83.91452,92.98636,88.904032,127.00576,106.59412,88.45044,97.52228,86.18248,92.98636,89.811216,111.13004,104.32616,92.98636,104.32616,94.800728,81.64656,82.10015200000001,106.59412,97.52228,81.64656,99.79024,116.573144,95.25432,95.25432,95.25432,106.59412,99.79024,105.233344,95.25432,114.758776,119.748288,106.140528,99.79024,111.13004,92.98636,88.45044,86.18248,97.52228,107.047712,128.820128,117.93392,116.573144,97.52228,104.779752,104.32616,99.79024,102.0582,92.98636,98.429464,102.511792,113.398,104.32616,90.7184,88.45044,83.007336,97.52228,92.98636,88.45044,104.32616,108.86208,106.59412,83.91452,81.64656,97.975872,92.98636,94.347136,103.418976,79.3786,97.068688,81.64656,81.64656,102.0582,94.800728,92.98636,81.64656,94.347136,106.59412,86.18248,94.800728,102.0582,107.501304,106.59412,127.459352,113.398,90.7184,108.86208,97.52228,88.45044,108.86208,103.872568,97.068688,106.140528,79.3786,79.3786,90.7184,102.0582,83.91452,90.264808,95.25432,104.32616,83.91452,86.18248,90.7184,107.954896,92.98636,102.0582,83.007336,102.0582,95.25432,98.883056,92.98636,86.18248,92.98636,90.7184,108.86208,86.18248,83.91452,102.0582,99.336648,102.0582,87.089664,94.347136,102.0582,99.79024,97.068688,97.52228,105.68693600000002,111.13004,108.86208,106.140528,95.25432,95.25432,88.45044,111.13004,90.7184,104.32616,104.779752,83.007336,87.543256,122.46984,90.7184,83.91452,99.79024,92.98636,108.86208,102.0582,114.758776,82.10015200000001,89.357624,95.25432,97.52228,126.552168,117.93392,95.25432,104.32616,96.161504,97.52228,113.398,84.368112,97.52228,86.18248,97.068688,99.79024,108.86208,86.18248,102.0582,97.52228,83.91452,106.59412,99.79024,104.32616,102.965384,108.86208,103.872568,98.883056,91.625584,127.912944,83.91452,86.18248,86.18248,81.64656,97.52228,93.893544,95.25432,99.79024,102.511792,102.0582,99.79024,131.54168,113.398,115.66596,108.86208,88.45044,115.66596,95.25432,81.64656,90.7184,86.18248,117.93392,88.45044,113.398,90.7184,108.86208,95.25432,100.243832,108.86208,120.20188,108.86208,102.0582,91.625584,95.25432,89.811216,107.047712,86.18248,114.305184,102.0582,86.18248,113.398,100.697424,109.769264,104.32616,85.275296,94.800728,88.45044,95.25432,102.0582,97.52228,88.45044,104.779752,96.161504,86.18248,81.64656,102.0582,120.20188,97.52228,97.52228,92.98636,83.91452,88.45044,86.18248,111.13004,94.800728,86.18248,122.46984,104.32616,90.7184,106.59412,111.13004,122.46984,102.965384,97.068688,78.92500799999999,90.7184,108.86208,79.3786,113.398,104.32616,74.84268,113.398,83.91452,91.625584,83.91452,89.357624,102.0582,85.275296,111.13004,88.45044,108.86208,83.91452,90.7184,83.007336,93.439952,97.52228,86.18248,90.7184,95.25432,122.46984,99.79024,92.98636,78.017824,95.25432,83.91452,81.64656,86.18248,113.398,103.418976,111.13004,99.79024,108.86208,97.52228,120.20188,92.079176,86.18248,104.32616,108.86208,92.98636,88.45044,92.98636,115.66596,97.52228,97.068688,113.398,97.52228,95.25432,88.45044,106.59412,98.883056,99.79024,102.0582,88.904032,104.32616,111.13004,97.52228,90.7184,100.243832,120.20188,108.86208,88.904032,86.636072,111.13004,104.32616,99.79024,85.275296,94.800728,88.45044,95.25432,97.52228,87.089664,88.45044,92.079176,86.18248,90.7184,91.625584,102.0582,104.779752,120.20188,113.398,86.18248,100.243832,93.439952,99.79024,84.821704,102.0582,109.769264,91.625584,93.439952,89.811216,107.047712,112.490816,102.0582,86.18248,113.398,89.357624,99.79024,90.7184,97.52228,89.357624,111.13004,104.32616,102.0582,92.079176,97.52228,108.86208,102.0582,85.275296,111.13004,88.45044,108.86208,83.91452,81.64656,120.20188,99.79024,108.86208,98.883056,108.86208,92.98636,88.45044,88.45044,97.52228,92.98636,106.59412,115.66596,97.52228,97.068688,113.398,90.7184,99.79024,97.52228,88.45044,88.904032,102.0582,106.59412,92.98636,95.25432,90.7184,91.171992,83.91452,97.975872,101.151016,99.79024,108.86208,99.79024,92.98636,92.98636,106.140528,92.98636,88.45044,110.222856,80.28578399999998,97.068688,90.7184,95.25432,120.20188,95.25432,102.511792,127.00576,81.64656,92.98636,108.86208,99.79024,99.79024,115.66596,104.32616,90.7184,113.398,81.64656,109.769264,79.3786,113.398,109.769264,87.543256,111.13004,122.46984,86.18248,102.965384,78.92500799999999,92.079176,108.86208,113.398,79.3786,99.336648,83.91452,113.398,104.32616,105.233344,74.84268,83.91452,79.3786,91.625584,104.32616,93.439952,108.86208,99.79024,97.52228,86.18248,92.98636,97.52228,92.98636,99.336648,84.368112,86.18248,111.13004,94.800728,117.026736,86.18248,106.59412,83.007336,108.86208,97.52228,102.0582,86.18248,82.553744,86.18248,81.64656,97.52228,85.275296,93.893544,95.25432,76.657048,99.79024,102.511792,102.0582,113.398,131.54168,83.91452,113.398,127.912944,108.86208,78.92500799999999,92.98636,83.007336,108.408488,99.79024,95.25432,95.25432,98.429464,92.98636,99.79024,99.79024,86.18248,90.7184,99.79024,92.98636,91.625584,107.954896,115.66596,115.66596,113.398,84.368112,86.18248,99.79024,97.068688,108.86208,78.92500799999999,109.315672,90.7184,102.0582,86.18248,97.52228,83.91452,95.25432,106.59412,97.52228,88.45044,96.161504,95.25432,90.7184,90.7184,81.64656,90.7184,89.357624,94.800728,88.45044,102.965384,104.32616,102.0582,114.758776,82.10015200000001,89.357624,97.52228,126.552168,110.222856,90.7184,86.18248,83.91452,90.7184,100.243832,83.91452,120.20188,93.439952,102.0582,91.625584,99.336648,92.079176,92.532768,72.57472,87.089664,94.347136,99.79024,97.52228,120.20188,107.047712,95.25432,99.79024,86.18248,83.91452,90.7184,95.25432,120.20188,99.79024,92.98636,78.017824,95.25432,83.91452,81.64656,86.18248,113.398,103.418976,122.46984,83.91452,111.13004,108.86208,106.140528,103.872568,97.068688,106.140528,79.3786,86.18248,79.3786,90.7184,102.0582,99.336648,97.52228,90.264808,104.32616,95.25432,104.32616,78.471416,116.119552,88.45044,92.98636,120.20188,95.25432,95.25432,88.45044,111.13004,92.532768,90.7184,102.511792,93.439952,100.697424,83.007336,87.543256,88.904032,90.7184,101.604608,86.18248,83.91452,104.779752,102.0582,99.79024,87.996848,97.52228,108.86208,92.98636,98.429464,99.336648,97.52228,83.007336,88.45044,90.7184,104.32616,117.026736,113.398,102.511792,97.975872,92.98636,102.0582,94.347136,83.91452,104.32616,99.79024,99.336648,83.91452,109.769264,97.52228,102.511792,92.98636,79.83219199999998,88.45044,86.18248,92.98636,81.64656,83.91452,106.59412,108.86208,92.532768,83.91452,127.459352,107.501304,95.25432,116.573144,99.79024,81.64656,97.52228,81.64656,94.800728,104.32616,90.7184,104.32616,111.13004,92.98636,89.811216,95.25432,108.86208,95.25432,106.59412,88.45044,102.0582,94.800728,92.98636,86.18248,106.59412,113.398,94.347136,92.98636,94.800728,81.64656,81.64656,90.7184,97.068688,79.3786,92.98636,95.25432,99.79024,124.7378,108.86208,90.7184,97.52228,102.511792,95.25432,112.490816,96.615096,100.243832,74.389088,90.7184,83.91452,80.73937600000001,79.3786,107.501304,95.25432,86.18248,102.0582,92.98636,97.52228,77.11064,96.161504,120.20188,92.98636,86.18248,141.067112,105.233344,106.140528,98.883056,97.52228,91.171992,93.439952,86.18248,104.32616,106.59412,99.336648,79.3786,112.490816,86.18248,83.91452,93.439952,93.893544,105.233344,122.46984,92.98636,88.45044,99.79024,82.10015200000001,108.86208,113.398,74.84268,97.52228,111.13004,97.52228,93.439952,113.398,107.047712,106.140528,88.45044,122.46984,115.212368,97.52228,88.45044,115.66596,94.800728,88.45044,84.368112,72.57472,83.91452,90.7184,89.811216,88.904032,122.46984,106.59412,103.872568,96.615096,97.975872,108.86208,105.233344,88.45044,100.697424,105.68693600000002,100.697424,92.079176,81.19296800000001,113.851592,97.52228,89.811216,108.86208,92.079176,83.91452,97.52228,92.532768,88.45044,99.79024,95.25432,77.11064,108.86208,90.7184,113.398,108.86208,111.13004,90.7184,86.18248,95.25432,104.32616,81.64656,113.398,88.45044,88.904032,100.243832,75.749864,104.32616,92.98636,85.728888,83.46092800000001,108.86208,92.98636,85.728888,90.7184,96.615096,93.893544,97.52228,90.7184,92.98636,97.52228,81.19296800000001,90.7184,87.996848,102.0582,83.91452,90.7184,94.800728,92.079176,97.068688,104.779752,90.7184,99.79024,104.32616,103.872568,75.749864,112.490816,100.243832,97.52228,105.233344,131.54168,100.697424,88.45044,99.79024,81.64656,93.439952,113.398,99.79024,97.52228,86.18248,88.45044,102.511792,95.707912,111.13004,111.13004,108.86208,83.007336,104.779752,93.439952,108.86208,88.45044,102.0582,108.86208,79.3786,94.800728,88.45044,98.883056,113.398,99.79024,104.779752,97.52228,117.93392,128.820128,93.893544,104.32616,92.98636,111.13004,97.52228,99.79024,106.140528,112.490816,119.748288,114.758776,95.25432,99.79024,92.532768,97.52228,108.86208,90.7184,104.32616,84.821704,99.79024,103.872568,79.3786,83.91452,96.615096,113.398,93.439952,110.222856,104.32616,97.52228,92.98636,79.3786,86.18248,87.089664,103.418976,98.883056,97.52228,99.79024,86.18248,97.52228,90.264808,91.171992,115.212368,90.7184,106.59412,108.86208,79.3786,99.79024,111.13004,94.800728,99.79024,92.98636,112.490816],\"yaxis\":\"y\",\"type\":\"scattergl\"}],                        {\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"player_height\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"player_weight\"}},\"coloraxis\":{\"colorbar\":{\"title\":{\"text\":\"pts\"}},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60}},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('788db4bc-36f9-4e1a-8cc5-e798fcd0a537');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 3. 데이터 전처리\n",
        "\n",
        "여기서서는 `Stephen Curry`선수의 데이터를 Curry_data에 저장해주세요!"
      ],
      "metadata": {
        "id": "RA-NfRi2fIi4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Curry_data = df_players[df_players['player_name'] == 'Stephen Curry']\n",
        "Curry_data"
      ],
      "metadata": {
        "id": "fJanvN31uT73",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 793
        },
        "outputId": "6c6760a4-f28e-43a2-bb67-586e771f3246"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Unnamed: 0    player_name team_abbreviation   age  player_height  \\\n",
              "5926         5926  Stephen Curry               GSW  22.0         190.50   \n",
              "6361         6361  Stephen Curry               GSW  23.0         190.50   \n",
              "6999         6999  Stephen Curry               GSW  24.0         190.50   \n",
              "7173         7173  Stephen Curry               GSW  25.0         190.50   \n",
              "7838         7838  Stephen Curry               GSW  26.0         190.50   \n",
              "8292         8292  Stephen Curry               GSW  27.0         190.50   \n",
              "8739         8739  Stephen Curry               GSW  28.0         190.50   \n",
              "9182         9182  Stephen Curry               GSW  29.0         190.50   \n",
              "9877         9877  Stephen Curry               GSW  30.0         190.50   \n",
              "10141       10141  Stephen Curry               GSW  31.0         190.50   \n",
              "10869       10869  Stephen Curry               GSW  32.0         190.50   \n",
              "11335       11335  Stephen Curry               GSW  33.0         190.50   \n",
              "12024       12024  Stephen Curry               GSW  34.0         187.96   \n",
              "\n",
              "       player_weight   college country draft_year draft_round  ...   pts  reb  \\\n",
              "5926        83.91452  Davidson     USA       2009           1  ...  17.5  4.5   \n",
              "6361        83.91452  Davidson     USA       2009           1  ...  18.6  3.9   \n",
              "6999        83.91452  Davidson     USA       2009           1  ...  14.7  3.4   \n",
              "7173        83.91452  Davidson     USA       2009           1  ...  22.9  4.0   \n",
              "7838        83.91452  Davidson     USA       2009           1  ...  24.0  4.3   \n",
              "8292        86.18248  Davidson     USA       2009           1  ...  23.8  4.3   \n",
              "8739        86.18248  Davidson     USA       2009           1  ...  30.1  5.4   \n",
              "9182        86.18248  Davidson     USA       2009           1  ...  25.3  4.5   \n",
              "9877        86.18248  Davidson     USA       2009           1  ...  26.4  5.1   \n",
              "10141       86.18248  Davidson     USA       2009           1  ...  27.3  5.3   \n",
              "10869       83.91452  Davidson     USA       2009           1  ...  20.8  5.2   \n",
              "11335       83.91452  Davidson     USA       2009           1  ...  32.0  5.5   \n",
              "12024       83.91452  Davidson     USA       2009           1  ...  25.5  5.2   \n",
              "\n",
              "       ast  net_rating  oreb_pct  dreb_pct  usg_pct  ts_pct  ast_pct   season  \n",
              "5926   5.9        -3.1     0.018     0.118    0.218   0.568    0.241  2009-10  \n",
              "6361   5.8        -0.6     0.023     0.109    0.242   0.595    0.268  2010-11  \n",
              "6999   5.3         5.4     0.023     0.111    0.235   0.605    0.295  2011-12  \n",
              "7173   6.9         2.4     0.022     0.092    0.261   0.589    0.298  2012-13  \n",
              "7838   8.5         9.4     0.018     0.108    0.281   0.610    0.372  2013-14  \n",
              "8292   7.7        17.0     0.024     0.113    0.283   0.638    0.358  2014-15  \n",
              "8739   6.7        18.3     0.029     0.131    0.320   0.669    0.315  2015-16  \n",
              "9182   6.6        17.2     0.027     0.113    0.292   0.624    0.287  2016-17  \n",
              "9877   6.1        13.0     0.024     0.124    0.290   0.675    0.272  2017-18  \n",
              "10141  5.2        13.7     0.020     0.122    0.292   0.641    0.225  2018-19  \n",
              "10869  6.6       -15.3     0.023     0.162    0.286   0.557    0.355  2019-20  \n",
              "11335  5.8         4.6     0.013     0.135    0.331   0.655    0.283  2020-21  \n",
              "12024  6.3        10.7     0.015     0.126    0.293   0.601    0.286  2021-22  \n",
              "\n",
              "[13 rows x 22 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7d0a7dae-6023-41ce-95ac-a2e657f1c164\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>player_name</th>\n",
              "      <th>team_abbreviation</th>\n",
              "      <th>age</th>\n",
              "      <th>player_height</th>\n",
              "      <th>player_weight</th>\n",
              "      <th>college</th>\n",
              "      <th>country</th>\n",
              "      <th>draft_year</th>\n",
              "      <th>draft_round</th>\n",
              "      <th>...</th>\n",
              "      <th>pts</th>\n",
              "      <th>reb</th>\n",
              "      <th>ast</th>\n",
              "      <th>net_rating</th>\n",
              "      <th>oreb_pct</th>\n",
              "      <th>dreb_pct</th>\n",
              "      <th>usg_pct</th>\n",
              "      <th>ts_pct</th>\n",
              "      <th>ast_pct</th>\n",
              "      <th>season</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>5926</th>\n",
              "      <td>5926</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>22.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>83.91452</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>17.5</td>\n",
              "      <td>4.5</td>\n",
              "      <td>5.9</td>\n",
              "      <td>-3.1</td>\n",
              "      <td>0.018</td>\n",
              "      <td>0.118</td>\n",
              "      <td>0.218</td>\n",
              "      <td>0.568</td>\n",
              "      <td>0.241</td>\n",
              "      <td>2009-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6361</th>\n",
              "      <td>6361</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>23.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>83.91452</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>18.6</td>\n",
              "      <td>3.9</td>\n",
              "      <td>5.8</td>\n",
              "      <td>-0.6</td>\n",
              "      <td>0.023</td>\n",
              "      <td>0.109</td>\n",
              "      <td>0.242</td>\n",
              "      <td>0.595</td>\n",
              "      <td>0.268</td>\n",
              "      <td>2010-11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6999</th>\n",
              "      <td>6999</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>24.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>83.91452</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>14.7</td>\n",
              "      <td>3.4</td>\n",
              "      <td>5.3</td>\n",
              "      <td>5.4</td>\n",
              "      <td>0.023</td>\n",
              "      <td>0.111</td>\n",
              "      <td>0.235</td>\n",
              "      <td>0.605</td>\n",
              "      <td>0.295</td>\n",
              "      <td>2011-12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7173</th>\n",
              "      <td>7173</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>25.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>83.91452</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>22.9</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.9</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.022</td>\n",
              "      <td>0.092</td>\n",
              "      <td>0.261</td>\n",
              "      <td>0.589</td>\n",
              "      <td>0.298</td>\n",
              "      <td>2012-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7838</th>\n",
              "      <td>7838</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>26.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>83.91452</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>24.0</td>\n",
              "      <td>4.3</td>\n",
              "      <td>8.5</td>\n",
              "      <td>9.4</td>\n",
              "      <td>0.018</td>\n",
              "      <td>0.108</td>\n",
              "      <td>0.281</td>\n",
              "      <td>0.610</td>\n",
              "      <td>0.372</td>\n",
              "      <td>2013-14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8292</th>\n",
              "      <td>8292</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>27.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>86.18248</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>23.8</td>\n",
              "      <td>4.3</td>\n",
              "      <td>7.7</td>\n",
              "      <td>17.0</td>\n",
              "      <td>0.024</td>\n",
              "      <td>0.113</td>\n",
              "      <td>0.283</td>\n",
              "      <td>0.638</td>\n",
              "      <td>0.358</td>\n",
              "      <td>2014-15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8739</th>\n",
              "      <td>8739</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>28.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>86.18248</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>30.1</td>\n",
              "      <td>5.4</td>\n",
              "      <td>6.7</td>\n",
              "      <td>18.3</td>\n",
              "      <td>0.029</td>\n",
              "      <td>0.131</td>\n",
              "      <td>0.320</td>\n",
              "      <td>0.669</td>\n",
              "      <td>0.315</td>\n",
              "      <td>2015-16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9182</th>\n",
              "      <td>9182</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>29.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>86.18248</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>25.3</td>\n",
              "      <td>4.5</td>\n",
              "      <td>6.6</td>\n",
              "      <td>17.2</td>\n",
              "      <td>0.027</td>\n",
              "      <td>0.113</td>\n",
              "      <td>0.292</td>\n",
              "      <td>0.624</td>\n",
              "      <td>0.287</td>\n",
              "      <td>2016-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9877</th>\n",
              "      <td>9877</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>30.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>86.18248</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>26.4</td>\n",
              "      <td>5.1</td>\n",
              "      <td>6.1</td>\n",
              "      <td>13.0</td>\n",
              "      <td>0.024</td>\n",
              "      <td>0.124</td>\n",
              "      <td>0.290</td>\n",
              "      <td>0.675</td>\n",
              "      <td>0.272</td>\n",
              "      <td>2017-18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10141</th>\n",
              "      <td>10141</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>31.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>86.18248</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>27.3</td>\n",
              "      <td>5.3</td>\n",
              "      <td>5.2</td>\n",
              "      <td>13.7</td>\n",
              "      <td>0.020</td>\n",
              "      <td>0.122</td>\n",
              "      <td>0.292</td>\n",
              "      <td>0.641</td>\n",
              "      <td>0.225</td>\n",
              "      <td>2018-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10869</th>\n",
              "      <td>10869</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>32.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>83.91452</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>20.8</td>\n",
              "      <td>5.2</td>\n",
              "      <td>6.6</td>\n",
              "      <td>-15.3</td>\n",
              "      <td>0.023</td>\n",
              "      <td>0.162</td>\n",
              "      <td>0.286</td>\n",
              "      <td>0.557</td>\n",
              "      <td>0.355</td>\n",
              "      <td>2019-20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11335</th>\n",
              "      <td>11335</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>33.0</td>\n",
              "      <td>190.50</td>\n",
              "      <td>83.91452</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>32.0</td>\n",
              "      <td>5.5</td>\n",
              "      <td>5.8</td>\n",
              "      <td>4.6</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.135</td>\n",
              "      <td>0.331</td>\n",
              "      <td>0.655</td>\n",
              "      <td>0.283</td>\n",
              "      <td>2020-21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12024</th>\n",
              "      <td>12024</td>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>GSW</td>\n",
              "      <td>34.0</td>\n",
              "      <td>187.96</td>\n",
              "      <td>83.91452</td>\n",
              "      <td>Davidson</td>\n",
              "      <td>USA</td>\n",
              "      <td>2009</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>25.5</td>\n",
              "      <td>5.2</td>\n",
              "      <td>6.3</td>\n",
              "      <td>10.7</td>\n",
              "      <td>0.015</td>\n",
              "      <td>0.126</td>\n",
              "      <td>0.293</td>\n",
              "      <td>0.601</td>\n",
              "      <td>0.286</td>\n",
              "      <td>2021-22</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>13 rows × 22 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7d0a7dae-6023-41ce-95ac-a2e657f1c164')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7d0a7dae-6023-41ce-95ac-a2e657f1c164 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7d0a7dae-6023-41ce-95ac-a2e657f1c164');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "CMHQ9ufKnr1h"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 4. LinePlot그려보기\n",
        "\n",
        "`lineplot`을 이용하여 Stephen Curry선수의 시즌별 `pts`, `reb`, `ast`값 비교해보세요! \n",
        "\n",
        "아래그림처럼 plot을 그리면됩니다!"
      ],
      "metadata": {
        "id": "4xVNo2k76vgi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# pts \n",
        "plt.figure(figsize=(10,7))\n",
        "x = Curry_data['season']\n",
        "y = Curry_data['pts']\n",
        "\n",
        "plt.plot(x, y, label='pts', color='red')\n",
        "\n",
        "# reb\n",
        "x = Curry_data['season']\n",
        "y = Curry_data['reb']\n",
        "\n",
        "plt.plot(x, y, label='reb', color='green')\n",
        "\n",
        "#ast\n",
        "x = Curry_data['season']\n",
        "y = Curry_data['ast']\n",
        "\n",
        "plt.plot(x, y, label='ast', color='blue')\n",
        "\n",
        "\n",
        "########### Make ###########\n",
        "\n",
        "plt.xlabel(\"season\")\n",
        "plt.ylabel(\"score\")\n",
        "plt.title(\"Comparison of heighjts by aged of men and women\")\n",
        "plt.legend()\n",
        "\n",
        "############################\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "GjLhuTxj5z7s",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "outputId": "7d6467bc-e1c7-461b-ec22-b72c24c96ccd"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl4AAAG5CAYAAABfiDohAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdd5iTZdbH8e9NkyKIFJEixYYgKi6oyFgAC6BIUXxdEfuuioodFSuuBetaEMQCytpdlSDSBBsioIKioEiRIlWK9D4z9/vHyewEnBkyM0meJPP7XFeuSfIkz3NSJjm5y7md9x4RERERib9SQQcgIiIiUlIo8RIRERFJECVeIiIiIgmixEtEREQkQZR4iYiIiCSIEi8RERGRBFHiJRJDzrmLnHOfBB1HDudcBefcSOfcBufcf/PY3s8590YR932Xc+6VKG9b4HGccz8759oUJY7CHCcZOecaOue8c65MEe5b4OubLlLxdRXJT6H/0UUSwTnXA7gFOALYBMwAHvbeTwo0sL3w3r8JvBl0HBG6A7WA6t77zFju2Hv/SAz3dWTOeedcP+BQ733PWO0/jcXt9RWR+FCLlyQd59wtwDPAI9iXSn1gENAlyLj2pigtFgnQAJirL+W0pddXJMUo8ZKk4pzbD/gXcJ33/kPv/Rbv/S7v/UjvfZ/wbfZxzj3jnFsePj3jnNsnvK2Nc26pc+5259wq59wK51xX59xZzrm5zrk/nXN3RRyvn3Pufefcu865Tc65751zx0Rsv9M591t42y/OuW4R2y5zzn3tnHvaObcW6Be+blJ4uwtvW+Wc2+icm+mca5bzOJ1z/3HOrXbOLXbO3eOcKxWx30nOuSedc+uccwudcx0LeM6aOOe+cM6tD3fZdQ5f/wBwH3CBc26zc+7KfHZRLhzLpvD9W0bsu45z7oNwnAudczfs8dy9EXH5kvBjWeucu9c5t8g5d3qUx1nknDvdOdcBuCsi5h8jnpMF4fsudM5dlN/zAZTP6/V0zvVxzn2wx3P3nHPu2Xye14Je+9LOuaecc2vC8Vwf2V0Yfn2HhN9/y5xzDznnSkfc98nwfRcAZxfwWIr1+oZfo/86594IP46ZzrnDnXN9w+/LJc65MyNuX1DchX1f7u1/J999OecaOee+DN93PFCjgON86Zw7L3w+I/w6nB2+fJpzbkb4fCln/2eLw4/9P84+byK7ey8PPyfrnHPXOOeOc879FH7un9/juFc452aHbzvOOdcgYpsP339e+L4DnXMuv8cgJYz3XiedkuYEdAAygTIF3OZfwFTgAKAmMBl4MLytTfj+9wFlgX8Cq4G3gMrAkcA2oFH49v2AXViXTVngNmAhUDa8/XygDvYj5QJgC1A7vO2y8LF6Y932FcLXTQpvbw9MB6oCDmgScd//ACPCMTUE5gJXRux3Vzj20kAvYDng8nguygLzsWSlHNAO65ptHPH43ijguewHbAfOCh+rPzA1vK1UOP77wvs+GFgAtN9z30BTYDNwUvi2T4Yfw+l7O054+6I9bvtGxLZKwMaIx1QbOLKAx5Pn6xm+3xagavi2ZYBVQIt89lXQa38N8AtQD9gfmAB4wu9bYDjwYjj2A4Bvgasj7vsrcBBQDfg88r5xen3bhx/vf8LPx93k/n8sjLh9QXFfRpTvyyj/d/LdFzAF+DewD3BK+DHn+Tixz4MB4fN3Ab8Bj0VsezZ8/orwc3kwsC/wIfB6eFvD8GswGCgPnBl+3kLh56Fu+L1yavj2XcL7ahJ+Xu8BJkfE5IGPsf/9+thnUIegP191So5T4AHopFPkCbgIWLmX2/wGnBVxuT2wKHy+DZZYlQ5frhz+EDwh4vbTga7h8/3YPQEoBawATs7n2DOALuHzlwG/77H9MnITr3ZYQtUKKBVxm9LATqBpxHVXA19E7GN+xLaK4cdwYB7xnAys3GP/bwP9Ih7f3r6YJ0RcbgpsC58/IY/H1xd4dc99Y8nZ23vEvJPdk6k8jxO+vIiCE6/1wHlAhb28Nwp8PYExwD/D5zsBvxTivRn52n9GOCEJXz49/BqVwbrHd0TGClwIfB5x32sitp1J/olXLF7f8RGXz8ES5D3/P6pGEfdlRPm+jPJ/J899YYlKJlApYvtb+T1O4DTgp/D5scA/yP3x8CVwbvj8p8C1EfdrjCV/ZchNvOpGbF8LXBBx+QPgpoj30ZV7vM+2Ag3Clz1wUsT294A7o32v6ZTeJ3U1SrJZC9RwBY+XqgMsjri8OHzd//bhvc8Kn98W/vtHxPZt2C/eHEtyznjvs4GlOftz1n02I9xdsB5oxu7dHkvIh/f+M+B5YCCwyjn3knOuSvj+ZfN4DHUjLq+M2M/W8NnImHPUAZaE485vX3uzMuL8Vqyrrgw2fqhOzmMPP/67sC/oPOPYI+a1UR6nQN77LViLyTXACufcKOfcEQXcJd/XExgG5Aza7wm8nt9O9vLa7/Z49zjfAHt9V0Tc90Ws5SSv+0a+D/YUi9d3z/f+mjz+P/aNIm6I/n0Zzf9OfvuqA6wLv+45CnqOpgCHO+dqAc2xVr2DnHM1gOOBieHb5fW5kZMo59jzucrvc6MB8GzEY/sTa9XO838Ye7/n+TxJyaPES5LNFOxXd9cCbrMc++DLUT98XVEdlHPG2TiresDy8JiNl4HrsVljVYFZ2AdsDl/Qjr33z3nvW2AtPIcDfYA12C/tPR/DsiLEvhz7kon8Xy7qvva0BOuGqhpxquy9PyuP267AnjfAyhwA1Yt43L88p977cd77M7Duwl+x1yU/eb6e4atCwNHOxtp1Ip8ZqFG89rs93shjYs/bDqBGxPNWxefO3Fyxx+3rF/BY4vn67mlvcUctyv+d/KwA9nfOVYq4Lt/nKJy0TQduBGZ573diww9uAX7z3q8J3zSvz41Mdk+uorUEa/GM/N+o4L2fXIR9SQmjxEuSivd+A9ZtNdDZoPiKzrmyzrmOzrnHwzd7G7jHOVcz/Kv2PqA4NX5aOOfODbe+3IR9+UzFurg8Nj4D59zl2K/2qIQH5p7gnCuLjW/ZDmSHWxveAx52zlUOf0ndUsTH8A32a/r28PPUButOeqcI+9rTt8Am59wdzupFlXbONXPOHZfHbd8HznHOtXbOlcO6uIo6mPgPoKHLnWxQyznXJfxFvAPrKssu4P75vZ5477eHY30L+NZ7/3s++9jba/8ecKNzrq5zripwR84G7/0K4BPgKedclfCg7kOcc6dG3PcG51w959z+wJ0FPJZ4vr67iSLuwijy/473fjEwDXjAOVfOOXcS9pgL8iWW5H0ZvvzFHpfBPjdudjZwf19s1vS7vmgzQgcDfZ1zR8L/JiWcX4T9SAmkxEuSjvf+KSwRuQf74F6CfYiGwjd5CPtg/gmYCXwfvq6oRmBdWeuAi7ExIbu8978AT2GtcH8ARwFfF2K/VbBf/euwbo21wBPhbb2xZGwBMAlLBIYWNvDwr/tzgI5YS9og4BLv/a+F3Vce+87CWoWaYwOy1wCvAPvlcdufscf0DtZisRkbjLyjCIfOKQS61jn3PfY5dQvWYvEncCo2GDs/eb6eEduHYa9lvt2MUbz2L2NJyk/AD8BorPUkpwvvEmww/C/hON7HWuty7jsO+BF7735YQBxxe33zUVDcUYvB/04PbIzhn8D9WPdhQb7ExqtNzOcy2P/X6+HrFmI/hHoXIqb/8d4PBx4D3nHObcRa8/Kd4SkSKWcGiUiJ5FSsMy7CLQrrgcO89wujuP3vQE/v/cS93TYGsdXHuisP9N5vjNE+OwKDvfcN9npjESnR1OIlIjHhnDsn3DVcCSsnMRObrbi3+9XEyoLs9bbFFe6+vAV4pzhJV7jr9SznXBnnXF2sVWZ4rOIUkfSlxEtEYqUL1h24HDgM+LvfS5N6eLzYPKwOU37jrWIinBBuBM7AEqVi7Q54AOuO+wGYjY01FBEpkLoaRURERBJELV4iIiIiCZKMi/r+RY0aNXzDhg2DDkNERERkr6ZPn77Ge18zr20pkXg1bNiQadOmBR2GiIiIyF455/JdbUFdjSIiIiIJosRLREREJEGUeImIiIgkSEqM8crLrl27WLp0Kdu3bw86lGIrX7489erVo2zZskGHIiIiInGUsonX0qVLqVy5Mg0bNsS5oq7FGzzvPWvXrmXp0qU0atQo6HBEREQkjlK2q3H79u1Ur149pZMuAOcc1atXT4uWOxERESlYyiZeQMonXTnS5XGIiIhIwVI68RIRERFJJUq84uCZZ55h69atQYchIiIiSUaJVxwo8RIREZG8pOysxmSwaNEiOnToQIsWLfj+++858sgjOeWUU1i+fDlt27alRo0aTJgwgSuvvJJp06bhnOOKK67g5ptvDjp0ERERCUB6JF433QQzZsR2n82bwzPP7PVmc+bMYciQIWRkZHDFFVewc+dO6tSpw+eff06NGjWYPn06y5YtY9asWQCsX78+tnGKiIhIylBXYzEddNBBZGRkANCzZ08mTZq02/aDDz6YBQsW0Lt3b8aOHUuVKlWCCFNERESSQHq0eEXRMhUve5aC2PPy/vvvz48//si4ceMYPHgw7733HkOHDk1kiCIiIpIk1OJVTL///jtTpkwB4K233uKkk06icuXKbNq0CYA1a9aQnZ3Neeedx0MPPcT3338fZLgiIiKxlZ0Na9cGHUXKUOJVTI0bN2bgwIE0adKEdevW0atXL6666io6dOhA27ZtWbZsGW3atKF58+b07NmT/v37Bx2yiIhI7LzwAtSrB/PmBR1JSkiPrsYAlSlThjfeeGO363r37k3v3r3/d1mtXCIikrbeeQe2b4d77oF33w06mqSnFi8REREpmlWr4OuvoXZteO89mDYt6IiSnhKvYmjYsOH/ykSIiIiUOCNHgvfW6lWjBtx5Z9ARJT0lXiIiIlI0oRA0aAAnnwz33guffgrjxwcdVVJT4iUiIiKFt3mzJVldu4JzcPXV0KgR3HGHzXSUPCnxEhERkcIbNw527LDEC2CffeDBB+GHHzTIvgBKvERERKTwQiGoVg1OOin3ugsvhGOOsRmOO3cGF1sSU+IVZ4sWLaJZs2ZBhyEiIhI7u3bBxx9Dp05QJqIyValS8NhjsGABvPRScPElMSVeMeK9J1t92iIiUhJ89RWsX5/bzRjpzDOhbVv4178gvIqL5FLiVQyLFi2icePGXHLJJTRr1owHH3yQ4447jqOPPpr777//f7fLzMzkoosuokmTJnTv3p2tW7cGGLWIiEgxhUJQvrwlWXtyzlq9Vq+Gf/878bElubSoXH/T2JuYsXJGTPfZ/MDmPNNh74tvz5s3j2HDhrFx40bef/99vv32W7z3dO7cmYkTJ1K/fn3mzJnDkCFDyMjI4IorrmDQoEHcdtttMY1XREQkIby3xOvMM6FSpbxvc9xxcP758OSTcM01UKtWYmNMYmrxKqYGDRrQqlUrPvnkEz755BOOPfZY/va3v/Hrr78yL7xu1UEHHURGRgYAPXv2ZNKkSUGGLCIiUnQ//ABLluTdzRjpoYdg2zb7K/+TFi1e0bRMxUulcLbvvadv375cffXVu21ftGgRzrndrtvzsoiISMoIhWwQfadOBd/u8MPhn/+EF1+Em26CQw5JTHxJTi1eMdK+fXuGDh3K5s2bAVi2bBmrVq0C4Pfff2fKlCkAvPXWW5wUOfVWREQklYRCVkKiZs293/a++6BsWatqL4ASr5g588wz6dGjByeeeCJHHXUU3bt3Z1N4Nkfjxo0ZOHAgTZo0Yd26dfTq1SvgaEVERIrgt99g5sy9dzPmqF0bbr4Z3n4bvv8+vrGlCOe9DzqGvWrZsqWftseK57Nnz6ZJkyYBRRR76fZ4REQkDf3733DrrZaAHXxwdPfZsMG6GVu0sGr3JYBzbrr3vmVe29TiJSIiItEZMQKOOir6pAtgv/3g7rvhk09gwoT4xZYilHiJiIjI3q1eDZMmRd/NGOnaa6FBA7jzzhK/gLYSLxEREdm7jz+2pKkoiVfOAtrTp8P778c+thSixEtERET2LhSCgw6CY48t2v179LBuyrvusrUeSyglXiIiIlKwLVtsjFbXrrYkUFGULg2PPmoD819+ObbxpZC4JV7OufLOuW+dcz865352zj0Qvr6Rc+4b59x859y7zrly8YpBRCRfmzfDzp1BRyGSGj75BLZvL1o3Y6SOHeHUU20B7XDdy5Imni1eO4B23vtjgOZAB+dcK+Ax4Gnv/aHAOuDKOMaQNF577TWWL18edBgiApZwHXcctG4NO3YEHY1I8guFYP/94eSTi7cf56zV648/4OmnYxNbiolb4uVNTjpbNnzyQDsgZ2TdMKCY6XNqUOIlkkReeAF+/dUG+t55Z9DRiCS3zEwYOdKWCCpbtvj7a9UKzj0XHn/cZkqWMHEd4+WcK+2cmwGsAsYDvwHrvfeZ4ZssBermc9+rnHPTnHPTVifxC9O1a1datGjBkUceyUsvvURWVhaXXXYZzZo146ijjuLpp5/m/fffZ9q0aVx00UU0b96cbdu2BR22SMm1bp11c5xxBvTuDc88A6NGBR2VSPL66iv7vyluN2OkRx6xBbQffjh2+0wRcV0k23ufBTR3zlUFhgNHFOK+LwEvgVWuL+i2N90EM2YUJ9K/at7cPo/3ZujQoVSrVo1t27Zx3HHH0aJFC5YtW8asWbMAWL9+PVWrVuX555/nySefpGXLPAvZikiiPPKIfYk88QQ0bgwTJ8Jll8GPP0KdOkFHJ5J8RoywchBnnhm7fTZuDFdcAYMGwY03QqNGsdt3kkvIrEbv/Xrgc+BEoKpzLifhqwcsS0QM8fLcc89xzDHH0KpVK5YsWcLOnTtZsGABvXv3ZuzYsVSpUiXoEEUkx8KF8NxzlmgdcwyULw/vvANbt8LFF0NWVtARiiQX72181xlnwL77xnbf998PZcqUuAW049bi5ZyrCezy3q93zlUAzsAG1n8OdAfeAS4FRhT3WNG0TMXDF198wYQJE5gyZQoVK1akTZs27Nixgx9//JFx48YxePBg3nvvPYYOHRpMgCKyu7vusintDz6Ye90RR8CAAXDllTbmpG/f4OITSTY//giLF8cnOapb17qsHn0UbrvNuppKgHi2eNUGPnfO/QR8B4z33n8M3AHc4pybD1QHhsQxhrjasGED+++/PxUrVuTXX39l6tSprFmzhuzsbM477zweeughvg+vxl65cmU2bdoUcMQiJdg331jr1m232Qd+pMsvh7//3b5cpkwJJj6RZBQK2UzEc86Jz/5vvx2qVi1RP3ji1uLlvf8J+Et5W+/9AuD4eB03kTp06MDgwYNp0qQJjRs3plWrVixbtow2bdqQHV6Lqn///gBcdtllXHPNNVSoUIEpU6ZQoUKFIEMXKVm8t4SrVi3o0+ev252DwYNh6lS48EIbNFq1auLjFEk2oRBkZMABB8Rn/1Wr2gLat90Gn38ObdvG5zhJxHlf4Lj1pNCyZUs/bdq03a6bPXs2TZo0CSii2Eu3xyOSVIYPt+nrL74IV12V/+2mToWTToLu3eHtt4teoVskHSxcCAcfDE8+CbfeGr/jbN8Ohx8OBx5oLdNp8H/nnJvuvc9zNp2WDBKR9LZzp3VnNG1qs6gK0qoVPPQQvPsuaGymlHQjwkOwu3SJ73HKl7cSL999Bx98EN9jJQElXiKS3l58EebPt/IRZaIYXXH77XDaaXDDDTB7dvzjE0lWoRA0awaHHhr/Y118MRx5pHU7pvkC2imdeKVCN2k00uVxiCSd9evhgQcskerYMbr7lCoFr78OFSvagPvt2+Mbo0gyWrPGCqfGu7UrR+nS0L8/zJ2b9q3NKZt4lS9fnrVr16Z80uK9Z+3atZQvXz7oUETST//+8OefNkalMONGateGYcPgp5+sBUykpBk1CrKzY1utfm86dbIxlv36wZYtiTtugsW1cn081atXj6VLl5LMywlFq3z58tSrVy/oMETSy6JF8OyzcMklRasPdNZZVmPomWeseGS8ptOLJKNQyMqutGiRuGM6B489ZrMon33W6u6loZSd1SgiUqCLLoIPP4R586CoP2x27IATT4Tff7dCknvW/xJJR1u3Qo0aNhnl+ecTf/yuXa20xG+/WRwpSLMaRaRk+e47eOstmwJfnNbkffaxoqvbt0PPnlpSSEqG8eNtAetEdjNGeuQR2LzZ/qYhJV4ikl5yiqUecADccUfx93f44TBwIHzxhY0ZE0l3oRDstx+cemowx2/a1FaTGDjQlitKM0q8RCS9fPQRTJxosxkrV47NPi+5BHr0sEG/X38dm32KJKPMTBg50ga6ly0bXBz9+tkM4/vuCy6GOFHiJSLpY9cum4V4xBHwj3/Ebr/OwQsvQIMGloCtXx+7fYskk6+/hrVrg+tmzFGvntXSe/11m12cRpR4iUj6eOklqwMUbbHUwqhSxZYRWr4c/vlP69IUSTehkI1tbN8+6EjgzjutyzPNZjcq8RKR9LBhg3VPtG0LZ58dn2Mcfzw8/DC8/z688kp8jiESFO8t8TrttNh10xfH/vtD375WU+zLL4OOJmaUeIlIenj0Uau2XdhiqYV1221W1+vGG+GXX+J3HJFEmznT6t8F3c0YqXdvK+Nyxx1p08qsxEtEUt/vv8PTT9t6b3/7W3yPVaoU/Oc/sO++tqTQtm3xPZ5IooRC9qMlmYoFV6hgC2h/843FlwaUeIlI6rv7bvvCeOihxBzvwAMt+Zo5E/r0ScwxReItFLKCwQceGHQku7vkEmjSxLodMzODjqbYlHiJSGqbPh3eeANuvhnq10/ccTt0sAKtAwemzS9xKcEWL4YffkiubsYcZcpYDb05c+DVV4OOpti0ZJCIpC7voV07+PlnmD/fZh4m0s6d0Lo1LFhgSwoddFBijy8SK889Z+MW586Fww4LOpq/8t4W0F60yJYBq1gx6IgKpCWDRCQ9ffyxVZTv1y/xSRdAuXJWYmLXLi0pJKktFLKK8cmYdIENJXj0USvn8txzQUdTLEq8RCQ17dpl46saN7a6WkE57DAYNMiq5T/8cHBxiBTV2rX2/k3GbsZIJ59sA/8ffRT+/DPoaIpMiZeIpKZXXrExH48/HuzSJmCzKXv2tGWKJk0KNhaRwho1ylprkz3xAls4e+PGlF43VWO8RCT1bNwIhx5qXSOffx7ful3R2rTJSlns2AEzZkC1akFHJBKd886DqVNhyRIrl5LsLr/cuvjnzk3shJpC0BgvEUkvjz0Gq1fHv1hqYVSubF8GK1ZoSSFJHdu2wdix0KVLaiRdYC3LAPffH2wcRZQiz7KISNiSJfDvf8NFF0HLPH9QBqdlS+sC+fBDePHFoKMR2bsJE2Dr1tToZsxRvz5cf73V0ps1K+hoCk2Jl4iklnvusdakZB3IfssttsDwzTen5JeClDChkM0IbtMm6EgKp29fa2VOwQW0lXiJSOr4/nt4/XW46SZo0CDoaPJWqhQMGwb77WdLCm3dGnREEmnzZhsXuGFD0JEELysLPvrIFpUvVy7oaAqnenW4804YOTLlJrQo8RKR1OC9LVBdrZr92k1mtWpZN8jPP1t1ewnO9u2WaN17L2RkwP77W9Hdq64KOrLgTZ5sC8unUjdjpBtugDp1Um4BbSVeIpIaRo+2L9B+/aw1KdmdeabVGRs82MZ8SWLs2gVTplhX9GmnQdWqlmg98oi18PTpY7Pi3nsPSvps+VDIWro6dAg6kqKpWNE+DyZPtpa7FKFyEiKS/DIz4eij7e/PPwdftytaO3faMifz5tmSQkk69T2lZWfbc/vZZ3aaONG6EwGaN4e2bS3xOvnk3IR940Y45BB7T02YkDwzYxPJeyvJ0rix/ahJVZmZ0KyZdfH/9JOt65gEVE5CRFLbkCEwe3ZyFEstjJwlhbKybBZmZmbQEaU+7+29MHCg1Z+qWdPqp912m62Zeckl8P77Vm7khx9sBmynTru3klapYl2Pn30G48cH91iCNGuWPV+p2s2Yo0wZa82cPdu691OAWrxEJLlt2pT7y/zLL1OzdeLNN62y/X335dYgkuh4DwsX5rZoff45rFxp2xo0sO7Edu2sZatOnej3u2MHHHGEjfmaNi11aljFykMPWfK5fDnUrh10NMXjPZx4Iixdaq3LFSoEHVGBLV7J0SYnIpKfxx+HVatsQexUTLrAWrvGj7cvu3bt4NRTg44ouS1bZglWTrK1eLFdf+CB9vzlnBo1Kvox9tnHXo+ePeHdd+HCC2MTe6oIhaBVq9RPusA+Fx57zEpiDBgAt98edEQFUouXiCSvpUvh8MOhWzdrNUplmzZBixZWKXzGDJsOL2bNGvjii9xEa84cu75atdwxWu3aWatnLJPv7Gzrpty0ybqqUq2kQlEtWWLjDR991GYEpouzz7aB9gsWWEtmgDTGS0RS07332pdjshZLLYycJYX++AOuvDKlpr/H3IYNVn/p5pvhmGNsnNb551uNtkMPhaeesvFZq1fbeK1rr7VuwVi3eJYqZcnHggXw0kux3XcyGzHC/qb6+K499e9v761HHw06kgKpxUtEktOMGdYa0aePdSOki6eftur2AwdaQlESbN0KX3+d26I1bZol1OXLW22tnBatFi0SP3nCexsnNmsW/PabJcjp7vTTrTt39uygI4m9Sy6B//7XxnrVqxdYGAW1eCnxEpHk4z2ccYYlX/PnWy2mdJGdbbPsPvsMvv3WShqkm5074ZtvchOtKVOsvlaZMnDCCbmJVqtWlnwF7dtvLa7777e6UOls3TprYezTx1qI0s2iRdYlffHF8MorgYWhxEtEUsuYMXDWWfDcc9C7d9DRxN6qVdbFljOjrmLFoCMqnpwSDyNHWqL11Vc2ls05a8XKSbQyMmDffYOONm/nnw9jx1qiX6tW0NHEzxtvWFIydaolm+nollvg2Wdh5kxo2jSQEJR4iUjqyMy0pGTXLuv+SdcBzxMmWHX7f/4TXnwx6GgKLzvbWrVCIRg+3Lp2wIpZ5iRap5wS+CDnqM2da1/SvXrZzLh01b27DUBfujR9S2isWWMFctu1s/dmADS4XkRSx6uvwi+/2LiudE26wMbZ3H67Der+73+DjiY6O3fCuHFwzToL9lcAACAASURBVDVQty60bm0FShs1gkGDbNzQzJnW2tClS+okXWCzZ//xD1vi6bffgo4mPrZvt1a9zp3TN+kCqFHD/rdCIUsyk4xavEQkeWzebLPaDjvMln5J1bpd0dq1y5YUmjPHlr1p0CDoiP5q0yb7sh4+HEaNsuV2KlWCjh2tzMdZZ6XPGLwVK+z916ULvPVW0NHE3qhRNr5wzJjUXZ8xWlu22Gt56KGBfJaoxUtEUsMTT1i5hSefTP+kC2wG39tv2xipHj2SZ0mhVatsYHKnTjYQ+//+zwrAdu9u47jWrLFWuh490ifpAismevPN9pp8/33Q0cReKGSzNtu2DTqS+KtUySZLTJpkCWcSUYuXiCSHZcuspatLF/viK0neftuSmHvugQcfDCaGhQutVSsUstIP2dnQsKG1anXtagPjS5cOJrZE2rDBxge1aGHdqukiK8uWVGrbFt55J+hoEmPXLjjySBuy8OOPCX3/qsVLRJLffffZl8MjjwQdSeJdeCFcfrkViv3ii8Qc03sr19Gvn01mOPhguPVWSzzuvdcKmC5YYGO4TjmlZCRdYItp3303fPKJTYBIF1OnWktmuhVNLUjZsvZ58vPPVpw3SajFS0SC99NP0Ly5ffE/8UTQ0QRj82Zo2dLGVP34ow0QjrWsLGvNymnZWrTIunRPOsm+kLt2tQSspNuxw2pB1ahhNb7SYSB6nz426WH1aksuSwrvrWzGypU2czVBdePU4iUiya1PH5sBd9ddQUcSnH33tS7HNWvgiitit6TQ9u22wPiVV9oi06eeajMQjzwSXn7ZvpAmTrTaR0q6zD77wL/+BdOn25JFqc57S7bbtStZSRfkLqC9ZImtFpEElHiJSLDGjbNunfvuS63yA/Fw7LHw+OM2gP3554u+n/XrbVbe+edbq80551gCccYZ8N57ltx9/LGVTzjggNjFn04uugiOOsp+DOzaFXQ0xfPLL1YioyR1M0Zq29ZmcT78sP1vBEyJl4gEJysLbrvNBjP36hV0NMnhhhvg7LPtefnxx+jvt3w5vPACtG9vMxEvushmdPXsaeUgVq/OTcZKwnqExVW6tC2p89tv1jKYykIh+9u5c7BxBKl/f1su6fHHg45EY7xEJEBDhliry/vvw3nnBR1N8li92ga877efLSlUqVLet5s717qQhg+3KvJgdYu6dbPTCSekx/ikoHgPbdpYnbX585N3uaO9Oe44ex/kvEdKqp494cMPbZWFunXjeiiN8RKR5LN5s82ea90azj036GiSS82atqbenDlw442513sP331ns+6aNrUB4HfeafW/HnrIlliaO9d+1Z94opKu4soZH/THH/D000FHUzRLl1ryXlK7GSM9+KAt1B5wNfsygR5dREqup56ySuEfflgyiqUWVrt20LevTYdv1MieqxEj7Iu0dGkr8dCrl9U9q18/6GjTV6tW1nr4+OO2VFLNmkFHVDgffWR/lXjZ/9HSpVClSqBhqKtRRBJv+XIrltqpE7z7btDRJK9duyzBmjrVpsG3b29JQKdOUL160NGVHL/+arNAe/eGZ54JOprCOfNMWLzYHoN+4CRMIF2NzrmDnHOfO+d+cc797Jy7MXx9P+fcMufcjPDprHjFICJJ6r77LKno3z/oSJJb2bI2w3H0aJuJGArBpZcq6Uq0I46wchyDBlmF/1Sxfj18/rm1dinpShrxHACQCdzqvW8KtAKuc841DW972nvfPHwaHccYRCTZ/PQTDB1qrQeqG7V3NWrYgtT5DbCXxLj/fuvivffeoCOJ3ujRNv5P3YxJJW6Jl/d+hff++/D5TcBsIL7TCEQk+d1+uy2sfPfdQUciEr26deGmm6wkx4wZQUcTnVAIatWy2a2SNBIy5cU51xA4FsiZy3q9c+4n59xQ51yeFROdc1c556Y556atXr06EWGKSLyNG2ene++FatWCjkakcO64w3409O0bdCR7t307jBljky80uzWpxP3VcM7tC3wA3OS93wi8ABwCNAdWAE/ldT/v/Uve+5be+5Y1U20WiYj8VVaWLQ108MFw7bVBRyNSeFWrWiX7sWNt7FQy++wzK9mibsakE9fEyzlXFku63vTefwjgvf/De5/lvc8GXgaOj2cMIpIkhg2DmTPh0UdtLTyRVHT99XDQQdb6lcxVAUaMsIKv7doFHYnsIZ6zGh0wBJjtvf93xPW1I27WDZgVrxhEJEls2QL33GM1kbp3DzoakaIrX94W0P7uO/jgg6CjyVt2tiVeHTvqR04SimeLVwZwMdBuj9IRjzvnZjrnfgLaAjfHMQYRSQY5xVKfekrT2iX1XXyx1fW6++7kXED7m2+s2r66GZNS3CrXe+8nAXl9wqp8hEhJsmKFVf3u3t2WBxJJdTkLaHfubKVRrr466Ih2FwrZ0jhnqUxmMtJUBxGJr/vvh507VSxV0kunTpCRAf36WVd6svDeFk1v29YmA0jSUeIlIvEzaxYMGQLXXQeHHhp0NCKxk7OA9sqV8OyzQUeT69dfYd48dTMmMSVeIhI/t99uC9Lec0/QkYjEXkaG1cl67DFb0ikZhEL2t3PnYOOQfCnxEpH4GD/eCjjec4/WFpT09cgjVi/rkUeCjsSEQnDccVCvXtCRSD6UeIlI7GVlwW23QcOGVvdIJF01bQqXXQYDB8LixcHGsnw5fPutuhmTXNxmNYpIjHgPs2fDlClQoYJ13e23n51yzlepYjOtksXrr9ti2O+8ozpCkv769bM1HO+7zwoFB+Wjj+xvly7BxSB75XwyV94Na9mypZ82bVrQYYgkTna21eIJhWyG0rx5e79PpUp/TcgKe758+eLX2dq6FQ47zKp7T5miul1SMtx+Ozz5pC2gffTRwcTQoQP89hvMnav/u4A556Z771vmtU0tXiLJYudOW/8tFLKq0ytWWC2etm3h5pvh9NMtIduwwU4bNxZ8fv16+P333OuimfJetmzRk7ac8889Z10e776rD38pOe68E15+2dZy/PjjxB9/wwZbn/HGG/V/l+SUeIkEadMmW3B3+HAYNcoSpEqVbKmPrl3h7LNjV4snM9P2v7eEbc/zixfvfl1W1t6Pde65cNJJsYlbJBVUqwZ9+9oajhMnwimnJPb4Y8ZYFX2N70p66moUSbRVq2DkSEu2JkyAHTugRg2b/t21q7VsVagQdJR58966EgtK2LZuhcsvhzp1go5WJLG2bcvtZp88ObEtT3//u7WYL1+eXOM9Syh1NYoEbeFCS7RCIfj6a+sybNAAevWCbt1sKZ0yKfDv6Jy1yFWqBLVr7/32IiVJhQrwwAPwj3/Y/3q3bok57o4dMHo0XHCBkq4UoBYvkXjw3mb1DR9up59+suuPPtpatbp1g2OO0VgMkXSTmQlHHWWfAbNmJeYH1dixNjzh449teIIETi1eIomQlWWtWaGQnRYutMQqIwOeesqmeB9ySNBRikg8lSlj65J26wavvWatX/EWClkr9Gmnxf9YUmxq8RIpju3bbZxWKGQ1dFavhnLlbJxWt25wzjlQq1bQUYpIInlvP7gWL7ZSMBUrxu9Y2dlQt65NZvnvf+N3HCkUtXiJxNL69TaeYvhwm0m0ZYuVUTj7bOtG7NgRKlcOOkoRCUrOAtqnnGLlVe68M37H+u47W6hbRVNThhIvkWgsX24tWsOH28yhXbvgwAOhZ09Lttq2VYV2Ecl18snQqRM8+ihcdZWVm4iHUMgG1GtsV8pQ4iWSn7lzc2ciTp1q1x16KNx0k3UjnnAClNJypyKSj/79bUJN//7wxBPxOUYoBG3awP77x2f/EnNKvERyeA/Tp+fORJw9265v0QIefNCSraZNNRNRRKLTrBlccgkMGAC9e0P9+rHd/6+/2um662K7X4krJV5SsmVlwRdf5M5EXLrUmu1POcVqbHXpEvsPSxEpOf71L1ssvl8/GDo0tvseMcL+anxXSlHiJSXbDTfAoEG2OHT79vDQQzYuo3r1oCMTkXRQvz5cfz08/TTccou1gsVKKGQt8gcdFLt9StxpgIqUXKtXw5AhNkB+zRr7ELv0UiVdIhJbffvCvvvaAtqxsmKFjT3V2owpR4mXlFwvv2xLbfTta8UHRUTioXp1KykxciRMmhSbfX70kf1V4pVylHhJybRrF7zwghU6bdo06GhEJN3deKOtb3rHHTaRp7hCITj4YDjyyOLvSxJKiZeUTDkD6Xv3DjoSESkJKla0AfaTJ+e2VhXVxo3w2WfW2qVZ1ilHiZeUTAMGQMOGKjooIolzxRVw+OE21iszs+j7GTsWdu5UN2OKUuIlJc+PP8JXX1ntm9Klg45GREqKMmXgkUfgl1/gP/8p+n5CIahRA1q3jl1skjBKvKTkGTAAKlSwX58iIol07rlw/PFw//2wbVvh779zJ4waBZ0764djilLiJSXL2rXw5ptWQiJea6eJiOTHOXj8cRtj+vzzhb//F1/YGC91M6YsJV5SsgwZAtu3a1C9iATn1FOhY0frdly3rnD3DYVsoP7pp8cnNok7JV5ScmRlWZX6U0+Fo44KOhoRKcn694cNG+Cxx6K/T3a2LRPUoYMNl5CUpMRLSo6RI2HxYlsmSEQkSMccY0Menn3Wuh2jMW0aLF+ubsYUp8RLSo4BA2xNs86dg45ERMQW0M7Otvpe0QiFbEC9yuCkNCVeUjLMmmUFB6+91qZ0i4gErWFD+0x69VWYPXvvtx8xAk45RRODUpwSLykZnn8e9tkH/vGPoCMREcl19922VuzeFtCeO9fqf6mbMeUp8ZL0t24dvP469OhhRQdFRJJFjRpw++3WjTh5cv63GzHC/nbpkpi4JG6UeEn6e/VV2LpVJSREJDndfDPUqgV33pn/AtqhEBx7LDRokNjYJOaUeEl6y8qCgQMhI8M+tEREkk2lSjbA/quvrCr9nlauhClT1M2YJpR4SXobMwYWLFBrl4gktyuvhMMOs1avrKzdt40caS1hSrzSghIvSW8DBkCdOrY+mohIsipbFh5+GH7+Gd54Y/dtoRA0aqTCz2lCiZekrzlz4JNPoFcv+1ATEUlm3btDy5Zw7722tBnApk0wYYK1djkXbHwSE0q8JH09/zyUKwdXXRV0JCIie+ecLSG0ZIktbwYwbhzs3KnZjGlEiZekp40b4bXX4IIL4IADgo5GRCQ67dpB+/bW7bh+vXUzVq9uE4QkLSjxkvT02muwebMG1YtI6unfH/7805Kvjz+Gc87RihtpRK+kpJ/sbOtmPOEEOO64oKMRESmcY4+1gs9PPmmXNZsxrajFS9LPJ5/AvHlq7RKR1PXggzYpqEIFOOOMoKORGFKLl6SfAQOsCvT55wcdiYhI0Rx8MDzxBGzZAhUrBh2NxJASL0kv8+db0dR777UZjSIiqerGG4OOQOJAXY2SXgYOhNKl4eqrg45ERETkL5R4SfrYvBmGDrUuxjp1go5GRETkL5R4Sfp4/XWr36VB9SIikqSUeEl68N4G1bdoAa1aBR2NiIhInjS4XtLDp5/C7NlWOFXrmYmISJKKW4uXc+4g59znzrlfnHM/O+duDF9fzTk33jk3L/x3/3jFICXIgAFQo4YtESQiIpKk4tnVmAnc6r1vCrQCrnPONQXuBD713h8GfBq+LFJ0CxfCyJG2GHb58kFHIyIikq+4JV7e+xXe++/D5zcBs4G6QBdgWPhmwwCthSDFM2gQlCoFvXoFHYmIiEiBEjK43jnXEDgW+Aao5b1fEd60EqiVz32ucs5Nc85NW716dSLClFS0dSsMGQLdukG9ekFHIyIiUqC4J17OuX2BD4CbvPcbI7d57z3g87qf9/4l731L733LmjVrxjtMSVVvvgnr1qmEhIiIpIS4Jl7OubJY0vWm9/7D8NV/OOdqh7fXBlbFMwZJYzklJI45Bk4+OehoRERE9iqesxodMASY7b3/d8Smj4BLw+cvBUbEKwZJcxMnwsyZ1tqlEhIiIpIC4lnHKwO4GJjpnJsRvu4u4FHgPefclcBi4P/iGIOkswEDoFo16NEj6EhERESiErfEy3s/CcivGeK0eB1XSojff4dQCG69FSpUCDoaERGRqGjJIElNL7xgY7yuvTboSERERKKmxEtSz7Zt8PLL0LkzNGgQdDQiIiJRU+Ilqeedd2DtWpWQEBGRlKPES1JLTgmJI4+Etm2DjkZERKRQ4jmrUST2Jk+GH36wMV4qISEiIilGLV6SWgYMgP32g4svDjoSERGRQlPiJalj+XL44AO48kqoVCnoaERERApNiZekjsGDISsLrrsu6EhERESKRImXpIYdO+DFF+Hss+Hgg4OORkREpEiUeKWarVuDjiAY770Hq1aphISIiKQ0JV7Jznv4+Wd4+GFo2dLGNj35ZNBRJd6AAdC4MZx+etCRiIiIFFnU5SSccxWA+t77OXGMRwCys+Gbb2wtwuHDYd48u/6EE6BNG+jTBw48EHr2DDTMhPnmG/juO0u+Sum3goiIpK6oEi/n3DnAk0A5oJFzrjnwL+9953gGV6Ls3Amff26J1ogRsHIllCljRUJvvtmWx6lb18Y6dewIl18OBxwAZ54ZdOTxN2AAVK4Ml14adCQiIiLFEm2LVz/geOALAO/9DOdcozjFVHJs2gRjx1qyNWoUbNxoXYkdO0LXrjaQvGrV3e+zzz52+1NOgfPOgy+/hL/9LZj4E2HlShvfdc01lnyJiIiksGgTr13e+w1u90rhPg7xpL9Vq2DkSEueJkywFqwaNaB7d0u2Tj8dKlQoeB/77QdjxsCJJ1qSNnkyHHJIYuJPtJdegl274Prrg45ERESk2KJNvH52zvUASjvnDgNuACbHL6w0s3ChJVqhEHz9tY3hatAAevWCbt2gdWvrViyMOnVg3DjIyIAOHWy/BxwQn/iDsnOn1e7q0AEOPzzoaERERIot2m/73sDdwA7gLWAc8FC8gkp53sNPP1myNXy4nQc4+mi45x5Lto45pvhrDR5xBHz8MZx2GnTqBJ99BvvuW/z4k8WHH8KKFfDKK0FHIiIiEhPO+4J7DJ1zpYEJ3vu2iQnpr1q2bOmnTZsW1OGjk5VlrU6hkJ0WLrTEKiPDEq0uXeLXHfjRR3aM9u1tYH7ZsvE5TqJlZFjX7Jw5ms0oIiIpwzk33XvfMq9te23x8t5nOeeynXP7ee83xD68FLZ9u43TCoUs+Vm9GsqVs3Fad91lMxET0f3XubN1yV11Ffzzn/Dqq8VvTQva9Ok2du3pp5V0iYhI2oi2q3EzMNM5Nx7YknOl9/6GuESVzNavh9GjrQtxzBjYsgWqVLEZiF272mD3IGbf/fOftoh0v35WduLhhxMfQywNGGAzPC+/POhIREREYibaxOvD8KlkWr7cWrSGD7daW7t25RYw7dbNam2VKxd0lHDffbBsGTzyCNSunbozAVevhnfegSuusBmcIiIiaSKqxMt7P8w5Vw7ImVo2x3u/K35hJYG5c3NnIk6datcdeijcdJMlWyeckHxdYM7BoEHwxx9www2WfJ13XtBRFd7LL1uZjVRNHEVERPIRbeX6NsAwYBHggIOcc5d67yfGL7QE897GFeUkW7/8Yte3aAEPPWTdiE2bJv/YqTJl4O23bZzZRRdBzZpWbDVVZGbCCy/YTM2mTYOORkREJKai7Wp8CjgzZ51G59zhwNtAi3gFllBvvQV33AFLl0Lp0nDqqVYpvUsXqF8/6OgKr2JFK9J60kk28H7SJGjWLOioohMK2eswcGDQkYiIiMRctIlX2cjFsb33c51zaVKzAKhWDVq2tJatTp2gevWgIyq+6tVtOaITT7QCpFOmwEEHBR3V3g0YAA0b2mQFERGRNBNt4jXNOfcK8Eb48kVAkhfWKoQOHeyUbho0sOTr5JPt8X31lSWZyeqnn2DiRHjiCWt5FBERSTPRjg7vBfyCLRV0Q/h8r3gFJTF09NHWfTd/vnWdbtsWdET5GzDA1qm84oqgIxEREYmLaBOvMsCz3vtzvffnAs8BapJIFW3bwuuvW2X9Hj2syn6yWbsW3nzTSnQkc6uciIhIMUSbeH0KVIi4XAGYEPtwJG7+7/+sCnwoBL172yzOZDJkiLXG9e4ddCQiIiJxE+0Yr/Le+805F7z3m51zFeMUk8TLjTdaMdjHH7fq9nffHXREJivL6o+deiocdVTQ0YiIiMRNtInXFufc37z33wM451oCSTxYSPLVv78lX/fcYwVWk2E81ciRsHgxPPVU0JGIiIjEVbSJ143Af51zy8OXawMXxCckiatSpaxbb9UqW1S7Vq3gSzcMGGClLrp0CTYOERGROIt2jFcj4FhsJuN4YA6QZIOEJGrlysH770Pz5nD++fDNN8HF8vPP8NlncO21VnVfREQkjUWbeN3rvd8IVAXaAoOAF+IWlcRf5cowapR1N559tq1NGYTnn4d99oF//COY44uIiCRQtIlXTv2Bs4GXvfejgHLxCUkSplYtGDfOuh/bt4eVKxN7/PXr4T//sRIXNWok9tgiIiIBiDbxWuacexEb1zXaObdPIe4ryezQQ63la9Uq6NgRNm5M3LFffRW2blUJCRERKTGiTZ7+DxgHtPferweqAX3iFpUk1nHHwQcfwKxZcO65sHNn/I+ZnW0LYWdkwLHHxv94IiIiSSCqxMt7v9V7/6H3fl748grv/SfxDU0SqkMHeOUV+PRTuOwyS4ziacwY+O03tXaJiEiJomlkkuvSS2HFCujbF+rUgSefjN+xnnvOjnHuufE7hoiISJJR4iW7u+MOWLbMipnWqQO33BL7Y8yZA598Av/6F5QtG/v9i4iIJCklXrI75+CZZ2yG4623WrmJCy+M7TGef95qiV11VWz3KyIikuSUeMlflS4Nr79uMx0vvRQOOABOOy02+964EV57DS64wMpZiIiIlCAqCSF5K18eRoyAxo2hWzeYMSM2+x02DDZv1qB6EREpkZR4Sf6qVrXZh1WrWo2vhQuLt7/sbOtmPOEEK2EhIiJSwijxkoLVqwdjx8KOHVbdfs2aou9r/HhbmkitXSIiUkIp8ZK9a9oUPvoIliyBTp1gy5ai7WfAABvXdf75sY1PREQkRSjxkuicdBK8/TZ8950NjM/MLNz958+H0aPh6qttRqOIiEgJpMRLote1qy3zM2qUJVDeR3/fgQNttuTVV8cvPhERkSSnchJSONdcA8uXw4MPQt26VgR1bzZvhqFDoXt3K8oqIiJSQinxksJ74IHc5KtOHUvGCvL661a/S4PqRUSkhFPiJYXnHAwebNXtr7sODjzQuiHz4r2VkGjRAk48MbFxioiIJJm4jfFyzg11zq1yzs2KuK6fc26Zc25G+HRWvI4vcVamDLz7rtXjuvBCmDQp79t99hn88ou1djmX2BhFRESSTDwH178GdMjj+qe9983Dp9FxPL7EW6VK8PHHUL8+nHOOJVh7GjAAatSwmZAiIiIlXNwSL+/9RODPeO1fkkSNGlZgtXx56NABli7N3bZoEYwcaYthly8fWIgiIiLJIohyEtc7534Kd0Xun9+NnHNXOeemOeemrV69OpHxSWE1amRLC61fb0sLrV9v1w8aZN2LvXoFG5+IiEiSSHTi9QJwCNAcWAE8ld8Nvfcvee9beu9b1qxZM1HxSVE1bw7Dh8OcOdClC6xbB6+8Ygts16sXdHQiIiJJIaGJl/f+D+99lvc+G3gZOD6Rx5c4O+00GDYMJk60WYzr1qmEhIiISISEJl7OudoRF7sBs/K7raSoCy+Ep56ChQvh6KPh5JODjkhERCRpxK2Ol3PubaANUMM5txS4H2jjnGsOeGARoPVj0tEtt9ig+6OOUgkJERGRCHFLvLz3F+Zx9ZB4HU+SzCWXBB2BiIhI0tEi2SIiIiIJosRLREREJEGUeImIiIgkiBIvERERkQRR4iUiIiKSIEq8RERERBJEiZeIiIhIgijxEhEREUkQJV4iIiIiCaLES0RERCRBlHiJiIiIJIgSLxEREZEEUeIlIiIikiBKvEREREQSRImXiIiISIIo8RIRERFJECVeIiIiIgmixEtEREQkQZR4iYiIiCSIEi8RERGRBFHiJSIiIpIgSrxEREREEkSJl4iIiEiCKPESERERSRAlXiIiIiIJosRLREREJEGUeImIiIgkiBIvERERkQRR4iUiIiKSIEq8RERERBJEiZeIiIhIgijxEhEREUkQJV4iIiIiCaLES0RERCRBlHiJiIiIJIgSLxEREZEEUeIlIiIikiBKvEREREQSRImXiIiISIIo8RIRERFJECVeIiIiIgmixEtEREQkQZR4iYiIiCSIEi8RERGRBFHiJSIiIpIgSrxEREREEkSJl4iIiEiCKPESERERSRAlXiIiIiIJosRLREREJEGUeImIiIgkiBIvERERkQSJW+LlnBvqnFvlnJsVcV0159x459y88N/943V8ERERkWQTzxav14AOe1x3J/Cp9/4w4NPwZREREZESIW6Jl/d+IvDnHld3AYaFzw8Dusbr+CIiIiLJJtFjvGp571eEz68EauV3Q+fcVc65ac65aatXr05MdCIiIiJxFNjgeu+9B3wB21/y3rf03resWbNmAiMTERERiY9EJ15/OOdqA4T/rkrw8UVEREQCk+jE6yPg0vD5S4ERCT6+iIiISGDiWU7ibWAK0Ng5t9Q5dyXwKHCGc24ecHr4soiIiEiJUCZeO/beX5jPptPidUwRERGRZKbK9SIiIiIJosRLREREJEGUeImIiIgkiBIvERERkQRR4iUiIiKSIEq8RERERBJEiZeIiIhIgijxEhEREUkQJV4iIiIiCaLES0RERCRBlHiJiIiIJIgSL5EkN28eXHMNNGwInTrBI4/Al1/C1q1BRyYiIoUVt0WyRaR4pkyBJ56AUAjKlYP27S0JGzXKtpcpA8ceCxkZ0Lq1/a1TJ9iYRUSkYEq8RJJIdjaMHGkJ19dfw/77w913w/XXtzKBBAAAIABJREFUQ61adpu1ay0pmzzZbjN4MDzzjG1r2DA3CWvdGo46CkqXDuzhiIjIHpz3PugY9qply5Z+2rRpQYchEjfbt8Mbb8CTT8KcOdCgAdxyC1xxBey7b8H33bkTZszITcS+/hpWrLBt++4LrVpZIpaRASecAFWqxP/xiIiUZM656d77lnluU+IlEpx16+CFF+C55+CPP+Bvf4M+faB7d+tKLArvYfFiS8BykrGZM601rVQpawWL7J5s0ACci+3jEhEpyZR4iSSZxYute/Dll2HLFhu/dfvt0LZtfJKgjRvhm29yk7GpU2HTJttWu/buiVjz5jamTEREiqagxEtjvEQSaMYMG7/17ruWYF14Idx2Gxx9dHyPW6UKnHGGnQCysqwVLKdFbPJkeP9921ahAhx3XG4y1ro1VKsW3/hEREoKtXiJxJn3MH68JVwTJti4q6uvhhtvhIMOCjq6XMuX7z5O7IcfIDPTtjVpsvug/cMPV/ekiEh+1NUoEoBdu+C99yzh+vFH69K78UZLuqpWDTq6vdu6Fb77bvdWsXXrbFv16rmJWEYGtGwJ5csHG6+ISLJQV6NIAm3aBK+8YmO4fv8dmjaFoUOhRw/YZ5+go4texYpw6ql2AhucP2fO7oP2R460bWXLQosWuclY27ZWCkNERHanFi+RGFmxAgYMsFmK69fDKafYgPmOHW02YTpavdpqiuUkY999Bzt22ONt1coe+1ln2YD9dH0ORET2pK5GkTj69Verv/X66zYm6txzrSTE8ccHHVni7dgB06bBuHEwZoydByv+2qGDJWFnnKHWMBFJb0q8RGLMe2vlefxx624rXx4uv9yKnh56aNDRJY8//shNwsaNszFipUrBiSdaa1jHjmoNE5H0o8RLJEaysmDECBswP3WqDTK//nq47jqoWTPo6JJbVhZ8+y2MHm2J2PTpdv2BB1prWMeOag0TkfSgxEukmLZtg2HD4N//toWqDz7YWrcuv9wGoUvh5bSGjR4Nn3xirWGlS/+1NUxlK0Qk1SjxEimitWth0CAbNL96tRUW7dPHxnFp8enYycy01rAxYywR+/57u7527d1bw1KhDIeIiBIvkUJauNBat4YOtXpWZ59tCdcpp6gFJhFWrtx9bNj69Zbotm6d2xp2zDF6LUQkOSnxEonS9Ok2fuu//7Uv+osusiV9jjwy6MhKrsxMW2dyzBg7RbaG5SRhZ5wB++0XbJwiIjmUeIkUwHsYO9YSrs8/t3UNr7kGbrgB6tYNOjrZ08qV9nqNGWNjw3JawzIychOxo49Wa5iIBEeJl0gedu6Et9+2GlyzZlmSddNNcNVVlnxJ8svMtNmlOa1hP/xg19epk5uEnX66WsNEJLGUeIlE2LgRXnrJlvRZtgyaNbPxW3//O5QrF3R0UhwrVuzeGrZhA5QpY2PDzjrLErGjjlJrmIjElxIvESzJevZZePFFS77atbOEq317fRGno8xMW84opzVsxgy7vm7d3Cr6zZpZ8dt99rFT+fKWfKugq4gUhxIvKdF+/tm6E99804p4nn++JVwtWgQdmSRSTmvY6NEwfry1huWnbNncRCwyKcvrfKxvt+d9lASKpB4lXlLieA9ffmkD5kePtiKnV14JN98MjRoFHZ0Ebdcumym5eLGtL7l9u/2N9nw0t8vKik2sZcvaGLVDDoHDDrMlqQ47LPe8Kv2nn02b4J134JVXYM0aKyqckWFd5s2aqYZgKlDiJSVGZiZ8+KG1cH33nS3j07s3XHutLe8jkiiZmdElatEkcX/+CfPn26oJS5bsfpzq1fNOyA47TAVnU83339tQiLfegs2bLck6/HCYPNlm8wJUrgytWlkilpEBJ5xg10lyKSjxKpPoYETiYetWePVVK3q6YIF96QweDJdcAhUqBB2dlERlytipUqXY7nfbNnuP5yRi8+bZ+S+/hDfe2P22NWrkJmF7JmZKypLD5s02u/qll2DaNPu8uuACm13dqpWNP/UeFi2Cr7+20+TJ8MADdn2pUlY+pXXr3GSsfn2NW01mavGSlLZ6NTz/PAwcaMv7tGoFt98OnTurOV5KnpykLCcZi0zM9mwpq1Ej/5Yyld+Ivx9+sNatN9/Mbd26+mro2TO6pHjDBiulMnmyJWNTp8KWLbatTp3crsmMDFvztGzZ+D6eZLd1q/0fzJ9vrYTxrtGorkZJO/PnW+vWq69ad0znzjZgPiNDv/RE8rJtG/z2W25CFpmYLV26+21r1sy/pUxJWdFt3mxjt1580Vq3ype31q2rr85t3SqqzEyYOTO3Rezrr+H3321bhQpw/PG5ydiJJ0K1arF5TMlk61Z7j0f+4Mg5v3x57u3efBN69IhvLEq8JG18840NmP/wQ/sFd/HFcOut0KRJ0JGJpK6cpCzyyyrnb15JWX4tZSo8nLcZM3JbtzZtsiXIclq34jk5YunS3CRs8mRrZcuZ9NGkSW7XZOvW9vqlwo/WyORqz1bdZct2v+0BB+T9Pm3cOPZDAPakxEtSWna2zUx84gmYONGa4Xv1skHztf+/vTOPjuo88/TzSkICCUtoxZhNLBIC4RWDbRpiQ+yM023HkMXLSdLt7kw8zpl0J854etonJz7dPe0/EqfT3fFJx/HJ4kwcJ3EWiGN3YuyAN4LBG2AJBAKzCGyjBbQgIaGS3vnju1UqqRZVSVWlKvE+59TR1b1f3e9Xd/t+9/22WROtzjAmNz09Q9WXI43ZSFM2cyasWePGyFu/3hVwmVCYJ4OzZ+EXv3CG6/XXXXTr9tud4bruuok5Lt3dTou/rdiOHW7KLXCGevXqoerJFSuc5onAb65GGqvGxlBz5X8RGPkysGjRxEZnzXgZGUlfn3tD/OY3Yf9+12D0vvvcsBDWi8cwJp6RBWR9Pbz44lAV16xZQyZs/XqorJxItalh927XUP6JJ1x0a9kyZ7Y++9n0G/pjcNA9W/1Rse3b3bkEN5DwihVDEbHVq52xThQjr51gkxXJXI2s/k7nqm8zXqOwc6cbUHEsAxwGL+fmXrhvd4mkvd29Jf7Hf7hBLy+/3LXfuv12ayBqGOmOqouQbdsGW7e6z6lTbtuCBUMmbN26yROx7u52bbceewx27XLlgT+6tXp1ZpULzc3OiPnN2BtvuHltwUWRgqsnly2LPsBvcBX2aNHSydau0IzXKHzrW66dUCKIZs7GY+r8y9OmucjPggXu/8lEU5ObP/Gxx1yY/qabnOG68cbMenAZhjGEqouq+E3Ytm1D1Vs1NUNG7IYbMm+svT17hqJbnZ2u3ZQ/ujVZGq/39rrxxYIb7be0uG1FRUODu1ZXuwGJo7UPjNSTdjIOb2LGaxRUhwY7TNSo1eNZjuWUZGU5AxbuIl64MLMme96717Xf+vnP3W+/4w64/3648sqJVmYYRqIZGHCGxW/EXn7ZRYxEXHTbb8TWrk3Pxvrd3a7t1mOPudoSf3TrnnsujF7Vqs5YBVdP7ts3tN3GjnOY8cog/CYwkjk7e9YNpBdcH97YOHzeuawsmD8/fG+OBQvSw5Spuofuww/Dc8+5Hiaf/zx8+ctOu2EYFwb9/a46y2/Etm93z7rsbFi5csiIrV49sYMh793rmkAER7fuuccN0jxZoltj5cwZVy5VVqZfO7aJwozXJEfVDR4argdIJFMW7m0kFabM54Nf/tIZrrffdo01v/QluPdeu2ENw3Avmjt2DBmxXbvccyM315kvf/uwVauS/7zq6RmKbr32motufepTznCtWTP5o1vG2DHjdQHjN2XhGjeGM2WVleEjZZWV43vInT0LP/yha0937JjrZn7//W4cm4nqsmwYRvrT1QWvvjpkxN5+2z3X8vNddaQ/InbllYmbreKdd5zZ+slP3DOypmao7VamtUNLFKpKe287zd3NYT9n+89SNq2MioKKsJ9pUy6sudvMeBlhUXUz30eKlHV2DqXNzo4eKYvU2/DUKXjkEfjP/3Th6DVrXIP5W26J3hvGMJJJV18XWw5vQUS4fv71lOZfoKVpBnL6tJuX0m/E/O2LiopcA32/EautjS8i1dMDTz3lDNeOHS669clPOsM1WaNbPf09NHc309LdEmqmekLNlW/QF3Y/pdNKyZ+ST2tPK+d858KmmZ47fbgZyw9v0CoKKijNLyUnK7OnkjbjZcSN35SFGx04nCkbGSmbP98NevrjH7uuyBs2OMN13XUT9pOMC5zm7maePvA0mxo28cK7L3B+wPWRF4TLL76c9ZXrWb9gPWvnr6UwLw1bdRth+eADN3aY34gdPuzWl5cPVUuuW6dcMr+HzvMddPZ10tnXiSDk5eRx7OBF/PonpWx6ajqdHVlUVw9yz/+Au/8qK+OiW75BH609rRGjUiM/3f3dYfdTMKUgoikKMUnTSpmSPfTm3X2+e1geLT1hTF3QZ0AHQvIXhNL80piNWmFeIZJmztiMl5FQVF134nAD3zU2uqoBcG+Md98NX/mK62psGKnm3TPvsrlhM5saNrH9+HYUpXJGJRtrNrKhZgPZks3WI1vZenQrf2r6E+cHzpMt2aycvTJgxFbPXX3BVZOkE75BH519nXT0dtDR1xF2ubOvk44+t+6DE3mc2LOY5vpL6Wq4moEOb7CwwiZYsNV95m6Hpj+DN+9xf7P7YNmvYMX3YP4rIJCTlUNedh5Tc6aSl5MX8/KYvpPj/R9m+fzA+ZiNVNu5trDHMFuyYzZS5fnlFOQmeT4dj0EdjFp9OfJzpvdM2P3kZueG/pYIRq28oJypOclv35J2xktEjgJdwADgiyTOjxmvzMFvyg4fdhGw8vKJVmRcSKgqe07tYdP+TWw+sJm9p/YCcPnMy9lQs4GNNRu5bOZlYd+Oz/WfY8eJHc6IHdnKrpO7GNABcrNzWT13dcCIrZy9ktzsNOganOaoKj39PaObpRHGaWTanv6eUfOakjWFoqlFFOUVUZhXGFi+KLcQbVtM277LOblnCUfens/Z9iETfcmCLtZ9opFVH20gt7CTXl8vfb4++gb6QpcH+ujzDV8Omy5oOVLVXCIonlocs5maMXUGWZL5bTvOD5yPOaJ3qvsUvb7esPt58uNPcteldyVVa7oar6tVtTWW9Ga8DMOIxMDgANubtgfM1tH2owjCmnlr2FizkdtqbmNh8cK499vV18Urx18JGLHdH+xGUQqmFLB2/lrWV65n3YJ1XHnxlWRnJahVdwYxqIMcOXOEuuY66prrqG+pp6G1gTO9ZwJmKlw10kim506nKK+IoqmeafIv5xaGNVP+5eC0edl5MVU1DQ66aY1efdUNB3H99cltuzWogyFmLV4Tl5OVw8zpM4cZqbL8MjP/o6CqdPd3hzVlH1/6cWrKapKavxkvwzAmFb2+Xp4//DybGzbz9MGnae1pJS87jxsX3sjGmo3cuuRWKgoqEppnW08bLx17KWDE9rfuB2DG1BlcP/961i9wEbHa8tq0a28yHlSV97reCxisuhb3d1/LvmHRqMoZlSwtW0pZftlwAxVm2W+eLsq96II0rcbkJx2N1xHgDKDA91T1sTBp7gHuAZg3b96KY8eOpVakYRhpRXtvO88efJbNBzbz+8bf093fTWFeIbdU38KGJRu4efHNXJSXutnT3+96nxePvhhoI/bumXcBqCioYF3luoARW1S8KGOMWFtP25DBCjJZ7b3tgTQXT7+Y5RXLWV6+3P2tWM6y8mUpPfaGke6ko/GaraonRaQCeB74W1V9OVJ6i3gZxoXJe13v8duG37KpYRPbjm7DN+hj1vRZ3LbkNjYu3cgNlTekTZXL0fajbDuyja1HXUTsva73AJhbODdgwtZVrmNu0dwJVuqqUfe17AsxWB+c/SCQZsbUGVxacWnAXNWW11JbUUtZftkEKjeMzCDtjNcwASL/CJxV1W9GSmPGyzAuHA60HmBTwyY2N2xm58mdAFSVVLGxZiMbl25k1exVad9QWFU52HYwEA3bdmRboMdZVUlVwIStW7Au4VWiwfT6emlobRgexWqu41jHUA1C/pR8astrAwbL/5k1fVbGROoMI91IK+MlIgVAlqp2ecvPA/+sqn+I9B0zXoYxeVFV3njvjYDZ8reduvqSqwPDPiwtW5rRJmBQB6lrrgu0D3vp2Et09rnB8JZXLA/0mLy+8npmTI1/JmHfoI9Dpw+FGKzG040M6iDgev7VlNWEGKzKGZVpb2QNI9NIN+O1ENjk/ZsDPKmqD0X7jhkvw5hc9A/089Kxl9jcsJnNDZs52XWSbMnmhsob2FCzgduW3JYWVXLJwjfo46333woYsVePv8o53zmyJIurZl0VMGJr5q0ZNqbSoA5yvON4iMHa37p/2ICwi0sWhxisqpKqYQNdGoaRPNLKeI2FZBuv7ce387uDvws8oGrKalIywJphXEh0n+/mucPPsblhM88cfIYzvWeYljONmxffzIaaDdxSfQsl00omWuaE0OfrY+fJnQEj9tqJ1+gf7GdK1hSumXMNi4oX0dDaQH1LPWfPnw18b17RvJCG7jVlNTbgq2FMMGa8RuE7u77Dfc/dR/9gPwBZkjX0xhj0QKsqrcr4+aMMI5W09rTyzMFn2NSwiS2Ht9Dr66VkWgm3Vt/KxpqN3LToJvKn5E+0zLSj+3w325u2BxrrN3U0sbR8aUhPwqKpRRMt1TCMMJjxioH+gX4aTzcOC9/Xt9Rz6PShQBuJ3OzcoTYSQQ/A+TPmWxsJI2moKp19nZw+dxol/e/XXl8vL7z7ApsaNvHysZcZ1EHmFs4NjBy/dv5ae4ExDGNSY8ZrHJzrPze8V5DX7fp4x/FAmoIpBdRW1A4zY8srlnPx9IszukGwkTx6fb0xz0/W0tMSaL+TSdSW1wYax1816yq7FwzDuGAw45UEOno7wo6D09zdHEhTMq0kbDftC7Udy2RmYHCAtnNtMZuprvNdYfczNWcqMwtmhp1vrWRaSUZEVrMki2tmX0NVadVESzEMw5gQzHilkObuZuqb66lvqR9WbdnR1xFIM2v6rBAztqx8GdNzp0+gciMYf/VecNQpmpFq7WkNWw2YJVmU55fHPJltwZQCiwwZhmFkOGa8JhhV5WTXyZAu4Pta9nHOdy6QbsGMBSGGbEnpEvJy8iZQ/eTk9LnT1Dc7c/zumXdp7gk1U5Gq94ryimI2UpkSpTIMwzAShxmvNGVgcIAj7UdCDNmBtgP4Bn0AZEs21aXVw6btqC6tZlHJIusNFgPd57vDVgn7p3MByMvOi9lIleeXmxE2DMMwomLGK8M4P3CexrbGELNw+PThYdVZcwrnsLhkMVUlVVSVVLnl0ioWFS+64Mbx6fP1caDtQCCK5T9m/omLwbWfWla+LKRX6pzCOVa9ZxiGYSQMM16ThJ7+Hva37KfxdCOHTh+i8XQjjW1uuaWnZVjaOYVzhsxYSRVVpW45003ZwOAAh88cDokSHmw7yIAOAC5KuKRsSYjBWli8kOys7An+BYZhGMZkx4zXBUB7bzuHTx8eMmNnDtHY1kjj6UZae1qHpZ1bODfEkFWVVLGweGHamDJVpamzKezUKL2+XsBNjbKweGGgCtZvsKpLq6060DAMw5gwzHhd4LT3trsIWdtQpMz/N9iUCeIiZaVVLC521Zb+qNmikkVJm0apubs5xGDVNdcNG3Jh9kWzQzoeLC1bOmweO8MwDMNIB8x4GREJNmXBhuzQ6UMhpmxu0VCkLDhitrB4YUymrKO3I2SYjbrmumHVpKXTSkMMVm15LcXTipPy+w3DMAwj0ZjxMsbEmXNnOHT60FB7Mr8xa2uk7VxbIJ3flAUbskUli+js6xxmsJo6mwLfmZ47PaQNVm1FLTMLZlpDd8MwDCOjMeNlJBy/KQvX0D/YlOVl57nJfUeYrHlF88xgGYZhGJOSaMbLZqo1xkTxtGJWzl7JytkrQ7b5TVlhXiGLShbZhMiGYRiG4WElopFw/KbMMAzDMIzh2FwmhmEYhmEYKcKMl2EYhmEYRoow42UYhmEYhpEizHgZhmEYhmGkCDNehmEYhmEYKcKMl2EYhmEYRoow42UYhmEYhpEizHgZhmEYhmGkCDNehmEYhmEYKcKMl2EYhmEYRoow42UYhmEYhpEizHgZhmEYhmGkCDNehmEYhmEYKcKMl2EYhmEYRoow42UYhmEYhpEiRFUnWsOoiEgLcCzJ2ZQBrUnOI1FkilbTmVgyRSdkjlbTmVgyRSdkjlbTmXhSoXW+qpaH25ARxisViMgbqnr1ROuIhUzRajoTS6bohMzRajoTS6bohMzRajoTz0RrtapGwzAMwzCMFGHGyzAMwzAMI0WY8RrisYkWEAeZotV0JpZM0QmZo9V0JpZM0QmZo9V0Jp4J1WptvAzDMAzDMFKERbwMwzAMwzBShBkvwzAMwzCMVKGqGfkB5gLbgH1APfAlb30J8DzQ6P0t9tYL8G3gELAXuCpoX18H6rzPHVHy/APQDjwzYv0CYKe3718AuePUWgPsAPqA+0fs62bggJfXP4xB6xe97ypQlkSdPwSagbpRzmPYdMDDQIN3rjYBMxKtM9J+4tT5fz2Nu4EtwCVJ0DkV2AXs8fbzT/Ge96Dt3wbOJuB+injuve3ZwNuRdIxyjT4OHPGO6W7giiRdo0eBd7w83oj33Hvb/ta7TuuBbyRJ5wzgV14++4Hr4rxGfxF0LI8Cu5NwjS4JymM30Al8OU6dVwCv+c8HsCqJz6f7vH3UAT8DpsZ5ja4H3vK+/2MgJ0k6v+TlUR/leEZ8jkXKc4w6P4171r0D/Am4PGhfo5ZL3vnd4eW1l6CylsSWS9F0jloujXI8I5ZL8Xzi/kK6fIBZeOYJuAg4CCwDvuE/8cA/AF/3lv8c+D3OgF0L7PTW/4V30nKAAuB1oDBCnh8GbiX0JnwKuNNbfhT4wji1VgArgYcY/nDLBg4DC4FcXEG8LE6tVwKVuAfwyAs8ITq9bR8Crop2gUdLB3wE72GGM8ZfT8LxDLufOHUWBi3/HfBoEnQKMN1bnoIz+dfGc969bVcDPyG88UrYufe2fwV4MpyOGK7Rx4FPJui+j3aNHmXEPRDnuV8HvADk+fNKks4fA//dW84lwsM+ks4Raf4VeDBZ591Lkw18gBtAMp7juQX4qLf858CLyTj3wGycsZ/m/f8UcHes1yiupqgJqPb+/2fgc0nQuRxnuvJx5dMLwOJY7wnv/7B5jlHnaobMzUcZKkNjKpeAaqDKW74EeB/vWiax5VJYnXHcI9GOZ8RyKZ5P3F9I1w/wW+AmnOueFXQAD3jL3wPuCkp/wNv+v4GvBa3/AXB7lHxuYPhNKLgRcP0n4zrgufFoDUr3jwy/EYftG3gAeCBWrSO2hVzgidIZtL4y2gUeazpgI/DTZOkcuZ9x6HwA+G4ydeIewm8B18Rz3nEPx21efiHGK5FagTnAH3FRgYjGK4rWx4lgvBKsc9R7INq5xxXYNyZTJ1CEMwkyVp1B2wRnGKqSfI1+BNg+huP5HF4UBLgLeDJJx3S2dxxKcIbmGeAjsV6jQDlwOOj/tcB/JUHnp4AfBP3/NeDvY73WvOWoeY5Fp7e+GDjpLcdVLgWl2zPyWiSB5dJInbHcI6MdzxHro5ZL0T6Too2XiFTiHPNOYKaqvu9t+gCY6S37bzY/J7x1e4CbRSRfRMpwb7Fz48i+FGhXVd+I/Y5HayQi/YaEM06dieZvcNHKEBKlc8R+4kJEHhKRJlyI+8Fk6BSRbBHZjQuTP6+q8er8IvB0UL7R8hqXVuDfgb8HBuPUGMxDIrJXRP5NRPKSpFOBLSLypojcMwaN1cBaEdkpIi+JyMok6FwAtAA/EpG3ReT7IlIwBq3gDMIpVW1Mgs5g7sRV38XLl4GHvXvpm7gCPCzj0aqqJ739H8dFXTpUdUscOluBHBHxj3z+SSKUGeM8pnW466tURPJxUcCoZVOY51hMeY5B5+cYeibHXS6JyCpcdOxwtHQJ1hk3o5QLEcul0ch44yUi04Ff4+q/O4O3qbOlGu373g33X7i64J/h6qAH0lFrqkgnnSLyVcAH/DTMtoTojLafWFDVr6rqXE/jF5OhU1UHVPUKXDRplYgsj1WfiFyCe3t+JIa049IqIrcAzar6Zqz6wvAArt3LSlxU4v8kWqfHGlW9Clcd8T9F5ENx6szx9F2Li5w/JSKSYJ05uKqR76rqlUA3rlplLNxFBEOUwHspF/gY8Msx6PsCcJ93L92Hq31IuFYRKQZuw5naS4ACEflMrCK9PO4E/k1EdgFdhCkzElA27cdVZ23BtTXbHS6fWPKLlme8OkVkHc7QhNyXsSAis3BNHv5aVWN+OZsAnRHzi1YuxUJGGy8RmYI7MD9V1d94q095J9Z/gpu99ScZ/rYwx1uHqj6kqleo6k24cPxBEblGRHZ7n49FkdEGzBCRnJH7HYfWSIT9DXFoHZUE6Yy077lBOu+NIf3dwC3Ap70bK+E6w+0nXp1B/BT4RDJ0+lHVdlyV4c1xnPcrgcXAIRE5CuSLyKGRiRKk9c+Aj3n5/BxYLyJPxHONqur76ugDfgSsSoJOf+QDVW3GNZRdFee5PwH8xtO6CxfhK0uwzhPAiaAI56+Aq8ZwL+UAH8c1tB+5LZHX6EeBt1T1lPfdeHT+FeDP/5eMOO8J1HojcERVW1S138tzdZzX6A5VXauqq4CXce2AEq0TVf2Bqq5Q1Q8BZ3BlU8gxjZDfqHnGq1NELgO+D9ymqm3e6pjLJREpBJ4Fvqqqr432+xOsM9K+4zmeUculWMlY4+W9Wf4A2K+q3wra9DTuBsb7+9ug9X8pjmtx4eX3xVXhlHr7vAy4DNiiqjs9M3aFqj4dSYd34Lfhws0j8xyr1ki8DlSJyAJxb5Z34qqPYtI6GgnUGRZVbQrS+egoWm7GVVd9TFV7kqEz0n7i1FkV9O9tuB4vidZZLiIzvOVpuPYNDXFco8+q6sWqWqmqlUCPqi4ekUfF/k9sAAAEbUlEQVRCtKrqA6o6x8vnTmCrqn4mnms06GEqwAZclUtCdYpIgYhc5F/GtUuqi+fcA5txTRMQkWpc1UlrInWq6gdAk4gs8VZ9GNgXp05wZqNBVU8Er0zCPT8sqhanzveA673l9bjeasnQehy4VlzzEsEd0/1xXqMV3t88XETl0aBtCTumQfnMwxnnJ0ce0yj5Rc0zXp2eht8An1XVYKMZU7nkbdsE/D9V/dVovz0JOsMSz/GMVi7FhY6hYVg6fIA1uNCivyv/blwdeCmuYW8jrhdIiZdegO/g6pTfAa721k/FdRvdh+vKfEWUPF/Btbc4h3sT/W/e+oW47v6HcG9qeePUerG3/05cV+YTeL3nvO8d9H7HV8eg9e+8/324B933k6TzZ7j2E/3e+s9F0Bk2nXcsm4J0PJponZH2E6fOX+OMwV7gd8DsJOi8DDc0w14vrwfjPe8j0oTr1Ziwcx+0zxuI3qsx0jW6FXeP1gFP4PXoTPAxXYhr3+kfoiPavRTp3Od6+upwHR7WJ+leugI3vMJenNkrjkent+1x4N5knndcr/A2oGiUZ3ek47kGeNM7JzuBFUnU+k+4l6Q6XLVXXgStka7Rh3FDexxgxDAPCdb5Cq5s2gN8OJ6y0NsWNs8x6vw+LurmT/tG0L5GLZeAz3jnPHjYkSuSUC5F0zlquTTK8YxYLsXzsSmDDMMwDMMwUkTGVjUahmEYhmFkGma8DMMwDMMwUoQZL8MwDMMwjBRhxsswDMMwDCNFmPEyDMMwDMNIEWa8DMMwDMMwUoQZL8MwDMMwjBRhxsswjIzEG33+WRHZIyJ1InKHiKwQN2H1myLyXNAo+J8Xkde9tL8WN+kwIvIp77t7RORlb91UEfmRiLwjbmJq/+j0d4vIb0TkDyLSKCLfmLhfbxhGpmIDqBqGkZGIyCeAm1X1897/RcDvcfOztYjIHbiRxv9GRErVm7NNRP4FOKWqj4jIO94+TorIDFVtF5H/BdR636vBTVJcjZsK5UHc3Jd9uFHL16hqU4p/umEYGUzO6EkMwzDSkneAfxWRrwPP4KYJWQ4876ZbIxs3PQjAcs9wzQCmA89567cDj4vIUwxN0LwGeARAVRtE5BjOeAH8UVU7AERkHzAfN4WIYRhGTJjxMgwjI1HVgyJyFW7etn/BzfFYr6rXhUn+OLBBVfeIyN24eSRR1XtF5BrgL4A3RWTFKNn2BS0PYM9QwzDixNp4GYaRkYjIJUCPqj6Bm7T4GqBcRK7ztk8RkVov+UXA+yIyBfh00D4WqepOVX0QNxnyXNzExJ/2tlcD83DVioZhGOPG3tYMw8hULgUeFpFBoB/4AuADvu2198oB/h2oB74G7MSZq504I4b3/SpAgD8Ce4AG4Lte+y8fcLeq9nnVl4ZhGOPCGtcbhmEYhmGkCKtqNAzDMAzDSBFmvAzDMAzDMFKEGS/DMAzDMIwUYcbLMAzDMAwjRZjxMgzDMAzDSBFmvAzDMAzDMFKEGS/DMAzDMIwU8f8BlyLeBqnE+SMAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 5. Pie Plot그려보기!\n",
        "\n",
        "2015-16 시즌 이상 시즌별 Curry의 득점률 비교하는 문제입니다!\n",
        "\n",
        "- 색깔은 `mediumorchid`,`khaki`,`palegreen`,`deeppink`,`orange`,`teal`,`royalblue`을 조합해서 이용해주세요!\n",
        "- 제일 득점률이 높은 시즌의 슬라이스를 분리해주세요!\n",
        "- 참조 : [ref](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.pie.html)\n",
        "\n"
      ],
      "metadata": {
        "id": "XpdQuwvk7MB0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "seasonCount = Curry_data.groupby('season').mean()['pts'][6:]\n",
        "\n",
        "# typeCount\n",
        "fig, ax = plt.subplots(figsize=(7,7))\n",
        "\n",
        "ax.pie(seasonCount,\n",
        "       labels = seasonCount.index,\n",
        "       colors = ['deeppink','mediumorchid', 'palegreen', 'royalblue', 'orange', 'teal', 'khaki'],\n",
        "       autopct = '%1.1f%%',\n",
        "       shadow = True,\n",
        "       explode = (0.05,0.05,0.05,0.05,0.05,0.20,0.05),\n",
        "       pctdistance = 0.85\n",
        "    )\n",
        "ax.legend()\n",
        "\n",
        "#draw white circle in the middle\n",
        "plt.pie([1],\n",
        "    colors = 'white',\n",
        "    radius = 0.65\n",
        ")\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "OW3P4LBwkkuQ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 421
        },
        "outputId": "27c1e5f2-8bb1-4c3f-a1ff-825f8643e6f2"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 504x504 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 로또 데이터\n",
        "아래 데이터는 로또 데이터입니다! 2022-12-07부터 2021-04-24 날짜의 로또번호를 담고있습니다! "
      ],
      "metadata": {
        "id": "y7NrVLUxiz3r"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_lotto = pd.read_csv('https://raw.githubusercontent.com/wonseok-hong/DAP_TA/main/DATA_Korean_Lotto_20021207-20210424.csv')\n",
        "df_lotto"
      ],
      "metadata": {
        "id": "fnozlNSS4Nu2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "8c8bced0-7ff6-4060-de9e-011c942cd3f4"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     lottery        date  num1  num2  num3  num4  num5  num6  bonus\n",
              "0          1  2002-12-07    10    23    29    33    37    40     16\n",
              "1          2  2002-12-14     9    13    21    25    32    42      2\n",
              "2          3  2002-12-21    11    16    19    21    27    31     30\n",
              "3          4  2002-12-28    14    27    30    31    40    42      2\n",
              "4          5  2003-01-04    16    24    29    40    41    42      3\n",
              "..       ...         ...   ...   ...   ...   ...   ...   ...    ...\n",
              "955      956  2021-03-27    10    11    20    21    25    41     40\n",
              "956      957  2021-04-03     4    15    24    35    36    40      1\n",
              "957      958  2021-04-10     2     9    10    16    35    37      1\n",
              "958      959  2021-04-17     1    14    15    24    40    41     35\n",
              "959      960  2021-04-24     2    18    24    30    32    45     14\n",
              "\n",
              "[960 rows x 9 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-38fd837d-1644-4963-839a-a5e0515d8e7d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>lottery</th>\n",
              "      <th>date</th>\n",
              "      <th>num1</th>\n",
              "      <th>num2</th>\n",
              "      <th>num3</th>\n",
              "      <th>num4</th>\n",
              "      <th>num5</th>\n",
              "      <th>num6</th>\n",
              "      <th>bonus</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>2002-12-07</td>\n",
              "      <td>10</td>\n",
              "      <td>23</td>\n",
              "      <td>29</td>\n",
              "      <td>33</td>\n",
              "      <td>37</td>\n",
              "      <td>40</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>2002-12-14</td>\n",
              "      <td>9</td>\n",
              "      <td>13</td>\n",
              "      <td>21</td>\n",
              "      <td>25</td>\n",
              "      <td>32</td>\n",
              "      <td>42</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>2002-12-21</td>\n",
              "      <td>11</td>\n",
              "      <td>16</td>\n",
              "      <td>19</td>\n",
              "      <td>21</td>\n",
              "      <td>27</td>\n",
              "      <td>31</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>2002-12-28</td>\n",
              "      <td>14</td>\n",
              "      <td>27</td>\n",
              "      <td>30</td>\n",
              "      <td>31</td>\n",
              "      <td>40</td>\n",
              "      <td>42</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>2003-01-04</td>\n",
              "      <td>16</td>\n",
              "      <td>24</td>\n",
              "      <td>29</td>\n",
              "      <td>40</td>\n",
              "      <td>41</td>\n",
              "      <td>42</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>955</th>\n",
              "      <td>956</td>\n",
              "      <td>2021-03-27</td>\n",
              "      <td>10</td>\n",
              "      <td>11</td>\n",
              "      <td>20</td>\n",
              "      <td>21</td>\n",
              "      <td>25</td>\n",
              "      <td>41</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>956</th>\n",
              "      <td>957</td>\n",
              "      <td>2021-04-03</td>\n",
              "      <td>4</td>\n",
              "      <td>15</td>\n",
              "      <td>24</td>\n",
              "      <td>35</td>\n",
              "      <td>36</td>\n",
              "      <td>40</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>957</th>\n",
              "      <td>958</td>\n",
              "      <td>2021-04-10</td>\n",
              "      <td>2</td>\n",
              "      <td>9</td>\n",
              "      <td>10</td>\n",
              "      <td>16</td>\n",
              "      <td>35</td>\n",
              "      <td>37</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>958</th>\n",
              "      <td>959</td>\n",
              "      <td>2021-04-17</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>15</td>\n",
              "      <td>24</td>\n",
              "      <td>40</td>\n",
              "      <td>41</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>959</th>\n",
              "      <td>960</td>\n",
              "      <td>2021-04-24</td>\n",
              "      <td>2</td>\n",
              "      <td>18</td>\n",
              "      <td>24</td>\n",
              "      <td>30</td>\n",
              "      <td>32</td>\n",
              "      <td>45</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>960 rows × 9 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-38fd837d-1644-4963-839a-a5e0515d8e7d')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-38fd837d-1644-4963-839a-a5e0515d8e7d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-38fd837d-1644-4963-839a-a5e0515d8e7d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 6. 여러 subplot에 barplot을 이용하여 그리기\n",
        "각각의 num에 어떤 숫자가 제일 많이 나왔는지 보기\n",
        "- boxplot을 이용하여 여러 subplot들을 만들어 한번에 그려주세요!\n",
        "- plot의 모든 x좌표 간격을 1칸씩으로 만들어주세요!\n",
        "- 각각의 plot마다 title을 달아주세요!"
      ],
      "metadata": {
        "id": "I9sGprwVok5U"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(2,3)\n",
        "fig.set_size_inches((35,10))\n",
        "plt.subplots_adjust(wspace=0.2,hspace=0.2)\n",
        "\n",
        "\n",
        "########### Make Code #####################\n",
        "zeroArray = np.zeros(46).astype(int)\n",
        "zeroSeries = pd.Series(zeroArray)\n",
        "\n",
        "for i in range (1, 7) :\n",
        "  lottoCount = zeroSeries.combine(df_lotto['num' + str(i)].value_counts(), max, fill_value=0)\n",
        "  plt.subplot(2,3,i)\n",
        "  plt.bar(lottoCount.index, lottoCount.values)\n",
        "  plt.xticks(lottoCount.index)\n",
        "  plt.margins(x = 0.015)\n",
        "  if (i == 1) :\n",
        "    plt.title(\"1st number\")\n",
        "  elif (i == 2) :\n",
        "    plt.title(\"2nd number\")\n",
        "  elif (i == 3) :\n",
        "    plt.title(\"3rd number\")\n",
        "  else :\n",
        "    plt.title(str(i) + \"th number\")\n",
        "  \n",
        "###########################################\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "4MP0w_808Re9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275
        },
        "outputId": "caf54f12-9cdf-4602-8563-1913d2fb3471"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2520x720 with 6 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### [optional] 로또 번호의 보너스 숫자는 원하는 plot들을 이용하여 자유롭게 만들어 보세요!"
      ],
      "metadata": {
        "id": "bD7H3M-BKGRw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "###########힘내세용##########"
      ],
      "metadata": {
        "id": "IP31mWnqJX60"
      },
      "execution_count": 21,
      "outputs": []
    }
  ]
}