{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# **Assignment #1: EDA & Dataset**\n",
        "\n",
        "**DATE: March2026**\n",
        "\n"
      ],
      "metadata": {
        "id": "w84cR3AZIU0e"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Part 1: Select a Dataset**\n",
        "\n",
        "**Stellar Classification**"
      ],
      "metadata": {
        "id": "a_vsO0Q1IOMT"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        " I chose the Stellar Classification dataset from the Sloan Digital Sky Survey (SDSS17), which I found on Kaggle. It has 100,000 rows and 18 columns — mostly numeric stuff like light filters (u, g, r, i, z), sky coordinates, redshift, and some ID columns from the telescope. The question I want to explore is: **can we tell whether something in space is a Star, a Galaxy, or a Quasar just from the numbers the telescope recorded?**"
      ],
      "metadata": {
        "id": "GFaHgQJyKwa5"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        " The target is the **class** column — it tells us if the object is a Star, Galaxy, or Quasar (so 3 categories).\n",
        "\n"
      ],
      "metadata": {
        "id": "GQ7ITr2dfg64"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "<br><br><br>\n",
        "\n",
        "---\n",
        "\n",
        "<br><br><br>"
      ],
      "metadata": {
        "id": "4t2QNyE6IPKS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Part 2: Exploratory Data Analysis (EDA)**\n",
        "\n"
      ],
      "metadata": {
        "id": "6eLmNWJJIPS0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![image.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "e3JpM_9Wl84T"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# imports\n",
        "import os\n",
        "import json\n",
        "import time\n",
        "import random\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "SEED = 42\n",
        "random.seed(SEED)\n",
        "np.random.seed(SEED)\n"
      ],
      "metadata": {
        "id": "fUEbi2wOhssS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# load the dataset\n",
        "df = pd.read_csv('star_classification.csv')\n",
        "print(f\"Shape: {df.shape}\")\n",
        "df.head()\n"
      ],
      "metadata": {
        "id": "Lem38-IBh7Bh",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        },
        "outputId": "105d1654-fbd8-4de2-97d1-04dcd38afb7c"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape: (100000, 18)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         obj_ID       alpha      delta         u         g         r  \\\n",
              "0  1.237661e+18  135.689107  32.494632  23.87882  22.27530  20.39501   \n",
              "1  1.237665e+18  144.826101  31.274185  24.77759  22.83188  22.58444   \n",
              "2  1.237661e+18  142.188790  35.582444  25.26307  22.66389  20.60976   \n",
              "3  1.237663e+18  338.741038  -0.402828  22.13682  23.77656  21.61162   \n",
              "4  1.237680e+18  345.282593  21.183866  19.43718  17.58028  16.49747   \n",
              "\n",
              "          i         z  run_ID  rerun_ID  cam_col  field_ID   spec_obj_ID  \\\n",
              "0  19.16573  18.79371    3606       301        2        79  6.543777e+18   \n",
              "1  21.16812  21.61427    4518       301        5       119  1.176014e+19   \n",
              "2  19.34857  18.94827    3606       301        2       120  5.152200e+18   \n",
              "3  20.50454  19.25010    4192       301        3       214  1.030107e+19   \n",
              "4  15.97711  15.54461    8102       301        3       137  6.891865e+18   \n",
              "\n",
              "    class  redshift  plate    MJD  fiber_ID  \n",
              "0  GALAXY  0.634794   5812  56354       171  \n",
              "1  GALAXY  0.779136  10445  58158       427  \n",
              "2  GALAXY  0.644195   4576  55592       299  \n",
              "3  GALAXY  0.932346   9149  58039       775  \n",
              "4  GALAXY  0.116123   6121  56187       842  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d1ba0115-82c4-4fa9-a958-aa7f414c6989\" 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>obj_ID</th>\n",
              "      <th>alpha</th>\n",
              "      <th>delta</th>\n",
              "      <th>u</th>\n",
              "      <th>g</th>\n",
              "      <th>r</th>\n",
              "      <th>i</th>\n",
              "      <th>z</th>\n",
              "      <th>run_ID</th>\n",
              "      <th>rerun_ID</th>\n",
              "      <th>cam_col</th>\n",
              "      <th>field_ID</th>\n",
              "      <th>spec_obj_ID</th>\n",
              "      <th>class</th>\n",
              "      <th>redshift</th>\n",
              "      <th>plate</th>\n",
              "      <th>MJD</th>\n",
              "      <th>fiber_ID</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.237661e+18</td>\n",
              "      <td>135.689107</td>\n",
              "      <td>32.494632</td>\n",
              "      <td>23.87882</td>\n",
              "      <td>22.27530</td>\n",
              "      <td>20.39501</td>\n",
              "      <td>19.16573</td>\n",
              "      <td>18.79371</td>\n",
              "      <td>3606</td>\n",
              "      <td>301</td>\n",
              "      <td>2</td>\n",
              "      <td>79</td>\n",
              "      <td>6.543777e+18</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.634794</td>\n",
              "      <td>5812</td>\n",
              "      <td>56354</td>\n",
              "      <td>171</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1.237665e+18</td>\n",
              "      <td>144.826101</td>\n",
              "      <td>31.274185</td>\n",
              "      <td>24.77759</td>\n",
              "      <td>22.83188</td>\n",
              "      <td>22.58444</td>\n",
              "      <td>21.16812</td>\n",
              "      <td>21.61427</td>\n",
              "      <td>4518</td>\n",
              "      <td>301</td>\n",
              "      <td>5</td>\n",
              "      <td>119</td>\n",
              "      <td>1.176014e+19</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.779136</td>\n",
              "      <td>10445</td>\n",
              "      <td>58158</td>\n",
              "      <td>427</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.237661e+18</td>\n",
              "      <td>142.188790</td>\n",
              "      <td>35.582444</td>\n",
              "      <td>25.26307</td>\n",
              "      <td>22.66389</td>\n",
              "      <td>20.60976</td>\n",
              "      <td>19.34857</td>\n",
              "      <td>18.94827</td>\n",
              "      <td>3606</td>\n",
              "      <td>301</td>\n",
              "      <td>2</td>\n",
              "      <td>120</td>\n",
              "      <td>5.152200e+18</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.644195</td>\n",
              "      <td>4576</td>\n",
              "      <td>55592</td>\n",
              "      <td>299</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.237663e+18</td>\n",
              "      <td>338.741038</td>\n",
              "      <td>-0.402828</td>\n",
              "      <td>22.13682</td>\n",
              "      <td>23.77656</td>\n",
              "      <td>21.61162</td>\n",
              "      <td>20.50454</td>\n",
              "      <td>19.25010</td>\n",
              "      <td>4192</td>\n",
              "      <td>301</td>\n",
              "      <td>3</td>\n",
              "      <td>214</td>\n",
              "      <td>1.030107e+19</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.932346</td>\n",
              "      <td>9149</td>\n",
              "      <td>58039</td>\n",
              "      <td>775</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.237680e+18</td>\n",
              "      <td>345.282593</td>\n",
              "      <td>21.183866</td>\n",
              "      <td>19.43718</td>\n",
              "      <td>17.58028</td>\n",
              "      <td>16.49747</td>\n",
              "      <td>15.97711</td>\n",
              "      <td>15.54461</td>\n",
              "      <td>8102</td>\n",
              "      <td>301</td>\n",
              "      <td>3</td>\n",
              "      <td>137</td>\n",
              "      <td>6.891865e+18</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.116123</td>\n",
              "      <td>6121</td>\n",
              "      <td>56187</td>\n",
              "      <td>842</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d1ba0115-82c4-4fa9-a958-aa7f414c6989')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-d1ba0115-82c4-4fa9-a958-aa7f414c6989 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-d1ba0115-82c4-4fa9-a958-aa7f414c6989');\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",
              "\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 100000,\n  \"fields\": [\n    {\n      \"column\": \"obj_ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8438559894562.677,\n        \"min\": 1.23764594290439e+18,\n        \"max\": 1.2376805313563863e+18,\n        \"num_unique_values\": 78053,\n        \"samples\": [\n          1.2376623373364104e+18,\n          1.2376517368478438e+18,\n          1.2376584933481513e+18\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alpha\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 96.50224089833225,\n        \"min\": 0.0055278279239701,\n        \"max\": 359.999809770956,\n        \"num_unique_values\": 99999,\n        \"samples\": [\n          118.663236264366,\n          358.991829744244,\n          30.887222067625\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"delta\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 19.644665404293633,\n        \"min\": -18.7853280771825,\n        \"max\": 83.00051858898,\n        \"num_unique_values\": 99999,\n        \"samples\": [\n          39.6424291996807,\n          32.7490859208678,\n          1.18870964120799\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"u\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31.769290803750323,\n        \"min\": -9999.0,\n        \"max\": 32.78139,\n        \"num_unique_values\": 93748,\n        \"samples\": [\n          25.78018,\n          20.35472,\n          18.63082\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"g\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31.750292329083205,\n        \"min\": -9999.0,\n        \"max\": 31.60224,\n        \"num_unique_values\": 92651,\n        \"samples\": [\n          20.88286,\n          23.75559,\n          17.81253\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"r\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.8547596943455276,\n        \"min\": 9.82207,\n        \"max\": 29.57186,\n        \"num_unique_values\": 91901,\n        \"samples\": [\n          17.36957,\n          21.53207,\n          16.49815\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"i\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7578947904903852,\n        \"min\": 9.469903,\n        \"max\": 32.14147,\n        \"num_unique_values\": 92019,\n        \"samples\": [\n          20.34415,\n          17.00401,\n          19.63559\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"z\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31.728151785953937,\n        \"min\": -9999.0,\n        \"max\": 29.38374,\n        \"num_unique_values\": 92007,\n        \"samples\": [\n          17.31985,\n          22.73434,\n          19.62752\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"run_ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1964,\n        \"min\": 109,\n        \"max\": 8162,\n        \"num_unique_values\": 430,\n        \"samples\": [\n          6174,\n          7917,\n          4679\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rerun_ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 301,\n        \"max\": 301,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          301\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cam_col\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 1,\n        \"max\": 6,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"field_ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 149,\n        \"min\": 11,\n        \"max\": 989,\n        \"num_unique_values\": 856,\n        \"samples\": [\n          706\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spec_obj_ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.324016169583855e+18,\n        \"min\": 2.9951908938097664e+17,\n        \"max\": 1.4126940609093851e+19,\n        \"num_unique_values\": 100000,\n        \"samples\": [\n          4.855016555329904e+18\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"class\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"GALAXY\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"redshift\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7307072761888128,\n        \"min\": -0.009970667,\n        \"max\": 7.011245,\n        \"num_unique_values\": 99295,\n        \"samples\": [\n          3.202965\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"plate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2952,\n        \"min\": 266,\n        \"max\": 12547,\n        \"num_unique_values\": 6284,\n        \"samples\": [\n          2264\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"MJD\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1808,\n        \"min\": 51608,\n        \"max\": 58932,\n        \"num_unique_values\": 2180,\n        \"samples\": [\n          55332\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fiber_ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 272,\n        \"min\": 1,\n        \"max\": 1000,\n        \"num_unique_values\": 1000,\n        \"samples\": [\n          252\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Understanding the Columns\n",
        "\n",
        "Before we start cleaning, let's understand what each column means:\n",
        "\n",
        "| Column | Description |\n",
        "|--------|-------------|\n",
        "| `obj_ID` | Unique identifier for the object in the image catalog |\n",
        "| `alpha` | Right Ascension — the \"longitude\" of the object in the sky |\n",
        "| `delta` | Declination — the \"latitude\" of the object in the sky |\n",
        "| `u` | Ultraviolet light filter measurement |\n",
        "| `g` | Green light filter measurement |\n",
        "| `r` | Red light filter measurement |\n",
        "| `i` | Near-infrared light filter measurement |\n",
        "| `z` | Infrared light filter measurement |\n",
        "| `run_ID` | ID number of the specific telescope scan |\n",
        "| `rerun_ID` | ID for how the image was processed (same value for all rows — 301) |\n",
        "| `cam_col` | Camera column that captured the object (1–6) |\n",
        "| `field_ID` | Field number that identifies each observed area |\n",
        "| `spec_obj_ID` | Unique ID for the spectroscopic observation |\n",
        "| `class` | **Target variable** — GALAXY, STAR, or QSO (Quasar) |\n",
        "| `redshift` | How much the light shifted to red — indicates distance and speed |\n",
        "| `plate` | ID of the plate used to capture the spectrum |\n",
        "| `MJD` | Modified Julian Date — when the observation was recorded |\n",
        "| `fiber_ID` | ID of the fiber-optic cable that pointed at the object |\n",
        "\n"
      ],
      "metadata": {
        "id": "w69eaRq6hr9K"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Dropping Unnecessary Columns\n",
        "\n",
        "I'm going to remove columns that are just technical IDs and don't actually describe the object itself:\n",
        "\n",
        "- **`obj_ID`** — just a catalog number, doesn't tell us anything about the object\n",
        "- **`spec_obj_ID`** — another ID, no physical meaning\n",
        "- **`rerun_ID`** — has the exact same value (301) for all 100,000 rows, so it's useless\n",
        "- **`run_ID`** — identifies which telescope scan, not a property of the object\n",
        "- **`cam_col`** — which camera column was used, technical detail\n",
        "- **`field_ID`** — which area of the sky was observed, not a feature of the object itself\n",
        "- **`plate`** — ID of the equipment used\n",
        "- **`MJD`** — the date the observation happened, not relevant to what the object is\n",
        "- **`fiber_ID`** — which cable was used, technical detail\n",
        "\n",
        "These are all about *how* and *when* the data was collected, not *what* the object actually is. The real features that describe celestial objects are the light filters (u, g, r, i, z), coordinates (alpha, delta), and redshift.\n"
      ],
      "metadata": {
        "id": "pEOx2dyvmPXt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# drop ID and technical columns\n",
        "cols_to_drop = ['obj_ID', 'spec_obj_ID', 'rerun_ID', 'run_ID',\n",
        "                'cam_col', 'field_ID', 'plate', 'MJD', 'fiber_ID']\n",
        "\n",
        "df = df.drop(columns=cols_to_drop)\n",
        "print(f\"New shape: {df.shape}\")\n",
        "df.head()\n"
      ],
      "metadata": {
        "id": "5diQ4kRlmc6z",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        },
        "outputId": "44ed80dd-dd7d-4fb1-ae3c-35330ac327e8"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "New shape: (100000, 9)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        alpha      delta         u         g         r         i         z  \\\n",
              "0  135.689107  32.494632  23.87882  22.27530  20.39501  19.16573  18.79371   \n",
              "1  144.826101  31.274185  24.77759  22.83188  22.58444  21.16812  21.61427   \n",
              "2  142.188790  35.582444  25.26307  22.66389  20.60976  19.34857  18.94827   \n",
              "3  338.741038  -0.402828  22.13682  23.77656  21.61162  20.50454  19.25010   \n",
              "4  345.282593  21.183866  19.43718  17.58028  16.49747  15.97711  15.54461   \n",
              "\n",
              "    class  redshift  \n",
              "0  GALAXY  0.634794  \n",
              "1  GALAXY  0.779136  \n",
              "2  GALAXY  0.644195  \n",
              "3  GALAXY  0.932346  \n",
              "4  GALAXY  0.116123  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e514a0fd-fe0d-48ae-a832-67fc4589ca54\" 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>alpha</th>\n",
              "      <th>delta</th>\n",
              "      <th>u</th>\n",
              "      <th>g</th>\n",
              "      <th>r</th>\n",
              "      <th>i</th>\n",
              "      <th>z</th>\n",
              "      <th>class</th>\n",
              "      <th>redshift</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>135.689107</td>\n",
              "      <td>32.494632</td>\n",
              "      <td>23.87882</td>\n",
              "      <td>22.27530</td>\n",
              "      <td>20.39501</td>\n",
              "      <td>19.16573</td>\n",
              "      <td>18.79371</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.634794</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>144.826101</td>\n",
              "      <td>31.274185</td>\n",
              "      <td>24.77759</td>\n",
              "      <td>22.83188</td>\n",
              "      <td>22.58444</td>\n",
              "      <td>21.16812</td>\n",
              "      <td>21.61427</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.779136</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>142.188790</td>\n",
              "      <td>35.582444</td>\n",
              "      <td>25.26307</td>\n",
              "      <td>22.66389</td>\n",
              "      <td>20.60976</td>\n",
              "      <td>19.34857</td>\n",
              "      <td>18.94827</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.644195</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>338.741038</td>\n",
              "      <td>-0.402828</td>\n",
              "      <td>22.13682</td>\n",
              "      <td>23.77656</td>\n",
              "      <td>21.61162</td>\n",
              "      <td>20.50454</td>\n",
              "      <td>19.25010</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.932346</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>345.282593</td>\n",
              "      <td>21.183866</td>\n",
              "      <td>19.43718</td>\n",
              "      <td>17.58028</td>\n",
              "      <td>16.49747</td>\n",
              "      <td>15.97711</td>\n",
              "      <td>15.54461</td>\n",
              "      <td>GALAXY</td>\n",
              "      <td>0.116123</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e514a0fd-fe0d-48ae-a832-67fc4589ca54')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-e514a0fd-fe0d-48ae-a832-67fc4589ca54 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-e514a0fd-fe0d-48ae-a832-67fc4589ca54');\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",
              "\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 100000,\n  \"fields\": [\n    {\n      \"column\": \"alpha\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 96.50224089833225,\n        \"min\": 0.0055278279239701,\n        \"max\": 359.999809770956,\n        \"num_unique_values\": 99999,\n        \"samples\": [\n          118.663236264366,\n          358.991829744244,\n          30.887222067625\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"delta\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 19.644665404293633,\n        \"min\": -18.7853280771825,\n        \"max\": 83.00051858898,\n        \"num_unique_values\": 99999,\n        \"samples\": [\n          39.6424291996807,\n          32.7490859208678,\n          1.18870964120799\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"u\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31.769290803750323,\n        \"min\": -9999.0,\n        \"max\": 32.78139,\n        \"num_unique_values\": 93748,\n        \"samples\": [\n          25.78018,\n          20.35472,\n          18.63082\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"g\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31.750292329083205,\n        \"min\": -9999.0,\n        \"max\": 31.60224,\n        \"num_unique_values\": 92651,\n        \"samples\": [\n          20.88286,\n          23.75559,\n          17.81253\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"r\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.8547596943455276,\n        \"min\": 9.82207,\n        \"max\": 29.57186,\n        \"num_unique_values\": 91901,\n        \"samples\": [\n          17.36957,\n          21.53207,\n          16.49815\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"i\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7578947904903852,\n        \"min\": 9.469903,\n        \"max\": 32.14147,\n        \"num_unique_values\": 92019,\n        \"samples\": [\n          20.34415,\n          17.00401,\n          19.63559\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"z\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31.728151785953937,\n        \"min\": -9999.0,\n        \"max\": 29.38374,\n        \"num_unique_values\": 92007,\n        \"samples\": [\n          17.31985,\n          22.73434,\n          19.62752\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"class\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"GALAXY\",\n          \"QSO\",\n          \"STAR\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"redshift\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7307072761888128,\n        \"min\": -0.009970667,\n        \"max\": 7.011245,\n        \"num_unique_values\": 99295,\n        \"samples\": [\n          3.202965,\n          0.4115816,\n          0.34582\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Checking for Missing Values\n"
      ],
      "metadata": {
        "id": "zst3tA0TnpGZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# check for missing values\n",
        "print(df.isnull().sum())\n",
        "print(f\"\\nTotal missing values: {df.isnull().sum().sum()}\")\n",
        "\n"
      ],
      "metadata": {
        "id": "0ch5l8tIK1Dt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d3491791-ef2d-4510-8022-da9da29727a6"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "alpha       0\n",
            "delta       0\n",
            "u           0\n",
            "g           0\n",
            "r           0\n",
            "i           0\n",
            "z           0\n",
            "class       0\n",
            "redshift    0\n",
            "dtype: int64\n",
            "\n",
            "Total missing values: 0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "No missing values at all — the dataset is complete, so no need to drop or fill anything.\n"
      ],
      "metadata": {
        "id": "mRxuuQTenvOx"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Checking for Duplicates\n"
      ],
      "metadata": {
        "id": "eMCT1t0Snxhb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# check for duplicate rows\n",
        "print(f\"Duplicate rows: {df.duplicated().sum()}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B3M4tQvInzm4",
        "outputId": "cc514a51-8978-484a-88cd-e5084b7a04ce"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Duplicate rows: 0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "No duplicates either — every row is a unique observation.\n"
      ],
      "metadata": {
        "id": "6FxQUXTjn3Lf"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Checking Data Types\n"
      ],
      "metadata": {
        "id": "Jatbfa_1n4KJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# check data types\n",
        "print(df.dtypes)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qSYolto0n6fT",
        "outputId": "86c559cc-d5b4-4c44-ad91-fb5e4f2e640f"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "alpha       float64\n",
            "delta       float64\n",
            "u           float64\n",
            "g           float64\n",
            "r           float64\n",
            "i           float64\n",
            "z           float64\n",
            "class        object\n",
            "redshift    float64\n",
            "dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "All features are numeric (float64) except `class` which is our target — that's exactly what we want.\n"
      ],
      "metadata": {
        "id": "I0Dw7nlhoAgP"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Outlier Detection & Handling\n",
        "\n",
        "An outlier is a value that is very different from the rest of the data. To find outliers, we'll use **box plots** — a chart that shows the spread of values in a column. Any dots outside the \"whiskers\" of the box are considered outliers.\n",
        "\n",
        "We want to check: are these outliers real data, or just errors?\n"
      ],
      "metadata": {
        "id": "iTc39CnuqAYX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# draw a box plot for each numeric column to spot outliers\n",
        "for col in df.select_dtypes(include=[np.number]).columns:\n",
        "    plt.figure(figsize=(8, 4))\n",
        "    sns.boxplot(y=df[col])\n",
        "    plt.title(f'Box Plot of {col}')\n",
        "    plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "_Fzm8dP9p_tW",
        "outputId": "c9a5ce1f-1739-44ae-c092-fb0e34667280"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAroAAAFjCAYAAADSJKhjAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAJVRJREFUeJzt3Xt0VOW9//HPJCQzMSQTbkmIJiEgEBQpNFINCILNMSL1iKAUCz8honTVoAdQLFmBQBTMQRSwiGA8lUutl7Kq9FjLzaiwLBcpeMELF+UWoAmgMBMuCYHs3x8u9mEEkQwhO/Pwfq21l5ln9uz5RpeLt9s9e1yWZVkCAAAADBPm9AAAAADApUDoAgAAwEiELgAAAIxE6AIAAMBIhC4AAACMROgCAADASIQuAAAAjEToAgAAwEiELgAAAIxE6AJAA7Jz5065XC7Nnz/f6VECLF26VJ07d5bH45HL5dLhw4dr9fpJkybJ5XIF9d7Dhg1Tq1atgnotgMsboQvASPPnz5fL5QrY4uPj1bt3by1ZsqTe5/nggw8CZomIiFDr1q113333afv27XXyHqtXr9akSZNqHaE/5dtvv9XAgQMVFRWl2bNn609/+pOio6Pr9D1q49ixY5o0aZI++OADx2YAEBoaOT0AAFxKTzzxhNLS0mRZlsrLyzV//nzdfvvtevvtt/WrX/2q3ud55JFH1LVrV1VXV2vjxo0qLi7WO++8o02bNikpKemijr169WoVFhZq2LBhiouLq5uBJa1fv14VFRV68sknlZWVVWfHDdaxY8dUWFgoSerVq5ezwwBo0AhdAEbr06ePrr/+evvx8OHDlZCQoNdee82R0O3Ro4fuvvtuSVJOTo7atWunRx55RAsWLFBeXl69z3Mh9u/fL0l1Gs8AUB+4dAHAZSUuLk5RUVFq1Cjwv/OPHj2qRx99VMnJyXK73Wrfvr2eeeYZWZYlSTp+/LjS09OVnp6u48eP26/77rvv1LJlS3Xr1k2nTp2q9Ty33HKLJGnHjh3n3e+9995Tjx49FB0drbi4ON1555366quv7OcnTZqksWPHSpLS0tLsSyR27tx53uMuWrRIGRkZioqKUvPmzTVkyBDt3bvXfr5Xr14aOnSoJKlr165yuVwaNmzYeY/54YcfqmvXrvJ4PGrTpo1efPHFH933lVdesd+/adOmGjRokEpLS390/507d6pFixaSpMLCQvv3nDRpkiTps88+07Bhw9S6dWt5PB4lJibq/vvv17fffnvemQGYiTO6AIzm8/l08OBBWZal/fv3a9asWTpy5IiGDBli72NZlv7zP/9T77//voYPH67OnTtr2bJlGjt2rPbu3asZM2YoKipKCxYsUPfu3ZWfn6/p06dLknJzc+Xz+TR//nyFh4fXer5vvvlGktSsWbMf3efdd99Vnz591Lp1a02aNEnHjx/XrFmz1L17d23cuFGtWrVS//79tXXrVr322muaMWOGmjdvLkl2FJ7L/PnzlZOTo65du6qoqEjl5eV67rnn9M9//lMff/yx4uLilJ+fr/bt26u4uNi+DKRNmzY/esxNmzbp1ltvVYsWLTRp0iSdPHlSEydOVEJCwln7TpkyRRMmTNDAgQP1wAMP6MCBA5o1a5Z69uxpv/8PtWjRQnPmzNHvfvc73XXXXerfv78kqVOnTpKkFStWaPv27crJyVFiYqK++OILFRcX64svvtDatWuD/kAcgBBlAYCB5s2bZ0k6a3O73db8+fMD9l28eLElyZo8eXLA+t133225XC7r66+/ttfy8vKssLAwa9WqVdaiRYssSdbMmTN/cp7333/fkmS9/PLL1oEDB6x9+/ZZ77zzjtWqVSvL5XJZ69evtyzLsnbs2GFJsubNm2e/tnPnzlZ8fLz17bff2muffvqpFRYWZt1333322rRp0yxJ1o4dO35ynhMnTljx8fFWx44drePHj9vrf//73y1JVkFBgb12+u/l6RnPp1+/fpbH47F27dplr3355ZdWeHi4deYfOTt37rTCw8OtKVOmBLx+06ZNVqNGjQLWhw4daqWmptqPDxw4YEmyJk6ceNb7Hzt27Ky11157zZJkrVq16ifnB2AWLl0AYLTZs2drxYoVWrFihV555RX17t1bDzzwgN588017n3/84x8KDw/XI488EvDaRx99VJZlBdylYdKkSbr22ms1dOhQPfTQQ7r55pvPet353H///WrRooWSkpLUt29fHT16VAsWLAi4jvhM//73v/XJJ59o2LBhatq0qb3eqVMn/cd//If+8Y9/XPB7n+lf//qX9u/fr4ceekgej8de79u3r9LT0/XOO+/U+pinTp3SsmXL1K9fP6WkpNjrHTp0UHZ2dsC+b775pmpqajRw4EAdPHjQ3hITE9W2bVu9//77Qf1eUVFR9s+VlZU6ePCgbrzxRknSxo0bgzomgNDFpQsAjPaLX/wiICLvvfdedenSRSNHjtSvfvUrRUZGateuXUpKSlJMTEzAazt06CBJ2rVrl70WGRmpl19+2b4Gdd68ebX63+EFBQXq0aOHwsPD1bx5c3Xo0OGs64XPdPq927dvf9ZzHTp00LJly3T06NFa3+7rfMdNT0/Xhx9+WKvjSdKBAwd0/PhxtW3b9qzn2rdvHxDl27Ztk2VZ59xXkiIiImr9/tL310wXFhbq9ddftz9Ed5rP5wvqmABCF6EL4LISFham3r1767nnntO2bdt07bXX1voYy5Ytk/T9GcNt27YpLS3tgl973XXXNYhbdDmtpqZGLpdLS5YsOee1zY0bNw7quAMHDtTq1as1duxYde7cWY0bN1ZNTY1uu+021dTUXOzYAEIMoQvgsnPy5ElJ0pEjRyRJqampevfdd1VRURFwVnfz5s3286d99tlneuKJJ5STk6NPPvlEDzzwgDZt2iSv13tJZj393lu2bDnruc2bN6t58+b22dzanFk+87in7/xw2pYtWwJ+5wvVokULRUVFadu2bWc998P527RpI8uylJaWpnbt2tXqfX7s9zx06JBKSkpUWFiogoICe/1c8wC4PHCNLoDLSnV1tZYvX67IyEj70oTbb79dp06d0vPPPx+w74wZM+RyudSnTx/7tcOGDVNSUpKee+45zZ8/X+Xl5Ro9evQlm7dly5bq3LmzFixYEPCNZ59//rmWL1+u22+/3V47HbwX8s1o119/veLj4zV37lxVVVXZ60uWLNFXX32lvn371nrW8PBwZWdna/Hixdq9e7e9/tVXX9lnwU/r37+/wsPDVVhYaN/C7TTLss57O7ArrrhC0tm/5+kzwz883syZM2v7qwAwBGd0ARhtyZIl9pnZ/fv369VXX9W2bds0btw4xcbGSpLuuOMO9e7dW/n5+dq5c6d+9rOfafny5frb3/6mUaNG2bfTmjx5sj755BOVlJQoJiZGnTp1UkFBgcaPH6+77747IDrr0rRp09SnTx9lZmZq+PDh9u3FvF6vff9YScrIyJAk5efna9CgQYqIiNAdd9xxzut3IyIiNHXqVOXk5Ojmm2/Wvffea99erFWrVkHHe2FhoZYuXaoePXrooYce0smTJzVr1ixde+21+uyzz+z92rRpo8mTJysvL087d+5Uv379FBMTox07duitt97SiBEj9Nhjj53zPaKionTNNdfojTfeULt27dS0aVN17NhRHTt2VM+ePfX000+rurpaV155pZYvX/6T9ygGYDAnb/kAAJfKuW4v5vF4rM6dO1tz5syxampqAvavqKiwRo8ebSUlJVkRERFW27ZtrWnTptn7bdiwwWrUqJH18MMPB7zu5MmTVteuXa2kpCTr0KFDPzrP6duLLVq06Lxzn+v2YpZlWe+++67VvXt3KyoqyoqNjbXuuOMO68svvzzr9U8++aR15ZVXWmFhYRd0q7E33njD6tKli+V2u62mTZtagwcPtvbs2ROwT21uL2ZZlrVy5UorIyPDioyMtFq3bm3NnTvXmjhxonWuP3L++te/WjfddJMVHR1tRUdHW+np6VZubq61ZcsWe58f3l7Msixr9erV9nvojFuN7dmzx7rrrrusuLg4y+v1Wvfcc4+1b9++H70dGQCzuSzrB/+PBwAAADAA1+gCAADASIQuAAAAjEToAgAAwEiELgAAAIxE6AIAAMBIhC4AAACMxBdGnKGmpkb79u1TTExMrb5KEwAAAPXDsixVVFQoKSlJYWHnP2dL6J5h3759Sk5OdnoMAAAA/ITS0lJdddVV592H0D1DTEyMpO//xp3+alAAAAA0HH6/X8nJyXa3nQ+he4bTlyvExsYSugAAAA3YhVxmyofRAAAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABG4iuAgctMZWWldu/e7fQYAC6hlJQUeTwep8cAHEfoApeZ3bt3a8SIEU6PAeASKi4uVrt27ZweA3AcoQtcZlJSUlRcXOz0GKgnu3bt0pQpU5Sfn6/U1FSnx0E9SUlJcXoEoEEgdIHLjMfj4UzPZSg1NZV/7gAuO3wYDQAAAEYKmdA9deqUJkyYoLS0NEVFRalNmzZ68sknZVmWvY9lWSooKFDLli0VFRWlrKwsbdu2zcGpAQAA4JSQCd2pU6dqzpw5ev755/XVV19p6tSpevrppzVr1ix7n6efflp/+MMfNHfuXK1bt07R0dHKzs5WZWWlg5MDAADACSFzje7q1at15513qm/fvpKkVq1a6bXXXtNHH30k6fuzuTNnztT48eN15513SpIWLlyohIQELV68WIMGDXJsdgAAANS/kDmj261bN5WUlGjr1q2SpE8//VQffvih+vTpI0nasWOHysrKlJWVZb/G6/Xqhhtu0Jo1a855zKqqKvn9/oANAAAAZgiZM7rjxo2T3+9Xenq6wsPDderUKU2ZMkWDBw+WJJWVlUmSEhISAl6XkJBgP/dDRUVFKiwsvLSDAwAAwBEhc0b3L3/5i/785z/r1Vdf1caNG7VgwQI988wzWrBgQdDHzMvLk8/ns7fS0tI6nBgAAABOCpkzumPHjtW4cePsa22vu+467dq1S0VFRRo6dKgSExMlSeXl5WrZsqX9uvLycnXu3Pmcx3S73XK73Zd8dgAAANS/kDmje+zYMYWFBY4bHh6umpoaSVJaWpoSExNVUlJiP+/3+7Vu3TplZmbW66wAAABwXsic0b3jjjs0ZcoUpaSk6Nprr9XHH3+s6dOn6/7775ckuVwujRo1SpMnT1bbtm2VlpamCRMmKCkpSf369XN2eAAAANS7kAndWbNmacKECXrooYe0f/9+JSUl6be//a0KCgrsfR5//HEdPXpUI0aM0OHDh3XTTTdp6dKl8ng8Dk4OAAAAJ7isM79a7DLn9/vl9Xrl8/kUGxvr9DgAcNG2bt2qESNGqLi4WO3atXN6HAC4aLXptZC5RhcAAACoDUIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARgqp0N27d6+GDBmiZs2aKSoqStddd53+9a9/2c9blqWCggK1bNlSUVFRysrK0rZt2xycGAAAAE4JmdA9dOiQunfvroiICC1ZskRffvmlnn32WTVp0sTe5+mnn9Yf/vAHzZ07V+vWrVN0dLSys7NVWVnp4OQAAABwQiOnB7hQU6dOVXJysubNm2evpaWl2T9blqWZM2dq/PjxuvPOOyVJCxcuVEJCghYvXqxBgwbV+8wAAABwTsic0f3f//1fXX/99brnnnsUHx+vLl266KWXXrKf37Fjh8rKypSVlWWveb1e3XDDDVqzZs05j1lVVSW/3x+wAQAAwAwhE7rbt2/XnDlz1LZtWy1btky/+93v9Mgjj2jBggWSpLKyMklSQkJCwOsSEhLs536oqKhIXq/X3pKTky/tLwEAAIB6EzKhW1NTo5///Od66qmn1KVLF40YMUIPPvig5s6dG/Qx8/Ly5PP57K20tLQOJwYAAICTQiZ0W7ZsqWuuuSZgrUOHDtq9e7ckKTExUZJUXl4esE95ebn93A+53W7FxsYGbAAAADBDyIRu9+7dtWXLloC1rVu3KjU1VdL3H0xLTExUSUmJ/bzf79e6deuUmZlZr7MCAADAeSFz14XRo0erW7dueuqppzRw4EB99NFHKi4uVnFxsSTJ5XJp1KhRmjx5stq2bau0tDRNmDBBSUlJ6tevn7PDAwAAoN6FTOh27dpVb731lvLy8vTEE08oLS1NM2fO1ODBg+19Hn/8cR09elQjRozQ4cOHddNNN2np0qXyeDwOTg4AAAAnuCzLspweoqHw+/3yer3y+XxcrwvACFu3btWIESNUXFysdu3aOT0OAFy02vRayFyjCwAAANQGoQsAAAAjEboAAAAwEqELAAAAIxG6AAAAMBKhCwAAACMRugAAADASoQsAAAAjEboAAAAwEqELAAAAIxG6AAAAMBKhCwAAACMRugAAADASoQsAAAAjEboAAAAwEqELAAAAIxG6AAAAMBKhCwAAACMRugAAADASoQsAAAAjEboAAAAwEqELAAAAIxG6AAAAMBKhCwAAACMRugAAADASoQsAAAAjEboAAAAwEqELAAAAIxG6AAAAMBKhCwAAACMRugAAADASoQsAAAAjEboAAAAwEqELAAAAIxG6AAAAMBKhCwAAACMRugAAADASoQsAAAAjEboAAAAwEqELAAAAIxG6AAAAMBKhCwAAACMRugAAADASoQsAAAAjhWzo/vd//7dcLpdGjRplr1VWVio3N1fNmjVT48aNNWDAAJWXlzs3JAAAABwTkqG7fv16vfjii+rUqVPA+ujRo/X2229r0aJFWrlypfbt26f+/fs7NCUAAACcFHKhe+TIEQ0ePFgvvfSSmjRpYq/7fD798Y9/1PTp03XLLbcoIyND8+bN0+rVq7V27VoHJwYAAIATQi50c3Nz1bdvX2VlZQWsb9iwQdXV1QHr6enpSklJ0Zo1a855rKqqKvn9/oANAAAAZmjk9AC18frrr2vjxo1av379Wc+VlZUpMjJScXFxAesJCQkqKys75/GKiopUWFh4KUYNOeXl5fL5fE6PAaCO7dq1K+CvAMzi9XqVkJDg9BgNVsiEbmlpqf7rv/5LK1askMfjqZNj5uXlacyYMfZjv9+v5OTkOjl2KCkvL9eQ/3efqk9UOT0KgEtkypQpTo8A4BKIiHTrlT8tJHZ/RMiE7oYNG7R//379/Oc/t9dOnTqlVatW6fnnn9eyZct04sQJHT58OOCsbnl5uRITE895TLfbLbfbfalHb/B8Pp+qT1TpeOubVePxOj0OAAC4AGGVPmn7Svl8PkL3R4RM6P7yl7/Upk2bAtZycnKUnp6u3//+90pOTlZERIRKSko0YMAASdKWLVu0e/duZWZmOjFyyKnxeFUT3dzpMQAAAOpEyIRuTEyMOnbsGLAWHR2tZs2a2evDhw/XmDFj1LRpU8XGxurhhx9WZmambrzxRidGBgAAgINCJnQvxIwZMxQWFqYBAwaoqqpK2dnZeuGFF5weCwAAAA4I6dD94IMPAh57PB7Nnj1bs2fPdmYgAAAANBgXHbqVlZU6ceJEwFpsbOzFHhYAAAC4KEF9YcSxY8c0cuRIxcfHKzo6Wk2aNAnYAAAAAKcFFbpjx47Ve++9pzlz5sjtdut//ud/VFhYqKSkJC1cuLCuZwQAAABqLahLF95++20tXLhQvXr1Uk5Ojnr06KGrr75aqamp+vOf/6zBgwfX9ZwAAABArQR1Rve7775T69atJX1/Pe53330nSbrpppu0atWqupsOAAAACFJQodu6dWvt2LFDkpSenq6//OUvkr4/03vmt5IBAAAATgkqdHNycvTpp59KksaNG6fZs2fL4/Fo9OjRGjt2bJ0OCAAAAAQjqGt0R48ebf+clZWlzZs3a8OGDbr66qvVqVOnOhsOAAAACFZQZ3QXLlyoqqoq+3Fqaqr69++v9PR07roAAACABiHoSxd8Pt9Z6xUVFcrJybnooQAAAICLFVToWpYll8t11vqePXvk9XoveigAAADgYtXqGt0uXbrI5XLJ5XLpl7/8pRo1+r+Xnzp1Sjt27NBtt91W50MCAAAAtVWr0O3Xr58k6ZNPPlF2drYaN25sPxcZGalWrVppwIABdTogAAAAEIxahe7EiRMlSa1atdKvf/1reTyeSzIUAAAAcLGCur3Y0KFD63oOAAAAoE5dcOg2adLknB9AO5fTXwkMAAAAOOWCQ3fmzJmXcAwAAACgbl1w6HK5AgAAAEJJUPfRlaRvvvlG48eP17333qv9+/dLkpYsWaIvvviizoYDAAAAghVU6K5cuVLXXXed1q1bpzfffFNHjhyRJH366af2nRkAAAAAJwUVuuPGjdPkyZO1YsUKRUZG2uu33HKL1q5dW2fDAQAAAMEKKnQ3bdqku+6666z1+Ph4HTx48KKHAgAAAC5WUKEbFxenf//732etf/zxx7ryyisveigAAADgYgUVuoMGDdLvf/97lZWVyeVyqaamRv/85z/12GOP6b777qvrGQEAAIBaCyp0n3rqKaWnpys5OVlHjhzRNddcox49eqhbt24aP358Xc8IAAAA1FpQXwEcGRmpl156SQUFBdq0aZOOHDmiLl26qG3btnU9HwAAABCUCw7dMWPGnPf5M++2MH369OAnAgAAAOrABYfuxx9/HPB448aNOnnypNq3by9J2rp1q8LDw5WRkVG3EwIAAABBuODQff/99+2fp0+frpiYGC1YsEBNmjSRJB06dEg5OTnq0aNH3U8JAAAA1FJQH0Z79tlnVVRUZEeuJDVp0kSTJ0/Ws88+W2fDAQAAAMEKKnT9fr8OHDhw1vqBAwdUUVFx0UMBAAAAFyuo0L3rrruUk5OjN998U3v27NGePXv017/+VcOHD1f//v3rekYAAACg1oK6vdjcuXP12GOP6Te/+Y2qq6u/P1CjRho+fLimTZtWpwMCAAAAwQgqdK+44gq98MILmjZtmr755htJUps2bRQdHV2nwwEAAADBCip0T4uOjlanTp3qahYAAACgzgR1jS4AAADQ0BG6AAAAMNJFXboAs4QdP+z0CAAA4ALx5/ZPI3Rhi9qxyukRAAAA6gyhC9vxtJ6qiYpzegwAAHABwo4f5iTVTyB0YauJilNNdHOnxwAAAKgTfBgNAAAARiJ0AQAAYCRCFwAAAEYKmdAtKipS165dFRMTo/j4ePXr109btmwJ2KeyslK5ublq1qyZGjdurAEDBqi8vNyhiQEAAOCkkAndlStXKjc3V2vXrtWKFStUXV2tW2+9VUePHrX3GT16tN5++20tWrRIK1eu1L59+9S/f38HpwYAAIBTQuauC0uXLg14PH/+fMXHx2vDhg3q2bOnfD6f/vjHP+rVV1/VLbfcIkmaN2+eOnTooLVr1+rGG290YmwAAAA4JGTO6P6Qz+eTJDVt2lSStGHDBlVXVysrK8veJz09XSkpKVqzZs05j1FVVSW/3x+wAQAAwAwhGbo1NTUaNWqUunfvro4dO0qSysrKFBkZqbi4uIB9ExISVFZWds7jFBUVyev12ltycvKlHh0AAAD1JCRDNzc3V59//rlef/31izpOXl6efD6fvZWWltbRhAAAAHBayFyje9rIkSP197//XatWrdJVV11lrycmJurEiRM6fPhwwFnd8vJyJSYmnvNYbrdbbrf7Uo8MAAAAB4TMGV3LsjRy5Ei99dZbeu+995SWlhbwfEZGhiIiIlRSUmKvbdmyRbt371ZmZmZ9jwsAAACHhcwZ3dzcXL366qv629/+ppiYGPu6W6/Xq6ioKHm9Xg0fPlxjxoxR06ZNFRsbq4cffliZmZnccQEAAOAyFDKhO2fOHElSr169AtbnzZunYcOGSZJmzJihsLAwDRgwQFVVVcrOztYLL7xQz5MCAACgIQiZ0LUs6yf38Xg8mj17tmbPnl0PEwEAAKAhC5lrdAEAAIDaIHQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARmrk9ABoOMIqfU6PAAAALhB/bv80Qhfyer2KiHRL21c6PQoAAKiFiEi3vF6v02M0WIQulJCQoFf+tFA+H/9lCJhm165dmjJlivLz85Wamur0OADqmNfrVUJCgtNjNFiELiR9H7v8iwKYKzU1Ve3atXN6DACoV3wYDQAAAEYidAEAAGAkQhcAAABGInQBAABgJEIXAAAARiJ0AQAAYCRCFwAAAEYyMnRnz56tVq1ayePx6IYbbtBHH33k9EgAAACoZ8aF7htvvKExY8Zo4sSJ2rhxo372s58pOztb+/fvd3o0AAAA1CPjQnf69Ol68MEHlZOTo2uuuUZz587VFVdcoZdfftnp0QAAAFCPjArdEydOaMOGDcrKyrLXwsLClJWVpTVr1py1f1VVlfx+f8AGAAAAMxgVugcPHtSpU6eUkJAQsJ6QkKCysrKz9i8qKpLX67W35OTk+hoVAAAAl5hRoVtbeXl58vl89lZaWur0SAAAAKgjjZweoC41b95c4eHhKi8vD1gvLy9XYmLiWfu73W653e76Gg8AAAD1yKgzupGRkcrIyFBJSYm9VlNTo5KSEmVmZjo4GQAAAOqbUWd0JWnMmDEaOnSorr/+ev3iF7/QzJkzdfToUeXk5Dg9GgAAAOqRcaH761//WgcOHFBBQYHKysrUuXNnLV269KwPqAEAAMBsxoWuJI0cOVIjR450egwAAAA4yKhrdAEAAIDTCF0AAAAYidAFAACAkQhdAAAAGInQBQAAgJEIXQAAABiJ0AUAAICRCF0AAAAYidAFAACAkQhdAAAAGInQBQAAgJEIXQAAABiJ0AUAAICRCF0AAAAYidAFAACAkQhdAAAAGInQBQAAgJEIXQAAABiJ0AUAAICRCF0AAAAYidAFAACAkQhdAAAAGInQBQAAgJEIXQAAABiJ0AUAAICRCF0AAAAYidAFAACAkQhdAAAAGInQBQAAgJEIXQAAABiJ0AUAAICRCF0AAAAYidAFAACAkQhdAAAAGInQBQAAgJEIXQAAABiJ0AUAAICRCF0AAAAYidAFAACAkQhdAAAAGInQBQAAgJEIXQAAABiJ0AUAAICRCF0AAAAYqZHTA1yInTt36sknn9R7772nsrIyJSUlaciQIcrPz1dkZKS932effabc3FytX79eLVq00MMPP6zHH3/cwcmBhqeyslK7d+92egzUk127dgX8FZeHlJQUeTwep8cAHBcSobt582bV1NToxRdf1NVXX63PP/9cDz74oI4ePapnnnlGkuT3+3XrrbcqKytLc+fO1aZNm3T//fcrLi5OI0aMcPg3ABqO3bt38+/EZWjKlClOj4B6VFxcrHbt2jk9BuA4l2VZltNDBGPatGmaM2eOtm/fLkmaM2eO8vPzVVZWZp/lHTdunBYvXqzNmzdf0DH9fr+8Xq98Pp9iY2Mv2eyAkzijC5iPM7owWW16LSTO6J6Lz+dT06ZN7cdr1qxRz549Ay5lyM7O1tSpU3Xo0CE1adLkrGNUVVWpqqrKfuz3+y/t0EAD4PF4ONMDALgshOSH0b7++mvNmjVLv/3tb+21srIyJSQkBOx3+nFZWdk5j1NUVCSv12tvycnJl25oAAAA1CtHQ3fcuHFyuVzn3X542cHevXt122236Z577tGDDz54Ue+fl5cnn89nb6WlpRd1PAAAADQcjl668Oijj2rYsGHn3ad169b2z/v27VPv3r3VrVs3FRcXB+yXmJio8vLygLXTjxMTE895bLfbLbfbHcTkAAAAaOgcDd0WLVqoRYsWF7Tv3r171bt3b2VkZGjevHkKCws8GZ2Zman8/HxVV1crIiJCkrRixQq1b9/+nNfnAgAAwGwhcY3u3r171atXL6WkpOiZZ57RgQMHVFZWFnDt7W9+8xtFRkZq+PDh+uKLL/TGG2/oueee05gxYxycHAAAAE4JibsurFixQl9//bW+/vprXXXVVQHPnb47mtfr1fLly5Wbm6uMjAw1b95cBQUF3C8UAADgMhWy99G9FLiPLgAAQMNWm14LiUsXAAAAgNoidAEAAGAkQhcAAABGCokPo9WX05cr81XAAAAADdPpTruQj5kRumeoqKiQJL4KGAAAoIGrqKiQ1+s97z7cdeEMNTU12rdvn2JiYuRyuZweBwAumt/vV3JyskpLS7mbDAAjWJaliooKJSUlnfUFYj9E6AKAwbhtIoDLGR9GAwAAgJEIXQAAABiJ0AUAg7ndbk2cOFFut9vpUQCg3nGNLgAAAIzEGV0AAAAYidAFAACAkQhdAAAAGInQBQAAgJEIXQAAABiJ0AUAAICRCF0AAAAYidAFAACAkf4/KVfW/j6Ix7oAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Looking at the box plots, we can see that the columns `u`, `g`, and `z` have extreme values around **-9999**. That's not a real measurement — it's an error code the telescope uses when it couldn't get a proper reading. Let's check how many of these exist.\n"
      ],
      "metadata": {
        "id": "cGkgiW6Jqhfz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# count how many -9999 values exist\n",
        "for col in ['u', 'g', 'z']:\n",
        "    count = (df[col] == -9999).sum()\n",
        "    print(f\"{col}: {count} rows with -9999\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N8bt2gkmqjjd",
        "outputId": "bde2d2ad-aa1e-47f6-9838-a54b4c47bb7c"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "u: 1 rows with -9999\n",
            "g: 1 rows with -9999\n",
            "z: 1 rows with -9999\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Only 1 row per column — barely anything out of 100,000. I'll remove these rows since they represent bad readings, not real data.\n"
      ],
      "metadata": {
        "id": "ieLuKIgDqnDd"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### What about redshift?\n",
        "\n",
        "Redshift also looks like it has outliers, but let's check what's going on by looking at it per class:\n"
      ],
      "metadata": {
        "id": "UPChUpadqpN_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# check redshift values for each class\n",
        "print(df.groupby('class')['redshift'].describe())\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E1J-rwNKqtyB",
        "outputId": "af19c76c-0a4f-4d68-9ea0-b207d6ef6457"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "          count      mean       std       min       25%       50%       75%  \\\n",
            "class                                                                         \n",
            "GALAXY  59445.0  0.421596  0.264858 -0.009971  0.164527  0.456274  0.594699   \n",
            "QSO     18961.0  1.719676  0.913954  0.000461  1.106605  1.617232  2.220279   \n",
            "STAR    21594.0 -0.000115  0.000465 -0.004136 -0.000295 -0.000076  0.000075   \n",
            "\n",
            "             max  \n",
            "class             \n",
            "GALAXY  1.995524  \n",
            "QSO     7.011245  \n",
            "STAR    0.004153  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now it makes sense:\n",
        "- **Stars** have redshift close to 0 — they're nearby\n",
        "- **Galaxies** have medium redshift — they're farther away  \n",
        "- **Quasars (QSO)** have high redshift — they're very far away\n",
        "\n",
        "So the high redshift values aren't errors, they're just quasars. Removing them would mean losing real data, so I'm keeping them.\n",
        "\n",
        "**Summary:**\n",
        "- Removed rows with -9999 error codes (bad telescope readings)\n",
        "- Kept high redshift values (real physical property, not errors)\n"
      ],
      "metadata": {
        "id": "rXiG9nXgqzBp"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Descriptive Statistics\n",
        "\n",
        "Let's summarize the data to understand the general patterns — things like the average, spread, and how the columns relate to each other.\n"
      ],
      "metadata": {
        "id": "RrZmmmT1q00c"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# basic statistics for all numeric columns\n",
        "df.describe()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "id": "uRooApDrrNqD",
        "outputId": "4c6d47e6-b854-4a52-cd55-864dca3a4869"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               alpha          delta              u              g  \\\n",
              "count  100000.000000  100000.000000  100000.000000  100000.000000   \n",
              "mean      177.629117      24.135305      21.980468      20.531387   \n",
              "std        96.502241      19.644665      31.769291      31.750292   \n",
              "min         0.005528     -18.785328   -9999.000000   -9999.000000   \n",
              "25%       127.518222       5.146771      20.352353      18.965230   \n",
              "50%       180.900700      23.645922      22.179135      21.099835   \n",
              "75%       233.895005      39.901550      23.687440      22.123767   \n",
              "max       359.999810      83.000519      32.781390      31.602240   \n",
              "\n",
              "                   r              i              z       redshift  \n",
              "count  100000.000000  100000.000000  100000.000000  100000.000000  \n",
              "mean       19.645762      19.084854      18.668810       0.576661  \n",
              "std         1.854760       1.757895      31.728152       0.730707  \n",
              "min         9.822070       9.469903   -9999.000000      -0.009971  \n",
              "25%        18.135828      17.732285      17.460677       0.054517  \n",
              "50%        20.125290      19.405145      19.004595       0.424173  \n",
              "75%        21.044785      20.396495      19.921120       0.704154  \n",
              "max        29.571860      32.141470      29.383740       7.011245  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-df13ff23-02f3-4879-917a-867548f9a236\" 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>alpha</th>\n",
              "      <th>delta</th>\n",
              "      <th>u</th>\n",
              "      <th>g</th>\n",
              "      <th>r</th>\n",
              "      <th>i</th>\n",
              "      <th>z</th>\n",
              "      <th>redshift</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>177.629117</td>\n",
              "      <td>24.135305</td>\n",
              "      <td>21.980468</td>\n",
              "      <td>20.531387</td>\n",
              "      <td>19.645762</td>\n",
              "      <td>19.084854</td>\n",
              "      <td>18.668810</td>\n",
              "      <td>0.576661</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>96.502241</td>\n",
              "      <td>19.644665</td>\n",
              "      <td>31.769291</td>\n",
              "      <td>31.750292</td>\n",
              "      <td>1.854760</td>\n",
              "      <td>1.757895</td>\n",
              "      <td>31.728152</td>\n",
              "      <td>0.730707</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.005528</td>\n",
              "      <td>-18.785328</td>\n",
              "      <td>-9999.000000</td>\n",
              "      <td>-9999.000000</td>\n",
              "      <td>9.822070</td>\n",
              "      <td>9.469903</td>\n",
              "      <td>-9999.000000</td>\n",
              "      <td>-0.009971</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>127.518222</td>\n",
              "      <td>5.146771</td>\n",
              "      <td>20.352353</td>\n",
              "      <td>18.965230</td>\n",
              "      <td>18.135828</td>\n",
              "      <td>17.732285</td>\n",
              "      <td>17.460677</td>\n",
              "      <td>0.054517</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>180.900700</td>\n",
              "      <td>23.645922</td>\n",
              "      <td>22.179135</td>\n",
              "      <td>21.099835</td>\n",
              "      <td>20.125290</td>\n",
              "      <td>19.405145</td>\n",
              "      <td>19.004595</td>\n",
              "      <td>0.424173</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>233.895005</td>\n",
              "      <td>39.901550</td>\n",
              "      <td>23.687440</td>\n",
              "      <td>22.123767</td>\n",
              "      <td>21.044785</td>\n",
              "      <td>20.396495</td>\n",
              "      <td>19.921120</td>\n",
              "      <td>0.704154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>359.999810</td>\n",
              "      <td>83.000519</td>\n",
              "      <td>32.781390</td>\n",
              "      <td>31.602240</td>\n",
              "      <td>29.571860</td>\n",
              "      <td>32.141470</td>\n",
              "      <td>29.383740</td>\n",
              "      <td>7.011245</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-df13ff23-02f3-4879-917a-867548f9a236')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-df13ff23-02f3-4879-917a-867548f9a236 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-df13ff23-02f3-4879-917a-867548f9a236');\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",
              "\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"alpha\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35296.074017679835,\n        \"min\": 0.0055278279239701,\n        \"max\": 100000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          177.6291166216363,\n          180.9007001209685,\n          100000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"delta\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35346.426876733196,\n        \"min\": -18.7853280771825,\n        \"max\": 100000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          24.135304595352267,\n          23.64592229835845,\n          100000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"u\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 36023.84468984557,\n        \"min\": -9999.0,\n        \"max\": 100000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          21.980468269,\n          22.179135000000002,\n          100000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"g\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 36024.142466149366,\n        \"min\": -9999.0,\n        \"max\": 100000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          20.5313869616,\n          21.099835,\n          100000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"r\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35349.26898073893,\n        \"min\": 1.8547596943455276,\n        \"max\": 100000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          19.645762146,\n          20.12529,\n          100000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"i\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35349.27983964072,\n        \"min\": 1.7578947904903852,\n        \"max\": 100000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          19.084854232030004,\n          19.405144999999997,\n          100000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"z\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 36024.584207028514,\n        \"min\": -9999.0,\n        \"max\": 100000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          18.66881032223,\n          19.004595000000002,\n          100000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"redshift\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35354.859743283996,\n        \"min\": -0.009970667,\n        \"max\": 100000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.5766608040203002,\n          0.42417325,\n          100000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now let's look at the **mean values per class** to see how Stars, Galaxies, and Quasars differ:\n"
      ],
      "metadata": {
        "id": "NeB0Vx1HrUA-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# average values grouped by class\n",
        "df.groupby('class').mean()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 193
        },
        "id": "dG3WWzgkrVQP",
        "outputId": "f702d226-1621-484d-cd65-bd7edb244923"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             alpha      delta          u          g          r          i  \\\n",
              "class                                                                       \n",
              "GALAXY  177.954727  23.513911  22.587379  20.906101  19.587552  18.851990   \n",
              "QSO     180.474314  26.808621  21.547619  20.926193  20.624089  20.431173   \n",
              "STAR    174.234485  23.498554  20.689805  19.153188  18.946969  18.543736   \n",
              "\n",
              "                z  redshift  \n",
              "class                        \n",
              "GALAXY  18.449156  0.421596  \n",
              "QSO     20.266732  1.719676  \n",
              "STAR    17.870400 -0.000115  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f1b3b6db-2963-42f1-8ad4-c552f1748a3e\" 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>alpha</th>\n",
              "      <th>delta</th>\n",
              "      <th>u</th>\n",
              "      <th>g</th>\n",
              "      <th>r</th>\n",
              "      <th>i</th>\n",
              "      <th>z</th>\n",
              "      <th>redshift</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>class</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>GALAXY</th>\n",
              "      <td>177.954727</td>\n",
              "      <td>23.513911</td>\n",
              "      <td>22.587379</td>\n",
              "      <td>20.906101</td>\n",
              "      <td>19.587552</td>\n",
              "      <td>18.851990</td>\n",
              "      <td>18.449156</td>\n",
              "      <td>0.421596</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>QSO</th>\n",
              "      <td>180.474314</td>\n",
              "      <td>26.808621</td>\n",
              "      <td>21.547619</td>\n",
              "      <td>20.926193</td>\n",
              "      <td>20.624089</td>\n",
              "      <td>20.431173</td>\n",
              "      <td>20.266732</td>\n",
              "      <td>1.719676</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>STAR</th>\n",
              "      <td>174.234485</td>\n",
              "      <td>23.498554</td>\n",
              "      <td>20.689805</td>\n",
              "      <td>19.153188</td>\n",
              "      <td>18.946969</td>\n",
              "      <td>18.543736</td>\n",
              "      <td>17.870400</td>\n",
              "      <td>-0.000115</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f1b3b6db-2963-42f1-8ad4-c552f1748a3e')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-f1b3b6db-2963-42f1-8ad4-c552f1748a3e 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-f1b3b6db-2963-42f1-8ad4-c552f1748a3e');\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",
              "\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"class\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"GALAXY\",\n          \"QSO\",\n          \"STAR\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alpha\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.1391080194373315,\n        \"min\": 174.23448485015368,\n        \"max\": 180.4743144505685,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          177.9547265541623,\n          180.4743144505685,\n          174.23448485015368\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"delta\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.906650663614723,\n        \"min\": 23.49855397289674,\n        \"max\": 26.808621332117472,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          23.513910605874596,\n          26.808621332117472,\n          23.49855397289674\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"u\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9502396782933491,\n        \"min\": 20.689805313976105,\n        \"max\": 22.587379290268313,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          22.587379290268313,\n          21.547619273245083,\n          20.689805313976105\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"g\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0178943359381043,\n        \"min\": 19.153188379642494,\n        \"max\": 20.926192992458205,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          20.906101454453697,\n          20.926192992458205,\n          19.153188379642494\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"r\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8463142897208515,\n        \"min\": 18.94696902102436,\n        \"max\": 20.624089024313065,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          19.58755174648835,\n          20.624089024313065,\n          18.94696902102436\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"i\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.012526408314037,\n        \"min\": 18.543735711910717,\n        \"max\": 20.431172771478295,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          18.85198969332997,\n          20.431172771478295,\n          18.543735711910717\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"z\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.2503960004171621,\n        \"min\": 17.870400410901176,\n        \"max\": 20.266731590633405,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          18.44915649861216,\n          20.266731590633405,\n          17.870400410901176\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"redshift\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8963381776773057,\n        \"min\": -0.00011489720327557516,\n        \"max\": 1.7196760892911345,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.42159615044475307,\n          1.7196760892911345,\n          -0.00011489720327557516\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Some things that stand out:\n",
        "- **Quasars (QSO)** have the highest average redshift (1.72) — makes sense, they're the farthest objects\n",
        "- **Stars** have redshift basically at 0 — they're close to us\n",
        "- **The light filters** (u, g, r, i, z) get smaller in value as we go from u to z for all classes — this represents how the brightness changes across different wavelengths\n",
        "- **Galaxies** tend to be brightest in the z filter (lowest value = brighter), while **Quasars** have more even readings across filters\n"
      ],
      "metadata": {
        "id": "5t1bZ99lrZUI"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Correlation Matrix\n",
        "\n",
        "Let's check which features are related to each other:\n"
      ],
      "metadata": {
        "id": "mWGxpM_OrbZT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# correlation between all numeric columns\n",
        "print(df.select_dtypes(include=[np.number]).corr().round(2))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_NYPXe5TrdQf",
        "outputId": "d6de9d00-b553-48d3-8845-69063815d736"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "          alpha  delta     u     g     r     i     z  redshift\n",
            "alpha      1.00   0.14 -0.00 -0.00 -0.02 -0.02 -0.00      0.00\n",
            "delta      0.14   1.00  0.00  0.00 -0.01 -0.00  0.00      0.03\n",
            "u         -0.00   0.00  1.00  1.00  0.05  0.05  1.00      0.01\n",
            "g         -0.00   0.00  1.00  1.00  0.06  0.06  1.00      0.02\n",
            "r         -0.02  -0.01  0.05  0.06  1.00  0.96  0.05      0.43\n",
            "i         -0.02  -0.00  0.05  0.06  0.96  1.00  0.06      0.49\n",
            "z         -0.00   0.00  1.00  1.00  0.05  0.06  1.00      0.03\n",
            "redshift   0.00   0.03  0.01  0.02  0.43  0.49  0.03      1.00\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Key takeaways:\n",
        "- The light filters (u, g, r, i, z) are **highly correlated** with each other — which makes sense, if an object is bright in one filter it's usually bright in others too\n",
        "- `redshift` has a moderate correlation with the filters (especially z, i, r) — farther objects tend to appear dimmer\n",
        "- `alpha` and `delta` (sky coordinates) have almost no correlation with anything — where something is in the sky doesn't tell us what it is\n"
      ],
      "metadata": {
        "id": "G5gfUy85riWE"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Research:** relevant questions about my dataset, providing answers using visual elements (e.g. charts or plots) to provide clear insights.\n",
        "\n"
      ],
      "metadata": {
        "id": "lo68PsjTK0_j"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Visualizations & Research Questions\n",
        "\n",
        "Our main goal is: **\"Can we tell whether something in space is a Star, a Galaxy, or a Quasar just from the numbers the telescope recorded?\"**\n",
        "\n",
        "To answer that, I'm going to break it down into smaller questions:\n",
        "\n",
        "1. **How are the 3 classes distributed in our dataset?** — Are they balanced or is one class more common?\n",
        "2. **How does redshift differ between the 3 classes?** — Redshift tells us how far an object is. Does it help separate them?\n",
        "3. **Can the light filters (u, g, r, i, z) help us tell the classes apart?** — These measure brightness at different wavelengths. Do the classes look different?\n",
        "4. **How correlated are the features?** — Are some features basically saying the same thing?\n",
        "5. **Where are these objects located in the sky?** — Does location (alpha, delta) matter for classification?\n",
        "\n",
        "Let's go through them one by one.\n"
      ],
      "metadata": {
        "id": "AdBNbVQFtXJf"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Question 1: How are the 3 classes distributed?\n"
      ],
      "metadata": {
        "id": "9sUpSaYftf5y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# count how many of each class we have\n",
        "plt.figure(figsize=(8, 5))\n",
        "sns.countplot(x=df['class'])\n",
        "plt.title('Distribution of Celestial Object Classes')\n",
        "plt.xlabel('Class')\n",
        "plt.ylabel('Count')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 387
        },
        "id": "g46YCS6RtiZl",
        "outputId": "bbe37b96-1f82-4b3c-d71c-0d74f349627d"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Galaxies are by far the most common class (around 59,000), followed by Stars (around 21,500) and Quasars (~19,000). The dataset is not perfectly balanced — there are almost 3x more galaxies than quasars. This is important to keep in mind.\n"
      ],
      "metadata": {
        "id": "7EBZ0M_Stl-q"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Question 2: How does redshift differ between the 3 classes?\n"
      ],
      "metadata": {
        "id": "xEtmqDFPtqRw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# histogram of redshift for each class\n",
        "plt.figure(figsize=(10, 5))\n",
        "for cls in df['class'].unique():\n",
        "    sns.histplot(df[df['class'] == cls]['redshift'], label=cls, kde=True, bins=50)\n",
        "plt.title('Redshift Distribution by Class')\n",
        "plt.xlabel('Redshift')\n",
        "plt.ylabel('Count')\n",
        "plt.legend()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 324
        },
        "id": "vPDEFWBrtrJh",
        "outputId": "af012479-f6cb-4639-ad06-fb2c3364e502"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1sAAAHWCAYAAACBjZMqAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAlAdJREFUeJzs3Xd4VGX6xvHv9PSEEFIgJIQeEERhFcSCiqJiR10RFBe7WMBddXXtddW1oKLoiuJaVoWfbQEFFMEGKCg9NCmhJSEJyaROkpnz+2PISCSElEkmE+7Pdc1F5px3znkOibu5ed/zHJNhGAYiIiIiIiLiV+ZAFyAiIiIiItIWKWyJiIiIiIg0A4UtERERERGRZqCwJSIiIiIi0gwUtkRERERERJqBwpaIiIiIiEgzUNgSERERERFpBgpbIiIiIiIizUBhS0REREREpBkobImIBKnp06djMpnYtm1bvT+zbds2TCYT//rXvw479qGHHsJkMtXYVlVVxV133UXnzp0xm81ceOGFDay6ca6++mq6dOnSIufq0qULV199te999d/zsmXLWuT8w4YNY9iwYS1yrgO19HXWR/XP6/Tp0wNdiohIoyhsiYj4UfUvrNUvq9VKp06duPrqq9m1a1egy2uyN998k2eeeYZLLrmEt99+m0mTJrFu3Toeeuiheoe+6hBX/QoLCyMlJYXzzjuPt956C5fL5ZdaG1pXS2rNtbWUhQsXcvHFF5OYmIjdbic+Pp7zzjuPjz/+ONCliYj4jTXQBYiItEWPPPIIaWlplJeXs2TJEqZPn87333/PmjVrCAkJCXR59XLffffx97//vca2BQsW0KlTJ55//nnftpkzZ/Lwww8zbNiwBs0+vfrqq0REROByudi1axdz585l/PjxvPDCC8yaNYvOnTv7xv773//G4/E0qP5169Y1qq4NGzZgNjfvv0XWVdu8efOa9dytwYMPPsgjjzxCjx49uOGGG0hNTSUvL485c+YwatQo3nvvPa644opAlyki0mQKWyIizeDss89m0KBBAFx77bXExcXx1FNP8fnnn3PZZZcFuLr6sVqtWK01/28iJyeHmJgYvxz/kksuIS4uzvf+gQce4L333uOqq67i0ksvZcmSJb59NpvNL+c8FMMwKC8vJzQ0FIfD0aznOhy73R7Q8ze3mTNn8sgjj3DJJZfw/vvv1/je3nnnncydO5fKysoAVigi4j9aRigi0gJOOukkAH777bca29evX88ll1xCbGwsISEhDBo0iM8///ygz69du5bTTjuN0NBQkpOTeeyxx2qd6Vm2bBkjRowgLi6O0NBQ0tLSGD9+fK01vf7663Tr1g2Hw8Gf/vQnfv755xr7D7xnq/remW+++Ya1a9f6lgBOnz6dSy+9FIBTTz3Vt33hwoUN/jsCGDNmDNdeey1Lly5l/vz5vu213bP1wQcfMHDgQCIjI4mKiqJfv35MnjwZ4LB1denShXPPPZe5c+cyaNAgQkNDee2113z7Drxnq1ppaSk33HAD7du3Jyoqiquuuop9+/bVGGMymXjooYcO+uyBxzxcbbXds5WTk8M111xDQkICISEhHH300bz99ts1xhx4P97hvrd1Odx1jhs3jri4uFoD0ZlnnkmvXr3qPP79999PbGwsb775Zq0hesSIEZx77rmH/PyqVau4+uqr6dq1KyEhISQmJjJ+/Hjy8vJqjCsqKmLixIl06dIFh8NBfHw8Z5xxBr/88otvzKZNmxg1ahSJiYmEhISQnJzM5ZdfTmFhYZ3XICJSX5rZEhFpAdX35rRr1863be3atQwdOpROnTrx97//nfDwcD766CMuvPBC/u///o+LLroIgKysLE499VSqqqp8415//XVCQ0NrnCMnJ4czzzyTDh068Pe//52YmBi2bdtW6z0w77//PkVFRdxwww2YTCaefvppLr74YrZs2VLrL8AdOnTgnXfe4fHHH6e4uJgnn3wSgB49enDbbbfx4osvcu+995Keng7g+7MxrrzySl5//XXmzZvHGWecUeuY+fPnM3r0aE4//XSeeuopADIyMvjhhx+4/fbbOfnkkw9b14YNGxg9ejQ33HAD11133WFDwi233EJMTAwPPfQQGzZs4NVXX2X79u0sXLjwoEYidalPbQcqKytj2LBhbN68mVtuuYW0tDRmzJjB1VdfTUFBAbfffnuN8Q393jb0Oq+88kr+85//MHfu3BqhKCsriwULFvDggw8e8tibNm1i/fr1jB8/nsjIyPr8dR1k/vz5bNmyhb/85S8kJiaydu1aXn/9ddauXcuSJUt834sbb7yRmTNncsstt9CnTx/y8vL4/vvvycjI4Nhjj6WiooIRI0bgcrm49dZbSUxMZNeuXcyaNYuCggKio6MbVZ+ISA2GiIj4zVtvvWUAxldffWXs3bvX2LFjhzFz5kyjQ4cOhsPhMHbs2OEbe/rppxv9+vUzysvLfds8Ho9xwgknGD169PBtmzhxogEYS5cu9W3LyckxoqOjDcDYunWrYRiG8cknnxiA8fPPPx+yvq1btxqA0b59eyM/P9+3/bPPPjMA43//+59v24MPPmj88f8mTjnlFKNv3741ts2YMcMAjG+++aZef0fVx927d2+t+/ft22cAxkUXXeTbNm7cOCM1NdX3/vbbbzeioqKMqqqqQ56nrrpSU1MNwPjyyy9r3Tdu3Djf++rv6cCBA42Kigrf9qefftoAjM8++8y3DTAefPDBwx6zrtpOOeUU45RTTvG9f+GFFwzAePfdd33bKioqjCFDhhgRERGG0+k0DKNh39va1Pc63W63kZycbPz5z3+u8fnnnnvOMJlMxpYtWw55jupann/++TprqVZ9TW+99ZZvW2lp6UHj/vvf/xqA8e233/q2RUdHGxMmTDjksX/99VcDMGbMmFGvWkREGkPLCEVEmsHw4cPp0KEDnTt35pJLLiE8PJzPP/+c5ORkAPLz81mwYAGXXXYZRUVF5ObmkpubS15eHiNGjGDTpk2+7oVz5sxh8ODBHHfccb7jd+jQgTFjxtQ4Z/W9VLNmzTrsPS9//vOfa8yyVS9z3LJlS5OvvakiIiIA7zKwQ4mJiaGkpKTGUsOGSktLY8SIEfUef/3119eYGbrpppuwWq3MmTOn0TXUx5w5c0hMTGT06NG+bTabjdtuu43i4mIWLVpUY3xTv7eHu06z2cyYMWP4/PPPa3yP3nvvPU444QTS0tIOeWyn0wnQ6FktoMaMbnl5Obm5uQwePBigxhLBmJgYli5dyu7du2s9TvXM1dy5cyktLW10PSIidVHYEhFpBlOmTGH+/PnMnDmTc845h9zc3BqNFzZv3oxhGNx///106NChxqt6GVZOTg4A27dvp0ePHged44/L3k455RRGjRrFww8/TFxcHBdccMEhW6mnpKTUeF/9y/kf70EKhOLiYqDuX8hvvvlmevbsydlnn01ycjLjx4/nyy+/bNB56goFtfnj9yAiIoKkpKRmb99e/f3/Y4fE6mWH27dvr7G9qd/b+lznVVddRVlZGZ988gngXZK5fPlyrrzyyjqPHRUVBdQdpA8nPz+f22+/nYSEBEJDQ+nQoYPve3ngvVZPP/00a9asoXPnzhx33HE89NBDNQJnWload9xxB2+88QZxcXGMGDGCKVOm6H4tEfErhS0RkWZw3HHHMXz4cEaNGsXnn3/OUUcdxRVXXOELEtXNLf72t78xf/78Wl/du3dv0DlNJhMzZ85k8eLF3HLLLezatYvx48czcOBA33mrWSyWWo9hGEYjrta/1qxZA1Dn9cfHx7NixQo+//xzzj//fL755hvOPvtsxo0bV+/z/PGet+bkdrtb7Fwt8b3t06cPAwcO5N133wXg3XffxW63H7bTZu/evQFYvXp1o8992WWX8e9//5sbb7yRjz/+mHnz5vmC9oFNYy677DK2bNnCSy+9RMeOHXnmmWfo27cvX3zxhW/Ms88+y6pVq7j33nspKyvjtttuo2/fvuzcubPR9YmIHEhhS0SkmVksFp588kl2797Nyy+/DEDXrl0B73Kw4cOH1/qqntlJTU1l06ZNBx13w4YNtZ5v8ODBPP744yxbtoz33nuPtWvX8sEHHzTT1dGg5hD18c477wAcdomf3W7nvPPO45VXXuG3337jhhtu4D//+Q+bN29ulrr++D0oLi5mz549NboktmvXjoKCghrjKioq2LNnT41tDamt+vv/x+6T69ev9+33p/pcJ3hntxYsWMCePXt4//33GTlyZI3li7Xp2bMnvXr14rPPPjvoHwDqY9++fXz99df8/e9/5+GHH+aiiy7ijDPO8P339EdJSUncfPPNfPrpp2zdupX27dvz+OOP1xjTr18/7rvvPr799lu+++47du3axdSpUxtcm4hIbRS2RERawLBhwzjuuON44YUXKC8vJz4+nmHDhvHaa68d9Is4wN69e31fn3POOSxZsoSffvqpxv733nuvxmf27dt30OzFgAEDAGpdSugv4eHhAAeFjMZ4//33eeONNxgyZAinn376Icf9sc232Wymf//+wO/X6s+6wNsq/8B74V599VWqqqo4++yzfdu6devGt99+e9Dn/jiz1ZDazjnnHLKysvjwww9926qqqnjppZeIiIjglFNOaczlHFJ9rhNg9OjRmEwmbr/9drZs2cLYsWPrdfyHH36YvLw8rr32Wqqqqg7aP2/ePGbNmlXrZ6tn7f74c/7CCy/UeO92uw9aDhgfH0/Hjh19Px9Op/Og8/fr1w+z2dys/72IyJFFrd9FRFrInXfeyaWXXsr06dO58cYbmTJlCieeeCL9+vXjuuuuo2vXrmRnZ7N48WJ27tzJypUrAbjrrrt45513OOuss7j99tt9rd9TU1NZtWqV7/hvv/02r7zyChdddBHdunWjqKiIf//730RFRXHOOec023UNGDAAi8XCU089RWFhIQ6Hg9NOO434+Pg6Pzdz5kwiIiKoqKhg165dzJ07lx9++IGjjz6aGTNm1PnZa6+9lvz8fE477TSSk5PZvn07L730EgMGDPDdy9TYug6loqKC008/ncsuu4wNGzbwyiuvcOKJJ3L++efXqOvGG29k1KhRnHHGGaxcuZK5c+fWeHhzQ2u7/vrree2117j66qtZvnw5Xbp0YebMmfzwww+88MILTWo20djrBG+TlrPOOosZM2YQExPDyJEj63X8P//5z6xevZrHH3+cX3/9ldGjR5OamkpeXh5ffvklX3/9Ne+//36tn42KiuLkk0/m6aefprKykk6dOjFv3jy2bt1aY1xRURHJyclccsklHH300URERPDVV1/x888/8+yzzwKwYMECbrnlFi699FJ69uxJVVUV77zzDhaLhVGjRjXib05EpBYB7YUoItLGVLfPrq39utvtNrp162Z069bN17L8t99+M6666iojMTHRsNlsRqdOnYxzzz3XmDlzZo3Prlq1yjjllFOMkJAQo1OnTsajjz5qTJs2rUbr919++cUYPXq0kZKSYjgcDiM+Pt4499xzjWXLlvmOU91K+5lnnjmoPv7Qtry+rd8NwzD+/e9/G127djUsFsth28BXH7f6FRISYiQnJxvnnnuu8eabb9ZohV/tj63fZ86caZx55plGfHy8YbfbjZSUFOOGG24w9uzZU6+6UlNTjZEjR9Za36Favy9atMi4/vrrjXbt2hkRERHGmDFjjLy8vBqfdbvdxt13323ExcUZYWFhxogRI4zNmzcfdMy6avtj63fDMIzs7GzjL3/5ixEXF2fY7XajX79+NdqhG0bDvre1ach1Vvvoo48MwLj++uvrPHZtvv76a+OCCy4w4uPjDavVanTo0ME477zzarTSr631+86dO42LLrrIiImJMaKjo41LL73U2L17d41rdLlcxp133mkcffTRRmRkpBEeHm4cffTRxiuvvOI7zpYtW4zx48cb3bp1M0JCQozY2Fjj1FNPNb766qsGX4uIyKGYDKMV3A0tIiIiQeezzz7jwgsv5Ntvv/W1mBcRkd8pbImIiEijnHvuuWRkZLB582a/NyQREWkLdM+WiIiINMgHH3zAqlWrmD17NpMnT1bQEhE5BM1siYiISIOYTCYiIiL485//zNSpU7Fa9W+3IiK10f86ioiISIPo32lFROpHz9kSERERERFpBgpbIiIiIiIizUDLCOvB4/Gwe/duIiMjdROwiIiIiMgRzDAMioqK6NixI2Zz3XNXClv1sHv3bjp37hzoMkREREREpJXYsWMHycnJdY5R2KqHyMhIwPsXGhUVFeBqREREREQkUJxOJ507d/ZlhLoobNVD9dLBqKgohS0REREREanX7UUBb5Cxa9cuxo4dS/v27QkNDaVfv34sW7bMt98wDB544AGSkpIIDQ1l+PDhbNq0qcYx8vPzGTNmDFFRUcTExHDNNddQXFxcY8yqVas46aSTCAkJoXPnzjz99NMtcn0iIiIiInJkCmjY2rdvH0OHDsVms/HFF1+wbt06nn32Wdq1a+cb8/TTT/Piiy8ydepUli5dSnh4OCNGjKC8vNw3ZsyYMaxdu5b58+cza9Ysvv32W66//nrffqfTyZlnnklqairLly/nmWee4aGHHuL1119v0esVEREREZEjh8kI4JMJ//73v/PDDz/w3Xff1brfMAw6duzIX//6V/72t78BUFhYSEJCAtOnT+fyyy8nIyODPn368PPPPzNo0CAAvvzyS8455xx27txJx44defXVV/nHP/5BVlYWdrvdd+5PP/2U9evXH7ZOp9NJdHQ0hYWFWkYoIiIiInIEa0g2COg9W59//jkjRozg0ksvZdGiRXTq1Imbb76Z6667DoCtW7eSlZXF8OHDfZ+Jjo7m+OOPZ/HixVx++eUsXryYmJgYX9ACGD58OGazmaVLl3LRRRexePFiTj75ZF/QAhgxYgRPPfUU+/btqzGTBuByuXC5XL73Tqezuf4KREREROQI5Xa7qaysDHQZUgubzYbFYmnycQIatrZs2cKrr77KHXfcwb333svPP//Mbbfdht1uZ9y4cWRlZQGQkJBQ43MJCQm+fVlZWcTHx9fYb7VaiY2NrTEmLS3toGNU7/tj2HryySd5+OGH/XehIiIiIiIHKC4uZufOnQRwkZnUwWQykZycTERERJOOE9Cw5fF4GDRoEE888QQAxxxzDGvWrGHq1KmMGzcuYHXdc8893HHHHb731e0dRURERESayu12s3PnTsLCwujQoUO9utpJyzEMg71797Jz50569OjRpBmugIatpKQk+vTpU2Nbeno6//d//wdAYmIiANnZ2SQlJfnGZGdnM2DAAN+YnJycGseoqqoiPz/f9/nExESys7NrjKl+Xz3mQA6HA4fD0YQrExERERGpXWVlJYZh0KFDB0JDQwNdjtSiQ4cObNu2jcrKyiaFrYB2Ixw6dCgbNmyosW3jxo2kpqYCkJaWRmJiIl9//bVvv9PpZOnSpQwZMgSAIUOGUFBQwPLly31jFixYgMfj4fjjj/eN+fbbb2usiZ0/fz69evU6aAmhiIiIiEhL0IxW6+Wv701Aw9akSZNYsmQJTzzxBJs3b+b999/n9ddfZ8KECYD3IidOnMhjjz3G559/zurVq7nqqqvo2LEjF154IeCdCTvrrLO47rrr+Omnn/jhhx+45ZZbuPzyy+nYsSMAV1xxBXa7nWuuuYa1a9fy4YcfMnny5BpLBUVERERERPwpoMsI//SnP/HJJ59wzz338Mgjj5CWlsYLL7zAmDFjfGPuuusuSkpKuP766ykoKODEE0/kyy+/JCQkxDfmvffe45ZbbuH000/HbDYzatQoXnzxRd/+6Oho5s2bx4QJExg4cCBxcXE88MADNZ7FJSIiIiIi4k8Bfc5WsNBztkRERETEX8rLy9m6dStpaWk1JhAyMzPJzc1tsTri4uJISUlpsfMFk0N9jyCInrMlIiIiIiLeoNU7PZ2y0tIWO2doWBjrMzIaHLiysrJ48sknmT17Njt37iQ6Opru3bszduxYxo0bR1hYmG/sk08+yX333cc///lP7rzzzhrHmT59OhMnTqSgoOCw5+zduzdbt25l+/btNRrclZSU0L9/fy644AKee+453/Zt27bRv39/nn32WUJCQrjxxhtZuXIl3bt3943ZvXs3ffv25dFHH+WWW25p0N9BfSlsiYiIiIgEWG5uLmWlpYy5+xkSUro1+/myM3/jvafuJDc3t0Fha8uWLQwdOpSYmBieeOIJ+vXrh8PhYPXq1bz++ut06tSJ888/3zf+zTff5K677uLNN988KGzV1/fff09ZWRmXXHIJb7/9NnfffbdvX3h4OG+99Rann346F110ESeddBKGYfCXv/yFoUOHct111wHwySefcPXVV/Ptt99iNnvbVlx33XUMHDjQ1y+iOShsiYiIiIi0Egkp3Uju0TfQZRzSzTffjNVqZdmyZYSHh/u2d+3alQsuuKDGQ5oXLVpEWVkZjzzyCP/5z3/48ccfOeGEExp8zmnTpnHFFVdwyimncPvtt9cIWwAnn3wyt956K3/5y19YuXIl//73v1mxYgVr1qzxjXnttdfo27cvzz33HH/729+YPn06P/zwA6tXr27WrpAB7UYoIiIiIiLBIS8vz9d07sCgdaADg8u0adMYPXo0NpuN0aNHM23atAafs6ioiBkzZjB27FjOOOMMCgsL+e677w4a9/jjj2O1Whk7diz33nsvL730Ep06dfLt79ChA6+//jr3338/8+fPZ9KkSUyePJnOnTs3uKaGUNgSEREREZHD2rx5M4Zh0KtXrxrb4+LiiIiIICIiwjfr5HQ6mTlzJmPHjgVg7NixfPTRRxQXFzfonB988AE9evSgb9++WCwWLr/88lpDW2hoKJMnT+bTTz9l2LBhvvMe6MILL+Syyy7jrLPO4pRTTmHcuHENqqUxFLZERERERKTRfvrpJ1asWEHfvn1xuVwA/Pe//6Vbt24cffTRAAwYMIDU1FQ+/PDDBh37zTffrBGcxo4dy4wZMygqKjpo7LRp0wgLC2P16tUUFhbWerz7778fj8fDfffd16A6GkthK0jtKd6Dx/AEugwREREROUJ0794dk8nEhg0bamzv2rUr3bt3JzQ01Ldt2rRprF27FqvV6nutW7eON998s97nW7duHUuWLOGuu+7yHWPw4MGUlpbywQcf1Bj74YcfMmvWLH788UciIyOZNGlSrce0Wq01/mxuCltBaPaW2Zz5f2dyz3f3BLoUERERETlCtG/fnjPOOIOXX36ZkpKSQ45bvXo1y5YtY+HChaxYscL3WrhwIYsXL2b9+vX1Ot+0adM4+eSTWblyZY3j3HHHHTWWEmZnZzNhwgQee+wxjj76aKZPn85//vMfvvjiiyZfc1OpG2EQem3VawDM2TqHp05+KsDViIiIiIi/ZGf+1qrP88orrzB06FAGDRrEQw89RP/+/TGbzfz888+sX7+egQMHMm3aNI477jhOPvnkgz7/pz/9iWnTpvHMM88A4Ha7WbFiRY0xDoeD7t2788477/DII49w1FFH1dh/7bXX8txzz7F27Vr69u3L9ddfT3p6OhMnTgTguOOO48477+T6669nzZo1REdHN+pa/UFhS0REREQkwOLi4ggNC+O9pxr3LKrGCA0LIy4urkGf6datG7/++itPPPEE99xzDzt37sThcNCnTx/+9re/cf3119O1a9eD2rNXGzVqFM8++yxPPPEEAMXFxRxzzDEHneOpp54iLy+Piy666KBjpKenk56ezrRp0xgwYABfffUVK1eu9D0/C+Dhhx9m1qxZTJo0qUFLF/3NZBzYDF9q5XQ6iY6OprCwkKioqECXw/mfns/Wwq0ArB63OsDViIiIiEhDlJeXs3XrVtLS0ggJCfFtz8zMJDc3t8XqiIuLa9ADjY8kh/oeQcOygWa2RERERERagZSUFIWfNkYNMkRERERERJqBwpaIiIiIiEgzUNgSERERERFpBgpbIiIiIiIizUBhS0REREREpBkobImIiIiIiDQDhS0REREREZFmoOdsiYiIiIi0AnqocdujsCUiIiIiEmCZmZmkp/emtLSsxc4ZFhZKRsZ6Ba5mpLAlIiIiIhJgubm5lJaW8e69l5Ge0qHZz5eRuZexT3xEbm5ug8PWjh07ePDBB/nyyy/Jzc0lKSmJCy+8kAceeID27dsDsHXrVv7xj3+wcOFC8vPziYuLY+DAgTz11FP07t3bd6xZs2bxzDPP8Msvv+B2u+nbty8TJkzg6quv9uflBozCloiIiIhIK5Ge0oFje3YKdBmHtGXLFoYMGULPnj3573//S1paGmvXruXOO+/kiy++YMmSJURGRnLGGWfQq1cvPv74Y5KSkti5cydffPEFBQUFvmO99NJLTJw4kbvvvptXX30Vu93OZ599xo033siaNWv417/+FbgL9ROFLRERERERqZcJEyZgt9uZN28eoaGhAKSkpHDMMcfQrVs3/vGPf3DDDTfw22+/8fXXX5OamgpAamoqQ4cO9R1nx44d/PWvf2XixIk88cQTvu1//etfsdvt3HbbbVx66aUcf/zxLXuBfqZuhCIiIiIiclj5+fnMnTuXm2++2Re0qiUmJjJmzBg+/PBDOnTogNlsZubMmbjd7lqPNXPmTCorK/nb3/520L4bbriBiIgI/vvf/zbLdbQkhS0RERERETmsTZs2YRgG6enpte5PT09n37592Gw2XnzxRR544AHatWvHaaedxqOPPsqWLVt8Yzdu3Eh0dDRJSUkHHcdut9O1a1c2btzYbNfSUhS2RERERESk3gzDqHO/3W5nwoQJZGVl8d577zFkyBBmzJhB3759mT9/fgtV2ToobImIiIiIyGF1794dk8lERkZGrfszMjLo0KEDMTExAERGRnLeeefx+OOPs3LlSk466SQee+wxAHr27ElhYSG7d+8+6DgVFRX89ttv9OzZs9mupaUobAUhE6ZAlyAiIiIiR5j27dtzxhln8Morr1BWVvN5YNWzWIdq2W4ymejduzclJSUAjBo1CpvNxrPPPnvQ2KlTp1JSUsLo0aP9fg0tTd0IRURERERaiYzMva36PC+//DInnHACI0aM4LHHHqvR+r1nz5488MADrFixggcffJArr7ySPn36YLfbWbRoEW+++SZ333034O1g+PTTT/PXv/6VkJAQrrzySmw2G5999hn33nsvf/3rX4O+EyEobImIiIiIBFxcXBxhYaGMfeKjFjtnWFgocXFxDfpMjx49+Pnnn3nooYe47LLLyMnJwTAMLr74Yt555x3CwsJITk6mS5cuPPzww2zbtg2TyeR7P2nSJN+xJk6cSNeuXfnXv/7F5MmTfQ81fvXVV/nLX/7i78sNCIUtEREREZEAS0lJISNjPbm5uS12zri4OFJSUhr8uS5dujB9+nTf+wcffJDnnnuOVatWMXjwYOLi4pg8eXK9jnX++edz/vnnN7iGYKGwJSIiIiLSCqSkpDQq/ATaww8/TJcuXViyZAnHHXccZrPaQlRT2BIRERERkSZpK8v+/E2xU0REREREpBkobImIiIiIiDQDhS0REREREZFmoLAlIiIiIiLSDBS2REREREREmoHCloiIiIiISDNQ2BIREREREWkGes6WiIiIiEgr8MqKV1r0fDcPuLlFz3ck0syWiIiIiIjUy969e7nppptISUnB4XCQmJjIiBEjePzxxzGZTHW+Fi5cCMDOnTux2+0cddRRtZ7jwM9ERUXxpz/9ic8++6wFr9J/FLaCkIER6BJERERE5Ag0atQofv31V95++202btzI559/zrBhw+jXrx979uzxvS677DLOOuusGttOOOEEAKZPn85ll12G0+lk6dKltZ7nrbfeYs+ePSxbtoyhQ4dyySWXsHr16pa8VL/QMkIRERERETmsgoICvvvuOxYuXMgpp5wCQGpqKscdd9xBY0NDQ3G5XCQmJtbYbhgGb731Fq+88grJyclMmzaN448//qDPx8TEkJiYSGJiIo8++iiTJ0/mm2++oV+/fs1zcc1EM1siIiIiInJYERERRERE8Omnn+JyuRp1jG+++YbS0lKGDx/O2LFj+eCDDygpKTnk+KqqKqZNmwaA3W5v1DkDSWFLREREREQOy2q1Mn36dN5++21iYmIYOnQo9957L6tWrar3MaZNm8bll1+OxWLhqKOOomvXrsyYMeOgcaNHjyYiIgKHw8GkSZPo0qULl112mT8vp0UobImIiIiISL2MGjWK3bt38/nnn3PWWWexcOFCjj32WKZPn37YzxYUFPDxxx8zduxY37axY8f6Zq4O9Pzzz7NixQq++OIL+vTpwxtvvEFsbKw/L6VF6J6tIGTCFOgSREREROQIFRISwhlnnMEZZ5zB/fffz7XXXsuDDz7I1VdfXefn3n//fcrLy2vco2UYBh6Ph40bN9KzZ0/f9sTERLp370737t156623OOecc1i3bh3x8fHNdVnNQjNbIiIiIiLSaH369Knzvqtq06ZN469//SsrVqzwvVauXMlJJ53Em2++ecjPHXfccQwcOJDHH3/cn2W3CIUtERERERE5rLy8PE477TTeffddVq1axdatW5kxYwZPP/00F1xwQZ2fXbFiBb/88gvXXnstRx11VI3X6NGjefvtt6mqqjrk5ydOnMhrr73Grl27/H1ZzUrLCEVEREREWoGbB9wc6BLqFBERwfHHH8/zzz/Pb7/9RmVlJZ07d+a6667j3nvvrfOz06ZNo0+fPvTu3fugfRdddBG33HILc+bM4fzzz6/182eddRZpaWk8/vjjvPLKK365npYQ0Jmthx566KAnSx/4DSgvL2fChAm0b9+eiIgIRo0aRXZ2do1jZGZmMnLkSMLCwoiPj+fOO+88KBVX37jncDjo3r17vW7gExERERGR3zkcDp588kmWL19OQUEBJSUlrF+/nkcffZTQ0NAaY6dPn86nn37qe//SSy+xdu3aWo+bmJiI2+32BS3DMLjwwgtrjDGZTGRkZARV0IJWsIywb9++NZ4s/f333/v2TZo0if/973/MmDGDRYsWsXv3bi6++GLffrfbzciRI6moqODHH3/k7bffZvr06TzwwAO+MVu3bmXkyJGceuqprFixgokTJ3Lttdcyd+7cFr1OERERERE5sgR8GaHVaj3oydIAhYWFTJs2jffff5/TTjsNgLfeeov09HSWLFnC4MGDmTdvHuvWreOrr74iISGBAQMG8Oijj3L33Xfz0EMPYbfbmTp1KmlpaTz77LMApKen8/333/P8888zYsSIFr1WERERERE5cgR8ZmvTpk107NiRrl27MmbMGDIzMwFYvnw5lZWVDB8+3De2d+/epKSksHjxYgAWL15Mv379SEhI8I0ZMWIETqfTN025ePHiGseoHlN9jNq4XC6cTmeNl4iIiIiISEMENGwdf/zxTJ8+nS+//JJXX32VrVu3ctJJJ1FUVERWVhZ2u52YmJgan0lISCArKwuArKysGkGren/1vrrGOJ1OysrKaq3rySefJDo62vfq3LmzPy5XRERERESOIAFdRnj22Wf7vu7fvz/HH388qampfPTRRwfdZNeS7rnnHu644w7fe6fTqcAlIiIiIn5lGEagS5BD8Nf3JuDLCA8UExNDz5492bx5M4mJiVRUVFBQUFBjTHZ2tu8er8TExIO6E1a/P9yYqKioQwY6h8NBVFRUjZeIiIiIiD9YLBYAKioqAlyJHEr196b6e9VYAW+QcaDi4mJ+++03rrzySgYOHIjNZuPrr79m1KhRAGzYsIHMzEyGDBkCwJAhQ3j88cfJyckhPj4egPnz5xMVFUWfPn18Y+bMmVPjPPPnz/cdQ0RERESkJVmtVsLCwti7dy82mw2zuVXNfxzxPB4Pe/fuJSwsDKu1aXEpoGHrb3/7G+eddx6pqans3r2bBx98EIvFwujRo4mOjuaaa67hjjvuIDY2lqioKG699VaGDBnC4MGDATjzzDPp06cPV155JU8//TRZWVncd999TJgwAYfDAcCNN97Iyy+/zF133cX48eNZsGABH330EbNnzw7kpYuIiIjIEcpkMpGUlMTWrVvZvn17oMuRWpjNZlJSUjCZTE06TkDD1s6dOxk9ejR5eXl06NCBE088kSVLltChQwcAnn/+ecxmM6NGjcLlcjFixIgaDzKzWCzMmjWLm266iSFDhhAeHs64ceN45JFHfGPS0tKYPXs2kyZNYvLkySQnJ/PGG2+o7buIiIiIBIzdbqdHjx5aSthK2e12v8w4mgzdmXdYTqeT6OhoCgsLW8X9Wxd8egFbCrcAsHrc6gBXIyIiIiJy5GhINtACURERERERkWagsCUiIiIiItIMFLZERERERESagcKWiIiIiIhIM1DYEhERERERaQYKW0HIRNP6/YuIiIiISPNT2BIREREREWkGClsiIiIiIiLNQGFLRERERESkGShsiYiIiIiINAOFLRERERERkWagsCUiIiIiItIMFLZERERERESagcKWiIiIiIhIM7AGugBpHpmZmeTm5vrex8XFkZKSEsCKRERERESOLApbQcjAqHN/ZmYmvdPTKSst9W0LDQtjfUZGqw1cCociIiIi0tYobLVBubm5lJWWMubuZ0hI6UZ25m+899Sd5ObmtsoAE4zhUERERETkcBS22rCElG4k9+gb6DIOK9jCoYiIiIhIfShsSasRLOFQRERERKQ+1I1QRERERESkGShsiYiIiIiINAOFLRERERERkWagsCUiIiIiItIMFLakVYg4egRL9lopq3QHuhQREREREb9Q2JKAyympov1Zt7KrzMzXGdkYdT+zWUREREQkKChsBSETpkCX4Fcz1xX7vv5tbwl5FW3r+kRERETkyKSwJQG3bI8LALvZO6W1t1xhS0RERESCn8KWBFRusYuCcg+G4aFnpPd+rTyXfixFREREJPjpt1oJqPV7igCo2reH+FDvzFa+ywRtbKmkiIiIiBx5FLYkoNZnOQGo2LuNaJuBzWKi0jBhi0sJcGUiIiIiIk2jsCUBlbF/ZqsyZytmE3SIdABg69AlgFWJiIiIiDSdNdAFyJEpMzOT3Nxcft26F4CKvdsBaBdmZ3dBObbYToEsT0RERESkyTSzJS0uMzOT3unpDBw4kE278gCo2reb4uJi2oXZAbDFdgxkiSIiIiIiTaawJS0uNzeXstJSLr/7X1jCogFwF+VSXl5OTJgNAGs7hS0RERERCW4KWxIwUUldATDjweMqASAm1Bu2bLGdMAwjYLWJiIiIiDSV7tlqo0xWO7/kWyjJKiI80MUcQpnb297dTqVvW3SoDTAwO8IpdHkCVJmIiIiISNMpbLVRYT1PYGuxha1rsxjQrnVOYFaHLQdVvm1Wi5kwC5S6YXeRO1CliYiIiIg0Wev8LVyazJ7Uw/f1piJLACs5tLL9Wcp+QNgCCLd6lw/mlFT98SMiIiIiIkFDYauNsif+HrZKqsBkcwSwmtqVVVXPbFXW2B62P2zllmpmS0RERESCl8JWG+T2GNgTuh6wxYStfUrA6jmU3+/ZqjmDFbZ/Ii63VPdsiYiIiEjwUthqg3Y4qzDbQrCaDJLbhQJg69AlsEXVonoZ4R9ntkI1syUiIiIibYDCVhu0q8g7UxRtM4iL8C4ftHdIDWRJtXIdcmZrf9gqU9gSERERkeClsNUGFZR7l9+FWKB9hB0AW2sMW/tXCdqoGao0syUiIiIibYFav7dBhfvDlsNi0C7MG7as0QlkZGT4xsTFxZGSErj7uExWB27DO7Nl/UPYqr5nq7TSwFleSVSIraXLExERERFpMoWtNqig3BteQiwGEQ7vt9gSEcvYsZf4xoSGhbE+IyNggcscGun90wQWo2YjDKsZ3GVFWEIj2VNQTlSiwpaIiIiIBB8tIwxCJpOpzv0F+9fnOcwQbvdOE5ltIZx14wPcMeVjxtz9DGWlpeTm5jZ7rYdiDo0CINRmobarcTv3ArC7sKwFqxIRERER8R/NbLVBBy4jtFrMWKmiCivhCV1I7tE3wNV5WcK8YSvEboGKg/dXFedhT+hKjrO8hSsTEREREfEPha02qND1e4MM8Hb7q8KKy7AEsKqaDpzZqo27OB+AFRu20sOSG/B7zEREREREGkrLCNsYwzB892w59rdQr26tXmG0nm+3pY6w5czfi7tkHwCv/+cDBg4cSO/0dDIzM1u0RhERERGRpmg9v32LX5RWuKnY39wvZP939/ew1YpmtsIOHbbKip2+ma1eQ89pFfeYiYiIiIg0lJYRtjG5xS4APBXlWM3etFUdtlytamYrGth/z1Yt3MXemS2PLYyEDt1arC4REREREX9pPb99S70ZhnHIfdVhy11a4NvmCLKZLQB3iXdmq6SiqsVqEhERERHxp1YTtv75z39iMpmYOHGib1t5eTkTJkygffv2REREMGrUKLKzs2t8LjMzk5EjRxIWFkZ8fDx33nknVVU1f0FfuHAhxx57LA6Hg+7duzN9+vQWuKLAyC32tvbzHBC27FQCtKoGGXXdswW/N8godbmpI1uKiIiIiLRarSJs/fzzz7z22mv079+/xvZJkybxv//9jxkzZrBo0SJ2797NxRdf7NvvdrsZOXIkFRUV/Pjjj7z99ttMnz6dBx54wDdm69atjBw5klNPPZUVK1YwceJErr32WubOndti19eSnGXeYOUpL/Zts+G9iauyFS0jrO5GGGKrvabqBhluw6DCU+sQEREREZFWLeC/fRcXFzNmzBj+/e9/065dO9/2wsJCpk2bxnPPPcdpp53GwIEDeeutt/jxxx9ZsmQJAPPmzWPdunW8++67DBgwgLPPPptHH32UKVOmUFHhneGZOnUqaWlpPPvss6Snp3PLLbdwySWX8Pzzzwfkeptbscs7q+dxlfq2tc6wFQlAyCFmtnBXYcWbssrddT/EWURERESkNQr4b98TJkxg5MiRDB8+vMb25cuXU1lZWWN77969SUlJYfHixQAsXryYfv36kZCQ4BszYsQInE4na9eu9Y3547FHjBjhO0ZtXC4XTqezxitYFJUfHLas+8OWGzNuT+tYk2d2hAN1hC3AbvLWvb+TvYiIiIhIUAloN8IPPviAX375hZ9//vmgfVlZWdjtdmJiYmpsT0hIICsryzfmwKBVvb96X11jnE4nZWVlhIaGHnTuJ598kocffrjR1xVIvpmtipphy/C4MZktlFcGPrlUeQzMdu/fu8N66LxvN3koNaDco5ktEREREQk+AZvZ2rFjB7fffjvvvfceISEhgSqjVvfccw+FhYW+144dOwJdUr0VlXvv2TIOmNky8fs9XK0hbJUccBOWvc6w5a3VFfiSRUREREQaLGBha/ny5eTk5HDsscditVqxWq0sWrSIF198EavVSkJCAhUVFRQUFNT4XHZ2NomJiQAkJiYe1J2w+v3hxkRFRdU6qwXgcDiIioqq8QoWtS0jBPCUeZdClrWGsFXpXcpoNRmYTYeetbKZvKGsQjNbIiIiIhKEAha2Tj/9dFavXs2KFSt8r0GDBjFmzBjf1zabja+//tr3mQ0bNpCZmcmQIUMAGDJkCKtXryYnJ8c3Zv78+URFRdGnTx/fmAOPUT2m+hhtze9hq6TGdndZEQDllYFv7Vc9s2U/zE9fddjSzJaIiIiIBKOA3bMVGRnJUUcdVWNbeHg47du3922/5ppruOOOO4iNjSUqKopbb72VIUOGMHjwYADOPPNM+vTpw5VXXsnTTz9NVlYW9913HxMmTMDhcABw44038vLLL3PXXXcxfvx4FixYwEcffcTs2bNb9oJbSG33bEHNma1AL9qsntmymetu1mE3qRuhiIiIiASvgDbIOJznn38es9nMqFGjcLlcjBgxgldeecW332KxMGvWLG666SaGDBlCeHg448aN45FHHvGNSUtLY/bs2UyaNInJkyeTnJzMG2+8wYgRIwJxSc2ueP/MlnHQMsLqma3ATxOV7J9dO8QjtnxsVC8jbO6KRERERET8r1WFrYULF9Z4HxISwpQpU5gyZcohP5OamsqcOXPqPO6wYcP49ddf/VFiq1fdIOOP92y5W9E9W8UV9QxbvtbvmtkSERERkeAT8OdsiX8VuWq/Z6t6GWGrmNmq8C4ftNdzGaFLM1siIiIiEoQUttoQj8eo454t7zLCsorAh63S+i4j3B+23IYJk9XR3GWJiIiIiPiVwlYQMh2iXXpppRtj/2SR4Sqrsc/tm9kK/DRRcUX9GmRYMLCYvddqDgue9vsiIiIiIqCw1aZU369lMYFR5aqxr1U2yDjMrVgmE4TaLABYwmKauSoREREREf9S2GpDqjsRhtaSYjzlxQC4qgI/s1Xd+v1wz9kCCLN7w5Y5LLo5SxIRERER8TuFrTbEuT9shddyM1R1w4yKKo9vqWGglPi6ER6+kFB79cyWwpaIiIiIBBeFrTakujlGrTNb+8OW2zBwBzps1bNBBmgZoYiIiIgEL4WtNqR6GWGY9eBvq1FRBnhTVqB7ZJQ2ahmhGmSIiIiISHBR2GpDSiq8YSvEWnvnCWt12ArwzFZ163drg5YRxjRnSSIiIiIifqew1YZUP0PLcaiwtf+5VZWew7QBbEaVbg/Vj/o6XDdCOGAZYbju2RIRERGR4KKw1YaU7k8xh57Z8oatigAuIyzZf18ZQC2rHQ8SZrcCYA5V2BIRERGR4KKw1YaU7V9G6LAcamar+p6twM1sFe2/r8xTWY65PjNbds1siYiIiEhwUthqQw47s+VbRthiJR2kumOi4Sqr1/iwA7oRGoHuWS8iIiIi0gAKW21IaeVh7tmi9YSt6lb0h1M9s2Wy2imvUtgSERERkeChsNWG+BpktOplhJUAeCpK6zXeZjFj2V93oSvAPetFRERERBpAYasNKT1c63dT4Btk+O7ZqucyQgDH/p/SwnKFLREREREJHgpbbUjp4Vq/E/jW7757tuo5swXgsGhmS0RERESCj8JWG1J22AYZgX+ocbFvZqsBYWv/T6lTYUtEREREgojCVhtSeth7tlpRg4xGzGwpbImIiIhIMFHYakPKKqtntmr/tlrwhpaKVvCcLaMBM1v2/ZdTFMibzUREREREGkhhq43IzMyksMTbdGL3jm21jqme2aoKtpktszckFmlmS0RERESCiMJWG5CZmUnv9HRy9zkB+MfdfwOguLi4xjgr1a3fW7a+AzXmnq39j9rCqZktEREREQkiClttQG5uLmWlpVhCwgEYdsEYAMrLy2uMq57Z8mACi7Vli9yvyLX/OVsNWkaomS0RERERCT4KW22FxYqB916s9vEJtQ/h9zaEZkd4i5T1R9UzWw1q/a5uhCIiIiIShBS22gizLeT3r6k9lJhMYNvfqTBQYavI1ZhlhPtntrSMUERERESCiMJWG2HaH7bMprq/qQ6r9wYosz20Bao6mO+erUbMbBVXGFS5FbhEREREJDgobLUR1WHLZqn7W2rf3xY+YMsIXY1r/W4Y3pBVUFbZLHWJiIiIiPibwlYbYbY5gHqErf37TQEIW26P4XvwsqeirN6fM5nAU+7trLivpKJZahMRERER8TeFrTaiembLaqn7gcUO38xWWLPX9EfVs1rQsHu2ADyl3rb2+QpbIiIiIhIkFLbaCJO9ocsIAxe27BbAU1X34D9wl3nD1r5ShS0RERERCQ4KW21EdTdCm7m+M1stv4ywujlGqLXhP3aesuqZLd2zJSIiIiLBQWGrjTBZvfdsWes5s2UKwMxWUbk3KIXZ6g6EtfFoZktEREREgozCVhthstoBsB5mZiuQ3Qirn7EV2oiw5d5/z5YaZIiIiIhIsFDYaiNMtv1h67ANMgL3nK3qZYRhTVlGqJktEREREQkSjQpbXbt2JS8v76DtBQUFdO3atclFScP5lhGaW+9ztoqbMrO1P2xt25PLL7/8QmZmpl9rExERERHxt0aFrW3btuF2uw/a7nK52LVrV5OLkoar9zJCS+AbZITZGvZj58zf62v9vnj5KgYOHEjv9HQFLhERERFp1awNGfz555/7vp47dy7R0dG+9263m6+//pouXbr4rTipP1/YqudztgLSIKN6ZsvasJmtsmInnnJv2IpN6cnpdz/De0/dSW5uLikpKX6vU0RERETEHxoUti688EIATCYT48aNq7HPZrPRpUsXnn32Wb8VJ/XX8GWEAXjOlm9mq/ENMioNCwkp3fxal4iIiIhIc2hQ2PJ4PACkpaXx888/ExcX1yxFScOZ9zfIsNRzZstsD8RDjatbvze+QUaF24PH8GtZIiIiIiLNokFhq9rWrVv9XYc00YH3bNWVRQ6c2XK3cGopKm98gwxPeQlgACZcHv/WJSIiIiLSHBoVtgC+/vprvv76a3JycnwzXtXefPPNJhcmDfP7MkITlXWMsx/Qdr2sqmXDVnU3wsYsIwQDGx4qsVDhbsznRURERERaVqPC1sMPP8wjjzzCoEGDSEpKwmTSL7+B9nuDDHOdYctqNmPGwIOJ0sqWnSLyzWw14jlbADaTh0rDQoVmtkREREQkCDQqbE2dOpXp06dz5ZVX+rseaaT6tn4HsJnB5YHSymCa2fKGLQy0jFBEREREgkKjphgqKio44YQT/F2LNMGBywgPp3piqcXDlu+ercbPbAFaRigiIiIiQaFRv/Vee+21vP/++/6uRZrAZPt9GeHh2MzekNXSywh9M1sNfM5WNRveejWzJSIiIiLBoFHLCMvLy3n99df56quv6N+/Pzabrcb+5557zi/FSf01aBnh/iEtObPl8RhNXkZorZ7Z8mhmS0RERERav0aFrVWrVjFgwAAA1qxZU2OfmmUERkOWEdp8ywhbboqopKLK93VjnrMFvy8jdLn9UpKIiIiISLNqVNj65ptv/F2HNNGB3QgP5/dlhC03s1XdidBuMWM7zIOXD8WmmS0RERERCSKNm2KQVqchywitvmWELTezVb2EMCKk0Y92+31mS/dsiYiIiEgQaNRvvqeeemqdywUXLFjQ6IKk4QzDwGzzLiO0NGgZYcvPbEU4mhC2UDdCEREREQkejfrNt/p+rWqVlZWsWLGCNWvWMG7cOH/UJQ1QccA9TNZ6LNELRDdC38xWU8KWZrZEREREJIg06jff559/vtbtDz30EMXFxU0qSBquwv37DJXVXJ97trx/tuTM1radWd4vqsrJyMhs1DGqw5bbMIHFdpjRIiIiIiKB5dd7tsaOHcubb75Z7/Gvvvoq/fv3JyoqiqioKIYMGcIXX3zh219eXs6ECRNo3749ERERjBo1iuzs7BrHyMzMZOTIkYSFhREfH8+dd95JVVVVjTELFy7k2GOPxeFw0L17d6ZPn96k62xtqsOWCaN+ywir79mqapmwlZmZyaS77wFg2eLvGTt2LECDg7kFg+rLs4RG+bVGERERERF/82vYWrx4MSEhIfUen5yczD//+U+WL1/OsmXLOO2007jgggtYu3YtAJMmTeJ///sfM2bMYNGiRezevZuLL77Y93m3283IkSOpqKjgxx9/5O2332b69Ok88MADvjFbt25l5MiRnHrqqaxYsYKJEydy7bXXMnfuXP9deIBVh636NvmztvAywtzcXKr2T6L26j+Qs8fdDnjDdEOYTBBiswBgVtgSERERkVauUcsIDww84G3QsGfPHpYtW8b9999f7+Ocd955Nd4//vjjvPrqqyxZsoTk5GSmTZvG+++/z2mnnQbAW2+9RXp6OkuWLGHw4MHMmzePdevW8dVXX5GQkMCAAQN49NFHufvuu3nooYew2+1MnTqVtLQ0nn32WQDS09P5/vvvef755xkxYkRjLr/VaWjYCsQyQrMjDICYdrFEJyY3+jihNgulFW4sYQpbIiIiItK6NWpmKzo6usYrNjaWYcOGMWfOHB588MFGFeJ2u/nggw8oKSlhyJAhLF++nMrKSoYPH+4b07t3b1JSUli8eDHgnUnr168fCQkJvjEjRozA6XT6ZscWL15c4xjVY6qPURuXy4XT6azxas0aHrZavkGG2REOgN3atMnUUM1siYiIiEiQaNTM1ltvveW3AlavXs2QIUMoLy8nIiKCTz75hD59+rBixQrsdjsxMTE1xickJJCV5W22kJWVVSNoVe+v3lfXGKfTSVlZGaGhoQfV9OSTT/Lwww/76xKbXYPDlu85WwaGYdTZxt9fTHbv33NTw5aWEYqIiIhIsGh8H25g+fLlZGRkANC3b1+OOeaYBh+jV69erFixgsLCQmbOnMm4ceNYtGhRU8pqsnvuuYc77rjD997pdNK5c+cAVlQ3ly9s1W9ZYPUyQo8BZZVuwuxN+jGol+plhA6LmarDjK1LiN1bvJYRioiIiEhr16jfsnNycrj88stZuHChb+apoKCAU089lQ8++IAOHTrU+1h2u53u3bsDMHDgQH7++WcmT57Mn//8ZyoqKigoKKgxu5WdnU1iYiIAiYmJ/PTTTzWOV92t8MAxf+xgmJ2dTVRUVK2zWgAOhwOHw1Hvawi06uds1Xdmy2ICw+PGZLZQVF7VMmHL7g1bdmvTwpaWEYqIiIhIsGjUmq5bb72VoqIi1q5dS35+Pvn5+axZswan08ltt93WpII8Hg8ul4uBAwdis9n4+uuvffs2bNhAZmYmQ4YMAWDIkCGsXr2anJwc35j58+cTFRVFnz59fGMOPEb1mOpjtAXVywjr0fUd8Hb187hKASgqr2yusmqe0/F72GqK6rCl1u8iIiIi0to1akrjyy+/5KuvviI9Pd23rU+fPkyZMoUzzzyz3se55557OPvss0lJSaGoqIj333+fhQsXMnfuXKKjo7nmmmu44447iI2NJSoqiltvvZUhQ4YwePBgAM4880z69OnDlVdeydNPP01WVhb33XcfEyZM8M1M3Xjjjbz88svcddddjB8/ngULFvDRRx8xe/bsxlx6q9TQe7YAjIpSCI2kqLwp80z155vZsvipQYaWEYqIiIhIK9eosOXxeLDZbAdtt9lseDz173CXk5PDVVddxZ49e4iOjqZ///7MnTuXM844A4Dnn38es9nMqFGjcLlcjBgxgldeecX3eYvFwqxZs7jpppsYMmQI4eHhjBs3jkceecQ3Ji0tjdmzZzNp0iQmT55McnIyb7zxRptp+w4HhC1z/Vu5/z6z1UJhy+GnBhl2zWyJiIiISHBoVNg67bTTuP322/nvf/9Lx44dAdi1axeTJk3i9NNPr/dxpk2bVuf+kJAQpkyZwpQpUw45JjU1lTlz5tR5nGHDhvHrr7/Wu65g05iZLY+rBGjJsBUBqPW7iIiIiBw5GvWb78svv4zT6aRLly5069aNbt26kZaWhtPp5KWXXvJ3jXIYjQtbLXfPlttj/N6N0G9hK7LJdYmIiIiINKdGzWx17tyZX375ha+++or169cDkJ6eftDDg6VlNOqerf1hq9jV/DNbZVW/L290WC1NOpbvOVu2EFxV9V82KSIiIiLS0ho0zbBgwQL69OmD0+nEZDJxxhlncOutt3Lrrbfypz/9ib59+/Ldd981V61yCK4mLCN0tsAywpIK7318FpOBpb4tEw/BZjFhxnu9Tlf97w8UEREREWlpDQpbL7zwAtdddx1RUQffLxMdHc0NN9zAc88957fipH4qGvhQY2jZZYQlld66bE1bQQiAyWTCsX9yzFmhsCUiIiIirVeDfv1duXIlZ5111iH3n3nmmSxfvrzJRUnDNPShxtCyDTJKK72hyNa0SS0f+/6ui0Wa2RIRERGRVqxBYSs7O7vWlu/VrFYre/fubXJR0jCNWkZYsf+erZZYRuib2fLPPVb2/T+1WkYoIiIiIq1Zg8JWp06dWLNmzSH3r1q1iqSkpCYXJQ3TlAYZRa4WWEa4f7mfP5YRAjgsmtkSERERkdavQb/+nnPOOdx///2Ul5cftK+srIwHH3yQc88912/FSf209udsNdvMlu7ZEhEREZFWrEGt3++77z4+/vhjevbsyS233EKvXr0AWL9+PVOmTMHtdvOPf/yjWQqVQ6sOW+ZGNchowXu2/DWzpWWEIiIiIhIEGhS2EhIS+PHHH7npppu45557MAzvL/cmk4kRI0YwZcoUEhISmqVQObSmPdS4JVq/e+uz+yls2bWMUERERESCQIMfapyamsqcOXPYt28fmzdvxjAMevToQbt27ZqjPqmHpi0jbInW79XdCP2zjLB6ZqtIywhFREREpBVrcNiq1q5dO/70pz/5sxZppMY1yPCGLVeVh4oqD3arn6adalHi52WE1a3ftYxQRERERFqz5vsNW1pMo56zVVHm+7q5Z7dK/fhQY8D3UGPNbImIiIhIa6aw1Qb8PrPVgGV6hocQqzedFbua976t31u/+6sb4e8zW9X3DYqIiIiItDYKW0HOMIxGLSMECLN5P9DcTTL8PbNV3WijygMl1dN6IiIiIiKtjMJWEDpwNqfSbeDZ/9bSwO9m2P7042zmZYTFfp7ZsprBU+l91tu+kgq/HFNERERExN8UtoJcedXvMzutcWaryu3xPdTYX63fATxlTgDyFbZEREREpJVS2Apy5ZXesGUYngZ/M8Oq79lqxrBVWPb7rJk/w5a7dH/YKlXYEhEREZHWSWEryLn2t1U3qiowNXBmq6q8GIB1m7eSmZnp79IA2FfqDVue8mLMDayvLtUzW1pGKCIiIiKtlcJWEDIdkKp8M1tV9Q8dzvy9ACz+9hsAnp08hd7p6c0SuAr2zzy594cjf9EyQhERERFp7RS2glz5ATNb9VVW7A0qXXr1A6DvyedQVlpKbm6u3+vzzWyVFfn1uNXLCPdpGaGIiIiItFIKW0GuukGGUdnw0BEZGQGAPSLGnyXVUB2G/B22fMsIS5u3k6KIiIiISGMpbAW535cRuhr8WQveLoH7J8eaRXMtI3Trni0RERERaeUUtoJcY5YRVrOavJ+t9Pixc8Uf5JdUN8honpkt3bMlIiIiIq2VwlYQOvChxo1pkFHN2oIzW/5fRug9nu7ZEhEREZHWSmEryDVpGeH+ma0q4zADm2Bfcy0jrH7OVonu2RIRERGR1klhK8iVV+1fRtiIBhlWU/XMVvMtI/y9G2HztH7fV1pRY6ZPRERERKS1UNgKcq4mLSP0BrWKIFxGWD1T5vYYOMur/HpsERERERF/UNgKctXLCD2NWEZo27+M0G2YMFntfq2rWvXMlr+XEeKuJMTqnZFTR0IRERERaY0UtoJcU7oRWjAw7V9BaA6J9GdZgHfWKa/YGwI9JQV+P36Uw/vjm68mGSIiIiLSCilsBbmmdCM0mSDEagHAHOr/sJVX7MJjgNkE7tJCvx8/0u798dXMloiIiIi0RgpbQa68qvHdCAFCbN4fgeaY2cpylgMQE2IGw/83hvlmthS2RERERKQVUtgKcr5lhI3oRggQYvPObFmaYWYr2+kNgLGhFr8fG34PW3kKWyIiIiLSCilsBSED/zzUGH4PW82xjDB7/8xWbEjz/Jh5SvYBsGbzDjIzM5vlHCIiIiIijaWwFeR+b5DR+pYRVoetdn6e2XLm7wXgsw/fAeDDz7+gd3q6ApeIiIiItCoKW0HOVX3PVmVjw1YLzGyF+vfHrKzY20a+/+BTAEhKH0hZaSm5ubl+PY+IiIiISFMobAU5fy0jDMZ7ttrHxgLgsYY1y/FFRERERJpCYSvIVS8j9DQ2bFmbfxlhc4Utu8kbNMvdzXJ4EREREZEmUdgKcr/PbDVuGWGobxlhlN9qqlbd+r1dMzXIsJu8QbPKMGGyOZrlHCIiIiIijaWwFYRMmHxf//6craZ2I4xoemEHyCt2UVBaCUBiRPPMbFkwsJq9fxeW8HbNcg4RERERkcayBroAaRr/PWerYTNbmZmZNRpSxMXFkZKS4nu/KacYgM6xob6liv5mMkG4w0phWSWW8NhmOYeIiIiISGMpbAW5pi4jDLP/vozQ7TEOM9orMzOT3unplJWW+raFhoWxPiPDF7iqw1aPeP/fC3agMLvFG7YiNLMlIiIiIq2LwlYQOvChxi7fc7YaN7NVfc+WyWyhqMJTr8/k5uZSVlrKmLufISGlG79l7uSLt1/ku+++Iz09HYBfNnvDX4+ECKCsUbXVR7jD+yNsidDMloiIiIi0LgpbQa7C3bSwZTabsJsNKjwmCl31C1vVElK6scuSyApsJI17gQlT3qFw8VgAksb8E3vyUftntpovbEX4wlb7ZjuHiIiIiEhjKGy1EY1dRgjgsOwPW+UNC1vOChNLsvJhf8OOmJOvZOSoy2HvZr4t7QhAz4QIqnJyGl3b4UTuD1vWyLhmO4eIiIiISGOoG2Eb0dgGGQDVndkLGhi2Nhd7P9geJ86fPwVgdVEo7rjuWMKiibCb6JXYvPdsRYTsn9mK1MyWiIiIiLQuClttgLfZX/2aW9TGYfF+tkHLCC02Mku8Pz5J7KPg+/dwmKpwllexJNcGwMkpoTiszdP2vZpvGaFmtkRERESklVHYagPsFtPhB9XBsf+noLDcXf/PJHbDbZgItVmIphSjooze9oIaY05LC2tSXfURccAyQsNofOAUEREREfE3ha02oKlhK6QRM1uOTt6ug0nRIb5HLMdYKjjnqES6R7rJ/d+/6NrO1qS66sPbjdDAZLXhbGCDDxERERGR5qSw1QY4mjqztX+lX0Pu2bJ37A1AUkxIje09EiI5up2bknULm1RTfVnMJt89Z3llClsiIiIi0noobLUBTV9G6J3Zqm/YMgzjgJmt0Cad2x9Crd7688rqvwxSRERERKS5KWwFIeMPzTCavozQ+2ehq35hZW+pG2tELCYMEiIdTTq3P4Turz+3VGFLRERERFqPgIatJ598kj/96U9ERkYSHx/PhRdeyIYNG2qMKS8vZ8KECbRv356IiAhGjRpFdnZ2jTGZmZmMHDmSsLAw4uPjufPOO6mqqqoxZuHChRx77LE4HA66d+/O9OnTm/vyWoy9iQ3/qu/Z2lfmwe05fJOJ9bmVAMTYDayWwOf1sP0zW3tLFLZEREREpPUI6G/KixYtYsKECSxZsoT58+dTWVnJmWeeSUlJiW/MpEmT+N///seMGTNYtGgRu3fv5uKLL/btd7vdjBw5koqKCn788Ufefvttpk+fzgMPPOAbs3XrVkaOHMmpp57KihUrmDhxItdeey1z585t0ettLk2d2Qq1gOFx4zYgt/jwD0fekOd9pld7R+vo/he2PyzmKGyJiIiISCtiDeTJv/zyyxrvp0+fTnx8PMuXL+fkk0+msLCQadOm8f7773PaaacB8NZbb5Gens6SJUsYPHgw8+bNY926dXz11VckJCQwYMAAHn30Ue6++24eeugh7HY7U6dOJS0tjWeffRaA9PR0vv/+e55//nlGjBjR4tftb00NWyYTuIvzsEbFs7ugjISokDrH+8KWvXWErfD9M1s5WkYoIiIiIq1I4NeAHaCwsBCA2NhYAJYvX05lZSXDhw/3jenduzcpKSksXrwYgMWLF9OvXz8SEhJ8Y0aMGIHT6WTt2rW+MQceo3pM9TH+yOVy4XQ6a7xas6Z2IwSocuYCsKewvM5xpRVVbCvwLtGMdbSO7n9h+//JQDNbIiIiItKatJqw5fF4mDhxIkOHDuWoo44CICsrC7vdTkxMTI2xCQkJZGVl+cYcGLSq91fvq2uM0+mkrKzsoFqefPJJoqOjfa/OnTv75Rqbi8Pa9LDlLvKGrd0FB/99HGjljkI8BlQ5c3wh51AyMjL45ZdfyMjIaHJ9dame2XK6PJS4qg4zWkRERESkZQR0GeGBJkyYwJo1a/j+++8DXQr33HMPd9xxh++90+ls1YGrqcsIAaqcewHYXVD3zNYvmfsAcO1aD0cNrnWMM997rLFjx9bYXlxc3NQya2Uzg7usCEtoJLsKyuiZENks5xERERERaYhWMbN1yy23MGvWLL755huSk5N92xMTE6moqKCgoKDG+OzsbBITE31j/tidsPr94cZERUURGnrwc6IcDgdRUVE1Xq2ZP5YRVs9s7Smse2brl+0HhK1DKCv2LrscecM/uGPKx5w97nbA21myuVQVer+/O/JLm+0cIiIiIiINEdCwZRgGt9xyC5988gkLFiwgLS2txv6BAwdis9n4+uuvfds2bNhAZmYmQ4YMAWDIkCGsXr2anJwc35j58+cTFRVFnz59fGMOPEb1mOpjBBsTNcOVf2a29i8jrOOeLcMwWF49s7X70GGrWvuOqST36EtsYvJhxzaVu9D7/VfYEhEREZHWIqDLCCdMmMD777/PZ599RmRkpO8eq+joaEJDQ4mOjuaaa67hjjvuIDY2lqioKG699VaGDBnC4MHeJWxnnnkmffr04corr+Tpp58mKyuL++67jwkTJuBweB+4e+ONN/Lyyy9z1113MX78eBYsWMBHH33E7NmzA3btTfHHhxr7556t6mWEh57Z2pJbQkFpJXYLVGRvafI5/amyYA8A2/IUtkRERESkdQjozNarr75KYWEhw4YNIykpyff68MMPfWOef/55zj33XEaNGsXJJ59MYmIiH3/8sW+/xWJh1qxZWCwWhgwZwtixY7nqqqt45JFHfGPS0tKYPXs28+fP5+ijj+bZZ5/ljTfeaBNt38FPM1v7vGFlb5GL4kM0maheQti9nR08rasRRVX+TsAbCEVEREREWoOAzmwZxuGf0xQSEsKUKVOYMmXKIcekpqYyZ86cOo8zbNgwfv311wbXGAz8cc+Wx1VCTIiZgnIPW/YW0z855qAx1c0xera38UWTz+hflfm7Adia2zxNOEREREREGqpVNMiQpvHHMkKA5Ehv9v5tb+2B5ZftBQD0jrP75Xz+VJm/C4Cd+8pwVel5WyIiIiISeApbbYA/ZrYAOkXtD1s5By/FKyyrZGNOEeCd2WptPKUFhNlMGAZs131bIiIiItIKKGy1Af64ZwugUx0zW0u35GEY0LVDODEhFr+cz9867q9/y17dtyUiIiIigaew1Qb4fWarlrC1eEseACd0a++XczWHjhHeEHioZZAiIiIiIi1JYasNsPvpnq3OvrBVQskfOhIuyvC25U80OcnIyPDL+fwtJdq7vHF9VlGAKxERERERUdhqExx+WtUXF2ahU0wobo/Bih0Fvu2/ZPzGlnzvw45vH30OY8eOBaC4uHXNIJmLvO3rV2zNITMzM8DViIiIiMiRTmErCP2xZb6/7tkC+FOXdgD8tDXft+2LVd626pGUMfFf0zl73O0AlJeX++28TeHM9z6Q+Yk7JwCQWeCi91H9FbhEREREJKAUttoAf92zlZGRQYLFO1v13frdvu0/7vSGqi4xNpJ79CU2Mdkv5/OXsmInACPG3IjdbGAyW6gKbU9ubm6AKxMRERGRI5nCVhvQ1Jmt6pmhsWPH8sBNVwCwfPs+Vm3YQmZeKev2VgDQKczTtEKbWVzHVOKjwgCwx6cFuBoREREROdJZA12ANF1Tw1b1zNDIG/5Bz34DmbejjGJrKB/8vIMKRxEGULZlOeEp/fxQbfPqEOlgZ0EZ9sQegS5FRERERI5wmtkKcnarGYvZP8sI23dMpXPPvqTvf2jx+2uKmbl8JwAF37/nl3M0t8ToEAAcHXsFuBIREREROdIpbAW5UJv/HzCcHOahbNtK3/sLe4VTsWej38/THKrDlj0+DVeVcZjRIiIiIiLNR2EryIXY/P8tNJsg56P7mXh8DP8ZfxxXHR3l93M0l0iHlRCLgcliZcu+ykCXIyIiIiJHMIWtINccM1sAGB5OTg3l5J4dmuf4zcRkMhFr985oZeRWBLgaERERETmSqUFGkAtprrCFtxX8gX8GiziHh91lZlbnuAJdioiIiIgcwRS2glxzhK0DW8EfqLi42O/nag4JoR4o8M5slVe6mzWQioiIiIgcipYRBrnmWEZ4YCv4O6Z8zNnjbgegvLzc7+dqDpFWqCrKo8INy7btC3Q5IiIiInKEUtgKcqH25pu1ad8xleQefYlNTG62czQHkwnKt/0KwIL1OQGuRkRERESOVApbQa45uhG2BaUbFwMwZ/UePB61gBcRERGRlqff1IOc7keqXdnWX3CYDbKc5fz3q6VkZmYGuiQREREROcIobAW5Zmv9HsSc+XvBXUneqm8AuPXpt+idnq7AJSIiIiItSmEryClsHay6wUefLkkAxA06m7KycnJzcwNZloiIiIgcYRS2gpyWER5aaodoHFYzFdhwJPcJdDkiIiIicoRR2ApyzdmNMNiZTdCtQwQA4X2GBbYYERERETniKGwFOc1s1a13YiQA4ekn4apSV0IRERERaTkKW0FOrd/rltwulDCLgdkRzk+7g+OhzCIiIiLSNug39SCnBhl1M5lMpIZ7APhma2mAqxERERGRI4nCVpDbs3M7GRkZgS6jVUsJdwOwMruCPYVlAa5GRERERI4UCltBqLKy0vf13yZNZOzYsQAUFxcHqqRWLcIG5ZmrMYBPft0V6HJERERE5AihsBWE3G637+tLJ/yDs8fdDkB5ue5JOpTiNQsAeO+HzSxfvlwPOBYRERGRZqewFeSSUroSm5gc6DJaNWf+Xko3fI+nopxdRW5OOH8MvdPTFbhEREREpFkpbAU5q8UU6BJavbJiJ0ZFGbEUAXDslf+grLSU3NzcAFcmIiIiIm2ZwlaQs5oVtuorOdL7455vbgcm/eiLiIiISPOyBroAaRqbRaGhvtqZXTisZlxVHhzJfQJdTqNlZmY2alYuLi6OlJSUZqhIRERERGqjsBWEDAzf11pGWH9mE3TtEE7GniLCep0Y6HIaFZr27NnDpZdeQlmZtxlKmA26x5qJdpiIdJiItHvHOV3gdBkUugx2FHoodEFYWCgZGesVuERERERaiMJWEDJ+z1pYzZrZaoge8ZH7w9YJuD3G4T/QTDIzM0lP701pacOe+9U/wcwdg6xce1IaSSEu7O5i6hO3XYaN1XvK8Xz0F3Z1PpbS6O6URfegyhFz2M9qRkxERESkcRS2gtCBEUG3bDVMSmwYNpMBEbFsyKvkTwGqIzc3l9LSMt699zLSUzrUOTa0Mp/2pZuJdu3E4S7ZvzUPqp8AYA0FWyhY7GCxebe5K7yvqnKoLMNhqmRQRwsUL4OMZb5j/5bv4fvMKr7f4eb7TDfrcz0HnV8zYiIiIiKNo7AVhA6c2TKZlLYawmI2kRTmIbPEwuKdZYwNcD3pKR04tmeng3cYHsjdBLt+hsKdvs1VhpnZG1z07NOf9KMGQHgc2MPrPom7glnfLOXf/zefv5/bi95xZkIr9+FwO+kWa6ZbrJ1xA/Yf3+Sg2N6BYns8xfZ4fsnyMOaJmeTm5ipsiYiIiDSQwlYQCtzit7ahY6g3bP2yxxXoUg5mGJCzDrZ9B+UF3m0mM8T1gvg+zFzhZPSH/8eXj3UhvV1q/Y5psVNIJJ9vqOLmK4+i3fFHe7dXucC5yxvmCndC0W6sHhcxrp3EuLwBr4fdQvyVYSRu+A/ElkKnQWAL8f91i4iIiLRBCltByFDaapL4EAPDXcWeYtiWW0KXuMPMDLWUfdtgyzdQnO19bw2FjgOg47HgiATAzQr/nc/qgNiu3heAx+09d+GO/QFsB5aqcoZ3tcKGt7wvi90buFJP8L46Hw+OCP/VJCIiItKGKGwFIWWtprGZwbVzHSGp/Vm4IYer49ICW5DLCZvmQ94m73uLHToPhuRB3q9bitkCUR29r87Hg2Gwbt1aXn57Bo9ddw6xznXeMJb5o/f1HWCyeANh6gmQOhRSBkNou5arWURERKQVU9gKQprZarqyLcsISe3PNxv2cvXQwIQtswk6lKyHn1d6m1mYzJA0wBtaDncfVkswmSi3tePVZZVc+9oDxB5zDORvge0/wPYfvX8WZMKu5d7Xjy8BJkg4CroMhdSh7LSmklPsPuyp/kgdEEVERKQtUNgKQspaTVe2ZRntTh3P4t/2svin5XRK7NCiv9yHFG3nx/HhdHb+7N0Q1Ql6ngXhdXcmDJSMjIwD3h0FqUdB6vXYSrOJzFtFRP5KIvJWEVK8A7JXe19Lp5IM7Mt2s2i7m0Xbq/hmq5u8ssP/BKsDooiIiLQFCltByNDUVpM48/dSmZtJlTMHouI5bfSNmLLWsT4jo/l/ufd4YOlUei96EHOyBbfJhqX7qZB0DLTCzpJ78oswAWPH1q9vY0K4iZNTLZzSxcqwVAt94y30S/C+bjnOjgGU2uIodHTE6ehEqa39QdedkbmXsU98pA6IIiIiEvQUtoKQolbTlBU7Aejg8LAPGHDpbSx56qrm/+V+33b4bAJs+w4z8OXmKjqdMIp+HXs03zmbqKC4HAN4+eYzGdK/YXV+8tNGhj3zFfP/fjIDEs1QkImpZC/hlbmEV+bSsXgV2MIgNg1iu0G7rup0KCIiIm2KwlYQ8iht+UXHSDv7KqDY2swNHQwDfn0XvrwHKorAFkZm+g2c/fDDLD8prHnP7SfdO7ar/XlgdcjI3EtuqUG2ORG672837yry3veV/5u3+2JlKWSv9b5MZohJpb0ngfahrW+WT0RERKShFLaCkKG5Lb+ItrgwAUVVJiwR7ZvnJEXZ8L/bYeMX3vedj4cLXyV3eyHwcPOcszVzRELS0d6Xxw3Ond7wlfcblObCvq2kspWsv0VQuvhO8IyF3udCROu8l01ERESkLgpbQcgwAP3Df5PZTAbxUQ6ynS5CUo/2/wnWfAyz/wpl+d4W7qf+A0641dtiffsv/j9fsDFbICbV++p6KpTmw971lO5cTVjVPqL2LoNZy2D2HdDlROhzAaSfDxHxga5cREREpF4UtoKQwpb/dG4X5g1bXQY0+hiZmZnk5ub63ltd++i8ajLt9iwCoDSqG9uOvZfysK6wYiXwx+5+AkBYLKSewHpXKpfd8wozHh5Lz6oMwgs3wtZvYeu3GLPvpLh9f/Z1PJmCpJOpCqk5I6mW8SIiItKaKGwFIS0i9J+U2DCWbd9HSOrRjerymJmZSXp6b0pLywC4pI+VV84JoV24mUq3wRPfV/D4t79S6bm01s8XFRc3qf62aE9+EVv2GRx72zsApMWYGNXHxqV9bBzXCSLzVhCZt4LkVZP5PtPNjHWV/N+6KvYUG2oZLyIiIq2KwlYQUud3/0mKDsFsMrBGtmens4qBDfx8bm4upaVlzLj3Qk6P/I125dsBKLPGsC1uKOddHst5lx/8uTk/beT+N+dTXl7e9ItoY+rqgLimqpiY8kzalW8nvDKXk1OtnJxq5cWzYa8nhsfnZeHcvhoUtkRERKQVUNgKQp5AF9CGWC1m4hwGOeUmVmVXcEEjjjEq3coFjh+wlbsAE6QMITR1KOlmyyE/k5G5t9E1HykO3QGxl/eP8kLI3QB7N2By7iLeXMDks0Lg6ytgZU/ofgZ0Px1SBoM9vEVrFxEREQEwB/Lk3377Leeddx4dO3bEZDLx6aef1thvGAYPPPAASUlJhIaGMnz4cDZt2lRjTH5+PmPGjCEqKoqYmBiuueYaiv+wNGvVqlWcdNJJhISE0LlzZ55++unmvrRmpYca+1d8iDe+rspxNeyDBZl0/ekfzLwsDJvHBeEd4NhxkHayt/mDNK+QaEg+Do65EgbfzI6oQSzaVoVhMkPuRlgyBd69GP6ZCtNGwNePwsZ5UJJ7+GOLiIiI+EFAZ7ZKSko4+uijGT9+PBdffPFB+59++mlefPFF3n77bdLS0rj//vsZMWIE69atIyTE+/DTMWPGsGfPHubPn09lZSV/+ctfuP7663n//fcBcDqdnHnmmQwfPpypU6eyevVqxo8fT0xMDNdff32LXq+/KGr5V3yI9290TU4FVW4PVsth/g3CXQmLp8Cip4ipLKXSbZAb3Z+kY85SyAoURxR7w9MZ9vYCViz5gqMj8mHTfNiy0NtefscS76taTAp0PBYSj4KEo9hVFUN2uR1MDes8o4YcIiIiUpeAhq2zzz6bs88+u9Z9hmHwwgsvcN9993HBBd7FXf/5z39ISEjg008/5fLLLycjI4Mvv/ySn3/+mUGDBgHw0ksvcc455/Cvf/2Ljh078t5771FRUcGbb76J3W6nb9++rFixgueeey54w5bSll/F2AzcZU7KQqNYubOQgal1POT4twXehxPvXQ9AUfv+DH70R955dABJClqtgtsWAX1Phr4Xev9j2bcNtn0P23+AXcu9s14Fmd7Xuk8B6ARElBusznGzKtvDqmzvn2ty3BRVHPpcasghIiIidWm192xt3bqVrKwshg8f7tsWHR3N8ccfz+LFi7n88stZvHgxMTExvqAFMHz4cMxmM0uXLuWiiy5i8eLFnHzyydjtdt+YESNG8NRTT7Fv3z7atTv4F2uXy4XL9fuSMqfT2UxX2Th6qLF/mUxQvn0V4b1P5IfNubWHrbzfYN59sGGO931YezjzMTa5e7Fu76CDx0vA1N5Wvy+k9oVUMFcWE16wgbCCjYQUbcWcs47wsp1Eh5g4McXKiX/ITS5LOGXWdpTZ2vn+dFkiydiRy9gnPiI3N1dhS0RERGrVasNWVlYWAAkJCTW2JyQk+PZlZWURH1/zAadWq5XY2NgaY9LS0g46RvW+2sLWk08+ycMPP+yfC2kGHsMU2Jvt2qDybSsI730i32/O5bbTD+iAV5oP3/4LfnodPJVgtsJx18Mpd0FoO/hFDyduLfbkF2ECxo4d2+DP2szw45MXMiglHEr2QkkOFO+FiiIc7hIc7hJiXDt//4A9ktSoeC4/yoqlotB/FyEiIiJtSqsNW4F0zz33cMcdd/jeO51OOnfuHMCKflfl9uimrWZQvn0FAL9sz+eHpctI6RBF592z4bvnwbX/l+nuw2HEE9ChV+AKlUOqq2V8Xarb8OdVOiChb82dlWW/By9fCMuBiiLaU8R/R4VhzB0FW86AfpdCr7PV+VBERER8Wm3YSkxMBCA7O5ukpCTf9uzsbAYMGOAbk5OTU+NzVVVV5Ofn+z6fmJhIdnZ2jTHV76vH/JHD4cDhcPjlOvyttNId6BLaHGf+XqoKsqgqyMIcE89b913BQ/2yIMrbLKE0qhu7+txAUfyfYEcJ7Ph9Nqv2JWsSSIduGV+7Otvw20IhJtX7quauhMKdZG9ZTfaW1fRPADZ+CRu/xG0JIb/zmeR0vQRXxKH/gUaNNURERI4MrTZspaWlkZiYyNdff+0LV06nk6VLl3LTTTcBMGTIEAoKCli+fDkDB3ofR7tgwQI8Hg/HH3+8b8w//vEPKisrsdlsAMyfP59evXrVuoSwtSt1KWz5W1mx9568Ewq/4OH4DaQPzQZMZBZ6uG+Bi/dW/4rHuLHOYxT94XED0oZZbBCbxrKNLs6buoRecWZGH2VjTD8b3WLL6bDtczps+5xZGyt55scKvt1+8H+zaqwhIiJyZAho2CouLmbz5s2+91u3bmXFihXExsaSkpLCxIkTeeyxx+jRo4ev9XvHjh258MILAUhPT+ess87iuuuuY+rUqVRWVnLLLbdw+eWX07FjRwCuuOIKHn74Ya655hruvvtu1qxZw+TJk3n++ecDcclNVlJRFegS2pxOphy+GBPGWd3nA1BkhDIvw0lU/5FMvDmBiXV8tnoJWnl5eYvUKq1H9bLFWy4bzpD+PSg0DDZWZBNfkkG0ayfn9rRxbk8bTnsSuyOPodTeHvDOpKmxhoiIyJEhoGFr2bJlnHrqqb731fdJjRs3junTp3PXXXdRUlLC9ddfT0FBASeeeCJffvml7xlbAO+99x633HILp59+OmazmVGjRvHiiy/69kdHRzNv3jwmTJjAwIEDiYuL44EHHgjatu9lFW4w6aYtf4gwSjj1t6foZ/8/LN2tVLjhP8bZvFx1ISPyb2Ni16QaS1hrU+cSNDki1Fy2mAwM9DZW2fkzZK0kqmIPUXl7IK4XdB0GdAhcsSIiItKiAhq2hg0bhlHHQ6NMJhOPPPIIjzzyyCHHxMbG+h5gfCj9+/fnu+++a3SdrUmJSzNbh1Pi3AdA3u7t7Ny0lvysnTXeO7O2M3GwnUfdjxORVQEm+Dijkrvml9P+hnMpIJI90f0CeQkS7MJioecI6Hw8bP8OstdC7gbI20xSeF9CWu0CbhEREfEn/V9+kCmt0D1bddmXs5tZbzwDwOzXHmf2Aftmv/Y4pp5Wnj3TQc8RIUAFv+5xM2luOYv231dzrHsn2eZ27InuD+jvWpooNAZ6nwfJx3sfiF2wjaTiVay5KQIjeylwbKArFBERkWaksBVkdM9W3UoK91FVWclFva2ccPLJxCV0JHfXdvI3LOXaE+PpGuJthlFYbrC4vAvZCf059/RMzAt+5JttbjpXbuMnRz92Rx+NYegZWuInEfHQ/8+wdz0VG+bRLbYMlv4dylfBWU96Q5mIiIi0OXo2bpBRN8L66RBmoltSO3qndGBERycPn+qga4gTD2Y2eDrzys8VlMX0pGdqIl2TomkX4m3z3smzBwtuShwd2FkRFuCrkDbFZIL4dNZ1uIDnFrswMMHK9+GVIbBpfqCrExERkWagsBVkNLNVf9E46Zf9Cf0sW7FZTOylHSsTR7HWk8ahMqudKrpa8wBYVhzbgtXKkcJjtvHXeS42Dp0Msd2gaDe8dwnMmuR9iLKIiIi0GVpGGGQuPiaZ6dss5CtzHZLNDOf2tDKMnzBXGrgMK3PWl0H6QBJtMUB2nZ9Pt2WzqSqen4vbAzl1jhVprGU5VkoHv0zH9dOI3/J/mJa9SdmGb9g66AHKI7vU+hk9DFlERCS4KGwFmegwGzazKdBltFqJVTtYem04xyRZAIO80DSWFCWwMnsRR6fX7++ttzWbz+nH8uJY3EYOFv11ix/tyS/CBIwdO9a3bXhXC+9eFEoCW+ky72pumVPOWysqD/qsHoYsIiISXBS2pE0wAWcY3/Hn/NnYkiwUVxiss/fH3f54XEUbG3SsLtZ8bFWlOAljnTOUftFa2iX+U/0w5JdvPpMh/Xv4tme7ywgt+IEo9vDmBaH868/pZEYfj8dsB/QwZBERkWCksCVBL4Yi5owJ4yzjMwBmbaxk4dYqho5IJNHU8Gkpi8kg0bmGHbHH8X1ehMKWNIuaD0Pez+gGO5bA1m+JLd9GLAXQ5wKIrPvh2iIiItI6qUFGEDI49IOgjzQpBUt53PE6Z3W3UoGV/4u4kvP+W0ZRRdOO27FwFQDf50X4oUqRejKZIGUIDBgLjigoL4Bf34GdP0MdD4AXERGR1klhS4KSCTjP+IqL195KtKmUlVluHjJN5Mew0/1y/KT9YeunfeFs3ZVNYWGhX44rUi/RnWDgeIjrCYYHfvuatIJviXIEujARERFpCIUtCTrhlPH56FAuMb7EhMHCqgEMnlbCLlOiX47vKislunwX4a69VBpmHp+xhJenTFHgkpZlC4E+F0H3M8Bkpl15JsuuCye0cHOgKxMREZF6UtiSoBJfnMGj9jc4t6eNCqzM634/b1SdR7kfW+FXVbowAem2LAAq+5xPZWUlpaWl/juJSH2YTNBpIAwYi8sSTo/2Fnp9NwF++Y+WFYqIiAQBhS1ptYoL8ti5aS35WTsBGLRvNpetHE+8uYDf8j38LfcS5jq7+fbn7d5OduZvfjt/X0cuAJvMXfx2TJFGierI+riRzNpYidlTAZ/fCp/eDBX6BwAREZHWTN0Ig5CJI+PBT5+//ABVlZWEWuGtC0K4Ovob7/YNlVz1SRmFrteB133jZ7/2uF/P38O8GxMGu93RlNhi/XpskYZymx2c/98ydnxwM53WT4OV78OeFXDZfyCux2E/LyIiIi1PYUtararKSibfcCqXx64l3l6Ox4BfjXQ2htn4c9+l9Bh0EnEJHcndtZ1NK5bQY9BJbMpx8fqnP/jl/OGmCro6ivjNFcXumKP9ckyRpjCA7B5X0On4C2HmeMhZB68Pg/NfhKNGBbg6ERER+SMtI5RW64JeVm5MWEm8vZziCoMfTAOpSD2RrkkxJEWa6ZbUjl6pCXRNiva9T4qL8msNR4fnA7Ar5hi/HlekSbqcCDd8B11Ogopib/CacydUuQJdmYiIiBxAM1vS6pjx8M/hDu4e6gCqyDOimL5sL11PiMU//Qbr75jwPD7O78LOmGNxeb5v4bOLHCwjI+P3N0c9SEfbWyRueg9+ep2Sjd+ydeD9VIR3rPGZuLg4UlJSWrhSERERUdgKQm35ocZhFbn83fYufYZ6Hyi01ujKRndHiiq+Dkg9XR1OYkylFFjC+Km4PV0CUoUI7MkvwgSMHTv2oH1nd7fyzkUhtGc9KXOu4ObZ5by3utK3PywslIyM9QpcIiIiLUxhS1qNnsYWxqz4JxGWXIpcBuM/L2PkqKOIoiBgNZlNcIx9J9+4erKoMIHLyAtYLXJkKyguxwBevvlMhvQ/uCHGbncJ9oLviSKHdy8O5cUr+pAZfRxrdxYy9omPyM3NVdgSERFpYQpb0goYTBps5+/GVCyVHnZ64jj939vYmOdhZCu45//Y/WHrW2c8lZ48bLrTUQKoe8d2HNuzU+07je6QuRi2fU9s+VZijTzCEo5v2QJFRETER782SkDZq4q5zTaT50aEYMFDRtwIHqy4ho15nkCX5tPdmktIZSFFbhtL8iMCXY7IoZnMkDoUBoyBkGhwOemZP58Xzw7BXFUW6OpERESOOApbEjCdjD1csXIcx1nWU+E2eNt0EV/2fBQX9kCXVoPZZJCS/xMAc7KjA1yNSD1EJ8PA8ZA0AIBbj7PTe9F1sPXbwNYlIiJyhFHYkmZX4twHQN7u7ezctJb8rB2MP8bGA57JtCvPJKcqnJPeKmXGnmR2bl5HftbOAFd8sC553md3zcqKoaRK/9lIELA6oOdZbIo9nR2FHkJKdsHb58EnN0JJbqCrExEROSLoni1pVvtydjPrjWcAmP3a4yyyw9SRoYw5PxSo4svNVYz9OIu8MgNee5zZf/i8q6wUHC1e9kGSnGvobC9hR0U4n+6JYUzn/ECXJFIvRY6ODHq1mM1Tr6TDts9h5X9h45cw/CE45kowWwJdooiISJulf6KXZlVSuI+qykou6m1l+s2D2fn3JMb0t+H2GHzr7ERW14v4++gTuf5YG89cfxpv3T+WZ8afxKldvL8AVlaUB/gKvEwYXNR+BwDvZLbHaLvd96UNcrpgR/+JcO1XkHAUlO2D/90Or50CWxYFujwREZE2S2FLWsQl6VbGdlhPtKmEUsPO9BWV5EX1oVdqIl2TokmKNNMtqR29UhPomhRNuxBToEs+yGBjFQ6Tm/XFoSzapbQlQSh5EFy/EEY84W2gkb0a/nM+/Hc0ZK8LdHUiIiJtjpYRBqFgeqhxiKeUjy4J5dK+NsBDfkgKPxZ3YodzIbGBLq6eXGWlAMz79ENSurZnU/zpPPJdCcec4w5wZSL1l5GR8fsbxxAsp7xN0sa36bDtM0wb5mBs+IJ9nU4lq+dVlEemAhAXF6dnc4mIiDSBwpY0m17Gb9yQP4P2fW1UeQzWmXtREncyFcUbA11ag1RVugDoOegkkmOreMwJW9sdz/p9Pwa4MpHD25NfhAkYO3Zsrft7tTfz6KkOLu1rI3bXAmJ2fs2Ha6p45kcXG5wOMjLWK3CJiIg0ksJWMGrlE1s2qnjmDAd3GFMxGwZb9nn4cE0FvU9KJdHU+pYH1ldoRDRpCXb6l+1iVWUn3s7pylC2BroskToVFJdjAC/ffCZD+vc45LiMynySilYR49rB6H42RvezsWBrFRVrZ0HyjWDWqnMREZGGUtgKQq15GWFC0Voetf+b5BMcgMGSkJM5Y+osrjjKRu9AF+cnI0PXsaqyE3P3JdHbrIccS3Do3rEdx/bsVMeITkA/KM6GHT9h5KzjtDQrLL0HNr4OA6+GY8ZCeFwLVSwiIhL89E+V4hfhNrjC8xmXrxpPsjmX7GIPz5v+woyo8RRXBLo6/+pizafTvl9wY2Z+eU8ASvff1yUS9CISIP081sRfxL9+dOG2hsO+rfDVg/BcOsy4GtbPgao29h+2iIhIM9DMljRZf/NmHrs5gi58B8AP7qO48NXFnHN3X9riv4G7yko5etcMdrU7ltXW3lii4pk/bz6nDepDdHR0oMsT8YtKSzh3zneRfOVjDIncTdy2/xFesB7WfgJrP6HKFsm+jqewr9PpFLfvD6bf/+1OjTVERES8FLak0ToYeZyf8Ve62b8Fu5m9tOP7Pg/yf7/kkVvadptHVFW6iC/eSHfPdjabU4kefAnu3H9TWlqqsCVtRnVjjdFXXePbdkyimbH9bVx+lI2OkUV02D6LDttnsaPQw3/XVPLBmkp+zfIQFhaqxhoiIiIobEkDFBfksXPTWkqyt/LIqQ7u9jyNPd9NlWFi8pJyFne9jNT4GPKzVgKQt3s77tLCAFfdfM4KWcvLFalE9D+Dsh8+DnQ5In5VV2ONLMNDcUU2sWVbiSnPpHN0JXcNdXDXUAclRgj/We6kYu3/IGk82EIDcwEiIiKtgMKW1NvsKQ8wti9MOdVBx1QH4OarLVXc9kU5Gbke4Jma4197PCB1tpRu5mwSK3eSZUtmW5eLAl2OSLM4dGONzsAg8FRB/m/ehyLnbyHcU85Ng+yw9F745THoOgx6ngU9R0BkYgtXLyIiElgKW0HIREu3TzcY2cPKU8Pt9I23ALC3xMOPFT3Y16UP48/PZNOKJfQYdBJxCR3J3bXd935TjovXP/2hhettOUeXLiMrOpmdnc5gb+WPJAW6IJGWZrZCXC/vy1PF5jW/MG/el1x7Uifs5XthwxzvC6BDOnQ9BdJOgS5DIUTLbkVEpG1T2ApGLZi1Ohf8zEj7dHpeEQZAuWFjg6czny/L4KhTutKrcyJRnkKKfzPTLakdiZ0TiPIU+N4Xe9p2l77Eql2U71hLSOe+vLs3jadT2u6ySZHDMltxhnRiwpxyBj/yIcd2tMHGL2HDF7D7V9ib4X0tneptqNHx2N/DV+fjwRYS6CsQERHxK4WtINQSM1uDky3c5ZlK37WbwQyllQYv/VRB5yFnEWKU4jYymr2GYGACCn/8LyF/foxP85KZWFZKx9DKQJclEnAZ69eDKR0ih8Og4VgqConMXUHk3l+IzP2FkJKdsGuZ9/Xds3jMNioSjiUk/Qxv+Op4DFhsgb4MERGRJlHYCkJNDVslzn2At4HFzk1ryc/a6XvvWTeH2zxvcdw14cBmqrAwx9mTG/79E1nFBm8NsRNC256taqjybStol7+GfbFHMfm3BJ46amegSxIJmOouhmPHjq1zXHKUidPTrJyeZuH0rlY6RlYSsmcp7FkKPIbbEkpx+/4UxR1LUYdjKIvqVqO9/IHUal5ERForha0jzL6c3cx6w9vIYvZrjzN7//Ze7c1clfccl+2zQRhUeQymr6jk0W9dZBYu9X3eVVYKjgAU3sr13PwuS4/7JzN2teO6LnvpHuEKdEkiAVFXF8NDyTIM5mdksPTH7zm1i5VT0yzEhZURnbOU6Bzv//7klxks3FbF3N+q+HxDFVnFhu/zajUvIiKtlcJWEGrKzFZJ4T6qKiu5qLeVE04+mdSEGHqX/kLf8DzMJhOGAetLY3h/aRbR6Sfy8G3ehhdzFvzIN9vcVFaUg6P2f10+ksUUbuD4kB0sLe/MI6tjeKnPRj1zS45oh+5iWLuMHbm8uqySvsedSmbX7uyt2kekK4vIiiwiKnKIDa3k4nQbF6fbeO1cKLbFURjSmV/ywzn/iTnk5uYqbImISKujsBWETKam37OVFmPiwqQcuvIL5ggPYGIPHchJPInfduViMWfXaHjRLqSlOyAGn8Slz2Lq/yzfOhO48923eWbsEAUukQbq3rEdx/ZKBpKBft6NhgeKsmDfNsjbDEW7iajMJaIyl042WD8hnOh1r0H8ddBpIPjhfyNFRET8QWHrCOPwlPHgKQ7+fqKdEDIB2GtE89mve2l/7AAS7e2B3MAWGaSO79uFstCNzCtP5/vO17DHuRJlLRE/MJkhqqP3lXoCuIq8oSt3E5592+gVB2z+wPuKSYGjRnlfCUcpeImISEApbAWhxiwjdFhghLGIC/K+IXyY96arfUSyJ24o67NK2On8ivb+LvQIExoRzehOOazc2olsR3se2dGPd5L3YNHveiL+5Yj0divseAyr1m/liZff4um/nEznsjVYCjLh++fh++cpj0hhX8dTye90Gq7Ig5cYqrGGiIg0N4WtNs5kVHGK5VeevDWCzsb/AFif62bRtiriBw0nMbQzsCGwRbYhIWYP10Ys5smCU/mxqAP3rTPzWJ9dClwizWRXgYuZ66qYcecCQq0wsqeVy/vaGNnTSkhxJkkb3yZp49usyHLzwZpKPlxbybYCb3MNNdYQEZHmprAVhOozs2U2wRDjF/78y4u0s2VCtJk8ovkq8mLGPDKZa46xcVZLPh35CJJiLeDkzZNZ1PNv/Hdne/IrrEzun0mIxTj8h0WkQQ7V/XC9p4KY8p20K99GlGs3AxItDEi08M/hIZTY4sgoj+OCyT+rsYaIiDQrha22xvBwvHkt994UTh/jfSgHpxHGg/PyKTrrSaJDk3AbkwNdZZvXJX8Jx7X7jhcKhjI3J5qLFnfhxQG76aGW8CLNovbuh2nASVBZBrkbIWcdFGQSXpnLIEsuOyZFUPLDRKgcCz3OgNi0AFQuIiJtmcJWEDrUzNZAYzWjV0ylg30zdLBQTCgrUv7C9I0RTFtyH1edbWvhSo9MrjLvQ59zvpjM6ZHzWNDzbjJKIhn5Yw/u6JHN+FQ1IBFpUbZQSDra+6oohr0bKN6+gojKvUTmrYQvVsIXQPvu0P0MSDsJUoZAWGygKxcRkSCnsBWMDshauzauppfzB5ZdF85A420ohRKPjae/LSIj/Xo6xx/H7qxFAOTt3o67tDBARR85qiq9s1c9B53EkPgkjiv8hDdyj2JXu2P558Yk3t8WxZ/Kd3k7rIlIy7JHQKeBbCxJ5IK7XmHxv+8iuWQ17Fji7XCYtxmWvuod26E3dD5uf1AbAPF9wB4W0PJFRCS4KGwFoQNntm7ccDXd482AhSKXweSlFTy72ElBObDoXzU+N/u1x1u20CNcaEQ0Ue3jcZVtY/iGx9nc4VSWdx5DJu3ItJ1Fx+uOZo4ri8TCUI6KKlMTDZEWttNpkNP9MpKP/SeUF8KWRfDbAtj+I+RugL3rva9qJjPEpHpnwNp3g3ZpEJkAEQe8HBGBuyAREWl1FLaCkLWiyPd191gzZW4LC7eUsyVyEMknpvKPtO1sWrGEHoNOIi6hI7m7fn+/KcfF65/+EMDqjzxVlS5MwMjUKi7tsIBZBV34xtUT2iXxWUUSny2BcHMlR4UV0j98H8dG5HNcXAXtY/SQLpHmlpGRccC7ZOh0FXS6CqurgPD8NYQXZBBauJmwgk3YKvbBvq3e1+b5tR/QHgER8RDewfu1Pdzbqt4e/vt7ewTYQsB6wOvA97ZQsDrAuv9PWyhY7HpmmIhIEFLYCkZmK3i8Xy729CPHiOLXXQs4elg8iZ0TiPIUUPybmW5J7Q56X+wpDWztR7DQiGgS4mI5v3wVuf97mq8tQ0kfeBz7YvtRYg1naXEcS4vjIBscG4o5PaGUEZ3KGRZXRLTNHejyRdqUPflFmICxY8fW+zOJESZ6tjfTN9HOX6++iFhTETZXPlZXPrbyPCzucu89YfnFkL/Fr/UamDAsdjxmOx6LA8Nsx7P/vWFx4LE4cFvDcdsifK8qWzhhsUnEdeoGIdE1X7YwhTcRkRZwRIWtKVOm8Mwzz5CVlcXRRx/NSy+9xHHHHRfoshrMYw2HKm+ThQ2kEUVBYAuSBqmqdGFxuyheO4/LBpURX/UdP6/Lhr4j2RPajXUV8ZRaI5iTF8GcPLDgoUdYKWmRVRR4bESfaGN+RQ8Kd7YjyuYmyuomyuYhyuom2uYm0urGrN+hROp0qJbxh/Pd6m1MmjKbV5e+f9C+cBskRZpJjDDRIcxEhN1EpAPvn3YTkXaIcJiIsJkIsUJo9Z/WP76HEKuJUBuY9wciEwYmtwuz2wWVRQedu6EMk4WqA4KZN6iF+wKbIzqemPjOEBIFjijvnyHR+7/e/6fV3uQ6RETauiMmbH344YfccccdTJ06leOPP54XXniBESNGsGHDBuLj4wNdnhyhQiIiiYgw0750CUeHbyOxM2TtWMC85ZvYETOIne2OpSAslfWlEawvBYghZmg6M10wc23txzRhEGmpop3dQ7TNTZTNTU5FJHHnpjCtsD3fLI8kxOzGQSXhVoNQcxUhZjcxoVbiokKJtHqItVURa6866NiGAS6PiVK3meyCEvJLKijzWHF5zMSFW+ncLpQYWxWheqaYBInaW8YfWkbm3kaFtDk/bWTim/N5+eYzOaaWz1XufzkP3GgYmPDw1bINPPvBQp7+y0kM6pWCCTdmowqT4cZ8wMtiVGDxVGAxKrF4KthXsI/tu7KJCTHtf0FMiAmr2YTJcGOrKMRW0fimSR6zDY8lBI/FgccSisca8v/t3XtwVPXdx/H32Us2IVduSQgkXBUBTbgEGKRWaeOF4cnIlIc6Dk6jlE5xgkpS6gTbkcgo0XaoadUGdDTQpw+PdazQDigIUYNWEUkmM1x8EAFJhJAEkZAEcttznj92s2RBK/gknA37ec2cOef89rdnP9nfbpLvnsviiIwlMibBt+csIto3d/fzXVikq80V6Tss0un2z7stuzzf3O70gMPp3xtndJs7vrtNe/B8v7wtE8xO8Hb45qbXP+8+XdzmBcsbPP+GtlMN9TSd/RrDMn2PZTixDN9YWIYTMLC6lg2H/zYncQn9SUpKBsPpH1//2BkO/+TstuyfHI5L24L6Ghe1d41/t9fBxW3/nz6W5X8euj1/Xc91YL3bcxdY7wTTvGj9W8bgkvZv69NJ45nTtJ5rxrC8vhyGA6vrfYHhHwPfeHSNCxj0i4kjYcBAcLh97zuHyzd1LQfa3OB0fUs/t28cu5a7nh+sbnPfa+T4ieN8ffo0YGF03YYFFhj4X0e+F2/Q7Qnx8Qy58Rbf75I+ImyKrT/84Q/84he/4IEHHgBgzZo1bNmyhVdeeYWCggKb012ZY63HAsvNzg7iTBvDSI+zOltJavpfbhk7mIGJ7Rxp2M6eQw00RSZS3RbLZ839GJsSizMymnZnNO2uC/NOZyQWBme9bs6eB877N+qMJXrCSHYDu6/gyvMu6wZSl/4nj5x14tzuoNV04uW7r6IYYXhxeUeTsmgWT5518/z7HgwsHIbvz5TvT5WJ0wAH4DAsDMvE47Soa81kwB2D+J/moew9lESU0yTSYRHpNHHgO4LWtKDlfCtt7R2YloEFVDWPIG7aPDY2jqKyKorYSAdLbmi5kqde5LJ9nyLt+9wP4EDNaepaLJKShzB+wvjLvt+2HVXc91+v+QrDCddxFqi2LBxWZ7fCrB2n2RE0r607RcWBI8R5fEVafCTEewziIw3iPQaxHt872GF24DA7gve0NQJ1V/TjyWWygr72xQiadS8ArIuKA8Myff9496JB/knsF++fQt1Q//R9nDT/m+TM/+jJOL0qLIqt9vZ2KioqWL58eaDN4XCQlZXFRx99dEn/trY22toufPlsY6Pvk7+zZ89e0tcO3vMXfmke+PQIJ71tHD/jxfvpF8SdPEvjV3Xfuv75Kd/PdaLJpPIy+netN5zzVXT7P6/hZD9Dj3c1Hq/ma+KaDRq/qsP84gAj00bjPdXBxx8dYdB1TsbfMIZ+sXG0nDlNw/FjJKaNxhPbn8ZzHdTWnaLDFU2HO5pOZzR17W4+b4pgynUpRMfH0dpu0nSuDXfcQCx3NO2mwfkOE68zkk5nFB0RsVgON+3+19m5di/gxffZu4/D24aLDiLoxPB20Gq56HTHYDnctAJg4IwZyLF2ONbOFYgjevwI3mmFdz797t4XAqURf3Mmb3YA1eBub2TU6V3ERP/7q8N1/RO894sGoqKPXvbD6X6639W4X0885vn2TprPX/wmdPunbp8O+z9HebvWyVNbDvDgnMmMS0m5cLt/95vRbBKBF6fhxYWJy/DixsuX9V9RXvkZUW6D6Ajo5zLo54Z+EcaFZf+hkhFOA7cDPC5wOw0inBDh9C17HBeWu7dL7xwx0O616PBCpwle06LT9C9bvrlpWXgt8PrbuuamCZ3mhduGDoojMtKDRdeHahYOw5fZ4d8rYXRbbmvv4Eyz70q8TofvkFkDcBj4Poi7eHIYl7Z16+sMwePnO/3Pp7f789nVZl14nk3rwhhc6H9hLDq/Yf3i8ereJ2P0EOJjo/GNhBUYD98zZAWWDSwMA75uOs+hmnpcDnA5DNxOcDnA7V/vWva1+9edXbc7SBw0AJdhYfj3uBtm50UFvv8RDd+yafnG3+VyYhgXUvnmXJhbdEvs+3mbzrXTXFtPP5v/J++qCSzru9+XhnU5vfq4EydOMHToUD788ENmzJgRaH/00UcpLy/n448/DupfWFjIE088cbVjioiIiIhIH1FTU8OwYcP+bZ+w2LN1pZYvX05+fn5g3TRNTp8+zcCBAwMVuN3Onj1LamoqNTU1xMXF2R0n7Gk8QovGI/RoTEKLxiO0aDxCj8YktITaeFiWRVNTEynd9/5/i7AotgYNGoTT6aSuLvhA8rq6OpKTky/p7/F48Hg8QW0JCQm9GfF7i4uLC4kXnfhoPEKLxiP0aExCi8YjtGg8Qo/GJLSE0njEx1/e2XHffab7NSAiIoIpU6ZQVlYWaDNNk7KysqDDCkVERERERHpKWOzZAsjPzycnJ4fMzEymTZtGcXExLS0tgasTioiIiIiI9KSwKbbuueceGhoaePzxxzl58iQTJ05k69atJCUl2R3te/F4PKxYseKSwx3FHhqP0KLxCD0ak9Ci8QgtGo/QozEJLX15PMLiaoQiIiIiIiJXW1icsyUiIiIiInK1qdgSERERERHpBSq2REREREREeoGKLRERERERkV6gYqsPeuGFFxgxYgSRkZFMnz6d3bt32x0pbO3cuZPs7GxSUlIwDINNmzbZHSmsFRUVMXXqVGJjY0lMTGTu3LkcPHjQ7lhhq6SkhPT09MCXUM6YMYO33nrL7lji9/TTT2MYBkuXLrU7StgqLCzEMIyg6YYbbrA7Vlg7fvw49913HwMHDiQqKoqbbrqJPXv22B0rbI0YMeKS94hhGOTm5tod7bKp2Opj/va3v5Gfn8+KFSuorKwkIyODO++8k/r6erujhaWWlhYyMjJ44YUX7I4iQHl5Obm5uezatYvt27fT0dHBHXfcQUtLi93RwtKwYcN4+umnqaioYM+ePfzoRz/i7rvvZv/+/XZHC3uffPIJa9euJT093e4oYW/ChAnU1tYGpg8++MDuSGHr66+/ZubMmbjdbt566y0OHDjA6tWr6d+/v93RwtYnn3wS9P7Yvn07APPnz7c52eXTpd/7mOnTpzN16lSef/55AEzTJDU1lYceeoiCggKb04U3wzDYuHEjc+fOtTuK+DU0NJCYmEh5eTk//OEP7Y4jwIABA/j973/Pz3/+c7ujhK3m5mYmT57Mn//8Z5588kkmTpxIcXGx3bHCUmFhIZs2baKqqsruKAIUFBTwr3/9i/fff9/uKPItli5dyubNmzl06BCGYdgd57Joz1Yf0t7eTkVFBVlZWYE2h8NBVlYWH330kY3JREJTY2Mj4PsHX+zl9Xp59dVXaWlpYcaMGXbHCWu5ubnMmTMn6G+J2OfQoUOkpKQwatQoFixYQHV1td2RwtY///lPMjMzmT9/PomJiUyaNImXXnrJ7lji197ezl//+lcWLlzYZwotULHVp5w6dQqv10tSUlJQe1JSEidPnrQplUhoMk2TpUuXMnPmTG688Ua744StvXv3EhMTg8fjYfHixWzcuJHx48fbHStsvfrqq1RWVlJUVGR3FMF3tMq6devYunUrJSUlHD16lFtuuYWmpia7o4WlI0eOUFJSwnXXXce2bdt48MEHefjhh1m/fr3d0QTYtGkTZ86c4f7777c7yhVx2R1ARKQ35Obmsm/fPp3/YLOxY8dSVVVFY2Mjr7/+Ojk5OZSXl6vgskFNTQ2PPPII27dvJzIy0u44AsyePTuwnJ6ezvTp0xk+fDivvfaaDrW1gWmaZGZmsmrVKgAmTZrEvn37WLNmDTk5OTank5dffpnZs2eTkpJid5Qroj1bfcigQYNwOp3U1dUFtdfV1ZGcnGxTKpHQs2TJEjZv3sy7777LsGHD7I4T1iIiIhgzZgxTpkyhqKiIjIwM/vjHP9odKyxVVFRQX1/P5MmTcblcuFwuysvL+dOf/oTL5cLr9dodMewlJCRw/fXX8/nnn9sdJSwNGTLkkg+Cxo0bp0M7Q8CxY8fYsWMHixYtsjvKFVOx1YdEREQwZcoUysrKAm2maVJWVqZzIEQAy7JYsmQJGzdu5J133mHkyJF2R5KLmKZJW1ub3THC0o9//GP27t1LVVVVYMrMzGTBggVUVVXhdDrtjhj2mpubOXz4MEOGDLE7SliaOXPmJV8X8tlnnzF8+HCbEkmX0tJSEhMTmTNnjt1RrpgOI+xj8vPzycnJITMzk2nTplFcXExLSwsPPPCA3dHCUnNzc9AnkEePHqWqqooBAwaQlpZmY7LwlJuby4YNG/jHP/5BbGxs4FzG+Ph4oqKibE4XfpYvX87s2bNJS0ujqamJDRs28N5777Ft2za7o4Wl2NjYS85fjI6OZuDAgTqv0SbLli0jOzub4cOHc+LECVasWIHT6eTee++1O1pYysvL4+abb2bVqlX89Kc/Zffu3bz44ou8+OKLdkcLa6ZpUlpaSk5ODi5X3ytd+l7iMHfPPffQ0NDA448/zsmTJ5k4cSJbt2695KIZcnXs2bOHWbNmBdbz8/MByMnJYd26dTalCl8lJSUA3HbbbUHtpaWlfe6E2mtBfX09P/vZz6itrSU+Pp709HS2bdvG7bffbnc0kZDw5Zdfcu+99/LVV18xePBgfvCDH7Br1y4GDx5sd7SwNHXqVDZu3Mjy5ctZuXIlI0eOpLi4mAULFtgdLazt2LGD6upqFi5caHeU70XfsyUiIiIiItILdM6WiIiIiIhIL1CxJSIiIiIi0gtUbImIiIiIiPQCFVsiIiIiIiK9QMWWiIiIiIhIL1CxJSIiIiIi0gtUbImIiIiIiPQCFVsiIiIiIiK9QMWWiIjIN3jvvfcwDIMzZ870SN/CwkImTpx4SVtSUhKGYbBp06b/V14REQk9KrZERKTPu//++zEMA8MwcLvdjBw5kkcffZTW1la7owUsW7aMsrKywPqnn37KE088wdq1a6mtrWX27NmMGDGC4uJi+0KKiEiPctkdQEREpCfcddddlJaW0tHRQUVFBTk5ORiGwTPPPGN3NABiYmKIiYkJrB8+fBiAu+++G8Mw7IolIiK9SHu2RETkmuDxeEhOTiY1NZW5c+eSlZXF9u3bATBNk6KiIkaOHElUVBQZGRm8/vrrQfd/8803uf7664mKimLWrFl88cUXQbcfO3aM7Oxs+vfvT3R0NBMmTODNN98M6lNRUUFmZib9+vXj5ptv5uDBg4Hbuh9GWFhYSHZ2NgAOhwPDMLjttts4duwYeXl5gb10IiLSt6nYEhGRa86+ffv48MMPiYiIAKCoqIi//OUvrFmzhv3795OXl8d9991HeXk5ADU1NfzkJz8hOzubqqoqFi1aREFBQdA2c3NzaWtrY+fOnezdu5dnnnkmaE8VwG9+8xtWr17Nnj17cLlcLFy48BvzLVu2jNLSUgBqa2upra3ljTfeYNiwYaxcuTLQJiIifZsOIxQRkWvC5s2biYmJobOzk7a2NhwOB88//zxtbW2sWrWKHTt2MGPGDABGjRrFBx98wNq1a7n11lspKSlh9OjRrF69GoCxY8cGCqou1dXVzJs3j5tuuimwjYs99dRT3HrrrQAUFBQwZ84cWltbiYyMDOoXExNDQkICAMnJyYF2p9NJbGxsUJuIiPRdKrZEROSaMGvWLEpKSmhpaeHZZ5/F5XIxb9489u/fz7lz57j99tuD+re3tzNp0iTAd7GK6dOnB93eVZh1efjhh3nwwQd5++23ycrKYt68eaSnpwf16b4+ZMgQAOrr60lLS+uxn1NERPoOFVsiInJNiI6OZsyYMQC88sorZGRk8PLLL3PjjTcCsGXLFoYOHRp0H4/Hc9nbX7RoEXfeeSdbtmzh7bffpqioiNWrV/PQQw8F+rjd7sBy1zlXpml+759JRET6Np2zJSIi1xyHw8Fjjz3Gb3/7W8aPH4/H46G6upoxY8YETampqQCMGzeO3bt3B21j165dl2w3NTWVxYsX88Ybb/CrX/2Kl156qUdzR0RE4PV6e3SbIiJiHxVbIiJyTZo/fz5Op5O1a9eybNky8vLyWL9+PYcPH6ayspLnnnuO9evXA7B48WIOHTrEr3/9aw4ePMiGDRtYt25d0PaWLl3Ktm3bOHr0KJWVlbz77ruMGzeuRzOPGDGCnTt3cvz4cU6dOtWj2xYRkatPhxGKiMg1yeVysWTJEn73u99x9OhRBg8eTFFREUeOHCEhIYHJkyfz2GOPAZCWlsbf//538vLyeO6555g2bRqrVq0Kupqg1+slNzeXL7/8kri4OO666y6effbZHs28cuVKfvnLXzJ69Gja2tqwLKtHty8iIleXYek3uYiIiIiISI/TYYQiIiIiIiK9QMWWiIiIiIhIL1CxJSIiIiIi0gtUbImIiIiIiPQCFVsiIiIiIiK9QMWWiIiIiIhIL1CxJSIiIiIi0gtUbImIiIiIiPQCFVsiIiIiIiK9QMWWiIiIiIhIL1CxJSIiIiIi0gv+D6dIKpPt8fooAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# box plot of redshift by class\n",
        "plt.figure(figsize=(8, 5))\n",
        "sns.boxplot(x=df['class'], y=df['redshift'])\n",
        "plt.title('Redshift by Class')\n",
        "plt.xlabel('Class')\n",
        "plt.ylabel('Redshift')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 406
        },
        "id": "e7yLzOXDtusH",
        "outputId": "f8354899-f3d5-4d7a-b8a5-b7e77368393f"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "This is probably the clearest finding so far:\n",
        "- **Stars** have redshift basically at 0 — they're in our galaxy, very close\n",
        "- **Galaxies** are in the middle, mostly between 0 and 1\n",
        "- **Quasars** have the highest redshift, going all the way up to 7 — they're extremely far away\n",
        "\n",
        "Redshift alone could probably do a decent job separating the three classes. This makes physical sense — the farther an object is, the more its light shifts to red.\n"
      ],
      "metadata": {
        "id": "7F_aGM19txfm"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Question 3: Can the light filters help tell the classes apart?\n"
      ],
      "metadata": {
        "id": "RA86CREHtzdd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# box plots for each light filter, grouped by class\n",
        "for col in ['u', 'g', 'r', 'i', 'z']:\n",
        "    plt.figure(figsize=(8, 5))\n",
        "    sns.boxplot(x=df['class'], y=df[col])\n",
        "    plt.title(f'{col} Filter by Class')\n",
        "    plt.xlabel('Class')\n",
        "    plt.ylabel(f'{col} value')\n",
        "    plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Tlr1KXH_t1-p",
        "outputId": "072b6d46-1afa-497a-9f55-9c81bb402de9"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The light filters do show differences between classes:\n",
        "- **Stars** tend to have the lowest values (brightest) across most filters — they're close to us so they appear brighter\n",
        "- **Quasars** have the most consistent (flat) readings across filters — their light is spread more evenly\n",
        "- **Galaxies** fall somewhere in between\n",
        "\n",
        "The `u` filter (ultraviolet) seems to be where the classes overlap the most, while the `r`, `i`, and `z` filters show clearer separation.\n"
      ],
      "metadata": {
        "id": "_6G-HK9Jt7pt"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Question 4: How correlated are the features?\n"
      ],
      "metadata": {
        "id": "OeFJZaQpt8ui"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# heatmap of correlations\n",
        "plt.figure(figsize=(10, 8))\n",
        "sns.heatmap(df.select_dtypes(include=[np.number]).corr().round(2), annot=True)\n",
        "plt.title('Correlation Heatmap')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 518
        },
        "id": "FPXcwcugt_g5",
        "outputId": "f9f90215-bef0-4207-b2bc-8e49a1a9c139"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvwAAAKqCAYAAABGj4plAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAp3NJREFUeJzs3Xd0VMX7x/HPhoRAgEAgBVAkNFFBCF0EwSAKSPengo2OdJSAFGkCCl9E6b1IRxFUpEkNvQbS6BB6TYHQMSRkf39EFpYka4hJNru8X+fcc9jZufc+d9jNzj47M9dgNBqNAgAAAGCXHKwdAAAAAID0Q4cfAAAAsGN0+AEAAAA7RocfAAAAsGN0+AEAAAA7RocfAAAAsGN0+AEAAAA7RocfAAAAsGN0+AEAAAA7RocfgE2aM2eODAaDzpw5k2bHPHPmjAwGg+bMmZNmxwQAwNro8AMwOXnypDp06KCiRYsqW7ZscnV1VbVq1TRu3Djdu3fP2uGlmUWLFmns2LHWDsNMq1atlDNnzmSfNxgM6tq1a7rGMHnyZL7sAIAdcrR2AAAyh1WrVumDDz6Qs7OzWrRoodKlS+v+/fvavn27vvrqKx06dEjTp0+3dphpYtGiRTp48KC+/PJLs/LChQvr3r17cnJysk5gVjZ58mS5u7urVatW1g4FAJCG6PAD0OnTp9W8eXMVLlxY/v7+KlCggOm5Ll26KCwsTKtWrfrP5zEajfr777+VPXv2RM/9/fffypo1qxwcrPfDo8FgULZs2ax2fgAA0gNDegDo+++/1+3btzVr1iyzzv5DxYsX1xdffGF6HBcXp2HDhqlYsWJydnaWt7e3vv76a8XExJjt5+3trQYNGmjt2rWqWLGismfPrmnTpmnz5s0yGAz65ZdfNGDAAD333HNycXHRzZs3JUl79uxR3bp1lTt3brm4uKhmzZrasWPHv17Hn3/+qfr166tgwYJydnZWsWLFNGzYMD148MBU580339SqVat09uxZGQwGGQwGeXt7S0p+DL+/v7/eeOMN5ciRQ3ny5FHjxo115MgRszrffPONDAaDwsLC1KpVK+XJk0e5c+dW69atdffu3X+NPTViYmI0ePBgFS9eXM7OzipUqJB69+6d6P9h9uzZqlWrljw9PeXs7KxXXnlFU6ZMMavj7e2tQ4cOacuWLaZ2efPNNyU9mi+xfft2de/eXR4eHsqTJ486dOig+/fv6/r162rRooXc3Nzk5uam3r17y2g0mh3/hx9+0Ouvv658+fIpe/bsqlChgpYuXZromh4OXVq4cKFKliypbNmyqUKFCtq6dWvaNh4APEPI8APQihUrVLRoUb3++uspqt+uXTvNnTtX77//vnr27Kk9e/ZoxIgROnLkiP744w+zuseOHdNHH32kDh06qH379ipZsqTpuWHDhilr1qzq1auXYmJilDVrVvn7+6tevXqqUKGCBg8eLAcHB1OHddu2bapcuXKycc2ZM0c5c+aUn5+fcubMKX9/fw0aNEg3b97UqFGjJEn9+/fXjRs3dOHCBY0ZM0aSLI6d37Bhg+rVq6eiRYvqm2++0b179zRhwgRVq1ZNgYGBpi8LD3344YcqUqSIRowYocDAQM2cOVOenp4aOXJkito2KioqRfXi4+PVqFEjbd++XZ9//rlefvllHThwQGPGjNHx48e1bNkyU90pU6aoVKlSatSokRwdHbVixQp17txZ8fHx6tKliyRp7Nix6tatm3LmzKn+/ftLkry8vMzO2a1bN+XPn19DhgzR7t27NX36dOXJk0c7d+7UCy+8oOHDh2v16tUaNWqUSpcurRYtWpj2HTdunBo1aqRPPvlE9+/f1y+//KIPPvhAK1euVP369c3Os2XLFi1evFjdu3eXs7OzJk+erLp162rv3r0qXbp0itoHAPAYI4Bn2o0bN4ySjI0bN05R/eDgYKMkY7t27czKe/XqZZRk9Pf3N5UVLlzYKMm4Zs0as7qbNm0ySjIWLVrUePfuXVN5fHy8sUSJEsY6deoY4+PjTeV37941FilSxPj222+bymbPnm2UZDx9+rRZvSd16NDB6OLiYvz7779NZfXr1zcWLlw4Ud3Tp08bJRlnz55tKvPx8TF6enoar169aioLCQkxOjg4GFu0aGEqGzx4sFGSsU2bNmbHbNq0qTFfvnyJzvWkli1bGiVZ3Lp06WKqP3/+fKODg4Nx27ZtZseZOnWqUZJxx44dFtulTp06xqJFi5qVlSpVylizZs1EdR+29ZP/L1WrVjUaDAZjx44dTWVxcXHG559/PtFxnozh/v37xtKlSxtr1aplVv7wWvft22cqO3v2rDFbtmzGpk2bJooNAPDvGNIDPOMeDqPJlStXiuqvXr1akuTn52dW3rNnT0lKNNa/SJEiqlOnTpLHatmypdl4/uDgYJ04cUIff/yxrl69qqioKEVFRenOnTt66623tHXrVsXHxycb2+PHunXrlqKiovTGG2/o7t27Onr0aIqu73GXL19WcHCwWrVqpbx585rKy5Qpo7ffftvUFo/r2LGj2eM33nhDV69eNbWzJdmyZdP69euT3J60ZMkSvfzyy3rppZdM7RQVFaVatWpJkjZt2mSq+3i73LhxQ1FRUapZs6ZOnTqlGzdu/HtD/KNt27YyGAymx1WqVJHRaFTbtm1NZVmyZFHFihV16tQps30fjyE6Olo3btzQG2+8ocDAwETnqVq1qipUqGB6/MILL6hx48Zau3at2fAsAEDKMKQHeMa5urpKSuggp8TZs2fl4OCg4sWLm5Xnz59fefLk0dmzZ83KixQpkuyxnnzuxIkTkhK+CCTnxo0bcnNzS/K5Q4cOacCAAfL390/UwX6aju1DD6/l8WFID7388stau3at7ty5oxw5cpjKX3jhBbN6D2ONjo42tXVysmTJotq1a6cothMnTujIkSPy8PBI8vmIiAjTv3fs2KHBgwdr165dieYT3LhxQ7lz507ROZ+8tof7FSpUKFF5dHS0WdnKlSv17bffKjg42GyOweNfIB4qUaJEorIXX3xRd+/eVWRkpPLnz5+ieAEACejwA884V1dXFSxYUAcPHnyq/ZLqqCUlqRV5knvuYfZ+1KhR8vHxSXKf5MbbX79+XTVr1pSrq6uGDh2qYsWKKVu2bAoMDFSfPn0s/jKQlrJkyZJkufGJSaz/VXx8vF599VWNHj06yecfdsJPnjypt956Sy+99JJGjx6tQoUKKWvWrFq9erXGjBnzVO2S3LUlVf749W7btk2NGjVSjRo1NHnyZBUoUEBOTk6aPXu2Fi1alOLzAwBShw4/ADVo0EDTp0/Xrl27VLVqVYt1CxcurPj4eJ04cUIvv/yyqTw8PFzXr19X4cKFUx1HsWLFJCV8CUlppvuhzZs36+rVq/r9999Vo0YNU/np06cT1U3pl5WH13Ls2LFEzx09elTu7u5m2f2MVKxYMYWEhOitt96yeD0rVqxQTEyMli9fbpahf3zIz0MpbZen9dtvvylbtmxau3atnJ2dTeWzZ89Osv7DX3oed/z4cbm4uCT7iwYAIHmM4Qeg3r17K0eOHGrXrp3Cw8MTPX/y5EmNGzdOkvTuu+9KUqI71T7MND+54srTqFChgooVK6YffvhBt2/fTvR8ZGRksvs+zDI/nlm+f/++Jk+enKhujhw5UjTEp0CBAvLx8dHcuXN1/fp1U/nBgwe1bt06U1tYw4cffqiLFy9qxowZiZ67d++e7ty5Iynpdrlx40aSne0cOXKYXWdayZIliwwGg9n4+zNnzpitJPS4Xbt2mY3tP3/+vP7880+98847yf7KAABIHhl+ACpWrJgWLVqkZs2a6eWXXza70+7OnTu1ZMkS091Xy5Ytq5YtW2r69OmmYTR79+7V3Llz1aRJE/n6+qY6DgcHB82cOVP16tVTqVKl1Lp1az333HO6ePGiNm3aJFdXV61YsSLJfV9//XW5ubmpZcuW6t69uwwGg+bPn5/kUJoKFSpo8eLF8vPzU6VKlZQzZ041bNgwyeOOGjVK9erVU9WqVdW2bVvTspy5c+fWN998k+pr/a8+++wz/frrr+rYsaM2bdqkatWq6cGDBzp69Kh+/fVX070P3nnnHWXNmlUNGzZUhw4ddPv2bc2YMUOenp66fPmy2TErVKigKVOm6Ntvv1Xx4sXl6elpmgT8X9SvX1+jR49W3bp19fHHHysiIkKTJk1S8eLFFRoamqh+6dKlVadOHbNlOSVpyJAh/zkWAHgmWXOJIACZy/Hjx43t27c3ent7G7NmzWrMlSuXsVq1asYJEyaYLWsZGxtrHDJkiLFIkSJGJycnY6FChYz9+vUzq2M0JizLWb9+/UTnebgs55IlS5KMIygoyPjee+8Z8+XLZ3R2djYWLlzY+OGHHxo3btxoqpPUspw7duwwvvbaa8bs2bMbCxYsaOzdu7dx7dq1RknGTZs2merdvn3b+PHHHxvz5MljlGRaojOpZTmNRqNxw4YNxmrVqhmzZ89udHV1NTZs2NB4+PBhszoPl+WMjIw0K08qzqS0bNnSmCNHjmSf1xPLchqNCUtbjhw50liqVCmjs7Oz0c3NzVihQgXjkCFDjDdu3DDVW758ubFMmTLGbNmyGb29vY0jR440/vTTT4niunLlirF+/frGXLlyGSWZltZ8eA0BAQEpuuakrmXWrFnGEiVKGJ2dnY0vvfSScfbs2ab9k7rOBQsWmOqXK1fO7P8PAPB0DEZjGs8kAwAglQwGg7p06aKJEydaOxQAsBuM4QcAAADsGB1+AAAAwI7R4QcAAADsGB1+AECmYTQaGb8PwK5t3bpVDRs2VMGCBWUwGJJdovhxmzdvVvny5eXs7KzixYtrzpw5T3VOOvwAAABABrlz547Kli2rSZMmpaj+6dOnVb9+ffn6+io4OFhffvml2rVrp7Vr16b4nKzSAwAAAFiBwWDQH3/8oSZNmiRbp0+fPlq1apUOHjxoKmvevLmuX7+uNWvWpOg8ZPgBAACAVIqJidHNmzfNtpiYmDQ7/q5du1S7dm2zsjp16mjXrl0pPkamudNubNQpa4dgc2qVbW/tEGzSvmth1g4Bz4jYB3HWDgHPCKcsmebjHHbu3r2z1g4hSdbsR46YOC/RncAHDx6cZndjv3Lliry8vMzKvLy8dPPmTd27d0/Zs2f/12PwFwIAAABIpX79+snPz8+szNnZ2UrRJI0OPwAAAJBKzs7O6drBz58/v8LDw83KwsPD5erqmqLsvkSHHwAAALYu/oG1I0g3VatW1erVq83K1q9fr6pVq6b4GEzaBQAAADLI7du3FRwcrODgYEkJy24GBwfr3LlzkhKGCLVo0cJUv2PHjjp16pR69+6to0ePavLkyfr111/Vo0ePFJ+TDD8AAABsmzHe2hGk2L59++Tr62t6/HD8f8uWLTVnzhxdvnzZ1PmXpCJFimjVqlXq0aOHxo0bp+eff14zZ85UnTp1UnzOTLMOP6v0PD1W6UkdVulBRmGVHmQUVulBRsm0q/SEH7PauZ28Slrt3CnFXwgAAADYtnjbyfBbA2P4AQAAADtGhx8AAACwYwzpAQAAgE0z2tCkXWsgww8AAADYMTL8AAAAsG1M2rWIDD8AAABgx+jwAwAAAHaMIT0AAACwbUzatYgMPwAAAGDHyPADAADAtsU/sHYEmRoZfgAAAMCO0eEHAAAA7BhDegAAAGDbmLRrERl+AAAAwI6lOsN/584dbdmyRefOndP9+/fNnuvevft/DgwAAABIEe60a1GqOvxBQUF69913dffuXd25c0d58+ZVVFSUXFxc5OnpSYcfAAAAyCRSNaSnR48eatiwoaKjo5U9e3bt3r1bZ8+eVYUKFfTDDz+kdYwAAABAsozGeKtttiBVHf7g4GD17NlTDg4OypIli2JiYlSoUCF9//33+vrrr9M6RgAAAACplKoOv5OTkxwcEnb19PTUuXPnJEm5c+fW+fPn0y46AAAAAP9JqsbwlytXTgEBASpRooRq1qypQYMGKSoqSvPnz1fp0qXTOkYAAAAgeUzatShVGf7hw4erQIECkqTvvvtObm5u6tSpkyIjIzV9+vQ0DRAAAABA6qUqw1+xYkXTvz09PbVmzZo0CwgAAAB4KjYyedZauPEWAAAAYMdS1eEPDw/XZ599poIFC8rR0VFZsmQx2wAAAABkDqka0tOqVSudO3dOAwcOVIECBWQwGNI6LgAAACBl4h9YO4JMLVUZ/u3bt2vhwoXq1KmTmjRposaNG5tt9mBf8AF16T1Yvo0+Uelq9bRx605rh2Q1TVs21q+7F2rDyb80bcVEvexTMtm63i8W1rDpg/Xr7oXadnGjPmj3nsVjf9KlubZd3KhuQzqnddg2Z+BAP506FaBr145p1aqFKlbM29oh2QTaLcE3g3vp/NlA3boRprV//aLixYv86z6dOrZU2PHdun3zpHZuX6FKFX1Mz7m55dHYMcN06OBW3boRplNhezVm9FC5uuZKx6vIeLRb+uL9+XQ6dGiho0e3Kzr6mLZuXaaKFctaOyTYiVR1+AsVKiSj0ZjWsWQq9+79rZLFi6p/z2e7I1qr0ZvqOrij5oyep3Z1Oyrs8En9uHCk8uTLk2T9bNmz6fK5y5o2fKauhl+1eOyXypZUo08bKOzwyXSI3Lb07NlRnTu3UvfuX6tGjca6c+euVqyYL2dnZ2uHlqnRbgm+6tVZXbu0UeeuffV69Ya6c/euVq9caLEdPvigkX4YNVjDvh2tSlXqKiT0sFavWigPj3ySpIIFvVSwoJf69BmmsuXeUtt2PVSnjq9mTP8xoy4r3dFu6Yv359N5//0GGjlygL77bpyqVm2g0NAjWr58vum1hX9hjLfeZgMMxlT03NetW6cff/xR06ZNk7e3d5oEEht1Kk2Okx5KV6uncSMG6q0ar1s7FDO1yrZP93NMWzFRR0KOaeyACZIkg8Gg3wJ+0W+z/9DCSb9Y3PfX3Qu1ZOZvWjLz90TPZXfJpllrp+nHr8epZfdPdOLwSU0YPDldruFJ+66FZch5nsapUwEaP36Gxo5NWNbW1TWXzp7dp88/76UlS1ZYObrMK7O3W+yDuAw5z/mzgRozdppGj5kmKaEdLl0IVpt2PfTrr8uT3Gfn9hUK2BeiL74cICnhvX3mVIAmTZ6t70dNSnKf//u/Bpo3Z7xc85TQgwe2//O5PbWbU5ZUjdBNV5n9/ZnZbN26TPv3h6pHj0GSEl5bYWG7NWXKHP3wwxQrR/fIvXtnrR1CkmKObLLauZ1f9rXauVMqxRl+Nzc35c2bV3nz5lXz5s21efNmFStWTLly5TKVP9xgHxydHPVimRe1f1ugqcxoNGrf9kCVqvDKfzp2j+FfaNfG3WbHflZ5exdSgQKe8vffbiq7efOWAgKCVaVKeStGlrnRbgmKFHlBBQp4aeMT7bB3b5Beq1IhyX2cnJxUvnwZbfTfZiozGo3a6L9dr72W9D6SlNs1l27evG0XnX3aLX3x/nw6Tk5OKlfuVbP2MhqN8vffrsqVaa8UiY+33mYDUpwSGDt2bDqGgcwod97ccnTMomtR0Wbl0ZHRKlysUKqP+1YjX71Yurg+r/9sD5d6KH9+T0lSRESUWXlERJS8vDysEZJNoN0S5PdKaIfw8Eiz8vCIKFMbPcndPa8cHR0VEf5k20XqpZLFktwnXz439f/6S82ctTANorY+2i198f58Ou7ubgmvrSTaq2Qyry3gaaS4w9+yZcs0O2lMTIxiYmLMyhxiYhjX9wzwLOih7kO7yO+j3rofE2vtcKyiefMmmjBhuOlx06atrRiN7aDdEnz0UVNNmTTS9LhR4xbpfs5cuXJqxZ/zdOTIcQ0Zaptj0Wm39MX7E8jcUj3o78GDB/rjjz905MgRSdIrr7yixo0by9Hx3w85YsQIDRkyxKxswFfdNaj3F6kNB+ngxrUbiot7oLzubmblbh5uuhp5LVXHLPnqi8rr4aaZa6aayhwds6jsa2X0XqsmeqtIXcXbyM9jqbVy5Xrt3RtkeuzsnFWS5OnpritXIkzlnp7uCg09nOHxZVa0W4IVK9Yl2Q5eXh5m7eDl6a7gkENJHiMq6pri4uLk6eVuVu7p6aErT2S8c+bModUrF+rWrTv6vw/aKS4uY+YlpDXaLX3x/vxvoqKiE15bnk++ttx15UpkMnvBjI1MnrWWVHX4Dx06pEaNGunKlSsqWTJhicaRI0fKw8NDK1asUOnSpS3u369fP/n5+ZmVOdy6mJpQkI7iYuN0PPS4KlQvp21rd0hKmERUoXo5/T57WaqOuW97oFrUamtW1m/0Vzp38rwWTvrF7jv7knT79h3dvn3HrOzy5Qj5+lYzfRDmypVTlSr5aMaMBdYIMVOi3RIk3Q7hquVbXSH/dFRz5cqpypXLaer0eUkeIzY2VoGBoarlW13Ll6+VlPDeruVbXZOnzDbVy5Urp/5atUgxMTFq8l6rRL/M2hLaLX3x/vxvYmNjFRR0QL6+1bRixTpJCa8tX99qmjp1rpWjgz1IVYe/Xbt2KlWqlPbt2yc3t4Tsb3R0tFq1aqXPP/9cO3daXrPe2dk50fCd2PtRydS2jrt37+nchUumxxcvhevo8ZPK7ZpLBZIZ32mPFs9Yqq/H9NHR0OM6EnRUH7T/P2XPnk2rFyd82PUf10dRl6M07X+zJCVM9PV+sbAkycnJUR753VW8VDHdu3NPF89c0r0793T62Bmzc/x992/diL6ZqPxZMmnSLPXp001hYad15sx5DR7cU5cvR2j58nXWDi1To90SjJ8wU1/3664TYad05sx5DfnmK126FK4//1xrqrNuzWIt+/MvTZ4yR5I0ZtwMzZ41RvsDQxUQEKTu3dorR47smjN3saSEztma1T8ru0s2tWjVTa6uuUxryUdGXrWLL+e0W/ri/fl0xo+fqRkzftT+/aHaty9EXbu2kYuLi+bNW2Lt0GzDM/TeSo1UdfiDg4PNOvtSwio+3333nSpVqpRmwVnTwaMn1KZbH9Pj7yckLCvWuF5tfTegp7XCynD+yzcrT97caturlfJ6uCns0En1+rSvov+ZyOtV0FPG+Ecru7p75dPsddNNjz/q1EwfdWqmoJ3B6v7Bs9NuT+vHH6fKxcVFEyeOUJ48rtq5c58aNWrxTGQG/wvaLcGoHyYrRw4XTZ38vfLkcdWOHQGq3/BTs3YoWrSw3N0fraK2ZMlyebjn1TeDeil/fg+FhBxS/QafmiYNli/3qmk1leNHzZM4xUpU0dmzFzLgytIX7Za+eH8+naVLV8rdPZ8GDfKTl5eHQkMPq3HjFokm8gKpkap1+MuWLasxY8aoVq1aZuX+/v764osvdODAgacOJDOvw59ZZcQ6/PYoM67DD/uUUevwA5lxHX7Yp0y7Dn/o2n+vlE6cy9Sx2rlTKlV/IUaMGKHu3bvrm2++0WuvvSZJ2r17t4YOHaqRI0fq5s2bprqurq5pEykAAACQBKPx2bnPRWqkqsPfoEEDSdKHH34og8EgKeEGEZLUsGFD02ODwfBM3WgEAAAAyGxS1eHftMl6ty8GAAAAzLAsp0Wp6vDXrFkzreMAAAAAkA5S3OEPDQ1N8UHLlCmTqmAAAACAp8aynBaluMPv4+Mjg8Ggf1vUh3H7AAAAQOaR4g7/6dOn0zMOAAAAAOkgxR3+woULJyo7fPiwzp07p/v375vKDAZDknUBAACAdMGkXYtSNWn31KlTatq0qQ4cOGA2zOfhEp0M6QEAAAAyB4fU7PTFF1+oSJEiioiIkIuLiw4ePKitW7eqYsWK2rx5cxqHCAAAAFgQ/8B6mw1IVYZ/165d8vf3l7u7uxwcHJQlSxZVr17ddAfeoKCgtI4TAAAAQCqkKsP/4MED5cqVS5Lk7u6uS5cuSUoY53/s2LG0iw4AAADAf5KqDH/p0qUVEhKiIkWKqEqVKvr++++VNWtWTZ8+XUWLFk3rGAEAAIDkMWnXolR1+AcMGKA7d+5IkoYOHaoGDRrojTfeUL58+bR48eI0DRAAAABA6qWqw1+nTh3Tv4sXL66jR4/q2rVrcnNzM63UAwAAAGQI7rRrUao6/EnJmzdvWh0KAAAAQBpJsw4/AAAAYBWM4bcoVav0AAAAALANdPgBAAAAO8aQHgAAANg2Ju1aRIYfAAAAsGNk+AEAAGDbyPBbRIYfAAAAsGN0+AEAAAA7xpAeAAAA2DSj8YG1Q8jUyPADAAAAdowMPwAAAGwbk3YtIsMPAAAA2DEy/AAAALBtRjL8lpDhBwAAAOwYHX4AAADAjjGkBwAAALaNSbsWkeEHAAAA7FimyfDXKtve2iHYHP+QGdYOwSa5FvK1dgh4RjgYDNYOweZkcchi7RDwjMjh5GztEJCWmLRrERl+AAAAwI7R4QcAAADsWKYZ0gMAAACkCpN2LSLDDwAAANgxMvwAAACwbUzatYgMPwAAAGDHyPADAADAtjGG3yIy/AAAAIAdo8MPAAAA2DGG9AAAAMC2MaTHIjL8AAAAgB0jww8AAADbxrKcFpHhBwAAAOwYHX4AAADAjjGkBwAAALaNSbsWkeEHAAAA7BgZfgAAANg2Ju1aRIYfAAAAsGN0+AEAAAA7xpAeAAAA2DYm7VpEhh8AAACwY2T4AQAAYNuYtGsRGX4AAADAjv3nDP/ff/+t+/fvm5W5urr+18MCAAAAKcMYfotSleG/e/euunbtKk9PT+XIkUNubm5mGwAAAIDMIVUd/q+++kr+/v6aMmWKnJ2dNXPmTA0ZMkQFCxbUvHnz0jpGAAAAAKmUqiE9K1as0Lx58/Tmm2+qdevWeuONN1S8eHEVLlxYCxcu1CeffJLWcQIAAABJY0iPRanK8F+7dk1FixaVlDBe/9q1a5Kk6tWra+vWrWkXHQAAAID/JFUd/qJFi+r06dOSpJdeekm//vqrpITMf548edIsOAAAAOBfGY3W22xAqjr8rVu3VkhIiCSpb9++mjRpkrJly6YePXroq6++StMAAQAAAKReqsbw9+jRw/Tv2rVr6+jRo9q/f7+KFy+uMmXKpFlwAAAAAP6bVGX4582bp5iYGNPjwoUL67333tNLL73EKj0AAADIWPHx1ttsQKqH9Ny4cSNR+a1bt9S6dev/HFR6atqysX7dvVAbTv6laSsm6mWfksnW9X6xsIZNH6xfdy/Utosb9UG79ywe+5MuzbXt4kZ1G9I5rcO2CfuCD6hL78HybfSJSlerp41bd1o7JJvRoUMLHT26XdHRx7R16zJVrFjW2iFlerSZucGDeunsmf26cT1Mf/31s4oXL/Kv+3Ts2FLHj+3SzRth2r5thSpW9DF7vm3bT7R+3RJFRR7R/ZgLyp372b6p4sCBfjp1KkDXrh3TqlULVayYt7VDytR4jz7Spv0nCjzgrwsRB7TWf4nKVbA8GqJRk7ratW+NLkQc0NZdK1T7nZpmz/fu10279q3R2cvBCjsboN/+nKPyFRlhgeSlqsNvNBplMBgSlV+4cEG5c+f+z0Gll1qN3lTXwR01Z/Q8tavbUWGHT+rHhSOVJ1+eJOtny55Nl89d1rThM3U1/KrFY79UtqQafdpAYYdPpkPktuHevb9VsnhR9e/5bH7hSa3332+gkSMH6Lvvxqlq1QYKDT2i5cvny8Mjn7VDy7RoM3O9enZWly6t1bVbP1Wv3lB379zVypUL5OzsnOw+H7zfUKO+H6RvvxujKlXqKfTAYa1aucCsDV1csmndus0aOXJiRlxGptazZ0d17txK3bt/rRo1GuvOnbtasWK+xTZ+lvEefaTJe+9q2PB+GvW/iar1RhMdOnBUS36fJXf3vEnWr1S5nKb/NFoL5y2Rb/UmWr1qg+YtmqSXXi5hqnMy7LT69BqqGlUbqn6dj3T+3EUt/WO28uV7hm9+SobfIoPRmPLpxeXKlZPBYFBISIhKlSolR8dHUwAePHig06dPq27duqZVe57GG8+99dT7PK1pKybqSMgxjR0wQZJkMBj0W8Av+m32H1o46ReL+/66e6GWzPxNS2b+nui57C7ZNGvtNP349Ti17P6JThw+qQmDJ6fLNTzOP2RGup8jtUpXq6dxIwbqrRqvWzuURFwL+Vo7BDNbty7T/v2h6tFjkKSE12VY2G5NmTJHP/wwxcrRZU620mYP4h9kyHnOntmvseOma8yYaZIkV9dcunA+SO3a+enXJcuT3Gf7thXatz9EX345QFJCG546GaDJk2dr1A+TzOrWqFFVG9YvkYfnK7px42a6XksWhyzpevzUOnUqQOPHz9DYsdMlJbTx2bP79PnnvbRkyQorR5f52MJ7NIdTxnxZW+u/REGBB9S311BJCW0RemSrZkybr/FjpieqP3P2WLnkyK6PP+xgKluz8VcdDD2iXj0GJ3mOnLly6MzFIDVt2FLbtuxKnwv5R9TN4+l6/NS6t3Cg1c6d/ZNhVjt3Sj1Vhr9JkyZq3LixjEaj6tSpo8aNG5u25s2ba9q0aVqwYEF6xfqfODo56sUyL2r/tkBTmdFo1L7tgSpV4ZX/dOwew7/Qro27zY4NpISTk5PKlXtV/v7bTWVGo1H+/ttVuXJ5K0aWedFm5ooUeUEFCnjJf+M2U9nNm7e0d2+wqrxWIcl9nJycVL78q/L3f7RPQhtu02uvPXtt+G+8vQupQAFPs9fczZu3FBAQrCpVaK8n8R59xMnJSWV9SmnLpkdDXI1Go7Zs3qlKlX2S3KdiZR9t2Ww+JHbTxu2qWLlcsudo2aqZbly/qUMHjqZZ7DbHGG+9zQY81So9gwcnfLP09vZWs2bNlC1btnQJKj3kzptbjo5ZdC0q2qw8OjJahYsVSvVx32rkqxdLF9fn9RnGgqfn7u4mR0dHRUREmZVHRESpZMliVooqc6PNzHl5eUiSwhO1R6Ty//Pck9zd88rR0VHh4ZFP7BOlkiWLp0+gNix/fk9JSvI155VMGz/LeI8+ki9fQltERpq3RWRElEq8WDTJfTy93BWZRNt5ermblb1T901N/2mMXFyyK/xKpN5v0lrXrpn3cYCHUjWGv2XLlv+psx8TE6ObN2+abfE28g3pcZ4FPdR9aBcN6zZC92NirR0OgGfAR82b6trVY6bNycnJ2iHZnebNmygy8rBpe3z4KpBZbN+6R77VG6ve2820ccNWzZwzNtl5AUCK/4q5ubklOVE3KdeuXbP4/IgRIzRkyBCzskI5vVXYNelvu2nhxrUbiot7oLzu5hNa3DzcdDXScrzJKfnqi8rr4aaZa6aayhwds6jsa2X0XqsmeqtIXcXbyGQOWEdUVLTi4uLk6WmeufH0dNeVK5HJ7PVse9bbbMXKddobEGR67Jw1qyTJy9NdV65EmMo9PT0UEnooyWNERV1TXFxcouy0p6e7wsMjktznWbJy5Xrt3ftYGzsntLFnojZ2V2jo4QyPL7N71t+jj7t6NaEtPDzM28LD010R4Um3RUR4lDySaLuIcPOs/92793T61DmdPnVO+wNCtDdonT5p8YHGjZ6WthdhK+hvWZTiDv/YsWPT7KT9+vWTn5+fWVm9lxqn2fGTEhcbp+Ohx1WhejltW7tDUsLEmQrVy+n32ctSdcx92wPVolZbs7J+o7/SuZPntXDSL3T28a9iY2MVFHRAvr7VtGLFOkkJr0tf32qaOnWulaPLnJ71Nrt9+45u375jVnb5crh8a1VXyD+dz1y5cqpyZR9Nn570fVFiY2MVGHhAvr7VtXz5WkkP27C6pkyZk67x24Kk2zhCvr7VTB38XLlyqlIlH82YkTnnrVnTs/4efVxsbKxCgg+pxptV9deqDZIS2qJGzaqaOT3p186+vcGqUbOqpk1+1FY1fV/Xvse+hCbF4OBg+nKKzG/SpEkaNWqUrly5orJly2rChAmqXLlysvXHjh2rKVOm6Ny5c3J3d9f777+vESNGpHjETYo7/C1btkxp1X/l7OycaCkzB0OqRhc9lcUzlurrMX10NPS4jgQd1Qft/0/Zs2fT6sUJH3j9x/VR1OUoTfvfLEkJE329XywsSXJycpRHfncVL1VM9+7c08Uzl3Tvzj2dPnbG7Bx/3/1bN6JvJip/Fty9e0/nLlwyPb54KVxHj59UbtdcKvDPGFgkNn78TM2Y8aP27w/Vvn0h6tq1jVxcXDRv3hJrh5Zp0WbmJkyYpX59uyss7LTOnD6vb77ppUuXw/XnP515SVqz5hf9+ecaU4d+3LjpmjVrjAL3hyhgX7C6dWunHDmya+68xaZ9vLw8lN/Lw7TefOnSL+n2rds6d/6SoqOvZ+AVWt+kSbPUp0+3hDY+c16DB/fU5csRWr58nbVDy5R4jz4yZeJsTZw6UsFBBxW4L1QdO7eUi0t2/bzgN0nSpGnf6/KlcH075EdJ0rQpc7X8rwXq3LWN1q3drPfery+fcqXl1z1hFRoXl+zq0auT1vy1UeFXIpUvn5vatP9EBQp46c8//rLadVpdyhedtLrFixfLz89PU6dOVZUqVTR27FjVqVNHx44dk6dn4v7SokWL1LdvX/300096/fXXdfz4cbVq1UoGg0GjR49O0TlTPTDx5MmTmj17tk6ePKlx48bJ09NTf/31l1544QWVKlUqtYdNV/7LNytP3txq26uV8nq4KezQSfX6tK+i/5nI61XQU8b4Ry8Yd698mr3u0ZJZH3Vqpo86NVPQzmB1/6Bnhsef2R08ekJtuvUxPf5+QkLbNa5XW98NoL2Ss3TpSrm759OgQX7y8vJQaOhhNW7cItGENzxCm5n74cfJypHDRZMnjVSePK7asTNADRt+anZH9KJFCss936PxvUuWrpC7Rz4NGtRL+fN7KCTksBo0/MysDT9v/5kGDnz0a+wm/4Rlidu266H585+tjtuPP06Vi4uLJk4coTx5XLVz5z41atTCrI3xCO/RR5b9vlr53POq79fd5enloYMHjujD/2uryMiE+/s8/3wBsxEBAXuD1KFtT3098Ev1H+ynUyfPqMXHXXT0yAlJCcugl3ixqJp/3FR587kp+lq0ggIPqGHdj3XsaJhVrhFPZ/To0Wrfvr3pZrVTp07VqlWr9NNPP6lv376J6u/cuVPVqlXTxx9/LClh8ZyPPvpIe/bsSfE5n2od/oe2bNmievXqqVq1atq6dauOHDmiokWL6n//+5/27dunpUuXPu0hM2QdfnuTmdfhz8wy2zr8sF8ZtQ6/Pcms6/DD/mTUOvz2JtOuwz83cUc5ozg0H5Loy39So1kk6f79+3JxcdHSpUvVpEkTU3nLli11/fp1/fnnn4n2WbRokTp37qx169apcuXKOnXqlOrXr6/PPvtMX3/9dcpifLpLStC3b199++23Wr9+vbJmfTRerFatWtq9e3dqDgkAAACkjhXvtDtixAjlzp3bbBsxYkSSYUZFRenBgwfy8vIyK/fy8tKVK1eS3Ofjjz/W0KFDVb16dTk5OalYsWJ68803U9zZl1LZ4T9w4ICaNm2aqNzT01NRUc/ez3UAAAB4NvXr1083btww2/r165dmx9+8ebOGDx+uyZMnKzAwUL///rtWrVqlYcNSfoffVI3hz5Mnjy5fvqwiRYqYlQcFBem5555LzSEBAACA1LHiyojJDd9Jiru7u7JkyaLw8HCz8vDwcOXPnz/JfQYOHKjPPvtM7dq1kyS9+uqrunPnjj7//HP1799fDg7/nr9PVYa/efPm6tOnj65cuSKDwaD4+Hjt2LFDvXr1UosWLVJzSAAAAMCuZc2aVRUqVNDGjRtNZfHx8dq4caOqVq2a5D53795N1KnPkiVhvlNKp+KmKsM/fPhwdenSRYUKFdKDBw/0yiuvKC4uTp988okGDBiQmkMCAAAAqWO0nXsf+fn5qWXLlqpYsaIqV66ssWPH6s6dO6ZVe1q0aKHnnnvONA+gYcOGGj16tMqVK6cqVaooLCxMAwcOVMOGDU0d/3+Tqg5/1qxZNWPGDA0aNEgHDhzQ7du3Va5cOZUoUSI1hwMAAACeCc2aNVNkZKQGDRqkK1euyMfHR2vWrDFN5D137pxZRn/AgAEyGAwaMGCALl68KA8PDzVs2FDfffddis+Z4mU5n7wzriUpvQnA41iW8+mxLGfqsCwnMgrLcj49luVERmFZztTJtMtyzkx5PzWtZW/39P3ejJbiDH9QkPktnQMDAxUXF6eSJUtKko4fP64sWbKoQoUKaRshAAAAYMHjN05FYinu8G/atMn079GjRytXrlyaO3eu3NzcJEnR0dFq3bq13njjjbSPEgAAAECqpGoM/48//qh169aZOvuS5Obmpm+//VbvvPOOevbsmWYBAgAAABZZcVlOW5CqZTlv3rypyMjIROWRkZG6devWfw4KAAAAQNpIVYe/adOmat26tX7//XdduHBBFy5c0G+//aa2bdvqvffeS+sYAQAAAKRSqob0TJ06Vb169dLHH3+s2NjYhAM5Oqpt27YaNWpUmgYIAAAAWGRD6/BbQ6o6/C4uLpo8ebJGjRqlkydPSpKKFSumHDlypGlwAAAAAP6bVHX4H8qRI4fKlCmTVrEAAAAAT49lOS1K1Rh+AAAAALbhP2X4AQAAAKtjWU6LyPADAAAAdowOPwAAAGDHGNIDAAAA28aQHovI8AMAAAB2jAw/AAAAbJuRZTktIcMPAAAA2DE6/AAAAIAdY0gPAAAAbBuTdi0iww8AAADYMTL8AAAAsG3xTNq1hAw/AAAAYMfI8AMAAMC2GRnDbwkZfgAAAMCO0eEHAAAA7BhDegAAAGDbmLRrERl+AAAAwI5lmgz/vmth1g7B5rgW8rV2CDbp5vlN1g4BzwjvEg2tHQKeEWdOrLB2CDbH7YW3rB0C0pCRG29ZRIYfAAAAsGN0+AEAAAA7lmmG9AAAAACpwqRdi8jwAwAAAHaMDD8AAABsG3fatYgMPwAAAGDHyPADAADAtjGG3yIy/AAAAIAdo8MPAAAA2DGG9AAAAMC2caddi8jwAwAAAHaMDD8AAABsG5N2LSLDDwAAANgxOvwAAACAHWNIDwAAAGwbd9q1iAw/AAAAYMfI8AMAAMC2MWnXIjL8AAAAgB2jww8AAADYMYb0AAAAwKYZudOuRWT4AQAAADtGhh8AAAC2jUm7FpHhBwAAAOwYGX4AAADYNjL8FpHhBwAAAOwYHX4AAADAjjGkBwAAALbNyLKclpDhBwAAAOwYGX4AAADYNibtWkSGHwAAALBjdPgBAAAAO8aQHgAAANg0I0N6LCLD/y8GDvTTqVMBunbtmFatWqhixbytHVKm1qFDCx09ul3R0ce0desyVaxY1tohZXr7gg+oS+/B8m30iUpXq6eNW3daO6RMjzYz17LdR9odsk4nLwdqxfqf5VP+VYv1GzR+R1v2rNDJy4HasOMP1Xr7DbPnx0z6ThejD5ltC5ZMS89LsAraLf3wHn3k8w6f6dCRbYq6dlSbtvyhCv/yudi06bsKDNqgqGtHtWfvX3qnzptmzzdqXEd/Lp+ns+cDdfvuab1a5uV0jB72gg6/BT17dlTnzq3UvfvXqlGjse7cuasVK+bL2dnZ2qFlSu+/30AjRw7Qd9+NU9WqDRQaekTLl8+Xh0c+a4eWqd2797dKFi+q/j07WzsUm0GbPdKoaV0N/ra3Ro+crLpvfqDDB49p4W/TlM89b5L1K1b20aSZo/Tzgt9Vp+b7WrvKX7MWTFDJl4ub1fPfsE0+JWuati7tvsqIy8kwtFv64j2a4P/+r75G/K+/Rgwfp+qvN9DBA0e07M+5yX4uVqlSXrPnjtPcub+qWtX6WrlyvX5ZPE2vvPKiqY6Li4t27QrQoIEjM+oybEO80XqbDaDDb0GXLm01cuRErVy5XgcPHlW7dn4qUMBTjRq9Y+3QMqXu3dtp9uxfNH/+Eh09ekLdun2te/fuqWXLD60dWqb2RtVK6v55S9WuWc3aodgM2uyR9p1batG8pfp10TKdOHZSff2G6N7dv9X80/eSrN+2w6favHG7pk6YrbDjpzRq+AQdDDms1u0/Nqt3P+a+IiOiTNuNGzcz4nIyDO2WvniPJujavZ3mzF6sBfOX6ujRMHXv1l/37t3TZy0+SLJ+5y6ttX79Fo0bO13Hjp3UsKGjFRx8SB06tjDV+eXnP/S/ERO0yX97Rl0G7AAd/mR4exdSgQKe8n/sDXXz5i0FBASrSpXyVowsc3JyclK5cq+atZfRaJS//3ZVrkx7AenByclJZXxe0bbNu0xlRqNR27fsVoVKSQ8bqFDZR9s27zYr2+y/QxUq+ZiVVa1eSSHHt2rr3pUa8eNAubnlTvP4rYV2Q0ZI+FwsrU2bzD8XN/nvUOVk+hGVq5TTJv8dZmUbN2zlczQl4uOtt9mAVE3aHTp0qMXnBw0alKpgMpP8+T0lSRERUWblERFR8vLysEZImZq7u5scHR2TbK+SJYtZKSrAvuXNl0eOjo6KirxqVh4ZeVXFShRJch8PT3dFPlE/KvKqPDwfDTHYtHG7Vq/coPNnL6iwdyH1Hfil5i+ZpkbvfKx4G/lws4R2Q0bI9/BzMTzx5+KLyXwuenl5KJJ+B9JBqjr8f/zxh9nj2NhYnT59Wo6OjipWrNi/dvhjYmIUExNjVmY0GmUwGFITTppo3ryJJkwYbnrctGlrq8UCANa0/Pe/TP8+eviEjhw6rl3Ba/V69UravnWPFSPL3Gg3AJlVqjr8QUFBicpu3rypVq1aqWnTpv+6/4gRIzRkyBCzsixZXOXklCc14aSJlSvXa+/eR9fl7JxVkuTp6a4rVyJM5Z6e7goNPZzh8WV2UVHRiouLk6enu1l5QvtFWikqwL5du3pdcXFxcn9iAqCHR75EWcKHIiOiEk0YdPfIp8iIq0nWl6RzZy/oatQ1eRd9wS46rrQbMsLVh5+LXok/F8PDk/5cDA+PlEcSn6PJ1cdjbGTyrLWk2Rh+V1dXDRkyRAMHDvzXuv369dONGzfMNkdH645zvH37jk6dOmvajhw5ocuXI+Tr+2jCUa5cOVWpko/27Am0YqSZU2xsrIKCDpi1l8FgkK9vNe3dS3sB6SE2NlahwYdVveZrpjKDwaDqNapof0BIkvvs3xtsVl+SavhW1f6A4GTPU6Cgl9zy5lF4eNKdYVtDuyEjJHwuHtSbb5p/Lr7p+7r2JtOP2LsnSG/6mk909q1Vnc9R/GdpeuOth533f+Ps7JxoaUtrDudJzqRJs9SnTzeFhZ3WmTPnNXhwT12+HKHly9dZO7RMafz4mZox40ft3x+qfftC1LVrG7m4uGjevCXWDi1Tu3v3ns5duGR6fPFSuI4eP6ncrrlU4J+5JDBHmz0yY/JcjZk8XKFBhxQUeEDtO32m7Dmya/HChKGX46YM1+XLEfrf0LGSpFnTFmjpyjnq0KWlNqzbqsbv1VMZn9Lq/eU3kiSXHC7y69NJq5evV0R4lLyLFFL/IT115tQ5bdloP6uC0G7pi/dogonjZ2rajB8VGBiq/ftC1OWfz8UF85dKkqbP+FGXLl3RN4NHSZImT5qtNet+Ubfu7bR2jb/e/6Chypd/Vd27fm06pptbbj1fqKAKFPCSJL1YoqikhF8Hnpwv8Ewhw29Rqjr848ePN3tsNBp1+fJlzZ8/X/Xq1UuTwDKDH3+cKhcXF02cOEJ58rhq5859atSoRaL5B0iwdOlKubvn06BBfvLy8lBo6GE1btwi0URemDt49ITadOtjevz9hOmSpMb1auu7AT2tFVamRps9svyPNcrrnle9vu4qD093HTpwVJ++38E0IbXg8wUU/9gH4b69weravrd69++uPgO/1OlTZ9X20246diRMkhT/4IFefqWkPmjeWK65XRV+JUJb/Hdq1PAJun8/1irXmB5ot/TFezTBb7+tkrtHPg0Y6CcvL3eFhh5R0yatTJ+LhQoVNJvQvWdPoNq0+lIDB/fUN0N66WTYGTVv1kGHDx831Xm3fm1Nm/6D6fHc+RMlScO/G6vh343LoCuDrTEYjcan/kpUpIj5KgYODg7y8PBQrVq11K9fP+XKleupA8mevfBT7wOkxs3zm6wdAp4R3iUaWjsEPCPOnFhh7RBsjtsLb1k7BJt0++5pa4eQpFsd61rt3LmmrrHauVMqVRn+06cz5382AAAAnj2pyF8/U7jxFgAAAGDH0nTSLgAAAJDhmLRrERl+AAAAwI6R4QcAAIBtI8NvERl+AAAAwI7R4QcAAADsGEN6AAAAYNOMDOmxiAw/AAAAYMfI8AMAAMC2keG3iAw/AAAAYMfo8AMAAAB2jCE9AAAAsG3x1g4gcyPDDwAAANgxMvwAAACwaSzLaRkZfgAAAMCOkeEHAACAbSPDbxEZfgAAAMCO0eEHAAAA7BhDegAAAGDbWJbTIjL8AAAAgB0jww8AAACbxrKclpHhBwAAAOwYHX4AAADAjjGkBwAAALaNSbsWkeEHAAAA7BgZfgAAANg0Ju1aRoYfAAAAsGNk+AEAAGDbGMNvERl+AAAAwI7R4QcAAADsGEN6AAAAYNOMDOmxiAw/AAAAYMfI8ANAOnF0yGLtEAAkw4n3p30hw28RGX4AAADAjtHhBwAAAOwYQ3oAAABg05i0axkZfgAAAMCOkeEHAACAbSPDbxEZfgAAACADTZo0Sd7e3sqWLZuqVKmivXv3Wqx//fp1denSRQUKFJCzs7NefPFFrV69OsXnI8MPAAAAm2ZLY/gXL14sPz8/TZ06VVWqVNHYsWNVp04dHTt2TJ6enonq379/X2+//bY8PT21dOlSPffcczp79qzy5MmT4nPS4QcAAAAyyOjRo9W+fXu1bt1akjR16lStWrVKP/30k/r27Zuo/k8//aRr165p586dcnJykiR5e3s/1TkZ0gMAAABkgPv372v//v2qXbu2qczBwUG1a9fWrl27ktxn+fLlqlq1qrp06SIvLy+VLl1aw4cP14MHD1J8XjL8AAAAsGnWHNITExOjmJgYszJnZ2c5OzsnqhsVFaUHDx7Iy8vLrNzLy0tHjx5N8vinTp2Sv7+/PvnkE61evVphYWHq3LmzYmNjNXjw4BTFSIYfAAAASKURI0Yod+7cZtuIESPS7Pjx8fHy9PTU9OnTVaFCBTVr1kz9+/fX1KlTU3wMMvwAAACwadbM8Pfr109+fn5mZUll9yXJ3d1dWbJkUXh4uFl5eHi48ufPn+Q+BQoUkJOTk7JkyWIqe/nll3XlyhXdv39fWbNm/dcYyfADAAAAqeTs7CxXV1ezLbkOf9asWVWhQgVt3LjRVBYfH6+NGzeqatWqSe5TrVo1hYWFKT7+0bea48ePq0CBAinq7Et0+AEAAIAM4+fnpxkzZmju3Lk6cuSIOnXqpDt37phW7WnRooX69etnqt+pUyddu3ZNX3zxhY4fP65Vq1Zp+PDh6tKlS4rPyZAeAAAA2DajwdoRpFizZs0UGRmpQYMG6cqVK/Lx8dGaNWtME3nPnTsnB4dHOflChQpp7dq16tGjh8qUKaPnnntOX3zxhfr06ZPicxqMRqMxza8kFbJnL2ztEPCMuHl+k7VDwDOieMkm1g4Bz4iwY8usHYLN8fR+x9oh2KTo22HWDiFJ4W++abVze23ebLVzpxQZfgAAANg0W7rTrjUwhh8AAACwY3T4AQAAADvGkB4AAADYNGO87UzatQYy/AAAAIAdI8MPAAAAm8akXcvI8AMAAAB2jAw/AAAAbJrRhm68ZQ1k+AEAAAA7RocfAAAAsGMM6QEAAIBNY9KuZWT4AQAAADtGhh8AAAA2jRtvWUaGHwAAALBjdPgBAAAAO8aQHgAAANg0o9HaEWRuZPj/xcCBfjp1KkDXrh3TqlULVayYt7VDytQ6dGiho0e3Kzr6mLZuXaaKFctaO6RMb1/wAXXpPVi+jT5R6Wr1tHHrTmuHlOnRZuZatG2m7UF/6djFAC1bt1Bly5e2WP/dRm9r4+4/dexigNZu+02+tasnqlP8xSKauWC8DpzeoSPn9mj5hkUq+Fz+9LqEDEebpS/eo+baff6pQg5t1uWoQ1q/aanKVyhjsX7jpvW0J3CtLkcd0o49q/T2OzVNzzk6OuqboV9px55VuhAeqsMndmjK9FHKn98zvS8DNowOvwU9e3ZU586t1L3716pRo7Hu3LmrFSvmy9nZ2dqhZUrvv99AI0cO0HffjVPVqg0UGnpEy5fPl4dHPmuHlqndu/e3ShYvqv49O1s7FJtBmz3SoEkdDRj2lcaNmqoGtZrpyMFjmr9kqvK5502yfoVKZTVhxkj9uuAP1ff9UOtW+2v6/HF68aXipjoveD+vpavm6uSJ02reqK3q1Pg/jf9humJi7mfUZaUr2iz98R59pOn/vatvR3ytkSMm6M3qjXXw4FH9tmy23D2Sfr1VrlJOM2eP0YK5S1SzWiOtWrleC36ZopdfKSFJcnHJpjI+pTRq5CS9Wb2xWnzcRcVLFNGiX6dl5GVlOsZ4g9U2W2AwGjPHjyDZsxe2dgiJnDoVoPHjZ2js2OmSJFfXXDp7dp8+/7yXlixZYeXoMp+tW5dp//5Q9egxSJJkMBgUFrZbU6bM0Q8/TLFydI/cPL/J2iEkq3S1eho3YqDeqvG6tUOxGZm5zYqXbJLu51i2bqFCgw5qUJ8RkhLed7sPrNOcGT9ryrifEtWfOPN7ubhkV5uPu5nK/li7QIcPHFX/Xt9KkibMGKm4uDj16NQ/3eO3Bntss7Bjy6xy3pTIrO9RT+93MuQ86zctVVDgAfXuOURSwuvt4LFtmjF1vsaOTtxJnzV3nHK4ZFfzDz43la3zX6qDBw7L74tBSZ6jXPlX5b/1D7360hu6cOFy+lzIP6Jvh6Xr8VPrbPnaVjt34cANVjt3SqVqDL+fn1+S5QaDQdmyZVPx4sXVuHFj5c2b9LdXW+DtXUgFCnjK33+7qezmzVsKCAhWlSrl6fA/wcnJSeXKvapRoyabyoxGo/z9t6ty5fJWjAywX05Ojnq17MuaPHamqcxoNGr7lj0qXynp4XTlK5XVzMnzzcq2+u/UO+/6Skr4O17rnRqaNn625i2ZolKvvqzz5y5q8tiZWrc6835ZTinaDBnJyclJPuVKa8yPU01lRqNRWzbtVKXK5ZLcp3Llcpo0wfyLp//GbarfIPkOratrLsXHx+vGjVtpE7gNspVMu7WkakhPUFCQZs2apenTp2vLli3asmWLZsyYoVmzZmnjxo3y8/NT8eLFdfjw4bSON8M8HAsXERFlVh4RESUvLw9rhJSpubu7ydHRMcn2yp+f9gLSg1u+hPddVMRVs/KoiKvy8HRPch8PT3dFRT5RP/JRfXePvMqZM4c6fdFWWzbu0Gfvd9DaVRs1be4YVXm9QvpcSAaizZCR8v3zeot84vUWGRElT6+kX2+eXu6KjIxKon7Sn6XOzln1zbDe+m3JCt26dTttAofdSVWHv3Hjxqpdu7YuXbqk/fv3a//+/bpw4YLefvttffTRR7p48aJq1KihHj16JLl/TEyMbt68abZZe2RR8+ZNFBl52LQ5OrKAEYBnj8Eh4WNh/V+bNGvqAh0+eExTxv2kjWu36pNWH1o5usyJNoO1ODo6ava8CTIYDOr55WBrh4NMLFUd/lGjRmnYsGFydXU1leXOnVvffPONvv/+e7m4uGjQoEHav39/kvuPGDFCuXPnNtvi4m6k7grSyMqV61WlSj3TdvXqNUmS5xMZH09Pd4WHR1ojxEwtKipacXFxSbbXlSu0F5Aeoq8mvO/cPc0nxrt75lPkE7+2PRQZESX3JybSu3s8qh99NVqxsbE6cfykWZ2wE6f03PO2v+IMbYaMdPWf15vHE683D093RYQn/XqLCI+Sh4d7EvXNP0sdHR01e/54FXqhoJo2avnMZ/eNRutttiBVHf4bN24oIiIiUXlkZKRu3rwpScqTJ4/u3096dYJ+/frpxo0bZpujY+7UhJJmbt++o1Onzpq2I0dO6PLlCPn6VjPVyZUrpypV8tGePYFWjDRzio2NVVDQAbP2MhgM8vWtpr17aS8gPcTGxulAyBFVq1HFVGYwGFStRhUFBoQkuU9gQIhZfUl6483XTPVjY+MUGnRIRYt7m9UpUqywLp5P38mAGYE2Q0aKjY1VcNBB1Xzz0YRlg8GgGm++roC9QUnus3dvkFl9SfL1rWZW/2Fnv1gxbzVp2FLR166nS/ywH6kat9K4cWO1adNGP/74oypVqiRJCggIUK9evdSkSRNJ0t69e/Xiiy8mub+zs3OipS0Nhsw32WLSpFnq06ebwsJO68yZ8xo8uKcuX47Q8uXrrB1apjR+/EzNmPGj9u8P1b59IeratY1cXFw0b94Sa4eWqd29e0/nLlwyPb54KVxHj59UbtdcKsC6ykmizR6ZOXmefpz0rUKDDysk8IDadPhULi7ZtWTRMknS6Mnf6crlcH0/bLwkafa0hVq84ie179xC/uu3qmHTenrVp5T69hhqOua0iXM0ceYo7dkZqF3b9+rNt6qpdp2aataorTUuMc3RZumP9+gjkyf+pMnTRiko8IAC94eqU5dWyuGSXQsXLJUkTZk+SpcvhWvoNz9IkqZNnqOVaxapS7e2Wrd2k957v4F8ypfWl90TVoBydHTU3AUTVdanlJq/315ZHBxMv65HR99QbGysdS7Uypi0a1mqluW8ffu2evTooXnz5ikuLk5SwguwZcuWGjNmjHLkyKHg4GBJko+PT4qOmRmX5ZQSbrzVps1HypPHVTt37tMXXwxQWNhpa4eVaXXs2FI9enwuLy8PhYYeVs+e3yggINjaYZnJbMty7g0MVZtufRKVN65XW98N6GmFiDI/W2mzjFiWU5Jatmuuz7u2koenuw4fPKZv+v1PwfsPSJJ++XOWLpy/pF5dB5rqv9vobfXq303PFyqoM6fOacQ3o7Vpw3azY374cRN1/rKtChT00smwMxozcrLW/7U5Q64nI9hbm2W2ZTlt4T2aUctySlL7Dp+p2xft5OnloQOhh9X3q2Havy/hF6IVfy3UubMX1KXjo/Zq3LSe+g/soRcKP69TJ89o8ICRWr9uiySp0AvPKfTwliTP06DeJ9qxbU+6XktmXZbz1KsZ9//5pKIHMn8i+D+tw3/79m2dOnVKklS0aFHlzJkz1YFk1g4/7E9m6/DDfmVUhx/IbB1+W5CRHX57Qoc/MVvo8P+npWhy5sypMmUs3x4aAAAASE9GI0N6LEnVpF0AAAAAtoHF5gEAAGDTjPHWjiBzI8MPAAAA2DEy/AAAALBp8Yzht4gMPwAAAGDH6PADAAAAdowhPQAAALBpLMtpGRl+AAAAwI6R4QcAAIBNM8aT4beEDD8AAABgx+jwAwAAAHaMIT0AAACwaUajtSPI3MjwAwAAAHaMDD8AAABsGpN2LSPDDwAAANgxMvwAAACwafHceMsiMvwAAACAHaPDDwAAANgxhvQAAADAphkZ0mMRGX4AAADAjpHhBwAAgE3jxluWkeEHAAAA7BgdfgAAAMCOMaQHAAAANo11+C0jww8AAADYMTL8AAAAsGksy2kZGX4AAADAjpHhBwAAgE1jWU7LyPADAAAAdowOPwAAAGDHGNIDAAAAm8aynJaR4QcAAADsWKbJ8Mc+iLN2CDbHwcC32dTwLtHQ2iHYHEeHLNYOwSaFHVtm7RBsTvyNCGuHYJP4u/b05uWsZO0QkIZYltMyMvwAAACAHaPDDwAAANixTDOkBwAAAEgNJu1aRoYfAAAAsGNk+AEAAGDTuNGuZWT4AQAAADtGhh8AAAA2jTH8lpHhBwAAAOwYHX4AAADAjjGkBwAAADaNO+1aRoYfAAAAsGNk+AEAAGDT4q0dQCZHhh8AAACwY3T4AQAAADvGkB4AAADYNKOYtGsJGX4AAADAjpHhBwAAgE2LN1o7gsyNDD8AAABgx+jwAwAAAHaMIT0AAACwafFM2rWIDD8AAABgx8jwAwAAwKaxLKdlZPgBAAAAO0aGHwAAADYt3toBZHJk+AEAAAA7RocfAAAAsGMM6QEAAIBNY9KuZWT4AQAAADtGhh8AAAA2jUm7lpHhBwAAAOwYHX4AAADAjjGkBwAAADaNIT2WPZMZ/m8G99L5s4G6dSNMa//6RcWLF/nXfTp1bKmw47t1++ZJ7dy+QpUq+piec3PLo7FjhunQwa26dSNMp8L2aszooXJ1zZWOV5HxBg/qpbNn9uvG9TD99dfPKWq3jh1b6vixXbp5I0zbt61QxcfaTZLatv1E69ctUVTkEd2PuaDcuV3TKfqM17LdR9odsk4nLwdqxfqf5VP+VYv1GzR+R1v2rNDJy4HasOMP1Xr7DbPnx0z6ThejD5ltC5ZMS89LyHAt2jbT9qC/dOxigJatW6iy5UtbrP9uo7e1cfefOnYxQGu3/Sbf2tUT1Sn+YhHNXDBeB07v0JFze7R8wyIVfC5/el1CprYv+IC69B4s30afqHS1etq4dae1Q7KaX1ZsUN1WPVWxcTt9/OUQHTh2Mtm6sXFxmrpomd5t00sVG7fT+10GaPu+0ET1wqOuqd+oqXqjWWdVatJO73Xqr0PHT6fnZWQ4/q6ljnfrt/VWwHi9e2auqq8epjzliqVov4KNq6rhlZ9VabafWfmLvf5Pvtt+UL1Ts1Xn6Ay99uvXKT4mnk3PXIf/q16d1bVLG3Xu2levV2+oO3fvavXKhXJ2dk52nw8+aKQfRg3WsG9Hq1KVugoJPazVqxbKwyOfJKlgQS8VLOilPn2GqWy5t9S2XQ/VqeOrGdN/zKjLSne9enZWly6t1bVbP1Wv3lB379zVypULLLfb+w016vtB+va7MapSpZ5CDxzWqpULTO0mSS4u2bRu3WaNHDkxIy4jwzRqWleDv+2t0SMnq+6bH+jwwWNa+Ns05XPPm2T9ipV9NGnmKP284HfVqfm+1q7y16wFE1Ty5eJm9fw3bJNPyZqmrUu7rzLicjJEgyZ1NGDYVxo3aqoa1GqmIwePaf6Sqcm2WYVKZTVhxkj9uuAP1ff9UOtW+2v6/HF68aVHbfaC9/NaumquTp44reaN2qpOjf/T+B+mKybmfkZdVqZy797fKlm8qPr37GztUKxqzZY9GjXjZ3X8uLEWTxiikkULqePAH3T1+s0k60+c95uW/rVJ/Tp9pmVTh+uDd33V49vxOnLyrKnOzVt31LLXd3LMkkWTh/bUH1NHqFf75nLN5ZJRl5Xu+LuWOgUbv6ZXvvlMx3/8TVvf+Vo3D51VlZ/7Kqu75QRX9kLuemXwJ7q660ii5+6cvKwDX8/Rljf7aEfjIbp7PlKvLf5aWfPZV6LxaRhlsNpmCwxGo9Fo7SAkyTHrcxlynvNnAzVm7DSNHpOQQXB1zaVLF4LVpl0P/frr8iT32bl9hQL2heiLLwdIkgwGg86cCtCkybP1/ahJSe7zf//XQPPmjJdrnhJ68OBBulyLgyHjXmRnz+zX2HHTNeaxdrtwPkjt2vnp1yVJt9v2bSu0b3+Ivnys3U6dDNDkybM16gfzdqtRo6o2rF8iD89XdONG0h+6acXDJXe6Hl+SVqz/WSFBBzWg93eSEq494OBGzZ6xSJPGzkxUf8qsH+SSI7taNu/y6BjrFunQwaPq6zdUUkImzDV3LrX9tHu6x/8kR4cs6X6OZesWKjTooAb1GSEpoc12H1inOTN+1pRxPyWqP3Hm93Jxya42H3czlf2xdoEOHziq/r2+lSRNmDFScXFx6tGpf7rHn5SwY8usct6UKF2tnsaNGKi3arxu7VDMxN+ISPdzfPzlEJV+sYi+7twi4Zzx8XqnZQ991PBttf2wQaL6b336hdo3a6jmDWubynp8O0HZnJ004quOkqSxs39V0OETmjvKOq+1ohXbpvs57O3v2lTnMhlynuqrh+l68Ekd/HpOQoHBoNqBE3Vm1lqFTUz681MOBlVbNljnft6sfK+9JCdXFwW0Hp3sORxzZle9sJ+06/1vFbX9UNpfxGMaXvk5XY+fWqu8PrLaueuHZ842edwzleEvUuQFFSjgpY3+201lN2/e0t69QXqtSoUk93FyclL58mW00X+bqcxoNGqj/3a99lrS+0hSbtdcunnzdrp19jPSw3bz3/ioDRLaLVhVkmmDhHZ7Vf5PtJu//za99lr5dI/ZmpycnFTG5xVt27zLVGY0GrV9y25VqFQ2yX0qVPbRts27zco2++9QhUo+ZmVVq1dSyPGt2rp3pUb8OFBubun/5SUjODk56tWyL2v7lkdtkNBme1Q+mTYrX6mstm/ZY1a21X+nqb7BYFCtd2rodNhZzVsyRfuPbtaydQv1zru+6XchyPRiY+N0JOyMXvMpZSpzcHBQFZ9SCjkaluQ+92NjlTWrk1lZNmcnBR06YXq8eXeQSpXwVs/hE1Xzo676sOtALV2zOV2uwRr4u5Y6Bqcsyl2miKK2HnxUaDQqattBuVUskex+L/b8P8VE3dT5nzen6BwvfFZLsTfu6Obhc2kQtW2KN1hvswXPVIc/v5enJCk8PNKsPDwiSvnzeya5j7t7Xjk6OioiPMqsPCIiUvm9PJLcJ18+N/X/+kvNnLUwDaK2Pq9/rjM8IuVt8LDdnmzriIgoeXkl3db2Im++PHJ0dFRU5FWz8sjIq/LwdE9yHw9Pd0U+UT8q8qo8PB8Nf9q0cbu+6PS1mjVpq+++Ga3XXq+k+UumycHB9t/GbvncEtos4ok2iLDcZk+2cdRjbezukVc5c+ZQpy/aasvGHfrs/Q5au2qjps0doyqvJ/9lHfYt+uYtPYiPV74nOpX58uRW1LUbSe7zevlXNf+PNTp78Yri4+O1K/CgNu7cr8hr1011LlyJ1K+rNumFgl6a+u1X+rB+LY2cukB/btie5DFtDX/XUidrXlc5OGZRTKT5aysm8oacPfMkuU/eyiX1wkdvKrTXDIvH9ny7nOqdnK36Z+ep6Ofvalez4bp/7VZahQ4789Sr9MTGxqpu3bqaOnWqSpRI/tupJTExMYqJiTErMxqNMqTxEJWPPmqqKZNGmh43atwiTY+flFy5cmrFn/N05MhxDRlqm2P4P2reVJMm/c/0uHGTllaMBg8t//0v07+PHj6hI4eOa1fwWr1evZK2b91jYc9nk+GfDsP6vzZp1tQFkqTDB4+pQiUffdLqQ+3Zud+a4cGG9On4iYaMm63GHfrKIIOeL+CpxrXf0LL1W0114o3xKlWiiL5o9YEk6eVihRV29qKWrPZX4yQmkyMBf9fMZcmRTeUmdlZorxn/2nm/uuOwtrzVV1nz5lLhT2up4vQvtO3dgboflb7DYmGbnrrD7+TkpNDQxKsTPI0RI0ZoyJAhZmUGh5wyZEnbFVpWrFinvXuDTI+dnbNKSshYX7nyaJyol6e7gkOSHvMWFXVNcXFx8vQyz2B4enroyhPZ65w5c2j1yoW6deuO/u+DdoqLi0urS8lQK1au096Ax9ot6z/t5ulu1m6enh4KCbXcbl5P/ALg6emu8PD0H6NrTdeuXldcXJzcH5ucLEkeHvkU+cSvJA9FRkSZTWaWJHePfIp8IuP9uHNnL+hq1DV5F33B5j8Yo69GJ7SZ5xNt4Gm5zZ5sY/fH2jj6arRiY2N14rj56ithJ06pUpVyaRg9bImbay5lcXDQ1WjzjOvV6zfknjfpoSR5c7tq3KAvFHP/vq7fvC3PfG4aO/tXPZ//0d83D7c8KlqooNl+RQoV0IYdAWl/EVbA37XUuX/tpuLjHsjZw/y15eyRWzER1xPVz+HtJZcXPFVp3qOJywaHhGRo/QsLtKman+6eTfgMfXA3RnfPhOvumXBdDwyT787ReuEjX4VN+DP9LigTi7eRybPWkqrfzD799FPNmjUr1Sft16+fbty4YbYZHNJ+Zvnt23d08uQZ03b48HFdvhyuWr6Psi25cuVU5crltHtP0tm+2NhYBQaGmu1jMBhUy7e6du9+tE+uXDm1ZvXPun//vpq81yrRLxi2JFG7HUloN99aT7abj/bsttRuB+T7RLv5+lbX7t2B6X4N1hQbG6vQ4MOqXvM1U5nBYFD1GlW0PyAkyX327w02qy9JNXyran9AcLLnKVDQS2558yg8POkPW1sSGxunAyFHVK1GFVOZwWBQtRpVFJhMmwUGhJjVl6Q33nzNVD82Nk6hQYdUtLi3WZ0ixQrr4vnLaXsBsBlOTo56ubi39oQcNpXFx8drT/BhlX2puIU9E5IfXu55FffggTbs2Kc3H5uP5PNKCZ25eMWs/tmLV1QgmeEutoa/a6ljjH2gG6Gn5f7GY0sMGwxyr15K0ftOJKp/O+ySNr/5lbbW7mvawtfuV9SOw9pau6/uXUr+y5LBwUEOztxeCUlL1SsjLi5OP/30kzZs2KAKFSooR44cZs+PHp38THJJcnZ2TrScY1oP50nO+Akz9XW/7joRdkpnzpzXkG++0qVL4frzz7WmOuvWLNayP//S5ClzJEljxs3Q7FljtD8wVAEBQererb1y5MiuOXMXS3rU2c/ukk0tWnWTq2su0xr8kZFXFR9v+7eDmDBhlvr17a6wsNM6c/q8vvmmly5dDtefyx+125o1v+jPP9doyj/tNm7cdM2aNUaB+0MUsC9Y3bq1U44c2TV33mLTPl5eHsrv5aFixbwlSaVLv6Tbt27r3PlLio6+noFXmLZmTJ6rMZOHKzTokIICD6h9p8+UPUd2LV74hyRp3JThunw5Qv8bOlaSNGvaAi1dOUcdurTUhnVb1fi9eirjU1q9v/xGkuSSw0V+fTpp9fL1igiPkneRQuo/pKfOnDqnLRvtY4zwzMnz9OOkbxUafFghgQfUpsOncnHJriWLlkmSRk/+Tlcuh+v7YeMlSbOnLdTiFT+pfecW8l+/VQ2b1tOrPqXUt8dQ0zGnTZyjiTNHac/OQO3avldvvlVNtevUVLNG6b+iSWZ09+49nbtwyfT44qVwHT1+Urldc6lAMvOY7FGLpnU1YPQMvVKiiF59sagW/LlW92Ji1OSfNeK//mGavPK56YvWH0qSQo+eVMTVaL1U9AWFX43WlIXLFG80qvX775qO+VnTOmrR81vNWLxCdd6orAPHTmnpX5s1uHtrq1xjeuDvWuqcmrZKPuM66XrIKV0PClPR9vWUxcVZ537ZIknymdBJf1+O1tHhvyg+Jla3jl4w2z/25l1JMpVncXFWiS+a6Mra/YqJuK6seXPJu/U7ypbfTZdW2P6vIqmVKZaczMRS1eE/ePCgypdPyGwcP37c7LmM6rin1qgfJitHDhdNnfy98uRx1Y4dAarf8FOzjHzRooXl/ti6wkuWLJeHe159M6iX8uf3UEjIIdVv8Kki/vkZs3y5V1Wlyj/tcdT8RjbFSlTR2bPmb15b9MOPCe02edLIhHbbGaCGT7ZbkcJyz/dYuy1dIXePfBpkarfDatDwM1O7SdLn7T/TwIGPbiiyyf93SVLbdj00f/6SDLiy9LH8jzXK655Xvb7uKg9Pdx06cFSfvt/BNOGt4PMFFB//6M/Tvr3B6tq+t3r3764+A7/U6VNn1fbTbjp2JGHVkPgHD/TyKyX1QfPGcs3tqvArEdriv1Ojhk/Q/fuxVrnGtLZy2Vrlc3eTX9/O8vB01+GDx9Tiw06KirwmSSr4XH6zL8/7A0LU/fO+6tW/m74a0F1nTp3T5599oeOPrbSydpW/+vccps5fttWQEX10MuyMOrby0749QYnO/yw4ePSE2nTrY3r8/YTpkqTG9WrruwE9rRVWhqtbs4qib97U5Pm/Kyr6hkoWfUFThvYyTeS9EnnNbNLo/dhYTZz3my5ciZRLdmdVr1hGw3t9Ltecj5JdpV8sqjEDumvcnCWatuhPPZffXb07fKL6vplr2dP/gr9rqXPpz93Kms9VJXu/L2ePPLp56Kz2fPQ/3Y9KGFaW/Tl3KT7l3VXjg3jlLF5QFT+soax5cyk2+rauB5/UjiZDdPuY7fc3kD6euXX47UlGrsNvTzJiHX57kxHr8NujzLwOf2aVEevw26OMWIff3mTUOvz2JrOuw78s/8dWO3eTK4usdu6UYrAXAAAAbJrtD55OX/ax0C0AAACAJJHhBwAAgE2LZ5izRWT4AQAAADtGhh8AAAA2LVOsQJOJkeEHAAAA7BgdfgAAACADTZo0Sd7e3sqWLZuqVKmivXv3pmi/X375RQaDQU2aNHmq89HhBwAAgE2Lt+L2tBYvXiw/Pz8NHjxYgYGBKlu2rOrUqaOICMv3ITlz5ox69eqlN95446nPSYcfAAAAyCCjR49W+/bt1bp1a73yyiuaOnWqXFxc9NNPPyW7z4MHD/TJJ59oyJAhKlq06FOfkw4/AAAAbFq8wXrb07h//77279+v2rVrm8ocHBxUu3Zt7dq1K9n9hg4dKk9PT7Vtm7q7arNKDwAAAJBKMTExiomJMStzdnaWs7NzorpRUVF68OCBvLy8zMq9vLx09OjRJI+/fft2zZo1S8HBwamOkQw/AAAAkEojRoxQ7ty5zbYRI0akybFv3bqlzz77TDNmzJC7u3uqj0OGHwAAADYtXta7026/fv3k5+dnVpZUdl+S3N3dlSVLFoWHh5uVh4eHK3/+/Inqnzx5UmfOnFHDhg1NZfHxCVOFHR0ddezYMRUrVuxfY6TDDwAAAKRScsN3kpI1a1ZVqFBBGzduNC2tGR8fr40bN6pr166J6r/00ks6cOCAWdmAAQN069YtjRs3ToUKFUrReenwAwAAwKbZ0p12/fz81LJlS1WsWFGVK1fW2LFjdefOHbVu3VqS1KJFCz333HMaMWKEsmXLptKlS5vtnydPHklKVG4JHX4AAAAggzRr1kyRkZEaNGiQrly5Ih8fH61Zs8Y0kffcuXNycEjbabZ0+AEAAGDTnnZ5TGvr2rVrkkN4JGnz5s0W950zZ85Tn49VegAAAAA7RocfAAAAsGMM6QEAAIBNi7d2AJkcGX4AAADAjpHhBwAAgE2zpWU5rYEMPwAAAGDH6PADAAAAdowhPQAAALBptrYOf0Yjww8AAADYMTL8AAAAsGksy2kZGX4AAADAjpHhBwAAgE0jw28ZGX4AAADAjtHhBwAAAOwYQ3oAAABg04wsy2kRGX4AAADAjpHht2FZHLJYOwQAFsTfiLB2CDbHIbentUOwSY58Hjy1Ao73rB0C0hCTdi0jww8AAADYMTr8AAAAgB1jSA8AAABsGkN6LCPDDwAAANgxMvwAAACwaUZrB5DJkeEHAAAA7BgZfgAAANi0eG68ZREZfgAAAMCO0eEHAAAA7BhDegAAAGDTWJbTMjL8AAAAgB0jww8AAACbRobfMjL8AAAAgB2jww8AAADYMYb0AAAAwKZxp13LyPADAAAAdowMPwAAAGwad9q1jAw/AAAAYMfo8AMAAAB2jCE9AAAAsGmsw28ZGX4AAADAjpHhBwAAgE1jWU7LyPADAAAAdowMPwAAAGxaPDl+i8jwAwAAAHaMDj8AAABgxxjSAwAAAJvGspyWkeEHAAAA7BgZfgAAANg0puxaRoYfAAAAsGN0+AEAAAA7xpAeAAAA2DQm7Vr2TGb4vxncS+fPBurWjTCt/esXFS9e5F/36dSxpcKO79btmye1c/sKVaroY3rOzS2Pxo4ZpkMHt+rWjTCdCturMaOHytU1VzpeReY2cKCfTp0K0LVrx7Rq1UIVK+Zt7ZAyXMt2H2l3yDqdvByoFet/lk/5Vy3Wb9D4HW3Zs0InLwdqw44/VOvtN8yeHzPpO12MPmS2LVgyLT0vIcO1aNtM24P+0rGLAVq2bqHKli9tsf67jd7Wxt1/6tjFAK3d9pt8a1dPVKf4i0U0c8F4HTi9Q0fO7dHyDYtU8Ln86XUJVvHLig2q26qnKjZup4+/HKIDx04mWzc2Lk5TFy3Tu216qWLjdnq/ywBt3xeaqF541DX1GzVVbzTrrEpN2um9Tv116Pjp9LyMTGlf8AF16T1Yvo0+Uelq9bRx605rh2RVvEefnkfLenp113SVD/tVL634Xjl8SqRoP7dG1VXxwjIVm9nPrNzRPbe8R3dXmX0/qdyJxSqxYJCcixRIj9BhR565Dv9XvTqra5c26ty1r16v3lB37t7V6pUL5ezsnOw+H3zQSD+MGqxh345WpSp1FRJ6WKtXLZSHRz5JUsGCXipY0Et9+gxT2XJvqW27HqpTx1czpv+YUZeVqfTs2VGdO7dS9+5fq0aNxrpz565WrJhvsY3tTaOmdTX4294aPXKy6r75gQ4fPKaFv01TPve8SdavWNlHk2aO0s8Lfledmu9r7Sp/zVowQSVfLm5Wz3/DNvmUrGnaurT7KiMuJ0M0aFJHA4Z9pXGjpqpBrWY6cvCY5i+ZmmybVahUVhNmjNSvC/5Qfd8PtW61v6bPH6cXX3rUZi94P6+lq+bq5InTat6orerU+D+N/2G6YmLuZ9Rlpbs1W/Zo1Iyf1fHjxlo8YYhKFi2kjgN/0NXrN5OsP3Heb1r61yb16/SZlk0drg/e9VWPb8fryMmzpjo3b91Ry17fyTFLFk0e2lN/TB2hXu2byzWXS0ZdVqZx797fKlm8qPr37GztUKyO9+jTc2tYTYUGtdGlMb/ocD0/3Tt8RiUWDJZjvtwW98v6vKcKDWylW7sPJXqu+Kx+cn7BS2Fth+twnR66fyFSL/48RA7Zn53P2KTEG6y32QKD0WjMFBObHbM+lyHnOX82UGPGTtPoMQmZUVfXXLp0IVht2vXQr78uT3KfndtXKGBfiL74coAkyWAw6MypAE2aPFvfj5qU5D7/938NNG/OeLnmKaEHDx6ky7U4ZcmcI7JOnQrQ+PEzNHbsdEkJbXz27D59/nkvLVmywsrRSXmz5Uz3c6xY/7NCgg5qQO/vJCW8ZgIObtTsGYs0aezMRPWnzPpBLjmyq2XzLo+OsW6RDh08qr5+QyUlZPhdc+dS20+7p3v8T3J0yJLu51i2bqFCgw5qUJ8RkhLabPeBdZoz42dNGfdTovoTZ34vF5fsavNxN1PZH2sX6PCBo+rf61tJ0oQZIxUXF6cenfqne/xJOb53erqf4+Mvh6j0i0X0decWkqT4+Hi907KHPmr4ttp+2CBR/bc+/ULtmzVU84a1TWU9vp2gbM5OGvFVR0nS2Nm/KujwCc0dlfHt5pDbM8PPmVKlq9XTuBED9VaN160dSiLFSzZJ93PY23v0t+xF0/0cL634XndDTujcgBkJBQaDygTMVMTsVboy6fekd3Jw0Eu/faeoxRuVs/IryuKaQyfbJbS5c5GCenXbZB2s1U1/Hz9vOmbZoNm6OHKBon7ekO7XVPHCsnQ/R2oM8v7Eauceemah1c6dUs9Uhr9IkRdUoICXNvpvN5XdvHlLe/cG6bUqFZLcx8nJSeXLl9FG/22mMqPRqI3+2/Xaa0nvI0m5XXPp5s3b6dbZz6y8vQupQAFP+T/RxgEBwapSpbwVI8s4Tk5OKuPzirZt3mUqMxqN2r5ltypUKpvkPhUq+2jb5t1mZZv9d6hCJR+zsqrVKynk+FZt3btSI34cKDc3y1kiW+Hk5KhXy76s7VsetUFCm+1R+WTarHylstq+ZY9Z2Vb/nab6BoNBtd6podNhZzVvyRTtP7pZy9Yt1Dvv+qbfhWSw2Ng4HQk7o9d8SpnKHBwcVMWnlEKOhiW5z/3YWGXN6mRWls3ZSUGHTpgeb94dpFIlvNVz+ETV/KirPuw6UEvXbE6Xa4Bt4D369AxOjsrxajHd3PbYkDmjUTe3hShH+ZLJ7lewx4eKvXpDUb8k7rw7OCe8d40xsWbHNN6PU85Kr6RZ7LYoXkarbbbgmerw5/dKyByFh0ealYdHRCl//qSzSu7ueeXo6KiI8Ciz8oiISOX38khyn3z53NT/6y81c1bm/8aX1h62Y0TEk+0VJa9k2sve5M2XR46OjoqKvGpWHhl5VR6e7knu4+Hprsgn6kdFXpWHZz7T400bt+uLTl+rWZO2+u6b0Xrt9Uqav2SaHBxs/23sls8toc0inmiDCMtt9mQbRz3Wxu4eeZUzZw51+qKttmzcoc/e76C1qzZq2twxqvJ68l/WbUn0zVt6EB+vfE988cuXJ7eirt1Icp/Xy7+q+X+s0dmLVxQfH69dgQe1ced+RV67bqpz4Uqkfl21SS8U9NLUb7/Sh/VraeTUBfpzw/Ykjwn7x3v06TnmzSWDYxbFRl43K4+LuiEnT7ck98lZ6WW5N6+ts18lPXrg77ALirkQoef6fqYsuXPI4OSo/J2bKmtB92SPCUhWWqUnJiZGMTExZmVGo1EGQ9oOhProo6aaMmmk6XGjxi3S9PhJyZUrp1b8OU9HjhzXkKH2P4a/efMmmjBhuOlx06atrRiNfVv++1+mfx89fEJHDh3XruC1er16JW3fusfCns8mwz9fhNb/tUmzpi6QJB0+eEwVKvnok1Yfas/O/dYMz2r6dPxEQ8bNVuMOfWWQQc8X8FTj2m9o2fqtpjrxxniVKlFEX7T6QJL0crHCCjt7UUtW+6txEpMugdTgPWrOIUc2FRn3pc70nqy46FtJ1jHGPdDJ9iPl/UNXlTu0UMa4B7q5PUQ3/PdLNjKWHNZhlQ7/iBEjNGTIELMyg0NOGbK4pul5VqxYp717g0yPnZ2zSpK8vDx05UqEqdzL013BIYknxkhSVNQ1xcXFydPLPIPh6emhK0/8UpAzZw6tXrlQt27d0f990E5xcXFpdSmZ1sqV65NsY09Pd7M29vR0V2jo4QyPzxquXb2uuLg4uXvkMyv38MinyCd++XgoMiLKNAn8IXePfIp8Ipv2uHNnL+hq1DV5F33B5jv80VejE9rM84k28LTcZk+2sftjbRx9NVqxsbE6cdx8xZqwE6dUqUq5NIzeetxccymLg4OuRptn869evyH3vEkP98qb21XjBn2hmPv3df3mbXnmc9PY2b/q+fyPfoHzcMujooUKmu1XpFABbdgRkPYXAZvAe/TpxV27JWPcAzl55DErd3TPrdiI6ET1nQsXkPMLXiox+7H5DA4JvfgKZ37TwZpdFHP2iu4eOKnDdXooSy4XGZwcFXft5j9zBZIexvessI2BNdaT4rEAfn5+unPnjunflrZ/069fP924ccNsMzik/RKWt2/f0cmTZ0zb4cPHdflyuGr5PspQ5cqVU5Url9PuPUlnEmJjYxUYGGq2j8FgUC3f6tq9+9E+uXLl1JrVP+v+/ftq8l6rRL9g2Kvbt+/o1Kmzpu3IkRO6fDlCvr7VTHVy5cqpSpV8tGdPoBUjzTixsbEKDT6s6jVfM5UZDAZVr1FF+wNCktxn/95gs/qSVMO3qvYHBCd7ngIFveSWN4/Cw5P+sLUlsbFxOhByRNVqVDGVGQwGVatRRYHJtFlgQIhZfUl6483XTPVjY+MUGnRIRYt7m9UpUqywLp6/nLYXYCVOTo56ubi39oQ8+jIdHx+vPcGHVfal4hb2lJyzZpWXe17FPXigDTv26c3XHs2x8XmlhM5cvGJW/+zFKyqQzNAN2D/eo0/PGBunOwdOKlf1Mo8KDQa5Vi+jO4HHEtX/++QFHXyruw7V6WHarq8L0K2dB3WoTg/dv2T+t/7BrbuKu3ZTzkUKKEeZYrq+bm96XxJsWIoz/EFBQYqNjTX9OzkpGZbj7OycaInGtB7Ok5zxE2bq637ddSLslM6cOa8h33ylS5fC9eefa0111q1ZrGV//qXJU+ZIksaMm6HZs8Zof2CoAgKC1L1be+XIkV1z5i6W9Kizn90lm1q06iZX11ymNfgjI68qPv7Zuh3EpEmz1KdPN4WFndaZM+c1eHBPXb4coeXL11k7tAwzY/JcjZk8XKFBhxQUeEDtO32m7Dmya/HCPyRJ46YM1+XLEfrf0LGSpFnTFmjpyjnq0KWlNqzbqsbv1VMZn9Lq/eU3kiSXHC7y69NJq5evV0R4lLyLFFL/IT115tQ5bdloH+OqZ06epx8nfavQ4MMKCTygNh0+lYtLdi1ZtEySNHryd7pyOVzfDxsvSZo9baEWr/hJ7Tu3kP/6rWrYtJ5e9Smlvj2Gmo45beIcTZw5Snt2BmrX9r16861qql2nppo1amuNS0wXLZrW1YDRM/RKiSJ69cWiWvDnWt2LiVGTf+7j8PUP0+SVz01ftP5QkhR69KQirkbrpaIvKPxqtKYsXKZ4o1Gt33/XdMzPmtZRi57fasbiFarzRmUdOHZKS//arMHdn70he3fv3tO5C5dMjy9eCtfR4yeV2zWXCiQz98te8R59euHT/1SRMV/obkiY7gSfkFe7hnLInk1RizdKkrzHfqHYK1d18X8LZIyJ1d/Hzpnt/+BmQqL18XK3+q8r7tpNxVyMlMtLhVVoSDtdX7tXN7cGZ9h1ZUbPVk/r6aW4w79p06Yk/21rRv0wWTlyuGjq5O+VJ4+rduwIUP2Gn5pl5IsWLSz3x9YVXrJkuTzc8+qbQb2UP7+HQkIOqX6DT00TU8uXe9W0As3xo+Y3ZSlWoorOnr2QAVeWefz441S5uLho4sQRypPHVTt37lOjRi2emV89JGn5H2uU1z2ven3dVR6e7jp04Kg+fb+DaQJbwecLKD7+0Q+Q+/YGq2v73urdv7v6DPxSp0+dVdtPu+nYkYSfaOMfPNDLr5TUB80byzW3q8KvRGiL/06NGj5B9+/HJhmDrVm5bK3yubvJr29neXi66/DBY2rxYSdFRV6TJBV8Lr/Zl+f9ASHq/nlf9erfTV8N6K4zp87p88++0PHHVqdZu8pf/XsOU+cv22rIiD46GXZGHVv5ad+e5JMWtqZuzSqKvnlTk+f/rqjoGypZ9AVNGdrLNJH3SuQ1s4nd92NjNXHeb7pwJVIu2Z1VvWIZDe/1uVxz5jDVKf1iUY0Z0F3j5izRtEV/6rn87urd4RPV9818y1Gmt4NHT6hNtz6mx99PSFhqtXG92vpuQE9rhWUVvEefXvSKHXLMl1sFe30kJw833T18Wic+G6K4qIRheM7PeUjxTzcYxcnLTYUGtzENDbq6dLMuj/s1PcKHHXnm1uG3J5l1Hf7MLiPW4bc3GbEOvz3KiHX47U1mXoc/M8uIdfjtTUasw2+PMus6/P28P7bauUecWWS1c6cUPUYAAADYNFtZD99abH8BbwAAAADJIsMPAAAAm0Z+3zIy/AAAAIAdI8MPAAAAm8aynJaR4QcAAADsGB1+AAAAwI4xpAcAAAA2jWU5LSPDDwAAANgxMvwAAACwaeT3LSPDDwAAANgxOvwAAACAHWNIDwAAAGwa6/BbRoYfAAAAsGNk+AEAAGDTjEzbtYgMPwAAAGDHyPADAADApjGG3zIy/AAAAIAdo8MPAAAA2DGG9AAAAMCmxTNp1yIy/AAAAIAdI8MPAAAAm0Z+3zIy/AAAAIAdo8MPAAAA2DGG9AAAAMCmMWnXMjL8AAAAgB0jww8AAACbxp12LSPDDwAAANgxMvwAAACwaUbG8FtEhh8AAACwY3T4AQAAADvGkB4AAADYNCbtWkaGHwAAALBjmSbD75Ql04QCO3fmxAprh4BnhHeJhtYOweY4OmSxdgg2KezYMmuHYHMKFK1r7RBsUpS1A0gGk3YtI8MPAAAA2DE6/AAAAIAdYxwNAAAAbBqTdi0jww8AAADYMTL8AAAAsGnxRibtWkKGHwAAALBjZPgBAABg08jvW0aGHwAAALBjdPgBAAAAO8aQHgAAANi0eAb1WESGHwAAALBjZPgBAABg04xk+C0iww8AAADYMTr8AAAAgB1jSA8AAABsWry1A8jkyPADAAAAdowOPwAAAGxavIxW21Jj0qRJ8vb2VrZs2VSlShXt3bs32bozZszQG2+8ITc3N7m5ual27doW6yeFDj8AAACQQRYvXiw/Pz8NHjxYgYGBKlu2rOrUqaOIiIgk62/evFkfffSRNm3apF27dqlQoUJ65513dPHixRSfkw4/AAAAkEFGjx6t9u3bq3Xr1nrllVc0depUubi46Keffkqy/sKFC9W5c2f5+PjopZde0syZMxUfH6+NGzem+JxM2gUAAIBNs+Y6/DExMYqJiTErc3Z2lrOzc6K69+/f1/79+9WvXz9TmYODg2rXrq1du3al6Hx3795VbGys8ubNm+IYyfADAAAAqTRixAjlzp3bbBsxYkSSdaOiovTgwQN5eXmZlXt5eenKlSspOl+fPn1UsGBB1a5dO8UxkuEHAACATbPmspz9+vWTn5+fWVlS2f208L///U+//PKLNm/erGzZsqV4Pzr8AAAAQColN3wnKe7u7sqSJYvCw8PNysPDw5U/f36L+/7www/63//+pw0bNqhMmTJPFSNDegAAAGDTjEaj1bankTVrVlWoUMFswu3DCbhVq1ZNdr/vv/9ew4YN05o1a1SxYsWnbh8y/AAAAEAG8fPzU8uWLVWxYkVVrlxZY8eO1Z07d9S6dWtJUosWLfTcc8+Z5gGMHDlSgwYN0qJFi+Tt7W0a658zZ07lzJkzReekww8AAABkkGbNmikyMlKDBg3SlStX5OPjozVr1pgm8p47d04ODo8G4UyZMkX379/X+++/b3acwYMH65tvvknROenwAwAAwKal9o631tK1a1d17do1yec2b95s9vjMmTP/+XyM4QcAAADsGBl+AAAA2DRrLstpC8jwAwAAAHaMDj8AAABgxxjSAwAAAJtmtLFJuxmNDP+/GDjQT6dOBejatWNatWqhihXztnZImVqHDi109Oh2RUcf09aty1SxYllrh5Tp7Qs+oC69B8u30ScqXa2eNm7dae2QMj3azFzLdh9pd8g6nbwcqBXrf5ZP+Vct1m/Q+B1t2bNCJy8HasOOP1Tr7TfMnh8z6TtdjD5kti1YMi09LyHDtWjbTNuD/tKxiwFatm6hypYvbbH+u43e1sbdf+rYxQCt3fabfGtXT1Sn+ItFNHPBeB04vUNHzu3R8g2LVPA5y3fOtFe8R821af+JAg/460LEAa31X6JyFSzfJbVRk7ratW+NLkQc0NZdK1T7nZpmz/fu10279q3R2cvBCjsboN/+nKPyFZ/uzqt4ttDht6Bnz47q3LmVunf/WjVqNNadO3e1YsX8FN8++Vnz/vsNNHLkAH333ThVrdpAoaFHtHz5fHl45LN2aJnavXt/q2Txourfs7O1Q7EZtNkjjZrW1eBve2v0yMmq++YHOnzwmBb+Nk353PMmWb9iZR9NmjlKPy/4XXVqvq+1q/w1a8EElXy5uFk9/w3b5FOypmnr0u6rjLicDNGgSR0NGPaVxo2aqga1munIwWOav2Rqsm1WoVJZTZgxUr8u+EP1fT/UutX+mj5/nF586VGbveD9vJaumquTJ06reaO2qlPj/zT+h+mKibmfUZeVqfAefaTJe+9q2PB+GvW/iar1RhMdOnBUS36fJfdkXm+VKpfT9J9Ga+G8JfKt3kSrV23QvEWT9NLLJUx1ToadVp9eQ1WjakPVr/ORzp+7qKV/zFa+fG4ZdVmZTryMVttsgcH4tPcETifZsxe2dgiJnDoVoPHjZ2js2OmSJFfXXDp7dp8+/7yXlixZYeXoMp+tW5dp//5Q9egxSJJkMBgUFrZbU6bM0Q8/TLFydI/cPL/J2iEkq3S1eho3YqDeqvG6tUOxGZm5zbxLNEz3c6xY/7NCgg5qQO/vJCW87wIObtTsGYs0aezMRPWnzPpBLjmyq2XzLo+OsW6RDh08qr5+QyUlZPhdc+dS20+7p3v8T3J0yJLu51i2bqFCgw5qUJ+Eu1gaDAbtPrBOc2b8rCnjfkpUf+LM7+Xikl1tPu5mKvtj7QIdPnBU/Xt9K0maMGOk4uLi1KNT/3SPPylhx5ZZ5bwpkVnfowWK1s2Q86z1X6KgwAPq2yvh/WUwGBR6ZKtmTJuv8WOmJ6o/c/ZYueTIro8/7GAqW7PxVx0MPaJePQYneY6cuXLozMUgNW3YUtu27EqfC/lH1M3j6Xr81Hr3hXetdu7V51Zb7dwpRYY/Gd7ehVSggKf8/bebym7evKWAgGBVqVLeipFlTk5OTipX7lWz9jIajfL3367KlWkvID04OTmpjM8r2rb50Qe80WjU9i27VaFS0sPpKlT20bbNu83KNvvvUIVKPmZlVatXUsjxrdq6d6VG/DhQbm650zx+a3ByctSrZV/W9i2P2iChzfaofDJtVr5SWW3fssesbKv/TlN9g8GgWu/U0Omws5q3ZIr2H92sZesW6p13fdPvQmATnJycVNanlLZsejSkyWg0asvmnapU2SfJfSpW9tGWzeZDoDZt3K6Klcsle46WrZrpxvWbOnTgaJrFbmuMRqPVNluQqg5/rVq1NGTIkETl0dHRqlWr1n8OKjPIn99TkhQREWVWHhERJS8vD2uElKm5u7vJ0dExyfbKn5/2AtJD3nx55OjoqKjIq2blkZFX5eHpnuQ+Hp7uinyiflTkVXl4Php6t2njdn3R6Ws1a9JW330zWq+9Xknzl0wzu9W7rXLLl/C3KiriiTaIsNxmT7Zx1GNt7O6RVzlz5lCnL9pqy8Yd+uz9Dlq7aqOmzR2jKq9XSJ8LgU3I98/rLTLS/LMxMiJKnsn0JTy93BWZxGepp5f56/Odum/qzKUgXYw8oI5dWuv9Jq117Vp02l4A7EaqVunZvHmzDhw4oKCgIC1cuFA5cuSQJN2/f19btmz51/1jYmIUExNjVmY0GmUwGFITTppo3ryJJkwYbnrctGlrq8UCANa0/Pe/TP8+eviEjhw6rl3Ba/V69UravnWPhT2fTYZ/vgit/2uTZk1dIEk6fPCYKlTy0SetPtSenfutGR7s1Pate+RbvbHy5nPTZy0/1Mw5Y1Wn1geKirpm7dCQCaU6XbNhwwZduXJFr732ms6cOfNU+44YMUK5c+c22+LibqQ2lDSxcuV6ValSz7RdvZrwhvF8IuPj6emu8PBIa4SYqUVFRSsuLi7J9rpyhfYC0sO1q9cVFxcn9ycmxnt45EuUIXwoMiIq0UR6d498inwi4/24c2cv6GrUNXkXfeG/B21l0VcT/la5ez7RBp6W2+zJNnZ/rI2jr0YrNjZWJ46fNKsTduKUnnv+2VylBwmu/vN68/Aw/2z08HRXRDJ9iYjwqES/Nnl6uisi3Pz1effuPZ0+dU77A0L0Zdf+evDggT5p8UHaXoANibfiZgtS3eEvUKCAtmzZoldffVWVKlXS5s2bU7xvv379dOPGDbPN0dG640Nv376jU6fOmrYjR07o8uUI+fpWM9XJlSunKlXy0Z49gVaMNHOKjY1VUNABs/YyGAzy9a2mvXtpLyA9xMbGKjT4sKrXfM1UZjAYVL1GFe0PCElyn/17g83qS1IN36raHxCc7HkKFPSSW948Cg9PukNsS2Jj43Qg5Iiq1ahiKjMYDKpWo4oCk2mzwIAQs/qS9Mabr5nqx8bGKTTokIoW9zarU6RYYV08fzltLwA2JTY2ViHBh1TjzaqmMoPBoBo1qypgb3CS++zbG6waNaualdX0fV379gZZPJfBwUHOzln/c8ywT6ka0vNw6I2zs7MWLVqkb7/9VnXr1lWfPn1StL+zs3OipS2tOZwnOZMmzVKfPt0UFnZaZ86c1+DBPXX5coSWL19n7dAypfHjZ2rGjB+1f3+o9u0LUdeubeTi4qJ585ZYO7RM7e7dezp34ZLp8cVL4Tp6/KRyu+ZSgX/mksAcbfbIjMlzNWbycIUGHVJQ4AG17/SZsufIrsUL/5AkjZsyXJcvR+h/Q8dKkmZNW6ClK+eoQ5eW2rBuqxq/V09lfEqr95ffSJJccrjIr08nrV6+XhHhUfIuUkj9h/TUmVPntGXj9mSisC0zJ8/Tj5O+VWjwYYUEHlCbDp/KxSW7lixaJkkaPfk7Xbkcru+HjZckzZ62UItX/KT2nVvIf/1WNWxaT6/6lFLfHkNNx5w2cY4mzhylPTsDtWv7Xr35VjXVrlNTzRq1tcYlWh3v0UemTJytiVNHKjjooAL3hapj55Zyccmunxf8JkmaNO17Xb4Urm+H/ChJmjZlrpb/tUCdu7bRurWb9d779eVTrrT8ug+UJLm4ZFePXp205q+NCr8SqXz53NSm/ScqUMBLf/7xV7Jx2DtuvGVZqjr8T85IHjBggF5++WW1bNkyTYLKLH78capcXFw0ceII5cnjqp0796lRoxaJ5h8gwdKlK+Xunk+DBvnJy8tDoaGH1bhxi0QTeWHu4NETatPt0Zfl7yckLNPWuF5tfTegp7XCytRos0eW/7FGed3zqtfXXeXh6a5DB47q0/c7mCaZFny+gOLjH/3N3rc3WF3b91bv/t3VZ+CXOn3qrNp+2k3HjoRJkuIfPNDLr5TUB80byzW3q8KvRGiL/06NGj5B9+/HWuUa09rKZWuVz91Nfn07y8PTXYcPHlOLDzspKjJhKGfB5/IrPv7RD/X7A0LU/fO+6tW/m74a0F1nTp3T5599oeNHw0x11q7yV/+ew9T5y7YaMqKPToadUcdWftq3x3JW1l7xHn1k2e+rlc89r/p+3V2eXh46eOCIPvy/tqbJ888/X8Ds9RawN0gd2vbU1wO/VP/Bfjp18oxafNxFR4+ckCQ9ePBAJV4squYfN1XefG6KvhatoMADalj3Yx177DUJPC5V6/CfPXtWL7zwQqKs/KFDh7Rv375Udfwz4zr8sE+ZeR1+2JeMWIff3mTEOvz2KDOvw59ZZdQ6/PYms67D/04h6/1/rju/xmrnTqlUZfgLF066c16qVCmVKlXqPwUEAAAAPA1bueOttdj+osoAAAAAkpWqDD8AAACQWdjKHW+thQw/AAAAYMfI8AMAAMCmMYbfMjL8AAAAgB2jww8AAADYMYb0AAAAwKZxp13LyPADAAAAdowMPwAAAGxaPMtyWkSGHwAAALBjdPgBAAAAO8aQHgAAANg0BvRYRoYfAAAAsGNk+AEAAGDTuNOuZWT4AQAAADtGhh8AAAA2jQy/ZWT4AQAAADtGhx8AAACwYwzpAQAAgE0zcqddi8jwAwAAAHaMDD8AAABsGpN2LSPDDwAAANgxOvwAAACAHWNIDwAAAGyakSE9FpHhBwAAAOwYGX4AAADYNJbltIwMPwAAAGDHyPADAADAprEsp2Vk+AEAAAA7RocfAAAAsGMM6QEAAIBNY9KuZWT4AQAAADtGht+G5XBytnYINsnthbesHYLNcXLIYu0QbNK8nJWsHYLNKeB4z9oh2KQCRetaOwSbc/nUGmuHgDTEpF3LyPADAAAAdowOPwAAAGDHGNIDAAAAm2ZkSI9FZPgBAAAAO0aGHwAAADYtnmU5LSLDDwAAANgxMvwAAACwaYzht4wMPwAAAGDH6PADAAAAdowhPQAAALBpTNq1jAw/AAAAYMfI8AMAAMCmMWnXMjL8AAAAgB2jww8AAADYsVR1+IcOHaq7d+8mKr93756GDh36n4MCAAAAUireaLTaZgtS1eEfMmSIbt++naj87t27GjJkyH8OCgAAAEDaSNWkXaPRKIPBkKg8JCREefPm/c9BAQAAACnFpF3LnqrD7+bmJoPBIIPBoBdffNGs0//gwQPdvn1bHTt2TPMgAQAAAKTOU3X4x44dK6PRqDZt2mjIkCHKnTu36bmsWbPK29tbVatWTfMgAQAAAKROijv85cuX18aNG+Xm5qa5c+eqTZs2ypkzZ3rGBgDA/7d353FRVf0fwD8zMIAsKru4p6KZGyiCKCq4K5C4lJU/9VHr6anMBcXcEiULlSC3zLQS1BQ1l9QKNQRRMmRTQAUFFzJZFQFBWe/vD3JyZB9nGBg/717zejlnzrn3e08H7uHMOecSEdWqqSyeVZU6L9q9du0aCgoKAABhYWF4/Pix0oIiIiIiIiLFqPMIv5WVFWbOnAkHBwcIggAfH59qR/hXrlypsACJiIiIiGrCRbs1q3OH39/fH56enjhx4gREIhF+++03aGpWLi4SidjhJyIiIiJqJOrc4e/WrRsCAwMBAGKxGMHBwTAzM1NaYEREREREdSEI5aoOoVGTax/+8nJWKhERERFRU1DnDv+xY8cwduxYSCQSHDt2rMa8r7/++gsHRkREREREL67OHX43Nzekp6fDzMwMbm5u1eYTiUQoKytTRGxERERERLUq56LdGtW5w//sNB5O6SEiIiIiahrkmsNPRERERNRYCHzwVo3k7vAHBwcjODgYmZmZlUb8f/jhhxcOjIiIiIiIXpxcHf7Vq1fDy8sLNjY2sLCwgEgkUnRcRERERESkAHJ1+Ldt2wZ/f39MmzZN0fEQEREREdULF+3WTCxPoeLiYgwcOFDRsTQ6778/HYmJ55GTk4SwsKOwsemj6pBUZtZ7UxETfwZ3M+Nx8sxBWPfrXWP+193G4EJUEO5mxiPswnGMGDVU5vPFSz/Ghagg3Em7hOQ7kTj0sz/62tR8zKbmv+9Pw5Vr55D9IBEhZ4+gXy3tZ8KEcYiJ/R3ZDxIRcfE3jBrtKPP56+NH4+dju3Dnrxg8KryFXr27KzF61Xn3v/+Hy1dCkZZ9BadDfkLfWtra+AljERFzEmnZVxAe8QtGPtPWNDU1scrLA+ERv+BuRhyu3gjHN9t90KqVej00sOPMkRgeuQnjbgfA4dfP0NK6c53KtR5vD9f0fei/010mveuiSXA69yXG3tyJ0Yk7MODAsjofs6kwnTEWvS5sR9/kA3j1+HroWVnWqZzh6w6wuXsUnb9bKpOuadICHf3monfUD7C+sR+We1ZC+xULZYSuUrwXKE/UpXh8tNgTTq9PRc9BYxEc9oeqQyI1IleH/91338XevXsVHUujMnmyC9atW4HPP98Ie3sXxMVdw7Fju2Fqaqzq0Bqc28Rx+OyLpfBZuwXDBrvhSnwiDh7+HiYmRlXm729rje0/+OHHXQfh5OCGX3/5Hbv2fo1Xu/97Q01JvoVPFnlhiL0rnEe/jb9S/8ZPR3bC2NiwoS5LqSZNcob32uXw/mIjHAa6ICH+Go7+HFBt+7Gz64udARsREHAAg+ydceLEaQTu/xavvdZVmkdXVxcXLkRi5afrGuoyGtyESeOwxnsZ1nlvhqPDeCQkJOLQ0Z0wMa26rdnaWeO7nV9hT8BBDB30On45cRp7Ar9B99cq2pqurg56W/WAz7qv4egwHtPf+QhdLF/B3gPfNuRlKVXr8QPw2qppuO57CGGjliHvyh3Y7VsCLZPmNZZr1s4Er3lOxf0L1yp9VpCShvhl/jjr+AnCx69G4V9ZGLB/GbSMDZR1GQ3K0HUQ2q2chXtfBeLqWHc8vnoblns8oWncosZyWm3N0O7T/yD/zyuVPuvy/VJotzdH8uwvcHX0AhTfzULXfashbqatrMtocLwXKNfjx0/QrUsnLF/4oapDaZIEQVDZqykQCXWM1N393xGg8vJyBAQEoHfv3ujduzckEolMXj8/v3oH0qxZh3qXUaawsKOIjo7DggUrAVQ8XyA5+U98840/vvzyGxVHV0FP0jA3kpNnDiI2Jh5LFnkBqKiLuGth2PHtbmz6anul/N/t3ABdvWZ45833pWlBwQeQEHcNixZ4VnkOfQM93P47FhNcZ+Dc2QvKuZB/PCktUerxASDk7BHERMdhoXvF9YpEIiTd+APbvgmAn++2SvkDdm2Grl4zvDHpXWnamdDDiI+7inlzV8jkbd++Da4mnof9gHGIj6vcWVMGiVijQc5zOuQnxMbEY/HC1QAq6i0h6Rx2bNuNDX6VO+nfB2yEnm4zvPXGf6Vpp878hIT4q3Cft7LKc1j37YUzYUfQ69XBuHs3TTkX8o9d+v2VenwAcPj1Mzy8lIKEZf4VCSIRRsRswe3vTyJ5SzUPSRSLMOioJ1L3hcJ4wKuQNNdF5Mzqf29r6jfD2OQfcGHyGmSfr9zZVSQLzcdKPT4AvHp8PQov30Dqih0VCSIRekd+h8ydvyD968NVFxKL8eqhz5G9Pxj6tq9Bo7keUt71BgBov9Iavc5tRcKwj/Hk+l/SY/aJ3Ym/1+1B9r7flX5NY/KuKv0c6nYvSLsZpNTjv4ieg8Zio/enGD6k8c2mkJh0UnUIVWpj2ENl5/47R7m/FxWhziP8sbGx0tfly5dhZWUFsViMhIQEmc8uXbqkxHAbhkQigbV1L5w5c16aJggCzpw5D1vbviqMrOFJJBL0seqBsyH/frUoCALOhv6B/rZWVZaxsbXC2VDZryJDgs/Dxta62nPM+M8U5D7Mw5X4RIXFrioV7acnQkJk20/ImXDY2lXdfmztrBFyJlwmLfj3sJeqvUkkElhZ90RoyL/1IAgCzob8gf7VtB1bW2uEhsi2tTPB56rNDwDNmxugvLwcubn5iglchUQSDbTo/QqywxL+TRQEZJ9LgKFN9VNUui6chKLsPPy1L7RO52g/bRhKcguQdzVVAVGrlkiiCb1enZF3Lu7fREFA3rnL0OvbrdpyrRe8iZL7ucgOrNx5F2tXDHoJRc8MJggChOJS6Pd/TWGxqxLvBdTYlQuCyl5NQZ0X7YaEhCgzjkbFxMQQmpqayMzMlknPzMxGt27qNY+1NsbGFXWRlSVbF1mZ2bDsWvVf+WbmJsiqou7MzE1k0kaNccT2H76Crm4zZKRnYbLbTDx4kKPYC1AB46ftJ6NyHXStpv2Ym5tWWWfm5qZKi7Oxkba1zPsy6bW2tSraplk19aatrYVVny3GoYPHkZ//SDGBq5CWUXOINTVQlJUrk16UlQv9Lq2rLGNk2w3t33ZE2IilVX7+lNlIa/TbNhcazbTwJOMhLkz5AsUPmv4fSZpGBhBpaqAk66FMeml2LnS6tK2yjH7/7jB5awSujlpQ5edPku+i6G4m2iyZhjtLtqK8sAjm77lCq7UJJGbqMTWF9wKipk2uOfzPy8vLw9GjR5GYWLe/yIuKipCXlyfzaipzoEhxzodFwMlhPMaOnILg38Pwnf+GaueCEr0oTU1N7Ny1GSKRCAvnVz2dQN1p6OnAesuHiFu0o9bO+/3wqzg7fAnOu3giK+QybLbPq3VdgDoS6+nglY3zcXvxVpTmVF1nQmkZUt5bB51OrWF95Uf0vbEfBgN7IfdMNCDwyfS14b2ASPnk2pbzzTffxJAhQzBnzhw8fvwYNjY2uH37NgRBQGBgICZNmlRjeW9vb6xevVomTUOjOSSSlvKEo3DZ2TkoLS2FmZnsKISZmQnS07NUFJVq3L9fURemprJ1YWpmgsyMqusiMyMbplXU3fMj3oWFj3HrZipu3UxFdORlXIw9hanT38DGKuZqNyX3n7Yf88p1kFFNnWVkZFVZZ9XlV0fStmYmu7DZtIq281RmRnad2qampiZ27t6Edu1b43XnaWoxug8AxQ/yUF5aBm1T2cWm2qYtUJT5sFJ+vY7m0G1vhv67PKRpInHFc1Sc7+5ByCB3FN7JBACUFRah8HYGCm9n4GFMMpz+8EP7t52QvPln5V1QAyh9kA+htAwS05Yy6ZomLVCSWXlUWbuDBbTbm8Ny5/J/E/+ps363DyFh6EcoupOOwvgUXB29ABoGuhBJNFH6IO+ftQLJyrycBsN7ATV2ArflrJFcI/xhYWEYPHgwAODIkSMQBAEPHz7Epk2bsGbNmlrLL126FLm5uTIvTc2ad0doSCUlJYiNjYeT0yBpmkgkgpPTIFy8GKPCyBpeSUkJLl+6giGO9tI0kUiEIUPtEXnxUpVloi5ewpCh9jJpQ50GIupibI3nEonF0NbWeuGYVa2i/STA0VG2/Tg6DcTFiKrbz8WIWDg+094AwGmYw0vV3kpKSnApNgFDHf9dpCYSiTDEcSAiq2k7Fy/GyuQHACenQTL5n3b2O3fuCDfXGch58FAp8auCUFKG3LhbMBnc899EkQgmDj2QE3WjUv5HyfcQ6uiBsBFLpK+Mk9HIDr+KsBFL8Pje/UplpIcViyHWlvvh7I2GUFKKgvgUGDg8s/WjSITmDr1REJNUKf+TlLtIGD4XV0YvkL4enopE/h8JuDJ6AYrvyXZey/ILUfogD9qvWECvd2c8PHVR2ZfUIHgvIGra5PrtnZubCyOjiq/bgoKCMGnSJOjq6sLZ2RkeHh61lAa0tbWhrS27w0xje1rvpk3fYccOX0RHxyEq6jLmzJkFXV1d7Np1UNWhNbhvtuzElm3rcCk2ATFRcfjfhzOgq9sM+/YcAgB8/e16pN3LwJrVvgCAb78JwLHf9uDDObNw6mQoJk52hpV1T7jP/RQAoKvbDAsWfYCg34KRkZ4FY2NDzHpvKiwszPHzkd9Udp2KtGXTd/h2hy9iYuIQHXUZH/3Tfvbs/gkAsH2HL+7dS8cqTx8AwNavdyLoVCA+nvsuTgadweQ3XNG3by/MnbNMekxDwxZo2641LCzMAQBdLSvmzWZkZFU7At7UbN3yA7Z+64PYmHjERMfhg4/+Az3dZvhxT0W9fbPdB2n3MuC16ksAwLdb/XEiaC8++ng2Tp0MwcTJLrDq2xPz51aMxmpqaiJgzxb0seqBtya/Bw2xWPrNXU5OLkpKlL9jk7Ld/PYXWG38AA8v38TD2GR0em8sNHS1kRp4FgBgtfkDPEnLQeIXgSgvKkF+4l2Z8iV5hQAgTdfQ1YblPDekn4xGUeZDaBkZoOPMUdBpZYh7xyMa9uKUJGP7z3jlq3kovJyMgks3YP6uK8TNdJC9PxgA0HHDPJSk38ffa/dAKCrBkyTZxcpleQUAIJNu6DwQpQ/yUPR3FnRf7YB2q9/Fw5MXkRd2qcGuS9l4L1CuwsLHSL17T/r+73sZSLyeghbNDWChZs8OUQZODa+ZXB3+du3a4cKFCzAyMkJQUBACAwMBADk5OdDR0VFogKry008nYGJijJUr3WFuboq4uKsYP356pYW8L4Ojh3+FsYkRliybCzNzUyTEX8Obk2YjK6tiNLBtWwuUl/87TzXyYizen70Qyz6dj+We7riZchvT3/kIidcqRhzLyspg2bUT3npnAoyMDZHzIAexMfFwHfMOkhLV4+vvQ4d+gYmpMVZ86g5zcxPExV3DBLf/SNtPu3atZeosIiIGs/4zH596LsSq1YuQknwbb015H1evXpfmGec8At9u/1L6PmD3FgDAF59vwBefb2ygK1OuI4d+hYmJMZatmA8zc1PEx13F5AmzpAt52z5XbxcjYvHeLHcs/3QBPl21EDdTbuP/3voA165WtDWL1uYY5zICAHDuzxMy53IZOxXh55p+B/bez39Cy7g5ui2eDG3Tlsi7cgcRb69FcXbFQt5mbUyA8rrfCIWycuh3aQ2bN4dAy8gAJTmP8PBSCsLdVuNR0t3aD9AE5BwPh6ZxC7Re9DYkpoYovHoLN6atRuk/dabdxrRedQYAEnNDtPOcJZ0adP+nUKRtPKCM8FWG9wLlSki8gVkffyJ9v35zxVan48eOwOcrFqoqLFITdd6H/1lbt27FvHnzoK+vjw4dOiAmJgZisRibN2/G4cOH5drRp7Htw98UNNQ+/OqmIfbhVzcNtQ+/ummIffjVTUPsw6+OGmIffnXTmPfhb8wa6z785i1eVdm5M3Ib/zayco3wf/jhh7C1tcVff/2FkSNHQiyuWArQqVOnOs3hJyIiIiJSlHIu2q2R3CuwbGxsYGNjI5Pm7Oz8wgEREREREZHi1LnD7+7uXueD+vlV/4h2IiIiIiJF4qLdmtW5wx8bK7uNVkxMDEpLS9GtW8WjyK9fvw4NDQ3069dPsRESEREREZHc6tzhf3Yhrp+fHwwMDBAQEABDw4rHhufk5GDmzJnS/fmJiIiIiBpCOUf4ayTXg7d8fX3h7e0t7ewDgKGhIdasWQNfX1+FBUdERERERC9Grg5/Xl4esrIqP0o7KysL+fn5LxwUEREREREphly79EyYMAEzZ86Er68vbG1tAQARERHw8PDAxIkTFRogEREREVFNuGi3ZnJ1+Ldt24ZFixbhnXfekT6aXlNTE7Nnz4aPj49CAyQiIiIiIvnJ1eHX1dXF1q1b4ePjg5SUFABA586doaenp9DgiIiIiIhqwwdv1UyuOfxPpaWlIS0tDZaWltDT0+PXKUREREREjYxcHf779+9j+PDh6Nq1K8aNG4e0tDQAwOzZs7Fw4UKFBkhERERERPKTq8O/YMECSCQSpKamQldXV5o+ZcoUBAUFKSw4IiIiIqLaCIKgsldTINcc/lOnTuHkyZNo27atTLqlpSXu3LmjkMCIiIiIiOjFydXhLygokBnZf+rBgwfQ1tZ+4aCIiIiIiOqKT9qtmVxTegYPHoxdu3ZJ34tEIpSXl2P9+vVwcnJSWHBERERERPRi5Brh9/HxwbBhwxAVFYXi4mIsXrwYV65cwYMHDxAeHq7oGImIiIiIqiVwW84a1XuEv6SkBHPnzsXx48fh4OCA8ePHo6CgABMnTkRsbCw6d+6sjDiJiIiIiNTC119/jY4dO0JHRwd2dna4ePFijfkPHjyIV199FTo6OujVqxd+/fXXep2v3iP8EokEcXFxMDQ0xPLly+tbnIiIiIjopbV//364u7tj27ZtsLOzw4YNGzB69GgkJSXBzMysUv4//vgDb7/9Nry9veHi4oK9e/fCzc0NMTEx6NmzZ53OKRLk2E9owYIF0NbWxtq1a+tbtFrNmnVQ2LFeFnoSLpCWx5PSElWH0ORIxBqqDqFJ2qXfX9UhNDkWmo9VHUKTNCbvqqpDaHLSbnIbcXlITDqpOoQqqbIf+fhx/XaotLOzQ//+/bFlyxYAQHl5Odq1a4ePP/4YS5YsqZR/ypQpKCgowIkTJ6RpAwYMgJWVFbZt21anc8o1h7+0tBQ//PADfv/9d/Tr1w96enoyn/v5+clzWCIiIiKiJqWoqAhFRUUyadra2lXuXFlcXIzo6GgsXbpUmiYWizFixAhcuHChyuNfuHAB7u7uMmmjR4/G0aNH6xyjXB3+hIQE9O3bFwBw/fp1mc9EIpE8hyQiIiIikosqH4Dl7e2N1atXy6R5enpi1apVlfJmZ2ejrKwM5ubmMunm5uZITEys8vjp6elV5k9PT69zjHJ1+ENCQuQpRkRERESkVpYuXVppBL6xPZdKrg4/ERERERFVP32nKiYmJtDQ0EBGRoZMekZGBlq1alVlmVatWtUrf1XkevAWEREREVFjIajwv/rQ0tJCv379EBwcLE0rLy9HcHAw7O3tqyxjb28vkx8ATp8+XW3+qnCEn4iIiIiogbi7u2PGjBmwsbGBra0tNmzYgIKCAsycORMAMH36dLRp0wbe3t4AgHnz5mHo0KHw9fWFs7MzAgMDERUVhe3bt9f5nOzwExEREVGTpspFu/U1ZcoUZGVlYeXKlUhPT4eVlRWCgoKkC3NTU1MhFv87CWfgwIHYu3cvVqxYgWXLlsHS0hJHjx6t8x78gJz78CsD9+GvP+7DLx/uw19/3IdfPtyHv/64D798uA9//XEffvk01n34tbTbquzcxUV3VXbuuuIIPxERERE1aY1k/LrR4qJdIiIiIiI1xg4/EREREZEa45QeIiIiImrSOKGnZhzhJyIiIiJSY41ml57GqKioCN7e3li6dGmje0RyY8Z6qz/WmXxYb/XHOpMP663+WGfyYb2RMrDDX4O8vDy0aNECubm5aN68uarDaTJYb/XHOpMP663+WGfyYb3VH+tMPqw3UgZO6SEiIiIiUmPs8BMRERERqTF2+ImIiIiI1Bg7/DXQ1taGp6cnF83UE+ut/lhn8mG91R/rTD6st/pjncmH9UbKwEW7RERERERqjCP8RERERERqjB1+IiIiIiI1xg4/EREREZEae2k7/Ldv34ZIJMKlS5fqXMbf3x8tW7ZUWkyNnaOjI+bPn1+nvC97XRGReqnP7z+iuqhPm6pLXpFIhKNHj0rfJyYmYsCAAdDR0YGVlZXccZJ60FR1APRyWLVqFY4ePVqvP7CIiBqLw4cPQyKRqDoMomqlpaXB0NBQ+t7T0xN6enpISkqCvr4+/P39MX/+fDx8+FB1QZLKsMNPRPQSKy4uhpaWlqrDaPSMjIxUHQI1Uo3lZ6hVq1Yy71NSUuDs7IwOHTqoKCJqTNR6Sk9QUBAcHBzQsmVLGBsbw8XFBSkpKVXmDQ0NhUgkwi+//ILevXtDR0cHAwYMQEJCQqW8J0+eRPfu3aGvr48xY8YgLS1N+llkZCRGjhwJExMTtGjRAkOHDkVMTIzSrlFZCgoKMH36dOjr68PCwgK+vr4ynxcVFWHRokVo06YN9PT0YGdnh9DQ0CqP5e/vj9WrV+Py5csQiUQQiUTw9/cHAPj5+aFXr17Q09NDu3bt8OGHH+LRo0dKvrrGo2PHjtiwYYNMmpWVFVatWqWSeJqK/Px8TJ06FXp6erCwsMBXX33FKRd15OjoiDlz5mD+/PkwMTHB6NGjVR1Sk8D2VXdPp8w+/3J0dFR1aApR1c9QQkICxo4dC319fZibm2PatGnIzs6WlqntngoAW7duhaWlJXR0dGBubo7JkyfLfF5eXo7FixfDyMgIrVq1qnSfeHZKj0gkQnR0NLy8vKR1P3PmTOTm5kr/f/A+83JR6w5/QUEB3N3dERUVheDgYIjFYkyYMAHl5eXVlvHw8ICvry8iIyNhamoKV1dXlJSUSD8vLCzEl19+id27dyMsLAypqalYtGiR9PP8/HzMmDED58+fx59//glLS0uMGzcO+fn5Sr1WRfPw8MDZs2fx888/49SpUwgNDZX5w2XOnDm4cOECAgMDERcXhzfeeANjxozBjRs3Kh1rypQpWLhwIXr06IG0tDSkpaVhypQpAACxWIxNmzbhypUrCAgIwJkzZ7B48eIGu05qmtzd3REeHo5jx47h9OnTOHfuXJP8w1pVAgICoKWlhfDwcGzbtk3V4ZCaadeunfR3fVpaGmJjY2FsbIwhQ4aoOjSFefZnaO3atRg2bBisra0RFRWFoKAgZGRk4M0335Tmr+2eGhUVhblz58LLywtJSUkICgqqVF8BAQHQ09NDREQE1q9fDy8vL5w+fbrK+NLS0tCjRw8sXLgQaWlpOHbsGDZs2IDmzZtL/78823ehl4DwEsnKyhIACPHx8cKtW7cEAEJsbKwgCIIQEhIiABACAwOl+e/fvy80a9ZM2L9/vyAIgrBz504BgJCcnCzN8/XXXwvm5ubVnrOsrEwwMDAQjh8/rpyLUoL8/HxBS0tLOHDggDTtaV3MmzdPuHPnjqChoSH8/fffMuWGDx8uLF26VBCEirpq0aKF9DNPT0+hT58+tZ774MGDgrGxsUKuoyno0KGD8NVXX8mk9enTR/D09FRJPE1BXl6eIJFIhIMHD0rTHj58KOjq6grz5s1TXWBNxNChQwVra2tVh9HkDB06lO1LDo8fPxbs7OwEFxcXoaysTNXhKMTzP0OfffaZMGrUKJk8f/31lwBASEpKqvWeKgiCcOjQIaF58+ZCXl5eted0cHCQSevfv7/wySefSN8DEI4cOSJ9//y95Pn7Mr1c1HoO/40bN7By5UpEREQgOztbOrKfmpqK1157rcoy9vb20n8bGRmhW7duuHbtmjRNV1cXnTt3lr63sLBAZmam9H1GRgZWrFiB0NBQZGZmoqysDIWFhUhNTVX05SlNSkoKiouLYWdnJ017WhcAEB8fj7KyMnTt2lWmXFFREYyNjet1rt9//x3e3t5ITExEXl4eSktL8eTJExQWFkJXV/fFL4bUzs2bN1FSUgJbW1tpWosWLaTtk2rXr18/VYdAL4lZs2YhPz8fp0+fhlisPpMKnv0Zunz5MkJCQqCvr18pX0pKCh4/flzjPRUARo4ciQ4dOqBTp04YM2YMxowZgwkTJsjcB3v37i1z7Of7H0Q1UesOv6urKzp06IAdO3agdevWKC8vR8+ePVFcXCz3MZ/fpUEkEkEQBOn7GTNm4P79+9i4cSM6dOgAbW1t2Nvbv9A5G5tHjx5BQ0MD0dHR0NDQkPmsql941bl9+zZcXFzwwQcf4PPPP4eRkRHOnz+P2bNno7i4+KXo8IvFYpn2A0BmChmRMujp6ak6BHoJrFmzBidPnsTFixdhYGCg6nAU6tmfoUePHsHV1RXr1q2rlM/CwgLJycm1Hs/AwAAxMTEIDQ3FqVOnsHLlSqxatQqRkZHSLa6r6n/UNEWZ6Fnq8+f2c+7fv4+kpCSsWLECw4cPR/fu3ZGTk1NruT///FP675ycHFy/fh3du3ev83nDw8Mxd+5cjBs3Dj169IC2trbMwp2moHPnzpBIJIiIiJCmPa0LALC2tkZZWRkyMzPRpUsXmdfzuwQ8paWlhbKyMpm06OholJeXw9fXFwMGDEDXrl1x79495V1YI2Rqaiqz6DsvLw+3bt1SYUSNX6dOnSCRSBAZGSlNy83NlbZPIlK9Q4cOwcvLCwcOHJD5Vlwd9e3bF1euXEHHjh0r3RP19PRqvac+pampiREjRmD9+vWIi4vD7du3cebMGYXFWdV9mF4eajvCb2hoCGNjY2zfvh0WFhZITU3FkiVLai3n5eUFY2NjmJubY/ny5TAxMYGbm1udz2tpaYndu3fDxsYGeXl58PDwQLNmzV7gShqevr4+Zs+eDQ8PDxgbG8PMzAzLly+Xfh3btWtXTJ06FdOnT4evry+sra2RlZWF4OBg9O7dG87OzpWO2bFjR9y6dQuXLl1C27ZtYWBggC5duqCkpASbN2+Gq6vrS7mAcNiwYfD394erqytatmyJlStXVvrWhGQZGBhgxowZ8PDwgJGREczMzODp6QmxWAyRSKTq8IheegkJCZg+fTo++eQT9OjRA+np6QAqOpzquL3pRx99hB07duDtt9+W7qKTnJyMwMBAfPfdd7XeUwHgxIkTuHnzJoYMGQJDQ0P8+uuvKC8vV+hUxY4dO+LRo0cIDg5Gnz59oKur+1J8k04V1HaEXywWIzAwENHR0ejZsycWLFgAHx+fWsutXbsW8+bNQ79+/ZCeno7jx4/Xa3/d77//Hjk5Oejbty+mTZuGuXPnwszM7EUuRSV8fHwwePBguLq6YsSIEXBwcJCZs7hz505Mnz4dCxcuRLdu3eDm5obIyEi0b9++yuNNmjQJY8aMgZOTE0xNTbFv3z706dMHfn5+WLduHXr27Ikff/wR3t7eDXWJjcLSpUsxdOhQuLi4wNnZGW5ubmo/GqYIfn5+sLe3h4uLC0aMGIFBgwahe/fu0NHRUXVoRC+9qKgoFBYWYs2aNbCwsJC+Jk6cqOrQlKJ169YIDw9HWVkZRo0ahV69emH+/Plo2bKltFNf2z21ZcuWOHz4MIYNG4bu3btj27Zt2LdvH3r06KGwOAcOHIj//e9/mDJlCkxNTbF+/XqFHZsaP5Hw/ATil1RoaCicnJyQk5MjnS9HRE1DQUEB2rRpA19fX8yePVvV4RARETUqajulh4jUV2xsLBITE2Fra4vc3Fx4eXkBAMaPH6/iyIiIiBofdviJqEn68ssvkZSUBC0tLfTr1w/nzp2DiYmJqsMiIiJqdDilh4iIiIhIjantol0iIiIiImKHn4iIiIhIrbHDT0RERESkxtjhJyIiIiJSY+zwExERERGpMXb4iYiIiIjUGDv8RERERERqjB1+IiIiIiI1xg4/EREREZEa+385r71UQOkPFgAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The light filters (u, g, r, i, z) are very correlated with each other — especially r, i, and z (above 0.92). This means they carry similar information. If we ever build a model, we might not need all 5 of them.\n",
        "\n",
        "Redshift has a moderate correlation with the filters (0.17 to 0.50), which makes sense — farther objects appear dimmer.\n",
        "\n",
        "Alpha and delta (coordinates) have almost zero correlation with anything, which leads us to the next question.\n"
      ],
      "metadata": {
        "id": "TrpTXJ3BuDNO"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Question 5: Does location in the sky matter?\n"
      ],
      "metadata": {
        "id": "L69ehNnSuLJ6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# scatter plot of sky coordinates colored by class\n",
        "plt.figure(figsize=(12, 6))\n",
        "for cls in df['class'].unique():\n",
        "    subset = df[df['class'] == cls].sample(1000, random_state=SEED)\n",
        "    plt.scatter(subset['alpha'], subset['delta'], label=cls, alpha=0.3, s=5)\n",
        "plt.title('Sky Location by Class (sample of 1000 per class)')\n",
        "plt.xlabel('Alpha (Right Ascension)')\n",
        "plt.ylabel('Delta (Declination)')\n",
        "plt.legend()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 321
        },
        "id": "47jh0g6euM4q",
        "outputId": "2ce9d910-93fc-4cd3-b081-854b1cfd531c"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The 3 classes are spread across the sky pretty evenly — there's no specific area where you'd only find stars or only quasars. This confirms what we saw in the correlation matrix: sky coordinates don't help us classify objects. What matters is the light measurements and redshift, not where in the sky we're looking.\n"
      ],
      "metadata": {
        "id": "R_4S9z23uVgD"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Conclusion — Can we classify celestial objects from telescope data?\n",
        "\n",
        "Based on everything we explored, the answer is **yes** — the telescope measurements do contain enough information to separate Stars, Galaxies, and Quasars. Here's what we found:\n",
        "\n",
        "- **Redshift is the strongest indicator.** Stars sit at ~0, Galaxies are in the middle, and Quasars are the highest. This single feature already does a lot of the work.\n",
        "- **The light filters (u, g, r, i, z) add useful information.** Stars tend to appear brighter, Quasars have more even readings, and Galaxies fall in between. Though the filters are very correlated with each other, so not all 5 are equally important.\n",
        "- **Sky location doesn't matter.** Alpha and delta don't help us — objects of all types are spread across the entire sky.\n",
        "\n",
        "So if I had to guess what type of object the telescope is looking at, I'd first check the redshift, then look at the light filter values. The coordinates wouldn't help me much.\n"
      ],
      "metadata": {
        "id": "meF5Z4YJwUVM"
      }
    }
  ]
}