10.fundamental_algorithms.ipynb

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  "metadata": {
    "colab": {
      "name": "10.fundamental-algorithms.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "c8Km3-aMfTRi",
        "colab_type": "code",
        "outputId": "54977923-15b1-4039-f9c3-553b3d05f128",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 161
        }
      },
      "source": [
        "!pip install gdown"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: gdown in /usr/local/lib/python3.6/dist-packages (3.6.4)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from gdown) (2.21.0)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from gdown) (1.12.0)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.6/dist-packages (from gdown) (4.28.1)\n",
            "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->gdown) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->gdown) (2019.9.11)\n",
            "Requirement already satisfied: idna<2.9,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->gdown) (2.8)\n",
            "Requirement already satisfied: urllib3<1.25,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->gdown) (1.24.3)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TxTFtD0pfeAJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "from pylab import rcParams\n",
        "import matplotlib.pyplot as plt\n",
        "from matplotlib import rc\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "%matplotlib inline\n",
        "%config InlineBackend.figure_format='retina'\n",
        "\n",
        "sns.set(style='whitegrid', palette='muted', font_scale=1.5)\n",
        "\n",
        "rcParams['figure.figsize'] = 16, 10\n",
        "\n",
        "RANDOM_SEED = 42\n",
        "\n",
        "np.random.seed(RANDOM_SEED)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "49WQl5b-fhIw",
        "colab_type": "code",
        "outputId": "4621de6c-eebd-4219-8da1-abbb862893ee",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 89
        }
      },
      "source": [
        "!gdown --id 16VDAc-x1fGa2lpsI8xtLHK6z_3m36JBx --output auto.csv "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=16VDAc-x1fGa2lpsI8xtLHK6z_3m36JBx\n",
            "To: /content/auto.csv\n",
            "\r  0% 0.00/20.5k [00:00<?, ?B/s]\r100% 20.5k/20.5k [00:00<00:00, 34.6MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8i5Uph0FqrBQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "auto_df = pd.read_csv(\"auto.csv\", index_col=0)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8H6oKxj6q6IH",
        "colab_type": "code",
        "outputId": "bb9b67a8-1746-4463-cbab-a2b4d916366e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "auto_df.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(392, 9)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oCm3MG1gqs4d",
        "colab_type": "code",
        "outputId": "a076de74-375a-4130-f77c-2b29a50fce76",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "auto_df.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>mpg</th>\n",
              "      <th>cylinders</th>\n",
              "      <th>displacement</th>\n",
              "      <th>horsepower</th>\n",
              "      <th>weight</th>\n",
              "      <th>acceleration</th>\n",
              "      <th>year</th>\n",
              "      <th>origin</th>\n",
              "      <th>name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>18.0</td>\n",
              "      <td>8</td>\n",
              "      <td>307.0</td>\n",
              "      <td>130</td>\n",
              "      <td>3504</td>\n",
              "      <td>12.0</td>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>chevrolet chevelle malibu</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>15.0</td>\n",
              "      <td>8</td>\n",
              "      <td>350.0</td>\n",
              "      <td>165</td>\n",
              "      <td>3693</td>\n",
              "      <td>11.5</td>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>buick skylark 320</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>18.0</td>\n",
              "      <td>8</td>\n",
              "      <td>318.0</td>\n",
              "      <td>150</td>\n",
              "      <td>3436</td>\n",
              "      <td>11.0</td>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>plymouth satellite</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>16.0</td>\n",
              "      <td>8</td>\n",
              "      <td>304.0</td>\n",
              "      <td>150</td>\n",
              "      <td>3433</td>\n",
              "      <td>12.0</td>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>amc rebel sst</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>17.0</td>\n",
              "      <td>8</td>\n",
              "      <td>302.0</td>\n",
              "      <td>140</td>\n",
              "      <td>3449</td>\n",
              "      <td>10.5</td>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>ford torino</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    mpg  cylinders  displacement  ...  year  origin                       name\n",
              "1  18.0          8         307.0  ...    70       1  chevrolet chevelle malibu\n",
              "2  15.0          8         350.0  ...    70       1          buick skylark 320\n",
              "3  18.0          8         318.0  ...    70       1         plymouth satellite\n",
              "4  16.0          8         304.0  ...    70       1              amc rebel sst\n",
              "5  17.0          8         302.0  ...    70       1                ford torino\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YmRSycVcFfCt",
        "colab_type": "text"
      },
      "source": [
        "## Exploration"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yl3zSCYmq82H",
        "colab_type": "code",
        "outputId": "857031d5-9eaf-4a15-cd8d-632173c9138e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "missing = auto_df.isnull().sum()\n",
        "missing[missing > 0].sort_values(ascending=False)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Series([], dtype: int64)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8DTIdy-M_7XG",
        "colab_type": "code",
        "outputId": "48086ef2-c047-4cf5-b524-d40c96f1c841",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        }
      },
      "source": [
        "sns.distplot(auto_df.acceleration);"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
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RAAAAMHCEwwAAABWwbktHNm3vTJJUVyVva3HW8FBUXVWV35ozqtR+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\nAAAAJJHVYmjBtFSVl7i1dnOHqhsCkiR/KKZXN7Rr5/74UNOZqTzYDADA6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            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 963,
              "height": 605
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wdiuCEg2GF1M",
        "colab_type": "code",
        "outputId": "0e97e111-3abb-4a17-8f5a-782d3298884e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        }
      },
      "source": [
        "sns.countplot(auto_df.year + 1900);"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 958,
              "height": 605
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZwMQ-PZutuLv",
        "colab_type": "code",
        "outputId": "ae9dd680-dece-487a-9c9d-ad3b9a8d67ad",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        }
      },
      "source": [
        "sns.scatterplot(auto_df.weight, auto_df.acceleration);"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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HlEqPKWwuUDxWr1iECyMz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\nZmjPzoj6h9NKJFNKpecUNlsUj4UV7W7ee5PVkhEMKJGccNQ2kUwp2m1WO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            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 974,
              "height": 605
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X29gzU4T5fai",
        "colab_type": "code",
        "outputId": "18f10f91-23f8-4c8f-f4db-86d50fa826a0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        }
      },
      "source": [
        "sns.scatterplot(auto_df.horsepower, auto_df.acceleration);"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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1S2/JFVWMOG4r\n+85p42RVvEa1Y0W8oktAwCehqc6TdbumOg/8jZIluce8Km47RERERERERERE5cbUgjMREVlPSaoI\nR+SMRRVNV18M7d1yau1SpzPiuK3sO6eNk1XxGtWOlfGOHlWw8dqGjEXnpjoPNl7bgNExxfR4mVcG\ntBMpfr8QERERERERERE5CQvOREQlRnQJCIWHdG0bCkdL5m6+qcftcgENC9w449QT0LDADdeEd7xM\nx21l3zltnKyK16h2rIz3l6FDiI0p2LzBh7uvX4qP+r3wN1bjo34v7r5+KTZv8CE2puCXoXdNj5d5\nZUA77cXvFyIiIiIiIiIiIicxdQ3ndFRVRXd3Nw4dOgRZljE2Nqb7tVdccYWJkRER6TN1DdZsa7IW\nS1Qe17ldwuRIrBWVxyF5RFy2thaXrqnFvDlVqecOD49h2yuD+N2uwazHbWXfOW2c9MYbH1MAzPxc\nMapfrOrfvf1x3PyjCC5bU4tL1tbi9k/Vp54bGB7Dz7b349ldg/Atnm1JvKWaV4XG67R+mcgJ7ztE\nRERERERERFS+LCs4v/nmm3jkkUfwwgsvIBbL/nWGmbDgTETFpE3w7+4ZQSg8hKg8Dq9UgWCgBgGf\nZKsCgFfSd3n3SpUmR2KtpQvduPnKU7CgZhbCERmPbu+fNE7XrVuIdatq8OzLgxn3YWXfOW2c9MS7\nqLYKN15xCgDM+Fwxql+s6l+vVAG5R8HjfxjA1hcHUD/fjRPcIo7EFewfiCOZtDbeUsyrY9sVPk5W\ntGMkJ73vEBERERERERFR+bKk4Pzwww/jhz/8IRRFgapmXhNPEISMzwsCJ9OIqHiUpIpYXEHrlt5p\na4C2dQyjqc6DTS0N8LjFok/+K0kVwUAN2jqGc24bDHhLpmChJFVcc9ECHB1TccuDkYzjtPHaBlwd\nPDntcVvZd04bJz3xSh4Rd1+/FC6XkHUMsp0rRvWLVf07tZ1kEnj7ULxo8ZZiXmmMHKes7fiL3y+A\ns953iIiIiIiIiIiovJm+hvOvf/1rfO9738P4+HiqmDxnzhzMmjULwLFC8qJFi3DSSSdNKioLgpB6\nbtGiRVi4cKHZoRIRZSS6hLST/pquvhhat/TaYtJfdAkI+CQ01XmybtdU54G/UbJFzEYQXQLcVSI2\n/jz7OG38eS9mV6Uv0FjZd04bJz3xXra2FgtqZuGuAs4Vo/rFqv61W7ylmFeAxePkK36/AM563yEi\nIiIiIiIiovJmasF5eHgY3/rWtwAcKyB/5CMfwfbt2/Hyyy9j9erVqe1eeOEF7Nq1C6+99hp++tOf\n4uKLL049d9ppp+E///M/8cILL5gZKhFRRkpSRTgiZ5z013T1xdDeLUNJZv4mB6soSRWbWhoyFle0\nO+PsEKtRjBonK/tuYlsuF9CwwI0zTj0BDQvccLnsN07Z+sblAi4/Z66txsCqsbRbvE47/502TlZw\n4vsOERERERERERGVL1O/Uvu3v/0tRkdHIQgCVq1ahQcffBAuV+Yat8fjwbnnnotzzz0XL730Em66\n6Sbs3LkTLS0tePzxx1FRYdmS00REKaJLQCg8pGvbUDgKf6NkckS5iS4BHreIzRt8aO+WEQpHEZUT\n8EqVCAa88DeW3tqfRo2TlX03sa34WBLuquPvkdrPdhqnbH3zibNr4ZUq8W/bDuralxVjYNVY2i1e\np53/RRmniIxQ+4R2/F74bbQmshPfd4iIiIiIiIiIqHyZWsHdtWtX6vFtt92Wtdg81TnnnIMHHngA\nLS0teOONN3D//ffjlltuMSNMIqKcovK4zu0SJkein1Y0aV5aPakYod0JZ4eiitGMGqdi9F3nviMI\nhYcQlcfhlSoQDNQg4LNfESlX39htDKwaS7vF67Tz3/JxWlYNv8/e/eLE9x0iIiIiIiIiIipPphac\nI5EIgGNrNq9cuTLjdqqqTlq/WbN27VpcdNFF+P3vf4/HH38cN910E0RRNC1eIqJMvJK+y6VXqjQ5\nkvxNLaDYqaBiNKPHyey+U5IqYnEl7TqtbR3Dqa/49bjTrzldTJn6xq5jYNV5YLd4nXb+WzlOPT09\nqKysRH19vS37xcnvO0REREREREREVF5MX8NZEASceuqp056bWDiOx+MZ9/HRj34UAPC3v/0Nr7zy\niuExEhHloiRVBAM1urYNBrxcS7NInDhOoktIW2zWdPXF0Lql15bFsHScOAZUvoaHh3H48OFih5EW\nzyUiIiIiIiIiInISUwvOicSxr/jzeDzTnjvhhBNSj4eGMq9Rt3jx4tTjAwcOGBgdEZE+oktAwCeh\nqW76tWyipjoP/I2SY4qDpUYA8hqnYo+SklQRjsgZi82arr4Y2rtlRxSUeK4QGYPnEhERERERERER\nOYmpBWdJOrY23pEjR6Y9d9JJJ6Ue9/X1ZdyHVrQGshemiYjMpCRVbGppyDj5r331sROKgqXK5RIQ\nlRPYeG32cdp4bQOicgKuIhdoRJeAUFjf+1ooHHVMQYnnCpExJp5LLhfQsMCNM049AQ0L3HC5eC4R\nEREREREREZF9mLqG8ymnnIJoNIqBgYFpzzU2NqYev/baazj77LPT7mP37t2px2632/ggiYh0EF0C\nPG4Rmzf40N4tIxSOIion4JUqEQx44W+UoCRVxxQFS9VPn+vH/xs8GZs3+BCOyNjRfnycLvR7EfBJ\n6B86isd2vIv/7/+pL3a4iMrjOrdL5N7IJux6rkxtk+cr2d3Ecyk+loS76vjfiWo/M4/LF69pRERE\nRERERGQnphacTzvtNPz1r39Ff38/RkZGUF1dnXouEAikHv/mN79BS0vLpOeBY2vrPfbYY6mf060F\nTURkFW0it3lpNfyNUurftbvLONFbfElVxc0/iuCyNbW4ZG0tbv/U8aLywPAYfra9H8/uGsSaphOL\nGOVxXknf27BXqjQ5EmPZ6VzRijC7e0YQCg8hKo/DK1UgGKhBwMc/FCFn6Nx3JG3+UvnhNY2IiIiI\niIiI7MjUgvPq1avx29/+FgDw0ksv4aKLLko9d/rpp2PZsmXYu3cv3n33Xaxfvx633XYbPvCBDwAA\nXn31VXzrW9/C4cOHAQDV1dVYvXq1meESEekydSKXE7v2oCRVBAM1aOsYxuN/GMDWFwdQP9+NE9wi\njsQV7B+II5k8tm0w4C36pPzEeHOxQ7wzUexzRUmqiMUVtG7pnbZWdlvHcOoriT1u0XF9S6WP+UtT\nMSeIiIiIiIiIyK5MXcP5vPPOg8t1rInnn39+2vO33norVPXY3U6vv/46rr32Wvj9fvj9fnz+859H\nd3c3AEAQBFx//fWYPXu2meESEZGDiS4BAZ+UWjs4mQTePhTHG28fwduHjhebm+o88DdKRZ+Mnxpv\nJnaJ14lEl5C2MKPp6ouhdUsv+5ZsiflLUzEniIiIiIiIiMiuTC04z507F3//93+PFStW4ODBgxgd\nHZ30/IUXXoh/+qd/ShWdVVVN/af9DADr1q3DF77wBTNDJSKiEqAkVWxqachYxNXu/tK+2rnYnBav\nkyhJFeGInLEwo+nqi6G9W2Yfk60wf2kq5gQRERERERER2ZmpX6kNAPfee2/W52+55RZ84AMfwI9/\n/GO88cYbqX9XVRX19fX47Gc/i09/+tNmh0lERCVAdAnwuEVs3uBDe7eMUDiKqJyAV6pEMOCFv9Fe\n61s6LV4nEV0CQuGh1M8uF7Bkvhset4hYXMG+CV+xHgpHJ601TVRsU/M3G+ZveWBOEBEREREREZGd\nmV5w1iMYDCIYDGJoaAj9/f0YHx/H/PnzsXDhwmKHRkREFptaYM234Kpt27y0etKEu3a3l92Kt06L\n10mi8jgkj4jL1tbi0jW1mDenKvXc4eExbHtlEL/bNYionChilETpReVxndvZL38LvY5Tek7OCSIi\nIiIiIiIqbbYoOGtqampQU1NT7DCIiKgItILE7p4RhMJDiMrj8EoVCAZqEPDlf6fv1G3tXuwQXQI6\nOzshiiKWL19u+3idYOlCN26+8hQsqJmFcETGo9v7J+XVdesWYt2qGjz78mCxQyWaxivp+5julSpN\njkQ/o6/jNJkTc4KIiIiIiIiIyoOpBecHHngg9fiqq67CggULzGyOiIgcSkmqiMUVtG7pnbY+ZVvH\ncGotY49bLOlixejoaLFDKBlKUsU1Fy3A0TEVtzwYyZhXG69twNXBk1kII1tRkiqCgRq0dQzn3DYY\n8Noif3kdN5cTc4KIiIiIiIiIyofLzJ0/8MAD+NGPfoRf/OIXmDt3rplNERGRg4kuIW2RQtPVF0Pr\nll5OnpNuokuAu0rExp9nz6uNP+/F7CoWwMheRJeAgE9CU50n63ZNdR74GyVb5C+v4+ZyYk4QERER\nERERUfkwteDsdrsBAKeeeioqKmz17d1ERGQTSlJFOCJnLFJouvpiaO+WU2sbE2XDvCKnU5IqNrU0\nZCwwancM2yF3eb5Zw0k5QURERERERETlxdQq8Ny5c3HgwAFUVVWZ2QwRETmY6BIQCg/p2jYUjsLf\nKJkcEZUC5hU5negS4HGL2LzBh/ZuGaFwFFE5Aa9UiWDAC3+jfdZE5vlmDSflBBERERERERGVF1ML\nzkuXLsU777yDAwcOmNkMEdnY1IlPToRSOlF5XOd2CcPaZG4Wxqr+K6SdfPPKiGMyql/slJ96YrFT\nvKVE68PmpdWTirTaHax26uNiXMfLkZNygoiIiIiIiIjKh6kF54svvhgvvvgi+vv70dXVhaamJjOb\nIyIb0YoNu3tGEAoPISqPwytVIBioQcDHO3BoMq+k7+3IK1UW3BZzszBW9Z8R7eSbV2/1xfDMy+/N\nqC2j+sVO+aknFgC2ibcUTRyD3T0yxhIqqioFrFwm2a5/rbyO0/TCsl3ygIiIiIiIiIjKk6kF50sv\nvRQPPfQQ9u/fj7vvvhuPPvoo13ImKgNKUkUsrqB1S++09RzbOoZTawx63CInSAlKUkUwUIO2juGc\n2wYD3s+/Yn0AACAASURBVIIKLMzNwljVf0a0k29eDckJ3PZwN5LJmbVlRL/YKT9zxRJorMY3Whow\nejRpi3hLUbYx2LrzsK3618rrOBERERERERER2Y/LzJ273W5873vfgyRJeO211/CFL3wB7777rplN\nEpENiC4h7QS5pqsvhtYtvZxsJgDH8iXgk9BU58m6XVOdB/5GqaC8YW4Wxqr+M6KdfPPqmT+/N6nY\nnG9bRvSLnfIzVyyn1XlQIbpsE28pslM+5GLldZyIiIiIiIiIiOzH1NuNX331VQDAl7/8Zdxzzz34\n05/+hGAwiAsuuACrVq1CXV0dqqur4XLpq3uvXr3azHCJyABKUsXunpGME+Sarr4Y2rtlNC+t5sRz\nmVOSKsYSSWy8tgEbf56+uNJU58HGaxswOqagqsI14zVxmZszZ1X/GdmOklSxqaUhY9Guqc6Db7Q0\noH/oKJ7dNTijtvKKNyKjeVn6eO2Un7licbmAS9fUIhyRbRFvKTIqr6yk53zb1NLAu5uJiIiIiIiI\niEqQqQXna665BoJwfEJJVVUkEgns2LEDO3bsyGtfgiCgs7PT6BCJyGCiS0AoPKRr21A4Cn+jZHJE\nZHeiS8AvQ4fw8XPmYvMGH8IRGTvao4jKCXilSlzo9yLgk9A/dBRbXxzE5y5dNON27J6bs2fPhiiK\nlrerh1X9Z2Q7okuAxy1i8wYf2rtlhMLH8yoY8MLfKCEqJ/C1R/ZiZFSZUVt5xdsehd+XPl475Weu\nWJbMd2PenCo8ur1f1/54rc+fUXllpann2+6eEYwlkqiqdGHlsmr4G+215jQRERERERERERnH0gWV\nJxaf86GqqsGREJGZovK4zu0SJkdiX1Mn3Ys9CZ8rHqPizbSfvf1x3PyjCC5bU4tL1tbi9k/Vp7YZ\nGB7Dz7b349ldg/Atnp13mxPZOTeVpIoVK1ZM+tluhRmr+k9vO/GxY0XibPmp/b95afWkoqeSPPbZ\n4v6n38HBwTEdMWU+JqP6xYz+nem5my0Wj1vMuc3kfZXvtb4QTuzfXOeb3a5pRERERERERERkDNML\nziwWE5Ufr6Tv0uKVKk2OxH60Ys/unhGEwkOIyuPwShUIBmoQ8Fl/95feeAqNN9N+PnH2XJy+5AR4\npQrIPQoe/8MAtr44gPr5bpzgFnEkrmD/QDy1tm6hOWPH3LRbTmRjVf/paWdRbRVuvOIUANDVd1P7\nUPvZXaVvWY9sx2RUvxjZv4XmVbZYYnHF8HhpOif2r5OuZ0REREREREREZBxTC85dXV1m7p6IbEhJ\nqggGatDWMZxz22DAW1aTz0pSRSyupF3fsq1jOLW+pcctWtIneuM5mkjivsf3QY4paZ/PFW+2dna+\nPoxf/vOKSTmTTAJvH4qn3VchOWPH3LRbTmRjVf/paUfyiLj7+qVwuQTc8mBkxn1nxDHltQ9/5n4x\nsn8LzatcsewbiOPw8JjtzqdSYlReWclJ1zMiIiIiIiIiIjKWvtt6iIh0El0CAj4JTXWerNs11Xng\nb5TKatJZdAlpJ+I1XX0xtG7ptaxP9MYz96QqXLamNuPzueLN1k4yCfznS+9ZkjN2zE275UQ2VvWf\nnnYuW1uLBTWzcFeBfWfEMeW1D1/mfjGyfwvNq1yxJJPAtlcGbXc+lRKj8spKTrqeERERERERERGR\nsVhwJiLDKUkVm1oaMk6Ua3c5aWs6lgMlqSIckTNOxGu6+mJo75ZN75t84glHZFyythauNO8YueLV\n087vdg2if+govmFBztgpN+2WE3pY1X/Z2nG5gMvPmWtY3xlxTEb1i1GxGNE3uWJ5qy+GcSVpm/Op\nFNnpepVLXnkXscf1jIiIiIiIiIiIjGP6Gs5EVH5ElwCPW8TmDT60d8sIhaOIygl4pUoEA174G8tv\nHUfRJSAUHtK1bSgchb9Rsk08O9qjuP1T9aif7077VdfZ4tXTjhxT8LVH9uI7/9Roes7YKTftlhN6\nWNV/2dr5xNm18EqV+LdtB3XtK1ffGXFMk/YRkRFqn7APvxd+nWvXGhWLEXmlNxa7nE+lyKi8sipW\n3XnXHoXfV/zrGRERERERERERGYcFZyIyhTYB3ry0elJBQ7uryQ4T5FaLyuM6t0uYHInWTn7xnOAW\nsz5fSDsHB8fwwH+8g69f3WB6ztgpN+2WE3pY1X+52jGy74w4ptQ+llVPKqbl2y9GxGJU3+QTix3O\np1JkVF5ZwYnXMyIiIiIiIiIiMoblBeddu3bhz3/+M/7nf/4H0WgUsixDVVWEQqFp2/b390NVj02o\nLVq0yOpQicgAUyfD7TQ5bjWvpO+S65UqTY5Eaye/eI7ElazPF9qOu+pYQduqnLFDbtotJ/JR7HEy\no++MOCaj+qWQ/RjdN3piscP5VMqc0L9Ovp4REREREREREVFhLFvD+c9//jM+8YlPoKWlBQ8//DD+\n/Oc/480330RfXx8OHDiQ9jVf/vKXceGFFyIYDKK9vd2qUImIDKckVQQDNbq2DQa8lqzhrDeeC/1e\nDAyPYf/A9K/TBrLHa7fjthP2zcyx7zJj31Ax5JV3fuYdEREREREREVGpsaTg/NBDD+Ef//Ef0d3d\nDVVVJ/2XzXXXXZfa7plnnrEiVCIiU4guAQGfhKY6T9btmuo88DdKpt+9lk88AZ+E53YNIplM/3y2\neO123HbCvpk59l1m7Bsqhrzyzse8IyIiIiIiIiIqNaYXnH/7299i8+bNqcLxiSeeiCuvvBJ33nkn\nfD5f1tdecMEFkKRj69W9+OKLZodKRGQqJaliU0tDxgn5pjoPNrU0WHbnl9543nt/DM/uGsz4fK54\n7XbcdsK+mTn2XWbsGyoG5h0RERERERERUfkydQ3n999/H//6r/+a+vkTn/gE7rrrLlRXVwM4VkSO\nRCKZg6uowLnnnovnn38eBw4cQH9/PxYuXGhmyEREphFdAjxuEZs3+NDeLSMUjiIqJ+CVKhEMeOFv\nlKAkVcvu/NIbj+SpwJ2fWYLdPSMYSyRRVenCymXVuuOd2s5M91OK7JYTTsK+y4x9Q8UwKe8iMkLt\nE/LO74Xfx7wjIiIiIiIiIipVphacf/Ob3+Bvf/sbBEHARz7yEXz729/Oex9nnnkmnn/+eQBAd3c3\nC85E5GjaRHvz0mOFVo12x5fVE/F64yk0Xrsdt52wb2Yun76bWugq9cIX84qKIZV3y6rh9zHviIiI\niIiIiIjKhakF5z/+8Y+px1/5yldmtI9TTz019fjAgQOFhkREZAtTJ92LPQmfKR6tKLe7ZwSh8BCi\n8ji8UgWCgRoE8rhbzaj9lDLRJaCzsxOiKGL58uVl3x/5yHY+lXvu2e1aQ6Vt4vm2/91RCIIAVVVR\nf/LssjjfiIiIiIiIiIjKlakF57179wIAlixZgvr6+hnt48QTT0w9lmXZkLiIiCg3JakiFlfQuqUX\nXX2xSc+1dQyn1uP0uMWsBQSj9lMORkdHix1CSWHuEVkn2/kGgOcbEREREREREVEJc5m582g0CkEQ\nsGDBghnvQxCOT0ipqmpEWEREpIPoEjIWDgCgqy+G1i29utZwNmI/RPli7hFZh+cbEREREREREVH5\nMrXg7PF4AADxeHzG+xgaGko99nq9BcdERES5KUkV4YicsXCg6eqLob1bTq3PadZ+iPLF3COyDs83\nIiIiIiIiIqLyZmrBuaamBqqqYt++fTPex+uvv556fPLJJxsRFhER5SC6BITCQ7k3BBAKRzPesWbU\nfojyxdwjsg7PNyIiIiIiIiKi8mZqwbm5uRkAMDw8jHA4nPfrFUXBc889BwAQRRGBQMDQ+IiIimXq\n3V12vNsrKo/r3C5hyX6I8sXcI7IOzzciIiIiIiIiovJlasH5ggsuSD3evHlz3mswP/LIIzh48CAE\nQcBZZ52F6upqo0MkIrKUVlje3TOCb/37Pnzl//bgW/++D7t7RiY9bwdeqULndpWW7IcoX8w9Iuvw\nfCMiIiIiIiIiKl+mFpw/9rGPYcmSJQCA1157DXfeeScSCX13Nfz7v/87vv/976d+/tznPmdKjERE\nVlGSKmJxBbc8GMFXH9mLto5hdPSMoK1jGF99ZC9ueTCCWFyxRdFZSaoIBmp0bRsMeLOu4WzEfojy\nxdwjsg7PNyIiIiIiIiKi8mZqwVkURXzta1+Dy3Wsmaeffhof//jH8atf/Qp79+5FMplMbTsyMoLe\n3l489dRT+MxnPoONGzdCURQIgoB169bhvPPOMzNUIiLTiS4BrVt60dUXS/t8V18MrVt6bbG2pegS\nEPBJaKrzZN2uqc4Df6OUdQ1nI/ZDlC/mHpF1eL4REREREREREZU3UwvOAHD++efjq1/9aurn/fv3\n41/+5V9w2WWX4aWXXgIAqKqK1atX49JLL8Wdd96J9vb21Ndvr1ixAvfdd5/ZYRIRmUpJqghH5IzF\nZk1XXwzt3bIt7v5Skio2tTRkLCA01XmwqaUhZ6xG7YcoX8w9IuvwfCMiIiIiIiIiKl/6Flsr0Gc+\n8xksXrwYX/nKVzA0NJT6d0EQIAjH7nDQCsyCIKQeX3bZZbj77rvhdrutCJOIyDSiS0AoPJR7QwCh\ncBT+RsnkiHITXQI8bhGbN/jQ3i0jFI4iKifglSoRDHjhb5SgJNWcd6oZtZ9yMHv2bIiiWOwwSgZz\nj7KZP38+qqqqih1GyeD5RkRERERERERUviwpOAPABRdcgFAohK1bt+Lpp5/GW2+9NekrtTVutxsf\n+tCHsH79egQCAavCIyIyXVQe17mdvrXuraAVBpqXVk8qgmt3qOktHOSzn6kFiXIpUChJFStWrJj0\nczkctxGy5YzVuWdU/jrtPHBivHV1dZN+tnu8Tuhfo94ziKi0OeWaRkRERERERPpZVnAGAI/Hg5aW\nFrS0tECWZezZswfDw8MYHR3FiSeeiLlz52L58uWoqLA0LCIiS3glfdc2r1RpciT5mzoJONMi3O6e\nEezukTGWUFFVKWDlMgkBnzSpGLG7ZwSh8BCi8ji8UgWCgZrUNqU4GTmxb8rpuI2gp+8AWJJ7Ro2j\n0/KB8ZrLafFqCn3PIKLS5NRrGhEREREREeVWtMquJElYtWpVsZonIrKUklQRDNSgrWM457bBgLek\nJtyUpIpYXEHrlt5pa1hv3XkYgcZqfKOlAaNHk2m3aesYTq396XGLJdMvQPa+KeXjNoLevps9y4Wv\n/nQvwt0jk7YxMveMGken5QPjNZfT4iUiyobXNCIiIiIiotLmKnYARETlQHQJCPgkNNV5sm7XVOeB\nv1EqqYk20SWknVzUnFbnQYXoyrpNV18MrVt6S6pfgNx9U6rHbQS9fVchunDaKenPO6Nyz6hxdFo+\nMF5zOS1eIqJseE0jIiIiIiIqbSw4ExFZREmq2NTSkLHorN3ZoX3FbylQkirCETnj5KLLBVy6pjbr\nNpquvhjau+WS6Z9cfaMpteM2Qj59F47IuGRtLVxTPvEYlXtGjaPT8iGveCOMN19Oywciomycdg0m\nIiIiIiKi/LHgTERkEdElwOMWsXmDD/esX4qP+r3wN1bjo34v7lm/FJs3+EruawRFl4BQeCjj80vm\nuzFvTlXWbSYKhaMl0z+5+maiUjrufE2ddNa+bl5v3+1oj2L+nCrUz3dP+nejcs+ocXRaPuQVb3t5\nx5suh3NxWj4QEWXjtPcMIiIiIiIiyl/Bazi/+uqrRsShy+rVqy1ri4jIDNoEWvPSavgbpdS/awWI\nUpxgi8rjGZ/zuMWc20zeV8KQmOyiXI9bD62wvLtnBKHwEKLyOLxSBf7+Q/OwvM6Td9+d8L+5pjEy\n94waR6flA+PNLlMOBwM1CPik1PN2iZeIyEy8phEREREREZW2ggvO11xzDQTB/AKJIAjo7Ow0vR0i\nIitMLTKUYqFZ45Uyv9XE4krObSbvq9KQmOyiXI87FyWpIhZX0q71+PahOB68eXnefXfkf3NNY2Tu\nGTWOTssHxptZthxu6xhOLaGQ7VstnNa/RETZ8JpGRERERERU2hzxldqqqkJVuY4TEZHTKEkVwUBN\nxuf3DcRxeHgs6zYTBQPeklnXL1ffTFRKx62H6BLSFuqA/HPmQr8XA8Nj2D8QL2g/mcbAqHF0Wj7k\nFa+//OLNlsPAsXVKW7f0Ziw2Oy0fiIiycdp7BhEREREREeXPkIKzVhA26z8iInIm0SUg4JPQVOdJ\n+3wyCWx7ZTDrNpqmOg/8jVLJ3A2eq280pXbcuShJFeGInLFQl2/OBHwSnts1iGSysP1kGgOjxtFp\n+ZBXvL7yijdXDmu6+mJo75bTFlaclg9ERNk47T2DiIiIiIiI8lfwV2p3dXUZEQcREZUoJaliU0tD\nxrv93uqLYVxJZt1G+/rZXGueOk2uvinV485GdAkIhYeybvO7XYNYt6oGG69rwMafZe+7cSWJt96J\nweUClsx3w+MWEYsr2DcQNyz3jBpHp+UD401PTw5rQuEo/I1SznjfOhCblr+nLbZX/xIRZeO09wwi\nIiIiIiLKj6DyFmIy0J49ezAyMoLq6mosX7682OFQgf7yl78AAM4666wiR0JOp00etnfLCIWjiMoJ\neKVKBANe+Bul1B1+ubYpxQlIPX1j5HFP3Z8d+/Ur/7cHHT0jWbdZVFuFb32+EbUnVurKq/hYEu6q\n41/sov1sVO7lM47ZxsDqfChUKt6IjFD7hHj9Xvh95RuvnhwGAH9jNe5ZvyxnvNny1079q3HCdYas\nx8+V05XbueK09wwn4/lGZC2ec0TW4flGZC2ec+WnkBpfwXc4ExER5aJNHjYvrZ50N9/EYp9Gzzal\nJJ++KYQ2ibu7ZwSh8BCi8ji8UgWCgRoEbDbJ65Vyfzw5ODiGx154FzdecUrWvtMed+47kva4te2A\nwsZAzz7yGQOnnAepeJdVw+9jvBo9OXxsu0pd22XLXztx0nWGqJjK9Vxx2nsGERERERER6ceCMxER\nWWbqRGKmNXFzbVOKRJeAzs5OiKKI5cuXG35XcyyupP0ay7aO4dTXWHrcYtH7W0mqCAZq0NYxnHPb\n8848Ke2k/MS7hfM5biNyz06xWMmJ8fb19aGqqgonn3yy4eeb3hwOBrwZC0tOOm8B58VLVCw8V5z3\nnkFERERERES5uXJvQkRERFYYHR3FyEjur+HNl+gSMq6ZCABdfTG0bum1xYSv6BIQ8EloqvNk3a6p\nzgN/o5Q1Zjsdt51ioWMGBgbwzjvvGL5fo3LYaTnjtHiJioXnChEREREREZUiywvOfX19eOKJJ9Da\n2oobb7wRLS0tuO6666wOg4iIqCwoSRXhiJxxYlvT1RdDe7ec+lrLYlKSKja1NGQs2Gl3f2WL1U7H\nbadYyBqF5rDTcsZp8RIVC88VIiIiIiIiKlWWfaV2JBLBd7/7Xbz44otQ1eO/OKuqCkFI/9fbV155\nJd58800IgoCnnnoq7wWqiYiIyp3oEhAKD+naNhSOTlo3uFhElwCPW8TmDT60d8sIhaOIygl4pUoE\nA174G3Ovb2mn47ZTLGSNQnPYaTnjtHiJioXnChEREREREZUqSwrO//Ef/4G77roLR48enVRszqWl\npQV33HFHah/aYyIicqapBZZcRUMyRlQe17ldwuRI9NPyonlp9aQJd+1ur2x5pP18dCypqy0rjtuJ\nY0C5Zbum5ZPD6TgtZ5wW71R8fyKrOP1cISIiIiIiIkrH9ILzzp07ceeddyKZTEJVVVRUVOCss85C\nU1MT2trasH///oyvXbduHe666y7E43Hs3LmTBWciIofSJu5394wgFB5CVB6HV6pAMFCDgC/33apU\nGK+k7+3eK1WaHEn+puZFuoJQpry64YpT8Pa73Tg4OJa1DSuO28ljQNPlc03LlsPZOC1nnBavhu9P\nZDWnnitERERERERE2ZhacI7H4/j6178ORVEgCALWrFmDe+65B6eccgoAoKenJ2vB2e124+yzz0Zb\nWxv27t2LwcFB1NbWmhkyEREZTEmqiMUVtG7pnbZmYVvHcGotU49b5KS+CZSkimCgBm0dwzm3DQa8\njimu6Mmrb7Q04F+uX4qbfxSBHFMy7svs4y7VMShXVlzTnJYzTotXw/cnsppTzxUiIiIiIiKiXFxm\n7vzJJ5/EwMAABEHABz/4QTzyyCOpYrNezc3NqcdvvfWW0SESEZHJRJeQdjJf09UXQ+uWXk6omkR0\nCQj4JDTVebJu11Tngb9Rcsw46Mmru7b0YmHNLFy2JvMfq1lx3KU6BuXKimua03LGafFq+P5EVnPq\nuUJERERERESUi6kF5507d6Yet7a2oqIi/xuqly1blnr8zjvvGBIXERFZQ0mqCEfkjJP5mq6+GNq7\n5dTapmQsJaliU0tDxglu7S4+p/R/vnn1iQ/NhSvNJx4rj7vUxqBcWXlNc1rOODFevj9RMTjtXCEi\nIiIiIiLSw9Sv1NbuSF60aBFOP/30Ge3jxBNPTD3+29/+ZkhcRERkDdElIBQe0rVtKByFv1EyOaLy\nJLoEeNwiNm/wob1bRigcRVROwCtVIhjwwt/orHVK882r2z9Vj+/8UyOefXmwaMddamNQrqy8pjkt\nZ5wYL9+fqBicdq4QERERERER6WFqwXloaAiCIGDx4sUz3sfEu6IVJfP6i0REZE9ReVzndgmTIylv\n2sR189LqSYUT7Q4qp01s55tXp53iwe2fOiH17+mOe+oEv9ET/qU2BuXKymua03LGafHy/YmKxWnn\nChEREREREVEuphacKysrMTY2hvFxfZM56QwPD6ceT7zbmYiInMEr6Xur8UqVJkdCwPRJbKdOaueb\nV9mOWyss7+4ZQSg8hKg8Dq9UgWCgBgGf8XealcoYlKtiXNOcljNOiZfvT1RsTjlXiIiIiIiIiHIx\nteBcU1ODkZGRgtZe7uzsTD2eN2+eEWEREZFFlKSKYKAGbR3DObcNBrz8CknSxci8UpIqYnEFrVt6\np63l2tYxnFpL0+MWmZvEa1oJ4VgSERERERERERnHZebOtXWbDx8+jD179sxoH9u3bwcACIKAQCBg\nWGxERGQ+0SUg4JPQVOfJul1TnQf+RomT+aSLkXkluoS0xWZNV18MrVt6mZsEgNe0UsKxJCIiIiIi\nIiIyjqkF5w9/+MOpx/fff3/er3/yySfR09MDQRBwxhlnwOv1GhkeERFZQEmq2NTSkHFSX7uDVFu3\nkEgPI/JKSaoIR+SMxWZNV18M7d0yc5QA8JpWSjiWRERERERERETGMPUrtT/+8Y/jBz/4AQ4fPowd\nO3bghz/8IW666SZdr33xxRfxzW9+M/Xz9ddfb1aYRERkItElwOMWsXmDD+3dMkLhKKJyAl6pEsGA\nF/5G49fIdao5c+agspJrhephRF6JLgGh8JCu9kLhKPyNklHhkw3M9HzjNa10cCyJqFTNnj0boigW\nOwwiIiIiIiojphacZ82ahdtuuw133HEHBEHAj3/8Y7z66qtYv349zj777Gnbj42NoaOjA0888QS2\nbdsGRVEgCAJWrVqFSy65xMxQiYjIRNpkffPS6klFO+2uMTMm86cWCexeNFCSKpYtWzbpZzvHawdG\n5FVUHtfVVlRO6NrOqLyzKn+tjNeobYxQ6Plm9TXNyuuZEW056TwoxvsTEZGZlKSKFStWTPqZ1zIi\nIiIiIjKbqQVnALj88svR3d2Nhx9+GIIg4LXXXsNrr70GQRAm/cXt6tWrMTIykvpZVY9N8ixatAg/\n+MEPzA6TiIhMpE107e4Zwe4eGWMJFVWVAlYukxDwGXsH2cS2QuEhROVxeKUKBAM1hrdlBKfFa0dT\n+yef/vJK+j4KeaXsd8IaNY5W5YOV8QIwZBs7HbemkNwrRrxmt+W082Ais8eSiMhs/ExJRERERETF\nZHrBGQBuvfVWLFy4EPfddx+OHj0K4FhBWVVVCMKxX3hkWZ72ukAggPvvvx81NTVWhElERCZQkipi\ncQWtW3qnrZW7defh1BqZHrdY8CRYtrbaOoYNbcsITou31ChJFcFADdo6hnNuGwx4M07UGjWOVuWD\nVfEGGqvxjZYGjB5N5mxr9iwXvvrTvQh3j2Tcxi7HbRUr4zWiLaedB0REpYTXTiIiIiIiKjaXVQ19\n+tOfxnPPPYdrrrkGJ510EoDjRWftbmZNU1MTvv3tb+NXv/oVamtrrQqRiIhMILqEtJNfmq6+GFq3\n9Boy+WVlW0ZwWrylRnQJCPgkNNV5sm7XVOeBv1HKOA5GjaNV+WBVvKfVeVAhunS1VSG6cNop6cfB\nbsdtFaddO512HhARlRJeO4mIiIiIqNgsucNZs2jRInz1q1/FnXfeiT179mDPnj0YHh7G6OgoJEnC\nvHnz8MEPfhDz58+3MiwiIjKJklSxu2ck4+SXpqsvhvZuGc1Lq2c8EWZlW0bIK96IjOZlxY23FClJ\nFWOJJDZe24CNP08/SdtU58HGaxswOqagqsKVds1hI/LOqnywKl6XC7h0TS3CEVlXW+GIjEvW1mLr\niwNIJvOPJxennW9Ou3YW5TywwXWciMgOeO0kIiIiIiI7sLTgrBEEAU1NTWhqaipG80REZBHRJSAU\nHtK1bSgchb9RckRbRsgr3vYo/L7ixluKRJeAX4YO4ePnzMXmDT6EIzJ2tEcRlRPwSpW40O9FwCeh\nf+gotr44iM9duijtPiaOo8sFLJnvhsctIhZXsG8gniqgZss7q/LBqPMk136WzHdj3pwqPLq9X1db\nO9qjuP1T9aif78bbh+J5x5NLXuNkg/PNaddOq/JK736IiMoJr51ERERERGQHRSk4ExFR+YjK4zq3\nSziqLSM4Ld5StLc/jpt/FMFla2pxydpa3P6p+tRzA8Nj+Nn2fjy7axC+xbMz7iMqj0PyiLhsbS0u\nXVOLeXOqUs8dHh7DtlcG8btdgznH0ap8MKqdbPvxuMUZtXXC/75uJvHkbsOYcbKK066dVuRVPvvJ\n19Q12jOt2U7lgflATsPPlEREREREVGwsOBMRkam8kr63Gq9U6ai2jOC0eEuRV6qA3KPg8T8MYOuL\nt6dxPAAAIABJREFUA6if78YJbhFH4gr2T7jrNdsYLF3oxs1XnoIFNbMQjsh4dHs/ovI4vFIFgoEa\nXLduIdatqsGzLw/mjEVfzIXlg1HtZNtPLK7MqK0j//u6mcSTi1HjZBWnXTutyKt89qOXVkjc3TOC\nUHhoUk4EfBILjWWG+UBOxc+URERERERUbKYXnF9++WUcOXIEAHDuuefC7Xbrfm1nZyf6+499FePK\nlSsxd+5cU2IkIiJzKEkVwUAN2jqGc24bDHgLmsi1si0j5BWvv/jxlqKpY5BMIuPXOWfKGSWp4pqL\nFuDomIpbHoxMWz+xrWM4tQ701cGTM46jVflg1HmSaz/7BuI4PDymu60L/V4MDI9h/0D6/s8VTy55\njdOFmcfJKk67dlqVV3r3o5eSVBGLK2jdMn0Ndy0nNrU0wOMWef0tA8wHciqnfQYmIiIiIqLS5DJz\n5++++y7Wr1+PG264AT/4wQ/yKjYDQF9fH/7P//k/uOGGG/DQQw+ZFCUREZlFdAkI+CQ01XmybtdU\n54G/USpo8svKtoyQV7y+4sdbiozIGdElwF0lYuPPpxcoNF19MWz8eS9mV2UuUliVD0adJ7n2k0wC\n214Z1N1WwCfhuV2DqTvK840nl7zGaVbxi0lOu3ZalVd696OX6BLSFhc1XX0xtG7pLXo+kDWYD+RU\nTvsMTEREREREpcnUgvP27duhKMe+GvHTn/503q9ft24d5s6dC1VV8dxzzxkdHhERWUBJqtjU0pBx\nEky7Y0hJqo5qywhOi7cUFToGSlJFOCJnLFBouvpiaO+Ws46lVflgVDu59vNWXwzjSlJXW+NKEm+9\nk74PjThuI8fJKk67dlqVV0aeB07LCTIP84Gcjp8piYiIiIio2Ez9Su1XXnkl9XjdunV5v14QBASD\nQTz++OMYHBxEJBKBz+czMkQiIjKZ6BLgcYvYvMGH9m4ZoXAUUTkBr1SJYMALf6NxayJa2ZYRJsUb\nkRFqnxCv3ws/14s0XaE5I7oEhMJDutoKhaPwN0r6YjExH4w6T/TGq6ctALh7/TLTzlsjx8kqTrt2\nmpJXJh63E3OCzMN8IKdz2mdgIiIiIiIqPaYWnCORCABg4cKFqK2tndE+Vq5ciccffzy1PxaciYiO\nmzpxZNeJJC2m5qXVkyZptUKTkTFb2ZZe2cYpFe+yavh99ojXTqzI8UJzJiqP62onKif0x2JyPhh1\nnuQTr562zDxvjRwnqzjt2ml4Xpl83E7MCTIP84Gczo6fgYmIiIiIqHyYWnAeGBiAIAhYuHDhjPex\nYMGCSfsjIqLjRbfdPSMIhYcQlcfhlSoQDNQgYOO7YqfGZGaMVraVST7jJLoE9PT0oLKyEvX19bYc\nPysVI8dnmjNeSd/HKa9UaXos+TKqHT37MWqbmTJjnKzitGunlXlVCCfnBBmP+UClQnQJ6OzshCiK\nWL58edl/piQiIiIiImuYWnBOJI799XdFxcybqaw8/gt9PB4vOCYiIqdTkipicQWtW3qnrTXY1jGc\nWqPN4xY5wVREMxmn4eFhAEB9fb3l8dqJk3JcSaoIBmrQ1jGcc9tgwGvbPwYpdRwnmoo5QRMxH6jU\njI6OFjsEIiIiIiIqMy4zdz5nzhwAwNCQvvWw0hkcHEw9liSulUVEJLqEtIU4TVdfDK1bejkRWmQc\np5lzUt+JLgEBn4SmOk/W7ZrqPPA3SraIuRxxnGgq5gRNxHwgIiIiIiIiKoypBed58+ZBVVXs3bs3\ndddWvv7yl7+kHs+dO9eo0IiIHElJqghH5IyFOE1XXwzt3XJqzTayFsdp5pzYd0pSxaaWhoyFCu2O\nbDvEWs44TjQVc4ImYj4QERERERERzZypX6l91lln4c0330QymcTWrVvx+c9/Pq/XHzlyBM8880zq\nZ7/fb3SIRESOIroEhML6vjUiFI7C38hvhiiGmY7T7NmzIYqimaHZnhNzXHQJ8LhFbN7gQ3u3jFA4\niqicgFeqRDDghb/RvuuqlxOOE03FnKCJmA9EREREREREM2dqwfnv/u7v8Mtf/hIA8JOf/ATnn38+\nTj/9dN2v/8Y3voFoNApBELBixQrMnz/frFCJiBwjKo/r3C5hWJtTJ1g54ZpbvuOkJFWsWLEi9e/l\n3MfFyPFCaWPVvLR6UhFcuxOuXMfSbjhONBVzgiZyaj7wcxoREREREREVm6kF53PPPRdnnHEGOjs7\nEYvF0NLSgk2bNuFjH/tY1tcNDw/jrrvuwu9///vUv33xi180M1QiIsfwSvou3V6psuC2tAnL3T0j\nCIWHEJXH4ZUqEAzUIODjnT7Z5DtOb/XF8MzL77GPYW2OG23qWJXb2DmF6BLQ2dkJURSxfPlyjhPx\n3KVJnJIP/JxGREREREREdmFqwRkA7rrrLlxzzTUYGxvD+++/jy996Uvw+Xy4+OKLceaZZ6K2thaz\nZs2CLMvo7e3FK6+8gu3btyMej0NVVQiCgI9+9KMIBoNmh0pEZHtKUkUwUIO2juGc2wYD3oImGpWk\nilhcQeuW3mnr6bZ1DKfWMvS4RU5mTpHvOA3JCdz2cDeSyeP/Xq59bGWOU3kbHR0tdghERDPGz2lE\nRERERERkJ6YXnJubm3HvvffijjvugKIoUFUVkUgEkUgk42u0QjMArFy5Et/97nfNDpOIyBFEl4CA\nT0JTnWfa5OJETXWegte2FV1C2klMTVdfDK1berF5g6+gdkpRvuP0s+39k4rNmnLsYytznIiIyKn4\nOY2IiIiIiIjsxGVFI5deeil+8YtfYPHixQCOFZS1/0/8b+JzLpcLV199NX7xi1/A7XZbESYRkSMo\nSRWbWhrQVOdJ+7x2R4u23uBM2whH5KwFP+DYZGZ7t1xQW6VKzzh9o6UB/UNH8eyuwYz7Kcc+tiLH\niYiInIqf04iIiIiIiMhuTL/DWeP3+7F9+3Y888wzePbZZxEOhxGLTf4FWVVVLF26FOeffz6uvvpq\n1NXVmRLL2NgYurq68Ne//hW7d+/G66+/jrfffjtV7L7hhhtw44036trXP//zP+Opp57Kq/2dO3di\nwYIFecedzdjYGJ555hls27YNPT09GBwcxEknnYRTTz0VF198Ma644gpUV1cb2iYRFYfoEuBxi9i8\nwYf2bhmhcBRROQGvVIlgwAt/Y+Fr9okuAaHwkK5tQ+Eo7zRNQ884ReUEvvbIXoyMKln3VW59bEWO\nm2VqXHaNk4icjdea8sbPaURERERERGQ3lhWcAUAURVxxxRW44ooroCgKDh06hPfffx9Hjx7FiSee\niHnz5uHEE080NYann34aX//61zE2NmZqO1aKRCK49dZb8dZbb03698OHD+Pw4cN49dVX8cgjj+A7\n3/kOAoFAkaIkIiNpk8rNS6snTSJqd7AYMekclcd1bpcouK1SlWuc7n/6HRwczP1+VI59bEWOG0kr\n9uzuGUEoPISoPA6vVIFgoAYBn30L5ETkLLzWkIaf04iIiIiIiMhOLC04TySKIhYvXpz6mm2rDA8P\nm1ZsPuecc7B06dKc23k86b8idCYOHjyIlpYWvPfeewCOfRX5mjVrcMopp2BgYAAvvfQSEokEDhw4\ngPXr1+PXv/41mpqaDGufiIpr6qSykZPMXknfW4RXqjSszVKVaZzcVfpWtijnPjYzx42iJFXE4kra\ntTTbOoZTXwHucYu2jJ+InIHXGpqIn9OIiIiIiIjITopWcC62hQsXorm5GStXrsTKlSvxne98B+3t\n7QXt8/LLL8eVV15pUIT63Hrrralic11dHX7yk5+gsbEx9fyhQ4ewYcMGvPHGG4jFYrjxxhuxbds2\nVFZy4oGIMlOSKoKBGrR1DOfcNhjw8o6qGWAflw7RJaQtAGm6+mJo3dKLzRt8FkdGRKWE1xrS8DME\nERERERER2Y2+W6tKyMUXX4z//u//xh/+8Af88Ic/xPr167Fq1SpHFmBfeOGFVJG8qqoKDz300KRi\nMwAsWLAADz/8MObMmQMA2L9/P5544gnLYyUiZxFdAgI+CU112b+RoanOA3+jxEnMGWAflwYlqSIc\nkTMWgDRdfTG0d8uprwQnIsoHrzU0ET9DEBERERERkd2YXnB+4IEHcO+99+K+++7D6OhoXq/dvn07\n7r33Xtx777144403DIlnwYIFmDdvniH7KrbHHnss9fjKK6/EsmXL0m43d+5crF+/PvXzr3/9a9Nj\nIyLnU5IqNrU0ZJzM1L66k5PaM8c+dj7RJSAUHtK1bSgc5aS/jcyZM6dkPhNS6SuFa83s2bNRXV1d\n7DBKBj9DEBERUTniZ0oiIvsy9Su133zzTTzwwAMQBAHnn38+Zs+endfrFy5ciJ/97GcQBAHvvvsu\nvv/975sUqfOMjIzg5ZdfTv2c66u8r7jiCnz3u98FALz11lvYt28flixZYmqMRORsokuAxy1i8wYf\n2rtlhMJRROUEvFIlggEv/I1S3l/ROHX7cv+KRzP62Cocy+Oi8rjO7RK692lU/1o1Tk6Md+If6pVz\n/pqB1wdzmHGtsYqSVLFixYpJP9s5J5yQw07+DEFEREQ0E077TElEVG5MLTjv2LEj9fiqq67K+/XN\nzc3w+XyIRCLYuXMnEomEI7/62gzt7e1IJI5NJnk8HpxxxhlZt58/fz5OPfVUvP322wCAXbt2seBM\nRDlpH9ybl1bD3yil/l27W0bvB3vtl4DdPSMIhYcQlcfhlSoQDNQg4CvvCVGj+tgqHMvpvJK+j1Ne\nKfdnGKP616pxKtd4KT32r7mMvNZYxWk54bR4nfYZgoiIiGgmnPYZjYioXJlacP7LX/4CABBFER/+\n8IdntI+PfOQjiEQiiMfj6OzsxMqVK40M0VAHDhzA1q1b8c4772BsbAxz5szBkiVLsHr1asydO9fQ\ntnp6elKPly9fjoqK3EN5xhlnpArOE19PRJTL1A/u+d7VHIsraN3SO23tybaO4dRXPnrcYln/giC6\nBHR2dkIURSxfvtyWfcGxnE5JqggGatDWMZxz22DAm/UXYaP616pxKtd4KT32r7mMvNZYxWk54bR4\nJyrkcxoRERGRnTn5MxoRUbkxdQ3nvXv3QhAELFmyBG63e0b7mPg1GXv37jUqNFM88MAD+PrXv46H\nHnoIjz76KDZv3owvfelLOO+883DjjTeiu7vbsLa0wjFw7KvH9ViwYEHqcW9vr2GxEBFlI7qEtL8Y\naLr6Ymjd0stfDACMjo5iZGSk2GFkxLGcTnQJCPikjGtoaprqPPA3Sln7xqj+tWqcyjVeSo/9ay4j\nrzVWcVpOOC1eIiIionLAz2hERM5hasF5ePjYX+DX1tbOeB8T7wweGhoqOKZiUFUVv//973HVVVdh\n27ZthuxT61tAf//Omzcv9fj99983JA4iomyUpIpwRM74i4Gmqy+G9m459RWQZD95jWWkvMZSSarY\n1NKQsRCk/cV1tj4x6lyx6pwzKh+cFi+lx2u9NYy41ljFaTnhtHiJiIiIygE/oxEROYupX6mtURTF\nkNcWsh+zCIKA5uZmXHTRRVi9ejUaGhpQXV2NI0eOIBKJYNu2bXjiiScwNjaG0dFR3HHHHaipqcHZ\nZ59dULux2PE3Wr13j8+aNSvt680wMjKS+kp1cj6OpfPNnj0boihCURSMjo5a1uaKFSsQCuv7Y6FQ\nOAp/o4TOzk7DYsx13MXoFz3sds7NmTMHy5Yt0z+W7VH4fRJ6enom/YFUqZo1axaWNfqweYMP7REZ\nofYoonICXqkSQb8Xfp+E0fhRvNnZhaNHj057vVHnilXnnFH5kC5elwtYMt8Nj1tELK5g30AcyaQ9\n4qX07HCtLxeFXmus4rScsOpaRFQMdvtMmYldP5MT5csp5xyREzjtMyVRqeN7HOlhasHZ6/Xi0KFD\nOHTo0Iz3MfG1J510khFhGeqOO+6A1+ud9u8nnXQSVq1ahVWrVuEf/uEf8LnPfQ6Dg4NIJBJobW3F\ntm3bdK27nMnESaTKykpdr6mqqko9jsfjM26biJxBFEXMmzcPtXPnwT1rwvl/dAyD7x3G4cOHTf1D\nHlEUAQBReVzX9lE5Mel1hbSb7biHhoZQU1NTtH5xIu19Jt+x1Pv+5HRHjx7Fnq43MW/ePJxeNw9+\nX33quXh8DAcOHMiaV0adK1adc0blw8R4JY+Iy9bW4tI1tZg35/h5eXh4DNteGcTvdg0WPV5Kr1jX\n+nJU6LXGKk7LCauuRUQ0WbF/VyEiIntz2mdKIiIyueC8ePFiHDp0CAcPHsT+/ftRX1+f+0VT/OlP\nf0o91rtWsZXSFZunOuOMM/C9730P1113HQBg3759+K//+i9ccsklM2534t3KiURC12vGxsZSj2e6\nprZe1dXVWL58ualtkPm0v1w666yzihwJzYSSVCG6BIQjMkLhfkTlcXilCgQDNQj4FmPBwkWWrHHj\nlfS91XilY8WdQq8deo+72P2Sjt3PuXzHsr6+fkbv/aXE7a7C4sWLsXjx4pzbGnWuWHXOGZUPSxe6\ncfOVp2BBzSyEIzIe3T75vLxu3UKsW1WDZ18etEW8lJ7V13qaLJ9rjVWclhNWXYuIrGD3z5SAfX5X\nITKCE845Iqdy2mdKolLD97jys2fPHoyMjMzotaYWnNeuXZtKyIceegh33313Xq/v6+vD888/D+DY\nXyetWrXK8BitcvbZZ2P16tV49dVXAQB//OMfCyo4ezzH127Te7fyxLuiJ76eiEqPklQRiyto3dI7\nba2bto7h1DqPHrdo6kSOklQRDNSgrSP319IGA97UxFMh7ek57qOJJO57fB/kmJL2ebP7xYnyGkt/\n4WNZbow6V6w654zKByWp4pqLFuDomIpbHoxkPG83XtuAq4MnFz1eSs/qaz3Zn9NywqprEREdY5ff\nVYiIyN6c9pmSiKjcuczc+cUXXwxBOHaRf/LJJ/HUU0/pfu3IyAhuuukmJBIJCIKA888/3/FF0onr\nNu/du7egfU38evHBwUFdr3nvvffSvp6ISo/oEtJO4Gi6+mJo3dJr+gdx0SUg4JPQVJf9+t1U54G/\nUSo4Hr3HPfekKly2pjbj8/wFZbq8xtJX+FiWG6POFavOOaPyQXQJcFeJ2Pjz7Oftxp/3YnbVzCed\nmb/msvpaT/bntJyw6lpERMfY5XcVIiKyN6d9piQiKnemFpxPO+00XHTRRVBVFaqq4s4778Q3v/nN\nSYXPdHbu3IlPfvKT6OrqAgAIgoCbbrrJzFAtMW/evNTjaDRa0L4aGhpSj/v7+3W9ZuJ2E19PRKVF\nSaoIR+SMEziarr4Y2rtlKEnV9Hg2tTRk/AVBu4Oh0DjyOe5wRMYla2vhSvMuaFW/OJFVY1mujOhf\nJali9KiCjddm38/GaxswOqYUNFZGxWvV9Yr5ay72L03lpJyw22cnolLG842IiPLhpM+URETlztSv\n1AaAu+66C6+//jreffddqKqKxx57DFu3bsVZZ52FM888E7W1taiqqsLIyAh6e3vxyiuvoL+/H6qq\nQhAECIKAG264AaeffrrZoZpudHQ09bjQu7WXLVuWerxnzx4oigJRFLO+prOzM+3riai0iC4BofCQ\nrm1D4Sj8jZLp8XjcIjZv8KG9W0YoHEVUTsArVSIY8MLfKBnytUf5HPeO9ihu/1Q96ue78fah6csS\nWNEvTjRpLCMyQu0TxtLvhd9nzFiWKyPOFdEl4JehQ/j4OXOxeYMP4YiMHRPG6UK/FwGfhP6ho9j6\n4iA+d+kiY+KNyNi9dwRjiSSqKl1YubRaVz5Yeb0yIl7KzKprPTmHk3LCbp+diEoZzzciIsqHkz5T\nEhGVO9MLzrW1tXjooYfwxS9+EQcPHgQAJBIJ7Nq1C7t27Zq2vaqqkx5/9rOfxYYNG8wO0xJvvvlm\n6vHEu51nwu/3o7KyEolEArFYDG+88Qaam5szbn/48GH09vamfl67dm1B7RORvUXlcZ3bJUyO5Bjt\ng3/z0upJk0baX6Aa9YtBvsd9gjv9H+pY1S9OlBrLZccKdBqjx7JcGXGu7O2P4+YfRXDZmlpcsrYW\nt3+qPvXcwPAYfra9H8/uGoRv8Wzj4i0gH6y8XjF/zWXVtZ6cw0k5YbfPTkSljOcbERHlw0mfKYmI\nypnpBWcAWL58OZ588kncc889+N3vfgdFUVKFZW2N54mFZgCor6/H7bffjosuusiKEE33/vvvY8eO\nHamfV61aVdD+qqurcfbZZ+OPf/wjAOCpp57KWnB++umnU499Ph+WLFlSUPtEZG9eSd/l3StVmhzJ\nZFN/CTD6l4J8j/tIXMn6PE2n/eXw7p4R7O6RMZZQUVUpYOUyCQHeIWqYQs4Vr1QBuUfB438YwNYX\nB1A/3/3/s3f3wZFc9f3vPzO9EtqxetFo2bWNrbW1q8mKBdaZsbGvk+Ka4CHXxg4mATu3sM1PhsJJ\nbUzAqaICARRf8RAgSW1CCl8XDkZA/iBU8RxsXAwRDhX7B9gjCbhrrSVZsILY3geNTGtnZUk9c/9Y\nZrx6GGlG6p7p0/N+VblqR33c8z19zunuOd/pOTqvzdLpeVfHjs+rUCiV23o/P7c/ZLIzyjlLitvb\nlE51Vt0f6nm+8iJebMzvcz3MY0UjOnLkiCzL0v79+wPZJ4J67wSEEeMNALAZJtxTAkAzq0vCWZI6\nOjr0qU99Sn/5l3+pBx98UD/5yU80OTmp559/Xi+88IJe+tKXateuXfrd3/1dvfa1r9Uf/MEfKLrW\n4poBcvr0aZ133nkblisUCurv75fjOJKklpYWXX/99Vt+/7e97W3lhPNXv/pV3X777dq7d++qcjMz\nM/rc5z637P8DEF5uoah0qlNDI7Mblk2n4qFJsNRS72uTcR2fXdCx46t/TlsK13HxklsoKj/vqn9w\natW6e1955ER57aRYm8Wxa5CV46BQ0Jo/Gy9tvZ+v1x+GRmar6g/1PF95ES+AzTt3eaGgadZ7J6AR\nGG8AgK0I8j0lADS7umd0L774Yt155526//779Z//+Z964okn9POf/1z//d//rW984xu65557dO21\n1wY+2SxJH/vYx/Te975Xjz76qFx37afknn76ab3rXe/Sd7/73fLf3va2t6mrq6vifm+//Xbt379f\n+/fv1/vf//6K5V7/+tcrmUxKkl544QX92Z/9mSYnJ5eVee6553TnnXcql8tJOvvk+M0331x1HQGY\nx4pGlErY6u1af6343q6Ykj12aCZwaql3KmHroR+dKj/puXJ7mI6Ll6xoZM1kXcnYdF79g1Mcuwaq\n5/j3oj+YFi+AcGrWeyegERhvAAAAQDjV7QnnILnppptW/e3YsWPlf3/5y19WJpNZtn337t26//77\nl/2tUCjooYce0kMPPaTzzjtPr3jFK3ThhRcqFospn89rYmJCY2Njy34u/Pd///f1vve9z7O6/OM/\n/qNuueUWnTx5UseOHdONN96oq666ShdddJFOnDihRx99VIuLZ9c9isVi+vSnP62WFn6WCgg7t1DU\nQF93xeRK6Um+sD0xUG29Tz6/oP/40amK28N2XLzgFooanZyrmKwrGZvOa3jC0cG97RzDBqnH+Pey\nP5gWL4BwatZ7J6ARGG8AAABA+DRlwnlsbGzd7SdPntTJkyeX/a30c9iVnD59Wo8//njF7a2trXrH\nO96hd7/73dq2zbvDftFFF2lwcFB/9Vd/paeeekqFQkGPPfbYmuX+/u//Xq94xSs8e28AwWVFI4q1\nWTp8KKHhCUejk3NaWCyotSWqy/a1K9kTzrVKV9Y7k80p5ywqbrconYqX623Htulv3nZJxe1hOy5e\nsKIRZbIzVZXNZHNK9tg+R4RKqh0HW31a2Kv+YFq8AMKpHuciAGcx3gAAAIDwacqEs1f+5m/+Rtdf\nf72y2ax+9rOf6dlnn9Xs7Kx+85vfqKWlRR0dHdq/f79e85rX6M1vfrN27tzpSxyJREJf/epX9a1v\nfUvf+c53NDk5qZmZGXV0dOiSSy7Rddddpz/+4z9We3u7L+8PIJhKEzQH97YvS564heKy7SZaOQF1\n7utq623acVmvzvWSc5aqLLfocyTYSD36uZf9wbR4UR9BOO+huZh6jwCYiPEGAAAAhEtdE85zc3P6\n4Q9/qJ/+9Kd67rnn9Jvf/EYLCwtV/b+RSERf+MIXPInj6NGjnuxnx44duuaaa3TNNdd4sr+SL33p\nSzX/P62trXrrW9+qt771rZ7GAsBcpYn50ck5ZbIzyjlLitvblE51KpUw86mBWuq0sm61vg6KILVj\n3K7utiFus3RDUPjZz73sD+f289FJRwuLRbW2RHTZPtuzfk7/NUeQzntoTqbcIwBhwHgDAAAAwqEu\nCeeFhQUdPnxY//7v/64zZ87U/P8Xi0VFInzoAIBquYWi8vPumuuiDY3MltdFi7VZxkzqhLFOGwlS\nnd1CUelUp4ZGZjcsm07FSQiFnJf9Yb1+/pVHTnjSz+m/5gjSeQ8AAAAAAADVifr9BnNzc/rTP/1T\nDQ4OKp/Pq1gsrvvfudb6GwBgY1Y0suZkfcnYdF79g1NGTdaHsU4bCVKdrWhEqYSt3q7YuuV6u2JK\n9tihages5mV/qEc/p/+aI0jnPQAAAAAAAFTH94TzBz7wAT355JPlxHEymdQdd9yhPXv2SDr7U9l3\n3XWX7rjjDl133XXavXt3OdEciUR044036q677tJf/MVf+B0qAISCWygqO+5UnKwvGZvOa3jCKa+T\nFmRhrNNGglhnt1DUQF93xaRd6cnDMBx/bMyL/lDPfk7/Db4gnvcAAAAAAACwMV9/UvtnP/uZvve9\n7ykSiciyLH3qU5/SG9/4RknS+Pi4jh07Jkm66667lv1/jzzyiD7xiU9oampKjzzyiG666Sa99rWv\n9TNUAAgNKxpRJjtTVdlMNqdkj+1zRFsXxjptJIh1tqIRxdosHT6U0PCEo0w2p5yzqLjdonQqrmQP\na6s2Ey/6Qz37Of03+IJ43gMAAAAAAMDGfE04f/vb3y7/+53vfGc52byRa665RldddZXuvPP0AVAA\nAAAgAElEQVRO/fjHP9Z73/teff3rXy8/FQ0AWF/OWaqy3KLPkXgnjHXaSBDrXErGHdzbvizZU3rS\nkGRdc/GiP9Szn9N/gy+I5z0AAAAAAACsz9ef1M5ms5LO/mz229/+9pr+37a2Nn36059WR0eH8vm8\nPvKRj/gRIgCEUtyu7vtEcbvF50i8E8Y6bSTIdV6ZmCNR19y20h8a0c+taERHjhzR0aNHy68RDEE+\n7wEAAAAAAGBtviacn3nmGUUiEe3Zs0c7d+6sWG5xce0nFDo6OvSWt7xFxWJRjz32mE6dOuVXqAAQ\nGm6hqHSqs6qy6VTciDUww1injTRjndF8GtnPz5w5o7m5Oc/2h63jvAcAAAAAAGAmXxPOzz//vCRp\n165dq7a1traW/z0/P19xH1dccYUkyXVdPfHEEx5HCADhY0UjSiVs9XbF1i3X2xVTssc24sm+MNZp\nI81YZzQf+jnORX8AAAAAAAAwk68J55aWsz91Z1nWqm3t7e3lfz/33HMV97Fjx47yv0+cOOFhdAAQ\nXm6hqIG+7oqT9r1dMQ30dRv1dFgY67SRZqwzmg/9HOeiPwAAAAAAAJinukXSNikej+uZZ56R4zir\ntu3evbv87/HxcfX09Ky5j3N/Rvv06dPeBwkAIWRFI4q1WTp8KKHhCUeZbE45Z1Fxu0XpVFzJHltu\noWjU02FhrNNKu3fvXvYLIM1QZ4B+jnPRHwBg61beUwIAAACA33xNOF966aX6n//5Hx07dmzVtt7e\n3vK/f/CDH+j6669fcx9DQ0Plf3d0dHgfJACEVGky/uDediV77PLfS0+FmThZH8Y6lbiForq6upa9\ntqIRz+u8MlFD4sZbXh3foO3Hb7X0c1Pq5KVmq3OYz/VAkDXbucZE1bRRpXtKAAAAAPCTrwnnV73q\nVXr00Uc1Nzen6enpZR96fu/3fk/btm2T67p68MEHdfPNN5fXay75wQ9+oG9+85vL9gcAqM3KCaYw\nTDiFqU6lScDRyTllsjPKOUuK29uUTnUqlbCXbR+ddLSwWFRrS0SX7bOXbffqfbA5Xh3foO2nXqrp\n55KMqpMXTGtHr3h13gNQnWY915ikmjaSmu86CQAAACA4fE04X3XVVfrsZz8rSXrkkUd02223lbd1\ndnbq2muv1cMPP6zFxUXdcccduvHGG/XqV79akvT444/r4YcfVqFQUCQSUSKR0IEDB/wMFwCAunIL\nReXnXfUPTmlsOr9s29DIbHmt0thLLH3+4Wc08esz5e1feeTEi9vbrHUnEKt+nw32g7V5dXyDtp96\nWS/ec/v59pdE9cHPPa3sxNyyMkGskxdMa0evVNsfwlZvoFGa9VxjkmrbqNmukwAAAACCJernzq+8\n8kq99KUvVbFY1Ne+9rVV2//6r/9aO3bsUCQS0eLior7xjW/oIx/5iD7ykY/ooYcekuu6kiTLstTf\n3+9nqAAA1J0Vjaw5eVgyNp1X/+CULCuiD/zfl1TevsHEYdXvwwTkpnh1fIO2n3qpNt5tVlS/c3Fs\n3TJBqZMXTGtHrzRrvYFGYcwFH9dJAAAAACbwNeHc0tKiT37yk/rwhz+st7zlLTpz5syy7S9/+cv1\nr//6r9q9e7ckqVgsLvtPkmKxmA4fPrzq57YBADCZWygqO+5UnDwsGZvOa3jc0fmdrWptrbB9win/\nlOJW36fSfrA2r45vTfvxqr3X2U+91BJvdtzR9VftVLTC3WtQ6uQF09rRK81ab6BRGHPB5/l1kns9\nAAAAAD7xNeEsSa973et066236tZbb9X27dtXbT948KC++93v6kMf+pBe97rXKZFIqLu7W1dddZXe\n8573KJPJ6A1veIPfYQIAUFdWNKJMdqaqspnhnKxoRDdc+bK1t2dzFZ9Y2cz7oHpeHd+a9uNVe6+z\nn3qpJd7vD+e0u6NVe3a3VSwThDp5YeVxiUal7gva9MpLz1P3BW3LkglhqbNkXv8FTMeYCz7Pr5Pc\n6wEAAADwia9rOFdr+/btuu2225at8QwAMItbKC6bwFr5GqvlnKUqyy1Kkl62o2Xd7V69TzVo7xd5\ndXyDtp96qTXe89qsDcuEQc5Zkh2zdMNVO/XGK3dqV8eLP3FwYnZBD/74lL7zo1OhqrNkXv8FTMeY\nCz6ukwAAAABMEIiEMwDAXKVE4+jknDLZGeWcJcXtbUqnOpVK2E2diNxI3K7uMhy3zyaaT/5m7UnC\n0nav3mc9tPdqXh3foO2nXmqN9/S8u2GZMNh7YZve8ycX64LOlyg77ujzDz+zbLz9rz+8UH94Raf+\n43+fanSonjKt/wKmY8wFH9dJAAAAACYg4QwA2DS3UFR+3lX/4NSqteWGRmbV2xXTQF+3Ym1W0yUh\nN+IWikqnOjU0Mrth2XQqLrdQ1Hd+fHLd7Wsd45reJ1l5P6V90d7LeXV8N9Mf/NxPvdQS77XJuI7P\nLujY8fmKZYJQJy+4haJuf8MFemGhqLvvHa843u55e7duS58fijpL5vVfwHSMueDz/Dq5wb0eAAAA\nAGyW72s4AwDCy4pG1kw+loxN59U/OMWk1hqsaESphK3erti65Xq7Ykr22Dp9xtXCQuXt663pW/X7\nJCrvp7Qv2ns5r45vrf3B7/3USy3xphK2HvrRKRUKlcsEoU5esKIRtbVauueL64+3e744pe2t4fmC\nh2n9FzAdYy74PL9ObnCvBwAAAACbRcIZALApbqGo7LhTMRlSMjad1/CEI7dQrFNkZnALRZ15wdU9\nb++uOIlYeoLxzIKrJbeoaHT19oG+7g2PrVsoaqBv/ffZaD+0d2VeHF+v9lNrvwpCO1Vb7yW3oKd+\ntXb/q/YYm6KZx5tX4wlAdRhzwcd1EgAAAIAJ+EltAMCmWNGIMtmZqspmsjkle2yfIzKLFY3o3zLP\n6sarX6bDhxLKjjv6/nBOOWdRcbtF1ybjSiVsPTPzgr7yX6f0rje+XDf/n7v11K/yitstSqfiSvZU\nt2ayFY0o1mbp8KGEhscdZc55n3QyrmQVay/T3pV5cXxX7WfCUSZ7zn6qbO/N9KtGq/b4SdLH3rlv\n08fGJM083rwYBwCqZ/KYWxlXUOPcqmrbSPrtdXIL9yIAAAAAsFkknAEAm5Zzlqost+hzJGZ6+pl5\nvecz47rhyp26/qqdet8te8rbjs8u6AsPP6P/+NEpJS7aLknq+78uLG8vTSxWO3FYKndwX7uSiReT\nU7Xsh/auzIvju2w/e9uXJRFr2U+t/SoIajl+Wzk2Jmnm8ebFOABQPdPGXClxOjo5p0x2RjlnSXF7\nm9KpTqVCmlitpY22ei8CAAAAAJtBwhkAsGlxu7rLSNxu8TkSM8XtbXImXX35B8f1lf86rj2723Re\nm6XT866OHZ8vr8G31vHb7KThyv+vlv3Q3hvbyvH1aj9b6VeNVk29vTrGQcd4a562BoLChDHnForK\nz7vqH1y9xv3QyGz5p6NjbeFZ3/5c1V4np6en1draqvPPPz+UxwEAAABA8LCGMwBgU9xCUelUZ1Vl\n06k4a8atsPL4FQrSL56d1//3i9P6xbMvJgWlYBw/2tsMpvUrrI3xBgBrs6KRNZPNJWPTefUPTjV9\nkvX48eP61a9+1egwAAAAADQREs4AgE2xohGlErZ6u2LrluvtiinZYzf9xN9Kph0/0+JtVrRTONCO\nALCaWygqO+5UTDaXjE3nNTzh8GUcAAAAAKgjEs4AgE1zC0UN9HVXTIqUftaQCb+1mXb8TIu3WdFO\n4UA7AsByVjSiTHamqrKZbI4v4wAAAABAHbGGMwBg06xoRLE2S4cPJTQ84SiTzSnnLCputyidiivZ\nY8stFBsy4bfyfRsVx3qxBPn4rcW0eJtVI9opSOMtLBhvALBazlmqstyiz5EAAAAAAM5FwhkAsCWl\nZMfBve1K9tjlv5eeuqt3MqSUgBmdnFMmO6Ocs6S4vU3pVKdSifomaGqJJSjHbyOmxdus6tVOQRpv\nYcR4A4Dl4nZ1Uxhxu8XnSAAAAAAA5yLhDADwxMrER6Oeas7Pu+ofnFq1vt/QyGz5J2hjbZbv8dUa\nixWN6MiRI7IsS/v37w98IikI7Y2N+dlOQRpvYcd4A4Cz1510qlNDI7Mblk2n4nzpCQAAAADqiDWc\nAQChYUUjaya/Ssam8+ofnKrL5ONmYjlz5ozm5uZ8jw3wQpDGGwAg/KxoRKmEXXFt+5LerpiSPTbX\nHwAAAACoIxLOAIBQcAtFZcedismvkrHpvIYnnPJP0oY9FsAP9HEAQCO4haIG+rorJp1Lv67BdQcA\nAAAA6ouf1AYAhIIVjSiTnamqbCabW7YeaphjAfxAHwcANIIVjSjWZunwoYSGJxxlsjnlnEXF7Ral\nU3Ele2x+ShsAAAAAGoCEMwAgNHLOUpXlFn2OJFixnGvlJCyTstisoPZxAEC4le5bDu5tX/aFptJT\nzdzXAAAAAED9kXAGAIRG3K7usha3W3yOJFixSC8mlkcn55TJzijnLClub1M61alUgqeBULug9XEA\nQHNZed/CfQwAAAAANA4JZwBAKLiFotKpTg2NzG5YNp2K+5pgDVIspXjy8676B6dWrbk7NDJbXu8w\n1mYxWYuqBK2PAwAAAAAAAGicaKMDAADAC1Y0olTCVm9XbN1yvV0xJXtsX5NfQYqlFM9ayeaSsem8\n+genSAiiakHr4wAAAAAAAAAah4QzACA03EJRA33dFZNgpSd5S2v8NUMsbqGo7LhTMdlcMjad1/CE\nU5djg3AISh8HAAAAAAAA0Fj8pDYAIDSsaESxNkuHDyU0POEok80p5ywqbrconYor2VO/tYo3E8v2\n7dtlWZbncWSyM1WVzWRzSvbYnr4/witI4w0AALxo9+7dam1tbXQYAAAAAJoICWcAQKiUklsH97Yv\nS56WnrIsbV+ZCPMjMVZtLKW/HThwwJd4cs5SleUWPXk/U9WjT3gZSxDiraWPo/Hq1WeC0DeBraAP\n+8u042tivF1dXcteBzleAACAzTLtPg0IOxLOAIBQKd1cjk7OaXTS0cJiUa0tEV22z1YqYS/bnsnO\nKOcsKW5vUzrVuWy7l1bub62bYT/jidvVXe7jdsuW3sdUjegTW4lFUiDjXW+8obHq1ceDNJaAzaAP\n+8u040u8AAAAwcR9DxBMJJwBAKHhForKz7vqH5xatWbxQz+Z0f/7l/vV2hJZc/vQyGx5zdlYm1WX\nG9P14vUqHrdQVDrVqaGR2Q3LplPxprspr0cbeBVLqqdd/09ft868UAh8vF955ETdxxPWVq8+HqSx\nBGwGfdhfph1f4gUAAAgm7nuA4Io2OgAAALxiRddOJkvSDVft1M6XtlTcLklj03n1D07V7YZ0vXi9\niseKRpRK2Ortiq1brrcrpmSP3XQ34/VoA69i+Z2umLZZUWPirfd4wtrq1U70B5iOPuwv044v8QIA\nAAQT9z1AcJFwBgCEglsoKjvurHnDGY1Kb7xyZ8Xt5xqbzmt4win/dLFf1ovX63jcQlEDfd0Vk86l\nb3/6XeegqWcbbDWWoPXhIB07VFavdqI/wHT0YX+ZdnxDHe944+MFAADYLNPu04BmQ8IZABAKVjSi\nTHZmzW2X7G7Tro7WittXymRzvn8Tcr14vY7HikYUa7N0+FBCH3/nXr0+GVeyp12vT8b18Xfu1eFD\niab8qaF6tsFWYwlaHw7SsUNl9Won+gNMRx/2l2nHN9TxDjc+XgAAgM0y7T4NaDas4QwACI2cs7Tm\n32Nt1rrbV+9n0bOY1n+f+sVTusk+uLddyR67/PfStz2b9SY8SH1ivViC2IerjWV+wZWkVeuDN9t6\n4Y1Srz4TpL7ZDBhP3qMP+8u040u8AAAAwcR9DxBcJJwBAKERt9e+rOXn3XW3r95Pi2cxrf8+9Y9n\nZUKi2RMUQeoT68USxD5cTSwv39mqd7/5YknS6OScMtkZ5Zwlxe1tSqc6lUrYJMp8Vq8+E6S+GWal\n8cJ48h592F+mHV/iBQAACCbue4Dg4ie1AQCh4BaKSqc619z2y+PzOjG7UHH7SulUvC5rOAcpnmYU\npDbYKJag9eFqjp0ds/Sxd+xVNBrR3feO64MPPK2hkVmNTM5paGRWH3zgad1977jy8y792yf16uNB\nGkth5haKys+7jCcf0If9ZdrxDXW8ycbHCwAAsFmm3acBzYaEMwAgFKxoRKmErd6u2KpthYL04I9P\nVdx+rt6umJI9dl3WcA5SPM0oSG2wUSxB68PVHLsbrtqpCzpfor8dnNLYdH7NMmPTefUPTtG/fVKv\nPh6ksRRmVjSifsaTL+jD/jLt+IY63kTj4wUAANgs0+7TgGZDwhkAEBpuoaiBvu41bzy/86NTOvn8\nQsXt0tkb0oG+7rp9A3K9eBsRTzMKUhtsFMtT03ktuQUj4o1GpTdd/TJlx52KybGSsem8hicc+rlP\n6tXHgzSWwsgtFBlPPqMP+8u040u8AAAAwcR9DxBckWKxyMiDZ44ePaq5uTm1t7dr//79jQ4HW/TE\nE09Iki6//PIGRwJUr7R+5fCEo0w2p5yzqLjdonQqrmSPXfX2oMUL/wSpDaqJRVLg4/2j/2Onevec\np0/9+y81NDK74X5en4zrfbfsqUPEL2qma1y9+niQxlIYnTueolHpkt1tirVZys+7+uXxeRUKZ8s1\nYjxVw4QxRx/2l2nH19h4xx1lhs+JNxlXkjXeAV+ZcI0DwoLxBsm8+zSTMeaaz1ZyfNWtsA4AgAdW\n3vD5cQNY2t/Bve1K9tjL3quW7fUStHiaUZDaoJZYTIg35yxVtZ+cs+h9cCirVx8P0lgKo5yzJDtm\n6YarduqNV+7Uro7W8rYTswt68Men9J0fnWI8bQF92F+mHV9j493XrmQi+PECAABslmn3aUCzIOEM\nAPBdKbE8OjmnTHZGOWdJcXub0qlOpXx64mLl/mp9XW9WNKIjR47Isizt37+/4fE0oyD1iWpiMSHe\nuF3drWbcbvE8JqxWrz4TpL4ZJnsvbNN7/uRiXdD5EmXHHX3+4WeWXU//1x9eqD+8olP/8b9PNTpU\n49GH/WXa8TUx3unpabW2tur8888PfLwAAACbZdp9GhB2JJwBAL5yC0Xl5131D06tWntyaGS2vLZK\nrM1q+hvDM2fONDoEwDNuoah0qrOqn9ROp+L85BWwDrdQ1O1vuEAvLBR1973jFa+n97y9W7elz2c8\nAU3u+PHjkqTzzz+/wZEAAAAAaBbRRgcAAAg3KxpZM9lcMjadV//gFBPjQMhY0YhSCVu9XbF1y/V2\nxZTssTkHAOuwohG1tVq654vrX0/v+eKUtrfyBS4AAAAAAFBfJJwBAL5xC0Vlx52Kk+MlY9N5DU84\n5bVWAISDWyhqoK+7YtK59AsHjH1gfVxPAQAAAABAkPGT2gAA31jRiDLZmarKZrI5JXtsnyMCUE9W\nNKJYm6XDhxIannCUyeaUcxYVt1uUTsWV7PFnDXcgbLieAgAAAACAICPhDADwVc5ZqrLcos+RAGiE\nUjL54N72ZUmw0hOYJJuB6nA9RVis/KJR0L94ZFq8AAAAANAIJJwBAL6K29VdauJ2i8+RAGiklZPz\nTNYDteF6CtOVErWjk3PKZGeUc5YUt7cpnepUKhG8X7wwLV4AAAAAaCQSzgAA37iFotKpTg2NzG5Y\nNp2KM3EHAMAauJ7CdG6hqPy8q/7BqVVrkQ+NzKq3K6aBvm7F2qxA9F3T4gUAAACARos2OgAAQHhZ\n0YhSCVu9XbF1y/V2xZTssZmwAwBgDVxPYTorGlkzeVsyNp1X/+BUYPquafECAAAAQKORcAYA+Mot\nFDXQ111xkrz0hEhpPVcAALAa11OYyi0UlR13KiZvS8am8xqecBreh02LFwAAAACCgJ/UBgD4yopG\nFGuzdPhQQsMTjjLZnHLOouJ2i9KpuJI9rIEHAMBGTL+ebt++XZZlNToMNIAVjSiTnamqbCabU7LH\n9jmi9ZkWLwAAAAAEAQlnAIDvSpPfB/e2L5uUKz0REtTJ8ZUT90GeyAcAhJ/J19MDBw4sex3UWOGP\nnLNUZblFnyOpjmnxAgAAAECjkXAGANTNysnloE42lybCRyfnlMnOKOcsKW5vUzrVqVQi2E+QAQDC\nj+spTBO3q5t6iNstPkdSHdPiBQAAAIBGI+EMAMA53EJR+XlX/YNTq9buGxqZLa+RGWuzmCQHAKAC\nrqcocQtFpVOdGhqZ3bBsOhVv+BcRTIsXAAAAAIIg2ugAAAAIEisaWXNyvGRsOq/+wSkmFgEAWAfX\nU5RY0YhSCVu9XbF1y/V2xZTssRveJ0yLFwAAAACCgIQzAAC/5RaKyo47FSfHS8am8xqecMprZgIA\ngBdxPcVKbqGogb7uiknc0hPvQekLpsW7UkdHh3bt2tXoMAAAAAA0EX5SGwCA37KiEWWyM1WVzWRz\nSvbYPkeEZrXy5znD8HOd1dQpjPVuRia2o4kxb5WfdeZ6ipWsaESxNkuHDyU0POEok80p5ywqbrco\nnYor2ROsNb0bFa8X49ItFLVv374t7aOW9/IiXtPOvybGDABANbjGAdgKEs4AAJwj5yxVWW7R50jQ\njEof5kYn55TJzijnLClub1M61alUIliT8dWqpk6SQlfvZmRi/zUx5q2qV525nmKlUr86uLd92ZcM\nzr0OBEk94/ViXNbzfGZavF4xMWYAAKrBNQ6AF0g4AwBwjrhd3aUxbrf4HAmajVsoKj/vrrnm6dDI\nbPnnO2NtljEf9Kqt0/aXRPXBzz2t7MRcxTIm1bsZmdh/TYx5q+pZZ66nqGRl3wr6+PI7Xi/GZT3H\ntmnxesXEmAEAqAbXOABeYQ1nAAB+yy0UlU51VlU2nYoHdt0+mMmKRtb8gFcyNp1X/+CUUR/wqq3T\nNiuq37l47XUyTax3MzKx/5oY81bVq85cT4HqeTEu63k+My1er5gYMwAA1eAaB8ArJJwBAPgtKxpR\nKmGrt2vtxFdJb1dMyR6bm214xi0UlR13Kn7AKxmbzmt4wjEiOVNLnbLjjq6/aqeiFe5MTap3M6qp\n/44Hox3DOOY2Us86cz0FquPFuKznObju8Qbk/GtizAAAVINrHAAvkXAGAOAcbqGogb7uipPkpZ8S\n4iYbXrKiEWWyM1WVzWRzRiRnaqnT94dz2t3Rqj272yqWMaXezaim/jscjHYM45jbSL3rzPUU2JgX\n47Ke5+C6xxuQ86+JMQMAUA2ucQC8xBrOAACcw4pGFGuzdPhQQsMTjjLZnHLOouJ2i9KpuJI9ttxC\nkZtseC7nLFVZbtHnSLxTa53Oa7M2LINgMrH/mhjzVtWzzkG9nq58T67paDQvxmU9x7Zp8XrFxJhL\nOO8BANZj8jUOQLCQcAYAYIXSBMzBve1K9tjlv5eewmKCBn6I29XdlsXtFp8j8U6tdTo9725YBsFk\nYv81Meatqnedg3Q9LSVYRifnlMnOKOcsKW5vUzrVqVSCL5OhcbwYl/Uc26bF6xUTY+a8BwCohonX\nOADBxE9qAwBQwcoJGCZk4Be3UFQ61VlV2XQqbsRP0NZSp2uTcR2fXdCx4/MVy5hS72ZUU/9NBqMd\nwzjmNtLIOlvRiI4cOaKjR4+WX9eTWygqP+/q7nvH9cEHntbQyKxGJuc0NDKrDz7wtO6+d1z5eTcU\n7QyzeDEu63kOrnu8ATn/mhoz5z0AwEZMvMYBCC4SzgAAAA1mRSNKJeyKa52W9HbFlOyxjfjyQy11\nSiVsPfSjUyoUKpcxpd7NqKb+mwhGO4ZxzG2k0XU+c+aM5ubmPN1ntaxoRP2DUxqbzq+5fWw6r/7B\nqVC0M8zixbis5zm47vEG5Pxrasyc9wAAGzHxGgcguEg4AwAABIBbKGqgr7viB73erpgG+rqN+kZx\ntXVacgt66ldrT4iaWO9mZGL/NTHmrWrWOmfHnYpJl5Kx6byGJ5xQ1R1m8GJc1nNsmxavV0yKmfMe\nAKAWJl3jAAQbazgDAAAEgBWNKNZm6fChhIYnHGWyOeWcRcXtFqVTcSV7zFtrr9o6SdLH3rkvNPVu\nRsvaetxRZvicdkzGlQzgWpFhHHMbadY6Z7IzVZXNZHPL1poG6sGLcVnPc7Dn8RpyLjIpZs57AIBa\nmHSNAxBsJJwBAAACovQB7uDe9mWTf6WkrIkf8GqpU5jq3YzKbb2vXcmEGe0YxjG3kWasc85ZqrLc\nos+RAGvzYlzW8xzsabwGnYtMipnzHgCgFiZd4wAEFz+pDQAAEDArP8yF4cNdNXUKY72bkYntaGLM\nW9VMdY7b1X3POm63+BwJsD4vxqUVjWhyclLHjh3b9D5qea/1XtdrH/VmQsyc9wAAm2HCNQ5AcJFw\nBgAAAACEklsoKp3qrKpsOhVnbTqEwuzsrE6cONHoMNAgnPcAAADQCCScAQAAAAChZEUjSiVs9XbF\n1i3X2xVTssfmKQ4AxuO8BwAAgEYg4QwAAAAACC23UNRAX3fF5EtvV0wDfd085QcgNDjvAQAAoN6q\nW9QFAAAAAAADWdGIYm2WDh9KaHjCUSabU85ZVNxuUToVV7LHllso8pQfQmP79u2yLKvRYaCBOO8B\nAACg3kg4AwBCaeUEChMqMAn9FwC8VTqHHtzbrmSPXf576ek+zrEb8+raZNo1zsR4Dxw4sOx1kOOF\nfzjvAQAAoJ5IOAMAQqU0qTY6OadMdkY5Z0lxe5vSqU6lEnyTH8FG/wUAf608h3JO3ZhX1ybTrnHE\ni7DgvAcAAIB6IOEMAAgNt1BUft5V/+CUxqbzy7YNjcyW1yqLtVlMtCBw6L8AgKDx6tpk2jWOeAEA\nAACgNtFGBwAAgFesaGTNibaSsem8+genmGhDINF/AQBB49W1ybRrHPECAAAAQG1IOAMAQsEtFJUd\ndypOtJWMTec1POGU1y4DgoD+CwAIGq+uTaZd44gXAAAAAGpHwhkAEApWNKJMdqaqsplsjic8ECj0\nXwBA0Hh1bTLtGke8AAAAAFA7Es4AgNDIOUtVllv0ORKgdvRfAEDQeHVtMu0aR7wAAB2QEz4AACAA\nSURBVAAAUBsSzgCA0Ijb26os1+JzJEDt6L8AgKDx6tpk2jWOeAEAAACgNiScAQCh4BaKSqc6qyqb\nTsVZvw6BQv8FAASNV9cm065xxAsAAAAAtSPhDAAIBSsaUSphq7crtm653q6Ykj0269chUOi/AICg\n8eraZNo1jngBAAAAoHYknAEAoeEWihro66444dbbFdNAXzdPdiCQ6L8AgKDx6tpk2jWOeAEAAACg\nNtUt9AMAgAGsaESxNkuHDyU0POEok80p5ywqbrconYor2WPLLRR5sgOBRP+tr+3bt8uyrEaHAQCB\n5tW1ybRrnOnxjk7OaWGxoNaWqC7b1x64eIGw4b4SAACAhDMAIGRKE2kH956dXCspPdHBRFv4rJxA\nNXlClf5bH26hqAMHDix7zbEFgLV5dW0y7RpHvBsz7R7MtHiblWntxH0lAADAWSScAQChtPJDPh/6\nw6c0mTM6OadMdkY5Z0lxe5vSqU6lEmY/yUP/9UeY+wwA+G2r16Zzz8Gjk44WFotqbYnosn12IM/B\nJsfr9zXOtOupafE2K9PaybR4AQAA/EbCGQAAGMctFJWfd9U/OKWx6fyybUMjs+W1CmNtFhM9kESf\nAYBGWu8c/JVHTgTuHBymeL2+xpl2PTUt3mZlWjuZFi8AAEA9RBsdAAAAQK2saGTNCZ6Ssem8+gen\nmOBBGX0GABrHtHMw8QbjvbxgWrzNyrR2Mi1eAACAeiDhDAAAjOIWisqOOxUneErGpvMannDKaxei\nedFnAKBxTDsH1xTveHPFG+q2DEC8zcq0djItXgAAgHoh4QwAAIxiRSPKZGeqKpvJ5niyAPQZAGgg\n087BNcU73FzxhrotAxBvszKtnUyLFwAAoF5IOAMAAOPknKUqyy36HAlMQZ/BelY+fcTTSIC3TDsH\nE28w3ssLpsXbrExrJ9PiBQAAqIdtjQ4AAACgVnG7uluYuN3icyQwBX0Ga3ELRVnRiEYn55TJzijn\nLClub1M61alUwi5vB7A1pp2DiTcY7+UF0+JtVqa1k2nxAgAA1ANPOAMAAKO4haLSqc6qyqZTcZ5U\nBH0Ga3ILReXnXd1977g++MDTGhqZ1cjknIZGZvXBB57W3feOKz/v0h+ALTLtHFxTvMnmijfUbRmA\neJuVae1kWrwAAAD1QsIZAAAYxYpGlErY6u2KrVuutyumZI/N0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            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 974,
              "height": 605
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B2cbJwMYN1dI",
        "colab_type": "code",
        "outputId": "b8057938-2f27-4b08-b5aa-91d40d35e8b9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        }
      },
      "source": [
        "sns.countplot(auto_df.origin);"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 969,
              "height": 605
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-ELDRQaJKX1L",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "auto_df['is_american'] = (auto_df.origin == 1).astype(int)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q1on_RdCNxf7",
        "colab_type": "code",
        "outputId": "f60ca4fe-35bc-437e-bd74-5ef1edd9f377",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        }
      },
      "source": [
        "sns.countplot(auto_df.is_american);"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 969,
              "height": 605
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7HZW753DHqEw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "def create_regression_dataset(\n",
        "    df, \n",
        "    columns=['mpg', 'weight', 'horsepower']\n",
        "):\n",
        "\n",
        "  all_columns = columns.copy()\n",
        "  all_columns.append('acceleration')\n",
        "\n",
        "  reg_df = df[all_columns]\n",
        "  reg_df = StandardScaler().fit_transform(reg_df[all_columns])\n",
        "  reg_df = pd.DataFrame(reg_df, columns=all_columns)\n",
        "\n",
        "  return reg_df[columns], reg_df.acceleration"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mELI7cIcK5Gw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def create_classification_dataset(df):\n",
        "  columns = ['mpg', 'weight', 'horsepower']\n",
        "\n",
        "  X = df[columns]\n",
        "  X = StandardScaler().fit_transform(X)\n",
        "  X = pd.DataFrame(X, columns=columns)\n",
        "\n",
        "  return X, df.is_american"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1LBjnlaOcBby",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import KFold, cross_val_score\n",
        "\n",
        "def eval_model(model, X, y, score):\n",
        "  cv = KFold(n_splits=10, random_state=RANDOM_SEED)\n",
        "  results = cross_val_score(model, X, y, cv=cv, scoring=score) \n",
        "  return np.abs(results.mean())\n",
        "\n",
        "def eval_classifier(model, X, y):\n",
        "  return eval_model(model, X, y, score=\"accuracy\")\n",
        "\n",
        "def eval_regressor(model, X, y):\n",
        "  return eval_model(model, X, y, score=\"neg_mean_squared_error\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nn5MoL5a2vVE",
        "colab_type": "text"
      },
      "source": [
        "# Simple Linear Regression"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IxNblcLzxhhP",
        "colab_type": "code",
        "outputId": "6da306d9-a598-4c9e-f837-185405281caf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 601
        }
      },
      "source": [
        "from sklearn.linear_model import LinearRegression\n",
        "\n",
        "X = np.array([\n",
        "  1,\n",
        "  2,\n",
        "  3,\n",
        "  4,\n",
        "  5,\n",
        "  6,\n",
        "  7,\n",
        "  8,\n",
        "])\n",
        "\n",
        "y = np.array([2, 5, 3, 6, 4, 7, 4.8, 8])\n",
        "\n",
        "X = np.expand_dims(X, axis=1)\n",
        "\n",
        "reg = LinearRegression().fit(X, y)\n",
        "\n",
        "y_pred = reg.predict(X)\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "\n",
        "ax.plot(X, y_pred, linewidth=3, color=\"#e74c3c\")\n",
        "ax.scatter(X, y, s=72)\n",
        "ax.vlines(X, y_pred, y);"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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uWhy5ltYUNgQgC4RPAAAAAAAuiFq5FP2Pbou+TeujeuhAfcP5QrR9\n6uYodnVH85VXRS6XS2dJADJD+AQAAAAAYFQNHX09SpvWR3nH5khKfXXN5i6aHMXlq6N4+5ooTJ+R\n0oYAZJHwCQAAAABA6pIkiYHnd0epd31UfvxERJLUNd906eworr4r2j99W+RaHWcLwG8SPgEAAAAA\nSE2tvxz9O7dHqbcnhg6+Vt9wPh+tCxdFx+p10Tz3asfZAnBGwif/H3v3HmN3YZ8J/zlzP78xFxvH\ndRwHQswlLMEQ43IJEGIwvuAZB5hBalabLkqz2UqraFVVqrR6V622W3XfvLuV3jYrvbv/tNl2u9uG\ncbiMsbEBc4dAuIeQcodwM+ZmsOecuZ7z/uHUmzQh8IM59lw+n7/GnvOceYQ48ngez3cAAAAAAKbd\n5Ouvpb7tmtR2bk1z/75S2cqCI1Ks709x6eVpX7K0RQ0BmGsMnwAAAAAATItms5nxxx9JbXgoY/fd\nlTQapfIdxx6fYvNgqheuS6Wnp0UtAZirDJ8AAAAAAHwszbGx1G+/6cA52xeeLReuVNJ91nkp+gfT\ntXKVc7YAfGSGTwAAAAAAPpKpN15Pbds1qe0YTnPfe6Wyld4FqV6yKcWmK9KxdFmLGgIwnxg+AQAA\nAAD40JrNZiae+FFqw0MZvfeOpDFVKt++/Lj09g+kZ836tFWLFrUEYD4yfAIAAAAA8IGa42Op33HL\ngXO2zz1dOt+9+twUm69M1xmrnbMFoCUMnwAAAAAAvK+pt95Mbfu1qd94XRrv7i2VrVSLn52zvTwd\nyz7dooYAcIDhEwAAAACAX9BsNjPx5I8PnLO9+7ZkquQ522XLU/QPpnrRxrQVztkCcGgYPgEAAAAA\nSJI0J8YzetetqQ1vycTTPymd71p1dnr7B9O16qxU2tpa0BAA3p/hEwAAAABgnpt6563Ub7w+tW3X\nprH37VLZSk811Ys3pugbSMfyY1vUEAA+mOETAAAAAGCemnjqJxkZHsroXbuSyclS2faly1L0DaS6\n9tK09S5oUUMA+PAMnwAAAAAA80hzcjKjd9+W2vBQJp78cel81xmrU/QPpvvMc1Jpb29BQwD4aAyf\nAAAAAADzwNTed1Lf8bNztm+/WSpb6e5Jz0Xr09s3kI5jj29RQwD4eAyfAAAAAABz2MSzT2Xk+qsz\nesctyeREqWzbkqXp3XRFquv60rbgiBY1BIDpYfgEAAAAAJhjmlOTGbv3zowMD2XiicdK57tWrkrR\nN5Dus85zzhaAWcPwCQAAAAAwRzTe3Zvazq2pbbsmjTf3lAt3daX65XUp+gfT+ZkVrSkIAC1k+AQA\nAAAAmOUmnn8mteGh1G+/KRkfL5VtW7wkxaYrUqzrS9uRR7WoIQC0nuETAAAAAGAWak5NZuz+ezJy\n/dWZePyR0vnOU09Pb/9gus85P5V2XyoGYPbzpxkAAAAAwCzS2Pde6jdtzcgN16SxZ3e5cGdXqheu\nTdE3kM4VJ7WmIAAcJoZPAAAAAIBZYOLF51PbuiX1XTcm42Olsm2LFqe49PIUG/rTdtTCFjUEgMPL\n8AkAAAAAMEM1p6Yy9sC9qQ0PZfzRB0vnO0/5fIr+wfSce2EqHb4cDMDc5k86AAAAAIAZprF/X+o3\nb0vthu9naver5cIdHem54OL09g2k86RTWlMQAGYgwycAAAAAwAwx+dKLB8/ZNkfrpbJtCxel2HhZ\nqhs2p33hMS1qCAAzl+ETAAAAAOAwajYaGX/ovowMD2X8oftL5ztPPCXF5sH0nLcmlc7OFjQEgNnB\n8AkAAAAAcBg0aiOp37w9ta1bMvXay+XC7e3pOf+iFP0D6Tr51NYUBIBZxvAJAAAAAHAITb76Umpb\nv5/6zdvSrNdKZduOOjrVDV9JsfGytB+zuEUNAWB2MnwCAAAAALRYs9HI+CM/TG14KGMP/KB0vmPF\nSendfGV6zl+TSld3CxoCwOxn+AQAAAAAaJFGvZbRXTsysnVLpl5+sVy4rT09X7wwRf9AOk85LZVK\npTUlAWCOMHwCAAAAAEyzyd2vprZ1y4FztiP7S2UrRxyVYsPmFJdelvbFS1rUEADmHsMnAAAAAMA0\naDabGX/swdSGt2Ts/ruTZrNUvuP4E1L0D6b6pbWpdDtnCwBlGT4BAAAAAD6Gxmg9o7fuTG3rlkz+\n9Ply4ba2dJ9zQXr7B9N56unO2QLAx2D4BAAAAAD4CCZffy31bdektnNrmvv3lcpWFhyRYn1/iksv\nT/uSpS1qCADzi+ETAAAAAOBDajabGX/8kdSGhzJ2311Jo1Eq33HcZ1P0D6R64bpUenpa1BIA5ifD\nJwAAAADAB2iOjaV++02pDQ9l8oVny4UrlXSfdV6K/sF0rVzlnC0AtIjhEwAAAADgfUy98Xpq265J\nbcdwmvveK5Wt9C5I9ZK+FJsuT8fSZS1qCAD8I8MnAAAAAMDPaTabmXjiR6kND2X03juSxlSpfPvy\n49LbP5CeNevTVi1a1BIA+KcMnwAAAAAASZrjYxm9c1dGrr86k889XS5cqaR79bkHztmesdo5WwA4\nDFo6fN5zzz258cYb8/DDD2fPnj2p1WpZvHhxlixZkpUrV+acc87Jueeem6Lwr54AAAAAgMNj6q03\nU9t+beo3XpfGu3tLZSvVItVLNqXYdEU6li1vUUMA4MNoyfD53HPP5Y/+6I9y//33/9L7Xn311bz6\n6qt55JFH8td//df58z//82zYsKEVNQAAAAAAfqVms5mJJ3984Jzt3bclUyXP2S5bnqJ/MNWLNqbN\nN3YAwIww7cPnY489lq9//evZt29fkqRSqeSf/bN/ls985jNZsGBB9u/fn+eeey5PPfVUpkp+MgEA\nAAAA8HE0J8YzetetqQ1vycTTPymd71p1dnr7B9O16qxU2tpa0BAA+Kimdfh88cUX8zu/8zsHR8++\nvr78/u//fpYtW/ZLj33vvfeya9eufOpTn5rOCgAAAL+gNjaVXQ+/k50PvJ2X32jP+GRS3PB4li7q\nyrrVi3LRFxam6G4/3DUBgBabeuet1G+8PrVt16ax9+1S2UpPNdW1G1NsGkjH8mNb1BAA+Limbfhs\nNpv59//+3+e9995Lknzzm9/M7//+77/v44888shcdtll0/XhAQAAfsHo+FS+u2N3dj7wdurjjZ/9\nbiVJsq8+lX2v1PP0K6/kL7e/lnWrF+Wq9UvT02UABYC5ZuKpn2RkeCijd+1KJidLZduXLkvRN5Dq\n2kvT1rugRQ0BgOkybcPnzp07D/5Mz9NOOy2/93u/N11PDQAAUMre/RP5w+8+n6dfqX/gY+vjjVx3\nz5t54sWR/PFVx+foBZ2HoCEA0ErNycmM3nPbgXO2//B46XzXGatT9A+m+8xzUmn3D6MAYLaYtuHz\n7//+7w++/fWvfz1t7tsDAACHwej41IcePX/e06/U80f/4/l8+1+t8J2fADBLTe19J/UdPztn+/ab\npbKV7p70XLQ+vX0D6Tj2+BY1BABaaVqGzzfeeCP33HNPkqSzszMXX3zxdDwtAABAad/dsbv06PmP\nnnq5nu/u2J3f7f/UNLcCAFpp4tmnUhseSv2OW5KJ8VLZ9iWfTNF3RaqXbErbgiNa1BAAOBSmZfh8\n9NFH02w2kyQrVqxId3d3RkZGcvXVV2fbtm158cUXMzo6mmOOOSYrV67Mpk2bcskll0zHhwYAADio\nNjaVnQ+8/bGeY+eDb+e31y1N0e27PgFgJmtOTWbs3jszMjyUiSceK53vWrkqRd9Aus86zzlbAJgj\npmX4/NGPfnTw7U9+8pP5h3/4h3zrW9/KT3/601943CuvvJJXXnkl27dvz6pVq/Kd73wnixcvno4K\nAAAA2fXwO6mPNz7Wc9THGrn1kXey6Wx/VwGAmajx7t7Udm5Nbds1aby5p1y4qyvVNetT9A2k8zMr\nWlMQADhspmX43L1798G39+3bl2984xt54403UqlUctppp+XEE0/M+Ph4Hn744bz88stJkoceeihf\n/epXs2XLlhx55JHTUQMAAJjnPu53e/788xg+AWBmmXj+mQPnbG+/KRkvd862bfGSFJuuSLGuL21H\nHtWihgDA4TYtw+d777138O0HHnggSfKJT3wif/EXf5FVq1YdfF+z2cz//t//O3/yJ3+Sqamp/PSn\nP80f//Ef57/8l/8yHTV+pf379+fBBx9s2fMT/31hBvK6hJnFaxIOnZffaE9S+fjPs6fmtQuHkNcb\nzEwz4rXZaKTnycez4Ae3p/vFZ0vHx479bPafc2FGT/580t6ePP1MC0rCoTEjXpPAQV6TM9O0DJ/1\nev0Xn7SjI//9v//3nHrqqb/w+5VKJf/8n//zjI6O5tvf/naS5IYbbsi3vvWtHHfccdNRBQAAmMfG\nJ3/9+3c/8j8Pvr30jH/xvo8b+4DnAQBaq1IbSe/D96X3/jvT8e47pbLN9o7UTluVkbO/lIlPLm9R\nQwBgJpqW4bO7u/sXfr1x48ZfGj1/3m//9m/nr/7qr7Jnz540Go3ceOON+df/+l9PR5VfsmDBgpx8\n8sktee757h//NcOZZ555mJsA/8jrEmYWr0k49IobHs+++tT7vn/PY//r4Nu/bvjs7enImWeeMa3d\ngF/mz0qY2Q7Ha3PixedT27ol9V03JuNjpbJtixan2HR5ivX9aTtqYYsawuHjz0uYGXwO23pPPvlk\n9u/f/5Gy0zJ8FkXxC7+++OKLf/0H7ejIl7/85Xzve99Lkjz88MPTUQMAAJjnli7qyr5X6h/8wA/x\nPADAodGcmsrYA/emNjyU8UfLnw3sPOXzKfoH03Puhal0TMuXOwGAWWpaPhM4+uijf+HXJ5xwwgdm\nVqxYcfDtPXv2TEcNAABgnlu3elGefuWVaXkeAKC1Gvv3pX7zttRu+H6mdr9aLtzRkZ4LLk5v/2A6\nT/xcawoCALPOtAyfn/3sZ3/h1//0O0B/ld7e3oNvj4yMTEcNAABgnrvoCwvzl9tfS3288ZGfo9rd\nljVnOI8HAK0y+dKLB8/ZNkfLXWpoW7goxcbLUt2wOe0Lj2lRQwBgtpqW4fOffodnrVb7wMzPj50L\nFiyYjhoAAMA8V3S3Z93qRbnunjc/8nOsO3NRiu72aWwFADQbjYw/dF9Ghocy/tD9pfOdJ52Sov/K\n9Jz35VQ6O1vQEACYC6Zl+DzjjDNSrVZTrx/4F1rPPPNMTjzxxF+befbZZw++/clPfnI6agAAAOSq\n9UvzxIsjefoj/KzPk5ZXc9X6pS1oBQDzU6M2kvrN21PbuiVTr71cLtzenp7zL0rRP5Cuk09tTUEA\nYE6ZluGzWq3m/PPPz0033ZQk2bVrVzZu3Pi+j5+amsrtt99+8NerV6+ejhoAAADp6WrPH191fP7w\nu8+XGj9PWl7Nf/iXn01Pl+/2BICPa/LVl1Lb+v3Ub96WZv2Dr8P9vLajjk51w1dSbLws7ccsblFD\nAGAumpbhM0m+9rWvHRw+t2/fnq9//es55ZRTfuVj/+Zv/iavv/56kqSrqyubNm2arhoAAAA5ekFn\n/p9vrsh3d+zOzgffTn3s/X/mZ7W7LevOXJSr1i81egLAx9BsNjP+8A9TG746Yw/8oHS+Y8VJ6d18\nZXouuCiVzq4WNAQA5rppGz7PPvvsrFmzJrfeemsmJibyzW9+M9/5zndyxhlnHHxMs9nM9773vfzn\n//yfD/7e1772tXziE5+YrhoAAABJDnzn5+/2fyq/vW5pbn3knex84O089nPvP2l5NetWL8qaMxb6\nmZ4A8DE06rWM7tqRka1bMvXyi+XCbe3p+eKFKfoH0nnKaalUKq0pCQDMC9M2fCbJn/7pn+arX/1q\nXnjhhezZsye/9Vu/lZUrV+bEE0/M+Ph4Hn744bz00ksHH7969er83u/93nRWAAAA+AVFd3s2nb04\nm85enKE//T+//+f/5qTDVwoA5oDJ3a+mtnXLgXO2I/tLZStHHJViw+YUl16W9sVLWtQQAJhvpnX4\nXLRoUb773e/mD/7gD3L//fen2Wzm0UcfzaOPPvpLj928eXP+43/8j+ns7JzOCgAAAABAizSbzYw/\n9mBqw1sydv/dSbNZKt9x/AkpNg+mesHaVLq7W9QSAJivpnX4TJJPfvKT+eu//uvccsstGR4ezuOP\nP54333wz7e3tWbJkSc4666wMDAzk9NNPn+4PDQAAAAC0QGO0ntFbd6a2dUsmf/p8uXBbW7rPuSC9\n/YPpPPV052wBgJaZ9uEzSSqVStauXZu1a9e24ukBAAAAgENgas/u1G74fmo7t6a5f1+pbGXBESnW\n96e49PK0L1naooYAAP9HS4ZPAAAAAGD2WrWgJ+/86f+VsfvuShqNUtmO4z6bon8g1QvXpdLT06KG\nAAC/zPAJAAAAAKQ5NpavHHNEfusTR+akojtj997x4cOVSrrPOi/F5ivTddoXnLMFAA4LwycAAAAA\nzGNTb7ye2vZrU7txOH943CdKZSu9C1K9pC/FpsvTsXRZixoCAHw4hk8AAAAAmGeazWYmnvhRasND\nGb33jqQxVSrfvvy49PYPpGfN+rRVixa1BAAox/AJAAAAAPNEc3wso3fuysj1V2fyuafLhSuVdK8+\nN0X/YLrOWO2cLQAw4xg+AQAAAGCOm3rrzdS2X5v6jdel8e7eUtlKtUj1kk0pNl2RjmXLW9QQAODj\nM3wCAAAAwBzUbDYz8eQTqQ1fndG7b0umSp6zXbY8Rf9gqhdtTFvhnC0AMPMZPgEAAABgDmlOjGf0\nrltTG96Siad/Ujo/uuJz+eS/+J10rTorlba2FjQEAGgNwycAAAAAzAFT77yV+o3Xp7bt2jT2vl0q\nW6lWU714Y57/zMmZXPwb+cyZZ7aoJQBA6xg+AQAAAGAWm3jqJxkZHsroXbuSyclS2faly1L0DaS6\n9tK09S7I5IMPtqglAEDrGT4BAAAAYJZpTk5m9J7bDpyz/YfHS+e7zvjNFP0D6T7znFTa26e/IADA\nYWD4BAAAAIBZYmrvO6nv+Nk527ffLJWtdPek56L16e0bSMexx7eoIQDA4WP4BAAAAIAZbuLZp1Ib\nHkr9jluSifFS2fYln0zRd0Wql2xK24IjWtQQAODwM3wCAAAAwAzUnJrM2L13ZmR4KBNPPFY637Vy\nVYq+gXSfdZ5ztgDAvGD4BAAAAIAZpPHu3tR2bk1t2zVpvLmnXLirK9U161P0DaTzMytaUxAAYIYy\nfAIAAADADDDx/DMHztneflMyXu6cbdviJSk2XZFiXV/ajjyqRQ0BAGY2wycAAAAAHCbNqamM3X93\nRq6/OhOPP1I633nq6entH0z3Oeen0u5LfQDA/OazIQAAAAA4xBr73kv9pq0ZueGaNPbsLhfu7Er1\nwrUHztmuOKk1BQEAZiHDJwAAAAAcIhMvPp/a1i2p77oxGR8rlW1btDjFpstTrO9P21ELW9QQAGD2\nMnwCAAAAQAs1p6YyrVBFRgAAIABJREFU9sC9qQ0PZfzRB0vnO0/5fIr+wfSce2EqHb6cBwDwfnym\nBAAAAAAt0Ni/L/Wbt6V2w/cztfvVcuGOjvRccHF6+wfTeeLnWlMQAGCOMXwCAAAAwDSafOnFg+ds\nm6P1Utm2hYtSbLws1Q2b077wmBY1BACYmwyfAAAAAPAxNRuNjD90X0aGhzL+0P2l850nnZKi/8r0\nnPflVDo7W9AQAGDuM3wCAAAAwEfUqI2kfvP21LZuydRrL5cLt7en5/yLUvQPpOvkU1tTEABgHjF8\nAgAAAEBJk6++lNrW76d+87Y067VS2bajjk51w1dSbLws7ccsblFDAID5x/AJAAAAAB9Cs9HI+CM/\nTG14KGMP/KB0vmPFSendfGV6Lrgolc6uFjQEAJjfDJ8AAAAA8Gs06rWM7tqRka1bMvXyi+XCbe3p\n+eKFKfoH0nnKaalUKq0pCQCA4RMAAAAAfpXJ3a+mtnXLgXO2I/tLZStHHJViw+YUl16W9sVLWtQQ\nAICfZ/gEAAAAgJ9pNpsZf+zB1Ia3ZOz+u5Nms1S+4/gTUvQPpvqltal0d7eoJQAAv4rhEwAAAIB5\nrzFaz+itO1PbuiWTP32+XLitLd3nXJDe/sF0nnq6c7YAAIeJ4RMAAACAeWvy9ddS33ZNaju3prl/\nX6lsZcERKdb3p7j08rQvWdqihgAAfFiGTwAAAADmlWazmfHHH0lteChj992VNBql8h3HfTZF/0Cq\nF65LpaenRS0BACjL8AkAAADAvNAcG0v99ptSGx7K5AvPlgtXKuk+67wU/YPpWrnKOVsAgBnI8AkA\nAADAnDb1xuupbbsmtR3Dae57r1S20rsg1Uv6Umy6PB1Ll7WoIQAA08HwCQAAAMCc02w2M/HEj1Ib\nHsrovXckjalS+fblx6W3fyA9a9anrVq0qCUAANPJ8AkAAADAnNEcH0v9jlsOnLN97uly4Uol3avP\nPXDO9ozVztkCAMwyhk8AAAAAZr2pt95Mbfu1qd94XRrv7i2VrVSLVC/ZlGLTFelYtrxFDQEAaDXD\nJwAAAACzUrPZzMSTPz5wzvbu25Kpkudsly1P0T+Y6kUb01Y4ZwsAMNsZPgEAAACYVZoT4xm969bU\nhrdk4umflM53rTo7vf2D6Vp1ViptbS1oCADA4WD4BAAAAGBWmHrnrdRvvD61bdemsfftUtlKTzXV\ntRtTbBpIx/JjW9QQAIDDyfAJAAAAwIw28dRPMjI8lNG7diWTk6Wy7UuXpegbSHXtpWnrXdCihgAA\nzASGTwAAAABmnObkZEbvvi214aFMPPnj0vmuM1an6B9M95nnpNLe3oKGAADMNIZPAAAAAGaMqb3v\npL7jZ+ds336zVLbS3ZOei9ant28gHcce36KGAADMVIZPAAAAAA67iWefysj1V2f0jluSyYlS2fYl\nn0zRd0Wql2xK24IjWtQQAICZzvAJAAAAwGHRnJrM2L13ZmR4KBNPPFY637VyVYq+gXSfdZ5ztgAA\nGD4BAAAAOLQa7+5NbefwgXO2b+4pF+7qSnXN+hR9A+n8zIrWFAQAYFYyfAIAAABwSEw8/0xqw0Op\n335TMj5eKtu2eEmKTVekWNeXtiOPalFDAABmM8MnAAAAAC3TnJrM2P33ZOT6qzPx+COl852nnp7e\n/sF0n3N+Ku2+lAUAwPvz2SIAAAAA066x773Ub9qakRuuSWPP7nLhzq5UL1x74JztipNaUxAAgDnH\n8AkAAADAtJl48fnUtm5JfdeNyfhYqWzbosUpLr08xYb+tB21sEUNAQCYqwyfAAAAAHwszampjD1w\nb2rDQxl/9MHS+c5TPp+ifzA9516YSocvVwEA8NH4TBIAAACAj6Sxf1/qN9+Q2tbvZ+r118qFOzrS\nc8HF6e0fTOeJn2tNQQAA5hXDJwAAAAClTL704sFzts3Reqls28JFKTZeluqGzWlfeEyLGgIAMB8Z\nPgEAAAD4QM1GI+MP3ZeR66/O+MM/LJ3vPPGUFJsH03PemlQ6O1vQEACA+c7wCQAAAMD7atRGUr95\ne2pbt2TqtZfLhdvb03P+RSn6B9J18qmtKQgAAD9j+AQAAADgl0y++lJqw1tSv2VbmvWS52yPOjrV\nDV9JsfGytB+zuEUNAQDgFxk+AQAAAEjys3O2j/wwteGhjD3wg9L5jhUnpXfzlek5f00qXd0taAgA\nAO/P8AkAAAAwzzXqtYzu2pGRrVsy9fKL5cJt7en54oUp+gfSecppqVQqrSkJAAAfwPAJAAAAME9N\n7n41ta1bUr/phjRrI6WylSOOSrFhc4pLL0v74iUtaggAAB+e4RMAAABgHmk2mxl/7MHUhrdk7P67\nk2azVL7j+BNS9A+m+qW1qXQ7ZwsAwMxh+AQAAACYBxqj9YzeujO14aFMvvRCuXBbW7rPuSC9/YPp\nPPV052wBAJiRDJ8AAAAAc9jk66+lvu2a1HZuTXP/vlLZyoIjUqzvT3Hp5WlfsrRFDQEAYHoYPgEA\nAADmmGazmfHHH0lteChj992VNBql8h3HHp9i82CqF65LpaenRS0BAGB6GT4BAAAA5ojm2Fjqt990\n4JztC8+WC1cq6T7rvBT9g+lauco5WwAAZh3DJwAAAMAsN/XG66ltuya1HcNp7nuvVLbSuyDVS/pS\nbLo8HUuXtaghAAC0nuETAAAAYBZqNpuZeOJHqQ0PZfTeO5LGVKl8+/Lj0ts/kJ4169NWLVrUEgAA\nDh3DJwAAAMAs0hwfS/2OWw6cs33u6XLhSiXdq889cM72jNXO2QIAMKcYPgEAAABmgam33kht+3Wp\n33hdGu/uLZWtVItUL9mUYtMV6Vi2vEUNAQDg8DJ8AgAAAMxQzWYzE0/++MA527tvS6ZKnrNdtjxF\n/2CqF21MW+GcLQAAc5vhEwAAAGCGaU6MZ/SuW1Mb3pKJp39SOt+16uz09g+ma9VZqbS1taAhAADM\nPIZPAAAAgBli6p23Dpyz3X5dGnvfLpWt9FRTvXhjir6BdCw/tkUNAQBg5jJ8AgAAABxmE0/9JCPD\nQxm9a1cyOVkq2750WYq+gVTXXpq23gUtaggAADOf4RMAAADgMGhOTGT0nttTGx7KxJM/Lp3vOmN1\niv7BdJ95Tirt7S1oCAAAs4vhEwAAAOAQmtr7Tuo7rk9t2zVpvP1WqWyluyc9F61Pb99AOo49vkUN\nAQBgdjJ8AgAAABwCE888eeCc7R23JJMTpbJtS5amd9MVqa7rS9uCI1rUEAAAZjfDJwAAAECLNKcm\nM3bvnRkZHsrEE4+VznetXJWibyDdZ53nnC0AAHwAwycAAADANGu8uze1ncOpbbs2jTf3lAt3daX6\n5XUp+gfT+ZkVrSkIAABzkOETAAAAYJpMPP9MasNDqd9+UzI+XirbtnhJik1XpFjXl7Yjj2pRQwAA\nmLsMnwAAAAAfQ3NqMmP33X3gnO3jj5TOd556enr7B9N9zvmptPtSDQAAfFQ+mwYAAAD4CBr73kv9\npq0ZueGaNPbsLhfu7Er1wrUp+gbSueKk1hQEAIB5xvAJAAAAUMLEi88fOGd7645kfKxUtm3R4hSX\nXp5iQ3/ajlrYooYAADA/GT4BAAAAPkBzaipjD9yb2vBQxh99sHS+85TPp+gfTM+5F6bS4csxAADQ\nCj7TBgAAAHgfjf37Ur/5htS2fj9Tr79WLtzRkZ4LLk5v30A6TzqlNQUBAICDDJ8AAAAA/8TkSy+m\ntnVL6rtuTHO0XirbtnBRio2Xpbphc9oXHtOihgAAwD9l+AQAAABI0mw0MvbgDw6cs334h6XznSee\nkmLzYHrOW5NKZ2cLGgIAAL+O4RMAAACY1xq1kdRv3p7a1i2Zeu3lcuH29vScf1GK/oF0nXxqawoC\nAAAfiuETAAAAmJcmX30pteEtqd+yLc16yXO2Rx2d6oavpNh4WdqPWdyihgAAQBmGTwAAAGDeaDYa\nGX/kh6kND2XsgR+UznesOCm9m69Mz/lrUunqbkFDAADgozJ8AgAAAHNeo15LfdeNqQ1vydQrPy0X\nbmtPzxcvTNE/kM5TTkulUmlNSQAA4GMxfAIAAABz1uRrr6R2w/dTv+mGNGsjpbKVI45KsWFziksv\nS/viJS1qCAAATBfDJwAAADCnNJvNjD/2YGrXD2Xsh/ckzWapfMdnVqTYfGWqX1qbSrdztgAAMFsY\nPgEAAIA5oTFaz+itO1MbHsrkSy+UC7e1pfvsC9K7eTCdp57unC0AAMxChk8AAABgVpt8/bUD52x3\nbk1zZH+pbGXBESnW96e49PK0L1naooYAAMChYPgEAAAAZp1ms5nxxx9JbXgoY/fdlTQapfIdxx6f\nYvNgqheuS6Wnp0UtAQCAQ8nwCQAAAMwazbGx1G/bmdrWoUy+8Fy5cKWS7rPOS9E/mK6Vq5yzBQCA\nOcbwCQAAAMx4U2+8ntq2a1LbMZzmvvdKZSu9C1K9ZFOKTVekY+myFjUEAAAON8MnAAAAMCM1m81M\nPPGjjAxfnbF770waU6Xy7cuPS2//QHrWrE9btWhRSwAAYKYwfAIAAAAzSnN8LPU7bklteCiTzz1d\nOt+9+twUm69M1xmrnbMFAIB5xPAJAAAAzAhTb72R2vbrUr/xujTe3VsqW6kWPztne3k6ln26RQ0B\nAICZzPAJAAAAHD7NZsb/4fHUhocyevdtyVTJc7bLlqfoH0z1oo1pK5yzBQCA+czwCQAAABxyzYnx\nVB99IAvuuz1vv/pS6XzXqrPT2z+YrlVnpdLW1oKGAADAbGP4BAAAAA6ZqXfeOnDOdvt1WbT37VLZ\nSk811Ys3pugbSMfyY1vUEAAAmK0MnwAAAEDLTTz1k4wMX53Ru25NJidLZduXLkvRN5Dq2kvT1rug\nRQ0BAIDZzvAJAAAAtERzYiKj99ye2vBQJp78cel81xmrU/QPpvvMc1Jpb29BQwAAYC4xfAIAAADT\namrvO6nvuD61bdek8fZbpbKV7p70XLQ+vX0D6Tj2+BY1BAAA5iLDJwAAADAtJp55MiPDQxm945Zk\ncqJUtm3J0vRuuiLVdX1pW3BEixoCAABzmeETAAAA+Miak5MZ+8GdGRkeysQTj5XO/3BfPX+/5938\nzbW3OWcLAAB8LIZPAAAAoLTGu3tT2zmc2rZr03hzT7lwV1eqX16Xzf/v/5dnRg98Z6jREwAA+LgM\nnwAAAMCHNvH8M6kND6V++03J+HipbNviJSk2XZFiXV/ajjwqz/zff9GilgAAwHxk+AQAAAB+rebU\nZMbuu/vAOdvHHymd7zz19PT2D6T7nAtSafelCAAAoDX8bQMAAAD4lRr73kv9pq0ZueGaNPbsLhfu\n7Er1wrUp+gbSueKk1hQEAAD4OYZPAAAA4BdMvPhcasNbUr91RzI+VirbtmhxiksvT7GhP21HLWxR\nQwAAgF9m+AQAAADSnJrK2AP3pnb91Rl/7KHS+c5TPp+ifzA9516YSocvNwAAAIeev4kAAADAPNbY\nvy/1m29Ibev3M/X6a+XCHR3pueDi9PYNpPOkU1pTEAAA4EMyfAIAAMA8NPnSi6lt3ZL6rhvTHK2X\nyrYtXJRi42Wpbtic9oXHtKghAABAOYZPAAAAmCeajUbGHvxBasNDGX/4h6XznSeekmLzYHrOW5NK\nZ2cLGgIAAHx0hk8AAACY4xq1kdRv3p7a1i2Zeu3lcuH29vSctybF5sF0nXxqawoCAABMA8MnAAAA\nzFGTr76U2vCW1G/Zlma95Dnbo45OdcNXUmy8LO3HLG5RQwAAgOlj+AQAAIA5pNloZPyRH6Y2PJSx\nB35QOt+x4qT0br4yPeevSaWruwUNAQAAWsPwCQAAAHNAo15LfdeNqQ1vydQrPy0XbmtPzxcvTNE/\nkM5TTkulUmlNSQAAgBYyfAIAAMAsNvnaK6nd8P3Ub7ohzdpIqWzliKNSbNic4tLL0r54SYsaAgAA\nHBqGTwAAAJhlms1mxh97MLXrhzL2w3uSZrNUvuMzK1JsvjLVL61Npds5WwAAYG4wfAIAAMAs0Rit\nZ/TWnakND2XypRfKhdva0n32BendPJjOU093zhYAAJhzDJ8AAAAww02+/tqBc7Y7t6Y5sr9UtrLg\niBTr+1NcennalyxtUUMAAIDDz/AJAAAAM1Cz2cz444+kNjyUsfvuShqNUvmOY49P0T+Y6pfXpdLT\n06KWAAAAM4fhEwAAAGaQ5thY6rftTG3rUCZfeK5cuFJJ91nnpegfTNfKVc7ZAgAA84rhEwAAAGaA\nqTdeT23bNantGE5z33ulspXeBalesinFpivSsXRZixoCAADMbIZPAAAAOEyazWYmnvhRRoavzti9\ndyaNqVL59uXHpbd/ID1r1qetWrSoJQAAwOxg+AQAAIBDrDk+lvodt6Q2PJTJ554une9efW6KzVem\n64zVztkCAAD8jOETAAAADpGpt95Ibft1qd94XRrv7i2VrVSLn52zvTwdyz7dooYAAACzl+ETAAAA\nWqjZbGbiyR+nNjyU0btvS6ZKnrNdtjxF30CqF1+atsI5WwAAgPdj+AQAAIAWaE6MZ/SuW1Mb3pKJ\np39SOt+16uz09g+ma9VZqbS1taAhAADA3GL4BAAAgGk09c5bB87Zbr8ujb1vl8pWeqqpXrwxRd9A\nOpYf26KGAAAAc5PhEwAAAKbBxFM/ycjwUEbv2pVMTpbKti9dduCc7dpL09a7oEUNAQAA5jbDJwAA\nAHxEzYmJjN5ze2rDQ5l48sel811nrE7RP5juM89Jpb29BQ0BAADmD8MnAAAAlDS1953Ud1yf2rZr\n0nj7rVLZSndPei5an96+gXQce3yLGgIAAMw/hk8AAAD4kCaeefLAOds7bkkmJ0pl25YsTe+mK1Jd\n15e2BUe0qCEAAMD8NW3D53e+85381//6X0tl/vZv/zarV6+ergoAAAAw7ZpTkxm7986MDA9l4onH\nSue7Vq5K0TeQ7rPOc84WAACghXzHJwAAAPwKjXf3prZzOLVt16bx5p5y4a6uVL+8LkX/YDo/s6I1\nBQEAAPgFLRk+TzvttKxcufIDH/cbv/EbrfjwAAAA8JFNPP9MasNDqd9+UzI+XirbtnhJik1XpFjX\nl7Yjj2pRQwAAAH6VlgyfF154Yb71rW+14qkB+CdqY1PZ9fA72fnA23n5jfaMTybFDY9n6aKurFu9\nKBd9YWGKbifVAAB+nebUZMbuvycj11+diccfKZ3vPPX09PYPpPucC1Jpd1wJAADgcPC3MYBZanR8\nKt/dsTs7H3g79fHGz363kiTZV5/KvlfqefqVV/KX21/LutWLctX6penpMoACAPy8xr73Ur9pa0Zu\nuCaNPbvLhTu7Ur1wbYq+gXSuOKk1BQEAAPjQDJ8As9De/RP5w+8+n6dfqX/gY+vjjVx3z5t54sWR\n/PFVx+foBZ2HoCEAwMw28eLzB87Z3rojGR8rlW1btDjFpZen2NCftqMWtqghAAAAZRk+AWaZ0fGp\nDz16/rynX6nnj/7H8/n2v1rhOz8BgHmpOTWVsQfuTW14KOOPPlg633nK51P0D6bn3AtT6fDXaQAA\ngJnG39QAZpnv7thdevT8R0+9XM93d+zO7/Z/appbAQDMXI39+1K/+YbUtn4/U6+/Vi7c0ZGeCy5O\nb99AOk86pTUFAQAAmBYtGT7ffPPNXHvttXnhhRdSr9dz5JFHZvny5fnN3/zNLFu2rBUfEmBeqI1N\nZecDb3+s59j54Nv57XVLU3T7rk8AYG6bfOnF1LZuSX3XjWmOlvuHY20LF6XYeFmqGzanfeExLWoI\nAADAdGrJ8Pl3f/d3+bu/+7tf+b5zzz03//bf/tt84QtfaMWHBpjTdj38TurjjY/1HPWxRm595J1s\nOnvxNLUCAJg5mo1Gxh+6LyPXX53xh39YOt954ikpNg+m57w1qXT62egAAACzySE/dXvvvffm/vvv\nzx/8wR/kqquuOtQfHmBW+7jf7fnzz2P4BADmkkZtJPWbt6e2dUumXnu5XLi9PT3nrUmxeTBdJ5/a\nmoIAAAC03LQOnyeccEI2bNiQs846KyeccEKOPPLIjI6O5vnnn8/NN9+cv/3bv83+/fszNTWV//Sf\n/lMWLlyYr3zlK9NZ4Zfs378/Dz74YEs/xnznvy8cOi+/0Z6k8vGfZ0/NaxcOIa83mJm8NueG9rfe\nyIL77kjxyP1pGx8rlZ0qFmRk9Rczsvq8NI48Ktk/mvj/4rDxmoSZxWsSZh6vS5hZvCZnpmkbPr/2\nta/lW9/61i/9fmdnZ1auXJmVK1fmyiuvzDe+8Y288MILSZI/+ZM/yZo1a3LkkUdOVw2AOW188te/\nf/cj//Pg20vP+Bfv+7ixD3geAIAZrdFI93NPZsF9d6bn6SdKx8c/uTz7z/5S6qd+IXHOFgAAYM6Y\ntuHz6KOP/sDHfPrTn85/+2//Lf39/ZmYmMh7772X733ve/nGN74xXTV+yYIFC3LyySe37Pnns3/8\n1wxnnnnmYW4C80dxw+PZV5963/fveex/HXz71w2fvT0dOfPMM6a1G/DL/FkJM5vX5uzTqNcyumtH\nRrZuydTLL5YLt7Wn54sXpugfSOcpp6VS+fhXNJheXpMwM/gcFmYur0uYGfxZ2XpPPvlk9u/f/5Gy\nh/xnfB5//PHZtGlTrr322iTJnXfe2dLhE2AuWbqoK/teqU/L8wAAzBaTu19NbeuW1G+6Ic3aSKls\n5YijUmzYnOLSy9K+eEmLGgIAADATHPLhM0nOPffcg8Pns88+ezgqAMxK61YvytOvvDItzwMAMJM1\nm82MP/ZgasNbMnb/3UmzWSrf8ZkVKTZfmeqX1qbS3d2ilgAAAMwkh2X4XLx48cG39+7dezgqAMxK\nF31hYf5y+2upjzc+8nNUu9uy5oyF09gKAGD6NEbrGb11Z2rDQ5l86YVy4ba2dJ99QXo3D6bz1NOd\nswUAAJhnDsvwOTo6evDtoigORwWAWanobs+61Yty3T1vfuTnWHfmohTd7dPYCgDg45t8/bXUt12T\n2s6tae7fVypbWXBEivX9KS69PO1LlraoIQAAADPdYRk+n3jiiYNvf+ITnzgcFQBmravWL80TL47k\n6Y/wsz5PWl7NVet9MRAAmBmazWbGH38kteGhjN13V9Iod9Wi49jjU/QPpvrldan09LSoJQAAALPF\nIR8+JycnMzw8fPDXq1evPtQVAGa1nq72/PFVx+cPv/t8qfHzpOXV/Id/+dn0dPluTwDg8GqOjaV+\n+00Hztm+8Gy5cKWS7rPOS9E/mK6Vq5yzBQAA4KBpGT5HRkbS29v7oR77Z3/2Z/npT3968Nf9/f3T\nUQFgXjl6QWf+n2+uyHd37M7OB99Ofez9vzui2t2WdWcuylXrlxo9AYDDauqN11Pbdk1qO4bT3Pde\nqWyld0Gql2xKsemKdCxd1qKGAAAAzGbTMnz+1V/9VR5++OF89atfzZe+9KV0dXX90mN2796dP/uz\nP8v1119/8PfWrl3rOz4BPqKervb8bv+n8tvrlubWR97JzgfezmM/9/6TllezbvWirDljoZ/pCQAc\nNs1mMxNP/Ci14aGM3ntH0pgqlW9fflx6+wfSs2Z92qpFi1oCAAAwF0zL8NlsNnPXXXflrrvuSk9P\nT04++eR8+tOfTm9vb8bGxvLCCy/k8ccfz+Tk5MHM5z73uXz729+ejg8PMK8V3e3ZdPbibDp7cYb+\n9P/8/p//m5MOXykAYN5rjo+lfsctB87ZPvd06Xz36nNTbL4yXWesds4WAACAD2Xaf8bn6OhoHn30\n0Tz66KO/8v3t7e0ZGBjIv/t3/y5F4V/rAgAAzCVTb72Z2vZrU7/xujTe3VsqW6kWPztne3k6ln26\nRQ0BAACYq6Zl+Pyd3/mdrF69Og899FAeffTRvPbaa3nnnXeyd+/edHR05Mgjj8wJJ5yQVatW5fLL\nL8+nPvWp6fiwAAAAzADNZjMTT/74wDnbu29Lpkqes122PEXfQKoXX5o2/0AWAACAj2hahs+iKHLu\nuefm3HPPnY6nAwAAYBZoToxn9K5bUxvekomnf1I637Xq7PT2D6Zr1VmptLW1oCEAAADzybSfugUA\nAGBum3rnrdS2X5f69uvS2Pt2qWylp5rqxRtT9A2kY/mxLWoIAADAfGT4BAAA4EOZeOonGRkeyuhd\nu5LJyVLZ9qXLDpyzXXtp2noXtKghAAAA85nhEwAAgPfVnJzM6N23pTY8lIknf1w633XG6hT9g+k+\n85xU2ttb0BAAAAAOMHwCAADwS6b2vpP6jutT23ZtGm+/WSpb6e5Jz0Xr09s3kI5jj29RQwAAAPhF\nhk8AAAAOmnj2qYxcf3VG77glmZwolW1bsjS9m65IdV1f2hYc0aKGAAAA8KsZPgEAAOa55tRkxu69\nMyPDQ5l44rHS+a6Vq1L0DaT7rPOcswUAAOCwMXwCAADMU41396a2c/jAOds395QLd3Wl+uV1KfoH\n0/mZFa0pCAAAACUYPgEAAOaZieefSW14KPXbb0rGx0tl2xYvSbHpihTr+tJ25FEtaggAAADlGT4B\nAADmgebUZMbuvycj11+diccfKZ3vPPX09PYPpPucC1Jp91dJAAAAZh5/WwUAAJjDGvveS/3/Z+9e\ng+Qs7DPRP91z7XeEZQmtVlEUbKIYh8IGAooAA1EQoOuMDJphT51NTtapc3YrVVve3e+p8ta69svJ\nnq2tU5tTtbV7KuWtnK18YASYGYQksMBcjLkIY4whgDFWuMmYq6Xpnlv3ez7IduyNbfTCtDQz+v0+\nGWmenqdcNcxMP/S/75nM1F23p/PmsWrhvv40ttyQYng0fRsv6E5BAAAAWCCGTwAAgGVo7ujLaU7u\nS+vwgWR2plK2vnpNil03p9gxkvrKVV1qCADAL9Ocaefwt97NoSfe+YU//1d/+UK2bVqdrb+3KsVA\nzxlqB7C4GT4BAACWibLdzswTj6Q5MZ7Zbx+pnO+78DMpRsYyeNWW1Hr9uggAcDpNz7bzlYPHcuiJ\nd9Ka7fyDv3+XsBQWAAAgAElEQVTxtVZefO21/NXdb2TbptX5wvZ1Gew3gAL8PL/JAgAALHGdE8fT\nund/mnfdlvax16uFe3szeO31GRoeTd8FF3anIAAAv9Z7J+bypa+8nBdfa33gx7ZmO/nqN97Ks0en\n8uUvnJ+Pr+g7DQ0BlgbDJwAAwBI1/8rRn52zLac/+Emyn1dftTrFzpvS2LEnPavO7VJDAAA+yPRs\n+5RHz5/34mut/Nv//nL+z3++0Ss/AX7C8AkAALCElJ1OZp98NFN33prZbz1eOd/3qQtT7BnL4NXX\npdbn1QEAAGfaVw4eqzx6/tQLr7bylYPH8mcjv7nArQCWJsMnAADAEtBpTqV1791pTu5L+41Xq4V7\nejJ49XUp9oyl/9MXdacgAACVNWfaOfTEOx/pMQ4deSd/sm1digGv+gQwfAIAACxi86+/kubkbWnd\nuz9lq1kpW1/58TR2fD7FzpvSc+6aLjUEAODDOvytd9Oa7Xykx2jNdHLfU+9m9xV+3gMwfAIAACwy\nZaeT2aceT3NiPDNPfLNyvnfjBRnac0sGr7kutf6BLjQEAGAhfNRXe/784xg+AQyfAAAAi0an1cz0\n4YOZmtyX9qtHq4XrPRn83JYUI6Ppu/CzqdVq3SkJAMCCOfbO7KJ6HIClzvAJAABwhs0fez3NyX0n\nz9lOnaiUrZ2zMsWOPSl23ZSeNWu71BAAgG74oDO3ay/+p6f0OM2Zj3YuF2C5MHwCAACcAWVZZvbp\nI2lO7MvMYw8nZVkp3/vJjSn23JLGH9yQ2oBztgAAS1Gjv57jrfav/Pt1l/7xKT1OMVBfqEoAS5rh\nEwAA4DTqTLcyfd+hNCfGM//KD6qF6/UMXHFthvaMpe+iS5yzBQBY4tat7s/x11oL8jgAGD4BAABO\ni/kfvpHW/tvTPDSZ8sTxStnainNSbB9Jsevm9Kxd16WGAACcbts2rc6Lr722II8DgOETAACga8qy\nzOwzT6U5MZ6ZRx9KOtXee6n3vPNTjIyl8YfbUhsc7FJLAADOlK2/typ/dfcbH/hen79OY6Ce6y5d\ntYCtAJYuwycAAMACK2dm0vr6PSfP2f7gpWrhWi0Dm69OMTKW/osvc84WAGAZKwZ6sm3T6nz1G299\n6MfYdvnqFAM9C9gKYOkyfAIAACyQ9o9+mOb+29M8OJHy+I8rZWtDK9K4cXeK3XvTu259lxoCALDY\nfGH7ujx7dCovfoj3+rxgQyNf2O6tEAB+yvAJAADwEZRlmblnv5PmxHimH3kg6bQr5Xs2fCJDI6MZ\nvG576o2iSy0BAFisBvt78uUvnJ8vfeXlSuPnBRsa+Xf/7Lcz2O/VngA/ZfgEAAD4EMrZmbQe+NrJ\nc7bff7FyfmDTVSn23JL+Szc5ZwsAcJb7+Iq+/MW/2JivHDyWQ0feSWvmV7/nZ2Ognm2Xr84Xtq8z\negL8TwyfAAAAFbTffivNu+9I68BX03n/vUrZWqP4yTnbm9O7/re61BAAgKVosL8nfzbym/mTbety\n31Pv5tAT7+TVN5uZmU+GBnuzbnV/tm1anesuXeU9PQF+BcMnAADAByjLMnPPf/fkOduH70/aFc/Z\nrt+QYng0jet3pV44ZwsAwK9WDPRk9xVrsvuKNTly5EiS5PLLLz3DrQCWBsMnAADAr1DOzWb6ofvS\nnNiXuRefq5zvv+yKDI2Mpf+yzanV611oCAAAAPyU4RMAAOB/0n737bQO3Jnm/jvSee+dStnaYCON\n63emGB5N74bzutQQAAAA+J8ZPgEAAH5i7oXnMjUxnumHDifz85WyPevWnzxne8Ou1IdWdKkhAAAA\n8KsYPgEAgLNaOT+f6W/cf/Kc7d8+Uznff+mmFCNjGbj8ytR6eha+IAAAAHBKDJ8AAMBZqf3eu2kd\n/Mk523feqpStDQxmcOv2DA2Ppve887vUEAAAAKjC8AkAAJxVPt3oz/+6dmV+9KejyfxcpWx97boM\n7d6bxrbh1Fec06WGAAAAwIdh+AQAAJa9sj2fmUcezP97wW/k91Y0Tv5hhdGz/+LLUgyPZmDz1c7Z\nAgAAwCJl+AQAAJatzvvvpXloMs39t6fz1pt/P3qeiv7+NP5wW4qRsfR9cmP3SgIAAAALwvAJAAAs\nO3Mvfy/NifG0vn5PMjtbKVtfszbF7r0ptg2n/rGVXWoIAAAALDTDJwAAsCyU7XZmHns4U3femrln\nnqqc77vokgyNjGbgymtT6/GrEgAAACw1fpsHAACWtM7xH6d1z2Sm7ro9nTePVQv39aex5YYUw6Pp\n23hBdwoCAAAAp4XhEwAAWJLmjr6c5uS+tA4fSGZnKmXrq9ek2HVzih0jqa9c1aWGAAAAwOlk+AQA\nAJaMst3OzBOPpDkxntlvH6mcn/mt8zO1+dpc+Md/mlqvX4cAAABgOfGbPgAAsOh1ThxP6979ad51\nW9rHXq8W7u3N4LXXZ2h4NE8fbyaJ0RMAAACWIb/tAwAAi9b8K0d/ds62nG5VytZXrU6x86Y0duxJ\nz6pzT/7hkeqvEgUAAACWBsMnAACwqJSdTmaffDRTE+OZffKxyvm+T12YYs9YBq++LrW+vi40BAAA\nABYjwycAALAodJpTad17d5qT+9J+49Vq4Z6eDF59XYo9Y+n/9EXdKQgAAAAsaoZPAADgjJp//ZU0\nJ29L6979KVvNStn6yo+nsePzKXbelJ5z13SpIQAAALAUGD4BAIDTrux0MvvU42lOjGfmiW9Wzvdu\nvCBDe27J4DXXpdY/0IWGAAAAwFJj+AQAAE6bTquZ6cMHMzW5L+1Xj1YL13sy+LktKUZG03fhZ1Or\n1bpTEgAAAFiSDJ8AAEDXzR97Pc3JfSfP2U6dqJStnbMyxY49KXbdlJ41a7vUEAAAAFjqDJ8AAEBX\nlGWZ2aePpDmxLzOPPZyUZaV87yc3pthzSxp/cENqA87ZAgAAAL+e4RMAAFhQnelWpu87lObkvsz/\n3cvVwvV6Bq64NkN7xtJ30SXO2QIAAACnzPAJAAAsiPabx9K867Y0D02mPHG8Ura24pwU20dS7Lo5\nPWvXdakhAAAAsJwZPgEAgA+tLMvMPfNUpibGM/PoQ0mnUynfe975KfaMpbFlW2qDg11qCQAAAJwN\nDJ8AAEBl5cxMWl+/J82J8cz/4KVq4VotA5uvTjEylv6LL3POFgAAAFgQhk8AAOCUtX/0wzT3357m\nwYmUx39cKVsbWpHGjbtT7N6b3nXru9QQAAAAOFsZPgEAgF+rLMvMPfudNCfGM/3IA0mnXSnfs+ET\nGRoZzeB121NvFF1qCQAAAJztDJ8AAMAvVc7OZPrBw5m689bMf//FauFaLQObrjp5zvbSTc7ZAgAA\nAF1n+AQAAH5B++230rz7jrQOfDWd99+rlK01ir8/Z7t+Q5caAgAAAPxDhk8AAODkOdvnn01z4tZM\nP3x/0q54znb9hhQjY2ls3Zl64ZwtAAAAcPoZPgEA4CxWzs1m+qH70pzYl7kXn6uc77/sigyNjKX/\nss2p1etdaAgAAABwagyfAABwFmq/+3ZaB+5Mc/8d6bz3TqVsbbCRxvU7UwyPpnfDeV1qCAAAAFCN\n4RMAAM4icy88l6mJ8Uw/dDiZn6+U7Vm3PsXwaBo37Ep9aEWXGgIAAAB8OIZPAABY5sr5+Ux/4/6T\n52z/9pnK+f5LN6UYGcvA5Vem1tOz8AUBAAAAFoDhEwAAlqn2e++mdfAn52zfeatStjYwmMGt2zM0\nPJre887vUkMAAACAhWP4BACAZWbupRfSnBhP64GvJXOzlbL1tesytHtvGtuGU19xTpcaAgAAACw8\nwycAACwDZXs+M488mKmJ8cw9+3TlfP/Fl6UYHs3A5qudswUAAACWJMMnAAAsYZ3330vz0GSa+29P\n5603q4X7+9O4bnuK4dH0fXJjdwoCAAAAnCaGTwAAWILmXv7eyXO2X78nma14znbN2hS796bYNpz6\nx1Z2qSEAAADA6WX4BACAJaJstzPz2MOZuvPWzD3zVOV830WXZGhkLANXXpNaj18FAAAAgOXFsx0A\nALDIdY7/OK17JjN11+3pvHmsWrivP40tN5w8Z7vxgu4UBAAAAFgEDJ8AALBIzR19Oc3JfWkdPpDM\nzlTK1levSbHr5hQ7RlJfuapLDQEAAAAWD8MnAAAsImW7nZknHklzYjyz3z5SOd934WdSjIxl8Kot\nqfX6cR8AAAA4e3gmBAAAFoHOieNp3bs/zbtuS/vY69XCvb0ZvPb6DA2Ppu+CC7tTEAAAAGCRM3wC\nAMAZNP/K0Z+dsy2nW5Wy9VWrU+y8KY0de9Kz6twuNQQAAABYGgyfAABwmpWdTmaffDRTE+OZffKx\nyvm+T12YYs9YBq++LrW+vi40BAAAAFh6DJ8AAHCadJpTad17d5qT+9J+49Vq4Z6eDF6zNcXIaPo/\nfVF3CgIAAAAsYYZPAADosvnXX0lz8ra07t2fstWslK2v/HgaOz6fYudN6Tl3TZcaAgAAACx9hk8A\nAOiCsiwz+63H05y4NTNPfLNyvnfjBRnac0sGr7kutf6BLjQEAAAAWF4MnwAAsIA6rWamDx/M1OS+\ntF89Wi1c78ng57akGBlN34WfTa1W605JAAAAgGXI8AkAAAtg/tjraU7uO3nOdupEpWztnJUpduxJ\nseum9KxZ26WGAAAAAMub4RMAAD6ksiwz+/SRNCf2Zeaxh5OyrJTvPf93UoyMpfEHN6Q24JwtAAAA\nwEdh+AQAgIo6061M33cozcl9mf+7l6uF6/UMXHlthkbG0nfRJc7ZAgAAACwQwycAAJyi9pvH0rzr\ntjQPTaY8cbxStrbinBTbR1Lsujk9a9d1qSEAAADA2cvwCQAAv0ZZlpl75qlMTYxn5tGHkk6nUr73\nE7+dYmQ0jS3bUhsc7FJLAAAAAAyfAADwS5QzM2l9/Z40J8Yz/4OXqoVrtQxsvjrFyFj6L77MOVsA\nAACA08DwCQAAP6f9ox+mefcdaR6YSHn8/UrZ2tCKNG4cTrH75vSuW9+lhgAAAAD8MoZPAADOemVZ\nZu7Z76Q5MZ7pRx5IOu1K+Z4Nn8jQyGgGr9ueeqPoUksAAAAAfh3DJwAAZ61ydibTDx7O1MR45l96\noVq4VsvApqtOnrO9dJNztgAAAABnmOETAICzTvvtt9K8+460Dnw1nfffq5StNYo0btydYvfe9K7f\n0KWGAAAAAFRl+AQA4KxQlmXmnn82zYlbM/3w/Um74jnb9RtSjIylsXVn6oVztgAAAACLjeETAIBl\nrZybzfRD96U5sS9zLz5XOd9/2RUZGhlL/2WbU6vXu9AQAAAAgIVg+AQAYFlqv/t2WgfuTHP/Hem8\n906lbG2wkcYNO1PsHk3vhvO61BAAAACAhWT4BABgWZl74blMTYxn+qHDyfx8pWzPuvUphkfTuGFX\n6kMrutQQAAAAgG4wfAIAsOSV8/OZ/sb9J8/Z/u0zlfP9l/5+ipHRDFx+ZWo9PQtfEAAAAICuM3wC\nALBkdd5/N82fnrN9561K2drAYAa3bs/Q8Gh6zzu/Sw0BAAAAOF0MnwAALDlzL72Q5sR4Wg98LZmb\nrZTtWfsbKYb3pnHj7tRXnNOlhgAAAACcboZPAACWhLI9n5lHHszUxHjmnn26cr7/4stSDI9mYPPV\nztkCAAAALEOGTwAAFrXO+++leWgyzf23p/PWm9XC/f1pXLc9xfBo+j65sTsFAQAAAFgUDJ8AACxK\ncy9/7+Q526/fk8xWO2dbX7M2xe69KbYNp/6xlV1qCAAAAMBiYvgEAGDRKNvtzDz2cJoT45n9zrcq\n5/suuiRDI2MZuPKa1Hr8qAsAAABwNvFsEAAAZ1znxPG0Dk1k6q7b03nzWLVwX38aW244ec524wXd\nKQgAAADAomf4BADgjJk7+nKak/syfd/BlDPTlbL11WtS7L45xfaR1Feu6lJDAAAAAJYKwycAAKdV\n2W5n5olHTp6z/faRyvm+Cz+TYmQsg1dtSa3Xj7MAAAAAnOSZIgAATovOieNp3bs/zbtuS/vY69XC\nvb0ZvPb6DI2Mpe9Tv9udggAAAAAsaYZPAAC6av6Vo2lO7kvr8IGU061K2fqq1Sl23pTGjj3pWXVu\nlxoCAAAAsBwYPgEAWHBlp5PZJx/N1MR4Zp98rHK+74ILU4zcksGr/zC1vr4uNAQAAABguTF8AgCw\nYDrNqbS+dneak/vSfv3VauGengxeszXFyGj6P31RdwoCAAAAsGwZPgEA+MjmX38lzcnb0rp3f8pW\ns1K2vvLjaez4fIqdN6Xn3DVdaggAAADAcmf4BADgQynLMrPfejzNifHMHPlmUpaV8r0bL8jQnlsy\neO3W1Pr6u9QSAAAAgLOF4RMAgEo6rWamDx/M1OS+tF89Wi1c78ng57akGBlN34WfTa1W605JAAAA\nAM46hk8AAE7J/LHX05zcd/Kc7dSJStnaOStT7NiTYtdN6VmztksNAQAAADibGT4BAPiVyrLM7NNH\n0pzYl5nHHq5+zvb830mxZyyNa29IbWCgSy0BAAAAwPAJAMAvUU5Pp3X/oTQnxjP/dy9XC9frGbjy\n2gyNjKXvokucswUAAADgtDB8AgDwM+03j6V5121pHppMeeJ4pWxtxTkpto+k2HVzetau61JDAAAA\nAPjlDJ8AAGe5siwz98xTmZrYl5lHH0w6nUr53k/8doqR0TS2bEttcLBLLQEAAADg1zN8AgCcpcqZ\nmbS+fs/Jc7Y/eKlauFbLwOarU+y5Jf2f/T3nbAEAAAA44wyfAABnmfaPfpjm3XekeWAi5fH3K2Vr\nQyvSuHE4xe6b07tufZcaAgAAAEB1hk8AgLNAWZaZe/Y7aU6MZ/qRB5JOu1K+Z8MnMjQymsHrtqfe\nKLrUEgAAAAA+PMMnAMAyVs7OZPrBw5maGM/8Sy9UC9dqGdh0VYqRsfRfusk5WwAAAAAWNcMnAMAy\n1H77rTTvviOtA19N5/33KmVrjSKNG3en2L03ves3dKkhAAAAACwswycAwDJRlmXmnn/25Dnbh+9L\n2hXP2f7mb6UYHk1j687UC+dsAQAAAFhaDJ8AAEtcOTeX6YcOpzmxL3MvPlc533/ZFRkaGUv/ZZtT\nq9e70BAAAAAAus/wCQCwRLXffTutA3emefcd6bz7TqVsrdFI4/qdKXaPpnfDeV1qCAAAAACnj+ET\nAGCJmXvxbzN1562ZfuhwMj9fKduzbv3Jc7Y37Ep9aEWXGgIAAADA6Wf4BABYAsr5+Ux/4/6T52z/\n9pnK+f5Lfz/FyGgGLr8ytZ6ehS8IAAAAAGeY4RMAYBHrvP9umgfuTHP/Hem881albG1gMINbt2do\neDS9553fpYYAAAAAsDgYPgEAFqG5l15Ic2I8rQe+lszNVsr2rP2NFMN707hxd+orzulSQwAAAABY\nXAyfAACLRNmez8w3H8zUneOZe/bpyvn+iy9LMTyagc1XO2cLAAAAwFnH8AkAcIZ1fvx+mgcn0tx/\nezpvvVkt3N+fxnXbUwyPpu+TG7tTEAAAAACWAMMnAMAZMvfy99Kc3JfW/YeS2WrnbOtr1qbYvTfF\ntuHUP7aySw0BAAAAYOkwfAIAnEZlu52Zxx5Oc2I8s9/5VuV830WXZGhkLANXXpNajx/lAAAAAOCn\nPFsGAHAadE4cT+vQZKbuui2dN49VC/f1p7HlhpPnbDde0J2CAAAAALDEGT4BALqo98038v7/839l\n+r6DKWemK2Xr5/6jFLtuSrF9JPWVq7rUEAAAAACWB8MnAMACK9vtzBz5Zs79//4qgy+/kFbFfN+F\nn0kxMpbBq7ak1uvHNQAAAAA4FZ5JAwBYIJ0Tx9O6d3+ad92W9rHXM1gl3NuXwT+4PkPDo+n71O92\nqyIAAAAALFunbfj84he/mEOHDv3snzdv3py//uu/Pl2fHgCga+ZfOZrmXbel9bW7U05Xe31nfdXq\nFDtvSmPH59OzanWXGgIAAADA8ndahs977733F0ZPAIClrux0Mvvko5maGM/sk49VzvddcGGKkVsy\nePUfptbX14WGAAAAAHB26frweeLEiXz5y1/u9qcBADgtOs2ptL52d5qT+9J+/dVq4Z6eDF6zNcXI\naPo/fVF3CgIAAADAWarrw+d//I//MT/84Q/T19eXrVu35uDBg93+lAAAC27+9VfSnLwtrXv3p2w1\nK2XfnpvPef/b/5Fix+fTc+6aLjUEgKWhOdPO4W+9m0NPvPMLf/6v/vKFbNu0Olt/b1WKgZ4z1A4A\nAFjKujp8Pvnkk/mbv/mbJMmf/umfpr+/3/AJACwZZVlm9luPpzkxnpkj30zKslL+ueZM/ubN93Po\n3RP5wR/9711qCQBLw/RsO185eCyHnngnrdnOP/j7F19r5cXXXstf3f1Gtm1anS9sX5fBfgMoAABw\n6ro2fM7NzeVLX/pSyrLMhg0b8i//5b/Mf/tv/61bnw4AYMF0Ws1MHz6Yqcl9ab96tFq43pPBz21J\nsWcsf3zDju4UBIAl5r0Tc/nSV17Oi6+1PvBjW7OdfPUbb+XZo1P58hfOz8dXeC9sAADg1HRt+Pyv\n//W/5sUXX0ySfOlLX8rg4GC3PhUAwIKYP/Z6mnfdltY9d6WcOlEpWztnZYode1Lsuik9a9Z2qSEA\nLD3Ts+1THj1/3ouvtfJv//vL+T//+Uav/AQAAE5JV4bP73//+/kv/+W/JEm2b9+eLVu2dOPTAAB8\nZGVZZvbpI2lO7MvMYw9XPmfbe/7vpNgzlsa1N6Q2MNCllgCwdH3l4LHKo+dPvfBqK185eCx/NvKb\nC9wKAABYjhZ8+CzLMl/60pcyOzubFStW5M///M8X+lMAAHxk5fR0WvcfSnNiPPN/93K1cL2egSuv\nzdDIWPouuiS1Wq07JQFgiWvOtHPoiXc+0mMcOvJO/mTbuhQDXvUJAAD8egs+fN566615/PHHkyT/\n+l//6/zjf/yPF/pTAAB8aO03j6V5121pHppMeeJ4pWxtxTkptv/knO3adV1qCADLx+FvvZvWbOcj\nPUZrppP7nno3u69Ys0CtAACA5WpBh88f/ehH+Q//4T8kSS666KL80R/90UI+PADAh1KWZeaeeSpT\nE/sy8+iDSafaE7C9n/jtFCOjaWzZlpr3LQeAU/ZRX+35849j+AQAAD7Igg6f//7f//v8+Mc/Tr1e\nz5e//OX09Jz5MzQnTpzIkSNHznSNZc3/v7A4+dqEJHOzKb7zZFY8+kD6fvh6pWiZWqY/fVFOXLkl\ns5/8naRWS7773Q9dxdckLC6+JuH0ePVHPUk++kn4V99s+rqF08zXHCwuviZh8fF1uTgt2PB5+PDh\nHDhwIEnyR3/0R/nMZz6zUA8NAFBJz/vvZujxh1MceSQ9ralK2c7AYKYuuypTm69Je9W5XWoIAGeH\n2flf//drL/6np/Q4Mx/wOAAAAMkCDZ9TU1P58pe/nCRZu3Zt/s2/+TcL8bALYsWKFfn0pz99pmss\nSz/9rxkuv/zyM9wE+GV8bXK2Kcsyc89+J82J8Uw/8kDSaVfK92z4RIZGRjN43fbUG8WC9/M1CYuD\nn2Hh9CrueibHW7/6e/K6S//4lB5naLA3l19+6ULVAn4N3ythcfE1CYuPr8vue/7553PixIkPlV2Q\n4fM//af/lDfeeCNJ8ud//udZsWLFQjwsAMAHKmdnMv3g4UxNjGf+pReqhWu1DGy6KsXIWPov3ZRa\n7aOf4gMA/t661f05/lprQR4HAADgg3zk4fO73/1u/sf/+B9Jki1btmTHjh0fuRQAwAdpv/1Wmnff\nkdaBr6bz/nuVsrVGkcaNu1Ps3pve9Ru61BAA2LZpdV587bUFeRwAAIAP8pGHz+effz6dTidJcvTo\n0fyTf/JPfuXHHjt27Gf/+7vf/e4vfOxf/MVf5JOf/ORHrQMALGNlWWbu+WdPnrN9+L6kXfGc7W/+\nVorh0TS27ky9WPhztgDAL9r6e6vyV3e/kdZs50M/RmOgnusuXbWArQAAgOVqQU7d/tQPfvCDU/7Y\nqampfPvb3/7ZP7daH/30DQCwPJVzs5l+6L40J/Zl7sXnKuf7L7siQyNj6b9sc2r1ehcaAgC/TDHQ\nk22bVuer33jrQz/GtstXpxjoWcBWAADAcrWgwycAwEJqv/t2WgfuTHP/Hem8906lbK3RSOP6nSl2\nj6Z3w3ldaggAfJAvbF+XZ49O5cUP8V6fF2xo5Avb13WhFQAAsBx95OFz79692bt37yl97H/+z/85\nf/mXf5kk2bx5c/76r//6o356AGAZmnvhuUxNjGf6ocPJ/HylbM+69SfP2d6wK/WhFV1qCACcqsH+\nnnz5C+fnS195udL4ecGGRv7dP/vtDPZ7tScAAHBqvOITAFgUyvn5TH/j/pPnbP/2mcr5/kt/P8XI\naAYuvzK1Hk+QAsBi8vEVffmLf7ExXzl4LIeOvJPWzK9+z8/GQD3bLl+dL2xfZ/QEAAAqMXwCAGdU\n5/130/zpOdt3qr3/V21gMINbt2doeDS9553fpYYAwEIY7O/Jn438Zv5k27rc99S7OfTEO3n1zWZm\n5pOhwd6sW92fbZtW57pLV3lPTwAA4EMxfAIAZ8TcSy+kOTGe1gNfS+ZmK2V71v5GiuG9ady4O/UV\n53SpIQDQDcVAT3ZfsSa7r1iTI0eOJEkuv/zSM9wKAABYDgyfAMBpU7bnM/PNBzN153jmnn26cr7/\n4stSDI9mYPPVztkCAAAAAL/A8AkAdF3n/ffSPDSZ5v7b03nrzWrh/v40rtueYng0fZ/c2J2CAAAA\nAMCSd1qHzy9+8Yv54he/eDo/JQBwBs29/L2T52y/fk8yW+2cbX3N2hS796bYNpz6x1Z2qSEAAAAA\nsFx4xScAsKDKdjszjz2c5sR4Zr/zrcr5vosuydDIWAauvCa1Hj+qAAAAAACnxrOJAMCC6Jw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            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 927,
              "height": 584
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CoAPoGU9vL_R",
        "colab_type": "code",
        "outputId": "d9be5dae-422e-4a4a-f8f5-d454b1db0086",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "from sklearn.linear_model import LinearRegression\n",
        "\n",
        "X, y = create_regression_dataset(auto_df, columns=['horsepower'])\n",
        "\n",
        "reg = LinearRegression()\n",
        "eval_regressor(reg, X, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.5283214994429212"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n5LExp0Tejse",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "reg = LinearRegression().fit(X, y)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RLYbpfIx0eZh",
        "colab_type": "code",
        "outputId": "1a08fd2a-47d7-48f7-ccca-86af1c6440a9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "reg.coef_"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-0.68919551])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3FqaGKpS0myp",
        "colab_type": "code",
        "outputId": "84881d82-e541-459d-b229-974b0e4da3e6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "reg.intercept_"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.101019649075953e-16"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Njl9iUHu1R7K",
        "colab_type": "code",
        "outputId": "bf1e97ec-fbf0-460b-9bf4-6a5577e72fd3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        }
      },
      "source": [
        "y_pred = reg.predict(X)\n",
        "\n",
        "sns.scatterplot(X.horsepower, y)\n",
        "plt.plot(X, y_pred, linewidth=3, color=\"red\");"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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WQLNJj8HugNvj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rngRqyZh8NJJ8Ff/gI7d0Yg8C5iCaV/i3v+ektJTqLI2fXTJED3BxGJbfF2/xUREREREZHwaLFe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            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 962,
              "height": 605
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jj9do0zs3DO2",
        "colab_type": "text"
      },
      "source": [
        "## Multiple Linear Regression"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Yg7TUFUJ3d1T",
        "colab_type": "code",
        "outputId": "34d67e8a-f0de-4390-e543-0f273503e613",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "X, y = create_regression_dataset(auto_df)\n",
        "\n",
        "reg = LinearRegression()\n",
        "eval_regressor(reg, X, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.4351523357394419"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y9BYcx2g5idt",
        "colab_type": "text"
      },
      "source": [
        "## Ridge Regression"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7Y1JTo5F5msY",
        "colab_type": "code",
        "outputId": "87d58c13-8157-4e73-cb55-71f097ee67af",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "from sklearn.linear_model import Ridge\n",
        "\n",
        "X, y = create_regression_dataset(auto_df)\n",
        "\n",
        "reg = Ridge(alpha=0.0005, random_state=RANDOM_SEED)\n",
        "\n",
        "eval_regressor(reg, X, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.4351510356810997"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "si8cnKmJccgn",
        "colab_type": "text"
      },
      "source": [
        "# Logistic Regression"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VFAgF2V7sikC",
        "colab_type": "code",
        "outputId": "51aa304b-2e13-432c-ebb6-abf563fd05e8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 658
        }
      },
      "source": [
        "toy_df = pd.DataFrame.from_dict({\n",
        "  \"horsepower\": [64.5, 310.5, 108.5, 200.5, 375.5, 450.5],\n",
        "  \"is_american\": [False, False, False, True, True, True]\n",
        "})\n",
        "\n",
        "ax = sns.regplot(x=\"horsepower\", y=\"is_american\", data=toy_df,\n",
        "                  logistic=True, n_boot=100)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/statsmodels/genmod/families/family.py:890: RuntimeWarning: invalid value encountered in true_divide\n",
            "  n_endog_mu = self._clean((1. - endog) / (1. - mu))\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
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Ytr62kPtunp9fumNhFrRUT1OFADCzlF1A/PTTT49er1y5MgsXLjxj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\nN6+88koee+yxrF69OrW1tevqxx9/fP7whz/k5ptvTqFQSLFYfM/zigu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NIXmvPVR7Zld0vPoHWL5tXmE3fMztxZE0vYHQAAAABwogmIAQBOEs+/fiB/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\nnDjjLiCeO3dunnzyySTJtm3bh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            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 964,
              "height": 605
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wZvRRqLVbVMD",
        "colab_type": "code",
        "outputId": "d51b1b97-4b77-41e2-ac90-a97cb880877e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 620
        }
      },
      "source": [
        "from scipy.special import expit\n",
        "\n",
        "x = np.linspace(-10, 10, 100)\n",
        "y = expit(x)\n",
        "\n",
        "plt.plot(x, y,'r')\n",
        "plt.title(\"Sigmoid function\");"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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jpaUlt99+e775zW/u9wTtW82ZMycLFy7MySef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\n1wYAAACA3fHpCQAAj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YjkYMi2J8Yf3bDTlYzSkydPhGOFQqHVORUb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\nRERERERERBL8L+RWBivUDb30AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 942,
              "height": 603
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jxmBi8Xocea0",
        "colab_type": "code",
        "outputId": "139284b8-1e71-4d49-9c87-16d2c1df9b91",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "\n",
        "X, y = create_classification_dataset(auto_df)\n",
        "\n",
        "clf = LogisticRegression(solver=\"lbfgs\")\n",
        "eval_classifier(clf, X, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.787948717948718"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n3sOEgBrady-",
        "colab_type": "text"
      },
      "source": [
        "# K-Nearest Neighbors"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1ND6B1bPQ3bg",
        "colab_type": "code",
        "outputId": "ec4b2bfc-476b-46e2-85fe-4ea4086a7521",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 615
        }
      },
      "source": [
        "# heavily based on https://scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html\n",
        "\n",
        "from matplotlib.colors import ListedColormap\n",
        "from sklearn import neighbors, datasets\n",
        "\n",
        "n_neighbors = 3\n",
        "\n",
        "X = np.array([\n",
        "  [1, 6.5],\n",
        "  [2, 8.5],\n",
        "  [2.5, 5.5],\n",
        "  [3.5, 8],\n",
        "  [4, 4],\n",
        "  [5, 3.5],\n",
        "  [7, 8],\n",
        "  [9, 2.5],\n",
        "])\n",
        "\n",
        "y = np.array(\n",
        "    [1, 1, 1, 1, 0, 0, 0, 0]\n",
        ")\n",
        "\n",
        "h = .02\n",
        "\n",
        "cmap_light = ListedColormap(['#FFAAAA', '#AAFFAA', '#AAAAFF'])\n",
        "cmap_bold = ListedColormap(['#FF0000', '#00FF00', '#0000FF'])\n",
        "\n",
        "clf = neighbors.KNeighborsClassifier(n_neighbors, weights='distance')\n",
        "clf.fit(X, y)\n",
        "\n",
        "x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
        "y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
        "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
        "                      np.arange(y_min, y_max, h))\n",
        "Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])\n",
        "\n",
        "Z = Z.reshape(xx.shape)\n",
        "plt.figure()\n",
        "plt.pcolormesh(xx, yy, Z, cmap=cmap_light)\n",
        "\n",
        "plt.scatter(X[:, 0], X[:, 1], c=y, cmap=cmap_bold,\n",
        "            edgecolor='w', s=192)\n",
        "plt.xlim(xx.min(), xx.max())\n",
        "plt.ylim(yy.min(), yy.max())\n",
        "plt.title(f'Car Model Origin Classification ({n_neighbors} neighbors)')\n",
        "plt.xlabel(\"Horsepower\")\n",
        "plt.ylabel(\"Weight\")\n",
        "plt.xticks([])\n",
        "plt.yticks([])\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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2xMz6op6td4u7u7ure/fujupShqyzKDZu3GgK3EVGRhoB3AIFCqh9+/bZavve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\nlavdtWuXJkyYYPPzt2zZohk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g0WL16cxYsXt/vzNPbBBx+0+vrG/H0BAAB0JPcABQAA6GTV1dWl4+7du7f7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\nAAAAQGEIQAEAAAAAAIDC+D/yQkgyZpMn7wAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 928,
              "height": 598
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QJmGvjd7ahRZ",
        "colab_type": "code",
        "outputId": "d4d32c1e-bcfa-4dc8-fc9f-9f09d53095c1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "\n",
        "X, y = create_classification_dataset(auto_df)\n",
        "\n",
        "clf = KNeighborsClassifier(n_neighbors=24)\n",
        "eval_classifier(clf, X, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.8008333333333335"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WUeUjzLAawt4",
        "colab_type": "text"
      },
      "source": [
        "# Naive Bayes"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JXsjAMHpCimr",
        "colab_type": "code",
        "outputId": "1044ecd4-ae92-4487-c279-2c0831d3c9c9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 641
        }
      },
      "source": [
        "# heavily based on https://jakevdp.github.io/PythonDataScienceHandbook/05.05-naive-bayes.html\n",
        "\n",
        "X = np.array([\n",
        "  [1, 6.5],\n",
        "  [2, 8.5],\n",
        "  [2.5, 5.5],\n",
        "  [3.5, 8],\n",
        "  [4, 4],\n",
        "  [5, 3.5],\n",
        "  [7, 8],\n",
        "  [9, 2.5],\n",
        "])\n",
        "\n",
        "y = np.array(\n",
        "    [1, 1, 1, 1, 0, 0, 0, 0]\n",
        ")\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "\n",
        "american_mask = y == 1\n",
        "non_american_mask = y == 0\n",
        "\n",
        "ax.scatter(X[:, 0][american_mask], X[:, 1][american_mask], c=\"#e74c3c\",  s=248, label=\"American\", edgecolors='k')\n",
        "ax.scatter(X[:, 0][non_american_mask], X[:, 1][non_american_mask], c=\"#3498db\",  s=248, label=\"Non-American\", edgecolors='k')\n",
        "\n",
        "ax.set_title('Car Model Origin Classification')\n",
        "\n",
        "xlim = (-5, 15)\n",
        "ylim = (-5, 15)\n",
        "\n",
        "xg = np.linspace(xlim[0], xlim[1], 60)\n",
        "yg = np.linspace(ylim[0], ylim[1], 40)\n",
        "xx, yy = np.meshgrid(xg, yg)\n",
        "Xgrid = np.vstack([xx.ravel(), yy.ravel()]).T\n",
        "\n",
        "for label, color in enumerate(['blue', 'red']):\n",
        "    mask = (y == label)\n",
        "    mu, std = X[mask].mean(0), X[mask].std(0)\n",
        "    P = np.exp(-0.5 * (Xgrid - mu) ** 2 / std ** 2).prod(1)\n",
        "    Pm = np.ma.masked_array(P, P < 0.03)\n",
        "    ax.pcolorfast(xg, yg, Pm.reshape(xx.shape), alpha=0.5,\n",
        "                  cmap=color.title() + 's')\n",
        "    ax.contour(xx, yy, P.reshape(xx.shape),\n",
        "               levels=[0.01, 0.1, 0.5, 0.9],\n",
        "               colors=color, alpha=0.2)\n",
        "    \n",
        "ax.set(xlim=xlim, ylim=ylim)\n",
        "ax.set_xlabel(\"Horsepower\")\n",
        "ax.set_ylabel(\"Weight\")\n",
        "ax.legend();"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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PnlR7H1euXBG2C1PxluX169dqH4em2dvbC7Mn37x5I6TqdnNzKzZ7VVWKM5hl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\nY2Ph4+ODa9euITIyEsnJydDR0YG1tTW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OyGV7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\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            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 995,
              "height": 624
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sdfCxdL1WLTa",
        "colab_type": "code",
        "outputId": "8384ea14-eb43-4b9d-d450-322e74ce8ac4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "from sklearn.naive_bayes import GaussianNB\n",
        "\n",
        "X, y = create_classification_dataset(auto_df)\n",
        "\n",
        "clf = GaussianNB()\n",
        "eval_classifier(clf, X, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.7597435897435898"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VduSidKXOEgT",
        "colab_type": "text"
      },
      "source": [
        "# Decision Trees"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tjdgynOIGKzP",
        "colab_type": "code",
        "outputId": "ba6e928a-1205-4484-cfc5-a4aab691cace",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 683
        }
      },
      "source": [
        "from sklearn.tree import DecisionTreeClassifier, plot_tree\n",
        "\n",
        "X = np.array([\n",
        "  [33, 115.5],\n",
        "  [20, 90.5],\n",
        "  [8.5, 55.5],\n",
        "  [12.5, 88],\n",
        "  [8, 145],\n",
        "  [4, 332.5],\n",
        "  [22, 282],\n",
        "  [9, 99.5],\n",
        "])\n",
        "\n",
        "X = pd.DataFrame(X, columns=['weight', 'horsepower'])\n",
        "\n",
        "y = np.array(\n",
        "    [1, 1, 1, 1, 0, 0, 0, 0]\n",
        ")\n",
        "\n",
        "clf = DecisionTreeClassifier().fit(X, y)\n",
        "\n",
        "fix, ax = plt.subplots(figsize=(16, 10))\n",
        "plot_tree(clf, filled=True, feature_names=X.columns, class_names=['non-american', 'american'])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Text(357.12, 453.0, 'horsepower <= 95.0\\ngini = 0.5\\nsamples = 8\\nvalue = [4, 4]\\nclass = non-american'),\n",
              " Text(178.56, 271.8, 'gini = 0.0\\nsamples = 3\\nvalue = [0, 3]\\nclass = american'),\n",
              " Text(535.6800000000001, 271.8, 'weight <= 27.5\\ngini = 0.32\\nsamples = 5\\nvalue = [4, 1]\\nclass = non-american'),\n",
              " Text(357.12, 90.59999999999997, 'gini = 0.0\\nsamples = 4\\nvalue = [4, 0]\\nclass = non-american'),\n",
              " Text(714.24, 90.59999999999997, 'gini = 0.0\\nsamples = 1\\nvalue = [0, 1]\\nclass = american')]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        },
        {
          "output_type": "display_data",
          "data": {
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gUkTkpI3evBwSMADj4NIQsKgyygBSRy61uMVkasVWVNfGlqK5VK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GYTap8RuO5fANn5oJheuQHhP38dVqQh7WOa4TOILv9faJXvd/g3Stk01+rw2MpfwKg9nNI8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\n",
            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 943,
              "height": 576
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9HyKoCJhziWI",
        "colab_type": "code",
        "outputId": "ddd28e74-a01a-42e7-edbb-c9348afe8beb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "from sklearn.tree import DecisionTreeRegressor\n",
        "\n",
        "X, y = create_regression_dataset(auto_df)\n",
        "\n",
        "reg = DecisionTreeRegressor()\n",
        "eval_regressor(reg, X, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6739687671968857"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bjG3ZeNMOJFv",
        "colab_type": "code",
        "outputId": "a13238ff-de58-49f0-b1d6-a5275ca746e9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "from sklearn.ensemble import RandomForestRegressor\n",
        "\n",
        "X, y = create_regression_dataset(auto_df)\n",
        "\n",
        "reg = RandomForestRegressor(n_estimators=50)\n",
        "eval_regressor(reg, X, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.3954286721482007"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0Xo7dc53lUDv",
        "colab_type": "code",
        "outputId": "5bd61f78-de7a-404e-f112-5daf14e39b3f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "from sklearn.ensemble import GradientBoostingRegressor\n",
        "\n",
        "X, y = create_regression_dataset(auto_df)\n",
        "\n",
        "reg = GradientBoostingRegressor(n_estimators=100)\n",
        "eval_regressor(reg, X, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.3774890120977956"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d5ijQqfqUGDn",
        "colab_type": "text"
      },
      "source": [
        "# Support Vector Machines"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mDyfuDwFa04P",
        "colab_type": "code",
        "outputId": "48f4ed8e-d305-45ec-cba6-a57fbf007bd1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 615
        }
      },
      "source": [
        "from sklearn.svm import SVC\n",
        "\n",
        "\n",
        "def make_meshgrid(x, y, h=.02):\n",
        "    x_min, x_max = x.min() - 1, x.max() + 1\n",
        "    y_min, y_max = y.min() - 1, y.max() + 1\n",
        "    xx, yy = np.meshgrid(np.arange(x_min, x_max, h), np.arange(y_min, y_max, h))\n",
        "    return xx, yy\n",
        "\n",
        "def plot_contours(ax, clf, xx, yy, **params):\n",
        "    Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])\n",
        "    Z = Z.reshape(xx.shape)\n",
        "    return ax.contourf(xx, yy, Z, **params)\n",
        "\n",
        "def plot_decision_boundary(ax, clf, X, y, kernel):\n",
        "  X0, X1 = X[:, 0], X[:, 1]\n",
        "  xx, yy = make_meshgrid(X0, X1)\n",
        "\n",
        "  american_mask = y == 1\n",
        "  non_american_mask = y == 0\n",
        "\n",
        "  plot_contours(ax, clf, xx, yy, cmap=plt.cm.RdYlBu, alpha=0.8)\n",
        "  ax.scatter(X0[american_mask], X1[american_mask], c=\"#e74c3c\",  s=192, label=\"American\", edgecolors='white')\n",
        "  ax.scatter(X0[non_american_mask], X1[non_american_mask], c=\"#3498db\",  s=192, label=\"Non-American\", edgecolors='white')\n",
        "  ax.set_ylabel('Weight')\n",
        "  ax.set_xlabel('Horsepower')\n",
        "  ax.set_title(f'Car Model Origin Classification ({kernel} Kernel)')\n",
        "  ax.set_xticks([])\n",
        "  ax.set_yticks([])\n",
        "  ax.legend();\n",
        "\n",
        "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(22, 10))\n",
        "\n",
        "X = np.array([\n",
        "  [1, 6.5],\n",
        "  [2, 8.5],\n",
        "  [2.5, 5.5],\n",
        "  [3.5, 8],\n",
        "  [4, 4],\n",
        "  [5, 3.5],\n",
        "  [7, 8],\n",
        "  [9, 2.5],\n",
        "])\n",
        "\n",
        "y = np.array(\n",
        "    [1, 1, 1, 1, 0, 0, 0, 0]\n",
        ")\n",
        "\n",
        "clf = SVC(kernel='linear', gamma='scale').fit(X, y)\n",
        "\n",
        "plot_decision_boundary(ax1, clf, X, y, kernel=\"Linear\")\n",
        "\n",
        "X = np.array([\n",
        "  [1, 6.5],\n",
        "  [2, 8.5],\n",
        "  [2.5, 5.5],\n",
        "  [3.5, 8],\n",
        "  [6, 5.5],\n",
        "  [4, 4],\n",
        "  [5, 3.5],\n",
        "  [7, 8],\n",
        "  [9, 2.5],\n",
        "])\n",
        "\n",
        "y = np.array(\n",
        "    [1, 1, 1, 1, 1, 0, 0, 0, 0]\n",
        ")\n",
        "\n",
        "clf = SVC(kernel='rbf', gamma='scale', C=2.5).fit(X, y)\n",
        "\n",
        "plot_decision_boundary(ax2, clf, X, y, kernel=\"RBF\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ISn8u67OVSUlJwbFjx3D9+nUkJCTg48ePsLa2RuvWrTF06FD06NEDPB6Pc9myjrvyxo8f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\nL424Y2Vlyh+f0q7DklOBtW3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            "text/plain": [
              "<Figure size 1584x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 1262,
              "height": 598
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7s4YO29qVohc",
        "colab_type": "code",
        "outputId": "3bf01c25-d640-413d-8ef9-f8d72ab4b422",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 641
        }
      },
      "source": [
        "from sklearn import svm\n",
        "\n",
        "def plot_decision_boundary(clf, X, y, ax, kernel):\n",
        "\n",
        "  american_mask = y == 1\n",
        "  non_american_mask = y == 0\n",
        "\n",
        "  ax.scatter(X[:, 0][american_mask], X[:, 1][american_mask], c=\"#e74c3c\", label=\"american\", s=92, cmap=plt.cm.Paired)\n",
        "  ax.scatter(X[:, 0][non_american_mask], X[:, 1][non_american_mask], c=\"#3498db\", label=\"non american\", s=92, cmap=plt.cm.Paired)\n",
        "\n",
        "  xlim = ax.get_xlim()\n",
        "  ylim = ax.get_ylim()\n",
        "\n",
        "  xx = np.linspace(xlim[0], xlim[1], 30)\n",
        "  yy = np.linspace(ylim[0], ylim[1], 30)\n",
        "  YY, XX = np.meshgrid(yy, xx)\n",
        "  xy = np.vstack([XX.ravel(), YY.ravel()]).T\n",
        "  Z = clf.decision_function(xy).reshape(XX.shape)\n",
        "\n",
        "  ax.contour(XX, YY, Z, colors='k', levels=[-1, 0, 1], alpha=0.5,\n",
        "            linestyles=['--', '-', '--'])\n",
        "\n",
        "  ax.scatter(clf.support_vectors_[:, 0], clf.support_vectors_[:, 1], s=192,\n",
        "            linewidth=1, facecolors='none', edgecolors='k')\n",
        "  ax.set_ylabel('Weight')\n",
        "  ax.set_xlabel('Horsepower')\n",
        "  ax.set_title(f'Car Model Origin Classification ({kernel} Kernel)')\n",
        "  ax.legend()\n",
        "\n",
        "\n",
        "X = np.array([\n",
        "  [1, 6.5],\n",
        "  [2, 8.5],\n",
        "  [2.5, 5.5],\n",
        "  [3.5, 8],\n",
        "  [4, 4],\n",
        "  [5, 3.5],\n",
        "  [7, 8],\n",
        "  [9, 2.5],\n",
        "])\n",
        "\n",
        "y = np.array(\n",
        "    [1, 1, 1, 1, 0, 0, 0, 0]\n",
        ")\n",
        "\n",
        "clf = svm.SVC(kernel='linear', C=1000).fit(X, y)\n",
        "\n",
        "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(22, 10))\n",
        "\n",
        "\n",
        "plot_decision_boundary(clf, X, y, ax1, \"Linear\")\n",
        "\n",
        "X = np.array([\n",
        "  [1, 6.5],\n",
        "  [2, 8.5],\n",
        "  [2.5, 5.5],\n",
        "  [3.5, 8],\n",
        "  [6, 5.5],\n",
        "  [4, 4],\n",
        "  [5, 3.5],\n",
        "  [7, 8],\n",
        "  [9, 2.5],\n",
        "])\n",
        "\n",
        "y = np.array(\n",
        "    [1, 1, 1, 1, 1, 0, 0, 0, 0]\n",
        ")\n",
        "\n",
        "clf = SVC(kernel='rbf', gamma='scale', C=2.5).fit(X, y)\n",
        "\n",
        "plot_decision_boundary(clf, X, y, ax2, \"RBF\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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OV/elfbYsiYmJOHr0KK5du4bY2Fh8/PgRlpaWaNWqFYYMGYLu3btDIBDwXnZp+11x48aN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W1pbeeecdSVJGRoY1djghISHoPtNsbm7uOgFwdnZWjx8/1vLysgoLC/XFL35x1/MTEhKe2xiY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\nvd2qKysrFRUVZTARII2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627ZtCgkJMVgDIFC5XK5FpwaeOXNGc3NzBosAAMGO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\nIiL0iU98QkePHmXbDBjX3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            "text/plain": [
              "<Figure size 1584x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 1283,
              "height": 624
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FvydDyJvUJkx",
        "colab_type": "code",
        "outputId": "84f6fd69-c90e-43c3-cd77-20ebe1c3ba78",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "from sklearn.svm import SVR\n",
        "\n",
        "X, y = create_regression_dataset(auto_df)\n",
        "\n",
        "reg = SVR(gamma=\"auto\", kernel=\"rbf\", C=4.5)\n",
        "eval_regressor(reg, X, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.32820308689067834"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    }
  ]
}