TimeSeries_ANN_Baseline.ipynb

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      "display_name": "Python 3.7 (tensorflow)",
      "language": "python",
      "name": "tensorflow"
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    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
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      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.7"
    },
    "colab": {
      "name": "TimeSeries ANN Baseline.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z7Fex6Om3q64",
        "colab_type": "text"
      },
      "source": [
        "# Imports"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "12iNu5Se0Jmc",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "try:\n",
        "  %tensorflow_version 2.x\n",
        "except Exception:\n",
        "  pass"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ibsdqWPN0VKB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# general array and data handling\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "# tensor operations and neural networks\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "from tensorflow.keras.preprocessing.sequence import TimeseriesGenerator\n",
        "from tensorflow.keras.models import Model\n",
        "from tensorflow.keras.layers import Input, LSTM, Dense, Dropout, LeakyReLU, Flatten\n",
        "\n",
        "# Ploting\n",
        "import matplotlib.pyplot as plt\n",
        "% matplotlib inline"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mLO2LgzxF39a",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#from google.colab import drive\n",
        "#drive.mount('/content/drive')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JKJiLrjs3wom",
        "colab_type": "text"
      },
      "source": [
        "# Data Loading"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6J6FkV8vdX7K",
        "colab_type": "code",
        "outputId": "b63fce66-673c-4027-dd77-eda2045f1b2a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        }
      },
      "source": [
        "!git clone https://github.com/grudloff/stock_market_GAN.git"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "fatal: destination path 'stock_market_GAN' already exists and is not an empty directory.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "50QX1kqB0VKN",
        "colab_type": "code",
        "outputId": "9d817d0b-59e6-4749-fa42-b45fcb74a503",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        }
      },
      "source": [
        "data_names = [\"S&P500\",\"SSE\",\"IBM\",\"MSFT\",\"PAICC\"]\n",
        "data_name = data_names[0]\n",
        "data_path=\"stock_market_GAN/datasets/\"+data_name+\".csv\"\n",
        "print(data_path)\n",
        "dataframe = pd.read_csv(data_path)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "stock_market_GAN/datasets/S&P500.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uxjrwBUS0VKi",
        "colab_type": "code",
        "outputId": "7f554a6e-db34-42b8-9647-dcda44a6ce2a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 277
        }
      },
      "source": [
        "dataframe.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Adj Close</th>\n",
              "      <th>Volume</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>5031.000000</td>\n",
              "      <td>5031.000000</td>\n",
              "      <td>5031.000000</td>\n",
              "      <td>5031.000000</td>\n",
              "      <td>5031.000000</td>\n",
              "      <td>5.031000e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1495.419580</td>\n",
              "      <td>1504.207347</td>\n",
              "      <td>1485.896934</td>\n",
              "      <td>1495.566086</td>\n",
              "      <td>1495.566086</td>\n",
              "      <td>2.954812e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>499.462791</td>\n",
              "      <td>499.894439</td>\n",
              "      <td>498.801221</td>\n",
              "      <td>499.378368</td>\n",
              "      <td>499.378368</td>\n",
              "      <td>1.545804e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>679.280029</td>\n",
              "      <td>695.270020</td>\n",
              "      <td>666.789978</td>\n",
              "      <td>676.530029</td>\n",
              "      <td>676.530029</td>\n",
              "      <td>3.121200e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1151.739990</td>\n",
              "      <td>1159.934998</td>\n",
              "      <td>1142.179993</td>\n",
              "      <td>1151.629944</td>\n",
              "      <td>1151.629944</td>\n",
              "      <td>1.488865e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>1334.369995</td>\n",
              "      <td>1343.319946</td>\n",
              "      <td>1325.689941</td>\n",
              "      <td>1334.219971</td>\n",
              "      <td>1334.219971</td>\n",
              "      <td>3.078530e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1806.269959</td>\n",
              "      <td>1810.450012</td>\n",
              "      <td>1800.674988</td>\n",
              "      <td>1805.450012</td>\n",
              "      <td>1805.450012</td>\n",
              "      <td>3.886925e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2936.760010</td>\n",
              "      <td>2940.909912</td>\n",
              "      <td>2927.110107</td>\n",
              "      <td>2930.750000</td>\n",
              "      <td>2930.750000</td>\n",
              "      <td>1.145623e+10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              Open         High  ...    Adj Close        Volume\n",
              "count  5031.000000  5031.000000  ...  5031.000000  5.031000e+03\n",
              "mean   1495.419580  1504.207347  ...  1495.566086  2.954812e+09\n",
              "std     499.462791   499.894439  ...   499.378368  1.545804e+09\n",
              "min     679.280029   695.270020  ...   676.530029  3.121200e+08\n",
              "25%    1151.739990  1159.934998  ...  1151.629944  1.488865e+09\n",
              "50%    1334.369995  1343.319946  ...  1334.219971  3.078530e+09\n",
              "75%    1806.269959  1810.450012  ...  1805.450012  3.886925e+09\n",
              "max    2936.760010  2940.909912  ...  2930.750000  1.145623e+10\n",
              "\n",
              "[8 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vH78SdTkqSdE",
        "colab_type": "code",
        "outputId": "a94aff9a-b4a7-474a-8146-1121ecf0aec2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        }
      },
      "source": [
        "dataframe.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(5031, 7)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sW-K0R3eoZJA",
        "colab_type": "code",
        "outputId": "b1941b54-36f6-479d-ca5a-e97340907fa4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 191
        }
      },
      "source": [
        "def add_Ma(dataframe):\n",
        "  Ma_window=5\n",
        "  for i in range(0,dataframe.shape[0]-Ma_window):\n",
        "    dataframe.loc[dataframe.index[i+Ma_window],'Ma'] = np.round(((dataframe.iloc[i,4]+ dataframe.iloc[i+1,4] +dataframe.iloc[i+2,4] + dataframe.iloc[i+3,4]+ dataframe.iloc[i+4,4])/5),6)\n",
        "  return dataframe[5:-5]\n",
        "\n",
        "dataframe=add_Ma(dataframe)\n",
        "dataframe.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>Date</th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Adj Close</th>\n",
              "      <th>Volume</th>\n",
              "      <th>Ma</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1999-01-11</td>\n",
              "      <td>1275.089966</td>\n",
              "      <td>1276.219971</td>\n",
              "      <td>1253.339966</td>\n",
              "      <td>1263.880005</td>\n",
              "      <td>1263.880005</td>\n",
              "      <td>818000000</td>\n",
              "      <td>1258.007983</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>1999-01-12</td>\n",
              "      <td>1263.880005</td>\n",
              "      <td>1264.449951</td>\n",
              "      <td>1238.290039</td>\n",
              "      <td>1239.510010</td>\n",
              "      <td>1239.510010</td>\n",
              "      <td>800200000</td>\n",
              "      <td>1265.163989</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>1999-01-13</td>\n",
              "      <td>1239.510010</td>\n",
              "      <td>1247.750000</td>\n",
              "      <td>1205.459961</td>\n",
              "      <td>1234.400024</td>\n",
              "      <td>1234.400024</td>\n",
              "      <td>931500000</td>\n",
              "      <td>1264.109985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>1999-01-14</td>\n",
              "      <td>1234.400024</td>\n",
              "      <td>1236.810059</td>\n",
              "      <td>1209.540039</td>\n",
              "      <td>1212.189941</td>\n",
              "      <td>1212.189941</td>\n",
              "      <td>797200000</td>\n",
              "      <td>1256.521997</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>1999-01-15</td>\n",
              "      <td>1212.189941</td>\n",
              "      <td>1243.260010</td>\n",
              "      <td>1212.189941</td>\n",
              "      <td>1243.260010</td>\n",
              "      <td>1243.260010</td>\n",
              "      <td>798100000</td>\n",
              "      <td>1245.013989</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Date         Open         High  ...    Adj Close     Volume           Ma\n",
              "5  1999-01-11  1275.089966  1276.219971  ...  1263.880005  818000000  1258.007983\n",
              "6  1999-01-12  1263.880005  1264.449951  ...  1239.510010  800200000  1265.163989\n",
              "7  1999-01-13  1239.510010  1247.750000  ...  1234.400024  931500000  1264.109985\n",
              "8  1999-01-14  1234.400024  1236.810059  ...  1212.189941  797200000  1256.521997\n",
              "9  1999-01-15  1212.189941  1243.260010  ...  1243.260010  798100000  1245.013989\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u-EBh-WxkuWA",
        "colab_type": "code",
        "outputId": "972ba4a3-1db2-4b10-ea8a-ceb01fbecf13",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "def plot_dataframe(dataframe):\n",
        "\n",
        "  for column_name in dataframe.columns:\n",
        "    plt.figure()\n",
        "    plt.title(column_name)\n",
        "    plt.plot(dataframe[column_name])\n",
        "\n",
        "plot_dataframe(dataframe)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z61d12GB32zl",
        "colab_type": "text"
      },
      "source": [
        "# Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Eq87fNjT5Yw-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "class Standarized_TimeseriesGenerator(tf.keras.preprocessing.sequence.TimeseriesGenerator):\n",
        "  def __getitem__(self, index):\n",
        "    samples, targets  = super(Standarized_TimeseriesGenerator, self).__getitem__(index)\n",
        "    # shape : (n_batch, n_sequence, n_features)\n",
        "    mean = samples.mean(axis=1)\n",
        "    std = samples.std(axis=1)\n",
        "    std[std==0] = 1\n",
        "    samples = (samples - mean[:,None,:])/std[:,None,:] #standarize along each feature\n",
        "    targets = (targets - mean[:,3:4])/std[:,3:4] # The close value is our target\n",
        "    return samples, targets"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J3aWdGpVz5QC",
        "colab_type": "code",
        "outputId": "8893a8f3-2b80-4751-a059-6a98ed7e1323",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 212
        }
      },
      "source": [
        "# TimeseriesGenerator Check\n",
        "\n",
        "data = np.array([[i, i**2,i**3,i**4] for i in range(11)])\n",
        "targets = np.array([[i**4] for i in range(11)])\n",
        "\n",
        "print(targets.shape)\n",
        "\n",
        "mean = data[:-1].mean(axis=0)[None,:]\n",
        "std = data[:-1].std(axis=0)[None,:]\n",
        "\n",
        "data_gen = Standarized_TimeseriesGenerator(data, targets,\n",
        "                               length=10, sampling_rate=1,\n",
        "                               batch_size=2)\n",
        "batch_0 = data_gen[0]\n",
        "x, y = batch_0\n",
        "\n",
        "print(np.array(x*std+mean,dtype = np.int))\n",
        "print(y*std[..., 3]+mean[..., 3])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(11, 1)\n",
            "[[[   0    0    0    0]\n",
            "  [   1    1    1    1]\n",
            "  [   2    4    8   16]\n",
            "  [   3    9   27   81]\n",
            "  [   4   16   64  256]\n",
            "  [   5   25  125  625]\n",
            "  [   6   36  216 1296]\n",
            "  [   7   49  343 2401]\n",
            "  [   8   64  512 4096]\n",
            "  [   9   81  729 6561]]]\n",
            "[[10000.]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TgvqTAKYcLUq",
        "colab_type": "code",
        "outputId": "514cd410-155f-4cee-f2a0-365292b7e03e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        }
      },
      "source": [
        "data.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(11, 4)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Uj1Bst2_pn1y",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Generarate 5 days sequences from all data\n",
        "# TODO: How to deal with weekend lack of information?\n",
        "\n",
        "n_sequence = 5\n",
        "n_batch = 128\n",
        "n_features = 7\n",
        "\n",
        "def get_gen_train_test(dataframe):\n",
        "  data = dataframe.drop(columns='Date').to_numpy()\n",
        "  targets = data[:,3, None] #add none to have same number of dimensions as data\n",
        "  #targets = data\n",
        "  n_samples = data.shape[0]\n",
        "\n",
        "  train_test_split=int(n_samples*0.9)\n",
        "\n",
        "  data_gen_train = Standarized_TimeseriesGenerator(data, targets,\n",
        "                                length=n_sequence, sampling_rate=1,\n",
        "                                stride=1, batch_size=n_batch,\n",
        "                                start_index = 0,\n",
        "                                end_index = train_test_split,\n",
        "                                shuffle = True)\n",
        "  data_gen_test = Standarized_TimeseriesGenerator(data, targets,\n",
        "                                length=n_sequence, sampling_rate=1,\n",
        "                                stride=1, batch_size=n_batch,\n",
        "                                start_index = train_test_split,\n",
        "                                end_index = n_samples-1)\n",
        "  \n",
        "  return data_gen_train, data_gen_test\n",
        "\n",
        "data_gen_train, data_gen_test = get_gen_train_test(dataframe)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q7gY6rwkrOGG",
        "colab_type": "code",
        "outputId": "632acd80-a2c4-4057-958b-9d8b48c02b7a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "data_gen_train[0]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([[[ 1.6712912 ,  1.85502952,  1.61534934, ...,  1.72397052,\n",
              "          -1.59549392,  1.21328069],\n",
              "         [ 0.58792567, -0.24746246, -0.27151286, ..., -0.80766925,\n",
              "           1.15901618,  0.87383526],\n",
              "         [-0.63064956, -0.35605536, -0.32380062, ..., -0.74622125,\n",
              "          -0.30943109,  0.12835121],\n",
              "         [-1.07628987, -1.16784055, -1.42975807, ..., -0.71918757,\n",
              "          -0.2341465 , -0.72449705],\n",
              "         [-0.55227744, -0.08367114,  0.40972221, ...,  0.54910756,\n",
              "           0.98005533, -1.49097012]],\n",
              " \n",
              "        [[ 0.29243095,  0.17755632,  1.44553732, ...,  0.74748174,\n",
              "          -0.6573422 ,  1.42632141],\n",
              "         [ 0.61032243, -0.11837491, -0.84108527, ..., -1.26861896,\n",
              "           0.0454765 ,  0.82377494],\n",
              "         [-1.3995978 , -1.83692152, -1.36414084, ..., -0.72792507,\n",
              "          -0.2898553 , -0.12137593],\n",
              "         [-0.86056144,  0.88937043,  0.21620812, ...,  1.49686244,\n",
              "           1.87831744, -1.12156449],\n",
              "         [ 1.35740586,  0.88836969,  0.54348067, ..., -0.24780015,\n",
              "          -0.97659645, -1.00715593]],\n",
              " \n",
              "        [[-1.45917095, -1.69516463, -1.41484918, ..., -1.59402592,\n",
              "           1.00103948, -1.0573659 ],\n",
              "         [-0.73863356, -0.52076379, -0.67577283, ..., -0.6589837 ,\n",
              "           0.7477897 , -0.96160276],\n",
              "         [ 0.08314555,  0.37119008, -0.10820721, ...,  0.60297729,\n",
              "           0.6610433 , -0.2523156 ],\n",
              "         [ 1.26035187,  0.833178  ,  1.33647905, ...,  0.43775855,\n",
              "          -1.42630653,  0.73924068],\n",
              "         [ 0.85430709,  1.01156033,  0.86235018, ...,  1.21227377,\n",
              "          -0.98356595,  1.53204358]],\n",
              " \n",
              "        ...,\n",
              " \n",
              "        [[ 0.70304452,  1.17489355,  1.33833034, ...,  1.5006218 ,\n",
              "          -1.0227545 , -1.62144772],\n",
              "         [ 1.334461  ,  0.97024381,  0.41684908, ...,  0.27981022,\n",
              "           0.02522924, -0.5653424 ],\n",
              "         [-0.26879716,  0.05363888,  0.55090946, ...,  0.37284857,\n",
              "          -1.13434537,  0.1801977 ],\n",
              "         [-0.14661246, -0.74017613, -0.96253914, ..., -0.75066809,\n",
              "           1.50987287,  0.95029867],\n",
              "         [-1.6220959 , -1.4586001 , -1.34354974, ..., -1.4026125 ,\n",
              "           0.62199776,  1.05629375]],\n",
              " \n",
              "        [[-0.65093835,  0.71807045,  0.07454162, ...,  0.90002329,\n",
              "           1.78062319, -0.25077495],\n",
              "         [ 0.94434947,  0.9534243 ,  1.24536923, ...,  0.94293754,\n",
              "          -0.54543633, -1.16622723],\n",
              "         [ 0.96903683,  0.54398181,  0.91275655, ...,  0.35098764,\n",
              "          -0.62019161, -0.82381341],\n",
              "         [ 0.35583314, -0.46537058, -1.35920471, ..., -1.71783236,\n",
              "           0.38464868,  0.68010664],\n",
              "         [-1.6182811 , -1.75010598, -0.87346269, ..., -0.47611609,\n",
              "          -0.99964394,  1.56070894]],\n",
              " \n",
              "        [[ 0.13821378,  1.60046813,  0.41395297, ...,  1.17933411,\n",
              "           1.83708096, -0.63421488],\n",
              "         [ 1.17269551,  0.46880528,  1.15362285, ...,  0.65032441,\n",
              "          -0.66420343,  0.72966427],\n",
              "         [ 0.66866562, -0.56461429, -0.94356478, ..., -1.54131469,\n",
              "           0.29688981,  1.44690096],\n",
              "         [-1.76412913, -1.37198048, -1.41036518, ..., -0.76426351,\n",
              "          -0.64623893, -0.14570861],\n",
              "         [-0.21544578, -0.13267863,  0.78635414, ...,  0.47591968,\n",
              "          -0.82352841, -1.39664174]]]), array([[-3.02471786],\n",
              "        [ 0.6088411 ],\n",
              "        [ 1.59777917],\n",
              "        [ 1.5985013 ],\n",
              "        [ 1.40926374],\n",
              "        [-3.14365009],\n",
              "        [ 1.10925768],\n",
              "        [ 1.11469109],\n",
              "        [ 1.27758607],\n",
              "        [ 2.49911999],\n",
              "        [ 1.50553843],\n",
              "        [-0.39376219],\n",
              "        [-3.3049414 ],\n",
              "        [ 0.08723209],\n",
              "        [ 0.36567898],\n",
              "        [ 1.17741922],\n",
              "        [ 1.31128732],\n",
              "        [-2.20591533],\n",
              "        [ 2.06433127],\n",
              "        [-0.40074029],\n",
              "        [ 1.99578735],\n",
              "        [ 2.34640118],\n",
              "        [ 1.42187263],\n",
              "        [-2.30564196],\n",
              "        [-1.61945355],\n",
              "        [-1.93902065],\n",
              "        [ 2.45685912],\n",
              "        [-1.23206519],\n",
              "        [-2.37774716],\n",
              "        [ 0.58928612],\n",
              "        [-1.0422186 ],\n",
              "        [ 1.58209511],\n",
              "        [-0.48141983],\n",
              "        [ 0.73625457],\n",
              "        [-2.43655356],\n",
              "        [-1.44104643],\n",
              "        [-0.38358298],\n",
              "        [-6.93366171],\n",
              "        [-4.42311717],\n",
              "        [-0.88537069],\n",
              "        [-0.64477885],\n",
              "        [ 3.44669918],\n",
              "        [ 1.38535511],\n",
              "        [-0.69105233],\n",
              "        [-1.55516872],\n",
              "        [ 1.492268  ],\n",
              "        [ 1.92398764],\n",
              "        [-1.81031453],\n",
              "        [-0.49100996],\n",
              "        [-0.5752777 ],\n",
              "        [ 2.08249248],\n",
              "        [ 0.9063093 ],\n",
              "        [-4.08622199],\n",
              "        [ 4.54337375],\n",
              "        [-0.99950568],\n",
              "        [-1.69251113],\n",
              "        [-2.14287228],\n",
              "        [ 1.81771694],\n",
              "        [ 2.70142215],\n",
              "        [-0.38440835],\n",
              "        [ 0.57425929],\n",
              "        [-0.11237944],\n",
              "        [ 1.25870363],\n",
              "        [-2.9060712 ],\n",
              "        [-3.08866017],\n",
              "        [ 3.2984357 ],\n",
              "        [-2.30525691],\n",
              "        [-0.04665263],\n",
              "        [ 1.00628752],\n",
              "        [-0.59814768],\n",
              "        [-1.33372456],\n",
              "        [ 2.19244635],\n",
              "        [-1.02675119],\n",
              "        [ 0.78419111],\n",
              "        [ 0.78634217],\n",
              "        [-0.15787735],\n",
              "        [16.34336597],\n",
              "        [-0.21807592],\n",
              "        [ 3.45752969],\n",
              "        [ 0.34121807],\n",
              "        [ 2.23022257],\n",
              "        [ 7.62264824],\n",
              "        [-1.93732244],\n",
              "        [-0.08894081],\n",
              "        [ 1.76367664],\n",
              "        [ 1.07775713],\n",
              "        [-0.46327623],\n",
              "        [-1.8616957 ],\n",
              "        [-1.48110579],\n",
              "        [ 2.02617775],\n",
              "        [ 4.5864553 ],\n",
              "        [-0.47282598],\n",
              "        [-0.23885915],\n",
              "        [-2.34256993],\n",
              "        [ 0.2696216 ],\n",
              "        [-2.38400392],\n",
              "        [-0.1195513 ],\n",
              "        [ 0.30614313],\n",
              "        [ 0.58804667],\n",
              "        [-3.94230642],\n",
              "        [ 2.91190939],\n",
              "        [ 1.25878647],\n",
              "        [ 0.96710345],\n",
              "        [-1.61362969],\n",
              "        [ 0.41786829],\n",
              "        [ 0.57642571],\n",
              "        [ 0.21201024],\n",
              "        [ 1.41653864],\n",
              "        [ 2.93711664],\n",
              "        [-5.70780278],\n",
              "        [ 0.17766713],\n",
              "        [-1.57155706],\n",
              "        [ 3.19984839],\n",
              "        [-7.14530465],\n",
              "        [-3.32307672],\n",
              "        [ 2.22447154],\n",
              "        [ 0.94178596],\n",
              "        [ 0.28362105],\n",
              "        [ 1.52790957],\n",
              "        [ 0.98528663],\n",
              "        [-1.26032457],\n",
              "        [ 1.72879809],\n",
              "        [-3.50178485],\n",
              "        [ 0.49368344],\n",
              "        [-2.49905077],\n",
              "        [-1.37704692],\n",
              "        [-0.39560424],\n",
              "        [ 1.26266906]]))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hzob6JTjGZlW",
        "colab_type": "code",
        "outputId": "e6a50e7b-656b-43a1-b154-4a9d8dd5fc1f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 212
        }
      },
      "source": [
        "# test on data\n",
        "\n",
        "x_gen, y_gen = Standarized_TimeseriesGenerator(data, targets,\n",
        "                               length=5, sampling_rate=1,\n",
        "                               stride=1, batch_size=1)[0]\n",
        "print(x_gen)\n",
        "print(y_gen)\n",
        "\n",
        "x = data[None, :5,:]\n",
        "mean = x.mean(axis=1)\n",
        "std = x.std(axis=1)\n",
        "x = (x - mean)/std\n",
        "y = (data[5,3] - mean[...,3])/std[...,3]\n",
        "print(x)\n",
        "print(y)\n",
        "\n",
        "assert (x_gen == x).all()\n",
        "assert y_gen == y"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[[-1.41421356 -1.01709526 -0.83189033 -0.72799757]\n",
            "  [-0.70710678 -0.84757938 -0.79029581 -0.71771512]\n",
            "  [ 0.         -0.33903175 -0.4991342  -0.56347834]\n",
            "  [ 0.70710678  0.50854763  0.29116162  0.10488101]\n",
            "  [ 1.41421356  1.69515876  1.83015873  1.90431003]]]\n",
            "[[5.69853465]]\n",
            "[[[-1.41421356 -1.01709526 -0.83189033 -0.72799757]\n",
            "  [-0.70710678 -0.84757938 -0.79029581 -0.71771512]\n",
            "  [ 0.         -0.33903175 -0.4991342  -0.56347834]\n",
            "  [ 0.70710678  0.50854763  0.29116162  0.10488101]\n",
            "  [ 1.41421356  1.69515876  1.83015873  1.90431003]]]\n",
            "[5.69853465]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vscXM4hL38NF",
        "colab_type": "text"
      },
      "source": [
        "# Baseline "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3CHUog6nDKCw",
        "colab_type": "code",
        "outputId": "a836b65e-4bf4-48eb-c28b-b9c5a0675708",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        }
      },
      "source": [
        "# baseline: use previous day as estimation for the next\n",
        "squared_error = 0\n",
        "def mean_squared_error(X, lenght = 5):\n",
        "  squared_error = 0\n",
        "  for i in range(0, X.shape[0] - lenght):\n",
        "    x = X[i:i+lenght]\n",
        "    mean = x.mean()\n",
        "    std = x.std()\n",
        "    x = (x - mean)/std\n",
        "    y = (X[i+lenght] - mean)/std\n",
        "    squared_error += np.square(x[-1]-y)\n",
        "  return squared_error/X.shape[0]\n",
        "\n",
        "baseline_error = mean_squared_error(data[:,3])\n",
        "baseline_error"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.4528189810500125"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nJtvFwP0Xs6b",
        "colab_type": "code",
        "outputId": "ea6ae949-93aa-444b-f384-ff4eebf6e8aa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        }
      },
      "source": [
        "data_gen = Standarized_TimeseriesGenerator(data, targets,\n",
        "                               length=5, sampling_rate=1,\n",
        "                               stride=1, batch_size=32)\n",
        "\n",
        "# baseline: use previous day as estimation for the next\n",
        "def mean_squared_error(dataset):\n",
        "  mse=0\n",
        "  for X_batch, y_batch in dataset:\n",
        "    # X_batch.shape : (n_batch, n_sequence, n_features)\n",
        "    #mse += np.mean(np.square(X_batch[:, -1, 3:4]-y_batch))\n",
        "    mse += np.mean(np.square(X_batch[:, -1, 3:4]-y_batch))\n",
        "  mse /= len(dataset)\n",
        "  return mse\n",
        "\n",
        "baseline_error = mean_squared_error(data_gen)\n",
        "baseline_error "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6.330168131925023"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JRMh0tdmPShx",
        "colab_type": "text"
      },
      "source": [
        "# Utilities"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GJfdA-TQuzR0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Metrics not included in keras\n",
        "\n",
        "# For some reason keras mape is different so it has to be customly defined.\n",
        "# Paper definition isn't percentual, hence the difference. (x100)\n",
        "def mse(y_true, y_pred):\n",
        "  return tf.reduce_mean(tf.square(y_true-y_pred))\n",
        "def mae(y_true, y_pred):\n",
        "    return tf.reduce_mean(tf.keras.backend.abs((y_true-y_pred)))\n",
        "    # ***The absolute is over the whole thing as y_true can be negative\n",
        "def mape(y_true, y_pred):\n",
        "    return tf.reduce_mean(tf.keras.backend.abs((y_true-y_pred)/y_true))\n",
        "    # ***The absolute is over the whole thing as y_true can be negative\n",
        "def rmse(y_true, y_pred):\n",
        "    return tf.sqrt(tf.reduce_mean(tf.square(y_true-y_pred)))\n",
        "def ar(y_true, y_pred):\n",
        "    mask = tf.cast(y_pred[1:] > y_true[:-1],tf.float32)\n",
        "    return tf.reduce_mean((y_true[1:]-y_true[:-1])*mask)\n",
        "\n",
        "\n",
        "#class ar(tf.keras.metrics.Metric):\n",
        "#  def __init__(self, name=\"ar\", **kwargs):\n",
        "#    super(ar, self).__init__(name=name, **kwargs)\n",
        "#    self.y_old = self.add_weight(name='y_old', shape=n_batch, initializer='zeros', dtype=tf.float32)\n",
        "#    self.y_true = self.add_weight(name='y_true', shape=n_batch, initializer='zeros', dtype=tf.float32)\n",
        "#    self.y_pred = self.add_weight(name='y_pred', shape=n_batch, initializer='zeros', dtype=tf.float32)\n",
        "\n",
        "#  def update_state(self, y_true, y_pred, sample_weight = None):\n",
        "#    self.y_true = y_true[:,3]\n",
        "#    self.y_pred = y_pred[:,3]\n",
        "#    # shape y : (batch_size, n_features)\n",
        "#    self.y_old = tf.stack([self.y_old[-1] , self.y_true[:-1]], 0)\n",
        "\n",
        "#  def result(self):\n",
        "#    mask = tf.cast(self.y_pred > self.y_old, tf.float32)\n",
        "#    return tf.reduce_mean((self.y_true - self.y_old)*mask)\n",
        "\n",
        "   \n",
        "  \n",
        "  "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zjc9G6biCeDL",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Metrics not included in keras\n",
        "\n",
        "# For some reason keras mape is different so it has to be customly defined.\n",
        "# Paper definition isn't percentual, hence the difference. (x100)\n",
        "#def mape(y_true, y_pred):\n",
        "#    return tf.keras.backend.mean(tf.keras.backend.abs((y_true-y_pred)/y_true))\n",
        "#    # ***The absolute is over the whole thing as y_true can be negative\n",
        "\n",
        "#def rmse(y_true, y_pred):\n",
        "#    return tf.sqrt(tf.keras.backend.mean(tf.square(y_true-y_pred)))\n",
        "\n",
        "#def ar(y_true, y_pred):\n",
        "#    N = tf.cast(tf.size(y_true), tf.float32)\n",
        "#    return tf.keras.backend.sum(tf.keras.backend.maximum(y_true-y_pred, 0)) / (N-1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pHd6aABkzW5j",
        "colab_type": "text"
      },
      "source": [
        "# ANN"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "colab_type": "code",
        "id": "KvcoZvJxMW2L",
        "colab": {}
      },
      "source": [
        "def make_ANN_model():\n",
        "\n",
        "  inputs = Input(shape=(n_sequence, n_features,))\n",
        "  inputs_flatten = Flatten()(inputs)\n",
        "  ann_1 = Dense(units=1000, activation=None)(inputs_flatten)\n",
        "  batch_norm1=tf.keras.layers.BatchNormalization()(ann_1)\n",
        "  ann_1_LRelu = LeakyReLU(alpha=0.3)(ann_1) \n",
        "  ann_1_droput = Dropout(0.3)(ann_1_LRelu)\n",
        "  ann_2 = Dense(units=100, activation=None)(ann_1_droput)\n",
        "  batch_norm2=tf.keras.layers.BatchNormalization()(ann_2)\n",
        "  ann_2_LRelu = LeakyReLU(alpha=0.3)(ann_2) \n",
        "  ann_2_droput = Dropout(0.3)(ann_2_LRelu)\n",
        "  output_dense = Dense(1, activation=None)(ann_2_droput)\n",
        "  output = LeakyReLU(alpha=0.3)(output_dense) \n",
        "\n",
        "\n",
        "  model = Model(inputs = inputs, outputs = output)\n",
        "  #model.compile(loss=generator_loss)\n",
        "  model.compile(loss='mse', metrics = [mse , mae, mape, rmse, ar])\n",
        "  #model.compile(loss=None, metrics = [mse , mae, mape, rmse])\n",
        "  model.summary()\n",
        "\n",
        "  #return model, slice_model\n",
        "  return model\n",
        "\n",
        "  #history = model.fit(data_gen_train, validation_data=data_gen_test, epochs = 100, \n",
        "   #                   callbacks = tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5))\n",
        "  \n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HqWrtaJmf2FE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#lstm = make_ANN_model()\n",
        "#history = lstm.fit(data_gen_train, validation_data=data_gen_test, epochs = 100, \n",
        "#                   callbacks = tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kz6aDnQaiEmp",
        "colab_type": "text"
      },
      "source": [
        "# Visualization"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "fYra0XcJTb88",
        "colab": {}
      },
      "source": [
        "metrics = [\"loss\", 'mse','mae','mape','rmse','ar']\n",
        "def plot_history(history):\n",
        "  #metrics = [\"loss\", 'mse','mae','mape','rmse','ar']\n",
        "  #metrics = [\"gen_loss\",\"gen_slice_loss\", 'mse','mae','mape','rmae','ar']\n",
        "  for metric_name in metrics:  \n",
        "    plt.figure()\n",
        "    plt.title(metric_name)\n",
        "    plt.plot(history.history[metric_name], label='train')\n",
        "    plt.plot(history.history[\"val_\"+metric_name], label='test')\n",
        "    plt.legend()\n",
        "  plt.show()\n",
        "\n",
        "#plot_history(history)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ujjj6-QJ0QKP",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def plot_frame(sequence, target, model):\n",
        "  sequence, target = data_gen_test[0]\n",
        "  y_pred = model.predict(sequence)\n",
        "  y_true = target\n",
        "\n",
        "  plt.figure()\n",
        "  plt.title(\"closing price\")\n",
        "  plt.plot(y_true, label=\"true\")\n",
        "  plt.plot(y_pred, label=\"prediction\")\n",
        "  plt.legend()\n",
        "  plt.show()\n",
        "\n",
        "#plot_frame(*data_gen_test[0], lstm)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E3xAtrhmNm7G",
        "colab_type": "text"
      },
      "source": [
        "# Test on all datasets"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZmIU7EGsae97",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "results = np.zeros((5,6))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yfxhEDsm-O7l",
        "colab_type": "text"
      },
      "source": [
        "## S&P500"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0_T10ZDZi0jY",
        "colab_type": "code",
        "outputId": "7bd02e6a-5396-4d58-e913-b744f9d6e6cc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "data_name = data_names[0]\n",
        "data_path=\"stock_market_GAN/datasets/\"+data_name+\".csv\"\n",
        "print(data_path)\n",
        "dataframe = pd.read_csv(data_path).dropna()\n",
        "\n",
        "dataframe = add_Ma(dataframe)\n",
        "\n",
        "#plot_dataframe(dataframe)\n",
        "\n",
        "data_gen_train, data_gen_test = get_gen_train_test(dataframe)\n",
        "\n",
        "ann = make_ANN_model()\n",
        "history = ann.fit(data_gen_train, validation_data=data_gen_test, epochs = 100,\n",
        "                   callbacks = tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5))\n",
        "plot_history(history)\n",
        "plot_frame(*data_gen_test[0], ann)\n",
        "\n",
        "print(\"[MSE Baseline] train:\",mean_squared_error(data_gen_train),\" test:\", mean_squared_error(data_gen_test))\n",
        "\n",
        "results[0] = ann.evaluate(data_gen_test)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "stock_market_GAN/datasets/S&P500.csv\n",
            "Model: \"model_20\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "input_21 (InputLayer)        [(None, 5, 7)]            0         \n",
            "_________________________________________________________________\n",
            "flatten_20 (Flatten)         (None, 35)                0         \n",
            "_________________________________________________________________\n",
            "dense_100 (Dense)            (None, 1000)              36000     \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_100 (LeakyReLU)  (None, 1000)              0         \n",
            "_________________________________________________________________\n",
            "dropout_80 (Dropout)         (None, 1000)              0         \n",
            "_________________________________________________________________\n",
            "dense_101 (Dense)            (None, 100)               100100    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_101 (LeakyReLU)  (None, 100)               0         \n",
            "_________________________________________________________________\n",
            "dropout_81 (Dropout)         (None, 100)               0         \n",
            "_________________________________________________________________\n",
            "dense_104 (Dense)            (None, 1)                 101       \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_104 (LeakyReLU)  (None, 1)                 0         \n",
            "=================================================================\n",
            "Total params: 136,201\n",
            "Trainable params: 136,201\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n",
            "Epoch 1/100\n",
            "36/36 [==============================] - 0s 13ms/step - loss: 3.6664 - mse: 3.6664 - mae: 1.3292 - mape: 4.1902 - rmse: 1.8967 - ar: 0.9223 - val_loss: 3.9008 - val_mse: 3.9008 - val_mae: 1.2826 - val_mape: 1.6414 - val_rmse: 1.9464 - val_ar: 0.3495\n",
            "Epoch 2/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 3.5744 - mse: 3.5744 - mae: 1.2995 - mape: 2.2845 - rmse: 1.8794 - ar: 0.9265 - val_loss: 4.1647 - val_mse: 4.1647 - val_mae: 1.3217 - val_mape: 1.8790 - val_rmse: 2.0057 - val_ar: 0.3116\n",
            "Epoch 3/100\n",
            "36/36 [==============================] - 0s 10ms/step - loss: 3.6654 - mse: 3.6654 - mae: 1.2946 - mape: 2.7030 - rmse: 1.8963 - ar: 0.9522 - val_loss: 4.0758 - val_mse: 4.0758 - val_mae: 1.3028 - val_mape: 1.9141 - val_rmse: 1.9809 - val_ar: 0.2871\n",
            "Epoch 4/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 3.5903 - mse: 3.5903 - mae: 1.2939 - mape: 3.4273 - rmse: 1.8783 - ar: 0.9468 - val_loss: 4.1757 - val_mse: 4.1757 - val_mae: 1.3044 - val_mape: 1.6325 - val_rmse: 2.0098 - val_ar: 0.2923\n",
            "Epoch 5/100\n",
            "36/36 [==============================] - 1s 19ms/step - loss: 3.5668 - mse: 3.5668 - mae: 1.2766 - mape: 4.2375 - rmse: 1.8698 - ar: 0.9219 - val_loss: 4.0173 - val_mse: 4.0173 - val_mae: 1.2853 - val_mape: 1.8994 - val_rmse: 1.9671 - val_ar: 0.2368\n",
            "Epoch 6/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 3.6876 - mse: 3.6876 - mae: 1.2867 - mape: 2.8973 - rmse: 1.9043 - ar: 0.9375 - val_loss: 4.0737 - val_mse: 4.0737 - val_mae: 1.2774 - val_mape: 1.8523 - val_rmse: 1.9797 - val_ar: 0.2891\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[MSE Baseline] train: 3.591598232052386  test: 3.8851370430342302\n",
            "4/4 [==============================] - 0s 3ms/step - loss: 4.0737 - mse: 4.0737 - mae: 1.2774 - mape: 1.8523 - rmse: 1.9797 - ar: 0.2891\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "ngAn7E2S-fM3"
      },
      "source": [
        "## SSE"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "pTFVbRY7-fM4",
        "outputId": "8d161c9f-6481-488a-e0ce-25c2a0adae4a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "data_name = data_names[1]\n",
        "data_path=\"stock_market_GAN/datasets/\"+data_name+\".csv\"\n",
        "print(data_path)\n",
        "\n",
        "# we drop a couple of years because they have some periods were volume is zero\n",
        "# we also drop some data which contain nans\n",
        "dataframe = pd.read_csv(data_path)[1768:].dropna()\n",
        "\n",
        "dataframe = add_Ma(dataframe)\n",
        "\n",
        "#plot_dataframe(dataframe)\n",
        "\n",
        "data_gen_train, data_gen_test = get_gen_train_test(dataframe)\n",
        "\n",
        "ann = make_ANN_model()\n",
        "history = ann.fit(data_gen_train, validation_data=data_gen_test, epochs = 100, \n",
        "                   callbacks = tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5))\n",
        "plot_history(history)\n",
        "plot_frame(*data_gen_test[0], ann)\n",
        "print(\"[MSE Baseline] train:\",mean_squared_error(data_gen_train),\" test:\", mean_squared_error(data_gen_test))\n",
        "results[1] = ann.evaluate(data_gen_test)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "stock_market_GAN/datasets/SSE.csv\n",
            "Model: \"model_21\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "input_22 (InputLayer)        [(None, 5, 7)]            0         \n",
            "_________________________________________________________________\n",
            "flatten_21 (Flatten)         (None, 35)                0         \n",
            "_________________________________________________________________\n",
            "dense_105 (Dense)            (None, 1000)              36000     \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_105 (LeakyReLU)  (None, 1000)              0         \n",
            "_________________________________________________________________\n",
            "dropout_84 (Dropout)         (None, 1000)              0         \n",
            "_________________________________________________________________\n",
            "dense_106 (Dense)            (None, 100)               100100    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_106 (LeakyReLU)  (None, 100)               0         \n",
            "_________________________________________________________________\n",
            "dropout_85 (Dropout)         (None, 100)               0         \n",
            "_________________________________________________________________\n",
            "dense_109 (Dense)            (None, 1)                 101       \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_109 (LeakyReLU)  (None, 1)                 0         \n",
            "=================================================================\n",
            "Total params: 136,201\n",
            "Trainable params: 136,201\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n",
            "Epoch 1/100\n",
            "23/23 [==============================] - 0s 16ms/step - loss: 4.8738 - mse: 4.8738 - mae: 1.3681 - mape: 3.5010 - rmse: 2.1303 - ar: 0.9241 - val_loss: 3.5338 - val_mse: 3.5338 - val_mae: 1.2706 - val_mape: 22.7920 - val_rmse: 1.8762 - val_ar: 0.3828\n",
            "Epoch 2/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 4.5672 - mse: 4.5672 - mae: 1.3641 - mape: 4.7341 - rmse: 2.1190 - ar: 1.0474 - val_loss: 3.6027 - val_mse: 3.6027 - val_mae: 1.2794 - val_mape: 39.3902 - val_rmse: 1.8955 - val_ar: 0.4257\n",
            "Epoch 3/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 4.3004 - mse: 4.3004 - mae: 1.2737 - mape: 3.8874 - rmse: 2.0063 - ar: 0.9789 - val_loss: 3.5373 - val_mse: 3.5373 - val_mae: 1.2787 - val_mape: 18.1174 - val_rmse: 1.8788 - val_ar: 0.3423\n",
            "Epoch 4/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 3.8352 - mse: 3.8352 - mae: 1.2109 - mape: 4.2580 - rmse: 1.9128 - ar: 0.9391 - val_loss: 3.5311 - val_mse: 3.5311 - val_mae: 1.2936 - val_mape: 30.5469 - val_rmse: 1.8777 - val_ar: 0.4486\n",
            "Epoch 5/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 3.7402 - mse: 3.7402 - mae: 1.2813 - mape: 5.3045 - rmse: 1.9157 - ar: 0.9836 - val_loss: 3.5240 - val_mse: 3.5240 - val_mae: 1.2754 - val_mape: 25.5384 - val_rmse: 1.8759 - val_ar: 0.3913\n",
            "Epoch 6/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 3.9933 - mse: 3.9933 - mae: 1.2785 - mape: 9.5449 - rmse: 1.9795 - ar: 1.0035 - val_loss: 3.6325 - val_mse: 3.6325 - val_mae: 1.3057 - val_mape: 42.5643 - val_rmse: 1.9038 - val_ar: 0.4184\n",
            "Epoch 7/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 3.7153 - mse: 3.7153 - mae: 1.2377 - mape: 2.4920 - rmse: 1.9054 - ar: 0.9581 - val_loss: 3.6485 - val_mse: 3.6485 - val_mae: 1.2918 - val_mape: 26.3181 - val_rmse: 1.9087 - val_ar: 0.3174\n",
            "Epoch 8/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 3.6506 - mse: 3.6506 - mae: 1.2679 - mape: 4.2585 - rmse: 1.8963 - ar: 0.9428 - val_loss: 3.5279 - val_mse: 3.5279 - val_mae: 1.2808 - val_mape: 31.4135 - val_rmse: 1.8767 - val_ar: 0.3662\n",
            "Epoch 9/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 3.7001 - mse: 3.7001 - mae: 1.2267 - mape: 2.1052 - rmse: 1.8691 - ar: 0.9856 - val_loss: 3.4799 - val_mse: 3.4799 - val_mae: 1.2647 - val_mape: 29.5911 - val_rmse: 1.8638 - val_ar: 0.4332\n",
            "Epoch 10/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 4.3797 - mse: 4.3797 - mae: 1.3561 - mape: 2.3037 - rmse: 2.0645 - ar: 1.0339 - val_loss: 3.5895 - val_mse: 3.5895 - val_mae: 1.2871 - val_mape: 33.5455 - val_rmse: 1.8930 - val_ar: 0.3548\n",
            "Epoch 11/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 3.8548 - mse: 3.8548 - mae: 1.2724 - mape: 4.3732 - rmse: 1.9373 - ar: 1.0195 - val_loss: 3.5777 - val_mse: 3.5777 - val_mae: 1.2972 - val_mape: 30.2533 - val_rmse: 1.8907 - val_ar: 0.3968\n",
            "Epoch 12/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 3.2188 - mse: 3.2188 - mae: 1.2173 - mape: 2.5389 - rmse: 1.7821 - ar: 0.9557 - val_loss: 3.4863 - val_mse: 3.4863 - val_mae: 1.2784 - val_mape: 19.9886 - val_rmse: 1.8664 - val_ar: 0.3853\n",
            "Epoch 13/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 4.1833 - mse: 4.1833 - mae: 1.2925 - mape: 4.0694 - rmse: 2.0010 - ar: 1.0179 - val_loss: 3.5276 - val_mse: 3.5276 - val_mae: 1.2809 - val_mape: 24.8808 - val_rmse: 1.8775 - val_ar: 0.3571\n",
            "Epoch 14/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 3.9071 - mse: 3.9071 - mae: 1.2633 - mape: 1.9654 - rmse: 1.9457 - ar: 1.0052 - val_loss: 3.5002 - val_mse: 3.5002 - val_mae: 1.2874 - val_mape: 20.0809 - val_rmse: 1.8702 - val_ar: 0.3893\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[MSE Baseline] train: 4.8402400500028895  test: 3.456689356602112\n",
            "3/3 [==============================] - 0s 3ms/step - loss: 3.5002 - mse: 3.5002 - mae: 1.2874 - mape: 20.0809 - rmse: 1.8702 - ar: 0.3893\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "wc35dJOu-fjl"
      },
      "source": [
        "## IBM"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "M2UU0RrS-fjl",
        "outputId": "ac32a714-8f82-4e32-c4e3-263eb39e86fb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "data_name = data_names[2]\n",
        "data_path=\"stock_market_GAN/datasets/\"+data_name+\".csv\"\n",
        "print(data_path)\n",
        "dataframe = pd.read_csv(data_path).dropna()\n",
        "\n",
        "dataframe = add_Ma(dataframe)\n",
        "\n",
        "#plot_dataframe(dataframe)\n",
        "\n",
        "data_gen_train, data_gen_test = get_gen_train_test(dataframe)\n",
        "\n",
        "ann = make_ANN_model()\n",
        "history = ann.fit(data_gen_train, validation_data=data_gen_test, epochs = 100, \n",
        "                   callbacks = tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5))\n",
        "plot_history(history)\n",
        "plot_frame(*data_gen_test[0], ann)\n",
        "\n",
        "print(\"[MSE Baseline] train:\",mean_squared_error(data_gen_train),\" test:\", mean_squared_error(data_gen_test))\n",
        "\n",
        "results[2] = ann.evaluate(data_gen_test)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "stock_market_GAN/datasets/IBM.csv\n",
            "Model: \"model_22\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "input_23 (InputLayer)        [(None, 5, 7)]            0         \n",
            "_________________________________________________________________\n",
            "flatten_22 (Flatten)         (None, 35)                0         \n",
            "_________________________________________________________________\n",
            "dense_110 (Dense)            (None, 1000)              36000     \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_110 (LeakyReLU)  (None, 1000)              0         \n",
            "_________________________________________________________________\n",
            "dropout_88 (Dropout)         (None, 1000)              0         \n",
            "_________________________________________________________________\n",
            "dense_111 (Dense)            (None, 100)               100100    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_111 (LeakyReLU)  (None, 100)               0         \n",
            "_________________________________________________________________\n",
            "dropout_89 (Dropout)         (None, 100)               0         \n",
            "_________________________________________________________________\n",
            "dense_114 (Dense)            (None, 1)                 101       \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_114 (LeakyReLU)  (None, 1)                 0         \n",
            "=================================================================\n",
            "Total params: 136,201\n",
            "Trainable params: 136,201\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n",
            "Epoch 1/100\n",
            "36/36 [==============================] - 0s 12ms/step - loss: 3.7183 - mse: 3.7183 - mae: 1.3107 - mape: 10.1648 - rmse: 1.9128 - ar: 0.8926 - val_loss: 7.3268 - val_mse: 7.3268 - val_mae: 1.4009 - val_mape: 1.7353 - val_rmse: 2.5607 - val_ar: 0.3931\n",
            "Epoch 2/100\n",
            "36/36 [==============================] - 0s 10ms/step - loss: 5.7205 - mse: 5.7205 - mae: 1.3501 - mape: inf - rmse: 2.2181 - ar: 0.9778 - val_loss: 7.2226 - val_mse: 7.2226 - val_mae: 1.4011 - val_mape: 1.7288 - val_rmse: 2.5513 - val_ar: 0.4646\n",
            "Epoch 3/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 5.1271 - mse: 5.1271 - mae: 1.3113 - mape: inf - rmse: 2.1310 - ar: 0.9777 - val_loss: 7.5252 - val_mse: 7.5252 - val_mae: 1.4236 - val_mape: 1.6536 - val_rmse: 2.6078 - val_ar: 0.3705\n",
            "Epoch 4/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 5.8692 - mse: 5.8692 - mae: 1.3524 - mape: inf - rmse: 2.2167 - ar: 0.9642 - val_loss: 7.3842 - val_mse: 7.3842 - val_mae: 1.3989 - val_mape: 1.8322 - val_rmse: 2.5765 - val_ar: 0.4141\n",
            "Epoch 5/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 4.7102 - mse: 4.7102 - mae: 1.3119 - mape: inf - rmse: 2.0564 - ar: 0.9522 - val_loss: 7.3202 - val_mse: 7.3202 - val_mae: 1.3968 - val_mape: 1.6615 - val_rmse: 2.5698 - val_ar: 0.4986\n",
            "Epoch 6/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 5.4821 - mse: 5.4821 - mae: 1.2861 - mape: inf - rmse: 2.1139 - ar: 0.9706 - val_loss: 7.3986 - val_mse: 7.3986 - val_mae: 1.4023 - val_mape: 1.7885 - val_rmse: 2.5773 - val_ar: 0.3672\n",
            "Epoch 7/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 3.7853 - mse: 3.7853 - mae: 1.2470 - mape: inf - rmse: 1.8547 - ar: 0.9683 - val_loss: 7.3106 - val_mse: 7.3106 - val_mae: 1.4067 - val_mape: 1.9276 - val_rmse: 2.5659 - val_ar: 0.4046\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[MSE Baseline] train: 4.627927751202713  test: 7.163597671973363\n",
            "4/4 [==============================] - 0s 3ms/step - loss: 7.3106 - mse: 7.3106 - mae: 1.4067 - mape: 1.9276 - rmse: 2.5659 - ar: 0.4046\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Gfq8-DuK-f4g"
      },
      "source": [
        "## MSFT"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "feK5vU3I-f4j",
        "outputId": "debabb70-7374-4326-d4b0-ccb9b360b610",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "data_name = data_names[3]\n",
        "data_path=\"stock_market_GAN/datasets/\"+data_name+\".csv\"\n",
        "print(data_path)\n",
        "dataframe = pd.read_csv(data_path).dropna()\n",
        "\n",
        "dataframe = add_Ma(dataframe)\n",
        "\n",
        "#plot_dataframe(dataframe)\n",
        "\n",
        "data_gen_train, data_gen_test = get_gen_train_test(dataframe)\n",
        "\n",
        "ann = make_ANN_model()\n",
        "history = ann.fit(data_gen_train, validation_data=data_gen_test, epochs = 100, \n",
        "                   callbacks = tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5))\n",
        "plot_history(history)\n",
        "plot_frame(*data_gen_test[0], ann)\n",
        "\n",
        "print(\"[MSE Baseline] train:\",mean_squared_error(data_gen_train),\" test:\", mean_squared_error(data_gen_test))\n",
        "\n",
        "results[3] = ann.evaluate(data_gen_test)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "stock_market_GAN/datasets/MSFT.csv\n",
            "Model: \"model_23\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "input_24 (InputLayer)        [(None, 5, 7)]            0         \n",
            "_________________________________________________________________\n",
            "flatten_23 (Flatten)         (None, 35)                0         \n",
            "_________________________________________________________________\n",
            "dense_115 (Dense)            (None, 1000)              36000     \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_115 (LeakyReLU)  (None, 1000)              0         \n",
            "_________________________________________________________________\n",
            "dropout_92 (Dropout)         (None, 1000)              0         \n",
            "_________________________________________________________________\n",
            "dense_116 (Dense)            (None, 100)               100100    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_116 (LeakyReLU)  (None, 100)               0         \n",
            "_________________________________________________________________\n",
            "dropout_93 (Dropout)         (None, 100)               0         \n",
            "_________________________________________________________________\n",
            "dense_119 (Dense)            (None, 1)                 101       \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_119 (LeakyReLU)  (None, 1)                 0         \n",
            "=================================================================\n",
            "Total params: 136,201\n",
            "Trainable params: 136,201\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n",
            "Epoch 1/100\n",
            "36/36 [==============================] - 0s 13ms/step - loss: 4.8628 - mse: 4.8628 - mae: 1.3621 - mape: 1.9660 - rmse: 2.1259 - ar: 0.9346 - val_loss: 10.8544 - val_mse: 10.8544 - val_mae: 1.3814 - val_mape: 2.3297 - val_rmse: 2.8141 - val_ar: 0.3721\n",
            "Epoch 2/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 4.3546 - mse: 4.3546 - mae: 1.2882 - mape: 41.5294 - rmse: 2.0030 - ar: 0.9303 - val_loss: 10.8476 - val_mse: 10.8476 - val_mae: 1.4182 - val_mape: 1.8838 - val_rmse: 2.8188 - val_ar: 0.4755\n",
            "Epoch 3/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 4.6839 - mse: 4.6839 - mae: 1.3293 - mape: 1.9538 - rmse: 2.0657 - ar: 0.9580 - val_loss: 10.9557 - val_mse: 10.9557 - val_mae: 1.3805 - val_mape: 2.0392 - val_rmse: 2.8292 - val_ar: 0.4213\n",
            "Epoch 4/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 5.5226 - mse: 5.5226 - mae: 1.3650 - mape: 24.7955 - rmse: 2.2157 - ar: 0.9627 - val_loss: 10.8863 - val_mse: 10.8863 - val_mae: 1.3867 - val_mape: 1.8115 - val_rmse: 2.8215 - val_ar: 0.3138\n",
            "Epoch 5/100\n",
            "36/36 [==============================] - 0s 10ms/step - loss: 3.9091 - mse: 3.9091 - mae: 1.3172 - mape: 26.5482 - rmse: 1.9555 - ar: 0.9793 - val_loss: 10.9787 - val_mse: 10.9787 - val_mae: 1.3862 - val_mape: 1.8534 - val_rmse: 2.8360 - val_ar: 0.3486\n",
            "Epoch 6/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 3.8665 - mse: 3.8665 - mae: 1.3010 - mape: 20.3559 - rmse: 1.9455 - ar: 0.9774 - val_loss: 10.8833 - val_mse: 10.8833 - val_mae: 1.4099 - val_mape: 2.1268 - val_rmse: 2.8259 - val_ar: 0.3915\n",
            "Epoch 7/100\n",
            "36/36 [==============================] - 0s 10ms/step - loss: 4.7503 - mse: 4.7503 - mae: 1.3152 - mape: 1.9047 - rmse: 2.0750 - ar: 0.9442 - val_loss: 10.7096 - val_mse: 10.7096 - val_mae: 1.4006 - val_mape: 1.7155 - val_rmse: 2.8094 - val_ar: 0.4814\n",
            "Epoch 8/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 3.9448 - mse: 3.9448 - mae: 1.2953 - mape: 43.3317 - rmse: 1.9621 - ar: 0.9871 - val_loss: 10.7420 - val_mse: 10.7420 - val_mae: 1.3822 - val_mape: 1.8425 - val_rmse: 2.8104 - val_ar: 0.4829\n",
            "Epoch 9/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 3.8531 - mse: 3.8531 - mae: 1.2943 - mape: 28.5487 - rmse: 1.9347 - ar: 0.9505 - val_loss: 10.9844 - val_mse: 10.9844 - val_mae: 1.4247 - val_mape: 1.5309 - val_rmse: 2.8439 - val_ar: 0.3285\n",
            "Epoch 10/100\n",
            "36/36 [==============================] - 0s 10ms/step - loss: 3.6876 - mse: 3.6876 - mae: 1.2847 - mape: 22.7030 - rmse: 1.8981 - ar: 0.9642 - val_loss: 10.7109 - val_mse: 10.7109 - val_mae: 1.4063 - val_mape: 2.2449 - val_rmse: 2.8154 - val_ar: 0.5153\n",
            "Epoch 11/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 5.4725 - mse: 5.4725 - mae: 1.3481 - mape: 1.5819 - rmse: 2.1947 - ar: 0.9786 - val_loss: 11.0027 - val_mse: 11.0027 - val_mae: 1.4218 - val_mape: 1.8430 - val_rmse: 2.8501 - val_ar: 0.3327\n",
            "Epoch 12/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 4.8909 - mse: 4.8909 - mae: 1.3421 - mape: 32.3557 - rmse: 2.1235 - ar: 0.9837 - val_loss: 10.6387 - val_mse: 10.6387 - val_mae: 1.4125 - val_mape: 2.0000 - val_rmse: 2.8074 - val_ar: 0.4493\n",
            "Epoch 13/100\n",
            "36/36 [==============================] - 0s 10ms/step - loss: 4.9801 - mse: 4.9801 - mae: 1.3151 - mape: 1.8183 - rmse: 2.0853 - ar: 0.9643 - val_loss: 10.8212 - val_mse: 10.8212 - val_mae: 1.3985 - val_mape: 1.7826 - val_rmse: 2.8199 - val_ar: 0.4541\n",
            "Epoch 14/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 3.8926 - mse: 3.8926 - mae: 1.3194 - mape: 29.2580 - rmse: 1.9531 - ar: 0.9515 - val_loss: 10.5876 - val_mse: 10.5876 - val_mae: 1.3985 - val_mape: 1.9337 - val_rmse: 2.8005 - val_ar: 0.4623\n",
            "Epoch 15/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 3.6256 - mse: 3.6256 - mae: 1.2720 - mape: 2.0065 - rmse: 1.8862 - ar: 0.9756 - val_loss: 10.9553 - val_mse: 10.9553 - val_mae: 1.4143 - val_mape: 2.0812 - val_rmse: 2.8376 - val_ar: 0.3540\n",
            "Epoch 16/100\n",
            "36/36 [==============================] - 0s 10ms/step - loss: 3.9305 - mse: 3.9305 - mae: 1.2951 - mape: 53.8534 - rmse: 1.9653 - ar: 0.9981 - val_loss: 10.9488 - val_mse: 10.9488 - val_mae: 1.4072 - val_mape: 2.1149 - val_rmse: 2.8304 - val_ar: 0.4089\n",
            "Epoch 17/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 4.8449 - mse: 4.8449 - mae: 1.3423 - mape: 1.8188 - rmse: 2.1129 - ar: 0.9968 - val_loss: 10.7311 - val_mse: 10.7311 - val_mae: 1.4233 - val_mape: 1.8544 - val_rmse: 2.8204 - val_ar: 0.4406\n",
            "Epoch 18/100\n",
            "36/36 [==============================] - 0s 10ms/step - loss: 3.7099 - mse: 3.7099 - mae: 1.2782 - mape: 71.7773 - rmse: 1.9064 - ar: 0.9553 - val_loss: 10.7421 - val_mse: 10.7421 - val_mae: 1.3988 - val_mape: 2.0014 - val_rmse: 2.8227 - val_ar: 0.4588\n",
            "Epoch 19/100\n",
            "36/36 [==============================] - 0s 9ms/step - loss: 3.8295 - mse: 3.8295 - mae: 1.2955 - mape: 21.4192 - rmse: 1.9297 - ar: 0.9726 - val_loss: 11.0191 - val_mse: 11.0191 - val_mae: 1.3972 - val_mape: 1.8837 - val_rmse: 2.8461 - val_ar: 0.3540\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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KpjTAlVLKpjTAlVLKpjTAlVLKpjTAlVLKpjTAlVLKpjTAlVLKpjTAlVLKpjTAlVLKpjTAlVLKpjTAlVLKpjTAlVLKpjTAlVLKpjTAlVLKplwKcBH5lYhsF5EUEZkvImHuKkwppdS5NTvARSQO+CWQaIwZDAQCc9xVmFJKqXNztQslCAgXkSAgAshyvSSllFKN0ewAN8ZkAv8HHAQOA8eNMcvqTicic0UkSUSScnNzm1+pUkqp07jShRINXAn0ALoArUTkprrTGWPmGWMSjTGJ7du3b36lSimlThPkwnsvAfYbY3IBRORDYBzwljsKU0opgMrKSjIyMigrK/N1KR4XFhZG165dCQ4ObtT0rgT4QWCsiEQApcAUIMmFz1NKqTNkZGTQpk0bEhISEBFfl+Mxxhjy8vLIyMigR48ejXqPK33g64EPgE3ANudnzWvu5ymlVH3KysqIiYlp0eENICLExMQ0aUvDlRY4xphHgEdc+QyllGpISw/vGk39PfVITKWUakBBQQEvvPBCk983a9YsCgoKPFCRRQNcKaUacLYAr6qqOuf7li5dSlRUlKfKcq0LRSmlzgcPPPAAaWlpDB8+nODgYMLCwoiOjiY1NZXdu3dz1VVXcejQIcrKyrj77ruZO3cuAAkJCSQlJXHixAlmzpzJRRddxJo1a4iLi2PJkiWEh4e7VJcGuFLKNh77eDs7sgrd+pkDu7TlkcsHnXOav/3tb6SkpJCcnMyqVau49NJLSUlJOTla5LXXXqNdu3aUlpYyevRofvSjHxETE3PaZ+zZs4f58+fzyiuvMHv2bBYuXMhNN51x6EyTaIArpVQTjRkz5rShfs888wyLFi0C4NChQ+zZs+eMAO/RowfDhw8HYNSoUaSnp7tchwa4Uso2Gmope0urVq1OPl61ahVffvkla9euJSIigokTJ9Y7FDA0NPTk48DAQEpLS12uQ3diKqVUA9q0aUNRUVG9rx0/fpzo6GgiIiJITU1l3bp1XqtLW+BKKdWAmJgYxo8fz+DBgwkPD6djx44nX5sxYwYvvfQSAwYMoF+/fowdO9ZrdYkxxmtflpiYaJKS9Gh7pVTj7dy5kwEDBvi6DK+p7/cVkY3GmMS602oXilJK2ZQGuFJK2ZQGuFJK2ZQGuFJK2ZQGuFJK2ZQGuFJK2ZQGuFJKNaC5p5MF+Oc//0lJSYmbK7JogCulVAP8NcD1SEyllGpA7dPJTp06lQ4dOvDee+9RXl7OD3/4Qx577DGKi4uZPXs2GRkZOBwO/vCHP3DkyBGysrKYNGkSsbGxrFy50q11NTvARaQfsKDWUz2Bh40x/3S5KqWUqs9nD0D2Nvd+ZqchMPNv55yk9ulkly1bxgcffMD333+PMYYrrriC1atXk5ubS5cuXfj0008B6xwpkZGRPP3006xcuZLY2Fj31o1rFzXeZYwZbowZDowCSoBFbqtMKaX80LJly1i2bBkjRoxg5MiRpKamsmfPHoYMGcLy5cu5//77+eabb4iMjPR4Le7qQpkCpBljDrjp85RS6kwNtJS9wRjDgw8+yK233nrGa5s2bWLp0qU89NBDTJkyhYcfftijtbhrJ+YcYH59L4jIXBFJEpGk3NxcN32dUkp5T+3TyU6fPp3XXnuNEydOAJCZmUlOTg5ZWVlERERw0003cd9997Fp06Yz3utuLrfARSQEuAJ4sL7XjTHzgHlgnY3Q1e9TSilvq3062ZkzZ3LDDTdw4YUXAtC6dWveeust9u7dy3333UdAQADBwcG8+OKLAMydO5cZM2bQpUsXt+/EdPl0siJyJXCnMWZaQ9Pq6WSVUk2lp5P17Olkr+cs3SdKKaU8x6UAF5FWwFTgQ/eUo5RSqrFc6gM3xhQDMQ1OqJRSyu30UHqllN/z5qUffampv6cGuFLKr4WFhZGXl9fiQ9wYQ15eHmFhYY1+j54LRSnl17p27UpGRgbnw3EkYWFhdO3atdHTa4ArpfxacHAwPXr08HUZfkm7UJRSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqZcvaRalIh8ICKpIrJTRC50V2FKKaXOzdXTyf4L+NwYc42IhAARbqhJKaVUIzQ7wEUkEpgA/ATAGFMBVLinLKWUUg1xpQulB5AL/EdENovIv51XqT+NiMwVkSQRSTofrqihlFLe4kqABwEjgReNMSOAYuCBuhMZY+YZYxKNMYnt27d34euUUkrV5kqAZwAZxpj1zp8/wAp0pZRSXtDsADfGZAOHRKSf86kpwA63VKWUUqpBro5CuQt42zkCZR/wU9dLUkop1RguBbgxJhlIdFMtSimlmkCPxFRKKZvSAFdKKZvSAFdKKZvSAFdKKZvSAFdKKZvSAFdKKZvSAPeyZduz2Z513NdlKKVaAA1wL1q5K4e5b27kN+9twRjj63KUGzmqDUdPlPu6DHWe0QD3kqyCUn69IJnw4EBSs4vYkqGt8Jbk2RV7GPuXr1iSnOnrUtR5RAPcCyod1dw1fzMVVdUsuHUs4cGBLNhw0NdlKTeprja8n5RBtTHcsyCZN9ak+7okdZ7QAPeC//tiFxsPHOOvPxrK0K5RXDa0Mx8lZ1FcXuXr0pQbJB04RmZBKX/54RAuGdCRRz7aztPLd2s3mfI4DXAP+2rnEV5evY8bL+jGFcO6ADBnTDzFFQ4+2Zrl4+qUOyxJziQ8OJDLh3XhxRtHcs2orjzz1R4eXrKd6moNceU5GuAelHGshF+/t4VBXdryh8sGnnx+ZLdo+nRozbsbDvmwOuUOFVXVfLrtMFMHdqRVaBBBgQE8dc1Q5k7oyZvrDvDLd62uM6U8QQPcQyqqqvnFO5txVBuev2EkYcGBJ18TEa4bHc/mgwXsyi7yYZXKVat351JQUsmVw7ucfE5E+N2sATwwsz+fbD3Mz9/YQEmFdpcp99MA95AnPk8l+VABT14zlITYMy4VytUjuxISGMC7ujPT1pZsySI6IpgJfc+8XOBtF/fiyR8N5bu9R7nhlfUcK9Zrfiv30gD3gC+2Z/Pqt/u55cLuzBrSud5p2rUKYdqgjizanElZpcPLFSp3OFFexfId2Vw6tDPBgfX/K80eHc+LN41ix+FCZr+8lsPHS71cpWrJNMDd7FB+Cfe+v4WhXSP53aUDzjntnNHdKCipZNmOI16qTrnTsu3ZlFVWc+XwuHNON31QJ17/6WgOHy/jmhfXsi/3hJcqVC2dBrgblVc5uPOdTQA8f8NIQoMCzzn9uF4xxLcL593vtRvFjhYnZxEXFc6obtENTjuuVyzvzh1LWaWDa19ayzY9kEu5gUsBLiLpIrJNRJJFJMldRdnVX5emsjXjOE9dM4z4dhENTh8QIFyXGM+atDwO5BV7oULlLrlF5Xy39yhXDu9CQIA06j2D4yJ5/7YLCQsO5PpX1rEm7aiHq1QtnTta4JOMMcONMef1tTGXbjvM62vS+dn4HswY3KnR77tmVDwBAu8l6ZBCO/l0axaOasNVI87dfVJXz/atWXj7OLpEhfGT1zbwecphD1WozgfaheIGB/KKuf+DrQyLj+KBmf2b9N5OkWFM6teB95MyqHLoeGG7WJycRf9ObejbsU2T39spMoz3br2QQXFtuePtTW49rUJ1tdGDh84jLl2VHjDAMhExwMvGmHl1JxCRucBcgG7durn4df6nrNLBHW9vIiBAeP6GEYQENX2dOGdMN776bxIrd+UydWBHD1Sp3OlAXjHJhwqavLKuLSoihLf/5wJuf2sT9y/cRn5xJbdd3BORhrtjqhzVZBWUkZ5XzIG8YtLzSk7eH8wvYUCnNiy8fRxBZxkZo1oOVwP8ImNMpoh0AJaLSKoxZnXtCZyhPg8gMTGxxTUNHv90B9uzCvn3jxPpGt1wv3d9JvVrT4c2oSzYcFAD3AaWJFunQKg5NUJzRYQE8cqPE7n3/S088Xkq+cXl/G7WAESESkc1mcdKSc8rJv3oqZA+kFfCoWMlVDpO/SuFBQeQENOKXu1bMTQukg83ZzJ/wyFuHtvdpfqU/3MpwI0xmc77HBFZBIwBVp/7XU3nqDaUVzmICHF1feNeH2/J4q11B5k7oSeXuBC8QYEBXDOqKy99nUb28TI6RYa5sUrlTsYYFidnMqZHO7pEhbv8eSFBAfzzuuFERwTzyjf7WZOWx4nyKjKOleKo1RUSERJIQkwr+nduw/TBnUiIiaB7TCsSYlrRoU3oyR2pxhiyjpfy92W7uHxoZ6IiQlyuUfmvZieiiLQCAowxRc7H04A/uq2yWv6+bBcrUnOYd3Mi3WKa18p1t325J3hg4VZGdY/mvun9XP6860bH88KqND7YeIhfTO7jhgqVJ2zPKmRfbjH/c1FPt31mQIDw6BWD6BwVzmcp2QyJi+TyoV3oHhNBQmwrusdE0L51aKO6V0SERy4fxKXPfMM/lu/msSsHu61OO1q9O5dh8VFEhgf7uhSPcKWTrCPwrYhsAb4HPjXGfO6esk53Qc8YsgpKufy5b/lmT64nvqJJavq9Q4ICePb6EWc9Cq8puse0YlyvGBYkHdKdUH5s8eZMggOFWUMaP9KoMUSE2y7uxZI7x/PcDSO5d3o/rk2MZ3RCOzq0CWtUeNcY0LktN1zQjbfWHzyvz7WzdNthfvza9zywcKuvS/GYZiePMWafMWaY8zbIGPNndxZW28V92/PRLy6iY9tQbnnte+atTvPpuZYf/Wg7qdlFPH3dcLdsRte4bnQ8h/JLWZOW57bPVO7jqDZ8tCWLi/t28Puuid9M7Ufr0CAe+3j7eXle8pzCMn63aBvhwYF8lpLNhvR8X5fkEbbZTZ0Q24pFd4xn2sBO/GVpKvcsSKa0wvvnEFm0OYN3Nxzi9om9mNSvg1s/e/qgTkRFBNviBFcZx0q4+oXvWJF6/pwGYP2+PHKKyrlqhGs7L70hulUIv57alzVpeXyx/fz5G4G1H+C3C7dSVung/dsupGPbUB7/dGeL3LK1TYADtAoN4sWbRnLvtL58tCWLa15aQ8axEq99/96cIn73YQpjEtrxm6l93f75YcGB/HBEHMu2HyHfj89cV+Wo5lcLktl0sIC75yefN+f2WJycSevQIC4ZYI+RQjde0I1+Hdvw56U7zqsTpr3z/UFW7crlwZkDGBwXyb3T+rHlUAGfbGt5B03ZKsDB6iv8xeQ+vHpLIgfzSrjiue88fkhyWaWDeavTuPaltUSEBPLM9SM8NsZ2zuhuVDiq+XBThkc+3x1eWJXGhvRj3De9H8FBAdz65sYWf3m4skoHn23LZvqgTqed292fBQUG8MjlAzmUX8q/v9nn63K8Iv1oMY9/spMf9Ik9OYzy6pFdGdi5LU98ltriVmS2C/Aak/t3ZPEvxhMdEczNr37Pf77b7/a+voqqat5cm86EJ1fyl6WpDI6L5O3/vcCjw/z6dWrDiG5RLNhwyC/7LjceOMa/vtrDFcO6cMfEXjx7/QjSck/w24Vb/bJed1m1K4ei8qrTLtxgB+N6xzJjUCeeX5nW4k9lW+Wo5tfvJRMcKDx1zbCTQysDA4TfXzqAzIJSXm9hF5y2bYAD9GrfmsV3jmdy/w489vEO7n1/q1vWsI5qwwcbM5j891X8Ycl2usdEsGDuWN78+QX079TWDZWf25zR8ezJOcGmgwUe/66mKCqr5J4Fm+nUNozHfzgYEWF871jum96fT7ce5tVv9/u6RI9ZvDmL2NahjOsV4+tSmuz3lw7AYQx/+yzV16V41Mur97HpYAF/umrwGY2s8b1jmdy/A8+v2OvX3ZNNZesAB2gTFszLN43inkv6sHBTBrNfXktWQfNaGtXVhk+3HmbaP77m3ve3EBURzOs/Hc17t17IBT2994972dAutAoJ9LvTzD6yZDuZx0r515zhtA07Na72tot7MmNQJ/76WSprW+AImuOllaxIzeHyYZ1teXh6fLsIbp3QkyXJWSS10NEYKZnH+cfy3Vw2tPNZz8/+u1n9Kal08K8vd3u5Os+x39JYj4AA4Z5L+jLv5lHsyy3miue+5fv9jV9QjTGsTM3h8ue+5c53NiEivHjjSD7+xUVM7NehSWNw3Z1Z0IYAABM9SURBVKFVaBBXDO/CJ1sPU1RW6dXvPpslyZl8uDmTuyb3ITGh3WmviQhPXTuUhJgI7pq/qcVtqn+Rkk2Fo+ELN/iz2yf2olPbMB79eHuLG41RVungVwuSiWkdwuNXnf3Apd4d2jBndDxvrz9IWgvZ8d4iArzGtEGdWHznONqEBXPDK+t4c92BBvtl1+3L49qX1vLT1zdQVFbF07OH8cU9E5g5pLPXg7u260Z3o7TSwcdbfL/n/FB+CQ8tSmFU92jumty73mnahAXz8s2jKK2wDnIqr2o5O4sWJ2eSEBPBsK6Rvi6l2SJCgnhwVn9SMgt5f2PLOnXx/32xiz05J3jymmENjs//1dS+hAUHtpjupBYV4GCtZRffOZ4Jfdvzh8UpPLBwW71hsuVQATe/up4589Zx6FgJf/7hYL76zcVcPbIrgY08Qb8nDesaSf9ObXw+JrzKUc09C5IB+Od1w8/ZhdC7QxueunYYmw8W8KdPdnirRI/KPl7G2n15XDk8zqcrdHe4YlgXErtH89QXuyj0ky07V61JO8qr3+3n5rHdubieC0vXFds6lNsn9mL5jiOs22f/7r4WF+AAkeHB/PvHidw1uTcLkg4xZ946jhSWAbAru4i5/03iyue/Y3tWIQ9dOoCv75vEjRd0d8sh8e4iIswZHc/WjONsz/Ld5beeW7mXjQeO8aerBjfqKkOzhnTm1gk9eWvdQT7Y6L9DIRvr4y1ZGIPtRp/UR8Q650pecQXPfLnH1+W4rLCsknvf20JCTCsenNX4U/v+/KIedIkM4/FPd9i+O8l/EsvNAgKE30zrx4s3jmRXdhGXPWv1b8/412rWpuXxm6l9Wf3bSfzPD3r67bjeq0bEERIUwHsbfLPJu/FAPs98tYerhndp0pVn7pvejwt7xvD7RdtIybT3tR+XbMlkaNdIerZv7etS3GJwXCTXJcbz+pp09ubYux/40Y+2c6SonKdnD2vSmUrDggO5b0Y/UjILWbIl04MVel6LDfAaM4d0ZtEd44kICWTFzhxuu7gX39w/ibum9KF1qH+dnrauqIgQZg7uxKLNmV4/AKGwrJK7300mLjqcP55jx1B9ggIDePaGEbRrFcJtb23kmE2Hbe3NOUFKZqGtd17W597p/QgPCeRPn+yw7dj9z1MO8+GmTO6c2IsRjbiodF1XDotjSFwkT32+y9YH97T4AAfr4JjP757AugencP+M/n5/IqLa5ozuRmFZFZ95+dqJDy9O4fDxMv553YjThgw2VmzrUF68aRQ5heXcvSD5tHNb28WS5EwCBC4f2tnXpbhVbOtQ7p7Sh69357IiNcfX5TRZTlEZD364jSFxkdw1pXmnXg5wHtyTdbzM1scvnBcBDhAeEkhkhP3OCTy2ZzsSYiJ493vvdaMs2pzB4uQsfjm5D6O6N711U2N4fBSPXDGQ1btz+afNxt4aY1iSnMW4XrF0aNvyLrBxy7gEerVvxZ8+2UFFlX2uxWqM4YGF2yipcPCP64a5tN9qbM8Ypg7syAsr95JbVO7GKr3nvAlwuxIRZo+OZ/3+fK+cNOpgXgl/WLydxO7R3Dmpl8ufd8OYblw7qivPrtjL8h32OSve5kMFHMwvaRE7L+sTHBjAHy4bSHpeCf/5zj4t0Hc3HGJFag73z+hP7w5Nv6B0XQ/O7E95VbXtGhg1NMBt4JpR1tDGBUmebYVbQwY3I8A/Ghgy2Fgiwp+uGszguLb8ekEy+48Wu16oFyzZnElIUAAzBrv3wg3+ZGK/Dkzp34FnV+wlp6jM1+U06EBeMX/6ZAfje8fwk3EJbvnMnu1bc+MF3Zj//UH2HLHfxS80wG2gQ5swpvTvwMKNGVQ6PLe5+8yKvWw6WMCfrx7SqCGDjRUWHMiLN44iMFC47c2NlFT495kLqxzVfLL1MJcM6ECbZvT/28lDlw2kvMrBk5/v8nUp5+SoNvzmvS0EBpx+oip3uPuSvrQKDeKvNjy4RwPcJuaMiefoiQq+2umZbogN6fk8t2IPV4+Mc/lq6/WJbxfBM3NGsDuniPsXbvPr0Q/f7j1KXnFFixt9Up8esa342UU9+GBjBsmH/OvkabW9vDqNpAPH+OOVg9x6FSyAdq1C+MWk3qxIzeG7vZ49NbW7uRzgIhIoIptF5BN3FKTqd3HfDnRqG8a7HhgTfry0knveTaZrdAR/9OBFcCf0bc+90/rx8ZYsXvsu3WPf46olyVm0DQtiYr+Gj+xrCe6a3If2bUJ59CP/PE/K9izrRFWzhnTiKg+tVG8Zl0BcVDiPf7rTViOm3NECvxvY6YbPUecQGCDMTuzK17tzyWzm2RbrY4zhocUpZBeW8a85wz0+Nv72i3sxdWBH/rJ0J+v98FDm0goHX2zPZtaQzoQG+ecBXu7WOjSI+2f0J/lQAYs2+9eBLWWVDn69YAtRESH8+aohHjudQVhwIPfP7M/Ow4V+fTGVulwKcBHpClwK/Ns95ahzuTYxHoD33bgz88NNmXy8JYt7pvRp1gERTRUQIPx99jC6t4vgznc2nzzFgb9YvvMIJRWO86L7pLarR8QxLD6KJz5P5YQfXV3p6eW72XWkiCevGUp0K88ev3H50M4Mj4/i/5bt8vv9NDVcbYH/E/gtcNY9ayIyV0SSRCQpNzfXxa87v8W3i+Ci3rG8n5Thls28A3nFPLzEusbnHZPqP8ugJ7QNC+alm0dRUlHF7W9t5Pv9+eQUlflFv/iSzZl0jgzjgh7tGp64BQkIEB69fCA5ReU8v3Kvr8sBrDOFvvLNPm68oJvbLyBeHxHhoUsHcKSwnFdW22NoZbO3l0XkMiDHGLNRRCaebTpjzDxgHkBiYqLv/0Ntbs7obtz5ziaeW7GXgV3aEhURTGT4qVtjz+tS6ajm7neTCQwQ/jFnuNfPwNi3YxuevGYov5y/mdkvrwWsTfnuMRH0iG1Fj9hWJMS0IsH5ODoi2ONnAzxWXMHXu3P5+UU93DrKwS5GdIvm6pFxvPrNfq5LjCchtpVP6iipqOKd9Qd5YVUa3dtF8PtLB3jtuxMT2jFzcCdeXp3G9WPi/f4gLlc6PMcDV4jILCAMaCsibxljbnJPaao+lwzsQOfIMP5xlgMPQoICiAo/PdQj64R8VEQwSenHSD5UwHM3jCDOzXv1G+uyoV0Y1T2aXdlFpB8tJj2vhP1Hi9mWeZzPUrJP28poGxZEj/at6RETcTLUawI+Mtw9Q/0+3XaYqmrDFS304J3GeGBGf75Iyeanr2/gf3/Qk6tGdGnSiaJcUVhWyZtrD/Dqt/vJL65gXK8YHr1ikNe+v8b9M/rz5c4jPL18N3/70VCvfndTiTs2W50t8HuNMZeda7rExESTlJTk8ved78oqHRwpLON4aeXJW0GJdV9Yz3M1zxfV6du8dlRXnrp2mI9+i3OrqKrm0LES0o8Ws/9oMel5xaQftQI+63gptRfb2NahjOkRzbhesYzvHUtCTESzWuvXvrSGgpJKlv1qgu3P/e2KVbtyePLzXew4XEibsCBmJ8Zz89juHmuR5xdX8J/v9vP6mnSKyqqY3L8Dd07q7dJpHFz1x4938Pqa/Sy9+wcuXQfXGEN2YRk7sgoZ1T262edhEpGNxpjEus/79+n4VL3CggPpHtP0f6YqRzWFZVUcL62ktMJB/06uH4rsKSFBAfRq35pe9ZzGtazSwaF8K8z3Hy1mV3YRa/flsXRbNgBxUeFc2CuG8b1jGN/Ic5lkHCthQ/ox7pve77wOb7CO0Ly4b3s2HjjGG2sP8MaadF79dj8T+7XnlgsTuLhve7d0MeUUljFv9T7eXn+QsioHMwd34o6JvRkc5/srH/1ySm8WbsrgL0tT+e/PxjTqPY5qw77cE+w4XMj2rEJ2ZBWy43DhyYsov3pLIlMGdHRrnW5pgTeWtsCVpxhj2H+0mO/S8liz9yhr9+VRUGJddaZ3h9aM7xXDuN6xjO0ZU2+Xywur9vLk57v45reT3HoUakuQU1jGO98f5O31B8ktKqd7TAQ3j+3OtaPim3WCuEP5Jby8Oo33nDvjrxzWhTsm9XLLuU3c6d/f7OPxT3fyxs/GnHG1n9IKB6nZzqB2Bvau7ELKKq3xHCGBAfTt1JpBnSMZ2KUtA7u0ZVCXts3uDjpbC1wDXLVI1dWGHYcL+W7vUb5Ly2PD/nxKKx0ECAyJi2Rc71jG94olMSGasOBApv9jNa3Dglh4+zhfl+63Kqqq+WJ7Nv9dm86G9GOEBwdy1Yg4fnxhdwZ0bribIS33BC+uSmPx5kxE4JpR8dx+cS+6xfjnCrO8ysHUp1cTHhzIQ5cNONmq3p51nP1Hi6nZRdM2LMgZ0JEM7NyWQXFt6dW+tVuv8KUBrs5rFVXVbD547GQLPflQAVXVhpCgAIbGRZJ04Bh/unIQN1+Y4OtSbWF71nHeXHuAxcmZlFVWM6ZHO265MIFpgzqeEVw7Dxfy3Mq9LN12mNCgAK4f0425E3rSOdI3O8+bYum2w9zx9qaTP8dFhTOgs9WarmlVx0WFe7zbTQNcqVpOlFexYX/+yRZ6fnE5n909gXYePlikpSkoqeD9pAz+uy6dQ/mldGwbyo0XdGfOmHgyj5Xy/Mq9fLkzh9ahQdx8YXd+flEPYluH+rrsRjPG8MX2bNqGBTOgc1uPH0x0NhrgSimPcVQbvt6dwxtrDvD17lwCAwRHtSEyPJifje/BT8Yl2PKCKv5CR6EopTwmMECY3L8jk/t3ZF/uCd7fmEG7iBCuv6Cb31971s50ziql3Kpn+9bcP6O/r8s4L+j5wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqY0wJVSyqa8eii9iOQCB5r59ljgqBvL8RS71An2qVXrdD+71Kp1WrobY9rXfdKrAe4KEUmq71wA/sYudYJ9atU63c8utWqd56ZdKEopZVMa4EopZVN2CvB5vi6gkexSJ9inVq3T/exSq9Z5DrbpA1dKKXU6O7XAlVJK1aIBrpRSNuV3AS4iM0Rkl4jsFZEH6nk9VEQWOF9fLyIJPqgxXkRWisgOEdkuInfXM81EETkuIsnO28PerrNWLekiss1ZxxnXtBPLM855ulVERvqgxn615lWyiBSKyD11pvHJPBWR10QkR0RSaj3XTkSWi8ge5330Wd57i3OaPSJyiw/qfEpEUp1/10UiEnWW955zGfFSrY+KSGatv++ss7z3nBnhhToX1KoxXUSSz/Jez89TY4zf3IBAIA3oCYQAW4CBdaa5A3jJ+XgOsMAHdXYGRjoftwF211PnROATX89TZy3pQOw5Xp8FfAYIMBZY7wfLQTbWwQs+n6fABGAkkFLruSeBB5yPHwCeqOd97YB9zvto5+NoL9c5DQhyPn6ivjobs4x4qdZHgXsbsWycMyM8XWed1/8OPOyreepvLfAxwF5jzD5jTAXwLnBlnWmuBN5wPv4AmCIi4sUaMcYcNsZscj4uAnYCcd6swc2uBP5rLOuAKBHp7MN6pgBpxpjmHrXrVsaY1UB+nadrL4dvAFfV89bpwHJjTL4x5hiwHJjhzTqNMcuMMVXOH9cBXT31/U1xlnnaGI3JCLc5V53O3JkNzPfU9zfE3wI8DjhU6+cMzgzGk9M4F8zjQIxXqquHswtnBLC+npcvFJEtIvKZiAzyamGnM8AyEdkoInPreb0x892b5nD2fwp/macdjTGHnY+zgY71TONv8/VnWFta9WloGfGWXzi7e147S7eUP83THwBHjDF7zvK6x+epvwW4rYhIa2AhcI8xprDOy5uwugCGAc8Ci71dXy0XGWNGAjOBO0Vkgg9rOScRCQGuAN6v52V/mqcnGWt72a/H44rI74Eq4O2zTOIPy8iLQC9gOHAYq3vCn13PuVvfHp+n/hbgmUB8rZ+7Op+rdxoRCQIigTyvVFeLiARjhffbxpgP675ujCk0xpxwPl4KBItIrJfLrKkl03mfAyzC2gytrTHz3VtmApuMMUfqvuBP8xQ4UtPN5LzPqWcav5ivIvIT4DLgRufK5gyNWEY8zhhzxBjjMMZUA6+cpQZ/madBwNXAgrNN44156m8BvgHoIyI9nC2xOcBHdab5CKjZm38NsOJsC6WnOPu+XgV2GmOePss0nWr65kVkDNa89sWKppWItKl5jLVTK6XOZB8BP3aORhkLHK/VPeBtZ23V+Ms8daq9HN4CLKlnmi+AaSIS7ewOmOZ8zmtEZAbwW+AKY0zJWaZpzDLicXX2u/zwLDU0JiO84RIg1RiTUd+LXpunntxD2sy9vrOwRnWkAb93PvdHrAUQIAxr83ov8D3Q0wc1XoS1ybwVSHbeZgG3Abc5p/kFsB1rL/k6YJyP5mdPZw1bnPXUzNPatQrwvHOebwMSfVRrK6xAjqz1nM/nKdYK5TBQidXn+nOs/S5fAXuAL4F2zmkTgX/Xeu/PnMvqXuCnPqhzL1afcc1yWjOCqwuw9FzLiA9qfdO5/G3FCuXOdWt1/nxGRnizTufzr9csl7Wm9fo81UPplVLKpvytC0UppVQjaYArpZRNaYArpZRNaYArpZRNaYArpZRNaYArpZRNaYArpZRN/T8GJkMGxRd5MQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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vqu+VUl5SX0IP3n5FHlZYXMa/luzi9aW7OFZayfAeyTx/8wAu7p6kl+h1CA8TbhnciWv6t+PtFbkM6ZZI/7TAGc2p1Lkm6BL6oeIyjpwop01sFG1aRDa7sW3vkZO8+uUO3l65h7JKB1f1PY8fjeweUMPMA118TCQ/uKybv8NQ6pwXdAn9f6vzeHpu9qnH8dERtImLJCE2ijaxUSTERtKmReSp+wlxUaeSf0JsFG3iIomPjiAnv5hXvtjBh2vt1O3XZnTgnhHd6JEaPKPalFLKVdAl9CvS29K2VQxHTlRw5EQFRSfKOXKinKITFRw5Uc7uwhKKSspPdVOrTXiYUOUwxESGMWVoZ35wWbegnqZVKaUgCBN6t5SWdEtpeDbAyioHR09WnEr0p5O/vY2LjmDyRR1DekCEUurcEnQJ3V0R4WEktYzWhK2UOmdoh2qllAoRmtCVUipEaEJXSqkQ4VZCF5GxIrJFRHJE5KFa9ncWkc9EZJ2ILBaRNM+HqpRSqj4NJnQRCQdeBMYBfYFbRKRvjcOeBV43xvQHngJ+7+lAlVJK1c+dEvpgIMcYs8MYUw68DUyqcUxf4HPn/UW17FdKKeVl7iT0DkCuy+M85zZX3wLXO+9fB8SLSFLzw1NKKeUuTzWK/hIYISJrgBHAXqCq5kEiMlVEskQkq6CgwEMvrZRSCtxL6HuBji6P05zbTjHG7DPGXG+MyQAecW47UvNExpjpxphMY0xmSkpKM8JWSilVkzsJfSXQU0S6ikgUMBmY7XqAiCSLSPW5HgZmeDZMpZRSDWkwoRtjKoFpwDxgMzDLGLNRRJ4SkYnOw0YCW0RkK9AW+J2X4lVKKVUHXbFIKaWCSH0rFulIUaWUChGa0JVSKkRoQldKqRChCV0ppUKEJnSllAoRmtCVUipEaEJXSqkQoQldKaVChCZ0pZQKEZrQlVIqRGhCV0qpEKEJXSmlQoQmdKWUChGa0JVSKkRoQldKqRChCV0ppUKEJnSllAoRmtCVUipEaEJXSqkQoQldKaVChFsJXUTGisgWEckRkYdq2d9JRBaJyBoRWSci4z0fqlJKqfo0mNBFJBx4ERgH9AVuEZG+NQ57FJhljMkAJgMveTpQpZRS9XOnhD4YyDHG7DDGlANvA5NqHGOAVs77rYF9ngtRKaWUO9xJ6B2AXJfHec5trp4ApohIHjAXuK+2E4nIVBHJEpGsgoKCJoSrlFKqLp5qFL0FeM0YkwaMB94QkbPObYyZbozJNMZkpqSkeOillVJKgXsJfS/Q0eVxmnObq+8BswCMMUuBGCDZEwEqpZRyjzsJfSXQU0S6ikgUttFzdo1j9gCjAUQkHZvQtU5FKaV8qMGEboypBKYB84DN2N4sG0XkKRGZ6DzsF8APRORbYCZwlzHGeCtopZRSZ4tw5yBjzFxsY6frtsdc7m8CLvFsaEoppRpDR4oqpVSI0ISulFIhQhO6UkqFCE3oSikVIjShK6VUiNCErpRSIUITulJKhQhN6EopFSI0oSulVIjQhK6UUiFCE7pSSoUITehKKRUiNKErpVSI0ISulFIhQhO6UkqFCE3oSikVIjShK6VUiNCErpRSIUITulJKhQhN6EopFSLcWiRaRMYCfwHCgX8YY56psf//gFHOh7FAqjGmjScDVUopgIqKCvLy8igtLfV3KF4VExNDWloakZGRbj+nwYQuIuHAi8AYIA9YKSKzjTGbqo8xxvzM5fj7gIzGBK6UUu7Ky8sjPj6eLl26ICL+DscrjDEUFhaSl5dH165d3X6eO1Uug4EcY8wOY0w58DYwqZ7jbwFmuh2BUko1QmlpKUlJSSGbzAFEhKSkpEZfhbiT0DsAuS6P85zbaguiM9AV+LyO/VNFJEtEsgoKChoVqFJKVQvlZF6tKb+jpxtFJwPvGmOqattpjJlujMk0xmSmpKR4+KWVUsr7jhw5wksvvdTo540fP54jR454IaLT3Enoe4GOLo/TnNtqMxmtblFKhbC6EnplZWW9z5s7dy5t2ni3r4g7vVxWAj1FpCs2kU8Gbq15kIj0ARKApR6NUCmlAshDDz3E9u3bGTBgAJGRkcTExJCQkEB2djZbt27l2muvJTc3l9LSUn76058ydepUALp06UJWVhbFxcWMGzeO4cOH880339ChQwc+/PBDWrRo0ezYGkzoxphKEZkGzMN2W5xhjNkoIk8BWcaY2c5DJwNvG2NMs6NSSik3PPnRRjbtO+bRc/Zt34rHJ5xf5/5nnnmGDRs2sHbtWhYvXszVV1/Nhg0bTvVGmTFjBomJiZw8eZKLLrqI73znOyQlJZ1xjm3btjFz5kxeffVVbrrpJt577z2mTJnS7Njd6odujJkLzK2x7bEaj59odjRKKRVkBg8efEbXwhdeeIH3338fgNzcXLZt23ZWQu/atSsDBgwAYNCgQezatcsjsbiV0JVSKhDVV5L2lbi4uFP3Fy9ezMKFC1m6dCmxsbGMHDmy1q6H0dHRp+6Hh4dz8uRJj8SiQ/+VUqoR4uPjOX78eK37jh49SkJCArGxsWRnZ7Ns2TKfxqYldKWUaoSkpCQuueQSLrjgAlq0aEHbtm1P7Rs7diyvvPIK6enp9O7dm6FDh/o0NvFXG2ZmZqbJysryy2srpYLX5s2bSU9P93cYPlHb7yoiq4wxmbUdr1UuSikVIjShK6VUiNCErpRSIUITulJKhQhN6EopFSI0oSulVIjQhK6UUo3Q1OlzAZ5//nlOnDjh4YhO04SulFKNEMgJXUeKKqVUI7hOnztmzBhSU1OZNWsWZWVlXHfddTz55JOUlJRw0003kZeXR1VVFb/+9a85ePAg+/btY9SoUSQnJ7No0SKPx6YJXSkVvD55CA6s9+w5z+sH456pc7fr9Lnz58/n3XffZcWKFRhjmDhxIl9++SUFBQW0b9+eOXPmAHaOl9atW/Pcc8+xaNEikpOTPRuzk1a5KKVUE82fP5/58+eTkZHBwIEDyc7OZtu2bfTr148FCxbw4IMP8tVXX9G6dWufxKMldKVU8KqnJO0LxhgefvhhfvjDH561b/Xq1cydO5dHH32U0aNH89hjj9VyBs/SErpSSjWC6/S5V111FTNmzKC4uBiAvXv3kp+fz759+4iNjWXKlCk88MADrF69+qzneoOW0JVSqhFcp88dN24ct956K8OGDQOgZcuWvPnmm+Tk5PDAAw8QFhZGZGQkL7/8MgBTp05l7NixtG/f3iuNojp9rlIqqOj0uTp9rlJKhTy3ErqIjBWRLSKSIyIP1XHMTSKySUQ2ish/PBumUkqphjRYhy4i4cCLwBggD1gpIrONMZtcjukJPAxcYowpEpFUbwWslFKqdu6U0AcDOcaYHcaYcuBtYFKNY34AvGiMKQIwxuR7NkyllDrNX21/vtSU39GdhN4ByHV5nOfc5qoX0EtElojIMhEZW9uJRGSqiGSJSFZBQUGjg1VKqZiYGAoLC0M6qRtjKCwsJCYmplHP81S3xQigJzASSAO+FJF+xpgjNYKcDkwH28vFQ6+tlDqHpKWlkZeXR6gXCmNiYkhLS2vUc9xJ6HuBji6P05zbXOUBy40xFcBOEdmKTfArGxWNUko1IDIykq5du/o7jIDkTpXLSqCniHQVkShgMjC7xjEfYEvniEgytgpmhwfjVEop1YAGE7oxphKYBswDNgOzjDEbReQpEZnoPGweUCgim4BFwAPGmEJvBa2UUupsOlJUKaWCiI4UVUqpc4AmdKWUChGa0JVSKkRoQldKqRChCV0ppUKEJnSllAoRmtCVUipEaEJXSqkQoQldKaVChCZ0pZQKEZrQlVIqRGhCV0qpEKEJXSmlQoQmdKWUChGa0JVSKkRoQldKqRChCV0ppUKEJnSllAoRmtCVcrV3Nfy+I+Rn+zsSpRpNE7pSrtbNgrJjsP6//o5EqUZzK6GLyFgR2SIiOSLyUC377xKRAhFZ6/z5vudDVcrLjIHsj+39zR/5NxalmqDBhC4i4cCLwDigL3CLiPSt5dB3jDEDnD//8HCcSnnfgXVwNBfaZ8ChLVCwxd8RKdUo7pTQBwM5xpgdxphy4G1gknfDUsoPsueAhMGEF+xjLaWrIONOQu8A5Lo8znNuq+k7IrJORN4VkY61nUhEpopIlohkFRQUNCFcpbwoew50HArt+kPaRZrQVdDxVKPoR0AXY0x/YAHw79oOMsZMN8ZkGmMyU1JSPPTSSnnA4Z1wcAP0udo+Tp8A+9fCkT3+jUupRnAnoe8FXEvcac5tpxhjCo0xZc6H/wAGeSY8pXwke469rU7ofa6xt5s/9k88SjWBOwl9JdBTRLqKSBQwGZjteoCItHN5OBHY7LkQlfKB7DnQ9gJI7GofJ3W3j7XaRQWRiIYOMMZUisg0YB4QDswwxmwUkaeALGPMbOAnIjIRqAQOA3d5MWYViIp2QWEOVFVAVTlUltvbqjKXbS73q39ctxkHjHwYUnr5NvbiAshdBpc9cOb29Amw+BkozoeWqb6NSakmaDChAxhj5gJza2x7zOX+w8DDng1NBY2DG2H6SJuU3REWCRHREB4J4VEQ7rx/NBciW8C1L3k13LNs/dR+mVRXt1RLnwCLf2/7pmd+17cxKdUEbiX0kFOwBfYshYw7IEwHyzZLVSV8eC9Et4Kb/g1RcWcm6fAol+TtvBWp/VwfToMN78G4P0B0vO9+h+w50LojnNf/zO2pfSGxu6120YSugsC5l82qKuG/d8FHP4XZ0+xj1XTLXoJ9a2D8n6DLcDsop+35kNwDEjpDq3YQm2gTdERU3ckcION2qDgBGz/wXfxlxbD9c1s6rxmbiC2l7/wSThb5LialmujcS+hrXof8TdB7PKx9C2bdARWl/o4qOBVuh0W/sz1Czr+u+efrOBiSetq/i69s/8zW81f3aqkpfSI4KmHrPN/FpFQTnVsJvfQofP476HwJTP4PjPsTbJkDb90Apcf8HV1wcThg9n22GmX8s/WXvN0lAgNutdVhhdubfz53ZM+BFgnQaVjt+9tnQKsO2ttFBYVzK6F/9Wc4UQhX/c4mjyFT4fp/2ATy7wlQcsjfEQaPVf+C3Uvse9mqXcPHu+vCW+zwe1+U0qsqbINor3EQXkdzUliYLb3nLITyEu/H5E8OBxzbB7uWwOo3YOGTMOtOWwhSQeHcaRQ9vBOWvWwTRvuM09v73wgxrWzVy4yxcPv70KbWmQtUtaN5sOBx6DYSMqZ49tyt2kH30bB2Jox6BMLCPXt+V7uX2Ku2mr1bakqfACv+bpN63yCfxshRBcf2wuEdLj87T99Wnjx9bFgEtEiETR9Aj9HQaaj/4va34nzY8oltb7no+9D1Un9HVKtzJ6EvfMJ+QEc/dva+XlfB7R/Af26GGc77vu4LHSyMgY/uB1MFE/7imaqWmjJusw3XOxZBjys8f/5qmz+GiBbQ/fL6j+s0DGKTbLVLICd0hwNKj9ir0JJDcOIQHD9wZvIu2nVm99LwaDuYKrGbfR+q7yd0tT1/qsrghYH2C/y7n3rn7x2oDuXYLqtb5kLuCsCAhNtZOX+83DbyB5hzI6HvXmpLGSN/VXf1QOdhcNfH8OZ34F9j4bZ3ocNA38YZDNbNgpwFMPYPkNDFO6/Re7yt117zlvcSujG2/rzHaIiKrf/Y8Agb06YP7UCoiGjvxFSTowpOHLaJuTpBlxw6M2Gf8bjQftHWFBlrk3RKb+g9zt6v/olvX3/X3fAIGPkQfHy/TWwNXc0EM4cD9q22STx7rp1CGWx31pEP29/9+AF46zuw8h8w7Mf+jbcWoZ/QHQ6Y97Bt2Lr4vvqPbdfflkLeuNbWqd8yE7pe5ps4g0FxPnz6IKQNhsE/8N7rRERDvxth1b9td8EWCZ5/jX1r4Pg+6PNr945Pnwhr3rBdGHuO8Xw8Na1/F96/BxwVte+PaQ2xyRCXbEvTaZmnH8cmQ1wSxKVAy7b2pzkl64zbYemLtk6951V1tzcEo8oy2PmVsyT+CRQfsKXwLsPhou/ZL8A2nU4ff94F9krmiz/AhZNtl9wAEkJ/mTqsn2X/ea+b3nBJDOwcHt+dB29cD2/eADfMgPQ6urSda+Y+YBsGJ/3Nu3XbAANugxXTbWLzxpdH9dznvca6d3y3ES8BMsgAABcJSURBVBAVD5tnez+hV5bB/F/bEvXAO2x1z6lEnWwfh0d6NwZX4RFwxePwzhTbWD3oTt+9tjecPGLbQ7I/hm0Lofw4RMZBzyug99X271tfor7yt/DKcPjyWRj7tO/idkNoJ/TyEluqaJ9hS3zuatUe7p4Lb90Is26HiX+z9brnss0f2Wqry52JxtvaXWgnx1r7lvcSeudL3C9hRUTbtpbsOXDN8979Qlv9ur16uO5l2/AcCPpcY6/MFv/e/i+5UzgKJFUVsO4dW0DY9ZUdWxCXChdcb3+3rpdBZIx752p7vu0MsGK6LcUndfdu7I0Q2t0Wv/mr/ce46veNH+Ifmwh3fAhdR8CHP4Zv/uadGIPBySKY8ws4rx9c8lPfvKaILaXvWwMHN3n23IXboWBz3YOJ6pI+wdZT7/7Gs/G4qiiFr56zDbFdR3jvdRpLBMY8Ccf3w/KX/R2N+4yBTbPhpaF2ioqjuTDsXvjeAvjFFpj4AvS60v1kXm3Uo3Zai4VPeCXspgrdhH5sHyz5C/S91jZ4NkV0S7j1HXuO+Y/AZ0/ZD8i5Zt6jttFt0ou+vdTvf5PtmeTpPunVC0H3Gd+45/W4AiJivDvIqLp0PvLhwOtR0vli22f/6+dtY22g270U/nmlvcqWcJg8E6ZlwZin7Kjk5szjFN8Wht9vq+B2L/VczM0Uugn9s6fsZdWYJ5t3nohoW48+8E47MOnjn9neB+eK7Z/D2jdtybzdhb597bhkW8e97h17yewp2XNszwXXxi53RLe0feQ3f2Qb2z2tohS+fg46XRy4jfFXPA7lxfZ/IVAVbIGZt9jeakdz7RqxP/rGfoF78kty2DTbS2j+I975PDRBaCb0vavh25kw9Mee6VoXFm77XA//mR0h+d737Xzfoa6sGGb/1M6vMuJB/8SQMQVKCmDbfM+c7/hB26e4sdUt1dIn2BL0vjWeicfV6n/bKo1RAVg6r5aabqdnWDEdinb7O5ozHdtvp6N4aSjs+tq299y32jbieqNnTlQsjP417F0FG//n+fM3QegldGNg3q9sl61Lf+G584rAFU/AmN/YP97MyaE/FPyzp2wJZ9LfGl/H6Ck9xtjGqzUeqnbZ+glgmt5zqddVthpo8+yGj22M6rrzzpdAl8AchXjKyF/ZHkKLAqSHR+lR+1l9IcOOMB78Q/jJWrjsl95vvO0/2bYtLXwyICb5C72EvulDOzfLqEfskH5Pu+QnttfLjkX2si5U69T3LLOlsME/8O+Q7/AIuPBmO+dKcX7zz7f5Y3vVltq3ac+PTbQJd/Nsz/7tV71m+0AHYt15Ta07wJB7bFXYgfX+i6Oy3E7n8ZcBtgqoz9UwbSWMe8b2w/eFsDC48ndwdE9ANBaHVkKvKIUFj9l/1ozbvfc6A2+HcX+EnV+E5ix8FaV2sYnWHWH04/6OBgZMsSMg173TvPOUHrN/sz7XNC9ppk+ww+jzPbR0bsVJ+Pr/oPPwgJ0j5CzD77eDm/zRy8PhsN0P/5YJnz5kB/tMXQw3/PP0mrC+1G2Ebev56jm/T/AXWgl9+StwZLedAdDbo9kG3Q0pfeCzJz3bYBcIvvgDFG6DCc/bhkB/S+0DHQbZapfmlIpzFtp5TJo7fL3PNYB47sv8VOn8Ic+czxdaJNgqzZyFsOML373ujsXw6ih473t20ZTb3oM7Zp854Z4/jPmNrYJd/Hu/hhE6Cb24wF529byq4cmWPCE8wtapF+bYrmahYv+3trvngNvsPCeBYsBttu/4vtVNP0f2HDvasuOQ5sUS39ZWQ3kioVeXzrtcGjyl82qDp0KrNHtV7O1eHvmb7TxLr0+yYwGu+zv88Cs7ujMQqqhSekHm3ZD1L9vLxk/cSugiMlZEtohIjojUWYwQke+IiBGRTM+F6KbFT9vly678re9es9dY28Vs8TO2R0iwq6qwgy/iku1VTiC54Du2D3hTG0cry21Pmd7jPDPKM30CHFxvq16aI+tfUHwwuErn1SJj4PJHYP9aO4rYW7Z/Dq9eDnlZtiQ8LcvOoxJo6wGPfNiuqbuglhldfaTBd0REwoEXgXFAX+AWETmrRUlE4oGfAss9HWSDDm6yl62Z3/PttLcicOVvoCQflobASNIlf7GNXFf/2TsTYjVHiza2qmPDu03rTbDrSyg71vTuijVVn2fzx00/R8VJWPK8LZ13Ge6ZuHyt/82Qer7tZeKNrrybZttprRO7wb0rbKcEf/W4akhcMlz6c9uA78tqKBfufMUNBnKMMTuMMeXA20Btk0L/BvgD4Nu+O8bYjv3RrfxTyknLtHNkL3nBM70w/KVgq6077zvJlj4DUcYU20UtuwlJNHuOnYCpm4eG0yd0tgOtmlPtkjXDWTp/2DMx+UNYuK16LNpp+9F70pq34L93QrsBdmrr+LaePb83DPkRtO7kt8FG7iT0DkCuy+M857ZTRGQg0NEYM6e+E4nIVBHJEpGsgoKCRgdbq20L7CXZiAf9N5Xl6MftQgCLn/HP6zeXowpmT7PzZo9/1t/R1K3rCNvzprFTATgcdn7rHqMhsoXn4kmfAHkr7ICWxio/YYfQd70MulziuZj8oecY20Nn8TNQdtwz51z2sp1DqetldhWxQLtirEtkjB1Ne2A9rHvb5y/f7EooEQkDngMaHMVjjJlujMk0xmSmpKQ096Vtne/8RyCxu10Wyl+SutteL6tes6ucBJsVr0Luchj7DLRM9Xc0dQsLs0sIbl9kl8Fz177VtheJp6880ifa26ZcMWTNsFV1wVw6ryZi50c5caj5k9gZY78YPn3I/r1unRUYPa0a44Lv2F5Zn/3GfnH7kDsJfS/gushmmnNbtXjgAmCxiOwChgKzfdIwmvUvOLTV1mP7ezmoEQ/a0t9nzZw7xpccVfDFn+wCID3G2IamQDfgVsDYqR3clf2xHd3p6XnMU3pDcq/GjxotL7F1511H2AmvQkHaIFtd981fm1716HDYUd6Lf297Nd3wmu9Wh/IkEbjqaTtFhI/b1txJ6CuBniLSVUSigMnAqU+wMeaoMSbZGNPFGNMFWAZMNMZkeSXiaieLbM+WLpfa5cH8rWUKXPwT+8+du8Lf0TTs2H7bBWzRb22J4oYZgdH9qyGJXe3l/dr/uN8nffPHttHRG5ft6RNg1xIoKXT/OVkz7Pw0oVA6d3X5Y1BZattiGquq0lb7LXvJ1kNP/Ftwr4zUaai9gvv6ebtsnY80mNCNMZXANGAesBmYZYzZKCJPichEbwdYpy/+ZFceuerpwElEw+61y30teCywpwTYOh9eucROKjTpJbj+Ve9Mk+AtGbfZ7oJ73Ji2tGCrHSTlqd4tNaVPsKNYt37i3vHlJfafvNvIpk/rHKiSe8Cgu2zVY+F2959XWQbv3mXbRkY+DGObsH5BIBrzpB3Itsh3XYDdeteMMXONMb2MMd2NMb9zbnvMGHPWtaYxZqTXS+eF2+08IxlT7DqggSK6pe1ps2epXVA30FSWw7xH4D83Qnw7mPqFTY6B8oXorr6TIKqle33Sq+u3vXUV126Abah1t7fLyn/auuZQK51XG/EghEfbbozuKC+x3RI3f2QXohn5UPB9HuuS2M0OvlrzJhzc6JOXDM6vwfm/tnVrl7u5wK8vZdxhp5td+IS9jAwUhdthxpW2Tu+iH8D3P/Ntn31PioqD86+Fje83PKArew60H2gnlPIGEVtK3/55wz08yktsX/9uo/w74Zk3xbeFi6fZgUZ5q+o/9mQRvHGdnV9n0osw7Me+idGXLvul7VI9/1GfvFzwJfSdX8KWOXZu8kDsl1o9JcChrXZhiECw7r/w98vg8E64+S24+tnAHZzhrgFToKLEzq5Zl2P7YW9W8+duaUj6BHtp3dCc7Sv/Edql82rDptkpFhY+XnfVY3E+vHaNXbvgxn/bq+1QFJtor1q2f24XpPay4EvoR3IhJd3WVweqPlfb+UIWPe3fOdPLS+CDe+F/37dzNt/zddPnAQ80nYba7qr19Unf4hwW4a3682odh9j59+urdikrtqXz7pdDp2bOJRPoYlrBiP9nF2POqSWJHdkDM8badpBb34G+/muK84mLvm+rX+Y/6vWr9uBL6Bm3wY+WeHaAiKeJ2Dknig/C0pf8E8OB9fD3ETbhXfb/4M6PoU3Hhp8XLERsF8bdS+pugMueY5N+Sm/vxhIWbr/Et86ve1qClf+wk0qN/JV3YwkUg+62884vePzMJRsLttpkXnIIbv8gsCaA85aIKLjiSTu53Jo3vPpSwZfQwTOTK3lbpyG2ZLjkL3YmSF8xBpZPh1dH27Uf75xtJ1AK5i5gdbnwFrtyztr/nL3v5BFbPZfezLnP3ZU+wVYB7Vh09r6yYvjmBbvIdMeLvB9LIIiIsm1c+Rth3Sy7bf+38K9xtnrq7jmhf6XiKn2Cnchv0e88N5q2FsGZ0IPFFU/YGSC//KNvXu/EYXj7NvjkATtnyT1fB+5iw57QuoNtYPx25tkLd+cstIuEe7u6pVqXyyC6de3VLitfdZbOQ7zuvKbzr7e9gBb9zs5j/to19sr67k9tFeC5RMTOBFtSYLuteokmdG9K7gkD77ADSRrTL7cpdi+FVy61DXNXPW2HTMcle/c1A0HGbXBsr00YrrI/tmuRdvDRTM4RUdB7rO2u6rrgSdlxO3FbjzF2IrdzSViY7Yt9NNcOYmvZFr77qe2vfi5KGwQX3GB7mjVm6opG0ITubSMftv1yP/+Nd87vqIIv/givjbdJ5fsLbINxqPTlbUjvq+1SaK6NoxWldtK2PuN9O0AlfYLtird7yeltK16Fk4fPvdJ5tW4j7biBtIvg7k+gdZq/I/KvK5w9f7LrncewyUKwYjXAVPfL/eIPMOw++y3tKQc3wpxf2IFM/W6Ca56zy3KdSyJjoN+NsPoNm0xbJNi68/Ji31W3VOs+2s5YuWm2TWRlx23dec8rPft3DzY3/vvcKWA0pE0n+Mlqr32xaQndFy6+z3Zr89SUACePwCcP2iqWgi1w7Stw/fRzL5lXG3Cbnb54w3v2cfbHEBXv+/aDqFjb8Jn9sZ1oasV0+yUzIghXI/IkTeZn8uJViiZ0X4iOt4MLdn/d8OCT+jgcdhjxXwfZZJF5N9y3Cgbccm7/07TPgNS+dioAR5Wtx+45xj8z9aVPtN1Vt39uZx7sedW5XTpXPqUJ3VcG3WX7RNfsl+uufWvs0P0P77WDFKYutkvF+WtRj0AiYkvp+1bbfr4lBd4fHVqXXldCWCR8cI8tnY980D9xqHOSJnRfCY+E0Y/ZwQW19Zuuy4nD8NH9MH0UFO221SvfnWeXP1On9b/Zznn+6a9sQvX03Ofuimlt689LCuwi4h20dK58RxO6L/WdZLvRLXq64ZVMHFV2Zr6/DoTVr8PQH8N9WbZ6JRSmFvW0lik2gVaU2D74Ma39F0u/G0DCbTWbUj6kmcGXROzqSsf3wfKX6z4udwW8Ogrm/BzaXmCnOhj7tH+TVDAYcJu99Vd1S7X+N8PPNkCHgf6NQ51ztNuir3W+GHqNs6PFBt4FcUmn9xXn22l3174F8e3tKkLnX39uN3g2Ru9xdjbJnlf6Nw4RaNXevzGoc5KW0P3hiidsP+mvnrWPqyph2Svw10w778Xwn8G0lXZpOE3m7hOxc7f4e31ZpfxES+j+kNrHzv+84lU718WS5yF/k51addwf7ZQBSinVSFpC95eRv7K9Mt6famfju/ktmPI/TeZKqSbTErq/tGoHk/5mJ/sfco8dZaiUUs3gVgldRMaKyBYRyRGRs8Yxi8g9IrJeRNaKyNci0tfzoYagfjfApT/XZK6U8ogGE7qIhAMvAuOAvsAttSTs/xhj+hljBgB/BJ7zeKRKKaXq5U4JfTCQY4zZYYwpB94GJrkeYIw55vIwDvDADFRKKaUaw5069A5ArsvjPOCstaNE5F7g50AUcHltJxKRqcBUgE6dOjU2VqWUUvXwWC8XY8yLxpjuwIPAo3UcM90Yk2mMyUxJSfHUSyullMK9hL4XcF0uPs25rS5vA9c2JyillFKN505CXwn0FJGuIhIFTAZmux4gIq6dp68GtnkuRKWUUu5osA7dGFMpItOAeUA4MMMYs1FEngKyjDGzgWkicgVQARQBd3ozaKWUUmdza2CRMWYuMLfGtsdc7v/Uw3EppZRqJDGeWOOyKS8sUgDsbuLTk4FDHgzHm4IlVo3Ts4IlTgieWDVOq7MxptZeJX5L6M0hIlnGmEx/x+GOYIlV4/SsYIkTgidWjbNhOjmXUkqFCE3oSikVIoI1oU/3dwCNECyxapyeFSxxQvDEqnE2ICjr0JVSSp0tWEvoSimlatCErpRSISKgE7obC2tEi8g7zv3LRaSLH2LsKCKLRGSTiGwUkbMGWYnISBE56lwAZK2IPFbbuXxBRHa5LEaSVct+EZEXnO/pOhEZ6IcYe7u8V2tF5JiI3F/jGL+8pyIyQ0TyRWSDy7ZEEVkgItuctwl1PPdO5zHbRMTro6nriPVPIpLt/Nu+LyJt6nhuvZ8TH8T5hIjsdfn7jq/jufXmCB/E+Y5LjLtEZG0dz/XN+2mMCcgf7DQD24Fu2Cl5vwX61jjmx8ArzvuTgXf8EGc7YKDzfjywtZY4RwIf+/s9dcayC0iuZ/944BNAgKHA8gD4HBzADqbw+3sKXAYMBDa4bPsj8JDz/kPAH2p5XiKww3mb4Lyf4IdYrwQinPf/UFus7nxOfBDnE8Av3fhs1JsjvB1njf1/Bh7z5/sZyCX0BhfWcD7+t/P+u8BoEREfxogxZr8xZrXz/nFgM3YO+WA1CXjdWMuANiLSzo/xjAa2G2OaOqrYo4wxXwKHa2x2/Rz+m9pnG70KWGCMOWyMKQIWAGO9Fii1x2qMmW+MqXQ+XIadPdWv6nhP3eFOjvCY+uJ05p2bgJneen13BHJCr21hjZqJ8tQxzg/pUSDJJ9HVwlnlkwEsr2X3MBH5VkQ+EZHzfRrYmQwwX0RWORccqcmd992XJlP3P0mgvKdtjTH7nfcPAG1rOSbQ3leA72KvxmrT0OfEF6Y5q4Zm1FGNFUjv6aXAQWNMXTPN+uT9DOSEHlREpCXwHnC/OXNJPoDV2CqDC4G/Ah/4Oj4Xw40xA7FrxN4rIpf5MZZ6Oadrngj8t5bdgfSenmLs9XXA9wUWkUeASuCtOg7x9+fkZaA7MADYj63OCGS3UH/p3CfvZyAndHcW1jh1jIhEAK2BQp9E50JEIrHJ/C1jzP9q7jfGHDPGFDvvzwUiRSTZx2FWx7LXeZsPvI+9bHXV2AVNvGkcsNoYc7DmjkB6T4GD1dVSztv8Wo4JmPdVRO4CrgFuc34BncWNz4lXGWMOGmOqjDEO4NU6Xj8g3lNn7rkeeKeuY3z1fgZyQm9wYQ3n4+reAjcAn9f1AfUWZ93ZP4HNxpjn6jjmvOq6fREZjH3f/fHFEyci8dX3sQ1kG2ocNhu4w9nbZShw1KU6wdfqLPUEynvq5Po5vBP4sJZj5gFXikiCs/rgSuc2nxKRscD/AyYaY07UcYw7nxOvqtFuc10dr+9OjvCFK4BsY0xebTt9+n56u9W1OT/YHhdbsS3Zjzi3PYX9MALEYC/Hc4AVQDc/xDgce4m9Dljr/BkP3APc4zxmGrAR2wq/DLjYT+9nN2cM3zrjqX5PXWMV4EXne74eyPRTrHHYBN3aZZvf31PsF8x+7GIuecD3sO02n2FX6loIJDqPzQT+4fLc7zo/qznA3X6KNQdb71z9Wa3uJdYemFvf58THcb7h/PytwybpdjXjdD4+K0f4Mk7n9teqP5cux/rl/dSh/0opFSICucpFKaVUI2hCV0qpEKEJXSmlQoQmdKWUChGa0JVSKkRoQldKqRChCV0ppULE/wff4O0Y0YthkwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[MSE Baseline] train: 4.037076045396269  test: 10.919209093531334\n",
            "4/4 [==============================] - 0s 3ms/step - loss: 11.0191 - mse: 11.0191 - mae: 1.3972 - mape: 1.8837 - rmse: 2.8461 - ar: 0.3540\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "tsb18C-u-mgc"
      },
      "source": [
        "## PAICC"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "wVlmUaho-mgc",
        "outputId": "3eb3c711-37aa-4b51-c468-512e012011b0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "data_name = data_names[4]\n",
        "data_path=\"stock_market_GAN/datasets/\"+data_name+\".csv\"\n",
        "print(data_path)\n",
        "dataframe = pd.read_csv(data_path).dropna()\n",
        "\n",
        "dataframe = add_Ma(dataframe)\n",
        "\n",
        "#plot_dataframe(dataframe)\n",
        "\n",
        "data_gen_train, data_gen_test = get_gen_train_test(dataframe)\n",
        "\n",
        "ann = make_ANN_model()\n",
        "history = ann.fit(data_gen_train, validation_data=data_gen_test, epochs = 100, \n",
        "                   callbacks = tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5))\n",
        "plot_history(history)\n",
        "plot_frame(*data_gen_test[0], ann)\n",
        "\n",
        "print(\"[MSE Baseline] train:\",mean_squared_error(data_gen_train),\" test:\", mean_squared_error(data_gen_test))\n",
        "\n",
        "results[4] = ann.evaluate(data_gen_test)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "stock_market_GAN/datasets/PAICC.csv\n",
            "Model: \"model_24\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "input_25 (InputLayer)        [(None, 5, 7)]            0         \n",
            "_________________________________________________________________\n",
            "flatten_24 (Flatten)         (None, 35)                0         \n",
            "_________________________________________________________________\n",
            "dense_120 (Dense)            (None, 1000)              36000     \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_120 (LeakyReLU)  (None, 1000)              0         \n",
            "_________________________________________________________________\n",
            "dropout_96 (Dropout)         (None, 1000)              0         \n",
            "_________________________________________________________________\n",
            "dense_121 (Dense)            (None, 100)               100100    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_121 (LeakyReLU)  (None, 100)               0         \n",
            "_________________________________________________________________\n",
            "dropout_97 (Dropout)         (None, 100)               0         \n",
            "_________________________________________________________________\n",
            "dense_124 (Dense)            (None, 1)                 101       \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_124 (LeakyReLU)  (None, 1)                 0         \n",
            "=================================================================\n",
            "Total params: 136,201\n",
            "Trainable params: 136,201\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n",
            "Epoch 1/100\n",
            "26/26 [==============================] - 0s 14ms/step - loss: 3.6726 - mse: 3.6726 - mae: 1.2998 - mape: nan - rmse: 1.8974 - ar: 0.9834 - val_loss: 3.4387 - val_mse: 3.4387 - val_mae: 1.2588 - val_mape: 306.3604 - val_rmse: 1.8536 - val_ar: 0.3349\n",
            "Epoch 2/100\n",
            "26/26 [==============================] - 0s 10ms/step - loss: 3.6072 - mse: 3.6072 - mae: 1.2642 - mape: inf - rmse: 1.8840 - ar: 0.9942 - val_loss: 3.3594 - val_mse: 3.3594 - val_mae: 1.2860 - val_mape: 245.0288 - val_rmse: 1.8327 - val_ar: 0.3918\n",
            "Epoch 3/100\n",
            "26/26 [==============================] - 0s 9ms/step - loss: 3.2726 - mse: 3.2726 - mae: 1.2450 - mape: inf - rmse: 1.8000 - ar: 1.0076 - val_loss: 3.3307 - val_mse: 3.3307 - val_mae: 1.2344 - val_mape: 255.1035 - val_rmse: 1.8249 - val_ar: 0.3132\n",
            "Epoch 4/100\n",
            "26/26 [==============================] - 0s 10ms/step - loss: 3.6616 - mse: 3.6616 - mae: 1.2851 - mape: inf - rmse: 1.8951 - ar: 1.0084 - val_loss: 3.2902 - val_mse: 3.2902 - val_mae: 1.2224 - val_mape: 323.6374 - val_rmse: 1.8133 - val_ar: 0.3931\n",
            "Epoch 5/100\n",
            "26/26 [==============================] - 0s 10ms/step - loss: 3.4022 - mse: 3.4022 - mae: 1.2488 - mape: inf - rmse: 1.8316 - ar: 0.9955 - val_loss: 3.4096 - val_mse: 3.4096 - val_mae: 1.2667 - val_mape: 258.1431 - val_rmse: 1.8461 - val_ar: 0.3589\n",
            "Epoch 6/100\n",
            "26/26 [==============================] - 0s 10ms/step - loss: 3.0843 - mse: 3.0843 - mae: 1.2043 - mape: inf - rmse: 1.7476 - ar: 0.9823 - val_loss: 3.3997 - val_mse: 3.3997 - val_mae: 1.2524 - val_mape: 253.0640 - val_rmse: 1.8434 - val_ar: 0.3785\n",
            "Epoch 7/100\n",
            "26/26 [==============================] - 0s 10ms/step - loss: 3.1964 - mse: 3.1964 - mae: 1.2272 - mape: inf - rmse: 1.7719 - ar: 0.9743 - val_loss: 3.2963 - val_mse: 3.2963 - val_mae: 1.2391 - val_mape: 239.9324 - val_rmse: 1.8148 - val_ar: 0.3384\n",
            "Epoch 8/100\n",
            "26/26 [==============================] - 0s 10ms/step - loss: 3.3818 - mse: 3.3818 - mae: 1.2526 - mape: inf - rmse: 1.8293 - ar: 1.0286 - val_loss: 3.4011 - val_mse: 3.4011 - val_mae: 1.2619 - val_mape: 341.1511 - val_rmse: 1.8430 - val_ar: 0.3546\n",
            "Epoch 9/100\n",
            "26/26 [==============================] - 0s 10ms/step - loss: 3.1392 - mse: 3.1392 - mae: 1.2202 - mape: inf - rmse: 1.7603 - ar: 0.9766 - val_loss: 3.4306 - val_mse: 3.4306 - val_mae: 1.2513 - val_mape: 379.2657 - val_rmse: 1.8508 - val_ar: 0.3273\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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g15aPDm1833D8vNxZvj9HJ/T0PJK7BRPi79Wu88wdE8+qQ+f4dM9Z7hgRa6XoNGfl6elJfHy82WE4JL3038p8vdy5rn9XVh0816EXxeSXVrEvu7hd0y0NhsV1ZmB0JxZuznTpt9ma1l46odvA9MRILlbU8PWJDjnrBMD6o8bb4au1y20pEWHu6HiO55Wx8VhBu8+naa5KJ3QbGNcnjEBvD5bv67jVLmkZeYQHepMQ1ckq55ueGElogDcLN+te6ZrWFJ3QbcDH053JA7ryxaFzVNd2vGmXmrp6NhzNZ0LfcERaX67YGG8Pd+4e2Z11GfmcyC+zyjk1zdXohG4j0xMjKamsZdNx174T35hdpy5SWlnLBCvMn1/uzpGxeLm78ZZeaKRpjdIJ3UbG9g4j0MeD5ftzzQ7F7tIy8vB0F8b0tm6VT2iANzOToli8K5viihqrnlvTXIFO6Dbi5eHGlIQI1hw6T2VNndnh2FVaeh7D40MI8LZ+u/37RsdzqaaORTtOW/3cmubsdEK3odTESEqratlwtONMu2RfrODo+bJWN+NqqQFRnRjZI4S3v87Sq3E17Qo6odvQ6F6hBPt5suJAx5l2Scsw/nhZe/78cnNHx5NTXMnqw+dtdg1Nc0Y6oduQp7sbUxMi+PJwx5l2WZeeR2yIHz1C/W12jUn9uxIb4sfCTbqEUdMupxO6jaUmRlFeXce6jDyzQ7G5ypo6Np8oYGI/65UrNsbd0it956mL7DtTZLPraJqz0Qndxkb2CKGLvxefdYBql60nC6msqWd8X9u3Rr41JYYAbw/e1AuNNO0bOqHbmIe7G1MHRrD2SB4V1bVmh2NTael5+Hi6MbJHF5tfK9DHk1tTYlhxIJfzJZU2v56mOQOd0O0gNTGKSzV1rE133WkXpRRpGfmM7hmKj6d9WtzOuSaO2nrFe1t1r3RNA53Q7WJ4fAhhgd4s3+e60y4n8ss5faHCptUtV+rexZ/r+nfl/W2nO8xNZ027Gp3Q7cDdTbhhYARpGXmUVbnmtEvDTV97JnQwShgvlFezdO9Zu15X0xyRTuh2kjo4iqraer464pq102vT8+jbNZDoYF+7XndkjxD6RQSycFOW7pWudXg6odvJ0NjORHTy4TMXnHYpraxhR9YFxvez/8bfIsLcMfFknC9lSwfuP69poBO63bi5CTcMimTD0XxKKl2rsdTm4wXU1Ckm2mi5f3NmDI6ii7+X7pWudXg6odvR9MRIquvqWXPItaZd0tLzCfTxYEj3zqZc38fTnTtHduer9DwyC8pNiUHTHIFO6HY0JDaY6GBflu93nZ2MjHLFPK7tE4anu3k/TneNjMXDTXj76yzTYtA0s+mEbkciwvTESDYeK3CZft6HckrIK62yWXfFlgoP9OHGxCg+3nnG5aa0NK2ldEK3s+mDIqmtV3xx6JzZoVhFmmWxlD2W+zfnvtHxlFfX8dGOM2aHommm0AndzhJjgugW4styF2mpm5aRx+CYIEIDvM0OhUExQQyPC+Gtr7Ooq9cljFrHoxO6nYkI0wdFsfl4ARfKq80Op10ulFez50yR3RcTXc3cMXFkX7zEGt0rXeuAmk3oIuIjIttFZJ+IHBKRpxo5Zo6I5IvIXsvH/bYJ1zWkJkZSV69YddC5p102HM1HKUyfP7/c5AERRAf76hJGrUNqyQi9CpiolBoMJAFTRWRkI8f9WymVZPl43apRupiEqE7Eh/qz4oBzV7usTc8jNMCLQdFBZofyjYZe6dszL3DwbLHZ4WiaXTWb0JWhzPKlp+VDT1C2gzHtEsmWE4Xkl1aZHU6b1NUr1h/NZ1yfcNzcbLeZRVvcNqwbfl7uvLk5y+xQNM2uWjSHLiLuIrIXyAPWKKW2NXLYzSKyX0QWi0i3Js4zT0R2isjO/PyOs3FyY1IHR1KvYJWTVrvsOX2R4ks1THSg+fMGQb6e3Do0hs/25ZBXqnulax1HixK6UqpOKZUExADDRWTgFYd8BsQppRKBNcDbTZxngVIqRSmVEhZmfpmbmfp2DaRnmD/L9znntEtaRh7ubsKY3qFmh9Koe6+Jo7qunve3njY7FE2zm1ZVuSilioA0YOoVjxcqpRrmDl4HhlonPNclIqQmRrE964JT7rizNj2flO6dCfL1NDuURvUIC2Biv3De33aKqlrdK13rGFpS5RImIsGWz32ByUD6FcdEXvblDOCINYN0VamJkSgFnztZTXpu8SWO5JY45HTL5eaOjqegrNolO1xqWmNaMkKPBNJEZD+wA2MOfbmIPC0iMyzH/MJS0rgP+AUwxzbhupbeXQPp2zWQ5U62gfS6DOP+hyPVnzdmdK8u9OkawMJNmbpXutYhtKTKZb9SKlkplaiUGqiUetry+Hyl1DLL548ppRKUUoOVUhOUUulXP6vWIDUxkp2nLpJbfMnsUFpsbXoe0cG+9A4PMDuUqxIR7hsdz+HcErZlXjA7HE2zOb1S1GTTE43ZqhVOMkqvqq1j8/ECJvQLQ8SxyhUbc1NyNJ39PHlTLzTSOgCd0E3WIyyAAZGdnGbaZXvmBSqq6xx+/ryBj6c7d4yIZfXh85wurDA7HE2zKZ3QHUDq4Ej2ninizAXHTzhp6fl4e7gxqodjlis25u6RcbiL8PaWLLND0TSb0gndAaQOigJgpRNUu6Rl5DGqZxd8vdzNDqXFIoJ8mJ4Yyb93nKFU90rXXJhO6A4gtosfiTFBDj/tkllQTmZBuUM142qp+0bHU1ZVy+Jd2WaHomk2oxO6g0hNjOTA2WJOFTrunpgNm1k4Y0JP6hbMkNhg3vo6i3rdK11zUTqhO4gbBhnVLo48Sk/LyKNnmD+xXfzMDqVN5o6J51RhBWstf5g0zdXohO4gYjr7kRwb7LDli+VVtWw7ecFpqlsaMzUhgqggH90rXXNZOqE7kOmDIjmcW8LJ/LLmD7azr08UUl1X75TTLQ083N24e1QcX58o5EhuidnhaJrV6YTuQBoWGTnitMva9DwCvD1IiQsxO5R2uX14N3w83XhL90rXXJBO6A4kMsiXYXGdHW7aRSnFuow8xvQKxcvDuX9kgv28uHlIDJ/uPUthmXNuLqJpTXHu304XNH1QJBnnSzl2vtTsUL6Rfq6U3OJKp54/v9x9o+Oorq3ng226V7rmWnRCdzA3DIpExLGmXdIyjKqQ8X1dY1OSXuGBjOsTxjtbT1FdW292OJpmNc6X0JWCSte9oRXeyYfhcSEs35/jMC1f09LzGBjdifBOPmaHYjX3jY4jv7TK6Tfq1rTLOV9C3/UW/HMknFxvdiQ2kzo4ihP55aSfM3/apbiihl2nLjp1dUtjru0dRs8wf97cnOUwfzg1rb2cL6FHDgZPX3hnBnzxB6hxvu3bmjNtYARu4hgtddcfy6deOf5mFq3l5mb0St+fXcyuUxfNDkfTrML5Enr0EHhgA6T8CLb8A16bCOcPmR2VVYUGeDOqZxeHmHZZl55HiL8Xg2OCTY3DFn4wJJogX0+90EizH6WMfFVeYJPTO19CB/Dyh9Tn4Y6PoTwfFoyHr/8B9a5zgys1MYqswgoO5Zh3v6CuXrHuaD7j+oTh7ub4m1m0lp+XB7OHd2PVwXNkX3T81sWaE1IKLpw0poo/vg+e6w2vXAOHPrXJ5ZwzoTfocz38ZAv0mgyr/wDvzoRi1+imNyUhAnc3MbXaZX92ERfKq12muqUx94yKQ0R4d8sps0PRXEXpOdj/ESz9KbyYCC8lw2cPw6mvoccEmPky9Eu1yaU9bHJWe/IPhdnvw5534fNHjb9+05+HQbeYHVm7hPh7MbpXKMv35/D7qX1N2e4tLT0PN4FxfVw3oUcH+zJ1YAQfbj/NLyb1xt/b+X8lNDu7dBGyNkHmBqNYoyDDeNwnCOLGwuhfQPy1ENoHbPx77Bo/vSIw5B6IGwOfzIP//AiOroIbngNf5537TU2M5HeL97M/u5jB3ez/faRl5DMktjPBfl52v7Y9zR0dz4r9uXyyO5u7R8WZHY7m6KrL4fRWyFxvJPHcfaDqwdMPYkdB8p1GAo9IBDf7bgTjGgm9QUgPuG8VbHoe1v0ZTm2Bm14x/nGd0JQBEfzB/QDL9+fYPaHnlVRy4Gwxj0zpa9frmmFIbDCDuwXz5uYs7hzRHTcXvF+gtUNtNZzd9W0CP7Md6mvAzRNihsG1v4Me4yA6BTzMHfy4VkIHcPeAcb+DnpPgkx/D2zPgmp/BxCfAw9vs6FolyM+Tsb3DWLE/l8em9bdrolmXkQ8452YWrSUizB0dx8OL9rL+aL7LlWhqrVRfB+cOfJvAT22BmnJAjLLpkQ8ZCTx2lFGg4UBcL6E3iBkKD26E1Y/D1/8HJ9LgBwuga4LZkbXK9EGRrE3PY8+ZIoZ272y366Zl5BHRyYf+kYF2u6aZpg2M5H87HWHh5kwmdHMDdy/wDrT5nKfmAJSCgmOWBL4eMjdCZZHxXGhfSLrDSODdR4OfY3cbdd2EDpbyxhegz1TjjvOCCXDdkzDiIXBzjgKfyQld8frEjeX7c+yW0Ktr69l4rIAbB0eacjPWDF4ebtwzKo7iL5+DZz80HnT3Bv8wCAgz/nvlx+WP+4Ua7w4151B0xhh9N4zCSy3VZEHdjAqU+GuNj06R5sbZSs3+BIqID7AB8LYcv1gp9WQTx94MLAaGKaV2WjPQdukzBR7aAp/9Ar74Lzj6Bcx6BYKizY6sWZ18PBnXN4yVB3J5YvoAu0y77Dx1gbKq2g4x3XK5OZ5f4e/5IYc6jSVhxPXGGofyAijPg7LzxoKQsjxj/rQxviGWRB9uVF9d7Y+AV4Ae/dtTecF3E/iFk8bjfqHfJu8e46BzvFP/f2nJkKIKmKiUKhMRT2CTiHyulNp6+UEiEgg8DGyzQZztFxAGsz+A3e/AqsfglVHG6H3gzWZH1qzUxEjWHD7PzlMXGR5v+7d8ael5eLm7MbpXqM2v5TD2LcL/y99xJPAabrvwAJuSptDZv5EbXEpBZbEl0ecbyb4h8Zdd9vm5g8ZzlcWNX8/DB/wvS/zfeRdw+ePhxh8KPfpvHaXgZBocW2Mk8PMHjce9AiFuNAz7sZHEwwc4zbv1lmj2p0QZa88b9kTztHw0th79GeAvwCNWi87aRGDovd+WNy6ea4zWb3jWqBl1UJP6d8Xbw5h2sUtCz8hnRI+QjlOTfXgZLHnI+AWf8Abl/9zBZ/tzuKexEkYRoxTWNxhCezV/7tpqqGhI9g1/BBr+EFi+Ls01bsKV5zcx+hdj7jYoBqb+BbqPau937NqUgjVPGPfO3L0hdoRRFBE/DqKSXfqPY4u+MxFxB3YBvYCXlVLbrnh+CNBNKbVCRJpM6CIyD5gHEBsb2+ag261LT5j7BWx8Dtb/1VjBddO/jETvgAK8PZjQN5yVB87x5I0JNl2Gf+ZCBcfzyrhjuIn/f+zp+JfGH/boFJj9If29A+jbNZAle842ntBby8MLOkUZH835ZvSf/92PMst/T6yFd2fBrW9B32ntj80V1dXC8odhz3sw7H64/n/A03XaPjenRe81lFJ1SqkkIAYYLiIDG54TETfgeeA3LTjPAqVUilIqJSzM5NWH7h4w/lH40Wpw94S3UmHNfKh1zG3JUgdHUlBWxbbMQptep2Eziw5Rupe1GRbdBeH94M6PwTsAgFnJ0ew+XcTpQjv3d2kY/Yf2hu7XwICZRlKa8JjRu+j+r4wpgkV3wp737RubM6iphI/vNZL5uN8bCws7UDKHVvZyUUoVAWnA1MseDgQGAutEJAsYCSwTkRRrBWlTMSnw4CYYOgc2/x1emwR5R8yO6nsm9gvH19Pd5i1116bnER/qT3yoY9XXWt3ZXfDBDyG4G9y95DsrimckGaPppXvPmhVd4/y7wL2fGVNDS39i/LxqhqpS+OBWSF8OU/8ME/7LqW9utlWzCV1EwkQk2PK5LzAZSG94XilVrJQKVUrFKaXigK3ADIeqcmmOlz/c+CLcvsiYz3x1HGx9xaG6N/p5eTCxfzirDp6jts42cV2qrmPLiUKXbsYFwPnD8N7N4NfZSOb+3735Gx3sy/D4EJbsPWt6++Lv8Q6AOz6ChB8Y7yhXP+5QP6emKC+Et2803nHd9Kqx8KeDaskIPRJIE5H9wA5gjVJquXoouBkAACAASURBVIg8LSIzbBuenfWdBj/ZCj0nwqpH4b2boMRxtii7MTGSwvJqtpy0zbTLlpMFVNXWu8xm0I0qPAHvzDSqTO5Z1mTp6qykaE7kl5vavrhJHl5w8xswfJ5x42/pT6GuiVJKV1ecDW9ONf5Iz34fBs82OyJTNZvQlVL7lVLJSqlEpdRApdTTlsfnK6WWNXL8eKcanV8pIAxu/xBu/LvRs+Gfo2zWu7i1xvcNx9/LdtMuaen5+Hm526WSxhRFZ4xkrurgnqUQEt/koTcMisDTXfh0j4NNuzRwc4Npf4UJf4B9H8C/74LqDtbTveAYLJxqtKu9+5Pv3Ci+WF7Nzz/cw9Hz5m/jaE+uU4BpTSLGnPqDm6BLL/h4DnzyQNM1xXbi4+nOdQO6surQOWqsPO2ilGJteh6je4Xi7WHfDnF2UXreSOaVJXD3pxB29aZjwX5ejO8bzmf7cqird7BplwYiRt+i6c8b5bfv3mS0cu0IcvYaybzmknFf4YoKtb+sSuezfTn8dVV6EydwTTqhX01DeeP4x+DAx/DKGKPE0USpiVEUVdSw+bh1t7A6nlfG2aJLrrk6tOKCkexKc41qlsjBLXrZTcnR5JVWseWEbSuL2m3Yj4xSxpzd8OYNUGL+XrQ2lbXJqErz9DV+P6OSvvP0rlMXWLTjDFFBPnx5JK9DjdJ1Qm/Od8obPYxfmC//21gwYoJr+4QS6O1h9Z2M1qY3lCu62A3RqlLjBmjhMWOlcOyIFr90Yr9wAr09WOJo1S6NSZgFdy6GotPwxvVQcNzsiGwjfSW8+wOjx8rcL763uKu2rp4/fHqQyCAfPn7oGnw93fnX+hMmBWt/OqG3VEwKPLDR2Ehj0wvw+iTIs//bOW8PdyYndOWLQ+eoqq2z2nnTMvLoFxFIZJCv1c5puuoK+GC2sQHBrW9DzwmtermPpztTB0aw6uA5Kmus929tMz3GwZzlUFMBC6+Hs7vNjsi69i0y7hV0TTD2PWjkhvZbX2eRfq6UJ28cQHSwL7OHd2PZ3hzOFl0yIWD70wm9NbwDYMZLMPtDo/plwTjY9qrdy8ZuTIyitLKWTcesM+1SUlnDzqyLrlXdUlsNH90DpzYbbZP73dCm08xKjqasqpYvj5y3coA2EpVsvJv08jdK+U6uMzsi69j6Cnz6gNGH5d5lRk3+Fc4VV/LCmqNM6BvGlIQIAO4f2wOA1zeetGu4ZtEJvS363WBsTh0/Dj7/Hbx/s13nLUf3CiXI19Nq0y6bjhVQW69cZ3VoXa2xDeHxNUa1Ujv2lx3Zowvhgd4s2eM45avN6tIT5q6G4Fh4/1aHqdJqE6Vg7f8YZcT9UuGOj40+9Y14ZsVhausVT80Y+E3b5+hgX2YkRbFo+xkulpszTWpPOqG3VUA43PFvo2Pj6a1G98b9Hxt33W3My8ONKQldWXP4vFWmAtam5xHk60myCfuWWl19PSz7ORxZBlP+12jG1g7ubsKMwVGsP5pHUYUTJYROkXDfSogaAh/fBzteNzui1quvh5WPwIa/QvJdxrRZE0v5NxzNZ8X+XH46oRexXfy+89yD43pyqaaOt7dk2T5mk+mE3h4ikDLXmFvvHA+f3A9/7g5vTjf2NM3abLPeMNMToyirqmX90fx2nae+XrEuI59r+4Th4e7kPw5KGe+Y9n0A4/8LRv3UKqedlRxNTZ1ixQEnqx7x7WyUaPaZAit+Y/xMOtrK16bU1RhbSO54Da75Ocz4R5NdEitr6pi/9CDxof48MK7H957v0zWQ6/qH8/bXWVRU19o6clM5+W+wgwjtBT9aY7wdHP5jqC4zfnneugH+HGvMZa5/1hjJW6k65pqeXejs1/5pl4M5xRSUVTHRFapbvnrq2wQw7ndWO21CVCd6hQew1JmmXRp4+cEP34ekO2Hdn2Dlb409Mx1ZdQV8eDscXAzX/Tdc/8er9mV5df1JsgoreHpmQpNrKB4a35OLFTX8e8cZ28TsIFy3MbC9uXtAn+uND4BLRUbNetZGY4/CtD8abc08/SB2JMSNNZosRSa1qT+zp7sbUwdGsnTvWS5V1+Hr1bbFQGnp+YjAtb2dPKFveM6oPkqZC5OfsWpjJhFhVlIUz60+SvbFCmI6+zX/Ikfi7gEzXwa/LvD1S1BRaPQ8ccRN0y8VGU3TzmyD1Bch5b6rHp5VUM7L646TmhjJ2Kv8DA/tHsKwuM68vjGTu0Z2x9PZ3402wTW/K0fgG2zcPJ36J3hoE/wuE25715gLLMk1RpOvT4K/xBk3rja/BDl7WjV6Sk2MpKK67puWt22xNiOPpG7BdAlwwF/ultr2Kqx9BgbdBjf8zSZd9mYmGSVyS/c64SgdjH+T65+ByU8bN0k/uM2o0XckpefhrelGJ8xb32o2mSulmL/sEF7ubjyROqDZ0z80vidniy7x2T4n/X/YAnqEbi9+ITBghvEBxqYFWRu/HcEfW2087h1k9MKOH2uM4rsObHKLrBHxIYQGeLF8fw43DGr9ZrYFZVXszy7iV9f1aet3Zb497xnz5v1SjX1ibbSdWLcQP4Z278zSvWf5yfiezrt59uiHjX00l/0c3p5hrJz1d4CtBi9mwTuzjJ2d7vzIaJDXjFUHz7HhaD7zUwfQtVPzfc8n9A2nb9dA/rX+BLOSou2yP6+96YRuloAwGPgD4wOMUXvWpm+T/NHPjcd9O0P30cb0TNxYCO//zQjUw92NqQMjWLwrm/Kq2lZvGbc+Ix+lcN7680OfGomp50S4ZaHNtxablRTFE0sPcSS3lAFRnWx6LZtKvtMYYHw8BxZOMW6cBpu4Q9X5w0ZrhtpKo2lat2HNvqSsqpanPjvMgMhO3DOqe4suIyI8OL4Hv/r3PtIy8pjUv2t7I3c4esrFUXSKhMRbjYVLv9gDvzpkzHP2nQ7n9huj0FdGwbO94KN7jTK0/KOkDoqksqaer9JbP+2SlpFHWKA3AyKdMDkd/QL+cz90G2Hc9LPDfPD0xCg83MTxNr5oi77TjF7w5flGqwCzNnU5swPenGYMUuaualEyB/j7l0c5V1LJH28a2KrqrNTEKKKDfV22HYBO6I4qKMbo7TzrZfjlAXh4v3Fjq9d1kL3DKEN7eRgjPr2GV31fpmTTAqPXdwvL0mrr6tlwNJ8JfcOc761n5gb4993GdNQd/zYqOewgxN+LcX3CWLYvh3pH7cDYGt1HwX2fGz8zC6fC6W3Nv8aaTqyFd2YY7xbmrjLefbbAkdwSFm7O4vbh3RgS27lVl/R0d+PHY+PZkXWRnVkX2hK1Q9MJ3Vl07m7cUP3Bq8bo/ee74ca/I3FjucY9nbvyX4D/GwLPD4BP5sHud415ySbsOnWRkspa5+uumL3TKGkLiYe7PgGfILtefmZyNLnFlWzLdJFk0DXBaBXg18VoL3x0tX2ue+hTeP82CLF0NO0c16KX1dcrHl9ykCBfT343pV+bLn3bsG509vN0yVG6TujOSMRY3j10DtzyBhl37mBi1XPsSZxvdBM8/hUs+xn8fTC8MMjY0eb4V8aSeIu0jHw83IQxvR3ghlhLnTsA7/0A/MOMudZG+nnY2uT+XfH3cmeJo2580RaduxtJNawPfDjbaIJlS7veMlavxqQYzcQCWj6oWLw7m12nLvLotH509vdq0+X9vDyYc028S7bW1QndBQzpHkJFYA9eLr3WKPd65Lixld60ZyFqMBz+zEiEz/eHVY/B2d2kHTnPsLgQAn08zQ6/ZQqOGVUQXgFGc6bACFPC8PVyZ0pCBCsP5jpHB8aWCgiDe5cbza8+fQC+/of1r6EUbHwePnsYek823mH5trzdxMXyav608ggp3Ttzy5CYdoVyz6juLtlaVyd0F+DmJkxPjGT90XyKL9UYI/jw/jBiHvzwPfjtUaMGvttw42bqaxP4Z9ED/MZ7CVzINDv85l08ZUwHiBj7gJpZkYEx7VJaWcu6dtT/OySfTkZP9QEzYfUfYM2T1msVoBSsecJYfzHoVqM3fSvvffz1i3RKKmt5ZtbAdt/36ezvxe3DY12uta5O6C4iNTGSmjrFmsONtHn19DHq32e/D789ytaE+eQTTErmK/BSErw+Gba/Zuye7mhKzxnJvLrMKK+7YkMDM4zu2YXQACfrwNhSHt5wy5vGitvNLxpTd3Xt7H9SV2uc5+v/Mza2vmkBuLfuneHu0xf5cPsZ5o6Oo7+VqrLuH2vsKetKrXV1QncRSd2CiQ72Zfn+ZpKMb2der7iWRwL+F/XLA0avjOoyo8fH3/oYy64PLHaMDYfLC41kXp5vvD2PGGR2RIBR/3/j4EjWpucZ74hcjZu7sU/puEeNhVsf3d32LqI1lfDxvcZ5xj1qbGzdysVfDbsQRXTy4WErLoKLCvZlZlK0S7XW1QndRYgIqYmRbDpWcNUfzsqaOjYfL2RC33AkOBbG/Mro7f7gZhj5E8jdb/QSf643fPqQUVpmRjOnymJ47yajUuf2RcYNNAcyKyma6rp6Vh10sg6MLSUCEx4z7sNkfG5s+3apqHXnqCqFD26F9OUw9S/G+dqwwvadLac4klvCkzcOIKCVi+ea8+C4Hi7VWlcndBeSmhhFbb1i9eFzTR6zLfMCl2rqvr+ZRcRAo9fHrw4au6gn3GT8Ir57k1EKueq/jJ3W7dF+tbrcKGk7f9iY+48fa/trtlJiTBDxof586krVLo0ZMQ9uecNY+/DWdGMKrCXKC43WAlmbjSmWkQ+26fLnSyp5fs1RxvUJY+pA698I7+1irXV1QnchA6M7ERvid9WWumnpefh4ujGqRxMlf27uRpuBmf+A3x6D294xRsfbFxhb7r08HDY8e9Ua93aprYJFd0L2drj5tW+7VzoYEWFmUhTbMi+QW+w6N9UaNfBmo7/KhUxjVWlhM5UhxWeN1Z95h437NoN/2OZLP7P8MNV19Tw1I8Fm/XNcqbVuswldRHxEZLuI7BORQyLyVCPHPCgiB0Rkr4hsEpHmW59pVtcw7fL1iUIKy76/sYZSirXpeVzTMxQfzxa02/X0MSoeLDdTSX3RaOy09o9GjfsbU2DHG1BhpUU2dTWweC6cTDM2NEi4yTrntZFZSdEoBcuctQNja/ScCHM+M6ZRFk4xNt5uTMFx4/nSXOO+R99pbb7kxmP5LN+fy0/H9yIu1L/N52nO5a11a+rsuz+wtbVkhF4FTFRKDQaSgKkiMvKKYz5QSg1SSiUBfwWet3KcWgtNT4ykrl6x6tD33xqfLCjn9IUKJvRtQ+9zvxCjnencz41WBJPmQ2URrPg1PNfHsiHBJ22/eVZfD0t+YkzzTHvWaCDl4OJC/UnqFsySjpDQAaKHGguQPHyMXbkyN373+Zy9RjKvuWQsGIob3eZLGbsQHSKui1+juxBZm6u01m02oStDmeVLT8uHuuKYksu+9L/yec1+BkR2okeoP8v3fX/aJc3SwKvdm0EHx8LY3xiLlx7YaMyP5uyBxffBs72NxHxyXctvpipl/GE48JHxh2LEvPbFZ0ezkqI4kltCxjnXWnHYpLA+RlIPijYWqx1eZjyetdnYmcvT13g+cnC7LrNgw0kyC8p5eubAlr2bbKfLW+s6c5+eFs2hi4i7iOwF8oA1SqnvdfERkZ+KyAmMEfovmjjPPBHZKSI78/Pbtxem1riGaZdtmYXklVZ+57m0jDz6dA2w3o47IhCZaGwR9qtDxqKfATPhyGdGueELCfDFH4zKmaZupjYsONn1Joz5tfGHwomkDo7C3U1Y4godGFsqKNpo6hWZZJQkrvydkdwDI41k3s61AqcKy/lH2nGmJ0ZybR/77KTV0Fr36Pmydm0YY7YWJXSlVJ1lOiUGGC4iAxs55mWlVE/g98DjTZxngVIqRSmVEhbm5FueObDpiVHUK2MDgAZlVbVsz7xgu2Zcbu7QY5zRHfK3R40WBFFDjN2EXh0L/xwJG/8GRae/+7r1f/12wcmk+baJzYZCA7wZ0yuUZXtdpANjS/mFGP10el0H21+F8AFGkg+KbtdplVI8uewQnm7CE9PteyvOFVrrtqrKRSlVhLEz5tSrHLYImNWeoLT26RsRSO/wgO9Mu2w6VkBNnWr/dEtLePoaNzRv/8ByM/UFY6OOr56GFwfBwmmwc6GR4Nf9r7GB8dS/2GTrOHuYlRzF2aJL7Dx10exQ7MvLz1jCf+tbRqmrFZqlfXHoHOsy8vnV5D5EBDW/C5E1uUJr3ZZUuYSJSLDlc19gMpB+xTG9L/tyOnDMmkFqrTc9MZIdpy5wrtiYdlmXkUegjwdDu7euf3S7+YUYy8jnrjJ6uk98wtikePmvjAQ/YCbc+JLNto6zh+sHRODr6d6xpl0auHsaf7y9A9p9qnLLLkT9IgKZc01c+2NrA2dvrduS36JIIE1E9gM7MObQl4vI0yJi2SCTn1lKGvcCvwbutVG8WgulJkahFKw8kItSirSMPK7tHWbubuedu8O1v4WfboMHNhhlkD943eZbx9mav7cH1yd0ZeWBXKprnbvszUx//+oYucWV/E8rdyGypstb6zrjje6WVLnsV0olK6USlVIDlVJPWx6fr5RaZvn8YaVUglIqSSk1QSl1yNaBa1fXKzyAfhGBrDiQy+HcEs6XVDG+LeWKtiBiVEGk3Acebetp7WhmJUVTVFHD+qP6Zn9bZJwr5Y1NmfwwpRtDu4eYGktDa91XNzjfKN153+dqzUpNjGTXqYu8v824ETne2XYnciJjeocS4u/lWhtf2IlSiseXHKCTjwePTmvbLkTW5MytdXVCd2HTE6MA+GDbaRJjgggLtP1Gyh2Vp7sbqYmRfHnkPKWVLtiB0YYW78pmR1b7diGyNmdtrasTuguLD/UnIcroHe10e4c6oZlJ0VTV1n+nXFS7uqKKav70eTpDu3fm1qHdzA7nG87aWlcndBd342BjlD7RHuWKHdyQ2GBiQ/xY2lFaAVjBX1ZlUHyphj9aYRcia3PG1ro6obu4OdfE8eZ9wxjcreV7N2ptIyLMSori6xMF5JVUNv+CDm736Yss2nGaOddYbxciazJa63blLSdqrasTuovz8XTX0y12NDM5mnoFy5y8yZOt1dbV88SSg4QHevOrydbbhcjaHhrfgyInaq2rE7qmWVHPsAAGRQd1zEVGrfDu1lMcyilhfmqC1Xchsqah3UMYHhfiNK11dULXNCubmRTFwbMlHM8ra/7gDiivpJK/rT7K2N6h3DDI+rsQWduD43s4TWtdndA1zcpmDI7CTWCpHqU36o8rjlBdV88zMwfabBcia3Km1ro6oWualYV38mF0r1CW7s1B2WMPViey6VgBy/bl8NC4njbdhcianKm1rk7ommYDM5OiOX2hgt2ni8wOxWFU1dYxf+lBunfx46HxPc0Op1WcpbWuTuiaZgNTErri7eGmp10u89qGk5wsKOepGQl22YXImpylta5O6JpmA4E+nlw3oCvL9+c6RXWErZ0urOD/1h7nhkERTttTyBla6+qErmk2Mispmgvl1Ww81rE7MBq7EB3Ew014ItW+uxBZkzO01tUJXdNsZFyfMIL9PFmyx/HL3Wxp9eHzpFl2IYoM8jU7nHZx9Na6OqFrmo14ebgxfVAkaw6fp7zKOZaOW1t5VS1PLTtEv4hA7jVpFyJrcvTWujqha5oNzUqO5lJNHasPd8wOjC+tPUZOcSV/nDXQ3N2yrMiRW+u6xr+wpjmoobGdiQ725dMOOO2Sca6UNzZmcltKDClx5u5CZE2O3FpXJ3RNsyE3N2FmUhSbjuWTX1pldjh2o5TiiSUHCfDx4NFp/c0Ox+octbWuTuiaZmOzLB0Yl+/vOKP0T3afZXvWBR6d2o8QB9mFyJoctbWuTuiaZmN9ugbSP7ITSzrIxhdFFdX878ojJMcGc1uK4+xCZG2O2FpXJ3RNs4ObkqPYd6aIzIJys0OxuWe/yOBiRbVD7kJkTY7YWlcndE2zgxmDo5EO0IFx75kiPth+mjnXxJMQFWR2ODbnaK11dULXNDuICPJhZHwXluw567IdGOvqFY8vOUBYgDe/mtzb7HDswtFa6+qErml2Mis5iqzCCvZlF5sdik28t/UUB8+W8ETqAAJ9PM0Oxy4crbVuswldRHxEZLuI7BORQyLyVCPH/FpEDovIfhH5SkS62yZcTXNeUwdG4uXuxpI9rjftkldayXNfZDC2dyipiZFmh2NXDa11X1lnfjuAlozQq4CJSqnBQBIwVURGXnHMHiBFKZUILAb+at0wNc35Bfl6MrFfOMv351DrIDfRrOV/Vhyhqraep2YkOMUuRNbU0Fp356mL7DC5tW6zCV0ZGjZH9LR8qCuOSVNKVVi+3ArEWDVKTXMRs5KjKSirZvOJQrNDsZqvjxewdG8OD47rQY+wALPDMcU3rXVNHqW3aA5dRNxFZC+QB6xRSm27yuE/Aj5v4jzzRGSniOzMz+/YLUW1jmlCvzA6+Xiw1EWmXSpr6nh86UFiQ/z4yYReZodjmobWul+lm9tat0UJXSlVp5RKwhh5DxeRgY0dJyJ3ASnAs02cZ4FSKkUplRIWFtbWmDXNaXl7uHPDoEhWHTrnUCsM2+JSdR0/ensHmQXlPDNroNPtQmRtjtBat1VVLkqpIiANmHrlcyJyHfAHYIZSquM0rdC0VpqZFE1FdR1rDp83O5Q2q6iuZe5bO/j6RCHP3jKYcX30AM0RWuu2pMolTESCLZ/7ApOB9CuOSQZexUjm5tfuaJoDGxEfQmSQD0udtBVAQzLfllnI87cN5pah+pZZA7Nb67ZkhB4JpInIfmAHxhz6chF5WkRmWI55FggAPhaRvSKyzEbxaprTc3MTZgyOYsPRfC44WPvV5pRX1TLnzR1sz7zACz9M4qZkncwvZ3Zr3ZZUuexXSiUrpRKVUgOVUk9bHp+vlFpm+fw6pVRXpVSS5WPG1c+qaR3brORoausVK5yoA2NZVS1z3tzOzqwLvDg7mZlJ0WaH5JDMbK2rV4pqmgn6R3aib9dAPnWSapfSyhrmLNzO7tNFvHR7MjMGR5kdksMys7WuTuiaZpKZyVHsPl3E6cKK5g82UWllDfcu3M6eM0X83+3JpCbqZN4cs1rr6oSuaSZpGOU6cgfGksoa7lm4nf3Zxbx8RzI3DOpYy/rbyqzWujqha5pJYjr7MTwuhCV7HbMDY/GlGu5+YzsHsot5+c4hTB2ok3lrmNFaVyd0TTPRzOQoTuSXcyinxOxQvqO4ooa739jG4ZxiXrlrKFMSIswOyemY0VpXJ3RNM9H0QZF4uotDdWAsqqjmzje2kp5byr/uGsrkAV3NDskpmdFaVyd0TTNRsJ8X4/uGs2xfDnUOsEHCxfJq7nx9G0fPlfHq3UOZ1F8n8/awd2tdndA1zWSzkqLJK61ii8kdGC+UV3PH69s4llfGgnuGMqFfuKnxuAJ7t9bVCV3TTDapfzgB3h4sMbHapbCsijte28rJ/DJeuyeF8X11MreWHw6LJcTfyy6tdXVC1zST+Xi6M3VgBKsOnqOyps7u1y8oq+KO17aRWVDO6/em6EZbVubr5c69o+Ls0lpXJ3RNcwCzkqIpq6rlqyP27W2XX2qMzE9dKGfhnGGM7a2TuS3cM6o7fl7uvLretqN0ndA1zQGM6tmF8EBvu0675JVWcvtrWzl9oYKFc4Yxuleo3a7d0XT292L2sFiW7csh+6LtVgbrhK5pDsDd0oFxXUYeRRW279KXV1LJ7Qu2cvbiJd66bzjX9NTJ3Na+ba2babNr6ISuaQ5iVnI0NXWKFQdybXqd8yWVzF6wldziSt66bxgje3Sx6fU0Q0Nr3X/vOGOztsk6oWuag0iI6kTPMH+W7rHdUvFzxUYyP19SydtzhzNCJ3O7amit+9FO2zTt0gld0xyEiDArKZrtWRdsMs+aW3yJ2Qu2kF9axTs/Gs6wuBCrX0O7ut5dA3n//hH8aEy8Tc6vE7qmOZCGTSOWWbmhU07RJWYv2EphWTXv/Gg4Q7vrZG6W0b1C8XS3TerVCV3THEhsFz+Gdu/Mkj3W68B41pLML1iS+ZDYzlY5r+Z4dELXNAczKymKo+fLOJLb/kUoZy5U8MNXt3Cxopr37h9Bsk7mLk0ndE1zMNMTo/Bwk3ZvfHHmQgWzF2yl5FIN798/gsHdgq0UoeaodELXNAcT4u/FtX3CWLYvp819tE8XGsm8rKqWD348ksQYncw7Ap3QNc0BzUyKIre4km2Zre/Qd6qwnNkLtlBeXcv7949gYHSQDSLUHJFO6JrmgCYP6Iqfl3urp12yCsr54atbuVRTxwf3j9TJvIPRCV3THJCflwdTEyJYcSC3xR0YT+aX8cMFW6iuq+eDH49kQFQnG0epOZpmE7qI+IjIdhHZJyKHROSpRo65VkR2i0itiNxim1A1rWOZmRxNaWUt61qwfdmJ/DJmL9hKbZ3iwx+PpH+kTuYdUUtG6FXARKXUYCAJmCoiI6845jQwB/jAuuFpWsc1umcXQgO8WNJMK4DjeaXMXrCVeqX4cN5I+kYE2ilCzdE0m9CVoczypaflQ11xTJZSaj9Qb/0QNa1j8nB3IzUxirXpeRRfqmn0mGPnS5m9YBtKwaJ5I+nTVSfzjqxFc+gi4i4ie4E8YI1Sapttw9I0DYwOjNV19aw6+P0OjBnnSrn9ta24iZHMe4XrZN7RtSihK6XqlFJJQAwwXEQGtuViIjJPRHaKyM78/Py2nELTOpTBMUHEh/p/b9ol/VwJd7y2FXc3sSTzAJMi1BxJq6pclFJFQBowtS0XU0otUEqlKKVSwsL0Vlea1hwRYWZSFFszC8ktvgTA4ZwS7nhtG57ubiyaN4oeYTqZa4aWVLmEiUiw5XNfYDKQbuvANE0zzEqKRilYtjeHQznF3Pn6Vrw93Fg0byTxof5mh6c5kJaM0COBNBHZD+zAmENfLiJPi8gMABEZJiLZwK3AqyJyyHYha1rHEhfqz+Buwby37RR3vr4N2drJuQAABONJREFUX093Fs0bSZxO5toVPJo7wFK9ktzI4/Mv+3wHxvy6pmk2MCspiqc+O0x0sC+L5o2kW4if2SFpDqjZhK5pmvluGRrDuZJK7hrRXSdzrUk6oWuaEwj08eSxaf3NDkNzcLqXi6ZpmovQCV3TNM1F6ISuaZrmInRC1zRNcxE6oWuaprkIndA1TdNchE7omqZpLkIndE3TNBchSqnmj7LFhUXygVNtfHkoUGDFcKxFx9U6Oq7Wc9TYdFyt0564uiulGm1Xa1pCbw8R2amUSjE7jivpuFpHx9V6jhqbjqt1bBWXnnLRNE1zETqha5qmuQhnTegLzA6gCTqu1tFxtZ6jxqbjah2bxOWUc+iapmna9znrCF3TNE27gk7omqZpLsLpErqITBWRDBE5LiKPmh0PgIgsFJE8ETlodiyXE5FuIpImIodF5JCIPGx2TAAi4iMi20VknyWup8yO6XIi4i4ie0RkudmxNBCRLBE5ICJ7RWSn2fE0EJFgEVksIukickRERjlATH0t/04NHyUi8kuz4wIQkV9ZfuYPisiHIuJj1fM70xy6iLgDR4HJQDbGptW3K6UOmxzXtUAZ8I5SaqCZsVxORCKBSKXUbhEJBHYBsxzg30sAf6VUmYh4ApuAh5VSW82Mq4GI/BpIAToppVLNjgeMhA6kKKUcapGMiLwNbFRKvS4iXoCfUqrI7LgaWHLGWWCEUqqtCxmtFUs0xs/6AKXUJRH5CFiplHrLWtdwthH6cOC4UuqkUqoaWATMNDkmlFIbgAtmx3ElpVSuUmq35fNS4AgQbW5UoAxlli89LR8OMbIQkRhgOvC62bE4OhEJAq4F3gBQSlU7UjK3mAScMDuZX8YD8BURD8APyLHmyZ0toUcDZy77OhsHSFDOQETigGRgm7mRGCzTGnuBPGCNUsoh4gJeBH4H1JsdyBUUsFpEdonIPLODsYgH8oE3LVNUr4uIv9lBXWE28KHZQQAopc4CzwGngVygWCm12prXcLaErrWBiAQA/wF+qZQqMTseAKVUnVIqCYgBhouI6VNVIpIK5CmldpkdSyPGKKWGANOAn1qm+czmAQwBXlFKJQPlgEPc1wKwTAHNAD42OxYAEemMMaMQD0QB/iJylzWv4WwJ/SzQ7bKvYyyPaU2wzFH/B3hfKfWJ2fFcyfIWPQ2YanYswGhghmW+ehEwUUTeMzckg2V0h1IqD/gUY/rRbNlA9mXvrhZjJHhHMQ3YrZQ6b3YgFtcBmUqpfKVUDfAJcI01L+BsCX0H0FtE4i1/fWcDy0yOyWFZbj6+ARxRSj1vdjwNRCRMRIItn/ti3ORONzcqUEo9ppSKUUrFYfxsrVVKWXUE1RYi4m+5qY1lSuN6wPSKKqXUOeCMiPS1PDQJMPWG+xVux0GmWyxOAyNFxM/yuzkJ476W1XhY82S2ppSqFZGfAV8A7sBCpdQhk8NCRD4ExgOhIpINPKmUesPcqABjxHk3cMAyXw3wX0qplSbGBBAJvG2pQHADPlJKOUyJoAPqCnxq5AA8gA+UUqvMDekbPwfetwywTgL3mRwP8M0fvsnAA2bH0kAptU1EFgO7gVpgD1ZuAeBUZYuapmla05xtykXTNE1rgk7omqZpLkIndE3TNBehE7qmaZqL0Ald0zTNReiErmma5iJ0Qtc0TXMR/w/vht0Qhfw8EQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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O6Ok5JHcJJsTfq03nmTMqnpUHz/Pp7rPcPizWStFpzsrT05P4+Hizw3BIeum/lfl6uXNd386sPHC+XS+KyS2uYO+ZwjZNt9QZEteR/tEdmL8p06XfZmtaW+mEbgPTEiO5VFbF18fb5awTAOuOGG+Hr9Yut7lEhDkj4zmWU8KGo3ltPp+muSqd0G1gTK8wAr09WLa3/Va7pGXkEB7oTUJUB6ucb1piJKEB3szfpHula1pjdEK3AR9Pdyb268wXB89TWd3+pl2qampZfySXcb3DEWl5uWJDvD3cuWt4V9Zm5HI8t8Qq59Q0V6MTuo1MS4ykqLyajcdc+058Q3aevERxeTXjrDB/Xt8dw2Pxcnfjbb3QSNMapBO6jYzuGUagjwfL9mWbHYrdpWXk4OkujOpp3Sqf0ABvZiRFsWjnGQrLqqx6bk1zBTqh24iXhxuTEiJYffAC5VU1ZodjV2npOQyNDyHA2/rt9u8dGc/lqhoWbj9l9XNrmrPTCd2GUhMjKa6oZv2R9jPtcuZSGUculLS4GVdz9YvqwPBuIbzzdZZejatpV9AJ3YZG9ggl2M+T5fvbz7RLWobx4mXt+fP65oyM51xhOasOXbDZNTTNGemEbkOe7m5MTojgy0PtZ9plbXoOsSF+dAv1t9k1JvTtTGyIH/M36hJGTatPJ3QbS02MorSyhrUZOWaHYnPlVTVsOp7H+D7WK1dsiLulV/qOk5fYe7rAZtfRNGejE7qNDe8WQid/Lz5rB9UuW07kU15Vy9jetm+NfEtKDAHeHrylFxpp2jd0QrcxD3c3JvePYM3hHMoqq80Ox6bS0nPw8XRjeLdONr9WoI8nt6TEsHx/NheKym1+PU1zBjqh20FqYhSXq2pYk+660y5KKdIychnZPRQfT/u0uJ19TRzVtYr3t+he6ZoGOqHbxdD4EMICvVm213WnXY7nlnLqYplNq1uu1LWTP9f17cwHW0+1m5vOmnY1OqHbgbubMLV/BGkZOZRUuOa0S91NX3smdDBKGC+WVrJkz1m7XlfTHJFO6HaSOjCKiupavjrsmrXTa9Jz6N05kOhgX7ted3i3EPpEBDJ/Y5bula61ezqh28ng2I5EdPDhMxecdikur2J71kXG9rH/xt8iwpxR8WRcKGZzO+4/r2mgE7rduLkJUwdEsv5ILkXlrtVYatOxPKpqFONttNy/KdMHRtHJ30v3StfaPZ3Q7WhaYiSVNbWsPuha0y5p6bkE+ngwqGtHU67v4+nOHcO78lV6Dpl5pabEoGmOQCd0OxoUG0x0sC/L9rnOTkZGuWIO1/YKw9PdvF+nO4fH4uEmvPN1lmkxaJrZdEK3IxFhWmIkG47muUw/74PnisgprrBZd8XmCg/04YbEKD7ecdrlprQ0rbl0QrezaQMiqa5VfHHwvNmhWEWaZbGUPZb7N+XekfGUVtbw0fbTZoeiaabQCd3OEmOC6BLiyzIXaamblpHDwJggQgO8zQ6FATFBDI0L4e2vs6ip1SWMWvujE7qdiQjTBkSx6VgeF0srzQ6nTS6WVrL7dIHdFxNdzZxRcZy5dJnVule61g41mdBFxEdEtonIXhE5KCJPN3DMbBHJFZE9lo/7bROua0hNjKSmVrHygHNPu6w/kotSmD5/Xt/EfhFEB/vqEkatXWrOCL0CGK+UGggkAZNFZHgDx/1HKZVk+XjDqlG6mISoDsSH+rN8v3NXu6xJzyE0wIsB0UFmh/KNul7p2zIvcuBsodnhaJpdNZnQlaHE8qWn5UNPULaBMe0Syebj+eQWV5gdTqvU1CrWHcllTK9w3Nxst5lFa9w6pAt+Xu68tSnL7FA0za6aNYcuIu4isgfIAVYrpbY2cNhNIrJPRBaJSJdGzjNXRHaIyI7c3PazcXJDUgdGUqtgpZNWu+w+dYnCy1WMd6D58zpBvp7cMjiGz/aeI6dY90rX2o9mJXSlVI1SKgmIAYaKSP8rDvkMiFNKJQKrgXcaOc88pVSKUiolLMz8Mjcz9e4cSPcwf5btdc5pl7SMHNzdhFE9Q80OpUH3XBNHZU0tH2w5ZXYommY3LapyUUoVAGnA5Cu+n6+Uqps7eAMYbJ3wXJeIkJoYxbasi065486a9FxSunYkyNfT7FAa1C0sgPF9wvlg60kqqnWvdK19aE6VS5iIBFs+9wUmAulXHBNZ78vpwGFrBumqUhMjUQo+d7Ka9OzCyxzOLnLI6Zb65oyMJ6+k0iU7XGpaQ5ozQo8E0kRkH7AdYw59mYg8IyLTLcf83FLSuBf4OTDbNuG6lp6dA+ndOZBlTraB9NoM4/6HI9WfN2Rkj0706hzA/I2Zule61i40p8pln1IqWSmVqJTqr5R6xvL9J5VSSy2fP66USlBKDVRKjVNKpV/9rFqd1MRIdpy8RHbhZbNDabY16TlEB/vSMzzA7FCuSkS4d2Q8h7KL2Jp50exwNM3m9EpRk01LNGarljvJKL2iuoZNx/IY1ycMEccqV2zIjcnRdPTz5C290EhrB3RCN1m3sAD6RXZwmmmXbZkXKauscfj58zo+nu7cPiyWVYcucCq/zOxwNM2mdEJ3AKkDI9lzuoDTFx0/4aSl5+Lt4caIbo5ZrtiQu4bH4S7CO5uzzA5F02xKJ3QHkDogCoAVTlDtkpaRw4junfD1cjc7lGaLCPJhWmIk/9l+mmLdK11zYTqhO4DYTn4kxgQ5/LRLZl4pmXmlDtWMq7nuHRlPSUU1i3aeMTsUTbMZndAdRGpiJPvPFnIy33H3xKzbzMIZE3pSl2AGxQbz9tdZ1Ope6ZqL0gndQUwdYFS7OPIoPS0jh+5h/sR28jM7lFaZMyqek/llrLG8MGmaq9EJ3UHEdPQjOTbYYcsXSyuq2XriotNUtzRkckIEUUE+ule65rJ0Qncg0wZEcii7iBO5JU0fbGdfH8+nsqbWKadb6ni4u3HXiDi+Pp7P4ewis8PRNKvTCd2B1C0ycsRplzXpOQR4e5ASF2J2KG1y29Au+Hi68bbula65IJ3QHUhkkC9D4jo63LSLUoq1GTmM6hGKl4dz/8oE+3lx06AYPt1zlvwS59xcRNMa49x/nS5o2oBIMi4Uc/RCsdmhfCP9fDHZheVOPX9e370j46isruXDrbpXuuZadEJ3MFMHRCLiWNMuaRlGVcjY3q6xKUmP8EDG9Arj3S0nqayuNTscTbMa50voSkG5697QCu/gw9C4EJbtO+cwLV/T0nPoH92B8A4+ZodiNfeOjCO3uMLpN+rWtPqcL6HvfBv+NRxOrDM7EptJHRjF8dxS0s+bP+1SWFbFzpOXnLq6pSHX9gyje5g/b23KcpgXTk1rK+dL6JEDwdMX3p0OX/weqpxv+7amTOkfgZs4RkvddUdzqVWOv5lFS7m5Gb3S950pZOfJS2aHo2lW4XwJPXoQPLAeUu6Dzf+E18fDhYNmR2VVoQHejOjeySGmXdam5xDi78XAmGBT47CFHwyKJsjXUy800uxHKSNflebZ5PTOl9ABvPwh9QW4/WMozYV5Y+Hrf0Kt69zgSk2MIiu/jIPnzLtfUFOrWHsklzG9wnB3c/zNLFrKz8uDWUO7sPLAec5ccvzWxZoTUgounjCmij++F57vCa9eAwc/tcnlnDOh1+l1Pfx4M/SYCKt+D+/NgELX6KY3KSECdzcxtdpl35kCLpZWukx1S0PuHhGHiPDe5pNmh6K5iuLzsO8jWPITeCkRXk6Gzx6Gk19Dt3Ew4xXok2qTS3vY5Kz25B8Ksz6A3e/B548Zr37TXoABN5sdWZuE+Hsxskcoy/ad47eTe5uy3Vtaeg5uAmN6uW5Cjw72ZXL/CBZsO8XPJ/TE39v5/yQ0O7t8CbI2QuZ6o1gjL8P4vk8QxI2GkT+H+GshtBfY+O/YNX57RWDQ3RA3Cj6ZC/+9D46shKnPg6/zzv2mJkbym0X72HemkIFd7P9zpGXkMii2I8F+Xna/tj3NGRnP8n3ZfLLrDHeNiDM7HM3RVZbCqS2Quc5I4tl7QdWCpx/EjoDkO4wEHpEIbvbdCMY1EnqdkG5w70rY+AKs/TOc3Aw3vmr84zqhSf0i+L37fpbtO2f3hJ5TVM7+s4U8Oqm3Xa9rhkGxwQzsEsxbm7K4Y1hX3FzwfoHWBtWVcHbntwn89DaorQI3T4gZAtf+BrqNgegU8DB38ONaCR3A3QPG/Aa6T4BPfgTvTIdrfgrjnwAPb7Oja5EgP09G9wxj+b5sHp/S166JZm1GLuCcm1m0lIgwZ2QcDy/cw7ojuS5Xoqm1UG0NnN//bQI/uRmqSgExyqaHP2Qk8NgRRoGGA3G9hF4nZjA8uAFW/QG+/gccT4MfzIPOCWZH1iLTBkSyJj2H3acLGNy1o92um5aRQ0QHH/pGBtrtmmaa0j+S/+twmPmbMhnXxQ3cvcA70OZznpoDUAryjloS+DrI3ADlBcZjob0h6XYjgXcdCX6O3W3UdRM6WMobX4Rek407zvPGwXVPwbCHwM05CnwmJnTG6xM3lu07Z7eEXlldy4ajedwwMNKUm7Fm8PJw4+4RcRR++Tw8t8D4prs3+IdBQJjx3ys/6n/fL9R4d6g5h4LTxui7bhRebKkmC+piVKDEX2t8dIg0N84WavI3UER8gPWAt+X4RUqppxo59iZgETBEKbXDmoG2Sa9J8NBm+Ozn8MXv4MgXMPNVCIo2O7ImdfDxZEzvMFbsz+aJaf3sMu2y4+RFSiqq28V0S32zPb/C33MBBzuMJmHY9cYah9I8KM2BkgvGgpCSHGP+tCG+IZZEH25UX13tRcArQI/+7ak077sJ/OIJ4/t+od8m725joGO8U/9/ac6QogIYr5QqERFPYKOIfK6U2lL/IBEJBB4GttogzrYLCINZH8Kud2Hl4/DqCGP03v8msyNrUmpiJKsPXWDHyUsMjbf9W7609By83N0Y2SPU5tdyGHsX4v/lbzgceA23XnyAjUmT6OjfwA0upaC80JLoc41kX5f4S+p9fv6A8Vh5YcPX8/AB/3qJ/zvvAup/P9x4odCj/5ZRCk6kwdHVRgK/cMD4vlcgxI2EIT8yknh4P6d5t94cTf6WKGPted2eaJ6Wj4bWoz8L/AV41GrRWZsIDL7n2/LGRXOM0frU54yaUQc1oW9nvD2MaRe7JPSMXIZ1C2k/NdmHlsLih4w/8HFvUvqv7Xy27xx3N1TCKGKUwvoGQ2iPps9dXQlldcm+7kWg7oXA8nVxtnETrjS3kdG/GHO3QTEw+S/QdURbf2LXphSsfsK4d+buDbHDjKKI+DEQlezSL47N+slExB3YCfQAXlFKbb3i8UFAF6XUchFpNKGLyFxgLkBsbGyrg26zTt1hzhew4XlY91djBdeN/zYSvQMK8PZgXO9wVuw/z1M3JNh0Gf7pi2Ucyynh9qEm/v+xp2NfGi/s0SkwawF9vQPo3TmQxbvPNpzQW8rDCzpEGR9N+Wb0n/vdjxLLf4+vgfdmwi1vQ+8pbY/NFdVUw7KHYff7MOR+uP5/wdN12j43pVnvNZRSNUqpJCAGGCoi/eseExE34AXgV804zzylVIpSKiUszOTVh+4eMPYxuG8VuHvC26mw+kmodsxtyVIHRpJXUsHWzHybXqduM4t2UbqXtQkW3gnhfeCOj8E7AICZydHsOlXAqXw793epG/2H9oSu10C/GUZSGve40bvo/q+MKYKFd8DuD+wbmzOoKoeP7zGS+ZjfGgsL21Eyhxb2clFKFQBpwOR63w4E+gNrRSQLGA4sFZEUawVpUzEp8OBGGDwbNv0dXp8AOYfNjup7xvcJx9fT3eYtddek5xAf6k98qGPV11rd2Z3w4Q8huAvctfg7K4qnJxmj6SV7zpoVXcP8O8E9nxlTQ0t+bPy+aoaKYvjwFkhfBpP/DON+59Q3N1uryYQuImEiEmz53BeYCKTXPa6UKlRKhSql4pRSccAWYLpDVbk0xcsfbngJbltozGe+Nga2vOpQ3Rv9vDwY3zeclQfOU11jm7guV9aw+Xi+SzfjAuDCIXj/JvDraCRz/+/e/I0O9mVofAiL95w1vX3x93gHwO0fQcIPjHeUq/7gUL+npijNh3duMN5x3fiasfCnnWrOCD0SSBORfcB2YLVSapmIPCMi020bnp31ngI/3gLdx9OnpksAACAASURBVMPKx+D9G6HIcbYouyExkvzSSjafsM20y+YTeVRU17rMZtANyj8O784wqkzuXtpo6erMpGiO55aa2r64UR5ecNObMHSuceNvyU+gppFSSldXeAbemmy8SM/6AAbOMjsiUzWZ0JVS+5RSyUqpRKVUf6XUM5bvP6mUWtrA8WOdanR+pYAwuG0B3PB3o2fDv0bYrHdxS43tHY6/l+2mXdLSc/HzcrdLJY0pCk4byVzVwN1LICS+0UOnDojA0134dLeDTbvUcXODKX+Fcb+HvR/Cf+6EynbW0z3vKMyfbLSrveuT79wovlRayc8W7ObIBfO3cbQn1ynAtCYRY079wY3QqQd8PBs+eaDxmmI78fF057p+nVl58DxVVp52UUqxJj2HkT1C8fawb4c4uyi+YCTz8iK461MIu3rTsWA/L8b2DuezveeoqXWwaZc6IkbfomkvGOW3791otHJtD87tMZJ51WXjvsIVFWp/WZnOZ3vP8deV6Y2cwDXphH41deWNYx+H/R/Dq6OMEkcTpSZGUVBWxaZj1t3C6lhOCWcLLrvm6tCyi0ayK842qlkiBzbraTcmR5NTXMHm47atLGqzIfcZpYzndsFbU6HI/L1obSpro1GV5ulr/H1GJX3n4Z0nL7Jw+2mignz48nBOuxql64TelO+UN3oYfzBf/o+xYMQE1/YKJdDbw+o7Ga1JrytXdLEbohXFxg3Q/KPGSuHYYc1+6vg+4QR6e7DY0apdGpIwE+5YBAWn4M3rIe+Y2RHZRvoKeO8HRo+VOV98b3FXdU0tv//0AJFBPnz80DX4errz73XHTQrW/nRCb66YFHhgg7GRxsYX4Y0JkGP/t3PeHu5MTOjMFwfPU1FdY7XzpmXk0CcikMggX6ud03SVZfDhLGMDglvege7jWvR0H093JvePYOWB85RXWe/f2ma6jYHZy6CqDOZfD2d3mR2Rde1daNwr6Jxg7HvQwA3tt7/OIv18MU/d0I/oYF9mDe3C0j3nOFtw2YSA7U8n9JbwDoDpL8OsBUb1y7wxsPU1u5eN3ZAYRXF5NRuPWmfapai8ih1Zl1yruqW6Ej66G05uMtom95naqtPMTI6mpKKaLw9fsHKANhKVbLyb9PI3SvlOrDU7IuvY8ip8+oDRh+WepUZN/hXOF5bz4uojjOsdxqSECADuH90NgDc2nLBruGbRCb01+kw1NqeOHwOf/wY+uMmu85Yje4QS5OtptWmXjUfzqK5VrrM6tKba2Ibw2GqjWqkN+8sO79aJ8EBvFu92nPLVJnXqDnNWQXAsfHCLw1RptYpSsOZ/jTLiPqlw+8dGn/oGPLv8ENW1iqen9/+m7XN0sC/Tk6JYuO00l0rNmSa1J53QWysgHG7/j9Gx8dQWo3vjvo+Nu+425uXhxqSEzqw+dMEqUwFr0nMI8vUk2YR9S62uthaW/gwOL4VJ/2c0Y2sDdzdh+sAo1h3JoaDMiRJCh0i4dwVEDYKP74Xtb5gdUcvV1sKKR2H9XyH5TmParJGl/OuP5LJ8XzY/GdeD2E5+33nswTHduVxVwzubs2wfs8l0Qm8LEUiZY8ytd4yHT+6HP3eFt6YZe5pmbbJZb5hpiVGUVFSz7khum85TW6tYm5HLtb3C8HB38l8HpYx3THs/hLG/gxE/scppZyZHU1WjWL7fyapHfDsaJZq9JsHyXxm/k4628rUxNVXGFpLbX4drfgbT/9lol8TyqhqeXHKA+FB/HhjT7XuP9+ocyHV9w3nn6yzKKqttHbmpnPwv2EGE9oD7VhtvB4f+CCpLjD+et6fCn2ONucx1zxkjeStVx1zTvRMd/do+7XLgXCF5JRWMd4Xqlq+e/jYBjPmN1U6bENWBHuEBLHGmaZc6Xn7www8g6Q5Y+ydY8Wtjz0xHVlkGC26DA4vguv+B6/941b4sr607QVZ+Gc/MSGh0DcVDY7tzqayK/2w/bZuYHYTrNga2N3cP6HW98QFwucCoWc/aYOxRmPZHo62Zpx/EDoe40UaTpcikVvVn9nR3Y3L/SJbsOcvlyhp8vVq3GCgtPRcRuLankyf09c8b1Ucpc2Dis1ZtzCQizEyK4vlVRzhzqYyYjn5NP8mRuHvAjFfArxN8/TKU5Rs9Txxx0/TLBUbTtNNbIfUlSLn3qodn5ZXyytpjpCZGMvoqv8ODu4YwJK4jb2zI5M7hXfF09nejjXDNn8oR+AYbN08n/wke2gi/yYRb3zPmAouyjdHkGxPgL3HGjatNL8O53S0aPaUmRlJWWfNNy9vWWJORQ1KXYDoFOOAfd3NtfQ3WPAsDboWpf7NJl70ZSUaJ3JI9TjhKB+Pf5PpnYeIzxk3SD281avQdSfEFeHua0QnzlrebTOZKKZ5cehAvdzeeSO3X5OkfGtudswWX+Wyvk/4/bAY9QrcXvxDoN934AGPTgqwN347gj64yvu8dZPTCjh9tjOI79290i6xh8SGEBnixbN85pg5o+Wa2eSUV7DtTwCPX9WrtT2W+3e8b8+Z9Uo19Ym20nViXED8Gd+3Ikj1n+fHY7s67efbIh419NJf+DN6Zbqyc9XeArQYvZcG7M42dne74yGiQ14SVB86z/kguT6b2o3OHpvuej+sdTu/Ogfx73XFmJkXbZX9ee9MJ3SwBYdD/B8YHGKP2rI3fJvkjnxvf9+0IXUca0zNxoyG87zcjUA93Nyb3j2DRzjOUVlS3eMu4dRm5KIXz1p8f/NRITN3Hw83zbb612MykKJ5YcpDD2cX0i+pg02vZVPIdxgDj49kwf5Jx4zTYxB2qLhwyWjNUlxtN07oMafIpJRXVPP3ZIfpFduDuEV2bdRkR4cGx3XjkP3tJy8hhQt/ObY3c4egpF0fRIRISbzEWLv18Nzxy0Jjn7D0Nzu8zRqGvjoDnesBH9xhlaLlHSB0QSXlVLV+lt3zaJS0jh7BAb/pFOmFyOvIF/Pd+6DLMuOlnh/ngaYlReLiJ42180Rq9pxi94EtzjVYBZm3qcno7vDXFGKTMWdmsZA7w9y+PcL6onD/e2L9F1VmpiVFEB/u6bDsAndAdVVCM0dt55ivwi/3w8D7jxlaP6+DMdqMM7ZUhDPv0Gl7zfYWijfOMXt/NLEurrqll/ZFcxvUOc763npnr4T93GdNRt//HqOSwgxB/L8b0CmPp3nPUOmoHxpboOgLu/dz4nZk/GU5tbfo51nR8Dbw73Xi3MGel8e6zGQ5nFzF/Uxa3De3CoNiOLbqkp7sbPxodz/asS+zIutiaqB2aTujOomNX44bqD14zRu8/2wU3/B2JG8017uncmfsi/GMQvNAPPpkLu94z5iUbsfPkJYrKq52vu+KZHUZJW0g83PkJ+ATZ9fIzkqPJLixna6aLJIPOCUarAL9ORnvhI6vsc92Dn8IHt0KIpaNpx7hmPa22VvGHxQcI8vXkN5P6tOrStw7pQkc/T5ccpeuE7oxEjOXdg2fDzW+Sccd2xlc8z+7EJ41ugse+gqU/hb8PhBcHGDvaHPvKWBJvkZaRi4ebMKqnA9wQa67z++H9H4B/mDHX2kA/D1ub2Lcz/l7uLHbUjS9ao2NXI6mG9YIFs4wmWLa0821j9WpMitFMLKD5g4pFu86w8+QlHpvSh47+Xq26vJ+XB7OviXfJ1ro6obuAQV1DKAvsxivF1xrlXo8eM7bSm/IcRA2EQ58ZifCFvrDycTi7i7TDFxgSF0Kgj6fZ4TdP3lGjCsIrwGjOFBhhShi+Xu5MSohgxYFs5+jA2FwBYXDPMqP51acPwNf/tP41lIINL8BnD0PPicY7LN/mt5u4VFrJn1YcJqVrR24eFNOmUO4e0dUlW+vqhO4C3NyEaYmRrDuSS+HlKmMEH94Xhs2FH74Pvz5i1MB3GWrcTH19HP8qeIBfeS+Gi5lmh9+0SyeN6QARYx9QMysyMKZdisurWduG+n+H5NPB6Knebwas+j2sfsp6rQKUgtVPGOsvBtxi9KZv4b2Pv36RTlF5Nc/O7N/m+z4d/b24bWisy7XW1QndRaQmRlJVo1h9qIE2r54+Rv37rA/g10fYkvAkuQSTkvkqvJwEb0yEba8bu6c7muLzRjKvLDHK667Y0MAMI7t3IjTAyTowNpeHN9z8lrHidtNLxtRdTRv7n9RUG+f5+h/GxtY3zgP3lr0z3HXqEgu2nWbOyDj6Wqkq6/7Rxp6yrtRaVyd0F5HUJZjoYF+W7Wsiyfh25I2ya3k04P9Qv9hv9MqoLDF6fPytl7Hsev8ix9hwuDTfSOalucbb84gBZkcEGPX/NwyMZE16jvGOyNW4uRv7lI55zFi49dFdre8iWlUOH99jnGfMY8bG1i1c/FW3C1FEBx8etuIiuKhgX2YkRbtUa12d0F2EiJCaGMnGo3lX/eUsr6ph07F8xvUOR4JjYdQjRm/3BzfB8B9D9j6jl/jzPeHTh4zSMjOaOZUXwvs3GpU6ty00bqA5kJlJ0VTW1LLygJN1YGwuERj3uHEfJuNzY9u3ywUtO0dFMXx4C6Qvg8l/Mc7XihW2724+yeHsIp66oR8BLVw815QHx3Rzqda6OqG7kNTEKKprFasOnW/0mK2ZF7lcVfP9zSwi+hu9Ph45YOyinnCj8Yf43o1GKeTK3xk7rduj/WplqVHSduGQMfcfP9r212yhxJgg4kP9+dSVql0aMmwu3Pymsfbh7WnGFFhzlOYbrQWyNhlTLMMfbNXlLxSV88LqI4zpFcbk/ta/Ed7TxVrr6oTuQvpHdyA2xO+qLXXT0nPw8XRjRLdGSv7c3I02AzP+Cb8+Cre+a4yOt80zttx7ZSisf+6qNe5tUl0BC++AM9vgpte/7V7pYESEGUlRbM28SHah69xUa1D/m4z+KhczjVWl+U1UhhSeNVZ/5hwy7tsM/GGrL/3sskNU1tTy9PQEm/XPcaXWuk0mdBHxEZFtIrJXRA6KyNMNHPOgiOwXkT0islFEmm59plld3bTL18fzyS/5/sYaSinWpOdwTfdQfDyb0W7X08eoeLDcTCX1JaOx05o/GjXub06C7W9CmZUW2dRUwaI5cCLN2NAg4UbrnNdGZiZFoxQsddYOjC3RfTzM/syYRpk/ydh4uyF5x4zHi7ON+x69p7T6khuO5rJsXzY/GduDuFD/Vp+nKfVb61bV2Hd/YGtrzgi9AhivlBoIJAGTRWT4Fcd8qJQaoJRKAv4KvGDlOLVmmpYYSU2tYuXB7781PpFXyqmLZYzr3Yre534hRjvTOZ8brQgmPAnlBbD8l/B8L8uGBJ+0/uZZbS0s/rExzTPlOaOBlIOLC/UnqUswi9tDQgeIHmwsQPLwMXblytzw3cfP7TGSedVlY8FQ3MhWX8rYheggcZ38GtyFyNpcpbVukwldGUosX3paPtQVxxTV+9L/ysc1++kX2YFuof4s2/v9aZc0SwOvNm8GHRwLo39lLF56YIMxP3puNyy6F57raSTmE2ubfzNVKeOFYf9HxgvFsLlti8+OZiZFcTi7iIzzrrXisFFhvYykHhRtLFY7tNT4ftYmY2cuT1/j8ciBbbrMvPUnyMwr5ZkZ/Zv3brKN6rfWdeY+Pc2aQxcRdxHZA+QAq5VS3+viIyI/EZHjGCP0nzdynrkiskNEduTmtm0vTK1hddMuWzPzySku/85jaRk59OocYL0dd0QgMtHYIuyRg8ain34z4PBnRrnhiwnwxe+NypnGbqbWLTjZ+RaM+qXxQuFEUgdG4e4mLHaFDozNFRRtNPWKTDJKElf8xkjugZFGMm/jWoGT+aX8M+0Y0xIjubaXfXbSqmute+RCSZs2jDFbsxK6UqrGMp0SAwwVkf4NHPOKUqo78FvgD42cZ55SKkUplRIW5uRbnjmwaYlR1CpjA4A6JRXVbMu8aLtmXG7u0G2M0R3y10eMFgRRg4zdhF4bDf8aDhv+BgWnvvu8dX/9dsHJhCdtE5sNhQZ4M6pHKEv3uEgHxubyCzH66fS4Dra9BuH9jCQfFN2m0yqleGrpQTzdhCem2fdWnCu01m1RlYtSqgBjZ8zJVzlsITCzLUFpbdM7IpCe4QHfmXbZeDSPqhrV9umW5vD0NW5o3vah5Wbqi8ZGHV89Ay8NgPlTYMd8I8Gv/T9jA+PJf7HJ1nH2MDM5irMFl9lx8pLZodiXl5+xhP+Wt41SVys0S/vi4HnWZuTyyMReRAQ1vQuRNblCa93mVLmEiUiw5XNfYCKQfsUxPet9OQ04as0gtZablhjJ9pMXOV9oTLuszcgh0MeDwV1b1j+6zfxCjGXkc1YaPd3HP2FsUrzsESPB95sBN7xss63j7OH6fhH4erq3r2mXOu6exou3d0CbT1Vq2YWoT0Qgs6+Ja3tsreDsrXWb81cUCaSJyD5gO8Yc+jIReUZELBtk8lNLSeMe4JfAPTaKV2um1MQolIIV+7NRSpGWkcO1PcPM3e28Y1e49tfwk63wwHqjDPIHb9h86zhb8/f24PqEzqzYn01ltXOXvZnp718dJbuwnP9t4S5E1lS/ta4z3uhuTpXLPqVUslIqUSnVXyn1jOX7Tyqlllo+f1gplaCUSlJKjVNKHbR14NrV9QgPoE9EIMv3Z3Mou4gLRRWMbU25oi2IGFUQKfeCR+t6WjuamUnRFJRVse6IvtnfGhnni3lzYyY/TOnC4K4hpsZS11r3tfXON0p33ve5WpNSEyPZefISH2w1bkSOdbbdiZzIqJ6hhPh7udbGF3ailOIPi/fTwceDx6a0bhcia3Lm1ro6obuwaYlRAHy49RSJMUGEBdp+I+X2ytPdjdTESL48fIHichfswGhDi3aeYXtW23YhsjZnba2rE7oLiw/1JyHK6B3tdHuHOqEZSdFUVNd+p1xUu7qCskr+9Hk6g7t25JbBXcwO5xvO2lpXJ3QXd8NAY5Q+3h7liu3coNhgYkP8WNJeWgFYwV9WZlB4uYo/WmEXImtzxta6OqG7uNnXxPHWvUMY2KX5ezdqrSMizEyK4uvjeeQUlTf9hHZu16lLLNx+itnXWG8XImsyWut25m0naq2rE7qL8/F019MtdjQjOZpaBUudvMmTrVXX1PLE4gOEB3rzyETr7UJkbQ+N7UaBE7XW1Qld06yoe1gAA6KD2ucioxZ4b8tJDp4r4snUBKvvQmRNg7uGMDQuxGla6+qErmlWNiMpigNniziWU9L0we1QTlE5f1t1hNE9Q5k6wPq7EFnbg2O7OU1rXZ3QNc3Kpg+Mwk1giR6lN+iPyw9TWVPLszP622wXImtypta6OqFrmpWFd/BhZI9Qluw5h7LHHqxOZOPRPJbuPcdDY7rbdBcia3Km1ro6oWuaDcxIiubUxTJ2nSowOxSHUVFdw5NLDtC1kx8Pje1udjgt4iytdXVC1zQbmJTQGW8PNz3tUs/r609wIq+Up6cn2GUXImtylta6OqFrmg0E+nhyXb/OLNuX7RTVEbZ2Kr+Mf6w5xtQBEU7bU8gZWuvqhK5pNjIzKZqLpZVsONq+OzAauxAdwMNNeCLVvrsQWZMztNbVCV3TbGRMrzCC/TxZvNvxy91sadWhC6RZdiGKDPI1O5w2cfTWujqha5qNeHm4MW1AJKsPXaC0wjmWjltbaUU1Ty89SJ+IQO4xaRcia3L01ro6oWuaDc1MjuZyVQ2rDrXPDowvrznKucJy/jizv7m7ZVmRI7fWdY1/YU1zUINjOxId7Mun7XDaJeN8MW9uyOTWlBhS4szdhciaHLm1rk7ommZDbm7CjKQoNh7NJbe4wuxw7EYpxROLDxDg48FjU/qaHY7VOWprXZ3QNc3GZlo6MC7b135G6Z/sOsu2rIs8NrkPIQ6yC5E1OWprXZ3QNc3GenUOpG9kBxa3k40vCsoq+b8Vh0mODebWFMfZhcjaHLG1rk7ommYHNyZHsfd0AZl5pWaHYnPPfZHBpbJKh9yFyJocsbWuTuiaZgfTB0Yj7aAD457TBXy47RSzr4knISrI7HBsztFa6+qErml2EBHkw/D4TizefdZlOzDW1Cr+sHg/YQHePDKxp9nh2IWjtdbVCV3T7GRmchRZ+WXsPVNodig28f6Wkxw4W8QTqf0I9PE0Oxy7cLTWuk0mdBHxEZFtIrJXRA6KyNMNHPNLETkkIvtE5CsR6WqbcDXNeU3uH4mXuxuLd7vetEtOcTnPf5HB6J6hpCZGmh2OXdW11n11rfntAJozQq8AxiulBgJJwGQRGX7FMbuBFKVUIrAI+Kt1w9Q05xfk68n4PuEs23eOage5iWYt/7v8MBXVtTw9PcEpdiGyprrWujtOXmK7ya11m0zoylC3OaKn5UNdcUyaUqrM8uUWIMaqUWqai5iZHE1eSSWbjuebHYrVfH0sjyV7zvHgmG50CwswOxxTfNNa1+RRerPm0EXEXUT2ADnAaqXU1qscfh/weSPnmSsiO0RkR25u+24pqrVP4/qE0cHHgyUuMu1SXlXDH5YcIDbEjx+P62F2OKapa637Vbq5rXWbldCVUjVKqSSMkfdQEenf0HEicieQAjzXyHnmKaVSlFIpYWFhrY1Z05yWt4c7UwdEsvLgeYdaYdgalytruO+d7WTmlfLszP5OtwuRtTlCa90WVbkopQqANGDylY+JyHXA74HpSqn207RC01poRlI0ZZU1rD50wexQWq2sspo5b2/n6+P5PHfzQMb00gM0R2it25wqlzARCbZ87gtMBNKvOCYZeA0jmZtfu6NpDmxYfAiRQT4scdJWAHXJfGtmPi/cOpCbB+tbZnXMbq3bnBF6JJAmIvuA7Rhz6MtE5BkRmW455jkgAPhYRPaIyFIbxatpTs/NTZg+MIr1R3K56GDtV5tSWlHN7Le2sy3zIi/+MIkbk3Uyr8/s1rrNqXLZp5RKVkolKqX6K6WesXz/SaXUUsvn1ymlOiulkiwf069+Vk1r32YmR1Ndq1juRB0YSyqqmf3WNnZkXeSlWcnMSIo2OySHZGZrXb1SVNNM0DeyA707B/Kpk1S7FJdXMXv+NnadKuDl25KZPjDK7JAclpmtdXVC1zSTzEiOYtepAk7llzV9sImKy6u4Z/42dp8u4B+3JZOaqJN5U8xqrasTuqaZpG6U68gdGIvKq7h7/jb2nSnklduTmTqgfS3rby2zWuvqhK5pJonp6MfQuBAW73HMDoyFl6u4681t7D9TyCt3DGJyf53MW8KM1ro6oWuaiWYkR3E8t5SD54rMDuU7CsuquOvNrRw6V8irdw5mUkKE2SE5HTNa6+qErmkmmjYgEk93cagOjAVlldzx5hbSs4v5952Dmdivs9khOSUzWuvqhK5pJgr282Js73CW7j1HjQNskHCptJI73tjKkfMlvHbXYCb01cm8LezdWlcndE0z2cykaHKKK9hscgfGi6WV3P7GVo7mlDDv7sGM6xNuajyuwN6tdXVC1zSTTegbToC3B4tNrHbJL6ng9te3cCK3hNfvTmFsb53MreWHQ2IJ8feyS2tdndA1zWQ+nu5M7h/BygPnKa+qsfv180oquP31rWTmlfLGPSm60ZaV+Xq5c8+IOLu01tUJXdMcwMykaEoqqvnqsH172+UWGyPzkxdLmT97CKN76mRuC3eP6IqflzuvrbPtKF0ndE1zACO6dyI80Nuu0y45xeXc9voWTl0sY/7sIYzsEWq3a7c3Hf29mDUklqV7z3Hmku1WBuuErmkOwN3SgXFtRg4FZbbv0pdTVM5t87Zw9tJl3r53KNd018nc1r5trZtps2vohK5pDmJmcjRVNYrl+7Ntep0LReXMmreF7MJy3r53CMO7dbLp9TRDXWvd/2w/bbO2yTqha5qDSIjqQPcwf5bstt1S8fOFRjK/UFTOO3OGMkwnc7uqa6370Q7bNO3SCV3THISIMDMpmm1ZF20yz5pdeJlZ8zaTW1zBu/cNZUhciNWvoV1dz86BfHD/MO4bFW+T8+uErmkOpG7TiKVWbuh0ruAys+ZtIb+kknfvG8rgrjqZm2Vkj1A83W2TenVC1zQHEtvJj8FdO7J4t/U6MJ61JPOLlmQ+KLajVc6rOR6d0DXNwcxMiuLIhRIOZ7d9Ecrpi2X88LXNXCqr5P37h5Gsk7lL0wld0xzMtMQoPNykzRtfnL5Yxqx5Wyi6XMUH9w9jYJdgK0WoOSqd0DXNwYT4e3FtrzCW7j3X6j7ap/KNZF5SUc2HPxpOYoxO5u2BTuia5oBmJEWRXVjO1syWd+g7mV/KrHmbKa2s5oP7h9E/OsgGEWqOSCd0TXNAE/t1xs/LvcXTLll5pfzwtS1crqrhw/uH62TezuiErmkOyM/Lg8kJESzfn93sDownckv44bzNVNbU8uGPhtMvqoONo9QcTZMJXUR8RGSbiOwVkYMi8nQDx1wrIrtEpFpEbrZNqJrWvsxIjqa4vJq1zdi+7HhuCbPmbaG6RrHgR8PpG6mTeXvUnBF6BTBeKTUQSAImi8jwK445BcwGPrRueJrWfo3s3onQAC8WN9EK4FhOMbPmbaFWKRbMHU7viEA7Rag5miYTujKUWL70tHyoK47JUkrtA2qtH6KmtU8e7m6kJkaxJj2HwstVDR5z9EIxs+ZtRSlYOHc4vTrrZN6eNWsOXUTcRWQPkAOsVkpttW1YmqaB0YGxsqaWlQe+34Ex43wxt72+BTcxknmPcJ3M27tmJXSlVI1SKgmIAYaKSP/WXExE5orIDhHZkZub25pTaFq7MjAmiPhQ/+9Nu6SfL+L217fg7iaWZB5gUoSaI2lRlYtSqgBIAya35mJKqXlKqRSlVEpYmN7qStOaIiLMSIpiS2Y+2YWXATh0rojbX9+Kp7sbC+eOoFuYTuaaoTlVLmEiEmz53BeYCKTbOjBN0wwzk6JRCpbuOcfBc4Xc8cYWvD3cWDh3OPGh/maHpzmQ5ozQI4E0EdkHbMeYQ18mIs+IyHQAERkiImeAW4DXROSg7ULWtPYlLtSfgV2CeX/rSe54Yyu+nu4snDucOJ3MtSt4NHWAUuG8jgAABNJJREFUpXoluYHvP1nv8+0Y8+uaptnAzKQonv7sENHBviycO5wuIX5mh6Q5oCYTuqZp5rt5cAzni8q5c1hXncy1RumErmlOINDHk8en9DU7DM3B6V4umqZpLkIndE3TNBehE7qmaZqL0Ald0zTNReiErmma5iJ0Qtc0TXMROqFrmqa5CJ3QNU3TXIQopZo+yhYXFskFTrby6aFAnhXDsRYdV8vouFrOUWPTcbVMW+LqqpRqsF2taQm9LURkh1Iqxew4rqTjahkdV8s5amw6rpaxVVx6ykXTNM1F6ISuaZrmIpw1oc8zO4BG6LhaRsfVco4am46rZWwSl1POoWuapmnf56wjdE3TNO0KOqFrmqa5CKdL6CIyWUQyROSYiDxmdjwAIjJfRHJE5IDZsdQnIl1EJE1EDonIQRF52OyYAETER0S2icheS1xPmx1TfSLiLiK7RWSZ2bHUEZEsEdkvIntEZIfZ8dQRkWARWSQi6SJyWERGOEBMvS3/TnUfRSLyC7PjAhCRRyy/8wdEZIGI+Fj1/M40hy4i7sARYCJwBmPT6tuUUodMjutaoAR4VynV38xY6hORSCBSKbVLRAKBncBMB/j3EsBfKVUiIp7ARuBhpdQWM+OqIyK/BFKADkqpVLPjASOhAylKKYdaJCMi7wAblFJviIgX4KeUKjA7rjqWnHEWGKaUau1CRmvFEo3xu95PKXVZRD4CViil3rbWNZxthD4UOKaUOqGUqgQWAjNMjgml1HrgotlxXEkpla2U2mX5vBg4DESbGxUoQ4nlS0/Lh0OMLEQkBpgGvGF2LI5ORIKAa4E3AZRSlY6UzC0mAMfNTub1eAC+IuIB+AHnrHlyZ0vo0cDpel+fwQESlDMQkTggGdhqbiQGy7TGHiAHWK2Ucoi4gJeA3wC1ZgdyBQWsEpGdIjLX7GAs4oFc4C3LFNUbIuJvdlBXmAUsMDsIAKXUWeB54BSQDRQqpVZZ8xrOltC1VhCRAOC/wC+UUkVmxwOglKpRSiUBMcBQETF9qkpEUoEcpdROs2NpwCil1CBgCvATyzSf2TyAQcCrSqlkoBRwiPtaAJYpoOnAx2bHAiAiHTFmFOKBKMBfRO605jWcLaGfBbrU+zrG8j2tEZY56v8CHyilPjE7nitZ3qKnAZPNjgUYCUy3zFcvBMaLyPvmhmSwjO5QSuUAn2JMP5rtDHCm3rurRRgJ3lFMAXYppS6YHYjFdUCmUipXKVUFfAJcY80LOFtC3w70FJF4y6vvLGCpyTE5LMvNxzeBw0qpF8yOp46IhIlIsOVzX4yb3OnmRgVKqceVUjFKqTiM3601SimrjqBaQ0T8LTe1sUxpXA+YXlGllDoPnBaR3pZvTQBMveF+hdtwkOkWi1PAcBHxs/xtTsC4r2U1HtY8ma0ppapF5KfAF4A7MF8pddDksBCRBcBYIFREzgBPKaXeNDcqwBhx3gXst8xXA/xOKbXCxJgAIoF3LBUIbsBHSimHKRF0QJ2BT40cgAfwoVJqpbkhfeNnwAeWAdYJ4F6T4wG+eeGbCDxgdix1lFJbRWQRsAuoBnZj5RYATlW2qGmapjXO2aZcNE3TtEbohK5pmuYidELXNE1zETqha5qmuQid0DVN01yETuiapmkuQid0TdM0F/H/FLXT2bpZvLIAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[MSE Baseline] train: 3.3561123865436993  test: 3.2622905110959155\n",
            "3/3 [==============================] - 0s 3ms/step - loss: 3.4306 - mse: 3.4306 - mae: 1.2513 - mape: 379.2657 - rmse: 1.8508 - ar: 0.3273\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gyMMd1QINwIc",
        "colab_type": "text"
      },
      "source": [
        "## Results"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rLzmI75YcKw1",
        "colab_type": "code",
        "outputId": "e8425a3b-54f0-47af-9ace-334c422eeb4b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 220
        }
      },
      "source": [
        "df = pd.DataFrame(data = results, index = data_names, columns = metrics)\n",
        "df.loc['mean'] = results.mean(axis=0)\n",
        "df"
      ],
      "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>loss</th>\n",
              "      <th>mse</th>\n",
              "      <th>mae</th>\n",
              "      <th>mape</th>\n",
              "      <th>rmse</th>\n",
              "      <th>ar</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>S&amp;P500</th>\n",
              "      <td>4.073749</td>\n",
              "      <td>4.073749</td>\n",
              "      <td>1.277371</td>\n",
              "      <td>1.852294</td>\n",
              "      <td>1.979694</td>\n",
              "      <td>0.289145</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SSE</th>\n",
              "      <td>3.500156</td>\n",
              "      <td>3.500156</td>\n",
              "      <td>1.287399</td>\n",
              "      <td>20.080944</td>\n",
              "      <td>1.870232</td>\n",
              "      <td>0.389345</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IBM</th>\n",
              "      <td>7.310606</td>\n",
              "      <td>7.310606</td>\n",
              "      <td>1.406703</td>\n",
              "      <td>1.927553</td>\n",
              "      <td>2.565921</td>\n",
              "      <td>0.404601</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MSFT</th>\n",
              "      <td>11.019066</td>\n",
              "      <td>11.019066</td>\n",
              "      <td>1.397175</td>\n",
              "      <td>1.883669</td>\n",
              "      <td>2.846082</td>\n",
              "      <td>0.354021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAICC</th>\n",
              "      <td>3.430578</td>\n",
              "      <td>3.430578</td>\n",
              "      <td>1.251322</td>\n",
              "      <td>379.265717</td>\n",
              "      <td>1.850762</td>\n",
              "      <td>0.327280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>5.866831</td>\n",
              "      <td>5.866831</td>\n",
              "      <td>1.323994</td>\n",
              "      <td>81.002035</td>\n",
              "      <td>2.222538</td>\n",
              "      <td>0.352878</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             loss        mse       mae        mape      rmse        ar\n",
              "S&P500   4.073749   4.073749  1.277371    1.852294  1.979694  0.289145\n",
              "SSE      3.500156   3.500156  1.287399   20.080944  1.870232  0.389345\n",
              "IBM      7.310606   7.310606  1.406703    1.927553  2.565921  0.404601\n",
              "MSFT    11.019066  11.019066  1.397175    1.883669  2.846082  0.354021\n",
              "PAICC    3.430578   3.430578  1.251322  379.265717  1.850762  0.327280\n",
              "mean     5.866831   5.866831  1.323994   81.002035  2.222538  0.352878"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 74
        }
      ]
    }
  ]
}