MIAN.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GWe8QaJlllDW"
      },
      "source": [
        "# **Stock Price Prediction using LSTM**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "f1sLOAUnn8fH"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from statsmodels.tsa.arima.model import ARIMA\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense, LSTM"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "ZqT1eFsToHWl",
        "outputId": "80afec19-84cb-4a4a-db0c-94a95a4eafe8"
      },
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              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Date</td>\n",
              "      <td>Open</td>\n",
              "      <td>High</td>\n",
              "      <td>Low</td>\n",
              "      <td>Close</td>\n",
              "      <td>Adj Close</td>\n",
              "      <td>Volume</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2012-03-01</td>\n",
              "      <td>19.577499</td>\n",
              "      <td>19.578930</td>\n",
              "      <td>19.241785</td>\n",
              "      <td>19.445356</td>\n",
              "      <td>16.527443</td>\n",
              "      <td>683270000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2012-03-02</td>\n",
              "      <td>19.437143</td>\n",
              "      <td>19.528570</td>\n",
              "      <td>19.375713</td>\n",
              "      <td>19.470715</td>\n",
              "      <td>16.548992</td>\n",
              "      <td>431712400</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2012-03-05</td>\n",
              "      <td>19.479286</td>\n",
              "      <td>19.552856</td>\n",
              "      <td>18.785713</td>\n",
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              "      <td>16.184122</td>\n",
              "      <td>809124400</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2012-03-06</td>\n",
              "      <td>18.702143</td>\n",
              "      <td>19.060356</td>\n",
              "      <td>18.436428</td>\n",
              "      <td>18.937857</td>\n",
              "      <td>16.096092</td>\n",
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              "      <th>2590</th>\n",
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              "      <td>133.130005</td>\n",
              "      <td>133.889999</td>\n",
              "      <td>131.479996</td>\n",
              "      <td>132.759995</td>\n",
              "      <td>131.971970</td>\n",
              "      <td>84784300</td>\n",
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              "      <th>2591</th>\n",
              "      <td>2022-06-15</td>\n",
              "      <td>134.289993</td>\n",
              "      <td>137.339996</td>\n",
              "      <td>132.160004</td>\n",
              "      <td>135.429993</td>\n",
              "      <td>134.626114</td>\n",
              "      <td>91533000</td>\n",
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              "    <tr>\n",
              "      <th>2592</th>\n",
              "      <td>2022-06-16</td>\n",
              "      <td>132.080002</td>\n",
              "      <td>132.389999</td>\n",
              "      <td>129.039993</td>\n",
              "      <td>130.059998</td>\n",
              "      <td>129.287979</td>\n",
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              "      <th>2593</th>\n",
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              "      <td>130.070007</td>\n",
              "      <td>133.080002</td>\n",
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              "      <td>131.559998</td>\n",
              "      <td>130.779083</td>\n",
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            "text/plain": [
              "               0           1           2           3           4           5  \\\n",
              "0           Date        Open        High         Low       Close   Adj Close   \n",
              "1     2012-03-01   19.577499   19.578930   19.241785   19.445356   16.527443   \n",
              "2     2012-03-02   19.437143   19.528570   19.375713   19.470715   16.548992   \n",
              "3     2012-03-05   19.479286   19.552856   18.785713   19.041430   16.184122   \n",
              "4     2012-03-06   18.702143   19.060356   18.436428   18.937857   16.096092   \n",
              "...          ...         ...         ...         ...         ...         ...   \n",
              "2590  2022-06-14  133.130005  133.889999  131.479996  132.759995  131.971970   \n",
              "2591  2022-06-15  134.289993  137.339996  132.160004  135.429993  134.626114   \n",
              "2592  2022-06-16  132.080002  132.389999  129.039993  130.059998  129.287979   \n",
              "2593  2022-06-17  130.070007  133.080002  129.809998  131.559998  130.779083   \n",
              "2594  2022-06-21  133.419998  137.059998  133.320007  135.869995  135.063492   \n",
              "\n",
              "              6  \n",
              "0        Volume  \n",
              "1     683270000  \n",
              "2     431712400  \n",
              "3     809124400  \n",
              "4     810238800  \n",
              "...         ...  \n",
              "2590   84784300  \n",
              "2591   91533000  \n",
              "2592  108123900  \n",
              "2593  134520300  \n",
              "2594   81000500  \n",
              "\n",
              "[2595 rows x 7 columns]"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "path = \"/content/AAPL.csv\"\n",
        "df = pd.read_csv(path , header = None)\n",
        "df"
      ]
    },
    {
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              "\n",
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              "          const element = document.querySelector('#df-20916295-289e-40aa-8abb-5cf786647994');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "         Date       Open       High        Low      Close  Adj Close  \\\n",
              "0        Date       Open       High        Low      Close  Adj Close   \n",
              "1  2012-03-01  19.577499  19.578930  19.241785  19.445356  16.527443   \n",
              "2  2012-03-02  19.437143  19.528570  19.375713  19.470715  16.548992   \n",
              "3  2012-03-05  19.479286  19.552856  18.785713  19.041430  16.184122   \n",
              "4  2012-03-06  18.702143  19.060356  18.436428  18.937857  16.096092   \n",
              "\n",
              "      Volume  \n",
              "0     Volume  \n",
              "1  683270000  \n",
              "2  431712400  \n",
              "3  809124400  \n",
              "4  810238800  "
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "headers = [\"Date\",\"Open\",\"High\",\"Low\",\"Close\",\"Adj Close\",\"Volume\"]\n",
        "filename = \"AAPL.csv\"\n",
        "df = pd.read_csv(filename, names = headers )\n",
        "df.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
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        },
        "id": "Xa6svRtFoQJl",
        "outputId": "a9e0de7a-38a9-4bd3-8615-4528284867ba"
      },
      "outputs": [
        {
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              "\n",
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              "      background-color: #434B5C;\n",
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              "\n",
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              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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            ],
            "text/plain": [
              "    Date   Open   High    Low  Close  Adj Close  Volume\n",
              "0  False  False  False  False  False      False   False\n",
              "1  False  False  False  False  False      False   False\n",
              "2  False  False  False  False  False      False   False\n",
              "3  False  False  False  False  False      False   False\n",
              "4  False  False  False  False  False      False   False"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.replace(\"null\", np.nan, inplace = True)\n",
        "df.head\n",
        "missing_data = df.isnull()\n",
        "missing_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gl1Kwi3woQMg",
        "outputId": "169f12ba-0138-4048-94e6-e69e3186266d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Date\n",
            "False    2595\n",
            "Name: Date, dtype: int64\n",
            " \n",
            "Open\n",
            "False    2595\n",
            "Name: Open, dtype: int64\n",
            " \n",
            "High\n",
            "False    2595\n",
            "Name: High, dtype: int64\n",
            " \n",
            "Low\n",
            "False    2595\n",
            "Name: Low, dtype: int64\n",
            " \n",
            "Close\n",
            "False    2595\n",
            "Name: Close, dtype: int64\n",
            " \n",
            "Adj Close\n",
            "False    2595\n",
            "Name: Adj Close, dtype: int64\n",
            " \n",
            "Volume\n",
            "False    2595\n",
            "Name: Volume, dtype: int64\n",
            " \n"
          ]
        }
      ],
      "source": [
        "for column in missing_data.columns.values.tolist():\n",
        "    print(column)\n",
        "    print (missing_data[column].value_counts())\n",
        "    print(\" \")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "I4ms8BBcoQPW",
        "outputId": "5c96c296-ba40-4e97-aa82-66a7751c4d35"
      },
      "outputs": [
        {
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              "      <th>3</th>\n",
              "      <td>2012-03-05</td>\n",
              "      <td>19.479286</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2012-03-07</td>\n",
              "      <td>19.171429</td>\n",
              "      <td>19.206429</td>\n",
              "      <td>18.689285</td>\n",
              "      <td>18.953215</td>\n",
              "      <td>16.109144</td>\n",
              "      <td>798520800</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7079c835-97f7-4f7e-9fe8-9a05fce1ea1a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "\n",
              "\n",
              "\n",
              "    <div id=\"df-1fd6ae53-0b93-4e1d-908d-06548d71921a\">\n",
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              "              title=\"Suggest charts.\"\n",
              "              style=\"display:none;\">\n",
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              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: #1967D2;\n",
              "    height: 32px;\n",
              "    padding: 0 0 0 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "</style>\n",
              "\n",
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              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "\n",
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              "\n",
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              "    domScope.querySelector('#df-1fd6ae53-0b93-4e1d-908d-06548d71921a button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
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              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7079c835-97f7-4f7e-9fe8-9a05fce1ea1a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7079c835-97f7-4f7e-9fe8-9a05fce1ea1a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "         Date       Open       High        Low      Close  Adj Close  \\\n",
              "1  2012-03-01  19.577499  19.578930  19.241785  19.445356  16.527443   \n",
              "2  2012-03-02  19.437143  19.528570  19.375713  19.470715  16.548992   \n",
              "3  2012-03-05  19.479286  19.552856  18.785713  19.041430  16.184122   \n",
              "4  2012-03-06  18.702143  19.060356  18.436428  18.937857  16.096092   \n",
              "5  2012-03-07  19.171429  19.206429  18.689285  18.953215  16.109144   \n",
              "\n",
              "      Volume  \n",
              "1  683270000  \n",
              "2  431712400  \n",
              "3  809124400  \n",
              "4  810238800  \n",
              "5  798520800  "
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.drop(0, inplace=True)\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "7gtyOWNpocQZ"
      },
      "outputs": [],
      "source": [
        "df[[\"Open\",\"High\",\"Low\",\"Close\",\"Adj Close\",\"Volume\"]] = df[[\"Open\",\"High\",\"Low\",\"Close\",\"Adj Close\",\"Volume\"]].astype(\"float\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "ZJJDRVwhocVq",
        "outputId": "c535cf58-2de1-44ac-f282-54d52f1fecf9"
      },
      "outputs": [
        {
          "data": {
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              "      <th>2012-03-01</th>\n",
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              "    display: none;\n",
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              "\n",
              "        displayQuickchartButton(document);\n",
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              "      display:flex;\n",
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              "      fill: #1967D2;\n",
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              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-83fe4602-0955-4290-8ece-57ffd79b88df button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-83fe4602-0955-4290-8ece-57ffd79b88df');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                 Open       High        Low      Close  Adj Close       Volume\n",
              "Date                                                                          \n",
              "2012-03-01  19.577499  19.578930  19.241785  19.445356  16.527443  683270000.0\n",
              "2012-03-02  19.437143  19.528570  19.375713  19.470715  16.548992  431712400.0\n",
              "2012-03-05  19.479286  19.552856  18.785713  19.041430  16.184122  809124400.0\n",
              "2012-03-06  18.702143  19.060356  18.436428  18.937857  16.096092  810238800.0\n",
              "2012-03-07  19.171429  19.206429  18.689285  18.953215  16.109144  798520800.0"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.set_index('Date', inplace=True)\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C4PkP5JlocXN",
        "outputId": "a6982064-67d6-415e-e92e-207252a8fc3c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "                 Open       High        Low      Close  Adj Close       Volume\n",
            "Date                                                                          \n",
            "2012-03-01  19.577499  19.578930  19.241785  19.445356  16.527443  683270000.0\n",
            "2012-03-02  19.437143  19.528570  19.375713  19.470715  16.548992  431712400.0\n",
            "2012-03-05  19.479286  19.552856  18.785713  19.041430  16.184122  809124400.0\n",
            "2012-03-06  18.702143  19.060356  18.436428  18.937857  16.096092  810238800.0\n",
            "2012-03-07  19.171429  19.206429  18.689285  18.953215  16.109144  798520800.0\n",
            "(2594, 6)\n"
          ]
        }
      ],
      "source": [
        "print(df.head())\n",
        "print(df.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "j0Okuk8n3ypB"
      },
      "outputs": [],
      "source": [
        "df_10 = pd.DataFrame()\n",
        "df_10['Close'] = df['Close'].rolling(window=10).mean()\n",
        "df_20 = pd.DataFrame()\n",
        "df_20['Close'] = df['Close'].rolling(window=20).mean()\n",
        "df_30 = pd.DataFrame()\n",
        "df_30['Close'] = df['Close'].rolling(window=30).mean()\n",
        "df_40 = pd.DataFrame()\n",
        "df_40['Close'] = df['Close'].rolling(window=40).mean()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 552
        },
        "id": "ZscdsNQH3ysP",
        "outputId": "e2a36f1f-1cd0-4c08-ee83-b5120f47730d"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 2000x1000 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "#Visualize the data\n",
        "plt.figure(figsize=(20,10))\n",
        "plt.plot(df['Close'].tail(200), label='df')\n",
        "plt.plot(df_10['Close'].tail(200), label='df_10')\n",
        "plt.plot(df_20['Close'].tail(200), label='df_20')\n",
        "plt.plot(df_30['Close'].tail(200), label='df_30')\n",
        "plt.plot(df_40['Close'].tail(200), label='df_40')\n",
        "plt.title('Apple Close Price History')\n",
        "plt.xlabel('Jan. 01, 2012 - Dec. 17, 2019')\n",
        "plt.ylabel('Close Price USD($)')\n",
        "plt.legend(loc='upper left')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "2FSHp7wk3yvJ",
        "outputId": "7ad901f8-19b1-481a-eafc-6c0a764507e9"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "\n",
              "  <div id=\"df-ecb4dc71-cd77-4f41-aa52-36280402ecff\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Close</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2012-03-01</th>\n",
              "      <td>19.445356</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-03-02</th>\n",
              "      <td>19.470715</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-03-05</th>\n",
              "      <td>19.041430</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-03-06</th>\n",
              "      <td>18.937857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-03-07</th>\n",
              "      <td>18.953215</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ecb4dc71-cd77-4f41-aa52-36280402ecff')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "\n",
              "\n",
              "\n",
              "    <div id=\"df-794787a8-b381-47d9-a522-5ce1de1fcc14\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-794787a8-b381-47d9-a522-5ce1de1fcc14')\"\n",
              "              title=\"Suggest charts.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: #1967D2;\n",
              "    height: 32px;\n",
              "    padding: 0 0 0 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "    fill: #FFFFFF;\n",
              "  }\n",
              "</style>\n",
              "\n",
              "    <script>\n",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-794787a8-b381-47d9-a522-5ce1de1fcc14 button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-ecb4dc71-cd77-4f41-aa52-36280402ecff button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-ecb4dc71-cd77-4f41-aa52-36280402ecff');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                Close\n",
              "Date                 \n",
              "2012-03-01  19.445356\n",
              "2012-03-02  19.470715\n",
              "2012-03-05  19.041430\n",
              "2012-03-06  18.937857\n",
              "2012-03-07  18.953215"
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Create a new dataframe with only the 'Close column\n",
        "data = df.filter(['Close'])\n",
        "data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "S4E7SOx23yyP"
      },
      "outputs": [],
      "source": [
        "dataset = data.values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "6W2V4gsi3y1d"
      },
      "outputs": [],
      "source": [
        "import math\n",
        "training_data_len = math.ceil(len(dataset)*.8)\n",
        "training_data_len\n",
        "train, test = df[:training_data_len], df[training_data_len:]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RZXHttzH-OEi",
        "outputId": "00344adc-694e-4ff3-f150-7cb480a933f9"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(array([[0.03271316],\n",
              "        [0.03286405],\n",
              "        [0.03030974],\n",
              "        ...,\n",
              "        [0.69088881],\n",
              "        [0.69981407],\n",
              "        [0.72545927]]),\n",
              " (2594, 1))"
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Scale the data\n",
        "scaler = MinMaxScaler()#feature_range=(0,1))\n",
        "scaled_data = scaler.fit_transform(dataset)\n",
        "\n",
        "scaled_data, scaled_data.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OF1P_aTu-OHS",
        "outputId": "932e719f-ef3b-4c71-8da9-a199b396ef12"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[array([0.03271316, 0.03286405, 0.03030974, 0.02969346, 0.02978484,\n",
            "       0.03218616, 0.03286193, 0.03431335, 0.03773469, 0.04229932,\n",
            "       0.04144504, 0.04144717, 0.04474738, 0.04578017, 0.04504489,\n",
            "       0.04437338, 0.04367423, 0.04599691, 0.04759072, 0.04825799,\n",
            "       0.04660894, 0.044418  , 0.04847262, 0.0507443 , 0.04967964,\n",
            "       0.05167084, 0.05221272, 0.0505573 , 0.05008129, 0.04935239,\n",
            "       0.04562503, 0.04029114, 0.04657494, 0.04628593, 0.04184455,\n",
            "       0.03877172, 0.0384997 , 0.03607289, 0.04663868, 0.04614992,\n",
            "       0.04515114, 0.04110928, 0.04071615, 0.04153429, 0.04065027,\n",
            "       0.03712905, 0.03802795, 0.03775169, 0.03796419, 0.03824894,\n",
            "       0.0374393 , 0.03563512, 0.03456197, 0.0330553 , 0.02966372,\n",
            "       0.02971896, 0.03628539, 0.0353695 , 0.03825746, 0.03714393])]\n",
            "[0.036500023399033785]\n",
            "\n",
            "[array([0.03271316, 0.03286405, 0.03030974, 0.02969346, 0.02978484,\n",
            "       0.03218616, 0.03286193, 0.03431335, 0.03773469, 0.04229932,\n",
            "       0.04144504, 0.04144717, 0.04474738, 0.04578017, 0.04504489,\n",
            "       0.04437338, 0.04367423, 0.04599691, 0.04759072, 0.04825799,\n",
            "       0.04660894, 0.044418  , 0.04847262, 0.0507443 , 0.04967964,\n",
            "       0.05167084, 0.05221272, 0.0505573 , 0.05008129, 0.04935239,\n",
            "       0.04562503, 0.04029114, 0.04657494, 0.04628593, 0.04184455,\n",
            "       0.03877172, 0.0384997 , 0.03607289, 0.04663868, 0.04614992,\n",
            "       0.04515114, 0.04110928, 0.04071615, 0.04153429, 0.04065027,\n",
            "       0.03712905, 0.03802795, 0.03775169, 0.03796419, 0.03824894,\n",
            "       0.0374393 , 0.03563512, 0.03456197, 0.0330553 , 0.02966372,\n",
            "       0.02971896, 0.03628539, 0.0353695 , 0.03825746, 0.03714393]), array([0.03286405, 0.03030974, 0.02969346, 0.02978484, 0.03218616,\n",
            "       0.03286193, 0.03431335, 0.03773469, 0.04229932, 0.04144504,\n",
            "       0.04144717, 0.04474738, 0.04578017, 0.04504489, 0.04437338,\n",
            "       0.04367423, 0.04599691, 0.04759072, 0.04825799, 0.04660894,\n",
            "       0.044418  , 0.04847262, 0.0507443 , 0.04967964, 0.05167084,\n",
            "       0.05221272, 0.0505573 , 0.05008129, 0.04935239, 0.04562503,\n",
            "       0.04029114, 0.04657494, 0.04628593, 0.04184455, 0.03877172,\n",
            "       0.0384997 , 0.03607289, 0.04663868, 0.04614992, 0.04515114,\n",
            "       0.04110928, 0.04071615, 0.04153429, 0.04065027, 0.03712905,\n",
            "       0.03802795, 0.03775169, 0.03796419, 0.03824894, 0.0374393 ,\n",
            "       0.03563512, 0.03456197, 0.0330553 , 0.02966372, 0.02971896,\n",
            "       0.03628539, 0.0353695 , 0.03825746, 0.03714393, 0.03650002])]\n",
            "[0.036500023399033785, 0.038620829709805266]\n",
            "\n",
            "2016\n",
            "2016\n"
          ]
        }
      ],
      "source": [
        "# Create the training data set\n",
        "train_data = scaled_data[0:training_data_len,:]\n",
        "## Split the data into train and test\n",
        "x_train = []\n",
        "y_train = []\n",
        "\n",
        "for i in range(60, len(train_data)):\n",
        "  x_train.append(train_data[i-60:i,0])\n",
        "  y_train.append(train_data[i,0])\n",
        "  if i<=61:\n",
        "    print(x_train)\n",
        "    print(y_train)\n",
        "    print()\n",
        "print(len(x_train))\n",
        "print(len(y_train))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "wSJzDHaO-OKJ"
      },
      "outputs": [],
      "source": [
        "x_train, y_train = np.array(x_train), np.array(y_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rIhSHq0Z-0B4",
        "outputId": "a0b83719-946d-4645-db24-5c0ed4e47e6c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(2016, 60, 1)"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x_train = np.reshape(x_train, (x_train.shape[0],x_train.shape[1],1))\n",
        "x_train.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "5YCO1pcr-0FA"
      },
      "outputs": [],
      "source": [
        "model = Sequential()\n",
        "model.add(LSTM(50, return_sequences=True, input_shape=(x_train.shape[1],1)))\n",
        "model.add(LSTM(50, return_sequences=False))\n",
        "model.add(Dense(25))\n",
        "model.add(Dense(1))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "jp98FPAM-0Hn"
      },
      "outputs": [],
      "source": [
        "model.compile(optimizer='adam', loss='mean_squared_error')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LV9YwnlA-0Jt",
        "outputId": "882648ef-f811-421c-9565-ddaa47f0e5fc"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/5\n",
            "2016/2016 [==============================] - 87s 36ms/step - loss: 2.8205e-04\n",
            "Epoch 2/5\n",
            "2016/2016 [==============================] - 78s 39ms/step - loss: 1.3675e-04\n",
            "Epoch 3/5\n",
            "2016/2016 [==============================] - 65s 32ms/step - loss: 1.1663e-04\n",
            "Epoch 4/5\n",
            "2016/2016 [==============================] - 63s 31ms/step - loss: 7.4999e-05\n",
            "Epoch 5/5\n",
            "2016/2016 [==============================] - 61s 30ms/step - loss: 7.7086e-05\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7fae94b8e0e0>"
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.fit(x_train, y_train, batch_size=1, epochs=5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "-UyZXcZU-ONA"
      },
      "outputs": [],
      "source": [
        "\n",
        "test_data = scaled_data[training_data_len-60: , :]\n",
        "#Create the data sets x_test and y_test\n",
        "x_test = []\n",
        "y_test = dataset[training_data_len:, : ]\n",
        "for i in range(60, len(test_data)):\n",
        "  x_test.append(test_data[i-60:i, 0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "fHOXMgfE-OP4"
      },
      "outputs": [],
      "source": [
        "# Convert the data to a numpy array\n",
        "x_test = np.array(x_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HTIPjsbE_LbF",
        "outputId": "f61bb2ae-f190-4a75-a6dc-b624ed5695fb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "17/17 [==============================] - 1s 16ms/step\n"
          ]
        }
      ],
      "source": [
        "lstm_predictions = model.predict(x_test)\n",
        "lstm_predictions = scaler.inverse_transform(lstm_predictions)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GyC8wDGlLbBz",
        "outputId": "ed79b330-cfc7-43a8-9484-88ad97492fed"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[[81.421684]\n",
            " [81.94853 ]\n",
            " [82.40223 ]\n",
            " [81.9641  ]\n",
            " [83.50817 ]] [[80.834999]\n",
            " [81.279999]\n",
            " [80.580002]\n",
            " [82.875   ]\n",
            " [83.364998]]\n"
          ]
        }
      ],
      "source": [
        "print(lstm_predictions[0:5], y_test[0:5])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Nl2kpAOiLbFH",
        "outputId": "f7372cb3-9a0a-49f3-fd04-6c23c870fd84"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(3.4030795417051953, 1.8447437604462023)"
            ]
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mse = np.mean(lstm_predictions-y_test)**2\n",
        "rmse = np.sqrt(np.mean(lstm_predictions-y_test)**2)\n",
        "mse, rmse"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 685
        },
        "id": "q55xQ7EaLbIQ",
        "outputId": "3acb77f4-6946-4684-dd05-5d251bd567cf"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "<ipython-input-30-44fc118451ff>:4: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  valid['Predictions'] = lstm_predictions\n"
          ]
        },
        {
          "data": {
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Q0FonffGMPF002Lmh5QvVe+v19pq3U65tXb219hq9l34w6QexczVFNXp+zxv0gwW/VIvFovsrIlWSc+s/1akd3t1VaFnuLNfZ25+t1S2rNbFsYk5frxDZ7amVloGwP+1Yf0KDJBBaAgAAAAAADA3/PkeS5O1ir8p6b32n12qLa/XzHX+ecr6mZEzKuUDQl3yicVWssU9njXbO3/H8Tt89UNmdqZWWwVD60DIQotIyEcvDAQAAAAAAhoKlr0qSPJbUpcmdsSQEnJt8m9KOcbkqZOvQebw+0Jw8qHGlNkX3z6x0VWb8/oHOaiuS0eH3JhDypR2bEvQOcYSWAAAAAAAAQ4Et0jTHk2Y/xc6U2Etix3ZL+j0uDWdpcudwSRsDLfEPAa/MlnXaFN0/s8pZlfH7BzrDXiR7cmapQCiQdiyVlskILQEAAAAAAIaCaIMbbxahZZO/SXfNvEvbVG+jy3a5rJPnFsndoZpwYyi6P2Pd19Km5WozjFjH7ApXRdZTH7BsTtnVodIy2nDHYVg7nKfSMhF7WgIAAAAAAHTH0xDZE3LCXtKeA3XvxUho+N/i1OYwiUrsJdq6emu9u/ZdTRs5TfuM2Uf7jNmn8xtsTrnDycFcS8gnbVgs3bWbZFhVH10a7rK65LYNnu7g3bK51GpJrhkMrnxbGlsrp8UufygUO+/vZNn4UEVoCQAAAAAA0J3//lpa8lLkZ4CGlmblOP2g2qnv7KnLvMud5Wr0NUqSfjXtV9qmehs9/83z+snWP+n+wYaRUmnp82yUvnwu+uKQGiwOSUNrP0tJkjX199ofrTi1W2x65KBH9OOXfiyJSsuOWB4OAAAAAADQnYbv4sf+tv6bRw+sCrSmDSwladrIabHjwycfrkkVk3TBThdkvJTbVVyT9NlrWKR518Y+tzfhqXBm9rxBI02ndl80tLQZNu1Qs4NOCUQC3WA4fVfxoYrQEgAAAAAAoDs2lz5zOHR/eZlCjd91P74A+YKdh63n73i+jt7saL149Is5Pdtds3XS5477Zsaa8LiGThMeSVLJiJRT7d3b7RZb9NfI700gRGiZiNASAAAAAACgO0GvThg9Un+qqtALXz/T37PJSUsgHlqOLR2bdG1i+URdvefVKecz5bK6kj57LcmhZUN0X8ch1YRHkmyOlFPt3dvt1sg1uxEJLwktkxFaAgAAAAAAdGNdoDV2vL5tQz/OJEemqZaQN/bxop0uyuvj3fbk5jqJlZYhKdaIp9I5xPa0TKM9tLRZIkv1HdFKSz/Lw5PQiAcAAAAAAKAbq8Ke2PGA7PLsb1VLtPpxZNEIHTThIOmN/D2+Y6VlyDAUkHR9daVeLS5SZSgsaQg24kmjLVp1arc6I78aNsmUAuFAf06r4BBaAgAAAAAAdMOTEFTW+Rv7cSY58jXHQsstq7bK++PdNnfKOa9h6MmyUklSQ3RPy3JHed7fPdA0RUPLYkeJpGjFZUgKhAgtE7E8HAAAAAAAoBvehECpLtDcjzPJka9ZrdFO1iXRsKydzdLzmjZntGowkceSGjsVO4p7/K6BrjG6VL7IHvnfob0hTyAc7Lc5FSJCSwAAAAAAgG54zPh+g81BTxcjC5SvWc3RELHEnhxa2qN7K/ZE4rJvqxGpqvxDdepS8I7vHoraKy2L7EWS4r//fpaHJ2F5OAAAAAAAQDc84aCkSLfngBnq38nkwtek1ujy8PZKy0MnHqoXl7+oM7Y7o8ePP37L42Wz2DS2dKzOm3ueJGlecVHKuGI7lZZPRJfMt4eWDkv7nysqLRMRWgIAAAAAAHTDk7B0d0Au401Tafl/0/9PJ211krap3qbHj3danTppq5O6HUelZVyRLVppaY1UWgbCAzAM70UsDwcAAAAAAOhKOCSPEY599A/Eijhfs1o7hJYOq0PbD99eVos1r6/65W6/7PQaoWVce/MiuzVSaRkciH+uehGhJQAAAAAAQFeCXnkNI/5xQC4Pj1da9nYznB9O+WGn19qXRA8lN+1zk2qcVSnnO+5pSaVlMkJLAAAAAACArgS88hjxCGVAhku+5tielqX20l59VbG9WFND8d+vbau3jR137Fw+FMyaOEtzZ83W5j5/0vlN3k2SJEe087p/IIbhvYjQEgAAAAAAoCv+Znks8UpLv8JdDC5Qvia1RIPXvmiG8+NpV8SOZ46fGTtubzoz5NiL5JCZdGrLqi0jl6wDuMFTL6IRDwAAAAAAQFe8jUnLwwdkuORrVkt0eXipo3crLSWpqHxs7HiLyi304tEvymFxyEj4fRxSbC45zHhoufuo3XXYpMMkSfZopWXAHIBheC8itAQAAAAAAOiKt0mepNDS7GJwgUpYHt4XlZaJ7xhRPEJjS8d2MXoIsLlkT/hjc9SUo2SJVr7abS5JUmAgVvD2IpaHAwAAAAAAdMXXJI8lHqEMxOXhAW9j7Dv0RQdvS8IeoCOLR/b6+wqexZJUaemwxpfJU2mZHqElAAAAAABAVzpWWsqUOf8W6cvn+3FS2WnzN8WOe7t7uCRVuipjx73d+GegcCaElu0dwyXJbos24tEArODtRSwPBwAAAAAA6Iq3MakRjyQF5/2f7JL0u02SpfBrwlpaN0hlkstiTwrMesv4svG6fu/rVeOuGbr7WHZgN+IxXHJo6ZbE8vCOCv+/KgAAAAAAgN4WDkurPpCCvtRrvuRKS0kKtH/+54/7YHI9tOYTtTSvlCSV9EETnnY/mPQD7TZqtz57X6FzTJoRO7ZbU0PLoCRzIO6X2ksILQEAAAAAABbcId2/v/TseanX/C3yGskRSiy0/GoALBH/bqFaovMvcZT182SGLkfZ6NhxuuXhkhQMB/t0ToWM0BIAAAAAAOCt2yO/fvpk6rWgP2V5uN9Ivl7QVn+kluj8+6IJD9JLbr4TDy0d9qLYcSAc6NM5FTJCSwAAAAAAAEfnYZ4Z8HS+PFySNq3opUnlScNKNUf33eyLJjxIz2FJCC2TKi1dsWP/O/dIL14urV7Ul1MrSISWAAAAAAAACdVuHQVCPoU7hJarbTZdOrxaj5SVSms/6e3Z9Uxbnd5zR4KxGndNP09m6EraxzIhtLTa3LJE97IMLH5Bevc+adPyPp9foSG0BAAAAAAA6KIC0RP0xI5LQ5EOzzdVVeq/JcW6qbpSi/9zTqSJT6FqrdP/oqHl4ZMP7+fJDF2JlZaJS8VldcjeHlqu+ShyLqH6cqgitAQAAAAAAHAUa77bpTfdqWGRLxpaWiW5zUhoucwer5T7yuGI74nZU97G/DynXTisFu8mrbfZJEnbDNsmv89HxpzWeMOdxEpLWe1yRJuG+xWt6E1ozjNU2fp7AgAAAAAAAP3NZ3frvJGRpdPzm9eqsnRk7Fog5JMk2WWV3Yx0d/YnNOZZYbdJdnfPJ/H1HGn2MdK+V0itG6QJe0vbHt2zZ3obtMJmlSQNcw1TGd3D+83Umqmx48SqS1kdsiuSWgbbtyGg0pLQEgAAAAAAwGOzS5E8Ul+veUe7lR4Zu+ZvDy0tVjmiy3gTLbfbpVAPOoiHw9LjJ0pLXop8fuPGyK/vPyhtfnCXS9e71VqnddHQsrakNvfnoMd2GL6DTtjyBIXNsCpcFfELNqds0T9Xsa70VFqyPBwAAAAAAPSTRY9Jf95Vqlva3zORLyF0XLr+46RrgWDkmsOwxvYeTLTcbpd8zbm/fNm8eGDZ0bcLcn+ut1Fa/aEaop3Dk4Iy9DnDMPSrab/Sb3b/TfIFq1326B+rWFd6K6EloSUAAAAAAOgfz5wj1S2R/nNhf89E/qA3dry26buka4FwJLS0W2xyKDW0/MZh15fejbm/3NfU+bUNi3N/7hMnS/8+Ww3WaGjprMj9Weg9iY14WB4eQ2gJAAAAAAD6l7ehv2cgXzheabmxbUPSNX+0CtNhsaettJSk4+w9CC0t1tjhUrtdXzjs8kuqs1qkr1/J/bnL50uSGqLPr3RW5v4s9B6rI7btQKD9HMvD8xtaNjU1af369QqFQvl8LAAAAAAAGMxCge7H9DJfMB5a1vs2JV0LhNorLePLeNsdMmJa7Nif676WRiSe8RiGjhozSv9v9CidO7JGB40drbfXvCM1fp/9M8PxbGaTleXhBc1qjzXiabRGA2wqLXMPLVesWKF7771XJ554oiZOnCiXy6XKykqNGjVKDodDVVVVmj59un71q1/plVdeIcgEAAAAAAApQpIULoDQMrHSMtiadM0fnZ/D6kyptLxmp0tix42+xuxfbJrSEyfrA6dTh46JN8p51+1SwDB01bDqSCfxbHkaYoebokEYy8MLlNUZC8MvrxmmuUVuyebo+p4hIKvu4eFwWM8884zuvfdezZ07V6ZpyuykLLqhoUELFy7U22+/rRtvvFE1NTU67bTTdOaZZ2rChAn5mDsAAAAAABjA6iwWHTVmlA4KBPXbfp5LUmgZTq6YDIQDkpyyJ+w92M5dNFyVoZA2Wa1q8NRreNHw7F7cWidJOrV2RNrLfkPSkpel2h2ye66nXqtsVl1eM0yfOSNLjYe5h2X3DPQNa/K2A1cPq9JMKi0zDy2fffZZ/fKXv9SSJUtiQeXkyZM1bdo07bjjjho2bJiqqqrkdrtVX1+v+vp6LV++XO+8844++OADrVu3TjfccINuvvlmnXnmmbrqqqs0fHiW/yEDAAAAAIBB49nSYjVYrfqnVf0eWvoTlqjXG5EiLSPaFMUfDioWWna80Vmq8lA4Elq2rJaqt8juxYG2Li/XWa3yvXG9nPteIbU3aclE20bNKSqKBZaSNNxNDlOQLMld6Q1JslJpmVFoOWPGDL355psyTVNTp07VySefrBNPPFGjRo3K6CXhcFhz587VP/7xDz3zzDP6y1/+otmzZ+uRRx7R4Ycf3qMvAAAAAAAABqaScDyoSQwJ+5y/Tb7WdVJJJNQLGoaaXv6Fyn2t0pF3KRAOSpLsCQ1TJOmaPa+R7C5VRM81tq7N4d0tWmWzdnrZNAwtcLu1XyiQ3ZLhtnrVW5Ofm3UVKPpMYhhumMouoB6kMtrTcv78+TrooIO0cOFCffTRR7r00kszDiwlyWKx6MADD9Tf/vY3rVmzRtdff70cDoc++uijnCcOAAAAAAAGtrJwOHac036Q+fKPY+TrEBJt/PBBadFsqeE7BcxIaNlxT8vNKjeTJJUrEg42ttVl/25fi84dUdPlkIUulxTyZf7MgEd6/AQ1WpNjnypXVfbzQ59IqbREZqHlwoUL9dJLL2natGndD+5GUVGRrrjiCi1fvlzHHHNMj58HAAAAAAAGvjpPDoFfvny3QP6OoWV7lWKgTYHoNbvVKfsWh8bGtDe2KTEiC1lbvMldxzPib9YKR8qi8yQNVosUzKIz+ZJXIvdZ4rHPQeMPks2SVWsT9CH7iO1ixxal7x8z1GT0pzUfYWVHxcXF2mabbfL+XAAAAAAAMDAEEoLCem99P85EKZWW9e2Bn2dTLNB02FwK2otjYypdlZKkEotDkk+tvoYcXtzS7ZAGqyW7SkszFL9P0s373qxDJhyS/dzQZ+wjtpFalvX3NApKRpWWAAAAAAAA+RZIPA4HOh3XFzpWWn7udOp3w6q08pEfKBC9ZLc6tcGzITamOBpgFlkjzW5a/M05vDg5tLx75t0pQxa63VrTtCrzZwa8kqTGaPDaXhGKwmW3xKttWR4eQWgJAAAAAAD6XjiUVGkZilYH9pevnMlNbh6qKNO/S0t04YjhsUDTbnVoQ9uGlHtLouFlm68p+xd3qLTce8zesePa4trY8V8Wz87seS0bpOcv0n+L3FrmiHynSmdl9vNCn0oMLQnrInrl98E0TS1YsEBPPPGEXn/9dfn9Wey7AAAAAAAABr+gL6m6MRTuv9Dya3eZXiiJBI9loeR5fO1wKBCtfbNb7GoLtqXcX+yONLhpyWV5uL9ZI4ORRj837n2jJOm2GbdplxG76Ko9r4oPW/Gm9M3r3T/v5V9KIb8uHRHvFD6yeGT280KfStxv1GBLS0k5hJYbN27UvHnz9Oabb6a9vnz5cm2//fbae++9deKJJ2rmzJmaOHGi5syZ0+PJAgAAAACAQSLkiy27lqSwGe58bG8yTX1hjb97RpsnZUhsT0urQ1ftcZVK7CW6dvq1seslRZHu3y31yyQzy8TJ16JWIxLPbF29tSTpgPEH6KFDHtJOI3aKDattqZP+fmT3z/v+g5RTZY6y7OaEPmcmNN9Zbbf1a4hfKLIOLe+//34deOCBuvXWW1OuhUIhHXnkkfr8889lmqYqKiokSWvWrNGRRx6pJUuW9HjCAAAAAABgEAj6k5aHB81g/8wjFJA3Oo0DRu+r6lBqeNrepMdpdWq3UbvprRPe0pFT4gFiSUmkkrHVYpFWvZfV601vk1oskeeXOEqSrjmtTv3IH4luOu652anyMSm9p41M70W/8Qa9SZ8f+vyhfppJ4cg6tHzjjTckSaeddlrKtSeffFKfffaZSkpK9Prrr2vjxo1atWqVdtllF3m9Xv3xj3/s+YwBAAAAAMDAF/LFll1L/VhpGfTI2x5K2ovkTjOPl0uKJEkum0uSZDGS45Ti2khFZLPFkNqy64Lu8TfJjL6/yFaUcr3KiCwb9mYaPJbVqs4an9/McTOzmg/6x1GbHZX0+dCJh/bTTApH1qHl119/LcMwNGPGjJRrTz75pAzD0EUXXaR99tlHkjRq1Cg98MADMk1T8+bN6/GEAQAAAADAINCh0rLfGvEEvPJGKx1d9iIV1e6SMqTeapUUqXxMp7pysiRpo9UqdaiY605rtHmPRYbcNnfKdZcRadDyRFmpzh4xvNsu66GgX4ePiTfwuWXfW7KaD/rH1OFT9dGPP9KB4w/U+Tucr9qS2u5vGuSyDi3Xrl2rsrIylZaWplx76623JEnHHHNM0vnttttOEyZM0Pfff5/jNAEAAAAAwKDSYU/LftvDb/5NsSpGt80t9xadV7h1FloOcw+TJDVYrQr4W7N6fUugWZJUbHWmXcbtNKyx4wVFbr2/9v0un9ccaIksU5d07tRzkxq8oLDZLDbdOuNWnT317P6eSkHIKLS0WCyyWq2yWq1qa2tTY2Nj7HPiz4YNG2SapnbaaaeUaytWrJDP50s6d8011/T29wMAAAAAAIUo6E2qtOyX5eF1S6X37o+Fli6bSy0hX6fDOwstK5wVao8Gv/esy2oKrf4WSVKJ1ZX+naHkysruQsi2YDw0/dkOP8tqLkAhyShuf+211yRJpmnqoIMOksvl0n/+85+kMW+88Yauuuoq7bDDDrrtttuSrpmmqUsuuUSfffaZXn311dj5CRMm9HD6AAAAAABgQCqE5eGbVmi53aZ/lEe6a7usri7D0/Y9LTsyDEPtbYR+vfJFzdYlGU+hJdgmOaTiNPtZSpIr4JUc8c8dG7Z05PFHnlfRyfOAgSKj0HLfffeNHdfU1GjNmjWqrq7WtttuGzv/1FNPyTAMzZw5M2l8u1AopIqKirTXAAAAAADAEBPyJXXE7pfl4bOP0TETxsY+umwu/XDiD/Snj+9OO9xhdaQ9L0kuWeRVWFbTlF67Thq9i7T5Qd1OoTXolWRVsT19yOj0NEjF5bHPbdHKzM60hTySJHcnVaHAQJH1npbTp0+XaZo655xztHHjRknSggUL9MADD0iSjj766JR7PB6PvvzyS02ZMqWH0wUAAAAAAINC0K/Ehc/91YgnsdrTbXOrvKhaE/zpm924OlnCLUk3lEQKu0zPRumNG6VHf5TR+1uDbZKkEkdq7xBJcm11eNLntmVzpJXvSeH0FaGeUKQSs8ia2tQHGEiyDi0vueQSWa1WLVy4UCNHjlRNTY323ntveTwe7bvvvtpjjz1S7nn22WcVDAa111575WXSAAAAAABggAv5+n15eIMlORbpbM/KTK63d/72hPyZTyDgUUu0G3ixqyL9O6eelPS57dPHpQcOkK6tkf51mpRYodq4Sm0t66Pz6TxgBQaCrEPLadOm6W9/+5vKysoUCoVUV1cn0zS1yy676NFHH017z2233SbDMFK6igMAAAAAgCEq6JMvsRFPXy8PD4e0zmZNOtW+Z6WZ0MT76Ob4cuyMQsvUBuCda6tXSzQ4LXFWpB1S5ChJvsWIRjnhgPTZU9IDB0qByJJw3b6dPBYjel/6yk1goMip7/2JJ56oI444Qv/73/+0adMmTZo0SdOmTUs7tqmpST/72c9ks9k6HQMAAAAAAIaQoF/69MlY125JCoWDXdzQC0IBrbcmh5blzsjekWbiua2PkVa+Ikly2roILaN7UnoSvpOCPqmLe9S2UXXROVS5q9MOmVg+Melzq6VDKvr9B9IXz0pjd5PMsNqi7y9ylgsYyHIKLSWppKREhxxySLfjysrKdMopp+T6GgAAAAAAMNj87zZpycvy1o6InQqF0+8j2WvCAW3oEFpuXrm5pOTQ0l45XloZOe5qT0u3vVhSh9DS19J9aBmt9hzmHpZ2SGmHiskWi0UbLRZVh8MyJTVZLCpv+l5a84k2WSy6anh10nyAgSrr5eEAAAAAAAA98r/bJClpeXi/VFp2WB5e5aqSJJnl8Y7i48vGx45rS2o7fZzbHlnG7TEioWdQknxNXc9h03LVWSPRzHD38E6H3bLvLbHjJ8pKtf+40frF8GptP3Gc9ho/Ro9v+EBa/JKura6MjSvqpBs5MFAMiNBy/vz5Ovzww1VbWyvDMPTMM8/ErgUCAV1xxRXabrvtVFxcrNraWv3kJz/R6tWrk54xYcIEGYaR9HPDDTf08TcBAAAAAGCIW/up/mc39f9qR2ipwxE7He6H0LJ9f0iLYdGDBz8Yu+RK2EfyoPEH6ec7/lzP/vBZ2SydL1h1R4POkGHo+qpK7TV+jL7btDRy0TSlDUukUIdq0i+ejVV7dlZpKUkHTzhYf6jcLfY5bBh6qSReSTm7ZYn0yeNa6I53DB9XNq7T5wEDQUah5XvvvZf3F3s8Hn355ZcZjW1tbdXUqVN11113pVxra2vThx9+qN/+9rf68MMP9fTTT2vx4sU64ogjUsZec801WrNmTezn5z//eY+/BwAAAAAAyML7D+nckTX6wpm8bDrYD8vDA9FCz9O3PV27jtw1dukPe/1BI4pG6A97/UEum0tnbX+WJpVP6vJx7i0Pjx0/Vl6qVotFf/j8/siJz56S7tpVev6ipHsCLeu01hYJQkcVj+ry+Z3teSlJdWGfwpLaEva77CoEBQaCjELLadOm6YgjjtCHH37Y4xd6PB7dcsstmjhxop588smM7pk1a5auvfZaHXXUUSnXysvL9eqrr+q4447TFltsod13311//vOf9cEHH+i7775LGltaWqqRI0fGfoqL2d8BAAAAAIA+ZXenPd3n3cNDfvmjy9PtFnvSpa2rt9acH83REZNTC6I6Y7O7ZFdyk5yvWqK5xBs3KSCpbdHspOsrg60KGoaKrE6NLB7Z5fOrnJWdXmsxpK/tdoWi36fEXqJ9x+yb8dyBQpRRaDl9+nQ9//zz2nXXXWOh4IYNGzJ+iWmamjt3rk477TSNGjVKV1xxhdra2rTDDjvkOu8uNTY2yjAMVVRUJJ2/4YYbVF1drR133FE333yzgsGuS899Pp+ampqSfgAAAAAAQA8YRtrTfd6IJxRUoD20tNq7GZyZEbbk4qj6QIskySyu1vG1I3X4mFFq8TXHrn9j+iRJk0rGyOjk96VdV5WWkjS3OLKH5bbV22ruj+bGOqEDA1VG3cPffPNNPfXUU7riiiv07rvv6r333tNFF12kzTffXLvttpumTp2q4cOHq6qqSk6nU5s2bVJ9fb2++eYbvfvuu3r//ffV2toq0zRltVp15pln6pprrlFNTU3ev5DX69UVV1yhE044QWVlZbHzF1xwgXbaaSdVVVVpwYIFuvLKK7VmzRrdeuutnT7r+uuv19VXX533OQIAAAAAMFT5W9IXQYUyqbQM+qXvFkpjp0n2zjt5d6v+G6lpVaeVlrma4qjSqmBLynmPs0xLLJH9O19b9rwO3/oESVJj2C/JqWGurgNJSSp3dV5pKUn/LY5UsO42ajea8GBQyCi0lKRjjjlGRx55pP71r3/pnnvu0fz58/XVV19p8eLFeuSRRzq9zzRNSdLw4cP105/+VGeffbYmTpzY85mnEQgEdNxxx8k0Tf3lL39JunbJJZfEjrfffns5HA6dffbZuv766+XssI9GuyuvvDLpvqamJo0dOzbtWAAAAAAA0L3W1nVpz4fNDBrxvPpb6Z17pO2Ok475a24TaFot3bGjJMlfE9n30WF1dHVHxrZ01+j1tu9Szjf5G9W+cvybhmhznnBYrdHv7E5o/NMZl7Mi5ZzNYtPUtjZ94HJoWbSp0YSyCTnNHSg0GYeWkmSz2XT88cfr+OOP19dff61XXnlF8+fP1zvvvKM1a9YkLbcuKyvT1ltvrX322UczZszQzJkzZbfn518u0mkPLL/99lvNmzcvqcoynWnTpikYDGrFihXaYost0o5xOp2dBpoAAAAAACB7rUFP2s3qgpl0D3/nnsivn/4z99ByySuxw/YF6Q5LfkLLWZVb656N76ecb/ZslKLFj96gJ/ryNrVGG+cUO7rOMCTJcKRWTwbDQY2bMEMfrF0QO1fZTUUmMFBkFVom2myzzbTZZpvp/PPPj51raGiQ1+tVdXV1rwaUHbUHll9//bVee+01VVd3X1a9aNEiWSyWXlmiDgAAAAAA0msN+9OGln3WiGfjUn3odOqZ0mJtsFkl5W9Py5HO9B27m/0tUlEkgvEF2iIn/a3yGJHfiCJHafcPTxNaVrmqNK52VykhtKxIU5EJDEQ5h5bpdGx8ky8tLS1aunRp7PPy5cu1aNEiVVVVadSoUTr22GP14Ycf6vnnn1coFNLatWslSVVVVXI4HFq4cKHeeecd7bfffiotLdXChQt18cUX6+STT1ZlJf8CAQAAAABAX2kN+yVJ41zDdPmev9c/XzxHb7rsCpsZhJYWu9TThj1tG3VK7YikU/mqtHQ6ilPOmaapppBP7RGM78tnpe3OlqyOhErL7peHy5787CMmH6Hjtzhezf7mpPOElhgs8hpa9pb3339f++23X+xz+z6Tp5xyiq666io999xzkpTSjfy1117TjBkz5HQ69fjjj+uqq66Sz+fTxIkTdfHFFyftVwkAAAAAAHpfa3QZeLHVpRljZ2hZIKw3XZktDzetDl1VVaqyUFiX5vDuhhcu0W3fvyKVJoeE+aq0tNrdspmmggmdwH0hn5pNv6RI6OgzDOnfZ0tH3qVWS7TS0pZB4xy7O+njH/b6gyQp0CHEZXk4BosBEVrOmDEj1tAnna6uSdJOO+2kt99+O9/TAgAAAAAAWfJHm884o81vrNG14plUWq6zO/R0NHA8J9CqYntqZWOnmtbob0v/pacrylMu5at7uGwuuUxTLQmhpcfbqCYjnlv4DEOqWyq1bVRbdFxG3b5t6Xtu2C12PX7Y4zr+heMlSaWZLDUHBoABEVoCAAAAAIDBIRANLduDQms0uMuoEU9CReTqltXarHKzzF+8+kOttqWPQfLVPVw2p6wdCqvaPHVqssQ38fRZDCnQKm1cqrb2SstMQkt3VaeXthm2jf5ywF/ktrllMdJsGAoMQPxJBgAAAAAAfSYQbbjTHlq2h2yZVFoGOoSW2b3YowZL+hgkX3tayuqUtcOptrY6NSe8d6HbrdsryxXa8LVa2ve0tGVQMWrtuu5sr9F7aecRO2c7Y6BgEVoCAAAAAIA+EzCTQ0tre2gZDnd7b9ASjwRXt2YfWnZWaZm/5eFO2TpWWr5yZVKlpSQ9UFGu9xq+0kZr5PtUu6szevxw93BJ0h6j9sjDZIHCxvJwAAAAAADQZyLLwG2yx/a0NCSZCprdLw8PWu2SIo1ncqm0bO/W3VH+loe7Uist65equSx1n8mGNYtUVx053x5Gduf+g+/Xv5b8S6dte1pPZwoUPCotAQAAAABAnwkoUlHZHlraopWWmexpGUxYIv19wzfZvTjokTf6rsu2OzvpUv4qLR2ydOgVvMZm07zi1D0rV1tCsS7jmVZaTiqfpF/s+gsNcw/r8VSBQkdoCQAAAAAA+kxseXg0tCwK+CRJbU0ru703mFARuWbDZ1m+2CtvtNLy4C2O1TNHPhO7ZLPkaSGqzSWrklPLx9NUWUrSuy6XJKnMVpS/Sk9gEGF5OAAAAAAA6DMBM1ppGW1+U9JWL5XVqNXf0u29QUexpEZJ0re+TTJNU4aRfsl3R6FAmwLRsU6rUyOLR+q6va7T6pbVGlc2LodvkkZxjaxWp6T4/pzeTub3VpFbkjTMWZmfdwODTI9DS7/fr1WrVqm+vl6SVF1drdGjR8vh4F8JAAAAAABAgnA4uiOlZLNFcoPi7U+U1s+JddLuStAMSdFhzYapdW3rNLJ4ZPrBqz+S3n9I2v83UkmNfIHW2CWXLVLlePjkw3P+KmlZbSqp2Vqqi1eBLnd0vfTcmq+l6cAgk9Py8HA4rIceekgzZsxQeXm5NttsM02bNk3Tpk3TlClTVFFRof3331+PPPJIRt2/AAAAAADAEBAOKBANHWOVltWbSZJa1X1+EOiw7+XS+q87H3z/gdKHf5NevEyS5E0ILZ1WZzazzsrW1dukPX9qefrzIcNMex4Y6rIOLb/77jtNnTpVZ5xxht588035fD6Zppn04/V69cYbb+jUU0/VTjvtpFWrVvXG3AEAAAAAwEASCsSWaNujwWGJPdKkpsXsPrQMRvfDbFfX3Pk+mIFwQL8fVqWn1r0jSfIFPJIkh2GVxei9Fh9nbnemSu2p+1jWjt497fiQSWgJpJPV8vCNGzdqzz331Jo1a2SapoYNG6b9999fU6dOVVVVlSSpvr5eH3/8sebNm6e6ujp98sknmj59uj7++GNVVFT0xncAAAAAAAADQcivQHR9ty26RLvYVixJChiSP+TvsilNxw7jm1pWpx/4zHn6b3GRni4t0dOSjjLD8gbbJEkuo3fbe4woHqHX/t9rOu3fP9QnrfEirtGjdpK+eCBl/OZVW/TqfICBKqv/Ui+88EKtXr1adrtd1113nc4//3w5nelLqn0+n+688079+te/1qpVq3TxxRfroYceysukAQAAAADAABQOxpeHt3cPj1ZaSlJLoEVV1qpObw92qMbc1LoueUDzOv3xrd/r1bo3tHVx/LkrGlfIF/RKklx9sIek0+rUryYepeM/uzN2bs/aPWPH2w/bXufteJ6eX/a8Lt754l6fDzAQZVwPvXr1aj3xxBMyDEOzZ8/WpZde2mlgKUlOp1OXXXaZHnnkEZmmqdmzZ2vt2rV5mTQAAAAAABiAQv6E5eGR8NBqdcgd7YfRmrDvZDpBs0Olpacu+frzF+vhdW/pe7tNryaElks3fS1ftNLS2UeNb7Ypn5T02Waxqba4VpJ08ISDtWftnrpu7+s0vGh4n8wHGGgyDi2feOIJhUIhzZo1S8cee2zGLzjuuOM0a9YshUIhPfHEEzlNEgAAAAAADAKJe1q2h4cWq2zRbR0D4UAnN0Z03NNyk68p6fOy5f9Ne1/dwjvkje5p6bL1XhOeJGma/cw+bLZu2fcWnbDVCX0zB2AAyzi0fPfdd2UYhs4444ysX3LGGWfINE298847Wd8LAAAAAAAGiVBA7bWS8dDSLrsiqWXHPSs7CoaTQ8vmYHJl5kZ7+kCybsOn8T0tra4sJ52jNHtzDnMP08ETDo5/dwCdyji0/OSTTyRJe+yxR9Yv2XPPPZOeAQAAAAAAhqCgJ2V5uCw22cwMQ8vonpauaGWmJ+RLuu7rpInPXyvK1Rzd07LYXpLT1LNm67yhEIDuZRxa1tXVyW63a8SIEVm/ZMSIEXI4HNqwYUPW9wIAAAAAgEHC15JmebhN9mgI2V1oGYguDy+NdiBv8zUmXfdbk/sNj7C4Y8fvWSJLz0udpbnNPVsJAaoRnS+AzGUcWjY1Nam8vDznF5WXl6upqan7gQAAAAAAYHDyt8ifbk/L9uXhdYu7vD2oSKVlmREJJz1Bj7T20/jjO4SWh2z5o9jxZw6rJKnEWZH7/LORsKelxSC0BLKVcWjp8/lktVpzf5HFIr/fn/P9AAAAAABggPM1q9USCfBK2pdpJy4Pf+GyLm9vXx5eZkQCzzaLRVrySvzxRnLMMaliso7yRKozv3ZEKh9LnJU9/BIZssb3rTQyj18ARPFfDQAAAAAA6Bv+FjVbIlFEqSO6TNtii3UPD4a8qfd89aIW3r6FPl/0cKx7eJkRKapqMwyZaz6Rls+XwmH5O3QXL7IXabSSqy9LXbmvIs1KQpdyq0H8AmTL1v2QOI/Ho7///e85vcjj8eR0HwAAAAAAGCR88dCyxJFQadm+PDzNLd/968c6a2yt9PEfdU60e3hptNIybBh6+btXNevLZ6VjHpDfDEqKVzgW2YpUYrFLiq/8LHH00Z6WCUGlhdASyFpWoWVTU5N++tOf5vQi0zRlsIcDAAAAAABDlulrjoWWZY6yyEmLNVZpGUiTG3zujDe08UavVxjxYPIXNcO0xarVGvvV8/KHkysti+3FclscSgot+6p7uL1Ipzc06oGKcl2x88V9805gEMkqtDSje0wAAAAAAABky+drjAWTycvDI3lDutByY0J/jXW2yHGVq1JqWRc7f+SYWu0VWKGtOywPd1ldclmdklpi56rd1Xn5Lt1ylujCWQ/oBH+jRmx1bN+8ExhEMg4tly9f3pvzAAAAAAAAg5lpqnn5a1KRZJGhIltR5LzFFgsngpKWP3KERh/9oBzFw6RQQHXW+NLql0qKJUnlWxwmffBV0uP/F9iozTqEnoZhyG1zKtp0XJI0tnRsvr9Zp4zND9SIPnsbMLhkHFqOHz++N+cBAAAAAAAGs6bv9W3jcqlohErtJfEt5BIqLecVF+nK8HLt8+rZuuuHT0meTVptS40uKktH66o9rtJVC69KOu+LPtNqWHXE5CO0VdVWarK6YqGlIUO1JbW99hUB5A87wQIAAAAAgN61YYm+u3OqfjoqUne419h94tes8f0pXy2OVF/Ob1wiSTJfukJvFrlTHlfhrNAxmx+jX4aSm+q0h5bnTj1X10y/RoZhyJWw012Ne7icVqcAFD5CSwAAAAAA0LtWvaurh1XFPh468dD4NYs1tldlR68tf0ktltToosJZIUmauO0JSecD0eJNhzXevMftb40djy0bl+3MAfSTvIeWd999t3baaScVFxerqqpKBxxwgF5++eV8vwYAAAAAAAwUngZ9mtAFfOrwqfFrFptS2+9ErLCnLg23GhaNLhktSdpuh1OTrrVXWiaGlkW+eGg5pnRMlhMH0F8yDi0/+eQTTZo0Sdtvv718Pl/aMaeffrp+/vOf6+OPP5bH41FDQ4Nee+01HXbYYbrrrrvyNmkAAAAAADAABH3S13Ok5jWxYPKa3X6tcmd5fIzFJn+aruEyzVgImWiH6u1UZI8sIy91lOqRqr1i116JNupJDC1d3njn8L5swgOgZzIOLV977TWtWLFCu+66q5zO1P0fnn32WT300EMyTVMul0sHHnigjjrqKJWUlMg0TV122WVasWJFPucOAAAAAAAK2Su/lmYfo9DCP6stusx734kHJY/pLLQM+uQxUmOL6qKapM9jbaUpYxL3rSx2lcWO9xi1RzazB9CPMg4t33zzTRmGoR/+8Idpr99+++2SpOHDh+v999/XK6+8oqeeekpffPGFJkyYIL/frwcffDAfcwYAAAAAAAOA+d5f9Yvh1fr18OrYuRJ7SfIgw5K2ojLgbZQ3zflKd1XSZ2eaMQ5LwvLwo+7TecFinTX2IG07bNtsvwKAfpK6OUQnvv76a0nSnnvumXKtsbExFmr+8pe/1FZbbRW7Nnr0aP3qV7/SWWedpddeey0PUwYAAAAAAAPB9zarXoou2ZYku2FNWrotSTKMtKGlx7NBXkvk/PQ2j96KdhE/ZetTksY509RjJb1jxDY65/S3c/0KAPpJxpWW69atU0lJiaqrq1Ouvf322wqHw5KkY445JuV6+7klS5bkOk8AAAAAADDABDu02Cmxpm43JyltaNnmqY9VWu7t8ejj5d9poTlWY8uS96W0manPSwlGAQw4GVda1tfXq7i4OO21Dz74QJI0cuRIjRs3LuV6ZWWlioqK1NjYmOM0AQAAAADAQOOxJscOJbaitOOC6ULLtnp5ouddW/1QlmE7qmTnn6aMM5SaWjo7CUcBDBwZV1qWlJSoqalJHo8n5dr7778vSdphhx06vd9ut8tIt7EuAAAAAAAYlNpSQkt32nFnbH5CyjmPd1Nsebhri0OlXc+QLNbUm81wyim7xZ7DbAEUkoxDyylTpkiSXnnllaTzgUBAb7zxhgzD0B57pO/C5fV61dTUpKqqqrTXAQAAAADA4NNmTQ4ZizuptDx/2hXav7Ut+d5lr8ob7R7usrq6eAuVlsBglHFoOXPmTJmmqWuuuUYtLS2x83/+85+1adMmSdKhhx6a9t4PPvhApmlqs8026+F0AQAAAADAQNFmJIeWKZ3Do6wWq6ZNPizp3NoVr6nJEg0tbV2ElmkqLQktgYEv49Dy3HPPVVFRkT7++GNtttlmOuGEE7T33nvrsssuk2EY2nXXXbXTTjulvff555+PjQEAAAAAAENDmzU5dnA70vfKkKQj979ek4trY59/NXyYvnFElnl3F1reu3Z90im7leXhwECXcWg5btw43XvvvTIMQ+vWrdM///lPLViwQKZpqqSkRPfee2/a+4LBoGbPni1J2n///fMzawAAAAAAUPA8HaogLZbO+wEX24v1zP73aEaHZeJSN6Fl+VjVBoJJp6i0BAa+jENLSTrppJP09ttv68QTT9RWW22lrbbaSqeeeqree+89TZ06Ne09b775pmpqajRt2jTNnDkzL5MGAAAAAACF76XS5OXgRhehpSTJXakiM3WPSrc1fQMfSdLuP5Ozwz0OiyPjOQIoTN38bZFql1120T/+8Y+Mx++3336x7uIAAAAAAGBoME1TizqkDt2Glq5yFaVmll1XWtpdcuz8U2nDf2OnHFZCS2Cgy6rSEgAAAAAAIBP13vqUc0aHxjxpBqgoTZVkl6GlUkNKQktg4CO0BAAAAAAAebe2YZkkaXgwYb9Jw+j2vnTLw13WrkNLZ4dQ09ZdRSeAgpfxf8V///vfM36o2+3W8OHDtdNOO6msrCyniQEAAAAAgIFrzbJXJUmjgiFtsEXih11G7NLtfUXhNKFlN5WWdguNd4DBJuPQ8tRTT5WRwb+IJDIMQwcddJCuv/76Thv1AAAAAACAwWdT3WJJUpVp0X9WrtYil1NHTDmy2/vSVVpajK4Xiho2e26TBFCwsloebppmVj/hcFivvPKK9thjDz3//PO99R0AAAAAAECB8Td9L0ly1mylCVsfox/ud1234aOUPrTsloXQEhhsMq60XL58ecYPbWtr0/fff6///e9/uu+++7R27VqdfPLJ+vrrrzV8+PCcJgoAAAAAAAYOv6deckkOd6U0676M70u3PLxbztLs7wFQ0DIOLcePH5/Vg7faaisdcMABuvDCC7XPPvvoiy++0D333KPf/va3WU8SAAAAAAAMLP6wX5JFDntRVvcVmeHsX7b9cdLnt2Z/H4CC1evdwysrK3XLLbfINE298sorvf06AAAAAABQAPwhvyTJYcsytMwhs5SjWH/c948qthfrz/v/OYcHACg0GVda9sT+++8vm82mxYsX98XrAAAAAABAfzJN+cMBSa4cKi2Tl4cfVrNrRvcdNOEgHTD+gIz2zQRQ+PoktLTb7SovL1dTU1NfvA4AAAAAAPSnoE/+6KHDUZzVrYmh5QNr1mnHw67M+F4CS2Dw6LP/mltbW1VUlN2/rgAAAAAAgAHI3yK/ETl02EuyutUdjq8PHx8Iyl6RXY8NAINDn4SWH3/8sbxer8aNG9cXrwMAAAAAAP3J3yK/EUktnTZXVreWJoSWFeGQZHPkdWoABoY+CS2vvvpqGYahffbZpy9eBwAAAAAA+pMvHlo6rNmFjvYDr9bLK7/XS8Z4OS9d2huzAzAA9Nqeln6/X2+//bZuvPFGvfTSS7JYLDrnnHN663UAAAAAAKBQ+FtjoaXdYs/u3l1O1+jJ+0sVEyQLe1QCQ1XGoeWkSZMyfqjH49HGjRsVCoVi537zm99om222yW52AAAAAABg4Al65GtfHm51ZnevYUhVmWcQAAanjEPLFStW5PSCyspKXXPNNTrvvPNyuh8AAAAAAAww4ZACOS4PBwApi9DylFNOyfihbrdbw4YN084776wDDzyQruEAAAAAAAwl4VB8T0sLoSWA7GUcWj700EO9OQ8AAAAAADBYmKHY8nAqLQHkgh1tAQAAAABAfoVDCkQyS9mtWTbiAQARWgIAAAAAgHwLBxVSJLW0GRkv8gSAGEJLAAAAAACQX2ZIoWilpc1CaAkge4SWAAAAAAAgv8LhWKWl1bD282QADESElgAAAAAAIL/CQQWjlZZWC6ElgOwRWgIAAAAAgPwyQ1RaAugRQksAAAAAAJBfYfa0BNAzhJYAAAAAACC/wkEFqbQE0AOElgAAAAAAIL/McKzSkj0tAeSC0BIAAAAAAORXOKRQ9NBmsDwcQPZ6/DdHW1ub7r//fr3yyiv69ttv5fF4tGzZstj1xsZGvfDCCzIMQyeccEJPXwcAAAAAAApdOKiQEV0eTqUlgBz0KLRctGiRjjzySK1atUqmaUqSjOhfSu3Kysp07bXXavHixRoxYoT233//nrwSAAAAAAAUODMcVNBgT0sAuct5efjGjRt12GGHaeXKldppp510yy23qKysLGWcYRg6/fTTZZqmnnvuuR5NFgAAAAAAFL5wOBg7pns4gFzkHFredtttWrNmjWbOnKl33nlHl1xyidxud9qxhx12mCRp4cKFOb1r/vz5Ovzww1VbWyvDMPTMM88kXTdNU7/73e80atQoud1uHXDAAfr666+TxtTX1+ukk05SWVmZKioqdPrpp6ulpSWn+QAAAAAAgM6FzHhoSaUlgFzkHFr+5z//kWEYuummm2SxdP2YLbbYQna7PWmvy2y0trZq6tSpuuuuu9Jev+mmm3THHXfonnvu0TvvvKPi4mIdfPDB8nq9sTEnnXSSPv/8c7366qt6/vnnNX/+fJ111lk5zQcAAAAAAHQuGEoILdnTEkAOcq7R/uabb+RwOLTDDjt0O9YwDJWVlamxsTGnd82aNUuzZs1Ke800Td1+++36zW9+oyOPPFKS9Pe//10jRozQM888o+OPP15ffvmlXn75Zb333nvaZZddJEl33nmnDj30UN1yyy2qra3NaV4AAAAAACBVKByIHdM9HEAucq60DIfDstlsKY130jFNUy0tLSouLs71dZ1avny51q5dqwMOOCB2rry8XNOmTYstR1+4cKEqKipigaUkHXDAAbJYLHrnnXc6fbbP51NTU1PSDwAAAAAA6FooTKUlgJ7JObQcPXq02tratH79+m7Hvvfee/L5fJo4cWKur+vU2rVrJUkjRoxIOj9ixIjYtbVr16qmpibpus1mU1VVVWxMOtdff73Ky8tjP2PHjs3z7AEAAAAAGHyC0UpLQ5LFyDl6ADCE5fw3x4wZMyRJDz30ULdjr776ahmGoQMPPDDX1/WLK6+8Uo2NjbGflStX9veUAAAAAAAoeO2VllZ1vzoTANLJObS88MILZRiGrrvuOs2ZMyftmHXr1umkk07SSy+9JIfDofPOOy/niXZm5MiRsXd1fHf7tZEjR6ZUhAaDQdXX18fGpON0OlVWVpb0AwAAAAAAuhYyQ5IkG1WWAHKU898e22yzja677jo1Nzfr4IMP1i677BJrtHPiiSdq+vTpGj9+vB5//HFJ0p/+9CeNGzcuP7NOMHHiRI0cOVJz586NnWtqatI777yjPfbYQ5K0xx57qKGhQR988EFszLx58xQOhzVt2rS8zwkAAAAAgKGMSksAPdWjFl6/+MUvVF1drcsuu0wffvhh7PwTTzwh0zQlSRUVFbr99tv1k5/8JOf3tLS0aOnSpbHPy5cv16JFi1RVVaVx48bpoosu0rXXXqvNNttMEydO1G9/+1vV1tbqhz/8oSRpq6220iGHHKIzzzxT99xzjwKBgM4//3wdf/zxdA4HAAAAAKCHTNPUnHlX6qnWb/SHA/+iYHtoSaUlgBwZZnu62AMtLS166qmn9NZbb2n16tUKhUIaOXKkpk+frh/96EcqLy/v0fNff/117bfffinnTznlFD388MMyTVO///3vdd9996mhoUF77bWX7r77bm2++eaxsfX19Tr//PP1n//8RxaLRcccc4zuuOMOlZSUZDyPpqYmlZeXq7GxkaXiAAAAAABICpthnfrssfqo8WtJ0iETDtHZ9fU6quldVVmceuPH7/fzDAEUkkzztbyElkMFoSUAAAAAAMnWblquA587Iunc4yU76viWjzTc6ta8k9/tp5kBKESZ5mvUaQMAAAAAgJytfP3qlHOfBpsksTwcQO5y/tujublZzz33nF577bVux86bN0/PPfecWlpacn0dAAAAAAAoQKuW/TflXFPYL0myUisFIEc5/+0xe/ZsHXXUUXrppZe6Hfvkk0/qqKOO0hNPPJHr6wAAAAAAQAFaaU/t8dtqBiRJNiotAeQo5789/v3vf0uSTjjhhG7HnnbaaTJNU0899VSurwMAAAAAAAVmSf1i/bUitflua7R7uIXQEkCOcv7bY8mSJbLb7dphhx26HbvzzjvLbrdr8eLFub4OAAAAAAAUmCveuDx+vHGTpnp9kqR1ZmR5eKnV2S/zAjDw5Rxarl27VmVlZTIMo/uXWCwqKyvT2rVrc30dAAAAAAAoIKZpak3r6tjnPT0e1YRCkqTvwpHwssZe2i9zAzDw5RxaFhUVqbGxUaHoX0hdCQaDampqksPhyPV1AAAAAACggNQ1fKPWUCScvG3dBk364QNymqYk6TszGlq6h/Xb/AAMbDmHlptttpmCwaDmzp3b7di5c+cqEAho8uTJub4OAAAAAAAUkJWfPylJGhMI6IA2jzRyO7nCYUlSMLooc3jp2P6aHoABLufQ8tBDD5Vpmrr88svV3Nzc6biWlhZdfvnlMgxDhx56aK6vAwAAAAAABWTT9+9LkqpDYWmfyyWbS65opWW7EZUULwHITc6h5fnnn6/Kykp99tln2nXXXfXvf/9bHo8ndt3j8ejpp5/WLrvsos8++0zl5eW68MIL8zJpAAAAAADQvzb5GyVJlcO3lvb/jWRzpoSWNRWT+mNqAAYBW643VlVV6bHHHtMPf/hDLVmyRMcee6ysVquGDYvsV1FXV6dQKCTTNOVyufTPf/5T1dXVeZs4AAAAAADoPw2BVskqVTjLIydsztielu1qikf0w8wADAY5V1pK0kEHHaS33npL06dPl2maCgaDWrt2rdauXatgMCjTNLXPPvto4cKFOuCAA/I1ZwAAAAAA0M/qQ5HVlpWuysgJm0vucIfQsqimr6cFYJDIudKy3Y477qg333xTS5cu1YIFC7R27VoZhqGRI0dqzz33pPkOAAAAAACD0BozIMlQZXuHcItNZdFGPO2K7cV9PzEAg0KPQ8t2U6ZM0ZQpU/L1OAAAAAAAUKC8/ja9aTclGdqlZufIScPQiFAoNubqDRv7Z3IABoUeLQ8HAAAAAABDT92H98tnscgVDmvbkbvEzo8IBmPHUwKB/pgagEGC0BIAAAAAAGSl8ePHJEnl4bAMV3nsfE0wXmnpHr9Pn88LwOCR0fLw/fffX5I0fvx4PfTQQ0nnsmEYhubOnZv1fQAAAAAAoHA0Vk2U2j5VuWlINkfsfIlpakevVw0WqyYce08/zhDAQJdRaPn6669LkrbccsuUc9kwDCPrewAAAAAAQGFpCjRLksrLxyWdN2q20d/WfK7w5ANkLR7eH1MDMEhkFFr+/ve/lyQNGzYs5RwAAAAAABj8vqr/SncvulsX7HiBNgRbJUnl9pLkQT99QcaCP8u6/XH9MEMAg4lhmqbZ35MYKJqamlReXq7GxkaVlZX193QAAAAAAOgzhz11qL5rWZl07pjhu+iqQx/qpxkBGIgyzddoxAMAAAAAALpmmimBpSTtWb19P0wGwFCQc2hpsVhks9m0dOnSfM4HAAAAAAAUmqBX1QmdwSXphMZmHTSGDuEAekfOoaXb7VZJSYmmTJmSz/kAAAAAAIBC423U6GAw6dT4YEBylPbThAAMdjmHlmPGjFEgEMjnXAAAAAAAQCHyNqnFkhwhjCkZI1VN6qcJARjscg4tDzvsMHm9Xr3xxhv5nA8AAAAAACg03kY1dQgtxx73mGS19dOEAAx2OYeWV155pYYPH65zzz1Xa9asyeecAAAAAABAIfE2qtliJJ2qLantp8kAGApy/ieRL7/8Un/4wx908cUXa+utt9aPf/xjTZ8+XTU1NbJarZ3et88+bNILAAAAAMBA0ta6Xr4OlZYum6ufZgNgKMg5tJwxY4YMI/6vLHfddZfuuuuuLu8xDEPBDhv3AgAAAACAwrapdW3seDuvT/ubBJYAelePNp8wTbNXxwMAAAAAgP4TCodktVi1oGGxJKkmGNSja9ZJ1VP6eWYABrucQ8twOJzPeQAAAAAAgALy7pp3df688/WDST/Qk3ULJEl17dvBWez9ODMAQ0HOjXgAAAAAAMDgddHrF8kT9OjJJU/GzoXbt4mz0DUcQO/K6W+Z9evX6/3331dTU5Oqqqq06667qrKyMt9zAwAAAAAA/SQQ8KScO6WxKXIweqc+ng2AoSar0LKxsVFnnXWWnnrqqaT9KS0Wi0499VTdcccdcrvdeZ8kAAAAAADoW+FQQLLEG/BeUN+gH29xvGR1SPtc3o8zAzAUZBxaBoNBHXjggfrggw9SGuqEQiE9+OCDWrlypV5++eW8TxIAAAAAAPStsJH8eWevT66J+0pb/aB/JgRgSMl4T8u//e1vev/992Wapvbee2/de++9euGFF3TXXXdp6tSpMk1Tr776qv7zn//05nwBAAAAAEBvC/oU6nCqNByWTJryAugbGVda/vOf/5RhGDrxxBP1yCOPJF0766yzNGvWLM2dO1f/+te/dPjhh+d9ogAAAAAAoI/4mmUayaWWZSOnSlNm9tOEAAw1GVdafvLJJ5Kka6+9NuWa1WrVNddcI9M0Y+MAAAAAAMAA5WtKOVX6k/9IjuJ+mAyAoSjj0LK+vl7FxcUaP3582uvbbbddbBwAAAAAABjAfC1JH20y5LbReBdA38k4tAwEAiopKen0enFxcWwcAAAAAAAYwHzNSR+LDKuMDsvFAaA3ZRxaAgAAAACAocHv2ZT02WoQHwDoWxk34pGkUCiklStXyjTNnMeMGzcuuxkCAAAAAIA+1dJWl/TZYWQVHwBAj2X1t05dXZ0mTJjQ6XXDMLocYxiGgsFgNq8EAAAAAAB9rMW7MXbsCJv6w+Sj+nE2AIairELLriosAQAAAADA4NDsbZAk1QSDmrtytbT/Pv07IQBDTsah5UMPPdSb8wAAAAAAAAWixdcgSSoNhyMnKtjqDUDfyji0POWUU3pzHgAAAAAAoEC0+JskSSXh6IrL0lH9OBsAQxHtvwAAAAAAQJI10UrL4aFQ5ITF2n+TATAkEVoCAAAAAIAk3wYilZbjAgFpzG79PBsAQ1FWjXgAAAAAAMDg912oVZI0vnpr6ZjH+nk2AIYiKi0BAAAAAECS9SGvJGnk5odJ7sp+ng2AoYjQEgAAAAAAxDWtUb2CkqTqMbv382QADFWElgAAAAAAIKZx/Weqt0Ya71RVTOjfyQAYsggtAQAAAABAzKWf3h07rnBV9N9EAAxphJYAAAAAABSANn9QL3+2Rh5/qN/mEDbDeqdpaeyz3WLvt7kAGNoILQEAAAAAKAA3vbxY5/zjQ1359Cf9NoevN30dO97fUtZv8wAAQksAAAAAAPqJaZry+EO6+IlFenjBCknSM4tWyxvon2rLt9e8LUna3ePR7cXb9cscAECSbPl4yHPPPadXXnlF3377rTwej+bOnRu71traqo8//liGYWiPPfbIx+sAAAAAABjwLv3nx3r7m43aeXylnvt4ddK1i59YpL+cvHOfz6mt4VsVh8Paq80rw0KdE4D+06PQcuXKlTr66KP14YcfSor8C5FhGEljHA6HTjjhBK1atUoLFizQtGnTevJKAAAAAAAGhac+XCVJ+r7Bk3Ltpc/Wat5X67T/liP6dE5nhkt1xrerFDQMqeG7Pn03ACTK+Z9NWltbddBBB+mDDz7Q6NGjdd5556m4uDhlnN1u1+mnny7TNPXvf/+7R5MFAAAAAGAwCIXNbse8+sW6PphJsvveWCa7JLdpSmW1ff5+AGiXc2h51113afHixdppp5305Zdf6o477lBJSUnasUceeaQk6a233sr1dQAAAAAADBrN3kC3Y/q6i7g/GNbNrbN0tO8qeTc/Qjrgqj59PwAkynl5+FNPPSXDMHTrrbemrbBMtO2228pqtWrJkiW5vg4AAAAAgAFvdYNHbyzZoEcWftvt2E1t3Qeb+XDXa0v1n49X69wZk2Wa0leOreQ84SKpw/ZvANCXcg4tFy9eLKvVqunTp3c71mq1qqKiQg0NDbm+DgAAAACAAW/Wn95UoyezMLKhzd/Ls5ECobBufmWxJOnCxxdJkkaWu1L6VQBAX8t5ebjP55Pb7ZbVas1ofFtbm1wuV66vAwAAAABgwHrx0zXa/5bXOw0sR1e4teKGw7T8+kN1wm7jJEkNGYabPVHfmhqMbj+6vNffCwDdyTm0HDFihFpaWjKqnvz888/l8Xg0duzYXF8HAAAAAMCA9bPZH+qbutZOrxc7IwVBhmHo9L0mSpI2pQkU86WuxacNzb6UzuV7Tq7W7w/fptfeCwCZynl5+F577aXHHntMTzzxhM4+++wux950000yDEP77bdfrq8DAAAAAGDQKnbG/+95RZFdktTkDSoUNmW15HepdjAU1rTr5qZ0MH/4p7tq382HszQcQEHIudLyZz/7mUzT1FVXXaXPPvss7Ri/368rr7xSjzzyiAzD0LnnnpvzRAEAAAAAGAyO3nF0yrmShNCy3G2PHWe6/2U2NrT4UgJLSZqxRQ2BJYCCkXOl5Z577qmf//znuvPOO7X77rvrkEMOUUtLiyTpV7/6lb799lvNmTNHdXV1kqTf/OY32nrrrfMzawAAAAAABqjJNSUp5xJDS7vVomKHVa3+kBo9AVUVO/L6/rrm1GXne282LK/vAICeyjm0lKTbb79dZWVluuGGG/T0009Liuy/ceONN0qSTNOUzWbTb3/7W/32t7/t+WwBAAAAABhgvIFQ0ufhJc6UMYnLwyXJHQ0tO96bD3UtvpRztx63Q97fAwA90aPQ0jAM/d///Z/OOOMMPfzww3rrrbe0evVqhUIhjRw5UtOnT9dpp52mSZMm5Wu+AAAAAAAMKO+v2BQ73mvKMB26/Sj94qlPksY4bMm7tzltkcY8vRFabmhODS2Hl6YGqQDQn3oUWrYbP368fv/73+fjUQAAAAAADCpzvlwnSTp0u5G6+6Sd047x+pPDSZc9EmJ6A+G8z2dDmkpLACg0OTfiAQAAAAAA3Wtfjr3z+KrYuZuO2V67TajS2ftOktVi6PCptUn3uOzRSstg31RaAkChyUulZTqffvqp5syZI4vFooMPPlhbbrllb70KAAAAAICCVd8aaXxTndBQ57hdx+q4XcdKki4+YPNYSNmu/bOvN5aHd6i0/MNR2+b9HQDQUzmHlvPmzdO1116r3XffXdddd13StVtvvVW/+MUvZJqmJMlisejWW2/Vz3/+857NFgAAAACAAaY9tOysC3jHwDJyrheXh0crLe88YceUCk8AKBQ5Lw9/8skn9cYbb2jChAlJ55csWaIrrrhC4XBYDodDbrdboVBIF198sT766KOezrdTEyZMkGEYKT/nnXeeJGnGjBkp184555xemw8AAAAAAFL3oWU6rg6NeNqLgvKhLhpa0nwHQCHLObRcsGCBJGnWrFlJ5++//36FQiHtu+++qqur06ZNm3TssccqHA7r7rvv7tlsu/Dee+9pzZo1sZ9XX31VkvSjH/0oNubMM89MGnPTTTf12nwAAAAAAAiHTW1qyyG0tMdDy3eX12vq1f/VUx+s6vF8QmFT3zd4JEmjyl09fh4A9JacQ8v169fLarVqzJgxSedffvllGYah3/3udyouLpbdbtf1118vSZo/f37PZtuF4cOHa+TIkbGf559/XpMnT9a+++4bG1NUVJQ0pqysrNfmAwAAAABAXatPgZApw8iustHZvjw8GNbPZn+oJm9Qlz75cY/ns7K+Tb5gWE6bRWMqi3r8PADoLTmHlvX19SorK5NhGLFzzc3N+vzzz1VcXJwUFk6ePFkul0urVvX8X4Uy4ff79Y9//EOnnXZa0vxmz56tYcOGadttt9WVV16ptra2Lp/j8/nU1NSU9AMAAAAAQCbuem2pdvvDXEnSsBKn7NbM/y94YqVlOI9Lw79e3yJJmlJTIqvF6GY0APSfnBvxuFwuNTY2yjTNWDC4YMECmaapadOmyWJJ/svY7XbL6/X2bLYZeuaZZ9TQ0KBTTz01du7EE0/U+PHjVVtbq08++URXXHGFFi9erKeffrrT51x//fW6+uqr+2DGAAAAAIDB5uZXFseO25vfZKp9T8sNzb7Ynpj5sKKuVZI0cVhx3p4JAL0h59ByypQpWrRokd544w3NmDFDkvT000/LMAzttddeSWP9fr8aGxs1bty4Hk02Uw888IBmzZql2tp4F7Szzjordrzddttp1KhRmjlzppYtW6bJkyenfc6VV16pSy65JPa5qalJY8eO7b2JAwAAAAAGpdEV7qzGt3cPn/3Od3mdx7f1kdByfDVLwwEUtpxDy8MOO0wfffSRTj/9dF133XVas2aNHn74YUnS0UcfnTT2o48+Ujgc7pPQ8ttvv9WcOXO6rKCUpGnTpkmSli5d2mlo6XQ65XTSTQ0AAAAA0DMPnLpLVuOLnTn/3/UufVcfacIzrorQEkBhy/lvwUsuuUR/+9vftHz5cp144omSJNM09f/+3//TdtttlzT22WefTVuB2Rseeugh1dTU6LDDDuty3KJFiyRJo0aN6vU5AQAAAACGlmAoLMOQTFN6+md7asuR2TWCLXZYe2Ve322MVFqOq2J5OIDClnNoWVFRoQULFuj3v/+9Fi5cqIqKCv3gBz/Q5ZdfnjTO7/frwQcflGma2m+//Xo84a6Ew2E99NBDOuWUU2Szxb/asmXL9Oijj+rQQw9VdXW1PvnkE1188cXaZ599tP322/fqnAAAAAAAQ0+jJ6D2/jnbjS7P+v7eqLR88v2VWrEx0pCW5eEACl2P/hYcPXq07r///i7HOBwOrV27tievydicOXP03Xff6bTTTkuZw5w5c3T77bertbVVY8eO1THHHKPf/OY3fTIvAAAAAMDQsqYx0oi23G3Pqmt4u1JX+v+7HgiFc3rehmafLv/XJ7HPI8pcWT8DAPpS72yS0U8OOuggme3/lJVg7NixeuONN/phRgAAAACAoWjhso2SpB3HVeR0f2eVlnUtPo0qz66pjyRtbI13L3fYLLJajJzmBQB9Ja+h5bfffqv169dLkmpqajR+/Ph8Ph4AAAAAgIIXDIV1y38XS5L2mjIsp2d0FlqurPfkFFrWt/hjx44cKjUBoK/1+G+qNWvW6IILLlBNTY0mTZqk3XffXbvvvrsmTZqkmpoaXXTRRVqzZk0+5goAAAAAQMF7dtFq+YJhSdLemw3P6RmlnYSW39W35fS8utZ4aGm3UmUJoPD1KLR86623tP322+uuu+5SXV2dTNNM+qmrq9Odd96pqVOnasGCBfmaMwAAAAAABWvxuubY8eYjSnJ6hsuevnv4mgZPTs/b2BJfHn7y7qyKBFD4cl4evn79eh1xxBHatGmTysrKdM455+jAAw/UmDFjJEmrVq3SnDlzdO+996qurk5HHHGEvvjiC9XU1ORt8gAAAAAAFJoNzZGA8MpZW8owcqtqHF7qTHveHwp3e+/6Zq+OuPMtrW3y6r8X76PNR5SqPlppWVXs0Pn7T8lpTgDQl3KutPzjH/+oTZs2acstt9Tnn3+uG264QTNnztQWW2yhLbbYQjNnztT111+vzz77TFtuuaU2bdqkW2+9NZ9zBwAAAACg4LSHlp0Fj5lw2a06YbexKefvm/+N/MGug8unP/xea5si3ctP/OvbkqRmbzDyebdxctrSV3ECQCHJObR84YUXZBiG/vrXv2r06NGdjqutrdVf//pXmaap559/PtfXAQAAAABQ8MJhU+9/Wy+pZ6GlJI2pLEo55wuGdd/8ZV3eV+62x47rog14mrwBSVKJK6/9eAGg1+QcWq5YsULFxcWaPn16t2OnT5+u4uJiffvtt7m+DgAAAACAgvf6kvXyBiKVkOlCx2x01uV7wbKNXd5n6bAi/f0V9Xr6w+8lSaWElgAGiB53D8+GaZp9+ToAAAAAAPrUNxtaJUnbjS7XxGHFPXqWwxb/v+zuhMY8gW72tfT4Q0mfj71nYey4pJOu5ABQaHIOLSdMmKDW1la9/fbb3Y5duHChWltbNWHChFxfBwAAAABAQfvwu0168dM1kqQ9J1f3+HmJoWWRIx5adrenpSfQ+fUyl73TawBQSHIOLWfNmiXTNHXWWWdpw4YNnY5bv369zjrrLBmGoUMPPTTX1wEAAAAAULD+93Wdjr57gT78rkGSNKrc1eNnJi4PdyVUWvpDXa9i9ARCnV5jT0sAA0XOf1tddtlleuCBB/T5559rq6220rnnnquZM2fGmvKsWrVKc+fO1b333quNGzeqoqJCl156ad4mDgAAAABAoZj71bqkz1NqSnv8zMRKy2JnPLT8ck2TGtsCKi9KXzXp6yK0DIXZtg3AwJBzaDlixAj9+9//1lFHHaX6+npdd911uu6661LGmaapiooKPfPMMxoxYkSPJgsAAAAAQCFa0+CVJM3adqRmbTdK06fkd3m425H8f99PvP9tvXDB3mnv66zS0mG1aNvR5T2eFwD0hR414tl33331ySef6Oyzz1ZlZaVM00z6qays1LnnnqtPP/1U++yzT77mDAAAAABAQVnTFAktf7jjaB0xtVaGYXRzR/eS9rRMWB4uSZ+vbur0vo6NeNq9/9sDaMQDYMDo8d9WY8aM0V/+8hf95S9/0fLly7V+/XpJUk1NjSZOnNjjCQIAAAAAUOjWNHgkSbXl7rw902lNvzy8O95oo55yt12NnkDsPE14AAwkef0nlokTJxJUAgCA/9/eXYdXXfd/HH+edXfDBozR3d1IqIiKnSg29m388NbbvEVvuwsFFSzsRqW7uzdGrjfWvXN+f5ztbIdtLFjv9bgurut8+3O2Mdhr78/nLSIi0qrkFhSRkJEHQIjXuTfgKXG26eFnU1JpGeDuaAkt3VVhKSLNzDlNDxcRERERERFp7Y6nZAPg7mSHj6tDnd3Xz83R8jrA3fEsZ1rLzi80X+NRes1HNw6ss3GJiDQEhZYiIiIiIiIitbQ/Np3fd8cC0N7XtU7WsizR3s+VBTcN4qXLejO4g0+1r0vKNFd9hvu5WfZ5OmtquIg0L9WqD7e1rf7aGWdjMBgoLCysk3uJiIiIiIiINKakzDymvrHasj2offWDxeoa2yUAgCV746p9TclU9Y7+rpZ9Xi4KLUWkealWaGkymep7HCIiIiIiIiLNytGkLKvtW0bVX4+H6v5YnltQRGq2eR3LEK/SpkCqtBSR5qZaoeXy5cvrexwiIiIiIiIiTdbprHyOJGUxoJ03n68/yvy1R5nUI8jqnLIhYWNJLK6ydLCzoZ1vaaWls33dzKAUEWko1Qotx4wZU9/jEBEREREREWmy7lq0jfVHkrltdDgfrjoCwPsroyzHuwV71PMIqldque34aQA6+rvRJcidhyd3IdDDqU7X2hQRaQjVCi1FREREREREWqvIhAzWH0kGsASWZ/rw+gH1OoYwH9eqTwK2HDWHliMjfAGYPS6i3sYkIlKfatQ9vLCwkPT0dNLT06t9Tcn5RUVFNR6ciIiIiIiISGPKLShi4qurznrOw5O7EOrjUq/j6B7iwZypXas8r2R6eFg9j0dEpL7VKLS86qqr8Pb2ZubMmdW+5uabb67xNSIiIiIiIiJNwbqopCrPaefbMAHh9L5tzno8O7+QP4u7jHu7OjTEkERE6k21Q8u9e/fy/fff4+HhwSeffFLtB3z00Ud4eHjw5Zdfcvjw4VoNUkRERERERKShmUwmbl6wpcJj4X6l07XbVXPq9rmysz37upRv/FP6M7ePi0JLEWneqh1aLlq0CIC77roLLy+vaj/A29ube+65B6PRyMKFC2s8QBEREREREZHGEJWYaXk9pUcQX902FGd7W4I9naymg7f3a5hKSzubs4eWKw8lWl77uCm0FJHmrdqh5erVqzEYDMyYMaPGD7n00ksBWLFiRY2vFREREREREWkMH685CsCICF/ev34AQ8N92fz4RP5+cAx5haV9G9yd7BtkPHa2Ff8In5VXCECHMtWf3qq0FJFmrtqh5aFDh7CxsaFfv341fkjv3r2xsbHhwIEDNb5WREREREREpKHtOZXGl5uOA3DLqHDLfjdHO9wc7bh/YmfsbAw8NKlzg42pokrLn3acoseTS/h8/VFCvJwt+/3cHBtsXCIi9cGuuiempqbi5eWFwXD2cvSK2NjY4OXlRVpaWo2vFREREREREWlIcWm5XPjWGgBcHGwZFeFX7pyh4b7seXoyTva2DTYu+woqLe/7agcAT/y0l5nD2wNw66gO2FYxlVxEpKmrdqWli4sLGRkZtX5QZmYmzs7OVZ8oIiIiIiIi0oj+3h9veX390HaVTstuyMASqDKILCgyAuDqWO36JBGRJqvaoWVAQAAFBQVERUXV+CFRUVHk5+cTEBBQ42tFREREREREGtLBuHQAZo/ryJzzuzXyaKpv0UbzdHYHu2r/qC8i0mRV+zvZ0KFDAfj+++9r/JDvvvsOgCFDhtT4WhEREREREZGGdDq7AABf16a9LmR6bkGF+x0qqQwVEWlOqv2d7MILL8RkMvHSSy8RGxtb7QfExMTw8ssvYzAYuPDCC2s1SBEREREREZGGkpqdD4C3a8N0Ba+tf32zs8Ip4xWtfSki0txU+zvZjBkz6NSpE8nJyUyePLla08QjIyOZMmUKSUlJREREcPnll5/TYEVERERERETq2+kscwWjl4tDI4/k7P7eF09Fy1xqeriItATV/k5mY2PDp59+ioODA3v37qV3797cfvvt/PHHH8TFxZGfn09+fj5xcXH88ccf3HbbbfTt25c9e/bg6OjIggULatV5XERERERERKSh7DmVxomUbAC8m3hoCVT4c7YqLUWkJahRS7GhQ4fyzTffcP3115Oens68efOYN29epeebTCbc3Nz4/PPPGTZs2DkPVkRERERERKS+rItK4pqPNlq2vZyb9vRwoMJKS3tbFQyJSPNX41+/TJs2jS1btnD55ZdjMBgwmUwV/jEYDFx++eVs3bqV6dOn18fYRUREREREROrMZ+uOWW37uDX9SsvcAmO5fY6aHi4iLUCNKi1LRERE8PXXX5OQkMDy5cvZu3cvycnJAPj6+tKjRw/GjRtHQEBAnQ5WREREREREpL7EZ+RaXjvZ2+DuWKsfmevVL3ePZNrba856jqaHi0hLcE7fgQMCArjyyivraiwiIiIiIiIijSYhPc/y2tXBrkn2ZegU6FblOQotRaQl0HcyERERERERafUS0nM5lZpj2W6KgSWAbUWLWJ5B3cNFpCXQdzIRERERERFp9eatibba7hHi0UgjOTvbCsLUS/u1sdpWIx4RaQma3gIdIiIiIiIiIg3sn33xAFzQO5hgDyeuHhLWyCOqmE0FlZZnTgdPzS5oqOGIiNQbVVqKiIiIiIhIq/bnnliOJGUBcMfojjx+YXc6+le9dmRj+f6u4YT7uVq27e2sg8yB7X0aekgiInVOlZYiIiIiIiLSqq2LSra87hjgepYzm4b+Yd5M6BbAkdXmKe32tjb8cd8o1hxO4qrBobg72TfyCEVEzp1CSxEREREREWnV4tJyAZg5vD0uDs3jx2Qne1vLawdbG7oFe9AtuGmuwykiUhvN47uxiIiIiIiISB37ctNxCouMHE/JBmB0Z79GHlH1OZbpEG6nxjsi0gIptBQREREREZFWJzU7n8d+2I3JVLqvU4B74w2ohspWWp7ZiEdEpCXQdzYRERERERFpdRIy8qwCyzGd/Qn1cWm8AdWQo0JLEWnh9J1NRERERESkloqMJtKyCxp7GFILSZl5ltchnk48cWH3RhxNzZWdHu6g0FJEWiB9ZxMREREREamlB7/ZwYDn/iYqMbOxhyI1lJKVD8DgDj6smzOBiAC3Rh5RzVhPD9ealiLS8ii0FBERERERqQWTycRPO2IoNJr4cuPxxh6O1FBypjm09HNzaOSR1I5TmUpLezv9aC8iLY++s4mIiIiIiFTAaDRhKrvo4RlOpeZYXtuq0q3ZiUvPBcDPzbGRR1I7WtNSRFo6fWcTERERERE5Q15hEVd9tIHhLywjNTu/wnO2HU+1vI5NzW2gkUldORiXAdDspoWXcHMsDS21pqWItET6ziYiIiIiInKGP/fEsSk6hdi0XH7dFcuh+AyW7o+3Omft4STL6593xvDML/saephSC2k5BZz36kqWHUgAoFuwRyOPqHYCPZwsr+1U6SsiLZBCSxERERERkTNsL1NFufloCpNeW8WsT7ew5WgKALkFRfy1L87qmk/WRpOTX9SQw5Ra2H78NIcTShsndQ1yb8TR1F6Ae2lomZlb2IgjERGpHwotRUREREREzrDzZKrl9Z5TaZbXyw+aq/MWbjjG6ewC3B3trK7LzFN41FTkFZYPkH/fHcvM+Zut9rk72TfUkOqUQ5nmO8lZFS9hICLSnCm0FBERERERKSMrr5DdJ0uDyqjELMvr+PQ8APbHmtdDnDWqQ7lrAVKy8ll5KBGjsfJGPlJ/FqyNpueTS/h03VGW7I0jM68Qk8nEXYu2WZ13UZ+QRhph3fByMQeuwzr6NvJIRETqnl3Vp4iIiIiIiLQeO0+mUmg04eViT3pOAWVzx+TMPCITMvhu20kA2vu68tVtQ7nqww0AjH15BT1CPEjIyCMxI4+3r+lHboGRt5Yd5sPrB9KlmU5Fbm6+23aKgiITT/68F4ALegXz7MU9rc4ZGeHHCzN6Ncbw6szyf43lxOlserf1auyhiIjUOVVaioiIiIiIlBFVvN7hgDBv+oV5Wx1LzMzj7i+2W7aDPZ0YGu5LuJ+rZd/emHQSM8wVmcsPJPLQ4p0cS87mpSUHGmD0AuWnhv+2O5b+z/5ttW9YR19cHJp3HY+3q4MCSxFpsZr3d2gREREREZE6VjIdPCLAjUKjia3HTluO7TmVbnVuG29nAFwdK/7RqqQiE6zXIJT6ZarGrPwQL6eqTxIRkUajfzVFREREREQAU3HStbm4Q3jXYHd83RwqPf/Jad1p6+0CgIuDbZX3D/Z0roNRSnWczi6o8pwRHf0aYCQiIlJbCi1FRERERKTVe2d5JN3/s4TlBxLYG5OOwQCjO/kzvmsAADaG8tfcNKK0CU9llZZl2dlWcBOpcyaTidRsczdtB1sbnO2tA2UPJzvum9CJAA9VWoqINGWaHi4iIiIiIq3eS0sOAnDTgs0A9Gnrha+bI75ujvxw13ACPJz4accpIhMy2RCVzC2jwmv8jLwCY52OWSqWml1AYXH3pF1PTWLniVSu/HADtjYG1j46niBPhZUiIs2BQksREREREZEzXNg72PK6pBnPXWMjKj3fy9m+ynvmFhRVeY6cu32x5nVHQ32ccbK3ZUi4L0dfuKCRRyUiIjWl6eEiIiIiItKqnRkmXtA7mJnD29foHpN6BFpeb5gzge/uHF7lc6T69sWkczorv8rz8guNzP1jP4C6aouINHMKLUVEREREpFU7kZINgJujHdufOI93rumPnW3NflSa3COIJy7szmc3DybI04kB7bxZ8+g4q3NyWlhomVtQRFxabr0/Z8+pNM5/czXT3l5T7tiCtdEMm7uURRuPAfDHnlhLh/cLewWXO19ERJoPhZYiIiIiItKqHYrPBKBjgBverpV3Cz8bg8HArJEdGN3Z37IvxNMZzzLTxnNb0JqWRUYTsz7dzNC5S9kbk1avz/prbxwAJ0/nlDv21C/7iE3L5dlf9wFwKD4DMDfgmdIzqF7HJSIi9UuhpYiIiIiItGrLDyYA0DnArU7va2Nj4Kvbhlqmmq88lMj//jxAUXGTmObsg1VRrI1MNr9eeaRen/X3/gTL64zcAsvrhRuOWV47FFfGHks2V80+PLkLBoO6tYuINGdqxCMiIiIiIq3O4i0nePS7XZTND8d2Cajz53QL9mBkhB8L1h0F4N0VUUQEuHFp/7Z1/qyG9L8/D1pe29nUTzj4+YZjzF8TzZGkLMu+2LRcsvOLuGn+ZkvDHQATcPn769h89DQA7Xxd6mVMIiLScFRpKSIiIiIirUpcWi4Pf2sdWJ7fK4gLetfPGohO9rZW26sOJdbLc+pbYZGR537dx5ebjtOrjadl/8nU8tO2z1VOfhH/+WmPVWAJcCo1hzeXHrYKLAEycgstgSVAO1/XOh+TiIg0LFVaioiIiIhIq7J4y4ly++4aG1Fvz3N2sA4tk6vRBbspWhuVzLw10eX2J2bk1fmz1kQmYapgFn1sqrnSsiphPqq0FBFp7hRaioiIiIhIqxKbXtrx+qI+Idw4vB09y1QO1jU/N+vmPiXdypub/WdUN5aoi9AyJ78IJ3sbTqTkcP/X29l2PNVy7LqhYRQZTXy56QQxqTnVmo5+ZlAsIiLNj0JLERERERFpVZIzzSHbs9N7cP2w9vX+PF83R6vtU6k5GI0mbOppLcj6YDKZKp3WnplXSE5+Ua2Dwt93x3LXom0M7+iLr5ujVWB5cd8Qnru4F++tiAIgOjmL6MTSKeMGA+UqMudM7VqrcYiISNPSIta0fOqppzAYDFZ/unYt/YcqNzeX2bNn4+vri5ubGzNmzCA+Pr4RRywiIiIiIo0lKdM8PdvvjDCxvrieEeYVFJnIyi9skGfXle+3nWJdVDL2thUHrd9uLT/lvro+W38UgHVRyfyyM8bqWGae+eMU6GH+XP22K9ZqPUtHO+sfaXf+ZxK3j+lY67GIiEjT0SJCS4AePXoQGxtr+bNmzRrLsQceeIBffvmFxYsXs3LlSmJiYrj00ksbcbQiIiIiItJYSiotz6yArC8GQ/mgLyuv6nUZm5J1UckAzBoZzoKbBpU7/vvuuFrd90RKNpuiUyo9PqazPwCujlVPEvz4xoF4utjXahwiItL0tJjp4XZ2dgQFBZXbn5aWxscff8wXX3zB+PHjAZg/fz7dunVjw4YNDB06tKGHKiIiIiIijSiluBGOj6tDFWfWnWHhvqw/kmzZzswrAJwa7Pm1kZCRy2XvrSc9twA7G3O9S7dgdwLcS8e9cNYQrvt4IztOpFJQZMTetvp1MbkFRbzy10GrLu4AVw4M5d6JnVgflcz0viEAuDpU/KPr/RM7M6VHEEeSMhnfNbCG71BERJqyFhNaHj58mJCQEJycnBg2bBhz584lLCyMrVu3UlBQwMSJEy3ndu3albCwMNavX3/W0DIvL4+8vNJFpdPTK154WkREREREmgeTyWTpPu1Wjeq9uvLBDQM4npzN7Z9v5VRqDpnNoNLy7WWRHD+jaVA7X1c6B7rRJdAdJwdbhnf0xdnelpyCIk6kZBPu71blfddFJnHPl9sr7KLePdiD/17SEztbGy4b0Nay39Wx/HqZC2cNYUSELwaDgfZ+rrV4hyIi0pS1iNByyJAhLFiwgC5duhAbG8vTTz/NqFGj2LNnD3FxcTg4OODl5WV1TWBgIHFxZ5/CMHfuXJ5++ul6HLmIiIiIiDSk/CIjhcWlfS4VBGH1xcPJnp5tPC3hW1Ze01/Tcs3hJKttN0c7Ovq7Ymdrwx/3jQLAxsYcGO6PTedoclaVoeXRpCyumbex3P5L+7Uh1MeFW0Z1wK6Cas0zp4eveGisgkoRkRauRYSWU6dOtbzu3bs3Q4YMoV27dnzzzTc4OzvX+r5z5szhwQcftGynp6cTGhp6TmMVEREREZHGk12mwtHFvuFCyxIl4VtmEw8tjUYTicVrf149OJR2vq5M6xOCu5N5zciync/Di0PLI4lZjK+icffWY6cr3H/j8Pb0CfWq9LqyoeXAdt4KLEVEWoEWEVqeycvLi86dOxMZGcl5551Hfn4+qampVtWW8fHxFa6BWZajoyOOjg2zOLeIiIiIiNSvvMIiTmebpyQ72tlUWNFX30qmpDe1SsukzDyOJGYxuIMPAIu3niAjtxB3RzueuqgHjnaVB7wBxZ29UyqY7l1Wdn4hsWk55fbPv2nQWQNLALcya1pWda6IiLQMLaZ7eFmZmZlERUURHBzMgAEDsLe3Z+nSpZbjBw8e5Pjx4wwbNqwRRykiIiIiIjV1NCmLlYcSMZlMVZ9cRlZeIWP+t4Lxr6wEqteNuj6UNJTJyiuk6MwONI1o+ttrueKD9aw+nEh2fiHP/bofgKsGh541sARwcTAfL1krtCLLDybQ48klvPzXIQCuGRJmOTa2uEP4WZ9RZip/oIcKS0REWoMWUWn50EMPMW3aNNq1a0dMTAxPPvkktra2XH311Xh6ejJr1iwefPBBfHx88PDw4J577mHYsGHqHC4iIiIi0ozEpuUw7e01ZOQW8vRFPbhxePtqX7smMom49FzLdknQ1tC8XMzTq5/4aS9vLYvk7wfH4Ols3yhjKetUqrkC8pedMWTlFZKRV0iwpxMPT65ivjfgUhzEZudXXj36w7ZTlM2Ze7fx5OYHR+PsYIfBYKj0uhJlu5L7uyu0FBFpDVpEaHny5EmuvvpqkpOT8ff3Z+TIkWzYsAF/f/Nv7F577TVsbGyYMWMGeXl5TJ48mXfffbeRRy0iIiIiIjWxeMtJMnLNwdiTP+9lfVQy718/oNLzC4uM7I/N4Mcdp/h4TbTVMVeHxvlRqH+YN19tPgFAQkYe246dZlzXgEYZS0Uy8wrZfSoNgLFd/HGwq3pyXkkAnHWWSsu9MWlW26M6+9PGq2b9B3q39WTXyTTGdm46Hy8REak/LSK0/Oqrr8563MnJiXfeeYd33nmngUYkIiIiIiK1YTSayCkoqnD69i87Y6y2/9wbx5tLD3PvhE5W+4uMJuatPsLcPw5U+pyG7BxeVv92XlbbJhp/inh+odHyOiO3kF0nzQFj92CPal1fEgD/tiuWfqFHuGVUuNXx1Ox8ohKzAJg1sgM923jUOLAEWHzHMPIKjXg4NX5lqoiI1L8WuaaliIiIiIg0Ty/9dZC+z/zFpugUq/3RSVkcTsjEwdaGx84vnbL80aoj5da3/H13bIWB5c0jOlheO1ajgrA+BHg4WW2n5zR+Q57UnNIGOuujklkbmQTAsI5+1bq+bAD83G/7iUrMtDq+40QqAB38XHniwu5c0q9trcbpaGerwFJEpBVpEZWWIiIiIiLSMry3IgqAKz5Yz/OX9MJggNf+PkRCRh4A3YLduW10Ry7u24bBzy8lI6+QF/88yP9NLQ0yS0KyErPHdWR0J3+GhPtiMMBPO2K4Z7x1dWZDcT+jgjQtp6BRxlHWH7vjLK8Li5sDDQv3JSLArVrXn7k+6LzV0cy9tJdl+8Rp83qZ1b2fiIgIqNJSRERERESaiMw866rDx37YzZzvd1sCS4BgT/O04gAPJ8Z2Ma9h/+3WE5hMJkwmE2/8c9hq/UpXB1sentyVIeG+ADx+QTc2/3sCIyKqV0VY185sOpPeyKHlqdQcnvx5b7n9Z065PxuXM9YH/XVXDIVFpVPO49PMDZCCzqgyFRERORuFliIiIiIi0iT8vju2ynP6hnlZXj9+QTcAkjLzeXdFFGsik3jtn0OW4/3CvFh8x3Cr6w0GQ7W6VTeU9NzGDS3XRyWX2xfu58qwjr7VvseZzXoycgt5Z3mUZbuka3uQp0JLERGpPoWWIiIiIiLS6AqLjLy59DAAVw4MJcDdETBXSm56bAKrHxnHw5O7cM2QMMs17X1dLa9fWnKQ6z/eZHXPxbcPo3tI9ZrJNKQf7hpOSW5asqbl3pg0bpq/qVyX7fq28UhpaPnL3SO5fXQ4C28ZUqN7eDmXX2eybHgcXxxaBqrSUkREakBrWoqIiIiISKNbdTiRk6dz8HV14KmLevCiQ29MJpNVVeTscRFW19jZ2vD5rMHlwsqyx5uifmHePHNRD574aa+l0vL6jzeRkpXP7lPpbHl8YoONZUO0ObRccNMgerX1pFdbzxrfI9zfjTeu6ouDrQ13LtpW7vjheHNjnva+Luc2WBERaVWa5r/iIiIiIiLSrGTkFnA6K7/qEyux91Q6AGO7BOBc3NilOtO4R3Xy51/ndbZs9wn1wtfVgW9uH1brsTQEj+LqxJLQMqX4Y5eUmVfpNXXtVGoOJ1JysLUxMLC9zznda3rfNkzqEWS1z2g0kZyZR1x6LgYDdA1uelWvIiLSdKnSUkREREREzonRaOLSd9eRnJXPPw+OwcfVocb3OJ1tDu/83Gt+7aAOpYHbT7NH1Pj6xuDhZA4t03IKynU7byh/7jF3De/VxhM3x3P/0dDWxsB/LuzOM7/uA8xrWR5JzALMU/nr4hkiItJ6qNJSREREREQoLDJa1h6sqR0nUzmckElKVr4lCKup1GxzpaG3S81Dy6Hhvnx0w0D+eXB0rZ7dGCyVljmFXPbeugZ/vslk4pPiLusX9w2ps/vePLID4f7mtUaPJGaxL9a8Rme3YPc6e4aIiLQOCi1FRERERFq5IqOJaW+vZcjzS1m44ViV5ydk5DLl9VW88McBCouMbDmaYjn22A+7qww/IxMyOJGSbbXvdHFo6VOL0BLgvO6BRAQ0n2DM09lcdZieW0Ch0dTgzz+anM2p1BwcbG24clBY1RfUQKcANwDeXRHJD9tjAOgapKnhIiJSMwotRURERERauTWRSeyPNa8p+fiPe0jMOPu6isv2J3AgLoP3V0bx0l8H2XnCuuP1Q4t3VnptanY+095ay/hXVlieCZBSPD3cy6V8J+qWqGR6eGrx+y7hZN8wP6IdjMsAzBWQJWuI1pWbR3QAYF1UsuVzHOSpzuEiIlIzCi1FRERERJqhbzafYN7qIxQWGas8NzOvkNlfbOO3XbHljhmNJm78xLr79j1flu8AXVZkQqbl9Qcrj/DbbvN9uwSaKx03HkmhoJJxbTt+mpyCIgqKTCw7kACYG8LsLF7X0bsW62E2RyXTw89kYzBgMtVf5aXJZGLL0RSOJZvXmvR3r/swcUi4L7eM7GC1z7eVfF5FRKTuaCVkEREREZFm5nB8Bo98twuAvEIjs8dFcCAuna82nWBSj0CGd/SzOv/j1dH8tiuW33bFsuFIO+4eH0GghxNfbDzO7lOp5e5/IC4Dk8lUaffuw2VCy7I+mzWYia+uJCO3kI9WH+GusRHlzlkbmWx5XTKNvOz08u6tpMO0k70tHfxciU4yh4cOdjZgguz8Io4mZ9PBz7XOn3kwLoMbPtlIfHppJa1/LRofVcejU7syr3jNTKBWzZlERKR1U6WliIiIiEgz89xv+y2v560+QlJmHv/5cS8L1h3lpvmbSTtjyvHR4qo6gM83HGPhhmMcSczksR928+WmE5ZjGx+bgK2NgdTsAhLOMkU8soLQsr2vC4EeTrT1dgHgn33x5c7ZeiyFz9YftWyXhJZpOebxTu0ZhGsr6jB9c5lqREc7G/qFeQGwKTq5kiuqlpSZx/iXVzD+5RWW5kYAX28+zuTXV1kFlgC+ro61ftbZ2Nva8NCkzvX+HBERablaz/8IRERERERagLi0XFYeSrRsn84u4JstJ9hUXK2YV2jkw9VRPDy5KwkZuby85CA/bD9ldY+jydm89s9hy7a7kx3f3TmcQA8n2vu6EJWYxYG4DAI9rKcOP/XzXtZHJXMqNQeABTcNws3Rjqz8IjoWd4x+7uKezHhvHduOp3Lnwq08dn430nIKeGjxTg4Ur6NYoiRAS2tl61mWCCmzzmOYjwvh/q5sjE4pFyzWxMqDiRwprt7ccCSZKT2DyS0o4vnfD1R4vq9b/VVADgn3tbz2qcfniIhIy6TQUkRERESkGdlYXIXXJ9SLMZ38eHNZJP/786DVOe8sj6JzoDvbj6fyzZaTADjY2vDcJT155Ntd/LIzxnLufy7szg3D2mFna56E1TXIg6jELO5etI3dT0+2nGcymViw7qhl283RjrFdAsqNL8LfzfL6jz1xxKTlWtarLHHX2I68uyLK0vAntbjS0tO5dQVb/u6l1Yff3Tmct5aZg+TkzDyOJWfRxsvZ8nmprgNxpc2Nth47Tf8wbwY/v9SyL9jTiUHtffi5+Gugb6jXObyDsxsQ5s3Vg0NxdbDDrRVV0IqISN3QvxwiIiIiIs3IiZRsADoFuNG3eDpxCX93R0sQeN9XO+gcWBogPjq1K50C3DhT2cASoGuQO7/tjiUjr5DYtByCPZ0ByMgrtLpuYrfygSWAp4s9Hk52pOeazz8zsAS4fGAo766IskxfTm2llZa92nhy+5hwwv1ccbK3xad4CvWn64/x6fpjPH5BN24ZFV6je5Zdb/Sj1dF8tLp0Xcm+oV78OHsEAGM6++Pj5kC/MO86eCcVs7ExMPfS3vV2fxERadm0pqWIiIiISDNxOD6Dl/86BEAbL2f6tPWyOj6lR5DV9qF4c4D11tX9mDWyA52Ku3uXeHhyl3KVfFcOCrW8PpJYuhZmUpk1Li/qE8LDU7pWOs6ebTwrPfb8Jb3wcTFXVGblF5FfaCQtxxxeelXSUbulMhgMzJnajSsHhQHgd8YU6rJrl1ZXTPHU/YrMvbSX5fWMAW0ZV0GlrIiISFOh0FJEREREpJm44oP1ltdtvJzxdXMkoHiK8fCOvtw3sRPndQ8EoKTxt4eTHaM6mbuJuznasf+ZKXQNcsfe1sDUntYhJ0CAhxMTuprDrPu/3sGmaPNamSUVnOF+rrx5dT/aeDlXOs4+Z5lyPDLCD3cnO2yKx5eanU9ipjm09G7lHaY9nKxD22BPp0rOrFxsmrm50W2jzRWagzv48Pu9ozj6wgV0ayWd2UVEpGXQ9HARERERkWbAaDRxukxX8M5B5qrJH2aPIDEjz7I24Uc3DATM08i3HT/N2M4BeJaZdu3sYMu3dw4nLaeg0uCxa7A7Sw8kkJiRx7O/7uOXe0YSXxxa+rlV3QW6o3/5aegAVwxsS5ivubu4l4sDKVn5nM4u4Hhxd/PQ4s7jrdWwjr70auPJ7lNpABQaTeQXGnGwq16tybHkLDKKp+XfO6ETD0/ugn0N18QUERFpKvQvmIiIiIhIM3CqzLTf/mFe9GlrnoLdxsu5wmYqoT4uTO/bxiqwLOHmaHfWSsnrh7a3vC4J0I4kmqeat/OtOlgM8yl/zu/3juJ/l/WxbJdMBd98NMUSxoZV494tmZO9Lb/cM5Jl/xoDmKtbb/t8S7Wvf/ZX83RyX1cH3BztFFiKiEizpn/FRERERETq2f7YdD5cVdotuzaik8zViL6uDiy6ZSiGkvnf9SDI04m/HxgNgGNxld+h+AwAugS5V3pdiRCv0mnN1wwJY/Edw+geYj01uUfxupeP/7gHKA3axPzxL7HiYCImk6nKawqLjKw4mADAI1O61NvYREREGor+VyAiIiIiUo82H03hqg83UGQ0EZmQaVVtWBPHiqdQ9wvzxtnBti6HWKGS4Cyv0Mgb/xxm89HTAHSvxrqIbbycuX5oO2xtDDx1UY8Kz7l9dDi/7IyxbFdUEdpauTjY4WRvQ26BEYD03EI8q2hSlJlXSKHRHG5e2r9tvY9RRESkvqnSUkRERESkDq06lMiuk6kAmEwmHv1uF0XFYdI3W06ycMMxkjNrXnF54rR5enh1pmfXBTdHO2yLu+W89s8hEjPycHe0Y2B7nyqvNRgMPHtxz0oDSzCHn75lGu8429d/ENuc/HrPKMvr+PTcKs/Pyi8CwMHORtPCRUSkRdC/ZiIiIiIideD/vttFl8f/4IZPNnHR22s5HJ/B5qOnOZJorpAsCQAf/3EPk15bRWZeYZX3XBeZxLID8UBp9+6SbuH1zWAwWMZcooO/a7WbwlTFxsbAvBsHcl73QPzcHHju4p51ct+WIiLAjS6B5qn41Qoti7+eNMVeRERaCv2LJiIiIiJyjnafTOOrzSes9p332irL66k9g7hvYiemvL4agOSsfHo+uYT3rxvAlJ5BFd5zw5Fkrpm3EYBPbx5sCS39Gyi0BOCMpRR9ylRG1oV+Yd6WbudSXoCHIwfjM4hPr7oytyQEd2mApQNEREQagiotRURERETO0Sdro896/OrBYXQNKr8W5B0Lt7KnuDv3mZbuj7d63Rih5ZlrZ9Z1aClnF+hhXlc0Pj2X/EIjS/bGEVOmi3xZB2LNjZJUaSkiIi2F/kUTERERETkHH606wg/bT1V6fP7MQYzu7A/A7HEdeWd5lNXxv/bG0bO4k3aJwiIjf+8rDS0/W3/M8rohQ0tXB1vScgos274KLRtUoIf5c/3SkoO8tOQgAMPCffnytqGWc9ZHJXMoPoMnf94LgKtCSxERaSH0L5qIiIiItFjHkrO498vtjOnsz13jInAq0+xl98k0XBxtcXO0s1S01VR6bgH//X1/uf2D2/uw6WgKVw0KZVzXAMv+hyd35eHJXYlMyOSjVUf4essJ9sSkW44bjSa+23aSF/44QHJWfoXPDPVumEY8AB0D3IhJK11P0ce1AaemS4Vfl/tiS79edp9M4+qPNlgdzyssqvdxiYiINASFliIiIiLSIplMJj5ff4ydJ9PYedI8BfuOsR1xtrdly7HTXP7+egDsbAx8edtQBlWjK/aZUjIrDha/vn0oe2PSiQhwq/B4RIAbVwxqaw4tT6URnZRFfHouDy3eycnTpdN/w/1dOZmSQ36REYBnp/do0Eq6/17ci/PfXG1ZL7FPqGcVV0hdCnAvH1p6OJd+/v+35EC543tOpZfbJyIi0hwptBQRERGRFumZX/cxf+1Ry/abyyJ5c1lkufMKjSb+2B1Xo9Ayt6CIN5cexlCmufbXtw3llb8OccfYcAwGQ7kp32fqFuyBjQESMvIY9/KKcsc/vnEggzv4kJCRR25BEV0C3bGzbdgl6cN8Xdjxn/O44ZNNuDraMSzct0Gf39qVTA8vK6/AyBv/HOa9lZHkFhjLHb95RIeGGJqIiEi9U2gpIiIiIi1OUmaeVWBZleSsqrszl/WvxTv5bVesZbtHiAdDwn355o5h1b6Hi4MdEQFuHIrPLHds+UNj6eDnCoC7k32NxlbX7Gxt+OLWoVWfKHUuyLN8pWVCRh6v/XOowvPHdPbnwUmd63tYIiIiDULdw0VERESkxYlKKA0CHyoT4gxq781to8MJ8XRiQtcAnr+kF2AOOasjLbuA2z7bYhVYAni71K5BzZSewZbXoT7O/DR7BD/NHmEJLKV183Oreg3R8V0DcHe0w9nelv9e0lPdw0VEpMXQv2giIiIi0uKcKF4XckSEL1N7BfPyX+bKtP9d1ocOfq48dn43AFYdSgQguZK1KcsymUw88dMe/irT1buEp0vtqiFn9G/Dm0sPA/DW1f3pE+pVq/tIy2RfjeUAwnxc+GTmoAYYjYiISMNSaCkiIiIiLc6JlGwA2nq5EObjQri/Kx5O9rT3te687etmrpCsTqXlW8si+XlnjGW7rbezpWlOW2/nWo2zna8r90/sREJGHr2rWANTpCJXDAxt7CGIiIjUC4WWIiIiItKi/LIzhjeKqxfD/V2xt7Xhr/tHY2tjwFC2cw4Q5GFeMzApM5/cgiKc7G0rvGduQRHzVh8B4LmLe3LVoFByCoqY+OpKkjPzuax/21qP9/6JWoNQau7zWYMJ83Ghna+WEhARkZZJoaWIiIiItBgnUrJ54Osdlu2S6daVdd32cS1di/Lid9YS6uNCbkERbb2dGdclgLFdAnCws2FdVBLpuYUEeThxzeAwbGwMuNva8OPsEaRmF9Ap0L0+35a0YqE+zpxIySm3f3AHHxztKg7ZRUREWgI14hERERGRZmVdZBJ7TqWV25+UmcfPO2MoNJoAcxOTPm29znqvspWXB+Iy+HtfPKsPJ/HlphPc9vlWXvnrILFpOdz35Q4ARkT4YWNTek2wpzPdgj3O/U2JVOKD6wbSOdCND64fYNl3Ye9gBZYiItLiqdJSRERERJq8wiIjj3y7iyV748jKL8LRzoZ3r+3P+K4BGAwGEjJymfzaKk5nFwBw3dAw/m9qN5wdqg52Hp7chZeWHKzw2AerjvDBKvO0cD83B64f1q7u3pRINXQP8eCvB8ZY7XN30o9xIiLS8qnSUkRERESavL/3xfP99lNk5RcBkFdoZNanW3hrWSRGo4nz31hjCSwBBrX3wc2xesHO7HERvHl1P8v2/RM7VXjeoluG0lfdvaUJqO7XtoiISHOmf+1EREREpMn6ZWcMz/22j9NZpYHkLSM7cCAugzWRSbz69yFe/fuQ5VjnQDdm9G/LBb2Ca/SccV38La+n9gxmQtdA3l8VxW+7YgEY3tGXLkFat1KahrbeLo09BBERkXpnMJlMpsYeRHORnp6Op6cnaWlpeHho7SIRERGRulJQZGRvTDpO9jZ09HejoMjI5e+vZ29MutV5T03rzswRHSgymhjy/D8kZeZbHY/879RKm+5U5ZvNJ0jIyOXu8daVljtPpNLO1wUvF4dKrhRpGIu3nGDV4SRevry31rQUEZFmq7r5mkLLGlBoKSIiIlI/3l8ZxQt/HDjrOWE+Lnxx6xBLlVlyZh6P/bCbJXvj8XS256fZI2jv59oQwxURERGRWqpuvqbp4SIiIiLSqIqMJr7YeLzS4+19XXj7mv70bONptd/XzZEPrh8IgNFosurqLSIiIiLNm0JLEREREWkUBUVG7vliO3/ujbPsu310ODY2BlKzCxjYzpvpfUOqNd1bgaWIiIhIy6LQUkREREQa3IG4dO7+YjuRCZmWfSGeTjxwXmec7LVWn4iIiEhrp9BSRERERBqUyWTi9s+3ciw5G4DuwR7cPT6CcV0CFFiKiIiICKDQUkREpEJrI5PYfvw0t43uiINd7ToRl8jILSAyIZN+Yd6VnhOdlEVbb2fsa9n1WKQ5WX8k2RJYfnD9ACZ1D8Rg0PRuERERESmln4xEREQqcMfCrbz81yFe/uvgOd/r0e92ccm76/hjd2yFx7/ZcoJxL6+g07//4LddFZ9TlQNx6Vz23jo2Hkk+l6GK1Lufdpzimo82AnB+ryAm9whSYCkiIiIi5Si0FBEROUNuQREZuYUAfLjqCFl5hbW+l8lk4vfd5iYjr/1zqNzxw/EZPPLtLsv27C+28d6KKAqKjDV6zn9+2suWY6e58sMNtR6rSH07npzNg9/stGzfNrpjI45GRERERJoyhZYiIiJnOJqcZbXd48klrI1MqtW9/thT2hU5KjGLEynZlu0NR5I577VV5a558c8D3PfVdlKy8sktKKremJNKx3wuIatIfTEaTXy85ghFRhODO/iw/Ynz6Bvq1djDEhEREZEmSqGliIhIGQnpuUx5fXW5/bd8uoW4tFwAIhMyuPTdtSzdH3/WexUZTTz9y16r7VH/W873206SnJnHVWepivx9dxz9n/2b0f9bzs4TqfyzL54/dsfy+YZjGI0mq3MPxKWTkJFn2U7KzDvzdiKN7qFvd/Lp+mMA3DEmHG9Xh0YekYiIiIg0ZWrEIyIiUsxkMvHYD3ss2w62NuQXT9POKShi6Nyl/HrPSF788wDbjqcy69Mt3DSiPY9f0J2M3AJu/WwLPq4OONrZYmdr4Pttpyz38nax53R2AYDV9FiAH+4aTjtfV4wmE35ujry19DCv/G2eSp6Qkcf0d9ZanX/qdA4TuwXQq60njna2/LQjxup4YkYe7Xxd6+4DI1IH1keZ11sNcHdkbOeARh6NiIiIiDR1Ci1FRESK/bIrln+Kqyc/uH4Ak3sEkZyZx7srovh4TTQAby07zKboFMs189ceZf7ao2e979BwH2LTci2hZVkjI/zKdRW/Y2xH9sak8+feuHLnA7y/Mor3V0YR7u/KU9N68N6KKKvj8emqtJSmJ7N42YIvbh2CjY0a74iIiIjI2Wl6uIiISLEVBxMAuH1MOJN7BAHg6+bIzOHtLecs2RtPXmHNmuS8fmU//N0cKzw2sL13uX32tja8f/0Ajjx/Ph/fOJCnL+rBBb2CGRnhZ3XekcQsbvhkU/E1BsZ28Qfg/q+3V3stTJGGUFhktDS38nbRtHARERERqZpCSxERkWJbjp4GYHhH63Aw1MeFXU9Nsto3qpMfozv7l7vHpO6BLLl/NB/fOBCAC3oFE+TpxDPTexLs6YSnsz0Al/Zrw8c3DuSe8Z0qHY+NjYEJ3QK5cXh73rm2PwtvGcJ1Q8MqPPfOsRFcNSgUgIIiE1PfWE12vhrySNOQnlv6tVjyd0BERERE5Gw0PVxERARzA57jKdnYGKB/mFe54x5O1kHLbaPDcbSzZdWhRMu+xy/oxi2jwgHoEuTOH/eNoo23MwDdQzxYP2cCAHmFRTja2dZqnA+e14VuwR5M6BrI0LlLLftnjeyAp7M994yP4K1lkUQnZXH751v57ObBGAwNMxX3yZ/2sO14Ku9e259QH5cGeaY0fYfiM/h68wkA3B3tsLPV78xFREREpGr6X6OIiAiw5Zi5yrJLkAfuThVXgk3rEwLAxX1DGNXJn0HtvXntyj7cMKwdKx8eawksS3QL9igXdgK1DiwBfFwduHZIO4I8naz2l1SvXTEwFGd78/1XH05ixcHEcveoD9uPn+bT9cfYfSqNUf9bzqH4jAZ5rjRtuQVFXP7+esuasLa2WstSRERERKpHlZYiItLq/bknjrsWbQNgUAVrTJaYe2kvLu4bwrgu5s7HBoOBS/q15ZJ+bRtknNUR6uPC/men8J+f9vDZ+mMsP5iA0WTidHYBlw2o+3GaTCaiEjO55N11VvtnL9rG3w+OASA2LQcvZwecHWof1krzsfxgAos2HCMuPZc9p9It+20MMOKMdVlFRERERCqj0FJERJqVn3fGcO+X2wn2dOKjGwbSs41nre+1aOMx/v3DHqt9g9r7VHq+m6MdE7oF1vp5de2FS3vxf9/v5sUZvcod6xfmxWfrj7E3Jp3P1h8DzF3M23rX7bTt2z/fyl/74i3b3YM92BebzuGETLLzC1l5MJE7iwPhW0Z2YEwXfx79dheDO/gw99LeCjIbycnT2aTnFNI9xKNO7/veiihe/PNAuf03DmvHg5O64Oao/3qKiIiISPXof44iItJs5BUWce+X2wGITcvl992x5xRanhlY9mrjyaQeTSeUrMqVg0IZ08WfIA+ncse6BJrDqK3F094BdpxIZc+pdCZ1D8TG5tyn6eYWFFkFli4Otnx353CGzl1KWk4Bx5Kzee63/Zbj89ZEM694mvCPO2LwdXPkiQu7n/M4pGobjiRz1Ycb6N3WkzZezvyxJw4HWxvWPDqOgAq+fqrjVGoOe0+lkZKVT8cAN9r5uvDa34csx53tbXl0Shc6B7rTv503TvYKqEVERESk+hRaiohIs/HByiNW2/NWR3Pt0Ha08XKu8b3yC41W2+v+bzw+rg7ntN5kQzMYDAR7VvzeO/i5ltt39xfmwPex87ty2+iO5Y4bjSZe/+cQ20+k8tJlfcqtm3mm4ynZVtvvXzcAZwdb2vm6sOtkGou3nORUak6l13+8Jpo7x3bEz83xrM+RqhUUGTFAhU1uohIzuW7eRgB2nUxj18k0APKLjGw/kcrkHkE1ft43W07w+A97yC8yljvWp60nP84egclEnYTjIiIiItI6qRGPiIg0C/NWH+HVMlVcYA5dLnhzNXtj0mp8vxOnSwO3X+8ZSYiXc4uqBDvbtOt3lkdhNJrK7f9rXxxvLotk9eEkhs5dyvUfb+TDVVEUVXAuwJHELKvtEC9zyDm+q3nNz0/Wmqsqw/1c2fv0ZObdMLDcPT5dd7Ra70cql51fyOj/LefCt9ZwOD6DqMRMq+OP/7CHwuLP4SX92tA1yN1ybNvx09REQZGR6+Zt5JFvd1UYWALcPb4TBoNBgaWIiIiInBNVWoqISJO35nCS1TTjP+8fxZTXVwOQml3ABW+u4Ze7R9KrrXmqeFJmHg8v3kkbb2eevqgnthWEJydPmysAOwe6ndMU86aso78rUWcEiwBpOQXsjUmnY4ArmXmFBLg7YTKZeGNppNV5qw8nsfpwEi4Odlw3tJ3VsSKjiYcX77TaF1Rc9Xn3uAirKsu2Pi64OtoxoVsAQ8N92HAkxXLNjhOpdfFWW7WDcRnEpuUSm5bLea+tAmBcF3+m9AwiIsCd9UeSAfhx9gj6hnoB8MP2kzzw9U6+2HCcab1Dqv134LL317Oz+HN21aBQrhochoOtDeuiktgYncL5vYI4r3vzWWJBRERERJouhZYiItLkvb38sOX161f2pWuQB69c3ocX/zxAQkYeAPd/vZ0FNw3mvNdWkltQWgE2rksA47sGcDq7AG8XewwGAz9uP8X9X+8AaNFTk5+d3pN3VkSyNjLZsm90Z39WHUrkr31xfLngBEmZecwc3p52vi7sj02v8D5rDidZQsvjydkEeDiyLiqJjLxCANp4OXNp/zaWJit2tjaE+bhYQssexc1eDAYDC24aTExqDgkZeVz14Qb2xqSTnV+Ii0Pj/5ckLbuApKw8wv1cMRiaT5XgmdP0AZYfTGT5wUTLdpdAd0tgCTCtdwjvrzjCwfgMZn+xjRUPja3yPUcnZVkCy95tPXlhRm/Lse4hHtwyKvzc3oiIiIiISBmN/xOCiIjIWcSl5bIx2lyZV7ZSbMaAtkzqEUivp/4CICoxiznf77YKLAF+2x3LD9tP8euuWB6d0pVbR3Xg4W9LKwQd7FruSinDI/wYHuHHydPZvL8yitnjIli04TirDiXy1rLSqsoFZaZoj+8awJSeQTzy7S7a+7pwNDmbHSdSOZacxSt/HeLnnTFWz/Bzc2TNo+PKBV4923hYKvxuLRNmOdnbEu7vRrCnM/7ujiRm5HHxO2tZcv/oRgkKtx8/TXJmPj3beHLhW6tJysznvWv7M7VXcIOPpbaOJZcPLcvqEujOpzcPttpnZ2vDe9f1Z/wrKzmWnM3byyLpHuLBoA4+eDjZ883mEzzy3S4AhnTw4b+X9OKf/aVNl14sE1iKiIiIiNQHhZYiItKk/borBpMJBrbztqoUA3B3sueNq/py31c7AFgTmVTu+o1HUiwVfy/+eYB2vi4UFJWu0ZidV1RvY28q2nq78NzFvQDwdz97ZWmPEA+uGBjKFQNDScsuoM8zfxGXnsuYl1ZUeP7/LutVYdh4/8TO2BgMXDagLT6uDuWOOzvYcsXAtryzPIpD8ZlsjE5haLhvzd/cOdhxIpVL3l1Xbv/SAwlNKrQ0mUxnDXRLQst/ndeZu8ZFsPFIMpGJmXy46ggzh7dn5vD2FTboCfd3o0eIB3tj0nmleL3Ynm08ePqinpbAEmBjdAoTX11p2f7fjN50C/aoq7cnIiIirURRUREFBQWNPQxpAPb29tjannu/AIWWIiLS5Gw7fpqrP9yAk70taTnm/9hM7xtS4bnT+7ahoMjEQ2XWV/zl7pGE+7vS/9m/y3WvvmvRNqvtrPzCOh590+ZdQYBY1vCOfpbXni72Zz332iFhjOsSUOExV0c75pzf7azXT+sTwjvLowBYF5mEva2BpMx8Brbzxreep+2vj0rm6o82VHhs27GaNaepD5l5hfy+O5ZDcRl8tv4Yni72JGbk8f51/ZnS0xyomkwm8gqNHE8xr1vazs8VWxuDpcL2hmHtq3zO+9cNYNT/llu295xKZ8Z7pUHuBb2D+W1XrGW7jZczF/drU0fvUkRERFoDk8lEXFwcqampjT0UaUBeXl4EBQWd02wqhZYiItKk5BUWcdtnW8krNJJXaJ7q7elsz7Q+FYeWABO6WgdnnYPccLSzZXrfEL7ZcvKsz7uxGsFOS+J9liDyzrEdGdbRutpxQtcAlh5IAOCWkR34eWcMT1/Ug0BPJ/qHeZ/TWLoGeTBrZAc+XhPNm8siebN4ynrfUC9+nD3inO5dlZ92nKr02JGkLJIy8xptvVOj0cTNCzazKbq0YVFi8dqtdyzcxvyZg+jo78atn23hSFKmpXK4nY9LjZ8V6uPCxG4B/LM/odyxj24YyHndAxnS4Sj/+WkvAHPO79qil1QQERGRulcSWAYEBODi4tKs1g6XmjOZTGRnZ5OQYP7/ZXBw7WcwKbQUEZEmI7/QyIVvriEp0xzQhHg6MTTcl2uHhuHlUnmF4JnVg4525qkIvdt6WULLrkHuHEnMIr/IHISufHgsyVn59G3rVQ/vpOnyruTj+NcDo+kc6F5u/4uX9SYyIdMydfvxC7vX6XjGdPbn4zXRVvt2nEglIT2XAA+nOn1WbkERe2PSWbTxGN9vM4eWM4e3p3uIB99vO8k1Q9rx1tLDHE7IZOBz/7DxsQkE1vEYqpKVV8jygwlWgaW/uyNXDgzl7eXmUPemBZsrvLa9n2utnvnqlX35fP0x3lh6mPziXxQMau9t6QJ+w7D2TOsdQlRiJgPb+9TqGSIiItI6FRUVWQJLX9+GXQpIGo+zszMACQkJBAQE1HqquEJLERFpEkwmE0/+vJfDCZkAXDkwlBcvq36zj5cv78NDi3dyw7B2ln1dgkpDuEv7t+HvffFsPmqe+tvO15V2vrULeZqzMwPe16/si6eLfYWBJZgb7dRnxWHPNp4V7n/ipz18cP3AOnvOnlNpXPruOktoXeKe8RH4ujlyxcBQwPx1WLJG6p0Lt/LFrUNxsj/39XiqI6+wiNH/W05yVj4AF/UJYcaAtgxq742Lgx13j4/gqZ/38tXmE+Wu7eDniqfz2afzV8bDyZ7Z4yKY1juE0S+Zp4qH+Vj/3fB2dWCgqwJLERERqZmSNSxdXGo+I0Sat5LPeUFBgUJLERFp3n7ccYovNx0H4LqhYTw7vWeNrr9sQFu6BrnT0d/Nsm9AmDc3DmtHWk4BVw0OY2rPYO5ctJWpPZtOk5WG5udmHVpe2Du4wiYtDcXH1YEbhrUjPj2X/83ow79/3M2vu2JZsjeetJyCWgdxZ/p03dFygWWnALdya2dO79sGB1sb7vpiG9uOpzL39/08XcOvxdp6aPEuS2AJcPuYcHqElIa6Tva2zL20FyYTbIhOZmK3QEuVar8zmlTVRpivCxO6BrApOoV7J0Sc8/1ERERESmhKeOtTF5/zFrEo0dy5cxk0aBDu7u4EBARw8cUXc/DgQatzxo4di8FgsPpzxx13NNKIRURaniV745j21hp2nUwtdywqMZPopKyzXr+4eBp3e18X7pvQuVb/yPVs44mzQ+lv8WxsDDw9vSevX9UPDyd7Qn1c+PWeUcwe13oDGUc7W2zKfGgbM7As8cz0nnxw/UA8Xez5b3GXczBPEz8Xaw4n8cpfB8ktKLKsy/n+dQPY8/Rk7p/YibmX9qrwuqm9gvngugEAlmnk9S05M4/fdsVYtude2ssqsCxhMBh48bLerHx4HA+c19myv20t1rOsyHvXDWDtnPGtsgpZRERERJqWFlFpuXLlSmbPns2gQYMoLCzkscceY9KkSezbtw9X19L/dN96660888wzlm2VJ4uInLtD8Rnc+tkWjiVnA/DJmmhemNGb77ad5GBcBqezC/hlZwwuDrb89cBo2nqX/9674Ugy66KSAZh340D83RunAUprcdMIc/ObG8tMpW8qPF3suaRfG37Yfoqtx04zprM/YJ62vfNkGl2D3Ks1XbvIaOK6jzcC8FZxgx9HOxvGdfXH0c6W+yd2PtvlDO5gngqdkVdIXmGRZZ3U+rL+SDJGcz+dStcXPZObox1dAt05GJ/BBb3qpnrYwc5GjXZEREREpEloEaHln3/+abW9YMECAgIC2Lp1K6NHj7bsd3FxISgoqKGHJ01UanY+Kw4mEu7vSvdgjyZRbSTSnCRl5vH8b/v5frt1JVpmXhF3LtzK8oOJVvuz84sY+eJyRnXy4+2r+zP7i22cOJ3NM9N7svWouenIed0DiQioOqyRc/PQpC5M6RnEgHPs/l1f+rfz5oftp9h+/DSFRUbsbG34c08cdy7axvCOvnxx69Aq7/HKXwfL7bttdHi1w0cPJ3tsbQwUGU2cziogyLPi6xIz8vhpxymGhvtWuj7n2RQWGcktNFq6g1/QO7hagWWJL24dQkpWPp1qcI2IiIiInF1Vs76efPJJnnrqqYYZTCvWIkLLM6WlpQHg42O9YPyiRYtYuHAhQUFBTJs2jSeeeOKs1ZZ5eXnk5eVZttPT0+tnwNLgcguKmP7OWktl2EV9Qnjz6n6NPCqRpsdkMrExOoW+oV7lqtte/fuQVWBpb2ugoMjEP/vjz3rP1YeT6PPMX5btR77dSUSAeR3KkRF+dTh6qYyzgy2DmnAX6JKO7qsPJxHx7z8ACPUxdyBcF5XMD9tPckm/tpVef/J0Nu+uiLLaN6qTHw9UUV1Zlo2NAW8Xe5Iy80nJyifIs3wXcZPJxOxF29h0NAV7WwNf3TaMX3bGsPtUGi/O6G35uq7M2sgkZn26mfxCo6XK0te14u7ulfF1cyy3LqeIiIiInJvY2FjL66+//pr//Oc/VssQurmV/j/PZDJRVFSEnV2LjNgaVYsrLTMajdx///2MGDGCnj1LF86/5pprWLhwIcuXL2fOnDl8/vnnXHfddWe919y5c/H09LT8CQ0Nre/hSwP5eUeMJbAE+HlnDDGpOY04IpGmaeGGY1z14QZmvLeOuLRcy/60nAJ+LA4srx4cytr/G893dw63utbX1YENcyaw8z+TePyCbpU+Iz49j7WR5qnhvdrWvFJNWp6wCtZnPJFS+j169aGkcseX7I3jj93m/1yWrJ/q7mhH9NzzOfDsFD6fNQQbm5qtk+pTHCCmlGmOU9b+2Aw2FVcJFxSZmPHeOhasO8rWY6d59Ltd5BYUVXrv48nZXDtvI7kFpYFl2WeKiIiItFQmk4ns/MJG+WMymaoeIBAUFGT54+npicFgsGwfOHAAd3d3/vjjDwYMGICjoyNr1qxh5syZXHzxxVb3uf/++xk7dqxl22g0MnfuXDp06ICzszN9+vTh22+/rcOPbsvS4mLg2bNns2fPHtasWWO1/7bbbrO87tWrF8HBwUyYMIGoqCg6duxY4b3mzJnDgw8+aNlOT09XcNkMJaTnUmA04evqwK+7Yvlpxyl2Fjd3+L+pXflx+ykOxGUw/IVlfHfncAa0a5rTJUUaQn6hkYzcAnzdHPljdyxP/LQXgL0x6cxfG82c87uRmVfIDZ9sIju/iI7+rjx/SS8MBgOB7o6E+7lypDgw6hfmZalOKzvd9ZaRHdh9Ko2Tp3O4oHcwH646AoCTvQ29ajG9VloeD+ez//fk++2n8HVz4ILeIfQI8SAxI4/bP98KwI3D2rH6sDnUHNzBB4PBUK01MCvi7WIOEJMy8yo8/ucec0jq5+ZAUqZ1sLn12Gm6PvEncy/txdWDw6yOHYrPYNJrqyzbk3sEsmSvuUJZoaWIiIi0dDkFRXT/z5JGefa+Zybj4lA3Udj//d//8fLLLxMeHo63d/VyhLlz57Jw4ULef/99OnXqxKpVq7juuuvw9/dnzJgxdTKulqRFhZZ33303v/76K6tWraJt28qnjQEMGTIEgMjIyEpDS0dHRxwdNeWquSosMrJwwzGe+mVfhccNBrhiYCjx6bkciMsAYMZ767h8QFsev6A7ni72DTlckUb1zvJIdp5IJTopi2PJ2Xx9+1Be++eQ1TkfrDrCmC7+PP7DHo4kZWFrY+C/xYElmLtQf3rzYL7ZcoK8QiMz+pd+Hx4Z4cctIzvQo42H1bTenPwiS2jZ0d8Ne60tK5jXEApwdyQho+KwEOCj1dF8tDqahyZ1tvqP56frj1led/A7tw7Y7X1d2RidwsH4DHILiqzCT6PRxC+7zKHlvy/oRkxqLuuiknhoUhc+Wn2E33fHATDn+93M+X43cy/tha2Ngc/WH2XPqdLlZp6a1p3xXUtDywA1oRIRERFpFp555hnOO++8ap+fl5fH888/zz///MOwYcMACA8PZ82aNXzwwQcKLSvQIkJLk8nEPffcww8//MCKFSvo0KFDldfs2LEDgODguum2KU1LfHouQ55fetZzerf1wsfVgeEd/Zi/9qhl/+KtJ8ktNPKW1riUFiQ5M4/DCZkMKa48KyslK5+Xllg3Lbnk3XWW169e0YcHv9kJwDUfbbTsf/6SngwN97W6LtTHhX9N6lLu+TY2Bh6/sHu5/c4Otjx+QTde/+cwz0zvUfM3Ji3W/RM7s3jrCZ6/pBdHk7L4z897Lc1qynr5r0MVXA1TegQxa1TV/x84my5B5grh91ZE8eP2U/x27yh8XB0oLDJywyebiE7Kwt3RjondAnF3smf2uAgA3rq6PxO6nuJfi3da7jXn+91W93Z3suP6oe24anAYTva2fDJzIEv3JzC2S8A5jVlERESkqXO2t2XfM5Mb7dl1ZeDAgTU6PzIykuzs7HJBZ35+Pv36KX+oSIsILWfPns0XX3zBTz/9hLu7O3Fx5uoGT09PnJ2diYqK4osvvuD888/H19eXXbt28cADDzB69Gh69+7dyKOX+vDt1pNVnnNJ3xAAxncNoHdbT3adTLMcWx+VhMlkoqDIRE5BEZ7OqrqU5istu4AL31pDbFoud4+L4KHJpaHi6ax87iieVluRMB8XLu3flpSsfJ77bb9l/5jO/lwxsG6Wy7hlVDi3jAqvk3tJy3HNkDCuGWKeVt0t2IOpvYLZcyqNC99aU+k1l/Zvw/fbTtEjxIP3rx9wzmPoG+ZleR2blsv5b6xmaq8gq190XTesHe5O1v9G2NoYuLR/GzYfTeGrzSfK3XdUJz/evba/1XXjuwYyvmvgOY9ZREREpKkzGAx1NkW7Mbm6Ws/qsbGxKbdmZkFBgeV1ZmYmAL/99htt2rSxOk+zfCvW/L9KgPfeew/AanFTgPnz5zNz5kwcHBz4559/eP3118nKyiI0NJQZM2bw+OOPN8JopSFEJWRaXj99UQ8u6d+G1KwCQn2cWbo/gYPxGVw7tB1g/uHyx7tGsOFIMh+viWbpgQSSMvPZG5POM7/uY19MOt/cPozuIR6N9XZEau3MquO3l0cSk5bD0A6+XD6wLf/3/S5LI5FnL+7JdUPCuO3zrfy9zzxV9b+XmBualQSL/+yLJyEjjysGti1XsSlS39p4OeNga0N+kZGZw9uz/UQqO0+kYjBAl0B3/ntxL64f2o52vuc2LbxEv1AvhnTwYWO0+e9IXHquVWAJcMeYipeYMRgMvDCjNy/M6E37//vNsn/Zv8YQ7n/2ruIiIiIi0vz4+/uzZ88eq307duzA3t78i+ru3bvj6OjI8ePHNRW8mlpEaFlV96fQ0FBWrlzZQKNpHXaeSGX78dNcM6QdDnZNaw26IqOJVcVNGD64fgCTewQB4FFc0TKxeyATu1tXs9jYGBge4cfwCD+u+WgD66KSrap57ly0le/uHI6fm377Ic3H8gMJvPjngXL7v992iu+3nWLemiMcijcH/G9e3Y+L+pirj/97cU/83ByZNbIDEQHW4cqZf3dEGpK3qwNf3jYUdyc7q+ZOSZl5eDrbY29rQ7+wumumZjAY+HzWEKKTsvh+20k+KF5/tUT03POrFd5fNqAt3249yaD23gosRURERFqo8ePH89JLL/HZZ58xbNgwFi5cyJ49eyxTv93d3XnooYd44IEHMBqNjBw5krS0NNauXYuHhwc33nhjI7+DpqdFhJbSsB77YTdfbDwOwInTOTxRwTp1jSUyIZOL3l5Ddn4R7k52jKvF2mCTugeyLirZat+x5GwmvLKSnU9OqquhitSrRRuP8e8fSn/Ld//ETvi6OfLEj6X7SgLLGf3bWgJLgAAPJ+Ze2qvhBitSAwPalQ8l6/MXSg52NnQJcmfO+d24dXQ4A5/7B4ALewdXu9r46Yt60NHfjUv6tan6ZBERERFpliZPnswTTzzBI488Qm5uLjfffDM33HADu3eXrm3+7LPP4u/vz9y5czly5AheXl7079+fxx57rBFH3nQZTFWVKYpFeno6np6epKWl4eHR+qYKp2UXsOJQAvd9tcNq/3MX9+S64qnWjeWnHad47e9DHE3Otux7alp3Zo6oeROGIqOJf/+wu8J1yDb/eyL+6uwqTVxsWg7D5i6zbI/q5Mfns4YAcCo1hyAPJ95ZHsnbyyPpEeLBvBsG4qsqYpFqeWjxTjZFp/DSZb0ZckYjKhERERGxlpubS3R0NB06dMDJyamxhyMN6Gyf++rmawota6A1h5bJmXmc/+Zq4tNLO7d2DXLnQFwGDnY2fHHLELqHePD3vniGd/Sr02Dvy03Hee7XffxrUhduGNaO537bz/bjp1lw02BcHe34aPURq87HTvY2fHTDQEZ18j+n5/61Nw4XBzuu+7i0W3JJlzOt5SdN2bzVRyxNc/51XmeuHhJWYSWayWTS17KIiIiIiNQbhZatV12ElpoeLme180QqDy3eyeEyjW0AHp3Slck9Ahn/ykryC41c9v56Brf3YdPRFAwG2PRY3VQkbopOYc735lLqZ37dxzO/7rMcu/qjDVw9OMwqsHz6oh6M7eJfJ00YJhWvhRni6URMWi4AOQVFrDqcxJjO5xaIitSFzLxCdp5IZXhHXwwGAylZ+Tz4zQ5WHEwE4NnpPbh+WPtKr1dgKSIiIiIiIk2VQks5qyd/3lsusAToHOhG+zOCwZIOxCYTfLPlBLPHRZzz8+evja702IG4DJ78ea9l+7ObBzO6HsLEz2YN4eM10eyNSWPXyTRu/GQTf9w3im7BravaVpqO7cdPs/loCr/timXnyTRuGtGebsEePPLtLss5A9p5c/nA0EYcpYiIiIiIiEjtKbSUCuUVFjH1jdUcScyy7PN2seeKgaFEJWYxspMfNjaVV2m9tOQgYzr707ONZ42e+eIfB8kpKOLeCRGYTPDXvngAvrh1CO+tiKKwyMQbV/dl7u8H+GH7Kcu1C2cNYWQnv1q806pFBLgx99JeJGXmWRowXPPRBtY8Oh5Xx9K/Qr/sjOGeL7cD0CnAjfevH0BHdYmVevDIt7usfpkwf+1Rq+MPTerM7HERqqQUERERERGRZkuhpVRof2yGJbBs5+vCpzcNxs7WQFtvl2rf46oPN7DqkXH4uDpY7TcaTbz45wFSswt4dGpXnv11H5uPpjC8oy/fbDkJmNex7BTgRpHRxNBwH4Z39GN4x9JQcmrPIEto6evqwJBwn3N9y1Xyc3Pk3gmdeHPpYU5nF3DXom18evNgy/F3lkdaXh9OyOTxH/bw5W1D631c0rrkFhRZBZbO9rbkFBRZtvuGenHXWAWWIiIiIiIi0rwptJQKHYrPsLx+7cq+tPereI3Ip6Z156lf9lnt83S2Jy2ngMy8Qka9uIzx3QL5v6ldaePlzO+7Y3nsh92kZhcA8PWW0g7dJYFliZJg5oJeweWeW3Y80/qEYG9rU8N3WDsz+rfhzaWHAVh5KNHSyCQ1O5+Y1ByrczdEJ5OWXYCni32DjE3OTVZeIasPJ2EwQI8QD0tAv/JQIn/vi+POsRG08XJu5FGa15kF8HCyY+eTkzAYDPyzL56MvAImdAvE0c7mrFXQIiIiIiIiIs1BwyQ90uwciDWHljOHt6d/mHel5904vD3r54xnSnHTGoBPZg7iioFtAcjKL+KXnTHc9+V29sWkc9eibZbAsiLtfF2YNbKD1b5hHctP++4U4MblA9oyuL1PufPrUztfV164tJdlOyYtl30x6fR95m/ScwtxtrflwLNT8HF1wGSCmLScs9xNmpKbF2zmjoVbuf3zrYx8cTnP/LKPlKx8nv9tPws3HGfEC8u476vtpGbnW65JycqnsMiIyWRqsHEu2ngcgIHtfSzVlBO7B3JJv7Z4ONnjaGfbYGMRERERERERqS+qtJQKbTt+GoB+YV5nPc9gMBDs6cyrV/bhz//EARDg7sjVg8NYuj8BWxsDCRl5bDl2mvPfXF3hPXq28eDFGb1xtLMh1McFRztbrhgYyp5Tabg62hIRUH5dSIPBwEuX9zm3N1lLVw0OY96aaCITMolMyORYcum6nxf0DsbJ3pYAd0dSsvJJyMijW/lCUYqMJtJzCvA+Y+q8NI6nft7LxugUq32frI3mkzMaQf20IwZbGwOvXtGXQ/EZXPDmalwd7XB1sCMtp4Cl/xpDoIdTvY71eEo2ADP6t63X54iIiIiIiIg0JoWWAsDprHzeXHaY5Mx8LuoTwu5TaQBnrbIsy8XBjq9uG0piRh6hPi6E+riw9YnzAHjml31W4Y+vqwOLbh1CVEIW+UVFTOkRjLODdXVYlyB3ugS519G7q3udAtyITMjkxk820b9MsPufad0B8HAyTwm/8ZNNrH5kHKE+1muBPvPLXhZtPM4nMwfVS8dzqb6CIiML1h21bN8zPoLYtFy+3XqywvO/33YKo9GEna0NBUUmUrMLLNXDE19Zye6nJ1vOPZacxWt/HyIjt5D/XtKLIM+zB5q/7Ypl89EU7p/YiTWRSXQL9ijXzCk5Kw+AIE/H2rxdERERERERkWZBoaUA4GhvY+lA/PPOGADGdfEvF7adzdBw3wr3PzipM99sOUFmXiEAX98+lIgAd7oGeZzboBuRo13pygrbjqcCcP/ETpawMja9dFr4qP8t597xEQxs78OoTn4YDAY+XX8MgJsWbCbq+fMbbuCtiMlkIj2nsMo1RddHJVtef33bUIYUfx3fNbYjD36zkx0nUrl6cBgPnNeJwf9dCsCPO2IqvFdG8dc4mH8RMOalFZbtwGWHef4S89ICadkF5BYW8dWmE5xKzebRKV2JT89j9hfbACwhqrujHb/dO4owX/PfwyKjiRMp5q8tX1eFliIiIiIiIk3V2LFj6du3L6+//npjD6XZUmgpgLlScnB7HzYdNU+Rtbc1MPfS3nVybzdHO7oGubPlmHnKebBn4zczOVdXDQ4rF1z5u5eGSA9N6sJ9X+2wbL+5zNxZ/IGJnZk5or1lf5HRxNrIJIaF+6p5Sh17a1kkr/59CIA3rupLXFou47oG0CnAjY9WH8HGYOCmER34fXcsANcMCbMElgDh/m7Mu3Egqw8ncn6vYBztbPnfZb155NtdVs/pEujO5QPb8txv+wFz5aa9rY3l2SW+2Hicw/EZBHo48dfeePKLjJZjZzahKpGRV8jol5YzvmsAb13dj8vfX2855uumpQVERERERETqw7Rp0ygoKODPP/8sd2z16tWMHj2anTt30rt33eQmUjGFlmLxxa1DmDl/M2sik7ikX5sqp7LWxIwBbdly7DR9Q71wdWz+X3ZDw31Z/cg4dp9K465F5uq4UO/SqtTpfdtga2Pgni+3U7ZHy2v/HOK7bdYB1bXzNmJjgA1zJhBQz+shthZnLklQEiDP/eMANgYwFn9OSoJGgGm9Q8rdx8/NkUv6la4decXAUK4YGMrygwl8siaaWSM7MLZLAEajied/34/RZK6wtLe1YfHWE4C5AndvTDp/74tn89HTZx23h5MdH1w/kNTsfNJzC3j0u90ALDuQQI8nl1id69YC/h6JiIiIiIg0RbNmzWLGjBmcPHmStm2t+wnMnz+fgQMHKrBsAPqpVyzsbG34fNZgUrLy8anjBjFXDw5jQteAOr9vYwr1cSHEy5n7J3bC09mekRHWXc4v7B3CsHBfJry60qpjekkjlbKMJvhmywkCPJx4aclBFtw0iB4hnvX+HpqS+PRcgHKNbIxGEwYDlk7ZVUnJymfBuuhKjxsraPTdP8yLIR18qj3WcV0CGNclwLJtY2PAx9WBpMx8Didk8tDineQWGOke7MF9EzqRmJHHykOJ5BeaqyvvndCJW0d1wN7WhkUbj7Pt2Gmm9Qmmb6i31S8Lthw9zeIz1tb0drHnnvGdqv3xEBERERERaVJMJigo/3Nxg7B3gWr8LHXhhRfi7+/PggULePzxxy37MzMzWbx4Mf/3f//H1VdfzapVqzh9+jQdO3bkscce4+qrr67P0bc6Ci3FisFgwNetftbKa4lVhLY2Bu6f2LnS475ujlzYO5iFG47Twc+VzoFuLNkbD8B9EzpxUd8QJryyEoCX/yqdTvzxmmhevaJvvY69Kdl8NIXr5m0kr9BIt2APxnbx5+FJXUjKzOP2hVtJyszj93tH4e509vUps/MLeXjxTkswue2J83jhj/109HfDz82Rfy3eCcAnMwey7Vgqn647Sucgdz67efA5T88vCS2vnbfRsu/B8zpjMBgI8HDi4LNTeG9lFL6uDlw5KMxyzqyRHZg1skOF93zp8j68dHkflu6PZ/GWk0ztFcRFfUIUWIqIiIiISPNVkA3Pl5/p1iAeiwEH1ypPs7Oz44YbbmDBggX8+9//tvwMtnjxYoqKirjuuutYvHgxjz76KB4eHvz2229cf/31dOzYkcGDB9f3u2g1FFqK1LOHJ3Ul2NOZqwaF4uvmyI4TqSzbH89NI9rj5eLA17cN5coPN1hd49uCKlKrsik6hSs+KF2rcX9sOvtj09lyNMVqOvWyAwlM79uGIqOJU6dzaOPtjK2NgdyCIpzsbUnIyGXWgi3sPpWGo50NH1w/AB9XB/53WR/LPQZ38MHH1QFXRzvGdw3kocld6ux9DA335VB8pmX73Wv7M7F7oGXbYDBw19iIWt17QrdAJnQLrPpEERERERERqRM333wzL730EitXrmTs2LGAeWr4jBkzaNeuHQ899JDl3HvuuYclS5bwzTffKLSsQwotReqZp4s9s8eVhlV9Q73oG+pl2e7Zpvw08NwCY7l9LdX8MmtPTusTwi/F3evPXP9xY3QK0/u24cNVR3jxzwOAuYt7XqH1x8rH1YGPbhjIgHbe5Z4V6uNSbl9deXhyF4qMJhIy8rh8QFsm9Qiqt2eJiIiIiIg0W/Yu5orHxnp2NXXt2pXhw4fzySefMHbsWCIjI1m9ejXPPPMMRUVFPP/883zzzTecOnWK/Px88vLycHGpv585WyOFliKNzNXRDj83R5Iy85jYLZB/9seTkVu6BmZhkZG7Fm0jp6CIT2YOwt7WphFHW/e2H08F4Ns7hjGwvQ9XDgzluo9Lp1gPaOfN1mOniSyuYlx1KNFy7MzAsq23MwtnDaG9X9Xl/nXN3cme/17Sq8GfKyIiIiIi0qwYDNWaot0UzJo1i3vuuYd33nmH+fPn07FjR8aMGcOLL77IG2+8weuvv06vXr1wdXXl/vvvJz8/v7GH3KIotBRpAn65ZwTHkrM5mpTFP/vjycwrtBxbsO4of+0zr4P50pKDzJnatVprGppMphqvfViba2ojKTOPub8fYEA7b+KKG/B0CnQHYGQnPw48O4XkrHxsDQaOJWdx5Ycb2HQ0had+3sv6I8kV3tPWxtBogaWIiIiIiIi0PFdccQX33XcfX3zxBZ999hl33nknBoOBtWvXMn36dK677joAjEYjhw4donv37o084pZFoaVIExDs6UywpzPJmebfyuyPzWBdZBKdg9x57rf9lvM+XHWEA3EZzJ85CNtKGscYjSa+3HycF34/wOSeQfxvRu9qNZlZF5nENfM2EujhyK/3jMLfvX4aMgE888s+ft4Zw3fbzJ2xAz0c8XQubbLjZG9LGy9nAKv3uWDdUcvrTf+ewN/74pnYLbBcx3ERERERERGRc+Xm5saVV17JnDlzSE9PZ+bMmQB06tSJb7/9lnXr1uHt7c2rr75KfHy8Qss61rLmmYo0c25O5t8jnErN4Zp5Gxn43D+WYyMj/ADz9Ohr521g2/HTmEwmq+t/3H6K8Md+598/7CEjr5Bvt55k1eFEqmIymXj4210AxKfnMei//7D9eOmaktn5hby97DBvLT3MkcTMym5TpfxCI7d+toWfd1qvXxIR4FbpNf7ujvz7/G5W+/5zYXcC3J24dkg7BZYiIiIiIiJSb2bNmsXp06eZPHkyISHmruePP/44/fv3Z/LkyYwdO5agoCAuvvjixh1oC6RKS5EmxKtMtWFZt40OZ87Urkx9YzUH4jLYcCSFS99dx3VDw3h2ek/LlO6ylYglvtp0grFdAip9Zmp2Pjd8solTqTlW+1/9+xA9Qjw5mpTFn3vjLPtf+fsQD03qzJ1jIyqt9qxIWk4Bc3/fz9/FU91nDm9v7vK96gi3je541mtvHR3OvDVHiE/P44Jewdw8skO1nysiIiIiIiJSW8OGDStXMOTj48OPP/541utWrFhRf4NqJQymMz/yUqn09HQ8PT1JS0vDw8OjsYcjLVBeYRFdHv8TgDZezpYgMfK/U7GzteFUag4jXlhmdc1rV/bhZEoOH6w6YlkL85EpXege7MHM+ZsB+PWekdjb2vDxmiNc1KcNIzv5Wa5/7td9zFtj7uB974ROdApw454vt1drvFN7BvGvSZ2JCHCv9Jyc/CLi03N58JsdbCtuunN+ryDeuro/NgZIzynE06XisLasdZFJrDyUyD0TOuHmqN+3iIiIiIiINHW5ublER0fToUMHnJw0S641Odvnvrr5mkLLGlBoKQ3h8/VH+WVXLG9f04+l+xMI9XaxChkLi4z8tCOGN5cd5lhydrnr+4d58f1dIwAY89LyCs+5cVg7nrqoBwaDgZEvLuPkaXM4eui5qdjZGAh/7Her83u39WTWyA70D/PmgjdXk55baHX8s5sHM7qzv2XbZDKxZG8c32w5yZrDSeQXlXb5Ht7Rl4WzhlRrnU0RERERERFpvhRatl51EVqqXEmkibl+WHuuH9YegKsHh5U7bmdrw4wBbekY4MbF76y1OmZjgLvGRli2L+oTwlvLIsvd49P1x7i4Xxt8XR05eToHOxsD2/5zHg52NsXPDeXLTScYGeHHgpsGYWdbuvztjv9M4mB8BlPfWG3Z9/aySEZ18iMjr5AHvtrB0gMJlb6/RbcMaZAO5SIiIiIiIiLSfCm0FGmm+rT1pHuwB/ti0/nXeZ2Z3DMIFwdb2nq7WM65f2JnrhgYyidro4lMyGRwex9e+fsQAHtj0olMMDfV6d/OGw+n0inaz0zvyQPndSbAvfxvwmxsDHQL9uDoCxdw8nQ2E15ZyaajKby3Moqc/KJygeX8mYN48c8DHIjLYFwXfwWWIiIiIiIiIlIlhZYizZTBYOCr24eSk19UaQdtWxsDoT4uPDmth2XflmOnWXkokcd/3GPZd2m/NlbX2dvaVBhYnqmttwsPT+7Cc7/t539/HrQ6dvmAtjx3SU8c7WwZ1zWAzUdT6ODnWpO3KCIiIiIiIiKtlE3Vp4hIU+XhZF9pYFmZ83sFWW2P6uTHpf3b1noM1w1th1eZRjq2Ngb2PTOZly7vg6OdrWX/oPY++Lk51vo5IiIiIiIiItJ6KLQUaWUmdAu0vB7e0ZfPZw2xrGVZG072tnx121BCPM3h6SX92uDioCJuEREREREREak9JQsirYyfmyPvXdufH3ec4qFJXerknl2DPPjzgdFsP57KiI6+dXJPEREREREREWm9FFqKtEJTewUztVdwnd7Tw8meMZ396/SeIiIiIiIiItI6aXq4iIiIiIiIiIhII5g5cyYXX3yxZXvs2LHcf//953TPurhHU6DQUkREREREREREpIyZM2diMBgwGAw4ODgQERHBM888Q2FhYb0+9/vvv+fZZ5+t1rkrVqzAYDCQmppa63s0ZZoeLiIiIiIiIiIicoYpU6Ywf/588vLy+P3335k9ezb29vbMmTPH6rz8/HwcHBzq5Jk+Pj5N4h5NgSotRURERERERESkQZhMJrILshvlj8lkqtFYHR0dCQoKol27dtx5551MnDiRn3/+2TKl+7///S8hISF06WJucnvixAmuuOIKvLy88PHxYfr06Rw9etRyv6KiIh588EG8vLzw9fXlkUceKTemM6d25+Xl8eijjxIaGoqjoyMRERF8/PHHHD16lHHjxgHg7e2NwWBg5syZFd7j9OnT3HDDDXh7e+Pi4sLUqVM5fPiw5fiCBQvw8vJiyZIldOvWDTc3N6ZMmUJsbKzlnBUrVjB48GBcXV3x8vJixIgRHDt2rEYfz5pSpaWIiIiIiIiIiDSInMIchnwxpFGevfGajbjYu9T6emdnZ5KTkwFYunQpHh4e/P333wAUFBQwefJkhg0bxurVq7Gzs+O5555jypQp7Nq1CwcHB1555RUWLFjAJ598Qrdu3XjllVf44YcfGD9+fKXPvOGGG1i/fj1vvvkmffr0ITo6mqSkJEJDQ/nuu++YMWMGBw8exMPDA2dn5wrvMXPmTA4fPszPP/+Mh4cHjz76KOeffz779u3D3t4egOzsbF5++WU+//xzbGxsuO6663jooYdYtGgRhYWFXHzxxdx66618+eWX5Ofns2nTJgwGQ60/ltWh0FJERERERERERKQSJpOJpUuXsmTJEu655x4SExNxdXVl3rx5lmnhCxcuxGg0Mm/ePEuYN3/+fLy8vFixYgWTJk3i9ddfZ86cOVx66aUAvP/++yxZsqTS5x46dIhvvvmGv//+m4kTJwIQHh5uOV4yDTwgIAAvL68K71ESVq5du5bhw4cDsGjRIkJDQ/nxxx+5/PLLAXPo+v7779OxY0cA7r77bp555hkA0tPTSUtL48ILL7Qc79atW80/kDWk0FJERERERERERBqEs50zG6/Z2GjProlff/0VNzc3CgoKMBqNXHPNNTz11FPMnj2bXr16Wa1juXPnTiIjI3F3d7e6R25uLlFRUaSlpREbG8uQIaVVpnZ2dgwcOLDSaes7duzA1taWMWPG1GjcZe3fvx87Ozur5/r6+tKlSxf2799v2efi4mIJJAGCg4NJSEgAzOHozJkzmTx5Mueddx4TJ07kiiuuIDg4uNbjqg6FliIiIiIiIiIi0iAMBsM5TdFuSOPGjeO9997DwcGBkJAQ7OxKYzRXV1erczMzMxkwYACLFi0qdx9/f/9aPb+y6d71oWSaeAmDwWAVps6fP597772XP//8k6+//prHH3+cv//+m6FDh9bbmNSIR0RERERERERE5Ayurq5EREQQFhZmFVhWpH///hw+fJiAgAAiIiKs/nh6euLp6UlwcDAbN5ZWmRYWFrJ169ZK79mrVy+MRiMrV66s8HhJpWdRUVGl9+jWrRuFhYVWz01OTubgwYN07979rO/pTP369WPOnDmsW7eOnj178sUXX9To+ppSaCkiIiIiIiIiInIOrr32Wvz8/Jg+fTqrV68mOjqaFStWcO+993Ly5EkA7rvvPl544QV+/PFHDhw4wF133UVqamql92zfvj033ngjN998Mz/++KPlnt988w0A7dq1w2Aw8Ouvv5KYmEhmZma5e3Tq1Inp06dz6623smbNGnbu3Ml1111HmzZtmD59erXeW3R0NHPmzGH9+vUcO3aMv/76i8OHD9f7upYKLUVERERERERERM6Bi4sLq1atIiwsjEsvvZRu3boxa9YscnNz8fDwAOBf//oX119/PTfeeCPDhg3D3d2dSy655Kz3fe+997jsssu466676Nq1K7feeitZWVkAtGnThqeffpr/+7//IzAwkLvvvrvCe8yfP58BAwZw4YUXMmzYMEwmE7///nu5KeFne28HDhxgxowZdO7cmdtuu43Zs2dz++231+AjVHMGU2WrfUo56enpeHp6kpaWZvmCExERERERERGR8nJzc4mOjqZDhw44OTk19nCkAZ3tc1/dfE2VliIiIiIiIiIiItKkKLQUERERERERERGRJkWhpYiIiIiIiIiIiDQpCi1FRERERERERESkSVFoKSIiIiIiIiIi9UY9oFufuvicK7QUEREREREREZE6Z29vD0B2dnYjj0QaWsnnvORroDbs6mowIiIiIiIiIiIiJWxtbfHy8iIhIQEAFxcXDAZDI49K6pPJZCI7O5uEhAS8vLywtbWt9b0UWoqIiIiIiIiISL0ICgoCsASX0jp4eXlZPve1pdBSRERERERERETqhcFgIDg4mICAAAoKChp7ONIA7O3tz6nCsoRCSxERERERERERqVe2trZ1EmRJ66FGPCIiIiIiIiIiItKkKLQUERERERERERGRJkWhpYiIiIiIiIiIiDQpWtOyBkwmEwDp6emNPBIREREREREREZHmpyRXK8nZKqPQsgYyMjIACA0NbeSRiIiIiIiIiIiINF8ZGRl4enpWetxgqirWFAuj0UhMTAzu7u4YDIbGHk6dO3XqFN27d2/sYYiIiIiIiIiItGr79u2jTZs2jT2MemEymcjIyCAkJAQbm8pXrlSlZQ3Y2NjQtm3bxh5GvdG0dxERERERERGRxufu7o6Hh0djD6PenK3CsoQa8YiIiIiIiIiIiEiTotBSREREREREREREmhRNDxcLDw8PRowYQWFhoWX9zpL1BcpuAxW+1nk6T+fpPJ3XsOc1hTHoPJ2n83Sezmsd5zWFMeg8nafzdF5rOS8sLKxFTw2vLjXiERERERERERERkSZF08NFRERERERERESkSVFoKSIiIiIiIiIiIk2KQksRERERERERERFpUhRaioiIiIiIiIiISJOi7uGNYO7cuTz99NPk5eU19lBERERERERERESq1L17d/bu3dtgz1No2QhWrlxJYWEhtra2FBUVNfZwREREREREREREKuTg4ICTkxOXX355gz7XYDKZTA36RCknMTGRgICAxh6GiIiIiIiIiIi0MnZ2dhQWFgJgMBgoiQodHR3Jy8vDYDAAEB0dTbt27RpsXFrTsglIS0tr7CGIiIiIiIiIiEgrVBJYApStbSxZ1tBkMjF+/PgGDSxBoWWjMxqN3HPPPY09DBERERERERERkQqlpKQ0+DM1PbyR3XnnnXzwwQfo0yAiIiIiIiIiIk1VdnY2zs7ODfY8VVo2orvvvluBpYiIiIiIiIiINCkl61iWtXjx4gYdg0LLRmAymbjzzjt55513FFiKiIiIiIiIiEijcHJyKrfP0dGRLl26lNt//vnnN8SQLBRaNoLZs2fz/vvvN/YwRERERERERESkFcvNzS23Ly8vjwMHDljtGzFiBKmpqQ00KjOtadkIKiqxFRERERERERERaarGjBnDihUrGux5dg32JLFQTiwiIiIiIiIiIlI5TQ8XERERERERERGRJkWhpYiIiIiIiIiIiDQpCi1FRERERERERESkSVFoKSIiIiIiIiIiIk2KQksRERERERERERFpUhRaioiIiIiIiIiISJOi0FJERERERERERESaFIWWIiIiIiIiIiIi0qQotBQREREREREREZEmRaGliIiIiNSrp556CoPBYPXHxsYGDw8P2rZty/Dhw5k9ezbffvst+fn59TKG1NRUnnrqKZ566ilSU1Pr5RkiIiIiUncMJpPJ1NiDEBEREZGW66mnnuLpp58GIDAw0LI/JyeHjIwMyv531NfXl+eee4477rijTsdw9OhROnToAEB0dDTt27ev0/uLiIiISN1SpaWIiIiINJi4uDjLn7S0NAoKCti1axevvPIKHTp0IDk5mTvvvJNrr70W/W5dREREpPVSaCkiIiIijcbW1pZevXrx4IMPsmfPHq666ioAvvjiC1544YVGHp2IiIiINBaFliIiIiLSJLi4uPDpp5/Sr18/AF544QVSUlIsx41GI0uXLuXee+9l6NChtG3bFgcHB3x9fRkzZgzvv/8+BQUF5e47duxYy9RwgA4dOlitrzl27Nhy1+Tn5/Puu+8ybtw4/Pz8cHBwICgoiOnTp/PHH3/U/ZsXERERESsKLUVERESkyXBwcOCxxx4DID09nR9//NFy7Pjx40ycOJG33nqLjRs3kpaWhouLCykpKaxatYo777yTCRMmkJOTY3VPHx8f/Pz8LNt+fn4EBgZa/vj4+Fidf+zYMfr378/s2bNZsWIFKSkpuLi4EB8fz88//8z555/PnXfeWX8fBBERERFRaCkiIiIiTcuUKVOwtbUFYOXKlZb9dnZ2XHvttfz8888kJyeTkZFBamoqGRkZzJ8/n5CQEFavXs2///1vq/t9//33bN682bK9efNmq7U1v//+e8uxrKwspkyZwt69exk7diwrVqwgJyeH1NRUUlNTefXVV3Fzc+P999/njTfeqOePhIiIiEjrpdBSRERERJoUNzc3wsPDAYiKirLsb9u2LQsXLmTatGlW1ZFubm7MnDmTn376CYAPP/yQ3NzcWj371Vdf5cCBA4wZM4a//vqLMWPG4OjoCICnpycPPPAAn332GQDPPfcchYWFtXqOiIiIiJydQksRERERaXJKQsmya1pWZeDAgQQEBJCVlcWOHTtq9dyPP/4YgAcffBB7e/sKz7n44ovx8PAgKSmJrVu31uo5IiIiInJ2do09ABERERGR6srPz+eTTz7h+++/Z8+ePSQnJ5Ofn1/uvJMnT9b43qdOneLYsWMAzJo1yzJFvSKZmZmAef3LIUOG1PhZIiIiInJ2Ci1FREREpMkpqbD09fW17EtISGDixIns3r3bss/JyQk/Pz9LwJiYmIjRaCQrK6vGz4yJibG8TkpKqtY12dnZNX6OiIiIiFRNoaWIiIiINCmZmZkcOXIEgI4dO1r2P/DAA+zevRtfX19eeuklpk6dSlBQkNW1oaGhnDx5EpPJVOPnFhUVWV7v37+frl271vIdiIiIiMi50pqWIiIiItKk/Pnnn5YAcezYsQAUFBRYuny//fbb3HTTTeUCy6KiompXSFak7P1KpomLiIiISONQaCkiIiIiTUZ+fj7PP/88YO7WffHFFwPmad8lHcH79etX4bVr1qyptGu4jU3pf3srq8Js3749bdq0AeCXX36p1fhFREREpG4otBQRERGRJiEnJ4eZM2eyfft2AObMmYOXlxcAHh4eGAwGAHbu3Fnu2sLCQv79739Xem8PDw/L69TU1ErPu/XWWwFzF/GScVSmJp3NRURERKRmFFqKiIiISKMxGo3s2bOHV199lR49evDll18CcP311/PII49YznNzc2PEiBEAPPjggyxbtgyj0QjAnj17OP/889myZQuurq4VPsfLy8tSRTl//nwKCwsrPO9f//oXvXr1Ijc3l3HjxvH222+TnJxsOZ6amsoff/zBDTfcwKhRo879AyAiIiIiFTKYarNKuYiIiIhINT311FM8/fTTAAQGBlr25+XlkZ6ebgkfAfz8/Hjuuee4/fbby91n69atjBkzxtIZ3NHREQcHBzIyMrCzs+OTTz7hiSee4NixY8yfP5+ZM2daXf/cc8/xxBNPWK4NCAjAxsaGoUOH8tVXX1nOi4mJYcaMGWzYsAEAg8GAp6cnRqOR9PR0y3kREREcPnz4HD86IiIiIlIRdQ8XERERkQYTHx8PmINAV1dXgoKCCAsLo1+/fkyYMIFp06bh4OBQ4bUDBgxg06ZNPP300yxbtoy0tDTc3d2ZOnUqDz30EIMGDbKEkhV57LHH8PDw4PPPP+fAgQOWLuPt27e3Oi8kJIQ1a9awePFivvzyS7Zs2UJSUhI2Nja0b9+eXr16MWHCBK644oo6+7iIiIiIiDVVWoqIiIiIiIiIiEiTojUtRUREREREREREpElRaCkiIiIiIiIiIiJNikJLERERERERERERaVIUWoqIiIiIiIiIiEiTotBSREREREREREREmhSFliIiIiIiIiIiItKkKLQUERERERERERGRJkWhpYiIiIiIiIiIiDQpCi1FRERERERERESkSVFoKSIiIiIiIiIiIk2KQksRERERERERERFpUhRaioiIiIiIiIiISJOi0FJERERERERERESalP8H/SWMclQ0WkUAAAAASUVORK5CYII=",
            "text/plain": [
              "<Figure size 1600x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plot the data\n",
        "train = data[:training_data_len]\n",
        "valid = data[training_data_len:]\n",
        "valid['Predictions'] = lstm_predictions\n",
        "\n",
        "plt.figure(figsize=(16,8))\n",
        "plt.title('Model')\n",
        "plt.xlabel('Date', fontsize=18)\n",
        "plt.ylabel('Close Price USD ($)', fontsize=18)\n",
        "plt.plot(train['Close'])\n",
        "plt.plot(valid[['Close','Predictions']])\n",
        "plt.legend(['True', 'Val', 'Predictions'], loc = 'lower right')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "id": "Ti7t2PtFLbLV"
      },
      "outputs": [],
      "source": [
        "lstm_predictions = np.array(lstm_predictions)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}