Testing_Optimized_Methods_On_Large_Data.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Testing_Optimized_Methods_On_Large_Data.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNFqY19cYhjlsqZct91Fe3G",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/adnaneaabbar/stock-trading-system/blob/master/Testing_Optimized_Methods_On_Large_Data.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tOqRKGm1PUhW",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "\n",
        "import matplotlib\n",
        "from jedi.api.refactoring import inline\n",
        "from utils import *\n",
        "\n",
        "import time\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "from mxnet import nd, autograd, gluon\n",
        "from mxnet.gluon import nn, rnn\n",
        "import mxnet as mx\n",
        "import datetime\n",
        "import seaborn as sns\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "# %matplotlib inline\n",
        "from sklearn.decomposition import PCA\n",
        "\n",
        "import math\n",
        "\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "import xgboost as xgb\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n",
        "import warnings\n",
        "\n",
        "import bert\n",
        "\n",
        "from collections import deque"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rWwV0fkQQvog",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "warnings.filterwarnings(\"ignore\")\n",
        "\n",
        "context = mx.cpu(); model_ctx=mx.cpu()\n",
        "mx.random.seed(1719)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XVf01lwOQyKk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def parser(x):\n",
        "    return datetime.datetime.strptime(x,'%Y-%m-%d')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sFBGD7LeQ1dT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "dataset_ex_df = pd.read_csv('https://raw.githubusercontent.com/adnaneaabbar/stock-trading-system/master/data/ge.csv?token=AKSKTRWPUP4GMYBFXJOASHK62G7KG', header=0, parse_dates=[0], date_parser=parser)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NcL6E5NgRXRG",
        "colab_type": "code",
        "outputId": "1a9c3966-3a08-432b-97ca-6dc8d63521be",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print('There are {} number of days in the dataset.'.format(dataset_ex_df.shape[0]))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "There are 14058 number of days in the dataset.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8EiBPP0QRZHX",
        "colab_type": "code",
        "outputId": "edf6ec49-797c-46bf-c617-3cb59ec4a008",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 480
        }
      },
      "source": [
        "plt.figure(figsize=(14, 5), dpi=100)\n",
        "plt.plot(dataset_ex_df['Date'], dataset_ex_df['Close'], label='stock')\n",
        "plt.vlines(datetime.date(2003,4, 20), 0, 270, linestyles='--', colors='gray', label='Train/Test data cut-off')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('USD')\n",
        "plt.title('Figure 2: Stock')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1400x500 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SKpDyjrkReIp",
        "colab_type": "code",
        "outputId": "67ab9800-79a9-4afd-907e-b29f92ce9ebe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "num_training_days = int(dataset_ex_df.shape[0]*.75)\n",
        "print('Number of training days: {}. Number of test days: {}.'.format(num_training_days,dataset_ex_df.shape[0]-num_training_days))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Number of training days: 10543. Number of test days: 3515.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bAzdoHlFShYT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import math"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ux1ssVZLSD8P",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def get_technical_indicators(dataset):\n",
        "    # Create 7 and 21 days Moving Average\n",
        "    dataset['ma7'] = dataset['Close'].rolling(window=7).mean()\n",
        "    dataset['ma21'] = dataset['Close'].rolling(window=21).mean()\n",
        "\n",
        "    # Create MACD\n",
        "    # dataset['26ema'] = pd.ewma(dataset['price'], span=26)\n",
        "    dataset['26ema'] = dataset['Close'].ewm(span = 26).mean()\n",
        "    #dataset['12ema'] = pd.ewma(dataset['price'], span=12)\n",
        "    dataset['12ema'] = dataset['Close'].ewm(span = 12).mean()\n",
        "    dataset['MACD'] = (dataset['12ema']-dataset['26ema'])\n",
        "\n",
        "    # Create Bollinger Bands\n",
        "    dataset['20sd'] = dataset['Close'].rolling(20).std()\n",
        "    \n",
        "    dataset['upper_band'] = dataset['ma21'] + 2*(dataset['Close'].rolling(20).std())\n",
        "    dataset['lower_band'] = dataset['ma21'] - 2*(dataset['Close'].rolling(20).std())\n",
        "\n",
        "    # Create Exponential moving average\n",
        "    dataset['ema'] = dataset['Close'].ewm(com=0.5).mean()\n",
        "\n",
        "    # Create Momentum\n",
        "    dataset['momentum'] = dataset['Close']-1\n",
        "    dataset['log_momentum'] = np.log(dataset['momentum'])\n",
        "\n",
        "    return dataset"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Jsyd_Bw5Slzj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "dataset_TI_df = get_technical_indicators(dataset_ex_df[['Close']])\n",
        "dataset_TI_df = dataset_TI_df.drop(range(20))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1SGggwHiSoDa",
        "colab_type": "code",
        "outputId": "eec0ce97-1bbc-47a1-c0c8-3353003d0dd3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "dataset_TI_df.tail(50)\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Close</th>\n",
              "      <th>ma7</th>\n",
              "      <th>ma21</th>\n",
              "      <th>26ema</th>\n",
              "      <th>12ema</th>\n",
              "      <th>MACD</th>\n",
              "      <th>20sd</th>\n",
              "      <th>upper_band</th>\n",
              "      <th>lower_band</th>\n",
              "      <th>ema</th>\n",
              "      <th>momentum</th>\n",
              "      <th>log_momentum</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>14008</th>\n",
              "      <td>24.891</td>\n",
              "      <td>24.281714</td>\n",
              "      <td>24.669286</td>\n",
              "      <td>24.813321</td>\n",
              "      <td>24.449288</td>\n",
              "      <td>-0.364033</td>\n",
              "      <td>0.472091</td>\n",
              "      <td>25.613468</td>\n",
              "      <td>23.725103</td>\n",
              "      <td>24.672783</td>\n",
              "      <td>23.891</td>\n",
              "      <td>3.173502</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14009</th>\n",
              "      <td>24.515</td>\n",
              "      <td>24.346714</td>\n",
              "      <td>24.621190</td>\n",
              "      <td>24.791223</td>\n",
              "      <td>24.459398</td>\n",
              "      <td>-0.331825</td>\n",
              "      <td>0.438187</td>\n",
              "      <td>25.497564</td>\n",
              "      <td>23.744816</td>\n",
              "      <td>24.567594</td>\n",
              "      <td>23.515</td>\n",
              "      <td>3.157639</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14010</th>\n",
              "      <td>24.673</td>\n",
              "      <td>24.407429</td>\n",
              "      <td>24.587714</td>\n",
              "      <td>24.782466</td>\n",
              "      <td>24.492260</td>\n",
              "      <td>-0.290206</td>\n",
              "      <td>0.404745</td>\n",
              "      <td>25.397204</td>\n",
              "      <td>23.778225</td>\n",
              "      <td>24.637865</td>\n",
              "      <td>23.673</td>\n",
              "      <td>3.164335</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14011</th>\n",
              "      <td>23.782</td>\n",
              "      <td>24.343714</td>\n",
              "      <td>24.515095</td>\n",
              "      <td>24.708357</td>\n",
              "      <td>24.382989</td>\n",
              "      <td>-0.325368</td>\n",
              "      <td>0.380255</td>\n",
              "      <td>25.275605</td>\n",
              "      <td>23.754586</td>\n",
              "      <td>24.067288</td>\n",
              "      <td>22.782</td>\n",
              "      <td>3.125971</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14012</th>\n",
              "      <td>23.584</td>\n",
              "      <td>24.256000</td>\n",
              "      <td>24.425952</td>\n",
              "      <td>24.625071</td>\n",
              "      <td>24.260068</td>\n",
              "      <td>-0.365004</td>\n",
              "      <td>0.402799</td>\n",
              "      <td>25.231551</td>\n",
              "      <td>23.620354</td>\n",
              "      <td>23.745096</td>\n",
              "      <td>22.584</td>\n",
              "      <td>3.117242</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14013</th>\n",
              "      <td>23.485</td>\n",
              "      <td>24.176714</td>\n",
              "      <td>24.351429</td>\n",
              "      <td>24.540622</td>\n",
              "      <td>24.140826</td>\n",
              "      <td>-0.399795</td>\n",
              "      <td>0.428797</td>\n",
              "      <td>25.209023</td>\n",
              "      <td>23.493834</td>\n",
              "      <td>23.571699</td>\n",
              "      <td>22.485</td>\n",
              "      <td>3.112848</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14014</th>\n",
              "      <td>23.673</td>\n",
              "      <td>24.086143</td>\n",
              "      <td>24.290571</td>\n",
              "      <td>24.476353</td>\n",
              "      <td>24.068853</td>\n",
              "      <td>-0.407500</td>\n",
              "      <td>0.409789</td>\n",
              "      <td>25.110150</td>\n",
              "      <td>23.470993</td>\n",
              "      <td>23.639233</td>\n",
              "      <td>22.673</td>\n",
              "      <td>3.121175</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14015</th>\n",
              "      <td>23.871</td>\n",
              "      <td>23.940429</td>\n",
              "      <td>24.231619</td>\n",
              "      <td>24.431512</td>\n",
              "      <td>24.038414</td>\n",
              "      <td>-0.393098</td>\n",
              "      <td>0.388699</td>\n",
              "      <td>25.009016</td>\n",
              "      <td>23.454222</td>\n",
              "      <td>23.793744</td>\n",
              "      <td>22.871</td>\n",
              "      <td>3.129870</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14016</th>\n",
              "      <td>24.020</td>\n",
              "      <td>23.869714</td>\n",
              "      <td>24.190143</td>\n",
              "      <td>24.401030</td>\n",
              "      <td>24.035581</td>\n",
              "      <td>-0.365449</td>\n",
              "      <td>0.358438</td>\n",
              "      <td>24.907020</td>\n",
              "      <td>23.473266</td>\n",
              "      <td>23.944581</td>\n",
              "      <td>23.020</td>\n",
              "      <td>3.136363</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14017</th>\n",
              "      <td>23.930</td>\n",
              "      <td>23.763571</td>\n",
              "      <td>24.146238</td>\n",
              "      <td>24.366139</td>\n",
              "      <td>24.019338</td>\n",
              "      <td>-0.346801</td>\n",
              "      <td>0.352064</td>\n",
              "      <td>24.850367</td>\n",
              "      <td>23.442109</td>\n",
              "      <td>23.934860</td>\n",
              "      <td>22.930</td>\n",
              "      <td>3.132446</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14018</th>\n",
              "      <td>24.460</td>\n",
              "      <td>23.860429</td>\n",
              "      <td>24.144095</td>\n",
              "      <td>24.373092</td>\n",
              "      <td>24.087132</td>\n",
              "      <td>-0.285959</td>\n",
              "      <td>0.357768</td>\n",
              "      <td>24.859631</td>\n",
              "      <td>23.428560</td>\n",
              "      <td>24.284953</td>\n",
              "      <td>23.460</td>\n",
              "      <td>3.155297</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14019</th>\n",
              "      <td>24.200</td>\n",
              "      <td>23.948429</td>\n",
              "      <td>24.139000</td>\n",
              "      <td>24.360270</td>\n",
              "      <td>24.104496</td>\n",
              "      <td>-0.255774</td>\n",
              "      <td>0.357137</td>\n",
              "      <td>24.853274</td>\n",
              "      <td>23.424726</td>\n",
              "      <td>24.228318</td>\n",
              "      <td>23.200</td>\n",
              "      <td>3.144152</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14020</th>\n",
              "      <td>24.320</td>\n",
              "      <td>24.067714</td>\n",
              "      <td>24.142429</td>\n",
              "      <td>24.357287</td>\n",
              "      <td>24.137651</td>\n",
              "      <td>-0.219636</td>\n",
              "      <td>0.356013</td>\n",
              "      <td>24.854454</td>\n",
              "      <td>23.430403</td>\n",
              "      <td>24.289439</td>\n",
              "      <td>23.320</td>\n",
              "      <td>3.149311</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14021</th>\n",
              "      <td>24.750</td>\n",
              "      <td>24.221571</td>\n",
              "      <td>24.161143</td>\n",
              "      <td>24.386377</td>\n",
              "      <td>24.231858</td>\n",
              "      <td>-0.154518</td>\n",
              "      <td>0.381968</td>\n",
              "      <td>24.925079</td>\n",
              "      <td>23.397207</td>\n",
              "      <td>24.596480</td>\n",
              "      <td>23.750</td>\n",
              "      <td>3.167583</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14022</th>\n",
              "      <td>24.870</td>\n",
              "      <td>24.364286</td>\n",
              "      <td>24.195476</td>\n",
              "      <td>24.422201</td>\n",
              "      <td>24.330034</td>\n",
              "      <td>-0.092167</td>\n",
              "      <td>0.412346</td>\n",
              "      <td>25.020167</td>\n",
              "      <td>23.370785</td>\n",
              "      <td>24.778827</td>\n",
              "      <td>23.870</td>\n",
              "      <td>3.172622</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14023</th>\n",
              "      <td>25.110</td>\n",
              "      <td>24.520000</td>\n",
              "      <td>24.245476</td>\n",
              "      <td>24.473149</td>\n",
              "      <td>24.450029</td>\n",
              "      <td>-0.023120</td>\n",
              "      <td>0.459709</td>\n",
              "      <td>25.164894</td>\n",
              "      <td>23.326058</td>\n",
              "      <td>24.999609</td>\n",
              "      <td>24.110</td>\n",
              "      <td>3.182627</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14024</th>\n",
              "      <td>24.930</td>\n",
              "      <td>24.662857</td>\n",
              "      <td>24.277952</td>\n",
              "      <td>24.506990</td>\n",
              "      <td>24.523870</td>\n",
              "      <td>0.016881</td>\n",
              "      <td>0.484449</td>\n",
              "      <td>25.246850</td>\n",
              "      <td>23.309055</td>\n",
              "      <td>24.953203</td>\n",
              "      <td>23.930</td>\n",
              "      <td>3.175133</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14025</th>\n",
              "      <td>24.370</td>\n",
              "      <td>24.650000</td>\n",
              "      <td>24.284714</td>\n",
              "      <td>24.496842</td>\n",
              "      <td>24.500198</td>\n",
              "      <td>0.003356</td>\n",
              "      <td>0.484435</td>\n",
              "      <td>25.253584</td>\n",
              "      <td>23.315845</td>\n",
              "      <td>24.564401</td>\n",
              "      <td>23.370</td>\n",
              "      <td>3.151453</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14026</th>\n",
              "      <td>24.240</td>\n",
              "      <td>24.655714</td>\n",
              "      <td>24.286714</td>\n",
              "      <td>24.477817</td>\n",
              "      <td>24.460168</td>\n",
              "      <td>-0.017649</td>\n",
              "      <td>0.481076</td>\n",
              "      <td>25.248865</td>\n",
              "      <td>23.324563</td>\n",
              "      <td>24.348134</td>\n",
              "      <td>23.240</td>\n",
              "      <td>3.145875</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14027</th>\n",
              "      <td>24.180</td>\n",
              "      <td>24.635714</td>\n",
              "      <td>24.293381</td>\n",
              "      <td>24.455756</td>\n",
              "      <td>24.417065</td>\n",
              "      <td>-0.038692</td>\n",
              "      <td>0.481803</td>\n",
              "      <td>25.256986</td>\n",
              "      <td>23.329775</td>\n",
              "      <td>24.236045</td>\n",
              "      <td>23.180</td>\n",
              "      <td>3.143290</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14028</th>\n",
              "      <td>24.570</td>\n",
              "      <td>24.610000</td>\n",
              "      <td>24.305905</td>\n",
              "      <td>24.464219</td>\n",
              "      <td>24.440593</td>\n",
              "      <td>-0.023626</td>\n",
              "      <td>0.465907</td>\n",
              "      <td>25.237720</td>\n",
              "      <td>23.374090</td>\n",
              "      <td>24.458682</td>\n",
              "      <td>23.570</td>\n",
              "      <td>3.159975</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14029</th>\n",
              "      <td>24.800</td>\n",
              "      <td>24.600000</td>\n",
              "      <td>24.301571</td>\n",
              "      <td>24.489092</td>\n",
              "      <td>24.495887</td>\n",
              "      <td>0.006795</td>\n",
              "      <td>0.477788</td>\n",
              "      <td>25.257148</td>\n",
              "      <td>23.345995</td>\n",
              "      <td>24.686227</td>\n",
              "      <td>23.800</td>\n",
              "      <td>3.169686</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14030</th>\n",
              "      <td>24.480</td>\n",
              "      <td>24.510000</td>\n",
              "      <td>24.299905</td>\n",
              "      <td>24.488418</td>\n",
              "      <td>24.493443</td>\n",
              "      <td>0.005024</td>\n",
              "      <td>0.471573</td>\n",
              "      <td>25.243051</td>\n",
              "      <td>23.356758</td>\n",
              "      <td>24.548742</td>\n",
              "      <td>23.480</td>\n",
              "      <td>3.156149</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14031</th>\n",
              "      <td>24.540</td>\n",
              "      <td>24.454286</td>\n",
              "      <td>24.293571</td>\n",
              "      <td>24.492239</td>\n",
              "      <td>24.500605</td>\n",
              "      <td>0.008366</td>\n",
              "      <td>0.459646</td>\n",
              "      <td>25.212864</td>\n",
              "      <td>23.374279</td>\n",
              "      <td>24.542914</td>\n",
              "      <td>23.540</td>\n",
              "      <td>3.158701</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14032</th>\n",
              "      <td>24.390</td>\n",
              "      <td>24.457143</td>\n",
              "      <td>24.322524</td>\n",
              "      <td>24.484666</td>\n",
              "      <td>24.483589</td>\n",
              "      <td>-0.001077</td>\n",
              "      <td>0.425893</td>\n",
              "      <td>25.174309</td>\n",
              "      <td>23.470738</td>\n",
              "      <td>24.440971</td>\n",
              "      <td>23.390</td>\n",
              "      <td>3.152309</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14033</th>\n",
              "      <td>23.430</td>\n",
              "      <td>24.341429</td>\n",
              "      <td>24.315190</td>\n",
              "      <td>24.406542</td>\n",
              "      <td>24.321498</td>\n",
              "      <td>-0.085044</td>\n",
              "      <td>0.431971</td>\n",
              "      <td>25.179132</td>\n",
              "      <td>23.451249</td>\n",
              "      <td>23.766990</td>\n",
              "      <td>22.430</td>\n",
              "      <td>3.110399</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14034</th>\n",
              "      <td>23.360</td>\n",
              "      <td>24.224286</td>\n",
              "      <td>24.309238</td>\n",
              "      <td>24.329021</td>\n",
              "      <td>24.173576</td>\n",
              "      <td>-0.155445</td>\n",
              "      <td>0.462626</td>\n",
              "      <td>25.234491</td>\n",
              "      <td>23.383985</td>\n",
              "      <td>23.495663</td>\n",
              "      <td>22.360</td>\n",
              "      <td>3.107274</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14035</th>\n",
              "      <td>23.070</td>\n",
              "      <td>24.010000</td>\n",
              "      <td>24.280524</td>\n",
              "      <td>24.235760</td>\n",
              "      <td>24.003795</td>\n",
              "      <td>-0.231965</td>\n",
              "      <td>0.534543</td>\n",
              "      <td>25.349609</td>\n",
              "      <td>23.211439</td>\n",
              "      <td>23.211888</td>\n",
              "      <td>22.070</td>\n",
              "      <td>3.094219</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14036</th>\n",
              "      <td>23.050</td>\n",
              "      <td>23.760000</td>\n",
              "      <td>24.241429</td>\n",
              "      <td>24.147926</td>\n",
              "      <td>23.857057</td>\n",
              "      <td>-0.290869</td>\n",
              "      <td>0.601226</td>\n",
              "      <td>25.443880</td>\n",
              "      <td>23.038977</td>\n",
              "      <td>23.103963</td>\n",
              "      <td>22.050</td>\n",
              "      <td>3.093313</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14037</th>\n",
              "      <td>22.980</td>\n",
              "      <td>23.545714</td>\n",
              "      <td>24.191905</td>\n",
              "      <td>24.061413</td>\n",
              "      <td>23.722125</td>\n",
              "      <td>-0.339288</td>\n",
              "      <td>0.662456</td>\n",
              "      <td>25.516816</td>\n",
              "      <td>22.866994</td>\n",
              "      <td>23.021321</td>\n",
              "      <td>21.980</td>\n",
              "      <td>3.090133</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14038</th>\n",
              "      <td>23.360</td>\n",
              "      <td>23.377143</td>\n",
              "      <td>24.164762</td>\n",
              "      <td>24.009456</td>\n",
              "      <td>23.666414</td>\n",
              "      <td>-0.343043</td>\n",
              "      <td>0.685435</td>\n",
              "      <td>25.535632</td>\n",
              "      <td>22.793892</td>\n",
              "      <td>23.247107</td>\n",
              "      <td>22.360</td>\n",
              "      <td>3.107274</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14039</th>\n",
              "      <td>23.190</td>\n",
              "      <td>23.205714</td>\n",
              "      <td>24.104286</td>\n",
              "      <td>23.948756</td>\n",
              "      <td>23.593119</td>\n",
              "      <td>-0.355637</td>\n",
              "      <td>0.717990</td>\n",
              "      <td>25.540267</td>\n",
              "      <td>22.668305</td>\n",
              "      <td>23.209036</td>\n",
              "      <td>22.190</td>\n",
              "      <td>3.099642</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14040</th>\n",
              "      <td>23.120</td>\n",
              "      <td>23.161429</td>\n",
              "      <td>24.052857</td>\n",
              "      <td>23.887367</td>\n",
              "      <td>23.520332</td>\n",
              "      <td>-0.367035</td>\n",
              "      <td>0.748103</td>\n",
              "      <td>25.549063</td>\n",
              "      <td>22.556652</td>\n",
              "      <td>23.149679</td>\n",
              "      <td>22.120</td>\n",
              "      <td>3.096482</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14041</th>\n",
              "      <td>23.580</td>\n",
              "      <td>23.192857</td>\n",
              "      <td>24.017619</td>\n",
              "      <td>23.864599</td>\n",
              "      <td>23.529511</td>\n",
              "      <td>-0.335087</td>\n",
              "      <td>0.735254</td>\n",
              "      <td>25.488128</td>\n",
              "      <td>22.547110</td>\n",
              "      <td>23.436560</td>\n",
              "      <td>22.580</td>\n",
              "      <td>3.117065</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14042</th>\n",
              "      <td>23.830</td>\n",
              "      <td>23.301429</td>\n",
              "      <td>23.973810</td>\n",
              "      <td>23.862036</td>\n",
              "      <td>23.575740</td>\n",
              "      <td>-0.286295</td>\n",
              "      <td>0.705235</td>\n",
              "      <td>25.384280</td>\n",
              "      <td>22.563339</td>\n",
              "      <td>23.698853</td>\n",
              "      <td>22.830</td>\n",
              "      <td>3.128075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14043</th>\n",
              "      <td>22.320</td>\n",
              "      <td>23.197143</td>\n",
              "      <td>23.852381</td>\n",
              "      <td>23.747811</td>\n",
              "      <td>23.382550</td>\n",
              "      <td>-0.365261</td>\n",
              "      <td>0.734657</td>\n",
              "      <td>25.321695</td>\n",
              "      <td>22.383067</td>\n",
              "      <td>22.779618</td>\n",
              "      <td>21.320</td>\n",
              "      <td>3.059646</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14044</th>\n",
              "      <td>21.890</td>\n",
              "      <td>23.041429</td>\n",
              "      <td>23.699048</td>\n",
              "      <td>23.610195</td>\n",
              "      <td>23.152927</td>\n",
              "      <td>-0.457269</td>\n",
              "      <td>0.798023</td>\n",
              "      <td>25.295094</td>\n",
              "      <td>22.103002</td>\n",
              "      <td>22.186539</td>\n",
              "      <td>20.890</td>\n",
              "      <td>3.039271</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14045</th>\n",
              "      <td>21.500</td>\n",
              "      <td>22.775714</td>\n",
              "      <td>23.535714</td>\n",
              "      <td>23.453885</td>\n",
              "      <td>22.898630</td>\n",
              "      <td>-0.555254</td>\n",
              "      <td>0.909612</td>\n",
              "      <td>25.354938</td>\n",
              "      <td>21.716491</td>\n",
              "      <td>21.728846</td>\n",
              "      <td>20.500</td>\n",
              "      <td>3.020425</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14046</th>\n",
              "      <td>21.320</td>\n",
              "      <td>22.508571</td>\n",
              "      <td>23.390476</td>\n",
              "      <td>23.295819</td>\n",
              "      <td>22.655764</td>\n",
              "      <td>-0.640055</td>\n",
              "      <td>1.012135</td>\n",
              "      <td>25.414746</td>\n",
              "      <td>21.366207</td>\n",
              "      <td>21.456282</td>\n",
              "      <td>20.320</td>\n",
              "      <td>3.011606</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14047</th>\n",
              "      <td>20.790</td>\n",
              "      <td>22.175714</td>\n",
              "      <td>23.226190</td>\n",
              "      <td>23.110203</td>\n",
              "      <td>22.368723</td>\n",
              "      <td>-0.741479</td>\n",
              "      <td>1.141109</td>\n",
              "      <td>25.508408</td>\n",
              "      <td>20.943973</td>\n",
              "      <td>21.012094</td>\n",
              "      <td>19.790</td>\n",
              "      <td>2.985177</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14048</th>\n",
              "      <td>20.410</td>\n",
              "      <td>21.722857</td>\n",
              "      <td>23.046667</td>\n",
              "      <td>22.910188</td>\n",
              "      <td>22.067381</td>\n",
              "      <td>-0.842806</td>\n",
              "      <td>1.248230</td>\n",
              "      <td>25.543127</td>\n",
              "      <td>20.550206</td>\n",
              "      <td>20.610698</td>\n",
              "      <td>19.410</td>\n",
              "      <td>2.965788</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14049</th>\n",
              "      <td>20.160</td>\n",
              "      <td>21.198571</td>\n",
              "      <td>22.836667</td>\n",
              "      <td>22.706470</td>\n",
              "      <td>21.773938</td>\n",
              "      <td>-0.932532</td>\n",
              "      <td>1.319467</td>\n",
              "      <td>25.475600</td>\n",
              "      <td>20.197733</td>\n",
              "      <td>20.310233</td>\n",
              "      <td>19.160</td>\n",
              "      <td>2.952825</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14050</th>\n",
              "      <td>20.020</td>\n",
              "      <td>20.870000</td>\n",
              "      <td>22.609048</td>\n",
              "      <td>22.507472</td>\n",
              "      <td>21.504101</td>\n",
              "      <td>-1.003371</td>\n",
              "      <td>1.384913</td>\n",
              "      <td>25.378874</td>\n",
              "      <td>19.839222</td>\n",
              "      <td>20.116744</td>\n",
              "      <td>19.020</td>\n",
              "      <td>2.945491</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14051</th>\n",
              "      <td>19.940</td>\n",
              "      <td>20.591429</td>\n",
              "      <td>22.392857</td>\n",
              "      <td>22.317289</td>\n",
              "      <td>21.263470</td>\n",
              "      <td>-1.053819</td>\n",
              "      <td>1.412692</td>\n",
              "      <td>25.218242</td>\n",
              "      <td>19.567472</td>\n",
              "      <td>19.998915</td>\n",
              "      <td>18.940</td>\n",
              "      <td>2.941276</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14052</th>\n",
              "      <td>20.140</td>\n",
              "      <td>20.397143</td>\n",
              "      <td>22.183333</td>\n",
              "      <td>22.156009</td>\n",
              "      <td>21.090629</td>\n",
              "      <td>-1.065380</td>\n",
              "      <td>1.399049</td>\n",
              "      <td>24.981431</td>\n",
              "      <td>19.385235</td>\n",
              "      <td>20.092972</td>\n",
              "      <td>19.140</td>\n",
              "      <td>2.951780</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14053</th>\n",
              "      <td>20.130</td>\n",
              "      <td>20.227143</td>\n",
              "      <td>21.980476</td>\n",
              "      <td>22.005934</td>\n",
              "      <td>20.942840</td>\n",
              "      <td>-1.063094</td>\n",
              "      <td>1.424942</td>\n",
              "      <td>24.830360</td>\n",
              "      <td>19.130593</td>\n",
              "      <td>20.117657</td>\n",
              "      <td>19.130</td>\n",
              "      <td>2.951258</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14054</th>\n",
              "      <td>20.210</td>\n",
              "      <td>20.144286</td>\n",
              "      <td>21.827143</td>\n",
              "      <td>21.872902</td>\n",
              "      <td>20.830095</td>\n",
              "      <td>-1.042806</td>\n",
              "      <td>1.430081</td>\n",
              "      <td>24.687305</td>\n",
              "      <td>18.966981</td>\n",
              "      <td>20.179219</td>\n",
              "      <td>19.210</td>\n",
              "      <td>2.955431</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14055</th>\n",
              "      <td>20.120</td>\n",
              "      <td>20.102857</td>\n",
              "      <td>21.672857</td>\n",
              "      <td>21.743057</td>\n",
              "      <td>20.720850</td>\n",
              "      <td>-1.022207</td>\n",
              "      <td>1.438929</td>\n",
              "      <td>24.550715</td>\n",
              "      <td>18.794999</td>\n",
              "      <td>20.139740</td>\n",
              "      <td>19.120</td>\n",
              "      <td>2.950735</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14056</th>\n",
              "      <td>19.990</td>\n",
              "      <td>20.078571</td>\n",
              "      <td>21.526190</td>\n",
              "      <td>21.613201</td>\n",
              "      <td>20.608411</td>\n",
              "      <td>-1.004790</td>\n",
              "      <td>1.439656</td>\n",
              "      <td>24.405503</td>\n",
              "      <td>18.646878</td>\n",
              "      <td>20.039913</td>\n",
              "      <td>18.990</td>\n",
              "      <td>2.943913</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14057</th>\n",
              "      <td>20.490</td>\n",
              "      <td>20.145714</td>\n",
              "      <td>21.404286</td>\n",
              "      <td>21.530001</td>\n",
              "      <td>20.590194</td>\n",
              "      <td>-0.939807</td>\n",
              "      <td>1.407691</td>\n",
              "      <td>24.219668</td>\n",
              "      <td>18.588903</td>\n",
              "      <td>20.339971</td>\n",
              "      <td>19.490</td>\n",
              "      <td>2.969902</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        Close        ma7       ma21  ...        ema  momentum  log_momentum\n",
              "14008  24.891  24.281714  24.669286  ...  24.672783    23.891      3.173502\n",
              "14009  24.515  24.346714  24.621190  ...  24.567594    23.515      3.157639\n",
              "14010  24.673  24.407429  24.587714  ...  24.637865    23.673      3.164335\n",
              "14011  23.782  24.343714  24.515095  ...  24.067288    22.782      3.125971\n",
              "14012  23.584  24.256000  24.425952  ...  23.745096    22.584      3.117242\n",
              "14013  23.485  24.176714  24.351429  ...  23.571699    22.485      3.112848\n",
              "14014  23.673  24.086143  24.290571  ...  23.639233    22.673      3.121175\n",
              "14015  23.871  23.940429  24.231619  ...  23.793744    22.871      3.129870\n",
              "14016  24.020  23.869714  24.190143  ...  23.944581    23.020      3.136363\n",
              "14017  23.930  23.763571  24.146238  ...  23.934860    22.930      3.132446\n",
              "14018  24.460  23.860429  24.144095  ...  24.284953    23.460      3.155297\n",
              "14019  24.200  23.948429  24.139000  ...  24.228318    23.200      3.144152\n",
              "14020  24.320  24.067714  24.142429  ...  24.289439    23.320      3.149311\n",
              "14021  24.750  24.221571  24.161143  ...  24.596480    23.750      3.167583\n",
              "14022  24.870  24.364286  24.195476  ...  24.778827    23.870      3.172622\n",
              "14023  25.110  24.520000  24.245476  ...  24.999609    24.110      3.182627\n",
              "14024  24.930  24.662857  24.277952  ...  24.953203    23.930      3.175133\n",
              "14025  24.370  24.650000  24.284714  ...  24.564401    23.370      3.151453\n",
              "14026  24.240  24.655714  24.286714  ...  24.348134    23.240      3.145875\n",
              "14027  24.180  24.635714  24.293381  ...  24.236045    23.180      3.143290\n",
              "14028  24.570  24.610000  24.305905  ...  24.458682    23.570      3.159975\n",
              "14029  24.800  24.600000  24.301571  ...  24.686227    23.800      3.169686\n",
              "14030  24.480  24.510000  24.299905  ...  24.548742    23.480      3.156149\n",
              "14031  24.540  24.454286  24.293571  ...  24.542914    23.540      3.158701\n",
              "14032  24.390  24.457143  24.322524  ...  24.440971    23.390      3.152309\n",
              "14033  23.430  24.341429  24.315190  ...  23.766990    22.430      3.110399\n",
              "14034  23.360  24.224286  24.309238  ...  23.495663    22.360      3.107274\n",
              "14035  23.070  24.010000  24.280524  ...  23.211888    22.070      3.094219\n",
              "14036  23.050  23.760000  24.241429  ...  23.103963    22.050      3.093313\n",
              "14037  22.980  23.545714  24.191905  ...  23.021321    21.980      3.090133\n",
              "14038  23.360  23.377143  24.164762  ...  23.247107    22.360      3.107274\n",
              "14039  23.190  23.205714  24.104286  ...  23.209036    22.190      3.099642\n",
              "14040  23.120  23.161429  24.052857  ...  23.149679    22.120      3.096482\n",
              "14041  23.580  23.192857  24.017619  ...  23.436560    22.580      3.117065\n",
              "14042  23.830  23.301429  23.973810  ...  23.698853    22.830      3.128075\n",
              "14043  22.320  23.197143  23.852381  ...  22.779618    21.320      3.059646\n",
              "14044  21.890  23.041429  23.699048  ...  22.186539    20.890      3.039271\n",
              "14045  21.500  22.775714  23.535714  ...  21.728846    20.500      3.020425\n",
              "14046  21.320  22.508571  23.390476  ...  21.456282    20.320      3.011606\n",
              "14047  20.790  22.175714  23.226190  ...  21.012094    19.790      2.985177\n",
              "14048  20.410  21.722857  23.046667  ...  20.610698    19.410      2.965788\n",
              "14049  20.160  21.198571  22.836667  ...  20.310233    19.160      2.952825\n",
              "14050  20.020  20.870000  22.609048  ...  20.116744    19.020      2.945491\n",
              "14051  19.940  20.591429  22.392857  ...  19.998915    18.940      2.941276\n",
              "14052  20.140  20.397143  22.183333  ...  20.092972    19.140      2.951780\n",
              "14053  20.130  20.227143  21.980476  ...  20.117657    19.130      2.951258\n",
              "14054  20.210  20.144286  21.827143  ...  20.179219    19.210      2.955431\n",
              "14055  20.120  20.102857  21.672857  ...  20.139740    19.120      2.950735\n",
              "14056  19.990  20.078571  21.526190  ...  20.039913    18.990      2.943913\n",
              "14057  20.490  20.145714  21.404286  ...  20.339971    19.490      2.969902\n",
              "\n",
              "[50 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8QbyVo-HSpfb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def plot_technical_indicators(dataset, last_days):\n",
        "    plt.figure(figsize=(16, 10), dpi=100)\n",
        "    shape_0 = dataset.shape[0]\n",
        "    xmacd_ = shape_0-last_days\n",
        "    \n",
        "    dataset = dataset.iloc[-last_days:, :]\n",
        "    x_ = range(3, dataset.shape[0])\n",
        "    x_ =list(dataset.index)\n",
        "    \n",
        "    # Plot first subplot\n",
        "    plt.subplot(2, 1, 1)\n",
        "    plt.plot(dataset['ma7'],label='MA 7', color='g',linestyle='--')\n",
        "    plt.plot(dataset['Close'],label='Closing Price', color='b')\n",
        "    plt.plot(dataset['ma21'],label='MA 21', color='r',linestyle='--')\n",
        "    plt.plot(dataset['upper_band'],label='Upper Band', color='c')\n",
        "    plt.plot(dataset['lower_band'],label='Lower Band', color='c')\n",
        "    plt.fill_between(x_, dataset['lower_band'], dataset['upper_band'], alpha=0.35)\n",
        "    plt.title('Technical indicators for General Electrics - last {} days.'.format(last_days))\n",
        "    plt.ylabel('USD')\n",
        "    plt.legend()\n",
        "\n",
        "    # Plot second subplot\n",
        "    plt.subplot(2, 1, 2)\n",
        "    plt.title('MACD')\n",
        "    plt.plot(dataset['MACD'],label='MACD', linestyle='-.')\n",
        "    plt.hlines(15, xmacd_, shape_0, colors='g', linestyles='--')\n",
        "    plt.hlines(-15, xmacd_, shape_0, colors='g', linestyles='--')\n",
        "    plt.plot(dataset['log_momentum'],label='Momentum', color='b',linestyle='-')\n",
        "\n",
        "    plt.legend()\n",
        "    plt.show()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PjnX3slcTBC-",
        "colab_type": "code",
        "outputId": "1756ca54-f8e6-4ef0-ddc1-c2a71603b5a9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 754
        }
      },
      "source": [
        "plot_technical_indicators(dataset_TI_df, 400)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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FzjnGmKpKKBE5qYb2TWmD/W9vgpJYYs36W1cFWfB1/zZcA7tr6inAQ8aYR4OWh+tCWlOybAPWl/re/FU5iIi0x6oQ21DDdtV3bnWBnWs/bheRe7HGpjyppvhrsQE4VUTiQqob+wWt3xU/YlUKXiwij4d2260lll29PhuAg0REQqq8+jY48rqdD7xjJ1sqY3TbMTaHyslEKhNUI7ASjUONMVXdcUXkypDt0rCu74FY4y3uNvuz4W3gbRGJBf6LNXHMWzVskoWV5Aq2pL7Ha+D7EGNMJvAK1qRV7bAmhrkPa9IraFhiuyvWuJfhkuSv2P8mYVXhLgZOEpF4U32SmMpJuSqv/zKs8TsPxUqiVp5PFNa4iB9Ru/re9wOwJq66whgzLeg4Nc0cPg24A+sz/kysKsjQIR0wxizFGhv0X3bX/vnAdVgTdSmllFKNQisblVJKqfA+whqj7YHQFSISISKVSYpvsLqfjreTF8HtmrOCD6yxuQR4KHRFUCyV1U8StC4BCE1yNIdvgQrgppBrdWs9tl2E1Q3z1qDXAqj9XGvZf7H9b2jy6asatrnd/ncWdRCRVmEWVyYuwnXFrMtXWPfmjSHLb8NKxITObF4v9rhxT2ElcJ+o4f4NXbY71+crrOqr86t2bo0ld019Y24APzvHfhPWdWw0InJKDasqx7as7Crrx3qtqo5vV92dG7LdZ1jdqB8M7Xa/K58v9liVVeyuxanUch8aY8oqK1uDHnUNcxCsXu9Du7t2tS69xphsrErB4PiKqf9wD/djzYge/Kj8TH/Kfl753v8E6/Wouv9ExIX12fg/Y8wmO6Z8rM+uUSISF3Ssy7CGIPi4jpjqe9+H+6wWrAlmdmKM+RNrxvuxWMnsGcYYX9C28SISWmiyFOv+cgW16yoi/VBKKaV2g1Y2KqWUUmEYY34QkdexkogHYyUVK7AquC7A+sL3iTGmQERuw6oK+k1EpmONkzYIa4bRK5ox5u9F5F3gZrtqaDbWD4vHAd9jzbj9DeAFvrDPLxare2M24bsFNmW820TkGWA81nh2X2FNenAm1ph6tW0bEJHrgS+AxSLyNlb3xn5Af6yKsQIR+S9wt4hEYnWnPB1rYplQC+1/J4jIDKzX+gtjzBIReQe4xk5q/gAcjvW6fmaM+b4ep/qgiByPlXjbgDXe5w3AZuCnemwf6gus13OCnaBaYp/X37AmzEmredM6PQEcgNV99XQR+dSOMwlrIo8LsO6VMoDdvD5vYiVMp4nIEKzX7zKgZDfir8mXwGUiko81/uFRWJXL2xv5OP8RkXSs1ygNiLGPMxz4zV4O1r1wOzDb/sxoB4zDSvxVjaFojEkVkQnYE82IyEysMScPw0rCjW9gfCtEZB7W/b4DqzrvfKzPhibRgPdhHLBZRD7BuqeLsK7dYVgVe5UWAheJyHNY17TIGPMFYRhjdnp/iUjlhE2/GWM+C2r7PxH5GHjcrqhMxbqPU4AxIbu5D2uilh9E5A2gsx3jN8aY2bVdD+p/36/CuoeeEZFOQAFWErG2qu9pwDP2f78Xsu5kYKJ9jmuwvgdehpXU/DSo3TTgBJp3uAullFL7GE02KqWUUjUwxlwnIguBa7HGuPIB67G+xM0PajdZRLKxZj19ACtRtYq/xkFsTldiVbeMAZ7G6hb7O9YXY4wxq0XkfKwx5J7B6iL5KlaXuyktEO/9WImr67C6FP8PKxFRZ8WgMeZru/v3Q1hf9B1YX87fDGp2KdZ4feOwvjx/g5XMzAjZ128i8oAdxxn2vrpjVT2NxeqGORqrEioLeJwws37X4HOshMVVWGNl5mAl5R4Kmsyk3uxE6zlY49FdhPWar8dKED5by6b12jdWUu5TrCT0TVjJjSKs7qP3AW+GTLaxS9fHGFNiVwK+bB+nBHgfqzKzroRNQ92ClVQZiTWJx3ysRNZO3Ux301ispO+FWNVrgnVtJgBPVlaaGWO+E5ExWJ8ZL2BV6d6DdZ9Um7DFGPOgncC8yd5PCdZ7PHSynvp4CTgH6z3mwkp+34/1WdGU6vM+LMHq2nw61riODqyE3w3GmFeD2r2C1V35Sqxq3g38lcTdXZcD/8RKwiVhXeez7bEuqxhjFonIqVhjKT6PVd0+mXokf+t73xtjKkRkONZrNh7rc/LfWInhmrqxv2/HlGaMWRCybgnW/T4c6GQfdwlwpjHmV5RSSqlGJDtPhKaUUkoppZRSam8iIm2wKiUfNcb8s6XjUUoptf/SMRuVUkoppZRSau83GmvcyV2pelVKKaUajXajVkoppZRSSqm9lIicjDVj+X1YY6Wub9mIlFJK7e+0G7VSSimllFJK7aXsSX+OxhqLdJQxZkvLRqSUUmp/p8lGpZRSSimllFJKKaVUo9AxG5VSSimllFJKKaWUUo1Ck41KKaWUUkoppZRSSqlGsc9PECMiAnQECls6FqWUUkoppZRSSiml9lJxQIapY0zGfT7ZiJVo3NzSQSillFJKKaWUUkoptZfrDNQ6Gdn+kGwsBNi0aRPx8fEtHYtSSimllFJKKaWUUnuVgoICunTpAvXoObw/JBsBiI+P12SjUkoppZRSSimllFJNSCeIUUoppZRSSimllFJKNQpNNiqllFJKKaWUUkoppRqFJhuVUkoppZRSSimllFKNYr8Zs1EppZRSSimllFJqf+b3+6moqGjpMNQeKDIyEqfT2Sj70mSjUkoppZRSSiml1D7MGENWVhZ5eXktHYragyUmJpKcnIyI7NZ+NNmolFJKKaWUUkoptQ+rTDS2a9eO6Ojo3U4mqX2LMYaSkhKys7MB6NChw27tT5ONSimllFJKKaWUUvsov99flWhs3bp1S4ej9lAejweA7Oxs2rVrt1tdqnWCGKWUUkoppZRSSql9VOUYjdHR0S0cidrTVd4juzuupyYblVJKKaWUUkoppfZx2nVa1aWx7hFNNiqllFJKKaWUUkoppRqFJhuVUkoppZRSSimllFKNQpONSql9gi8QYJvX29JhKKWUUkoppZRqJKNHj0ZEuO6663ZaN27cOESE0aNH77Tul19+wel0MmzYsHodR0TCPp5++undPYX9kiYblVJ7tVXFxdyTlkaXX38l+eef+TA7u6VDUkoppZRSSinVSLp06cKMGTMoLS2tWlZWVsb06dPp2rVr2G0mT57MTTfdxH//+18yMjLqPEZmZma1x5QpUxARRowY0WjnsT+JaOkAlFJqV2SUl3NnWhofhCQXr169mkPj4ujp8bRQZEoppZRSSimlGsshhxxCWloaM2fOZOTIkQDMnDmTrl270r17953aFxUV8eGHH/L777+TlZXF1KlTuffee2s9RnJycrXn//nPfzjppJPo0aNH453IfkQrG5VSe5WAMTy3aRN9Fyzgg+xsBDgsIoZ/RHfgAKebQr+fi1eswBsItHSoSimllFJKKbVHK/YW1/go85XVu21pRWmdbXfHVVddxdtvv131fMqUKVx55ZVh23700Uf069ePvn37MmrUKKZMmYIxpt7H2rp1K7NmzWLMmDG7FfP+TCsblVJ7DWMM49au5TW7DL6v0801nrb0jHAD0DPCxW2FG/m9sJD70tN5umfPlgxXKaWUUkoppfZosY/H1rjurN5nMevSWVXP2z3TjpKKkrBtT+h2AvNGz6t6nvJiCjklOdXamIfqn/ALNWrUKMaPH8+GDRsAmD9/PjNmzGDevHk7tZ08eTKjRo0C4IwzziA/P58ffviBE088sV7Heuedd4iLi+O8887b5Xj3d1rZqJTaa9yXns5rGRkIcI2nLY/Hdq5KNAK0dURyo6c9AM9s2sSSoqIWilQppZRSSimlVGNp27Ytw4YNY+rUqbz99tsMGzaMNm3a7NRu9erVLFiwgEsuuQSAiIgILrroIiZPnlzvY02ZMoWRI0fidrvrbqzC0spGpdRe4emNG3l840YArvO0Y6grIWy7I6NiOboilp8ripi4ZQtv9u3bnGEqpZRSSiml1F6jaHzNBRpOh7Pa8+w7a56M0yHVa9nW37J+t+IK56qrruLGG28EYNKkSWHbTJ48GZ/PR8eOHauWGWNwuVxMnDiRhITw3yMr/fjjj6xevZoPP/yw8QLfD2myUSm1x5uzYwd3r1sHwOXu1jUmGiud7Urk54oi3t+6lad69CApMrI5wlRKKaWUUkqpvUpMVEyLt62vM844A6/Xi4gwdOjQndb7fD6mTZvGs88+y+mnn15t3bnnnssHH3zAddddV+sxJk+ezJAhQxg0aFCjxr6/0WSjUmqPlu/zMWb1agDOiErgPHerOrc5wOkmxRHF+oCXt7OyuL1Ll6YOUymllFJKKaVUE3I6naxcubLqv0N9+eWX5ObmMmbMmJ0qGEeMGMHkyZNrTTYWFBTw8ccf8+yzzzZu4PuhFh2zUUSuF5E/RaTAfvwiImfa61qJyMsislpESkVko4i8JCK1lzQppfYpd6Smsqm8nGRHJKM9O4/JEY6IcJYrEYBJW7YQaMDMY0oppZRSSiml9kzx8fHEx8eHXTd58mROPfXUsF2lR4wYwe+//86ff/5Z475nzJiBMaZqvEe166Qh0383+sFFhgN+YC0gwBXAXcBg+/kjwFRgBdANeA340xhzfgOOEQ/k5+fn13hDKqX2TP+3fTtnLV2KAP+K7Uz/CE+9ty0zAcYUpFNsAswaMICzWrduukCVUkoppZRSag9VVlZGeno63bt310lPVK1qu1cKCgoqE7kJxpiC2vbTopWNxpgvjDFfGWPWGmPWGGPuA4qAI40xy4wxI+w2acaY74D7gOEiot2/ldrH5VZUMNbuPj3cldigRCOAWxycEmX9wPDyli2NHp9SSimllFJKKaV21qLJxmAi4hSRi4EY4JcamiUABcYYX/NFppRqCbelppLh9dLREclI965VJZ4ZlYAAs3fs4D85ObsdkzcQYHVJCYsLC/mjsJAlRUUU+vTjSCmllFJKKaWUqtTiFYIiMgAruejGqmr8uzFmRZh2bYAHgDfq2J8LcAUtimu8aJVSzeGLnBze2boVB3BzdHtcsmu/i3RwRjHclcjn5XlctWoViw89lC4N6Dawzevlqx07mLV9O38UFZFeWoo/TLuebjeD4+I4MTGR05KS6O3xICK7FLNSSimllFJKKbU3a/FkI7AaOBiravF84B0ROSE44WiPuzgLa+zGh+vY33jgoaYJVSnV1HZUVHDNmjUAnONKol8Du0+HuszdhuW+UtJ85YxcuZLvBg0iwrFz8tIYw9rSUn4tKOB/BQX8WlDAH0VFhI5q60bwiAMBfECB8ZNWVkZaWRmfbNsGQHe3m9HJyVyVnExnHRNFKaWUUkoppdR+pEUniAlHRL4F0owx19rP44CvgRLgbGNMWR3bh6ts3KwTxCi1d7hi5Uqmbd1KZ0ckz8V1JWoXqxqDZfq93Fa4kTIMN3TsyNM9exLtdGKM4Yvt23ktI4NfCwrIDdMluofTxWERMfSP8NDZGUWSOKtVLRYE/KT7y1njL2OJr4RVvlIq9+IA/t6mDZP69KF9VNRun4dSSimllFJKNZROEKPqq7EmiNkTKhtDObCThXZF49dAOXBOXYlGAGNMud0eex9NFKZSqrEtLCxk2tatCHBzdHKjJBrB6k59fXQ7ni/ZyisZGXyxfTv/6NqVT7Zt4/u8vKp2UQg9nS76RLjp43TTL8JDa0ftH5PxDieDHNEMiozmAlpRZgL8r6KIb8oLWO4v5dOcHOYXFPDeAQdwSlJSo5yPUkoppZRSSim1p2rRZKOIPA78H7ARqwLxUuBEYKidaPwGiAZGAfH2MoBtxphwQ6cppfZSxhjuTksD4PjIOPpENO4vbidExROJ8HZpDpvKyxm3di0AkQhnuxI5JjKWFKeLiN38gcItDk6IiueEqHjS/eU8X5zFRq+X05YsYUL37ozv1q0xTkcppZRSSimllNojtXRlYztgGtAByAf+BIYaY+aIyInAEXa71JDtugPrmylGpVQz+HrHDr7LyyMC4dJdnH26LkdHxTEkMobPynP5qjyfgREeRrnb0N4Z2STH6+508XRcF94q3cYcbwH3pqfTw+PhonbtmuR4SimllFJKKaVUS2vRZKMxZkwt6+YB2gdaqf2A3xjuWTzmOb0AACAASURBVLcOgLNcCU2W/ANwiYOL3K25qIkSmuGONy66PXHiZGZ5LmNXr2ZgTAwHxMQ0y/GVUkoppZRSSqnm1DgDoiml1G54f+tW/iwuJkYcnO9q1dLhNImR7tYMiPBQ5PczYvlyisJMRqOUUvsSYwxf5OTwzMaNzM3NJV8/95RSSinVRESEzz77rFH29fDDD3PwwQc3yr6awoknnsitt97a0mHUSpONSqkWtaOigrvssRpHuJKIdzjDtistFvx78UitThHuiE6mlThZWVLCTamho0MopdS+Y35+Psf88QfnLFvGXevWceqSJST99BOHLVzIpC1b2FFR0dIhKqWUUmovkZWVxU033USPHj1wuVx06dKF4cOHM3fu3CY53p133tlk+w728MMPIyKICBEREaSkpHDbbbdRVFRU63YzZ87kn//8Z5PHtztaesxGpdR+7s60NLIrKujiiGK4KxFjIDvTyYpFUaz4w8XGtZFkbHJSmOekd38vj76egyfGtHTYuyTREcGdMR24r2gzU7OyGNuhA8ckJLR0WEop1agmbNjA/enpALgQBkZEszFQztaAj98LC/m9sJDbU1MZHBtLV7ebbm43g2JiODw+nl4eD47dnKhLKaWUUvuO9evXc8wxx5CYmMjTTz/NgAEDqKio4Ouvv2bcuHGsWrWq0Y8ZGxtLbGxso+83nP79+/Ptt9/i8/mYP38+V111FSUlJbz++us7tfV6vURFRdGq1Z7fG1ArG5VSLWZubi5vZ2UhwLjodkSKg9cmJHLtsGRefKAVc2bGsHppFIV5VrXj2uVRPHV3K3x7cUHMgREeTomKB+DGtWvxm70zcaqUUuFsKCvj0fXrATg1Kp5X41O4L7Yjr8d35+347oz1tCXFEYXXGP5XWMjH27bxzKZNXLZqFX0XLCDpp584cMECTlq8mKtWrWLW9u1UBAIte1JKKaWUajE33HADIsKCBQsYMWIEffr0oX///tx+++38+uuvNW63dOlSTj75ZDweD61bt+aaa66pVjE4b948Dj/8cGJiYkhMTOSYY45hw4YNwM7dqEePHs25557LM888Q4cOHWjdujXjxo2jIqinRmZmJsOGDcPj8dC9e3emT59OSkoKL7zwQq3nFxERQXJyMp07d+aiiy5i5MiRfP7559XieOutt+jevTtutxvYuRt1eXk599xzD126dMHlctGrVy8mT55ctX7ZsmWceeaZxMbG0r59ey677DJycnLqc/l3mVY2KqVaRInfz7WrVwNwZlQC/SI8rFwcxdefxiBi6H1QBQcOLqdX/wo6dvNRWiw8Oq41f/zs5pV/JXLTw3nsrcUvo9yt+aWiiMVFRbyZkcF1nTq1dEhKKdUoHl6/Hq8xDIzwcGN0+2rrkhwRnO1K5GxXIpv85WzxV7DNVJDlryDNX846fzkFfj8FJSWsLClhHvB2VhZtIiO5vH17HkxJISFC/3RVSimlGoMxUFLS/MeNjqbe3+N27NjB7NmzmTBhAjFhJthMTEwMu11xcTFDhw7lqKOO4rfffiM7O5uxY8dy4403MnXqVHw+H+eeey5XX301H3zwAV6vlwULFiC1BPb999/ToUMHvv/+e1JTU7nooos4+OCDufrqqwG4/PLLycnJYd68eURGRnL77beTnZ1dvxMN4vF48Hq9Vc9TU1P59NNPmTlzJk5n+CHHLr/8cn755RdeeuklBg0aRHp6elUyMS8vj5NPPpmxY8fy/PPPU1payj333MOFF17Id9991+D46kv/YlNKtYgH0tNJKyujtUQwytMaY+C9l62Kv1PPLWHcg3k7bXPXUzt47LbWfPd5DMmd/Vx4dWFzh90oEh0RXOJuzVul27gvPZ0L2rWjdWTTzcCtlFLNYUVxMdOysgAY5W5Ta9suThddnK5qy3zGkBnwsiPgJ8/4WOsr58eKQnIqKnhu82Y+yM5mYu/enNe2bZOdg1JKKbW/KCmBZuopXE1REYTJG4aVmpqKMYZ+/fo16BjTp0+nrKyMadOmVSUpJ06cyPDhw3nyySeJjIwkPz+fs88+m549ewJwwAEH1LrPpKQkJk6ciNPppF+/fgwbNoy5c+dy9dVXs2rVKr799lt+++03Dj30UADeeustevfu3aC4Fy5cyPTp0zn55JOrlnm9XqZNm0bbGv7+WbNmDR999BFz5szh1FNPBaBHjx5V6ydOnMjgwYN57LHHqpZNmTKFLl26sGbNGvr06dOgGOtLu1ErpZrdj3l5PL95MwDXR7cjWpz88bOL5YtcREYZLrwmfBLx0OPKue5eKwk54/U41iyNJK9sGzPXvkJm8frmCr9RnBmVQDdHFDt8PibY5fpKKQVQ4PPxY14e8/Pz+V9BARnl5S0dUr3cn55OADgyMoY+Ee4Gbx8hQheni0GR0ZwQFc/Y6LZMie/OfTEd6OiIJNPrZcTy5Zy3bNlec02UUkoptevMLg45tXLlSgYNGlStGvKYY44hEAiwevVqWrVqxejRoxk6dCjDhw/nxRdfJDMzs9Z99u/fv1plYYcOHaoqF1evXk1ERASHHHJI1fpevXqRlJRUZ6xLly4lNjYWj8fD4YcfzlFHHcXEiROr1nfr1q3GRCPA4sWLcTqdnHDCCWHXL1myhO+//75qHMrY2Niq5G2aPVFrU9DKRqVUsyr2+7ly1SoMcEpUPIdGxhAIwHsTrarGMy8opm1yzdNO9z7ld45ecDg/f53AC/e34swn3mXamseYtuIxeicO4pZDXqRzXK9mOptd5xThCk8bHi3O4PWMDO7r1k2rG5Xaz60oLmbSli28k5VFcdA4hU5gbIcOPJySQrLLxaayMv6bn0+ez4ffGAQ4KTGRg1qiPMH2U14e/87JwQGMdLdutP06RTgsMpZBEdF8VLaDf5fn8u+cHObm5vJkjx5c07GjTiijlFJK7YLoaKvKsCWOW1+9e/dGRJpkEpi3336bm2++mdmzZ/Phhx9y//33M2fOHI488siw7SNDvquJCIFGGFe6b9++fP7550RERNCxY0eioqKqrQ/XfTyYx+OpdX1RUVFVRWeoDh06NDzgetJko1KqWd2TlkZaWRltJIKrPFY3u1/mulm3Kgp3dIARV4Wvaiz1FfPBqmf5ct1kTj33Blr/8TwZGyNY/P7ZDDrrPyzN+Zm1eUt46OdLeOK4z2gbveePgzg4IpruThfp/nImbtnCQykpLR2SUqoFbCor4660ND7ctq1qWWuJwCVChTFsMz5ez8zkva1b6ehysba0NOx+Do2L48rkZEa1b098M45tOH3rVq62x+A9ITJup+7RjSFKHIzytOHYqDgmlWxlrb+c69eu5T/btzPjwAN1LEellFKqgUTq3525pbRq1YqhQ4cyadIkbr755p0Sb3l5eWHHbTzggAOYOnUqxcXFVdvMnz8fh8NB3759q9oNHjyYwYMHM378eI466iimT59eY7KxNn379sXn8/HHH38wZMgQwOoCnpubW+e2UVFR9Oq168UyAwYMIBAI8MMPP1R1ow52yCGH8Omnn5KSkkJEM/69pH+ZKaWazeTMTCZlZABwY3Q7YsRJIAAfvm5VNf5tVBEJrXb+dWhN7h88/dt1bCvdAkBJxAZufGQ7j1zfjoWz+vLI2TO55bQNPPjzxWwuSuWhny/hseNmkuiqfcywliYijHAl8UxJFi9v3sydXboQU8Ogv0qpfU+p38/TmzbxxMaNlAYCCHB4ZAzDohIZEOGpGqR8ua+Ud0pzWOMvY21pKQ6gp9NFW0ckDqDEBFjiK+H3wkJ+LyzknnXruLx9e85t04YMr5fU0lK8gQCdXS66uFyUBAKkl5WxvqyMcvu4DhEEEMDlcNDT46GPx8Og2Fi6unfuEr29ooIVxcV8kJ3Nq/bn+sER0YzxNO14iilOF0/EduErbx7vlm5n9o4dHLNoEV8OGEBKHb/sK6WUUmrvM2nSJI455hgOP/xwHn30UQYOHIjP52POnDm8+uqrrFy5cqdtRo4cyUMPPcQVV1zBww8/zLZt27jpppu47LLLaN++Penp6bzxxhucc845dOzYkdWrV7N27Vouv/zyXYqxX79+nHrqqVxzzTW8+uqrREZGcscdd+DxeGqddKYxpKSkcMUVV3DVVVdVTRCzYcMGsrOzufDCCxk3bhxvvvkml1xyCXfffTetWrUiNTWVGTNm8NZbb9U46czu0mSjUqrJGWN4fONG7ktPB+AcVyIHR1q/MP36nZuNaZFExwYYPmrnOv45Gz7g9T/vwxfw0i66C9cM/BeHtj8FqGDoiGK+/jSGbz+L5o4jk3no6Onc++PfyShexyO/jOSJYz/DFbFnf/k8KjKWZEckWb4KJmdmcnPnzi0dklKqiRlj+HTbNu5MS2ODPfbggU43Yz3t6BGxc1Vg/wgPT8Z2ZqmvlHICHBjhIUaq/2GYH/Dx34pCvi4vYLPfyysZGbxiJwF319CkJG7s1Ik2kZF8uG0bM7dtY2PImIkXuFpxsbsVzmbo0uwUYbgriQOdHiYUZ7C8pIQjFi3is4MO4qiEhCY/vlJKKaWaT48ePVi0aBETJkzgjjvuIDMzk7Zt2zJkyBBeffXVsNtER0fz9ddfc8stt3DYYYcRHR3NiBEjeO6556rWr1q1infeeYft27fToUMHxo0bx7XXXrvLcU6bNo0xY8Zw/PHHk5yczOOPP87y5ctxh/nRtrG9+uqr3Hvvvdxwww1s376drl27cu+99wLQsWNH5s+fzz333MPpp59OeXk53bp144wzzsDhaLppXGRXB9zcW4hIPJCfn59PfHx8S4ej1H7HGMOtqam8tMWqShzhSmKUuzUigjFw28VtWb8miguvLuDSGwqrbffm0gf4Kn0qAEckD+WWQ14gOjKuqs3S36N44Oq2JLXxM+WbLEQgo2gd4386jyiHmwePnEaX+KaZXasxfV2ez6ul2XRxuUg74ggim/BDX6l9RZnfz8QtW3g9M5OKQIBop5M4p5Nubjc93G6GxMUxom3bPWI8P78fLroIfD547I1ybspYyXd51mRXbSSC0Z42HBMZ2yi/fBtjWOor5StvHhv8Xto6IujgiCQSBzmmgu0BH1E4aO+MoJ0jEhcODNbfgsZ+lJsAmYEKtgQqWO8vp6a/FNtKBF2dUZzpSuTQyJbph7U94GNCcQbr/OW4RJjarx8Xt2/fIrEopZRSe6qysjLS09Pp3r17syS/FGzevJkuXbrw7bffcsopp7R0OPVW271SUFBAgvXDboIxpqC2/Whlo1KqSb24eTMvbdmCAGM8bTnb9deYGr/94Gb9GmusxuEjq1c1bilK47uNHyEIl/a7ixF9bsQh1ZNwfQ7yEhFpyM1xkrExgk7dfHSM7cEjR02nfUw3PBF7+CAktpOi4vigbDubysv5MDubUcnJLR2SUnssYwzvbd3KfenpbAozI/GCwr9+tBiTnMwbffu2eMLxm2/g00+BfgXM+mUZvgQvUQh/dyVxnjsJlzTeDwwiwsDIaAZGNmD09Vpk+SuY7c3jW28BPmM4LDKGY6PiGBgRjacR495VrR0RTIjtzPPFWSzwFXPJypWsKS3lgW7dmrzbklJKKaVUpe+++46ioiIGDBhAZmYmd999NykpKRx//PEtHVqL0GSjUqrJ/JSXx13r1gE7JxqNgY/etKoUh11UTFxC9dqZznG9eOzYmWwsXM2JXUaE3b/LDX0HeFm+yMXyhVF06uYDICXhwKY4nSYTJQ7OciUyvWw7E7ds0WSjUrV4ecsWbklNBayqwIvdrejqdFFuAhSbANmBCjYHvHzrLWByVhY+Y5jcr1+zdO+tyZtvAqduhbtW4YsyODdHc09sB4akVE/WZWc42bQugs3pkQQCcPYlRURGhd9nc0l2RjLa05bL3W0w0KLXsSYecXBPTAfeLcvhs/I8Hlq/njUlJbzVty9uHQdXKaWUUs2goqKCe++9l3Xr1hEXF8fRRx/N+++/v9Ms1vsLTTYqpZrEVq+XC1eswGcMx0XGMiyq+jhac/4dTeqKKFzuAOcEjdUYMIGqCsYeiQfRI/GgWo/Tf0g5yxe5WPa7i9PPK6m2LmACzNkwnSJvHiP63NhIZ9Y0To+K56Oy7fyvsJCFhYUMiYureyOl9jPf5+Zyu51oPM+VxMXuVkTVUF03MCKa50qyeGfrVvzAtH79WqTSLTMTPvNlwH1rAHD90Yry+w/k8QonZ11UxPlXFbHqzyhmvh3LqiXVx2sszHNw+S0FrMtfTn75Nrz+cjrF9qRz3K7PWLirWro6tC5OEUZ72tLJEcVrpdm8n51NelkZnx10EG2jWjhjq5RSSql93tChQxk6dGhLh7HHaPn+L0qpfY4xhpErVpDp9dLFEcUN0e2rvuR7y+G1CQm88s8kAM6+pLhqBuodpVncPu8MVu1YWO9jHXSo1Y1y+UIXoUPQLsv5hVeX/IPpq55hS9G6RjizppPoiOBoezzKSfb4lkqpv6wvLeWC5cvxAydExnGZu3WNiUaAY6PiuDM6GSfw3tatvL91a7PFGuzGWZmY261E49lRibw2qA0HD/LhqxA+fy+O0acl89itrVm1xIUzwtC1VwWDjy4G4LN3Y0lbGcm05Y/xyC+jeHzBGG787kQe+WUki7P/y74+7vauOM2VwIMxnYgRBz8XFHDEokVsCdPdXimllFJKNR1NNiqlGt2M7Gzm5uXhQrgnpgMeceAthx9ne7jnirbM/iQWEWNNCjPOGle2IuDlyd+uZX3BCt5a+mC9v0T3HVBBRIRhe7aTrE3Vu8sNbHsMQ9qfjN/4eHfFY41+no3tLJdV/flBdjbbKypaOBql9hxFPh9/X76c7T4fPZwubohuV68qxaOj4rjE3RqAO9LSyGum91WBz8d3ubncm7aOmT1WAzBoSxvGeNqQ1Mrw0KTtPDQph5TeFQT8QnRsgPNGF/LmV1mc//wbbDn3AA45KYeAX5j0aCLJnp50T+hPj4QBOHDwR/YPPPzLpYz+ejCvLvlHtWOX+0ub5Rz3ZIMio3kytgvJjkjSy8o4d9kySv3+lg5LKaWUUmq/od2olVKNqtjv5660NAD6LUvmm1/bkrvdwaL5booLrd834hL93PavXA455q9qk8lLH2J17kJiIhO4Y8jEend3dHkMvQd4WfmHi2ULXXToWr0r9egD7+eP7B/4NXM2y3N+pX+bIxvpTBtfX6eb7k4X6f5ypmRmclfXri0dklItzhcIcNGKFSwuKiJBnIyP6dCgCVX+5kpinreAzRUV3J+ezsQ+uzdDvd8Y1pSUsKioiOXFxSRGRNDD7SYpMpIf8vL4vx07WFhY+NcMzg6ImNWB8X+PpfJjTQQGH13OwCOyWbM0iq49K4iJM3y7YQaTFt+FwXDo+c8Qu/Ax1q2KYvCPL3DZkHIK8x3E9VrPQv9E5m78kPzyHIq8+QCUl0FBvjBuzlkM7NWN01NGMqTdSTgd++efep2dUTwS04k7izbye2EhY1ev5r0DDtBJY5RSSimlmoHs611wRCQeyM/Pzyc+Pr6lw1Fqn/dAejr/2rAB2erCXH44eP+qNmyT7OPk4SWccUExrdoGqpbP2fABkxbfhSDcd+RUDm1/SoOO+f6kOD5+K54ThpVw279yd1r/2pLxzF7/Lr0SB/HU8V/sNKv1nmROeT6TSrPp7naz9ogj9sjJGJRqLsYYbli7ltcyMohC+FdsZ/pEuBu8nz8rSniweAsOYMGQIQ0eE/W73Fz+nZPDosJCFhcVURII1LlNO0cEvqXx7PiqLWfGxXLtPwpqbOsLVPDxmhf5cPULAJyRchnXDJzA91/E8vJDSdXaOiMM143P44S/7SA1dxm/ftaH79/rS2F+0OfaWTfA4a+S5GrPUR3P4MgOZ9G/9RH7ZeJxaUUJDxdvwQ883r07/+jWraVDUkoppZpdWVkZ6enpdO/eHbe74X9Lqf1HbfdKQUEBCQkJAAnGmJr/uEUrG5VSjWh9aSlPb9wIgJnUi8Q4OGl4IXEJAXr2q+Cgw8oJnRh0Te4fvP7nfQBc0u/OBicaAQ4a4uXjt2D5wiiMgdD83MV9b2feppmk5i3hx82fcUKX83bp/JrD8VFxvFOWQ3pZGXN27OCM1q1bOiSlWswzmzbxWkYGAtwenbxLiUaAgZHRHBcZy48VRfx92TJu7tSJy5OTaVePiUOe3biJO9elVVvmQujudJHidFFqAmQFKsgzPno53RwSEcPgyGiWfxPHs+NbATD0o5rHi1xfsJKXFt3GuvxlAJzT82qu7P8gIsLJw0tYsSiKxb+6iE+0Epzpq6OY9M8kNqRGsjGtE38u+OuaOByGQEBwzHkRT8+l5Lb+ia/WvcOa+Z/QtzCOv/c6lwFxB+P0luMsL8Ph9ZJ70MHkHTTY2r6slIRVy6lISMSbkEhFXAImeAbF4A9YYyAQYKcP9T3MgMhoxnra8nrpNu5NT+fohASOT0xs6bCUUkoppfZpmmxUSjUKYww3p6ZSbgzx6fEU/NiGU64s4rKba/7BI688hycXXIMv4OWI5KGc3+emXTp230FenBGGnKwIsjOctO9UfWyuRHdbRvS5kfdXPsl7K5/i2E7n7LEVPi5xcHxkHF9583k7K2ufSjZur6jg5/x8FhYWsrS4GJ8xuBwOnCJs9XrZUl5OSSDAUfHxnJyYyNBWreju8bR02KqFLCkqYvw6a2KnMZ62HBkVu1v7u9LTluW+UjaVl3PXunWMT0/norZtGd+tG/1jYnZqHzCGaxamMblos7VgbjsOd0czaqihkzOy1qrjTesimPSoldC6YGwBKb19YdttLkzlznln4TMVxEUmcs3ACRzb6Zyqrr4icNPDeVXtjYEP34hjxmvxfPmBdT1c7gBX3p7P8WeW4o42PH5LEkt/EpJmzeXGZz+mdOI8Xpz7FlAMvLZTDL9ffQ3b+w/EKU5iNq3n+CvPrbbeH+WqOviqG+4kdfQNAHgyt3Dq346ltH1Hso85ifQLr6Cw5+51UW8qZ7oSWesv4ztvIaNWruTPQw8lMTiJqpRSSimlGtWe+W1bKbXXeSMzky+2b8cJlDzeBxCOO6Ok1m1cDjd9kgazqTCGWw55YZe7N7s9ht79vaxa4mLJ/1ycft7Oxz2n51jW56/g3F7X4nRE4MncQtKfC5GAny1n/r2qXeuFv+J3uynu1I2KhMSdyySbwSlR8XzlzeeznBxyKypI2ge+FM/evp3zly+nuB7dTz/eto2Pt20D4LSkJG7s1IlhrVtrl/L9iN8Yrl69Gj9wVGQsZ7t2vxKtlSOCifHd+MlbxBxvPmv95byfnc372dmc26YNT/XoQe/oaAC8gQDHzVrFgrhsABxv9CDwQRcWICT9Ucw14/OghoK+slLhqbtaUVbqYMDhZVx8XSEAuWXZ/JY1hzJ/Kef0HAtAx9geJLnbkZJwINcPeoJW7va1noMIXHxtIR27+njln4l0613BP25dxQF5C0l8ZwlJy5fw49LFPBV9Jw+uu5+pN16EbDmZJ3mXVHpR7vTQsZ8TZ5yLtLJUNnkzeL/wDb76ciodYlI4r/hADunQnujCUqKKrB+KnN6/xtaNyttR9d+erC04fD5itmyk+0fv0P2jd9h2+LEsvethCnv127UXqQld7WnHCl8Zm8rLuX7tWqbr+I1KKaWUUk1Gx2xUSu22FcXFHLpwIaWBAMemdeSnsX3o0qOClz7JrjNXZ4yhwLuDBNfuVfB9/FYs709K4NDjyrj/pe01tmu1+Dd6T5lI8o9zASjq2p25//mxav3Jfz+BuPVWl8mKmFhKOnWluHNXilJ6kXvQYLJOGrpbcdaHMYbbCjeyPuBlUu/e3NCpU5Mfsyl9nJ3NyJUrqTCGZEckB9gT4bjFgRdDwBgSHE5aSQQisNxXyp8Vpazwl1ZNstHD7eaBbt0Y1b49EY49d8xN1The2LSJ29LSiBEHL8d1o1UTVCKn+sr4tDyXXyuKMECc08mUvn0Z2qoVwxYu58fSXPAJXWb24N4zIvlzgYvXHkvEGOGUvxVXqzgMNvmZBL54P5akNn6en5GNicni07UTmb3+PXwBL3FRSUw9YzFOsbKV+eXbG/z5596awYFPP0qbpb/jyc7aaf3qAUPpt3Q2YI3xeMmVOfw0L5H1ayPp2rOCx9/exnfZbzJ344dsLkzFZyqgoAPEZYJAa3cHXjh2Fq0qIokoKQYRjAi+mFh8cfbfUn4/7u3ZxK9ZScrM90n+YQ4SCOCLjmHhhJfJOvH0Bp1Tc1jjK+MfRZsIAO/268eo5OSWDkkppZRqFnvzmI2jR4/mnXfe4dprr+W116r30hg3bhyvvPIKV1xxBVOnTq227pdffuHYY4/ljDPOYNasWbUeo6Kigvvvv5+vvvqKdevWkZCQwKmnnsoTTzxBx44dq9pNmDCBWbNmsXjxYqKiosjLC//34N6sscZs1GSjUmq3lPn9HLloEUuKizk4IhpzzwCW/Ozh0hsKuPDqwp3al/tLmZ3+Lmf3HFP1ZbsxbEyL4Obz2xMZZZj2XSaemOqfbTEb1jHoX/fQ9vdfADAi5PcbwI6Bg1l616NV444ddd0lxKWvDfsFPr/3Acz7aE7V85SPppHf50ByBx4CjZwA+7wslyllORwaF8dvQ4Y06r6b05TMTK5evZoAcFxkLDdHJxNZz2qirf4KZnvz+dabT6GxKiJ7eTw80K0bl7Zrp0nHfdSGsjL6L1hAcSDA9Z52DHUlNOnxNvm9vFqylRX+MgA6RUWxxeuFUgddp/Xlxbt9VT+azJ/j5tl/tCIQEB6bso0DB3ur7csYGDM0mR3bnFz3+Eq2dHqOrze8h9fed6/EQRyefDp/63kNrogGDBFgDK4dOZS3bguAs7SUoacPIbKoAONwUNijN7n9DybvwEHk9R9Eft/+fPlJAgt/cnPp9QX06l/Btiwn91zelh3bnPQdWM4dj+fSrqOfouIALz7k4be5bUjoG6d0bgAAIABJREFUvZyyM6+gU3cvz534f1WH/3bDDDrG9qBv0iE1DkHhydjM4Idvp+1vP+N3uZjz5S//z955hkdRtWH4nu272fReCIQWeu+KoAiCBVBEBVERbCgidj6wd1TsFUUQFBQVLBSVroIIoZcQCJCQ3neT3Wydme/HhkBIAgECRJz7uvZKmTNnzmw2M2ee87zviyssou7neJ741lnEAmcxAWo1yT16EKPXX+ghKSgoKCgonHP+7WLj6tWrKS0tJScnB2NFmiWn00l0dDQBAQFcfvnl1cTGu+66C7PZzKxZs0hJSakiGp6I1Wrlxhtv5O6776Zjx46UlJTw0EMPIYoiSUlJle2effZZgoKCyMzMZNasWYrYeBIUsVFBQeGseDg1lXcyMwkU1DwvNuGRQXFIosDHP+USHV81d6LNY+XVf8azp2gj1zYdz13tn6+3ccgy3D8skpwMDU+8XkSfgc7KbdErl9LlmYfROMqRNFpWXdqMyZ0OM+GGX2nk36LG/lQuJ6bsTEyZ6fhlphNwIBlHVCz775kMgODxcM2lrVC7XZRHxZI16FqyrhqGtXX7egm9tkpexpUeRgR2detGO/PZ5au7ECwtKuK6XbuQgat0AdxjjDijUGinLLHcZWWxq4RS2feZamk08kyTJtwScWZ9KjRMRFnmqh07WGWx0EZt4CVzHKrz8PcVZZmvnUUsclVUsy/RwpT2vPyki7ZdqgqKH74YxIpFfiS2d/PalwUIgs+NLMpectKMPDgiErXOg/h4AGh916HE4K6Mbv04HcIuqXPorrbUQuiWfwhL2kDUHyuRBcHnwq7YP3rVMtxBIVhat0c0Vc85WROHUrRMGx+Gw67C6Cdx8z1lrPzRRObhY6ka1BqZgaOyuOoaLfHNvXjkcsYsb4dXchOoD2Ng/CiuSriNcGP1Cbvg8dD+9Wco6dCVjOturNOYzjeiLDPFlsEB0cX1YWEsatfuQg9JQUFBQUHhnPNvFxstFgsHDx5kypQp3HrrrQDMnz+f6dOnk5CQQFBQUBWx0WazER0dTVJSEs8++ywdOnRg6tSpp3XczZs306NHD9LT04mPj6+ybc6cOUyePFkRG0+CYgtRUFA4Y5YXFfFOpq94woOmSPau8EcSBZq3cVcTGnPt6Uz5Yzh7ijZi0vjTO+bqeh2LIEDPyx0A/LO2qmOoPK4xKo+Hgm69WfnTnzx1S2P2Brn4cs9LtfYn6Q3YEpqT33cAh0eNY8czb1QKjQAah53sAUPwmvww5WbRYu6n9L/1agYMu5TWH0zHfDj1rM4nUKWhu9YnIMzOre6ybOjssdsZtXcvMjBQF8B9Zyg0AhgEFdcbgvk0oAm3G0LxF1TsdzgYk5xMu82bWZCXh3iRL5z9V3gxLY1VFgt6BO43RZ4XoTE9VcNT48PRfpnAE5oYoneGw8TOdA7TVRMaAUbdW4pOL5GyS8ekD9/nrt97MPKXpvx8cCY7/vG55Fp0sKPSeegScTnP9v6K1/r+SMfwS08pNIZu2UjbGS/Qb9RghvRvT89HxtNs/iz8MtMx5udgzMmqbJsz4GqKuvaqs9AI0DTRw1sL8mndyYXDrmLO24FkHtYSEi7y5JtFdLvMgegV+HVeHA/fEsmtfaN5dXI4nVTj8NcFY3UV8v2B97n39148t+FWlh6aTZEjp7J/Watl57RXqwiNIds2Eb1iiW9FqAGgFgQeMEWiBhYXFvJDRX5YBQUFBQWF/yx2e+0vp7PubR2OU7c9C8aNG8fs2bMrf/7iiy+48847a2y7cOFCWrVqRWJiImPGjOGLL77gdI12VqsVQRAICjr73OH/RRSxUUFB4YzIc7sZu28fAFdrAylYHMHXH/rcw30HV73RJBdt5ok/riPTdoBQQxQvXfo9bUN71vuYel7uuxnuWCcQsv5YHkZrq3b8OXsRGz75BkdMHHe0nYZa0JCUt4odBX+d0bE8AUFsfeUDlq/azqY3Z5I18Fq8BgPmjHRaznqfqLW/nfX5XKHzvZ/z8vJwiOIpWjccCt1urtu1izJRpJ3GyL3GiHopxGAUVNxgCGFmQAK3GkIxCyr2lZczOjmZ9ps3s6n0pItrCg2c34uLeSE9HYAJpgji1LrzctxFc/xJ3qbn208D+Oz6ZuRObgPZJm69v/rnqdiRy/Ki16DPWwBk/HgnhbZ8vLKHI6X72VkhNvboI/D5oE0803senSP61/r5N+RlI3iPVaqOXr2c5l/NJGjfbgRZpqxJMw6PGMOm1z9h+eqdOGLizvp8oxuJvPR5IbdPsqLTy3Tq7eStb/LpPcDJtHeKefLNIjr2dGL0k3A6VOxYH8Sulz5ktO0Aj3f7lPZhfZCQ2F6wjs92Pc0/ObVf6zS2MrpOm0SPJ+6jz703E5i866zHXx80Ueu5QR8CwMQDByjxeC7wiBQUFBQUFC4gZnPtrxEjqraNiKi97ZAhVds2aVK9zVkwZswY/vrrL9LT00lPT2f9+vWMGTOmxrazZs2q3DZ48GCsVivr1q2r87GcTidPPvkko0aNUiJkzxClGrWCgsJpI8kyY/ftI9/jIUbUs3dSa5bt8lmsm7V2M2D4sVWrHHsaz/49CrfopFlgB6b1/IIQY/0m5Re8XmJW/EK3lcsZrjpMM/sB1A9KrFvwK6WJbQCwtOtc2T7W3JTBTW5j6eHZzN79AjP6Lz/j/JGSwUjOgKvJGXA16nI7UetWEPv7L2QPuq6yTfTKpTRevIDDN91B3mVX1jnMuqvGj3BBQ4HHw4dZWTx2gn2/ISHLMitKSvihoIDFhYUUeDxEqrQ8YYpGU8/uNKOgYqQhhGv0gSxxWfnJVUJyeTn9t29nQZs2DAsLq9fjKZx7Mp1Obk1OrnTC9tedn0md6IWtf/muXYEhIiWFvutAryscNG9bVYByeR08sLo/Dq8NevojbLoTuSiR68u2cPVIJ/6acO5M8omNHXu5aq0srSsupMkPXxO9ejlB+3bz1+ffU9S1FwC5lw1E7XJS2LU3hd164wo/eXXqM0WthhvutDF0jA3NccXuBQF6D3DSe4ATUYT0VC2zZwSya7OeT18JpW2XO7js6pGM6pZCinsJm/NW0i3qylqPI+r1ZFwzguZzPyF88wb6jx5CxjU3kPzAkziiL2zhq5GGYDZ4yshyu3n84EE+b9XwKmgrKCgoKCgoHCM8PJxrrrmGOXPmIMsy11xzDWE1zPtTUlLYtGkTixcvBkCj0XDzzTcza9Ys+vfvf8rjeDwebrrpJmRZ5uOPP67v0/jPoIiNCgoKp80r6en8WlyMDgG/dxM5sMuAySxx6wOlDL7Rjvq4K8u8va/hFp20Ce3JM73mYdCY6m0cKpeTxovm03zeTEw5mVW2FRqi0RflA21q3PfmxIdZk/EDaaV7WXvkewY0vvmsxyOa/MgaMpysIcOr/L7x4vlEblhH5Ia1WFq3Z9+9j9RJdFQLAqOMobxXnscrR44wPjqaYK32pPtcKKYcOsTrGRmVP4cKGqb5RROgqr8iQCdiEtTcZAjhal0gb5XnstVbzvW7d/NO8+ZMijt7B5jC+cEpiozYs4dCj4cEtZ67jeE1tjuYrMVglIlt4q1x+5mwb4eOMqsK/0CJmUvy+G2RiX3b9dz5iBWA/PJMIky+z5JeY6RPzDXk2NO4tumdFIkCs96ANfPactPIPNL2anHYfX0lJFZ3ypky0mg+91Pif1mI2uUCfIWqAlP2VIqNhT0vpbDnpfV2fqdCc5LLiVrtC7t+/pNClsz3Y977gezZqmfPVj2C0JOW7TvT8/LH8TRyQmMvouTl+wPvM7Tp3Ri1PueCrNWx74HHSb9+FK0/nE6jZYtptHQRMSuWcmj0ePaPm3isuvV5RieoeMAUyVRbJrNycxkdGckVwcEXZCwKCgoKCgoXFJut9m3qE+by+fm1tz2xeGNa2hkPqTbGjRvHxIkTAfjwww9rbDNr1iy8Xm+VgjCyLKPX6/nggw+O5hyskaNCY3p6OqtXr1ZcjWeBIjZeJLglib+sVvaVlyPgEykckkShx0Ohx0O5KOKVZbyyjKfi6/HfC0CUTkeMTkeiycSwsDAidOcnhE3h38W83FyerrhxDLNG8d0vIajUMjO+zq+WpxGgd/QQDlp2cU+Hl+pVaASIWvs7HV5/BgBXcCiHR97GP+rePPVxbxzmaD7vnUdtcl6APoSbEicxZ89LfJX8OpfEXlfv4zvKridfonTR1yQsnEtQ8i56Tb6Tos492DnlJUpb1iyGHqWf1p8fVSUc8bp57cgRpjdrdk7GeDbkuFyVuTuv1AVwqdZMO42p3h2NtWFWqZnmF8NMRz6/uUt5KDUVhyTxZAN2gir4kGWZ+w8cYFNZGWZBxROmKHRC1Ymq1wPz3g/gp3n+6AwSM74qoFGzkwuO9jKBnCMaEhI9VRY/TmTzHz5XY5dLneiNMkNvtTP0VjuyLPP5rudYeugLZvRbTtMgXxGR+zq+ilbluzd6RjpY+o2X3AwNP887FhbUvoezylxbXW6n9UdvkPDtHFQVIdMl7TqRduNt5PYdgDvk/DhxXbJEhugmXXThBfwFFWZBjVlQ469S4S+oMQjVs+u4BQn9yGyih+yjyCnBQTP2rf6kJIWQ8m4Ac98NZNSEUqy9HmLZ4TkUO/OY0PG1Kn04YuLY+vL7HBp9F23ffpGwLRtpMecjStp1ImdA/ebvPR3aaIwM1gXyq9vKPSkp7OzeHdOJD1UKCgoKCgoXO351z/98ztrWkcGDB+N2uxEEgauuuqradq/Xy9y5c5kxYwaDBg2qsm348OEsWLCA++67r8a+jwqNBw4cYM2aNYSGhtb7+P9LKGLjv5yvcnP5vqCAVRYLtnrM6Xbf/v0MCA5mQkwM14fX7DJR+O+xqqSEcSkpAFyvDyZ/ZiMALhnoqFFoBOgbN4w+sdeecZhyNWS50hGYPeg6slYvp7Brb44MHYlkMGJyQeGcaJwFKtb8YuKKoeW1dnVNwp0sPzwXq6uItNJkWoV0rZ8xnoA9PoG9k58i9Y77aT73ExK+mU3otk30Gz2EfRMe48D4B2vdVy0I3G4M4yV7Nu9mZjIxNpZGDayC3DuZmbhlmdZqAxNN5ybs81SoBYH7jBGEqrTMdxYx5dAhgjQa7o2pXjFXoeHwQVYWs3NzUQGPmaKIPiFPY2GeihlTQkje7gtPdjtVvPm/EN6Yl49OX3u/7z4dzKZ1RkLCRfpfU86gEXai4qpfozat8/0vdb+savLz+fveZMmhWQDsLFxfKTYeFRoBtFoY80Apb04JYfFcM5Gxvv479nRV6UtWq4la8xsqr5e8Pv04MO5Birr0rJeq9afCInn501PGn24bqaIT6RTtAwU1MSot4SotHmScssR+0YldlkAN+AEdin2vsenoc4y4vovlz7Vh3D38KpYdnsOK9AUMa3YPMeam1cfTtiPrP/uOyD9WErIjqarQeNy1/XxyuzGUzR47B51Onk9La5ALOgoKCgoKCgo+1Go1ycnJld+fyJIlSygpKWH8+PHVHIwjRoxg1qxZNYqNHo+HG2+8ka1bt7JkyRJEUSS3okhnSEgIugoj1pEjRyguLubIkSOIosj27dsBaN68OeazzEl5sSGcbkWefxuCIAQAVqvVelFaYEfs3s2iwkIAggQ1iRoDAiADGgQCBXWlW0GN74FcDagRqnwvIlMiiRTLXpK9Dg6Ixx6WpsXH82JCQr0UeFD495Jst9Nr61ZKRZG+WjNjymKZcG0Ukijw5tf5NG9TNWxQluV6/8zErFhCi9kfsX7mt3jN/rW2+3amPws+DkCnl5n+ZT4JibW7oJKLNhNmiiXceP5EKUNuNu1mPE/syqVsev0TcgZee9L2sizzlC2LPaKDG8LCWNCmDboTwxQuEBaPh/iNGykTRab5RdNde+Fvsl85CvneVYIAfN26NaMiL4wAqnByVhQXM2TnTkRgrCGM4YaqIayWYhWP3xpOQa4Gk1nizoetfPVhANZiNVffbOOeKdYa+xW9MKpvNG7nsf8Rg0ni7W/yiW50THDMStPwwPWRaDQyX67Owc/fNx9afngun+6cCsD9HaczqMmttZ6DJMETt4WTuveoCCmz6I1ldNr8HXsmP4VoNAIQvvEPkCQK+vQ/zXfpzPDKMrMcBfzmtlYRGMO0Wjr6+WFWqyn2ein2eCj2einyeHCfZD7Y1GDggdhYOpvN7LTb+ae0lB8LC3FIFb3/E8I3fUN5fcdtbM1fQ9/YYTzarebQpprQFxXQc/Kd7J30Pwq7X3KGZ33mbPLYeMWegxrY1LUrXfxrv78oKCgoKCj8G3E6nRw+fJiEhAQMDcy4cCrGjh2LxWLhxx9/rHH78OHDCQoKYs6cOVx33XVIksTSpUurtdu0aRM9e/Zkx44ddOjQocq2tLQ0EhISaux/zZo1lbkex44dy5dffnnSNv92TvZZKS0tPSriBsqyfNLqnIrY+C9naVERy7IKaOrW0lStR1VP4k6O6GaZ28ovLgsAt0VG8nliYoMROBTOH7IMOaVe+u7ewiGPg0SMvBQYw1dvB/HTPH/ad3fx4szCKvtIssRT60fSL+56roy/BbXq7EzUKqeDjq9OI/7nhQDsu+8RUu59pNb2kgQvTQpl63oDkXFeZnydjzmg4V3rgnZvw9K2U6WbJ+Kv1TiiYihrXr1QwX6vkym2DCSgV0AAC9u0aRAOx1fT05l6+DDxKh3v+MfX2zXobJBlmc8cBSxzW1ED89u04aaIiAs9LIXj2FJWRv/t27GJIv20/kw2RVZZnPB44Jl7w0jepie6kZdnPiwkupHI1vV6XpjoCzue+nYRPfo7q/Wdtl/D5JsjMfpJPPhsCQs/CyDtgJbeAxw8+WZxZbsf55qZ83YgHXs6ef6TIjySm+WH5zJ79/PIyNyS+Ai3tKr9OnOUA2vLWfJwFn35k7HqeTQTDwCw7bkZHBl29rlgTxenLPGGPYctXp+ru6e/P7dGRnJ9WBixen2Ni0CyLFMmiqQ6HKSUl5PlcmFSq/FTq2mk19MvKAj1CftZPB7m5eUxae9B0MmMLoylW9ghHlk3GIC3+v9G08C2dRpzh1emkvDdXADSh9/C7keeOe+5HN+05/CXx0Yns5lNXbqgVeY7CgoKCgoXEf9msVHh/FJfYqMyk/qXc01oKHcHR9FcY6jXh/xotY7xxnAeMEagAubl5XH97t14pFMFYSlcTHi90KuPTOwHyRzyOCBPz4GRnXjhvnB+X+TLwTHstrJq+23LX8veon+Yu/dV3JKr2vbTQVdcxCX33kL8zwuRVSpS7prE/nG1hx2DLzfxwy8XExHjJS9Tw7tPB1OXdZUd+X+yJuP7sxrv6WBp17lSaNRaS+jy9GT633IVbd96EY29aqLmlhoDU/yi8RNUbCwtpXNSEp9kZWHxVC9EcT4QZZns43I1jjAENwihEUAQBO4yhnO51h8RGLV3L/Pz8i70sBQqOFBezpCdO7GJIh00RiaaIqoJYJ9PDyJ5mx6TWWLau0WVjsQul7gYOsZ3zfnwxSBspdU/cwf2+FyGzVp7iOmxlcDRk0EQ+XuVkZV/5CDJvvvY5qMh1P2ceEQXD60ewBe7n0NGZmDj0dyc+PBJzyN4exIDhl7CYw+3ZC2X8yLP0Ew8gNdgJOOaEVhPkY/1XGCVvDxty2SLtxyjSsVP7dqxsWtXHoyLI85gqNVtLggCARoNXfz9GRUZyWPx8dwfG8sdUVFcERxcTWgECNJqeTAujuabGgPwozmPqMDW9I0dBsDXydPrPO69D07h8MjbAWj84zf0HzWY4F1bT/f0z4q7jOGYBRXbbTbeysw89Q4KCgoKCgoKCgq1ckFzNgqCMAGYADSp+NUe4AVZlpdXbDcAM4BbAD3wG3C/LMvKU+N5YqA+kBCVhun2HJYVFzNh/34+S0xUQqr/I+zfD5tapMMlReAW8HuzNfZCPbsqjIyNmnrockl1MfG3tK8AuKLRSIyaM08MbE47SK8Hb8cvMx23fyCb35xJYY+6hdj5B8o8+WYxU8aGs/kPI799b2LwyNrzN+4sWM+zf4/CoDaRGNylxnxj5xKVx0NRlx7ErP6V5vM+JW75YvaOmsBjux/EIZh45JVieujNvGXWM708h0NeFxMOHGByaipDw8Jo6+dHtE5HhFaLn1qNSa3GpFJhVKkwqdXYRZEsl4sctxuVIBCoVhOo0RCo0RCgVhOg0aARBFSABNhFEZsoku50ssNuZ6fNRobLRb7bTX5F4amj+m2ESsOl2oYVdqgSBCaaIlE5BFa5S7ktORmvLHN7VNSFHtp/mhKPh8E7d1Lg8dBUrWeKXzTaE4qSrFhk4rcf/BAEmUdeKSYuoWoahNseLGXregOZh7XMey+QCU9ZKreJkpfkXb5PZvO2biRZYofwEXRtB0kT+OBVFfNs3Wmrvom9298BfGKjVq2nXVgfHN5yRiZO4qomY6rd57SWEvTFhdiatgDAHt8EU7ZPlLJFxpFs6IjzpoGUDhuM1+/8pxM45HXxqj2bAtlLqEbDkvbt6XWSaov1xQh3I6Zn5lEe52C+o5hRrR5lffYStuStZlfBetqHn/qa7fUPYOfUV8gcPIwuT0/GL+sIl467wZfTduz91atbngOCVBrGGcN5rzyP59LSuCEsjBamc1M0TEFBQUFBQUHhYueChlELgnAdIAIHAAG4A3gc6CzL8h5BED4GrgHGAlbgA0CSZbnOCX0u9jBqgO0ZFtKL7Of0GJs8Nl6z5yABLzZpwlNNmpzT4yk0DN5YWsoTxq2ggonGCK7UB5KToWbTWiMpu7QMHW2nVSd3lX0KHNnc+3svJCQ+uGItcf7Nz+jYwbu20mvibehKrdhj49n4/lxsCaff1y/z/Zj1RhB6gy9nW0zjmgvZHA393lv0D5GmeF7tu5gQw/nP9Rfx12rav/405ox0APIJZwaPcmjE7Yx5yufIcssSy11WVrlLOSK5T9bdOUXAlyv2bmM4fXQNS2w8iiTLfOzIZ4W7FBWwsG1bRihFry4YtycnMy8vj0iVhunmRgSdkGLB44F7ro6ipFDNmIlWbhxvq7Gf3Uk6nrrb93e8+Y3v0cVvocSVz/b8P7G8txzbkWY8/noR3a+wsOzwl9gsOhY9OBnJaYb4PyCzN0haoptZ+fh73zHK3CXoVAb0GmOVY5nTDpL4yVvErFpGcceurP/8mPs5ZOs/lDVPxBMQVJ9v02mz3l3Ge+V5uJBpbjSypH17Es+TULZ4MdzwcjG8uRMV8Ka5ESv2vEh62T4mdnrjtBduNGWldHxpCnG//wzAnsnTSL1jwjkYeXVkWeY5ezY7vOX0DwpidceOyuKqgoKCgsJFgRJGrVBXLtqcjYIgFOMTHL8HCoDRsix/X7GtFZAM9JZleWMd+1PExnpimcvCTEcBAAtat+aWeii64BRFtthsqACjSkWgRkOcXq/kSmoAeCSJxr9uIcdkJ3x3KJ9dGlKn/eYnv8HC/e/SLqw3L13y3RkfX1+Qx2W3X4czPIp/3vkCd0jYGfUjSfDshFB2bTKQ2MHFK7MKUdfi6bY4C5jy13By7ek0CWjNS5d+j1l7es4grwecDuGsckRKdhf7xi3jlv0zSCANCYE27GXEO+H06OekKN9XabtDLyeqRBtJXjtFkpcSSaRUFnHJEm7k477KaBFQFeuwHTKCIIOfCH5eMHvRBHrxqqqOVwUYUBGoUtNEraeJWkeUSkuQoCFQpSaoovhUTeGVDQ1JlvnIkc9Kdyk6QWB5hw5cERx86h0V6pVfCgsZuns3KuBVcxyJJ4h6AH/+amTG/0IIDhOZuSwXrbZ6P6Lk5ZuUt1n29mXYN98AETvh3q6g9oJHD6+WgaTl06W5RMYcW1w4mqPxKIZmmxk+aQ+3XDawxvEa8nNo9fEMGv3yHSrR14+ldQf+/OIHJEP1sZ9vHLLEBreN1e5S9ogOAAYFB/NNmzYE1/TGnSPS06FJExCe3YPcv4ArdQHcrQ9Aq9KjEs7wXi7LxP+8kIQFX7B+1g/n1SmaJ3qYVJaOC5nPWrbkLqWivYKCgoLCRYAiNirUlfoSGy9oGPXxCIKgBkYCfsDfQFdAC6w82kaW5X2CIBwBegN1EhsV6o+r9UHkS15+dJXw6MGDDA8Lw1BDufm6UOb18kl2Nm9lZpLrrurMUgHxBgNNDQaaGo0kGAzYRZGU8nIOOZ20Npm4KSKCq4KDz/j4CqdmRkYGOSY7WDX0So6DS2sPQT6KV/KwIv0bAAY3uf2sju8Kj2T9zIU4wyPP6sFepYJJz1l46KYIUnbqeefpYC4Z6KBVRzdBoVVzkAYZwnmu93z+9+f1pJUm8+Lft/NQl7drdOZkpWn46SszkgiBwRKCClJ26kjZpcXtVBHdyEubLi78gySyDmvIPqIhJMJL14HZxPfaTfOIZgTofIJXsTOPQ9bdBOhCcJQLLJzekT37J/KcZhz/G3QbLQ6GkZLSivefE+l45UHu++FZ2sqNSfqgI5Y+mcgjN+AN0BIkqBnZeBSJIV0ByCg7wB+Zi1HJWrbNuZn9K7qDINPy0mRMpsNIme3YuacxaoPEQ9N30/7w6+i8Ajq3B7GgnNxNUYiShmbXOTB2vJTyPoOPvQGSVJlvsqGjEgQmGCOwySIbPXaG7d7Nmo4d6XaRLkA1REo8Hu7dvx+AofrgGoVGgGXf+tIuXHWjvUahEUCt0nDIugt7/69g92WQ34FmKZ/TadhmpIzuLJa0BASJRERXdTFfc4uN9ANaZBmuHWWjedsYoGYhKXzDWrpNnYjO6gvRzuk3iJT7HsHaqt3pn3w945AlfnaV8JPTQnlFrWkV8GijRrySkIDmPC/WxcdDSAgUL42G/gVs85SjM1bNw+kWnejUp/FgIwgcGXYzR669EY7e52WZxovnk3HtjUg6fT2fxTEi1VpGG0KZ7SzksYMHuTo0lBj9uTsegM3r5Z+yMvaXl5PqcJAMM3OnAAAgAElEQVThcuGSJDyyjEYQSKiYD3X08+OSwEBlQVZBQUFBQUGhwXPBnY2CILTHJy4aABs+J+MyQRBGA7NlWdaf0H4TsEaW5Sdr6U+PL7/jUfyBTMXZWD94ZIn7StMpkr181KIFE2Jj67yvKMuss1j4Jj+fhfn5WCucIoGCGoOgwi1L2CucWHXBX63mpvBwxkVH0zsgQAl1qkdSy8tpn5SEU5LglVY8eImeAcNOLTZuyF7K65vvJUgfzmeD/kGr0tX5mILHTacXnyS/92VkDbn+bIZfI2t+MfLuM1XdmQOvt3PPFAvaE4Z52LqXaX+NoNxbhk5tYNagzfjrjjnhtv2t540nQii3neEDn9ZOSIQXg8aERgPh7fewJWY0yCr47jsobA0qD9x8AyQu4bHOX7Boyq0cStYRTj75VHcVl6n05OlMbGh7HbtvfouAIInk7L+59YNJeB2RmOz+hFJEmGE/Yd5yjF74u39P7netZfvfBvx0Nmzu2kOht3dvRfpM39pPgT2T267sh2wy4wqNILffQNJGjMEZ1bAdQG5Z4kV7Nru8DuL0enZ160bQeXSA/Ze5IzmZuXl5xKq0vOUfj74Gx9uhfVoeGRWBWiPz2bJcQsKPLQZklO4n3BSHQeMLDc6yHSLVsgPr39fzxSuxPifk0lx+X+THZ9OD6Hqpk6ffLzqjsYZv/JPe949GkGUsrduz84kXKenU7cxOvB6RZZnlbivfOIsplX33z+ZGI3dGRXF7ZCRxF9ClMGgQrFgrov11PR6VxLv+8TRW63F6y/kqeTq7Czcwve/P1ULUT4em8z+n/RvPYWnVjqTXPsLe+Nzl1RVlmSm2DA6ILm4IC+OHdvUrMnskic1lZawsKWFlSQl/l5bireN8PESj4drQUMZHR3NZ0IUN31dQUFBQ+PegOBsV6srF5GxMAToBgcCNwJeCIPQ7i/7+BzxbHwNTqI5WUHGDIZjPHAW8duQI46Oj0dVhhf0Pi4UxyclkuI4VE4lVablBH8JlOn+0FUKhJMtYZJE8yUOu5CFP8pAnetAJArEqHeEqLcmig/VuG0Wil1m5uczKzaWVycQTjRpxW2TkeXd1/BvweOCJJ6BnT7jllmO/F2WZPXY7pV4vDkkiy+VifWkpvxYX45QktLsD8ayIJHpUYZ2OE2GMo3f01cQHtDwtoVFbaqH7o3cTnvQ3MSuWUNDzMtwhoad7mifl8usc+AcVsnmdkeQdOo6kalmx2I/MNA1PvllMUMgxYSMhsA2vX/YLs/e8QKQpvlJodDpkPvg8lfVzLkOWVMS1yadZt0zsVh1Op0z79gb69AogOFxk8ert/LBqB7j9IGwfhKRCdnfYPhaKW1CcdWxsRw52Avb6BEZJizowl+g7ptC0g4Zov8m0CG3Fo6+W8NRdYQSaZaa3u59LHZsI2ldGRHYh4XIR/pILf6eLv7YIvLHF996ZGMDXpAPpxw7mPPZtiEdm6ttFTH8slC1/+bGcwTgwVr48BhCcGsJVOfglHhNq92esQe90gdOFobiIwAPJtPziA3IvG0j2gCHk97m83v9+9YFOUDHVL4ZHyo6Q6XIxKTWVua1bX+hhXfSsKilhbl4eAvCgKbJGoRGOuRr7DHBUERpXpX/Lp7umcUnMdTzU5W0AYs1NiTU3xTscfvpcpChfzR/LTaRWVKJu3vbMc5kWdutNUece2BKas+vx55H0DWNCvsxt5bOKVCaJRiMvJiQwIjy8QVSB79IFVqxQE5UbREZMMds85TRW63GLTv7M/BGru4jpm+/hfz1nnda94XjscU1wBQUTtG83/UcNZueUl8i4buQ5cVirBYEHTJE8WnaERYWFLCoo4IZacr0Wut38XlJCmSgiyjJOSSLD5SLN6STffWz59OhXSZZJLi+nTKzqvA0XNCSo9USptUSotOgQUCPgQSJX8pIrudnrdVLs9TI3L4+5eXncFB7OjGbNLqjQrFCdZLudNRYLaU4naU4nTkmiV0AA/YKC6Obvj16ZpyooKCgo/Ae44M7GExEEYSVwEPgWWAUEy7JsOW57OvCOLMtv17K/4mw8x7hliXtL0yiRxTrlM/o0O5uJBw7glWX8BRW9tGYu1frTTmM843xvkiyTLDpZ5bay3m3DVTGNb2YwMCU+nmtCQ4k+x2FP/yYWLoSb73cR2cLD+tVqXJLEt/n5zM7NrSIAH08Aaspu64qcaWL2ihyCw6Qa29WELMt1dpqaMtPpNekO/A+n4vEzkzT9Y/IvubzOxzpTtm3Q88aTPndiaIRIVJyXMqsKg0nmjoestO3qEys8Xi8bVvjz169Gtv+jw+OqCOnrNBuuvQ80x0SNce2eY2izuwBILdnBlD+HE+vfjPZhl9Ah7BKaB3UgUB9BRqqOcrvvYcNarGLtUhOb/zAgiQIdezl55OUSAkOqv9+SVL0oa2mJis0/eyCzEG1BIQXlAWzxdqbUokIjexhn/JqwEBdxbdWEdgzAExiMKzgET2Aw+QY9hyU3aR4XO3Mkcoqg2AaiTiQwzoMu2IM1TY/r10iuMPsx6QGfUrkh42d++vspdCXFtCmASTv86JN67BqUctck9j3wRL39reqbfV4HU22ZSMAPbdvWKiIonD1uSaJjUhL7ysu5WhfIPaaIGtuVWlTcNTgKt0vgtdkFtOrkxit5+HTnVFakLwCgc0Q//tdjVrVw3MVfmvnynUDim3mQJMg8rOWp9wrp1rfma1tN+Kfuw9a4GXKF01XldDSIvIxH2eax86I9Gwl4pnFjnm7cuEEtrC1cCDffDPGTMzkyLJUOGiMvmOMA2FecxDMbbsEtOrkk5joe6fYBauHMUqAY8nPo8tRDhG/eAEDm4GHsmPYaXvO5KVD1taOQ71wlRGi1zExMZGhoKIIgUOr18lNhIQvy81lRUlJnV+Lx+Asq2mtMdNSY6KAxEqXSnvK+KcoyyaKDde4yVrlLkQA/lYqhYWEkmkwkGo1cGRxMmE5X2f634mLWWSxku91kuVw4JAmtIKAVBKJ1OlqZTCSaTLQymWhhNCrpac6QdKeTT7KzWVxQQIrDUWs7s1rNkJAQhoeFcXVIiOKuV1BQOG8ozkaFunIxF4hZDRwBHsJXIGaULMs/VGxLBPahFIipwvkWGwF+dpbwhbOQBIOBlB49aswf5JUkHkpN5aPsbAAu1ZpP6mo5UxyyxG8uK4tcJZWhZQCtTCYGBQdzc0QEvQICGoT740IxcFIpK6/dBrrq/+9GVASr1OgQ8BPUtNAYaKMxEJTlzxPXx2AwSixYn3NO0vMF79xCz8nj0JcU4YiMZuN7X1Lask39H6gWMg9rePmhUHIyqpq8VSqZ0feX0rmPi5mvBpGy65gTRxOcS0C/Lwi8bAEqQVXxUqNV6xgQfzOXN7oR8FW3lpHr/FBdUqgi45CGtl3dnOpZzyVLHBJdlEheSmWRclnCT1ATKKgxq1ToUFXa1h3IOGUJhyzhlCXKZYmDoou9XgcFsrfO7xVAvNdANz8j7TVGWqq0HCjayFtbJlLqLuZe3XAeOdiIiPVr2PnkS5Vhp/4H92PKziDv0isaVI7HeY5CfnCVEKbVsrt7dyJ1Z+a2Ujg5r6Wn87/DhwkU1Hzo3xizquYP97cz/VnwcQBNW7mZMb8Al1jOG0n3sSVvNSpUjGr9OCNaPFBjwRFbmcBdg6Nwlh/bNmdVThW38smIW/I9nV58krQbx7D78efP7ETPIZmimydtGdhliTsiI5ndqlWDSxty8CA0bw7apuV4Zm1Cg8C8wKYYK/5e2/LX8vLGO/HKHgY2Hs39Haef+TmIIi3mfESrj99EJYqUR8eR9MoH5yTU3S1LPFqWQYbkW1TqbDbT1GBgaYX7/ygJaj0RKg0qBDRAqEpDuEpLsKBGhe88j56uAIQJGpqo9Wc1LznkdTHTkc8+0Vnl9xpBYHBICB39/PgqL4/0WhYUa0IA4vR6VIBHlit/bmwwEG8w0FivJ95goL2fHwnGhiPGX0j22e28duQIX+fnV4rOGgTaaozEq3WECxoEAfZ6nez1OrAeN0/VCAL9g4IYHhbGDWFhyiK5goLCOUURGxXqykUhNgqC8CqwHJ+46A+MBp4ErpJleYUgCB8DVwNjgVLgfQBZlvucxjEUsfEc4JIl7ilNwyqL3BMdzZvNmuGvOSbYOESR0cnJ/FhYiADcaghlhD74nD4gOWSJ5S4Lf3lsHBZdVTI/xuv1DA8LY2BwMP2CgqqM9WKnyC4S/lMScowDytUYjBKiAK00BgbpAump9UNXwwP85j8MvPxQKE1aunnn24KTHkOWZX46OJPukVcS69+sTuOK/HMV3R+/B7XLhaVVO/55dw7OiKgzOsezwV4mkPSXAY1Gxuwvs2aJibVLTVXaGEwSQ2+10XuAgyYtvRdEM3PLEt85S9jmtXNIdFF3n2ntqIFEk4n2fn608fMjRKPBX6PBX63GX63GrFaz225nysp8iuMsvioUR/EKmLPMBOWLZBbfDoYUpvT4nF7Rg6sco/ujdxGz+lcKuvdhzyPPNIgCG+B7kH687AhpkpurgoNZ2qHDv6Ky9r+JI04nrTdtolySeMgUyeW6AETRV0gpKtZLSITvU5yVruHhmyNwuwQefqWYzgOyeXnjHaSUbEWnNvB4t0/oHnXlSY/1xZuB/Py1r2JxeJSXz5bnnXqAkkTrD6bTcvaHAORcNpDNMz5DbiD3B6cssdxlZZGrmDJZ4pKAAFZ16tQgQzBlGYKDwWqViV33D1mSk2l+0XTXHqsivSF7CW9uvh8JieHN7+OONtPOak4QvGMLXadOxJiXzZ9f/oylbcf6OJVqlEkiP7pKWOqy4DxuZhGr0tJX509frT+x6guzWCHJMju85RwWXWRLHlK9TtKkqikEzIKKS7RmolQ6QlS+HNmiLONBplDykim6yZI8ZIruyoJDdSHRaGRIaCjt/PwI0miqvMK0WgIbyP/RuSLT6eTZtDTm5OZWvmvtNUYG6QLpqjVhqmGhUZJlUkUXmzw2/vHYK0Vs8N1eBwYHc1tUFDeEhWFUHKYKCgr1jCI2/vdYu3Ytl19+OSUlJQSdRp7niyVnYwQwF4gGrMBOKoTGiu0Pgy/SDV9o9G/A/RdgnAonoBdUjDaE8rEjn5k5OSwvLuaNZs1o5+eHXhAYn5LCH1YrWgQeNUXRS2c+dadniVFQcYMhhBsMIdgkkd1eBxs9NjZ6bBxxuXgvK4v3srLQCALjo6J44wSB9GJlzPqDPqExXw/ju/Hq58UkJJ7a0ZaT4ZvoxsSLp2gJh6y7mbPnReYnv86XQ3Zi1Pidcp+wzRtQu1zk9h1A0msfIZpOvc+5wM9fpt+QYyFPHXq6aNfNxczXgnC7BC4ZVM64R62ERtSHvHdmlEkir9qz2XucgyVGp6Op0UiYVkuAWo3F66XA46HY48Ely7glCRkqRcPjX61MJvoGBtIrIADzKf4HegcG0qdrDB0HuBA7lEBnC3QugSgXtsZl2BqD345PsFsuZ9au5+gWOQCNqiIsTJaxxycg6vSEb95Av9FDyBp4HQdvuxtLu87n8B07NVpB4GG/KB4vy+C3khJeSEvj+YSECzqmi427tqZSLknEWP3w2xnO17t0rP7FRFGeBv9AiaffL6R5Ww8fPu/7X+vU28llgx08s+FeUkq2YtYG8lSvL2kVcmrH2rWjbSz5xg9JFGje1nPK9iqng25TJxK95jcA9o9/kOT7H6+ep6AekWUZuyyRL3kplD2USSJ2WcJRWVHaJ7yVyiIWycvO41xQbU0mFrVr1yCFRvC59jp3hrVrBVpaQsgKyGabp7yK2Ngn5lomdCrjw+2P83PqTPrH3UCTwDN3spd07MrahSsITfq7itCodjgQ69F1569Sc5sxjGH6YH5zW3HLEr20Zko2BhDXRCQq7tT3yHOFShDorPWjs9YPlxPWrjCRMNBCkraMI5KLHlozl2jNdYookWUZa0XObAEBDQIiMkWSl3zJQ6Hs+5oveUkTXaQ4HKRkZtbaX2ezmaGhoQwLC6OT2dzg3Lgnsm8fNG4Mp/ropDkcfJSdzQdZWTgq3K09NH7caAihpebkD+8qQaClxkBLjYExxjCyRTebPHb+9thIEZ38VlLCbyUlBGs03BkVxX0xMbQwmU7ap4KCgsJ/gf79+9OpUyfeeeedKr+fM2cOkydPxmKx1LLnhSUtLY2E454vtFot8fHxjB07lmnTzm7R9d/ABVVaZFkef4rtTuCBipdCA+MqfSARKg2fOPLJcLm4Ze/eKttNqJhqjqad5vxPlMwqNb10ZnrpzLhkia2ecrZ77Wz3OsiTPHyak8PvJSV82aoVfS+yao7p6ZCVBX36wLKiIn7V+cLYmd4KbFpKCtV1EhtzK0KLoxuduu2ajO8B6BF9VZ2ERoA9Dz9FafNEModcX5knrSEgCHDl8HI69HBRalHRvM2phYtzSZ7o4QV7FlmShwC1mneaN+fK4GAanccVybZtYevvejIzowgJiSIgQGZrrpMPdxewscMhHIlqrsi7jZHN7jkmNAIIAnsfmsbhkbfT5v3XiPv1J+J+/5m433+muENX9t37MAV9+p+38ziRxmo995sieKc8jxfS0+kZEMDVoQ2vsE1DJz8f3nkH7rsP4uN9v1uXW8YKdyGIkP1wa145fEx0Uqlkyqwqnrk3jEuvcrB3mx69UWLCUxYEAa5rehcWVyGPd/uY+IDEOo0hIkak71UO1i0z0b77ycNGVS4nPR8eT8TGPxC1OrY/+waZ14w44/OvDVGW+c1tJcljp7BCsHFyetEkTQ0GnmnShFsjIhpUjsaa6NIF1q4F054Q6J3NVm95tTYDG4/C4bUTbow5K6HxKF4/M3n9Blb+HLB/L33uG8Wux58ja8j1Z93/8QSo1Iw0+AplLfzMn/kfBeAfKPHud3lVChpdKH7+yszXHwYycI+OB545faelIAgECRqCVFUfDVrU0NYui+zwlLPdW06x5MUuS8e9RJzIbLPZ2Gaz8Xx6Ol3NZh6IjeWWiIgG6dhb8K3M6JetXDHGyZBb3OR5POS73eS53b4FE52ORgYDyXY7y4qLK/+LW6sNjDWGkXiGVdZj1DqGq3UMNwSTI7pZ6y5jjaeUfK+XtzIzeSszk4HBwdwfE8O1oaE1XgNkWeaQ08nm0tLKBUYZWG+1ssZiIcvl4qOWLRkaFnbG74+CgoKCwskRRRFBEFDVMldbuXIlbdu2xeVy8ddff3HXXXcRHR3N+PEnlcP+9Vz8tq7/CNpSC5F/rSZg/17UTgdqpxNtWSn2UhguLiYv2ze5m229hcvUf6IN0CEaDDjDInBExuCIisHWuCnZg65D0tU9Z0xnrR/vaRqz0FnMBo+tcqIZqdLymCmappoLn39GL6jorTPTu8JdudNTzvvleRx2Oum3fTsvJyQwJT7+olhZ+PFHGDMG7HZ4bK6F2QnJvg3fxeF3IBA7UFJUt4n+0TyGUacQG72Shz8zfwSgf6OTP7BHrF9DYddevsILgkDG0JvqNJYLQUSMSETMhXOsgO+BbqotkyLZS5xez/L27WlnPvcu4Zro0MH38iHQpo2RFuZG9ErLQopw0aP1NKKPczCnWnbSLLA9giDgiGnEllc/JPWOCTT9+nPifv2JkJ1b8E9LvaBiI0B/XQApXifL3VZuTU5ma9euSi6y0+TRR+Grr+D332HjRtBo4O6/DkMY6NZH0DpSg83gJjhc5PJry2nf3c2M/wWzY6OBlT/6Fic63LKUyJguAHSPGkjXqAGnXUTk/qcs9LnSQbe+ztobyTLdpjxAxMY/8BpNbHx/LkVde53xuddGitfBx+X51UJaAcK1Whrp9UTodASq1QRoNAj4xEmAMK2WCJ2OBIOBa0NDa8yJ3BBpV5EhwfZnENo+ArmShxzRTfQJIcZHi2idCxK+mY2+pIhuUx8kLOlvXzXxsyj0YysT+PSVIDIOahnzoJVufV2sW2Zk/ke+tDxlVhUfvRjMtHeLqqXXyErTsDtJx5XDy1HXMNuWZfj9BxNF+b7PuVoDva5w0Lj56eXSPcrebb751j9rDNw3jVPm/j0b/AQ1fXT+9NHVXJjHKnlJ8pSzyWtji6ecLTYb41JSePTgQcZFRTEhNpZmJ7nOeiWJ7AqxL9/jQQX0Dwqqk1DplaRKd78oy2gEAa1KVVkU58S53mZrGeNsB+C9UlYDqw+d+vw7aIxcqw+iu8av3uaO0Wodo4yh3GQIYZu3nF9dFrZ4y1lRUsKKkhLi9HruiY7mruhoAjUalhcX831BAessFnLc1a8zxzN8927ebd6cB+Pi6mWsCgoKCg2VsWPHYrFY6Ny5Mx988AEul4vRo0fz3nvvoavIz96/f3/aVUxa5s2bh1arZcKECbzwwguV13SXy8W0adNYsGABFouFdu3aMX36dPr37w8cc1TOnTuXKVOmsH//flJTU2nSpEmN4woNDSUqypcurHHjxsyePZutW7dWio2bN29m6tSpbNu2DY/HQ6dOnXj77bfp0qVLZR+CIPDZZ5+xdOlSfvvtN2JjY5kxYwZDhw6tbLNs2TImT55MRkYGvXr14o477qjX9/d0UcTGi4D4yffR4afvUYnVhRE3Wvaig6MJynESSD5UpHj0P5xa2VbSaMi6aljlz41+XojWVoqlTUesie1qDUvSCypuM4Zxm9G3ano0D2hDFe86aE28GxDP544CVrvLmHr4MIedTj5q0aLBO0dqQ5bhtddg2rSK9//6LN6MPgheGfb5E/BDPJ0vc7JuqYmSgrqdY/aRujkbt+Wvw+ouIlAfRufwfrUOsNm8T2n39ktkXzGEza9/cm6fhOpAieTFIKgqCxg0RL5xFlMke2lqMPBH587ENrDk8YktBZgTDjdlss5hq0yXsC1/LS/+fTsPdn6Ly+NvrGxvbdWObS++w96HptL4h69Ju+HWym2BybvwmvywN2563s9jnDGMg6KL/V4n41NSWNWxY4O9fjU0cnLg229932/ZAm+9BW1vLOVAWDGIcHtwENd+XFRtv2nvFPLggxnkbe4N8X9S0v5ZZPlnhAoxQM3pXx/0Rpmel59EaAQQBI4MvYnQLRvZ9Nbn9S40pnqd/OgqYb3HhgwEazT8Lz6ejmYzjQ0GGun1mBqgs6s+aFNhVNy/XUPfwEBWWyz87i7lDuMxR5XDLiBJvvQVALn2dObufYX7O72OWRt41mPYMe01nOGRJH72Lk0WzSd411aSXv8UW5O65RI+nkP7tEx/PIS8TN+98KVJYXTp42TnZt91+LIh5WxYaSTpTwMrfzQx8PpjTs7UjHyevrM5Dos/u7N3M3Ksh1hzM9THuQb/WWvg45eDqxzzm0/86X9tOaMnlBEeXffFLlmG1D2+h6hSi5qUnTradD65AHUuCVRpGKAPYIA+AKvkZZW7lOUuKwVeLzMqHHs9/P3p4u9PR7OZclEk1eHgoMPBQaeTNKezWoVvs1rNtaGh9AkIwCvLeGSZIo+HHLfb93K5yHG7KfaefM6iwvd/2cRgIESrZWVxCXIzwKGCPYH07eElWKsmSFATKGjQCwLFkpcC2YsOgSt0Aec0R6daEOim9aOb1o880cPvbisr3KVkulw8k5bGC+np6AUB+3EFijRAU7UBvSDgkCU8skwzjZ72GhN7vQ5WuEuZlJrKIaeTN5s1U/ITKygoVCLLMuXS+Xfnm1SqczbXXrVqFQaDgbVr15KWlsadd95JaGgoL7/8cmWbL7/8kvHjx7Np0yaSkpK45557iI+P5+677wZg4sSJ7N27l2+++YaYmBgWL17M4MGD2bVrFy1a+Dz/5eXlTJ8+nc8//5zQ0FAiIiLqNL6kpCS2bNnC7bffXvm7srIy7rjjDt5//31kWWbGjBlcffXVHDhwgP+zd97hUVRrHH5n+26y6Z10EkJIIIB0AanSVdCLgAqKgCiIBbCACCgiFkQEARVEURREFKWIXOnSe68ppPdssptsn7l/LAQiRdAg4M37PHkCOzNnZjZTzvmd7/t9ev3Fib3Jkyfz7rvv8t577zFr1iweeeQRzp07h4+PDxkZGfTp04cRI0YwbNgw9u7dy+jRo6vjK/3L1IiNdzjl5VCGBz5OJ3nB8RwNbkNmqTfpeXryTJ7kE0DrTibuf9wMgsjcT19h/Oa3cFMXE9V3HIkaSLT4UrtMid4hq5LOGrX0S7yPHwJAkskoSmpKVrcHyOrcE7uX99UO6Y4YpOsEOaN0QdSWa1hgLuCznBwyrFaW1av3px52tyMTJsBbbwEqJ3GfnOZU5PniCL8FwPtxNO9uQe/pepEYriOy0W6HgvPRsMHh1+64r01bBEDbWg9UGUhdQHA4SJw+meglCwEwBwZf72ndNH63GXm/IhcAD0FOsEzJPSo9HVQeaG4T8THNaWW11eU/MqdOndtOaATw8gLPAwGU9s1kn9OEVRJRCzJOlxxEROSzI6+T6N8Kf21Ile2sfgGcfuqFyv/LrBbuGv8suqwMTg17geRHnvxb0Ug3ilKQ8YIukOeM6Ww0GPgsJ4dhISF/vmENzJ3rel74+EBxMUycCHr/NIgCjz3+9Ohy5bThFWkfkdftfYTE1jzRuQfd4374x94due278N8m23Ho/764dYEj9gqWWIo55rzo/zooMJD3atfG//+k0vkFsTEnB6Z7hbLBYGC11cB9ai+8ZQoqTAIj+wRSViKjWTsLHe838ZVtOGnGIwCMbTLv718Dcjmnnh5DcaPmNB7/LJ5nTnLPgG4cH/UqqX0HXZcnp80Ka5a6s/hjD+w2gYAQB03aWFj7vRv7t7vsK1p2NPP8lBKi4ux8+aEnn77rhr7OPlokxON0wpzXQzEbXIODrUvrsjUoGr27gi6Rj9E9ahA+2iC2rnU94+IbWomKs5OfI2fvFi0bV7rx+686nnmthPa9zFc9zkvJy5JjLL14brs3a26p2HgpnjIFfTQ+3K/2Zr+jnF+spa+B+ncAACAASURBVOx3VLDLaGSX0XjV7RSAp6DASyanTHRS4HSwJD+fJfn5f+t4RKDI4aDIZHJ9IODqK31SGwrV3L84/5bbp1wgUK7kMa0f/TQ+bLebWGst5YTTJcT6CwruVulpqnQjRq6+qi9nO6WeIJmSryxFfJiZSZrFwuL4+H/tpEcNNdRwY1SIIu5bt/7j+zW1aYPbTXoOqVQqPv/8c3Q6HQkJCbzxxhuMHTuWN998szLNOSwsjBkzZiAIAnFxcRw5coQZM2YwdOhQ0tPTWbhwIenp6YScHw+MGTOGtWvXsnDhQqZOnQqA3W5nzpw5JCX9eYG6Vq1aIZPJsNls2O12hg0bVkVs7NChQ5X1P/30U7y8vNi8eTM9e/as/Pzxxx+nf//+AEydOpWPPvqI3bt307VrV+bOnUvt2rWZPn06QOV5vfPOO3/j2/x73HmqSg1VGDAADv08Djkvk5JTG3IuLnP3EBn2ioEBXcsQBFh0bCpr2syHs1sgqz07fpsFg1uD0uVv9VLTeVxa5ju7U3csfgF4Hz+EpjAfvwO78Duwi/rvTiCrc0/2T539z57sTaCH2gt/mYL3y3NZW1xMtyNHWFO//h1VOObkSXjnHSDAQugXRzmlNblm7r+PpOjjCECgaXsTv+3fB3SnuPDPB1sF2XJEUUClEa/pRZViOMq+vA3IkNE96vIwbXVRAXe98gz+e3cAcPTF10l+dCi3pJzzeUpEB/PMFwcrZZKTMqeTU2YLiy1FdFF58oDaGw/ZreuIS5LEJxX5iMCDfn508fG5ZcfyZ9RFz64cDbZgC/vs5bRS6XkodiT78tZzuuQAsw+MYVLLxdcUERTlJsyBIehTz1Jv9jSiv5lPyoAnSe07sFoFoWsRLFfxqMaXzy2FjElOpruPD6E1lfquicUC8+a5/j1vHsyfD+uySrFEuaIah4Z4XfFW35j+Pd+cfA9kMLRXV7pHPXpTj1NwOKj34Vuk9n+CilouU8nquq7OOix8bSni4Hl/QoUg0C8ggBdDQ2mkv3KK6b8VvR7CwiAjA8IyfWmu17PLaGS5pYQhOn92bdRQXOB6rm7/Tcv237Q06rSGjDZRbM9ezdq0r+gWNfBP9nJ9FLRow6Ylv3LXa6Pw372NBu9MwOblQ1bX+6+6jSTBll+0fD3bg4IcVx+gSVszz71Rgt5T4t4+5Sz6yBONVuK5N4uRySChxzZUKwKxpd3F9GEtGTDMgdEgI+WgHpnajMq9HEuRP4o9ozG2nsz3Z2bx49m5zGj1O3u3uCbeEh/9jn3yd/FS+xHbPI6sH4dRcbYxM1/34bvDMxg/qjGh+phrnu+FqEaZXEJ0CuzZrOHx569ZIPIfRy4INFW601TpTr5o56TDQqrTyjmnFY0gI1imJOjCj1yJr6BAdv4BIkkSZ5xWttuN5IsOFAjIcaVze0py5AYV4T4C/ioFXoIctSBDjoAMl7joRMIhSTiRcOJ67+eLdg6chV/eDEad6k5IhIPUQjh3RnnbiI0XUAoy7lF5cI/Kg0ynDZskESVXXZc4LwgCD2p8CJQp+bAijxWFhbQ7eJCV9esT+H8yEVJDDTX8f5GUlITukuJaLVu2xGQykZGRQUREBAAtWrSo8gxt2bIl06dPx+l0cuTIEZxOJ3Xq1KnSrtVqxfcSb3eVSkWDix5T12Tp0qXEx8djt9s5evQozz77LN7e3kybNg2AvLw8XnvtNTZt2kR+fj5Op5OKigrS09OrtHPp/tzc3PDw8CD//CTciRMnaN68eZX1W7ZseV3Hd7O4cxSVGq6Inx/kqiPQezuJ9rLhE+AkNsFO3QY2fGLSUGitCEIkAO3DHuLXc4uJH/kJR6YmYs1pQsz+VSi6vUpa6Qka+LepbHfRsakcid5GUP1Igt0GEJEZTPdTaTTcthWvk0eRlJd0UCQJ70P7KGnQ+KZW8rxZNFO6M8U9lMnlWfxeWsq9hw+ztkEDPO8QwXH0aHDUNaB65xiZWjsegpwxuiBCeql59QcnCoXEFuVIdpsEoDsHkk9x1pBLjNfVH445lcVhnNfUBfMq0tErvWgYcA/B7lUr+Xof2kfTscPQFuTh0Lmxf/IH5HTqUR2n/Lf41FyASRJp5O7Of5OSyLBY2FpaykdZWZw1m/nBWsJaaykPabzpqfZCdQsiHTfZjZxwWtDJZHwQc+1B5q2mTqzArk3+0D+D3+0mWqn0yGUKnmv0IS9s7sKhgi38krboimL0BWw+fuyYs5iwVcupO/d9dDmZ1Jv9DrELPybtwUdIfnQYVv/Am34uPdRebDtfFXT46dOsrF//jojUvlV8+y0UFLgEpt69oUkTiZhVKYiA/0F/2nS8fJuzhsPMPjgGgN4xT1/zuqgWnE4aTXqRsNU/ELRlHRuWb6z6/vqLZDltLLYUsd3uio5SCgLDgoN5JTz8/1qkTkhwiY3HjwtMeSiKzocPs9ZWyv0aL7asdXXQO/cpR62WWL3EjQO/hdK75wf8aBjF50cnU9enCVHVUDgGwOofyPa53xL5/dcEbV5H1r29rrn+Dwvd+WqWS4T2DXDS/+kyOtxXUdmtiazj4PXZLksAURL55sR0vj8zG/H+UGRL1mDPq8eXlxTJfH6iGQkZM8aBetfrjBwaza95H3OieDe7t6iwWmQEhjqwB+4gJfmoayO3TTDgU1g3HXa+QM73L7DS/QzDR7nm6LZnrybblEqoPoYw91iC3CKQyxScOebKSmnT1cyptSbqph3Ga95+vHwcCJKE3c2dzJ4XLS08jx8GmQyLXwBWb99/3NYkQKYkQKWkLRcF+eQTSr6e7UFsgo3AByqQXeKZLJyv4hzh0JCepiQzRUFmqpLTR1WcPqLEapHRqpOZl94rvmxfckCJcMFNCAAfFETK1fz0vh+cUNPlUSOiKJB6SsW5M7dPwborEfoXU7hbq/T4yBS8XZ7NHqOR5vv2sSIxkYb/Z5MiNdRQQ1V0MhmmNm3+fMWbsN8bwcPDg9LS0ss+NxgMeHpWb2CCyWRCLpezb98+5H94P7pf4p2v1Wqve5wQFhZGzPkxXXx8PMnJyUyYMIFJkyah0WgYNGgQRUVFzJw5k4iICNRqNS1btsT2B09e5R+KqgqCgHgL0uCvlztDTanhqsybByMnlpJe7DJhlCSJY0U7WXF2Hvu2baBt6AO8cNcsAMI86vB5l72o5Vr2upmZMsqNlHUd+eCJVQS2LK1SRTi59AhntsVy5tBAyGoG5YG8h4g84AytGu2g/z2BXEgy9DxxhLZPPECZdwhlzZpSUr8RRY2aURpf/5ZGsN0IdRQaJrvVYlJ5FjvLyuh06BCr7oBZ37VrYc25UnjvMDatSLRczStuwQTIlBAoMvuHXBYcm8C6zO+R6dshAmaDOz+c+ZiXmn5y1XZzrrMSdcuQ7jQMuAeLo7zK54LdRpNXR6AtyMMYFcPu9z/DFH2lmpb/LNtsRnbYTSgEgYV16+KrVOKrVNJQr+eZWrVYVVTExNRUDpWXs8hSxC/WUgZofblHqa+MsLjZZDltzDcXADAhIoLw21y4iI0Fvg6A/hnstZdjlkS0goxa+toMjH+V+Ucn8uWxKTQN6nxZOnUVBIGMXg+R2fV+aq37mdgv5uBx9hSxiz4hr02nf0RslAsCI3UBvGDMYHVxMSsKC+nt73/T93snIkmuCtQAzz7rKgqzx60AsX4pgk3Gi/EeV9zuVPE+JEmkRXBXHqv36s09SFGk4ZsvEbb6B0SFgmMvTPjbQmOhaGeppZj1tjJEXPrFo4GBTI6MrCkshCuVeu1aOH4chnp7c4+nJ5tLS1lsKOHQLlc0QZ9BRoLDneRny9m9WYtt5+M0uedn9ub9xnt7hjO93S9V+iN/C5mMtL4DSfvPY5X9EbnZTOPXnuXMEyMwJDYCwFAkY9kCl+jy4BNG+g41otZe2QJAlETmHnqZ/577FoA2iQ158gcn+38r4Zu5egpzFXTra6JtNzNOJyxfYCc9WUn2bw/w9jMdSSs7wVcTXd60re81c2/0QBL9W1BqLUIuyFHJ1cibq9j6zV5+X9yEX7+Ixc+9lP88aWJL5gp25vxSeSwKQUmQWyQFW7/gXX7kyd+/xceZ5Vp4ySu+PDSiitiYNPVVvI9dtMmx+vhjioiiLCaOsth40u97uIqtzs0mK03B5Gd8KTPIObBdw7L5ehq1tNKqs5kmbS0IwOolbqxZ6o6p7MoD1O2/aUk5paTcZxO+2mBC3K/t/7v5Fy3H9qtRKCXuf8zEgfMp8mln/r1Do3oKLe+4h/FmeTbnrFZaHTjA53Fx9Au8+e/XGmqo4fZEEISbls5cncTFxbFu3brLPt+/f/9lEYiHDh3CbDajPd8v27lzJ+7u7oSFhVWus2vXrirb7Ny5k9jYWORyOY0aNcLpdJKfn0+bmyTEyuVyHA4HNpsNjUbDtm3bmDNnDt27dwcgIyODwsLCG2ozPj6en3/+ucpnO3furLZj/iv8e9+o/ycolZBelszO7APklKexPXs1ZwwHK5cbbQYkSapU3dVy103XpI2VFh3M7Nyg5dO3vXhrQVVRqb3zIw4ta3jxA8EJkhxnfhxb8+M4lObknZgCgsOd5O3eQpnggUdJNh6//kTorz8Brs5tVpf7SOvzCOaQ278CXoxCwxtuoUwsz2Sv0UiTffv4MSGBJh5XHjTfCk6fhl69XBGt990HczeUwbTDoBVJUugY5xZcxbdnafLbrMv8AgGBx1sM4fOFIC8P4/GECdfcT+51VqIG0CrcLhsYSkoV+6bOImrpFxx67R0cbremgvKlmEQnn54X8cadL9hwKXJB4H4/P3r6+vJ1Xh6vpaaSabUysyKPlXIDgzR+JCl1V2q6Wo/xrfJsyiWRFh4evHjJS/F2JSYGOO2OpkiDxdfCCksJ/TQ+CIJA9+gn2Ja9mhPFu1l07C1GN/n4T9uTlEoyezxIZvc+BP6+gcDfN1Qp4pEw/Q0Ep4NzDz6CsXZctZ9PmFzNA2ovvreWMD41lfv8/GrM9K/A9u1w+DDodDBkCFQ4nYxNTgbgYQ8v4jVXFgR6RD9BrHdDAnXhyG5m1LAokjT1VSJ+Woool7N36mxy23f9S01JkkSR5GCVtZQ1VgM2XCJUL19f3oqKov4tqhB/O5KQ4Pp97JhrADMlKoo2Bw+ymVKkNgXEFnoRHO6KWOv2cDm7N2vZuMqND5+aSWppJ7LLU/j08Hiea/zhNfbyF7jkHq6z4CNCNqwlZMNactt05NRTL/DpynuwVMiIqWfjkZFlV03SkCSJzw5P4L/nvkWGjJGNptMh/D8AdLivgtZdKkg/q6T2+TRcuRz6P13GO2N8+XmxO226mAkMqsfh7a5+xd33mgnUhRGou/xZ33wMxASU8sUMTxbP9sTDS6RVQksSsqyo0s/ikZPNu83tZJYlQ1YDWvISPqUuofEMMZzRheKbmEUtfW1sflXFJJuXDxZff9TFhQiiiKYwD01hHn77dmIOCOLcJcW7vI4ewBQRfdMsLYryZUx62iU0RsXZ0HuKHN6tYf92148gSCiUYLe5/oYK9xIIOI7D5xAEHYTwbTQ9tZU963344XN35H2XsDXrZ9qHPUTfOs8R6BZ+2T5TTin5+A0vAHoPMuIbIBIZ6/qbpZ1WIkl3zFz5DRMiV/GeexgfVOSy31FB/xMnOGAyMTU6uuZdV0MNNdy2PP3008yePZtRo0YxZMgQ1Go1q1ev5ttvv2XlypVV1rXZbDz55JO89tprpKWlMXHiREaOHFnp1wiQnp7Oiy++yFNPPcX+/fuZNWtWpddhnTp1eOSRRxg4cCDTp0+nUaNGFBQUsH79eho0aECPHjeeqVdUVERubi4Oh4MjR44wc+ZM2rdvj8d5nSE2NpavvvqKJk2aUFZWxtixYyvF0utl+PDhTJ8+nbFjxzJkyBD27dvHF198ccPHWp3UiI3/Ambve5Pf0n6q/L9KpqZD+MPcV3vINWd2nxxTyoHtao4fULNptZb2PV1G5E4H/DjLNWJo0cHMAwNNRNe1UVJqY/PODDYsSiQ32Yc3Rvrxyow8nvvmETTS69zNNlpo19IxagEtz5pwyzxHnQWzyG/RtlJsVBcV4NC54dTeXNHmrxKtUDPNPYyp5dlkWq20OXiQBXFxDLhNZn0nTXIJjqfTnGx3K4ARZ8HdSV20lwmNVoeZgwUuw9+nk6bRxr89nwNOqwY9YcCVozbg2pWoTTYD27JXoVd50zK4e6WQ7Xn8MG5Z6WR3dpnYFjdsSnHDptVz4tXAFruRUslJnFbL+PN+HVdCLggMCgqir78/MzMzeTs9nRSnlYnlWTRW6Bio9SNSXv3FWhySxHsVOWSLdsLUalYkJqK6A2wJXAXZBJQ/h2J54ixLrcWYEXlc44dMkDGk/mRe3foAAbrQKhMff4ogkNemI3mX5OLKrBYifvwGZbmJ2t9+TlFSE5IfHUpOx+7VOjLsrfHmV1spJyoq+Co3l8eDb31Ro9uNHS4bVrp3B29veCMtg3SrFX9BQW/11QuIAdTxbnRzD87ppMG014hcvhhJJmP/mx+S07nnn293CQ5J4gdrCdtsRvJEO5ZLnpdtPD15Ozqau6s5beffwIUiMcePu3639vLi0cBAvs7Lg4nH8TgZjCS5IQgCSc2thIQ7yE5XsP+/wbzYYTYTfv8P6WWnMdtNaJU3R8RNHvAkmvxcwlYvJ2jreoK2rgfuwZNh1B/Rpspg5I8YbSXsy9+AgMCoxjNoF/ZgleUqNcQkVPX7a9HBQnxDKycOqnltmB/39inHbhMIibATVefa3oAjAhbzRO3NKJPTqT0lmQAKqiyv//RKtucJzLG786ZqEq9PPcfZqHt4/MEYMDvhniDCg1IZnjSM+EuevztnfwW4/EzLz5SwY0EZ7cOOkigdwerjd/F5Koq0eHYgqrJSDHXrUxZbl7LYeEzhUZiDQjAH1cKhv74J2dNHleRnK2jR3ozifNBk1jkF0170oSBXQUiEnUlzivD0EcnJkLPlFx27N2lIPqHCbgNC9kDraTjqrgCZK2UsUBdOkn8bmjXLZM96H7b/pqVNxzqIkpP16UvZmPE9jQPa0z7sIZoGdUIl11BWIuPtF3ywWWQ0vttCnyH57M3bzknHcQThbcoMcgxFMrz9bt+0tL+Lu0zOeLcQFluK+MFawrsZGRw0mfi2Xj18/sGI1hpqqKGG6yU6OpotW7Ywfvx4OnXqhM1mo27duixbtoyuXatOJnfs2JHY2Fjatm2L1Wqlf//+TJo0qco6AwcOxGw206xZM+RyOc899xzDhg2rXL5w4UKmTJnC6NGjycrKws/PjxYtWlQp1nIjdOrUCXBFNAYHB9O9e/cq1bEXLFjAsGHDaNy4MWFhYUydOpUxY8bc0D7Cw8NZvnw5L7zwArNmzaJZs2ZMnTqVwYMH/6Vjrg4ESbq64PBvQBAED6C0tLS0Ujn+t/Hsqgn8mrySILdIIj3i6RjRDy+133Vtu/xzl0eRp4+TGd/m4xMgsvIbNxa854XeU+TjFXl4eFXtcJUUynh5kD/52YpKM3L02eBUQEUA3PckusTP6ZfqwYjCBmRM+6bSy7Hxa88RuuYHTBHRFLRoS1bnnhQnNfnH/YL+jHLJyYzyPPaeTw/+om5dBgUF3dJjSkmBmEQn0sA0NA/mYFG6hMBgk44PagWjvUKUkNVp5kDeJlqEdAOgX6tgLGYZc1bkEhhm5YczczDaSxicOLHKds/cH0h2uoI3Py2gflOXV0SWMZl5h8dxrHAHIq5rolvkIIYnTCZ2wSzi5s9EVCjZtHQd5eFV/RtvB14xZnDSaeGD2rV54QYiBgttNqacO8ec7GzskoQAtFS6c6/KgwYKXbWkVzskidkVeWyyG9HJZGxr1OiO8VEyGFxiE8BbZzIYn+mKbmur1POcLhC5IFBmK8FDdW0B6noQHA78d24h4sdvCdryX2QO1z1giG/AiRFjyW/VrtpExx8tJXxpKSRcreZ08+ao7wDh95/kiSfgiy9g8mR44iULcbt3YxZFxuiCaK2qeu06JSefHX6NHlFPEOZR58oNViNx86ZT95MZSILAgckzyOj10J9vdAkZThsfVuSS7LRWfiYATfR6JkdG0tXHp8bL8yqUlcEFDbakxFWx/myKROz0ZPhPJgDtlXqG6wJQC7LK/kZ4bTszl+VzqGALCb7NUd6ECZ0/4nYuhToLZhGy6gcUkiva0hwYzH9X7UC6hmdzQUUWp0r20brWfde9L2OpwOtP+ZF66mIaf9+hZQx4xlWNWWEy4rt/F357tnPymbE4z0czJEx/g5ivP63SlkHhS3lYBGJcGCdGjWPVnlhmTfQmobGVtxa4Uq5e7O9PykkV2t7PY06aCYCvJogG/m2o63MXzYLuxVsTQHG+jJef9KQgU4dM4eDusfPwTzhBl6jHCNSFocnPodXw/uhTz17xvLI692Tvu+erRDmduGWlYw4MRlRXtf/ITFXwQr8Al8ga7mDAM2VkpCpY/rkeh13Ax9/JtC8KCAhxIkkS27JXEekRT6g+hsI8GTtTdrGw4GGaBLanSVBHwvRx1HKPRn/Je2XKKF/2btXQuXc5nUau55uT0zlUsKVyuUyQc1/UU6R+PJ1DuzT417LgObIb6fYd6MqtdEgF7Zp3cZpC6fhoGhF921IRFuna1mJGU5iPzdsXh87tXxX2+LvNyKyKPKxIRGs0fFOvHs3/peOlGmr4f8disZCamkpUVBSa29ym6a/y+OOPYzAYWLFixVXXadeuHQ0bNuTDD6s5i+JfxLWulbKysgs+mZ6SJF2zGl1NZOO/gCeTRtMpdPhf2va+x0xsXKUjM1XJyAcDefAJI8sXugaKj44svUxoBPD2E3l9dhGvPO6PqUyGh5eTtxbI2bFF5JuZoN8xA32rHXwedwJ13550uWSQrsnPQZAk9GnJ6NOSiV6yEKuXD+bgUIzRseyfMrNyXcFu/0c9gy7FTZAzzi2Y+eYC1thKGXzyJFqZjL4BAbfkeACmzXAiTTkCjQ1YAH9BQWe1J708vaoIjU7RgVzmurXVcm2l0Aiuv11OhoySQjml7gdYfPJdAML0degU3g9BEDCXC+RkuMTf0CiXmLM9exWzDozB7HAVQwjXx9EooB1D6Ezrgb3wOnEEgJz2XbF5eN307+JGyXXaOem0IAP63eDf0E+l4sPYWJ4NDeXVlBSWFRSw3W5iu91EoExBT7UX96o8q0SV3ghmSeS98hz2OyqQA4vj4+8YoRFcYoKfHxQWQjdjGBHxKgYdP8kWu5Eks46OOo9qERoBJIWC/NYdyG/dAXVhPlFLv6T2N/PxOnGYliMf48jYyaQMeLJa9tVd7clKawnpVivzsrN5LvTPrSCsosheo5GtBgO/l5aSbrWilclwk8tRCAIOyVUR1V0ux1+pJFClor2XF/f6+Nxx6WvHjrl+16sH0zMyMIsi9eQa7r5CNNrK5PmsTfuKHTm/8GnnHZV2HjeLlH6DCdq0jjODR5L9J0VB/shuu4n3y3OxIeGtUPB+7dq09vQkQqOpEZyvAw8PCA2FzExXdGOrVrBsqQBzYohz13Km2xk22o2kGq287BZM+14CX8/yID1ZyeHdaho2b1vZliRJrE5diFquwU3pSZBbJFEe9apN6C2PiOb7/rP5YOUHPMkCxvh+Rln9hlWExnofTqEkoSH7EoMICW4CgL+uFv66WldsU2a1oCopRm6zIjhcxVkcOjdk3j5MnlfExOG+ZJ2SqMtJBmu3Ef3hEXz378Lr+GFkTpfgmX93ewpauDyisjt2x+blQ1loJIv+W59vN9TD4PCCVLirloWXfYo4e744TEzCRRP51veaSTmpIuT0VCJ75bIlcwVFllw2pi9jY+pPRLWvh2QM4rVhfhRkKkFmR3Qo2Tp9EDzejk2Zy3nz7mXUCohmww+b0OZk4X30APqzJ/E4exK3zHQ0+TmYAy5Gfetys+h0v+u4rd6+2N31ONzcsbl7sO1sND1tvfmRPmSnK5j+ihc6KnAg0LiVhafGGwgIcZJWepzPjrzOsaKdPBg7ksfqvYKfv4P75aE8qPsK3/wShGI7Fn8rVr9iEAuxe3hi9QvgocFG8rbm02HFXDrqRboFdiRP0Yr9lsNsL99FtliE7XgSh3ZpUGtEXnxlK7mrNtH1LHRMBaUI8JLrZL6GjQHPw2OuqBJh/3o6j3D1s50qNVYfXypCwiiNr48hvj6FTVpiCbyGJ/FtTGuVnlpyFW+XZ5NisdBi/34e8PPjzchIEmssImqooYYaavgb1IiN/+colfDqB8V8+Jo3Z46pKisx1o630al3xVW3C41yMGluIb9850avR0yERTsICIFfFjspKfCgb8lmVC0+596IR6pst/3T71AX5uN95ADBG34heNM61IZi1IZiBGfVlN1WT/VDkERyOnQjq0svLAH/bCqjTBAYqvXHjsR/bWU8cuIEKkHggVtQMOJcjpP5kUehsQGVKONF90CaKt0uEygcop2J2/uT6NeSh+NeuMwTzcvPSU6GgpIiOa3vakqPqCdYnbqQjw+O5UjhNp5qMJWUE35IkoBfkAMPXzvzj7zBqpQFACT4NufZRh8QogikzvyPiP2iHzKHA5vekyOvvElmt9635Yz/Zrtr0qWjtzfB6r8WMVNbq+W7hAQOm0x8lpPDV7m55DkdLDAX8r2lhAfU3nRWeeAuu/4o3RynjekVuZx1WtHJZHyXkEAPX9+/dHy3kthYl9h49iw8VC+QIYstOB9NZamhlA5afaU4cKbkIN+efJ/BiZMI1f+9KttWvwBOjhhLSv/BxC78mIgV35J9SbVz/dmTOLU6Kmpd7td1PagFGQ9rfJlrzmdscjKfZmcTodG4ftRqwjUaHJJEsd1Ots3GjrIy9pSVYb3BbIH3MjIIUakYFBTE6LAwfO+AFDZRvJgmW6eeyDP5+QD00Vwe8ZdjSuWbE65JjUfjX7o5QqMkZfA+XQAAIABJREFUEbB9E/kt2oJcjt3Lm82L19xwxLxTklhgLsCGxL3e3iysW5eQv/i8+H+mXj2X2HjsGLRoAYsWuT5/Ka4WEUk6+h8/TprdxmhjBi+6BdGuh5lfl7sxeYQvTVpb6PJQOXe1trL8zMd8fWJalbZD3KJpG/oAHcMfvqrgdyOsXuJGFgFs7DqWxlOeQFVqqFzmdi6F2C9dUXuNZHCufhyWjg9TGpeAJBMoD4/GEuDKeAj57yqS3nwZlfHySpkABye8g9jnESbPK2L/09uYcfI/8FHVdUzhURQ0vdtVHfo8JQ2bUNLQJXJ26QIN0i389LWJ9T+5se93DR+M8yE/x3Wdx16Svt3h/gq+meNB8jEdI3UzGdZ9CkeyD/DRiFaUZdRiwnQnMpmAuVyG3r+MwKeGUvD9OEpPJiH7Zh3Fg5vx2u//4c27lxKqj8EcXAtzcC34gx2BtVxCbgeFElQlRTg0WhQWM+qSItQlRZXr9WY7J5WRdFhyN7+v03L4yzyOW+pQofWiIs8X46gKbOZS6tgq6OWA2a3kGOu7JgY9Tx2j3YBuXI3jI1/mzJPPUrehjabxebxyYhqcv+bqA50uWfc9RTJrgMdGlZHkZ+GVXy8uK4uuQ7I1kKIsFQr3HNRh9SuXbTq5gPZKcLOD3GZFl5uNLjcbv/2uAgPHnh/P2UFPA64CeYIkIarunGdHlFzN++7hfGEpYJPNyIrCQlYUFhKhVtPA3Z0kd3eS3Nxo4O5Oba32jpscq6GGGmqo4dZQIzbWQK1IB9O+LOC3H3Us+sgTm1XgqXGGPx2nGWINJL94lvkyOX7lCoLlSjo/J+e7CUH8+LkP83o/Wqk7me0mtmevpmPEw1j9Asht34Xc9l04ZLPicfo46qLCKtEESkMJvof2IIgivgf3UO+jtzl3/8OcGTzyHy02IwgCw7UB2CSJzXYjDx47xoyYGJ6tVesfS6MrtNno8PtJpLtKEKwyJvqEkKC88oD986OTOFa0k5TSo3QMf5gAXdXvytvPFTlRUugSIQfXn4Sn2o8lpz5gS+YKjhftJvjAPKAXdRLtyAU5BRWu1LcHYobzWPwrKJwSbR/phueZkwBkderBkZffxOp366I+r4UkSWyxuVLVHq0G780G7u7Mio3lnehovsrLY1p6OmkWC19aCvnGUkRLpTsdVR4kKq7eIc8X7Sy7pKKtn1LJ6vr1aXaHpi7FxLg8/M6cgTVrwPJdCDx4jnydhcMOM0lKHaIk8vnRyZwo3kPWzoG80/bn67Z7uBY2H1+OjX6dEyPGImou3heJH7yJ/84t5LTvwvFR4yiPuHZl0ivRUeXBr7ZSUpxWjldUcLzi6hMwF/AU5MQrNNSTawmTq7AjYZUkHEgoEBAAiyRSJjnJE+1st5vIttl4Oz2dRbm5LKlXj9Zet1908KVkZEB5uWuyKs23hIJ8O56CnIaKql68oiQy++BYbKKVBn6t6RTev9qPRZeVTtJbrxKwYzOHxr3tqjoMf8maY4+9nDzRgY9CwY+JiehuM3uPO4WEBFi3ziVIf/cdnDzpinjs0we8vLw50KQJfY8dY3tZGe+W5zB+uJLMtBCO7VOze7OW3Zu1DHvFQJ0OjWgf9hBGmwGT3UBK6VGyy1NYcuoDVpydx6vNFpAU8NerRJrKBH7/1XXN9uhXDnI5Np+LQp9ToWRltyTq7D5EXBHEHDoFh96oXH7o1amk9R3oWlejrRQaRYUCp1qDeH7iQFFRgUPnihDz8BJ5+JkKbOM9KYupizEmjpL6jSlo2gpL0J9HxgWHOxk+rpS7O5uZPMKPnRsuPvMujWz08hFp3sHMtnU6fl3uxvBxDpJ/6UJZhusdYzW7rm2/IAdTPqsgKPQDzF0FXhtqI/mEL27bZlDS637Wpi1iSP03qhyDJEmIksTqb/QsmulJw5ZWxs8swpDYiNXbT6MsNaDNy0FRYaLgtJUV7zoIETMJHpREWLSD/sONPNXgMIwAndmALtnAH98EjwYMIiPa5THl0LkhCQIW/0AqQsIQFQo0hfloCvKQ/jC513q4Bx899yw6KmjdrABvRSlKoxFFuYnyLDN5Vn/iGljp1rccqTya7A5dMdRLIqdjd0yRtdm5UcO0F32JrGXhw3YXxdLN9TzQjxfQ2iT8yyGoQkZvsQl9THH4Hj9GQbPWF/9GG3+l4Zsvk9OhKzntulDQos1t61N+KR4yOaN0QfRW+/CNpYiddhPnrFbOWa2sLLr4XbjL5dzl7k4zDw86e3vT0du7Wuxkaqihhhqqg+spiLJp06abfhw1uKgRG2sAXOOyLg9V0KarmYpyAb/AaxtjZzltTC/PxYwIF1a1A62LkX+WSfF3oZw8pKJBMxt20cbr2x/mjOEQBmsBfWJHVAp1okqNIfHyYgF2L2/WrdlJ8MZfqbX2J3wP7SVq+ddE/LSUrM49SH50GKX1GlTzt3Bl5ILAKF0gSrPAb7Yynjt7lpMVFcyIibmpaXWiJLEwN5cxZ5Ix+DvAIqN/RgQJgVe+bdefW8qa1C8BeKHxR5cJjQA+5w3PDYWuDrpckNM37jka+Lfmg30jya/IoPCQa8ASm+j6PThxIp0jB9Ak0FWoQ5JB7j33oi4p5vArU1zFOW5jkp1WskQ7WpmM3n5/X9y6gE4u56mQEAYHBfF1Xh4fZmZyuLycLXYjW+xGPAU5zZRuJCi0aJChFARSnFb22cs57bRU3jZdfXyYFRNDjO72H4xcDVeRGJfYuH8/YFTCL8HQJ4sV1hKSlDpkgoxXms3npS33kVdxjrd3DeaNu5dWW6TbpUKjYLchCSBIEiEb1hK0ZT3JAwZzeujzONyvP0VdIQi85x5GrminQLRTIDrIFx0UiHYKJQcKBPSCDL0gJ0qupp5CS4hMeUMTEUMkf/bYy/naUkSWzUa7gweZEhXFS+Hht+0A7kIKdVwcLCnKA6CNUo/iD8e7Lm0xx4p2opZrGdHw3eqdoBFFopYtot7MqSjMFThVauTm8r/V5CqbK6ptaHBwjdD4N7hQJObwYdfkA8Do0S7LBYBaajWbGjbkvqNHWVtczBxVFu9/KseQqmbFV+6s/8mNpZ/q+eS+1jRofHdlu2a7iV25v7I27SsKKjKJ8kr8W8e5aZUOm1UgItZOXANblWWSJLGg7FuWNT8EzWG87/M8fM6LwN83oMnPRZAk7B4XCwQVNWrG+uUbsfr5Y9d7Xh7hf0nEc17rDvyy+ejfygKo39TG6LeLee8lH0RRQO/lJLCWs3J5jtOGx+AMOBbG5jU6evQrZ/lCl+D57OQS6jW0YiyTERlr50IAntZN4qlXDbw0MAD7sZ488MxYHksYUdnmlJ2DSDYcpdRoRVzxCRzvC8DerRoW/7qNfvc2QyFTYvfyJsPkx4rv3Vn/sxt2UaB5ezP3PbyWTw6N54nECZS1asHqLcdZt20Syce+J9K9LtEBTYgNbImnewjmS4TX8rBIVu5KuS5bnei27szs9TYbV7oRVWrj/a8LkCtg8xotM8b7oFBIzHg9H7kc7B5e7Jk+v8r2FypSZ6aocTpAfr679VqLL7E7rezJ+401qV+wq3AHu9jNfC8r457/HB/NxYnMgO2bUJrKCP/5O8J//g6nSk1hk5YU3dWCwsYtMCQ2vKYn6K0mTK7iZbdgTKKTc6KNVKeVc04raU4r55w2TE4nm0tL2VxaynsZGdTWaHgqJIShwcF43QGR+beaYrudkWfOUGy3M6JWLXr4+t627/oaaqihhr9LTYGYfwEHMwycK/p7g6wbwSKJvGTMIF200cbTk+EhIaRbLGwrK+OXoiIudHdbb4tiTA9Xh2r56dl8dT4dqkfUEwyuPwm5cP2DOd99O4n79EP8d/8OwN6ps8nq9kC1ntefIUkSP1kNfGkpRAJUgkAjd3ea6PX4KZW4y+UoZTIMDgfFdjsl538XOxwIgF4ux0OhoLZWS5KbG0nn01GuVHH4iMnE06dPs63svOdqshvBS6P5eJqFK+mbp4r3MX7bf3CINvrFvUi/ui9e8Ry+X+DO17M9ad+rnOfeMFRZZnaUszPnF+YOGoCtxJ+35heQcJcNRJGwVd9jrB2HISEJcPlSya0W7LehP+MfmV9RwCqbgX4BAXx7YRR8E5AkiX1GI/NzclhWUECx4/JK3pfSydubyZGRtPoXVLRdsgT694f69V3V0q1WINgMX+0COczUhxNxvuBDljGZl7feh8leyt0hvRjTZM4NiVBWi6vi6/Vsok8+Tb2Zb52vNgtWLx/OPv40qX0H3XaRJmZJZF5FPpvtrijcrj4+LKpbF3+V6k+2/Od57z146SXo86iDX4ZuxyyKvOceRqziooG03WllyLpmlNqKeDJxEr1qD6m2/atKimny8nD892wHoPCuFhyc8O5fil69QJrTyvPGdORAaosWhP1LjdP/CXbscHk1XsDX11Xg7I9dsGK7nSb79pFqsdBYoWO8WwiSQ2BEn0DyMhU8/kIpDww0Xda+U3JSaM4mUOcq9CVJEnkV6QS5RVz3MUoSPPtgAJmpSoa9aqB734t9KIdo58tjb7EyxSVEVff1W52s+0HH3CletO1u5oUpJUiSxAZbGZ+aC7BeqKB+1APtHj/MJ9yJ8ZIxbZoJhezKD1BJghG9A8g+p2TU5BI63Hcxmnvs5h6cOS6H5YuhqC7I7BBwBHIbo4pfx5LF8cgEGf/9Ucfct7xcxQOB6AYluD0ymCNml1n/hBaLuCuwAwAGayEKQYG7qvr6EoZiGSN7B2IqkzHgmTIMRTJ++c4NSRLoN7yMfk8Zr7qtKMKANsFYKmTM+j6PsNpXfo8fLdzBO3uGYbSV0L/uGB6Oe75KIz4H9xDy22qCtvyGW1Z6lW3XbDqC3dPlYyw4HLe18PhHnJJElmjjjMPCSaeFbTYTFeenTmO0WjYmJRFa8+y8KvuNrgypNIul8rM4rZbXIyPpHxBQU3ishpvO/0OBmBqqh5oCMTXcEiRJYk5FPumijSCViqX16lXxwMu32eizOpVt3jnsrJ+JSQzDXSanT+wI5DIFXxybwurUhRSYs3nxrlloLkm7O3FQxeHdah54zIRaW1UEL7qrBds/WYLXsUOErl5OToeLJe5DV32PpiCP1H5P3FQBQRAEHtB4EyxXMq8inxLJyS6jkV3Gq3dc/7RNXFEetTUaGun1NNHrOWQyMSMzE4ckIbPKEBdE4bkpmEkLC68oNB7M38K03UNxiDaaBXWh76Wd3j/g7e/qFJYUXi70ahVuJKn7YivxRyaTiI6343XsEPXfmYDPkf2UJCSxZdFKkMkQ1ZrLqk3ejjglid/t1ZdCfS0EQaCJhwdNPDyYFRvLZoOBHwoLOVVRgVkUMYsikRoN3X186Obj86/qkMect1884qoTRFwcpKVpsW71h3YF/GQtYZTO5W1WS1+bV5rNZ+L2/mzLXknts4n0iR1xlZarknpKwcThfoRFO5gwuwiN9tqTZcbaddj10ZcEbF1P/emTcT+XQsKHb2Hz8iH9/of/8vneDLSCjOd1gSTatHxmLmBtcTEN9+5lcXw87byrp8BOdXEhslFqXYhZFKklUxLzh+rBu3LXUWorwkcTSPeox6tt3+rCfFoN749H8ikcGi3HnxtHat9BXPHheAOstLomXx70968RGv8m8fFV///yy5cLjQA+SiU/JCTQ8sAB9jsq+MpSxONaP/oONTJrojc/fuFO1/+UX3afywV5pdAIsCFjGXMPvsxj9V6lV+0hl3kVX4njB1RkpirRaEXadb8oqNmdVl7f3o8TxXsAV2T/7So0Atzbp4K7Wlvw9BYxSyJzKvLYancJtNEaDalmC1JiGeZE11jgLNC/TCBCriJarsZTcA0DBCBYriRWrqFdz3K++diLjau1lWKj0wG1D39H8pcxiE4ZXn42hr55CkFr5N0nRGwn7iUrJQ+nEz6ddl5ojF6HvN07pIRtADPIBQXtwh7ET3sxarE6rDT+iJePyGPPljL3LW++mXPxwmvfs4IHB1+7vyaTQURtB6eOqPhxkTvhtR14eIm06VbBpUF7iX4tebftStakfMFDdZ69rJHixs0pbtyco2Mno085jf+urfju24XSWFopNAK0GDUIhclI7j2dyWvTkbLY+NvS9/oCckEgXK4mXK6mI54M0fqz1WZkqaWYs2Yz7Q4eZGPDhjXP0CuwICeHEadPY5UkAmVKmindWG8t45TZzCMnTrC8oIBP6tTB7zacYKyhhhpq+KvURDb+C7hWZKNTkjBKTsySiB0JuyShEmToBBluggzNdVbQlSSJfY4KllmKOeW0IAc2NmxImyt4i+07LNLkwF6IqKCDwoNR7hdFnt+zVjJz//PYz3t4TWi5CKXM9WId9VAA6clKGrWyMG5GEcrreN8Kdhud7muDLjcLs38gJ58ZS3qv//wlv64bQZIkckU7p50WzjltVEiujr4TCTdBhrsgRy/IK/8tABWImEQnWaKNNKeNc04rFq5+/wWc9SZ/XBwak4op8wuJqWe/bB2DpYBhv7XE5rSQ6NeS8c0Wor1CNVgAZZmBMxvKmTE5gMAogXHLhMu+J5dfkQ93R57l60YTiVixpLKa5qlhz5P8yNA7ahb+lMPMy6ZMvBQK8lu1QllTTfamUFp6MUUS4K234OefYVdZGczZjwKY5xGJn+ziaG1t6lfMO/wqAgKTWn7zp95rdhuMfiSA9LOuNprdY+bl6cXXfasLDgeha34kdM0P7Jy1qDIlT598ivJa4VXSsG81aU4r75fnkCm67vlG7u48FhjII4GBBNwGA5GmTWHvXqj/60GOqAwM0PjSV+NTZR2z3cSWrBXIBBmdIwZU2779d26lxbMDsXr7sGPutxhr1/nbbZaKDoaUpWFHYlujRv+KaONbTWgoZGVBUBAkJ8O1XCK+zs3lsZMuD+CBGl/uV/gwok8guRlXj268lA/3PcemzOUARHvW5+G452kWdO81o4Q+GOfNll90dO5dzojXq0b5LzgyifXpSxnV6ANahFy9MMnthFF08kZ5FmecVuTAm+etGI7n2Gg0Ng9nvVK8E81YvC2YxWvb5OgkGRVfhcGSMD5bXoinj5O3nvPl0C6XgNSqk5nh4w14eLnamTbah50btLTpUkHaGSUZKUqEOquR+vd0qZhAm1r3M6DuGILdo27m11CJKMKrj/tz6oiKkHAHT40zkNTcel3bzpvqydplVftRderbGPtuMf5Bzqts5fKorbCXXXeUptxcQbd7EpHbL6bwVwTVIveeTmR260NJg8a3tfB4KQWinddMmeSJDqI1GjY2bEh4jeAIgNnpZOSZM3yemwtAE4Ubz+sCcZfJMUsiP1tL+M5SjBMIVCr5Oj6eTj4+1260hhr+IjWRjTVcL9UV2VgjNv4LOJhhYHe+gR12E6edFkpFJ6WSk1LJgUkSryFnQbhMRQOFjgZKLXXkGrxkVYUkpySxw27ie0sxaaKrQ6QWBGbFxjI05Mpm5qIInq0NmKYeBGCyWy2SlBdHGseLdvPGjkexOCvoEvkoTydNw2QUeLTtxfZadjQzZlpxpV/O1RAcDkJ/WUHcvOm4ZWcAUBobz6HXplHS4K5rb3yLkSSJUslJvuggS7SR7LBy9ryXXy/Rh+ntXIPoCbMKuav11TvJ69O/42D+ZkY1+gCl/PLqh0pDCXGffUjUd18iuyS116HRYIqqw+khz5LTwTWgSntuDf23jCeAgsr1Mnr04fiocZVVN+8kvjUXsdRazH/8/fkuIeFWH86/moAAKDh/2aSmwvTpMHs21Fp2gCy/UnqoPBmqu1hESJIk5hx6mfyKTEY3+RgP1bWj976c6cGPX+jRe4pYzAJ2m0DPASaGjL1y9VcAhx0E2dXnHgS7jY4P3IPcZuP0kyM517v/bROxa5ZEPjcXsNFWxoW7VieT8Wp4OKPDwtDeIk9BUQS9Hip0VoRlO5CAT/SRBMr/Oa+uwC2/YYyKoSIsslraW2op4ltLMU30enY3blyTylYNPPQQLF8OH38Mzzzz5+u/l57OSykpADytDUDxazCzJnrj4eWkW99y9F4iHl4int4iei8RU5lAZpqS3Aw5wWEOymt/xfc5r2JxuiLxojwTeDxhAkn+rS/b17mzCkYPCMBhF3h/cT4+URnYRGtlGrZdtFFsyasSPXk7YxAdTDRlcU604atQsLJ+fVpeIphPnw4bN7qqgnt5S6RaLBwwGjlgMmF0usQzuyRxxGRiv8l0UYwsVNE8JRjnrwHs3eCGRify1KsG2vUwV9HATh1W8vKgi892bz8nM5bmodYbMdlLUciUeGv++QJyJqPAsb1qGrWycCOFofOy5fy40B2rRYYkuTwpTWUyPLycjH67hKQWl/fH7E4rH+5/npzyVKbcvQyd8vq8gTX5OQRuWU/Q1t/w37UVufVi2xnde7P/rVnXf+C3GJfgmEWeaKe+mxvbGzXC/Q6anL4ZpJjNPHTsGAdMJmRAf40vD6ovL6iT4rAwoyKPDNGGQhBYGBfHo0F3Xp+7htufGrGxhuulRmy8Tv7tYuOszEzmZmRxwmq+6joC4CaXo5HJUAkCFlGkzOnEcYW/vb+gIEKuwlOmwE2QsddeTvb56Bp3uZxnQkJ4ITSUIPW1e249e8LqmNPwQDaBMiUf6cNRXxJFeSB/E/MOjWN884WEe8RxYIeayc/44e7hEhIcdoGO95czcqLhuiZ2ZTYrUUu+oM78j1AZS5EEgZT+gzkx4iWcOrc/b+A248B2NZNH+BEc5mDuz3mVn9tFGz+emUuUZwJNgzpVfi5J/2PvvMOjqNo+fM/2ZHeTTW/UEEooIfReVBQURVFAKb6gYEOsdOmKgGJDsaCAqKjwKlIEXxGQjjRpgUACCaRBerLZTbbOzPfHYiACEjSh+O19XV6yu1POzGbPnPOc5/n95CtOkMO2bqD9i4959vfR47JJaHGgPK+zs/fNTzh3570AbBywmw9O9kNUqChu3pLE5ydSGN+mui6z2hlnySBZtLOoYUMej4i40c35V9Oxo0errVMn2LEDvvgChg2DpkMLOTrsCBoEFvjVIeCiBQ2X5ESBAqXiryckiQc1TBoejCwLTHynALcb5o7zuMaOnFLEXQ+WVdh2zVIDGakqsjNV+AdIvPff3PIsnIsxnD5Fh5GD8c3OAsAWFkHy48+R/sDDSNcyO61GSiSRHS4LG50lpIqeiWhtrZZPGjSgV1DQVfauek6fhuhoUA5JRxyeSqxSx2xj9QZlDKdPISsU/0iT8Uo4ZIknSs5QIot8ExvLwGqWW/j/Qk4OHDwIPXtWPjlrUmoqs9LTEYBxugi+HFCPcxmVD1bENCsl/N7F7PediF30VHsMaPACg2LHlm+TdkrF1CeDMRcpqd+ikAYvjuHXjO+o7deIWZ1/qFQJ9s1EjuhiRmkWZyUXERoNG5o3p4n+74953JLE6oICnjmUQp76vK5crhbF2kjGddfQvuXlsyJfeTyYxIOePnPaR/m06FC5LMJrJU10kC+5iVFq8b/Mc0OWZVx4KniuhiTLnBYd5MtuSmWJMllCg1BekRKuUBOsUJF/VsUbYwJJPaFBqZKZ/XkeDZpWrDTJLctk7NbemJ0FdIi4h3FtFlzzooXSZiN47w4iN64jcuNajo6dQdqDg4FbRyc7T3IxzpJBkSzSNziY75s0+X9rfrI0O5uRJ09iEUX8BCWjfcMrJF78Gacs8cFFMghzo6MZU6vW9Wqul/8neIONXiqLN9hYSf7twcZHjh1jeV4eCqCbyUTvoCBqaLWEqNWEqtWEaDQEqVSo/lQ+KssyBS4XW4qL2VhUxFazmaSysstmQQaoVLxQowbPRUURWEmnuTlzYOJrbnyW7cNmdPCA1sQwn5AK27gkZ3kJ9dJPNHy/IIRmt6XR+149b44LQhIFJr+fT+sulR+0aooKafr2DGqu85RU7fjsvxS07niVva4PZ5JVzBkTRERNNwOfKblksHoxyxcY+fYTP7r1LuOlmUUAFNpzmLvvGY4X7iVSX5d5t28qv38VkGX0GWcorVW3/HXc7Emcu70XOW270q9tJIgSyxfvplbRcQri2+AMDEaS4OkuemqXJfPol2HUanZrr0iXSCLDSlKRgIz27f9VGok3I+PHw5tvwldfwZAhkJgITZqAr16m2daD7LGUXLYfuJicsoxLsolspQIvPhJKTqaK2/uU8vwMT8njdwsNfP2hP6GRbj75MQeFwmNuMPL+sEsCFPc9d4CHBinw1wZfMgFUOB3UWv1fGix6H5+cc4CnlC35iedJ7/PwTSMbIMsy21wWvrQVUCC7UQkCq5o2pfd1DjiuXQv33SejWbYXZ5iNZ31CuVN7IYvKLbl4bfdQ2kX0pEeth9Eo/9nvzi85kQ7PDELSaNix6AdskTX+6SVUYJ2jmM9sedTV6Uhu2/aSZ6WX64csy4w8eZJPzp7FICgYVxjNsZ/9MBcpKClWUFKkpKRYgaVYgc5HpkZdF2FRIiePakhK8DwLBUGm74hc7B1f4Zf0r5jdZSX1A+IBWLbtZ76b1BfRGoi6xhFcg7uBj6c/qW9qzuT2X+Kvvf4B/L/LCbeN2aXnMMsitbRaNjVvTsxf1atfA/lmiYhRmbj7ZkCgZ6wiALUVGhqrfAhUqCg9Lx8To9QScjSIWaNCeGColYFP/7UuokuWyJfclMkSEiADRkFBiEJ9iaP9HxRIbr605ZcbaAGEK9QECErc5yWCLLKEWRZxI2MSlNRUaohSaPARFGgQ0AoCGkGBFoHTooM9rlIK5L82clMjEKZQ4Y+Kc0d8KNznR+SBUN79rIg/J8EnFx1k4va+iLKbl1vNp2uNv29iqLKYkVUaRB+PvEed/35B4/dnk95nAKcfeezC+O4m5ITbxmRrFm5kptauzYy6N66tZrebpLIyzjmdmFQqglQqIrRagqrANTvb4eDX4mJynU5kKP8PPBIy350v9YhV6nhZH04ddfmRAAAgAElEQVSI4urnlGSZJfZ81pzXEJ5fvz7PRkX947Z68fIH3mDj/z+6d+9OfHw877333jXt5zWI8QLAs1FRdDeZeDAk5Jq0vARBIFijoV9oKP1CPeUtJW43BywWkm02Clwu8l0uaut0PBYejvEaJ9ydOwNlKjQfNsA2IYE1jmI6q43EXORWenGg7MDvnsykBN1boD1A9/7f8Ouy2iz9wJ+WnXIrrf3vDAjkwMx5ZNzTl6CD+yoEGoP37aQwrtXfLpPMSFURGCKiN157gN5qEZgzJojsDBXZGSoO7tLR7jYbT4wvJjjs0kyBPyZODZp6StdPFO7njb1PUeTIwVdl5OGGL6ESLh24+J84SrM5kzGePsnGNTs8QuSCwJFXZgGgwCOeXpinJE1bH/Xtdcr3zTqtIrfMhFnXmqjYc9d8jTcbR9wej8Smer030HgdmDEDHn0Umjb1vG7YEAwGsFoF/iPUZg8J/Oww86A2ED9FxRJgp2jn48MT2JH1I+90/5maxvrlny2YbSInU0VIuJvhYy6UTPcZXMrKL4zknlWReEBD09ZOEg9oOJehQucrET5sNGeOBsK2Kfy4qowfg7oQoA2laXAHWobdxm01+wEgabSc6f8o6X36U3vltzRYNB/f7CziXxuPtXY9Clq1r/6bVwkEQaCbxo/2agPzz2c/PHT0KOvi4rjjOhrIHDsGNCnBGWZDi0BnTcVywf3ZGzmct40zJYncWXvgPzqX6dhhOowchKbETHGjplVuACbKMqsdnsWc0TVregONNxhBEJgXE8N+i4X9FgvLg7N49WmPKcXVKMxV8O0nfmxYqeeHz8JocexD3pv2HDUCPIsb+TkKfpj6IKI1ACJ+xzW4B0pfK23D7+GuOoNpHtLllspq3OosYX5ZLi5kWhgM/NisGVFXqTi5FoL9FTxtqsXHQ2rw2Be5HKybye9WK2ckJ2eczku2D4kp5LHNBXTQ6PljaiHJMmclFyminVTRQYroIEt0UiRfXvdQAQQKKgyCAp/zmuIyICGT5LbjQEbAY3yTYreTLbnI5vKLtsWySLHbRgJXrvoBT8VOE19fTCoVRpUKuyRhdrvJc7lItdlwyjKZkotMXNDUBk0LOdsvk1e3hTHtTl2FDMoGAS3o3+B5liW9w6dHJtE0uAOBur+XKe02VtSNDdvxK+pSK/W+XUz0ss/J7n4XiaMmYI2uf4Uj3DgaqXx4xieUD2w5vJqWRkujkfuDq94I6K9Ym5/PsydPku64fLJCqFpNY72eOL2e1kYjbYxG6vv6XrWvSSorY2lODmvy8zlSenmt/D9QAA/rAumnDaxUHwagEAQe9wlBLyj41l7IlNOnGRwaiqkKgqNevNzqDBs2jOLiYlatWnWjm3JNDBs2jC+++KL8dWBgIG3atOHNN98kLi7uBrbs+uANNt7idDGZLmvS8nfwU6noHhBQJc6nbdqAVgvm9UHcOyOUtbZc5pfl8Jax1iUr17IM2cmeEldlzYMk5O9CqN0alW8aZ076sv1nH7rd89cDxj+T17E7eR27l7/W5Zylw8jBOP1MnH7kMdLvf7jSGoSSBN9+bOS7hX4EhohMnZ9PnQZ/vRr+5+v7YFoA2RkqQiLcNG3tYOs6X/Zs9qEoX8nsz/MqaMrJMiSfDzYG109n3oGZbM1YgYRETWMDJrRdSJShYjmh2lxE7EdvUef7rxAkCbfOB9OxwxXuwR+YgkUK85TnHakvDNSTj3nOWS/WdVWtzFuBA27PQLCXV2j7uqDTXQg0gkcnsWVL2LYNfI4E0rKpgQNWK2scRdxjCWX+qwHUru/iwWEWDH5azI58XJKDDw6+zMS2iwjQhbL1Jx+2rPNFoZB5eXZReaA/y5LCqpQFOBr2gN8fY/6So/QybebMqvEAdOlpI6fxfpS+mYjbJ0FGZyiqQ1HAGbZnrabMbSkPNv6BpNVx+pHHSHvgEeqs+Br/pGMVAo0Kh/2m0HPUCgpe8A3HWXaOPa5S+iQksKRRIx4KCbku5WqJicDdnsWIjmoDPn8K0PyS9jUAd9QccPnM60oSeGgf7Z/7D2qrhcJmLfntw68umYD/U3a4LORKbkLUah7z6mPdFGgUCr6NjaXF779zTLTxg6OI/rqr9+GBoRLPTi0mNt7JJ7NMHNyl472XGjP943zUGpk5LwfhNGsIrl3I0LdOYvJfQE2/htXihlydZIsuFtny2Hf++XZ/UBBLY2OrRRvv/fdh5kwF/v7hQDjnHA52ms3sMJsxiyIBKhUqQeCrnByynU4+sefyiR38BSXBChVZovOKJng+CgWBKhUKQUAAcl0u7JJEvuwm/wrruR39/JgXE0NrPz+KXC72WSxYRRGNIKA5f7xQjQaDUkmKzcbR0lJSbDbKJAmbJFEmiuX/j9RquT84mDtMJnRX0L8VZZl0u51Uu508p5NzTifvn8zmjLGUY22zeDZPw+zgyArGZ/0aPMfe7A2kmhP46NB4JrX7vEo0YPfMW0LI7m1Ef7OI8B2/ErF5PWHbNpLWdxBJT7+MI+jKFQM3gju0fpwWHax1FjP8xAnatGlDZBUGw/+KAxYLAxITy7VHAwUlQQoVZbKERZYokUVyXS5yi4vZUnzBHEolCNTSaqmr0xGp1RKqVmNSqbCKImZR5HeLhX2Wilm70UotUQo1AgIXf8saQeBOjT8NVH9vzNBPG8hOp5V0t5M56enMqVfvbx3Hixcv1w+n04nmColfvXr14vPPPwcgOzubyZMnc++995Kenn49m3hD+BeEFLzcjGi1noDjjh1wx/EYdsUUcsbt5Gt7Af/RBVUYfGVnKCkr0aDWyLw38C2+Sn6V3ef+h7v9TPh1FoveV9Chh4xG8/cHbL5ZGdiDQ/HNPkvsR3OJ/WguxbHNyO7ag5wuPSiObcbl0icdNoF5UwPYtdFTylKYp+SV4SFMfLeAZq0vXd2/GNENueeU/LrGE1hUqWXGzy0kskEhnfrbeHtkM5ITNKz91pf7h1zQnDubrsJaokCtkXgzvSOiwjOp6FajL083n4OP6iI9Jkmi1qplNP5gDtriQgAye97PsZcmYQ+7vIFPYLBEKlCUX/F6Tx71DJgbNPvr67oVkGWZgy7PPe15HbO+vFSkTRtPsHH/PoHJvWvz4LFjrHIUkfpzCAd26jiwU8f67/U89JiFJ/vN5eXC20kuOshj61sSYu9C4XvrARjwpIXYeCdpJSf45vhc9mb/gowMzc/A74+RvbcNS34bjHrDNAB6PFCKoe7raFroeH+bk4S9Oh5x76dpp80k5O+qkDlZbM/jzf1P06vOo3SM7I1K50Pq4BEVrkObn0u3QXeTOvBxUoY8We5kfaNQCQJjfMOZVXqOg+4yBiQm0lSvZ1KtWvQPDa10FsXf4chJER72lIf10FYM/p0rPcOB3C0A3Fnn7ztQh+zeRtuXhqOy28hr3YG9732OW2+4+o7XgCzLrLR7shqfj4rC9wYZ7ni5lBhfXz6sX5+hJ07wrb2AGKWWFurK6RDe3qeMOg1cTH8miFOJGqY/E0x4DTenEjUYTSKvf+gkLKpLNV9B1ZMvuVjnMLPWUYwLGZUgMKFWLabXqVNtv3dBgIuN2SO02grVMH8wo04dPjt3jo+yski22TwGheeNZ3wUCuINBloaDLQyGmmq11NXpyNIra4wDpRkmVynk3SHA7PbTYkoUiqKKPBke4VrNNxmMpXvE6BWc9dfLCQGqtW0+YfSSUpBoK6PD3XPlzIDPF+jBt1nZbOj4Wnygp28UpLFa8aocoMslULNCy3fZfTWe9ifs5EfUxfSp94T5funp6jIPK2ifhMXweEiguAZZ+aeUxJew436SuszgkBeh27kdeiGIfUkjefPIWLzeup+/xW63Gz2zvv8H11rdTDUJ5hE0Uaq28HQEydYHxdXbQtikuSR+Fi0ysGuR49iEyRaqHwZow9HL1Ts2+2yRKboJF1ykup2kCLaSREdOGWZ1PPB5SuhAFqq9HTRGIhX+V5WN7QqUAoCj/oE8XrpOeZlZfFsVBQ1vRU6Xrz8JVu3bmXs2LEcPnyYwMBAhg4dysyZM1GpVKxdu5YhQ4ZQUFCAUqnk0KFDtGjRgvHjxzNnzhwARowYgd1uZ+nSpQDs2LGDiRMnsn//foKDg+nbty+zZ89Gf14XuU6dOgwfPpyTJ0+yatUqHnzwQZYsWXLZtmm1WsLPL2qHh4czYcIEunTpQl5eHiEhnsWi8ePHs3LlSjIzMwkPD2fw4MFMnToV9fk5x/Tp01m1ahWjR49mypQpFBUVcffdd/PZZ59hNHqqjEpLS3nmmWf44YcfMBqNjBkzptrud2XxBhu9VBudO3uCjUe2aZjXK4ZHT5xgpaOIRLMT66TGDBzgoHNPG8lHPaOr6IYuokw1mdD2Mw7lbuNT9RzO7n2OkpwINvwg0/uRsquc8coUtmzHxjU7idy4luhlSwhIOIDpeAKm4wk0WvAuO1//lF217iemsas85piTpeSNsYGkHtegUsk8PtbMzvU+HDvgMbMZ9EwJvfqX4mvwLMO7JRdWlxmHy8EXc2qxZ30oovtCQO+JccXENHGx/sxqPk6dALeNgB8/4/P3NXyvuJOG0QHEh3RBc+xJwJNhaIrqgt1tY3Ds2HLdqXJkmY5PPUzI/t8AKKnXkCMTXruqRmVAsGcS4MlsvMAf30P9prd+sDFN8pRq+SoUdPav2mwoL5WnzXlvoX37YH5wMI+EhrIsN5cDd52CDXoizHrOZaj46gN/igoaMW7oApYcm8kZ83Hyvnkd7D5Qcwe3D9IBEdjcpezJ9gQg24bfxb0dhvPezyUUnvXD+ON6LA4lNeq6aNDMhSB4MgG69rKRsFfHrvV+PDKiA02DOyC6IStNRWaqil+OnCYxMJ3EglEsTJhKoC4cncqXEJ8oBjYaTaQhmlqrl+OTl0OT92dT97uvSO/Tn4z7+lMWdePE29WCggn6CL63F7LOYeZoaSkDjx9nVno6c6KjuTswsMpdlSUJEoPzwFckRFTT+E96jOvPeAZoLUK7EaGv87fOEbZtI21fHo5CFMnp2I19by0s1y2rSg65yzgjOdErFIz0amLddDwaFsamoiK+zMlhduk5phmiaKKq3N9BdCMXr36az9QngzmVqOFUogaFUmbcm4WERV2+hPdmRJJlEtw21jvN7HZZ+UNw5Q6TiQ/q1yf2HxjBVCU+SiXP16jB8zVqUCqKHC8tJd3hoKGvLw19fColT6AQBMK12quaD95olILA2lERxHYP4NyYQ+RG2XnFmslrhigilZ4xVG2/RgxrMpkvE2fRJvzO8n2LCxVMGBZCmdVzPwKCRZQqmfxsz1SsYZyDVxfkX6IF+Wes0fXZ+84iAg/socl7Mzkx8sJkUmmzIWo0cBMsnqgFgZd9w3nZks7GoiLezcxkdM2qNxNbsQKmToXEkyK8dxQEBxGy5rKBRgCdoCBGpSMGHbefD+5Kskyh7CZHcpMruSiWRMznjYN0ggK9oCBQUNFWrcdUTQHGP9NapaexUkeiaGf6mTMsatToupzXy/8/ZFmmTLq8+Vd14qtQVNk4NSsri3vuuYdhw4bx5ZdfcuLECZ544gl0Oh3Tp0+nS5cuWCwWDh48SOvWrdm6dSvBwcFs2bKl/Bhbt25l/HhPhVRKSgq9evVi5syZLF68mLy8PEaNGsWoUaPKMxQB3nrrLaZOncq0adMq3Var1crSpUuJiYkh6CLddaPRyJIlS4iMjCQhIYEnnngCo9HIuHHjyrdJSUlh1apVrF27lqKiIgYMGMCcOXN4/fXXARg7dixbt25l9erVhIaG8sorr3DgwAHi4+Mvacf1wmsQ46Xa+Okn6N0b6taFkydlFmSfZXRKCnZJgmI1vm81YuEcB19/6Me6ZQbuG2ytoMnmlly8/ckxfvusN4EhIgt/zibHdob5B8dgdRVjd9toFdade6OHE2m4NpdSbUEeoTs3E751A8H7d3FHwyR27AsjupGTTxrPptbxHXyU2pcfHPdhNkUy4e1CmrR04nTAu5MC+W2TZ9Lja5C45+FSgnos4dOkFzzZVtsnwKbZnhOpbBB4ks69Shn9Yi0EAX5N/45Pj0xGlsGx+Ec4cxtEb4BH70Kl1ND5UDpbfgijzxALg1/MQau8MMFSlpVWcNduPnM8UevXcOLp0ZweMLRSGVdff+gpCe/V38rTr3jut8MOg7pEIroFPl2XTWjkrTMhuxw/2Av50l5A78BA1v4/0MO4WUlJgZgY0GggIwNMwRKxK46SGlKIokzJ3JAoklcGsmC2CZVK5sPVOYRFimz+RWLe+JooNHbipz/N1LtfLz/md8kf0D6iV3l24n8/M/LNRxf69mEvmXngP9by19YSgWE9InC7BN5bnsPpJDWL3zZhMV+YABvC81A+fhtmzbEK7dcotMzqspIY/2bUWLeCpm+/Wp5BDJDT6TaSRrxAUXzrKr9314JVElnnLGaNo5hS2TNg7G4y8XnDhtSpwkDdvn3QdudBiDczUBPEw74XMoucop3hv7TB4ixiYttFtIvo+bfOobJa6PqfPhQ3bsahqXOrzRX8detZ9rlLeS4qivfr33y6Z17AKUk8ePQo6woL8UFghqHGNZUlnjnpcZ4uKVbyxPhiej/y1xprNwtnRSebnSVscVrIu8jApJu/Py/VrEmfoKAqX0jwcm1s2wbd+zmQ5x6G2mUECEpeNURRU3mhvyq0ZRPoc0Ge4amX95Gz+QG0vi5cDhWSeOE7FAQZWRbo2MPGmDcKK61TjixXsHtv+uZUgvfv4thLU8jr0O0fX2dVsN5h5mNbLmpBYG/LlsQbjVffqZIcOQLx8Z7boBmVgvOhDChR0eLrxkybeG3ySzcjSW4b462ZKICENm1ofJMsMHi5dbmc6UepKGLYvv26t8XapQv6a1gY+SvNxkmTJrFixQqOHz9e/nz86KOPGD9+PGazGYVCQatWrRg4cCBjxoyhb9++tGnThhkzZlBQUIDZbKZGjRokJydTv359RowYgVKpZMGCBeXn2LFjB926daO0tBSdTkedOnVo0aIFK1euvGq7ly5deuF+l5YSERHB2rVradmy5RX3e+utt1i2bBn79+8HPJmNc+fOJTs7uzyTcdy4cWzbto3du3djtVoJCgpi6dKl9O/fH4DCwkJq1KjBk08+ecMMYm4dNWwvtxydOoFeD6dPw5tvCoyMimJcSis4pQeTi7KJiSxZqyjXJ2zwp4w6lULNyyPi8dF7DE1SjqtZl/o5xwp2k1ZygpyyNH46/QXPburGzN3D2JT+Xxxi5QYXjqAQMvoMYN/bn/H6jBPs2OcR8U49ocHvh59oeHwj8xzPkkEt0g0N+c/yEdRfPJ/wY3sYMzuffmMPElarjDKrgu8XGVkxYQhyUW1I7wibXwPA0HcCTd7pwR1zZtFzSEb5ePD2Wv1Zdm8Sy+9L4oP36qPWSJB6J53zfqBV6G0cPeRZAGgY5/QEGiUJv6REms2ZRK8eLTAdO1R+HcnDn2fTyq2kDh5R6dLOgBBPMOKP1XSA00kaRLeAKUgkJOLWDjQC/P5HCbVXr/GGEh0NsbHgdMK990JBjoK8kU3giD+Sr8j0skwaPFhA83Z23G6B5QuMuF3w3YceDdd+Q51M7vVahWP2b/BchTLo7r0vZDwrVTLd762YAW3wk2nV2VMWNePZYOZNDcRiVqDVSUQ3chIYImLNDsH0/e9Ma7GOaR2WMq7NAuKCOxNtakZd/yYgCGTe248NP+1h/6wPyG3fFVkQCNu5mY4jB6Gy/OVzttoxKJQ8rAviE2MdHtAGoEZgS3ExrX//nU1FRVVyDlGEgYuyId4MMtyhqzhh3HV2HRZnEUG6CFqH3XFNx9ann/akTQJug5Htn//AgdfmVVugMUd0sf+85p3X6fPmRaNQ8F2TJtxuMmFDZkZpFoddla9wqFPfzfvf5zJnSd4/CjSaJTd7XFaOu21kiy7c1bBInye5WO8wM8GSwUhLGt85isiT3fgrlTwVEcHh1q3Z0qIF9wcHewONNwFdu8Kkp7TwYjyKM3qKZJFJ1ixOixcMSS4ONB47mUfO1nsAcPTrhWZSGLFjRnPb9Pfov/A1Hp+7GZVKZtdGH754X8+h3G2cKNxPhuUkkvwXGUcX/S0obWVErV+D/8kTdBw5mLiZExDcldcXry7u0vjRTq3HJcsMPH6cMrHqxpg//eQJNLZ42IL4UAYAwlsNOfjfQPZuvfXLjhuqfGin1iMBH2Zl3ejmePFy03L8+HE6dOhQ4fnYqVMnrFYrmZmZAHTr1o0tW7YgyzLbt2/nwQcfJDY2lh07drB161YiIyOpf37x+fDhwyxZsgSDwVD+X8+ePZEkidOnT5efo3XryiUb3HbbbRw6dIhDhw6xd+9eevbsyd13301aWlr5NsuXL6dTp06Eh4djMBiYPHnyJZqOderUKQ80AkRERJCbmwt4sh6dTift2rUr/zwwMJCGDRtW9jZWC94yai/Vhr8/fPABPP44TJkCcXHw4Vg9lLQkcGEChbWK+aV1KsovPWWuDeIuLd9VayC+vYPfNvmwf7uO5g90oWFASzTuEPauq0Ne/Tkcsf3A/pyNHMnfQZeoPtfURtENn3/gSWHu1c+KSgNPLV9IL3EdQ4NX0ahgL6bMFEyZKfDLGux+/vR55y426L+j6ZjOjM14g3cXNyUrLQDjFydRa6BIUnDPHZmMHDUIV+BzACjsNmquWIo+/TSSRosjOBR7UAgBwWG8MLiA+Z834OBX9/POtx145kwozThCv+P/pfbqXQQcOYDGciHjM3LDWoqbeNKhbRHXPlGu1+i8w/VhDZLkkapMPq/XWL+Jk1t9HnPEVcYx0YYC6H1RerqX648gwMqV0LGjJyuuZUuw5Ctp8EVTTJ8eYa/FwtTSLB57Wcnhh+uwZa0vPr4yZ9NV+AeI9B1qvapDbGikSLO2dhL26mjT1Y4p8NKJWbe7y8oNmVQqmUeeLqHvUCtKFZxLVzLx8RDSkrUsm3IHXe/2LFj0DHqIuK7ZKM+XYYmySKFQgnh3X7Lu7os+/TQxSz7CGRiM23g+s1IU6fbovZgbNiGvbSfy23a+rsL9RoWSYT7B3K3xZ27ZOU65Hdx1+DBvREczumbNfxSkGPLfLFIGnATgdslUwRQBIFxfh7bhd1E/oAXKypaZiSLR3y6m8QdzOP7sOFL+8xQALv/q1Vn92WlGBu4MCKChb9U6XHupWnyUSlY3bco9CQlsN5uZUZrFCJ8Q7tFWzhjPFCRhCvr70iAZooNXrJlYLgr4+KKgg8ZAF7WBEIUaqyxilkUyRCdnRAc5khtfQYG/oMRfocRfUOInKPERFEiAiEyZLFEsucmX3JwQ7ZyTLpi1KfAslA0ND6dPUBA+N0FJrJdLmToVNm7UsPuFeHTvH6aktpUp1kym66OI+VMG7s+f1wdJQ0CTQ4iNDlHiLOS44R2OA2TC/fWeYtT0eN6bHMjqL0ysLtgCrT8FwKgJIC64M02C2hFhqEttY8MKgcw/EH18+XXFZhounEf0N4uou2Ipurwcfp/zIaLPjevnBEHgWZ8wkt1pnCgrY0xKCh81aFAlx960CVBI5A1NQgQ6qQ2E1tOxcjssmO1P01aOcqmjW5V7NCb2uEr5OieHufXqefWFvVQ5vgoF1i7XX8vYt9Ip3FVD9+7dWbx4MYcPH0atVtOoUSO6d+/Oli1bKCoqolu3C9ngVquVp556iueff/6S49SqdUFCSV/JbGO9Xk9MTEz564ULF+Lv789nn33GzJkz+e233xg8eDAzZsygZ8+e+Pv7s2zZMt5+++0Kx1H/KbFIEASkG1ACfy14g41eqpVhwzyDga+/hvvu86xANmmiZHP/JtRafRB7eBnirAR81tQgP6QMjaQm4E8T1dZd7Py2yYfft+sY+HQPAD6d48+m5QbiO3zN/Df2sDVzJQ6xDI3y2lYyN63xJSNVjdFfYsjzJRiMMnlDQrCYHye50aOcKSrE//gR/JOOYd//IwfcyWzI/A6AMH0kIxc/wOiCPByCFkuxARElQRSg2iSSY+vO7g89GmayUknc7EkoLrOi2xV4yLcbHSxbeO25IGKlRI7QHC7S+3brdOS170bqI4+R37bTNV3jn4lp7MJHL2EtUXA6SU29WBcnz+s13urmMG5ZZqHNY17xTGQk0dWg9ebl2mjYENasgTvugOxsz3sTn1PzYPPm9E5IYIfZzKLQNJoM0XNsaQjrlnmMQB5+2oKPvnKThGEvlrDsE5khoy6fYdi6q53YFg4kEZ56xUx0wwsT+4haItM/ymfSiBCSjmhJOnIhm+65GQru6FOGLMssPDKV3ed+ZkqHL4n2b0Jprbocnjq3wnn8kxPLtWBrr1oGQGGzFmR360l29zuxRDfgekTzw5RqXjfU4JOyXDa7LIxNTWW72cznjRoReI3mNqIs88qxNJZFnAGg8ZlgRjW/NNDTKLAVr7RbTGWlWQIP7qXZm1MxnTgKQNChvaQ8+mS13x+HLLHR6Vm88WY13hoYVCp+iYvjyeRkvsrJ4VNbHpmik+E+IdVqhpQjuphmzcIiS0RpNGgVCs46nZRJEpucJWxyVl1GsxJobTTSLySEwWFhRNzk2oVeQK32jG07d1Zz7tnmCG8mYG1cwjRrFjMMFwKOqSfUbP+fZ0I6ZXIkdRoeItV8lMO52yiwZ+MQbTQIaEGnpjbOZZSwfIEfrPsIUyDY6y/F4ixi59kf2Xn2RwD6N3iBwbFjL9smlymAo2OmU9CiLa0mPUfEtg10enIAu+d9gTPwxi2++imUvOgbzrTSLD4+e5ZegYH0Cf5nTvAOh0cXngGZZPpYMQgKnvAJwedJC7s2+pCTqeKn5Xr6Dbde9Vg3M81UPoQpVOSIblbk5fFo+KWBZi9e/gmCIFxTOfPNSGxsLCtWrECW5fKF9Z07d2I0GqlRowZAuW7ju+++Wx5Y7N6IpZMAACAASURBVN69O3PmzKGoqIjRo0eXH69ly5YkJiZWCBBWJYIgoFAosNk8CQ67du2idu3aTJo0qXybi7MeK0O9evVQq9Xs2bOnPCBaVFREcnJyhUDq9cYbbPRSrQgCfPwx7N0LJz1JMbz3HoT4qFkYFMeQvANQpwzb88lMOl/lFCSoaKDS0Vzlw20aP1p28pRAnkrUUJinwMdXZvNazyrtod90FCU1ZnDrip3Bb2d/4mDuVp5pPueK2Ty2MoFvP/ZkJPV/whNoBAiJuFBK7AwIJKdDV17Tr+fnQM+kONq/KU/GvU4zVT0EYSsAWtmBFkeF48uqCz8vWa0h477+uH31CKIbXV4u2oI8dPm56PJzMMUHoNgjk3laTSZNSPOtj7ZVLfLad6Egvi0l9WOrzAFXqYImLZ3s364jYZ+WerGui8xhXFfZ++bmf85i0iUnQSoVr9ate6Ob4+U8nTrB0qUwYADUqQODBoFGpeLnuDj6JCTwa3ExWcOSYLU/WDRE1nJzV9/Klz3Wi3UxaV7hFT/XaGH24vwrfl6ngZvXPs3nx2/0OOwC5gIlxw5oWfqBHx172JDVFo4V7KbIkcPE7Q/wdNxsbqvV75LjWOvE8Nv8rwjeu4OQvTsxnThKYMJBAhMO0nj+HBJHjefkcE+2s+ByIiuU1SbkrxUUPO8bRgOnjkW2fNYUFBC/fz9fx8bSxVS5rLBjpaU8fuIEey0WAAJ+juLVfj5/6Sh6texJbX4uTd55lZr/82juuAx+JD4/kTP9hlyXQOwOpxWLLFFLq+Veb+bzLYNOqeSLRo1o7OvLxNOn+clpJktyMtY3AoOi6n9DhZKbqaVZFMoiTfV6tsbHE6hWI8ky281mluXmsjIvD5skEahWE6RS0cDXlzi9nvq+vlhFkTynk1yXi1ynkzyXC6soohIElIKAn1JJhFZLmFpNvMFAV5MJP5V3SH6rER0Nhw/DE0+oWT0mDt44QmmzEiYWnuWp/Npkrg/g1zWe8WqXXmVEN3IBCmJMccSYLtWTfuQpC4V5Sjb8oMf67SdM/mAG2pjdHMrbRkpxAjll6dQw1Ltqu87dcQ+7gkJo9+JjBBw9RMenH2HLtz/fUOOY5mpfHtCaWOUoZnhSEoeMRqL+QVD9t9/AHlgGj50B4DFdiMe8xUfmvoFWFs41kXTkSvbetw4KQeAOjT/f2AtYeO6cN9jo5f81ZrOZQ4cOVXgvKCiIkSNH8t577/Hcc88xatQokpKSmDZtGi+//DKK8xmUAQEBxMXF8fXXXzN//nwAunbtyoABA3C5XBUCcuPHj6d9+/aMGjWKESNGoNfrSUxMZMOGDeX7XgsOh4Ps8xkXRUVFzJ8/H6vVyn333QdA/fr1SU9PZ9myZbRp04Z169ZdVQvyzxgMBoYPH87YsWMJCgoiNDSUSZMmlV//jcI7svFS7RiNsHw53HmnR7ethyc5kUE9dMwfEM/uGpnUv60Md6idNLudAtnNby4rv7msLLcX0tcQQL14EymHfDiwU4fbBbbSCz+cpe/7M+eLvPJ5al5ZFm/vfxa37CLUtyb9Goy6bLv+t1xPUb6SsBpu7h5w+cCGW3Lx/sGX2Ja5CgGBYU2mcG+94SgFJS5g/YbfUZcUo7JaUdlKEdwizoAAnKbAS/TGDk176/I3SJYR3C76fmJlxWIjIDBt+B76Pv733bevRlxbO/u36ziyV8vt95WRk+npCmKa3LqZjcWSm29tnoDTrOjoa87g8lK99OsHR49CYKDHMAZAr1SyqmlTWv7+O6dsNsLeOU7uU814fEwxquv89UU3cvHCq8UAuJww6qEwcjJVrFxiYNBImVldfmDuvmc4nLeNeQdfJCF/F0/GzUSnulCeJvr4kNvpNnI73QaANi+H8G0bCN/yCyF7d1LQqn35tlG//Ej8a+MwN2xKYVwrCuNakt+mEy5T1ZUQC4LA3VoTDZU63irLJsPhoOuhQwwODWVOdDQ1dJfPBD9ts/F+VhYfZmXhkmUoVSJ8Uo/Jg1SoVBUXJMpcFlae+pgetQcS5vvXTqNh2zfRctLzaCxmZEEgre9Ajj87/rpl3MiyzE9Oz3f8TGRktWbFeal6BEFgQu3aNPT1Zcjx4xx22xhnzWCiPqKCMcc/JUt08mrpWXIkF9E6Hb/ExZU/TxSCQDeTiW4mEx9XUSmol1ubkBCPXMiiRSrGTInD/MoRXM1KmG9Mh8NGKFYSGunm0eeungkrCPD0K8VYihXs/tWHN0aH8sYXHRjYqM0l28qyzOqUBdxR62GMmkufG4Xxbdi+ZDXtnv8PJ0aOvSkcqgfrgjjitpHqcjAoMZFNzZv/pVv5hx/CtGmwYQO0aFHxs42bZBidDBqJOJUPt2su6JjVbeR5Tp1O/neMA2/XGFlmL2Cb2UxyWRkNvPIfXv6fsmXLFlr8qTMYPnw4Cxcu5KeffmLs2LE0b96cwMBAhg8fzuTJkyts261bNw4dOkT37t0Bj6Zh48aNycnJqaBtGBcXx9atW5k0aRJdunRBlmXq1avHww8//Lfa/fPPPxMR4dGjNxqNNGrUiO+++668HX369OGll15i1KhROBwOevfuzZQpU5g+ffo1nWfu3LnlQUyj0cjo0aMxm81X37Ea8bpRe7lu/Mk0D4D8fFixAoYOBZ0OrG43v1ut7DKbWXD2LGkOT7agn1lHyaOtaN/Gzdl0Femn1Dw4zMLaZXqcdgWvvFtA2+728uP+dPoLPj3iSUV+qP4oBseOq6D9JsvwbN9QzqapGTWtiB4PXD6wZ3WZmbyjHxmWk7zU6n06X6Mm5LXgdMDLA0PJPK3m7W9yqRdbfVmGp5NUvPRIGDofiZdnFTHrpSCi6rj4cGVutZ2zOjnqLmOxLZ9U0UFLg4G9rVp5Awm3EPtKSuh48CBuWWY4YdxnuvF99a6NOt4cG4RGJ/HhylxCwkVEWeT75A9YfuIdJCRqGhswrvUn1PS7etBBWVaKqNWVT/hi579Bg0UfVNhGVigoahJPTpc7SOs7EEdwaJVdj02WWGzLY6OzBBmPVk5zgwG3LCPJMoFqNWEaDcVuNz8VFFCuALMzCPXH9XnxhVI63Wm/5Lh/9LW1jA2Zd9vGv8xsNKYk0/2RnpTUb8ShyW9gbnx9neIzRAfPWdLRCAKZHToQorn1s17+v3LIYqHP0aNkOBwogNs0fgzQBhKm/GfBheNuG7NKz2KRJaJ1OjY2b05drxyHl0pSVgZfr3QzRjxCSa0SkKFjTgjPR/uj01R+TOJ0eAzNjv2uJa6tnRmfFJSPnw/v0SK6IcE0lZWnPqZhQCte7bgMreryf6cKp6PC4rfSVnZDNRzPiU5etmRgQ2JSrVrMjI6+4rZdu8L27TBqlEcD/mJinj9HyoNJqESB+abahF/02y+zCgzqEgnAl5vP4We6uTXNKsNMaxb73WWMr1mTOfWunt3qxcvl+CuHYS9eLqaq3Ki9wUYvNy1OSeLL7GymnDlDttMJh/0RxschO5RodBKLf8lm5edGVnxupFaMi3eX5VZYuP3m+Fz+mzwPgPYRvXix5fvlWUjJCWrG/ScUrU5iycbsCtpwxY58VIIKg8ZTalhkzyWt5ATxoV2r/ZqtJQK5Z1XnS22qD0mCoXeEYylW0ry9ncO7dXTvXcaLM6vGufZ6kSE6+cKWx363J1hsUCrZ3Lw5rb2/9VuON9LTmZCaihaByfpImqlv7Mq9LMOkEUEkBhcT08bG3IfU5YG0hLydvPP7cxQ5cgnShfNJj52orzWzShTRZ6YRkHCAwMO/E3RgD36pyeUfb1q5FWudehcaU0XB81NuO4tseRwXLw0cXowxyR/LolqYTvsz6b1C6je5tE+SZZkXNvcg3ZLEiKYzuLfe8AqfCy4nQQf2kt+uc/l7AYf2U9w0voLMxPVijb2IxfZ87goIYH3z5tf9/F6qlmyHgyeTk/mxoADw6B720QbwiC4Q7VWMpf6MLMtsdJbwqS0PFzJtjEbWNmtGqDcg7eVvUCqKPH/yJIvPl83VU2rprDYSq9JRT6lDXYn+PCdLybN9w3C7BCa/n0/rLg4O79Ey/ZkgFEqY/t0O3ki8D6vLTLvwnoxr+2m5odmV8DmbQZfH+pL05IukPTSkSq7177DDaeGtsmwE4H9xcfQMDLzsdjVrQmYmxMZCYuKF908WOmiwcx8Y3fRzhjAk9FJpkGf6hHEuQ8WMj/Np2LqIDEsy9QPiq+mKqp/dTitzys4RplaT0aED6htcGunl1sQbbPRSWaoq2OjtqbzctGgUCkZERrIhLg4/pRKam5HHJoEg0+1uGwajTN9hFvRGifRTaj553YTzItnEQbFjeaHle6gUGnaf+5mx2+4lufAAQLnmY/s77Ci0ZaSVnOCXM18zbdcgHl/fim9PXHB/CtCFXpdAI4DBT672QCN4HKibtfaUTB/e7elA6je9dUqoy2SRJbY8XrSksd9dhhJPWeTJtm29gcZblLE1a3JnQAAOZKaWZrHUlo/7Bi6GlcoiipnHYOIJTvVI452UC2UIzUI68W739TQP6cKTca9fe6ARQKmktHY0mff248ik2Wxe8Svr/7eXQ1PeIGXQ8AuBRqDllBdpNeFZwrZvQuF0/MVBPRQXKDi0W8vlDOpiVDpmGWrwuqEGE3wjmKyPZLI+khd8wxiqC2aQLoj3DbVxvdwc9gUxed7lA40Axwv3kW5JQqv0ofufNCyNp07Qbci9dBw5CP/EI+XvF8W3viGBRoDD5xcl7gyoXrdrL9eHcK2WNc2asbtlS+4MCEAEVjqKeMmSTqLbVunjFEtuZpWe40NbLi5k7gsKYnN8vDfQ6OVvo1cqWdSoEcsaN8ZPqSRFdPCFPZ8J1kweNafwRuk5fnWWUCy5r3iMsCiRewd5zE2WvOtPXraSd14JQJYFRLeA7UxjJrZbjEqhYU/2ehYlTL2qQVetNf/FJzeb+JkTaPL2q6gsN6a8rrPGSC+NPzIwMDGRY6WXShk5HJCV5fn38eNw9qzn325J4j8HksHoRpVqYGCI/yX7ZpemERnjmf8mHZd5dfejTN7Zn2MFe6rrkqqd1mo9JkFJjsvF/wqvrFHtxYsXLzcTXs1GLzc9TQ0GfmjalDsPHkG+Ixc0Eo1jjYAKg5/MsJfMfPSaiQ0r9aQcVzP2zUIianoMXm6r2Y8IfR3m7H2CDEsy6ZZk6hpasn29p9zkQPjjPLxu+SXnTDUfRZTcKBX/3p9IszYOdm28UHZzsztRy7LMSdHBTpeFrU4LxbLnO74vKIi36tXzatjc4igEgR+aNOGFU6dYnJ3N944iDrnLGKwLIl7le1Xjkaok2W3n7bJscnxcKCQBSSGzPTiPaLNAX89KHiZdCNM7fFOhXUmFvxPiW4NAXdjfOq89PJK0BwdXeE9lMRP5y48oXU5qrF+Ny2Aku2sPsu7qQ27H7pc1jpo3NYCDu3Tc3qeUZ6cUo/xTNyYIAk2uUHIHUJinwF6mQKGQqR1z5cWPn898CUCXqPsxqM9P+CSJeks/I3b+GyhdThymALQFeZW8A9WHS5Y5dj4AdecVsmi83Jq08/Pjl+bNWZOfz9PJyZx1OplkzeRujT+P+gTjc4UsR/F8NuPX9gJKZBGNIDCzbl1erlnTK8PhpUp4ODSUTn5+LM/LY4fZzA6zmXyXq1yXHKCWQkMzlQ/NVL40UflgvMjwqN9wC5tW+5J5Ws2YwSGYCy98lnxUw5Du7Xip5fvM3f80P53+gjDf2twf8+QV25P01MsANFrwLjFLP6X2qmWkDnyMlMEjcPlf30WYx32COS06SHLbuevwYXa2aEGdiyQL0tM9Sf1/8OuvcPfDLgYcO8ZuVTGI0Hp3bZQtK45dRVnk7f0jUQRNBR4kPVmHtpEOh2jjtd/+w4yO39AwsNV1usqqQyUIdNUYWeMo5qucnH/s5u3Fixcv1wNvGbWXW4Yxv2TztupEeT5uQ6WOQbogmqt9OfiblndfCaCkWIneKPHOt7mERYnl+5Y4i9iY9g19Y0ayZ7MPc0YHofTLQXwxEhQSerU/NQwxtAm/k06RvYkw/PudjLPOqHi2rycoolLLfLvjLOqbJJFDlGXyJTc5ksszGBXtJLk95kF/EOPjw7yYGO7xOsr+6/guN5cnk5Mpdnu+72illrs1/jRQ6aih0FRbIKBIcrPUXsCv53UN6+h0fBndmAdmF1J4/xmQYZw+nI4XCdH/QU5pOmO29UYlaJjQ9tOqm8zIMv7HE6j143dEbvwJXX5O+UeOgCCShz9H6uAR5e+5XTCoawROu6ejbHebjdGzC9FcQ/Jlwn4NU54IIayGmwU/5lx2G7OjgOG/tMEtOXm72/+oZ2qG6dhhmr0xmcCEgwBkd7mDQ1PnVqn25N/lqLuMydYsQtVqznXs+JeO2l5uXYpdLsakpLDofPlqiKDicZ8Q6ig1mBQqRFkmV3KTITn43l5EhuQJVMTp9XwVG0ucwXAjm+/lX44kyxywWFhTUMCPBQUcslorfC4AdZVa2qsNdFMbCVOqWbdMz2dveMqEdb4SPR8qZfVXRuLa2nl1gUdCYE3KZyw+OgOFoOS1jstpEtz+z6euQMSv/6PRh3PLpTvcvnqSnniBU8NGVv1F/wUWSWSSNZN0yUmMjw87WrQg7HxG8S+/QM+e5zcUZHqONZPc9wSn7XYEuwL59VhG91bSpVfFLOY/dIQNZx7BuuRbatR18fZ3aczcPYyE/J34qow81+JtOkTec12vtSpIdTt42erRHc7u2JEArxGil2vEW0btpbJUVRn1DU3bEgRhIvAg0AiwAbuA8bIsJ120TTgwF7gTMAJJwOuyLK+4/i32ciN5665wGm3Vs8E/k1XmXJJEO9NKs+igNvB4u2DeWeZi1otBpJ7Q8M1Hfrz0ukd/MD9HwbSnG2Lwm0bMsyUXSqh7FtC76/fUNNa/rJPfv53I2m4CQ0QK85REN3Jd90BjoeRmi7OEU6KDM6KDbMmFAlAg4EbmcnLevgoF9wUF8XBoKPcEBaH1atb8K+kfGkonf3/eyshgwdmzpIoOPrR5zIu0CDRU6YhX+RKv8qWuUvu3sx5tssRul5U00UmW6OSo24bt/F/ekLAw3o+JIUCtZu0AIx1XOODec7xZls2d7jKG6oIxXJSBIiFh0oaQYUlm0s7+PB03ix61H7mm9kgSWM0KFCoZg/H8QqAgYG4cR0LjOBLGziDgyAGiNvxI1M+r0RXmV0j9UJaVcjpZh9OuQKOTkCWBPZt9eO35IKbNL6i0w/fZNM/QIKr2lUv8lie9i1tyUt8UTz1TMxrPe52YLz5BkGXcvnqOjp5KWt9BVaY1+U857PKUUPcICPAGGv/FmNRqFjZqxCOhoTyRnMwZu503ys5dcfsglYppderwVGQkGu/zxEs1oxAEWvv50drPj1fr1iXf6WSr2cyvRUVsLi7meFkZqaKDVNHBN/YCGit19HsgiJrf6clIVfPslGJq1HWx+isjpxI1SJJHFue+6BGkFCew8+xacm2ZNLlKO87dfjfnuvck4tf/0fCzefgnJ96QvtqoUDLNEMVEawanbDb6HzvGlvh4FILAmTNAsB3NfzJwts9jfYgT7BDkVlMwsjnCGT3NpmdXOF6hPYeliXMAeKBzO5YuOf88c/oyqd3nzNwzlKP5v/HGvie5p+4whjWZjEZ56wRc6io11FZoSJOcfJeXx5ORkTe6SV5uUf7tyWZe/jlV9TdyQzMbBUH4GVgG7MMT+JwFNAUay7Jcen6bXwATMArIBwYBM4DWsiwfrMQ5vJmN/0JynE5mpaXxYVYWIqBBoL8ukGanQ5gwKBxBkHnn21zqNHDz2nNBHNh56WBi3nc51I658mT6/9i77/Aoqq+B49+Z7ZveEwIEQg29SRdEVCwoWFFERQF7QcWKKHZRQRGk2BUVCyqKP19FBUG6AtJ7SyC972b7zH3/2BASCD0Q0Pt5njzI7uydO6vu5p4595yzlRCCHZqXxX4ny/1OBNDRGEJnUwh1yrv1GVGIVI28+VQUf/zPTv8bnAx/9PTU7inRA3znLeInbwk+Dv/5Y1YUGlitpNntdA0Pp2t4OJ3Dw7EbjlwAXfp3yff5mJqZyW9FRaxyOnFqWpXnGxss3GyNpc1BDWX8QrBP9+ETgnoGc5WtlG6h85O3mO+9xZSKquOdExbGxMaN6RZRtQ7U6Kd1XirdDgODhaMiFQMP2BNobwo5MK7fyZurHmB59i8AXNLgFm5tNeaIixm/D2Z/Esr/fRVKcYGKriuoquCKIU5uvKf0sDcBFL+f+GULKWrZDl90MLu36fQ3SJs2njxiyQ2pj699Gh8v78pifxfaPpTK5TcduSnMfh9OCOf7GWH0H+xk+CPVfy58s3UyX259k9FdPqJtXE9SZn1KuxcfJ+Oyq9nwwJN4405sK/mp8ogjnW2alw+bNWNoUlJtT0c6DZyBAM/s3s3s/HxyfD7KyouYxplMpFitXBgVxaP16hEps4OkM0S218vPhYV8mpPDvOLiit+Q2ooQ+hUk0L2xAS0Ag89NwutRmTQrh3qNgr/HegIuMst2kRpxtFDjQYQgYeFv5J/THc0e/D6LXr0Cc3Eh2ef1Oy1ByEzNx0OOdDwIJjdpwj3JyTw4xs+bTVdBvfLMxTIDXU2hlL3ahHW/h3LuxS4efrlqU8PX/76bRft+oHFkW8b1+oHhFyVTlG9g3Me5NGvjJ6D7+WzTq3y3fSoAnRP78WSX90/59dWk2Z4iPvLk0yM8nEUdOtT2dKSzjKZpbN26lfj4eGLkzjDpCAoKCsjNzaVp06YYDlp7n7XdqBVFiQNygd5CiIXljzmBu4QQMyodV0AwA/K9YxhTBhv/xdY6ndy3bRsLS4IL4kTVRPQXDdk4tQ6dzvXQ7QI3k56JwmQWnHeZi/lz7AQCCqlpPiZ8Xvt1xGqKJgTbNQ9L/E6W+JzkiaMHUdsa7QwprcP8TyK5ZpiD6Ljqcglr1gq/kzfKciqyx7qGh3NVbCxtQ0NpbrejEgwSmVWVJLNZZiBJVWhCsNnlYl5REXOLivi9qAh3eQChldFGuGKgTOgU6QH26T72hxEVgp8NNkWlVNcoFhqB8mVcI6uVS2NiaG630yokhJ4REdX+d+f3Q/v2sEEtJuqFrRSFuzCiMDokqUrAURc6X299i5mbXwegbmhj7m8/gabRhy4K1v9tZtpLkezdVX2wI6WJnwdfKKRB02O7KdLmxSdoOGtGtc8VEM3C975F7dj4qOO88EA0fy+0cccTxVxy3aGF+wEMbheBvVtQmrQPPqBpRG5eR3HLM6/bp0PXuKV0Jzqwt1s3ki0n0NBHOuuVaRoKyBtW0llhr8fD6xkZvJ2ZSUAIFKCbKZSrLFF8cHtdNq62cN/YIvoOcNXoeRW/jz6D+hG2axtZffqx5omXTsvNo5+8xbzjziNEVVl7zjn0/GobWSmFhLhMxHzRiPQv4ujRx8viuXYMRsHkb3Mq6rMD/JO7kLFLB6Oi8lrv/9EosjXP3RPDqiVW7nyyiIuvPfA+rcyZxycbX+LRTtNJDmtU3XTOWIV6gOGlu9CB7V260Mh2+PrLklSdrKwsiouLiY+Px24/vTXRpTOfEAKXy0Vubi6RkZEkVXOD/mwONjYGtgGthRDryx+bC/iAm4Fi4DrgfaCtEGJ7NWNYgMoriTBgrww2/nsJIfgiN5dRO3aQ6QvWX1ImNUZ8WxeLVcfrUbn5/hKuutVJ9l4DC36y072vu+Ju8InQhDjuunE5WrAouENoaIBAEKoYiFQMhCoGRKWtw1ZFxaaoRCkGElRTtefaGvAwz1fKDs3DHs1XJUvQrqr0j4nhmrg4TIrCDwUF/FRQQGF5DTx/+f/3EYqBkfYEWhmDWWEeobNX97FX82FQFLqZQg9bXP94/egt5gN3HjrQPjSUFxs25OLoaPklJ52wHJ+PF/bsYVr5YuxgEQYDNoOBbN+hzY+a2GyMSUnhhvh4jMe4fXLePOjbFxSLzoXzNjHXl4cZhTEhdWh9UGbl3zm/8/bqRyjy5tI/dRjDWz9b5fkfPw/hvdeCdbgiojWGPlhCu65eQiN0Vi+28vZzkZQUGVBUnfhOy7GeO43I1N20ie1Om7ieJIakHFr+QQge72/GnJnF6OEracsaIjatx750Jaoe4KrLMrjnheCCK/GPuXijYihqe2htybsHxpO5x8Sz0/Jp2+Wg7teaRv3vvyRt6ng0s5k/vviFQNiZ/d26xOfgVVc2Lex2NnTuXNvTkSRJOmbbXC6e2LmTb/LzKx5L2hNJ1rA29Bvo5q6nig95zdq8xXy99S0e6TSVcMvxNcRSvR6avTuRxh9PRQ0E8IVFsH7UWDIuv+aUZjnqQjDGuY8NmpsYo5GCQAC8KrfsSMW/IZzPpxz4nrl0kJPbHz+Qda/pAUb+cREZjq30T72N4a2fA2DGpHC++SCMi64u4+6D3idd6KiVfr89+O9nsrHOffwTcDG2QQOeadCgtqcjnWWEEGRnZ1NcfOhnhyTtFxkZSWJiYrXr9LMy2Kgoigr8AEQKIXpWejwS+BK4CAgALuBaIcTcw4wzFnjm4MdlsPHfzxEI8NjOnUzNDG5z5LVm8FMSTVr6eOWjvEM6sh6v3ZqX5X4nq/wutmkeIhUDjQ1WGhoshKoqVlRUoFTolAgNv9CxKComFNYH3GzQ3Ec9R3XMKNQ1mKmvmqlvMBOjGvndV8raQNXxwgwG+sfEcG1cHP2io4+YvbGprIxBGzeyrqz6rKX97Kj0tYTT2RhCiKJiVVScQidP91MoAigoWFAwKQrm8j9DFAMpBjMhigFdCHZqXn7xlfCrL/hZdHtSEpObNMEk62NJNWSH2813eXlYVJVIo5FYk4lWISHUtQTrOeb5fKwtK8Oj68SZTBXbKE8kc/baa2HWLOjZR8f+2gbmOgpQPCr1P2xOcy2E1DQfffq7MFvA4Sti1tbJ9E98FEWzEZugs63oQ++UzgAAIABJREFUH379Ko6504JBr44X76LxdTNI9y8nxpZYsUgqLlQZfv9fBDZcceDkLb+Ea64HBXrUuZxHzpla8dTc3Z+RRGfGXHkeABdNuQdhK8KnealbcB0rH2vDZtJ45cM8mrf1csEVPQnZu4fC1h3YMWQE2eddhG62EPDDoO510AIK7/2cRWyCjrmokJjVyxELviJpyULq5wcDkGXJ9fl73FSKW7Y9wX9zp8cUVw5zfaU8kJzMm02a1PZ0JEmSjtt6p5NXMzL4PCcnmLX/SQqpS5OZMLPqLh0hBA8vuISdJeu5PHU4w1qPPaHzhW/dSPuxo4jctBaA/A5dWPv4CziapJ3chRxBlubjAUf6gZvnL6YxYZiCz6vw+NA4AKw2nWlzcoiMObAbJ710C2MWX4eOztS+fxJqDt7IW/yrldcejaFJSx+vfXr43Uyrcxcwa+tbPNf9SwxqrbYzOCYLfKW84coh1Wpla5cup6xpnvTvpmkafr+/tqchnYFMJtMhW6crO1uDjVOBS4CeQoi9lR6fBHQGniRYs3Eg8CBwrhBiXTXjyMzG/zAhBKN27GDC3r2gg/p6M964TT2p2oxuofOxO5+ffSdX01ABzo+MpHVoKMbyXwwK/H5yfT4KAwEMioJRURBC4NA0HJrGXq+3YpvowYyKwuD4ePrHxNAuNJRGNttxBU/cmsbDO3YwPTOzSjOWehYLaXY7uzwetrlPLEAKkKAa8QlBUaWaeONSU3mkXj2ZzSidtdLToXlzcLvBFKLhH7seOhWBBnzUAD5LoX03L09MKMBsgQ2rzLz4QAwup0qDpj4Kwn/B8fflwcHOfRHOfyr44QDUCUllygULK841/u97KNlTl5IFN5OxpCO6ZqDJ3c+QmTyRNrE9uLXu+3wwPoLOl2/nrZI2sKU/zJwDcRvgnlYV49zSYjR7P3uC378PoWGai/q3X8HEn3VazVuMwR/M+vSHhJLbrTc7Untw5zsD2GltzszFWST/8i2dn7y/yntQbFNJv2s0ewYNRT+eNte1QAjBnY7d5OgBfmzdmstkjSJJks5iX+bmcv3GjaCB8kB7vni3DIut6lpu/5Zio2Li7b4LSAipf0LnUgIBGs2YTrN33sDo8aAbDCz47P8obdaiJi6lWvu3UzOzHrzTiE8XZmKzCYacl4S7TGXQ7aXccJfjkNeV+UvJcGyleXSnisey0g3cNSARs0Uwc1FmtUkHAd3PiLldKfLmcGPaY1zb9L5Tdm01xSN0hpfuwil0pjRpwl3JybU9JUmS/kPOumCjoiiTgQFALyHErkqPNwK2A62EEBsqPf4bsF0IcecxjC1rNv7HCCG4d9s2ppRnOPY1h3PrQZ1jj4Vf6KwKuHjPlVdRA/HymBj6x8RwfmQk2T4fK51ONpSV4dA0nJpGQAhiyzOnbKqKS9dxaRqpNhuD4+OpZz2+rneaEOxyu1lfVsYGl4v1ZWXscLvpEh7OqHr1SDnO8arj0jR85QFNs6pWZETqQvBLYSHTMjPZ4nLh0DRKNY1Io5EUi6Wi7plH13HrOp7yn2yfjwzvga2XoQYD/aKiGFGnDv2ij287jySdiZ5/Hp5+OvjP7bpohI3Zxp8hwa6YysooxPNptG+pc+HAMt4cE43Pe2hw3Xze6/h6P0K0LYFmUR1pGtWehhEtaRffq9pzfjwxnO8+CqNpax/jPg5maIy9O4Y1y6xExHqo/+RANnx3PvqfjxLXYy697p6D1WDHZLDQPr43EYEWjLgkEb9PgbtaQ8J6uhpaMGZ9Mn1+X4MtP7fiXA8xnk9TbyLxoSuxbFrFX2+72RgL81MVSrv2JXXgi1ijzo7FzW7Ny0hHOlZVJa97d0KNZ37WiiRJ0pEM3riRmbm5kGFjrNaAdu0OvaH+zJLBrMlbSK+6A3mo4+STOp8tax8tJzyHubSEJdNmnvKmMRt3wJPXJBMSpvPZwmA3+bnf2tm4ysIdTxZjsx/b2lXX4cZewSDlW7NyqH+Y8knzM2YxcdVIjIqJ18/7iQbhpy57s6b8z1vMu+48ooxGtnbuTKz5MN3kJEmSathZE2xUgulNk4ArgfOEENsOer41sJZgd+pNlR7/BdgjhLj9GM4hg43/QboQPL5zJ69nZCCAaMXAXfZ4zjGFHvF1ebqfVX4XK/1lrA248JRv5WhgtfJ+s2acHxV1xNdLQYV+P2uczmBB84gILHLLtPQv4vfDu+9C48Zw4YXBdddHWVncvW1bMBM53wzPtYB1wa1cnXq5ueOJEtatsLB6iYUmrXxcfmMZAeHDqJiOKdO3uEDl9ssS8XkVnp2WT5lD4dVHDmTp3XhPCWtXWFn3l4V7xhRx4VWHNg14aWQ0KxbYSL18NunnDCKgB7MaQ9RQ7tIv5MbdUah/ZPDy7luZ0y6KsoGXoOoQq9lJrd+LG9Meo17Y2bUN+XN3AV95CxkQE8Ps1q1rezqSJEknrcjvp87Pf+EJ89Fsdyzj2h36u+mO4nU8vOASAF7v/RONI9uc9HlVjxvdGmxIYiotpsOYkWy+4yFKWpz82JWtWGDlpZExpDb3HbJNvLIdxevIKttNjzr9D/s9+uRtsWxcbeGu0UX0u6b6ZjpCCF5eMYwV2XNJjWjFq73mYFTP7C71mhA87Ehnt+7jjqQkpjVrVttTkiTpP+JsCjZOAQYTzGrcUumpEiGEW1EUE7ARyAJGAQUEt1G/BvQXQvx0DOeQwcb/sMUlJdy6eXPFduDzTGEMs8URVp7lGBCCzZqbleUBxnS9aiOJRLOZwfHxPNuggcyIkSTpiDaUlXHthg1scrmC26o/bEivkljuf7oYYw2sW955JYKfvgwlrZ2XvGwD+dlGmrX2sWWdGVuIjq6B16My8eucaktHLPjJxhujo0lu4OeFmRuZn/EVc/d8RnbZHgBsxlC6r8zg9+8iueSWdEL7TaBHcn/qhTXFoJydHXzvK91Dhu5jRvPmDElMrO3pSJIk1YhhUwv5IC1YT3GkPYHzzIeucd5YeT8L9n5L48i2jOv1wxE/x0uLVX7/3k7XPm6S6muHPW6/Vq+PpdFn7yEUhd1XD2Hz3Y/gi6qZ3Sv7G6h1Pd/N4+MLqz3GE3Dx0B8Xk1m2kxuaP8ygZg9We9x3H4fy8ZsRtGjv5aUP8qs9BqDIk8v9887H4S9mSNrjXNP03hq5llNpQ8DNaOdeFOCvjh3pGBZW21OSJOk/4HiCjbWdbnQXEAH8QTCguP9nEIAQwg9cCuQBcwhmOd4M3HIsgUZJ6hERwZpOnRhVrx4q8IffwX2OPTzt3Mv9pXsYUrKDp5z7+M5bRLruQwV6hIfzQsOGrOrYkcxu3RjfuLEMNEqSdFQtQ0JY0aEDNyUkgAEYvov0R9awTTnx2qeVXXmLE4NRsOkfC/nZRuKSAjw7PZ/UNB/uMhWvR8UeqlMvtfqtYuf08mAyC/btNlGSnshVTe5mSt8/earrx7SM6cK5yQPITg9mrTRrEsqNaY/QIDztrA00ZmheMnQfJkXh8tjY2p6OJElSjbkpLRo+SQFgkiOXHQHPIcfc0nI0dmMY24vXsDzr58OOtX2DiYcHx/HxmxG8+2rkMZ1/+813knHJQBQhaDhrBhde1pWW45/Dmpt1YhdUSU5m8HfuhOTD11t/f/0zZJbtJMaayKUNhx72uF6XuFAUwcbVFnL2Hf67LMoaz23lzXS+3TYFp+/M79Tb0mijlykMAQzbvJnSwInXp5ckSToVajXYKIRQDvPzUaVjtgkhrhZCJAghQoQQbYUQM2px2tJZxmYw8FqjRizp0IE0u51iobE24CZd9+EhWGPxpoQEZqalkdejB4s6dGB0Sgrtw8JkIxNJko5LqNHIx82b82GzZkQZjezWfTzh3MtbrmyK9ZNbCMQlafTpf2Ab2LBRJVhtglseOHBTsUlLH4erWmAPFbTvHlyQLv41GFRUFZVOCX15sec3jGjzPJl7gou85AZn/6Jlid8JwIVRUUTIG0aSJP2LnHsuXF7YAJZFoxkET2TkkJ5ftaFgtDWBEa2f58GOk+iWdGm14/z6rZ3Hb40jLyv4GbnuLwte99F/9/XEJ7Lqpcksem8Wxc1bYXS7aPzpO1zQvwetx405qWvLzQwGBROSq8+wXJL5P37dMxMFhZEd3yLMfPgSRzHxOm06B+uI//E/+xHP27vuVaSEN8cVKGXRvjknOPvTa6gtlnDFwJqyMq5cvx7vYZpKSpIk1YbazmyUpNOmS3g4qzp25PO0NGY0b86vbdqw/pxzyOnenU/S0rg+IYFo05ldo0WSpDOfoigMTUpiS+fODCvfujvP5+Aexx5+8hajnUT5kmuHO4iI1uh5kYsufYKBw7ZdvBVBxJYdq5aC0IRgl+Zlvq+UD9156MN3Qr9s5m8PENCrzsPvslCUH1zkJdU/+4ONS33BYOM1cXG1PBNJkqSaZTDA998pjAtPQ8m04ovyMWp7HvkH7TruU/8aete9stqb57PeD+Xt56MI+BU6n+cmJiGA36ew7u9jbzZS0LErCz7/P5ZOnkF++y4Y/D4QJxfw2p+BGF/n0O+hpZk/8daqhwC4qsk9tI7tfsSxDG4XA3puI4xSFv5o5Uhfv6qiMrz1czzT7TP6NRhy4hdwGkWrRp4OqYMNhXnFxdy4ceNJ/Y4hSZJUk86IbtSnkqzZKEmSJNWmpSUl3LNtG6udweBXlGKgpdFGS6ONeNVEqKJiRGGP7mNnwEuO7seiKFgUlVjFSDdzKCmqucpiUQgIoLNH85FsMBMoNbDoFzt9LndhtQnydT+/eEv51VdCsag+O6S+38rzMUlEqMGMlu0bTYy6MZ6IaI2Pf88+9W/MKZSp+bjbsQcDkNOjBzHyRpIkSf9S3691cuW+1QibRujfsUzvGkVINf0Q9zl2MHvHNG5rNZb/+zSBTyZGADDojlIG3e5g+kuR/PJNCJcOcnL74yUnNJfo1StwJdXFk1gHgMj1q2n2zptsve0+itp1OurrhQh2kHY5VSbNyqFepQ7SX295i882vwpAm9iePN1txuEbuWga/S7qiLXwQJ1GHQVXRBxlLdMo6NCNbcOCdRlVr4em70/CnpmBLTsTRdcRqlr+Y6AkrTUbH3iyYpzGH0/FlVSX0sbNcdWtj262HPf7VNPW+l08V5ZJAEFzu50BMTGcHxVFgd/PNrcbl6ZxeWws3cPD5a4tSZJOyvHUbJT7iiRJkiTpFOoWEcFfHTsyLTOTp3btoigQYJHfyaLybb5H86W3kLqqiVZGOxGKAbuiskXzsMpfhgeBHZWLLOH0uiqMBZqX5U4n/wRc7M8tCTcYaBcaStvQUHQh+Gq5i7wYB+l2D0849/JMSDIJBtOBLdQp/4KsxvL39vyoKBlolCTpX21Am1DepyW35a7D2Smfkb+ZmHJpKKZKCYq60Bm/8l52lqxj+XdplP4Q3Oo8+O5SrhvhAKBDDw+/fBPCysVWhCjhRGJShe07V/l7kw/fJvHP30n883fyO3Zl6233ktetN4cb3Fmq4HIGN97F16l6o6xhREsUFC5vNIKbWzxxSKDRUpCHN6Y8k91gQBiCGZJCVVF0HRVBaEkuoUtyUXRREWzUTWYafzwNg89b/UUdNNem707EVHbg+ztgs+OLiMKVVJf8c7qx5a5RR3iHTo02JjsP2xN5w5XNZpeLzS4X4zIyqhwzLiODBlYrN8THc2NCAi1DQk77PCVJ+m+RwUZJkiRJOsUMisI9yckMS0xkucPBguJilpSUkOP3UxwI4NI0mtvtdAgLo5nNhk8InJrGXw4H/1dQwF7dz17foZkmVlXFpevM9hYz21u1oH3viAjuTk7mythYTJUKOfZcBTfc4UIdv4bMeC+POzN4yJ7Ivj3BTpZ1zvJgoyYE833BxfPVcgu1JEn/Abe2iWbPkmY869tM3nlZTFyYwqgLDkQbVUVlWOuxvL5gDEVzngCg0/WLuHZ4AyAYTGvT2YvRKMjZayQz3VgjN5423v8kvogo6s+ZRezKZcSuXEZxWhs23/kQOef2PSSQl7MvuDSNjNFQLV62F22icVTb4HwT+/JWn9+pF960ymsMrjJavvkidf/vO37/bgHe2HgAFr3/Db7IKAKh4axbIHj7QSMtQnfy6r2L0OJiDgygqmy/+U4CdjvupLroJhPrcxexYPdXtI3uTte2Iw4cKwR7Lx5IxNYNhG/bjNHjxuh2YXS7sGfvwx9RtcGOqbQYf/ixNd05Wd3MobQ2NmR1wMUKv5NtmpcoxUAdg5mAECz3O9nt8fByejovp6fTJiSEmxMTuTUxUZaRkiTplJDbqCVJkiTpDFYSCDAnP58tbjcFfj+Ffj+NbTYGxMbSISyMnwoKeHPvXv4oLqZzeDgDY2MZGBtLM3v1xfD9fujQAdZneYl6Zy1F0WUAmDdE4JvWkKEXwcCbyk7nJdaohT4HE1zZRBqN7OrShUi5iJIk6T+i3xe7mJu4B3Ohhc8b1sN4UDBvwW9+3nikAcRugntb0KPO5VzT9D4aRrQAYMwdMaxbYWXYI8VcPvjkvwdcToWpL0ZS9FceL8S9xqW7PsDkdQOQdV4/VrzxfpXjl/xq5dVHY2ja2kv0vVfyT+5CJvWdT5ytTrXjx6xcRvuxDxOydw8Aq56dQMYV1x1ynBaAEZcmUphn4PbHi7l00JGvbVXOfJ5bdhNm1cK0C5cQbU049CBdx+QsxVxchLm4EPu+dHxRMeR17QVA6K7tnHdDP9Ivv45tt92LOyn5qO/XqeQVOn/5y1joc7AqUMb+ULJVVbk+Pp4hCQn0jIjAcrguc5IkSRzfNmoZbJQkSZKkfwEhxDHXYlqyBHr0AEICXDFnJ3P0LIQh+PtAhDDQ2myjldFGK6OdZNV01tR40oTgPsceMnU/zzdowFMNGtT2lCRJkk6bRX9pnJuxDKL93GdLoK+l6tpnxqRwvvkgjCbnr2Rn765oIoBZtfDV5TsAmP1JKB+9EUFa5wJenu45qblk7DQyblQ0e3cduOETQz4T6r/C4NwpbHzgSXZdf2vwifL16LcfhfHJWxE06rmeHRe0xqiYeLrbp7SJ61ExhuL3kzT/Z1K/+JCY1SsAcCXWYfXYCeR36XnY+fzfVyFMfzmS8EiNqT/kEBJ2+DWwEILH/xzIlqKV9E8dxvDWzx739Td5fxItJo8DQDea2DPw+jMi6Ajg0DWW+J387Cthl3Zg+7hNVekdGclNCQlcExeHWQYeJUk6iAw2ViKDjZIkSZJ0qDvvhOnTwWIBb6QHw9A9GC/OwUvVTqKRioH2RjuXWCJparTWzmSP0XxfKRNdOUQbjezu2pUwo6wWI0nSf4fXC/bb0tFH7CReNzE1KgVDpZtFo4fHsmGlhXueLiKl9yLeWTeGYm8e710UDNrt2W7ggWsTweCh+8SbGd7x8eqz+o5i9VIL40ZF43GpxMRrXHd7KSv/tPL3n1Z0XeGxh7bS4zoDuiX4nZL8f9+RNuV1Zrsv4euCfng6foax6SwuS7qWrqGdSb/yhoqxew4dSMyavwHQjUbSr7iODSOfIhB25HVewA8jB8Wzd5eJq291cNP9R1wjsyb3T55ZegMm1cK0CxYRY0s67vchZuUymr3zBnErFpfP10T6gOvYetu9uOvUO+7xapoQgi2ah199pazyl1FUqaFcHbOZe5OTebBuXazl9S8lSZJksLESGWyUJEmSpEMVFUFaGuTkBP/+5ZdwxdUaKxwO/iguDtaVLC3Fox8IPjYxWBhijaWtqfot2rUpIAT3OvaQrft5JTWVx+rXr+0pSZIknXbtuwf457FlEBHgIXsivczBerwBPwzulYTPozLpmxzqpR5ak7HM5+DWS6LwFSbA4Euxt1jEgMZ3YDeG4tHctIs7lyZR7Y54/r27jDxyUxzuMpVWnbyMGldIZHTwe+SHT0P4YHwkcYkBpnyfE2xiIwS9b7iYyC0bDjvmDyt2IcpLYrQb+zAJi+ax++ob2XP1EDzxicf83qxYYOWlkTGYzIIps3OIS9JwlymsWmJh2TwbW9eZueGuUs67zI0QgtGLr2FjwXIuaXALd7R98ZjPc7CDg46emDjm/t+Kims6EwghSNd9LPM7+dlbUhF4vDg6mtmtWsnt1ZIkATLYWIUMNkqSJElS9b7/HgYNgjFjYPToQ5/36jrLSkv5MCuLmbm5+ITAjMIbYfVJNpgPfUEt+sVbwlR3LnEmEzu7dCFUZjVKkvQfdNddMM25G4btpr5q5s2w+qiKwvYNJkYNiSc0XOeT+VkcLnY07cUIfp4VSnjn2ZReemWV5x49Zzrd61wGgNvvZI9jC82jO1Y8X+ZQeOSmODL3mGjR3suz0/OpHE/zeuCuKw6tnWgsc7Jo9M/UW7CF7uZfMEankxjdHCwh+MMjWPXiWwRCQoPHOkoJ2EPgBLLthIAxt8ey/m8LSfUC6AJy9xkQ4kD2Z92GfiZ/mwvAuvwljFl8HUbFxKTz55EU2vC4z1lZ9OoVNHvnTQo6dmXr8PurTuwMKlfiF4KFPgfvuHPxIrgyNpYvW7So0mxOkqT/puMJNspPDEmSJEn6jxowANzu6gONAJby+k0fpaWR0a0b50dG4kMw2ZWDfgbdrNwZ8PK+Ow+AJ+rXl4FGSZL+szp1Ar6ri9FjIF338Y23CIDNa4M3iJq29h020AjQ69JgAxffuisY3nQ8XRL70TP5Ci6ofz2pEa2AYBbc1LWP8+Siq5i1dTK60NF1eGN0NJl7TMQmBnj09UIOTtyzWOGa4Q4Avn4vDI87+D3is4Xy1sYh3MMUel11Cb98/j2LP/uZxR98w4o3P6gINALB7dInuK1XUWDogyUAZGUYydlrRAiFpHoBBtzkwGgU7N1lImNn8DukdWx32sadC8Cu0sNnXh6rwvadWTr1c7bedm/FY7HLF9Hz1iux5mSe9Pg1xaQo9LWE82RIHUwofJefzy2bN6OdQd/7kiSd+eRv45IkSZL0H3asyRTxZjMfNG9Oq7/+YpPm4SdfCf0tkad2csegVNd4xZWJD8HF0dHcX7dubU9JkiSp1nTqBJQZMcxoSGDEdj7zFACQviYKgOZtfUd8fVo7H0n1AmRlGLFvu5Unrhh0yDGaCKCgoguNTze9wl/Zc2m6axp//5mM2SJ4fPyBrdOVOf0lhHb5P6wxAynKj+W1qWsY81A7Nv1jxpUXg9HqZfI9I4kItZ38G3EYjVv4eebtfHIzDSQ3CJDcIEBkjI6iQMYOE6uWWFk230q9VCcA97efQJ57H82jO1U7nhCweomF+o39xCYces3V2h/t1TTavvwkoXt2ct4Nl7D6mdfJ6XXBGZPl2NZk57GQJF4uy2Rmbi6tQ0J4IiWltqclSdJZQmY2SpIkSZJ0TFKsVl5NTQVghjufHM1fq/PRhGC8K4tcPUAjq5XP09KqNEOQJEn6r2nRAqxW8H5elwfCGgDwmaeAlanZgKB5W+8RX68ocP4Vwe3Nv/9QfX1eo2piZIeJ3NduPBaDjS1Fq5jzVfC5Xjf9Q6O0qgHNYm8+H294keG/dGbCPyPw9HgMgFUzL2T2J6HMKz9P736BUxpo3K99dy/9rnHRqpOPqFi9IrbXtW8wq3PZ7wfmEGNLqhJo9OtVr+2fZRaeuzeW+69JYMWC42yiZjCw9O1PKW7WEktRAV1H3kqPYdcQ/c9fJ3Zhp0AnUwh32eIBGLNrF8tKSmp5RpIknS1ksFGSJEmSpGN2R5069I6IwItgoiu71rZVOXWNF8syWRNwE6KqzG7ViqgzqNi+JElSbTCZoH374D933tKAlxoG6wy6rkuHxzeT0vLIwUaA8/q7URTBhpUWsvdWv2VZURT6pgxi6gWL6GUeA5nngOrjt6gLmZf+VcVx7617mtt/7cp326fi0cqoE5LKxQOhafddiICZj96I4PfvQ8rP6zrJqz85nXt7UBTBjk1m8rIOve7dpZu4b14fvt46if19D5bPCwYYXU6Vl0bG8NnbYWjaIS89LFdyfRZ9OJttt9yJZrEQu3o55956JR0fuxtLfm6NXNfJ6msO51xTKBoweNMmSgKHNheSJEk6mAw2SpIkSZJ0zFRF4f3mzQk1GNioefjKU3ja57Bb8/KwM4NVARc2VWVmixa0Cg09+gslSZL+AzqVJ+L99Rc8kZLCUGdj0IB+OTyrZ5ClHXkrdVyiRtuuwaDk/DnVZzfuF21NIHLjIwAkdlhLTIypookMQJEnD5/moUlkW0Z3+Yi3+y7gzvbPMW6ymXvGFGG16eXnDNCyw5HndapFxuiktQvOYdn8Q7MUl2b+j+yyPXy2aRxv//MIfs3P34uCx7U+J/h+ff1eOHM+O77vI81mY+PIp/jth0XsvmowQlWpO/cHwrduPMkrqhmKonCnPZ541cguj4fhW7bgOp6IqiRJ/0ky2ChJkiRJ0nFpZLMxvWlTAL7yFrLOf3qyUXQh+MlbzGOODHJ0Pw2sVpa0b8/lsbGn5fySJElng/3Bxr//Dv4ZNa8uPNIWq9fETs3LXY493F26m4ll2cz2FLHY52B7wFMlU73vFcHP9Xlz7OhHKEUY8MOCn4IByduGNGT6hUuxmQ4E2wY0vp1Xzp3Nq71+5JzEC1DK9ywrClx4lYs3vsjl0kFOHni+6IiNa06Xiq3U8w7dzn1D81Hc3voFVFR+S/+C4Z8OJT/biGry0m3UFK4bEWzMumGl+YTO7YlPYs2YV1nw6f/YfOdD5HU/74Svo6aFKAYesieiArPy8mi0fDlT9u3Dd6T/OCRJ+k9TxL+8q5SiKOFASUlJCeHh4bU9HUmSJEn61xi2eTMfZGcTpRgYH1afaPXU9Z3L1f1McuWwLhBcCF4UFcXnLVoQI7dOS5IkVbFpU7B2o90Ov/0GgwfD7t3wxucevk/bzB/FxdW+LtVg4QF7AikGCz4v3HphEmUOlcR6ATr3dtPrYjeNW1at1bviDysvPRhDZIzG+z9nYzjL24/mZBq447IkYV5oAAAgAElEQVREVFXwwa/Z1Ta6+Sv7N8b/fQ+eBXfDb69Ck//R/ZFp9PV+yPP3xdKgiZ83v6q5LdDW3Gw6jL6PdY+/iKNR0xob90Qs8zn5wJNHrh7cSm0A6lutNLRaiTWZCDMYCDcaiTeZSDSbSbFaOTciAuOZEEmWJOmklZaWEhERARAhhCg90rEy2ChJkiRJ0gkp0zQ6r1zJRpeLEEXlOks0l1oiMdVwk5aFPgfTXLm40LGpKq+mpnJ3cjKqbAYjSZJ0CE2DyEhwOg88FhMDGzZAQgIU+f0sKy1laWkp291u0j0e1paV4dA0jCjcYI1moCWKed+FMP2VSAL+A5+1l13v5Ob7S7HYgmvIlx+KZvl8GwNvdjD0wSOuO88aDw2OY+cmM9eNKGXw3Y5qj3H6inlqRDy718bR6bbZXHxdKQll/bjv6gTsoRqTf11DtDWhRubT6dE7Sf71RwL2EFY9O4GsCy47+otOIb8Q/Oor4WtPIUXi6Nup61os3FWnDiOSkogzn1jWpyRJZwYZbKxEBhslSZIk6dTZ6nJx3YYNrCkLdi9NVE0MtcbSxRRSsV3uRLmFzrvuXOb5gou9buHhfNy8OU3sR64hJkmS9F93/vkwf35wu/Itt8Czz0L9+oc/Psvr5fatW/mxoAAINgW51xaPx6WyeqmFxb/aWDw3+Nlbt6GfvgNc5Ow18OvsELSAwluzcqjf6N/ROOTX7+y8/VwUAMMeKebywWWHHON0KNzcJwldU5j+YzYJyRoet8L13esA0GzcBbx04QcYlOob7BwPc2E+nR6/m7i/lgCwbejdbLz3MTCc/NgnQxeCIqGRo/vJ1f04hY5b6JQJnRI9QLHQ2KF5KS0PSNpVlQmNG3N7UtJJ/34gSVLtkMHGSmSwUZIkSZJOLU0IPs7OZvSuXWT7gsX1Wxps3GqLpbHx0CL7R7NX8/Gbr4T5PgclQkMFnkpJYUxKityKJUmSdAzWroWZM+HGG6FVq2N7jRCC97OyuGPrVnTgems011tjKp5ftdjCpLFRFOVXDXI1b+vllY/ya3D2te/zKWF89W5w7Xj7E8Vcel3VgOPiX6289mgMdRv6mfztgS3TQ/rE4yw2wZ1tGdr3CgY2vrNG5qMEAqRNepkmn0wHIK9zD1Y9/yae+KQaGf9U8QmdxX4nc7zF7NSCTXQui47mvWbNSLRYanl2kiQdLxlsrEQGGyVJkiTp9HAEAoxLT2f83r14yovGNzZYOM8cTk9TKJFHqOmYo/lZ6ney2O9gW/mCBKC+xcInaWn0jow85fOXJEmSYHpmJndu3QrAfbZ4+loiKp4rLVb56p0wCvMMJDfwU6d+gI49vYRH/bsahQgBM94K59uPwgBo28XDVUOdtOniRVFg4tORzJ8TwoCbHNz60IH19qgb49i+0QzXD8DY4mde6/UjDSNa1Ni86sydQ/uxD2N0u/CFR7B0yucUt2xbY+OfKroQ/OgtZoanAD+CeJOJH1u35hy5Ppeks4oMNlYig42SJEmSdHqlezw8uXMnX+blEaj0e0Zd1USa0UaoYsAlNJxCJ1f3k1W+/Wo/A3BpTAzDk5K4NDpaZjNKkiSdZk/u3MnL6emowGMhSXSp1GH6VCnWAyz0OehpDjulDceOlRDBDMdvPgxD14LbfuOSAkTHaezZbsLjUnlueh5tOvsqXjNuVDRLf7dR79q3yWh5L3G2ZF7tNYcoa3yNzSt09w46PHU/BrebBZ/9D916aOfsM9UezcuEsmz26D7sqsrXLVtyaUzM0V8oSdIZQQYbK5HBRkmSJEmqHXk+HzNzc5mRk8PfjuqL7O+nAr0jI7k2Lo6r4uJIkEXkJUmSao0Qgls2b2ZGTg5G4NGQJDqfwoBjnu5njHMf2bqfuqqJV0LrEarWbk3C/XIzDfzwaShzv7Pj8xy4+RUWofPBr1mYTAeO/XBCON/PCOOSwfmsad+FzLKdNIlsxws9v8ZiqLmgoOL3YynIoyyuDooCxoCXZtMmsGPICHzRsTV2nlPBLXTGlWXxT8CFAXivWTOGJp3Z28ElSQqSwcZKZLBRkiRJkmpfod/P4pISFpeU4BOCCKORCIOBFKuVJjYbqTYb9loudi9JkiQdENB1hmzaxJd5eRgJZjiecwoCjlmaj6ed+8gTBxrMtDPaGRNSB8MZ1EjEWaqwZ7sJR7FKabFK01Y+GjSt2hTnx5khvPdqJF3Pd3Pzs3/z2MIrcPiLuaLRCG5r9UyNzEPXYe0KC799Z2fZfBsdenh4t9OrtHl9LN7IaP55+jWy+/SrkXOdKgEheNuVw3y/AxX4uU0bLoyOru1pSZJ0FDLYWIkMNkqSJEmSJEmSJB2/gK4zeNMmvs7Lw4jC4yFJdDKFnPB4Qgh2aF5WBsrI0vzlHYs9OIROU5uN8Y0aMWjjRly6ziXmCIbb4s6ogOPRrPjDyksPxtAozcf4z/PYkL+Mr7a+xcOd3ibcHHVSYwsBS3+38unkcDL3mKo89/6on7j6+1FEbNsEwJ6B17PukWfR7Cf+7+pUE0IwyZ3DPJ+DKKOR5R060MRur+1pSZJ0BDLYWIkMNkqSJEmSJEmSJJ0Yf3nAcVZ5wPHJkCQ6HGfAMVvz85OvmMU+JwUicMjzLe12fmvblkSLhe/y8rhqwwYAzCg0MFhobrRyoTmCeoYzu8TG7q1GRg5KICxSY8b8bCAYVFNOImDq98E/y6zMej+ULWuDHZztoTq9L3XhLFX582c7zVr7ePXdvaRNfY3Gn0xHEYLS1Kb8Nf5dnA0a1ci1nQp+ofOUcx9bNA9pdjtLO3Qgwlj79TolSaqeDDZWIoONkiRJkiRJkiRJJ86v61y/cSPf5udjKg84tj+GgOPmgJtvPUX8FShj/6ozRFW5ODqazuHhJJjNJJnN9IqIwFqplMbb+/bx+M6dODWtynjtjHautETR1nRmZsCVORRu7FUHgC+WZGK1VV1r/7xrBnXDGtMqtlu1r9+52cRHb4RjtkBYpIbXrbJ6qQV3WbBWpMWqM/BmJwNvdmILERTlq9zRPwGfV6Xjg69zxcV1OT/dSKcn7sWan4M/JJS/x00lt0efU3vhJ6FIDzDKkUGBCHBtXBxftWxZ21OSJOkwZLCxEhlslCRJkiRJkiRJOjk+XWfQxo3Mzs9HBYZYYxhoiUKtJmtvS8DNTE8h/wRcFY9dEh3N3XXqcEFUVJXA4uFoQrDd7Walw8FXubn8UFBQEbDsaw5nmC0Wu1LztX51IfAjMKOcUEbijb2SKHOoTJqVQ71GB7I4/8j4hjdXPYDdGMbd7cbRM/mKKq8L+OGhG+JJ32E6eEii4zS6X+jmqqEOouN0ADwBFx9teIHf3mtPYNFISPqbeg8P4c3z52IvKKDTY3cRuXEtCz/9EUejZsd9HafTtoCHx5wZ6MB3LVsyMC6utqckSVI1ZLCxEhlslCRJkiRJkiRJOnk+XWfYli18mpMDQAejnX6WCNxCxyE0tge8bNY85Oh+AIyKwtDERB6uW5fmISdXP3Cn282EjAymZGYigDjFyPXWGFoZbcSrxhPeqlyoB/jdV8pSv5MCPYBDaOgEt3BHqUbqqCb6mSPobAqpNrB6sJGD4ti91cxTb+XT6VxvxeNezc1zS29iQ8EyAM6vdx0jWj+HrbzpzuxPQvnojQjCIzWG3FeKs0RF06BtVy+NW/hRDzTCxhtw88LyW1iXvwTKYmDibvCFMuLFdVx2abDRiuL3E759MyVprStep/j9CNOhwcwzwQx3Pt94i6hjNrOxc2e5nVqSzkAy2FiJDDZKkiRJkiRJkiTVDCEE72dlcd/27Xh0vdpjDMDNiYk8lZJCqs1Wo+dfWFzM0M2b2eXxVDwWpRiIVo1YUTEpCmVCo1ToeISOVVGwohKpGmlssNDIEKx7uEvzsV3zsCbgovqrqCpZNXGVJZo+5rAjBh1fejCaFX/YuOOJYi65rqzKcwHdz5db3mTW1rcQCKIsCQxsfAedbEN5+NoUPG6V+8YW0XeA6zCjB4OWLy67lbX5i7AaQhh1zhQ2fjmQbz8M55xebkZPLAQgq2w3ifaUiiBs9OoVdBgzkpUvTaKoTcdjuOLTyyt0HnSkk6n7ubNOHaY2bVrbU5Ik6SAy2FiJDDZKkiRJkiRJkiTVrHVOJ4/u3Emh30+40UiEwUDr0FC6hYfTOSyMyFOYQecMBHg1I4O5hYWscjrxn+SatmdEBMMSE2kfFkacyUSowUCe30+m18vPhYVMycykOBDcEt3cYOVuezz1y4OWB3vv1Qh+nBnKlUMd3PJA9WvxDfnLmLj6QXJdGQBEfD+fktXn0bytl5c+yK+SxXiwzYV/M2bxIAyKkWe6fUpazDms/9vMUyPiSKgbYPqcHGZtnczMza9zT7vXOL/+tQB0v2MQcSsWoxtNrHtkLLuvvRnOsE7f6wMunnLuA+DPdu3oGRlZyzOSJKkyGWysRAYbJUmSJEmSJEmS/p3cmsYap5PCQACnpuHWdaKMRmLLg4ZlmoZT09jl8bDS4WClw4GiKLQNCaFtaCgXRkUddYu3IxBgWmYmz+3Zg1PTMADnmsJoaLBQz2CmqcFKqBqsH/n9jFA+nBBBz4tcjBpXdNgx/bqPPzJm8fmc9RS9/zGqQTDh81waND20W/fBVuXMx2oMoUVMZwBKClVu6ZuEogi+WJzFjxmTmLHpFUJMEUzq8zvRtkSMZU7ajX2Y5N/+B8C+C/uz8YEncSXXP8Z3+vSY7MrhN18p50dG8nu7drU9HUmSKpHBxkpksFGSJEmSJEmSJEk6WRkeD/du28YPBQVVHleBZgYrHUwhxC9N4I2H4mna2sern+QdcTy3S+H+a+LJyzJyxY1ObhtVwpLM/xFhiaVlTJeK41bn/kGYKYrGUW0PO9bNfRIpLTYwYWYuKU3dPPbnALYXr6Fz4kU80fn94HZqIWg04x1avPUSqqahG03svmYIW0Y8gC869qTem5qSp/u5o3Q3OrCyY0c6hIXV9pQkSSp3PMHGIyRoS5IkSZIkSZIkSZIEUM9qZXarVvzWti3PpKRwTVwcTWw2dGCT5uEzTwE/p6UDkJd19E7ZM6eEk5dlJC4pwA13l7LPsYOJq0YyetHVTPnnMXYUr+Pl5cN4dukQXlpxG4WenMPPLTWYEZmx04hBNXJf+/EYFRMrsueycN/s4EGKwo6b72DhJ3PI7doLNeAn9YsPiVq3+qTfm5oSp5roaQoGGMdnZNTybCRJOlEy2ChJkiRJkiRJkiRJx0BRFPpGRTG2YUO+btmSrV26sLtrV6Y0aYJRUdhkdUKnQoryDfi8hx9n2wYTP84Mbt++a3QxNrsg0hpHr7pXAjB3z2c8vOASlmf/gqoY6JZ0KaGmiMOOVy812AE8Y2ewVmZKeHOubfYAAO+tHUORJ7fi2JIWbVg69XMWT/uC7TeOIKfXBRXPhezZCbW8+3GAJVir8cvcXDIqNQKSJOnsUavBRkVRnlAU5S9FURyKouQqijJbUZRm1RzXTVGUeYqilCmKUqooykJFUWq2rZkkSZIkSZIkSZIkHacUq5W7kpO5NzkZAOWe7aDq5GUbqz1eC8Dbz0Wi6wq9LnHRoUcwKhliCueedq/yQo+vqRPSEID28b2ZeN6vjGjzPGaD9bBzqNvwQGbjflc3uYeGES1x+IuZvnY0B5dQy+/Skw2jnqloFGMqLqL3kMs495YriF2x+ATfjZPXyGiltdGGBkzcu7fW5iFJ0omr7czG3sDbQFfgQsAEzFUUpaJCr6Io3YCfgblAZ+AcYDKgn/bZSpIkSZIkSZIkSVI1nk5JIdpoRDRwQf+sw26lXrnIyu6tZkLDdW4bVXLI861iuzHx/N95u+9Cnu76KfXCmx713Pu3Ue/ddSDYaFRN3N/+DezGsIpmMkcSteEflECA6HWr6XHHIDo/cCsh6buO+rpTYYAlCoB3srIoCRy9aY4kSWeWWg02CiEuFkJ8JITYIIRYAwwF6gMdKx32BvCWEOKV8uO2CCG+EkIcISldkiRJkiRJkiRJkk6fKJOJ5xoGMxK5bRfrNlW/3J43xw5A3wFlREZXn0NjUs0kh6YGG7scg/3bqLMyjPh9Bx5vGNGC9y5awRWNRhx1rNweffjtxyXsvP5WdKORpIW/0ueavqRNegXVe3q3M3cw2qmrmnFoGm/K7EZJOuucULBRUZTzFUWZrCjKj4qizFEU5S1FUXrVwHz2F6EoLD9PPNAFyFUUZYmiKDmKoixQFKXnEeZmURQlfP8PINtXSZIkSZIkSZIkSafcHUlJJHntEBHgW62Qzf+YqzxfUqjy18Lgdug+l7tq7LxRcTr2UB1dU8hMr7p92246sCR2+53o4vCbBL0xcax77Hnmf/Ubud16Y/D7aPrBZHrdfAUGt7vG5ns0qqJwvTUagNfS08n2ylwjSTqbHHewUVGUacBvwA1ADBAH3AjMVxRl0olORFEUFXgTWCyEWF/+cGr5n2OBd4GLgVXA74qiNDnMUE8AJZV+5G0QSZIkSZIkSZIk6ZQzqiofdGoMgBi4j5cmWCnMPbDs/vNnG1pAoVGajwZNam57sKIc2iTmYFsLVzHyj378sOPdo47nbNiYpW9/yorx7+KNiqGgQxc02+ltm9DDFEoTg4UyXeeZ3buPeKwQgvVOJ2/t3cvAdetIWbqUhsuW0Xz5crqsXMl927bxRU4O+2TQUpJOi+or1h6GoihXArcCt/H/7N13dFTV2sfx75k+k95DIEBCh9Cr2EERsGC7eq9dsSEolovYG1dExYpeFez96hV5uVYsWEBReu+QQHpPJtPnzH7/mBBaAgkQijyftbIgp+yzz1DW4sez9wPvqNodZmuDwmuAVzRN+04pNfsA5vIykAXsWrW442/l15RSb9X+fKmmaUNr53BvPeM8ATy7y/dRSOAohBBCCCGEEOIwGJ4Qz7CYeOZUlVN9aTZPTujIY6+WYbWruiXUh7KqcYf0zCDrV1h3axKzq63Vayhy5/D+milkJQyifVzPfQ+oaRQMGUF5j74EoqLrDkdu2YjJXUNlVu9DOf16Hq9xjT2J+2tyeb2ggPGtWtE1oq69A9XBIP8tKWFOeTlzKyspDgQaHOtPp5OX8vIA6OxwcGZcHGfGxXFqbCzRpibFIkKIRmjqn6prgWeVUm/velApFQLerO0kPRpoUtioadpLwDnAKUqpXYPBgtof1+xxy1rCezvupXYvx7r/rmjsHhdCCCGEEEIIIcSh8ELHdmQtLEc/sYz1n7t48KZELr+lmi3rLJhMilOGH/olyfV1pN7VsDaXs7T4ZxYUfM3Uxbcw9ZQvibTE7ndcX2Lyzm+Uoufke0lcvICiE0+nvEdfKrv2oLJbL/xx8YfkPXbVzWRnoDmCPwIuxm7cyHWpqWjA9xUVfFpSgju0c0m4BY2uJjs9THY6m+yY0AigKA8FWRf0sFb3kq37WOd2s87tZlpeHiZNY2BUFEPj4jgtNpZB0dHYjfU39hFCNF5Tw8Y+wL/2cX4m8FljB9PCSeA04ALgNKXUnq2usoF8oNMexzsCXzf2OUIIIYQQQgghxOHSOSKCsS1b8mJeHoZbN7Hhun48OjYBgH6neImOa3jfxAO1Yxl1bgPLqDVNY2yvp9hcuZJCVw5TF43lwRPexag1Plwz+Lx4UlsCkDJ/Linz59adc6WlU3TyUFbes6/IoOmusiWyMODip8pKfqqs3O1cK4OZE81R9DA76Gi0Ytbq3ynuZEt438qakM6KoJsVQQ/Lgm4KQwHmV1czv7qax3JysGoaE1u35qG2bTFK4ZIQB0yrXQnduIs1zQtkKqXyGzjfEtiklGrUZg6apv0buAwYBazf5VSVUspTe83twKOEKyaXAVcD/wSylFKbG/GMaKCqqqqK6Ojo/V0uhBBCCCGEEEIctPJAgPZ//EFFMEj0W+2ofjcdgPueL2PAqQfe3dmjQiwPuFkSdFGtdEIKjJrGYGccz4xoh8mk+M/v+RgbKC3aUrWae34dhV/3cn77m7mm2wNNnkP0hjUkLvqN2NXLiVu9nMicLQDkDxnBwmdq94RUipOvHoWrdVvKeg0g9+wL0e2OA3rn731V/BaoIQToKFINZoZaoulktB3UasYiPcDyoJtVQQ+rgm7KlQ7AsLg4PujShUSLZT8jCHH8qK6uJiYmBiBGKVW9r2ubGjaGgBSlVEkD51OAfKVUo/5rRNO0hh5+7a5LtTVNuwcYC8QDy4G7lVLzGvkMCRuFEEIIIYQQQhx203JzuW3TJqKUkczJvTG4Tdz/fBmm+osP9ymgFK94ivjVX0OAvf8pbUGDCT3wL4rj5c+LaNm24QY08/JmM3XRLQDc1fdlTm41qukT2oXJWU3s2pXoNhsVPfoC4MjN4cxzT6y7xhcbx5Z/jGbr368hEL3/5duHm1KKXwJO/u0uxoeitdXK51lZ9ImK2v/NQhwHmjtsnA40tJutA7ihsWHj4SBhoxBCCCGEEEKIIyEQCtFz0SLWut2MssZyrT3pgMZRSvGiu4i5AScAmTYb5yYk0MnhwKRpzCwt5ZvycgxuI6Fbe3PPWB+Dhuy7evK9NVMocG3l+qxHibenHtC89sXo8ZCw+HfiVi+j1ZefEbk9BwB/VAzrxk5g68VXwlG4P2K27uNJVwEFoQAOg4H3unThwqQD+3UT4q+kOcPGn6Ce/0LZg1Lq9EYP2swkbBRCCCGEEEIIcaR8U1bGiJUrMQEvRrUhzdj0pbn/8ZbxkbccIzAzK4tzExJ2Wz7s0XWGrVjBvKoqKLNw7m8dGH2lf59jKqUOW0NVLRgk7bsv6PjGNKI3h3dQW/DC2xSdcsZheX5T1YR0proLWRYM11lNzsjgntatpQGtOK41W9h4LJKwUQghhBBCCCHEkTRyxQq+Li+nj8nBxIgWWBtoZFKfuf5qXnAXAfBax47cmJZW73WVgQDdflhGvs1F5LpY3huY2KRwrNpfQbQlrtHXHxBdp+1n75P053wWPv0a1M7PXF151C2t1pXiDU8JX/mrALglLY0XO3SQxjHiuHXYw0ZN00yATSlVc9CDHWISNgohhBBCCCGEOJLWulx0X7gQHYjXjPzDlsAQS/R+g6ufa4PGEHB3ejpPtmu3z+u/W+tmWO5CMCsmmtI4ITKiwWsDfpj5dhQZ3cv41XwHa8r+ZNqQH3GYG7dHYY1TI3eLmaI8I936+khMObAO2+bqSs447yQKTjuL1Xc+eNSFjl/6KnndU4ICLk1K4t0uXbAYGh8Wi7CqYJDfq6rY4PGwwe2mKBCgOhjEqet1P3pDIc6Kj+fe1q3pEtHw793GKvD5+K6igjnl5Th1nXEtW3JmfPwheJvjU3Muoz4XSNijecv9wIOACfgRuFQpVXEA824WEjYKIYQQQgghhDjSZpeWMn7TJrK94b0UOxit3B+RRqyh/rbRc/3VTKsNGq9NTeX1Tp0w7CecVApi7t6M8+ztxPssvJbcGnMD97z/UjT/fSOKyBgdxz97UKyv4fT0i7mt93P7rIh012g8Pj6B1UusdceSWgR5+r0SYhOaHji2/HoW/e4bB4A3MZkV9z5OwZARTR6nOc3zO3neXUgQOCMujk+6diXOfABdfo5DwVCIV/PzeSg7m4pgw02LdqUBFyYm8mz79rS22Zr8TLeuc/umTcwoKNjr3NDYWJ5s146+0vinyZozbJwL/Fcp9XLt94OBX4GHgLXA48DXSqk7D3Duh5yEjUIIIYQQQgghjga+UIhX8vJ4LCeHimCQFIOZhyPSdtvHMagUs30VvOctQwE3tGjBqx077jdo3OGKm4J8cNYfEB/gGlsi59v2XhqdvcHEXZcnowfDYw67fgXft+pNiBDXdnuIUe1vbHD8j16J4j/Tw/+2TkjWCQagqsJIx+5+Jk0vwbpLNqQUfDI9ivUrLEx4qhx7RP35Q/ySP+j92AQic7YAkHfG2aycOAlfYnKj3vlwWBpwMcVVgA9FO5uNz7Oy6B4ZeaSndVSbX1XFTevXs9od3vsySTPRzmSlpcFCvMGEQzNgx4BdM+DQDPgI8YWvkgUBFwDJZjMzs7I4MRxwNcpql4tLV6+ue2Y7o5XeJgdepfjGX0UQhQGYnJnJhPT0Rv+5Es0bNhYDZymlltZ+/yzQVSk1vPb7kcALSqkOBzr5Q03CRiGEEEIIIYQQR5ONbjfDV6xgi9dLtGbkb7Y4WhusBFG87Slleyjc3GVMWhovdejQpEDkww/h8vcKYOJ67Bh4OboN8btUT+o63HN1EhtXW0hMDVJaaCImXuf8aVN4Z+MDGDBw/6C36ZsyZK+xK8sM3HxuCl6PgQlPlTH4DA/rNzqZdENHXNVGThrm5s4nKtixyvh/H0bwxtPhZdHjHq7gjPPdDc7b4PPSafrztH/nFQy6jj86hlV3PcL2cy+u29vxSNsS9PKEq4ASFcRhMPBO585cnHz0BKJHi5BSTNm2jYe2bkUHojQDl9sSONMS06g9L3N0H8+5CskO+TFrGq907Mh1qan7rLgt8vt5bvt2XszLwxMKEacZucORSg+zY+c1eoB3vaXMD4R3ADwvIYG3O3eWKtVGas6w0QN0Ukptq/3+T+BTpdTTtd+3AdYopQ5+cf0hImGjEEIIIYQQQoijTZHfz9krVrC4Zu/WB4lmM09mZnLtfgKWesctgtQWCv69BDo76WK08Vhkq7rl1DsCQEdkiBc+KeaBGxIpyjNx3V2VbOs2hu9/LsC0+XxuGZPG6V0G7/b8GU/G8OXHkSS0yyXzn6PZVLmMCl8xV9i/5uP7zyIY1Mjol41j5CScRTFsm/40KCMA1q7f0/3WJ7mg/c10SxzU4Pyj16+m9yN3EbtuFXlnnM2ip149asJGgOqQzjPuApYHPWjAjE6dGN2ixZGe1lGj1O/n8rVrmVMR3l3vNHMU19uTiDQYmzSOV4V4wV3E77XB4AnR0Tzcti3D4uJ2+z251ePh6e3bebOgAJDtn2kAACAASURBVF9tvtXL5OB2R0q9WxQopZjjr2aGp4Qgim4OB7/36UOUqf7tDMROzRk2bgLGKqW+1TQtEigDhiil5tee7wN8q5RKOuDZH2ISNgohhBBCCCGEOBrVBIM8n5vLIqeTtW43RX4/l6Wk8K+MDOIPotqqRw9YWeHG/s5iPAad4ZYYbnYkk73BxD3XJOH1GBhzfwVnXexmzkwH/54UR1yiTq/BbubODu9lZ269hPc+icdmNVPgyuabpfOYffudKN0MVw2FzB/rnjfjzD9Y9UN7pj0aR0jXQNPB6IegHTLnwJZhYPLA3Ym8POIbWkZmAlDhLcZhjsJqtO82fy0YpM3MD9l+zkXojqOmlqmOrhQzPCV8U9up+qUOHRjbsuURntWRl+P1Mmz5cjZ4PFjQuMmezFDrgecwIaX4zFfBp95y/ISzq+4REZwcE0OfqCh+qqzko6Ii9NrrOxltXGSLo78pYr8h/eagl3+58qlQOhclJvJpt25NDvaPN80ZNj4BnA9MBkYCg4FMpZRee/5G4Cql1EkHOPdDTsJGIYQQQgghhBDHkzvvhOeeg+GPlPHtqStRwLV6Cv+7ogOlhSZ6DPDyyCtlGAwQCMCY81IoLdxZ2WW0+NH9Fs6/2sk1t1ezOP83Jv3TAGsvgsw5dLvjYQakDqNTfB8yYrphMdjQNI3crSZefRZWzUsBILN3MXc9t5WHL+tFab6Vc+79gusv6V33nKcXjmFl6XxGZFzFOZmjibLsvb8kAErR/ckHyRs+ivJe/Zvzo2s0pRRveUuZ7asE4OqUFK5OTeWU2NhGLRVuTiGlWOd2Ux4IUK3r+EIh7AYDDqORkFJUBINUBoNEGY10djhob7dTHgyyzu0mx+sl3mwm3Wqljc1GQiND71U1NZy1YgX5fj9JmokHItNoY7Tu/8ZGKA8FmeWr4BtfVV3ouKteJgcXWePIMtmbFBiuD3q4vyaXIPBkZiZ3t259SOb7V9WcYaMdeA04FygEblRK/brL+bnAN0qpJw9k4s1BwkYhhBBCCCGEEMeTr76Cs8+GzEy49odsHszORgtoqH/2JK0qgqfeLSEyemcW8MNsB9MejiM9M8AtD1ZSVW5gyl0JAFw1voof/mcmb0t477v7Xl/FgL4NhIK11iy1sHapheF/cxERpXhzagyzP4jk9HPcjJ8UXl7r173cNncoha4cAOJtKYzv8wI9k/auXWoz8wN6TZpIyGRmxT2TyLnoikPyOR0spRQfesv51Fded6yFxcIJ0dF0j4igf3Q0I+LjD2sTknUuF6PXr+e36n1mQY3W3m7n5JgYTouNZUR8PEkWy27nS/1+phcU8PT27VQGg7Q2WHg4siUJDXRZPxhVoSArgx426l42BX3EG4yMssbR3tT0jtU7fO2r5DVPCQZgTs+eDI3b9+/t41mzhY3HIgkbhRBCCCGEEEIcT2pqIC4OgkE49TTFwpFrcPcvAaeJh7V0erfaOwgqyjeSkKRjqi1k27E/4w7RsTo33VfJiWd6mzyfVYssPHBDElExId7+vgBj7eP1UJDfC77mo3VTyavZjIbG+e1v5rLO/8S8S1Wc0eOm98N30vK7LwDIGXUpa8dNPGq6Va8OevjJX81vgRpcKrTbuXMSEnivc2dim7kJia4UT23bxqPZ2fiUwoJGosGEXTNgRsOPwl87twjNSIRmwKl08vQAbkIYgFSDmWSDGZfSKQ0FqVD6bs8wAINjYugVGYlH16kIBvmqvBxvKDxuZ6ON+yPSiGri/oxHklKKaZ4ifvQ7ybDZWDdgAJYdHY7EbpqzsrEC6qlZhSpgAzBVKfVdE+ba7CRsFEIIIYQQQghxvBk6FH7csa2iRUd7fjmqSzXJBhNPRabX2zxjVwE/3H99EhtWWhhynotr7qgmOja0z3saogfhmjNTcVYamTSjhO79/Ludr3F7eHfDo8zJeR+AtIhM7hv4Jq2i2u+8SCk6vPkyXV5+Ek0pgjY7m6+4gc2X30Ag9uioRguoEGuDXrJ1H9khH/P8NfhRdLDbmZWVRdeI5tl/UinFjRs28HpBAQB9TA7GOJJJMuw/4FRK4VShcCi5RwVmTUhnne5lTdDDsqCbLbqv3jEyjVbOs8ZykjkK0zG476FXhRhTnU2F0pnWvj3jWrU60lM6KjVn2Hh1A6digb7ApcDFSqn/NXrQZiZhoxBCCCGEEEKI4822bfDllxAdDYmJ0LKrnwvyl7LJ46G1wcLtjhQy97P8NOCHilIjyWn6Pq9rjBcfjuXH2RGcc1kN10+oqjv+5882nr47nrMucpF1xce8uuI+zAYLLw35CavJvtc4CYsX0PWFx4lfuTT8nuddwtJHnz3o+TWHTUEvT7oKKFFBIo1G3uncmQuTDn0/3ck5Ody/dSvo0GtBGx4eaW6WZicloQCLAi7KQ0EsmgErGh1MNjobbcd8c5Udy6mTzWY2DxxIpHSn3ssRW0atadqdhMPGwYds0IMkYaMQQgghhBBCCAGb3G5OXLqU4kAAA3C+NY5LbfFYteZfNrpgro0pdyaQmBrkxU+LcUQqcreamHBlEh6XAU1TPP1eCS06llHk3k5mTLe6e12BaiLMu/x7XilSf/qWTtOfZ/2Nd1B4+lkARG7ZSNdpU8i54B8UnTQEjoLlsFWhIFPdhawMegC4v3VrHs3IOGRNZD4oKuKKtWvD37zQHma14qGXSulzYv1ViKJ+QaUY58yhMBTgsbZtebBt2yM9paPOkQwbOwILlFLxh2zQgyRhoxBCCCGEEEIIEVbk93Prxo18WlICQIbRyoMRacQ3Q0OPXfk8GqOHp1JTbaBl2wDjH6vghYfiyMs2YzIrggGNzj19PPFWKbvmcF9seZOZG1/m4RM+oE10570HVoodN3R75jHavz8dAGdGBzaMHkfeWaNQR7hKTVeKd3bpXD0iPp4PunQh7iD2cVRK8Vp+Prdt2kRAKfhPK3g1vOw8LlHnhU+KiY47sGXvx6tf/U6ecRcSZTSyZeBAEvdohnO8a0rYeKhjfivg3+9VQgghhBBCCCGEOOxSLBY+6daNWVlZJJvNbNV9THRuZ7vevP+Ut9oVD71USkKyTl62mbuvSiYv20xCSpCn3ivBZg+xbrmVX77ZuXQ6oPuYk/0B5d4i7p93EXk1W/YeeJdkMueCf7DpihsJREYTtXUjfR8Yz9ALTqXNzA8w+I9cpZ9R07jOnsQdjhQsaHxdXk7/xYtZVVNzQOM5g0EuX7uWMRs3ElAKy7wkeK0dV91WRXpmgIpSIy9PiuUv3g/4kDvRHEmm0YpT1xm/aRN/9YbKzelQh42jgWWHeEwhhBBCCCGEEEIcQqMSE/m9Tx862O2UqCD31mxnccDVrM/s2D3AMx8V071/OPgzWxT3PlNOZqcAF412AvDu8zF43OEA0Wy08vhJ/6VDbC9qAlU8tfBGfLXLketTk9mB1Xc9xJyvFrBm3D34YuOJyM2h16SJnHrZSAg1vdLP74PK8kMTnZxqiWZKZCuSNBObvV4GLVnCjPx8/I2cl1KKWSUl9F60iI+KizEA/Van4X+wK0kpOudeXsMdj1dgMin+mGtnwY/73pNT7M6gaYy2J2EAPiwuZsq2bUd6SsespjaIaWjX1RigD9AROEUptfgQzO2QkGXUQgghhBBCCCFE/Ur9fs5dtYoF1eFVkYPNkYy2J5HQjMuq9SDM/cJBq4wgnXuGKyr9Phh3YQrF+SYiokL0PcnLKSPc9DvZR7m3iDt/Gk6lr4TT0y/mtt7PNaohidHjps3MD+nw9ivknH8p68beHT4RChG1ZQPO9vUsy97DUxPiWfiLjaffL6Zth+BBvfcO1SGdqe4CVtQGpy0sFsa2bEkrq5WyQIDqYBCH0Uik0YjDYEAR3lPw/aIifqkKN9dJ0EzcrKfx4oVtcVYZuPWRCoaOcgPw5jPRzH4/iqGjXNz6SOUhmfPx5BtfJa96wtsMfNatW7M09TkWNWc36rkNPRNYD7yilNra6AEPAwkbhRBCCCGEEEKIhrl1nQe2buXF3Fx0wIJGG6OFFIOZRIOJCM2IQzPQ1milWz0dog+VVYssTL0nnsoyY92xiVPLOGGol5Wlv/Hw/L8TIsSYnlM4q+0VjR7X4POi6Tq6IwKApN9+YvDYKyjrPYCtl1xN/tARKPPe+/MFA3DZyWn4fRqjrnRy7Z37zFeaRFeK//kqme2roFw1vtu3BY1R1lhOdSYy5eZkcreaaZUR4IVPijHW5sOLfrXyr9sSadk2wMufFzdpXpXlBmLiQhzjzaUP2gx3MV/6q3AYDPzSuzd9o6KO9JSOuCPWIOZoJGGjEEIIIYQQQgixf8ucTm7esIE/nM4GrznZHMkN9mSiDcYGrzkYug4bVlqY9W4kf8y10+sEL4/8uwyAmRtf5t01T2DSzLx8xi+kONIP6Bnt33mFLtOmYNDDIZ83MYWtf7uS7IuvwB+fWHfdpjVm/nl5MgCJqUFmfFV0yEO4gFLMCzj52R/+zKM0Aw7NgF8pPITwK4UGGNBIMpi4wBZHqMDGQzclUpRnIjE1yKOvltGyzc6qS2eVxpWnpQHw7twComMbt0z7u5kOXp4Ux5W3VnHRdQe2n+Rfha4U/3LlszToJtls5vc+fci0N1/QfiyQsHEXEjYKIYQQQgghhBCNE1KKVS4Xmz0etnq95Pl8VAWDlAQCfFFWRgiI0YxcYounrymCVOOBd1Tel4LtRsZcH4vWvoYLHy0kLkpjhDmal5bdRdvoLoxqf+NBjW8rLqTN5x/S9r8fYCstAkA3Wyg8bRhLH30O3W7nq/9EMH1KbN09T75TTKcegYN67sHy+2DsBSmUFJhITQ/y2KulJKftXRk57sJw1eMDL5bS7+T9N8epcWqMOS8FZ6WRmHidN74pxNQ8v7THDLfSuc+ZS3bITwe7nd969z6uO1Q3JWw8sv3fhRBCCCGEEEIIcdQwaBo9IiPpERm517lF1dVcu349q1wuZnhKmEEJKQYz/U0RnGiJpJPRhuEQlP75VIj34gvgP+tQwGcAHjCjcVvvZ3fbr7HAlU28NQVrE5d3e5NTWX/TnWy4bhxp339Juw/fIG7VMiKzN6HXVrBtWGnhct5nvaEzi0J9mT/HQace4T0Tt202ERkVIj656U1nDsbKhVZKCkzEJuhMfqOE+KT6n5/RrYbcrXGsW25tVNg4880onJXhatWqciMLf7FxwlDvIZ37scahGXkosiUTndvZ6PFwzsqV/NirFw5j81T1/pVI2CiEEEIIIYQQQoj96hcdzaK+fXkpL4//Ky3l9+pqikIBvvBX8oW/kgTNRB+zgx4mB91MdmI1Y5PDx6pQkMddBWzQvRgUhLZEEBEy4+pQybveUvqbI4jXwlGGX/fy+IJrCCmdW3s/S5eE/k1+J2W2kDfiAvJGXEDM2pWYnTsLtrYt1/mW67CEAqyhC5/+31VYrjiDeeszeOKOeFplBJn2WdP2RDxYi+eFO0wPPM3bYND48bpn+VWrAl5n1twVLOhyDT7dg1d3YzZYuLjjbYzMuBoAXekU5cP/PgyHy526+1m/0sJ3MyOO+7ARIN5g4uHIltxbs50/nE4uXbOGz7t1w2Q4NB3K/6rk0xFCCCGEEEIIIUSjWA0G7kpP55fevSk/8URmZWVxZUoK0UYjZSrId/5qnnEXcl31Vi6u2sSVVZu5w7mN190l/BmowdVAMxS30pnndzKxJpcNupc4k4nZ7XthuaU/rpt70s0YhUuFeKO2SzBAkWsbnmAN+a6t3DfvQmZteu2g3q2qS3dKB5wIhPc99OZW8w3DCVptdGUtD9fcy4gR/bn8zlN5Vt1Biy1L8LgPXycVpWDRr+Gwse/JDQeBQ1pfgiNzJQDB7b3IrdpKiScPp7+Ccm8RRm1nZd7myhWMfeBnAn4Ne7tFWC8JL09f+ruV4nyp4ANoZbRwf0QaFjS+KCvjlo0b+atvSXiwpLJRCCGEEEIIIYQQTRZlMjEqMZFRiYn4QiHmVlTwfe3XcpeLEOBUIZy6j626jy/8lRiBbiY7/c0RWDCQG/KTrftYG/Swo8VJhs3G1z160Mnh4JxzYOZMjb4/dWTdyYuZH6jh9ICLfuYI0qM78sKQH3hj5SPM3f4pb6+ehMMUybC2lx/0u21cZSGfRMa0nsn0Dzax9pYfOGHlh5zA73QNraYrq3ESReH2cWR0Cu5/wEMgd4uJ4nwTZouix4CGl0YnO1rx1uUfce2bQdzOCMakfkVGFz92YwTuoJPkXRrrLF5ViFp2HQCeIWNYoS+CjCtRW4cyZ5aVK25xU5hrpLLUSOde/mZ/x6NVZ5OdOx2pPOUuYEZBAa2sVh5q2/ZIT+uoJWGjEEIIIYQQQgghDorVYGB4QgLDExIA8IVClAcClAUCrHG7mVtZyfcVFWzyeFgRDH/tqZPdzqjERO5KTye5thHHlVfCzJnw/atRjP97Os/mbedVdzEvRrfGoRmJNMcwvs9zxNtS+GzjS7y6/F4iLbEMTjv7oN5n/crw8zt09xOMjKLy+r9z0vixxFPGedE/cJr6kSedExm73UdGpyCWinL80THQjPv5LapdQt29nw+bfffKutWlC3D6KxiUNgIAq9lK5+5BlvxmIrhtAB0Hu+odM7j0EsBAl8EFXHDBLSwu/pFv+8yArUP5/D9+8rJj+OOHCEIhjRvvrWTkJfWPczwYZInkRpXEq54SHs7OpqXVyugWLY70tI5KEjYKIYQQQgghhBDikLIaDLSwWmlhtZIVGcklyckAbHS7+V9ZGd+Wl2PQNLo4HHR2ODg1NpZODsde44wcCfHxkJ8PrX9sS2bPErZ4vbzuKeE2R2rddVd0mUi1v5zvcj7k2cW3EmWJo3vi4AOe/8basLFT93A1X69BXuKTdJxV8XR9+TTe+ugcXF85KNyuowWDDLz9WkImE0smvYAnrdUBP7ey3MAPsxwMu8hFVMzugWJDS6iL3bk8ufBGnP4KHhj0Dn1ThoTn3tPPkt9srFtu4ey/7x0SKgW//xhuhjPyXCsDWgxjQIth9Iz7gae/LkOvTuH373ZeP+PJKDZo/+HEk230Tz3jgN/xWDbcGktZKMinvgpuWr+eVIuFs2sDdrGT7NkohBBCCCGEEEKIw6KDw8Gd6el827MnX/fowbPt23NjWlq9QSOAxQIPPRT++UN3G5ma2BkN+NHvZIG/pu46TdO4uecTnNBiJMn2VqRHdTzgOSoFG1aFw8aOWeGw0WyBqR8U8/LnRbTv5sOYkA1A/jYTUZvXE71pHYlL/uD0S4fR5rP3Qa9/b8r9+fjVKN6bFsP0J2J3O15TrbF2WXhO/XYJG31BD0/8OZpqfzkZMVlkJZxQd65zj/Dc16+w1PusbZtN5OeYMZnVbmMObj2US0Z7MZpCnDzczXMfF9FvWB4qZOSnZy7l8S+m8N6aKcftvoWX2RIYYolCBy5ZvZo/q6v3e8/xRsJGIYQQQgghhBBCHLXGjYMBA6C6Gt67O5YJ6eE9B1/xFFMZCqIU5OcYIWTkzn4v8fhJ/yXWmnjAz8vfZqKm2oDZomjTMVB3PDYxyCb+j9vnnsmPNZMBWLB6E0tTQsz9+FvKu/fBXFNNr3/dw6lXnkPcskVNfvaqRVYA5n9nJy9n52LUZb/bCOka6ZkBUlqGg0ylFNOW3cXWqtXEWBK4d8DrWE32uns6ZPkxGBTF+SbKi/eOfxb8EL621wle7BG7B4f/uA4+W1jAXU9UkNEpyOj7CojpsA58sfDxLD5b9wr/Xj4RvYGGP39lmqZxiz2FPiYH7lCI81etojwQ2P+NxxEJG4UQQgghhBBCCHHUMhrh9dfBZILPP4e+KzLoHhFBldJ5uqaQZx+P4pbzU3n+gTjMBgtxtuS6e2du/DfTV9yPN+hu9PM2rDQD0K6LH7N553FdBXlr1SS2OddjScoFoKYwgbt+HsHk4uf45rW3WDnhUQKR0cSuXckp157PwFuvwuhu3D6HVeUGcreGHxgKaXz2ZmTdufqWUH+0birz8mZj1EzcPWA6SY6Wu43niFS07RQOwV55PJY987AF31uJxMnw/luwlhZjctXQkBZRKbxzTyE3m6YzsexzRi5L4bucD5m6cAwB3UfM2pX7vP+vxqRpTIhoQUuDmQK/n9s2bjzSUzqqyJ6NQgghhBBCCCGEOKp17w533w2TJ8N1Vxq4eGIXNp28hNUhD4xYD79059dvHAw5103vweFOzeXeIj5a9wyBkI+lxT8zttfTdEsYhKZp+3zWmqXh6sKOWQFWlsynS8IATAYzZoOFy7pMoNCVw2mDb2TMdMDZCvwOfsr9jPZxPYm4bDS5w0fRddoUWs/+BLOzGt1e/xLxPe1YJh0ZHaKm2sBPXzq49CYnORvNzJsTrkLsd1I4bPw2+30+2fACADf3nEy3hIEAmFw1xC/5g9g1KzA7q3luUA/+tmUsC3+x88oEC59vOwmz24nBWcO57hoMKHgGeAYKTjmTP194q24+Z53RGzQDutWKuboKi7OKUbXn5mWfypz+pfxe8BWfrGnLJ1f9G2UwUNWhC+W9+lE8+HRKBp5EyGpr1Lsfi+yagfGOVO6p2c4HxcVckJTERUlJR3paRwXtr77GXtO0aKCqqqqK6OjoIz0dIYQQQgghhBBCHACvF844A+bPrz3QsRomr4IEP+ZqM4G7etDCZ+eFT4uwhPNClhX/wotL7qT8i/Gw7SRsKXlktDPQvXsEpw9qRYs9mntUlRu48ewUfF4Dwx56m+8M1zGu11SGtrl0t+uUgitObYHLaeD2GXNZbniFcb2nYtSMtecVkduzMXrcVHfqBoC5qoIBd1xPzsWXU3DaWeiOiN3GfHNqDLM/iGT4xTUU5JpYvsBGx+5+Nq81owc1Thjq4e6ny9E0eGvVJP5v82tc2ul2rmx5I62+nkWrr2YSt2ophl32i8wddh6vj3qDx29PIBQIoddTcxYyGtFCIfLPPIdFT75SezDEqL6td7suaLOz1DqA1VVtMQ/vyeY7WvDpxhd5uOs0zrlkJLbS4t2vtzsoHnwaWy+5mtIBJ+7/F/gY9YGnlE99FSSazazu37+uk/pfTXV1NTExMQAxSql9blQpYaMQQgghhBBCCCGOCUrBV1/BlCkwbx6k9PASNW0lm0IutGoT6rbe/GOEzqU3Oevu+e5LxcsP7N0hWjOEyOwU5OLRTlr2X86q0t9Z9elIfvu4N1FttuC8ph1o8LeOt3F5l7v3un/CFUlsXG3hnmfKGDRk96Ytj/x+Oee2u44TWpxdV0nZcfrzdHllKgBBm42ik4aSP+xcik4aim6388/Lk9i0xsIdk8tJTNa5//qdVXKnnu3mtkcqMO6SFS4pmku/qAEMP6s/5pqd2Y+rVRvKeg/Al5BIVacs8oaPYuEvNqbcFc9JwZ/xGCPx26PIr4nl73frDPl7KHxjKBRes177QUfmbMHg82L0edGtNpyZHZnxXCJffBTJ+Vc7ueb2apRSde9nK8onfsUSEhf+RurPc7AXFwKw/obxrLtlAgCmGidGrwdf4s6l7se6gFJMcG4jO+Tn/MREZnbrtt/q2WNRU8LGI7qMWtO0e4ELgc6AB/gNmKiUWl/PtRrwFTAcuEApNetwzlUIIYQQQgghhBBHlqbB2WeHv9asgZYtbWgRvTlz+XL+xAlTl/PpXb044QwTrdsFqSg18O7TKQCcPqqKQORmNmzwUb6pDcGKNDavtTD1nnhOf2Ad33ufhFm3AOAcOAGDZuDarIc4J3N0vXNJTQ+ycbWFgu27Rytfbn2TteV/srb8T05pdT439ZhMhDmarZdcDUqR/uVnRG7PpuX3X9Ly+y8J2uzkDx5K9rrPAeja20+Plf9HXNp28vOttOsWpH+GH6aVEJubhzEQ4I8X36FPyumEgJKBJxG1ZSPZF15GwZDheNLS95pr/1O8TJpeygcvn8DqxVaoAU1T9D6zMPyhws6gsfaDrmnbbq9xUloFASjOM9VeFr5XDwWZ6ZpDQlYLBp45mRX3Pk7M2pW0+noWOef/ve7+tB++ovcjd1HVsSsbr7mFvGHn7v7cY5BZ0xgfkcpE53ba2+3oSmH6C4aNTXGk92w8FXgZWFg7l8nAHE3Tuiql9txB9Xbgr12GKYQQQgghhBBCiEbp2nXHz0x83aMHpy5bxipcBKes4J+39+D6a30s+tWGs8pAZmc/Y++vwWROqb1HUVJYyFvPxPDb93Z+e/5qkvukUOyNw5S0hfSBG7m821v0Sxna4PNbpIeDt/xtu0cr52SOxhN089nGl/gldxbryhdzZ99pdI7vx4ab7mDDjbcTs341Lb+dTdp3XxCRt43WP35BCI2k1CBJqTppz33FgPzZ4QFX137twl6Qh6dFuCHM0keeIRgRuTM0bOjz6u3n8ddLWbvMwjf/jSCzU4C4xFAjPumdUtLCS7QL83YPCL/Jfo8ZKx8k0Z5Gz6STsZkcVHXtQVXXHnvMOxelacRsWEO/+8bR+ZWpbL7iRnLPvjD8DseoDKOV/2vVmeHtUvZ/8XHgqFpGrWlaElAMnKqU+mWX472AL4B+QAFNqGyUZdRCCCGEEEIIIcRfX4HPx+BFS8kOeKHQCnf1hHwHJpNi6ofFtO0Q3Oser0fjnquTyN64s+30rY9UMHTU/rtXz/3CzgsPxtO9v49J00v3Or++fDHPLr6VIvc2jJqJBwa9Te/k03a/SCli1yyn+Nn5XLLkcU4d6eGOxytoPetjYtesQAvpENJZW7yAzf5sspOtnHbqY2gnnEcwMqrJn9HBytlkYvzfUoiICvHBLwV1x326h3E/nE6JJ5e/dRzP5V0mNDiGuaqCjE/eJfPD17FWVgAQdESQM+pSVt39WLO/Q3NpGWunX9v4Iz2NZtOUZdSGwzOlRoup/bF8xwFN0xzAh8BYpVThEZmVEEIIIYQQQgghjmotrFZ+7tuLDnY7pPpg2lLIqOHSm6rrTm3vvQAAIABJREFUDRoBbHbFPc+WERkdrvBLSAlyysj9B40ALdLDVX4F2+tfBtwpvi/PnfYtg1oMR1dBnlp4M1ur1gDhkHPGkzHM/jCSss69eMzwMKDRtXe4k/a28//Oivsms+S+x7nmbD8jz8xm/NkGHLfOQD/z8iMSNAKktAy/s8tpoKZ6ZyWl1WjnuqyHAJi16VUKXTkNjhGIiWPDDeP57ssFrJzwCM6M9pjcLqI3b9jtuuT5czHVOBsYRRzNjpqwUdM0A/A8MF8ptWqXU88Bvyml/q+R41g1TYve8QUcmT+BQgghhBBCCCGEOKxa22z82rs3PSIiID6AbfpSMq4s2uc9qa10Jk4tIz0zwOi7qjCb93l5nR3LqEsLTfi89V/jMEdxV79/0z1xMJHmGIyakVAInrs/ji8/juTNqbE8eEMiG1aFH9q1t7/u3oDu46mFN/Fz7kyMmonb+75I35QhjZtcM7HZFTHx4cCxKG/35eODWoygZ9LJBEI+Plj71H7H0h0RbLnsen78bC7zZnzCpqtuqjtnLSli0K1XMXxoL/pOvAVL+d6Vo+LoddSEjYT3bswC6nYO1TTtPGAI4f0aG+teoGqXr9xDOEchhBBCCCGEEEIcxVIsFn7q1YvB0dF4TTr/8uTzjqeU4D62keve38+0z4oZfGYDqWE9ouNCOCLDFZF7Bm+7MhssTOw/nSdPmU3r6E68Ny2aP+baMZkVNkeINUut+L0GomJ1WmXWNmBx5/LA/L/xR+G3mA1WJg6YwSmtzm/03JpTam11Y1Hu7hWdmqZxTbcHAZiXN5tt1Xv1/q2fplHWbzDFJ55ed8helE9N23YY/T5azZnNSdf/DVuxLHY9VhwVYaOmaS8B5wCnK6V2DQeHAO2ASk3Tgpqm7ah7/kzTtJ8aGO4Jwsuxd3zt3d9eCCGEEEIIIYQQf1lxZjM/9OzJuJbhJiqf+yq4t2Y7q4KNWyLdGJq2s7qxYNu+++9GWmKJt6Xw/SwHn78dXoDZ+sop3PvmYjp1D1cz9hroq+vxYjFYKXBl4zBF8eCgdxmQeuYhm/fB2tGRuih/73fOiOnKoBYjUCj+s/75A35GZVZvfvxsLj+/9z88KS2I2rqRE6+/CHu+1JMdC45oN2ot3CN9GnABcJpSausel0wBXt/j2ErgDuB/9Y2plPIBvl2eccjmK4QQQgghhBBCiGODzWhkWocOnB4by3Xr1rFR9/FATR49TXausCXSwWQ76Ge0SA+yea2Fgu37j1e2bzbx6uRYAEynT2ZL6/uZsmkyd055BW3zcDKzXOyIaWJtSUzsP51kRzpJjpYHPc9DKaVlbdiYW/9elX/vfCd+3cOo9jce3IM0jU1JfZl/9ZeM/+B8IrfncNLoi/jl3dn4kqTr89HsSFc2vgxcAVwGODVNS639sgMopQqVUqt2/aq9b1s9waQQQgghhBBCCCHEbi5MSmLNgAHckpaGWdNYHvRwd812XnEXURPSmzxeQIVYG/SwIeglKSNclVjYQJOYHUIheHlSLMGARt+TvDz3yIl0TRiIJ1jDEwuvZn3iv3hg8RB+z/+q7p5uiYOOuqARdjaJKWxg6Xjb6C48dML7dIzrfVDP0XV49JZE7n+qN6+N/R81rTNwFObRck69tWfiKHJEKxuBMbU//rTH8WuBtw/rTIQQQgghhBBCCPGXlGa18nLHjkxIT+eh7GzeKyriW381CwIurrEncpo5qt6VkbpSbA/5ydX95IX8rA96WR304CO8/6N26XYY5OCP71oyOkCDzWW+/W8E65ZbsTlC3HxfJUnR7Xl08Ee8uvxeftj2Hz7d8AIAH617hgEtzsKo7Tu8PJLqllHnNi5S0pV+QO8zb46d7VvCH+jGmnQWTHuXhMUL2HbBP5o8lji8jmjYqJRq8hrnA7lHCCGEEEIIIYQQoq3dzrtdunB9ixaM2bCBNW43L7iL+MFUzU32ZNKNFnSlyA35+dFfzc9+J5Vq7+rH5NpUsTgQgLZuKm7YyLNzWzNxmHWva8uKDbz7YjQAV4yrJqlFeDyzwcK4XlNJj+rA+2uepGfyyYzv88JRHTQCpKSF519SYETXwdjAdF2Baj5a9ww51et4bPDHTdrmTg/Cf16Lqvu+qtyIq3UGrtYZOy9SCmTrvKPSka5sFEIIIYQQQgghhDisTomNZWm/fjy7fTuP5eSwKuhhvDMHExp+du9aHW000i0igs4OBz0iIhgaF0dWRASaplHo83HVdzl8F5nP73238WVeS85u6ai7Vyl47YlYPC4DHbv7GXGJa7exNU3j/PY3MzLjGizGg99D8nBISNExmhTBoEZ5sbEuPN2TO+BkTs4H+HUv8/Jmc3KrUY1+xi/f2MnP2VkmWlWx+y6Alopy+jw4nk1X3kTpwJMO7EVEsznSezYKIYQQQgghhBBCHHYWg4F72rRhTf/+nJOQQAjqgkaTpnF+YiL/l5VF6Ykn8lufPrzZuTO3p6fTPTKyrkov1Wrl65EdSFuRCkZ43ZrPYv/OQPGXr+38+ZMdk0lxy4MVDVYBHitBI4QrGZNb7Ni3seEqzCRHSy7qMA6At1dPwhN0NXjtrvQgfDI9XAmanBZesr1n2Nj+nX+TMn8u/e4di60ov8nvIJqXhI1CCCGEEEIIIYQ4brW125mdlcXWgQPZMnAgJYMH4zr5ZD7PyuK8xETMhn1HJ0aDxs/ndsQ4LxFlUkyuLmCJ30V5sYEZT4a7T19yo5O2HYKH43UOi+TajtTFDTSJ2eGC9jeT4mhNmbeQzza81Kixf/nGTsF2E9GxOhdd5wSgumL3UHPdzXdR2akb1ooy+t89Bi3gP4C3EM1FwkYhhBBCCCGEEEIc1zRNo63dTobdTqLFgmU/AeOe2mcYmBrXFeYnoJsUk6oKmPy+Rk21gXZd/Fx4jbOZZn5kpO7oSJ277/0lLUYb12Y9BMCsza+RU71uv2P/+k14Gfo5l7nqnrNnZWPIZmfh1On4o2KIX7GYrGcebfI7iOYjYaMQQgghhBBCCCHEQbp9rIHpad0wLEhAmRWbrlgPLy4l7Zm1fB+qZFnARYHuJ0/382eghtneCn72V1MWOnYqHjcGvcz1V2PoXgURAYr2U9kIMDD1LPqlDCUY8vP0wjF4g+4Gr/X7YNViCwADTvMQHVcbNpbvHV+5W7VhyaTnAcj8zztkfvj6gbySaAbSIEYIIYQQQgghhBDiELjhWgPdF3VjyE9r8PQrhe5V/Ar86tn3fakGM60MZuINJuINJmwYMGkaBsCnFF4Vwq4ZyDLZyTBaMR7mLsy6UnzgLWOmryJ84NQiOHUDf26NZHkghp5mR4P3aprGuN7PcMfcs6jylZBXs5l2sd3rvXbtMit+r4G4RJ027YNUlIRDRmelgVAI9iw4LTr1TFbffj/dnn+crKmP4m7RisLThx+SdxYHTsJGIYQQQgghhBBCiENkUD8DBR268cUaF6GMGla4XKx1udjq9bLF68UAdHQ4aGezkePzscTppDAUoDAUaNT4kZqBLkY7HUw2OhitdDbZsWsHtnA1pBRbdR9RBiNJmqmu8c0OHhUiT/fzlqeU1Xo4MR0QFUW2y0dxyI83o4aHXTV09EYwPimRlkZLvc+JtSZy38A3iLMlk2hPa3A+yxZYAeh1ghdNg6i4UHieIY2aKgPRtd/vatNVN+PI3Uby7z9T07b9AX0O4tCSsFEIIYQQQgghhBDiEIqJ0bj8hEggcrfjSoW7Xe8a6lUFg/xZXU2O10uuz0eh348nFMIbChFUigijkUijkTyfj58qK6nWdRYGXSys7e5sRWOAOYJTLFF0NNqI1oy7ja+Uwo/Co0K4VAiPClGjdJYG3czz11Cmwsu44zQj7Y02AiiqlE55KEiV0uvGiTQaebNTJ/6WnAzAA8/6mLJ9G/rIfDbYXEwsCvBqaisiDfXv49ghrhe6DpNuTQDg7qdLsdp2DzeX/rYjbPQBYDZDRFQIl9NAVUX9YSOaxsqJkzA7q/HHxe/7F0YcFhI2CiGEEEIIIYQQQhwGe1YOAsSYTJwZ37iQLBgKsbimht+rqljodDK/qoocn49fAzX8GqgBwI6BBIOxLmB0qxD6PsaMNBrxhkJUKL0uwNxVgslE36goXuzQgU6Oncul/3WnlZu2d2Dc5FbMPmk5NS29THMWc090ar3vCbBmiYXF82wAjLn7D155ridWox2AilID2RvClZE9B4bDxqXFP6NFDAVnClXlBtIz638HZTLtFjRGbVyLM7MjGPfdwEY0DwkbhRBCCCGEEEIIIY4BJoOBgdHRDIyOBsJViwudTj4sKmJWaSk5Ph8eQuSG9q4A1IAoo5Fok4koo5HuERH8IzmZEQkJ6Eqx2OlkpctFpNFIstlMisVChs1GrNnc4HzS02HWv+1kjuxK9l1L+cNUwxx/NWdZY+q9fv539rqfl/96EU+8NY1Hrr8QgOV/hKsaM7v4iYnTmb35dd5a9RjK/AuQwqb8ArJI2O9n1Oa/79PjyQfZeO0trLtlwn6vF4eehI1CCCGEEEIIIYQQxyBN0xgQHc2A6Gie79ABr66T7fWS7/cTYTQSXRsuRhuNRBiNGPbRWObk2FhOjo09gDnAxFHRjJmRAWO28IanhC4mG62N1t2u03VY8GM4bGzTvYiclSkse/0qPuz6LhcPHMmy3+MA6D3IR4gQS4p+QqEwRlWgA+8vepO0/j0Z0GLYPuejOxwYggE6zXiBst4DKDnh1Ca/kzg4B7aDqBBCCCGEEEIIIYQ4qtiMRjpHRDAkLo6B0dF0iYigpdVKlMm0z6DxYF15JcR+nw5/xONHMdVViE/tXl25ZqmFyjIjEVEhnnpNJ6HjZvDF8Mm953PFlCnM/9ULhJvDGDUjE/q/wtheT3NKxxMBCDpjmPLn9Swt/nmfc8kdeSFb/3YVAH0eugNLRXkzvLHYFwkbhRBCCCGEEEIIIcQBi4iAG6/XYEpnLE4L20J+3vCU7HbNb7VLqAee7sFqV0x+zkpEUhlUp+P/7wwC1fEYLB469/SHxzRHc2abf5CYGF6Um6YNJESID9c+XddopyGr7nwQZ0YHbKXF9PzXRNjP9eLQkrBRCCGEEEIIIYQQQhyUsWPB6LTgf6QzmoI5/mp+8Tj/n707j4+qOh8//jlZCAmQsAsIQcCqiBuKCu67WGyrtS51qSi2arVWW22rdtHar/pT27rRai2K9qu11qq1WkWtota64YIb+nVB0QKCAgkkZD+/P2YSQ0hClkmGJJ/363Vfce595txnwvHOzJNz7gESU6if/Vei2Lj7gWsB2GRE4Ob7yzjuzFXk5FUCsNnExWT3WrfdguQK1KMz9+KwzU/jF1P+t8kFaGrV9M7lpUuvoyYrmxGPP0Th/Xel8qVqAyw2SpIkSZIkqV0KC+HrXwdeHki8vRCA33y+nBtvyeHlZ3rXTaHeLrnSNEBObzhyRgk3/uMzzvjZSn56Sd567eYni42rV2UzfcJP6durZfeVLNpqGxackVggZtsrfk7u4k/a+QrVUi4QI0mSJEmSpHa78kro2xfmv74Zry5YRc34Yh7aYhEPfX8HIDGFurHFrfsPrOHAr5c22mbBwESxsXjlF+PlqmM1zy5+kBF9xjK2/zZN5vPeCacy6KXn+Gzn3SgbMrQdr0ytYbFRkiRJkiRJ7TZ6NNx8M0AGC9eOZ9tnX6JkQjGc9CH8cSy7HbC21W0WDKgGoGjFF8XG/33rcu597/fsPOxALtz1lqafnJnJ89femlgyW53GadSSJEmSJElKqTG5udy67ZaJB8ct4qBLP2anPcqbf1Ij6qZRF2VQnag7ckDhMQQCLy59lI+K326+gXqFxlBZQUZF63NQ61hslCRJkiRJUsodMWQIp40YAcDzu33Ii1VrNriSdEP5/RPFxpqawJqiRBlr037jmDLiywDc8+7MFrUzaN6z7HvUgWx+y+9adX61nsVGSZIkSZIkdYjfjBvH9n36UBSrubRkCReVLObj6ooWPz8rG/rmr3/fxiO+dCYAT3/yd5aWfLTBdnI+X06/D99ni1uud7GYDmaxUZIkSZIkSR0iNzOTpydO5CeFhfQKgflVpZy7ehFvVDW+IExjCgYm79tYr9g4rv+2TBy6NzXUcN97N2ywjcUHfYXlk6aQWV7O+Jn/r/UvRC1msVGSJEmSJEkdpl9WFpeNHctbu+zCPv37U07kkjWLeb2yZQXH2vs21i82whejG/+16C5WlH3afCMh8OY5PwNg1D/vpf+b81v5KtRSFhslSZIkSZLU4cbl5vLQttsydeBAyon8qqRlBceCumJj5jr7JwyazJYDdmJswTasrli5wXaKtt6Oj6cdkXjuby+BVt4/Ui1jsVGSJEmSJEmdondmJvdOmMAhyYLjxSWLeaZidbPPqSs2rli3jBVC4GdTbuPyPe9jdP5WLTr/gjN+RHVODoNfeo5hTz7athehZllslCRJkiRJUqfpnZnJPRMmcPjgwVQRuap0KfeXrT8ysTzWUBKryR+QuGdj8cr1y1h9swsIIbT43GuHb8r7x30bgE3+/a82vgI1JyvdCUiSJEmSJKln6Z2ZyV8nTODs997j+v/+l5vLPuNv5SvpFzLICRl8XlPFqlhNFnDgl8YB+evds7G+1RUrmfPh7Rw69mR6Z+U1e+53TzqDVVtvx5L9DkntixJgsVGSJEmSJElpkBkC126+OYU5OZz/wQcUxWqKYvU6MVXA0zt8BP2GUbQis9F2Yoz8/D/HsLDoTXIye/OVcac0e96qvv1Ysv+XU/Uy1IDTqCVJkiRJkpQWIQTOKyxk2e67M3/SJB7ffnv+vs02zNtpJz6ZMoUtc3NZ06sKfvB/FK1sfLp0CIGDRh8HwJwPbye2YuGX7KKVjLr/rpS8FiU4slGSJEmSJElpNTA7m4HZ2evt/9/x45ny8itU7bOcz+YPaPL5e488nFve/CWfrHmXd1e+whYDd9zgObNWF7P/4fuQs/JzSjct5POdJrfrNSjBkY2SJEmSJEnaKE3Kz+eHgzcDoOyU91lRWdVoXF52P6YMT0yN/tfHLRupWNUvnyX7TQVg2//3M0JV422rdSw2SpIkSZIkaaN18ZaF8H99oU81968ubjJu/8KjAXj6k/spr17borYXnPFjKvILKHh3AZvd/aeU5NvTWWyUJEmSJEnSRisnO1Dwz0IAHomrKI81jcZtM3gKQ/NGUVpVzHNLHm5R2xUDBrLgjB8DsNXvrqLXis9Tk3QPZrFRkiRJkiRJG7WpfQbD0hxKM6uZW7G60ZiMkMG+o75BVkYvlpV83OK2PzziOFZtOYFeq4sYf/3lqUq5x7LYKEmSJEmSpI3aV6dlwN2jAPh7+Upqmlhx+tCxJ3PzwS9x5JZntbzxzExe/8mvABh93530f+OVdufbk6W12BhCOD+E8GIIYXUIYVkI4b4Qwpb1jg8MIVwXQngnhLA2hLAohHBtCKEgnXlLkiRJkiSp80ydCuHhYbAmk8U1lcyrKmk0rl+vAeT3anrV6qas2GFnFn3lSD467BhKRm3Wzmx7tnSPbNwbmAlMBg4EsoFHQgh9ksdHJLdzgW2A6cBUYFanZypJkiRJkqS0GDgQdtshC+4fAcDfy1Zt8DlrKotadY5XfnEV839+JZUFrS9W6gtpLTbGGKfGGGfHGN+MMc4nUUwsBHZKHn8jxnhEjPEfMcb3Y4yPAxcCXwkhZKUvc0mSJEmSJHWmadOAe0dCDbxZvZZPqysbjSupLObsJw5i+sMTWVu5puUnyMz84r9jJHNty1a01rrSPbKxodrp0Ss2EFMcY6zqhHwkSZIkSZK0EZg2Dfgsh4zX+wPwbBOFxD7Z+aytKqGqpoLXP/tPq8+Tu/hjJp95PDv+9HvtSbfH2miKjSGEDOBq4JkY4xtNxAwGfgb8oZl2ckII+bUb0K9DEpYkSZIkSVKn2XZbGDUKauYOAZouNgLsOHQfAF5Z9mSrz5NVsoYhLzzDiMcfZtOH7mtTrj3ZRlNsJHHvxm2AYxo7mCwcPgi8BVzUTDvnA0X1tk9SmqUkSZIkSZI6XQjJ0Y1PD4YI71SX8VlN41OpJw7dG4BXls9t9XlWf2k8704/I9HOxT+k/5uvtjXlHmmjKDaGEK4HDgX2jTGuVxwMIfQDHgZWA4fHGBvvSQmXkZhqXbuNTH3GkiRJkiRJ6mzTpgGf55Dzf4k78T1X2fiq1NsO3o3MkMXSko9YsmZhq8/z9mk/YOme+5NZXs6uZ8+g97Il7Um7R0lrsTEkXA8cDuwXY1zvXz85ovERoAL4aoyxrLk2Y4zlMcbi2o1EgVKSJEmSJEld3H77QV4elD86GIBnKxqfSp2b3Zfxg3YG2jaVmsxMXrr0eorHbUnvzz5l17NnuGBMC6V7ZONM4HjgWGB1CGFYcsuFdQqNfYAZQH69mMwmW5UkSZIkSVK3k5cHhxwCPJ24b+Nb1WtZWdP4GsIThySmUr+8bG6bzlXVtx/PX30z5f0H0n/Ba2z7/37apnZ6mnQXG08nMdV5LrCk3nZ08viOwK7AtsB7DWJGdXKukiRJkiRJSrMjjgCW9ab3wn5E4PkmFoqZNOwA9h75dfYr/Eabz1U6cjQv/PomVo/ZnPdPOLXN7fQkIcaY7hw6VHJ0ZFFRURH5+fnpTkeSJEmSJEntUFwMQ4ZAxeGL4LQP2DYrl0v6duySHaGqipiV1eTxTfvnMmmzgR2aQzoVFxdTUFAAUJC8bWGT0j2yUZIkSZIkSWqx/Hw48EBgbmIq9RtVa/m8ianUqVK/0Dho3n9coboZFhslSZIkSZLUpRxxBPBpLn3eLyACT1c0vj5wdazmg1Vv8J/FD6bkvEOfeYLdTj/WFaqbYbFRkiRJkiRJXcpXvwqZmVBy3yYAzK1ofGbvJ6vf5QdPTuWal8+mqqay3eddsf0k1owe5wrVzbDYKEmSJEmSpC5l0CDYd19g7hAyawIf1lTwYXX5enGj+m1Bv+z+lFev5YNVr7f7vFV9+/H8NbfUrVC90wVnEior2t1ud2KxUZIkSZIkSV3OEUcAa7Lp/eogAJ5sZCp1Rshg/KBdAHjz8+dTct7STQt54dc3UZ3di+Fz57DzuacSystS0nZ3YLFRkiRJkiRJXc43vwmbbvrFVOqnKlZTHeN6cVsP2hVIXbERYMWOu/L81TdTnZPD8KceZfNvHw9lFhzBYqMkSZIkSZK6oIICmD0beG4QrM7i81jFm1Xr30NxQrLYuGDFi9TEmpSdf/lu+/DcdbdRlZtHxchCyMlJWdtdmcVGSZIkSZIkdUkHHABnn5EBc4cA8NiaNevFjC3Yht6ZeZRUFrGo+O2Unv+znXfnydv/yUe/ugpCSGnbXZXFRkmSJEmSJHVZl10Goz9MFBufX1tCTYOp1JkZWWw5cBKQ2qnUtdaM2RwyLLHV8jchSZIkSZKkLqt3b7jyhP5Qkkl5XhXvNbIq9VFbnMUlu/2FAwqPSUOGPYvFRkmSJEmSJHVp++2ZAS8OBOCZ1aXrHZ8weDLbDtmdnKzczk6tx7HYKEmSJEmSpC5t0CAY8dEgAJ5dW5LmbHo2i42SJEmSJEnq8g7IHwg1sCyvjM9qKtc7vnjNB/zhtQu5fcEVaciu57DYKEmSJEmSpC7voF16wVv5ALxUuf5U6k9LP+afC2/lnwtvpaK6rLPT6zEsNkqSJEmSJKnL23NP4NnEVOrnytafSr3dkD0YnDuCksoinl8yp5Oz6zksNkqSJEmSJKnLKyyEYQsTxcbXq0spjzXrHM8MmexfeBQAjy26s9Pz6yksNkqSJEmSJKlb2G9sH1iaQ1VGZH7V+lOp9xuVKDa+tvzffFr6cWen1yNYbJQkSZIkSVK3sNeeAf4zGIDnK9efSr1Jn0K2G7wHkcgTi/7a2en1CBYbJUmSJEmS1C3suSfwdKLY+ELFGqpjXC9m/9FHA4mp1NU1VZ2ZXo9gsVGSJEmSJEndwvjxMPC/BVCUxWpqeKtq7Xoxk4dPZWTfzdl31JFU1lSkIcvuLSvdCUiSJEmSJEmpEALstXsG9z0zGL68lGcr17Btdt46MTmZuVy73+NkBMfgdQR/q5IkSZIkSeo2pk0Dnh4CJO7bWNPIVGoLjR3H36wkSZIkSZK6jcMOg4xX+0NJJp/HKt6rLm80LsbIS58+zp/fvqqTM+zeLDZKkiRJkiSp2xg8GPbfMxOeGwTAs5VrGo37tHQRv3ruRP7yztV8vPrdzkyxW7PYKEmSJEmSpG7lyCOpW5X6uco1xEamUg/rM5pdhx8MwD3vzuzM9Lo1i42SJEmSJEnqVg4/HDLmDYTyDJbUVPJhE6tOf/1LZwDwxMd38/ryZzozxW7LYqMkSZIkSZK6lcGDYb8pWfD8QAD+XbG60bgtBkxk6mbfAmDm/B9RXrW21ed6781sjj80n4svbnu+3YnFRkmSJEmSJHU7Rx4J/GsoAE9VrG50VWqAb219PoN6D2dpyUfc0YbFYl57MYd33szi5Zfbk233YbFRkiRJkiRJ3c7hh0PGC4NgTSbLYxULqssajcvL7sfp218OwD/ev4klaxa26jxvzMsBYJ992pVut2GxUZIkSZIkSd3OkCFw8L6Z8PQQAJ6qKG4ydtKw/fnauFP5yS5/ZHjfMS0+R1UlvPVKLwD23bd9+XYXFhslSZIkSZLULV14IfBYYir1v8vXUNnEVGqAk7b5GbsMP6hV7b+/IJuy0gwK+tew3XbtybT7sNgoSZIkSZKkbmn33eHAIQPgs16UhBpeqSpp0fOWr13MC0se2WBc7RTqibtWkWGVDbDYKEmSJEmSpG7slxcFeCIxunHOqjUbjF+yZiE/eOIgrpp3Oi8seYT33srm6Ydzqa5eP/b1ZLFxp10rU5pzV2axUZIkSZIkSd3W5MkwpWQTAF4JayiNjVQN69mkz2i2HLgTFaU5XPrztZx7/GB+ff5Afv6dwSxfmlkXV1kJC5KM3rOkAAAgAElEQVT3a5w0parjXkAXk9ZiYwjh/BDCiyGE1SGEZSGE+0IIWzaI6R1CmBlC+DyEsCaE8LcQwibpylmSJEmSJEldy29P7wuLcqnJivz5jYpGY96Y14vvHjaUs48axtpZ/6D3DR/BvO9CzICsMt58OYfvHTmApx/JBuD9N3tRXpZBr36rWZB5e2e+nI1aukc27g3MBCYDBwLZwCMhhD71Yn4LfAU4Mhk/Arink/OUJEmSJElSF7XrroGdViXGrj2wfA1vz++1zvGytYFrfj6AxR9ls+i9bN6cl0vZqv4M3rSEoaedCKdvA5s+T9maHH7946E8dl8eTz+TWN26YuQcbnj1fyirKuv017UxCrGZVXg6WwhhCLAM2DvG+FQIoQBYDhwbY7w7GbMVsACYEmN8rgVt5gNFRUVF5Ofnd2D2kiRJkiRJ2li9XbyW8S8/D9XQZ8ZkLv9NEaPGJqY/3/KbfP7+p34MGV7Fd3+6itVFGYQAu+yzlqycat76/HmeWfQwb95+DB8/fiAhRAYMrmbF8iwGfv1X/PycLThr9yMJIaT5VXaM4uJiCgoKAApijMXNxWZ1TkotVpD8uSL5cycSox0fqw2IMb4dQlgETAHWKzaGEHKAnHq7+nVMqpIkSZIkSeoqtsrPZZc++bxQUkzJpOWcf9KmnPSDIkZ/qZJ/3N4XgNMuWMXE3cobPDOTbQfvxraDdyNOhBsvXcPDd/dlxfJEWe0Xx85gt5E53bbQ2FrpnkZdJ4SQAVwNPBNjfCO5exhQEWNc1SD80+SxxpwPFNXbPumAdCVJkiRJktTFnDA8sSp1zleWsqY4g+suGsAFJw+hpiaw58Gl7LRHw0LjukKA75xfxP5fKwFgwOBqCsfWdHjeXclGU2wkce/GbYBj2tnOZSRGSNZuI9vZniRJkiRJkrqBo4YOJRMoH13CYRd+Sq/eNVSUB/r0q2HGeUUtaiMjA777s1WcfuFKfnzlChzQuK6NYhp1COF64FBgrxhj/ZGIS4FeIYT+DUY3bpI8tp4YYzlQV4Z2CKskSZIkSZIAhvbqxUEDB/LQihXkTPuU66ZEHvhzXybvu5b+g1o+QjEzEw7+RmkHZtp1pXVkY0i4Hjgc2C/GuLBByEtAJbB/vedsCRQCz3ZaopIkSZIkSeoWjtsksSr13MrVDB5RxYxzi5iwU0Was+o+0j2ycSZwLPA1YHUIofY+jEUxxrUxxqIQwizgNyGEFUAxcB3wbEtWopYkSZIkSZLqO2zwYAZkZfFpVSXPV65ht16uLZxK6b5n4+kk7qs4F1hSbzu6Xsw5wAPA34CnSEyf/nqnZilJkiRJkqRuoU9mJt8dMQKAe8tXEmNMc0bdS1qLjTHG0MQ2u15MWYzxjBjjwBhjnxjj12OMjd6vUZIkSZIkSdqQs0aOpHdGBu9Wl/NG1dp0p9OtpHtkoyRJkiRJktSphvbqxcnDEnfzu6d8ZZqz6V4sNkqSJEmSJKnH+eGoUWQAr1SV8kFVebrT6TYsNkqSJEmSJKnHGZuby1FDhwLwl/LPvXdjilhslCRJkiRJUo90QWEhmcDzlSU8Vbk63el0CxYbJUmSJEmS1CNt27cvP99sMwD+sHY5y2sq05tQN2CxUZIkSZIkST3WBYWF7NKvHyWxhutKP6XG6dTtYrFRkiRJkiRJPVZWRgZ/Gj+e3IwMXqtay5yKonSn1KVZbJQkSZIkSVKPtkVeHpeNHQvAXWUrqIg1ac6o67LYKEmSJEmSpB7v9BEjGJWTw8pYzSMVxelOp8uy2ChJkiRJkqQer1dGBucXFgJwj6Mb28xioyRJkiRJkgScPHw4I3NyWBGreczRjW1isVGSJEmSJEkCcjIy+ElydOPfylZS6ejGVrPYKEmSJEmSJCXNGDaMEb168Xms4u6ylelOp8ux2ChJkiRJkiQl9c7M5Ipx4wC4q3wFr1SWpDmjrsVioyRJkiRJklTPcZtswneGDycCvyldyvKaynSn1GVYbJQkSZIkSZIauGbzzdmpb19WxxquKFlCZYzpTqlLsNgoSZIkSZIkNdA7M5O7J0xgQFYW71aX86eyz9KdUpdgsVGSJEmSJElqxGa5uczeaisA7i9fxTzv37hBFhslSZIkSZKkJnx18GDO2nRTAK4t/ZTPa6rSnNHGzWKjJEmSJEmS1Iwrxo1jYt++FMdqflOylCrv39gki42SJEmSJElSM3IyMrhz663pm5nJm9VruXHtMqIFx0ZZbJQkSZIkSZI2YIu8PO4YP54APFpRzN/LV6U7pY2SxUZJkiRJkiSpBb4yeDC/GTcOgFvLPuOJimJHODZgsVGSJEmSJElqoe+PHMnpI0YQgWtKP+Xs1Yt4cM1KKmpq0p3aRsFioyRJkiRJktRCIQSu3XxzfjxqFH0zM/mopoKLPvuYnV96yVGOWGyUJEmSJEmSWiUrI4PLx41j0eTJXDpmDJtkZ/OVQYMIIaQ7tbQL3b3iGkLIB4qKiorIz89PdzqSJEmSJEnqZsqqq6mMkX5ZWelOpUMUFxdTUFAAUBBjLG4utnv+BiRJkiRJkqRO0jszk97pTmIj4TRqSZIkSZIkSSlhsVGSJEmSJElSSlhslCRJkiRJkpQSFhslSZIkSZIkpYTFRkmSJEmSJEkpYbFRkiRJkiRJUkqktdgYQtgrhPCPEMLiEEIMIRzW4HjfEML1IYRPQghrQwhvhRBOS1e+kiRJkiRJkpqW7pGNfYD5wBlNHP8NMBU4HhgPXA1cH0L4auekJ0mSJEmSJKmlstJ58hjjQ8BDACGExkJ2A26NMc5NPv5DCOFUYBfg/s7IUZIkSZIkSVLLpHtk44b8B/hqCGHTkLAvsAXwSFNPCCHkhBDyazegX2clK0mSJEmSJPVkG3ux8XvAW8AnQAXwMHBGjPGpZp5zPlBUb/uko5OUJEmSJEmSlOZp1C3wPWAy8FXgI2AvYGYIYXGM8bEmnnMZiXs91uoHfFJcXNyhiUqSJEmSJEndUWvqaiHG2IGptFwIIQKHxxjvSz7OJTEy8fAY44P14v4IjIwxTm1hu5vi6EZJkiRJkiSpvUbGGP/bXMDGPLIxO7nVNNhfTeumfy8GRgKrU5RXW/UjUfTcGHJR12CfUWvZZ9QW9hu1ln1GrWWfUWvZZ9QW9hu1ln2m9fqRqLM1K63FxhBCX2DzervGhBB2AFbEGBeFEJ4ErgwhrCUxjXpv4FvAD1p6jpgYutlsxbUz1Ftte3WM0Tnd2iD7jFrLPqO2sN+otewzai37jFrLPqO2sN+otewzbdKi31O6RzZOAp6o97j2Xou3AtOBY0jcg/F2YCCJguOFwA2dl6IkSZIkSZKklkhrsTHGOBcIzRxfCpzUaQlJkiRJkiRJarPW3PtQ7VMOXJz8KbWEfUatZZ9RW9hv1Fr2GbWWfUatZZ9RW9hv1Fr2mQ6y0axGLUmSJEmSJKlrc2SjJEmSJEmSpJSw2ChJkiRJkiQpJSw2SpIkSZIkSUoJi42SJEmSJEmSUsJiYxNCCHuFEP4RQlgcQoghhMMaHL8ohPB2CKEkhLAyhPBYCGHXRtqZFkJ4PoSwNhl3X4PjsZHtmAYx+4QQXg4hlIcQ3gshTO+QF612a2+/Sf5bN9YnYghh53px24UQng4hlIUQPg4h/KiRXI5MnqsshPB6COHLHfvq1Rad0WdCCJs1cXxyg3PZZ7qAVLw/hRC2CCH8PYTwWQihOITw7xDCvg1iCkMID4YQSkMIy0IIV4YQshrE+P7UBXRin/EzTTeSon6zYwjh0RDCqhDC5yGEP4QQ+jaI8VrTTXRin/Fa001sqM80iL0hGXN2g/0DQwi3J9+bVoUQZjXSZ/zu1I10Rr8Jfn9qN4uNTesDzAfOaOL4/wFnAtsCewAfAo+EEIbUBoQQjgD+BNwCbA/sDtzRSFsnAcPrbffVa2MM8CDwBLADcDXwxxDCwW1/aepA7e03/2HdvjAc+COwEJgHEELIBx4BPgJ2As4DLgohfKf2JCGE3YA/A7OAiST61H0hhG1S9DqVOh3eZ+o5oEHcS7UH7DNdSrvfn4AHgCxgPxLXkfnAAyGEYQAhhEwS7z29gN2AE4HpwC9rG/D9qUvp8D5Tj59puo929ZsQwgjgMeA9YFdgKjABmF3bgNeabqfD+0w9Xmu6hw31GQBCCIcDk4HFjRy+nUQ/ORA4FNgL+EO95/rdqfvp8H5Tj9+f2irG6LaBDYjAYRuIyU/G7Z98nAV8AsxoT9vA/wPeaLDvTuDhdP9e3FLfbxo5ng0sA35Wb9/pwAqgV719lwNv13v8F+CBBm09B9yQ7t+LW1r6zGbJ5+zQTLv2mS64tfH9aXDy8Z71Yvol9x2QfHwIUA1sUi/mNKCo9trj+1PX3Dqqz7SkbftM193a2G++A3wKZNSL2TYZs3nysdeabrp1VJ9pSdv2ma65NfXvCmxK4nv1BBIF6rPrHRuffN6kevumAjXAiORjvzt1460D+81m+P2pXZsjG1MghNCLxJtjEYkKO8COJDp4TQjhlRDCkhDCQ01UuWeGxLSkF0IIJ4cQQr1jU0j8ha++Ocn96sKa6DcNfRUYRGJ0bK0pwFMxxop6++YAW4YQBtSLsd90M+3oM7XuD4kpav8OIXy1wTH7TDfURJ/5HHgH+FYIoU9ITFc8lUSRuvavtVOA12OMn9Zrbg6JL4YT6sXYZ7qZdvSZWn6m6YGa6Dc5QEWMsaZe6Nrkzz2SP73W9FDt6DO1vNb0ACGEDBIzBa+MMb7ZSMgUYFWMsf5snsdIFI12rRfjd6ceJEX9ppbfn9rIYmM7hBAODSGsAcqAc4ADY4yfJQ+PTf68CPgViaG5K4G5IYSB9Zr5OXAUieG7fwN+B3yv3vFhJP7CV9+nQH4IITd1r0adZQP9pqEZwJwY4yf19jXVJ2qPNRfTcLqbuoAU9Jk1wA+BI4FpwL9JDPGv/4Zpn+lGmuszMfFn1wNITPdYnYz5ATA1xrgy2UR7rjO+P3VBKegz4GeaHmcD70+PA8NCCOeFEHolv9Rfnjw2PPnTa00Pk4I+A15repIfA1XAtU0cH0biD191YoxVJEYybugaQgti/BzcNaWi3/j9qZ2yNhyiZtTeB2Qw8G3grhDCrjHGZXxRyP2fGOPfAEIIJ5EYynskcCNAjPGSeu29EkLoQ+I+Ek39j6Gur7l+UyeEMBI4mMSHKfVs7eozyQ/xv6m368XkfZHOA+7vyMSVNk32meToj5kkPmTtSWLUyCnAP0IIO8cYl6QraaVVu/uMn2l6pCb7TYzxzRDCiSTefy4jMV36WhJfxGqaalDdXrv7jNeaniGEsBPwfWDH5B+9pA1KVb/x+1P7ObKxHWKMJTHG92KMz8UYZ5Cons9IHq79svZWvfhy4AOgsJlmnwdGhhByko+XAps0iNkEKI4xrkVdzgb6TX0nkZi61vBi1lSfqD3WXMxS1OWkoM805nlg83qP7TPdyAb6zH4kRtsfE2N8Jsb4cozxuyQKSCcmY9pznfH9qQtKQZ9pjJ9purkNvT/FGO+IMQ4jcWuhQSRm/Awh8XkYvNb0OCnoM43xWtM97QkMBRaFEKpCCFXAaODXIYQPkzFLkzF1krf6GMiGryG0IMbPwV1PqvpNY/z+1AoWG1Mrg8S9RiBxD6NyYMvagyGEbBI3Gv2omTZ2AFYmC5MAzwL7N4g5MLlf3UP9fgNAchTJScBtMcbKBvHPAnsl+1OtA4F36k1ns990b63tM43ZgS/+KAL2me6ufp/JS/5sOLKohi8+FzwLbBtCqP9B7ECgmC/+iGaf6d5a22ca42eanme99yeAGOOnMcY1wNEkps8+mjzktUat7TON8VrTPf0J2I7Ev2/tthi4ksRMHkj8m/ZPjmartR+JfvV8vRi/O/Ucqeo3jfH7U2t0xio0XXED+vJF54wk7imyA4lRiX2AS0ksoz4a2Am4mcQb4YR6bVxNYtr0QSSKjn8kMQ1gQPL4V0hMQ9qGRIX8dKAEuLheG2OS+64AtgK+S+IvgAen+3fk1jH9JtnO/snnb9XIOQpI/LXkNhI3Tz862Ue+Uy9mN6CSxH0mtiLxV+EKYJt0/47c0tJnTgS+mewLWwEXkJiadJJ9putt7e0zJKaufUbiPlfbA1uQ+ABWAWyfjMkEXidxk+vtSXw4WwZcWi8P35+6yNZJfcbPNN1sS8X7E3AmiUUTtwDOAEqBs+od91rTjbZO6jNea7rR1lyfaSL+Q+qtKpzc9xDwMrALsDvwf8Ad9Y773ambbZ3Ub/z+1N5/p3QnsLFuwD7Jjttwmw30Bu4B/kti9OJi4O/Azg3ayAauIlFgLCbxF7n6b6ZTgVdI3Gx9DfAqidUdMxrJ5ZXkud4Hpqf79+PWcf0m2c4dwDPNnGc74GkSH9A+AX7cSMyRJFYPLQfeAL6c7t+PW3r6TPLN8i0SH6yKSPzF7hv2ma65pej9aRKJL/efJ9+fngUOaRAzGvgniS96y5PvZ1mN5OL700a+dUafwc803W5LUb+5LdlnykmsOHxCI+fxWtNNts7oM15rutfWXJ9pIv5D1i8aDSTxOXg1ic+5NwN9G8T43akbbZ3Rb/D7U7u3kPwFSZIkSZIkSVK7eM9GSZIkSZIkSSlhsVGSJEmSJElSSlhslCRJkiRJkpQSFhslSZIkSZIkpYTFRkmSJEmSJEkpYbFRkiRJkiRJUkpYbJQkSZIkSZKUEhYbJUmSJEmSJKWExUZJkiRJkiRJKWGxUZIkSZIkSVJKWGyUJEmSJEmSlBIWGyVJkiRJkiSlhMVGSZIkSZIkSSlhsVGSJEmSJElSSlhslCRJkiRJkpQSFhslSZIkSZIkpYTFRkmSJEmSJEkpYbFRkiRJkiRJUkpYbJQkSZIkSZKUEhYbJUmSJEmSJKWExUZJkiRJkiRJKWGxUZIkSZIkSVJKWGyUJEmSJEmSlBIWGyVJkiRJkiSlhMVGSZIkSZIkSSlhsVGSJEmSJElSSlhslCRJUouEEKaHEGJy26OR4yGE8HHy+AONHO8fQihLHh/fzHkyQwgnhRDmhhBWhBDKQwgfhhBuCSFMaiKfmGx7cQhhTgjhrBBCv9S9ekmSJLWExUZJkiS1VhlwbCP79wZGAuVNPO9IIAJLgeMaCwgh5AIPADcDAbgUOB24DZgCvBBCGNngaT8HTkjGXZfcdzXweghhu5a9JEmSJKVCVroTkCRJUpfzT+DIEMJZMcaqevuPBV4CBjfxvOOTz/0oGfvTRmKuBKYC58QYr65/IIRwMXBOI895KMY4r97jy0II+5EoWt4fQhgfY1zbgtclSZKkdnJkoyRJklrrz8Ag4MDaHSGEXsA3gDsae0IIoRDYE7gzuY0JIezWIGYkcCrwaMNCI0CMsTrGeFWM8ZMNJRhjfBy4BBhNosgpSZKkTmCxUZIkSa31IfAs8M16+w4BCkgUEhvzTaAEeCDG+ALwPutPpT6ExMybP6Uoz9p2DkpRe5IkSdoAi42SJElqizuAw5L3WIRE4fDJGOPiJuKPA/5ebzrzX4CjQgj1b+tTu2jM66lIMDkCsggYl4r2JEmStGEWGyVJktQWdwG5wKHJVZ8Ppekp1NsB25KYfl3rzyTu7XhwvX35yZ+rU5jnGsBVqSVJkjqJC8RIkiSp1WKMy0MIj5FY6CUPyATubiL8eBJTqD8IIWye3FdGYjr2ccCDyX3FyZ+pLA72BZalsD1JkiQ1w2KjJEmS2uoO4CZgGIkVoVc1DAghBBL3a+wDvNVIG0NDCH1jjGuAt5P7tgVebW9yyQVnCoD32tuWJEmSWsZioyRJktrqXuBGYDJwdBMxewMjgZ8DCxocGwD8ATgM+F/gIaCaxEjIVCwSc0Ly55wUtCVJkqQWsNgoSZKkNokxrgkhnA5sBvyjibDaKdRXxhjLGh4MIZxHYir1/8YYPw4h3AScFkL4XozxugaxGcA5wF+Si780KYSwH/AzYCFwe+temSRJktrKYqMkSZLaLMZ4a1PHQgg5wBHAo40VGpPuB74fQhgaY1wG/JDE6tHXhhC+DjwArAQKgSOBrYA7G7RxSAhhKxKfbTcB9gMOBD4CvtrMuSVJkpRiFhslSZLUUaYB/Wl61CPJYz8EjgGujTGWhhAOAaYDJ5IYnZgHLAYeB46LMf63QRu/TP6sAFYArwNnA7fEGFO5srUkSZI2IMQY052DJEmSJEmSpG4gI90JSJIkSZIkSeoeLDZKkiRJkiRJSgmLjZIkSZIkSZJSwmKjJEmSJEmSpJSw2ChJkiRJkiQpJSw2SpIkSZIkSUqJrHQn0NFCCAEYAaxOdy6SJEmSJElSF9UPWBxjjM0FdftiI4lC4yfpTkKSJEmSJEnq4kYC/20uoCcUG1cDfPzxx+Tn56c7F0mSJEmSJKlLKS4uZtSoUdCCmcM9odgIQH5+vsVGSZIkSZIkqQO5QIwkSZIkSZKklLDYKEmSJEmSJCklLDZKkiRJkiRJSokec89GSZIkSZIkbVh1dTWVlZXpTkOdKDs7m8zMzJS0ZbFRkiRJkiRJxBhZunQpq1atSncqSoP+/fszbNgwQgjtasdioyRJkiRJkuoKjUOHDiUvL6/dRSd1DTFGSktLWbZsGQDDhw9vV3sWGyVJkiRJknq46urqukLjoEGD0p2OOllubi4Ay5YtY+jQoe2aUu0CMZIkSZIkST1c7T0a8/Ly0pyJ0qX237699+tMa7ExhLBXCOEfIYTFIYQYQjiswfHZyf31t4fTla8kSZIkSVJ35tTpnitV//bpHtnYB5gPnNFMzMPA8HrbNzshL0mSJEmSJEmtlNZ7NsYYHwIegmarp+UxxqWdlpQkSZIkSZKkNukKC8TsE0JYBqwEHgd+GmP8PM05bVRKKkqaPJaZkUnvrN4tis0IGeRm57YptrSylBhjo7EhBPKy89oUu7ZyLTWxpsk8+vTq06bYsqoyqmuqUxKbl/3FCl3lVeVU1VSlJDY3O5eMkBh8XFFdQWV10/dMaE1s76zeZGZktjq2srqSiuqKJmNzsnLIyshqdWxVTRXlVeVNxvbK7EV2ZnarY6trqimrKmsyNjszm16ZvVodWxNrWFu5NiWxWRlZ5GTlAMnVvypLUxLbmv/vvUY0Hus1wmuE14jWx3qNaFus14gErxGtj/UakeA1om2xXiMSvEasH1ubc1P9MoRQ1x9qY5vS0tjaftAe06dP59Zbb+XUU0/lhhtuWOfYGWecwe9+9ztOPPFEZs+eXbf/2WefZY899mDq1Kk8+OCD67VZUVHB1Vdfze233867775LXl4eW265JaeccgrHH3882dnZdecFyMrKYuDAgWy33XZ885vfZPr06WRkpHtCcXps7MXGh4F7gIXAOOBS4KEQwpQYY6O9NISQA+TU29Wvw7NMs76X9W3y2Je/9GUePPaL/2mGXjW0yYvM3qP3Zu70uXWPN7tmMz4r/azR2EkjJvHit1+se7z1zK35qOijRmO3HrI1b373zbrHO9+0M28tf6vR2NEFo/nw7A/rHu81ey/mLZ7XaOzgvMEsP2953eNDbj+EJz96stHYvOw8Si744gPNEXcdwT/f/WejsQDxF198QDnh3hO4+627m4xdc/6aug8Mpz5wKrfOv7XJ2GXnLmNInyEA/GDOD/jdvN81Gbvw+wvZrP9mAFz4rwu56tmrmox94/Q3mDB0AgCXPn0pFz95cZOxL5zyAjtvujMA1zx3DT967EdNxj5x4hPss9k+APzhpT9w5kNnNhn7wDcfYNoW0wC4/fXbOenvJzUZe9c37uLICUcCcO+Ceznq7qOajL3la7cwfYfpAMx5bw6H/vnQJmOvP+R6ztglcVeGpxc9zb637ttk7BUHXMF5u58HwMtLXmaXP+7SZOwv9v4FF+1zEQALli9gm99v02TsuVPO5cqDrgRgUdEixlwzpsnY7076LjOnzQTgs9LPGHrV0CZjT9z+RGYfNhtIfIhu7v/7b2z9Df565F/rHnuNSPAa4TXCa0SC14gErxFf8BqR4DUiwWtEgteIL3iNSOgp14iaWMOCzxY0WS0a0HsA4waOq3v8ytJXmmy3IKeALw36Ut3j+Z/Ob7RoP2nEpCbbaI1Ro0Zx55138tvf/rZuZeWysjLuuOMOCgsL14ufNWsW3/ve95g1axaLFy9mxIgRdccqKio4+OCDmT9/Ppdccgm77747+fn5PPfcc1x11VVMnDiRHXbYAYCpU6dyyy23UF1dzaeffsrDDz/M97//fe6++27uv/9+srI29tJb6m3UrzjGeGe9h6+HEF4D3gf2Af7VxNPOB37RwalJkiRJkiRpI7Hjjjvy/vvvc88993DccccBcM8991BYWMiYMesWZtesWcNf/vIX5s2bx9KlS5k9ezYXXHBB3fGrr76ap556innz5jFx4sS6/WPHjuXII4+kouKL0bU5OTkMGzYMgE033ZQdd9yRyZMns//++zN79mxOOeWUjnzZG6XQ1BDzzhZCiMDhMcb7NhC3nMRU6hubON7YyMZPioqKyM/PT1m+GxOnNrQ+1qkNTm3oylMbnP7kNQK8RtTyGtH6WK8RX/Aa0fpYrxEJXiNaH+s1om2xXiMSvEa0PrYt14iysjIWLlxI4ehCevfuvU5MaUWiP7VmGnVOVia9kqP6qqprWFtZSUYI9M7+Ytp0aUXVetOo83q1flzc9OnTWbVqFXvvvTcPPvggjz32GAAHHHAAhx56KHPnzqV///5106hvvvlmfv/73/Piiy/ywAMPcPbZZ/Puu+/W/T+0/fbbM2zYMObMmdOi89533/qlrB122IERI0bwz382PdJ5Y1PbB8aMGbNeHyguLqagoACgIMZY3Fw7XarYGEIYCSwCDosx3t/CdvOBou5cbJQkSZIkSWqP5gpNm/1k/XsabsjMY3dk2nbDAXjwtSWcccfL7DpmIH85dUpdzI6XPMqKknWLxx9ePq3V56ot+t10002MGkZmsIwAACAASURBVDWKd955B4CtttqKjz/+mFNOOWWdYuPuu+/OUUcdxfe//32qqqoYPnw4f/3rX9lnn30AyMvL49vf/jbXXHNNi87bWLHxmGOO4bXXXuOttxq/tcPGKFXFxrROow4h9AU2r7drTAhhB2BFcvsF8DdgKYl7Nl4BvAc0X1qWJEmSJElSjzJkyBCmTZvG7NmziTEybdo0Bg8evE7MO++8wwsvvMC9994LJBZ2Ofroo5k1a1ZdsTEVA/NijHUjJXuadN+zcRLwRL3Hv0n+vBU4HdgOOBHoDywGHgF+FmNsemyzJEmSJEmSUuatXx7c6uf0yvxiuvXBEzbhrV8eTEaD4tu/f9z0QjttdfLJJ3PmmYkFh2bOnLne8VmzZlFVVbXOgjAxRnJycrj++uspKChgiy224O23325XHgsWLFjvXpE9RVqLjTHGuUBzZd7W92ZJkiRJkiSlTFvuo1hfVmYGWfWKj6lqtzFTp06loqKCEAIHH7xuWamqqorbbruNX//61xx00EHrHDvssMP485//zGmnncaxxx7LBRdcwCuvvLLOAjEAlZWVVFRU0KdPH5ry+OOP8/rrr3POOeek7oV1Iev/S0uSJEmSJEldUGZmJgsWLOCtt94iM3PdxWceeOABVq5cyYwZM9hmm23W2Y444ghmzZoFwNlnn83uu+/O/vvvz8yZM5k/fz4ffPABd911F5MnT+bdd9+ta7O8vJylS5fy3//+l5dffplLL72Ur33taxx66KF861vf6tTXvrFI9zRqSZIkSZIkKWWaWiB41qxZHHDAAbULnazjiCOO4IorruC1115ju+2249FHH+W3v/0tN954I+eeey55eXmMHz+es846i2222abueQ8//DDDhw8nKyuLAQMGsP3223Pttddy4oknkpHRM8f4bTSrUXcUV6OWJEmSJElqXnMrEatnSNVq1D2zxCpJkiRJkiQp5Sw2SpIkSZIkSUoJi42SJEmSJEmSUsJioyRJkiRJkqSUsNgoSZIkSZIkKSUsNkqSJEmSJElKCYuNkiRJkiRJklLCYqMkSZIkSZKklLDYKEmSJEmSJCklLDZKkiRJkiRJSgmLjZIkSZIkSeqypk+fTgiB0047bb1jZ5xxBiEEpk+f3vmJtdJFF13EDjvskO402s1ioyRJkiRJkrq0UaNGceedd7J27dq6fWVlZdxxxx0UFhamMbOex2KjJEmSJEmSurQdd9yRUaNGcc8999Ttu+eeeygsLGTixIl1+8rLyznrrLMYOnQovXv3Zo899uDFF1+sOz537lxCCMyZM4eJEyeSm5vLfvvtx7Jly3jooYcYP348+fn5HHvssZSWltY9r6amhssuu4wxY8aQm5vL9ttvz913371eu//617+YNGkSeXl57LbbbrzzzjsAzJ49m4svvpj58+cTQiCEwOzZs/nwww8JIfDqq6/WtbVq1SpCCMydO7ddOXcUi42SJEmSJElaT4xQUtL5W4xty/fkk0/mlltuqXt88803c9JJJ60T86Mf/Yi//e1v3Hrrrbz88stsvvnmHHzwwaxYsWKduIsuuojrr7+e//znP3z88cccddRRXH311dxxxx08+OCDPPLII1x33XV18Zdddhm33XYbN9xwA2+++SbnnHMOxx9/PE8++eQ67V544YX8+te/Zt68eWRlZXHyyScDcPTRR/PDH/6QCRMmsGTJEpYsWcLRRx/dqtff2pw7SlaHn0GSJEmSJEldTmkp9O3b+eddswb69Gn9844//njOP/98PvroIwCeeeYZ7rzzzroRgCUlJfz+979n9uzZHHLIIQDcdNNNPProo8yaNYvzzjuvrq1f/epX7L777gDMmDGD888/n/fff5+xY8cC8I1vfIMnnniCH//4x5SXl3PppZfy2GOPMWXKFADGjh3Lv//9b2688Ub23nvvunb/53/+p+7xT37yE6ZNm0ZZWRm5ubn07duXrKwshg0b1voX38qcO5LFRkmSJEmSJHV5Q4YMYdq0acyePZsYI9OmTWPw4MF1x99//30qKyvrCnIA2dnZ7LLLLixYsGCdtrbbbru6/95kk03Iy8urK9rV7nvhhRcAeO+99ygtLeXAAw9cp42Kiop1pnA3bHf48OEALFu2LCX3lWxNzh3JYqMkSZIkSZLWk5eXGGWYjvO21cknn8yZZ54JwMyZM9vcTnZ2dt1/hxDWeVy7r6amBoA1yV/Sgw8+yKabbrpOXE5OTrPtAnXtNCYjI3EHxFhvbnllZWW7c+5IFhslSZIkSZK0nhDaNp05naZOnUpFRQUhBA4++OB1jo0bN45evXrxzDPPMHr0aCBRuHvxxRc5++yz23zOrbfempycHBYtWrTOlOnW6tWrF9XV1evsGzJkCABLliypGyVZf7GYjZHFRkmSJEmSJHULmZmZdVOiMzMz1znWp08fTj/9dM477zwGDhxIYWEhV1xxBaWlpcyYMaPN5+zXrx/nnnsu55xzDjU1Neyxxx4UFRXxzDPPkJ+fz4knntiidjbbbDMWLlzIq6++ysiRI+nXrx+5ublMnjyZyy+/nDFjxrBs2TJ++tOftjnXzmCxUZIkSZIkSd1Gfn5+k8cuv/xyampqOOG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\n",
            "text/plain": [
              "<Figure size 1600x1000 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "adgbGpM0TDdf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data_FT = dataset_ex_df[['Date', 'Close']]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T1yyFW0yTL4c",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "close_fft = np.fft.fft(np.asarray(data_FT['Close'].tolist()))\n",
        "fft_df = pd.DataFrame({'fft':close_fft})\n",
        "fft_df['absolute'] = fft_df['fft'].apply(lambda x: np.abs(x))\n",
        "fft_df['angle'] = fft_df['fft'].apply(lambda x: np.angle(x))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kDta1hcrTPGU",
        "colab_type": "code",
        "outputId": "a850ca72-186f-4bcf-da81-03daddae5a66",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 631
        }
      },
      "source": [
        "plt.figure(figsize=(14, 7), dpi=100)\n",
        "fft_list = np.asarray(fft_df['fft'].tolist())\n",
        "for num_ in [3, 6, 9, 100]:\n",
        "    fft_list_m10= np.copy(fft_list); fft_list_m10[num_:-num_]=0\n",
        "    plt.plot(np.fft.ifft(fft_list_m10), label='Fourier transform with {} components'.format(num_))\n",
        "plt.plot(data_FT['Close'],  label='Real')\n",
        "plt.xlabel('Days')\n",
        "plt.ylabel('USD')\n",
        "plt.title('Figure 3: General Electrics (close) stock prices & Fourier transforms')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uivq4a-KTRb7",
        "colab_type": "code",
        "outputId": "fa1d7f10-c01b-42eb-bb7c-da094f3dfbd7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 490
        }
      },
      "source": [
        "from collections import deque\n",
        "items = deque(np.asarray(fft_df['absolute'].tolist()))\n",
        "items.rotate(int(np.floor(len(fft_df)/2)))\n",
        "plt.figure(figsize=(10, 7), dpi=80)\n",
        "plt.stem(items)\n",
        "plt.title('Figure 4: Components of Fourier transforms')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 800x560 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z-CyW8QwTdU7",
        "colab_type": "code",
        "outputId": "fc811b00-0cdd-48cd-c468-a33d2fa712c1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        }
      },
      "source": [
        "from statsmodels.tsa.arima_model import ARIMA\n",
        "from pandas import DataFrame\n",
        "from pandas import datetime\n",
        "\n",
        "series = data_FT['Close']\n",
        "model = ARIMA(series, order=(5, 1, 0))\n",
        "model_fit = model.fit(disp=0)\n",
        "print(model_fit.summary())"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "                             ARIMA Model Results                              \n",
            "==============================================================================\n",
            "Dep. Variable:                D.Close   No. Observations:                14057\n",
            "Model:                 ARIMA(5, 1, 0)   Log Likelihood               -1815.684\n",
            "Method:                       css-mle   S.D. of innovations              0.275\n",
            "Date:                Sat, 23 May 2020   AIC                           3645.369\n",
            "Time:                        02:13:26   BIC                           3698.225\n",
            "Sample:                             1   HQIC                          3662.962\n",
            "                                                                              \n",
            "=================================================================================\n",
            "                    coef    std err          z      P>|z|      [0.025      0.975]\n",
            "---------------------------------------------------------------------------------\n",
            "const             0.0014      0.002      0.693      0.488      -0.003       0.005\n",
            "ar.L1.D.Close    -0.0241      0.008     -2.867      0.004      -0.041      -0.008\n",
            "ar.L2.D.Close    -0.0553      0.008     -6.569      0.000      -0.072      -0.039\n",
            "ar.L3.D.Close     0.0080      0.008      0.952      0.341      -0.009       0.025\n",
            "ar.L4.D.Close    -0.0176      0.008     -2.086      0.037      -0.034      -0.001\n",
            "ar.L5.D.Close    -0.0517      0.008     -6.134      0.000      -0.068      -0.035\n",
            "                                    Roots                                    \n",
            "=============================================================================\n",
            "                  Real          Imaginary           Modulus         Frequency\n",
            "-----------------------------------------------------------------------------\n",
            "AR.1            1.3962           -1.1244j            1.7927           -0.1079\n",
            "AR.2            1.3962           +1.1244j            1.7927            0.1079\n",
            "AR.3           -0.5879           -1.6529j            1.7543           -0.3044\n",
            "AR.4           -0.5879           +1.6529j            1.7543            0.3044\n",
            "AR.5           -1.9569           -0.0000j            1.9569           -0.5000\n",
            "-----------------------------------------------------------------------------\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X9EHbWfwTl5F",
        "colab_type": "code",
        "outputId": "da16d2a3-11db-4b20-c419-6c477d80ce67",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 301
        }
      },
      "source": [
        "from pandas.plotting import autocorrelation_plot\n",
        "autocorrelation_plot(series)\n",
        "plt.figure(figsize=(10, 7), dpi=80)\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x560 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3vhRqqWrTrDr",
        "colab_type": "code",
        "outputId": "f3efaa96-c8da-4687-84ee-e38042dc78b8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "from pandas import datetime\n",
        "from tqdm import tqdm\n",
        "from statsmodels.tsa.arima_model import ARIMA\n",
        "from sklearn.metrics import mean_squared_error\n",
        "\n",
        "X = series.values\n",
        "size = int(len(X) * 0.66)\n",
        "train, test = X[0:size], X[size:len(X)]\n",
        "history = [x for x in train]\n",
        "predictions = list()\n",
        "for t in tqdm(range(len(test))):\n",
        "    model = ARIMA(history, order=(5,1,0))\n",
        "    model_fit = model.fit(disp=0)\n",
        "    output = model_fit.forecast()\n",
        "    yhat = output[0]\n",
        "    predictions.append(yhat)\n",
        "    obs = test[t]\n",
        "    history.append(obs)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 4780/4780 [58:22<00:00,  1.36it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qhgv2HbjTtCL",
        "colab_type": "code",
        "outputId": "c2072a0d-39f3-4a6f-ad3c-6eca1828d4f7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "error = mean_squared_error(test, predictions)\n",
        "print('Test MSE: %.3f' % error)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Test MSE: 0.210\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5sqronX3TwAU",
        "colab_type": "code",
        "outputId": "c05bc474-80fa-4682-aa93-d01ebe20475e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 554
        }
      },
      "source": [
        "plt.figure(figsize=(10, 6), dpi=100)\n",
        "plt.plot(test, label='Real')\n",
        "plt.plot(predictions, color='red', label='Predicted')\n",
        "plt.xlabel('Days')\n",
        "plt.ylabel('USD')\n",
        "plt.title('Figure 5: ARIMA model on GE stock')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B5jwTNBvTxoK",
        "colab_type": "code",
        "outputId": "8a897904-d2a2-4a63-e227-57753deb63af",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "dataset_total_df= dataset_TI_df\n",
        "\n",
        "print('Total dataset has {} samples, and {} features.'.format(dataset_total_df.shape[0], \\\n",
        "                                                              dataset_total_df.shape[1]))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Total dataset has 14038 samples, and 12 features.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N8hP_lNUvsH4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def get_feature_importance_data(data_income):\n",
        "    data = data_income.copy()\n",
        "    y = data['Close']\n",
        "    X = data.iloc[:, 1:]\n",
        "    \n",
        "    train_samples = int(X.shape[0] * 0.65)\n",
        " \n",
        "    X_train = X.iloc[:train_samples]\n",
        "    X_test = X.iloc[train_samples:]\n",
        "\n",
        "    y_train = y.iloc[:train_samples]\n",
        "    y_test = y.iloc[train_samples:]\n",
        "    \n",
        "    return (X_train, y_train), (X_test, y_test)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F1zx7ILQv9ZF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Get training and test data\n",
        "(X_train_FI, y_train_FI), (X_test_FI, y_test_FI) = get_feature_importance_data(dataset_TI_df)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9tn0jLORwAdp",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "regressor = xgb.XGBRegressor(gamma=0.0,n_estimators=150,base_score=0.7,colsample_bytree=1,learning_rate=0.05)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sr0luKyXwHSd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "xgbModel = regressor.fit(X_train_FI,y_train_FI, \\\n",
        "                         eval_set = [(X_train_FI, y_train_FI), (X_test_FI, y_test_FI)], \\\n",
        "                         verbose=False)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KplvoKp2wJTe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "eval_result = regressor.evals_result()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xq3Q6j44wPz-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "training_rounds = range(len(eval_result['validation_0']['rmse']))\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NJiO2yR7wRXK",
        "colab_type": "code",
        "outputId": "de79d936-1eae-4904-dd23-1060e6ccd532",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        }
      },
      "source": [
        "plt.scatter(x=training_rounds,y=eval_result['validation_0']['rmse'],label='Training Error')\n",
        "plt.scatter(x=training_rounds,y=eval_result['validation_1']['rmse'],label='Validation Error')\n",
        "plt.xlabel('Iterations')\n",
        "plt.ylabel('RMSE')\n",
        "plt.title('Training Vs Validation Error')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}