Crypto_Analysis_031421.ipynb

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  "metadata": {
    "colab": {
      "name": "Crypto Analysis.031421.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "81dZfJrWVzg1"
      },
      "source": [
        "# Description: this program analysis cryptocurrencies based on\n",
        "# their Yahoo ticker"
      ],
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JBnClvNoV_FU"
      },
      "source": [
        "# Import the libraries\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas_datareader as web\n",
        "plt.style.use('dark_background')"
      ],
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fCk1NUEdYEZS"
      },
      "source": [
        "# Grab the data \n",
        "BTC = web.DataReader('BTC-USD', data_source='yahoo', start='2015-01-01',end='2021-03-14')\n",
        "LTC = web.DataReader('LTC-USD', data_source='yahoo', start='2015-01-01',end='2021-03-14')\n",
        "ETH = web.DataReader('ETH-USD', data_source='yahoo', start='2015-01-01',end='2021-03-14')\n",
        "DOGE = web.DataReader('DOGE-USD', data_source='yahoo', start='2015-01-01',end='2021-03-14')"
      ],
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NauO19Leceww"
      },
      "source": [
        "# Drop unneeded columns\n",
        "BTC = BTC.drop(columns=['High', 'Low', 'Close', 'Volume','Open'])\n",
        "LTC = LTC.drop(columns=['High', 'Low', 'Close', 'Volume','Open'])\n",
        "ETH = ETH.drop(columns=['High', 'Low', 'Close', 'Volume','Open'])\n",
        "DOGE = DOGE.drop(columns=['High', 'Low', 'Close', 'Volume','Open'])"
      ],
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5D5dTOBkerD6"
      },
      "source": [
        "# Change column headers\n",
        "BTC_new = BTC.rename(columns={'Adj Close': 'BTC'})\n",
        "LTC_new = LTC.rename(columns={'Adj Close': 'LTC'})\n",
        "ETH_new = ETH.rename(columns={'Adj Close': 'ETH'})\n",
        "DOGE_new = DOGE.rename(columns={'Adj Close': 'DOGE'})"
      ],
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "W6R1_zR4fD3Q",
        "outputId": "cd7add77-d8cc-4155-ad55-ee93a6749ddc"
      },
      "source": [
        "# Condense to a single dataframe\n",
        "CRYPTO = BTC_new\n",
        "CRYPTO = CRYPTO.join(LTC_new)\n",
        "CRYPTO = CRYPTO.join(ETH_new)\n",
        "CRYPTO = CRYPTO.join(DOGE_new)\n",
        "CRYPTO"
      ],
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    .dataframe tbody tr th {\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>BTC</th>\n",
              "      <th>LTC</th>\n",
              "      <th>ETH</th>\n",
              "      <th>DOGE</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2015-01-01</th>\n",
              "      <td>314.248993</td>\n",
              "      <td>2.699050</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000183</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-02</th>\n",
              "      <td>315.032013</td>\n",
              "      <td>2.667360</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000186</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-03</th>\n",
              "      <td>281.082001</td>\n",
              "      <td>2.133160</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000167</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-04</th>\n",
              "      <td>264.195007</td>\n",
              "      <td>1.956680</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000158</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-05</th>\n",
              "      <td>274.473999</td>\n",
              "      <td>2.082180</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000161</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-10</th>\n",
              "      <td>56008.550781</td>\n",
              "      <td>200.516861</td>\n",
              "      <td>1799.166260</td>\n",
              "      <td>0.056004</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-11</th>\n",
              "      <td>57805.121094</td>\n",
              "      <td>201.250336</td>\n",
              "      <td>1826.194946</td>\n",
              "      <td>0.055918</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-12</th>\n",
              "      <td>57332.089844</td>\n",
              "      <td>220.829407</td>\n",
              "      <td>1772.102417</td>\n",
              "      <td>0.055349</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-13</th>\n",
              "      <td>61243.085938</td>\n",
              "      <td>226.578293</td>\n",
              "      <td>1924.685425</td>\n",
              "      <td>0.062432</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-15</th>\n",
              "      <td>60112.175781</td>\n",
              "      <td>218.584839</td>\n",
              "      <td>1883.492920</td>\n",
              "      <td>0.058988</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2337 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                     BTC         LTC          ETH      DOGE\n",
              "Date                                                       \n",
              "2015-01-01    314.248993    2.699050          NaN  0.000183\n",
              "2015-01-02    315.032013    2.667360          NaN  0.000186\n",
              "2015-01-03    281.082001    2.133160          NaN  0.000167\n",
              "2015-01-04    264.195007    1.956680          NaN  0.000158\n",
              "2015-01-05    274.473999    2.082180          NaN  0.000161\n",
              "...                  ...         ...          ...       ...\n",
              "2021-03-10  56008.550781  200.516861  1799.166260  0.056004\n",
              "2021-03-11  57805.121094  201.250336  1826.194946  0.055918\n",
              "2021-03-12  57332.089844  220.829407  1772.102417  0.055349\n",
              "2021-03-13  61243.085938  226.578293  1924.685425  0.062432\n",
              "2021-03-15  60112.175781  218.584839  1883.492920  0.058988\n",
              "\n",
              "[2337 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "hd31PD_2hASI",
        "outputId": "db7878cd-d129-4aee-f79c-bb442c15880e"
      },
      "source": [
        "# Get some statsistics on the date\n",
        "CRYPTO.describe()"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    }\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>BTC</th>\n",
              "      <th>LTC</th>\n",
              "      <th>ETH</th>\n",
              "      <th>DOGE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>2337.000000</td>\n",
              "      <td>2337.000000</td>\n",
              "      <td>2113.000000</td>\n",
              "      <td>2337.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>6273.547968</td>\n",
              "      <td>51.865113</td>\n",
              "      <td>265.078277</td>\n",
              "      <td>0.003019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>8216.151091</td>\n",
              "      <td>56.906177</td>\n",
              "      <td>328.655434</td>\n",
              "      <td>0.007621</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>178.102997</td>\n",
              "      <td>1.157010</td>\n",
              "      <td>0.434829</td>\n",
              "      <td>0.000087</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>602.625000</td>\n",
              "      <td>3.852950</td>\n",
              "      <td>13.025200</td>\n",
              "      <td>0.000225</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>4334.680176</td>\n",
              "      <td>43.928642</td>\n",
              "      <td>182.425018</td>\n",
              "      <td>0.002079</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>8827.764648</td>\n",
              "      <td>69.643700</td>\n",
              "      <td>335.260071</td>\n",
              "      <td>0.002909</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>61243.085938</td>\n",
              "      <td>358.335999</td>\n",
              "      <td>1960.164795</td>\n",
              "      <td>0.078825</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                BTC          LTC          ETH         DOGE\n",
              "count   2337.000000  2337.000000  2113.000000  2337.000000\n",
              "mean    6273.547968    51.865113   265.078277     0.003019\n",
              "std     8216.151091    56.906177   328.655434     0.007621\n",
              "min      178.102997     1.157010     0.434829     0.000087\n",
              "25%      602.625000     3.852950    13.025200     0.000225\n",
              "50%     4334.680176    43.928642   182.425018     0.002079\n",
              "75%     8827.764648    69.643700   335.260071     0.002909\n",
              "max    61243.085938   358.335999  1960.164795     0.078825"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 612
        },
        "id": "gLSXqSshhVCj",
        "outputId": "ad283574-06aa-4ce2-f970-fa8010c16bb2"
      },
      "source": [
        "# Visualize and graph the cryptocurrencies prices\n",
        "my_crypto = CRYPTO\n",
        "plt.figure(figsize=(12.2, 4.5))\n",
        "for c in my_crypto.columns.values:\n",
        "  plt.plot(my_crypto[c], label = c)\n",
        "\n",
        "plt.title('Cryptocurrency Prices')\n",
        "plt.xlabel('Years')\n",
        "plt.ylabel('Crypto Price USD ($)')\n",
        "plt.legend(my_crypto.columns.values, loc = 'upperleft')\n",
        "plt.show()"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:10: MatplotlibDeprecationWarning: Unrecognized location 'upperleft'. Falling back on 'best'; valid locations are\n",
            "\tbest\n",
            "\tupper right\n",
            "\tupper left\n",
            "\tlower left\n",
            "\tlower right\n",
            "\tright\n",
            "\tcenter left\n",
            "\tcenter right\n",
            "\tlower center\n",
            "\tupper center\n",
            "\tcenter\n",
            "This will raise an exception in 3.3.\n",
            "  # Remove the CWD from sys.path while we load stuff.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 878.4x324 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eskqN_jKi5kx",
        "outputId": "9bdbc861-875d-4d73-87b2-ebf43fe0f73a"
      },
      "source": [
        "# Scale the data\n",
        "from sklearn import preprocessing\n",
        "min_max_scaler = preprocessing.MinMaxScaler(feature_range=(0,100))\n",
        "scaled = min_max_scaler.fit_transform(CRYPTO)\n",
        "# Show the data\n",
        "scaled"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[  0.22295265,   0.43172752,          nan,   0.12192334],\n",
              "       [  0.22423492,   0.42285525,          nan,   0.12573346],\n",
              "       [  0.16863839,   0.27329439,          nan,   0.10160279],\n",
              "       ...,\n",
              "       [ 93.59535383,  61.50204906,  90.40365861,  70.18466552],\n",
              "       [100.        ,  63.11157434,  98.18957863,  79.18032077],\n",
              "       [ 98.14802183,  60.87363363,  96.08763063,  74.80636196]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "lAN_4dGKjUsg",
        "outputId": "6f167d81-3ae2-42b8-9a83-41406974448d"
      },
      "source": [
        "# Convert the scaled data into a data frame\n",
        "CRYPTO_scale = pd.DataFrame(scaled, columns = CRYPTO.columns)\n",
        "# Set the date as the index \n",
        "CRYPTO_scale = CRYPTO_scale.set_index(pd.DatetimeIndex(CRYPTO.index))\n",
        "CRYPTO_scale"
      ],
      "execution_count": 65,
      "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>BTC</th>\n",
              "      <th>LTC</th>\n",
              "      <th>ETH</th>\n",
              "      <th>DOGE</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2015-01-01</th>\n",
              "      <td>0.222953</td>\n",
              "      <td>0.431728</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.121923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-02</th>\n",
              "      <td>0.224235</td>\n",
              "      <td>0.422855</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.125733</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-03</th>\n",
              "      <td>0.168638</td>\n",
              "      <td>0.273294</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.101603</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-04</th>\n",
              "      <td>0.140984</td>\n",
              "      <td>0.223885</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.090172</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-05</th>\n",
              "      <td>0.157817</td>\n",
              "      <td>0.259021</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.093983</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-10</th>\n",
              "      <td>91.427927</td>\n",
              "      <td>55.815112</td>\n",
              "      <td>91.784657</td>\n",
              "      <td>71.016537</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-11</th>\n",
              "      <td>94.369990</td>\n",
              "      <td>56.020464</td>\n",
              "      <td>93.163862</td>\n",
              "      <td>70.907316</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-12</th>\n",
              "      <td>93.595354</td>\n",
              "      <td>61.502049</td>\n",
              "      <td>90.403659</td>\n",
              "      <td>70.184666</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-13</th>\n",
              "      <td>100.000000</td>\n",
              "      <td>63.111574</td>\n",
              "      <td>98.189579</td>\n",
              "      <td>79.180321</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-15</th>\n",
              "      <td>98.148022</td>\n",
              "      <td>60.873634</td>\n",
              "      <td>96.087631</td>\n",
              "      <td>74.806362</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2337 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                   BTC        LTC        ETH       DOGE\n",
              "Date                                                   \n",
              "2015-01-01    0.222953   0.431728        NaN   0.121923\n",
              "2015-01-02    0.224235   0.422855        NaN   0.125733\n",
              "2015-01-03    0.168638   0.273294        NaN   0.101603\n",
              "2015-01-04    0.140984   0.223885        NaN   0.090172\n",
              "2015-01-05    0.157817   0.259021        NaN   0.093983\n",
              "...                ...        ...        ...        ...\n",
              "2021-03-10   91.427927  55.815112  91.784657  71.016537\n",
              "2021-03-11   94.369990  56.020464  93.163862  70.907316\n",
              "2021-03-12   93.595354  61.502049  90.403659  70.184666\n",
              "2021-03-13  100.000000  63.111574  98.189579  79.180321\n",
              "2021-03-15   98.148022  60.873634  96.087631  74.806362\n",
              "\n",
              "[2337 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 612
        },
        "id": "4dyy2InJjyf_",
        "outputId": "de98913e-c94d-40ec-dc8a-37a2a37b4ccb"
      },
      "source": [
        "# Visualize and graph the cryptocurrencies prices\n",
        "my_crypto = CRYPTO_scale\n",
        "plt.figure(figsize=(12.2, 4.5))\n",
        "for c in my_crypto.columns.values:\n",
        "  plt.plot(my_crypto[c], label = c)\n",
        "\n",
        "plt.title('Cryptocurrency Scaled Prices: BTC, LTC, ETH, DOGE')\n",
        "plt.xlabel('Years')\n",
        "plt.ylabel('Individual Cryptos Scaled Price')\n",
        "plt.legend(my_crypto.columns.values, loc = 'upperleft')\n",
        "plt.show()"
      ],
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:10: MatplotlibDeprecationWarning: Unrecognized location 'upperleft'. Falling back on 'best'; valid locations are\n",
            "\tbest\n",
            "\tupper right\n",
            "\tupper left\n",
            "\tlower left\n",
            "\tlower right\n",
            "\tright\n",
            "\tcenter left\n",
            "\tcenter right\n",
            "\tlower center\n",
            "\tupper center\n",
            "\tcenter\n",
            "This will raise an exception in 3.3.\n",
            "  # Remove the CWD from sys.path while we load stuff.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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uWCxWdW0T+nJuSDl06BClp6erJehCiY+zszNlZmbS1atXBc/TqFEjIlLvxqJ8Do4YMUKjfvv27fX6EiX0/FB+qZ89ezZt3LiREhMTiYjo/PnzqgRHn9eoUOJz+PBhwdetUNm3bx8RkdZuslevXqWsrCxV0ql8Do8cOVKv+1utWjWqU6cOOTg4GPwYCXn69CmNGTMm39e3rsTn2LFjREQ6uzYasyjpU1dX4lOhQgXVufL+UGCKoqs7spKupMaQxEdfhb1PhnQXi46OJiIiLy8vAkADBw4kIqKQkBC9bks5Zk95/A8//EBERDt37hSsP378eI1EJneCm/uHEG24GxyX3IW7ujEmIDIyEvHx8YL71qxZg0mTJmHUqFHYt28fgHdTFn/++ed4+vQpjh8/Lnjc2bNnNbYFBwdDoVCgSZMmesfWtGlTAEBgYKDGvri4ONy+fRstW7ZE7dq1ce/ePdV0yadOnTL52ib5dbUR2t+2bVsAQOPGjeHn56exv06dOgCAevXq4cSJE2r7rly5olFf2aXI2dlZtc3LywsSiQTnzp3LtysMAGzduhULFy7EyJEjsXTpUgCAWCzGiBEjkJqaiq1bt+Z7DqX//ve/WLx4MXr06IFWrVqhadOmaNmyJYYNG4Zhw4bBz88Pc+bMAfBuZiQnJydcuXIFz58/1+v8H330EUaPHo3mzZujfPnyGtO9li9fHjExMVqPb9GiBaysrKBQKAQff+X56tWrp9qmfA4KPafPnz+PrKwsvWLP67vvvlP9PyUlBQ8ePMC+ffuwfPlyjS4uul6jQpSvg7zPISFt27ZFVlYW+vfvj/79+2vsl8lkkEqlqF27Nq5du4bDhw9jwYIFWLVqFXr27Im//voLISEhuH37tuBrLne3N0NVr14dT58+VcXx/vvvY+bMmVi9ejXatGmj6nbETGvTpk0a3T+N7cyZM+jcubPW/aZ+PxeireupqUyYMAHvv/++2rbQ0FCNmeUiIyNRo0aNIomJWTZOfFiJFB0djfr166Nq1aoFOl7XF8WIiAj89ddf6NmzJ95//308fvwYw4YNg52dHX7++WetHwixsbEa2zIyMpCcnAxHR0e9Y1PW1RajcqpQJycntX+V4xFMSdfjpm1/uXLlAAAjRozQeay9vb3GNqFxScovyBKJRLXN0McgNTUV27Ztw5gxY/Dhhx/i9OnT+Oijj+Du7o7169cjOTlZr/MoJSUlYc+ePdizZw8AoEyZMpg6dSp++uknzJ49G4cOHcLNmzcNjnPChAn49ddf8fr1awQEBODZs2dIS0sDEaFv377w9PTMdw0c5ePfvHlzNG/eXGu93I+/8jko9JxWKBRqY6sMkftLfX7ye67l5eTkhKSkJL0S33LlysHKykrnmAXg38fk2bNn8PLygp+fH3r27KkasxcTE4OVK1di4cKFUCgUBsWrj4yMDNy9exeDBw+Gl5cXBg8ejJUrV+LixYsGn0v5vlHQ90xzef36NTIyMiCTyVC1alXBqZaZcchkMtUaTnFxcQD+fR1Wq1Yt3+NtbW1V7zcvX75UO75y5cqCx+ReasLf3x9ffvllwYJn7P/xAqasRDp37hyAd4vZFUR+v2b99ttvEIvFqkG1o0aNQlZWFjZs2KD1GFdXV41tMpkMDg4OSEpK0js2ZV03NzfB/ZUqVVKrp0wOqlSpotf5FQoFpFLh30SUX8yNSRln06ZNIRKJtBZlq0hBGPoYAO+uMfDvZAaGTGqQn7S0NMycORP//PMPAKBLly4GxymRSDBr1ixER0ejQYMGGDRoEKZMmYJZs2Zh9uzZgkmJEOXjv2LFCp2P/3vvvadxjNBzWiwWq77cmJKhvzgnJibC0dERdnZ2+dZNSkpCcnKyzsdDJBKpTX7x4MEDeHt7o3z58vD09MTEiRPx9u1bzJ8/X3AiFGPKzs7GtWvXAEBtIVNDFPY901xycnJU62BZWuyWpn379rCyskJ0dDSePXsGALh8+TLkcjmqVKmi1iospFOnTpBKpYiMjFT9uKN83jVv3hxly5Y17R1gDJz4sBLK398fmZmZGDBgABo0aKCzrrW1tcHnP378OCIiIvDll1+ic+fOaNiwIQ4dOqTzV+jcK6MrdejQAWKxGNevX1dtE2qxyE35BUeoC0SFChXQsGFDpKam4sGDBwCg+lLQvXv3fFfeBoA3b97A1dVVMPnx8vLK93hDhYSEAHj3oWoqly5dQk5ODtq1a6fXF18AuHv3LoKDg9GnTx80b94cvXr1wpUrV3D16lWjxZWSkgLg3+4jYWFhePPmDRo0aJDvL+/ly5eHs7MzLly4oPG8s7OzU3VHy8/FixeRk5Nj0OOvfA4KPafbtm2r0d2uOFC+Dnr16pVv3ZCQEDg4OAgulJgfhUKBmzdvYtmyZarbUrYAmZKya6dYXLCP9X379iEhIQGtW7dG9+7dddaVSCR6vZcUFeUsmpMnT8534dqCvN+zd8+rGTNmAAC2b9+u2i6Xy1V/z5w5U+vxIpFIdbxyVlHgXQ+Kv//+G2XKlMEPP/xgitAZ02D2gUZcuJiiKBcwjYyM1LpIZKdOnejChQuqvw1ZPPTHH38kIlIt3Pbhhx8K1ss9q1vuGaJyz+r2xRdfqLbb2dlRTk6O1gGZrVq1IqJ3A+TzzuK0ceNGIiJatWqV2vZz584RkfCsbg4ODmoD/pXrpuSdPKF79+6UnZ1NRNonN9D2WOna7+zsTAkJCRQfH691odm2bduqrXeUex0fofpC13Dbtm1ERLR27VqNQeA2NjZqs7opy+eff652jQ2dJXDy5MmC6+ko75Ny0oPmzZurts+bN4+I3s3qlnfNEYlEoprVTSQSUWpqKkVERKhdP6lUqpqhi0h9ILu2Wd38/f2J6N1aUUKzpFWpUoXq1Kmj+rtNmzZE9G5WNxcXF9V2Y8/qJlT0eY0WZFa3ypUrq/7fqVMnIiIKDQ0VXAxTJpNR27ZtVX83bdpUcEFP5UQP586dU9temMkNhB6j5s2bq2bbElr3St/HWbkeTkJCgtpkIrlLkyZNNGa7U74eDVnbRkmfuoYsYHr69GmN2S6Vr53hw4drxKh8TDp27KhXLJawjk/u17M+MemzgKlywo+8r3kA5OrqSi9evCAiop9//lljxtMyZcqoZhy9ceMG2draqu2vV6+eagHTKVOmCC5gKhKJVIuo5p60iNfx4WJo4TE+rMT6+eefIZVK4efnh4sXL+LChQu4fPkyUlJSULFiRbRr1w7169fHw4cPC3T+DRs2YNasWahatSoePnyI06dP66wfFhaGu3fvYt++fcjOzkbfvn1Rs2ZNHDx4EDt37lTVe/v2LUJCQtC2bVscPnwY165dQ1ZWFoKDg/HPP/8gNDQUCxYswPTp03Hnzh3s3bsXSUlJ6NatG5o1a4Zbt25h2rRparc9ZMgQnDlzBnPnzkXfvn0RFBQEAKhZsyZ69OiBNm3aqNaZWbFiBXx9fbFq1Sp06dIFERERqF+/Prp3744DBw5g4MCBBXq8tHnz5g0GDBiAgwcPIiQkBKdPn8bdu3eRlZWFatWqoWXLlvDw8FCN0SiocePGoUGDBhg5ciQ6duyIkydPQi6Xo3r16ujevTt8fX1x6NAhtWP279+PmJgYVK1aFUlJSWrXSR+DBw/GkiVLcP/+fYSGhiI6Ohp2dnZo0KABunTpArFYjGXLlqlN0jB79my0aNECH3/8MR4/fowjR44gKSkJVatWRdeuXbFo0SL8+uuvICKsWLEC06ZNw+3bt3Ho0CFYW1ujc+fOcHFxQWBgoKoLXX7Gjx+PWrVqYdasWRg6dCiCg4MRExMDNzc31KlTB61atcLEiRNVrYgXLlzAihUrMGHCBNy5cwf79u1TreOTmJio6r9fnAQEBGDOnDmYOXMm7t27h0OHDuHp06eoWLEiWrVqhfDwcFXLzJkzZzB58mQsWrQIjx49wvHjx/HkyRPY2trC3d0dHTp0QGRkpGpSkqFDh2L06NE4f/48Hj9+jISEBHh4eKBPnz7Izs7WWJ9ky5YtBV7H57vvvlN1ibSxscH777+P3r17w8rKCitXrlRrPTbUjh07YGtri1WrVuH48eO4efMmzp07hzdv3sDFxQUtW7ZEs2bN8ObNG7UJLJStTAWZ1MLf31/rvsmTJ+s1XoyIMHDgQGzevBn9+/fHkydPcPr0ady7dw/Z2dlwd3dHly5dUKlSJY011goau6enp+BkIEoLFy5ERkaGQec0loLeJycnJ9V9kkgkcHJyQsOGDdG2bVtYW1sjJCQEgwcP1lgvKzY2Ft26dcPhw4cxdepUeHt74+TJk4iPj0flypXx0UcfwdXVFVeuXEHv3r2Rnp6udvz9+/fRo0cP7N27F4sWLcL333+PwMBAPHv2DBKJBG5ubujUqROqVauGp0+fIjIyUmfsQnbt2qV6/2LM7NkXFy6mLHXq1KFff/2Vbt26RYmJiZSZmUkxMTH0119/0ejRo9V+fTKkxQcA7dmzh4iIJk2apLWO8hdFmUxGCxYsoIiICJLL5RQeHk4//fST4K9bNWrUoAMHDlB8fLyqlSXvr3effvopnTlzhpKSkkgul9P9+/dp7ty5guu6ACAXFxdasGAB3b9/n9LT0ykxMZFu3bpFixYt0vi1ulWrVnT69GlKTU2l5ORkOn36NLVr1y7f6azzewx0PZbVqlWj5cuXU1hYGKWlpVFycjI9ePCAdu7cSYMGDVJrpSlIiw/wbh2JqVOn0vXr11XTft+/f59WrVqldfroxYsXE5Hm2kj6lA8++ICmTZtGAQEBFB4eTm/fvqX09HSKiIigvXv3Us+ePQWPk0gk9M0331BISAglJyfT27dv6fHjx7Rx40a1FiSJRELff/893b17l9LS0ig6Opq2bNlC7u7uql999WnxAd61FI0aNYqCg4PpzZs3JJfL6dmzZ3TmzBmaMmWK4K/oY8eOpXv37pFcLqcXL17QqlWryMHBQeeU6LqeH6Zs8VGWHj160LFjx+jVq1eUkZFBUVFRdOTIEfroo4806rZs2ZJ27NhBUVFRlJGRQa9evaJbt27RqlWrqH379qp6LVq0oNWrV9P169fp1atXlJ6eTuHh4bRjxw7VtL1C8RVkHZ/csrOzKS4ujv766y8aOHCg0R7nKlWq0IIFC+jy5cv0+vVryszMpFevXtHZs2dp8uTJGq2jf/75JxERtWvXTu/7ow9lnPq2gACgrl270tatWzVeb7t27dKYTt/Z2ZlycnIoLCyMxGKxXnHrM501EQm2AOY+3pQtPtevX6fMzEyqUaOGXvdJaEpouVxOcXFxdOnSJVqzZg117do13+nSbWxsaMKECXTmzBnV6ys2Npb++usv+vLLLwVbk3MXW1tbGjNmDJ08eZKio6MpIyODUlNT6fHjx7Rnzx7y9vbWmLJcn+msiUjn2kpcSl0xewBcuFhsUSYReZv+cxd9vvRzKb7l5MmTRETUoEEDs8fChUtxKyKRiBISEtTWIrOU0qdPHyIi8vb2NnssxirKZO6PP/4weyxcuBTTYvYAuHCxyKL80Ny4caPOepz4WG7x9PQkIqLAwECzx8KFS3EsH3zwARGR1vF5xbksW7aM7t69q9fCzpZS+vTpQ3K5nNzd3c0eCxcuxbGI/v8/jDE9/fjjj3BxccGIESNga2uLRo0a6Vw7IiIiAtWrVy9WsyAx3UaPHo3KlSvD19cXlStXRseOHVXTrjLGGGPMcpk9++LCxZIKEVFmZibdvHlT68xHuQu3+FheiYiIoOzsbHr48CENGzbM7PFw4cKFCxcuXApfuMWHMcYYY4wxVuKVmumsycBVvhljjDHGGGOWSWiIQcGWeGaMMcYYY4wxC8KJD2OMMcYYY6zEKzVd3XIrDrNrEVGxiIMVDF8/y8bXz7Lx9bNsfP0sG18/y1bSr19+Q1u4xYcxxhhjjDFW4hmU+FhZWWH48OHYtm0bTp06BU9PTwCAo6Mjhg4diipVqpgkSMYYY4wxxhgrDL27urm4uCAwMBCNGjVCbGwsKlasCGdnZwBAcnIy5s6diwYNGmDq1KkmC5YxxhhjjDHGCkLvFp9FixbBw8MD7dq1Q6NGjdT6BxIR9u/fj169epkkSMYYY4wxxhgrDGBJnfUAACAASURBVL1bfD755BOsWLECISEhcHFx0dj/6NEjfPXVV0YNrqiVK1cOnTp1AhGZfN2fAwcOoF+/fia9jeJGJBJBJBLhzJkzSEhIMHc4jDHGGGOslCF9SlpaGo0YMYIAkIuLC+Xk5FDnzp1V+7/99ltKSUnR61zK0r59ezp06BA9f/6ciIh8fHw06vj5+dGLFy8oLS2NgoKCqH79+mr7nZycaMuWLZSYmEiJiYm0ZcsWcnR01DhPbkKxlCtXjoYMGUJSqdSg+1DQ0qxZsyK5neJWpFIpDRkyhMqVK2f2WApTtD2PuFhG4etn2YWvn2UXvn6WXfj6WXYp6dcvv+/7end1e/ToEZo3b651f48ePXDnzh19TwcAsLe3x507d/Dtt98iLS1NY/+UKVMwadIkjB8/Hl5eXoiLi0NAQADs7e1VdXbs2IGmTZuiZ8+e6NmzJ5o2bYqtW7caFAcAdOrUCbt27UJ2drbBxzL9ZWdnY9euXejcubO5Q2GMWYCqVcvDzs7G3GEwxlipU9GuDBxtZAAAO7uyKF/eVbCefTln2Dk5FmVohaJXBjVu3DiSy+Xk7e1N5cuXp5ycHOrUqRPZ2trSzz//TNnZ2YItNvqWlJQUjeNfvnxJ06dPV/1tY2NDycnJNHLkSAJAdevWJSKiNm3aqOq0bduWiIhq165tUAbYv3//Is1IS2uLj7keb2OXkv6LSUkvfP2KfxGJRHTw0AxS0BF6/mITNWpUna9fCSl8/Sy78PWz7KLP9bOztqKjQwdQ5uzJFDt1HI3o1pOOHLxCQQEPaMK4n9Tqdhk+jH65HUILr5yhph93Lxb3zygtPqtWrYK/vz+2bt2Kx48fAwB2796NpKQkTJkyBb/99hs2b96s7+nyVaNGDVSqVAmnTp1SbZPL5QgODkabNm0AAK1bt0ZKSgouXLigqnP+/Hmkpqaq6ujL1GN6mDp+vBljurRv3wC9e7cEAFSuXA5Lllr2GFLGGLMUnzeqi+7v1wAAONvaYHrndrC3KwsA6NdnCNzcqgIAJFZW6DrSBwBgJZNh8MLZ5gnYAHpPbgAA33zzDbZs2YLPPvsMtWrVglgsRnh4OHbv3o1z584ZNTA3NzcAQGxsrNr22NhY1XpBbm5uiI+P1zg2Li5OdbwQoS/dBw4cwLNnzwoTssGaNWtWpLdXnAwZMgQHDhwwdxiFwsmbZePrV7wRbgH49z25e/cmateMr59l4+tn2fj6Wbb8rl/27k2gB3dVf1fNSsTTXPuvXbmDSlUc8TYrE2sfXFM7NiM7G9YSiTHDNSqDEh8ACAkJQUhIiCliKTK5p+JW6tevH65evVpkMTRr1qxIb6+42bZtGwYMGGDuMAqMiASfR8wy8PUr/pYu/QoTJ6nPfKm8Znz9LBtfP8vG18+y6XP9dn/eG/3q19a6f+2aTZg97zs4VKwAv9OH1fbVaFAPLx88MkqsBZFfUqd3V7e6deti8ODBWvd7e3ujTp06+keWj5iYGACAq6v6QCpXV1fVvpiYGFSoUEHj2IoVK6rqlHT+/v6q6beJCPHx8Thy5Ajq1KkDHx8ftX1CpWPHjgCA4cOH48KFC0hOTkZSUhKuXr2KH374AWXLljXzPWSMlUapqXJzh8AYY6WSIp/koVPHd+t2SqQS2GVKUTuhLN5/XRY22WKUd69aFCEWmN6Jz88//4wvvvhC6/5BgwZhwYIFRgkKACIiIhAdHY1u3bqptslkMrRv3141pickJARly5ZF69atVXVat24Ne3t7tXE/JV1AQADc3Nzg5uaG7t27w9bWFn/++Sd2796t2u7m5oaAgACNbRcuXMDWrVuxcuVKHD9+HB9++CEaN26Mn376CZ07d0b//v3NffcYY6XQ27ec+DDGmDnkl/goSaRSVE+0g32WFRwyrVAtyQ4ulSuZOLrC0burW6tWrbB06VKt+4OCgjB58mSDbtzOzg7vv/8+AEAsFsPd3R0ffPABXr9+jaioKCxfvhzTp09HWFgYHj58iBkzZiA1NRU7duwAAISFheHEiRNYu3YtRo4cCQBYu3Ytjhw5gocPHxoUiyXLyMhQjYWKjY3FsmXLcPToUdXfueulp6erbRs4cCCGDBmC/v37488//1Rtf/r0KY4fPw5HR8uZnpAxVnJwiw9jjJmHvkO4nJ3LQab4dzxP2SwrBG/dbaKojEPvxMfJyQlv377Vul8ul8PFxcWgG2/evDnOnDmj+nvOnDmYM2cONm3aBF9fXyxevBi2trZYvXo1nJ2dcfHiRXTv3h2pqamqY7y9vbFy5Ur89ddfAIDDhw9j3LhxBsWhyy+3TTeeyVtg26RGrQW26s/e3h6ff/45bt26Bbk8/y8OgwcPxoMHD9SSntySkpIKFQ9jjBWEXJ5p7hAYY6xU0rfFR2plrbGtfLmKiIuPNnZIRqN34hMREYEOHTpgzZo1gvs7dOhg8KxoZ8+ezXeA1ezZszF7tvbp8RITEzF06FCDbrek6dmzJ1JSUgC8S3yePXuGjz76SK9ja9WqhbCwMFOGxxhjBhOLNXtii8ViKBQKM0TDGGOlR36Jz4sX7+Z4s7KWaexzda1crBMfvcf4bN++HZ999hm+//57SHJNUyeRSDBx4kQMHDhQ1QWNFa3g4GB4enrC09MTXl5eOH36NE6dOoWqVfMfYMYzszDGiiOJRPPjSSrV+yOLMcZYAeWX+CjzACtrzRYf5Ro/xZXeLT6LFi1C+/btsXTpUkyfPl01hqZ27dpwcXHB6dOnjTq5AdNfWloawsPDVX+PGDECSUlJGDlyJGbOnKnz2IcPH6JevXqmDpExxgwilPi8+7DNLvpgGGOsFMmvo5tE8i59sJJpJj4OZZ1MEJHx6J34ZGdno2fPnvDx8cGAAQNQs2ZNAO9mVtu3bx+2bt1aIhe0KuyYG21MuY4PEUGhUKBMmTL51t2xYwd2796Nfv36CY7zcXR05HE+jLEiJ5z4cIsPY4yZWn7f55UtPr27fqq2PTUrDfv/3GyyuIzB4AVMN2/ejM2bi/edKm1kMplqvSNnZ2eMGzcO9vb2OHLkSL7H7tmzB/369cP27duxYMECnDx5EnFxcahXrx7Gjx+PvXv38vVmjBU5TnwYY8w88u/qJkW1qjXQ2rO92vZsRY4pwzIKgxMfVvx069ZNtWBrcnIywsLCMHDgQJw9e1av47/44gt8/fXXGD58OH788UcoFAqEh4dj586d2L9/vylDZ4wxQcJjfCQCNRljjBlTvomPVIqBA74UOK74Tz6jNfHZsGEDiAgjR46EQqHAhg0b8j0ZEWHEiBFGDZDp5uvrC19fX73qfvLJJ1r3rVu3DuvWrTNWWIwxVijc4sMYY+ahT4uPvb2DxnaRBUxAozXx6dKlCxQKhWr60C5duuTb568kjvFhjDFW9DjxYYwx88jv27yVtTWsZTaa221tTROQEWlNfGrUqKHzb8YYY8xUuKsbY4yZR74tPmIxbAQSn/xTJvPT6+czmUyGoUOHwsvLy9TxMMYYY9ziwxhjZpJf4iOCCFKpZtuJKK34Lzeg16dIRkYG1q1bB09PT1PHwxhjjKktlP3vNk58GGPM1ITyHnFOVr7H2VkV/65uen+KPHjwAG5ubqaMhTHGGAPALT6MMWYuIpHmNte4B0UfiAno/Skyb948jBs3Dg0bNjRlPIwxxhiP8WGMMTMRQTPzqfzyjkYtS6T3Oj6dOnVCfHw8rl+/jgsXLiA8PBzp6elqdYgI48aNM3qQjDHGShdu8WGMMfMQC+Y06v3fhMb4WAK9ox49erTq/+3atUO7du006nDiwxhjzBg48WGMMfMQCfR1E+UZ+GNjU/zH8wjRO/ERGmjKGGOMmQInPowxZh76dGKztS1j8jhMQa9PEbFYDFdXV8hkMlPHwxhjjPEYH8YYMxOhFp+8Xd2EFjDNzs5/5jdzyzfxmT9/Pt68eYMXL14gOTkZBw4cgLOzc1HExvTg7++PI0eOAAA8PDxARDqLn58fAKBjx444cuQI4uPjkZaWhvv372PFihXw8PAw591hjDEA3OLDGGPmItajq5tMIPFZuHiqyWIyFp2fIhMmTMDUqVORmJiI/fv34/bt2+jTpw9WrFhRVPExA0RFRcHNzU1VZs+erbFt6dKlGDlyJE6fPo2EhAQMHDgQ9erVw/DhwyEWizFjxgxz3w3GGOPEhzHGzMRKYOIC6yz1Cc2srdR7gT1IforTQUdNGpcx6Bzj4+vri2vXrqF9+/aQy+UAgGXLlmHs2LEYM2YMUlJSiiRIph+FQoHY2FjV3ykpKcjJyVHbVqVKFaxYsQKrV6/Gt99+q9r+9OlTXLhwAY6OjkUaM2OMCRFKchwcLLNPOWOMWRJbm/zfa62srNT+vh/7yFThGJXOxKd27dqYNm2aKukBgN9//x0TJkzAe++9h5s3b5o8QHNT0JEivT2x6BOTnn/gwIGQyWRYuHCh4P6kpCST3j5jjOVn+PDu+Gp4d43tX4/sgWPHLpshIsYYKz2kEuH0QJyTDcX/7xOL1H+cysyUCx1S7OjsN2BjY4P4+Hi1ba9evQIAHudjoWrVqoWkpCRER0ebOxTGGNNgZ2eDFStHCu7r3btlEUfDGGOlj6Oj8Hd8sSJb6zFZmRmmCseo8u0wTXkGMzHLJjxTB2OMFQ8dOjSArS3PIMoYY+YgEolQv15j4X2k0HpchtwyEp981/FZsmQJfvrpJ9XfyvV8/P39kZaWplaXiNCwYUMjh8iM6eHDh3B0dESlSpW41YcxVuxkZmr/RfHq1cdFGAljjJU+1T1q5Z25WkWsyNF6nFyernVfcaIz8QkODhZs8Xn58qXJAipuTDXmplmzZrh69apJzq3Lvn37sHDhQkydOlVtcgMlR0dHHufDGDMbuVz7OhD37kUVYSSMMVY6ibRkPiLSlfikad1XnOhMfDp37lxUcbBCcHBwwAcffKC2LTExUbDu8+fP8f3332PVqlVwdHSEv78/IiIiULlyZXh7e8PGxgYjRwr3r2eMMVOTyzO17uPprBljzLRydIzjESuEu7oRCJlyy5jcIN+ubqz469ChA27cuKG2bd++fQgNDRWs//vvv+PBgweYNGkS9u/fDzs7Ozx9+hSnTp3CvHnziiJkxhgTpKurm1jMYxQZY8yUpBIrrfvEWlp8FCIgK0P7j1bFCSc+Fs7X1xe+vr5a9//yyy+C2wMDAxEYGGiqsBhjzOjEYm7xYYwxU5JKpRBpmdhMpGWMj0JEyM6yjMSHP0UYY4wVG7omnuQWH8YYM60yZeyhbXYDrS0+IGRbSIsPJz6MMcaKDV2tOjzGhzHGTGvwF6O07hNpG+MjAjLeWsbkBvwpwhhjrNjQtdYYt/gwxphpNW/W1uDprBUiwlstk2oVN5z4MMYYKzZ0d3XjjyzGGDM1bdNZ65rc4G1isilDMhr+FGGMMVZscIsPY4yZm2GTGxAIaYmWsQak1lndTp8+bfDJiAhdu3YtVECMMcZKL12Jj0QihlgsBuEhQkKX4u+AG5g1awdycoT7nTPGGDMeMWkf4yNPTS3iaApGa+IjFotBeaazq1atGt577z0kJiYiIiICAFCjRg04OTkhPDwcUVG8qjZjjLGCy6+rW48eTQA8RMuWddCyZR1cuxaOP/8MKbL4GGOsxNMyxkdXi09WRoYJAzIerYlP586d1f5u27YtDh06hK+++gpbt26F4v9ndhCLxfDx8cGSJUvw5ZdfmjRYxhhjJVt+Xd1++d8ItW07d/0AG1l/U4fFGGOlhqFjfEgEZMktPPHJa+nSpdi4cSM2b96stl2hUMDf3x/169fH//73P7Rq1croQTLGGCsddI3jEYtFcHa2U9tmba19lXHGGGMFoW2Mj3BXN4VCodFLrLjSe3KDxo0b4+nTp1r3R0ZGolGjRkYJSkksFmPOnDl48uQJ0tPT8eTJE8ydOxcSiUStnp+fH168eIG0tDQEBQWhfv36Ro2DMcZY0dA9xkeC1FR5EUbDGGOlkIHTWedo2V4c6Z34vHz5Ep999plG0gG8+zAaNGgQXr58adTgfvzxR4wdOxYTJkxA3bp18e2332Ls2LGYNm2aqs6UKVMwadIkjB8/Hl5eXoiLi0NAQADs7e2NGktx5e/vDyLSKCEhIYLbcxcfHx907NgRRIRy5cppnPv27dvw8/Mzw71ijJVWuhIfW1trTnwYY8xMtHV1s6TER++ubosXL8aaNWsQGhqKdevW4fHjxwCAWrVq4euvv4anpyfGjBlj1ODatGmDI0eO4OjRowCAp0+f4vDhw2jZsqWqznfffYeFCxfiwIEDAAAfHx/ExcXB29sbf/zxh1HjKa4CAgIwdOhQtW0KhUJtzYsFCxagbt266N//377wSUlJao8lY4yZm67Ep0WL2jh//l4RRsMYY6VLSkqS1jE+2iY3UGiZ7a040jvxWbduHXJycjB//nz8/vvvqr58IpEI8fHxGD16NNavX2/U4M6dO4cxY8agTp06ePDgAerVq4cuXbrg559/BvBuRrlKlSrh1KlTqmPkcjmCg4PRpk2bUpP4ZGRkIDY2VmedtLQ0ZGZm5luPMcbMSdesbgDQti13ZWaMMVPJzMyAtr5uWqezNmE8xqZ34gNANbmBl5cX3N3dAbxrhbly5QpycozfzLVo0SKULVsW9+7dQ05ODqysrDBv3jz8/vvvAAA3NzcA0PgyHxsbiypVqhglhqCAB0Y5j746d6tTpLfHGGPFia4WH8YYY6YllVoZNMZHnJON9+IfY+gHDbD91j0oivkkBwYlPgCQk5OD0NBQhIaGmiIeNZ9//jmGDRsGb29v3L17F56envj1118RERGBjRs3Fvi8QjNPHDhwAM+ePStMuEbRrFkzg+qXK1cOPXv2xNu3b9W27927FytXrlT9XbFiRZQtW1bj/HXqvEu0hO67TCZD5cqVDY5JH0OGDFF1T7RUljKDCRPG1694IiQAMGxdHr6WloevmWXj62fZdF2/f848hui58D6RwBifug8C4Jz4HBv694L/gjmQfFS8lxcwKPFxcXHB999/j86dO6NChQrw8fFBaGgoXFxcMHbsWOzduxdhYWFGC27JkiVYunQpdu/eDQC4c+cOPDw8MG3aNGzcuBExMTEAAFdXV7XFU11dXVX7hAj9otivXz9cvXrVaLEXlKExJCQkIDg4GCNHjlTbnpiYiISEBNXfcXFxqFixosb5lZNAdOzYEW/evFHbd/z4cbx8+dIkj8u2bdswYMAAo5+3qBAR/zJtwfj6FV+dOjVCYNACg47ha2lZ+PVn2fj6Wbb8rt/xw9ehtatbrumsrTLT0fDuUZRJT1RtU1wJgfRj8363yy8p1zvx8fDwwLlz51CuXDncvn0bNWvWhK2tLQDg9evXGDRoECpWrIjx48cXLuJcypQpo9GFLicnRzVoPyIiAtHR0ejWrRuuXLkC4F0rRfv27fHDDz8YLY7iLi0tDeHh4YU6R0REhFqiBACZmZmFOidjjBmKv1Axxpj5SCQ6UoNcY3xcY++rJT1KIhFQnBsEDZrVTSQSoX79+khJSUFcXJza/kOHDqFv375GDe7IkSOYOnUqIiIicPfuXTRp0gQTJ07Eli1bVHWWL1+O6dOnIywsDA8fPsSMGTOQmpqKHTt2GCUGU425adasWbFoYWKMseKE8x7GGDMfiUQCkZbMJfd2jyjh77D21tZIySi+P5zrnfh07doVS5YsQWRkJFxcXDT2R0REoGrVqkYNbvz48Zg7dy5+++03VKxYEdHR0Vi3bh3mzJmjqrN48WLY2tpi9erVcHZ2xsWLF9G9e3ekpqYaNZbiTCaTwdXVVW1bTk4OXr16ZaaIGGOsYLjFhzHGzEMkEgmu16nar8e01Y4yWclIfGxsbDTGgOTm5OQEhcK483inpqbi+++/x/fff6+z3uzZszF79myj3rYl6datm8aYpufPn6NatWpmiogxxgqGEx/GGDOPf7u5aWvxyf97vpONDM+TU4wYlXHpnfjcuXMHHTt2xNq1awX39+3bF9euXTNaYEw/vr6+8PX1zbeetrFXZ8+e1fpFo1GjRoWKjTHGDMWJD2OMmYdUqjst0CfxcbCRGSsck9A78Vm+fDm2bt2KO3fuYM+ePQDe9QOsU6cOZs6ciZYtWxp9jA9jjLHShfMexhgzD4n4/7u5aRvjo8dSpY6yEpL47Ny5E+7u7pgzZ45qjM3JkycBAAqFAlOmTMHRo0dNEyVjjLFSQTlrJ2OMsaIlkVoBALT9/uSYHANplhzZVjZaz+FoY22CyIzHoHV8Fi1ahO3bt2PAgAGoVasWxGIxwsPDsX//fkRGRpooRMYYY6UFt/gwxph5/DuxgfaWnfciLuBh7S5a95eYrm5Kz58/x6+//mqKWBhjjJVyPMaHMcbMQ5X46OjRVuFVuM7Ep7h3deM+BYwxxoqNgiQ+nCwxxljhSfPp6qaP5GI8lTWgo8XnyZMnIAOXXiUivP/++4UOijHGWOlUkBxGIhEjOzvH+MEwxlgpok9XN11Cnr3A2ss3jBeQCWhNfM6ePWtw4sMYY4wVRkFab6RSCSc+jDFWSFLlOj4F/P6fbeT1PE1Ba+Kjz9owjDHGmDEVJPGRSLjXNmOMFZZyAdOCdnXLsYAGE/60YIwxVmyIxQVr8WGMMVY4/3Z1y4eWBMeiW3y0HiCVom7dunB0dBRcb+Gff/4xSmCMMcZKn7wtPn/+GYJLFx/i54U+Wo85cXIWen8yF69eJZs6PMYYK7GkUmVaoLvlRkQK5IglkCjUuxhnK0pYi8/8+fORkJCAGzdu4OzZswgKCtIorGj5+/uDiEBEyMzMRGxsLAIDAzFmzJhcT+B36tSpgx07diAmJgZyuRxPnjzB0qVL4eTkpHHeGjVqYN26dYiMjIRcLseLFy8QGBiIYcOGwcrKSlVPedt5y6hRo0x+3xljJU/exIeIEB+fpPOYVq3qYty4/5gyLMYYK/FUXd3y6bJWLeoaSKTZOpRjAS0+eic+P/74I6ZOnYqdO3di2LBhEIlEmDp1KkaPHo07d+7gxo0b6N69uyljZVoEBATAzc0N1atXR/fu3XHkyBHMnj0b//zzD8qUKQMA8PLywuXLl1G2bFn07dsXtWrVwvjx49GrVy9cuHABjo6OqvM1a9YM169fR8OGDTF+/Hg0atQIHTp0wG+//QYfHx94eXmp3f6IESPg5uamVjZv3lykjwFjrGTIO8SHCMjKyhasm/bWCk+fuOBVvB1m+n1RBNExxljJJdFzcoNqL25AmqM5bbUlJD56d3X76quvsH//fowePRouLi4AgKtXryIoKAhbtmzBxYsX0bFjRwQGBposWCYsIyMDsbGxAICXL1/i5s2bOHXqFK5du4YpU6Zg1qxZ2LhxIx4+fIjevXurZuuLiorCtWvX8PjxY8yfPx/jxo0DAGzevBmPHj1CmzZt1Gb2Cw8Px759+zRuPzExUXX7jDFWGEItPpmZmolPVpYY1y65Iyfn3a+O9Rq+LJL4GGOspKlcqRqm/bgYDRs0BQCICjidtSV0ddM78XF3d8f//vc/AEBOzrs+fTY2NgCAzMxMbNu2DePHj4efn58JwjSfzNmTTXfy3p01Nln7LTXKqe/evYuTJ09iwIABOHjwIBo2bAhvb2+NKcqjo6Oxfft2fPHFFxg3bhw8PT3RoEEDDBo0iKczZ4wVOaHEJytLc6rqmJeOqqQHAO7fqWzy2BhjrKSpVrUGtvifzLO1YN//apVzLnxAJqZ3V7c3b96oEp3k5GRkZmaiWrVqqv1yuRzly5c3foSswO7du4f33nsPtWvXBgDcv39faz0XFxdUqFBBVffBgweq/Q4ODkhJSVGVadOmqR2/detWtf0pKSlo2LChie4VY6wkyzurm0JBgl3d0lKtiyokxhgrkaytZVi6yF9je35jfLRp5FahsCGZnN4tPnfu3IGnpyeAd7/AXbp0Cd988w2OHTsGsViMUaNGISwszGSBMsOJRCKjtNqkpKSorv3x48dhba3+heOHH37AyZPqvxY8e/as0LfLGCt99G3xkVrxgqWMMVYYjRs1R8WKlTR3FPC749vMrEJGZHp6Jz7bt2/HmDFjIJPJkJGRgenTpyMgIABPnz4FAGRlZaFPnz4mC5QZrn79+njy5AkePnyo+vvGjRuC9V6/fo34+HhV3bp166rqEhHCw8MBvOvWmFdMTIxqP2OMFYbwGB/ND1OptPgPomWMseLMwUFzVl+g4GN8ZgedL0w4RULvxGfz5s1qM3WdP38e9evXR+/evZGTk4O//voLjx8/NkmQ5mSsMTd5NWvWDFevXjXJuQGgQYMG6NmzJ+bNm4cbN27g3r17mDRpEnbu3KnWClSpUiUMHjwY/v7vmjqVdadMmYI9e/ZAYQEzdDDGSg6hWd3S0jI06kkk/N7EGGOFoZrFLY+CdHW79jIG667cLGxIJmfwAqa5RUZGYsWKFcaKhRWQTCaDq6srxGIxKlSogA8//BDTp0/H1atXsXTpu8Ttq6++wt9//41Dhw5hwYIFeP78ORo3bowlS5bg6dOnmDFjhup8X375Jf7++2+EhIRg/vz5uH//PiQSCdq2bYuqVauqJrdQcnJygqurq9q21NRUvH371vR3njFWogi1+Lx8+VqjntDHskQiRU6O8NTXjDHG1FlJrbTsMTzx8T1wwiK6uuk9uUGbNm0wdepUrft//PFHtGrVyihBMcN069YNMTExePbsGU6fPo3evXtj1qxZ6NChA9LS0gAAFy9eRIsWLfD27VscOnQI4eHhWL16NU6ePIk2bdogMTFRdb7Lly+jadOmuH37NlauXIk7d+4gNDQUPj4++O9//4vFixer3f769esRExOjVnQ9VxhjTBuhxCc6+o1GPSKRxjaZTGayuBhjrKSRSI3X4mMJa/gABrT4+Pn54c0bzQ8fpQ8++ACdOnVCr169jBIY04+vuvjssQAAIABJREFUry98fX31qnv//n188YV+i/yFh4djxIgR+dbL+yWFMcYKI+9binJWt8TEVDg52au2k0Ig8bG2QVoatzQzxpg+BFt8iGCdlW7wuRQWsgSK3i0+TZo0wYULF7TuDwkJQdOmTY0SFGOMsdJJLFb/WFKOScy7iKlCoMXH2ppbfBhjTF9CLT72b18V6Fw5FpL46N3iY2dnl+/UyGXLli10QIwxxkovockNACA7W31soVCLj7XMxlRhMcZYieHk5gqXqpVhZaW5Hlr1yIsFOqeltPjonfg8ePAAPXr0wMqVKwX39+rVq0TO6sYYY6zoCI3xAaC2lg8REPXURePYvGuMMcYYU/f8bTJ+PLwL1rY2sA1P0dgvzdacRVMfOQrLSHz07uq2fv169OrVC7/++iucnZ1V211cXLBixQp0794d69evN0mQjDHGSgeNcYP/n/jkbvGJjxXuXSCz5hYfxhjT5eqraFjbvnuvdKpYUWM/FXDsdg6VsMkNfvvtN3h6emLcuHEYO3YsYmNjAQCurq4QiUTYtGmTRU9tzYP0ixY/3owxIdpafHInPg/va35YA4CDA3e3ZowxXcJT3kCWLYZjhjXKZgqlAQX7flbiuroBwMiRI7F9+3Z8+umneO+99wC8m/1r3759CA4ONkmARUUkEkEqlSI7m9eAMDWpVKoxgJkxxgDtY3xyd3XLyZEIHuvs7KDz3LVqVUbt2lVw5sxtvH0rL1ScjDFmiaQ5ItRNcIREYIIYoCAr+LyTJM8seFBFyOAFTM+ePYuzZ8+aIhazOnPmDAYNGoRdu3Zx8mNCUqkUgwYNwokTJ8wdCmOsGMrb4qP4/7Uh8k5uIMQ513TXeXXu3BjHT8yCTGaFsLDn+KDxeGRl8Xs9Y6x0KZ8u05r0AABEhv8wnZqRCbmFfHc2OPFRcnFxQa9evVC5cmWEhYXh6NGj+c76VpwlJCTgxIkT6Nu3LxQKhcnvy5AhQ7Bt2zaT3kZxIxKJIBaLceLECSQkJJg7HMZYMSQW5+3q9u5fDw/h7m25OTjaCW6XSMQ4HThf9XfdulXx2WftsH37mQLHyRhjlshOsHvbv3TlRNrEpxm+7o+56Lz3gwYNwogRIzBo0CC8evXvvN4tWrTA0aNH4eLiApFIBCJCaGgounXrhvR0y7nzeSUkJGDfvn1FclsHDhzAgAEDiuS2GGPMUmgb4+Ps/G9rjlisgEKh+auklZUVHB2d4excHk+fPlYdu3z51xp1u3RpzIkPY6zUyRbn98O+4ZlPggUlPjrbsz7//HNYW1urJT0AsGXLFjg7O2PevHn45JNPsHbtWrRu3RqTJ082abCMMcZKNm2JT25iifAHt3u1eti2OQD+645i/pzfVds/+7y9Rl25PKuQkTLGmGURSyQgke7EpyD9nZKzs9R+nCrOdCY+np6eGpMWeHl5oVatWvjjjz8wa9YsHD9+HGPHjsWxY8e4BYMxxlihaJvcQL2O8Edz86a9YG/3bma31q0644PGLSCTWaFCBUeNunILGYjLGGPGIrW2hqggfdny0aVtfbx4uRmDBnUw+rmNTWfiU7FiRURERKht69GjB4gIO3fuVNseEBCAmjVrGj9CxhhjpYY+LT76fmy3atkJbm7OgvsyMrjFhzFWukitrWCbLTwrZqGkZsHGxhqLl/ga/9xGpjPxSUpKQtmy6usitG3bFjk5Obh69ara9pSUFF6bhTHGWKHolfjk01VDycrKChUrarb2AJz4MMZKH6lMhjLZBZ7XTCtxyyoAgKpVy0MmszL6+Y1JZ+Jz79499OvXT/W3s7Mz2rVrh8uXL2tMYuDh4YGYmBjTRMkYY6xU0JzOuuAzbEolUtjZ2Qju69e/dbH/gGaMMWNydBJuAS8UqRiiBv/Oulm1annj34YR6Ux8li5dinbt2iEgIACzZs1CQEAAbG1t8dtvv2nU7dWrF65fv26yQBljjJV8mtNZCw3y0e9cUisrlCkjE9zXuHEN/HVqjqHhMcaYxapaxSPfOm/TUjW2iZpW0lpfMq4FRPbWqr+rVbPgxOfkyZOYPHkymjVrhp9++gl169bF7NmzsWPHDrV6rVu3hpeXF44dO2b0AN3c3LBp0ybExcUhPT0dd+/eRYcO6oOn/Pz88OLFC6SlpSEoKAj169c3ehyMMcZMz6hd3aRWsLW11rq/Q4eGqFWrsmEBMsaYhSpf3i3fOhKpZlc4yX9qaz/AXv091qITHwBYtmwZypcvj0qVKsHe3h5z587VqHP9+nVUqFABW7ZsMWpwjo6OOH/+PEQiET7++GPUq1cP48ePR1xcnKrOlClTMGnSJIwfPx5eXl6Ii4tDQEAA7O0tY1o9xhhj/9JnVjd9SaRSrS0+SvosjMoYYyWBzNY23zpWNrrfM/MS5Wmlr1jRyaDji1q+iQ8AKBQKtWQjL7lcjtevX0OhUBgtMOBdUhMdHQ0fHx9cvnwZkZGRCAwMRFhYmKrOd999h4ULF+LAgQO4e/cufHx8ULZsWXh7exs1FsYYY6anrcXnu2//yFVHv3NJJfknPlWrljMsQMYYs1Ay63ySGiLYv03U+3xRWerj/f03BuCXX/4sSGhFRq/Ex1z69u2LixcvYteuXYiNjcX169cxduxY1f4aNWqgUqVKOHXqlGqbXC5HcHAw2rRpY46QGWOMFYK2xGfdulP4/bfjuHz5EUTQ3n0tN6mVNWxtdX/Qr98wAeXKORQsWMYYsyDWMuHJXgAARKgXdgrW2fqvcXZMnqD2d1JSWkFDKzIiFGyR1iKhnDlu2bJl2LNnDzw9PbFy5UpMnToVq1evRuvWrXHhwgW4u7sjKipKddyGDRtQpUoV/B975x3fRP3G8U9GM5pOWlpaRhcbyt67ZYMgWyxbEUVERRSRJVMBAQEBBwLqDxARRaSCUgRE9pI9yiiUDlo6oSNt1u+P0LSXu0subVI6nvfrlRe577onTbi75/usPn36mNo4A2QJgiCIMoUBdwHcKNISDBGYcZtnTt5HTrb1m7OXtwqNm+UAuGVlpDdEaGejpARBEOWLi3fikXE/m7PPLTMRodciOfuk87pCf/Ih9FH3TG3i0a9BHCwGcLPIyBCI0MCOEpcMrjI79k/mbUfEYjHOnTuHWbNmAQAuXryIOnXqYMqUKVi/fn2x1y0L9YYMBkOZkIMoHvT9lW/o+yu7fPDBECxbXlgEb8VnKzBjxhbGmMNR1hQZI5GRkdgTeQyz57xkZWQKPDxckJnJ/UBA2Bf6/1e+oe+v/DJ15iIM6T6Cs88jI87iXFGzahDFZMDwMBOiRj5wrtcQM2YOw8JFo01jFi9agnnzttlVZluxZugo065uiYmJuH79OqPtxo0bqFWrFgCY6gb5+voyxvj6+lJNIYIgiHKIWMy8Lel0zNhRhcJZ8FoikQhSqbAq5Y0bW0/zShAEUZ5xshTjw6fLqoz1zkRKJ0giQiH9sBMkL9SFVCaFTMa0n+Tna+0kqeMo04rP8ePHUa9ePUZb3bp18eDBAwBATEwMEhMT0bNnT1O/XC5H586dceLEiVKVlSAIgig55nV8zJPmCKlDYUIkYq3Hh69v2c5ERBAEUVKcZJbiI7mvleIONTnbZeVU8RHs6iaTyaBSqZCenm5q8/LywmuvvQYPDw/s2rUL586ds6twn3/+OU6cOIFZs2bhp59+QvPmzfH222+bXN8AYPXq1Zg1axZu3ryJ6OhozJkzB1lZWaxaQwRBEETZh634MN0WpBw1JvgQQcSyIPFhqd4PQRBERcBqVjcueNwaZTInyGROjLYKpfhs3LgRjRo1QqtWrQAASqUSp06dQnBwMABg2rRpCAsLs6ul5dy5cxg0aBA++eQTzJ07F7GxsZg7dy42bNhgGrN8+XIolUqsX78enp6eOH36NHr16oWsLHblWYIgCKJsY66omPtrS6XCFZTAwNqIf3RK0FhSfAiCqOg4OdnvOsdt8dHYbX1HIdjVrUuXLvj9999NxxEREQgODkbfvn3h5+eH69evY86cOXYXcN++fWjWrBmUSiXq1auHL774gjVmwYIF8Pf3h1KpRLdu3XDt2jW7y0EQBEE4HvPNRXOLj5MTc4fREr4+/hCLhcX4WEt7TRAEUd6RWrh+GviCfHiaJRIxXp3Yi9FWHiw+ghUfX19fRsrogQMH4uTJkzhw4ACSk5OxZcsWNG/e3CFCEgRBEJUDc4uPeYyPVCpc8QEAD7cgQePI4kMQREWnWBYfHle3oCBfyOXlz9VNsOLz9OlTeHp6AgAkEgm6du2KqKgoU39ubi7c3KgIHEEQBFF87BnjAwASqTBLjrMzWXwIgqjYWNo40kj03B08Fp+XX+7CaisPio/gO8i5c+cwceJEHDp0CAMHDoSLiwsiIwsLHYWEhFAKaYIgCKJEsC0+Zq5uNlp8RCJhxavJ4kMQREWH7/qpFemRosxDCFcnj8VHrmBfM/Pyyn6Mj2DFZ/bs2YiKisK5c+cgEonw888/4/z586b+wYMH4/jx4w4RkiAIgqgcmFt8WMkNbIjxebaCoFGk+BAEUdGRWXJ1s7EmbdbTXFbb6dPCiks/TwQrPhcvXkT9+vXRoUMHZGZm4ujRo6Y+d3d3rF+/Hv/8849DhCQIgiAqB+YV4Utq8RGazppc3QiCqOhYivGxNbmBykXBaktISCuOWKWKTc7Sqamp2Lt3L6s9MzMTa9eutZtQBEEQROXEWgFTia0xPhJhipKCsroRBFHBkfFsHIkNFsw9PK5urq5KxvHyZbuKLVdpYtsdBEDfvn3Rv39/BAYGAgDu37+PvXv34q+//rK3bARBEEQlw3qMj20uaWKxsNscuboRBFHRceLZCLLo5cbT6ebmzDjOyckrnlCljGDFRy6XY9euXejbty/0ej0SExMBAL169cIbb7yB/fv3Y+jQocjPz3eYsARBEETFxprFx9Z01nyKz5MnOYwbNyk+BEFUdFSurgBH4jURROA1+vBYfMqr4iM4nfWCBQvQr18/LFy4EF5eXggICEBAQACqVKmC+fPno2/fvpg/f74DRSUIgiAqOuzkBsx+WwqYGtdjKj7JyRlYsvgnjB61gtFOMT4EQVRkPHx9LLu02UjNmt6M4wqn+IwcORKbN2/GwoUL8fTpU1N7VlYWFi9ejC1btiAiIsIhQhIEQRCVA3ZyA/tafKa9+y3mzt2KpKQMRnuXLo3xxht9bVqbIAiivNC8fy9exSdVYUFp4dGV/PyqMI7v308urmilimDFx9fXF+fOnePtP3/+PHx9fe0iFEEQBFE5sVbAVOXsYtN6EjPFp0CRys1lu2Wv/eJ1VsAuQRBERUDp6sqp+GhFejxyyQWvhsPj6mbOiRM3SiBd6SFY8Xn48CHCw8N5+8PDw/Hw4UO7CEUQBEFUTtjJDZgWH5XKNsVHJJKYrWdUpLgUH6lUgs6dG9m0PkEQRHlALJFAbOY6vGztHNzwzkSeVM89CRBU30en0yEjI7tkApYSghWf7777DsOGDcPGjRvRsGFDSKVSSKVSNGzYEN988w2GDBmCzZs3O1JWgiAIooJj1eKjcrVpPZGZIqXTGW/wfP7o5q52BEEQFQG5XA5RES3GAAOi/vwNGonxGmtrcoOiZGbm2EPEUkFwVrdPP/0UQUFBeOWVVzBhwgRTNW2RSASRSIRNmzZh6dKlDhOUIAiCqPiYW3wMZtkNnG20+IhZFh/Lig9BEERFRKFkZmHTGnTQaTR2WTsrS22XdUoDwYqPwWDAa6+9hjVr1qB///4ICAgAADx48AB//PEHrl696jAhCYIgiMqB+eaiucXHxczi8+tvWzBk0AQL63HXBcrKyuUcb25xIgiCqAjI5cz4xdwcc9c0vhgfx8jzvBCs+NSsWROPHz/G1atXOZUchUKBqlWrUpwPQRAEUWysFTD19fFnHP/2+0706dMFzooQzvWMMT4G6PWATis2rVfg8mYOpbUmCKIiolAoGMf5Gmaco1n4TyECXN0yMrKKKVXpIzjGJyYmBoMHD+btHzhwIGJiYuwiFEEQBFE5sVTAVC5XoGrVaqZjnU6HxMSHyMi8ybueSCSGWi3F+dMBOHG0Noa8+IHFlNgqlYK3j4+gIF/Mnx+BESM62TyXIAiiNDC3+Dg5GVC7tp/1iQIsPr/+cqKYUpU+gi0+1gI+pVIpyxebIAiCIGzBPBlBUYtPdf8ARl9ScgK0Wg1y1TFwdcvF0yfsVNRScQ3Ex2YjJ9toyQkKbII2rTvjxMlDnOd3cbFN8XF2luPc+dXw9DTGHrm5OePbbw/YtAZBEISjkcuZ17Yafq64dPkLvL14Cxq+zO8uLMTi89VXf5ZUvFJDsMUHYAeZFuDm5oa+ffsiObl8FC8iCIIgyibmFp+i950a1ZmKT3z8fQDAzp3H0KzVQzRpHofAkBTGGJFIjrhYZqG90S+/wXv+oCDb6tGNHh1mUnoA4JuNU22aTxAEURo4mVm6xWIDlEo5+reuih1zFhU7lufbjX8hOTnD+sAygkXFZ968edBqtdBqtTAYDNi6davpuOgrLS0NERER+PHHH0tLboIgCKICYimdtaenN6MvKSkBABAVdRFiMeDplQOVil2fxxyN1pjJ6OLFe6y+Ro0DWG2WaNiwpk3jCYIgngdSJzMX32eX2kGD2uHsnn049cvv3BOfjXvn7W84u0+e5Hc1LotYdHU7c+YMNmzYAJFIhDfffBNRUVGIjo5mjDEYDMjOzsa5c+fw66+/OlRYgiAIomJj7lZdNMbHyezGrc4zplA1GAyQywYjL383RCLrLtdNQlsBAKa9uxGHj3zK6HN1ZbvLWSI/X2vTeIIgiOeB1In5yG9+rUy+HwvUC+acq1bnY/PmKKxZO4nVd/fuI/sJWQpYVHz+/PNP/Pmn0W9PpVLhq6++wpkzZ0pFMIIgCKLyYcni4+QkY/Rpi9Sg0Gi0eKH/Anz33XKB55Hgn3+uokf32Tj49xJTu0IhszCLDSk+BEGUB8yTugj2bBOJkJenQXa2GtnZalYCmCdPyk/xUsCGGJ9XXnmFlB6CIAjCobDTWRe1+DCVEvN0rGp1Pgx6Ybdz1bNCqPHxaYz2pk2D8POuj9C+fX1B6xSVrwCZTHDeIIIgiFJB5eHBODa3+PCnszZeWwHurJfZ2eWneClgY3IDd3d3LFiwAOfPn0dqaipSU1Nx/vx5LFiwAB5mf1CCIAiCsBV2coPC9+aubhqW4qOBXrDi4/psDjsmaOjQDjh+4jOEhgZaXYfLNc7Ly02QDARBEKVBYNNQKJydGW0FXsV5eUbLOW9mZpEIarVxTEJCKqs7K6uCKj4hISG4fPky5syZAycnJxw+fBiHDx+Gk5MT5syZg8uXL6N27dqOlJUgCIKo4Nhi8WErPtYTGxRQYPGxNOdA1ELevoED22LevJFo2aoOq8/Ly1WwHARBEI4mqGVTtmvbs4bc3DzLk0WFytGKz3azusubxUewPX7dunVwd3dH9+7dceTIEUZfWFgYdu/ejbVr16Jfv372lpEgCIKoJJiXjLAU42Ou+OTm5sOrarag87iYLD4a3jG+vp6c7S+91Bk/7pjBO8/bmyw+BEGUHRQuLqy2Alc3qVRiebJYBHW28Vr755/nserziYzu8qb4CLb4dO7cGatXr2YpPQBw+PBhrFmzBl26dLGnbARBEEQlg23xKVR8ZOaKj5aptKjV+ZBK2TE3XDg7W7f48GFJ6QHI4kMQRNlC4aKCyMDcVSrYZCpQfPhifEQSMfLyjElccnLY1iGdTtg1t6wgWPHJyMhAeno6b396ejoyMspPASOCIAii7MHO6lZ4UzWvQ2Fu8YmPT0VengYentazDI2JmIxatYJNLhz2hCw+BEGUJeTOzixXtwKLj0RiVAV4Y3zEItMGUVxcKuLiCotEnz59y+6yOhrBis+3336LV199FS4c5jI3Nze8+uqr2Lhxo12FIwiCICoXliw+LFe3fKbik5+vxc2bcRCJrdfyadCgKb7ftB+dOvawOK44GdoouQFBEGUJhYuK1VagCDk9q+/De9Usovjo9Xq8NvEL3LoVh0uXYvD21K/tL6yDEXxFv3XrFvR6PaKjo/H999/jzp07AIA6depg7NixSEpKwq1btzB8+HDGvJ9//tm+EhMEQRAVFnZWN+ExPoDRdc1Zbl3xKWDR/PVISU6At08WZ3+vXs0RGXlW8HoAWXwIgihbKFQqOJkXdy5ybL7hxEAiMrm6AcBff11Ag/qT7S1iqSFY8dm6davp/YwZbP9mX19fbN26lVF122AwkOJDEARBCEYk4i9gai3GBzBafThKTVjk2mV/dOkezUqsAABNmgTZrPj4V/eyTQCCIAgHIRKJUL1BXfgodGbthe8lErEgV7eKgGDFJywszJFyEARBEARcXJhaiy3prI1tWojNdzYFkJvjBGcVW5EyD+b19GS7e5sTGhpg8/kJgiAcgZuPN5zd2VboogVMpVKJRVc3R8RCPi8EKz5Hjx51pBwEQRAEgc6dGzGOi1p8pFLLyQ0Ao8VHSIyPOTnZMk7Fx5wv1r1hdUxAgI/N5ycIgnAEddu3AQBodSIUvYIWtfj0798KHk94ij9LxMWKdSyrCE5usH37dvTu3ZvlhkAQBEEQ9qBKFXYaaGelG1TPau6Yu7rlc1p8dIydTKFotVZqWTwjIqKr1THOznJTwDBBEMTzpO9brwMAzD3Zil4nd/48E/Pmv8y9gFiEBg1qOkq8Ukew4hMeHo4//vgDCQkJWLlyJZo3b+5IuQiCIIhKhlzOtOjEP3THtLc3IvK3c5g9cwWcZEzFR6vhjvEpzv6cRiP4digIDw92FiWCIIjSpsDNTWzlwshbyFQsQpUq1l18ywuCr/T+/v4YMGAADh06hEmTJuHs2bO4evUqZsyYgerVqztSRoIgCKISUPS+bDAAD+4VJgno0X0Aaoc0YIznjfEphqtbYmK21TEKhYyzPf6hO86cCMS1S37Izzc+PJDiQxBEWSAjKRkAI4mb8VioZVwiEhTbWF4QrPjo9Xrs378fo0aNgq+vLyZMmID4+HgsXrwY9+/fx8GDBzF27FioVHSxJwiCIGyn6I6jViuGRmPZXcyerm5HDt/Ef//dtTjG3d2Z1ZabK8WdW77IzZEh5bErHt73BAB06tTQZhkIgiDsTX5uLgDArFKAcMu4WIT3pn1rX6GeI8Wy7efk5OB///sfevfujZo1a2LXrl0ICwvD5s2bkZSUhB9++MEhrnAzZ86EwWDAF198wWj/+OOPER8fj5ycHBw+fBgNG9INhyAIorxRVPHR5FuPueGy+Oj1+mIpPpmZ+WjZ4l2s/nwPo71oXSEPD/au56MEd8ZxXGwVAMCmze+gbl3yhiAI4vkiUyoBlMDiIxbh55+P21mq50exnZoDAwMxZ84c/PPPPxgxYgQeP36ML774AuvXr0ePHj1w5swZTJkyxW6Ctm3bFpMmTcKlS5cY7TNmzMD06dMxdepUtG7dGsnJyYiKioKLS8UxyxEEQVQGiiYE0GiKq/gYeHcy4xNuF76Pf8DoUyqM1hzzehVF4464LD46Lf9t9PXX+/D2EQRBlAYypbFEAOuyaN7Ad+GUiJGW9tTeYj03bFJ8PDw88Prrr+PYsWO4c+cOZs+ejStXruDFF19E9erVMW3aNHz44YcICAjA7t27MWfOHLsI6ebmhm3btuGVV15Beno6o+/dd9/F0qVL8euvv+LatWsYN24cXF1dERERYZdzEwRBEKWDVFp4SxKm+LCTGxj0es501jLFA4yd8CIWLHoXH815HWvWLWT0K57tiubmMhUfpbIwrocrbodr17Qge9KLg9pZ/QwEQRCORO5s3LBh6zkCLT4VLJmzYMVn9+7dSExMxIYNGyCRSPDWW2/Bz88Pw4cPR2RkJHS6woqwGo0Gu3fvho+PfWoZfPPNN9i1axeOHDnCaA8KCoKfnx8OHDhgalOr1Th69Cg6dOhgl3MTBEEQpUNRVze9zvrticviYzBw39Dv3EmAXq/DkaP7cer0EeTm5jD6+Sw+SqXc9J5L8VGrnVhtumeyJyamWf0MRPlmxIhOWLVqItq2rfe8RSEIFiKRqIjFR2TWJ2yNz1f9Zm+xniuCCw00b94cK1euxA8//IDo6Gir46OiohAWFlYi4QBg4sSJqF27NkaPHs3qq1atGgAgKSmJ0Z6UlGQx05zBPJn5c6KsyEEUD/r+yjf0/ZU9DMgAcAwAoNdbvyur1bms2nIGXMb9e1msse3atWd850+fqnH+dKzpuG3bdjAYDDAgBsA1U/v099/F++9verb2AwBXGOs+zVSwzqXViCGV6tGxY0foDXrWAwdRMf7/GZAA4AIA4N1pgwCEQQS2O2RFpCJ8f5WBJ/l5+Db6PwACLD48l6n3pq/D9Omb7C/cc0KQxcfJyQnjx4/Hd999J0jpAYCUlBQcPXq0RMLVrVsXn3zyCSIiIqDVaku0VlFEItFzf5UVOehF319lfNH3VzZf7dsVuoZZU3zy8tQQi8WsNb768ivAwJ578eJFxrj69Zk79NHRdyASifDaxDcY7Zs3bTTN+XDGe4y+hIRUpKerWecqLIaajp07P3ruf9ey9qoI//+kUgnS04s+4xiw9NPJz10u+v7oVfCq16GtSekBipfcIL9jDYhFzs/9s9jysoYgxUer1eKvv/5Cr169hAy3G+3bt0fVqlVx7do1aDQaaDQadOvWDW+++SY0Gg1SU1MBAL6+vox5vr6+ePToUanKShAEQZSMoq5uOp3lG1h8wgPO9rw8Dbhu53I50zKjVucyjpWKghifPEa7woKr21df7odYzHacSIwvzPQ2YkQntGtHblAVicaNA3D9xpes2iZt2tZ9ThIRBJuer08wvRcZAEOqK6NfKtUzJ3BcONN85OzGco4gxcdgMOD+/ftwdXW1PtiO/Pbbb2jcuDGaNWtmep09exY7duxAs2bNEB0djcQaL8JZAAAgAElEQVTERPTs2dM0Ry6Xo3Pnzjhx4kSpykoQBEGUjKLJDfR6y7en1NRkzvb8fC3nDfxR0mXGMSvGR+n8rJ0/uYG7O1PxycjIhpMTu6hpUiLzXvnaa705ZSXKHz4+Hrh8ZR3q1PFn9YWHN30OEhEEN8Etm5nee6jZ1ymW4sOBecxjRUBwcoM1a9Zg0qRJqFq1qiPlYZCZmYlr164xXtnZ2UhLS8O1a0Yf7NWrV+PDDz/E4MGD0ahRI3z33XfIysrC9u3bS01OgiAIouQwkhtYcXUTi7mzvvFZfJYt32A2zszio1RBJBKxbvSDB7fHvHkjoVTK4W5m8XnyJBcSCVsOnU6ClMeFY7VaHWsMUT75cccHFvsbNw4oJUkIgh+pjKno+GUpWWMkAhSf3Aqo+AhObqBSqZCTk4M7d+5g9+7duHfvHnJzmTcOg8GAFStW2F1ISyxfvhxKpRLr16+Hp6cnTp8+jV69eiErix3cShAEQZRditbxEZLcgIu8PA1njE9MTCLjWK9n3/RbNG+P7OwnrPb5C0YhINCXZfF5+pT/oeDapepo0yEGSmcNNBpSfCoCYrEYYWFNLI65fGUdvL0iKlTdE6L84VWDaZFU6NgbNBKJuasbe8vI3AJeERCs+CxdutT0fsyYMZxjSkPx4coUt2DBAixYsMCh5yUIgiAcC8PVzUo6a74g1rw8dm0foaxYtgWvTwnn7JswoQerLTvL8kPBmRNBaNHmAZxV7MxvRPmDK505FxMn9sLy5b84WBqC4KdWk0am9xKeTSSZzPqGTH4F3LQRrPgEBQU5Ug6CIAiiklPU1U2rtaz48KXTzcvTcm1cCsbVpabVMXo98CDGCxEjZ1sde/FczVJ1EScch3kyAz6WLhtPig/xXHHz9ja951J8XFzVUCjNNok4rpvuHhUvPbtgxSc2Ntb6IIIgCIIoJgWKT2aGAsmP3CyO3fbj15zt587dhqEEdXM8PaoiMzOb5dZWlIQ4D8TGeCGglpfV9fR6MTzcGlkdR5R9hFp8COJ5I3MujOmpymHZadoyDgIyPzOyWlYULG6piUQifPjhh7yubQWMGTMGM2bMsKtgBEEQROWiQPF5cM+yQuFTzRUXL53m7Dt58ibnzqVQlEpnq+5yd6N9bFrTSWrbeKJswmXx2bD+j+cgCUFYRl5E8Wnjxaw15uaeC6lUj2nvbsSMDzYjISGVd539+885TMbnhUXFZ8yYMVi8eLEpgxof165dw5IlSzBy5Ei7CkcQBEFUHgoUn/Q0/p11rVaDho39LFaOP3WKWc5AJOLOXnT7znVWW926jUsUJ8SFXCZBeHgTbNw4lTNWiCgfqMxita5di8U//1x9TtIQBD9y50IXNVezvAYF2dxOnryJFSt2Y+CARUhNfcKZ3GDVhkiHyvk8sKj4jBo1Cvv378eFCxcsLnLhwgVERkZi3LhxdhWOIAiCqDwUTW7Ax2crrcfVpKbfhFJZkHjAgAah3AWtN25axWoLqBVid8VH6iTBgahFeHViL2za/A5GjOhk1/WJ0qFoTScAuHLlPu9vpWZNiusinh8yZYGSboDOLF5S+iybW3a20RJ04cJdBAVO5Fwn1oI1qLxi8S7TokUL/P3334IWOnz4MFq2bGkXoQiCIIjKh1QqsZqY4NCRfVbXOXXqBlq0jUX9Rolo3joWCiV3sdP/Lp5itcllcuTlaQXJKxSdTgyxuPB2O2cueUeURxQKJ8axWq3hVXwexG7Gr7utK+kE4QgKYnwkInaimAKLz4MHj01tWVnM8jQAsPdRnAMlfH5YVHxcXV2RkZEhaKHMzEy4urpaH0gQBEEQHDg5SWHgqMFTFK3WujVm167juH37AXz9nkLlkoPRo1byrrV8xSxGm0wmt7vFR6djfqbGjQMQEuJn13MQjkdpFuitzs2z+FsZNKgd2rev72ixCIKF3NkZEr0IdZ864/ZNX0afRKLHrl3H2cqO2aaTTme9wGl5xKLik5KSguDgYEELBQUFITW14pnECIIgiNJBKpVAp+VWfLRaDZZ+NlPQOjqdHm1av4fhwz5Fq5bTsHfvGd6xly4z+2RyRbEVn9VrFyA+gZ0Blasm0VdfTynWOYjnhy0WnwJeeqmzI0UiCE5kzkqEZjlDmaVk9UmlKrw5eQOr/dYtpoUnISHNYfI9TywqPsePH8fLL78MqdRy1mupVIqIiAgcP37crsIRBEEQlQepVAydmZLwKCkeo8b1RMTYHvjrwG7Ba2Vnq/HLLydw6VKMxXH5+XmM4+JafE6eOow9e7dj9LieWLFqDqPP/DMBQPfuTVG1qrvN5yFKlwkTemDTprfRu3cLdOzUkNGXa8XiAwB6fQlSDBJEMfFwdoc4hzsVtVTqj5SUJ6z2PyLPMo41Wvu6/JYVLCo+a9asQUhICLZv3w6VijvLjrOzM7Zt24bg4GCsWbPGIUISBEEQFR+pVAKdnnlbys/LQ0JCLB4/5k5QUFLyzBQfuUyOli1DbF7nQNQe0/uz544x+sxd3Qpo1aq2zechSo+hQztg0+Z3MOGVntj/5wIMGdKB0S8SiawqPq6u7B13gnA0VRVVePskEu5H//h4ptdWSQpBl2UsmnJOnDiBefPmYeHChQgLC8Pu3btx5coVPH36FK6urggNDcWgQYPg5eWFBQsW4MSJE5aWIwiCIAhepFIJDGZu5To9u/iePeGy+Li68lcr51NiTp05YnqvVjN957lc3QCgfv0a2L//vEBJidJm3scvW+yvUdPbquLjrKp4BSCJskfT3t1RvX5dnI/8E0l3Y+AjcQd4Lp0SnuyZIiEVTSsAln3YACxZsgTXr1/HokWL8Oqrr7L6b968icmTJ+OXX35xiIAEQRBE5cCY1Y158/UJDkC7YS/i1K49PLNKhrniI5crYDCAt6p5bq4TZ3tRZSdXncPo0+nEiH/ojuRHbnBzz0VQSCrEEgNcXMgaUJYJDQ202O/nVwX5+Zbdgcxr/xCEvWnxQm9MXLgINZ44I3/4ZFxLuQ2lWMar+Mhk3I/+5pe8Cmrwsa74AMDu3buxe/duBAcHo2HDhnBzc8OTJ09w48YN3L1719EyEgRBEJUALsUHEjGGfzwT/+2LQl5ODvfEEmAwGJCfnw+ZrLBGy8WL99G8eSDn+OuX/a2uqdHkQ6fTQiKRPjuHCHduGTMrPclUQq12QqMmiVCRNaBMo9frGWnIzdmw/g+rma+cnek7JhyDRCLFK5Pfx4vDxkCV+uxxXgN0UjWC1sLv0tWN+zdpbvGxVCS6PGO9WlwR7t27h8jISGzfvh2RkZGk9BAEQRB2QyoVs/zKDc/2Hfu9O9lh583NzWYc/7DlKv/YHBmrLS3tMatNrVbzrpGS7IqkRFeyBpRxLlyw/Izz558XEB+fiqtXH5jazOMk6DsmHMWUd+ci4sUJUGmYNgwxRJDpJbzzpFL+vqJUTLXHRsWHIAiCIByFk5MUer3ZruOzfz39qjnsvOcvMONTdTpvdA+fjfkfbxM0f+lnH7HaVCoXi3NuXvODq6uncCGJUseSK+Lnq35Dbq7RTfKF/gvwzdd/4vNVv2HMaGbNKLLqEY5ALJWg9wvDbJ8n5o9JqxwRPqT4EARBEGUELle3gkOlq2VFoiQcP/k349jfryYOH76MhQt3oKr3KMz4YDNGj1oBJ+kg1txVaz7G2XP/Fuu8tWo2KdY8onRwd+dPcpGUVFjcPTb2Md54Yz2mT9+EuLgUxjiy+BCOoMvokXDWCopWYSLij0ljJTeooK5uxfirEQRBEIT9Mbq6mVt8jDdfpZurw86blsZ8WHV2LizfkJr6BCtWGOsHqVRsGfZG7ij2eYOCAoo9l3A8Hh7cZTwAID09i7M9O5uZLMPT03EKO1F5adorvFjzRCL+LJmVJbkBWXwIgiCIMkG79g1Y6axLw+KTYxbjo1RyP/CqnJkyJCcn8q75KCne6nn1ehE9GJdRZDIplEp+NzU+xce8vUoVV3h7u9lVNoKoFdrQ+iAOZHLr16UCKLkBQRAEQTiILl0ao1Wr2hwWHyOKIopPliYfoT26wcPXxy7nzs1hKj516zRC716DWeOczeJ2cnK4H34B4Muvllo9r14ngpeX4yxZRPFxd+e39gBAWtpTzna1Op/VNnXqALvIRBAA4FbVu1jmGIVCAyd5LG9/JSnjQ4oPQRAE8fx5bVJvAOCI8THe4RUqFcQSCarXr4vvb1/C+M8/xfu7t8G7Vo0Sn9vc4gMA772zEJ4eXow2FzNXt6xs7odfADh67ACOHjtg8bx6vRhVqpDiU5bo27cl9v+5AN99P83iuPR09m+Gj7nzRlJaa8JudBg5BBLztP8WaNPxHkKbx6FVu/vQGywlN+DedKpo8Mb4bNq0yebFDAYDJk6cWCKBCIIgiMrHqFHdAFiOp1W6uqD/tDeRp9eZjpv17YmDX28p0blzctgPsTKZDLVrN2QkLnB2Nrf4WH74vXnzMrp06sXbr9eJ8O2md9Ek9E0bJSYcgZeXG37bMwdOTtbDn+/de2TT2lnZu/DiwEXYu/cMxGIxDAZDhXUlIhyLf53akOuE2y2USi2USmNSA72e/zfHzm1QMX+fvP+7w8PDbf7QFfWPRBAEQTgOX18P03tWOusihwpXV9Tr0JbRH9Ss5JnRzOv4FPBC/xEMxcerSlVGvyVXNwDQ6fgDiQHgUaI7RKIw7N71JyZNHo/Hj217mCbsy9ixYYKUnsOHLyMzk1/p/fnnYxg+vBOrfc/vc7Fz5zGMGNEJly7FYOCARXj4kF0DiiAs4ertBef84uUmW7xoB37/3bI1s6LD+5cLCgoqTTkIgiCISkrRh0S+rG4Ad4IDNx9vh8nVqUMP03uVswtmvP8Joz/biuLDSg/LgcEghod7ED5f8QVGjxtePEEJu2Ap0cT167EQi8VITX2Ct6Z8ZXGd2bN+4FR8AGDECGN706ZBOHN2Jfz9xtGmMWETLl6ekAp0dateM930/rffTmHfvnO8YyuLqxvF+BAEQRDPDYlEjLVfvG465qvjAwDO7ux4GCe5fWIntv3IfpgVi8XwqeoHAAgP68/qz8m2oviIhd9iq/s3gZOTTPB4wv7k5fHHP2zeFIWGDSajc6cPcePGQ4vrZGWpBZ3P19cTy5aNt0VEopLj4uWJKv5+kOi5ry0nTh3Gl18vQ37+E3hUyUbNwDQARkvPkMFLoNPpOecBlcfVjRQfgiAI4rnRr18rxrH5vbbo4evfrGXNlynsUyDyxx0b8TtHTZ7331sEABg2dAKrz1JyAwAQ25gmqWnT4qWoJeyDJcUnO1uYMgMAOTl51gc94/0PhggeS1RuRGIxpu/6HwDwWnwyM9Owc9dm3I7ZhKYt4iGXG91tixbcFUrFVHtsVHx69eqFv/76CykpKdBoNNBqtawXQRAEQQhl3fo3GMcG8xgfK7dfJwu1VmwhOycLn6/5mNXeulVnAIBancPqS01NtrhmYqJly4A5Hh7ujGOxWIL+fYdjxLBXWDWECGE0bhyADRsmY+bMYXB1VVocK5FIePvMC5NawhbFBwDkciebxhOVk+r168LN25hpUqLnVnxu3boKAFC5MDeEhFghzV3dKiqCo6MGDhyIX3/9FdevX8eOHTswefJkbN++HSKRCIMGDcLNmzfx+++/O1JWgiAIooLh4+PBODZPbsBzfzehUKkgEoth0PO7cNgDXx9/VltqmuXA9H+PH0RqajK8vIz1hjZ8vRQvvzQenh7VOMe7uxkLXbZp3QUSiQRtWnfGoIGjAACdO/XE1HdfLslHqHQoFDJEHVwEX19PAEDPXs3RPXw273iVil+JtsXio9XqkJ+vgUwmTKEJCPBBdLTwwpJE5aNJr3CMW7nEdMyl+GRkpOHvw5EAABcXppKflZVr9RxsV7diCFoOEKz4zJo1C+fPn0eHDh3g4eGByZMnY/PmzTh8+DCCgoJw6tQp3L5925GyEgRBEBWMgt1ug8F449WxsrpZvvuKJRI4u7kiOyPTYTJ6enjB3d2T1X7v3i2L87RaDSZPHY5+fYYhMfEhDhzcg/59h8PTg3u8i4sL3nzjIwwfOp7V17hRC0x/bww2bf4VGRnCa8hUZjp1amhSegAgLKwJ/P2rICEhjXN8aJNA3rVsUXwACFZ6AODY8eUIDpoo6OGUqHxUqe7HUHoAsOr4RO7bioN//4R27YJx+PBluNjB4mPN2l5eEezqFhoaiu3bt0On05lSdEqlRr0pJiYGX375JWbOnOkYKQmCIIgKh1QqQVqKM/45WBdHD9XBg5gq0JvVp7Bm8QEAFZ8mYSeaNmnDatsbuQPJjxOtzn38+BG+/986HDi4BwCQl8f/AFKrZm1OpaeAF/rOwZHD2yCV8rtkEYUEBPiw2grqRZlTu7YfXnyxHe9atri62Yq3txtmzKBYn4pEl8698dabs9G0SesSrxXQpDHj2C3PCc5apt1i4eKO+O/SShyIWoR/ji5luXUKTbhRlIpq8RGs+KjVaqjVxj9cVlYWDAYDfHwKLypxcXGoXbu2/SUkCIIgSp2AAB907NgQEonjcuCMH/cyrlysYTwwiHD/rjfiHzItK3orFh8A6DhyqN1kKlq3BwDu3r0JlYodX7OKIx5ICE+f8lumwruNtjo/PaUBFi6YX6xzVzYCAqqy2pYtZyepAIBp0wZZXOvJE3aMlz2ZM3ekQ9cnSo+2bbpgwby1GDp4LFZ99gNq1ihZeRi5i8r03jtHjtrp7OyWUqfCmmEdOjRAhw4NGP3FcXWrqAi+o925cwd169YFAGi1Wty4cQNDhxbebAYOHIiEhAT7S0gQBEGUKj17Nsf1Gxvw77FliDq42GHnGfSi9ZgVvQB3i04R9qt/8/ehSMbxvZhoKBTM3dM9v28v9vp/7NtZ7LkFtG8zAt269C3xOhWd9mYPfwVwFSkdNbob7zopKU9w82acTec+fvy6TeOJisPbb80zvReLxRg39q0SradQPVN8DECtJyrOMVKp5RhHcnUrRLDis3//fowcOdLk3rZ69Wq8+OKLiI6ORnR0NPr3748vv/zSYYISBEEQpcOqzydC+SxbWrduoejevalDzqNSWvcSEFinD25V7VPINFfN3BmVy+WQy5n+8tYKl1rin38P4MaNS8WeX8ArE6aWeI2KjEgk4v3dcmV3s1Sz5NVX1kCjsS1r7cGoi6y29esisW3bEYQ2niJYroqAh4cKrVrVgUJROepU+fvVZBw3rN+sROspXFRQ5UvRIqkK7xhr1hpKblCIYMVn8eLFCA0NNaWs3rRpE8aMGYOrV6/i0qVLGD9+PFatWuUwQQmCIIjSoVGjWozjXr2aO+Q8arX12hICPN0AAF3H2ifjWb5ZDI6bmwcUCmdGm6U4HWvo9Tq89e7LeGPKMMTGHSz2OjVrhEClYru8EEZq1/bj7UtJ3Y5/jy1DtWqFbpV8CSPatZ2OvXvP2EWmqVO/xpjRK3HtWiweP2a7PHbp0phjVvmmXr0aeJyyDWfOrsKp0ytMGyqVCZG4ZD5kcpUz6qW58fY3bmo9I2CxYnwqu8VHq9UiLY2ZCWX79u0YMmQIhg8fjv/97392F44gCIJ4/rRo6Zj4Ta3WetyEefYiPrqNjyipOACAXLN6PcFB9aBUMhUftbpk2bf0eh1uRV9B1N+7SrROcHBwieZXZDw9Ldc96tixITZvecd0fPp0NGuMm+sInDnDbheCyMoW/B9/nGO1Va3K/3BbXrlx80tTfaQmTYLQr1/L5yyRfalfLxRLl2zEzh+Pom6dRpxjxKLix0kGNW+CbhEvWRzjVdV6lkchtaUqSYiPbQVMCYIgiMpH9+5N8dJLne2+rlRq3fVFI+H2XZdqtRDrdIw2T3/u+ji2cPPWFcaxm5sHvL19GW0lVXwKOH36Fnz9ip+Gu2kT7hgWQpjbWJ8+LdGsWTB2/PQhRozoxOgb+dKyEqWXtqb4vD99E6vNzc2ZY2T5JTiY/f/x510f4V7Mt4iI6PocJLIvTk5OWDDvC7Rt0wVVvX3x9YZfUbMmezNCJC7eo/bAGe/grR++hsTAP9+/hnWrOWDZlbMA899sRXV1E1zH5++//7Y6xmAwoEePHiUSiCAIgih7/LhjBn766V/rA21AIrFe6yRTrmG1tb1+DW1u3kSOXI59bdsh0dsY31MtJBjpCY9KJFNenhopqcnw9irMWtoktJXZGPsoPnfuJMLFNQ9J1rNic9K3Ty9s3bbDLrJUNITGy+z5fQ5q1mRnf8vMLFkWN72VgrppaU+xZPFPmD2ncDd/8pv9sHHjAeTmsnfnVSoF1n7xOtq1q4cfvj+EZctKZi0sDRo3DuBsDwz0xVdfT8HevWfw9Gn5rV0U2rgVfHyYLpWL5q9jjdNp2dcwayjdXNF1jDHTH1exUgDw9nmKwOAUq2slJaULOqf5WSq9q5tYLIZIJGK8pFIpQkJC0K1bN9SoUQPiYmq1fMycORNnzpxBZmYmkpOT8fvvv6NRI7Yp8eOPP0Z8fDxycnJw+PBhNGzY0K5yEARBEMYgZXsitqL4TH03At+9P5vR5qxWo83Nm8b3eXnocPWqqa9aHfu4fuXkMF1HqngyEydkZgp7kLCGwWCAt4/1RAnuHjmIOjwX92MPMdr9q3VEtWrsWjWEcOsJl9IDCHMNKqBZ7+545YvP0GPSeIifuXVt3syM39q86QBrnnmK7Hr1auDuvY2c53j99T6YMKEHGjSoiU+XjsPQoR0Ey/c8kEjE+G3PHN5+FxclOnUq389qAbVCBLVlZT+1ad0GjZph3y/n0OJRFdRNdYWUQ/HpEh6NRk0S4SSzrGADwLChS206fwEV1eIjWFMJCwtDeHg449W1a1cEBgZi4MCBcHFxwXvvvWdX4bp164YNGzagQ4cOCA8Ph1arxcGDB+HpWRiQOGPGDEyfPh1Tp05F69atkZycjKioKLi4WPbvJQiCKK/UqhWMHuEDWC5YjsbDw77XVbGIX/G5qUvA1WvncfnAIUwPbW9qr/E4mTHOPy3V9P6FaVPQpFd4ieWyZtGJfXivxOcoYN0XOyFXMHeEW7R5YHrv7pGDRk0ScOXKfRw7fpw1/8f/2dcKV1EoaYY0oYqPT1AAxqxYjEbdOqHv1NfRamA/AEBcfCpmz/oBT57k4MKFu/j0U7aFhqs2ULVqntAb9rKK1PboycwM9tXX3JnhygqDB7e3OqY8Z7Fr3qwdBvS3HHtTgHk6fGssWVnoBumicULddGbsV0ZmDGwJG7p4Udj1ypp7ZkVBsKubJf744w9s3boVq1evRrdu3eyxJACgT58+jOMxY8YgMzMTHTt2RGSksdbCu+++i6VLl+LXX38FAIwbNw7JycmIiIjAN998YzdZCIIgygL164VizartkMlkSEtPwTvTRiEu/n6pnFulsl9GJqPnAPMWlOSXhmStCAYREHePWRcu/kY0qjeoC4OVm/OwuTNw+cAhi2OsYSmGJz8/H4+SrGdREsqXX+7DW1NH4MbVasjNlqFGQDpc3fLQtUc0DAZjitmnT3Nw7Nh16HQ3MPrluaw1/P1rISEh1m4yVQRUKmYK8n//vQZPTxde9ytzYmMfCxrX561JjOOXFs5CrdCGaPlCH9y/dAW+fhOQl8PtNpeYyG85zNf8Bifpi9DpjDv6ffowkwJ4eblBKpVAq9VxTX/uDBjY1uqYoln1yhPDh03Am6/PFDxeqRAeu1W1Vk14SCxb1uvV9wSQbHFMUbKzhWV0I1c3G7l79y5at25tr+U4cXV1hUQiQXq68WIRFBQEPz8/HDhQaEJWq9U4evQoOnQo22ZggiCI4hDerT9kMmNSgCqe3pjy5iy7n0OvB+7e9sbVS/7ISC/crTR/mCwJH388DkVvtRKJDhkSHTQSA7RiAzT5+Yzxe5avhk6jhd7KVqfKw73Esjk781u24uJjrMZv2EJMTBLy8jLRvFUcOnS9h1qB6fjrrwsACutqjB61EunpWXjy5ClnMHPnTtZ31ysbCgXTmnjk8BU0CX0LTtIXrdbkSU/P4kw3zYV3zRqstvbDB0GmVKBuu9boOnYk79yDB9m1fooyalQ3AEYXUy4Fx1H1tUqKl5cbxowJszquRg371N4qTaRSJ5uUHgDw8vLBwo/X4XDULRyOuoUNa3dCLJZwjg1pHMoqJGqOq2u+xf7iUlmSG9hF8ZFIJBgxYgRSUqwHWZWENWvW4L///sPJkycBANWqGTOGJCUlMcYlJSWZ+giCICoSoWaB9u3adIWXl/3iPCQSMW7f9EXcgypIfeyCK/9Vh1ZrvFXYS/HZ+fNMTH+fWXdHJtMhR1t4S9Kqma5Gd8/9h9Uvv4Lj239mrWee3a2khATX4+1TKuwb5wQAbdtMx61bcdDr9Vi1cjf69vkYLVu8i9DGUyAWDWDUkZkx8x3W/JCQQLvLVN6Ry5mKj1ptfFjU6fS8NXsK+GnHUcHnEUu5H2AL6D3lNc724FbN0Xf6O4g6cZ937uQ3+0Fv2Iu09B0s1zcAGDCgjWA5S4vq1b3wOGWbsLE1vBwsjf35afuRYs3r3Kmn6X2DBk1ZSRCkUicMGhiBT6d9bnUtF7fi1xGzhQqq90AEgZ9t0yZ26kUA8PDwQLt27VCtWjW89957WLNmjT3lM7Fy5UqMHDkSnTp1QkxMDACgffv2OHHiBGrVqoWHDx8yZK1evTrDVU5IKj+CIIiyzqnjMVDnMmNCnFUytGkfaJf1s7JzcO5kHKMttFkcqnjnAGgNEUoWV2RAHoAoZKQrcel8YYVzN/dcHFEWupjVUrlhWBA7+Fl/6Rx0e35itG3s/wLU8kI3PFcnGVp7+6OZl+UNML3BgDydFgqJlLHbeev6IyQmPOGc06xlDXh4OibtsAEGq7u9BugRc+c0Yu8XPjQGBEkRFMJO7FDgqmJtzYqIAdcAxBRpaQgRgp/13QJwm2NWIAAVgACIBO4Lb4m+iPR8yw+ibzVoDZmkUE6xeLQAACAASURBVHE5GH8Pl9ONrkquTjpMqJsBidBKvQyqQYRW1oeVIgZcByA0Bq4KRCg/3jmafB2OH71rt/W6hNeBWCyCTqfH5f/ikZkhLMNdx273IJXyWS1lAIpahAIhgrDCuLqoSOhP/mM6FnfvB0lH65a7sgxX3JJgi094eDjCwsIYr27duiEgIADHjh1Dnz59HKb0rFq1Ci+//DLCw8NNSg8APHpkTFvq68u8Efv6+pr6uDDPTvc8XmVFDnrR91cZX+X5+4u+dYt1TcvJzkfXLn3ssv7smQtZ62u1xoe2l0cOL/H6HTsYg7TjYpn+/bGJTJ/1fZGRnPPffI29gy7TMBXBp5p8RD28A6+a1RlzA5uFov3wQXB2d0fzvj2x6Oh+fHnzPMatXMIY99LLL/LeP7y83Rz23YpF7Oyp7DESHD9+gSHTgxgta1ynTo0QF/c91OrdmDp1wHP/3RZ9lcb/vy83rGf8jd6aMtXUV92f+2FbLAqFWBQMsUgi+Dx37ll/yO89cZxpvNzZ2aT0GH+rEvxw2wNLPvsdMTFJFlZh8++/f5e5749L6Vm5Yjen/BcunH3uv0VbXrXr8luCi8OwIWPRrWtfTBg3VbDS8+eBXy0oPcAPP/yJmR9+h0eP0nHo0CXUqN5V8Pf32YoVjLU+/PDD5/43L+7v0xKCFZ+goCAEBwczXiEhIWjVqhVeeuklREVFCV3KJlavXm1Sem6Z3fBjYmKQmJiInj0LTYhyuRydO3fGiRMnHCIPQRDE80TDUxOiY4fudlm/Tm22laXA1W3Z8gkW5wYF+WLevJEWixPKZMaEBqmPmXE0GRrmDSvuOlvBAwBnJ3ZOHpmW/SAgkUrRqFth0dWOI4fi7a0bMfzjmVh8/C+M+WwRXL2qAACa9emBwKahprGXLp/Bkk/fZ60ZHX0Vev3zDyZPTWUHNru6FsY2+ftXwb/HlqFGDW8oFDIsWz4eLi7lN4NWcZDLmb8Ttbrw/01iYhqWfsp2mSzWeZyt/10HTH/L9N67FjsmKCNfAnGXlxAeZlu8nre3m/VBpUiDBjU528+fv4OPZn7PardnspTSIKghu5xKAY2axKNLeDTEHpbdKIvy9ltzMX/uGrwynu2+WsD5K6eRm2tcM/KPn7Dl+88srvndloNYvvwX+PuNRY/uc5CQkCZYHnZyg4qJXbK6OYp169ZhzJgxGDRoENLT002WnaysLGRnG38Iq1evxqxZs3Dz5k1ER0djzpw5yMrKwvbt25+n6ARBEA6B78G7aRP7JJdp3Kgdqy3rqfEBpVatqmjVqg7OnWO7Cbm4KHHkn09NdVECA33xySc7GWO6d2+KffvnIy+PHa+g93FF0VvtjaPs1M0A4OzEToEt13Arg25Vje5gfnVDMGQ2W5Epim9IIO5fumI6PnhoL/759y+sW7MDdes0gk6nw85dWyyuUVokJbMtAzVqBOLGjUsAgKXLxjP6lEo5QkKq4dKlGNa8iopcIWMc5+UxfyOLF/+E8RN6mDKLff3V/mKdx6WKbZnJ+MYrVCo0GTzYprW8vFwFj+3VqzmmvTcIder4Y97crdi585jdM8L5+1dhtWVmZiMy8ixycvKgUDjh4/kRpr7ypIxL5XKMWjQPMEvE96hWMkbUyUCBoaFzq3isueoFnywl/LNK7hK7YvksPHpU6Hq882dmYoWUlCf444+zCAtrgm1bD+PIkSvmSxSbihoiwqv4dO7cma/LIv/+a7+aAlOmGPPUHzrETE06f/58LFiwAACwfPlyKJVKrF+/Hp6enjh9+jR69eqFrCzrReEIgiDKGy4q7l1eXx9/NGzQDNdvWM4UZYka1QM52x8luKFuA6OVYf6CCLzQfwFrzMiRPfE0vQnOxsng7ZOF9z8YguXLfzE9XNWsWRW/7p4FiUSKi+fYu95ZRT5WdkYm4m9Ec8qikrEVH3NXN9NYDw8AQPirYzn7i+Luwy5kqdHkY/JbwxDauCXS0lPx0I71e0rC3Xvsv43bM4tPp04NMXo02y+/wNIGGBXYL9a9gWrVPPHJkp3Ys+eU44QtRapWdUd6eha0Wh0GDmQG/hckNyggJycPL/RfgPemD0ZiQhoWLPjR5vPJnY0PtgqtGB5qGbKddHgq5/4trrxyEuvGvg6foFq863V7dTwyc5PhrmQ74/z11wWMGL4UmU8KNxOEJhtp0KAm9vw+15TwYeu299G8eQg++GCzoPlCcXdnJ/5o0fwdZGUZ3bjWrPmdofhUr+6Fy1fWITk5A69PWo+7dxPtKo896RwxjFVINF2eDzelFubeVQNqPYEoGYgtpuKjEeuRI9Xiq28/Myk9/fq1wldfT2FlwvP2dsOE8auLdR5zhLiJVQR4FZ8jR44wtD2RSCRI+5NK7WdEEvolLFiwwKQIEQRBVFQkEin8/NhKQwHr1/6EIcM7ID0jlXeMJXp0H8DZbjCIkZbijCreOWjSJJBzTP8+r+JxsnEHOjZGDhiMdTri4ozZPmfPHgFXV2fE3vdETjbTxeV64i1oqxUqHrdPn+O93ygFuroBgNLNKE+Lfr04+4vi7sudGU+v1+PS5bNW55cmjx6xXd12716Ivw/v5U1xXFAssl+/Voj842NT+8+7ZqJb149w4sQNxwhbCojFYvy2Zw5eeIHf6lnU1a2ACxfuYvSoFRyjhdF6UH9IdSLUT3GH+Jmj0B2Pp3ii4FZ+3vrha9w995/FNdO1criDPT/LLxRN+vZltKlUCkHPZrNmj2BluZv+/mAsXboLqancSTyEMnJkF8ye8xLi4lJw6uRNRt/33/+NmJgk1GzUAFK5DPFXr7PmG+sqBWDZ8vEYNvTTEsniSPzr14WTnqmQiqQ66NMeATWZbrvBbhrciives3CaIg+XtbGIXLEe5/carZAikYhT6bE3ld7VLSyMuWMkl8uxfPlyyOVyfPvtt4iONu441atXD6+++irUajVmzJjhWGkJgiAqMSEh9a2O+fbrPYgY2wN5ebalPK1ZIwjjxrzF2x99wxdtO8Xwutf4+NRGfpEM1LH3vRBz/zs4SV8AAAwZ2gHZWTLE3GFbVhLyU1AFhe23jvFbIFQcrm69zp3FXX9/aM023pr06Ma7jjnuvmy5yiqxsY9RvWY64h8Wuk3l5TmZ6r5w4erqjM6dGzGUHgCQSiU4dnw5ln76MyIjz5ZLBahv35YWlR4AyM+3XLunOAS1aIpq2UqT0gMAtTNccaEaf1xFSKvmFtc8n6pEDZUG0mfP2LczZbiRIUesWIYhcz+AVp9i6gMAhUIGV1clIiK64uHDx9i9+xT0ej1UKgXWb5iMsWPDec/1OGUbqvuPQ2Ki8DiQolSp4orNW96BQiFDo0a10Lt3C0Z/jlqLlVdOms3iLnsyZEgHwRvstiKWStApYjg8q1XD8R27kBIbZ32SGSp3N9R4yrTgtKz+FGfPXwGasutoOavyWG1qiQ4KneX0538f/gMb5n0EudwJXbs2xu3bCdDp9LxKz+HDl234FJYxtzVUOle3o0eZeexXrlwJtVqNtm3bIr9IYbnIyEisX78eR44cQZ8+fXDw4EHHSUsQBFGJUVkorFlAlSpV0bfPUPy2R1gtjZDgevD09MbSJRstjsvLc0JenhQ6HTv7UMsWrZGfx76dZD2Vo0uXxvj332twdXHF6eMBnGv7tG4IbZH9xcexDznHAdwxPgCQOm8RHvXvi3odmTFKLl7CYjD4LD5CUHm4o36n9ki6dx9x129an1BCHjxIhlLJtArcv+uNJxlK1G+cCCcndoFVV1clhgzlTx0886PhmPnRcAwcsBCRkWXLwmWJAQPaYM/vc62Oc0QgvVcNf3iqZaz2wFQlDBIxUpzzkC2zTeGKzZJhy21PqKR6pKil0BmYT6MavQhSceH/FTc3JRIf/c90/NHM77Fs2S689dYLFpWeAvbtn4/mzd62ScYCFi0aDYWC/fkLaDF4EE6wjZO8VK/uZbIQ20rHkUPROLwLbp8+h8ObtzIe2ntNfhU9JxkTs3QZ8xJ+XrgMedk5uPjnQRgEFiOu61Ob1ebikofBg7mLB/v6PcW928xryl3Pp2iU4sFoS1Gq4ayRwgAgTZmH7z9fBqlUghMnP0Pz5iEAgMuX+WPzdvwovOaUrVRMtceG5AajRo3C4sWLGUpPAWq1Glu3bsWcOXPw/vuWA0gJgiCI4qFUMnccT5w8hA7t2Q83zZu2FaT4vP/eYvTvO1zw+TX5EsjkUnh4VMG82Z+gfr2WUCr5M0vFxlTB+rXfIeWxK04d4x6z79yfqPYCMx4jPZ7f158rxgcAJtWvjdAFyzDnADN1bqsB/XjXKop/3dqCd5ydFHL0mTIJ/vXrIC0uAe2GFaa//u7dmbjy9z8WZtuHP/btR73a4xhtaakqJMR5ICCIvYO/fsMbcHW1HnOwfsNk7Nt3HnqOB8Jatari0aN0h1hPisOmze9gwoQeVsclJaU7RJnz968Fpzx2PE4VjRLQAJ5qGW56Z0It5X641ubnQypjKw5ZGgmyNNyWgaJKDwCG0gMAny4dh7w8DT5dyvxt8NG0aRBCQvxsjq9xcpJi8puW/29l5rM/Q1y2FDVU3L8fT0+XYik+wa2am5KX1G3fBv3ffRMAkJP5BL8tW21SegoYPu9DAECrAX1x5LttaNC1I9LiEnBq1x5oOZ5xAaC2dyBgZsRRubKtOgXIZDq0bHcfj+LdkZ4nwSnooBUboIeBYSE8e+c8fFs2wOWDR7D701XITs9Anz4tTUoPADRpEsR7no0b/+LtsxVRJan3JTidtUqlgp+fH29/9erV4ezsmKJuBEEQBKBUMK+xanUuLl0+wxrXsWNjdOrETktdlFYtO9qk9ABAdpYc6lxXHDm0F82bhVlUegAgLdUFKY8tZ57ShXiw2jKS+LeJuWJ8AMDHxRnpiez6bX51QjhGczNxwypB4zqOHIZu4yNQt11rhtIDAONXLxV8vpKw8+dIzvb7d71x7443zp0MQMxdL6hzjX8vIUoPYExCMWVKf1b7ps3v4P6DzUh+vA0tWgj/mzoKX18PQUoPALRpPd3uGcyUbm4IkFh2jxRDBK8c/gQEvy2zPSjdScBT26rPJ9q0ZlhYqPVBZgQGWreQ3sxkW9l+ue/OMdJIQRyardRtx+3m6OzuhohP5vHOq9+pHd749gt0HTMSgz96D8Pnz4TCRYVpP32HlVdOYsyKxVC4qDBi7ky45zEVVIlEx2lZLYqLSz5q13uMasGp0IoNUGdn4+cDhRmH7yXew/Lxr2B6aHt8P+0jPEl+DACoU8df0Ofu3Yv/sxWHyuLqJljxOXjwIN555x0MGTKE1Td06FC8/fbb5OZGEAThQBQK5oNBrjoHiY/Y/uoScXX88uss3qxPIpEIny21PaPTrevVcPFcLaSn2ifI9vA/++D6LOV0ASd++tXiHK4Yn6Lc+JdZw615v548I9nU79QOwVZiMABmXRYuJqxdJvicxeXQoctwdeMuevjwfhVkZ8sRG+OF82cCkPWU3x2JizVrJ+Ha9Q2mOjEdOjQwKRlubs5Y/pnlek6lQb9+rXj7Pl/1G96fvglh3T6CWDQADx8+tvv5P/h1K5x5rDJFcdbyj7ny9xFseedDXDtyDAe/+Q67P+VWvCNXrcO2j+ZjxdDRxZYXAGKznPD7A/ZGxLT3Btm8ljUl5UaG3OSmJzIAUp0IMAB6gwh/xblAz/FM7eZWvM1zT79qxZpnTqsBfbHk5EHUaGgsVNqsd3csOXkQ3QcNZY1t3f6B4HVzUh9j5bCxmN2uB776bCEmTR6M2fPfxKQJ3MlkgoN9ra75ww+HEBVlOVGGrTiJmb9VjUA3wPKGYFe3KVOm4NChQ9i5cyeSkpJw9+5dAEBISAh8fX1x9+5dTJ061WGCEgRBVHbMXd3U6lxoeFwzRPDHuvVvcKY6reZb3eJ56jdKxM1r/BZ+e7H2yyWY+9JeRtvupZatLnwxPgWkPoxnHEt4Mo3qNFpIOKxHU7ZsAADcOHYSW6bOgM4sY5xIbH2/sHFYF0icnKDjSbNtL27cuIsa1RtbHKPVSBB90xctWrPjpg4eNKY+79GjGauvQYOaSH68DWfP3kbr1nUYfeHhTREaGogrV+4XX/hi0KZNXQwd2gFnz95GmzZ1OcdERp7F9Omb7HZOFy9PVAsJxv1LV2HQ6aDTauEbHAh336pQJFlXfMxTIBdw49hJZKWm4+qho7h6qDBOo0bD+mj9YqEL2f4vvsbhLUa3VZFIhNuZTqjjbvvv6vOrXijI23UoQY9w/8JCmw0a1ISbmzOePMkRvJ41JSU51/i3kenEqJ3magrqT1Xm4aYeeKyWYnTtDMac4lh8Oo8agVYD+1ofWAKcdMz/895Vn0KuYLvr/fjjP2jcOAChoYGMdm3WEyTcKqx9dvvOddy+w85wBwASidhiLB4AfLb8F3z44XfChLcBJwnzc2p0lVzxSUhIQNOmTfH666+jb9++CAgwBqlevnwZ+/btw8aNG6FW25ZFiCAIghCOwszVTSYDGjTg9v++dqk6xo7tjiWLf8KdO0z//SpV+F103D1y4OP7FPn5ElZwrhACQ1IQH+sBjcby7eXDWa/BxZdp7UmOeQC9FZckPle3AnKt1HD7ad4niL16HXnZ2ejz1iS0GsD90NSgU3tELJ2P/70/h9H+wrQpFtcvYMae7fhq4lSkJ7Dd7+zFnbv3rSo+APA0U4n8PAlk8sK/7S+/nMDwYcb0wfEJ38PPj118EgBL6Sngn6OfoprvmFKL9xk2rCOreKM52dlq02eyBzUa1MPiDd/DU+wCmc6YrODnnzZBrc5FtSwFpAbrSrBSK0XClVv4c+MmDJs7A25VvZF4+y5+nLWQc/wfn6+H0s0FXjWq4+TO3Ti+4xdTn8FgwG/XdPjA8nMxi/9SFSiarPhSmpKh+ABAQICPTYpsSIjljZFHucYNiqrZckYmM69cObxy5bjj+RTX0nPRyLMwTsarKr8bHBe93ngFvae8ZtOc4iA3U3wKlJ7//rtrisXJy9PglQlrULOmN1avmcSwSDZqVAu7fvkID+4nY9GiHcjIYP7tASAsrAlendgLSqXMVASaj82bHeNd5SQmxYdFXl4e1q5di7Vr1zpKHoIgCIKHoYOZhTjfeKM7DAYVEniysz584Ilt2//P3nmHR1F1cfidrekJKaQAoXeQDoqANFGUoqBEBEREQFGxgSCiKB8WFBVFBRtdpKpUQUCK9A4hhBQILaT3um3m+2NDks2WbEJAwHmfB5Kde2fmZu+We+4553cm0anjGxbHfX1th6pVD8ymSYtEBAFq1c5k4cLfuK/jKDQax4pYGq2BkBpZBNfMQqMx8c+eY9Sq8ZDNvpHnDjJp8kvk5efSpq9lGFrKxcsO7wP2xQ3A7A26eNJx5fK8zEwSY8wRC3uWrrBr+IA51GXt/z4lP8tc68SregDdn33abv/S+NeqybStv3N2zz4Wv/EORp39ROjycPXyou8rYwmoXYu9y1cTscusFHH8xBG6d+vn1DUMBkvD5+0pi4p/j49Ps2v42MPHx4PRo/swb97mCp1XWd6abB1uVJoHuk3hn38ibvg+Pj6+DH/6RTq074pbQDX8jSU5aDVz3Jjw6MskeBQQkuN8WJbqRAIRO/8hYmf5Bd5z0tJZOGGy3fb0tBy+PFOb+p462voXkJiu41huADpRYFSjDDxt5J3oTNZep8u5akI9SjxHMz8cwddfrWfHjlNO/U1fzx1nt+1Ctppr+eblZWC+bS9OvQwPCnVZFse++/YF5n+3yan7Awx4ZTT9QrMI9TCQpVew4bIXKYX2l7XrP/uaf35ZRfv+fWnzaB+UKhWunh6ENLZt3F/HU2f5maPVGnnyiY85c+YyMz8cgSiKTH17CTqdgdjYBEY9O4ek5GUW5wwaZLZWX3/jMR4bOJP16w8Vt9Ws6c+69dPw8Cjf4/Xeu8uIiqq4HPd12oUEYTqwm6YBfkSmWNZ7K+vxMYpVmxd3u+B0jo+MjIyMzL9HwwbN8PGxXJx6+whUD7JfgDAtxYMOHRrSqVNji+OhoZbJ6Vk5kXTpEUPTlokWCa4//byU/o87ro/SrVc093WNo3a9dDQa8xfl4aN/8frEZ5g1+20GPN6BJcvfJDJ6DdPeH8b4V0aSl59LjSaNGP6p5a53yiX7MtbXcRTq5qXVEHPAsXpX6Roe8ZHRXA63HXJynabd7gfMIU/Td6y32+/E5r9sHm/W7X7uKyOAUFF6PjeM+58aTKP7OvLc3M/47NQ+Gt7bgR1/byAp+ZpT1zCV2rUeMfxzCy/gnC/XVWpcY8c9XKnzKoJGo8LNTUv79o4Xp/HxlSvaW5ZP5yxh8OPPEFqrLv4u1sIbSkmwqucCEH7mGE8O7cafW9datT3cxzo3urJkp5r/zvM5WlbH+fBPViD5JgUmSWBtnBdxOdbvj/TEFNZ99pXldQyWy7/+/TuybftM1qx9u9wxnM9OwdXVMm8sqUDFvEhflsb6sO6yF4f/2MQXA4bZvYYCgfQ0d6vjISHOGeCCINC7Rm6x8eatERneIJN+tbJxK6OiV99Tx+stUtm5+Glyc1eRfuYY34+ZwHejxvP5E88wuX13tv2wkKwkcy5Ydmoay956j4n3dOb7sa+iybe8XjW/PBITM4mKusqTT3xM2JBZFqp4eXmOo5/+WDeN9957qvjx0KHd7Bo9S5b8jZ/vUBo1HEtQ4Ahmzlzp1PNji3YhQex5fijito2cenkU+g8m0rCU3L9Vjs9/zePz888/I0kSY8eORRRFfv65/JhZSZJ4/vmKqYnIyMjIyJRPt659rI65uBrw8NTh659Leqp1jZ/sLFdEEQ4cnE1s7DXCwy8x5vm5PB1m6Tlq38EXpdJy9zU8/GK50rIajdFKCSg6Op7ly3eTnp4DRZvHCxduZOHCEhUy35ohvLF6sdX1Ui454fEpx/BJzM0jcu8BmnaxXV8j6bxlTYxvnhnHpyfs78R3fLwfxzb8yZPTbYdZzR0xjosnT9P20T60ecR6jgDa9nuIf35ZhVKlssoZcob7h1qq7ykUCobP+oAZvQcy9sVBdOvyIG++/j+H11i18gBbtm7h2lU1ffs+QY8HXNm521wZfvXqfXTq1JiBj91LbOw1Hun7Pg0bhhB+5luH16xfv2qSyu3RoUND/lg3zSlvVEaG4xBHZ6jb6h4a1nBsYNljw6aVpKYm8ensqSiVKvr0LjF2CwqsQ5sqy7m9B2jQoa3Ntgy9ij8uefNE3UxqlZKMPnjyKv8sXYlCoSwW5tDb8AKB2TPx64q3+GrOOg4ejLJq9w4MQC9aJ9WfzdBSaFJQWGRgh2/fTaCP4yT9rBwthYUq1GoTSqVZ7eDee5vw22+WAiVPPtmFVyb0Jy0tm0kTFxAbm4CrlyeNvK3zGxt66/FQZ/PUqPnkJiXw9Mxp9Gum4NpVb5ITPTEYlPw4bxd+AblMe/c11m/4h+CAEE6v+ZMtc38AoHmzNtzfuRfq9joux11Aqy7xeKvUJtw99CQmZtj9uwoKbOddlub9D4bx/gf2DcPraLVqMjJyq+T1PalLR9RKS+MmYsJoGnzxA5ezsq1zfP5r4gY9e/ZEFEUUCgWiKNKzZ89ype3uVuk7GRkZmX+bXj2sFYA8PHQIArRodY3CAjVKpciBfyy9OcmJXlQPyqZ+/RAaNAihoEDEzc0yt8a/uvWX6vgX55U7poZNkunz4LucOhXHhAn9yc0t5JtvNjrc8VSq1Uxcu9Rm25WISIf3UysVqJT2AxW8XMwLlKTYOJuGz+4lv1odMxmNpFy8TECdUJvXbNChLYH16tCiRzertr2/ruHiSXPl9NPbdtH64b00797Fql9oi2a88NNcGnYyx/0nxJxnxbSZThc71bpZ7wZ7+FajVvOmXDx5mo2bV7Fx8yrq12+Ct5cP4WeOMX3aV9zfuVdx/yVL9qAQPPj4w7kAdOvShxYt2jH325kYDEZeffUHXn31h+L+ERGX6dXzHf7aNgOlUoleb+DpobP5dcUk1EV5Vh4ermi1anS6myPi8OFHzzgdgpeV5Xxivj0GvvhCpc775df5bNte4jX74afZFoaPaEPCTKVSYzRW/HmL3LO/3DyzPQke9KmRg1YpcTDZjYioRCRJYteiX9i9eDnvbP2NRO9qgO33aVhYV8LCurJ371n6Pjwdz5Aa5KVnkJOWzpPPDaCJj/XCPjyjREHySkQk5/YeoEc3x6IDAbluHNpbD0EQadn6GtX88qnduC5QYvi0bVuflatKQv+aNw/l01lreenNIXavG+xmZPdK8ya8JMKev62N2bQUD16f8BNPDYkiOMjsEf/muw/Ral0YM/pNAIaGWecPububP3MdbQpV5Vr49Cn7xUsryqDmtgVB3u3RmTF/bLEyigymuzPUza7hU7duXYePZWRkZGRuPgqFkmefeYXg4JoWxxs2SUIosgEEAVzdbC+ios4GEXXWvDPfovVVHn+sO4dLbahqtYbiELXSOKoWDhBaNw3/6rns2HEKSZJ4991ldvu6enkxeNpEq5ye0mQlpRAfGW2zrYaXB6vCBtKhpuOEai+tOfzGnsDBvl+tw5AAvhv9ssMwtrfWWRtMAAfX/FH8u1GvZ8Erk6jfvg3ji5ThSnPd6AFzbaEXfprLR30HF+cP2UKpVjPsk/fttj80fjTfj321+PH58yWGlAnL3Vp3d08639vD4tigx0bQ+b6enIsKJzb2LEeO7iU6piRPZufO0zRqOI5GjWpw5EgM6ek5pKXlEBRUEh5Tv34wZ8+W76mrKFqt2qbanC2io+NtFlytKHXqNy6/UxkmvjOaY4ctq/NmZFguit3dPejerS979m5FFEX6PxrGuDFvISHx1tujiYx0Lq8GIDH2Auf2HqRJl3vt9kkuVLHsfMkcFeTkFP8uSRIz+zzOe1t/45FajhUSu3RpRk7uahZEVcPPxUivkDw8QyKTQAAAIABJREFUbOQQ/X3Nnfd6DKBW8yYoVCrO7t6HaDIRUN05ZUhJUhAVGUin++OoHmpZw2buN5bGaIMGIfzwo/MKwmk2wulKc93oAXh5/DvlXs/NXY9ebyjX2J/wyvcO86CcpSoL717LziXEyzoyYGSbFpxKTLYSN9DfpaFuco6PjIyMzG3MA90eYsSwFy2OFRbmE1wjy2Z/e7VdAM6crMnh/ZabWGq1tdHz/vRfyMmxfx2AxOR9qJQDndrdfHL6ZIdGT05aOl+E2a80P+eRXuUaPeA4/+eXt98n7Wq8zbbs5BSWTZ5OQXYOhXnOhSXtWbaShOjzVsfPHz3BrAFP2TjDEldPD1o/7LgA58C3XqVVn5522xvd15G6bVtZHPPwrcZzX39K015dLY5PmfQJ3bpaC04EBdage7eHef65N/j+u98Y/rTlay0uLomtW4+Tnp6Dj48vqamWRuWZiG9xdXUsflEZevVqVX6nIqZUgbSvSqPB28s6pwesjcjSlDV6AERRRKez9KZMf3cOG/84RqNGLXjjtRm4u3vg4e7Jd1+vslJrtIe/X3UGPz6SYz+s5Mfxb7Dxy29Z/cEnRO07yOltO5nz1HMYbIho6POt38sXToZzKdex4XOd5xpnMLB2jk2jB+CDZyaRnZJKxK69hG/fhclgQKPRMu75iRb9tv71u9176ArVFBao0bqU5A4pFAradbDtpXCWxPiKKcWVh5d3Af+bsaLcft98s5H69Z7now9XMfuz3+jQ/nVWrnQsbhEdHc+wp2djNJoQRZEB/WdUqWR8WTGD0nzRtycPNqhjccxwl4obOK3qFhsby4oVK1i5ciXh4Y5Vc2RkZGRkqoa2baxDti5fiUIQbO9kNmmeyJEDznvoVWW8PevWHWRGOV/s1xIPMmzEJKeuH9K4ocPFu9Fg4P3uj9ptd1WrGNjUubwLl6KaPRoX68KtJzZvc3juic1/Eb5jN5LJxAs/zaVeO/vehj3LVrJulnV9pOskx13ij0++5LEprzu8Z+8xz1KQnUNWSioXjprzJtx9vOn5/DOoNBruf8qxkhnAy4vn82ZL82tEEATe2fIbGlcXDLmV260dPeo1tu1YT1KSpZH42oT3Gdh/KGmJEKXIokGjZJQqs9E7cGAnVqzYY+tydgkNNUv2Xr5su7hovXrl5w+9+cZPzJ27EWM5EujO0DlskE15aqMg8vKU4XS5vw/D+z1r0fbu+/ZDzrRa69egq6sb339r7XX8c8MJHhnQ1mEukLubB9/P+x3famZFxm+++4i1C8x5cgfXlITZTWnfnadmvmtRCyj6wGGr610KP8uh5B4EuWajVUpk6hTkGhXUdK9YDtpXczfxz45jVsdHj3rN6tiJkwfp3WsASqXt+kcGgxIvTxc2bn6fR/q2K/feOdlajh+uXfy4Zmg6Hp46PL0Kib9SDYVCJM1G7mNlEQQJ/4A8/vjjoFP94+KSmDatJKx3/bpDhIV1tdn3xx+28Mor36PXG/n1191VMt6yxGfnlN+pFP85cYOyxMXF8dZbbzFlyhTOnTtXbATFxMSUf7KMjIyMTKXw97OupZOcfBloarO/rcJ6joiNuUCrtuYd+4ICHU+FfVruOXEXnFMSA2jZ6wGH7dvmL3DY3smBpycyOY2m1UvylZYP6c+Jr5LQ5Vvne0hOhEJdl5y+Fh3r0PCx5ekpyz+/rKL32Gfx8K1mt493YECxst2+FWtJuXjZobGUlZzCobXr6fPiaIvj/Se+QkDtUIv8okwXPSG5zksul2bFsr/RGXTsO74bXWEhhvwCBvQNK25PvOZNRrob97S5ipu7gcaNHRfELY2rqxaJjVy8ZJ73777dxMsvz7fq5+FhbTiA2TD/dNZaTp6Mo6Cg8hLhZWnX72HUNhL+p8+fStTRY0QdPcbqBfN4/72vad6sNTt2bmTf/h1Vdv/ZsxbwxVfTuXAhyqYX9ZG+TxQbPQAvjpvMmYjjREVbb0T/8ckX5GVmElA7lNPbdnL1rLVIwckt24mf/Bo/R1fDRSmRpVdgrvUj0Tskl5a+5T+3hyLTeX2C9dwBdLeR33Mq/CgX4qJo2KCZzXOMBgXPDXYuvBHg7GnLsLirlysmyV4egiAilTKG23S4zKRJ3xMRUbnQztWr9/LL8hIv2IED5+jR/e1bVgurrHhBedyt4gZOPwsPPvggISEhvPLKK6SkpDB9+nQiIyM5duwYEydOpFatWjdznDIyMjL/SWzV0Dl2Yovd/tfVkZzlnffeJ7D6cPz9nsbd7Qmbseu5uekWj/9Yv9Gqjz3q21Gguk76tQSH7e1C7O/877tsXc/ig55dOLp+s0XOx84F9vOPbHFur+MdXWdFCaY/8AgxB48CZs/W+s/s18C7/6nB5XqIZvQawIHVf1gd7z7yaStRhUKViEFR+YWLVq2lZ6c+9H1ggIXRcx1doZoLMWavTUAFCk+OGtXL4vH4lx4tLgJZGnd3a8Pn/PkExo75hgMHzlWp0QNQkJ2DRrRcEq3esYL9a0rCs7JzMnlj0jM89Og9fDp7qsMwz/k/lL+BUJpmTVvz0/x1/Pz9etRqjVV7nwcfs3isVCp5fGCJKljpz4nC3Dw2zJ7LglcmcXS97TpLOalp7F2+Gp1JQZZeCQhE7j3A6W272HHNOS/Je29+Y/N4rVr1qF4mv2f/gb9JTLzKp7On2r3etau2Qw1tYTQqKCx0LlSvNH37t+bhfq149Y2n2X9gC3pDKgjW8xgQmM2BI7N4oHc03XpF80DvaObPX85XX9nPBSx/zCYUQn+6dZ3MQ33eo1vXybfM6AHQ2PG02eM/7/EBSE1NZd68ecybN4+goCDCwsIICwtj1qxZfPLJJxw8eJAuXawVbWRkZGRkKk6njt2sQt1emhBG3XoV/8K3xZa/fiM6+ky5/T75bBofvDcXpVJJ5LlTHD22z2H/Gk0bUbdNK7yr+1O/fRuHfe0JGlynuoftkL6YtAwKbEhDD2nZhI92H2DFtJl0HT6E5AsX+XuBbRU5e5z7Zz8FObm4elovAI9t3MK1KOcjHeaPeQX3aj4U5phzYwZMmlChsVzn9PZdAGSnpLLjpyX0ev4ZxycAOqUJteh4fzNHY8BTX7nXU2aGWW3Oz9/L6XPGv2Qd1ti1azNOnLD0opX1+Kxff4jhwz4nN9dx7lllcdG6UK3QcpNh/5+VL85aGcU2gLp1G/HX5nAmTh7FseNmFRIfH18a1Lf28LZsaRbMGBo2hpEjXkalUrNx00rm/TALna4QtVrN8KdfpFZNc+hr06atCAqsQVpaMt99/wnrP/2a6INH8KtVg+Mbt5KbXiLR/Jq0weE4L15O5e+/rEPcALreb5m7Fn/tMu+8Z84diz0fyaAnOzN82IsMemyERb+0VA8MBgVqO7lEAKJoluk/G+6ccEJpDh7aRWGh+fVzOvwYp8NLxt+jRzvemz6KFi2qcfFiMiNGfsOJE+eZPn0Zbm5aCgr0VaZeuHev49phN4uy4gXlIRcwLUNiYiJfffUV999/P2PGjCE3N5d777WvMiIjIyMj45j69YOLC/g1qN+Uj/5nHUaSmZmGm5vlAm3Nmn00qD+GmJhrFBbqyctPdup+GzY6Vwxv3/4djB7bn8lTxzDhdfu1Jzo+3p/Pww/wxqrFPP72G/QcXf7ivGxdnbK83rm9zeNH4xPQ28ntOPnyKAYV5DInbBTL3/6AQIXAjF5dGNW2JYqyhYdsIEkS0zo/yOzBIywKnO5ZupIV784s9/yy5GVkYjIaMRmN/Pbh7AqfD3DpZElI07ENf5bb/8DqP8gT7XtFoqtlcyIwnRjfHPJVldt1NpmUmIwCYWFdEaUNiNIGxtkoaurh4UpgoHk3X7Dx/F9vu06/fh149TXLoq+bNh6ptNHTonlbhg0dR6NGLazalCoVA956lXaNrF9niUm2xTCcobzNgQ/+Z50DU5rZsxby4rjJTHxjJr+vPmCzT0hwLXZui2Ls8xPRal1QKpUMHPA0Wzae4v7Ovfhr8xmeGf4SPbo/Qo/ujxAUaA5J9POrzrtTv2D7lggaedVmz5IVFkYPwOEjsRaPP/pwFQ3qjyFsyCygKR3bvYrJhkfguWdfK5aDvk5pqW+AjMw05n47k9lfTLM6PzPDdnjmqC9O8fUeHfsP1ubUsVoY9BXatwdg2XLbYXkAO3ceo0f3lwnwH0aH9q8XG+J6vZHMzLybJtl+K1HJHh+ggh6f0nTt2pWwsDAGDx5MQEAAmZmZLFjgOFZbRkZGRsY2kyc/wYcfjUChUPDqhB9o2expFArrL6qGjfws6lqAuVL4hQuJNG40Do1GRcsWHZk9a6HD+xmNBs5GnnR6fJcun+fSZfu5La0f7k3YDPthLLbQ2VCbKk3bEPsFED/efZBJXTvZbZ/UtROLT5zhYmY2W0YOoW41czjW9wMf4pk1G1kRXn64WkJ0LF89PRqNqwtGgwGxCpLo96/6nfYDHiG0pe08B1tkJaVw8LeSEJukCxcd9j+9bSdrZsxClWNg3CPj0BbmIAkCeq3Zg5XmoiNdzMWYrSfyn/34d+1HqNHSa5MjFuCpsKwfJCKhwNJw2burIV17xKAoCrGcN/8lsrLyWbFiD+7uLuze8wlt21qHspXm7alDqBUaQM+e9xAS4mezj6PaUI7o0L4Ln35sLsD+/HNvkJBwFYPJQGjNuuyLPUhkVhwd+j5MzWTrBXdZgYeKcOnyef7cspa+Dw8mPT2Ft6eN48rViygEgbx8s/cvYH4g41942+41hjzxXKXvP/MDa0l1W0x4+V1SUhPZu2+7xfF331nCho3votGoOX06junTf8FkErlwIZFV1Cc11SzDHhJcizdfn0nt0HpEnD1hUznwQpx1jhHA9r83MPENy40Eo6FsEU34K9oXt6gc0tIuY+rR0qm/qyzfzvuIiLPWhVf/S9jz+CTk5HLwyjUeb2apoKdVVcxQulMwZ7I5SadOnQgLC+PJJ58kODiY3Nxc1q9fz4oVK9i6dSum27jYUelYXFs7TrcaSZJui3HIVA55/u5sbrf5U6mUpKYtx8vLvPiSJNizw1rGtaAgj4f7Wy/GZn/2G2+9ZWnozJ61kHZtO1scW77iBx4fOIyzkad46+3nEaswlOH1lYuo2cxxHZSfXprIc3M/RVH0Bbzus6/Ys8S+gtwfwwbxSKN6Fsfy9Aa8hoxA2ao9G0cMpk8D+wp24zf8xYX0TLaMtC52+MBPyzlwxXmRhqomsF4dBIWCV5b+gEuZcL7PHh9Gu34P0bxHN6L2HWLnwmVkp1jWhlFptUz6fRn+tcz1nSL3HuDcPwe4cOykRSje/jnf0j7L7FW7FtyCrUofJkx4Gl1eiQCEn191Fi3YjIebJwDvf/IGu3dsAqBJ89bc26sPiSnx7Nq4jl/W7sG3jKJg0xYJVA+yVIxSCP35+OORTJ7yxI08TcU8NnAm69cfqtA5des0YsGPjkO27BF7PpIxLzxWfsdy8PauRmFhgZW8NUBQUE1+XVp1AgmVJTUtmSFDu1nlLDVoEEyDBiHs2hVOYWFJ0dLrn5/16zfhp/nryl7OAqPRwCMD2mAw2PaYbN66BVdFyXu4QeMkatQyS/VvvepB5jVvgrId1+KZMfM1zsdFseCHjRaKcY89cS9ZWRkOzvxvse3ZMB6oW5KP/8iS1USnZpCQm4vBJLJh+GAeamiei6xCHTU+/Q79bbyut0d5632nPT4XL16kZs2aFBYWsnnzZlasWMGmTZvQ2dCMl5GRkZFxnmbNahUbPQB6ve2dNl9f27kYKSnWNX1iYiOtDJ8ff/6cH3/+3OlxCYLgVJ0e3xrB5Ro9f3zyJZF79vHrOzPo+Fg/rp6NYv9K+3U9ACujB6DDvMXEzDRLSdsLdbtOi+oBeGisE8UBdj//NH0WrWRX3BWH17hZXPfazHxoEPXbt+Gpmeawn23zF5AYe4FNc+axac48u+cbdTo+fuRJu+33BAZQ28eLe9JjoWgxGJJwhlHA996eHC9l+KSlJTPkqQdo2qQlUdER5OWVGDHnIk5yLqLEM7jv6E76d+hnca+8XOvnuE6dQJtGT1amC+ejqyMIEkEhWQTXsF/AtTTnzl0lICCI1ye8T0BAEMuWz2f3HvsiHyEhoZU2egA++WxKpc8tjaOFd2LiVWbMfI33ptmXRr8V+PtVZ+rkz9i8ZQ0nTpYIe8TGJhAba1t8RKFQMvfL5eVe+4mnuto1egBUaqDU21gsykn784oH57JcaFuO0XPi5CF27jaHfr719nMMenwkCQlX+HnhHAoLrdUd/8uUVXXLNxi5XKqA8uStu/DSavBzc+WdbXvuSKPHGZw2fE6fPs3UqVNZt24deU4WeJORkZGRKZ8v54yxeJyfZ3ux7uJqewGRnGxt+GRlpdvo6Rw+QYE89/Wn+IXWYOeCZWz/YZHD/nXa3OOwffuPi9m7fDUAxzdu5fjGreWOoZGfbRno1FLhcV8dOEa/Jg3sXqNVUIDDL++/ng3jp6OnGL/BcY2fsrhr1HhpNSTk3Ph3YUF2Nmf+3s20zlVXuyOsRRMWD34UhcK2V3Pj8ME88POvBHt64KpSsf9KPDkFeRw/UX59kq8/mEr/jZaGj05nvZT4dYV1nafkRE8iz5QkpWdnuZKW4kHzVtdw5IB9e8pi4q9msXFdSTL622/N4tjx/eTm2jacuj9gLafsLCdPHeL8eeeU+26Unbv/LF64A0yd/BkP9h5gs+/kqWPo03sAvXr2r9A9fl+3jDW/LSYrM528/FxCgmvxyxLL0LbevfrTu1fJdVNSEnnvg5c5F2Utly1JEi1btMXV1bFR0rd/m3KNj6x8A/6lUhZFUWBPghuLF25j/cdz+HOD/fA0k8nEjz+X5MwdP3HQqdfwf5WyoW6GMp+NZ1PSeODnX2/lkP4VKhTqdicjh7rJVCXy/N3Z3G7zJ5ZRUEq85kXUWWsZ57oNUgitY72D3LbNq5w8ecHiWK1a9ViyoGRBFXH2BC+/+lS5YxEUCmafsk7M/mHca0Tttw41qhYSxLStlp6bS6fOsPK9D6nTuiUXjp8i5WLF615EvzaGOtWsZZI102cXz59CEPiwd1fe7NLR7nVWhZ9jSMsmDu/l++FX5OqdS16e1KUjHz7YrfjxhnOxfHPwOD4uWv6MiaPQhtLcrSZpystUc7VdB8cea85EMe/wCf65ZC0RXpawMS/xwpASdTqfavm0amf/vPQ0N9JSPOzKFbdqdwWfatb5XnO+XMeUKYsAJVs3nbZq/33dMuLjL+Hl5YNW60KnDt3QaF3w9qqGu3vlClcmJV9j9Jj+xXk4txo3N3deHDuZnj364ebmzvETBzh+4gArVv2MyWQksHoIK37ZWdx/954tbPpzDRkZqcSej0SrdWHJgi0WctKjxw6wyrMZN+YtnhpiWQ/KFpcvX+D1Sc+Qnm4uNOvtXY2/Nh8nP19v9xxRFBk28kESE8t/LX3w+Xy63dOj+LHBK5+LSiMZf4cTHBBSrEhni6eG97yhPKz/GodfGEHr4JK8yY7zl3AywTkhnDuJKgt1k5GRkZGpetRq649hg8E61M3VTU9wiLVnZ953m62MHoArVy6w6c/VPNr3SfR6PStX/2zz/h0f60fY/94pd5xjv5/DlA7dMRSaw5sbd+7E2O9th+ic2bmHpAsXy03Cd4Qto6csoiTx9rY9vL1tDz4uWsJaNmVuP0sp3YFN7XuErvPyvW35ZE/5+SOh3l4WRg9A/yYN6F/K69Tqm4VEpqSVe62bSUWNHoAnWjTmiRaNOZmQROcffsHooHjhpQuWct6ZGW5IEja9NtlZLoSfqOnw3ocOZLN46RxOnYojP19HkyY1OXUqjsREs5Hfq4e1UhzA4wOHl/NXWZKp1eOhV5HmqsMvV4OqjHjIpCnPlavGdrPJz8/j8znv8fmc92y2JyVfo8eDjVGrNUiSZCWbrdMV8uzzjzKw/1BCQ+uxa/cWm+ICZ84cAycMn9DQeqxduZe8vFz0eh3VqvnZNHr0ej17921Dq3Xh93XLnDJ6AM6fOmNh+Kiz3WgI0OZ+h+etXrNQNnoqSNk6Pneralt52DV8TCYToiji5uaGwWDAZDKVG+stSRJqddXUl5CRkZH5L9CsmXXx5+uFIa8TGJxFo6bJKBQln8GrVu3l9dd+JCHBfkjb7C+msXrNQnLzckhLs97Z86tZwymj5zqfHNlFYuwF9AWFDlXJjqyrfP0TR7y80X5IWmahju+PnLQyfLSq8vf3ZvTqyhf7jpYb096jXmi51zr18ih6L1zJnov/Tu7QjdI6OJD86W/Q5ttFRCSn2uwTddI6/GjPwVDat0zE3cNyUXzlou2QxdK4aJozbvSPfDTrLbZtX8elS+bXqqurOxNf/x89e1jX/qko21KPsOyjjzAZjSTHXaJuaEMGDRxOtWr+bNy8kn37d1gUvb3dMRjse1wKCvJYseonh+fvP/h3he7n7u7h0Is2+8tpVrLVzpCX41yO13UKCvL5a9sfLFo6t8L3+q/jWmZ9rrsNvNP/Bna/EWbMmFG0m2C0eCwjIyMjU3W0a1e+R8LTq9DC6PFwf4L8fOeEZRxJUHd4rOILyqAG1oIDpZnz1HPkpN6Yx0NlQ3b17wuX+OHIqXLPXXQ8nGfb2pa8TcrNo/bs+XzS5wFeK1MfqGvtmuy4cMnhtVsHVy/3/gBf9u1Ju3mLnep7u7IybAAt5touUZGRlmJ9MM+Fowfr4O6ho02HyyiVEiaTQGqKp9P3nDr5U958bQbLV/zAL79+z+b1xys7fAvSXXT89u03FjWZoqPPVJmAwZ2IJEkMf7YPsz78ER8fP1atWcCFuCjat+vCwP5DK3SthISr7Ph7Y6XG4eLiWn6nIh5/8j4yMyufu+gsT9/TlEHNGrHr4hW+OVg1r8F/iwFNGjCxS0fc1epiSf/rJOX9N8Uf7Bo+H3zwgcPHMjIyMjI3TlnDRxSt44U8PEuMnFHPznHa6HGEIAg8OG7UDV/nOoZCHcsmT+dKROQNX8tdYx050HfJaqfOTcq1LziwJSYOUZKYe/CYleHTsWawQ8NHq1LyUqe2To2hZVAA+g8mci4ljVc37WBnXMVznCqLp9a2MMalzGwe++U3hrdqRufQGvwVe5Ht5y/Sp0Fd3u3R2ap/I39fIl55jq4/LSe9wFqK+eLl89QJta7Pk5erZe/OhjzQO5pLcb4VHr9W68KokRMYNXJC+Z3toFOa0JrMYT0x1bLJ0RhJjLEOB/2vEx9/ieHP9rE4tnffduZ8/T7fzV1N0yaORUtOnT7Cx7PeIim58rLwvtX8nerXs0+TW7L53qFGEIsGmzeEBjRtSEpuPivP3Bqhi8qiVSnR2VC4bFHdn5VhA1Da2EjK1enJ0dn3Gt7N2K5mJCMjIyNzS2jTth6FhSrORQRy9bIPx49Zx8Z7eZsXnnt2h7Ns6U6r9oriVT2A2af3223ft2ItE+/pzIIJbxF/Lrrc6+1atJzZg4dz5u+qUSbzKGP4xGfn4OyaJ8VBUdRVRUVLr2Tl8MMRy+KtH/Tqwvs97ecVDG/V3LkBlKJJgB9bnx1ChxrWQhU3Cx8Xrc3j03f8Q0RyKm9v28MDP//Kh7sPcOhqAv/btZ/mX/9spfAE0NDfl8QpL/PTYw/jUiZkcMy4gQ7HkZbizpWLtouRxnnnkuJauYKkaS46jgelE+mXRbbGQJZGT6RfFhH+mZyqnsHxoHQiArI4HpTO8aB0crRGNn89n8ykW5fEbctjeafxy6/zHbbPmPkar705/IaMHoCMcjw4BQX5vPnWyFsWcTSoTBHPpU/2s9Pz30etVLB++GAy33mV9cMHW8lVD72nqU2jB+Bqdo7N4/8F7Hp8RowYUakLLl26tNKDkZGRkfmvERxUm0N7zeFjSQkAJeFUGl0e4sWTjJrzIxERl1nS/yEKpr/Bydx8PruaxB+/bywWG3AWQRCYvmO91fHoA4fZt+I3CrKzOX/UnMMRsfMfInb+w+fhB+xeb97ol4k9fMxue2UoW3snz0nFNYA/zsYw++EeVsePX0tk2/mLxY9/PxvD2A6tLfpMfeA+mgX4cTIxmS0xcRy/llTc9lTLplZjavXNQlLy8/HWark86UW7YxrXoTWZhYf45/mn8XVz5fO9h/l4z0Gyndhxfbd7Z8Z3akOBwcg72/awKuIcJtH+IrCai7WwweDlv7Mhyn7IY0xaBi3nLmD7qKeo6W0dmvZMmxY806YFOTo9b275m2Unz2I0Gvht/TIGDbAtMHDmVA2bx/PURjJd9GS46NGalHjpnc8LvuidS7qL+TkrUJuI9S1ZvKXHJ2DQ6Yg9fIz87Gy0bm5cDT9Ly8QE2rq5Eu7uRvJNDu3xdXVh7dDHuL92TSKSUmk7b5HTBvvtxr79O3hpQhh16zRk34EdZGdnFRc8liSJHg/+Wc4VnOPPrWsZPeo1q+NT332BQ4f3oFAorAQcbiaN/a29lIJA8Tx6aTUMadmEPJ2BI/EJXMjIwk2tooFfNeIyssiq4OfxjfBsm5Y8XFRw9OGGdXmpU1vm7D9a3N6rfm275y45GXHTx3e7YlfO2mRj9+e6xV1WHq60Ja5yIpH030CWs5apSuT5u7O5XeZPrVYRfmofCfHWMr9ueWm0iNiE2qjDYDJxMTObhjZq23zn4k6kuwcxJ8LZvXg5kiTh4edLblo6oslESOOGvLlmSbljWT51Bsc22F7M2DN85j//CjGHjtpsuxEmd+3E/3p3LX58/Foi936/rPhxefOn/2Ci1bF6n39vscsZ5OHu0FgBWBsRxbDVG2lfI4i9Y4ZZtD26ZI2FIeXM9UqTll9A869/thlGdp3BzRrxa5h1TZdXNm7n+zIeq+t0q1OL7aPCih/vvXSVngtWODUmHxcte8cMo5GNxV9pDl65RreflqNQKFi+dAeB1UOcuv7egkjik67wv+HP0blHd57/7nNcFRoMCgmJ1lc/AAAgAElEQVSFBMG5rgTmW+d8iEicqZ7JhbMR/P3zUq6EnyUnPYM6rVqgyy/g6lnboUgf9u7KpK6dAHMI5KNL1nA6yUZ+UilcVCoerF+bCxlZxeIOg5o1YkTr5mTrdMzZf4wTCWaDWCEIBLi7MrFLR169r73N6/VfupatsXFOPT93ChX5/PR20ZKnNzhUCWzXtjP/e/8bXF3diYk9yzfffcjp8Kr/XHGG+QP68Fw76xC/pNw8Xt20gxm9upT7/jiVkMyR+AS2n7/E+nOxDv/2G8HW5xzAsfhEVoRH8pmNDSAAxf09UfV+5KaM6XagvPW+XcMnNNRSvcbHx4fFixeTnp7Ot99+S3S0OfyhcePGvPTSS/j4+DBy5EjCw62LXd0OyIaPTFUiz9+dzb89f0qlgm++eYGwsEGcOmat6oYk0ebkGtwKMp2+ZqqXF7tbt+aaf4kinNFgQOWE0ubBNetY879Pkex8Qfd9ZRy9xz4LgC4/n/89+BgFNzFUYv/Y4bQvFR62Keo8jy8vqRVU3vxN73E/73S/z+KYZvpsq34bRwymTwP7dUIATiYkkZpfQO/6dYqP7Y67woOLVlr1DfRwY+GgRyz6lsfnew8TmZLOr+FnreRl/37uKbrUti8FXf3juWSW2WEe2KQBq4c+Vvx447lYBv36h9Pj8dCo+fKRXoxs08Jhvz0Xr9B7ofk5CAgIQpIkVv+6x27/hYu/ZsmybwHL+XOv5kNBdg6iyYRSpeLxZ0YzsP/TeHtUI6MgE4NBz+9rl7JpecXFIuLeHEcNL0sPVvOvf6aGlweRKWkk5Vp6gDRKJfvGDKOVEyIWiTl5BHk6LuBZmqiUNOYfOcnvZ2N4qGFdJt7fAX93N0b9tplt5y/eUdLCznx+KhUC3/Z70MKIcGSw3y4sHvwIQ++xr1hZUeKzc+g4fykpVextfKplE5Y8UfEwvKEr17MmIuquXr9U2vApy4IFCwgJCeHhh23r6W/dupX4+Hiee+65yo30JiMbPjJViTx/dzb/9vzNmDGMd6Y9xZ4djWy2u+an0/bk2kpdW69SEVGnDudr1CDBr/zE4T3LVrJulu16PEqFgEmUUGm19Hr+GfxDa7J3+WounTpTqbGVh0IQ+OrRXowrE4I2ZMU6/ogsqR1T3vzVreZN5ITnUSjMfebsP8pbW3dZ9dMolYzv1IZPH+peoXGO/v1PljoIFanu7kb0a2NwsyHSYI8zSSmMW7eVCfe1wyiK/Bl9gUWDHkWldJwv8tTK9fx2tiQP69m2LfhhYMn39NKTEYz+vWJhSSqFgq0jn6RrHRtGeRnqfj6f+Gxzsc+hYWMY+3zJLrRLYTbVk6Mx6AoZ9tG7HLtqzge5Fe+/QA83rkwaX26/DvMW06t+HTw0asa2b011D7ebOi5HxKZlkJpfwJ/RF1gXGUPvBnXI1ev59XQkBQYjA5o0oFPNYFLzC1hwPNwqrEqtVDC5ayeG3tMMtUKBVqXkj8gYTiQk4aZWM6RFEzqH1uBkQhK/n40hKjWdv2LjnC7eex1n5m/YPc1YONi2V2Hqtj3MP3yiwve1h1qpoKaXJ/fWDCE+J5eo1DRS8wswiRJqpQJ3tZrhrZvjolJx+GoC+QYDcRlZpNnIB/xj2CAeaeRYubIyZBQUIgDZOj2hPl6IosT3R08Sk5ZBfFYOEhDi5YHOaOJadi6FRiNBHu4EeLhRYDASlZrO653b82hja0ERZzlwOZ4HF61CZzTe1euXKjN80tPTeeedd5g3b57N9hdffJGZM2fi52c7mfHfRjZ8ZKoSef7ubG7F/AmCgCRJKJUKmjcPJTY2gfx8HZ6erly5uojC/EAizwRbnbdt5wYG1qtFm/gjNzyGqFq1+KtDR7vtccdPMX/sqxh1lguoutW8WRU2kHq+Pny5/wgzd9nP8akKGvv78mjj+nzS5wGrtkNXrtH1p+UWx5yZvzHtW/HKvW05l5LGSxu3O9xxbV8jiP1jnSuGKYoSobPnlZsv4qnVsCpsoMM4+1vBp/8cYtr2fyp8notKRZfaNbicmY0gCHzT70EeqGvbEFpw7DTfHTrBY80aki+oUbXuzcAeD9Pq1O+oTNZ5TELrDkz+dDYHLsdzOD7BYc5SZXG08L4TMZhMqMsUoNwcfYH0/AJ83VxpGehPLW+vG7rHz8dO8/3hk2QW6riWk2uzrpWHRk3mHyu5smOrhTctLb+A7ecv4uPiwkMNHXtRy5KQk0u/pWsIT7JdN8oWbmo1Cwf15fFmtjePnOVCembxGI7EJ1qpPd4NxGfn0GfRKs6nZyJK0l2/fqkywycjI4OlS5cyYYJticlvvvmGp59+Gl/fistX3gpkw0emKpHn787mZs1fvbqNCQmpxf/e/9bieMMmSQRUzyEyIpiMNPvhMRFeqejcFLSOiaZrFYUNb23fAYNKRaOrVxAVCna3ao2Qm4fPilXU1Ot4f8c/7L54xSIJO33qBDxKySJ/vu8Ib/9VNYptZRnZpgU/PmY7kgBg5q79zNhpqUB3M+avlrcnX/btSdPq/jZzqa7zz8Ur9FpoHeZmj8eaNmTJ4EdxUavotWAFE7t0pO9N2FG2x7NrN7H89I1LjAPsGj2UzqG2RQtulJi0DKq5aDmdlMLR+ER2x13hanYO1d3dUAgCbUMC6Rxag8b+vjTy92VleCRH4xPJMxjQKJXU8vbCW6vB382V1PwCnm/f6qaM0xbx2TlkF+ppWv323Pi9UXJ0ejZGxWISJYa3rri6obN8uf8ok8t4ZjVKJd3r1qKRvy+uKhVNAvzI0ekZ36nNTRuHPa5l5+KqVlHN1Swg0vbbRfi7u5JvMHImKZVhrZox9J6mNAvww9fN+fpEVUF6fgGeWo2VcXwxI4u+S1ZzPr0kbPpuX79UmeGzcOFChg0bxpQpU5g/fz75+ebdLjc3N1588UU+/vhjfvnlF0aNqrq6EFWJbPjIVCXy/N3Z3Iz5e//dr3igm/0FfHlc88gn0cOc6N75TDjtom3LSM89f5k3l6ziofs70qZBXQ6dPMPWQX0rfV+AAoOB04kpZBTquD+0hs1aMPbCxW6Edx64j+kOJKQNJhNtv1tMVKql5O3Nfv/V8PLg7ITRVpXOAe79fqmF2ltlsJdA7YhP9hzkvR17+aJvT16+17l6QiZRpN4X35OQY7+2UUV5+d62fNG3Z5Vd73ZnU9R5tsbGsfpMFB1qBFHL24vWwdW5kJ7J1pg4Mgt1xOdYy60LAhx54RnuCXKu6K3M7UdEUipzDx1DlCTWRcaS4UCIpCxDWzZl8RMVLxBdUXZeuMxbW3dyKrFEtMNdo+aewAAuZmbZfO/f7euXKjN8vLy8WL9+PV27dsVkMpGYmAhAUFAQSqWSffv20b9/f7Kysqpm5FWMbPjcWj766Bkeergtv/92gJkznd8dvVO42+fvbkYQBGIyU3m07yNE7T9Ubn+Nqwv6oi88N28v6rVrQ9029xBQJ5SA2rWoXrc2HnoVjdIrH2ZiUIho0w/S8sIFMj3cqZlqO+Tjk4hopq9eb7XICnB3Y9OIwbQODqz0GJxhz8Ur9Fu6lkKjsVLntwoKYGSblhQajTzcsC4tAgMc9h+5ZhO/hlt7K27F+08hCAxt2ZRG/tXIKNShVSr55tDxCklrO8JFpaLQaGREq+bM6N3FKgm/NLk6PW2+W8SlzGzAHOaTOe3Vcu/x0oZt/Hj0VJWMtzSPN23Iyqcc1/G53eg4bwlJeXm4qFRIEix94lE61bKtRrf30lUeXLSySkLwVApFsaqXQhDQKJVISMUFJwM93HjtvvbcF1oDD42aPL2B+6rYq7bsZARqpYInmjdGqVCwKvwctbw9q/w+ZRFFiUUnwnlt89881KAOiwY/arM48e3KM2s2siK88sVLXVQq7q0VjJtaTXpBIZkFhfRpWJfXO7cnMSeP+OwcPLQaBAQMoomMgkL0JpFgT3e0SiVZhTr83Fzxd3MlyNOjeEPqnW17OJGQxNH4RCtxE2e429cvVWb4XGfAgAH07duX2rXNccuXLl1i8+bNbNiw4cZGepORDZ9bx4cfjuDtqUOKH4cNmcXq1XsBcHPTEhLiy/nzibesINnN4E6dPx8fdzw8XHF11fDss70IqRHA1SvJbNlynH37zv7bw6tSFEolWnd3XD3d8Q6sTs1mTajZtDGt+vRE7aIp+vAT+O2jzxEEUGm0aN3dcHF3x6u6PyGNGuBfuxaKogJwOWnpePrZDuVtkeyNRlTabCsPkyBhKoyixzH7eRhvbd1lUZ/BEZ5aDWlTK1/1vjyOXE1g+/mLvNSpLV5FxTKjU9OJTEnDVa1CpVAQ6O6OSRJxUamo7+tDUm4+IV4eTt+j39I1/BV70W77nfr+s4dSIdC1dk0a+vmyOfo88dm5vHxvW9qFBBKVms6SExFcy8m1Om9Qs0YMb9UMD62G7nXNSqwpefl8d+gEcw8ec6pOUGWp5e3JksGPcr8D1TkAo0nk/Z17MYoSPeuFkpybz4inhyKdPX3TxlaWfy5eofeilVYbBgpBwNfVhWyd3mY+y7+Fl1ZDiKcH5zMy0SiVtAsJwt/NlWs5uaTm5fN535481KBusXjH1pg4gj3dOZGQzF8xcayOiEIhCEhIDusI1fHx5ufHH6axv1+xqENKXj5GUSTY0/n3675LV4lJy8BTq6FlYAC+ri68v3Mfv0VEk1pGQMBFpeL59vfQr3F9WgdVr5KQsCNXExj86x/kGQy0CQ4kPjun2NNR3d0Nnclo4flwU6sJ9HDDKIr4u7lRzVVL6+BA6vh4ozeZ8NCo2XH+Eqsjom54bLcjd9vnZ1mq3PC5XXnxxReZNGkSwcHBRERE8Nprr7F3797idtnwufk0alSDH396ha5dnY8Bjom5xrVr6cREx3PxYjJnz15m585wsrKqLjTjoYfa8uFHz9C0aU0OHoxixge/sm9fJCaTaJF87uamJTe3EDc3LXXqVMfDw5Xs7HwkSSIzMw+FQkFeXiEFBXqOHT/KA926YDKJ5OYWEBOTgFqtJCenwKFBp9WqcXd3wc1Ni6urhtzcQjIycvH29qRF87aIIpwOP1xUtM2EKJqKr1fy03yt4OBq9O/fEQ8PF+LikhAEgdq1q+PqqkGtVuGiDQbJg+qBKtp1qI6fbyAmkxokyM3RcvmiHyaTAq2LgXoNUlAqJS6nZNCigQsqtcipmFQSU3JRKpSAAsnohUnvgk5KIy8vnfBTURQW6tCoXcjNLSQnNxd3VzV+fp6YTCZMJgkvbzcCAn0RUCCaQBQFJFGJAi0Gkx4Js1FhEiWMogGTaMDdTYUoiAgKJd6+Xnj5eOLmpkXj5oakVJGXlYukUCKoVGg0GszmC4iiiFqrQVK5kGMQkNQuKARwV4l0C8rDKAmIEripRNRlhLKOp7qQa1RgFAUkQKuUcFeJSBKIkkC+UUCnU0FRu2BQosx1QZHtimCqnMEjuOpJM2YQkhBNu2j7u4oZBYWEzp5XvEPsDG2CAzn0QuWKUP+bvLj+LxadCC93p/1u/Py8k2kTHIhSIRCelEITf1+qu7ujUSrQqlQcu5ZY7Km6zvX5a+DrQ+vgQKq5uhCblkHbkEDGtG9Ftk6Hu1pNdQ93vIuM6+PXEmno54tSENhz6SqxaRmYJBEPjQZXlYrMQh3RaelkF+pw06iRJMgu1JGYm8eBK9duK8OmKtCqlEWfmzdHBlulUNCrXm36NqrHxcwsUnLz0aiU+Lu58vGsWQT3ebRKJJpbBQVw5MWR5fbLKtSx73I8kiRRx8ebsympHL6awLJTZ22qs8nY527//PxPGD5Dhgxh2bJljB8/nr179zJ+/HhGjRpFs2bNuHLlCnB7GT4+ft4kJe9k9LMTOXg4htioK8VtLVrUpkYNP86du0phoZ6CAj16vRGTSUSjUaHVqtFq1ajVSjQaFWq1Clc3F1zcXVEoFOgKdcScu4xOZ6Sg4MYrCGs0KtzdXZAkicJCA4WFerRaNRqNipkzRzBocGdCQnzJzsrD28f5HaLySE3N5uzZywAEB/siCJCRkUdBgQ61WoUkSXh5ueHp6YooSri5aVCplLi5aREEAZ3OgNFows/PcfiRTm9Eq6m6orv6C+mIR64huajQNaiGRqnEZBLQ6bRoVKDUKjAZFZiUagqNWjKyvUjP9kKQTAiShCQIgIAkKJAEUKokTKISpVrExdWIVqlDpTJhMipRqUyoNSYMBiUGnfk+giAhGgXy8zSIooAgwfW3uIBU9KuEQhLR6HLRGApAkjAp1RhVLhafCIIKUAkYjKqi8ShKjc38HlKIJkSFsqgNJAEUCglBkFAgYRIFJFEoPrdoIOa+lH0fljyWBBAEidJvVaVSNF9bIaEo+icU3UsQQK0xolIVDV6SQDI/HwKgUJgQFOZr6gpU5GS7IJoEFEqpePySJJiNyqKfEuaxi6KAJJUaiLkTgiSikESQJBSiiICIIIoISChMRlrfE4fibAJSQi5SgZF8SU2mhweFIqiNRrzy8vDJK9/A/2LfEaZUQliglrcn598YV/w4Lb+Agb/8Rm1vLzy0Gi5mZLHn0hWUgoKe9ULpXjeUPL2BbJ2O2LQMDscnIgCnXx510xN1k3LzaDl3gdNhG3f7F/fdjjx/dzZVPX9vd7uXD3p1Acwep9S8Aib/tYsWgQGcuJbEjguXquxeMnf/+69KDZ+xY8cyevRo6tWrR7Vq1qo3kiShdqJYXlVz8OBBTp8+zdixY4uPRUdHs2bNGqZOnVo8tuv82xP+1MBeLOna0Zz9qBRArQSNEtFkXixikszHlYqiBVypk+0NXRBK2q7/XuqnBIgImCQQS11HkACxaAkqFf0s2m1VXt+PN4mQrQNXtXlcRrHkn6HoZ+nx2bh/8U8bfYwmJaJkXvAXj1co6lh0jlR8rlD091zvW9Kv9DnXl/rFvxf9V2wI2PwJglR64WzjGCX9BSTzQlcSERUqlEYdasONG5syMtfZFnuRfsvWOAxXcURDv2q82LENKXn5fLn/aKVycwQBUt+eYFPwoCp4ZeN2Vp05V6HE4bv9i/tuR56/Oxt5/u5s7vb5K2+97/RW96effsobb7zByZMnWbZsGRkZGVUzwhtErVbTrl07Zs+2rMr9119/0blz539pVI6p5ukCedYJso7L1N0YAqAs+ldpCpxYNElYGghOUHX+FhmZO5vUvHwe+PlXAj3cqeaiZdv5S5U2esAsEfzGn3/f0JgkCTr/sIxVYQNtyvWuORNFjl5PNRct0WkZ6E2m4mTdZgH+JOflcyY5hRPXks3JvBo13euFciohhWPXEm9obDIyMjIyMhXB6TXnyJEjWbt2LWFhYTdzPBXG398flUpFUpKlvGhSUhK9e/e2ec6/mVQvYSTn0klYfPcpncnIyFSS6kEo6tQn6L7uRM/6tvz+/xKSXg+52UjJiQg1QhE8vRj6b43lDhZHkZHn705Hnr87m//y/Dlt+Li6urJ9+/abOZZbxr/p4hMEgS/fGcl4tf+/NgaZW0Oemy8mpdocZihJSJhzQUyiiGDSoxSNKE1GVJIJoyShF00oEVAKgtlDVxTNp0BAIYBSENAXhSpej1E1v5JL1Huu30eUpJLfRXOlZoPBiFR0zGASySwsJC4jC4Mo4uvqgqdGY3bYARq1GqUg4KpWIRSFQKoUCpSCgFIhoFVrUCkUKJAwFCUNm3NpBARzNlHReIoEJIrOvf7eK4nKLPsYhOt/VVHoovXb1fKc0r+U7ls2SrS0H1Kr0VBQWIgkSbirK+5zNIkiBpOIURQxiEU/Sz02iea/O62gEK1SSUxaBkl5eZxPzyQlN59cvYE8g4Ho1HSSqyBB+L/G3R6qcbcjz9+djTx/dzZ3+/yVZ9Q5/Y2/Y8cOOnTowI8//njDg6pKUlNTMRqNBAZa1q8IDAwsrjV0OyFJEhM/WsIrmRnUqlGDgIBqPPZkL9SiSEZaNhmZOURExOHq7oFWo0YUJURRRJRElAolJoMRo1GPUWfAZDBgMhjNuTmCWZpTqVCgcdEiSODh5Y4kSiBJuLmo8fb2wNffB3dXLaJJxGA0mhfHgoDBYMRgMCJiVokRRQmTKJJboCM1LY9MgxFfT1eUCiWZ+ToK9XoK9Hry9QbydXoMRiOYTEiiaP5pEpFMJnOityCgKFrMX/9dIQi4aF24p0U7lGoVusJ83Ly9cHV1RSmBUqksWkgrzHk5kjn/SaFQmNskCYUAChQoihbLZmUv8zhMBiOi0VCc0yOKIiZJQpTEoudTwiRKSJKIySQiSiBKJnMfsaiPKGGSTMXPRfE1RJGNmzbx8EMPoTOZ0BuNuKgUGEwieXoDSbl55gW/aL6fTleAwVA1tT9kqgZJktBW8oNfELih8DMZGRkZGRmZfwenxQ2Cg4PZsmULK1eu5KeffiI5OfkmD815Dh48yKlTpxg3rkTBKCoqirVr196W4gZw91vcdzvy/N3ZyPN3ZyPP352NPH93NvL83dnc7fNXZapu+fn5CIJQrNpmMBgQy+jHS5KEh0fVSRo7y5AhQ1i6dCnjx49n3759vPDCC4wePZrmzZtz+fLl4rFd53aY8Lv9hXe3I8/fnY08f3c28vzd2cjzd2cjz9+dzd0+f1Wm6rZy5crbNhlq1apV+Pn5MW3aNIKDgzlz5gyPPPJIsdEjIyMjIyMjIyMjI/Pf5q4oYOoMssdHpiqR5+/ORp6/Oxt5/u5s5Pm7s5Hn787mbp+/8tb7N7N0jIyMjIyMjIyMjIyMzG2Bw1C3Dh06VPiCR44cqfRgZGRkZGRkZGRkZGRkbgYOQ91MJpPTeT2CICBJEipVxWti3ArkUDeZqkSevzsbef7ubOT5u7OR5+/ORp6/O5u7ff5uSNxg1KhRVT8iGRkZGRkZGRkZGRmZW8x/UtxARkZGRkZGRkZGRubuRRY3kJGRkZGRkZGRkZH5TyIbPjIyMjIyMjIyMjIydz3/mVA3GRkZGRkZGRkZGZn/LrLHR0ZGRkZGRkZGRkbmrkc2fGRkZGRkZGRkZGRk7npkw6cSTJkyhcOHD5OVlUVycvL/27v/mKjrPw7gT+4EDg8TjQREQGWGggsdOoOZlp1KTm3o1JScORLnUreUaRqllpaz+QNnbP4CtLUSN01MBQnPqfizMBFxlkjIT+Pkx0l3qODr+4dxeWF9De4Hdzwf23M7Pp8378/n/X75Ad7e3eeQkZGBsLCwVu1WrVqF8vJyGAwGaLVahIaGmu1fuXIlzpw5g4aGhn+865yItMr8+fOtMq7Owpb1A4DY2FhcvnwZRqMR1dXV2LNnj8XH1JnYqn5z5sx56vUnIhg2bJjVxufsbHn9DRs2DNnZ2aitrUVtbS1++OGHNn0wN/3FlvUbM2YMcnNzodfrUVlZifXr10OpVFplXJ2FJeoXFBSEXbt2oaioCAaDAUVFRfjss8+gUqnM+ggICEBGRgYaGhpQXV2NpKQkuLq6Wn2MzsyW9duyZQsuXboEo9GI4uJiq4/NloT5b8nMzJR33nlHwsLCZPDgwXLgwAGprKyUHj16mNosW7ZM9Hq9TJkyRcLCwmTfvn1SXl4unp6epjZr1qyRJUuWyNq1a0Ue/+RvFRGRuLg48fHxMUWlUtl9Dhw5tqzfokWLpKKiQmJjYyU4OFgGDx4sU6ZMsfscOHJsVT+VSmV23fn4+MjevXvl5s2bdp8DR46t6qdWq0Wn08mePXskJCREBg4cKF999ZXU1NSY9cN0zPq99NJL0tjYKKtXr5bg4GAZNWqUFBYWyhdffGH3OXDkWKJ+48ePl9TUVBk3bpz069dPJkyYIGVlZbJ9+3ZTHwqFQvLz80Wr1crQoUNFo9FIeXm5bN261e5z4MixVf0AyNatW2XhwoWyfft2KS4utvvYLRi7n4DDR61WS1NTk0ycONG0raKiQlauXGn6WqVSiV6vl/j4+FbfP3Xq1H9d+EydOtXuY3TmWKt+3bt3l4aGBtFoNHYfozPHmtffk/Hw8JDa2lpZsWKF3cfsTLFW/SIiIkREpG/fvqZtffv2FRGRiIgIu4/bWWKt+q1bt07y8vLMtk2cOFEMBgMXrh2ofi1ZsGCB6HQ609fR0dHS3Nwsffr0MW2LjY0Vo9Eo3bp1s/u4nSXWqt+TWbp0qVMtfPhSNwvo1q0blEolamtrAQD9+vWDn58fjh8/bmrT2NiIU6dOISoq6j/3n5SUhOrqaly8eBHz589/6gcyUdtZq37jxo2DUqmEj48Prl27hrKyMhw4cAD9+vWz+Bg6M2tffy2mT58OtVqNlJSUdp8z/cVa9btx4wZ+//13xMXFwc3NDW5ubpg3bx5KSkpw7do1i4+js7JW/dzd3dHY2Gi2zWg0wsPDAxEREZY5ebJY/Z577jlTHwAQGRmJ69evo6yszLQtKysLKpWK9bMga9XPmXHhYwFJSUm4fPkyzp07BwDw9fUFANy5c8es3Z07d0z7ntVHH32EGTNmQKPR4Ntvv8XGjRuxcuVKy5w4AbBe/fr37w+FQoHExEQsWbIEMTExcHV1hVarhYeHh+UG0MlZ8/p7Unx8PL7//vtW/VL7WKt+DQ0NePXVVzF9+nQYDAYYDAbMmDEDY8eObfUHNbWdteqXlZWFESNGIDY2FkqlEr1798bHH38MAPDz87PQ2ZMl6hcYGIiEhAQkJyebtvn6+rbqQ6fToampqV0/h8mcternzLrY+wQc3caNGzFy5EiMHDkSjx49snj/a9euNT2+cuUKlEolPvzwQ6xbt87ix+qMrFk/hUIBNzc3LF68GNnZ2QAe3+igqqoKkyZNQnp6ukWP1xlZ+/prERoaiqioKEyYMMFqx+iMrFk/lUqFlJQUnD9/3vTHc0JCAg4dOoRhw4bBYDBY9HidkTXrl52djYSEBHz55ZdIS0vD/fv38emnn2LUqFFWvdY7E0vUr1evXsjMzER2djY2b95s4TOkf8P6tQ2f8WmHTZs2YebMmRgzZozZHWaaSJoAAAjJSURBVC+qqqoAAD4+PmbtfXx8TPva6sKFC+jevTt69erVrn7I+vWrrKwEABQWFpq26fV6VFRUIDAwsD2nTrDt9RcfH4/bt28jMzOz7SdMZqxdv1mzZiE4OBhz587Fjz/+iAsXLmDWrFkIDAxETEyMZQbRidni+tu8eTO8vLwQGBgIb29vHDp0CABw69atdp49WaJ+Pj4+0Gq1KCgowOzZs832VVVVterD29sbXbp0afffQWT9+jkzLnzaaMuWLaZ/dDdu3DDbV1xcjMrKSowdO9a0zd3dHa+88grOnj3bruMOGTIERqMRdXV17eqns7NF/XJzcwEAISEhpm1qtRp+fn4oKSlp5wg6N1tef+7u7pg9ezZSUlL+9bbl9OxsUb+uXbtCRMz+J/TRo0cQESgU/NXXHrb+/VdZWYnGxkbMnDkTt2/fRl5eXrvOv7OzRP18fX1x8uRJXL9+HTNnzkRzc7NZP+fOncOgQYPg7+9v2tbyMtOffvrJSiPrHGxRP2dn9zssOFq2bdsm9fX18tprr5nd6latVpvaLFu2TOrq6iQmJkbCwsLkm2++aXU7z4CAAAkPD5elS5eKiEh4eLiEh4eb+pk4caK8++67EhYWJv3795e4uDipq6uTLVu22H0OHDm2qh8AOXjwoFy9elWioqJk0KBBkp6eLsXFxeLh4WH3eXDU2LJ+wOM7ETU1NUlAQIDdx+4MsVX9QkJCxGg0SnJysgwcOFBCQ0Nl7969UldXJ/7+/nafB0eNLa+/hIQEGTx4sISGhkpiYqLcv39f3nzzTbvPgSPHEvXz8/OTGzduiFarlT59+pj1o1AoBPjrdtY5OTkyZMgQef3116WsrIy3s3aQ+gGQ4OBgCQ8Pl40bN0p5ebnpGnV1dbX7PLQzdj8Bh8s/WbVqlVm7VatWSUVFhRiNRjl58qSEhYWZ7U9NTX1qP6NHjxbg8b3W8/LyRK/XS0NDg+Tn58vixYtFqVTafQ4cObaqHwDx9PSUHTt2yN27d6WmpkYyMjKkf//+dp8DR44t6wdATp48KUeOHLH7uJ0ltqyfRqOR06dPS21trdTU1MiJEyckMjLS7nPgyLFl/XJycqS2tlYMBoOcO3dOoqOj7T5+R48l6jdnzpx/7CcoKMjULiAgQA4fPix//PGH6HQ6SUpKEjc3N7vPgSPHlvXTarX/t40jxuXPB0RERERERE6LL3QmIiIiIiKnx4UPERERERE5PS58iIiIiIjI6XHhQ0RERERETo8LHyIiIiIicnpc+BARERERkdPjwoeIiIiIiJweFz5ERNQh5OTkQKfTwdvbu9U+tVqNkpIS/Pzzz1AqlXY4OyIicnRc+BARUYcwf/58dO3aFZs3b26175NPPoG/vz/mzZuH5uZmO5wdERE5OiWA1fY+CSIiopqaGogI3n//feTm5uLWrVsAgCFDhmD37t1ITk7G7t27rXoOCoUCrq6uXFwRETkpYRiGYZiOkC5dukh+fr7cvHlTVCqVuLi4yPnz5+X27dvi6ekpAwYMkH379olOpxOj0Sh5eXkydepUsz569OghGzZskCtXroher5d79+6JVquVkSNHmrULCgoSEZHly5fLe++9J7/88os8fPhQRo8eLQBk2rRpcvHiRamvrxe9Xi+FhYWSmJho9zliGIZh2haXPx8QERF1CC+//DLOnDmDDRs2oLS0FMnJyZg8eTJ+/fVXnD17FlVVVUhLS0NDQwNiYmKg0Wjw9ttv4+uvvwYAREREYP/+/UhPT8etW7fg5eWFuLg4BAUFYfjw4bh69SoAICgoCL/99huuXbsGtVqNHTt24N69ezh+/DgCAgJw/PhxnDhxAgcPHkRzczNCQkIQGhqK6Ohoe04PERG1g91XXwzDMAzzZLZt2yYPHjyQ+vp62b9/vwCQrKwsKSgoEJVKZdY2KytLSktLTV+7ubmJi4uLWRsvLy+pqqqSnTt3mra1PONz79498fX1NWu/adMmqaurE4VCYfe5YBiGYSwT3tyAiIg6nBUrVkCn08HFxQWLFi1Cjx49oNFokJ6eDrVajeeff96UzMxM9OnTBy+++CIA4MGDBxARAIC7uzt69uwJpVKJS5cuISIiotWxvvvuO1RVVZltq6+vh1qtxrhx46w/WCIishm7r74YhmEY5u/RarVy/fp1ASDDhw+X/6flPTwuLi6yfPlyKSoqatWmqKjI1H/LMz6rV69udewXXnhBCgoKRESkrKxM0tLSZNKkSXafE4ZhGKbt6QIiIqIOTqF4/AKFTZs24ejRo09tU1BQAODxs0Xr1q1DWloaEhMTcffuXTQ3N2PFihUIDg5u9X1Go7HVturqagwdOhQajQZvvPEGoqOjMWfOHBw+fBiTJ0+24MiIiMhWuPAhIqIOr+XW1k1NTcjJyfnXttOmTYNWq8XcuXPNtq9Zs+Y/HfPhw4c4duwYjh07BgD4/PPP8cEHHyAqKgpnz579T30REZH98T0+RETU4VVXV+PEiROYN28eevfu3Wq/t7e36XFzczNcXFzM9kdGRiIyMvKZj9ezZ89W2y5fvgwA8PLyeuZ+iIio4+AzPkRE5BAWLFiA3Nxc5OfnY+fOnSgqKkKvXr0wYsQIhIaGYsCAAQCAjIwMrFmzBnv27MHp06cxYMAAxMfHo7CwEJ6ens90rF27dsHb2xs5OTkoLS2Fv78/Fi5ciIqKCpw6dcqawyQiIiuy+xuNGIZhGObvefLmBi0JCgqSlJQUKS8vl/v370tZWZkcOXJE3nrrLVMbV1dXWb9+vZSWlorBYJCLFy/K+PHjJTU1VYqLi836avkA078fe8qUKXL06FGprKyUxsZGKSkpkdTUVOnbt6/d54VhGIZpW/gBpkRERERE5PT4Hh8iIiIiInJ6XPgQEREREZHT48KHiIiIiIicHhc+RERERETk9LjwISIiIiIip8eFDxEREREROT0ufIiIiIiIyOlx4UNERERERE6PCx8iIiIiInJ6XPgQEREREZHT+x9qo3bK6NLdlwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 878.4x324 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "Bprz9gkkkhyU",
        "outputId": "6298ca08-ad51-4cc1-f648-130a8e9cd3bf"
      },
      "source": [
        "# Get the daily simple return \n",
        "DSR = CRYPTO.pct_change(1)\n",
        "# Show the data\n",
        "DSR"
      ],
      "execution_count": 67,
      "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>BTC</th>\n",
              "      <th>LTC</th>\n",
              "      <th>ETH</th>\n",
              "      <th>DOGE</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2015-01-01</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-02</th>\n",
              "      <td>0.002492</td>\n",
              "      <td>-0.011741</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.016393</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-03</th>\n",
              "      <td>-0.107767</td>\n",
              "      <td>-0.200273</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.102151</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-04</th>\n",
              "      <td>-0.060079</td>\n",
              "      <td>-0.082732</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.053892</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-05</th>\n",
              "      <td>0.038907</td>\n",
              "      <td>0.064139</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.018987</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-10</th>\n",
              "      <td>0.021604</td>\n",
              "      <td>-0.015326</td>\n",
              "      <td>-0.036874</td>\n",
              "      <td>-0.034381</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-11</th>\n",
              "      <td>0.032077</td>\n",
              "      <td>0.003658</td>\n",
              "      <td>0.015023</td>\n",
              "      <td>-0.001536</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-12</th>\n",
              "      <td>-0.008183</td>\n",
              "      <td>0.097287</td>\n",
              "      <td>-0.029620</td>\n",
              "      <td>-0.010176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-13</th>\n",
              "      <td>0.068217</td>\n",
              "      <td>0.026033</td>\n",
              "      <td>0.086103</td>\n",
              "      <td>0.127970</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-15</th>\n",
              "      <td>-0.018466</td>\n",
              "      <td>-0.035279</td>\n",
              "      <td>-0.021402</td>\n",
              "      <td>-0.055163</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2337 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 BTC       LTC       ETH      DOGE\n",
              "Date                                              \n",
              "2015-01-01       NaN       NaN       NaN       NaN\n",
              "2015-01-02  0.002492 -0.011741       NaN  0.016393\n",
              "2015-01-03 -0.107767 -0.200273       NaN -0.102151\n",
              "2015-01-04 -0.060079 -0.082732       NaN -0.053892\n",
              "2015-01-05  0.038907  0.064139       NaN  0.018987\n",
              "...              ...       ...       ...       ...\n",
              "2021-03-10  0.021604 -0.015326 -0.036874 -0.034381\n",
              "2021-03-11  0.032077  0.003658  0.015023 -0.001536\n",
              "2021-03-12 -0.008183  0.097287 -0.029620 -0.010176\n",
              "2021-03-13  0.068217  0.026033  0.086103  0.127970\n",
              "2021-03-15 -0.018466 -0.035279 -0.021402 -0.055163\n",
              "\n",
              "[2337 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 612
        },
        "id": "8FgWQLYUkwIy",
        "outputId": "73911588-44ad-411e-8996-acc157128736"
      },
      "source": [
        "# Visualize and graph the cryptocurrencies prices\n",
        "my_crypto = DSR\n",
        "plt.figure(figsize=(12.2, 4.5))\n",
        "for c in my_crypto.columns.values:\n",
        "  plt.plot(my_crypto[c], label = c, alpha = 0.7, lw = 2)\n",
        "\n",
        "plt.title('Daily Simple Return: BTC, LTC, ETH, DOGE')\n",
        "plt.xlabel('Years')\n",
        "plt.ylabel('Percentage Change')\n",
        "plt.legend(my_crypto.columns.values, loc = 'upperleft')\n",
        "plt.show()"
      ],
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:10: MatplotlibDeprecationWarning: Unrecognized location 'upperleft'. Falling back on 'best'; valid locations are\n",
            "\tbest\n",
            "\tupper right\n",
            "\tupper left\n",
            "\tlower left\n",
            "\tlower right\n",
            "\tright\n",
            "\tcenter left\n",
            "\tcenter right\n",
            "\tlower center\n",
            "\tupper center\n",
            "\tcenter\n",
            "This will raise an exception in 3.3.\n",
            "  # Remove the CWD from sys.path while we load stuff.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 878.4x324 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Qk4Pcq4LlOk0",
        "outputId": "1ca53288-496c-49f3-ab7a-1119078a4ca4"
      },
      "source": [
        "# Print the cyrptocurrencies volatility \n",
        "print('The cryptocurrency volatility: ')\n",
        "DSR.std()"
      ],
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The cryptocurrency volatility: \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "BTC     0.038549\n",
              "LTC     0.058027\n",
              "ETH     0.064395\n",
              "DOGE    0.089771\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_fe7A6fMljRB",
        "outputId": "4cc11df3-1204-44e8-8545-8b3ad388c095"
      },
      "source": [
        "# Show the mean/average daily simple return\n",
        "DSR.mean()"
      ],
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "BTC     0.003003\n",
              "LTC     0.003499\n",
              "ETH     0.005264\n",
              "DOGE    0.005278\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "vkCAcEOXltNS",
        "outputId": "38076095-26b3-43bb-ee88-f4b247d5e7b2"
      },
      "source": [
        "# Get the correlation matrix\n",
        "DSR.corr()"
      ],
      "execution_count": 73,
      "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>BTC</th>\n",
              "      <th>LTC</th>\n",
              "      <th>ETH</th>\n",
              "      <th>DOGE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>BTC</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.615908</td>\n",
              "      <td>0.487095</td>\n",
              "      <td>0.366446</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LTC</th>\n",
              "      <td>0.615908</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.465961</td>\n",
              "      <td>0.325608</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ETH</th>\n",
              "      <td>0.487095</td>\n",
              "      <td>0.465961</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.249880</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DOGE</th>\n",
              "      <td>0.366446</td>\n",
              "      <td>0.325608</td>\n",
              "      <td>0.249880</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           BTC       LTC       ETH      DOGE\n",
              "BTC   1.000000  0.615908  0.487095  0.366446\n",
              "LTC   0.615908  1.000000  0.465961  0.325608\n",
              "ETH   0.487095  0.465961  1.000000  0.249880\n",
              "DOGE  0.366446  0.325608  0.249880  1.000000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 728
        },
        "id": "D_86kAYKmCwX",
        "outputId": "bef9c9b0-3df7-4606-b93b-b3cc78dff9e5"
      },
      "source": [
        "# Visualize DSR correlation\n",
        "import seaborn as sns\n",
        "plt.subplots(figsize = (11,11))\n",
        "plt.title('Cryptocurrency Correlation: BTC, LTC, ETH, DOGE')\n",
        "sns.heatmap(DSR.corr(), annot=True, fmt='.2%')"
      ],
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fb9c165cd90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "reliRXl8mUcu",
        "outputId": "600e8000-7f7a-4e30-fab6-68ccfbac901f"
      },
      "source": [
        "# Get and show the daily cumulative simple returns\n",
        "DCSR = (DSR + 1).cumprod()\n",
        "# Show the data\n",
        "DCSR"
      ],
      "execution_count": 76,
      "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>BTC</th>\n",
              "      <th>LTC</th>\n",
              "      <th>ETH</th>\n",
              "      <th>DOGE</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2015-01-01</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-02</th>\n",
              "      <td>1.002492</td>\n",
              "      <td>0.988259</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.016393</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-03</th>\n",
              "      <td>0.894456</td>\n",
              "      <td>0.790337</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.912568</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-04</th>\n",
              "      <td>0.840719</td>\n",
              "      <td>0.724951</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.863388</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-01-05</th>\n",
              "      <td>0.873428</td>\n",
              "      <td>0.771449</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.879781</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-10</th>\n",
              "      <td>178.229850</td>\n",
              "      <td>74.291645</td>\n",
              "      <td>649.021781</td>\n",
              "      <td>306.032787</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-11</th>\n",
              "      <td>183.946878</td>\n",
              "      <td>74.563398</td>\n",
              "      <td>658.771968</td>\n",
              "      <td>305.562851</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-12</th>\n",
              "      <td>182.441602</td>\n",
              "      <td>81.817458</td>\n",
              "      <td>639.258913</td>\n",
              "      <td>302.453557</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-13</th>\n",
              "      <td>194.887135</td>\n",
              "      <td>83.947425</td>\n",
              "      <td>694.300905</td>\n",
              "      <td>341.158469</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-15</th>\n",
              "      <td>191.288364</td>\n",
              "      <td>80.985844</td>\n",
              "      <td>679.441338</td>\n",
              "      <td>322.338973</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2337 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                   BTC        LTC         ETH        DOGE\n",
              "Date                                                     \n",
              "2015-01-01         NaN        NaN         NaN         NaN\n",
              "2015-01-02    1.002492   0.988259         NaN    1.016393\n",
              "2015-01-03    0.894456   0.790337         NaN    0.912568\n",
              "2015-01-04    0.840719   0.724951         NaN    0.863388\n",
              "2015-01-05    0.873428   0.771449         NaN    0.879781\n",
              "...                ...        ...         ...         ...\n",
              "2021-03-10  178.229850  74.291645  649.021781  306.032787\n",
              "2021-03-11  183.946878  74.563398  658.771968  305.562851\n",
              "2021-03-12  182.441602  81.817458  639.258913  302.453557\n",
              "2021-03-13  194.887135  83.947425  694.300905  341.158469\n",
              "2021-03-15  191.288364  80.985844  679.441338  322.338973\n",
              "\n",
              "[2337 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 612
        },
        "id": "1wbUmbnFmeiz",
        "outputId": "97ed6af7-ac30-42c7-fddf-d9bb0e77fcf2"
      },
      "source": [
        "# Visualize DCSR\n",
        "my_crypto = DCSR\n",
        "plt.figure(figsize=(12.2, 4.5))\n",
        "for c in my_crypto.columns.values:\n",
        "  plt.plot(my_crypto[c], label = c, alpha = 0.7, lw = 2)\n",
        "\n",
        "plt.title('Daily Cumalitive Simple Return: BTC, LTC, ETH, DOGE')\n",
        "plt.xlabel('Years')\n",
        "plt.ylabel('PGrowth of $1 Investment')\n",
        "plt.legend(my_crypto.columns.values, loc = 'upperleft')\n",
        "plt.show()"
      ],
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:10: MatplotlibDeprecationWarning: Unrecognized location 'upperleft'. Falling back on 'best'; valid locations are\n",
            "\tbest\n",
            "\tupper right\n",
            "\tupper left\n",
            "\tlower left\n",
            "\tlower right\n",
            "\tright\n",
            "\tcenter left\n",
            "\tcenter right\n",
            "\tlower center\n",
            "\tupper center\n",
            "\tcenter\n",
            "This will raise an exception in 3.3.\n",
            "  # Remove the CWD from sys.path while we load stuff.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 878.4x324 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}