4842 lines
2.0 MiB
4842 lines
2.0 MiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 36,
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"id": "1023f2c1-e45f-4e1c-9a1b-66f59f128196",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Panda Version: 2.2.2\n",
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"Today date is: 2024-08-13\n"
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]
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}
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],
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"source": [
|
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"import sqlite3\n",
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"\n",
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"import os\n",
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"import re\n",
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"\n",
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"import numpy as np\n",
|
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"# It is apparently officially accepted to explicitly\n",
|
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"# list all the functions you need from numpy:\n",
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"from numpy import array, zeros, exp, random, dot\n",
|
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"from numpy import shape, reshape, meshgrid, linspace\n",
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"from numpy import hstack, vstack\n",
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"\n",
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"import statsmodels\n",
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"import sklearn\n",
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"import arch\n",
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"import backtrader\n",
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"import pyfolio\n",
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"import xgboost\n",
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"\n",
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"import pandas as pd\n",
|
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"print('Panda Version:', pd.__version__)\n",
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"\n",
|
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"# Set ipython's max row display\n",
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"pd.set_option('display.max_row', 100, 'display.max_columns', 25)\n",
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"\n",
|
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"import matplotlib.pyplot as plt # for plotting\n",
|
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"import matplotlib\n",
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"matplotlib.rcParams['figure.dpi'] = 100 # highres display\n",
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"\n",
|
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"import tensorflow as tf\n",
|
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"from tensorflow import Variable\n",
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"\n",
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"from tensorflow.keras import Sequential\n",
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"from tensorflow.keras import Model\n",
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"from tensorflow.keras.layers import Dense\n",
|
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"from tensorflow.keras.layers import Dropout\n",
|
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"from tensorflow.keras.layers import TimeDistributed, RepeatVector\n",
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"\n",
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"from keras.optimizers import SGD\n",
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"\n",
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"from keras.models import load_model\n",
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"from keras.callbacks import EarlyStopping\n",
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"from keras.callbacks import ModelCheckpoint\n",
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"\n",
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"from keras.layers import LSTM, Dense, Concatenate\n",
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"\n",
|
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"from keras.optimizers import SGD\n",
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"\n",
|
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"import collections\n",
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"from collections import Counter\n",
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"\n",
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"import seaborn as sns\n",
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"\n",
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"import statsmodels.api as sm\n",
|
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"import statsmodels.tsa.stattools as ts\n",
|
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"from statsmodels.tsa.stattools import acf, pacf\n",
|
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"from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
|
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"from statsmodels.tsa.seasonal import seasonal_decompose\n",
|
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"from statsmodels.tsa.arima_model import ARMA\n",
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"\n",
|
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"from scipy import signal\n",
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"\n",
|
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"# Import date class from datetime module\n",
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"import time\n",
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"import datetime\n",
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"# import datetime as dt\n",
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"from datetime import date\n",
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"print(\"Today date is: \", date.today())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b6334f38-1929-4969-8aa8-4c05f57d5684",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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|
"id": "c17a0212-b921-400a-976c-fed928508b31",
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"metadata": {
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'\\n4. scikit-learn\\nUse Case: Machine learning and statistical modeling.\\nFeatures: Provides implementations of various machine learning algorithms and tools for model evaluation and selection.\\n5. Arch\\nUse Case: Financial econometrics.\\nFeatures: Focuses on ARCH (Autoregressive Conditional Heteroskedasticity) and GARCH (Generalized ARCH) models for volatility modeling.\\n6. matplotlib & seaborn\\nUse Case: Data visualization.\\nFeatures: These libraries help visualize time series data and statistical properties.\\n7. Quantlib\\nUse Case: Quantitative finance.\\nFeatures: Provides tools for pricing derivatives, calculating risk metrics, and other financial computations.\\n8. Backtrader\\nUse Case: Backtesting trading strategies.\\nFeatures: Allows for backtesting of trading strategies with a focus on time series data.\\n9. pyfolio\\nUse Case: Performance and risk analysis of financial portfolios.\\nFeatures: Provides functionalities for portfolio and risk analytics, including tear sheets\\n'"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"'''\n",
|
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"4. scikit-learn\n",
|
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" Use Case: Machine learning and statistical modeling.\n",
|
|
" Features: Provides implementations of various machine learning algorithms and tools \n",
|
|
" for model evaluation and selection.\n",
|
|
"5. Arch\n",
|
|
" Use Case: Financial econometrics.\n",
|
|
" Features: Focuses on ARCH (Autoregressive Conditional Heteroskedasticity) \n",
|
|
" and GARCH (Generalized ARCH) models for volatility modeling.\n",
|
|
"6. matplotlib & seaborn\n",
|
|
" Use Case: Data visualization.\n",
|
|
" Features: These libraries help visualize time series data and statistical properties.\n",
|
|
"7. Quantlib\n",
|
|
" Use Case: Quantitative finance.\n",
|
|
" Features: Provides tools for pricing derivatives, calculating risk metrics, \n",
|
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" and other financial computations.\n",
|
|
"8. Backtrader\n",
|
|
" Use Case: Backtesting trading strategies.\n",
|
|
" Features: Allows for backtesting of trading strategies with a focus on time series data.\n",
|
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"9. pyfolio\n",
|
|
" Use Case: Performance and risk analysis of financial portfolios.\n",
|
|
" Features: Provides functionalities for portfolio and risk analytics, including tear sheets\n",
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"'''"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9cfcd25c-a8a6-4aa7-bedb-7b41203bf799",
|
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"metadata": {},
|
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"outputs": [],
|
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 37,
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"id": "c09a37a6-f0d9-48e3-a1d1-65ddaf2c489c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"/workspace/leo\n",
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"total 15712\n",
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"drwxrwxrwx 1 1000 1000 678 Aug 13 13:49 .\n",
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"drwxrwxr-x 1 1000 1000 18 Jun 3 23:40 ..\n",
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"drwxrwxr-x 1 1000 1000 1500 Aug 10 21:00 2024-06\n",
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"drwxrwxr-x 1 1000 1000 1550 Aug 10 21:00 2024-07\n",
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"-rw-r--r-- 1 root root 0 Aug 13 13:49 20240601.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1425408 Aug 2 13:01 20240801.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1396736 Aug 3 13:01 20240802.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1384448 Aug 4 13:01 20240803.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1318912 Aug 6 02:54 20240804.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 2269184 Aug 10 17:04 20240805.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1146880 Aug 10 20:59 20240806.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1363968 Aug 8 13:01 20240807.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1187840 Aug 10 17:09 20240808.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1028096 Aug 10 17:10 20240809.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1187840 Aug 11 13:00 20240810.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1187840 Aug 12 13:00 20240811.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1191936 Aug 13 13:00 20240812.mktdata.ohlcv.db\n"
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]
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}
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],
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"source": [
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"!pwd\n",
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"!ls -la /workspace/data/crypto_md/"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4df4b0d4-e92e-42a9-8747-ff60669a4e10",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 39,
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"id": "5d2aed0b-8c9d-4f5a-9166-785da4811390",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"61968\n",
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" tstamp exchange_id instrument_id open high \\\n",
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"0 1722556800000000000 COINBASE PAIR-BTC-USD 65293.48 65346.67 \n",
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"1 1722556860000000000 COINBASE PAIR-BTC-USD 65340.60 65370.76 \n",
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"2 1722556920000000000 COINBASE PAIR-BTC-USD 65307.03 65399.08 \n",
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"\n",
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" low close volume vwap \n",
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"0 65287.64 65342.40 6.968323 65311.166016 \n",
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"1 65305.02 65313.07 4.523532 65345.659994 \n",
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"2 65299.80 65356.48 3.176643 65383.078932 \n",
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" tstamp exchange_id instrument_id open high low \\\n",
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"61965 1723420620000000000 COINBASE PAIR-XRP-USD 0.5530 0.5530 0.5523 \n",
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"61966 1723420680000000000 COINBASE PAIR-XRP-USD 0.5525 0.5526 0.5522 \n",
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"61967 1723420740000000000 COINBASE PAIR-XRP-USD 0.5524 0.5531 0.5523 \n",
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"\n",
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" close volume vwap \n",
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"61965 0.5524 62414.559650 0.552595 \n",
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"61966 0.5523 7221.733980 0.552432 \n",
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"61967 0.5531 12114.427327 0.552750 \n"
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]
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}
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],
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"source": [
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"directory = \"/workspace/data/crypto_md\"\n",
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"\n",
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"# List of dates\n",
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"dates = [\n",
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" # '20240601', \n",
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" # '20240602', \n",
|
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" # '20240603',\n",
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" # '20240604', \n",
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" # '20240605', \n",
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" # '20240606', \n",
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" # '20240607', \n",
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" # '20240608',\n",
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" # '20240609',\n",
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" # '20240610' ,\n",
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" # '20240611',\n",
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" # '20240612',\n",
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" # '20240613', \n",
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" # '20240614', \n",
|
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" # '20240615', \n",
|
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" # '20240616', \n",
|
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" # '20240617',\n",
|
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" # '20240618',\n",
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" # '20240619',\n",
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" # '20240620',\n",
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" # '20240621', \n",
|
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" # '20240622', \n",
|
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" # '20240623',\n",
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" # '20240624',\n",
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" # '20240625', \n",
|
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" # '20240626',\n",
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" # '20240627',\n",
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" # '20240628',\n",
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" # '20240629',\n",
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" # '20240630',\n",
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" \n",
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" # '20240701',\n",
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" # '20240702',\n",
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" # '20240703',\n",
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" # '20240704',\n",
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" # '20240705',\n",
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" # '20240706',\n",
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" # '20240707',\n",
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" # '20240708',\n",
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" # '20240709',\n",
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" # '20240710',\n",
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" # '20240711',\n",
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" # '20240712',\n",
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" # '20240713',\n",
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" # '20240714',\n",
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" # '20240715'\n",
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" # ] \n",
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" # '20240716', \n",
|
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" # '20240717',\n",
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" # '20240718',\n",
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" # '20240719',\n",
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" # '20240720',\n",
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" # '20240721', \n",
|
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" # '20240722', \n",
|
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" # '20240723',\n",
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" # '20240724',\n",
|
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" # '20240725', \n",
|
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" # '20240726',\n",
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" # '20240727',\n",
|
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" # '20240728',\n",
|
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" # '20240729',\n",
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" # '20240730',\n",
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" # '20240731',\n",
|
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" # '20240801',\n",
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" '20240802',\n",
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" '20240803',\n",
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" '20240804',\n",
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" '20240805',\n",
|
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" '20240806',\n",
|
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" '20240807',\n",
|
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" '20240808',\n",
|
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" '20240809',\n",
|
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" '20240810',\n",
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" '20240811'\n",
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" ]\n",
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" \n",
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"# Create an entirely empty DataFrame\n",
|
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"df_concat = pd.DataFrame()\n",
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"\n",
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"for date in dates:\n",
|
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" # Construct the filename\n",
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" filename = f\"{directory}/{date}.mktdata.ohlcv.db\"\n",
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" \n",
|
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" # Create the SQLite connection\n",
|
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" conn = sqlite3.connect(filename)\n",
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" \n",
|
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" # Read the data into a DataFrame\n",
|
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" df = pd.read_sql_query(\"select * from coinbase_ohlcv_1min\", conn)\n",
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"\n",
|
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" df_concat = pd.concat([df_concat, df], axis = 0,ignore_index = True)\n",
|
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" # Print the combined DataFrame\n",
|
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" # print(df_concat.shape[0])\n",
|
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" # print(df_concat.shape[1])\n",
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" conn.close()\n",
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"print (df_concat.shape[0])\n",
|
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"print (df_concat.head(3))\n",
|
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"print (df_concat.tail(3))"
|
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]
|
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},
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{
|
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"cell_type": "code",
|
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"execution_count": 40,
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"id": "cd83027c-eaa1-44d9-98ad-8506099c323d",
|
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"metadata": {},
|
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"outputs": [
|
|
{
|
|
"name": "stdout",
|
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"output_type": "stream",
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"text": [
|
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" date instrument_id close volume vwap\n",
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"59087 8-11-23-59 PAIR-ETH-USD 2555.5800 28.028001 2554.529061\n",
|
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"60527 8-11-23-59 PAIR-LTC-USD 59.7500 178.750636 59.706081\n",
|
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"61967 8-11-23-59 PAIR-XRP-USD 0.5531 12114.427327 0.552750\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
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"df_concat['tstmp'] = pd.to_datetime(df_concat['tstamp'])\n",
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"\n",
|
|
"# Extract individual components\n",
|
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"df_concat['year'] = df_concat['tstmp'].dt.year\n",
|
|
"df_concat['month'] = df_concat['tstmp'].dt.month\n",
|
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"df_concat['day'] = df_concat['tstmp'].dt.day\n",
|
|
"df_concat['hour'] = df_concat['tstmp'].dt.hour\n",
|
|
"df_concat['minute'] = df_concat['tstmp'].dt.minute\n",
|
|
"df_concat['second'] = df_concat['tstmp'].dt.second\n",
|
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"\n",
|
|
"df_concat['date'] = df_concat['month'].astype(str) + '-' + df_concat['day'].astype(str) + '-' + df_concat['hour'].astype(str) + '-' + df_concat['minute'].astype(str)\n",
|
|
"df_concat = df_concat.sort_values(by = ['month', 'day', 'hour', 'minute'])\n",
|
|
"\n",
|
|
"selected_columns = ['date', 'instrument_id', 'close', 'volume', 'vwap']\n",
|
|
"df_concat = df_concat[selected_columns]\n",
|
|
"\n",
|
|
"print (df_concat.tail(3))\n",
|
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"\n",
|
|
"# instrument_list = df_concat['instrument_id'].unique().tolist()\n",
|
|
"# print(\"Distinct values in column 'instrument_id':\", instrument_list)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 41,
|
|
"id": "2184cea7-2883-4aa5-b685-80b72141b633",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" date instrument_id close volume vwap\n",
|
|
"57645 8-11-23-57 PAIR-BTC-USD 58718.05 1.344185 58742.529407\n",
|
|
"57646 8-11-23-58 PAIR-BTC-USD 58724.12 3.907811 58717.757710\n",
|
|
"57647 8-11-23-59 PAIR-BTC-USD 58719.94 2.386911 58701.797579\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# print (df_concat[df_concat['instrument_id'] == 'PAIR-BTC-USD'].tail(30))\n",
|
|
"# print (df_concat[df_concat['instrument_id'] == 'PAIR-ETH-USD'].tail(30))\n",
|
|
"# print (df_concat[df_concat['instrument_id'] == 'PAIR-LTC-USD'].tail(30))\n",
|
|
"# print (df_concat[df_concat['instrument_id'] == 'PAIR-XRP-USD'].tail(30))\n",
|
|
"df_concat_btc = df_concat[df_concat['instrument_id'] == 'PAIR-BTC-USD']\n",
|
|
"print (df_concat_btc.tail(3))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 42,
|
|
"id": "316c0cfb-c73d-4dad-9d49-eb80daa229ec",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" date close_eth volume_eth vwap_eth\n",
|
|
"15489 8-11-23-57 0.255274 9.323818 0.255445\n",
|
|
"15490 8-11-23-58 0.255337 16.142155 0.255291\n",
|
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"15491 8-11-23-59 0.255558 28.028001 0.255453\n",
|
|
" date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"18369 8-9-9-7 0.6037 18115.291827 0.603396 0.267486 22.309792 \n",
|
|
"18370 8-9-9-8 0.6030 135966.774838 0.602832 0.267594 36.849237 \n",
|
|
"18371 8-9-9-9 0.6033 28410.914323 0.603139 0.267658 76.562049 \n",
|
|
"\n",
|
|
" vwap_eth \n",
|
|
"18369 0.267448 \n",
|
|
"18370 0.267570 \n",
|
|
"18371 0.267648 \n",
|
|
"M1: 18372\n",
|
|
"========================================\n",
|
|
" date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"0 8-10-0-0 0.5795 77816.237627 0.580156 0.259667 16.927328 \n",
|
|
"1 8-10-0-1 0.5789 44702.503350 0.578976 0.259666 10.655055 \n",
|
|
"\n",
|
|
" vwap_eth close_ltc volume_ltc vwap_ltc close_btc volume_btc vwap_btc \n",
|
|
"0 0.259844 0.6072 105.048920 0.607253 0.608186 1.961876 0.608431 \n",
|
|
"1 0.259694 0.6074 35.325037 0.607199 0.608049 1.174154 0.608171 \n",
|
|
" date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"35647 8-9-9-8 0.6030 135966.774838 0.602832 0.267594 36.849237 \n",
|
|
"35648 8-9-9-9 0.6033 28410.914323 0.603139 0.267658 76.562049 \n",
|
|
"\n",
|
|
" vwap_eth close_ltc volume_ltc vwap_ltc close_btc volume_btc \\\n",
|
|
"35647 0.267570 0.6088 166.967425 0.608706 0.612084 2.245966 \n",
|
|
"35648 0.267648 0.6085 69.239176 0.608629 0.611857 1.814084 \n",
|
|
"\n",
|
|
" vwap_btc \n",
|
|
"35647 0.612039 \n",
|
|
"35648 0.611996 \n",
|
|
"test sample size: 35649\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# BTC\n",
|
|
"df_concat_btc = df_concat[df_concat['instrument_id'] == 'PAIR-BTC-USD']\n",
|
|
"\n",
|
|
"# Reset Index\n",
|
|
"df_concat_btc = df_concat_btc.reset_index(drop = True)\n",
|
|
"\n",
|
|
"# Rename Vars\n",
|
|
"df_concat_btc['close_btc'] = df_concat_btc['close']/100000.00\n",
|
|
"df_concat_btc['volume_btc'] = df_concat_btc['volume']\n",
|
|
"df_concat_btc['vwap_btc'] = df_concat_btc['vwap']/100000.00\n",
|
|
"\n",
|
|
"df_concat_btc = df_concat_btc.drop('close', axis = 1)\n",
|
|
"df_concat_btc = df_concat_btc.drop('volume', axis = 1)\n",
|
|
"df_concat_btc = df_concat_btc.drop('vwap', axis = 1)\n",
|
|
"df_concat_btc = df_concat_btc.drop('instrument_id', axis = 1)\n",
|
|
"\n",
|
|
"# print (df_concat_btc.tail(30))\n",
|
|
"\n",
|
|
"# LTC\n",
|
|
"df_concat_ltc = df_concat[df_concat['instrument_id'] == 'PAIR-LTC-USD']\n",
|
|
"\n",
|
|
"# Reset Index\n",
|
|
"df_concat_ltc = df_concat_ltc.reset_index(drop = True)\n",
|
|
"\n",
|
|
"# Rename Vars\n",
|
|
"df_concat_ltc['close_ltc'] = df_concat_ltc['close']/100.00\n",
|
|
"df_concat_ltc['volume_ltc'] = df_concat_ltc['volume']\n",
|
|
"df_concat_ltc['vwap_ltc'] = df_concat_ltc['vwap']/100.00\n",
|
|
"\n",
|
|
"df_concat_ltc = df_concat_ltc.drop('close', axis = 1)\n",
|
|
"df_concat_ltc = df_concat_ltc.drop('volume', axis = 1)\n",
|
|
"df_concat_ltc = df_concat_ltc.drop('vwap', axis = 1)\n",
|
|
"df_concat_ltc = df_concat_ltc.drop('instrument_id', axis = 1)\n",
|
|
"\n",
|
|
"# print (df_concat_ltc.head(3))\n",
|
|
"\n",
|
|
"# ETH\n",
|
|
"df_concat_eth = df_concat[df_concat['instrument_id'] == 'PAIR-ETH-USD']\n",
|
|
"\n",
|
|
"# Reset Index\n",
|
|
"df_concat_eth = df_concat_eth.reset_index(drop = True)\n",
|
|
"\n",
|
|
"# Rename Vars\n",
|
|
"df_concat_eth['close_eth'] = df_concat_eth['close']/10000.00\n",
|
|
"df_concat_eth['volume_eth'] = df_concat_eth['volume']\n",
|
|
"df_concat_eth['vwap_eth'] = df_concat_eth['vwap']/10000.00\n",
|
|
"\n",
|
|
"df_concat_eth = df_concat_eth.drop('close', axis = 1)\n",
|
|
"df_concat_eth = df_concat_eth.drop('volume', axis = 1)\n",
|
|
"df_concat_eth = df_concat_eth.drop('vwap', axis = 1)\n",
|
|
"df_concat_eth = df_concat_eth.drop('instrument_id', axis = 1)\n",
|
|
"\n",
|
|
"print (df_concat_eth.tail(3))\n",
|
|
"\n",
|
|
"# XRP\n",
|
|
"df_concat_xrp = df_concat[df_concat['instrument_id'] == 'PAIR-XRP-USD']\n",
|
|
"\n",
|
|
"# Reset Index\n",
|
|
"df_concat_xrp = df_concat_xrp.reset_index(drop = True)\n",
|
|
"\n",
|
|
"# Rename Vars\n",
|
|
"df_concat_xrp['close_xrp'] = df_concat_xrp['close']\n",
|
|
"df_concat_xrp['volume_xrp'] = df_concat_xrp['volume']\n",
|
|
"df_concat_xrp['vwap_xrp'] = df_concat_xrp['vwap']\n",
|
|
"\n",
|
|
"df_concat_xrp = df_concat_xrp.drop('close', axis = 1)\n",
|
|
"df_concat_xrp = df_concat_xrp.drop('volume', axis = 1)\n",
|
|
"df_concat_xrp = df_concat_xrp.drop('vwap', axis = 1)\n",
|
|
"df_concat_xrp = df_concat_xrp.drop('instrument_id', axis = 1)\n",
|
|
"\n",
|
|
"# print (df_concat_xrp.head(3))\n",
|
|
"\n",
|
|
"df_M1 = pd.merge(df_concat_xrp, df_concat_eth, on = 'date', how = 'outer')\n",
|
|
"print (df_M1.tail(3))\n",
|
|
"print (\"M1: \", df_M1.shape[0])\n",
|
|
"\n",
|
|
"# date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"# 52615 7-7-9-7 0.4376 2599.821206 0.437600 0.301277 12.252974 \n",
|
|
"# 52616 7-7-9-8 0.4372 23718.539194 0.437213 0.301136 0.907615 \n",
|
|
"# 52617 7-7-9-9 0.4371 4330.750011 0.437266 0.301111 1.252245 \n",
|
|
"\n",
|
|
"# 'month', 'day', 'hour', 'minute'\n",
|
|
"# Oleg, is it possible that a data for XRP were sptopped to be collected at July 7.\n",
|
|
"# Please, check.\n",
|
|
"\n",
|
|
"df_M2 = pd.merge(df_M1, df_concat_ltc, on = 'date', how = 'outer')\n",
|
|
"# print (df_M2.head(3))\n",
|
|
"# print (\"M2: \", df_M2.shape[0])\n",
|
|
"df_M3 = pd.merge(df_M2, df_concat_btc, on = 'date', how = 'outer')\n",
|
|
"# print (df_M3.head(3))\n",
|
|
"# print (\"M3: \", df_M3.shape[0])\n",
|
|
"\n",
|
|
"# Drop rows with any NaN value and assign it to a new DataFrame\n",
|
|
"sample = df_M3.dropna(axis = 0).reset_index(drop = True)\n",
|
|
"\n",
|
|
"print (\"========================================\")\n",
|
|
"print (sample.head(2))\n",
|
|
"print (sample.tail(2))\n",
|
|
"sample_size = sample.shape[0]\n",
|
|
"print (\"test sample size: \", sample_size)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "3e0111b3-ec60-4a3f-8c05-b915be03c7da",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 43,
|
|
"id": "38bc81a6-12b5-4874-9f1e-c5e1fbeffa37",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"df_M1 shape: 18372\n",
|
|
"df_M2 shape: 24134\n",
|
|
"df_M3 shape: 35654\n",
|
|
"sample shape: 35649\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print ('df_M1 shape: ', df_M1.shape[0])\n",
|
|
"print ('df_M2 shape: ', df_M2.shape[0])\n",
|
|
"print ('df_M3 shape: ', df_M3.shape[0])\n",
|
|
"\n",
|
|
"print ('sample shape: ', sample.shape[0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "36ae2ebf-9743-41ac-a1f6-86cdc458dd3e",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"id": "067bb460-0490-4e2f-b3bf-d0c91a26d947",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Create a figure and axis object\n",
|
|
"fig, ax = plt.subplots(2 , 1)\n",
|
|
"\n",
|
|
"# Plot the data\n",
|
|
"ax[0].plot(df_concat_xrp['date'], df_concat_xrp['close_xrp'], 'blue')\n",
|
|
"# ax[0].plot(df_concat_btc['date'], df_concat_btc['vwap_btc'], 'green')\n",
|
|
"\n",
|
|
"# Customize the plot\n",
|
|
"ax[0].set_title('PAIR-XRP-USDT')\n",
|
|
"ax[0].set_xlabel('date')\n",
|
|
"ax[0].set_ylabel('close')\n",
|
|
"\n",
|
|
"ax[1].plot(df_concat_xrp['date'], df_concat_xrp['vwap_xrp'], 'green')\n",
|
|
"# ax[1].plot(df_concat_btc['date'], df_concat_btc['volume_BTC'], 'red')\n",
|
|
"\n",
|
|
"# Show the plot\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"id": "92700c76-8eac-4ebb-86d3-27066486c437",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Create a figure and axis object\n",
|
|
"fig, ax = plt.subplots(2 , 1)\n",
|
|
"\n",
|
|
"# Plot the data\n",
|
|
"ax[0].plot(df_concat_btc['date'], df_concat_btc['close_btc'], 'blue')\n",
|
|
"# ax[0].plot(df_concat_btc['date'], df_concat_btc['vwap_btc'], 'green')\n",
|
|
"\n",
|
|
"# Customize the plot\n",
|
|
"ax[0].set_title('PAIR-BTC-USDT')\n",
|
|
"ax[0].set_xlabel('date')\n",
|
|
"ax[0].set_ylabel('close')\n",
|
|
"\n",
|
|
"ax[1].plot(df_concat_btc['date'], df_concat_btc['vwap_btc'], 'green')\n",
|
|
"# ax[1].plot(df_concat_btc['date'], df_concat_btc['volume_BTC'], 'red')\n",
|
|
"\n",
|
|
"# Show the plot\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"id": "3c6d80b3-4a46-432b-9b88-6a264f9b7a7e",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"First part of the DataFrame:\n",
|
|
" date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"17241 8-2-0-14 0.5951 31361.789797 0.595477 0.320591 8.096218 \n",
|
|
"17242 8-2-0-15 0.5945 3799.085157 0.594719 0.320811 50.375503 \n",
|
|
"\n",
|
|
" vwap_eth close_ltc volume_ltc vwap_ltc close_btc volume_btc \\\n",
|
|
"17241 0.320753 0.6976 178.580100 0.698008 0.653866 3.709812 \n",
|
|
"17242 0.320744 0.6972 55.220535 0.697385 0.653996 7.909392 \n",
|
|
"\n",
|
|
" vwap_btc \n",
|
|
"17241 0.654079 \n",
|
|
"17242 0.653906 \n",
|
|
"\n",
|
|
"Second part of the DataFrame:\n",
|
|
" date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"17243 8-2-0-16 0.5952 14314.515713 0.594261 0.320911 27.825691 \n",
|
|
"17244 8-2-0-17 0.5958 25423.483325 0.595479 0.321092 165.355943 \n",
|
|
"\n",
|
|
" vwap_eth close_ltc volume_ltc vwap_ltc close_btc volume_btc \\\n",
|
|
"17243 0.320775 0.6973 49.423002 0.696897 0.654105 3.192297 \n",
|
|
"17244 0.320918 0.6983 25.107065 0.698064 0.654476 7.112480 \n",
|
|
"\n",
|
|
" vwap_btc \n",
|
|
"17243 0.653937 \n",
|
|
"17244 0.654348 \n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"split_index = round(sample.shape[0] * 0.8)\n",
|
|
"\n",
|
|
"# First part of the DataFrame\n",
|
|
"sample_test = sample.iloc[:split_index]\n",
|
|
"\n",
|
|
"# Second part of the DataFrame\n",
|
|
"sample_valid = sample.iloc[split_index:]\n",
|
|
"\n",
|
|
"print(\"\\nFirst part of the DataFrame:\")\n",
|
|
"print (sample_test.tail(2))\n",
|
|
"\n",
|
|
"print(\"\\nSecond part of the DataFrame:\")\n",
|
|
"print (sample_valid.head(2))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "aa4b0ac3-327a-42ce-ac58-587d9df5770c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# 08.05.2024 - Time Series Analysis"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b0f64543-5cd1-4b8e-8731-22258d6c4c6f",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# import numpy as np\n",
|
|
"# import statsmodels.api as sm\n",
|
|
"# import statsmodels.tsa.stattools as ts\n",
|
|
"\n",
|
|
"# Example time series data\n",
|
|
"np.random.seed(42)\n",
|
|
"X = np.cumsum(np.random.normal(size=100)) # Non-stationary time series\n",
|
|
"Y = X + np.random.normal(size=100) # Y is related to X but with noise\n",
|
|
"\n",
|
|
"# Step 1: Test for stationarity (ADF test)\n",
|
|
"adf_x = ts.adfuller(X)\n",
|
|
"adf_y = ts.adfuller(Y)\n",
|
|
"\n",
|
|
"print(f\"ADF Statistic for X: {adf_x[0]}, p-value: {adf_x[1]}\")\n",
|
|
"print(f\"ADF Statistic for Y: {adf_y[0]}, p-value: {adf_y[1]}\")\n",
|
|
"\n",
|
|
"# Step 2: Test for co-integration (Engle-Granger method)\n",
|
|
"# Run OLS regression\n",
|
|
"model = sm.OLS(Y, sm.add_constant(X)).fit()\n",
|
|
"residuals = model.resid\n",
|
|
"\n",
|
|
"# ADF test on residuals\n",
|
|
"adf_resid = ts.adfuller(residuals)\n",
|
|
"\n",
|
|
"print(f\"ADF Statistic for residuals: {adf_resid[0]}, p-value: {adf_resid[1]}\")\n",
|
|
"\n",
|
|
"# Interpret results\n",
|
|
"if adf_resid[1] < 0.05:\n",
|
|
" print(\"The residuals are stationary, indicating co-integration.\")\n",
|
|
"else:\n",
|
|
" print(\"The residuals are non-stationary, indicating no co-integration.\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"id": "09e18eae-c95b-4206-a9de-afe4c97a371c",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[ 0.49671415 0.35844985 1.00613839 2.52916825 2.29501487\n",
|
|
" 2.06087791 3.64009073 4.40752546 3.93805107 4.48061112\n",
|
|
" 4.01719342 3.55146367 3.79342594 1.8801457 0.15522787\n",
|
|
" -0.40705966 -1.41989078 -1.10564345 -2.01366753 -3.42597123\n",
|
|
" -1.96032246 -2.18609876 -2.11857056 -3.54331874 -4.08770147\n",
|
|
" -3.97677888 -5.12777245 -4.75207444 -5.35271313 -5.64440688\n",
|
|
" -6.24611349 -4.3938353 -4.40733253 -5.46504346 -4.64249854\n",
|
|
" -5.86334219 -5.6544786 -7.61414872 -8.94233477 -8.74547354\n",
|
|
" -8.00700696 -7.83563868 -7.95128696 -8.25239065 -9.73091264\n",
|
|
" -10.45075685 -10.91139562 -9.8542734 -9.51065511 -11.27369526\n",
|
|
" -10.94961129 -11.33469357 -12.01161557 -11.39993929 -10.36893976\n",
|
|
" -9.43765964 -10.27687717 -10.58608954 -10.25482611 -9.27928098\n",
|
|
" -9.75845522 -9.9441142 -11.05044917 -12.2466558 -11.43412997\n",
|
|
" -10.07788995 -10.14990007 -9.14636717 -8.78473114 -9.4298509\n",
|
|
" -9.06845529 -7.53041873 -7.56624477 -6.00160111 -8.62134621\n",
|
|
" -7.79944371 -7.71239664 -8.01140399 -7.91964322 -9.90721213\n",
|
|
" -10.12688402 -9.76977145 -8.2918774 -8.81014762 -9.61864122\n",
|
|
" -10.12039827 -9.20499615 -8.87624504 -9.40600524 -8.89273781\n",
|
|
" -8.79566026 -7.82701527 -8.52906836 -8.85673051 -9.24883866\n",
|
|
" -10.71235361 -10.41623333 -10.15517806 -10.15006461 -10.38465174]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print (X)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"id": "c1a1bfe2-c158-4e6a-8fc7-d35af9dd7e95",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"(-1.3583317659818988, 0.6020814791099101, 0, 99, {'1%': -3.498198082189098, '5%': -2.891208211860468, '10%': -2.5825959973472097}, 222.8689980232281)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print (adf_x)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "3929dbf9-e1bb-4a83-a70e-661990f1822c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"'''\n",
|
|
"1. ADF Statistic: The test statistic value. \n",
|
|
" A more negative value indicates stronger evidence against the null hypothesis of a unit root.\n",
|
|
"\n",
|
|
"2. p-value: The p-value associated with the test statistic. \n",
|
|
" This indicates the probability of observing the test statistic under the null hypothesis. \n",
|
|
" A smaller p-value suggests that the null hypothesis can be rejected.\n",
|
|
"\n",
|
|
"3. Number of Lags Used: The number of lags of the dependent variable used in the test regression \n",
|
|
" to account for autocorrelation.\n",
|
|
"\n",
|
|
"4. Number of Observations Used: The number of observations in the sample after adjusting \n",
|
|
" for the number of lags.\n",
|
|
"\n",
|
|
"5. Critical Values: A dictionary containing the critical values for the test statistic \n",
|
|
" at the 1%, 5%, and 10% significance levels. These can be used to compare with the ADF \n",
|
|
" statistic to decide whether to reject the null hypothesis.\n",
|
|
"\n",
|
|
"6. IC Best: The maximized information criterion if autolag is not None. \n",
|
|
" When the autolag option is used, this returns the best lag length based on the \n",
|
|
" information criterion (AIC, BIC, etc.).\n",
|
|
"'''"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "bcbdc80b-c78c-46ab-bb8b-0d8312b9b0cc",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "324941c6-a90f-45ff-a7f9-171c8fe4bb30",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# 08.08.2024 - Not going any data split now, just studying time series\n",
|
|
"# ====================================================================="
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 44,
|
|
"id": "42d21e39-5010-4ffa-9f95-7a181b6b6be8",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"sample shape: 35649\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print ('sample shape: ', sample.shape[0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 45,
|
|
"id": "6b2f753a-504d-48df-bce5-7bdb8211afdb",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"0 8-10-0-0 0.5795 77816.237627 0.580156 0.259667 16.927328 \n",
|
|
"1 8-10-0-1 0.5789 44702.503350 0.578976 0.259666 10.655055 \n",
|
|
"2 8-10-0-10 0.5798 19948.022176 0.579373 0.259656 7.031340 \n",
|
|
"3 8-10-0-11 0.5808 26078.353339 0.580876 0.260160 18.130573 \n",
|
|
"4 8-10-0-12 0.5812 57835.097540 0.581034 0.260055 7.086208 \n",
|
|
"\n",
|
|
" vwap_eth close_ltc volume_ltc vwap_ltc close_btc volume_btc vwap_btc \n",
|
|
"0 0.259844 0.6072 105.048920 0.607253 0.608186 1.961876 0.608431 \n",
|
|
"1 0.259694 0.6074 35.325037 0.607199 0.608049 1.174154 0.608171 \n",
|
|
"2 0.259360 0.6075 180.216241 0.606880 0.608066 0.879813 0.607609 \n",
|
|
"3 0.260233 0.6083 169.073496 0.608250 0.609019 2.323902 0.609004 \n",
|
|
"4 0.260099 0.6078 45.429445 0.608001 0.608821 1.293378 0.608947 \n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print (sample.head())"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 46,
|
|
"id": "99b65487-9f78-44dc-b415-8189785a0fa1",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" date close_xrp close_eth close_ltc close_btc\n",
|
|
"0 8-10-0-0 0.5795 0.259667 0.6072 0.608186\n",
|
|
"1 8-10-0-1 0.5789 0.259666 0.6074 0.608049\n",
|
|
"2 8-10-0-10 0.5798 0.259656 0.6075 0.608066\n",
|
|
"3 8-10-0-11 0.5808 0.260160 0.6083 0.609019\n",
|
|
"4 8-10-0-12 0.5812 0.260055 0.6078 0.608821\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"df_ts = sample[['date' , 'close_xrp' , 'close_eth' , 'close_ltc' , 'close_btc']]\n",
|
|
"print (df_ts.head())"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 47,
|
|
"id": "25490206-866f-4c2c-ba14-5c46ea3dff8c",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" date dly_xrp_ln dly_eth_ln dly_ltc_ln dly_btc_ln\n",
|
|
"0 8-10-0-1 -0.103591 -0.000385 0.032933 -0.022644\n",
|
|
"1 8-10-0-10 0.155347 -0.003851 0.016462 0.002812\n",
|
|
"2 8-10-0-11 0.172325 0.193915 0.131601 0.156669\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/tmp/ipykernel_3577/388518154.py:1: SettingWithCopyWarning: \n",
|
|
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
|
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
|
"\n",
|
|
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
|
" df_ts['dly_xrp_rtn'] = ((df_ts['close_xrp']/ df_ts['close_xrp'].shift(1))-1)*100\n",
|
|
"/tmp/ipykernel_3577/388518154.py:2: SettingWithCopyWarning: \n",
|
|
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
|
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
|
"\n",
|
|
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
|
" df_ts['dly_xrp_ln'] = np.log((df_ts['close_xrp']/ df_ts['close_xrp'].shift(1)))*100\n",
|
|
"/tmp/ipykernel_3577/388518154.py:4: SettingWithCopyWarning: \n",
|
|
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
|
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
|
"\n",
|
|
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
|
" df_ts['dly_eth_rtn'] = ((df_ts['close_eth']/ df_ts['close_eth'].shift(1))-1)*100\n",
|
|
"/tmp/ipykernel_3577/388518154.py:5: SettingWithCopyWarning: \n",
|
|
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
|
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
|
"\n",
|
|
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
|
" df_ts['dly_eth_ln'] = np.log((df_ts['close_eth']/ df_ts['close_eth'].shift(1)))*100\n",
|
|
"/tmp/ipykernel_3577/388518154.py:7: SettingWithCopyWarning: \n",
|
|
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
|
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
|
"\n",
|
|
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
|
" df_ts['dly_ltc_rtn'] = ((df_ts['close_ltc']/ df_ts['close_ltc'].shift(1))-1)*100\n",
|
|
"/tmp/ipykernel_3577/388518154.py:8: SettingWithCopyWarning: \n",
|
|
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
|
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
|
"\n",
|
|
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
|
" df_ts['dly_ltc_ln'] = np.log((df_ts['close_ltc']/ df_ts['close_ltc'].shift(1)))*100\n",
|
|
"/tmp/ipykernel_3577/388518154.py:10: SettingWithCopyWarning: \n",
|
|
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
|
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
|
"\n",
|
|
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
|
" df_ts['dly_btc_rtn'] = ((df_ts['close_btc']/ df_ts['close_btc'].shift(1))-1)*100\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"df_ts['dly_xrp_rtn'] = ((df_ts['close_xrp']/ df_ts['close_xrp'].shift(1))-1)*100\n",
|
|
"df_ts['dly_xrp_ln'] = np.log((df_ts['close_xrp']/ df_ts['close_xrp'].shift(1)))*100\n",
|
|
"\n",
|
|
"df_ts['dly_eth_rtn'] = ((df_ts['close_eth']/ df_ts['close_eth'].shift(1))-1)*100\n",
|
|
"df_ts['dly_eth_ln'] = np.log((df_ts['close_eth']/ df_ts['close_eth'].shift(1)))*100\n",
|
|
"\n",
|
|
"df_ts['dly_ltc_rtn'] = ((df_ts['close_ltc']/ df_ts['close_ltc'].shift(1))-1)*100\n",
|
|
"df_ts['dly_ltc_ln'] = np.log((df_ts['close_ltc']/ df_ts['close_ltc'].shift(1)))*100\n",
|
|
"\n",
|
|
"df_ts['dly_btc_rtn'] = ((df_ts['close_btc']/ df_ts['close_btc'].shift(1))-1)*100\n",
|
|
"df_ts['dly_btc_ln'] = np.log((df_ts['close_btc']/ df_ts['close_btc'].shift(1)))*100\n",
|
|
"\n",
|
|
"# df_ts_rtn = df_ts[['date', 'dly_xrp_rtn', 'dly_xrp_ln', \n",
|
|
"# 'dly_eth_rtn', 'dly_eth_ln', \n",
|
|
"# 'dly_ltc_rtn', 'dly_ltc_ln', \n",
|
|
"# 'dly_btc_rtn', 'dly_btc_ln' ]]\n",
|
|
"\n",
|
|
"df_ts_rtn = df_ts[['date', 'dly_xrp_ln', \n",
|
|
" 'dly_eth_ln', \n",
|
|
" 'dly_ltc_ln', \n",
|
|
" 'dly_btc_ln' ]]\n",
|
|
"\n",
|
|
"# Drop rows with any NaN value and assign it to a new DataFrame\n",
|
|
"df_ts_rtn = df_ts_rtn.dropna(axis = 0).reset_index(drop = True)\n",
|
|
"\n",
|
|
"print (df_ts_rtn.head(3))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 48,
|
|
"id": "9f00dde0-c59f-4ab3-ac96-f0ce7bafb8ec",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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Vsktu2cJY5cqMXbpkOa3coqL0t7c5mjT585tOo1br0kVGWpcXYT4Mh5EjxcevX697/8knumWlpRl/L0v7i2b6+fOW86NZZteu4uOlfkdXGDxYt75nz/TzsWyZ+Dyxsbo00dHml29pOwmHSZOsy7up5TRrZpz2+XPGatRgbMUKy8t99oyx8uWt/z2uXNGlzckxnp6ezo95hscRc0yt//Ztxh4/Nk6/dKkufVyc/m/7zjuWv4twfa+9Jj2fUjni/O0WJTErVqxAhQoVEBAQgLCwMJw219zATezbx68WEhOB0FAgNpZfvVnj88/5ffghQ0yn2biRtwYyvFJ0tcuXTTdlzcridQlCQoC//7Zt+ceOAQ0aABUr8kp/lrZl69ZAy5b6437+WTyt8CpozhzpzXlzcnTFxxpr1/JXlQr4/Xfd+IwMoHx5oHZt4/WaugpLTOQtmW7fBurU4UXPvXrxitOakobVqwHh81DPnuVXRAoF3wYaFy/qXxGb8vffwPXrltOJEeu2//FjXsdBs+60NP39OSeHD9HRutKrGzf4dxZuF3NXqv/+y7eD1KtZU3UgBg7UvV+zBjhxgr/v29f0shYvNl6vcB+Xur9/+CG/3WRIcwtTpeLN8s3deti7l2/D48d5aZNUDx7w7Sfltoaw5eH48fy31RBbZ1oa/99q1KsnPV+WzJ3ruGVpbNzIj91t2/LS22HDgKQkYMsWfjxnjLcs27uXp794kd8mEysJM9fS8Z9/9OttrVypOz4xxutH5cvHt92GDdLyfumS/ucFC3gPvAoFULkyUKKE+TsDhiUxV67oPickeHBDBAcGVTbZvHkz8/PzY+vWrWNXrlxhgwYNYoULF2aJiYmS5ndmSUxiou7qft8+xnr14uMYY6xQIdNXXIwxtnWrbtypU/wqvU0bxqZN06URzqdWM9atG2OdO/MrQ8YYUyqNl3//Pp+WkcHYkSOMZWZK+y6aaH/XLsY2bDCO/tetY2z5cn51IEbsewqvNDRDqVK694UKScsbY4wVL66/HOG8mryqVLykY9Uq01ddu3bx79GuHWM3bvArLrHtWL48Y++/z9icOYyNG8dYxYqMVapk3ZWi8Pd+7TXjac+eMfbtt4yVKMHY8eM87xr375tf7jff6G/3kSMZGzXKON2DB4zdvKn7/MknjPn56S9D4+pVXTqVSn+aWq27krt9m7ExYxiLj+fp2rdn7L33jNetUvHvBjBWpw5jL16Y/05vv83Y4cO6zz/8oHt/8qT4fhEfr0tTpw5j9+7pbxdnDPv3G487d46vNy2NsT59HLs+w+/z4gU/3liaz9eXsbFjGdu0ie/jGllZ+v9v4Tz//mv8u2ucO2d+fRMmMBYTw0s2s7NN/w6a5R47xo+fGRniebHm/8UYYw8fMta2rX6pnanvaTgMG8a/u7k0Y8Yw9vvvus8JCZbz98svfN0XLvB1/PYbPyabSn/mDP8/GY5Xq/W/y9WrjO3dy9jdu4z9/Tcf9/77lvPTt6/+NhOWxIwdq3tv7vgj3EeE48PCmMM54vwNy0mcq0mTJmzYsGHazyqVipUuXZrNmzdP0vzOCmKSk3U/XkCA/o8pthNqhtdfd+wBTmzQ3NIQDrNm8QCoUyfGihbVjRcWGYoNgYH8BGs4/sMP+Wvz5vygaGteixXjAUW7dvpBwrvv8oOcUsnY5s3O32bOHBo2lG/dR45YTlOwIGMVKhiPb9eOsT//ZGz7dt24tWvl+R7HjvETyMKFPIjYssV0WlMXEJ469OjhnOX6+jJWt678388Rw8cf638OCtK9nzlTPyD25GH0aH77y55lTJ/Ob/2J3b6UOjx/rh/0AIw1buzQU+zL86z9528FY4zJVQqUlZWF/PnzY/v27egpKDMfMGAAnj9/jp07dxrNk5mZiUxBrS+lUonQ0FAkJycjMDDQYXkbN44XJRNCCCGEhzOOpFQqERQUZNf5W9Y6MUlJSVCpVAgODtYbHxwcjISEBNF55s2bh6CgIO0QGhrqlLxRAEMIIYS4N7eo2GuNiIgIJCcna4f4+HinrOePP5yyWEIIIcTjXL4sdw7EyRrEFC9eHN7e3khMTNQbn5iYiJCQENF5/P39ERgYqDc4Q7duwK5dQIUKvOY2Y7wW++nT5mtxHz0KGMZVhr3AFi6se69W89YDS5fqxvXuzdd144bx8v/9l+dF2E/AiRP6dzTVat7DorD1CqDfymboUN7Dpia9Rtu2vGZ+Rgavfa9SWVeE6OcHRETw/jLi43m380+e8NYpmnWp1brlMma5cznNtl+92vL6q1QxbiHx9dfiz7LR0PR50qqVcf8hlpjbNoYtrGbM4AeCv/4y36+NxoIFQN265tNkZfFWHGPGGE9r1Yr3o3P9Ot/mpvqW6NyZ93hrqHJl3mKmVi3eP4Uhw1ZAwtYYprz+uu59wYL8v3D2rG5fyMnheWWMtwzZuFF/fnMtiZytZUveAs0VrH1Y6aRJ/HXUKP7/3b+ft34T68/o1i3+n7h7l2/v8+d5nyZSLFjA/8v795t+hlp6OrBuHX//2Wf8mNi7t67TP2vcuMG/z82bfJ0Av9X/5AkwaxZ/JpqmFaE5bdvyPoIcrXhx3jLv7l1g3jzd+HfeEU8fE2N+eYYtDCtW5K+a7SmF5vi6a5f4+gxOt0YGDuTb07D1VVCQ9Dy4lMNq6NioSZMmbPjw4drPKpWKlSlTRvaKvZb4++tXepo7l7H//tNNv3aNsa++0u8H4PJlXuO9bFndfEKGNdTVasaqVePpxo/XtVqyhqbSoKavhORkXplT07pA48IFxn791fRyoqN1eRZWRFSr9Vu9TJhgfR4Z48t58IC3ePn8c8bKlRPfRoyZbzWweTNPI2wRwRjvf0aYbuJE/lqqFJ9u2I+Dpk+Uxo1Nr2vVKp7W1HTGeAuDbt34dzN0/bp++oMHde8vXtSlS0/XTyesIG2tZct4Cwphvjt35p/PnGHsxx/5e8P9Q+x7MqbfYsrctgB0/Qg9ecL7rJBK8x/YsoV/9va2r+KjcOjf33hcdrb+54AA3sJQw7ASaWio5fUI//Nig/C31/Qb1bOncbodO3Tvz5413apL6OhR3TwXLphPK1zXG28wduIEYytXMrZ4sXj6H38U3y+kLF/KcPu25e+n8ccf4ssQ9jejUvHWQ8Lf4803ecvThw/59J07+XvG+H76zTfiyx0xQteXjoawdadhg5Dr1/n448cZa9lSf9qKFbo+sooUEd+WEyboz9OkiXGeNC2ZhIT9+AiXaTivnx9jr76q31eXcLqmZaAj5YrWSZs3b2b+/v5s/fr17OrVq2zw4MGscOHCLEFzxLNAriBGuGP06mXdvPachKz1/Dljq1eLd4RkLU2QFR5unP+rVxn78kvbAi0x48eb30bffmvckqZyZfFOpTSETSzT0nhTc7HgwpDhSU0zXLvGp4tN8/KS9j03beLp1683n06z3GXL+G/wyy+M3bolbR2Wlil1/z1xwvhgmJLCW0NoOuvbuJFPK1WKH5g1aevXty+vQl5e5k98zZuLjzcMSDVB6LFjxt9L897Hx3ifysjQTX/3Xf30pgbGGPv5Z/Fp7drx6S9e6K+nd2/9dJrgxprO0az1xhu69Wk68rPk8WPdPIsWmU/rzCBG2HzfVBCjIfwtxAJ2Q1Wr6i/zq68sz6NS6dJfvWo8/dQpfhFg2EmnqSDmzh3jferZM8a+/54HvB99ZDovw4cbLzMyUv94KEa4Pk33Ho6UK4IYxhhbtmwZK1euHPPz82NNmjRhp4SXPRbIFcTY4+xZfiWg6WPA0wivXp3l0SPGatdmbMEC8+mEfzLDvk8MCfvBsPZEoJlvzBge+AgP8GfP8tKNhw95cJuRYd3ypfTYrFn/ypXW5ducb79lrGZNfnCU4tkz44OoJZq0DRrYnE0jloKYnTsZ++474/HCPmeEvc8a9uvBGD/JFSjAS0jMfS9NENOpk+UgRjifZoiMNA5eNA4c0KWzFOQ6ilrN+xb56y/p8wj7BzIsmTDkzCBGrKsIU0EMY/ykbO6iR0gYxJw5Y/lYo7F/Py+5s0bhwqb/Y9b+/zTEghjG+D5286bp+erV083njFNsrgli7OGJQYync0UQI9Xff/OShPh4y2nPnLE935r5Tpywfl5HGDaMH0hTUuRZv4bm1o6l2xIazghiFArTJ72QEON1a4asLB4MfPaZcZA5f77xvmHuRGUYxDDGr6j37LEuiLHk1i3rbr3JZds2XqpoibVBTEyM9DyoVIzVqqWbV9OXzNmzNn8trSpVXHfME/aBY+j+fV514dEj65ZpKoixZMwY535vR5y/feSrjUM8FWNy50CndWvjCszOEB/Pu8pv3tz56xKzfDnf7nI/hFOssrkUjsy3qf2vYUNd5U9TBgwQHz96NK8k3bmzbpy1D2wsUADo0sV4fNeu1i1HqHJl2+d1pbfekjsH/Pc6d44/ENbLC7h/nzfKcMQ2dOUxz9y6SpfmDSdcZdYs/gDLHj1ct05reVwTayI/dwpirGFPvsuWdU2wZI7cAYwt/Pz4a9u2zl3P2bN8KF5cN85cizRDfn7AlClAo0b25UP4G82cyZ+ttGOHbpywhZ2TeofwaJrfQcPafd7fnz+XKCWFB5WOCgJdeczr04e/1q/vunWaUqAAMHEiUKOG3DkxjYIYYjVPDWKETduJa1y7BnzzDT+hO1PDhsbjpk4FRozQfba2ZMWcMmX4a+/eptPky8cDXx9Befcnn/CTLGM8MCb60tKACRN0n2051hQqBOTP77g82ZoPWy1Zwh8KaapLBKKPbicRq3lqEFO1KrBwIX/aK3GNSpWAkSMdu8w33tA9ZdiSRYsAb2+gfXv+6iiXLwNXr/Kn0JtStKj4+EKFHJeP3MbHTc9IrvzN8ucH+vd33fo8nZvuMsSdeWoQA/COsohn++kn3vmX8IrdFF9f3rGboxUuDDRrJj5t3TreoSGdiOznLrdQN27kt3msuUXpTnx95c6B89DtJGK1du3kzgHJy4oWBcaP55UOAfHeiuX0wQc80MrNJw5Hy5ePV8p1V7Vq8dK3//1P7pzYJiICqFYNmDNH7pw4HpXEEKt9+CEvXjVXlE6Is02ezK+Oq1SROydEqvPneUXnmzf1Hykxdy7QoAF/7y6lL7lJiRK2tyx0dxTEEKt5e8v7DBtCAH6yq1pV7lwQa9Srx4dBg+TOCckt6HYSIYQQQjwSBTGEEEJcSuotI7q1RCxxWhAzZ84cNGvWDPnz50dhEx10xMXFoWvXrsifPz9KliyJCRMmICcnx1lZIoQQ4oaEwQoFLsQaTqsTk5WVhbfffhtNmzbF2rVrjaarVCp07doVISEhOHnyJB4+fIjw8HD4+vpi7ty5zsoWIYQQmVGgQhzFaSUxM2bMwJgxY1CnTh3R6QcPHsTVq1fx888/o169eujSpQtmzZqFFStWICsry1nZIoQQIjNzQYwn90NFXE+2OjGRkZGoU6cOgoODteM6deoEpVKJK1eumJwvMzMTSqVSbyCEEOK5TAU1VGJDLJEtiElISNALYABoPyckJJicb968eQgKCtIOoaGhTs0nIYQQ16HAhVjDqiBm4sSJUCgUZofr1687K68AgIiICCQnJ2uHeHoULCGE5Bp0O4lYw6qKvePGjcPAgQPNpqlUqZKkZYWEhOD06dN64xITE7XTTPH394e/v7+kdRBCCHE/VNpCHMWqIKZEiRIo4aBHADdt2hRz5szBo0ePULJkSQDAn3/+icDAQNSsWdMh6yCEEOJ+DIMYCmqIrZzWxDouLg5Pnz5FXFwcVCoVoqOjAQBVqlRBwYIF0bFjR9SsWRP9+/fHggULkJCQgClTpmDYsGFU0kIIIXkIVewltnJaEDN16lT8+OOP2s/169cHABw5cgRt2rSBt7c3du/ejSFDhqBp06YoUKAABgwYgJkzZzorS4QQQgjJRZwWxKxfvx7r1683m6Z8+fLYu3evs7JACCHEw1DFXmINenYSIYQQl6LbRMRRKIghhBDiUlSxlzgKBTGEEEJk1bmz+HgKboglFMQQQghxKcPgpHJl3XuqE0OsQUEMIYQQl+raVfd+6VL58kE8HwUxhBBCXEp4+6hCBf1pdAuJWIOCGEIIIW6DbicRa1AQQwghxC1RqQyxhIIYQgghbsNH0AWrn598+SCegYIYQoio6dOnQyG4FK5QoYLFp9jLZf369VAoFDh79qzDlnXnzh37M0asVqAAMG8eMHMm4KDnDZNczGmPHSCEEEdbuXIl8ufP77bBFLFejRrG4yZOdH0+iGeiIIYQ4jFWrlyJ4sWLUxCTC1y/DiQmAlWqyJ0T4skoiCGEEOJy1avzgRB7eHwQw162x1MqlTLnhBDPFRkZiYiICFy9ehWlSpXCqFGjkJmZCUD332KMITs7G0qlErGxsahXrx7mzp2LYcOG6S0rKioKHTt2xNq1a/HWW29JWr9arcbq1avx448/IjY2FoGBgejatSumT5+OIkWKAADq1KmDuLg4ANDW1WnRogX27NmD9PR0AMDTp08xfPhwbN68Genp6WjXrh2++eYbFC9eXPK20CwrJSVF+93r1KmDGjVqYMyYMZg0aRKuXLmCkJAQREREoF+/fpKXTQjRER5bbKVg9sztBu7du4fQ0FC5s0EIIYQQG8THx6Ns2bI2zevxQYxarcaDBw9QqFAhvZYUjlC/fn3ExMQ4dJmEEEKIp6levTpOnz7t0GUyxpCSkoLSpUvDy8u2xtIefzvJy8vL5ghOyrIJIYSQvM7b2xuBgYEOX25QUJBd89NZmhBCCCEeiYIYQgghhHgkCmLMaNmypdxZIIQQQmTnrudDCmLMWLduHRhjNNCQq4eePXsiICAAd+/e1Y67evUqvL29AUA7rnz58hgwYIDR/CNHjkTx4sXRtm1b1KlTx+r1//333wCAiIgIo2nZ2dl49uyZ9nNYWBheffVVo3Q//PADAODMmTN6448cOQIAOHLkiOT8aJYVGxur9927du1qlLZ169Zo3bq17L8hDTQ4e1i9erXrT8ISUBBDSB43Y8YMAPxKa/78+ZgzZw7atm2LWrVqSZo/PDwcSUlJOHLkCN5//32r19+6dWt88sknmDdvHt544w0sWbIEK1aswOjRo1G+fHkcOnRIm7Zhw4a4ePEiZs+ejc2bN+Ovv/6yen2EkNzD41snEULsU7duXRw4cABjx47F1KlTUbZsWcyYMQMPHz7ExYsXLc7fsGFD1KpVC9euXcN7771nUx5Wr16Nhg0bYs2aNZg0aRJ8fHxQoUIFvP/++2jevLk23dSpU3H37l0sWLAAKSkpaN26Ndq1a2fTOgkhns/j+4khhMivfv36KFq0KA4fPix3VggheQjdTiKE2OXs2bOIjo5GeHi43FkhhOQxblsSExcXh/Lly8udDUIIIYS4UKVKlXD79m1Jad22JIYCGEIIISTv8fX1lZzWbUtiHP0cJEIIIYS4Px8fH2RnZ0tK67YlMYQQQgjJe1QqleS0bhvEPH78WO4sEEIIIcTFrLlB5La3k7y9vaFWq+XOBiGEEEJcTGpo4rad3VkbwMTHxzvlMeGEEEIIcTylUonQ0FDRaSqVSvvoE3PcNoixVmBgIAUxHi7mWQwC/QNRPH9xubNCCCFERlICGCAXBTHEsz1MeYjKSysDANg0t7zDSQghxAWqVq0qOa3bVuxdvny53FkgLhSdEC13FgghhLiB4sWll8a7bRAzbNgwSY8HT05OljurhBBCCLFRcnKy3nn95MmTkud12yCGEEIIIcQcCmIIIYQQ4pEoiCGEEEKIR6IghhBCCCEeiYIYQgghhHgkCmIIIYQQ4pEoiCFugYE6uCOEEGIdCmIIIYQQ4pEoiCFuQQGF3FkghBDiYSiIIYQQQohHcmoQc+zYMXTv3h2lS5eGQqHAjh079KYzxjB16lSUKlUK+fLlQ4cOHXDz5k1nZokQQgghuYRTg5i0tDS8+uqrWLFihej0BQsWYOnSpVi9ejWioqJQoEABdOrUCRkZGc7MFiGEEOIWctQ5WPvvWtx8QhfwtvBx5sK7dOmCLl26iE5jjGHJkiWYMmUKevToAQDYsGEDgoODsWPHDvTt21d0vszMTGRmZmo/K5VKx2ecEEIIcYE1Z9dg+L7hAAA2jVppWku2OjGxsbFISEhAhw4dtOOCgoIQFhaGyMhIk/PNmzcPQUFB2iE0NNQV2SWEEEIc7kT8Cbmz4NFkC2ISEhIAAMHBwXrjg4ODtdPEREREIDk5WTvEx8c7NZ+EEEKIs1DLTPs49XaSM/j7+8Pf31/ubBBCCCFEZrKVxISEhAAAEhMT9cYnJiZqpxFCiDmMMWTmZFpOSAjJlWQLYipWrIiQkBAcPnxYO06pVCIqKgpNmzaVK1uEEA/BGIPXTC8EzAnAfeV9ubNDiE0UCrqdZA+nBjGpqamIjo5GdHQ0AF6ZNzo6GnFxcVAoFBg9ejRmz56NXbt24dKlSwgPD0fp0qXRs2dPZ2aLEOImBuwYgA4bOkDN1FbPezhWdwG07vw6R2aLEOIhnBrEnD17FvXr10f9+vUBAGPHjkX9+vUxdepUAMBnn32GESNGYPDgwWjcuDFSU1Oxf/9+BAQEODNbhBAnU6lVuPzoMhgz32R0w4UNOBx7GNEJ0Vav4+7zu9r3U/+eavX8hBDP59Qgpk2bNmCMGQ3r168HwIvRZs6ciYSEBGRkZODQoUOoVq2aM7NECHGBD3Z+gDqr6uCrk19JSm9LSczp+6clLeOzPz9Dt43dbFoHcbwsVZbcWXAr1DrJPvTsJEJeYozh8qPLdJB1gJ8u/gQAmH1sttPW8e2/3+p9/uH8D6Lpvjr5Ffbc3IO/7/zttLwQadacXQP/2f7YdWOX2XSXH13GxcSLLsoV8WQUxJA8YXHkYsw/Md9smvXR61FnVR103djVRbkiGpZuO0lxMv6k2enZqmy710Hs8+meTwEAb29722SaLFUW6qyqg1dXv4q0rDRXZU0SxhjuPL/jkP1Vgyr22oeCGJLrpWWlYdzBcZh4eCKSXiSZTLf8zHIAwKGYQ67KWq5iz4GdwfndrbtiHcR+L7JfaN8/z3guX0ZEfHXyK1T8piI+P/S53FkhL1EQQ3K9HHWO9n1GDj1c1Bne2fYOaq6saXQrTmrg4MgrW0eITohGrZW1LN72EPMi+4XbfR/iGJrgRWpdL+J8FMSQXE9YXEsnF+fYdnUbriddx6TDk/TGu3J7b7u6DalZqTbNm5CagE/++ATnH54HAPTY3ANXH19Fj809rFpOfHI8CswtgIrfVDSaplKrMOvoLLTf0B5Lo5bSvmhCXqvomte+r6NREEM82u7/duPjXR8jPTvdZBrhQYJuKTjXoshFep+dtb3FAoCUrBR8tOsjvXExz2LMzqPx4c4P8e2/36LBtw3AGMOTF09sytf66PUAgLvJd/HNqW/wyvJXEBnPH2i74cIGTP17Kv6K/Quj9o/CrGOzLC7v6uOrblcvxNk88T965dEVLDy50C1LelMyU6BSq+TOhtNQEEM8WvdN3bH2/Fqjk6cQlcQ417P0ZzbNJ/wtrD1xfXvuW9HxW69s1b7/+87fqLy0st70bFW2aD2Lfbf2ad+3/KEl0rLtDxxGHxiNG09uoNm6ZgB4ixuhaX9PMzv/4ZjDqLWyFgrOK2jzNrYWYwxbr2zFjaQb2nF/xf6Fecfnmf3vDNgxAJ/88YkrsijZ2ANjUWheIdx+etvp66q9qjYm/DkBX/3jmttMW69sRf019XHzyU2z6e4r7yPwy0C0+KEFAGDXjV3Yf2u/K7LoMhTE5AGuPnHffHITkw9PNluJ1tHik6U9zdwTr/LcXYmvSrh8nZ8d+szkNMYYfGf5ou2PbY2m1VlVB0XmF0FCaoJ2nOGzl/6J/8eqvCSkJmj/Y+b2L28vb6uWO2TPEO37Nza+YdW8tvrp4k/os70PXlnxivY7td/QHpP+moRfr/0qOs995X1suLAB3/77rV6lXDndfX4XX5/6GqlZqfhkty64upBwATP+nqHN57P0Z1gatRSP0h4BAO4p72HN2TVmS3bNOf3gtOVEBmxpndRnex9EJ0Sj488dzabbfnU7AODUvVN4mv4UPTb3QJdfuuSqbiQoiMnlDsUcQsmFJbHj+g6XrbPhtw0x98Rco6J9c+wNLtypAulv137D7v92S0q74/oO1F1V1+gqXUhKUfCas2vwV+xfkvNoq+cZz/XqnaiZGipmOn/mtrfwN7P2dzGXPi45Tq8yt3B9N57wEoa9N/dqx1t7ZcoYg2KGAooZCvx88WeUWlQK/X7thxx1Dg7ePig6zyd/fGJ1ZdCbT3VX2afunTLKw+j9o7HqzCqrlmnJgB0DtO+Fj3UAYLJEI1uta7puS8/LziD8PwlL1eqtqYfpR6djxN4R+PzPz1F0QVGM2j8KwQuDEXUvCqFfh+LTPZ+i/+/9Ja3nl4u/GJX2WcvaOjHC48Gd53fMpxX8N4UlkLmpuwEKYiRad34dXln+ikuKJh3p9Z9eR9KLJPTa0suu5aRnp2PF6RVYcXoFHqc9xqO0R1h9djWSM5IBADeSbmD56eXIUmUhJSsFAGxq2WGNe8p72vfmemN1ZUnU0/Sn+N/W/6H7pu6SrnZ6bemFS48uoc/2PqLTR+0bhaILiup9VwD4eNfHCP89HADvH+XTPZ+i/Yb29n8BM9Kz01FkfhEUmlcIEYciAIhvd3tuE0ml2cfEDNs7zOL8H+36CJMPTwYATP5rslXr3nJli/a95mS35coW+M7yNVmKY9gxn8a4A+OsWrfGyfiT+CbqGwzdO9Ri2v239kMxQ4HFkYv1xmersnH87nGT+6nhQzVN/ZZR96K075uva66Xx9VnV+OzPz/Dg5QHFvN5/uF5iydlqQ7cPqB9L/b/Xxe9DgtOLtAb99ra17TvTZU6GXr/9/f16l05253ndzDuoP4+s/HSRpN5EAbzXgrd6Z6BIUuVhWVRy3A96bpzMusibhHErFixAhUqVEBAQADCwsJw+rT1RXLO9tGuj3DjyQ1JB0hPEJ8cr1f0e/XxVVxIuGAy/ej9ozF833AM3zccJReWRPDCYAzZMwSF5xfGhgsb8MqKVzBi3wjUW11Pb77frv1mMS+JqYnaHl6lUjO13m+x9vxa/HzxZ+1ViqnAZdJfk5CjzsHtp7fx+k+v41DMIaRlpeG/J/9ZtX4x72x7B8UWFNN+thTECK8Wrz6+qn0vzPvS00uhzFTi68ivteMO3j6ItefX4qeLP+FhykPEJcdppzmzYuH5hPPa91/+8yXCfw/XW7eG10zdYcVcfqQGO4wxbeVWKY8O2HNzj+h4w04M556Yi8j4SFx5fMXiMjNyMrRXr+ZKzay1+NRioxO8Sq3CsbvHjNIKr8Db/NhG+37z5c1QZioxZv8YrP13LXLUOXiU9ki7fbv80gUAMO7gOLRZ3wYdf+qIpBdJGH9wPFqtb4Whe8QDITVTY9uVbdrP686vw4vsF5h/Yj6uPb4GNVPjnvIe+v7aV3T+5uuaY8ieIfjq5Fcos7gMVp9drZ2WpcrS+y1vPb2FBt82QMVvKuLW01smtpZlx+4eQ/45+bHs9DLtOM2+JbyF6AjCZ3dpaEpVPvvzMwzZPURvmqljkuGx52LiRSRnJGN99Hp8d+47vWlVl1XFN1Hf6I1777f3UHlpZShmKHAk9ojeNOE+oxfEMIZvTn2DkftHosaKGnic9lg77UX2C+y7uc9jSmsUTOaajlu2bEF4eDhWr16NsLAwLFmyBNu2bcONGzdQsmRJi/MrlUoEBQUhOTkZgYGBDstXjjoHvrN8jca3Kt8Ke97dg8uPLqNJmSZ4mPIQX5/6Ghk5GWge2hx9a/fFzxd/RskCJVGjRA08THmIxmUaa3cgzeaefWw2UrJSML/DfCgUCmSpsvDkxROUKlRKuy7GmN790hfZL6Bmamy/uh1H7hzBP3H/4Lvu3yHyXiS6VeuGGsVrwNfbF/HJ8Si3pBwK+RXSu2J98tkTzDo6C0uilmjHTW01Fafun9IrBl/4+kKce3gOf8X+hYtDLqJkgZJQzLC9GSCbxr/z6funoVKr0LhMY2y5vAXv//4+vmj1hVErjUfjH+GLI18gLjkO09tMh7fCGxWLVESRgCLIVGXC18sXPrN8RNdVtWhVNAtthh8v/IjoT6LxasirUGYqEfRlkFV5Pv/JedQLqQeAb/cJBycgJSsFXat2Ra8avXAy/iRuPb2FthXaonLRylh5ZqVRgPv88+co6FcQv177FX2298HosNFY3Gmx9jc13KZeCi/tgT1+TDzGHBijvac9KmwUygWVQ9T9KL3Kq/Fj4nEy/qReSc601tPQqXIn1Auph3y++fhvwBiepj/FjSc30LRsU20eGGN4lPYIv137Dd9EfYPd7+5G5SKVoWIq+Hjxbaxmaiig0AtOrFGhcAXk982PFW+swCe7PxENGP/58B80C22G9Ox0PE1/itSsVFQrVg3pOekoMLeAXtrxTcdjYeRCm/Jii3VvrsOHuz506jpujriJH6N/RFjZMHTf1N1kugnNJqBPrT5o9F0ji8sM8AnAs8+fId+cfBbTdq7SGQmpCVbdDqpStIpowBFSMAQNSjXQu2UnZlCDQfju3+/Qu0Zvkxc75wafw/LTy3E+4TwUUOB8wnmsfXMtWpdvjdSsVNxPuY/6IfXxLOMZMnIy0PDbhibXt+WtLSZLPMU8//w5nqQ/QcyzGFQrVg3zjs/D6nO6QOynXj9ZvO10e+RtVCpSCZsvb0a/X/sBAL5s/yX23tqLJqWbSNqPyxQqg+vDr0PN1JKOY88+f4bCAYWhZmq0Wd8Gx+OOAwA29t6Id3971+R8NUvUxPTW0/HO9ncAAP3r9scPPX7AjKMz8Cz9GRZ1WgQ/bz+L67eGI87fsgcxYWFhaNy4MZYv572lqtVqhIaGYsSIEZg4caLF+Z0VxDRb2wyR9yIdtjxCCCHEU01rPQ3T20x36DIdcf6W9XZSVlYWzp07hw4dOmjHeXl5oUOHDoiMFA8gMjMzoVQq9QZnoACGEEII4WYcnSF3FkTJGsQkJSVBpVIhODhYb3xwcDASEsTvX86bNw9BQUHaITQ01Cl5q1jYuMdNQgghJC+a2mqq3FkQ5RYVe60RERGB5ORk7RAfL61/EGtdG3bNaNxPvX6Ceqoa33f/HgPrDcSj8Y9wbKCuAl69kHq4OUK/86Eyhcogfkw8Ho1/hFsjbqF6seoYHTYa1YtVBwAkjEtAakQqjg08hu+7f4+MyRlg0xjYNIZTH53Clre24MKnF5A+OR2b/7cZW9/aig6VOsDQzDYz8c+H/+Dz5voPJosdFYtdfXdh33v70LlKZ6P5GpdujKpFq+qNm9d+Hnb32w0vhRd+7PkjUiJMtwQRY5j+5oibyJySiZIFSqJx6cY4MuAIhjbSVSbU3GdtUqYJvu32LfL75teb/1D/Qzg28Bj2vrsXQxsNRdxo48qkGi3KtdC+rxtcF8u6LEPMyBg0KdNEcv4DfALwZfsvkf1FNlIjUvFn/z+1044MOIKcL3Lw2zu/oUmZJhjZZKToMj5v/jnUU9WIGRmD/nV1983/G/4f7o6+i4zJ5ivg/tRLV9F5UotJJtOt77Ee297ehtVdV+uN3/y/zUiJSEHmlExcGnIJM9rMwIVPL+DowKNInpiMtEninbnt7LsT2V9k6+2HLya9sHofEFMvpB6CCwSLTtOs7+tOX6NE/hLoUKkDHo1/hD3vilfSzW1WdV0lqb6Bpea4H9T7QO/zmm5rRNO1r6hryebj5YM57eZIyKXrvVXzLQDAN531K7NqtoOXwgsTmk3Q1t8yJ6JFhFXrXtZlGUaHjUbx/MX1xgcXCMYvvX/Bb+9YbrQwrfU0PP3sKTpV7mTVug2FlQmTnPbP/n/i7ZqmnxIuVb2QejjU/xDaVGiDP/r9gRlt3bMkRtY6MVlZWcifPz+2b9+Onj17ascPGDAAz58/x86dOy0uw1l1YoRUapXVHVXJ5UX2CyyOXIwe1XugTnAd0TTPM57j1L1TqFC4Al4p/goA4JtT3+B43HFs+t8m+HobV2hedWaVtjlnv9r9sOnyJu20fz78R9u0spBfISgjlNpKq991/w4fN/jY6u8RdS8Kr619DR0qddALIjQepDxAmcVl9MZ90/kbjAwbCcYYkl4koUQBXSdsVx5dQe1VtbWfSxUshYepDwHwgHVZ1DLMbT8XQQHiFecYY8hWZ4ueaAwr6DYq3QhnBp2x+B3vKe8h9GtdSSKbxqBSq+Cl8IJCocCTF0+Qlp2GckHltOtY+cZKXH50GSvPrtTOo5GckYyDtw+id43ekvZXzTI7V+mMve/uxZP0J0YHbKEz98+gyff6weDrlV7HnzHGv4+heiH1cP4TXesmZaYSiamJ+PHCj3i/7vva/VDMlstbsP3adnzd6WsUCSiCgvMKWlyfo/h4+SD7C95K457yHnbd2IUsVRbGHBjj0PUIf8cbSTdQPH9x9N7aW6+V0vVh11G9OL/4Ee5zAT4BiB0Vi5CCIXxZjGHFmRWoULgCulXrZrR/tirfCkcHHsU95T38FfsX+tXuB19vX2SrsuE3W7d/h78ark0DAPVD6mNpl6X49eqvmNVuFlRqFdKy04z+h5rvMv7geCyKXAQvhRdql6yNrzt9jXYV22Hm0Zl6vRWPbDIS3at3x+s/vQ4AuD/2Pvbe3IsP63+o16IG4M3FaxSvgfKFyxttQ1ONDya1mIQ57eeYTSNG+JtUX15dWyE9a0oWfL198eTFExT/Svz/Mua1MVjcSb9J+62nt1A+qDx8vX31/ueMMWSqMpGYmogNFzbgUOwh1ClZB79d+w2dq3TGuh7rLH5HjQUdFmBC8wnG+dk/Rtugg01jYIzh+3+/x+DdgwEAA14dgJltZ6JYvmL478l/OBl/EkMbD7WpIz5r5JqKvU2aNMGyZbxJnFqtRrly5TB8+HBZK/YSfYwx/HrtVxQOKIx2Fdvhvd/ew+bLm7WtSg7HHMb357/Hsi7LUDx/cVx5dAW3n93Gm9XftHmdT148QZF8RYwOZBqGJ1XhQUfMrhu7tA/02/fePnT5pQtGNhmJb7p8Y3Y+SzQHlo/qf4RMVSa+7fattlWQ1HkB8/kXBjFDGg9BenY6/Lz97AquhUHMvvf2WUjNg3lNq7BaJWrh8tDL6LO9j15rKQCoXKQybj/T70/JMIixh60t5TImZyBgToDeuGefP0OR+UVMzhNcIBgJ4/Vvbe+7uc/hPeiK/fa9tvTS66RSmOZZ+jMUXVAUABAzMgYVi5i+/f3FX19g9vHZAIBTH51CWFnTV/XCbTuiyQgs7bIUrX5ohbTsNER9HCVa4rHgnwXapzub+i6m1lO7ZG1cGnIJAO852cfLx+Z9Wpj3RqUb4eyDswCkBzELX1+I8X+O134Wfo9qy6ppOx8Ujje1PLEgxhE+2PmB9vlcQqPCRmFRx0Umt93o/aO1TbM1+c9R5+DT3Z+iZbmWGFBvgOh8zuaI87flMjgnGzt2LAYMGIBGjRqhSZMmWLJkCdLS0vDBBx9Ynpm4jEKh0BbtAsCm/23Cpv/pSmPaV2qP9pV0RdS1StZCrZK17FpnsfzFzE5vVFrXzLRasWoWl6e5UgX4ifvZ588Q5G9d02tz2ldsj351+lk1z+Hww3j313dNFvsbaliaNyGVGiQ5kreXN1IjUnHn+R3tbyt2e+PWSN7sljFmc7NsezQp0wSn7xv3NWV4Vbm7324UDiiMYwOPodX6VqLL2vuecTNhsduyAIy6NBA6M+gM4pLj8L+t/7OUfV1+zdw6KuCna3ZuePvV0Kx2s/BZ889QyL+Q5HUD/FYIABz74JhRdw9CnzT8RBvEGN72sYa/j7/N8xoaFTbKbPNnXy9fvZ6GAWBE2AhtEJPPR///5S6PK1nTbQ0GNRik16mglKBRrKzCx8sH37/5vUPzJwfZ68T06dMHCxcuxNSpU1GvXj1ER0dj//79RpV9CTFkb1Fn4YDCTi8utaRdxXZ4OO4herzSw2y6/4b/h/3v7beqbo8l79d9H4B1dQUK+BXQC041femIEW5ba7tWt8epj07h13eMe1xVQKGtMzK33Vx0rcY7vzN1CzF2VCwalGpgvBzB96pWrBpCA0OxsfdGKCOUJoPRRqUboXeN3qLTCvmJBxfC9RjexvTz9sO33b7FN52/QXBBy8dKqQHM7ZG8BO2dWu/oXUSY+58U8i+Egn4F4efthyGNhphM50oBPgGi45d2XopXir+CmFExSByfiHVv6m7V+Hn7YVbbWQjwCcC5weckrefK0Cv4tpt4b8zO4Ofth2ahzayeT0onkZ5K9iAGAIYPH467d+8iMzMTUVFRCAuTXomJEKmcfSK1NSCSMl/VYlXRqYp9lQMNbei5AU8/e4pW5cVLIaQY85q0uiGuDBYVCgV61+iNcU2Nu/Rf12Md2DSGiJa6wK1ucF29NEcHHsVv7/yGCoUrWFxXo9KNEDcmTlsCJ6zELcWijotw4VPxnrL9vXUlE3dG3TGaPqjhIIwME69YbqtKRSoh54scbHlri+XEL3kpvJA0IQnPP38uWp9ODj2q6y4KapfU1YUbETYC14ZdQ9nAsihZoCQ+qP8B0ienQz2Vn+SntJqC9MnpqFGiht7yTNW6qFmiJgY1HOSEb2De8Q+Oo3eN3rg72rjXYDGft/gcRQKKiP4nPJ3st5MIcYT6IfUtpnF2kbArSxscQaFQoEg+0/VBpPD38UfShCRtBcfKRex7GJ69fu/zu/b9wo4LsShykaT5ZredjSlHpgCAXUGdtbf5xjYda3La/A7z8e/DfzG8yXC9nrydzZY6KY68FeQIvt6+ODPoDCLjI9Gntvleek2V2ljj0pBLuPLoislHMDhai3It9FpiWlI2sCweT3jsMQ1UrOEWJTGE2Oripxcxruk4rOy6Uu6s5FnC2w7WXME7WpsKbdDzlZ564zb23qh9b64Z7rhm4zC+6XgcHXjUYflpHsrrLQhLBYRdN0xpOcXs/KFBobg+/DqGNxnusDzlJY1KN8KIsBEmGwZYw9IFUO2StS0GS3LLjQEMQCUxxMPVCa6DhR2lPUfH00pKPMmJD04g5lmMtuKxIVds+yIBxqVK/er0w2tlX+PP/zJzSyvAJwBfdfzKIfnoWLkjDt4+iK1vb0WpgqX01vtK8VfApjGkZ6fLUjmb2MbaRrx0rHEdCmIIcRC5KwnLqXm55mherrnJ6a7YNku7LBUdb675sTPsf28/MnIyzAYpFMDkbu7SmikvoCCG5Bn1S9VHvZB6CA10zqMqDCuIEp3GpRs7fR1lA8s6fR2GSuYvaTROoVBQkJLLFMlXBLHPY+XOBhFBQQzJM3y8fPDv4H8dvtybI27iYcpDs73O5lWXh1zGtqvbcl2riF/f+RU/X/wZ09pMs5yYmFSygHEQ6I429t6I/r/3xxetvpA7K8QABTEkT3HGbY0qRaugStEqDl9ubuCITg/dUe8avU32+0Is2/PuHiw8uRBr31wrd1YkqV68Ok4PMu5AkciPghhCCCEu9UbVN/BGVcc+usGdUMVe16Em1oQQjyfsGI7kTYMa8E7n3KXXYOIaFMQQQjzK/A7zjcZ92uhTGXJC3MmKN1bgxAcn7Hp+E/E8Tgti5syZg2bNmiF//vwoXLiwaJq4uDh07doV+fPnR8mSJTFhwgTk5OQ4K0uEkFxgQrMJuDXiltzZIG7G19sXzcs1d5tHHxDXcFqdmKysLLz99tto2rQp1q41rrylUqnQtWtXhISE4OTJk3j48CHCw8Ph6+uLuXPnOitbhBAPp1AoULmo/uMNulXrJlNuCCFyclpJzIwZMzBmzBjUqVNHdPrBgwdx9epV/Pzzz6hXrx66dOmCWbNmYcWKFcjKynJWtgghuVCHSh3kzgIhRAay1YmJjIxEnTp1EByse4x8p06doFQqceXKFZPzZWZmQqlU6g2EEEKIu5Cj48W8SrYgJiEhQS+AAaD9nJCQYHK+efPmISgoSDuEhjqn91VCCCHEGrv77cbQRkMxtPFQubOSZ1gVxEycOBEKhcLscP36dWflFQAQERGB5ORk7RAfH+/U9RFCCCFSdK3WFSu6roC/DzX5dxWrKvaOGzcOAwcONJumUqVKkpYVEhKC06f1e0BMTEzUTjPF398f/v60gxBCCCF5nVVBTIkSJVCiRAmHrLhp06aYM2cOHj16hJIl+fMz/vzzTwQGBqJmzZoOWQchhBBCci+nNbGOi4vD06dPERcXB5VKhejoaABAlSpVULBgQXTs2BE1a9ZE//79sWDBAiQkJGDKlCkYNmwYlbQQQgghxCKnBTFTp07Fjz/+qP1cv359AMCRI0fQpk0beHt7Y/fu3RgyZAiaNm2KAgUKYMCAAZg5c6azskQIIYSQXETBGGNyZ8IeSqUSQUFBSE5ORmBgoNzZIYS4iGKG7iF7bJpHH8YIyZMccf6mZycRQgghxCNREEMIIYQQj0RBDCGEEEI8EgUxhBBCCPFIFMQQQgghxCNREEMIIYQQj0RBDCHEounTp0Oh0DVprlChgsVHkNhKoVBg+vTpTlm2mPXr10OhUODOnTsuWychxDEoiCGEuLWTJ09i+vTpeP78ud74kgVKypMhQojboCCGEOLWTp48iRkzZhgFMYf6H0KHSh1w6qNT8mSMECI7pz12gBBCnKlOcB382f9PubNBCJGRxwcxmqcmKJVKmXNCSO4QGRmJiIgIXL16FaVKlcKoUaOQmZkJQPc/Y4whOzsbSqUSsbGxqFevHubOnYthw4bpLSsqKgodO3bE2rVr8dZbb0nOQ2ZmJpRKJebNm4cvv/wSAFCxYkXt9IsXL6J8+fIAgC1btmD16tW4du0a/Pz8UKtWLYwfPx7t27eXtK709HQAQEpKivb71alTBzVq1MCYMWMwadIkXLlyBSEhIYiIiEC/fv0kfw9CiGnC44mtPP7ZSffu3UNoaKjc2SCEEEKIDeLj41G2bFmb5vX4IEatVuPBgwcoVKiQXusJR6hfvz5iYmIcukxCCCHE01SvXh2nT5926DIZY0hJSUHp0qXh5WVbFV2Pv53k5eVlcwQnZdmEEEJIXuft7W3zk6bNCQoKsmt+OksTQgghxCNREEMIIYQQj0RBjBktW7aUOwuEEEKI7Nz1fEhBjBnr1q0DY4wGGvLM0LNnTwQEBODu3bvacVevXoW3tzcAaMeVL18eAwYMMJp/5MiRKF68ONq2bYs6derYlAcAmDZtmvbzqlWrAADnz5/XS3fz5k14eXmhV69eUKlUetPUarXk9f3www8AgNjYWL3v17VrV6O0rVu3RuvWrWX/nWigwdXD6tWr5TkRW0BBDCFEa8aMGQD4Vdf8+fMxZ84ctG3bFrVq1ZI0f3h4OJKSknDkyBG8//77DslTw4YNAQCTJ0/GTz/9hM2bNyMtLQ1VqlTB5MmT8fvvv6Nly5ZYtGgRli9fjgEDBmDSpEkOWTchxL15fOskQojj1K1bFwcOHMDYsWMxdepUlC1bFjNmzMDDhw9x8eJFi/M3bNgQtWrVwrVr1/Dee+85JE+NGzfGrFmzsHr1auzfvx9qtRqxsbEoUKAAZs6ciYoVK2LZsmWYPHky8ufPj7p166J///4OWTchxL15fD8xhBD3Ur9+fRQtWhSHDx+WOyuEkFyObicRQhzm7NmziI6ORnh4uNxZIYTkAVQSQwix2+XLl3Hu3DksWrQISUlJiImJQUBAgHa6SqXC48ePzS6jYMGCKFiwoMPylJqaitTUVLNpSpQooa20TAjxPG4bxMTFxWkf8EYIIYSQvKFSpUq4ffu2pLRuezuJAhhCCCEk7/H19ZWc1m1LYhz9MEdCCCGEuD8fHx9kZ2dLSuu2JTGEEEIIyXtUKpXktG4bxFiqBEgIIYSQ3MeaG0RuezvJ29sbarVa7mwQQgghxMWkhiZu22OvtQFMfHw8AgMDnZQbQgghhDiSUqlEaGio6DSVSiWp+wO3DWKsFRgYSEGMJ2Nq4PhbQFBN4NXZcueGEEKIjKT23+S2dWJIHpP4N3Dvd+DKHLlzQgghREZVq1aVnNZtg5jly5fLnQXiSupMuXNACCHEDRQvXlxyWqcGMceOHUP37t1RunRpKBQK7NixQ286YwxTp05FqVKlkC9fPnTo0AE3b94EAAwbNgyMMYtDcnKyM78CIYQQQpwoOTlZ77x+8uRJyfM6NYhJS0vDq6++ihUrVohOX7BgAZYuXYrVq1cjKioKBQoUQKdOnZCRkeHMbBFCCCEkF3Bqxd4uXbqgS5cuotMYY1iyZAmmTJmCHj16AAA2bNiA4OBg7NixA3379nVm1gghhBDi4WSrExMbG4uEhAR06NBBOy4oKAhhYWGIjIw0OV9mZiaUSqXeQAghhJC8R7YgJiEhAQAQHBysNz44OFg7Tcy8efMQFBSkHUy1MSeEEEJI7ua2rZNMiYiIQHJysnaIj4+XO0uEEEIIkYFsQUxISAgAIDExUW98YmKidpoYf39/bcd21MEdIYQQknfJFsRUrFgRISEhOHz4sHacUqlEVFQUmjZtKle2CCGEEOIhnNo6KTU1Fbdu3dJ+jo2NRXR0NIoWLYpy5cph9OjRmD17NqpWrYqKFSviiy++QOnSpdGzZ09nZosQQgghuYBTg5izZ8+ibdu22s9jx44FAAwYMADr16/HZ599hrS0NAwePBjPnz9HixYtsH//fgQEBDgzW4QQQgjJBRRM6vOu3ZRSqURQUBCSk5Opfowne7AP+PsN/v5dj94lCSGESOCI87fHtU4ihBBCCAEoiCGEEEKIh6IghhBCCCEeiYIYQgghhHgkCmIIIYQQ4pEoiCGE5G7ZqUDGI7lzQQhxAgpiCCG52/YiwG/BQEaSa9aXdApIT7ScjhBiNwpiCCG5G8vhr0/POX9dj08CB5sCv5t+/hshxHEoiCF5w6MTQOJRuXNBcrsE3bPgkHxdvnwQz8EY8OAAld7ZiIIYkvupMoFDLYHDbYDsFLlzQ/KKpJNy54B4gjsbgb87A39UkTsnHomCGJL7qTJ077OTTad7cR/4uxu/KiLEJsJHZihkywXxIA9289ecVHnz4aEoiCG5n0LiyeT0p8CDPfyqiLi/2J+BvfWA1Fi5cyJO6n5H8jjaT+xBQQwhGukP5M4BsUZkf+D5BeDscPHpsT8B/610bZ70GBxe1TnAhS/ydt0sVSav/KxWyZ0TkktQEEPyFs9+aDsRI1YMzxgQGQ6cHeb6/GgYlsTc+ha4MpvXzcqrIsOBP5sDl6bKnROSS1AQQ9yDU4ML4cmEgphc5/E/wPMrcufCmCpT/3PKLXny4U7itvLXa1+ZT6fK0K/LlqvR7SR7UBBDHO9ZNBD1Ma8oS4izMRWwt7bhSFmyouf0ICD5qi5Apzoy0jA18GtxYFsgoM6WOzfEzVEQQxxvX33g9lrg5PvS57H1AM+Y8RWv3KI+Bs6OlDsXeY9bnPAMgqc9tYDLM19+oCBGy1zJa3YKkJPGf093e1xEdgqva5X1TO6ckJcoiCHOk3zZ+euI+hjYEgAob5pJ5MKTx4t7PID7b1keKg6XgdhJ8L8V5qfL5dJ0/ioM1HPbSfD0EODcaLlz4XxRg3i9nmO9HLdMKqGzCwUxxLPFrOOv1xdJnMHJJzd1jmBVaueuy509OgEc6Qwo/zOf7skZ/V5upRJrSfb8ku698prxdHMni5wXwO0fgPQE6/Nii+1FgecuCPJd4cUD4NZq4MY3fDvmZnFb+OujPNzCzM1QEENyP+HJy9lX6AqqRAyA95D88ABw3MIV64EmwF8dgPSH1i2fWWiiu7eOdcuL/hyI+hD4s4V181nF4HArOfB2c+oswQep+7wL/hsP9gNH37R+3yIehYIYkkuYOSjKdWvBnW5pyCUtXlo6ayuBq9JNT8t8Yt2yAODeDv6aetv6eaUyLAmKWW8+PVPz+hdmb5XmRg763/zdBbj/B3B2hGOW5zR0O8keFMQQz5V6R+4cuIYqy3IaV8l6BmQrTU/PVgIZSTYs2MoT14UpxuNi1gFZyaZPWifeATYqgP2NReor2XkiSb4OHH8LeHbBTCIr1xG7gde/2F0NyHxqV/Yky3wK/FFNfPtKIvU7ujDAp04sczUKYojnSr6qe39/t8SZnH3wdPDtpFMfAVvzuUfAlvOC1+XYFsTrsggxxusDbQsCfishnOCcvDw08XyrvXV1pSqGNM/NenoWiNtuMNHOIObI60D8r8C9380ksnIdpz7Qvf+7q03Zstql6UDKTeDKHP7Z2tJE5Q2HZ8lubl8iasO+9+wCcP4zIOu5w3PjaSiIIblD+gMzFSXd6D69IVUGkHTKdCXgmHV82o2lrs2XmLQ7uvcHmuhPO9KRBzhGJG5TR51oXsSZv9WkXV+O/ucXcfqfM5LMn5DPT9Av0Xlxz7p8WuvJKecuX+O/Zbr3h9sBuypJOFEKfrv9DcSTpNwCbn0nmMXJ/7XUGMEHwbpUWY4NtNIf8tuCrm6JuK8e7zDw3zGuXa8boiCGWCc1RtcCR5XFnwMjVz8t6QYnjhQpdQfcrCTm+P+Ag02Bawv5rRqpfZ1cngNcnG5D/pwgJw1IOATkpBhPk7xvWPu7OPB3NNzm1xbx0qTdr4g/XJIx/ns9PQvc3Sx9PWIVed25lCDxCA9cb66073YWY8AfVYHTg82niY7g3RPYIyeNP94h8Yj49COv8981/jf71qOxqwovMbP59pudnkVbTpOVrN9qMpehIIZIwxivT7CrMn/2i1oFbPHn7//pC9zZzK/c0hNtX741XtwDTn+iP07hbXm+tLv8VZ3Dm/ZmC5+744AKdsJWM1K+04O9/DV6Ii/J2OzHAxRz8z7YD1ycAlyeoesM7NlF57fCMNXx2NUFpucxLPEA+CMCkq/bmRk7T/7ZKcA//YC4bcYnzvPjde/v7TKe9/4fuvdqifWV7v0hnvZod2nz2+PZBd75YsZj2+a/MBn4tZjpp4U/OW1+ftGWZIxfBGn6y3kSBVz9kvf7ZI+zI/lxQW85gn3l0TH++t9KXgKqynz5iIOXwXZWMm9qny0SkBvKVgKql03K7/9he6BgTz8xlroweHEP2F4YONiMf76zEYj7VTc9K9m9A2kJKIgh3It7xgeprOfA7ZeVJaMn6sY//ge487Pu870dwMl+/OrnwkS4xOVZxuMUpnZnwZ/0cDt+sr8yjzftPWqirsGVuSKLebmch38CKSKtWG59B+yqKL5eMSoTTVMvTjFdr4Mx3upCu4xMXlS/71Xg99Lm12evqEHi483WAzGQ8Zg/ImBPDYODvpUHUnsPvOdG8lKUE+8AZ4aYTvfvaONxwhKVjEfSSs+OvSk+/sEe2wN/UxKP6t/e2leP3yb6raR+uvQE4OI06S3I4rbxV8Z4aVXi3/xW5z99xdOrMnnJiCl7avLAPT2BP9naETT9RgmJ7SuJh3kJ6JYAYEs+/srU/D8U9SF/5IElyYK+iFL+4/XBhPX0nEVYKqZ6AfxaEjjRh1/cGH5XTcDy9Ay/RXryPeDEW/zYkxTFA5zIAabXpc4B4nfwY7ubBjsUxMjp2QXeksLWKySpLO18qXeAHaH8/remZCLrGXCoDRD1Ed/RrxlcbZtqASLWbPSJWEVKg/yJ9WCa8Vg871nJvMjYiJcuMDD3naMG6Z6iq7kyM3RhMg9WNMv6px/wRxV+oDjSkb8/1JZvB83J2Ki4XJAHsau0aDMB38P9xuP21AE2Gfxlj/cyfSWsVvH8Su0dNlvkadBCqSIPMGRq/U7mxGwpwINhgO9jGjvLC5Zj5vdS3uCVGIUdqalk6FTt3i5eGincZy5+wUvP7HFO5L8k5WQY9yvwOFK/PlXiEV46uiNUfJ7Lc3Tvj/+PPxLhyOvS8nljCV9X/G+8tOpwW2CTmdLP30sDWwvyUhYxmubssT8B58fpxpsqjWEMeHoeyEm3slO9l/uWpWBTlWF+vzJ6gKdBCYrqBXD+c/7+7CggcqD+fu2IIODyHF4qJpT5mD9Y8+8uxscHYUmo8HYvywauzuPv7/zEfwMx177ix5jD7YA7v9iffydwiyBmxYoVqFChAgICAhAWFobTpy0UT7pK2l0e9TLGD1ynPtJFwRlJ/H5kegLfscR6+mTM/I67rx7w33IL94rVvDvv8xP4FZaUqz7NOtPi+EF3kxcvOWCMn3QPtdaVJKTc0m8FcXMlsKf2yx5FzTQXFav/YCgziV/pHmgMnHjbuEWLxvnxQKTgOUs5L4B7O/mVo/AqOT2Bn8hNVR482pXf4tqo4IFXkomD54M9+p83KoAd5fnVlNCRjvx1kxe/ak+N0S8FefQ3//3+HQvEi5RGaH6HRyeAbYX0u8UHgBtfi+cP0L/KA/gjHMQe4/D0HL+60thdg//uAL/6/rsLv2+vzhHfH9Uq4MwwYF9DnsdHx4B/x/GrM01aVRZPZyjhMA8uLFG94MFw8lUgRxAoGTZ9VWfz/fPeH7yYXPkfv025+xV+MN1aADj1IRCzwfI6HWlPbV7qcKyHc5Yft43fXvuzBf8ddlXlz1wy9Hc33fvkq/yK+s9mPJA4PYTfpvtXcCvsxnIe8AtdnMKDLsaApJelH8obvORGbB8WSn/Il3/iLfPpUm7z42TWy2OlpQ4Eow32oXjB7Y7Mx/z/uVEBRPbn//2t+fm+sFEBXJoJi56e5cdyzf/ClENt9D/f+p6/aoLEP6oazCBybH+wG4ieBPy3FIj9kR8zUm7xc8QmL57n618b1BUTBEOxP/N9wfA4r87ht68uSqh7o7nFxJh+EHN1vu593DZ+jNWIDOd5eyC4eMp8AlyYpPt8c6XldctAwZi8ZURbtmxBeHg4Vq9ejbCwMCxZsgTbtm3DjRs3ULJkSYvzK5VKBAUFITk5GYGBEooApcp4BPwWbDy+YCWg2Ubg4Gvi872dwv94wivOlr8CCX8B5f7Hi02TrwJ3N+rP1zMeUPgCFyKAoo2AqkP4Af/cSP3SDYWPbses9CFQ9VPeUqRsT75TFm3Eiw7F1JokfpvE1V77gV/1lGgJ5C8DbC9iPn2LrTwY8jRvXAIKVODBgUbFcOCVcYCXH7+lYo7wt7ZWuT66LtIBwK8oDyZUGUDL3wHfgsBfFq7Aqw4FQntZTucIZbrr1zUhRKrgtkBgDcsn2aBaQPIV1+RJitf/AfKV0j9XGPIrYv1ztioNtNyRojmB1YFWO/nFg1CJ5sDrJ2xfrghHnL9lD2LCwsLQuHFjLF++HACgVqsRGhqKESNGYOJE4+L2zMxMZGbqolilUonQ0FDHBzH7GgDPzjtueYQQQoinCqoFdHXs874cEcTIejspKysL586dQ4cOHbTjvLy80KFDB0RGRorOM2/ePAQFBWmH0FAT937tRQEMIYQQwrlTKZaArEFMUlISVCoVgoP1b9sEBwcjIUH8abIRERFITk7WDvHxEmvWW6v2VOcslxBCCPE0NSPkzoEot6jYaw1/f38EBgbqDU5RS1ChqWBloO5soPEqoPkWoIWJljbe+YB30oCugojVvzjQ7QZfRrl3eF0XMe0O8fnqzAS63+TziCnSAAgIAUq/we8Dd4ziy226AWi8Euj2H9A3C/ApKDJvPUlf3ekaLAbC1gFvPQP6ZAA+BUynrfk58Oo8oPCrrsufo/R+BLxrcLe29jTgf0m8vowz9THoZM63MBDcnr9v9yfQaoflZby2nt+3L1jZwZkTUc4D6zwRz1IsTO4cGKsxAWj6E9BErLUl+LGyupW98pZso//Z1DnHnLdEOjesNsz65biArHVisrKykD9/fmzfvh09e/bUjh8wYACeP3+OnTt3mp75JadV7LUk8wmvJOlfjFfaDW6tfzLOfMI/ewcYz5v+kPfw6FcYyFcaeGWseIdHG1+Oq/wRUG8BbxGUP9RMfygCjPHWHzvK8s9dLgBF6vIn4sb/ClQfCfjk561OTg3QNZ9ruIxXDA7pqN9iyBYhHYFWv/PmeSGvA6+K9O0i9PgfXjm5cB3eGqXBYiBEd6sRyhu8slnxpkCS+O1G+AYBjZbx2vYAD+4qvA9Ef86XKabdId7cPekf3mmcpilxyTZAhyO638FamgAmJw24u4VXXg0QPFfI3HJb7QDKvmwNk3YX2FlB+nqb/gxUfI83mb6/GyjdBfALMk4ntv6mPwFQ8H0jtJf59D3jedPzxxIr+9VfBJRoxvvnMKTZVg/2804LU28BxZvxHmOP9dRPZ+vvYas603klayktQ2zV4w5vJajpabZYmHHTZL8iQPdbfN8vWFG/BVPlj3Sd9tWcyDuOK9Od70fmmkFrdD7HW7qZaykJ8Kvxe78DSjOdFbb8FSjby7i5r7UqDgBeW6fLf2B18UcGtPyN76um9ouAkkDPe4CXr/l9p8U23opSo0AFfjHp7Qf8Ud249WLr3cDRbhBVfQzQcLHu8/G3gfiXF78djvHexQtVBUq21KVRZ/Pvt7eObpzwIujeLmkt5N5lvEVV1nPA/+WjQI500XXb0DebV4I+N8p43poTgXovm16rsnhrT43ej/SPXw7giPO3j0NzZCU/Pz80bNgQhw8f1gYxarUahw8fxvDhw+XMmmX+grb6Zd4wP91QvlLAa1Z0r+1XhO+Mmh1SCoWCt/wxLAkIrArUElSY9vLmrYU0QUzxMKD6y23/9CzvG6JIAyAjQdrTYIs3A9rs4S2wijfl+egk8bkvJZrzAQAq9jeeHlid/wHV2byZpaHGK3VXHRmJvEl6+b48D15+xsvSHBBD2vMBY3nwpzn4NuKVzdHhKG+WDgDVRwE3vuHvqwwGqnxqusm3hk8BoPKHxuO73+L9zYgpKzhYFSgvngbQHcBTY3lA7C046PgWBCqY6IhMKKQj0Oo3HlwXMpEfMfnL8lJBKYo0AGqM1e8TqfUfvMfaxoJWJaU7v3zzskVUkVeBN2N4k9CKLzvlUnib6AXWSepM4683VzivV+QC5YH2f/G+iR4d44HTkU68UzaNtgf5MaBMV36S0rRcef0E/98VqAAEvgKUe4uXHCu8zPcG+04q7+On+MuWloXr6gcxBSvpP4Oo4TdAteFA3VnA5penjvqL9Pt4AYDQ3vy13Z98e1Xsrx88tPyV91GjUe4d3s+JRuPVQKnXgQIVef77ZgNgPAi5vxfIF8z7cfLOx/NY1sKJvfIgPq8l5Qyajnc5zwMYMcWbSushXKP5JkA5HQiqyb+TMHjR8PIFCtcGXj/Jm7E3MOiCoayJDhOFNP9HhZf++aJQVV0Q4+Xz8iK2EO/YD+DHwzcu6W8nbz/9lqEODmAcRdYgBgDGjh2LAQMGoFGjRmjSpAmWLFmCtLQ0fPDBB5Znzu1KtuIHtEpO3hZevkC36/yAVayxbnyDxbyUqEAoLyUx1d+DcEf3DuAlTCWaOSmvPnxotAI4a1i8KbjyqzGeDxpFGxkkFSkhA/gBpvVuIP0+UPjllW7JVkCzX4DEv4D6X/FbMy/i+O1FKaViphSy4TZNgyX6vchqSksKVhRLLY3CiwdalgIYw2bbAN9f4k3cXhUTUALodJqvL6gm0DeHB9LmFKwI1JTQH42jmCrt6XmfB9DCq9P8oTwI0PRma0qVT4Bbayyvu9TrfAAA30L604oJ9mGFF9DrIQ9mfPLxcbUFJUXCbdryN+B4b11+X8Tz0kmfAroABuD/K6Hizflv9ewC/18Et325buhfHBkGMRrCUlQhTZCjUeF9no9/x/LPVQ0eJyLMl+aCsa1IZ5Am2XCzoXhTfhwztYy2B/iFklRePrrjiSUlmgK97otPa3eIP/TRsIPJ6mP4BWj5PuLzVf6Q9xuluUgEgEoDeN9TxZvx7j/ElHubX2yZu5CSmex1Yvr06YOFCxdi6tSpqFevHqKjo7F//36jyr55Uru/eP2JoJrOX1dgdX7bQUih4AEMwHf+Yi+fXFxaUPIU9j3f0RuvAvKX07+qdqayPY3HmbvqLNsDqDZS97nqp/y1ZGvjtGW68lIWoQrv8u/q5QvUnc6LuU0FMKW7AW89N5N5M3wK8HpVpii8eH0iR5Ja+lJPpI+h6qMh6ZlTwt+mWGPdPm0pgBHloDvgDZcCvRJ46YIpCsEJVKHgV6fdBLcV6s7mQbwljVcBbfZZmUEL29XbXxfAmBPaiwcd7zJe367tQSDsO8vzKRS8RDmknS6AEZO/nOVlmRNQwvF1okzVMdEo24NfmPS8//JW98tbKB0jeWlumz2m532X8QBT+L8J7Q10ibY72xaFtAfeuGicn4aLTQcwAK8P2SsBaP+3bpzCC2iwyHQAo1GosnGA60bcImfDhw93/9tHcvDyNn9bytU6vbxHf1JQV6byR/y16qe6wMAV8pfmJUWaqzcAZg/6CgVQ8X3ekybAr4yLNuJ9Hzhak1XidVDEFKnPm/MHlOQnR5/8lou+K3/Ar7r8rLi9KKbDUf5AuLqzpaX3FqmA7e0H1F8ofjWev6z+M3wcxRHV+OrOAqq/7O6/6hDe87JUgVV5XYnMJH7FLoVCIbhVJiNvf11JjyXCUhpzul7izw0C+O0lMZrbTnVmmF5P+794nTZH8Ba53Qy87Az0LL8NrPk92h3Uz4vY97a0z/mX4Lc+XS2/FV2M5MudBQOyl8QQDyR8VoucDE8ghvVeDAkPRAoFL56XciUrVcOlvOg1f1np87TayUsCOpzggY/Fe/cvA7WgmkA+ifVRTCnZCmiyWnrApVe8LlBtKL8l0HyzblzBKrzir4aviXkdrZXIU6fFFBZUnhQr6cz38mGaJVuJzx9Yjd8ytecJxAAvxXjtR/uW4Ui1JuveV7ZQyVdMubfFx9cYC/R6ANQx6LoiqLbufXBboKiF+mX2ev0ED0AdFVCWell6bUsLIHtUeXnB+Kob9MAuMwpiiPVenc0rFcrdl47h1ZG54lRX8C9mfT2XAqG8NVWg4XNZTLD3pGkPb39eKR3gFU+14wOAZj/pb39NhcgW2/htSCm3LyQzcVVctBFQtrvprgR6CSqm+xq0hKgYrv/59RP8hN7M4PEgjtbzLlAp3HI6YYDoTLUm8ToSdWbadqvP3P6p2XdcQRikFBL8t7z9eQBqNRP7XJvdvDmyq0thGq/k+3NFO1uQ5gJucTuJeJiClXhdHXsqtTqC8ERUqJp4c3YhpwcArggwZAxiAF6n4vkl031ulHubV3Kt+bIFXLm3jFt9OFuHY8A2keaa/sV53ZTkK8Z9aRi2sipYkQfrchLur64K0H3yAx3/sW4eeZ9cI86/GNBmP3/CewWRlo6OovDiF3SuplC4Nih0YxTEENvIHcAA0mv75yb23kKyl2GLFkPNNgH1vuSBrsu9PJkatuoRMlVvq/ZkIC2WN8m3Rdha3oQ1qDZwaZptyzBU6SMg/jegaEPHLC+vKd2JDw7hhoEaAUBBDCGeocU23vmZWKssd+LlLVMAA/0SgbB1uj4wpPANlNbKyJTKH75sxrrC9mUYKvMG7/qgQAXHLdMZvAX1ylxV94mQl9zgcpqQ3MKJt3rKvcX7qHGHEjC5mQySBBXOKw1wSVaMWLq10voP65YXWF2/A0N35O0HdP4X6HSGd7CYG7njLTMCgIIYQoinabOX98VjSK/1mZse2sp047fcijYSfz6NpypaX78zvrxOzgr4eYyb/tMJkUjTFFbYAR/J3QKrA23ESjQ85Gq5Ql+g8xl5KoS6C83/tbrI83sIsQLViSGerdMZ4OE+oPy7cueErr7kZq7/opoTpT0/h7hGqx2A8j/X9EbuEB4SIOdBVBJDPFv+0rzXYEd2Wkc8lIkTTcOluifzyiHMioe95hVevrx1oacE/vXm81dzj6gQojo0LkMlMYQ4jIcckHMtdzhxGOShT6bpJyETx2q9B4j6AHhtg+OXXf4d3qOwf3HHL5vYhYIYQkjuYHg7ycuXP3U6pL08+akYTgGMK5V5gz/k0FmlOwElpKf1lBKmXICCGEJILmFQCtL7EZCRyCsCu4rwWUuF67puvYRzl+BB6oNBid0oiCHEUdzlAJpXGdZD8Cts+qGVziLHk4yJ++h+E3j6LxD6P7lzkmdQEEOIvYLb8me0lHJUF+fEJu7ydHWSdxWqwgfiMhTEkLyjQHnnLLfdYV73guo/yMwdKvYSQlyJghiSdwSU5P3K+Di4a3SFggIYd+DqW0eEENlREEPyFuoaPXcq1gRo6oSmtYQQt0ZBDCHE83WKkjsHhBAZUI+9hBDiFNRajRBnoyCGECJq+vTpUAiajVeoUAEDBw50+Hru3LkDhUKBhQsXOnzZ1jL8zjZ5ZSxQsApQ5WPHZIoQYhIFMYQQj7F3715Mnz6df6g7i79WHy1XdsQ1WAR0/w/wDZQ7J4TkehTEEEI8xt69ezFjxgz+odZkoNsNoMFieTMlhjo+JMQlqGIvIcQzKRRAYDW5c0EIkZHHBzHsZVfjSqVS5pwQ4rkiIyMRERGBq1evolSpUhg1ahQyMzMB6P5bjDFkZ2dDqVQiNjYW9erVw9y5czFs2DC9ZUVFRaFjx45Yu3Yt3nrrLYvrTklJAQBkZGRg3rx5WLVqFR4/foyGDRti4cKFqFmzJgBgyJAh2LhxIwDo1VtJTk4GAKjVaqxZswYbNmzA7du3UbBgQdSrVw9TpkxBgwYNJG0Hw+8MAEFBQRg0aBDatGmD2bNn4/bt26hUqRLmzJmDDh06SFouIcSY8NhiKwWzZ243cO/ePYSGhsqdDUIIIYTYID4+HmXLlrVpXo8PYtRqNR48eIBChQrZ36rAQP369RETE+PQZRJCCCGepnr16jh9+rRDl8kYQ0pKCkqXLg0vL9uq6Hr87SQvLy+bIzgpyyaEEELyOm9vbwQGOr7FXVBQkF3z01maEEIIIR6JghhCCCGEeCQKYsxo2bKl3FkghBBCZOeu50MKYsxYt24dGGM00JCrh549eyIgIAB3797Vjrt69Sq8vb0BQDuufPnyGDBggNH8I0eORPHixdG2bVvUqVPH6vXHxsYCAPLly4d79+5px0dF8Yc6jh49Wjvu888/BwA8e/ZMbxl//fUXAGDkyJFGy1er1ZLzMm3aNL3vzBhv9zBs2DCjtKa2Bw005MZh9erVLj3/SuXxFXsJIfaZMWMG9u/fj5YtW2Lo0KHIycnBsmXLUKtWLVy8eNHi/OHh4Vi6dCmOHDmC+fPn25yPKlWqoEWLFhgyZAgyMzOxZMkSFCtWDJ999pk2TcOGDQHwYKVTp07w9vZG37590bZtW/Tv3x9Lly7FzZs30blzZ6jVahw/fhxt27bF8OHDbc4XIcR9URBDSB5Xt25dHDhwAGPHjsXUqVNRtmxZzJgxAw8fPpQUxDRs2BC1atXCtWvX8N5779mcj/DwcHh5eWHJkiV49OgRmjRpguXLl6NUqVLaNL1798aIESOwefNm/Pzzz2CMoW/fvgCAH374AXXr1sXatWsxYcIEBAUFoVGjRmjWrJnNeSKEuDeP7yeGECK/+vXro2jRojh8+LDcWSGE5CFUJ4YQYpezZ88iOjoa4eHhcmeFEJLHuG1JTFxcHMqXLy93NgghhBDiQpUqVcLt27clpXXbkhgKYAghhJC8x9fXV3Jaty2JcfRzkAghhBDi/nx8fJCdnS0prduWxBBCCCEk71GpVJLTum0Q8/jxY7mzQAghhBAXs+YGkdveTvL29oZarZY7G4QQQghxMamhidt2dmdtABMfH++Ux4QTQgghxPGUSiVCQ0NFp6lUKu2jT8xx2yDGWoGBgRTEEEII8SxqNbBtG/DaawC1ytWSEsAAuSiIIYQQQjzOunXAoEH8vXvW7nC5qlWrSk7rthV7ly9fLncWCCGEEOeiR3UYKV68uOS0bhvEDBs2TNLjwZOTk+XOKiGEEEJslJycrHdeP3nypOR53TaIIYQQQnI96tjVLhTEEEIIIcQjURBD3Ed2Nq+pTwghhEhAQQxxD2lpQIkSQMuWcueE5EbU6oOQXImCGOIejh0DkpMBKyp0ESLJ228DtWoBWVly54QQY1Qnxi4UxBBCcrft24Fr14C//pI7J4QQB5M9iJk+fToUCoXe8Morr8idLUIIIYS4ObfosbdWrVo4dOiQ9rOPj1tkixBCCCFuzC2iBR8fH4SEhMidDUIIIYR4ENlvJwHAzZs3Ubp0aVSqVAnvvfce4uLiTKbNzMyEUqnUGwghxC2kpQGtWwOLFsmdE+IpqGKvXWQPYsLCwrB+/Xrs378fq1atQmxsLFq2bImUlBTR9PPmzUNQUJB2MPUYb0II0eOKZtarV/OWduPHO39dhBD5g5guXbrg7bffRt26ddGpUyfs3bsXz58/x9atW0XTR0REIDk5WTvEx8e7OMeEEGLCixdy54CQPEX2IMZQ4cKFUa1aNdy6dUt0ur+/PwIDA/UGQhzi+XN+BX3+vNw5IZ6KOtUjxKXcLohJTU3F7du3UapUKbmzQvKasWN5XYYGDeTOCSEkr6A6MXaRPYgZP348jh49ijt37uDkyZPo1asXvL290a9fP7mzRvKaCxfkzkHec/QosGuX3LkgRJqjR4HQUGD3brlzQl6SvYn1vXv30K9fPzx58gQlSpRAixYtcOrUKZQoUULurBFbXbgALF8OzJgBlC4td26IO2vThr/GxwNly1o/P2PueyWbkwNQn1e5S9u2fJ/r3p1uHboJ2UtiNm/ejAcPHiAzMxP37t3D5s2bUblyZbmzRexRrx7w/ffA++/LnRMiJ2sO8gkJ1i//66+B4sWBy5elLcPVJ51ff3Xt+oi+AweAHj1s27dMocDF7cgexJBc7OJFuXOgEx0NnDsndy7yji1beCmcMx/oOXYs8PQpMGwYMHs2UKqUfv8s27cDP/zgvPWL2bhR9z411bXr9gR37gDTpgGPHzt/XZ0781uVI0Y4f132cNeSRA9BZZ3EszEGpKcD+fObTpOVBdSvz9+npAAFC7omb3lZ3778tXt34MkTy+ntucI9dowPAG9dNm4cX97bb1u3HJUK8Pa2PR8AcOOGffPndi1aAPfvA6dO8ZISV7h/3zXrIbKgkhjiPK4oeu3fHyhQALh+3XSa9HTd++fPnZ4lIpCdLXcOpDl+nO9Hq1Y5bpl0hW1ME1D8/bf5dAkJwMOHTs+Ow1y8CMydC2RkyJ2TPIeCGOLZfvmFvy5ZYjoNnUzkIzWQtTbg/fNPxy7v3XeBzExg6FCga1dg3z7r5pfq33/5/tipE6/4S4zl5PBbg6VLOyYosLQvnD3Lbzfb49VXgcmTgXnz7FsOsRoFMcR5rDmRuKrCHFXMyx1GjTI//exZ65Z3757u/d69wBtvWJ8nS5RKoGFD/v7gQaBGDcevwxHOnQOSkoBly/h2mD+fv7qqlCEtTfdeyq1IeyQnA40b89vNjggq//3X/mVIkZnJAy86nlEQQ3IJc39mYUkM/entc/s2UL068N130tI7a3sLgw5DKSlAWJh4XjZvBj7/3DX7wezZ+hWbFy/Wn26iV3JZ/fMP0KgRb+4+ciQvkZo4kb+uWyd37qS7eVP33txvPWyY7r0ttz537QJee836+YRsKSnu2pUHXlL/h7kYBTHEeaw5UdjyR1arpa3LnYOY7duBatVMd7SXkwMkJro2T+ZUqQL89x8weLBjl2vt72Iuvbmr9379gAUL7L9d1LYtULUqrzRuSmws0Lw5EBXFP585Y9061Gref44r/f47f83MNJ5m4qG8APh2cKf6T+3bS0unuR1tqx49dL+vKx0+zF8dWYfLQ1EQQ6xz+jRvHhkbC0ya5Ng+GKx19KjuvdQgxhWePePF1FK8/Ta/anznHfHpLVoAISH237N3hNhY6+dxVtBobrl37oiPX7NG9/7RI917lcq6dR87xium3roFmHhQrR7Nlfrevdat5623gHLlAGs6/lQqgbp1galTrVuXhrCJulQ5OXwfLV9e/8LCVo7YZ4TBn9jyVCrgxAn71uFuF0Ri0tL4/jBhgtw5cRoKYoh0J07wYvpSpYBXXuGV2EqVMn0l4uw/ubDVkVSaPF26xOskbN/u2DxlZABFiwKFC1t3QDfVp4hm227YYHpetZqXjDj7qszc9u7dmweLgwfrl9KY2weE06zdV4T1JgyZKmL/4w/de6VSt07NVa1UmubcgHiJhTXMfW9NqUhSEi89kmL1ar5vz5plX77EmMrr/fs8cH/40HgfYYxPT0w0fwvQVdauBWrXBj78EGjZ0r5lifWD5W6NCDZs4PvDwoVy58RpKIgh0u3fz19VKv1idHvvCdtKeBWck2P6Clx48F25Une1ev269X2JWCJsFmqpIqRw+oMH5tManvCvX9eVIOzfz0/cQ4dal1dH0pxwv/tO/vv0wg7nTBk1ij/y4Px53reMve7c0a9fIdWAAdLSff656WnCYNneoMoca0tZGOMtdsqW5SU1oaHm0yuVtudNqo8/Bq5cMX9RIJXYtj54kPdWbg17Ap9r18xPd6dbfE5CQYzcXNFzpSOcPQvMmWN6uq8vUKSIfv0NZ5XEvHjB//g//qgbt349ULGieF0HYT6++goICtKf/s8/vLM8R7Qs8BL8pSx9/y+/lL5c4Qlk8WJeiuTjw9chvHXlbkXchlfme/fyprOzZtlXEuMIx47xJ5ZfuiQ+vV498ROVYV7T0vi+t3Kl9Xn46Sfxddy9K23+P/7gJX+ah2iKbcczZ3jJg7Nu/QofhigMDlq0kN7keO1a/r90REmGYT0lZ+1bwluSGpmZwKBB/MJC6m8olJYG1KrFlyEmKgro1k1/fcWK8crXcXG8vppUL17w+eSo0+NIzMMlJyczACw5OVnurFhvxQrGAMbmzpU7J5bxQ4HlYeBA3fvAQGnLvnmTsWbNdPM1asTYDz+YTv/hh6bX37WrcXqlUnr+NYOYy5cZmzGDsZQU03m7e1e3DKXS/PeuWVN/ndnZxmk004YPNx4HMHb/PmObNumP27bN/Hpt9eefxtvoyRPG5s83vy2zsxm7cIGxESP0xx87pnt/8qTp9c6dy9MkJopvA2cOixcb52fqVN30gABpy3n40PS0zZsZU6kYO3iQb8+UFPF0KhXfTvv2Mfb8Od8nDH+PGTOM92FhmvR03fjUVMa2btXfT819h9mzGVOrGbtyhbGEBMbatGGsVy/jdKNH8/WYW5avL1+fWs3Y06f60377Tff+3j3G4uMZu3GDf+cTJ/g8QkeO6I4X+/cbr6txY2nf788/Gbt+XXwfjI/nv48wfYUKln93S8cAxhgbMECXPjxc914sL1L2tadPden79dPfHwYOZGzoUP5+8mTjfcUUw23uII44f0vIvfMtX76clS9fnvn7+7MmTZqwqKgoyfM6NYi5eJGxuDjG0tIcs7ydOxnbvZu/37jR+ABkC7WaseXLeV4Z43+26GjL8507xw9EUtl6EpCy85s6ETDG2IsX/CR26ZLu+1avbnp9Pj7Gy09Otj7fDx/q533tWt20kSMZy8hgbOxYxv74g09Xqfi6hct4/pxPe/qUH9gvXDC/TUNC+PjISMa6dOHfWTNNc+BRq/XnSUhgbOFC42UtXMgDKkcyXMdnnzFWt67t+4Zw+Ocf3XpSU3UH/7Q0/XQ9e/ITliPWKXXYupWx48f572cqwLBnGD+esVWr+Htvb9PpPvvM/HJWrWJs2jTdZ5XK+Hdr0oTvu4wxVqUKH9euHR+XnW1++W+8wdi8edK+k5R0ajVj775rPs25c8bjDC9UNOO3bxdfRqNGpvdhseHRI/5/vXTJ+P8mHLy8LC/r2jW+3gcPGCtXjm//M2f08//OO+LzbtrEWE6O+f+g2KA5/mdm6o+/c0f3Pj2dseLFdZ8jIvj+olbr9puTJxlr2FCX5upVW44aZuWKIGbz5s3Mz8+PrVu3jl25coUNGjSIFS5cmCUKr7rMcFoQc++e+A7yyy/6O+jKlYx98AFjnTvzcQUK8Og3IoKxN99kLF8+08sSDtnZjD1+bF0eHz0yfeDw8WEsKUmXNieH75w7d4qv/84dfkVdsybfeZ88YaxMGcaWLePzS/nziA3vvad7f/06Dwo1V4MqFc+XuflDQnTvFyyQts5332WsWzddkKY5QVg7TJrEWGwsP2gKxxcooP/54kXxq7JHj3gAJQxu1Gp+Mnzxwvr8dOhgPO7HH02n9/PT31+qVuXjHz82Di7v3mVs9Wq+r77/Pk93/DifduQIY6dO2b4PSBmOHePrysjQnchv3GDso4+cu968Ovj6yp8He4aMDP4/smaeWrWkpXvlFd37Jk3sy+eZM4z99Zfx+KgoHhTs2GF5Ga+9pvtP2jN8/bXuvdj/OTRU937iROPpbdtad36SwBHnbwVjjMl5OyssLAyNGzfG8uXLAQBqtRqhoaEYMWIEJk6caHF+pVKJoKAgJCcnIzAw0HEZGz4cWLHCccsjhBBCPFXjxryLDQdyxPlb1oq9WVlZOHfuHDp06KAd5+XlhQ4dOiAyMlJ0nszMTCiVSr3BKSiAIYQQQrjLl+XOgShZg5ikpCSoVCoEBwfrjQ8ODkaCiZr08+bNQ1BQkHYItdRsjxBCCCH2qVNH7hyI8rgm1hEREUhOTtYO8c7qlvvcOecsV4ywR865c3mTOUMLF/L+LzZt4p3OrV5tebmDBvF+C/z97cuft7d984uxtUdRT1O+vLzrX7/e8sMSzVm1yramw7Zo29Y16yGEWO/XX+XOgTiH1dCxQWZmJvP29ma///673vjw8HD25ptvSlqGU1snaSo0bdyoa+mhVvMa85pa52o1rwX+xx+8RUtaGm9d8ewZHx8Tw9N9/LF4ZSvD2udCXbrwNDdumE6jaW5cpw6vLDp0KG81o2mBIPTsGR/fsiWf5/XXeaVXTa3zrCxdhc+kJN5q4t49/W0hZXjxgrfgqVWLf//Llxn77ju+fFOUSt6ySriccuUY+/RTxipVYmzXLsbOnpW2fmEt/DVreIVVqXn39ua/ydWrum0xYYJ+miNH9JtSmxo0rlzRVRIUEpvnyBHrtvWuXaannTqlv76LF3nLJ8P1v/YaY3//zVtQMMb3W7H90t6KhVK2lVrNm+1268bfb92qny63VvRt2tRxy8qf3/p5tm5lrEQJy+kKFpS2vLZtHfNdTO3fc+fySu3ffGN5GT4+jP37L2O3b1tO26ABb9Cg+ZyVJZ6ufHnGli61vLw7d/h+vWaN/nhNC6DUVPP/rxo1GAsO5s3wCxd2zDbVdOVgOH73bsaGDOFN0lUq4+nmjt82yhWtk5o0acKGC/rAUKlUrEyZMmzevHmS5vfIfmKWLeM7RYcO5tOpVLx1iyX37pkPhhxB6h+kZUv71iP8s4tRq833S6Jpfvn0qS7QZEy/TwRzg6k/anw8/5MLmwIfO8bY77+LL2fLFsvftVUr/Xn+/FM37flz/ttPmcLY0aO6NIYtrRjjraBGjTIeb4kmbefO0tIbrjs5mW8TWw+mmpPta6+ZXqfwYNq3Lx9n2JTdFcPOnTwvKSnG/ftIGYTbW2y4fp2x2rWNT3bC4coV46DO1LrEfmfD4eRJHqBrgnVL/SlFRfH/x9dfM9anD2MVK5pu7SjsHsBw+O473ftXXjFuxrx7N78Q05xsp09nbNw4XWukNWv0v9/Tp/wkb2p9kydb3hYAD/BzcniLxH79+MUqY4x99ZV+uubN+fgtW0wvq3173UWBcF9++lS8PyjGxFsxSf0tNYPmQknTRYG5/WPxYt04Yd8yGnv28P/m/v2O62bEQK4IYjZv3sz8/f3Z+vXr2dWrV9ngwYNZ4cKFWYLEPkw8MohRq3nphKmd2R2dP2/6jzNxoq7PieXL7VuPWs2vsg4eNJ0mMdF0XgxK9bSkBjG20MxbsiRjrVtLv2I5flz6ujVpVq3ipRRi82iaW2v6rpGab6lBjOF2Z4z/Xpqg3NxQvz4vvbp2jQd/06fzq9ADBywH6nfu8KaompOtq4OYzEz9/Gg6qQT4lavU/cra/a5HD/E0iYn82CE86QlLUQyJlWC++674OoVpevfW76Tv7FnxeYoW1aWZMEG3vcRKSXr21F9P7dr8c6FC9v0HDfMubE4tNYgxp1o1Xbr//Y+PM3UBA+j6dbKWsCNPsf6+zOU/LU1XwqPx5Anf5sLm0xrPnzNWtixjgwfbllcHyBVBDGOMLVu2jJUrV475+fmxJk2asFOGxeBmeGQQ46k0JxHDzpn++4//WQ4ccH6JkIbYFevcuaY715s0yfxJ6ssv+fewhWY5P/9s+7yWDqKaNKtW8VuCBw7w23b20CzznXekpU9IMJ1fSyfxBg3sy6uQuQ7hzA0dO0pLZ9jBniFhEMMYv+K2tExL20hMz56W06Sn81uQqal8G3/6qXi6y5f5VfqOHbzHX1P7jnB94eF8XJ8+jLVoYfq/Lby1Gh+vPy0ri7E5c3TTNbflDYMYTSnfJ5+Ir0MKYd6F/Sc5IojR9LEE6EpY9uxxfBATF8dvH33xhfj01q2N1zVnjuWO6GJieNoPPtAfbxj0uFiuCWLsQUGMDPr0kf7ndyZhR1EVKphP+99/+nkW9jRrL1cHMY7y00+MhYXp6j1ZYi6IOXZM/0CvOaHJEcSEhYmPT0oyHifs4l74vTQdK06bZrz+5cuNt4Ezghhhl/4rVjhu+5kjzJPw5G9ORoZuHlPd7B89yk/6huvRBDGM8RI3e7q3F+Z9wwbx7xEUZH8Qo2Guw0pbgxjGzG+DJ0+Me6yWSqyepMwccf72uNZJxM106iTfukuW1L239OC4qlV5Sy1nsuXhdQEB1qX3cuBf9v33gVOngDJlpKU39/1atuQPn/v5Z6BaNf6k4LJlHZNPQ4yZn26qNVWhQvqff/gB6NVL/MGfEybw9UyfbjytXj3jcbt2AePGmc+X2PSpUy0/iRgAPv3UchpHk9DZKADe+vHkSf5ATcNtrNGqFfDGG+aXU768Yx4ACegvR7i/3LjBHxIbHm7/OvLlk7Z+a5mbt2hRYOBA3Wdruhixt5Wqm6IghlhP+CfbtEm+fAgPIlIOGoZPr3YHhw8D1asDBw6YTzd6NH+67XvvuSRbooRdAZjy3nv8RFGzpv54R52cpKhWTXy8QgG8+SYP2tLSdCcDsaDEnObNgd9/1+/8q3t33g2COWLTZ8wAXnlFPH2PHvy1aFHHBq/mCJvjFywofb6mTXkg6+6Cg4HOnYFly/gT7aWyFDgT2VAQQ+xTpIh86371Vd17a0+Skybx1z59HJcfWzRrBly/DnTsaD7d11/zk2aBAq7JlxiFQvrVuTNZOqEULAgMGSI+bccO4O5dIH9+3ThbAqyePXlQ6Uz9+/Pg9vp1565HaNEiYOhQYPNm163TGSz9poGBwPjx0pfnbkGM5ngxfLi8+XADFMQQ6/n4yJ0DTnigknIiEqbp04efzDZudE5+cqt583hxfEyM3Dkxz9QtJYVCvPNGPz/H50Fz+2TPHtvm9/LiJyspJWCO4u3NH7kid3BvrzfflJZuxAjn5sNZdu7kt/CsCcRyKQpiiPXmzOH3r60pjnU2WwKIcuVcV0yfm3TuDFSsKHcuHKtvX8cvs00bfgVvqS4IcTxh3ZwWLUyns7eX6G7dxMc7+4ImIIDfwqPjFwUxxAblygF37rjHVcDs2fx11Sp58wHkjZIYa2lOEkOHOm6Zzija79WLv4aEOH7ZQj//rHuv2XeJc8TGArt386DblB49gE8+AdautW0dO3cCz57xRgP0e8rCTe4LEGKjyZN5MJVLa957vH37eJ2OunVdsz5zz4kydxu0Rw9ePG+qkq0txILa994D3n4bSE93z4rmuUmFCnwwx8tL2nPoTAXOXl5A4cLA66/zYcoUKzNJ7EUlMcTzSQ1gXFm3gHD+/rwCtqtKqRYvFh9fubL5PCgUvHje3orqPXtaTuPnRwEMIQ5CQQzJOypUAH78EfjjD+csn24nyat6df06AoMH89dmzVz3VPr27V2zHkIIAApiSF4THm66Mh7xbGq1/uc1awCVCvjnH9eVfLhbU1x39frr/HXYMHnzIZW1vytd0LgMBTGEOAoduFyjUiXx8YZBDCBv6w3aH0z74w/g/HleqdZRqlfnr7VrO26ZxO3JGsRUqFABCoVCb/jyyy/lzBIhxN3t3Ste96R1a5dnxUiNGnLnwDP4+/Oekh0Z6B08yB8XsXev45ZJ3J7srZNmzpyJQYMGaT8XMvXsDUIIAfgV9++/658AFyxw7FW9rYR1YlzVIotw5crx/cAZ6Dah25I9iClUqBBCnN03AyGu4C49GedFEybInQNOoQAuXuSPiNDU+yCer0gR3jeWVHQr0WVkrxPz5ZdfolixYqhfvz6++uor5OTkmE2fmZkJpVKpNxAiq9GjeQsYqjBMAKBOHaBfP7lzQRxp40agUSPeuR1xK7JeOo4cORINGjRA0aJFcfLkSURERODhw4dYbKqvBwDz5s3DjBkzXJhLQiz4+mu5c0AIcaZXXgHOnJE7F0SEw0tiJk6caFRZ13C4/vKprGPHjkWbNm1Qt25dfPrpp1i0aBGWLVuGzMxMk8uPiIhAcnKydoiPj3f0VyCEeILvv+evCxfKmw9CiGwcXhIzbtw4DBw40GyaSiaaSIaFhSEnJwd37txBdU1zOQP+/v7wpy7mCSEffcS78A8MlDsnhBCZODyIKVGiBErY2L17dHQ0vLy8ULJkSQfnihCSK1EAQ9wRVex1GdnqxERGRiIqKgpt27ZFoUKFEBkZiTFjxuD9999HEXufX0IIIYSQXE+2IMbf3x+bN2/G9OnTkZmZiYoVK2LMmDEYO3asXFkihBBC7EclMS4jWxDToEEDnDp1Sq7VE0IIIcTDyd5PDCGEEEKILSiIIYQQQohHoiCGEEIIcSSqE+MyFMQQQgghjkQPjHQZCmIIIYQQ4pEoiCGEEEIciW4nuQwFMYQQQgjxSBTEEEIIIY5EJTEuQ0EMIYQQ4kgVK8qdgzxDth57CSGEkFzl0CHg4EHgk0/kzkmeQUEMIYQQ4gjt2/OBuIzHBzHsZXt8pVIpc04IIYQQIpXmvM3s6FfH44OYlJQUAEBoaKjMOSGEEEKItVJSUhAUFGTTvApmTwjkBtRqNR48eIBChQpB4eAa4fXr10dMTIxDl0kIIYR4murVq+P06dMOXSZjDCkpKShdujS8vGxrZ+TxJTFeXl4oW7as05ZNCCGE5HXe3t4IDAx0+HJtLYHRoLM0IYQQQjwSBTGEEEII8UgUxJjRsmVLubNACCGEyM5dz4ceX7GXEEIIIXkTlcQQQgghxCNREEMIIYQQj0RBDCGEEEI8EgUxhBBCCPFIFMQQQgghxCO5bY+9cXFxKF++vNzZIIQQQogLVapUCbdv35aU1m1LYiiAIYQQQvIeX19fyWndtp8YRz/MkRBCCCHuz8fHB9nZ2ZLSum1JDCGEEELyHpVKJTmt2wYxjx8/ljsLhBBCCHExa24Que3tJG9vb6jVarmzQQghhBAXkxqauG1JDAUwhBBCSN4k9ZaS2wYxhBBCCMmbvL29JaWjIIYQQgghbqNq1aqS07ptELN8+XK5s0AIIYQQFytevLjktG5bsZcQQgghxBy3LYkhhBBCCDGHghhCCCGEeCQKYgghhBDikSiIIYQQQohHoiCGEEIIIR6JghhCCCGEeCQKYgghhBDikSiIIYQQQohHoiCGEEIIIR6JghhCCCGEeCQKYgghhBDikf4PB/ORen38OWwAAAAASUVORK5CYII=",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 4 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Create a figure and axis object\n",
|
|
"fig, ax = plt.subplots(4 , 1)\n",
|
|
"\n",
|
|
"# Plot the data\n",
|
|
"ax[0].plot(df_ts_rtn['date'], df_ts_rtn['dly_xrp_ln'], 'blue')\n",
|
|
"ax[1].plot(df_ts_rtn['date'], df_ts_rtn['dly_eth_ln'], 'green')\n",
|
|
"ax[2].plot(df_ts_rtn['date'], df_ts_rtn['dly_ltc_ln'], 'orange')\n",
|
|
"ax[3].plot(df_ts_rtn['date'], df_ts_rtn['dly_btc_ln'], 'red')\n",
|
|
"\n",
|
|
"# Customize the plot\n",
|
|
"ax[0].set_title('dly_xrp_ln')\n",
|
|
"ax[1].set_title('dly_eth_ln')\n",
|
|
"ax[2].set_title('dly_ltc_ln')\n",
|
|
"ax[3].set_title('dly_btc_ln')\n",
|
|
"\n",
|
|
"# # Show the plot\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 50,
|
|
"id": "0d3be40e-7fcf-4219-9456-b98612d80ff3",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<BarContainer object of 32 artists>"
|
|
]
|
|
},
|
|
"execution_count": 50,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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U4gUAABiFeAEAAEYhXgAAgFGIFwAAYBTiBQAAGIV4AQAARiFeAACAUYgXAABgFOIFAAAYhXgBAABGIV4AAIBRiBcAAGAU4gUAABiFeAEAAEYhXgAAgFGIFwAAYBTiBQAAGKVD4qWoqEjJycmKiIhQWlqatm/f3uK6K1eu1BVXXKE+ffqoT58+crlcra4PAAC6FtvjZd26dcrJyVFBQYF27typlJQUpaen6/Dhw82uX1ZWpmnTpuntt99WeXm5kpKSNGHCBH311Vd2jwoAAAxge7wsX75cWVlZyszM1IgRI1RcXKyePXtq1apVza7//PPP67bbbtPo0aM1fPhwPfPMM/J6vSotLbV7VAAAYABb46WxsVEVFRVyuVw/PmBoqFwul8rLy9t0HydOnNCpU6fUt2/fZr/f0NAgj8fjdwMAAJ2XrfFy9OhRNTU1KS4uzm95XFyc3G53m+7jnnvuUUJCgl8A/V+FhYWKiory3ZKSks57bgAAELyC+t1GS5cu1dq1a7VhwwZFREQ0u05eXp5qa2t9twMHDnTwlAAAoCN1s/POY2JiFBYWppqaGr/lNTU1io+Pb3XbRx99VEuXLtWbb76pUaNGtbiew+GQw+Fol3kBAEDws/XMS3h4uFJTU/0utv3h4lun09nidg8//LCWLFmikpISjR071s4RAQCAYWw98yJJOTk5mjlzpsaOHatx48ZpxYoVqq+vV2ZmpiRpxowZSkxMVGFhoSTpoYceUn5+vtasWaPk5GTftTG9evVSr1697B4XAAAEOdvjJSMjQ0eOHFF+fr7cbrdGjx6tkpIS30W81dXVCg398QTQU089pcbGRv3+97/3u5+CggItWrTI7nEBAECQsz1eJCk7O1vZ2dnNfq+srMzv6/3799s/EAAAMFZQv9sIAADgfxEvAADAKMQLAAAwCvECAACMQrwAAACjEC8AAMAoxAsAADAK8QIAAIxCvAAAAKMQLwAAwCjECwAAMArxAgAAjEK8AAAAoxAvAADAKMQLAAAwCvECAACMQrwAAACjEC8AAMAoxAsAADAK8QIAAIxCvAAAAKMQLwAAwCjECwAAMArxAgAAjEK8AAAAoxAvAADAKN0CPQAAAGcjOXfTWa2/f+lkmyZBoHDmBQAAGIV4AQAARiFeAACAUYgXAABgFC7YBXDeuIASQEfizAsAADAK8QIAAIxCvAAAAKMQLwAAwCjECwAAMArxAgAAjEK8AAAAoxAvAADAKMQLAAAwCvECAACMwscDAG3Er8AHgODQIfFSVFSkRx55RG63WykpKXriiSc0bty4Ftdfv369Fi5cqP379+vCCy/UQw89pGuuuaYjRg06Z/OEyZMlzhfHGwAT2B4v69atU05OjoqLi5WWlqYVK1YoPT1dVVVVio2NPW39rVu3atq0aSosLNRvfvMbrVmzRlOnTtXOnTs1cuRIu8cFgKDAmT6gZbbHy/Lly5WVlaXMzExJUnFxsTZt2qRVq1YpNzf3tPUfe+wxTZw4UXfddZckacmSJdq8ebP+/ve/q7i42O5xAQAdhDN9OFe2xktjY6MqKiqUl5fnWxYaGiqXy6Xy8vJmtykvL1dOTo7fsvT0dG3cuLHZ9RsaGtTQ0OD72uPxnP/gAPA/eKJFZ2bamb4Qy7Isu+784MGDSkxM1NatW+V0On3L7777bm3ZskXbtm07bZvw8HA999xzmjZtmm/Zk08+qcWLF6umpua09RctWqTFixeftry2tlaRkZHt9JOcv47+H9+5HojncwCf689oyr7pqMc08fHOFcdb4B/TxMc7VyYdb6Yc3+3J4/EoKiqqTc/fxr/bKC8vz+9MjcfjUVJSUgAnQrALtr+wAILfuf5/o6O36ypsjZeYmBiFhYWddsakpqZG8fHxzW4THx9/Vus7HA45HI72GRhAp8eTAjqzrnJ82xov4eHhSk1NVWlpqaZOnSpJ8nq9Ki0tVXZ2drPbOJ1OlZaW6vbbb/ct27x5s9/LTjizQBzAXeUvDQAgsGx/2SgnJ0czZ87U2LFjNW7cOK1YsUL19fW+dx/NmDFDiYmJKiwslCTNnz9fv/zlL7Vs2TJNnjxZa9eu1Y4dO/T000/bPSoChOhBZ8bxDbQ/2+MlIyNDR44cUX5+vtxut0aPHq2SkhLFxcVJkqqrqxUa+uOnFFx22WVas2aN7r//ft1777268MILtXHjRn7HCwAAkNRBF+xmZ2e3+DJRWVnZactuuOEG3XDDDTZPBQAATMQHMwIAAKMQLwAAwCjECwAAMArxAgAAjEK8AAAAoxAvAADAKMQLAAAwCvECAACMYvynSgPomvi1+0DXxZkXAABgFM68wA//mgUABDvOvAAAAKMQLwAAwCi8bAQgYHiZEsC5IF4AAF0Csdx58LIRAAAwCvECAACMQrwAAACjEC8AAMAoxAsAADAK8QIAAIxCvAAAAKMQLwAAwCjECwAAMArxAgAAjEK8AAAAoxAvAADAKMQLAAAwCvECAACM0i3QAwAAzLZ/6eRAj4AuhjMvAADAKMQLAAAwCvECAACMQrwAAACjEC8AAMAoxAsAADAK8QIAAIxCvAAAAKMQLwAAwCjECwAAMAofDwAAnQy/rh+dHWdeAACAUYgXAABgFNvi5dixY5o+fboiIyMVHR2tWbNm6Ztvvml1/T/96U8aNmyYevTooYEDB+rPf/6zamtr7RoRAAAYyLZ4mT59uj755BNt3rxZr732mt555x3Nnj27xfUPHjyogwcP6tFHH9XHH3+s1atXq6SkRLNmzbJrRAAAYKAQy7Ks9r7TXbt2acSIEfrPf/6jsWPHSpJKSkp0zTXX6Msvv1RCQkKb7mf9+vX6wx/+oPr6enXr1rZriz0ej6KiolRbW6vIyMhz/hnaW3Lupjavy8V2nQ///QGgdWfz/G3LmZfy8nJFR0f7wkWSXC6XQkNDtW3btjbfzw8/QGvh0tDQII/H43cDAACdly3x4na7FRsb67esW7du6tu3r9xud5vu4+jRo1qyZEmrLzVJUmFhoaKiony3pKSkc54bAAAEv7OKl9zcXIWEhLR6271793kP5fF4NHnyZI0YMUKLFi1qdd28vDzV1tb6bgcOHDjvxwcAAMHrrH5J3R133KFbbrml1XWGDBmi+Ph4HT582G/5d999p2PHjik+Pr7V7evq6jRx4kT17t1bGzZsUPfu3Vtd3+FwyOFwtGl+AABgvrOKl379+qlfv35nXM/pdOr48eOqqKhQamqqJOmtt96S1+tVWlpai9t5PB6lp6fL4XDo1VdfVURExNmMBwAAugBbrnm5+OKLNXHiRGVlZWn79u167733lJ2drRtvvNH3TqOvvvpKw4cP1/bt2yV9Hy4TJkxQfX29nn32WXk8HrndbrndbjU1NdkxJgAAMJBtn230/PPPKzs7W+PHj1doaKiuv/56Pf74477vnzp1SlVVVTpx4oQkaefOnb53Ig0dOtTvvvbt26fk5GS7RgUAAAaxLV769u2rNWvWtPj95ORk/d9fMXPVVVfJhl85AwAAOhk+2wgAABiFeAEAAEax7WUjAD/iV/4DQPvhzAsAADAKZ146CP/yBgCgfXDmBQAAGIV4AQAARiFeAACAUYgXAABgFOIFAAAYhXgBAABGIV4AAIBRiBcAAGAU4gUAABiFeAEAAEYhXgAAgFGIFwAAYBTiBQAAGIV4AQAARiFeAACAUboFeoD2ZlmWJMnj8QR4EgAA0FY/PG//8Dzemk4XL3V1dZKkpKSkAE8CAADOVl1dnaKiolpdJ8RqS+IYxOv16uDBg+rdu7dCQkJsfzyPx6OkpCQdOHBAkZGRtj+eSdg3LWPftIx90zL2TcvYNy0zZd9YlqW6ujolJCQoNLT1q1o63ZmX0NBQDRgwoMMfNzIyMqgPikBi37SMfdMy9k3L2DctY9+0zIR9c6YzLj/ggl0AAGAU4gUAABiFeDlPDodDBQUFcjgcgR4l6LBvWsa+aRn7pmXsm5axb1rWGfdNp7tgFwAAdG6ceQEAAEYhXgAAgFGIFwAAYBTiBQAAGIV4OU9FRUVKTk5WRESE0tLStH379kCPFHCLFi1SSEiI32348OGBHisg3nnnHU2ZMkUJCQkKCQnRxo0b/b5vWZby8/PVv39/9ejRQy6XS5999llghu1gZ9o3t9xyy2nH0cSJEwMzbAcqLCzUz3/+c/Xu3VuxsbGaOnWqqqqq/NY5efKk5s2bp5/+9Kfq1auXrr/+etXU1ARo4o7Tln1z1VVXnXbczJkzJ0ATd5ynnnpKo0aN8v0iOqfTqX/961++73e2Y4Z4OQ/r1q1TTk6OCgoKtHPnTqWkpCg9PV2HDx8O9GgB97Of/UyHDh3y3d59991AjxQQ9fX1SklJUVFRUbPff/jhh/X444+ruLhY27Zt009+8hOlp6fr5MmTHTxpxzvTvpGkiRMn+h1HL7zwQgdOGBhbtmzRvHnz9P7772vz5s06deqUJkyYoPr6et86CxYs0D//+U+tX79eW7Zs0cGDB3XdddcFcOqO0ZZ9I0lZWVl+x83DDz8coIk7zoABA7R06VJVVFRox44d+tWvfqVrr71Wn3zyiaROeMxYOGfjxo2z5s2b5/u6qanJSkhIsAoLCwM4VeAVFBRYKSkpgR4j6EiyNmzY4Pva6/Va8fHx1iOPPOJbdvz4ccvhcFgvvPBCACYMnP/dN5ZlWTNnzrSuvfbagMwTTA4fPmxJsrZs2WJZ1vfHSPfu3a3169f71tm1a5clySovLw/UmAHxv/vGsizrl7/8pTV//vzADRVE+vTpYz3zzDOd8pjhzMs5amxsVEVFhVwul29ZaGioXC6XysvLAzhZcPjss8+UkJCgIUOGaPr06aqurg70SEFn3759crvdfsdQVFSU0tLSOIb+v7KyMsXGxmrYsGGaO3euvv7660CP1OFqa2slSX379pUkVVRU6NSpU37HzfDhwzVw4MAud9z87775wfPPP6+YmBiNHDlSeXl5OnHiRCDGC5impiatXbtW9fX1cjqdnfKY6XQfzNhRjh49qqamJsXFxfktj4uL0+7duwM0VXBIS0vT6tWrNWzYMB06dEiLFy/WFVdcoY8//li9e/cO9HhBw+12S1Kzx9AP3+vKJk6cqOuuu06DBw/W3r17de+992rSpEkqLy9XWFhYoMfrEF6vV7fffrsuv/xyjRw5UtL3x014eLiio6P91u1qx01z+0aSbrrpJg0aNEgJCQn68MMPdc8996iqqkovv/xyAKftGB999JGcTqdOnjypXr16acOGDRoxYoQqKys73TFDvKDdTZo0yffnUaNGKS0tTYMGDdKLL76oWbNmBXAymOTGG2/0/fmSSy7RqFGjdMEFF6isrEzjx48P4GQdZ968efr444+77DVjrWlp38yePdv350suuUT9+/fX+PHjtXfvXl1wwQUdPWaHGjZsmCorK1VbW6uXXnpJM2fO1JYtWwI9li142egcxcTEKCws7LSrtWtqahQfHx+gqYJTdHS0LrroIu3ZsyfQowSVH44TjqG2GTJkiGJiYrrMcZSdna3XXntNb7/9tgYMGOBbHh8fr8bGRh0/ftxv/a503LS0b5qTlpYmSV3iuAkPD9fQoUOVmpqqwsJCpaSk6LHHHuuUxwzxco7Cw8OVmpqq0tJS3zKv16vS0lI5nc4AThZ8vvnmG+3du1f9+/cP9ChBZfDgwYqPj/c7hjwej7Zt28Yx1Iwvv/xSX3/9dac/jizLUnZ2tjZs2KC33npLgwcP9vt+amqqunfv7nfcVFVVqbq6utMfN2faN82prKyUpE5/3DTH6/WqoaGhcx4zgb5i2GRr1661HA6HtXr1auu///2vNXv2bCs6Otpyu92BHi2g7rjjDqusrMzat2+f9d5771kul8uKiYmxDh8+HOjROlxdXZ31wQcfWB988IElyVq+fLn1wQcfWF988YVlWZa1dOlSKzo62nrllVesDz/80Lr22mutwYMHW99++22AJ7dfa/umrq7OuvPOO63y8nJr37591ptvvmldeuml1oUXXmidPHky0KPbau7cuVZUVJRVVlZmHTp0yHc7ceKEb505c+ZYAwcOtN566y1rx44dltPptJxOZwCn7hhn2jd79uyxHnjgAWvHjh3Wvn37rFdeecUaMmSIdeWVVwZ4cvvl5uZaW7Zssfbt22d9+OGHVm5urhUSEmL9+9//tiyr8x0zxMt5euKJJ6yBAwda4eHh1rhx46z3338/0CMFXEZGhtW/f38rPDzcSkxMtDIyMqw9e/YEeqyAePvtty1Jp91mzpxpWdb3b5deuHChFRcXZzkcDmv8+PFWVVVVYIfuIK3tmxMnTlgTJkyw+vXrZ3Xv3t0aNGiQlZWV1SX+YdDcPpFk/eMf//Ct8+2331q33Xab1adPH6tnz57W7373O+vQoUOBG7qDnGnfVFdXW1deeaXVt29fy+FwWEOHDrXuuusuq7a2NrCDd4A//vGP1qBBg6zw8HCrX79+1vjx433hYlmd75gJsSzL6rjzPAAAAOeHa14AAIBRiBcAAGAU4gUAABiFeAEAAEYhXgAAgFGIFwAAYBTiBQAAGIV4AQAARiFeAACAUYgXAABgFOIFAAAYhXgBAABG+X/bhXaQ6TZshAAAAABJRU5ErkJggg==",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Figure AutoCorrelations and Partial AutoCorrelations\n",
|
|
"lags = 32\n",
|
|
"acf_vals = acf(df_ts_rtn['dly_xrp_ln'])\n",
|
|
"plt.bar(range(lags), acf_vals[:lags])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 51,
|
|
"id": "ed62bdc7-e372-46c5-8f56-49dd1d0574d3",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<BarContainer object of 32 artists>"
|
|
]
|
|
},
|
|
"execution_count": 51,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Figure AutoCorrelations and Partial AutoCorrelations\n",
|
|
"lags = 32\n",
|
|
"pacf_vals = pacf(df_ts_rtn['dly_xrp_ln'])\n",
|
|
"plt.bar(range(lags), pacf_vals[:lags])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 52,
|
|
"id": "c8952851-4780-40ea-ad53-49cd9028eabf",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<BarContainer object of 32 artists>"
|
|
]
|
|
},
|
|
"execution_count": 52,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"lags = 32\n",
|
|
"acf_vals = acf(df_ts_rtn['dly_btc_ln'])\n",
|
|
"plt.bar(range(lags), acf_vals[:lags])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 53,
|
|
"id": "187e3453-c3ed-49f6-9fcb-e1811fd51677",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<BarContainer object of 32 artists>"
|
|
]
|
|
},
|
|
"execution_count": 53,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"lags = 32\n",
|
|
"pacf_vals = pacf(df_ts_rtn['dly_btc_ln'])\n",
|
|
"plt.bar(range(lags), pacf_vals[:lags])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "4810dd06-554e-4737-b019-968f5563bf4c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "74ba447d-5b54-4ce6-a3e7-27655e2519fd",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Step 1: Test for stationarity (ADF test)\n",
|
|
"adf_x = ts.adfuller(X)\n",
|
|
"adf_y = ts.adfuller(Y)\n",
|
|
"\n",
|
|
"print(f\"ADF Statistic for X: {adf_x[0]}, p-value: {adf_x[1]}\")\n",
|
|
"print(f\"ADF Statistic for Y: {adf_y[0]}, p-value: {adf_y[1]}\")\n",
|
|
"\n",
|
|
"# Step 2: Test for co-integration (Engle-Granger method)\n",
|
|
"# Run OLS regression\n",
|
|
"model = sm.OLS(Y, sm.add_constant(X)).fit()\n",
|
|
"residuals = model.resid\n",
|
|
"\n",
|
|
"# ADF test on residuals\n",
|
|
"adf_resid = ts.adfuller(residuals)\n",
|
|
"\n",
|
|
"print(f\"ADF Statistic for residuals: {adf_resid[0]}, p-value: {adf_resid[1]}\")\n",
|
|
"\n",
|
|
"# Interpret results\n",
|
|
"if adf_resid[1] < 0.05:\n",
|
|
" print(\"The residuals are stationary, indicating co-integration.\")\n",
|
|
"else:\n",
|
|
" print(\"The residuals are non-stationary, indicating no co-integration.\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 56,
|
|
"id": "9dd80261-da37-40a4-a62d-325020e96296",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"ADF Statistic for XRP: -26.99201245942172, p-value: 0.0\n",
|
|
"ADF Statistic for ETH: -36.444076417359156, p-value: 0.0\n",
|
|
"ADF Statistic for LTC: -33.64907456780916, p-value: 0.0\n",
|
|
"ADF Statistic for BTC: -34.46653758454573, p-value: 0.0\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Step 1: Test for stationarity (ADF test)\n",
|
|
"adf_xrp = ts.adfuller(df_ts_rtn['dly_xrp_ln'])\n",
|
|
"print(f\"ADF Statistic for XRP: {adf_xrp[0]}, p-value: {adf_xrp[1]}\")\n",
|
|
"\n",
|
|
"adf_eth = ts.adfuller(df_ts_rtn['dly_eth_ln'])\n",
|
|
"print(f\"ADF Statistic for ETH: {adf_eth[0]}, p-value: {adf_eth[1]}\")\n",
|
|
"\n",
|
|
"adf_ltc = ts.adfuller(df_ts_rtn['dly_ltc_ln'])\n",
|
|
"print(f\"ADF Statistic for LTC: {adf_ltc[0]}, p-value: {adf_ltc[1]}\")\n",
|
|
"\n",
|
|
"adf_btc = ts.adfuller(df_ts_rtn['dly_btc_ln'])\n",
|
|
"print(f\"ADF Statistic for BTC: {adf_btc[0]}, p-value: {adf_btc[1]}\")\n",
|
|
"\n",
|
|
"# All Series are stationary\n",
|
|
"# ADF Statistic for XRP: -26.99201245942172, p-value: 0.0\n",
|
|
"# ADF Statistic for ETH: -36.444076417359156, p-value: 0.0\n",
|
|
"# ADF Statistic for LTC: -33.64907456780916, p-value: 0.0\n",
|
|
"# ADF Statistic for BTC: -34.46653758454573, p-value: 0.0"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 58,
|
|
"id": "5cd54d28-0289-41a6-8572-b5ab267108f3",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"(-34.46653758454573, 0.0, 36, 35611, {'1%': -3.4305336447006214, '5%': -2.86162116646338, '10%': -2.5668132023498393}, -7200.807380437385)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print(adf_btc) # 36 lags"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 60,
|
|
"id": "29a529c7-8ea9-4cd3-9139-66de4ea45008",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"-7200.807380437385\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print(adf_btc[5]) # IC Best -7200.807380437385"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "52456bd3-3862-496a-84c2-6f178c263781",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 64,
|
|
"id": "f879f203-f55b-4ef2-8bc1-62037b67cea6",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/usr/local/lib/python3.11/dist-packages/statsmodels/base/model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
|
|
" warnings.warn(\"Maximum Likelihood optimization failed to \"\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" SARIMAX Results \n",
|
|
"==============================================================================\n",
|
|
"Dep. Variable: dly_xrp_ln No. Observations: 35648\n",
|
|
"Model: ARIMA(16, 0, 16) Log Likelihood -13256.206\n",
|
|
"Date: Tue, 13 Aug 2024 AIC 26580.412\n",
|
|
"Time: 20:48:49 BIC 26868.781\n",
|
|
"Sample: 0 HQIC 26672.185\n",
|
|
" - 35648 \n",
|
|
"Covariance Type: opg \n",
|
|
"==============================================================================\n",
|
|
" coef std err z P>|z| [0.025 0.975]\n",
|
|
"------------------------------------------------------------------------------\n",
|
|
"const 0.0002 0.001 0.158 0.875 -0.002 0.003\n",
|
|
"ar.L1 -0.5294 0.025 -21.456 0.000 -0.578 -0.481\n",
|
|
"ar.L2 0.2148 0.034 6.236 0.000 0.147 0.282\n",
|
|
"ar.L3 0.2039 0.033 6.198 0.000 0.139 0.268\n",
|
|
"ar.L4 0.2425 0.033 7.323 0.000 0.178 0.307\n",
|
|
"ar.L5 0.3274 0.017 19.066 0.000 0.294 0.361\n",
|
|
"ar.L6 -0.1316 0.012 -10.733 0.000 -0.156 -0.108\n",
|
|
"ar.L7 -0.0543 0.012 -4.355 0.000 -0.079 -0.030\n",
|
|
"ar.L8 -0.0715 0.010 -6.892 0.000 -0.092 -0.051\n",
|
|
"ar.L9 -0.0580 0.010 -5.936 0.000 -0.077 -0.039\n",
|
|
"ar.L10 -0.1152 0.009 -12.399 0.000 -0.133 -0.097\n",
|
|
"ar.L11 0.5626 0.011 52.964 0.000 0.542 0.583\n",
|
|
"ar.L12 0.3547 0.016 21.598 0.000 0.323 0.387\n",
|
|
"ar.L13 -0.0748 0.023 -3.201 0.001 -0.121 -0.029\n",
|
|
"ar.L14 -0.0663 0.022 -3.004 0.003 -0.110 -0.023\n",
|
|
"ar.L15 -0.2544 0.023 -10.882 0.000 -0.300 -0.209\n",
|
|
"ar.L16 -0.3496 0.015 -22.740 0.000 -0.380 -0.320\n",
|
|
"ma.L1 0.3764 0.025 15.258 0.000 0.328 0.425\n",
|
|
"ma.L2 -0.3137 0.032 -9.884 0.000 -0.376 -0.252\n",
|
|
"ma.L3 -0.2413 0.030 -8.023 0.000 -0.300 -0.182\n",
|
|
"ma.L4 -0.2917 0.032 -9.180 0.000 -0.354 -0.229\n",
|
|
"ma.L5 -0.3013 0.016 -18.401 0.000 -0.333 -0.269\n",
|
|
"ma.L6 0.1836 0.014 13.110 0.000 0.156 0.211\n",
|
|
"ma.L7 0.0679 0.012 5.603 0.000 0.044 0.092\n",
|
|
"ma.L8 0.0993 0.010 9.758 0.000 0.079 0.119\n",
|
|
"ma.L9 0.0361 0.010 3.572 0.000 0.016 0.056\n",
|
|
"ma.L10 -0.0428 0.009 -4.789 0.000 -0.060 -0.025\n",
|
|
"ma.L11 -0.3016 0.008 -39.009 0.000 -0.317 -0.286\n",
|
|
"ma.L12 -0.2198 0.012 -18.740 0.000 -0.243 -0.197\n",
|
|
"ma.L13 0.0182 0.016 1.113 0.266 -0.014 0.050\n",
|
|
"ma.L14 0.1099 0.016 6.793 0.000 0.078 0.142\n",
|
|
"ma.L15 0.2271 0.016 14.470 0.000 0.196 0.258\n",
|
|
"ma.L16 0.1065 0.011 9.439 0.000 0.084 0.129\n",
|
|
"sigma2 0.1232 8.25e-05 1493.985 0.000 0.123 0.123\n",
|
|
"===================================================================================\n",
|
|
"Ljung-Box (L1) (Q): 0.04 Jarque-Bera (JB): 310123090.42\n",
|
|
"Prob(Q): 0.83 Prob(JB): 0.00\n",
|
|
"Heteroskedasticity (H): 2.39 Skew: -2.64\n",
|
|
"Prob(H) (two-sided): 0.00 Kurtosis: 459.91\n",
|
|
"===================================================================================\n",
|
|
"\n",
|
|
"Warnings:\n",
|
|
"[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from statsmodels.tsa.arima.model import ARIMA\n",
|
|
"\n",
|
|
"# Assuming `xrp_series` is your stationary time series data\n",
|
|
"p = 16\n",
|
|
"q = 16\n",
|
|
"model = ARIMA(df_ts_rtn['dly_xrp_ln'], order=(p, 0, q))\n",
|
|
"\n",
|
|
"# start = time()\n",
|
|
"fit_model = model.fit()\n",
|
|
"# end = time()\n",
|
|
"\n",
|
|
"# print (\"model Fitting Tim : \", end - start )\n",
|
|
"\n",
|
|
"# Summary of the fitted model\n",
|
|
"print(fit_model.summary())\n",
|
|
"\n",
|
|
"# Forecasting\n",
|
|
"# forecast = fit_model.forecast(steps=10) # Forecast the next 10 periods\n",
|
|
"# print(forecast)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "2f4217d8-ef1e-4af1-a2b0-2eed7880b68c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "562e7f8f-67bf-4b16-999c-d2d4fc74ce28",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "712d24b8-013b-4f7d-8957-875e712a26b0",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "6d555573-1d68-4e70-9218-c70bf7d2f967",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "bb3960f9-5984-4255-81fe-fb0cc58f88ca",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "7da5045d-1c09-4ded-a26d-c8f4f563899d",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "c27209d6-9532-4a40-9640-62ba1e983772",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# 08.05.2024 - previous LSTM Model"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"id": "569f480e-92d6-4748-a159-453424e43a5c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Detrend Series Function \n",
|
|
"# =========================\n",
|
|
"def detrend_series(series):\n",
|
|
" trend = np.polyfit(np.arange(len(series)), series.values, 1)\n",
|
|
" trend_line = np.polyval(trend, np.arange(len(series)))\n",
|
|
" detrended_series = series - trend_line\n",
|
|
" return detrended_series\n",
|
|
"\n",
|
|
"crypto_list = ['XRP', 'ETH', 'LTC', 'BTC']"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "57699dea-1e1f-4926-ae62-bac2a71efe5b",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"id": "71a76b9f-017a-4bcf-93ca-9101370cb430",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"sample_size\n",
|
|
"21554\n",
|
|
"===========================================================\n",
|
|
"Selected Indices: chosen_idx1\n",
|
|
"Index([ 221, 237, 247, 262, 445, 462, 522, 1203, 1273, 1462,\n",
|
|
" 1588, 1963, 1985, 2179, 3145, 3613, 3702, 3777, 3979, 4505,\n",
|
|
" 4759, 4931, 5131, 5500, 5770, 5798, 5857, 5971, 6014, 6143,\n",
|
|
" 6145, 6273, 6399, 6700, 7271, 7349, 7708, 7723, 7948, 8043,\n",
|
|
" 8050, 8160, 8166, 8432, 8454, 8598, 8677, 8726, 8749, 8798,\n",
|
|
" 8985, 9314, 9535, 10108, 10553, 10896, 10998, 11165, 11546, 11586,\n",
|
|
" 11711, 11758, 11806, 11967, 12282, 12655, 12679, 12683, 12713, 12754,\n",
|
|
" 13031, 13662, 13745, 13815, 13890, 14012, 14115, 14130, 14258, 14274,\n",
|
|
" 14496, 14556, 14881, 14947, 14990, 15249, 15303, 15305, 15407, 15476,\n",
|
|
" 15559, 15721, 15759, 16024, 16489, 16527, 16677, 16808, 16888, 17013],\n",
|
|
" dtype='int64')\n",
|
|
"<class 'pandas.core.indexes.base.Index'>\n",
|
|
" ============ Second Cycle ========================= \n",
|
|
"cnt_thrown_idx1: 0\n",
|
|
"cnt_thrown_idx2: 0\n",
|
|
"cnt_thrown_idx: 0\n",
|
|
"batch: 100\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/tmp/ipykernel_638/3067181419.py:17: SettingWithCopyWarning: \n",
|
|
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
|
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
|
"\n",
|
|
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
|
" sample_test.loc[:, 'Selected'] = 0\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Model Input\n",
|
|
"# =============================================\n",
|
|
"sl = 132 # <--- sequence length\n",
|
|
"batch = 100 # <--- batch size\n",
|
|
"n_features = 4 # <---- no. of variables\n",
|
|
"n_out = 4 # <----- no. of predicted variables\n",
|
|
"frwd = 10 # <----- how many to predict\n",
|
|
"# =============================================\n",
|
|
"\n",
|
|
"print ('sample_size')\n",
|
|
"print (sample_size)\n",
|
|
"print ('===========================================================')\n",
|
|
"\n",
|
|
"# Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"# sample_test['Selected'] = 0\n",
|
|
"sample_test.loc[:, 'Selected'] = 0\n",
|
|
"\n",
|
|
"# Selecting m random rows without replacement\n",
|
|
"np.random.seed(125)\n",
|
|
"selected_indices = np.random.choice(sample_test.index, size = batch, replace = False)\n",
|
|
"\n",
|
|
"sample_test.loc[selected_indices, 'Selected'] = 1 \n",
|
|
"\n",
|
|
"# print ('Selected Indices')\n",
|
|
"# print (selected_indices)\n",
|
|
"\n",
|
|
"chosen_idx1 = sample_test[sample_test['Selected'] == 1].index\n",
|
|
"print ('Selected Indices: chosen_idx1')\n",
|
|
"print (chosen_idx1)\n",
|
|
"print (type(chosen_idx1))\n",
|
|
"\n",
|
|
"# =============================================\n",
|
|
"# thrown_idx1 = chosen_idx1[chosen_idx1 <= sl]\n",
|
|
"# cnt_thrown_idx1 = len(thrown_idx1)\n",
|
|
"\n",
|
|
"# chosen_idx3 = chosen_idx2[chosen_idx2 < (sample_size - frwd)]\n",
|
|
"\n",
|
|
"# thrown_idx2 = chosen_idx2[chosen_idx2 >= (sample_size - frwd)]\n",
|
|
"# cnt_thrown_idx2 = len(thrown_idx2)\n",
|
|
"# =============================================\n",
|
|
"\n",
|
|
"cnt_thrown_idx1 = 0\n",
|
|
"cnt_thrown_idx2 = 0\n",
|
|
"\n",
|
|
"for idx in chosen_idx1:\n",
|
|
" # print (sample_test.iloc[idx-(sl-1): idx+(frwd+1)])\n",
|
|
" # print (idx-(sl-1), idx+(frwd+1))\n",
|
|
" \n",
|
|
" if (idx-(sl-1) < 0):\n",
|
|
" print ('scratch index on a left: ', idx)\n",
|
|
" cnt_thrown_idx1 = cnt_thrown_idx1 + 1\n",
|
|
" print ('cnt_thrown_idx1: ', cnt_thrown_idx1)\n",
|
|
" chosen_idx1 = chosen_idx1.drop(idx)\n",
|
|
" print (chosen_idx1)\n",
|
|
" \n",
|
|
"print (' ============ Second Cycle ========================= ')\n",
|
|
"\n",
|
|
"for idx in chosen_idx1:\n",
|
|
" if (idx+(frwd+1) > sample_size):\n",
|
|
" print ('scratch index on a right: ', idx)\n",
|
|
" cnt_thrown_idx2 = cnt_thrown_idx2 + 1\n",
|
|
" print ('cnt_thrown_idx2: ', cnt_thrown_idx2)\n",
|
|
" chosen_idx1 = chosen_idx1.drop(idx)\n",
|
|
" print (chosen_idx1)\n",
|
|
"\n",
|
|
"\n",
|
|
"print ('cnt_thrown_idx1: ', cnt_thrown_idx1)\n",
|
|
"print ('cnt_thrown_idx2: ', cnt_thrown_idx2)\n",
|
|
"\n",
|
|
"cnt_thrown_idx = cnt_thrown_idx1 + cnt_thrown_idx2\n",
|
|
"print ('cnt_thrown_idx: ', cnt_thrown_idx)\n",
|
|
"\n",
|
|
"print ('batch: ', batch)\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "95902e28-d45c-47b6-bf08-57cdeadc486f",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"id": "5c3e17e3-01e7-45cd-ae92-bb6702f3e53f",
|
|
"metadata": {
|
|
"scrolled": true
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"sample_size\n",
|
|
"21554\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Model Input\n",
|
|
"# =============================================\n",
|
|
"sl = 132 # <--- sequence length\n",
|
|
"batch = 100 # <--- batch size\n",
|
|
"n_features = 4 # <---- no. of variables\n",
|
|
"n_out = 4 # <----- no. of predicted variables\n",
|
|
"frwd = 10 # <----- how many to predict\n",
|
|
"# =============================================\n",
|
|
"\n",
|
|
"print ('sample_size')\n",
|
|
"print (sample_size)\n",
|
|
"# print ('===========================================================')\n",
|
|
"\n",
|
|
"# Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"# sample_test['Selected'] = 0\n",
|
|
"sample_test.loc[:, 'Selected'] = 0\n",
|
|
"\n",
|
|
"# Selecting m random rows without replacement\n",
|
|
"np.random.seed(125)\n",
|
|
"selected_indices = np.random.choice(sample_test.index, size = batch, replace = False)\n",
|
|
"\n",
|
|
"sample_test.loc[selected_indices, 'Selected'] = 1 \n",
|
|
"\n",
|
|
"chosen_idx = sample_test[sample_test['Selected'] == 1].index\n",
|
|
"\n",
|
|
"cnt_thrown_idx1 = 0\n",
|
|
"cnt_thrown_idx2 = 0\n",
|
|
"\n",
|
|
"for idx in chosen_idx: \n",
|
|
" if (idx-(sl-1) < 0):\n",
|
|
" # print ('scratch index on a left: ', idx)\n",
|
|
" cnt_thrown_idx1 = cnt_thrown_idx1 + 1\n",
|
|
" # print ('cnt_thrown_idx1: ', cnt_thrown_idx1)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"for idx in chosen_idx:\n",
|
|
" if (idx+(frwd+1) > sample_size):\n",
|
|
" # print ('scratch index on a right: ', idx)\n",
|
|
" cnt_thrown_idx2 = cnt_thrown_idx2 + 1\n",
|
|
" # print ('cnt_thrown_idx2: ', cnt_thrown_idx2)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"cnt_thrown_idx = cnt_thrown_idx1 + cnt_thrown_idx2\n",
|
|
"\n",
|
|
"all_ts_close_xrp = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_eth = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_ltc = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"all_ts_volume_xrp = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_eth = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_ltc = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"aft_ts_close_xrp = np.empty((1))\n",
|
|
"aft_ts_close_eth = np.empty((1))\n",
|
|
"aft_ts_close_ltc = np.empty((1))\n",
|
|
"aft_ts_close_btc = np.empty((1))\n",
|
|
"\n",
|
|
"for idx in chosen_idx:\n",
|
|
" selected_rows_before = sample_test.iloc[max(0, idx-sl): idx]\n",
|
|
" selected_rows_after = sample_test.iloc[max(0, idx): idx+frwd]\n",
|
|
" # print ('idx: ', idx)\n",
|
|
"\n",
|
|
" # xrp\n",
|
|
" sr_before_close_xrp = np.array(selected_rows_before['close_xrp'])\n",
|
|
" sr_after_close_xrp = np.array(selected_rows_after['close_xrp']) \n",
|
|
" # print (sr_before_close_xrp)\n",
|
|
" sr_before_volume_xrp = np.array(selected_rows_before['volume_xrp'])\n",
|
|
" sr_after_volume_xrp = np.array(selected_rows_after['volume_xrp']) \n",
|
|
" # print (sr_before_volume_xrp) \n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_xrp = np.average(sr_after_close_xrp, weights = sr_after_volume_xrp)\n",
|
|
" # print ('XRP w.average: ', weighted_avg_xrp)\n",
|
|
"\n",
|
|
"# eth\n",
|
|
" sr_before_close_eth = np.array(selected_rows_before['close_eth'])\n",
|
|
" sr_after_close_eth = np.array(selected_rows_after['close_eth'])\n",
|
|
" sr_before_volume_eth = np.array(selected_rows_before['volume_eth'])\n",
|
|
" sr_after_volume_eth = np.array(selected_rows_after['volume_eth'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_eth = np.average(sr_after_close_eth, weights = sr_after_volume_eth)\n",
|
|
" # print ('ETH w.average: ', weighted_avg_eth)\n",
|
|
" \n",
|
|
"# ltc\n",
|
|
" sr_before_close_ltc = np.array(selected_rows_before['close_ltc'])\n",
|
|
" sr_after_close_ltc = np.array(selected_rows_after['close_ltc'])\n",
|
|
" sr_before_volume_ltc = np.array(selected_rows_before['volume_ltc'])\n",
|
|
" sr_after_volume_ltc = np.array(selected_rows_after['volume_ltc'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_ltc = np.average(sr_after_close_ltc, weights = sr_after_volume_ltc)\n",
|
|
" # print ('LTC w.average: ', weighted_avg_ltc)\n",
|
|
"\n",
|
|
"# btc\n",
|
|
" sr_before_close_btc = np.array(selected_rows_before['close_btc'])\n",
|
|
" sr_after_close_btc = np.array(selected_rows_after['close_btc'])\n",
|
|
" sr_before_volume_btc = np.array(selected_rows_before['volume_btc'])\n",
|
|
" sr_after_volume_btc = np.array(selected_rows_after['volume_btc'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_btc = np.average(sr_after_close_btc, weights = sr_after_volume_btc)\n",
|
|
" # print ('BTC w.average: ', weighted_avg_btc)\n",
|
|
"\n",
|
|
"# xrp\n",
|
|
" all_ts_close_xrp = np.concatenate((all_ts_close_xrp, sr_before_close_xrp))\n",
|
|
" all_ts_volume_xrp = np.concatenate((all_ts_volume_xrp, sr_before_volume_xrp))\n",
|
|
"# eth\n",
|
|
" all_ts_close_eth = np.concatenate((all_ts_close_eth, sr_before_close_eth))\n",
|
|
" all_ts_volume_eth = np.concatenate((all_ts_volume_eth, sr_before_volume_eth))\n",
|
|
"# ltc\n",
|
|
" all_ts_close_ltc = np.concatenate((all_ts_close_ltc, sr_before_close_ltc))\n",
|
|
" all_ts_volume_ltc = np.concatenate((all_ts_volume_ltc, sr_before_volume_ltc))\n",
|
|
"# btc\n",
|
|
" all_ts_close_btc = np.concatenate((all_ts_close_btc, sr_before_close_btc))\n",
|
|
" all_ts_volume_btc = np.concatenate((all_ts_volume_btc, sr_before_volume_btc))\n",
|
|
"\n",
|
|
" aft_ts_close_xrp = np.concatenate((aft_ts_close_xrp, sr_after_close_xrp))\n",
|
|
" aft_ts_close_eth = np.concatenate((aft_ts_close_eth, sr_after_close_eth))\n",
|
|
" aft_ts_close_ltc = np.concatenate((aft_ts_close_ltc, sr_after_close_ltc))\n",
|
|
" aft_ts_close_btc = np.concatenate((aft_ts_close_btc, sr_after_close_btc))\n",
|
|
"\n",
|
|
"X_XRP_close = all_ts_close_xrp[1:]\n",
|
|
"X_XRP_volume = all_ts_volume_xrp[1:]\n",
|
|
"\n",
|
|
"X_ETH_close = all_ts_close_eth[1:]\n",
|
|
"X_ETH_volume = all_ts_volume_eth[1:]\n",
|
|
"\n",
|
|
"X_LTC_close = all_ts_close_ltc[1:]\n",
|
|
"X_LTC_volume = all_ts_volume_ltc[1:]\n",
|
|
"\n",
|
|
"X_BTC_close = all_ts_close_btc[1:]\n",
|
|
"X_BTC_volume = all_ts_volume_btc[1:]\n",
|
|
"\n",
|
|
"# X0 = np.column_stack((X_XRP_close, X_XRP_volume, \n",
|
|
"# X_ETH_close, X_ETH_volume, \n",
|
|
"# X_LTC_close, X_LTC_volume, \n",
|
|
"# X_BTC_close, X_BTC_volume))\n",
|
|
"\n",
|
|
"X0 = np.column_stack((X_XRP_close,\n",
|
|
" X_ETH_close,\n",
|
|
" X_LTC_close,\n",
|
|
" X_BTC_close))\n",
|
|
"# print (X0)\n",
|
|
"\n",
|
|
"# ================ Model Input ===========================\n",
|
|
"X = X0.reshape(batch-cnt_thrown_idx, sl, n_features)\n",
|
|
"# print ('================ original series =================') \n",
|
|
"# print ('XXXX ====== Actual Input ====== XXXX')\n",
|
|
"# print (X)\n",
|
|
"# print (X.shape)\n",
|
|
"\n",
|
|
"# print ('================== trend lines ===================') \n",
|
|
"\n",
|
|
"y_XRP = aft_ts_close_xrp[1:]\n",
|
|
"y_ETH = aft_ts_close_eth[1:]\n",
|
|
"y_LTC = aft_ts_close_ltc[1:]\n",
|
|
"y_BTC = aft_ts_close_btc[1:]\n",
|
|
"# print ('y_BTC: ', y_BTC)\n",
|
|
"\n",
|
|
"y = np.column_stack((y_XRP, y_ETH, y_LTC, y_BTC))\n",
|
|
"# print (y)\n",
|
|
"\n",
|
|
"y = y.reshape(batch-cnt_thrown_idx, frwd, n_out)\n",
|
|
"# print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"# print (y)\n",
|
|
"# print (y.shape)\n",
|
|
"\n",
|
|
"X_trend = np.zeros((batch-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print ('X_trend')\n",
|
|
"# print (X_trend)\n",
|
|
"\n",
|
|
"X_detrend = np.zeros((batch-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print ('X_detrend')\n",
|
|
"# print (X_detrend)\n",
|
|
"\n",
|
|
"y_trend = np.zeros((batch-cnt_thrown_idx, frwd, n_out))\n",
|
|
"# print ('y_trend')\n",
|
|
"# print (y_trend)\n",
|
|
"\n",
|
|
"for j in range(batch-cnt_thrown_idx):\n",
|
|
" df_trend = pd.DataFrame(X[j], columns = crypto_list)\n",
|
|
" # print (df_trend)\n",
|
|
" \n",
|
|
"# XRP\n",
|
|
" coef_xrp = np.polyfit(np.arange(len(df_trend)), df_trend['XRP'], 1)\n",
|
|
" # print (\"coef_xrp: \", coef_xrp) \n",
|
|
" trend_line_xrp = np.polyval(coef_xrp, np.arange(len(df_trend)))\n",
|
|
" detrended_series_xrp = df_trend['XRP'] - trend_line_xrp\n",
|
|
" detrend_xrp = detrended_series_xrp.to_numpy() \n",
|
|
"\n",
|
|
" y_xrp_trend = np.empty(frwd)\n",
|
|
" # print ('y_xrp_trend: ', y_xrp_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_xrp_trend[f] = coef_xrp[0]*(len(df_trend)+f) + coef_xrp[1] \n",
|
|
" # print (y_xrp_trend[f])\n",
|
|
"\n",
|
|
" # ETH\n",
|
|
" coef_eth = np.polyfit(np.arange(len(df_trend)), df_trend['ETH'], 1)\n",
|
|
" # print (\"coef_eth: \", coef_eth)\n",
|
|
" trend_line_eth = np.polyval(coef_eth, np.arange(len(df_trend)))\n",
|
|
" detrended_series_eth = df_trend['ETH'] - trend_line_eth\n",
|
|
" detrend_eth = detrended_series_eth.to_numpy()\n",
|
|
"\n",
|
|
" y_eth_trend = np.empty(frwd)\n",
|
|
" # print ('y_eth_trend: ', y_eth_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_eth_trend[f] = coef_eth[0]*(len(df_trend)+f) + coef_eth[1] \n",
|
|
" # print (y_eth_trend[f])\n",
|
|
" \n",
|
|
"# LTC \n",
|
|
" coef_ltc = np.polyfit(np.arange(len(df_trend)), df_trend['LTC'], 1)\n",
|
|
" # print (\"coef_ltc: \", coef_ltc)\n",
|
|
" trend_line_ltc = np.polyval(coef_ltc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_ltc = df_trend['LTC'] - trend_line_ltc\n",
|
|
" detrend_ltc = detrended_series_ltc.to_numpy()\n",
|
|
"\n",
|
|
" y_ltc_trend = np.empty(frwd)\n",
|
|
" # print ('y_ltc_trend: ', y_ltc_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_ltc_trend[f] = coef_ltc[0]*(len(df_trend) + f) + coef_ltc[1] \n",
|
|
" # print (y_ltc_trend[f])\n",
|
|
"\n",
|
|
"# BTC \n",
|
|
" coef_btc = np.polyfit(np.arange(len(df_trend)), df_trend['BTC'], 1)\n",
|
|
" # print (\"coef_btc: \", coef_btc)\n",
|
|
" trend_line_btc = np.polyval(coef_btc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_btc = df_trend['BTC'] - trend_line_btc\n",
|
|
" detrend_btc = detrended_series_btc.to_numpy()\n",
|
|
"\n",
|
|
" y_btc_trend = np.empty(frwd)\n",
|
|
" # print ('y_btc_trend: ', y_btc_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_btc_trend[f] = coef_btc[0]*(len(df_trend) + f) + coef_btc[1] \n",
|
|
" # print (y_btc_trend[f])\n",
|
|
"\n",
|
|
" # print ('y_btc_trend: ', y_btc_trend)\n",
|
|
" # print ('type of y_btc_trend: ', type (y_btc_trend))\n",
|
|
" \n",
|
|
" # Create a dictionary with the data\n",
|
|
" trend_dict = {'XRP' : trend_line_xrp, \n",
|
|
" 'ETH' : trend_line_eth, \n",
|
|
" 'LTC' : trend_line_ltc, \n",
|
|
" 'BTC' : trend_line_btc\n",
|
|
" }\n",
|
|
" df = pd.DataFrame(trend_dict)\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in trend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
" \n",
|
|
" X0_trend = df.to_numpy()\n",
|
|
" \n",
|
|
" X_trend[j] += X0_trend \n",
|
|
"\n",
|
|
" detrend_dict = {'XRP' : detrend_xrp, \n",
|
|
" 'ETH' : detrend_eth, \n",
|
|
" 'LTC' : detrend_ltc, \n",
|
|
" 'BTC' : detrend_btc\n",
|
|
" }\n",
|
|
" \n",
|
|
" df = pd.DataFrame(detrend_dict)\n",
|
|
"\n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in detrend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
"\n",
|
|
" X0_detrend = df.to_numpy()\n",
|
|
"\n",
|
|
" X_detrend[j] += X0_detrend \n",
|
|
" \n",
|
|
" # Create a dictionary with the data\n",
|
|
" # y_trend_dict = {'XRP' : np.array([y_xrp_trend]), \n",
|
|
" # 'ETH' : np.array([y_eth_trend]), \n",
|
|
" # 'LTC' : np.array([y_ltc_trend]), \n",
|
|
" # 'BTC' : np.array([y_btc_trend])\n",
|
|
" # }\n",
|
|
"\n",
|
|
" # Create a dictionary with the data\n",
|
|
" y_trend_dict = {'XRP' : y_xrp_trend, \n",
|
|
" 'ETH' : y_eth_trend, \n",
|
|
" 'LTC' : y_ltc_trend, \n",
|
|
" 'BTC' : y_btc_trend\n",
|
|
" }\n",
|
|
" # print (y_trend_dict)\n",
|
|
"\n",
|
|
" df1 = pd.DataFrame(y_trend_dict)\n",
|
|
"\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for key, value in y_trend_dict.items():\n",
|
|
" # print(f\"{key}: {value}\")\n",
|
|
" df1[key] = value\n",
|
|
"\n",
|
|
" y_tr = df1.to_numpy()\n",
|
|
" y_trend[j] += y_tr\n",
|
|
" \n",
|
|
"y_detrend = y - y_trend\n",
|
|
"\n",
|
|
"# print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"# print (y)\n",
|
|
"# print (y.shape)\n",
|
|
"\n",
|
|
"# print ('YYYY ====== Trend Input ======= YYYY')\n",
|
|
"# print (y_trend)\n",
|
|
"# print (type(y_trend))\n",
|
|
"# print (y_trend.shape)\n",
|
|
"\n",
|
|
"# print ('YYYY ====== De-Trend Input ======= YYYY')\n",
|
|
"# print (y_detrend)\n",
|
|
"# print (type(y_detrend))\n",
|
|
"# print (y_detrend.shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"id": "6bcc7fa4-5164-4f58-b550-f9d9b139a539",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"coef: [-8.02267640e-05 5.95403338e-01]\n",
|
|
"[0.59540334 0.59532311 0.59524288 0.59516266 0.59508243 0.5950022\n",
|
|
" 0.59492198 0.59484175 0.59476152 0.5946813 0.59460107 0.59452084\n",
|
|
" 0.59444062 0.59436039 0.59428016 0.59419994 0.59411971 0.59403948\n",
|
|
" 0.59395926 0.59387903 0.5937988 0.59371858 0.59363835 0.59355812\n",
|
|
" 0.5934779 0.59339767 0.59331744 0.59323722 0.59315699 0.59307676\n",
|
|
" 0.59299653 0.59291631 0.59283608 0.59275585 0.59267563 0.5925954\n",
|
|
" 0.59251517 0.59243495 0.59235472 0.59227449 0.59219427 0.59211404\n",
|
|
" 0.59203381 0.59195359 0.59187336 0.59179313 0.59171291 0.59163268\n",
|
|
" 0.59155245 0.59147223 0.591392 0.59131177 0.59123155 0.59115132\n",
|
|
" 0.59107109 0.59099087 0.59091064 0.59083041 0.59075019 0.59066996\n",
|
|
" 0.59058973 0.59050951 0.59042928 0.59034905 0.59026882 0.5901886\n",
|
|
" 0.59010837 0.59002814 0.58994792 0.58986769 0.58978746 0.58970724\n",
|
|
" 0.58962701 0.58954678 0.58946656 0.58938633 0.5893061 0.58922588\n",
|
|
" 0.58914565 0.58906542 0.5889852 0.58890497 0.58882474 0.58874452\n",
|
|
" 0.58866429 0.58858406 0.58850384 0.58842361 0.58834338 0.58826316\n",
|
|
" 0.58818293 0.5881027 0.58802248 0.58794225 0.58786202 0.5877818\n",
|
|
" 0.58770157 0.58762134 0.58754112 0.58746089 0.58738066 0.58730043\n",
|
|
" 0.58722021 0.58713998 0.58705975 0.58697953 0.5868993 0.58681907\n",
|
|
" 0.58673885 0.58665862 0.58657839 0.58649817 0.58641794 0.58633771\n",
|
|
" 0.58625749 0.58617726 0.58609703 0.58601681 0.58593658 0.58585635\n",
|
|
" 0.58577613 0.5856959 0.58561567 0.58553545 0.58545522 0.58537499\n",
|
|
" 0.58529477 0.58521454 0.58513431 0.58505409 0.58497386 0.58489363]\n",
|
|
"0 -0.002503\n",
|
|
"1 -0.002123\n",
|
|
"2 -0.001743\n",
|
|
"3 -0.001863\n",
|
|
"4 -0.001582\n",
|
|
" ... \n",
|
|
"127 -0.002515\n",
|
|
"128 -0.002134\n",
|
|
"129 -0.002654\n",
|
|
"130 -0.002474\n",
|
|
"131 -0.002694\n",
|
|
"Name: XRP, Length: 132, dtype: float64\n",
|
|
"[-2.50333789e-03 -2.12311113e-03 -1.74288436e-03 -1.86265760e-03\n",
|
|
" -1.58243083e-03 -5.40220407e-03 -1.32197731e-03 -9.41750542e-04\n",
|
|
" -9.61523778e-04 -8.12970142e-05 5.98929750e-04 -3.20843486e-04\n",
|
|
" 9.59383278e-04 1.33961004e-03 1.91983681e-03 2.40006357e-03\n",
|
|
" -4.11970967e-03 2.46051710e-03 2.84074386e-03 3.02097063e-03\n",
|
|
" 3.10119739e-03 3.38142415e-03 2.36165092e-03 2.04187768e-03\n",
|
|
" 2.42210445e-03 3.00233121e-03 2.88255797e-03 -2.83721526e-03\n",
|
|
" -2.55698850e-03 -1.97676173e-03 -2.49653497e-03 -9.16308206e-04\n",
|
|
" -1.03608144e-03 -4.55854678e-04 -8.75627914e-04 -6.95401150e-04\n",
|
|
" -1.51743863e-05 -2.03494762e-03 -2.05472086e-03 -2.87449409e-03\n",
|
|
" -3.59426733e-03 -2.91404057e-03 -2.73381380e-03 4.64129616e-05\n",
|
|
" -1.97336027e-03 -1.79313351e-03 -1.01290675e-03 -1.33267998e-03\n",
|
|
" -9.52453218e-04 -1.17222645e-03 -2.91999690e-04 -1.11772926e-04\n",
|
|
" -1.13154616e-03 -4.51319398e-04 8.28907366e-04 -3.90865870e-04\n",
|
|
" -9.10639106e-04 -3.04123424e-05 -6.50185578e-04 -6.99588145e-05\n",
|
|
" 1.10267950e-04 4.90494714e-04 2.70721478e-04 1.50948242e-04\n",
|
|
" 3.31175006e-04 1.41140177e-03 4.91628534e-04 5.71855298e-04\n",
|
|
" 9.52082062e-04 1.43230883e-03 1.71253559e-03 1.09276235e-03\n",
|
|
" 5.72989117e-04 8.53215881e-04 2.33442645e-04 7.13669409e-04\n",
|
|
" 2.19389617e-03 7.74122937e-04 1.25434970e-03 1.23457647e-03\n",
|
|
" 1.51480323e-03 1.59502999e-03 1.17525676e-03 1.95548352e-03\n",
|
|
" 2.13571029e-03 1.81593705e-03 1.79616381e-03 2.77639058e-03\n",
|
|
" 3.65661734e-03 4.53684411e-03 4.51707087e-03 2.19729763e-03\n",
|
|
" 2.37752440e-03 2.15775116e-03 2.43797793e-03 2.71820469e-03\n",
|
|
" 2.49843145e-03 2.47865822e-03 2.35888498e-03 2.53911175e-03\n",
|
|
" 2.21933851e-03 2.39956527e-03 2.77979204e-03 3.46001880e-03\n",
|
|
" 2.94024557e-03 2.92047233e-03 2.20069909e-03 -1.11907414e-03\n",
|
|
" -5.38847379e-04 -3.05862061e-03 -3.67839385e-03 -3.79816709e-03\n",
|
|
" -5.11794032e-03 -5.23771356e-03 4.44251321e-03 -3.47726003e-03\n",
|
|
" -2.89703327e-03 -3.41680650e-03 -3.13657974e-03 -2.65635297e-03\n",
|
|
" -2.47612621e-03 -1.99589945e-03 -2.91567268e-03 -1.93544592e-03\n",
|
|
" -2.95521915e-03 5.92500761e-03 -2.79476563e-03 -2.51453886e-03\n",
|
|
" -2.13431210e-03 -2.65408533e-03 -2.47385857e-03 -2.69363181e-03]\n",
|
|
"coef: [-1.80039603e-05 3.51501123e-01]\n",
|
|
"coef: [-4.60102373e-06 7.33748337e-01]\n",
|
|
"coef: [-3.74861468e-05 6.72389676e-01]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"df_trend = pd.DataFrame(X[0], columns = crypto_list)\n",
|
|
"\n",
|
|
"# XRP\n",
|
|
"trend_xrp = np.polyfit(np.arange(len(df_trend)), df_trend['XRP'], 1)\n",
|
|
"print (\"coef: \", trend_xrp)\n",
|
|
"trend_line_xrp = np.polyval(trend_xrp, np.arange(len(df_trend)))\n",
|
|
"print (trend_line_xrp)\n",
|
|
"detrended_series_xrp = df_trend['XRP'] - trend_line_xrp\n",
|
|
"print (detrended_series_xrp)\n",
|
|
"detrend_xrp = detrended_series_xrp.to_numpy()\n",
|
|
"print (detrend_xrp)\n",
|
|
"\n",
|
|
"# ETH\n",
|
|
"trend_eth = np.polyfit(np.arange(len(df_trend)), df_trend['ETH'], 1)\n",
|
|
"print (\"coef: \", trend_eth)\n",
|
|
"trend_line_eth = np.polyval(trend_eth, np.arange(len(df_trend)))\n",
|
|
"detrended_series_eth = df_trend['ETH'] - trend_line_eth\n",
|
|
"detrend_eth = detrended_series_eth.to_numpy()\n",
|
|
"\n",
|
|
"\n",
|
|
"trend_ltc = np.polyfit(np.arange(len(df_trend)), df_trend['LTC'], 1)\n",
|
|
"print (\"coef: \", trend_ltc)\n",
|
|
"trend_line_ltc = np.polyval(trend_ltc, np.arange(len(df_trend)))\n",
|
|
"detrended_series_ltc = df_trend['LTC'] - trend_line_ltc\n",
|
|
"detrend_ltc = detrended_series_ltc.to_numpy()\n",
|
|
"\n",
|
|
"\n",
|
|
"trend_btc = np.polyfit(np.arange(len(df_trend)), df_trend['BTC'], 1)\n",
|
|
"print (\"coef: \", trend_btc)\n",
|
|
"trend_line_btc = np.polyval(trend_btc, np.arange(len(df_trend)))\n",
|
|
"detrend_btc = detrended_series_btc.to_numpy()\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"id": "ed42d6c4-a96e-4634-8755-111b26aa81b7",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[[0.59540334 0.35150112 0.73374834 0.67238968]\n",
|
|
" [0.59532311 0.35148312 0.73374374 0.67235219]\n",
|
|
" [0.59524288 0.35146512 0.73373913 0.6723147 ]\n",
|
|
" [0.59516266 0.35144711 0.73373453 0.67227722]\n",
|
|
" [0.59508243 0.35142911 0.73372993 0.67223973]\n",
|
|
" [0.5950022 0.3514111 0.73372533 0.67220225]\n",
|
|
" [0.59492198 0.3513931 0.73372073 0.67216476]\n",
|
|
" [0.59484175 0.3513751 0.73371613 0.67212727]\n",
|
|
" [0.59476152 0.35135709 0.73371153 0.67208979]\n",
|
|
" [0.5946813 0.35133909 0.73370693 0.6720523 ]\n",
|
|
" [0.59460107 0.35132108 0.73370233 0.67201481]\n",
|
|
" [0.59452084 0.35130308 0.73369773 0.67197733]\n",
|
|
" [0.59444062 0.35128508 0.73369312 0.67193984]\n",
|
|
" [0.59436039 0.35126707 0.73368852 0.67190236]\n",
|
|
" [0.59428016 0.35124907 0.73368392 0.67186487]\n",
|
|
" [0.59419994 0.35123106 0.73367932 0.67182738]\n",
|
|
" [0.59411971 0.35121306 0.73367472 0.6717899 ]\n",
|
|
" [0.59403948 0.35119506 0.73367012 0.67175241]\n",
|
|
" [0.59395926 0.35117705 0.73366552 0.67171493]\n",
|
|
" [0.59387903 0.35115905 0.73366092 0.67167744]\n",
|
|
" [0.5937988 0.35114104 0.73365632 0.67163995]\n",
|
|
" [0.59371858 0.35112304 0.73365172 0.67160247]\n",
|
|
" [0.59363835 0.35110504 0.73364711 0.67156498]\n",
|
|
" [0.59355812 0.35108703 0.73364251 0.67152749]\n",
|
|
" [0.5934779 0.35106903 0.73363791 0.67149001]\n",
|
|
" [0.59339767 0.35105102 0.73363331 0.67145252]\n",
|
|
" [0.59331744 0.35103302 0.73362871 0.67141504]\n",
|
|
" [0.59323722 0.35101502 0.73362411 0.67137755]\n",
|
|
" [0.59315699 0.35099701 0.73361951 0.67134006]\n",
|
|
" [0.59307676 0.35097901 0.73361491 0.67130258]\n",
|
|
" [0.59299653 0.350961 0.73361031 0.67126509]\n",
|
|
" [0.59291631 0.350943 0.73360571 0.67122761]\n",
|
|
" [0.59283608 0.350925 0.7336011 0.67119012]\n",
|
|
" [0.59275585 0.35090699 0.7335965 0.67115263]\n",
|
|
" [0.59267563 0.35088899 0.7335919 0.67111515]\n",
|
|
" [0.5925954 0.35087098 0.7335873 0.67107766]\n",
|
|
" [0.59251517 0.35085298 0.7335827 0.67104017]\n",
|
|
" [0.59243495 0.35083498 0.7335781 0.67100269]\n",
|
|
" [0.59235472 0.35081697 0.7335735 0.6709652 ]\n",
|
|
" [0.59227449 0.35079897 0.7335689 0.67092772]\n",
|
|
" [0.59219427 0.35078096 0.7335643 0.67089023]\n",
|
|
" [0.59211404 0.35076296 0.73355969 0.67085274]\n",
|
|
" [0.59203381 0.35074496 0.73355509 0.67081526]\n",
|
|
" [0.59195359 0.35072695 0.73355049 0.67077777]\n",
|
|
" [0.59187336 0.35070895 0.73354589 0.67074029]\n",
|
|
" [0.59179313 0.35069094 0.73354129 0.6707028 ]\n",
|
|
" [0.59171291 0.35067294 0.73353669 0.67066531]\n",
|
|
" [0.59163268 0.35065494 0.73353209 0.67062783]\n",
|
|
" [0.59155245 0.35063693 0.73352749 0.67059034]\n",
|
|
" [0.59147223 0.35061893 0.73352289 0.67055285]\n",
|
|
" [0.591392 0.35060093 0.73351829 0.67051537]\n",
|
|
" [0.59131177 0.35058292 0.73351368 0.67047788]\n",
|
|
" [0.59123155 0.35056492 0.73350908 0.6704404 ]\n",
|
|
" [0.59115132 0.35054691 0.73350448 0.67040291]\n",
|
|
" [0.59107109 0.35052891 0.73349988 0.67036542]\n",
|
|
" [0.59099087 0.35051091 0.73349528 0.67032794]\n",
|
|
" [0.59091064 0.3504929 0.73349068 0.67029045]\n",
|
|
" [0.59083041 0.3504749 0.73348608 0.67025297]\n",
|
|
" [0.59075019 0.35045689 0.73348148 0.67021548]\n",
|
|
" [0.59066996 0.35043889 0.73347688 0.67017799]\n",
|
|
" [0.59058973 0.35042089 0.73347228 0.67014051]\n",
|
|
" [0.59050951 0.35040288 0.73346767 0.67010302]\n",
|
|
" [0.59042928 0.35038488 0.73346307 0.67006553]\n",
|
|
" [0.59034905 0.35036687 0.73345847 0.67002805]\n",
|
|
" [0.59026882 0.35034887 0.73345387 0.66999056]\n",
|
|
" [0.5901886 0.35033087 0.73344927 0.66995308]\n",
|
|
" [0.59010837 0.35031286 0.73344467 0.66991559]\n",
|
|
" [0.59002814 0.35029486 0.73344007 0.6698781 ]\n",
|
|
" [0.58994792 0.35027685 0.73343547 0.66984062]\n",
|
|
" [0.58986769 0.35025885 0.73343087 0.66980313]\n",
|
|
" [0.58978746 0.35024085 0.73342627 0.66976565]\n",
|
|
" [0.58970724 0.35022284 0.73342166 0.66972816]\n",
|
|
" [0.58962701 0.35020484 0.73341706 0.66969067]\n",
|
|
" [0.58954678 0.35018683 0.73341246 0.66965319]\n",
|
|
" [0.58946656 0.35016883 0.73340786 0.6696157 ]\n",
|
|
" [0.58938633 0.35015083 0.73340326 0.66957821]\n",
|
|
" [0.5893061 0.35013282 0.73339866 0.66954073]\n",
|
|
" [0.58922588 0.35011482 0.73339406 0.66950324]\n",
|
|
" [0.58914565 0.35009681 0.73338946 0.66946576]\n",
|
|
" [0.58906542 0.35007881 0.73338486 0.66942827]\n",
|
|
" [0.5889852 0.35006081 0.73338025 0.66939078]\n",
|
|
" [0.58890497 0.3500428 0.73337565 0.6693533 ]\n",
|
|
" [0.58882474 0.3500248 0.73337105 0.66931581]\n",
|
|
" [0.58874452 0.35000679 0.73336645 0.66927833]\n",
|
|
" [0.58866429 0.34998879 0.73336185 0.66924084]\n",
|
|
" [0.58858406 0.34997079 0.73335725 0.66920335]\n",
|
|
" [0.58850384 0.34995278 0.73335265 0.66916587]\n",
|
|
" [0.58842361 0.34993478 0.73334805 0.66912838]\n",
|
|
" [0.58834338 0.34991677 0.73334345 0.6690909 ]\n",
|
|
" [0.58826316 0.34989877 0.73333885 0.66905341]\n",
|
|
" [0.58818293 0.34988077 0.73333424 0.66901592]\n",
|
|
" [0.5881027 0.34986276 0.73332964 0.66897844]\n",
|
|
" [0.58802248 0.34984476 0.73332504 0.66894095]\n",
|
|
" [0.58794225 0.34982675 0.73332044 0.66890346]\n",
|
|
" [0.58786202 0.34980875 0.73331584 0.66886598]\n",
|
|
" [0.5877818 0.34979075 0.73331124 0.66882849]\n",
|
|
" [0.58770157 0.34977274 0.73330664 0.66879101]\n",
|
|
" [0.58762134 0.34975474 0.73330204 0.66875352]\n",
|
|
" [0.58754112 0.34973673 0.73329744 0.66871603]\n",
|
|
" [0.58746089 0.34971873 0.73329284 0.66867855]\n",
|
|
" [0.58738066 0.34970073 0.73328823 0.66864106]\n",
|
|
" [0.58730043 0.34968272 0.73328363 0.66860358]\n",
|
|
" [0.58722021 0.34966472 0.73327903 0.66856609]\n",
|
|
" [0.58713998 0.34964672 0.73327443 0.6685286 ]\n",
|
|
" [0.58705975 0.34962871 0.73326983 0.66849112]\n",
|
|
" [0.58697953 0.34961071 0.73326523 0.66845363]\n",
|
|
" [0.5868993 0.3495927 0.73326063 0.66841614]\n",
|
|
" [0.58681907 0.3495747 0.73325603 0.66837866]\n",
|
|
" [0.58673885 0.3495567 0.73325143 0.66834117]\n",
|
|
" [0.58665862 0.34953869 0.73324683 0.66830369]\n",
|
|
" [0.58657839 0.34952069 0.73324222 0.6682662 ]\n",
|
|
" [0.58649817 0.34950268 0.73323762 0.66822871]\n",
|
|
" [0.58641794 0.34948468 0.73323302 0.66819123]\n",
|
|
" [0.58633771 0.34946668 0.73322842 0.66815374]\n",
|
|
" [0.58625749 0.34944867 0.73322382 0.66811626]\n",
|
|
" [0.58617726 0.34943067 0.73321922 0.66807877]\n",
|
|
" [0.58609703 0.34941266 0.73321462 0.66804128]\n",
|
|
" [0.58601681 0.34939466 0.73321002 0.6680038 ]\n",
|
|
" [0.58593658 0.34937666 0.73320542 0.66796631]\n",
|
|
" [0.58585635 0.34935865 0.73320081 0.66792882]\n",
|
|
" [0.58577613 0.34934065 0.73319621 0.66789134]\n",
|
|
" [0.5856959 0.34932264 0.73319161 0.66785385]\n",
|
|
" [0.58561567 0.34930464 0.73318701 0.66781637]\n",
|
|
" [0.58553545 0.34928664 0.73318241 0.66777888]\n",
|
|
" [0.58545522 0.34926863 0.73317781 0.66774139]\n",
|
|
" [0.58537499 0.34925063 0.73317321 0.66770391]\n",
|
|
" [0.58529477 0.34923262 0.73316861 0.66766642]\n",
|
|
" [0.58521454 0.34921462 0.73316401 0.66762894]\n",
|
|
" [0.58513431 0.34919662 0.73315941 0.66759145]\n",
|
|
" [0.58505409 0.34917861 0.7331548 0.66755396]\n",
|
|
" [0.58497386 0.34916061 0.7331502 0.66751648]\n",
|
|
" [0.58489363 0.3491426 0.7331456 0.66747899]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(132, 4)\n",
|
|
"[[-2.50333789e-03 1.08769651e-05 -1.64833675e-03 2.58228979e-03]\n",
|
|
" [-2.12311113e-03 1.48880925e-04 -9.43735727e-04 2.54790940e-03]\n",
|
|
" [-1.74288436e-03 1.68848857e-05 -8.39134704e-04 2.49852901e-03]\n",
|
|
" [-1.86265760e-03 3.48888460e-05 -1.03453368e-03 1.66664862e-03]\n",
|
|
" [-1.58243083e-03 1.77892806e-04 -7.29932656e-04 7.56068232e-04]\n",
|
|
" [-5.40220407e-03 -3.94103233e-04 -3.22533163e-03 1.11508784e-03]\n",
|
|
" [-1.32197731e-03 2.38900727e-04 -5.20730609e-04 1.53280745e-03]\n",
|
|
" [-9.41750542e-04 3.99904687e-04 -4.16129585e-04 1.47312706e-03]\n",
|
|
" [-9.61523778e-04 4.21908647e-04 -2.11528561e-04 1.66644667e-03]\n",
|
|
" [-8.12970142e-05 7.65912608e-04 9.30724626e-05 1.55426628e-03]\n",
|
|
" [ 5.98929750e-04 7.35916568e-04 -2.02326514e-04 1.40928589e-03]\n",
|
|
" [-3.20843486e-04 6.10920528e-04 -4.97725490e-04 1.11880550e-03]\n",
|
|
" [ 9.59383278e-04 7.39924489e-04 -6.93124466e-04 1.76852511e-03]\n",
|
|
" [ 1.33961004e-03 7.57928449e-04 -6.88523443e-04 7.42844722e-04]\n",
|
|
" [ 1.91983681e-03 8.65932409e-04 -2.83922419e-04 1.58864332e-04]\n",
|
|
" [ 2.40006357e-03 9.39936369e-04 -2.79321395e-04 1.27583941e-04]\n",
|
|
" [-4.11970967e-03 -2.92059670e-04 -3.17472037e-03 1.33503551e-04]\n",
|
|
" [ 2.46051710e-03 1.00994429e-03 -5.70119348e-04 1.35642316e-03]\n",
|
|
" [ 2.84074386e-03 9.04948250e-04 -9.65518324e-04 2.64142771e-04]\n",
|
|
" [ 3.02097063e-03 9.33952211e-04 -8.60917300e-04 -8.63761886e-06]\n",
|
|
" [ 3.10119739e-03 8.82956171e-04 -8.56316276e-04 -6.22180089e-05]\n",
|
|
" [ 3.38142415e-03 8.75960131e-04 -1.15171525e-03 -5.08698399e-04]\n",
|
|
" [ 2.36165092e-03 7.47964091e-04 -1.24711423e-03 -2.66878789e-04]\n",
|
|
" [ 2.04187768e-03 7.61968052e-04 -1.14251321e-03 2.59940821e-04]\n",
|
|
" [ 2.42210445e-03 8.26972012e-04 -1.13791218e-03 -4.55239569e-04]\n",
|
|
" [ 3.00233121e-03 7.70975972e-04 -1.13331116e-03 -1.58199593e-05]\n",
|
|
" [ 2.88255797e-03 7.13979932e-04 -1.22871013e-03 1.81199651e-04]\n",
|
|
" [-2.83721526e-03 1.40983893e-04 -2.82410911e-03 6.54419261e-04]\n",
|
|
" [-2.55698850e-03 1.26987853e-04 -2.81950809e-03 6.72038870e-04]\n",
|
|
" [-1.97676173e-03 2.57991813e-04 -2.41490706e-03 4.90584803e-05]\n",
|
|
" [-2.49653497e-03 1.79995774e-04 -2.61030604e-03 -6.10321910e-04]\n",
|
|
" [-9.16308206e-04 -6.54000266e-04 1.29429498e-03 -9.50302300e-04]\n",
|
|
" [-1.03608144e-03 -6.18996306e-04 1.49889601e-03 -1.37208269e-03]\n",
|
|
" [-4.55854678e-04 -4.23992346e-04 1.70349703e-03 -8.36463080e-04]\n",
|
|
" [-8.75627914e-04 -3.89988385e-04 1.40809806e-03 -6.55243470e-04]\n",
|
|
" [-6.95401150e-04 -3.59984425e-04 1.71269908e-03 -1.41232386e-03]\n",
|
|
" [-1.51743863e-05 -3.85980465e-04 1.91730010e-03 -1.60630425e-03]\n",
|
|
" [-2.03494762e-03 -3.77976504e-04 1.92190113e-03 -2.32458464e-03]\n",
|
|
" [-2.05472086e-03 -5.58972544e-04 2.32650215e-03 -1.85866503e-03]\n",
|
|
" [-2.87449409e-03 -6.85968584e-04 1.83110317e-03 8.91254580e-04]\n",
|
|
" [-3.59426733e-03 -6.82964624e-04 1.93570420e-03 -2.32342581e-03]\n",
|
|
" [-2.91404057e-03 -7.50960663e-04 1.54030522e-03 -2.30780620e-03]\n",
|
|
" [-2.73381380e-03 -8.61956703e-04 8.44906245e-04 -2.40718659e-03]\n",
|
|
" [ 4.64129616e-05 -5.45952743e-04 1.64950727e-03 -2.58666698e-03]\n",
|
|
" [-1.97336027e-03 -6.54948782e-04 1.45410829e-03 -2.93034737e-03]\n",
|
|
" [-1.79313351e-03 -4.96944822e-04 2.15870932e-03 -1.63692776e-03]\n",
|
|
" [-1.01290675e-03 -5.67940862e-04 2.16331034e-03 -2.03440815e-03]\n",
|
|
" [-1.33267998e-03 -5.71936902e-04 1.76791136e-03 -1.79068854e-03]\n",
|
|
" [-9.52453218e-04 -6.33932941e-04 1.57251239e-03 -2.09016893e-03]\n",
|
|
" [-1.17222645e-03 -5.56928981e-04 1.67711341e-03 -2.18154932e-03]\n",
|
|
" [-2.91999690e-04 -5.58925021e-04 1.58171444e-03 6.67670289e-04]\n",
|
|
" [-1.11772926e-04 -6.50921060e-04 1.58631546e-03 7.44089899e-04]\n",
|
|
" [-1.13154616e-03 -7.32917100e-04 1.29091648e-03 3.31709509e-04]\n",
|
|
" [-4.51319398e-04 -6.74913140e-04 1.39551751e-03 2.70129118e-04]\n",
|
|
" [ 8.28907366e-04 -4.32909180e-04 1.70011853e-03 -3.36275127e-03]\n",
|
|
" [-3.90865870e-04 -7.33905219e-04 1.30471955e-03 -3.33843166e-03]\n",
|
|
" [-9.10639106e-04 -7.56901259e-04 9.09320578e-04 -1.31631205e-03]\n",
|
|
" [-3.04123424e-05 -7.58897299e-04 5.13921601e-04 -1.18839244e-03]\n",
|
|
" [-6.50185578e-04 -7.33893338e-04 8.18522625e-04 -9.21072832e-04]\n",
|
|
" [-6.99588145e-05 -5.70889378e-04 4.23123649e-04 -1.23415322e-03]\n",
|
|
" [ 1.10267950e-04 -4.34885418e-04 8.27724673e-04 -3.36233612e-04]\n",
|
|
" [ 4.90494714e-04 -4.63881458e-04 8.32325696e-04 5.15859978e-05]\n",
|
|
" [ 2.70721478e-04 -4.16877497e-04 9.36926720e-04 2.20305608e-04]\n",
|
|
" [ 1.50948242e-04 -3.97873537e-04 9.41527744e-04 2.11625218e-04]\n",
|
|
" [ 3.31175006e-04 -3.82869577e-04 6.46128767e-04 1.52144828e-04]\n",
|
|
" [ 1.41140177e-03 -1.81865617e-04 1.65072979e-03 -2.00935563e-04]\n",
|
|
" [ 4.91628534e-04 -3.24861656e-04 6.55330815e-04 -3.66251595e-03]\n",
|
|
" [ 5.71855298e-04 -3.49857696e-04 3.59931839e-04 -5.19796343e-04]\n",
|
|
" [ 9.52082062e-04 -2.99853736e-04 6.45328623e-05 -4.52976733e-04]\n",
|
|
" [ 1.43230883e-03 -1.37849775e-04 3.69133886e-04 -2.49957123e-04]\n",
|
|
" [ 1.71253559e-03 -1.32845815e-04 3.73734910e-04 3.26248706e-06]\n",
|
|
" [ 1.09276235e-03 -1.97841855e-04 2.78335934e-04 -4.68179030e-05]\n",
|
|
" [ 5.72989117e-04 -4.00837895e-04 -3.17063043e-04 9.94501707e-04]\n",
|
|
" [ 8.53215881e-04 -3.24833934e-04 -5.12462019e-04 8.52921317e-04]\n",
|
|
" [ 2.33442645e-04 -3.93829974e-04 -8.07860995e-04 1.09994093e-03]\n",
|
|
" [ 7.13669409e-04 -2.93826014e-04 -8.03259972e-04 1.38586054e-03]\n",
|
|
" [ 2.19389617e-03 9.81779466e-05 2.30134105e-03 1.48028015e-03]\n",
|
|
" [ 7.74122937e-04 -2.80818093e-04 -5.94057924e-04 -4.28180024e-03]\n",
|
|
" [ 1.25434970e-03 -2.48814133e-04 -4.89456900e-04 9.77719366e-04]\n",
|
|
" [ 1.23457647e-03 -1.51810173e-04 -7.84855877e-04 7.68538976e-04]\n",
|
|
" [ 1.51480323e-03 -1.53806212e-04 -9.80254853e-04 8.04558586e-04]\n",
|
|
" [ 1.59502999e-03 -6.88022520e-05 -8.75653829e-04 7.29178196e-04]\n",
|
|
" [ 1.17525676e-03 -2.32798292e-04 -1.07105281e-03 6.34297806e-04]\n",
|
|
" [ 1.95548352e-03 -2.58794331e-04 -1.26645178e-03 1.01801742e-03]\n",
|
|
" [ 2.13571029e-03 -2.14790371e-04 -1.46185076e-03 8.63137026e-04]\n",
|
|
" [ 1.81593705e-03 -3.91786411e-04 -1.65724973e-03 8.71156636e-04]\n",
|
|
" [ 1.79616381e-03 -4.09782451e-04 -1.85264871e-03 6.35076246e-04]\n",
|
|
" [ 2.77639058e-03 4.26221510e-04 2.55195231e-03 6.40795856e-04]\n",
|
|
" [ 3.65661734e-03 7.32225470e-04 2.25655334e-03 -4.62698453e-03]\n",
|
|
" [ 4.53684411e-03 8.87229430e-04 1.86115436e-03 5.98635076e-04]\n",
|
|
" [ 4.51707087e-03 6.81233391e-04 1.66575538e-03 8.47054685e-04]\n",
|
|
" [ 2.19729763e-03 -1.45762649e-04 -1.52964359e-03 1.16837430e-03]\n",
|
|
" [ 2.37752440e-03 -1.29758689e-04 -6.25042568e-04 1.24399391e-03]\n",
|
|
" [ 2.15775116e-03 -8.75472860e-06 7.95584555e-05 2.19341352e-03]\n",
|
|
" [ 2.43797793e-03 1.62492317e-05 5.84159479e-04 1.81323313e-03]\n",
|
|
" [ 2.71820469e-03 -2.74680803e-06 7.88760503e-04 1.30125274e-03]\n",
|
|
" [ 2.49843145e-03 -7.67428478e-05 3.93361527e-04 1.18507234e-03]\n",
|
|
" [ 2.47865822e-03 7.26111253e-06 9.79625504e-05 1.72579195e-03]\n",
|
|
" [ 2.35888498e-03 -2.87349272e-05 1.02563574e-04 2.02081156e-03]\n",
|
|
" [ 2.53911175e-03 1.61269033e-04 7.07164598e-04 -5.14896883e-03]\n",
|
|
" [ 2.21933851e-03 1.71272993e-04 8.11765622e-04 2.12405078e-03]\n",
|
|
" [ 2.39956527e-03 2.35276954e-04 1.21636665e-03 2.03627039e-03]\n",
|
|
" [ 2.77979204e-03 3.05280914e-04 1.42096767e-03 1.64929000e-03]\n",
|
|
" [ 3.46001880e-03 1.62848742e-05 -6.74431307e-04 1.74820961e-03]\n",
|
|
" [ 2.94024557e-03 3.18288835e-04 1.53016972e-03 1.70912922e-03]\n",
|
|
" [ 2.92047233e-03 1.70292795e-04 9.34770740e-04 2.02804883e-03]\n",
|
|
" [ 2.20069909e-03 1.99296755e-04 4.39371764e-04 1.77316844e-03]\n",
|
|
" [-1.11907414e-03 9.13007154e-05 -2.56027212e-04 1.80438805e-03]\n",
|
|
" [-5.38847379e-04 6.03046756e-05 -6.51426189e-04 1.63580766e-03]\n",
|
|
" [-3.05862061e-03 4.30863592e-06 -8.46825165e-04 1.49802727e-03]\n",
|
|
" [-3.67839385e-03 -1.42687404e-04 -1.74222414e-03 -4.27685312e-03]\n",
|
|
" [-3.79816709e-03 -1.31683444e-04 -1.53762312e-03 -3.88293351e-03]\n",
|
|
" [-5.11794032e-03 -1.47679483e-04 -1.63302209e-03 -3.82341390e-03]\n",
|
|
" [-5.23771356e-03 -1.68675523e-04 -1.82842107e-03 -3.42099429e-03]\n",
|
|
" [ 4.44251321e-03 5.88328437e-04 -1.23820046e-04 9.10825324e-04]\n",
|
|
" [-3.47726003e-03 3.93323976e-05 -1.31921902e-03 7.05244933e-04]\n",
|
|
" [-2.89703327e-03 1.87336358e-04 -7.14617999e-04 3.28564543e-04]\n",
|
|
" [-3.41680650e-03 1.40340318e-04 -5.10016975e-04 4.70284153e-04]\n",
|
|
" [-3.13657974e-03 1.66344278e-04 -3.05415951e-04 3.58503763e-04]\n",
|
|
" [-2.65635297e-03 1.53348239e-04 -3.00814928e-04 6.61223373e-04]\n",
|
|
" [-2.47612621e-03 2.50352199e-04 -4.96213904e-04 6.08642983e-04]\n",
|
|
" [-1.99589945e-03 3.97356159e-04 -9.16128802e-05 2.70862593e-04]\n",
|
|
" [-2.91567268e-03 3.63360120e-04 -1.87011856e-04 1.48220290e-06]\n",
|
|
" [-1.93544592e-03 3.64364080e-04 -8.24108328e-05 -3.79698187e-04]\n",
|
|
" [-2.95521915e-03 3.48368040e-04 -3.77809809e-04 -5.38878577e-04]\n",
|
|
" [ 5.92500761e-03 7.41372000e-04 6.26791215e-04 2.65410327e-05]\n",
|
|
" [-2.79476563e-03 4.74375961e-04 -3.68607762e-04 5.99760643e-04]\n",
|
|
" [-2.51453886e-03 4.51379921e-04 -4.64006738e-04 5.35780253e-04]\n",
|
|
" [-2.13431210e-03 3.13383881e-04 -9.59405714e-04 5.45799862e-04]\n",
|
|
" [-2.65408533e-03 2.91387842e-04 -1.55480469e-03 6.63419472e-04]\n",
|
|
" [-2.47385857e-03 3.64391802e-04 -1.45020367e-03 -1.09960918e-04]\n",
|
|
" [-2.69363181e-03 3.82395762e-04 -1.84560264e-03 1.73258692e-04]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(132, 4)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Create a dictionary with the data\n",
|
|
"trend_dict = {'XRP' : trend_line_xrp, \n",
|
|
" 'ETH' : trend_line_eth, \n",
|
|
" 'LTC' : trend_line_ltc, \n",
|
|
" 'BTC' : trend_line_btc\n",
|
|
" }\n",
|
|
"\n",
|
|
"df = pd.DataFrame(trend_dict)\n",
|
|
"\n",
|
|
"# Fill the DataFrame column by column\n",
|
|
"for col, values in trend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
"\n",
|
|
"X0_trend = df.to_numpy()\n",
|
|
"print (X0_trend)\n",
|
|
"print (type(X0_trend))\n",
|
|
"print (X0_trend.shape)\n",
|
|
"\n",
|
|
"trend_dict = {'XRP' : detrend_xrp, \n",
|
|
" 'ETH' : detrend_eth, \n",
|
|
" 'LTC' : detrend_ltc, \n",
|
|
" 'BTC' : detrend_btc\n",
|
|
" }\n",
|
|
"# Fill the DataFrame column by column\n",
|
|
"for col, values in trend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
"\n",
|
|
"X0_detrend = df.to_numpy()\n",
|
|
"print (X0_detrend)\n",
|
|
"print (type(X0_detrend))\n",
|
|
"print (X0_detrend.shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "5a8e4ef4-3aba-4f09-a299-b23b8b5a0622",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "2b858590-3d28-4844-bcaf-d38e6c6afe7f",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"id": "6a89d4c1-0f28-4d5d-b135-52af6c9fe53e",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"ename": "NameError",
|
|
"evalue": "name 'pd' is not defined",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
|
"Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df_trend \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mDataFrame(X0, columns \u001b[38;5;241m=\u001b[39m crypto_list)\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28mprint\u001b[39m (\u001b[38;5;28mlen\u001b[39m(df_trend))\n\u001b[1;32m 5\u001b[0m trend \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mpolyfit(np\u001b[38;5;241m.\u001b[39marange(\u001b[38;5;28mlen\u001b[39m(df_trend)), df_trend[crypto_list[\u001b[38;5;241m2\u001b[39m]], \u001b[38;5;241m1\u001b[39m)\n",
|
|
"\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"df_trend = pd.DataFrame(X0, columns = crypto_list)\n",
|
|
"\n",
|
|
"print (len(df_trend))\n",
|
|
"\n",
|
|
"trend = np.polyfit(np.arange(len(df_trend)), df_trend[crypto_list[2]], 1)\n",
|
|
"print (trend)\n",
|
|
"\n",
|
|
"trend_line = np.polyval(trend, np.arange(len(df_trend)))\n",
|
|
"print (trend_line)\n",
|
|
"\n",
|
|
"detrended_series = df_trend[crypto_list[2]] - trend_line\n",
|
|
"print (detrended_series)\n",
|
|
"\n",
|
|
"fig, ax = plt.subplots()\n",
|
|
"ax.plot(df_trend.index, df_trend[crypto_list[2]], label = crypto_list[2], color = 'blue')\n",
|
|
"# ax.plot(df_trend.index, detrended_series, label = crypto_list[2], color = 'red')\n",
|
|
"ax.plot(df_trend.index, trend_line, label = crypto_list[2], color = 'red')\n",
|
|
"\n",
|
|
"ax.set_xlabel('Date')\n",
|
|
"ax.set_ylabel('Values')\n",
|
|
"ax.set_title('Time Series Plot')\n",
|
|
"ax.legend()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"id": "9187fc21-3596-4c31-975b-a0fbc461c2c6",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"13200\n",
|
|
"[-6.51374912e-07 6.71368829e-01]\n",
|
|
"[0.67136883 0.67136818 0.67136753 ... 0.66277263 0.66277198 0.66277133]\n",
|
|
"0 0.001051\n",
|
|
"1 0.001105\n",
|
|
"2 0.001041\n",
|
|
"3 0.000915\n",
|
|
"4 0.001023\n",
|
|
" ... \n",
|
|
"13195 -0.020454\n",
|
|
"13196 -0.020409\n",
|
|
"13197 -0.020256\n",
|
|
"13198 -0.020995\n",
|
|
"13199 -0.020677\n",
|
|
"Name: BTC, Length: 13200, dtype: float64\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"df_trend = pd.DataFrame(X0, columns = crypto_list)\n",
|
|
"\n",
|
|
"print (len(df_trend))\n",
|
|
"\n",
|
|
"trend = np.polyfit(np.arange(len(df_trend)), df_trend[crypto_list[3]], 1)\n",
|
|
"print (trend)\n",
|
|
"\n",
|
|
"trend_line = np.polyval(trend, np.arange(len(df_trend)))\n",
|
|
"print (trend_line)\n",
|
|
"\n",
|
|
"detrended_series = df_trend[crypto_list[3]] - trend_line\n",
|
|
"print (detrended_series)\n",
|
|
"\n",
|
|
"fig, ax = plt.subplots()\n",
|
|
"ax.plot(df_trend.index, df_trend[crypto_list[3]], label = crypto_list[3], color = 'blue')\n",
|
|
"# ax.plot(df_trend.index, detrended_series, label = crypto_list[3], color = 'green')\n",
|
|
"ax.plot(df_trend.index, trend_line, label = crypto_list[3], color = 'red')\n",
|
|
"\n",
|
|
"ax.set_xlabel('Date')\n",
|
|
"ax.set_ylabel('Values')\n",
|
|
"ax.set_title('Time Series Plot')\n",
|
|
"ax.legend()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "ec5f297d-be92-421a-b25e-d61043ed9faf",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "25192919-185e-4df3-909c-2f760f852023",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 334,
|
|
"id": "cf50668b-5970-4caa-bed5-72cc62e4ea8e",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"100\n",
|
|
"[0.5185 0.5184 0.5182 0.5184 0.5184 0.5184 0.5184 0.5183 0.5186 0.5194\n",
|
|
" 0.5187 0.5182 0.5179 0.5177 0.518 0.518 0.5178 0.5179 0.5181 0.5181\n",
|
|
" 0.5194 0.5181 0.5182 0.5182 0.518 0.5183 0.518 0.518 0.5181 0.5182\n",
|
|
" 0.5184 0.5192]\n",
|
|
"0.518296875\n",
|
|
"0.00040193623172710965\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# 06.05.2024 just helper\n",
|
|
"values = X_XRP_close.reshape(batch-cnt_thrown_idx, sl)\n",
|
|
"\n",
|
|
"print (batch-cnt_thrown_idx)\n",
|
|
"print (values[0])\n",
|
|
"print (np.mean(values[0]))\n",
|
|
"print (np.std(values[0]))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 83,
|
|
"id": "88e292cc-1244-462a-b311-3e964773c742",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"0\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/usr/local/lib/python3.11/dist-packages/statsmodels/tsa/stattools.py:693: RuntimeWarning: invalid value encountered in divide\n",
|
|
" acf = avf[: nlags + 1] / avf[0]\n"
|
|
]
|
|
},
|
|
{
|
|
"ename": "IndexError",
|
|
"evalue": "index 1 is out of bounds for axis 0 with size 1",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)",
|
|
"Cell \u001b[0;32mIn[83], line 9\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m# Plot the autocorrelation function (ACF) \u001b[39;00m\n\u001b[1;32m 8\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize \u001b[38;5;241m=\u001b[39m (\u001b[38;5;241m12\u001b[39m, \u001b[38;5;241m6\u001b[39m))\n\u001b[0;32m----> 9\u001b[0m \u001b[43mplot_acf\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlags\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43msl\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 10\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAutocorrelation Function (ACF)\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 11\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow()\n",
|
|
"File \u001b[0;32m/usr/local/lib/python3.11/dist-packages/pandas/util/_decorators.py:213\u001b[0m, in \u001b[0;36mdeprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 211\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[1;32m 212\u001b[0m kwargs[new_arg_name] \u001b[38;5;241m=\u001b[39m new_arg_value\n\u001b[0;32m--> 213\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
|
"File \u001b[0;32m/usr/local/lib/python3.11/dist-packages/statsmodels/graphics/tsaplots.py:217\u001b[0m, in \u001b[0;36mplot_acf\u001b[0;34m(x, ax, lags, alpha, use_vlines, adjusted, fft, missing, title, zero, auto_ylims, bartlett_confint, vlines_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m 215\u001b[0m confint \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 216\u001b[0m \u001b[38;5;66;03m# acf has different return type based on alpha\u001b[39;00m\n\u001b[0;32m--> 217\u001b[0m acf_x \u001b[38;5;241m=\u001b[39m \u001b[43macf\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 218\u001b[0m \u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 219\u001b[0m \u001b[43m \u001b[49m\u001b[43mnlags\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnlags\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 220\u001b[0m \u001b[43m \u001b[49m\u001b[43malpha\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43malpha\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 221\u001b[0m \u001b[43m \u001b[49m\u001b[43mfft\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfft\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 222\u001b[0m \u001b[43m \u001b[49m\u001b[43mbartlett_confint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbartlett_confint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 223\u001b[0m \u001b[43m \u001b[49m\u001b[43madjusted\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43madjusted\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 224\u001b[0m \u001b[43m \u001b[49m\u001b[43mmissing\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmissing\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 225\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 226\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m alpha \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 227\u001b[0m acf_x, confint \u001b[38;5;241m=\u001b[39m acf_x[:\u001b[38;5;241m2\u001b[39m]\n",
|
|
"File \u001b[0;32m/usr/local/lib/python3.11/dist-packages/statsmodels/tsa/stattools.py:700\u001b[0m, in \u001b[0;36macf\u001b[0;34m(x, adjusted, nlags, qstat, fft, alpha, bartlett_confint, missing)\u001b[0m\n\u001b[1;32m 698\u001b[0m varacf \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mones_like(acf) \u001b[38;5;241m/\u001b[39m nobs\n\u001b[1;32m 699\u001b[0m varacf[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m--> 700\u001b[0m \u001b[43mvaracf\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1.0\u001b[39m \u001b[38;5;241m/\u001b[39m nobs\n\u001b[1;32m 701\u001b[0m varacf[\u001b[38;5;241m2\u001b[39m:] \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m np\u001b[38;5;241m.\u001b[39mcumsum(acf[\u001b[38;5;241m1\u001b[39m:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m)\n\u001b[1;32m 702\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
|
|
"\u001b[0;31mIndexError\u001b[0m: index 1 is out of bounds for axis 0 with size 1"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<Figure size 1200x600 with 0 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Figure AutoCorrelations and Partial AutoCorrelations\n",
|
|
"import seaborn as sns\n",
|
|
"from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
|
|
"\n",
|
|
"for i in range(batch-cnt_thrown_idx-1):\n",
|
|
" print (i)\n",
|
|
"# Plot the autocorrelation function (ACF) \n",
|
|
" plt.figure(figsize = (12, 6))\n",
|
|
" plot_acf(values[i], lags = sl-1)\n",
|
|
" plt.title('Autocorrelation Function (ACF)')\n",
|
|
" plt.show()\n",
|
|
" \n",
|
|
"# Plot the partial autocorrelation function (PACF)\n",
|
|
" # plt.figure(figsize = (12, 6))\n",
|
|
" # plot_pacf(values[round(i/2)], lags = 60)\n",
|
|
" # plt.title('Partial Autocorrelation Function (PACF)')\n",
|
|
" # plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"id": "4021e394-635b-4493-8a89-a658e1229325",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
|
|
"I0000 00:00:1722890799.900563 638 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
|
"I0000 00:00:1722890799.911031 638 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
|
"I0000 00:00:1722890799.915018 638 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
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"I0000 00:00:1722890799.919872 638 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
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"I0000 00:00:1722890799.923804 638 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
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"I0000 00:00:1722890799.927679 638 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
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"I0000 00:00:1722890800.068169 638 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
|
"I0000 00:00:1722890800.069946 638 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
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"I0000 00:00:1722890800.071571 638 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
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"2024-08-05 20:46:40.073194: I tensorflow/core/common_runtime/gpu/gpu_device.cc:2021] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 10272 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:05:00.0, compute capability: 8.6\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
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"\u001b[1mModel: \"sequential\"\u001b[0m\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
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"┃<span style=\"font-weight: bold\"> Layer (type) </span>┃<span style=\"font-weight: bold\"> Output Shape </span>┃<span style=\"font-weight: bold\"> Param # </span>┃\n",
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"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
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"│ lstm (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">132</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">17,664</span> │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ lstm_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">98,816</span> │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">516</span> │\n",
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"└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
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"┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
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"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
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"│ lstm (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m132\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m17,664\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ lstm_1 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m98,816\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ dropout (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ dense (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m) │ \u001b[38;5;34m516\u001b[0m │\n",
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"└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">116,996</span> (457.02 KB)\n",
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">116,996</span> (457.02 KB)\n",
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"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m116,996\u001b[0m (457.02 KB)\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
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{
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"name": "stdout",
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"text": [
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"Epoch 1/25\n"
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]
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},
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{
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"text": [
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"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
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"I0000 00:00:1722890802.786744 786 service.cc:146] XLA service 0xd554c20 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
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"I0000 00:00:1722890802.786780 786 service.cc:154] StreamExecutor device (0): NVIDIA GeForce RTX 3060, Compute Capability 8.6\n",
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"2024-08-05 20:46:42.849855: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:268] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.\n",
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"2024-08-05 20:46:43.047378: W tensorflow/core/framework/op_kernel.cc:1840] OP_REQUIRES failed at xla_ops.cc:577 : INVALID_ARGUMENT: Incompatible shapes: [32,10,4] vs. [32,4]\n",
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"\t [[{{node compile_loss/mse/sub}}]]\n",
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"\ttf2xla conversion failed while converting __inference_one_step_on_data_3653[]. Run with TF_DUMP_GRAPH_PREFIX=/path/to/dump/dir and --vmodule=xla_compiler=2 to obtain a dump of the compiled functions.\n",
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"2024-08-05 20:46:43.047454: I tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: INVALID_ARGUMENT: Incompatible shapes: [32,10,4] vs. [32,4]\n",
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"\t [[{{node compile_loss/mse/sub}}]]\n",
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"\ttf2xla conversion failed while converting __inference_one_step_on_data_3653[]. Run with TF_DUMP_GRAPH_PREFIX=/path/to/dump/dir and --vmodule=xla_compiler=2 to obtain a dump of the compiled functions.\n",
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"\t [[StatefulPartitionedCall]]\n"
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]
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},
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{
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"ename": "InvalidArgumentError",
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"evalue": "Graph execution error:\n\nDetected at node compile_loss/mse/sub defined at (most recent call last):\n<stack traces unavailable>\nIncompatible shapes: [32,10,4] vs. [32,4]\n\t [[{{node compile_loss/mse/sub}}]]\n\ttf2xla conversion failed while converting __inference_one_step_on_data_3653[]. Run with TF_DUMP_GRAPH_PREFIX=/path/to/dump/dir and --vmodule=xla_compiler=2 to obtain a dump of the compiled functions.\n\t [[StatefulPartitionedCall]] [Op:__inference_one_step_on_iterator_3714]",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mInvalidArgumentError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[17], line 31\u001b[0m\n\u001b[1;32m 27\u001b[0m model_4f\u001b[38;5;241m.\u001b[39msummary()\n\u001b[1;32m 29\u001b[0m \u001b[38;5;66;03m# fit model\u001b[39;00m\n\u001b[1;32m 30\u001b[0m \u001b[38;5;66;03m# The number of epochs is the number of complete passes through the training dataset\u001b[39;00m\n\u001b[0;32m---> 31\u001b[0m history \u001b[38;5;241m=\u001b[39m \u001b[43mmodel_4f\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_detrend\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_detrend\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mepochs\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m25\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 32\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalidation_split\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0.2\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 33\u001b[0m \u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 34\u001b[0m \u001b[38;5;66;03m# , callbacks=[es])\u001b[39;00m\n\u001b[1;32m 35\u001b[0m \u001b[38;5;66;03m# , callbacks = [TimeStepErrorLogger()])\u001b[39;00m\n\u001b[1;32m 36\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[38;5;66;03m# validation_split = 0.2,\u001b[39;00m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;66;03m# verbose = 2)\u001b[39;00m\n",
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"File \u001b[0;32m/usr/local/lib/python3.11/dist-packages/keras/src/utils/traceback_utils.py:122\u001b[0m, in \u001b[0;36mfilter_traceback.<locals>.error_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 119\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m _process_traceback_frames(e\u001b[38;5;241m.\u001b[39m__traceback__)\n\u001b[1;32m 120\u001b[0m \u001b[38;5;66;03m# To get the full stack trace, call:\u001b[39;00m\n\u001b[1;32m 121\u001b[0m \u001b[38;5;66;03m# `keras.config.disable_traceback_filtering()`\u001b[39;00m\n\u001b[0;32m--> 122\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\u001b[38;5;241m.\u001b[39mwith_traceback(filtered_tb) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 123\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m 124\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m filtered_tb\n",
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"File \u001b[0;32m/usr/local/lib/python3.11/dist-packages/tensorflow/python/eager/execute.py:53\u001b[0m, in \u001b[0;36mquick_execute\u001b[0;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[0m\n\u001b[1;32m 51\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 52\u001b[0m ctx\u001b[38;5;241m.\u001b[39mensure_initialized()\n\u001b[0;32m---> 53\u001b[0m tensors \u001b[38;5;241m=\u001b[39m pywrap_tfe\u001b[38;5;241m.\u001b[39mTFE_Py_Execute(ctx\u001b[38;5;241m.\u001b[39m_handle, device_name, op_name,\n\u001b[1;32m 54\u001b[0m inputs, attrs, num_outputs)\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m core\u001b[38;5;241m.\u001b[39m_NotOkStatusException \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 56\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
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"\u001b[0;31mInvalidArgumentError\u001b[0m: Graph execution error:\n\nDetected at node compile_loss/mse/sub defined at (most recent call last):\n<stack traces unavailable>\nIncompatible shapes: [32,10,4] vs. [32,4]\n\t [[{{node compile_loss/mse/sub}}]]\n\ttf2xla conversion failed while converting __inference_one_step_on_data_3653[]. Run with TF_DUMP_GRAPH_PREFIX=/path/to/dump/dir and --vmodule=xla_compiler=2 to obtain a dump of the compiled functions.\n\t [[StatefulPartitionedCall]] [Op:__inference_one_step_on_iterator_3714]"
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]
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}
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],
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"source": [
|
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"n_steps = sl\n",
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"\n",
|
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"# model_4f = Sequential()\n",
|
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"# model_4f.add(tf.keras.layers.LSTM(32, activation = 'relu', return_sequences = True, input_shape = (n_steps, n_features)))\n",
|
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"# model_4f.add(tf.keras.layers.LSTM(64, activation = 'relu'))\n",
|
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"# model_4f.add(tf.keras.layers.Dense(n_features))\n",
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"\n",
|
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"# model_4f.compile(optimizer = 'adam', loss = 'mse')\n",
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"\n",
|
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"# model_4f.summary()\n",
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"\n",
|
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"# fit model\n",
|
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"# The number of epochs is the number of complete passes through the training dataset\n",
|
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"# history = model_4f.fit(X_detrend, y_detrend, epochs = 100, validation_split = 0.2, verbose = 1)\n",
|
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"\n",
|
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"model_4f = Sequential()\n",
|
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"model_4f.add(tf.keras.layers.Input(shape = (n_steps, n_features)))\n",
|
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"model_4f.add(tf.keras.layers.LSTM(units = 64, activation = 'relu', return_sequences = True)) \n",
|
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"model_4f.add(tf.keras.layers.LSTM(units = 128, activation = 'relu', return_sequences = False))\n",
|
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"model_4f.add(tf.keras.layers.Dropout(0.2)) \n",
|
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"model_4f.add(tf.keras.layers.Dense(units = n_out))\n",
|
|
"# sgd = SGD(clipvalue=1.0) # Example of gradient clipping\n",
|
|
"# model_4f.compile(optimizer=sgd, loss='mse')\n",
|
|
"# sgd = SGD(clipvalue = 1.0, learning_rate = 0.10)\n",
|
|
"# model_4f.compile(optimizer = sgd, loss = 'mse')\n",
|
|
"model_4f.compile(optimizer = 'adam', loss = 'mse')\n",
|
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"model_4f.summary()\n",
|
|
"\n",
|
|
"# fit model\n",
|
|
"# The number of epochs is the number of complete passes through the training dataset\n",
|
|
"history = model_4f.fit(X_detrend, y_detrend, epochs = 25, \n",
|
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" validation_split = 0.2,\n",
|
|
" verbose = 2)\n",
|
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" # , callbacks=[es])\n",
|
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" # , callbacks = [TimeStepErrorLogger()])\n",
|
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"\n",
|
|
"# # model_8f.add(tf.keras.layers.Dropout(0.2)) \n",
|
|
"# model_8f.add(tf.keras.layers.RepeatVector(frwd))\n",
|
|
"# model_8f.add(tf.keras.layers.LSTM(units = 32, activation = 'relu', return_sequences = True))\n",
|
|
"# # model_8f.add(tf.keras.layers.Dropout(0.2)) \n",
|
|
"# model_8f.add(tf.keras.layers.TimeDistributed(Dense(units = n_out)))\n",
|
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"\n",
|
|
"# # Compile the model with MSE loss computed for each time step\n",
|
|
"\n",
|
|
"# # sgd = SGD(learning_rate = 0.1)\n",
|
|
"# # model_8f.compile(optimizer = sgd, loss = 'mse')\n",
|
|
"# model_8f.compile(optimizer = 'adam', loss = 'mean_squared_error')\n",
|
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"# model_8f.summary()\n",
|
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"\n",
|
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"# # es = EarlyStopping(monitor = 'val_loss', mode = 'min', verbose = 1, patience = 5)\n",
|
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"\n",
|
|
"# # fit model\n",
|
|
"# # The number of epochs is the number of complete passes through the training dataset\n",
|
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"# history = model_8f.fit(X, y, epochs = 500, \n",
|
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"# validation_split = 0.2,\n",
|
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"# verbose = 2)"
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]
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},
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{
|
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"cell_type": "code",
|
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"execution_count": 19,
|
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"id": "c4a5b95b-3d09-4bc7-b043-43edd7ab2e99",
|
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"metadata": {},
|
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"outputs": [
|
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{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
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"text": [
|
|
"===================================================\n",
|
|
"sequence length: 132\n",
|
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"100\n",
|
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"0\n",
|
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"batch size: 100\n",
|
|
"no. of variables: 4\n",
|
|
"no. of predicted variables: 4\n",
|
|
"how many steps forward to predict: 10\n",
|
|
"===================================================\n",
|
|
"input shape (100, 132, 4)\n",
|
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"output shape (100, 10, 4)\n"
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]
|
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}
|
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],
|
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"source": [
|
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"print (\"===================================================\")\n",
|
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"print (\"sequence length: \", sl)\n",
|
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"\n",
|
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"print (batch)\n",
|
|
"print (cnt_thrown_idx)\n",
|
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"\n",
|
|
"print (\"batch size: \", batch-cnt_thrown_idx)\n",
|
|
"print (\"no. of variables: \", n_features)\n",
|
|
"print (\"no. of predicted variables: \", n_out)\n",
|
|
"print (\"how many steps forward to predict: \", frwd)\n",
|
|
"print (\"===================================================\")\n",
|
|
"print (\"input shape\", X_detrend.shape)\n",
|
|
"print (\"output shape\", y_detrend.shape)"
|
|
]
|
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},
|
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{
|
|
"cell_type": "code",
|
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"execution_count": 18,
|
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"id": "e92d8dd4-d7d5-43a9-99c3-e32a2301560b",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_1\"</span>\n",
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"</pre>\n"
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],
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"text/plain": [
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"\u001b[1mModel: \"sequential_1\"\u001b[0m\n"
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]
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"metadata": {},
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"output_type": "display_data"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
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"┃<span style=\"font-weight: bold\"> Layer (type) </span>┃<span style=\"font-weight: bold\"> Output Shape </span>┃<span style=\"font-weight: bold\"> Param # </span>┃\n",
|
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"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
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"│ lstm_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1,058,816</span> │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
|
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"│ repeat_vector (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">RepeatVector</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
|
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
|
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"│ lstm_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">787,456</span> │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ time_distributed │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1,028</span> │\n",
|
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"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TimeDistributed</span>) │ │ │\n",
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"└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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"</pre>\n"
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],
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"text/plain": [
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"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
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"┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
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"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
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"│ lstm_2 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m1,058,816\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
|
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"│ repeat_vector (\u001b[38;5;33mRepeatVector\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ lstm_3 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m787,456\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ time_distributed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m4\u001b[0m) │ \u001b[38;5;34m1,028\u001b[0m │\n",
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"│ (\u001b[38;5;33mTimeDistributed\u001b[0m) │ │ │\n",
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"└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
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]
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},
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"metadata": {},
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,847,300</span> (7.05 MB)\n",
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"</pre>\n"
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],
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"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,847,300\u001b[0m (7.05 MB)\n"
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]
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,847,300</span> (7.05 MB)\n",
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"</pre>\n"
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"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,847,300\u001b[0m (7.05 MB)\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
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"</pre>\n"
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],
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"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 1/50\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2024-08-05 20:47:17.051007: I external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:531] Loaded cuDNN version 8906\n",
|
|
"2024-08-05 20:47:18.193218: I external/local_xla/xla/stream_executor/cuda/cuda_asm_compiler.cc:393] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_69', 76 bytes spill stores, 76 bytes spill loads\n",
|
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"\n",
|
|
"2024-08-05 20:47:18.755983: I external/local_xla/xla/stream_executor/cuda/cuda_asm_compiler.cc:393] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_69', 8 bytes spill stores, 8 bytes spill loads\n",
|
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"\n",
|
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"2024-08-05 20:47:19.050776: I external/local_xla/xla/stream_executor/cuda/cuda_asm_compiler.cc:393] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_72', 20 bytes spill stores, 20 bytes spill loads\n",
|
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"\n",
|
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"2024-08-05 20:47:19.054557: I external/local_xla/xla/stream_executor/cuda/cuda_asm_compiler.cc:393] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_72', 32 bytes spill stores, 32 bytes spill loads\n",
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"\n",
|
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"2024-08-05 20:47:19.921223: I external/local_xla/xla/stream_executor/cuda/cuda_asm_compiler.cc:393] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_72', 32 bytes spill stores, 32 bytes spill loads\n",
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"\n",
|
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"2024-08-05 20:47:20.308489: I external/local_xla/xla/stream_executor/cuda/cuda_asm_compiler.cc:393] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_72', 32 bytes spill stores, 32 bytes spill loads\n",
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"\n",
|
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"2024-08-05 20:47:20.562651: I external/local_xla/xla/stream_executor/cuda/cuda_asm_compiler.cc:393] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_72', 20 bytes spill stores, 20 bytes spill loads\n",
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"\n",
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"I0000 00:00:1722890842.291073 788 device_compiler.h:188] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n",
|
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"2024-08-05 20:47:23.009160: I external/local_xla/xla/stream_executor/cuda/cuda_asm_compiler.cc:393] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_69', 32 bytes spill stores, 32 bytes spill loads\n",
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"\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"3/3 - 12s - 4s/step - loss: 1.4729e-05 - val_loss: 2.9006e-05\n",
|
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"Epoch 2/50\n",
|
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"3/3 - 0s - 60ms/step - loss: 1.4610e-05 - val_loss: 2.9114e-05\n",
|
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"Epoch 3/50\n",
|
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"3/3 - 0s - 65ms/step - loss: 1.4532e-05 - val_loss: 2.9055e-05\n",
|
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"Epoch 4/50\n",
|
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"3/3 - 0s - 57ms/step - loss: 1.4488e-05 - val_loss: 2.8909e-05\n",
|
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"Epoch 5/50\n",
|
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"3/3 - 0s - 71ms/step - loss: 1.4399e-05 - val_loss: 2.8808e-05\n",
|
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"Epoch 6/50\n",
|
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"3/3 - 0s - 59ms/step - loss: 1.4350e-05 - val_loss: 2.8800e-05\n",
|
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"Epoch 7/50\n",
|
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"3/3 - 0s - 74ms/step - loss: 1.4294e-05 - val_loss: 2.8936e-05\n",
|
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"Epoch 8/50\n",
|
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"3/3 - 0s - 65ms/step - loss: 1.4250e-05 - val_loss: 2.8997e-05\n",
|
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"Epoch 9/50\n",
|
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"3/3 - 0s - 71ms/step - loss: 1.4187e-05 - val_loss: 2.8836e-05\n",
|
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"Epoch 10/50\n",
|
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"3/3 - 0s - 69ms/step - loss: 1.4147e-05 - val_loss: 2.8835e-05\n",
|
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"Epoch 11/50\n",
|
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"3/3 - 0s - 62ms/step - loss: 1.4100e-05 - val_loss: 2.8609e-05\n",
|
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"Epoch 12/50\n",
|
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"3/3 - 0s - 68ms/step - loss: 1.4068e-05 - val_loss: 2.8590e-05\n",
|
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"Epoch 13/50\n",
|
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"3/3 - 0s - 69ms/step - loss: 1.4038e-05 - val_loss: 2.8383e-05\n",
|
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"Epoch 14/50\n",
|
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"3/3 - 0s - 72ms/step - loss: 1.3980e-05 - val_loss: 2.8514e-05\n",
|
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"Epoch 15/50\n",
|
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"3/3 - 0s - 64ms/step - loss: 1.3944e-05 - val_loss: 2.8644e-05\n",
|
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"Epoch 16/50\n",
|
|
"3/3 - 0s - 64ms/step - loss: 1.3898e-05 - val_loss: 2.8518e-05\n",
|
|
"Epoch 17/50\n",
|
|
"3/3 - 0s - 65ms/step - loss: 1.3879e-05 - val_loss: 2.8296e-05\n",
|
|
"Epoch 18/50\n",
|
|
"3/3 - 0s - 75ms/step - loss: 1.3863e-05 - val_loss: 2.8355e-05\n",
|
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"Epoch 19/50\n",
|
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"3/3 - 0s - 69ms/step - loss: 1.3810e-05 - val_loss: 2.8282e-05\n",
|
|
"Epoch 20/50\n",
|
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"3/3 - 0s - 62ms/step - loss: 1.3771e-05 - val_loss: 2.8271e-05\n",
|
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"Epoch 21/50\n",
|
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"3/3 - 0s - 63ms/step - loss: 1.3756e-05 - val_loss: 2.8222e-05\n",
|
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"Epoch 22/50\n",
|
|
"3/3 - 0s - 58ms/step - loss: 1.3745e-05 - val_loss: 2.8333e-05\n",
|
|
"Epoch 23/50\n",
|
|
"3/3 - 0s - 54ms/step - loss: 1.3689e-05 - val_loss: 2.8272e-05\n",
|
|
"Epoch 24/50\n",
|
|
"3/3 - 0s - 66ms/step - loss: 1.3653e-05 - val_loss: 2.8197e-05\n",
|
|
"Epoch 25/50\n",
|
|
"3/3 - 0s - 71ms/step - loss: 1.3644e-05 - val_loss: 2.8047e-05\n",
|
|
"Epoch 26/50\n",
|
|
"3/3 - 0s - 69ms/step - loss: 1.3594e-05 - val_loss: 2.7948e-05\n",
|
|
"Epoch 27/50\n",
|
|
"3/3 - 0s - 61ms/step - loss: 1.3621e-05 - val_loss: 2.8032e-05\n",
|
|
"Epoch 28/50\n",
|
|
"3/3 - 0s - 69ms/step - loss: 1.3552e-05 - val_loss: 2.7897e-05\n",
|
|
"Epoch 29/50\n",
|
|
"3/3 - 0s - 65ms/step - loss: 1.3544e-05 - val_loss: 2.8051e-05\n",
|
|
"Epoch 30/50\n",
|
|
"3/3 - 0s - 64ms/step - loss: 1.3511e-05 - val_loss: 2.7918e-05\n",
|
|
"Epoch 31/50\n",
|
|
"3/3 - 0s - 65ms/step - loss: 1.3499e-05 - val_loss: 2.8015e-05\n",
|
|
"Epoch 32/50\n",
|
|
"3/3 - 0s - 65ms/step - loss: 1.3487e-05 - val_loss: 2.7943e-05\n",
|
|
"Epoch 33/50\n",
|
|
"3/3 - 0s - 59ms/step - loss: 1.3445e-05 - val_loss: 2.7849e-05\n",
|
|
"Epoch 34/50\n",
|
|
"3/3 - 0s - 62ms/step - loss: 1.3449e-05 - val_loss: 2.7871e-05\n",
|
|
"Epoch 35/50\n",
|
|
"3/3 - 0s - 68ms/step - loss: 1.3428e-05 - val_loss: 2.7877e-05\n",
|
|
"Epoch 36/50\n",
|
|
"3/3 - 0s - 68ms/step - loss: 1.3375e-05 - val_loss: 2.7758e-05\n",
|
|
"Epoch 37/50\n",
|
|
"3/3 - 0s - 67ms/step - loss: 1.3389e-05 - val_loss: 2.7647e-05\n",
|
|
"Epoch 38/50\n",
|
|
"3/3 - 0s - 64ms/step - loss: 1.3348e-05 - val_loss: 2.7453e-05\n",
|
|
"Epoch 39/50\n",
|
|
"3/3 - 0s - 59ms/step - loss: 1.3398e-05 - val_loss: 2.7421e-05\n",
|
|
"Epoch 40/50\n",
|
|
"3/3 - 0s - 53ms/step - loss: 1.3394e-05 - val_loss: 2.7624e-05\n",
|
|
"Epoch 41/50\n",
|
|
"3/3 - 0s - 66ms/step - loss: 1.3346e-05 - val_loss: 2.7506e-05\n",
|
|
"Epoch 42/50\n",
|
|
"3/3 - 0s - 66ms/step - loss: 1.3269e-05 - val_loss: 2.7495e-05\n",
|
|
"Epoch 43/50\n",
|
|
"3/3 - 0s - 62ms/step - loss: 1.3276e-05 - val_loss: 2.7367e-05\n",
|
|
"Epoch 44/50\n",
|
|
"3/3 - 0s - 54ms/step - loss: 1.3264e-05 - val_loss: 2.7399e-05\n",
|
|
"Epoch 45/50\n",
|
|
"3/3 - 0s - 63ms/step - loss: 1.3245e-05 - val_loss: 2.7336e-05\n",
|
|
"Epoch 46/50\n",
|
|
"3/3 - 0s - 53ms/step - loss: 1.3225e-05 - val_loss: 2.7403e-05\n",
|
|
"Epoch 47/50\n",
|
|
"3/3 - 0s - 62ms/step - loss: 1.3219e-05 - val_loss: 2.7352e-05\n",
|
|
"Epoch 48/50\n",
|
|
"3/3 - 0s - 73ms/step - loss: 1.3196e-05 - val_loss: 2.7484e-05\n",
|
|
"Epoch 49/50\n",
|
|
"3/3 - 0s - 61ms/step - loss: 1.3163e-05 - val_loss: 2.7350e-05\n",
|
|
"Epoch 50/50\n",
|
|
"3/3 - 0s - 67ms/step - loss: 1.3174e-05 - val_loss: 2.7210e-05\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# forward more than one for de-trended model- 07.21.2024\n",
|
|
"# =======================================================\n",
|
|
"n_steps = sl\n",
|
|
"\n",
|
|
"model_8f = Sequential()\n",
|
|
"model_8f.add(tf.keras.layers.Input(shape = (n_steps, n_features)))\n",
|
|
"# model_8f.add(tf.keras.layers.LSTM(units = 512, activation = 'relu', return_sequences = False)) \n",
|
|
"\n",
|
|
"\n",
|
|
"model_8f.add(tf.keras.layers.LSTM(\n",
|
|
" units = 512,\n",
|
|
" # kernel_initializer = glorot_uniform(), # Initialize the input weights\n",
|
|
" # recurrent_initializer = orthogonal(), # Initialize the recurrent weights\n",
|
|
" # bias_initializer = zeros(), # Initialize the biases\n",
|
|
" activation = 'relu', \n",
|
|
" return_sequences = False\n",
|
|
"))\n",
|
|
"\n",
|
|
"# model_8f.add(tf.keras.layers.Dropout(0.2)) \n",
|
|
"model_8f.add(tf.keras.layers.RepeatVector(frwd))\n",
|
|
"model_8f.add(tf.keras.layers.LSTM(units = 256, activation = 'linear', return_sequences = True))\n",
|
|
"# model_8f.add(tf.keras.layers.Dropout(0.2)) \n",
|
|
"model_8f.add(tf.keras.layers.TimeDistributed(Dense(units = n_out)))\n",
|
|
"\n",
|
|
"# Compile the model with MSE loss computed for each time step\n",
|
|
"\n",
|
|
"sgd = SGD(learning_rate = 0.1)\n",
|
|
"model_8f.compile(optimizer = sgd, loss = 'mean_squared_error')\n",
|
|
"# model_8f.compile(optimizer = 'adam', loss = 'mean_squared_error')\n",
|
|
"model_8f.summary()\n",
|
|
"\n",
|
|
"# es = EarlyStopping(monitor = 'val_loss', mode = 'min', verbose = 1, patience = 5)\n",
|
|
"\n",
|
|
"history = model_8f.fit(X_detrend, y_detrend, epochs = 50, validation_split = 0.2, verbose = 2)\n",
|
|
"\n",
|
|
"# fit model\n",
|
|
"# The number of epochs is the number of complete passes through the training dataset\n",
|
|
"# history = model_8f.fit(X_detrend, y_detrend, epochs = 50, \n",
|
|
"# validation_split = 0.2,\n",
|
|
"# verbose = 2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 101,
|
|
"id": "1e40d38e-3eb1-4b9d-8d2a-8ec6a6a56f38",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"input shape (100, 132, 4)\n",
|
|
"output shape (100, 10, 4)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print (\"input shape\", X_detrend.shape)\n",
|
|
"print (\"output shape\", y_detrend.shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"id": "badacf02-562c-495a-8d62-374545da5804",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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kOO9v7dFoNOjXr1+pE601a9bM4PU///wDAPDw8Cj3s0aOHIkFCxbgzp07cHR0xIYNGzB69GiDv98jRoxAt27dEBMTg23btmHx4sVYuHAhfvnlF924tNKEhISgRYsW+PHHH/Hvf/8bP/74I4QQBi0I7733Ht5++21MnDgR7777Ltzc3GBhYYEZM2bUyMR2ZWnZsiXOnz+PjRs3YsuWLfj555/xxRdfYPbs2Zg3bx6Aqp8fd3d3FBYWIjMz0+g/RwCMxsdoz8XMmTN146Hu17Rp06oeKtLS0ir0naFqZrYOsVoGgIiJiTFYlpubK1599VXh4+Mj7OzsRKdOncTu3bur/Blz5swRwcHBD1TP2q74mBshZP+7ra2t0diF+8fcTJ48WVhaWurGfmgdOnRIABCffvqpEEKI9957TwAQ586dM1jvyJEjBmMvCgsLhaOjoxg9enS5dTbFmJtFixYJAOL8+fMV3ofW/v37BQDx1ltv6ZY5ODiYdMxN//79hZeXl9GYjNWrVwsA4tdffy1xu6KiIvHCCy8IAOLChQslrpOZmSnat28vfH19y6znvn37BAARGxtr9B4AozElQggxcuRIYWdnpxsDVNKYG1dXVzF9+nSD7fLy8oSlpaXBOWzVqlWJn1GaFStWlDpG6H5nzpwRAMSXX34pYmJiBIBy/61ISUkRvr6+IiwsrEL1effddwUAcfz4cfHII48YjA0RQo6F0o5pK87X11f06NFD99qUY26aNWsmOnXqZLT8/fffL/Pc5eXlicGDBwtLS0uRk5NT4joVPT/aP6fjx48bLC/t70VKSooAIGbNmlXmfoWQx9elSxej5VOnTi1xzM3169cN/r0i83mou6XKExkZiYMHD2L16tU4ceIEnnnmGTz++OOVHmtQ3IULF+Dj44PGjRtj7NixSEhIMGGNax8HBwcsXboUc+fOxZAhQ0pdb9CgQSgqKsJnn31msPyjjz6CSqXS/c9N+3j/1Vb3X+liaWmJp59+Gj///DNOnTpl9Hmm6OYobtiwYbC0tMS8efOMul2EELrxJhkZGSgsLDR4v23btrCwsEBeXp5umb29PdLS0kxWv0GDBiE5Odmg66SwsBCffvopHBwc0KNHDwAwmuXWwsJC18Klrd/96zg4OKBp06YG9S9JSEgIrK2tcfTo0RLfP3jwoMHYkMTERMTGxqJ///4ltoZpNWnSxGi8zLJly4xabkaMGIGDBw9i69atRvtIS0sz+nM5duwYnJ2d0bp16zKPC5AtE23btsWaNWuwZs0aeHt7G0zoWFRUZNQ15OnpCR8fn3LPm5a2lWb27NmIj483GvdhaWlp9N1bu3atbvxIdRg0aBCOHDmCgwcP6pZlZ2dj2bJlCAgIQKtWrQAYf2esra3RqlUrCCFQUFDwQOcnNDQUAEr9Xt3P09MTPXv2xFdffYWkpCSj94v/2zBo0CAcOnQIR44cMXh/5cqVJe772LFjAICuXbtWqC5UfZTdJ/IAEhISEB0djYSEBN0llDNnzsSWLVsQHR2N9957r9L77Ny5M5YvX47mzZsjKSkJ8+bNQ7du3XDq1KkSm1OVorRuoeKGDBmCXr164a233sLVq1cRHByMbdu2ITY2FjNmzNCNsXnkkUcwevRofPHFF0hPT0fXrl2xc+dOXLx40Wif77//Pnbv3o3OnTvj+eefR6tWrXD37l38+eef2LFjB+7evWuyY2zSpAnmz5+PWbNm4erVqwgPD4ejoyOuXLmCmJgYTJ48GTNnzsSuXbsQGRmJZ555Bs2aNUNhYSF++OEHXRjTCgkJwY4dO7BkyRL4+PggMDAQnTt3LrMOO3fuRG5urtHy8PBwTJ48GV999RUmTJiAY8eOISAgAOvWrcP+/fvx8ccf675/zz33HO7evYvevXvDz88P165dw6effopHHnlEN46iVatW6NmzJ0JCQuDm5oajR4/qLuEti42NDfr3748dO3bgnXfeMXq/TZs2GDBggMGl4AB03Ralee655zBlyhQ8/fTT6NevH44fP46tW7cadQ289tpr2LBhA5544glMmDABISEhyM7OxsmTJ7Fu3TpcvXrVYJvt27djyJAhFR4/MXLkSMyePRs2NjaYNGmSwfimzMxM+Pn5Yfjw4QgODoaDgwN27NiBP/74Ax9++GGF9h8YGIiuXbsiNjYWAIzCzRNPPIF33nkHzz77LLp27YqTJ09i5cqVaNy4cYX2X5qff/4Z586dM1o+fvx4vPnmm7rpHqZNmwY3Nzd89913uHLlCn7++WfdOejfvz+8vLwQFhaGBg0a4OzZs/jss88wePBgODo6Ii0trcrnp3HjxmjTpg127NiBiRMnVuiYPv/8czz22GNo27Ytnn/+eTRu3BgpKSk4ePAgrl+/rpsb6PXXX8cPP/yAxx9/HNOnT9ddCt6oUaMSx5lt374dDRs25GXgtYF5G45qD9zXLbVx40YBQNjb2xsUKysrMWLECCGEEGfPntVdwlpaeeONN0r9zH/++Uc4OTmJr7/+uroPr8bc3y1Vmvu7pYSQ3Rsvv/yy8PHxEfXq1RNBQUFi8eLFQqPRGKyXk5Mjpk2bJtzd3YW9vb0YMmSISExMLPGS4JSUFBERESH8/f1FvXr1hJeXl+jTp49YtmyZbh1TdEtp/fzzz+Kxxx7TfV9atGghIiIidN1Vly9fFhMnThRNmjQRNjY2ws3NTfTq1Uvs2LHDYD/nzp0T3bt313XpldVFpa1/aeWHH37QnYtnn31WeHh4CGtra9G2bVujY163bp3o37+/8PT0FNbW1qJhw4bihRdeEElJSbp15s+fLzp16iRcXFyEra2taNGihViwYIHIz88v97z98ssvQqVSGV12DUBERESIFStWiKCgIKFWq0X79u2NunZK6pYqKioSb7zxhvDw8BB2dnZiwIAB4uLFi0aXggshv2OzZs0STZs2FdbW1sLDw0N07dpVfPDBBwb11/7dvv/PpSwXLlzQnfN9+/YZvJeXlydee+01ERwcLBwdHYW9vb0IDg4WX3zxRYX3L4QQn3/+uQBQYleQthvd29tb2NrairCwMHHw4EHRo0ePB+qWKq1oL/++dOmSGD58uHBxcRE2NjaiU6dOYuPGjQb7+uqrr0T37t2Fu7u7UKvVokmTJuK1114T6enpJjk/S5YsEQ4ODrrpHYofZ2ndtZcuXRLjxo0TXl5eol69esLX11c88cQTYt26dQbrnThxQvTo0UPY2NgIX19f8e6774pvvvmmxO+ht7e3+M9//lOhOlP1UglRxvSbDxGVSoWYmBjdNPtr1qzB2LFjcfr0aaMmcQcHB3h5eSE/P7/c0fzu7u4GlyHer2PHjujbty+ioqIe+BiIaruioiK0atUKI0aMwLvvvmvu6pRqxowZ2Lt3L44dO8YrX+qA9PR0NG7cGIsWLcKkSZPMUof169djzJgxuHTpEry9vc1SB9Jjt1Qp2rdvj6KiIty6dQvdunUrcR1ra+sHupQ7KysLly5dwr/+9a8q74OoLrG0tMQ777yDF198UXd5cG2TmpqKr7/+Gj/99BODTR3h7OyM119/HYsXL8azzz5rljuDL1y4EJGRkQw2tcRD3XKTlZWlG6vRvn17LFmyBL169YKbmxsaNmyI//u//8P+/fvx4Ycfon379rh9+zZ27tyJdu3alTjdf3lmzpyJIUOGoFGjRrh58ybmzJmD+Ph4nDlzpszWHSIiIqq4hzrc7NmzB7169TJaPn78eCxfvhwFBQWYP38+vv/+e9y4cQMeHh7o0qUL5s2bh7Zt21b680aNGoW9e/ciNTUV9evXx2OPPYYFCxY88H2DiIiISO+hDjdERESkPJznhoiIiBSF4YaIiIgU5aG7Wkqj0eDmzZtwdHTklRBERER1hBACmZmZ8PHxKfeKuIcu3Ny8eRP+/v7mrgYRERFVQWJiYrk3333owo12mvnExEQ4OTmZuTZERERUERkZGfD396/Q7YoeunCj7YpycnJiuCEiIqpjKjKkhAOKiYiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhualpeHnDnDiCEuWtCRESkSA/dXcFrXE4OcPgwsGcPEBcHHDoE5OYCjo5A48ZAkybGxd8fsOIfDRERUVXwF9TU7t0DDh6UQWbPHhls8vON18vMBI4fl+V+VlZAUBDwxBPAiBFASAhQgVu8ExEREaAS4uHqH8nIyICzszPS09Ph5ORkuh2fPw9MmgQcOQIUFBi+5+MD9OghS8+eQKNGwNWrwKVLxuXyZeMwFBgIPPOMLLUp6BQVAYmJst4XL8rHjAwZygYMAOrVM3cNiYhIISrz+81wYyppaYCbmxxL4+cnQ4w20DRtWvFAUlQE3LghW3zWrQM2bpStQVqBgbI155lngEcfrZmgo9HI0Hb4sGGQuXLFOMhp1a8PjBkDjBsHtG9fewIZERHVSQw3Zai2cAMAMTFAcLAMIKb6Mc/OBjZtAtauBX77zTDoNG4M9OkDhIXJ0qSJ6T43Lw/YvRtYvx6IjQWSk0tez9paP3aoaVMZhH76CUhJ0a/TurUMOWPHAr6+pqkfERE9VBhuylCt4aa6FQ86GzfKwcrFeXoCXbvKoNO1q+zCUqsrvv/0dLn/2Fj5mJmpf8/JCejVC2jRQj/wuWlTGVYsLQ33U1gIbNsGfP+9DEd5eXK5SgX07asPOSqVcbGwkI+WlkDbtoCDQ5VOFRERKQvDTRnqdLgpLjsb2LED2L9flqNHjcfqqNUy4Pj4yPEvpRVLS7n97t2G3Uze3kB4uCw9e8pWmspKS5Pda99/D/z+e+W2dXMDXn8diIwE7O0r/9lERKQYDDdlUEy4uV9uLvDnn/qwc+AAcPt25ffTsqU+0HToIFtSTOXyZWDFCtm9lpMjxycVLxqN/nlGhr5rq0ED4N//BiZPBmxsTFcfIiKqMxhuyqDYcHM/IeTA38OHZetJQYHsLiooKLk0bAgMHQo0b27umktFRcDKlcDcuXLgMiAHar/9NvDss7wSi4joIcNwU4aHJtwoRUEBEB0NvPsucP26XNa4MTBnjhy7c/94H3MSQl5F5u4OuLqauzZERIrCcFMGhps6KjcXWLYMeO89fXdVixbyKixnZzkmx8FBPt7/3MOjcgOrKyMnR45V2rhRlsRE2ZXXtSswaJAs7drxUngiogfEcFMGhps6Ljsb+OwzYOFC4J9/KraNvb0cr/Pqq6a5FP3GDTluaONGOai7+FVr9eoZz/3j6wsMHAgMHiwv3Xd0fPA6EBE9ZBhuysBwoxDp6cCXXwKnTwNZWTL0FC/FlxUVyW3q1ZMtPa+/DjRrVvHP0mjk1WTa1pm//jJ8399fzsr8xBPycvlbt4DNm+Xl9Dt3Gs5NVK8e0L27nIRxwoTqa1EiIlIYhpsyMNw8ZISQc+689x6wd69cplIBw4cDs2bJ2ZNLkp0NbN8O/PqrbKUpPimhSgV06aIPNG3blt7tlJsr7zO2aZPcz6VL+vf8/YG33pIDpKtymT0R0UOE4aYMDDcPsQMHgPffl4FFa8AAGXK6d5cDljdulO/v2qWffBCQXUkDBgBDhsgupvr1q1aHCxfkxIYffwzcvCmXNWokrwIbN45XgRERlYLhpgwMN4STJ+WYndWr9V1Wfn76q7G0AgNlmBkyRIYfU7auaAdIR0Xpb23RuLEMOf/3f/LO8OXJyQHu3pWTLZpyPiIiolqI4aYMDDekc/ky8MEHwLffylYaCwsgNFR2NQ0ZArRqVf1XOeXkyLFD778vx+oA8rYWs2cDo0fLOYqK3zG++PMbN+T6dnZy8sVWreR9vLSlUaOaCz05ObJlbM8e2SIVECCPQ3ubDje3mqkHESkWw00ZGG7ISHKyHCTcoUPVu5seVHY2sHSpbFG6c0cus7Y2vqXG/VQqOa6oJPb2+tDj7CwHL1tby8eSioeHHAfk5yfvJVaWvDzg0CF5Gfzu3fJ5WXV1cTEMO02bygDWqhVvrUFEFcJwUwaGG6rVsrKAzz8HFi2SXU6AvJRce+d1bdG+dnGRrTinTxuW8+fLD0ZlcXKSIUcbdrSPN2/K1pkDB2TXWnG+vvJqsaAg4OpVOUP2pUv6sUUlUanksbRpIwdmt2kjS7NmHH9ERAYYbsrAcEN1wr17cgyQvz9ga1v57QsLZbg4fRr4+2/ZMpSXpy/5+Yavc3Nlt1hiouwKq4gGDWSY0ZamTUvuxrt3TwYwbdi5eFHW6dQpfVfc/erVk5M0DhgAjBoFPPooJ0IkesjVmXATFRWFX375BefOnYOtrS26du2KhQsXonk59zf6+OOPsXTpUiQkJMDDwwPDhw9HVFQUbCpwU0WGG6JyZGXJYHX9ugw7xZ87OMg7xPfqJcPHgwaOW7dkyNGWkyflY1aW4XpNmgAjR8qg06YNgw7RQ6jOhJvHH38co0aNQseOHVFYWIh///vfOHXqFM6cOQP7UvrhV61ahYkTJ+Lbb79F165d8ffff2PChAkYNWoUlixZUu5nMtwQ1XJCAAkJ8qav69bJy/OLzwLdsqUMOSNH1p4bvRJRtasz4eZ+t2/fhqenJ+Li4tC9e/cS14mMjMTZs2exc+dO3bJXX30Vhw8fxr59+8r9DIYbojomK0vOPbRmjZz5ufhYouBgeVuLsDA5sWJVrsrKzZWtRTk5QOfOVb/kPzUVWLtWzpHUogUwdKjsTuNl+kQmUZnf7wpMplFz0tPTAQBuZfwD1bVrV6xYsQJHjhxBp06dcPnyZWzatAn/+te/Slw/Ly8PecUmY8vIyDBtpYmoejk4yMviR4+Wt92IjZVzFG3fDhw/LotWy5Yy6HTtKkuzZoZdWOnpQHy8vDpOW86elWOUADmQeuBA4Mkn5aOLS9l1u3cP2LABWLkS2LJFvx9A3snex0dOKzB0KNC7N1BW13lenqzbwYOyHD4sg5z2Ev/ij7y0nqhMtablRqPRYOjQoUhLSyu3BeaTTz7BzJkzIYRAYWEhpkyZgqVLl5a47ty5czFv3jyj5Wy5IarjUlNlsNi7V1699fffxuu4u8uQo1bLIFP89hfFubnJiROLD3C2spLji558UoaThg3l8sJCecPUlSuBmBg5WFurfXu57unTMuwUHztkbw/07y/fHzxYfzm9Nsz8+afhrNhl8fLSh502bYBOneRjRSZ/JKqj6mS31IsvvojNmzdj37598PPzK3W9PXv2YNSoUZg/fz46d+6MixcvYvr06Xj++efx9ttvG61fUsuNv78/ww2R0ty+LUPCgQPA/v3AH3+UHBb8/WUIKV78/eVYnyNHZMtQbKxs0SnukUdkN9imTfKztBo3BsaMkaVlS/3yvDw5B9CGDbJoJ10si7u7nEgyNFR2s9nbA2fOyHL6tHy8dq3kbW1tgZAQGXQ6d5alYcMHG3wthJzFu7BQlqIieSsSdrWRGdS5cBMZGYnY2Fjs3bsXgYGBZa7brVs3dOnSBYsXL9YtW7FiBSZPnoysrCxYlPOXjmNuiB4S+fmytebAAfmj/Mgjsnh4VGz7Cxf0QefAAXl3eK369eWA5rFjZYgoL0AIIeuiDTp//SUDQrt2hmGmtMvpi8vMBM6d089pFB8vQ1lJXe6enrJ+7drJcJKZKUtWlvHzrCygoEAfYgoLDY+5+LH36ydbofr1k11vRDWgzoQbIQReeuklxMTEYM+ePQgKCip3m5CQEPTt2xcLFy7ULfvxxx8xadIkZGZmwtLSssztGW6IqNJu35Z3dT99GujTB+jb98G6gG7fli0tDg6mqZ9GI7vlDh+WQefwYTkWqfgYoOrSpo0MOv37A926yduBEFWDOhNupk6dilWrViE2NtZgbhtnZ2fY/v+Jy8aNGwdfX19ERUUBkGNolixZgmXLlum6pV588UWEhIRgzZo15X4mww0RPRRyc2UL0ZEjsqXH1lZ2KTk4yMf7n9vby7FJlpYyuGlL8dcAcPQosG0bsHWrfF78J0StlgGnXz85F1L79hwHRCZTZ8KNqpTm1+joaEyYMAEA0LNnTwQEBGD58uUAgMLCQixYsAA//PADbty4gfr162PIkCFYsGABXMq7sgEMN0REJpOaCuzcqQ87168bvu/kBHTvrp/FOjiY43WoyupMuDEHhhsiomoghLyn2datcq6fuDh56X1xbm5Ajx4y6PTvz0kYqVIYbsrAcENEVAOKiuRgZ+2d4/fuNb6tRu/ewMsvA4MGVV+LzuHDwP/+J7vM+vaVwaoCrfxU+zDclIHhhojIDAoKgGPH9GFn1y4ZgAA52eKMGcC4cXLsz4MSQs5mvXChDFXFWVrKy+X79ZOlc2fegb6OYLgpA8MNEVEtkJAAfPYZsGyZvvvK1RV44QUgMhLw9a38PgsK5OzVixbJW2oAMriMGSMHTW/bZjzZo6OjnKyxXz85VYCNjWzlsbaWj9qifV2vHm/caiYMN2VguCEiqkWysoDoaOC//9XPIG1lJecRioyUEyM6OZUdKLKygG++AZYskaEJkFeCvfCCbBEqPjFsQoK8dcf27XIw9J07lauvo6MMQoMHy1t0eHtXbvvapqhIzpS9YQNw4oRsyXrySRn0almIY7gpA8MNEVEtVFQkb5D60UfGXUlWVnIwspubnMVZ++juLrf7/nvg7l25boMGwPTpwJQpsiWoLBqNHBe0fbu8pca1a3Jm6bw8OQmk9rm2+6wkjz4qg87gwUDHjjV/NZi2fpWZXygzUw78/vVXOeN2SQHP31/eKmToUNmyVdUbypoQw00ZGG6IiGq5Y8dkyFm/3vDeXWVp2hR47TU5bqesG5RWRVGRPuxcvCgndPztN3mLj+Lq15etOb17yy6y1FRZ7tzRP9eWtDQZxIKCjEuTJrILTEsIed+z8+flnEXFH69ckSHNw0PebkNbGjUyfJ6TA2zcKAPNnj3yeLRcXOSg7o4dZbDculXeFFbL0VEe19Ch8tFMN25luCkDww0RUR2SkyPDwN27ho/a55mZ8iqop56Sg4VrUkqKHLj8229yPE9Jt8CoCpVKhpKgIHl858/LMGRKQUHyjvVDhgBhYYaDqnNy5IBv7e1CkpP171laysv5n34aCA+v0dtvMNyUgeGGiIhMrqBA3rBV26Lj6KjvOiupODkBN2/Ke5jdX+6/ZB6QgScgQM4N1KKF4aONDZCYKMcTJSTI7jXt84QE+TkA8Nhj+kBT0TmGNBo5E/WGDfI+a9qB2lqhocCwYTJcNmnyQKewPAw3ZWC4ISKiWksI2SJ04YIcYG1vL0NM06byFhpVUVAgiynu+3Xpkuwu/Pln4OBBw/eCg2XQGTYMaN3a5AOSGW7KwHBDRERkAjdvyqDzyy9yHE/xgddBQXLslKOjyT6uMr/fvMkHERERVZ6PDzB1qrzSLCVFXtI/ZIgcDK29IauZ8HatRERE9GDc3YEJE2TJzDS+iWoNY8sNERERmY6jo5x80YwYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFHMGm6ioqLQsWNHODo6wtPTE+Hh4Th//ny526WlpSEiIgLe3t5Qq9Vo1qwZNm3aVAM1JiIiotrOypwfHhcXh4iICHTs2BGFhYX497//jf79++PMmTOwt7cvcZv8/Hz069cPnp6eWLduHXx9fXHt2jW4uLjUbOWJiIioVjJruNmyZYvB6+XLl8PT0xPHjh1D9+7dS9zm22+/xd27d3HgwAHUq1cPABAQEFDdVSUiIqI6olaNuUlPTwcAuLm5lbrOhg0bEBoaioiICDRo0ABt2rTBe++9h6KiopqqJhEREdViZm25KU6j0WDGjBkICwtDmzZtSl3v8uXL2LVrF8aOHYtNmzbh4sWLmDp1KgoKCjBnzhyj9fPy8pCXl6d7nZGRUS31JyIiotqh1oSbiIgInDp1Cvv27StzPY1GA09PTyxbtgyWlpYICQnBjRs3sHjx4hLDTVRUFObNm1dd1SYiIqJaplZ0S0VGRmLjxo3YvXs3/Pz8ylzX29sbzZo1g6WlpW5Zy5YtkZycjPz8fKP1Z82ahfT0dF1JTEw0ef2JiIio9jBruBFCIDIyEjExMdi1axcCAwPL3SYsLAwXL16ERqPRLfv777/h7e0Na2tro/XVajWcnJwMChERESmXWcNNREQEVqxYgVWrVsHR0RHJyclITk5GTk6Obp1x48Zh1qxZutcvvvgi7t69i+nTp+Pvv//Gb7/9hvfeew8RERHmOAQiIiKqZcw65mbp0qUAgJ49exosj46OxoQJEwAACQkJsLDQZzB/f39s3boVL7/8Mtq1awdfX19Mnz4db7zxRk1Vm4iIiGoxlRBCmLsSNSkjIwPOzs5IT09nFxUREVEdUZnf71oxoJiIiIjIVBhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIURhuiIiISFEYboiIiEhRGG6IiIhIUcwabqKiotCxY0c4OjrC09MT4eHhOH/+fIW3X716NVQqFcLDw6uvkkRERFSnmDXcxMXFISIiAocOHcL27dtRUFCA/v37Izs7u9xtr169ipkzZ6Jbt241UFMiIiKqK6zM+eFbtmwxeL18+XJ4enri2LFj6N69e6nbFRUVYezYsZg3bx5+//13pKWlVXNNiYiIqK6oVWNu0tPTAQBubm5lrvfOO+/A09MTkyZNqolqERERUR1i1pab4jQaDWbMmIGwsDC0adOm1PX27duHb775BvHx8RXab15eHvLy8nSvMzIyHrSqREREVIvVmpabiIgInDp1CqtXry51nczMTPzrX//C//73P3h4eFRov1FRUXB2dtYVf39/U1WZiIiIaiGVEEKYuxKRkZGIjY3F3r17ERgYWOp68fHxaN++PSwtLXXLNBoNAMDCwgLnz59HkyZNDLYpqeXG398f6enpcHJyMvGREBERUXXIyMiAs7NzhX6/zdotJYTASy+9hJiYGOzZs6fMYAMALVq0wMmTJw2W/ec//0FmZib++9//ltgqo1aroVarTVpvIiIiqr3MGm4iIiKwatUqxMbGwtHREcnJyQAAZ2dn2NraAgDGjRsHX19fREVFwcbGxmg8jouLCwCUOU6HiIiIHh5mDTdLly4FAPTs2dNgeXR0NCZMmAAASEhIgIVFrRkaRERERLVcrRhzU5Mq02dHREREtUNlfr/ZJEJERESKwnBDREREisJwQ0RERIrCcENERESKwnBDREREisJwQ0RERIrCcENERESKwnBDREREisJwQ0RERIrCcENERESKwnBDREREisJwQ0RERIrCcENERESKwnBDREREisJwQ0RERIrCcENERESKwnBDREREisJwQ0RERIrCcENERESKwnBDREREisJwQ0RERIrCcENERESKwnBDREREisJwQ0RERIrCcENERESKwnBDREREisJwQ0RERIrCcENERESKwnBDREREisJwQ0RERIrCcENERESKYtZwExUVhY4dO8LR0RGenp4IDw/H+fPny9zmf//7H7p16wZXV1e4urqib9++OHLkSA3VmIiIiGo7s4abuLg4RERE4NChQ9i+fTsKCgrQv39/ZGdnl7rNnj17MHr0aOzevRsHDx6Ev78/+vfvjxs3btRgzYmIiKi2UgkhhLkroXX79m14enoiLi4O3bt3r9A2RUVFcHV1xWeffYZx48aVu35GRgacnZ2Rnp4OJyenB60yERER1YDK/H7XqjE36enpAAA3N7cKb3Pv3j0UFBRUahsiIiJSLitzV0BLo9FgxowZCAsLQ5s2bSq83RtvvAEfHx/07du3xPfz8vKQl5ene52RkfHAdSUiIqLaq9a03ERERODUqVNYvXp1hbd5//33sXr1asTExMDGxqbEdaKiouDs7Kwr/v7+pqoyERER1UK1YsxNZGQkYmNjsXfvXgQGBlZomw8++ADz58/Hjh070KFDh1LXK6nlxt/fn2NuiIiI6pDKjLkxa7eUEAIvvfQSYmJisGfPngoHm0WLFmHBggXYunVrmcEGANRqNdRqtSmqS0RERHWAWcNNREQEVq1ahdjYWDg6OiI5ORkA4OzsDFtbWwDAuHHj4Ovri6ioKADAwoULMXv2bKxatQoBAQG6bRwcHODg4GCeAyEiIqJaw6xjbpYuXYr09HT07NkT3t7eurJmzRrdOgkJCUhKSjLYJj8/H8OHDzfY5oMPPjDHIRAREVEtY/ZuqfLs2bPH4PXVq1erpzJERESkCFVquUlMTMT169d1r48cOYIZM2Zg2bJlJqsYERERUVVUKdyMGTMGu3fvBgAkJyejX79+OHLkCN566y288847Jq0gERERUWVUKdycOnUKnTp1AgD89NNPaNOmDQ4cOICVK1di+fLlpqwfERERUaVUKdwUFBToLq/esWMHhg4dCgBo0aKFweBfIiIioppWpXDTunVrfPnll/j999+xfft2PP744wCAmzdvwt3d3aQVJCIiIqqMKoWbhQsX4quvvkLPnj0xevRoBAcHAwA2bNig664iIiIiMocq336hqKgIGRkZcHV11S27evUq7Ozs4OnpabIKmlplpm8mIiKi2qEyv99VarnJyclBXl6eLthcu3YNH3/8Mc6fP1+rgw0REREpX5XCzZNPPonvv/8eAJCWlobOnTvjww8/RHh4OJYuXWrSChIRERFVRpXCzZ9//olu3boBANatW4cGDRrg2rVr+P777/HJJ5+YtIJERERElVGlcHPv3j04OjoCALZt24Zhw4bBwsICXbp0wbVr10xaQSIiIqLKqFK4adq0KdavX4/ExERs3boV/fv3BwDcunWLg3SJiIjIrKoUbmbPno2ZM2ciICAAnTp1QmhoKADZitO+fXuTVpCIiIioMqp8KXhycjKSkpIQHBwMCwuZkY4cOQInJye0aNHCpJU0JV4KTkREVPdU5vfbqqof4uXlBS8vL93dwf38/DiBHxEREZldlbqlNBoN3nnnHTg7O6NRo0Zo1KgRXFxc8O6770Kj0Zi6jkREREQVVqWWm7feegvffPMN3n//fYSFhQEA9u3bh7lz5yI3NxcLFiwwaSWJiIiIKqpKY258fHzw5Zdf6u4GrhUbG4upU6fixo0bJqugqXHMDRERUd1T7bdfuHv3bomDhlu0aIG7d+9WZZdEREREJlGlcBMcHIzPPvvMaPlnn32Gdu3aPXCliIiIiKqqSmNuFi1ahMGDB2PHjh26OW4OHjyIxMREbNq0yaQVJCIiIqqMKrXc9OjRA3///TeeeuoppKWlIS0tDcOGDcPp06fxww8/mLqORERERBVW5Un8SnL8+HE8+uijKCoqMtUuTY4DiomIiOqeah9QTERERFRbMdwQERGRojDcEBERkaJU6mqpYcOGlfl+Wlrag9SFiIiI6IFVKtw4OzuX+/64ceMeqEJERERED6JS4SY6Orq66kFERERkEhxzQ0RERIrCcENERESKwnBDREREimLWcBMVFYWOHTvC0dERnp6eCA8Px/nz58vdbu3atWjRogVsbGzQtm1b3s+KiIiIdMwabuLi4hAREYFDhw5h+/btKCgoQP/+/ZGdnV3qNgcOHMDo0aMxadIk/PXXXwgPD0d4eDhOnTpVgzUnIiKi2sqk95Z6ULdv34anpyfi4uLQvXv3EtcZOXIksrOzsXHjRt2yLl264JFHHsGXX35Z7mfw3lJERER1T529t1R6ejoAwM3NrdR1Dh48iL59+xosGzBgAA4ePFji+nl5ecjIyDAoREREpFy1JtxoNBrMmDEDYWFhaNOmTanrJScno0GDBgbLGjRogOTk5BLXj4qKgrOzs674+/ubtN5ERERUu9SacBMREYFTp05h9erVJt3vrFmzkJ6eriuJiYkm3T8RERHVLpWaobi6REZGYuPGjdi7dy/8/PzKXNfLywspKSkGy1JSUuDl5VXi+mq1Gmq12mR1JSIiotrNrC03QghERkYiJiYGu3btQmBgYLnbhIaGYufOnQbLtm/fjtDQ0OqqJhEREdUhZm25iYiIwKpVqxAbGwtHR0fduBlnZ2fY2toCAMaNGwdfX19ERUUBAKZPn44ePXrgww8/xODBg7F69WocPXoUy5YtM9txEBERUe1h1pabpUuXIj09HT179oS3t7eurFmzRrdOQkICkpKSdK+7du2KVatWYdmyZQgODsa6deuwfv36MgchExER0cOjVs1zUxM4zw0REVHdU2fnuSEiIiJ6UAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKGYNN3v37sWQIUPg4+MDlUqF9evXl7vNypUrERwcDDs7O3h7e2PixIlITU2t/soSERFRnWDWcJOdnY3g4GB8/vnnFVp///79GDduHCZNmoTTp09j7dq1OHLkCJ5//vlqrikRERHVFVbm/PCBAwdi4MCBFV7/4MGDCAgIwLRp0wAAgYGBeOGFF7Bw4cLqqiIRERHVMXVqzE1oaCgSExOxadMmCCGQkpKCdevWYdCgQaVuk5eXh4yMDINCREREylWnwk1YWBhWrlyJkSNHwtraGl5eXnB2di6zWysqKgrOzs664u/vX4M1JiIioppWp8LNmTNnMH36dMyePRvHjh3Dli1bcPXqVUyZMqXUbWbNmoX09HRdSUxMrMEaExERUU0z65ibyoqKikJYWBhee+01AEC7du1gb2+Pbt26Yf78+fD29jbaRq1WQ61W13RViYiIyEzqVMvNvXv3YGFhWGVLS0sAgBDCHFUiIiKiWsas4SYrKwvx8fGIj48HAFy5cgXx8fFISEgAILuUxo0bp1t/yJAh+OWXX7B06VJcvnwZ+/fvx7Rp09CpUyf4+PiY4xCIiIioljFrt9TRo0fRq1cv3etXXnkFADB+/HgsX74cSUlJuqADABMmTEBmZiY+++wzvPrqq3BxcUHv3r15KTgRERHpqMRD1p+TkZEBZ2dnpKenw8nJydzVISIiogqozO93nRpzQ0RERFQehhsiIiJSFIYbIiIiUhSGGyIiIlIUhhsiIiJSFIYbIiIiUhSGGyIiIlIUhhsiIiJSFIYbIiIiUhSGGyIiIlIUhhsiIiJSFIYbIiIiUhSGGyIiIlIUhhsiIiJSFIYbIiIiUhSGGyIiIlIUhhsiIiJSFIYbIiIiUhSGGyIiIlIUhhsiIiJSFIYbIiIiUhSGGyIiIlIUhhsiIiJSFIYbIiIiUhSGGyIiIlIUhhsiIiJSFIYbIiIiUhSGGyIiIlIUhhsiIiJSFIYbIiIiUhSGGyIiIlIUs4abvXv3YsiQIfDx8YFKpcL69evL3SYvLw9vvfUWGjVqBLVajYCAAHz77bfVX1kiIiKqE6zM+eHZ2dkIDg7GxIkTMWzYsAptM2LECKSkpOCbb75B06ZNkZSUBI1GU801JSIiorrCrOFm4MCBGDhwYIXX37JlC+Li4nD58mW4ubkBAAICAqqpdkRERFQX1akxNxs2bECHDh2waNEi+Pr6olmzZpg5cyZycnJK3SYvLw8ZGRkGhYiIiJTLrC03lXX58mXs27cPNjY2iImJwZ07dzB16lSkpqYiOjq6xG2ioqIwb968Gq4pERERmUudarnRaDRQqVRYuXIlOnXqhEGDBmHJkiX47rvvSm29mTVrFtLT03UlMTGxhmtNRERENalOtdx4e3vD19cXzs7OumUtW7aEEALXr19HUFCQ0TZqtRpqtbomq0lERERmVKdabsLCwnDz5k1kZWXplv3999+wsLCAn5+fGWtGREREtYVZw01WVhbi4+MRHx8PALhy5Qri4+ORkJAAQHYpjRs3Trf+mDFj4O7ujmeffRZnzpzB3r178dprr2HixImwtbU1xyEQERFRLWPWcHP06FG0b98e7du3BwC88soraN++PWbPng0ASEpK0gUdAHBwcMD27duRlpaGDh06YOzYsRgyZAg++eQTs9SfiIiIah+VEEKYuxI1KSMjA87OzkhPT4eTk5O5q0NEREQVUJnf7zo15oaIiIioPAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERKQoDDcmdOQIkJNj7loQERE93KzMXQGlyMoCHnsMsLAAunUD+veXpW1buYyIiIhqBn92TeTKFcDTE8jLA3bsAF5/HXjkEcDbG/i//wO++w64edPctSQiIlI+lRBCmLsSNSkjIwPOzs5IT0+Hk5OTSfctBHDuHLBtG7B9O7BnD5CdbbhO69ZAr14y+LRrJ1/b2Zm0GkRERIpTmd9vhptqlJ8PHDyoDztHj8oAVJyFBRAUJIOOtgQHAw0bAipVtVaPiIiozmC4KUNNhpv7paYCO3cChw8DJ04Ax48Dt2+XvK6DA+DrK7u1fHzkY/HnPj6yODjU6CEQERGZBcNNGcwZbkqSnCyDTvFy5gxQUFCx7Rs3Bjp0kKVjR+DRR4FacFhEREQmxXBThtoWbkpSUCAHKN+8CSQlycfiz7WPWVklb9+8uT7wdOggX3t4sJuLiIjqLoabMtSFcFNRd+8Cf/0lx/L88Yd8vHat5HVtbAA/P8DfX5biz/39gUaNAGfnmq0/ERFRRTHclEFJ4aYkt28Dx47pw86xY8CNGxXb1tUVCAgAAgP1j9rnAQGAvX311ZuIiKgsDDdlUHq4KUl+vgw4iYmll9TU8vfj4aEfyHz/wGZtadAAqFev+o+JiIgeLpX5/eYMxQ8Ba2t9K0xpMjNll9aVK8DVq4aPV64A6enAnTuynDhR+n4sLGQXV1CQcQkIYPAhIqLqx5YbqpC0NCAhwXCA8/0lKQkoKip9H5aWMuAEBcnL3Bs0ALy89I/a505OHPxMRESG6kzLzd69e7F48WIcO3YMSUlJiImJQXh4eIW23b9/P3r06IE2bdogPj6+WutJgIuLLO3alb6ORiMvbb94EbhwwbBcvChvKnrpkixlsbGRQcfbW4YgPz/5eH+xsTHlERIRkVKYNdxkZ2cjODgYEydOxLBhwyq8XVpaGsaNG4c+ffogJSWlGmtIlWFhoR9707274XsajWzZuXBBhpukJCAlRYah5GT988xMIDdXdoldvVr257m7y5Yed3d9cXMr/bmbGwMREdHDwKzhZuDAgRg4cGClt5syZQrGjBkDS0tLrF+/3vQVI5OzsNC3uPTsWfp69+7JoKPt/rpxo+SSkyMHQVdkIHRxtrbyqjBt2NEWDw/ZZda4sRyb1KgRoFY/yBETEZG51LkBxdHR0bh8+TJWrFiB+fPnl7t+Xl4e8vLydK8zMjKqs3r0gOzsyh/8LATwzz8y5Ny6Jef70Qad1FTj16mpcn2NRoainJzy79CuUsnusMaN9YEnMFB2l9Wvry8cIE1EVPvUqXBz4cIFvPnmm/j9999hZVWxqkdFRWHevHnVXDOqSSqVvsWlojQa2eX1zz8y/NxfUlJkN9jly7Lcu6e/TD4urvT9urgYhp369fVjhXx89K1V9evL1isiIqp+dSbcFBUVYcyYMZg3bx6aNWtW4e1mzZqFV155Rfc6IyMD/v7+1VFFqsUsLOQMzM7OsvupLELIyRC1QefKFf3jrVvyvTt3ZGBKS5PlwoWy91mvnn5eIF9f2Q3m4CAnRrS3L/25ra1szSr+aGlpopNCRKRQteZScJVKVebVUmlpaXB1dYVlsX/ZNRoNhBCwtLTEtm3b0Lt373I/h5eCkyloNLIV6PZtfeDRPk9Kkl1m2jFDKSkyMJmKtbU+6Dg6yu6zRo30pWFD+ejvL9clIlKCOnMpeGU4OTnh5MmTBsu++OIL7Nq1C+vWrUNgWYM0iEzMwkJ/JVaLFmWvW1AgrwQrHnju3gWys2XJyjJ+rn3UjhHKzdXvLz9flrQ0GaT+/rvkz1WpZGtRo0aG8wiVVBwcTHZqiIjMzqzhJisrCxcvXtS9vnLlCuLj4+Hm5oaGDRti1qxZuHHjBr7//ntYWFigTZs2Btt7enrCxsbGaDlRbVKvnv4GpVWl0ciAc++eDDvax/R0ObnitWuGJSFBrq+dYLE8dnZy8kRbW3m5vK2tcbGxkcXauuzi6Ki/N5m3N8caEVHNM2u4OXr0KHr16qV7rR0bM378eCxfvhxJSUlISEgwV/WIag0LCxlA7Owqtr4QsotMG3S08wilpBgXbVi6d8/09ba2li1H2qvNit+M1dNTlooeExFRRdWaMTc1hWNuiPSEkF1gKSnyMTdX3xVWvEtM+zwvT98tVlr55x85+DoxsezbcWjZ2cmryTw99VeceXrKQde2trLlq3ixtjZ87u4uxxm5uvK2HURKpsgxN0RkeiqV7EZydDT9vgsLgevX9TdfLV4SEmTLUn6+bDHSdqc9CDs7GXIaNpRdgMUfbWz0V7b984/+efECAM2aAS1bynFULVvKK9sYmIjqHrbcEJFZCCHnHip+pVnx53fuyJaiggLjkp+vf7x1S5bq4OCgDzotWwJNm8rWJCsrfeuR9nnxZdpZsCs4HRcRVUBlfr8ZboiozsvJka1E2okXExL0jwkJMgS5uupvAFu8aJcXFADnzsly9qy82WtFutXK4uIiu808PPSP2uf29vIWHxUpNjbGy6ys2KpEDxd2SxHRQ8XWFggKksVU8vPlTV7PnpXl3DnZpZafL7vctK1I2ufax/x8eRUboO/yunTJdPXSUqlkyHFw0F/q7+1t+Kh97uEh19doZGDTaPRF+1oIeR61k0iy1YnqMn59iYhKYG2t746qrMJCObYnNVV2r2kfiz+/d092u1WmFG9JEkIO9s7Nlfs7dcp0xw7I1iIHB8Pi6CjnRSo+aaR24khbW9N+fkVlZ8vzbWEhZ++2sDAu9PBhuCEiMjErK/2VX6ZUWGgceDIy5NVuSUnycv/kZOPn2pYkQLbgFA8B2ueA7N4rLJTPiweniigeepyd9Vfaaa+2u/+5SqVvXSqptcnLS+4nOVnfzXh/t2Niojz+8lhYyDFQfn5ykLifn3Hx9a2egfVkHhxzQ0SkcNqWDZWq/HE6eXlyWoD7S2amLDdvGk4YefWqbD1RAg8PoG1bw9K6NWfwri04oLgMDDdERKYjhLydyP1h5/6Zre9/XlSkb10q3tqkfUxJkevY2eln+NZe3l+8+PnJLsT7xxIVH09UVCRboK5fl7c/uX5dX7Svi7duFadSAY0b68NO48bymAsL9aWoyPC1RiOvmittMLi22Nnpb5Jrb6+fqJMDxUvGcFMGhhsiotpPo5EhycGhZn7sMzOBCxeAEyeAkydlOXFChqyaVjz03D/uqaRiYyO7Qi0t5WNJz7W3Rrm/qNU1f3xVxauliIioTrOwqNkxMI6OwKOPylLc7duGYef6dX1oKK2oVPKqubIGh2vvFZedrb9XnJb2dii3b1f/cderpw86Tk5ybFJJUxdoH93c5HbFZyvXPi/+aG0NPP109de/NGy5ISIiMjONRh927i8ljYHKytK/l5Nj2DVW0vO8PP24qcxMwzBVHXx8ZJefKbHlhoiIqA6xsNB3M9WEwkLDgeJZWXLcUWqq8RQGxacyuHtX1tXaWnZplfZo6isFK4vhhoiI6CFjZaWfpVuJOL0RERERKQrDDRERESkKww0REREpCsMNERERKQrDDRERESkKww0REREpCsMNERERKQrDDRERESkKww0REREpCsMNERERKQrDDRERESkKww0REREpCsMNERERKQrDDRERESmKlbkrUNOEEACAjIwMM9eEiIiIKkr7u639HS/LQxduMjMzAQD+/v5mrgkRERFVVmZmJpydnctcRyUqEoEURKPR4ObNm3B0dIRKpTLpvjMyMuDv74/ExEQ4OTmZdN9kjOe7ZvF81yye75rF812zqnK+hRDIzMyEj48PLCzKHlXz0LXcWFhYwM/Pr1o/w8nJiX85ahDPd83i+a5ZPN81i+e7ZlX2fJfXYqPFAcVERESkKAw3REREpCgMNyakVqsxZ84cqNVqc1flocDzXbN4vmsWz3fN4vmuWdV9vh+6AcVERESkbGy5ISIiIkVhuCEiIiJFYbghIiIiRWG4ISIiIkVhuDGRzz//HAEBAbCxsUHnzp1x5MgRc1dJMfbu3YshQ4bAx8cHKpUK69evN3hfCIHZs2fD29sbtra26Nu3Ly5cuGCeytZxUVFR6NixIxwdHeHp6Ynw8HCcP3/eYJ3c3FxERETA3d0dDg4OePrpp5GSkmKmGtdtS5cuRbt27XQTmYWGhmLz5s2693muq9f7778PlUqFGTNm6JbxnJvO3LlzoVKpDEqLFi1071fnuWa4MYE1a9bglVdewZw5c/Dnn38iODgYAwYMwK1bt8xdNUXIzs5GcHAwPv/88xLfX7RoET755BN8+eWXOHz4MOzt7TFgwADk5ubWcE3rvri4OERERODQoUPYvn07CgoK0L9/f2RnZ+vWefnll/Hrr79i7dq1iIuLw82bNzFs2DAz1rru8vPzw/vvv49jx47h6NGj6N27N5588kmcPn0aAM91dfrjjz/w1VdfoV27dgbLec5Nq3Xr1khKStKVffv26d6r1nMt6IF16tRJRERE6F4XFRUJHx8fERUVZcZaKRMAERMTo3ut0WiEl5eXWLx4sW5ZWlqaUKvV4scffzRDDZXl1q1bAoCIi4sTQshzW69ePbF27VrdOmfPnhUAxMGDB81VTUVxdXUVX3/9Nc91NcrMzBRBQUFi+/btokePHmL69OlCCH6/TW3OnDkiODi4xPeq+1yz5eYB5efn49ixY+jbt69umYWFBfr27YuDBw+asWYPhytXriA5Odng/Ds7O6Nz5848/yaQnp4OAHBzcwMAHDt2DAUFBQbnu0WLFmjYsCHP9wMqKirC6tWrkZ2djdDQUJ7rahQREYHBgwcbnFuA3+/qcOHCBfj4+KBx48YYO3YsEhISAFT/uX7obpxpanfu3EFRUREaNGhgsLxBgwY4d+6cmWr18EhOTgaAEs+/9j2qGo1GgxkzZiAsLAxt2rQBIM+3tbU1XFxcDNbl+a66kydPIjQ0FLm5uXBwcEBMTAxatWqF+Ph4nutqsHr1avz555/4448/jN7j99u0OnfujOXLl6N58+ZISkrCvHnz0K1bN5w6darazzXDDRGVKCIiAqdOnTLoIyfTa968OeLj45Geno5169Zh/PjxiIuLM3e1FCkxMRHTp0/H9u3bYWNjY+7qKN7AgQN1z9u1a4fOnTujUaNG+Omnn2Bra1utn81uqQfk4eEBS0tLoxHeKSkp8PLyMlOtHh7ac8zzb1qRkZHYuHEjdu/eDT8/P91yLy8v5OfnIy0tzWB9nu+qs7a2RtOmTRESEoKoqCgEBwfjv//9L891NTh27Bhu3bqFRx99FFZWVrCyskJcXBw++eQTWFlZoUGDBjzn1cjFxQXNmjXDxYsXq/37zXDzgKytrRESEoKdO3fqlmk0GuzcuROhoaFmrNnDITAwEF5eXgbnPyMjA4cPH+b5rwIhBCIjIxETE4Ndu3YhMDDQ4P2QkBDUq1fP4HyfP38eCQkJPN8motFokJeXx3NdDfr06YOTJ08iPj5eVzp06ICxY8fqnvOcV5+srCxcunQJ3t7e1f/9fuAhySRWr14t1Gq1WL58uThz5oyYPHmycHFxEcnJyeaumiJkZmaKv/76S/z1118CgFiyZIn466+/xLVr14QQQrz//vvCxcVFxMbGihMnTognn3xSBAYGipycHDPXvO558cUXhbOzs9izZ49ISkrSlXv37unWmTJlimjYsKHYtWuXOHr0qAgNDRWhoaFmrHXd9eabb4q4uDhx5coVceLECfHmm28KlUoltm3bJoTgua4Jxa+WEoLn3JReffVVsWfPHnHlyhWxf/9+0bdvX+Hh4SFu3bolhKjec81wYyKffvqpaNiwobC2thadOnUShw4dMneVFGP37t0CgFEZP368EEJeDv7222+LBg0aCLVaLfr06SPOnz9v3krXUSWdZwAiOjpat05OTo6YOnWqcHV1FXZ2duKpp54SSUlJ5qt0HTZx4kTRqFEjYW1tLerXry/69OmjCzZC8FzXhPvDDc+56YwcOVJ4e3sLa2tr4evrK0aOHCkuXryoe786z7VKCCEevP2HiIiIqHbgmBsiIiJSFIYbIiIiUhSGGyIiIlIUhhsiIiJSFIYbIiIiUhSGGyIiIlIUhhsiIiJSFIYbIiIAKpUK69evN3c1iMgEGG6IyOwmTJgAlUplVB5//HFzV42I6iArc1eAiAgAHn/8cURHRxssU6vVZqoNEdVlbLkholpBrVbDy8vLoLi6ugKQXUZLly7FwIEDYWtri8aNG2PdunUG2588eRK9e/eGra0t3N3dMXnyZGRlZRms8+2336J169ZQq9Xw9vZGZGSkwft37tzBU089BTs7OwQFBWHDhg3Ve9BEVC0YboioTnj77bfx9NNP4/jx4xg7dixGjRqFs2fPAgCys7MxYMAAuLq64o8//sDatWuxY8cOg/CydOlSREREYPLkyTh58iQ2bNiApk2bGnzGvHnzMGLECJw4cQKDBg3C2LFjcffu3Ro9TiIyAZPcfpOI6AGMHz9eWFpaCnt7e4OyYMECIYS8W/mUKVMMtuncubN48cUXhRBCLFu2TLi6uoqsrCzd+7/99puwsLAQycnJQgghfHx8xFtvvVVqHQCI//znP7rXWVlZAoDYvHmzyY6TiGoGx9wQUa3Qq1cvLF261GCZm5ub7nloaKjBe6GhoYiPjwcAnD17FsHBwbC3t9e9HxYWBo1Gg/Pnz0OlUuHmzZvo06dPmXVo166d7rm9vT2cnJxw69atqh4SEZkJww0R1Qr29vZG3USmYmtrW6H16tWrZ/BapVJBo9FUR5WIqBpxzA0R1QmHDh0yet2yZUsAQMuWLXH8+HFkZ2fr3t+/fz8sLCzQvHlzODo6IiAgADt37qzROhORebDlhohqhby8PCQnJxsss7KygoeHBwBg7dq16NChAx577DGsXLkSR44cwTfffAMAGDt2LObMmYPx48dj7ty5uH37Nl566SX861//QoMGDQAAc+fOxZQpU+Dp6YmBAwciMzMT+/fvx0svvVSzB0pE1Y7hhohqhS1btsDb29tgWfPmzXHu3DkA8kqm1atXY+rUqfD29saPP/6IVq1aAQDs7OywdetWTJ8+HR07doSdnR2efvppLFmyRLev8ePHIzc3Fx999BFmzpwJDw8PDB8+vOYOkIhqjEoIIcxdCSKisqhUKsTExCA8PNzcVSGiOoBjboiIiEhRGG6IiIhIUTjmhohqPfaeE1FlsOWGiIiIFIXhhoiIiBSF4YaIiIgUheGGiIiIFIXhhoiIiBSF4YaIiIgUheGGiIiIFIXhhoiIiBSF4YaIiIgU5f8B9Y9TM/1LJuYAAAAASUVORK5CYII=",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Create a figure and axis object\n",
|
|
"fig, ax = plt.subplots(1, 1)\n",
|
|
"\n",
|
|
"# Plot the data\n",
|
|
"ax.plot(history.history['loss'], 'blue')\n",
|
|
"ax.plot(history.history['val_loss'], 'red')\n",
|
|
"\n",
|
|
"# Customize the plot\n",
|
|
"ax.set_title('Model Test Loss (blue) vs Val Loss (red)')\n",
|
|
"ax.set_xlabel('Epoch')\n",
|
|
"ax.set_ylabel('Loss')\n",
|
|
"\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 162,
|
|
"id": "d08d10b3-a984-4dec-b1af-e29a9e937626",
|
|
"metadata": {
|
|
"jupyter": {
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Extract weights from the LSTM layer\n",
|
|
"lstm_layer = model_4f.layers[0]\n",
|
|
"lstm_weights = lstm_layer.get_weights()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 251,
|
|
"id": "1f7cdb81-3ea1-467d-8492-fbdc469a4039",
|
|
"metadata": {
|
|
"jupyter": {
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Kernel shape: (4, 8)\n",
|
|
"Recurrent Kernel shape: (2, 8)\n",
|
|
"Bias shape: (8,)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"kernel, recurrent_kernel, bias = lstm_weights\n",
|
|
"\n",
|
|
"# Print the shapes\n",
|
|
"print(f\"Kernel shape: {kernel.shape}\")\n",
|
|
"print(f\"Recurrent Kernel shape: {recurrent_kernel.shape}\")\n",
|
|
"print(f\"Bias shape: {bias.shape}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 164,
|
|
"id": "5be4cb34-6a95-426f-b08f-1c26fcfdaa90",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Kernel weights: [[-0.29570043 -0.5004754 0.20667636 0.10042548 0.53247315 0.3485367\n",
|
|
" 0.06583369 0.30498368]\n",
|
|
" [-0.0952394 0.6267162 -0.5430347 -0.11614949 -0.14094801 0.45296112\n",
|
|
" 0.46237165 -0.5539824 ]\n",
|
|
" [-0.6704555 -0.32267913 -0.02672264 -0.01044066 -0.55034953 -0.5247029\n",
|
|
" -0.39970452 -0.2879326 ]\n",
|
|
" [-0.4440828 -0.69091105 0.5708396 -0.62216336 0.01680009 0.60691565\n",
|
|
" 0.504008 -0.2612597 ]]\n",
|
|
"Recurrent kernel weights: [[-0.48168886 0.55765843 -0.29909894 -0.32422814 -0.07709108 0.16607761\n",
|
|
" -0.40783387 -0.2501138 ]\n",
|
|
" [-0.4924853 -0.33605534 0.23202763 0.33475357 -0.5284006 0.42610377\n",
|
|
" 0.03789801 -0.12824975]]\n",
|
|
"Bias weights: [-1.3965615e-05 -1.7603061e-06 9.9997938e-01 9.9999720e-01\n",
|
|
" -1.3367771e-03 -2.4126284e-05 -1.4065922e-05 -1.7748447e-06]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Print the weights\n",
|
|
"print(\"Kernel weights:\", kernel)\n",
|
|
"print(\"Recurrent kernel weights:\", recurrent_kernel)\n",
|
|
"print(\"Bias weights:\", bias)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "0e45e12e-f729-4aa6-b55f-b5b19767f9cf",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "e2a8bd8b-09d5-4599-8b78-d063c36cacfc",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b02d6254-744a-49b0-8e37-362dd8ac2b3a",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"id": "326bc277-6354-44d9-84b3-48d2031af9a4",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"sample_size: 4311\n",
|
|
"cnt_thrown_idx = 0\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Validation Set - Helper\n",
|
|
"\n",
|
|
"# Reset Index\n",
|
|
"sample_valid = sample_valid.reset_index(drop = True)\n",
|
|
"sample_size = sample_valid.shape[0]\n",
|
|
"print ('sample_size: ', sample_size)\n",
|
|
"# sample_valid.head()\n",
|
|
"# sl = 8 # <--- sequence length\n",
|
|
"batch_valid = 2 # <--- batch size\n",
|
|
"# n_features = 8 # <---- no. of variables\n",
|
|
"# n_out = 1 # <----- no. of predicted variables\n",
|
|
"# frwd = 1 # <--- how many to predict\n",
|
|
"\n",
|
|
"# Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"sample_valid['Selected'] = 0\n",
|
|
"\n",
|
|
"\n",
|
|
"# Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"sample_valid.loc[:, 'Selected'] = 0\n",
|
|
"\n",
|
|
"# Selecting m random rows without replacement\n",
|
|
"np.random.seed(125)\n",
|
|
"selected_indices = np.random.choice(sample_valid.index, size = batch_valid, replace = False)\n",
|
|
"\n",
|
|
"sample_valid.loc[selected_indices, 'Selected'] = 1 \n",
|
|
"\n",
|
|
"chosen_idx = sample_valid[sample_valid['Selected'] == 1].index\n",
|
|
"\n",
|
|
"cnt_thrown_idx1 = 0\n",
|
|
"cnt_thrown_idx2 = 0\n",
|
|
"\n",
|
|
"for idx in chosen_idx: \n",
|
|
" if (idx-(sl-1) < 0):\n",
|
|
" # print ('scratch index on a left: ', idx)\n",
|
|
" cnt_thrown_idx1 = cnt_thrown_idx1 + 1\n",
|
|
" # print ('cnt_thrown_idx1: ', cnt_thrown_idx1)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"for idx in chosen_idx:\n",
|
|
" if (idx+(frwd+1) > sample_size):\n",
|
|
" # print ('scratch index on a right: ', idx)\n",
|
|
" cnt_thrown_idx2 = cnt_thrown_idx2 + 1\n",
|
|
" # print ('cnt_thrown_idx2: ', cnt_thrown_idx2)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"cnt_thrown_idx = cnt_thrown_idx1 + cnt_thrown_idx2\n",
|
|
"\n",
|
|
"print ('cnt_thrown_idx = ', cnt_thrown_idx)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "a9b55814-7b37-4d11-bece-934a89caf6e3",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"id": "a451868c-e7a3-4e09-8fa4-0f4ae45f743f",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"sample_size: 4311\n",
|
|
"cnt_thrown_idx = 0\n",
|
|
"Selected Indices: \n",
|
|
"[3504 1313]\n",
|
|
"================== trend lines ===================\n",
|
|
"coef_xrp: [3.38763286e-06 5.67421292e-01]\n",
|
|
"0.5678684594031922\n",
|
|
"0.5678718470360494\n",
|
|
"0.5678752346689068\n",
|
|
"0.567878622301764\n",
|
|
"0.5678820099346213\n",
|
|
"0.5678853975674786\n",
|
|
"0.5678887852003359\n",
|
|
"0.5678921728331933\n",
|
|
"0.5678955604660505\n",
|
|
"0.5678989480989078\n",
|
|
"coef_eth: [5.39484642e-06 3.14105872e-01]\n",
|
|
"0.3148179921350914\n",
|
|
"0.3148233869815065\n",
|
|
"0.3148287818279217\n",
|
|
"0.3148341766743368\n",
|
|
"0.3148395715207519\n",
|
|
"0.3148449663671671\n",
|
|
"0.31485036121358223\n",
|
|
"0.3148557560599973\n",
|
|
"0.3148611509064125\n",
|
|
"0.31486654575282763\n",
|
|
"coef_ltc: [-8.92759310e-06 6.79898394e-01]\n",
|
|
"0.6787199514226231\n",
|
|
"0.6787110238295252\n",
|
|
"0.6787020962364273\n",
|
|
"0.6786931686433293\n",
|
|
"0.6786842410502314\n",
|
|
"0.6786753134571334\n",
|
|
"0.6786663858640355\n",
|
|
"0.6786574582709375\n",
|
|
"0.6786485306778396\n",
|
|
"0.6786396030847417\n",
|
|
"coef_btc: [2.40335888e-05 6.40259123e-01]\n",
|
|
"y_btc_trend: [0.00105077 0.00110492 0.00104107 0.00091483 0.00102298 0.02045414\n",
|
|
" 0.02040909 0.02025643 0.02099478 0.02067653]\n",
|
|
"f: 0\n",
|
|
"132\n",
|
|
"0.643431556384455\n",
|
|
"f: 1\n",
|
|
"133\n",
|
|
"0.6434555899732849\n",
|
|
"f: 2\n",
|
|
"134\n",
|
|
"0.6434796235621147\n",
|
|
"f: 3\n",
|
|
"135\n",
|
|
"0.6435036571509445\n",
|
|
"f: 4\n",
|
|
"136\n",
|
|
"0.6435276907397743\n",
|
|
"f: 5\n",
|
|
"137\n",
|
|
"0.6435517243286042\n",
|
|
"f: 6\n",
|
|
"138\n",
|
|
"0.6435757579174339\n",
|
|
"f: 7\n",
|
|
"139\n",
|
|
"0.6435997915062638\n",
|
|
"f: 8\n",
|
|
"140\n",
|
|
"0.6436238250950935\n",
|
|
"f: 9\n",
|
|
"141\n",
|
|
"0.6436478586839234\n",
|
|
"coef_xrp: [-4.85982479e-05 5.27183185e-01]\n",
|
|
"0.520768216516308\n",
|
|
"0.5207196182684329\n",
|
|
"0.5206710200205579\n",
|
|
"0.5206224217726828\n",
|
|
"0.5205738235248077\n",
|
|
"0.5205252252769327\n",
|
|
"0.5204766270290576\n",
|
|
"0.5204280287811826\n",
|
|
"0.5203794305333075\n",
|
|
"0.5203308322854324\n",
|
|
"coef_eth: [-1.24579365e-04 2.83256570e-01]\n",
|
|
"0.26681209345362017\n",
|
|
"0.2666875140888307\n",
|
|
"0.2665629347240412\n",
|
|
"0.2664383553592517\n",
|
|
"0.2663137759944622\n",
|
|
"0.2661891966296727\n",
|
|
"0.26606461726488323\n",
|
|
"0.26594003790009374\n",
|
|
"0.26581545853530425\n",
|
|
"0.26569087917051476\n",
|
|
"coef_ltc: [-1.25627566e-04 6.28428606e-01]\n",
|
|
"0.6118457668285913\n",
|
|
"0.6117201392621039\n",
|
|
"0.6115945116956166\n",
|
|
"0.6114688841291293\n",
|
|
"0.6113432565626419\n",
|
|
"0.6112176289961545\n",
|
|
"0.6110920014296671\n",
|
|
"0.6109663738631799\n",
|
|
"0.6108407462966925\n",
|
|
"0.6107151187302051\n",
|
|
"coef_btc: [-7.04878030e-05 5.88426122e-01]\n",
|
|
"y_btc_trend: [3.20495444e-319 0.00000000e+000 0.00000000e+000 0.00000000e+000\n",
|
|
" 0.00000000e+000 2.42092166e-322 1.30863262e-315 1.46796121e-315\n",
|
|
" 5.67402778e+000 4.55211111e+000]\n",
|
|
"f: 0\n",
|
|
"132\n",
|
|
"0.5791217323155217\n",
|
|
"f: 1\n",
|
|
"133\n",
|
|
"0.5790512445125653\n",
|
|
"f: 2\n",
|
|
"134\n",
|
|
"0.5789807567096089\n",
|
|
"f: 3\n",
|
|
"135\n",
|
|
"0.5789102689066525\n",
|
|
"f: 4\n",
|
|
"136\n",
|
|
"0.578839781103696\n",
|
|
"f: 5\n",
|
|
"137\n",
|
|
"0.5787692933007397\n",
|
|
"f: 6\n",
|
|
"138\n",
|
|
"0.5786988054977833\n",
|
|
"f: 7\n",
|
|
"139\n",
|
|
"0.5786283176948269\n",
|
|
"f: 8\n",
|
|
"140\n",
|
|
"0.5785578298918705\n",
|
|
"f: 9\n",
|
|
"141\n",
|
|
"0.5784873420889142\n",
|
|
"YYYY ====== Actual Input ====== YYYY\n",
|
|
"[[[0.5717 0.314266 0.6812 0.6410766]\n",
|
|
" [0.5696 0.314188 0.6801 0.6418245]\n",
|
|
" [0.5703 0.313904 0.6798 0.6416859]\n",
|
|
" [0.5699 0.313835 0.6798 0.6416053]\n",
|
|
" [0.5685 0.313574 0.6793 0.6405873]\n",
|
|
" [0.5683 0.31348 0.6792 0.6405158]\n",
|
|
" [0.5674 0.313357 0.679 0.6403638]\n",
|
|
" [0.5678 0.313717 0.6788 0.6405586]\n",
|
|
" [0.5662 0.313536 0.6769 0.6401561]\n",
|
|
" [0.5675 0.313645 0.6765 0.6405062]]\n",
|
|
"\n",
|
|
" [[0.5239 0.269211 0.6214 0.5833584]\n",
|
|
" [0.5237 0.269488 0.6139 0.5785911]\n",
|
|
" [0.5252 0.269548 0.6223 0.58393 ]\n",
|
|
" [0.5247 0.26937 0.6224 0.5829859]\n",
|
|
" [0.5265 0.269974 0.6242 0.5844 ]\n",
|
|
" [0.5261 0.270446 0.6248 0.5843815]\n",
|
|
" [0.5258 0.27022 0.624 0.5843712]\n",
|
|
" [0.525 0.270055 0.6235 0.5840747]\n",
|
|
" [0.5252 0.269815 0.6245 0.5839183]\n",
|
|
" [0.5249 0.270052 0.6231 0.583842 ]]]\n",
|
|
"(2, 10, 4)\n",
|
|
"YYYY ====== Trend Input ======= YYYY\n",
|
|
"[[[0.56786846 0.31481799 0.67871995 0.64343156]\n",
|
|
" [0.56787185 0.31482339 0.67871102 0.64345559]\n",
|
|
" [0.56787523 0.31482878 0.6787021 0.64347962]\n",
|
|
" [0.56787862 0.31483418 0.67869317 0.64350366]\n",
|
|
" [0.56788201 0.31483957 0.67868424 0.64352769]\n",
|
|
" [0.5678854 0.31484497 0.67867531 0.64355172]\n",
|
|
" [0.56788879 0.31485036 0.67866639 0.64357576]\n",
|
|
" [0.56789217 0.31485576 0.67865746 0.64359979]\n",
|
|
" [0.56789556 0.31486115 0.67864853 0.64362383]\n",
|
|
" [0.56789895 0.31486655 0.6786396 0.64364786]]\n",
|
|
"\n",
|
|
" [[0.52076822 0.26681209 0.61184577 0.57912173]\n",
|
|
" [0.52071962 0.26668751 0.61172014 0.57905124]\n",
|
|
" [0.52067102 0.26656293 0.61159451 0.57898076]\n",
|
|
" [0.52062242 0.26643836 0.61146888 0.57891027]\n",
|
|
" [0.52057382 0.26631378 0.61134326 0.57883978]\n",
|
|
" [0.52052523 0.2661892 0.61121763 0.57876929]\n",
|
|
" [0.52047663 0.26606462 0.611092 0.57869881]\n",
|
|
" [0.52042803 0.26594004 0.61096637 0.57862832]\n",
|
|
" [0.52037943 0.26581546 0.61084075 0.57855783]\n",
|
|
" [0.52033083 0.26569088 0.61071512 0.57848734]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"YYYY ====== De-Trend Input ======= YYYY\n",
|
|
"[[[ 3.83154060e-03 -5.51992135e-04 2.48004858e-03 -2.35495638e-03]\n",
|
|
" [ 1.72815296e-03 -6.35386982e-04 1.38897617e-03 -1.63108997e-03]\n",
|
|
" [ 2.42476533e-03 -9.24781828e-04 1.09790376e-03 -1.79372356e-03]\n",
|
|
" [ 2.02137770e-03 -9.99176674e-04 1.10683136e-03 -1.89835715e-03]\n",
|
|
" [ 6.17990065e-04 -1.26557152e-03 6.15758950e-04 -2.94039074e-03]\n",
|
|
" [ 4.14602433e-04 -1.36496637e-03 5.24686543e-04 -3.03592433e-03]\n",
|
|
" [-4.88785200e-04 -1.49336121e-03 3.33614136e-04 -3.21195792e-03]\n",
|
|
" [-9.21728332e-05 -1.13875606e-03 1.42541729e-04 -3.04119151e-03]\n",
|
|
" [-1.69556047e-03 -1.32515091e-03 -1.74853068e-03 -3.46772510e-03]\n",
|
|
" [-3.98948099e-04 -1.22154575e-03 -2.13960308e-03 -3.14165868e-03]]\n",
|
|
"\n",
|
|
" [[ 3.13178348e-03 2.39890655e-03 9.55423317e-03 4.23666768e-03]\n",
|
|
" [ 2.98038173e-03 2.80048591e-03 2.17986074e-03 -4.60144513e-04]\n",
|
|
" [ 4.52897998e-03 2.98506528e-03 1.07054883e-02 4.94924329e-03]\n",
|
|
" [ 4.07757823e-03 2.93164464e-03 1.09311159e-02 4.07563109e-03]\n",
|
|
" [ 5.92617648e-03 3.66022401e-03 1.28567434e-02 5.56021890e-03]\n",
|
|
" [ 5.57477472e-03 4.25680337e-03 1.35823710e-02 5.61220670e-03]\n",
|
|
" [ 5.32337297e-03 4.15538274e-03 1.29079986e-02 5.67239450e-03]\n",
|
|
" [ 4.57197122e-03 4.11496210e-03 1.25336261e-02 5.44638231e-03]\n",
|
|
" [ 4.82056947e-03 3.99954146e-03 1.36592537e-02 5.36047011e-03]\n",
|
|
" [ 4.56916771e-03 4.36112083e-03 1.23848813e-02 5.35465791e-03]]]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# De-Trend Model\n",
|
|
"# variables are close and volume\n",
|
|
"\n",
|
|
"# Validation Set - 07.21.2024\n",
|
|
"# ============================\n",
|
|
"# Reset Index\n",
|
|
"sample_valid = sample_valid.reset_index(drop = True)\n",
|
|
"sample_size = sample_valid.shape[0]\n",
|
|
"print ('sample_size: ', sample_size)\n",
|
|
"# sample_valid.head()\n",
|
|
"# sl = 8 # <--- sequence length\n",
|
|
"batch_valid = 2 # <--- batch size\n",
|
|
"# n_features = 8 # <---- no. of variables\n",
|
|
"# n_out = 1 # <----- no. of predicted variables\n",
|
|
"# frwd = 1 # <--- how many to predict\n",
|
|
"\n",
|
|
"## Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"sample_valid.loc[:, 'Selected'] = 0\n",
|
|
"\n",
|
|
"# Selecting m random rows without replacement\n",
|
|
"np.random.seed(125)\n",
|
|
"selected_indices = np.random.choice(sample_valid.index, size = batch_valid, replace = False)\n",
|
|
"\n",
|
|
"sample_valid.loc[selected_indices, 'Selected'] = 1 \n",
|
|
"\n",
|
|
"chosen_idx = sample_valid[sample_valid['Selected'] == 1].index\n",
|
|
"\n",
|
|
"cnt_thrown_idx1 = 0\n",
|
|
"cnt_thrown_idx2 = 0\n",
|
|
"\n",
|
|
"for idx in chosen_idx: \n",
|
|
" if (idx-(sl-1) < 0):\n",
|
|
" # print ('scratch index on a left: ', idx)\n",
|
|
" cnt_thrown_idx1 = cnt_thrown_idx1 + 1\n",
|
|
" # print ('cnt_thrown_idx1: ', cnt_thrown_idx1)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"for idx in chosen_idx:\n",
|
|
" if (idx+(frwd+1) > sample_size):\n",
|
|
" # print ('scratch index on a right: ', idx)\n",
|
|
" cnt_thrown_idx2 = cnt_thrown_idx2 + 1\n",
|
|
" # print ('cnt_thrown_idx2: ', cnt_thrown_idx2)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"cnt_thrown_idx = cnt_thrown_idx1 + cnt_thrown_idx2\n",
|
|
"\n",
|
|
"print ('cnt_thrown_idx = ', cnt_thrown_idx)\n",
|
|
"\n",
|
|
"print ('Selected Indices: ')\n",
|
|
"print (selected_indices)\n",
|
|
"# print ('=============================================')\n",
|
|
"\n",
|
|
"all_ts_close_xrp = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_eth = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_ltc = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"aft_ts_close_xrp = np.empty((1))\n",
|
|
"aft_ts_close_eth = np.empty((1))\n",
|
|
"aft_ts_close_ltc = np.empty((1))\n",
|
|
"aft_ts_close_btc = np.empty((1))\n",
|
|
"\n",
|
|
"# print (all_ts_close_btc)\n",
|
|
"# print (aft_ts_close_btc)\n",
|
|
"\n",
|
|
"for idx in chosen_idx:\n",
|
|
" selected_rows_before = sample_valid.iloc[max(0, idx-sl): idx]\n",
|
|
" selected_rows_after = sample_valid.iloc[max(0, idx): idx+frwd]\n",
|
|
" # print ('idx: ', idx)\n",
|
|
"\n",
|
|
" # xrp\n",
|
|
" sr_before_close_xrp = np.array(selected_rows_before['close_xrp'])\n",
|
|
" sr_after_close_xrp = np.array(selected_rows_after['close_xrp']) \n",
|
|
" # print (sr_before_close_xrp)\n",
|
|
" sr_before_volume_xrp = np.array(selected_rows_before['volume_xrp'])\n",
|
|
" sr_after_volume_xrp = np.array(selected_rows_after['volume_xrp']) \n",
|
|
" # print (sr_before_volume_xrp) \n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_xrp = np.average(sr_after_close_xrp, weights = sr_after_volume_xrp)\n",
|
|
" # print ('XRP w.average: ', weighted_avg_xrp)\n",
|
|
"\n",
|
|
"# eth\n",
|
|
" sr_before_close_eth = np.array(selected_rows_before['close_eth'])\n",
|
|
" sr_after_close_eth = np.array(selected_rows_after['close_eth'])\n",
|
|
" sr_before_volume_eth = np.array(selected_rows_before['volume_eth'])\n",
|
|
" sr_after_volume_eth = np.array(selected_rows_after['volume_eth'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_eth = np.average(sr_after_close_eth, weights = sr_after_volume_eth)\n",
|
|
" # print ('ETH w.average: ', weighted_avg_eth)\n",
|
|
" \n",
|
|
"# ltc\n",
|
|
" sr_before_close_ltc = np.array(selected_rows_before['close_ltc'])\n",
|
|
" sr_after_close_ltc = np.array(selected_rows_after['close_ltc'])\n",
|
|
" sr_before_volume_ltc = np.array(selected_rows_before['volume_ltc'])\n",
|
|
" sr_after_volume_ltc = np.array(selected_rows_after['volume_ltc'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_ltc = np.average(sr_after_close_ltc, weights = sr_after_volume_ltc)\n",
|
|
" # print ('LTC w.average: ', weighted_avg_ltc)\n",
|
|
"\n",
|
|
"# btc\n",
|
|
" sr_before_close_btc = np.array(selected_rows_before['close_btc'])\n",
|
|
" sr_after_close_btc = np.array(selected_rows_after['close_btc'])\n",
|
|
" sr_before_volume_btc = np.array(selected_rows_before['volume_btc'])\n",
|
|
" sr_after_volume_btc = np.array(selected_rows_after['volume_btc'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_btc = np.average(sr_after_close_btc, weights = sr_after_volume_btc)\n",
|
|
" # print ('BTC w.average: ', weighted_avg_btc)\n",
|
|
"\n",
|
|
"# xrp\n",
|
|
" all_ts_close_xrp = np.concatenate((all_ts_close_xrp, sr_before_close_xrp))\n",
|
|
" all_ts_volume_xrp = np.concatenate((all_ts_volume_xrp, sr_before_volume_xrp))\n",
|
|
"# eth\n",
|
|
" all_ts_close_eth = np.concatenate((all_ts_close_eth, sr_before_close_eth))\n",
|
|
" all_ts_volume_eth = np.concatenate((all_ts_volume_eth, sr_before_volume_eth))\n",
|
|
"# ltc\n",
|
|
" all_ts_close_ltc = np.concatenate((all_ts_close_ltc, sr_before_close_ltc))\n",
|
|
" all_ts_volume_ltc = np.concatenate((all_ts_volume_ltc, sr_before_volume_ltc))\n",
|
|
"# btc\n",
|
|
" all_ts_close_btc = np.concatenate((all_ts_close_btc, sr_before_close_btc))\n",
|
|
" all_ts_volume_btc = np.concatenate((all_ts_volume_btc, sr_before_volume_btc))\n",
|
|
"\n",
|
|
" aft_ts_close_xrp = np.concatenate((aft_ts_close_xrp, sr_after_close_xrp))\n",
|
|
" aft_ts_close_eth = np.concatenate((aft_ts_close_eth, sr_after_close_eth))\n",
|
|
" aft_ts_close_ltc = np.concatenate((aft_ts_close_ltc, sr_after_close_ltc))\n",
|
|
" aft_ts_close_btc = np.concatenate((aft_ts_close_btc, sr_after_close_btc))\n",
|
|
"\n",
|
|
"X_XRP_close = all_ts_close_xrp[1:]\n",
|
|
"X_XRP_volume = all_ts_volume_xrp[1:]\n",
|
|
"\n",
|
|
"X_ETH_close = all_ts_close_eth[1:]\n",
|
|
"X_ETH_volume = all_ts_volume_eth[1:]\n",
|
|
"\n",
|
|
"X_LTC_close = all_ts_close_ltc[1:]\n",
|
|
"X_LTC_volume = all_ts_volume_ltc[1:]\n",
|
|
"\n",
|
|
"X_BTC_close = all_ts_close_btc[1:]\n",
|
|
"X_BTC_volume = all_ts_volume_btc[1:]\n",
|
|
"\n",
|
|
"# X0 = np.column_stack((X_XRP_close, X_XRP_volume, \n",
|
|
"# X_ETH_close, X_ETH_volume, \n",
|
|
"# X_LTC_close, X_LTC_volume, \n",
|
|
"# X_BTC_close, X_BTC_volume))\n",
|
|
"\n",
|
|
"X0_valid = np.column_stack((X_XRP_close,\n",
|
|
" X_ETH_close,\n",
|
|
" X_LTC_close,\n",
|
|
" X_BTC_close))\n",
|
|
"# print (X0)\n",
|
|
"\n",
|
|
"# ======== Model Input =========\n",
|
|
"X_valid = X0_valid.reshape(batch_valid-cnt_thrown_idx, sl, n_features)\n",
|
|
"# print ('================ original series =================') \n",
|
|
"# print ('XXXX ====== Actual Input ====== XXXX')\n",
|
|
"# print (X)\n",
|
|
"# print (X.shape)\n",
|
|
"\n",
|
|
"print ('================== trend lines ===================') \n",
|
|
"\n",
|
|
"y_XRP = aft_ts_close_xrp[1:]\n",
|
|
"y_ETH = aft_ts_close_eth[1:]\n",
|
|
"y_LTC = aft_ts_close_ltc[1:]\n",
|
|
"y_BTC = aft_ts_close_btc[1:]\n",
|
|
"# print ('y_BTC: ', y_BTC)\n",
|
|
"\n",
|
|
"y_valid = np.column_stack((y_XRP, y_ETH, y_LTC, y_BTC))\n",
|
|
"# print (y)\n",
|
|
"\n",
|
|
"y_valid = y_valid.reshape(batch_valid-cnt_thrown_idx, frwd, n_out)\n",
|
|
"# print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"# print (y)\n",
|
|
"# print (y.shape)\n",
|
|
"\n",
|
|
"def detrend_series(series):\n",
|
|
" trend = np.polyfit(np.arange(len(series)), series.values, 1)\n",
|
|
" trend_line = np.polyval(trend, np.arange(len(series)))\n",
|
|
" detrended_series = series - trend_line\n",
|
|
" return detrended_series\n",
|
|
"\n",
|
|
"crypto_list = ['XRP', 'ETH', 'LTC', 'BTC']\n",
|
|
"\n",
|
|
"X_valid_trend = np.zeros((batch_valid-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print ('X_trend')\n",
|
|
"# print (X_trend)\n",
|
|
"\n",
|
|
"X_valid_detrend = np.zeros((batch_valid-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print ('X_detrend')\n",
|
|
"# print (X_detrend)\n",
|
|
"\n",
|
|
"y_valid_trend = np.zeros((batch_valid-cnt_thrown_idx, frwd, n_out))\n",
|
|
"# print ('y_trend')\n",
|
|
"# print (y_trend)\n",
|
|
"\n",
|
|
"for j in range(batch_valid-cnt_thrown_idx):\n",
|
|
" # print (' ')\n",
|
|
" # print (' j = ', j)\n",
|
|
" df_trend = pd.DataFrame(X_valid[j], columns = crypto_list)\n",
|
|
" # print ('df_trend: ', df_trend)\n",
|
|
" \n",
|
|
"# XRP\n",
|
|
" coef_xrp = np.polyfit(np.arange(len(df_trend)), df_trend['XRP'], 1)\n",
|
|
" print (\"coef_xrp: \", coef_xrp) \n",
|
|
" trend_line_xrp = np.polyval(coef_xrp, np.arange(len(df_trend)))\n",
|
|
" detrended_series_xrp = df_trend['XRP'] - trend_line_xrp\n",
|
|
" detrend_xrp = detrended_series_xrp.to_numpy() \n",
|
|
"\n",
|
|
" y_xrp_trend = np.empty(frwd)\n",
|
|
" # print ('y_xrp_trend: ', y_xrp_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_xrp_trend[f] = coef_xrp[0]*(len(df_trend)+f) + coef_xrp[1] \n",
|
|
" print (y_xrp_trend[f])\n",
|
|
"\n",
|
|
" # ETH\n",
|
|
" coef_eth = np.polyfit(np.arange(len(df_trend)), df_trend['ETH'], 1)\n",
|
|
" print (\"coef_eth: \", coef_eth)\n",
|
|
" trend_line_eth = np.polyval(coef_eth, np.arange(len(df_trend)))\n",
|
|
" detrended_series_eth = df_trend['ETH'] - trend_line_eth\n",
|
|
" detrend_eth = detrended_series_eth.to_numpy()\n",
|
|
"\n",
|
|
" y_eth_trend = np.empty(frwd)\n",
|
|
" # print ('y_eth_trend: ', y_eth_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_eth_trend[f] = coef_eth[0]*(len(df_trend)+f) + coef_eth[1] \n",
|
|
" print (y_eth_trend[f])\n",
|
|
" \n",
|
|
"# LTC \n",
|
|
" coef_ltc = np.polyfit(np.arange(len(df_trend)), df_trend['LTC'], 1)\n",
|
|
" print (\"coef_ltc: \", coef_ltc)\n",
|
|
" trend_line_ltc = np.polyval(coef_ltc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_ltc = df_trend['LTC'] - trend_line_ltc\n",
|
|
" detrend_ltc = detrended_series_ltc.to_numpy()\n",
|
|
"\n",
|
|
" y_ltc_trend = np.empty(frwd)\n",
|
|
" # print ('y_ltc_trend: ', y_ltc_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_ltc_trend[f] = coef_ltc[0]*(len(df_trend) + f) + coef_ltc[1] \n",
|
|
" print (y_ltc_trend[f])\n",
|
|
"\n",
|
|
"# BTC \n",
|
|
" coef_btc = np.polyfit(np.arange(len(df_trend)), df_trend['BTC'], 1)\n",
|
|
" # print ('df_trend[BTC]: ', df_trend['BTC'])\n",
|
|
" print (\"coef_btc: \", coef_btc)\n",
|
|
" trend_line_btc = np.polyval(coef_btc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_btc = df_trend['BTC'] - trend_line_btc\n",
|
|
" detrend_btc = detrended_series_btc.to_numpy()\n",
|
|
"\n",
|
|
" y_btc_trend = np.empty(frwd)\n",
|
|
" \n",
|
|
" print ('y_btc_trend: ', y_btc_trend)\n",
|
|
" \n",
|
|
" for f in range(frwd):\n",
|
|
" \n",
|
|
" y_btc_trend[f] = coef_btc[0]*(len(df_trend) + f) + coef_btc[1] \n",
|
|
" print ('f: ', f)\n",
|
|
" print (len(df_trend) + f)\n",
|
|
" print (y_btc_trend[f])\n",
|
|
" \n",
|
|
"\n",
|
|
" # print ('y_btc_trend: ', y_btc_trend)\n",
|
|
" # print ('type of y_btc_trend: ', type (y_btc_trend))\n",
|
|
" \n",
|
|
" # Create a dictionary with the data\n",
|
|
" trend_dict = {'XRP' : trend_line_xrp, \n",
|
|
" 'ETH' : trend_line_eth, \n",
|
|
" 'LTC' : trend_line_ltc, \n",
|
|
" 'BTC' : trend_line_btc\n",
|
|
" }\n",
|
|
" df = pd.DataFrame(trend_dict)\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in trend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
" \n",
|
|
" X0_valid_trend = df.to_numpy()\n",
|
|
" \n",
|
|
" X_valid_trend[j] += X0_valid_trend \n",
|
|
"\n",
|
|
" detrend_dict = {'XRP' : detrend_xrp, \n",
|
|
" 'ETH' : detrend_eth, \n",
|
|
" 'LTC' : detrend_ltc, \n",
|
|
" 'BTC' : detrend_btc\n",
|
|
" }\n",
|
|
" \n",
|
|
" df = pd.DataFrame(detrend_dict)\n",
|
|
"\n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in detrend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
"\n",
|
|
" X0_valid_detrend = df.to_numpy()\n",
|
|
"\n",
|
|
" X_valid_detrend[j] += X0_valid_detrend \n",
|
|
" \n",
|
|
" # Create a dictionary with the data\n",
|
|
" # y_trend_dict = {'XRP' : np.array([y_xrp_trend]), \n",
|
|
" # 'ETH' : np.array([y_eth_trend]), \n",
|
|
" # 'LTC' : np.array([y_ltc_trend]), \n",
|
|
" # 'BTC' : np.array([y_btc_trend])\n",
|
|
" # }\n",
|
|
"\n",
|
|
" # Create a dictionary with the data\n",
|
|
" y_valid_trend_dict = {'XRP' : y_xrp_trend, \n",
|
|
" 'ETH' : y_eth_trend, \n",
|
|
" 'LTC' : y_ltc_trend, \n",
|
|
" 'BTC' : y_btc_trend\n",
|
|
" }\n",
|
|
" # print (y_valid_trend_dict)\n",
|
|
"\n",
|
|
" df1 = pd.DataFrame(y_valid_trend_dict)\n",
|
|
"\n",
|
|
" # print (' df1 ')\n",
|
|
" # print (df1)\n",
|
|
" # print (df1.shape)\n",
|
|
" # print (' ')\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for key, value in y_valid_trend_dict.items():\n",
|
|
" # print(f\"{key}: {value}\")\n",
|
|
" df1[key] = value\n",
|
|
"\n",
|
|
" y_valid_tr = df1.to_numpy()\n",
|
|
" y_valid_trend[j] += y_valid_tr\n",
|
|
"\n",
|
|
"print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"print (y_valid)\n",
|
|
"print (y_valid.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== Trend Input ======= YYYY')\n",
|
|
"print (y_valid_trend)\n",
|
|
"print (type(y_valid_trend))\n",
|
|
"print (y_valid_trend.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== De-Trend Input ======= YYYY')\n",
|
|
"y_valid_detrend = y_valid - y_valid_trend\n",
|
|
"print (y_valid_detrend)\n",
|
|
"# print (type(y_detrend))\n",
|
|
"# print (y_detrend.shape)\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 23,
|
|
"id": "9f36ca5e-c891-4cfe-aa9a-5719081d0bfa",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[[[0.56742129 0.31410587 0.67989839 0.64025912]\n",
|
|
" [0.56742468 0.31411127 0.67988947 0.64028316]\n",
|
|
" [0.56742807 0.31411666 0.67988054 0.64030719]\n",
|
|
" ...\n",
|
|
" [0.5678583 0.31480181 0.67874673 0.64335946]\n",
|
|
" [0.56786168 0.3148072 0.67873781 0.64338349]\n",
|
|
" [0.56786507 0.3148126 0.67872888 0.64340752]]\n",
|
|
"\n",
|
|
" [[0.52718319 0.28325657 0.62842861 0.58842612]\n",
|
|
" [0.52713459 0.28313199 0.62830298 0.58835563]\n",
|
|
" [0.52708599 0.28300741 0.62817735 0.58828515]\n",
|
|
" ...\n",
|
|
" [0.52091401 0.26718583 0.61222265 0.5793332 ]\n",
|
|
" [0.52086541 0.26706125 0.61209702 0.57926271]\n",
|
|
" [0.52081681 0.26693667 0.61197139 0.57919222]]]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print (X_valid_trend)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b5529d01-a898-4c73-960c-ca8741be17de",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 24,
|
|
"id": "263e1cab-3b94-49e2-a278-fa0336867310",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"y_valid_detrend\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"[[[ 3.83154060e-03 -5.51992135e-04 2.48004858e-03 -2.35495638e-03]\n",
|
|
" [ 1.72815296e-03 -6.35386982e-04 1.38897617e-03 -1.63108997e-03]\n",
|
|
" [ 2.42476533e-03 -9.24781828e-04 1.09790376e-03 -1.79372356e-03]\n",
|
|
" [ 2.02137770e-03 -9.99176674e-04 1.10683136e-03 -1.89835715e-03]\n",
|
|
" [ 6.17990065e-04 -1.26557152e-03 6.15758950e-04 -2.94039074e-03]\n",
|
|
" [ 4.14602433e-04 -1.36496637e-03 5.24686543e-04 -3.03592433e-03]\n",
|
|
" [-4.88785200e-04 -1.49336121e-03 3.33614136e-04 -3.21195792e-03]\n",
|
|
" [-9.21728332e-05 -1.13875606e-03 1.42541729e-04 -3.04119151e-03]\n",
|
|
" [-1.69556047e-03 -1.32515091e-03 -1.74853068e-03 -3.46772510e-03]\n",
|
|
" [-3.98948099e-04 -1.22154575e-03 -2.13960308e-03 -3.14165868e-03]]\n",
|
|
"\n",
|
|
" [[ 3.13178348e-03 2.39890655e-03 9.55423317e-03 4.23666768e-03]\n",
|
|
" [ 2.98038173e-03 2.80048591e-03 2.17986074e-03 -4.60144513e-04]\n",
|
|
" [ 4.52897998e-03 2.98506528e-03 1.07054883e-02 4.94924329e-03]\n",
|
|
" [ 4.07757823e-03 2.93164464e-03 1.09311159e-02 4.07563109e-03]\n",
|
|
" [ 5.92617648e-03 3.66022401e-03 1.28567434e-02 5.56021890e-03]\n",
|
|
" [ 5.57477472e-03 4.25680337e-03 1.35823710e-02 5.61220670e-03]\n",
|
|
" [ 5.32337297e-03 4.15538274e-03 1.29079986e-02 5.67239450e-03]\n",
|
|
" [ 4.57197122e-03 4.11496210e-03 1.25336261e-02 5.44638231e-03]\n",
|
|
" [ 4.82056947e-03 3.99954146e-03 1.36592537e-02 5.36047011e-03]\n",
|
|
" [ 4.56916771e-03 4.36112083e-03 1.23848813e-02 5.35465791e-03]]]\n",
|
|
"\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 679ms/step\n",
|
|
"y_hat_detrend\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"[[[ 2.8378333e-04 -1.6613227e-04 -4.6407498e-04 -1.4484947e-04]\n",
|
|
" [ 3.3957826e-04 -1.6847480e-04 -4.5289559e-04 -1.4777512e-04]\n",
|
|
" [ 3.8485150e-04 -1.6591426e-04 -4.3705164e-04 -1.4962802e-04]\n",
|
|
" [ 4.2086642e-04 -1.6129954e-04 -4.2054610e-04 -1.5049244e-04]\n",
|
|
" [ 4.4896908e-04 -1.5614001e-04 -4.0537637e-04 -1.5060528e-04]\n",
|
|
" [ 4.7049136e-04 -1.5118072e-04 -3.9236128e-04 -1.5022258e-04]\n",
|
|
" [ 4.8667606e-04 -1.4674244e-04 -3.8166522e-04 -1.4956182e-04]\n",
|
|
" [ 4.9862877e-04 -1.4292059e-04 -3.7312016e-04 -1.4878603e-04]\n",
|
|
" [ 5.0729676e-04 -1.3969895e-04 -3.6641693e-04 -1.4800523e-04]\n",
|
|
" [ 5.1346578e-04 -1.3701324e-04 -3.6121224e-04 -1.4728586e-04]]\n",
|
|
"\n",
|
|
" [[ 4.1747687e-04 -4.1990512e-05 -2.1756222e-04 1.9792060e-05]\n",
|
|
" [ 5.8000069e-04 5.3124080e-05 -1.7420592e-05 1.3981012e-04]\n",
|
|
" [ 7.1033556e-04 1.3116789e-04 1.4538024e-04 2.2979360e-04]\n",
|
|
" [ 8.1388047e-04 1.9373906e-04 2.7735249e-04 2.9758588e-04]\n",
|
|
" [ 8.9532638e-04 2.4316956e-04 3.8382495e-04 3.4887870e-04]\n",
|
|
" [ 9.5876108e-04 2.8186722e-04 4.6925372e-04 3.8784338e-04]\n",
|
|
" [ 1.0077114e-03 3.1201652e-04 5.3740141e-04 4.1756008e-04]\n",
|
|
" [ 1.0451697e-03 3.3546961e-04 5.9144793e-04 4.4031706e-04]\n",
|
|
" [ 1.0736298e-03 3.5373447e-04 6.3407014e-04 4.5782005e-04]\n",
|
|
" [ 1.0951312e-03 3.6800583e-04 6.6750462e-04 4.7134489e-04]]]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"y_valid_detrend = y_valid_detrend.reshape(batch_valid-cnt_thrown_idx, frwd, n_out)\n",
|
|
"print ('y_valid_detrend')\n",
|
|
"print (type(y_valid_detrend))\n",
|
|
"print (y_valid_detrend.shape)\n",
|
|
"print (y_valid_detrend)\n",
|
|
"# print (y_valid[0:10])\n",
|
|
"\n",
|
|
"y_hat_detrend = model_8f.predict(X_valid_detrend, verbose = 1)\n",
|
|
"print ('y_hat_detrend')\n",
|
|
"print (type(y_hat_detrend))\n",
|
|
"print (y_hat_detrend.shape)\n",
|
|
"print (y_hat_detrend)\n",
|
|
"# y_hat_detrend.reshape(batch_valid-cnt_thrown_idx, frwd)\n",
|
|
"# print (sl)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "93784fe7-754c-42f7-b03f-2b1ed5f22e32",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 25,
|
|
"id": "a0002571-14aa-4f19-8fe3-70b384921398",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"y_valid_detrend\n",
|
|
"[[ 3.83154060e-03 -5.51992135e-04 2.48004858e-03 -2.35495638e-03]\n",
|
|
" [ 1.72815296e-03 -6.35386982e-04 1.38897617e-03 -1.63108997e-03]\n",
|
|
" [ 2.42476533e-03 -9.24781828e-04 1.09790376e-03 -1.79372356e-03]\n",
|
|
" [ 2.02137770e-03 -9.99176674e-04 1.10683136e-03 -1.89835715e-03]\n",
|
|
" [ 6.17990065e-04 -1.26557152e-03 6.15758950e-04 -2.94039074e-03]\n",
|
|
" [ 4.14602433e-04 -1.36496637e-03 5.24686543e-04 -3.03592433e-03]\n",
|
|
" [-4.88785200e-04 -1.49336121e-03 3.33614136e-04 -3.21195792e-03]\n",
|
|
" [-9.21728332e-05 -1.13875606e-03 1.42541729e-04 -3.04119151e-03]\n",
|
|
" [-1.69556047e-03 -1.32515091e-03 -1.74853068e-03 -3.46772510e-03]\n",
|
|
" [-3.98948099e-04 -1.22154575e-03 -2.13960308e-03 -3.14165868e-03]]\n",
|
|
"\n",
|
|
"y_hat_detrend\n",
|
|
"[[ 0.00028378 -0.00016613 -0.00046407 -0.00014485]\n",
|
|
" [ 0.00033958 -0.00016847 -0.0004529 -0.00014778]\n",
|
|
" [ 0.00038485 -0.00016591 -0.00043705 -0.00014963]\n",
|
|
" [ 0.00042087 -0.0001613 -0.00042055 -0.00015049]\n",
|
|
" [ 0.00044897 -0.00015614 -0.00040538 -0.00015061]\n",
|
|
" [ 0.00047049 -0.00015118 -0.00039236 -0.00015022]\n",
|
|
" [ 0.00048668 -0.00014674 -0.00038167 -0.00014956]\n",
|
|
" [ 0.00049863 -0.00014292 -0.00037312 -0.00014879]\n",
|
|
" [ 0.0005073 -0.0001397 -0.00036642 -0.00014801]\n",
|
|
" [ 0.00051347 -0.00013701 -0.00036121 -0.00014729]]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print ('y_valid_detrend')\n",
|
|
"print (y_valid_detrend[0])\n",
|
|
"print ('')\n",
|
|
"print ('y_hat_detrend')\n",
|
|
"print (y_hat_detrend[0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "0035be85-b652-4bc2-97cc-a031db0d9dae",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "28f5f925-4920-4218-b9d8-7257616e3976",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"''' help with pictures - only BTC 07.23.2024 '''"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 26,
|
|
"id": "152cb805-4836-4c56-be77-213e28afd7c5",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"for i in range(batch_valid-cnt_thrown_idx):\n",
|
|
" actual = pd.concat([pd.DataFrame(X_valid_trend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_valid_trend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(actual)\n",
|
|
" forecast = pd.concat([pd.DataFrame(X_valid_trend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_valid_trend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(forecast)\n",
|
|
"\n",
|
|
"# =================== BTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['BTC'], label = 'actual BTC', marker = 'o', color = 'violet')\n",
|
|
" ax.plot(forecast.index, forecast['BTC'], label = 'forecast BTC', marker = 'x', color = 'yellow')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('BTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 27,
|
|
"id": "4b33b331-4615-406d-8d1a-6cbb0a1dc7d8",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" XRP ETH LTC BTC\n",
|
|
"0 0.005779 0.000538 0.001202 0.000403\n",
|
|
"1 0.005275 0.000368 0.001211 0.000581\n",
|
|
"2 0.005472 0.000071 0.001419 0.000376\n",
|
|
"3 0.006369 0.000623 0.002528 0.000752\n",
|
|
"4 0.005565 0.000344 0.002037 0.000353\n",
|
|
".. ... ... ... ...\n",
|
|
"137 0.000415 -0.001365 0.000525 -0.003036\n",
|
|
"138 -0.000489 -0.001493 0.000334 -0.003212\n",
|
|
"139 -0.000092 -0.001139 0.000143 -0.003041\n",
|
|
"140 -0.001696 -0.001325 -0.001749 -0.003468\n",
|
|
"141 -0.000399 -0.001222 -0.002140 -0.003142\n",
|
|
"\n",
|
|
"[142 rows x 4 columns]\n",
|
|
" XRP ETH LTC BTC\n",
|
|
"0 0.005779 0.000538 0.001202 0.000403\n",
|
|
"1 0.005275 0.000368 0.001211 0.000581\n",
|
|
"2 0.005472 0.000071 0.001419 0.000376\n",
|
|
"3 0.006369 0.000623 0.002528 0.000752\n",
|
|
"4 0.005565 0.000344 0.002037 0.000353\n",
|
|
".. ... ... ... ...\n",
|
|
"137 0.000470 -0.000151 -0.000392 -0.000150\n",
|
|
"138 0.000487 -0.000147 -0.000382 -0.000150\n",
|
|
"139 0.000499 -0.000143 -0.000373 -0.000149\n",
|
|
"140 0.000507 -0.000140 -0.000366 -0.000148\n",
|
|
"141 0.000513 -0.000137 -0.000361 -0.000147\n",
|
|
"\n",
|
|
"[142 rows x 4 columns]\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" XRP ETH LTC BTC\n",
|
|
"0 0.002417 -0.001171 -0.000229 0.000763\n",
|
|
"1 0.002965 -0.000768 0.000197 0.000894\n",
|
|
"2 -0.000886 -0.001080 -0.000377 0.001233\n",
|
|
"3 0.002863 -0.000395 0.000448 0.001177\n",
|
|
"4 0.002911 -0.000182 0.000474 0.001262\n",
|
|
".. ... ... ... ...\n",
|
|
"137 0.005575 0.004257 0.013582 0.005612\n",
|
|
"138 0.005323 0.004155 0.012908 0.005672\n",
|
|
"139 0.004572 0.004115 0.012534 0.005446\n",
|
|
"140 0.004821 0.004000 0.013659 0.005360\n",
|
|
"141 0.004569 0.004361 0.012385 0.005355\n",
|
|
"\n",
|
|
"[142 rows x 4 columns]\n",
|
|
" XRP ETH LTC BTC\n",
|
|
"0 0.002417 -0.001171 -0.000229 0.000763\n",
|
|
"1 0.002965 -0.000768 0.000197 0.000894\n",
|
|
"2 -0.000886 -0.001080 -0.000377 0.001233\n",
|
|
"3 0.002863 -0.000395 0.000448 0.001177\n",
|
|
"4 0.002911 -0.000182 0.000474 0.001262\n",
|
|
".. ... ... ... ...\n",
|
|
"137 0.000959 0.000282 0.000469 0.000388\n",
|
|
"138 0.001008 0.000312 0.000537 0.000418\n",
|
|
"139 0.001045 0.000335 0.000591 0.000440\n",
|
|
"140 0.001074 0.000354 0.000634 0.000458\n",
|
|
"141 0.001095 0.000368 0.000668 0.000471\n",
|
|
"\n",
|
|
"[142 rows x 4 columns]\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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JJZdcwpIlS/jhD3/IAQccwJgxY/j2t7+dq9NWKBQKhULRxek2ZRNisRhvvfUWixYt8rdpmsbs2bNZuXJl2uesXLmS+fPnp2ybM2eOL5bWr1/P1q1bmT17tv94aWkpU6ZMYeXKlZx++um8/fbbbNq0CU3TmDBhAlu3bmX8+PEsWbKEcePGpT1uNBolGo36v1dXVwPOEs94PN6m828Ob38dvd/ugjp/df7JP/c21Pmr80/+ubeRi/PPZt/dRlBt374dy7Lo169fyvZ+/frx0UcfpX3O1q1b047funWr/7i3rbkxn332GQCLFy/mpptuYtiwYdx4443MmjWLTz75hF69ejU5bnl5OVdddVWT7c8++ywFBQWZnG7WLFu2rFP2211Q56/Of29Gnb86/72Zzjz/urq6jMd2G0GVL2zbBuBXv/oVJ598MgD33HMPgwYN4tFHH+UHP/hBk+csWrQoxRnzKq0ec8wxnVLYc9myZRx99NF7bWE3df7q/NX5q/NX56/OvzPwIkyZ0G0EVZ8+fdB1nYqKipTtFRUV9O/fP+1z+vfv3+J472dFRQUDBgxIGTN+/HgAf/uYMWP8x0OhEPvuuy8bN25Me9xQKEQoFGqyPRAIdNqb3pn77g6o81fnr85fnf/eyp56/tKWmBtNZI1EFAmMIQZCa1qxvLO/WzOl2ySlB4NBJk6cyPPPP+9vs22b559/nqlTp6Z9ztSpU1PGg2MNeuOHDx9O//79U8ZUV1ezatUqf8zEiRMJhUJ8/PHH/ph4PM6GDRsYOnRoh52fQuEhbUl8Q5zY2hjxDXGkLfM9JYVCocgJ3vWv7pk6qn5XRc1fa6h9opaav9ZQdWsVsQ9j+Z5is3Qbhwpg/vz5nHvuuUyaNInJkydz8803U1tby3nnnQfAOeecw8CBAykvLwfgkksuYebMmdx4442ccMIJPPzww6xevZq77roLcHrzzJs3j1//+teMGDGC4cOHc/nll7PPPvv4daZKSkr44Q9/yJVXXsngwYMZOnQoS5YsAeDUU0/N/Yug2INZjFkJNQ/MQ+5OiChRLCg662aMMmeMQqFQ7El4TlT8Y+dGUtalv4mUuyW1j9XCKRAcHczxLFunWwmq0047jcrKSq644gp/td3SpUv9pPKNGzeiaQnTbdq0aTz44INcdtll/PKXv2TEiBE8+eSTKavzFi5cSG1tLRdeeCG7du1i+vTpLF26lHA47I9ZsmQJhmFw9tlnU19fz5QpU3jhhRfo2bNn7k5escdjVoJRdhWh8TEaVizwt4fGX49RVo5ZeaUrqhQKhWLPIPZhjLpn6lJuIluj7tk6AiO7XoizWwkqgLlz5zJ37ty0jy1fvrzJtlNPPbVFJ0kIwdVXX83VV1/d7JhAIMANN9zADTfckPV8FYpMkLak5oF5hMbHiMxyHNaGFQsIz1hCZFY59csXEX13HqUXy7Q5BAqFQtHdiH0YcxynLJHVjqPFwE6YVDvodoJKodgTMTeayN3Sd6Yis8oJH3E9QrOoX77I3e5cRALDut6dmUKhUGSDtCV1z2RekqAx9m4brYulgXet2SgUeymyJmF3N6xYgJQCoVlIW0sJ/9m77XxMT6FQKDoU7yayrdQ/W4/5sdmBM2o/SlApFF0AUZQI44VnXIcQzoVGaDYF3/yR/1j9s/WYlYtRyekKhaI7k3wT2abn10kanmhg+ObhxNfHia2P5X1ltAr5KRRdAGOIgSgWhMZfT2TWdSmPhQ5+BLumPw0vXElookpQVygU3Z/km8j2MHj7YKKPRImSaPcmigUFcwpyvhJQOVQKRRdAaE5phMiscmIffBMAa3eiYG3k8Fso+s6JfoJ6zYPzVH0qhULRbfFuIjsDr7xCrmtWKUGlUHQRjDIwK6/ErnYKxsY/+joNb57vPx4YvsJPUPdXuSgUCkU3RGiOi9SZ1D1bl9MbTyWoFIouw2KMssXoA9cCYFWMpX7pEqTtfEylrackqLc3B0GhUCjySXB0kMJTCqHxwuUCCE0OET46nPZ5mZLrG08lqBSKLoSUNnqv9wCwth5IeMYShOas7BOaRXjGEn9sR+UgKBQKRb4Ijg5iDHXSuYPjgxSdXUSPn/agYE4B4cnhdocFc3njqQSVQtGFkLWb0Qq3I22NwAFLicwqJ75+BgDmpvFOfaoZSxAlTqNQhUKh6O7IWkf0BEYGCAwL+MWLOyIsmMsbT3VFVii6EHbV22hFIBt6ETniBuqXL0KaIQLDV2BtH0V83XFEZpUTGBtEaIvByveMFQqFon3YNY4LrxU39XiCo4NwClm3pwFyfuOpBJVC0YWQ8Xec/8T7YlZeRHTNPIKj/giACNQTfXchgbFBVTJBoVDsEUhb+mE5rSh90Cw4OkhgZMBvoBx9I5p2XGMKjinIaasuJagUiq6E/l8ArJ1nERj2S0p/Iol9VASAKIpRenGp40wpFApFN0LaToK4rJGIIsc5EppA1kmQgABR2Lz4EZogMMwJCRpDjBYdK1EiKDgm93WolKBSKLoQWpEjqERwvPNTE2hFTg6BCDSoxsgKhaLbEfsw1kQAecU3tR6OKyUKRcbXN8+xavisgXdeeYfx08ZjBAyoJUWs5RolqBSKLoKM7Ubr8T8AtNIJiQdExPmpNeRhVgqFQtF2Yh/GqH2stsl2r/hm+HCnNEJz4b7mEJrAGGpQ+X4lgeEBAoH8N41Xq/wUii6AtCWxT99CCIld0x8RSVRJF1rE/Vmfr+kpFApF1khbUvdMXYtjom85+VDpEtK7G8qhUijyymLMSqh5YB6BA94iNAasLeOo/U8VRWfd7CSfa1OdoXpmiZgKhULRFTA3mq2uzJMNbiP4PaCunhJUCkUeMSvBKLuK0PgYWvFmZ1vFgYTGJ5og4zpU6MqhUuw5NJekrNhzyKaopnKoFApFm5G2pOaBeYTGx4jMKseqHgCA1vMzQmP/Qf3yRUTfnUfhGZ8AIJRDpdgjSLiyjZOUfVeWxfmanKIDycZ1yjaHqivS/c9AoeimeHZ4w4oF1L92MXrJFgBfTHlNkOVXIecJyqFS7AEkXNnrU7Y7ruxVmJV5mpiiwzGGGK23jnFVSHtbzHQFlKBSKPJEsh2uhXYntpvB1CbIUUdQCUM5VIrujefK1i9f5LZRug6A8IwlRGaVU798ETUPzkPaqvH3nkBGrWPcUlHKoVIoFG2n0Pmh9fqU4IS/ACAtA2HEUpsgF3h1qOqR0s75NBWKjiLZlW1Y+WMis66jx6/6+GLKc2XNjWa+p6roIIKjgxSeUtjEgRJhQcHJBeDeJ+4JOVTd/wwUim7HYszKxdQ+6dRmKTz1HIQmsb7aj4YVC4ivn57SBFkfVJh4qhXL05wVivaT7Mqan08HQGh2U1c2i2RmRdcnODpI6U9K0folJEdgfIDAkIBTJZ2Wq6R3F1RSukKRY7wckvCEGKJoC0bfj5AS4p/N8u/Uzc9n+E2QteCl/nOlWYcwwnmcvULRdpKTlAPjHktsd11ZT1TtCUvo93SyXaUpNIEIJh63t9vYux3HXRRlXiW9K6MElUKRQxqv7LPrSwGwKsYSPvTPfthDlAi/CbKUQaQUCCHBUtXSFd0XL0k5NP56QuMe97dH3zmTyKxy5//vLsQYor6aui7tWKWZFMm1K+1WmyJ3N/aMs1AougkpOSSv/wgtUoWUYPR/3xdTAAXfKMAoWwwsRggNTMeVkmbLVYcViq6M0Jwv3ciscmIffNPfblUc6CeqF53xO8yNJrG1MeIb4ipBvYvRrlWaVuK/dpWN9ZWzYU/InwLlUCkUOSU5NyT23qmED/sDQjRd2Ucj3STNMCJQrxwqRbfHKAOz8krMDX0JjvknAHrfD5CxfTB3zMT8LEr9shp/vKpP1XVo7LADNKxYkLJKM/ruPEovlmlDeNJMFcfx9XFgzwnxKkGlUOSQ5AtHcOLdAEiZQQ6J5TpUlnKoFN2dxU4oe+wf/C36wA9BDMfo9RLxhmkpo5O7BjiiSpEvkh12ArWJxTO6meSwSxreaEAv0pvmVrkOlQgJZFRifu7EAPeUkJ8SVApFDknOIQkfcj8A1rYxxD88scUcEumG/LCVQ6XYU0gk1Og9P6Tq988QGh93PgfCpGHlxYQP+0NGzociN6SsvpQ6AEI3mzjsDcsS1ylR7NSiCo4OIi3n+foAHXODCY5BpUJ+CoUie7wcEqOsnOh7pxA68DEww/7FyFvZJ7TFqU+0PUGlqqUr9hTi/v9EsBahf57yOQgfsQQhSHE+zI0mgWGBPM1376PxSj78Ci42oUl/8sc1dthT9rFbUvtYLZyCr6H1/q6g8p6vQn4KhaItJHJIhhI68DFk3Gl+HH13ob+yrwmWcqgU7adLNSSW8ZRf9b4fYO8aRuz9/yMyq9zJLbQMVZ8qL6RfyUcRhL92A4H9/okWTnR3iK49OSWnKh11z9b5OVTGAIMoic4Pdo2NtLu/+6gElUKRc5wcEvsg9w5PD1N0dpH75bY47TOk61BJ5VAp2kRXbEjcVFDFPzmeyJyF/jahm6o+VR5IrOSLpQik8IQlRKaX+79LW3MKs9b28VdpQnpRJasTf3d2XWrHh/qn6mlY0eCHBrsrSlApFHlC4LhNQkQwWgtjeCE/qQSVInua+4LMb8J3ansZvd8HhGcsIbj/i/42q6ZM1afKMU1W8gWrsb6Yit5vLZFZ1xL/fCrGwLcQRozo6vMJT/5/GENfY/f/e8nZgbBaPgBQ/0zT61hyaLC7iqpulwl2xx13MGzYMMLhMFOmTOGNN95ocfyjjz7KqFGjCIfDHHjggTz11FMpj0spueKKKxgwYACRSITZs2ezbt26tPuKRqOMHz8eIQRr1qzpqFNS7LU4FxUpI60PVYJK0UaaNCSe+VugKzQkdhwqu2ooAMawFURmlSOTpqEVbqd+xXynPtWZN3f7kFAy0pbEN8S7XL2t5JV89csXEZl2B0WnfYfIrGudxQFvfQ9hxLB2DkUrc5Kq9H5rEeFdTn29ly9t5QgtU/dsXZd5LbKlWwmqRx55hPnz53PllVfy9ttvc/DBBzNnzhy2bduWdvxrr73GGWecwfnnn88777zDSSedxEknncTatWv9Mddffz233nord955J6tWraKwsJA5c+bQ0NA0V2XhwoXss88+nXZ+is6nS13EPHEkW28lI21PdKkcKkV2JH9BRt89jcgRN9Djl2VdoCGxczx793gARGQHZsWxCAHmloOxdgxDCIlVMW0PK5ng9PKsurWKmr/WUPtELTV/raHq1irMysXku9ZWSr/FjYelPCaCuwkd9DAAdtUggsNvxq7rhRASY/+VLe63cXPkZo/fjZtjdytBddNNN3HBBRdw3nnnMWbMGO68804KCgq4++67046/5ZZbOPbYY1mwYAGjR4/mmmuu4ZBDDuH2228HHHfq5ptv5rLLLuPEE0/koIMO4r777mPz5s08+eSTKft6+umnefbZZ7nhhhs6+zQVnUJXvIh5gioDh0oqh0rRNpK/IO2vRgAgdKsLNCR2HCppDsau74EQEhH6EABr1zewdjhf5qFJq/2uAXsC7ao0ngOS89Qix/8MwHcNw9NuJ7D/8wAEhr1K/fJFxD92Kt4HR7/W4n4jMzO4zrl018UH3SYgHYvFeOutt1i0aJG/TdM0Zs+ezcqV6ZXxypUrmT9/fsq2OXPm+GJp/fr1bN26ldmzZ/uPl5aWMmXKFFauXMnpp58OQEVFBRdccAFPPvkkBQUFrc41Go0SjSZWMFRXVwMQj8eJx+PNPa1NePvr6P12FzI+/x02gX7XNJtDEq+4HHrl9jWUrjiSdqjV+ftJ6bI+Zax6/9X5J/9MhxVO5LQYw5cDbjJxo6XuVtjK6esoiQEgCldjVY5BG/Iaeo/PAYi+MYfInLecx0OvNTuv7vb+S1tSl5SfpPd9n/rnriZ40COJeltr5lHwo1hG4c3OOH+7nw0RiMy4FKPPp0gJ1b9/g8LTT8fo/Zk/znM3A2P/TmjCvWi9ViB6C+RXqWJIFAtCs0PQP/M5ZPq3mIv3P5t9dxtBtX37dizLol+/finb+/Xrx0cffZT2OVu3bk07fuvWrf7j3rbmxkgp+e53v8sPf/hDJk2axIYNG1qda3l5OVdddVWT7c8++2xGgqwtLFu2rFP2211o8fwlTPnox5QcZlIwqxxRsJ36564iPO02IrPKqVu+iKrXf8Qbo56CHKZoTB++jd7Ajh31rPrvUy2OPXx4lD7Azp1beD3NWPX+q/NvFglTAlMoOexWAsNfASD+8QlYFeOcnCWg6vWLeXnty/B+buYLMH34TnoDRtnrxL88xN9u7RyKMfQ/BPo/DYDeezX/eupfSPRm99Vd3v/SmlIO3n0wDSsWoPVeR+jAxwiM/hdCyJR6W6899hpVRVUZ77cjzn/kyIeI1BcReubXlB52K+EpdwEQ/+Q4gmOfIL72FPQjliCERNqa03LmiGsh4HRv0Mveg5pdQCkSSWTGDewq/oo3vjge/geRDyIcyqFIHMEl0lxsJZJoIJr132Jnvv91dZl3p+g2gipf3HbbbezevTvFGWuNRYsWpThj1dXVDB48mGOOOYaSkpIOnV88HmfZsmUcffTRBAJ7X8G7TM7f/Nyk4b0GoisWoJV8QXjy/yM06c8IzXbuCFcsIAwcM+4YjKG5+0jIzY8D0KvXPhx/0PEtj/3yZQB69oxw/IGJser9V+ef0flPvYZAv3Lin08lMHQlaGaiEfescgKjDY7vdXmOZu0gNzl9/OLrp/tCD8Cu6UvBrGupX34pocN+jxauZs6UAWi9JzXZR3d7/+MfxIl+5kQv7KohAI5AMQMpzvnkcZMJjGn9fDr0/He8RWDUNdRX9UUEdyMtw6mCXteLyKxy4utnuGJKR2gW4RlLQOpEpt2OXdcTrWAnxpCVxNcdS2TGDURmlaOtu4zjT3CuV9Y2i/qP6xFBgWtONkEg6PH1Hhw/suXrYaecfzN4EaZM6DaCqk+fPui6TkVFRcr2iooK+vdP7yX279+/xfHez4qKCgYMGJAyZvz48QC88MILrFy5klAolLKfSZMmcdZZZ/GXv/ylyXFDoVCT8QCBQKDT3vTO3Hd3oKXzlw0JC9raOh6436md0iiHRG/Qc/oamppXNqGg1ePGhZN/ILT6tGPV+6/Ov8Xz76dhVl6JVbGdwNCVCM0JY3jFZAP9AHL7+sVMJxRpbpiJtXM44UP+CkBg8Ju+W2MMehNt/+dh26vQMKnZQqTd5v0vxS9oGRj1T3+zMOIp4ddAaXbn097zl7ak6qH5hMabCfGkm1jV/QlNeID4+hkEhq/w35fkFaLJ9aeMoa+i938vEb5c/TNK5zvvmRDO+ybCgoJvFlD3TF1qTbQSQcExbatD1dnfrZnSbZLSg8EgEydO5Pnnn/e32bbN888/z9SpU9M+Z+rUqSnjwbEGvfHDhw+nf//+KWOqq6tZtWqVP+bWW2/l3XffZc2aNaxZs8Yvu/DII4/wm9/8pkPPUdE5pDQkHv0kkNqQON243EzMXbEnMgkDR1Kfo1BkxWKMssXofd1wSyRO0dlFlF5cmseEbzcp3Taof/a3fuKzNIMgHAfE/GKKM19tZRdYRNJ+vF6e4RlLMPp86m83t++faDRcInJebyulVMLLPycwfAUAesnWJmIKSJRUcIVU7AMnMT102O9TV4/WJ63Y8xoj64Lg6CClPyml6OwiCr9V6P8tdtf6Ux7dxqECmD9/Pueeey6TJk1i8uTJ3HzzzdTW1nLeeecBcM455zBw4EDKy503+ZJLLmHmzJnceOONnHDCCTz88MOsXr2au+5yYsNCCObNm8evf/1rRowYwfDhw7n88svZZ599OOmkkwAYMmRIyhyKiooA2G+//Rg0aFCOzlzRHpIbEvuhhWgx9a/PzW/RQM1dsSdaL5vgj1GCStEevKKLhklgUH4dHaF5X7QG4cN+77SaMYMII4YxZCWB4SuIrjkDAGPwKiDfhUjbT3Ivz2T00i+pf/lnzffybCOZthpKXlUnaxI5xdIMYm6civn59CbVzxtWu78Li/qXFhEc8083fJl+9ajXdsZLhROa2OP6MnYrQXXaaadRWVnJFVdcwdatWxk/fjxLly71k8o3btyIpiVMt2nTpvHggw9y2WWX8ctf/pIRI0bw5JNPMm7cOH/MwoULqa2t5cILL2TXrl1Mnz6dpUuXEg5n8CWn6BYkX8TMbaMw+n6ECO+m4dV5QAsNiTsbLVEpvXUSIT+Fou24yStaF1gVF3AElTH8ZYIjljUJJ8XXzyA0/iGkLdBKNxGefTmRqXc4oaR351F6cTddWl8G5pbvYgy4F7t6ANIKovf8HOurQzpQKGbXash354VJ+Gu/BnBypYwYSN0XSOGjw+hFOqJIIKWk9n53+2wn/y7Z+W/SLshzqIw9pzhrY7qVoAKYO3cuc+fOTfvY8uXLm2w79dRTOfXUU5vdnxCCq6++mquvvjqj4w8bNgwpu+cHeW/Ga0gs6xPhXRHe1XJD4s7GFVRSy8Kh0pRDpWgHrkMlRDNZwTlECEfUJYspSPSB80SVF37yxJS3Es7caMLAvEy9nSxGxm4H7sWqGousHYHe8w8ED3oau+LPxGsFxpD2NQrOttWQPkhHFAgKjj8fLVKFHS2g6qZ1hKfenuLihyeH/XlJW/rOf2TqHQAIAfXLf5Ho6ffGAt/5b+xQ7Yl0O0GlULQNpyGxteMRf0vB8fUERpbm3plyEUlJ6a0PdscoQaVoF26YTesClaiFMwdz6wlE1ywEEjeqvggQFsbQV51FJJbeJJSUbul99+A9ALTiGqSxGwCj/1KqflcNUs+6abXXAULWSCiAun8m9+Krwfx8OsaANYlkcdfhE9pVvpMVmngdwdH/AiD66s8IT73dCee5uVKNXfxk57/+5Z8TOcIpet2w6seA5qzy66MjtGucJyiHSqHYsxDh7f7/tV678tsbTHfDd5k4VJqzalQoQaVoD64r5P/MJ+4cZOxESn9S6uf6WDUWDcsa/PCf0GxnuG6lDyV1Q0TYEVR2fT8CA+7HjofQCrej7/MW1qbJGeeKadrVjB+yhbo/zEwJ7XnE108nMu02mHYbQBOHTxQmnCy9z8cAyIZiCNQSmXGTK76ad/E95z/69iW+oBKBehpWOe+RMcT2xyqHSqHYg5C2iQjvSPwe397C6M5HGK6g0lvPoRKa61DpSlAp2oPnUOU/5OcnyItASoKytCXR16NOKGlWOWbFGIx+HxD79Kgmi0hMqws4bVkipY1e6lStrF/2M8whY/zzCoxcSmDfl9I4SenFo71dMHTCn6mv6pvi3iWXNTCGveoki0toWPVDf4xVbdHwZMLJsqqcPrVmxThfTDW8tYDSS0rQjMXNnI3j/Jf+RCLtAoRWR+G3BfF1IRpWLCA0KURgX++Azg+hd18h3BpKUCn2GmT9V2iFiTsm7K/yNxkA3alH44ulltBUDpWi/Xh5S6IrJKV7cyF1qXxKKGn5IrSeGzD6fYC5YQbWl5NTw09W0912deTuL9BKqpGWgfXlCKzPx6H1/YDQmH8QnnZLk6rp5kYz7Wo4aUtqH5pPcLzbASK8i4ZXf0po4j2+mAKncKjzE4pOO5Oavzphvfql9YQnLwFh0fDWOYQn3oeUEBi6MiWnzfrSQhvWcoUlR/AVAHUEBsUxN7h5VmbS6kHL/f8erDq6TR0qhaK9yOi21A32jvQDc4Tw3KYMHCo0d5WfoQSVoh2IrpRD5Yb8RNNvWD+UtGYhWM7jQo8TfXdhty2Z4GHvXuP83Lk/WE4ov/7fNzsr5NJUTW+uUbBXOyq6YgENqy4kfNgfKJ0/MkVMRWaVY8cSKQWBYa8SPupKAMKTHRcLqSOkE4fzSle0rWm2d2NYl8iTSv4zc/+/JztUSlAp9hpkrJGgIs8OVcAJ+YlMQn66CvkpOgDRdUJ+wptLGkHlFSIt/UkpWokjOvQBdp4LkXYMMv5fAOzdifI9ocl3IbzKBW7VdI/mcsWShY4IOv3mvDpQQEJYNfRMeV5k2m0UfefERAHO1y4mcPCDzj4tox0FjxOCynOhlEOlUOyhyHgjQSXy51BJO47QvCKLGThUunOXqRwqRbtwRYzQu0DIzw07CtF8cUehCXBbf4iwmd9FJB2E0NcCIBnnV033SkQAmJUjM6qa7gkdUbSF4EEPJbYbMYxhSZXN3Ru32EdOfzwpSal8XnDij9ACUez6Enb9dqu/qi/7qu1pHKrkkKxyqBSKPQg7VVAJPY8hv3iiQKcwWs+h8scYDUhptzxYoWiOLhXySySlt4j0Hu8CIjBLvHIGsbUx4hvi2KaNiDgr/GTdOIrO/F2iJ94LTnFMrXiLX8up6MybmxWR+iAdIlB48vcQekK51L/8MwLD3I4Q4cRNWN0z1yJtzQnrSUHDK/MJz1hCaOw/AIi+eSGgpbSVaen4TUkSVPremUO1B5+aQtEI6QgqGS1GhHaDkUeHyqxDeP2zjaaNtJvgOVRCIs0YGKqSv6INeIJKz3/Iz6/W3pqg8pLWu0Kph4xJrVQePuJa2K5T8+Al9LjUKU9Q/9wBhKe8CcZMRNjG2jIBu64nWsFOzC2zMCvDzeSKJfYdnnINgSGrUh4VRtQXRPpQHRFwBFVo0p+del5urlbRmadgbRuDtAVCk8T+e4YT6hMW0TWL2lDwuOWQn+9WqbIJCsUegHDKJNjVI9DL3kYYO/M2FWnWuT9DCKP1K0yKi2U2KEGlaBOJVX4WUtoIkccghV8Tq7WvIe/xLuCqZUiTSuVSJzKrHGP/ZxGajR0PIasHIhs0jF4vwb4zKfpOKdbWWWj7PkF46ktN+v2l27cx8C0ArG2j0Hqvc5wqYfu1owKDE8I5cvgt1C9fhN7vPYKj/01g35cQhZUITRL/fCrBcY+5ocfLCc9oS8FjlZSuQn6KvQetEgC7fiQAIpTHpHTbbTtjZiiM9CBSuja6VddZs1Ls6Yikbzg7v46P3xy5VYfKe7wLuGoZIG1JzQPzErlIsy9HRoswvxpOYJArgLZMIDzjBj/cV/PQT51cJWMOAFrBsoz2rXuC6qv9/bBf9IOzKbmoBKNsMTI2z39u/fJLaVixgNrH/oK5zbkGGv0+cPZb39OfS+0/57fxzFVS+h58agpFKiLgCCrsUc7v4Tw6VJ4oMjNpjAxCaMh4GAL1SEs1SFa0ES0pS9iKgZ5BuLnT5tLSKr9kXEEluodD5ZUzcEoP2ERmXddkjDHoDQJDXm9Sb0rvfRwAWtnbNKzZhN6jL8YQw89jSt631ucjQuOeQEoIjv43dkMxWng3wq5P1I4ynWuFtHSia36B095HUHPffyi5eDxaqMZ5/qinMqp91TLKoVIOlWKvQQTdyujGaOf3QD0ynie3x3ZFkZX5F5o03bGmElSKNpKUhyStPDs+3opDLdjKQHeVXzfJobJ3JxaN2LV9/f9LWyP639OcxHDNblLvSSu4GrvhbqxtoxFCYv5vKTV/raHq1irMysXA4pRSCfaO/YBE7ShZ28/5PVDvj/Nv3OKFlP6klNB05xoi63tR++hf3Hyq9tSeSkY5VEpQKfYaRNhxqERkP6Tt5C3JhjyF/SzvzjEzh8p5TsR9jhJUijaidZ2QXyIpvZVvWDckKLv8Kr/FmJWLqXvGrQkVqiJy9GUAbuK3jVa82RdTjes92XUCo+wq7IZiAAL7vQDg9vVzmhgn14QKuI2Mpa0jjBgEq90H6v1x0qp1fpoFTnuf4QnXyRi02hdTba89lUyGDtUe3BxZCSrFXoG0TUTEWdWnhfsj3WJ3MpYnQeXmUGFlnlwuPTfLVoJK0TZSXB47vw6Vn0OlZbbKr6s7VF6yeHiSI0wKTz8NLViPHYsgNIm1cyiB4SuIr5/BrvLUek8UQ+2T86lfvojAkDcACOz7YkpPvt33XYK2j+bXrjLKnNWCNQ894iSbFzurmLXChkTtKNu7cXOuM8YQI6X2Vf3yRU3mkl3tqWQydKjUKj+Fonvj9PFze1pFyrCrekLB9rw1SJbSvdDZWazW89wsWxX3VLSRJIdK5llQkWlSuudgdWFB5SWLe42Gjf2WERi8GgAtWE98/QxfTAWGryA8Y4kfYovMKscYalBz/0+dbcIkMnMJWskWV/Rc6o/dfdtuis47CaPXS365A6tyFOZnRxI86CH0XhsIHfYYQjvLmZifq+mIncZ9Er39Js/F75OYNSqHSgkqxV6BbKiAQrDre6JFAshYL2e7mS+Hyr3Q2dmE/JRDpWgnyUnp+Q756V4JhwxX+XVhQZWaiO4IE4/65YtAWJifT6fhlQWEpy/xi5p65Q20wsT70vDyIsIzbkBozg2g1mOjM17qhCZej9HrJcwdkzB6rUY2FCN3DwDA+mokeq8NiHBSnpx/nUncuCX6JM7DSVInZS5t75PY1KFCOs6U0MVekUO1B5+aQpHAazsjG/pABDAdQYWVr9IJrsuUhUMlXfElpXKoFG2ki4T8pLQTrZdaEVTCL+zZdVf5JSdxN6xYQHhmuZOfZKU2Oo6cGEEvuQpZIyk6W7gr+BYT3xAHagCcsJsm/eT10PgHEcEarG2jicy6jvrli7B374/xjfOxdo3iw8EfMWH6BESoEAC76kj0Hu4BvfIsKbmaizHKoPQnzmo+WSMRRYm5tJ00DhU4zpTOXuFQqRwqxd6BJ6hizu2XtFxBJfMkqPyQXxYOlSe+bFWHStE2RFcJ+dlJ4khr+b5eiq7vUCUncYdnLEk0OtZTGx3rJTqBYQGC44IEhgX8cghpc5t+sx2zwlmRHBzzT19MNaxYgFb6EQB2dDSVPSsxhhogXUEjk64P0klKT+eEC02knUvbSeNQkcij2hscKiWoFHsF0uvjF+/jbnAFFXlqP+MKKmQWOVS+m6UcKkUbSQ75yTwKlCRB1WrZBC+HSuu6gqqxIPKof/WSzBodu7lNnpjyc6buejVR0FcKf7te5ggqaY9J7EQmCRp/m+eEZ3Hj1maSHCohEsnn3lvttW5UDpVC0c2RTskEabkJArK381PLVz+/7AWVn8AuVQ6Voo0kixKZT4cqaR56KyE/0fVX+aUIopd/7m9veGV+xo2GvdymhtWJEKHjdrmLaYT03S69z8fuk0YnduBfS5KuD55bZbfegL39NBJ0jVb6+Sv+lEOlUOSOxh3apd2WInONEG6VdOkKKuEIKqHlK4cq6v7M4s5RumNVDpWirSTXocqjQ5VSVLSVkJ+/CrAL51BBQhDF1l6U2GiGib67ELPyygySvRdjlC2mdF4poiAp/Pfyz5GmIyojs8oJH3EtWq/PnKcUjU16vitoRPINl9szNJvrTJtJFVRNVvrtBQ7VHqwVFd2P1A7tHqLYW+rrjGkLQncFlXCvaprrUAXy1H5GuHdxMhtB5VVVVw6VInuktBBaoop3Xlf5ySRxJFopTOQlrXfhkJ+Dk+xd9J0vAKfgZtFZPbNO9tYMjaJzUksbGENWEhj2KrGPjyUy83pn/9FiROEgYK37TE9QJedYek54fgSVRPq5U75DtQfXoVIOlaLLkOiifn3K9uRKwW3GcKuka257BsN1qAJ5DvmRRQ6Vf5epHCpFG7BTHR4po80MzAGumJOWgRCtfA2J7iKoXDwH2Qy3Odk7UdpgobOrDUc4D9hBzC3/B4BVNSr1tRPpBFUbbtzaTKOQnyucfCHlOVR7cKV05VApWkXa6ZbXduyHonFhPLQY8Y9PIDBiWSJRc/UlFJ4cIzA0+4tUoo+f61AFnKR0EcqXQ9WWkJ8rvoRyqBRtwDZT3QGZvxCa9MKNdqB1x0J0r15+WG6pAjOEaK1NYbOkljawdx4NlGMMfQVr2wXO/uvHQM/k5zjXEqElXR/8a0WuBZVMCflJKX1BtSc7VEpQKVqg80JwjUlXGC9yxI0AKZWCa++vbXT8X2W0fxF2BJUIOg6VFixzt+9wauK0dpfc0XgXOpHNhc4bqwSVog1Ycb9GJoDI5yo/yxNUGXy7+g5V186h8vB7bWbRVqo5vNIGcvDhyGgRWsEOZI/H3AONTh2suYImRVB5bnYuBZUNxPy/NWkmiSnYo1WHCvkpmqVTQ3CNaFwYz1sqDBA44Cm/snBbjp/cx0+Ene7vIuKUTxB6HGI1nZMI3wL+XaTI5qLrOVR5DNUoui2yUc5UXkN+rjsm7daqpCeVVeguIT+/mGaolYGZI/Qg1vZpAOg9/uccpm506nVKOIU90ZJCfl74T+RylR80aT+TJKhUUrpir6NxCE4r3Ujd0zcQnnarH4KLvjuP0otlh4T/UgvjXe8vFQYw9vkvxRfMZPefXiR8+M0pxy/4YevCR9ZvT+rj59ahMiKOJW9EMXdeTu3DV3W6C5eC5t45ZuNQeWNVyE/RFpqE+PK4ys8r2ZCBoOo+SekuXmsoqyNdocVg2Clb6pcNh2frGD/zX2jaaqQ2BQChJwRVIvyXC4cqgCMpTJziniWA41AlN0nek1WHcqgUaUkOwcU+PYrQhAfocemglMJzstqJ73cEqYXxrgWchNXo+yc6j/f7gB6LBjQ5vvWF1dJuAbDrtzo/63phbnTEohAassHJowr0vzUnLlwKvqDK5s7RcaiEppLSFW2g8aq+vBb29EJ+GXy7ejlU3STk5zcvtzvOoTIrwej3nP+7jBYhqwcSGn89Qyf8GXu7SIT89KTrgyuohFbYYXNpmaTinnoah0rDKfq5h6IElSItySE4EfA+lBbSDKb0pkoe1x6SC+NF33E6pdtVg6l7/B6i73/LHWM36Y1l19hp9+ewGLNyMQ0vuMuY63pT89caqm6twqxc7N/xRt893anvMvtytD4fpbR/qHlwXqeE/7w7R5FNyM9zqDTlUCmyRzYRUHks7Om5ZRkIKj/kp3cPh8rrtSmz6NPZ4v7caEH98kv9bVblSMIzbiAyq5y65YuofWi+f3MmjKSQn+62uMoqtaA9NG0/k+JQ7cEJ6aAElaIZ/BCcUY8xaBUAUoIwYim9qZJDde3FWypsbZ0KgL1zqPOzclTieI16Y8WeizF+yL/QtKub7M/LAQuMvdvZT62TiO65TzLufPjjn86m/qUFRKbeQckPp3WaC5eCdxepZxPy85JOVQ6Vog00KpuQV4fKPbaUGThU3S3k53Uy6CBBlYgWLMTc5lwL9X3eSaQ+rFiA3C2xd7jH0xM3XP6Nm5aLHCpI2yA5yaHak0smgBJUimbwQnAFx/0coTufBiGg/pV5GfWmahtOpeDAKMdRsquG+25R/ItD/VHe8QHCk5YkLG8XaUtin8WouXce9csXERr7pLO9rneK+2RtOQgALbIT66sD/HOUttYpLlwywhNUWhaCSnNCCEI5VIq20KSQZxco7JlFDpXQbKRsPcSfdzpYUCVff+r+8XukFM5r0ThaEHVTAoykkJ8nrvTcCyrlUHUD7rjjDoYNG0Y4HGbKlCm88cYbLY5/9NFHGTVqFOFwmAMPPJCnnnoq5XEpJVdccQUDBgwgEokwe/Zs1q1b5z++YcMGzj//fIYPH04kEmG//fbjyiuvJBbLo12eA7wQXGj8QynbzU+Pzrg3lUe2K+iEsR4AfeDGROjt3meIr58OgB0POsf/zokplreUV2JWLqbq1ipqH6hFNjg5YPEvDwEgMOrfqe5TnVPERUR2EvnaNUnnbhM+6srE7x3owvkY2Qsq/y5TOVSKttAkKT2fIT9XzMksVvlBotxCV6aDQ37J15/AiGUIIZFmsGm0oMDJkxLBOqR0UiGE4QqqbG7c2oVyqLoNjzzyCPPnz+fKK6/k7bff5uCDD2bOnDls27Yt7fjXXnuNM844g/PPP5933nmHk046iZNOOom1a9f6Y66//npuvfVW7rzzTlatWkVhYSFz5syhocH5UHz00UfYts0f//hH3n//fX73u99x55138stf/jIn55xPjDKwdg8EnARxAK3vh1n1pvIETs1fa6h9ojY1h6m51XMhp0+ViPRIaRZa8/Aj2PWlaIEYUgoCw1ekWN7m57JJmYfgQQ8TGPS2sz/3QuTd1cl6Nyn9wEfQe25E2gLLtdQj025zLlYFoA/q+Nsq4d45imxCflpTS1+hyJTGZRPy6lD5SekZfLaSmyfns11OpniV0rNofN4SqQt2nBvCXeVb/Rvb0IwliGKBMbgk8STTSynwrjO5T0pPcags5VB1OW666SYuuOACzjvvPMaMGcOdd95JQUEBd999d9rxt9xyC8ceeywLFixg9OjRXHPNNRxyyCHcfvvtgONO3XzzzVx22WWceOKJHHTQQdx3331s3ryZJ598EoBjjz2We+65h2OOOYZ9992Xb37zm/z85z/n8ccfz9Vp5w0Z+xlaQQUA5sZvAhAY8QmlF5dilC0mWRClc6HaWsdKK9rg7DP6C4yyxRTMcT+kZoS6p24CmoojgNpHE53dwzOWEBixlIJvJBqVNr6rs+sdh8ro49Z12Tkcs2Kc8/94yNnPxCVU317dsgBsC65DJbKx4t27TKErh0rRBprkTOWzbIKXQ5VF2QQaNVXusniCqmNW+SUv2PHcdXDq9dUvX0TBrHIKz7gJEUpcS2S81nmu0YZczXbRjEPlmqN7cg0q6EYVIWKxGG+99RaLFi3yt2maxuzZs1m5cmXa56xcuZL58+enbJszZ44vltavX8/WrVuZPXu2/3hpaSlTpkxh5cqVnH766Wn3W1VVRa9evZqdazQaJRpNfOlVV1cDEI/Hicc79iLm7a+j9wtgV7xAaLCJVTUEWxwHPI5W/D6mZfoWrqZdjb1dOCG3pDpOFEH40BiyZjqRWeXo/d6j9p+3E57yx0Qy5Zp5FPwolhI2lNFqgkVOVXM7PIx4PI4dSazk08s+8P/viSPfcWpIrbQupZMTBV619YX+XZ4x9BVia09JOV9z8yGEDnwMOxZBC9YT+/RIEJYrAMuJV1wOvdr/OktpEQw6XwwmAUSG753EDX0Y9U3e9854/7sD6vwzP3/bjKZc8KWM5u11sz1hJI1W5yClJOg6G/FYHZqRcGK64vsv3RwqKcMdNi+tl0W84nKia+YDSUWQ1yxgW+k29hlnYVpgyABCjxOPViOMEgLuCm1TBrBz8BrpehhNA8vajS2c67YVsxBR50Isddmh71Uu3v9s9t1tBNX27duxLIt+/fqlbO/Xrx8fffRR2uds3bo17fitW7f6j3vbmhvTmE8//ZTbbruNG264odm5lpeXc9VVVzXZ/uyzz1JQ0DnJgcuWLeu4nUkorS3l4JH/ITQYdm+ayMcbTaYMA63kQ/71n//4SmX8kC0MnfBnguNNokluUWjCEiLTHeEkiisIjv43gZFPITQ76S5L8tpjr1FVVOU/r1+wgsOOc2pGPf3Ca/58pgSmUHLYrUSOuBGrah/00s3EPjzBEU7A7tcuIWg5gqNhxQLCM6/1i4PWv/QLGlYs9B/Th75CcPgKRMF2/7h29QCsr/YDQAs6FyGj74dYmyb5eVpVr/+IN0Y9Be28yQqIOMc7hh/PL3+VWIZ3sj2NXRxxguNQNc4F7ND3vxvSZc/f/SwF40FigRhVhVXt/vtJRybnP6RgAxP2SfxevXsHrzb6O8oVo3qsY+RQiMfg2Qzm8M2vGwjd5NUVy9ltlTR5PC/vfzPv7bShFZQBu3Y2sPLdjnp9Jzk/hr3U9Jgbv8GajQBP8Y05EYQe582VL7ErXsLXT3SugS++vIpoBzlmLTFhwk6GDIGPPnqb+k+msR/7sfmLzWyv2s4YxrCzaifLn1re4cftzPe/rq6u9UEu3UZQdQU2bdrEsccey6mnnsoFF1zQ7LhFixalOGPV1dUMHjyYY445hpKSpheD9hCPx1m2bBlHH300gUAG9nkLNHabimf9DIDA+mOYMPFzpAStYAfHzpqAVrgP0pbU/WEm9VV9KZhVTnDkv7GrBmNtPYjIrGupX74Iu6YMo4+T5J9uZcrkcZMJjEnM2978d+dnzTCOP/74xOSmXkOgnyPQMBqITP8dMlbsW97aYEH9gz8HIHxEeUqldWRqZLv2gX8gzjqRwPAV/jZrx74UzLrO2b8wicxcglayhcjM6/08rTBwzLhjMIa272MjGxJC7qg5X0domb1vdu0m5z+Beo477liE0Dr0/e+OdNXzb865FcWCwjNuQusjse0r2n2cbM7frkj90ikpCad+xnKIvcn5DAT0SGZzsAOgmxw+dTJayb7+5ny8/62+tyEnR7dHj/4cP65zX98m5x8tAKo5dOJYRMEwf9yRx5yA0NvcqTljNO0p4EVGjRpCtHYM0S1RBvQdwOCRg4lujNKrrFeH/s3l4v33IkyZ0G0EVZ8+fdB1nYqKipTtFRUV9O/fP+1z+vfv3+J472dFRQUDBgxIGTN+/PiU523evJmvfe1rTJs2jbvuuqvFuYZCIUKhpncDgUCg0970jti3WakT6HcVofEmDW/8AH3AGgC0nmsJ9r8Du64XomAHev1HGD2GOrlSfkNj6VQ4H/AejHqK+hXzib3/LUoumJVyjMZhOlEvkB9LRJFTgsGUGwCQ0eGp59NPw6y8kuiaeeh9XoDpvyMwbAXVL/6ebaXbGHSgRkOxIDT+eiIz3Ryp2t5E37yQyKxyABpWLyB8eJiG5xqouf8fRI65lPCUu5ASAsNeTclPCM+40RGAjUoo6A16u19nu8HNH7EMgqHMHUs77IhxISQBHURSsm5n/m11B7ra+ad8lpKd2/HXE+hXjll5JYGyjptvJudvaqmra4Uw8/aaxTWv/IGR0Rxk1PmqMjSJnmZ8Lt//Vt/brw4GQIhIzubknb9V5yTC60TRRNJ1JpyrpPQi5/h6FD3kxGmFLdDdbHQREJ3ymnT2d2umdJuk9GAwyMSJE3n++ef9bbZt8/zzzzN16tS0z5k6dWrKeHCsQW/88OHD6d+/f8qY6upqVq1albLPTZs2MWvWLCZOnMg999yDpnWbly1jEtV4naTuguN+jtBs7LqeRKbdQf3yRZhfOM05ZfQ952dSfZTYx19P2V/okHsp/L/vI4KOXWq5RTqtnUP8kgcIaFjWkLL6TxS5ndStfUnFqVFV+pNSQlOPRFoBtNJNRL6zlTUbv4Etr/ATN2OfHgWAuelQP3EzMquc4nNvQS9OLDOpf7YcaWtO7akk5yw8YwlCc5cda3aHFzL1u9Gb2a0CEkZSYmlcrfTrqjT+LIWPuoLgxLsJz/xNp1fgb3FeslFCt+gCdagySUoHpOWOy2cxUtK8t1+7BrBT69ttHeGOzlV18iRM9wbNrkeate62XM5DJaV3G+bPn8+5557LpEmTmDx5MjfffDO1tbWcd955AJxzzjkMHDiQ8nLHkbjkkkuYOXMmN954IyeccAIPP/wwq1ev9h0mIQTz5s3j17/+NSNGjGD48OFcfvnl7LPPPpx00klAQkwNHTqUG264gcrKxNK05pyx7khy7z7Ad3W0gp2+cxOe+VsY+W/Q3gdSxUVk1q8BnKJzQqIV7kAr3AFAfONkap/4E6U/ORi950biXxxKYPgKis46kZr7/+HvIzT+eow+bzm/iMaCyt2sCYL79cCsmITRbyXULAecxBCv0jrxdwCwvnSKgUbfXUhgbBCjDOK1yU2Yb/DDkMmr/yKzymlY9QPCU/6ItAz/tYi+u7BjCpm6gkpa4ezSafSE6ymtegQ92j8XRYfT3GcJSMkfNDeaBIbl0CFqXIcqn4LKW2GYSaV08IWXtPO7yi/5vdVKNxKZ/jvC025JyQ0tPOUcZ3A2jc87Crchs7RrEd51xowgOj99yqWVsgndSnFkT7c6vdNOO43KykquuOIKtm7dyvjx41m6dKmfVL5x48YU92jatGk8+OCDXHbZZfzyl79kxIgRPPnkk4wbN84fs3DhQmpra7nwwgvZtWsX06dPZ+nSpYTDjqpftmwZn376KZ9++imDBg1KmY+Uub3D7EyS3abkpG5pGf4Xg1U5GgARdlbaefVRQuOvJzhyqfPclxeAUU/k8Nuc/doaNX9ZSviIa7F3DkPvtR5z/SwwwwSGr/BFjDF0BYHhr2DX9UQr2AmB9ILKn2/9TGAlmrYcONPduhijDOywI7BEz8MpOrvImae22J2z9OecvAzZu8ME70vv5wQP/BtawU4aVn+XyKxyAmOD/n7ag7TcJMdsHSqhIeNhRKAhsQ9Fl6PJZ+mI69zwsd7pFfhbnlhqlXEh8ilOHHGXUdkESPT8y7dD5b9nEr3MWQzVODfUL1WQs/55SfOz3X5+dj3S8hyqXAq7vduh6naxq7lz5/L5558TjUZZtWoVU6ZM8R9bvnw59957b8r4U089lY8//phoNMratWubJMQJIbj66qvZunUrDQ0NPPfccxxwwAH+49/97neRUqb9tyeR7DaFZyzxk7qFbvqix3J76umlHxB9rwFzo0nRmb8jMqscu74UAPOLKRAvSuzXC5lJHb2XUwE9eNBD1Nz/BA2rfkBkVrkjVoa/Qv3ySxGhGgDs3cNanm/4SGcuPVdQtrMP5ucm0pbY1Z+jFW9B2jqhsYcTGBZIKcvQUk2X+AanEjuGAATWJmdljb1rVIaFTDPE7UYvrewvdNITYVZDywMVeaPJZ8kPH1ud1gczo3k1rjuV15Cfc2yRoUMl7a4R8sNNRQqMeBZjkOOmSylSq5YbTskckQ+Hyq3OLmUd2J4Tnh9BpRwqxV5LstvkOTVOQvbPnLpNw1ZgbpqGtAKIUA31L6xDVg8icnQUjMMwer2OtDWMoa8SmXGTs1oOx3nyxEv9SwuIzFyC3uNLis44DWPfF/zjSytA9N0zicy61smXiA1KO0+HxaDFkWYQrXgLY2uDNDzUQLQ4StFp89FKwP7qQPSyorTP9kKD0TXzSK7pUvuPf1F05s2ED5cYg4qwa6cAywgc8DZG2SPte4GTcS90WG24g3WfI03lUHVVGn+WrJ1D0Xt+TnzDtI4PH2eBbCxG8hrycx0qMnWo3HF5q5S+GLMSap+8BLCJnHCJ/4hsKMbcepD/3oqAe8OUuzhbAtehIklQtek602b2bodKCSoFkHBujLJyomvOIDT+Ieydw2l4eRFIJ48oMOwV7Jo+iKLt6H0/xKwehGzQMHq9DoBd18cXU35oIymcVr98EfEvDyEw6G0C+6cuFhB6nMgR1zr72TUErbj5C61ZCUbf32LtHILec6NTpHPH/k4O1oDH3bkc1kKXAyc0WPoTJ49F1iRWGXohvcAwMLc4Sfhaacv9IrNF2nXuz+wvdNK7OErlUHVVkj9L9csXEdh/GfT8HGvzRMwNMzs0fJwd3TiHKs8Oldf1ITwhhlb2IXrxNr9wsBapJvr5DMzPZzhufY2TgiJy1j8vgUwSVInrTK4aI0OKQ+VegJVDpdgr8Zwba3sEeAhr+0jAqcaLITAGvkxg+CsA6GUfYgxYQ2RWOfEvJhEYvBrMQZiVP2ri/Hi9+BAWdf+4k5IfT/YrmDesupDQoX9CaDahCQ8CYO8aij40vRzyVtmExsf8O8LAsFfQiiodN6B6AHrJFhDpV34mIzTRYlKw3nMqUgr00g3YtVvRCjtmEYLwxJDdhguuJ6gstcqvK5PsggZG/dvZqEeJvnu1v0Ai53Qph8o7doYOlcxfDlXja46MOZ9Ba+uBGAPeQ5oBGlYsQJQIAmODaEVO/mjuGhInT9Y7Zh24gooOatKcGa00R1YOlWLvwXFu5IjvO79aoyk6uwgpJbX3/xz4OUVnnURg35eJHHm1v7IlcICTkG5t+gnBsec2cX6c5yeVJEj6TOn9PsCqHI3R7/1Eq5jwLqpvr3bv8p15eTReZROa8ACBsY8TFFD/8s8JH34zAHZdIreurYhwD6wdo9B7fYi181W0wpPbvU9ItKZoT8jPy8NSdFUSLqi9y8mp0XpblF5cmgdnysMNs1lO1XG0/If8Mv4Kch2qJqUfckDyNUfvt5bg6H8hJRgDnPIxwogDNgXfKMYoW4xddQ9EdiSamecUT1A1OGE/ACtPDlVyDpWpmiMr9kDSNTFujAi5q1eKxjoOTm3isYZVP3Ye02znzuz1H6P3/y8Admyq+5jj/ATHBQkMCxAYGkjplh7fMN3JqVq+iMCwVxwxZYuE0GooabaBcvLKqLr//M4XYVIKzI3TELqJvbsf9f/q2yENje3dTukFWb2S+IY4tmm3+vq1iieo2tCNXvpJp8qh6g4ITSAM570SwdS+lbnHFTHuwob8rvLzxFyGSeneasDGpR9yQPLKPq3H5wB+7TqfQD14aY1uUnpeBJV0BY2o9a8zUnahVX6GcqgU3Qxpp8sNcsRJzQPzmrRLaOwEaSWuoIqMdX4mrUYyBryTeK4Rp2DOLxCahV21Dw0v9MUYtLiJq9Q4pyR56Tg4dXpEUhVnu75XooHyu/MovVj6X0QpK6im/84XYUJICr/9HQDMLw8ldOgSjLLydqzOc5JQ4x9OJDD0PvQBjxJ7N0jN/QsIT18CwqLhiUshAoUn/g69TKKVXJ3ZF6YnhtoS8vOeowRV90F3V32R3xpKXrhMmgXOalot9+IkQXaFPZGOeBF5CPl51xx98CqMAc7No1e7zh8TqEtcm3THPRZ6HkJ+nqAR9Uk3bnkWVICMKYdK0e1YjFm5mKpbq6j5a41fgXzXLbswty3HKLuK0PjrU57R2AmyayvQCr5ycod6OILKW7XkOEzXEf/ykMTz3bwn88sphCamd5UgOadkYcp2r5J5/MuJiX2Oe9wXXrLaEYf+flLm4oquNWcAoLlV2QnUtrsitZeEqvVybH2teItT4f2sE51Vj0NWAhCetITgiGuIrbGourUqQ1fMXQVEWwSVu3JICapug3C/YNGi+Z2I71C5f3f5zKES3mc6uzpU+Qj5edecguOd/qzm5oPZVb7VX8kMoPVo8FdtCj2PDpV7TRGiDt8yk3kK+SW9tTLqluFRDpWiu+CJgND4mFtQ8FqQzi2B0fcl4utnpFRt9oppJjtB9u730ArBrh6KXuoUXUnnMBWd/XUCw17z96X1/y/BsU+kdZUcmq6sMytNoq9EHcdqxQJ6/LIvQjebNFBODvM153aJwm0ERzgrB4P7v9iuitRNklDjQUQg5qxQHL4Cq3qAU+n9O06D5URx0OszdMXaE/LzHCqVQ9Vt8EJAIt+Cyuvt5v4Nafl0zLxjZ1cpnca1tDoZz+0v+PqVGH0d577uX7cDzs1gaNrNaMF6Co7/A0L7A1LaftkEYeRSyLgIt1CWqKc915m2451zA7j11wBkw97hUClBtYcgbUlt8uo3LY4orCQ88S+AV/37ZxSe8t0WW2EgnLYysmYUlCb27zlMDaud+is1Dz5G6SXj/PYyRu//ZSRiklfWiQ2C6CvOl0x4xhJfTDVpoNyoAKI/lzcTtWBqH/4bgV/1RWhWuytSN9c6JDDobQD0ki1OQ+XhKzArR9Dwxg9SHbO0gjL5RWjHhc57jnKougVSWghfUOU55Oc5VK6gEnlNSveqtmca8st12YTFKSkSRec6pVPiG6YTGPkUgVH/ouHlS5H1vSH4JVqJ+95aUf9bNaX3Zq7wiolqdSC8m658OFQgRIPzWphJDtUevspPhfz2EKwvLF8E1C9fROSIG3wxBaD1+Zji7x1DcPS//W3pnaAPnf/HRzc6gtOcuGCO+4GxwtT87X68gvEtuUrNkS5851npkVnljsgqEWkKIDpzKTwl0UHd6ctnOYKsnRWpG7cOkXbitkraWmI1ImCUraPHguEpldcbhymb4l3o2nDB9UWYcqi6BWaSK5VXRwgSq/zcz3A+c6hEG5PSc+RQJdz+68GoR+/zCQB2TV8is8rR9wlRdHYRWM41yN59ujNPM+lGx8hDyM9zqPR6EF6WfC6FXfKxEnlUnqDa0y0cJaj2EGRtQgTE1p5C4844oXGPYwx8O2VbSrsEHOEhQo6gQhuT9jhaceJPJjB8hbPaxQqk3VdrtNQGxhNVRWfe3KzT460eDGUtyFqZV5PWIZbf7d78fJp/zoArrqRfi8ajRUEp2iGo/A72yqFqjkxWsuZsLslfsHl3qFwx4tUlyqPAE1nmUAlyJ6i8kL93HSn81oVoBTuw60v8/M66p+Y71xVPnHq9Nd2WUFIK0HLY+NrFKyYqtLqEE55TQaWRuEYllU5QIT9Fd0IUJkRAwYk/8EsJCCExKw9A7/OJ76rEvziUwOA3MSvGNmmFIetTV/g1pnFbjXTNhbNpq9FcG5jouwtbLYAoNEHhGTcR6NdUkAFtrkjd3Dl6OVPx9TOouf8f/u/grHhsKUyZOnH3QteG5qneEmjZUO+IhQF7Vk/J9rE445WsOSOp56LId1K6J2K8Brp6/kJ+0hNGItuyCZ0/5+ZC/lqkuklagwi7gsp2astIr+CuGUYE8uBX6O589AZHVAGIXOdyFeA46HUIowcSCW46lUpKV3QLtIEaokAQmnyNU7UcqHnwbxgD307JmQKwto0iMPhN9B6fU//yz33hIRsuQivcBoBeOi7tcZpLCm+7iGm9DUyL591H8vk751O6ZiHZCrLmSHeO4RlLfDGVnJBu7RqI3mMTVvWAjAWlaNOdoyMWrC8NGAaypo7aR2sQxYLxM/+Fpq0Grsn+ZPcgGi/K8HBWsranhEbbkVZSz8UuEvLz+73lMeQn/JBfsMVxCXLoUDUK+YdnlvuudGMXWgSd11JKp6k7riMpzTAi9wYVaJ5YrkNq3o1brnO5CoAdJDtUPsqhUnRlNO1qxg/ZQv0fZxKaeD2RGTcBYFUegDHwbYyhK/yx8fUzMD+f7vSbqi9Bi1Rj7zgYs/JK9D6S2If/JTQG7KrBiOL0jYWhfa5Sc7TWBqY5bPsK1mx8iuN+VIDYIrIWZM3R5ByF5YirVxZQdFZidZ+1bQxF3z4bocf8EEGrglJzXYssLnSeWLCrZzkb3JVEofHXM3TCn4lXXI7erw0nuofQeFGGKNyGtfVAtOKKzBcLdAZJDlVXEVR+uQ49j/MRWVZKz2EOVUrI/2tXJ2rd6WlcaNvNWZKNHKqcNiROIHR3PkZ94jqj5cOhgsa1qEA5VIoujr1dMHTCn6mv6guaiV1fihapwtqxr++Y+PVShNXExg7P/A3W9lOpuW8+gVH3EBoD1raR1N5T1UKYpH2uUmfQVkHWPI3P8RpEkaB0uo6smUls3Syib80HuR0ArfArYh99PzNB6V7oRIaCKl3/QmE0+GHWuuWLiK2ZT+lPciwWuhDJizKAFleyduzfScvIpJ6Lfn2ivOE1JPbybCxnmb/IQ2hKZBfyS3xVdb6gSgn5T78ZAGvXIGJrzm7iQptfpgoqr5yJtEKdPs+0uMVEhVHvh/xEHgWVcqgU3QbbtKn5608JTTIpmFVO9L2T0SJV2PEwwZFLiW+YjvnFDKJrFqbmlIRtzJ2HYPR8G634f+g9r8GaaCIiX7mPV2UUJul4EdP1SHuOPa5B7wGBn0rMjYVYX41C7/0RBSe8jVG2uPV96m5YIMPCfym9xAa8Q3DkUgKjnyQ4VjrOS57EQlcieVFGapjGaFcJjXZjJyWl57VMASDcUgUysToWOw56Hr783bmITEN+neBQpe8oIVJC/rGPjyU4cil25aj0aQ3+a+k1InZdoXw5VIY7n0C941JBHpo0J16TJg7VHl42QQmqbomTT7P7L5dAPURXLEDoUT/cpwUaUvKbCs8qQGiJcJgoCGH0fNt3s6Lvn+SHAQEI78pvmKSb4Imt+OfT0Ht/BPbLwCmtP9FzqDK8c0wWAdHV3yc4cilCk20qVdFZNPfllCuSF2UkN+AWupn5YoHOILmJdZ4dqkTeUtIXrBXLk6DK1qHyhFdHCKrWFy94IX+7ZhMAVuUoIE1ag9/WxXWo/JBfnhwqt5io0CxEoNrZ1pUcqj1ccezhp7dn4uXThCc5ybeieBPBkU/7j0tbS+2XVweBce4yf1tSdetPCY2PJxWsfAPb0tEizgfQKFuX1zBJt0ObAdyNVvBqZuP9ViSZ3Tmm9FIc+GZieysFUHND11hZpw/WU1ZmegViYx8f26bVpx2GnbzKL78OlfSS0pOKL0orRl5uldwcKplx5rZXLbP9r2FmixfcnqTmEc5hCw6k6OyiNGkNXmVyN4fKC/m1pU9nByACCfdRhJ2iy0LPYw6Vvnc5VKoOVTejcY2UyLELKfneMeh93YKctobQ7GZrQiWHjxpWnweAVroZTbfaVaRzb0YvnQWA1vtdov/9qtXaR4nebpmFBZr0UvxiEgDmttFEZpUTmrEEUZx9va2OIKUAYhKNe0R2No1rmuGWBDA3TsuopllnIZNbBBn5dqhcQZVcrsPOj8jzxWXGDpUnvNqXSN/4+llw4g8RxZtTigsn9//USp3rqj7wIALDAmn+fjxB5eYreQLazk/IDy2AtJ2vdb95c86bNCcJqkCj12sPt3D28NPb80gWRKJ4M+FD/+Q/Ft84mZq/LG2xJlSyOKp/+kZCE+5D6JYvxDJp/aJIZjF2FGTVIPTSL4n992XM9bNadmjc3IZM7xwbl3GIfzqbwPePQu+5nvoV8ymYVU5gtIHQru7QM2uNdMnyyTXJch0y9ldmvvfDRPJ+sJbomkvbvPq03diJsglCjzutaES+MnM98RRAWgZCN8HO00o/12kSGTtU7jjRvlIP8c/jiXzEQW8QOuhvBA98FCFkE1deL9uBVugsOmmujIxXmdxLAJdewV07PyE/ITRkrABCNYltRmELz+gMmg/57ekOlRJU3YyUGikvXEHokL+4ybc6NX9Z6mxvoSZUkyrguoW0dIRu+QUr21qkc2/Ec2jMirFQ+iXGkNcw189qManfX+2VxZ1jchkHudvG2j4Cvc867N3D2PrGj+m9v4W0c5vrlq4AYnjmtWm/nHITMnbCNMXnbfO36APqKZ1RmrfVp01aBFlxMPIkqHyHKgBWEHQTmTdBZSXmkhFu/882h/yc0HTtY07/T633OgJDX3X3KdP2/7TDbqP4qqFopc2UkfFavWipq/xy25A4FWlGEEmCKq8OVeMyCXv4V4kK+XUzkgVR6NA/+WJK6Kn966JvLUz7Zd64f158/QxfTAWGr/CdqXyGSboLyeEDo5/TVNoY8nqz4QMAKW1nBQ5k2Y3e6V9Y+pNSSi7+HXZ0HwCCox8l9Myvqbnj51TdWoVZuZhcVQNPEfevOl9UWbfh6QREsisUqs3v369sLKjyGPZL7p9nu99seQr5kW3IzxVespmk9NbaDfl5p4cuAWFS+M0fIwLJ+W1N+3/K6FoA7JrGfU2T5+X1znP/5rym5TI/OVRAkxWGyXlVuaGFpPQ9XHHs4XpxzyOT1i8Nby2g5JISNGNxk+c3Dh8hLMzPp6dtH5O3MEk3ISX8WrCd8OT/hzH0FQLDXmneobFiCMPra5X9XazQBDKuExj4EgDGsFcQJV8iqwflvCJ4its587rE9mza8HQC0qpNzEWrbWFkDmgkqKQVzU8SOCRKFYgA0g4488ibQ5XklmWEs8qvsUPlFTau+8PMtIsi9D6S+PpfUff3eYQOdULT+uCVGIPeStlP/LOZTWtMffEBADKevq8pgNC8kJ/3d+b18sunQ5W06EAK0DOtRt9RNJOUroMQHfHXv9jZGZejaVdzwAH/A453H7sGsNwxyf/PDUpQdTMybf2STkx5pIaPklyGtxagDzQIjpeEj8hnmKR7kJKP9sy1hA79f45j2Ch8YO+2E88x6/yb8uwcKvf5jfKWhJAExz2G0OM5z1tKLYD4O397w+rv5TVkLM2kcIeoaX5gTmjUxDqvDpVXKT0AtvMlm6+QX9ZJ6SL9Kr/kwsbJn7nCk76BUfYK9a/8koYXHbHTsGIBomgL4Un3+uNi62YTHPEcWIEmnQ5EyBFUaOn7mgLgVyb3XNH8h/ywktyxeAQRzLUt1IxDldVlYDGeaEr9P8AK4AUAhHiF0aOXY1kHuGOuAK7GEVPe/3OHElTdkPa3fmmp0nlu/wC7M6n5aDckah9pFpHjfkb90zcCUP9sPXr/cud9sS4E2n7nmFLks/+7BEc9ReTIa/KSt5Qs7htWXUh4yl0AxNeejKzp1+bm1O0mKeSHnmeHqlEOlbQbmhmXA3wRoydCfjloNpx+Ltk6VF5SemK+0pbUPjSf4HinsDFGAw2vXUJ48h8JDHvFGWQmro+Bkf8mNP6BxPPNIA3Lf0VwxHMYg1dR+8+H/eunlDZaibPCT0SaSUgHX1CJJoIqT3WoAGknOVRmBJFrg6qZHKrWE9IXkxBOnjgi6f8vAEcm/bwCTYPKygMpK7vKHet9f3liyhNhuUEJqm5JQhA1fNbAO6+8w4TpEwjvG87qy2tvqHTemTQOv3p5aADhSfcga8toePlSQhMToTgRdC+8bexGn+KKvXAFwVFPuXlL+Sl14Yn7+KczfUFFsDa/IeOkkF/eBZVoJKDyFWIjuWyCgbTdz73M03xcQSW0zL7t/YrqSav8vJuL6IoFCC1O5IgbCB/+O4RItNvyWxBJjcjXfuM/11vNHBixFBktQoR3Ez7uU4yyxU4+1qdfEjxgB1IKtJIWQn6NHSr//c6nQxVO//+ckY1DtZj0IupyYLn7+5HutuXuvx8C1f4e+vRZm7S/K3FMhtyLKVCCqlsjNIEx1KDy/UqMobmtTK1IH34NH3kVkcNvASAy83qMISv9RsrRd+dRdNZGoO3d6FMWJUy4z9mXzGeRT0fch498zt8SPDhOcHT+QsbSTsqhyregauxQWXl0qFwxIkQQfEGV56R0LbOvIL8AaLJDlXTTEHv3TCJH3OCG3FMLGyf3dQSoX/4LGlb8ws8ZtXYMQw/VENjnCszKqdQ8MA+999sEDwB75zB232dSdNbi9CVQPIcq0MihIo9J6SkOVa6LekLrDtViWhdRL7r/+uCF9xLcmfKbEMk3jxIn3y73Ygr2+Jx7haJz8RyahtVuLtsLVxJ9/yTAETqemGpYsQBZLbEq3Zwes20X3ORVmuGpvwdw78gvdcoWzFiCKMl9kU+RJGK04rr8ivtkQWXkOYeqsUOVL0cIkhLBDT+HKm+FPbMtm+DlUCVVm0+5uZjy+8R2zabg/77XZDx4jbJ/AeCvZtZ7bXAetL/0i9TqZR8BTsuZlorUikCRO70o0jYRXcGhkkkiqgs4VOEjrnVWUPrVQjwRdY37+yz396k44qkAR0wBbG/mGAIYCYBtJ8uYAE7x12vSPKfzUQ6VQtEunDvXgjlR6p507lLrHr+b4Oh/OP32Gt0ty3q3MbIZJr4hnnXPuxRX7OWfETnCydNqWDkXEHnMW0pygmSeRYxMyqEKdLWQXx6T0rUkQSWdS7+UeZqPnl1SuhBNV/l5NxfB8dcTnvynlPGhsU+iRXYQ2PflFvcbfXchgZFfYgz4K8LY6Semm5smOMdrpa+pJ6gAiNf5fTpTqtHnGJkkqPLTAqeRQyV1ZwFNkQb8moR75DlTxwBFwOv+85pigN86KYgjmj7Gsq7kk08+YfToh9zHGu9b5VApFN0OrThxlxSesQShOTa00GzCM38DUgepE193KOFDgHiImr/WtKnnnb8o4Z2LfUElAg15zVuScnfSL/kWVElVovMsqEQXyqFKLlUgpRfya1/l8Tbj5VBlujDDD/kl5is0QeEZNxHoV070nbMITXjAb/gOpIipxjlVDasXUHhyIYFhv8HaNghpGWglW4j997SUcYGhK1te7GGEkVK4eYw1CQGdR0GVUgPLymfIbxMYySvQfwN4yfpPJo1/ttHzBU7oTscpe3AkCRcLYDqJVX4vuav8rkTXk1f5XU0+RJUSVApFB5CuPljwwL+h9/4fkSNu9BPWo++dAoCMOxe9ttWOchclXCz95NrQCRbhkXksdZEiovKdt5RU2DNQ74RiMszV6XC0RmUT8uUI0ahUgRvyE3nIoZLSRmhZhvw0d1yjEJ7WR/L5O+fTa90cR1BVDSG2djLhQ//sj0kuLwOJ0jJG2WLMSoHRrxyregB6yRaMIStT59rYYW602MNv9RKsRcZrfIdK5DOHKllQ5aWnoCeodqL3+S1wCQ0rFqCVaoQmXNHMczTAJiGihgPrSazqe4HUFXyOyNK0K6isPJAePX6Frnt/S8m1p6wOPK/WUYJKoegA0iWoy3iYgqOvxKruT2D4CuLrZxA68DHACfm1t+ed0AR2LIwwYuhlsTxXBE8WUfmu/dRI0MVrIVSan6loqQIqr2UTkvOWXIcqLyE/O57Ip8lU6Ir0gsq2r2DNxqc4Zn/3PY9HqF+6hNDEu52Qe6PVr9HVCRc3XS/KyJxFaJFdgFPaxGs039JiDxkvQARrkVZCUEktj4KKrhLyC6H3uorwjBjRt76LMfSfjcZNAN6heRF1JPA88DWcZHVIuE0WcDmWZfHVVx/RoweNHm/8/9zQ7ZLS77jjDoYNG0Y4HGbKlCm88cYbLY5/9NFHGTVqFOFwmAMPPJCnnnoq5XEpJVdccQUDBgwgEokwe/Zs1q1blzJmx44dnHXWWZSUlNCjRw/OP/98amry/aWh6Gok6oMtJHzEtYjIDqQZRC/ZSsPq72J+MQVz+/7O2CGvpVS6l9VOOCFr3OR2aaXLO8glycU08523lPpayPjuZgbmAC1VQOXDEfJxxYjQAn4OFc20culU7KSwXZYhv+Z6+Ymgm5sYj/gh9+RG7x4F/1eAUbYYWJxS0y269mQAX0yZ2/dn16+/8nOqWlzs4a2ks2oRnkOl5THkl+yOyVyG/BbjJIN7x7SwqhcTmVVO6fyR6L3ec7d7suMdHNHkhfU8MfU8jhv1gru/F93fPbfJK/YJtv0rPv74jE47o2zpVoLqkUceYf78+Vx55ZW8/fbbHHzwwcyZM4dt27alHf/aa69xxhlncP755/POO+9w0kkncdJJJ7F2baJuxfXXX8+tt97KnXfeyapVqygsLGTOnDk0NCQuhGeddRbvv/8+y5Yt49///jcvv/wyF154Yaefr6K7kei3ZwwNEZl+C9ZXjoASuolW+iVGn0+d3wUdUjtKelWR7TwLqiQRlfd2L11IUHlfsFIK92c+C3umWeWXD4FnJR0za4cq/U2HKHSFTMkm/0ZlV/nWJoIoOf8ppabb09cj3V+lrbH7D86NeiZ9TaXp1qKy6sBrfJ5PQSWSRFROK7Z7OUx3uL+bCMP5bk50nLmA1FxRG0csNRZRl9OciOrKdCtBddNNN3HBBRdw3nnnMWbMGO68804KCgq4++67046/5ZZbOPbYY1mwYAGjR4/mmmuu4ZBDDuH2228HHHfq5ptv5rLLLuPEE0/koIMO4r777mPz5s08+eSTAHz44YcsXbqUP/3pT0yZMoXp06dz22238fDDD7N58+Zcnbqim1H75Hy3abLTviI04X5CBz/sP57u7rlNtaM8QWXVtzyu00kSUXl3qFKPL808OlS6K6Bi7mqwPJZNEJ4Y0QL4lcfJ/XxkcqkGLbMcKr8AqNacAHREtNHn0yYtuZoTROkbzWt+mM+juUbz/vm4id/Sqkm8311FUJFLh8oTQb/1t2gFv280ZjCOSPISx5eneX73ElHJdJscqlgsxltvvcWiRYv8bZqmMXv2bFauXJn2OStXrmT+/Pkp2+bMmeOLpfXr17N161Zmz57tP15aWsqUKVNYuXIlp59+OitXrqRHjx5MmjTJHzN79mw0TWPVqlV861vfanLcaDRKNJrITaiudqq6xuNx4vGOvSP09tfR++0udMXzNz9PhBIgXWHBpg2to2sWIgfIrM9DmM6F2zJr8vsaaEmiRc/dXNK+/40cKitWjczTa6O7X7AyVoII7UbaDR362mTz92+4gsq0QHNbz9h2LOd/N3asjlCB49qZlkx1rJpB2pqTdqWlXkO9/0vXoTW/OpDomoWktORasxBjtIHWx0p5rhwgW280v3oBkR9HkMavcJ7adK7Cvamxrd3++23JYE7+5tK9/3aSKyXtcI7f30vRNAtdv8rfYtf0Ibr6ArR+GqHRV2BZV2LblwKgaRYQw/ZF9qXuz8zmnIvrfzb77jaCavv27ViWRb9+/VK29+vXj48++ijtc7Zu3Zp2/NatW/3HvW0tjenbt2/K44Zh0KtXL39MY8rLy7nqqquabH/22WcpKOicO4Zly5Z1yn67C13p/Mt2ljGa0QD+BVrozpdZ47tnCRTMKmdb6TZeWvqNrI91zMQABrBxw0d8/O5TrY7vLGYfuNP3PCxZzdKncjuX5Pf/mAm7SPY9PvnobT5bnR/X7OtHuV+wDUVoxVBRsZG3/9vxr00mf//f/LrzN/jayjeYsJ9JD6By2ybe6oT5tESpXs2srwO20SSntTl6Gjs44gRAi6d9zq5dm+kPVG8Zw4phL1FaW0owHiQWiFFVWAWvT3RHpj53/Mx/MXTCn6lbvohoM5/Ll59t+XM5+0ADA9j0xScM6+u832++9R5fxdN/P3QGye///sWbGDvU+f/27bW8meP3FybwzW86YT7b1qj63ScAbO69GY3PGD36Kj755BM++eQ0nMR0aPy+ZEtnXv/r6jJPp+g2gqo7sWjRohRnrLq6msGDB3PMMcdQUlLSoceKx+MsW7aMo48+mkBg7+vL1xXP3/zcpOEh58LqiSlpO6GExsTWLCQw2mDQQZJ9xh2f/cG23QbA0CF92W9wG57fQYjtN/r/N0JRjj8+N3NJ9/6Lnb9OGXPA/gMYtU9+XhvNXdUn7J4A9OvXk+Mndtxcsvr7dx2qaTNmInY9D0Dfvj04/pDcvjZ29f+c/1iBjP9O7N0bACcXMfk53vn37Om4MkWFfTn+hMzPR9NWE6+4nNia+SS7Wll9Lrc6LaAGDuyJMJzIxKFTZqCV7JvxPNpKuvffrkh8rffuM4Tjx+f2/dW03zjhU6mjaZa/SnLo8KGE9v8LlnUABxxgsf/+7Z9XLq7/XoQpE7qNoOrTpw+6rlNRUZGyvaKigv79+6d9Tv/+/Vsc7/2sqKhgwIABKWPGjx/vj2mc9G6aJjt27Gj2uKFQiFCoabfxQCDQaW96Z+67O9CVzt/Y1yBaHG01lFB4ciGBoQGE5tRX0fWW9pqeuFtzRhexvJ6/ZSS3e6nN+VyS339L96rRhxBGFE3U5e21kaYb+reKARCd9D619vfvtEWR7tgIFl7lcTPnr42lednfOoFgZse2g66zr8UJpMm78lfXiYIsz+ca9H5Oo3lzo4mskYgi4XYwyOxzGZdOfpwm6sFw5hEIF6Pl8HVNfv/NQLG/XdMKc/z+XgNcBVyNEJcj7auJzLoSAGld5s5lMdC2611zdPZ3a6Z0m6T0YDDIxIkTef755/1ttm3z/PPPM3Xq1LTPmTp1asp4cKxBb/zw4cPp379/ypjq6mpWrVrlj5k6dSq7du3irbfe8se88MIL2LbNlClTOuz8FHsOXk2qZDEFqQmyxefeQnB4sP21o9w6MzJtu4YcktyEON/tXlxxJ+vcLOI8VW6X0kIYTtK3tHq4W/OUlJ5cqiAlKT0PuWVudXZpZfEF6IooodlImaZYo/AWZbQtpUJozgrA4LgggWGB7D6X0l3lx85Eo149j0npetJrIHJZh+oaEpXKnRpQQrvCv+YF9r02h3PJD93GoQKYP38+5557LpMmTWLy5MncfPPN1NbWct555wFwzjnnMHDgQMrLHRfgkksuYebMmdx4442ccMIJPPzww6xevZq77roLACEE8+bN49e//jUjRoxg+PDhXH755eyzzz6cdNJJAIwePZpjjz2WCy64gDvvvJN4PM7cuXM5/fTT2WefffLyOii6PomaVPNISZDt4PYw0nWoBPld5SdSHKr8ijvv+DJaBnyZv1Y4ZjShW2wv1J+nSulJggo9UdgzP6v83GPKzL9+/FV+4CSxG6n2hvAWIuRUQLh4lcm1rxLzMfLR8sU9doqgyuU8vNV7qQU1G153biiNfXNbtTwfdCtBddppp1FZWckVV1zB1q1bGT9+PEuXLvWTyjdu3IimJUy3adOm8eCDD3LZZZfxy1/+khEjRvDkk08ybtw4f8zChQupra3lwgsvZNeuXUyfPp2lS5cSDifuMB544AHmzp3LUUcdhaZpnHzyydx66625O3FFN8RtD5M2lLC44w7jt5nIc9mEJFdKBOscd0Z0oKefBb6ginmLSfLkUJl1ic4q0hVUIj8OlbRj+J6LZuArvWYKZXbuZNxj2ll8/ehJbpYdBxo5QH4B1XwIGcehEtqOxKZMC5Z2Bkkiyq4OIu3sOjC0ncVNtkhbgnDc+WBtEGNQruaSH7qVoAKYO3cuc+fOTfvY8uXLm2w79dRTOfXUU5vdnxCCq6++mquvvrrZMb169eLBBx/Meq4KhRdK6DR8QZVnV6hxmC9eB8Hi9IM7ESltCLiCynJX7+arLpbllkywdbwv3S7hUGkG4H3h56E5steQ2c4+5AcgrSRx6CK0PDpU3nsbcASVjIcRgXxk0yzGrITax86h9EfOltjbBvXLqrJuwN4RxD6MUfdMnW+Cxt6OEV8Xp2BOAcHReRScnUi3yaFSKBTpcL9ARMc5VNKWxDfEia2NEd8Qd+4yWxpvxfxcIX9bvqqTW9HEakrbdahEnhwqr9iqGcYXMHlyqPy8JVtzncP8hfw8h0pmEfJLqahup3HVPIdKK2z6WGcjXIfKE1RW0wVJucCsBKPsKoJj/+Bvk/Gw24D9KszK3M0l9mGM2sdqkbtTrx1yt6T2sVpiH+avwG1n0u0cKoVCkYybQyU6oqWJc4db88C8lAuhKBYt3uHKeA1edM+rAC/j2YkYaacLjWYfGpDxWoR3VRP5FVS+Q2WGAedLVuRLUFlJYTYN8hvyy96hEkJDWoZTzy2NoBJ6nTsuDw6VG2ITITfkZ+U+IV3aktpGjZ4Bggf+jfChd7e5AXtb51L3TMuOed2zdQRGZpn83w1Qgkqh6MZIz6HS2u9QeXe4ofGxlB6Dzh1uefPtN+K1EAZpGchoD4SxLYt2L20Tcc0Sr4WII+wQPZx96flyqNwvFSsEwnUtRH5CftLPW/KElOeY5aM5snvMbBwqcOaum8h07Xu8li96HnKoNKdsgoi4gsrMvaCyvrDSdmfwxJSz3blp6dQUBPCbTreE1wy+s+eSa1TIT6HozngJqO0M+UlbUvPAvJRmsoBfO6t++SJqHpyXNvzniScZL0TGvUaxmeUtJUTc9Snb2xqmkFaNO6cICDeHS8tTfplb1FNa4SQBk6+yCZ6g8hYKuGUI8jEf36HKVlC549O0qvFXlmq5d6iE5iWlO6vYZD4cqtrE57JhxQI3b69jGrBnPZcMj5GLueQa5VApFN0Z4Vy8hd4+QeXdVSbf4YaPuA6h2a3e4UrTdYDihWB5gqp1V8gTcclhiuQCqG0JU0iz1p+L0N0vujw5VJ6gckJA+XWoEjlUhpvQnb+Qn3TztqTMzp2QVsCZu0wzZ9eh8t7znNL4mHbuc6hEYeLzEZ6xBKFZKQ3Yvc91mxqwZzuXDI+Ri7nkGiWoFIpujVdBun05VMl3iw0rFhCeea1TRNHWWr/D9V2hQqTpfLlIu3WHKr2Iux6hWW0PU7jHlVYEdCcUg5GZW9bReA17scMIL+Sn5alsgidCZFcI+bkOVbYhP3fufh2rJITh3lDoecihapQIL+3cO1T6YL3VRs/RdxdiDOn8r3xjiIEoFi2G/USJyMlcco0K+SkU3Rk3xOEl5baV5LvF8IwlfsVnodlEjl2YGJguRcVzo8xCsN0Bdus5VCki7rWfICXunXWg7WEKL2/JLEjktuSrcrvtuFHSDiM9AZMnQdUk5Cfy51AJr1RDlg6VH/Jr7FBJCQFHUAkj9w5Vk2PmQVBl0p2h6Mybc5IELjRBwZyWc9kKjinY4xLSQQkqhaJ7o7kXLr19DpV3V5l8R+sRPvRPfk5V3T/rMCsXk5woLn1XqBAs1xWSrQu8FBE3y2moCiCMuH+8xuNaI3kuwnD75wXyFPKTrmtih3yHSuQ55OeJEkH+HCo/qVxmV/hVegn1jQSVhuXnL+XDoRJGUeqGPORQQXJ3hoUp26PvLmx+QUknERwdpPCUQkRx6mdXlAgKTyncY+tQ7Xmem0KxN6F7DlX7cqi8O1yjrJyG1d8jPOluAH+perLIarLiT7pulFWY6GsmW3eoPBEXGn89kWm3+9tjHx/b9jCF7YonO4LwmsQGapHSRohc3z82+HNB80J+eQixQSKHygubeQ5VXubThsKeyeMblU0IaEl9CgN5yKFq7FDJfPXxy1F3hgwJjg4SGBnokHIo3QXlUCkU3RlvVZPR/rIJ3h2u+cXXALCqBzh1fwC7oQhj+PL0K/6k6wrZhUjb+3JpPcyWHKaIvnOmv93esW/bwxSeM2YV+oJKaDaYHVGnK0tch0ra4YSg0vPlUKW2exFuCDI/q/w8QdSGsgkpz3cIap5YFHlp+SKCjRyqvAkqh3Y1et6D55ILlKBSKLozvkPVMYU9jbLFBEZuAsD6cjL1Lzm5GFq4hsDQlX5+hldHBkg0H5ZFCYcqw/55CRF3tL9N6/2/tocpXHGHXQiBRB6HjOWhcrt03xOZKJsgtDyH/LxEcN+hykPrGRolyGeKTJ9DZXhhy3hBHlxIEHoIaSXEocyzoFLkDyWoFIrujFfIMFDv9LHrAIS2EQB712AaXl6UqGnT7Io/V8TIQsC9WxeZJsk7Ii54cELw6H3+R+nFpRhli8m+95jrlskIQjOQMef1ybzQaEfiCapQkkOV35Cfn9it5XGVX6PwY8a4DlXjwp6G7pZhyENBTR8zKXdL5qOfoKIroASVQtGNEa6gEpqVvsdZW/YZcQVV1WC/po1zDDt9srhIcqi8RrHZtnuRX/n/1Uo3pK81lBFe6NMt3+AVGjXzkZjuzSWC8HOo8lUp3UsEb+xQ5WPVofPeiixDfr4Ak6mumu9QmfkTMv7fGTgCWrFXogSVQtGdMZK+ROId0yBZK3QElT5otZPftPb/ALCqBvpV1FPqyAgvX6rAr04utCxLFYjtif/qJnb1Z22bvEh2y0jUxbLy6VCFQXdX+eXNoXKrePt1qNxK6XlMSs/aoXLHC5k+KV1aeRRUZnKZABXy21tRgkqh6M7oQaTtfIz93nHtRBR+AUDowEedauVvXOg8YOvpk8U9ESOKEq1wtCwdIbEj5Ve77sM2Tj5J3AGYbggyg8rtHY5fIiGM0Nwv2TwlpfsiRDYK+eU1hyq7sgne3JuE/DyXLY+CCjN5pZ8SVHsrqmyCQtGNEUJzmrEG6xJtV9qBjFajRXYCYG77BdE1C/2cKq24gui7CwiMDaYkiwtPPIki0NxSBVkWGhWG41BJKZyiovFP2nYCfu5WY4cqH4LKWygQ9gWM0E2ktBAiSzHRXholpYu8Fhr1HKYsV+T5ZRYaJaW7LlteHSo7+dhKUO2tKEGlUHRzpBlGBOvAbH/Iz65Zjx4Cu74HRt9rKf2JJL5+OADCiFL8fRO9cHHqk9zmw0IU+W04hJ6duBOG41DZO8ag934fRNsElR9q9Jwyr7dgBpXbOxyRlENlJH3JWrHUUG0OkDR2qNzwWV5CkJ4r1rbWM01W+blJ6X6V/nxgJTlUQiWl762okJ9C0c2x484F3O8d1559NTi5S7J2CODUkQnuV4xd18sZ0LC5yXO85sNSK2x7/7ygK6hqJjv7DH2a7dQdNLcFiXDnYXuV23PffkZ4DpUIp9ZHMvMQ9msc8tO7Qsgv2/v59A6V7rlseWj54mOpHCqFElQKRbfHXy7eETlU5ufOPhuGpB6jvr/zM9ZUUGG4DpVWBLrrUGXZP08Lu6v8xDTn98I2CirXGZPu6kfpC6o8OFRaekElrXzkUTUT8tPzEPITnojLLuSXSGJvJKi8sgn5dKhkkkOlKUG1t5K1oPriiy/48ssv/d/feOMN5s2bx1133dWhE1MoFJnhCyq7A1b5yQ3OD2to6uaoK6jim5o8RRhufpJelOifl4VDJe04IlwNgFZ8uPtzc5uKcXpNooXmtcDxqljnIYfKLZEgRAQh9ETxRzt/gsoXJV7IT7M6rH5ZtnOBbJPS04f8dC/RP4/1n1LEnAr57bVkLajOPPNMXnzxRQC2bt3K0UcfzRtvvMGvfvUrrr766g6foEKhaBnbFVQdEfJD3+j+p5GgMge4B9vS9DmueBJ6UaJRbLA24y9qWe+4U1IKtNL9set6A2BVf5zd3CGRDO8LqjbWxeoI3PCjFJ6D6JROkHkRVI3avSSHIDuofln2c2lb2YQmSemeyybz6FCROLYQyqHaW8laUK1du5bJk508h7/97W+MGzeO1157jQceeIB77723o+enUChawXa/qEUHOFRa2An5oQ9rdBBXUImmgkoEXBFjFCX65wmZcf88Ga10fjaUIrQA9u79nQfqs09M9+eieyGY/DlUXpsZ4fZblJYrYvIR8mu8yk9LElRWjsN+fsgvS0HlJ7GnCirNF1R5FDIpIT/lUO2tZC2o4vE4oZBzAX/uuef45je/CcCoUaPYsiXN3atCoehUpOk6H7L9DpUocGpQidCwRg84gkroqZ9xaZuIgCOcRKCoTf3zZNwtmRDt5f48wPlpZe9QCd8tSxVUWRca7Qi8/opeTo3tiBhp56FRM41EjJ4QMzLXgqqxW5YxnghsHPLzXs98OlQqh0rRBkE1duxY7rzzTlasWMGyZcs49thjAdi8eTO9e/fu8AkqFIqWsfweZu1zqGS8Fq3QcYu0on1TH9QHOj8DjW6a4gmhIoLFTv88b9VhhrWffEEVc68f9gj3+R8T3xBH2rK5p6buR9oQcFf5Bbyegu7PbAuNdgBCd98P7wvWc6jsPNZ+8oppaknuUK5Dfp5DJTrGodL9xPp8OkNKUCnaIKiuu+46/vjHPzJr1izOOOMMDj74YAD++c9/+qFAhUKRO7yQH+10qOyaDc5uokWIcM+Ux0TAcai0cCOHKu64UNLW/fYqMu46BfEMRYy93d33DszKxcTeHeb+vo6av9ZQdWsVZuViWm2UbMUSfQcNz5lyC43mxaFyQ37+ikNXUMk8rvJzHSohtKQk+dwKPCHa6FA1k0OldQWHSksIKqGrkN/eStaFPWfNmsX27duprq6mZ8/ERffCCy+koCCflqtCsXdie85Hex2q+g3QE+yaoei9U++1RMRxqERhBVLaToV2QHqiKV6ACLnPiRcCX2Vendx2k9LjBRhlV2EO+D4AWq//AZLQ+CUYZeXE11+OMVQmWt40nn+8BuFd0dzQo/QLjebBoTIahfw84ZsXhypNMU07ALqJzPl82ppD5fUhTK2dpRmuQM3j6jqR7FApQbXX0qY6VFJK3nrrLf74xz+ye7dzhxoMBpWgUijyQEshP2lL4hvixNbGWgyfSVti73KKetq1g5uM0wr2AZxq6bIh0XdPmq5DFS9KbPOqRmfc7sVxqOL/m0H98kWEJ/8JKUGLVBE+8mois8qpX76Imvt/2rJbZda5xw8gdK/Vi+tQGR3T5zArfIfK/YL1HKp8rvJLLqZpuQIl5yG/tuZQeQIsVQAmBFX+vn9k0rGtikDGYWrFnkXWDtXnn3/Osccey8aNG4lGoxx99NEUFxdz3XXXEY1GufPOOztjngqFohls74taJAuqxZiVUPPAPOTuxMVdFAuKzrrZ7cW3OGVcaNJ6AKytg6l9vCplnDAi2PU90SI7kXWbIdLHPbhbJd1MSkbPtn+e5gg0WdOLhlfnAxCZVe78PPwW6pdfSsOKBQCExl+PUVaOWXllSj9B57juXOIF+K3y3Mrtfq2sHCFtE2G4X/y6W9ZCuknpeQ35JRUYtQMIyL1j5gmqrHOovL/zRg6Vn/yfD0HlfH6ir48nMNjZUvcPGwJVjT5nir2BrB2qSy65hEmTJrFz504ikYS1+a1vfYvnn3++QyenUChax7KaCiqzEoyyqwiNvz5lrCNIrsKsbDpO7+HUoLKrBjUZByDrnDwqGUsq7mm5uUlmUsjDdaiEnVnektAdh8prb9OwYoGTk+USGPs4BKsJz1jiu1W7/3IJsfWxFCfAbw6dJO4SDlWOc6iSSiMIb+Wj7Za3kPmsTp5UTNNtNpzzkJ9w89xEdpXSm2s9o7mhVZEHQeV9fox9H/e3STOU9vOj2PPJ2qFasWIFr732GsFg6odh2LBhbNrUtIqyQqHoXCyvDpUb8pO2dByn8THX6ZHE1x1DYMSzRGZdS/3yRUTfnUfJRXbKOKvKyZPS91lDaOwT/rjSi528JRnrB3yAjCfaz3gulExuDmu7DpXM0BVyGyPLekdQhWcscSp4WzpCtzDKPqHHwmEIAfXLF/luVe39tYhiwfiZ/0LTViPto5z9JAsqr3J7sG2CStoSc6OJrJGIIoExxGg2hyvleWZ9woDxGiN7Akbmo2xCmjCbnb7yeKejOceT2X79eC+oSJ2v8EJ+Oa7/1PRz5hCeelvK58z7/Cj2fLIWVLZtY1lWk+1ffvklxcXFHTIphUKROabnUGlOnpC50UTulr7wiMwqJzLrWiBZkEiiq6NNxgG+mPLGmRtNAsMCyLiTR4Wd1M/PE00pgqoo9bFWEG5jZGn3SXGhGlYsIHL8TwlP/AvC/T7SB7/uOBzu8v/Q+OsZOuHPxCsuR1hNHSoCXsgvirRifm5V62QaMm0Gq8E9Jx3hlSiQblI6+XCovGt2Uv0pX1DlqbCnaFsdKtFYUAW88hS5daiSP2civJPwYXciJb6Yavz5Uez5ZB3yO+aYY7j55pv934UQ1NTUcOWVV3L88cd35NwUCkUGWN4Xo9fqpCYhABpW/Bzp/iptzRdPAHJnYlz0ze8ntpuB1HHe/tJVS/dEk50QVIm+ZhmG/ELOKr/IEf9OEVMAcvc+KWOD+71IydwJiOLNvviqW76I2ofmI90Qo7SSHKpgUrJ8pmUcyDxk2hzSTZAnnuSayHyWTeg6DpUviLIVVN74Jg6VG/LTcyuokj9n9ct+g7Q1hABpBtN/fhR7PFkLqhtvvJFXX32VMWPG0NDQwJlnnumH+6677rrOmCMAO3bs4KyzzqKkpIQePXpw/vnnU1PT8gWyoaGBiy66iN69e1NUVMTJJ59MRUVFypiNGzdywgknUFBQQN++fVmwYAGmmUh6fPzxxzn66KMpKyujpKSEqVOn8swzz3TKOSoUbSHhULlfLEWJ8ELk2AW+uyM0m/CMJf5jomfSuON+Djj99IQRTx3n7S9dtXRXUEm7KGlb5u1epG0iwrsA0HsXYFZeScM7zpdRsltVv3wR5nanJY3e40tKf3KQ/1h0xQLkbold5VZmt5NzqEJI0319MhRUXiinfvkiIrPKCX/tagJjHid8RHlixeGD81peyeU5VF6pBEg4VHnIoRJpyyZ4qw7zU9izzTlUTQSV61DlWFAlf87CM25AaDbSDCKMWPrPj2KPJ+uQ36BBg3j33Xd5+OGH+e9//0tNTQ3nn38+Z511VkqSekdz1llnsWXLFpYtW0Y8Hue8887jwgsv5MEHH2z2OT/96U/5z3/+w6OPPkppaSlz587l//7v/3j11VcBsCyLE044gf79+/Paa6+xZcsWzjnnHAKBAL/97W8BePnllzn66KP57W9/S48ePbjnnnv4xje+wapVq5gwYUKnna9CkSmW7ZUIcFwRY4iBKBaExl9P+NC7/XF2tNAP60XfXUhoUojo61FC468nNO4JZ/ub30fW9UkZZwxxLxOa6xalVEt3XajkXmZeTR7ReqkC2bATrcBtoqz/FqMsRI9LJObGKwkMS3WrUkKA7pdXshPgJ8hbqV+sMl6IMGJ+iQd/ezP5UelCph6ZhnKk11cxSVBJP+SXe4dKpqtO7pZQyPmqQ61tldJFmlV+UtqJ1kdGbgVV8ucs2Vn1bgSg0edHscfTpnfaMAy+853vdPRcmuXDDz9k6dKlvPnmm0yaNAmA2267jeOPP54bbriBffbZp8lzqqqq+POf/8yDDz7IkUceCcA999zD6NGjef311znssMN49tln+eCDD3juuefo168f48eP55prruEXv/gFixcvJhgMpoQ3AX7729/yj3/8g3/9619KUCm6BKYf8vNWO3l5PuVYu/uiF29zHg7VUv/yz4jMKicwNohmLPbH2bW90Ap3YG44gvjHJwD444S22Nlv0PmcaeGtSUd3XZ8UQeW1fcnAoYpuhwK3OrvbI1RogsAwDbPySqJr5gFJK/mSQoCeE+CLKs+pSJkLTqHRyM4kQZU+P4oIFJ74O4RhAY5j17BiAeGZ1yKEbBoybSmU4woqaSW1IfErfedeUCXyjpJyqLz5SLPpEzp1Mm0L+Uk/KT3J4bPjfnV8ciyokj9njYU/NP38KPZ8shZU9913X4uPn3POOW2eTHOsXLmSHj16+GIKYPbs2WiaxqpVq/jWt77V5DlvvfUW8Xic2bNn+9tGjRrFkCFDWLlyJYcddhgrV67kwAMPpF+/fv6YOXPm8KMf/Yj3338/rWCybZvdu3fTq1evDj5LhaJtxD1BpSfKJhhlYG69GKP/bUhbcyuZ12B+fiJmZZFfw8koA7NiHka/m5G2hvn54YBzZx0YG0yp9STCbnHPwq2JaunCy5NKCvkJz6FqPYfK7+PX0BsRSn5kMUYZlP7EKUxa9/c6Qoc6TkB84xQCQ1ZhVowhMqscCcTWLEQUuIU9k0J+0pbIuDMfq7IKvbfE+srLj4r5Ce4NKxYQnrSE4AjnyxGckKMxdAVCOMLJC5l6X5gthnK8BshWsmufz6T0dGUTXGcz56v83Llo2TlUvgDTkuYbr4ew93DuyyYYZaQV/uk+P4o9n6wF1SWXXJLyezwep66uzq+U3hmCauvWrfTt2zdlm2EY9OrVi61btzb7nGAwSI8ePVK29+vXz3/O1q1bU8SU97j3WDpuuOEGampq+Pa3v93sfKPRKNFo4i60uroacF6reLxjL17e/jp6v90Fdf5x36ESRj3xuFMN3friF4jaWzD6g7llGkJvwOi/muARG5E9foXzcsWBX2HX/wUDsCoPJnhMP0ShQB+sI7XkcSCDfdFxVszFdlciwr18F8qWBf57YEv3i02rafV9sRsqMAA71gurmbFisKDwnJsI9HPETnz9EQTOOw699AvqX1pIwaxy9JEaNLiukCzAsi7H3i6ofWg+Rac6gir+353UPbOL8KExZM10R5ytn0Fg+AqMoa8QGL4ibdjGn2tdj0QoZ81C5ADZ7PnZZi0GTg6VN0YmlU3oqL/XzP/+HRFjS90fK9yQn2XVI3P4+dFdQWTZIqvj2l5jZ5G4jprRaoLFzoKLuC0QOb8O/Ap6QMGPJNYXFrJWNvv56QzU9a/zzz+bfWctqHbu3Nlk27p16/jRj37EggUL0jyjeS699NJWE9k//PDDrPbZmTz44INcddVV/OMf/2gi8JIpLy/nqquuarL92Wef7bT2PMuWLeuU/XYX9ubz7x1wBVVoJ5vX/ojQM78mFA9RdPa/AWh4fw7B8Q9gANsrXmf1mqKU58884D+EgB2bx7Nyo/s6vp/+WN84pgdaZBerX/knlbG+HDVuBwFg0+Yq3vvvUwCMLN3GqGFgyiqefeqpFuc+rte77DcEYrXFLHut+bEjR35CZPP5hF7/CaF4AHt3P7TiChq2jGfbO+dTH/mUPjGDPsDOHVEadm5h6IQ/ExxvImOuYxasITRhCZHpjjAzN00iMv1mpITA8BWYFaOJvnlBiphqePN8wof+2Xl9w9XUvbSAglnlbCvdxktLv9H8fEs/ZNRgMGM6z7ivwWGD6+g3HHbv/opXWnldsqW1v/+jx9cRADZu3MwH7zrHnn2QUwnqyy/Ws/bdjp1PS3z9SEfcvbNmLRXRrzJ+3r5F6zlwMNgyytPu69fT2MkRJwBmmKefXtoZ020bzXx+Oou9+foHnXv+dXWZt63qkGy5ESNGcO211/Kd73yHjz76KOPn/exnP+O73/1ui2P23Xdf+vfvz7Zt21K2m6bJjh076N+/f9rn9e/fn1gsxq5du1JcqoqKCv85/fv354033kh5nrcKsPF+H374Yb7//e/z6KOPpoQR07Fo0SLmz5/v/15dXc3gwYM55phjKCkpafG52RKPx1m2bBlHH300gcDeV+tEnX+cN174u/OLZjJ0wp+pr+pLdPX3MIasBCBQvIVQX+dzWdavmuMnJMqbSGljRC8CoLTsWxw/7tgWjyer+0NkFxP69YeS2QQivwNg4KARDJ7s7Nfe6oQ+gqFoq6VU7C+db56A1r+Vsc5jcozjBMQ3n0Bo5N0UTHyGD1+9kIOmHkSw5McA9OgxkPp//pT6qr4UzCr3VwcGxzxOcNTTvgtVcNzPAPxVkEa/Dyn9+b4IAfEN0zE3zMDaNgY8QaXZmP/7NvFRYQYdJNlnXPPztTc5dRUMrcg/L/nlagCKS0MdVmIm079/sf1GAIYM3ZdhU91jV/w/AAYN7s+Qw3JX8kbEHUE14ZBD0XoelPHz7G1OJw7dsP3XL779HcAp5ro3lu1R17/OP38vwpQJHbb8wDAMNm/e3PrAJMrKyigraz3IPHXqVHbt2sVbb73FxIkTAXjhhRewbZspU6akfc7EiRMJBAI8//zznHzyyQB8/PHHbNy4kalTp/r7/c1vfsO2bdt8x2nZsmWUlJQwZswYf18PPfQQ3/ve93j44Yc54YQTWp1vKBQiFAo12R4IBDrtTe/MfXcH9ubzj7mhEKFb1C+/lMiscvR+/0VoNtbuvoSn/p7YB98kOOafaKH/YQS8liOS+CcfoI3ahDSDBMq+htbsa+gkcts1/dB7f4T9xZfE/ttA4HtOyM/ouRQ98D0AzIB702DUtfqexIXreMvemb9/+y/G3OLkKAUGPM3oL28g/rc4wZOdnC29+DXk7nlNVukliym9/38JTrzHfR10pzK7dMSVtALU/PWfAIQOuz3l0JFjNhHod7VzHJ1miXuJ0zLin1fcTRITIt7hf6ut/f2bbt6Spof9caaboK51wnxaQlpOCMUIRNCzOK7pVZzXEvO1vdfZDBMo2Ds//7B3X/+g879bMyVrQfXPf/4z5XcpJVu2bOH222/n8MMPz3Z3GTF69GiOPfZYLrjgAu68807i8Thz587l9NNP91f4bdq0iaOOOor77ruPyZMnU1payvnnn8/8+fPp1asXJSUlXHzxxUydOpXDDjsMcIqUjhkzhrPPPpvrr7+erVu3ctlll3HRRRf5gujBBx/k3HPP5ZZbbmHKlCl+blUkEqG0tLRTzlehyAZTJj7wDa9fBAhfROjF25y8o/99zRFUhZ+RvMotMOIZgqPA/PJQap80KTprcdoq4F6hS9McB4Aocj4HWunnAMjaIHjmq9+QOIPCnsJJSkf2yfx8K8EY8CB2PIRWtA194JtYXx6G1vc9Z1f1ifpGTj7U9QjdEUzmloMBSeGp30EIMCtGE//wJIIHP4De0+llKPS4n3yu9dyQenDr0wxn6VVKT1rl52XdizwU9vTLJiRUYGKVX66T0t1VeVknpbuh7eQ6VJa3mjIfjZEVilSyFlQnnXRSyu9CCMrKyjjyyCO58cYbO2peTXjggQeYO3cuRx11FJqmcfLJJ3Prrbf6j8fjcT7++OOUeOfvfvc7f2w0GmXOnDn8/ve/9x/XdZ1///vf/OhHP2Lq1KkUFhZy7rnncvXVV/tj7rrrLkzT5KKLLuKiiy7yt5977rnce++9nXa+CkWmxO3Ex1gYDe5S/3LXbTH81hgAWvEWzIoYRr9yQuNj6H0/AMDcMMOtAl6OWXllyuqkdD3LtKKthGcsQStyBFH98nMpOs3pWSYMN0cr0LqgErqbQyN6Z3Su6eYSHPUf5PAVGH3WARBdc5I/PjxjiSOmbIHQJEXfPhNz06HoPb5EmgHi/zvS349VPQC9ZAvWrkEJQdprPQB2bRlaYSXwv4zmidevTyYJKr91Sj7KJrjFNEkqpulVbu/EpOm0uEnpIss6VH7dKi2pzIPtXu+Ty1MoFHmiTb388kGvXr1aLOI5bNgwpEytCxMOh7njjju44447mn3e0KFDeaqFBNHly5dnPVeFIqcIDWmGnCaxgXrCk5YkqqPrpu+22PVOQnndM8cTGOKEwuyYs6xflHxJ+JD70zZ0TS50qQ98k+CI5whN/n8IIbFjBWjBOuzqAr/Qpd+QOANB5TVGFlpm68uT56L1+ZjQuMcJHXYHQoBVNRC9dBM0RBAFgtDEpIKLr86j9Kcj0Qp2ERiyyt3XNCLTnGtD/fJF2HW9KTz+52AF/Crpdn0PAOwdR6EVPowIZOpQeTWxkkP/nkOVx7IJKbWfPEGT4/m0sWyC0LyOAEkCULqlMpRDpegCZN16RqFQdD2k6dyhhw+7PbWy90sLnPYpM5Zg79wXAC3yGQ0rFtCw+jy0YD1S4ouphhULkNVOFXB/3417lkmcQpdWwK/RRKwwMS7grKoTuom0WnZjvMbIGBk6VElzqfvnHYm8J1tHNvRwxsQKKPjmjal9Ae0AVbetwY46c5MSAvu+RHzDdH+Mtc3JmxRGlOi7CzG3XYYIVbnjj3EeK8jQoXJDfpBUh8prtaLlIeSnpRFUfqg4dw6VlBZCs5vOJRM8AZYiqFzhaiuHSpF/MvqLTl6x1ho33XRTmyejUCjaiFkAVBGecpe/1N+u7UPDy4tAGkRmlWPtGAuA1tMJY8mokwPYWkPX5AKWwTFPJrlfcdDdGkuxQvBMAj1RqTz+2U4C+/Xz3a5kpC39xsjWrp7o/WTaccmk9E+bdmtSn0IrcV7xCHZlHLP3TEQ4yVGPlVD9+zcpnTfWEYRm0E8+B9CHOivOtNLNFH/fBPNchPZrpBlC7/E157HijUgrhtBb60PXNOQnhFeBMg81g0Q6Vyj3ggornvjW0duYQ5US8lM5VIquQ0aC6p133sloZ0KoJpAKRT7wHCpzy3mYX8yGQ/+MXT0QSFRtFgF32XmvzwBJaMK9znMto0kbl2Th0rhnmfnFJPR93kHoVuL4sQLsbVdg9ngd85PDCE1ymsTWPVUJMuy26AAn2d1Lir+E0osdh6r+mQLqn6lqNK4pjefiFeYE0IJuPk28EBnTMHq9BPvOJHx0mIZljsAJTfirL6Yan3NweF/s3QPRijcha94DOwqlYO8eitZjMDIeRgQasHZtQO9xQMtviPCq1icEldTy6VClafci8xDysxNiyA/hZYg/Xk8WgO57LpVDpcg/GQmqF198sbPnoVAo2oPf4uQ0Qod8DICMDqTo7CK36e9i4huHoPd4Ba33Z0SOXYBWsAtpGexa8hnhw/7QbEPXxj3LAIzBq1MOH556B3q/1zB6rUD2s5ExpyGxCNYSHJ2a7O6tGAxN3I3QnS9YWd+L8NT0SfHJpOufVvD1uYQmJPIrI8f9jMDg1W4+2E8puSjRBLq1JrbWlrGOoGpYCziiUtYNR/TUsar3Re/9AbJuHbQqqDzRlOxQeb0K85eUnjaHqgMcs+YaTTcdF8PfqrU/5Ce8XDVbOVSK/KPaYCsUewDSFVTSrgO+dDaKwQSGJsIqIjwCAL3fuwSGvgJA/JNjIV7UakNXr2dZwzuXOP2QA7VEDndW2UoziDF0BYHhr/iOkd3gJKaHDv0j4Un3+snuJRfZTVbpyVgB4am3+2KncVJ8Y/y5rHbaYNX9+3b0wasw+jj5TZ6Ycs5JYn1pZdzEVsbHAc8C7/lNlqXp5J7J+n2BD5DxdU1f/0aCItFXMTmHyk1K1/IQ8vNKFaSsrPMcovY0R07faFoUi/RuY5JDlXXIT/NCfraTiyV0vOR/KSMtPFGhyA1tElSrV6/mb3/7Gxs3biQWS7WLH3/88Q6ZmEKhyAI3KVfY9UjNFVRyUMoQrWik8zO8G7u+FC1Sxf9v787jo6rOx49/7p01ewiEBJRVUHahUCAqSAVBcZdv3aiC8sNqWRQsCHVDrI1i61rU2qq4YLGoWKGKRJFFQEAwqICIIkSBAArZyDLLPb8/7sxNhmyTkGSS8Lxfr7zI3G3OmQyZJ+c89zmenVdY+6te0NWsTxVzpYfjrx+neOUc7Kd9jqPjerB5cHT6tMKRn2AwFQxuSj4vse7S0+J+wt3/NXAUhiaQo6w7BitmtiV6VAmF75pTPscXv0b8bedUmg/m6BjmIra23ubr6P4avMGNZ5jX8Z0ReFw2oKo4oIi5xpxi1GM+Rhl3mcFhI5jyCy1VcPJTftZoY19PyGteWQkOjEDOndICAVH4QqYI/V6w2yid8pOASkRejQOqRYsWcdNNNzFq1ChWrFjByJEj+fbbbzl06BBXXXVVfbRRCFEdIzBCpQrRnPvNbbayAdUcjOMK9Hh0dx56VC7K58L740hirnsCW7JCj59bbmSqnDKVEAr+8waJf+yEpquQIMasg/VI4E5Ae2hwc6w06PD/eA70f63apPjK6HGlNyk7uy+16m5VnA9mBmEJUyuamirtsxZtJqbbErZjFHQwt9m7BHZ2CTwuvdOvbECB5gdlM8tLtDLre/l/tpO/0MwN02N/NM/XI1g2Qa+7Kb+KaoKVDagrHG0MjlD5HTX/9Ck7omV4ATdoFdxNKUSE1Lhswl/+8heeeOIJli5ditPp5KmnnuKbb77hmmuuoX379vXRRiFENYJTfqhiNLc5QqU5Sv8/mh/8c1Ge0lwT73cjcJ/9PM6uD6G8tmrvsIMT7rIb+A8rmAoGMRAophkopxCsg2Wd36LMHYN9XzObbOgh55/4PJWxEtTLfIDn/OWwVUPKPeQxtHitXD6Yo6MDZy+nWTPrhD7bEnuaQZk7Dz3JDIq06EAg5ewaeLwn0G4zoAg+n739BqKGpRP7uyuwtTTvOPTsuCowWvMg/vxAO2wNH1BZd8aVHaEKlnGoZUBVtiZY8DVIvCc5ZLSxXAkOFei7UYtlQsrcoaj85nU0LVjIWXKoROTVOKD6/vvvrfXsnE4nx48fR9M0pk2bxgsvvFDnDRRChCE45aEK0GPMNTW1qHbmpjIf/Lb47NJTDJv14Vfwxp0oo/pRoWAQU3YUIic92/pAjf3dFUQNS8fzrVm3yfdzl5DgxjXAZZ3v6LgegKKP5lYZBFVG0zVirn+c6GHlc6Os9tzwZFiBonVNmwsjNxBA6X6U0tDjzBwqLdoMqPT4vZR8VUjxpuLSgGL1TByd1pr1rTqttepdOc78wHqdipZPMJ8kEiNUFdWhIriUS+3aU3YU0bP9avNaur/q0cbAlB9Gzab7gNDRteB1AndTKuQuPxF5NQ6oWrRoQX5+PgCnnXYaX3/9NQA5OTkhy74IIRqOlZSr/YTmCObvmAFV2ZEE795zAseDq8d7lY4kVCZ4l11UBUFMMCHd+8MQSjZMNY+3eUKCG92uW+f7C8zkGv8vXWodBOmtFPu+mEBJ5syQ7SXbZlZ5t2BVjOOlC6Orgjagu4E5qJIF5miczUvxJ7utUgzuIY9h72AGh8HKMbrLnBt19X6r9DXOd1qvSYMLBFRaRXWoajlCFTJaOezPpdurGm0MTPmpWoxQaZqO8geCqmBApQeT/2MqPEeIhhT2LPbXX39Nr169GDp0KBkZGfTu3Zvf/va33HHHHaxcuZKMjAyGDx9en20VQlQmcNu4ZjcTpo3jrdFjzL/ay44QFG+4A0fH9bXOW4LSu+xOTPD2HzoHLUHHf2gw/sPdAbC1yKJk++0hid/m+fdhS/yr2dZfzBGhqpPiK+m2cT+ZWe9z8e3RaAe1SnOjwmMmmPt+6I6jXaBPv3Ti+Iu5xN60Cnvr1RjHW6LZf8F9/iMUvvesNVKnjECJBaWVVo8HlN9hvcbKHwgi7A2blK6UYZWnCCnsGZjyU34v3r3eSksdVKZsTTBXz/9a2z3fXVCuHEVpWwLBpKrlDeaGA2w+6zpaMKDSZIRKRF7Y7+o+ffrw61//miuvvJLf/va3ANxzzz04HA7Wr1/PmDFjuPfee+utoUKIqgTu8osx15pThW2tP9pDinS2yTT3V1DYMpy8JVNlCd7paLqGbaDClurDyG+DHneQ2DF7sSfPCTlfd+1FczyE8jtwn98NPc5ZyyAo0MdAbtTJCCaY+7P/z9pmHOto5kAlrQ4pIuo6exF6/H6rRITuzsd/PAlbzFH8xzpga7HPzA2zeUtfY1+wDpUfZfjQalqHqbaUH6v4k24nGDh6vmyLoz3g81CwsKDyUgeVKFsTzH+0I7akvebTFSVZo43lSnCoQGBn1DagCpznD4xQBctT6JJDJSIv7Cm/1atX07NnT9LT0+nevTvjxo1j3bp1zJo1i/fee4+//e1vtGjRoj7bKoSolDnlp8fvA0CVlN7hV13eU03ylsqqLME7uN3I7xFoy5flzjWO7zT/zeuEq3dMhQniDalsnpmr91vWdj3hp9I8s9f/i/fHX5vHB3OlihLQ3fkovw1bzFG8PwzB1mIf3h+GoOkG3h+GWK8x0WVv+49cdfJg4Gjv9IG5MVB5PJg87zsS/qXN0cb70dy5pdtSv6x8ylUFc6hqF1BZo3yB65SOUMldfiLywn5XDxkyhCFDhvDMM8/wn//8hwULFnD++efTpUsXJkyYwLhx40hNTa3PtgohKhWY8gsUcFT+0oCqouriUHFhy7qkPL2Aj4HtFewLVHMv7AKN4O+wsnlmoIga9ghgLqBc9jUr+XwijnabS3OlosxAQrP5rRGssvW40Pz49p1nvsY9yvz96veAo4FGVcqsn6ewlSt1oOneqksdlFG+IvoDaM4f0KPnmiNyuoHeajfxv7ehu+eUb0uwDlVt7vIDa7kcZQQCUntwhEpyqETk1fjPhJiYGG6++WZuvvlmvvvuO15++WXmz5/Pfffdx0UXXcR7771X/UWEEHWq3F1OJxT1rCzvqTZ5S2HTewGgub6uYOe3ZjO91Szh0kBC8szWzsQ9dJ5ZkdvnCMkzswUXYA4ED0qVLi7ty0rDt++8cgGrFq/h6OnEllw2t6qYhhqPU4bXei7ffqzAUU/6DlefxdhO/xx7u83VFFatoiL6tbPMNQ+P9kRzH0GPzcafl4nuHlJBYwKjZaqWAVVwZCs4QmVN+UkOlYi8k5rE79KlC3/605/o0KEDs2fP5n//+19dtUsIURNa6GiHprc74YDwClvWaZOizCKZevx2MzFaKx2h0RxmQIXeOAKqkDvWhjwWCKZC88zKjuIUr51B7O+uMEslGDY0u8cq6gngvtCNLdZW7jVW/nQ0mxf8DZiYXmbKTx0vLVfg+eImXH0WW4tFV3WDQpUV0dssNp+msB9aSTZ6bDaqaAtQUUB1klN+RuiUnzVCZZMcKhF5tQ6o1qxZw0svvcTbb7+Nrutcc801TJgwoS7bJoQI14k5JK4TA6rAYXWQvB0uW2IvlKGjRx/FOJ6NFtPW2qfHmHcjaq5uDdKW6pS9Y62iBZTtHT4tN50XLBER/LfsnW3uge6Kc8J8LrB5UUYDBlQqOM1mQ48rDajsHddY31d1g0J1FdH9v5yBreX3KKMvGIcw10LMrKQtwRGqk7jLD6ypQ80WqJRukxwqEXk1elcfOHCABQsWsGDBAr777jvOOeccnn76aa655hpiYmQOW4iIOSGg0qIiv2qB5ojGf+wMbC12Y+RtQw8EVMpXhBZvLsOixzaOgCqcPDPf0fMpyZyJe0j5oCskV6qKfDRlOMzpt4YMqIzSO+tCAsfzH8O3vy/20zLxHexdYakDZaiQAqZ6wr7SGxlsPjOJv/9L5rGF/dDiDwOgx3xRYVOC5Q7UyQZUyotSBjgCtQ9lhEo0AmG/qy+++GI++ugjWrVqxU033cQtt9zCWWedVZ9tE0KEq0xApZSGHnN6FQc3HHW8B7TYHbjT72IAjNxvsbVUqOJ4tOiUyDawjHDyzBKmJmDk2fDsvo+SLdMBVS5Xqsp8NL9ZOqEhR6hUcHrM70CzhwaO3h+GEH/zaGwt91C05q4yASHlcqZsbb7A2cPMkdVsPpTPSckXNwbqcOngOxs9/igAeoudKH8JaM6QKebgHYW1zqFSZXKoDC+azQi0RwIqEXlhB1QOh4O33nqLSy+9FJutFssGCCHqT5kPFFXYGj3GFcHGlFK+XsB/QS9NTDeKdmEDjPwu2Nw1XqyhHlWfZ6bpYEt8CFsiOKbVIh/NHyid0KAjVIEpP2VDIzRwVPmGVUPKyO2KZ/d92JL9+A7r2FvPtXKm9JbfEnv9NWiuAuuymt1D1PAHzKf4+Uz0+Fj0uASMokT0qBy8B6dw/M15IUnszr6FONqBHr2/ln0J3OWnPCjvcbTgR1FD3TEpRBXCDqjk7j0hGjG9zAhVmaKeEWfrDYDm2m5V48b3DQCquHEkpJ8o3Dyz2uSjKSMSAdWJxTRLA0cj736MwnbY2IuzxyIK3njHPESD2LGfmNOAzjycPf6LHvMLAP5j7bG1yMIoTMTVx0xI9x06G0d3G5qm48/pgx61Bkebf+Lq2yokid3RxayorozaBdIqOLKlfOArKr2W3jB5gUJUpYFK9Qoh6lXZgKqkMUz3mbfZF2VchuMWsCV9Q86juWixduJufBsA5e8a4TZGgBEYOVQNV9jTWu7lhNpPmq6hvDYcbc3q7/bOq9HiDqDy2+I+rzTpPuqc+dY53n2D8f2Yhmvg8+jROSivE83hQXP/jOfzP2E/8zPwm4GO96f+Vl4WgL3DWhydPgXAf6QrelzFta6q7kxgQWflxfAUoAPKG4X/RwPVuRbXE6IONabxdiFEbZUpm2AUnY4ywluXr74Eb7N3dH4L5Y1CcxSht9iLq+88bC3Nyunq+JkRb2eDs+5Sa8i7/IJ31oWmapStDg+gaQpnr7dCykMUvP5flAqsU2joFLz6Pvjc6E4zaNIcgSTz462xpazHnrQanHnmPmWjaO00ooalm7lZnT7Fs+si88n9djPZvaY//0AOlbIvpnCpOWKGL4rifxeT+3QuviNzCGfZHCHqgwRUQjRhuj6Xvu2XUvxO6V/mvn0pEf1wKftBHTXsEYyiBABi/u8mooalY3jM0bTide1PuQ9BFRihUg04QlXZ+nllq8N7dpk3DEQNf7DcHYzBxZ413bBKKxStuSvkWkZ+G2tEy97arIJva5OJe3Dp6JZS4MtKMx/47RRn1CIICgSkjjb/xdnrBfO6XvP9VJulc4SoSxJQCdGEGT9rdOj3Is4eL5Ruyzstoh8uZT+oi1bNxhafDYA9ZSe+I2daoxv+o51PvQ9BZeZQaSoSdahCp/zKFu8sfM8MfMwin46QOlNg3jlatHqGVTKhePU9ePecH9gHUUMet0a0ilbNMq9l95SOYAUqyrt/85D5hIHgrqY//2AOlWfXRbj7v2Ju9LlDR9XeuPPUG/kUjYIEVEI0UcpQHP/3dApXzSZqyOPWdnvH1RH9cAldxmUGylf6QW5PNiukG7ltcQ9+9tT7EAwkpasGDagqLqZZtnin69f/LN1u9xL7uyuIGpZO8ZYbzVPz2lK8ZnbIgtoFb75hLsETWHqntHbXTJRROr1YtGoWBa8vQSnQ7WZblOGoXRDkM/vg23MBJV9eA4De8ruQUTWVZ959KURDk4BKiCYqOBJUEhgJCnL/6vWIfriUW8bF7kX5nKHHxB88NT8EVTApPQIB1QkjVMEin1bF86OdAPB8M9qavvP/eA5gjiYCFG8JvNc0P+60v5dbogeCS/f4yzyThm/v+RSvudva4uz9n9r9/P2BPuheVHGiefUwls4RoiFIQCVEE1VuJMgfSNiN8IfLiR/URatmk5OebQV95vTPKfohqIKBZcPXoToxKT1YHT74M/LuvtA8/GhnilbNxtFpLa5z3jBP9XUi9sZYEu5IoCRzJihbuZ9t1LB0a2TLu/c8ilaFjmgVr/2jNU1Y65+/FrjLz5WPs5855af89pCADkKDeiEaipRNEKKJKjcSFKheXdW6bA3SriqWcQmuiRdcUDiS7YyIiJRNCBb2LP/rvmyRT8eZLwKgt9pN4QeLcPR0orveAkBzdLVqblX3s/X+MISC1/8b8jzBXCzf/v44Oq9G+Ry1+/nbzDa4fv0CuqMEoyiB3L9+j3vI3ypcOkeIhiTvOiGaqOBIkLOSBX0hch8uFS3jUnZBYV9WmjXKEcl2NjRFBEaoCEy/VbjcS2mRT883PQGwJe8mYUoCmj4H3+H/mdMY9tKaYZUt0eM/dA5ago7/0OCQZyjOnAF2DXuHNTg6fXqS71OzD3qMucRNyYYpgB6y5mJVaykKUZ+a/28wIZopTdeIuf5xHCmVL+gbuQ+XE5Zx8T6Es2toO4NOqQ9Ba8qv4UaotOBaflUsSKzpGo72ZlV7PWGvWSdLd6PH/mDud3cpc3RlS/Sko+katoEKW2rokjz+XxzYkz89ifepWSjWf8SGo0OgO347JdtusBanLsmcXf1aikLUIwmohGjC9FaKfV9MICFzJpUt6BtJpcuz6NUuPHxKCCSlq8Jiayme+q7urag+oALQYtqgSuLQXPn4j32LFnM6erRZPNMWV76qfWVL71S0PZyFp6sSLBSrigZa27zfXoSr32tEDUunZM+9JAxJODWCctFoNZmA6ujRo0yZMoWlS5ei6zpjxozhqaeeIjY2ttJziouLueuuu1i0aBElJSWMGjWKZ599lpSU0hXus7KyuP322/nkk0+IjY1l3LhxpKenY7eXf2nWrVvH+eefT69evcjMzKyPbgpRI4ZxP5lZ73Px7dFoB7WaLdTboKpfeLh5C4ywHLLh6AhGbhFFbxegxQXzzcxj6kUlZRNOpGk6/twzsbXeglG4A80oQneDcbw1ekz8STai9j//YKFYV19PyFI2yhND1LB0ClfNxpN5F86pJ9lEIU5Sk7nLb+zYsWzfvp2MjAyWLVvGmjVruPXWW6s8Z9q0aSxdupTFixezevVqDhw4wNVXX23t9/v9XHLJJXg8HtavX88rr7zCggULuP/++8tdKycnh5tuuonhw4fXed+EOFnBUQFnLyeOjo5Gu6ZZU2lnXQuOsNhStpgbbOaoUcMUNg1vhArAKO5mfuPfCcXfm9sKOtdZS2rz8y9bKNa71yzjoBS4zn6TolWzKVk7A5V/ipTdEI1akwiodu7cyfLly/nXv/7FoEGDOO+883jmmWdYtGgRBw4cqPCc3NxcXnzxRR5//HEuuOAC+vfvz8svv8z69ev57LPPAFixYgU7duzg9ddfp2/fvlx88cU89NBDzJ8/H48nNMfhtttu44YbbiAtLa3e+yuEaD7KLsXj6LgeAM1e0nDVvVUwKT2MCQnjLLN9+i6Uf7d5WskZ9dOuMIWWB5lpVV0/JctuiEatSQRUGzZsIDExkQEDBljbRowYga7rbNy4scJztmzZgtfrZcSIEda2bt260b59ezZs2GBdt3fv3iFTgKNGjSIvL4/t27db215++WX27NnDAw88UNddE0I0cyFr5n3/GwCcfV9vwMKmweVfKrrL7wR2c4RKi9oFujlChVF3I1S1Ubacgr3dRiuYktpTorFpEjlU2dnZtG7dOmSb3W4nKSmJ7OzsSs9xOp0kJiaGbE9JSbHOyc7ODgmmgvuD+wB2797NrFmzWLt2bYV5VRUpKSmhpKT0tui8PHP1da/Xi9frDesa4Qper66v21RI/6X/Zf9tjLy5pW3zfnMZzjM+sSqMlx1h8eZ6rdm5sK8dRv+NMoU9q3udlMscodITdqP85qLDhtY5oq+vaqPQ4jRclZQHUUBJ5gxUG9Wo3wf1oSm8/+tTQ/S/JteOaEA1a9YsHn300SqP2blzZwO1pjy/388NN9zAgw8+yJlnnhn2eenp6Tz44IPltq9YsYLo6Oi6bKIlIyOjXq7bVEj/pf+NVUJBAmdzNgD29uaUn1JaucKWm77eRO7e3Fo9R1X97596gNM7QWGhh1Xvv1/ldXT8XHqpHc15HFurrQBs++Y4BzOrPq++9T1/KR36vUhhIGcKAqsDANHD0jmScJg1yy+LaBsjqTG//xtCffa/sLAw7GMjGlDdddddjB8/vspjOnfuTGpqKocPHw7Z7vP5OHr0KKmpqRWel5qaisfjIScnJ2SU6tChQ9Y5qampbNq0KeS8Q4cOWfvy8/P5/PPP+eKLL5g8eTIAhmGglMJut7NixQouuOCCcs89e/Zspk+fbj3Oy8ujXbt2jBw5kvj4k71bJpTX6yUjI4MLL7wQhyOMIf1mRvov/W/s/VeGovC5Qlx95+HqbVYeV/mpFG8dX1rYMnMm5/zfOTVO0g+n/+qnLwCIikpg9OjR1V7TyOuErcVuNLs5yt73nP+jnzupRu2qa7r+Od5D9+HJnE5I2YXMGRxJOEzbXim07VV935qbpvD+r08N0f/gDFM4IhpQJScnk5xcfQGatLQ0cnJy2LJlC/379wdg5cqVGIbBoEGDKjynf//+OBwOPv74Y8aMGQPArl27yMrKshLL09LSePjhhzl8+LA1pZiRkUF8fDw9evTA4XDw1VdfhVz32WefZeXKlbz11lt06tSpwud2uVy4XK5y2x0OR7390Ovz2k2B9F/635j7r4/9i7lcy/rJRJ3zd7TYwxR/av7RFSxsaXfNqfX1q+q/VzOT0jXsYb1GvuNnQQszId0oSsQZl1LNGQ3hIWwp5csuqDaKNcsvo22v0Y3651/fGvv7v77V92druJpEDlX37t256KKLmDhxIs8//zxer5fJkydz3XXX0bZtWwD279/P8OHDefXVVxk4cCAJCQlMmDCB6dOnk5SURHx8PFOmTCEtLY3Bg82lEUaOHEmPHj248cYbmTdvHtnZ2dx7771MmjTJCoh69eoV0pbWrVvjdrvLbRdCiMpYhS03T8adNh9N96NF/9JAhU2Dye7OKo8KUt6zgGUAGHmd0Vyq0ZS3OLFo6KmaOyQapyYRUAEsXLiQyZMnM3z4cKuw59NPP23t93q97Nq1K2S+84knnrCOLVvYM8hms7Fs2TJuv/120tLSiImJYdy4ccydO7dB+yaEaO4ChS2nKFRhK7SYI0RdnIPzrDMboLBpMKCyVXOcWXzUs/MMHIHBd+NIJwr+nVv/xUeFaAaaTECVlJTEG2+8Uen+jh07olRoHRK32838+fOZP39+ped16NCB96tJ1Cxrzpw5zJkzJ+zjhRAiSNM1jKJUiDmCLf5QvYz8KOOEabEwC3sGi4/6Um6ytvmPdgoUH03Hd+SBU2eJICFqockEVEII0RwoTyrwFcpXcVHi2jNHmAoW3onKL/3jMuqiEugIeuKmSs+sbHkXW/I3OLsvMyuSb7uThCmNZ/pPiMamSRT2FEKI5kL52gS+OVin1w2OMLn6zgvZbmuz2Xw6T+VTfmWLjxatmm1tDwZT9V98VIimTwIqIYRoSEag1ItWcVHi2ii7vE3UsHSrgrh7yGM4TjfXD/TuOg/DZ1R8fsjyLjNQfnPyQpZ3ESJ8ElAJIURD0swRKs1WdyNU/h/9ISNMUcPSSbynJVHD0vEd6GMe5HWQ91QeviNzODG5vOyyLe4hj6HZfLK8ixA1JAGVEEI0JNtp5r/Ouguo1PEyxS63jjMXENYVSgGBGEgZNlz955mJ50dCz7e3t6PFaSELNuekZ4eMeGnxGvb2knYrRGXkf4cQQjQgzWmOUOnuupvy02JKR45irvw9WuChpoG9zZcA2Duuxdnl4woTzDVdC5RGKF0rD7D+DRYfrf8SD0I0XTJCJYQQDUhzmcWItejDKFVxTlNN2drZAiNM83B0Xg3A8ff/ir+glXVMMJiqLMHcKj6aOTNke8m2mVIyQYgwyAiVEEI0ID0mEFDZPRiFv6BF102kEnPl4zg6PgKAUdgCz7br8Wy5mcR7W6FpCmXo1SSYB4qPnrC8i729XUamhAiDjFAJIUQD0uxujKIWAKiik6tFpetz6dt+KYXPFeLbV4L/lzMA8Gy7AXfa34n93RWBYMqGphthJZgHl3dx9nLi6OiQulNChElGqIQQooGpwjYQdQxVsh84u9bXMX7W6NDvRYpyW+P58nrcQwMBk+6zCnQGp/mCCedgTuNJgrkQdUv+RwkhRANTnhRgx0lVS1eG4vi/p+Ps6yN6WDr2Tp+gaQr/0Y64B/0DQBLMhWhAElAJIUQDU95AtXSj9qUTgtXNS9bOQMMgatijANiS9uLdex6+vUNCcqbAHJly9HRKgrkQ9UACKiGEaGhWtXQzoDpxQWMzEbzq3KWySeWeby63Airlc1Lw2nvWPvd5bmzJNkkwF6KeSUAlhBANLlCLKvETfEfmlFvQWIsL1oWCE6uaW8eUrW4+NBBMKc2qbh4cnbJ3suPo6KiXXgghSsldfkII0dCC1dK14xUuaOzqW3FF87KC1c1dQx7D1cMckfJsGS/VzYWIEPmfJoQQDSxYLR2/zQqAgJC78SqqaB5yDV0j5vrHcaSk4/+lM7aWe/Ad6oVn682AJJ8L0dAkoBJCiAYWrJauxx6ieO0fAWWOKg19FE03ytydZ+ZWVTZlp7dS7PtiAu3OeB8A/+EegCSfCxEJElAJIUQD02PMKT/NUQSufHxZaeZj3UD5nNVUNC9lGPez66fFdOj3IgCuXw1A/02sJJ8LEQGSQyWEEA1Mc8SgiuMA0GOziRr1p9J9gaRy63ElFc2DWkcdAsCf2xHX2a2kurkQESIBlRBCRIBRaOZRuYfOw56y3dpevGVcjZLKk2J+BEDl96q/xgohqiVTfkIIEQGqJAX4Flevd0K2e3eNRuW3DTupPD5hr3k9X596aacQIjwSUAkhRIOag+8I+I+mYG9Tfq/rV69S+OHrYSeVRyV9Z35jr/2agEKIkycBlRBCNCDfEbAnP4gqGmhtU34HRu5p2JL2osWVkDAlIaykcmV4cbb6FgA9VgIqISJJcqiEEKKBKENRsPBOilbNxtF+k7Xd/8sZ2JL2AuDbV4PAKG83mr0E5YlBT+hSx60VQtSEBFRCCNFAggsaF6+dQcmOK6zt9tbf4N17LgC68yi+LF9Y11OF2wDw5/RA02x132AhRNgkoBJCiAZStqZUybo7Srf7nHi/uRQALfpolbWnrHMMBUWBgCq3p/lYCBExElAJIUQDKVtTytE1AzDzpzS7B3v7DeYxUceqqT01B9+ROeQ+nYumfw2Af3dPcp/OxXdkDpUtpiyEqF8SUAkhRAMJLmhcdr2+nL8comjVbJyBBY616KNV1p4KJrW7+s7DnmIGVL7DPcNaUFkIUX/kLj8hhGggmq4RO/ZJ7MnpZdbrMxdF1mIP4h6wAD1xb6WVzoNJ7a6+HmtBZQDHGR8RNeTxahdUFkLUHxmhEkKIBmRPBt+RByjJnBmy3bPtTgA0e1Gl55ZNai/e+jsAlMIKporXzkDlqbCT2oUQdUdGqIQQokHNwZ4MCVPNwEcVKLRYDVtKBwA0mx/lPY7miCl3Ztlkdd+3o+FXr6Np1GhBZSFE/ZARKiGEiABN13B0dODs5TQXNHbHo/wOAFTRzxWfUzapvc+b5rFKq/GCykKIuicjVEII0Qhomo5RnIQWcwij5DA6HcodE0xqd/Wdh6vHfwHwfnsR/oN9rZyqkm0zq11QWQhR95rMCNXRo0cZO3Ys8fHxJCYmMmHCBAoKCqo8p7i4mEmTJtGyZUtiY2MZM2YMhw4dCjkmKyuLSy65hOjoaFq3bs2MGTPw+ULzD0pKSrjnnnvo0KEDLpeLjh078tJLL9V5H4UQpzZVkmR+4/ulwv3BpPaoYel4vhtunuOJoXjtDIpWzSZqWDqxNzwpCelCRECT+TNm7NixHDx4kIyMDLxeLzfffDO33norb7zxRqXnTJs2jf/9738sXryYhIQEJk+ezNVXX826desA8Pv9XHLJJaSmprJ+/XoOHjzITTfdhMPh4C9/+Yt1nWuuuYZDhw7x4osv0qVLFw4ePIhhGPXeZyHEqUV5qg6ooDSp3X/QA10+Bo+Za1WybWbYCyoLIepekwiodu7cyfLly9m8eTMDBgwA4JlnnmH06NH89a9/pW3btuXOyc3N5cUXX+SNN97gggsuAODll1+me/fufPbZZwwePJgVK1awY8cOPvroI1JSUujbty8PPfQQd999N3PmzMHpdLJ8+XJWr17Nnj17SEoyf9l17NixwfouhDiF+FoCoIyKc6hMZlK7UTAdgEJsuK934+7sDmtBZSFE/WgSAdWGDRtITEy0gimAESNGoOs6Gzdu5Kqrrip3zpYtW/B6vYwYMcLa1q1bN9q3b8+GDRsYPHgwGzZsoHfv3qSkpFjHjBo1ittvv53t27fTr18/3nvvPQYMGMC8efN47bXXiImJ4fLLL+ehhx4iKiqqwvaWlJRQUlJiPc7LywPA6/Xi9XpP+vUoK3i9ur5uUyH9l/6X/bepUz7zjzZlHKm+T5qZ8lCCHVdbhc/vA399t7BxaW4//5qS/td//2ty7SYRUGVnZ9O6deuQbXa7naSkJLKzsys9x+l0kpiYGLI9JSXFOic7OzskmAruD+4D2LNnD59++ilut5slS5bw888/84c//IFffvmFl19+ucLnTk9P58EHHyy3fcWKFURHR1ff4VrIyMiol+s2FdJ/6X9zMLidTkpHyMvfy7r336/y2GFnHcYJ+HzuZtP/2pL+S//rS2FhYdjHRjSgmjVrFo8++miVx+zcubOBWlMxwzDQNI2FCxeSkJAAwOOPP87//d//8eyzz1Y4SjV79mymT59uPc7Ly6Ndu3aMHDmS+Pj4Om2f1+slIyODCy+8EIfDUafXbgqk/9L/5tR/46ftACQkehk9enTVB2e/CIDP7242/a+p5vbzrynpf/33PzjDFI6IBlR33XUX48ePr/KYzp07k5qayuHDh0O2+3w+jh49SmpqaoXnpaam4vF4yMnJCRmlOnTokHVOamoqmzZtCjkveBdg8Jg2bdpw2mmnWcEUQPfu3VFK8dNPP9G1a9dyz+1yuXC5XOW2OxyOevuh1+e1mwLpv/S/OfTfazMzyjX7UezV9MdnO26e43M1m/7XlvRf+l+fn63himjZhOTkZLp161bll9PpJC0tjZycHLZs2WKdu3LlSgzDYNCgQRVeu3///jgcDj7++GNr265du8jKyiItLQ2AtLQ0vvrqq5BgLSMjg/j4eHr06AHAueeey4EDB0JKNHz77bfous7pp59ep6+HEOIUZzOT0jVH5Xf5lR5rBlQ+v7s+WySECFOTqEPVvXt3LrroIiZOnMimTZtYt24dkydP5rrrrrPu8Nu/fz/dunWzRpwSEhKYMGEC06dP55NPPmHLli3cfPPNpKWlMXjwYABGjhxJjx49uPHGG9m2bRsffvgh9957L5MmTbJGmG644QZatmzJzTffzI4dO1izZg0zZszglltuqTQpXQghakOztzL/dR4N49jACJW//Gi4EKLhNYmACmDhwoV069aN4cOHM3r0aM477zxeeOEFa7/X62XXrl0hCWRPPPEEl156KWPGjGHo0KGkpqbyzjvvWPttNhvLli3DZrORlpbG7373O2666Sbmzp1rHRMbG0tGRgY5OTkMGDCAsWPHctlll/H00083TMeFEKcMzRkIqNzVB1TYzVFzj+GszyYJIcLUJO7yA0hKSqqyiGfHjh1RKnRBULfbzfz585k/f36l53Xo0IH3q7mbplu3bqf8XRRCiPqnuQI5VK58lL8EzVb56JOMUAnRuDSZESohhGjuNHcLlDKXjVHFVedRaY5AQGVIQCVEYyABlRBCNBKabkcVJwKgiiuvlq4MH5rTTG+QKT8hGgcJqIQQohEJLpCsvFUsP+MtzRUtMU7d2+WFaEwkoBJCiEZEeQLr+fmqGKHy5pv/Gjo+1WRSYYVo1iSgEkKIxsRrjlDhrz6gwhsDmtYAjRJCVEcCKiGEaESUv2Xgm8qT0pUvMELljW2IJgkhwiABlRBCNCYqMEJFFXf5GWYNKuWNqf/2CCHCIgGVEEI0Jsos7oleRUDlDyyF5ZOASojGQgIqIYRoTLTAen62Kqb8AgGV8ktAJURjIQGVEEI0JrbACJW9iuVnVCCHyi85VEI0FhJQCSFEI6LZAyNUVS2QrAJTfoYEVEI0FhJQCSFEY2ILBFSuX/Du9aIMVf6YQEClDJnyE6KxkIBKCCEahTn4jszh+JIoADR3DgWv5ZH7dC6+I3OAOWWOlREqIRobCaiEEKIR8B0Be/KDOM96GQBNN9Dcubj6zsOe/CC+I2UO1gIBFTJCJURjIWsWCCFEhClDUbDwTlx9PUQNS0f5nGh2D+6h83AP+gdFq2ZTsu1OEqYoNF0D7XjgTBmhEqKxkBEqIYSIMF+WD5WvKF47g6JVs9HsHgArmCpeOwOVp/Bl+cwTAiNUSkaohGg0JKASQogIUwWliefFa2eglLk+n/LbKV47o9xxmh6Y8tNkhEqIxkICKiGEiDAttnSBY/eQx9C0QOBk8+Ee8lj542yBKT8trsHaKISomgRUQggRYfb2drQ4DfeQx4galo7/l84AeL65hKhh6WaQFa9hb2+mvWq2wAiVLlN+QjQWkpQuhBARpukasWOfxJ6cTtGq2diSd2JruQffvnPxZ/chalg6jp5ONH2OeYI9MEJliwWOV3JVIURDkhEqIYRoBOzJ4DvyACWZM1El5lSe5iygZNtMfEcewJ5ceqzmCARRuuRQCdFYyAiVEEI0CnOwJ0PCVIX3u3gAbG0LSTg/oXRkKkBzmFN+mj0OONSwzRRCVEhGqIQQohHRdA3NmWB+7843606VoZQBgREqZZccKiEaCwmohBCi0QlM+VkV0cvwFaPphrnfLnf5CdFYSEAlhBCNTbAcgi2v3C7lyS994IhuoAYJIaojAZUQQjQymm5O+WErP0KlfGZApTzRaLqkwQrRWEhAJYQQjY0emPKz5Zff5wssO+OV/CkhGhMJqIQQorGxBab8HOUDKuUPjFD5JKASojGRgEoIIRobu1k2IVgeIYQ/sM0nNaiEaEwkoBJCiEZGqyKgUoGASkaohGhcJKASQohGRnME6lA5j6MMX+hOIzAN6JeASojGRAIqIYRoZDRXfOkDzwmjVCqw7IwhU35CNCZNJqA6evQoY8eOJT4+nsTERCZMmEBBQQX5BWUUFxczadIkWrZsSWxsLGPGjOHQodBlGrKysrjkkkuIjo6mdevWzJgxA58v9C/ChQsXcvbZZxMdHU2bNm245ZZb+OWXX+q8j0IIAYDNhfKbJRGU94RaVCqQlC4BlRCNSpMJqMaOHcv27dvJyMhg2bJlrFmzhltvvbXKc6ZNm8bSpUtZvHgxq1ev5sCBA1x99dXWfr/fzyWXXILH42H9+vW88sorLFiwgPvvv986Zt26ddx0001MmDCB7du3s3jxYjZt2sTEiRPrra9CiFObpukoj3mnn/LmnrA38IekkoBKiMakSQRUO3fuZPny5fzrX/9i0KBBnHfeeTzzzDMsWrSIAwcOVHhObm4uL774Io8//jgXXHAB/fv35+WXX2b9+vV89tlnAKxYsYIdO3bw+uuv07dvXy6++GIeeugh5s+fj8fjAWDDhg107NiRqVOn0qlTJ8477zx+//vfs2nTpgbrvxDiFOQ1AyblO2GEKrgcjZIcKiEakyZRZnfDhg0kJiYyYMAAa9uIESPQdZ2NGzdy1VVXlTtny5YteL1eRowYYW3r1q0b7du3Z8OGDQwePJgNGzbQu3dvUlJSrGNGjRrF7bffzvbt2+nXrx9paWn86U9/4v333+fiiy/m8OHDvPXWW4wePbrS9paUlFBSUmI9zsszfyF6vV68Xu9JvRYnCl6vrq/bVEj/pf9l/21OdK85QuX35KDK9E8FRqiUisHXjPsfjub88w+H9L/++1+TazeJgCo7O5vWrVuHbLPb7SQlJZGdnV3pOU6nk8TExJDtKSkp1jnZ2dkhwVRwf3AfwLnnnsvChQu59tprKS4uxufzcdlllzF//vxK25uens6DDz5YbvuKFSuIjq6ftbcyMjLq5bpNhfRf+t/cjBoQhQ3Y810m324pzev8TbcjOIFDh46z9Uuz382x/zUh/Zf+15fCwsKwj41oQDVr1iweffTRKo/ZuXNnA7WmYjt27OCOO+7g/vvvZ9SoURw8eJAZM2Zw22238eKLL1Z4zuzZs5k+fbr1OC8vj3bt2jFy5Eji4+MrPKe2vF4vGRkZXHjhhTgcjjq9dlMg/Zf+N9f+a0eeAaBzx2S6nFZmRPzQCwC0TjmDC/tc2Gz7H47m/PMPh/S//vsfnGEKR0QDqrvuuovx48dXeUznzp1JTU3l8OHDIdt9Ph9Hjx4lNTW1wvNSU1PxeDzk5OSEjFIdOnTIOic1NbVcLlTwLsDgMenp6Zx77rnMmDEDgD59+hATE8OQIUP485//TJs2bco9t8vlwuVyldvucDjq7Yden9duCqT/0v/m1n+v3/zjS9eOh/TNZzPLJtjs8eiB7c2x/zUh/Zf+1+dna7giGlAlJyeTnJxc7XFpaWnk5OSwZcsW+vfvD8DKlSsxDINBgwZVeE7//v1xOBx8/PHHjBkzBoBdu3aRlZVFWlqadd2HH36Yw4cPW1OKGRkZxMfH06NHD8Ac7rPbQ18mm80GgFKqFr0WQogwqMB6fir0L2TNFsih0iUpXYjGpEnkUHXv3p2LLrqIiRMn8vzzz+P1epk8eTLXXXcdbdu2BWD//v0MHz6cV199lYEDB5KQkMCECROYPn06SUlJxMfHM2XKFNLS0hg8eDAAI0eOpEePHtx4443MmzeP7Oxs7r33XiZNmmSNMF122WVMnDiR5557zpryu/POOxk4cKD13HXF7/fXOLnO6/Vit9spLi7G7/fXaXuaglOh/w6HwwrixSnEKotwQr09uzlCpdnikD/phGg8mkRABWZxzcmTJzN8+HB0XWfMmDE8/fTT1n6v18uuXbtCEsieeOIJ69iSkhJGjRrFs88+a+232WwsW7aM22+/nbS0NGJiYhg3bhxz5861jhk/fjz5+fn8/e9/56677iIxMZELLrig2tyvmlBKkZ2dTU5OTq3OTU1N5ccff0TTtDprU1NxqvQ/MTGR1NTUZt1HcQIVyLfU8kM2a/ZAgGWTOlRCNCZNJqBKSkrijTfeqHR/x44dy03Bud1u5s+fX+UdeR06dOD999+v8rmnTJnClClTatbgGggGU61btyY6OrpGH5qGYVBQUEBsbCy63iTKitWp5t5/pRSFhYVWDmFFOXuiuQpM+WknJMU6ZIRKiMaoyQRUzZXf77eCqZYtW9b4fMMw8Hg8uN3uZhlQVOdU6H9UVBSAlesn03+nCM0codL0E0aoggGVPa7BmySEqFzz/ARqQoI5U/VVn0o0D8H3x6lawO9UpAUCKmylOVTKX4JmN1dxwCFTfkI0JhJQNRKSGyOqIu+PU48K5Ehp9tIpP+UpDa40p4xQCdGYSEAlmqXx48dz5ZVXRroZQtSaZkswv7GXucvPGyiZ4HOh2ZwRaJUQojISUDUjylB493rxfO3Bu9eLMhp3yuqcOXPo27dvRJ571apVaJpmfUVFRdGzZ09eeOEF65iy+yv6mjNnDgBffPEFv/3tb0lJScHtdtO1a1cmTpzIt99+G5G+iWbCZo5AaY7SHCrlM79XHqlBJURjI0npzYT3Gy9FK4pQ+aVBlBanET0qGmd3+Uu2Mrt27SI+Pp6ioiKWLl3K7bffzhlnnMHw4cM5ePCgddybb77J/fffz65du6xtsbGxLFu2jDFjxjBq1CgWLlzIGWecweHDh1m8eDH33Xcfb775ZiS6JZoBzR5ISi8bUPkD3/skoBKisZERqmZAfacofLswJJgCUPmK428dx7PTUy/Pu3z5cs477zwSExNp2bIll156Kd9//33IMT/99BPXX389SUlJxMTEMGDAADZu3MiCBQt48MEH2bZtmzXis2DBAvbu3YumaWRmZlrXyMnJQdM0Vq1aBZh3Rk6YMIFOnToRExPDr3/965CaZDXRunVrUlNT6dSpE1OnTqVTp05s3boVMJcfCn4lJCSgaVrINl3Xufnmmxk9ejTvvfceI0aMoFOnTgwaNIi//vWv/OMf/6hVm4QA0JyBKT/ncZQyi9Yqb+kIVVMYhRbiVCIjVI2QUgrCvJnL8BmwpupjCj8sxN7JjqaHkdjsCD8B+vjx40yfPp0+ffpQUFDA/fffz1VXXUVmZia6rlNQUMD555/PaaedxnvvvUdqaipbt27FMAyuvfZavv76a5YvX85HH30EQEJCgrWWYlUMw+D0009n8eLFtGjRgo8//php06bRtm1brrnmmrDafiKlFB9++CFZWVmVLmd0og8//JCff/6ZmTNnVri/7BqSQtSU5gyMUGkK5bsX3zEXJZ+dheNqUMUxFLxWgBan0ff8pej658BDkW2wEKc4CagaIy/kPJpTZ5dT+Yrcx3LDOjbx7kQIc4YwuEZi0EsvvURycjI7duygV69evPHGGxw5coTNmzeTlJQEQJcuXazjY2NjsdvtlS5wXRmHw8GDDz4ImMHVNddcw7Zt2/jPf/5T44Dq9NNPB6CkpATDMJg7dy5Dhw4N69zdu3cD0K1btxo9pxBhsUehDB1NN/D/UoI95REc3a4AQHnMOwBdfefRod+LeA/dhy0lko0VQkhAJWpt9+7d3H///WzcuJGff/4ZwzAAyMrKolevXmRmZtKvXz8rmKpL8+fP56WXXiIrK4uioiI8Hk+tEtzXrl1LXFwcJSUlbNq0icmTJ5OUlMTtt99e7bmyOLaoT5qmY5TEoblzKXz/ehyd3EQNSwdAeWNwD3mMqGHpFK6ajSdzOglTVXij0EKIeiEBVWPkCIwUhcGz10Phm4XVHhdzfQyO9o6wnjtcl112GR06dOCf//wnbdu2xTAMevXqhcdj5mwFK3zXRLDaedlg5cRilosWLeKPf/wjf/vb3xg0aBCapvH888+zadOmGj9fp06drKm5nj17snHjRh5++OGwAqozzzwTgG+++Ya0tLQaP7cQ1fLGgjsX/HkUr52B7fSNOLusxNF1Oc6z3qdo1WxK1s4AFL4sH46ONfgPLISoU5KU3ghpmobmDO/L3tkO1RRM1uI1HJ0d4V0zzPypX375hV27dnHvvfcyfPhwunfvzrFjx0KO6dOnD5mZmRw9erTCazidTvx+f8i25ORkgJA77MomqAOsW7eOc845hz/84Q/069ePzp07s2fPnrDaXR2bzUZRUVFYx44cOZJWrVoxb968CvfXZrFrIcpS3kAelcusP2X8bAbxmm6gfE6K184oPbZARkyFiCQJqJo4TddgSNXHRI+MrvOpgBYtWtCyZUteeOEFvvvuO1auXMn06dNDjrn++utJTU3lyiuvZN26dezZs4e3336bDRs2AOaC1j/88AOZmZn8/PPPlJSUEBUVxeDBg3nkkUfYuXMnq1ev5t577w25bteuXfn888/58MMP+fbbb3n44YfZvHlzrfpx+PBhsrOz2bdvH4sXL+a1117jiiuuCOvcmJgY/vWvf/G///2Pyy+/nI8++oi9e/fy+eefM3PmTG677bZatUmIIOULVEt3mgGVvYt5A4fy29DsHtxDHrOO1WJluk+ISJKAqhnQumhEj4lGiwv9harFa8T8X0y91KHSdZ1FixaxZcsWevXqxbRp03jsscdCjnE6naxYsYLWrVszevRoevfuzSOPPGIt7jtmzBguuugifvOb35CcnMy///1vwExu9/l89O/fnzvvvJM///nPIdf9/e9/z9VXX821115LWloaR48eDWuKriJnnXUWbdq0oUuXLtx99938/ve/55lnngn7/CuuuIL169fjcDi44YYb6NatG9dffz25ubnl2i1EjfkDAVVsPu4hj2Fv9R0ABf/+D0WrZhM1LB3XkMfQ4jTs7SWDQ4hIkv+BzYSjmwNnNye+LB+qQKHFmr9g6zNJdcSIEezYsSNk24mJ2h06dOCtt96q8HyXy1Xhvu7du7N+/fpKr+tyuXj55Zd5+eWXMQyDvLw84uPjeeSRR6xjFixYUGXbhw0bVqOk8vHjxzN+/PgK9w0YMIC333477GsJETa/OeXnGvBf7CnLzZEpmx/jWCeKf/gNANHD0nF0t6PpcyPZUiFOeRJQNSOarklSqhDNiDICy8+4SvBl34E99SmU346RGyj3kTmTwwmHOb2P5E8JEWkSUAkhRGOlzIDKyBmA5r4QeAojrz0xVyagxWqoNorVyy+jba/RBGbShRARIgGVEEI0VoGACq0A5THzp1RRZ5y9zLzIE0uKCCEiR5LShRCi0QoGVPlgBAIq7xkRbI8QojIyQiWEEI2VZi6QrOl5oBcENkpAJURjJAGVEEI0Vlqgaq8tH83xs/m9XQIqIRojmfITQojGyhaY8rPlo8f9AIAedWYEGySEqIwEVEII0UhpNnPKT4/9Ac1VgFIaeryMUAnRGElAJYQQjVVghEqP/gUAVdAWzV7zRceFEPVPAipRa0opbr31VpKSktA0rdwixkKIk6PZ40MeG8dldEqIxkoCKlFry5cvZ8GCBSxbtoyDBw/Sq1evSDep1jp27MiTTz4Z1nGapqFpGjabjbZt2zJhwgSOHTsGmEvUBPdX9NWxY0cA8vLyuOeee+jWrRtut5vU1FRGjBjBO++8U6MlcUTzpjkSQh4rT+cItUQIUR0JqJoBt/sRoLKFeB8C5tTL837//fe0adOGc845h9TUVOz2mt80qpTC5/PVQ+vqz9y5czl48CBZWVksXLiQNWvWMHXqVACeeuopDh48aH0BvPzyy9bjzZs3k5OTwznnnMOrr77K7Nmz2bp1K2vWrOHaa69l5syZ5ObmRrJ7ohHRnKEjVBgyQiVEYyUBVTOglA1dfwAzeCrrIeB+oO7XpBg/fjxTpkwhKysrZOSlpKSEqVOn0rp1a9xuN+eddx6bN2+2zlu1ahWapvHBBx/Qv39/XC4Xn376KYZhkJ6eTqdOnYiKiuLss88ut3Dy9u3bufTSS4mPjycuLo4hQ4bw/fffA7B582YuvPBCWrVqRUJCAueffz5bt24t8xop5syZQ/v27XG5XLRt29YKgoYNG8a+ffuYNm2aNZJUlbi4OFJTUznttNP4zW9+w7hx46znSkhIIDU11foCSExMtB4nJyfzpz/9ib1797Jx40bGjRtHjx49OPPMM5k4cSKZmZnExsae3A9HNB+OGJQq8360dYlcW4QQVZI6VI2SAgrDPNagpOQPuFwaun4/4AFmAcFRq3uB6cDxMK8XDVQdUIA5EnPGGWfwwgsvsHnzZmyBhcRmzpzJ22+/zSuvvEKHDh2YN28eo0aN4rvvviMpKck6f9asWfz1r3+lc+fOtGjRgvT0dF5//XWef/55unbtypo1a/jd735HcnIy559/Pvv372fo0KEMGzaMlStXEh8fz7p166zRrfz8fMaNG8czzzyDUoq//e1vjB49mt27dxMXF8fbb7/NE088waJFi+jZsyfZ2dls27YNgHfeeYezzz6bW2+9lYkTJ4b5Opn279/P0qVLGTRoUFjHG4bBokWLGDt2LG3bti23X4IpUZam6aiSWHDlm4+jJKASorGSgKpRKgTC+2DVdUhMLLvlz4RO/534uDoFQEy1RyUkJBAXF4fNZrNGYo4fP85zzz3HggULuPjiiwH45z//SUZGBi+++CIzZsywzp87dy4XXnghYI5q/eUvf+Gjjz4iLS0NgM6dO/Ppp5/yj3/8g/PPP5/58+eTkJDAokWLcDgcAJx55pkYhkFeXh4XXHABul464PrCCy+QmJjI6tWrufTSS8nKyrLylBwOB+3bt2fgwIEAJCUlYbPZrJGn6tx9993ce++9+P1+iouLGTRoEI8//ngYry38/PPPHDt2jG7duoV1vDi1KUOhPLFogYBKj+ka4RYJISojU36iznz//fd4vV7OPfdca5vD4WDgwIHs3Lkz5NgBAwZY33/33XcUFhZy4YUXEhsba329+uqr1pReZmYmQ4YMsYKpEx06dIiJEyfStWtXEhISiI+Pp6CggKysLAB++9vfUlRUROfOnZk4cSJLliypde7WjBkzyMzM5Msvv+Tjjz8G4JJLLsHv91d7riSci/DMwXdkDrlP56KKzdIJRkEyef9Q+I7Mob7yIoUQtScjVI1SNOZIUfWCIzTx8fHo+jzM0Sgn5tTfvZjTfzV97voXE1M6ClZQYPb1f//7H6eddlrIcS6XC4CoqKpr74wfP56jR4/y1FNP0aFDB1wuF2lpaXg8HgDatWvHrl27+Oijj8jIyOAPf/gDjz32GKtXr640SKtMq1at6NLFnHrp2rUrTz75JGlpaXzyySeMGDGiynOTk5NJTEzkm2++qdFzilOL7wjYkx/E1deD8pij1caxjrj6zsOenI7vyAPYkyPcSCFEiCYzQnX06FHGjh1LfHw8iYmJTJgwwfogrkxxcTGTJk2iZcuWxMbGMmbMGA4dOhRyzNSpU63k6L59+1Z4nS+//JIhQ4bgdrtp164d8+bNq6tuVULDnHarydcTmMHUXKAk8O+fgcdreJ3q86cqc8YZZ+B0Olm3bp21zev1snnzZnr06FHpeT169MDlcpGVlUWXLl1Cvtq1awdAnz59WLt2LV6vt8JrrF+/nqlTpzJ69Gh69uyJy+Xi559/DjkmKiqKyy67jKeffppVq1axYcMGvvrqKwCcTmdYI0wVCeaPFRUVVXusrutcd911LFy4kAMHDpTbX1BQ0OTuehR1SxmKgoV3UrRqNlHD0tGijpo7HEVEDUunaNVsCt64E2XIaKcQjUmTCajGjh3L9u3bycjIYNmyZaxZs4Zbb721ynOmTZvG0qVLWbx4MatXr+bAgQNcffXV5Y675ZZbuPbaayu8Rl5eHiNHjqRDhw5s2bKFxx57jDlz5vDCCy/USb/qgsv1WOAuv7nAfYGt9wUe30/5u//qR0xMDLfffjszZsxg+fLl7Nixg4kTJ1JYWMiECRMqPS8uLo4//vGPTJs2jVdeeYXvv/+erVu38swzz/DKK68AMHnyZPLy8rjuuuv4/PPP2b17N6+99hq7du0CzJGi1157jZ07d7Jx40bGjh0bMqq1YMECXnzxRb7++mv27NnD66+/TlRUFB06dADM+lJr1qxh//795QKxE+Xn55Odnc3BgwfZtGkTM2bMIDk5mXPOOSes1+nhhx+mXbt2DBo0iFdffZUdO3awe/duXnrpJfr161ftHwqiefNl+VD5iuK1MyhaNRtb0l4A7KlfU7RqNsVrZ6DyFL4sCbyFaFRUE7Bjxw4FqM2bN1vbPvjgA6Vpmtq/f3+F5+Tk5CiHw6EWL15sbdu5c6cC1IYNG8od/8ADD6izzz673PZnn31WtWjRQpWUlFjb7r77bnXWWWeF3f7c3FwFqNzc3HL7ioqK1I4dO1RRUVHY1yvL7/eroqK7ld//YCVHzFVKPVCra1fniSeeUB06dAjZVlRUpKZMmaJatWqlXC6XOvfcc9WmTZus/Z988okC1LFjx0LOMwxDPfnkk+qss85SDodDJScnq1GjRqnVq1dbx2zbtk2NHDlSRUdHq7i4ODVkyBC1e/dudezYMfX555+rAQMGKLfbrbp27aoWL16sOnTooJ544gmllFJLlixRgwYNUvHx8SomJkYNHjxYffTRR9a1N2zYoPr06aNcLpeq6r9Fhw4dFOZtmApQycnJavTo0eqLL76o8HhALVmypNz2nJwcNWvWLNW1a1fldDpVSkqKGjFihFqyZIkyDKPc8ZW9Tzwej3r33XeVx+OptM3NWXPsf8lXJero3KPWl+GzK6VQhs8Rsr3kq5Jm2f+akP5L/+u7/1V9fp+oSeRQbdiwgcTExJBE5hEjRqDrOhs3buSqq64qd86WLVvwer0hOS3dunWjffv2bNiwgcGDB4f93EOHDsXpdFrbRo0axaOPPsqxY8do0aJFuXNKSkooKSmxHufl5QHm9NeJU1ZerxelFIZhYBhGWG0qSylFcfEsHI64Ss6/J/Bvza9dnalTpzJ16tSQ53U6nTz55JPlqo4Hjxk6dKg1tXZie6dMmcKUKVPKPU/wuF69evHBBx+E7FNKkZ+fT9++fdm4cWPIvuBopGEYXH755Vx++eWVXnvgwIF88cUX5bafaM+ePRVur+ycyvoaFxfHww8/zMMPP1zuHKVUueR1wzBQSuH1eq0pRsB6P1U2FdrcNcf++92lU8/uIY+h2XwonxPN7sE95DGK186wjlNe833SnPpfE83x518T0v/6739Nrt0kAqrs7Gxat24dss1ut5OUlER2dnal5zidThJDawqQkpJS6TmVXadTp07lrhHcV1FAlZ6ezoMPPlhu+4oVK4iODk36ttvtpKamUlBQYCVQ10Z+fn6tz20Omnv/PR4PRUVFrFmzpsIcq4yMjAi0qvFoVv1XMMgxiPjBT1s5U8VrZ+Ae8hhRw9JRQO5nU1jz9RrYbp7SrPpfC9J/6X99KSwMtyZkhAOqWbNm8eijj1Z5zIm32zcFs2fPZvr06dbjvLw82rVrx8iRI4mPD11Kori4mB9//JHY2FjcbneNnys4QhMXF1dthe/m6FTpf3FxMVFRUQwdOjTkfeL1esnIyODCCy+s8d2KzUGz7X/aQzhSSoMpwPo3elg6ju52Rifd13z7Hybpv/S/vvsfnGEKR0QDqrvuuovx48dXeUznzp1JTU3l8OHDIdt9Ph9Hjx6ttBBjamoqHo+HnJyckFGqQ4cOhVW8sex1TrwzMPi4suu4XC7rdv+yHA5HuR+63+9H0zR0XQ8pTBmu4FRS8BqnmlOl/7quo2lahe8hqPi9dSppdv1P0fEdeYCSzDsx0/VMJdtm4ujpxJECUNrfZtf/GpL+S//rq/81uW5EA6rk5GSSk6svppKWlkZOTg5btmyhf//+AKxcuRLDMCpd8qN///44HA4+/vhjxowZA8CuXbvIysqyqnGHIy0tjXvuuQev12u9sBkZGZx11lkVTvcJIcTJm4M9GRKmmnfzqQKFFqthb29H0+dEunFCiAo0iT/pu3fvzkUXXcTEiRPZtGkT69atY/LkyVx33XXWemj79++nW7dubNq0CTCXRpkwYQLTp0/nk08+YcuWLdx8882kpaWFJKR/9913ZGZmkp2dTVFREZmZmWRmZlr5TDfccANOp5MJEyawfft23nzzTZ566qmQKT0hhKgPmq7h6OjA2cuJo6MDTW++09pCNHVNIikdYOHChUyePJnhw4ej6zpjxozh6aeftvZ7vV527doVkkD2xBNPWMeWlJQwatQonn322ZDr/r//9/9YvXq19bhfv34A/PDDD3Ts2JGEhARWrFjBpEmT6N+/P61ateL++++vtgZWTZ14V5cQZcn7QwghGrcmE1AlJSXxxhtvVLq/Y8eO5T503G438+fPZ/78+ZWet2rVqmqfO1iluz4EpxELCwurXV5FnLqCfyicynkSQgjRmDWZgKq5stlsJCYmWkn30dHRNbpbzTAMPB4PxcXFzTopuzLNvf9KKQoLCzl8+DCJiYkhNaiEEEI0HhJQNQLBuwVPvJMxHEopioqKiIqKatZlAypzqvQ/MTGxRnenCiGEaFgSUDUCmqbRpk0bWrduXeOKr16vlzVr1jB06NBTcjroVOi/w+GQkSkhhGjkJKBqRGw2W40/OG02Gz6fD7fb3WwDiqqc6v0XQgjRODS/pBMhhBBCiAYmAZUQQgghxEmSgEoIIYQQ4iRJDlUDCNbHqskii+Hyer0UFhaSl5d3SuYQSf+l/9J/6b/0X/pf34sjh1NcWQKqBpCfnw9Au3btItwSIYQQQtRUfn4+CQkJVR6jKVnTot4ZhsGBAweIi4ur81pJeXl5tGvXjh9//JH4+Pg6vXZTIP2X/kv/pf/Sf+l/ffVfKUV+fj5t27attni0jFA1AF3XOf300+v1OeLj40/J/1BB0n/pv/Rf+n+qkv7Xb/+rG5kKkqR0IYQQQoiTJAGVEEIIIcRJkoCqiXO5XDzwwAO4XK5INyUipP/Sf+m/9F/6L/1vDCQpXQghhBDiJMkIlRBCCCHESZKASgghhBDiJElAJYQQQghxkiSgEkIIIYQ4SRJQNWHz58+nY8eOuN1uBg0axKZNmyLdpHqRnp7Or3/9a+Li4mjdujVXXnklu3btCjmmuLiYSZMm0bJlS2JjYxkzZgyHDh2KUIvr1yOPPIKmadx5553Wtube//379/O73/2Oli1bEhUVRe/evfn888+t/Uop7r//ftq0aUNUVBQjRoxg9+7dEWxx3fH7/dx333106tSJqKgozjjjDB566KGQtcWaU//XrFnDZZddRtu2bdE0jXfffTdkfzh9PXr0KGPHjiU+Pp7ExEQmTJhAQUFBA/ai9qrqv9fr5e6776Z3797ExMTQtm1bbrrpJg4cOBByjeba/xPddtttaJrGk08+GbI9Uv2XgKqJevPNN5k+fToPPPAAW7du5eyzz2bUqFEcPnw40k2rc6tXr2bSpEl89tlnZGRk4PV6GTlyJMePH7eOmTZtGkuXLmXx4sWsXr2aAwcOcPXVV0ew1fVj8+bN/OMf/6BPnz4h25tz/48dO8a5556Lw+Hggw8+YMeOHfztb3+jRYsW1jHz5s3j6aef5vnnn2fjxo3ExMQwatQoiouLI9jyuvHoo4/y3HPP8fe//52dO3fy6KOPMm/ePJ555hnrmObU/+PHj3P22Wczf/78CveH09exY8eyfft2MjIyWLZsGWvWrOHWW29tqC6clKr6X1hYyNatW7nvvvvYunUr77zzDrt27eLyyy8POa659r+sJUuW8Nlnn9G2bdty+yLWfyWapIEDB6pJkyZZj/1+v2rbtq1KT0+PYKsaxuHDhxWgVq9erZRSKicnRzkcDrV48WLrmJ07dypAbdiwIVLNrHP5+fmqa9euKiMjQ51//vnqjjvuUEo1//7ffffd6rzzzqt0v2EYKjU1VT322GPWtpycHOVyudS///3vhmhivbrkkkvULbfcErLt6quvVmPHjlVKNe/+A2rJkiXW43D6umPHDgWozZs3W8d88MEHStM0tX///gZre104sf8V2bRpkwLUvn37lFKnRv9/+uknddppp6mvv/5adejQQT3xxBPWvkj2X0aomiCPx8OWLVsYMWKEtU3XdUaMGMGGDRsi2LKGkZubC0BSUhIAW7Zswev1hrwe3bp1o3379s3q9Zg0aRKXXHJJSD+h+ff/vffeY8CAAfz2t7+ldevW9OvXj3/+85/W/h9++IHs7OyQ/ickJDBo0KBm0f9zzjmHjz/+mG+//RaAbdu28emnn3LxxRcDzb//ZYXT1w0bNpCYmMiAAQOsY0aMGIGu62zcuLHB21zfcnNz0TSNxMREoPn33zAMbrzxRmbMmEHPnj3L7Y9k/2Vx5Cbo559/xu/3k5KSErI9JSWFb775JkKtahiGYXDnnXdy7rnn0qtXLwCys7NxOp3WL5SglJQUsrOzI9DKurdo0SK2bt3K5s2by+1r7v3fs2cPzz33HNOnT+dPf/oTmzdvZurUqTidTsaNG2f1saL/D82h/7NmzSIvL49u3bphs9nw+/08/PDDjB07FqDZ97+scPqanZ1N69atQ/bb7XaSkpKa3etRXFzM3XffzfXXX28tDtzc+//oo49it9uZOnVqhfsj2X8JqESTMmnSJL7++ms+/fTTSDelwfz444/ccccdZGRk4Ha7I92cBmcYBgMGDOAvf/kLAP369ePrr7/m+eefZ9y4cRFuXf37z3/+w8KFC3njjTfo2bMnmZmZ3HnnnbRt2/aU6L+omNfr5ZprrkEpxXPPPRfp5jSILVu28NRTT7F161Y0TYt0c8qRKb8mqFWrVthstnJ3cR06dIjU1NQItar+TZ48mWXLlvHJJ59w+umnW9tTU1PxeDzk5OSEHN9cXo8tW7Zw+PBhfvWrX2G327Hb7axevZqnn34au91OSkpKs+5/mzZt6NGjR8i27t27k5WVBWD1sbn+f5gxYwazZs3iuuuuo3fv3tx4441MmzaN9PR0oPn3v6xw+pqamlru5hyfz8fRo0ebzesRDKb27dtHRkaGNToFzbv/a9eu5fDhw7Rv3976Xbhv3z7uuusuOnbsCES2/xJQNUFOp5P+/fvz8ccfW9sMw+Djjz8mLS0tgi2rH0opJk+ezJIlS1i5ciWdOnUK2d+/f38cDkfI67Fr1y6ysrKaxesxfPhwvvrqKzIzM62vAQMGMHbsWOv75tz/c889t1yZjG+//ZYOHToA0KlTJ1JTU0P6n5eXx8aNG5tF/wsLC9H10F/VNpsNwzCA5t//ssLpa1paGjk5OWzZssU6ZuXKlRiGwaBBgxq8zXUtGEzt3r2bjz76iJYtW4bsb879v/HGG/nyyy9Dfhe2bduWGTNm8OGHHwIR7n+9pryLerNo0SLlcrnUggUL1I4dO9Stt96qEhMTVXZ2dqSbVuduv/12lZCQoFatWqUOHjxofRUWFlrH3Hbbbap9+/Zq5cqV6vPPP1dpaWkqLS0tgq2uX2Xv8lOqefd/06ZNym63q4cffljt3r1bLVy4UEVHR6vXX3/dOuaRRx5RiYmJ6r///a/68ssv1RVXXKE6deqkioqKItjyujFu3Dh12mmnqWXLlqkffvhBvfPOO6pVq1Zq5syZ1jHNqf/5+fnqiy++UF988YUC1OOPP66++OIL6y62cPp60UUXqX79+qmNGzeqTz/9VHXt2lVdf/31kepSjVTVf4/Hoy6//HJ1+umnq8zMzJDfhyUlJdY1mmv/K3LiXX5KRa7/ElA1Yc8884xq3769cjqdauDAgeqzzz6LdJPqBVDh18svv2wdU1RUpP7whz+oFi1aqOjoaHXVVVepgwcPRq7R9ezEgKq593/p0qWqV69eyuVyqW7duqkXXnghZL9hGOq+++5TKSkpyuVyqeHDh6tdu3ZFqLV1Ky8vT91xxx2qffv2yu12q86dO6t77rkn5AO0OfX/k08+qfD/+7hx45RS4fX1l19+Uddff72KjY1V8fHx6uabb1b5+fkR6E3NVdX/H374odLfh5988ol1jeba/4pUFFBFqv+aUmXK7QohhBBCiBqTHCohhBBCiJMkAZUQQgghxEmSgEoIIYQQ4iRJQCWEEEIIcZIkoBJCCCGEOEkSUAkhhBBCnCQJqIQQQgghTpIEVEIIcZI0TePdd9+NdDOEEBEkAZUQ4pQ2fvx4rrzyykg3QwjRxElAJYQQQghxkiSgEkKIgGHDhjF16lRmzpxJUlISqampzJkzJ+SY3bt3M3ToUNxuNz169CAjI6PcdX788UeuueYaEhMTSUpK4oorrmDv3r0AfPPNN0RHR/PGG29Yx//nP/8hKiqKHTt21Gf3hBD1SAIqIYQo45VXXiEmJoaNGzcyb9485s6dawVNhmFw9dVX43Q62bhxI88//zx33313yPler5dRo0YRFxfH2rVrWbduHbGxsVx00UV4PB66devGX//6V/7whz+QlZXFTz/9xG233cajjz5Kjx49ItFlIUQdkMWRhRCntPHjx5OTk8O7777LsGHD8Pv9rF271to/cOBALrjgAh555BFWrFjBJZdcwr59+2jbti0Ay5cv5+KLL2bJkiVceeWVvP766/z5z39m586daJoGgMfjITExkXfffZeRI0cCcOmll5KXl4fT6cRms7F8+XLreCFE02OPdAOEEKIx6dOnT8jjNm3acPjwYQB27txJu3btrGAKIC0tLeT4bdu28d133xEXFxeyvbi4mO+//956/NJLL3HmmWei6zrbt2+XYEqIJk4CKiGEKMPhcIQ81jQNwzDCPr+goID+/fuzcOHCcvuSk5Ot77dt28bx48fRdZ2DBw/Spk2b2jdaCBFxElAJIUSYunfvzo8//hgSAH322Wchx/zqV7/izTffpHXr1sTHx1d4naNHjzJ+/HjuueceDh48yNixY9m6dStRUVH13gchRP2QpHQhhAjTiBEjOPPMMxk3bhzbtm1j7dq13HPPPSHHjB07llatWnHFFVewdu1afvjhB1atWsXUqVP56aefALjtttto164d9957L48//jh+v58//vGPkeiSEKKOSEAlhBBh0nWdJUuWUFRUxMCBA/l//+//8fDDD4ccEx0dzZo1a2jfvj1XX3013bt3Z8KECRQXFxMfH8+rr77K+++/z2uvvYbdbicmJobXX3+df/7zn3zwwQcR6pkQ4mTJXX5CCCGEECdJRqiEEEIIIU6SBFRCCCGEECdJAiohhBBCiJMkAZUQQgghxEmSgEoIIYQQ4iRJQCWEEEIIcZIkoBJCCCGEOEkSUAkhhBBCnCQJqIQQQgghTpIEVEIIIYQQJ0kCKiGEEEKIkyQBlRBCCCHESfr/wMOXLlirZe4AAAAASUVORK5CYII=",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"for i in range(batch_valid-cnt_thrown_idx):\n",
|
|
" actual = pd.concat([pd.DataFrame(X_valid_detrend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_valid_detrend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" print(actual)\n",
|
|
" forecast = pd.concat([pd.DataFrame(X_valid_detrend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_hat_detrend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" print(forecast)\n",
|
|
"\n",
|
|
"# =================== BTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['BTC'], label = 'actual BTC', marker = 'o', color = 'violet')\n",
|
|
" ax.plot(forecast.index, forecast['BTC'], label = 'forecast BTC', marker = 'x', color = 'yellow')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('BTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "5e7ba70f-ebe2-4c92-be6f-9ec44481b267",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "76484227-8c9b-4118-8eb6-df35b39463ce",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b2ace561-a548-436e-8b7c-3fd4d8032e82",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 28,
|
|
"id": "7ece23e6-d5dc-4795-9bed-c579d560efa2",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"0\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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",
|
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"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"1\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
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]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
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"data": {
|
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"image/png": 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hxoEDB/LAAw/w448/csMNNxQ5bkFBAQUFBdrfubm5gBKD9nq9EY8vEtTjlfdxKwtVef5Vee4g5i/mf/H5FxQUIMsyVqv1sgwvqr8vt7lFQnnOPz4+HlmWuXDhAnFxcSH3leb/q9KIrhMnTiBJUoiwAWjYsCE//fRT2Mfk5OSE3T8nJyfi8+bk5GC326lVq1axxynuPOp94ZgxYwbTpk0rsn3lypUkJiZGPL7SsGrVqgo5bmWhKs+/Ks8dxPzF/Iufv9VqJTk5mby8vMtWnJ49e9boIRhKeczf4/Fw4cIFPv/8c3w+X8h958+fj/g4lUZ0XW5MmTIlxIVT2wgMGDCgQirSr1q1iv79+1fZqsRVdf5Vee4g5l+Z5y9JsGmTiSNHoFEj6NZNprQLyCKZf35+PocOHaJ69erEx8eXw8hjBznQiDkpKanKJtKX1/zz8/NJSEigR48eRd4naqQqEiqN6KpXrx4Wi4WjR4+GbD969CjJyclhH5OcnFyq/Ys7hsfj4fTp0yFul/44ycnJfPnll0XOo94Xjri4uCIWJShLUyvq4liRx64MVOX5V+W5g5h/pZp/RgaZuy0M3OQgKyu4OSUFPuvmpnVLCTIySnXIkuYvSRImkwmz2XzZJZurITV1ftFi7NixnD59ulSpPBVBec7fbDZjMpnCvpdK879Vad5hdrud9u3bs2bNGm2b3+9nzZo1dO7cOexjOnfuHLI/KDZzcfuHo3379thstpDj7N69m4MHD2rH6dy5M99//722ukE9T40aNWjdunXE5xIIBIKqTuZuC62XOBmb5Q7ZPi7LTeslTjJ3l0+9pPJGkmD9enjnHeV3rJfFysjIKFIeKVqsX78ek8kU9icnJ4e0tLRi7zeZTIwdOxZQxFQ4YTd27FiGDh0a1TlFSqVxugAmT57MmDFj6NChAx07dmTu3Lnk5eUxbtw4AEaPHk2TJk2YMWMGAI8++ig9e/Zk9uzZDBkyhCVLlrB9+3Zee+017Zi//fYbBw8e5PDhw4AiqEBxqJKTk6lZsybjx49n8uTJ1KlThxo1avDwww/TuXNnbr75ZgAGDBhA69at+eMf/8izzz5LTk4O6enpPPTQQ2HdLIFAIBAURZJg4CYHYwE3TgCe4Sme4hlcOHHiYtFmB/skSh1qrEiWLoVHH6WIM/fCC3DnncaNK9bZvXt3kXSaBg0a8NVXX2nFTLds2cKwYcNC9k1ISIj6WMuLSuN0Adx9990899xzOJ1O2rVrx86dO1mxYoWWtH7w4EGOHDmi7d+lSxcWL17Ma6+9xvXXX88HH3zAsmXLtBpdAB999BE33HADQ4YMAWDEiBHccMMNzJ8/X9tnzpw53HrrrQwbNowePXqQnJzM0qVLtfstFgsff/wxFouFzp07c8899zB69GhcLldFPyUCgUBw2bBxoyJcpuPAgQs3TjzYceMM/O3g0CFlv1hh6VL4/e9DBRdAdrayXfdRUa6sWLGCbt26UatWLerWrcutt97KL7/8ErJPVlYW48ePp169elSrVo0OHTqwbds2Fi1axLRp0/j2228192jRokXs378fk8nEzp07tWOcPn0ak8nE+vXrASUcO378eJo1a0ZCQgItW7bkhRdeKNMcGjRooBkc6o/ZbKZ+/fra33Xq1Cmyb82aNct0vligUjldABMnTmTixIlh71PfFHruuusu7rrrrmKPN3bsWM2qLI74+HjmzZvHvHnzit2nadOmLF++vMTjCAQCgaB4dN+ZmY6DDDKw4EfCzHQcYfcrb2QZIl2MJknwyCPKY8Idx2RSHLB+/SJz5hITlcdEQl5eHpMnT6Zt27acO3cOp9PJHXfcwc6dOzGbzZw7d47evXvTsGFDli1bRuPGjfn666/x+/3cfffd/PDDD6xYsYLVq1cDULNmzSI50OHw+/2kpKTw/vvvU7duXbZs2cKECRNo1KgRw4cPj2zwVZhKJ7oEAoFAcHmiL/adjhsLSiK0BT9/42n+yt+L7FfenD8P1auXz7FkWXHAIjVmzp2DatUi23fYsGEhfy9YsID69euTmZlJmzZtWLx4McePH2f16tU0bdoUs9nM1Vdfre1fvXp1rVxGabDZbCHljpo1a8bWrVt57733Si26UlJSQv5u2rQpP/74Y6mOMXLkyCJ9EQsKCrToVawhRJdAIBAIYoLu3ZVcqHFZblw42U1zWrIHgKeZQT4JLEp10L27wQONAfbs2YPT6WTbtm2cOHFCW6l38OBB2rRpw86dO7nhhhuoXbt2uZ973rx5LFiwgIMHD3LhwgU8Hk+ZkvI3btxIUlKS9ndZVtjOmTMnpHg5wJNPPhmzDb6F6BIIBAJBTGCxBMpCLFGS5ruySRNd+2mKCycjuoLF4rjIkcpOYqLiOEXChg0wePDF91u+HHr0iOzckXLbbbfRtGlTXn/9dRo3bozf76dNmzZ4PB6gbMnmalkFWRcvLVwwdsmSJfzlL39h9uzZdO7cmaSkJGbNmsW2bdtKfb5mzZoVKTxeWpKTk0McPICkpCROnz59ScetKIToEggEAkHM0LqlROYIFws3OeiZ1VfbnsYB1t84mboeCbWCz7FjSqixe/fyW81oMkUe4hswQHHmsrPD53WZTMr9AwaU72rLkydPsnv3bl5//XW6B2y/TZs2hezTtm1b/vnPf3Lq1KmwBbftdnsRN6h+/foAHDlyRGtfp0+qB9i8eTNdunThwQcf1LYVTuAXFE+lWr0oEAgEgsucjAxav+Ng/36oWU0RBRJKdrnv6295b6mFfv2U5PTMUW7W984gLQ0yR7pLXTT1UrFYlLIQUDQBXv177tzyL29Ru3Zt6taty2uvvcbevXtZu3ZtkT7DI0eOJDk5mT/84Q9s3ryZX3/9lQ8//FDrVZyWlsa+ffvYuXMnJ06coKCggISEBG6++WaeeeYZdu3axeeff056enrIcZs3b8727dv57LPP+Pnnn3E4HHz11VdlmsexY8fIyckJ+blcWzGpCNElEAgEgpjDYgG7WelxZ0Gxka7jO9w4ScdNOm7cOJGwGFo49c474YMPoEmT0O0pKcr2iqjTZTabWbJkCTt27KBNmzY89thjzJo1K2Qfu93OihUrqF+/PrfeeivXXXcdzzzzjJZ0PmzYMAYNGkTv3r2pX78+77zzDqAk5Pt8Ptq3b8+kSZOYPn16yHHvv/9+7rzzTu6++246derEyZMnQ1yv0tCyZUsaNWoU8rNjx44yHauyIMKLAoFAIIhJzH5FdH3AnfyepTTkOG8wWiuc6kRZRWd04dQ774Tf/U6pH6b2iizPkGc4+vXrR2ZmZsg2uVCMs2nTprzxxhvUqFGjSBucuLg4PvjggyLHveaaa9iyZUuxx42Li2PhwoUsXLgwZB+1KDnAokWLShx7r169ioy1LPsWt109v7q4IJYQoksgEAgEsYlPEV0LGM817OJadjGGN7W7pzINC34cuJQ6XoHCqb16RX+oFosx5xVULkR4USAQCAQxiSngdPmwci//QvU11N8W/BRgj1rhVIHgUhGiSyAQCAQxiZWg6OrHakxAAXb0OetxeEgn2By7IgunCgSXiggvCgQCgSAmsQVE1yje5l4W4EDpZ6vmdAF8yB24cWICUThVEPMIp0sgEAgEMYlFVkTXvSzAqRNcDlxspjMATTiMExcunKzo6o56Er1AUBqE6BIIBAJBTKKKrm86TmBhigMLkpY0P4+JAKSQxaJUB5kjXLRuGZutXwQCFRFeFAgEAkFMooqu+EfuZ/8I2LgxgyNHYHUDyN1xEzwJ9TjB7u89JNSsuNZAAkF5IUSXQCAQCGISSyCnyxJnLVKSQe59NWeerElNzvDT8h9pNfIGYwYpEJQCEV4UCAQCQUxilpVwodle1B8wmU38UrsDAMc+KVsbGoEg2gjRJRAIBIKYxKpzusKR2/Im5cb2qie6ZFlmwoQJ1KlTB5PJVKQxtSA2EaJLIBAIBDGJmtNVnOiK766IroYHqp7oWrFiBYsWLeLjjz/myJEjtGnTxughlZm0tDTmzp0b0X4mk6nIzzPPPENGRkaR7RaLhdq1a2OxWDAFOpCPHTuWoUOHFjn2+vXrMZlMnD59unwnVwiR0yUQCASCmER1usy28HUgrhh2E8yCq/J/4K3XL5DSPKHCex4WISNDOaEjTCK/2w2SpOxTzvzyyy80atSILl26lPkYsiwjSRJWa+WRAi6Xi/vuuy9kW1JSErIs8+c//1nbdtNNN3Hfffdx9913k5SUVKT3pFHExigEAoFAIChEieHFjAxOzVnIURpgRWLehJ307g1paZA50l0hQicsFgs4nYrA0uN2K9srQAGOHTuWhx9+mIMHD2IymUhLSwOgoKCARx55hAYNGhAfH0+PHj34+uuvtcepbs6nn35K+/btiYuLY9OmTfj9fmbMmEGzZs1ISEjg+uuvL9IM+8cff+TWW2+lRo0aJCUl0b17d3755RcAvvrqK/r370+9evWoWbMmPXv2DDmvLMtkZGRwxRVXEBcXR+PGjXnkkUcApaH1gQMHeOyxxzSHqiSSkpJITk4O+alWrRrVq1cP2WaxWEhKSqJhw4batlig8shbgUAgEFQokqQ0jD5yRGmnE3XXSIfsl7WK9Nb4oh9VmbstXPuuk920oCHHuImv+ILOjMty03qJk8wRLpqX6cQynD8f+f6TJ4PHowgsjweeegqeeQamT4f0dOX+vLzIjpWYCBcRHQAvvPACV111Fa+99hpfffUVlsCL9MQTT/Dhhx/yxhtv0LRpU2bOnMmwYcPYs2cP9erV0x7/1FNP8dxzz3HllVdSu3ZtZsyYwVtvvcX8+fNp3rw5GzZs4J577qF+/fr07NmT7OxsevToQa9evVi7di01atRg8+bN+AINyc+ePcuYMWN46aWXkGWZ2bNnM3jwYPbs2UNSUhIffvghc+bMYcmSJVx77bXk5OTw7bffArB06VKuv/56JkyYUMTBuiyRBTHBmTNnZEA+c+ZMuR/b4/HIy5Ytkz0eT7kfuzJQledflecuy2L+Ec9/6lT5xxEuOSVFlhXVofykpMjyjyNcsjx1alTGq8dX4NMGcvLnE6H3+ZSxpePS9nmTe7S/Hbjk1FRZvnDh4vO/cOGCnJmZKV+4cEHZcO5c6JMQzZ9z5yJ+fubMmSM3bdpU+/vcuXOyzWaT3377bW1bfn6+3KhRI3nmzJmyLMvyunXrZEBetmxZyD6JiYnyli1bQo4/fvx4eeTIkbIsy/KUKVPkZs2aRfx/JEmSnJSUJP/vf/+TZVmWZ8+eLbdo0aLYxzdt2lSeM2fORY/btGlT2W63y9WqVQv52bBhQ9h9n3/+efnUqVOyJEna9jFjxsgWi6XIMeLj42VAPnXqVNhzF3mf6CjN57dwugQCgaCKk7nbQuslTsYC0wnmJuldo9ZRHpMv34dqshUOL27cCFlZylhbsJs/8jZ/4G3MyFrFeg7Bpk0Xd40uF3755Re8Xi9du3bVttlsNm688UZ27doVsm+HDh2023v37uX8+fP0798/ZB+Px8MNNyi1z3bu3En37t2x2Wxhz3306FHS09NZv349x44dQ5Ikzp8/z8GDBwG46667mDt3LldeeSWDBg1i8ODB3HbbbWXKJXv88ccZO3ZsyLYmTZqU6hi9e/fmH//4R8i2bdu2cc8995R6PKVFiC6BQCCowkgSDNzkYCxKX8PqnGUZd9CP1bhw4sTFos0O9knRDTX68n3EBW4XDi8eORK8/STP8seA4CrAHiIajxyBGjVKeeLERDh3rvQDVkOKdrsSZkxPV0KNpT13FKhWrZp2+1xgrp988kkR8RIXp7wCCQkJJR5vzJgxnDx5khdeeIGmTZsSFxdH586d8Xg8AKSmprJ7925Wr17NqlWrePDBB5k1axaff/55sUKuOOrVq8fVV19dqscUplq1akWOkZWVdUnHjBQhugQCgaAKo3eNQBFeTzILIMQ12rgxtCJ8RePL92m3C4uuRo2Ctx/kFe12HB7ScWtzadQo8nQqDZMJdKIkItxuRXC5XMoqRjWJ3m4Pv6qxArjqqquw2+1s3ryZpk2bAuD1evnmm2+YNGlSsY9r3bo1cXFxHDx4kJ49e4bdp23btrzxxht4vd6wImnz5s288sorDB48GIBDhw5x4sSJkH0SEhK47bbbuO2223jooYdo1aoV33//PTfeeCN2ux1Jqhp9M4XoEggEgiqM3jWajoNpODEDHmxFXKNoIhUUL7q6d4eUFCX8mc7ftO1u0nHjxAQsSnXQrZvMZ59V8EBVgaUKLgj+djpD/65AqlWrxgMPPMDjjz9OnTp1uOKKK5g5cybnz5/nT3/6U7GPS0pK4i9/+QuPPfYYfr+fbt26cebMGTZv3kyNGjUYM2YMEydO5KWXXmLEiBFMmTKFmjVr8sUXX9CxY0datmxJ8+bN+fe//02HDh3Izc3l8ccfD3HHFi1ahCRJdOrUicTERN566y0SEhI0cZiWlsaGDRsYMWIEcXFxIUn/hTl79iw5OTkh2xITE6lRakvTGETJCIFAIKjC6F2jdNzah4IdL+m4w+4XDfSiy2wN/aiyWOCzbm5cOMlgqrb9eSbjxIULJyu6uqMTDpWkUMGl4nAo26Po4DzzzDMMGzaMP/7xj9x444388ssvfPjhh9SuXbvEx7ndbhwOBzNmzOCaa65h0KBBfPLJJzRr1gyAunXrsnbtWs6dO0fPnj1p3749r7/+uuZ6/etf/+LUqVPceOON/PGPf9TKVqjUqlWL119/na5du9K2bVtWr17N//73P+rWrQsotbf279/PVVddRf369Uscq9PppFGjRiE/TzzxxKU8bdHloqn2gqggVi9WHFV5/lV57rIs5h/J/NWVgI7Ayr9T1JBlkN/gnpCVgD5fFAcuy/KRHdmyDLIHa/gd1BWXTfza6r/6HJVTU4MrLiOZf0mr0io7kiQVWb1XlSjP+YvViwKBQCC4ZFTXqPUSJWn+fuZTi1ze42720gIXTkZ0BYslOrlJKqrT5cNK2FTrjAxaA/sl8FktWJFY8KqPW8brxur1Rmu4AkFEiPCiQCAQVHFat5TIHOFiYYpDqwJvxceiVIdSLqJl9JOc9aKrJCwW8AZkWbtrvYYVcxUIIkE4XQKBQFDV0blGp20SyDDqLh8fvhN9h0tFFV1+Lq6iVGEm5QtnSxDbCKdLIBAIBIDiGlllReykJPsMdY00p8t0cW/AZ7KFPEYgiFWE6BIIBAKBhhkllCh7jRUwfo9yfikS0RUIL/oulN3pkmW5zI8VXP6U1/tDiC6BQCAQaKg5XUaLLtW1kiLIglHdMFWolQa1WbRaPV0gCMf5QBP00lbQL4zI6RIIBAKBhqUSOl2SGl4sQ06X1WolMTGR48ePY7PZMJsvHy/C7/fj8XjIz8+/rOYVKeUxf1mWOX/+PMeOHaNWrVqaSC8rlU50zZs3j1mzZpGTk8P111/PSy+9RMeOHYvd//3338fhcLB//36aN2/OzJkztVYFoDyhU6dO5fXXX+f06dN07dqVf/zjHzRv3hyA9evX07t377DH/vLLL7npppvYv3+/VkROz9atW7n55psvccYCgUAQPWLF6SpVeNFsA6lsostkMtGoUSP27dvHgQMHSv34WEaWZS5cuEBCQgImU9Vp/q1SnvOvVasWycnJlzymSiW63n33XSZPnsz8+fPp1KkTc+fOZeDAgezevTuk+q3Kli1bGDlyJDNmzODWW29l8eLFDB06lK+//po2bdoA8Oyzz/Liiy/yxhtv0KxZMxwOBwMHDiQzM5P4+Hi6dOnCkUL9LxwOB2vWrAnp1A6wevVqrr32Wu1vtdquQCAQVAb8Pj9mlNyVmBFd5kicrrKHFwHsdjvNmze/7EKMXq+XDRs20KNHj0sOi1VGymv+Npvtkh0ulUolup5//nnuu+8+xo0bB8D8+fP55JNPWLBgAU+F6eb+wgsvMGjQIB5//HFAaXWwatUqXn75ZebPn48sy8ydO5f09HR+97vfAfDmm2/SsGFDli1bxogRI7Db7SHq1uv18t///peHH364iHKuW7duuShhgUAgMALJIwUTfX0xIroiCS+alQ9Uf0HZE+nNZjPx8fFlfnwsYrFY8Pl8xMfHV0nRFYvzrzSiy+PxsGPHDqZMmaJtM5vN9OvXj61bt4Z9zNatW5k8eXLItoEDB7Js2TIA9u3bR05ODv369dPur1mzJp06dWLr1q2MGDGiyDE/+ugjTp48qQk/Pbfffjv5+fm0aNGCJ554gttvv73Y+RQUFFBQUKD9nZubCyiizlvOVZTV45X3cSsLVXn+VXnuIOZf2vlfOHtBq/7ur4BrUWnwXlCuj5LJetFxqMLMez4/ZF/x+ov5639X9HkiodKIrhMnTiBJEg0bNgzZ3rBhQ3766aewj8nJyQm7v9qhXP1d0j6F+de//sXAgQNJSUnRtlWvXp3Zs2fTtWtXzGYzH374IUOHDmXZsmXFCq8ZM2Ywbdq0IttXrlxJYmJi2MdcKqtWraqQ41YWqvL8q/LcQcw/0vl7T3n4feD2sSNHWL58ecUN6iLkZv5CR8Army46jjS/EnX4OXMXOcuLVs8Xr7+Yf0WirmyMhEojumKBrKwsPvvsM957772Q7fXq1Qtx1G666SYOHz7MrFmzihVdU6ZMCXlMbm4uqampDBgwgBo1apTruL1eL6tWraJ///4xY7FGk6o8/6o8dxDzL+38zxw4rd2uX6s23XWLjqLN9m2fAGCyxoUsfgpHpn0WFMCVqWl01O0rXn8x/2jMX41URUKlEV316tXDYrFw9OjRkO1Hjx4tNo8qOTm5xP3V30ePHqVRo0Yh+7Rr167I8RYuXEjdunVLDBuqdOrUqUR1HRcXR1xcXJHtNputwt4cFXnsykBVnn9VnjuI+Uc6f7McXFZv9vsNfc5MkpLQ7zdbLjoOOZBsb/KFH7N4/cX8K3L+pTl2pSncYbfbad++PWvWrNG2+f1+1qxZQ+fOncM+pnPnziH7g2Izqvs3a9aM5OTkkH1yc3PZtm1bkWPKsszChQsZPXp0RE/wzp07Q4ScQCAQxDohbXQMTqRXV0/6I1m9aLGFPEYgiFUqjdMFMHnyZMaMGUOHDh3o2LEjc+fOJS8vT0tqHz16NE2aNGHGjBkAPProo/Ts2ZPZs2czZMgQlixZwvbt23nttdcApT7LpEmTmD59Os2bN9dKRjRu3JihQ4eGnHvt2rXs27ePe++9t8i43njjDex2OzfccAMAS5cuZcGCBfzzn/+swGdDIBAIyhfJo8uHqkSiy6+KLk/VTBgXVB4qlei6++67OX78OE6nk5ycHNq1a8eKFSu0RPiDBw+GVJ3t0qULixcvJj09naeffprmzZuzbNkyrUYXwBNPPEFeXh4TJkzg9OnTdOvWjRUrVhRZOvyvf/2LLl260KpVq7Bjc7vdHDhwAKvVSqtWrXj33Xf5/e9/H3ZfgUAgiEViyenyl0Z0BfYRTpcg1qlUogtg4sSJTJw4Mex969evL7Ltrrvu4q677ir2eCaTCZfLhcvlKvG8ixcvLva+MWPGMGbMmBIfLxAIBLGO3xt0ukySwU5XoE6XHIHokoXTJagkVJqcLoFAIBBULLHkdMmB8/stIrwouHwQoksgEAgEQGw5XXhL43QFwosGC0WB4GII0SUQCAQCoJDT5S9aZDSaaIn0kThd1sCKcuF0CWIcIboEAoFAAIQ2jDba6VJdq9I4XVTRdjeCyoMQXQKBQCAAYiy86FPGIkfgdKE6XSK8KIhxhOgSCAQCARAaXjRedAWcrghEl6yKLuF0CWKcSlcyQiAQCC4nJAk2boQjR6BRI+jeHSwWY8Yi+4JOl7lSiS5ryGMEglhFiC6BQCAwgowMMndbGLjJQVZWcHNKCnzWzU3rlhJkZER1SLGU06UJqEgUqBZeFE6XILYR4UWBQCAwgMzdFlovcTI2yx2yfVyWm9ZLnGTujr7dFZLT5Y8N0RVRTlegH65JhBcFMY5wugQCgSDKSBIM3ORgLODGiRUfz/AUf+E5XDhx4mLRZgf7pOiGGvVOlzlWRJc1kkR6ZR/D3TmB4CII0SUQCARRZuNGyMqC6TgAGTdTceLCBDhwKdsPKfv16hW9ccViThelcbpEeFEQ44jwokAgEESZI0eCt5/jcQBMQAH2gBArul80iCWnS3OtInG6hOgSVBKE6BIIBIIo06hR8PZf+Zt2Ow4P6bjD7hcN9E6XSTa2Ij2lEl0ivCioHIjwokAgEESZ7t2VVYrjstyk60TXLP4PN05MwKJUB927R3dcfm8MOV2+yEWXKeB0mSXhdAliG+F0CQQCQZSxWJSyEC6cPBsILwK8wkM4ceHCyYqu7qjX6wrJ6TJadJXC6TJpTpcQXYLYRogugUAgMIDWLSUyR7h4v8FEbZsNL4tSHWSOcCl1uqKMrMvpslQm0WVXnS4RXhTENiK8KBAIBEaQkUFr4L3Vv0B/ZdPM6T5ufwosFkeJD60oZEnndMkGCxh/YCy20ogu4XQJYhvhdAkEAoGByJ6gUGjd3GtYCyBlLDqny2DRpbpWplKEF40OiQoEF0OILoFAIDAQ33mPdlvKN9apkX0xGF6MwOkyxwWcLr9wugSxjRBdAoFAYCB6oWW06MIXO+FFtQ2RKQLrTxVdFhFeFMQ4QnQJBAKBgeiFlr44qRHI3hgML0aS06WGF43OQxMILoIQXQKBQGAgIaKrwGCnRpdIbzG4OKrmdJUivGgR4UVBjCNEl0AgEBiIXmgZHV4Mcbow2OkqheiyxAvRJagcCNElEAgEBiJdCCbSx5bTVXlEl9mu7GP0mAWCiyFEl0AgEBiIXmjpnSZD0K1etMaK6LKL8KLg8kGILoFAIDAQveiKKacrRsKL5kjCi3HC6RJUDoToEggEAgOJKdGld7oMFl1qnTBzBE6XmtNllYXTJYhthOgSCAQCA9FXpDc8vKhzuowWXWr5h9Ik0gvRJYh1hOgSCAQCA/HnBxPp9QLMEEKcLgnZLxs2FHOgZEUkTpe6j9FCUSC4GEJ0CQQCgYGEOF1Giy4ptDaX5DGuVldpwovWBOF0CSoHQnQJBAKBgcSS6NL6HQbw5RvnHKnhRbPt4m2AVNFlQ4guQWwjRJdAIBAYiOzViS5f7OR0gcFOl1yKRPo4EV4UVA6E6BIIBAIj0btbwunSKI3oUp0uC378Pn+FjksguBSE6BIIBAIj8QQT6fEandMVKrKkAuNFl+pilYQ1PriP97wIMQpil4u/mwUCgeAyQ5Jg40Y4cgQaNYLu3cFy8dShikEvtAwWXabC4cUYEF2lcbpAcefiasRV2LgEgkuh0jld8+bNIy0tjfj4eDp16sSXX35Z4v7vv/8+rVq1Ij4+nuuuu47ly5eH3C/LMk6nk0aNGpGQkEC/fv3Ys2dPyD5paWmYTKaQn2eeeSZkn++++47u3bsTHx9Pamoqzz77bPlMWCAQlB8ZGWSOdJOWBr17w6hRyu+0NMgc6YaMjOiPSS+0DM7piqXwopqfFYnTZUvUia4LwukSxC6VSnS9++67TJ48malTp/L1119z/fXXM3DgQI4dOxZ2/y1btjBy5EjGjx/PN998w9ChQxk6dCg//PCDts+zzz7Liy++yPz589m2bRvVqlVj4MCB5OfnhxzL5XJx5MgR7efhhx/W7svNzWXAgAE0bdqUHTt2MGvWLDIyMnjttdcq5okQCARlInO3hdZLnIzNcodsH5flpvUSJ5m7DbC7Ysnp8see01Xa8KKRQlEguBiVSnQ9//zz3HfffYwbN47WrVszf/58EhMTWbBgQdj9X3jhBQYNGsTjjz/ONddcg9vt5sYbb+Tll18GFJdr7ty5pKen87vf/Y62bdvy5ptvcvjwYZYtWxZyrKSkJJKTk7WfatWqafe9/fbbeDweFixYwLXXXsuIESN45JFHeP755yvsuRAIBKVDkmDgJgcOXLhx4iIdMxLpuHHhxImLQZsdhRfwVTgmn97pMjq8GDs5XaVxusxWM1Lg40w4XYJYptLkdHk8Hnbs2MGUKVO0bWazmX79+rF169awj9m6dSuTJ08O2TZw4EBNUO3bt4+cnBz69eun3V+zZk06derE1q1bGTFihLb9mWeewe12c8UVVzBq1Cgee+wxrFardp4ePXpgt9tDzjNz5kxOnTpF7dq1i4ytoKCAgoIC7e/c3FwAvF4v3nL+tqser7yPW1moyvOvynOH0Plv2WIiK8vKdBwkcB4Hf+NpZmDBjwMX03HAIVi3zkfPnlGsxO4JXgco5///Ur/+/lCRVZB3wbD3jiq6/GY5ojFI2LBQQP7Z80XmLd7/Yv7ROE8kVBrRdeLECSRJomHDhiHbGzZsyE8//RT2MTk5OWH3z8nJ0e5XtxW3D8AjjzzCjTfeSJ06ddiyZQtTpkzhyJEjmpOVk5NDs2bNihxDvS+c6JoxYwbTpk0rsn3lypUkJiaGnc+lsmrVqgo5bmWhKs+/Ks8dlPlv2NAE6ADAfxnK0zyDBT8F2BXBFeDTT3eSl5cdtbHZzpzSbued/q1I3ml5EOnrX/N8XsjfX239kl3+X8p9PJFwK4rluPWrrcQfr3aRvaEvVqCAzZ9vptpvP4TcJ97/Yv4Vyfnz5yPet9KILiPRu2Vt27bFbrdz//33M2PGDOLiyrZKZsqUKSHHzc3NJTU1lQEDBlCjRo1LHrMer9fLqlWr6N+/Pzab7eIPuMyoyvOvynOH0PlXq2ZHjfjfx+sAyEAcHtJxa8Lrllva0bPn9VEb4xdxS7XbSfHxdB48uNyOXdrX/2vbP0P+btemLS0GR++5UPH7/FhQ6m317Nubui3rXfQxeSYbyNDh+htpNqglIN7/Yv7Rmb8aqYqESiO66tWrh8Vi4ejRoyHbjx49SnJyctjHJCcnl7i/+vvo0aM0atQoZJ927doVO5ZOnTrh8/nYv38/LVu2LPY8+nMUJi4uLqxgs9lsFfbmqMhjVwaq8vyr8txBmX/v3lZSUpSk+Xv5FwDnqM6zPIEbJyZgUaqD3r2tUS0fYdblUZklX4W8TpG+/mqT6eDfZkPeN/pwTUJSQkRj8KLsY/JRZH/x/hfzr8j5l+bYlSaR3m630759e9asWaNt8/v9rFmzhs6dO4d9TOfOnUP2B8VmVPdv1qwZycnJIfvk5uaybdu2Yo8JsHPnTsxmMw0aNNDOs2HDhpALxapVq2jZsmXY0KJAIIg+Fgt81k1Jmn+TewCIo4DpOHDiwoWTFV3dUa/XZZaC143CiezRpvDqRb/HmPHoVyBG0nsRQDIpHoJRYxYIIqHSiC5Qwnyvv/46b7zxBrt27eKBBx4gLy+PcePGATB69OiQRPtHH32UFStWMHv2bH766ScyMjLYvn07EydOBMBkMjFp0iSmT5/ORx99xPfff8/o0aNp3LgxQ4cOBZQk+blz5/Ltt9/y66+/8vbbb/PYY49xzz33aIJq1KhR2O12xo8fz48//si7777LCy+8UCSJXyAQGEvrlhKZI1ysShoGgB0vILMo1UHmCBetW0a/16DZF6xIrxdgRmAulEgfC6JLXw6ixMeYFLdByq+aSeOCykGlCS8C3H333Rw/fhyn00lOTg7t2rVjxYoVWtL6wYMHMZuDOrJLly4sXryY9PR0nn76aZo3b86yZcto06aNts8TTzxBXl4eEyZM4PTp03Tr1o0VK1YQHx8PKGHAJUuWkJGRQUFBAc2aNeOxxx4LEVQ1a9Zk5cqVPPTQQ7Rv35569erhdDqZMGFClJ4ZgUAQERkZtAb+/Oh78KKyadUnXnoPtGOxOEp8aEUR6nQZLbpiw+nSl6qIVHSpTpeRZS4EgotRqUQXwMSJEzWnqjDr168vsu2uu+7irrvuKvZ4JpMJl8uFy+UKe/+NN97IF198cdFxtW3blo0bN150P4FAEAPo+h12aleAxWIvYeeKRS+6hNOloHe6LPYIw4tmxenyFwinSxC7VDrRJRAIYqx3YCXEnx8UXd48Twl7Vjxmv150GZzTJceW0yVhxmKNLAtGEuFFQTFIEmzeHBvXSyG6BILKREYGmbstDNzkICsruDklRUkSb91SMqZ/YCVDLogd0WXRO11+YwWDJUacLlV0+bAS6WejZBaJ9IKibN3aiIcespKtK72XkgIvvAB33hn98VSqRHqBoKoTk70DKyFyfrAKvOGiyx88v8Xo8KIce6Ir4seI8GKVQZJg/Xp45x3ld3Gtu/7zHxMzZ94UIrgAsrPh97+HpUvDP64iEaJLIKgkFO4dmI4ivNTegQ5c9Frj0KcrCYohxOk6V1DCnhWPRR9e9Bvr0hSu0yV7hegSxBZLl0JaGvTuDaNGKb/T0ooKKEmCyZPVL6GmkPvkQJevSZOKF2wVhRBdAkElYeNGyMqC6TiYhhM3TiTMuAOCazoOjh9XrPPMkW4RZiwJnTL1nTfa6fKGvW0EhcOLsi/6JTRAl9Nlilx0+QPhRaOEoqDiWbpUcaj0qRWg/D1sGLhcQRG1cSNkZ5soLLhUZBkOHVL2iyZCdAkElYQjR4K3N9ADADMyfuA5/qLdd/9xEWq8KDEkuqwxJLpUpysfpVuGUQLG71XGIZXC6fILp+uyRpLg0UeDLlU4pk6F5GR47DEoVBe9WPTX1WggEukFgkqCrlMVU5ih3TYDWTQhhWz+wnO4ceLExaLNDn42OEcoZikIhhR9eQaHF2Vv2NtGoOZ0FRBHPAX4jRJdgVwyXymcLsmiiC7ZI97zlyOq038xTpyAuXMjP67+uhoNhOgSCCoJ3buj9Q7sh/I1bjEjGc671OUUeVTDjKyFGjkEmzaFt9arPN6guyVdMNbpsukT6Q3O6bIEnC6PKQ5kkI0uGVEK0SWL8OJlTdkcKdUWK3odNJmU62n37pcyqtIjwosCQSVB3zvwHIkAvMTD9GY9MkqoUcKsCK4A0bbOKwumGBJd1hhyuiwBp8tjVjpyyD5jnS6/KfIQuV84XZc1ZXOkwud0mQKb5s6Nfr0uIboEgkpE65YS3/aZRHXO48HGN9xAL9ZrlxULfm1VI0TfOq8shIiu88aGF60ERYLV6PAiitPlNSs5XRgcXiyV02URTtfljOr0m8rBvE9JgQ8+EHW6BALBxcjIIK91RwB2cgOPMws3TnbREoCPuDWwmtFNaip061ZC1mmUibS2TjQwe4JCS1+d3gj0Qsto0aU6XV7V6TJYdPlLs3pRdbq8wum6HLFYlIKmJSXSR0L9+rB3rzGCC0ROl0BQ6fBuVHqBJtU04T6jJM3X5QTXsJtMrmU7HXHhZERXsFieMni0xGQVfbMvKLSMFl029OFFg3O6VKfLEli9aHB4Ua0yHwmyVRFdiPDiZcudd0K7drBzZ9mPcfw4bNkCvXqV06BKiXC6BIJKRt292wCo1rwJmSNcLExxcICmAKSxn0WpDjJHuBQxEwPEYhX9ENF1wdjwop3gWGLF6fJZFKerMoYXMUgoCiqevDzYtUu5PXFi2Y9jZK6rcLoEgkpEQW4BzfO+AUCe+Syt+1zFfgk+HNUU3oNWCQfYtw8slkAyvcGhFrWK/ljAjZOr2Mtk5vAQ83DpSlvsk6Kb0BoiugqMc7okj4SFYLxE73oZgep0+ayBnC6jE+nL4nSJ8OJlhyQpJSM+/lip9tK0Kbz4olKN/tFHIyslocfIXFfhdAkElYg9731DHB5OmOpxRa8rAUWstBmiOF3JBQeivhqnJPRV9P/NPYzlTY5TX6ui78ZhTFVoKSi0ZAPDi97zoQLBirEujXp+yRpwugxKvFNzyUqT0yVE1+WJvu3P7NnKthMn4D//UcKN+/fDunVKS5969Uo+lskEqanRLxOhR4gugaCSIEnw0xtKaPGnmjfjl4PLeBp2SgMg2X+E/NP5RgwvLHobfxPdAGWFZQF2Q0tbWH3BkKJcYFx4sbDosuNF9hu3+EF1uqRK6XSJ8OLlRnFtf/Lygg2rLRYlP2vOHMjJgWnTwh/LyDIReoToEghinYwMMke6SUsD7yYliX7F6U6kpQV7LNZpXpe8QO2unK8OGTfWQuht/Nv4CAA/JuLwGFrawqJzujAwvOi7UNSVkTwGuUt+GWtAdPltxooutedjaUQXqtPlE07X5UAkbX8KN6y2WMDphA8/VBbq6DGyTIQeIboEghhHn4jeCcXp+oKbQxLRTWYTOXYlxPjbNweMHG4Iam0dB25uZTkAO2gfCC0GS1tE2+636KrA6/swRhtvXtFzF3a/ooVe7Bkuuryld7qwKaLLJJyuy4KLtf0pqWG1GnZctcrH5MnbWbXKx759xgsuEIn0AkFMUzgRHRSnqBfrSOfvIYnov9VM46rju8j7cb+RQw5BraLfeomTVfSlP2uIo4DpODCBrrSF46LHKk+setFlYHgxnNPlyzeo9Y4n2F7abw/kdBktuiylcbqUfU3C6bosiDTloLj9LBbo2VMmLy+bnj2vj5lcV+F0CQQxjD4RfSl3aNvT+XuRRPQL9RWnS/o1dpwuUKroZ45wscPeFYA4FJFjZGkLm6QTWgY6XaroukB8kW1RH4tO7Ml2xekyScaKLrkUbYBUp0uEFy8PIk05qGxdN4TTJRDEMNnZyu+anKYzWwGlx2K4RPRGqU0hE6yHY0t0kZFBa+Bop6fgS0gwF7BujRJSjLbDpWKVg0JL3xIo2qgCq8AUT4KcH7It2ujDi3KcunqxEjpdBo1ZUL6oqQnZ2eHzuoxqWH2pCKdLIIhFAsnzkyYpf/6dp2lEDgA+LGET0e3NFaer+skYE10BTIHaWHEU0KuXsSuI9OFFI0WXlK8ILC82PChOjWHhxQLdeeMCTpfB4UW5NDldduX5Mwun67JAbfsTjlhZiVgWhOgSCGIQNXn+zyfcdGQbf+YfAOzgBqxIrKFPkUT0pOvSAKh3br9xAy8BU6DfYZxsfEkLW4jTZWBO13llHD6TDW9AdKlCLNqErJqMMza8qOaSyaVwukxqIr0kRNflwp13KisOExJCt8fKSsSyIESXQBBjqMnz6gq/1fTDDBwmmfZ8gwMX/ViDExcunKzo6sZigfodAgVSpWzD3JKSUJtM22Vj2+4UHoM5Bpwun9mOL5DtYVh4MeB0+bAEVwJWovCiyabsaxbhxcuKO+6AmjWV2w6HUgg1VlYilgWR0yUQxBj65Pn2bGcoHyEDjcnBgUvL5Zpf38GIvmiJ6A3aJlOAnTg8ZO3IJqVrUwNnURR9eNFo9P0O9S2Boo2/ICC6TDZ8JhvIxokuvzdQGBULBAQMfoP6d5bF6bILp+ty5NdflaKnNhtMmVLU9apsCNElEMQY+iXQv1EXABMUSZ6fMwda/yH4t9lq5ojtCtK8ezmxfX/MiS5zIIxnwY8v34c13pjLj+yXC4ku40Sg6nRJ5qDoUquxR30smtNlxWQ12DW6BNFl9gunq7Ki9lg8ckTJU+3ePViH66abKr/gAiG6BIKYQ78EuhfrAfBi1ZLnVeHVpEnRx/5WvSlpp/Zy7sfYS6bXO0r5p/OpnlzdkHEo9aiCy6FiwemSTDakQJ9Bo3O6JCxadrLROV2UKbwonK7KyNKlRZtX16sHDRoot7t2NWZc5Y0QXQJBjKEulR6X5eZK9gGK+OrDWtw4MaHUuAq3VDqvXlM4Bb5fYk90WXSOkudsARgkugpyC0IufCEtgaKMdEE5t+Z0YaDoCjhdksmqCRiTUa5RWZyuOOX5swjRVelQeywWLg1x4oTyA7BgAdx8c+XN5VIRoksgiDH0VdwlzFjws5+0iKq4SylNYQ9YDu2P+rgvRhHRZRCFW+9YDQwvajldFjuSwaJLn9NleFK62lDPGvlHlFmEFyslkfRYBPjtN0WYVdZViypi9aJAECGSBOvXwzvvKL+lCswxbt1S4tt+k7Hgx4ONIygxx4tVcbdclQYoBVIreoylRe8oec/FjugK6cMYZfweRWD5zTZ8ZltgmzGiQT1vZXW6zPaAUPQLp6sysX59yT0WVVRRVrjJdWVDOF0CwcXIyCBzt4WBmxwhF4eUlIAj1VKCjIywDw2XGBpRMb+MDHhpA6x+nmxLU97+t1n3+DBV3ANjfO7THnQH6uUdoEVvaNLEyoJmyzFv3w5ud9HHRRGrrvVOLIkuq4HhRVnN6bLY8AdyulT3K9qo4UW/3ukySnSpDltpnC41vChEV0wQybVv6VK4777Ij6lvct2rV7kON2oI0SUQXAS1UOlYCFk9ODZLCQGu6+2ih1TognIJQk3l7Pf7AaWR9ciRkY2xB48BcAUHMeHnT9nTGZD9Gj80zqBNxDOuGEJE11njCqQWEV1+4wSgrDpdFhuS6nQZJLpkXyC8qHO6jBJdWiX8UpQbV50uiyzCi4YS4bWvuDyuSIi0GXYsIkSXQFACaqHSsYAbJ71Zyzr6QOBvBy6mr3OQkqZcUFo1l9jQJ4PzKy0M3lpUqI0LCLXMES5aX+Tcvr37Acirn1aqMUqYiMPDMzzJEzyHg2ks2uJgf2FhGGX0rXcMdboKndtqZHgxXzl3iOgyuGSEZLJgshssuoTTVWkp7kuq/trXMsI8ruKobE2u9QjRJRCUgL5QaU1O8xeep0+gjIO+UOkbWb1pvWQ9MxJcPO1W7k1HEUG9WM9GuiNhwYUTJy4WbXaw7yIiyJK1HwB/alrEYyRwTiAguAJjzDLekrfpHCXpvIG1sS6Eiix9S6BoE3S67EiW2HC6/CYrZs3pMih5pgyiyxKvPH9WIboMo/AXQFCuS+m4Q659C9dHlsdVmMra5FqPEF0CQQnobWw7oRfzofyHRYxlLIs0IXb+QvD+F3mEP/AWfVlLT9ZjxR8UQRHkJVQ/vh8AW/O0iMc4HQfTmIoZGS/WkG+aRlvyetHlyzO+36GKzcDwIt6A6LLa8AeaO6tCLNqoDpvfZAkmpRsUqiuT0yXCi4YT7gugK1DmRn/tW7++9MeuzE2u9VS61Yvz5s0jLS2N+Ph4OnXqxJdfflni/u+//z6tWrUiPj6e6667juXLl4fcL8syTqeTRo0akZCQQL9+/dizZ492//79+xk/fjzNmjUjISGBq666iqlTp+LxeEL2MZlMRX6++OKL8p28IOqoNnY1zjGB1wDwo/z3t+cbDnKFFmZUeyXO5jH+yXiOU59W/AyAFX+RivIXE0F1A42r1UbWFxsjQDpuzIHCnzZ8pOMOu58R6B2lWHC61NfRHgNOl2yx4Tc4p0srGWGOgZyuS3C6LLJwuiqa4lZy669pbzAGGaWbhoQ55NpXFipzk2s9lUp0vfvuu0yePJmpU6fy9ddfc/311zNw4ECOHTsWdv8tW7YwcuRIxo8fzzfffMPQoUMZOnQoP/zwg7bPs88+y4svvsj8+fPZtm0b1apVY+DAgeTnK4m+P/30E36/n1dffZUff/yROXPmMH/+fJ5++uki51u9ejVHjhzRftq3b18xT4SgXCmpFIRaqPRt/kA8BZygDlZ8vIqy5MaE8uE9gylMx8HzTGIycxnPAux4yccOgAxaRXmVkkSQL99HI98hAOrflFbi+NUxOnDjxslMHleaFqN800zHRUqKbLglr28yLeUZl0ivumx5VAPAhnGiS3W6ZKsNfyC8qDZ7jjYhTpdNef8Y5RqpoksVf5GghReF01VxZGSQOdJNWhr07g2jRim/k5NheRc3TRdmaLt+yJ2BrzVK66+/EfzM7N4d6tcv/jRqGHH1ali8uPI3udZTqcKLzz//PPfddx/jxo0DYP78+XzyyScsWLCAp556qsj+L7zwAoMGDeLxxx8HwO12s2rVKl5++WXmz5+PLMvMnTuX9PR0fve73wHw5ptv0rBhQ5YtW8aIESMYNGgQgwYN0o555ZVXsnv3bv7xj3/w3HPPhZyvbt26JCcnV9T0BeVNJKtsHBm8ebWL3lkfAfA30pExk0Wqtr8ZmdX0ZSRL+B0fadv9mIjHg4QJCzKzmXzRivIqOTuyScGHBxsN25VsUemLqTpx4cZBG35kCMtZTw/cTOXuLjIWy9QyPU3lhb7fof+C8U5XnjmJJP85YxtwBxxzRXQZG14MyelSQ3UGOV3msjhdccq+VoTTVVHok+QtSEhYmI6Dd0/0ps+J9ThwAbCZLtzEDgDOUp0kzvE0M8gngVfqOhg/Ho4fD38ONYz4wgvQt2/FzynaVBrR5fF42LFjB1OmTNG2mc1m+vXrx9atW8M+ZuvWrUyePDlk28CBA1m2bBkA+/btIycnh379+mn316xZk06dOrF161ZGjBgR9rhnzpyhTp06Rbbffvvt5Ofn06JFC5544gluv/32YudTUFBAQUHwYp+bmwuA1+vF6y3fi4Z6vPI+bmWhuPnv3mWizXtOxiIzPZD0CTAuy0XrJVP5ObU3ff4pMy37AL2B8ySwiLGspi99WYsDF3fzLm34kV5s4EdaU4fTAJrQWkMfqnOOTnzJN9yAk2m4cDK8sx+//2n8/vBjPrrtF1KAw7amNJElJG/JCc0tr/bww/AMFmxOh2x4k9EMYTlpHODtFo/QyeYlP99rWC6E7JeJR5/TdT4q78dwr703T0m8O29JAv8RLPjJz8vHYo/+k+P3KM+JPqdLKigot+emNP/7vvzAWEwW5MBTYZZ9xlw3JDXsao74/HLg08wqe4vMW1z7Ln3+kgQDNqYzDhk3TrZwM134ItCibL2232r60gXlM/lnrqYFewE4SW1cOJFPyoFQoynMWaBJE5nZsyVuu03mUocdrde/NMevNKLrxIkTSJJEw4YNQ7Y3bNiQn376KexjcnJywu6fk5Oj3a9uK26fwuzdu5eXXnopxOWqXr06s2fPpmvXrpjNZj788EOGDh3KsmXLihVeM2bMYNq0aUW2r1y5ksTExLCPuVRWrVpVIcetLOjnL0kwYc0TPIAJN1Ox4+FFHuXPzMfFVNbQm76H1jEOt+aEvMNIPmAYfVnHGnozHQfTcbCNjnTkK01wbaYzqxhAdzbSl7VsROnU2pPPebreC3Rrlc0Vpl1F8gv1nF2xk/ZATlxjvi1hP40OHaADvHj3R9R7+b9kHarGmb01SOMAY36+k3t+7kndFRdYfM0krmhyht0XK/xVzvjO+xim+zv71/0lzr+80b/2uT/tpgtw3pSgbfvkPx9jTbJFbTwq/uNKY7nTeeepFgjvHT2UVe7PTST/+7m799AZKPBD5k+7uAGluns0XyeV2hfyAMg+lhPx+c//dJarACu+Io8R177i5y9JkJlZl1On4qldO5/WrU+G/XL2/fd1yc7uxnScNGcvo/k3MtCXtWyhM59yi7Zi0Y+Su9SCvXxOdzryJXU5xZv8EQt+VMGVjhsLEtPIAGRq1Cjg+ec/w26H8nzbVfTrf/78+Yj3rTSiKxbIzs5m0KBB3HXXXdynK6Nbr169EEftpptu4vDhw8yaNatY0TVlypSQx+Tm5pKamsqAAQOoUaNGuY7b6/WyatUq+vfvj80W/Q8Wowk3/88/N3HypJXpODHjZxrTSOdvIats0gM5Ump+lAe7Jrj6m9YQyFenBxs4TwJmlJBiN7Zo507HhRslrNfHuoFDh2xYLC8DcFUJY974/NfKORs3Z/DgwaWa7+53d9JjXQbbuZEOfM1o3mQDPXnw5CwGbHqNH4ZnlPqYl8q5nHMhfzeqXYduURhDuNd+6yenAfDF10SNePbq0osaqTUrfDyF2ZyxFoAa9epik71wHBrUrUv3cnpuSvO/v22t4gCa7fG063ADAFakqL9XAL6xvQpAalpTOkd4/qONDgNgw6uNWVz7ip+/2eVi189WBm12kp0ddJ2aNJFZ0dXFNS18+J3BCEBurrqPTIvAAiF1Sxe2cjPBhWNqsrgabuzJRgBqcyogsNCur+o+YCI3N57atYfQs2cZC3gVIlqvvxqpioRKI7rq1auHxWLh6NGjIduPHj1abB5VcnJyifurv48ePUojXVbz0aNHadeuXcjjDh8+TO/evenSpQuvvfbaRcfbqVOnEtV1XFwccXFxRbbbbLYKe3NU5LErA/r56/MJ9tMMUC4gvkCOAijLnruxkYGswo+JB5gfXPasuyY8zizMgcdakUjHrR3j1fpOhnfKp83HM7jK9zPHfj5Jg7YXz/uzHT4IgP+KZqV6zSQJbtkylbGYtW+dd/E+2TTBGVjAvWirg33m6C67lvND46gmjzeq70X9a28KhGq9cdW1+/0X/Ib8b5gCqzbM9jiwBho2+6RyH0sk//vmwHtaNluwJ8YDSiK9Ec+LWh/MEhcX8fnjk5QIgRUJ2WLFZA4KCXHtKzr/zL122rznZFyhlYV/yp5Om/cylALOusekBtJYe7Gem9kGgBcrNhSH1kyoUPJg045blxNM4kWG8DFp7OMe3goWly60qvH4cSvl/VJV9OtfmmNXmtWLdrud9u3bs2bNGm2b3+9nzZo1dO7cOexjOnfuHLI/KDajun+zZs1ITk4O2Sc3N5dt27aFHDM7O5tevXrRvn17Fi5ciNl88adt586dIUJOEFs0aKD8tuDjeYKOoyqaFGRSyAaUC0rhkg916gRXDDpwYcOnlY1Ix039+krNmuv+93d+jr8egF8WbYxofNVP7AcuXqOrMPo6OU6U8HUNzuLEHRibQ+tdFk08ZwslqxcYl7wuFyj2lmSLx4NysSxcuytamLyB89psyAHRdcmJLGVEXTXpN1sNr3mllqoozepFa3xwX1++WMFYEmoRU/31CggpYjposyNkJXeXLsqKw9cCK7e30RE7XtYEOnRIOjnhwYYdr3bcx3iBvVyFGdhD82IFFxhf2qaiqTROF8DkyZMZM2YMHTp0oGPHjsydO5e8vDxtNePo0aNp0qQJM2bMAODRRx+lZ8+ezJ49myFDhrBkyRK2b9+uOVUmk4lJkyYxffp0mjdvTrNmzXA4HDRu3JihQ4cCQcHVtGlTnnvuOY7rLBLVKXvjjTew2+3ccINiyS9dupQFCxbwz3/+M1pPTZVD30xVFVDHjkXQVDqwYnHMRuWffQkjqMtvXCCeBJQyBqpDtJzBXEsmAAXYtZIP6oXig+vd9F6nXKD07pgpcIyRfcFuV7bntOxJy2+/5dSyz3nnprsuOs56EdboKoy+To4bJ1OZhgV/iINXeL9oUETUxIDo8lvteLBjx1ukH2O0MPkCAstuD4ounzGCQV29KJst2kpAC8ZUpNdElzVyO9aaEHQbvOe92BKrrrN1Mdav1xcxlQMiyI0db5Eipn03Bld5Tzv+AM35BQkTI1iiLSpaQx/6slY7vrtQd4zpOHiDMbhxYkUq8gUWLo9q85FQqUTX3XffzfHjx3E6neTk5NCuXTtWrFihJcIfPHgwxIXq0qULixcvJj09naeffprmzZuzbNky2rQJtv594oknyMvLY8KECZw+fZpu3bqxYsUK4uMVe33VqlXs3buXvXv3kpKSEjIeWdc4yu12c+DAAaxWK61ateLdd9/l97//fUU+HVUTXZmH8VkZSFgYFfjnTcfNbiT+mJJRbFNpdcnzOMCEn9/zIQCb6EZ/VgPwMYNx4+S+QDHU72lDW77XchDUkg89u0lkNnSxcJPSZkdlUaqDEV1Rzh8Yc418Jcydsm8DQ0Ypm4trfl2aGl2FKVwoVUlapUjYM9rfJos4XR4DRZe6Ss9qx2OKAznPsF6QZk102ZBtseN0aaKrEjldepElnK5iCFw/h69UBY9MEkq+pR1vkSKmw4fDF9U30vrgWsYCPfgcgHcYxT+5VxNc6+lFX9ayll6so0+RgtEAHVEKmUuYi3yBVans1eYjQhbEBGfOnJEB+cyZM+V+bI/HIy9btkz2eDzlfuxo8+MIlyyDnI5LTif8bUfg9o8jXLIsB+d/4YJHTkmRtX1/4BpZBjmPBFkG+RMGyTLIG0w95J9Tesmy0o9VHszH6s0ix5ZlWfb5ZHndOllevFj57fOFH7P6U5uTxR5LlmX50Kb9sgxyATZZ8kqlen58PllOSQkeew3KPL6goyyD7MAlp6YWHWNFs/v9b0Oeg/VtHozKecO999f1my7LIH/e8l45x5wsyyD/9O7OqIynMJtThyvPx7AX5XUdn5BlkNe1n1xuxy/N//7no+bLMshbGw2VD23cJ8sgnyOx3MZSGr6vprxft6V/FPFjfAU+7f118ucTsixfXte+slB4/vrrJ8jyNBwh/5cyyC/xkPaneq1cTR9ZBlnS7aNuN5tleSpTtWOqj5vKVDklRZb/nuCS1xK8nq6jZ8j1GpRr1ocfVvz8K4rSfH5XKqdLULUp3Ey18Dep6fwVoEhTaZVNm0yapW5CxhVYVZjIBRy4eJPRHCCNrvJGvjPfBsBRGrCSAdoxirhYKN/MiuuhGK4BbHc20pbvwja/liTY+s5+7gKyLU25wlS6tMvChVJ9WOjDer6jLZ9wKy6cjOgKFsulteQoLYXDi2YDnS6tIKk9Dq9J6RhQuAl2tFCdLpPO6TIZ5XRJanjRqlWkt2KMY2Qpg9NlsVvwY8KMjO9C1azLVRKFr0U9+Zx+BPOZf6MWdTjNROZxjurkUU27zv6dp/mZ5lzFPiTMTGReMAzph1pzMmjYEFZrqR4OGjUCR3fYfQ+0XrKeNxjNGN6kLidDejP26Q09Vjkuf4crgBBdgkpDaDNVJQ/Bryuw99dCJR/UnIQePZT79XlM2+mg3S7AjgWJ0bzJl9xER77iyoPrAPjAOpKV3Z+hXm2Jkw9nBPKwIhcs+jHfxkd0ZDsfMgwrUsg4D43P4HyBEjbtk6WIrr1SGj3SwocgS6J1S4nMEUrYc0TWLECpBh9OMEaLwg2uTd4YEF02O15zHEjGNeA2S8pYTHYb6pItre9gtAmEF/U5XUaJLrXRtprQHylebMThQSoQ4cXC6K9FTdnPvSzQ7nPgYh4P8TPNqcdvPMVMbfv0wNfbq9iHjNLSp3BOVsOGUFzpP/V6tGTtEMYcU0QXwBupDkZ2hd4tJagigguE6BJUIvSi6SN+h5upIcuUTSiVHN7iHm3b8OHweb+/09K0i6x7h2jb5zAJUMo8xOHRCpl+Rn9AWfEHYPIV0Hudk8wRrmLdrEjH/Dz/xxJGhk0kzfzZwuCtSnsNcyAPaz9pjMtSXKvMES5aR3rSjAxaA/slWNrTCpshpUEB+/ZF3+FSKewkWYwUXdqKQTs+s8FOV6DyuineHmx54zPY6bLocrrw4/f5MVuju9DdUkbR5cNKHB7hdIVBfy3KJViTTn8t6sJWdtNSu5auYBCD+BQH04FgWZ3COVkl5ogGrkcf/3oAroKG1pOsWynTvYfJsOuRkVSakhECgf4fWw0l+gu1kjABX9KRWpwC4MHf3LR5L4OD2TXp1k0mJQWe5zFasgeAa9iFA5eWEDqQYG21Y9TnQeaHXT5dljFfE1gJCUWbX4/dG1y+/Tv+C0Az9hW7fDsSLBao30QRFYlW41oAAUjnQ0WW2Wtcw2uTGtq0Gy+6LAHRZdY5XWaDRJfe6dKXX5A80XdG1fBi6UVXoASIEF1F0F+L/sDbgFJnS38tupt3MYFWM/4LOrGEYDu8NfQJKY3jwE1qamQrDi0N6iq/fR56dTxfZcKJhRGiS1Bp6N5dWfHnwM1tfALAOnpr96vtdupzgq+5galMxY0TJ9P4w09zkCR4s7mbx5gLwAoGspfmTMcRIrxUGnD8kmtb6cc8FTerA8c/QrJWH6dmTaVY63QcTCWDG/kGgH6sueTzm+LUD3JjRIVKYdFl8RnndGm1seLi8FmUAsWFxxctzP6A0xVnA3sgvGiU6ArjdIExKwHLHF40Kc+hCC8WRb0WzeQJGnIMP9CII5qAWk1fLYerNqc5Rj0syNREqba+ll5aDphSB9CFCycrurojE1DVqmlfLDh5smImWQkQ4UVBpUGfJJ5LEjU4qzWeBiUp8ws6cjNf0owDZAQS7S1I/PnEbNLS0nn0RD6dSCCRC8zjoUK9v5S6RN3ZiB1vkRBgWWpbFU5sr8Y5urORRuTwJn9UkuvPoLUduiEguIByOb8pTnFyLJKxosufH3p+q4Giy6yKLrsdyaI8P4XHFy30TpdJzenyGyQYAvXBZIvF8EKjFlmtSF+6jyjJZAUZpHzhdBUmeC1S8jy/pj0nqcd0HPRivfalU73mNOQYPqxY8CNhoi/rQo5X6hxRkwnq1oWcHEV0XXFFuc6vsiCcLkGlonVLiW/7PEYNziJhxhVoOq26VSu4BW/gu4QMLGYUEhbcOPnzCTd7aU4iF9hPU27ga9w4aXuD8jVtOg4kLJrgKhwCLGttKy2xPcXBOaoTh/KBkMohTRSqNcAG8hkQmjdxKec3xyuiQs0dMgr/hUJOl2Sg0xVw/UxxMSC6/Mp5zXE2baWeYeFFNX5tsYaGFw1wjcqc06U6XUJ0haV1S4m91doChKzK/q5Gd/Zc0YcdCcE4YTrTtcLKFuSQa9GcObBvH7R+xxHxAh9AEV1QpZ0uIboElYuMDM42Vyr/f5/QkeaLXTz3nHKXKpps+JBRchI+YbAmyNxMZTrpAEhYcJGBExePHndoIUDVXo+noEx5C8WNufU7Dn75BV6t7+A5/g+A3qwnhSxNFP5ECxLIJ5fq/J2nWUuvSz6/KRCyMtzpCogutXm41UDRpSbxm+Ls+FXRdcGY8VgD4UVLgl17rQwTyD7d6kV7MF5kSE4XZRNdkknZ3+8R4cVwyM6pJF04BkDzB/qzeDGsWweP/JZB8wNrmHQ6g/r1Q5tRh8vhevjhMhYxFaJLhBcFlQ//55sAOH1tN0aOVL6gz50L47KUvmEOXNTjOI/yEq34mX/zB+7jn/RlNb3YAMBV/Bos2ZAFa3u76Z0VvqVPedW22rJFyd16nOfowxpuZCf3B6rer6MnvQPVnj+np9YrcT19Lun8qtNlNVh0qa13ck01qSP/hl0yLpFezW8zxcchWeNCxhdtLHJAdMXbNNFlWHhRdbqsVsxWMxJmJbRkpNNlK90nuyScrhLZ858faOHPIY9Ebn+mC3E1Qu+322F932A6RLlfC+vUUX7/9lvZJ1HJKbXoOnToECaTSWuJ8+WXX7J48WJat27NhAkTyn2AAkFhmvyqZJQn9O8GFM2bUi8UN/ANPdjEPSxmMJ9SJ7CiEYrmS9WrHaxtVWJLn0tAn5N1D2/zI9dqay9v4isATlGT2/hEE4QpKTCiW9nPb0kI5HT5jf0QUlvvnDcnUUf6DavfwJyugAA1x9vxW5XnxzDRFXhdzHE2zHGqK2mw02VRPhaUfB5jal5ZA6KrtDldPrPyHAqnqyiSBN/NXkkL4NuaPelULS7sfvo6f+V+LRROV+lF16hRo5gwYQJ//OMfycnJoX///lx77bW8/fbb5OTk4HQ6K2KcAgEAJ3ef4CrPLgCuHtNV2x7uQjGYT8mmCTXJLSK4CteZOflwBr16KbWt1EbawabU5VNLRp+TNYwPMYHmJlTnPAC1ORN04IBFi6B137KfXxVdVn9sOF3nbTVAAruBoksNtZri7fhtAdGVb1B4Ue90qTldRglkv5rTpbhLUiAUbIjTRdlEl18NLxYIp0ul5TvvsHvxTm7ZMpXXs5SSOO+f6c/dacUUXtbV+Sv3a6EQXaXP6frhhx/o2LEjAO+99x5t2rRhy5YtvP322yxatKi8xyeo4kiSUlX+nXdgzRpYNW0zAHus11Dr6nrBHQN5U/v3Q7qStkUe1bmL9wOlRhUulq+ltvQZOVL5XZ61ZPTlI9R8CSsSc3lE26ewA3fs2KWd05KgfPO3ysaKLgoUUZNvU+IZNtk40aWunLTE2/HbAt/2PcY8P7bA62KJN97pMgWcLrVIqy/wndwQp6uMoktSnS4hujQOZtekzXsZ3Js1lR6B9IpV9A8WXt4d/iJXIddCIbpKL7q8Xi9xccqFavXq1dx+++0AtGrViiNlWdMuEIQjI4PMkW7S0mB97wwyR7np1w8OvaPkc53xJZCWBpkj3SHf0iwW6Ns3eJhObAv7JleT60tVZ+YSUcOgat6Z5rIRFI/ltWJSO2eMOF2q6CqIV0SX3UDRpa0YTIhDDjhdRoku1emyJto10aXWqIo6hZ0uUyUWXSK8CChfWkftmouDaUzFRSIXOEwj7mDpJRVeLjOq6BI5XZFz7bXXMn/+fIYMGcKqVatwu5UPiMOHD1NXfUIFgkskc7eF1kuUtjjq6j6Au1kClNwiR3WU1MT6tfRiXaAoabA5toNFKQ5GXkK+VFnQwqAbHZAdukoIoDdrcePEhJJDUeYVkwHMgQ8tm9FOV0DUeAOiKx7jEulVAWpJsEOsiK6EYHjRqPy7WHG6ZL+MlbLV6fKbRXhRRZJg3jwzJ08mMIOnGcMbXM2vNOQobqaG9H7duJEytTkrNWoifRV2ukotumbOnMkdd9zBrFmzGDNmDNdffz0AH330kRZ2FAguBUmCgZscjEURSUu5gw8YpgkmgIM01b6pLdrsYJ8UtL8LJ9a7Cc1DCO1sH+XeX4F8iQMSbOjvpve6UNdLceDc5bZi0pqoiAqjRZfaeseXmASAHa8hPf0gVHTJdjW8aIzzZiOY02WJD4QXjRJdaqNtvdMlR981kjyS9sGkrxcW0WMtynMoe6qw6MrIIHO3hYGbHGRlKa/lLB7nan4ttmF11IJUIrxYetHVq1cvTpw4QW5uLrVr19a2T5gwgcTExHIdnKBqsnEjZGUpAmQo/+FO/hNyvwxMZk6J39SKW4ETK53tLRbo3UMis6GLRRW4YlIVXaqjYhSq6PJXD65R95zzEF8rPupjsQWS+C0JdmWNPLrWQNEeC0GnSw0vWo1OpA84XUaFF335Pu2DqfROVyC86K264UV9lGA6DsaxQGt9VqaG1eWJEF1lq9MlyzI7duzgl19+YdSoUSQlJWG324XoElwykqQkzIMSamvPN1qhUz8mTMiYiKBFjm4Fzrp1Pj79dCe33NKO3r2tsdPZviJXCQVQRZcdg50utfdjUlB0FeQWGCK6VKfLmmis6PL7/FoYzZoQdLqMyukK63QRfadL33aotE6XP1DuQq6i4cXCUYJUDjGWRdr9a+hDP9ZoaQ3llcYQMaroOnVKGWwV7HpdatF14MABBg0axMGDBykoKKB///4kJSUxc+ZMCgoKmD9/fkWMU3C5E2KJQzwXeA2l7pv67Uz9gApX8qG4b2oWC/TsKZOXl03PntfH5P+4ukqoIrBVC4ou2S9jMpsu8oiKwayG72okads8uflAzaiPRQ21WqvFQWBRkNmA8KL3vBe1UpKtml2rvm6UK2kKOF1qbpkmurzRrUivr4BfetEVCC9WUadLHyUAQlIy1tA7pGF1eRZ+jhg1p0uW4cyZ4N9ViFInVDz66KN06NCBU6dOkZCQoG2/4447WKNaFALBRdCXgli/Hn78KWCJZykLMxy4uZpftP0/p6d2ezrp5dei5zLHGigZYUY2pJ2Litmntt6JowBFCHrOGpRHFRBdtmp2rSG4WqU+mnjPB8WVLTHodBklusyFnC6/QU6XPpxZWtElBxLpq2pOl97x/xt/RQ7c9mGmH2tD9l2U6lAWIUVxIRF2O1SvrtyuoiHGUjtdGzduZMuWLdgDtrxKWloa2dnZ5TYwwWVKIUdLxWJx8BnrceOkITk8QNAxXUMf+rJWW+GnrvZzBko+RPWbWiVDdbpAyaEq7YdYeaGKGnNCHAXEEYcH7zljRJcaarUmGiu6fBfCiy6LUeHFwk6X2VjR5cdU6oUWfqvyHOKtmqJL7/jPYRImlBxYK/6QyMCcOWr/RAOum3Xrwrlziuhq3jz65zeYUl+B/X4/UpiiHllZWSQlJYV5hEAQpHCSp8oUyU1f1rKGPkzkFW27AxcWJNbTK2R/CxILUjPKLeH8csVePSi6vHkeqGdM3qVFdboS4vCY4kA+a4jokv0ycSjnDXW6jAkvqljjrZoraTMsvKiWjFCdrsBvg3K6JCylDsXIMRxelMLmbpbvOfTlch7lJQC20IUVDArJ4Spzw+ryoG5dOHBAOF2RMmDAAObOnctrrymNek0mE+fOnWPq1KkMHjy43AcouHzweKDXGgf3o7hVVnxMJ52neEZzr6bjQMKMGRkPthCh9fTT0KcPHDvmoFEjcJRjwvnlii3Rpt3Wf8hHG7X1jjnOjsccDxL48qIvdJRyBErQxZ4UhzlByaqyGOF0nQ/ULsOKzWzSVupZMTinK7B6UQ0vRlvAqE6XDyu2i+xbGLVvZEw5XcW4+ykpxbThuQT05XK20onObOMrbjIuhyscVXwFY6lF1+zZsxk4cCCtW7cmPz+fUaNGsWfPHurVq8c777xTEWMUxDgX/QYXuOj0XO3gxAnF4bqSX5gaCBGaQBNcU5mKWf1QxBtiiffvH6UCfpcRJrMJDzbseBWnyyC01juJcXhNitDxno1+gVTPOY920bNVs2OKDzQEl4wLL3qwYyOYf2czSHSpOV2mgNNldHjRV4bF9XIMhheLc/eLK+4cCfprboMGyrZjx5Trb4/mSrkc07vLQYavuAko31I0l4SaPF9Fq9KX+l2dkpLCt99+y5IlS/juu+84d+4c48eP5w9/+ENIYr2gChDhNzj1ovNnlCT4B3mFP/IWEFyZOB0H6bjJCORtnaEGz/F/xixrvszwYMeOV3NWjMAqKaLLHG/Ha4kDH0jnDQjp6YSnvbodiya6oj8WVXT5An6OKrrUFjjRxiSH5nRp1d0NcrrU1ZOlQRNdvtgILxYu4dCU/UxkHo8zq9jiziWiu+aOz8pAwsKogJBLx81uJP6YksGnN2fQXv4KgCvurMGqB3yxUy5HOF1leJDVyj333FPeYxFUMiL5Btey0EXnNv5HR74KOY4VidX0pS9reZfh3M177OIapuPEhCk2LPFKjDfwoW6o06VWgU+Mw2tWnC4jwov6FZPWeKsWXrQa4HRJ+Yro8poCCfSB8KK60tRij27Sjdkf6nT5tZWA0RUwqrNWFqdLLewaK06XvoRDR7ZxLwsYyxtYkcrUhqe49mgQXGA0LstNmw+mAXCGmnQc5aNnTzl2yuUI0VU63nzzzRLvHz16dJkHI6g8FP4GZ8HHXB7jYV4K+Qa3cH3wonMd3zGcD7Rip0doQCOOsYq+9GcNa+jDroDRnhn4HTOWeCXGa7KDjLFOV6AKvLVaHD6LUhDVf8E4pyufOOLNJkMbgquiy2cKdbpAyb+LvugKOF32UKfLqJyuS3K6YkR06Us4/IYiNqxIEbXhKZy20aVL6DXXgQsH0zThNZWpgJK39V9u53d8xN7aHQxptVUiQnSVjkcffTTkb6/Xy/nz57WK9EJ0VQ3Wrw+KKSs+MnAxtVB+FoeU/VSSOQoEQ4pz+D+e5Ul+o65Wdyst4RhcgPh217BuTvlWZ6+qeE02kIMf8kagb73jsSrukpHhRQ924gPjgaAojCaqCFZFl37Rg74qe7RQnS5zofCi7IvuFx7V6SqL6MKmPIdadX2D0Zdw6M06QCnhUGJx52LSNurVgz+fcGNBYg6TcOPU6nABTMWFGRkHLppyAIBDyR0wphxyCVTxnK5SS+BTp06F/Jw7d47du3fTrVs3kUhfFcjIIHOkm+HDg5vqoPzzqDVhnuEp7T6/X/l9DZn0YCMQrC5/LT8AcD3f8mp9pVBfTc8xAK6+7Rp69aqSXSLKHa9JERbSBeOcLn0VeMmiiC7/+egn0msrBgPPibWaMhabkU6XOdCUXC+6LkRfIGs5XYHwolwJnS4tvOiLDadLLeHgwM0VHAKU6+RsJoct7ixJsG5DaKFolT+fUFr3SJi5nm+1Y6mYkfFiZToObgqkcJy88qaKnmLpEU7XpdO8eXOeeeYZ7rnnHn766afyOKQgRlFzCh5EcbmG8DEP87J2vwn4lEH0D7SbePVVcMe5GVPwqvJ4WnEtu7TeXwDN2cPPO8+TVO9pvEv+BkByn9Ku5xEUh5ozZKTossuB2ljV45BsAdFlQHhRzSPTRJfWENyA3ouB/oCSmtOlCycaUd7DojpdanjRYozoKhenK0YS6fUlHPRsoAdnqBXMV3VLZO62MGCjg+xsB+kEW/j0Zi1p7OdK9uPAxSFS6RNwzSTMWPBrx7Xh4+88xbX8CEDtAe0hINBiBiG6yulAViuHDx8ur8MJYpDCeVxJnOUh5hXZrx9r2UZH/sdtcBLSdcmek5lDOopF7mQaLqZiwc/hVT9SLaU2TSngAvE06dI0ehO7zPHFgOjSnK5EO5JNyemS840L6anJ/Gp4URWF0STodAWEgtmk1OzCZ4jTpTbaLuJ0RVnAqOHMS3G6TFJsOF2g5KN+c9MEbvjqNW1bO3ayMHWqlq+qfpkdh/JlVqmrJRfqndiHV7mf/aQBsIeraK5rlXaeeBLJZwozAThCMo/MvIIFV87AvH07uEOdM8OoCNGVkaEoXIcj5LbZ5aLLf/8bnL/brXyQZWSE3o4ipX5Xf/TRRyF/y7LMkSNHePnll+natWu5DUwQe4Q2U5VxBxI3ATJwBlbTKNs68pW2SnEXrbiGn9hHGh35EhdTceDijVQH9x59gys8v3Jy7becu6IhTYGD8S1pGeUk4ssZ9UPdSNGlVYGvHoc/4HQZIbrU58AXcLrUNkk2I50usy6BHhs2fCH9B6OFORBeVJ0u2Rz4HzTI6fJfktMVO6KLjAzOH30LdKKrT91vce5T8lUlCQamoX2ZBfiYW7mP10MO05e1/MC1JHKBXKprgsuBi16sp2+h3opnqMmfDk9nwOHX+KFxBm0qco6lQRVdeXlQUKA1nY+IYsQVFgs4nbB2rVJBO3DbBNT//nv8desqIsvpBJcr9HaUKfW7eujQoSF/m0wm6tevT58+fZg9e3Z5jUsQg+hX2HxNe+22BxvTUJYoJ3GOJ5gV8rjqnANgL1drguvV+g6y9sKWLkO5Ysfz+Hd+x/ljTQA40bA1LSt4LlUJ1eny5xsjuvw+P7ZA7SlbNbsmusiPfk6XJrrUPKrqyljUfozRRH09CosuuGDIoge156PZFnC6LMY4XVp40Vx60WWyBxq8x0givYr3x58B2GdrTjPvHpqd2anlq4Z+mVWElytQnxBCQ4gNOIEM1OAca+nFOvpozthq+tA3EHYEsFMQuN5OY9EWB/sjrQVW0dSsCWazkvD722+FVhEUQi+sICiuQHni1oYKTdavV44duG0GTrRuTb3165X7RoxQqsi+/LIiuBzRX6RV6kR6v98f8iNJEjk5OSxevJhGJT15gkpP8OWVmc/9gJIUr1aOB3iSZ/EUat6RShYy0J/V2srG48dhyxaw3ng9ADUPfIt1zy4AvFddE43pVBlUp0t1VqKN55yuIGlSHLI9ILoKjMvp0kRXwOmKw4Psl4t9XEWgOV2WYH9MNaRmTHixkNOltdQxyukqg0KwxV54EcB+YA8ABzr8HoArfPs4c+A0EPpl9l+M10rqADzLX7AiaddbAvcVYKcv60LKTvRjLW8SrJ+p5oBNx0lWlomNGytiZmXAbIbatZXb4UKMaugPgiJLHxrt1auoq+V0wrBhcOWVRYRYvczM4B9LlhgquKAMoktQdenSBerXh0WMIZVsPFhpQrZW7iEdN+m4seOlAOWDxBswU9ULReHaNPX7KaKr2ZlvqZ2j/HPEtROiqzzRRJdBTldBblBcxdUwVnSpz4EvsIJSFV0Q/eR1VXT5dU6Xln9noNOl5XSpossgp6ss4cWg0xVboqv2ccXpSujViSzLFQDs/+g7INTo+Td/DFmReJYaADzAfNbQG1C+6KolJwozhjeRAh/rkdQCM4zCeV3FCS2HIyis+vZVfp85EzyOXmB9+CH8+mvY04V8nbJaDRNcEGF4cfLkyREf8Pnnny/zYAQxiq5uzP3HXYzh3wC8zMNM4DUsgerKaj6C6mbpVygWYA9bmybtxlZ4sVKTM1TL+xqA+j3FysXyxGcxVnTpq8DbEm0QpyTSmzzGiS7VXbInBfNJPOc82Kvbwz6uIpA9qtMVRnQZmNOlVsY3SnSpqyX9ZQgvmmMwvCj7ZZpcUJyuujc3J7t+O1JyDnJ6/U54uIdWVuJPWdO0vKz3GcZ3XB+SSN+XdayhDxvprlWjNwHz6yuRA4B0pmPBX+z1NmYoLLr0YUNVEDmdsG6d8lO7dlBgffNN8cc1mUCWFWEVeN9KVisW9T1st4PHExR0BhCR0/XNN99E9LNz584KHi7MmzePtLQ04uPj6dSpE19++WWJ+7///vu0atWK+Ph4rrvuOpYvXx5yvyzLOJ1OGjVqREJCAv369WPPnj0h+/z222/84Q9/oEaNGtSqVYvx48dz7ty5kH2+++47unfvTnx8PKmpqTz77LPlM+EYQGs9keXmavYCcIF4fFgDdWMsJAbabq6jV8i3K5XppGvCTF+bJq5GHPviFGfLioQPC016Xh21uVUF1JwhucAY0aWuGPRgU6pjBxJnY0J06URWtNskqaLLrxNdangxJnK6rAY5XZcgutS+kbHkdB3/4Sg1OIsfE6m9ruJCi3YAmL8PlnJ4s7mbaWQAcIK6/JG3mI5Du2a6A10++rGGaWQwHQdOXLhwsra3W6sFplaqj6dAF4FwkZIix1bvWrVAqtrhxuFQQn6qw3XihJL7tS6Qo3bqVOjjr71W+W3TpbJYLIrgUp2xAL9do4ucpKeHnscAInpXr1u37uI7RYF3332XyZMnM3/+fDp16sTcuXMZOHAgu3fvpoHaal3Hli1bGDlyJDNmzODWW29l8eLFDB06lK+//po2bZS1HM8++ywvvvgib7zxBs2aNcPhcDBw4EAyMzOJj1e+kf/hD3/gyJEjrFq1Cq/Xy7hx45gwYQKLFy8GIDc3lwEDBtCvXz/mz5/P999/z5/+9Cdq1arFhAkTovcEVQCFy0TsQynlsJN2PMEsLSn+yP0ZZO51MXqTA7LQXC5HoIG1BYlpZGCCIrVpvvO1pQXfA0qyff829pCG2YJLQ01INkp0qU5XAXFK0Dkgusye6CfSa6LLGmh0bbfgx4QZOcSRi8pYAq+HHMbpMiL/zlIopwvV6ZKiW5Fe7fVYJtGlOl3+2HG6jmzYQwMg29qU1BpxxN/cDjZAq33LyRzpDjSvlmhEC1rxM4sYy+PMwoLEgtQMHqmhODwLzyjXVhW1RVqblhKfmZVaYE61Gwjoyk5M5e4uMhbL1KKDizZqYrzqdP33v0HXye9XxJROMGmoDpbqVP34Y3Dlobq/JCmCa+1a5cflwr92LfXXr8ffqxdmVYy5XEHhBdF3vORKRMeOHeWHHnpI+1uSJLlx48byjBkzwu4/fPhweciQISHbOnXqJN9///2yLMuy3++Xk5OT5VmzZmn3nz59Wo6Li5PfeecdWZZlOTMzUwbkr776Stvn008/lU0mk5ydnS3Lsiy/8sorcu3ateWCggJtnyeffFJu2bJlxHM7c+aMDMhnzpyJ+DGR4vF45GXLlskej6fUj129WpaVd7ss/5tRsgyyP7AhHZd237p1yv4+n3L7uzunymt7u+SUlODjQZZTU2X5xxEuWZ46VfkN8goGaDt8yB2yA2X7jyNchs+/suPxeOTPGtwhyyCvu/U5Q8aw578/yjLIJ011ZFmW5fVD58gyyJuvGFHh5y782n8+8h+yDPLWxndq+5wnXpZBPrRpf4WPR8/6O+YWeR72xLWWZZC/mbOuXM5Rmvf+SVMdWQZ57/8yZVmW5XXt/09533R8olzGEikb73tDlkH+qu7AUj926+MfyjLIO2t0k2U5Nv73N4z9lyyDvL1Of1mWZfnAul9kGWQvFu06egX7ZQmTLIM8h0dkGeS1vV2yzxc8jnptXbxY+a2/T72eFr7epqT45c+6TZB96enRnHLxuJRru9y5s/K7a1fld4sWoQMHWTYpz4dsUZ4nuU+f4OPVv0HZ1qtX2Nu+9HT52HXXBefvUj57ity+RErz+V2m4qjbt2/nvffe4+DBg3g8od+ely5deulKMAwej4cdO3YwZcoUbZvZbKZfv35s3bo17GO2bt1aJB9t4MCBLFu2DIB9+/aRk5NDv379tPtr1qxJp06d2Lp1KyNGjGDr1q3UqlWLDh06aPv069cPs9nMtm3buOOOO9i6dSs9evTAbreHnGfmzJmcOnWK2upKjUqA2mS17ksZnDhlYfi3yreABhxlAKuAYO/EcEmaFouyuIReGQDsL9S0Ve2lGK42DUBdToY0zN4XK8ucKzFazpBBTYDVMg0eUyCsmKA4yGZv9MOLqtvntwb/Vz3YSSA/6g3BtfCiVR9eNDKRPjSnS2upE+X8KC2ny1L28KIlTHixcANp5Vp0aWONBGmXkkR/rkkLyMjg7C4zZ6hBTXJ5mYdw46QvazAjc4paTOJF5fq318E+3XG0a2s4MjJoTdHr7c03+/jss8H4Bw8mJi6j+nwtUMrGJCTAzz+H7mexKC9Ys2awb1/QwfL7Qx2uPn2UYzocwWKn69Zpt/1OJ1s6dGCwOn+9q2VQTlep39VLlixh9OjRDBw4kJUrVzJgwAB+/vlnjh49yh133FERYwTgxIkTSJJEw4YNQ7Y3bNiw2NZDOTk5YffPycnR7le3lbRP4dCl1WqlTp06Ifs0a9asyDHU+8KJroKCAgp0q7dyc3MBpYG4t5w/HNXjlXRcs8vFrp+tDNrsJDvbRHogUfPBwLqPP/JvGnBc29+KFJKkWb++D683/JJ7fc1cv1/5+fxzE1lZSp+w6pzlyUBtr55sCGmYvW6dj549L20pfyTzv1zxer34Ax+e/vx8Q56D/DN5gFKQ1Ov1Igc+1M2+ih9P4dfeH6gNJlltwftMdpDhwulzUX1+/IH/f7/Fqp1XDQV7z5fPc1Oa974FddWgX3nfWMzqQaL6vEiBXD+/yVL689qUMZtln3YtbfnOO+x662sGb80gOzu4NrBJE5kVXV1c08KHP1xIq5yIO6gICv+VV/HDrlzavDeV/TSlJrlsoxMJnGc8CwGozelLvv7pr7cxee176iks27Zh/uQT2LEDIKRMhr9XL8xqSDDwW1qxAvPf/oZl2jSknj3x//WvmCVJEVbq3J4K9Pz1erXb0Zp/aY5fatH197//nTlz5vDQQw+RlJTECy+8QLNmzbj//vtFna5SMGPGDKZNm1Zk+8qVK0lMTKyQc65atarY+xLWH2PAptcYh4npOEMK9RVGzdNS7pOZX+8v5OauotAahRLZsKEJoLiHT/EsTzALE0qytd5B+/TTneTlZUd+4BIoaf6XM6aA03Xq2NEiC0miQe72Q1wPFGBj+fLlnD2qfFmRz5+L2njU174gW2lVdrbAo537poDo2rH1K362H4zKeAA8gefh7IV8bSxN/cpHz57Mnzi63F/sY0tLJO/9AShO17YdX/F93k94A0vzz50+FdX3Td5BJXHpgtdX6vPm/rqPToDJG3xOE7JrMmCTi3FYmK67no3LdtPmvQxWdpvAhQ4VN7+WJ3YDcDBe5q7VT/AAJq1zx1wmUZfftH0Ll3kor+tfrF376nfsSJdPPgHAbzJhloPC8uSJE5wYOZKf776bFo0acc0777B7zBjl75EjMf30E7uXL4cbblAeEMF7pKLnf/78+Yj3LbXo+uWXXxgyZAgAdrudvLw8TCYTjz32GH369AkrJMqDevXqYbFYOHr0aMj2o0ePkpycHPYxycnJJe6v/j569GiIYDx69Cjt2rXT9jl27FjIMXw+H7/99lvIccKdR3+OwkyZMiUk9Jmbm0tqaioDBgygRo0aYR9TVrxeL6tWraJ///7YbLYi90sSXP3Q7YyjiXYx+C9DtU72ehy6RE21FdDdfWRa3vZ0qcZUrZoJtbpIOm5MKDW91EKr6jluuaUdPXteX6pjF+Zi87+c8Xq9rLT+D4A61arRbfDgqI9hZ6aSCCxZExg8eDBffl4An0K82c/gCh5P4dd+43PbAahWqw5dAuc+Yo4DP1zXsjWtB3eq0PHo2fjsNmUstevQNTCWH+2zIR+uvKIpHcvhuSnde19xurr17EZy+yZsnLsTgKTEBO25igab3tgPgL1a9VK/P77buwH+DTaT8t7Kz/fSbPwAHghc28zIuJgaWOgzFSfTWLjfwZ6BvgoJNfp9fvzeEQAk3TiYk+8mMB0nN/INd7CsiOAqXObhUq9/sXrtMwfKPsgWC2ZJQm7aFP/YsQDUnzaNOsOGcfXgwTB4MFKLFrSQJO1vgKsiPE+05q9GqiKh1KKrdu3anD17FoAmTZrwww8/cN1113H69OlSqb3SYrfbad++PWvWrNFaEfn9ftasWcPEiRPDPqZz586sWbOGSZMmadtWrVpF586dAWjWrBnJycmsWbNGE1m5ubls27aNBx54QDvG6dOn2bFjB+3bK61v1q5di9/vp1OnTto+f/3rX/F6vdoLu2rVKlq2bFlsPldcXBxxYXpO2Wy2CntzFHfsDRsgOxvtW6CbqSF9FVUKfwv7R10nI/ubaNNSCl26GwG9eyu1acZluXEFVjnqa3uZUFbn9O5tLbeLYUU+t7GMmhtj9vmMmX+g5pTPYldeg+qKk2uTCqI2HvW1NwfKH8hx8dq51er0cr4U1efHHGjsjD1OO69aPsLk85frWCJ57/sDTld89QTluQrkqJql6D4vJn/A4bOU/v/VlqjkC1pk5b3++ecmTp60Mh0nLdjDNDJw4MYaqC04HWVF4ObNNvr2Ld95SBKsWHCQ28jHi5W8+sFSOH9iAb/jv5gD6RsVff2LqWuf2w3TpkGfPpgCVeVNa9di0fVRtDidwb8DK9gv5Wmo6PmX5tgRi64ffviBNm3a0KNHD1atWsV1113HXXfdxaOPPsratWtZtWoVfcv7XVuIyZMnM2bMGDp06EDHjh2ZO3cueXl5jBs3DoDRo0fTpEkTZsyYAcCjjz5Kz549mT17NkOGDGHJkiVs376d115TGo+aTCYmTZrE9OnTad68uVYyonHjxpqwu+aaaxg0aBD33Xcf8+fPx+v1MnHiREaMGEHjxo0BGDVqFNOmTWP8+PE8+eST/PDDD7zwwgvMmTOnQp+PSyZQ9HT4yqCQknRvCRn4kpvoxFdhv4W9+y607lu2ZESLBaUsRNhlzrqyEhbjKgdfLqg5XSavMSUjtH6HgSrw1urKB6PVH/1EetTnwBZMpFdFV9QbgqtNmXWJ9GqZBL8nytXxfX5NABROpDdFu9BoIJFea7hdCtRyF1ZZef70VdgTuKDcF6gHqP8COXw4bBxw6WVqJAkOjc8g82cLY/c6uO74Hm4DfuVKJj9hJR03FiQkLNrzrUef1nFZXv/0jaYlSVkZoCbBFy7hEOVSJdEiYtHVtm1bbrrpJoYOHcpdd90FwF//+ldsNhtbtmxh2LBhpKenV9hAAe6++26OHz+O0+kkJyeHdu3asWLFCi1p/eDBg5jVZpdAly5dWLx4Menp6Tz99NM0b96cZcuWaTW6AJ544gny8vKYMGECp0+fplu3bqxYsUKr0QXw9ttvM3HiRPr27YvZbGbYsGG8+OKL2v01a9Zk5cqVPPTQQ7Rv35569erhdDpjvkaXWvT0QZR/9lv5H9P5q3a/CejEV8V+Cyt2JU2EtG4pkTnCxcJN4evPtG55ef7TRRu/VuTSmGRa/wVFXEkB0WVJDLTgkaIvukzqamu7XnQp44l2xX6Tmnyr+5asOl1ylOt0+fJ9qM+IxR4QOzaDRJfqRpZh9aIlXnn+rH7l+VOzRqx4uZWPtf2sSCxmJKN4B4AHf1O+AGaOcFGmfhi6rh1js5RFSPcDJ6gHgAmZP59Qrp9r6ENf1moNqyGYOzsdB4tSHIzsdple/yQpfN/DwkLLwDY9FU3E7+rPP/+chQsXMmPGDP72t78xbNgw7r33Xp5SVwxEiYkTJxYbTly/fn2RbXfddZcmEsNhMplwuVy41GWoYahTp45WCLU42rZty8aY6Sh6cQoXPa3PMSbwmtaiQL0w6Cl3F6qYZc5qWQlB+SCrVboNcrqCokv5WLdWC4guf/SLo5rUMhV60RUYl3Q+uiLQ5CtBdEW5ybTkCX7Aq06XSXW6ol1otBxEl7oSs1s3mbp1LzDj5MPEU0AeCfzItXRkOyNZwlmqc4grtELOr65xkOUJeXtEhNa1g1C36iCpAMSRHyK4nLhwF+rc4cZJn97QY5Xj8r3+leQiXsZCS0/E7+ru3bvTvXt3XnrpJd577z0WLVpEz549ufrqqxk/fjxjxowpNmlcEHts3AhZWYRdpTiVqZiA9fQKuW86jgpxoUqsPyO4ZFSny+wzSHQFamNJtkB4MSC67HL0nS5NeOryKVUxGHWnS309dKJLVrsHRDm86MsPCivV6VJrXpn8UXZcVNFlLYPoigsNL1ossPiaSQzY9C9AWSA0mjf5gTa0YjcT+CegWyB0XMk1Xd838lBj4S+woKxKvJfXacohAJpyCAcuLEispxev1lfOpfJGqoORXaF3S+nSkpcEMU+p39XVqlVj3LhxjBs3jr1797Jw4ULmzZuHw+Fg0KBBfPTRRxUxTkE5o891eJX7QxpTuwI9wEBpkdXnehheW6Lvw8KFqoxoTpdBoku+oNajUsSNLUkJ3RshulShY4oLWhlq2DP6oisgrHS2ilYoNcp1lfzeoLCyxgc+FrQ+hsY4XZTB6bImBJwuOTjmK5qc4ailEQ2lI6xgEBJW2rODs1THjJK7+glDtP3vP166UGO4L7CuQBqGSuFFSG/NgSZNhLtfFYmo4XVxXH311Tz99NOkp6eTlJTEJ4G6G4LYR19S7SUeBsCPSUuWV3nvPei91sF1H2bQq5eoDl8Zka3Ki2aY6ArkUfkDTpc9yUCnK5zosqpOV3THYw6ILrVfIAT7MEY7vBjW6TI6vHgJTpeNoGj9tsvvaCgp3zI/YyAAk3keM+BHyV39gk604xstb9WJi0GbHRHlcmfrymgtYYRW6FNNk9cvQlJp0kRx90eORFxXqxhlagMEsGHDBhYsWMCHH36I2Wxm+PDhjB8/vjzHJihnJAk2b1a+XTVoECzZcDfvAfAij3CSuuWaLC8wHtkWEF1hWqNEhYCYUUWXrbryO44CZL+MyWwq9qHljSWQ06UXXWpLIDnKTpf6eoSILoOdLj8mzFZzYFwGOV1S2Z0uNafLhhdJUjpfHPynUhA3M+FG7HUb4tCVqXmBRzlIKrXI5WtuxIQu1HgI1q+n+FISgeT5SasVh8qEn5X01wSXCSU3th9riixC6t691FMTXCaU6l19+PBhFi1axKJFi9i7dy9dunThxRdfZPjw4VSrVq2ixii4RMwuFwnrj3H1Q7eHfCv7e4KbKTjJI4FqXGA9vfgvQ0XJhssNu9qPzhini0C7GzlQpkF1uiz48eb7sCVGsTZW4DkwJwRzuvxW5bbsiXJ4MZzoUoVGlEWX6nQppQwUTAH7xRxlp8ukhhfL4HSp4UUbPlKbymRlW3mLrwH4RBrEWnNfmrM2pMhzUw5ymlqYUETndIKr8EsqJaEmz/8ZJbS4jN/RjANImLAg8wvN6MtarcyOuK4KoBSi65ZbbmH16tXUq1eP0aNH86c//YmWLVtW5NgE5cSun62BFj9NQtpg3HxBWZ1YjQv4MfE5PQFRsuFyQ7YZLLoCYka2BxyumsFyLAW5BVEVXepzYIrXOV1qza6C6D4/FjXUGUNOlw8r6mg0pyva4UXpEkRXfPAxf8p2MZ10BvIZALU9R2l+cC17rujD/PMOOKHs9wgvavlXZmT+y+38DqWLQ3GlJAonzw9kBd3YAoAFuYjDBeK6KlCI+F1ts9n44IMPuPXWW5VKsYJKgSTBoM1OxgX6fTXhMOlM5wH+QW/W8x6/ZzgfsMvejlcW1RZJnZcjgRwdi98o0RVwulTRVSPoMnnOFkBy9agNRRVdFp3okq2q6IpyTleglpRZPxZ1JaMvyiUjCoJOl4rZZozoMqmJVGUQXXoBO40MGnGYepwknzju5V84cbFIdnDwIDRtqiTNq+UiOrOVwXzK7XzMXB7hBPWLLSURmjwvh3TwcDJNE1ov1XTQuTWMbyGR8S9xXRWUQnSJVYmVk40bITtbaWJ9Jfv4M68G6nHJOHCREqhKuq9pL0aONHiwgoohILqsBjldJk9obSyL3YIPC1YkRXRFEfU5CBE6ATFIlMOLljDhRQx2uvQdKUyGia6yO13bv7XRL3DbzV9x8DcA4ikIydXati1QFmJJsAWZCT8/05yr+ZVHeQkovpTEkZYZ2jn/y1BNdHmwhZTfmTcPBv9BCC1BkEtavSiIffSlIRqiNOE2I+PFynQc9GYdADnX9DZieIJoEEiktxrkdJnC1MYqQLntyY1ugVS19ZBaFR+CuWbRFl2a0xWnF12BFYNR7h6gOV0mndOlhhflyiO6jp4MPmYOk/EHAofq9U7lyJFgR4xX6ijbZcz0ZIO26lAGNhLMeFdLSSxfaeHo0eA55zIJAAkzdrxFVikKBHrKvHpRUDlQS0M052cG86m23YaPuTxCC/YgYebvG7vTZeSl9x4TxB6muEB4UTZm9aLZU7QKvMcURzX5PN5zUXa6AsLTkqArOR4Yl+bIRQlLONFlUxteG+90BUVXdHOQgqKr9GksjVODj3mFBzEjI6Nc7/R9Yxs1AkYqHTHeWwP9AvbYn1gQSKhXHIm19GYzXfFipw/rFOdrqwO2BvrHSn3pE/jiei//JIUssUpRUCJCdF3mdOkC9erJvHFiNAAnqU1dTgFoFvo33MA9p166tN5jgtjFXrFOlxS2jVPwfrNapiFe53SZ4kEGX14Mia4ot0lSxxJOdBHlMg1+T/FOl8Wg8KKpDE5Xj54mPNiw42UE7wLwOvdxiNRixVCvXsHyOWopiTk8xm5a0IQjdGczAOvpGeKWfSb11VqlSZj5H7dxknpilaKgRIToulzRNWB99ISDzmwDYCRLeI7/oy0/aLvW5ziuQEHARZsd7JNEsb7LCdXpssnlLCp077EsXcPylBT4rFvQNdUKkupEl9ccB36i7nTZAkLHmqgTXYGwZ7RFl+p0hQhAw8OL4ZyuKIsuVeTZyvrxJIf89Sr38zXtixVDFkvg/arL7wJI4TA+LFjwA9CLz3mGJ3iKZ0nHTV/W8jNX04K9bKAHJwPNrcUqRUFJCNF1maJvwNqeHco2rqETX9CWHzhFTWpzBlDq1OiTTDduFL0QLyvsFSO6wjX5BcUx0LumFl/RgqResyJ0StNk+mKOWiTYAlXw1f6PgOZ0qY5ctLCqoite53QFkurNRoUXw4guS5RFl7ksTpfuC8AeXaryV3RgMMu5jf+xIDWjWDGk5nfNXx0sJZGOGwt+JMya8HqSWTzGXOx4ceCiP6towV5+ue4OFk8RLX0EF0eIrsuQwjVkTlIHgL1chZupOHCxkgFs42agaF8wffK9oPJjsisfQuUpusI1+Z2Og3TcRVzTcAVJVdHlOxdBIn2EjlokqM+BrVpQAKpiMNptktQcO73oMqk5XQaFF/3hwosGOV2mUjhd+i8AeVQnnt8AyKYxbpys7ZWBY3UJYihDye/K9ijvK30piek4eJ7HeIy5ANjxUoCdV7mfaYFVi+Y7h4rV34KIEKsXL0P0NWT+zR+oy2/IwO18rF1EBrASUJY4F+4Lpu/LKKj8qOFFO+UnKvTvMQcu3DjxYdE+qNw4OBRwTa0BpytEdFmUAqmROF3aB2qWO2S75qjtjtzuUp8DfXhRDXtGW3RZw4ku1emKcssm2RfG6bKpCzAMcroiFF3qFwD1fWhHeU/lE8dQPsLBNMbsdV7kKAp2u1IWQu2/qH4ZncwcNtBN2y8OD69xH2ZkttOep165gsyRbrEISXBRhOi6DNE7VbnUBJQ+YKqjpVZJduAiDo92sXLgJjUVseLmMsMcHwgv4kX2yxfZOzL077FlDAWUtj4ebEVcU4sUEF262liSJbLwYuEPVPXLgd5Ri7QxMQRFl97pUsdl9kU5v0xWC7Xqna5ATleURVcsOV3mUjpdhb8AJJEH6GtzOcnKMrFxY2TnV0ONC1OC7+N03PRgE1k01rYNRalduYyh/Pl46b8ACKomQnRdhuidqhwaAsFO96vpG2Kbg3KxcuLChZMVXd0iif4ywxyv/JubkZE85ZPcq3+PzeNB7XbhOkWNGulWDOpqY/kC/Q79F0oWOvoPVDfpuHFSgD2so3YxfPk+LTdH7f8IwfBitNskqU5XiOtmkNOlNbzWOV2WOINFlz0y0aX/AjAdh1abK9wXgIjIyKD1Ow7274d16+CTzsEvqalk85/AlwyVW/m4TF8ABFUTIbouQ7p3V/ISHLi1HC71W19f1rKGPswolNuwKNWhJD6LFTeXHWp4EcBzrnyERfA95qIHm7TtW+hcxDW1SUWT1yVVdJ0vOadL/0F5kCuAYE5NaT9Q9XMPcboCYjDaostGQHQlhAkvRrlMQ0lOl5Uo53QF6oKZI3S69F8A0nFjRqYAe9gvAKXBYlEWFA0eEEiyr6e83+7kP3xJB0BZJ3kz20r9BUBQdRGJ9Jch+iXQzkKOlrpseucwNycecBRaCSZW3FyOqE4XgDfPA/USL/mYwffY1JDtF0jQXFN1ab5WBV5XGsGviq78kp0u/Qfln1gAKB90ah5iSLHLi+DNC4oqe/XgWNQ+jFYpyuFFiuZ0qTW7LEbldJljyOmKUHSpXwD0dbb0aRQgsyjFQffuposeKyyBJPu5b8M99yiburGZ8yRiRRILkQSlQoiuyxQtL2GTA3QrvtQaMm1aStDLsOEJoojZHhRd5eV0SRIkxkn8EN+BNvnb2cn1tONb2vId41JWM6JbcGm+mrsU4nTZlER6+SKiS/+B2pkvACU/cQZPlrryt37u1nhdwrgmukKfm/IoUVEcsl/GFnCQQpwurd9hlEWXVxmLrHO6NNFF5O53Sc9ZJM+nJAGBsRzIttIhgpqBJX/JVJpR391FxmKZWvKBLoK+pc+TzNQEV1m+AAiqLkJ0Xa4Evp3tl2DdOh+ffrqTW25pR+/eVuFoVTFM5mCVbt/5SxRduvINR7OeJocXAfh7wnSWXLid+pxg20dHaXRD8D1mC+d0qU2mLyK69B+op6lJrUBtuVUM4ALVSlX5W517PnHEm4OuhyoGtYr95Viioji8572oz4YtMYzTFWXR5Q84Xf4wTldE4cUSnrOvayp9XW88s6745xO0x38UKNT6zzes/N+ayJ7z4r5kLkxx0C0tm74tLt2tu5ijJlr/CCJBiK7LHIsFevaUycvLpmfP60WSfBXFE8hx8V24tA9zfT2k72hLHU5xmEZcc2EH5kAl8MMrvqPRDcnaY+xqbazq+ibTgdsFFw/ptW4p8f3QdK5bNl3bdh3fh638XdhNufnm4HE8Z5VzebATrzu+KgbVMGikRV8vhRDRpc8vizMmp0tWc7rMwQuE6gZGIrpKes7qZ60HYKzODVLvU59PQHu8ej4JS+TPue5LZujr7+OzzwbjHzyYS730RZK2IVr/CC6GEF0CQRXAa7KDnBeS11RaChdE/YFrAdhHM6aRwQ+0pg2Z5G76DhigPU6tmxQiujSnK7LiqLZ3vgGd6Bqc8j3P79N9wBXjtNSrZ2Vu3XUc+nAH0u+V6pVek11/dE102WRPmKKvMm9zD3/gLVxMLbdWWXrxG+J0qcnr0Q4vluB0mZHx+/yYreHXXYUrlDuDKUxhhuYIEbhPCfc5Q0p+LNykvIbq448H2umMYjHjWVCq51xNflfxlvPTeLG0DbEQSXAxhOgS/H97dx5XVZ0/fvx1NzYREBUQRc1MEbdKS3EpF1LLmTa/UzqOo2b1zbTNsnISRNAxq6mmxnJmWqwps/p9q5kaK3FNcw2XVBS13AU3RFCBu31+f5x7D/eyicri5b6fjweP5JzPOffzORe47z7L+yP8gBZ0cUXDi57pGwIoIZnZAPRlrf7B2oUU7Fu269copyLQHXR59OioQFdfk7V6k9fz1u4GwIkBI4qWZ7Z7fQB79rSYcODAxCySeeTULEaf+ivJ2Wn8+F8ry4FA5f2a7pQNFqfVq42gBQHprqzjNblVlu1CxUGXe1K9O1t9XalqThdo6TY8Fx94quiZpbmG2zxT03Rktx64mnGUnnMFL57XA0zgvatve7JKetRkIZKoLkkZIYQfcPfuOIouP+jyXJX1PcP0f7tXb/1MNwBiT/2sn3NYHfqwo2duLH2T6WoGXdaftaBre5iWFfya8ztw2rWcW2UTqA7jW9JJYQ19vXLS3Zf3NgB2g3d3iXtOlwUrR4+WHv+OYfrWyU4MNbpCzd3TZceEwWN+WemcrjoeXnT3dJk8eroCSp+Tvbjy+ng+i7k8h0Jb7ODAqD8zC1Z9IURFK/7cXuMp/ZlfzasC3T1qo0Zp/5VpG6K6JOgSwg/YDdqH+ZX0dHmuyprCq4AWjLhXb22nKwDtbVl6T05JQWlQVVHQZaxm0BWwXwu6zvT9DcUE0ogLHF71K+Dd05LCTHqzEdB64E7SlI3czHTSeIS/A3BcRXslsHT3wIWoczz5pHbMiIOvuBt3OGREkc4LFT6Ly1FSqL0PNiysXIlen3rr6bK7eroqmNMFVQddns/irzyhPzMTTt5iIgAP8g7X8qteruzWY25v8wgGvNOCVPQ6QvgqGV4Uwg/YjVpg4Sy5/A9zz9Vb9/IlAH/nfznm2lTYgKKQUBpzjn1L99L+zgSshSU0cl3vNTzl7umyVS/oanpSC7oa9erC/pUJdCraQs6S7bQZ3N6rB2Q13kvHmnNa75V7j3E8wAKsBHgNVblTRgRg55FT2mTvr7iblhzDhgmLK2XCdP6MlaByK9QuKbWEa+7Zg0tHshZtUv/AgaUr+aJsWlebuY6DLneaBuUxp8sz6HKUVB50ef5cTGS+17mJzOckzXiK1wAoIpBgSthJgr7iz73dzvgj6YzhYwD+wcMcoZWsChQNjgRdQvgBd9B1JcOLnqu3ttOZruxkH+15laf11VvHzHE0tp/jxNKfaX9ngj5x34nB60PcEKzN6TJZLz6R3mF10Lp4DwDRt8Zz6F/d4JctFG/aDtzj1QPyOk9o12DEhFOfA6aA9STqQdeyZXDL8lR27zVx34qJ7HBdn04Kt7FEz7JvwcFq+tGfNWyjq/cKtctILeGeezaSE4DW0wWlK/m29JtMM+o+6HIPL3r2dFV3eNHz5yKTG+nBZqD0PUhBWwBxgSBC0N7v69jLHJ4jjRQGXgdRUdD50xSO05xoTpLBbfwf/yOrAkWDI8OLQviBmgi6oHT1lg2tp2ov1wGl20hZw5sDcPS77axcCcVnS9M0eM1dCnYNL1Zjk+lj6w8RTDHFBNKyTxvsnbRhzMA92oR9d0/LbP5Ed7RjvdjAMgbpAZcBeJUpel1mzYK5r2gB0FvH79Vf60P+4LWtUQqpTGMOAK05zI7/meGVVyphUQrjjngPk+lpDspsfuw59+xx/gZoQZfnSr7Jux8D6n7rHVzDi55zugxGA3ZXooWqerqg9OciwJVlfyGj9H0u3UIoZjkDOEosAdg4TgzJpLFqhYPvFzvYF9OXaE7ixMAKtNxesj2ZaGikp0sIP+AwuYYXi688OWonp6Jg0SsA3P10e6b8prTXaN6FB3iZzQTt/ZmBA6FPsxJ+BNCnR2sMrqDLVI2gK3flbuKAQ0Ed6BBgonGfrvANxJwonbD/4XXpDDyiBUdb6c7tLNb3GR3McgBCOQ9AiStgvFCkXXsLpZvl/ZGP9H9bsZDODIw4OEVTmnGaZdED2N5xAFHLYFyZNAnuRJnuAKpsmgPPuWexHGUifyeGXK/J/m1P7QfqsafL5P2RYMeMGYe+IXalUlNpc+I8QYtSAZjKyxymFc/xsl4khZkoDAxiJaBt69SdbYCB5MJ02hdqPyk7A3vwt/ebyqpA0SBJT5cQfsDh7um60qALOLXrJOEU4MTA76e3Y8AA2L1X6/XpWLQFgG5oAdGoU1rGekeZ/79z93SZqxF0nc/cBcDpZvEAtLpd6+lqY9vDjntTaNsWVq2wk4OWkPUILUlnBssZQBLLSCaNw7TS79eKI3oW8WTSSGFmudf03DA5mXQOEQfAoXn/4fe/h6Qk9CHF5QwgnRRsmPV7VrT5sefcs1+5FtB64DxX6dldz8m9L2OdqWAivWd9LtbTBfDL/9uCCSfHaMExWvI8L+k9ZVoAm8IskpnNnwDoxnZ6kKkHqlvoDsCp65NkVaBosCToEsIPuIeNVA0EXblr9gGQY2pFUESQ17DZg7wLQBsOkc4LTGYeAGdo4rVi0BBYmhzVc/VeRYx7tEn0JddoQVdUtxhOGZphBLp8mc64I+l8zZ20IJdiAgmnAIC1gYMArWepCzsodE3pb8evXr1L7oDJLZk0gijRU1D0ZzU3shWAO/kP7l47d+D2sytYMOPAiqXSNAfuuWcBrnsD2DB7rdJzz/Gq8+FFR8U9XY5LCLrylmwCYBM3AdrzcaeHcAew2vHZbHOtdN1AL9d7MZNo1zy3E9ffVgMNEuLqJEGXEH5AH168gtWLbmcztaDreJg2n8tz2MwdTIC22u8fPARoQ3qrV6NNPh+Vzmtvuza8Lilh4EBo2xayRqVXuL9e+DEt6LJ0jYfUVHaNnqWnp/iCe0gnRU9NcJZw+rOGFNL4e/Nknn9eCyYKCGcC76HQ0j949i5NJ13ffNqTuz2DWc5KbgGgPb8Qz26vnrJOZOnXeAYX4J3moE8faN4cFnE/YZzjLI1pxHk9uEsmnWYxrpQROPU8ZHXC1dNF2Z4uQ/WDLstWLej6OfAmkj2ej2cA6342T7j27DThxIaZLxhBLDkUEcSTn/ap9GdBCF8nc7qE8AMOsxZ0qZIr7+my79aCrnPR7QHv3pxZJJNKKiac2DGxkN/zMP+khEByckonnw9lPICerb6iPfbcqRg6F2pBV0TveLIW/0LCohTOom2qWEhjNnITvdA+8KM54ZXpvFmz0rp1JFsfzvPsXUonheUMYAWD9O/dbZnfLBlOaVnuYzlGB/axna56RnWAoWTor1FAaPk0Bx6rHB85OZN7+DcAM0nlOeZiwkEKaaSRwu9uKoavtXvZLtgIDPPIbVab3D1d5jI9XQYzqOoFXS2Pae/Bbzrs4Ybt/yq3PyGUPltPFux8grZF0w/cwoP5L9fYHpdCXG0k6BLCDzhrMOiyHNKCLmc7Lejy7M2ZTrq+as2Mg/G8B2grBqOiyu/RF0hJucnnB1K0SflD1yRz4chpTnMSgLuf7cADZ/9LLgP0ydhj+dCrbmWzmDdrpmjatIhHT79MGjP0gMzdUwXeW9W4pZPCoIFwbEIyf/iDdi6XGOYzUR8yc5dzKySUMM7xLg94pTnw3KKos6tX7AwRNCGPZGaTTBofuPbui4+rp6Crkp4uh2tOltNaedDlcEDGZ2cYZtN+LjrcEkNW5wr2J2yVTMhpGFS0nIGsJIVURrKIBHbTjdKto9IrWYggREPgM8OLeXl5jB49mrCwMCIiIpgwYQLnzp2r8pri4mImTZpE06ZNCQ0NZcSIERw/ftyrzKFDhxg+fDghISFERUUxdepU7PbSPzBffPEFt912G82bNycsLIzExES+//57r3ukpqZiMBi8vuLj42uu8UJcoZoMupqc3AtAUBct6HKnbHAPKb3NI4CWCHMs/wLAatCCB/cw5FuuMp7zq9yTz1etKU3F0JFsAA4Rx8jc15hWlMIKBumv4alsDxZAy5awsNOT+p5/nj0vKxgAQEiw930+cKUpGHiLg5YtS4+38oggArEykOV8zW8AWEsin3EfAMocoKc5KLtFUR/XWs5tdNcDrr83T2bfPkj4JNlrSK06vUs1pqqeLioJulxDxW3bwl9+/xMAv9CO+H+/BMDB8amsWAELF8KKFXDgANx1Fwxkpet5zKAnmRym9CEPZUmlCxGEaBCUjxg2bJjq3r27Wr9+vVq9erVq3769GjVqVJXXPPLIIyouLk4tW7ZM/fTTT6p3796qT58++nm73a66dOmikpKS1JYtW9TixYtVs2bN1LRp0/QyTzzxhJo7d67auHGj2rNnj5o2bZqyWCxq8+bNepkZM2aozp07q5ycHP3r5MmTl9S+s2fPKkCdPXv2kq6rDqvVqr766itltVpr/N6+wJ/b7277quseUArUiiF/vqL7OR1OlU+4UqD2fLFdP75zZJpSoJJJU0bs6iyNtdfjFqVAHTG3VgsXKgXaVxj5yun6xopZPw5KRUYqNR3tfl9wt1Kg9nKtUqCmk+Yq51RWzPpF7uPu65JJU3FxShUVWdWu++9X2+9LVa1aKa/XiYvT6u1InqFWrFBq4UKlVqxQym4vba/drlSrVkolu+67iv5KgdpPa1e92ikF6rObX1Lv3v+9UqBOGpqpjxbY1NKlSr3ySunrfcgflAK93aVt0V7X/XzdB09mnbii90qp6v/sr+jxtPZ+3TTV6/gBs9a+n/++ttw17vd8OmlqGrOVAvUJ9+vPaufItPIvNGOG2jkyTUVGlj6X5hxXDgxKgbJh8nqPFi68oub79e++UtL+umr/pXx++0TQlZWVpQC1adMm/di3336rDAaDOnr0aIXX5OfnK4vFoj7//HP92K5duxSg1q1bp5RSavHixcpoNKrc3Fy9zNtvv63CwsJUSUlJpfVJSEhQM2fO1L+fMWOG6t69++U2TyklQVdt8uf2u9u+stP/ah+qA1Kv6H6n95zSPxHPnzxfesL1YeoObP7L7UqB2mi4SSlQx4KuUStWlH6YuoMj91cqyV4fthWV8QxSqnNu58g0r/febleVBldV8QwoX2aKsmFSCtSHjNZf/5/Bj6k9cQPVOYKVArWAP3rV5zUeV6cojTSKCag0uHDfPyez4r9tl6K6P/srb3hS+/lInOZ1/FdLB6VAbX3zB6/j7mBUf9bEKwVqMUO9gt7KnvHSpeXf52ICKg1GL5c//+4rJe2/GoMunxheXLduHREREfTs2VM/lpSUhNFoZMOGDRVek5mZic1mIykpST8WHx9P69atWbdunX7frl27Eh0drZcZOnQoBQUF7Ny5s8L7Op1OCgsLiYyM9Dq+d+9eYmNjadeuHaNHj+bQoUOX3V4hapqyuPY9tF3Z6sVjP7jSRRhbEtIspPREaioJnyRz4IA2lJTf/VYAeiht2OlI407lhiFXcgv5hAEwg3SvYUFtbpgDp2v7ZBtmr9WG7snvyaSVWxm3oFXFWcxNJi3306XmgHJnW3+/VTJnicDs2ovxDr4F4DhRXFO0k+sOr+AM2t+FsXzIdFeb0knhfj6lKXkA2DFVuZmzO22EvagOc3W5p1SUeSgO116M7uSpbmVXrCagLXa4ne+rNTw4YID3z0LZVY7JpBMXh+y3KBocn5hIn5ubS1RUlNcxs9lMZGQkubm5lV4TEBBARESE1/Ho6Gj9mtzcXK+Ay33efa4ir7zyCufOneO+++7Tj/Xq1YsFCxbQsWNHcnJymDlzJv3792fHjh00bty4wvuUlJRQUlKaGLKgQMstZLPZsF3hB2NZ7vvV9H19hT+3391mp1n7IFclxVf0HPI2anOschu3p1kl9+nbF7Im9oVHtPQMAA6TBafTxrd9/kyXz1L17OQD+AHQ5mN5TkpPJ0Xfxge0FW6eqw2Tmcksr5VwinRSGDjASZ9v/4TJ9Dw2aui9f+EFrgN2W220bTudZqdO8gRv6kFUFgmu7PcDGcwKAIoI0tuzg850QfufuDX0oT8/6sGYAcX7rZLp3duux8M2LARTTMn5oiv+ma12+x2ubYCMRq+y7jldtqISr+OHDxtwf3y8w4N6W8suZDh82I7N5r0bgZvnz4LnXDsDijRSuC/RidP5J5xXkDnDn3/3QdpfV+2/lPvXa9D1/PPPM3fu3CrL7Nq1q45qc3ELFy5k5syZ/Pvf//YKAm+//Xb93926daNXr160adOGzz77jAkTJlR4rzlz5jBzZvlM2EuWLCEkJKSCK65cRkbGxQs1YP7c/vwLFwAoOH2axYsXX/Z9bD9uBCAnNIZDVdzHEeGgPSE0Qnvd83YnixcvpqNhF0v6Pcy8rKnk5QWjBUszCMTKT9zIQJYziJWuAEbbvseJgdm8oPduzQpI4e3GU+F06evNb/YM/eOP0jp6F99/X75eNfHeb9/elFOn+vEkbzCEDDq5enfcE8O1Xp+ZpJFKMKUbebsDrp/oQX/XRHotyNDa3q/tUb7//g69fH9XT9f61evYUZR9xfWGi7ffcjYfgNP5+V4/H9c6tZ7G3TuyOPx1MVlZTTlzJoj8/EBw5Up7mWcA7X1y9+C5g6iDB9ezeLHHG+XB/bPw1i7v9/LtZs/QL/4orQ27ruhn1ZM//+6DtL+223/B9fe1Ouo16Hr66acZN25clWXatWtHTEwMJ06c8Dput9vJy8sjJiamwutiYmKwWq3k5+d79XYdP35cvyYmJoaNGzd6Xede3Vj2vosWLeLBBx/k888/9xqyrEhERAQdOnRg3759lZaZNm0aU6ZM0b8vKCggLi6OIUOGEBYWVuX9L5XNZiMjI4PbbrsNi8VSo/f2Bf7cfnfbw5s3h90QERxEnzvuuPiFldjwxGcABHXpzm0Xuc/PTRLpcWYZAA5LBEOH3oHpjju4FvhkhYGhQ2EWKcRxmId5hx5sxgD6fokL+CPj+JBfuJYU0rFhIY0ZRN09gGc+MLNmjZ2cHG1orl8/CyaTton0tRW0vybe+4KC0g27x/M+60gst41POjOYzmwCsOHEgAGFAXBg5CZ+8rrfglbJ3N9HMbiDHafrWTocUODKjRVgvJ6hQ7voI34OB6xZY/Bos7roEGl1278u+CsAmkZH09/jfc22/Bms0HnLJu5c9SRHj3psWm5ULHEO1nv3PmAsv9LOqwfvmWd6VV5H18/CEQfVei8vhz//7oO0v67a7x6pqo56DbqaN29O8+bNL1ouMTGR/Px8MjMz6dGjBwDLly/H6XTSq1evCq/p0aMHFouFZcuWMWLECACys7M5dOgQiYmJ+n1nz57NiRMn9J6rjIwMwsLCSEgoTcv3ySef8MADD7Bo0SKGDx9+0fqeO3eOX375hTFjxlRaJjAwkMDA8jl4LBZLrf1w1Oa9fYE/t9+97Y7RbrvsZ+BwQOPjvwBwKrwDRqOl4g9UVzLQxRcG0AMt6DqYE8h111n4vl86CR0dnO6Yqhf/X/7Jg7yLEYUNM6vpz0oGcAGtx3eba5udBXEpjOxroEtHBwRZuMj/+3ipifc+Lq7037eRUS7Rqjv/VwA2/TgVlAF47TV47DEDJtMMAEweCVTXKa2ef06DKe9Z2Bw+EIAbz67Q93sEbU6U+3leLHv7xdpvdI3hGcuUc7rmdN246xPG08lr6HCJM4nBrOAUkTQjj03cxNs8igG0PGX9DAQFXXyzaouFS3ovL4c//+6DtL+2238p9/aJifSdOnVi2LBhPPTQQ2zcuJEff/yRyZMnM3LkSGJjYwE4evQo8fHxes9VeHg4EyZMYMqUKaxYsYLMzEzGjx9PYmIivXtr2ayHDBlCQkICY8aMYdu2bXz//fdMnz6dSZMm6QHRwoUL+eMf/8hf/vIXevXqRW5uLrm5uZw9e1av3zPPPMOqVas4cOAAa9eu5Z577sFkMjFq1Kg6flJCVMwQoP1RMNgvI0+XRz6mlsVa7+3sz9pXunWPOxloi5L9+rESAkuzzmebyiVU9Zy75cDELJLpzjYA7AndWbEC9u8vn8uqLpVdCFB28vdSBnvs6Thdv24W08tNEH/sMe8563oC1SPp+kR6CzbGH0mn+c6VNN+5knFH0r3q4/k8r5TBNacLi/f/hztdc7oWcT/ppDCbaRhwMp10fR4brsUO7j0XF8RVvJBBCIHv5Ok6ffq0GjVqlAoNDVVhYWFq/PjxqrCwUD+/f/9+BagVHmuMi4qK1KOPPqqaNGmiQkJC1D333KNycnK87nvgwAF1++23q+DgYNWsWTP19NNPK5vNpp+/9dZbFdoOt15fY8eO1cvcf//9qkWLFiogIEC1bNlS3X///Wrfvn2X1D5JGVF7/Ln97rYvv/s1pUD92HpkuTKVpVJwH/9vorakfxbT9HX+IZyrMB9T2VQCVlf6gzUkeqUSKCnxzn/1Kb/T8nkRq5fbRjelQK3/07+vuP019d57po/wTPmwlEFKgVrKIL3t00nz+ndl+avKPjN3aol/8GC5+3zE71UTTpfLR1ZZaobqtv/HuPuVArVyxBtexzeEDlQK1P18oj7lf/RcWu56teVXpUCVYFH/eqf4klJx1AV//t1XStp/NaaM8InViwCRkZEsXLiw0vNt27ZFKe9VMkFBQcybN4958+ZVel2bNm2qnKy5cuXKi9Zt0aJFFy0jRH0yBGopI4yePV0eQ1qew1Z/aZzKb5us5usz/Xm6MBVIZjqlW94UEsoUXvXause9XYtnKgE8runLutLtdg7D2rWuobFF2j3eYzz38TnRHCed6aSRgt3VEd/yju61/XiqTU8fUWaLm5/D+tM6Arad6Y+p0FFuayETDt6LS2VkX8r1AFX2zB7iHa/79OAnRrOQkSzChNPrea5eraVhuFwGp6uny1xmw2vXR0QE+fRzLQJwb4M0i2R+hzbHb3dAd/4woY62LBLCh/lM0CWEuHyGQG3IyjPo8twT0DNA6F64musKl+MZ6rzMVB7jTaI4SSjnPIbRvD/0y25+nUIaFuxeebZAKzfAI4A5egQO0po2HGJr+AC2dM7jhrVvcZZwWia2rp2HcjlSU0kADrg243ZP/u7fPxWTCZ7wOL7UtcD5xIlkWrSA5P7aXoxllX1mM5mhz2/zfGbKFYSacJZLzeB5j8thcGqBoMFjGyCHA+yuj4gpvEospS/inqMWhjaB+EjsTXS7sioI4Rck6BLCD+g9XQ4t6HLvCTiO0p4V90Rwba6OtoJwOum8xaNs5kaiOImCciv2oPRDv+xcLQv2CieSt2gBjPIOYLJ/1482pxYy+fo1nO/QC9a+xYGwbnQ3lq6Yu1q4E61W93hVqprf5n5mBpwM5TtAm99Q4fO8AkbXnC6D2eTVAzrvvPYR0QFtv81iAgmihB/oTzop7KctAKEDbrqyCgjhJ3xiIr0Q4soYXT1dJlfQVTajeDopWLHoPVhJLNOPn6Q5bTiEDVO5FXtu7g/9i002ryjTuDtQCUrqB0DY9jXYN/8MQH6bq2dosbaUfWb/5EEAzhOiZ9r/G5MJceX+MgCppNRo5naDcvV0Wcxek/rtHv9fnk8YQWgJnWPIZQapXMMBAFrcKUGXENUhQZcQfsAQpPV0mRxa5mTP4ajXeRKF1rNixeKVHdyBESPKdd5x0SDKZNLmarnne3neK4U00kjhu77pFaaaiPkfLejqmLeO8F82A2C8oeEHXWWf2aO8RSGhNOICbzGRdFJ4lLe9rvmIMRd9npfC3dOljFoPl/v97cAevUwEBaTzAiUE0IG9HA7V0upYsdBueKcrq4AQfkKCLiH8gMkddDm1ni7P4aj3eAD3AF4ANr0HS9v/UMvf5E5aWp0gynOvQk8XSyXQ/q7O5BNOKOfplr8KgIhbG37QBd7PzI6FH7gFgGNB13Ky8wDyTU29yrfhYI2mZnD3dOWcNHv1gLqz6QMkk0YKs1jCEABeKNbSYmwP6V39jSyF8HMyp0sIP2B0BV1m1/Cie0hr/JF0fsf/08ttoifppDCAlQxmOU4MGFGspq8+x8sdeC2IS65wNV7lk80rnkjuvmZ3tolDxj4Mc36LCScOjNyT3IX/ZFQvAahPK/PMjj49GDYv5q7QZURuXsq5QC3oOm6IJlod53+HHmDEf6t4npfI6Fq9eL64NHjSAq/SZK+zSGYGqdhcHxvX2rVesJUXbuLuttVP1CqEP5OeLiH8gCnYFXS5ero8h7RslH7QBlKiT6LfzA0YURygDbewRh9y+m9ierWSlbrnao0apf23qs4Q9zwid08cwB468Ptjr9RYAlBf4H5mPZ8bDEDCqVXs+nAT4ZzlLGFkd/gtAFEXDtZo55LRtXqxUXjp/4eXza4/nXQcmLiXr3BQurhhEzfVaKJWIRoyCbqE8AOmYG0ivdkjqEno6GBr+//BgoNjaOONXdjBrtCb2dt6EIWmCADWoW2b9YFrOOuOIY6LBlGXwr2SMpk0bnNtGwRgx6TPcxr2YzIOP0pwft29XTlpaE4jLnDqmRcByI66BWebdgCYjx6s0ddz93TFtTVVuRACtGFGE6U5EXuxwW/fJyEulQRdQvgBU5Ar6FKlKSNWDkgl/6Q2sX5jlwkcNLbFiKLXnwZz3cFlBEcGa2VvSqzVbXg8V1LO9EhD0ZWdrg/7ZA67coH5hdRUdo+ZzUrjIAAGnP03AP8pGED4r9oCg9DTB2r0JY2uOV3mIHOlCyE8A6+v0fagVcBTvO6f75MQl0GCLiH8gLunK9yRp++jeOfAAnqf1XI/vX7sPmxBjQE4v3Qdyqlof2o9ADdOSqzRnq2yPFdSppKG0zV05bmSsmy5hsw91GpxFHkdjy3exw37tPl3zc7VcE+XKs3TVdlCiLcik129XA7G8BFODFXmbBNClCcT6YXwA+YQV3JUnHoW+l+4liBK2E1Hbsn7kvZsB6DR9nXs/34P7VQeRQTRfkTtriCsKDmoFYu+krKmEoD6goqS1gIUEcSjzOdlnmEqrxDjOIK92I45qGb+hJtcw4vGADO8UPFCCIcDkpK098L9PlWa+FYIUSHp6RLCD7iDLgcmrxxbALnEkMYM3uZ/AWh/aj1HP18LwJ6wngSEBtRq3SpKqBqItcqEqg1V2aS1bsEUk0wazzEXKxbMODi+5ViNva57eNFoKe3OLLsQYsCAS098K4TwJkGXEH7AHXQFYGUWyaTzAp3YDcAAVpFMGo/zJhcIpok6Q+MvPgDgTMfEWq/blSRUbWjK7sNod60sde/DqDByCG0vylM/Haix13UPLxoDKu85k/dJiCsnQZcQfsDSSAu6ArECin9zt37OPSfHjoWf6AnA9We15KQBt9Z+0AWXn1C1oSk71GrGgRWLvg8jwEHaAFC4s+bmdbl7ugzmqiMmeZ+EuDIyp0sIP2B2TaQHMGPnSV4DwImBQKwsYyArGMQ6ErmF0uVnEz9M5JMjdZD08nISqjZAnklr01xDeO6NyNNJwQAcNbcBO9j3XX7Q5SjznNu7erpMgRf5SJD3SYgrIkGXEH7A3dMF2pycP7AQgG/4DZu4iXRSGMRKFjJKL7efttx14p9a0suRaSTUQT3d84j8lXsIL2FR+SE8A5BGCjuaDISTYDxyGUFXaipZ2dr+ikeOlB4+jNZDFfWfd2DsxTev9vf3SYjLJcOLQvgBz8nwKaSznIEA5NDCa9L27/lEL1dIY0l6WQ8uNoQX1ioMgEYnD1zSfR0OWPGDlo5i3JF0r3Ph5ANwOFf+P1yI2iS/YUL4Ac/UAj/f/hwHMs6AfQU5rkz07h6VgSxnECsB6MZ2fXgLV9JL6d2oAxcZwtv6+kpab/k3kYXV6+nq+MknZC/cyrAfZ3D0aDLT0dJRJJDFCaLoys805jwAT+6ZxHKH7F8tRG2Rni4h/IDBaKAErber+czJdG6qLZNr17cF06drZWaRzGBW6BsaS9LL+lXZ3pVNb9Qm0rewHcJpd170PoeOhtPls1TGH9V6t15lCjtJYBSLeII3GMRKiggCIPeUSTLKC1GLJOgSwk9YXUGX7byVxoVaBBU/MJbBg0vLTCcdC3avpJdukvTy6hDTsxUOjARRwqmsE1WWdTjg97teJ5mZpJPCSzzDD9xCZ7L0MjbM2NAWWtgxS3AtRC2SoEsIP2E3uD5YL1hpUqx9soZe16LC5KSS9PLqZQmxkGtqCcCJjQeqLLtmjYHTp4OZRQqvMIWp/IUebPa+H3aC0LYccmCS4FqIWiRBlxB+wmZw9XSdK6GZ8zgATRJaSNJLH3SqkTbEuOn/HWTlSipd5ODZa5VPE69zr/M4AE4gAC1lROMIM3361HRthRBuEnQJ4SfcQVfB7mNYsOPEQPMu0YAkvfQZqalkjUpn13kt6Nr1/UEGDoS2bSFrVHq5XGqevVa/4zOvc934mV9o5/UhMCb/Da69tuJ7CSGunKxeFMJP2F1BV9GuAwCcNjSnuXtVoyS99AlZ2VrKh5PcAkAbtBWM44+kV5hPrV8/RdOmRTx6+mW6uzY0/5hR7KaT14bapVSl9xJCXDkJuoTwE3ajFnQ592sf1HmBLWhepowkvbx6ORwwdE0y40APmNpygOmUDg0v+DGZ/R4pH0wmWNjpSYas+QdWLARgI40Z7KEjeNzHzY6l0nsJIa6cDC8K4SfcQZcl9xAABaEyY9qXrF4NR45oc+0+4I8A3M63+uKHdJI57Mqn5ql1y7NsGfQkAdiwYuFX2gHoSXH3u/ZyBPgTc6q8lxDiykjQJYSfcBi11YuN87SeruImEnT5Es9J8W/yGABG1EXzqWWPGoVt4BAADprb8+FCi1dutlv5AeUqK7nZhKhdEnQJ4SfsJldy1PNa0OVoLkGXL/GcFP9HPgBAQbXyqZ3PzAbgdPN4Ro3CKzfbWD7AAFixSG42IWqZBF1C+AmHK+iKdh4DwBArn6i+xDOf2uP8DYBigqqVT82YvVsrf02ncvdyD08GYpXcbELUMplIL4SfcAddRtdgUkBbCbp8iTufWsKiFF7kOZ5nLsEUM5sXMABppDCyb8WrTcOOaT1d5q7x5e5VNjfbxe4lhLh80tMlhJ9wuoIut9D2EnT5Gnc+tXdblAZDwRRdNJ9abKHW0xWZGF/uXpKbTYi6Iz1dQvgJp9k76GrSObaeaiIumyufWlaJE9ce1Xz23nmG/bFRpb1SJceLiXbmAtBqcMdy95LcbELUHQm6hPATTpPF6/tmXWLqqSbiSlkCjVwgmBCK6H7dhSpzaZVsywMgx9iSFq3Cyp2X3GxC1B0ZXhTCTzgtpT1dZwxNCIoIqsfaiCtVZAgBoDjvQpXlDHu0fTZzwuOrLCeEqH0SdAnhJ5TH8OLpAJnP5euKjI0AsJ45X2W5Rge11aqFrSToEqK+SdAlhJ9QHj1dBSESdPm6EpPW02XNr7qnq+lJLS8b8Z1qu0pCiIvwmaArLy+P0aNHExYWRkREBBMmTODcuXNVXlNcXMykSZNo2rQpoaGhjBgxguPHj3uVOXToEMOHDyckJISoqCimTp2K3W7Xz69cuRKDwVDuKzc31+s+8+bNo23btgQFBdGrVy82btxYc40XogZ4Bl0XIiTo8nVWV9Bly6+6p6tl4a8ANL5JerqEqG8+E3SNHj2anTt3kpGRwTfffMMPP/zAww8/XOU1Tz31FF9//TWff/45q1at4tixY9x77736eYfDwfDhw7Faraxdu5YPPviABQsWkJKSUu5e2dnZ5OTk6F9RUVH6uU8//ZQpU6YwY8YMNm/eTPfu3Rk6dCgnTpyouQcgxBXyDLrszSTo8nVWiza8aC+ouKfL4YBl39po49gPQPStEnQJUd98IujatWsX3333He+88w69evWiX79+vPnmmyxatIhjx45VeM3Zs2d59913efXVVxk0aBA9evTg/fffZ+3ataxfvx6AJUuWkJWVxUcffcT111/P7bffTnp6OvPmzcNqtXrdLyoqipiYGP3LaCx9dK+++ioPPfQQ48ePJyEhgfnz5xMSEsJ7771Xew9FiEtl8Vi9KNnofZ7NovV0OQrLBF2pqWSNSqdtW5hy1wHMOCigMb3vjSVrVDqkptZ5XYUQGp9IGbFu3ToiIiLo2bOnfiwpKQmj0ciGDRu45557yl2TmZmJzWYjKSlJPxYfH0/r1q1Zt24dvXv3Zt26dXTt2pXo6Gi9zNChQ5k4cSI7d+7khhtu0I9ff/31lJSU0KVLF1JTU+nbty8AVquVzMxMpk2bppc1Go0kJSWxbt26SttUUlJCSUmJ/n1BQQEANpsNm812KY/notz3q+n7+gp/br9n253m0l93U8sov3geDfm9twVoQZf9bKFX+7J3GejyWQrjUOykCwC7iWf80XQSFs1gx32pdGyAz6MiDfn9rw5pf920/1Lu7xNBV25urtdwHoDZbCYyMrLc3CrPawICAoiIiPA6Hh0drV+Tm5vrFXC5z7vPAbRo0YL58+fTs2dPSkpKeOeddxgwYAAbNmzgxhtv5NSpUzgcjgrvs3v37krbNGfOHGbOnFnu+JIlSwgJCan0uiuRkZFRK/f1Ff7c/oyMDEpcgT3AgZI88hYvrsca1a2G+N4HuxLG5/56gMWu99LhgIeXPctEDKQzg6VoO1tbsJLGDJKZyfzlz/D3rxdXmduroWmI7/+lkPbXbvsvXKh6MYuneg26nn/+eebOnVtlmV27dtVRbSrWsWNHOnYszeLcp08ffvnlF1577TX+9a9/XfZ9p02bxpQpU/TvCwoKiIuLY8iQIYSFlU9geCVsNhsZGRncdtttWCyWi1/QwPhz+z3bvv4fe2Crdjzk2sEMHXpdg//gbcjv/drI/8IJiAoNpf8ddwCwapWB06fNzCIFMJCONj/1BraR7N5j8RSEhQ3n1ltVPda+bjTk9786pP110/4Cj/+hvZh6Dbqefvppxo0bV2WZdu3aERMTU25Sut1uJy8vj5iYirNqx8TEYLVayc/P9+rtOn78uH5NTExMuVWG7tWNld0X4Oabb2bNmjUANGvWDJPJVG5VpOfrVCQwMJDAwMByxy0WS639cNTmvX2Bv7a/4yef8OvCrXy3IpJBrmPj/hRHxFsWbdPjjo4GP8+nIb73KiQUAGNRkd62kydLz88imZnMwIjChlnf1ForZ6aBPY4qNcT3/1JI+2u3/Zdy73qdSN+8eXPi4+Or/AoICCAxMZH8/HwyMzP1a5cvX47T6aRXr14V3rtHjx5YLBaWLVumH8vOzubQoUMkJiYCkJiYyPbt270CuoyMDMLCwkhISKi03lu3bqVFC20ickBAAD169PB6HafTybJly/TXEaI+HToaTpfPUulXpHWxFxLKORoz/kg6CYtSyMpu4N1dDVWwNg3BUFQ6tNHCY33EdNIxovVmWbAznfQKywkh6o5PzOnq1KkTw4YN46GHHmL+/PnYbDYmT57MyJEjiY3VNu09evQogwcP5sMPP+Tmm28mPDycCRMmMGXKFCIjIwkLC+Oxxx4jMTGR3r17AzBkyBASEhIYM2YML730Erm5uUyfPp1JkybpvVCvv/4611xzDZ07d6a4uJh33nmH5cuXs2TJEr1+U6ZMYezYsfTs2ZObb76Z119/nfPnzzN+/Pi6f1hCeHA44Pe7XmciLUlnBgA5tGA66aSRQgppLPgxmf0OGvxQY4PjmvtpLC4Nuvr3h1atYPwR7f21YcaCnVd5knRSMAAL4pLp37+e6iyEn/OJoAvg448/ZvLkyQwePBij0ciIESN444039PM2m43s7GyvCW2vvfaaXrakpIShQ4fy1ltv6edNJhPffPMNEydOJDExkUaNGjF27FjS0tL0MlarlaeffpqjR48SEhJCt27dWLp0KQMHDtTL3H///Zw8eZKUlBRyc3O5/vrr+e6778pNrheirq1ZY+D06WBmkUJXdnAfn9OefaSTUjrH5zCsXi2bHvsaQ6iWp8tUXJoc1WRCGzJelMIcnmcaLwIwjRfJJ5I0UhjZF0ym5ArvKYSoXT4TdEVGRrJw4cJKz7dt2xalvCeGBgUFMW/ePObNm1fpdW3atNFX/lTk2Wef5dlnn71o/SZPnszkyZMvWk6IupSTU/rvh/kHI/g/TDgpIcBrjo9nOeEbDKFaT5fJ6r1yKqGjg6yRaSxd8lum5b3IcaKwEsiCuGRG9tXOCyHqh88EXUKIS+c5d+cx3tQDrkCsTCddD7xkjo/vMbmCLrO1fHLUBGD29G9gNuSaY8n41s7AgWbp4RKinvlERnohxOXp10/RtGkRyaTpQ4pBlHh8n05cHDLHxweZw7XhxQBrxXsvWn89AsDZ0ChuvVXJnD0hrgLS0yVEA2YywcJOTzJkzT9Icc/hQksnYACZ4+PDzGFaT1eAveLEjM6DhwE4Gy5zS4W4WkjQJUQD17rlWXbcl8r7a5PhSOlxmePj2yzhrqDLUXHQZc7V3uyiyKZ1VichRNUk6BKigcseNYo77riDA0ZtlWJOjjaHq39/6eHyZQFNtOHFIEfFw4shZ7SgyxoVWWd1EkJUTYIuIfyEySRpIRqSgAitpytYVdzT1eScNryoWkXUVZWEEBchE+mFEMIHBUVqQVeIKt/TpZyKaJvW02VqU7N7uQohLp8EXUII4YOCm7lWL2LDdsHmdS5//xlCKAIgsF1onddNCFExCbqEEMIHBTcN0f9dlFfkde7kFq2X66ShOeZQmUUixNVCgi4hhPBBgWGBOFx/wotOeQ8xnt2hzec6FdSqzuslhKicBF1CCOGDDEYDF9B6u4rzvCfTF+3VeroKGres83oJISonQZcQQvioYoMWdJWc8Q66nIe0oKu4eVyd10kIUTkJuoQQwkcVmbTJ9NYz3sOL5hxteNHRQnq6hLiaSNAlhBA+qsSk9XTZznr3dIXkaT1d5rYSdAlxNZGgSwghfJTVXHHQFXFeC7oaxcvwohBXEwm6hBDCR1kt2vCi/Wzp8KJyKqKt2vBieOfYeqmXEKJiEnQJIYSPslu0ni5HYWlP19mD+TRC+z7qBhleFOJqIkGXEEL4KHuAFnQ5z5UGXSc2a0OLpwzNCI4Mrpd6CSEqJkGXEEL4KEeQNryozmnDiw4HbP1aG1o8YWmFw1FvVRNCVECCLiGE8FHOIK2nq23WYrJGpdO2LSz9QOvp+sXaivbtzQS/shhjWlo91lII4SabcgkhhI9yB10XCu0kLEphHGBB2/z6MHE8cDSdIUf/wY7YVLrUXzWFEC4SdAkhhK9qpA0vrinozicMJZ0UMrkBgOvYw6O8TTIzWbA2mQMOMJnqs7JCCAm6hBDCV4VoPV0W+wVmkQxAOikA3MYykknTjh+B1athwID6qqgQAmROlxBC+CxDIy3oaoQ2kX4WyTgxAGDFogdiADk5dV8/IYQ3CbqEEMJHGRtrw4shrrxc00nHiAIgABvTSdfLtmhR9/UTQniT4UUhhPBRpsZaT1eo4QLJKp0019AiwGymuYYaFQtaJdO/v6GeaimEcJOgSwghfJQ5XOvp6mjcwwDHCv7CFJ7mVUoIYDqzKSGIdGZwfx+FyTSjnmsrhJDhRSGE8FHmMK2nKwArWSPTyGhyPwDHiQYMvN8qmSX9HqZTB3s91lII4SZBlxBC+ChLuBZ0nTM0JuGTZFInHgfgTGAMK1bA3r12ip65A2dKSlW3EULUEQm6hBDCRwVGasOLwU5t9aL1cC4AxRExDBggebmEuNpI0CWEED4qsInW0xXk1FYvOo9qQVdJk5h6q5MQonISdAkhhI9yB10hXEA5FYYTWtDlbBZdn9USQlRCgi4hhPBRwc204UUzDqznrATmaUGXoYX0dAlxNZKgSwghfFRIsxD930WnLxBSqE2kD2gjQZcQVyMJuoQQwkdZQizYXOkWi05fILxI6+lq1E6CLiGuRj4TdOXl5TF69GjCwsKIiIhgwoQJnDt3rspriouLmTRpEk2bNiU0NJQRI0Zw/PhxrzKHDh1i+PDhhISEEBUVxdSpU7HbS3PajBs3DoPBUO6rc+fOepnU1NRy5+Pj42v2AQghRAUuoA0xFp8+T1O7FnSFd5A5XUJcjXwm6Bo9ejQ7d+4kIyODb775hh9++IGHH364ymueeuopvv76az7//HNWrVrFsWPHuPfee/XzDoeD4cOHY7VaWbt2LR988AELFiwgxSOnzV//+ldycnL0r8OHDxMZGcnvfvc7r9fq3LmzV7k1a9bU7AMQQogKFBm1IcbCX04Q6tr4umln6ekS4mrkE9sA7dq1i++++45NmzbRs2dPAN58803uuOMOXnnlFWJjY8tdc/bsWd59910WLlzIoEGDAHj//ffp1KkT69evp3fv3ixZsoSsrCyWLl1KdHQ0119/Penp6Tz33HOkpqYSEBBAeHg44eHh+n2/+uorzpw5w/jx471ez2w2ExMjf+iEEHWrxBgCTijY+isA52hEaExoPddKCFERnwi61q1bR0REhB5wASQlJWE0GtmwYQP33HNPuWsyMzOx2WwkJSXpx+Lj42ndujXr1q2jd+/erFu3jq5duxIdXdoVP3ToUCZOnMjOnTu54YYbyt333XffJSkpiTZt2ngd37t3L7GxsQQFBZGYmMicOXNo3bp1pW0qKSmhpKRE/76goAAAm82GzWarxlOpPvf9avq+vsKf2+/PbQf/aH+xuRHYwbp7HwCnzTEElml3Q25/VaT90n7P/9b261SHTwRdubm5REVFeR0zm81ERkaSm5tb6TUBAQFERER4HY+Ojtavyc3N9Qq43Ofd58o6duwY3377LQsXLvQ63qtXLxYsWEDHjh3Jyclh5syZ9O/fnx07dtC4ceMK6zdnzhxmzpxZ7viSJUsICQmp4Iorl5GRUSv39RX+3H5/bjs07Pa3IQAA+56dAJy2NGXr4sVeZRpy+6tD2i/tr00XLlyodtl6Dbqef/555s6dW2WZXbt21VFtLu6DDz4gIiKCu+++2+v47bffrv+7W7du9OrVizZt2vDZZ58xYcKECu81bdo0pkyZon9fUFBAXFwcQ4YMISwsrEbrbbPZyMjI4LbbbsNisdTovX2BP7ffn9sO/tH+7UFvQDHEXHBlo49oyR133AH4R/urIu2X9tdF+90jVdVRr0HX008/zbhx46os065dO2JiYjhx4oTXcbvdTl5eXqXzqGJiYrBareTn53v1dh0/fly/JiYmho0bN3pd517dWPa+Sinee+89xowZQ0BAQJV1joiIoEOHDuzbt6/SMoGBgQQGBpY7brFYau2Hozbv7Qv8uf3+3HZo2O23BWqrF6PPa3O6rE1blGtrQ25/dUj7pf212f5LuXe9Bl3NmzenefPmFy2XmJhIfn4+mZmZ9OjRA4Dly5fjdDrp1atXhdf06NEDi8XCsmXLGDFiBADZ2dkcOnSIxMRE/b6zZ8/mxIkT+vBlRkYGYWFhJCQkeN1v1apV7Nu3r9KeK0/nzp3jl19+YcyYMRctK4QQV8IRoE1HiHZqPV0qShb0CHG18omUEZ06dWLYsGE89NBDbNy4kR9//JHJkyczcuRIfeXi0aNHiY+P13uuwsPDmTBhAlOmTGHFihVkZmYyfvx4EhMT6d27NwBDhgwhISGBMWPGsG3bNr7//numT5/OpEmTyvVCvfvuu/Tq1YsuXbqUq98zzzzDqlWrOHDgAGvXruWee+7BZDIxatSoWn4yQgh/5whq5PW9sYXk6BLiauUTE+kBPv74YyZPnszgwYMxGo2MGDGCN954Qz9vs9nIzs72mtD22muv6WVLSkoYOnQob731ln7eZDLxzTffMHHiRBITE2nUqBFjx44lLS3N67XPnj3L//3f//HXv/61wrodOXKEUaNGcfr0aZo3b06/fv1Yv359tXrxhBDiSjiDvBfeBMoWQEJctXwm6IqMjCy3atBT27ZtUUp5HQsKCmLevHnMmzev0uvatGnD4jIrfcoKDw+vcnXCokWLqrxeCCFqiwr2DrpC20vQJcTVyieGF4UQQlSikffwYkS8BF1CXK0k6BJCCF9WJq9f005RlRQUQtQ3CbqEEMKHGUJLg658QwRBEUH1WBshRFUk6BJCCB9malw6vHjaIkOLQlzNJOgSQggfZmpc2tNVECJBlxBXMwm6hBDCh5nDSoOuosaSo0uIq5kEXUII4cMsEaXDi7am0tMlxNVMgi4hhPBhnsOLpy0xOBz1WBkhRJUk6BJCCF+UmkrWqHQee6406PrPphjatoWsUemQmlpvVRNCVEyCLiGE8EFZ2SYSFqVw5+n39GO5xDD+SDoJi1LIyjbVY+2EEBXxmW2AhBBCaBwOGLommXFAOin68Tv5D4/yNimkseDHZPY4bPVWRyFEeRJ0CSGEj1m9Go4cgVkkE4CVZGYB8Chvk0was0iGw7BmjaGeayqE8CTDi0II4WNyckr/nUIaDtef8hICtICrgnJCiPonQZcQQviYFi1K/z2dWZhwUkIAgViZTnqF5YQQ9U+CLiGE8DH9+0OrVpBMOumkkEwaQZSQTJrr+3Ti4qBfP1XfVRVCeJA5XUII4WNMJvi+n7ZKMcU9hwttjpcBSCOFkX3BZHq+fisqhPAiQZcQQvighI4Oskam8f6aZDhSenxBXDIj+2rnZe2iEFcXCbqEEMIXpaaSABxwaKsZc3K0OVz9+4PJ5JpMb5OwS4iriQRdQgjhw0wmGDCgvmshhKgOmUgvhBBCCFEHJOgSQgghhKgDEnQJIYQQQtQBCbqEEEIIIeqABF1CCCGEEHVAgi4hhBBCiDogQZcQQgghRB2QoEsIIYQQog5I0CWEEEIIUQckI/1VQikFQEFBQY3f22azceHCBQoKCrBYLDV+/6udP7ffn9sO0n5pv7Rf2l/77Xd/brs/x6siQddVorCwEIC4uLh6rokQQgghLlVhYSHh4eFVljGo6oRmotY5nU6OHTtG48aNMRgMNXrvgoIC4uLiOHz4MGFhYTV6b1/gz+3357aDtF/aL+2X9td++5VSFBYWEhsbi9FY9awt6em6ShiNRlq1alWrrxEWFuaXv3hu/tx+f247SPul/dJ+aX/ttv9iPVxuMpFeCCGEEKIOSNAlhBBCCFEHJOjyA4GBgcyYMYPAwMD6rkq98Of2+3PbQdov7Zf2S/uvrvbLRHohhBBCiDogPV1CCCGEEHVAgi4hhBBCiDogQZcQQgghRB2QoEsIIYQQog5I0NXAzZs3j7Zt2xIUFESvXr3YuHFjfVepVsyZM4ebbrqJxo0bExUVxd133012drZXmeLiYiZNmkTTpk0JDQ1lxIgRHD9+vJ5qXHtefPFFDAYDTz75pH7MH9p+9OhR/vCHP9C0aVOCg4Pp2rUrP/30k35eKUVKSgotWrQgODiYpKQk9u7dW481rjkOh4Pk5GSuueYagoODufbaa0lPT/faC64htf+HH37gt7/9LbGxsRgMBr766iuv89Vpa15eHqNHjyYsLIyIiAgmTJjAuXPn6rAVl6+q9ttsNp577jm6du1Ko0aNiI2N5Y9//CPHjh3zukdDbX9ZjzzyCAaDgddff93reH21X4KuBuzTTz9lypQpzJgxg82bN9O9e3eGDh3KiRMn6rtqNW7VqlVMmjSJ9evXk5GRgc1mY8iQIZw/f14v89RTT/H111/z+eefs2rVKo4dO8a9995bj7WueZs2beLvf/873bp18zre0Nt+5swZ+vbti8Vi4dtvvyUrK4u//OUvNGnSRC/z0ksv8cYbbzB//nw2bNhAo0aNGDp0KMXFxfVY85oxd+5c3n77bf72t7+xa9cu5s6dy0svvcSbb76pl2lI7T9//jzdu3dn3rx5FZ6vTltHjx7Nzp07ycjI4JtvvuGHH37g4YcfrqsmXJGq2n/hwgU2b95McnIymzdv5osvviA7O5s777zTq1xDbb+nL7/8kvXr1xMbG1vuXL21X4kG6+abb1aTJk3Sv3c4HCo2NlbNmTOnHmtVN06cOKEAtWrVKqWUUvn5+cpisajPP/9cL7Nr1y4FqHXr1tVXNWtUYWGhuu6661RGRoa69dZb1RNPPKGU8o+2P/fcc6pfv36Vnnc6nSomJka9/PLL+rH8/HwVGBioPvnkk7qoYq0aPny4euCBB7yO3XvvvWr06NFKqYbdfkB9+eWX+vfVaWtWVpYC1KZNm/Qy3377rTIYDOro0aN1VveaULb9Fdm4caMC1MGDB5VS/tH+I0eOqJYtW6odO3aoNm3aqNdee00/V5/tl56uBspqtZKZmUlSUpJ+zGg0kpSUxLp16+qxZnXj7NmzAERGRgKQmZmJzWbzeh7x8fG0bt26wTyPSZMmMXz4cK82gn+0/T//+Q89e/bkd7/7HVFRUdxwww3885//1M/v37+f3Nxcr2cQHh5Or169GsQz6NOnD8uWLWPPnj0AbNu2jTVr1nD77bcDDb/9nqrT1nXr1hEREUHPnj31MklJSRiNRjZs2FDnda5tZ8+exWAwEBERATT89judTsaMGcPUqVPp3LlzufP12X7Z8LqBOnXqFA6Hg+joaK/j0dHR7N69u55qVTecTidPPvkkffv2pUuXLgDk5uYSEBCg/9Fxi46OJjc3tx5qWbMWLVrE5s2b2bRpU7lzDb3tAL/++itvv/02U6ZM4U9/+hObNm3i8ccfJyAggLFjx+rtrOj3oSE8g+eff56CggLi4+MxmUw4HA5mz57N6NGjARp8+z1Vp625ublERUV5nTebzURGRja451FcXMxzzz3HqFGj9E2fG3r7586di9ls5vHHH6/wfH22X4Iu0eBMmjSJHTt2sGbNmvquSp04fPgwTzzxBBkZGQQFBdV3deqF0+mkZ8+e/PnPfwbghhtuYMeOHcyfP5+xY8fWc+1q32effcbHH3/MwoUL6dy5M1u3buXJJ58kNjbWL9ovKmaz2bjvvvtQSvH222/Xd3XqRGZmJn/961/ZvHkzBoOhvqtTjgwvNlDNmjXDZDKVW6F2/PhxYmJi6qlWtW/y5Ml88803rFixglatWunHY2JisFqt5Ofne5VvCM8jMzOTEydOcOONN2I2mzGbzaxatYo33ngDs9lMdHR0g227W4sWLUhISPA61qlTJw4dOgSgt7Oh/j5MnTqV559/npEjR9K1a1fGjBnDU089xZw5c4CG335P1WlrTExMuQVFdrudvLy8BvM83AHXwYMHycjI0Hu5oGG3f/Xq1Zw4cYLWrVvrfw8PHjzI008/Tdu2bYH6bb8EXQ1UQEAAPXr0YNmyZfoxp9PJsmXLSExMrMea1Q6lFJMnT+bLL79k+fLlXHPNNV7ne/TogcVi8Xoe2dnZHDp0yOefx+DBg9m+fTtbt27Vv3r27Mno0aP1fzfUtrv17du3XIqQPXv20KZNGwCuueYaYmJivJ5BQUEBGzZsaBDP4MKFCxiN3n/OTSYTTqcTaPjt91SdtiYmJpKfn09mZqZeZvny5TidTnr16lXnda5p7oBr7969LF26lKZNm3qdb8jtHzNmDD///LPX38PY2FimTp3K999/D9Rz+2t1mr6oV4sWLVKBgYFqwYIFKisrSz388MMqIiJC5ebm1nfVatzEiRNVeHi4WrlypcrJydG/Lly4oJd55JFHVOvWrdXy5cvVTz/9pBITE1ViYmI91rr2eK5eVKrht33jxo3KbDar2bNnq71796qPP/5YhYSEqI8++kgv8+KLL6qIiAj173//W/3888/qrrvuUtdcc40qKiqqx5rXjLFjx6qWLVuqb775Ru3fv1998cUXqlmzZurZZ5/VyzSk9hcWFqotW7aoLVu2KEC9+uqrasuWLfrqvOq0ddiwYeqGG25QGzZsUGvWrFHXXXedGjVqVH016ZJU1X6r1aruvPNO1apVK7V161avv4clJSX6PRpq+ytSdvWiUvXXfgm6Grg333xTtW7dWgUEBKibb75ZrV+/vr6rVCuACr/ef/99vUxRUZF69NFHVZMmTVRISIi65557VE5OTv1VuhaVDbr8oe1ff/216tKliwoMDFTx8fHqH//4h9d5p9OpkpOTVXR0tAoMDFSDBw9W2dnZ9VTbmlVQUKCeeOIJ1bp1axUUFKTatWunXnjhBa8P2YbU/hUrVlT4+z527FilVPXaevr0aTVq1CgVGhqqwsLC1Pjx41VhYWE9tObSVdX+/fv3V/r3cMWKFfo9Gmr7K1JR0FVf7Tco5ZGyWAghhBBC1AqZ0yWEEEIIUQck6BJCCCGEqAMSdAkhhBBC1AEJuoQQQggh6oAEXUIIIYQQdUCCLiGEEEKIOiBBlxBCCCFEHZCgSwghapnBYOCrr76q72oIIeqZBF1CCFGFcePGcffdd9d3NYQQDYAEXUIIIYQQdUCCLiGEqKYBAwbw+OOP8+yzzxIZGUlMTAypqaleZfbu3cstt9xCUFAQCQkJZGRklLvP4cOHue+++4iIiCAyMpK77rqLAwcOALB7925CQkJYuHChXv6zzz4jODiYrKys2myeEKKWSdAlhBCX4IMPPqBRo0Zs2LCBl156ibS0ND2wcjqd3HvvvQQEBLBhwwbmz5/Pc88953W9zWZj6NChNG7cmNWrV/Pjjz8SGhrKsGHDsFqtxMfH88orr/Doo49y6NAhjhw5wiOPPMLcuXNJSEiojyYLIWqIbHgthBBVGDduHPn5+Xz11VcMGDAAh8PB6tWr9fM333wzgwYN4sUXX2TJkiUMHz6cgwcPEhsbC8B3333H7bffzpdffsndd9/NRx99xKxZs9i1axcGgwEAq9VKREQEX331FUOGDAHgN7/5DQUFBQQEBGAymfjuu+/08kII32Su7woIIYQv6datm9f3LVq04MSJEwDs2rWLuLg4PeACSExM9Cq/bds29u3bR+PGjb2OFxcX88svv+jfv/fee3To0AGj0cjOnTsl4BKiAZCgSwghLoHFYvH63mAw4HQ6q339uXPn6NGjBx9//HG5c82bN9f/vW3bNs6fP4/RaCQnJ4cWLVpcfqWFEFcFCbqEEKKGdOrUicOHD3sFSevXr/cqc+ONN/Lpp58SFRVFWFhYhffJy8tj3LhxvPDCC+Tk5DB69Gg2b95McHBwrbdBCFF7ZCK9EELUkKSkJDp06MDYsWPZtm0bq1ev5oUXXvAqM3r0aJo1a8Zdd93F6tWr2b9/PytXruTxxx/nyJEjADzyyCPExcUxffp0Xn31VRwOB88880x9NEkIUYMk6BJCiBpiNBr58ssvKSoq4uabb+bBBx9k9uzZXmVCQkL44YcfaN26Nffeey+dOnViwoQJFBcXExYWxocffsjixYv517/+hdlsplGjRnz00Uf885//5Ntvv62nlgkhaoKsXhRCCCGEqAPS0yWEEEIIUQck6BJCCCGEqAMSdAkhhBBC1AEJuoQQQggh6oAEXUIIIYQQdUCCLiGEEEKIOiBBlxBCCCFEHZCgSwghhBCiDkjQJYQQQghRByToEkIIIYSoAxJ0CSGEEELUAQm6hBBCCCHqwP8HNvQUKK2ebjsAAAAASUVORK5CYII=",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
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]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
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},
|
|
{
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"data": {
|
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"image/png": 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",
|
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"text/plain": [
|
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"for i in range(batch_valid-cnt_thrown_idx):\n",
|
|
" actual = pd.concat([pd.DataFrame(X_valid_detrend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_valid_detrend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(actual)\n",
|
|
" forecast = pd.concat([pd.DataFrame(X_valid_detrend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_hat_detrend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(forecast)\n",
|
|
" print (i)\n",
|
|
"# =================== XPR ======================== \n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['XRP'], label = 'actual XRP', marker = 'o', color = 'black')\n",
|
|
" ax.plot(forecast.index, forecast['XRP'], label = 'forecast XRP', marker = 'x', color = 'orange')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('XRP Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== ETH ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['ETH'], label = 'actual ETH', marker = 'o', color = 'blue')\n",
|
|
" ax.plot(forecast.index, forecast['ETH'], label = 'forecast ETH', marker = 'x', color = 'red')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('ETH Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== LTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['LTC'], label = 'actual LTC', marker = 'o', color = 'green')\n",
|
|
" ax.plot(forecast.index, forecast['LTC'], label = 'forecast LTC', marker = 'x', color = 'purple')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('LTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== BTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['BTC'], label = 'actual BTC', marker = 'o', color = 'violet')\n",
|
|
" ax.plot(forecast.index, forecast['BTC'], label = 'forecast BTC', marker = 'x', color = 'yellow')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('BTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "070a40ef-19e3-4fd2-96d2-02b2f539dd6d",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "117c9058-fad0-4ebc-87f7-c343fca58341",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# 07.16.2024\n",
|
|
"# add trend back"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 29,
|
|
"id": "075b9b34-a9d4-40d9-ab68-68b7128f08f0",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"y_valid_trend\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"[[[0.56786846 0.31481799 0.67871995 0.64343156]\n",
|
|
" [0.56787185 0.31482339 0.67871102 0.64345559]\n",
|
|
" [0.56787523 0.31482878 0.6787021 0.64347962]\n",
|
|
" [0.56787862 0.31483418 0.67869317 0.64350366]\n",
|
|
" [0.56788201 0.31483957 0.67868424 0.64352769]\n",
|
|
" [0.5678854 0.31484497 0.67867531 0.64355172]\n",
|
|
" [0.56788879 0.31485036 0.67866639 0.64357576]\n",
|
|
" [0.56789217 0.31485576 0.67865746 0.64359979]\n",
|
|
" [0.56789556 0.31486115 0.67864853 0.64362383]\n",
|
|
" [0.56789895 0.31486655 0.6786396 0.64364786]]\n",
|
|
"\n",
|
|
" [[0.52076822 0.26681209 0.61184577 0.57912173]\n",
|
|
" [0.52071962 0.26668751 0.61172014 0.57905124]\n",
|
|
" [0.52067102 0.26656293 0.61159451 0.57898076]\n",
|
|
" [0.52062242 0.26643836 0.61146888 0.57891027]\n",
|
|
" [0.52057382 0.26631378 0.61134326 0.57883978]\n",
|
|
" [0.52052523 0.2661892 0.61121763 0.57876929]\n",
|
|
" [0.52047663 0.26606462 0.611092 0.57869881]\n",
|
|
" [0.52042803 0.26594004 0.61096637 0.57862832]\n",
|
|
" [0.52037943 0.26581546 0.61084075 0.57855783]\n",
|
|
" [0.52033083 0.26569088 0.61071512 0.57848734]]]\n",
|
|
"y_hat_detrend\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"[[[ 2.8378333e-04 -1.6613227e-04 -4.6407498e-04 -1.4484947e-04]\n",
|
|
" [ 3.3957826e-04 -1.6847480e-04 -4.5289559e-04 -1.4777512e-04]\n",
|
|
" [ 3.8485150e-04 -1.6591426e-04 -4.3705164e-04 -1.4962802e-04]\n",
|
|
" [ 4.2086642e-04 -1.6129954e-04 -4.2054610e-04 -1.5049244e-04]\n",
|
|
" [ 4.4896908e-04 -1.5614001e-04 -4.0537637e-04 -1.5060528e-04]\n",
|
|
" [ 4.7049136e-04 -1.5118072e-04 -3.9236128e-04 -1.5022258e-04]\n",
|
|
" [ 4.8667606e-04 -1.4674244e-04 -3.8166522e-04 -1.4956182e-04]\n",
|
|
" [ 4.9862877e-04 -1.4292059e-04 -3.7312016e-04 -1.4878603e-04]\n",
|
|
" [ 5.0729676e-04 -1.3969895e-04 -3.6641693e-04 -1.4800523e-04]\n",
|
|
" [ 5.1346578e-04 -1.3701324e-04 -3.6121224e-04 -1.4728586e-04]]\n",
|
|
"\n",
|
|
" [[ 4.1747687e-04 -4.1990512e-05 -2.1756222e-04 1.9792060e-05]\n",
|
|
" [ 5.8000069e-04 5.3124080e-05 -1.7420592e-05 1.3981012e-04]\n",
|
|
" [ 7.1033556e-04 1.3116789e-04 1.4538024e-04 2.2979360e-04]\n",
|
|
" [ 8.1388047e-04 1.9373906e-04 2.7735249e-04 2.9758588e-04]\n",
|
|
" [ 8.9532638e-04 2.4316956e-04 3.8382495e-04 3.4887870e-04]\n",
|
|
" [ 9.5876108e-04 2.8186722e-04 4.6925372e-04 3.8784338e-04]\n",
|
|
" [ 1.0077114e-03 3.1201652e-04 5.3740141e-04 4.1756008e-04]\n",
|
|
" [ 1.0451697e-03 3.3546961e-04 5.9144793e-04 4.4031706e-04]\n",
|
|
" [ 1.0736298e-03 3.5373447e-04 6.3407014e-04 4.5782005e-04]\n",
|
|
" [ 1.0951312e-03 3.6800583e-04 6.6750462e-04 4.7134489e-04]]]\n",
|
|
"y_hat\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"[[[0.56815224 0.31465186 0.67825588 0.64328671]\n",
|
|
" [0.56821143 0.31465491 0.67825813 0.64330781]\n",
|
|
" [0.56826009 0.31466287 0.67826504 0.64333 ]\n",
|
|
" [0.56829949 0.31467288 0.67827262 0.64335316]\n",
|
|
" [0.56833098 0.31468343 0.67827886 0.64337709]\n",
|
|
" [0.56835589 0.31469379 0.67828295 0.6434015 ]\n",
|
|
" [0.56837546 0.31470362 0.67828472 0.6434262 ]\n",
|
|
" [0.5683908 0.31471284 0.67828434 0.64345101]\n",
|
|
" [0.56840286 0.31472145 0.67828211 0.64347582]\n",
|
|
" [0.56841241 0.31472953 0.67827839 0.64350057]]\n",
|
|
"\n",
|
|
" [[0.52118569 0.2667701 0.6116282 0.57914152]\n",
|
|
" [0.52129962 0.26674064 0.61170272 0.57919105]\n",
|
|
" [0.52138136 0.2666941 0.61173989 0.57921055]\n",
|
|
" [0.5214363 0.26663209 0.61174624 0.57920785]\n",
|
|
" [0.52146915 0.26655695 0.61172708 0.57918866]\n",
|
|
" [0.52148399 0.26647106 0.61168688 0.57915714]\n",
|
|
" [0.52148434 0.26637663 0.6116294 0.57911637]\n",
|
|
" [0.5214732 0.26627551 0.61155782 0.57906863]\n",
|
|
" [0.52145306 0.26616919 0.61147482 0.57901565]\n",
|
|
" [0.52142596 0.26605888 0.61138262 0.57895869]]]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"y_valid_trend = y_valid_trend.reshape(batch_valid-cnt_thrown_idx, frwd, n_out)\n",
|
|
"print ('y_valid_trend')\n",
|
|
"print (type(y_valid_trend))\n",
|
|
"print (y_valid_trend.shape)\n",
|
|
"print (y_valid_trend)\n",
|
|
"\n",
|
|
"print ('y_hat_detrend')\n",
|
|
"print (type(y_hat_detrend))\n",
|
|
"print (y_hat_detrend.shape)\n",
|
|
"print (y_hat_detrend)\n",
|
|
"\n",
|
|
"y_hat = y_valid_trend + y_hat_detrend\n",
|
|
"print ('y_hat')\n",
|
|
"print (type(y_hat))\n",
|
|
"print (y_hat.shape)\n",
|
|
"print (y_hat)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 30,
|
|
"id": "47cabf49-63b4-41b6-a9a1-b83b9a703137",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
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]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
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"data": {
|
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"image/png": 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",
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
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},
|
|
"metadata": {},
|
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"output_type": "display_data"
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},
|
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{
|
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
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]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"for i in range(batch_valid-cnt_thrown_idx):\n",
|
|
" actual = pd.concat([pd.DataFrame(X_valid[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_valid[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(actual)\n",
|
|
" forecast = pd.concat([pd.DataFrame(X_valid[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_hat[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(forecast)\n",
|
|
"# =================== XPR ======================== \n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['XRP'], label = 'actual XRP', marker = 'o', color = 'black')\n",
|
|
" ax.plot(forecast.index, forecast['XRP'], label = 'forecast XRP', marker = 'x', color = 'orange')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('XRP Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== ETH ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['ETH'], label = 'actual ETH', marker = 'o', color = 'blue')\n",
|
|
" ax.plot(forecast.index, forecast['ETH'], label = 'forecast ETH', marker = 'x', color = 'red')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('ETH Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== LTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['LTC'], label = 'actual LTC', marker = 'o', color = 'green')\n",
|
|
" ax.plot(forecast.index, forecast['LTC'], label = 'forecast LTC', marker = 'x', color = 'purple')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('LTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== BTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['BTC'], label = 'actual BTC', marker = 'o', color = 'violet')\n",
|
|
" ax.plot(forecast.index, forecast['BTC'], label = 'forecast BTC', marker = 'x', color = 'orange')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('BTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d2bbb8b0-01bd-4dce-bfcb-6dc4bd7d1172",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.11.0rc1"
|
|
}
|
|
},
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}
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