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import time
from datetime import datetime

import win32api
import winsound

frequency = 1500
duration = 100

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# -*-coding: utf-8 -
import sys, os, re, datetime, copy, json 
import logging
import xlwings as xw
import resource_rc
import util, kw_util

from PyQt5 import QtCore, QtWidgets
from PyQt5.QtCore import QObject, pyqtSlot, pyqtSignal, QUrl, QEvent
from PyQt5.QtCore import QStateMachine, QState, QTimer, QFinalState

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import numpy as np
import pandas as pd
from keras.models import Sequential
from keras.layers import Dense, LSTM, Dropout, Conv2D, Reshape, TimeDistributed, Flatten, Conv1D,ConvLSTM2D, MaxPooling1D
from keras.layers.core import Dense, Activation, Dropout
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import mean_squared_error
import tensorflow as tf
import matplotlib.pyplot as plt

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def create_dataset(signal_data, look_back=1):
    dataX, dataY = [], []
    for i in range(len(signal_data) - look_back):
        dataX.append(signal_data[i:(i + look_back), :])
        dataY.append(signal_data[i + look_back, -1])
    return np.array(dataX), np.array(dataY)



look_back = 20