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# -*- coding: utf-8 -*-
from keras.models import Sequential
from keras.layers import Dense, LSTM
import numpy as np
from numpy.random import choice
def prepare_sequences(x_train, window_length):
windows = []
for i, sequence in enumerate(x_train):
/Users/spacegoing/AllSymlinks/macCodeLab/Python/Pomodoro_Python:
total used in directory 80 available 93409992
drwxr-xr-x 19 spacegoing staff 646 Feb 9 23:20 .
drwxr-xr-x 11 spacegoing staff 374 Feb 5 23:38 ..
-rw-r--r-- 1 spacegoing staff 10244 Feb 9 18:44 .DS_Store
-rw-r--r-- 1 spacegoing staff 6365 Jan 23 14:13 .emacs.desktop
-rw-r--r-- 1 spacegoing staff 4 Feb 9 23:17 .emacs.desktop.lock
drwxr-xr-x 17 spacegoing staff 578 Feb 9 23:20 .git
-rw-r--r-- 1 spacegoing staff 1836 Feb 8 10:16 .gitignore
drwxr-xr-x 11 spacegoing staff 374 Feb 9 23:20 .idea