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merge files.py
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from Savery import *
import math
def merge():
# Creating a list of filenames
filenames = ["board.16.500.txt", "board.17.1000.txt", "board.18.500.txt", "board.0.1000.txt", "board.0.55869.txt", "board.1.1000.txt", "board.15.1000.txt"]
# Open file3 in write mode
with open('board.1.1.txt', 'w') as outfile:
# Iterate through list
for names in filenames:
# Open each file in read mode
with open(names) as infile:
# read the data from file1 and
# file2 and write it in file3
outfile.write(infile.read())
# Add '\n' to enter data of file2
# from next line
if __name__ == "__main__":
input_data = np.loadtxt("board.1.1.txt").reshape(-1, 32)
print("input_data ", input_data.shape)
print(input_data)
merge()
input_data = np.loadtxt("board.1.1.txt").reshape(-1, 32)
print("input_data ", input_data.shape)
print(input_data)
#
# i =0
# input_data = np.loadtxt("board.1.17.txt")
# print("1 ", input_data.shape)
# i += len(input_data)
# input_data = np.loadtxt("board.2.100.txt")
# print("2 ", input_data.shape)
# i += len(input_data)
# input_data = np.loadtxt("board.4.100.txt")
# print("4 ", input_data.shape)
# i += len(input_data)
# input_data = np.loadtxt("board.5.100.txt")
# print("5 ", input_data.shape)
# i += len(input_data)
# input_data = np.loadtxt("board.6.100.txt")
# print("6 ", input_data.shape)
# i += len(input_data)
# input_data = np.loadtxt("board.7.200.txt")
# print("7 ", input_data.shape)
# i += len(input_data)
# input_data = np.loadtxt("board.8.500.txt")
# print("8 ", input_data.shape)
# i += len(input_data)
# input_data = np.loadtxt("board.9.100.txt")
# print("9 ", input_data.shape)
# i += len(input_data)
# input_data = np.loadtxt("board.10.250.txt")
# print("10 ", input_data.shape)
# i += len(input_data)
# input_data = np.loadtxt("board.11.250.txt")
# print("11 ", input_data.shape)
# i += len(input_data)
# print("i ", i)
# input_data = np.loadtxt("board.0.55869.txt").reshape(-1, 32)
# print("input_data ", input_data.shape)
# print(input_data)
#
# train_input = input_data.astype('float32') / 5
# print("train_input ", train_input)
# print("shape ", train_input.shape)
# print()