import concurrent.futures
import math
import numpy as np

matrixSize = 200
numMatrix = 10
nums = [np.random.randn(matrixSize, matrixSize)\
        for _ in range(numMatrix)]

#nums = np.random.randn(10)

def user_square(x):
    result = np.dot(x.T, x)
    return np.max(result)
#    return inputNumber * inputNumber

def main():

    result1 = list(map(user_square, nums))

    with concurrent.futures.ProcessPoolExecutor() as executor:
        result3 = list(executor.map(user_square, nums))

    print(result3)

if __name__ == '__main__':
    main()