import numpy as np
import time


def init_array(size: int):
    result = np.empty((size, size), dtype=np.complex64)
    result.real = np.random.rand(size)
    result.imag = np.random.rand(size)
    return result

def numpy_fft(array, window_size:int):
    np.fft.fft(array, window_size)

def scipy_fft(array, window_size: int):
    import scipy.fftpack
    scipy.fftpack.fft(array, window_size)

def pyfftw_fft(array):
    import pyfftw
    pyfftw.interfaces.cache.enable()
    fft_a = pyfftw.interfaces.numpy_fft.fft(array, threads=2, overwrite_input=True)

if __name__ == '__main__':
    print("Size\tIterations\tNumpy\tScipy\tPyFFTW")
    iterations = 70
    arr = init_array(1024)
    numpy_time = time.time()
    for _ in range(iterations):
        numpy_fft(arr, 1024)
    numpy_time = time.time()-numpy_time

    scipy_time = time.time()
    for _ in range(iterations):
        scipy_fft(arr, 1024)
    scipy_time = time.time()-scipy_time

    pyfftw_time = time.time()
    for _ in range(iterations):
        pyfftw_fft(arr)
    pyfftw_time = time.time()-pyfftw_time

    print("{0}\t{1}\t\t\t{2:.4f}\t{3:.4f}\t{4:.4f}".format(1024, iterations, numpy_time, scipy_time, pyfftw_time))