

import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	int    ,			SCREAMING_SNAKE_CASE__			:	int    ,			SCREAMING_SNAKE_CASE__			:	int    ,			SCREAMING_SNAKE_CASE__			:	int    ,			SCREAMING_SNAKE_CASE__			:	int    ,			SCREAMING_SNAKE_CASE__			:	int      )							->      np.ndarray:





    '''simple docstring'''






    if (ksize % 2) == 0:
        A__          =   ksize + 1
    A__          =   np.zeros((ksize, ksize)    ,			dtype=np.floataa      )

    # each value
    for y in range(SCREAMING_SNAKE_CASE__      ):
        for x in range(SCREAMING_SNAKE_CASE__      ):
            # distance from center
            A__          =   x - ksize // 2
            A__          =   y - ksize // 2

            # degree to radiant
            A__          =   theta / 180 * np.pi
            A__          =   np.cos(_theta      )
            A__          =   np.sin(_theta      )

            # get kernel x
            A__          =   cos_theta * px + sin_theta * py

            # get kernel y
            A__          =   -sin_theta * px + cos_theta * py

            # fill kernel
            A__          =   np.exp(
                -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)      ) * np.cos(2 * np.pi * _x / lambd + psi      )

    return gabor


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     # read original image
     lowercase_       		=  imread("../image_data/lena.jpg")
     # turn image in gray scale value
     lowercase_       		=  cvtColor(img, COLOR_BGR2GRAY)

     # Apply multiple Kernel to detect edges
     lowercase_       		=  np.zeros(gray.shape[:2])
     for theta in [0, 30, 60, 90, 120, 150]:
          lowercase_       		=  gabor_filter_kernel(10, 8, theta, 10, 0, 0)
          out += filteraD(gray, CV_8UC3, kernel_aa)
     lowercase_       		=  out / out.max() * 255
     lowercase_       		=  out.astype(np.uinta)

     imshow("Original", gray)
     imshow("Gabor filter with 20x20 mask and 6 directions", out)

     waitKey(0)




from timeit import timeit
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	int      )							->      int:





    '''simple docstring'''






    if number < 0:
        raise ValueError('the value of input must not be negative'      )
    A__          =   0
    while number:
        number &= number - 1
        result += 1
    return result
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	int      )							->      int:





    '''simple docstring'''






    if number < 0:
        raise ValueError('the value of input must not be negative'      )
    A__          =   0
    while number:
        if number % 2 == 1:
            result += 1
        number >>= 1
    return result
def 						_snake_case(    )							->      None:





    '''simple docstring'''






    def do_benchmark(SCREAMING_SNAKE_CASE__			:	int      ) -> None:
        A__          =   'import __main__ as z'
        print(f'Benchmark when {number = }:'      )
        print(f'{get_set_bits_count_using_modulo_operator(SCREAMING_SNAKE_CASE__      ) = }'      )
        A__          =   timeit('z.get_set_bits_count_using_modulo_operator(25)'    ,			setup=SCREAMING_SNAKE_CASE__      )
        print(f'timeit() runs in {timing} seconds'      )
        print(f'{get_set_bits_count_using_brian_kernighans_algorithm(SCREAMING_SNAKE_CASE__      ) = }'      )
        A__          =   timeit(
            'z.get_set_bits_count_using_brian_kernighans_algorithm(25)'    ,			setup=SCREAMING_SNAKE_CASE__    ,			)
        print(f'timeit() runs in {timing} seconds'      )

    for number in (25, 37, 58, 0):
        do_benchmark(SCREAMING_SNAKE_CASE__      )
        print()


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     benchmark()

