"""simple docstring"""


from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import divide, inta, multiply, ravel, sort, zeros_like







def        __a (		A     ,					A=3   ):






     '''simple docstring'''



     lowercase__								=				int(mask / 2   )
     # copy image size
     lowercase__								=				zeros_like(__A   )
     for i in range(__A     ,					gray_img.shape[0] - bd   ):
          for j in range(__A     ,					gray_img.shape[1] - bd   ):
               # get mask according with mask
               lowercase__								=				ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]   )
               # calculate mask median
               lowercase__								=				sort(__A   )[inta(divide((multiply(__A     ,					__A   ))     ,					2   ) + 1   )]
               lowercase__								=				median
     return median_img


if __name__ == "__main__":
 # read original image
 lowerCAmelCase_:       Optional[Any]			     =       imread("../image_data/lena.jpg")
 # turn image in gray scale value
 lowerCAmelCase_:       Union[str, Any]			     =       cvtColor(img, COLOR_BGR2GRAY)

 # get values with two different mask size
 lowerCAmelCase_:       int			     =       median_filter(gray, 3)
 lowerCAmelCase_:       Tuple			     =       median_filter(gray, 5)

 # show result images
 imshow("median filter with 3x3 mask", medianaxa)
 imshow("median filter with 5x5 mask", medianaxa)
 waitKey(0)







from __future__ import annotations





def 				__a							(       __A						):
    SCREAMING_SNAKE_CASE__         =    {1}
    SCREAMING_SNAKE_CASE__         =    [1]
    for _ in range(2			,							depth + 1						):
        SCREAMING_SNAKE_CASE__         =    [*previous_coefficients, 0]
        SCREAMING_SNAKE_CASE__         =    [0, *previous_coefficients]
        SCREAMING_SNAKE_CASE__         =    []
        for x, y in zip(__A			,							__A						):
            coefficients.add(x + y						)
            previous_coefficients.append(x + y						)
    return coefficients





def 				__a							(       __A						):
    SCREAMING_SNAKE_CASE__         =    set()
    for number in unique_coefficients:
        SCREAMING_SNAKE_CASE__         =    2
        SCREAMING_SNAKE_CASE__         =    number
        while divisor**2 <= copy_number:
            SCREAMING_SNAKE_CASE__         =    0
            while copy_number % divisor == 0:
                copy_number //= divisor
                multiplicity += 1
            if multiplicity >= 2:
                non_squarefrees.add(__A						)
                break
            divisor += 1

    return unique_coefficients.difference(__A						)





def 				__a							(       __A = 51						):
    SCREAMING_SNAKE_CASE__         =    get_pascal_triangle_unique_coefficients(__A						)
    SCREAMING_SNAKE_CASE__         =    get_squarefrees(__A						)
    return sum(__A						)


if __name__ == "__main__":
  print(f'''{solution() = }''')


