

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





def 				__a							(       __A			,							__A=3						):
    SCREAMING_SNAKE_CASE__         =    int(mask / 2						)
    # copy image size
    SCREAMING_SNAKE_CASE__         =    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
            SCREAMING_SNAKE_CASE__         =    ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]						)
            # calculate mask median
            SCREAMING_SNAKE_CASE__         =    sort(A__						)[inta(divide((multiply(A__			,							A__						))			,							2						) + 1						)]
            SCREAMING_SNAKE_CASE__         =    median
    return median_img


if __name__ == "__main__":
  # read original image
  A__										=      imread("../image_data/lena.jpg")
  # turn image in gray scale value
  A__										=      cvtColor(img, COLOR_BGR2GRAY)

  # get values with two different mask size
  A__										=      median_filter(gray, 3)
  A__										=      median_filter(gray, 5)

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



def 					UpperCamelCase__		(							A__ = 400_0000       )  ->   int:

				if n <= 1:
								return 0
				snake_case__   :      Optional[Any]   				= 0
				snake_case__   :      Optional[int]   				= 2
				snake_case__   :      str   				= 0
				while 4 * b + a <= n:
								snake_case__				,    snake_case__   :      Optional[Any]   				= b, 4 * b + a
								count += a
				return count + b


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


