






def        _lowerCamelCase		(  __A      :							list						,						__A      :							int						,						__A      :							int						,						__A      :							int	) ->   int:
    _UpperCAmelCase			: str     					=			int((lower_bound + upper_bound) // 2	)
    if array[r] == value:
        return r
    if lower_bound >= upper_bound:
        return -1
    if array[r] < value:
        return binary_search(SCREAMING_SNAKE_CASE_						,						r + 1						,						SCREAMING_SNAKE_CASE_						,						SCREAMING_SNAKE_CASE_	)
    else:
        return binary_search(SCREAMING_SNAKE_CASE_						,						SCREAMING_SNAKE_CASE_						,						r - 1						,						SCREAMING_SNAKE_CASE_	)

def        _lowerCamelCase		(  __A      :							int						,						__A      :							list	) ->   list:
    _UpperCAmelCase			: str     					=			0
    if matrix[index][0] == value:
        return [index, 0]
    while index < len(SCREAMING_SNAKE_CASE_	) and matrix[index][0] < value:
        _UpperCAmelCase			: Tuple     					=			binary_search(matrix[index]						,						0						,						len(matrix[index]	) - 1						,						SCREAMING_SNAKE_CASE_	)
        if r != -1:
            return [index, r]
        index += 1
    return [-1, -1]


if __name__ == "__main__":
  import doctest

  doctest.testmod()












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

def        _lowerCamelCase		(  __A      :							str						,						__A      :							List[str]=3	) ->   List[Any]:
    _UpperCAmelCase			: Tuple     					=			int(mask / 2	)
    # copy image size
    _UpperCAmelCase			: Any     					=			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
            _UpperCAmelCase			: Any     					=			ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]	)
            # calculate mask median
            _UpperCAmelCase			: List[str]     					=			sort(__A	)[inta(divide((multiply(__A						,						__A	))						,						2	) + 1	)]
            _UpperCAmelCase			: int     					=			median
    return median_img


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

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

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




