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





def  lowerCAmelCase__     (      _UpperCamelCase							:					Tuple			,      _UpperCamelCase							:					Union[str, Any]=3       )       ->					Optional[int]:





						"""simple docstring"""






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








def       lowerCAmelCase_      (	lowerCamelCase:							str    )       ->      int:


      '''simple docstring'''




      lowerCamelCase__   	=					53_81
      for x in s:
            lowerCamelCase__   	=					((hash_value << 5) + hash_value) + ord(lowerCamelCase    )
      return hash_value & 0Xffff_ffff