
'''simple docstring'''

from __future__ import annotations

from collections.abc import Iterator
from typing import Any


class   a_  :




       def __init__(     self   ,   snake_case_  ):
         _lowerCAmelCase       :  Any   				=					data
         _lowerCAmelCase       :  Node | None   				=					None







       def __str__(     self  ):
         return f'{self.data}'



class   a_  :




       def __init__(     self  ):
         _lowerCAmelCase       :  Node | None   				=					None
         _lowerCAmelCase       :  Node | None   				=					None




       def __iter__(     self  ):
         _lowerCAmelCase       :  int   				=					self.front
         while node:
           yield node.data
           _lowerCAmelCase       :  int   				=					node.next




       def __len__(     self  ):
         return len(tuple(iter(self  )  )  )




       def __str__(     self  ):
         return " <- ".join(str(snake_case_  ) for item in self  )




       def 							__UpperCamelCase       (     self  ):
         return len(self  ) == 0




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         _lowerCAmelCase       :  Any   				=					Node(snake_case_  )
         if self.is_empty():
           _lowerCAmelCase       :  Optional[Any]   				=					node
         else:
           assert isinstance(self.rear   ,   snake_case_  )
           _lowerCAmelCase       :  Union[str, Any]   				=					node
           _lowerCAmelCase       :  List[Any]   				=					node




       def 							__UpperCamelCase       (     self  ):
         if self.is_empty():
           raise IndexError("""dequeue from empty queue"""  )
         assert isinstance(self.front   ,   snake_case_  )
         _lowerCAmelCase       :  List[str]   				=					self.front
         _lowerCAmelCase       :  Optional[Any]   				=					self.front.next
         if self.front is None:
           _lowerCAmelCase       :  Tuple   				=					None
         return node.data







       def 							__UpperCamelCase       (     self  ):
         _lowerCAmelCase       :  List[str]   				=					None


if __name__ == "__main__":
     from doctest import testmod

     testmod()




'''simple docstring'''

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


def 	_UpperCAmelCase				(  _lowerCamelCase						:       str  ,      _lowerCamelCase						:       List[Any]=3		)    ->						Union[str, Any]:
  _lowerCAmelCase       :  str   				=					int(mask / 2		)
  # copy image size
  _lowerCAmelCase       :  Dict   				=					zeros_like(_lowerCamelCase		)
  for i in range(_lowerCamelCase  ,      gray_img.shape[0] - bd		):
    for j in range(_lowerCamelCase  ,      gray_img.shape[1] - bd		):
      # get mask according with mask
      _lowerCAmelCase       :  Union[str, Any]   				=					ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]		)
      # calculate mask median
      _lowerCAmelCase       :  str   				=					sort(_lowerCamelCase		)[inta(divide((multiply(_lowerCamelCase  ,      _lowerCamelCase		))  ,      2		) + 1		)]
      _lowerCAmelCase       :  Dict   				=					median
  return median_img


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

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

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


