






from __future__ import annotations

from enum import Enum
class 							A_      (  __lowercase     ):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE							:     List[Any]	=   2_4
 _SCREAMING_SNAKE_CASE							:     Optional[Any]	=   2_1
 _SCREAMING_SNAKE_CASE							:     Any	=   1_8
 _SCREAMING_SNAKE_CASE							:     Dict	=   1_5
 _SCREAMING_SNAKE_CASE							:     int	=   1_2
 _SCREAMING_SNAKE_CASE							:     Optional[int]	=   9
 _SCREAMING_SNAKE_CASE							:     List[str]	=   6
 _SCREAMING_SNAKE_CASE							:     List[Any]	=   3
 _SCREAMING_SNAKE_CASE							:     List[str]	=   2
 _SCREAMING_SNAKE_CASE							:     List[str]	=   1
 _SCREAMING_SNAKE_CASE							:     str	=   -1
 _SCREAMING_SNAKE_CASE							:     Optional[Any]	=   -2
 _SCREAMING_SNAKE_CASE							:     Tuple	=   -3
 _SCREAMING_SNAKE_CASE							:     Optional[int]	=   -6
 _SCREAMING_SNAKE_CASE							:     Union[str, Any]	=   -9
 _SCREAMING_SNAKE_CASE							:     List[str]	=   -1_2
 _SCREAMING_SNAKE_CASE							:     Dict	=   -1_5
 _SCREAMING_SNAKE_CASE							:     Tuple	=   -1_8
 _SCREAMING_SNAKE_CASE							:     str	=   -2_1
 _SCREAMING_SNAKE_CASE							:     Union[str, Any]	=   -2_4



class 							A_      (  __lowercase     ):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE							:     List[Any]	=   8
 _SCREAMING_SNAKE_CASE							:     List[Any]	=   7
 _SCREAMING_SNAKE_CASE							:     str	=   6
 _SCREAMING_SNAKE_CASE							:     Dict	=   5
 _SCREAMING_SNAKE_CASE							:     Optional[int]	=   4
 _SCREAMING_SNAKE_CASE							:     str	=   3
 _SCREAMING_SNAKE_CASE							:     List[Any]	=   2
 _SCREAMING_SNAKE_CASE							:     Any	=   1



def        _lowerCamelCase		(  __A      :							float						,						__A      :							str | SIUnit						,						__A      :							str | SIUnit						,						) ->   float:
    if isinstance(__A						,						__A	):
        _UpperCAmelCase			: Optional[Any]     					=			SIUnit[known_prefix.lower()]
    if isinstance(__A						,						__A	):
        _UpperCAmelCase			: int     					=			SIUnit[unknown_prefix.lower()]
    _UpperCAmelCase			: float     					=			known_amount * (
        10 ** (known_prefix.value - unknown_prefix.value)
    )
    return unknown_amount

def        _lowerCamelCase		(  __A      :							float						,						__A      :							str | BinaryUnit						,						__A      :							str | BinaryUnit						,						) ->   float:
    if isinstance(__A						,						__A	):
        _UpperCAmelCase			: List[str]     					=			BinaryUnit[known_prefix.lower()]
    if isinstance(__A						,						__A	):
        _UpperCAmelCase			: Optional[Any]     					=			BinaryUnit[unknown_prefix.lower()]
    _UpperCAmelCase			: float     					=			known_amount * (
        2 ** ((known_prefix.value - unknown_prefix.value) * 10)
    )
    return unknown_amount


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)




