




'''simple docstring'''





from dataclasses import dataclass
from typing import Callable, Optional

import datasets




@dataclass
class     UpperCamelCase					(  datasets.BuilderConfig					):
  a    :Optional[Callable]      					=				None
  a    :Optional[dict]      					=				None
  a    :Optional[datasets.Features]      					=				None



  def 						a_       ( self   ):







      '''simple docstring'''


      assert self.generator is not None, "generator must be specified"

      if self.gen_kwargs is None:
          _a							:       Tuple       					=			{}






class     UpperCamelCase					(  datasets.GeneratorBasedBuilder					):
  a    :Dict      					=				GeneratorConfig



  def 						a_       ( self   ):







      '''simple docstring'''


      return datasets.DatasetInfo(features=self.config.features   )



  def 						a_       ( self		,    __lowerCAmelCase   ):







      '''simple docstring'''


      return [datasets.SplitGenerator(name=datasets.Split.TRAIN		,    gen_kwargs=self.config.gen_kwargs   )]



  def 						a_       ( self		,    **__lowerCAmelCase   ):







      '''simple docstring'''


      for idx, ex in enumerate(self.config.generator(**__lowerCAmelCase   )   ):
          yield idx, ex








'''simple docstring'''





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





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


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

  # get values with two different mask size
  a		:  str   			=			median_filter(gray, 3)
  a		:  Optional[Any]   			=			median_filter(gray, 5)

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


