


import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey

class    __magic_name__						:


     def __init__(   self				:  Optional[int]				,						lowerCamelCase__				:  List[Any]				,						lowerCamelCase__				:  int      )	->   Optional[Any]:





      '''simple docstring'''






      UpperCamelCase__       :     int 							= 0
      # max greyscale value for #FFFFFF
      UpperCamelCase__       :     Optional[int] 							= int(self.get_greyscale(255				,						255				,						255      )      )

      if not self.min_threshold < threshold < self.max_threshold:
       UpperCamelCase__       :     Any 							= F"Factor value should be from 0 to {self.max_threshold}"
       raise ValueError(lowerCamelCase__      )

      UpperCamelCase__       :     Dict 							= input_img
      UpperCamelCase__       :     Any 							= threshold
      UpperCamelCase__							,					UpperCamelCase__       :     int 							= self.input_img.shape[1], self.input_img.shape[0]

      # error table size (+4 columns and +1 row) greater than input image because of
      # lack of if statements
      UpperCamelCase__       :     Tuple 							= [
          [0 for _ in range(self.height + 4      )] for __ in range(self.width + 1      )
      ]
      UpperCamelCase__       :     Dict 							= np.ones((self.width, self.height, 3)				,						np.uinta      ) * 255


     @classmethod
     def   UpperCAmelCase__						(   cls				:  List[str]				,						lowerCamelCase__				:  int				,						lowerCamelCase__				:  int				,						lowerCamelCase__				:  int      )	->   float:





      '''simple docstring'''






      return 0.114 * blue + 0.587 * green + 0.2126 * red


     def   UpperCAmelCase__						(   self				:  Optional[Any]      )	->   None:





      '''simple docstring'''






      for y in range(self.height      ):
       for x in range(self.width      ):
        UpperCamelCase__       :     str 							= int(self.get_greyscale(*self.input_img[y][x]      )      )
        if self.threshold > greyscale + self.error_table[y][x]:
         UpperCamelCase__       :     Dict 							= (0, 0, 0)
         UpperCamelCase__       :     Tuple 							= greyscale + self.error_table[x][y]
        else:
         UpperCamelCase__       :     List[Any] 							= (255, 255, 255)
         UpperCamelCase__       :     Any 							= greyscale + self.error_table[x][y] - 255
        self.error_table[y][x + 1] += int(8 / 32 * current_error      )
        self.error_table[y][x + 2] += int(4 / 32 * current_error      )
        self.error_table[y + 1][x] += int(8 / 32 * current_error      )
        self.error_table[y + 1][x + 1] += int(4 / 32 * current_error      )
        self.error_table[y + 1][x + 2] += int(2 / 32 * current_error      )
        self.error_table[y + 1][x - 1] += int(4 / 32 * current_error      )
        self.error_table[y + 1][x - 2] += int(2 / 32 * current_error      )


if __name__ == "__main__":
       # create Burke's instances with original images in greyscale
       __UpperCamelCase							:							int    							=					[
           Burkes(imread("image_data/lena.jpg", 1), threshold)
           for threshold in (1, 126, 130, 140)
       ]

       for burkes in burkes_instances:
              burkes.process()

       for burkes in burkes_instances:
              imshow(
                  f"Original image with dithering threshold: {burkes.threshold}",
                  burkes.output_img,
              )

       waitKey(0)
       destroyAllWindows()






from hashlib import mda, shaaaa

__UpperCamelCase							:							Dict    							=					(shaaaa, mda)

class    __magic_name__						:


     def __init__(   self				:  Optional[Any]				,						lowerCamelCase__				:  int = 8      )	->   None:





      '''simple docstring'''






      UpperCamelCase__       :     int 							= 0b0
      UpperCamelCase__       :     Optional[int] 							= size


     def   UpperCAmelCase__						(   self				:  Tuple				,						lowerCamelCase__				:  str      )	->   None:





      '''simple docstring'''






      UpperCamelCase__       :     Union[str, Any] 							= self.hash_(lowerCamelCase__      )
      self.bitarray |= h


     def   UpperCAmelCase__						(   self				:  Any				,						lowerCamelCase__				:  str      )	->   bool:





      '''simple docstring'''






      UpperCamelCase__       :     Any 							= self.hash_(lowerCamelCase__      )
      return (h & self.bitarray) == h


     def __contains__(   self				:  Any				,						lowerCamelCase__				:  str      )	->   bool:





      '''simple docstring'''






      return self.exists(lowerCamelCase__      )


     def   UpperCAmelCase__						(   self				:  Union[str, Any]				,						lowerCamelCase__				:  int      )	->   str:





      '''simple docstring'''






      UpperCamelCase__       :     Optional[int] 							= bin(lowerCamelCase__      )[2:]
      return res.zfill(self.size      )


     @property
     def   UpperCAmelCase__						(   self				:  Tuple      )	->   str:





      '''simple docstring'''






      return self.format_bin(self.bitarray      )


     def   UpperCAmelCase__						(   self				:  int				,						lowerCamelCase__				:  str      )	->   int:





      '''simple docstring'''






      UpperCamelCase__       :     Union[str, Any] 							= 0b0
      for func in HASH_FUNCTIONS:
       UpperCamelCase__       :     Optional[Any] 							= (
           int.from_bytes(func(value.encode()      ).digest()				,						'''little'''      ) % self.size
       )
       res |= 2**position
      return res


     def   UpperCAmelCase__						(   self				:  Union[str, Any]				,						lowerCamelCase__				:  str      )	->   str:





      '''simple docstring'''






      return self.format_bin(self.hash_(lowerCamelCase__      )      )


     @property
     def   UpperCAmelCase__						(   self				:  str      )	->   float:





      '''simple docstring'''






      UpperCamelCase__       :     Tuple 							= bin(self.bitarray      ).count('''1'''      )
      return (n_ones / self.size) ** len(lowerCamelCase__      )


