

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







class 						snake_case  :



   '''simple docstring'''






   def __init__(   self							:     Tuple			,						lowerCAmelCase							:     Dict			,						lowerCAmelCase							:     int)			->			Tuple:

    """simple docstring"""







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

    if not self.min_threshold < threshold < self.max_threshold:
     _snake_case      :					Dict					=   F'''Factor value should be from 0 to {self.max_threshold}'''
     raise ValueError(lowerCAmelCase)

    _snake_case      :					int					=   input_img
    _snake_case      :					List[Any]					=   threshold
    _snake_case      :					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
    _snake_case      :					Optional[int]					=   [
        [0 for _ in range(self.height + 4)] for __ in range(self.width + 1)
    ]
    _snake_case      :					List[Any]					=   np.ones((self.width, self.height, 3)			,						np.uinta) * 255

   @classmethod
   def        UpperCamelCase_					(   cls							:     Optional[int]			,						lowerCAmelCase							:     int			,						lowerCAmelCase							:     int			,						lowerCAmelCase							:     int)			->			float:

    """simple docstring"""







    return 0.114 * blue + 0.587 * green + 0.2_126 * red


   def        UpperCamelCase_					(   self							:     Union[str, Any])			->			None:

    """simple docstring"""







    for y in range(self.height):
     for x in range(self.width):
      _snake_case      :					str					=   int(self.get_greyscale(*self.input_img[y][x]))
      if self.threshold > greyscale + self.error_table[y][x]:
       _snake_case      :					List[str]					=   (0, 0, 0)
       _snake_case      :					Union[str, Any]					=   greyscale + self.error_table[x][y]
      else:
       _snake_case      :					Dict					=   (255, 255, 255)
       _snake_case      :					int					=   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
  a__      =		[
      Burkes(imread("""image_data/lena.jpg""", 1), threshold)
      for threshold in (1, 1_26, 1_30, 1_40)
  ]

  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()





def  lowercase    (				SCREAMING_SNAKE_CASE__    :		float			,    SCREAMING_SNAKE_CASE__    :		float			)					->       float:
 return a + b


if __name__ == "__main__":
  a__      =		5
  a__      =		6
  print(F'''The sum of {a} + {b} is {add(a, b)}''')
