



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







class       _snake_case				:






   '''simple docstring'''






   def __init__(    self:     Tuple  ,lowerCamelCase_:     List[Any]  ,lowerCamelCase_:     int							)	->      Union[str, Any]:
       UpperCAmelCase_     :       Optional[Any]  		=					0
       # max greyscale value for #FFFFFF
       UpperCAmelCase_     :       List[Any]  		=					int(self.get_greyscale(255  ,255  ,255							)							)

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

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


   @classmethod
   def       A__    (    cls:     int  ,lowerCamelCase_:     int  ,lowerCamelCase_:     int  ,lowerCamelCase_:     int							)	->      float:
       return 0.1_1_4 * blue + 0.5_8_7 * green + 0.2_1_2_6 * red






   def       A__    (    self:     Optional[int]							)	->      None:
       for y in range(self.height							):
           for x in range(self.width							):
               UpperCAmelCase_     :       Any  		=					int(self.get_greyscale(*self.input_img[y][x]							)							)
               if self.threshold > greyscale + self.error_table[y][x]:
                   UpperCAmelCase_     :       str  		=					(0, 0, 0)
                   UpperCAmelCase_     :       Union[str, Any]  		=					greyscale + self.error_table[x][y]
               else:
                   UpperCAmelCase_     :       Union[str, Any]  		=					(255, 255, 255)
                   UpperCAmelCase_     :       Optional[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
      UpperCamelCase_									=   [
          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()








def __A       ( __lowerCAmelCase = 100					,						__lowerCAmelCase = 100      )->    int:





						"""simple docstring"""



						return max(
						    sum(int(__lowerCAmelCase      ) for x in str(base**power      )      )
						    for base in range(__lowerCAmelCase      )
						    for power in range(__lowerCAmelCase      )      )


# Tests
if __name__ == "__main__":
		import doctest

		doctest.testmod()
