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



class 			UpperCamelCase					:

     '''simple docstring'''

     def __init__(       self					,					A_					,					A_    )			->					List[str]:






           """simple docstring"""
           _lowerCamelCase           =					0
           # max greyscale value for #FFFFFF
           _lowerCamelCase           =					int(self.get_greyscale(2_55					,					2_55					,					2_55    )    )

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

           _lowerCamelCase           =					input_img
           _lowerCamelCase           =					threshold
           _lowerCamelCase           =					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
           _lowerCamelCase           =					[
               [0 for _ in range(self.height + 4    )] for __ in range(self.width + 1    )
           ]
           _lowerCamelCase           =					np.ones((self.width, self.height, 3)					,					np.uinta    ) * 2_55



     @classmethod
     def 		UpperCamelCase_    (       cls					,					A_					,					A_					,					A_    )			->					Union[str, Any]:






           """simple docstring"""
           return 0.114 * blue + 0.587 * green + 0.2126 * red





     def 		UpperCamelCase_    (       self    )			->					List[Any]:






           """simple docstring"""
           for y in range(self.height    ):
                 for x in range(self.width    ):
                       _lowerCamelCase           =					int(self.get_greyscale(*self.input_img[y][x]    )    )
                       if self.threshold > greyscale + self.error_table[y][x]:
                             _lowerCamelCase           =					(0, 0, 0)
                             _lowerCamelCase           =					greyscale + self.error_table[x][y]
                       else:
                             _lowerCamelCase           =					(2_55, 2_55, 2_55)
                             _lowerCamelCase           =					greyscale + self.error_table[x][y] - 2_55
                       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
     snake_case__						      =			[
         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 typing import Callable





def     __lowerCamelCase							(   __magic_name__						:	Callable    ):

							def wrapper(__magic_name__						:	Optional[Any]    ):
														a__:							List[Any]									=function_with_docstring.__doc__
														return target_function

							return wrapper





