




'''simple docstring'''

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





class __magic_name__:






						def __init__(   self						:						str					,   __UpperCamelCase						:						Union[str, Any]					,   __UpperCamelCase						:						int       ):



									'''simple docstring'''






									snake_case__          =						0
									# max greyscale value for #FFFFFF
									snake_case__          =						int(self.get_greyscale(2_5_5					,   2_5_5					,   2_5_5       )       )

									if not self.min_threshold < threshold < self.max_threshold:
												snake_case__          =						f"""Factor value should be from 0 to {self.max_threshold}"""
												raise ValueError(__UpperCamelCase       )

									snake_case__          =						input_img
									snake_case__          =						threshold
									snake_case__    ,			snake_case__          =						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__          =						[
									    [0 for _ in range(self.height + 4       )] for __ in range(self.width + 1       )
									]
									snake_case__          =						np.ones((self.width, self.height, 3)					,   np.uinta       ) * 2_5_5






						@classmethod
						def       __lowerCAmelCase(   cls						:						Dict					,   __UpperCamelCase						:						int					,   __UpperCamelCase						:						int					,   __UpperCamelCase						:						int       ):



									'''simple docstring'''






									return 0.1_14 * blue + 0.5_87 * green + 0.21_26 * red







						def       __lowerCAmelCase(   self						:						List[Any]       ):



									'''simple docstring'''






									for y in range(self.height       ):
												for x in range(self.width       ):
															snake_case__          =						int(self.get_greyscale(*self.input_img[y][x]       )       )
															if self.threshold > greyscale + self.error_table[y][x]:
																		snake_case__          =						(0, 0, 0)
																		snake_case__          =						greyscale + self.error_table[x][y]
															else:
																		snake_case__          =						(2_5_5, 2_5_5, 2_5_5)
																		snake_case__          =						greyscale + self.error_table[x][y] - 2_5_5
															self.error_table[y][x + 1] += int(8 / 3_2 * current_error       )
															self.error_table[y][x + 2] += int(4 / 3_2 * current_error       )
															self.error_table[y + 1][x] += int(8 / 3_2 * current_error       )
															self.error_table[y + 1][x + 1] += int(4 / 3_2 * current_error       )
															self.error_table[y + 1][x + 2] += int(2 / 3_2 * current_error       )
															self.error_table[y + 1][x - 1] += int(4 / 3_2 * current_error       )
															self.error_table[y + 1][x - 2] += int(2 / 3_2 * 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, 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()

'''simple docstring'''







def   lowerCAmelCase(  a__    :  int = 1000      ):







       '''simple docstring'''






       lowerCamelCase__				   =      0
       for i in range(a__      ):
              if i % 3 == 0 or i % 5 == 0:
                     result += i
       return result


if __name__ == "__main__":
    print(f'{solution() = }')

