


'''simple docstring'''






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




class 		a__				:





							'''simple docstring'''






							def __init__(		self					,    lowerCamelCase_					,    lowerCamelCase_   )       ->							Optional[Any]:
														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(lowerCamelCase_   )

														lowerCAmelCase__          =	input_img
														lowerCAmelCase__          =	threshold
														lowerCAmelCase__   ,					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   __SCREAMING_SNAKE_CASE							(		cls					,    lowerCamelCase_					,    lowerCamelCase_					,    lowerCamelCase_   )       ->							float:
														return 0.114 * blue + 0.587 * green + 0.2_126 * red







							def   __SCREAMING_SNAKE_CASE							(		self   )       ->							None:
														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
		__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()



'''simple docstring'''






from __future__ import annotations


def 					_snake_case   (     A ,    A       )						->    list[int]:
							lowerCAmelCase__          =	{}
							for index, val in enumerate(A       ):
														lowerCAmelCase__          =	target - val
														if compl in chk_map:
																					return [chk_map[compl], index]
														lowerCAmelCase__          =	index
							return []


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		print(f"""{two_sum([2, 7, 11, 15], 9) = }""")