





import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey
class SCREAMING_SNAKE_CASE_    :






						def __init__(   self   :   int		, _A   :   Union[str, Any]		, _A   :   int						)				->     Tuple:







							"""simple docstring"""


							snake_case_		:      List[str]           =						0
							# max greyscale value for #FFFFFF
							snake_case_		:      Dict           =						int(self.get_greyscale(255		, 255		, 255						)						)

							if not self.min_threshold < threshold < self.max_threshold:
								snake_case_		:      Union[str, Any]           =						F"""Factor value should be from 0 to {self.max_threshold}"""
								raise ValueError(_A						)

							snake_case_		:      int           =						input_img
							snake_case_		:      Union[str, Any]           =						threshold
							snake_case_    ,snake_case_		:      str           =						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_		:      Any           =						[
							    [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   :   List[str]		, _A   :   int		, _A   :   int		, _A   :   int						)				->     float:







							"""simple docstring"""


							return 0.1_1_4 * blue + 0.5_8_7 * green + 0.2_1_2_6 * red






						def UpperCAmelCase_					(   self   :   List[str]						)				->     None:







							"""simple docstring"""


							for y in range(self.height						):
								for x in range(self.width						):
									snake_case_		:      Union[str, Any]           =						int(self.get_greyscale(*self.input_img[y][x]						)						)
									if self.threshold > greyscale + self.error_table[y][x]:
										snake_case_		:      Dict           =						(0, 0, 0)
										snake_case_		:      List[Any]           =						greyscale + self.error_table[x][y]
									else:
										snake_case_		:      Union[str, Any]           =						(255, 255, 255)
										snake_case_		:      Optional[Any]           =						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
						_SCREAMING_SNAKE_CASE   						=		[
						    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()








_SCREAMING_SNAKE_CASE   						=		{
    0: """underwear""",
    1: """pants""",
    2: """belt""",
    3: """suit""",
    4: """shoe""",
    5: """socks""",
    6: """shirt""",
    7: """tie""",
    8: """watch""",
}

_SCREAMING_SNAKE_CASE   						=		[[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

_SCREAMING_SNAKE_CASE   						=		[0 for x in range(len(graph))]
_SCREAMING_SNAKE_CASE   						=		[]


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ):
	snake_case_		:      Any           =						1
	while stack:
		snake_case_		:      List[Any]           =						stack.pop()
		print(__a ,			clothes[current_clothing] )
		order += 1


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ,			__a ):
	snake_case_		:      int           =						1
	for v in graph[u]:
		if not visited[v]:
			depth_first_search(__a ,			__a ,			__a )

	stack.append(__a )


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ):
	for v in range(len(__a ) ):
		if not visited[v]:
			depth_first_search(__a ,			__a ,			__a )


if __name__ == "__main__":
						topological_sort(graph, visited)
						print(stack)
						print_stack(stack, clothes)

