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


class 		__magic_name__   :





		def __init__(							self    :	str						,  lowerCamelCase__    :	Dict						,  lowerCamelCase__    :	int				):
							lowerCAmelCase		:					List[str]  	=     0
							# max greyscale value for #FFFFFF
							lowerCAmelCase		:					Union[str, Any]  	=     int(self.get_greyscale(2_5_5						,  2_5_5						,  2_5_5				)				)

							if not self.min_threshold < threshold < self.max_threshold:
												lowerCAmelCase		:					int  	=     f'''Factor value should be from 0 to {self.max_threshold}'''
												raise ValueError(lowerCamelCase__				)

							lowerCAmelCase		:					Union[str, Any]  	=     input_img
							lowerCAmelCase		:					Optional[int]  	=     threshold
							lowerCAmelCase	,							lowerCAmelCase		:					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
							lowerCAmelCase		:					str  	=     [
							    [0 for _ in range(self.height + 4				)] for __ in range(self.width + 1				)
							]
							lowerCAmelCase		:					Optional[int]  	=     np.ones((self.width, self.height, 3)						,  np.uinta				) * 2_5_5





		@classmethod
		def       _A							(							cls    :	List[str]						,  lowerCamelCase__    :	int						,  lowerCamelCase__    :	int						,  lowerCamelCase__    :	int				):
							return 0.1_1_4 * blue + 0.5_8_7 * green + 0.2_1_2_6 * red





		def       _A							(							self    :	Tuple				):
							for y in range(self.height				):
												for x in range(self.width				):
																	lowerCAmelCase		:					int  	=     int(self.get_greyscale(*self.input_img[y][x]				)				)
																	if self.threshold > greyscale + self.error_table[y][x]:
																						lowerCAmelCase		:					int  	=     (0, 0, 0)
																						lowerCAmelCase		:					Optional[int]  	=     greyscale + self.error_table[x][y]
																	else:
																						lowerCAmelCase		:					int  	=     (2_5_5, 2_5_5, 2_5_5)
																						lowerCAmelCase		:					Union[str, Any]  	=     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
		__SCREAMING_SNAKE_CASE			:   Dict         =     [
		    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()


from ..utils import requires_backends


__SCREAMING_SNAKE_CASE			:   Union[str, Any]         =     None


class 		__magic_name__   :





		def __init__(							self    :	Optional[int]						,  *lowerCamelCase__    :	List[str]						,  **lowerCamelCase__    :	Optional[Any]				):
							requires_backends(self						,  ['''detectron2''']				)





		@classmethod
		def       _A							(							cls    :	Dict						,  *lowerCamelCase__    :	List[str]						,  **lowerCamelCase__    :	Optional[Any]				):
							requires_backends(cls						,  ['''detectron2''']				)
