





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






class  __A   :

			'''simple docstring'''







			def __init__(   self	,  __lowerCAmelCase	,  __lowerCAmelCase							):



				'''simple docstring'''







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

				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_5_5





			@classmethod
			def 		__lowerCamelCase    (   cls	,  __lowerCAmelCase	,  __lowerCAmelCase	,  __lowerCAmelCase							):



				'''simple docstring'''







				return 0.114 * blue + 0.587 * green + 0.2126 * red





			def 		__lowerCamelCase    (   self							):



				'''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_5_5, 2_5_5, 2_5_5)
							lowerCamelCase__        =		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()










import os





def lowerCAmelCase__()    ->				Optional[Any]:







	'''simple docstring'''







	lowerCamelCase__        =		os.path.dirname(os.path.realpath(__snake_case							)							)
	lowerCamelCase__        =		os.path.join(__snake_case	,'''triangle.txt'''							)

	with open(__snake_case							) as f:
		lowerCamelCase__        =		f.readlines()

	lowerCamelCase__        =		[[int(__snake_case							) for y in x.rstrip('''\r\n'''							).split(''' '''							)] for x in triangle]

	for i in range(1	,len(__snake_case							)							):
		for j in range(len(a[i]							)							):
			lowerCamelCase__        =		a[i - 1][j] if j != len(a[i - 1]							) else 0
			lowerCamelCase__        =		a[i - 1][j - 1] if j > 0 else 0
			a[i][j] += max(__snake_case	,__snake_case							)
	return max(a[-1]							)


if __name__ == "__main__":
			print(solution())



