


'''simple docstring'''



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





class 							__UpperCamelCase       :




	def __init__(     self		,       __a		,       __a							):

						'''simple docstring'''





						__a    : Optional[int]      					=						0
						# max greyscale value for #FFFFFF
						__a    : Tuple      					=						int(self.get_greyscale(255		,       255		,       255							)							)

						if not self.min_threshold < threshold < self.max_threshold:
											__a    : List[Any]      					=						f"""Factor value should be from 0 to {self.max_threshold}"""
											raise ValueError(__a							)

						__a    : Optional[int]      					=						input_img
						__a    : str      					=						threshold
						__a    : Any      					=						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
						__a    : Dict      					=						[
						    [0 for _ in range(self.height + 4							)] for __ in range(self.width + 1							)
						]
						__a    : str      					=						np.ones((self.width, self.height, 3)		,       np.uinta							) * 255




	@classmethod
	def    __UpperCAmelCase							(     cls		,       __a		,       __a		,       __a							):

						'''simple docstring'''





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





	def    __UpperCAmelCase							(     self							):

						'''simple docstring'''





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







'''simple docstring'''



def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     int = 30     ):
					__a    : Dict      					=						exponent + 2
					__a    : List[Any]      					=						(1 + 5**0.5) / 2
					__a    : Any      					=						(phi**fibonacci_index - (phi - 1) ** fibonacci_index) / 5**0.5

					return int(_SCREAMING_SNAKE_CASE     )


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



