




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

class 		lowercase_       :




					def __init__(   self:		str,     _lowercase:		List[str],     _lowercase:		int):


									'''simple docstring'''


									__lowerCAmelCase					=  0
									# max greyscale value for #FFFFFF
									__lowerCAmelCase					=  int(self.get_greyscale(255,     255,     255))

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

									__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) * 255




					@classmethod
					def     _lowercase						(   cls:		List[Any],     _lowercase:		int,     _lowercase:		int,     _lowercase:		int):


									'''simple docstring'''


									return 0.114 * blue + 0.587 * green + 0.2_126 * red







					def     _lowercase						(   self:		Union[str, Any]):


									'''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					=  (255, 255, 255)
																					__lowerCAmelCase					=  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
	__A						:		Optional[Any]          =						[
	    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"""


def   a__			(					__lowercase )						->						bool:
				# must be
				_A       	=      [list(__lowercase ) for row in matrix]
				if matrix and isinstance(__lowercase  ,      __lowercase ):
								if isinstance(matrix[0]  ,      __lowercase ):
												_A       	=      0
												for row in matrix:
																if prev_len == 0:
																				_A       	=      len(__lowercase )
																				_A       	=      True
																else:
																				_A       	=      prev_len == len(__lowercase )
								else:
												_A       	=      True
				else:
								_A       	=      False

				return result






def   a__			(					__lowercase )						->						None:
				if check_matrix(__lowercase ) and len(__lowercase ) > 0:
								_A       	=      [list(__lowercase ) for row in a]
								_A       	=      len(__lowercase )
								if isinstance(a[0]  ,      __lowercase ):
												_A       	=      len(a[0] )
								else:
												for dat in a:
																print(__lowercase )
												return

								# horizotal printing increasing
								for i in range(0  ,      __lowercase ):
												print(a[0][i] )
								# vertical printing down
								for i in range(1  ,      __lowercase ):
												print(a[i][mat_col - 1] )
								# horizotal printing decreasing
								if mat_row > 1:
												for i in range(mat_col - 2  ,      -1  ,      -1 ):
																print(a[mat_row - 1][i] )
        # vertical printing up
								for i in range(mat_row - 2  ,      0  ,      -1 ):
												print(a[i][0] )
								_A       	=      [row[1 : mat_col - 1] for row in a[1 : mat_row - 1]]
								if len(__lowercase ) > 0:
												spiral_print_clockwise(__lowercase )
								else:
												return
				else:
								print("Not a valid matrix" )
								return






def   a__			(					__lowercase )						->						list[int]:
				if matrix:
								return list(matrix.pop(0 ) ) + spiral_traversal(list(zip(*__lowercase ) )[::-1] )
				else:
								return []


# driver code
if __name__ == "__main__":
		import doctest

		doctest.testmod()

		a_											=     [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]]
		spiral_print_clockwise(a)