

'''simple docstring'''

def      __magic_name__							(			A				)      ->		bool:
	snake_case							=					[list(A				) for row in matrix]
	if matrix and isinstance(A       , A				):
		if isinstance(matrix[0]       , A				):
			snake_case							=					0
			for row in matrix:
				if prev_len == 0:
					snake_case							=					len(A				)
					snake_case							=					True
				else:
					snake_case							=					prev_len == len(A				)
		else:
			snake_case							=					True
	else:
		snake_case							=					False

	return result

def      __magic_name__							(			A				)      ->		None:




	if check_matrix(A				) and len(A				) > 0:
		snake_case							=					[list(A				) for row in a]
		snake_case							=					len(A				)
		if isinstance(a[0]       , A				):
			snake_case							=					len(a[0]				)
		else:
			for dat in a:
				print(A				)
			return

		# horizotal printing increasing
		for i in range(0       , A				):
			print(a[0][i]				)
		# vertical printing down
		for i in range(1       , A				):
			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]				)
		snake_case							=					[row[1 : mat_col - 1] for row in a[1 : mat_row - 1]]
		if len(A				) > 0:
			spiral_print_clockwise(A				)
		else:
			return
	else:
		print('Not a valid matrix'				)
		return

def      __magic_name__							(			A				)      ->		list[int]:




	if matrix:
		return list(matrix.pop(0				)				) + spiral_traversal(list(zip(*A				)				)[::-1]				)
	else:
		return []


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

						doctest.testmod()

						lowerCAmelCase_     =      [[1, 2, 3, 4], [5, 6, 7, 8], [9, 1_0, 1_1, 1_2]]
						spiral_print_clockwise(a)











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






class       A      :
     """simple docstring"""

     def __init__(     self	: int						,	A__	: List[Any]						,	A__	: int      )					->							List[str]:
           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(A__      )

           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 			__snake_case (     cls	: int						,	A__	: int						,	A__	: int						,	A__	: int      )					->							float:
           return 0.114 * blue + 0.587 * green + 0.2126 * red




     def 			__snake_case (     self	: List[Any]      )					->							None:
           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
      __SCREAMING_SNAKE_CASE     : 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()