



'''simple docstring'''
import cva
import numpy as np


def 	lowercase_						( lowerCAmelCase__						:	np.ndarray      ,				lowerCAmelCase__						:	int      ,				lowerCAmelCase__						:	int      ,				lowerCAmelCase__						:	int			):

			"""simple docstring"""





			try:
						return int(image[x_coordinate][y_coordinate] >= center			)
			except (IndexError, TypeError):
						return 0


def 	lowercase_						( lowerCAmelCase__						:	np.ndarray      ,				lowerCAmelCase__						:	int      ,				lowerCAmelCase__						:	int			):

			"""simple docstring"""





			__UpperCAmelCase :   Union[str, Any]    					=  image[x_coordinate][y_coordinate]
			__UpperCAmelCase :   List[str]    					=  [1, 2, 4, 8, 16, 32, 64, 128]

			# skip get_neighbors_pixel if center is null
			if center is None:
						return 0

			# Starting from the top right, assigning value to pixels clockwise
			__UpperCAmelCase :   Optional[int]    					=  [
			    get_neighbors_pixel(UpperCamelCase_      ,				x_coordinate - 1      ,				y_coordinate + 1      ,				UpperCamelCase_			),
			    get_neighbors_pixel(UpperCamelCase_      ,				UpperCamelCase_      ,				y_coordinate + 1      ,				UpperCamelCase_			),
			    get_neighbors_pixel(UpperCamelCase_      ,				x_coordinate - 1      ,				UpperCamelCase_      ,				UpperCamelCase_			),
			    get_neighbors_pixel(UpperCamelCase_      ,				x_coordinate + 1      ,				y_coordinate + 1      ,				UpperCamelCase_			),
			    get_neighbors_pixel(UpperCamelCase_      ,				x_coordinate + 1      ,				UpperCamelCase_      ,				UpperCamelCase_			),
			    get_neighbors_pixel(UpperCamelCase_      ,				x_coordinate + 1      ,				y_coordinate - 1      ,				UpperCamelCase_			),
			    get_neighbors_pixel(UpperCamelCase_      ,				UpperCamelCase_      ,				y_coordinate - 1      ,				UpperCamelCase_			),
			    get_neighbors_pixel(UpperCamelCase_      ,				x_coordinate - 1      ,				y_coordinate - 1      ,				UpperCamelCase_			),
			]

			# Converting the binary value to decimal.
			return sum(
			    binary_value * power for binary_value, power in zip(UpperCamelCase_      ,				UpperCamelCase_			)			)


if __name__ == "__main__":
					# Reading the image and converting it to grayscale.
					_UpperCamelCase									=      cva.imread(
					    '''digital_image_processing/image_data/lena.jpg''', cva.IMREAD_GRAYSCALE
					)

					# Create a numpy array as the same height and width of read image
					_UpperCamelCase									=      np.zeros((image.shape[0], image.shape[1]))

					# Iterating through the image and calculating the
					# local binary pattern value for each pixel.
					for i in range(0, image.shape[0]):
										for j in range(0, image.shape[1]):
															_UpperCamelCase									=      local_binary_value(image, i, j)

					cva.imshow('''local binary pattern''', lbp_image)
					cva.waitKey(0)
					cva.destroyAllWindows()












"""simple docstring"""


def 					a			(  UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int		)	->		int:
 return len_board * len_board_column * row + column




def 					a			(  UpperCamelCase_				:					list[list[str]]  ,						UpperCamelCase_				:					str  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					set[int]  ,						)	->		bool:

 if board[row][column] != word[word_index]:
  return False

 if word_index == len(UpperCamelCase_		) - 1:
  return True

 __A						:							List[str]      =						[(0, 1), (0, -1), (-1, 0), (1, 0)]
 __A						:							Any      =						len(UpperCamelCase_		)
 __A						:							Union[str, Any]      =						len(board[0]		)
 for direction in traverts_directions:
  __A						:							Any      =						row + direction[0]
  __A						:							List[Any]      =						column + direction[1]
  if not (0 <= next_i < len_board and 0 <= next_j < len_board_column):
   continue

  __A						:							Any      =						get_point_key(UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_		)
  if key in visited_points_set:
   continue

  visited_points_set.add(UpperCamelCase_		)
  if exits_word(UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						word_index + 1  ,						UpperCamelCase_		):
   return True

  visited_points_set.remove(UpperCamelCase_		)

 return False




def 					a			(  UpperCamelCase_				:					list[list[str]]  ,						UpperCamelCase_				:					str		)	->		bool:
 __A						:							Optional[Any]      =						(
     'The board should be a non empty matrix of single chars strings.'
 )

 __A						:							Dict      =						len(UpperCamelCase_		)
 if not isinstance(UpperCamelCase_  ,						UpperCamelCase_		) or len(UpperCamelCase_		) == 0:
  raise ValueError(UpperCamelCase_		)

 for row in board:
  if not isinstance(UpperCamelCase_  ,						UpperCamelCase_		) or len(UpperCamelCase_		) == 0:
   raise ValueError(UpperCamelCase_		)

  for item in row:
   if not isinstance(UpperCamelCase_  ,						UpperCamelCase_		) or len(UpperCamelCase_		) != 1:
    raise ValueError(UpperCamelCase_		)

    # Validate word
 if not isinstance(UpperCamelCase_  ,						UpperCamelCase_		) or len(UpperCamelCase_		) == 0:
  raise ValueError(
      'The word parameter should be a string of length greater than 0.'		)

 __A						:							List[Any]      =						len(board[0]		)
 for i in range(UpperCamelCase_		):
  for j in range(UpperCamelCase_		):
   if exits_word(
       UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						0  ,						{get_point_key(UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_		)}		):
    return True

 return False


if __name__ == "__main__":
   import doctest

   doctest.testmod()





