

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


def       a__    (  _SCREAMING_SNAKE_CASE					:    np.ndarray     ,							_SCREAMING_SNAKE_CASE					:    int     ,							_SCREAMING_SNAKE_CASE					:    int     ,							_SCREAMING_SNAKE_CASE					:    int							)			-> int:


	"""simple docstring"""





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


def       a__    (  _SCREAMING_SNAKE_CASE					:    np.ndarray     ,							_SCREAMING_SNAKE_CASE					:    int     ,							_SCREAMING_SNAKE_CASE					:    int							)			-> int:


	"""simple docstring"""





	UpperCAmelCase_			:	Tuple      =   image[x_coordinate][y_coordinate]
	UpperCAmelCase_			:	int      =   [1, 2, 4, 8, 16, 32, 64, 1_28]

	# 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_			:	List[Any]      =   [
	    get_neighbors_pixel(_SCREAMING_SNAKE_CASE     ,							x_coordinate - 1     ,							y_coordinate + 1     ,							_SCREAMING_SNAKE_CASE							),
	    get_neighbors_pixel(_SCREAMING_SNAKE_CASE     ,							_SCREAMING_SNAKE_CASE     ,							y_coordinate + 1     ,							_SCREAMING_SNAKE_CASE							),
	    get_neighbors_pixel(_SCREAMING_SNAKE_CASE     ,							x_coordinate - 1     ,							_SCREAMING_SNAKE_CASE     ,							_SCREAMING_SNAKE_CASE							),
	    get_neighbors_pixel(_SCREAMING_SNAKE_CASE     ,							x_coordinate + 1     ,							y_coordinate + 1     ,							_SCREAMING_SNAKE_CASE							),
	    get_neighbors_pixel(_SCREAMING_SNAKE_CASE     ,							x_coordinate + 1     ,							_SCREAMING_SNAKE_CASE     ,							_SCREAMING_SNAKE_CASE							),
	    get_neighbors_pixel(_SCREAMING_SNAKE_CASE     ,							x_coordinate + 1     ,							y_coordinate - 1     ,							_SCREAMING_SNAKE_CASE							),
	    get_neighbors_pixel(_SCREAMING_SNAKE_CASE     ,							_SCREAMING_SNAKE_CASE     ,							y_coordinate - 1     ,							_SCREAMING_SNAKE_CASE							),
	    get_neighbors_pixel(_SCREAMING_SNAKE_CASE     ,							x_coordinate - 1     ,							y_coordinate - 1     ,							_SCREAMING_SNAKE_CASE							),
	]

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


if __name__ == "__main__":
					# Reading the image and converting it to grayscale.
					_lowerCamelCase	 =			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
					_lowerCamelCase	 =			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]):
															_lowerCamelCase	 =			local_binary_value(image, i, j)

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







'''simple docstring'''
from transformers import PretrainedConfig
class  _snake_case						(__SCREAMING_SNAKE_CASE):
			__A   :     Optional[Any]          ="custom"






			def __init__(   self       ,_snake_case=1       ,**_snake_case			):
				UpperCAmelCase_			:	Optional[int]      =   attribute
				super().__init__(**_snake_case			)




class  _snake_case						(__SCREAMING_SNAKE_CASE):
			__A   :     Dict          ="custom"






			def __init__(   self       ,_snake_case=1       ,**_snake_case			):
				UpperCAmelCase_			:	Optional[int]      =   attribute




