
"""simple docstring"""
import cva
import numpy as np


def      lowerCamelCase_     (						lowerCamelCase_						,					lowerCamelCase_						,					lowerCamelCase_						,					lowerCamelCase_			)  ->      int:


					'''simple docstring'''

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


def      lowerCamelCase_     (						lowerCamelCase_						,					lowerCamelCase_						,					lowerCamelCase_			)  ->      int:


					'''simple docstring'''
					__a:    List[str]		     =       image[x_coordinate][y_coordinate]
					__a:    Union[str, Any]		     =       [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
					__a:    int		     =       [
					    get_neighbors_pixel(lowerCamelCase_						,					x_coordinate - 1						,					y_coordinate + 1						,					lowerCamelCase_			),
					    get_neighbors_pixel(lowerCamelCase_						,					lowerCamelCase_						,					y_coordinate + 1						,					lowerCamelCase_			),
					    get_neighbors_pixel(lowerCamelCase_						,					x_coordinate - 1						,					lowerCamelCase_						,					lowerCamelCase_			),
					    get_neighbors_pixel(lowerCamelCase_						,					x_coordinate + 1						,					y_coordinate + 1						,					lowerCamelCase_			),
					    get_neighbors_pixel(lowerCamelCase_						,					x_coordinate + 1						,					lowerCamelCase_						,					lowerCamelCase_			),
					    get_neighbors_pixel(lowerCamelCase_						,					x_coordinate + 1						,					y_coordinate - 1						,					lowerCamelCase_			),
					    get_neighbors_pixel(lowerCamelCase_						,					lowerCamelCase_						,					y_coordinate - 1						,					lowerCamelCase_			),
					    get_neighbors_pixel(lowerCamelCase_						,					x_coordinate - 1						,					y_coordinate - 1						,					lowerCamelCase_			),
					]

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


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

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


"""simple docstring"""
from transformers import ProcessorMixin




class  _snake_case	(    _lowercase							):
							SCREAMING_SNAKE_CASE		  =    '''AutoFeatureExtractor'''
							SCREAMING_SNAKE_CASE		  =    '''AutoTokenizer'''
