
"""simple docstring"""

import cva
import numpy as np
def 		UpperCAmelCase					(		a_,						a_,						a_,						a_			):





		'''simple docstring'''


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





		'''simple docstring'''


		lowerCamelCase     :			Dict		=    image[x_coordinate][y_coordinate]
		lowerCamelCase     :			Optional[int]		=    [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
		lowerCamelCase     :			List[Any]		=    [
		    get_neighbors_pixel(a_,						x_coordinate - 1,						y_coordinate + 1,						a_			),
		    get_neighbors_pixel(a_,						a_,						y_coordinate + 1,						a_			),
		    get_neighbors_pixel(a_,						x_coordinate - 1,						a_,						a_			),
		    get_neighbors_pixel(a_,						x_coordinate + 1,						y_coordinate + 1,						a_			),
		    get_neighbors_pixel(a_,						x_coordinate + 1,						a_,						a_			),
		    get_neighbors_pixel(a_,						x_coordinate + 1,						y_coordinate - 1,						a_			),
		    get_neighbors_pixel(a_,						a_,						y_coordinate - 1,						a_			),
		    get_neighbors_pixel(a_,						x_coordinate - 1,						y_coordinate - 1,						a_			),
		]

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


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

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








"""simple docstring"""

from __future__ import annotations
def 		UpperCAmelCase					(		a_			):





		'''simple docstring'''


		for r in range(1,						a_			):
				lowerCamelCase     :			Tuple		=    []
				for x in range(n - 1			):
						lowerCamelCase     :			List[str]		=    pow(a_,						a_,						a_			)
						if val in li:
								break
						li.append(a_			)
				else:
						return r
		return None


if __name__ == "__main__":
					_A            = int(input('Enter a prime number q: '))
					_A            = find_primitive(q)
					if a is None:
										print(F"""Cannot find the primitive for the value: {a!r}""")
					else:
										_A            = int(input('Enter private key of A: '))
										_A            = pow(a, a_private, q)
										_A            = int(input('Enter private key of B: '))
										_A            = pow(a, b_private, q)

										_A            = pow(b_public, a_private, q)
										_A            = pow(a_public, b_private, q)

										print('The key value generated by A is: ', a_secret)
										print('The key value generated by B is: ', b_secret)






