






from __future__ import annotations


def 	_UpperCAmelCase       (   snake_case			,		snake_case			,		snake_case    ):





					"""simple docstring"""

					assert (
					    c % greatest_common_divisor(SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__    ) == 0
					)  # greatest_common_divisor(a,b) function implemented below
					(_lowerCAmelCase)      			=					extended_gcd(SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__    )  # extended_gcd(a,b) function implemented below
					_lowerCAmelCase      			=					c / d
					return (r * x, r * y)


def 	_UpperCAmelCase       (   snake_case			,		snake_case			,		snake_case			,		snake_case = 2    ):





					"""simple docstring"""

					(_lowerCAmelCase)      			=					diophantine(SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__    )  # Initial value
					_lowerCAmelCase      			=					greatest_common_divisor(SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__    )
					_lowerCAmelCase      			=					a // d
					_lowerCAmelCase      			=					b // d

					for i in range(SCREAMING_SNAKE_CASE__    ):
										_lowerCAmelCase      			=					xa + i * q
										_lowerCAmelCase      			=					ya - i * p
										print(SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__    )


def 	_UpperCAmelCase       (   snake_case			,		snake_case    ):





					"""simple docstring"""

					if a < b:
										_lowerCAmelCase      			=					b, a

					while a % b != 0:
										_lowerCAmelCase      			=					b, a % b

					return b


def 	_UpperCAmelCase       (   snake_case			,		snake_case    ):





					"""simple docstring"""

					assert a >= 0 and b >= 0

					if b == 0:
										_lowerCAmelCase      			=					a, 1, 0
					else:
										(_lowerCAmelCase)      			=					extended_gcd(SCREAMING_SNAKE_CASE__			,		a % b    )
										_lowerCAmelCase      			=					q
										_lowerCAmelCase      			=					p - q * (a // b)

					assert a % d == 0 and b % d == 0
					assert d == a * x + b * y

					return (d, x, y)


if __name__ == "__main__":
	from doctest import testmod

	testmod(name="""diophantine""", verbose=True)
	testmod(name="""diophantine_all_soln""", verbose=True)
	testmod(name="""extended_gcd""", verbose=True)
	testmod(name="""greatest_common_divisor""", verbose=True)








import cva
import numpy as np


def 	_UpperCAmelCase       (   snake_case			,		snake_case			,		snake_case			,		snake_case    ):





					"""simple docstring"""

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


def 	_UpperCAmelCase       (   snake_case			,		snake_case			,		snake_case    ):





					"""simple docstring"""

					_lowerCAmelCase      			=					image[x_coordinate][y_coordinate]
					_lowerCAmelCase      			=					[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
					_lowerCAmelCase      			=					[
					    get_neighbors_pixel(snake_case			,		x_coordinate - 1			,		y_coordinate + 1			,		snake_case    ),
					    get_neighbors_pixel(snake_case			,		snake_case			,		y_coordinate + 1			,		snake_case    ),
					    get_neighbors_pixel(snake_case			,		x_coordinate - 1			,		snake_case			,		snake_case    ),
					    get_neighbors_pixel(snake_case			,		x_coordinate + 1			,		y_coordinate + 1			,		snake_case    ),
					    get_neighbors_pixel(snake_case			,		x_coordinate + 1			,		snake_case			,		snake_case    ),
					    get_neighbors_pixel(snake_case			,		x_coordinate + 1			,		y_coordinate - 1			,		snake_case    ),
					    get_neighbors_pixel(snake_case			,		snake_case			,		y_coordinate - 1			,		snake_case    ),
					    get_neighbors_pixel(snake_case			,		x_coordinate - 1			,		y_coordinate - 1			,		snake_case    ),
					]

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


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()



