import cva
import numpy as np






def  UpperCAmelCase__(    lowerCamelCase_				,						lowerCamelCase_				,						lowerCamelCase_				,						lowerCamelCase_	):



			"""simple docstring"""





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






def  UpperCAmelCase__(    lowerCamelCase_				,						lowerCamelCase_				,						lowerCamelCase_	):



			"""simple docstring"""





			_snake_case														=   image[x_coordinate][y_coordinate]
			_snake_case														=   [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
			_snake_case														=   [
			    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.
			_SCREAMING_SNAKE_CASE:    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
			_SCREAMING_SNAKE_CASE:    Union[str, Any]     						=							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]):
									_SCREAMING_SNAKE_CASE:    Any     						=							local_binary_value(image, i, j)

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


from __future__ import annotations

# Define the Gravitational Constant G and the function
_SCREAMING_SNAKE_CASE:    int     						=							6.6_743e-11  # unit of G : m^3 * kg^-1 * s^-2






def  UpperCAmelCase__(    lowerCamelCase_				,						lowerCamelCase_				,						lowerCamelCase_				,						lowerCamelCase_	):



			"""simple docstring"""





			_snake_case														=   mass_a * mass_a

			if (force, mass_a, mass_a, distance).count(0	) != 1:
						raise ValueError("One and only one argument must be 0"	)
			if force < 0:
						raise ValueError("Gravitational force can not be negative"	)
			if distance < 0:
						raise ValueError("Distance can not be negative"	)
			if mass_a < 0 or mass_a < 0:
						raise ValueError("Mass can not be negative"	)
			if force == 0:
						_snake_case														=   GRAVITATIONAL_CONSTANT * product_of_mass / (distance**2)
						return {"force": force}
			elif mass_a == 0:
						_snake_case														=   (force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
						return {"mass_1": mass_a}
			elif mass_a == 0:
						_snake_case														=   (force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
						return {"mass_2": mass_a}
			elif distance == 0:
						_snake_case														=   (GRAVITATIONAL_CONSTANT * product_of_mass / (force)) ** 0.5
						return {"distance": distance}
			raise ValueError("One and only one argument must be 0"	)


# Run doctest
if __name__ == "__main__":
			import doctest

			doctest.testmod()

