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




def     __lowerCamelCase  (		UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__      ):


	"""simple docstring"""






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




def     __lowerCamelCase  (		UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__      ):


	"""simple docstring"""






	_UpperCAmelCase =						image[x_coordinate][y_coordinate]
	_UpperCAmelCase =						[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
	_UpperCAmelCase =						[
	    get_neighbors_pixel(UpperCamelCase__				,     x_coordinate - 1				,     y_coordinate + 1				,     UpperCamelCase__      ),
	    get_neighbors_pixel(UpperCamelCase__				,     UpperCamelCase__				,     y_coordinate + 1				,     UpperCamelCase__      ),
	    get_neighbors_pixel(UpperCamelCase__				,     x_coordinate - 1				,     UpperCamelCase__				,     UpperCamelCase__      ),
	    get_neighbors_pixel(UpperCamelCase__				,     x_coordinate + 1				,     y_coordinate + 1				,     UpperCamelCase__      ),
	    get_neighbors_pixel(UpperCamelCase__				,     x_coordinate + 1				,     UpperCamelCase__				,     UpperCamelCase__      ),
	    get_neighbors_pixel(UpperCamelCase__				,     x_coordinate + 1				,     y_coordinate - 1				,     UpperCamelCase__      ),
	    get_neighbors_pixel(UpperCamelCase__				,     UpperCamelCase__				,     y_coordinate - 1				,     UpperCamelCase__      ),
	    get_neighbors_pixel(UpperCamelCase__				,     x_coordinate - 1				,     y_coordinate - 1				,     UpperCamelCase__      ),
	]

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


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

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






"""simple docstring"""
def     __lowerCamelCase  (		UpperCamelCase__ = 400_0000      ):


	"""simple docstring"""






	_UpperCAmelCase =						1
	_UpperCAmelCase =						2
	_UpperCAmelCase =						0
	while j <= n:
		if j % 2 == 0:
			total += j
		_UpperCAmelCase ,      _UpperCAmelCase =						j, i + j

	return total


if __name__ == "__main__":
			print(f'''{solution() = }''')




