





'''simple docstring'''






import cva
import numpy as np





def      lowercase  (  lowerCAmelCase :						List[str]   , lowerCAmelCase :						Any   , lowerCAmelCase :						List[Any]   , lowerCAmelCase :						int):



				"""simple docstring"""


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





def      lowercase  (  lowerCAmelCase :						Optional[Any]   , lowerCAmelCase :						Union[str, Any]   , lowerCAmelCase :						Optional[Any]):



				"""simple docstring"""


				_A :				Any				=  image[x_coordinate][y_coordinate]
				_A :				Union[str, Any]				=  [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
				_A :				str				=  [
				    get_neighbors_pixel(_lowercase   , x_coordinate - 1   , y_coordinate + 1   , _lowercase),
				    get_neighbors_pixel(_lowercase   , _lowercase   , y_coordinate + 1   , _lowercase),
				    get_neighbors_pixel(_lowercase   , x_coordinate - 1   , _lowercase   , _lowercase),
				    get_neighbors_pixel(_lowercase   , x_coordinate + 1   , y_coordinate + 1   , _lowercase),
				    get_neighbors_pixel(_lowercase   , x_coordinate + 1   , _lowercase   , _lowercase),
				    get_neighbors_pixel(_lowercase   , x_coordinate + 1   , y_coordinate - 1   , _lowercase),
				    get_neighbors_pixel(_lowercase   , _lowercase   , y_coordinate - 1   , _lowercase),
				    get_neighbors_pixel(_lowercase   , x_coordinate - 1   , y_coordinate - 1   , _lowercase),
				]

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


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

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

"""simple docstring"""




from collections.abc import Callable

UpperCAmelCase       :    Optional[int]									=			Callable[[float], float]  # type alias for a real -> real function



def 				__a       (			_lowercase							, _lowercase							, _lowercase							, ):







					"""simple docstring"""





					lowerCamelCase__		:   Tuple  				=					float(_lowercase						)
					while True:
										try:
															lowerCamelCase__		:   str  				=					prev_guess - function(_lowercase						) / derivative(_lowercase						)
										except ZeroDivisionError:
															raise ZeroDivisionError('''Could not find root'''						) from None
										if abs(prev_guess - next_guess						) < 10**-5:
															return next_guess
										lowerCamelCase__		:   List[str]  				=					next_guess



def 				__a       (			_lowercase						):







					"""simple docstring"""





					return (x**3) - (2 * x) - 5



def 				__a       (			_lowercase						):







					"""simple docstring"""





					return 3 * (x**2) - 2


if __name__ == "__main__":
					print(newton(f, fa, 3))






