
"""simple docstring"""


def      lowerCAmelCase_     (	snake_case_	:    float    )     ->float:
			return -num if num < 0 else num






def      lowerCAmelCase_     (	snake_case_	:    list[int]    )     ->int:
			if len(snake_case_    ) == 0:
						raise ValueError('abs_min() arg is an empty sequence'    )
			lowerCamelCase__			:  Dict  =x[0]
			for i in x:
						if abs_val(snake_case_    ) < abs_val(snake_case_    ):
									lowerCamelCase__			:  Optional[int]  =i
			return j






def      lowerCAmelCase_     (	snake_case_	:    list[int]    )     ->int:
			if len(snake_case_    ) == 0:
						raise ValueError('abs_max() arg is an empty sequence'    )
			lowerCamelCase__			:  int  =x[0]
			for i in x:
						if abs(snake_case_    ) > abs(snake_case_    ):
									lowerCamelCase__			:  Dict  =i
			return j






def      lowerCAmelCase_     (	snake_case_	:    list[int]    )     ->int:
			if len(snake_case_    ) == 0:
						raise ValueError('abs_max_sort() arg is an empty sequence'    )
			return sorted(snake_case_							,					key=snake_case_    )[-1]






def      lowerCAmelCase_     (	)     ->Dict:
			assert abs_val(0    ) == 0
			assert abs_val(3_4    ) == 3_4
			assert abs_val(-1_0_0_0_0_0_0_0_0_0_0_0    ) == 1_0_0_0_0_0_0_0_0_0_0_0

			lowerCamelCase__			:  Dict  =[-3, -1, 2, -1_1]
			assert abs_max(snake_case_    ) == -1_1
			assert abs_max_sort(snake_case_    ) == -1_1
			assert abs_min(snake_case_    ) == -1


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							test_abs_val()
							print(abs_val(-34))  # --> 34

"""simple docstring"""


import cva
import numpy as np






def      lowerCAmelCase_     (	snake_case_	:    np.ndarray							,					snake_case_	:    int							,					snake_case_	:    int							,					snake_case_	:    int    )     ->int:

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






def      lowerCAmelCase_     (	snake_case_	:    np.ndarray							,					snake_case_	:    int							,					snake_case_	:    int    )     ->int:
			lowerCamelCase__			:  Optional[int]  =image[x_coordinate][y_coordinate]
			lowerCamelCase__			:  int  =[1, 2, 4, 8, 1_6, 3_2, 6_4, 1_2_8]

			# 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__			:  int  =[
			    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.
							lowerCAmelCase			=		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
							lowerCAmelCase			=		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]):
																					lowerCAmelCase			=		local_binary_value(image, i, j)

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