




import cva
import numpy as np





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__   )     ->     int:







				'''simple docstring'''


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





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__   )     ->     int:







				'''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(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.
	__A						:		List[Any]          =						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						:		str          =						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						:		Optional[int]          =						local_binary_value(image, i, j)

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







"""simple docstring"""





def       __a	(						__lowerCamelCase    ):
   for i, _ in enumerate(__lowerCamelCase    ):
      if (i % 2 == 1) == (nums[i - 1] > nums[i]):
         UpperCAmelCase_	,  UpperCAmelCase_   :   List[Any]     	=       nums[i], nums[i - 1]

   return nums


if __name__ == "__main__":
    print('Enter the array elements:')
    _a									=				list(map(int, input().split()))
    print('The unsorted array is:')
    print(array)
    print('Array after Wiggle sort:')
    print(wiggle_sort(array))


