






"""simple docstring"""


import cva
import numpy as np




def 					a			(  UpperCamelCase_				:					np.ndarray  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int		)	->		int:

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




def 					a			(  UpperCamelCase_				:					np.ndarray  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int		)	->		int:
 __A						:							Union[str, Any]      =						image[x_coordinate][y_coordinate]
 __A						:							List[str]      =						[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
 __A						:							Optional[int]      =						[
     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.
   _UpperCamelCase :    Dict      =			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 :    Any      =			local_binary_value(image, i, j)

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













"""simple docstring"""


def 					a			(  UpperCamelCase_				:					float		)	->		int:
 return int(UpperCamelCase_		) if x - int(UpperCamelCase_		) <= 0 else int(UpperCamelCase_		) + 1


if __name__ == "__main__":
   import doctest

   doctest.testmod()





