





"""simple docstring"""





import cva
import numpy as np




def 		lowerCAmelCase_      (  lowercase_       :							np.ndarray			,				lowercase_       :							int			,				lowercase_       :							int			,				lowercase_       :							int		):

 '''simple docstring'''






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




def 		lowerCAmelCase_      (  lowercase_       :							np.ndarray			,				lowercase_       :							int			,				lowercase_       :							int		):

 '''simple docstring'''






 __SCREAMING_SNAKE_CASE			:      Optional[Any] 							=	image[x_coordinate][y_coordinate]
 __SCREAMING_SNAKE_CASE			:      List[str] 							=	[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
 __SCREAMING_SNAKE_CASE			:      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.
    _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()








"""simple docstring"""





def 		lowerCAmelCase_     (  lowercase_       :							int = 30		):

 '''simple docstring'''






 __SCREAMING_SNAKE_CASE			:      str 							=	exponent + 2
 __SCREAMING_SNAKE_CASE			:      Optional[Any] 							=	(1 + 5**0.5) / 2
 __SCREAMING_SNAKE_CASE			:      Optional[int] 							=	(phi**fibonacci_index - (phi - 1) ** fibonacci_index) / 5**0.5

 return int(lowercase_		)


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

