

import cva
import numpy as np







def 	lowerCamelCase__			(   __A						:np.ndarray  ,__A						:int  ,__A						:int  ,__A						:int		):


       """simple docstring"""




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







def 	lowerCamelCase__			(   __A						:np.ndarray  ,__A						:int  ,__A						:int		):


       """simple docstring"""




       __snake_case					  =       image[x_coordinate][y_coordinate]
       __snake_case					  =       [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
       __snake_case					  =       [
           get_neighbors_pixel(__A  ,x_coordinate - 1  ,y_coordinate + 1  ,__A		),
           get_neighbors_pixel(__A  ,__A  ,y_coordinate + 1  ,__A		),
           get_neighbors_pixel(__A  ,x_coordinate - 1  ,__A  ,__A		),
           get_neighbors_pixel(__A  ,x_coordinate + 1  ,y_coordinate + 1  ,__A		),
           get_neighbors_pixel(__A  ,x_coordinate + 1  ,__A  ,__A		),
           get_neighbors_pixel(__A  ,x_coordinate + 1  ,y_coordinate - 1  ,__A		),
           get_neighbors_pixel(__A  ,__A  ,y_coordinate - 1  ,__A		),
           get_neighbors_pixel(__A  ,x_coordinate - 1  ,y_coordinate - 1  ,__A		),
       ]

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


if __name__ == "__main__":
    # Reading the image and converting it to grayscale.
    UpperCamelCase__		   =    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__		   =    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__		   =    local_binary_value(image, i, j)

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




import math







def 	lowerCamelCase__			(   __A						:int		):


       """simple docstring"""




       if 1 < number < 4:
              # 2 and 3 are primes
              return True
       elif number < 2 or number % 2 == 0 or number % 3 == 0:
              # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
              return False

       # All primes number are in format of 6k +/- 1
       for i in range(5  ,int(math.sqrt(__A		) + 1		)  ,6		):
              if number % i == 0 or number % (i + 2) == 0:
                     return False
       return True







def 	lowerCamelCase__			(   __A						:int = 1_0_0_0  ,__A						:int = 1_0_0_0		):


       """simple docstring"""




       __snake_case					  =       [0, 0, 0]  # length, a, b
       for a in range((a_limit * -1) + 1  ,__A		):
              for b in range(2  ,__A		):
                     if is_prime(__A		):
                            __snake_case					  =       0
                            __snake_case					  =       0
                            while is_prime((n**2) + (a * n) + b		):
                                   count += 1
                                   n += 1
                            if count > longest[0]:
                                   __snake_case					  =       [count, a, b]
       __snake_case					  =       longest[1] * longest[2]
       return ans


if __name__ == "__main__":
    print(solution(1000, 1000))

