



'''simple docstring'''


import cva
import numpy as np






def 			UpperCAmelCase_							(		lowercase__							,						lowercase__							,						lowercase__							,						lowercase__							):


     '''simple docstring'''







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






def 			UpperCAmelCase_							(		lowercase__							,						lowercase__							,						lowercase__							):


     '''simple docstring'''







     a_									=image[x_coordinate][y_coordinate]
     a_									=[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_									=[
         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.
  lowercase											=      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
  lowercase											=      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]):
      lowercase											=      local_binary_value(image, i, j)

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







'''simple docstring'''


from math import floor, sqrt






def 			UpperCAmelCase_							(		lowercase__							):


     '''simple docstring'''







     a_									=0.0
     a_									=1.0
     a_									=int(sqrt(lowercase__							)							)
     a_									=root
     a_									=0
     while integer_part != 2 * root:
          a_									=denominator * integer_part - numerator
          a_									=(n - numerator**2) / denominator
          a_									=int((root + numerator) / denominator							)
          period += 1
     return period






def 			UpperCAmelCase_							(		lowercase__ = 1_0_0_0_0							):


     '''simple docstring'''







     a_									=0
     for i in range(2							,						n + 1							):
          a_									=sqrt(lowercase__							)
          if sr - floor(lowercase__							) != 0 and continuous_fraction_period(lowercase__							) % 2 == 1:
               count_odd_periods += 1
     return count_odd_periods


if __name__ == "__main__":
  print(F"""{solution(int(input().strip()))}""")


