






"""simple docstring"""


import cva
import numpy as np



def  lowerCAmelCase    (   __UpperCamelCase		,	__UpperCamelCase		,	__UpperCamelCase		,	__UpperCamelCase			):




  """simple docstring"""







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



def  lowerCAmelCase    (   __UpperCamelCase		,	__UpperCamelCase		,	__UpperCamelCase			):




  """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(__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.
       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"""


def  lowerCAmelCase    (   __UpperCamelCase			):




  """simple docstring"""







  if not isinstance(__UpperCamelCase		,	__UpperCamelCase			):
    raise ValueError('''Input series is not valid, valid series - [2, 4, 8]'''			)
  if len(__UpperCamelCase			) == 0:
    raise ValueError('''Input list must be a non empty list'''			)
  if len(__UpperCamelCase			) == 1:
    return True
  try:
    __A						      =			series[1] / series[0]
    for index in range(len(__UpperCamelCase			) - 1			):
      if series[index + 1] / series[index] != common_ratio:
        return False
  except ZeroDivisionError:
    return False
  return True



def  lowerCAmelCase    (   __UpperCamelCase			):




  """simple docstring"""







  if not isinstance(__UpperCamelCase		,	__UpperCamelCase			):
    raise ValueError('''Input series is not valid, valid series - [2, 4, 8]'''			)
  if len(__UpperCamelCase			) == 0:
    raise ValueError('''Input list must be a non empty list'''			)
  __A						      =			1
  for value in series:
    answer *= value
  return pow(__UpperCamelCase		,	1 / len(__UpperCamelCase			)			)


if __name__ == "__main__":
       import doctest

       doctest.testmod()




