code: 
  """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"""
  
  
  
  
  
  
  	_UpperCAmelCase =						image[x_coordinate][y_coordinate]
  	_UpperCAmelCase =						[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
  	_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				,     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.
  			__magic_name__		       =				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
  			__magic_name__		       =				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]):
  									__magic_name__		       =				local_binary_value(image, i, j)
  
  			cva.imshow('''local binary pattern''', lbp_image)
  			cva.waitKey(0)
  			cva.destroyAllWindows()
  
  
  
  
  
style_context: 
  """simple docstring"""
  def     __lowerCamelCase  (		UpperCamelCase__ = 400_0000      ):
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  	_UpperCAmelCase =						1
  	_UpperCAmelCase =						2
  	_UpperCAmelCase =						0
  	while j <= n:
  		if j % 2 == 0:
  			total += j
  		_UpperCAmelCase ,      _UpperCAmelCase =						j, i + j
  
  	return total
  
  
  if __name__ == "__main__":
  			print(f'''{solution() = }''')
  
  
  
  
  