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"""
  from collections import namedtuple
  
  __magic_name__		       =				namedtuple('''from_to''', '''from_ to''')
  
  __magic_name__		       =				{
      '''atm''': from_to(1, 1),
      '''pascal''': from_to(0.0000098, 10_13_25),
      '''bar''': from_to(0.986923, 1.01325),
      '''kilopascal''': from_to(0.00986923, 101.325),
      '''megapascal''': from_to(9.86923, 0.101325),
      '''psi''': from_to(0.068046, 14.6959),
      '''inHg''': from_to(0.0334211, 29.9213),
      '''torr''': from_to(0.00131579, 7_60),
  }
  
  
  
  
  def     __lowerCamelCase  (		UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__      ):
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  	if from_type not in PRESSURE_CONVERSION:
  		raise ValueError(
  		    f"Invalid 'from_type' value: {from_type!r}  Supported values are:\n"
  		    + ", ".join(UpperCamelCase__      )      )
  	if to_type not in PRESSURE_CONVERSION:
  		raise ValueError(
  		    f"Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"
  		    + ", ".join(UpperCamelCase__      )      )
  	return (
  	    value * PRESSURE_CONVERSION[from_type].from_ * PRESSURE_CONVERSION[to_type].to
  	)
  
  
  if __name__ == "__main__":
  			import doctest
  
  			doctest.testmod()
  
  
  
  
  