old_contents: import numpy as np
  def unit_interval(N):
  	"""
  	Computes the coordinates of nodes and elements.
  	
  	Parameters:
  		1. `N` : int
  			Dictionary of index sizes
  
  	Returns:
  		1. `c4n` : float array
  			The resulting product.
  		1. `n4e` : int array
  			The resulting product.
  
  	Examples:
  		>>> c4n, n4e = unit_interval(4)
  		>>> c4n 
  		array([ 0.        ,  0.33333333,  0.66666667,  1.        ])
  		>>> n4e
  		array([[0, 1],
  		   [1, 2],
  		   [2, 3]])
  	"""
  	c4n = np.linspace(0, 1, N)
  	n4e = np.array([[item,item+1] for item in range(0,N-1)])
  	return (c4n, n4e)
  
  def unit_square(h):
  	print("unit_square is called.")
new_contents: import numpy as np
  def unit_interval(N):
  	"""
  	Computes the coordinates of nodes and elements.
  	
  	Parameters:
  		1. N : int
  			Dictionary of index sizes
  
  	Returns:
  		1. c4n : float array
  			The resulting product.
  		1. n4e : int array
  			The resulting product.
  
  	Examples:
  		>>> c4n, n4e = unit_interval(4)
  		>>> c4n 
  		array([ 0.        ,  0.33333333,  0.66666667,  1.        ])
  		>>> n4e
  		array([[0, 1],
  		   [1, 2],
  		   [2, 3]])
  	"""
  	c4n = np.linspace(0, 1, N)
  	n4e = np.array([[item,item+1] for item in range(0,N-1)])
  	return (c4n, n4e)
  
  def unit_square(h):
  	print("unit_square is called.")
subject: remove formatting