old_contents: """Core module."""
  
  # -*- coding: utf-8 -*-
  
  
  def get_hmm():
      """Get a thought."""
      return 'hmmm...'
  
  
  def hmm():
      """Contemplation..."""
      print(get_hmm())
  
  
  class Cube:
      """Main class representing the latin hyper cube.
  
      In particular, this class can count how many data points have been gathered
      in subparts of the cube.
      """
  
      def __init__(self, n, subdivisions):
          """
          Initialiser of Cube class.
  
          Expect the number of dimensions dimensions (n), and the number
          of subdivisions (subdivisions).
  
          n is a positive integer
  
          subdivisions is an array of length n, giving the number of subvidisions
          of the hypercube in the respective dimensions.
          """
          self.n = n
          self.subdivisions = subdivisions
  
          assert len(self.subdivisions) == self.n
  
          assert isinstance(self.n, int)
          assert n > 0
  
  
new_contents: """Core module providing functionality of latinhypercube."""
  
  # -*- coding: utf-8 -*-
  
  import numpy as np
  
  
  def get_hmm():
      """Get a thought."""
      return 'hmmm...'
  
  
  def hmm():
      """Contemplation..."""
      print(get_hmm())
  
  
  class Cube:
      """Main class representing the latin hyper cube.
  
      In particular, this class can count how many data points have been gathered
      in subparts of the cube.
      """
  
      def __init__(self, n, subdivisions):
          """
          Initialiser of Cube class.
  
          Expect the number of dimensions dimensions (n), and the number
          of subdivisions (subdivisions).
  
          n is a positive integer
  
          subdivisions is an array of length n, giving the number of subvidisions
          of the hypercube in the respective dimensions.
          """
          self.n = n
          self.subdivisions = subdivisions
  
          assert len(self.subdivisions) == self.n
  
          assert isinstance(self.n, int)
          assert n > 0
  
          # create numpy array for occupancy
          self.counts = np.zeros(tuple(self.subdivisions))
  
  
subject: make tests pass