code: def uniform_distribution(number_of_nodes):
      
      # The size of the state space for binary nodes is 2^(number of nodes).
      number_of_states = 2 ** number_of_nodes
      # Generate the maximum entropy distribution
      # TODO extend to nonbinary nodes
      return (np.ones(number_of_states) /
              number_of_states).reshape([2] * number_of_nodes)
docs: Return the uniform distribution for a set of binary nodes, indexed by state
      (so there is one dimension per node, the size of which is the number of
      possible states for that node).
  
      Args:
          nodes (np.ndarray): A set of indices of binary nodes.
  
      Returns:
          np.ndarray: The uniform distribution over the set of nodes.