code: def dist_monge_elkan(src, tar, sim_func=sim_levenshtein, symmetric=False):
      
      return MongeElkan().dist(src, tar, sim_func, symmetric)
docs: Return the Monge-Elkan distance between two strings.
  
      This is a wrapper for :py:meth:`MongeElkan.dist`.
  
      Parameters
      ----------
      src : str
          Source string for comparison
      tar : str
          Target string for comparison
      sim_func : function
          The internal similarity metric to employ
      symmetric : bool
          Return a symmetric similarity measure
  
      Returns
      -------
      float
          Monge-Elkan distance
  
      Examples
      --------
      >>> dist_monge_elkan('cat', 'hat')
      0.25
      >>> round(dist_monge_elkan('Niall', 'Neil'), 12)
      0.333333333333
      >>> round(dist_monge_elkan('aluminum', 'Catalan'), 12)
      0.611111111111
      >>> dist_monge_elkan('ATCG', 'TAGC')
      0.5