code: def sim_mlipns(src, tar, threshold=0.25, max_mismatches=2):
      
      return MLIPNS().sim(src, tar, threshold, max_mismatches)
docs: Return the MLIPNS similarity of two strings.
  
      This is a wrapper for :py:meth:`MLIPNS.sim`.
  
      Parameters
      ----------
      src : str
          Source string for comparison
      tar : str
          Target string for comparison
      threshold : float
          A number [0, 1] indicating the maximum similarity score, below which
          the strings are considered 'similar' (0.25 by default)
      max_mismatches : int
          A number indicating the allowable number of mismatches to remove before
          declaring two strings not similar (2 by default)
  
      Returns
      -------
      float
          MLIPNS similarity
  
      Examples
      --------
      >>> sim_mlipns('cat', 'hat')
      1.0
      >>> sim_mlipns('Niall', 'Neil')
      0.0
      >>> sim_mlipns('aluminum', 'Catalan')
      0.0
      >>> sim_mlipns('ATCG', 'TAGC')
      0.0