docs: def run_freidman_supsmu(x, y, bass_enhancement=0.0):
      """Run the FORTRAN supersmoother."""
      N = len(x)
      weight = numpy.ones(N)
      results = numpy.zeros(N)
      flags = numpy.zeros((N, 7))
      mace.supsmu(x, y, weight, 1, 0.0, bass_enhancement, results, flags)
      return results