code: def model_counts_spectrum(self, name, logemin, logemax, weighted=False):
          
          # EAC, we need this b/c older version of the ST don't have the right signature
          try:
              cs = np.array(self.like.logLike.modelCountsSpectrum(
                  str(name), weighted))
          except (TypeError, NotImplementedError):
              cs = np.array(self.like.logLike.modelCountsSpectrum(str(name)))
          imin = utils.val_to_edge(self.log_energies, logemin)[0]
          imax = utils.val_to_edge(self.log_energies, logemax)[0]
          if imax <= imin:
              raise Exception('Invalid energy range.')
          return cs[imin:imax]
docs: Return the model counts spectrum of a source.
  
          Parameters
          ----------
          name : str
             Source name.