code: def results(self):
          
  
          # Add all saved samples (and ancillary quantities) to the results.
          with warnings.catch_warnings():
              warnings.simplefilter("ignore")
              results = [('niter', self.it - 1),
                         ('ncall', np.array(self.saved_nc)),
                         ('eff', self.eff),
                         ('samples', np.array(self.saved_v)),
                         ('samples_id', np.array(self.saved_id)),
                         ('samples_batch', np.array(self.saved_batch,
                                                    dtype='int')),
                         ('samples_it', np.array(self.saved_it)),
                         ('samples_u', np.array(self.saved_u)),
                         ('samples_n', np.array(self.saved_n)),
                         ('logwt', np.array(self.saved_logwt)),
                         ('logl', np.array(self.saved_logl)),
                         ('logvol', np.array(self.saved_logvol)),
                         ('logz', np.array(self.saved_logz)),
                         ('logzerr', np.sqrt(np.array(self.saved_logzvar))),
                         ('information', np.array(self.saved_h)),
                         ('batch_nlive', np.array(self.saved_batch_nlive,
                                                  dtype='int')),
                         ('batch_bounds', np.array(self.saved_batch_bounds))]
  
          # Add any saved bounds (and ancillary quantities) to the results.
          if self.sampler.save_bounds:
              results.append(('bound', copy.deepcopy(self.bound)))
              results.append(('bound_iter',
                              np.array(self.saved_bounditer, dtype='int')))
              results.append(('samples_bound',
                              np.array(self.saved_boundidx, dtype='int')))
              results.append(('scale', np.array(self.saved_scale)))
  
          return Results(results)
docs: Saved results from the dynamic nested sampling run. All saved
          bounds are also returned.