code: def get_reduced_configs(self):
          
          iteration_config = self.experiment_group.iteration_config
          if iteration_config is None:
              logger.error(
                  'Experiment group `%s` attempt to update iteration, but has no iteration',
                  self.experiment_group.id,
                  extra={'stack': True})
              return
          search_manager = self.experiment_group.search_manager
  
          # Get the number of experiments to keep
          n_configs_to_keep = search_manager.get_n_config_to_keep_for_iteration(
              iteration=iteration_config.iteration,
              bracket_iteration=iteration_config.bracket_iteration)
  
          # Get the last group's experiments metrics
          experiments_metrics = self.experiment_group.iteration_config.experiments_metrics
          if experiments_metrics is None:
              raise ExperimentGroupException()
  
          # Order the experiments
          reverse = Optimization.maximize(
              self.experiment_group.hptuning_config.hyperband.metric.optimization)
          experiments_metrics = sorted(experiments_metrics, key=lambda x: x[1], reverse=reverse)
  
          # Keep n experiments
          return [xp[0] for xp in experiments_metrics[:n_configs_to_keep]]
docs: Reduce the experiments to restart.