Reduce the experiments to restart.

def reduce_configs(self):
        """Reduce the experiments to restart."""
        experiment_ids = self.get_reduced_configs()
        experiments = self.experiment_group.experiments.filter(id__in=experiment_ids)
        self.create_iteration()
        iteration_config = self.experiment_group.iteration_config
        hptuning_config = self.experiment_group.hptuning_config
        n_resources = self.experiment_group.search_manager.get_resources_for_iteration(
            iteration=iteration_config.iteration)
        resource_value = self.experiment_group.search_manager.get_n_resources(
            n_resources=n_resources, bracket_iteration=iteration_config.bracket_iteration
        )
        resource_name = hptuning_config.hyperband.resource.name
        resource_value = hptuning_config.hyperband.resource.cast_value(resource_value)

        # Check if we need to resume or restart the experiments
        for experiment in experiments:
            declarations = experiment.declarations
            declarations[resource_name] = resource_value
            declarations_spec = {'declarations': declarations}
            specification = experiment.specification.patch(declarations_spec)
            status_message = 'Hyperband iteration: {}, bracket iteration: {}'.format(
                iteration_config.iteration,
                iteration_config.bracket_iteration)

            if hptuning_config.hyperband.resume:
                experiment.resume(
                    declarations=declarations,
                    config=specification.parsed_data,
                    message=status_message)
            else:
                experiment.restart(
                    experiment_group=self.experiment_group,
                    declarations=declarations,
                    config=specification.parsed_data)