code: def _advance_to_next_stage(self, config_ids, losses):
      """
      SuccessiveHalving simply continues the best based on the current loss.
      """
      ranks = np.argsort(np.argsort(losses))
      return ranks < self.num_configs[self.stage]
  
imports: from hpbandster.core.base_iteration import BaseIteration
  import numpy
label_desc: Use image node_id 1 for calling the SuccessiveHalving obj's underlying member method code with example usage: obj._advance_to_next_stage(config_ids, losses) and returns: unknown