class_docstr: Base class for various iteration possibilities. This decides what configuration should be run on what budget
  next. Typical choices are e.g. successive halving. Results from runs are processed and (depending on the
  implementations) determine the further development.
docstr: Function that implements the strategy to advance configs within this iteration
  
  Overload this to implement different strategies, like
  SuccessiveHalving, SuccessiveResampling.
  
  Parameters
  ----------
          config_ids: list
                  all config ids to be considered
          losses: list
                  losses of the run on the current budget
                  
  Returns
  -------
          list of bool
                  A boolean for each entry in config_ids indicating whether to advance it or not
docstr_tok: ["Function","that","implements","the","strategy","to","advance","configs","within","this","iteration","Overload","this","to","implement","different","strategies",",","like","SuccessiveHalving",",","SuccessiveResampling",".","Parameters","--","--","--","--","--","config_ids",":","list","all","config","ids","to","be","considered","losses",":","list","losses","of","the","run","on","the","current","budget","Returns","--","--","--","-","list","of","bool","A","boolean","for","each","entry","in","config_ids","indicating","whether","to","advance","it","or","not"]
code: def _advance_to_next_stage(self, config_ids, losses):
      """
      Function that implements the strategy to advance configs within this iteration
  
      Overload this to implement different strategies, like
      SuccessiveHalving, SuccessiveResampling.
  
      Parameters
      ----------
              config_ids: list
                      all config ids to be considered
              losses: list
                      losses of the run on the current budget
  
      Returns
      -------
              list of bool
                      A boolean for each entry in config_ids indicating whether to advance it or not
  
  
      """
      raise NotImplementedError(
          "_advance_to_next_stage not implemented for %s"
          % type(self).__name__
      )
  
imports: import sys
  import logging
  import numpy
  import pdb
  from hpbandster.core.dispatcher import Job
label_desc: Use image node_id 5 for calling the BaseIteration obj's underlying member method code with example usage: obj._advance_to_next_stage(config_ids, losses) without return types