code: def get_next_iteration(self, iteration, iteration_kwargs={}):
  		
  		
  		
  		budgets = [self.max_budget]
  		ns = [self.budget_per_iteration//self.max_budget]
  		
  		return(SuccessiveHalving(HPB_iter=iteration, num_configs=ns, budgets=budgets, config_sampler=self.config_generator.get_config, **iteration_kwargs))
docs: Returns a SH iteration with only evaluations on the biggest budget
  		
  		Parameters
  		----------
  			iteration: int
  				the index of the iteration to be instantiated
  
  		Returns
  		-------
  			SuccessiveHalving: the SuccessiveHalving iteration with the
  				corresponding number of configurations