code: def calculate(self, study: Study) -> _SearchSpaceGroup:
      if self._study_id is None:
          self._study_id = study._study_id
      else:
          # Note that the check below is meaningless when `InMemoryStorage` is used
          # because `InMemoryStorage.create_new_study` always returns the same study ID.
          if self._study_id != study._study_id:
              raise ValueError(
                  "`_GroupDecomposedSearchSpace` cannot handle multiple studies."
              )
  
      states_of_interest: Tuple[TrialState, ...]
      if self._include_pruned:
          states_of_interest = (TrialState.COMPLETE, TrialState.PRUNED)
      else:
          states_of_interest = (TrialState.COMPLETE,)
  
      for trial in study._get_trials(
          deepcopy=False, states=states_of_interest, use_cache=False
      ):
          self._search_space.add_distributions(trial.distributions)
  
      return copy.deepcopy(self._search_space)
  
file_path: optuna/optuna/search_space/group_decomposed.py
imports: import copy
  from typing import Dict
  from typing import List
  from typing import Optional
  from typing import Tuple
  from optuna.distributions import BaseDistribution
  from optuna.study import Study
  from optuna.trial import TrialState
label_desc: Use image node_id 2 for calling the _GroupDecomposedSearchSpace obj's underlying member method code with example usage: obj.calculate(study) and returns: copy