code: def apply(
      self,
      trials: List[optuna.trial.FrozenTrial],
      study_direction: Optional[optuna.study.StudyDirection],
  ) -> List[optuna.trial.FrozenTrial]:
      pass
  
imports: import abc
  from typing import Any
  from typing import cast
  from typing import Dict
  from typing import List
  from typing import Optional
  from typing import Tuple
  import numpy
  import optuna
  from optuna._transform import _SearchSpaceTransform
  from optuna.distributions import _is_distribution_log
  from optuna.distributions import BaseDistribution
  from optuna.distributions import CategoricalDistribution
  from optuna.distributions import FloatDistribution
  from optuna.distributions import IntDistribution
  from optuna.search_space import intersection_search_space
  from optuna.trial._state import TrialState
label_desc: Use image node_id 1 for calling the BasePreprocessing obj's underlying member method code with example usage: obj.apply(trials, study_direction) without return types