code: def test_enqueue_trial() -> None:
      study = optuna.multi_objective.create_study(
          ["minimize", "maximize"]
      )
  
      study.enqueue_trial({"x": 2})
      study.enqueue_trial({"x": 3})
  
      def objective(
          trial: optuna.multi_objective.trial.MultiObjectiveTrial,
      ) -> List[float]:
          if trial.number == 0:
              assert trial.suggest_uniform("x", 0, 100) == 2
          elif trial.number == 1:
              assert trial.suggest_uniform("x", 0, 100) == 3
  
          return [0, 0]
  
      study.optimize(objective, n_trials=2)
  
file_path: optuna/tests/multi_objective_tests/test_study.py
imports: from typing import List
  from typing import Tuple
  import uuid
  import _pytest.capture
  import pytest
  import optuna
  from optuna.study._study_direction import StudyDirection
  from optuna.testing.storages import StorageSupplier
label_desc: Use image node_id 6 for calling a global function with example usage: test_enqueue_trial() and returns: list