code: def test_updates_properties(storage_mode: str) -> None:
      """Check for any distributed deadlock following a property read."""
      with StorageSupplier(storage_mode) as storage:
          if dist.get_rank() == 0:
              study = optuna.create_study(storage=storage)
              trial = TorchDistributedTrial(study.ask())
          else:
              trial = TorchDistributedTrial(None)
  
          trial.suggest_float("f", 0, 1)
          trial.suggest_int("i", 0, 1)
          trial.suggest_categorical("c", ("a", "b", "c"))
  
          property_names = [
              p
              for p in dir(TorchDistributedTrial)
              if isinstance(getattr(TorchDistributedTrial, p), property)
          ]
  
          # Rank 0 can read properties without deadlock.
          if dist.get_rank() == 0:
              [getattr(trial, p) for p in property_names]
  
          dist.barrier()
  
          # Same with rank 1.
          if dist.get_rank() == 1:
              [getattr(trial, p) for p in property_names]
  
          dist.barrier()
  
imports: import datetime
  import os
  from typing import Optional
  import pytest
  import optuna
  from optuna._imports import try_import
  from optuna.integration import TorchDistributedTrial
  from optuna.testing.pruners import DeterministicPruner
  from optuna.testing.storages import StorageSupplier
label_desc: Use image node_id 19 for calling a global function with example usage: test_updates_properties(storage_mode) without return types