code: def test_suggest_discrete_uniform(storage_mode: str) -> None:
      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)
  
          x1 = trial.suggest_discrete_uniform("x", 0, 10, 2)
          assert 0 <= x1 <= 10
          assert x1 % 2 == 0
  
          x2 = trial.suggest_discrete_uniform("x", 0, 10, 2)
          assert x1 == x2
  
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 7 for calling a global function with example usage: test_suggest_discrete_uniform(storage_mode) without return types