code: def test_restore_from_uri_s3(
      ray_start_4_cpus, tmp_path, monkeypatch, mock_s3_bucket_uri
  ):
      """Restoration from S3 should work."""
      monkeypatch.setenv("RAY_AIR_LOCAL_CACHE_DIR", str(tmp_path))
      trainer = DataParallelTrainer(
          train_loop_per_worker=lambda config: train.report(
              {"score": 1}
          ),
          scaling_config=ScalingConfig(num_workers=2),
          run_config=RunConfig(
              name="restore_from_uri", storage_path=mock_s3_bucket_uri
          ),
      )
      trainer.fit()
  
      # Restore from local dir
      DataParallelTrainer.restore(str(tmp_path / "restore_from_uri"))
  
      # Restore from S3
      assert DataParallelTrainer.can_restore(
          str(URI(mock_s3_bucket_uri) / "restore_from_uri")
      )
      DataParallelTrainer.restore(
          str(URI(mock_s3_bucket_uri) / "restore_from_uri")
      )
  
imports: import warnings
  from pathlib import Path
  from typing import Dict, List
  import pytest
  import ray
  from ray import train
  from ray.air._internal.uri_utils import URI
  from ray.train import CheckpointConfig, RunConfig, ScalingConfig
  from ray.train.base_trainer import BaseTrainer
  from ray.train.data_parallel_trainer import DataParallelTrainer
  from ray.train.lightgbm import LightGBMTrainer
  from ray.train.tests.util import create_dict_checkpoint, load_dict_checkpoint
  from ray.train.torch import TorchTrainer
  from ray.train.trainer import TrainingFailedError
  from ray.train.xgboost import XGBoostTrainer
  from ray.tune import Callback
  from ray.tune.experiment import Trial
label_desc: Use image node_id 6 for calling a global function with example usage: test_restore_from_uri_s3(ray_start_4_cpus, tmp_path, monkeypatch, mock_s3_bucket_uri) without return types