hunk.code_window: @pytest.mark.parametrize(
       "ray_start_cluster", [{
           "num_cpus": 8,
           "num_nodes": 4,
           "_system_config": {
               "num_heartbeats_timeout": 100
           },
       }],
       indirect=True)
  
hunk.labels: keep keep keep keep keep replace keep keep keep
hunk.after_edit:             "num_heartbeats_timeout": 10
  
hunk.file_path: python/ray/tests/test_component_failures_2.py
hunk.type: replace
file: import logging
  logger = logging.getLogger(__name__)
  
  TorchTrainer = None
  TrainingOperator = None
  BaseTorchTrainable = None
  CreatorOperator = None
  
  try:
      import torch  # noqa: F401
  
      from ray.util.sgd.torch.torch_trainer import (TorchTrainer,
                                                    BaseTorchTrainable)
  
      from ray.util.sgd.torch.training_operator import (TrainingOperator,
                                                        CreatorOperator)
  
      __all__ = [
          "TorchTrainer", "BaseTorchTrainable", "TrainingOperator",
          "CreatorOperator"
      ]
  except ImportError as e:
      logger.warning(e)
      logger.warning("PyTorch not found. TorchTrainer will not be available")
  