code: def test_save_error_handling(self) -> None:
      state_dict = {
          "sharded": sharded_tensor.rand(self.get_spec(), 20, 20),
          "replicated": torch.rand(10, 10),
          "bytes": [1, 2, 3, 4],
      }
  
      self._test_save(state_dict, fail_set_up_storage_writer=[0])
      self._test_save(state_dict, fail_finish=[0])
      self._test_save(state_dict, fail_prepare_global_plan=[0])
  
      self._test_save(state_dict, fail_prepare_local_plan=[0])
      self._test_save(state_dict, fail_write_data=[2])
      self._test_save(state_dict, fail_write_data_async=[3])
  
      self._test_save(
          state_dict, coordinator=1, fail_set_up_storage_writer=[1]
      )
      self._test_save(state_dict, coordinator=1, fail_finish=[1])
  
imports: import sys
  from typing import cast, List, Optional
  import torch
  import torch.distributed
  import torch.futures
  import torch.nn
  from torch.distributed._shard import sharded_tensor
  from torch.distributed._shard.sharded_tensor import ShardedTensor, state_dict_hook
  from torch.distributed._shard.sharding_spec import ChunkShardingSpec
  from torch.distributed.checkpoint import CheckpointException, load_state_dict, save_state_dict, StorageReader, StorageWriter
  from torch.distributed.checkpoint.default_planner import _create_default_local_metadata
  from torch.distributed.checkpoint.metadata import BytesStorageMetadata, Metadata, TensorStorageMetadata
  from torch.distributed.checkpoint.planner import LoadPlan, LoadPlanner, SavePlan, SavePlanner
  from torch.distributed.checkpoint.storage import WriteResult
  from torch.futures import Future
  from torch.testing._internal.common_distributed import requires_nccl, skip_if_lt_x_gpu
  from torch.testing._internal.common_utils import run_tests, TEST_WITH_DEV_DBG_ASAN
  from torch.testing._internal.distributed._shard.sharded_tensor import ShardedTensorTestBase, with_comms
label_desc: Use image node_id 7 for calling the TestDistributedFailure obj's underlying member method code with example usage: obj.test_save_error_handling() without return types