code: def read_metadata(self) -> Metadata:
      self._fail_rank("fail_read_metadata")
      return self.metadata
  
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 6 for calling the FaultyStorageReader obj's underlying member method code with example usage: obj.read_metadata() and returns: self