code: def world_size(self) -> int:
      return 2
  
imports: import os
  import shutil
  import sys
  import tempfile
  from typing import Dict
  import torch
  import torch.distributed
  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, EnumerableShardingSpec, ShardingSpec, ShardMetadata
  from torch.distributed.checkpoint import FileSystemReader, FileSystemWriter, load_state_dict, save_state_dict
  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, TestCase
  from torch.testing._internal.distributed._shard.sharded_tensor import ShardedTensorTestBase, with_comms
  from torch.testing._internal.distributed._shard.sharded_tensor._test_st_common import MyShardedModel1
label_desc: Use image node_id 1 for calling the TestDistributedStateDictSaveLoadWithSharedTensor obj's underlying member method code with example usage: obj.world_size() and returns: int