code: def test_get_chunked_dim_size(self):
      self.assertEqual(3, get_chunked_dim_size(11, 3, 0))
      self.assertEqual(2, get_chunked_dim_size(11, 3, 3))
      self.assertEqual(4, get_chunked_dim_size(13, 4, 0))
      self.assertEqual(1, get_chunked_dim_size(13, 4, 3))
      self.assertEqual(0, get_chunked_dim_size(5, 2, 3))
  
imports: from typing import List, Union
  from dataclasses import dataclass
  import copy
  import torch
  from torch.testing._internal.common_utils import TestCase
  from torch.testing._internal.common_distributed import requires_nccl, skip_if_lt_x_gpu
  from torch.distributed._shard import sharded_tensor, _shard_tensor
  from torch.distributed._shard.sharding_spec import ShardingSpec, ChunkShardingSpec, DevicePlacementSpec, EnumerableShardingSpec, ShardMetadata, _infer_sharding_spec_from_shards_metadata
  from torch.distributed._shard.sharded_tensor import TensorProperties, ShardedTensor, ShardedTensorMetadata
  from torch.distributed._shard.sharding_spec._internals import check_tensor, get_split_size, get_chunked_dim_size, get_chunk_sharding_params, validate_non_overlapping_shards_metadata
  from torch.testing._internal.common_cuda import TEST_MULTIGPU
  from torch.testing._internal.common_utils import run_tests, skip_but_pass_in_sandcastle_if
  from torch.testing._internal.distributed._shard.sharded_tensor._test_st_common import _chunk_sharding_specs_list_for_test
  from torch.testing._internal.distributed._shard.sharded_tensor import ShardedTensorTestBase, with_comms
label_desc: Use image node_id 5 for calling the TestShardingSpec obj's underlying member method code with example usage: obj.test_get_chunked_dim_size() without return types