code: def test_info(self, name):
      try:
          info = datasets.info(name)
      except ValueError:
          raise AssertionError("No info available.") from None
  
      if not (
          isinstance(info, dict)
          and all(isinstance(key, str) for key in info.keys())
      ):
          raise AssertionError(
              "Info should be a dictionary with string keys."
          )
  
imports: import io
  import pickle
  from collections import deque
  from pathlib import Path
  import pytest
  import torch
  import torchvision.transforms.v2
  from builtin_dataset_mocks import DATASET_MOCKS, parametrize_dataset_mocks
  from torch.testing._comparison import not_close_error_metas, ObjectPair, TensorLikePair
  from torch.utils.data import DataLoader
  from torch.utils.data.graph_settings import get_all_graph_pipes
  from torchdata.dataloader2.graph.utils import traverse_dps
  from torchdata.datapipes.iter import ShardingFilter, Shuffler
  from torchdata.datapipes.utils import StreamWrapper
  from torchvision import tv_tensors
  from torchvision._utils import sequence_to_str
  from torchvision.prototype import datasets
  from torchvision.prototype.datasets.utils import EncodedImage
  from torchvision.prototype.datasets.utils._internal import INFINITE_BUFFER_SIZE
  from torchvision.prototype.tv_tensors import Label
  from torchvision.transforms.v2._utils import is_pure_tensor
label_desc: Use image node_id 1 for calling the TestCommon obj's underlying member method code with example usage: obj.test_info(name) without return types