code: def __init__(self, items):
      super().__init__(items)
      self.items = items
  
imports: import functools
  import pickle
  from typing import Dict, Callable, Optional, TypeVar, Generic, Iterator
  from torch.utils.data.datapipes._typing import _DataPipeMeta, _IterDataPipeMeta
  from torch.utils.data.datapipes._hook_iterator import _SnapshotState
  from torch.utils.data.datapipes.utils.common import _deprecation_warning, _iter_deprecated_functional_names, _map_deprecated_functional_names
  from torch.utils.data.dataset import Dataset, IterableDataset
label_desc: Use image node_id 1 to create a new DataChunk object from inherited base classes: list, Generic with example: obj = DataChunk(items)