code: def __init__(
      self, datapipe: IterDataPipe[Dict[str, Any]], *, labels_key: str
  ) -> None:
      self.datapipe = datapipe
      self.labels_key = labels_key
  
imports: import abc
  import io
  import pathlib
  import pickle
  from typing import Any, BinaryIO, cast, Dict, Iterator, List, Optional, Tuple, Union
  import numpy
  from torchdata.datapipes.iter import Filter, IterDataPipe, Mapper
  from torchvision.prototype.datasets.utils import Dataset, HttpResource, OnlineResource
  from torchvision.prototype.datasets.utils._internal import hint_sharding, hint_shuffling, path_comparator, read_categories_file
  from torchvision.prototype.tv_tensors import Label
  from torchvision.tv_tensors import Image
  from .._api import register_dataset, register_info
label_desc: Use image node_id 1 to create a new CifarFileReader object from inherited base classes: IterDataPipe with example: obj = CifarFileReader(datapipe)