class_docstr: Save type annotation in `param`.
code: def __init__(self, param):
      self.param = param
  
imports: import collections
  import functools
  import numbers
  import sys
  from torch.utils.data.datapipes._hook_iterator import hook_iterator, _SnapshotState
  from typing import Any, Dict, Iterator, Generic, List, Set, Tuple, TypeVar, Union, get_type_hints
  from typing import _eval_type, _tp_cache, _type_check, _type_repr
  from typing import ForwardRef
  from abc import ABCMeta
  from typing import _GenericAlias
label_desc: Use image node_id 1 to create a new _DataPipeType object  with example: obj = _DataPipeType(param)