class_docstr: Save type annotation in `param`.
code: def issubtype(self, other):
      if isinstance(other.param, _GenericAlias):
          if getattr(other.param, "__origin__", None) is Generic:
              return True
      if isinstance(other, _DataPipeType):
          return issubtype(self.param, other.param)
      if isinstance(other, type):
          return issubtype(self.param, other)
      raise TypeError(
          f"Expected '_DataPipeType' or 'type', but found {type(other)}"
      )
  
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 5 for calling the _DataPipeType obj's underlying member method code with example usage: obj.issubtype(other) and returns: issubtype, issubtype, True