class_docstr: The DatasetAttribute class provides an interface for converting Python objects to and from a HDF5
  array or Group. It uses the registry pattern to maintain a mapping of type_id to
  DatasetAttribute, and Python types to compatible AttributeTypes.
  
  Attributes:
      type_id: Unique identifier for this DatasetAttribute class. Must be declared
          in subclasses.
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code: def __repr__(self) -> str:
      return f"{type(self).__name__}({repr(self.get_value())})"
  
imports: import typing
  import warnings
  from abc import ABC, abstractmethod
  from collections.abc import Mapping, MutableMapping, Sequence
  from functools import lru_cache
  from numbers import Number
  from types import MappingProxyType
  from typing import Any, ClassVar, Generic, Iterator, Literal, Optional, Tuple, Type, TypeVar, Union, overload
  from pennylane.data.base import hdf5
  from pennylane.data.base.hdf5 import HDF5, HDF5Any, HDF5Group
  from pennylane.data.base.typing_util import UNSET, get_type, get_type_str
label_desc: Use image node_id 22 for calling the DatasetAttribute obj's underlying member method code with example usage: obj.__repr__() and returns: type, str, repr, str