class_docstr: ``DatasetAttribute`` for ``pennylane.operation.Operator`` classes.
  
  Supports all operator types that meet the following conditions:
      - The ``__init__()`` method matches the signature of ``Operator.__init__``,
          or any additional arguments are optional and do not affect the value of
          the operator
      - The ``data`` and ``wires`` attributes will produce an identical copy of
          operator if passed into the classes' ``__init__()`` method. Generally,
          this means ``__init__()`` do not mutate the ``identifiers`` and ``wires``
          arguments.
      - Hyperparameters are not used or are automatically derived by ``__init__()``.
  
  Almost all operators meet these conditions. This type also supports serializing the
  ``Hamiltonian`` and ``Tensor`` operators.
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code: def value_to_hdf5(
      self, bind_parent: HDF5Group, key: str, value: Op
  ) -> HDF5Group:
      return self._ops_to_hdf5(bind_parent, key, [value])
  
file_path: pennylane/pennylane/data/attributes/operator/operator.py
imports: import json
  import typing
  from functools import lru_cache
  from typing import Dict, FrozenSet, Generic, List, Type, TypeVar
  import numpy
  import pennylane
  from pennylane.data.base.attribute import DatasetAttribute
  from pennylane.data.base.hdf5 import HDF5Group, h5py
  from pennylane.operation import Operator, Tensor
  from ._wires import wires_to_json
label_desc: Use image node_id 2 for calling the DatasetOperator obj's underlying member method code with example usage: obj.value_to_hdf5(bind_parent, key, value) and returns: self