qml.data.DatasetNone¶
-
class
DatasetNone
(value=<UnsetType.UNSET: 'UNSET'>, info=None, *, bind=None, parent_and_key=None)[source]¶ Bases:
pennylane.data.base.attribute.DatasetAttribute
[Union
[numpy._typing._array_like._SupportsArray
[numpy.dtype
[Any
]],numpy._typing._nested_sequence._NestedSequence
[numpy._typing._array_like._SupportsArray
[numpy.dtype
[Any
]]],bool
,int
,float
,complex
,str
,bytes
,numpy._typing._nested_sequence._NestedSequence
[Union
[bool
,int
,float
,complex
,str
,bytes
]]],None
,None
]Datasets type for ‘None’ values.
Attributes
Returns the HDF5 object that contains this attribute’s data.
Returns the
AttributeInfo
for this attribute.Maps type_ids to their DatasetAttribute classes.
Maps types to their default DatasetAttribute
-
bind
¶ Returns the HDF5 object that contains this attribute’s data.
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info
¶ Returns the
AttributeInfo
for this attribute.
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registry
: Mapping[str, Type[DatasetAttribute]] = mappingproxy({'dataset': <class 'pennylane.data.base.dataset._DatasetAttributeType'>, 'array': <class 'pennylane.data.attributes.array.DatasetArray'>, 'dict': <class 'pennylane.data.attributes.dictionary.DatasetDict'>, 'json': <class 'pennylane.data.attributes.json.DatasetJSON'>, 'list': <class 'pennylane.data.attributes.list.DatasetList'>, 'molecule': <class 'pennylane.data.attributes.molecule.DatasetMolecule'>, 'none': <class 'pennylane.data.attributes.none.DatasetNone'>, 'operator': <class 'pennylane.data.attributes.operator.operator.DatasetOperator'>, 'scalar': <class 'pennylane.data.attributes.scalar.DatasetScalar'>, 'sparse_array': <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, 'string': <class 'pennylane.data.attributes.string.DatasetString'>, 'tuple': <class 'pennylane.data.attributes.tuple.DatasetTuple'>, 'pytree': <class 'pennylane.data.attributes.pytree.DatasetPyTree'>})¶ Maps type_ids to their DatasetAttribute classes.
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type_consumer_registry
: Mapping[type, Type[DatasetAttribute]] = mappingproxy({<class 'pennylane.qchem.molecule.Molecule'>: <class 'pennylane.data.attributes.molecule.DatasetMolecule'>, <class 'NoneType'>: <class 'pennylane.data.attributes.none.DatasetNone'>, <class 'scipy.sparse._bsr.bsr_array'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._coo.coo_array'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._csc.csc_array'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._csr.csr_array'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._dia.dia_array'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._dok.dok_array'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._lil.lil_array'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._csc.csc_matrix'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._csr.csr_matrix'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._bsr.bsr_matrix'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._coo.coo_matrix'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._dia.dia_matrix'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._dok.dok_matrix'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'scipy.sparse._lil.lil_matrix'>: <class 'pennylane.data.attributes.sparse_array.DatasetSparseArray'>, <class 'str'>: <class 'pennylane.data.attributes.string.DatasetString'>, <class 'tuple'>: <class 'pennylane.data.attributes.tuple.DatasetTuple'>})¶ Maps types to their default DatasetAttribute
-
type_id
: ClassVar[str] = 'none'¶
Methods
Returns an iterable of types for which this should be the default codec.
Deserializes the mapped value from
bind
, and also perform a ‘deep-copy’ of any nested values contained inbind
.Returns a valid default value for this type, or
UNSET
if this type must be initialized with a value.Deserializes the mapped value from
bind
.hdf5_to_value
(bind)Returns None.
py_type
(value_type)Determines the
py_type
of an attribute during value initialization, if it was not provided in theinfo
argument.value_to_hdf5
(bind_parent, key, value)Creates an empty HDF5 array under ‘key’.
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classmethod
consumes_types
()[source]¶ Returns an iterable of types for which this should be the default codec. If a value of one of these types is assigned to a Dataset without specifying a type_id, this type will be used.
-
copy_value
()¶ Deserializes the mapped value from
bind
, and also perform a ‘deep-copy’ of any nested values contained inbind
.
-
classmethod
default_value
()[source]¶ Returns a valid default value for this type, or
UNSET
if this type must be initialized with a value.
-
get_value
()¶ Deserializes the mapped value from
bind
.
-
classmethod
py_type
(value_type)¶ Determines the
py_type
of an attribute during value initialization, if it was not provided in theinfo
argument. This method returnsf"{value_type.__module__}.{value_type.__name__}
.
-