SerializedDatasetRefContainerV1

class lsst.daf.butler.SerializedDatasetRefContainerV1(*, container_version: Literal['V1'] = 'V1', universe_version: int, universe_namespace: str, dataset_types: dict[str, lsst.daf.butler._dataset_type.SerializedDatasetType], compact_refs: dict[uuid.UUID, lsst.daf.butler._dataset_ref.MinimalistSerializableDatasetRef], dimension_records: SerializableDimensionData | None = None, **extra_data: Any)

Bases: SerializedDatasetRefContainer

Serializable model for a collection of DatasetRef.

Dimension records are not included.

Attributes Summary

model_config

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Methods Summary

from_refs(refs)	Construct a serializable form from a list of DatasetRef.
to_refs(universe)	Construct the original DatasetRef.

Attributes Documentation

model_config: ClassVar[ConfigDict] = {'extra': 'allow', 'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Methods Documentation

classmethod from_refs(refs: Iterable[DatasetRef]) → Self

Construct a serializable form from a list of DatasetRef.

Parameters:

refsIterable [ DatasetRef ]

The datasets to include in the container.

to_refs(universe: DimensionUniverse) → list[lsst.daf.butler._dataset_ref.DatasetRef]

Construct the original DatasetRef.

Parameters:

universeDimensionUniverse

The universe to use when constructing the DatasetRef.

Returns:

refslist [ DatasetRef ]

The DatasetRef that were serialized.