Output

class lsst.pipe.base.connectionTypes.Output(name: str, storageClass: str, doc: str = '', multiple: bool = False, dimensions: Iterable[str] = (), isCalibration: bool = False)

Bases: lsst.pipe.base.connectionTypes.DimensionedConnection

Attributes Summary

dimensions
doc
isCalibration
multiple

Methods Summary

makeDatasetType(universe[, parentStorageClass])

Construct a true DatasetType instance with normalized dimensions.

Attributes Documentation

dimensions: Iterable[str] = ()

doc: str = ''

isCalibration: bool = False

multiple: bool = False

Methods Documentation

makeDatasetType(universe: lsst.daf.butler.DimensionUniverse, parentStorageClass: Optional[lsst.daf.butler.StorageClass] = None)

Construct a true DatasetType instance with normalized dimensions.

Parameters

universelsst.daf.butler.DimensionUniverse

Set of all known dimensions to be used to normalize the dimension names specified in config.

parentStorageClasslsst.daf.butler.StorageClass, optional

Parent storage class for component datasets; None otherwise.

Returns

datasetTypeDatasetType

The DatasetType defined by this connection.