Input

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

Bases: lsst.pipe.base.connectionTypes.BaseInput

Attributes Summary

deferLoad
dimensions
doc
isCalibration
multiple

Methods Summary

makeDatasetType(universe[, parentStorageClass])

Construct a true DatasetType instance with normalized dimensions.

Attributes Documentation

deferLoad: bool = False

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.