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, …) Construct a true DatasetType instance with normalized dimensions.

Attributes Documentation

dimensions = ()¶

doc = ''¶

isCalibration = False¶

multiple = False¶

Methods Documentation

makeDatasetType(universe: lsst.daf.butler.core.dimensions._universe.DimensionUniverse, parentStorageClass: Union[lsst.daf.butler.core.storageClass.StorageClass, str, None] = None) → lsst.daf.butler.core.datasets.type.DatasetType¶

Construct a true DatasetType instance with normalized dimensions.

Parameters:	universe : `lsst.daf.butler.DimensionUniverse` Set of all known dimensions to be used to normalize the dimension names specified in config. parentStorageClass : `lsst.daf.butler.StorageClass` or `str`, optional Parent storage class for component datasets; `None` otherwise.
Returns:	datasetType : `DatasetType` The `DatasetType` defined by this connection.

Navigation

Output¶