Output¶

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

Bases: 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: DimensionUniverse, parentStorageClass: Optional[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.

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Output¶