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, minimum: int = 1)

Bases: BaseInput

Attributes Summary

deferLoad
dimensions
doc
isCalibration
minimum
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

minimum: int = 1

multiple: bool = False

Methods Documentation

makeDatasetType(universe: DimensionUniverse, parentStorageClass: Optional[Union[StorageClass, str]] = None) → DatasetType

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 or str, optional

Parent storage class for component datasets; None otherwise.

Returns:

datasetTypeDatasetType

The DatasetType defined by this connection.