Input¶
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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
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deferLoad
= False¶
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dimensions
= ()¶
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doc
= ''¶
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isCalibration
= False¶
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multiple
= False¶
Methods Documentation
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makeDatasetType
(universe: lsst.daf.butler.core.dimensions._universe.DimensionUniverse, parentStorageClass: Optional[lsst.daf.butler.core.storageClass.StorageClass] = None)¶ 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
, optional Parent storage class for component datasets;
None
otherwise.
Returns: - datasetType :
DatasetType
The
DatasetType
defined by this connection.
- universe :
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