PatchMatchedPreparationTaskConnections¶
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class
lsst.faro.preparation.
PatchMatchedPreparationTaskConnections
(*, config=None)¶ Bases:
lsst.faro.base.MatchedBaseTaskConnections
Attributes Summary
Methods Summary
adjustQuantum
(datasetRefMap, …)Override to make adjustments to lsst.daf.butler.DatasetRef
objects in thelsst.daf.butler.core.Quantum
during the graph generation stage of the activator.buildDatasetRefs
(quantum)Builds QuantizedConnections corresponding to input Quantum Attributes Documentation
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allConnections
= {'astromCalibs': Input(name='{wcsName}', storageClass='Wcs', doc='WCS for the catalog.', multiple=True, dimensions=('instrument', 'visit', 'detector', 'band'), isCalibration=False, deferLoad=False), 'externalPhotoCalibGlobalCatalog': Input(name='{externalPhotoCalibName}PhotoCalibCatalog', storageClass='ExposureCatalog', doc='Per-visit photometric calibrations computed globally (with no tract information). These catalogs use the detector id for the catalog id, sorted on id for fast lookup.', multiple=True, dimensions=('instrument', 'visit', 'band'), isCalibration=False, deferLoad=False), 'externalPhotoCalibTractCatalog': Input(name='{externalPhotoCalibName}PhotoCalibCatalog', storageClass='ExposureCatalog', doc='Per-tract, per-visit photometric calibrations. These catalogs use the detector id for the catalog id, sorted on id for fast lookup.', multiple=True, dimensions=('instrument', 'visit', 'tract', 'band'), isCalibration=False, deferLoad=False), 'externalSkyWcsGlobalCatalog': Input(name='{externalWcsName}SkyWcsCatalog', storageClass='ExposureCatalog', doc='Per-visit wcs calibrations computed globally (with no tract information). These catalogs use the detector id for the catalog id, sorted on id for fast lookup.', multiple=True, dimensions=('instrument', 'visit', 'band'), isCalibration=False, deferLoad=False), 'externalSkyWcsTractCatalog': Input(name='{externalWcsName}SkyWcsCatalog', storageClass='ExposureCatalog', doc='Per-tract, per-visit wcs calibrations. These catalogs use the detector id for the catalog id, sorted on id for fast lookup.', multiple=True, dimensions=('instrument', 'visit', 'tract', 'band'), isCalibration=False, deferLoad=False), 'outputCatalog': Output(name='matchedCatalogPatch', storageClass='SimpleCatalog', doc='Resulting matched catalog.', multiple=False, dimensions=('tract', 'patch', 'instrument', 'band'), isCalibration=False), 'photoCalibs': Input(name='{photoCalibName}', storageClass='PhotoCalib', doc='Photometric calibration object.', multiple=True, dimensions=('instrument', 'visit', 'detector', 'band'), isCalibration=False, deferLoad=False), 'skyMap': Input(name='skyMap', storageClass='SkyMap', doc='Input definition of geometry/bbox and projection/wcs for warped exposures', multiple=False, dimensions=('skymap',), isCalibration=False, deferLoad=False), 'sourceCatalogs': Input(name='src', storageClass='SourceCatalog', doc='Source catalogs to match up.', multiple=True, dimensions=('instrument', 'visit', 'detector', 'band'), isCalibration=False, deferLoad=False)}¶
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astromCalibs
¶
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defaultTemplates
= {'coaddName': 'deep', 'externalPhotoCalibName': 'fgcm', 'externalWcsName': 'jointcal', 'photoCalibName': 'calexp.photoCalib', 'wcsName': 'calexp.wcs'}¶
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dimensions
= {'skymap', 'instrument', 'patch', 'tract', 'band'}¶
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externalPhotoCalibGlobalCatalog
¶
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externalPhotoCalibTractCatalog
¶
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externalSkyWcsGlobalCatalog
¶
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externalSkyWcsTractCatalog
¶
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initInputs
= frozenset()¶
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initOutputs
= frozenset()¶
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inputs
= frozenset({'externalSkyWcsGlobalCatalog', 'astromCalibs', 'skyMap', 'externalSkyWcsTractCatalog', 'externalPhotoCalibTractCatalog', 'externalPhotoCalibGlobalCatalog', 'sourceCatalogs', 'photoCalibs'})¶
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outputCatalog
¶
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outputs
= frozenset({'outputCatalog'})¶
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photoCalibs
¶
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prerequisiteInputs
= frozenset()¶
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skyMap
¶
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sourceCatalogs
¶
Methods Documentation
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adjustQuantum
(datasetRefMap: lsst.daf.butler.core.named.NamedKeyDict[lsst.daf.butler.core.datasets.type.DatasetType, typing.Set[lsst.daf.butler.core.datasets.ref.DatasetRef]][lsst.daf.butler.core.datasets.type.DatasetType, Set[lsst.daf.butler.core.datasets.ref.DatasetRef]]) → lsst.daf.butler.core.named.NamedKeyDict[lsst.daf.butler.core.datasets.type.DatasetType, typing.Set[lsst.daf.butler.core.datasets.ref.DatasetRef]][lsst.daf.butler.core.datasets.type.DatasetType, Set[lsst.daf.butler.core.datasets.ref.DatasetRef]]¶ Override to make adjustments to
lsst.daf.butler.DatasetRef
objects in thelsst.daf.butler.core.Quantum
during the graph generation stage of the activator.The base class implementation simply checks that input connections with
multiple
set toFalse
have no more than one dataset.Parameters: - datasetRefMap :
NamedKeyDict
Mapping from dataset type to a
set
oflsst.daf.butler.DatasetRef
objects
Returns: - datasetRefMap :
NamedKeyDict
Modified mapping of input with possibly adjusted
lsst.daf.butler.DatasetRef
objects.
Raises: - ScalarError
Raised if any
Input
orPrerequisiteInput
connection hasmultiple
set toFalse
, but multiple datasets.- Exception
Overrides of this function have the option of raising an Exception if a field in the input does not satisfy a need for a corresponding pipelineTask, i.e. no reference catalogs are found.
- datasetRefMap :
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buildDatasetRefs
(quantum: lsst.daf.butler.core.quantum.Quantum) → Tuple[lsst.pipe.base.connections.InputQuantizedConnection, lsst.pipe.base.connections.OutputQuantizedConnection]¶ Builds QuantizedConnections corresponding to input Quantum
Parameters: - quantum :
lsst.daf.butler.Quantum
Quantum object which defines the inputs and outputs for a given unit of processing
Returns: - retVal :
tuple
of (InputQuantizedConnection
, OutputQuantizedConnection
) Namespaces mapping attribute names (identifiers of connections) to butler references defined in the inputlsst.daf.butler.Quantum
- quantum :
-