lsst.ip.isr.isrTask Namespace Reference

Classes
class	IsrTaskConnections
class	IsrTaskConfig
class	IsrTask
class	FakeAmp
class	RunIsrConfig
class	RunIsrTask

Functions
def	crosstalkSourceLookup (datasetType, registry, quantumDataId, collections)

Function Documentation

crosstalkSourceLookup()

def lsst.ip.isr.isrTask.crosstalkSourceLookup	(		datasetType,
			registry,
			quantumDataId,
			collections
	)

Lookup function to identify crosstalkSource entries.

This should return an empty list under most circumstances.  Only
when inter-chip crosstalk has been identified should this be
populated.

This will be unused until DM-25348 resolves the quantum graph
generation issue.

Parameters
----------
datasetType : `str`
    Dataset to lookup.
registry : `lsst.daf.butler.Registry`
    Butler registry to query.
quantumDataId : `lsst.daf.butler.ExpandedDataCoordinate`
    Data id to transform to identify crosstalkSources.  The
    ``detector`` entry will be stripped.
collections : `lsst.daf.butler.CollectionSearch`
    Collections to search through.

Returns
-------
results : `list` [`lsst.daf.butler.DatasetRef`]
    List of datasets that match the query that will be used as
    crosstalkSources.

Definition at line 62 of file isrTask.py.

def crosstalkSourceLookup(datasetType, registry, quantumDataId, collections):
    """Lookup function to identify crosstalkSource entries.
 
    This should return an empty list under most circumstances.  Only
    when inter-chip crosstalk has been identified should this be
    populated.
 
    This will be unused until DM-25348 resolves the quantum graph
    generation issue.
 
    Parameters
    ----------
    datasetType : `str`
        Dataset to lookup.
    registry : `lsst.daf.butler.Registry`
        Butler registry to query.
    quantumDataId : `lsst.daf.butler.ExpandedDataCoordinate`
        Data id to transform to identify crosstalkSources.  The
        ``detector`` entry will be stripped.
    collections : `lsst.daf.butler.CollectionSearch`
        Collections to search through.
 
    Returns
    -------
    results : `list` [`lsst.daf.butler.DatasetRef`]
        List of datasets that match the query that will be used as
        crosstalkSources.
    """
    newDataId = quantumDataId.subset(DimensionGraph(registry.dimensions, names=["instrument", "exposure"]))
    results = list(registry.queryDatasets(datasetType,
                                          collections=collections,
                                          dataId=newDataId,
                                          findFirst=True,
                                          ).expanded())
    return results