def _checkDoRefcats(self, doAstrometry, doPhotoCal, ids):
"""Test whether run is called with the correct arguments.
In the case of `CalibrateTask`, the inputs should not depend on the
task configuration.
Parameters
----------
doAstrometry, doPhotoCal : `bool`
Values of the config flags of the same name.
ids : `dict` [`str`]
A mapping from the input dataset type to the data ID of the
dataset to process.
"""
config = CalibrateConfig()
config.doWriteMatches = False # no real output to write
config.doAstrometry = doAstrometry
config.doPhotoCal = doPhotoCal
config.connections.photoRefCat = "cal_ref_cat"
config.connections.astromRefCat = "cal_ref_cat"
task = CalibrateTask(config=config)
quantumId = ids["exposure"]
quantum = testUtils.makeQuantum(task, self.butler, quantumId, ids)
run = testUtils.runTestQuantum(task, self.butler, quantum)
run.assert_called_once()
self.assertEqual(run.call_args[0], ())
# Some arguments unprintable because we don't have a full environment
# So just check which ones were passed in
self.assertEqual(
run.call_args[1].keys(),
{"exposure", "exposureIdInfo", "background", "icSourceCat"})
