Coverage for tests/test_psfCandidateSelection.py : 38%

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# # LSST Data Management System # Copyright 2008-2017 AURA/LSST # # This product includes software developed by the # LSST Project (http://www.lsst.org/). # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the LSST License Statement and # the GNU General Public License along with this program. If not, # see <http://www.lsstcorp.org/LegalNotices/>. #
# Load sample input from disk expPath = os.path.join(getPackageDir("pipe_tasks"), "tests", "data", "v695833-e0-c000-a00.sci.fits") self.exposure = afwImage.ExposureF(expPath) # set log level so that warnings do not display Log.getLogger("characterizeImage").setLevel(Log.ERROR)
del self.exposure
# Test that all of the flags are defined and there is no reservation by default # also test that used sources are a subset of candidate sources task = CharacterizeImageTask() results = task.run(self.exposure) used = 0 reserved = 0 for source in results.sourceCat: if source.get("calib_psf_used"): used += 1 self.assertTrue(source.get("calib_psf_candidate")) if source.get("calib_psf_reserved"): reserved += 1 self.assertGreater(used, 0) self.assertEqual(reserved, 0)
lsst.utils.tests.init()
lsst.utils.tests.init() unittest.main() |