Coverage for tests/test_denormalizeMatches.py : 23%

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# This file is part of meas_astrom. # # Developed for the LSST Data Management System. # This product includes software developed by the LSST Project # (https://www.lsst.org). # See the COPYRIGHT file at the top-level directory of this distribution # for details of code ownership. # # 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 GNU General Public License # along with this program. If not, see <https://www.gnu.org/licenses/>.
"""Test the behaviour of the denormalizedMatches function"""
"""Check that denormalizeMatches works
We create reference and source catalogs, generate matches, run denormalizeMatches and verify that the results are as expected (this includes checking that alias maps from the input catalogs are propagated to the "match" catalog).
Parameters ---------- refType : `str` Type of reference catalog/table; "Simple" or "Source". srcType : `str` Type of source catalog/table; "Simple" or "Source". MatchClass : `type` Class for match; should be suitable for the refType and srcType. """ refSchema = getattr(lsst.afw.table, refType + "Table").makeMinimalSchema() refCat = getattr(lsst.afw.table, refType + "Catalog")(refSchema) for ii in range(num): ref = refCat.addNew() ref.set("id", ii)
srcSchema = getattr(lsst.afw.table, srcType + "Table").makeMinimalSchema() aliasDict = dict(srcIdAlias="id", srcCoordAlias="coord") for k, v in aliasDict.items(): # Add some aliases to srcSchema's aliasMap srcSchema.getAliasMap().set(k, v)
srcCat = getattr(lsst.afw.table, srcType + "Catalog")(srcSchema) for ii in range(2*num, num, -1): src = srcCat.addNew() src.set("id", ii) src.set("coord_ra", 100.0*degrees) # Arbitrary numbers to avoid NANs for checking dereference src.set("coord_dec", 1.0*degrees)
matches = [MatchClass(ref, src, ref.get("id")) for ref, src in zip(refCat, srcCat)] catalog = denormalizeMatches(matches) for row, ref, src in zip(catalog, refCat, srcCat): self.assertEqual(row.get("ref_id"), ref.get("id")) self.assertEqual(row.get("src_id"), src.get("id")) self.assertEqual(row.get("distance"), ref.get("id")) self.assertEqual(row.get("src_srcIdAlias"), row.get("src_id")) # intra-catalog check self.assertEqual(row.get("src_srcIdAlias"), src.get("id")) # inter-catalog check self.assertEqual(row.get("src_srcCoordAlias_ra"), src.get("coord_ra")) # inter-catalog check self.assertEqual(row.get("src_srcCoordAlias_dec"), src.get("coord_dec")) # inter-catalog check
"""Test denormalizeMatches for various types""" for args in (("Simple", "Simple", lsst.afw.table.SimpleMatch), ("Simple", "Source", lsst.afw.table.ReferenceMatch), ("Source", "Source", lsst.afw.table.SourceMatch), ): self.checkDenormalizeMatches(*args)
lsst.utils.tests.init()
setup_module(sys.modules[__name__]) unittest.main() |