Coverage for tests/test_Blendedness.py: 33%
47 statements
« prev ^ index » next coverage.py v6.5.0, created at 2022-11-06 21:09 +0000
« prev ^ index » next coverage.py v6.5.0, created at 2022-11-06 21:09 +0000
1# This file is part of meas_base.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (https://www.lsst.org).
6# See the COPYRIGHT file at the top-level directory of this distribution
7# for details of code ownership.
8#
9# This program is free software: you can redistribute it and/or modify
10# it under the terms of the GNU General Public License as published by
11# the Free Software Foundation, either version 3 of the License, or
12# (at your option) any later version.
13#
14# This program is distributed in the hope that it will be useful,
15# but WITHOUT ANY WARRANTY; without even the implied warranty of
16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17# GNU General Public License for more details.
18#
19# You should have received a copy of the GNU General Public License
20# along with this program. If not, see <https://www.gnu.org/licenses/>.
22import unittest
24import lsst.geom
25import lsst.daf.base
26import lsst.meas.base
27import lsst.utils.tests
29from lsst.meas.base.tests import AlgorithmTestCase
32class BlendednessTestCase(AlgorithmTestCase, lsst.utils.tests.TestCase):
34 def setUp(self):
35 self.center = lsst.geom.Point2D(50.1, 49.8)
36 self.bbox = lsst.geom.Box2I(lsst.geom.Point2I(1, 4),
37 lsst.geom.Extent2I(110, 160))
38 self.dataset = lsst.meas.base.tests.TestDataset(self.bbox)
39 with self.dataset.addBlend() as family:
40 family.addChild(instFlux=2E5, centroid=lsst.geom.Point2D(47, 33))
41 family.addChild(instFlux=1.5E5, centroid=lsst.geom.Point2D(53, 31))
43 def tearDown(self):
44 del self.center
45 del self.bbox
46 del self.dataset
48 def testAbsExpectation(self):
49 f = lsst.meas.base.BlendednessAlgorithm.computeAbsExpectation
50 # comparison values computed with Mathematica
51 self.assertFloatsAlmostEqual(f(-1.0, 1.5**2), 0.897767011, rtol=1E-5)
52 self.assertFloatsAlmostEqual(f(0.0, 1.5**2), 1.19682684, rtol=1E-5)
53 self.assertFloatsAlmostEqual(f(1.0, 1.5**2), 1.64102639, rtol=1E-5)
54 self.assertFloatsAlmostEqual(f(-1.0, 0.3**2), 0.0783651228, rtol=1E-5)
55 self.assertFloatsAlmostEqual(f(0.0, 0.3**2), 0.239365368, rtol=1E-5)
56 self.assertFloatsAlmostEqual(f(1.0, 0.3**2), 1.00046288, rtol=1E-5)
58 def testAbsBias(self):
59 f = lsst.meas.base.BlendednessAlgorithm.computeAbsBias
60 # comparison values computed with Mathematica
61 self.assertFloatsAlmostEqual(f(0.0, 1.5**2), 1.19682684, rtol=1E-5)
62 self.assertFloatsAlmostEqual(f(0.5, 1.5**2), 0.762708343, rtol=1E-5)
63 self.assertFloatsAlmostEqual(f(1.0, 1.5**2), 0.453358941, rtol=1E-5)
64 self.assertFloatsAlmostEqual(f(0.0, 0.3**2), 0.239365368, rtol=1E-5)
65 self.assertFloatsAlmostEqual(f(0.5, 0.3**2), 0.011895931, rtol=1E-5)
66 self.assertFloatsAlmostEqual(f(1.0, 0.3**2), 0.0000672467314, rtol=1E-5)
68 def testBlendedness(self):
69 """Test that we measure a positive blendedness for overlapping sources.
70 """
71 task = self.makeSingleFrameMeasurementTask("base_Blendedness")
72 exposure, catalog = self.dataset.realize(10.0, task.schema, randomSeed=0)
73 task.run(catalog, exposure)
74 self.assertGreater(catalog[1].get('base_Blendedness_abs'), 0)
75 self.assertGreater(catalog[2].get('base_Blendedness_abs'), 0)
78class TestMemory(lsst.utils.tests.MemoryTestCase):
79 pass
82def setup_module(module):
83 lsst.utils.tests.init()
86if __name__ == "__main__": 86 ↛ 87line 86 didn't jump to line 87, because the condition on line 86 was never true
87 lsst.utils.tests.init()
88 unittest.main()