Coverage for tests/test_ShapeUtilities.py: 46%

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/>. 

21 

22import unittest 

23 

24import numpy as np 

25 

26import lsst.geom 

27import lsst.afw.geom 

28import lsst.meas.base 

29import lsst.utils.tests 

30 

31 

32class ShapeTransformMatrixTestCase(lsst.utils.tests.TestCase): 

33 

34 def testIdentity(self): 

35 # A no-op coordinate transform translates to a no-op shape transform 

36 a = lsst.geom.AffineTransform() 

37 np.testing.assert_array_equal(a.getMatrix(), np.identity(3)) 

38 m = lsst.meas.base.makeShapeTransformMatrix(a.getLinear()) 

39 np.testing.assert_array_equal(m, np.identity(3)) 

40 

41 def testVsTransform(self): 

42 # Transforming an ellipse by multiplying by the matrix should be 

43 # equivalent to calling its transform() method. 

44 lt = lsst.geom.LinearTransform.makeRotation(lsst.geom.Angle(np.random.random())) 

45 e = lsst.afw.geom.Quadrupole(np.random.random(), np.random.random(), 

46 np.random.random()) 

47 np.testing.assert_array_almost_equal(np.dot(lsst.meas.base.makeShapeTransformMatrix(lt), 

48 e.getParameterVector()), 

49 e.transform(lt).getParameterVector()) 

50 

51 def testVales(self): 

52 # Test that the analytically-derived correct values are computed 

53 lt = lsst.geom.LinearTransform(np.random.random((2, 2))) 

54 m = lsst.meas.base.makeShapeTransformMatrix(lt) 

55 

56 self.assertEqual(m[0, 0], lt[0, 0]*lt[0, 0]) 

57 self.assertEqual(m[0, 1], lt[0, 1]*lt[0, 1]) 

58 self.assertEqual(m[0, 2], 2*lt[0, 0]*lt[0, 1]) 

59 

60 self.assertEqual(m[1, 0], lt[1, 0]*lt[1, 0]) 

61 self.assertEqual(m[1, 1], lt[1, 1]*lt[1, 1]) 

62 self.assertEqual(m[1, 2], 2*lt[1, 0]*lt[1, 1]) 

63 

64 self.assertEqual(m[2, 0], lt[0, 0]*lt[1, 0]) 

65 self.assertEqual(m[2, 1], lt[0, 1]*lt[1, 1]) 

66 self.assertAlmostEqual(m[2, 2], lt[0, 0]*lt[1, 1] + lt[0, 1]*lt[1, 0], places=14) 

67 

68 

69class TestMemory(lsst.utils.tests.MemoryTestCase): 

70 pass 

71 

72 

73def setup_module(module): 

74 lsst.utils.tests.init() 

75 

76 

77if __name__ == "__main__": 77 ↛ 78line 77 didn't jump to line 78, because the condition on line 77 was never true

78 lsst.utils.tests.init() 

79 unittest.main()