Coverage for tests/test_association_task.py: 25%

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1# This file is part of ap_association. 

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 numpy as np 

23import pandas as pd 

24import unittest 

25 

26import lsst.geom as geom 

27import lsst.utils.tests 

28 

29from lsst.ap.association import AssociationTask 

30 

31 

32class TestAssociationTask(unittest.TestCase): 

33 

34 def setUp(self): 

35 """Create sets of diaSources and diaObjects. 

36 """ 

37 rng = np.random.default_rng(1234) 

38 self.nObjects = 5 

39 scatter = 0.1/3600 

40 self.diaObjects = pd.DataFrame(data=[ 

41 {"ra": 0.04*(idx + 1), "decl": 0.04*(idx + 1), 

42 "diaObjectId": idx + 1} 

43 for idx in range(self.nObjects)]) 

44 self.diaObjects.set_index("diaObjectId", drop=False, inplace=True) 

45 self.nSources = 5 

46 self.diaSources = pd.DataFrame(data=[ 

47 {"ra": 0.04*idx + scatter*rng.uniform(-1, 1), 

48 "decl": 0.04*idx + scatter*rng.uniform(-1, 1), 

49 "diaSourceId": idx + 1 + self.nObjects, "diaObjectId": 0} 

50 for idx in range(self.nSources)]) 

51 self.diaSourceZeroScatter = pd.DataFrame(data=[ 

52 {"ra": 0.04*idx, 

53 "decl": 0.04*idx, 

54 "diaSourceId": idx + 1 + self.nObjects, "diaObjectId": 0} 

55 for idx in range(self.nSources)]) 

56 

57 def test_run(self): 

58 """Test the full task by associating a set of diaSources to 

59 existing diaObjects. 

60 """ 

61 assocTask = AssociationTask() 

62 results = assocTask.run(self.diaSources, self.diaObjects) 

63 

64 self.assertEqual(results.nUpdatedDiaObjects, len(self.diaObjects) - 1) 

65 self.assertEqual(results.nUnassociatedDiaObjects, 1) 

66 for test_obj_id, expected_obj_id in zip( 

67 results.diaSources["diaObjectId"].to_numpy(), 

68 [0, 1, 2, 3, 4]): 

69 self.assertEqual(test_obj_id, expected_obj_id) 

70 

71 def test_run_no_existing_objects(self): 

72 """Test the run method with a completely empty database. 

73 """ 

74 assocTask = AssociationTask() 

75 results = assocTask.run( 

76 self.diaSources, 

77 pd.DataFrame(columns=["ra", "decl", "diaObjectId"])) 

78 self.assertEqual(results.nUpdatedDiaObjects, 0) 

79 self.assertEqual(results.nUnassociatedDiaObjects, 0) 

80 self.assertTrue(np.all(results.diaSources["diaObjectId"] == 0)) 

81 

82 def test_associate_sources(self): 

83 """Test the performance of the associate_sources method in 

84 AssociationTask. 

85 """ 

86 assoc_task = AssociationTask() 

87 assoc_result = assoc_task.associate_sources( 

88 self.diaObjects, self.diaSources) 

89 

90 for test_obj_id, expected_obj_id in zip( 

91 assoc_result.diaSources["diaObjectId"].to_numpy(), 

92 [0, 1, 2, 3, 4]): 

93 self.assertEqual(test_obj_id, expected_obj_id) 

94 

95 def test_score_and_match(self): 

96 """Test association between a set of sources and an existing 

97 DIAObjectCollection. 

98 """ 

99 

100 assoc_task = AssociationTask() 

101 score_struct = assoc_task.score(self.diaObjects, 

102 self.diaSourceZeroScatter, 

103 1.0 * geom.arcseconds) 

104 self.assertFalse(np.isfinite(score_struct.scores[0])) 

105 for src_idx in range(1, len(self.diaSources)): 

106 # Our scores should be extremely close to 0 but not exactly so due 

107 # to machine noise. 

108 self.assertAlmostEqual(score_struct.scores[src_idx], 0.0, 

109 places=16) 

110 

111 # After matching each DIAObject should now contain 2 DIASources 

112 # except the last DIAObject in this collection which should be 

113 # newly created during the matching step and contain only one 

114 # DIASource. 

115 match_result = assoc_task.match( 

116 self.diaObjects, self.diaSources, score_struct) 

117 self.assertEqual(match_result.nUpdatedDiaObjects, 4) 

118 self.assertEqual(match_result.nUnassociatedDiaObjects, 1) 

119 

120 def test_remove_nan_dia_sources(self): 

121 """Test removing DiaSources with NaN locations. 

122 """ 

123 self.diaSources.loc[2, "ra"] = np.nan 

124 self.diaSources.loc[3, "decl"] = np.nan 

125 self.diaSources.loc[4, "ra"] = np.nan 

126 self.diaSources.loc[4, "decl"] = np.nan 

127 assoc_task = AssociationTask() 

128 out_dia_sources = assoc_task.check_dia_source_radec(self.diaSources) 

129 self.assertEqual(len(out_dia_sources), len(self.diaSources) - 3) 

130 

131 

132class MemoryTester(lsst.utils.tests.MemoryTestCase): 

133 pass 

134 

135 

136def setup_module(module): 

137 lsst.utils.tests.init() 

138 

139 

140if __name__ == "__main__": 140 ↛ 141line 140 didn't jump to line 141, because the condition on line 140 was never true

141 lsst.utils.tests.init() 

142 unittest.main()