Coverage for tests/test_mergeResults.py: 17%

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1# This file is part of cp_verify. 

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 unittest 

24 

25import lsst.utils.tests 

26import lsst.afw.cameraGeom as cameraGeom 

27import lsst.cp.verify as cpVerify 

28 

29 

30class MergeResultsTestCase(lsst.utils.tests.TestCase): 

31 """Unit test for merge code. 

32 """ 

33 

34 def setUp(self): 

35 # Generate a camera. 

36 self.camera = cameraGeom.testUtils.CameraWrapper(isLsstLike=False).camera 

37 

38 # Fix the seed so we can expect consistent results. 

39 np.random.seed(12345) 

40 

41 # Make first exposure 

42 self.detectorResults1 = list() 

43 self.detectorDimensions1 = list() 

44 for detector in self.camera: 

45 dimensions = {'exposure': 1, 'detector': detector.getId()} 

46 self.detectorDimensions1.append(dimensions) 

47 self.detectorResults1.append(self.generateDetectorResults(detector)) 

48 

49 # Make second exposure 

50 self.detectorResults2 = list() 

51 self.detectorDimensions2 = list() 

52 for detector in self.camera: 

53 dimensions = {'exposure': 2, 'detector': detector.getId()} 

54 self.detectorDimensions2.append(dimensions) 

55 self.detectorResults2.append(self.generateDetectorResults(detector)) 

56 

57 def test_merging(self): 

58 """Generate simulated verify statistics, and prove they merge 

59 correctly. 

60 """ 

61 

62 expMergeTask = cpVerify.CpVerifyExpMergeTask() 

63 

64 expResults1 = expMergeTask.run(self.detectorResults1, self.camera, self.detectorDimensions1) 

65 expResults2 = expMergeTask.run(self.detectorResults2, self.camera, self.detectorDimensions2) 

66 self.assertTrue(expResults1.outputStats['SUCCESS']) 

67 self.assertFalse(expResults2.outputStats['SUCCESS']) # Expected to have one failure 

68 

69 # Prep inputs to full calibration run merge. 

70 inputStats = [expResults1.outputStats, expResults2.outputStats] 

71 inputDims = [{'exposure': 1}, {'exposure': 2}] 

72 

73 runMergeTask = cpVerify.CpVerifyRunMergeTask() 

74 

75 runResults = runMergeTask.run(inputStats, inputDims) 

76 self.assertFalse(runResults.outputStats['SUCCESS']) 

77 

78 # We know this one failed. 

79 failureList = runResults.outputStats[2]['FAILURES'] 

80 self.assertEqual(len(failureList), 1) 

81 self.assertEqual(failureList[0], "R:1,0 S:1,0 C:0,2 SIGMA_TEST") 

82 

83 def generateDetectorResults(self, detector, mean=10.0, sigma=1.2, threshold=14.0): 

84 """Make the simulated verify statistics. 

85 

86 Parameters 

87 ---------- 

88 detector : `lsst.afw.cameraGeom.Detector` 

89 Detector geometry to make statistics for. 

90 mean : `float` 

91 Center of the random normal distribution to pull 

92 statistics from. 

93 sigma : `float` 

94 Sigma of the normal distribution. 

95 threshold : `float` 

96 Test threshold above which a test is a "failure". 

97 

98 Returns 

99 ------- 

100 detectorStats : `dict` [`str`, `dict`] 

101 Nested dictionary of verify statistics. 

102 """ 

103 

104 valueNames = ['MEAN', 'SIGMA', 'VALUE'] 

105 

106 ampDict = dict() 

107 detDict = dict() 

108 catDict = dict() 

109 success = True 

110 for amp in detector.getAmplifiers(): 

111 ampName = amp.getName() 

112 ampDict[ampName] = dict() 

113 for value in valueNames: 

114 ampDict[ampName][value] = np.random.normal(10.0, 1.2) 

115 

116 ampVerify = dict() 

117 detVerify = dict() 

118 catVerify = dict() 

119 for ampName in ampDict: 

120 ampVerify[ampName] = dict() 

121 ampSuccess = True 

122 for value in valueNames: 

123 if ampDict[ampName][value] < threshold: 

124 ampVerify[ampName][value + "_TEST"] = True 

125 else: 

126 ampVerify[ampName][value + "_TEST"] = False 

127 ampSuccess = False 

128 success = False 

129 ampVerify[ampName]['SUCCESS'] = ampSuccess 

130 return {'SUCCESS': success, 'AMP': ampDict, 'DET': detDict, 'CATALOG': catDict, 

131 'VERIFY': {'AMP': ampVerify, 'DET': detVerify, 'CATALOG': catVerify}} 

132 

133 

134class MemoryTester(lsst.utils.tests.MemoryTestCase): 

135 pass 

136 

137 

138def setup_module(module): 

139 lsst.utils.tests.init() 

140 

141 

142if __name__ == "__main__": 142 ↛ 143line 142 didn't jump to line 143, because the condition on line 142 was never true

143 lsst.utils.tests.init() 

144 unittest.main()