Coverage for tests/test_computeExposureSummaryStats.py: 22%
74 statements
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1# This file is part of pipe_tasks.
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.
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22"""Test ComputeExposureSummaryStatsTask.
23"""
24import unittest
26import numpy as np
28import lsst.utils.tests
29from lsst.afw.detection import GaussianPsf
30import lsst.afw.image as afwImage
31import lsst.afw.math as afwMath
32from lsst.daf.base import DateTime
33from lsst.afw.coord import Observatory
34from lsst.afw.geom import makeCdMatrix, makeSkyWcs
35from lsst.pipe.tasks.computeExposureSummaryStats import ComputeExposureSummaryStatsTask
38class ComputeExposureSummaryTestCase(lsst.utils.tests.TestCase):
40 def testComputeExposureSummary(self):
41 """Make a fake exposure and background and compute summary.
42 """
43 np.random.seed(12345)
45 # Make an exposure with a noise image
46 band = "i"
47 physical_filter = "test-i"
48 exposure = afwImage.ExposureF(100, 100)
49 exposure.setFilter(afwImage.FilterLabel(band=band, physical=physical_filter))
51 skyMean = 100.0
52 skySigma = 10.0
53 exposure.getImage().getArray()[:, :] = np.random.normal(skyMean, skySigma, size=(100, 100))
54 exposure.getVariance().getArray()[:, :] = skySigma**2.
56 # Set the visitInfo
57 date = DateTime(date=59234.7083333334, system=DateTime.DateSystem.MJD)
58 observatory = Observatory(-70.7366*lsst.geom.degrees, -30.2407*lsst.geom.degrees,
59 2650.)
60 visitInfo = afwImage.VisitInfo(exposureTime=10.0,
61 date=date,
62 observatory=observatory)
63 exposure.getInfo().setVisitInfo(visitInfo)
65 # Install a Gaussian PSF
66 psfSize = 2.0
67 psf = GaussianPsf(5, 5, psfSize)
68 exposure.setPsf(psf)
70 # Install a simple WCS
71 scale = 0.2*lsst.geom.arcseconds
72 raCenter = 300.0*lsst.geom.degrees
73 decCenter = 0.0*lsst.geom.degrees
74 cdMatrix = makeCdMatrix(scale=scale)
75 skyWcs = makeSkyWcs(crpix=exposure.getBBox().getCenter(),
76 crval=lsst.geom.SpherePoint(raCenter, decCenter),
77 cdMatrix=cdMatrix)
78 exposure.setWcs(skyWcs)
80 # Install a simple photoCalib
81 photoCalib = afwImage.PhotoCalib(calibrationMean=0.3)
82 zp = 2.5*np.log10(photoCalib.getInstFluxAtZeroMagnitude())
83 exposure.setPhotoCalib(photoCalib)
85 # Compute the background image
86 bgGridSize = 10
87 bctrl = afwMath.BackgroundControl(afwMath.Interpolate.NATURAL_SPLINE)
88 bctrl.setNxSample(int(exposure.getMaskedImage().getWidth()/bgGridSize) + 1)
89 bctrl.setNySample(int(exposure.getMaskedImage().getHeight()/bgGridSize) + 1)
90 backobj = afwMath.makeBackground(exposure.getMaskedImage().getImage(), bctrl)
91 background = afwMath.BackgroundList()
92 background.append(backobj)
94 # Configure and run the task
95 expSummaryTask = ComputeExposureSummaryStatsTask()
96 # Configure nominal values for effective time calculation
97 expSummaryTask.config.fiducialZeroPoint = {band: float(zp)}
98 expSummaryTask.config.fiducialPsfSigma = {band: float(psfSize)}
99 expSummaryTask.config.fiducialSkyBackground = {band: float(skyMean)}
100 # Run the task
101 summary = expSummaryTask.run(exposure, None, background)
103 # Test the outputs
104 self.assertFloatsAlmostEqual(summary.psfSigma, psfSize)
105 self.assertFloatsAlmostEqual(summary.psfIxx, psfSize**2.)
106 self.assertFloatsAlmostEqual(summary.psfIyy, psfSize**2.)
107 self.assertFloatsAlmostEqual(summary.psfIxy, 0.0)
108 self.assertFloatsAlmostEqual(summary.psfArea, 23.088975164455444)
110 delta = (scale*50).asDegrees()
111 for a, b in zip(summary.raCorners,
112 [raCenter.asDegrees() + delta, raCenter.asDegrees() - delta,
113 raCenter.asDegrees() - delta, raCenter.asDegrees() + delta]):
114 self.assertFloatsAlmostEqual(a, b, atol=1e-10)
115 for a, b in zip(summary.decCorners,
116 [decCenter.asDegrees() - delta, decCenter.asDegrees() - delta,
117 decCenter.asDegrees() + delta, decCenter.asDegrees() + delta]):
118 self.assertFloatsAlmostEqual(a, b, atol=1e-10)
120 self.assertFloatsAlmostEqual(summary.ra, raCenter.asDegrees(), atol=1e-10)
121 self.assertFloatsAlmostEqual(summary.dec, decCenter.asDegrees(), atol=1e-10)
123 self.assertFloatsAlmostEqual(summary.zeroPoint, zp)
125 # Need to compare background level and noise
126 # These are only approximately 0+/-10 because of the small image
127 self.assertFloatsAlmostEqual(summary.skyBg, skyMean, rtol=1e-3)
128 self.assertFloatsAlmostEqual(summary.meanVar, skySigma**2.)
130 self.assertFloatsAlmostEqual(summary.zenithDistance, 30.57112, atol=1e-5)
132 # Effective exposure time
133 self.assertFloatsAlmostEqual(summary.effTime, 1.0, rtol=1e-3)
136class MyMemoryTestCase(lsst.utils.tests.MemoryTestCase):
137 pass
140def setup_module(module):
141 lsst.utils.tests.init()
144if __name__ == "__main__": 144 ↛ 145line 144 didn't jump to line 145, because the condition on line 144 was never true
145 lsst.utils.tests.init()
146 unittest.main()