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import unittest 

 

import lsst.utils.tests 

import lsst.daf.base as dafBase 

from lsst.afw.coord import Observatory, Weather 

import lsst.afw.image as afwImage 

import lsst.geom as geom 

import lsst.ip.diffim as ipDiffim 

import lsst.log.utils as logUtils 

import lsst.meas.algorithms as measAlg 

from lsst.ip.diffim.modelPsfMatch import nextOddInteger 

 

logUtils.traceSetAt("ip.diffim", 4) 

 

 

class PsfMatchTestCases(lsst.utils.tests.TestCase): 

 

def setUp(self): 

self.config = ipDiffim.ModelPsfMatchTask.ConfigClass() 

self.subconfig = self.config.kernel.active 

self.subconfig.scaleByFwhm = False 

self.subconfig.kernelSize = 9 

self.subconfig.kernelSizeMin = 9 

 

self.imsize = 2 * self.subconfig.sizeCellX 

self.ksize = 11 

self.sigma1 = 2.0 

self.sigma2 = 3.7 

self.exp = afwImage.ExposureF(geom.Extent2I(self.imsize, self.imsize)) 

self.exp.setPsf(measAlg.DoubleGaussianPsf(self.ksize, self.ksize, self.sigma1)) 

 

def testTooBig(self): 

"""Test that modelPsfMatchTask raises if kernel size is too big and 

and automatic padding disabled 

""" 

self.config.doAutoPadPsf = False 

self.subconfig.kernelSize = self.ksize 

psf = measAlg.DoubleGaussianPsf(self.ksize, self.ksize, self.sigma2) 

psfMatch = ipDiffim.ModelPsfMatchTask(config=self.config) 

try: 

psfMatch.run(self.exp, psf) 

except Exception: 

pass 

else: 

self.fail() 

 

def testMatch(self): 

for order in (0, 1): 

for ksum in (0.5, 1.0, 2.7): 

self.runMatch(kOrder=order, kSumIn=ksum) 

 

def runMatch(self, kOrder=0, kSumIn=3.7): 

self.subconfig.spatialKernelOrder = kOrder 

 

psf = measAlg.DoubleGaussianPsf(self.ksize, self.ksize, self.sigma2) 

psfMatch = ipDiffim.ModelPsfMatchTask(config=self.config) 

results = psfMatch.run(self.exp, psf, kernelSum=kSumIn) 

 

matchingKernel = results.psfMatchingKernel 

 

kImage = afwImage.ImageD(matchingKernel.getDimensions()) 

kSumOut = matchingKernel.computeImage(kImage, False) 

 

self.assertAlmostEqual(kSumIn, kSumOut) 

 

def testAdjustModelSize(self): 

"""Test that modelPsfMatch correctly adjusts the model PSF dimensions to 

match those of the science PSF. 

""" 

self.config.doAutoPadPsf = False 

psfModel = measAlg.DoubleGaussianPsf(self.ksize + 2, self.ksize + 2, self.sigma2) 

psfMatch = ipDiffim.ModelPsfMatchTask(config=self.config) 

results = psfMatch.run(self.exp, psfModel) 

self.assertEqual(results.psfMatchedExposure.getPsf().computeImage().getDimensions(), 

self.exp.getPsf().computeImage().getDimensions()) 

self.assertEqual(results.psfMatchedExposure.getPsf().getSigma1(), self.sigma2) 

 

def testPadPsf(self): 

"""Test automatic and manual PSF padding 

 

Compare expected Psf size, after padding, to the reference Psf size. 

The reference Psf Size is proxy for the Sciencee Psf size here. 

""" 

psfModel = measAlg.DoubleGaussianPsf(self.ksize, self.ksize, self.sigma2) 

 

# Test automatic padding (doAutoPadPsf is True by default) 

autoPaddedKernel = nextOddInteger(self.subconfig.kernelSize*self.config.autoPadPsfTo) 

psfMatch = ipDiffim.ModelPsfMatchTask(config=self.config) 

results = psfMatch.run(self.exp, psfModel) 

self.assertEqual(results.psfMatchedExposure.getPsf().computeImage().getWidth(), autoPaddedKernel) 

 

# Test manual padding 

self.config.doAutoPadPsf = False 

PAD_EVEN_VALUES = [0, 2, 4] 

for padPix in PAD_EVEN_VALUES: 

self.config.padPsfBy = padPix 

psfMatch = ipDiffim.ModelPsfMatchTask(config=self.config) 

results = psfMatch.run(self.exp, psfModel) 

self.assertEqual(results.psfMatchedExposure.getPsf().computeImage().getWidth(), 

self.ksize + padPix) 

 

PAD_ODD_VALUES = [1, 3, 5] 

for padPix in PAD_ODD_VALUES: 

self.config.padPsfBy = padPix 

psfMatch = ipDiffim.ModelPsfMatchTask(config=self.config) 

with self.assertRaises(ValueError): 

results = psfMatch.run(self.exp, psfModel) 

 

def testPropagateVisitInfo(self): 

"""Test that a PSF-matched exposure preserves the original VisitInfo. 

""" 

self.exp.getInfo().setVisitInfo(makeVisitInfo()) 

psfModel = measAlg.DoubleGaussianPsf(self.ksize + 2, self.ksize + 2, self.sigma2) 

psfMatch = ipDiffim.ModelPsfMatchTask(config=self.config) 

psfMatchedExposure = psfMatch.run(self.exp, psfModel).psfMatchedExposure 

self.assertEqual(psfMatchedExposure.getInfo().getVisitInfo(), 

self.exp.getInfo().getVisitInfo()) 

 

def tearDown(self): 

del self.exp 

del self.subconfig 

 

 

def makeVisitInfo(): 

"""Return a non-NaN visitInfo.""" 

return afwImage.VisitInfo(exposureId=10313423, 

exposureTime=10.01, 

darkTime=11.02, 

date=dafBase.DateTime(65321.1, dafBase.DateTime.MJD, dafBase.DateTime.TAI), 

ut1=12345.1, 

era=45.1*geom.degrees, 

boresightRaDec=geom.SpherePoint(23.1, 73.2, geom.degrees), 

boresightAzAlt=geom.SpherePoint(134.5, 33.3, geom.degrees), 

boresightAirmass=1.73, 

boresightRotAngle=73.2*geom.degrees, 

rotType=afwImage.RotType.SKY, 

observatory=Observatory( 

11.1*geom.degrees, 22.2*geom.degrees, 0.333), 

weather=Weather(1.1, 2.2, 34.5), 

) 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

151 ↛ 152line 151 didn't jump to line 152, because the condition on line 151 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()