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# 

# LSST Data Management System 

# Copyright 2008, 2009, 2010 LSST Corporation. 

# 

# This product includes software developed by the 

# LSST Project (http://www.lsst.org/). 

# 

# This program is free software: you can redistribute it and/or modify 

# it under the terms of the GNU General Public License as published by 

# the Free Software Foundation, either version 3 of the License, or 

# (at your option) any later version. 

# 

# This program is distributed in the hope that it will be useful, 

# but WITHOUT ANY WARRANTY; without even the implied warranty of 

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

# GNU General Public License for more details. 

# 

# You should have received a copy of the LSST License Statement and 

# the GNU General Public License along with this program. If not, 

# see <http://www.lsstcorp.org/LegalNotices/>. 

# 

 

import unittest 

 

import numpy as np 

 

import lsst.utils.tests 

import lsst.afw.image as afwImage 

import lsst.afw.geom as afwGeom 

import lsst.afw.table as afwTable 

import lsst.ip.isr as ipIsr 

 

 

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

 

def setUp(self): 

ampInfoShema = afwTable.AmpInfoTable.makeMinimalSchema() 

ampInfoCat = afwTable.AmpInfoCatalog(ampInfoShema) 

ampInfo = ampInfoCat.addNew() 

ampInfo.setRawBBox(afwGeom.Box2I(afwGeom.Point2I(-5, 7), afwGeom.Extent2I(53, 104))) 

ampInfo.setSuspectLevel(25000) 

self.ampInfo = ampInfo 

self.isrTask = ipIsr.IsrTask() 

 

def tearDown(self): 

self.ampInfo = None 

self.isrTask = None 

 

def testBasicMasking(self): 

"""Test that masking works 

""" 

maxVal = 32000 

fracSuspect = 0.3 

suspectLevel = maxVal*(1 - fracSuspect) 

 

bbox = self.ampInfo.getRawBBox() 

self.ampInfo.setSuspectLevel(suspectLevel) 

maskedImage = makeRampMaskedImage(bbox, 0, maxVal) 

imArr = maskedImage.getImage().getArray() 

desSetArr = imArr >= suspectLevel 

exposure = afwImage.ExposureF(maskedImage) 

inMaskedImage = maskedImage.Factory(maskedImage, True) # deep copy 

self.isrTask.suspectDetection(exposure, self.ampInfo) 

maskArr = maskedImage.getMask().getArray() 

suspectMask = maskedImage.getMask().getPlaneBitMask("SUSPECT") 

measSetArr = maskArr == suspectMask 

self.assertImagesEqual(desSetArr, measSetArr) 

self.assertMaskedImagesAlmostEqual(inMaskedImage, maskedImage, doMask=False) 

 

def testNanLevel(self): 

"""Test that setting the suspect level to nan disables masking 

""" 

bbox = self.ampInfo.getRawBBox() 

self.ampInfo.setSuspectLevel(float("nan")) 

maskedImage = makeRampMaskedImage(bbox, 0, 32000) 

exposure = afwImage.ExposureF(maskedImage) 

inMaskedImage = maskedImage.Factory(maskedImage, True) # deep copy 

self.isrTask.suspectDetection(exposure, self.ampInfo) 

self.assertMaskedImagesAlmostEqual(inMaskedImage, maskedImage) 

 

def testRenamedMasking(self): 

"""Test that masking works using some other mask name instead of the default 

""" 

AltMaskName = "BAD" # pick something that exists for simplicity 

 

isrConfig = ipIsr.IsrTask.ConfigClass() 

isrConfig.suspectMaskName = AltMaskName 

isrTask = ipIsr.IsrTask(config=isrConfig) 

 

maxVal = 32000 

fracSuspect = 0.3 

suspectLevel = maxVal*(1 - fracSuspect) 

 

bbox = self.ampInfo.getRawBBox() 

self.ampInfo.setSuspectLevel(suspectLevel) 

maskedImage = makeRampMaskedImage(bbox, 0, maxVal) 

imArr = maskedImage.getImage().getArray() 

desSetArr = imArr >= suspectLevel 

exposure = afwImage.ExposureF(maskedImage) 

inMaskedImage = maskedImage.Factory(maskedImage, True) # deep copy 

isrTask.suspectDetection(exposure, self.ampInfo) 

maskArr = maskedImage.getMask().getArray() 

suspectMask = maskedImage.getMask().getPlaneBitMask(AltMaskName) 

measSetArr = maskArr == suspectMask 

self.assertImagesEqual(desSetArr, measSetArr) 

self.assertMaskedImagesAlmostEqual(inMaskedImage, maskedImage, doMask=False) 

 

 

def makeRampMaskedImage(bbox, minVal, maxVal, imgClass=afwImage.MaskedImageF): 

"""Make a ramp image of the specified size and image class 

 

Image values start from 0 at the lower left corner and increase by 1 along rows 

Variance values equal image values + 100 

Mask values equal 0 

""" 

mi = imgClass(bbox) 

imageArr = mi.getImage().getArray() 

varianceArr = mi.getVariance().getArray() 

maskArr = mi.getMask().getArray() 

imData = np.linspace(minVal, maxVal, imageArr.size) 

imData.shape = (bbox.getHeight(), bbox.getWidth()) 

imageArr[:] = imData 

varianceArr[:] = 100 + imData 

maskArr[:] = 0 

return mi 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

136 ↛ 137line 136 didn't jump to line 137, because the condition on line 136 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()