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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 

from lsst.coadd.utils import setCoaddEdgeBits 

from lsst.pipe.tasks.snapCombine import SnapCombineTask 

 

np.random.seed(1) 

 

 

def makeRandomExposure(width, height, imMean, varMean, maxMask): 

"""Make a random exposure with Poisson distribution for image and variance 

 

@param[in] width image width (pixels) 

@param[in] height image height (pixels) 

@param[in] imMean mean of image plane 

@param[in] varMean mean of variance plane 

@param[in] maxMask maximum mask value; values will be uniformly chosen in [0, maxMask] 

""" 

exp = afwImage.ExposureF(width, height) 

mi = exp.getMaskedImage() 

imArr, maskArr, varArr = mi.getArrays() 

imArr[:, :] = np.random.poisson(imMean, size=imArr.shape) 

varArr[:, :] = np.random.poisson(varMean, size=varArr.shape) 

maskArr[:, :] = np.random.randint(0, maxMask + 1, size=maskArr.shape) 

 

return exp 

 

 

def simpleAdd(exp0, exp1, badPixelMask): 

"""Add two exposures, avoiding bad pixels 

""" 

imArr0, maskArr0, varArr0 = exp0.getMaskedImage().getArrays() 

imArr1, maskArr1, varArr1 = exp1.getMaskedImage().getArrays() 

expRes = exp0.Factory(exp0, True) 

miRes = expRes.getMaskedImage() 

imArrRes, maskArrRes, varArrRes = miRes.getArrays() 

 

weightMap = afwImage.ImageF(exp0.getDimensions()) 

weightArr = weightMap.getArray() 

 

good0 = np.bitwise_and(maskArr0, badPixelMask) == 0 

good1 = np.bitwise_and(maskArr1, badPixelMask) == 0 

 

imArrRes[:, :] = np.where(good0, imArr0, 0) + np.where(good1, imArr1, 0) 

varArrRes[:, :] = np.where(good0, varArr0, 0) + np.where(good1, varArr1, 0) 

maskArrRes[:, :] = np.bitwise_or(np.where(good0, maskArr0, 0), np.where(good1, maskArr1, 0)) 

weightArr[:, :] = np.where(good0, 1, 0) + np.where(good1, 1, 0) 

 

miRes /= weightMap 

miRes *= 2 # want addition, not mean, where both pixels are valid 

 

setCoaddEdgeBits(miRes.getMask(), weightMap) 

 

return expRes 

 

 

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

 

"""A test case for SnapCombineTask.""" 

 

def testAddition(self): 

"""Test addition with bad pixels 

""" 

config = SnapCombineTask.ConfigClass() 

config.doRepair = False 

config.doDiffIm = False 

config.badMaskPlanes = ("BAD", "SAT", "NO_DATA", "CR") 

badPixelMask = afwImage.MaskX.getPlaneBitMask(config.badMaskPlanes) 

task = SnapCombineTask(config=config) 

 

snap0 = makeRandomExposure(25, 25, 10000, 5000, badPixelMask) 

snap1 = makeRandomExposure(25, 25, 10000, 5000, badPixelMask) 

resExp = task.run(snap0, snap1).exposure 

resMi = resExp.getMaskedImage() 

 

predExp = simpleAdd(snap0, snap1, badPixelMask) 

predMi = predExp.getMaskedImage() 

self.assertMaskedImagesAlmostEqual(resMi, predMi) 

 

def testAdditionAllGood(self): 

"""Test the case where all pixels are valid 

""" 

config = SnapCombineTask.ConfigClass() 

config.doRepair = False 

config.doDiffIm = False 

task = SnapCombineTask(config=config) 

 

snap0 = makeRandomExposure(25, 25, 10000, 5000, 0) 

snap1 = makeRandomExposure(25, 25, 10000, 5000, 0) 

resExp = task.run(snap0, snap1).exposure 

resMi = resExp.getMaskedImage() 

 

predMi = snap0.getMaskedImage().Factory(snap0.getMaskedImage(), True) 

predMi += snap1.getMaskedImage() 

self.assertMaskedImagesAlmostEqual(resMi, predMi) 

 

def testMetadata(self): 

"""Test more advanced metadata handling 

""" 

config = SnapCombineTask.ConfigClass() 

config.doRepair = False 

config.doDiffIm = False 

# the MISS<N> keys are missing from metadata<N> 

# and so cannot be summed or averaged 

# MISS0 keys will be copied without alterate 

# MISS1 keys will be missing from the result 

config.averageKeys = ("AVG0", "AVG1", "MISS0AVG", "MISS1AVG") 

config.sumKeys = ("SUM0", "SUM1", "MISS0SUM", "MISS1SUM") 

task = SnapCombineTask(config=config) 

 

snap0 = makeRandomExposure(5, 5, 10000, 5000, 0) 

snap1 = makeRandomExposure(5, 5, 10000, 5000, 0) 

 

metadata0 = snap0.getMetadata() 

metadata1 = snap1.getMetadata() 

metadata0.set("NUM0", 45.2) 

metadata0.set("ASTR", "this is a string") 

metadata0.set("AVG0", 10.5) 

metadata1.set("AVG0", 9.5) 

metadata0.set("AVG1", -0.7) 

metadata1.set("AVG1", 0.2) 

metadata0.set("MISS0AVG", 2.3523) 

metadata1.set("MISS1AVG", 8.23) 

metadata0.set("SUM0", 1.23) 

metadata1.set("SUM0", 4.56) 

metadata0.set("SUM1", 9814) 

metadata1.set("SUM1", 3) 

metadata0.set("MISS0SUM", 75.4) 

metadata1.set("MISS1SUM", -234.3) 

 

allKeys = set(metadata0.names()) | set(metadata1.names()) 

miss0Keys = set(key for key in allKeys if key.startswith("MISS0")) 

miss1Keys = set(key for key in allKeys if key.startswith("MISS1")) 

missKeys = miss0Keys | miss1Keys 

avgKeys = set(config.averageKeys) - missKeys # keys that will be averaged 

sumKeys = set(config.sumKeys) - missKeys # keys that will be summed 

sameKeys = allKeys - (avgKeys | sumKeys | miss1Keys) # keys that will be the same 

 

resExp = task.run(snap0, snap1).exposure 

resMetadata = resExp.getMetadata() 

 

for key in sameKeys: 

self.assertEqual(resMetadata.get(key), metadata0.get(key)) 

for key in avgKeys: 

self.assertAlmostEqual(resMetadata.get(key), ((metadata0.get(key) + metadata1.get(key)) / 2.0)) 

for key in sumKeys: 

self.assertAlmostEqual(resMetadata.get(key), (metadata0.get(key) + metadata1.get(key))) 

for key in miss1Keys: 

self.assertFalse(resMetadata.exists(key)) 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

184 ↛ 185line 184 didn't jump to line 185, because the condition on line 184 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()