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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.geom 

import lsst.afw.image as afwImage 

import lsst.ip.isr as ipIsr 

 

 

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

 

def setUp(self): 

self.overscanKeyword = "BIASSEC" 

 

def tearDown(self): 

del self.overscanKeyword 

 

def checkOverscanCorrectionY(self, **kwargs): 

bbox = lsst.geom.Box2I(lsst.geom.Point2I(0, 0), 

lsst.geom.Point2I(9, 12)) 

maskedImage = afwImage.MaskedImageF(bbox) 

maskedImage.set(10, 0x0, 1) 

 

dataBox = lsst.geom.Box2I(lsst.geom.Point2I(0, 0), lsst.geom.Extent2I(10, 10)) 

dataImage = afwImage.MaskedImageF(maskedImage, dataBox) 

 

# these should be functionally equivalent 

bbox = lsst.geom.Box2I(lsst.geom.Point2I(0, 10), 

lsst.geom.Point2I(9, 12)) 

biassec = '[1:10,11:13]' 

overscan = afwImage.MaskedImageF(maskedImage, bbox) 

overscan.set(2, 0x0, 1) 

exposure = afwImage.ExposureF(maskedImage, None) 

metadata = exposure.getMetadata() 

metadata.setString(self.overscanKeyword, biassec) 

 

ipIsr.overscanCorrection(dataImage, overscan.getImage(), **kwargs) 

 

height = maskedImage.getHeight() 

width = maskedImage.getWidth() 

for j in range(height): 

for i in range(width): 

if j >= 10: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 0) 

else: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 8) 

 

def checkOverscanCorrectionX(self, **kwargs): 

bbox = lsst.geom.Box2I(lsst.geom.Point2I(0, 0), 

lsst.geom.Point2I(12, 9)) 

maskedImage = afwImage.MaskedImageF(bbox) 

maskedImage.set(10, 0x0, 1) 

 

dataBox = lsst.geom.Box2I(lsst.geom.Point2I(0, 0), lsst.geom.Extent2I(10, 10)) 

dataImage = afwImage.MaskedImageF(maskedImage, dataBox) 

 

# these should be functionally equivalent 

bbox = lsst.geom.Box2I(lsst.geom.Point2I(10, 0), 

lsst.geom.Point2I(12, 9)) 

biassec = '[11:13,1:10]' 

overscan = afwImage.MaskedImageF(maskedImage, bbox) 

overscan.set(2, 0x0, 1) 

 

exposure = afwImage.ExposureF(maskedImage, None) 

metadata = exposure.getMetadata() 

metadata.setString(self.overscanKeyword, biassec) 

 

ipIsr.overscanCorrection(dataImage, overscan.getImage(), **kwargs) 

 

height = maskedImage.getHeight() 

width = maskedImage.getWidth() 

for j in range(height): 

for i in range(width): 

if i >= 10: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 0) 

else: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 8) 

 

def checkOverscanCorrectionSineWave(self, **kwargs): 

"""vertical sine wave along long direction""" 

 

# Full image: (500,100) 

longAxis = 500 

shortAxis = 100 

overscanWidth = 30 

 

bbox = lsst.geom.Box2I(lsst.geom.Point2I(0, 0), 

lsst.geom.Point2I(shortAxis-1, longAxis-1)) 

maskedImage = afwImage.MaskedImageF(bbox) 

maskedImage.set(50.0, 0x0, 1) 

 

# vertical sine wave along long direction 

x = np.linspace(0, 2*3.14159, longAxis) 

a, w = 15, 50*3.14159 

sineWave = 20 + a*np.sin(w*x) 

sineWave = sineWave.astype(int) 

 

fullImage = np.repeat(sineWave, shortAxis).reshape((longAxis, shortAxis)) 

maskedImage.image.array += fullImage 

 

# data part of the full image: (500,70) 

dataBox = lsst.geom.Box2I(lsst.geom.Point2I(0, 0), lsst.geom.Extent2I(shortAxis-overscanWidth, 

longAxis)) 

dataImage = afwImage.MaskedImageF(maskedImage, dataBox) 

# these should be functionally equivalent 

bbox = lsst.geom.Box2I(lsst.geom.Point2I(shortAxis-overscanWidth, 0), 

lsst.geom.Point2I(shortAxis-1, longAxis-1)) 

biassec = '[1:500,71:100]' 

overscan = afwImage.MaskedImageF(maskedImage, bbox) 

overscan.image.array -= 50.0 # subtract initial pedestal 

 

exposure = afwImage.ExposureF(maskedImage, None) 

metadata = exposure.getMetadata() 

metadata.setString(self.overscanKeyword, biassec) 

 

ipIsr.overscanCorrection(dataImage, overscan.getImage(), **kwargs) 

 

height = maskedImage.getHeight() 

width = maskedImage.getWidth() 

 

for j in range(height): 

for i in range(width): 

if i >= 70: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 0.0) 

else: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 50.0) 

 

def test_MedianPerRowOverscanCorrection(self): 

self.checkOverscanCorrectionY(fitType="MEDIAN_PER_ROW") 

self.checkOverscanCorrectionY(fitType="MEDIAN_PER_ROW") 

self.checkOverscanCorrectionSineWave(fitType="MEDIAN_PER_ROW") 

 

def test_MedianOverscanCorrection(self): 

self.checkOverscanCorrectionY(fitType="MEDIAN") 

self.checkOverscanCorrectionX(fitType="MEDIAN") 

 

def checkPolyOverscanCorrectionX(self, **kwargs): 

bbox = lsst.geom.Box2I(lsst.geom.Point2I(0, 0), 

lsst.geom.Point2I(12, 9)) 

maskedImage = afwImage.MaskedImageF(bbox) 

maskedImage.set(10, 0x0, 1) 

 

dataBox = lsst.geom.Box2I(lsst.geom.Point2I(0, 0), lsst.geom.Extent2I(10, 10)) 

dataImage = afwImage.MaskedImageF(maskedImage, dataBox) 

# these should be functionally equivalent 

bbox = lsst.geom.Box2I(lsst.geom.Point2I(10, 0), 

lsst.geom.Point2I(12, 9)) 

overscan = afwImage.MaskedImageF(maskedImage, bbox) 

overscan.set(2, 0x0, 1) 

for i in range(bbox.getDimensions()[1]): 

for j, off in enumerate([-0.5, 0.0, 0.5]): 

overscan.image[j, i, afwImage.LOCAL] = 2+i+off 

ipIsr.overscanCorrection(dataImage, overscan.getImage(), **kwargs) 

 

height = maskedImage.getHeight() 

width = maskedImage.getWidth() 

for j in range(height): 

for i in range(width): 

if i == 10: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], -0.5) 

elif i == 11: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 0) 

elif i == 12: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 0.5) 

else: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 10 - 2 - j) 

 

def checkPolyOverscanCorrectionY(self, **kwargs): 

bbox = lsst.geom.Box2I(lsst.geom.Point2I(0, 0), 

lsst.geom.Point2I(9, 12)) 

maskedImage = afwImage.MaskedImageF(bbox) 

maskedImage.set(10, 0x0, 1) 

 

dataBox = lsst.geom.Box2I(lsst.geom.Point2I(0, 0), lsst.geom.Extent2I(10, 10)) 

dataImage = afwImage.MaskedImageF(maskedImage, dataBox) 

 

# these should be functionally equivalent 

bbox = lsst.geom.Box2I(lsst.geom.Point2I(0, 10), 

lsst.geom.Point2I(9, 12)) 

overscan = afwImage.MaskedImageF(maskedImage, bbox) 

overscan.set(2, 0x0, 1) 

for i in range(bbox.getDimensions()[0]): 

for j, off in enumerate([-0.5, 0.0, 0.5]): 

overscan.image[i, j, afwImage.LOCAL] = 2+i+off 

 

ipIsr.overscanCorrection(dataImage, overscan.getImage(), **kwargs) 

 

height = maskedImage.getHeight() 

width = maskedImage.getWidth() 

for j in range(height): 

for i in range(width): 

if j == 10: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], -0.5) 

elif j == 11: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 0) 

elif j == 12: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 0.5) 

else: 

self.assertEqual(maskedImage.image[i, j, afwImage.LOCAL], 10 - 2 - i) 

 

def testPolyOverscanCorrection(self): 

for fitType in ("POLY", "CHEB", "LEG"): 

self.checkPolyOverscanCorrectionX(fitType=fitType) 

self.checkPolyOverscanCorrectionY(fitType=fitType) 

 

def testSplineOverscanCorrection(self): 

for fitType in ("NATURAL_SPLINE", "CUBIC_SPLINE", "AKIMA_SPLINE"): 

self.checkPolyOverscanCorrectionX(fitType=fitType, order=5) 

self.checkPolyOverscanCorrectionY(fitType=fitType, order=5) 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

242 ↛ 243line 242 didn't jump to line 243, because the condition on line 242 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()