Coverage for tests/test_coaddBoundedField.py : 16%

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# # LSST Data Management System # Copyright 2008-2017 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 # 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/>. #
"""Make a random TAN Wcs that's complex enough to create an interesting test, by combining random offsets and rotations. We don't include any random scaling, because we don't want the Jacobian to be significantly different from one in these tests, as we want to compare warped images (which implicitly include the Jacobian) against the behavior of CoaddBoundedField (which intentionally does not). """ crpix = lsst.geom.Point2D(*np.random.uniform(low=-maxOffset, high=maxOffset, size=2)) scale = 0.01*lsst.geom.arcseconds orientation = np.pi*np.random.rand()*lsst.geom.radians cdMatrix = lsst.afw.geom.makeCdMatrix(scale=scale, orientation=orientation) return lsst.afw.geom.makeSkyWcs(crpix=crpix, crval=crval, cdMatrix=cdMatrix)
"""Create a random ChebyshevBoundedField""" coefficients = np.random.randn(3, 3) # We add a positive DC offset to make sure our fields more likely to combine constructively; # this makes the test more stringent, because we get less accidental small numbers. coefficients[0, 0] = np.random.uniform(low=4, high=6) return lsst.afw.math.ChebyshevBoundedField(bbox, coefficients)
"""Construct the elements of a CoaddBoundedField.""" np.random.seed(50) validPolygon = lsst.afw.geom.Polygon(lsst.geom.Box2D(validBox)) if validBox else None elements = [] validBoxes = []
for i in range(10): elements.append( lsst.meas.algorithms.CoaddBoundedField.Element( self.makeRandomField(self.elementBBox), self.makeRandomWcs(self.crval), validPolygon, np.random.uniform(low=0.5, high=1.5) ) ) validBoxes.append(validBox) return elements, validBoxes
self.crval = lsst.geom.SpherePoint(45.0, 45.0, lsst.geom.degrees) self.elementBBox = lsst.geom.Box2I(lsst.geom.Point2I(-50, -50), lsst.geom.Point2I(50, 50)) self.coaddWcs = self.makeRandomWcs(self.crval, maxOffset=0.0) self.bbox = lsst.geom.Box2I(lsst.geom.Point2I(-75, -75), lsst.geom.Point2I(75, 75)) self.possibleValidBoxes = (None, lsst.geom.Box2I(lsst.geom.Point2I(-25, -25), lsst.geom.Point2I(25, 25)))
"""Test the main implementation of CoaddBoundedField::evaluate() by creating images of each constituent field, warping them, and coadding them to form a check image.
We run this test twice: once with a regular ValidPolygon, and once with the polygon undefined (ie, set to None); see DM-11008. """ def runTest(elements, validBoxes): field = lsst.meas.algorithms.CoaddBoundedField(self.bbox, self.coaddWcs, elements, 0.0) coaddImage = lsst.afw.image.ImageF(self.bbox) warpCtrl = lsst.afw.math.WarpingControl("bilinear") weightMap = lsst.afw.image.ImageF(self.bbox) for element, validBox in zip(elements, validBoxes): elementImage = (lsst.afw.image.ImageF(validBox) if validBox else lsst.afw.image.ImageF(element.field.getBBox())) element.field.fillImage(elementImage, True) warp = lsst.afw.image.ImageF(self.bbox) lsst.afw.math.warpImage(warp, self.coaddWcs, elementImage, element.wcs, warpCtrl, 0.0) coaddImage.scaledPlus(element.weight, warp) warp.getArray()[warp.getArray() != 0.0] = element.weight weightMap += warp coaddImage /= weightMap coaddImage.getArray()[np.isnan(coaddImage.getArray())] = 0.0 fieldImage = lsst.afw.image.ImageF(self.bbox) field.fillImage(fieldImage)
# The coaddImage we're comparing to has artifacts at the edges of all the input exposures, # due to the interpolation, so we just check that the number of unequal pixels is small (<10%) # This can depend on the random number seed, so if a failure is seen, uncomment the line below # to enable a plot of the differences, and verify by eye that they look like edge artifacts. If # they do, just modify the seed (at the top of this file) or change number-of-pixels threshold # until the test passes.
diff = np.abs(fieldImage.getArray() - coaddImage.getArray()) relTo = np.abs(fieldImage.getArray()) rtol = 1E-2 atol = 1E-7 bad = np.logical_and(diff > rtol*relTo, diff > atol)
if False: # enable this to see a plot of the comparison (but it will always fail, since # it doesn't take into account the artifacts in coaddImage) self.assertFloatsAlmostEqual(fieldImage.getArray(), coaddImage.getArray(), plotOnFailure=True, rtol=rtol, atol=atol, relTo=relTo)
self.assertLess(bad.sum(), 0.10*self.bbox.getArea())
for validBox in self.possibleValidBoxes: elements, validBoxes = self.constructElements(validBox) self.assertNotEqual(elements[0], elements[1]) runTest(elements, validBoxes)
def runTest(elements, validBoxes): field1 = lsst.meas.algorithms.CoaddBoundedField(self.bbox, self.coaddWcs, elements, 0.0) field2 = lsst.meas.algorithms.CoaddBoundedField(self.bbox, self.coaddWcs, elements, 0.0) self.assertEqual(field1, field2)
bbox = lsst.geom.Box2I(lsst.geom.Point2I(-75, -75), lsst.geom.Point2I(75, 75)) field3 = lsst.meas.algorithms.CoaddBoundedField(bbox, self.coaddWcs, elements, 0.0) self.assertEqual(field1, field3)
field4 = lsst.meas.algorithms.CoaddBoundedField(self.bbox, self.coaddWcs, elements, 0.0) self.assertEqual(field1, field4)
# NOTE: make a copy of the list; [:] to copy segfaults, # copy.copy() doesn't behave nicely on py2 w/our pybind11 objects, # and .elements.copy() doesn't exist on py2. elementsCopy = list(elements) field5 = lsst.meas.algorithms.CoaddBoundedField(self.bbox, self.coaddWcs, elementsCopy, 0.0) self.assertEqual(field1, field5)
# inequality tests below here field6 = lsst.meas.algorithms.CoaddBoundedField(self.bbox, self.coaddWcs, elements, 3.0) self.assertNotEqual(field1, field6) field7 = lsst.meas.algorithms.CoaddBoundedField(self.bbox, self.coaddWcs, [], 0.0) self.assertNotEqual(field1, field7)
bbox = lsst.geom.Box2I(lsst.geom.Point2I(-74, -75), lsst.geom.Point2I(75, 75)) field8 = lsst.meas.algorithms.CoaddBoundedField(bbox, self.coaddWcs, elements, 0.0) self.assertNotEqual(field1, field8)
crval = lsst.geom.SpherePoint(45.0, 45.0, lsst.geom.degrees) coaddWcs = self.makeRandomWcs(crval, maxOffset=2.0) field9 = lsst.meas.algorithms.CoaddBoundedField(self.bbox, coaddWcs, elements, 0.0) self.assertNotEqual(field1, field9)
elementsCopy = list(elements) elementsCopy[2].weight = 1000000 field10 = lsst.meas.algorithms.CoaddBoundedField(self.bbox, self.coaddWcs, elementsCopy, 0.0) self.assertNotEqual(field1, field10) elementsCopy = list(elements) elementsCopy.pop(0) field11 = lsst.meas.algorithms.CoaddBoundedField(self.bbox, self.coaddWcs, elementsCopy, 0.0) self.assertNotEqual(field1, field11)
for validBox in self.possibleValidBoxes: runTest(*self.constructElements(validBox))
"""Test that we can round-trip a CoaddBoundedField through FITS.""" def runTest(elements, validBoxes): filename = "testCoaddBoundedField.fits" field1 = lsst.meas.algorithms.CoaddBoundedField(self.bbox, self.coaddWcs, elements, 0.0) field1.writeFits(filename) field2 = lsst.meas.algorithms.CoaddBoundedField.readFits(filename) self.assertEqual(field1, field2) elements2 = field2.getElements() self.assertEqual(elements, elements2) for el1, el2 in zip(elements, elements2): self.assertEqual(el1, el2) self.assertEqual(el1.field, el2.field) self.assertEqual(el1.wcs, el2.wcs) self.assertWcsAlmostEqualOverBBox(el1.wcs, el2.wcs, self.bbox, maxDiffPix=0, maxDiffSky=0*lsst.geom.arcseconds) self.assertEqual(el1.validPolygon, el2.validPolygon) self.assertEqual(el1.weight, el2.weight)
self.assertEqual(field1.getCoaddWcs(), field2.getCoaddWcs()) self.assertWcsAlmostEqualOverBBox(self.coaddWcs, field2.getCoaddWcs(), self.bbox, maxDiffPix=0, maxDiffSky=0*lsst.geom.arcseconds) self.assertEqual(field1.getDefault(), field2.getDefault()) image1 = lsst.afw.image.ImageD(self.bbox) image2 = lsst.afw.image.ImageD(self.bbox) field1.fillImage(image1) field2.fillImage(image2) self.assertImagesEqual(image1, image2) os.remove(filename)
for validBox in self.possibleValidBoxes: runTest(*self.constructElements(validBox))
del self.coaddWcs del self.bbox
lsst.utils.tests.init()
lsst.utils.tests.init() unittest.main() |