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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/>.
#
#
# The classes in this test are a little non-standard to reduce code
# duplication and support automated unittest discovery.
# A base class includes all the code that implements the testing and
# itself inherits from unittest.TestCase. unittest automated discovery
# will scan all classes that inherit from unittest.TestCase and invoke
# any test methods found. To prevent this base class from being executed
# the test methods are placed in a different class that does not inherit
# from unittest.TestCase. The actual test classes then inherit from
# both the testing class and the implementation class allowing test
# discovery to only run tests found in the subclasses.
import unittest
import numpy as np
import lsst.utils.tests
import lsst.geom
import lsst.afw.geom as afwGeom
import lsst.afw.table as afwTable
from lsst.meas.algorithms import LoadReferenceObjectsTask
from lsst.meas.base import SingleFrameMeasurementTask
from lsst.meas.astrom import setMatchDistance
class BaseTestCase(unittest.TestCase):
"""A test case for setMatchDistance
Use involves setting one class attribute:
* MatchClass: match class, e.g. ReferenceMatch or SourceMatch
This test is a bit messy because it exercises two templates of MatchClass
The test creates source and reference object catalogs that intentionally have
some separation in on-sky coordinates. The reference catalog is set using
a uniform grid of pixel positions and a simple WCS to compute on-sky coordinates.
The source catalog is created by using a distorted version of the same grid
of pixel positions, which is converted to on-sky coordinates using the same WCS.
"""
MatchClass = None
def setUp(self):
crval = lsst.geom.SpherePoint(44, 45, lsst.geom.degrees)
crpix = lsst.geom.PointD(0, 0)
scale = 1 * lsst.geom.arcseconds
self.tanWcs = afwGeom.makeSkyWcs(crpix=crpix, crval=crval,
cdMatrix=afwGeom.makeCdMatrix(scale=scale))
S = 300
N = 5
if self.MatchClass == afwTable.ReferenceMatch:
refSchema = LoadReferenceObjectsTask.makeMinimalSchema(
filterNameList=["r"], addFluxSigma=True, addIsPhotometric=True)
self.refCat = afwTable.SimpleCatalog(refSchema)
78 ↛ 82line 78 didn't jump to line 82, because the condition on line 78 was never false elif self.MatchClass == afwTable.SourceMatch:
refSchema = afwTable.SourceTable.makeMinimalSchema()
self.refCat = afwTable.SourceCatalog(refSchema)
else:
raise RuntimeError("Unsupported MatchClass=%r" % (self.MatchClass,))
srcSchema = afwTable.SourceTable.makeMinimalSchema()
SingleFrameMeasurementTask(schema=srcSchema)
self.refCoordKey = afwTable.CoordKey(refSchema["coord"])
self.srcCoordKey = afwTable.CoordKey(srcSchema["coord"])
self.srcCentroidKey = afwTable.Point2DKey(srcSchema["slot_Centroid"])
self.sourceCat = afwTable.SourceCatalog(srcSchema)
self.origSourceCat = afwTable.SourceCatalog(srcSchema) # undistorted copy
self.matches = []
for i in np.linspace(0., S, N):
for j in np.linspace(0., S, N):
src = self.sourceCat.addNew()
refObj = self.refCat.addNew()
src.set(self.srcCentroidKey, lsst.geom.Point2D(i, j))
c = self.tanWcs.pixelToSky(lsst.geom.Point2D(i, j))
refObj.setCoord(c)
self.matches.append(self.MatchClass(refObj, src, 0.0))
def tearDown(self):
del self.refCat
del self.origSourceCat
del self.sourceCat
del self.matches
del self.tanWcs
def doTest(self, name, func):
"""Apply func(x, y) to each source in self.sourceCat, then set coord, compute and check dist
"""
for refObj, src, d in self.matches:
origPos = src.get(self.srcCentroidKey)
x, y = func(*origPos)
distortedPos = lsst.geom.Point2D(*func(*origPos))
src.set(self.srcCentroidKey, distortedPos)
src.set(self.srcCoordKey, self.tanWcs.pixelToSky(distortedPos))
setMatchDistance(self.matches)
maxDistErr = 0*lsst.geom.radians
for refObj, source, distRad in self.matches:
sourceCoord = source.get(self.srcCoordKey)
refCoord = refObj.get(self.refCoordKey)
predDist = sourceCoord.separation(refCoord)
distErr = abs(predDist - distRad*lsst.geom.radians)
maxDistErr = max(distErr, maxDistErr)
self.assertLess(maxDistErr.asArcseconds(), 1e-7)
class SideLoadTestCases:
"""Base class implementations of testing methods.
Explicitly does not inherit from unittest.TestCase"""
def testTrivial(self):
"""Add no distortion"""
self.doTest("testTrivial", lambda x, y: (x, y))
def testQuadraticX(self):
"""Add quadratic distortion in x"""
self.doTest("testQuadraticX", lambda x, y: (x + 1e-4*x**2, y))
def testRadial(self):
"""Add radial distortion"""
radialTransform = afwGeom.makeRadialTransform([0, 1.02, 1e-6])
def radialDistortion(x, y):
x, y = radialTransform.applyForward(lsst.geom.Point2D(x, y))
return (x, y)
self.doTest("testRadial", radialDistortion)
# The test classes inherit from two base classes and differ in the match
# class being used.
class SetMatchDistanceTestCaseReferenceMatch(BaseTestCase, SideLoadTestCases):
MatchClass = afwTable.ReferenceMatch
class SetMatchDistanceTestCaseSourceMatch(BaseTestCase, SideLoadTestCases):
MatchClass = afwTable.SourceMatch
class MemoryTester(lsst.utils.tests.MemoryTestCase):
pass
def setup_module(module):
lsst.utils.tests.init()
176 ↛ 177line 176 didn't jump to line 177, because the condition on line 176 was never trueif __name__ == "__main__":
lsst.utils.tests.init()
unittest.main()
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