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# 

# LSST Data Management System 

# Copyright 2008-2017 AURA/LSST. 

# 

# 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/>. 

# 

 

from contextlib import contextmanager 

import unittest 

 

import lsst.geom 

import lsst.daf.base 

import lsst.meas.base 

import lsst.utils.tests 

 

from lsst.meas.base.tests import AlgorithmTestCase 

 

 

@contextmanager 

def onlyLogFatal(log): 

""" 

For the duration of the context, only log FATAL errors. 

 

This is convenient when testing algorithms under failure conditions: we 

want to be able to check that they have set appropriate flags without 

spewing alarming & confusing error messages to the console. 

""" 

oldLevel = log.getThreshold() 

log.setThreshold(log.FATAL) 

try: 

yield 

finally: 

log.setThreshold(oldLevel) 

 

 

class BlendednessTestCase(AlgorithmTestCase, lsst.utils.tests.TestCase): 

 

def setUp(self): 

self.center = lsst.geom.Point2D(50.1, 49.8) 

self.bbox = lsst.geom.Box2I(lsst.geom.Point2I(1, 4), 

lsst.geom.Extent2I(110, 160)) 

self.dataset = lsst.meas.base.tests.TestDataset(self.bbox) 

with self.dataset.addBlend() as family: 

family.addChild(flux=2E5, centroid=lsst.geom.Point2D(47, 33)) 

family.addChild(flux=1.5E5, centroid=lsst.geom.Point2D(53, 31)) 

 

def tearDown(self): 

del self.center 

del self.bbox 

del self.dataset 

 

def testAbsExpectation(self): 

f = lsst.meas.base.BlendednessAlgorithm.computeAbsExpectation 

# comparison values computed with Mathematica 

self.assertFloatsAlmostEqual(f(-1.0, 1.5**2), 0.897767011, rtol=1E-5) 

self.assertFloatsAlmostEqual(f(0.0, 1.5**2), 1.19682684, rtol=1E-5) 

self.assertFloatsAlmostEqual(f(1.0, 1.5**2), 1.64102639, rtol=1E-5) 

self.assertFloatsAlmostEqual(f(-1.0, 0.3**2), 0.0783651228, rtol=1E-5) 

self.assertFloatsAlmostEqual(f(0.0, 0.3**2), 0.239365368, rtol=1E-5) 

self.assertFloatsAlmostEqual(f(1.0, 0.3**2), 1.00046288, rtol=1E-5) 

 

def testAbsBias(self): 

f = lsst.meas.base.BlendednessAlgorithm.computeAbsBias 

# comparison values computed with Mathematica 

self.assertFloatsAlmostEqual(f(0.0, 1.5**2), 1.19682684, rtol=1E-5) 

self.assertFloatsAlmostEqual(f(0.5, 1.5**2), 0.762708343, rtol=1E-5) 

self.assertFloatsAlmostEqual(f(1.0, 1.5**2), 0.453358941, rtol=1E-5) 

self.assertFloatsAlmostEqual(f(0.0, 0.3**2), 0.239365368, rtol=1E-5) 

self.assertFloatsAlmostEqual(f(0.5, 0.3**2), 0.011895931, rtol=1E-5) 

self.assertFloatsAlmostEqual(f(1.0, 0.3**2), 0.0000672467314, rtol=1E-5) 

 

def testBlendedness(self): 

""" 

Check that we measure a positive blendedness for two overlapping sources 

""" 

task = self.makeSingleFrameMeasurementTask("base_Blendedness") 

exposure, catalog = self.dataset.realize(10.0, task.schema, randomSeed=0) 

task.run(catalog, exposure) 

self.assertGreater(catalog[1].get('base_Blendedness_abs_flux'), 0) 

self.assertGreater(catalog[2].get('base_Blendedness_abs_flux'), 0) 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

106 ↛ 107line 106 didn't jump to line 107, because the condition on line 106 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()