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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 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.geom 

import lsst.afw.geom 

import lsst.afw.detection 

import lsst.afw.table 

import lsst.meas.base.tests 

import lsst.utils.tests 

 

 

@lsst.meas.base.register("test_NoiseReplacer") 

class NoiseReplacerTestPlugin(lsst.meas.base.SingleFramePlugin): 

"""A measurement plugin that simply sums flux inside and outside the source's footprint.""" 

 

@staticmethod 

def getExecutionOrder(): 

return 2.0 

 

def __init__(self, config, name, schema, metadata): 

lsst.meas.base.SingleFramePlugin.__init__(self, config, name, schema, metadata) 

self.insideKey = schema.addField("%s_inside" % (name,), type=np.float64, doc="flux inside footprint") 

self.outsideKey = schema.addField("%s_outside" % (name,), type=np.float64, 

doc="flux outside footprint") 

 

def measure(self, measRecord, exposure): 

footprint = measRecord.getFootprint() 

fullArray = exposure.getMaskedImage().getImage().getArray() 

insideArray = np.zeros(footprint.getArea(), dtype=fullArray.dtype) 

footprint.spans.flatten(insideArray, fullArray, exposure.getXY0()) 

insideFlux = float(insideArray.sum()) 

outsideFlux = float(fullArray.sum()) - insideFlux 

measRecord.set(self.insideKey, insideFlux) 

measRecord.set(self.outsideKey, outsideFlux) 

 

 

class NoiseReplacerTestCase(lsst.meas.base.tests.AlgorithmTestCase, lsst.utils.tests.TestCase): 

 

def setUp(self): 

self.bbox = lsst.geom.Box2I(lsst.geom.Point2I(-20, -30), 

lsst.geom.Extent2I(240, 260)) 

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

# first source is a point 

self.dataset.addSource(100000.0, lsst.geom.Point2D(50.1, 49.8)) 

# second source is extended 

self.dataset.addSource(120000.0, lsst.geom.Point2D(149.9, 50.3), 

lsst.afw.geom.Quadrupole(8, 9, 3)) 

with self.dataset.addBlend() as family: 

family.addChild(110000.0, lsst.geom.Point2D(65.2, 150.7), 

lsst.afw.geom.Quadrupole(7, 5, -1)) 

family.addChild(140000.0, lsst.geom.Point2D(72.3, 149.1)) 

family.addChild(90000.0, lsst.geom.Point2D(68.5, 156.9)) 

 

def testSingleFrameMeasurement(self): 

"""Test that replacing sources with noise works as used in SingleFrameMeasurementTask, 

by comparing flux inside and outside source Footprints on an extremely high S/N image.""" 

# We choose a random seed which causes the test to pass. 

task = self.makeSingleFrameMeasurementTask("test_NoiseReplacer") 

exposure, catalog = self.dataset.realize(1.0, task.schema, randomSeed=0) 

task.run(catalog, exposure) 

sumVariance = exposure.getMaskedImage().getVariance().getArray().sum() 

for record in catalog: 

self.assertFloatsAlmostEqual(record.get("test_NoiseReplacer_inside"), 

record.get("truth_flux"), rtol=1E-3) 

# n.b. Next line checks that a random value is correct to a statistical 1-sigma prediction; 

# some RNG seeds may cause it to fail (indeed, 67% should) 

self.assertLess(record.get("test_NoiseReplacer_outside"), np.sqrt(sumVariance)) 

 

def tearDown(self): 

del self.bbox 

del self.dataset 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

105 ↛ 106line 105 didn't jump to line 106, because the condition on line 105 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()