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# 

# LSST Data Management System 

# Copyright 2008-2016 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 os 

import sys 

import unittest 

 

import numpy as np 

 

import lsst.utils.tests 

import lsst.meas.astrom 

import lsst.afw.geom 

 

from lsst.daf.persistence import Butler 

from lsst.meas.algorithms import LoadIndexedReferenceObjectsTask 

 

RefCatDir = os.path.join(os.path.dirname(__file__), "data", "sdssrefcat") 

 

 

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

"""Tests for lsst.meas.astrom.DirectMatchTask""" 

 

def setUp(self): 

np.random.seed(12345) 

self.butler = Butler(RefCatDir) 

refObjLoader = LoadIndexedReferenceObjectsTask(butler=self.butler) 

center = lsst.afw.geom.SpherePoint(215.5, 53.0, lsst.afw.geom.degrees) 

radius = 0.5*lsst.afw.geom.degrees 

self.filter = "r" 

self.references = refObjLoader.loadSkyCircle(center, radius, self.filter).refCat 

 

def tearDown(self): 

del self.butler 

del self.references 

 

def checkMatching(self, catalog): 

config = lsst.meas.astrom.DirectMatchConfig() 

config.refObjLoader.retarget(LoadIndexedReferenceObjectsTask) 

task = lsst.meas.astrom.DirectMatchTask(config=config, butler=self.butler) 

results = task.run(catalog, self.filter) 

 

self.assertEqual(len(results.matches), len(catalog)) 

for match in results.matches: 

self.assertEqual(match.first.getId(), match.second.getId()) 

maxDistance = max(match.distance for match in results.matches) 

self.assertLess(maxDistance, config.matchRadius) # match.distance is in arcsec 

 

self.assertIsNotNone(results.matchMeta) 

names = results.matchMeta.names() 

for key in ("RA", "DEC", "RADIUS", "SMATCHV", "FILTER"): 

self.assertIn(key, names) 

 

def testWithoutNoise(self): 

"""Match the reference catalog against itself""" 

self.checkMatching(self.references) 

 

def testWithNoise(self): 

"""Match the reference catalog against a noised version of itself""" 

references = self.references.copy(True) 

offset = (0.1*lsst.afw.geom.arcseconds).asRadians() 

num = len(references) 

ra, dec = references["coord_ra"], references["coord_dec"] 

cosDec = np.cos(dec.mean()) 

ra += offset/cosDec*np.random.uniform(-1.0, 1.0, num) 

dec += offset*np.random.uniform(-1.0, 1.0, num) 

self.checkMatching(references) 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

97 ↛ 98line 97 didn't jump to line 98, because the condition on line 97 was never trueif __name__ == "__main__": 

setup_module(sys.modules[__name__]) 

unittest.main()