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# This file is part of ip_diffim. 

# 

# Developed for the LSST Data Management System. 

# This product includes software developed by the LSST Project 

# (https://www.lsst.org). 

# See the COPYRIGHT file at the top-level directory of this distribution 

# for details of code ownership. 

# 

# 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 GNU General Public License 

# along with this program. If not, see <https://www.gnu.org/licenses/>. 

 

import unittest 

 

import astropy.units as u 

from astropy.tests.helper import assert_quantity_allclose 

 

from lsst.afw.table import SourceCatalog 

import lsst.utils.tests 

from lsst.verify import Name 

from lsst.verify.gen2tasks.testUtils import MetricTaskTestCase 

from lsst.verify.tasks import MetricComputationError 

 

from lsst.ip.diffim.metrics import \ 

NumberSciSourcesMetricTask, \ 

FractionDiaSourcesToSciSourcesMetricTask 

 

 

def _makeDummyCatalog(size): 

catalog = SourceCatalog(SourceCatalog.Table.makeMinimalSchema()) 

for i in range(size): 

catalog.addNew() 

return catalog 

 

 

class TestNumSciSources(MetricTaskTestCase): 

 

@classmethod 

def makeTask(cls): 

return NumberSciSourcesMetricTask() 

 

def testValid(self): 

catalog = _makeDummyCatalog(3) 

result = self.task.run(catalog) 

meas = result.measurement 

 

self.assertEqual(meas.metric_name, Name(metric="ip_diffim.numSciSources")) 

self.assertEqual(meas.quantity, len(catalog) * u.count) 

 

def testEmptyCatalog(self): 

catalog = _makeDummyCatalog(0) 

result = self.task.run(catalog) 

meas = result.measurement 

 

self.assertEqual(meas.metric_name, Name(metric="ip_diffim.numSciSources")) 

self.assertEqual(meas.quantity, 0 * u.count) 

 

def testMissingData(self): 

result = self.task.run(None) 

meas = result.measurement 

self.assertIsNone(meas) 

 

def testGetInputDatasetTypes(self): 

config = self.taskClass.ConfigClass() 

types = self.taskClass.getInputDatasetTypes(config) 

# dict.keys() is a collections.abc.Set, which has a narrower interface than __builtins__.set... 

self.assertSetEqual(set(types.keys()), {"sources"}) 

self.assertEqual(types["sources"], "src") 

 

def testFineGrainedMetric(self): 

catalog = _makeDummyCatalog(3) 

inputData = {"sources": catalog} 

inputDataIds = {"sources": {"visit": 42, "ccd": 1}} 

outputDataId = {"measurement": {"visit": 42, "ccd": 1}} 

measDirect = self.task.run(catalog).measurement 

measIndirect = self.task.adaptArgsAndRun(inputData, inputDataIds, outputDataId).measurement 

 

assert_quantity_allclose(measIndirect.quantity, measDirect.quantity) 

 

 

class TestFractionDiaSources(MetricTaskTestCase): 

 

@classmethod 

def makeTask(cls): 

return FractionDiaSourcesToSciSourcesMetricTask() 

 

def testValid(self): 

sciCatalog = _makeDummyCatalog(5) 

diaCatalog = _makeDummyCatalog(3) 

result = self.task.run(sciCatalog, diaCatalog) 

meas = result.measurement 

 

self.assertEqual(meas.metric_name, Name(metric="ip_diffim.fracDiaSourcesToSciSources")) 

self.assertEqual(meas.quantity, len(diaCatalog) / len(sciCatalog) * u.dimensionless_unscaled) 

 

def testEmptyDiaCatalog(self): 

sciCatalog = _makeDummyCatalog(5) 

diaCatalog = _makeDummyCatalog(0) 

result = self.task.run(sciCatalog, diaCatalog) 

meas = result.measurement 

 

self.assertEqual(meas.metric_name, Name(metric="ip_diffim.fracDiaSourcesToSciSources")) 

self.assertEqual(meas.quantity, 0.0 * u.dimensionless_unscaled) 

 

def testEmptySciCatalog(self): 

sciCatalog = _makeDummyCatalog(0) 

diaCatalog = _makeDummyCatalog(3) 

with self.assertRaises(MetricComputationError): 

self.task.run(sciCatalog, diaCatalog) 

 

def testEmptyCatalogs(self): 

sciCatalog = _makeDummyCatalog(0) 

diaCatalog = _makeDummyCatalog(0) 

with self.assertRaises(MetricComputationError): 

self.task.run(sciCatalog, diaCatalog) 

 

def testMissingData(self): 

result = self.task.run(None, None) 

meas = result.measurement 

self.assertIsNone(meas) 

 

def testSemiMissingData(self): 

result = self.task.run(sciSources=_makeDummyCatalog(3), diaSources=None) 

meas = result.measurement 

self.assertIsNone(meas) 

 

def testGetInputDatasetTypes(self): 

config = self.taskClass.ConfigClass() 

types = self.taskClass.getInputDatasetTypes(config) 

# dict.keys() is a collections.abc.Set, which has a narrower interface than __builtins__.set... 

self.assertSetEqual(set(types.keys()), {"sciSources", "diaSources"}) 

self.assertEqual(types["sciSources"], "src") 

self.assertEqual(types["diaSources"], "deepDiff_diaSrc") 

 

# TODO: add a test for the templating in FractionDiaSourcesToSciSourcesMetricConfig 

# once we've migrated to PipelineTaskConfig 

 

def testFineGrainedMetric(self): 

sciCatalog = _makeDummyCatalog(5) 

diaCatalog = _makeDummyCatalog(1) 

inputData = {"sciSources": sciCatalog, "diaSources": diaCatalog} 

inputDataIds = {"sciSources": {"visit": 42, "ccd": 1}, "diaSources": {"visit": 42, "ccd": 1}} 

outputDataId = {"measurement": {"visit": 42, "ccd": 1}} 

measDirect = self.task.run(sciCatalog, diaCatalog).measurement 

measIndirect = self.task.adaptArgsAndRun(inputData, inputDataIds, outputDataId).measurement 

 

assert_quantity_allclose(measIndirect.quantity, measDirect.quantity) 

 

 

# Hack around unittest's hacky test setup system 

del MetricTaskTestCase 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

171 ↛ 172line 171 didn't jump to line 172, because the condition on line 171 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()