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# This file is part of ap_association. 

# 

# 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 numpy as np 

import pandas as pd 

import unittest 

 

from lsst.ap.association import ( 

DiaObjectCalculationTask, 

DiaObjectCalculationConfig, 

DiaObjectCalculationPlugin) 

from lsst.meas.base.pluginRegistry import register 

import lsst.utils.tests 

 

 

@register("testDiaPlugin") 

class DiaPlugin(DiaObjectCalculationPlugin): 

"""Simple mean function. 

""" 

outputCols = ["MeanFlux", "StdFlux"] 

 

@classmethod 

def getExecutionOrder(cls): 

return cls.DEFAULT_CATALOGCALCULATION 

 

def calculate(self, 

diaObject, 

diaSources, 

filterDiaSources, 

filterName, 

**kwargs): 

""" 

""" 

diaObject["%sMeanFlux" % filterName] = np.mean( 

filterDiaSources["psFlux"]) 

diaObject["%sStdFlux" % filterName] = np.std( 

filterDiaSources["psFlux"], ddof=1) 

 

 

@register("testDependentDiaPlugin") 

class DependentDiaPlugin(DiaObjectCalculationPlugin): 

"""Simple calculation using the previously calculated mean. 

""" 

inputCols = ["MeanFlux"] 

outputCols = ["ChiFlux"] 

 

@classmethod 

def getExecutionOrder(cls): 

return cls.FLUX_MOMENTS_CALCULATED 

 

def calculate(self, 

diaObject, 

diaSources, 

filterDiaSources, 

filterName, 

**kwargs): 

diaObject["%sChiFlux" % filterName] = np.sum( 

((filterDiaSources["psFlux"] - 

diaObject["%sMeanFlux" % filterName]) / 

filterDiaSources["psFluxErr"]) ** 2) 

 

 

@register("testCollidingDiaPlugin") 

class CollidingDiaPlugin(DiaObjectCalculationPlugin): 

"""Simple calculation using the previously calculated mean. 

""" 

outputCols = ["MeanFlux"] 

 

@classmethod 

def getExecutionOrder(cls): 

return cls.FLUX_MOMENTS_CALCULATED 

 

def calculate(self, 

diaObject, 

diaSources, 

filterDiaSources, 

filterName, 

**kwargs): 

diaObject["%sMeanFlux" % filterName] = 0.0 

 

 

class TestMeanPosition(unittest.TestCase): 

 

def setUp(self): 

# Create diaObjects 

self.diaObjects = pd.DataFrame( 

data=[{"diaObjectId": objId} for objId in range(5)]) 

self.diaObjects.set_index("diaObjectId", inplace=True) 

 

# Create diaSources from "previous runs" and newly created ones. 

diaSources = [{"diaSourceId": objId, "diaObjectId": objId, 

"psFlux": 0., "psFluxErr": 1., 

"totFlux": 0., "totFluxErr": 1., 

"midPointTai": 0, "filterName": "g"} 

for objId in range(5)] 

diaSources.extend([{"diaSourceId": 5 + objId, "diaObjectId": objId, 

"psFlux": 0., "psFluxErr": 1., 

"totFlux": 0., "totFluxErr": 1., 

"midPointTai": 0, "filterName": "r"} 

for objId in range(5)]) 

diaSources.extend([{"diaSourceId": 10, "diaObjectId": 0, 

"psFlux": 1., "psFluxErr": 1., 

"totFlux": 0., "totFluxErr": 0., 

"midPointTai": 0, "filterName": "g"}, 

{"diaSourceId": 11, "diaObjectId": 1, 

"psFlux": 1., "psFluxErr": 1., 

"totFlux": 0., "totFluxErr": 0., 

"midPointTai": 0, "filterName": "g"}, 

{"diaSourceId": 12, "diaObjectId": 2, 

"psFlux": np.nan, "psFluxErr": 1., 

"totFlux": 0., "totFluxErr": 0., 

"midPointTai": 0, "filterName": "g"}, 

{"diaSourceId": 13, "diaObjectId": 13, 

"psFlux": 1., "psFluxErr": 1., 

"totFlux": 0., "totFluxErr": 0., 

"midPointTai": 0, "filterName": "g"}]) 

self.diaSources = pd.DataFrame(data=diaSources) 

self.diaSources.set_index(["diaObjectId", "filterName", "diaSourceId"], 

inplace=True) 

 

self.newDiaObjectId = 13 

self.updatedDiaObjectIds = np.array([0, 1, 2, 13], dtype=np.int) 

 

conf = DiaObjectCalculationConfig() 

conf.plugins = ["testDiaPlugin", 

"testDependentDiaPlugin"] 

self.diaObjCalTask = DiaObjectCalculationTask(config=conf) 

 

def testRun(self): 

"""Test the run method and that diaObjects are updated correctly. 

""" 

results = self.diaObjCalTask.run(self.diaObjects, 

self.diaSources, 

self.updatedDiaObjectIds, 

"g") 

diaObjectCat = results.diaObjectCat 

updatedDiaObjects = results.updatedDiaObjects 

updatedDiaObjects.set_index("diaObjectId", inplace=True) 

# Test the lengths of the output dataframes. 

self.assertEqual(len(diaObjectCat), len(self.diaObjects) + 1) 

self.assertEqual(len(updatedDiaObjects), 

len(self.updatedDiaObjectIds)) 

 

# Test values stored computed in the task. 

for objId, diaObject in updatedDiaObjects.iterrows(): 

if objId == self.newDiaObjectId: 

self.assertEqual(diaObject["gMeanFlux"], 1.) 

self.assertTrue(np.isnan(diaObject["gStdFlux"])) 

self.assertAlmostEqual(diaObject["gChiFlux"], 0.0) 

elif objId == 2: 

self.assertAlmostEqual(diaObject["gMeanFlux"], 0.0) 

self.assertTrue(np.isnan(diaObject["gStdFlux"])) 

self.assertAlmostEqual(diaObject["gChiFlux"], 0.0) 

else: 

self.assertAlmostEqual(diaObject["gMeanFlux"], 0.5) 

self.assertAlmostEqual(diaObject["gStdFlux"], 

0.7071067811865476) 

self.assertAlmostEqual(diaObject["gChiFlux"], 0.5) 

 

def testConflictingPlugins(self): 

"""Test that code properly exits upon plugin collision. 

""" 

with self.assertRaises(ValueError): 

conf = DiaObjectCalculationConfig() 

conf.plugins = ["testDependentDiaPlugin"] 

DiaObjectCalculationTask(config=conf) 

 

with self.assertRaises(ValueError): 

conf = DiaObjectCalculationConfig() 

conf.plugins = ["testDiaPlugin", 

"testCollidingDiaPlugin", 

"testDependentDiaPlugin"] 

DiaObjectCalculationTask(config=conf) 

 

# Test that ordering in the config does not matter and dependent 

# plugin is instantiated after independent plugin. Would raise 

# ValueError on failure. 

conf = DiaObjectCalculationConfig() 

conf.plugins = ["testDependentDiaPlugin", 

"testDiaPlugin"] 

DiaObjectCalculationTask(config=conf) 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

206 ↛ 207line 206 didn't jump to line 207, because the condition on line 206 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()