Java tutorial
/* * This file is part of the GeMTC software for MTC model generation and * analysis. GeMTC is distributed from http://drugis.org/gemtc. * Copyright (C) 2009-2012 Gert van Valkenhoef. * * 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 <http://www.gnu.org/licenses/>. */ package org.drugis.mtc.presentation; import static org.junit.Assert.assertNotNull; import static org.junit.Assert.assertNotSame; import static org.junit.Assert.assertSame; import java.util.ArrayList; import java.util.Arrays; import java.util.List; import org.apache.commons.collections15.BidiMap; import org.apache.commons.collections15.bidimap.DualHashBidiMap; import org.drugis.mtc.ConsistencyModel; import org.drugis.mtc.Parameter; import org.drugis.mtc.model.Treatment; import org.junit.Before; import org.junit.Test; public class AbstractSimulationWrapperTest { private AbstractMTCSimulationWrapper<String, ConsistencyModel> d_model; private List<String> d_treatments; @Before public void setUp() { d_treatments = Arrays.asList("A", "B", "C"); BidiMap<String, Treatment> treatmentMap = new DualHashBidiMap<String, Treatment>(); ArrayList<Treatment> treatmentList = new ArrayList<Treatment>(); for (String s : d_treatments) { final Treatment t = new Treatment(s, ""); treatmentMap.put(s, t); treatmentList.add(t); } ConsistencyModel mtc = MockConsistencyModel.buildMockSimulationConsistencyModel(treatmentList); d_model = new AbstractMTCSimulationWrapper<String, ConsistencyModel>(mtc, "Stub Model", treatmentMap) { }; } @Test public void testGetQuantileSummary() { Parameter dAB = d_model.getRelativeEffect(d_treatments.get(0), d_treatments.get(1)); Parameter dAC = d_model.getRelativeEffect(d_treatments.get(0), d_treatments.get(2)); assertNotNull(d_model.getQuantileSummary(dAB)); assertSame(d_model.getQuantileSummary(dAB), d_model.getQuantileSummary(dAB)); assertNotNull(d_model.getQuantileSummary(dAC)); assertNotSame(d_model.getQuantileSummary(dAB), d_model.getQuantileSummary(dAC)); } }