/* * JaamSim Discrete Event Simulation * Copyright (C) 2013 Ausenco Engineering Canada Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package com.jaamsim.probability; import static org.junit.Assert.assertTrue; import org.junit.Test; import com.jaamsim.ProbabilityDistributions.ContinuousDistribution; import com.jaamsim.Samples.SampleProvider; import com.jaamsim.basicsim.ObjectType; import com.jaamsim.events.EventManager; import com.jaamsim.events.ProcessTarget; import com.jaamsim.events.TestFrameworkHelpers; import com.jaamsim.input.InputAgent; public class TestContinuousDistribution { static class SampleDistribution extends ProcessTarget { final SampleProvider dist; final int numSamples; double total; public SampleDistribution(SampleProvider dist, int numSamples) { this.dist = dist; this.numSamples = numSamples; } @Override public String getDescription() { return "DistibutionUnitTest"; } @Override public void process() { total = 0.0d; for (int i = 0; i < numSamples; i++) total += dist.getNextSample(0.0d); } } static double sampleDistribution(SampleProvider dist, int numSamples) { SampleDistribution target = new SampleDistribution(dist, numSamples); EventManager evt = new EventManager("DistibutionUnitTest"); evt.clear(); evt.scheduleProcessExternal(0, 0, false, target, null); TestFrameworkHelpers.runEventsToTick(evt, Long.MAX_VALUE, 100000000); return target.total; } @Test public void MeanAndStandardDeviation() { ObjectType t = InputAgent.defineEntityWithUniqueName(ObjectType.class, "TestType", "-", true); InputAgent.applyArgs(t, "JavaClass", "com.jaamsim.units.DimensionlessUnit"); ContinuousDistribution dist = InputAgent.defineEntityWithUniqueName(ContinuousDistribution.class, "Dist", "-", true); InputAgent.applyArgs(dist, "UnitType", t.getName()); InputAgent.applyArgs(dist, "ValueList", "1.0", "3.0", "5.0", "10.0"); InputAgent.applyArgs(dist, "CumulativeProbabilityList", "0.0", "0.5", "0.8", "1.0"); InputAgent.applyArgs(dist, "RandomSeed", "1"); dist.validate(); dist.earlyInit(); int numSamples = 1000000; double total = TestContinuousDistribution.sampleDistribution(dist, numSamples); double mean = total / numSamples; assertTrue( Math.abs( dist.getSampleMean(0.0) - mean ) < 0.001 ); assertTrue( Math.abs( dist.getSampleMean(0.0) / dist.getMeanValue(0.0) - 1.0 ) < 0.001 ); assertTrue( Math.abs( dist.getSampleStandardDeviation(0.0) / dist.getStandardDeviation(0.0) - 1.0 ) < 0.001 ); } }