/*
* 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 );
}
}