/*
* (c) Copyright 2006-2011 by Volker Bergmann. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, is permitted under the terms of the
* GNU General Public License.
*
* For redistributing this software or a derivative work under a license other
* than the GPL-compatible Free Software License as defined by the Free
* Software Foundation or approved by OSI, you must first obtain a commercial
* license to this software product from Volker Bergmann.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* WITHOUT A WARRANTY OF ANY KIND. ALL EXPRESS OR IMPLIED CONDITIONS,
* REPRESENTATIONS AND WARRANTIES, INCLUDING ANY IMPLIED WARRANTY OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT, ARE
* HEREBY EXCLUDED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*/
package org.databene.benerator.sample;
import java.util.List;
import org.databene.benerator.test.GeneratorTest;
import org.databene.benerator.wrapper.ProductWrapper;
import org.databene.script.WeightedSample;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.junit.Test;
import static junit.framework.Assert.*;
/**
* Tests the {@link AttachedWeightSampleGenerator}.<br/>
* <br/>
* Created: 07.06.2006 21:59:02
* @author Volker Bergmann
*/
public class AttachedWeightSampleGeneratorTest extends GeneratorTest {
private static Logger logger = LoggerFactory.getLogger(AttachedWeightSampleGeneratorTest.class);
@Test
public void testInstantiation() throws Exception {
new AttachedWeightSampleGenerator<Integer>(Integer.class);
new AttachedWeightSampleGenerator<String>(String.class);
}
@Test
@SuppressWarnings("unchecked")
public void testDistribution() throws Exception {
// prepare
WeightedSample<Integer>[] samples = new WeightedSample[] {
new WeightedSample<Integer>(0, 0.1),
new WeightedSample<Integer>(1, 0.3),
new WeightedSample<Integer>(2, 0.6)
};
AttachedWeightSampleGenerator<Integer> g = new AttachedWeightSampleGenerator<Integer>(Integer.class);
g.setSamples(samples);
g.init(context);
// execute
int n = 10000;
int[] sampleCount = new int[3];
for (int i = 0; i < n; i++) {
sampleCount[g.generate(new ProductWrapper<Integer>()).unwrap()] ++;
}
List<WeightedSample<? extends Integer>> samples2 = g.getSamples();
for (int i = 0; i < sampleCount.length; i++) {
int count = sampleCount[i];
double measuredProbability = (float)count / n;
double expectedProbability = samples2.get(i).getWeight();
double ratio = measuredProbability / expectedProbability;
logger.debug(i + " " + count + " " + ratio);
assertTrue(ratio > 0.9 && ratio < 1.1);
}
}
}