/*
* Java Genetic Algorithm Library (@__identifier__@).
* Copyright (c) @__year__@ Franz Wilhelmstötter
*
* 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.
*
* Author:
* Franz Wilhelmstötter (franz.wilhelmstoetter@gmx.at)
*/
package org.jenetics;
import static org.jenetics.stat.StatisticsAssert.assertDistribution;
import static org.testng.Assert.assertEquals;
import static org.testng.Assert.assertFalse;
import static org.testng.Assert.assertNotNull;
import static org.testng.Assert.assertTrue;
import java.util.Random;
import org.testng.Assert;
import org.testng.annotations.Test;
import org.jenetics.stat.Histogram;
import org.jenetics.stat.UniformDistribution;
import org.jenetics.util.CharSeq;
import org.jenetics.util.Factory;
import org.jenetics.util.RandomRegistry;
import org.jenetics.util.Scoped;
/**
* @author <a href="mailto:franz.wilhelmstoetter@gmx.at">Franz Wilhelmstötter</a>
* @version <em>$Date$</em>
*/
public class CharacterGeneTest extends GeneTester<CharacterGene> {
private final Factory<CharacterGene> _factory = CharacterGene.of();
@Override protected Factory<CharacterGene> getFactory() {
return _factory;
}
@Test(invocationCount = 20, successPercentage = 95)
public void newInstanceDistribution() {
try (Scoped<Random> s = RandomRegistry.scope(new Random(12345))) {
final CharSeq characters = new CharSeq("0123456789");
final Factory<CharacterGene> factory = CharacterGene.of(characters);
final Histogram<Long> histogram = Histogram.of(0L, 10L, 10);
final int samples = 100000;
for (int i = 0; i < samples; ++i) {
final CharacterGene g1 = factory.newInstance();
final CharacterGene g2 = factory.newInstance();
Assert.assertNotSame(g1, g2);
histogram.accumulate(Long.valueOf(g1.getAllele().toString()));
histogram.accumulate(Long.valueOf(g2.getAllele().toString()));
}
assertDistribution(histogram, new UniformDistribution<>(0L, 10L));
}
}
@Test
public void testCharacterGene() {
CharacterGene gene = CharacterGene.of();
assertTrue(gene.isValidCharacter(gene.getAllele()));
}
@Test
public void testCharacterGeneCharacter() {
CharacterGene gene = CharacterGene.of('4');
assertEquals(new Character('4'), gene.getAllele());
}
@Test
public void testGetCharacter() {
CharacterGene gene = CharacterGene.of('6');
assertEquals(new Character('6'), gene.getAllele());
}
@Test
public void testCompareTo() {
CharacterGene g1 = CharacterGene.of('1');
CharacterGene g2 = CharacterGene.of('2');
CharacterGene g3 = CharacterGene.of('3');
assertTrue(g1.compareTo(g2) < 0);
assertTrue(g2.compareTo(g3) < 0);
assertTrue(g3.compareTo(g2) > 0);
assertTrue(g2.compareTo(g2) == 0);
}
@Test
public void testIsValidCharacter() {
for (Character c : CharacterGene.DEFAULT_CHARACTERS) {
assertTrue(CharacterGene.of(c).isValidCharacter(c));
}
}
@Test
public void testGetValidCharacters() {
CharSeq cset = CharacterGene.DEFAULT_CHARACTERS;
assertNotNull(cset);
assertFalse(cset.isEmpty());
}
}