/* * 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.assertUniformDistribution; import static org.jenetics.util.RandomRegistry.using; import java.util.Random; import org.testng.Assert; import org.testng.annotations.Test; import org.jenetics.stat.Histogram; import org.jenetics.stat.MinMax; /** * @author <a href="mailto:franz.wilhelmstoetter@gmx.at">Franz Wilhelmstötter</a> */ public class LongChromosomeTest extends NumericChromosomeTester<Long, LongGene> { private final LongChromosome _factory = new LongChromosome( 0L, Long.MAX_VALUE, 500 ); @Override protected LongChromosome factory() { return _factory; } @Test(invocationCount = 20, successPercentage = 95) public void newInstanceDistribution() { using(new Random(12345), r -> { final long min = 0; final long max = 10000000; final MinMax<Long> mm = MinMax.of(); final Histogram<Long> histogram = Histogram.ofLong(min, max, 10); for (int i = 0; i < 1000; ++i) { final LongChromosome chromosome = new LongChromosome(min, max, 500); for (LongGene gene : chromosome) { mm.accept(gene.getAllele()); histogram.accept(gene.getAllele()); } } Assert.assertTrue(mm.getMin().compareTo(0L) >= 0); Assert.assertTrue(mm.getMax().compareTo(100L) <= 100); assertUniformDistribution(histogram); }); } }