/** * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You 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 org.apache.mahout.ga.watchmaker; import com.google.common.collect.Lists; import org.apache.mahout.common.MahoutTestCase; import org.apache.mahout.common.RandomUtils; import org.junit.Test; import java.util.List; import java.util.Random; public final class STFitnessEvaluatorTest extends MahoutTestCase { private static class STFitnessEvaluatorMock<T> extends STFitnessEvaluator<T> { private int nbcalls; private List<Double> evaluations; public void shouldReturn(List<Double> evaluations) { this.evaluations = evaluations; } public int getNbCalls() { return nbcalls; } @Override protected void evaluate(List<? extends T> population, List<Double> evaluations) { nbcalls++; evaluations.addAll(this.evaluations); } @Override public boolean isNatural() { // Doesn't matter return false; } } /** * Test method for {@link org.apache.mahout.ga.watchmaker.STFitnessEvaluator#evaluate(List, * List)}.<br> <br> Make sure that evaluate() is not called twice for the same population. */ @Test public void testEvaluateSamePopulation() { STFitnessEvaluatorMock<Integer> mock = new STFitnessEvaluatorMock<Integer>(); RandomUtils.useTestSeed(); Random rng = RandomUtils.getRandom(); int size = 100; List<Integer> population = randomInts(size, rng); List<Double> evaluations = randomFloats(size, rng); mock.shouldReturn(evaluations); for (int index = 0; index < size; index++) { Integer candidate = population.get(index); assertEquals(evaluations.get(index), mock.getFitness(candidate, population), EPSILON); } // getFitness() should be called once assertEquals(1, mock.getNbCalls()); } /** * Test method for {@link org.apache.mahout.ga.watchmaker.STFitnessEvaluator#evaluate(List, * List)}.<br> <br> Make sure that evaluate() is called as many different populations are passed to * getFitness(). */ @Test public void testEvaluateDifferentPopulations() { STFitnessEvaluatorMock<Integer> mock = new STFitnessEvaluatorMock<Integer>(); RandomUtils.useTestSeed(); Random rng = RandomUtils.getRandom(); // generate a population A int size = 100; List<Integer> population = randomInts(size, rng); List<Double> evaluations = randomFloats(size, rng); mock.shouldReturn(evaluations); // call with population A mock.getFitness(population.get(rng.nextInt(size)), population); // generate a new population B population = randomInts(size, rng); // call with population B mock.getFitness(population.get(rng.nextInt(size)), population); // getFitness() should be called twice assertEquals(2, mock.getNbCalls()); } private static List<Integer> randomInts(int size, Random rng) { List<Integer> population = Lists.newArrayList(); for (int index = 0; index < size; index++) { population.add(rng.nextInt()); } return population; } private static List<Double> randomFloats(int size, Random rng) { List<Double> population = Lists.newArrayList(); for (int index = 0; index < size; index++) { population.add(rng.nextDouble()); } return population; } }