/* * Copyright 2015 Red Hat, Inc. and/or its affiliates. * * 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 org.optaplanner.core.impl.score.buildin.hardsoftdouble; import org.junit.Test; import org.optaplanner.core.api.score.buildin.hardsoftdouble.HardSoftDoubleScore; import org.optaplanner.core.config.score.trend.InitializingScoreTrendLevel; import org.optaplanner.core.impl.score.trend.InitializingScoreTrend; import static org.junit.Assert.*; public class HardSoftDoubleScoreDefinitionTest { @Test public void getLevelSize() { assertEquals(2, new HardSoftDoubleScoreDefinition().getLevelsSize()); } @Test public void getLevelLabels() { assertArrayEquals(new String[]{"hard score", "soft score"}, new HardSoftDoubleScoreDefinition().getLevelLabels()); } @Test public void getFeasibleLevelsSize() { assertEquals(1, new HardSoftDoubleScoreDefinition().getFeasibleLevelsSize()); } @Test public void buildOptimisticBoundOnlyUp() { HardSoftDoubleScoreDefinition scoreDefinition = new HardSoftDoubleScoreDefinition(); HardSoftDoubleScore optimisticBound = scoreDefinition.buildOptimisticBound( InitializingScoreTrend.buildUniformTrend(InitializingScoreTrendLevel.ONLY_UP, 2), HardSoftDoubleScore.valueOf(-1.7, -2.2)); assertEquals(0, optimisticBound.getInitScore()); assertEquals(Double.POSITIVE_INFINITY, optimisticBound.getHardScore(), 0.0); assertEquals(Double.POSITIVE_INFINITY, optimisticBound.getSoftScore(), 0.0); } @Test public void buildOptimisticBoundOnlyDown() { HardSoftDoubleScoreDefinition scoreDefinition = new HardSoftDoubleScoreDefinition(); HardSoftDoubleScore optimisticBound = scoreDefinition.buildOptimisticBound( InitializingScoreTrend.buildUniformTrend(InitializingScoreTrendLevel.ONLY_DOWN, 2), HardSoftDoubleScore.valueOf(-1.7, -2.2)); assertEquals(0, optimisticBound.getInitScore()); assertEquals(-1.7, optimisticBound.getHardScore(), 0.0); assertEquals(-2.2, optimisticBound.getSoftScore(), 0.0); } @Test public void buildPessimisticBoundOnlyUp() { HardSoftDoubleScoreDefinition scoreDefinition = new HardSoftDoubleScoreDefinition(); HardSoftDoubleScore pessimisticBound = scoreDefinition.buildPessimisticBound( InitializingScoreTrend.buildUniformTrend(InitializingScoreTrendLevel.ONLY_UP, 2), HardSoftDoubleScore.valueOf(-1.7, -2.2)); assertEquals(0, pessimisticBound.getInitScore()); assertEquals(-1.7, pessimisticBound.getHardScore(), 0.0); assertEquals(-2.2, pessimisticBound.getSoftScore(), 0.0); } @Test public void buildPessimisticBoundOnlyDown() { HardSoftDoubleScoreDefinition scoreDefinition = new HardSoftDoubleScoreDefinition(); HardSoftDoubleScore pessimisticBound = scoreDefinition.buildPessimisticBound( InitializingScoreTrend.buildUniformTrend(InitializingScoreTrendLevel.ONLY_DOWN, 2), HardSoftDoubleScore.valueOf(-1, -2)); assertEquals(0, pessimisticBound.getInitScore()); assertEquals(Double.NEGATIVE_INFINITY, pessimisticBound.getHardScore(), 0.0); assertEquals(Double.NEGATIVE_INFINITY, pessimisticBound.getSoftScore(), 0.0); } }