/*
* 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);
}
}