/*
* Copyright 2011 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.api.score.buildin.simpledouble;
import org.kie.api.runtime.rule.RuleContext;
import org.optaplanner.core.api.score.Score;
import org.optaplanner.core.api.score.holder.AbstractScoreHolder;
/**
* WARNING: NOT RECOMMENDED TO USE DUE TO ROUNDING ERRORS THAT CAUSE SCORE CORRUPTION.
* Use {@link SimpleDoubleScoreHolder} instead.
* @see SimpleDoubleScore
*/
public class SimpleDoubleScoreHolder extends AbstractScoreHolder {
protected double score;
public SimpleDoubleScoreHolder(boolean constraintMatchEnabled) {
super(constraintMatchEnabled, SimpleDoubleScore.ZERO);
}
public double getScore() {
return score;
}
// ************************************************************************
// Worker methods
// ************************************************************************
/**
* @param kcontext never null, the magic variable in DRL
* @param weight higher is better, negative for a penalty, positive for a reward
*/
public void addConstraintMatch(RuleContext kcontext, double weight) {
score += weight;
registerConstraintMatch(kcontext,
() -> score -= weight,
() -> SimpleDoubleScore.valueOf(weight));
}
@Override
public Score extractScore(int initScore) {
return SimpleDoubleScore.valueOfUninitialized(initScore, score);
}
}