/* * 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); } }