Class HardMediumSoftLongScoreHolderImpl
java.lang.Object
org.optaplanner.constraint.drl.holder.AbstractScoreHolder<HardMediumSoftLongScore>
org.optaplanner.constraint.drl.holder.HardMediumSoftLongScoreHolderImpl
- All Implemented Interfaces:
- HardMediumSoftLongScoreHolder,- ScoreHolder<HardMediumSoftLongScore>
public final class HardMediumSoftLongScoreHolderImpl
extends AbstractScoreHolder<HardMediumSoftLongScore>
implements HardMediumSoftLongScoreHolder
- See Also:
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Nested Class SummaryNested classes/interfaces inherited from class org.optaplanner.constraint.drl.holder.AbstractScoreHolderAbstractScoreHolder.BigDecimalMatchExecutor, AbstractScoreHolder.ConstraintActivationUnMatchListener, AbstractScoreHolder.IntMatchExecutor, AbstractScoreHolder.LongMatchExecutor, AbstractScoreHolder.ScoreMatchExecutor<Score_ extends Score<Score_>>
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Field SummaryFieldsModifier and TypeFieldDescriptionprotected longprotected final Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.LongMatchExecutor> protected final Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.ScoreMatchExecutor<HardMediumSoftLongScore>> Slower thanmatchExecutorByNumberMapprotected longprotected longFields inherited from class org.optaplanner.constraint.drl.holder.AbstractScoreHolderconstraintMatchEnabled, constraintMatchTotalMap, indictmentMap
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Constructor SummaryConstructors
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Method SummaryModifier and TypeMethodDescriptionvoidaddHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeight) voidaddMediumConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long mediumWeight) voidaddMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeight, long mediumWeight, long softWeight) voidaddSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long softWeight) voidconfigureConstraintWeight(org.kie.api.definition.rule.Rule rule, HardMediumSoftLongScore constraintWeight) extractScore(int initScore) longlonglongvoidimpactScore(org.kie.api.runtime.rule.RuleContext kcontext) For internal use only, use penalize() or reward() instead.voidimpactScore(org.kie.api.runtime.rule.RuleContext kcontext, int weightMultiplier) For internal use only, use penalize() or reward() instead.voidimpactScore(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier) For internal use only, use penalize() or reward() instead.voidimpactScore(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal weightMultiplier) For internal use only, use penalize() or reward() instead.voidpenalize(org.kie.api.runtime.rule.RuleContext kcontext) Penalize a match by theConstraintWeightnegated.voidpenalize(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier) Penalize a match by theConstraintWeightnegated and multiplied with the weightMultiplier for all score levels.voidpenalize(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeightMultiplier, long mediumWeightMultiplier, long softWeightMultiplier) Penalize a match by theConstraintWeightnegated and multiplied with the specific weightMultiplier per score level.voidreward(org.kie.api.runtime.rule.RuleContext kcontext) Reward a match by theConstraintWeight.voidreward(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier) Reward a match by theConstraintWeightmultiplied with the weightMultiplier for all score levels.voidreward(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeightMultiplier, long mediumWeightMultiplier, long softWeightMultiplier) Reward a match by theConstraintWeightmultiplied with the specific weightMultiplier per score level.Methods inherited from class org.optaplanner.constraint.drl.holder.AbstractScoreHolderbuildScoreHolder, extractJustificationList, getConstraintMatchTotalMap, getIndictmentMap, isConstraintMatchEnabled, registerConstraintMatch
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Field Details- 
matchExecutorByNumberMapprotected final Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.LongMatchExecutor> matchExecutorByNumberMap
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matchExecutorByScoreMapprotected final Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.ScoreMatchExecutor<HardMediumSoftLongScore>> matchExecutorByScoreMapSlower thanmatchExecutorByNumberMap
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hardScoreprotected long hardScore
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mediumScoreprotected long mediumScore
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softScoreprotected long softScore
 
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Constructor Details- 
HardMediumSoftLongScoreHolderImplpublic HardMediumSoftLongScoreHolderImpl(boolean constraintMatchEnabled) 
 
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Method Details- 
getHardScorepublic long getHardScore()
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getMediumScorepublic long getMediumScore()
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getSoftScorepublic long getSoftScore()
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configureConstraintWeightpublic void configureConstraintWeight(org.kie.api.definition.rule.Rule rule, HardMediumSoftLongScore constraintWeight) - Overrides:
- configureConstraintWeightin class- AbstractScoreHolder<HardMediumSoftLongScore>
 
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penalizepublic void penalize(org.kie.api.runtime.rule.RuleContext kcontext) Description copied from interface:ScoreHolderPenalize a match by theConstraintWeightnegated.- Specified by:
- penalizein interface- ScoreHolder<HardMediumSoftLongScore>
- Parameters:
- kcontext- never null, the magic variable in DRL
 
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penalizepublic void penalize(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier) Description copied from interface:HardMediumSoftLongScoreHolderPenalize a match by theConstraintWeightnegated and multiplied with the weightMultiplier for all score levels.- Specified by:
- penalizein interface- HardMediumSoftLongScoreHolder
- Parameters:
- kcontext- never null, the magic variable in DRL
- weightMultiplier- at least 0
 
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penalizepublic void penalize(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeightMultiplier, long mediumWeightMultiplier, long softWeightMultiplier) Description copied from interface:HardMediumSoftLongScoreHolderPenalize a match by theConstraintWeightnegated and multiplied with the specific weightMultiplier per score level. Slower thanHardMediumSoftLongScoreHolder.penalize(RuleContext, long).- Specified by:
- penalizein interface- HardMediumSoftLongScoreHolder
- Parameters:
- kcontext- never null, the magic variable in DRL
- hardWeightMultiplier- at least 0
- mediumWeightMultiplier- at least 0
- softWeightMultiplier- at least 0
 
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rewardpublic void reward(org.kie.api.runtime.rule.RuleContext kcontext) Description copied from interface:ScoreHolderReward a match by theConstraintWeight.- Specified by:
- rewardin interface- ScoreHolder<HardMediumSoftLongScore>
- Parameters:
- kcontext- never null, the magic variable in DRL
 
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rewardpublic void reward(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier) Description copied from interface:HardMediumSoftLongScoreHolderReward a match by theConstraintWeightmultiplied with the weightMultiplier for all score levels.- Specified by:
- rewardin interface- HardMediumSoftLongScoreHolder
- Parameters:
- kcontext- never null, the magic variable in DRL
- weightMultiplier- at least 0
 
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rewardpublic void reward(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeightMultiplier, long mediumWeightMultiplier, long softWeightMultiplier) Description copied from interface:HardMediumSoftLongScoreHolderReward a match by theConstraintWeightmultiplied with the specific weightMultiplier per score level. Slower thanHardMediumSoftLongScoreHolder.reward(RuleContext, long).- Specified by:
- rewardin interface- HardMediumSoftLongScoreHolder
- Parameters:
- kcontext- never null, the magic variable in DRL
- hardWeightMultiplier- at least 0
- mediumWeightMultiplier- at least 0
- softWeightMultiplier- at least 0
 
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impactScorepublic void impactScore(org.kie.api.runtime.rule.RuleContext kcontext) Description copied from class:AbstractScoreHolderFor internal use only, use penalize() or reward() instead.- Overrides:
- impactScorein class- AbstractScoreHolder<HardMediumSoftLongScore>
- Parameters:
- kcontext- never null
 
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impactScorepublic void impactScore(org.kie.api.runtime.rule.RuleContext kcontext, int weightMultiplier) Description copied from class:AbstractScoreHolderFor internal use only, use penalize() or reward() instead.- Specified by:
- impactScorein class- AbstractScoreHolder<HardMediumSoftLongScore>
- Parameters:
- kcontext- never null
- weightMultiplier- any
 
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impactScorepublic void impactScore(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier) Description copied from class:AbstractScoreHolderFor internal use only, use penalize() or reward() instead.- Specified by:
- impactScorein interface- HardMediumSoftLongScoreHolder
- Specified by:
- impactScorein class- AbstractScoreHolder<HardMediumSoftLongScore>
- Parameters:
- kcontext- never null
- weightMultiplier- any
 
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impactScoreDescription copied from class:AbstractScoreHolderFor internal use only, use penalize() or reward() instead.- Specified by:
- impactScorein class- AbstractScoreHolder<HardMediumSoftLongScore>
- Parameters:
- kcontext- never null
- weightMultiplier- any
 
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addHardConstraintMatchpublic void addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeight) - Specified by:
- addHardConstraintMatchin interface- HardMediumSoftLongScoreHolder
- Parameters:
- kcontext- never null, the magic variable in DRL
- hardWeight- higher is better, negative for a penalty, positive for a reward
 
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addMediumConstraintMatchpublic void addMediumConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long mediumWeight) - Specified by:
- addMediumConstraintMatchin interface- HardMediumSoftLongScoreHolder
- Parameters:
- kcontext- never null, the magic variable in DRL
- mediumWeight- higher is better, negative for a penalty, positive for a reward
 
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addSoftConstraintMatchpublic void addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long softWeight) - Specified by:
- addSoftConstraintMatchin interface- HardMediumSoftLongScoreHolder
- Parameters:
- kcontext- never null, the magic variable in DRL
- softWeight- higher is better, negative for a penalty, positive for a reward
 
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addMultiConstraintMatchpublic void addMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeight, long mediumWeight, long softWeight) - Specified by:
- addMultiConstraintMatchin interface- HardMediumSoftLongScoreHolder
- Parameters:
- kcontext- never null, the magic variable in DRL
- hardWeight- higher is better, negative for a penalty, positive for a reward
- mediumWeight- higher is better, negative for a penalty, positive for a reward
- softWeight- higher is better, negative for a penalty, positive for a reward
 
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extractScore- Specified by:
- extractScorein class- AbstractScoreHolder<HardMediumSoftLongScore>
 
 
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