Interface BendableLongScoreHolder
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- All Superinterfaces:
ScoreHolder<BendableLongScore>
- All Known Implementing Classes:
BendableLongScoreHolderImpl
public interface BendableLongScoreHolder extends ScoreHolder<BendableLongScore>
- See Also:
BendableLongScore
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description void
addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, int hardLevel, long weight)
void
addMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long[] hardWeights, long[] softWeights)
void
addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, int softLevel, long weight)
int
getHardLevelsSize()
int
getSoftLevelsSize()
void
impactScore(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)
void
penalize(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)
Penalize a match by theConstraintWeight
negated and multiplied with the weightMultiplier for all score levels.void
penalize(org.kie.api.runtime.rule.RuleContext kcontext, long[] hardWeightsMultiplier, long[] softWeightsMultiplier)
Penalize a match by theConstraintWeight
negated and multiplied with the specific weightMultiplier per score level.void
reward(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)
Reward a match by theConstraintWeight
multiplied with the weightMultiplier for all score levels.void
reward(org.kie.api.runtime.rule.RuleContext kcontext, long[] hardWeightsMultiplier, long[] softWeightsMultiplier)
Reward a match by theConstraintWeight
multiplied with the specific weightMultiplier per score level.-
Methods inherited from interface org.optaplanner.core.api.score.holder.ScoreHolder
penalize, reward
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Method Detail
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getHardLevelsSize
int getHardLevelsSize()
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getSoftLevelsSize
int getSoftLevelsSize()
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penalize
void penalize(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)
Penalize a match by theConstraintWeight
negated and multiplied with the weightMultiplier for all score levels.- Parameters:
kcontext
- never null, the magic variable in DRLweightMultiplier
- at least 0
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penalize
void penalize(org.kie.api.runtime.rule.RuleContext kcontext, long[] hardWeightsMultiplier, long[] softWeightsMultiplier)
Penalize a match by theConstraintWeight
negated and multiplied with the specific weightMultiplier per score level. Slower thanpenalize(RuleContext, long)
.- Parameters:
kcontext
- never null, the magic variable in DRLhardWeightsMultiplier
- elements at least 0softWeightsMultiplier
- elements at least 0
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reward
void reward(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)
Reward a match by theConstraintWeight
multiplied with the weightMultiplier for all score levels.- Parameters:
kcontext
- never null, the magic variable in DRLweightMultiplier
- at least 0
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reward
void reward(org.kie.api.runtime.rule.RuleContext kcontext, long[] hardWeightsMultiplier, long[] softWeightsMultiplier)
Reward a match by theConstraintWeight
multiplied with the specific weightMultiplier per score level. Slower thanreward(RuleContext, long)
.- Parameters:
kcontext
- never null, the magic variable in DRLhardWeightsMultiplier
- elements at least 0softWeightsMultiplier
- elements at least 0
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impactScore
void impactScore(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)
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addHardConstraintMatch
void addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, int hardLevel, long weight)
- Parameters:
kcontext
- never null, the magic variable in DRLhardLevel
-0 <= hardLevel <
getHardLevelsSize()
. ThescoreLevel
ishardLevel
for hard levels andsoftLevel + hardLevelSize
for soft levels.weight
- higher is better, negative for a penalty, positive for a reward
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addSoftConstraintMatch
void addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, int softLevel, long weight)
- Parameters:
kcontext
- never null, the magic variable in DRLsoftLevel
-0 <= softLevel <
getSoftLevelsSize()
. ThescoreLevel
ishardLevel
for hard levels andsoftLevel + hardLevelSize
for soft levels.weight
- higher is better, negative for a penalty, positive for a reward
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addMultiConstraintMatch
void addMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long[] hardWeights, long[] softWeights)
- Parameters:
kcontext
- never null, the magic variable in DRLhardWeights
- never null, array of lengthgetHardLevelsSize()
softWeights
- never null, array of lengthgetSoftLevelsSize()
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