SimpleLongScoreHolder (OptaPlanner Javadoc 8.17.0.Final API)

All Superinterfaces:

ScoreHolder<SimpleLongScore>

All Known Implementing Classes:

SimpleLongScoreHolderImpl
```
public interface SimpleLongScoreHolder
extends ScoreHolder<SimpleLongScore>
```
See Also:

SimpleLongScore

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`void`	`addConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long weight)`
`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 the `ConstraintWeight` negated and multiplied with the weightMultiplier for all score levels.
`void`	`reward(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)`	Reward a match by the `ConstraintWeight` multiplied with the weightMultiplier for all score levels.

Methods inherited from interface org.optaplanner.core.api.score.holder.ScoreHolder
penalize, reward

- Method Detail
  - penalize
```
void penalize(org.kie.api.runtime.rule.RuleContext kcontext,
              long weightMultiplier)
```
    Penalize a match by the ConstraintWeight negated and multiplied with the weightMultiplier for all score levels.
    
    Parameters:
    
    kcontext - never null, the magic variable in DRL
    
    weightMultiplier - at least 0
  - reward
```
void reward(org.kie.api.runtime.rule.RuleContext kcontext,
            long weightMultiplier)
```
    Reward a match by the ConstraintWeight multiplied with the weightMultiplier for all score levels.
    
    Parameters:
    
    kcontext - never null, the magic variable in DRL
    
    weightMultiplier - at least 0
  - impactScore
```
void impactScore(org.kie.api.runtime.rule.RuleContext kcontext,
                 long weightMultiplier)
```
  - addConstraintMatch
```
void addConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
                        long weight)
```
    Parameters:
    
    kcontext - never null, the magic variable in DRL
    
    weight - higher is better, negative for a penalty, positive for a reward