Package org.optaplanner.constraint.drl.holder

Class BendableScoreHolderImpl

java.lang.Object

org.optaplanner.constraint.drl.holder.AbstractScoreHolder<BendableScore>

org.optaplanner.constraint.drl.holder.BendableScoreHolderImpl

All Implemented Interfaces:

BendableScoreHolder, ScoreHolder<BendableScore>

public final class BendableScoreHolderImpl
extends AbstractScoreHolder<BendableScore>
implements BendableScoreHolder

See Also:

BendableScore

Nested Class Summary

Nested classes/interfaces inherited from class org.optaplanner.constraint.drl.holder.AbstractScoreHolder

AbstractScoreHolder.BigDecimalMatchExecutor, AbstractScoreHolder.ConstraintActivationUnMatchListener, AbstractScoreHolder.IntMatchExecutor, AbstractScoreHolder.LongMatchExecutor, AbstractScoreHolder.ScoreMatchExecutor<Score_ extends AbstractScore<Score_>>

Field Summary

Fields

Modifier and Type	Field	Description
protected Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.IntMatchExecutor>	matchExecutorByNumberMap
protected Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.ScoreMatchExecutor<BendableScore>>	matchExecutorByScoreMap	Slower than matchExecutorByNumberMap

Fields inherited from class org.optaplanner.constraint.drl.holder.AbstractScoreHolder

constraintMatchEnabled, constraintMatchTotalMap, indictmentMap

Constructor Summary

Constructors

Constructor	Description
BendableScoreHolderImpl(boolean constraintMatchEnabled, int hardLevelsSize, int softLevelsSize)

Method Summary

Modifier and Type	Method	Description
void	addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, int hardLevel, int weight)
void	addMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, int[] hardWeights, int[] softWeights)
void	addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, int softLevel, int weight)
void	configureConstraintWeight(org.kie.api.definition.rule.Rule rule, BendableScore constraintWeight)
BendableScore	extractScore(int initScore)
int	getHardLevelsSize()
int	getHardScore(int hardLevel)
int	getSoftLevelsSize()
int	getSoftScore(int softLevel)
void	impactScore(org.kie.api.runtime.rule.RuleContext kcontext)	For internal use only, use penalize() or reward() instead.
void	impactScore(org.kie.api.runtime.rule.RuleContext kcontext, int weightMultiplier)	For internal use only, use penalize() or reward() instead.
void	impactScore(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)	For internal use only, use penalize() or reward() instead.
void	impactScore(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal weightMultiplier)	For internal use only, use penalize() or reward() instead.
void	penalize(org.kie.api.runtime.rule.RuleContext kcontext)	Penalize a match by the ConstraintWeight negated.
void	penalize(org.kie.api.runtime.rule.RuleContext kcontext, int weightMultiplier)	Penalize a match by the ConstraintWeight negated and multiplied with the weightMultiplier for all score levels.
void	penalize(org.kie.api.runtime.rule.RuleContext kcontext, int[] hardWeightsMultiplier, int[] softWeightsMultiplier)	Penalize a match by the ConstraintWeight negated and multiplied with the specific weightMultiplier per score level.
void	reward(org.kie.api.runtime.rule.RuleContext kcontext)	Reward a match by the ConstraintWeight.
void	reward(org.kie.api.runtime.rule.RuleContext kcontext, int weightMultiplier)	Reward a match by the ConstraintWeight multiplied with the weightMultiplier for all score levels.
void	reward(org.kie.api.runtime.rule.RuleContext kcontext, int[] hardWeightsMultiplier, int[] softWeightsMultiplier)	Reward a match by the ConstraintWeight multiplied with the specific weightMultiplier per score level.

Methods inherited from class org.optaplanner.constraint.drl.holder.AbstractScoreHolder

buildScoreHolder, extractJustificationList, getConstraintMatchTotalMap, getIndictmentMap, isConstraintMatchEnabled, registerConstraintMatch

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

matchExecutorByNumberMap

protected final Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.IntMatchExecutor> matchExecutorByNumberMap

matchExecutorByScoreMap

protected final Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.ScoreMatchExecutor<BendableScore>> matchExecutorByScoreMap

Slower than matchExecutorByNumberMap

Constructor Detail

BendableScoreHolderImpl

public BendableScoreHolderImpl(boolean constraintMatchEnabled,
                               int hardLevelsSize,
                               int softLevelsSize)

Method Detail

getHardLevelsSize

public int getHardLevelsSize()

Specified by:

getHardLevelsSize in interface BendableScoreHolder

getHardScore

public int getHardScore(int hardLevel)

getSoftLevelsSize

public int getSoftLevelsSize()

Specified by:

getSoftLevelsSize in interface BendableScoreHolder

getSoftScore

public int getSoftScore(int softLevel)

configureConstraintWeight

public void configureConstraintWeight(org.kie.api.definition.rule.Rule rule,
                                      BendableScore constraintWeight)

Overrides:

configureConstraintWeight in class AbstractScoreHolder<BendableScore>

penalize

public void penalize(org.kie.api.runtime.rule.RuleContext kcontext)

Description copied from interface: ScoreHolder

Penalize a match by the ConstraintWeight negated.

Specified by:

penalize in interface ScoreHolder<BendableScore>

Parameters:

kcontext - never null, the magic variable in DRL

penalize

public void penalize(org.kie.api.runtime.rule.RuleContext kcontext,
                     int weightMultiplier)

Description copied from interface: BendableScoreHolder

Penalize a match by the ConstraintWeight negated and multiplied with the weightMultiplier for all score levels.

Specified by:

penalize in interface BendableScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

weightMultiplier - at least 0

penalize

public void penalize(org.kie.api.runtime.rule.RuleContext kcontext,
                     int[] hardWeightsMultiplier,
                     int[] softWeightsMultiplier)

Description copied from interface: BendableScoreHolder

Penalize a match by the ConstraintWeight negated and multiplied with the specific weightMultiplier per score level. Slower than BendableScoreHolder.penalize(RuleContext, int).

Specified by:

penalize in interface BendableScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

hardWeightsMultiplier - elements at least 0

softWeightsMultiplier - elements at least 0

reward

public void reward(org.kie.api.runtime.rule.RuleContext kcontext)

Description copied from interface: ScoreHolder

Reward a match by the ConstraintWeight.

Specified by:

reward in interface ScoreHolder<BendableScore>

Parameters:

kcontext - never null, the magic variable in DRL

reward

public void reward(org.kie.api.runtime.rule.RuleContext kcontext,
                   int weightMultiplier)

Description copied from interface: BendableScoreHolder

Reward a match by the ConstraintWeight multiplied with the weightMultiplier for all score levels.

Specified by:

reward in interface BendableScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

weightMultiplier - at least 0

reward

public void reward(org.kie.api.runtime.rule.RuleContext kcontext,
                   int[] hardWeightsMultiplier,
                   int[] softWeightsMultiplier)

Description copied from interface: BendableScoreHolder

Reward a match by the ConstraintWeight multiplied with the specific weightMultiplier per score level. Slower than BendableScoreHolder.reward(RuleContext, int).

Specified by:

reward in interface BendableScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

hardWeightsMultiplier - elements at least 0

softWeightsMultiplier - elements at least 0

impactScore

public void impactScore(org.kie.api.runtime.rule.RuleContext kcontext)

Description copied from class: AbstractScoreHolder

For internal use only, use penalize() or reward() instead.

Overrides:

impactScore in class AbstractScoreHolder<BendableScore>

Parameters:

kcontext - never null

impactScore

public void impactScore(org.kie.api.runtime.rule.RuleContext kcontext,
                        int weightMultiplier)

Description copied from class: AbstractScoreHolder

For internal use only, use penalize() or reward() instead.

Specified by:

impactScore in interface BendableScoreHolder

Specified by:

impactScore in class AbstractScoreHolder<BendableScore>

Parameters:

kcontext - never null

weightMultiplier - any

impactScore

public void impactScore(org.kie.api.runtime.rule.RuleContext kcontext,
                        long weightMultiplier)

Description copied from class: AbstractScoreHolder

For internal use only, use penalize() or reward() instead.

Specified by:

impactScore in class AbstractScoreHolder<BendableScore>

Parameters:

kcontext - never null

weightMultiplier - any

impactScore

public void impactScore(org.kie.api.runtime.rule.RuleContext kcontext,
                        BigDecimal weightMultiplier)

Description copied from class: AbstractScoreHolder

For internal use only, use penalize() or reward() instead.

Specified by:

impactScore in class AbstractScoreHolder<BendableScore>

Parameters:

kcontext - never null

weightMultiplier - any

addHardConstraintMatch

public void addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
                                   int hardLevel,
                                   int weight)

Specified by:

addHardConstraintMatch in interface BendableScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

hardLevel - 0 <= hardLevel < BendableScoreHolder.getHardLevelsSize(). The scoreLevel is hardLevel for hard levels and softLevel + hardLevelSize for soft levels.

weight - higher is better, negative for a penalty, positive for a reward

addSoftConstraintMatch

public void addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
                                   int softLevel,
                                   int weight)

Specified by:

addSoftConstraintMatch in interface BendableScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

softLevel - 0 <= softLevel < BendableScoreHolder.getSoftLevelsSize(). The scoreLevel is hardLevel for hard levels and softLevel + hardLevelSize for soft levels.

weight - higher is better, negative for a penalty, positive for a reward

addMultiConstraintMatch

public void addMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
                                    int[] hardWeights,
                                    int[] softWeights)

Specified by:

addMultiConstraintMatch in interface BendableScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

hardWeights - never null, array of length BendableScoreHolder.getHardLevelsSize()

softWeights - never null, array of length BendableScoreHolder.getSoftLevelsSize()

extractScore

public BendableScore extractScore(int initScore)

Specified by:

extractScore in class AbstractScoreHolder<BendableScore>