Package ai.timefold.solver.core.api.score.buildin.bendablelong

Interface BendableLongScoreHolder

All Superinterfaces:

ScoreHolder<BendableLongScore>

@Deprecated(forRemoval=true)
public interface BendableLongScoreHolder
extends ScoreHolder<BendableLongScore>

Deprecated, for removal: This API element is subject to removal in a future version.

Score DRL is deprecated and will be removed in a future major version of Timefold. See DRL to Constraint Streams migration recipe.

See Also:

BendableLongScore

Method Summary

Modifier and Type	Method	Description
void	addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, int hardLevel, long weight)	Deprecated, for removal: This API element is subject to removal in a future version.
void	addMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long[] hardWeights, long[] softWeights)	Deprecated, for removal: This API element is subject to removal in a future version.
void	addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, int softLevel, long weight)	Deprecated, for removal: This API element is subject to removal in a future version.
int	getHardLevelsSize()	Deprecated, for removal: This API element is subject to removal in a future version.
int	getSoftLevelsSize()	Deprecated, for removal: This API element is subject to removal in a future version.
void	impactScore(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)	Deprecated, for removal: This API element is subject to removal in a future version.
void	penalize(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)	Deprecated, for removal: This API element is subject to removal in a future version. 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, long[] hardWeightsMultiplier, long[] softWeightsMultiplier)	Deprecated, for removal: This API element is subject to removal in a future version. 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, long weightMultiplier)	Deprecated, for removal: This API element is subject to removal in a future version. Reward a match by the ConstraintWeight multiplied with the weightMultiplier for all score levels.
void	reward(org.kie.api.runtime.rule.RuleContext kcontext, long[] hardWeightsMultiplier, long[] softWeightsMultiplier)	Deprecated, for removal: This API element is subject to removal in a future version. Reward a match by the ConstraintWeight multiplied with the specific weightMultiplier per score level.

Methods inherited from interface ai.timefold.solver.core.api.score.holder.ScoreHolder

penalize, reward

Method Detail

getHardLevelsSize

int getHardLevelsSize()

Deprecated, for removal: This API element is subject to removal in a future version.

getSoftLevelsSize

int getSoftLevelsSize()

Deprecated, for removal: This API element is subject to removal in a future version.

penalize

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

Deprecated, for removal: This API element is subject to removal in a future version.

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

penalize

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

Deprecated, for removal: This API element is subject to removal in a future version.

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

Parameters:

kcontext - never null, the magic variable in DRL

hardWeightsMultiplier - elements at least 0

softWeightsMultiplier - elements at least 0

reward

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

Deprecated, for removal: This API element is subject to removal in a future version.

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

reward

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

Deprecated, for removal: This API element is subject to removal in a future version.

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

Parameters:

kcontext - never null, the magic variable in DRL

hardWeightsMultiplier - elements at least 0

softWeightsMultiplier - elements at least 0

impactScore

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

Deprecated, for removal: This API element is subject to removal in a future version.

addHardConstraintMatch

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

Deprecated, for removal: This API element is subject to removal in a future version.

Parameters:

kcontext - never null, the magic variable in DRL

hardLevel - 0 <= hardLevel < 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

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

Deprecated, for removal: This API element is subject to removal in a future version.

Parameters:

kcontext - never null, the magic variable in DRL

softLevel - 0 <= softLevel < 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

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

Deprecated, for removal: This API element is subject to removal in a future version.

Parameters:

kcontext - never null, the magic variable in DRL

hardWeights - never null, array of length getHardLevelsSize()

softWeights - never null, array of length getSoftLevelsSize()