Interface Score<Score_ extends Score<Score_>>
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- Type Parameters:
Score_- the actual score type to allow addition, subtraction and other arithmetic
- All Superinterfaces:
Comparable<Score_>,Serializable
- All Known Subinterfaces:
IBendableScore<Score_>
- All Known Implementing Classes:
AbstractBendableScore,AbstractScore,BendableBigDecimalScore,BendableLongScore,BendableScore,HardMediumSoftBigDecimalScore,HardMediumSoftLongScore,HardMediumSoftScore,HardSoftBigDecimalScore,HardSoftLongScore,HardSoftScore,SimpleBigDecimalScore,SimpleLongScore,SimpleScore
public interface Score<Score_ extends Score<Score_>> extends Comparable<Score_>, Serializable
A Score is result of the score function (AKA fitness function) on a single possible solution.- See Also:
HardSoftScore
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Method Summary
All Methods Instance Methods Abstract Methods Default Methods Deprecated Methods Modifier and Type Method Description Score_abs()Returns a Score whose value is the absolute value of the score, i.e.Score_add(Score_ addend)Returns a Score whose value is (this + addend).Score_divide(double divisor)Returns a Score whose value is (this / divisor).default intgetInitScore()Deprecated, for removal: This API element is subject to removal in a future version.UseinitScore()instead.default intinitScore()The init score is the negative of the number of uninitialized genuine planning variables.booleanisFeasible()APlanningSolutionis feasible if it has no broken hard constraints andisSolutionInitialized()is true.default booleanisSolutionInitialized()Checks if thePlanningSolutionof this score was fully initialized when it was calculated.default booleanisZero()Score_multiply(double multiplicand)Returns a Score whose value is (this * multiplicand).default Score_negate()Returns a Score whose value is (- this).Score_power(double exponent)Returns a Score whose value is (this ^ exponent).Score_subtract(Score_ subtrahend)Returns a Score whose value is (this - subtrahend).default double[]toLevelDoubles()As defined bytoLevelNumbers(), only returns double[] instead of Number[].Number[]toLevelNumbers()Returns an array of numbers representing the Score.StringtoShortString()LikeObject.toString(), but trims score levels which have a zero weight.Score_withInitScore(int newInitScore)For example0hard/-8softwith-7returns-7init/0hard/-8soft.Score_zero()Returns a Score, all levels of which are zero.-
Methods inherited from interface java.lang.Comparable
compareTo
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Method Detail
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initScore
default int initScore()
The init score is the negative of the number of uninitialized genuine planning variables. If it's 0 (which it usually is), thePlanningSolutionis fully initialized and the score'sObject.toString()does not mention it.During
Comparable.compareTo(Object), it's even more important than the hard score: if you don't want this behaviour, read about overconstrained planning in the reference manual.- Returns:
- higher is better, always negative (except in statistical calculations), 0 if all planning variables are initialized
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getInitScore
@Deprecated(forRemoval=true) default int getInitScore()
Deprecated, for removal: This API element is subject to removal in a future version.UseinitScore()instead.As defined byinitScore().
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withInitScore
Score_ withInitScore(int newInitScore)
For example0hard/-8softwith-7returns-7init/0hard/-8soft.- Parameters:
newInitScore- always negative (except in statistical calculations), 0 if all planning variables are initialized- Returns:
- equals score except that
initScore()is set tonewInitScore
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add
Score_ add(Score_ addend)
Returns a Score whose value is (this + addend).- Parameters:
addend- value to be added to this Score- Returns:
- this + addend
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subtract
Score_ subtract(Score_ subtrahend)
Returns a Score whose value is (this - subtrahend).- Parameters:
subtrahend- value to be subtracted from this Score- Returns:
- this - subtrahend, rounded as necessary
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multiply
Score_ multiply(double multiplicand)
Returns a Score whose value is (this * multiplicand). When rounding is needed, it should be floored (as defined byMath.floor(double)).If the implementation has a scale/precision, then the unspecified scale/precision of the double multiplicand should have no impact on the returned scale/precision.
- Parameters:
multiplicand- value to be multiplied by this Score.- Returns:
- this * multiplicand
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divide
Score_ divide(double divisor)
Returns a Score whose value is (this / divisor). When rounding is needed, it should be floored (as defined byMath.floor(double)).If the implementation has a scale/precision, then the unspecified scale/precision of the double divisor should have no impact on the returned scale/precision.
- Parameters:
divisor- value by which this Score is to be divided- Returns:
- this / divisor
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power
Score_ power(double exponent)
Returns a Score whose value is (this ^ exponent). When rounding is needed, it should be floored (as defined byMath.floor(double)).If the implementation has a scale/precision, then the unspecified scale/precision of the double exponent should have no impact on the returned scale/precision.
- Parameters:
exponent- value by which this Score is to be powered- Returns:
- this ^ exponent
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negate
default Score_ negate()
Returns a Score whose value is (- this).- Returns:
- - this
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abs
Score_ abs()
Returns a Score whose value is the absolute value of the score, i.e. |this|.- Returns:
- never null
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zero
Score_ zero()
Returns a Score, all levels of which are zero.- Returns:
- never null
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isZero
default boolean isZero()
- Returns:
- true when this
is equal tozero().
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toLevelNumbers
Number[] toLevelNumbers()
Returns an array of numbers representing the Score. Each number represents 1 score level. A greater score level uses a lower array index than a lesser score level.When rounding is needed, each rounding should be floored (as defined by
Math.floor(double)). The length of the returned array must be stable for a specificScoreimplementation.For example:
-0hard/-7softreturnsnew int{-0, -7}The level numbers do not contain the
initScore(). For example:-3init/-0hard/-7softalso returnsnew int{-0, -7}- Returns:
- never null
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toLevelDoubles
default double[] toLevelDoubles()
As defined bytoLevelNumbers(), only returns double[] instead of Number[].- Returns:
- never null
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isSolutionInitialized
default boolean isSolutionInitialized()
Checks if thePlanningSolutionof this score was fully initialized when it was calculated.- Returns:
- true if
initScore()is 0
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isFeasible
boolean isFeasible()
APlanningSolutionis feasible if it has no broken hard constraints andisSolutionInitialized()is true. Simple scores (SimpleScore,SimpleLongScore,SimpleBigDecimalScore) are always feasible, if theirinitScore()is 0.- Returns:
- true if the hard score is 0 or higher and the
initScore()is 0.
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toShortString
String toShortString()
LikeObject.toString(), but trims score levels which have a zero weight. For example 0hard/-258soft returns -258soft.Do not use this format to persist information as text, use
Object.toString()instead, so it can be parsed reliably.- Returns:
- never null
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