Type Parameters:

Score_ - the actual score type to allow addition, subtraction and other arithmetic

All Superinterfaces:

Comparable<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_>
```
A Score is result of the score function (AKA fitness function) on a single possible solution.
Implementations must be immutable.
Implementations are allowed to optionally implement Pareto comparison and therefore slightly violate the transitive requirement of Comparable.compareTo(Object).
An implementation must extend AbstractScore to ensure backwards compatibility in future versions.

See Also:

AbstractScore, HardSoftScore

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`Score_`	`add(Score_ addend)`	Returns a Score whose value is (this + addend).
`Score_`	`divide(double divisor)`	Returns a Score whose value is (this / divisor).
`int`	`getInitScore()`	The init score is the negative of the number of uninitialized genuine planning variables.
`boolean`	`isFeasible()`	A `PlanningSolution` is feasible if it has no broken hard constraints and `isSolutionInitialized()` is true.
`boolean`	`isSolutionInitialized()`	Checks if the `PlanningSolution` of this score was fully initialized when it was calculated.
`default boolean`	`isZero()`
`Score_`	`multiply(double multiplicand)`	Returns a Score whose value is (this * multiplicand).
`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).
`Number[]`	`toLevelNumbers()`	Returns an array of numbers representing the Score.
`String`	`toShortString()`	Like `Object.toString()`, but trims score levels which have a zero weight.
`Score_`	`withInitScore(int newInitScore)`	For example `0hard/-8soft` with `-7` returns `-7init/0hard/-8soft`.
`Score_`	`zero()`	Returns a Score, all levels of which are zero.

Methods inherited from interface java.lang.Comparable
compareTo

- Method Detail
  - getInitScore
```
int getInitScore()
```
    The init score is the negative of the number of uninitialized genuine planning variables. If it's 0 (which it usually is), the PlanningSolution is fully initialized and the score's Object.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
  - isSolutionInitialized
```
boolean isSolutionInitialized()
```
    Checks if the PlanningSolution of this score was fully initialized when it was calculated.
    
    Returns:
    
    true if getInitScore() is 0
  - withInitScore
```
Score_ withInitScore(int newInitScore)
```
    For example 0hard/-8soft with -7 returns -7init/0hard/-8soft.
    
    Parameters:
    
    newInitScore - always negative (except in statistical calculations), 0 if all planning variables are initialized
    
    Returns:
    
    equals score except that getInitScore() is set to newInitScore
  - 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
  - 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
  - multiply
```
Score_ multiply(double multiplicand)
```
    Returns a Score whose value is (this * multiplicand). When rounding is needed, it should be floored (as defined by Math.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
  - divide
```
Score_ divide(double divisor)
```
    Returns a Score whose value is (this / divisor). When rounding is needed, it should be floored (as defined by Math.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
  - power
```
Score_ power(double exponent)
```
    Returns a Score whose value is (this ^ exponent). When rounding is needed, it should be floored (as defined by Math.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
  - negate
```
Score_ negate()
```
    Returns a Score whose value is (- this).
    
    Returns:
    
    - this
  - zero
```
Score_ zero()
```
    Returns a Score, all levels of which are zero.
    
    Returns:
    
    never null
  - isZero
```
default boolean isZero()
```
    Returns:
    
    true when this is equal to zero().
  - 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 specific Score implementation.
    For example: -0hard/-7soft returns new int{-0, -7}
    The level numbers do not contain the getInitScore(). For example: -3init/-0hard/-7soft also returns new int{-0, -7}
    
    Returns:
    
    never null
  - isFeasible
```
boolean isFeasible()
```
    A PlanningSolution is feasible if it has no broken hard constraints and isSolutionInitialized() is true. Simple scores (SimpleScore, SimpleLongScore, SimpleBigDecimalScore) are always feasible, if their getInitScore() is 0.
    
    Returns:
    
    true if the hard score is 0 or higher and the getInitScore() is 0.
  - toShortString
```
String toShortString()
```
    Like Object.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

Interface Score<Score_ extends Score<Score_>>

Method Summary

Methods inherited from interface java.lang.Comparable

Method Detail

getInitScore

isSolutionInitialized

withInitScore

add

subtract

multiply

divide

power

negate

zero

isZero

toLevelNumbers

isFeasible

toShortString