Type Parameters:

Score_ - the Score type

All Known Subinterfaces:

PlanningScore.NullScoreDefinition

All Known Implementing Classes:

AbstractBendableScoreDefinition, AbstractScoreDefinition, BendableBigDecimalScoreDefinition, BendableLongScoreDefinition, BendableScoreDefinition, HardMediumSoftBigDecimalScoreDefinition, HardMediumSoftLongScoreDefinition, HardMediumSoftScoreDefinition, HardSoftBigDecimalScoreDefinition, HardSoftLongScoreDefinition, HardSoftScoreDefinition, SimpleBigDecimalScoreDefinition, SimpleLongScoreDefinition, SimpleScoreDefinition
```
public interface ScoreDefinition<Score_ extends Score<Score_>>
```
A ScoreDefinition knows how to compare Scores and what the perfect maximum/minimum Score is.

See Also:

AbstractScoreDefinition, HardSoftScoreDefinition

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`Score_`	`buildOptimisticBound(InitializingScoreTrend initializingScoreTrend, Score_ score)`	Builds a `Score` which is equal or better than any other `Score` with more variables initialized (while the already variables don't change).
`Score_`	`buildPessimisticBound(InitializingScoreTrend initializingScoreTrend, Score_ score)`	Builds a `Score` which is equal or worse than any other `Score` with more variables initialized (while the already variables don't change).
`Score_`	`divideBySanitizedDivisor(Score_ dividend, Score_ divisor)`	Return `Score` whose every level is the result of dividing the matching levels in this and the divisor.
`String`	`formatScore(Score_ score)`	Returns a `String` representation of the `Score`.
`Score_`	`fromLevelNumbers(int initScore, Number[] levelNumbers)`	The opposite of `Score.toLevelNumbers()`.
`int`	`getFeasibleLevelsSize()`	Returns the number of levels of `Score.toLevelNumbers()`.
`String`	`getInitLabel()`	Returns the label for `Score.getInitScore()`.
`String[]`	`getLevelLabels()`	Returns a label for each score level.
`int`	`getLevelsSize()`	Returns the length of `Score.toLevelNumbers()` for every `Score` of this definition.
`Score_`	`getOneSoftestScore()`	The score that represents the softest possible one.
`Class<Score_>`	`getScoreClass()`	Returns the `Class` of the actual `Score` implementation.
`Score_`	`getZeroScore()`	The score that represents zero.
`boolean`	`isCompatibleArithmeticArgument(Score score)`
`default boolean`	`isNegativeOrZero(Score_ score)`
`default boolean`	`isPositiveOrZero(Score_ score)`
`Score_`	`parseScore(String scoreString)`	Parses the `String` and returns a `Score`.

- Method Detail
  - getInitLabel
```
String getInitLabel()
```
    Returns the label for Score.getInitScore().
    
    Returns:
    
    never null
    
    See Also:
    
    getLevelLabels()
  - getLevelsSize
```
int getLevelsSize()
```
    Returns the length of Score.toLevelNumbers() for every Score of this definition. For example: returns 2 on HardSoftScoreDefinition.
    
    Returns:
    
    at least 1
  - getFeasibleLevelsSize
```
int getFeasibleLevelsSize()
```
    Returns the number of levels of Score.toLevelNumbers(). that are used to determine Score.isFeasible().
    
    Returns:
    
    at least 0, at most getLevelsSize()
  - getLevelLabels
```
String[] getLevelLabels()
```
    Returns a label for each score level. Each label includes the suffix "score" and must start in lower case. For example: returns {"hard score", "soft score "} on HardSoftScoreDefinition.
    It does not include the getInitLabel().
    
    Returns:
    
    never null, array with length of getLevelsSize(), each element is never null
  - getScoreClass
```
Class<Score_> getScoreClass()
```
    Returns the Class of the actual Score implementation. For example: returns HardSoftScore.class on HardSoftScoreDefinition.
    
    Returns:
    
    never null
  - getZeroScore
```
Score_ getZeroScore()
```
    The score that represents zero.
    
    Returns:
    
    never null
  - getOneSoftestScore
```
Score_ getOneSoftestScore()
```
    The score that represents the softest possible one.
    
    Returns:
    
    never null
  - isPositiveOrZero
```
default boolean isPositiveOrZero(Score_ score)
```
    Parameters:
    
    score - never null
    
    Returns:
    
    true if the score is higher or equal to getZeroScore()
  - isNegativeOrZero
```
default boolean isNegativeOrZero(Score_ score)
```
    Parameters:
    
    score - never null
    
    Returns:
    
    true if the score is lower or equal to getZeroScore()
  - formatScore
```
String formatScore(Score_ score)
```
    Returns a String representation of the Score.
    
    Parameters:
    
    score - never null
    
    Returns:
    
    never null
    
    See Also:
    
    parseScore(String)
  - parseScore
```
Score_ parseScore(String scoreString)
```
    Parses the String and returns a Score.
    
    Parameters:
    
    scoreString - never null
    
    Returns:
    
    never null
    
    See Also:
    
    formatScore(Score), ScoreUtils.parseScore(Class, String)
  - fromLevelNumbers
```
Score_ fromLevelNumbers(int initScore,
                        Number[] levelNumbers)
```
    The opposite of Score.toLevelNumbers().
    
    Parameters:
    
    initScore - <= 0, managed by OptaPlanner, needed as a parameter in the Score's creation method, see Score.getInitScore()
    
    levelNumbers - never null
    
    Returns:
    
    never null
  - buildOptimisticBound
```
Score_ buildOptimisticBound(InitializingScoreTrend initializingScoreTrend,
                            Score_ score)
```
    Builds a Score which is equal or better than any other Score with more variables initialized (while the already variables don't change).
    
    Parameters:
    
    initializingScoreTrend - never null, with InitializingScoreTrend.getLevelsSize() equal to getLevelsSize().
    
    score - never null, with Score.getInitScore() 0.
    
    Returns:
    
    never null
  - buildPessimisticBound
```
Score_ buildPessimisticBound(InitializingScoreTrend initializingScoreTrend,
                             Score_ score)
```
    Builds a Score which is equal or worse than any other Score with more variables initialized (while the already variables don't change).
    
    Parameters:
    
    initializingScoreTrend - never null, with InitializingScoreTrend.getLevelsSize() equal to getLevelsSize().
    
    score - never null, with Score.getInitScore() 0
    
    Returns:
    
    never null
  - divideBySanitizedDivisor
```
Score_ divideBySanitizedDivisor(Score_ dividend,
                                Score_ divisor)
```
    Return Score whose every level is the result of dividing the matching levels in this and the divisor. When rounding is needed, it is floored (as defined by Math.floor(double)).
    If any of the levels in the divisor are equal to zero, the method behaves as if they were equal to one instead.
    
    Parameters:
    
    divisor - value by which this Score is to be divided
    
    Returns:
    
    this / divisor
  - isCompatibleArithmeticArgument
```
boolean isCompatibleArithmeticArgument(Score score)
```
    Parameters:
    
    score - never null
    
    Returns:
    
    true if the otherScore is accepted as a parameter of Score.add(Score), Score.subtract(Score) and Comparable.compareTo(Object) for scores of this score definition.

Interface ScoreDefinition<Score_ extends Score<Score_>>

Method Summary

Method Detail

getInitLabel

getLevelsSize

getFeasibleLevelsSize

getLevelLabels

getScoreClass

getZeroScore

getOneSoftestScore

isPositiveOrZero

isNegativeOrZero

formatScore

parseScore

fromLevelNumbers

buildOptimisticBound

buildPessimisticBound

divideBySanitizedDivisor

isCompatibleArithmeticArgument