LevenhsteinCosts

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1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. final def eq(arg0: AnyRef): Boolean

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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9. final def getClass(): Class[_]

   

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10. def hashCode(): Int

    

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11. def insertionDeletionCost(c: T): Int

    
    returns

    the cost of an insertion or deletion

    Definition Classes

    LevenhsteinCosts → EditDistanceCosts

12. final def isInstanceOf[T0]: Boolean

    

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13. def lowerCost(a: T, b: T, del: Int, subst: Int, ins: Int): EditDistanceOp

    
    returns

    the lower cost and associated operation of a deletion, substitution or insertion in case of equality between a non-substitution and an insertion/suppression we select the insertion/suppression in order to group all the differences together diff("abcd", "acbd") ==> ("a[bc]d", "a[cb]d"). the distance is 2, otherwise diff("abcd", "acbd") ==> ("a[b]c[]d", "a[c]b[]d")

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    LevenhsteinCosts → EditDistanceCosts

14. final def ne(arg0: AnyRef): Boolean

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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17. def substitutionCost(a: T, b: T): Int

    
    returns

    the cost of a substitution

    Definition Classes

    LevenhsteinCosts → EditDistanceCosts

18. final def synchronized[T0](arg0: ⇒ T0): T0

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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21. final def wait(arg0: Long, arg1: Int): Unit

    

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22. final def wait(arg0: Long): Unit

    

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