Trait

molecule.dsl

Aggregate6

Related Doc: package dsl

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trait Aggregate6[Ns6[_, _, _, _, _, _], A, B, C, D, E, F] extends AnyRef

Linear Supertypes
AnyRef, Any
Known Subclasses
Db_6, Db_In_1_5, Db_In_2_4, Db_In_3_3, In_1_5, In_2_4, In_3_3, Out_6
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Value Members

  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. def apply(v: stddev): Ns6[A, B, C, D, E, Double]

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  5. def apply(v: variance): Ns6[A, B, C, D, E, Double]

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  6. def apply(v: median): Ns6[A, B, C, D, E, F]

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  7. def apply(v: avg): Ns6[A, B, C, D, E, Double]

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  8. def apply(v: sum): Ns6[A, B, C, D, E, F]

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  9. def apply(v: countDistinct): Ns6[A, B, C, D, E, Int]

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  10. def apply(v: count): Ns6[A, B, C, D, E, Int]

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  11. def apply(v: samples): Ns6[A, B, C, D, E, Vector[F]]

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  12. def apply(v: rands): Ns6[A, B, C, D, E, Stream[F]]

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  13. def apply(v: distinct): Ns6[A, B, C, D, E, Vector[F]]

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  14. def apply(v: maxs): Ns6[A, B, C, D, E, Vector[F]]

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  15. def apply(v: mins): Ns6[A, B, C, D, E, Vector[F]]

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  16. def apply(v: sample): Ns6[A, B, C, D, E, F]

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  17. def apply(v: rand): Ns6[A, B, C, D, E, F]

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  18. def apply(v: max): Ns6[A, B, C, D, E, F]

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  19. def apply(v: min): Ns6[A, B, C, D, E, F]

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  20. final def asInstanceOf[T0]: T0

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  21. def clone(): AnyRef

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

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  23. def equals(arg0: Any): Boolean

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  24. def finalize(): Unit

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

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  26. def hashCode(): Int

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  27. final def isInstanceOf[T0]: Boolean

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  28. lazy val length: Ns6[A, B, C, D, E, Int]

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

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  30. final def notify(): Unit

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  31. final def notifyAll(): Unit

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

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  33. def toString(): String

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  34. final def wait(): Unit

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

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

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