Packages

c

provingground.learning.GeneratorNode

RecursiveThenCondition

case class RecursiveThenCondition[State, O, Y](gen: RecursiveGeneratorNode[State, O], output: RandomVar[Y], condition: Sort[O, Y]) extends RecursiveGeneratorNode[State, Y] with ThenCondition[O, Y] with Product with Serializable

Linear Supertypes
Serializable, Product, Equals, ThenCondition[O, Y], RecursiveGeneratorNode[State, Y], RecursiveGeneratorNodeFamily[HNil, State, Y], GeneratorNode[Y], GeneratorNodeFamily[HNil, Y], AnyRef, Any
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Inherited
  1. RecursiveThenCondition
  2. Serializable
  3. Product
  4. Equals
  5. ThenCondition
  6. RecursiveGeneratorNode
  7. RecursiveGeneratorNodeFamily
  8. GeneratorNode
  9. GeneratorNodeFamily
  10. AnyRef
  11. Any
Implicitly
  1. by any2stringadd
  2. by StringFormat
  3. by Ensuring
  4. by ArrowAssoc
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new RecursiveThenCondition(gen: RecursiveGeneratorNode[State, O], output: RandomVar[Y], condition: Sort[O, Y])

Value Members

  1. val condition: Sort[O, Y]
  2. val gen: RecursiveGeneratorNode[State, O]
  3. val output: RandomVar[Y]
  4. val outputFamily: RandomVar[Y]

    the family of random variables for which this is a generation.

    the family of random variables for which this is a generation.

    Definition Classes
    GeneratorNodeGeneratorNodeFamily
  5. def pi[D, S >: Y, T](conditionFamily: (D) => Sort[S, T], outputFamily: RandomVarFamily[::[D, HNil], T]): GeneratorNodeFamily[::[D, HNil], T]
    Definition Classes
    GeneratorNode
  6. def piFmly[Dom <: HList, S >: Y, T](conditionFamily: (Dom) => Sort[S, T], outputFamily: RandomVarFamily[Dom, T]): GeneratorNodeFamily[Dom, T]
    Definition Classes
    GeneratorNode
  7. def productElementNames: Iterator[String]
    Definition Classes
    Product
  8. def |[S >: Y, T](condition: Sort[S, T], output: RandomVar[T]): GeneratorNode[T]
    Definition Classes
    GeneratorNode