I'm trying out a very light-weight encoding of combinator calculus in scala. Initially, I'm simply implementing the S and K combinators, application and constant values. Later I hope to lift scala functions in and allow evaluation of an expression as a scala function. However, that's for later. Here is what I have so far.
/** Combinator expression */
sealed abstract class CE
/** Application: CE| (x y) <=> LC| (x:(A=>B) y:A) : B */
case class Ap[A <: CE, B <: CE, X](e1: A, e2: B) extends CE
/** A raw value with type */
case class Value[T](v: T) extends CE
/** Some combinator */
sealed abstract class Comb extends CE
/** The S combinator: CE| S x y z
* LC| λx:(A=>B=>C).λy:(A=>B).λz:A.(x z (y z)) : C
* S : ∀A.∀B.∀C. (A => B => C) => (A => B) => A => C
*/
case object S extends Comb
/** The K combinator: CE| K x y
* LC| λx:A.λy:B.x:A : A
* K : ∀A => ∀B => A
*/
case object K extends Comb
Now I would like to do some type inference over this. For simplicity of implementing small- and large-step reduction, the data model is untyped, so I'd like types to be external to this structure. Let's introduce something to hold the type information.
trait TypeOf { type typeOf }
The Value type is easy.
implicit def typeOfValue[T](vt: Value[T]) : TypeOf =
new TypeOf { type typeOf = T }
Application is a little more tricky, but basically boils down to function application. Let's introduce a type ⊃ for combinator application, to avoid confusion with normal scala application.
/** Combinator application */
class ⊃[+S, -T]
implicit def typeOfAp[Ap[A, B], A <: CE, B <: CE], X, Y](Ap(A, B)
(implicit aIsFXY: A#typeOf =:= (X⊃Y), bIsX: B#typeOf =:= X) : TypeOf =
{ type typeOf = Y }
This is where I get stuck. I need to represent the type of the S an