MLton 20180207

# VariableArityPolymorphism

Standard ML programmers often face the problem of how to provide a variable-arity polymorphic function. For example, suppose one is defining a combinator library, e.g. for parsing or pickling. The signature for such a library might look something like the following.

    signature COMBINATOR =
       sig
          type 'a t

          val int: int t
          val real: real t
          val string: string t
          val unit: unit t
          val tuple2: 'a1 t * 'a2 t -> ('a1 * 'a2) t
          val tuple3: 'a1 t * 'a2 t * 'a3 t -> ('a1 * 'a2 * 'a3) t
          val tuple4: 'a1 t * 'a2 t * 'a3 t * 'a4 t
                      -> ('a1 * 'a2 * 'a3 * 'a4) t
          ...
       end

The question is how to define a variable-arity tuple combinator. Traditionally, the only way to take a variable number of arguments in SML is to put the arguments in a list (or vector) and pass that. So, one might define a tuple combinator with the following signature.

    val tupleN: 'a list -> 'a list t

The problem with this approach is that as soon as one places values in a list, they must all have the same type. So, programmers often take an alternative approach, and define a family of tuple<N> functions, as we see in the COMBINATOR signature above.

The family-of-functions approach is ugly for many reasons. First, it clutters the signature with a number of functions when there should really only be one. Second, it is closed, in that there are a fixed number of tuple combinators in the interface, and should a client need a combinator for a large tuple, he is out of luck. Third, this approach often requires a lot of duplicate code in the implementation of the combinators.

Fortunately, using Fold01N and products, one can provide an interface and implementation that solves all these problems. Here is a simple pickling module that converts values to strings.

    structure Pickler =
       struct
          type 'a t = 'a -> string

          val unit = fn () => ""

          val int = Int.toString

          val real = Real.toString

          val string = id

          type 'a accum = 'a * string list -> string list

          val tuple =
             fn z =>
             Fold01N.fold
             {finish = fn ps => fn x => concat (rev (ps (x, []))),
              start = fn p => fn (x, l) => p x :: l,
              zero = unit}
             z

          val ` =
             fn z =>
             Fold01N.step1
             {combine = (fn (p, p') => fn (x & x', l) => p' x' :: "," :: p (x, l))}
             z
       end

If one has n picklers of types

    val p1: a1 Pickler.t
    val p2: a2 Pickler.t
    ...
    val pn: an Pickler.t

then one can construct a pickler for n-ary products as follows.

    tuple `p1 `p2 ... `pn $ : (a1 & a2 & ... & an) Pickler.t

For example, with Pickler in scope, one can prove the following equations.

    "" = tuple $ ()
    "1" = tuple `int $ 1
    "1,2.0" = tuple `int `real $ (1 & 2.0)
    "1,2.0,three" = tuple `int `real `string $ (1 & 2.0 & "three")

Here is the signature for Pickler. It shows why the accum type is useful.

    signature PICKLER =
       sig
          type 'a t

          val int: int t
          val real: real t
          val string: string t
          val unit: unit t

          type 'a accum
          val ` : ('a accum, 'b t, ('a, 'b) prod accum,
                   'z1, 'z2, 'z3, 'z4, 'z5, 'z6, 'z7) Fold01N.step1
          val tuple: ('a t, 'a accum, 'b accum, 'b t, unit t,
                      'z1, 'z2, 'z3, 'z4, 'z5) Fold01N.t
       end

    structure Pickler: PICKLER = Pickler