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Article: Defunctionalisation

· 2 min read
Manas Jayanth
Managing Partner at Dining Philosophers, LLP.
Srijan Paul
CS and Math enthusiast

injuly proposed a talk on defunctionalisation in compilers - this rehashes his post defunctionalisation, but in OCaml. We recommend you read his post first and switch to this article to compare the OCaml implementation.

Higher order functions

let rec fold f acc = function
| [] -> acc
| x::xs -> f x (fold f acc xs)

let sum xs = fold (+) 0 xs
let add n xs = fold (fun x acc -> (x + n)::acc) [] xs

fold is the higher order function because it takes another function (possibly higher order), f.

The GADT representation of functions like function arguments

type ('env, 'params, 'return) arrow =
| FnPlus : int * int -> (unit, (int * int), int) arrow
| FnPlusCons : int * (int * int list) -> (int, (int * int list), int list) arrow

('env, 'params, 'return) arrow encodes functions that can be passed around as arguments to other functions.

fold (+) 0 xs could be expressed as fold (FnPlus (0, xs)) fold (fun x acc -> (x + n :: acc) could be expressed as fold (FnPlusCons (n, (x, acc)) where n is the free variable.

These representations can be evaluated with apply

let apply : type env params return.  (env, params, return) arrow -> return = fun arrow ->
match arrow with
| FnPlus (a, b) -> a + b
| FnPlusCons (n, (x, xs)) -> (n + x)::xs

Example output

utop[41]> apply (FnPlus (1, 2));;
- : int = 3
utop[42]> apply (FnPlusCons (10, (1, [2;3])));;
- : int args = [11; 2; 3]
utop[43]>

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