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Editorial Team
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Editorial Team
Asked: May 16, 20262026-05-16T06:22:32+00:00 2026-05-16T06:22:32+00:00

I’m working on an experimental programming language that has global polymorphic type inference. I

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I’m working on an experimental programming language that has global polymorphic type inference.

I recently got the algorithm working sufficiently well to correctly type the bits of sample code I’m throwing at it. I’m now looking for something more complex that will exercise the edge cases.

Can anyone point me at a source of really gnarly and horrible code fragments that I can use for this? I’m sure the functional programming world has plenty. I’m particularly looking for examples that do evil things with function recursion, as I need to check to make sure that function expansion terminates correctly, but anything’s good — I need to build a test suite. Any suggestions?

My language is largely imperative, but any ML-style code ought to be easy to convert.

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  1. Editorial Team
    Editorial Team
    2026-05-16T06:22:33+00:00Added an answer on May 16, 2026 at 6:22 am

    My general strategy is actually to approach it from the opposite direction — ensure that it rejects incorrect things!

    That said, here are some standard “confirmation” tests I usually use:

    The eager fix point combinator (unashamedly stolen from here):

    datatype 'a t = T of 'a t -> 'a
    
    val y = fn f => (fn (T x) => (f (fn a => x (T x) a)))
                   (T (fn (T x) => (f (fn a => x (T x) a))))
    

    Obvious mutual recursion:

    fun f x = g (f x)
    and g x = f (g x)
    

    Check out those deeply nested let expressions too:

    val a = let
       val b = let 
          val c = let
             val d = let
                val e = let
                   val f = let
                      val g = let
                         val h = fn x => x + 1
                      in h end
                   in g end
                in f end
             in e end
          in d end
       in c end
    in b end
    

    Deeply nested higher order functions!

    fun f g h i j k l m n = 
       fn x => fn y => fn z => x o g o h o i o j o k o l o m o n o x o y o z
    

    I don’t know if you have to have the value restriction in order to incorporate mutable references. If so, see what happens:

    fun map' f [] = []
      | map' f (h::t) = f h :: map' f t
    
    fun rev' [] = []
      | rev' (h::t) = rev' t @ [h]
    
    val x = map' rev'
    

    You might need to implement map and rev in the standard way 🙂

    Then with actual references lying around (stolen from here):

    val stack =
    let val stk = ref [] in
      {push = fn x => stk := x :: !stk,
       pop  = fn () => stk := tl (!stk),
       top  = fn () => hd (!stk)}
    end
    

    Hope these help in some way. Make sure to try to build a set of regression tests you can re-run in some automatic fashion to ensure that all of your type inference behaves correctly through all changes you make 🙂

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