Haskell type system nuances

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后悔当初
后悔当初 2021-02-13 20:13

I\'ve been getting into the nitty gritty of the haskell typesystem and trying to get at the fine points of type classes. I\'ve learned a heap, but I\'m hitting a wall on the fol

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  •  不知归路
    2021-02-13 20:15

    This is a variant of the notorious show . read problem. The classic version uses

    read :: Read a => String -> a
    show :: Show a => a -> String
    

    so the composition might seem to be a plain old String transducer

    moo :: String -> String
    moo = show . read
    

    except that there is no information in the program to determine the type in the middle, hence what to read and then show.

    Ambiguous type variable `b' in the constraints:
      `Read b' arising from a use of `read' at ...
      `Show b' arising from a use of `show' at ...
    Probable fix: add a type signature that fixes these type variable(s)
    

    Please not that ghci does a bunch of crazy extra defaulting, resolving ambiguity arbitrarily.

    > (show . read) "()"
    "()"
    

    Your C class is a variant of Read, except that it decodes an Int instead of reading a String, but the problem is essentially the same.

    Type system enthusiasts will note that underconstrained type variables are not per se a big deal. It's ambiguous instance inference that's the issue here. Consider

    poo :: String -> a -> a
    poo _ = id
    
    qoo :: (a -> a) -> String
    qoo _ = ""
    
    roo :: String -> String
    roo = qoo . poo
    

    In the construction of roo, it is never determined what the type in the middle must be, nor is roo polymorphic in that type. Type inference neither solves nor generalizes the variable! Even so,

    > roo "magoo"
    ""
    

    it's not a problem, because the construction is parametric in the unknown type. The fact that the type cannot be determined has the consequence that the type cannot matter.

    But unknown instances clearly do matter. The completeness result for Hindley-Milner type inference relies on parametricity and is thus lost when we add overloading. Let us not weep for it.

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