haskellimperative-programming

Why is Haskell (sometimes) referred to as "Best Imperative Language"?


(I hope this question is on-topic -- I tried searching for an answer but didn't find a definitive answer. If this happens to be off-topic or already answered, please moderate/remove it.)

I remember having heard/read the half-joking comment about Haskell being the best imperative language a few times, which of course sounds weird as Haskell is usually best known for its functional features.

So my question is, what qualities/features (if any) of Haskell give reason to justify Haskell being deemed the best imperative language -- or is it actually more of a joke?


Solution

  • I consider it a half-truth. Haskell has an amazing ability to abstract, and that includes abstraction over imperative ideas. For example, Haskell has no built-in imperative while loop, but we can just write it and now it does:

    while :: (Monad m) => m Bool -> m () -> m ()
    while cond action = do
        c <- cond
        if c 
            then action >> while cond action
            else return ()
    

    This level of abstraction is difficult for many imperative languages. This can be done in imperative languages that have closures; eg. Python and C#.

    But Haskell also has the (highly unique) ability to characterize allowed side-effects, using the Monad classes. For example, if we have a function:

    foo :: (MonadWriter [String] m) => m Int
    

    This can be an "imperative" function, but we know that it can only do two things:

    It can't print to the console or establish network connections, etc. Combined with the abstraction ability, you can write functions which act on "any computation that produces a stream", etc.

    It's really all about Haskell's abstraction abilities that makes it a very fine imperative language.

    However, the false half is the syntax. I find Haskell pretty verbose and awkward to use in an imperative style. Here is an example imperative-style computation using the above while loop, which finds the last element of a linked list:

    lastElt :: [a] -> IO a
    lastElt [] = fail "Empty list!!"
    lastElt xs = do
        lst <- newIORef xs
        ret <- newIORef (head xs)
        while (not . null <$> readIORef lst) $ do
            (x:xs) <- readIORef lst
            writeIORef lst xs
            writeIORef ret x
        readIORef ret
    

    All that IORef garbage, the double read, having to bind the result of a read, fmapping (<$>) to operate on the result of an inline computation... it's all just very complicated looking. It makes a whole lot of sense from a functional perspective, but imperative languages tend to sweep most of these details under the rug to make them easier to use.

    Admittedly, perhaps if we used a different while-style combinator it would be cleaner. But if you take that philosophy far enough (using a rich set of combinators to express yourself clearly), then you arrive at functional programming again. Imperative-style Haskell just doesn't "flow" like a well-designed imperative language, e.g. python.

    In conclusion, with a syntactic face-lift, Haskell might well be the best imperative language. But, by the nature of face lifts, it would be replacing something internally beautiful and real with something externally beautiful and fake.

    EDIT: Contrast lastElt with this python transliteration:

    def last_elt(xs):
        assert xs, "Empty list!!"
        lst = xs
        ret = xs.head
        while lst:
            ret = lst.head
            lst = lst.tail
        return ret 
    

    Same number of lines, but each line has quite a bit less noise.


    EDIT 2

    For what it's worth, this is how a pure replacement in Haskell looks like:

    lastElt = return . last
    

    That's it. Or, if you forbid me from using Prelude.last:

    lastElt [] = fail "Unsafe lastElt called on empty list"
    lastElt [x] = return x
    lastElt (_:xs) = lastElt xs
    

    Or, if you want it to work on any Foldable data structure and recognize that you don't actually need IO to handle errors:

    import Data.Foldable (Foldable, foldMap)
    import Data.Monoid (Monoid(..), Last(..))
    
    lastElt :: (Foldable t) => t a -> Maybe a
    lastElt = getLast . foldMap (Last . Just)
    

    with Map, for example:

    λ➔ let example = fromList [(10, "spam"), (50, "eggs"), (20, "ham")] :: Map Int String
    λ➔ lastElt example
    Just "eggs"
    

    The (.) operator is function composition.