m (complication -> complicated)
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Latest revision as of 17:53, 17 October 2010
A thunk is a value that is yet to be evaluated. It is used in Haskell systems, that implement non-strict semantics by lazy evaluation. A lazy run-time system does not evaluate a thunk unless it has to. Expressions are translated into a graph (not a tree, as you might have expected, this enables sharing, and infinite lists!) and a Spineless Tagless G-machine (STG, G for graph, I suppose?) reduces it, chucking out any unneeded thunk, unevaluated.
 1 Why are thunks useful?Well, if you don't need it, why evaluate it? Take for example the "lazy"
-- the first is false, so is the answer, don't even need to know what the other is False && _ = False -- so the first turns out to be true, hmm... -- if the second is true, then the result is true -- if it's false, so is the result -- in other words, the result is the second! True && x = x
This function only evaluates the first parameter, because that's all that is needed. Even if the first parameter is true, you don't need to evaluate the second, so don't (so this version effectively is smarter than the explicit truth table). Who knows, the second parameter may get thrown out later as well!
Perhaps a more convincing example is a (naive but intuitive) algorithm to find out if a given number is prime.
-- the non-trivial factors are those who divide the number so no remainder factors n = filter (\m -> n `mod` m == 0) [2 .. (n - 1)] -- a number is a prime if it has no non-trivial factors isPrime n = n > 1 && null (factors n)
 2 When are thunks not so useful?
If you keep building up a very complicated graph to reduce later, it consumes memory (naturally), and can hinder performance, like, (from a blog comment made by Cale Gibbard)
foldl (+) 0 [1,2,3] ==> foldl (+) (0 + 1) [2,3] ==> foldl (+) ((0 + 1) + 2)  ==> foldl (+) (((0 + 1) + 2) + 3)  ==> ((0 + 1) + 2) + 3 ==> (1 + 2) + 3 ==> 3 + 3 ==> 6