Reputation: 1589
I've been learning Haskell in my spare time working through LYAH. Would like to improve upon my Haskell (/ Functional programming) skills by solving some problems from the imperative world. One of the problems from EPI is to print an "almost sorted array", in a sorted fashion where it is guaranteed that no element in the array is more than k
away from its correct position. The input is a stream of elements and the requirement is to do this in O(n log k)
time complexity and O(k)
space complexity.
I've attempted to re-implement the imperative solution in Haskell as follows:
import qualified Data.Heap as Heap
-- print the k-sorted list in a sorted fashion
ksorted :: (Ord a, Show a) => [a] -> Int -> IO ()
ksorted [] _ = return ()
ksorted xs k = do
heap <- ksorted' xs Heap.empty
mapM_ print $ (Heap.toAscList heap) -- print the remaining elements in the heap.
where
ksorted' :: (Ord a, Show a) => [a] -> Heap.MinHeap a -> IO (Heap.MinHeap a)
ksorted' [] h = return h
ksorted' (x:xs) h = do let (m, h') = getMinAndBuildHeap h x in
(printMin m >> ksorted' xs h')
printMin :: (Show a) => Maybe a -> IO ()
printMin m = case m of
Nothing -> return ()
(Just item) -> print item
getMinAndBuildHeap :: (Ord a, Show a) => Heap.MinHeap a -> a -> (Maybe a, Heap.MinHeap a)
getMinAndBuildHeap h item= if (Heap.size h) > k
then ((Heap.viewHead h), (Heap.insert item (Heap.drop 1 h)))
else (Nothing, (Heap.insert item h))
I would like to know a better way of solving this in Haskell. Any inputs would be appreciated.
[Edit 1]: The input is stream, but for now I assumed a list instead (with only a forward iterator/ input iterator in some sense.)
[Edit 2]: added Data.Heap
import to the code.
Thanks.
Upvotes: 0
Views: 273
Reputation: 152707
I think the main improvement is to separate the production of the sorted list from the printing of the sorted list. So:
import Data.Heap (MinHeap)
import qualified Data.Heap as Heap
ksort :: Ord a => Int -> [a] -> [a]
ksort k xs = go (Heap.fromList b) e where
(b, e) = splitAt (k-1) xs
go :: Ord a => MinHeap a -> [a] -> [a]
go heap [] = Heap.toAscList heap
go heap (x:xs) = x' : go heap' xs where
Just (x', heap') = Heap.view (Heap.insert x heap)
printKSorted :: (Ord a, Show a) => Int -> [a] -> IO ()
printKSorted k xs = mapM_ print (ksort k xs)
If I were feeling extra-special-fancy, I might try to turn go
into a foldr
or perhaps a mapAccumR
, but in this case I think the explicit recursion is relatively readable, too.
Upvotes: 5