heap-0.2.1: Data/Heap.hs
{-# LANGUAGE CPP, EmptyDataDecls, FlexibleInstances, MultiParamTypeClasses #-}
-- |
-- A flexible implementation of min-, max- or custom-priority heaps
-- based on the leftist-heaps from Chris Okasaki's book \"Purely Functional Data
-- Structures\", Cambridge University Press, 1998, chapter 3.1.
--
-- If you need a minimum or maximum heap, use 'MinHeap' resp. 'MaxHeap'. If
-- you want to define a custom order of the heap elements implement a
-- 'HeapPolicy'.
--
-- This module is best imported @qualified@ in order to prevent name clashes
-- with other modules.
module Data.Heap (
-- * Heap type
Heap, MinHeap, MaxHeap,
HeapPolicy(..), MinPolicy, MaxPolicy,
-- * Query
null, isEmpty, size, head,
-- * Construction
empty, singleton, insert,
tail, extractHead,
-- * Union
union, unions,
-- * Filter
filter, partition,
-- * Subranges
take, drop, splitAt,
takeWhile, span, break,
-- * Conversion
-- ** Lists
fromList, toList, elems,
-- ** Ordered lists
fromAscList, toAscList,
-- * Debugging
check
) where
import Data.Foldable (Foldable(foldMap))
import Data.List (foldl')
import Data.Monoid
import Prelude hiding (break, drop, filter, head, null, tail, span, splitAt, take, takeWhile)
import Text.Read
-- |
-- The basic 'Heap' type.
data Heap p a
= Empty
| Tree {-# UNPACK #-} !Int a !(Heap p a) !(Heap p a)
-- |
-- A 'Heap' which will always extract the minimum first.
type MinHeap a = Heap MinPolicy a
-- |
-- A 'Heap' with inverted order: The maximum will be extracted first.
type MaxHeap a = Heap MaxPolicy a
instance (Show a) => Show (Heap p a) where
show h = "fromList " ++ (show . toList) h
instance (HeapPolicy p a) => Eq (Heap p a) where
h1 == h2 = EQ == compare h1 h2
instance (HeapPolicy p a) => Ord (Heap p a) where
compare h1 h2 = compare' (toAscList h1) (toAscList h2)
where compare' [] [] = EQ
compare' [] _ = LT
compare' _ [] = GT
compare' (x:xs) (y:ys) = case heapCompare (policy h1) x y of
EQ -> compare' xs ys
c -> c
instance (HeapPolicy p a) => Monoid (Heap p a) where
mempty = empty
mappend = union
mconcat = unions
instance Foldable (Heap p) where
foldMap _ Empty = mempty
foldMap f (Tree _ x l r) = foldMap f l `mappend` f x `mappend` foldMap f r
instance (HeapPolicy p a, Read a) => Read (Heap p a) where
#ifndef __HADDOCK__
#ifdef __GLASGOW_HASKELL__
readPrec = parens $ prec 10 $ do
Ident "fromList" <- lexP
xs <- readPrec
return (fromList xs)
readListPrec = readListPrecDefault
#else
readsPrec p = readParen (p > 10) $ \r -> do
("fromList", s) <- lex r
(xs, t) <- reads s
return (fromList xs, t)
#endif
#endif
-- |
-- The 'HeapPolicy' class defines an order on the elements contained within
-- a 'Heap'.
class HeapPolicy p a where
-- |
-- Compare two elements, just like 'compare' of the 'Ord' class,
-- so this function has to define a mathematical ordering.
-- When using a 'HeapPolicy' for a 'Heap', the minimal value
-- (defined by this order) will be the 'head' of the 'Heap'.
heapCompare :: p -- ^ /Must not be used/.
-> a -- ^ Must be compared to 3rd parameter.
-> a -- ^ Must be compared to 2nd parameter.
-> Ordering -- ^ Result of the comparison.
-- |
-- Policy type for a 'MinHeap'.
data MinPolicy
instance (Ord a) => HeapPolicy MinPolicy a where
heapCompare = const compare
-- |
-- Policy type for a 'MaxHeap'
data MaxPolicy
instance (Ord a) => HeapPolicy MaxPolicy a where
heapCompare = const (flip compare)
-- |
-- /O(1)/. Is the 'Heap' empty?
null :: Heap p a -> Bool
null Empty = True
null _ = False
-- |
-- /O(1)/. Is the 'Heap' empty?
isEmpty :: Heap p a -> Bool
isEmpty = null
-- |
-- /O(1)/. Calculate the rank of a 'Heap'.
rank :: Heap p a -> Int
rank Empty = 0
rank (Tree r _ _ _) = r
-- |
-- Gets the default policy instance for a 'Heap' that can be the first
-- parameter of 'heapCompare'. This function always returns 'undefined'.
policy :: Heap p a -> p
policy = const undefined
-- |
-- /O(n)/. The number of elements in the 'Heap'.
size :: (Num n) => Heap p a -> n
size Empty = 0
size (Tree _ _ l r) = 1 + size l + size r
-- |
-- /O(1)/. Finds the minimum (depending on the 'HeapPolicy') of the 'Heap'.
head :: (HeapPolicy p a) => Heap p a -> a
head = fst . extractHead
-- |
-- /O(1)/. Constructs an empty 'Heap'.
empty :: Heap p a
empty = Empty
-- |
-- /O(1)/. Create a singleton 'Heap'.
singleton :: a -> Heap p a
singleton x = Tree 1 x empty empty
-- |
-- /O(log n)/. Insert an element in the 'Heap'.
insert :: (HeapPolicy p a) => a -> Heap p a -> Heap p a
insert x h = union h (singleton x)
-- |
-- /O(log n)/. Delete the minimum (depending on the 'HeapPolicy')
-- from the 'Heap'.
tail :: (HeapPolicy p a) => Heap p a -> Heap p a
tail = snd . extractHead
-- |
-- /O(log n)/. Find the minimum (depending on the 'HeapPolicy') and
-- delete it from the 'Heap'.
extractHead :: (HeapPolicy p a) => Heap p a -> (a, Heap p a)
extractHead Empty = (error "Heap is empty", empty)
extractHead (Tree _ x l r) = (x, union l r)
-- |
-- Take the lowest @n@ elements in ascending order of the
-- 'Heap' (according to the 'HeapPolicy').
take :: (HeapPolicy p a) => Int -> Heap p a -> [a]
take n = fst . (splitAt n)
-- |
-- Remove the lowest (according to the 'HeapPolicy') @n@ elements
-- from the 'Heap'.
drop :: (HeapPolicy p a) => Int -> Heap p a -> Heap p a
drop n = snd . (splitAt n)
-- |
-- @'splitAt' n h@ returns an ascending list of the lowest @n@
-- elements of @h@ (according to its 'HeapPolicy') and a 'Heap'
-- like @h@, lacking those elements.
splitAt :: (HeapPolicy p a) => Int -> Heap p a -> ([a], Heap p a)
splitAt _ Empty = ([], empty)
splitAt n heap@(Tree _ x l r)
| n > 0 = let (xs, heap') = splitAt (n-1) (union l r) in (x:xs, heap')
| otherwise = ([], heap)
-- |
-- @'takeWhile' p h@ lists the longest prefix of elements in ascending
-- order (according to its 'HeapPolicy') of @h@ that satisfy @p@.
takeWhile :: (HeapPolicy p a) => (a -> Bool) -> Heap p a -> [a]
takeWhile p = fst . (span p)
-- |
-- @'span' p h@ returns the longest prefix of elements in ascending
-- order (according to its 'HeapPolicy') of @h@ that satisfy @p@ and
-- a 'Heap' like @h@, lacking those elements.
span :: (HeapPolicy p a) => (a -> Bool) -> Heap p a -> ([a], Heap p a)
span _ Empty = ([], empty)
span p heap@(Tree _ x l r)
| p x = let (xs, heap') = span p (union l r) in (x:xs, heap')
| otherwise = ([], heap)
-- |
-- @'break' p h@ returns the longest prefix of elements in ascending
-- order (according to its 'HeapPolicy') of @h@ that do /not/ satisfy @p@
-- and a 'Heap' like @h@, lacking those elements.
break :: (HeapPolicy p a) => (a -> Bool) -> Heap p a -> ([a], Heap p a)
break p = span (not . p)
-- |
-- /O(log max(n, m))/. The union of two 'Heap's.
union :: (HeapPolicy p a) => Heap p a -> Heap p a -> Heap p a
union h Empty = h
union Empty h = h
union heap1@(Tree _ x l1 r1) heap2@(Tree _ y l2 r2) = if LT == heapCompare (policy heap1) x y
then makeT x l1 (union r1 heap2) -- keep smallest number on top and merge the other
else makeT y l2 (union r2 heap1) -- heap into the right branch, it's shorter
-- |
-- Combines a value @x@ and two 'Heaps' to one 'Heap'. Therefore, @x@ has to
-- be less or equal the minima (depending on the 'HeapPolicy') of both
-- 'Heap' parameters. /The precondition is not checked/.
makeT :: a -> Heap p a -> Heap p a -> Heap p a
makeT x a b = let
ra = rank a
rb = rank b
in if ra > rb
then Tree (rb + 1) x a b
else Tree (ra + 1) x b a
-- |
-- Builds the union over all given 'Heap's.
unions :: (HeapPolicy p a) => [Heap p a] -> Heap p a
unions = foldl' union empty
-- |
-- Removes all elements from a given 'Heap' that do not fulfil the
-- predicate.
filter :: (HeapPolicy p a) => (a -> Bool) -> Heap p a -> Heap p a
filter p = fst . (partition p)
-- |
-- Partition the 'Heap' into two. @'partition' p h = (h1, h2)@:
-- All elements in @h1@ fulfil the predicate @p@, those in @h2@ don't.
-- @'union' h1 h2 = h@.
partition :: (HeapPolicy p a) => (a -> Bool) -> Heap p a -> (Heap p a, Heap p a)
partition _ Empty = (empty, empty)
partition p (Tree _ x l r)
| p x = (makeT x l1 r1, union l2 r2)
| otherwise = (union l1 r1, makeT x l2 r2)
where (l1, l2) = partition p l
(r1, r2) = partition p r
-- |
-- Builds a 'Heap' from the given elements.
-- You may want to use 'fromAscList', if you have a sorted list.
fromList :: (HeapPolicy p a) => [a] -> Heap p a
fromList = unions . (map singleton)
-- |
-- /O(n)/. Lists elements of the 'Heap' in no specific order.
toList :: Heap p a -> [a]
toList Empty = []
toList (Tree _ x l r) = x : toList l ++ toList r
-- |
-- /O(n)/. Lists elements of the 'Heap' in no specific order.
elems :: Heap p a -> [a]
elems = toList
-- |
-- /O(n)/. Creates a 'Heap' from an ascending list. Note that the list
-- has to be ascending corresponding to the 'HeapPolicy', not to its
-- 'Ord' instance declaration (if there is one).
-- /The precondition is not checked/.
fromAscList :: (HeapPolicy p a) => [a] -> Heap p a
--fromAscList [] = empty
--fromAscList (x:xs) = Tree 1 x (fromAscList xs) empty
fromAscList = fromList -- Just as fast, but needs less memory. Why?
-- |
-- /O(n)/. Lists elements of the 'Heap' in ascending order (corresponding
-- to the 'HeapPolicy').
toAscList :: (HeapPolicy p a) => Heap p a -> [a]
toAscList Empty = []
toAscList h@(Tree _ e l r) = e : mergeLists (toAscList l) (toAscList r)
where mergeLists [] ys = ys
mergeLists xs [] = xs
mergeLists xs@(x:xs') ys@(y:ys') = if LT == heapCompare (policy h) x y
then x : mergeLists xs' ys
else y : mergeLists xs ys'
-- |
-- Sanity checks for debugging. This includes checking the ranks and
-- the heap and leftist (the left rank is at least the right rank) properties.
check :: (HeapPolicy p a) => Heap p a -> Bool
check Empty = True
check h@(Tree r x left right) = let
leftRank = rank left
rightRank = rank right
in (null left || LT /= heapCompare (policy h) (head left) x) -- heap property
&& (null right || LT /= heapCompare (policy h) (head right) x) -- dito
&& r == 1 + rightRank -- rank = length of right spine
&& leftRank >= rightRank -- leftist property
&& check left
&& check right