Data.Heap

An efficient, asymptotically optimal, implementation of a priority queues extended with support for efficient size, and Foldable

Note: Since many function names (but not the type name) clash with Prelude names, this module is usually imported qualified, e.g.

 import Data.Heap (Heap)
 import qualified Data.Heap as Heap

The implementation of Heap is based on bootstrapped skew binomial heaps as described by:

• G. Brodal and C. Okasaki , "Optimal Purely Functional Priority Queues", Journal of Functional Programming 6:839-857 (1996)

All time bounds are worst-case.

Heap Type

data Heap a

A min-heap of values of type a.

Instances

Foldable Heap

Defined in Data.Heap

Methods

fold :: Monoid m => Heap m -> m

foldMap :: Monoid m => (a -> m) -> Heap a -> m

foldr :: (a -> b -> b) -> b -> Heap a -> b

foldr' :: (a -> b -> b) -> b -> Heap a -> b

foldl :: (b -> a -> b) -> b -> Heap a -> b

foldl' :: (b -> a -> b) -> b -> Heap a -> b

foldr1 :: (a -> a -> a) -> Heap a -> a

foldl1 :: (a -> a -> a) -> Heap a -> a

toList :: Heap a -> [a]

null :: Heap a -> Bool

length :: Heap a -> Int

elem :: Eq a => a -> Heap a -> Bool

maximum :: Ord a => Heap a -> a

minimum :: Ord a => Heap a -> a

sum :: Num a => Heap a -> a

product :: Num a => Heap a -> a

Eq (Heap a)

Defined in Data.Heap

Methods

(==) :: Heap a -> Heap a -> Bool

(/=) :: Heap a -> Heap a -> Bool

(Ord a, Data a) => Data (Heap a)

Defined in Data.Heap

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> Heap a -> c (Heap a)

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c (Heap a)

toConstr :: Heap a -> Constr

dataTypeOf :: Heap a -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c (Heap a))

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c (Heap a))

gmapT :: (forall b. Data b => b -> b) -> Heap a -> Heap a

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> Heap a -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> Heap a -> r

gmapQ :: (forall d. Data d => d -> u) -> Heap a -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> Heap a -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> Heap a -> m (Heap a)

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> Heap a -> m (Heap a)

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> Heap a -> m (Heap a)

Ord (Heap a)

Defined in Data.Heap

Methods

compare :: Heap a -> Heap a -> Ordering

(<) :: Heap a -> Heap a -> Bool

(<=) :: Heap a -> Heap a -> Bool

(>) :: Heap a -> Heap a -> Bool

(>=) :: Heap a -> Heap a -> Bool

max :: Heap a -> Heap a -> Heap a

min :: Heap a -> Heap a -> Heap a

(Ord a, Read a) => Read (Heap a)

Defined in Data.Heap

Methods

readsPrec :: Int -> ReadS (Heap a)

readList :: ReadS [Heap a]

readPrec :: ReadPrec (Heap a)

readListPrec :: ReadPrec [Heap a]

Show a => Show (Heap a)

Defined in Data.Heap

Methods

showsPrec :: Int -> Heap a -> ShowS

show :: Heap a -> String

showList :: [Heap a] -> ShowS

Semigroup (Heap a)

Defined in Data.Heap

Methods

(<>) :: Heap a -> Heap a -> Heap a

sconcat :: NonEmpty (Heap a) -> Heap a

stimes :: Integral b => b -> Heap a -> Heap a

Monoid (Heap a)

Defined in Data.Heap

Methods

mempty :: Heap a

mappend :: Heap a -> Heap a -> Heap a

mconcat :: [Heap a] -> Heap a

Entry type

data Entry p a

Explicit priority/payload tuples. Useful to build a priority queue using a Heap, since the payload is ignored in the Eq/Ord instances.

myHeap = fromList [Entry 2 "World", Entry 1 "Hello", Entry 3 "!"]

==> foldMap payload myHeap ≡ "HelloWorld!"

Constructors

Entry

Fields

• priority :: p
• payload :: a

Instances

Bifunctor Entry

Defined in Data.Heap

Methods

bimap :: (a -> b) -> (c -> d) -> Entry a c -> Entry b d

first :: (a -> b) -> Entry a c -> Entry b c

second :: (b -> c) -> Entry a b -> Entry a c

Functor (Entry p)

Defined in Data.Heap

Methods

fmap :: (a -> b) -> Entry p a -> Entry p b

(<$) :: a -> Entry p b -> Entry p a

Foldable (Entry p)

Defined in Data.Heap

Methods

fold :: Monoid m => Entry p m -> m

foldMap :: Monoid m => (a -> m) -> Entry p a -> m

foldr :: (a -> b -> b) -> b -> Entry p a -> b

foldr' :: (a -> b -> b) -> b -> Entry p a -> b

foldl :: (b -> a -> b) -> b -> Entry p a -> b

foldl' :: (b -> a -> b) -> b -> Entry p a -> b

foldr1 :: (a -> a -> a) -> Entry p a -> a

foldl1 :: (a -> a -> a) -> Entry p a -> a

toList :: Entry p a -> [a]

null :: Entry p a -> Bool

length :: Entry p a -> Int

elem :: Eq a => a -> Entry p a -> Bool

maximum :: Ord a => Entry p a -> a

minimum :: Ord a => Entry p a -> a

sum :: Num a => Entry p a -> a

product :: Num a => Entry p a -> a

Traversable (Entry p)

Defined in Data.Heap

Methods

traverse :: Applicative f => (a -> f b) -> Entry p a -> f (Entry p b)

sequenceA :: Applicative f => Entry p (f a) -> f (Entry p a)

mapM :: Monad m => (a -> m b) -> Entry p a -> m (Entry p b)

sequence :: Monad m => Entry p (m a) -> m (Entry p a)

Eq p => Eq (Entry p a)

Defined in Data.Heap

Methods

(==) :: Entry p a -> Entry p a -> Bool

(/=) :: Entry p a -> Entry p a -> Bool

(Data p, Data a) => Data (Entry p a)

Defined in Data.Heap

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> Entry p a -> c (Entry p a)

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c (Entry p a)

toConstr :: Entry p a -> Constr

dataTypeOf :: Entry p a -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c (Entry p a))

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c (Entry p a))

gmapT :: (forall b. Data b => b -> b) -> Entry p a -> Entry p a

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> Entry p a -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> Entry p a -> r

gmapQ :: (forall d. Data d => d -> u) -> Entry p a -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> Entry p a -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> Entry p a -> m (Entry p a)

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> Entry p a -> m (Entry p a)

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> Entry p a -> m (Entry p a)

Ord p => Ord (Entry p a)

Defined in Data.Heap

Methods

compare :: Entry p a -> Entry p a -> Ordering

(<) :: Entry p a -> Entry p a -> Bool

(<=) :: Entry p a -> Entry p a -> Bool

(>) :: Entry p a -> Entry p a -> Bool

(>=) :: Entry p a -> Entry p a -> Bool

max :: Entry p a -> Entry p a -> Entry p a

min :: Entry p a -> Entry p a -> Entry p a

(Read p, Read a) => Read (Entry p a)

Defined in Data.Heap

Methods

readsPrec :: Int -> ReadS (Entry p a)

readList :: ReadS [Entry p a]

readPrec :: ReadPrec (Entry p a)

readListPrec :: ReadPrec [Entry p a]

(Show p, Show a) => Show (Entry p a)

Defined in Data.Heap

Methods

showsPrec :: Int -> Entry p a -> ShowS

show :: Entry p a -> String

showList :: [Entry p a] -> ShowS

Basic functions

empty :: Heap a

O(1). The empty heap

empty ≡ fromList []

>>> size empty
0

null :: Foldable t => t a -> Bool

Test whether the structure is empty. The default implementation is optimized for structures that are similar to cons-lists, because there is no general way to do better.

size :: Heap a -> Int

O(1). The number of elements in the heap.

>>> size empty
0
>>> size (singleton "hello")
1
>>> size (fromList [4,1,2])
3

singleton :: Ord a => a -> Heap a

O(1). A heap with a single element

singleton x ≡ fromList [x]
singleton x ≡ insert x empty

>>> size (singleton "hello")
1

insert :: Ord a => a -> Heap a -> Heap a

O(1). Insert a new value into the heap.

>>> insert 2 (fromList [1,3])
fromList [1,2,3]

insert x empty ≡ singleton x
size (insert x xs) ≡ 1 + size xs

minimum :: Heap a -> a

O(1). Assumes the argument is a non-null heap.

>>> minimum (fromList [3,1,2])
1

deleteMin :: Heap a -> Heap a

O(log n). Delete the minimum key from the heap and return the resulting heap.

>>> deleteMin (fromList [3,1,2])
fromList [2,3]

union :: Heap a -> Heap a -> Heap a

O(1). Meld the values from two heaps into one heap.

>>> union (fromList [1,3,5]) (fromList [6,4,2])
fromList [1,2,6,4,3,5]
>>> union (fromList [1,1,1]) (fromList [1,2,1])
fromList [1,1,1,2,1,1]

uncons :: Heap a -> Maybe (a, Heap a)

Provides both O(1) access to the minimum element and O(log n) access to the remainder of the heap. This is the same operation as viewMin

>>> uncons (fromList [2,1,3])
Just (1,fromList [2,3])

viewMin :: Heap a -> Maybe (a, Heap a)

Same as uncons

Transformations

mapMonotonic :: Ord b => (a -> b) -> Heap a -> Heap b

O(n). Map a monotone increasing function over the heap. Provides a better constant factor for performance than map, but no checking is performed that the function provided is monotone increasing. Misuse of this function can cause a Heap to violate the heap property.

>>> mapMonotonic (+1) (fromList [1,2,3])
fromList [2,3,4]
>>> mapMonotonic (*2) (fromList [1,2,3])
fromList [2,4,6]

map :: Ord b => (a -> b) -> Heap a -> Heap b

O(n). Map a function over the heap, returning a new heap ordered appropriately for its fresh contents

>>> map negate (fromList [3,1,2])
fromList [-3,-1,-2]

To/From Lists

toUnsortedList :: Heap a -> [a]

O(n). Returns the elements in the heap in some arbitrary, very likely unsorted, order.

>>> toUnsortedList (fromList [3,1,2])
[1,3,2]

fromList . toUnsortedList ≡ id

fromList :: Ord a => [a] -> Heap a

O(n). Build a heap from a list of values.

fromList . toList ≡ id
toList . fromList ≡ sort

sort :: Ord a => [a] -> [a]

O(n log n). Perform a heap sort

traverse :: (Applicative t, Ord b) => (a -> t b) -> Heap a -> t (Heap b)

O(n log n). Traverse the elements of the heap in sorted order and produce a new heap using Applicative side-effects.

mapM :: (Monad m, Ord b) => (a -> m b) -> Heap a -> m (Heap b)

O(n log n). Traverse the elements of the heap in sorted order and produce a new heap using Monadic side-effects.

concatMap :: (a -> Heap b) -> Heap a -> Heap b

O(n). Construct heaps from each element in another heap, and union them together.

>>> concatMap (\a -> fromList [a,a+1]) (fromList [1,4])
fromList [1,4,5,2]

Filtering

filter :: (a -> Bool) -> Heap a -> Heap a

O(n). Filter the heap, retaining only values that satisfy the predicate.

>>> filter (>'a') (fromList "ab")
fromList "b"
>>> filter (>'x') (fromList "ab")
fromList []
>>> filter (<'a') (fromList "ab")
fromList []

partition :: (a -> Bool) -> Heap a -> (Heap a, Heap a)

O(n). Partition the heap according to a predicate. The first heap contains all elements that satisfy the predicate, the second all elements that fail the predicate. See also split.

>>> partition (>'a') (fromList "ab")
(fromList "b",fromList "a")

split :: a -> Heap a -> (Heap a, Heap a, Heap a)

O(n). Partition the heap into heaps of the elements that are less than, equal to, and greater than a given value.

>>> split 'h' (fromList "hello")
(fromList "e",fromList "h",fromList "llo")

break :: (a -> Bool) -> Heap a -> (Heap a, Heap a)

O(n log n). break applied to a predicate p and a heap xs returns a tuple where the first element is a heap consisting of the longest prefix the least elements of xs that do not satisfy p and the second element is the remainder of the elements in the heap.

>>> break (\x -> x `mod` 4 == 0) (fromList [3,5,7,12,13,16])
(fromList [3,5,7],fromList [12,13,16])

break p is equivalent to span (not . p).

span :: (a -> Bool) -> Heap a -> (Heap a, Heap a)

O(n log n). span applied to a predicate p and a heap xs returns a tuple where the first element is a heap consisting of the longest prefix the least elements of xs that satisfy p and the second element is the remainder of the elements in the heap.

>>> span (\x -> x `mod` 4 == 0) (fromList [4,8,12,14,16])
(fromList [4,8,12],fromList [14,16])

span p xs is equivalent to (takeWhile p xs, dropWhile p xs)

take :: Int -> Heap a -> Heap a

O(n log n). Return a heap consisting of the least n elements of a given heap.

>>> take 3 (fromList [10,2,4,1,9,8,2])
fromList [1,2,2]

drop :: Int -> Heap a -> Heap a

O(n log n). Return a heap consisting of all members of given heap except for the n least elements.

splitAt :: Int -> Heap a -> (Heap a, Heap a)

O(n log n). Split a heap into two heaps, the first containing the n least elements, the latter consisting of all members of the heap except for those elements.

takeWhile :: (a -> Bool) -> Heap a -> Heap a

O(n log n). takeWhile applied to a predicate p and a heap xs returns a heap consisting of the longest prefix the least elements of xs that satisfy p.

>>> takeWhile (\x -> x `mod` 4 == 0) (fromList [4,8,12,14,16])
fromList [4,8,12]

dropWhile :: (a -> Bool) -> Heap a -> Heap a

O(n log n). dropWhile p xs returns the suffix of the heap remaining after takeWhile p xs.

>>> dropWhile (\x -> x `mod` 4 == 0) (fromList [4,8,12,14,16])
fromList [14,16]

Grouping

group :: Heap a -> Heap (Heap a)

O(n log n). Group a heap into a heap of heaps, by unioning together duplicates.

>>> group (fromList "hello")
fromList [fromList "e",fromList "h",fromList "ll",fromList "o"]

groupBy :: (a -> a -> Bool) -> Heap a -> Heap (Heap a)

O(n log n). Group using a user supplied function.

nub :: Heap a -> Heap a

O(n log n). Remove duplicate entries from the heap.

>>> nub (fromList [1,1,2,6,6])
fromList [1,2,6]

Intersection

intersect :: Heap a -> Heap a -> Heap a

O(n log n + m log m). Intersect the values in two heaps, returning the value in the left heap that compares as equal

intersectWith :: Ord b => (a -> a -> b) -> Heap a -> Heap a -> Heap b

O(n log n + m log m). Intersect the values in two heaps using a function to generate the elements in the right heap.

Duplication

replicate :: Ord a => a -> Int -> Heap a

O(log n). Create a heap consisting of multiple copies of the same value.

>>> replicate 'a' 10
fromList "aaaaaaaaaa"