Data.PriorityQueue.FingerTree

fingertree-0.1.1.0: Generic finger-tree structure, with example instances

Copyright | (c) Ross Paterson 2008
License | BSD-style
Maintainer | R.Paterson@city.ac.uk
Stability | experimental
Portability | non-portable (MPTCs and functional dependencies)
Safe Haskell | Safe
Language | Haskell98

Data.PriorityQueue.FingerTree

Contents

- Construction
- Deconstruction

Description

Min-priority queues implemented using the `FingerTree` type, following section 4.6 of

- Ralf Hinze and Ross Paterson, "Finger trees: a simple general-purpose data structure", Journal of Functional Programming 16:2 (2006) pp 197-217. http://staff.city.ac.uk/~ross/papers/FingerTree.html

These have the same big-O complexity as skew heap implementations, but are approximately an order of magnitude slower. On the other hand, they are stable, so they can be used for fair queueing. They are also shallower, so that `fmap` consumes less space.

An amortized running time is given for each operation, with n referring to the size of the priority queue. These bounds hold even in a persistent (shared) setting.

Note: Many of these operations have the same names as similar operations on lists in the Prelude. The ambiguity may be resolved using either qualification or the `hiding` clause.

Synopsis

- data PQueue k v
- empty :: Ord k => PQueue k v
- singleton :: Ord k => k -> v -> PQueue k v
- union :: Ord k => PQueue k v -> PQueue k v -> PQueue k v
- insert :: Ord k => k -> v -> PQueue k v -> PQueue k v
- add :: Ord k => k -> v -> PQueue k v -> PQueue k v
- fromList :: Ord k => [(k, v)] -> PQueue k v
- null :: Ord k => PQueue k v -> Bool
- minView :: Ord k => PQueue k v -> Maybe (v, PQueue k v)
- minViewWithKey :: Ord k => PQueue k v -> Maybe ((k, v), PQueue k v)

# Documentation

data PQueue k v #

Priority queues.

Instances

Ord k => Functor (PQueue k) # |
Methods fmap :: (a -> b) -> PQueue k a -> PQueue k b # (<$) :: a -> PQueue k b -> PQueue k a #
Ord k => Foldable (PQueue k) # |
Methods fold :: Monoid m => PQueue k m -> m # foldMap :: Monoid m => (a -> m) -> PQueue k a -> m # foldr :: (a -> b -> b) -> b -> PQueue k a -> b # foldr' :: (a -> b -> b) -> b -> PQueue k a -> b # foldl :: (b -> a -> b) -> b -> PQueue k a -> b # foldl' :: (b -> a -> b) -> b -> PQueue k a -> b # foldr1 :: (a -> a -> a) -> PQueue k a -> a # foldl1 :: (a -> a -> a) -> PQueue k a -> a # toList :: PQueue k a -> [a] # null :: PQueue k a -> Bool # length :: PQueue k a -> Int # elem :: Eq a => a -> PQueue k a -> Bool # maximum :: Ord a => PQueue k a -> a # minimum :: Ord a => PQueue k a -> a # sum :: Num a => PQueue k a -> a # product :: Num a => PQueue k a -> a #
Ord k => Monoid (PQueue k v) # |
Methods mempty :: PQueue k v # mappend :: PQueue k v -> PQueue k v -> PQueue k v # mconcat :: [PQueue k v] -> PQueue k v #

# Construction

empty :: Ord k => PQueue k v #

O(1). The empty priority queue.

singleton :: Ord k => k -> v -> PQueue k v #

O(1). A singleton priority queue.

union :: Ord k => PQueue k v -> PQueue k v -> PQueue k v #

O(log(min(n1,n2))). Concatenate two priority queues. `union` is associative, with identity `empty`.

If there are entries with the same priority in both arguments, `minView` of ``union` xs ys` will return those from `xs` before those from `ys`.

insert :: Ord k => k -> v -> PQueue k v -> PQueue k v #

O(log n). Add a (priority, value) pair to the front of a priority queue.

-     insert k v q = union (singleton k v) q

If `q` contains entries with the same priority `k`, `minView` of ``insert` k v q` will return them after this one.

add :: Ord k => k -> v -> PQueue k v -> PQueue k v #

O(log n). Add a (priority, value) pair to the back of a priority queue.

-     add k v q = union q (singleton k v)

If `q` contains entries with the same priority `k`, `minView` of ``add` k v q` will return them before this one.

fromList :: Ord k => [(k, v)] -> PQueue k v #

O(n). Create a priority queue from a finite list of priorities and values.

# Deconstruction

null :: Ord k => PQueue k v -> Bool #

O(1). Is this the empty priority queue?

minView :: Ord k => PQueue k v -> Maybe (v, PQueue k v) #

O(1) for the element, O(log(n)) for the reduced queue. Returns `Nothing` for an empty map, or the value associated with the minimal priority together with the rest of the priority queue.

-     minView empty = Nothing

-     minView (singleton k v) = Just (v, empty)

minViewWithKey :: Ord k => PQueue k v -> Maybe ((k, v), PQueue k v) #

O(1) for the element, O(log(n)) for the reduced queue. Returns `Nothing` for an empty map, or the minimal (priority, value) pair together with the rest of the priority queue.

-     minViewWithKey empty = Nothing

-     minViewWithKey (singleton k v) = Just ((k, v), empty)

- If ``minViewWithKey` qi = `Just` ((ki, vi), qi')` and `k1 <= k2`, then ``minViewWithKey` (`union` q1 q2) = `Just` ((k1, v1), `union` q1' q2)`
- If ``minViewWithKey` qi = `Just` ((ki, vi), qi')` and `k2 < k1`, then ``minViewWithKey` (`union` q1 q2) = `Just` ((k2, v2), `union` q1 q2')`