| Haskell Hierarchical Libraries (base package) | Contents | Index
Data.Map |
Portability | portable
Stability | provisional
Maintainer | libraries@haskell.org
Contents
Map type Operators Query Construction Insertion Delete/Update Combine Union Difference Intersection Traversal Map Fold Conversion Lists Ordered lists Filter Submap Indexed Min/Max Debugging
Description
An efficient implementation of maps from keys to values (dictionaries). This module is intended to be imported `qualified`, to avoid name clashes with Prelude functions. eg.
      import Data.Map as Map
The implementation of `Map` is based on size balanced binary trees (or trees of bounded balance) as described by: Stephen Adams, "Efficient sets: a balancing act", Journal of Functional Programming 3(4):553-562, October 1993, http://www.swiss.ai.mit.edu/~adams/BB. J. Nievergelt and E.M. Reingold, "Binary search trees of bounded balance", SIAM journal of computing 2(1), March 1973.
Synopsis
data Map k a
(!) :: Ord k => Map k a -> k -> a
(\\) :: Ord k => Map k a -> Map k b -> Map k a
null :: Map k a -> Bool
size :: Map k a -> Int
member :: Ord k => k -> Map k a -> Bool
lookup :: (Monad m, Ord k) => k -> Map k a -> m a
findWithDefault :: Ord k => a -> k -> Map k a -> a
empty :: Map k a
singleton :: k -> a -> Map k a
insert :: Ord k => k -> a -> Map k a -> Map k a
insertWith :: Ord k => (a -> a -> a) -> k -> a -> Map k a -> Map k a
insertWithKey :: Ord k => (k -> a -> a -> a) -> k -> a -> Map k a -> Map k a
insertLookupWithKey :: Ord k => (k -> a -> a -> a) -> k -> a -> Map k a -> (Maybe a, Map k a)
delete :: Ord k => k -> Map k a -> Map k a
adjust :: Ord k => (a -> a) -> k -> Map k a -> Map k a
adjustWithKey :: Ord k => (k -> a -> a) -> k -> Map k a -> Map k a
update :: Ord k => (a -> Maybe a) -> k -> Map k a -> Map k a
updateWithKey :: Ord k => (k -> a -> Maybe a) -> k -> Map k a -> Map k a
updateLookupWithKey :: Ord k => (k -> a -> Maybe a) -> k -> Map k a -> (Maybe a, Map k a)
union :: Ord k => Map k a -> Map k a -> Map k a
unionWith :: Ord k => (a -> a -> a) -> Map k a -> Map k a -> Map k a
unionWithKey :: Ord k => (k -> a -> a -> a) -> Map k a -> Map k a -> Map k a
unions :: Ord k => [Map k a] -> Map k a
unionsWith :: Ord k => (a -> a -> a) -> [Map k a] -> Map k a
difference :: Ord k => Map k a -> Map k b -> Map k a
differenceWith :: Ord k => (a -> b -> Maybe a) -> Map k a -> Map k b -> Map k a
differenceWithKey :: Ord k => (k -> a -> b -> Maybe a) -> Map k a -> Map k b -> Map k a
intersection :: Ord k => Map k a -> Map k b -> Map k a
intersectionWith :: Ord k => (a -> b -> c) -> Map k a -> Map k b -> Map k c
intersectionWithKey :: Ord k => (k -> a -> b -> c) -> Map k a -> Map k b -> Map k c
map :: (a -> b) -> Map k a -> Map k b
mapWithKey :: (k -> a -> b) -> Map k a -> Map k b
mapAccum :: (a -> b -> (a, c)) -> a -> Map k b -> (a, Map k c)
mapAccumWithKey :: (a -> k -> b -> (a, c)) -> a -> Map k b -> (a, Map k c)
mapKeys :: Ord k2 => (k1 -> k2) -> Map k1 a -> Map k2 a
mapKeysWith :: Ord k2 => (a -> a -> a) -> (k1 -> k2) -> Map k1 a -> Map k2 a
mapKeysMonotonic :: (k1 -> k2) -> Map k1 a -> Map k2 a
fold :: (a -> b -> b) -> b -> Map k a -> b
foldWithKey :: (k -> a -> b -> b) -> b -> Map k a -> b
elems :: Map k a -> [a]
keys :: Map k a -> [k]
keysSet :: Map k a -> Set k
assocs :: Map k a -> [(k, a)]
toList :: Map k a -> [(k, a)]
fromList :: Ord k => [(k, a)] -> Map k a
fromListWith :: Ord k => (a -> a -> a) -> [(k, a)] -> Map k a
fromListWithKey :: Ord k => (k -> a -> a -> a) -> [(k, a)] -> Map k a
toAscList :: Map k a -> [(k, a)]
fromAscList :: Eq k => [(k, a)] -> Map k a
fromAscListWith :: Eq k => (a -> a -> a) -> [(k, a)] -> Map k a
fromAscListWithKey :: Eq k => (k -> a -> a -> a) -> [(k, a)] -> Map k a
fromDistinctAscList :: [(k, a)] -> Map k a
filter :: Ord k => (a -> Bool) -> Map k a -> Map k a
filterWithKey :: Ord k => (k -> a -> Bool) -> Map k a -> Map k a
partition :: Ord k => (a -> Bool) -> Map k a -> (Map k a, Map k a)
partitionWithKey :: Ord k => (k -> a -> Bool) -> Map k a -> (Map k a, Map k a)
split :: Ord k => k -> Map k a -> (Map k a, Map k a)
splitLookup :: Ord k => k -> Map k a -> (Map k a, Maybe a, Map k a)
isSubmapOf :: (Ord k, Eq a) => Map k a -> Map k a -> Bool
isSubmapOfBy :: Ord k => (a -> b -> Bool) -> Map k a -> Map k b -> Bool
isProperSubmapOf :: (Ord k, Eq a) => Map k a -> Map k a -> Bool
isProperSubmapOfBy :: Ord k => (a -> b -> Bool) -> Map k a -> Map k b -> Bool
lookupIndex :: (Monad m, Ord k) => k -> Map k a -> m Int
findIndex :: Ord k => k -> Map k a -> Int
elemAt :: Int -> Map k a -> (k, a)
updateAt :: (k -> a -> Maybe a) -> Int -> Map k a -> Map k a
deleteAt :: Int -> Map k a -> Map k a
findMin :: Map k a -> (k, a)
findMax :: Map k a -> (k, a)
deleteMin :: Map k a -> Map k a
deleteMax :: Map k a -> Map k a
deleteFindMin :: Map k a -> ((k, a), Map k a)
deleteFindMax :: Map k a -> ((k, a), Map k a)
updateMin :: (a -> Maybe a) -> Map k a -> Map k a
updateMax :: (a -> Maybe a) -> Map k a -> Map k a
updateMinWithKey :: (k -> a -> Maybe a) -> Map k a -> Map k a
updateMaxWithKey :: (k -> a -> Maybe a) -> Map k a -> Map k a
showTree :: (Show k, Show a) => Map k a -> String
showTreeWith :: (k -> a -> String) -> Bool -> Bool -> Map k a -> String
valid :: Ord k => Map k a -> Bool
Map type
data Map k a
A Map from keys `k` to values `a`.
Instances
Typeable2 Map
Functor (Map k)
(Data k, Data a, Ord k) => Data (Map k a)
(Eq k, Eq a) => Eq (Map k a)
Ord k => Monoid (Map k v)
(Ord k, Ord v) => Ord (Map k v)
(Show k, Show a) => Show (Map k a)
Operators
(!) :: Ord k => Map k a -> k -> a
O(log n). Find the value at a key. Calls `error` when the element can not be found.
(\\) :: Ord k => Map k a -> Map k b -> Map k a
O(n+m). See `difference`.
Query
null :: Map k a -> Bool
O(1). Is the map empty?
size :: Map k a -> Int
O(1). The number of elements in the map.
member :: Ord k => k -> Map k a -> Bool
O(log n). Is the key a member of the map?
lookup :: (Monad m, Ord k) => k -> Map k a -> m a
O(log n). Lookup the value at a key in the map.
findWithDefault :: Ord k => a -> k -> Map k a -> a
O(log n). The expression `(`findWithDefault` def k map)` returns the value at key `k` or returns `def` when the key is not in the map.
Construction
empty :: Map k a
O(1). The empty map.
singleton :: k -> a -> Map k a
O(1). A map with a single element.
Insertion
insert :: Ord k => k -> a -> Map k a -> Map k a
O(log n). Insert a new key and value in the map.
insertWith :: Ord k => (a -> a -> a) -> k -> a -> Map k a -> Map k a
O(log n). Insert with a combining function.
insertWithKey :: Ord k => (k -> a -> a -> a) -> k -> a -> Map k a -> Map k a
O(log n). Insert with a combining function.
insertLookupWithKey :: Ord k => (k -> a -> a -> a) -> k -> a -> Map k a -> (Maybe a, Map k a)
O(log n). The expression (``insertLookupWithKey` f k x map`) is a pair where the first element is equal to (``lookup` k map`) and the second element equal to (``insertWithKey` f k x map`).
Delete/Update
delete :: Ord k => k -> Map k a -> Map k a
O(log n). Delete a key and its value from the map. When the key is not a member of the map, the original map is returned.
adjust :: Ord k => (a -> a) -> k -> Map k a -> Map k a
O(log n). Adjust a value at a specific key. When the key is not a member of the map, the original map is returned.
adjustWithKey :: Ord k => (k -> a -> a) -> k -> Map k a -> Map k a
O(log n). Adjust a value at a specific key. When the key is not a member of the map, the original map is returned.
update :: Ord k => (a -> Maybe a) -> k -> Map k a -> Map k a
O(log n). The expression (``update` f k map`) updates the value `x` at `k` (if it is in the map). If (`f x`) is `Nothing`, the element is deleted. If it is (``Just` y`), the key `k` is bound to the new value `y`.
updateWithKey :: Ord k => (k -> a -> Maybe a) -> k -> Map k a -> Map k a
O(log n). The expression (``updateWithKey` f k map`) updates the value `x` at `k` (if it is in the map). If (`f k x`) is `Nothing`, the element is deleted. If it is (``Just` y`), the key `k` is bound to the new value `y`.
updateLookupWithKey :: Ord k => (k -> a -> Maybe a) -> k -> Map k a -> (Maybe a, Map k a)
O(log n). Lookup and update.
Combine
Union
union :: Ord k => Map k a -> Map k a -> Map k a
O(n+m). The expression (``union` t1 t2`) takes the left-biased union of `t1` and `t2`. It prefers `t1` when duplicate keys are encountered, i.e. (``union` == `unionWith` `const``). The implementation uses the efficient hedge-union algorithm. Hedge-union is more efficient on (bigset `union` smallset)?
unionWith :: Ord k => (a -> a -> a) -> Map k a -> Map k a -> Map k a
O(n+m). Union with a combining function. The implementation uses the efficient hedge-union algorithm.
unionWithKey :: Ord k => (k -> a -> a -> a) -> Map k a -> Map k a -> Map k a
O(n+m). Union with a combining function. The implementation uses the efficient hedge-union algorithm. Hedge-union is more efficient on (bigset `union` smallset).
unions :: Ord k => [Map k a] -> Map k a
The union of a list of maps: (``unions` == `foldl` `union` `empty``).
unionsWith :: Ord k => (a -> a -> a) -> [Map k a] -> Map k a
The union of a list of maps, with a combining operation: (``unionsWith` f == `foldl` (`unionWith` f) `empty``).
Difference
difference :: Ord k => Map k a -> Map k b -> Map k a
O(n+m). Difference of two maps. The implementation uses an efficient hedge algorithm comparable with hedge-union.
differenceWith :: Ord k => (a -> b -> Maybe a) -> Map k a -> Map k b -> Map k a
O(n+m). Difference with a combining function. The implementation uses an efficient hedge algorithm comparable with hedge-union.
differenceWithKey :: Ord k => (k -> a -> b -> Maybe a) -> Map k a -> Map k b -> Map k a
O(n+m). Difference with a combining function. When two equal keys are encountered, the combining function is applied to the key and both values. If it returns `Nothing`, the element is discarded (proper set difference). If it returns (``Just` y`), the element is updated with a new value `y`. The implementation uses an efficient hedge algorithm comparable with hedge-union.
Intersection
intersection :: Ord k => Map k a -> Map k b -> Map k a
O(n+m). Intersection of two maps. The values in the first map are returned, i.e. (``intersection` m1 m2 == `intersectionWith` `const` m1 m2`).
intersectionWith :: Ord k => (a -> b -> c) -> Map k a -> Map k b -> Map k c
O(n+m). Intersection with a combining function.
intersectionWithKey :: Ord k => (k -> a -> b -> c) -> Map k a -> Map k b -> Map k c
O(n+m). Intersection with a combining function. Intersection is more efficient on (bigset `intersection` smallset)
Traversal
Map
map :: (a -> b) -> Map k a -> Map k b
O(n). Map a function over all values in the map.
mapWithKey :: (k -> a -> b) -> Map k a -> Map k b
O(n). Map a function over all values in the map.
mapAccum :: (a -> b -> (a, c)) -> a -> Map k b -> (a, Map k c)
O(n). The function `mapAccum` threads an accumulating argument through the map in ascending order of keys.
mapAccumWithKey :: (a -> k -> b -> (a, c)) -> a -> Map k b -> (a, Map k c)
O(n). The function `mapAccumWithKey` threads an accumulating argument through the map in ascending order of keys.
mapKeys :: Ord k2 => (k1 -> k2) -> Map k1 a -> Map k2 a
O(n*log n). ``mapKeys` f s` is the map obtained by applying `f` to each key of `s`. The size of the result may be smaller if `f` maps two or more distinct keys to the same new key. In this case the value at the smallest of these keys is retained.
mapKeysWith :: Ord k2 => (a -> a -> a) -> (k1 -> k2) -> Map k1 a -> Map k2 a
O(n*log n). ``mapKeysWith` c f s` is the map obtained by applying `f` to each key of `s`. The size of the result may be smaller if `f` maps two or more distinct keys to the same new key. In this case the associated values will be combined using `c`.
mapKeysMonotonic :: (k1 -> k2) -> Map k1 a -> Map k2 a
O(n). ``mapKeysMonotonic` f s == `mapKeys` f s`, but works only when `f` is strictly monotonic. The precondition is not checked. Semi-formally, we have:
     and [x < y ==> f x < f y | x <- ls, y <- ls]
                         ==> mapKeysMonotonic f s == mapKeys f s
         where ls = keys s
Fold
fold :: (a -> b -> b) -> b -> Map k a -> b
O(n). Fold the values in the map, such that ``fold` f z == `foldr` f z . `elems``. For example,
     elems map = fold (:) [] map
foldWithKey :: (k -> a -> b -> b) -> b -> Map k a -> b
O(n). Fold the keys and values in the map, such that ``foldWithKey` f z == `foldr` (`uncurry` f) z . `toAscList``. For example,
     keys map = foldWithKey (\k x ks -> k:ks) [] map
Conversion
elems :: Map k a -> [a]
O(n). Return all elements of the map in the ascending order of their keys.
keys :: Map k a -> [k]
O(n). Return all keys of the map in ascending order.
keysSet :: Map k a -> Set k
O(n). The set of all keys of the map.
assocs :: Map k a -> [(k, a)]
O(n). Return all key/value pairs in the map in ascending key order.
Lists
toList :: Map k a -> [(k, a)]
O(n). Convert to a list of key/value pairs.
fromList :: Ord k => [(k, a)] -> Map k a
O(n*log n). Build a map from a list of key/value pairs. See also `fromAscList`.
fromListWith :: Ord k => (a -> a -> a) -> [(k, a)] -> Map k a
O(n*log n). Build a map from a list of key/value pairs with a combining function. See also `fromAscListWith`.
fromListWithKey :: Ord k => (k -> a -> a -> a) -> [(k, a)] -> Map k a
O(n*log n). Build a map from a list of key/value pairs with a combining function. See also `fromAscListWithKey`.
Ordered lists
toAscList :: Map k a -> [(k, a)]
O(n). Convert to an ascending list.
fromAscList :: Eq k => [(k, a)] -> Map k a
O(n). Build a map from an ascending list in linear time. The precondition (input list is ascending) is not checked.
fromAscListWith :: Eq k => (a -> a -> a) -> [(k, a)] -> Map k a
O(n). Build a map from an ascending list in linear time with a combining function for equal keys. The precondition (input list is ascending) is not checked.
fromAscListWithKey :: Eq k => (k -> a -> a -> a) -> [(k, a)] -> Map k a
O(n). Build a map from an ascending list in linear time with a combining function for equal keys. The precondition (input list is ascending) is not checked.
fromDistinctAscList :: [(k, a)] -> Map k a
O(n). Build a map from an ascending list of distinct elements in linear time. The precondition is not checked.
Filter
filter :: Ord k => (a -> Bool) -> Map k a -> Map k a
O(n). Filter all values that satisfy the predicate.
filterWithKey :: Ord k => (k -> a -> Bool) -> Map k a -> Map k a
O(n). Filter all keys/values that satisfy the predicate.
partition :: Ord k => (a -> Bool) -> Map k a -> (Map k a, Map k a)
O(n). partition the map according to a predicate. The first map contains all elements that satisfy the predicate, the second all elements that fail the predicate. See also `split`.
partitionWithKey :: Ord k => (k -> a -> Bool) -> Map k a -> (Map k a, Map k a)
O(n). partition the map according to a predicate. The first map contains all elements that satisfy the predicate, the second all elements that fail the predicate. See also `split`.
split :: Ord k => k -> Map k a -> (Map k a, Map k a)
O(log n). The expression (``split` k map`) is a pair `(map1,map2)` where the keys in `map1` are smaller than `k` and the keys in `map2` larger than `k`. Any key equal to `k` is found in neither `map1` nor `map2`.
splitLookup :: Ord k => k -> Map k a -> (Map k a, Maybe a, Map k a)
O(log n). The expression (``splitLookup` k map`) splits a map just like `split` but also returns ``lookup` k map`.
Submap
isSubmapOf :: (Ord k, Eq a) => Map k a -> Map k a -> Bool
O(n+m). This function is defined as (``isSubmapOf` = `isSubmapOfBy` (==)`).
isSubmapOfBy :: Ord k => (a -> b -> Bool) -> Map k a -> Map k b -> Bool
O(n+m). The expression (``isSubmapOfBy` f t1 t2`) returns `True` if all keys in `t1` are in tree `t2`, and when `f` returns `True` when applied to their respective values. For example, the following expressions are all `True`:
     isSubmapOfBy (==) (fromList [('a',1)]) (fromList [('a',1),('b',2)])
     isSubmapOfBy (<=) (fromList [('a',1)]) (fromList [('a',1),('b',2)])
     isSubmapOfBy (==) (fromList [('a',1),('b',2)]) (fromList [('a',1),('b',2)])
But the following are all `False`:
     isSubmapOfBy (==) (fromList [('a',2)]) (fromList [('a',1),('b',2)])
     isSubmapOfBy (<)  (fromList [('a',1)]) (fromList [('a',1),('b',2)])
     isSubmapOfBy (==) (fromList [('a',1),('b',2)]) (fromList [('a',1)])
isProperSubmapOf :: (Ord k, Eq a) => Map k a -> Map k a -> Bool
O(n+m). Is this a proper submap? (ie. a submap but not equal). Defined as (``isProperSubmapOf` = `isProperSubmapOfBy` (==)`).
isProperSubmapOfBy :: Ord k => (a -> b -> Bool) -> Map k a -> Map k b -> Bool
O(n+m). Is this a proper submap? (ie. a submap but not equal). The expression (``isProperSubmapOfBy` f m1 m2`) returns `True` when `m1` and `m2` are not equal, all keys in `m1` are in `m2`, and when `f` returns `True` when applied to their respective values. For example, the following expressions are all `True`:
     isProperSubmapOfBy (==) (fromList [(1,1)]) (fromList [(1,1),(2,2)])
     isProperSubmapOfBy (<=) (fromList [(1,1)]) (fromList [(1,1),(2,2)])
But the following are all `False`:
     isProperSubmapOfBy (==) (fromList [(1,1),(2,2)]) (fromList [(1,1),(2,2)])
     isProperSubmapOfBy (==) (fromList [(1,1),(2,2)]) (fromList [(1,1)])
     isProperSubmapOfBy (<)  (fromList [(1,1)])       (fromList [(1,1),(2,2)])
Indexed
lookupIndex :: (Monad m, Ord k) => k -> Map k a -> m Int
O(log n). Lookup the index of a key. The index is a number from 0 up to, but not including, the `size` of the map.
findIndex :: Ord k => k -> Map k a -> Int
O(log n). Return the index of a key. The index is a number from 0 up to, but not including, the `size` of the map. Calls `error` when the key is not a `member` of the map.
elemAt :: Int -> Map k a -> (k, a)
O(log n). Retrieve an element by index. Calls `error` when an invalid index is used.
updateAt :: (k -> a -> Maybe a) -> Int -> Map k a -> Map k a
O(log n). Update the element at index. Calls `error` when an invalid index is used.
deleteAt :: Int -> Map k a -> Map k a
O(log n). Delete the element at index. Defined as (``deleteAt` i map = `updateAt` (k x -> `Nothing`) i map`).
Min/Max
findMin :: Map k a -> (k, a)
O(log n). The minimal key of the map.
findMax :: Map k a -> (k, a)
O(log n). The maximal key of the map.
deleteMin :: Map k a -> Map k a
O(log n). Delete the minimal key.
deleteMax :: Map k a -> Map k a
O(log n). Delete the maximal key.
deleteFindMin :: Map k a -> ((k, a), Map k a)
O(log n). Delete and find the minimal element.
deleteFindMax :: Map k a -> ((k, a), Map k a)
O(log n). Delete and find the maximal element.
updateMin :: (a -> Maybe a) -> Map k a -> Map k a
O(log n). Update the value at the minimal key.
updateMax :: (a -> Maybe a) -> Map k a -> Map k a
O(log n). Update the value at the maximal key.
updateMinWithKey :: (k -> a -> Maybe a) -> Map k a -> Map k a
O(log n). Update the value at the minimal key.
updateMaxWithKey :: (k -> a -> Maybe a) -> Map k a -> Map k a
O(log n). Update the value at the maximal key.
Debugging
showTree :: (Show k, Show a) => Map k a -> String
O(n). Show the tree that implements the map. The tree is shown in a compressed, hanging format.
showTreeWith :: (k -> a -> String) -> Bool -> Bool -> Map k a -> String
O(n). The expression (``showTreeWith` showelem hang wide map`) shows the tree that implements the map. Elements are shown using the `showElem` function. If `hang` is `True`, a hanging tree is shown otherwise a rotated tree is shown. If `wide` is `True`, an extra wide version is shown.
      Map> let t = fromDistinctAscList [(x,()) | x <- [1..5]]
      Map> putStrLn $ showTreeWith (\k x -> show (k,x)) True False t
      (4,())
      +--(2,())
      |  +--(1,())
      |  +--(3,())
      +--(5,())

      Map> putStrLn $ showTreeWith (\k x -> show (k,x)) True True t
      (4,())
      |
      +--(2,())
      |  |
      |  +--(1,())
      |  |
      |  +--(3,())
      |
      +--(5,())

      Map> putStrLn $ showTreeWith (\k x -> show (k,x)) False True t
      +--(5,())
      |
      (4,())
      |
      |  +--(3,())
      |  |
      +--(2,())
         |
         +--(1,())
valid :: Ord k => Map k a -> Bool
O(n). Test if the internal map structure is valid.
Produced by Haddock version 0.7