fgl-5.3: Data/Graph/Inductive/Query/BFS.hs
-- (c) 2000-2005 by Martin Erwig [see file COPYRIGHT]
-- | Breadth-First Search Algorithms
module Data.Graph.Inductive.Query.BFS(
-- * BFS Node List
bfs,bfsn,bfsWith,bfsnWith,
-- * Node List With Depth Info
level,leveln,
-- * BFS Edges
bfe,bfen,
-- * BFS Tree
bft,lbft,
-- * Shortest Path (Number of Edges)
esp,lesp
) where
import Data.Graph.Inductive.Graph
import Data.Graph.Inductive.Internal.Queue
import Data.Graph.Inductive.Internal.RootPath
-- bfs (node list ordered by distance)
--
bfsnInternal :: Graph gr => (Context a b -> c) -> Queue Node -> gr a b -> [c]
bfsnInternal f q g | queueEmpty q || isEmpty g = []
| otherwise =
case match v g of
(Just c, g') -> f c:bfsnInternal f (queuePutList (suc' c) q') g'
(Nothing, g') -> bfsnInternal f q' g'
where (v,q') = queueGet q
bfsnWith :: Graph gr => (Context a b -> c) -> [Node] -> gr a b -> [c]
bfsnWith f vs = bfsnInternal f (queuePutList vs mkQueue)
bfsn :: Graph gr => [Node] -> gr a b -> [Node]
bfsn = bfsnWith node'
bfsWith :: Graph gr => (Context a b -> c) -> Node -> gr a b -> [c]
bfsWith f v = bfsnInternal f (queuePut v mkQueue)
bfs :: Graph gr => Node -> gr a b -> [Node]
bfs = bfsWith node'
-- level (extension of bfs giving the depth of each node)
--
level :: Graph gr => Node -> gr a b -> [(Node,Int)]
level v = leveln [(v,0)]
suci c i = zip (suc' c) (repeat i)
leveln :: Graph gr => [(Node,Int)] -> gr a b -> [(Node,Int)]
leveln [] _ = []
leveln _ g | isEmpty g = []
leveln ((v,j):vs) g = case match v g of
(Just c,g') -> (v,j):leveln (vs++suci c (j+1)) g'
(Nothing,g') -> leveln vs g'
-- bfe (breadth first edges)
-- remembers predecessor information
--
bfenInternal :: Graph gr => Queue Edge -> gr a b -> [Edge]
bfenInternal q g | queueEmpty q || isEmpty g = []
| otherwise =
case match v g of
(Just c, g') -> (u,v):bfenInternal (queuePutList (outU c) q') g'
(Nothing, g') -> bfenInternal q' g'
where ((u,v),q') = queueGet q
bfen :: Graph gr => [Edge] -> gr a b -> [Edge]
bfen vs g = bfenInternal (queuePutList vs mkQueue) g
bfe :: Graph gr => Node -> gr a b -> [Edge]
bfe v = bfen [(v,v)]
outU c = map (\(v,w,_)->(v,w)) (out' c)
-- bft (breadth first search tree)
-- here: with inward directed trees
--
-- bft :: Node -> gr a b -> IT.InTree Node
-- bft v g = IT.build $ map swap $ bfe v g
-- where swap (x,y) = (y,x)
--
-- sp (shortest path wrt to number of edges)
--
-- sp :: Node -> Node -> gr a b -> [Node]
-- sp s t g = reverse $ IT.rootPath (bft s g) t
-- faster shortest paths
-- here: with root path trees
--
bft :: Graph gr => Node -> gr a b -> RTree
bft v = bf (queuePut [v] mkQueue)
bf :: Graph gr => Queue Path -> gr a b -> RTree
bf q g | queueEmpty q || isEmpty g = []
| otherwise =
case match v g of
(Just c, g') -> p:bf (queuePutList (map (:p) (suc' c)) q') g'
(Nothing, g') -> bf q' g'
where (p@(v:_),q') = queueGet q
esp :: Graph gr => Node -> Node -> gr a b -> Path
esp s t = getPath t . bft s
-- lesp is a version of esp that returns labeled paths
-- Note that the label of the first node in a returned path is meaningless;
-- all other nodes are paired with the label of their incoming edge.
--
lbft :: Graph gr => Node -> gr a b -> LRTree b
lbft v g = case (out g v) of
[] -> [LP []]
(v',_,l):_ -> lbf (queuePut (LP [(v',l)]) mkQueue) g
lbf :: Graph gr => Queue (LPath b) -> gr a b -> LRTree b
lbf q g | queueEmpty q || isEmpty g = []
| otherwise =
case match v g of
(Just c, g') ->
LP p:lbf (queuePutList (map (\v' -> LP (v':p)) (lsuc' c)) q') g'
(Nothing, g') -> lbf q' g'
where ((LP (p@((v,_):_))),q') = queueGet q
lesp :: Graph gr => Node -> Node -> gr a b -> LPath b
lesp s t = getLPath t . lbft s