module Digraph(
-- At present the only one with a "nice" external interface
- stronglyConnComp, stronglyConnCompR, SCC(..),
+ stronglyConnComp, stronglyConnCompR, SCC(..), flattenSCC, flattenSCCs,
Graph, Vertex,
- graphFromEdges, buildG, transposeG, reverseE, outdegree, indegree,
+ graphFromEdges, graphFromEdges',
+ buildG, transposeG, reverseE, outdegree, indegree,
Tree(..), Forest,
showTree, showForest,
------------------------------------------------------------------------------
-#define ARR_ELT (COMMA)
+import Util ( sortLe )
+-- Extensions
+import MONAD_ST
+
+-- std interfaces
+import Maybe
import Array
import List
+import Outputable
+
+#if __GLASGOW_HASKELL__ >= 504
+import Data.Array.ST hiding ( indices, bounds )
+#else
import ST
-import ArrBase
-import Maybe
-import Util ( sortLt )
+#endif
\end{code}
data SCC vertex = AcyclicSCC vertex
| CyclicSCC [vertex]
+flattenSCCs :: [SCC a] -> [a]
+flattenSCCs = concatMap flattenSCC
+
+flattenSCC (AcyclicSCC v) = [v]
+flattenSCC (CyclicSCC vs) = vs
+
+instance Outputable a => Outputable (SCC a) where
+ ppr (AcyclicSCC v) = text "NONREC" $$ (nest 3 (ppr v))
+ ppr (CyclicSCC vs) = text "REC" $$ (nest 3 (vcat (map ppr vs)))
+\end{code}
+
+\begin{code}
stronglyConnComp
:: Ord key
=> [(node, key, [key])] -- The graph; its ok for the
-- out-list to contain keys which arent
-- a vertex key, they are ignored
- -> [SCC node]
+ -> [SCC node] -- Returned in topologically sorted order
+ -- Later components depend on earlier ones, but not vice versa
stronglyConnComp edges
= map get_node (stronglyConnCompR edges)
=> [(node, key, [key])] -- The graph; its ok for the
-- out-list to contain keys which arent
-- a vertex key, they are ignored
- -> [SCC (node, key, [key])]
+ -> [SCC (node, key, [key])] -- Topologically sorted
stronglyConnCompR [] = [] -- added to avoid creating empty array in graphFromEdges -- SOF
stronglyConnCompR edges
= map decode forest
where
- (graph, vertex_fn) = graphFromEdges edges
- forest = scc graph
+ (graph, vertex_fn) = _scc_ "graphFromEdges" graphFromEdges edges
+ forest = _scc_ "Digraph.scc" scc graph
decode (Node v []) | mentions_itself v = CyclicSCC [vertex_fn v]
| otherwise = AcyclicSCC (vertex_fn v)
decode other = CyclicSCC (dec other [])
mapT f t = array (bounds t) [ (,) v (f v (t!v)) | v <- indices t ]
buildG :: Bounds -> [Edge] -> Graph
-#ifdef REALLY_HASKELL_1_3
buildG bounds edges = accumArray (flip (:)) [] bounds edges
-#else
-buildG bounds edges = accumArray (flip (:)) [] bounds [(,) k v | (k,v) <- edges]
-#endif
transposeG :: Graph -> Graph
transposeG g = buildG (bounds g) (reverseE g)
\begin{code}
-graphFromEdges
+graphFromEdges
:: Ord key
=> [(node, key, [key])]
-> (Graph, Vertex -> (node, key, [key]))
-graphFromEdges edges
- = (graph, \v -> vertex_map ! v)
+graphFromEdges edges =
+ case graphFromEdges' edges of (graph, vertex_fn, _) -> (graph, vertex_fn)
+
+graphFromEdges'
+ :: Ord key
+ => [(node, key, [key])]
+ -> (Graph, Vertex -> (node, key, [key]), key -> Maybe Vertex)
+graphFromEdges' edges
+ = (graph, \v -> vertex_map ! v, key_vertex)
where
max_v = length edges - 1
bounds = (0,max_v) :: (Vertex, Vertex)
- sorted_edges = sortLt lt edges
+ sorted_edges = let
+ (_,k1,_) `le` (_,k2,_) = case k1 `compare` k2 of { GT -> False; other -> True }
+ in
+ sortLe le edges
edges1 = zipWith (,) [0..] sorted_edges
graph = array bounds [(,) v (mapMaybe key_vertex ks) | (,) v (_, _, ks) <- edges1]
- key_map = array bounds [(,) v k | (,) v (_, k, _ ) <- edges1]
+ key_map = array bounds [(,) v k | (,) v (_, k, _ ) <- edges1]
vertex_map = array bounds edges1
- (_,k1,_) `lt` (_,k2,_) = case k1 `compare` k2 of { LT -> True; other -> False }
-- key_vertex :: key -> Maybe Vertex
-- returns Nothing for non-interesting vertices
draw (Node x ts) = grp this (space (length this)) (stLoop ts)
where this = s1 ++ x ++ " "
- space n = take n (repeat ' ')
+ space n = replicate n ' '
stLoop [] = [""]
stLoop [t] = grp s2 " " (draw t)
%************************************************************************
\begin{code}
-type Set s = MutableArray s Vertex Bool
+#if __GLASGOW_HASKELL__ >= 504
+newSTArray :: Ix i => (i,i) -> e -> ST s (STArray s i e)
+newSTArray = newArray
+
+readSTArray :: Ix i => STArray s i e -> i -> ST s e
+readSTArray = readArray
+
+writeSTArray :: Ix i => STArray s i e -> i -> e -> ST s ()
+writeSTArray = writeArray
+#endif
+
+type Set s = STArray s Vertex Bool
mkEmpty :: Bounds -> ST s (Set s)
-mkEmpty bnds = newArray bnds False
+mkEmpty bnds = newSTArray bnds False
contains :: Set s -> Vertex -> ST s Bool
-contains m v = readArray m v
+contains m v = readSTArray m v
include :: Set s -> Vertex -> ST s ()
-include m v = writeArray m v True
+include m v = writeSTArray m v True
\end{code}
\begin{code}
preorderF :: Forest a -> [a]
preorderF ts = concat (map preorder ts)
-preOrd :: Graph -> [Vertex]
-preOrd = preorderF . dff
-
tabulate :: Bounds -> [Vertex] -> Table Int
tabulate bnds vs = array bnds (zipWith (,) vs [1..])
------------------------------------------------------------
\begin{code}
-tree :: Bounds -> Forest Vertex -> Graph
-tree bnds ts = buildG bnds (concat (map flat ts))
- where
- flat (Node v rs) = [ (v, w) | Node w us <- ts ] ++
- concat (map flat ts)
-
back :: Graph -> Table Int -> Graph
back g post = mapT select g
where select v ws = [ w | w <- ws, post!v < post!w ]
\begin{code}
bcc :: Graph -> Forest [Vertex]
-bcc g = (concat . map bicomps . map (label g dnum)) forest
+bcc g = (concat . map bicomps . map (do_label g dnum)) forest
where forest = dff g
dnum = preArr (bounds g) forest
-label :: Graph -> Table Int -> Tree Vertex -> Tree (Vertex,Int,Int)
-label g dnum (Node v ts) = Node (v,dnum!v,lv) us
- where us = map (label g dnum) ts
+do_label :: Graph -> Table Int -> Tree Vertex -> Tree (Vertex,Int,Int)
+do_label g dnum (Node v ts) = Node (v,dnum!v,lv) us
+ where us = map (do_label g dnum) ts
lv = minimum ([dnum!v] ++ [dnum!w | w <- g!v]
++ [lu | Node (u,du,lu) xs <- us])
projects / ghc-hetmet.git / blobdiff