\begin{code}
-#if defined(COMPILING_GHC)
-# include "HsVersions.h"
-#endif
-
module Digraph(
-- At present the only one with a "nice" external interface
- stronglyConnComp, stronglyConnCompR, SCC(..),
+ stronglyConnComp, stronglyConnCompR, SCC(..), flattenSCC, flattenSCCs,
- SYN_IE(Graph), SYN_IE(Vertex),
+ Graph, Vertex,
graphFromEdges, buildG, transposeG, reverseE, outdegree, indegree,
- Tree(..), SYN_IE(Forest),
+ Tree(..), Forest,
showTree, showForest,
dfs, dff,
) where
+# include "HsVersions.h"
+
------------------------------------------------------------------------------
-- A version of the graph algorithms described in:
--
-- Also included is some additional code for printing tree structures ...
------------------------------------------------------------------------------
-#ifdef REALLY_HASKELL_1_3
#define ARR_ELT (COMMA)
+import Util ( sortLt )
+
+-- Extensions
+import MONAD_ST
+
+-- std interfaces
+import Maybe
import Array
import List
-import ST
-import ArrBase
-import Maybe
+import Outputable
+#if __GLASGOW_HASKELL__ >= 504
+import Data.Array.ST hiding ( indices, bounds )
#else
-
-#define ARR_ELT (:=)
-#define runST _runST
-#define MutableArray _MutableArray
-#define Show Text
-
-import PreludeGlaST
-import Maybes ( mapMaybe )
-
+import ST
#endif
-
-import Util ( Ord3(..),
- sortLt
- )
\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
- :: Ord3 key
+ :: Ord key
=> [(node, key, [key])] -- The graph; its ok for the
-- out-list to contain keys which arent
-- a vertex key, they are ignored
-- The "R" interface is used when you expect to apply SCC to
-- the (some of) the result of SCC, so you dont want to lose the dependency info
stronglyConnCompR
- :: Ord3 key
+ :: 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, key, [key])]
+ -> [SCC (node, key, [key])] -- Topologically sorted
stronglyConnCompR [] = [] -- added to avoid creating empty array in graphFromEdges -- SOF
stronglyConnCompR edges
edges g = [ (v, w) | v <- vertices g, w <- g!v ]
mapT :: (Vertex -> a -> b) -> Table a -> Table b
-mapT f t = array (bounds t) [ ARR_ELT v (f v (t!v)) | v <- indices t ]
+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 [ARR_ELT k v | (k,v) <- edges]
-#endif
transposeG :: Graph -> Graph
transposeG g = buildG (bounds g) (reverseE g)
\begin{code}
graphFromEdges
- :: Ord3 key
+ :: Ord key
=> [(node, key, [key])]
-> (Graph, Vertex -> (node, key, [key]))
graphFromEdges edges
max_v = length edges - 1
bounds = (0,max_v) :: (Vertex, Vertex)
sorted_edges = sortLt lt edges
- edges1 = zipWith ARR_ELT [0..] sorted_edges
+ edges1 = zipWith (,) [0..] sorted_edges
- graph = array bounds [ARR_ELT v (mapMaybe key_vertex ks) | ARR_ELT v (_, _, ks) <- edges1]
- key_map = array bounds [ARR_ELT v k | ARR_ELT v (_, k, _ ) <- edges1]
+ graph = array bounds [(,) v (mapMaybe key_vertex ks) | (,) v (_, _, ks) <- edges1]
+ key_map = array bounds [(,) v k | (,) v (_, k, _ ) <- edges1]
vertex_map = array bounds edges1
- (_,k1,_) `lt` (_,k2,_) = case k1 `cmp` k2 of { LT_ -> True; other -> False }
+ (_,k1,_) `lt` (_,k2,_) = case k1 `compare` k2 of { LT -> True; other -> False }
-- key_vertex :: key -> Maybe Vertex
-- returns Nothing for non-interesting vertices
where
find a b | a > b
= Nothing
- find a b = case cmp k (key_map ! mid) of
- LT_ -> find a (mid-1)
- EQ_ -> Just mid
- GT_ -> find (mid+1) b
+ find a b = case compare k (key_map ! mid) of
+ LT -> find a (mid-1)
+ EQ -> Just mid
+ GT -> find (mid+1) b
where
mid = (a + b) `div` 2
\end{code}
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}
generate g v = Node v (map (generate g) (g!v))
prune :: Bounds -> Forest Vertex -> Forest Vertex
-prune bnds ts = runST (mkEmpty bnds `thenST` \m ->
+prune bnds ts = runST (mkEmpty bnds >>= \m ->
chop m ts)
chop :: Set s -> Forest Vertex -> ST s (Forest Vertex)
-chop m [] = returnST []
+chop m [] = return []
chop m (Node v ts : us)
- = contains m v `thenStrictlyST` \visited ->
+ = contains m v >>= \visited ->
if visited then
chop m us
else
- include m v `thenStrictlyST` \_ ->
- chop m ts `thenStrictlyST` \as ->
- chop m us `thenStrictlyST` \bs ->
- returnST (Node v as : bs)
+ include m v >>= \_ ->
+ chop m ts >>= \as ->
+ chop m us >>= \bs ->
+ return (Node v as : bs)
\end{code}
preOrd = preorderF . dff
tabulate :: Bounds -> [Vertex] -> Table Int
-tabulate bnds vs = array bnds (zipWith ARR_ELT vs [1..])
+tabulate bnds vs = array bnds (zipWith (,) vs [1..])
preArr :: Bounds -> Forest Vertex -> Table Int
preArr bnds = tabulate bnds . preorderF
\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