HaRe-0.6: tools/base/SA/SCC.hs
-- $Id: SCC.hs,v 1.10 2001/07/30 19:02:20 moran Exp $
module SCC where
import Scope(freeD)
import ST
import List
import qualified Array as A
import Syntax
subgraph nodes g =
let es = edges g
f (x,y) = elem x nodes && elem y nodes
es' = filter f es
n = (length nodes) - 1
bounds = (0,n)
pairs = zip nodes [0..]
encode x = case find (\ (a,b) -> a==x) pairs of Just(a,b) -> b
decode x = case find (\ (a,b) -> b==x) pairs of Just(a,b) -> a
trans (x,y) = (encode x, encode y)
g' = buildG bounds (map trans es')
in g'
hascycle nodes g =
any (\ x -> length x >1) (scc2 (subgraph nodes g))
---------------------------------------------
bindingGroups :: [HsDecl] -> ([[HsDecl]],Bool)
bindingGroups ds =
let graph = makeGraph ds
topsort = SCC.scc2 graph
f group = map (\x -> ds!!x) group
groups = map f topsort
isSynonym (Dec (HsTypeDecl _ _ _)) = True
isSynonym _ = False
bs = map isSynonym ds
isSyn n = bs !! n
nodes = filter isSyn (indices graph)
syngraph = subgraph nodes graph
in (groups,hascycle nodes syngraph)
tim = bindingGroups
------------------------------------------
-- f x = 2 + (g x)
-- g y = (f y) - y
-- z = t
-- t = t
-- qq = y
-- m = (t,n) + (g n, t n)
makeGraph ds =
let (boundf,_) = freeD ds
get x = let (boundf,freef) = freeD [x]
in (boundf [], -- names defined in each d
nub(freef [])) -- d depends upon these
freelist = map get ds
bound = nub(boundf []) -- [f,g,z,t,qq,m]
restrict (defined,free) = (defined,intersect free bound)
pairs = map restrict freelist -- [([f],[g]),([g],[f]),([z],[t]),
-- ([t],[]),([qq],[]),([m],[t,g])]
loc x = loc' x pairs 0
loc' x ((def,f):xs) n = if elem x def then n else loc' x xs (n+1)
edge (def,free) n = (n,n) : (map (\ f -> (n,loc f)) free)
edges = concat (zipWith edge pairs [0..])
bounds = (0,(length ds) - 1)
in (buildG bounds edges)
vars ds = zip (map (\ (f1,f2) -> (f1 [], f2 [])) $ map (\x -> freeD [x]) ds) [0..]
boundIn :: HsName -> [( ([HsName],[HsName]), Int)] -> Int
boundIn n [] = -1 --error ("Variable " ++ (show n) ++ " not bound anywhere!!!")
boundIn n ( ((bounds,frees),dnum) : rest) =
if n `elem` bounds
then dnum
else boundIn n rest
buildGraph :: [(([HsName],[HsName]),Int)] -> [(([HsName],[HsName]),Int)] -> [(Int,Int)]
buildGraph ds [] = []
buildGraph ds (((bounds,frees),bnum):rest) =
(bnum,bnum) : [ (bnum,x ) | x <- map (\n -> boundIn n ds) frees ] ++ (buildGraph ds rest)
depgraph ds =
(buildG (-1, (length ds) - 1) $
((reverse (buildGraph (vars ds) (vars ds) ))) )
type Vertex = Int
-- Representing graphs:
type Table a = A.Array Vertex a -- [(Vertex, a)]
type Graph = Table [Vertex]
vertices :: Graph -> [Vertex]
vertices graph = A.indices graph -- (map fst . A.assocs) graph
type Edge = (Vertex, Vertex)
--aat tab v = case List.find (\ (x,y) -> x == v) (A.assocs tab) of Just (_,r) -> r
aat tab v = tab A.! v
indices tab = A.indices tab
edges :: Graph -> [Edge]
edges g = [ (v, w) | v <- vertices g, w <- g `aat` v ]
mapTr :: (Vertex -> a -> b) -> Table a -> Table b
mapTr f t = A.array (A.bounds t) [ (v, f v (t `aat` v)) | v <- indices t ]
type Bounds = (Vertex, Vertex)
outdegree :: Graph -> Table Int
outdegree = mapTr numEdges
where numEdges v ws = length ws
buildG :: Bounds -> [Edge] -> Graph
--buildG _ [] = []
--buildG _ (x:xs) = []
buildG bnds edges = A.accumArray (flip (:)) [] bnds edges
graph = buildG (1,10)
(reverse
[ (1, 2), (1, 6), (2, 3),
(2, 5), (3, 1), (3, 4),
(5, 4), (7, 8), (7, 10),
(8, 6), (8, 9), (8, 10) ]
)
-- Depth-first search
-- Specification and implementation of depth-first search:
data Tree a = Node a (Forest a) -- deriving Show
type Forest a = [Tree a]
instance Show a => Show (Tree a) where
show (Node a []) = (show a)
show (Node a as) = (show a) ++ "" ++ (showList as "") ++ ""
nodesTree (Node a f) ans = nodesForest f (a:ans)
nodesForest [] ans = ans
nodesForest (t : f) ans = nodesTree t (nodesForest f ans)
dff :: Graph -> Forest Vertex
dff g = dfs g (vertices g)
dfs :: Graph -> [Vertex] -> Forest Vertex
dfs g vs = prune (A.bounds g) (map (generate g) vs)
generate :: Graph -> Vertex -> Tree Vertex
generate g v = Node v (map (generate g) (g `aat` v))
type Set s = STArray s Vertex Bool
mkEmpty :: Bounds -> ST s (Set s)
mkEmpty bnds = newSTArray bnds False
contains :: Set s -> Vertex -> ST s Bool
contains m v = readSTArray m v
include :: Set s -> Vertex -> ST s ()
include m v = writeSTArray m v True
prune :: Bounds -> Forest Vertex -> Forest Vertex
prune bnds ts = runST (mkEmpty bnds >>= \m ->
chop m ts)
chop :: Set s -> Forest Vertex -> ST s (Forest Vertex)
chop m [] = return []
chop m (Node v ts : us)
= contains m v >>= \visited ->
if visited then
chop m us
else
include m v >>= \_ ->
chop m ts >>= \as ->
chop m us >>= \bs ->
return (Node v as : bs)
-- Algorithm 2: topological sorting
postorder :: Tree a -> [a]
postorder (Node a ts) = postorderF ts ++ [a]
postorderF :: Forest a -> [a]
postorderF ts = concat (map postorder ts)
postOrd :: Graph -> [Vertex]
postOrd = postorderF . dff
--topSort :: Graph -> [Vertex]
--topSort = reverse . postOrd
-- Algorithm 4: strongly connected components
reverseE :: Graph -> [Edge]
reverseE g = [ (w, v) | (v, w) <- edges g ]
transposeG :: Graph -> Graph
transposeG g = buildG (A.bounds g) (reverseE g)
scc :: Graph -> Forest Vertex
scc g = dfs (transposeG g) (reverse (postOrd g))
scc2 g = reverse (map (\ t -> nodesTree t []) (scc g))