-- (c) 1999 by Martin Erwig -- | Threading Combinators. module Data.Graph.Inductive.Internal.Thread( -- * Types Split, SplitM, Thread, Collect, -- * Operations threadList', threadList, threadMaybe', threadMaybe, splitPar, splitParM ) where -- import Graph -- import GraphData -- import qualified Diet as D -- import ADT ---------------------------------------------------------------------- -- CLASSES AND TYPES ---------------------------------------------------------------------- {- class Thread t a b where split :: a -> t -> (b,t) instance Thread (Graph a b) Node (MContext a b) where split = match instance (D.Discrete a) => Thread (D.Diet a) a a where split x s = (x,D.delete x s) -} {- Make clear different notions: "thread" = data structure + split operation ... = threadable data structure ... = split operation -} ---------------------------------------------------------------------- -- THREAD COMBINATORS ---------------------------------------------------------------------- -- (A) split along a list of indexes and thread data structure -- -- there are different ways to consume the returned elements: {- -- (1) simple collect in a list -- foldT1' ys [] d = ys foldT1' ys (x:xs) d = foldT1' (y:ys) xs d' where (y,d') = split x d foldT1 xs d = foldT1' [] xs d -- (2) combine by a function -- foldT2' f ys [] d = ys foldT2' f ys (x:xs) d = foldT2' f (f y ys) xs d' where (y,d') = split x d foldT2 f u xs d = foldT2' f u xs d -} -- Mnemonics: -- -- t : thread type -- i : index type -- r : result type -- c : collection type -- type Split t i r = i -> t -> (r,t) type Thread t i r = (t,Split t i r) type Collect r c = (r -> c -> c,c) -- (3) abstract from split -- threadList' :: Collect r c -> Split t i r -> [i] -> t -> (c,t) threadList' (_,c) _ [] t = (c,t) threadList' (f,c) split (i:is) t = threadList' (f,f r c) split is t' where (r,t') = split i t {- Note: threadList' works top-down (or, from left), whereas dfs,gfold,... have been defined bottom-up (or from right). ==> therefore, we define a correpsonding operator for folding bottom-up/from right. -} threadList :: Collect r c -> Split t i r -> [i] -> t -> (c,t) threadList (_,c) _ [] t = (c,t) threadList (f,c) split (i:is) t = (f r c',t'') where (r,t') = split i t (c',t'') = threadList (f,c) split is t' -- (B) thread "maybes", ie, apply f to Just-values and continue -- threading with "continuation" c, and ignore Nothing-values, ie, -- stop threading and return current data structure. -- -- threadMaybe' :: (r -> b) -> Split t i r -> (e -> f -> (Maybe i,t)) -- -> e -> f -> (Maybe b,t) type SplitM t i r = Split t i (Maybe r) threadMaybe' :: (r->a)->Split t i r->Split t j (Maybe i)->Split t j (Maybe a) threadMaybe' f cont split j t = case mi of Just i -> (Just (f r),t'') where (r,t'') = cont i t' Nothing -> (Nothing,t') where (mi,t') = split j t -- extension: grant f access also to y, the result of split. -- -- threadMaybe :: (a -> b -> c) -> (a -> d -> (b,d)) -> (e -> f -> (Maybe a,d)) -- -> e -> f -> (Maybe c,d) -- threadMaybe :: (i->r->a)->Split t i r->Split t j (Maybe i)->Split t j (Maybe a) threadMaybe :: (i -> r -> a) -> Split t i r -> SplitM t j i -> SplitM t j a threadMaybe f cont split j t = case mi of Just i -> (Just (f i r),t'') where (r,t'') = cont i t' Nothing -> (Nothing,t') where (mi,t') = split j t -- (C) compose splits in parallel (is a kind of generalized zip) -- -- splitPar :: (a -> b -> (c,d)) -> (e -> f -> (g,h)) -- -> (a,e) -> (b,f) -> ((c,g),(d,h)) splitPar :: Split t i r -> Split u j s -> Split (t,u) (i,j) (r,s) splitPar split split' (i,j) (t,u) = ((r,s),(t',u')) where (r,t') = split i t (s,u') = split' j u splitParM :: SplitM t i r -> Split u j s -> SplitM (t,u) (i,j) (r,s) splitParM splitm split (i,j) (t,u) = case mr of Just r -> (Just (r,s),(t',u')) Nothing -> (Nothing,(t',u)) -- ignore 2nd split where (mr,t') = splitm i t (s,u') = split j u -- (D) merge a thread with/into a computation -- {- Example: assign consecutive numbers to the nodes of a tree Input: type d, thread (t,split), fold operation on d -}