module PGF.Generate where import PGF.CId import PGF.Data import PGF.Macros import PGF.TypeCheck import PGF.Probabilistic import qualified Data.Map as M import System.Random -- generate all fillings of metavariables in an expr generateAllFrom :: Maybe Expr -> PGF -> Type -> Maybe Int -> [Expr] generateAllFrom mex pgf ty mi = maybe (gen ty) (generateForMetas False pgf gen) mex where gen ty = generate pgf ty mi -- generate random fillings of metavariables in an expr generateRandomFrom :: Maybe Expr -> Maybe Probabilities -> StdGen -> PGF -> Type -> [Expr] generateRandomFrom mex ps rg pgf ty = maybe (gen ty) (generateForMetas True pgf gen) mex where gen ty = genRandomProb ps rg pgf ty -- generic algorithm for filling holes in a generator -- for random, should be breadth-first, since otherwise first metas always get the same -- value when a list is generated generateForMetas :: Bool -> PGF -> (Type -> [Expr]) -> Expr -> [Expr] generateForMetas breadth pgf gen exp = case exp of EApp f (EMeta _) -> [EApp g a | g <- gener f, a <- genArg g] EApp f x | breadth -> [EApp g a | (g,a) <- zip (gener f) (gener x)] EApp f x -> [EApp g a | (g,a) <- zip (gener f) (gener x)] _ -> if breadth then repeat exp else [exp] where gener = generateForMetas breadth pgf gen genArg f = case inferExpr pgf f of Right (_,DTyp ((_,_,ty):_) _ _) -> gen ty _ -> [] -- generate an infinite list of trees exhaustively generate :: PGF -> Type -> Maybe Int -> [Expr] generate pgf ty@(DTyp _ cat _) dp = filter (\e -> case checkExpr pgf e ty of Left _ -> False Right _ -> True ) (concatMap (\i -> gener i cat) depths) where gener 0 c = [EFun f | (f, ([],_)) <- fns c] gener i c = [ tr | (f, (cs,_)) <- fns c, let alts = map (gener (i-1)) cs, ts <- combinations alts, let tr = foldl EApp (EFun f) ts, depth tr >= i ] fns c = [(f,catSkeleton ty) | (f,ty) <- functionsToCat pgf c] depths = maybe [0 ..] (\d -> [0..d]) dp -- generate an infinite list of trees randomly genRandom :: StdGen -> PGF -> Type -> [Expr] genRandom = genRandomProb Nothing genRandomProb :: Maybe Probabilities -> StdGen -> PGF -> Type -> [Expr] genRandomProb mprobs gen pgf ty@(DTyp _ cat _) = filter (\e -> case checkExpr pgf e ty of Left _ -> False Right _ -> True ) (genTrees (randomRs (0.0, 1.0 :: Double) gen) cat) where timeout = 47 -- give up genTrees ds0 cat = let (ds,ds2) = splitAt (timeout+1) ds0 -- for time out, else ds (t,k) = genTree ds cat in (if k>timeout then id else (t:)) (genTrees ds2 cat) -- else (drop k ds) genTree rs = gett rs where gett ds cid | cid == cidString = (ELit (LStr "foo"), 1) gett ds cid | cid == cidInt = (ELit (LInt 12345), 1) gett ds cid | cid == cidFloat = (ELit (LFlt 12345), 1) gett [] _ = (ELit (LStr "TIMEOUT"), 1) ---- gett ds cat = case fns cat of [] -> (EMeta 0,1) fs -> let d:ds2 = ds (f,args) = getf d fs (ts,k) = getts ds2 args in (foldl EApp f ts, k+1) getf d fs = case mprobs of Just _ -> hitRegion d [(p,(f,args)) | (p,(f,args)) <- fs] _ -> let lg = length fs (f,v) = snd (fs !! (floor (d * fromIntegral lg))) in (EFun f,v) getts ds cats = case cats of c:cs -> let (t, k) = gett ds c (ts,ks) = getts (drop k ds) cs in (t:ts, k + ks) _ -> ([],0) fns :: CId -> [(Double,(CId,[CId]))] fns cat = case mprobs of Just probs -> maybe [] id $ M.lookup cat (catProbs probs) _ -> [(deflt,(f,(fst (catSkeleton ty)))) | let fs = functionsToCat pgf cat, (f,ty) <- fs, let deflt = 1.0 / fromIntegral (length fs)] hitRegion :: Double -> [(Double,(CId,[a]))] -> (Expr,[a]) hitRegion d vs = case vs of (p1,(f,v1)):vs2 -> if d < p1 then (EFun f, v1) else hitRegion (d-p1) vs2 _ -> (EMeta 9,[])