module GF.GFCC.Generate where import GF.GFCC.Macros import GF.GFCC.DataGFCC import GF.GFCC.CId import qualified Data.Map as M import System.Random -- generate an infinite list of trees exhaustively generate :: GFCC -> CId -> Maybe Int -> [Exp] generate gfcc cat dp = concatMap (\i -> gener i cat) depths where gener 0 c = [tree (AC f) [] | (f, ([],_)) <- fns c] gener i c = [ tr | (f, (cs,_)) <- fns c, let alts = map (gener (i-1)) cs, ts <- combinations alts, let tr = tree (AC f) ts, depth tr >= i ] fns c = [(f,catSkeleton ty) | (f,ty) <- functionsToCat gfcc c] depths = maybe [0 ..] (\d -> [0..d]) dp -- generate an infinite list of trees randomly genRandom :: StdGen -> GFCC -> CId -> [Exp] genRandom gen gfcc cat = 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 == mkCId "String" = (tree (AS "foo") [], 1) gett ds cid | cid == mkCId "Int" = (tree (AI 12345) [], 1) gett [] _ = (tree (AS "TIMEOUT") [], 1) ---- gett ds cat = case fns cat of [] -> (tree (AM 0) [],1) fs -> let d:ds2 = ds (f,args) = getf d fs (ts,k) = getts ds2 args in (tree (AC f) ts, k+1) getf d fs = let lg = (length fs) in fs !! (floor (d * fromIntegral lg)) 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 cat = [(f,(fst (catSkeleton ty))) | (f,ty) <- functionsToCat gfcc cat] {- -- brute-force parsing method; only returns the first result -- note: you cannot throw away rules with unknown words from the grammar -- because it is not known which field in each rule may match the input searchParse :: Int -> GFCC -> CId -> [String] -> [Exp] searchParse i gfcc cat ws = [t | t <- gen, s <- lins t, words s == ws] where gen = take i $ generate gfcc cat lins t = [linearize gfcc lang t | lang <- cncnames gfcc] -}