-- | Index structure for context-free grammars on strings. A @Subword@ captures -- a pair @(i,j)@ with @i<=j@. module Data.PrimitiveArray.Index.Subword where import Control.Applicative ((<$>)) import Control.DeepSeq (NFData(..)) import Control.Monad (filterM, guard) import Data.Aeson (FromJSON,ToJSON) import Data.Binary (Binary) import Data.Hashable (Hashable) import Data.Serialize (Serialize) import Data.Vector.Fusion.Stream.Monadic (Step(..), map) import Data.Vector.Unboxed.Deriving import GHC.Generics (Generic) import Prelude hiding (map) import Test.QuickCheck (Arbitrary(..), choose) import Test.SmallCheck.Series as TS import Math.TriangularNumbers import Data.PrimitiveArray.Index.Class import Data.PrimitiveArray.Index.IOC import Data.PrimitiveArray.Vector.Compat -- | A subword wraps a pair of @Int@ indices @i,j@ with @i<=j@. -- -- Subwords always yield the upper-triangular part of a rect-angular array. -- This gives the quite curious effect that @(0,N)@ points to the -- ``largest'' index, while @(0,0) ... (1,1) ... (k,k) ... (N,N)@ point to -- the smallest. We do, however, use (0,0) as the smallest as (0,k) gives -- successively smaller upper triangular parts. newtype Subword t = Subword {fromSubword :: (Int:.Int)} deriving (Eq,Ord,Show,Generic,Read) derivingUnbox "Subword" [t| forall t . Subword t -> (Int,Int) |] [| \ (Subword (i:.j)) -> (i,j) |] [| \ (i,j) -> Subword (i:.j) |] instance Binary (Subword t) instance Serialize (Subword t) instance FromJSON (Subword t) instance ToJSON (Subword t) instance Hashable (Subword t) instance NFData (Subword t) where rnf (Subword (i:.j)) = i `seq` rnf j {-# Inline rnf #-} -- | Create a @Subword t@ where @t@ is inferred. subword :: Int -> Int -> Subword t subword i j = Subword (i:.j) {-# INLINE subword #-} subwordI :: Int -> Int -> Subword I subwordI i j = Subword (i:.j) {-# INLINE subwordI #-} subwordO :: Int -> Int -> Subword O subwordO i j = Subword (i:.j) {-# INLINE subwordO #-} subwordC :: Int -> Int -> Subword C subwordC i j = Subword (i:.j) {-# INLINE subwordC #-} instance Index (Subword t) where linearIndex _ (Subword (_:.n)) (Subword (i:.j)) = toLinear n (i,j) {-# Inline linearIndex #-} smallestLinearIndex _ = error "still needed?" {-# Inline smallestLinearIndex #-} largestLinearIndex (Subword (i:.j)) = linearizeUppertri (i,j) - 1 {-# Inline largestLinearIndex #-} size _ (Subword (i:.j)) = linearizeUppertri (i,j) {-# Inline size #-} inBounds _ (Subword (_:.h)) (Subword (i:.j)) = 0<=i && i<=j && j<=h {-# Inline inBounds #-} -- | @Subword I@ (inside) instance IndexStream z => IndexStream (z:.Subword I) where streamUp (ls:.Subword (l:._)) (hs:.Subword (_:.h)) = flatten (streamUpMk h) (streamUpStep l h) $ streamUp ls hs streamDown (ls:.Subword (l:._)) (hs:.Subword (_:.h)) = flatten (streamDownMk l h) (streamDownStep h) $ streamDown ls hs {-# Inline streamUp #-} {-# Inline streamDown #-} -- | @Subword O@ (outside). -- -- Note: @streamUp@ really needs to use @streamDownMk@ / @streamDownStep@ -- for the right order of indices! instance IndexStream z => IndexStream (z:.Subword O) where streamUp (ls:.Subword (l:._)) (hs:.Subword (_:.h)) = flatten (streamDownMk l h) (streamDownStep h) $ streamUp ls hs streamDown (ls:.Subword (l:._)) (hs:.Subword (_:.h)) = flatten (streamUpMk h) (streamUpStep l h) $ streamDown ls hs {-# Inline streamUp #-} {-# Inline streamDown #-} -- | @Subword C@ (complement) instance IndexStream z => IndexStream (z:.Subword C) where streamUp (ls:.Subword (l:._)) (hs:.Subword (_:.h)) = flatten (streamUpMk h) (streamUpStep l h) $ streamUp ls hs streamDown (ls:.Subword (l:._)) (hs:.Subword (_:.h)) = flatten (streamDownMk l h) (streamDownStep h) $ streamDown ls hs {-# Inline streamUp #-} {-# Inline streamDown #-} -- | generic @mk@ for @streamUp@ / @streamDown@ streamUpMk h z = return (z,h,h) {-# Inline [0] streamUpMk #-} streamUpStep l h (z,i,j) | i < l = return $ Done | j > h = return $ Skip (z,i-1,i-1) | otherwise = return $ Yield (z:.subword i j) (z,i,j+1) {-# Inline [0] streamUpStep #-} streamDownMk l h z = return (z,l,h) {-# Inline [0] streamDownMk #-} streamDownStep h (z,i,j) | i > h = return $ Done | j < i = return $ Skip (z,i+1,h) | otherwise = return $ Yield (z:.subword i j) (z,i,j-1) {-# Inline [0] streamDownStep #-} instance (IndexStream (Z:.Subword t)) => IndexStream (Subword t) instance Arbitrary (Subword t) where arbitrary = do a <- choose (0,20) b <- choose (0,20) return $ Subword (min a b :. max a b) shrink (Subword (i:.j)) | i Serial m (Subword t) where series = do i <- TS.getNonNegative <$> series j <- TS.getNonNegative <$> series guard $ i<=j return $ subword i j {- let nns :: Series m Int = TS.getNonNegative <$> series ps <- nns >< nns let qs = [ subword i j | (i,j) <- ps, i<=j ] return qs -}