1{-# LANGUAGE BangPatterns #-}
3{-# LANGUAGE ConstraintKinds #-}
4{-# LANGUAGE ExistentialQuantification #-}
5{-# LANGUAGE FlexibleContexts #-}
6{-# LANGUAGE FlexibleInstances #-}
7{-# LANGUAGE MultiParamTypeClasses #-}
8{-# LANGUAGE PatternSynonyms #-}
9{-# LANGUAGE ViewPatterns #-}
10{-# LANGUAGE RankNTypes #-}
12#include "../inline.hs"
15-- Module : Streamly.Streams.StreamD.Type
16-- Copyright : (c) 2018 Harendra Kumar
17-- Copyright : (c) Roman Leshchinskiy 2008-2010
20-- Maintainer : harendra.kumar@gmail.com
21-- Stability : experimental
24module Streamly.Streams.StreamD.Type
28 -- XXX UnStream is exported to avoid a performance issue in concatMap if we
29 -- use the pattern synonym "Stream".
30#if __GLASGOW_HASKELL__ >= 800
31 , Stream (Stream, UnStream)
67import Control.Applicative (liftA2)
68import Control.Monad (ap, when)
69import Control.Monad.Trans (lift, MonadTrans)
70import GHC.Types (SPEC(..))
71import Prelude hiding (map, mapM, foldr, take, concatMap)
73import Streamly.SVar (State(..), adaptState, defState)
74import Streamly.Fold.Types (Fold(..))
76import qualified Streamly.Streams.StreamK as K
78------------------------------------------------------------------------------
79-- The direct style stream type
80------------------------------------------------------------------------------
82-- | A stream is a succession of 'Step's. A 'Yield' produces a single value and
83-- the next state of the stream. 'Stop' indicates there are no more values in
85data Step s a = Yield a s | Skip s | Stop
88instance Functor (Step s) where
90 fmap f (Yield x s) = Yield (f x) s
91 fmap _ (Skip s) = Skip s
96-- | A stream consists of a step function that generates the next step given a
97-- current state, and the current state.
99 forall s. UnStream (State K.Stream m a -> s -> m (Step s a)) s
101unShare :: Stream m a -> Stream m a
102unShare (UnStream step state) = UnStream step' state
103 where step' gst = step (adaptState gst)
105pattern Stream :: (State K.Stream m a -> s -> m (Step s a)) -> s -> Stream m a
106pattern Stream step state <- (unShare -> UnStream step state)
107 where Stream = UnStream
109#if __GLASGOW_HASKELL__ >= 802
110{-# COMPLETE Stream #-}
113{-# INLINE_LATE fromStreamK #-}
114fromStreamK :: Monad m => K.Stream m a -> Stream m a
115fromStreamK = Stream step
118 let stop = return Stop
119 single a = return $ Yield a K.nil
120 yieldk a r = return $ Yield a r
121 in K.foldStreamShared gst yieldk single stop m1
123-- Convert a direct stream to and from CPS encoded stream
124{-# INLINE_LATE toStreamK #-}
125toStreamK :: Monad m => Stream m a -> K.Stream m a
126toStreamK (Stream step state) = go state
128 go st = K.mkStream $ \gst yld sng stp -> do
131 Yield x s -> yld x (go s)
132 Skip s -> K.foldStreamShared gst yld sng stp $ go s
135#ifndef DISABLE_FUSION
136{-# RULES "fromStreamK/toStreamK fusion"
137 forall s. toStreamK (fromStreamK s) = s #-}
138{-# RULES "toStreamK/fromStreamK fusion"
139 forall s. fromStreamK (toStreamK s) = s #-}
142------------------------------------------------------------------------------
144------------------------------------------------------------------------------
146{-# INLINE fromStreamD #-}
147fromStreamD :: (K.IsStream t, Monad m) => Stream m a -> t m a
148fromStreamD = K.fromStream . toStreamK
150------------------------------------------------------------------------------
152------------------------------------------------------------------------------
154-- | Map a monadic function over a 'Stream'
155{-# INLINE_NORMAL mapM #-}
156mapM :: Monad m => (a -> m b) -> Stream m a -> Stream m b
157mapM f (Stream step state) = Stream step' state
159 {-# INLINE_LATE step' #-}
161 r <- step (adaptState gst) st
163 Yield x s -> f x >>= \a -> return $ Yield a s
164 Skip s -> return $ Skip s
168map :: Monad m => (a -> b) -> Stream m a -> Stream m b
169map f = mapM (return . f)
171instance Monad m => Functor (Stream m) where
175------------------------------------------------------------------------------
177------------------------------------------------------------------------------
179{-# INLINE_NORMAL concatMapM #-}
180concatMapM :: Monad m => (a -> m (Stream m b)) -> Stream m a -> Stream m b
181concatMapM f (Stream step state) = Stream step' (Left state)
183 {-# INLINE_LATE step' #-}
184 step' gst (Left st) = do
185 r <- step (adaptState gst) st
189 return $ Skip (Right (b_stream, s))
190 Skip s -> return $ Skip (Left s)
193 -- XXX flattenArrays is 5x faster than "concatMap fromArray". if somehow we
194 -- can get inner_step to inline and fuse here we can perhaps get the same
195 -- performance using "concatMap fromArray".
197 -- XXX using the pattern synonym "Stream" causes a major performance issue
198 -- here even if the synonym does not include an adaptState call. Need to
199 -- find out why. Is that something to be fixed in GHC?
200 step' gst (Right (UnStream inner_step inner_st, st)) = do
201 r <- inner_step (adaptState gst) inner_st
204 return $ Yield b (Right (Stream inner_step inner_s, st))
206 return $ Skip (Right (Stream inner_step inner_s, st))
207 Stop -> return $ Skip (Left st)
209{-# INLINE concatMap #-}
210concatMap :: Monad m => (a -> Stream m b) -> Stream m a -> Stream m b
211concatMap f = concatMapM (return . f)
213-- XXX The idea behind this rule is to rewrite any calls to "concatMap
214-- fromArray" automatically to flattenArrays which is much faster. However, we
215-- need an INLINE_EARLY on concatMap for this rule to fire. But if we use
216-- INLINE_EARLY on concatMap or fromArray then direct uses of
217-- "concatMap fromArray" (without the RULE) become much slower, this means
218-- "concatMap f" in general would become slower. Need to find a solution to
221-- {-# RULES "concatMap Array.toStreamD"
222-- concatMap Array.toStreamD = Array.flattenArray #-}
224-- | Create a singleton 'Stream' from a pure value.
225{-# INLINE_NORMAL yield #-}
226yield :: Monad m => a -> Stream m a
227yield x = Stream (\_ s -> return $ step undefined s) True
229 {-# INLINE_LATE step #-}
230 step _ True = Yield x False
233instance Monad m => Applicative (Stream m) where
239-- NOTE: even though concatMap for StreamD is 4x faster compared to StreamK,
240-- the monad instance does not seem to be significantly faster.
241instance Monad m => Monad (Stream m) where
242 {-# INLINE return #-}
245 (>>=) = flip concatMap
247-- XXX Use of SPEC constructor in folds causes 2x performance degradation in
248-- one shot operations, but helps immensely in operations composed of multiple
249-- combinators or the same combinator many times. There seems to be an
250-- opportunity to optimize here, can we get both, better perf for single ops
251-- as well as composed ops? Without SPEC, all single operation benchmarks
254-- The way we want a left fold to be strict, dually we want the right fold to
255-- be lazy. The correct signature of the fold function to keep it lazy must be
256-- (a -> m b -> m b) instead of (a -> b -> m b). We were using the latter
257-- earlier, which is incorrect. In the latter signature we have to feed the
258-- value to the fold function after evaluating the monadic action, depending on
259-- the bind behavior of the monad, the action may get evaluated immediately
260-- introducing unnecessary strictness to the fold. If the implementation is
261-- lazy the following example, must work:
263-- S.foldrM (\x t -> if x then return t else return False) (return True)
264-- (S.fromList [False,undefined] :: SerialT IO Bool)
266{-# INLINE_NORMAL foldrM #-}
267foldrM :: Monad m => (a -> m b -> m b) -> m b -> Stream m a -> m b
268foldrM f z (Stream step state) = go SPEC state
271 r <- step defState st
273 Yield x s -> f x (go SPEC s)
277{-# INLINE_NORMAL foldrMx #-}
279 => (a -> m x -> m x) -> m x -> (m x -> m b) -> Stream m a -> m b
280foldrMx fstep final convert (Stream step state) = convert $ go SPEC state
283 r <- step defState st
285 Yield x s -> fstep x (go SPEC s)
289-- Note that foldr works on pure values, therefore it becomes necessarily
290-- strict when the monad m is strict. In that case it cannot terminate early,
291-- it would evaluate all of its input. Though, this should work fine with lazy
292-- monads. For example, if "any" is implemented using "foldr" instead of
293-- "foldrM" it performs the same with Identity monad but performs 1000x slower
296{-# INLINE_NORMAL foldr #-}
297foldr :: Monad m => (a -> b -> b) -> b -> Stream m a -> m b
298foldr f z = foldrM (\a b -> liftA2 f (return a) b) (return z)
300-- | Create a singleton 'Stream' from a monadic action.
301{-# INLINE_NORMAL yieldM #-}
302yieldM :: Monad m => m a -> Stream m a
303yieldM m = Stream step True
305 {-# INLINE_LATE step #-}
306 step _ True = m >>= \x -> return $ Yield x False
307 step _ False = return Stop
309-- this performs horribly, should not be used
310{-# INLINE_NORMAL foldrS #-}
313 => (a -> Stream m b -> Stream m b)
317foldrS f final (Stream step state) = go SPEC state
321 r <- yieldM $ step defState st
323 Yield x s -> f x (go SPEC s)
327-- Right fold to some transformer (T) monad. This can be useful to implement
328-- stateless combinators like map, filtering, insertions, takeWhile, dropWhile.
330{-# INLINE_NORMAL foldrT #-}
331foldrT :: (Monad m, Monad (t m), MonadTrans t)
332 => (a -> t m b -> t m b) -> t m b -> Stream m a -> t m b
333foldrT f final (Stream step state) = go SPEC state
336 r <- lift $ step defState st
338 Yield x s -> f x (go SPEC s)
343toList :: Monad m => Stream m a -> m [a]
346-- XXX run begin action only if the stream is not empty.
347{-# INLINE_NORMAL foldlMx' #-}
348foldlMx' :: Monad m => (x -> a -> m x) -> m x -> (x -> m b) -> Stream m a -> m b
349foldlMx' fstep begin done (Stream step state) =
350 begin >>= \x -> go SPEC x state
353 go !_ acc st = acc `seq` do
354 r <- step defState st
359 Skip s -> go SPEC acc s
362{-# INLINE foldlx' #-}
363foldlx' :: Monad m => (x -> a -> x) -> x -> (x -> b) -> Stream m a -> m b
364foldlx' fstep begin done m =
365 foldlMx' (\b a -> return (fstep b a)) (return begin) (return . done) m
367-- XXX implement in terms of foldlMx'?
368{-# INLINE_NORMAL foldlM' #-}
369foldlM' :: Monad m => (b -> a -> m b) -> b -> Stream m a -> m b
370foldlM' fstep begin (Stream step state) = go SPEC begin state
372 go !_ acc st = acc `seq` do
373 r <- step defState st
378 Skip s -> go SPEC acc s
382foldl' :: Monad m => (b -> a -> b) -> b -> Stream m a -> m b
383foldl' fstep = foldlM' (\b a -> return (fstep b a))
385-- | Convert a list of pure values to a 'Stream'
386{-# INLINE_LATE fromList #-}
387fromList :: Monad m => [a] -> Stream m a
388fromList = Stream step
390 {-# INLINE_LATE step #-}
391 step _ (x:xs) = return $ Yield x xs
392 step _ [] = return Stop
394------------------------------------------------------------------------------
396------------------------------------------------------------------------------
398{-# INLINE_NORMAL eqBy #-}
399eqBy :: Monad m => (a -> b -> Bool) -> Stream m a -> Stream m b -> m Bool
400eqBy eq (Stream step1 t1) (Stream step2 t2) = eq_loop0 SPEC t1 t2
402 eq_loop0 !_ s1 s2 = do
403 r <- step1 defState s1
405 Yield x s1' -> eq_loop1 SPEC x s1' s2
406 Skip s1' -> eq_loop0 SPEC s1' s2
409 eq_loop1 !_ x s1 s2 = do
410 r <- step2 defState s2
413 | eq x y -> eq_loop0 SPEC s1 s2'
414 | otherwise -> return False
415 Skip s2' -> eq_loop1 SPEC x s1 s2'
419 r <- step2 defState s2
421 Yield _ _ -> return False
422 Skip s2' -> eq_null s2'
425-- | Compare two streams lexicographically
426{-# INLINE_NORMAL cmpBy #-}
429 => (a -> b -> Ordering) -> Stream m a -> Stream m b -> m Ordering
430cmpBy cmp (Stream step1 t1) (Stream step2 t2) = cmp_loop0 SPEC t1 t2
432 cmp_loop0 !_ s1 s2 = do
433 r <- step1 defState s1
435 Yield x s1' -> cmp_loop1 SPEC x s1' s2
436 Skip s1' -> cmp_loop0 SPEC s1' s2
439 cmp_loop1 !_ x s1 s2 = do
440 r <- step2 defState s2
442 Yield y s2' -> case x `cmp` y of
443 EQ -> cmp_loop0 SPEC s1 s2'
445 Skip s2' -> cmp_loop1 SPEC x s1 s2'
449 r <- step2 defState s2
451 Yield _ _ -> return LT
452 Skip s2' -> cmp_null s2'
455{-# INLINE_NORMAL take #-}
456take :: Monad m => Int -> Stream m a -> Stream m a
457take n (Stream step state) = n `seq` Stream step' (state, 0)
459 {-# INLINE_LATE step' #-}
460 step' gst (st, i) | i < n = do
463 Yield x s -> Yield x (s, i + 1)
464 Skip s -> Skip (s, i)
466 step' _ (_, _) = return Stop
468------------------------------------------------------------------------------
470------------------------------------------------------------------------------
472{-# INLINE_LATE foldOneGroup #-}
478 -> State K.Stream m a
479 -> (State K.Stream m a -> s -> m (Step s a))
482foldOneGroup n (Fold fstep begin done) x gst step state = do
489 -- XXX is it strict enough?
490 go !_ st !acc i | i < n = do
495 go SPEC s acc1 (i + 1)
496 Skip s -> go SPEC s acc i
499 return (res, Nothing)
504-- groupsOf takes 11 sec to write the file from a stream, whereas just
505-- reading in the same file as a stream and folding each element of the stream
506-- using (+) takes just 1.5 sec, so we are still pretty slow (7x slow), there
507-- is scope to make it faster. There is a possibility of better fusion here.
509{-# INLINE_NORMAL groupsOf #-}
516groupsOf n f (Stream step state) =
517 n `seq` Stream stepOuter (Just state)
521 {-# INLINE_LATE stepOuter #-}
522 stepOuter gst (Just st) = do
523 -- XXX shall we use the Natural type instead? Need to check performance
526 -- XXX we can pass the module string from the higher level API
527 error $ "Streamly.Streams.StreamD.Type.groupsOf: the size of "
528 ++ "groups [" ++ show n ++ "] must be a natural number"
530 -- We retrieve the first element of the stream before we start to fold
531 -- a chunk so that we do not return an empty chunk in case the stream
533 res <- step (adaptState gst) st
536 -- XXX how to make sure that stepInner and f get fused
537 -- This problem seems to be similar to the concatMap problem
538 (r, s1) <- foldOneGroup n f x (adaptState gst) step s
540 Skip s -> return $ Skip $ Just s
543 stepOuter _ Nothing = return Stop
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