{-| This module is very closely modeled on Pipes.Prelude, Pipes.Group and Pipes.Parse. It maybe said to give independent expression to the conception of Producer manipulation articulated in the latter two modules. Because we dispense with piping and conduiting, the distinction between all of these modules collapses. The leading type is chosen to permit an api that is as close as possible to that of Data.List and the Prelude. Thecan be used with any rational \"streaming IO\" system. Import qualified thus: > import Streaming > import qualified Streaming.Prelude as S For the examples below, one sometimes needs > import Streaming.Prelude (each, yield, stdoutLn, stdinLn) > import Data.Function ((&)) Other libraries that come up in passing are > import qualified Control.Foldl as L -- cabal install foldl > import qualified Pipes as P > import qualified Pipes.Prelude as P > import qualified System.IO as IO Here are some correspondences between the types employed here and elsewhere: > streaming | pipes | conduit | io-streams > ------------------------------------------------------------------------------------------------------------------- > Stream (Of a) m () | Producer a m () | Source m a | InputStream a > | ListT m a | ConduitM () o m () | Generator r () > ------------------------------------------------------------------------------------------------------------------- > Stream (Of a) m r | Producer a m r | ConduitM () o m r | Generator a r > ------------------------------------------------------------------------------------------------------------------- > Stream (Of a) m (Stream (Of a) m r) | Producer a m (Producer a m r) | > -------------------------------------------------------------------------------------------------------------------- > Stream (Stream (Of a) m) r | FreeT (Producer a m) m r | > -------------------------------------------------------------------------------------------------------------------- > -------------------------------------------------------------------------------------------------------------------- > ByteString m () | Producer ByteString m () | Source m ByteString | InputStream ByteString > -------------------------------------------------------------------------------------------------------------------- > -} {-# LANGUAGE RankNTypes, BangPatterns, DeriveDataTypeable, TypeFamilies, DeriveFoldable, DeriveFunctor, DeriveTraversable #-} module Streaming.Prelude ( -- * Types Of (..) -- * Introducing streams of elements -- $producers , yield , each , unfoldr , stdinLn , readLn , fromHandle , readFile , iterate , repeat , replicate , cycle , repeatM , replicateM , enumFrom , enumFromThen , seconds -- * Consuming streams of elements -- $consumers , stdoutLn , stdoutLn' , mapM_ , print , toHandle , writeFile , effects , drained -- * Stream transformers -- $pipes , map , mapM , chain , maps , sequence , nub , filter , filterM , for , with , delay , intersperse , take , takeWhile -- , takeWhile' , drop , dropWhile , concat -- , elemIndices -- , findIndices , scan , scanM , scanned , read , show , cons , duplicate , store -- * Splitting and inspecting streams of elements , next , uncons , splitAt , split -- , breaks , break , breakWhen , span , group , groupBy -- , groupedBy -- , split -- * Sum and Compose manipulation , distinguish , switch , separate , unseparate , eitherToSum , sumToEither , sumToCompose , composeToSum -- * Folds -- $folds , fold , fold_ , foldM , foldM_ , all , all_ , any , any_ , sum , sum_ , product , product_ , head , head_ , last , last_ , elem , elem_ , length , length_ , toList , toList_ , mconcat , mconcat_ , minimum , minimum_ , maximum , maximum_ , foldrM , foldrT -- , all -- , any -- , and -- , or -- , elem -- , notElem -- , find -- , findIndex -- , head -- , index -- , last -- , length -- , maximum -- , minimum -- , null -- * Zips and unzips , zip , zipWith , zip3 , zipWith3 , unzip -- * Pair manipulation , lazily , strictly , fst' , snd' -- * Interoperation , reread -- * Basic Type , Stream ) where import Streaming.Internal import Control.Monad hiding (filterM, mapM, mapM_, foldM, foldM_, replicateM, sequence) import Data.Data ( Data, Typeable ) import Data.Functor.Identity import Data.Functor.Sum import Control.Monad.Trans import Control.Applicative (Applicative (..)) import Data.Functor (Functor (..), (<$)) import qualified Prelude as Prelude import Data.Foldable (Foldable) import Data.Traversable (Traversable) import qualified Data.Foldable as Foldable import Text.Read (readMaybe) import Prelude hiding (map, mapM, mapM_, filter, drop, dropWhile, take, mconcat, sum, product , iterate, repeat, cycle, replicate, splitAt , takeWhile, enumFrom, enumFromTo, enumFromThen, length , print, zipWith, zip, zipWith3, zip3, unzip, seq, show, read , readLn, sequence, concat, span, break, readFile, writeFile , minimum, maximum, elem, intersperse, all, any, head, last) import qualified GHC.IO.Exception as G import qualified System.IO as IO import Foreign.C.Error (Errno(Errno), ePIPE) import Control.Exception (throwIO, try) import Data.Monoid (Monoid (mappend, mempty)) import Data.String (IsString (..)) import Control.Concurrent (threadDelay) import Data.Time (getCurrentTime, diffUTCTime, picosecondsToDiffTime) import Data.Functor.Classes import Data.Functor.Compose import Control.Monad.Trans.Resource import qualified Data.Set as Set import GHC.Exts ( SpecConstrAnnotation(..) ) data SPEC = SPEC | SPEC2 {-# ANN type SPEC ForceSpecConstr #-} -- | A left-strict pair; the base functor for streams of individual elements. data Of a b = !a :> b deriving (Data, Eq, Foldable, Ord, Read, Show, Traversable, Typeable) infixr 5 :> instance (Monoid a, Monoid b) => Monoid (Of a b) where mempty = mempty :> mempty {-#INLINE mempty #-} mappend (m :> w) (m' :> w') = mappend m m' :> mappend w w' {-#INLINE mappend #-} instance Functor (Of a) where fmap f (a :> x) = a :> f x {-#INLINE fmap #-} a <$ (b :> x) = b :> a {-#INLINE (<$) #-} instance Monoid a => Applicative (Of a) where pure x = mempty :> x {-#INLINE pure #-} m :> f <*> m' :> x = mappend m m' :> f x {-#INLINE (<*>) #-} m :> x *> m' :> y = mappend m m' :> y {-#INLINE (*>) #-} m :> x <* m' :> y = mappend m m' :> x {-#INLINE (<*) #-} instance Monoid a => Monad (Of a) where return x = mempty :> x {-#INLINE return #-} m :> x >> m' :> y = mappend m m' :> y {-#INLINE (>>) #-} m :> x >>= f = let m' :> y = f x in mappend m m' :> y {-#INLINE (>>=) #-} instance (r ~ (), Monad m, f ~ Of Char) => IsString (Stream f m r) where fromString = each instance (Eq a) => Eq1 (Of a) where eq1 = (==) instance (Ord a) => Ord1 (Of a) where compare1 = compare instance (Read a) => Read1 (Of a) where readsPrec1 = readsPrec instance (Show a) => Show1 (Of a) where showsPrec1 = showsPrec {-| Note that 'lazily', 'strictly', 'fst'', and 'mapOf' are all so-called /natural transformations/ on the primitive @Of a@ functor If we write > type f ~~> g = forall x . f x -> g x then we can restate some types as follows: > mapOf :: (a -> b) -> Of a ~~> Of b -- bifunctor lmap > lazily :: Of a ~~> (,) a > Identity . fst' :: Of a ~~> Identity a Manipulation of a @Stream f m r@ by mapping often turns on recognizing natural transformations of @f@, thus @maps@ is far more general the the @map@ of the present module, which can be defined thus: > S.map :: (a -> b) -> Stream (Of a) m r -> Stream (Of b) m r > S.map f = maps (mapOf f) This rests on recognizing that @mapOf@ is a natural transformation; note though that it results in such a transformation as well: > S.map :: (a -> b) -> Stream (Of a) m ~> Stream (Of b) m -} lazily :: Of a b -> (a,b) lazily = \(a:>b) -> (a,b) {-# INLINE lazily #-} strictly :: (a,b) -> Of a b strictly = \(a,b) -> a :> b {-# INLINE strictly #-} fst' :: Of a b -> a fst' (a :> b) = a snd' :: Of a b -> b snd' (a :> b) = b mapOf :: (a -> b) -> Of a r -> Of b r mapOf f (a:> b) = (f a :> b) all :: Monad m => (a -> Bool) -> Stream (Of a) m r -> m (Of Bool r) all thus = loop True where loop b str = case str of Return r -> return (b :> r) Effect m -> m >>= loop b Step (a :> rest) -> if thus a then loop True rest else do r <- effects rest return (False :> r) {-#INLINABLE all #-} all_ :: Monad m => (a -> Bool) -> Stream (Of a) m r -> m Bool all_ thus = loop True where loop b str = case str of Return r -> return b Effect m -> m >>= loop b Step (a :> rest) -> if thus a then loop True rest else return False {-#INLINABLE all_ #-} any :: Monad m => (a -> Bool) -> Stream (Of a) m r -> m (Of Bool r) any thus = loop False where loop b str = case str of Return r -> return (b :> r) Effect m -> m >>= loop b Step (a :> rest) -> if thus a then do r <- effects rest return (True :> r) else loop False rest {-#INLINABLE any #-} any_ :: Monad m => (a -> Bool) -> Stream (Of a) m r -> m Bool any_ thus = loop False where loop b str = case str of Return r -> return b Effect m -> m >>= loop b Step (a :> rest) -> if thus a then return True else loop False rest {-#INLINABLE any_ #-} {-| Break a sequence upon meeting element falls under a predicate, keeping it and the rest of the stream as the return value. >>> rest <- S.print $ S.break even $ each [1,1,2,3] 1 1 >>> S.print rest 2 3 -} break :: Monad m => (a -> Bool) -> Stream (Of a) m r -> Stream (Of a) m (Stream (Of a) m r) break pred = loop where loop str = case str of Return r -> Return (Return r) Effect m -> Effect $ liftM loop m Step (a :> rest) -> if (pred a) then Return (Step (a :> rest)) else Step (a :> loop rest) {-# INLINABLE break #-} {-| Yield elements, using a fold to maintain state, until the accumulated value satifies the supplied predicate. The fold will then be short-circuited and the element that breaks it will be put after the break. This function is easiest to use with 'Control.Foldl.purely' >>> rest <- each [1..10] & L.purely S.breakWhen L.sum (>10) & S.print 1 2 3 4 >>> S.print rest 5 6 7 8 9 10 -} breakWhen :: Monad m => (x -> a -> x) -> x -> (x -> b) -> (b -> Bool) -> Stream (Of a) m r -> Stream (Of a) m (Stream (Of a) m r) breakWhen step begin done pred = loop0 begin where loop0 x stream = case stream of Return r -> return (return r) Effect mn -> Effect $ liftM (loop0 x) mn Step (a :> rest) -> loop a (step x a) rest loop a !x stream = do if pred (done x) then return (yield a >> stream) else case stream of Return r -> yield a >> return (return r) Effect mn -> Effect $ liftM (loop a x) mn Step (a' :> rest) -> do yield a loop a' (step x a') rest {-# INLINABLE breakWhen #-} -- -- Break during periods where the predicate is not satisfied, grouping the periods when it is. -- -- >>> S.print $ mapped S.toList $ S.breaks not $ S.each [False,True,True,False,True,True,False] -- [True,True] -- [True,True] -- >>> S.print $ mapped S.toList $ S.breaks id $ S.each [False,True,True,False,True,True,False] -- [False] -- [False] -- [False] -- -- -} -- breaks -- :: Monad m => -- (a -> Bool) -> Stream (Of a) m r -> Stream (Stream (Of a) m) m r -- breaks thus = loop where -- loop stream = Effect $ do -- e <- next stream -- return $ case e of -- Left r -> Return r -- Right (a, p') -> -- if not (thus a) -- then Step $ fmap loop (yield a >> break thus p') -- else loop p' -- {-#INLINABLE breaks #-} {-| Apply an action to all values, re-yielding each >>> S.product $ S.chain Prelude.print $ S.each [1..5] 1 2 3 4 5 120 :> () -} chain :: Monad m => (a -> m ()) -> Stream (Of a) m r -> Stream (Of a) m r chain f = loop where loop str = case str of Return r -> return r Effect mn -> Effect (liftM loop mn) Step (a :> rest) -> Effect $ do f a return (Step (a :> loop rest)) {-# INLINABLE chain #-} {-| Make a stream of traversable containers into a stream of their separate elements. This is just > concat = for str each >>> S.print $ S.concat (each ["xy","z"]) 'x' 'y' 'z' Note that it also has the effect of 'Data.Maybe.catMaybes', 'Data.Either.rights' 'map snd' and such-like operations. >>> S.print $ S.concat $ S.each [Just 1, Nothing, Just 2] 1 2 >>> S.print $ S.concat $ S.each [Right 1, Left "Error!", Right 2] 1 2 >>> S.print $ S.concat $ S.each [('A',1), ('B',2)] 1 2 -} concat :: (Monad m, Foldable.Foldable f) => Stream (Of (f a)) m r -> Stream (Of a) m r concat str = for str each {-# INLINE concat #-} {-| The natural @cons@ for a @Stream (Of a)@. > cons a stream = yield a >> stream Useful for interoperation: > Data.Text.foldr S.cons (return ()) :: Text -> Stream (Of Char) m () > Lazy.foldrChunks S.cons (return ()) :: Lazy.ByteString -> Stream (Of Strict.ByteString) m () and so on. -} cons :: (Monad m) => a -> Stream (Of a) m r -> Stream (Of a) m r cons a str = Step (a :> str) {-# INLINE cons #-} {- | Cycle repeatedly through the layers of a stream, /ad inf./ This function is functor-general > cycle = forever >>> rest <- S.print $ S.splitAt 3 $ S.cycle (yield 0 >> yield 1) True False True >>> S.print $ S.take 3 rest False True False -} cycle :: (Monad m, Functor f) => Stream f m r -> Stream f m s cycle str = loop where loop = str >> loop {-#INLINABLE cycle #-} {-| A -} delay :: MonadIO m => Double -> Stream (Of a) m r -> Stream (Of a) m r delay seconds = loop where pico = truncate (seconds * 1000000) loop str = do e <- lift $ next str case e of Left r -> Return r Right (a,rest) -> do yield a liftIO $ threadDelay pico loop rest {-#INLINABLE delay #-} -- --------------- -- effects -- --------------- {- | Reduce a stream, performing its actions but ignoring its elements. >>> rest <- S.effects $ S.splitAt 2 $ each [1..5] >>> S.print rest 3 4 5 -} effects :: Monad m => Stream (Of a) m r -> m r effects = loop where loop stream = case stream of Return r -> return r Effect m -> m >>= loop Step (_ :> rest) -> loop rest {-#INLINABLE effects #-} {-| Where a transformer returns a stream, run the effects of the stream, keeping the return value. This is usually used at the type > drained :: Monad m => Stream (Of a) m (Stream (Of b) m r) -> Stream (Of a) m r > drained = join . fmap (lift . effects) Here, for example, we split a stream in two places and throw out the middle segment: >>> rest <- S.print $ S.drained $ S.splitAt 2 $ S.splitAt 5 $ each [1..7] 1 2 >>> S.print rest 6 7 In particular, we can define versions of @take@ and @takeWhile@ which retrieve the return value of the rest of the stream - and which can thus be used with 'maps': > take' n = S.drained . S.splitAt n > takeWhile' thus = S.drained . S.span thus -} drained :: (Monad m, Monad (t m), Functor (t m), MonadTrans t) => t m (Stream (Of a) m r) -> t m r drained = join . fmap (lift . effects) {-#INLINE drained #-} -- --------------- -- drop -- --------------- {-| Ignore the first n elements of a stream, but carry out the actions >>> S.toList $ S.drop 2 $ S.replicateM 5 getLine a b c d e ["c","d","e"] :> () Because it retains the final return value, @drop n@ is a suitable argument for @maps@: >>> S.toList $ concats $ maps (S.drop 4) $ chunksOf 5 $ each [1..20] [5,10,15,20] :> () -} drop :: (Monad m) => Int -> Stream (Of a) m r -> Stream (Of a) m r drop = loop where loop 0 stream = stream loop n stream = case stream of Return r -> Return r Effect ma -> Effect (liftM (loop n) ma) Step (a :> as) -> loop (n-1) as {-# INLINABLE drop #-} -- --------------- -- dropWhile -- --------------- {- | Ignore elements of a stream until a test succeeds, retaining the rest. >>> S.print $ S.dropWhile ((< 5) . length) S.stdinLn one two three "three" four "four" ^CInterrupted. -} dropWhile :: Monad m => (a -> Bool) -> Stream (Of a) m r -> Stream (Of a) m r dropWhile pred = loop where loop stream = case stream of Return r -> Return r Effect ma -> Effect (liftM loop ma) Step (a :> as) -> if pred a then loop as else Step (a :> as) {-# INLINABLE dropWhile #-} -- --------------- -- each -- --------------- {- | Stream the elements of a pure, foldable container. >>> each [1..3] & S.print 1 2 3 >>> S.replicateM 5 getLine & chunksOf 3 & mapped S.toList & S.print s t u ["s","t","u"] v w ["v","w"] -} each :: (Monad m, Foldable.Foldable f) => f a -> Stream (Of a) m () each = Foldable.foldr (\a p -> (Step (a :> p))) (Return ()) {-# INLINABLE each #-} {-| Exhaust a stream remembering only whether @a@ was an element. -} elem :: (Monad m, Eq a) => a -> Stream (Of a) m r -> m (Of Bool r) elem a = fold op False id where op True _ = True op False a' | a == a' = True op _ _ = False {-#INLINABLE elem #-} elem_ :: (Monad m, Eq a) => a -> Stream (Of a) m r -> m Bool elem_ a = fold_ op False id where op True _ = True op False a' | a == a' = True op _ _ = False {-#INLINABLE elem_ #-} -- ----- -- enumFrom -- ------ {-| An infinite stream of enumerable values, starting from a given value. It is the same as `S.iterate succ`. Because their return type is polymorphic, @enumFrom@ and @enumFromThen@ (and @iterate@ are useful for example with @zip@ and @zipWith@, which require the same return type in the zipped streams. With @each [1..]@ the following bit of connect-and-resume would be impossible: >>> rest <- S.print $ S.zip (S.enumFrom 'a') $ S.splitAt 3 $ S.enumFrom 1 ('a',1) ('b',2) ('c',3) >>> S.print $ S.take 3 rest 4 5 6 -} enumFrom :: (Monad m, Enum n) => n -> Stream (Of n) m r enumFrom = loop where loop !n = Step (n :> loop (succ n)) {-# INLINABLE enumFrom #-} {-| An infinite sequence of enumerable values at a fixed distance, determined by the first and second values. See the discussion of 'Streaming.enumFrom' >>> S.print $ S.take 3 $ S.enumFromThen 100 200 100 200 300 -} enumFromThen:: (Monad m, Enum a) => a -> a -> Stream (Of a) m r enumFromThen first second = Streaming.Prelude.map toEnum (loop _first) where _first = fromEnum first _second = fromEnum second diff = _second - _first loop !s = Step (s :> loop (s+diff)) {-# INLINABLE enumFromThen #-} -- --------------- -- filter -- --------------- -- | Skip elements of a stream that fail a predicate filter :: (Monad m) => (a -> Bool) -> Stream (Of a) m r -> Stream (Of a) m r filter pred = loop where loop str = case str of Return r -> Return r Effect m -> Effect (liftM loop m) Step (a :> as) -> if pred a then Step (a :> loop as) else loop as {-# INLINABLE filter #-} -- --------------- -- filterM -- --------------- -- | Skip elements of a stream that fail a monadic test filterM :: (Monad m) => (a -> m Bool) -> Stream (Of a) m r -> Stream (Of a) m r filterM pred = loop where loop str = case str of Return r -> Return r Effect m -> Effect $ liftM loop m Step (a :> as) -> Effect $ do bool <- pred a if bool then return $ Step (a :> loop as) else return $ loop as {-# INLINABLE filterM #-} -- --------------- -- fold -- --------------- {- $folds Use these to fold the elements of a 'Stream'. >>> S.fold_ (+) 0 id $ S.each [1..0] 50 The general folds 'fold', fold_', 'foldM' and 'foldM_' are arranged for use with 'Control.Foldl' >>> L.purely fold_ L.sum $ each [1..10] 55 >>> L.purely fold_ (liftA3 (,,) L.sum L.product L.list) $ each [1..10] (55,3628800,[1,2,3,4,5,6,7,8,9,10]) All functions marked with an underscore omit (e.g. @fold_@, @sum_@) the stream's return value in a left-strict pair. They are good for exiting streaming completely, but when you are, e.g. @mapped@-ing over a @Stream (Stream (Of a) m) m r@, which is to be compared with @[[a]]@. Specializing, we have e.g. > mapped sum :: (Monad m, Num n) => Stream (Stream (Of Int)) IO () -> Stream (Of n) IO () > mapped (fold mappend mempty id) :: Stream (Stream (Of Int)) IO () -> Stream (Of Int) IO () >>> S.print $ mapped S.sum $ chunksOf 3 $ S.each [1..10] 6 15 24 10 >>> let three_folds = L.purely S.fold (liftA3 (,,) L.sum L.product L.list) >>> S.print $ mapped three_folds $ chunksOf 3 (each [1..10]) (6,6,[1,2,3]) (15,120,[4,5,6]) (24,504,[7,8,9]) (10,10,[10]) -} {-| Strict fold of a 'Stream' of elements, preserving only the result of the fold, not the return value of the stream. The third parameter will often be 'id' where a fold is written by hand: >>> S.fold_ (+) 0 id $ each [1..10] 55 It can be used to replace a standard Haskell type with one more suited to writing a strict accumulation function. It is also crucial to the Applicative instance for @Control.Foldl.Fold@ > Control.Foldl.purely fold :: Monad m => Fold a b -> Stream (Of a) m () -> m b -} fold_ :: Monad m => (x -> a -> x) -> x -> (x -> b) -> Stream (Of a) m r -> m b fold_ step begin done = liftM (\(a:>rest) -> a) . fold step begin done {-#INLINE fold_ #-} {-| Strict fold of a 'Stream' of elements that preserves the return value. The third parameter will often be 'id' where a fold is written by hand: >>> S.fold (+) 0 id $ each [1..10] 55 :> () >>> S.fold (*) 1 id $ S.fold (+) 0 id $ S.duplicate $ each [1..10] 3628800 :> (55 :> ()) It can be used to replace a standard Haskell type with one more suited to writing a strict accumulation function. It is also crucial to the Applicative instance for @Control.Foldl.Fold@ We can apply such a fold @purely@ > Control.Foldl.purely S.fold :: Monad m => Fold a b -> Stream (Of a) m r -> m (Of b r) Thus, specializing a bit: > L.purely S.fold L.sum :: Stream (Of Int) Int r -> m (Of Int r) > maps (L.purely S.fold L.sum) :: Stream (Stream (Of Int)) IO r -> Stream (Of Int) IO r Here we use the Applicative instance for @Control.Foldl.Fold@ to stream three-item segments of a stream together with their sums and products. >>> S.print $ mapped (L.purely S.fold (liftA3 (,,) L.list L.product L.sum)) $ chunksOf 3 $ each [1..10] ([1,2,3],6,6) ([4,5,6],120,15) ([7,8,9],504,24) ([10],10,10) -} fold :: Monad m => (x -> a -> x) -> x -> (x -> b) -> Stream (Of a) m r -> m (Of b r) fold step begin done str = fold_loop str begin where fold_loop stream !x = case stream of Return r -> return (done x :> r) Effect m -> m >>= \str' -> fold_loop str' x Step (a :> rest) -> fold_loop rest $! step x a {-# INLINABLE fold #-} {-| Strict, monadic fold of the elements of a 'Stream (Of a)' > Control.Foldl.impurely foldM :: Monad m => FoldM a b -> Stream (Of a) m () -> m b -} foldM_ :: Monad m => (x -> a -> m x) -> m x -> (x -> m b) -> Stream (Of a) m r -> m b foldM_ step begin done = liftM (\(a:>rest) -> a) . foldM step begin done {-#INLINE foldM_ #-} {-| Strict, monadic fold of the elements of a 'Stream (Of a)' > Control.Foldl.impurely foldM' :: Monad m => FoldM a b -> Stream (Of a) m r -> m (b, r) Thus to accumulate the elements of a stream as a vector, together with a random element we might write: >>> L.impurely S.foldM (liftA2 (,) L.vector L.random) $ each [1..10::Int] :: IO (Of (U.Vector Int,Maybe Int) ()) ([1,2,3,4,5,6,7,8,9,10],Just 9) :> () -} foldM :: Monad m => (x -> a -> m x) -> m x -> (x -> m b) -> Stream (Of a) m r ->m (Of b r) foldM step begin done str = do x0 <- begin loop str x0 where loop stream !x = case stream of Return r -> done x >>= \b -> return (b :> r) Effect m -> m >>= \s -> loop s x Step (a :> rest) -> do x' <- step x a loop rest x' {-# INLINABLE foldM #-} {-| A natural right fold for consuming a stream of elements. See also the more general 'iterTM' in the 'Streaming' module and the still more general 'destroy' > foldrT (\a p -> Pipes.yield a >> p) :: Monad m => Stream (Of a) m r -> Producer a m r > foldrT (\a p -> Conduit.yield a >> p) :: Monad m => Stream (Of a) m r -> Conduit a m r -} foldrT :: (Monad m, MonadTrans t, Monad (t m)) => (a -> t m r -> t m r) -> Stream (Of a) m r -> t m r foldrT step = loop where loop stream = case stream of Return r -> return r Effect m -> lift m >>= loop Step (a :> as) -> step a (loop as) {-# INLINABLE foldrT #-} {-| A natural right fold for consuming a stream of elements. See also the more general 'iterT' in the 'Streaming' module and the still more general 'destroy' -} foldrM :: Monad m => (a -> m r -> m r) -> Stream (Of a) m r -> m r foldrM step = loop where loop stream = case stream of Return r -> return r Effect m -> m >>= loop Step (a :> as) -> step a (loop as) {-# INLINABLE foldrM #-} -- --------------- -- for -- --------------- -- | @for@ replaces each element of a stream with an associated stream. Note that the -- associated stream may layer any functor. for :: (Monad m, Functor f) => Stream (Of a) m r -> (a -> Stream f m x) -> Stream f m r for str0 act = loop str0 where loop str = case str of Return r -> Return r Effect m -> Effect $ liftM loop m Step (a :> rest) -> do act a loop rest {-# INLINABLE for #-} -- -| Group layers of any functor by comparisons on a preliminary annotation -- groupedBy -- :: (Monad m, Functor f) => -- (a -> a -> Bool) -- -> Stream (Compose (Of a) f) m r -- -> Stream (Stream (Compose (Of a) f) m) m r -- groupedBy equals = loop where -- loop stream = Effect $ do -- e <- inspect stream -- return $ case e of -- Left r -> Return r -- Right s@(Compose (a :> p')) -> Step $ -- fmap loop (Step $ Compose (a :> fmap (span' (equals a)) p')) -- span' :: (Monad m, Functor f) => (a -> Bool) -> Stream (Compose (Of a) f) m r -- -> Stream (Compose (Of a) f) m (Stream (Compose (Of a) f) m r) -- span' pred = loop where -- loop str = case str of -- Return r -> Return (Return r) -- Effect m -> Effect $ liftM loop m -- Step s@(Compose (a :> rest)) -> case pred a of -- True -> Step (Compose (a :> fmap loop rest)) -- False -> Return (Step s) -- {-# INLINABLE groupedBy #-} {-| Group elements of a stream in accordance with the supplied comparison. >>> S.print $ mapped S.toList $ S.groupBy (>=) $ each [1,2,3,1,2,3,4,3,2,4,5,6,7,6,5] [1] [2] [3,1,2,3] [4,3,2,4] [5] [6] [7,6,5] -} groupBy :: Monad m => (a -> a -> Bool) -> Stream (Of a) m r -> Stream (Stream (Of a) m) m r groupBy equals = loop where loop stream = Effect $ do e <- next stream return $ case e of Left r -> Return r Right (a, p') -> Step $ fmap loop (yield a >> span (equals a) p') {-# INLINABLE groupBy #-} {-| Group successive equal items together >>> S.toList $ mapped S.toList $ S.group $ each "baaaaad" ["b","aaaaa","d"] :> () >>> S.toList $ concats $ maps (S.drained . S.splitAt 1) $ S.group $ each "baaaaaaad" "bad" :> () -} group :: (Monad m, Eq a) => Stream (Of a) m r -> Stream (Stream (Of a) m) m r group = groupBy (==) {-#INLINE group #-} head :: Monad m => Stream (Of a) m r -> m (Of (Maybe a) r) head str = case str of Return r -> return (Nothing :> r) Effect m -> m >>= head Step (a :> rest) -> effects rest >>= \r -> return (Just a :> r) {-#INLINABLE head #-} head_ :: Monad m => Stream (Of a) m r -> m (Maybe a) head_ str = case str of Return r -> return Nothing Effect m -> m >>= head_ Step (a :> rest) -> effects rest >> return (Just a) {-#INLINABLE head_ #-} intersperse :: Monad m => a -> Stream (Of a) m r -> Stream (Of a) m r intersperse x str = case str of Return r -> Return r Effect m -> Effect (liftM (intersperse x) m) Step (a :> rest) -> loop a rest where loop !a str = case str of Return r -> Step (a :> Return r) Effect m -> Effect (liftM (loop a) m) Step (b :> rest) -> Step (a :> Step (x :> loop b rest)) {-#INLINABLE intersperse #-} -- --------------- -- iterate -- --------------- {-| Iterate a pure function from a seed value, streaming the results forever -} iterate :: (a -> a) -> a -> Stream (Of a) m r iterate f = loop where loop a' = Step (a' :> loop (f a')) {-# INLINABLE iterate #-} -- | Iterate a monadic function from a seed value, streaming the results forever iterateM :: Monad m => (a -> m a) -> m a -> Stream (Of a) m r iterateM f = loop where loop ma = Effect $ do a <- ma return (Step (a :> loop (f a))) {-# INLINABLE iterateM #-} last :: Monad m => Stream (Of a) m r -> m (Of (Maybe a) r) last = loop Nothing_ where loop m str = case str of Return r -> case m of Nothing_ -> return (Nothing :> r) Just_ a -> return (Just a :> r) Effect m -> m >>= last Step (a :> rest) -> loop (Just_ a) rest {-#INLINABLE last #-} last_ :: Monad m => Stream (Of a) m r -> m (Maybe a) last_ = loop Nothing_ where loop m str = case str of Return r -> case m of Nothing_ -> return Nothing Just_ a -> return (Just a) Effect m -> m >>= last_ Step (a :> rest) -> loop (Just_ a) rest {-#INLINABLE last_ #-} -- --------------- -- length -- --------------- {-| Run a stream, remembering only its length: >>> S.length $ S.each [1..10] 10 -} length_ :: Monad m => Stream (Of a) m r -> m Int length_ = fold_ (\n _ -> n + 1) 0 id {-#INLINE length_#-} {-| Run a stream, keeping its length and its return value. >>> S.print $ mapped S.length $ chunksOf 3 $ S.each [1..10] 3 3 3 1 -} length :: Monad m => Stream (Of a) m r -> m (Of Int r) length = fold (\n _ -> n + 1) 0 id {-#INLINE length #-} -- --------------- -- map -- --------------- {-| Standard map on the elements of a stream. >>> S.stdoutLn $ S.map reverse $ each (words "alpha beta") ahpla ateb -} map :: Monad m => (a -> b) -> Stream (Of a) m r -> Stream (Of b) m r map f = maps (\(x :> rest) -> f x :> rest) -- loop where -- loop stream = case stream of -- Return r -> Return r -- Effect m -> Effect (liftM loop m) -- Step (a :> as) -> Step (f a :> loop as) {-# INLINABLE map #-} {-| Replace each element of a stream with the result of a monadic action >>> S.print $ S.mapM readIORef $ S.chain (\ior -> modifyIORef ior (*100)) $ S.mapM newIORef $ each [1..6] 100 200 300 400 500 600 -} mapM :: Monad m => (a -> m b) -> Stream (Of a) m r -> Stream (Of b) m r mapM f = loop where loop str = case str of Return r -> Return r Effect m -> Effect (liftM loop m) Step (a :> as) -> Effect $ do a' <- f a return (Step (a' :> loop as) ) {-# INLINABLE mapM #-} {-| Reduce a stream to its return value with a monadic action. >>> S.mapM_ Prelude.print $ each [1..5] 1 2 3 4 5 >>> rest <- S.mapM_ Prelude.print $ S.splitAt 3 $ each [1..10] 1 2 3 >>> S.sum rest 49 :> () -} mapM_ :: Monad m => (a -> m b) -> Stream (Of a) m r -> m r mapM_ f = loop where loop str = case str of Return r -> return r Effect m -> m >>= loop Step (a :> as) -> do f a loop as {-# INLINABLE mapM_ #-} {-| Fold streamed items into their monoidal sum >>> S.mconcat $ S.take 2 $ S.map (Data.Monoid.Last . Just) (S.stdinLn) first last Last {getLast = Just "last"} :> () -} mconcat :: (Monad m, Monoid w) => Stream (Of w) m r -> m (Of w r) mconcat = fold mappend mempty id {-#INLINE mconcat #-} data Maybe_ a = Just_ !a | Nothing_ mconcat_ :: (Monad m, Monoid w) => Stream (Of w) m r -> m w mconcat_ = fold_ mappend mempty id minimum :: (Monad m, Ord a) => Stream (Of a) m r -> m (Of (Maybe a) r) minimum = fold (\m a -> case m of Nothing_ -> Just_ a ; Just_ a' -> Just_ (min a a')) Nothing_ (\m -> case m of Nothing_ -> Nothing; Just_ r -> Just r) {-#INLINE minimum #-} minimum_ :: (Monad m, Ord a) => Stream (Of a) m r -> m (Maybe a) minimum_ = fold_ (\m a -> case m of Nothing_ -> Just_ a ; Just_ a' -> Just_ (min a a')) Nothing_ (\m -> case m of Nothing_ -> Nothing; Just_ r -> Just r) {-#INLINE minimum_ #-} maximum :: (Monad m, Ord a) => Stream (Of a) m r -> m (Of (Maybe a) r) maximum = fold (\m a -> case m of Nothing_ -> Just_ a ; Just_ a' -> Just_ (max a a')) Nothing_ (\m -> case m of Nothing_ -> Nothing; Just_ r -> Just r) {-#INLINE maximum #-} maximum_ :: (Monad m, Ord a) => Stream (Of a) m r -> m (Maybe a) maximum_ = fold_ (\m a -> case m of Nothing_ -> Just_ a ; Just_ a' -> Just_ (max a a')) Nothing_ (\m -> case m of Nothing_ -> Nothing; Just_ r -> Just r) {-#INLINE maximum_ #-} {-| The standard way of inspecting the first item in a stream of elements, if the stream is still \'running\'. The @Right@ case contains a Haskell pair, where the more general @inspect@ would return a left-strict pair. There is no reason to prefer @inspect@ since, if the @Right@ case is exposed, the first element in the pair will have been evaluated to whnf. > next :: Monad m => Stream (Of a) m r -> m (Either r (a, Stream (Of a) m r)) > inspect :: Monad m => Stream (Of a) m r -> m (Either r (Of a (Stream (Of a) m r))) Interoperate with @pipes@ producers thus: > Pipes.unfoldr Stream.next :: Stream (Of a) m r -> Producer a m r > Stream.unfoldr Pipes.next :: Producer a m r -> Stream (Of a) m r Similarly: > IOStreams.unfoldM (liftM (either (const Nothing) Just) . next) :: Stream (Of a) IO b -> IO (InputStream a) > Conduit.unfoldM (liftM (either (const Nothing) Just) . next) :: Stream (Of a) m r -> Source a m r But see 'uncons', which is better fitted to these @unfoldM@s -} next :: Monad m => Stream (Of a) m r -> m (Either r (a, Stream (Of a) m r)) next = loop where loop stream = case stream of Return r -> return (Left r) Effect m -> m >>= loop Step (a :> rest) -> return (Right (a,rest)) {-# INLINABLE next #-} {-| Remove repeated elements from a Stream. 'nub' of course accumulates a 'Data.Set.Set' of elements that have already been seen and should thus be used with care. >>> S.toList_ $ S.nub $ S.take 5 S.readLn :: IO ([Int]) 1 2 3 1 2 [1,2,3] -} nub :: (Monad m, Ord a) => Stream (Of a) m r -> Stream (Of a) m r nub = loop Set.empty where loop !set stream = case stream of Return r -> Return r Effect m -> Effect (liftM (loop set) m) Step (a :> rest) -> if Set.member a set then loop set rest else Step (a :> loop (Set.insert a set) rest) -- | Fold a 'Stream' of numbers into their product product_ :: (Monad m, Num a) => Stream (Of a) m () -> m a product_ = fold_ (*) 1 id {-# INLINE product_ #-} {-| Fold a 'Stream' of numbers into their product with the return value > maps' product' :: Stream (Stream (Of Int)) m r -> Stream (Of Int) m r -} product :: (Monad m, Num a) => Stream (Of a) m r -> m (Of a r) product = fold (*) 1 id {-# INLINE product #-} -- --------------- -- read -- --------------- {- | Make a stream of strings into a stream of parsed values, skipping bad cases >>> S.sum_ $ S.read $ S.takeWhile (/= "total") S.stdinLn :: IO Int 1000 2000 total 3000 -} read :: (Monad m, Read a) => Stream (Of String) m r -> Stream (Of a) m r read stream = for stream $ \str -> case readMaybe str of Nothing -> return () Just r -> yield r {-# INLINE read #-} -- --------------- -- repeat -- --------------- {-| Repeat an element /ad inf./ . >>> S.print $ S.take 3 $ S.repeat 1 1 1 1 -} repeat :: a -> Stream (Of a) m r repeat a = loop where loop = Step (a :> loop) {-# INLINE repeat #-} {-| Repeat a monadic action /ad inf./, streaming its results. >>> S.toList $ S.take 2 $ repeatM getLine one two ["one","two"] -} repeatM :: Monad m => m a -> Stream (Of a) m r repeatM ma = loop where loop = do a <- lift ma yield a loop {-# INLINABLE repeatM #-} -- --------------- -- replicate -- --------------- -- | Repeat an element several times replicate :: Monad m => Int -> a -> Stream (Of a) m () replicate n a = loop n where loop 0 = Return () loop m = Step (a :> loop (m-1)) {-# INLINABLE replicate #-} {-| Repeat an action several times, streaming the results. >>> S.print $ S.replicateM 2 getCurrentTime 2015-08-18 00:57:36.124508 UTC 2015-08-18 00:57:36.124785 UTC -} replicateM :: Monad m => Int -> m a -> Stream (Of a) m () replicateM n ma = loop n where loop 0 = Return () loop n = Effect $ do a <- ma return (Step $ a :> loop (n-1)) {-# INLINABLE replicateM #-} {-| Read an @IORef (Maybe a)@ or a similar device until it reads @Nothing@. @reread@ provides convenient exit from the @io-streams@ library > reread readIORef :: IORef (Maybe a) -> Stream (Of a) IO () > reread Streams.read :: System.IO.Streams.InputStream a -> Stream (Of a) IO () -} reread :: Monad m => (s -> m (Maybe a)) -> s -> Stream (Of a) m () reread step s = loop where loop = Effect $ do m <- step s case m of Nothing -> return (Return ()) Just a -> return (Step (a :> loop)) {-# INLINABLE reread #-} {-| Strict left scan, streaming, e.g. successive partial results. >>> S.print $ S.scan (++) "" id $ each (words "a b c d") "" "a" "ab" "abc" "abcd" 'scan' is fitted for use with @Control.Foldl@, thus: >>> S.print $ L.purely S.scan L.list $ each [3..5] [] [3] [3,4] [3,4,5] -} scan :: Monad m => (x -> a -> x) -> x -> (x -> b) -> Stream (Of a) m r -> Stream (Of b) m r scan step begin done = loop begin where loop !x stream = Step $ done x :> case stream of Return r -> Return r Effect m -> Effect $ liftM (loop x) m Step (a :> rest) -> loop (step x a) rest {-# INLINABLE scan #-} {-| Strict left scan, accepting a monadic function. It can be used with 'FoldM's from @Control.Foldl@ using 'impurely'. Here we yield a succession of vectors each recording >>> let v = L.impurely scanM L.vector $ each [1..4::Int] :: Stream (Of (U.Vector Int)) IO () >>> S.print v fromList [] fromList [1] fromList [1,2] fromList [1,2,3] fromList [1,2,3,4] -} scanM :: Monad m => (x -> a -> m x) -> m x -> (x -> m b) -> Stream (Of a) m r -> Stream (Of b) m r scanM step begin done str = do x <- lift begin loop x str where loop !x stream = do b <- lift (done x) yield b case stream of Return r -> Return r Effect m -> Effect (do stream' <- m return (loop x stream') ) Step (a :> rest) -> Effect (do x' <- step x a return (loop x' rest) ) {-# INLINABLE scanM #-} {- Label each element in a stream with a value accumulated according to a fold. >>> S.print $ S.scanned (*) 1 id $ S.each [100,200,300] (100,100) (200,20000) (300,6000000) >>> S.print $ L.purely S.scanned L.product $ S.each [100,200,300] (100,100) (200,20000) (300,6000000) -} data Maybe' a = Just' a | Nothing' scanned :: Monad m => (x -> a -> x) -> x -> (x -> b) -> Stream (Of a) m r -> Stream (Of (a,b)) m r scanned step begin done = loop Nothing' begin where loop !m !x stream = do case stream of Return r -> return r Effect mn -> Effect $ liftM (loop m x) mn Step (a :> rest) -> do case m of Nothing' -> do let !acc = step x a yield (a, done acc) loop (Just' a) acc rest Just' _ -> do let !acc = done (step x a) yield (a, acc) loop (Just' a) (step x a) rest {-# INLINABLE scanned #-} {-| Streams the number of seconds from the beginning of action Thus, to mark times of user input we might write something like: >>> S.toList $ S.take 3 $ S.zip S.seconds S.stdinLn a b c [(0.0,"a"),(1.088711,"b"),(3.7289649999999996,"c")] :> () To restrict user input to some number of seconds, we might write: >>> S.toList $ S.zipWith (flip const) (S.takeWhile (< 5) S.seconds) S.stdinLn one two three four five ["one","two","three","four","five"] :> () -} seconds :: Stream (Of Double) IO r seconds = do e <- lift $ next preseconds case e of Left r -> return r Right (t, rest) -> do yield 0 map (subtract t) rest where preseconds :: Stream (Of Double) IO r preseconds = do utc <- liftIO getCurrentTime map ((/1000000000) . nice utc) (repeatM getCurrentTime) where nice u u' = fromIntegral $ truncate (1000000000 * diffUTCTime u' u) -- --------------- -- sequence -- --------------- {-| Like the 'Data.List.sequence' but streaming. The result type is a stream of a\'s, /but is not accumulated/; the effects of the elements of the original stream are interleaved in the resulting stream. Compare: > sequence :: Monad m => [m a] -> m [a] > sequence :: Monad m => Stream (Of (m a)) m r -> Stream (Of a) m r This obeys the rule -} sequence :: Monad m => Stream (Of (m a)) m r -> Stream (Of a) m r sequence = loop where loop stream = case stream of Return r -> Return r Effect m -> Effect $ liftM loop m Step (ma :> rest) -> Effect $ do a <- ma return (Step (a :> loop rest)) {-# INLINABLE sequence #-} -- --------------- -- show -- --------------- show :: (Monad m, Show a) => Stream (Of a) m r -> Stream (Of String) m r show = map Prelude.show {-# INLINE show #-} -- --------------- -- sum -- --------------- -- | Fold a 'Stream' of numbers into their sum sum_ :: (Monad m, Num a) => Stream (Of a) m () -> m a sum_ = fold_ (+) 0 id {-# INLINE sum_ #-} {-| Fold a 'Stream' of numbers into their sum with the return value > mapped S.sum :: Stream (Stream (Of Int)) m r -> Stream (Of Int) m r >>> S.sum $ each [1..10] 55 :> () >>> (n :> rest) <- S.sum $ S.splitAt 3 $ each [1..10] >>> print n 6 >>> (m :> rest') <- S.sum $ S.splitAt 3 rest >>> print m 15 >>> S.print rest' 7 8 9 -} sum :: (Monad m, Num a) => Stream (Of a) m r -> m (Of a r) sum = fold (+) 0 id {-# INLINABLE sum #-} -- --------------- -- span -- --------------- -- | Stream elements until one fails the condition, return the rest. span :: Monad m => (a -> Bool) -> Stream (Of a) m r -> Stream (Of a) m (Stream (Of a) m r) span pred = loop where loop str = case str of Return r -> Return (Return r) Effect m -> Effect $ liftM loop m Step (a :> rest) -> if pred a then Step (a :> loop rest) else Return (Step (a :> rest)) {-# INLINABLE span #-} {-| Split a stream of elements wherever a given element arises. The action is like that of 'Prelude.words'. >>> S.stdoutLn $ mapped S.toList $ S.split ' ' $ each "hello world " hello world -} split :: (Eq a, Monad m) => a -> Stream (Of a) m r -> Stream (Stream (Of a) m) m r split t = loop where loop stream = case stream of Return r -> Return r Effect m -> Effect (liftM loop m) Step (a :> rest) -> if a /= t then Step (fmap loop (yield a >> break (== t) rest)) else loop rest {-#INLINABLE split #-} {-| Split a succession of layers after some number, returning a streaming or -- effectful pair. This function is the same as the 'splitsAt' exported by the -- @Streaming@ module, but since this module is imported qualified, it can -- usurp a Prelude name. It specializes to: > splitAt :: (Monad m, Functor f) => Int -> Stream (Of a) m r -> Stream (Of a) m (Stream (Of a) m r) -} splitAt :: (Monad m, Functor f) => Int -> Stream f m r -> Stream f m (Stream f m r) splitAt = splitsAt {-# INLINE splitAt #-} -- --------------- -- take -- --------------- {-| End a stream after n elements; the original return value is thus lost. 'splitAt' preserves this information. Note that, like @splitAt@, this function is functor-general, so that, for example, you can @take@ not just a number of items from a stream of elements, but a number of substreams and the like. >>> S.toList $ S.take 3 $ each "pennsylvania" "pen" :> () >>> total <- S.sum_ $ S.take 3 S.readLn :: IO Int 1 10 100 >>> print total 111 -} take :: (Monad m, Functor f) => Int -> Stream f m r -> Stream f m () take = loop where loop 0 p = return () loop n p = case p of Step fas -> Step (fmap (loop (n-1)) fas) Effect m -> Effect (liftM (loop n) m) Return r -> Return () {-# INLINABLE take #-} -- --------------- -- takeWhile -- --------------- {-| End stream when an element fails a condition; the original return value is lost. By contrast 'span' preserves this information. -} takeWhile :: Monad m => (a -> Bool) -> Stream (Of a) m r -> Stream (Of a) m () takeWhile pred = loop where loop str = case str of Step (a :> as) -> when (pred a) (Step (a :> loop as)) Effect m -> Effect (liftM loop m) Return r -> Return () {-# INLINE takeWhile #-} {-| Convert an effectful 'Stream (Of a)' into a list of @as@ Note: Needless to say, this function does not stream properly. It is basically the same as 'mapM' which, like 'replicateM', 'sequence' and similar operations on traversable containers is a leading cause of space leaks. -} toList_ :: Monad m => Stream (Of a) m () -> m [a] toList_ = fold_ (\diff a ls -> diff (a: ls)) id (\diff -> diff []) {-# INLINE toList_ #-} {-| Convert an effectful 'Stream' into a list alongside the return value > mapped toListM :: Stream (Stream (Of a)) m r -> Stream (Of [a]) m -} toList :: Monad m => Stream (Of a) m r -> m (Of [a] r) toList = fold (\diff a ls -> diff (a: ls)) id (\diff -> diff []) {-# INLINE toList #-} {-| Inspect the first item in a stream of elements, without a return value. @uncons@ provides convenient exit into another streaming type: > IOStreams.unfoldM uncons :: Stream (Of a) IO b -> IO (InputStream a) > Conduit.unfoldM uncons :: Stream (Of a) m r -> Conduit.Source m a -} uncons :: Monad m => Stream (Of a) m () -> m (Maybe (a, Stream (Of a) m ())) uncons = loop where loop stream = case stream of Return () -> return Nothing Effect m -> m >>= loop Step (a :> rest) -> return (Just (a,rest)) {-# INLINABLE uncons #-} {-| Build a @Stream@ by unfolding steps starting from a seed. The seed can of course be anything, but this is one natural way to consume a @pipes@ 'Pipes.Producer'. Consider: >>> S.stdoutLn $ S.take 2 $ S.unfoldr P.next P.stdinLn hello hello goodbye goodbye >>> S.stdoutLn $ S.unfoldr P.next (P.stdinLn P.>-> P.take 2) hello hello goodbye goodbye >>> S.effects $ S.unfoldr P.next (P.stdinLn P.>-> P.take 2 P.>-> P.stdoutLn) hello hello goodbye goodbye -} unfoldr :: Monad m => (s -> m (Either r (a, s))) -> s -> Stream (Of a) m r unfoldr step = loop where loop s0 = Effect (do e <- step s0 case e of Left r -> return (Return r) Right (a,s) -> return (Step (a :> loop s))) {-# INLINABLE unfoldr #-} -- --------------------------------------- -- with -- --------------------------------------- {-| Replace each element in a stream of individual Haskell values (a @Stream (Of a) m r@) with an associated 'functorial' step. > for str f = concats (with str f) > with str f = for str (yields . f) > with str f = maps (\(a:>r) -> r <$ f a) str >>> with (each [1..3]) (yield . show) & intercalates (yield "--") & S.stdoutLn 1 -- 2 -- 3 -} with :: (Monad m, Functor f) => Stream (Of a) m r -> (a -> f x) -> Stream f m r with s f = loop s where loop str = case str of Return r -> Return r Effect m -> Effect (liftM loop m) Step (a :> rest) -> Step (loop rest <$ f a) {-#INLINABLE with #-} -- --------------------------------------- -- yield -- --------------------------------------- {-| A singleton stream >>> stdoutLn $ yield "hello" hello >>> S.sum $ do {yield 1; yield 2} 3 >>> let prompt = putStrLn "Enter a number:" >>> let number = lift (prompt >> readLn) >>= yield :: Stream (Of Int) IO () >>> S.toList $ do {number; number; number} Enter a number: 1 Enter a number: 2 Enter a number: 3 [1,2,3] :> () -} yield :: Monad m => a -> Stream (Of a) m () yield a = Step (a :> Return ()) {-# INLINE yield #-} -- | Zip two 'Streams's zip :: Monad m => (Stream (Of a) m r) -> (Stream (Of b) m r) -> (Stream (Of (a,b)) m r) zip = zipWith (,) {-# INLINE zip #-} -- | Zip two 'Streams's using the provided combining function zipWith :: Monad m => (a -> b -> c) -> (Stream (Of a) m r) -> (Stream (Of b) m r) -> (Stream (Of c) m r) zipWith f = loop where loop str0 str1 = case str0 of Return r -> Return r Effect m -> Effect $ liftM (\str -> loop str str1) m Step (a :> rest0) -> case str1 of Return r -> Return r Effect m -> Effect $ liftM (loop str0) m Step (b :> rest1) -> Step (f a b :>loop rest0 rest1) {-# INLINABLE zipWith #-} -- | Zip three 'Stream's with a combining function zipWith3 :: Monad m => (a -> b -> c -> d) -> Stream (Of a) m r -> Stream (Of b) m r -> Stream (Of c) m r -> Stream (Of d) m r zipWith3 op = loop where loop str0 str1 str2 = do e0 <- lift (next str0) case e0 of Left r0 -> return r0 Right (a0,rest0) -> do e1 <- lift (next str1) case e1 of Left r1 -> return r1 Right (a1,rest1) -> do e2 <- lift (next str2) case e2 of Left r2 -> return r2 Right (a2,rest2) -> do yield (op a0 a1 a2) loop rest0 rest1 rest2 {-# INLINABLE zipWith3 #-} -- | Zip three streams together zip3 :: Monad m => (Stream (Of a) m r) -> (Stream (Of b) m r) -> (Stream (Of c) m r) -> (Stream (Of (a,b,c)) m r) zip3 = zipWith3 (,,) {-# INLINABLE zip3 #-} -- -------------- -- IO fripperies -- -------------- {-| View standard input as a 'Stream (Of String) m r'. 'stdoutLn', by contrast, renders a 'Stream (Of String) m r' to standard output. The names follow @Pipes.Prelude@ >>> stdoutLn stdinLn hello hello world world ^CInterrupted. >>> stdoutLn $ S.map reverse stdinLn hello olleh world dlrow ^CInterrupted. -} stdinLn :: MonadIO m => Stream (Of String) m () stdinLn = fromHandle IO.stdin {-# INLINABLE stdinLn #-} {-| Read values from 'IO.stdin', ignoring failed parses >>> S.sum_ $ S.take 2 S.readLn :: IO Int 10 12 22 >>> S.toList $ S.take 3 (S.readLn :: Stream (Of Int) IO ()) 1 2 1@#$%^&*\ 3 [1,2,3] :> () -} readLn :: (MonadIO m, Read a) => Stream (Of a) m () readLn = for stdinLn $ \str -> case readMaybe str of Nothing -> return () Just n -> yield n {-# INLINABLE readLn #-} {-| Read 'String's from a 'IO.Handle' using 'IO.hGetLine' Terminates on end of input >>> IO.withFile "/usr/share/dict/words" IO.ReadMode $ S.stdoutLn . S.take 3 . S.drop 50000 . S.fromHandle deflagrator deflate deflation -} fromHandle :: MonadIO m => IO.Handle -> Stream (Of String) m () fromHandle h = go where go = do eof <- liftIO $ IO.hIsEOF h unless eof $ do str <- liftIO $ IO.hGetLine h yield str go {-# INLINABLE fromHandle #-} {-| Write a succession of strings to a handle as separate lines. >>> S.toHandle IO.stdout $ each $ words "one two three" one two three -} toHandle :: MonadIO m => IO.Handle -> Stream (Of String) m r -> m r toHandle handle = loop where loop str = case str of Return r -> return r Effect m -> m >>= loop Step (s :> rest) -> do liftIO (IO.hPutStrLn handle s) loop rest {-# INLINABLE toHandle #-} {-| Print the elements of a stream as they arise. >>> S.print $ S.take 2 S.stdinLn hello "hello" world "world" >>> -} print :: (MonadIO m, Show a) => Stream (Of a) m r -> m r print = loop where loop stream = case stream of Return r -> return r Effect m -> m >>= loop Step (a :> rest) -> do liftIO (Prelude.print a) loop rest {-| Write 'String's to 'IO.stdout' using 'putStrLn'; terminates on a broken output pipe (This operation is modelled on 'Pipes.Prelude.stdoutLn'). >>> S.stdoutLn $ S.take 3 $ S.each $ words "one two three four five" one two three -} stdoutLn :: MonadIO m => Stream (Of String) m () -> m () stdoutLn = loop where loop stream = case stream of Return _ -> return () Effect m -> m >>= loop Step (s :> rest) -> do x <- liftIO $ try (putStrLn s) case x of Left (G.IOError { G.ioe_type = G.ResourceVanished , G.ioe_errno = Just ioe }) | Errno ioe == ePIPE -> return () Left e -> liftIO (throwIO e) Right () -> loop rest {-# INLINABLE stdoutLn #-} {-| Write 'String's to 'IO.stdout' using 'putStrLn' This does not handle a broken output pipe, but has a polymorphic return value, which makes this possible: >>> rest <- S.stdoutLn' $ S.show $ S.splitAt 3 (each [1..5]) 1 2 3 >>> S.print rest 4 5 -} stdoutLn' :: MonadIO m => Stream (Of String) m r -> m r stdoutLn' = loop where loop stream = case stream of Return r -> return r Effect m -> m >>= loop Step (s :> rest) -> liftIO (putStrLn s) >> loop rest {-# INLINE stdoutLn' #-} {-| Read a series of strings as lines to a file. >>> runResourceT $ S.writeFile "lines.txt" $ S.take 2 S.stdinLn hello world >>> runResourceT $ S.print $ S.readFile "lines.txt" "hello" "world" 'runResourceT', as it is used here, means something like 'closing_handles'; it makes it possible to write convenient, fairly sensible versions of 'readFile', 'writeFile' and 'appendFile'. Its use is explained . -} readFile :: MonadResource m => FilePath -> Stream (Of String) m () readFile f = bracketStream (IO.openFile f IO.ReadMode) (IO.hClose) fromHandle {-| Write a series of strings as lines to a file. The handle is crudely managed with 'ResourceT': >>> runResourceT $ S.writeFile "lines.txt" $ S.take 2 S.stdinLn hello world >>> runResourceT $ S.print $ S.readFile "lines.txt" "hello" "world" -} writeFile :: MonadResource m => FilePath -> Stream (Of String) m r -> m r writeFile f str = do (key, handle) <- allocate (IO.openFile f IO.WriteMode) (IO.hClose) r <- toHandle handle str release key return r -- -- * Producers -- -- $producers -- stdinLn -- -- , readLn -- -- , fromHandle -- -- , repeatM -- -- , replicateM -- -- -- -- * Consumers -- -- $consumers -- , stdoutLn -- -- , stdoutLn' -- -- , mapM_ -- -- , print -- -- , toHandle -- -- , effects -- -- -- -- * Pipes -- -- $pipes -- , map -- -- , mapM -- -- , sequence -- -- , mapFoldable -- -- , filter -- -- , filterM -- -- , take -- -- , takeWhile -- -- , takeWhile' -- -- , drop -- -- , dropWhile -- -- , concat -- -- , elemIndices -- , findIndices -- , scan -- -- , scanM -- -- , chain -- -- , read -- -- , show -- -- , seq -- -- -- -- * Folds -- -- $folds -- , fold -- -- , fold' -- -- , foldM -- -- , foldM' -- -- , all -- , any -- , and -- , or -- , elem -- , notElem -- , find -- , findIndex -- , head -- , index -- , last -- , length -- , maximum -- , minimum -- , null -- , sum -- -- , product -- -- , toList -- -- , toListM -- -- , toListM' -- -- -- -- * Zips -- , zip -- -- , zipWith -- -- distinguish :: (a -> Bool) -> Of a r -> Sum (Of a) (Of a) r distinguish predicate (a :> b) = if predicate a then InR (a :> b) else InL (a :> b) {-#INLINE distinguish #-} sumToEither ::Sum (Of a) (Of b) r -> Of (Either a b) r sumToEither s = case s of InL (a :> r) -> Left a :> r InR (b :> r) -> Right b :> r {-#INLINE sumToEither #-} eitherToSum :: Of (Either a b) r -> Sum (Of a) (Of b) r eitherToSum s = case s of Left a :> r -> InL (a :> r) Right b :> r -> InR (b :> r) {-#INLINE eitherToSum #-} composeToSum :: Compose (Of Bool) f r -> Sum f f r composeToSum x = case x of Compose (True :> f) -> InR f Compose (False :> f) -> InL f {-#INLINE composeToSum #-} sumToCompose :: Sum f f r -> Compose (Of Bool) f r sumToCompose x = case x of InR f -> Compose (True :> f) InL f -> Compose (False :> f) {-#INLINE sumToCompose #-} {-| Store the result of any suitable fold over a stream, keeping the stream for further manipulation. @store f = f . duplicate@ : >>> S.print $ S.store S.product $ each [1..4] 1 2 3 4 24 :> () >>> S.print $ S.store S.sum $ S.store S.product $ each [1..4] 1 2 3 4 10 :> (24 :> ()) Here the sum (10) and the product (24) have been \'stored\' for use when finally we have traversed the stream with 'print' . Needless to say, a second 'pass' is excluded conceptually, so the folds that you apply successively with @store@ are performed simultaneously, and in constant memory -- as they would be if, say, you linked them together with @Control.Fold@: >>> L.impurely S.foldM (liftA3 (\a b c -> (b,c)) (L.sink print) (L.generalize L.sum) (L.generalize L.product)) $ each [1..4] 1 2 3 4 (10,24) :> () Fusing folds after the fashion of @Control.Foldl@ will generally be a bit faster than the corresponding succession of uses of 'store', but by constant factor that will be completely dwarfed when any IO is at issue. But 'store' / 'duplicate' is /much/ more powerful, as you can see by reflecting on uses like this: >>> S.sum $ S.store (S.sum . mapped S.product . chunksOf 2) $ S.store (S.product . mapped S.sum . chunksOf 2 )$ each [1..6] 21 :> (44 :> (231 :> ())) It will be clear that this cannot be reproduced with any combination of lenses, @Control.Fold@ folds, or the like. (See also the discussion of 'duplicate'.) 'store' is intended to be used at types like these > storeM :: (Monad m => Stream (Of a) m r -> m (Of b r)) > -> (Monad n => Stream (Of a) n r -> Stream (Of a) n (Of b r)) > storeM = store > > storeMIO :: (MonadIO m => Stream (Of a) m r -> m (Of b r)) > -> ( MonadIO n => Stream (Of a) n r -> Stream (Of a) n (Of b r) > storeMIO = store And similarly for other constraints that @Stream (Of a)@ inherits, like 'MonadResource'. Thus I can filter and write to one file, but nub and write to another: >>> runResourceT $ (S.writeFile "hello2.txt" . S.nub) $ store (S.writeFile "hello.txt" . S.filter (/= "world")) $ each ["hello", "world", "goodbye", "world"] >>> :! cat hello.txt hello goodbye >>> :! cat hello2.txt hello world goodbye -} store :: Monad m => (Stream (Of a) (Stream (Of a) m) r -> t) -> Stream (Of a) m r -> t store f x = f (duplicate x) {-#INLINE store #-} {-| Duplicate the content of stream, so that it can be acted on twice in different ways, but without breaking streaming. Thus, given: >>> S.print $ each ["one","two"] "one" "two" >>> S.stdoutLn $ each ["one","two"] one two I can as well do: >>> S.print $ S.stdoutLn $ S.duplicate $ each ["one","two"] one "one" two "two" Where the actions you are contemplating are each simple folds over the elements, or a selection of elements, then the coupling of the folds is often more straightforwardly effected with `Control.Foldl`, e.g. >>> L.purely S.fold (liftA2 (,) L.sum L.product) $ each [1..10] (55,3628800) :> () rather than >>> S.sum $ S.product . S.duplicate $ each [1..10] 55 :> (3628800 :> ()) A @Control.Foldl@ fold can be altered to act on a selection of elements by using 'Control.Foldl.handles' on an appropriate lens. Some such manipulations are simpler and more 'Data.List'-like, using 'duplicate': >>> L.purely S.fold (liftA2 (,) (L.handles (filtered odd) L.sum) (L.handles (filtered even) L.product)) $ each [1..10] (25,3840) :> () becomes >>> S.sum $ S.filter odd $ S.product $ S.filter even $ S.duplicate $ each [1..10] 25 :> (3840 :> ()) or using 'store' >>> S.sum $ S.filter odd $ S.store (S.product . S.filter even) $ each [1..10] 25 :> (3840 :> ()) But anything that fold of a @Stream (Of a) m r@ into e.g. an @m (Of b r)@ that has a constraint on @m@ that is carried over into @Stream f m@ - e.g. @Monad@, @MonadIO@, @MonadResource@, etc. can be used on the stream. Thus, I can fold over different groupings of the original stream: >>> (S.toList . mapped S.toList . chunksOf 5) $ (S.toList . mapped S.toList . chunksOf 3) $ S.duplicate $ each [1..10] [[1,2,3,4,5],[6,7,8,9,10]] :> ([[1,2,3],[4,5,6],[7,8,9],[10]] :> ()) The procedure can be iterated as one pleases, as one can see from this (otherwise unadvisable!) example: >>> (S.toList . mapped S.toList . chunksOf 4) $ (S.toList . mapped S.toList . chunksOf 3) $ S.duplicate $ (S.toList . mapped S.toList . chunksOf 2) $ S.duplicate $ each [1..12] [[1,2,3,4],[5,6,7,8],[9,10,11,12]] :> ([[1,2,3],[4,5,6],[7,8,9],[10,11,12]] :> ([[1,2],[3,4],[5,6],[7,8],[9,10],[11,12]] :> ())) -} duplicate :: Monad m => Stream (Of a) m r -> Stream (Of a) (Stream (Of a) m) r duplicate = loop where loop str = case str of Return r -> Return r Effect m -> Effect (liftM loop (lift m)) Step (a :> rest) -> Step (a :> Effect (Step (a :> Return (loop rest)))) {-#INLINABLE duplicate#-} {-| The type > Data.List.unzip :: [(a,b)] -> ([a],[b]) might lead us to expect > Streaming.unzip :: Stream (Of (a,b)) m r -> Stream (Of a) m (Stream (Of b) m r) which would not stream. Of course, neither does 'Data.List.unzip' -} unzip :: Monad m => Stream (Of (a,b)) m r -> Stream (Of a) (Stream (Of b) m) r unzip = loop where loop str = case str of Return r -> Return r Effect m -> Effect (liftM loop (lift m)) Step ((a,b):> rest) -> Step (a :> Effect (Step (b :> Return (loop rest)))) {-#INLINABLE unzip #-} -- "fold/map" forall step begin done f str . -- fold step begin done (map f str) = fold (\x a -> step x $! f a) begin done str; -- -- "fold/filter" forall step begin done pred str . -- fold step begin done (filter pred str) = fold (\x a -> if pred a then step x a else x) begin done str; -- -- "scan/map" forall step begin done f str . -- scan step begin done (map f str) = scan (\x a -> step x $! f a) begin done str --