massiv-0.4.1.0: src/Data/Massiv/Array/Delayed/Stream.hs
{-# LANGUAGE CPP #-}
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE TypeFamilies #-}
-- |
-- Module : Data.Massiv.Array.Delayed.Stream
-- Copyright : (c) Alexey Kuleshevich 2019
-- License : BSD3
-- Maintainer : Alexey Kuleshevich <lehins@yandex.ru>
-- Stability : experimental
-- Portability : non-portable
--
module Data.Massiv.Array.Delayed.Stream
( DS(..)
, Array (..)
, toStreamArray
, toSteps
, fromSteps
, takeS
, dropS
, filterS
, filterM
, mapMaybeS
, mapMaybeM
, unfoldr
, unfoldrN
) where
import Control.Applicative
import Control.Monad (void)
import Data.Coerce
import Data.Massiv.Array.Delayed.Pull
import qualified Data.Massiv.Array.Manifest.Vector.Stream as S
import Data.Massiv.Core.Common
import GHC.Exts
import Prelude hiding (take, drop)
-- | Delayed array that will be loaded in an interleaved fashion during parallel
-- computation.
data DS = DS
newtype instance Array DS Ix1 e = DSArray
{ dsArray :: S.Steps S.Id e
}
-- | /O(1)/ - Convert delayed stream arrray into `Steps`.
--
-- @since 0.4.1
toSteps :: Array DS Ix1 e -> Steps Id e
toSteps = coerce
{-# INLINE toSteps #-}
-- | /O(1)/ - Convert `Steps` into delayed stream arrray
--
-- @since 0.4.1
fromSteps :: Steps Id e -> Array DS Ix1 e
fromSteps = coerce
{-# INLINE fromSteps #-}
instance Functor (Array DS Ix1) where
fmap f = coerce . fmap f . dsArray
{-# INLINE fmap #-}
instance Applicative (Array DS Ix1) where
pure = fromSteps . S.singleton
{-# INLINE pure #-}
(<*>) a1 a2 = fromSteps (S.zipWith ($) (coerce a1) (coerce a2))
{-# INLINE (<*>) #-}
#if MIN_VERSION_base(4,10,0)
liftA2 f a1 a2 = fromSteps (S.zipWith f (coerce a1) (coerce a2))
{-# INLINE liftA2 #-}
#endif
instance Monad (Array DS Ix1) where
return = fromSteps . S.singleton
{-# INLINE return #-}
(>>=) arr f = coerce (S.concatMap (coerce . f) (dsArray arr))
{-# INLINE (>>=) #-}
instance Foldable (Array DS Ix1) where
foldr f acc = S.foldr f acc . toSteps
{-# INLINE foldr #-}
length = S.length . coerce
{-# INLINE length #-}
-- TODO: add more
instance Semigroup (Array DS Ix1 e) where
(<>) a1 a2 = fromSteps (coerce a1 `S.append` coerce a2)
{-# INLINE (<>) #-}
instance Monoid (Array DS Ix1 e) where
mempty = DSArray S.empty
{-# INLINE mempty #-}
mappend = (<>)
{-# INLINE mappend #-}
instance IsList (Array DS Ix1 e) where
type Item (Array DS Ix1 e) = e
fromList = fromSteps . S.fromList
{-# INLINE fromList #-}
fromListN n = fromSteps . S.fromListN n
{-# INLINE fromListN #-}
toList = S.toList . coerce
{-# INLINE toList #-}
instance S.Stream DS Ix1 e where
toStream = coerce
{-# INLINE toStream #-}
-- | Flatten an array into a stream of values.
--
-- @since 0.4.1
toStreamArray :: Source r ix e => Array r ix e -> Array DS Ix1 e
toStreamArray = DSArray . S.steps
{-# INLINE toStreamArray #-}
instance Construct DS Ix1 e where
setComp _ arr = arr
{-# INLINE setComp #-}
makeArrayLinear _ (Sz k) = fromSteps . S.generate k
{-# INLINE makeArrayLinear #-}
instance Extract DS Ix1 e where
unsafeExtract sIx newSz = fromSteps . S.slice sIx (unSz newSz) . dsArray
{-# INLINE unsafeExtract #-}
-- | /O(n)/ - `size` implementation.
instance Load DS Ix1 e where
size = SafeSz . S.length . coerce
{-# INLINE size #-}
getComp _ = Seq
{-# INLINE getComp #-}
loadArrayM _scheduler arr uWrite =
case stepsSize (dsArray arr) of
S.Exact _ ->
void $ S.foldlM (\i e -> uWrite i e >> pure (i + 1)) 0 (S.transStepsId (coerce arr))
_ -> error "Loading Stream array is not supported with loadArrayM"
{-# INLINE loadArrayM #-}
unsafeLoadIntoS marr (DSArray sts) =
S.unstreamIntoM marr (stepsSize sts) (stepsStream sts)
{-# INLINE unsafeLoadIntoS #-}
unsafeLoadInto marr arr = liftIO $ unsafeLoadIntoS marr arr
{-# INLINE unsafeLoadInto #-}
-- cons :: e -> Array DS Ix1 e -> Array DS Ix1 e
-- cons e = coerce . S.cons e . dsArray
-- {-# INLINE cons #-}
-- uncons :: Array DS Ix1 e -> Maybe (e, Array DS Ix1 e)
-- uncons = coerce . S.uncons . dsArray
-- {-# INLINE uncons #-}
-- snoc :: Array DS Ix1 e -> e -> Array DS Ix1 e
-- snoc (DSArray sts) e = DSArray (S.snoc sts e)
-- {-# INLINE snoc #-}
-- TODO: skip the stride while loading
-- instance StrideLoad DS Ix1 e where
-- loadArrayWithStrideM scheduler stride resultSize arr uWrite =
-- let strideIx = unStride stride
-- DIArray (DArray _ _ f) = arr
-- in loopM_ 0 (< numWorkers scheduler) (+ 1) $ \ !start ->
-- scheduleWork scheduler $
-- iterLinearM_ resultSize start (totalElem resultSize) (numWorkers scheduler) (<) $
-- \ !i ix -> uWrite i (f (liftIndex2 (*) strideIx ix))
-- {-# INLINE loadArrayWithStrideM #-}
-- | Right unfolding function. Useful when we do not have any idea ahead of time on how
-- many elements the vector will have.
--
-- ====__Example__
--
-- >>> import Data.Massiv.Array as A
-- >>> unfoldr (\i -> if i < 9 then Just (i*i, i + 1) else Nothing) (0 :: Int)
-- Array DS Seq (Sz1 9)
-- [ 0, 1, 4, 9, 16, 25, 36, 49, 64 ]
-- >>> unfoldr (\i -> if sqrt i < 3 then Just (i * i, i + 1) else Nothing) (0 :: Double)
-- Array DS Seq (Sz1 9)
-- [ 0.0, 1.0, 4.0, 9.0, 16.0, 25.0, 36.0, 49.0, 64.0 ]
--
-- @since 0.4.1
unfoldr :: (s -> Maybe (e, s)) -> s -> Array DS Ix1 e
unfoldr f = DSArray . S.unfoldr f
{-# INLINE unfoldr #-}
-- | Right unfolding function with limited number of elements.
--
-- ==== __Example__
--
-- >>> import Data.Massiv.Array as A
-- >>> unfoldrN 9 (\i -> Just (i*i, i + 1)) (0 :: Int)
-- Array DS Seq (Sz1 9)
-- [ 0, 1, 4, 9, 16, 25, 36, 49, 64 ]
--
-- @since 0.4.1
unfoldrN ::
Sz1
-- ^ Maximum number of elements that the vector can have
-> (s -> Maybe (e, s))
-- ^ Unfolding function. Stops when `Nothing` is reaturned or maximum number of elements
-- is reached.
-> s -- ^ Inititial element.
-> Array DS Ix1 e
unfoldrN n f = DSArray . S.unfoldrN n f
{-# INLINE unfoldrN #-}
-- | Sequentially filter out elements from the array according to the supplied predicate.
--
-- ==== __Example__
--
-- >>> import Data.Massiv.Array as A
-- >>> arr = makeArrayR D Seq (Sz2 3 4) fromIx2
-- >>> arr
-- Array D Seq (Sz (3 :. 4))
-- [ [ (0,0), (0,1), (0,2), (0,3) ]
-- , [ (1,0), (1,1), (1,2), (1,3) ]
-- , [ (2,0), (2,1), (2,2), (2,3) ]
-- ]
-- >>> filterS (even . fst) arr
-- Array DS Seq (Sz1 8)
-- [ (0,0), (0,1), (0,2), (0,3), (2,0), (2,1), (2,2), (2,3) ]
--
-- @since 0.4.1
filterS :: S.Stream r ix e => (e -> Bool) -> Array r ix e -> Array DS Ix1 e
filterS f = DSArray . S.filter f . S.toStream
{-# INLINE filterS #-}
-- | Sequentially filter out elements from the array according to the supplied applicative predicate.
--
-- ==== __Example__
--
-- >>> import Data.Massiv.Array as A
-- >>> arr = makeArrayR D Seq (Sz2 3 4) fromIx2
-- >>> arr
-- Array D Seq (Sz (3 :. 4))
-- [ [ (0,0), (0,1), (0,2), (0,3) ]
-- , [ (1,0), (1,1), (1,2), (1,3) ]
-- , [ (2,0), (2,1), (2,2), (2,3) ]
-- ]
-- >>> filterM (Just . odd . fst) arr
-- Just (Array DS Seq (Sz1 4)
-- [ (1,0), (1,1), (1,2), (1,3) ]
-- )
-- >>> filterM (\ix@(_, j) -> print ix >> return (even j)) arr
-- (0,0)
-- (0,1)
-- (0,2)
-- (0,3)
-- (1,0)
-- (1,1)
-- (1,2)
-- (1,3)
-- (2,0)
-- (2,1)
-- (2,2)
-- (2,3)
-- Array DS Seq (Sz1 6)
-- [ (0,0), (0,2), (1,0), (1,2), (2,0), (2,2) ]
--
-- @since 0.4.1
filterM :: (S.Stream r ix e, Applicative f) => (e -> f Bool) -> Array r ix e -> f (Array DS Ix1 e)
filterM f arr = DSArray <$> S.filterA f (S.toStream arr)
{-# INLINE filterM #-}
-- | Apply a function to each element of the array, while discarding `Nothing` and
-- keepingt he `Maybe` result.
--
-- @since 0.4.1
mapMaybeS :: S.Stream r ix a => (a -> Maybe b) -> Array r ix a -> Array DS Ix1 b
mapMaybeS f = DSArray . S.mapMaybe f . S.toStream
{-# INLINE mapMaybeS #-}
-- | Similar to `mapMaybeS`, but with the use of `Applicative`
--
-- @since 0.4.1
mapMaybeM ::
(S.Stream r ix a, Applicative f) => (a -> f (Maybe b)) -> Array r ix a -> f (Array DS Ix1 b)
mapMaybeM f arr = DSArray <$> S.mapMaybeA f (S.toStream arr)
{-# INLINE mapMaybeM #-}
-- | Extract first @n@ elements from the stream vector
--
-- @since 0.4.1
takeS :: Stream r ix e => Sz1 -> Array r ix e -> Array DS Ix1 e
takeS n = fromSteps . S.take (unSz n) . S.toStream
{-# INLINE takeS #-}
-- | Keep all but first @n@ elements from the stream vector.
--
-- @since 0.4.1
dropS :: Stream r ix e => Sz1 -> Array r ix e -> Array DS Ix1 e
dropS n = fromSteps . S.drop (unSz n) . S.toStream
{-# INLINE dropS #-}