selective-0.5: src/Control/Selective.hs
{-# LANGUAGE CPP, LambdaCase, TupleSections, DeriveTraversable #-}
{-# LANGUAGE GeneralizedNewtypeDeriving #-}
{-# OPTIONS_GHC -fno-warn-unused-imports #-}
-----------------------------------------------------------------------------
-- |
-- Module : Control.Selective
-- Copyright : (c) Andrey Mokhov 2018-2019
-- License : MIT (see the file LICENSE)
-- Maintainer : andrey.mokhov@gmail.com
-- Stability : experimental
--
-- This is a library for /selective applicative functors/, or just
-- /selective functors/ for short, an abstraction between applicative functors
-- and monads, introduced in this paper:
-- https://www.staff.ncl.ac.uk/andrey.mokhov/selective-functors.pdf.
--
-----------------------------------------------------------------------------
module Control.Selective (
-- * Type class
Selective (..), (<*?), branch, selectA, selectT, apS, selectM,
-- * Conditional combinators
ifS, whenS, fromMaybeS, orElse, andAlso, untilRight, whileS, (<||>), (<&&>),
foldS, anyS, allS, bindS, Cases, casesEnum, cases, matchS, matchM,
-- * Selective functors
SelectA (..), SelectM (..), Over (..), Under (..), Validation (..),
-- * Miscellaneous
swapEither, ComposeEither (..)
) where
import Control.Applicative
import Control.Applicative.Lift
import Control.Arrow
import Control.Monad.ST
import Control.Monad.Trans.Cont
import Control.Monad.Trans.Except
import Control.Monad.Trans.Identity
import Control.Monad.Trans.Maybe
import Control.Monad.Trans.Reader
import Control.Monad.Trans.RWS
import Control.Monad.Trans.State
import Control.Monad.Trans.Writer
import Data.Bool
import Data.Function
import Data.Functor.Compose
import Data.Functor.Identity
import Data.Functor.Product
import Data.List.NonEmpty
import Data.Proxy
import Data.Semigroup (Semigroup (..))
import GHC.Conc (STM)
import qualified Control.Monad.Trans.RWS.Strict as S
import qualified Control.Monad.Trans.State.Strict as S
import qualified Control.Monad.Trans.Writer.Strict as S
-- | Selective applicative functors. You can think of 'select' as a selective
-- function application: when given a value of type 'Left' @a@, you __must apply__
-- the given function, but when given a 'Right' @b@, you __may skip__ the
-- function and associated effects, and simply return the @b@.
--
-- Note that it is not a requirement for selective functors to skip unnecessary
-- effects. It may be counterintuitive, but this makes them more useful. Why?
-- Typically, when executing a selective computation, you would want to skip the
-- effects (saving work); but on the other hand, if your goal is to statically
-- analyse a given selective computation and extract the set of all possible
-- effects (without actually executing them), then you do not want to skip any
-- effects, because that defeats the purpose of static analysis.
--
-- The type signature of 'select' is reminiscent of both '<*>' and '>>=', and
-- indeed a selective functor is in some sense a composition of an applicative
-- functor and the 'Either' monad.
--
-- Laws:
--
-- * Identity:
--
-- @
-- x \<*? pure id = either id id \<$\> x
-- @
--
-- * Distributivity; note that @y@ and @z@ have the same type @f (a -> b)@:
--
-- @
-- pure x \<*? (y *\> z) = (pure x \<*? y) *\> (pure x \<*? z)
-- @
--
-- * Associativity:
--
-- @
-- x \<*? (y \<*? z) = (f \<$\> x) \<*? (g \<$\> y) \<*? (h \<$\> z)
-- where
-- f x = Right \<$\> x
-- g y = \a -\> bimap (,a) ($a) y
-- h z = uncurry z
-- @
--
-- * Monadic 'select' (for selective functors that are also monads):
--
-- @
-- select = selectM
-- @
--
-- There are also a few useful theorems:
--
-- * Apply a pure function to the result:
--
-- @
-- f \<$\> select x y = select (fmap f \<$\> x) (fmap f \<$\> y)
-- @
--
-- * Apply a pure function to the @Left@ case of the first argument:
--
-- @
-- select (first f \<$\> x) y = select x ((. f) \<$\> y)
-- @
--
-- * Apply a pure function to the second argument:
--
-- @
-- select x (f \<$\> y) = select (first (flip f) \<$\> x) ((&) \<$\> y)
-- @
--
-- * Generalised identity:
--
-- @
-- x \<*? pure y = either y id \<$\> x
-- @
--
-- * A selective functor is /rigid/ if it satisfies '<*>' @=@ 'apS'. The
-- following /interchange/ law holds for rigid selective functors:
--
-- @
-- x *\> (y \<*? z) = (x *\> y) \<*? z
-- @
--
-- If f is also a 'Monad', we require that 'select' = 'selectM', from which one
-- can prove '<*>' @=@ 'apS'.
class Applicative f => Selective f where
select :: f (Either a b) -> f (a -> b) -> f b
{- Why do we have skew associativity, where we can reassociate effects to the
left but not to the right?
The following two tables, which list all possible combinations of effect
execution and skipping, might give you some intuition on why this happens.
---------------
(x <*? y) <*? z
---------------
1 0 0
1 1 0
1 0 1
1 1 1
---------------
x <*? (y <*? z)
---------------
1 0 0
1 1 0
1 1 1
A key observation is that when effects are associated to the right, we can't
skip the effect y and execute the effect z: combination 101 is impossible.
-}
-- | An operator alias for 'select', which is sometimes convenient. It tries to
-- follow the notational convention for 'Applicative' operators. The angle
-- bracket pointing to the left means we always use the corresponding value.
-- The value on the right, however, may be skipped, hence the question mark.
(<*?) :: Selective f => f (Either a b) -> f (a -> b) -> f b
(<*?) = select
infixl 4 <*?
-- | The 'branch' function is a natural generalisation of 'select': instead of
-- skipping an unnecessary effect, it chooses which of the two given effectful
-- functions to apply to a given argument; the other effect is unnecessary. It
-- is possible to implement 'branch' in terms of 'select', which is a good
-- puzzle (give it a try!).
--
-- We can also implement 'select' via 'branch':
--
-- @
-- selectB :: Selective f => f (Either a b) -> f (a -> b) -> f b
-- selectB x y = branch x y (pure id)
-- @
--
branch :: Selective f => f (Either a b) -> f (a -> c) -> f (b -> c) -> f c
branch x l r = fmap (fmap Left) x <*? fmap (fmap Right) l <*? r
-- | We can write a function with the type signature of 'select' using the
-- 'Applicative' type class, but it will always execute the effects associated
-- with the second argument, hence being potentially less efficient.
selectA :: Applicative f => f (Either a b) -> f (a -> b) -> f b
selectA x y = (\e f -> either f id e) <$> x <*> y
-- | If a functor is both 'Applicative' and 'Traversable', we can implement
-- 'select' in another interesting way: the effects associated with the second
-- argument can be skipped as long as the first argument contains only 'Right's.
selectT :: (Applicative f, Traversable f) => f (Either a b) -> f (a -> b) -> f b
selectT x y = case sequenceA x of
Left a -> ($a) <$> y
Right fb -> fb
{-| Recover the application operator '<*>' from 'select'. /Rigid/ selective
functors satisfy the law '<*>' @=@ 'apS' and furthermore, the resulting
applicative functor satisfies all laws of 'Applicative':
* Identity:
> pure id <*> v = v
* Homomorphism:
> pure f <*> pure x = pure (f x)
* Interchange:
> u <*> pure y = pure ($y) <*> u
* Composition:
> (.) <$> u <*> v <*> w = u <*> (v <*> w)
-}
apS :: Selective f => f (a -> b) -> f a -> f b
apS f x = select (Left <$> f) ((&) <$> x)
-- | One can easily implement a monadic 'selectM' that satisfies the laws,
-- hence any 'Monad' is 'Selective'.
selectM :: Monad f => f (Either a b) -> f (a -> b) -> f b
selectM x y = x >>= \case Left a -> ($a) <$> y -- execute y
Right b -> pure b -- skip y
-- Many useful 'Monad' combinators can be implemented with 'Selective'
-- | Branch on a Boolean value, skipping unnecessary effects.
ifS :: Selective f => f Bool -> f a -> f a -> f a
ifS x t e = branch (bool (Right ()) (Left ()) <$> x) (const <$> t) (const <$> e)
-- Implementation used in the paper:
-- ifS x t e = branch selector (fmap const t) (fmap const e)
-- where
-- selector = bool (Right ()) (Left ()) <$> x -- NB: convert True to Left ()
-- | Eliminate a specified value @a@ from @f (Either a b)@ by replacing it
-- with a given @f b@.
eliminate :: (Eq a, Selective f) => a -> f b -> f (Either a b) -> f (Either a b)
eliminate x fb fa = select (match x <$> fa) (const . Right <$> fb)
where
match _ (Right y) = Right (Right y)
match x (Left y) = if x == y then Left () else Right (Left y)
-- | A list of values, equipped with a fast membership test.
data Cases a = Cases [a] (a -> Bool)
-- | The list of all possible values of an enumerable data type.
casesEnum :: (Bounded a, Enum a) => Cases a
casesEnum = Cases [minBound..maxBound] (const True)
-- | Embed a list of values into 'Cases' using the trivial but slow membership
-- test based on 'elem'.
cases :: Eq a => [a] -> Cases a
cases as = Cases as (`elem` as)
-- | Eliminate all specified values @a@ from @f (Either a b)@ by replacing each
-- of them with a given @f a@.
matchS :: (Eq a, Selective f) => Cases a -> f a -> (a -> f b) -> f (Either a b)
matchS (Cases cs _) x f = foldr (\c -> eliminate c (f c)) (Left <$> x) cs
-- | Eliminate all specified values @a@ from @f (Either a b)@ by replacing each
-- of them with a given @f a@.
matchM :: Monad m => Cases a -> m a -> (a -> m b) -> m (Either a b)
matchM (Cases _ p) mx f = do
x <- mx
if p x then Right <$> f x else return (Left x)
-- TODO: Add a type-safe version based on @KnownNat@.
-- | A restricted version of monadic bind. Fails with an error if the 'Bounded'
-- and 'Enum' instances for @a@ do not cover all values of @a@.
bindS :: (Bounded a, Enum a, Eq a, Selective f) => f a -> (a -> f b) -> f b
bindS x f = fromRight <$> matchS casesEnum x f
where
fromRight (Right b) = b
fromRight _ = error "Selective.bindS: incorrect Bounded and/or Enum instance"
-- | Conditionally perform an effect.
whenS :: Selective f => f Bool -> f () -> f ()
whenS x y = select (bool (Right ()) (Left ()) <$> x) (const <$> y)
-- Implementation used in the paper:
-- whenS x y = selector <*? effect
-- where
-- selector = bool (Right ()) (Left ()) <$> x -- NB: maps True to Left ()
-- effect = const <$> y
-- | A lifted version of 'Data.Maybe.fromMaybe'.
fromMaybeS :: Selective f => f a -> f (Maybe a) -> f a
fromMaybeS x mx = select (maybe (Left ()) Right <$> mx) (const <$> x)
-- | Return the first @Right@ value. If both are @Left@'s, accumulate errors.
orElse :: (Selective f, Semigroup e) => f (Either e a) -> f (Either e a) -> f (Either e a)
orElse x y = branch x (flip appendLeft <$> y) (pure Right)
-- | Accumulate the @Right@ values, or return the first @Left@.
andAlso :: (Selective f, Semigroup a) => f (Either e a) -> f (Either e a) -> f (Either e a)
andAlso x y = swapEither <$> orElse (swapEither <$> x) (swapEither <$> y)
-- | Swap @Left@ and @Right@.
swapEither :: Either a b -> Either b a
swapEither = either Right Left
-- | Append two semigroup values or return the @Right@ one.
appendLeft :: Semigroup a => a -> Either a b -> Either a b
appendLeft a1 (Left a2) = Left (a1 <> a2)
appendLeft _ (Right b) = Right b
-- | Keep checking an effectful condition while it holds.
whileS :: Selective f => f Bool -> f ()
whileS act = whenS act (whileS act)
-- | Keep running an effectful computation until it returns a @Right@ value,
-- collecting the @Left@'s using a supplied @Monoid@ instance.
untilRight :: (Monoid a, Selective f) => f (Either a b) -> f (a, b)
untilRight x = select y h
where
-- y :: f (Either a (a, b))
y = fmap (mempty,) <$> x
-- h :: f (a -> (a, b))
h = (\(as, b) a -> (mappend a as, b)) <$> untilRight x
-- | A lifted version of lazy Boolean OR.
(<||>) :: Selective f => f Bool -> f Bool -> f Bool
a <||> b = ifS a (pure True) b
-- | A lifted version of lazy Boolean AND.
(<&&>) :: Selective f => f Bool -> f Bool -> f Bool
a <&&> b = ifS a b (pure False)
-- | A lifted version of 'any'. Retains the short-circuiting behaviour.
anyS :: Selective f => (a -> f Bool) -> [a] -> f Bool
anyS p = foldr ((<||>) . p) (pure False)
-- | A lifted version of 'all'. Retains the short-circuiting behaviour.
allS :: Selective f => (a -> f Bool) -> [a] -> f Bool
allS p = foldr ((<&&>) . p) (pure True)
-- | Generalised folding with the short-circuiting behaviour.
foldS :: (Selective f, Foldable t, Monoid a
#if !MIN_VERSION_base(4,11,0)
, Semigroup a
#endif
) => t (f (Either e a)) -> f (Either e a)
foldS = foldr andAlso (pure (Right mempty))
-- Instances
-- | Any applicative functor can be given a 'Selective' instance by defining
-- 'select' @=@ 'selectA'. This data type captures this pattern, so you can use
-- it in combination with the @DerivingVia@ extension as follows:
--
-- @
-- newtype Over m a = Over m
-- deriving (Functor, Applicative, Selective) via SelectA (Const m)
-- @
--
newtype SelectA f a = SelectA { getSelectA :: f a }
deriving (Functor, Applicative)
instance Applicative f => Selective (SelectA f) where
select = selectA
-- Note: Validation e a ~ Lift (Under e) a
instance Selective f => Selective (Lift f) where
select x (Pure y) = either y id <$> x
select (Pure (Right x)) _ = Pure x
select (Pure (Left x)) (Other y) = Other $ ($x) <$> y
select (Other x ) (Other y) = Other $ x <*? y
-- | Any monad can be given a 'Selective' instance by defining
-- 'select' @=@ 'selectM'. This data type captures this pattern, so you can use
-- it in combination with the @DerivingVia@ extension as follows:
--
-- @
-- newtype V1 a = V1 a
-- deriving (Functor, Applicative, Selective, Monad) via SelectM Identity
-- @
--
newtype SelectM f a = SelectM { getSelectM :: f a }
deriving (Functor, Applicative, Monad)
instance Monad f => Selective (SelectM f) where
select = selectM
-- | Static analysis of selective functors with over-approximation.
newtype Over m a = Over { getOver :: m }
deriving (Eq, Functor, Ord, Show)
instance Monoid m => Applicative (Over m) where
pure _ = Over mempty
Over x <*> Over y = Over (mappend x y)
-- select = selectA
instance Monoid m => Selective (Over m) where
select (Over x) (Over y) = Over (mappend x y)
-- | Static analysis of selective functors with under-approximation.
newtype Under m a = Under { getUnder :: m }
deriving (Eq, Functor, Ord, Show, Foldable, Traversable)
instance Monoid m => Applicative (Under m) where
pure _ = Under mempty
Under x <*> Under y = Under (mappend x y)
-- select = selectT
instance Monoid m => Selective (Under m) where
select (Under m) _ = Under m
-- The 'Selective' 'ZipList' instance corresponds to the SIMT execution model.
-- Quoting https://en.wikipedia.org/wiki/Single_instruction,_multiple_threads:
--
-- "...to handle an IF-ELSE block where various threads of a processor execute
-- different paths, all threads must actually process both paths (as all threads
-- of a processor always execute in lock-step), but masking is used to disable
-- and enable the various threads as appropriate..."
instance Selective ZipList where select = selectA
-- | Selective instance for the standard applicative functor Validation. This is
-- a good example of a non-trivial selective functor which is not a monad.
data Validation e a = Failure e | Success a deriving (Eq, Functor, Ord, Show)
instance Semigroup e => Applicative (Validation e) where
pure = Success
Failure e1 <*> Failure e2 = Failure (e1 <> e2)
Failure e1 <*> Success _ = Failure e1
Success _ <*> Failure e2 = Failure e2
Success f <*> Success a = Success (f a)
instance Semigroup e => Selective (Validation e) where
select (Success (Left a)) f = ($a) <$> f
select (Success (Right b)) _ = Success b
select (Failure e ) _ = Failure e
instance (Selective f, Selective g) => Selective (Product f g) where
select (Pair fx gx) (Pair fy gy) = Pair (select fx fy) (select gx gy)
instance Selective f => Selective (IdentityT f) where
select (IdentityT x) (IdentityT y) = IdentityT (select x y)
instance Selective f => Selective (ReaderT env f) where
select (ReaderT x) (ReaderT y) = ReaderT $ \env -> select (x env) (y env)
distributeEither :: (Either a b, w) -> Either (a, w) (b, w)
distributeEither (Left a, w) = Left (a, w)
distributeEither (Right b, w) = Right (b, w)
distributeFunction :: Monoid w => (a -> b, w) -> (a, w) -> (b, w)
distributeFunction (f, wf) (x, wx) = (f x, mappend wx wf)
instance (Monoid w, Selective f) => Selective (WriterT w f) where
select (WriterT x) (WriterT f) =
WriterT $ select (distributeEither <$> x) (distributeFunction <$> f)
instance (Monoid w, Selective f) => Selective (S.WriterT w f) where
select (S.WriterT x) (S.WriterT f) =
S.WriterT $ select (distributeEither <$> x) (distributeFunction <$> f)
-- TODO: Is this a useful instance? Note that composition of 'Alternative'
-- requires @f@ to be 'Alternative', and @g@ to be 'Applicative', which is
-- opposite to what we have here:
--
-- instance (Alternative f, Applicative g) => Alternative (Compose f g) ...
--
instance (Applicative f, Selective g) => Selective (Compose f g) where
select (Compose x) (Compose y) = Compose (select <$> x <*> y)
{- Here is why composing selective functors is tricky.
Consider @Compose Maybe IO@. The only sensible implementation is:
> select :: Maybe (IO (Either a b)) -> Maybe (IO (a -> b)) -> Maybe (IO b)
> select Nothing _ = Nothing
> select (Just x) (Just y) = Just (select x y)
> select (Just x) Nothing = Nothing -- Can't use Just: we don't have @a -> b@!
In other words, we have to be 'Applicative' on the outside functor 'Maybe',
because there is no way to peek inside 'IO', which forces us to statically
choose between 'Just', which doesn't work since we have no function @a -> b@,
and 'Nothing' which corresponds to the behaviour of 'selectA'.
-}
-- Monad instances
-- As a quick experiment, try: ifS (pure True) (print 1) (print 2)
instance Selective IO where select = selectM
-- And... we need to write a lot more instances
instance Selective [] where select = selectM
instance Monoid a => Selective ((,) a) where select = selectM
instance Selective ((->) a) where select = selectM
instance Selective (Either e) where select = selectM
instance Selective Identity where select = selectM
instance Selective Maybe where select = selectM
instance Selective NonEmpty where select = selectM
instance Selective Proxy where select = selectM
instance Selective (ST s) where select = selectM
instance Selective STM where select = selectM
instance Selective (ContT r m) where select = selectM
instance Monad m => Selective (ExceptT e m) where select = selectM
instance Monad m => Selective (MaybeT m) where select = selectM
instance (Monoid w, Monad m) => Selective (RWST r w s m) where select = selectM
instance (Monoid w, Monad m) => Selective (S.RWST r w s m) where select = selectM
instance Monad m => Selective (StateT s m) where select = selectM
instance Monad m => Selective (S.StateT s m) where select = selectM
------------------------------------ Arrows ------------------------------------
-- See the following standard definitions in "Control.Arrow".
-- newtype ArrowMonad a o = ArrowMonad (a () o)
-- instance Arrow a => Functor (ArrowMonad a)
-- instance Arrow a => Applicative (ArrowMonad a)
instance ArrowChoice a => Selective (ArrowMonad a) where
select (ArrowMonad x) y = ArrowMonad $ x >>> (toArrow y ||| returnA)
toArrow :: Arrow a => ArrowMonad a (i -> o) -> a i o
toArrow (ArrowMonad f) = arr ((),) >>> first f >>> arr (uncurry ($))
---------------------------------- Alternative ---------------------------------
-- | Composition of a functor @f@ with the 'Either' monad.
newtype ComposeEither f e a = ComposeEither (f (Either e a))
deriving Functor
instance Applicative f => Applicative (ComposeEither f e) where
pure a = ComposeEither (pure $ Right a)
ComposeEither x <*> ComposeEither y = ComposeEither ((<*>) <$> x <*> y)
instance (Selective f, Monoid e
#if !MIN_VERSION_base(4,11,0)
, Semigroup e
#endif
) => Alternative (ComposeEither f e) where
empty = ComposeEither (pure $ Left mempty)
ComposeEither x <|> ComposeEither y = ComposeEither (x `orElse` y)
{- One could also try implementing 'select' via 'Alternative' as follows:
selectAlt :: Alternative f => f (Either a b) -> f (a -> b) -> f b
selectAlt x y = failIfLeft x <|> selectA x y
where
failIfLeft :: Alternative f => f (Either a b) -> f b
failIfLeft = undefined
This has two issues:
1) A generic 'failIfLeft' if not possible, although many actual instances should
be able to implement it.
2) More importantly, this requires duplication of work: if we failed becauase we
happened to parse a 'Left' value in the first parser, then we need to rerun
it, obtain a 'Left' once again, and then execute the second parser. Again, a
specific instance may be able to cache the result and reuse it without
duplicating any work, but this does not seem to be possible to achieve
generically for any Alternative.
-}