rhine-0.3.0.0: src/FRP/Rhine/SyncSF.hs
{-# LANGUAGE Arrows #-}
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE RankNTypes #-}
{-# LANGUAGE RecordWildCards #-}
{-# LANGUAGE TypeFamilies #-}
module FRP.Rhine.SyncSF where
-- base
import Control.Arrow
import Control.Category (Category)
import qualified Control.Category (id)
-- transformers
import Control.Monad.Trans.Reader
(ReaderT, ask, asks, mapReaderT, withReaderT)
-- dunai
import Data.MonadicStreamFunction
(MSF, liftMSFPurer, liftMSFTrans, arrM, arrM_, sumFrom, delay, feedback)
import Data.VectorSpace
-- rhine
import FRP.Rhine.Clock
import FRP.Rhine.TimeDomain
-- * Synchronous signal functions and behaviours
-- | A (synchronous) monadic stream function
-- with the additional side effect of being time-aware,
-- that is, reading the current 'TimeInfo' of the clock @cl@.
type SyncSF m cl a b = MSF (ReaderT (TimeInfo cl) m) a b
-- | A synchronous signal is a 'SyncSF' with no input required.
-- It produces its output on its own.
type SyncSignal m cl a = SyncSF m cl () a
-- | A (side-effectful) behaviour is a time-aware stream
-- that doesn't depend on a particular clock.
-- @td@ denotes the 'TimeDomain'.
type Behaviour m td a = forall cl. td ~ TimeDomainOf cl => SyncSignal m cl a
-- | Compatibility to U.S. american spelling.
type Behavior m td a = Behaviour m td a
-- | A (side-effectful) behaviour function is a time-aware synchronous stream
-- function that doesn't depend on a particular clock.
-- @td denotes the 'TimeDomain'.
type BehaviourF m td a b = forall cl. td ~ TimeDomainOf cl => SyncSF m cl a b
-- | Compatibility to U.S. american spelling.
type BehaviorF m td a b = BehaviourF m td a b
-- * Utilities to create 'SyncSF's from simpler data
-- TODO Test in which situations it makes sense not to change cl
-- | Hoist a 'SyncSF' along a monad morphism.
hoistSyncSF
:: (Monad m1, Monad m2)
=> (forall c. m1 c -> m2 c)
-> SyncSF m1 cl a b
-> SyncSF m2 (HoistClock m1 m2 cl) a b
hoistSyncSF hoist = liftMSFPurer $ withReaderT (retag id) . mapReaderT hoist
-- | A monadic stream function without dependency on time
-- is a 'SyncSF' for any clock.
timeless :: Monad m => MSF m a b -> SyncSF m cl a b
timeless = liftMSFTrans
-- | Utility to lift Kleisli arrows directly to 'SyncSF's.
arrMSync :: Monad m => (a -> m b) -> SyncSF m cl a b
arrMSync = timeless . arrM
-- | Version without input.
arrMSync_ :: Monad m => m b -> SyncSF m cl a b
arrMSync_ = timeless . arrM_
-- | Read the environment variable, i.e. the 'TimeInfo'.
timeInfo :: Monad m => SyncSF m cl a (TimeInfo cl)
timeInfo = arrM_ ask
{- | Utility to apply functions to the current 'TimeInfo',
such as record selectors:
@
printAbsoluteTime :: SyncSF IO cl () ()
printAbsoluteTime = timeInfoOf absolute >>> arrMSync print
@
-}
timeInfoOf :: Monad m => (TimeInfo cl -> b) -> SyncSF m cl a b
timeInfoOf f = arrM_ $ asks f
-- * Useful aliases
-- TODO Is it cleverer to generalise to Arrow?
{- | Alias for 'Control.Category.>>>' (sequential composition)
with higher operator precedence, designed to work with the other operators, e.g.:
> syncsf1 >-> syncsf2 @@ clA **@ sched @** syncsf3 >-> syncsf4 @@ clB
The type signature specialises e.g. to
> (>->) :: Monad m => SyncSF m cl a b -> SyncSF m cl b c -> SyncSF m cl a c
-}
infixr 6 >->
(>->) :: Category cat
=> cat a b
-> cat b c
-> cat a c
(>->) = (>>>)
-- | Alias for 'Control.Category.<<<'.
infixl 6 <-<
(<-<) :: Category cat
=> cat b c
-> cat a b
-> cat a c
(<-<) = (<<<)
{- | Output a constant value.
Specialises e.g. to this type signature:
> arr_ :: Monad m => b -> SyncSF m cl a b
-}
arr_ :: Arrow a => b -> a c b
arr_ = arr . const
-- | The identity synchronous stream function.
syncId :: Monad m => SyncSF m cl a a
syncId = Control.Category.id
-- * Basic signal processing components
-- | The output of @integralFrom v0@ is the numerical Euler integral
-- of the input, with initial offset @v0@.
integralFrom
:: ( Monad m, VectorSpace v
, Groundfield v ~ Diff td)
=> v -> BehaviorF m td v v
integralFrom v0 = proc v -> do
_sinceTick <- timeInfoOf sinceTick -< ()
sumFrom v0 -< _sinceTick *^ v
-- | Euler integration, with zero initial offset.
integral
:: ( Monad m, VectorSpace v
, Groundfield v ~ Diff td)
=> BehaviorF m td v v
integral = integralFrom zeroVector
-- | The output of @derivativeFrom v0@ is the numerical derivative of the input,
-- with a Newton difference quotient.
-- The input is initialised with @v0@.
derivativeFrom
:: ( Monad m, VectorSpace v
, Groundfield v ~ Diff td)
=> v -> BehaviorF m td v v
derivativeFrom v0 = proc v -> do
vLast <- delay v0 -< v
TimeInfo {..} <- timeInfo -< ()
returnA -< (v ^-^ vLast) ^/ sinceTick
-- | Numerical derivative with input initialised to zero.
derivative
:: ( Monad m, VectorSpace v
, Groundfield v ~ Diff td)
=> BehaviorF m td v v
derivative = derivativeFrom zeroVector
-- | A weighted moving average signal function.
-- The output is the average of the first input,
-- weighted by the second input
-- (which is assumed to be always between 0 and 1).
-- The weight is applied to the average of the last tick,
-- so a weight of 1 simply repeats the past value unchanged,
-- whereas a weight of 0 outputs the current value.
weightedAverageFrom
:: ( Monad m, VectorSpace v
, Groundfield v ~ Diff td)
=> v -- ^ The initial position
-> BehaviorF m td (v, Groundfield v) v
weightedAverageFrom v0 = feedback v0 $ proc ((v, weight), vAvg) -> do
let
vAvg' = weight *^ vAvg ^+^ (1 - weight) *^ v
returnA -< (vAvg', vAvg')
-- | An exponential moving average, or low pass.
-- It will average out, or filter,
-- all features below a given time scale.
averageFrom
:: ( Monad m, VectorSpace v
, Floating (Groundfield v)
, Groundfield v ~ Diff td)
=> v -- ^ The initial position
-> Diff td -- ^ The time scale on which the signal is averaged
-> BehaviorF m td v v
averageFrom v0 t = proc v -> do
TimeInfo {..} <- timeInfo -< ()
let
weight = exp $ - (sinceTick / t)
weightedAverageFrom v0 -< (v, weight)
-- | An average, or low pass, initialised to zero.
average
:: ( Monad m, VectorSpace v
, Floating (Groundfield v)
, Groundfield v ~ Diff td)
=> Diff td -- ^ The time scale on which the signal is averaged
-> BehaviourF m td v v
average = averageFrom zeroVector
-- | A linearised version of 'averageFrom'.
-- It is more efficient, but only accurate
-- if the supplied time scale is much bigger
-- than the average time difference between two ticks.
averageLinFrom
:: ( Monad m, VectorSpace v
, Groundfield v ~ Diff td)
=> v -- ^ The initial position
-> Diff td -- ^ The time scale on which the signal is averaged
-> BehaviourF m td v v
averageLinFrom v0 t = proc v -> do
TimeInfo {..} <- timeInfo -< ()
let
weight = t / (sinceTick + t)
weightedAverageFrom v0 -< (v, weight)
-- | Linearised version of 'average'.
averageLin
:: ( Monad m, VectorSpace v
, Groundfield v ~ Diff td)
=> Diff td -- ^ The time scale on which the signal is averaged
-> BehaviourF m td v v
averageLin = averageLinFrom zeroVector