aivika-4.5: Simulation/Aivika/Internal/Parameter.hs
{-# LANGUAGE RecursiveDo #-}
-- |
-- Module : Simulation.Aivika.Internal.Parameter
-- Copyright : Copyright (c) 2009-2016, David Sorokin <david.sorokin@gmail.com>
-- License : BSD3
-- Maintainer : David Sorokin <david.sorokin@gmail.com>
-- Stability : experimental
-- Tested with: GHC 8.0.1
--
-- This is an internal implementation module that should never be used directly.
--
-- The module defines the 'Parameter' monad that allows representing the model
-- parameters. For example, they can be used when running the Monte-Carlo simulation.
--
-- In general, this monad is very useful for representing a computation which is external
-- relative to the model itself.
--
module Simulation.Aivika.Internal.Parameter
(-- * Parameter
Parameter(..),
ParameterLift(..),
invokeParameter,
runParameter,
runParameters,
-- * Error Handling
catchParameter,
finallyParameter,
throwParameter,
-- * Predefined Parameters
simulationIndex,
simulationCount,
simulationSpecs,
starttime,
stoptime,
dt,
generatorParameter,
-- * Memoization
memoParameter,
-- * Utilities
tableParameter) where
import Control.Exception
import Control.Concurrent.MVar
import Control.Monad
import Control.Monad.Trans
import Control.Monad.Fix
import Control.Applicative
import Data.IORef
import qualified Data.IntMap as M
import Data.Array
import Simulation.Aivika.Generator
import Simulation.Aivika.Internal.Specs
-- | The 'Parameter' monad that allows specifying the model parameters.
-- For example, they can be used when running the Monte-Carlo simulation.
--
-- In general, this monad is very useful for representing a computation which is external
-- relative to the model itself.
newtype Parameter a = Parameter (Run -> IO a)
instance Monad Parameter where
return = returnP
m >>= k = bindP m k
returnP :: a -> Parameter a
{-# INLINE returnP #-}
returnP a = Parameter (\r -> return a)
bindP :: Parameter a -> (a -> Parameter b) -> Parameter b
{-# INLINE bindP #-}
bindP (Parameter m) k =
Parameter $ \r ->
do a <- m r
let Parameter m' = k a
m' r
-- | Run the parameter using the specified specs.
runParameter :: Parameter a -> Specs -> IO a
runParameter (Parameter m) sc =
do q <- newEventQueue sc
g <- newGenerator $ spcGeneratorType sc
m Run { runSpecs = sc,
runIndex = 1,
runCount = 1,
runEventQueue = q,
runGenerator = g }
-- | Run the given number of parameters using the specified specs,
-- where each parameter is distinguished by its index 'parameterIndex'.
runParameters :: Parameter a -> Specs -> Int -> [IO a]
runParameters (Parameter m) sc runs = map f [1 .. runs]
where f i = do q <- newEventQueue sc
g <- newGenerator $ spcGeneratorType sc
m Run { runSpecs = sc,
runIndex = i,
runCount = runs,
runEventQueue = q,
runGenerator = g }
-- | Return the run index for the current simulation.
simulationIndex :: Parameter Int
simulationIndex = Parameter $ return . runIndex
-- | Return the number of simulations currently run.
simulationCount :: Parameter Int
simulationCount = Parameter $ return . runCount
-- | Return the simulation specs.
simulationSpecs :: Parameter Specs
simulationSpecs = Parameter $ return . runSpecs
-- | Return the random number generator for the simulation run.
generatorParameter :: Parameter Generator
generatorParameter = Parameter $ return . runGenerator
instance Functor Parameter where
fmap = liftMP
instance Applicative Parameter where
pure = return
(<*>) = ap
instance Eq (Parameter a) where
x == y = error "Can't compare parameters."
instance Show (Parameter a) where
showsPrec _ x = showString "<< Parameter >>"
liftMP :: (a -> b) -> Parameter a -> Parameter b
{-# INLINE liftMP #-}
liftMP f (Parameter x) =
Parameter $ \r -> do { a <- x r; return $ f a }
liftM2P :: (a -> b -> c) -> Parameter a -> Parameter b -> Parameter c
{-# INLINE liftM2P #-}
liftM2P f (Parameter x) (Parameter y) =
Parameter $ \r -> do { a <- x r; b <- y r; return $ f a b }
instance (Num a) => Num (Parameter a) where
x + y = liftM2P (+) x y
x - y = liftM2P (-) x y
x * y = liftM2P (*) x y
negate = liftMP negate
abs = liftMP abs
signum = liftMP signum
fromInteger i = return $ fromInteger i
instance (Fractional a) => Fractional (Parameter a) where
x / y = liftM2P (/) x y
recip = liftMP recip
fromRational t = return $ fromRational t
instance (Floating a) => Floating (Parameter a) where
pi = return pi
exp = liftMP exp
log = liftMP log
sqrt = liftMP sqrt
x ** y = liftM2P (**) x y
sin = liftMP sin
cos = liftMP cos
tan = liftMP tan
asin = liftMP asin
acos = liftMP acos
atan = liftMP atan
sinh = liftMP sinh
cosh = liftMP cosh
tanh = liftMP tanh
asinh = liftMP asinh
acosh = liftMP acosh
atanh = liftMP atanh
instance MonadIO Parameter where
liftIO m = Parameter $ const m
-- | A type class to lift the parameters to other computations.
class ParameterLift m where
-- | Lift the specified 'Parameter' computation to another computation.
liftParameter :: Parameter a -> m a
instance ParameterLift Parameter where
liftParameter = id
-- | Exception handling within 'Parameter' computations.
catchParameter :: Exception e => Parameter a -> (e -> Parameter a) -> Parameter a
catchParameter (Parameter m) h =
Parameter $ \r ->
catch (m r) $ \e ->
let Parameter m' = h e in m' r
-- | A computation with finalization part like the 'finally' function.
finallyParameter :: Parameter a -> Parameter b -> Parameter a
finallyParameter (Parameter m) (Parameter m') =
Parameter $ \r ->
finally (m r) (m' r)
-- | Like the standard 'throw' function.
throwParameter :: Exception e => e -> Parameter a
throwParameter = throw
-- | Invoke the 'Parameter' computation.
invokeParameter :: Run -> Parameter a -> IO a
{-# INLINE invokeParameter #-}
invokeParameter r (Parameter m) = m r
instance MonadFix Parameter where
mfix f =
Parameter $ \r ->
do { rec { a <- invokeParameter r (f a) }; return a }
-- | Memoize the 'Parameter' computation, always returning the same value
-- within a simulation run. However, the value will be recalculated for other
-- simulation runs. Also it is thread-safe when different simulation runs
-- are executed in parallel on physically different operating system threads.
memoParameter :: Parameter a -> IO (Parameter a)
memoParameter x =
do lock <- newMVar ()
dict <- newIORef M.empty
return $ Parameter $ \r ->
do let i = runIndex r
m <- readIORef dict
if M.member i m
then do let Just v = M.lookup i m
return v
else withMVar lock $
\() -> do { m <- readIORef dict;
if M.member i m
then do let Just v = M.lookup i m
return v
else do v <- invokeParameter r x
writeIORef dict $ M.insert i v m
return v }
-- | Return a parameter which value is taken consequently from the specified table
-- based on the run index of the current simulation starting from zero. After all
-- values from the table are used, it takes again the first value of the table,
-- then the second one and so on.
tableParameter :: Array Int a -> Parameter a
tableParameter t =
do i <- simulationIndex
return $ t ! (((i - i1) `mod` n) + i1)
where (i1, i2) = bounds t
n = i2 - i1 + 1
-- | Computation that returns the start simulation time.
starttime :: Parameter Double
starttime =
Parameter $ return . spcStartTime . runSpecs
-- | Computation that returns the final simulation time.
stoptime :: Parameter Double
stoptime =
Parameter $ return . spcStopTime . runSpecs
-- | Computation that returns the integration time step.
dt :: Parameter Double
dt =
Parameter $ return . spcDT . runSpecs