-- | -- Module : Control.Monad.Bayes.Traced.Static -- Description : Distributions on execution traces of full programs -- Copyright : (c) Adam Scibior, 2015-2020 -- License : MIT -- Maintainer : leonhard.markert@tweag.io -- Stability : experimental -- Portability : GHC module Control.Monad.Bayes.Traced.Static ( Traced, hoistT, marginal, mhStep, mh, ) where import Control.Applicative (liftA2) import Control.Monad.Bayes.Class import Control.Monad.Bayes.Free (FreeSampler) import Control.Monad.Bayes.Traced.Common import Control.Monad.Bayes.Weighted (Weighted) import Control.Monad.Trans (MonadTrans (..)) -- | A tracing monad where only a subset of random choices are traced. -- -- The random choices that are not to be traced should be lifted from the -- transformed monad. data Traced m a = Traced { model :: Weighted (FreeSampler m) a, traceDist :: m (Trace a) } instance Monad m => Functor (Traced m) where fmap f (Traced m d) = Traced (fmap f m) (fmap (fmap f) d) instance Monad m => Applicative (Traced m) where pure x = Traced (pure x) (pure (pure x)) (Traced mf df) <*> (Traced mx dx) = Traced (mf <*> mx) (liftA2 (<*>) df dx) instance Monad m => Monad (Traced m) where (Traced mx dx) >>= f = Traced my dy where my = mx >>= model . f dy = dx `bind` (traceDist . f) instance MonadTrans Traced where lift m = Traced (lift $ lift m) (fmap pure m) instance MonadSample m => MonadSample (Traced m) where random = Traced random (fmap singleton random) instance MonadCond m => MonadCond (Traced m) where score w = Traced (score w) (score w >> pure (scored w)) instance MonadInfer m => MonadInfer (Traced m) hoistT :: (forall x. m x -> m x) -> Traced m a -> Traced m a hoistT f (Traced m d) = Traced m (f d) -- | Discard the trace and supporting infrastructure. marginal :: Monad m => Traced m a -> m a marginal (Traced _ d) = fmap output d -- | A single step of the Trace Metropolis-Hastings algorithm. mhStep :: MonadSample m => Traced m a -> Traced m a mhStep (Traced m d) = Traced m d' where d' = d >>= mhTrans m -- | Full run of the Trace Metropolis-Hastings algorithm with a specified -- number of steps. mh :: MonadSample m => Int -> Traced m a -> m [a] mh n (Traced m d) = fmap (map output) (f n) where f 0 = fmap (: []) d f k = do ~(x : xs) <- f (k -1) y <- mhTrans m x return (y : x : xs)