I implemented a simple state machine in Python:
import time
def a():
print \"a()\"
return b
def b():
print \"b()\"
return c
def c():
print
If you use newtype instead of data, you don't incur any overhead. Also, you can wrap each state's function at the point of definition, so the expressions that use them don't have to:
import Control.Monad
newtype State = State { runState :: IO State }
a :: State
a = State $ print "a()" >> return b
b :: State
b = State $ print "b()" >> return c
c :: State
c = State $ print "c()" >> return a
runMachine :: State -> IO ()
runMachine s = runMachine =<< runState s
main = runMachine a
Edit: it struck me that runMachine has a more general form; a monadic version of iterate:
iterateM :: Monad m => (a -> m a) -> a -> m [a]
iterateM f a = do { b <- f a
; as <- iterateM f b
; return (a:as)
}
main = iterateM runState a
Edit: Hmm, iterateM causes a space-leak. Maybe iterateM_ would be better.
iterateM_ :: Monad m => (a -> m a) -> a -> m ()
iterateM_ f a = f a >>= iterateM_ f
main = iterateM_ runState a
Edit: If you want to thread some state through the state machine, you can use the same definition for State, but change the state functions to:
a :: Int -> State
a i = State $ do{ print $ "a(" ++ show i ++ ")"
; return $ b (i+1)
}
b :: Int -> State
b i = State $ do{ print $ "b(" ++ show i ++ ")"
; return $ c (i+1)
}
c :: Int -> State
c i = State $ do{ print $ "c(" ++ show i ++ ")"
; return $ a (i+1)
}
main = iterateM_ runState $ a 1