# New monads/MonadRandomSplittable

### From HaskellWiki

< New monads(Difference between revisions)

(splitRandoms, getRandoms, getRandomRs) |
(Fancify the tree example (hm, too fancy perhaps?)) |
||

Line 94: | Line 94: | ||

In <hask>replicateM 100 (splitRandom expensiveAction)</hask> There are no RNG-dependencies between the different expensiveActions, so they may be computed in parallel. | In <hask>replicateM 100 (splitRandom expensiveAction)</hask> There are no RNG-dependencies between the different expensiveActions, so they may be computed in parallel. | ||

+ | The following constructs a tree of infinite depth and width: | ||

<haskell> | <haskell> | ||

− | + | import Data.Tree | |

+ | import Data.List | ||

− | makeRandomTree = | + | makeRandomTree = liftM2 Node (getRandomR ('a','z')) (splitRandoms $ repeat makeRandomTree) |

− | + | ||

− | + | ||

− | + | ||

− | + | ||

</haskell> | </haskell> | ||

By removing the RNG-dependencies, infinite random data structures can be constructed lazily. | By removing the RNG-dependencies, infinite random data structures can be constructed lazily. | ||

Line 107: | Line 105: | ||

And for completeness the non-monadic version: | And for completeness the non-monadic version: | ||

<haskell> | <haskell> | ||

− | randomTree g = | + | randomTree g = Node a (map randomTree gs) |

where | where | ||

− | (a, g') = randomR ( | + | (a, g') = randomR ('a','z') g |

− | ( | + | gs = unfoldr (Just . split) g' |

</haskell> | </haskell> | ||

− | Note that the monadic version | + | Note that the monadic version does more split operations, so yields different results. |

## Revision as of 00:06, 19 November 2006

MonadRandom

RandomGen

split

class (MonadRandom m) => MonadRandomSplittable m where splitRandom :: m a -> m a instance (Monad m, RandomGen g) => MonadRandomSplittable (RandomT g m) where splitRandom ma = (RandomT . liftState) split >>= lift . evalRandomT ma

MonadRandomSplittable can then be derived for Rand by GHC:

newtype Rand g a = Rand { unRand :: RandomT g Identity a } deriving (Functor, Monad, MonadRandom, MonadRandomSplittable)

Some potentially useful functions

splitRandoms :: MonadRandomSplittable m => [m a] -> m [a] splitRandoms [] = splitRandom $ return [] splitRandoms (x:xs) = splitRandom $ liftM2 (:) x (splitRandoms xs) getRandoms :: (MonadRandomSplittable m, Random a) => m [a] getRandoms = liftM2 (:) getRandom (splitRandom getRandoms) getRandomRs :: (MonadRandomSplittable m, Random a) => (a, a) -> m [a] getRandomRs b = liftM2 (:) (getRandomR b) (splitRandom (getRandomRs b))

## 1 Example of usage

test :: Rand StdGen [Bool] -> (Int, [Bool], Int) test ma = evalRand (liftM3 (,,) (getRandomR (0,99)) ma (getRandomR (0,99))) (mkStdGen 0)

Then

*MonadRandom> test (replicateM 0 getRandom) (45,[],55) *MonadRandom> test (replicateM 2 getRandom) (45,[True,True],0) *MonadRandom> test (splitRandom $ replicateM 0 getRandom) (45,[],16) *MonadRandom> test (splitRandom $ replicateM 2 getRandom) (45,[False,True],16) *MonadRandom> case test undefined of (a,_,c) -> (a,c) *** Exception: Prelude.undefined *MonadRandom> case test (splitRandom undefined) of (a,_,c) -> (a,c) (45,16)

## 2 Laws

It is not clear to me exactly what lawssplitRandom

ma

mb

liftM3 (\a _ c -> (a,c)) getRandom ma getRandom === liftM3 (\a _ c -> (a,c)) getRandom mb getRandom

For monad transformers, it would also be nice if

splitRandom undefined === splitRandom (return ()) >> lift undefined

For example,

>runIdentity $ runRandomT (splitRandom (return ()) >> lift undefined >> return ()) (mkStdGen 0) ((),40014 2147483398) >runIdentity $ runRandomT (splitRandom undefined >> return ()) (mkStdGen 0) ((),40014 2147483398)

But

>runRandomT (splitRandom (return ()) >> lift undefined >> return ()) (mkStdGen 0) *** Exception: Prelude.undefined >runRandomT (splitRandom undefined >> return ()) (mkStdGen 0) *** Exception: Prelude.undefined

Rand

>runRand (splitRandom undefined >> return ()) (mkStdGen 0) ((),40014 2147483398)

## 3 Why?

InreplicateM 100 (splitRandom expensiveAction)

The following constructs a tree of infinite depth and width:

import Data.Tree import Data.List makeRandomTree = liftM2 Node (getRandomR ('a','z')) (splitRandoms $ repeat makeRandomTree)

By removing the RNG-dependencies, infinite random data structures can be constructed lazily.

And for completeness the non-monadic version:

randomTree g = Node a (map randomTree gs) where (a, g') = randomR ('a','z') g gs = unfoldr (Just . split) g'

Note that the monadic version does more split operations, so yields different results.