
One time I needed to do use a random number in some places of a completly
pure program so I made a infinite list of random numbers and passed it
around all the time in the functions as they where called, using the head of
the list I passed to the function whenever I needed a random number and
returning a tuple which it's second element was the tail of the random
numbers list e.g.
f:: [int] -> (a,[Int])
f randomList =
let usedRandomNumber = g $ head randomList
in (usedRandomNumber,(tail randomList))
or even something like:
f:: [int] -> (a,[Int])
f randomList =
let (usedRandomNumber,newRandomList) = g randomList
in (usedRandomNumber,newRandomList)
where g:: [int] -> (a,[Int])
The actuall code for doing this is: (Warning, it uses unsafePerformIO, just
for the seed of the random Generator, I really don't think it would do any
harm)
rand :: (RandomGen g, Random a) => (a,a) -> g -> [a]
rand range gen = as
where (a,b) = split gen -- create two separate generators
as = randomRs range a -- one infinite list of randoms
seed :: Int
seed = fromInteger (unsafePerformIO getCPUTime)
mygen = mkStdGen seed
infinito:: (Num t,Random t) => [t]
infinito = [ x | x <- rand (1,1000000) mygen]
infinito is the function that you need to call in your code that will give
you the infinite list of random numbers which will be evaluated lazyly...
Hope you can use this...
About the prompt thing, that you'll have to wait for another answer or use
what they have already told you,
Greetings,
Hector Guilarte
On Mon, Nov 30, 2009 at 8:13 PM, Eric Dedieu
Still more importantly to me, I understand that anyhow if I intend to use IO or random numbers, I must design my strategy from the beginning as "encapsulated in a monad". Something like:
class (Monad m) => Strategy m a where ...
That's not true at all, you can always pass this data to your strategy entry points and let haskell get it lazily, though it is not as intuitive as other aproaches,
That seems exactly what I had tried to do (and failed) in my original code.
The Fixed type was to provide the list of moves:
data Fixed = Fixed [Move] deriving Show
and instanciate a strategy that ignores the game to make decisions, just return the provided moves, then zeroes if ever exhausted:
instance Strategy Fixed where proposeNext game s = case s of Fixed [] -> (0, Fixed []) Fixed (x:xs) -> (x, Fixed xs)
but when using an IO Fixed, the questions were not repeated lazily as needed, as if the list of moves was entirely evaluated; so this failed:
askUntil :: String -> IO Fixed askUntil name = liftM Fixed (sequence $ repeat askio) where askio = putStr (name ++ ", pick a number: ") >> readLn
I thought that sequencing [IO Move] to IO [Move] was what breaked lazyness, so I tried other ways to turn an [IO Move] into a IO Strategy, and failed.
If I did not interpret correctly why this was not lazy, or if it is indeed possible to do otherwise can you please show me how?
Thanks, Eric _______________________________________________ Haskell-Cafe mailing list Haskell-Cafe@haskell.org http://www.haskell.org/mailman/listinfo/haskell-cafe