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1. randomRs :: (Random a, RandomGen g) => (a, a) -> g -> [a]

   tf-random	System.Random.TF.Instances

   No documentation available.

2. randoms :: (Random a, RandomGen g) => g -> [a]

   tf-random	System.Random.TF.Instances

   No documentation available.

3. randomDouble :: PureMT -> (Double, PureMT)

   mersenne-random-pure64	System.Random.Mersenne.Pure64

   Efficiently yield a new 53-bit precise Double value, and a new generator.

4. randomInt :: PureMT -> (Int, PureMT)

   mersenne-random-pure64	System.Random.Mersenne.Pure64

   Yield a new Int value from the generator, returning a new generator and that Int. The full 64 bits will be used on a 64 bit machine.

5. randomInt64 :: PureMT -> (Int64, PureMT)

   mersenne-random-pure64	System.Random.Mersenne.Pure64

   Yield a new Int64 value from the generator, returning a new generator and that Int64.

6. randomWord :: PureMT -> (Word, PureMT)

   mersenne-random-pure64	System.Random.Mersenne.Pure64

   Yield a new Word value from the generator, returning a new generator and that Word.

7. randomWord64 :: PureMT -> (Word64, PureMT)

   mersenne-random-pure64	System.Random.Mersenne.Pure64

   Yield a new Word64 value from the generator, returning a new generator and that Word64.

8. randomIO :: MTRandom a => IO a

   mersenne-random	System.Random.Mersenne

   A variant of random that uses the global random number generator (see System.Random#globalrng). Essentially a convenience function if you're already in IO. Note that there are performance penalties calling randomIO in an inner loop, rather than random applied to a global generator. The cost comes in retrieving the random gen from an IORef, which is non-trivial. Expect a 3x slow down in speed of random generation.

9. randoms :: MTRandom a => MTGen -> IO [a]

   mersenne-random	System.Random.Mersenne

   Plural variant of random, producing an infinite list of random values instead of returning a new generator.

10. getStdRandom :: MonadIO m => (StdGen -> (a, StdGen)) -> m a

    random	System.Random

    Uses the supplied function to get a value from the current global random generator, and updates the global generator with the new generator returned by the function. For example, rollDice produces a pseudo-random integer between 1 and 6:

    >>> rollDice = getStdRandom (randomR (1, 6))
    
    >>> replicateM 10 (rollDice :: IO Int)
    [5,6,6,1,1,6,4,2,4,1]
    

    This is an outdated function and it is recommended to switch to its equivalent applyAtomicGen instead, possibly with the globalStdGen if relying on the global state is acceptable.

    >>> import System.Random.Stateful
    
    >>> rollDice = applyAtomicGen (uniformR (1, 6)) globalStdGen
    
    >>> replicateM 10 (rollDice :: IO Int)
    [4,6,1,1,4,4,3,2,1,2]
    

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