pcg-random-0.1.3.0: Haskell bindings to the PCG random number generator.

CopyrightCopyright (c) 2014-2015, Christopher Chalmers <c.chalmers@me.com>
LicenseBSD3
MaintainerChristopher Chalmers <c.chalmers@me.com>
Stabilityexperimental
PortabilityCPP, FFI
Safe HaskellNone
LanguageHaskell2010

System.Random.PCG.Fast

Contents

Description

Fast variant of the PCG random number generator. This module performs around 20% faster than the multiple streams version but produces slightly lower quality (still good) random numbers.

See http://www.pcg-random.org for details.

import Control.Monad.ST
import System.Random.PCG.Fast

three :: [Double]
three = runST $ do
  g <- create
  a <- uniform g
  b <- uniform g
  c <- uniform g
  return [a,b,c]

Synopsis

Gen

data Gen s Source

State of the random number generator

Instances

Eq (Gen s) Source 
Ord (Gen s) Source 
(PrimMonad m, (~) * s (PrimState m)) => Generator (Gen s) m Source 

create :: PrimMonad m => m (Gen (PrimState m)) Source

Create a Gen from a fixed initial seed.

createSystemRandom :: IO GenIO Source

Seed a PRNG with data from the system's fast source of pseudo-random numbers. All the caveats of withSystemRandom apply here as well.

initialize :: PrimMonad m => Word64 -> m (Gen (PrimState m)) Source

Initialize a generator a single word.

>>> initialize 0 >>= save
FrozenGen 1

withSystemRandom :: (GenIO -> IO a) -> IO a Source

Seed with system random number. ("/dev/urandom" on Unix-like systems, time otherwise).

Getting random numbers

class Variate a where Source

Methods

uniform :: Generator g m => g -> m a Source

Generate a uniformly distributed random vairate.

  • Use entire range for integral types.
  • Use (0,1] range for floating types.

uniformR :: Generator g m => (a, a) -> g -> m a Source

Generate a uniformly distributed random vairate in the given range.

  • Use inclusive range for integral types.
  • Use (a,b] range for floating types.

uniformB :: Generator g m => a -> g -> m a Source

Generate a uniformly distributed random vairate in the range [0,b). For integral types the bound must be less than the max bound of Word32 (4294967295). Behaviour is undefined for negative bounds.

advance :: PrimMonad m => Word64 -> Gen (PrimState m) -> m () Source

Advance the given generator n steps in log(n) time. (Note that a "step" is a single random 32-bit (or less) Variate. Data types such as Double or Word64 require two "steps".)

>>> create >>= \g -> replicateM_ 1000 (uniformW32 g) >> uniformW32 g
3725702568
>>> create >>= \g -> replicateM_ 500 (uniformD g) >> uniformW32 g
3725702568
>>> create >>= \g -> advance 1000 g >> uniformW32 g
3725702568

retract :: PrimMonad m => Word64 -> Gen (PrimState m) -> m () Source

Retract the given generator n steps in log(2^64-n) time. This is just advance (-n).

>>> create >>= \g -> replicateM 3 (uniformW32 g)
[2951688802,2698927131,361549788]
>>> create >>= \g -> retract 1 g >> replicateM 3 (uniformW32 g)
[954135925,2951688802,2698927131]

Seeds

data FrozenGen Source

Immutable state of a random number generator. Suitable for storing for later use.

save :: PrimMonad m => Gen (PrimState m) -> m FrozenGen Source

Save the state of a Gen in a Seed.

restore :: PrimMonad m => FrozenGen -> m (Gen (PrimState m)) Source

Restore a Gen from a Seed.

seed :: FrozenGen Source

Standard initial seed.

initFrozen :: Word64 -> FrozenGen Source

Generate a new seed using single Word64.

>>> initFrozen 0
FrozenGen 1

Type restricted versions

uniform

uniformW8 :: Generator g m => g -> m Word8 Source

uniformI8 :: Generator g m => g -> m Int8 Source

uniformI16 :: Generator g m => g -> m Int16 Source

uniformI32 :: Generator g m => g -> m Int32 Source

uniformI64 :: Generator g m => g -> m Int64 Source

uniformF :: Generator g m => g -> m Float Source

uniformD :: Generator g m => g -> m Double Source

uniformBool :: Generator g m => g -> m Bool Source

uniformR

uniformRW8 :: Generator g m => (Word8, Word8) -> g -> m Word8 Source

uniformRI8 :: Generator g m => (Int8, Int8) -> g -> m Int8 Source

uniformRI16 :: Generator g m => (Int16, Int16) -> g -> m Int16 Source

uniformRI32 :: Generator g m => (Int32, Int32) -> g -> m Int32 Source

uniformRI64 :: Generator g m => (Int64, Int64) -> g -> m Int64 Source

uniformRF :: Generator g m => (Float, Float) -> g -> m Float Source

uniformRD :: Generator g m => (Double, Double) -> g -> m Double Source

uniformRBool :: Generator g m => (Bool, Bool) -> g -> m Bool Source

uniformB

uniformBW8 :: Generator g m => Word8 -> g -> m Word8 Source

uniformBI8 :: Generator g m => Int8 -> g -> m Int8 Source

uniformBI16 :: Generator g m => Int16 -> g -> m Int16 Source

uniformBI32 :: Generator g m => Int32 -> g -> m Int32 Source

uniformBI64 :: Generator g m => Int64 -> g -> m Int64 Source

uniformBF :: Generator g m => Float -> g -> m Float Source

uniformBD :: Generator g m => Double -> g -> m Double Source

uniformBBool :: Generator g m => Bool -> g -> m Bool Source