pcg-random-0.1.3.1: 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
Safe HaskellNone
LanguageHaskell2010

System.Random.PCG.Class

Contents

Description

Classes for working with random numbers along with utility functions. In a future release this module may disappear and use another module for this functionality.

Synopsis

Classes

class Monad m => Generator g m where Source

Methods

uniform1 :: (Word32 -> a) -> g -> m a Source

uniform2 :: (Word32 -> Word32 -> a) -> g -> m a Source

uniform1B :: Integral a => (Word32 -> a) -> Word32 -> g -> m a Source

Instances

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

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.

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

Utilities

sysRandom :: IO Word64 Source

Generate a random number using System.Entropy.

Use RDRAND if available and XOR with /dev/urandom on Unix and CryptAPI on Windows. This entropy is considered cryptographically secure but not true entropy.