cryptonite-0.22: Cryptography Primitives sink

LicenseBSD-style
MaintainerVincent Hanquez <vincent@snarc.org>
Stabilitystable
Portabilitygood
Safe HaskellNone
LanguageHaskell2010

Crypto.Random

Contents

Description

 

Synopsis

Deterministic instances

data ChaChaDRG Source #

ChaCha Deterministic Random Generator

Instances

NFData ChaChaDRG Source # 

Methods

rnf :: ChaChaDRG -> () #

DRG ChaChaDRG Source # 

Methods

randomBytesGenerate :: ByteArray byteArray => Int -> ChaChaDRG -> (byteArray, ChaChaDRG) Source #

data SystemDRG Source #

A referentially transparent System representation of the random evaluated out of the system.

Holding onto a specific DRG means that all the already evaluated bytes will be consistently replayed.

There's no need to reseed this DRG, as only pure entropy is represented here.

Instances

DRG SystemDRG Source # 

Methods

randomBytesGenerate :: ByteArray byteArray => Int -> SystemDRG -> (byteArray, SystemDRG) Source #

data Seed Source #

Instances

ByteArrayAccess Seed Source # 

Methods

length :: Seed -> Int #

withByteArray :: Seed -> (Ptr p -> IO a) -> IO a #

Seed

seedNew :: MonadRandom randomly => randomly Seed Source #

Create a new Seed from system entropy

seedFromInteger :: Integer -> Seed Source #

Convert an integer to a Seed

seedToInteger :: Seed -> Integer Source #

Convert a Seed to an integer

Deterministic Random class

getSystemDRG :: IO SystemDRG Source #

Grab one instance of the System DRG

drgNew :: MonadRandom randomly => randomly ChaChaDRG Source #

Create a new DRG from system entropy

drgNewSeed :: Seed -> ChaChaDRG Source #

Create a new DRG from a seed

drgNewTest :: (Word64, Word64, Word64, Word64, Word64) -> ChaChaDRG Source #

Create a new DRG from 5 Word64.

This is a convenient interface to create deterministic interface for quickcheck style testing.

It can also be used in other contexts provided the input has been properly randomly generated.

withDRG :: DRG gen => gen -> MonadPseudoRandom gen a -> (a, gen) Source #

Run a pure computation with a Deterministic Random Generator in the MonadPseudoRandom

withRandomBytes :: (ByteArray ba, DRG g) => g -> Int -> (ba -> a) -> (a, g) Source #

Generate len random bytes and mapped the bytes to the function f.

This is equivalent to use Control.Arrow first with randomBytesGenerate

class DRG gen where Source #

A Deterministic Random Generator (DRG) class

Minimal complete definition

randomBytesGenerate

Methods

randomBytesGenerate :: ByteArray byteArray => Int -> gen -> (byteArray, gen) Source #

Generate N bytes of randomness from a DRG

Instances

DRG SystemDRG Source # 

Methods

randomBytesGenerate :: ByteArray byteArray => Int -> SystemDRG -> (byteArray, SystemDRG) Source #

DRG ChaChaDRG Source # 

Methods

randomBytesGenerate :: ByteArray byteArray => Int -> ChaChaDRG -> (byteArray, ChaChaDRG) Source #

Random abstraction

class (Functor m, Monad m) => MonadRandom m where Source #

A monad constraint that allows to generate random bytes

Minimal complete definition

getRandomBytes

Methods

getRandomBytes :: ByteArray byteArray => Int -> m byteArray Source #

Instances

MonadRandom IO Source # 

Methods

getRandomBytes :: ByteArray byteArray => Int -> IO byteArray Source #

DRG gen => MonadRandom (MonadPseudoRandom gen) Source # 

Methods

getRandomBytes :: ByteArray byteArray => Int -> MonadPseudoRandom gen byteArray Source #

data MonadPseudoRandom gen a Source #

A simple Monad class very similar to a State Monad with the state being a DRG.

Instances

DRG gen => Monad (MonadPseudoRandom gen) Source # 
DRG gen => Functor (MonadPseudoRandom gen) Source # 

Methods

fmap :: (a -> b) -> MonadPseudoRandom gen a -> MonadPseudoRandom gen b #

(<$) :: a -> MonadPseudoRandom gen b -> MonadPseudoRandom gen a #

DRG gen => Applicative (MonadPseudoRandom gen) Source # 
DRG gen => MonadRandom (MonadPseudoRandom gen) Source # 

Methods

getRandomBytes :: ByteArray byteArray => Int -> MonadPseudoRandom gen byteArray Source #