Crypto.Random

ChaCha Deterministic Random Generator

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.

Create a new Seed from system entropy

Convert an integer to a Seed

Convert a Seed to an integer

Convert a binary to a seed

Grab one instance of the System DRG

Create a new DRG from system entropy

Create a new DRG from a seed

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.

Note that the Arbitrary instance provided by QuickCheck for Word64 does not have a uniform distribution. It is often better to use instead arbitraryBoundedRandom.

System endianness impacts how the tuple is interpreted and therefore changes the resulting DRG.

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

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

This is equivalent to use Control.Arrow first with randomBytesGenerate

A Deterministic Random Generator (DRG) class

A monad constraint that allows to generate random bytes

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