Exponential distribution based on [inversion method](https://en.wikipedia.org/wiki/Inverse_transform_sampling).

See the [wiki article](https://en.wikipedia.org/wiki/Exponential_distribution).

Factory to create the distribution.

Proxy for kixi-stats distributions.

See the [github repo](https://github.com/MastodonC/kixi.stats).

`(registry)` returns all distributions available in `automaton-optimization`.

They are all implementing the `automaton-optimization.proba.distribution/Distribution` protocol.
Note that you can enrich them with your own distribution implementations if needed.

An uniform distribution, returning a double between `a` and `b`.

An uniform distribution of integers.

PRNG implementation built-in in your platform.

A stateful prng definition.

Statefulness is important to ensure:
* Each call to `rnd` is modifying the state of the prng.
* it is thread safe to use.

Creates a stateful prng based on a stateless one.

Implements PRNG without state.

Use this protocol to wrap some stateless implementations of a `prng`.
To use prng implementing protocol, wraps it again with `PrngStatefulImpl`.

Prng tests.

Adapted from `https://github.com/hugoduncan/criterium/blob/develop/src/criterium/well.clj`.

PRNG stateless implementation based on `xoroshoshiro128` algorithm.

See [xoroshiro128 repo](https://github.com/thedavidmeister/xoroshiro128] for more details.

A sample data stored in memory - a vector.