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https://github.com/torao/tinymt

🔢 Rust implementation for TinyMT 64/32 - a lightweight variant of the Mersenne Twister PRNG
https://github.com/torao/tinymt

mersenne-twister prng random rust tinymt

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🔢 Rust implementation for TinyMT 64/32 - a lightweight variant of the Mersenne Twister PRNG

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README 

        
# TinyMT



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Rust implementation of TinyMT 64/32 - a lightweight variant of Mersenne Twister PRNG.



This crate is based on the original [TinyMT 1.1.1](https://github.com/MersenneTwister-Lab/TinyMT) @ 9d7ca3c161

implemented in C.



## Features



**TinyMT** is a lightweight variant of **Mersenne Twister** MT19937, a widely used PRNG (pseudo-random number generator). This is useful in the case where you don't need so a long period as MT19937, but need sufficient randomness and speed with less memory.



This algorithm works with only 16B internal state space, which is much smaller than the 2,500B of MT19937. The period is

2¹²⁷-1, it's shorter than MT19937 but sufficient for practical use. The cost to generate one random number

was as fast as 4ns on Intel Core i7-8550U CPU.



This crate provides the following two TinyMT implementations for both `std` and `no_std` environments.



* TinyMT32 (32-bit version) for `u32` and `f32`. This is also defined as [RFC 8682](https://tools.ietf.org/html/rfc8682) by IEFT.

* TinyMT64 (64-bit version) for `u64` and `f64`.



TinyMT32 has also been used for random numbers to control which monsters will hatch in Pokémon.



Note that neither TinyMT nor MT 19937 are cryptographically secure pseudo-random number generators. You shouldn't use them in applications where high security is required, such as the generation of private keys.



## Getting Started



You'll be able to use TinyMT by simply adding the dependency to `Cargo.toml` of your project.



```toml

[dependencies]

rand = "0.8"

tinymt = "1.0"

```



By declaring `tinymt` crate at the beginning of the source code, you can use `TinyMT64` or `TinyMT32` to obtain random numbers.



```rust

extern crate tinymt;



use rand::{Rng, SeedableRng};

use tinymt::{TinyMT64, TinyMT64Seed};



fn main() {

  // from nondeterministic seed

  let mut random = TinyMT64::from_entropy();

  let rn = random.gen_range(0.0..1.0);

  println!("{}", rn);   // => nondeterministic but such that 0.3487526381670172



  // from deterministic seed (reproduction of random number sequence is possible)

  let mut random = TinyMT64::from_seed(TinyMT64Seed::from(0u64));

  let rn = random.gen_range(0.0..1.0);

  println!("{}", rn);   // => 0.5531250908497853

}

```



The `TinyMT64` and `TinyMT32` respectively implement the `rand::RngCore` features that are widely-used PRNG interface in Rust. Note that 64-bit operations for `TinyMT32` will generate 32-bit random numbers two times at once for the compatibility of `RngCore`. You should use `u32` or `f32` random number to achieve the best performance in `TinyMT32`.



### Lower-level API



This crate contains two modules `tinymt::tinymt64` and `tinymt::tinymt32` that have been migrated from the original C implementation. They might be useful if you are familiar with the original C implementation. Also, since they are independent of external libraries, it's able to avoid some conflict problems.



See [the API Reference](https://docs.rs/tinymt) for all functions.



## How to Build



The followings are typical `cargo` commands used to test, verify the quality of TinyMT.



```shell

cargo test

cargo clippy

cargo fmt       # or fmt -- --check

```



## WebAssembly Support



TinyMT is fully available in Rust code targeting WebAssembly (WASM). If `wasmer` is set up in your environment, you can run `cargo test --target wasm32-wasi`. See also [.cargo/config](.cargo/config)



If your target doesn't support WASI, like `wasm32-unknown-unknown`, the entropy-based seeding from OS isn't automatically supported. In this case, you can use TinyMT either by using an application-defined seed without using `from_entropy()`, or if the target supports JS such as a browser, by making `getrandom()` dependent on JS as follow.



```toml

[dependencies]

getrandom = { version = "0.2", features = ["js"] }

```



See [the description of getrandom](https://docs.rs/getrandom/latest/getrandom/#webassembly-support) for more information.



## Histories



* 2023-06-30 (v1.0.9) Add support for WebAssembly.

* 2023-03-15 (v1.0.8) `no-std` available.

* 2022-05-19 (v1.0.7) Migrate the project to 2021 edition.

* 2021-06-12 (v1.0.6) Upgrade `rand` to 0.8.



## Licenses



MIT License



Copyright (c) 2023 Torao Takami



Permission is hereby granted, free of charge, to any person obtaining a copy

of this software and associated documentation files (the "Software"), to deal

in the Software without restriction, including without limitation the rights

to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

copies of the Software, and to permit persons to whom the Software is

furnished to do so, subject to the following conditions:



The above copyright notice and this permission notice shall be included in all

copies or substantial portions of the Software.



THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

SOFTWARE.



## See Also



* [Mersenne Twister Home Page](http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/mt.html)

* [Tiny Mersenne Twister (TinyMT): A small-sized variant of Mersenne Twister](http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/TINYMT/index.html)