https://github.com/absolucy/rand-wyrand

WyRand for Rust's `rand` crate
https://github.com/absolucy/rand-wyrand

Last synced: about 1 month ago
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WyRand for Rust's `rand` crate

• Host: GitHub
• URL: https://github.com/absolucy/rand-wyrand
• Owner: Absolucy
• License: other
• Created: 2022-08-10T23:54:27.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-03-16T18:42:02.000Z (almost 2 years ago)
• Last Synced: 2024-11-20T14:08:00.794Z (about 1 month ago)
• Language: Rust
• Size: 12.7 KB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE-Apache.md

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README

        
# rand-wyrand

This is a library that implements the [WyRand](rand_wyrand::WyRand) PRNG for

the [RngCore](rand_core::RngCore) trait from `rand`. It is completely

`#![no_std]`, and does not require the Rust standard library.

WyRand is an extremely fast, stable, and solid PRNG. While not

cryptographically secure, it still passes the BigCrush and practrand tests,

making it a solid choice for non-secure applications. (Basically, just don't

use it to like, generate cryptographic keys or passwords or whatever)

### Examples

#### Generate random number from 1 to 100

```rust

use rand::{Rng, SeedableRng};

use rand_wyrand::WyRand;

let mut wyrand = WyRand::from_entropy();

let mut bytes = [0_u8; 64];

wyrand.fill(&mut bytes);

println!("Random bytes: {bytes:?}");

```

#### Generate random bytes

```rust

use rand::{Rng, SeedableRng};

use rand_wyrand::WyRand;

let mut wyrand = WyRand::from_entropy();

println!("Random number from 1 to 100: {}", wyrand.gen_range(1..=100));

```

#### Generate random string

```rust

use rand::{distributions::Alphanumeric, Rng, SeedableRng};

use rand_wyrand::WyRand;

let mut wyrand = WyRand::from_entropy();

let rand_string: String = wyrand

	.sample_iter(&Alphanumeric)

	.take(16)

	.map(char::from)

	.collect();

println!("Random string: {rand_string}")

```

### License

`rand-wyrand` is licensed under either the [Apache

License](LICENSE-APACHE.md) or the [MIT License](LICENSE-MIT.md), at your

choice.

License: Apache-2.0 OR MIT

#### Amendment

I, @Absolucy, fully give permission for any of my code (including the entirety of this project, rand-wyrand), anywhere, no matter the license, to be used to train machine learning models intended to be used for general-purpose programming or code analysis.