| distributions |
|
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| lib.rs |
Utilities for random number generation
Rand provides utilities to generate random numbers, to convert them to
useful types and distributions, and some randomness-related algorithms.
# Quick Start
To get you started quickly, the easiest and highest-level way to get
a random value is to use [`random()`]; alternatively you can use
[`thread_rng()`]. The [`Rng`] trait provides a useful API on all RNGs, while
the [`distributions`] and [`seq`] modules provide further
functionality on top of RNGs.
```
use rand::prelude::*;
if rand::random() { // generates a boolean
// Try printing a random unicode code point (probably a bad idea)!
println!("char: {}", rand::random::<char>());
}
let mut rng = rand::thread_rng();
let y: f64 = rng.gen(); // generates a float between 0 and 1
let mut nums: Vec<i32> = (1..100).collect();
nums.shuffle(&mut rng);
```
# The Book
For the user guide and further documentation, please read
[The Rust Rand Book](https://rust-random.github.io/book). |
6644 |
| prelude.rs |
Convenience re-export of common members
Like the standard library's prelude, this module simplifies importing of
common items. Unlike the standard prelude, the contents of this module must
be imported manually:
```
use rand::prelude::*;
# let mut r = StdRng::from_rng(thread_rng()).unwrap();
# let _: f32 = r.gen();
``` |
1284 |
| rng.rs |
[`Rng`] trait |
18954 |
| rngs |
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| seq |
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