| 1 | use std::{ |
| 2 | cell::Cell, |
| 3 | collections::hash_map::DefaultHasher, |
| 4 | hash::Hasher, |
| 5 | num::Wrapping, |
| 6 | sync::atomic::{AtomicUsize, Ordering}, |
| 7 | }; |
| 8 | |
| 9 | // Based on [Fisher–Yates shuffle]. |
| 10 | // |
| 11 | // [Fisher–Yates shuffle]: https://en.wikipedia.org/wiki/Fisher–Yates_shuffle |
| 12 | #[doc (hidden)] |
| 13 | pub fn shuffle<T>(slice: &mut [T]) { |
| 14 | for i: usize in (1..slice.len()).rev() { |
| 15 | slice.swap(a:i, b:gen_index(i + 1)); |
| 16 | } |
| 17 | } |
| 18 | |
| 19 | /// Return a value from `0..n`. |
| 20 | fn gen_index(n: usize) -> usize { |
| 21 | (random() % n as u64) as usize |
| 22 | } |
| 23 | |
| 24 | /// Pseudorandom number generator based on [xorshift*]. |
| 25 | /// |
| 26 | /// [xorshift*]: https://en.wikipedia.org/wiki/Xorshift#xorshift* |
| 27 | fn random() -> u64 { |
| 28 | std::thread_local! { |
| 29 | static RNG: Cell<Wrapping<u64>> = Cell::new(Wrapping(prng_seed())); |
| 30 | } |
| 31 | |
| 32 | fn prng_seed() -> u64 { |
| 33 | static COUNTER: AtomicUsize = AtomicUsize::new(0); |
| 34 | |
| 35 | // Any non-zero seed will do |
| 36 | let mut seed = 0; |
| 37 | while seed == 0 { |
| 38 | let mut hasher = DefaultHasher::new(); |
| 39 | hasher.write_usize(COUNTER.fetch_add(1, Ordering::Relaxed)); |
| 40 | seed = hasher.finish(); |
| 41 | } |
| 42 | seed |
| 43 | } |
| 44 | |
| 45 | RNG.with(|rng| { |
| 46 | let mut x = rng.get(); |
| 47 | debug_assert_ne!(x.0, 0); |
| 48 | x ^= x >> 12; |
| 49 | x ^= x << 25; |
| 50 | x ^= x >> 27; |
| 51 | rng.set(x); |
| 52 | x.0.wrapping_mul(0x2545_f491_4f6c_dd1d) |
| 53 | }) |
| 54 | } |
| 55 | |