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use std::cell::Cell; /// Fast random number generate /// /// Implement xorshift64+: 2 32-bit xorshift sequences added together. /// Shift triplet [17,7,16] was calculated as indicated in Marsaglia's /// Xorshift paper: https://www.jstatsoft.org/article/view/v008i14/xorshift.pdf /// This generator passes the SmallCrush suite, part of TestU01 framework: /// http://simul.iro.umontreal.ca/testu01/tu01.html #[derive(Debug)] pub(crate) struct FastRand { one: Cell<u32>, two: Cell<u32>, } impl FastRand { /// Initialize a new, thread-local, fast random number generator. pub(crate) fn new(seed: u64) -> FastRand { let one = (seed >> 32) as u32; let mut two = seed as u32; if two == 0 { // This value cannot be zero two = 1; } FastRand { one: Cell::new(one), two: Cell::new(two), } } pub(crate) fn fastrand_n(&self, n: u32) -> u32 { // This is similar to fastrand() % n, but faster. // See https://lemire.me/blog/2016/06/27/a-fast-alternative-to-the-modulo-reduction/ let mul = (self.fastrand() as u64).wrapping_mul(n as u64); (mul >> 32) as u32 } fn fastrand(&self) -> u32 { let mut s1 = self.one.get(); let s0 = self.two.get(); s1 ^= s1 << 17; s1 = s1 ^ s0 ^ s1 >> 7 ^ s0 >> 16; self.one.set(s0); self.two.set(s1); s0.wrapping_add(s1) } } // Used by the select macro and `StreamMap` #[cfg(any(feature = "macros", feature = "stream"))] #[doc(hidden)] #[cfg_attr(not(feature = "macros"), allow(unreachable_pub))] pub fn thread_rng_n(n: u32) -> u32 { thread_local! { static THREAD_RNG: FastRand = FastRand::new(crate::loom::rand::seed()); } THREAD_RNG.with(|rng| rng.fastrand_n(n)) }