Files
trueskill-tt/tests/determinism.rs
Anders Olsson cbf652eb1d test: assert bit-identical posteriors across RAYON_NUM_THREADS
tests/determinism.rs runs the same deterministic 200-event history
at thread counts {1, 2, 4, 8} via rayon::ThreadPoolBuilder::install
and asserts every (time, posterior) pair has bit-identical mu and
sigma across all configurations.

Cfg-gated to the rayon feature; no-op under --features approx alone.

Verifies the T3 determinism invariant that the ordered-reduce
strategy (per-slice parallel, sequential sum) produces thread-count-
independent results.

Part of T3.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:59:33 +02:00

101 lines
3.3 KiB
Rust

//! Determinism tests: identical posteriors across RAYON_NUM_THREADS
//! values. Only compiled with the `rayon` feature.
#![cfg(feature = "rayon")]
use smallvec::smallvec;
use trueskill_tt::{ConstantDrift, ConvergenceOptions, Event, History, Member, Outcome, Team};
/// Build a deterministic workload using a simple LCG (no external rand crate).
fn build_and_converge(seed: u64) -> Vec<(i64, trueskill_tt::Gaussian)> {
let mut h = History::<i64, _, _, String>::builder_with_key()
.mu(25.0)
.sigma(25.0 / 3.0)
.beta(25.0 / 6.0)
.drift(ConstantDrift(25.0 / 300.0))
.convergence(ConvergenceOptions {
max_iter: 30,
epsilon: 1e-6,
})
.build();
// LCG for deterministic pseudo-random ints.
let mut rng = seed;
let mut next = || {
rng = rng
.wrapping_mul(6364136223846793005)
.wrapping_add(1442695040888963407);
rng
};
let mut events: Vec<Event<i64, String>> = Vec::with_capacity(200);
for ev_i in 0..200 {
let a = (next() % 40) as usize;
let mut b = (next() % 40) as usize;
while b == a {
b = (next() % 40) as usize;
}
// ~10 events per slice so color groups have material parallelism.
events.push(Event {
time: (ev_i as i64 / 10) + 1,
teams: smallvec![
Team::with_members([Member::new(format!("p{a}"))]),
Team::with_members([Member::new(format!("p{b}"))]),
],
outcome: Outcome::winner((next() % 2) as u32, 2),
});
}
h.add_events(events).unwrap();
h.converge().unwrap();
// Sample one competitor's curve for the comparison.
h.learning_curve("p0")
}
#[test]
fn posteriors_identical_across_thread_counts() {
let sizes = [1usize, 2, 4, 8];
let mut results: Vec<Vec<(i64, trueskill_tt::Gaussian)>> = Vec::new();
for &n in &sizes {
let pool = rayon::ThreadPoolBuilder::new()
.num_threads(n)
.build()
.expect("rayon pool build");
let curve = pool.install(|| build_and_converge(42));
results.push(curve);
}
let reference = &results[0];
for (i, curve) in results.iter().enumerate().skip(1) {
assert_eq!(
curve.len(),
reference.len(),
"curve length differs at {n} threads",
n = sizes[i],
);
for (j, (&(t_ref, g_ref), &(t, g))) in reference.iter().zip(curve.iter()).enumerate() {
assert_eq!(
t_ref,
t,
"time point {j} differs at {n} threads: ref={t_ref} vs got={t}",
n = sizes[i],
);
assert_eq!(
g_ref.mu().to_bits(),
g.mu().to_bits(),
"mu bits differ at {n} threads, time {t}: ref={ref_mu} got={got_mu}",
n = sizes[i],
ref_mu = g_ref.mu(),
got_mu = g.mu(),
);
assert_eq!(
g_ref.sigma().to_bits(),
g.sigma().to_bits(),
"sigma bits differ at {n} threads, time {t}: ref={ref_sigma} got={got_sigma}",
n = sizes[i],
ref_sigma = g_ref.sigma(),
got_sigma = g.sigma(),
);
}
}
}