fix!: make the Time generic reachable

`History<T: Time, ..>` has always been generic over the time axis,
`Untimed` has always been exported, and `Drift<T>` is generic specifically
so that "seasonal or calendar-aware drift is expressible without going
through i64". None of it was reachable from a downstream crate.

Every construction route pinned `T = i64`: `History::builder()`,
`History::builder_with_key()`, and the only `Default` impl on
`HistoryBuilder`. Its fields are private and it had no `new`. So all three
escape routes failed to compile, and a consumer with domain timestamps
had to convert to i64 — which is the exact thing the parameter exists to
avoid. One of `History`'s four type parameters was paid for at every
signature and could never be varied.

`Default` is now generic over `T` and `K`, `HistoryBuilder::new()` exists,
and `time_type::<T2>()` / `key_type::<K2>()` join `drift` and `observer`
as type-changing setters:

    History::builder().time_type::<Untimed>().build()
    History::builder().key_type::<String>().build()
    HistoryBuilder::<Season, _, _, String>::new().build()

`key_type` replaces `builder_with_key`, which could not be turbofished —
`K` sat on the impl rather than the function, so callers had to spell
`History::<i64, _, _, String>::builder_with_key()`. 18 call sites across
15 files migrated.

tests/time_axis.rs is the part that matters. NOTHING in the repository
constructed a non-i64 history, which is precisely why this survived, so
the fix is only half done without a test that exercises the generic. It
defines a `Season(u16)` time type and a `SeasonalDrift` that accumulates
between seasons but not within one — the calendar-aware case the trait's
docs cite — and checks the whole path: fit, converge, and read a learning
curve whose times come back as `Season`, not as integers.

Two of the six tests are controls rather than assertions about output.
`Untimed` must ignore drift entirely, since elapsed is always zero, so
gamma 0.0 and gamma 5.0 must agree bit for bit. And a custom `Drift` must
actually widen a gap across seasons, or the test above would pass whether
or not the drift was consulted at all.

The README's ticked "Generalise a time axis" box is now true.

BREAKING CHANGE: `History::builder_with_key()` is removed. Use
`History::builder().key_type::<K>()`.

Closes #68

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011hcFjNDmHXZF8URGLku5zZ
This commit is contained in:
2026-09-09 20:19:16 +02:00
co-authored by Claude Opus 5
parent 0ab56248bb
commit dc1f4d5847
16 changed files with 286 additions and 38 deletions
+152
View File
@@ -0,0 +1,152 @@
//! The `Time` generic, exercised end to end.
//!
//! `History<T: Time, ..>` has always been generic over the time axis, `Untimed`
//! has always been exported, and `Drift<T>` is generic specifically so that
//! "seasonal or calendar-aware drift is expressible without going through
//! `i64`". None of it was reachable: every construction route pinned `T = i64`,
//! `HistoryBuilder`'s fields are private, and its `Default` existed only for the
//! `i64` instantiation.
//!
//! Nothing in the repository constructed a non-`i64` history, which is why that
//! went unnoticed. This file is the guard against it recurring — it is as much
//! about the generic being *exercised* as about any single assertion.
use trueskill_tt::{ConstantDrift, Drift, History, HistoryBuilder, Time, Untimed};
/// A domain time type: a season number. Exactly what the `Time` trait exists
/// to support, and what a consumer with `chrono` dates would write.
#[derive(Copy, Clone, Debug, PartialEq, Eq, PartialOrd, Ord)]
struct Season(u16);
impl Time for Season {
fn elapsed_to(&self, later: &Self) -> i64 {
i64::from(later.0.saturating_sub(self.0))
}
}
/// Drift that only accumulates between seasons, not within one — the
/// calendar-aware case the trait's own docs cite.
#[derive(Copy, Clone, Debug)]
struct SeasonalDrift {
per_season: f64,
}
impl Drift<Season> for SeasonalDrift {
fn variance_delta(&self, from: &Season, to: &Season) -> f64 {
self.variance_for_elapsed(from.elapsed_to(to))
}
fn variance_for_elapsed(&self, elapsed: i64) -> f64 {
elapsed.max(0) as f64 * self.per_season * self.per_season
}
}
#[test]
fn an_untimed_history_fits_through_the_builder() {
let mut h = History::builder().time_type::<Untimed>().build();
for _ in 0..5 {
h.record_winner(&"alice", &"bob", Untimed).unwrap();
}
assert!(h.converge().unwrap().converged);
let alice = h.current_skill(&"alice").unwrap();
let bob = h.current_skill(&"bob").unwrap();
assert!(alice.mu() > bob.mu(), "{alice:?} vs {bob:?}");
assert!(alice.sigma().is_finite() && alice.sigma() > 0.0);
}
/// `Untimed::elapsed_to` is always 0, so no drift accumulates however many
/// events there are. That is the property the type exists for, and it had never
/// been checked.
#[test]
fn untimed_accumulates_no_drift() {
fn final_sigma<T: Time + Copy>(time: T, drift: ConstantDrift) -> f64 {
let mut h = History::builder().time_type::<T>().drift(drift).build();
for _ in 0..8 {
h.record_winner(&"a", &"b", time).unwrap();
}
let _ = h.converge().unwrap();
h.current_skill(&"a").unwrap().sigma()
}
// Under Untimed the drift setting cannot matter, because elapsed is always 0.
let none = final_sigma(Untimed, ConstantDrift::new(0.0));
let large = final_sigma(Untimed, ConstantDrift::new(5.0));
assert_eq!(
none.to_bits(),
large.to_bits(),
"Untimed must ignore drift entirely: {none} vs {large}"
);
}
#[test]
fn a_custom_time_type_and_a_custom_drift_work_together() {
let mut h = History::builder()
.time_type::<Season>()
.drift(SeasonalDrift { per_season: 0.5 })
.build();
for season in 1..=4u16 {
for _ in 0..3 {
h.record_winner(&"veteran", &"rookie", Season(season))
.unwrap();
}
}
assert!(h.converge().unwrap().converged);
let curve = h.learning_curve(&"veteran");
assert_eq!(curve.len(), 4, "one point per season: {curve:?}");
for (season, g) in &curve {
assert!(
g.mu().is_finite() && g.sigma() > 0.0,
"season {season:?}: {g:?}"
);
}
// Times come back as the domain type, not as an integer.
assert_eq!(curve[0].0, Season(1));
assert_eq!(curve[3].0, Season(4));
}
/// Seasonal drift must actually widen a gap across seasons — otherwise the
/// custom `Drift` is being ignored and the test above would pass regardless.
#[test]
fn a_custom_drift_is_actually_consulted() {
fn sigma_with(per_season: f64) -> f64 {
let mut h = History::builder()
.time_type::<Season>()
.drift(SeasonalDrift { per_season })
.build();
for season in 1..=6u16 {
h.record_winner(&"a", &"b", Season(season)).unwrap();
}
let _ = h.converge().unwrap();
h.current_skill(&"a").unwrap().sigma()
}
let still = sigma_with(0.0);
let drifting = sigma_with(2.0);
assert!(
drifting > still * 1.05,
"a drifting fit must be less certain: {drifting} vs {still}"
);
}
/// The other axis: a custom key type, through the same mechanism.
#[test]
fn key_type_replaces_builder_with_key() {
let mut h = History::builder().key_type::<String>().build();
h.record_winner(&"alice".to_string(), &"bob".to_string(), 1)
.unwrap();
assert!(h.converge().unwrap().converged);
assert!(h.current_skill("alice").is_some());
}
/// Both axes at once, via the explicit constructor rather than the setters.
#[test]
fn new_constructs_on_any_axis_directly() {
let mut h = HistoryBuilder::<Season, _, _, String>::new().build();
h.record_winner(&"a".to_string(), &"b".to_string(), Season(7))
.unwrap();
assert!(h.converge().unwrap().converged);
assert_eq!(h.learning_curve("a")[0].0, Season(7));
}