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

tests/convergence_strictness.rs

@@ -107,7 +107,8 @@ fn the_two_agree_on_a_converged_fit() {
 /// At the old value of 30 this history stopped short and said nothing.
 #[test]
 fn the_default_cap_clears_an_ordinary_history() {
-    let mut h: History<i64, ConstantDrift, _, String> = History::builder_with_key()
+    let mut h: History<i64, ConstantDrift, _, String> = History::builder()
+        .key_type::<String>()
         .mu(0.0)
         .sigma(6.0)
         .beta(1.0)

tests/cross_process_determinism.rs

@@ -27,7 +27,8 @@ const RUNS: usize = 40;
 type H = History<i64, ConstantDrift, NullObserver, String>;
 
 fn fitted() -> H {
-    let mut h: H = History::builder_with_key()
+    let mut h: H = History::builder()
+        .key_type::<String>()
         .mu(0.0)
         .sigma(6.0)
         .beta(1.0)

tests/degenerate_inputs.rs

@@ -126,8 +126,10 @@ fn empty_history_converges_trivially() {
 /// indexed out of bounds in release, so this must run in both profiles.
 #[test]
 fn converge_on_an_empty_history_with_owned_keys() {
-    let mut history: History<i64, ConstantDrift, NullObserver, String> =
-        History::builder_with_key().score_sigma(5.0).build();
+    let mut history: History<i64, ConstantDrift, NullObserver, String> = History::builder()
+        .key_type::<String>()
+        .score_sigma(5.0)
+        .build();
 
     let report = history.converge().unwrap();
 

tests/determinism.rs

@@ -39,7 +39,8 @@ struct Fingerprint {
 }
 
 fn build_and_converge() -> Fingerprint {
-    let mut h = History::<i64, _, _, String>::builder_with_key()
+    let mut h = History::builder()
+        .key_type::<String>()
         .mu(25.0)
         .sigma(25.0 / 3.0)
         .beta(25.0 / 6.0)

tests/ingestion_equivalence.rs

@@ -47,8 +47,10 @@ fn configured_event(a: &str, b: &str, time: i64, scale: f64) -> Event<i64, Strin
 }
 
 fn converged_skills(events: Vec<Event<i64, String>>, batched: bool) -> Vec<(String, Gaussian)> {
-    let mut h: History<i64, _, _, String> =
-        History::builder_with_key().convergence(tight()).build();
+    let mut h: History<i64, _, _, String> = History::builder()
+        .key_type::<String>()
+        .convergence(tight())
+        .build();
 
     if batched {
         h.add_events(events).unwrap();

tests/joint_handle.rs

@@ -279,7 +279,8 @@ fn unseen_competitors_match_the_one_shot_path() {
 #[test]
 fn a_drift_too_small_to_represent_collapses_rather_than_corrupting() {
     fn variance(scale: f64) -> f64 {
-        let mut h: History<i64, ConstantDrift, _, String> = History::builder_with_key()
+        let mut h: History<i64, ConstantDrift, _, String> = History::builder()
+            .key_type::<String>()
             .mu(0.0)
             .sigma(6.0)
             .beta(1.0)

tests/large_history_converges_finite.rs

@@ -24,7 +24,8 @@ impl Lcg {
 }
 
 fn nan_after_fit(players: usize) -> usize {
-    let mut h: History<i64, ConstantDrift, NullObserver, String> = History::builder_with_key()
+    let mut h: History<i64, ConstantDrift, NullObserver, String> = History::builder()
+        .key_type::<String>()
         .beta(1.0)
         .sigma(6.0)
         .drift(ConstantDrift::new(0.1))

tests/marginal_calibration.rs

@@ -322,7 +322,8 @@ fn cost_scaling() {
     use std::time::Instant;
     for n in [50usize, 100, 200, 400, 800] {
         let names: Vec<String> = (0..n).map(|i| format!("c{i}")).collect();
-        let mut h: History<i64, _, _, String> = History::builder_with_key()
+        let mut h: History<i64, _, _, String> = History::builder()
+            .key_type::<String>()
             .score_sigma(2.0)
             .drift(ConstantDrift::new(0.0))
             .convergence(ConvergenceOptions {

tests/reconvergence_equivalence.rs

@@ -35,8 +35,10 @@ fn ev(a: &str, b: &str, time: i64) -> Event<i64, String> {
 
 /// Ingest each chunk in turn, converging fully after every one.
 fn fit_in_chunks(chunks: Vec<Events>) -> Vec<(String, Gaussian)> {
-    let mut h: History<i64, _, _, String> =
-        History::builder_with_key().convergence(tight()).build();
+    let mut h: History<i64, _, _, String> = History::builder()
+        .key_type::<String>()
+        .convergence(tight())
+        .build();
 
     for chunk in chunks {
         h.add_events(chunk).unwrap();
@@ -150,8 +152,10 @@ fn re_converging_an_unchanged_history_costs_one_iteration() {
     let (early, late) = fixture();
     let all: Vec<_> = early.into_iter().chain(late).collect();
 
-    let mut h: History<i64, _, _, String> =
-        History::builder_with_key().convergence(tight()).build();
+    let mut h: History<i64, _, _, String> = History::builder()
+        .key_type::<String>()
+        .convergence(tight())
+        .build();
     h.add_events(all).unwrap();
     let first = h.converge().unwrap();
     assert!(first.converged);

tests/time_axis.rs

@@ -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));
+}