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logaritmiskandClaude Opus 5 061c481aad refactor!: typed discriminators for InferenceError
Six of fifteen variants carried a `&'static str` discriminator, about
thirty magic strings between them, and the only thing a caller could do
with one was print it. Four new enums replace them:

    Parameter        13 variants, replacing 9 strings in InvalidParameter
    Shape             4 variants, replacing 10 in MismatchedShape
    OutcomeKind       2 variants, replacing WrongOutcomeKind's three fields
    CompetitorField   2 variants, replacing ConflictingCompetitorConfig's

`InvalidProbability` folds into `InvalidParameter` as
`Parameter::PDraw`. It was a bespoke variant for one scalar while every
other scalar shared `InvalidParameter`, and it omitted the parameter
name — so the same parameter had two mechanisms.

`JointUnavailable { reason: &'static str }` splits into `EmptyHistory`,
`JointRequiresScoredEvents` and `NotPositiveDefinite`. The three are
conditions a caller branches on differently — add events, use
`predict_win_probabilities`, or reconsider the priors — and telling them
apart used to mean string-matching English. One test already proved the
distinction was load-bearing: the blanket conversion mapped the
empty-history case onto the ranked one and `an_empty_history_has_no_joint`
caught it immediately.

`NonFiniteResult` splits into `NonFiniteStep { context, step }` and
`NonFiniteSkill { mu, sigma }`. One `step: (f64, f64)` field was
carrying a sweep step from `converge` and a skill's own moments from a
prediction — two situations in one variant, and a field name that could
only be right for one of them.

`InvalidParameter { name: "beta with point-mass skills" }` becomes
`NoPerformanceVariance`. It was never a parameter out of range: both
values are individually valid and it is their combination that leaves
nothing varying.

Three `Display` impls did not meet the standard the others set, and the
typed data is what makes fixing them possible:

    before  drift variance is invalid: NaN
    after   drift variance must be finite and non-negative (got NaN)

    before  kinds: expected length 3, got 2
    after   the outcome describes a different number of teams than the
            event has: expected 3, got 2

    before  Game::ranked: expected Outcome::Ranked, got Outcome::Scored
    after   expected Outcome::Ranked, got Outcome::Scored; call
            Game::scored for a scored outcome

`Parameter::range()` states each parameter's actual bounds, which no
`&'static str` name could have. `error::message_tests` renders every one
and asserts each is a sentence rather than a label, and that the three
above now carry a range or a next step.

The four internal `MismatchedShape` kinds — `results`, `times`, `kinds`,
and the weights array — collapse to `Shape::Internal`, whose `Display`
says plainly that reaching it is a bug in this crate. They are checks on
`add_events_with_prior`'s own parallel arrays and are unreachable
through the public API; they stay checked rather than becoming
`debug_assert!`s, because release is where this crate's defects hide.

Closes #74.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011hcFjNDmHXZF8URGLku5zZ
2026-09-10 07:31:31 +02:00

345 lines
10 KiB
Rust

//! Configuring a competitor before anything is observed about them.
//!
//! The configuration a competitor needs is usually a property of the domain —
//! "every layout is static" — not of whichever event happens to mention them
//! first. Stating it per-event meant every ingestion path had to remember it,
//! and two of the four paths could not state it at all.
use smallvec::smallvec;
use trueskill_tt::{
ConstantDrift, ConvergenceOptions, Event, Gaussian, History, InferenceError, Member, Outcome,
Team,
};
type H = History;
const PINNED: Gaussian = Gaussian::from_ms(2.0, 0.5);
fn history() -> H {
History::builder()
.mu(0.0)
.sigma(6.0)
.beta(1.0)
.score_sigma(2.0)
.drift(ConstantDrift::new(0.5))
.convergence(ConvergenceOptions {
max_iter: 20_000,
epsilon: 1e-13,
alpha: 1.0,
})
.build()
}
fn duel(
a: &'static str,
b: &'static str,
t: i64,
m: Option<Member<&'static str>>,
) -> Event<i64, &'static str> {
Event {
time: t,
teams: smallvec![
Team::with_members([Member::new(a)]),
Team::with_members([m.unwrap_or_else(|| Member::new(b))]),
],
outcome: Outcome::scores([5.0, 2.0]),
}
}
fn skills(h: &H) -> Vec<(&'static str, Gaussian)> {
["player", "layout"]
.into_iter()
.map(|k| (k, h.current_skill(&k).unwrap()))
.collect()
}
/// The headline contract.
#[test]
fn registering_matches_configuring_on_the_first_event() {
let configured = {
let mut h = history();
h.add_events(vec![
duel(
"player",
"layout",
1,
Some(
Member::new("layout")
.with_drift_scale(0.0)
.with_prior(PINNED),
),
),
duel("player", "layout", 2, None),
])
.unwrap();
let _ = h.converge().unwrap();
h
};
let registered = {
let mut h = history();
h.register(
Member::new("layout")
.with_drift_scale(0.0)
.with_prior(PINNED),
)
.unwrap();
h.add_events(vec![
duel("player", "layout", 1, None),
duel("player", "layout", 2, None),
])
.unwrap();
let _ = h.converge().unwrap();
h
};
for ((k, a), (_, b)) in skills(&configured).into_iter().zip(skills(&registered)) {
assert_eq!(a.mu(), b.mu(), "{k} mu");
assert_eq!(a.variance(), b.variance(), "{k} variance");
}
}
/// The case `EventBuilder` and the typed path cannot reach: a competitor whose
/// first appearance arrives through the two-argument convenience route.
#[test]
fn registration_reaches_a_competitor_first_seen_through_record_winner() {
let mut h = history();
h.register(
Member::new("layout")
.with_drift_scale(0.0)
.with_prior(PINNED),
)
.unwrap();
h.record_winner(&"player", &"layout", 1).unwrap();
h.record_winner(&"player", &"layout", 2).unwrap();
let _ = h.converge().unwrap();
let rating = h.rating(&"layout").unwrap();
assert_eq!(rating.drift_scale(), 0.0);
assert_eq!(rating.prior().mu(), PINNED.mu());
// Pinned means pinned: no drift across the two slices.
let curve = h.learning_curve(&"layout").unwrap();
assert!(curve.len() >= 2);
let widest = curve
.iter()
.map(|(_, g)| g.sigma())
.fold(f64::MIN, f64::max);
let narrowest = curve
.iter()
.map(|(_, g)| g.sigma())
.fold(f64::MAX, f64::min);
assert!(
(widest - narrowest) / widest < 1e-9,
"{narrowest} .. {widest}"
);
}
#[test]
fn registering_a_known_competitor_is_an_error() {
let mut h = history();
h.record_winner(&"player", &"layout", 1).unwrap();
let err = h.register(Member::new("layout")).unwrap_err();
assert!(
matches!(err, InferenceError::AlreadyRegistered { .. }),
"{err:?}"
);
}
#[test]
fn registering_twice_is_an_error() {
let mut h = history();
h.register(Member::new("layout").with_drift_scale(0.0))
.unwrap();
let err = h
.register(Member::new("layout").with_drift_scale(1.0))
.unwrap_err();
assert!(
matches!(err, InferenceError::AlreadyRegistered { .. }),
"{err:?}"
);
// The first registration stands.
assert_eq!(h.rating(&"layout").unwrap().drift_scale(), 0.0);
}
/// `weight` is per-event and meaningless here, so it is rejected rather than
/// dropped — dropping it silently is the defect class this whole area keeps
/// producing.
#[test]
fn a_weight_on_a_registration_is_rejected() {
let mut h = history();
let err = h
.register(Member::new("layout").with_weight(0.5))
.unwrap_err();
assert!(
matches!(
err,
InferenceError::InvalidParameter {
parameter: trueskill_tt::Parameter::Weight,
..
}
),
"{err:?}"
);
}
#[test]
fn an_invalid_drift_scale_on_a_registration_is_rejected() {
for bad in [-1.0, f64::NAN, f64::INFINITY] {
let mut h = history();
let err = h
.register(Member::new("layout").with_drift_scale(bad))
.unwrap_err();
assert!(
matches!(
err,
InferenceError::InvalidParameter {
parameter: trueskill_tt::Parameter::DriftScale,
..
}
),
"{bad}: {err:?}"
);
}
}
/// Registration makes the fit independent of the order events arrive in,
/// which is what the per-event shape could not guarantee.
#[test]
fn registration_makes_the_fit_order_independent() {
let build = |reversed: bool| {
let mut h = history();
h.register(
Member::new("layout")
.with_drift_scale(0.0)
.with_prior(PINNED),
)
.unwrap();
let mut events = vec![
duel("player", "layout", 1, None),
duel("player", "layout", 2, None),
duel("player", "layout", 3, None),
];
if reversed {
events.reverse();
}
h.add_events(events).unwrap();
let _ = h.converge().unwrap();
h
};
let forward = build(false);
let backward = build(true);
for ((k, a), (_, b)) in skills(&forward).into_iter().zip(skills(&backward)) {
assert_eq!(a.mu(), b.mu(), "{k} mu");
assert_eq!(a.variance(), b.variance(), "{k} variance");
}
}
/// `rating` is the read-back that made a configuration mistake detectable from
/// outside the crate at all. Every other accessor reports what inference
/// inferred; this reports what it was told.
#[test]
fn rating_reads_back_what_was_stored() {
let mut h = history();
assert!(h.rating(&"nobody").is_none());
h.register(
Member::new("layout")
.with_drift_scale(0.25)
.with_prior(PINNED),
)
.unwrap();
let r = h.rating(&"layout").unwrap();
assert_eq!(r.drift_scale(), 0.25);
assert_eq!(r.prior().mu(), PINNED.mu());
assert_eq!(r.prior().variance(), PINNED.variance());
// A competitor created by an event reports the history defaults.
h.record_winner(&"player", &"layout", 1).unwrap();
assert_eq!(h.rating(&"player").unwrap().drift_scale(), 1.0);
}
/// The decision this issue turned on: two different values for one competitor
/// are an error whether they arrive in one batch or two.
///
/// Last-write-wins across batches cut against the invariant
/// `tests/ingestion_equivalence.rs` protects — the same contradictory events
/// errored when batched and succeeded, order-dependently, one at a time.
mod conflicting_configuration {
use super::*;
fn seed(scale: f64) -> Event<i64, &'static str> {
duel(
"player",
"layout",
1,
Some(Member::new("layout").with_drift_scale(scale)),
)
}
#[test]
fn within_one_batch_is_an_error() {
let mut h = history();
let err = h.add_events(vec![seed(0.0), seed(1.0)]).unwrap_err();
assert!(
matches!(
err,
InferenceError::ConflictingCompetitorConfig {
field: trueskill_tt::CompetitorField::DriftScale,
..
}
),
"{err:?}"
);
}
#[test]
fn across_two_batches_is_also_an_error() {
let mut h = history();
h.add_events(vec![seed(0.0)]).unwrap();
let err = h.add_events(vec![seed(1.0)]).unwrap_err();
assert!(
matches!(
err,
InferenceError::ConflictingCompetitorConfig {
field: trueskill_tt::CompetitorField::DriftScale,
..
}
),
"{err:?}"
);
// Rejected before anything mutates: the first declaration stands.
assert_eq!(h.rating(&"layout").unwrap().drift_scale(), 0.0);
}
/// Repeating the *same* value stays inert, which is the expected shape
/// when the configuration is a property of the domain.
#[test]
fn repeating_the_same_value_is_inert() {
let mut h = history();
h.add_events(vec![seed(0.0)]).unwrap();
h.add_events(vec![seed(0.0)]).unwrap();
assert_eq!(h.rating(&"layout").unwrap().drift_scale(), 0.0);
}
/// A registration and a later event that agree are fine; one that
/// disagrees is the same error.
#[test]
fn a_registration_conflicts_with_a_later_event() {
let mut h = history();
h.register(Member::new("layout").with_drift_scale(0.0))
.unwrap();
h.add_events(vec![seed(0.0)]).unwrap();
let mut h2 = history();
h2.register(Member::new("layout").with_drift_scale(0.0))
.unwrap();
let err = h2.add_events(vec![seed(1.0)]).unwrap_err();
assert!(
matches!(err, InferenceError::ConflictingCompetitorConfig { .. }),
"{err:?}"
);
}
}