Files
trueskill-tt/src/storage/skill_store.rs
T
logaritmisk d2aab82c1e T0 + T1 + T2: engine redesign through new API surface (#1)
Implements tiers T0, T1, T2 of `docs/superpowers/specs/2026-04-23-trueskill-engine-redesign-design.md`. All three tiers have landed together on this branch because they build on one another; this PR rolls them up for a single review pass.

Per-tier plans:
- T0: `docs/superpowers/plans/2026-04-23-t0-numerical-parity.md`
- T1: `docs/superpowers/plans/2026-04-24-t1-factor-graph.md`
- T2: `docs/superpowers/plans/2026-04-24-t2-new-api-surface.md`

## Summary

### T0 — Numerical parity (internal)

- `Gaussian` switched to natural-parameter storage `(pi, tau)`; mul/div now ~7× faster (218 ps vs 1.57 ns).
- `HashMap<Index, _>` → dense `Vec<_>` keyed by `Index.0` (via `AgentStore<D>`, `SkillStore`).
- `ScratchArena` eliminates per-event allocations in `Game::likelihoods`.
- `InferenceError` seed type added (1 variant).
- 38 → 53 tests passing through T1.
- Benchmark: `Batch::iteration` 29.84 → 21.25 µs.

### T1 — Factor graph machinery (internal)

- `Factor` trait + `BuiltinFactor` enum (TeamSum / RankDiff / Trunc) driving within-game inference.
- `VarStore` flat storage for variable marginals.
- `Schedule` trait + `EpsilonOrMax` impl replacing the hand-rolled EP loop.
- `Game::likelihoods` rebuilt on the factor-graph machinery; iteration counts and goldens preserved to within 1e-6.
- 53 tests passing.
- Benchmark: `Batch::iteration` 23.01 µs (slight regression absorbed in T2).

### T2 — New API surface (breaking)

**Renames:**
- `IndexMap → KeyTable`, `Player → Rating`, `Agent → Competitor`, `Batch → TimeSlice`

**New types:**
- `Time` trait with `Untimed` ZST and `i64` impls; `Drift<T>`, `Rating<T, D>`, `Competitor<T, D>`, `TimeSlice<T>`, `History<T, D, O, K>` all generic.
- `Event<T, K>`, `Team<K>`, `Member<K>`, `Outcome` (`Ranked` variant; `#[non_exhaustive]`).
- `Observer<T>` trait + `NullObserver`.
- `ConvergenceOptions`, `ConvergenceReport`.
- `GameOptions`, `OwnedGame<T, D>`.

**Three-tier ingestion:**
- `history.record_winner(&K, &K, T)` / `record_draw(&K, &K, T)` — 1v1 convenience.
- `history.add_events(iter)` — typed bulk.
- `history.event(T).team([...]).weights([...]).ranking([...]).commit()` — fluent.

**Query API:** `current_skill`, `learning_curve`, `learning_curves` (keyed on `K`), `log_evidence`, `log_evidence_for`, `predict_quality`, `predict_outcome`.

**Game constructors:** `ranked`, `one_v_one`, `free_for_all`, `custom` — all returning `Result<_, InferenceError>`.

**`factors` module:** `Factor`, `Schedule`, `VarStore`, `VarId`, `BuiltinFactor`, `EpsilonOrMax`, `ScheduleReport`, `TeamSumFactor`, `RankDiffFactor`, `TruncFactor` now public.

**Errors:** `InferenceError` gains `MismatchedShape`, `InvalidProbability`, `ConvergenceFailed`; boundary panics converted to `Result`.

**Removed (breaking):** `History::convergence(iters, eps, verbose)`, `HistoryBuilder::gamma(f64)`, `HistoryBuilder::time(bool)`, `History.time: bool`, `learning_curves_by_index`, nested-Vec public `add_events`.

## Behavior change (documented in CHANGELOG)

`Time = Untimed` has `elapsed_to → 0`, so no drift accumulates between slices. The old `time=false` mode implicitly forced `elapsed=1` on reappearance via an `i64::MAX` sentinel — that quirk is not reproducible under a typed time axis. Tests that depended on it now use `History::<i64, _>` with explicit `1..=n` timestamps. One test (`test_env_ttt`) had 3 Gaussian goldens updated to reflect the corrected semantics; documented in commit `33a7d90`.

## Final numbers

| Metric | Before T0 | After T2 | Delta |
|---|---|---|---|
| `Batch::iteration` | 29.84 µs | 21.36 µs | **-28%** |
| `Gaussian::mul` | 1.57 ns | 219 ps | **-86%** |
| `Gaussian::div` | 1.57 ns | 219 ps | **-86%** |
| Tests passing | 38 | 90 | +52 |

All other Gaussian ops unchanged (~219 ps add/sub, ~264 ps pi/tau reads).

## Test plan

- [x] `cargo test --features approx` — 90/90 pass (68 lib + 10 api_shape + 6 game + 4 record_winner + 2 equivalence)
- [x] `cargo clippy --all-targets --features approx -- -D warnings` — clean
- [x] `cargo +nightly fmt --check` — clean
- [x] `cargo bench --bench batch` — 21.36 µs
- [x] `cargo bench --bench gaussian` — unchanged from T1
- [x] `cargo run --example atp --features approx` — rewritten in new API, runs clean
- [x] Historical Game-level goldens preserved in `tests/equivalence.rs`
- [x] Public API matches spec Section 4 (verified by integration tests in `tests/api_shape.rs`)

## Commit history

~45 commits total across T0 + T1 + T2. Each task is self-contained and individually tested; the branch is bisectable. See `git log main..t2-new-api-surface` for the full list.

## Deferred to later tiers

- `Outcome::Scored` + `MarginFactor` — T4
- `Damped` / `Residual` schedules — T4
- `Send + Sync` bounds + Rayon parallelism — T3
- N-team `predict_outcome` — T4
- `Game::custom` full ergonomics — T4

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Reviewed-on: #1
Co-authored-by: Anders Olsson <anders.e.olsson@gmail.com>
Co-committed-by: Anders Olsson <anders.e.olsson@gmail.com>
2026-04-24 11:20:04 +00:00

131 lines
3.5 KiB
Rust

use crate::{Index, time_slice::Skill};
/// Dense Vec-backed store for per-agent skill state within a TimeSlice.
///
/// Indexed directly by Index.0, eliminating HashMap hashing in the inner
/// convergence loop. Uses a parallel `present` mask so iteration skips
/// absent slots without incurring per-slot Option overhead in the hot path.
#[derive(Debug, Default)]
pub struct SkillStore {
skills: Vec<Skill>,
present: Vec<bool>,
n_present: usize,
}
impl SkillStore {
pub fn new() -> Self {
Self::default()
}
fn ensure_capacity(&mut self, idx: usize) {
if idx >= self.skills.len() {
self.skills.resize_with(idx + 1, Skill::default);
self.present.resize(idx + 1, false);
}
}
pub fn insert(&mut self, idx: Index, skill: Skill) {
self.ensure_capacity(idx.0);
if !self.present[idx.0] {
self.n_present += 1;
}
self.skills[idx.0] = skill;
self.present[idx.0] = true;
}
pub fn get(&self, idx: Index) -> Option<&Skill> {
if idx.0 < self.present.len() && self.present[idx.0] {
Some(&self.skills[idx.0])
} else {
None
}
}
pub fn get_mut(&mut self, idx: Index) -> Option<&mut Skill> {
if idx.0 < self.present.len() && self.present[idx.0] {
Some(&mut self.skills[idx.0])
} else {
None
}
}
#[allow(dead_code)]
pub fn contains(&self, idx: Index) -> bool {
idx.0 < self.present.len() && self.present[idx.0]
}
#[allow(dead_code)]
pub fn len(&self) -> usize {
self.n_present
}
#[allow(dead_code)]
pub fn is_empty(&self) -> bool {
self.n_present == 0
}
pub fn iter(&self) -> impl Iterator<Item = (Index, &Skill)> {
self.present.iter().enumerate().filter_map(|(i, &p)| {
if p {
Some((Index(i), &self.skills[i]))
} else {
None
}
})
}
pub fn iter_mut(&mut self) -> impl Iterator<Item = (Index, &mut Skill)> {
self.skills
.iter_mut()
.zip(self.present.iter())
.enumerate()
.filter_map(|(i, (s, &p))| if p { Some((Index(i), s)) } else { None })
}
pub fn keys(&self) -> impl Iterator<Item = Index> + '_ {
self.present
.iter()
.enumerate()
.filter_map(|(i, &p)| if p { Some(Index(i)) } else { None })
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn insert_then_get() {
let mut store = SkillStore::new();
let idx = Index(3);
store.insert(idx, Skill::default());
assert!(store.contains(idx));
assert_eq!(store.len(), 1);
assert!(store.get(idx).is_some());
}
#[test]
fn missing_returns_none() {
let store = SkillStore::new();
assert!(store.get(Index(0)).is_none());
assert!(!store.contains(Index(42)));
}
#[test]
fn iter_skips_absent_slots() {
let mut store = SkillStore::new();
store.insert(Index(0), Skill::default());
store.insert(Index(5), Skill::default());
let keys: Vec<Index> = store.keys().collect();
assert_eq!(keys, vec![Index(0), Index(5)]);
}
#[test]
fn double_insert_does_not_double_count() {
let mut store = SkillStore::new();
store.insert(Index(2), Skill::default());
store.insert(Index(2), Skill::default());
assert_eq!(store.len(), 1);
}
}