The CLAUDE.md architecture section still described the pre-redesign engine: its data flow named `Batch`, `Agent`, `Player` and `message.rs`, none of which have existed since T2, and the public API it listed did not match `lib.rs`. It is the first thing a fresh session reads, so it was actively misleading. Rewritten against the current module layout, with the invariants that are easy to violate — ties needing a positive `p_draw`, NaN never being convergence, log-space evidence, color contiguity, `forbid(unsafe_code)`, and ingestion-order equivalence — written down. The README Todo list had five entries that were already done, including "Time needs to be an enum": `Time` has been a trait since T2, and the `batch::compute_elapsed()` it pointed at no longer exists. The genuinely open item — cross-checking `quality()` against sublee/trueskill — stays. `benches/ingest.rs` measures one-event-per-call against a single batched call. The rest of the suite only measured batched construction, which is why the quadratic fixed earlier on this branch went unnoticed for so long. `TimeSlice::log_evidence` also hashes its target set once instead of scanning the slice per player per event, so `log_evidence_for` with many keys is no longer quadratic. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DnsaJg74eNSva3PJjK2eej
101 lines
5.1 KiB
Markdown
101 lines
5.1 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Commands
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```bash
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just test # Full suite across every feature combination CI checks
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just check # Fast inner loop: cargo test --features approx
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just lint # clippy, warnings denied
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just fmt # ALWAYS nightly — rustfmt.toml uses nightly-only options
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just determinism # Bit-identical posteriors at RAYON_NUM_THREADS 1/2/4/8
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just ci # Everything CI runs
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cargo test --lib <test_name> # A single test by name
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cargo bench # Criterion benchmarks
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```
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**Run tests in release too.** `debug_assert!` is compiled out there, and that
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is where several defects have hidden — a debug-only run is not evidence.
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`just test` includes a release job.
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### Feature flags
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- `approx` — `approx::AbsDiffEq` etc. for `Gaussian`. Most numerical goldens need it.
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- `rayon` — opt-in parallel within-slice sweep and per-slice query passes.
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## Architecture
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A Rust port of [TrueSkillThroughTime.py](https://github.com/glandfried/TrueSkillThroughTime.py):
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Bayesian skill rating that infers skill at every point in time, propagating
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evidence both forward and backward across a history.
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### Data flow
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```
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History → TimeSlice[] → Event[] → Team[] → Item[]
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↓
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Game (factor graph) → Schedule → BuiltinFactor[]
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```
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- **`History`** (`history.rs`) — top level. Interns keys, groups events into
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`TimeSlice`s by time, runs the forward/backward sweep in `converge()`, and
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answers `learning_curves()`, `current_skill()`, `log_evidence()`,
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`predict_quality()`, `predict_outcome()`. Built via `HistoryBuilder`.
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- **`TimeSlice`** (`time_slice.rs`) — all events at one time. Owns a
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`SkillStore` and a `ScratchArena`; `iteration()` sweeps its events, using
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`ColorGroups` to partition independent ones.
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- **`Event`** (`time_slice.rs`) — one match. `compute()` runs inference reading
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skills immutably; `apply()` folds the result back. The split is what lets a
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color group run in parallel with no `unsafe`.
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- **`Game`** (`game.rs`) — a single match's factor graph. `run_chain` builds the
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diff chain between rank-adjacent teams and drives it to convergence.
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- **`Gaussian`** (`gaussian.rs`) — natural parameters (`pi = 1/sigma²`,
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`tau = mu/sigma²`). `Mul`/`Div` are the EP product/cavity: pure adds and
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subtracts. Variance-space ops (`Add`, `Sub`, `exclude`, `forget`) go through
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`from_mv`/`variance()` and take no square root.
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- **`factor/`** — `TeamSumFactor`, `RankDiffFactor`, `TruncFactor` (ranked),
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`MarginFactor` (scored), over a flat `VarStore`. `BuiltinFactor` dispatches
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by enum rather than `dyn`.
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- **`Schedule`** (`schedule.rs`) — drives factor propagation. `EpsilonOrMax` is
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the only implementation.
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- **`Competitor`** (`competitor.rs`) — per-history temporal state (`message`,
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`last_time`). **`Rating`** (`rating.rs`) — static config (prior, `beta`, drift).
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- **`storage/`** — `SkillStore` (per slice) and `CompetitorStore` (per history),
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both dense `Vec`s indexed by `Index`.
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- **`KeyTable`** (`key_table.rs`) — user key ↔ `Index`, both directions O(1).
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- **`Drift`** (`drift.rs`) / **`Time`** (`time.rs`) — traits. `Time` is a *trait*
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(`i64`, `Untimed`), not an enum.
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- **`lib.rs`** — public exports, global defaults (`MU`, `SIGMA`, `BETA`,
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`GAMMA`, `P_DRAW`, `EPSILON`, `ITERATIONS`), and the standalone `quality()`,
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`cdf()`, `erfc()`.
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### Invariants worth knowing
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- **A tie needs `p_draw > 0`.** With `p_draw == 0.0` the truncation margin is
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zero and the two-sided tie update evaluates `0/0`. Ingestion rejects such
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events with `InferenceError::TieWithoutDrawProbability`. This includes
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`Outcome::winner(w, n)` for `n >= 3`, which ties every loser.
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- **NaN is never convergence.** Comparisons against NaN are all false, so
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`tuple_gt` reads NaN as "below epsilon". Use `step_converged` /
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`step_is_finite`, never `!tuple_gt(..)` alone.
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- **Evidence accumulates in log space.** A linear product over a long diff
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chain underflows to zero, and `ln(0)` is `-inf`.
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- **Colors are contiguous.** `recompute_color_groups` reorders events so each
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color occupies one range; `ColorGroups::groups_are_contiguous` asserts it.
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- **The crate is `#![forbid(unsafe_code)]`.** Keep it that way.
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- **Ingestion order must not change the answer.** Events added one at a time
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must converge to the same fixed point as the same events batched — see
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`tests/ingestion_equivalence.rs`.
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### Testing notes
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- Numerical goldens are cross-validated against the Python/Julia reference.
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Some are *convergence residuals*, not exact values; treat a small movement
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as suspicious but check whether the new value is closer to the analytic
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truth (symmetric fixtures converge to their prior mean exactly) before
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assuming a regression.
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- `tests/degenerate_inputs.rs` covers empty/boundary/error paths,
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`tests/ingestion_equivalence.rs` covers batching order, `tests/quality.rs`
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covers N-group quality, `tests/determinism.rs` covers thread counts.
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