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mcr-final2026-testset

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Tags:
mahjong
chinese-standard-mahjong
mcr
game-logs
engine-testing
botzone
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MCR Final-2026 engine correctness test set: 12,288 games + 221 golden + validator

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  1. LICENSE +21 -0
  2. README.md +258 -0
  3. TAGS_SUMMARY.json +3901 -0
  4. mcr_final2026_full.jsonl.gz +3 -0
  5. mcr_final2026_golden.jsonl +0 -0
  6. validate_engine.py +485 -0
LICENSE ADDED
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+ MCR Final-2026 Engine Correctness Test Set — usage note
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+ ========================================================
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+
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+ This dataset consists of machine-generated game logs from the IJCAI-2026
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+ Mahjong AI Competition Final Stage 2, played on the Botzone platform
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+ (https://botzone.org.cn) between four autonomous bots. The logs record only
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+ game protocol events (deals, draws, discards, claims, wins, scores) produced
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+ by the competition judge and the bots' action strings.
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+
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+ - Redistributed for research and engineering use: engine/judge correctness
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+ testing, rules verification, game-AI and imitation-learning research.
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+ - The bot policies (code, model weights) that produced the moves are NOT
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+ included and remain the property of their respective authors.
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+ - Match records were harvested from the publicly viewable Botzone match
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+ archive. Player identifiers are the public competition user/bot names.
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+ - No warranty of any kind. If you believe any content should not be
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+ redistributed, open a discussion on the dataset page.
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+
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+ If you use this dataset in a publication, please cite the IJCAI-2026 Mahjong
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+ AI Competition and link the dataset card:
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+ https://huggingface.co/datasets/Dannibal/mcr-final2026-testset
README.md ADDED
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+ ---
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+ license: other
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+ license_name: competition-game-logs
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+ license_link: LICENSE
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+ language:
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+ - zh
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+ - en
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+ tags:
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+ - mahjong
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+ - chinese-standard-mahjong
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+ - mcr
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+ - game-logs
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+ - engine-testing
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+ - botzone
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+ - ijcai-2026
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+ pretty_name: MCR Final-2026 Engine Correctness Test Set
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # MCR Final-2026 Engine Correctness Test Set
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+
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+ **A correctness test dataset for Chinese Standard Mahjong (MCR, 国标麻将) engine and
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+ judge implementers**, built from the **12,288 official IJCAI-2026 Mahjong AI Competition
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+ Final Stage-2 games** (Botzone, contest finished 2026-07-09; 512 duplicate walls x 24
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+ seat/wind permutations, 4 finalist bots, zero protocol errors).
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+
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+ The product is simple: **any new MCR judge/engine (e.g. a JAX implementation) must
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+ reproduce these games exactly** — every deal, every draw, every claim resolution, every
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+ win/fan decision, and the final four-seat score of all 12,288 games. If it does, it is
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+ protocol- and rules-equivalent to the official judge on ~590k decision points. The games
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+ were played by four independent, strong, mutually adversarial policies, so the stream
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+ exercises claim priority, kong edge cases, robbed kongs, 8-fan boundary wins and monster
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+ hands far better than random play does.
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+
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+ ## Files
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+
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+ | file | contents |
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+ |---|---|
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+ | `mcr_final2026_full.jsonl.gz` | all 12,288 games, one JSON record per line (~14 MB) |
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+ | `mcr_final2026_golden.jsonl` | 221 curated edge-case games (uncompressed, browsable) — every record also appears in the full file |
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+ | `validate_engine.py` | reference validator: dataset self-test + engine harness (pure stdlib) |
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+ | `TAGS_SUMMARY.json` | per-tag counts, request-grammar census, judge-vs-MahjongGB scan details, golden game ids |
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+ | `LICENSE` | usage note (competition game logs, research use) |
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+
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+ Status at publication: `validate_engine.py --self-test` passes **12,288/12,288** games;
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+ the built-in demo engine reproduces **221/221** golden games through the engine harness.
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+
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+ ## Record schema (one game per line)
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+
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+ ```jsonc
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+ {
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+ "game_id": "6a4eba831ba515095a1f155b", // Botzone match id
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+ "srand": 2143175072, // judge RNG seed that generated the wall
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+ "quan": 0, // prevalent wind 0-3 (0=E); 3072 games each
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+ "players": ["player152/player2", ...], // seat 0..3 -> "user/bot" (metadata only)
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+ "wall": ["W4","F3", ... 136 tiles], // full ordered wall — see deal order below
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+ "turns": [ // the complete lockstep protocol stream
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+ {
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+ "request": {"0": "2 T8", "1": "3 0 DRAW", ...}, // judge -> each seat (verbatim)
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+ "display": {"action": "DRAW", "player": 0, "tile": "T8",
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+ "canHu": [-3,-4,-4,-4], "tileCnt": [20,21,21,21]},
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+ "responses": {"0": "PLAY T9", "1": "PASS", "2": "PASS", "3": "PASS"}
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+ },
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+ // ... terminal turn: display.action == "HU" (fan/fanCnt/score) or "HUANG",
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+ // no request/responses on the terminal turn
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+ ],
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+ "expected": {
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+ "ending": "ron", // "zimo" | "ron" | "draw" (draw = 荒庄)
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+ "winner": 2, // seat, or null for draw
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+ "discarder": 3, // seat that dealt in (ron only; for qianggang = the BUGANG player)
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+ "qianggang": false, // true = robbed kong (HU immediately after BUGANG)
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+ "fan": [["清龙",16,1],["平和",2,1], ...], // [name, value, count]
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+ "fan_total": 20,
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+ "scores": [-8,-8,44,-28] // final duplicate-format game scores, sum = 0
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+ },
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+ "tags": ["ron","multi_claim", ...],
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+ "known_discrepancy": { ... } // only on gb_discrepancy / gb_fan_diff games (see below)
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+ }
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+ ```
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+
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+ Tiles: `W1-W9` characters (万), `B1-B9` dots (饼), `T1-T9` bamboo (条), `F1-F4` winds
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+ (东南西北), `J1-J3` dragons (中发白). No flowers. Seat `s` has seat wind `s`; **seat 0 is
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+ always the dealer** (first to draw) regardless of `quan`, which is the prevalent wind
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+ (uniform 0-3 across the 24 permutations of each wall).
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+
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+ ### Wall / deal / draw convention (reproduce this or nothing matches)
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+
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+ Each seat owns a private 34-tile wall segment: **seat `s` draws from
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+ `wall[34*s .. 34*s+33]`, consumed from the back** (`wall[34*s+33]` first).
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+ The deal gives each seat the last 13 tiles of its segment in back-to-front order:
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+ `hand[s][i] == wall[34*s + 33 - i]`. The dealer's first draw is `wall[20]`, i.e.
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+ `wall[34*s + 20]` for `s = 0`. Kong replacement draws come from the drawer's own
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+ segment, same order — there is no separate dead wall. `tileCnt[s]` in every display is
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+ the number of tiles remaining in seat `s`'s segment. The game is a draw (HUANG, 荒庄)
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+ when the seat that would draw next has an empty segment. All 12,288 games were verified
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+ to obey this convention exactly. `srand` is informative (the judge's C `srand` seed) —
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+ you never need to re-derive the wall from it; the wall is given explicitly.
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+
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+ ### Protocol stream: requests, displays, responses
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+
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+ `turns[k]` is one judge step: `request` is the exact per-seat request string the judge
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+ sent (Botzone Chinese-Standard-Mahjong "simple interaction" format), `display` is the
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+ judge's public event record, `responses` is what the four bots answered. Complete
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+ request-grammar census over all 12,288 games (counts in `TAGS_SUMMARY.json`):
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+
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+ ```
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+ 0 <seat> <quan> game start (own seat wind, prevalent wind)
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+ 1 0 0 0 0 <t1> ... <t13> deal (the four 0s are flower counts, always 0)
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+ 2 <tile> your own draw
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+ 3 <p> DRAW player p drew (tile hidden)
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+ 3 <p> PLAY <tile> player p discarded <tile>
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+ 3 <p> PENG <tile> player p pengs the last discard AND discards <tile>
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+ 3 <p> CHI <mid> <tile> player p chis the last discard (run's middle tile =
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+ <mid>) AND discards <tile>
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+ 3 <p> GANG AMBIGUOUS: melded kong of the last discard, OR a
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+ concealed kong (AnGang) if p just drew — the AnGang
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+ tile is never in the request (only in the display)
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+ 3 <p> BUGANG <tile> player p promotes an exposed peng of <tile> to a kong
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+ ```
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+
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+ Legal responses: `PASS`, `PLAY <t>`, `PENG <t-to-discard>`, `CHI <mid> <t-to-discard>`,
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+ `GANG` (meld last discard), `GANG <t>` (concealed kong, after own draw), `BUGANG <t>`,
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+ `HU`.
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+
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+ ### The four classic replay traps (all fixed in this dataset's semantics)
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+
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+ These are real bugs found in a published replay harness for this log format. An engine
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+ or log consumer that gets any of them wrong diverges within a few games:
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+
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+ 1. **PENG/CHI events embed the claimer's follow-up discard.** `{"action":"PENG",
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+ "player":2,"tile":"W4"}` means *seat 2 pengs the live discard and then discards W4*.
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+ The claimed tile is NOT in the event — it is the last live discard. For CHI,
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+ `tileCHI` is the run's middle tile and `tile` is again the follow-up discard.
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+ Dropping these embedded discards causes silent state drift and later crashes.
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+ 2. **`GANG` is ambiguous and must be discriminated by live-discard tracking.** A `GANG`
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+ while an unclaimed discard is on the table is a melded kong of that discard; a `GANG`
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+ with **no** live discard (i.e. right after the player's own draw) is a concealed kong
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+ (AnGang) whose tile appears only in the display, never in the request.
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+ 3. **`BUGANG` is a first-class event** (promoted kong). It kills the live discard,
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+ offers every other seat a robbed-kong (`qianggang`) HU claim, and on PASS the kong
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+ player draws a replacement tile.
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+ 4. **Terminal labeling:** a ron is the winner's *claim* on the live discard (or on the
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+ BUGANG tile — qianggang); a zimo is a win on the winner's own pending draw. The
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+ `expected` block encodes the corrected labels: `ending`/`winner`/`discarder`/
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+ `qianggang`.
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+
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+ ### Rules the games exercise (and your engine must implement)
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+
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+ - **Minimum 8 fan to win** (MCR): the judge only granted HU with `fan_total >= 8`
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+ (flowerless Botzone MCR scoring; `fan` lists each 番种 as name/value/count exactly as
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+ the judge scored it; `fan_total == sum(value*cnt)` holds on every win).
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+ - **Claim priority: HU > PENG/GANG > CHI.** On multiple HU claims for the same tile the
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+ seat nearest downstream (counter-clockwise) of the discarder wins. CHI is only legal
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+ from the left neighbour. Verified on every multi-claim turn in the corpus
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+ (1,622 multi-claim games, 140 with competing HU/claim priority on the same tile).
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+ - **Scoring** (duplicate format, per game, sums to 0):
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+ - zimo: winner `+3*(8+fan)`, each other seat `-(8+fan)`
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+ - ron: winner `+(3*8+fan)`, discarder `-(8+fan)`, bystanders `-8` (qianggang: the
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+ BUGANG player is the discarder)
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+ - draw (荒庄): all 0.
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+ - **`canHu` per-step oracle:** every display carries `canHu[4]`; a value `>= 0` is the
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+ exact fan count that seat could win with on the current tile event; negative values
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+ are judge-internal codes (-4: not applicable / own event, -3: cannot win). Verified:
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+ whenever a game ends, the winning event's `canHu[winner]` equals the final `fanCnt`.
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+ Your engine can check its fan calculator at every single step against this field.
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+
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+ ## Golden subset & edge-case tags
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+
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+ `mcr_final2026_golden.jsonl` — 221 games chosen deterministically (lowest game_id per
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+ tag; all games of the rare tags). A game carries all tags that apply to it.
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+
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+ | tag | full set | golden | meaning |
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+ |---|---|---|---|
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+ | `ron` | 8,436 | 109 | win on another seat's discard |
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+ | `zimo` | 3,652 | 92 | self-drawn win |
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+ | `draw` | 200 | 20 | 荒庄, wall exhausted, all scores 0 |
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+ | `fan8_boundary` | 1,778 | 36 | win at exactly the 8-fan legal minimum |
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+ | `multi_claim` | 1,622 | 57 | ≥2 seats claimed the same tile (priority resolution) |
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+ | `multi_hu` | 140 | 20 | ≥2 competing HU claims on one tile |
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+ | `bugang` | 1,204 | 54 | promoted kong occurred |
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+ | `minggang` | 939 | 25 | melded kong of a discard occurred |
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+ | `angang` | 519 | 23 | concealed kong occurred |
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+ | `qianggang` | 28 | 28 (all) | robbed-kong win (HU right after BUGANG) |
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+ | `fan_qiangganghu` | 28 | 28 (all) | 抢杠��� scored in the fan list |
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+ | `fan_gangshangkaihua` | 46 | 8 | 杠上开花 (win on kong replacement tile) |
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+ | `fan_last_tile_zimo` | 9 | 5 | 妙手回春 (last wall tile, self-drawn) |
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+ | `fan_last_tile_ron` | 4 | 4 (all) | 海底捞月 (win on the final discard) |
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+ | `big_fan` | 20 | 10 | fan_total ≥ 48 (max in corpus: 93) |
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+ | `gb_discrepancy` | 20 | 20 (all) | KNOWN-DISCREPANCY, see below |
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+ | `gb_fan_diff` | 98 | 20 | KNOWN-DISCREPANCY (milder), see below |
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+
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+ ## KNOWN-DISCREPANCY cases (judge vs cai-style MahjongGB replay) — do not "fix" them
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+
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+ Every HU ending was re-scored with the community python `MahjongGB` (PyMahjongGB) fan
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+ calculator by replaying hands/melds through the widely-copied "cai" FeatureAgent (the
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+ encoder used by most Botzone MCR RL/imitation codebases). Result over 12,088 wins:
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+
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+ | status | games | meaning |
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+ |---|---|---|
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+ | `agree` | 11,970 | replayed MahjongGB fan == judge fan, fan by fan |
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+ | `cai_replay_fan_diff` | 98 | cai-style replay scores lower but still ≥8 fan |
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+ | `cai_replay_below_8fan_gate` | 20 | cai-style replay scores the judge-accepted zimo **below 8 fan** — a cai-gated engine would have forbidden a legal win |
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+
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+ All 118 disagreements have the **same root cause, in the replay layer, not in
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+ MahjongGB**: the cai FeatureAgent computes `is4thTile = shownTiles[winTile] == 4`, and
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+ the just-drawn tile is never counted in `shownTiles`, so 和绝张 (Last Of Its Kind,
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+ 4 fan) can never fire on a self-drawn win. With `is4thTile` corrected to
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+ `shownTiles + (1 if self-drawn) == 4`, **python MahjongGB matches the judge on all
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+ 12,088 wins**. The 118 games are tagged (`gb_discrepancy` = the 20 gate-relevant ones,
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+ `gb_fan_diff` = the 98 milder ones) and carry a `known_discrepancy` field with both fan
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+ lists side by side. **The official Botzone judge is the ground truth for engine
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+ acceptance.** If your engine embeds a cai-style feature/legality layer, these are
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+ exactly the games where you will diverge — handle them consciously rather than
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+ discovering them as flaky test failures.
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+
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+ ## Validating your engine
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+
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+ ```bash
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+ # 1. dataset self-test (no engine needed; re-checks every game against the
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+ # reference replay semantics: wall order, per-step hand/meld legality, claim
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+ # priority, terminal classification, exact score arithmetic):
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+ python3 validate_engine.py --self-test mcr_final2026_full.jsonl.gz --jobs 16
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+ # -> self-test: 12288/12288 games PASS
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+
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+ # 2. interface smoke test with the built-in replay engine:
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+ python3 validate_engine.py --demo mcr_final2026_golden.jsonl
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+
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+ # 3. your engine (start with the golden subset, then run the full set):
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+ python3 validate_engine.py --engine mymodule:MyEngine mcr_final2026_golden.jsonl
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+ python3 validate_engine.py --engine mymodule:MyEngine mcr_final2026_full.jsonl.gz
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+ ```
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+
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+ Your engine implements two methods (see the docstring in `validate_engine.py`):
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+ `reset(wall, quan, srand) -> turn` and `step(responses) -> turn`, where a turn is
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+ `{"requests": {seat: str}, "display": {...}}`. The validator feeds the logged responses
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+ and requires byte-exact request strings and display events (`--loose` compares only
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+ action/player/tile/tileCHI/hand/fan/fanCnt/score). Acceptance = 12,288/12,288 games
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+ reproduced.
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+
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+ ## Provenance & stats
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+
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+ - IJCAI-2026 Mahjong AI Competition, Final Stage 2 (Botzone contest
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+ `6a4eb8c71ba515095a1f1417`, finished 2026-07-09). 512 duplicate walls x 24 seat/wind
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+ permutations; finalists: kong/shiro, moyu/kdens3, QiuQiuR/丘丘人, player152/player2.
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+ - 12,088 HU endings + 200 荒庄 draws; **zero** ERROR/TLE/invalid-move events anywhere in
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+ the corpus (all per-turn verdicts `OK`) — every game is a clean, complete protocol
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+ trace.
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+ - Harvested from the public Botzone match archive; bot response `time`/`memory`/`debug`
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+ fields were stripped, everything else is verbatim.
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+
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+ ## License / usage
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+
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+ Game logs of a public AI competition (Botzone platform), redistributed for research and
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+ engineering use: engine testing, rules verification, imitation-learning research. The
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+ bot policies that produced the moves remain the property of their authors; no bot code
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+ or model weights are included. If you use this dataset in a publication, please cite the
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+ IJCAI-2026 Mahjong AI Competition and link this dataset card.
TAGS_SUMMARY.json ADDED
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+ "2": 3072,
3887
+ "3": 3072
3888
+ },
3889
+ "request_grammar": {
3890
+ "3 <p> PLAY <tile>": 2056792,
3891
+ "3 <p> DRAW": 1559082,
3892
+ "2 <tile> (own draw)": 519694,
3893
+ "3 <p> CHI <mid> <follow-up discard>": 129744,
3894
+ "3 <p> PENG <follow-up discard>": 86996,
3895
+ "0 <seat> <quan> (game start)": 49152,
3896
+ "1 0 0 0 0 <13 tiles> (deal; four flower counts always 0)": 49152,
3897
+ "3 <p> GANG": 5972,
3898
+ "3 <p> BUGANG <tile>": 5208
3899
+ },
3900
+ "seconds": 28.0
3901
+ }
mcr_final2026_full.jsonl.gz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b2496bbe8674c35f9d7a1ff2d4dd390be6eab862a66048654ecf04919d49f5f
3
+ size 14224312
mcr_final2026_golden.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
validate_engine.py ADDED
@@ -0,0 +1,485 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/usr/bin/env python3
2
+ """validate_engine.py — correctness validator for Chinese Standard Mahjong (MCR) engines
3
+ against the IJCAI-2026 Final Stage-2 golden game set (Dannibal/mcr-final2026-testset).
4
+
5
+ Two modes:
6
+
7
+ 1. Self-test (validates the dataset itself against the reference replay semantics):
8
+
9
+ python3 validate_engine.py --self-test mcr_final2026_full.jsonl.gz [--jobs 64]
10
+
11
+ Replays every game with a pure-python reference checker (the corrected
12
+ "replay_harness2" semantics: PENG/CHI-embedded discards, live-discard GANG
13
+ discrimination, BUGANG handling, ron/zimo/qianggang terminal labeling) and
14
+ asserts, for every game:
15
+ - wall integrity (136 tiles, 4 of each of the 34 kinds)
16
+ - deal & draw order: seat s is dealt/draws from wall[34*s .. 34*s+33],
17
+ consumed from the BACK (index 34*s+33 first); tileCnt bookkeeping
18
+ - per-step hand/meld legality (every discard from hand, PENG needs 2 in
19
+ hand, CHI only from the left neighbour with both fillers in hand,
20
+ melded GANG needs 3, AnGang needs 4 after own draw, BUGANG upgrades an
21
+ existing PENG)
22
+ - claim resolution priority (HU > PENG/GANG > CHI) and actor rotation
23
+ - response<->event consistency (the granted claim's response string must
24
+ match the following judge event, including the embedded discard)
25
+ - terminal: ending classification (zimo/ron/draw + qianggang), fan_total
26
+ == sum(value*cnt) of the fan list, exact score arithmetic
27
+ (zimo: winner +3*(8+fan), others -(8+fan);
28
+ ron: winner +(3*8+fan), discarder -(8+fan), bystanders -8),
29
+ scores sum to 0, and agreement with the record's `expected` block.
30
+
31
+ 2. Engine mode (validates YOUR engine — the product):
32
+
33
+ python3 validate_engine.py --engine mymodule:MyEngine mcr_final2026_golden.jsonl
34
+
35
+ Your engine must implement the interface below. The validator drives it
36
+ with the logged bot responses turn by turn and requires the engine to
37
+ reproduce the judge's protocol stream exactly: every per-seat request
38
+ string, every display event (claim resolutions, gang discrimination, win
39
+ detection) and the terminal fan/score result.
40
+
41
+ class MyEngine:
42
+ def reset(self, wall: list[str], quan: int, srand: int) -> dict:
43
+ '''Start a game. wall = 136 tiles; seat s draws from
44
+ wall[34*s : 34*s+34], back to front. Returns the first turn:
45
+ {"requests": {"0": "0 0 0", ...}, "display": {"action": "INIT", ...}}'''
46
+ def step(self, responses: dict[str, str]) -> dict:
47
+ '''Feed the four seats' response strings to the pending
48
+ requests; return the next turn dict:
49
+ {"requests": {...} or {}, "display": {...}}.
50
+ The terminal turn's display has action HU (with fan/fanCnt/
51
+ score) or HUANG.'''
52
+
53
+ By default `canHu` and `tileCnt` inside displays are compared too (they
54
+ are exactly reproducible); use --loose to compare only
55
+ action/player/tile/tileCHI/hand/fan/fanCnt/score.
56
+
57
+ `--demo` runs engine mode with a built-in engine that replays the stored
58
+ turns (interface smoke test).
59
+
60
+ Dataset: https://huggingface.co/datasets/Dannibal/mcr-final2026-testset
61
+ """
62
+ import argparse
63
+ import gzip
64
+ import json
65
+ import sys
66
+ from collections import Counter
67
+
68
+ TILE_KINDS = ([c + str(n) for c in "WBT" for n in range(1, 10)]
69
+ + ["F" + str(n) for n in range(1, 5)]
70
+ + ["J" + str(n) for n in range(1, 4)])
71
+
72
+ CLAIM_PRIO = {"HU": 3, "GANG": 2, "PENG": 2, "CHI": 1}
73
+
74
+
75
+ class CheckFail(Exception):
76
+ pass
77
+
78
+
79
+ def _ck(cond, msg):
80
+ if not cond:
81
+ raise CheckFail(msg)
82
+
83
+
84
+ def classify_terminal(displays):
85
+ """Harness2 terminal semantics from the ordered display stream.
86
+ Returns dict(ending, winner, discarder, qianggang) — ending in
87
+ zimo|ron|draw. Ron off a PENG/CHI-embedded discard counts the claimer
88
+ as discarder; HU immediately after BUGANG is qianggang (robbed kong),
89
+ discarder = the BUGANG player."""
90
+ live = None # (tile, seat) of the unclaimed discard
91
+ prev = None
92
+ for d in displays:
93
+ a = d["action"]
94
+ if a == "DRAW":
95
+ live = None
96
+ elif a in ("PLAY", "PENG", "CHI"):
97
+ live = (d["tile"], d["player"])
98
+ elif a == "GANG":
99
+ live = None
100
+ elif a == "BUGANG":
101
+ live = None
102
+ elif a == "HUANG":
103
+ return dict(ending="draw", winner=None, discarder=None, qianggang=False)
104
+ elif a == "HU":
105
+ w = d["player"]
106
+ if prev is not None and prev["action"] == "BUGANG":
107
+ return dict(ending="ron", winner=w,
108
+ discarder=prev["player"], qianggang=True)
109
+ if live is not None:
110
+ return dict(ending="ron", winner=w, discarder=live[1], qianggang=False)
111
+ return dict(ending="zimo", winner=w, discarder=None, qianggang=False)
112
+ prev = d
113
+ return dict(ending="unknown", winner=None, discarder=None, qianggang=False)
114
+
115
+
116
+ def expected_scores(ending, winner, discarder, fan_total):
117
+ if ending == "draw":
118
+ return [0, 0, 0, 0]
119
+ sc = [0, 0, 0, 0]
120
+ if ending == "zimo":
121
+ for s in range(4):
122
+ sc[s] = 3 * (8 + fan_total) if s == winner else -(8 + fan_total)
123
+ else: # ron (incl. qianggang)
124
+ for s in range(4):
125
+ if s == winner:
126
+ sc[s] = 3 * 8 + fan_total
127
+ elif s == discarder:
128
+ sc[s] = -(8 + fan_total)
129
+ else:
130
+ sc[s] = -8
131
+ return sc
132
+
133
+
134
+ def check_record(rec):
135
+ """Full structural + semantic check of one dataset record.
136
+ Raises CheckFail on the first violation. Returns a dict of facts
137
+ (event counts etc.) usable for tagging."""
138
+ wall = rec["wall"]
139
+ _ck(len(wall) == 136, "wall length %d != 136" % len(wall))
140
+ _ck(Counter(wall) == Counter({t: 4 for t in TILE_KINDS}),
141
+ "wall is not 4x each of the 34 tile kinds")
142
+ segs = [wall[34 * s:34 * s + 34] for s in range(4)]
143
+ remain = [34, 34, 34, 34] # tiles left in each seat's segment
144
+ hands = [None] * 4
145
+ packs = [[] for _ in range(4)] # (type, tile, offer_seat)
146
+ live = None # (tile, seat) live unclaimed discard
147
+ prev_a = prev_p = None
148
+ turns = rec["turns"]
149
+ facts = Counter()
150
+ displays = [t["display"] for t in turns]
151
+
152
+ def hand_ok(s):
153
+ _ck(len(hands[s]) == 13 - 3 * len(packs[s]),
154
+ "seat %d hand size %d with %d melds" % (s, len(hands[s]), len(packs[s])))
155
+
156
+ for k, turn in enumerate(turns):
157
+ d = turn["display"]
158
+ a = d["action"]
159
+ nxt = turns[k + 1]["display"] if k + 1 < len(turns) else None
160
+ resp = turn.get("responses") or {}
161
+
162
+ if a == "INIT":
163
+ _ck(d.get("quan") == rec["quan"], "INIT quan mismatch")
164
+ _ck(d.get("srand") == rec["srand"], "INIT srand mismatch")
165
+ elif a == "DEAL":
166
+ for s in range(4):
167
+ expect = [segs[s][33 - i] for i in range(13)]
168
+ _ck(d["hand"][s] == expect,
169
+ "seat %d dealt hand != last-13-reversed of wall segment" % s)
170
+ hands[s] = list(d["hand"][s])
171
+ remain[s] = 21
172
+ elif a == "DRAW":
173
+ s, t = d["player"], d["tile"]
174
+ _ck(remain[s] > 0, "seat %d draws from empty segment" % s)
175
+ _ck(segs[s][remain[s] - 1] == t,
176
+ "draw %s != wall order tile %s" % (t, segs[s][remain[s] - 1]))
177
+ remain[s] -= 1
178
+ _ck(d["tileCnt"][s] == remain[s], "tileCnt mismatch after draw")
179
+ # rotation: replacement draw after own kong, else next seat
180
+ if prev_a in ("GANG", "BUGANG"):
181
+ _ck(s == prev_p, "replacement draw by wrong seat")
182
+ elif prev_a in ("PLAY", "PENG", "CHI"):
183
+ _ck(s == (prev_p + 1) % 4, "draw out of rotation")
184
+ elif prev_a == "DEAL":
185
+ _ck(s == 0, "first draw not by dealer (seat 0)")
186
+ live = None
187
+ hands[s].append(t)
188
+ # drawer's own response drives the next event
189
+ r = (resp.get(str(s)) or "").split()
190
+ if r:
191
+ if r[0] == "PLAY":
192
+ _ck(nxt and nxt["action"] == "PLAY" and nxt["player"] == s
193
+ and nxt["tile"] == r[1], "PLAY response not honored")
194
+ elif r[0] == "GANG":
195
+ _ck(nxt and nxt["action"] == "GANG" and nxt["player"] == s
196
+ and nxt.get("tile") == r[1], "AnGang response not honored")
197
+ elif r[0] == "BUGANG":
198
+ _ck(nxt and nxt["action"] == "BUGANG" and nxt["player"] == s
199
+ and nxt["tile"] == r[1], "BuGang response not honored")
200
+ elif r[0] == "HU":
201
+ _ck(nxt and nxt["action"] == "HU" and nxt["player"] == s,
202
+ "zimo HU response not honored")
203
+ elif a in ("PLAY", "PENG", "CHI"):
204
+ s = d["player"]
205
+ out = d["tile"]
206
+ if a == "PLAY":
207
+ _ck(prev_a == "DRAW" and prev_p == s, "PLAY not after own draw")
208
+ elif a == "PENG":
209
+ _ck(live is not None and live[1] != s, "PENG with no live discard")
210
+ ct = live[0]
211
+ _ck(hands[s].count(ct) >= 2, "PENG without 2 matching tiles in hand")
212
+ hands[s].remove(ct); hands[s].remove(ct)
213
+ packs[s].append(("PENG", ct, live[1]))
214
+ facts["minggang_or_peng"] += 1
215
+ facts["peng"] += 1
216
+ else: # CHI
217
+ _ck(live is not None, "CHI with no live discard")
218
+ ct, ds = live
219
+ _ck((s - ds) % 4 == 1, "CHI from non-left neighbour")
220
+ mid = d["tileCHI"]
221
+ _ck(ct[0] == mid[0] and mid[0] in "WBT", "CHI suit mismatch")
222
+ m, c = int(mid[1]), int(ct[1])
223
+ _ck(c in (m - 1, m, m + 1), "claimed tile not part of chi run")
224
+ need = [mid[0] + str(x) for x in (m - 1, m, m + 1) if x != c]
225
+ for tt in need:
226
+ _ck(tt in hands[s], "CHI filler %s not in hand" % tt)
227
+ hands[s].remove(tt)
228
+ packs[s].append(("CHI", mid, ds))
229
+ facts["chi"] += 1
230
+ # the embedded (PENG/CHI) or plain discard
231
+ _ck(out in hands[s], "discard %s not in hand" % out)
232
+ hands[s].remove(out)
233
+ hand_ok(s)
234
+ live = (out, s)
235
+ # claim arbitration on this discard
236
+ claims = {}
237
+ for ss in range(4):
238
+ if ss == s:
239
+ continue
240
+ rr = (resp.get(str(ss)) or "PASS").split()
241
+ if rr and rr[0] != "PASS":
242
+ claims[ss] = rr
243
+ if claims:
244
+ best = max(CLAIM_PRIO.get(rr[0], 0) for rr in claims.values())
245
+ winners = [ss for ss, rr in claims.items()
246
+ if CLAIM_PRIO.get(rr[0], 0) == best]
247
+ if len(winners) > 1: # multiple HU on one tile: nearest downstream
248
+ facts["multi_hu"] += 1
249
+ winners = sorted(winners, key=lambda ss: (ss - s) % 4)[:1]
250
+ if len(claims) > 1:
251
+ facts["multi_claim"] += 1
252
+ ws = winners[0]
253
+ rr = claims[ws]
254
+ _ck(nxt is not None, "claim pending but log ended")
255
+ _ck(nxt["player"] == ws,
256
+ "claim priority: expected seat %d to act next" % ws)
257
+ _ck({"HU": "HU", "PENG": "PENG", "CHI": "CHI",
258
+ "GANG": "GANG"}[rr[0]] == nxt["action"],
259
+ "granted claim %s != next event %s" % (rr[0], nxt["action"]))
260
+ if rr[0] == "PENG":
261
+ _ck(nxt["tile"] == rr[1], "PENG follow-up discard mismatch")
262
+ elif rr[0] == "CHI":
263
+ _ck(nxt["tileCHI"] == rr[1] and nxt["tile"] == rr[2],
264
+ "CHI mid/follow-up mismatch")
265
+ else:
266
+ _ck(nxt is not None and nxt["action"] in ("DRAW", "HUANG"),
267
+ "no claim: expected DRAW/HUANG next, got %s"
268
+ % (nxt and nxt["action"]))
269
+ elif a == "GANG":
270
+ s = d["player"]
271
+ t = d.get("tile")
272
+ if live is not None: # melded gang of the live discard
273
+ ct, ds = live
274
+ _ck(s != ds, "GANG own discard")
275
+ _ck(t == ct, "melded GANG tile %s != live discard %s" % (t, ct))
276
+ _ck(hands[s].count(ct) == 3, "melded GANG without 3 in hand")
277
+ for _ in range(3):
278
+ hands[s].remove(ct)
279
+ packs[s].append(("GANG", ct, ds))
280
+ live = None
281
+ facts["minggang"] += 1
282
+ else: # concealed kong after own draw
283
+ _ck(prev_a == "DRAW" and prev_p == s, "AnGang not after own draw")
284
+ _ck(hands[s].count(t) == 4, "AnGang without 4 in hand")
285
+ for _ in range(4):
286
+ hands[s].remove(t)
287
+ packs[s].append(("ANGANG", t, s))
288
+ facts["angang"] += 1
289
+ _ck(nxt is not None and ((nxt["action"] == "DRAW" and nxt["player"] == s)
290
+ or nxt["action"] == "HUANG"),
291
+ "no replacement draw after GANG")
292
+ elif a == "BUGANG":
293
+ s, t = d["player"], d["tile"]
294
+ up = [p for p in packs[s] if p[0] == "PENG" and p[1] == t]
295
+ _ck(up, "BUGANG without matching PENG meld")
296
+ _ck(t in hands[s], "BUGANG tile not in hand")
297
+ hands[s].remove(t)
298
+ packs[s][packs[s].index(up[0])] = ("GANG", t, up[0][2])
299
+ live = None
300
+ facts["bugang"] += 1
301
+ # qianggang arbitration
302
+ hus = [ss for ss in range(4) if ss != s
303
+ and (resp.get(str(ss)) or "PASS").split()[:1] == ["HU"]]
304
+ if hus:
305
+ _ck(nxt is not None and nxt["action"] == "HU"
306
+ and nxt["player"] in hus, "qianggang HU not honored")
307
+ else:
308
+ _ck(nxt is not None and ((nxt["action"] == "DRAW"
309
+ and nxt["player"] == s)
310
+ or nxt["action"] == "HUANG"),
311
+ "no replacement draw after BUGANG")
312
+ elif a == "HUANG":
313
+ nxt_drawer = (prev_p + 1) % 4 if prev_a in ("PLAY", "PENG", "CHI") \
314
+ else prev_p
315
+ _ck(remain[nxt_drawer] == 0,
316
+ "HUANG but next drawer still has %d wall tiles" % remain[nxt_drawer])
317
+ elif a == "HU":
318
+ pass # terminal block checked below
319
+ else:
320
+ raise CheckFail("unknown display action %r" % a)
321
+ prev_a, prev_p = a, d.get("player", prev_p)
322
+
323
+ # ---- terminal / expected block ----
324
+ exp = rec["expected"]
325
+ cls = classify_terminal(displays)
326
+ _ck(cls["ending"] == exp["ending"], "ending %s != expected %s"
327
+ % (cls["ending"], exp["ending"]))
328
+ _ck(cls["winner"] == exp["winner"], "winner mismatch")
329
+ _ck(cls["discarder"] == exp["discarder"], "discarder mismatch")
330
+ _ck(cls["qianggang"] == exp["qianggang"], "qianggang flag mismatch")
331
+ last = displays[-1]
332
+ if exp["ending"] == "draw":
333
+ _ck(last["action"] == "HUANG", "draw game does not end with HUANG")
334
+ _ck(exp["scores"] == [0, 0, 0, 0], "draw scores not all 0")
335
+ _ck(exp["fan_total"] == 0 and exp["fan"] == [], "draw with fan")
336
+ else:
337
+ _ck(last["action"] == "HU", "hu game does not end with HU")
338
+ fan_sum = sum(v * c for _, v, c in exp["fan"])
339
+ _ck(fan_sum == exp["fan_total"],
340
+ "fan list sums to %d != fan_total %d" % (fan_sum, exp["fan_total"]))
341
+ _ck(last["fanCnt"] == exp["fan_total"], "display fanCnt != fan_total")
342
+ _ck(list(last["score"]) == list(exp["scores"]), "display score != expected")
343
+ want = expected_scores(exp["ending"], exp["winner"], exp["discarder"],
344
+ exp["fan_total"])
345
+ _ck(want == list(exp["scores"]),
346
+ "score arithmetic: computed %s != logged %s" % (want, exp["scores"]))
347
+ _ck(exp["fan_total"] >= 8, "winning hand below the 8-fan minimum")
348
+ _ck(sum(exp["scores"]) == 0, "scores do not sum to 0")
349
+ facts[exp["ending"]] += 1
350
+ return dict(facts)
351
+
352
+
353
+ # ---------------------------------------------------------------- engine mode
354
+ LOOSE_KEYS = ("action", "player", "tile", "tileCHI", "hand", "fan", "fanCnt", "score")
355
+
356
+
357
+ def _disp_eq(a, b, loose):
358
+ if loose:
359
+ return all(a.get(k) == b.get(k) for k in LOOSE_KEYS)
360
+ ka = {k: v for k, v in a.items() if v is not None}
361
+ kb = {k: v for k, v in b.items() if v is not None}
362
+ return ka == kb
363
+
364
+
365
+ class DemoReplayEngine:
366
+ """Interface demo: 'engine' that replays the record's own stored turns."""
367
+
368
+ def bind(self, rec):
369
+ self._turns = rec["turns"]
370
+ self._i = 0
371
+
372
+ def reset(self, wall, quan, srand):
373
+ self._i = 0
374
+ return self._emit()
375
+
376
+ def step(self, responses):
377
+ return self._emit()
378
+
379
+ def _emit(self):
380
+ t = self._turns[self._i]
381
+ self._i += 1
382
+ return {"requests": t.get("request") or {}, "display": t["display"]}
383
+
384
+
385
+ def run_engine(engine, rec, loose=False):
386
+ """Drive `engine` through one game; raise CheckFail on first divergence."""
387
+ turns = rec["turns"]
388
+ out = engine.reset(list(rec["wall"]), rec["quan"], rec["srand"])
389
+ for k, turn in enumerate(turns):
390
+ _ck(_disp_eq(out["display"], turn["display"], loose),
391
+ "turn %d display diverged:\n engine: %s\n oracle: %s"
392
+ % (k, json.dumps(out["display"], ensure_ascii=False),
393
+ json.dumps(turn["display"], ensure_ascii=False)))
394
+ if turn.get("request"):
395
+ _ck(out.get("requests") == turn["request"],
396
+ "turn %d request strings diverged" % k)
397
+ if k + 1 < len(turns):
398
+ out = engine.step(dict(turn.get("responses") or {}))
399
+
400
+
401
+ # --------------------------------------------------------------------- driver
402
+ def iter_records(path):
403
+ op = gzip.open if path.endswith(".gz") else open
404
+ with op(path, "rt", encoding="utf-8") as f:
405
+ for line in f:
406
+ line = line.strip()
407
+ if line:
408
+ yield json.loads(line)
409
+
410
+
411
+ def _self_one(line):
412
+ rec = json.loads(line)
413
+ try:
414
+ check_record(rec)
415
+ return (rec["game_id"], None, rec.get("tags", []))
416
+ except CheckFail as e:
417
+ return (rec["game_id"], str(e), rec.get("tags", []))
418
+ except Exception as e: # noqa: BLE001
419
+ return (rec["game_id"], "internal: %r" % e, rec.get("tags", []))
420
+
421
+
422
+ def main():
423
+ ap = argparse.ArgumentParser(description=__doc__.split("\n")[0])
424
+ ap.add_argument("dataset", help=".jsonl or .jsonl.gz test file")
425
+ ap.add_argument("--self-test", action="store_true",
426
+ help="validate the dataset against the reference replay")
427
+ ap.add_argument("--engine", metavar="module:Class",
428
+ help="validate an engine implementation")
429
+ ap.add_argument("--demo", action="store_true",
430
+ help="engine mode with the built-in replay engine")
431
+ ap.add_argument("--loose", action="store_true",
432
+ help="engine mode: compare only core display keys")
433
+ ap.add_argument("--jobs", type=int, default=1)
434
+ ap.add_argument("--limit", type=int, default=0)
435
+ args = ap.parse_args()
436
+
437
+ if args.self_test:
438
+ op = gzip.open if args.dataset.endswith(".gz") else open
439
+ with op(args.dataset, "rt", encoding="utf-8") as f:
440
+ lines = [ln for ln in f if ln.strip()]
441
+ if args.limit:
442
+ lines = lines[:args.limit]
443
+ if args.jobs > 1:
444
+ import multiprocessing as mp
445
+ with mp.Pool(args.jobs) as pool:
446
+ results = pool.map(_self_one, lines, chunksize=16)
447
+ else:
448
+ results = [_self_one(ln) for ln in lines]
449
+ fails = [(g, e) for g, e, _ in results if e]
450
+ n_disc = sum(1 for _, _, tags in results if "gb_discrepancy" in tags)
451
+ print("self-test: %d/%d games PASS (%d known-discrepancy games included"
452
+ " — they pass: the judge is the ground truth)"
453
+ % (len(results) - len(fails), len(results), n_disc))
454
+ for g, e in fails[:20]:
455
+ print("FAIL %s: %s" % (g, e))
456
+ sys.exit(1 if fails else 0)
457
+
458
+ if args.demo or args.engine:
459
+ if args.demo:
460
+ eng = DemoReplayEngine()
461
+ else:
462
+ modname, clsname = args.engine.split(":")
463
+ mod = __import__(modname)
464
+ eng = getattr(mod, clsname)()
465
+ n = ok = 0
466
+ for rec in iter_records(args.dataset):
467
+ n += 1
468
+ if args.limit and n > args.limit:
469
+ n -= 1
470
+ break
471
+ if args.demo:
472
+ eng.bind(rec)
473
+ try:
474
+ run_engine(eng, rec, loose=args.loose)
475
+ ok += 1
476
+ except CheckFail as e:
477
+ print("FAIL %s: %s" % (rec["game_id"], e))
478
+ print("engine mode: %d/%d games reproduced exactly" % (ok, n))
479
+ sys.exit(0 if ok == n else 1)
480
+
481
+ ap.error("choose --self-test, --engine or --demo")
482
+
483
+
484
+ if __name__ == "__main__":
485
+ main()