Add Monte Carlo simulator, game metrics and sim CLI (Phase 5)
`dojo sim` plays seeded games over a scenario matrix (variant, players, Kiai bonus, start position, bot lineup) in parallel, prints a summary per scenario and optionally writes one CSV row per game. Metrics are replayed from the event log. Plan updated with the Phase 5 baseline. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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@@ -56,3 +56,28 @@ def test_legend_next_to_the_quadrant_is_used_by_default(
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assert main(["board", "validate", "--quadrant", str(quadrant)]) == EXIT_FORMAT_ERRORS
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assert "legend links tunnel '9'" in capsys.readouterr().err
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def test_sim_prints_a_summary_per_scenario_and_writes_games(
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tmp_path: Path, capsys: pytest.CaptureFixture[str]
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) -> None:
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games = tmp_path / "games.csv"
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argv = ["sim", "--games", "2", "--variant", "A", "B", "--players", "3", "--jobs", "1"]
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assert main([*argv, "--csv", str(games)]) == EXIT_OK
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output = capsys.readouterr().out
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assert "== A p3 kiai+2 start0 balanced,farmer,aggressive (2 games" in output
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assert "== B p3 kiai+2 start0" in output
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rows = games.read_text(encoding="utf-8").splitlines()
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assert rows[0].startswith("scenario,seed,lineup,winner_seat")
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assert len(rows) == 1 + 4
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@pytest.mark.parametrize("bad", [["--lineup", "balanced,cheater"], ["--games", "0"]])
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def test_sim_rejects_bad_arguments(bad: list[str], capsys: pytest.CaptureFixture[str]) -> None:
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with pytest.raises(SystemExit) as exit_info:
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main(["sim", *bad])
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assert exit_info.value.code == 2
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assert "error:" in capsys.readouterr().err
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@@ -0,0 +1,108 @@
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from dataclasses import replace
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import pytest
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from dojo.board import Pos
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from dojo.events import (
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Event,
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ExamTaken,
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FightKind,
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GameOver,
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KumiteFought,
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Moved,
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Source,
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TrackChanged,
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TurnStarted,
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)
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from dojo.metrics import KUMITE_SECONDS, TURN_SECONDS, GameMetrics, measure, summarize
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from dojo.rules import VARIANT_A
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CORNERS = (0, 1)
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BOTS = ("balanced", "random")
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HOME_0 = Pos(0, 1) # quadrant 0
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HOME_1 = Pos(0, 14) # quadrant 1
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def fought(attacker: int, defender: int, kind: FightKind, *, exam: bool = False) -> KumiteFought:
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return KumiteFought(attacker, defender, 0, 0, 4, 3, True, kind, exam, cards=())
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def run(events: list[Event]) -> GameMetrics:
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return measure(events, VARIANT_A, CORNERS, BOTS, scenario="test", seed=3)
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def test_measure_counts_fights_income_and_leads() -> None:
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metrics = run(
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[
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TurnStarted(1, 0, 7),
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Moved(0, (HOME_0,)),
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TrackChanged(0, 0, 1, Source.SQUARE),
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TurnStarted(1, 1, 5),
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Moved(1, (HOME_0,)),
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TrackChanged(1, 0, 1, Source.SQUARE),
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fought(1, 0, FightKind.EQUAL),
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TrackChanged(1, 1, 4, Source.KUMITE),
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TrackChanged(0, 1, 0, Source.KUMITE),
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fought(1, 0, FightKind.UPSET),
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TurnStarted(2, 0, 6),
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fought(1, 0, FightKind.EXPECTED), # Player 1 defends: not part of a chain.
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TrackChanged(0, 0, 5, Source.CARD),
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fought(0, 1, FightKind.EQUAL, exam=True),
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ExamTaken(0, 1, passed=True),
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GameOver(0, 2),
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]
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)
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assert (metrics.kumite, metrics.upsets, metrics.expected_wins) == (3, 1, 1)
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assert metrics.max_chain == 2
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assert (metrics.exam_attempts, metrics.exam_passes) == (1, 1)
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assert (metrics.income_square, metrics.income_kumite, metrics.income_card) == (2, 2, 5)
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assert (metrics.square_income_home, metrics.square_income_away) == (1, 1)
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# Leader: 0 (1-0), tie (1-1) keeps it, 1 (0-4), 0 (5-4).
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assert metrics.lead_changes == 2
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assert metrics.final_spread == 1
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assert (metrics.winner_seat, metrics.winner_bot, metrics.rounds) == (0, "balanced", 2)
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assert metrics.minutes == pytest.approx(round((3 * TURN_SECONDS + 4 * KUMITE_SECONDS) / 60, 1))
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def test_measure_tracks_turns_started_on_14() -> None:
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metrics = run(
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[
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TrackChanged(0, 0, 14, Source.CARD),
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TurnStarted(1, 0, 7),
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TurnStarted(1, 1, 7),
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TurnStarted(2, 0, 7),
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TrackChanged(0, 14, 15, Source.KUMITE),
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TurnStarted(2, 1, 7),
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TurnStarted(3, 0, 7),
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TrackChanged(0, 15, 14, Source.SQUARE),
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TurnStarted(4, 0, 7),
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GameOver(None, 4),
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]
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)
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assert metrics.turns_on_14 == 3
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assert metrics.longest_14_streak == 2
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assert metrics.winner_seat is None
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def test_summarize_splits_wins_by_seat_and_bot() -> None:
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base = run([GameOver(None, 10)])
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rows = [
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replace(base, winner_seat=0, winner_bot="balanced"),
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replace(base, lineup="random,balanced", winner_seat=1, winner_bot="balanced"),
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replace(base, lineup="random,balanced", winner_seat=0, winner_bot="random"),
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base,
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]
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summary = summarize("test", rows)
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assert summary.finished == 0.75
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assert summary.win_rate_by_seat == (0.5, 0.25)
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assert summary.win_rate_by_bot == {"balanced": 0.5, "random": 0.25}
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assert summary.rounds.median == 10
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def test_summarize_needs_games() -> None:
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with pytest.raises(ValueError, match="no games"):
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summarize("test", [])
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@@ -0,0 +1,58 @@
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from pathlib import Path
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import pytest
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from dojo.sim import BoardFiles, Scenario, matrix, run
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BOARD = Path(__file__).parent.parent / "board"
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FILES = BoardFiles(BOARD / "quadrant.txt", BOARD / "legend.toml")
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LINEUP = ("balanced", "random")
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def test_matrix_crosses_every_axis() -> None:
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scenarios = matrix(["A", "B"], [3, 4], [2, 1], [0], [LINEUP])
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assert len(scenarios) == 8
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assert scenarios[0].name == "A p3 kiai+2 start0 balanced,random"
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assert scenarios[-1].config.kiai_bonus == 1
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assert scenarios[-1].config.brown_requires_kumite
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def test_lineup_fills_the_seats_and_rotates_each_game() -> None:
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scenario = Scenario("A", 3, 2, 0, LINEUP)
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assert scenario.seating(0) == ("balanced", "random", "balanced")
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assert scenario.seating(1) == ("random", "balanced", "balanced")
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assert scenario.seating(3) == scenario.seating(0)
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@pytest.mark.parametrize(
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("variant", "players", "lineup", "message"),
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[
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("C", 4, LINEUP, "unknown variant"),
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("A", 4, ("balanced", "cheater"), "unknown bots"),
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("A", 4, (), "unknown bots"),
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("A", 9, LINEUP, "supported range"),
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],
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)
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def test_invalid_scenarios_are_rejected(
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variant: str, players: int, lineup: tuple[str, ...], message: str
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) -> None:
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with pytest.raises(ValueError, match=message):
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Scenario(variant, players, 2, 0, lineup)
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def test_runs_are_reproducible_and_independent_of_worker_count() -> None:
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scenarios = matrix(["A", "B"], [3], [2], [0], [LINEUP])
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serial = run(FILES, scenarios, games=2, seed=5, jobs=1)
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parallel = run(FILES, scenarios, games=2, seed=5, jobs=2)
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assert serial == parallel
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assert [(g.scenario, g.seed) for g in serial] == [
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(scenarios[0].name, 5),
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(scenarios[0].name, 6),
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(scenarios[1].name, 5),
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(scenarios[1].name, 6),
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]
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assert serial[1].lineup == "random,balanced,balanced"
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