7b76b101755519d502805ac600cfb4b9bb2eef72
`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>
Il Labirinto del Dojo
A small tabletop game (1–2 h, 3–8 players, best at 4), plus the tooling used to design and balance it.
| Document | What it is |
|---|---|
RULES.md |
The rulebook (English working draft). |
board/FORMAT.md |
How the board is written as text. |
agents/plans/ |
Active work plan: decisions, phases, open questions. |
Setup
Requires uv. It installs the pinned Python and all tools:
uv sync
Board
The board is authored as one 8x8 quadrant in board/quadrant.txt (tunnel links in
board/legend.toml) and rotated into the full 16x16 board.
uv run dojo board validate # check the board against the rules, print stats
uv run dojo board render # print the full 16x16 board
uv run dojo board render -o board/board.txt # regenerate the full board file (never edit it by hand)
uv run dojo board validate --quadrant other.txt --legend other.toml # check another draft
validate exits with 0 when the board is fine (warnings allowed), 1 on rule violations,
2 when the file is malformed or missing.
Simulation
Plays many seeded games with bots and prints metrics per scenario. Every combination of the
listed values is a scenario; game i of each scenario uses seed --seed + i, and the lineup
rotates one seat per game. Bots: random, balanced, farmer, aggressive.
uv run dojo sim # variants A and B, 4 players, 200 games each
uv run dojo sim --games 1000 --csv games.csv # more games; one CSV row per game
uv run dojo sim --variant B --players 3 4 6 8 --start 0 3 # player counts x start position
uv run dojo sim --kiai 2 1 # Kiai +2 vs +1
uv run dojo sim --lineup balanced,random balanced # several lineups (comma-separated seats)
uv run dojo sim --seed 42 --jobs 1 # other dice; single process
Minutes are estimated as 45 s per turn plus 30 s per Kumite.
Development
uv run pytest # tests
uv run ruff check . # lint
uv run ruff format . # format
uvx pyright src tests # type check
Description
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