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dojo_cate/README.md
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eisterman 7b76b10175 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>
2026-09-26 16:29:22 +02:00

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# 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`](RULES.md) | The rulebook (English working draft). |
| [`board/FORMAT.md`](board/FORMAT.md) | How the board is written as text. |
| [`agents/plans/`](agents/plans/) | Active work plan: decisions, phases, open questions. |
## Setup
Requires [uv](https://docs.astral.sh/uv/). It installs the pinned Python and all tools:
```sh
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.
```sh
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`.
```sh
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
```sh
uv run pytest # tests
uv run ruff check . # lint
uv run ruff format . # format
uvx pyright src tests # type check
```