coolguyandClaude Opus 4.7
acb664c873
Drop checkpoint.directory from config — config defines what an experiment is, not where its outputs go. The CLI now computes the run directory from run.experiment_name plus a timestamp, defaulting to runs/tmp/ for throwaway runs and runs/ when --keep is passed. - Remove CheckpointConfig.directory and DeepCFRConfig.checkpoint_path - DeepCFRTrainer takes run_dir: Path explicitly - CLI: add --keep boolean; --resume requires an explicit path (no shortcut) - Auto path: runs/[tmp/]<YYYY-MM-DD_HHMMSS>_<experiment_name-kebab>/ - Rename 13 configs to kebab-case; strip directory: lines; kebab their experiment_name values - Rewrite AGENTS.md training/run sections; document archive/tmp/<flat> layout, --keep, kebab-case scope - Update tests for new run_dir flow and dropped --resume shortcut Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
coolrl-lost-cities
Focused Lost Cities extraction from the legacy coolrl repository.
The current implementation starts with the classic two-player card game:
- classic 5-expedition rules by default
- Python/Cython game engine
- env wrapper
- random, passive-discard, and safe-heuristic bots
- core rule, scoring, mask, env, canonical-state, bot, and GUI smoke tests
Training code, Deep CFR, learned-policy evaluation, GUI, and web client are intentionally outside the first port.
Development
uv run pytest tests/games/classic
uv run lost-cities-classic
For future GUI work, install the optional GUI dependencies:
uv sync --extra gui
Run the classic pygame GUI:
uv run lost-cities-classic-gui --mode pvc --bot safe-heuristic
The GUI uses the in-process Cython game engine.
Basic Usage
from coolrl_lost_cities.games.classic import GameState, build_bot, classic_config
state = GameState.new_game(classic_config(seed=1))
bot = build_bot("random", seed=1)
while not state.terminal:
state.apply_action(bot.act(state))
print(state.total_score(0), state.total_score(1))
See classic port notes for the current direction.