coolguyandClaude Opus 4.7
5c221fb3c6
Spot-check of the three drafts gemini produced in the --max 3 survey smoke test: all cited file paths exist, line numbers and function names land within 1-2 lines of actual symbols (game.pyx:217 cdef class GameState, evaluate.py:220 batched-entropy block, trainer.py:892 _evaluate_parallel, action_distribution at evaluate.py:238 with cited code at line 250 inside it). Numbers cross-checked against archives match. Conclusions preserved. The one systemic weakness was the Last-verified commit field: gemini left a `<short-hash>` placeholder, a literal `HEAD`, or omitted the commit entirely depending on the call. Fixed in two places: 1. Manually patched the three drafts before acceptance and copied them into docs/research/. 2. Added _current_commit_sha and _post_process_draft helpers to both librarian_survey.py and librarian_promote.py. The drafts now go through `**Last verified:**` line normalization that substitutes today's date and `git rev-parse --short HEAD` before being written to disk. Future runs converge deterministically. Net: docs/research/ gains classic-port-notes.md, deep-cfr-batched-evaluation.md, and deep-cfr-evaluation-profile.md. 12 archive entries remain unprocessed. 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.