coolguyandClaude Opus 4.7
f5ce49682e
scripts/librarian_promote.py gains a --accept flag that copies the generated draft to the suggested docs/research/ target in the same invocation. This is explicit per-invocation opt-in, not auto-apply: the operator types --accept knowingly, the cp is still a deliberate acceptance decision, just expressed in one command instead of two. docs/research/option-a-bench-result.md is the first promoted note, generated by gemini from docs/archive/option-a-bench-result-2026-05-07.md and accepted verbatim. Spot-check verified that cited file:line locations match current source (traversal.pyx:473-475 and inference_server.py:226-228 carry the cited code), the Last-verified header reflects today's date and HEAD, and the durable conclusion (sync-blocking policy boundary as the structural ceiling, not IPC plumbing) is preserved. This closes the end-to-end loop the librarian was designed for: oversize check surfaced docs/performance.md, the routing pass split durable analysis into the archive entry, the promote dispatcher turned the archive entry into a research draft, and the human accept step landed it as a tracked research note. Took one LLM call. Removes the now-resolved ignore-list entry for docs/research/option-a-bench-result.md (the file exists; the forward reference is real). scripts/librarian.sh exits 0 against the working tree. 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.