로스트 시티 클래식 코어 이식

맥락:
- 새 레포의 첫 범위를 RL 없는 Lost Cities classic 게임 구현으로 잡았다.
- 기존 tier0-3 실험 축은 제거하고 classic 5-expedition 룰을 기본값으로 둔다.

변경:
- games/classic 아래에 Cython 게임 엔진, env, bots, backend 경계, Rust core와 proto schema를 이식했다.
- setuptools/Cython 빌드 설정과 package data, README, classic port notes를 추가했다.
- 룰, 점수, 마스크, env, canonical state, bot, Rust parity 테스트를 새 경로로 가져왔다.

확인:
- uv run pytest tests/games/classic
- uv run lost-cities-classic

docs/classic-port-notes.md

@@ -0,0 +1,82 @@
+# Classic Port Notes
+
+This repository starts as a focused extraction of the Lost Cities game from the
+legacy `coolrl` repository. The first target is the classic two-player card
+game, without the earlier training-oriented tiers.
+
+## Current Direction
+
+- Implement the classic Lost Cities rules first.
+- Treat classic as the initial concrete game under `coolrl_lost_cities.games`.
+- Do not carry over `tier0` through `tier3`; those were useful for experiments,
+  but they should not shape the first public game API.
+- Keep backend selection available. The Python/Cython and Rust implementations
+  should remain swappable behind a small backend boundary.
+- Keep the GUI and Rust implementation in scope for the port.
+- Keep RL and training code out of the first extraction.
+
+The expected package shape is roughly:
+
+```text
+src/coolrl_lost_cities/
+  games/
+    classic/
+      game.pyx
+      env.py
+      interfaces.py
+      backends/
+      bots/
+      pygame_pvp.py
+      fixtures/
+      assets/
+      docs/
+      rust_core/
+```
+
+Tests should live outside the package, roughly under:
+
+```text
+tests/games/classic/
+```
+
+## Out Of Scope For The First Port
+
+- Deep CFR
+- General training infrastructure
+- Evaluation loops for learned policies
+- Web client
+- Legacy experiment configs, checkpoints, logs, exports, and analysis artifacts
+
+Bot-vs-bot helpers can stay with the classic game if they are useful for smoke
+tests and local play. Broader policy evaluation can be introduced later with the
+training layer.
+
+## Later Training Shape
+
+If training is added later, it should not make Deep CFR the center of the
+package. Evaluation and policy interfaces should be general enough for multiple
+approaches, with Deep CFR as one implementation.
+
+A possible future shape:
+
+```text
+src/coolrl_lost_cities/
+  games/
+    classic/
+  training/
+    policies.py
+    evaluation.py
+    deep_cfr/
+    imitation/
+    policy_gradient/
+```
+
+The game package should expose rules, state transitions, legal actions, scoring,
+backend selection, and playable UI. Training code can adapt those pieces later.
+
+## Naming Notes
+
+For now, use `classic` for the five-expedition game. Other variants, such as a
+six-expedition version, can be added later if needed. The current port should
+avoid adding a variant registry or broad abstraction before there is a second
+concrete game to support.