新增 Python 五子棋人机对战（Minimax + Threat Search）#2
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Motivation
Minimax+Alpha-Beta剪枝并结合威胁空间搜索以优先处理活四/冲四/活三等关键局面。Description
gomoku_dl/gomoku_game.py，在其中实现 Tkinter GUI、15×15 棋盘、点击落子、最后落子高亮、落子动画、悔棋与重新开始等玩法逻辑。Minimax+Alpha-Beta（搜索深度为4）、Threat Space Search、棋型评分表（活四 100000、冲四 10000、活三 5000、眠三 500、活二 100）与简化开局库。DeepPolicyNet（多层感知机）作为候选走子先验以改进候选排序并与博弈树混合。gomoku_dl/README.md并更新仓库根目录README.md，并通过after + threading在 UI 中实现电脑思考中…的异步行为以避免界面卡死。Testing
python -m py_compile gomoku_dl/gomoku_game.py，静态编译检查通过。get_best_move在空棋盘上返回中心点，验证返回值为(7, 7)（预期行为）。Codex Task