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@ -23,7 +23,7 @@ HashMap<uint64_t, NineChessAi_ab::HashValue> hashmap(hashsize);
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#endif // HASH_MAP_ENABLE
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#ifdef BOOK_LEARNING
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static constexpr int bookHashsize = 0x8000000; // 128M
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static constexpr int bookHashsize = 0x1000000; // 16M
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HashMap<uint64_t, NineChessAi_ab::HashValue> bookHashMap(bookHashsize);
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vector<uint64_t> openingBook;
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#endif // BOOK_LEARNING
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@ -573,8 +573,8 @@ int NineChessAi_ab::alphaBetaPruning(int depth)
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#ifdef BOOK_LEARNING
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if (chess_.getStage() == NineChess::GAME_PLACING)
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{
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if (chess_.context.nPiecesInHand_1 < 8) {
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// 不是一开始就记录到开局库, 几着之后再记录
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if (chess_.context.nPiecesInHand_1 == 0) {
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// 只记录摆棋阶段最后一着的局面
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openingBook.push_back(chess_.getHash());
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} else {
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// 暂时在此处清空开局库
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@ -1092,6 +1092,8 @@ void NineChessAi_ab::recordOpeningBookToHashMap()
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recordBookHash(hash, hashValue); // 暂时使用直接覆盖策略
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}
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//qDebug("Record %d items to Opening Book\n", openingBook.size());
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openingBook.clear();
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}
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#endif // BOOK_LEARNING
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