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This patch ports the efficiently updatable neural network (NNUE) evaluation to Stockfish. Both the NNUE and the classical evaluations are available, and can be used to assign a value to a position that is later used in alpha-beta (PVS) search to find the best move. The classical evaluation computes this value as a function of various chess concepts, handcrafted by experts, tested and tuned using fishtest. The NNUE evaluation computes this value with a neural network based on basic inputs. The network is optimized and trained on the evalutions of millions of positions at moderate search depth. The NNUE evaluation was first introduced in shogi, and ported to Stockfish afterward. It can be evaluated efficiently on CPUs, and exploits the fact that only parts of the neural network need to be updated after a typical chess move. [The nodchip repository](https://github.com/nodchip/Stockfish) provides additional tools to train and develop the NNUE networks. This patch is the result of contributions of various authors, from various communities, including: nodchip, ynasu87, yaneurao (initial port and NNUE authors), domschl, FireFather, rqs, xXH4CKST3RXx, tttak, zz4032, joergoster, mstembera, nguyenpham, erbsenzaehler, dorzechowski, and vondele. This new evaluation needed various changes to fishtest and the corresponding infrastructure, for which tomtor, ppigazzini, noobpwnftw, daylen, and vondele are gratefully acknowledged. The first networks have been provided by gekkehenker and sergiovieri, with the latter net (nn-97f742aaefcd.nnue) being the current default. The evaluation function can be selected at run time with the `Use NNUE` (true/false) UCI option, provided the `EvalFile` option points the the network file (depending on the GUI, with full path). The performance of the NNUE evaluation relative to the classical evaluation depends somewhat on the hardware, and is expected to improve quickly, but is currently on > 80 Elo on fishtest: 60000 @ 10+0.1 th 1 https://tests.stockfishchess.org/tests/view/5f28fe6ea5abc164f05e4c4c ELO: 92.77 +-2.1 (95%) LOS: 100.0% Total: 60000 W: 24193 L: 8543 D: 27264 Ptnml(0-2): 609, 3850, 9708, 10948, 4885 40000 @ 20+0.2 th 8 https://tests.stockfishchess.org/tests/view/5f290229a5abc164f05e4c58 ELO: 89.47 +-2.0 (95%) LOS: 100.0% Total: 40000 W: 12756 L: 2677 D: 24567 Ptnml(0-2): 74, 1583, 8550, 7776, 2017 At the same time, the impact on the classical evaluation remains minimal, causing no significant regression: sprt @ 10+0.1 th 1 https://tests.stockfishchess.org/tests/view/5f2906a2a5abc164f05e4c5b LLR: 2.94 (-2.94,2.94) {-6.00,-4.00} Total: 34936 W: 6502 L: 6825 D: 21609 Ptnml(0-2): 571, 4082, 8434, 3861, 520 sprt @ 60+0.6 th 1 https://tests.stockfishchess.org/tests/view/5f2906cfa5abc164f05e4c5d LLR: 2.93 (-2.94,2.94) {-6.00,-4.00} Total: 10088 W: 1232 L: 1265 D: 7591 Ptnml(0-2): 49, 914, 3170, 843, 68 The needed networks can be found at https://tests.stockfishchess.org/nns It is recommended to use the default one as indicated by the `EvalFile` UCI option. Guidelines for testing new nets can be found at https://github.com/glinscott/fishtest/wiki/Creating-my-first-test#nnue-net-tests Integration has been discussed in various issues: https://github.com/official-stockfish/Stockfish/issues/2823 https://github.com/official-stockfish/Stockfish/issues/2728 The integration branch will be closed after the merge: https://github.com/official-stockfish/Stockfish/pull/2825 https://github.com/official-stockfish/Stockfish/tree/nnue-player-wip closes https://github.com/official-stockfish/Stockfish/pull/2912 This will be an exciting time for computer chess, looking forward to seeing the evolution of this approach. Bench: 4746616
160 lines
6.0 KiB
C++
160 lines
6.0 KiB
C++
/*
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Stockfish, a UCI chess playing engine derived from Glaurung 2.1
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Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
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Stockfish is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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Stockfish is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <fstream>
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#include <iostream>
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#include <istream>
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#include <vector>
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#include "position.h"
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using namespace std;
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namespace {
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const vector<string> Defaults = {
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"setoption name UCI_Chess960 value false",
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"rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1",
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"r3k2r/p1ppqpb1/bn2pnp1/3PN3/1p2P3/2N2Q1p/PPPBBPPP/R3K2R w KQkq - 0 10",
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"8/2p5/3p4/KP5r/1R3p1k/8/4P1P1/8 w - - 0 11",
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"4rrk1/pp1n3p/3q2pQ/2p1pb2/2PP4/2P3N1/P2B2PP/4RRK1 b - - 7 19",
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"rq3rk1/ppp2ppp/1bnpb3/3N2B1/3NP3/7P/PPPQ1PP1/2KR3R w - - 7 14 moves d4e6",
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"r1bq1r1k/1pp1n1pp/1p1p4/4p2Q/4Pp2/1BNP4/PPP2PPP/3R1RK1 w - - 2 14 moves g2g4",
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"r3r1k1/2p2ppp/p1p1bn2/8/1q2P3/2NPQN2/PPP3PP/R4RK1 b - - 2 15",
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"r1bbk1nr/pp3p1p/2n5/1N4p1/2Np1B2/8/PPP2PPP/2KR1B1R w kq - 0 13",
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"r1bq1rk1/ppp1nppp/4n3/3p3Q/3P4/1BP1B3/PP1N2PP/R4RK1 w - - 1 16",
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"4r1k1/r1q2ppp/ppp2n2/4P3/5Rb1/1N1BQ3/PPP3PP/R5K1 w - - 1 17",
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"2rqkb1r/ppp2p2/2npb1p1/1N1Nn2p/2P1PP2/8/PP2B1PP/R1BQK2R b KQ - 0 11",
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"r1bq1r1k/b1p1npp1/p2p3p/1p6/3PP3/1B2NN2/PP3PPP/R2Q1RK1 w - - 1 16",
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"3r1rk1/p5pp/bpp1pp2/8/q1PP1P2/b3P3/P2NQRPP/1R2B1K1 b - - 6 22",
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"r1q2rk1/2p1bppp/2Pp4/p6b/Q1PNp3/4B3/PP1R1PPP/2K4R w - - 2 18",
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"4k2r/1pb2ppp/1p2p3/1R1p4/3P4/2r1PN2/P4PPP/1R4K1 b - - 3 22",
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"3q2k1/pb3p1p/4pbp1/2r5/PpN2N2/1P2P2P/5PP1/Q2R2K1 b - - 4 26",
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"6k1/6p1/6Pp/ppp5/3pn2P/1P3K2/1PP2P2/3N4 b - - 0 1",
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"3b4/5kp1/1p1p1p1p/pP1PpP1P/P1P1P3/3KN3/8/8 w - - 0 1",
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"2K5/p7/7P/5pR1/8/5k2/r7/8 w - - 0 1 moves g5g6 f3e3 g6g5 e3f3",
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"8/6pk/1p6/8/PP3p1p/5P2/4KP1q/3Q4 w - - 0 1",
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"7k/3p2pp/4q3/8/4Q3/5Kp1/P6b/8 w - - 0 1",
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"8/2p5/8/2kPKp1p/2p4P/2P5/3P4/8 w - - 0 1",
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"8/1p3pp1/7p/5P1P/2k3P1/8/2K2P2/8 w - - 0 1",
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"8/pp2r1k1/2p1p3/3pP2p/1P1P1P1P/P5KR/8/8 w - - 0 1",
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"8/3p4/p1bk3p/Pp6/1Kp1PpPp/2P2P1P/2P5/5B2 b - - 0 1",
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"5k2/7R/4P2p/5K2/p1r2P1p/8/8/8 b - - 0 1",
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"6k1/6p1/P6p/r1N5/5p2/7P/1b3PP1/4R1K1 w - - 0 1",
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"1r3k2/4q3/2Pp3b/3Bp3/2Q2p2/1p1P2P1/1P2KP2/3N4 w - - 0 1",
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"6k1/4pp1p/3p2p1/P1pPb3/R7/1r2P1PP/3B1P2/6K1 w - - 0 1",
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"8/3p3B/5p2/5P2/p7/PP5b/k7/6K1 w - - 0 1",
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"5rk1/q6p/2p3bR/1pPp1rP1/1P1Pp3/P3B1Q1/1K3P2/R7 w - - 93 90",
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"4rrk1/1p1nq3/p7/2p1P1pp/3P2bp/3Q1Bn1/PPPB4/1K2R1NR w - - 40 21",
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"r3k2r/3nnpbp/q2pp1p1/p7/Pp1PPPP1/4BNN1/1P5P/R2Q1RK1 w kq - 0 16",
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"3Qb1k1/1r2ppb1/pN1n2q1/Pp1Pp1Pr/4P2p/4BP2/4B1R1/1R5K b - - 11 40",
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"4k3/3q1r2/1N2r1b1/3ppN2/2nPP3/1B1R2n1/2R1Q3/3K4 w - - 5 1",
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// 5-man positions
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"8/8/8/8/5kp1/P7/8/1K1N4 w - - 0 1", // Kc2 - mate
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"8/8/8/5N2/8/p7/8/2NK3k w - - 0 1", // Na2 - mate
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"8/3k4/8/8/8/4B3/4KB2/2B5 w - - 0 1", // draw
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// 6-man positions
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"8/8/1P6/5pr1/8/4R3/7k/2K5 w - - 0 1", // Re5 - mate
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"8/2p4P/8/kr6/6R1/8/8/1K6 w - - 0 1", // Ka2 - mate
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"8/8/3P3k/8/1p6/8/1P6/1K3n2 b - - 0 1", // Nd2 - draw
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// 7-man positions
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"8/R7/2q5/8/6k1/8/1P5p/K6R w - - 0 124", // Draw
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// Mate and stalemate positions
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"6k1/3b3r/1p1p4/p1n2p2/1PPNpP1q/P3Q1p1/1R1RB1P1/5K2 b - - 0 1",
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"r2r1n2/pp2bk2/2p1p2p/3q4/3PN1QP/2P3R1/P4PP1/5RK1 w - - 0 1",
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"8/8/8/8/8/6k1/6p1/6K1 w - -",
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"7k/7P/6K1/8/3B4/8/8/8 b - -",
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// Chess 960
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"setoption name UCI_Chess960 value true",
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"bbqnnrkr/pppppppp/8/8/8/8/PPPPPPPP/BBQNNRKR w HFhf - 0 1 moves g2g3 d7d5 d2d4 c8h3 c1g5 e8d6 g5e7 f7f6",
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"setoption name UCI_Chess960 value false"
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};
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} // namespace
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/// setup_bench() builds a list of UCI commands to be run by bench. There
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/// are five parameters: TT size in MB, number of search threads that
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/// should be used, the limit value spent for each position, a file name
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/// where to look for positions in FEN format and the type of the limit:
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/// depth, perft, nodes and movetime (in millisecs).
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///
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/// bench -> search default positions up to depth 13
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/// bench 64 1 15 -> search default positions up to depth 15 (TT = 64MB)
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/// bench 64 4 5000 current movetime -> search current position with 4 threads for 5 sec
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/// bench 64 1 100000 default nodes -> search default positions for 100K nodes each
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/// bench 16 1 5 default perft -> run a perft 5 on default positions
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vector<string> setup_bench(const Position& current, istream& is) {
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vector<string> fens, list;
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string go, token;
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// Assign default values to missing arguments
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string ttSize = (is >> token) ? token : "16";
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string threads = (is >> token) ? token : "1";
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string limit = (is >> token) ? token : "13";
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string fenFile = (is >> token) ? token : "default";
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string limitType = (is >> token) ? token : "depth";
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go = limitType == "eval" ? "eval" : "go " + limitType + " " + limit;
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if (fenFile == "default")
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fens = Defaults;
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else if (fenFile == "current")
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fens.push_back(current.fen());
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else
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{
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string fen;
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ifstream file(fenFile);
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if (!file.is_open())
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{
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cerr << "Unable to open file " << fenFile << endl;
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exit(EXIT_FAILURE);
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}
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while (getline(file, fen))
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if (!fen.empty())
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fens.push_back(fen);
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file.close();
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}
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list.emplace_back("setoption name Threads value " + threads);
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list.emplace_back("setoption name Hash value " + ttSize);
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list.emplace_back("ucinewgame");
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for (const string& fen : fens)
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if (fen.find("setoption") != string::npos)
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list.emplace_back(fen);
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else
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{
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list.emplace_back("position fen " + fen);
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list.emplace_back(go);
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}
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return list;
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}
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