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153 lines
5.8 KiB
C++
153 lines
5.8 KiB
C++
/*
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Stockfish, a UCI chess playing engine derived from Glaurung 2.1
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Copyright (C) 2004-2008 Tord Romstad (Glaurung author)
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Copyright (C) 2008-2015 Marco Costalba, Joona Kiiski, Tord Romstad
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Copyright (C) 2015-2019 Marco Costalba, Joona Kiiski, Gary Linscott, Tord Romstad
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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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#ifndef MOVEPICK_H_INCLUDED
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#define MOVEPICK_H_INCLUDED
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#include <array>
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#include <limits>
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#include <type_traits>
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#include "movegen.h"
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#include "position.h"
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#include "types.h"
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/// StatsEntry stores the stat table value. It is usually a number but could
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/// be a move or even a nested history. We use a class instead of naked value
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/// to directly call history update operator<<() on the entry so to use stats
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/// tables at caller sites as simple multi-dim arrays.
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template<typename T, int D>
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class StatsEntry {
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T entry;
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public:
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void operator=(const T& v) { entry = v; }
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T* operator&() { return &entry; }
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T* operator->() { return &entry; }
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operator const T&() const { return entry; }
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void operator<<(int bonus) {
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assert(abs(bonus) <= D); // Ensure range is [-D, D]
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static_assert(D <= std::numeric_limits<T>::max(), "D overflows T");
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entry += bonus - entry * abs(bonus) / D;
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assert(abs(entry) <= D);
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}
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};
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/// Stats is a generic N-dimensional array used to store various statistics.
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/// The first template parameter T is the base type of the array, the second
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/// template parameter D limits the range of updates in [-D, D] when we update
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/// values with the << operator, while the last parameters (Size and Sizes)
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/// encode the dimensions of the array.
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template <typename T, int D, int Size, int... Sizes>
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struct Stats : public std::array<Stats<T, D, Sizes...>, Size>
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{
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typedef Stats<T, D, Size, Sizes...> stats;
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void fill(const T& v) {
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// For standard-layout 'this' points to first struct member
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assert(std::is_standard_layout<stats>::value);
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typedef StatsEntry<T, D> entry;
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entry* p = reinterpret_cast<entry*>(this);
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std::fill(p, p + sizeof(*this) / sizeof(entry), v);
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}
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};
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template <typename T, int D, int Size>
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struct Stats<T, D, Size> : public std::array<StatsEntry<T, D>, Size> {};
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/// In stats table, D=0 means that the template parameter is not used
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enum StatsParams { NOT_USED = 0 };
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/// ButterflyHistory records how often quiet moves have been successful or
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/// unsuccessful during the current search, and is used for reduction and move
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/// ordering decisions. It uses 2 tables (one for each color) indexed by
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/// the move's from and to squares, see chessprogramming.wikispaces.com/Butterfly+Boards
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typedef Stats<int16_t, 10692, COLOR_NB, int(SQUARE_NB) * int(SQUARE_NB)> ButterflyHistory;
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/// CounterMoveHistory stores counter moves indexed by [piece][to] of the previous
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/// move, see chessprogramming.wikispaces.com/Countermove+Heuristic
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typedef Stats<Move, NOT_USED, PIECE_NB, SQUARE_NB> CounterMoveHistory;
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/// CapturePieceToHistory is addressed by a move's [piece][to][captured piece type]
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typedef Stats<int16_t, 10692, PIECE_NB, SQUARE_NB, PIECE_TYPE_NB> CapturePieceToHistory;
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/// PieceToHistory is like ButterflyHistory but is addressed by a move's [piece][to]
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typedef Stats<int16_t, 29952, PIECE_NB, SQUARE_NB> PieceToHistory;
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/// ContinuationHistory is the combined history of a given pair of moves, usually
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/// the current one given a previous one. The nested history table is based on
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/// PieceToHistory instead of ButterflyBoards.
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typedef Stats<PieceToHistory, NOT_USED, PIECE_NB, SQUARE_NB> ContinuationHistory;
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/// MovePicker class is used to pick one pseudo legal move at a time from the
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/// current position. The most important method is next_move(), which returns a
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/// new pseudo legal move each time it is called, until there are no moves left,
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/// when MOVE_NONE is returned. In order to improve the efficiency of the alpha
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/// beta algorithm, MovePicker attempts to return the moves which are most likely
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/// to get a cut-off first.
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class MovePicker {
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enum PickType { Next, Best };
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public:
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MovePicker(const MovePicker&) = delete;
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MovePicker& operator=(const MovePicker&) = delete;
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MovePicker(const Position&, Move, Value, const CapturePieceToHistory*);
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MovePicker(const Position&, Move, Depth, const ButterflyHistory*,
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const CapturePieceToHistory*,
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const PieceToHistory**,
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Square);
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MovePicker(const Position&, Move, Depth, const ButterflyHistory*,
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const CapturePieceToHistory*,
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const PieceToHistory**,
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Move,
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Move*);
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Move next_move(bool skipQuiets = false);
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private:
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template<PickType T, typename Pred> Move select(Pred);
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template<GenType> void score();
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ExtMove* begin() { return cur; }
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ExtMove* end() { return endMoves; }
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const Position& pos;
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const ButterflyHistory* mainHistory;
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const CapturePieceToHistory* captureHistory;
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const PieceToHistory** continuationHistory;
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Move ttMove;
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ExtMove refutations[3], *cur, *endMoves, *endBadCaptures;
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int stage;
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Move move;
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Square recaptureSquare;
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Value threshold;
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Depth depth;
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ExtMove moves[MAX_MOVES];
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};
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#endif // #ifndef MOVEPICK_H_INCLUDED
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