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96 pmbaty 1
/*
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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) 2015-2016 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 <algorithm> // For std::max
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#include <cstring>   // For std::memset
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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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/// The Stats struct stores moves statistics. According to the template parameter
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/// the class can store History and Countermoves. History records how often
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/// different moves have been successful or unsuccessful during the current search
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/// and is used for reduction and move ordering decisions.
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/// Countermoves store the move that refute a previous one. Entries are stored
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/// using only the moving piece and destination square, hence two moves with
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/// different origin but same destination and piece will be considered identical.
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template<typename T, bool CM = false>
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struct Stats {
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  static const Value Max = Value(1 << 28);
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  const T* operator[](Piece pc) const { return table[pc]; }
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  T* operator[](Piece pc) { return table[pc]; }
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  void clear() { std::memset(table, 0, sizeof(table)); }
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  void update(Piece pc, Square to, Move m) { table[pc][to] = m; }
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  void update(Piece pc, Square to, Value v) {
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    if (abs(int(v)) >= 324)
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        return;
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    table[pc][to] -= table[pc][to] * abs(int(v)) / (CM ? 936 : 324);
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    table[pc][to] += int(v) * 32;
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  }
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private:
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  T table[PIECE_NB][SQUARE_NB];
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};
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typedef Stats<Move> MoveStats;
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typedef Stats<Value, false> HistoryStats;
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typedef Stats<Value,  true> CounterMoveStats;
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typedef Stats<CounterMoveStats> CounterMoveHistoryStats;
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struct FromToStats {
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  Value get(Color c, Move m) const { return table[c][from_sq(m)][to_sq(m)]; }
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  void clear() { std::memset(table, 0, sizeof(table)); }
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  void update(Color c, Move m, Value v) {
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    if (abs(int(v)) >= 324)
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        return;
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    Square from = from_sq(m);
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    Square to = to_sq(m);
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    table[c][from][to] -= table[c][from][to] * abs(int(v)) / 324;
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    table[c][from][to] += int(v) * 32;
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  }
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private:
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  Value table[COLOR_NB][SQUARE_NB][SQUARE_NB];
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};
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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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namespace Search { struct Stack; }
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class MovePicker {
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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);
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  MovePicker(const Position&, Move, Depth, Square);
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  MovePicker(const Position&, Move, Depth, Search::Stack*);
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  Move next_move();
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private:
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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 Search::Stack* ss;
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  Move countermove;
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  Depth depth;
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  Move ttMove;
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  Square recaptureSquare;
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  Value threshold;
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  int stage;
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  ExtMove *cur, *endMoves, *endBadCaptures;
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  ExtMove moves[MAX_MOVES];
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};
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#endif // #ifndef MOVEPICK_H_INCLUDED