Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2008 Tord Romstad (Glaurung author)
Copyright (C) 2008-2015 Marco Costalba, Joona Kiiski, Tord Romstad
- Copyright (C) 2015-2019 Marco Costalba, Joona Kiiski, Gary Linscott, Tord Romstad
+ Copyright (C) 2015-2020 Marco Costalba, Joona Kiiski, Gary Linscott, Tord Romstad
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
// Different node types, used as a template parameter
enum NodeType { NonPV, PV };
+ constexpr uint64_t ttHitAverageWindow = 4096;
+ constexpr uint64_t ttHitAverageResolution = 1024;
+
// Razor and futility margins
- constexpr int RazorMargin = 661;
+ constexpr int RazorMargin = 531;
Value futility_margin(Depth d, bool improving) {
- return Value(198 * (d - improving));
+ return Value(217 * (d - improving));
}
// Reductions lookup table, initialized at startup
Depth reduction(bool i, Depth d, int mn) {
int r = Reductions[d] * Reductions[mn];
- return (r + 520) / 1024 + (!i && r > 999);
+ return (r + 511) / 1024 + (!i && r > 1007);
}
constexpr int futility_move_count(bool improving, Depth depth) {
- return (5 + depth * depth) * (1 + improving) / 2;
+ return (5 + depth * depth) * (1 + improving) / 2 - 1;
}
// History and stats update bonus, based on depth
int stat_bonus(Depth d) {
- return d > 17 ? -8 : 22 * d * d + 151 * d - 140;
+ return d > 15 ? -8 : 19 * d * d + 155 * d - 132;
}
// Add a small random component to draw evaluations to avoid 3fold-blindness
Value qsearch(Position& pos, Stack* ss, Value alpha, Value beta, Depth depth = 0);
Value value_to_tt(Value v, int ply);
- Value value_from_tt(Value v, int ply);
+ Value value_from_tt(Value v, int ply, int r50c);
void update_pv(Move* pv, Move move, Move* childPv);
void update_continuation_histories(Stack* ss, Piece pc, Square to, int bonus);
- void update_quiet_stats(const Position& pos, Stack* ss, Move move, Move* quiets, int quietCount, int bonus);
- void update_capture_stats(const Position& pos, Move move, Move* captures, int captureCount, int bonus);
+ void update_quiet_stats(const Position& pos, Stack* ss, Move move, int bonus);
+ void update_all_stats(const Position& pos, Stack* ss, Move bestMove, Value bestValue, Value beta, Square prevSq,
+ Move* quietsSearched, int quietCount, Move* capturesSearched, int captureCount, Depth depth);
// perft() is our utility to verify move generation. All the leaf nodes up
// to the given depth are generated and counted, and the sum is returned.
void Search::init() {
for (int i = 1; i < MAX_MOVES; ++i)
- Reductions[i] = int((23.4 + std::log(Threads.size()) / 2) * std::log(i));
+ Reductions[i] = int((24.8 + std::log(Threads.size()) / 2) * std::log(i));
}
votes[th->rootMoves[0].pv[0]] +=
(th->rootMoves[0].score - minScore + 14) * int(th->completedDepth);
- if (bestThread->rootMoves[0].score >= VALUE_MATE_IN_MAX_PLY)
+ if (bestThread->rootMoves[0].score >= VALUE_TB_WIN_IN_MAX_PLY)
{
// Make sure we pick the shortest mate
if (th->rootMoves[0].score > bestThread->rootMoves[0].score)
bestThread = th;
}
- else if ( th->rootMoves[0].score >= VALUE_MATE_IN_MAX_PLY
+ else if ( th->rootMoves[0].score >= VALUE_TB_WIN_IN_MAX_PLY
|| votes[th->rootMoves[0].pv[0]] > votes[bestThread->rootMoves[0].pv[0]])
bestThread = th;
}
MainThread* mainThread = (this == Threads.main() ? Threads.main() : nullptr);
double timeReduction = 1, totBestMoveChanges = 0;
Color us = rootPos.side_to_move();
+ int iterIdx = 0;
std::memset(ss-7, 0, 10 * sizeof(Stack));
for (int i = 7; i > 0; i--)
bestValue = delta = alpha = -VALUE_INFINITE;
beta = VALUE_INFINITE;
+ if (mainThread)
+ {
+ if (mainThread->previousScore == VALUE_INFINITE)
+ for (int i=0; i<4; ++i)
+ mainThread->iterValue[i] = VALUE_ZERO;
+ else
+ for (int i=0; i<4; ++i)
+ mainThread->iterValue[i] = mainThread->previousScore;
+ }
+
size_t multiPV = Options["MultiPV"];
// Pick integer skill levels, but non-deterministically round up or down
multiPV = std::max(multiPV, (size_t)4);
multiPV = std::min(multiPV, rootMoves.size());
+ ttHitAverage = ttHitAverageWindow * ttHitAverageResolution / 2;
int ct = int(Options["Contempt"]) * PawnValueEg / 100; // From centipawns
contempt = (us == WHITE ? make_score(ct, ct / 2)
: -make_score(ct, ct / 2));
+ int searchAgainCounter = 0;
+
// Iterative deepening loop until requested to stop or the target depth is reached
while ( ++rootDepth < MAX_PLY
&& !Threads.stop
size_t pvFirst = 0;
pvLast = 0;
+ if (!Threads.increaseDepth)
+ searchAgainCounter++;
+
// MultiPV loop. We perform a full root search for each PV line
for (pvIdx = 0; pvIdx < multiPV && !Threads.stop; ++pvIdx)
{
if (rootDepth >= 4)
{
Value previousScore = rootMoves[pvIdx].previousScore;
- delta = Value(21 + abs(previousScore) / 128);
+ delta = Value(21 + abs(previousScore) / 256);
alpha = std::max(previousScore - delta,-VALUE_INFINITE);
beta = std::min(previousScore + delta, VALUE_INFINITE);
// Adjust contempt based on root move's previousScore (dynamic contempt)
- int dct = ct + 86 * previousScore / (abs(previousScore) + 176);
+ int dct = ct + (102 - ct / 2) * previousScore / (abs(previousScore) + 157);
contempt = (us == WHITE ? make_score(dct, dct / 2)
: -make_score(dct, dct / 2));
int failedHighCnt = 0;
while (true)
{
- Depth adjustedDepth = std::max(1, rootDepth - failedHighCnt);
+ Depth adjustedDepth = std::max(1, rootDepth - failedHighCnt - searchAgainCounter);
bestValue = ::search<PV>(rootPos, ss, alpha, beta, adjustedDepth, false);
// Bring the best move to the front. It is critical that sorting
&& !Threads.stop
&& !mainThread->stopOnPonderhit)
{
- double fallingEval = (354 + 10 * (mainThread->previousScore - bestValue)) / 692.0;
+ double fallingEval = (332 + 6 * (mainThread->previousScore - bestValue)
+ + 6 * (mainThread->iterValue[iterIdx] - bestValue)) / 704.0;
fallingEval = clamp(fallingEval, 0.5, 1.5);
// If the bestMove is stable over several iterations, reduce time accordingly
- timeReduction = lastBestMoveDepth + 9 < completedDepth ? 1.97 : 0.98;
- double reduction = (1.36 + mainThread->previousTimeReduction) / (2.29 * timeReduction);
+ timeReduction = lastBestMoveDepth + 9 < completedDepth ? 1.94 : 0.91;
+ double reduction = (1.41 + mainThread->previousTimeReduction) / (2.27 * timeReduction);
// Use part of the gained time from a previous stable move for the current move
for (Thread* th : Threads)
else
Threads.stop = true;
}
+ else if ( Threads.increaseDepth
+ && !mainThread->ponder
+ && Time.elapsed() > Time.optimum() * fallingEval * reduction * bestMoveInstability * 0.6)
+ Threads.increaseDepth = false;
+ else
+ Threads.increaseDepth = true;
}
+
+ mainThread->iterValue[iterIdx] = bestValue;
+ iterIdx = (iterIdx + 1) & 3;
}
if (!mainThread)
excludedMove = ss->excludedMove;
posKey = pos.key() ^ Key(excludedMove << 16); // Isn't a very good hash
tte = TT.probe(posKey, ttHit);
- ttValue = ttHit ? value_from_tt(tte->value(), ss->ply) : VALUE_NONE;
+ ttValue = ttHit ? value_from_tt(tte->value(), ss->ply, pos.rule50_count()) : VALUE_NONE;
ttMove = rootNode ? thisThread->rootMoves[thisThread->pvIdx].pv[0]
: ttHit ? tte->move() : MOVE_NONE;
ttPv = PvNode || (ttHit && tte->is_pv());
+ // thisThread->ttHitAverage can be used to approximate the running average of ttHit
+ thisThread->ttHitAverage = (ttHitAverageWindow - 1) * thisThread->ttHitAverage / ttHitAverageWindow
+ + ttHitAverageResolution * ttHit;
// At non-PV nodes we check for an early TT cutoff
if ( !PvNode
if (ttValue >= beta)
{
if (!pos.capture_or_promotion(ttMove))
- update_quiet_stats(pos, ss, ttMove, nullptr, 0, stat_bonus(depth));
+ update_quiet_stats(pos, ss, ttMove, stat_bonus(depth));
// Extra penalty for early quiet moves of the previous ply
if ((ss-1)->moveCount <= 2 && !priorCapture)
update_continuation_histories(ss, pos.moved_piece(ttMove), to_sq(ttMove), penalty);
}
}
- return ttValue;
+
+ if (pos.rule50_count() < 90)
+ return ttValue;
}
// Step 5. Tablebases probe
int drawScore = TB::UseRule50 ? 1 : 0;
- value = wdl < -drawScore ? -VALUE_MATE + MAX_PLY + ss->ply + 1
- : wdl > drawScore ? VALUE_MATE - MAX_PLY - ss->ply - 1
- : VALUE_DRAW + 2 * wdl * drawScore;
+ // use the range VALUE_MATE_IN_MAX_PLY to VALUE_TB_WIN_IN_MAX_PLY to score
+ value = wdl < -drawScore ? VALUE_MATED_IN_MAX_PLY + ss->ply + 1
+ : wdl > drawScore ? VALUE_MATE_IN_MAX_PLY - ss->ply - 1
+ : VALUE_DRAW + 2 * wdl * drawScore;
Bound b = wdl < -drawScore ? BOUND_UPPER
: wdl > drawScore ? BOUND_LOWER : BOUND_EXACT;
tte->save(posKey, VALUE_NONE, ttPv, BOUND_NONE, DEPTH_NONE, MOVE_NONE, eval);
}
- // Step 7. Razoring (~2 Elo)
+ // Step 7. Razoring (~1 Elo)
if ( !rootNode // The required rootNode PV handling is not available in qsearch
&& depth < 2
&& eval <= alpha - RazorMargin)
return qsearch<NT>(pos, ss, alpha, beta);
- improving = ss->staticEval >= (ss-2)->staticEval
- || (ss-2)->staticEval == VALUE_NONE;
+ improving = (ss-2)->staticEval == VALUE_NONE ? (ss->staticEval > (ss-4)->staticEval
+ || (ss-4)->staticEval == VALUE_NONE) : ss->staticEval > (ss-2)->staticEval;
- // Step 8. Futility pruning: child node (~30 Elo)
+ // Step 8. Futility pruning: child node (~50 Elo)
if ( !PvNode
- && depth < 7
+ && depth < 6
&& eval - futility_margin(depth, improving) >= beta
&& eval < VALUE_KNOWN_WIN) // Do not return unproven wins
return eval;
// Step 9. Null move search with verification search (~40 Elo)
if ( !PvNode
&& (ss-1)->currentMove != MOVE_NULL
- && (ss-1)->statScore < 22661
+ && (ss-1)->statScore < 23397
&& eval >= beta
&& eval >= ss->staticEval
- && ss->staticEval >= beta - 33 * depth + 299 - improving * 30
+ && ss->staticEval >= beta - 32 * depth - 30 * improving + 120 * ttPv + 292
&& !excludedMove
&& pos.non_pawn_material(us)
&& (ss->ply >= thisThread->nmpMinPly || us != thisThread->nmpColor))
assert(eval - beta >= 0);
// Null move dynamic reduction based on depth and value
- Depth R = (835 + 70 * depth) / 256 + std::min(int(eval - beta) / 185, 3);
+ Depth R = (854 + 68 * depth) / 258 + std::min(int(eval - beta) / 192, 3);
ss->currentMove = MOVE_NULL;
ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0];
if (nullValue >= beta)
{
// Do not return unproven mate scores
- if (nullValue >= VALUE_MATE_IN_MAX_PLY)
+ if (nullValue >= VALUE_TB_WIN_IN_MAX_PLY)
nullValue = beta;
if (thisThread->nmpMinPly || (abs(beta) < VALUE_KNOWN_WIN && depth < 13))
// much above beta, we can (almost) safely prune the previous move.
if ( !PvNode
&& depth >= 5
- && abs(beta) < VALUE_MATE_IN_MAX_PLY)
+ && abs(beta) < VALUE_TB_WIN_IN_MAX_PLY)
{
- Value raisedBeta = std::min(beta + 191 - 46 * improving, VALUE_INFINITE);
+ Value raisedBeta = std::min(beta + 189 - 45 * improving, VALUE_INFINITE);
MovePicker mp(pos, ttMove, raisedBeta - ss->staticEval, &thisThread->captureHistory);
int probCutCount = 0;
}
}
- // Step 11. Internal iterative deepening (~2 Elo)
+ // Step 11. Internal iterative deepening (~1 Elo)
if (depth >= 7 && !ttMove)
{
search<NT>(pos, ss, alpha, beta, depth - 7, cutNode);
tte = TT.probe(posKey, ttHit);
- ttValue = ttHit ? value_from_tt(tte->value(), ss->ply) : VALUE_NONE;
+ ttValue = ttHit ? value_from_tt(tte->value(), ss->ply, pos.rule50_count()) : VALUE_NONE;
ttMove = ttHit ? tte->move() : MOVE_NONE;
}
movedPiece = pos.moved_piece(move);
givesCheck = pos.gives_check(move);
- // Step 13. Extensions (~70 Elo)
+ // Calculate new depth for this move
+ newDepth = depth - 1;
- // Singular extension search (~60 Elo). If all moves but one fail low on a
+ // Step 13. Pruning at shallow depth (~200 Elo)
+ if ( !rootNode
+ && pos.non_pawn_material(us)
+ && bestValue > VALUE_TB_LOSS_IN_MAX_PLY)
+ {
+ // Skip quiet moves if movecount exceeds our FutilityMoveCount threshold
+ moveCountPruning = moveCount >= futility_move_count(improving, depth);
+
+ if ( !captureOrPromotion
+ && !givesCheck)
+ {
+ // Reduced depth of the next LMR search
+ int lmrDepth = std::max(newDepth - reduction(improving, depth, moveCount), 0);
+
+ // Countermoves based pruning (~20 Elo)
+ if ( lmrDepth < 4 + ((ss-1)->statScore > 0 || (ss-1)->moveCount == 1)
+ && (*contHist[0])[movedPiece][to_sq(move)] < CounterMovePruneThreshold
+ && (*contHist[1])[movedPiece][to_sq(move)] < CounterMovePruneThreshold)
+ continue;
+
+ // Futility pruning: parent node (~5 Elo)
+ if ( lmrDepth < 6
+ && !inCheck
+ && ss->staticEval + 235 + 172 * lmrDepth <= alpha
+ && thisThread->mainHistory[us][from_to(move)]
+ + (*contHist[0])[movedPiece][to_sq(move)]
+ + (*contHist[1])[movedPiece][to_sq(move)]
+ + (*contHist[3])[movedPiece][to_sq(move)] < 25000)
+ continue;
+
+ // Prune moves with negative SEE (~20 Elo)
+ if (!pos.see_ge(move, Value(-(32 - std::min(lmrDepth, 18)) * lmrDepth * lmrDepth)))
+ continue;
+ }
+ else if (!pos.see_ge(move, Value(-194) * depth)) // (~25 Elo)
+ continue;
+ }
+
+ // Step 14. Extensions (~75 Elo)
+
+ // Singular extension search (~70 Elo). If all moves but one fail low on a
// search of (alpha-s, beta-s), and just one fails high on (alpha, beta),
// then that move is singular and should be extended. To verify this we do
// a reduced search on all the other moves but the ttMove and if the
&& tte->depth() >= depth - 3
&& pos.legal(move))
{
- Value singularBeta = ttValue - 2 * depth;
+ Value singularBeta = ttValue - (((ttPv && !PvNode) + 4) * depth) / 2;
Depth halfDepth = depth / 2;
ss->excludedMove = move;
value = search<NonPV>(pos, ss, singularBeta - 1, singularBeta, halfDepth, cutNode);
// search without the ttMove. So we assume this expected Cut-node is not singular,
// that multiple moves fail high, and we can prune the whole subtree by returning
// a soft bound.
- else if ( eval >= beta
- && singularBeta >= beta)
+ else if (singularBeta >= beta)
return singularBeta;
}
&& (pos.is_discovery_check_on_king(~us, move) || pos.see_ge(move)))
extension = 1;
- // Shuffle extension
- else if ( PvNode
- && pos.rule50_count() > 18
- && depth < 3
- && ++thisThread->shuffleExts < thisThread->nodes.load(std::memory_order_relaxed) / 4) // To avoid too many extensions
- extension = 1;
-
// Passed pawn extension
else if ( move == ss->killers[0]
&& pos.advanced_pawn_push(move)
&& pos.pawn_passed(us, to_sq(move)))
extension = 1;
+ // Last captures extension
+ else if ( PieceValue[EG][pos.captured_piece()] > PawnValueEg
+ && pos.non_pawn_material() <= 2 * RookValueMg)
+ extension = 1;
+
// Castling extension
if (type_of(move) == CASTLING)
extension = 1;
- // Calculate new depth for this move
- newDepth = depth - 1 + extension;
-
- // Step 14. Pruning at shallow depth (~170 Elo)
- if ( !rootNode
- && pos.non_pawn_material(us)
- && bestValue > VALUE_MATED_IN_MAX_PLY)
- {
- // Skip quiet moves if movecount exceeds our FutilityMoveCount threshold
- moveCountPruning = moveCount >= futility_move_count(improving, depth);
-
- if ( !captureOrPromotion
- && !givesCheck
- && (!pos.advanced_pawn_push(move) || pos.non_pawn_material(~us) > BishopValueMg))
- {
- // Move count based pruning
- if (moveCountPruning)
- continue;
-
- // Reduced depth of the next LMR search
- int lmrDepth = std::max(newDepth - reduction(improving, depth, moveCount), 0);
-
- // Countermoves based pruning (~20 Elo)
- if ( lmrDepth < 4 + ((ss-1)->statScore > 0 || (ss-1)->moveCount == 1)
- && (*contHist[0])[movedPiece][to_sq(move)] < CounterMovePruneThreshold
- && (*contHist[1])[movedPiece][to_sq(move)] < CounterMovePruneThreshold)
- continue;
-
- // Futility pruning: parent node (~2 Elo)
- if ( lmrDepth < 6
- && !inCheck
- && ss->staticEval + 250 + 211 * lmrDepth <= alpha)
- continue;
-
- // Prune moves with negative SEE (~10 Elo)
- if (!pos.see_ge(move, Value(-(31 - std::min(lmrDepth, 18)) * lmrDepth * lmrDepth)))
- continue;
- }
- else if ( !(givesCheck && extension)
- && !pos.see_ge(move, Value(-199) * depth)) // (~20 Elo)
- continue;
- }
+ // Add extension to new depth
+ newDepth += extension;
// Speculative prefetch as early as possible
prefetch(TT.first_entry(pos.key_after(move)));
// Step 15. Make the move
pos.do_move(move, st, givesCheck);
- // Step 16. Reduced depth search (LMR). If the move fails high it will be
+ // Step 16. Reduced depth search (LMR, ~200 Elo). If the move fails high it will be
// re-searched at full depth.
if ( depth >= 3
&& moveCount > 1 + 2 * rootNode
&& ( !captureOrPromotion
|| moveCountPruning
|| ss->staticEval + PieceValue[EG][pos.captured_piece()] <= alpha
- || cutNode))
+ || cutNode
+ || thisThread->ttHitAverage < 375 * ttHitAverageResolution * ttHitAverageWindow / 1024))
{
Depth r = reduction(improving, depth, moveCount);
+ // Decrease reduction if the ttHit running average is large
+ if (thisThread->ttHitAverage > 500 * ttHitAverageResolution * ttHitAverageWindow / 1024)
+ r--;
+
// Reduction if other threads are searching this position.
if (th.marked())
r++;
- // Decrease reduction if position is or has been on the PV
+ // Decrease reduction if position is or has been on the PV (~10 Elo)
if (ttPv)
r -= 2;
- // Decrease reduction if opponent's move count is high (~10 Elo)
- if ((ss-1)->moveCount > 15)
+ // Decrease reduction if opponent's move count is high (~5 Elo)
+ if ((ss-1)->moveCount > 14)
r--;
- // Decrease reduction if ttMove has been singularly extended
+ // Decrease reduction if ttMove has been singularly extended (~3 Elo)
if (singularLMR)
r -= 2;
if (!captureOrPromotion)
{
- // Increase reduction if ttMove is a capture (~0 Elo)
+ // Increase reduction if ttMove is a capture (~5 Elo)
if (ttCapture)
r++;
- // Increase reduction for cut nodes (~5 Elo)
+ // Increase reduction for cut nodes (~10 Elo)
if (cutNode)
r += 2;
// Decrease reduction for moves that escape a capture. Filter out
// castling moves, because they are coded as "king captures rook" and
- // hence break make_move(). (~5 Elo)
+ // hence break make_move(). (~2 Elo)
else if ( type_of(move) == NORMAL
&& !pos.see_ge(reverse_move(move)))
- r -= 2;
+ r -= 2 + ttPv;
ss->statScore = thisThread->mainHistory[us][from_to(move)]
+ (*contHist[0])[movedPiece][to_sq(move)]
+ (*contHist[1])[movedPiece][to_sq(move)]
+ (*contHist[3])[movedPiece][to_sq(move)]
- - 4729;
+ - 4926;
// Reset statScore to zero if negative and most stats shows >= 0
if ( ss->statScore < 0
ss->statScore = 0;
// Decrease/increase reduction by comparing opponent's stat score (~10 Elo)
- if (ss->statScore >= -99 && (ss-1)->statScore < -116)
+ if (ss->statScore >= -102 && (ss-1)->statScore < -114)
r--;
- else if ((ss-1)->statScore >= -117 && ss->statScore < -144)
+ else if ((ss-1)->statScore >= -116 && ss->statScore < -154)
r++;
// Decrease/increase reduction for moves with a good/bad history (~30 Elo)
r -= ss->statScore / 16384;
}
+ // Increase reduction for captures/promotions if late move and at low depth
+ else if (depth < 8 && moveCount > 2)
+ r++;
+
Depth d = clamp(newDepth - r, 1, newDepth);
value = -search<NonPV>(pos, ss+1, -(alpha+1), -alpha, d, true);
if (!moveCount)
bestValue = excludedMove ? alpha
: inCheck ? mated_in(ss->ply) : VALUE_DRAW;
- else if (bestMove)
- {
- // Quiet best move: update move sorting heuristics
- if (!pos.capture_or_promotion(bestMove))
- update_quiet_stats(pos, ss, bestMove, quietsSearched, quietCount,
- stat_bonus(depth + (bestValue > beta + PawnValueMg)));
- update_capture_stats(pos, bestMove, capturesSearched, captureCount, stat_bonus(depth + 1));
-
- // Extra penalty for a quiet TT or main killer move in previous ply when it gets refuted
- if ( ((ss-1)->moveCount == 1 || ((ss-1)->currentMove == (ss-1)->killers[0]))
- && !priorCapture)
- update_continuation_histories(ss-1, pos.piece_on(prevSq), prevSq, -stat_bonus(depth + 1));
+ else if (bestMove)
+ update_all_stats(pos, ss, bestMove, bestValue, beta, prevSq,
+ quietsSearched, quietCount, capturesSearched, captureCount, depth);
- }
// Bonus for prior countermove that caused the fail low
else if ( (depth >= 3 || PvNode)
&& !priorCapture)
// Transposition table lookup
posKey = pos.key();
tte = TT.probe(posKey, ttHit);
- ttValue = ttHit ? value_from_tt(tte->value(), ss->ply) : VALUE_NONE;
+ ttValue = ttHit ? value_from_tt(tte->value(), ss->ply, pos.rule50_count()) : VALUE_NONE;
ttMove = ttHit ? tte->move() : MOVE_NONE;
pvHit = ttHit && tte->is_pv();
if (PvNode && bestValue > alpha)
alpha = bestValue;
- futilityBase = bestValue + 153;
+ futilityBase = bestValue + 154;
}
const PieceToHistory* contHist[] = { (ss-1)->continuationHistory, (ss-2)->continuationHistory,
// Detect non-capture evasions that are candidates to be pruned
evasionPrunable = inCheck
&& (depth != 0 || moveCount > 2)
- && bestValue > VALUE_MATED_IN_MAX_PLY
+ && bestValue > VALUE_TB_LOSS_IN_MAX_PLY
&& !pos.capture(move);
// Don't search moves with negative SEE values
- if ( (!inCheck || evasionPrunable)
- && !(givesCheck && pos.is_discovery_check_on_king(~pos.side_to_move(), move))
- && !pos.see_ge(move))
+ if ( (!inCheck || evasionPrunable) && !pos.see_ge(move))
continue;
// Speculative prefetch as early as possible
}
- // value_to_tt() adjusts a mate score from "plies to mate from the root" to
- // "plies to mate from the current position". Non-mate scores are unchanged.
+ // value_to_tt() adjusts a mate or TB score from "plies to mate from the root" to
+ // "plies to mate from the current position". standard scores are unchanged.
// The function is called before storing a value in the transposition table.
Value value_to_tt(Value v, int ply) {
assert(v != VALUE_NONE);
- return v >= VALUE_MATE_IN_MAX_PLY ? v + ply
- : v <= VALUE_MATED_IN_MAX_PLY ? v - ply : v;
+ return v >= VALUE_TB_WIN_IN_MAX_PLY ? v + ply
+ : v <= VALUE_TB_LOSS_IN_MAX_PLY ? v - ply : v;
}
- // value_from_tt() is the inverse of value_to_tt(): It adjusts a mate score
+ // value_from_tt() is the inverse of value_to_tt(): It adjusts a mate or TB score
// from the transposition table (which refers to the plies to mate/be mated
- // from current position) to "plies to mate/be mated from the root".
+ // from current position) to "plies to mate/be mated (TB win/loss) from the root".
+ // However, for mate scores, to avoid potentially false mate scores related to the 50 moves rule,
+ // and the graph history interaction, return an optimal TB score instead.
+
+ Value value_from_tt(Value v, int ply, int r50c) {
- Value value_from_tt(Value v, int ply) {
+ if (v == VALUE_NONE)
+ return VALUE_NONE;
+
+ if (v >= VALUE_TB_WIN_IN_MAX_PLY) // TB win or better
+ {
+ if (v >= VALUE_MATE_IN_MAX_PLY && VALUE_MATE - v > 99 - r50c)
+ return VALUE_MATE_IN_MAX_PLY - 1; // do not return a potentially false mate score
- return v == VALUE_NONE ? VALUE_NONE
- : v >= VALUE_MATE_IN_MAX_PLY ? v - ply
- : v <= VALUE_MATED_IN_MAX_PLY ? v + ply : v;
+ return v - ply;
+ }
+
+ if (v <= VALUE_TB_LOSS_IN_MAX_PLY) // TB loss or worse
+ {
+ if (v <= VALUE_MATED_IN_MAX_PLY && VALUE_MATE + v > 99 - r50c)
+ return VALUE_MATED_IN_MAX_PLY + 1; // do not return a potentially false mate score
+
+ return v + ply;
+ }
+
+ return v;
}
}
- // update_continuation_histories() updates histories of the move pairs formed
- // by moves at ply -1, -2, and -4 with current move.
+ // update_all_stats() updates stats at the end of search() when a bestMove is found
- void update_continuation_histories(Stack* ss, Piece pc, Square to, int bonus) {
+ void update_all_stats(const Position& pos, Stack* ss, Move bestMove, Value bestValue, Value beta, Square prevSq,
+ Move* quietsSearched, int quietCount, Move* capturesSearched, int captureCount, Depth depth) {
- for (int i : {1, 2, 4, 6})
- if (is_ok((ss-i)->currentMove))
- (*(ss-i)->continuationHistory)[pc][to] << bonus;
- }
+ int bonus1, bonus2;
+ Color us = pos.side_to_move();
+ Thread* thisThread = pos.this_thread();
+ CapturePieceToHistory& captureHistory = thisThread->captureHistory;
+ Piece moved_piece = pos.moved_piece(bestMove);
+ PieceType captured = type_of(pos.piece_on(to_sq(bestMove)));
+
+ bonus1 = stat_bonus(depth + 1);
+ bonus2 = bestValue > beta + PawnValueMg ? bonus1 // larger bonus
+ : stat_bonus(depth); // smaller bonus
+
+ if (!pos.capture_or_promotion(bestMove))
+ {
+ update_quiet_stats(pos, ss, bestMove, bonus2);
+
+ // Decrease all the non-best quiet moves
+ for (int i = 0; i < quietCount; ++i)
+ {
+ thisThread->mainHistory[us][from_to(quietsSearched[i])] << -bonus2;
+ update_continuation_histories(ss, pos.moved_piece(quietsSearched[i]), to_sq(quietsSearched[i]), -bonus2);
+ }
+ }
+ else
+ captureHistory[moved_piece][to_sq(bestMove)][captured] << bonus1;
+ // Extra penalty for a quiet TT or main killer move in previous ply when it gets refuted
+ if ( ((ss-1)->moveCount == 1 || ((ss-1)->currentMove == (ss-1)->killers[0]))
+ && !pos.captured_piece())
+ update_continuation_histories(ss-1, pos.piece_on(prevSq), prevSq, -bonus1);
- // update_capture_stats() updates move sorting heuristics when a new capture best move is found
+ // Decrease all the non-best capture moves
+ for (int i = 0; i < captureCount; ++i)
+ {
+ moved_piece = pos.moved_piece(capturesSearched[i]);
+ captured = type_of(pos.piece_on(to_sq(capturesSearched[i])));
+ captureHistory[moved_piece][to_sq(capturesSearched[i])][captured] << -bonus1;
+ }
+ }
- void update_capture_stats(const Position& pos, Move move,
- Move* captures, int captureCount, int bonus) {
- CapturePieceToHistory& captureHistory = pos.this_thread()->captureHistory;
- Piece moved_piece = pos.moved_piece(move);
- PieceType captured = type_of(pos.piece_on(to_sq(move)));
+ // update_continuation_histories() updates histories of the move pairs formed
+ // by moves at ply -1, -2, and -4 with current move.
- if (pos.capture_or_promotion(move))
- captureHistory[moved_piece][to_sq(move)][captured] << bonus;
+ void update_continuation_histories(Stack* ss, Piece pc, Square to, int bonus) {
- // Decrease all the other played capture moves
- for (int i = 0; i < captureCount; ++i)
- {
- moved_piece = pos.moved_piece(captures[i]);
- captured = type_of(pos.piece_on(to_sq(captures[i])));
- captureHistory[moved_piece][to_sq(captures[i])][captured] << -bonus;
- }
+ for (int i : {1, 2, 4, 6})
+ if (is_ok((ss-i)->currentMove))
+ (*(ss-i)->continuationHistory)[pc][to] << bonus;
}
- // update_quiet_stats() updates move sorting heuristics when a new quiet best move is found
+ // update_quiet_stats() updates move sorting heuristics
- void update_quiet_stats(const Position& pos, Stack* ss, Move move,
- Move* quiets, int quietCount, int bonus) {
+ void update_quiet_stats(const Position& pos, Stack* ss, Move move, int bonus) {
if (ss->killers[0] != move)
{
Square prevSq = to_sq((ss-1)->currentMove);
thisThread->counterMoves[pos.piece_on(prevSq)][prevSq] = move;
}
-
- // Decrease all the other played quiet moves
- for (int i = 0; i < quietCount; ++i)
- {
- thisThread->mainHistory[us][from_to(quiets[i])] << -bonus;
- update_continuation_histories(ss, pos.moved_piece(quiets[i]), to_sq(quiets[i]), -bonus);
- }
}
// When playing with strength handicap, choose best move among a set of RootMoves
for (size_t i = 0; i < multiPV; ++i)
{
- bool updated = (i <= pvIdx && rootMoves[i].score != -VALUE_INFINITE);
+ bool updated = rootMoves[i].score != -VALUE_INFINITE;
if (depth == 1 && !updated)
continue;
Depth d = updated ? depth : depth - 1;
Value v = updated ? rootMoves[i].score : rootMoves[i].previousScore;
- bool tb = TB::RootInTB && abs(v) < VALUE_MATE - MAX_PLY;
+ bool tb = TB::RootInTB && abs(v) < VALUE_MATE_IN_MAX_PLY;
v = tb ? rootMoves[i].tbScore : v;
if (ss.rdbuf()->in_avail()) // Not at first line
projects / stockfish / blobdiff