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VVLTC search tune
Search parameters were tuned at 60+0.6 8-thread. Link to the tuning attempt: https://tests.stockfishchess.org/tests/view/65b84e8dc865510db0276030 The most significant change is the triple extension parameter, from 200 to 78. This presumably improves scaling. Additionally, the value < singularBeta - 2 condition for double extensions was removed. This can simply be considered a parameter tweak from 2 to 0. Passed VVLTC: https://tests.stockfishchess.org/tests/view/65baec69c865510db0278f19 LLR: 2.94 (-2.94,2.94) <0.00,2.00> Total: 26136 W: 6564 L: 6305 D: 13267 Ptnml(0-2): 2, 2413, 7977, 2676, 0 Passed VVLTC vs passed PR #5027: https://tests.stockfishchess.org/tests/view/65bc2adfc865510db027a561 LLR: 2.95 (-2.94,2.94) <0.50,2.50> Total: 52968 W: 13372 L: 13046 D: 26550 Ptnml(0-2): 4, 4944, 16265, 5264, 7 STC Elo estimate: https://tests.stockfishchess.org/tests/view/65be5514c865510db027cbc5 closes https://github.com/official-stockfish/Stockfish/pull/5029 Bench: 1478189
This commit is contained in:
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1 changed files with 37 additions and 37 deletions
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@ -55,7 +55,7 @@ namespace {
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// Futility margin
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// Futility margin
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Value futility_margin(Depth d, bool noTtCutNode, bool improving) {
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Value futility_margin(Depth d, bool noTtCutNode, bool improving) {
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Value futilityMult = 114 - 47 * noTtCutNode;
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Value futilityMult = 116 - 47 * noTtCutNode;
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return (futilityMult * d - 3 * futilityMult / 2 * improving);
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return (futilityMult * d - 3 * futilityMult / 2 * improving);
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}
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}
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@ -66,15 +66,15 @@ constexpr int futility_move_count(bool improving, Depth depth) {
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// Add correctionHistory value to raw staticEval and guarantee evaluation does not hit the tablebase range
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// Add correctionHistory value to raw staticEval and guarantee evaluation does not hit the tablebase range
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Value to_corrected_static_eval(Value v, const Worker& w, const Position& pos) {
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Value to_corrected_static_eval(Value v, const Worker& w, const Position& pos) {
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auto cv = w.correctionHistory[pos.side_to_move()][pawn_structure_index<Correction>(pos)];
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auto cv = w.correctionHistory[pos.side_to_move()][pawn_structure_index<Correction>(pos)];
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v += cv * std::abs(cv) / 14095;
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v += cv * std::abs(cv) / 12890;
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return std::clamp(int(v), VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);
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return std::clamp(int(v), VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);
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}
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}
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// History and stats update bonus, based on depth
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// History and stats update bonus, based on depth
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int stat_bonus(Depth d) { return std::min(265 * d - 349, 1112); }
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int stat_bonus(Depth d) { return std::min(253 * d - 356, 1117); }
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// History and stats update malus, based on depth
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// History and stats update malus, based on depth
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int stat_malus(Depth d) { return std::min(482 * d - 326, 1172); }
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int stat_malus(Depth d) { return std::min(517 * d - 308, 1206); }
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// Add a small random component to draw evaluations to avoid 3-fold blindness
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// Add a small random component to draw evaluations to avoid 3-fold blindness
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Value value_draw(size_t nodes) { return VALUE_DRAW - 1 + Value(nodes & 0x2); }
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Value value_draw(size_t nodes) { return VALUE_DRAW - 1 + Value(nodes & 0x2); }
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@ -297,12 +297,12 @@ void Search::Worker::iterative_deepening() {
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// Reset aspiration window starting size
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// Reset aspiration window starting size
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Value avg = rootMoves[pvIdx].averageScore;
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Value avg = rootMoves[pvIdx].averageScore;
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delta = Value(9) + int(avg) * avg / 13181;
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delta = Value(9) + int(avg) * avg / 12480;
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alpha = std::max(avg - delta, -VALUE_INFINITE);
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alpha = std::max(avg - delta, -VALUE_INFINITE);
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beta = std::min(avg + delta, int(VALUE_INFINITE));
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beta = std::min(avg + delta, int(VALUE_INFINITE));
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// Adjust optimism based on root move's averageScore (~4 Elo)
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// Adjust optimism based on root move's averageScore (~4 Elo)
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optimism[us] = 132 * avg / (std::abs(avg) + 98);
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optimism[us] = 131 * avg / (std::abs(avg) + 95);
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optimism[~us] = -optimism[us];
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optimism[~us] = -optimism[us];
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// Start with a small aspiration window and, in the case of a fail
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// Start with a small aspiration window and, in the case of a fail
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@ -726,7 +726,7 @@ Value Search::Worker::search(
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// Use static evaluation difference to improve quiet move ordering (~9 Elo)
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// Use static evaluation difference to improve quiet move ordering (~9 Elo)
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if (((ss - 1)->currentMove).is_ok() && !(ss - 1)->inCheck && !priorCapture)
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if (((ss - 1)->currentMove).is_ok() && !(ss - 1)->inCheck && !priorCapture)
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{
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{
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int bonus = std::clamp(-13 * int((ss - 1)->staticEval + ss->staticEval), -1680, 1406);
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int bonus = std::clamp(-14 * int((ss - 1)->staticEval + ss->staticEval), -1661, 1495);
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bonus = bonus > 0 ? 2 * bonus : bonus / 2;
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bonus = bonus > 0 ? 2 * bonus : bonus / 2;
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thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()] << bonus;
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thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()] << bonus;
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if (type_of(pos.piece_on(prevSq)) != PAWN && ((ss - 1)->currentMove).type_of() != PROMOTION)
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if (type_of(pos.piece_on(prevSq)) != PAWN && ((ss - 1)->currentMove).type_of() != PROMOTION)
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@ -747,7 +747,7 @@ Value Search::Worker::search(
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// If eval is really low check with qsearch if it can exceed alpha, if it can't,
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// If eval is really low check with qsearch if it can exceed alpha, if it can't,
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// return a fail low.
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// return a fail low.
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// Adjust razor margin according to cutoffCnt. (~1 Elo)
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// Adjust razor margin according to cutoffCnt. (~1 Elo)
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if (eval < alpha - 435 - (327 - 167 * ((ss + 1)->cutoffCnt > 3)) * depth * depth)
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if (eval < alpha - 450 - (332 - 160 * ((ss + 1)->cutoffCnt > 3)) * depth * depth)
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{
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{
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value = qsearch<NonPV>(pos, ss, alpha - 1, alpha);
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value = qsearch<NonPV>(pos, ss, alpha - 1, alpha);
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if (value < alpha)
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if (value < alpha)
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@ -760,20 +760,20 @@ Value Search::Worker::search(
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&& eval - futility_margin(depth, cutNode && !ss->ttHit, improving)
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&& eval - futility_margin(depth, cutNode && !ss->ttHit, improving)
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- (ss - 1)->statScore / 327
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- (ss - 1)->statScore / 327
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>= beta
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>= beta
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&& eval >= beta && eval < 27734 // smaller than TB wins
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&& eval >= beta && eval < 28702 // smaller than TB wins
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&& (!ttMove || ttCapture))
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&& (!ttMove || ttCapture))
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return beta > VALUE_TB_LOSS_IN_MAX_PLY ? (eval + beta) / 2 : eval;
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return beta > VALUE_TB_LOSS_IN_MAX_PLY ? (eval + beta) / 2 : eval;
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// Step 9. Null move search with verification search (~35 Elo)
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// Step 9. Null move search with verification search (~35 Elo)
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if (!PvNode && (ss - 1)->currentMove != Move::null() && (ss - 1)->statScore < 17787
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if (!PvNode && (ss - 1)->currentMove != Move::null() && (ss - 1)->statScore < 17379
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&& eval >= beta && eval >= ss->staticEval && ss->staticEval >= beta - 22 * depth + 313
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&& eval >= beta && eval >= ss->staticEval && ss->staticEval >= beta - 21 * depth + 329
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&& !excludedMove && pos.non_pawn_material(us) && ss->ply >= thisThread->nmpMinPly
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&& !excludedMove && pos.non_pawn_material(us) && ss->ply >= thisThread->nmpMinPly
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&& beta > VALUE_TB_LOSS_IN_MAX_PLY)
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&& beta > VALUE_TB_LOSS_IN_MAX_PLY)
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{
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{
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assert(eval - beta >= 0);
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assert(eval - beta >= 0);
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// Null move dynamic reduction based on depth and eval
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// Null move dynamic reduction based on depth and eval
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Depth R = std::min(int(eval - beta) / 144, 6) + depth / 3 + 4;
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Depth R = std::min(int(eval - beta) / 148, 6) + depth / 3 + 4;
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ss->currentMove = Move::null();
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ss->currentMove = Move::null();
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ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0];
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ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0];
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@ -787,7 +787,7 @@ Value Search::Worker::search(
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// Do not return unproven mate or TB scores
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// Do not return unproven mate or TB scores
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if (nullValue >= beta && nullValue < VALUE_TB_WIN_IN_MAX_PLY)
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if (nullValue >= beta && nullValue < VALUE_TB_WIN_IN_MAX_PLY)
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{
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{
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if (thisThread->nmpMinPly || depth < 15)
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if (thisThread->nmpMinPly || depth < 16)
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return nullValue;
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return nullValue;
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assert(!thisThread->nmpMinPly); // Recursive verification is not allowed
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assert(!thisThread->nmpMinPly); // Recursive verification is not allowed
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@ -820,7 +820,7 @@ Value Search::Worker::search(
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if (cutNode && depth >= 8 && !ttMove)
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if (cutNode && depth >= 8 && !ttMove)
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depth -= 2;
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depth -= 2;
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probCutBeta = beta + 173 - 73 * improving;
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probCutBeta = beta + 182 - 68 * improving;
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// Step 11. ProbCut (~10 Elo)
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// Step 11. ProbCut (~10 Elo)
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// If we have a good enough capture (or queen promotion) and a reduced search returns a value
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// If we have a good enough capture (or queen promotion) and a reduced search returns a value
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@ -880,7 +880,7 @@ Value Search::Worker::search(
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moves_loop: // When in check, search starts here
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moves_loop: // When in check, search starts here
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// Step 12. A small Probcut idea, when we are in check (~4 Elo)
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// Step 12. A small Probcut idea, when we are in check (~4 Elo)
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probCutBeta = beta + 427;
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probCutBeta = beta + 446;
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if (ss->inCheck && !PvNode && ttCapture && (tte->bound() & BOUND_LOWER)
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if (ss->inCheck && !PvNode && ttCapture && (tte->bound() & BOUND_LOWER)
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&& tte->depth() >= depth - 4 && ttValue >= probCutBeta
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&& tte->depth() >= depth - 4 && ttValue >= probCutBeta
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&& std::abs(ttValue) < VALUE_TB_WIN_IN_MAX_PLY && std::abs(beta) < VALUE_TB_WIN_IN_MAX_PLY)
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&& std::abs(ttValue) < VALUE_TB_WIN_IN_MAX_PLY && std::abs(beta) < VALUE_TB_WIN_IN_MAX_PLY)
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@ -963,7 +963,7 @@ moves_loop: // When in check, search starts here
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{
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{
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Piece capturedPiece = pos.piece_on(move.to_sq());
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Piece capturedPiece = pos.piece_on(move.to_sq());
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int futilityEval =
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int futilityEval =
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ss->staticEval + 277 + 298 * lmrDepth + PieceValue[capturedPiece]
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ss->staticEval + 279 + 295 * lmrDepth + PieceValue[capturedPiece]
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+ thisThread->captureHistory[movedPiece][move.to_sq()][type_of(capturedPiece)]
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+ thisThread->captureHistory[movedPiece][move.to_sq()][type_of(capturedPiece)]
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/ 7;
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/ 7;
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if (futilityEval < alpha)
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if (futilityEval < alpha)
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}
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}
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// SEE based pruning for captures and checks (~11 Elo)
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// SEE based pruning for captures and checks (~11 Elo)
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if (!pos.see_ge(move, -203 * depth))
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if (!pos.see_ge(move, -204 * depth))
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continue;
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continue;
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}
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}
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else
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else
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+ thisThread->pawnHistory[pawn_structure_index(pos)][movedPiece][move.to_sq()];
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+ thisThread->pawnHistory[pawn_structure_index(pos)][movedPiece][move.to_sq()];
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// Continuation history based pruning (~2 Elo)
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// Continuation history based pruning (~2 Elo)
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if (lmrDepth < 6 && history < -4195 * depth)
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if (lmrDepth < 6 && history < -4215 * depth)
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continue;
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continue;
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history += 2 * thisThread->mainHistory[us][move.from_to()];
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history += 2 * thisThread->mainHistory[us][move.from_to()];
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lmrDepth += history / 6992;
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lmrDepth += history / 6658;
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// Futility pruning: parent node (~13 Elo)
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// Futility pruning: parent node (~13 Elo)
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if (!ss->inCheck && lmrDepth < 15
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if (!ss->inCheck && lmrDepth < 15
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&& ss->staticEval + (bestValue < ss->staticEval - 63 ? 137 : 64)
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&& ss->staticEval + (bestValue < ss->staticEval - 58 ? 139 : 55)
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+ 111 * lmrDepth
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+ 121 * lmrDepth
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<= alpha)
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<= alpha)
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continue;
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continue;
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// so changing them requires tests at these types of time controls.
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// so changing them requires tests at these types of time controls.
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// Recursive singular search is avoided.
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// Recursive singular search is avoided.
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if (!rootNode && move == ttMove && !excludedMove
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if (!rootNode && move == ttMove && !excludedMove
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&& depth >= 4 - (thisThread->completedDepth > 31) + ss->ttPv
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&& depth >= 4 - (thisThread->completedDepth > 29) + ss->ttPv
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&& std::abs(ttValue) < VALUE_TB_WIN_IN_MAX_PLY && (tte->bound() & BOUND_LOWER)
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&& std::abs(ttValue) < VALUE_TB_WIN_IN_MAX_PLY && (tte->bound() & BOUND_LOWER)
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&& tte->depth() >= depth - 3)
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&& tte->depth() >= depth - 3)
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{
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{
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Value singularBeta = ttValue - (58 + 52 * (ss->ttPv && !PvNode)) * depth / 64;
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Value singularBeta = ttValue - (62 + 52 * (ss->ttPv && !PvNode)) * depth / 64;
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Depth singularDepth = newDepth / 2;
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Depth singularDepth = newDepth / 2;
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ss->excludedMove = move;
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ss->excludedMove = move;
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extension = 1;
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extension = 1;
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// Avoid search explosion by limiting the number of double extensions
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// Avoid search explosion by limiting the number of double extensions
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if (!PvNode && value < singularBeta - 2 && ss->doubleExtensions <= 15)
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if (!PvNode && ss->doubleExtensions <= 16)
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{
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{
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extension = 2 + (value < singularBeta - 200 && !ttCapture);
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extension = 2 + (value < singularBeta - 78 && !ttCapture);
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depth += depth < 15;
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depth += depth < 16;
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}
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}
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}
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}
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// Quiet ttMove extensions (~1 Elo)
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// Quiet ttMove extensions (~1 Elo)
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else if (PvNode && move == ttMove && move == ss->killers[0]
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else if (PvNode && move == ttMove && move == ss->killers[0]
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&& (*contHist[0])[movedPiece][move.to_sq()] >= 4111)
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&& (*contHist[0])[movedPiece][move.to_sq()] >= 4339)
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extension = 1;
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extension = 1;
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// Recapture extensions (~1 Elo)
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// Recapture extensions (~1 Elo)
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else if (PvNode && move == ttMove && move.to_sq() == prevSq
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else if (PvNode && move == ttMove && move.to_sq() == prevSq
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&& thisThread->captureHistory[movedPiece][move.to_sq()]
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&& thisThread->captureHistory[movedPiece][move.to_sq()]
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[type_of(pos.piece_on(move.to_sq()))]
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[type_of(pos.piece_on(move.to_sq()))]
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> 4484)
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> 4356)
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extension = 1;
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extension = 1;
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}
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}
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ss->statScore = 2 * thisThread->mainHistory[us][move.from_to()]
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ss->statScore = 2 * thisThread->mainHistory[us][move.from_to()]
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+ (*contHist[0])[movedPiece][move.to_sq()]
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+ (*contHist[0])[movedPiece][move.to_sq()]
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+ (*contHist[1])[movedPiece][move.to_sq()]
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+ (*contHist[1])[movedPiece][move.to_sq()]
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+ (*contHist[3])[movedPiece][move.to_sq()] - 4119;
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+ (*contHist[3])[movedPiece][move.to_sq()] - 4409;
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// Decrease/increase reduction for moves with a good/bad history (~25 Elo)
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// Decrease/increase reduction for moves with a good/bad history (~25 Elo)
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r -= ss->statScore / 15373;
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r -= ss->statScore / 14894;
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// Step 17. Late moves reduction / extension (LMR, ~117 Elo)
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// Step 17. Late moves reduction / extension (LMR, ~117 Elo)
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if (depth >= 2 && moveCount > 1 + rootNode)
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if (depth >= 2 && moveCount > 1 + rootNode)
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{
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{
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// Adjust full-depth search based on LMR results - if the result
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// Adjust full-depth search based on LMR results - if the result
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// was good enough search deeper, if it was bad enough search shallower.
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// was good enough search deeper, if it was bad enough search shallower.
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const bool doDeeperSearch = value > (bestValue + 51 + 2 * newDepth); // (~1 Elo)
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const bool doDeeperSearch = value > (bestValue + 49 + 2 * newDepth); // (~1 Elo)
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const bool doShallowerSearch = value < bestValue + newDepth; // (~2 Elo)
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const bool doShallowerSearch = value < bestValue + newDepth; // (~2 Elo)
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newDepth += doDeeperSearch - doShallowerSearch;
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newDepth += doDeeperSearch - doShallowerSearch;
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else
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else
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{
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{
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// Reduce other moves if we have found at least one score improvement (~2 Elo)
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// Reduce other moves if we have found at least one score improvement (~2 Elo)
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if (depth > 2 && depth < 12 && beta < 13195 && value > -12346)
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if (depth > 2 && depth < 13 && beta < 13710 && value > -12589)
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depth -= 2;
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depth -= 2;
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assert(depth > 0);
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assert(depth > 0);
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// Bonus for prior countermove that caused the fail low
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// Bonus for prior countermove that caused the fail low
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else if (!priorCapture && prevSq != SQ_NONE)
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else if (!priorCapture && prevSq != SQ_NONE)
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{
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{
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int bonus = (depth > 5) + (PvNode || cutNode) + ((ss - 1)->statScore < -16797)
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int bonus = (depth > 5) + (PvNode || cutNode) + ((ss - 1)->statScore < -15401)
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+ ((ss - 1)->moveCount > 10);
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+ ((ss - 1)->moveCount > 11);
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update_continuation_histories(ss - 1, pos.piece_on(prevSq), prevSq,
|
update_continuation_histories(ss - 1, pos.piece_on(prevSq), prevSq,
|
||||||
stat_bonus(depth) * bonus);
|
stat_bonus(depth) * bonus);
|
||||||
thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()]
|
thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()]
|
||||||
|
@ -1476,7 +1476,7 @@ Value Search::Worker::qsearch(Position& pos, Stack* ss, Value alpha, Value beta,
|
||||||
if (bestValue > alpha)
|
if (bestValue > alpha)
|
||||||
alpha = bestValue;
|
alpha = bestValue;
|
||||||
|
|
||||||
futilityBase = ss->staticEval + 186;
|
futilityBase = ss->staticEval + 204;
|
||||||
}
|
}
|
||||||
|
|
||||||
const PieceToHistory* contHist[] = {(ss - 1)->continuationHistory,
|
const PieceToHistory* contHist[] = {(ss - 1)->continuationHistory,
|
||||||
|
@ -1556,7 +1556,7 @@ Value Search::Worker::qsearch(Position& pos, Stack* ss, Value alpha, Value beta,
|
||||||
continue;
|
continue;
|
||||||
|
|
||||||
// Do not search moves with bad enough SEE values (~5 Elo)
|
// Do not search moves with bad enough SEE values (~5 Elo)
|
||||||
if (!pos.see_ge(move, -76))
|
if (!pos.see_ge(move, -75))
|
||||||
continue;
|
continue;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -1711,7 +1711,7 @@ void update_all_stats(const Position& pos,
|
||||||
|
|
||||||
if (!pos.capture_stage(bestMove))
|
if (!pos.capture_stage(bestMove))
|
||||||
{
|
{
|
||||||
int bestMoveBonus = bestValue > beta + 177 ? quietMoveBonus // larger bonus
|
int bestMoveBonus = bestValue > beta + 167 ? quietMoveBonus // larger bonus
|
||||||
: stat_bonus(depth); // smaller bonus
|
: stat_bonus(depth); // smaller bonus
|
||||||
|
|
||||||
// Increase stats for the best move in case it was a quiet move
|
// Increase stats for the best move in case it was a quiet move
|
||||||
|
|
Loading…
Add table
Reference in a new issue