2 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
3 Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
5 Stockfish is free software: you can redistribute it and/or modify
6 it under the terms of the GNU General Public License as published by
7 the Free Software Foundation, either version 3 of the License, or
8 (at your option) any later version.
10 Stockfish is distributed in the hope that it will be useful,
11 but WITHOUT ANY WARRANTY; without even the implied warranty of
12 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
13 GNU General Public License for more details.
15 You should have received a copy of the GNU General Public License
16 along with this program. If not, see <http://www.gnu.org/licenses/>.
22 #include <cstring> // For std::memset
36 #include "syzygy/tbprobe.h"
37 #include "nnue/evaluate_nnue.h"
46 namespace Tablebases {
54 namespace TB = Tablebases;
58 using namespace Search;
62 // Different node types, used as a template parameter
63 enum NodeType { NonPV, PV, Root };
66 Value futility_margin(Depth d, bool improving) {
67 return Value(154 * (d - improving));
70 // Reductions lookup table, initialized at startup
71 int Reductions[MAX_MOVES]; // [depth or moveNumber]
73 Depth reduction(bool i, Depth d, int mn, Value delta, Value rootDelta) {
74 int r = Reductions[d] * Reductions[mn];
75 return (r + 1449 - int(delta) * 1032 / int(rootDelta)) / 1024 + (!i && r > 941);
78 constexpr int futility_move_count(bool improving, Depth depth) {
79 return improving ? (3 + depth * depth)
80 : (3 + depth * depth) / 2;
83 // History and stats update bonus, based on depth
84 int stat_bonus(Depth d) {
85 return std::min(340 * d - 470, 1855);
88 // Add a small random component to draw evaluations to avoid 3-fold blindness
89 Value value_draw(const Thread* thisThread) {
90 return VALUE_DRAW - 1 + Value(thisThread->nodes & 0x2);
93 // Skill structure is used to implement strength limit. If we have an uci_elo then
94 // we convert it to a suitable fractional skill level using anchoring to CCRL Elo
95 // (goldfish 1.13 = 2000) and a fit through Ordo derived Elo for match (TC 60+0.6)
96 // results spanning a wide range of k values.
98 Skill(int skill_level, int uci_elo) {
101 double e = double(uci_elo - 1320) / (3190 - 1320);
102 level = std::clamp((((37.2473 * e - 40.8525) * e + 22.2943) * e - 0.311438), 0.0, 19.0);
105 level = double(skill_level);
107 bool enabled() const { return level < 20.0; }
108 bool time_to_pick(Depth depth) const { return depth == 1 + int(level); }
109 Move pick_best(size_t multiPV);
112 Move best = MOVE_NONE;
115 template <NodeType nodeType>
116 Value search(Position& pos, Stack* ss, Value alpha, Value beta, Depth depth, bool cutNode);
118 template <NodeType nodeType>
119 Value qsearch(Position& pos, Stack* ss, Value alpha, Value beta, Depth depth = 0);
121 Value value_to_tt(Value v, int ply);
122 Value value_from_tt(Value v, int ply, int r50c);
123 void update_pv(Move* pv, Move move, const Move* childPv);
124 void update_continuation_histories(Stack* ss, Piece pc, Square to, int bonus);
125 void update_quiet_stats(const Position& pos, Stack* ss, Move move, int bonus);
126 void update_all_stats(const Position& pos, Stack* ss, Move bestMove, Value bestValue, Value beta, Square prevSq,
127 Move* quietsSearched, int quietCount, Move* capturesSearched, int captureCount, Depth depth);
129 // perft() is our utility to verify move generation. All the leaf nodes up
130 // to the given depth are generated and counted, and the sum is returned.
132 uint64_t perft(Position& pos, Depth depth) {
135 ASSERT_ALIGNED(&st, Eval::NNUE::CacheLineSize);
137 uint64_t cnt, nodes = 0;
138 const bool leaf = (depth == 2);
140 for (const auto& m : MoveList<LEGAL>(pos))
142 if (Root && depth <= 1)
147 cnt = leaf ? MoveList<LEGAL>(pos).size() : perft<false>(pos, depth - 1);
152 sync_cout << UCI::move(m, pos.is_chess960()) << ": " << cnt << sync_endl;
160 /// Search::init() is called at startup to initialize various lookup tables
162 void Search::init() {
164 for (int i = 1; i < MAX_MOVES; ++i)
165 Reductions[i] = int((19.47 + std::log(Threads.size()) / 2) * std::log(i));
169 /// Search::clear() resets search state to its initial value
171 void Search::clear() {
173 Threads.main()->wait_for_search_finished();
175 Time.availableNodes = 0;
178 Tablebases::init(Options["SyzygyPath"]); // Free mapped files
182 /// MainThread::search() is started when the program receives the UCI 'go'
183 /// command. It searches from the root position and outputs the "bestmove".
185 void MainThread::search() {
189 nodes = perft<true>(rootPos, Limits.perft);
190 sync_cout << "\nNodes searched: " << nodes << "\n" << sync_endl;
194 Color us = rootPos.side_to_move();
195 Time.init(Limits, us, rootPos.game_ply());
198 Eval::NNUE::verify();
200 if (rootMoves.empty())
202 rootMoves.emplace_back(MOVE_NONE);
203 sync_cout << "info depth 0 score "
204 << UCI::value(rootPos.checkers() ? -VALUE_MATE : VALUE_DRAW)
209 Threads.start_searching(); // start non-main threads
210 Thread::search(); // main thread start searching
213 // When we reach the maximum depth, we can arrive here without a raise of
214 // Threads.stop. However, if we are pondering or in an infinite search,
215 // the UCI protocol states that we shouldn't print the best move before the
216 // GUI sends a "stop" or "ponderhit" command. We therefore simply wait here
217 // until the GUI sends one of those commands.
219 while (!Threads.stop && (ponder || Limits.infinite))
220 {} // Busy wait for a stop or a ponder reset
222 // Stop the threads if not already stopped (also raise the stop if
223 // "ponderhit" just reset Threads.ponder).
226 // Wait until all threads have finished
227 Threads.wait_for_search_finished();
229 // When playing in 'nodes as time' mode, subtract the searched nodes from
230 // the available ones before exiting.
232 Time.availableNodes += Limits.inc[us] - Threads.nodes_searched();
234 Thread* bestThread = this;
235 Skill skill = Skill(Options["Skill Level"], Options["UCI_LimitStrength"] ? int(Options["UCI_Elo"]) : 0);
237 if ( int(Options["MultiPV"]) == 1
240 && rootMoves[0].pv[0] != MOVE_NONE)
241 bestThread = Threads.get_best_thread();
243 bestPreviousScore = bestThread->rootMoves[0].score;
244 bestPreviousAverageScore = bestThread->rootMoves[0].averageScore;
246 // Send again PV info if we have a new best thread
247 if (bestThread != this)
248 sync_cout << UCI::pv(bestThread->rootPos, bestThread->completedDepth) << sync_endl;
250 sync_cout << "bestmove " << UCI::move(bestThread->rootMoves[0].pv[0], rootPos.is_chess960());
252 if (bestThread->rootMoves[0].pv.size() > 1 || bestThread->rootMoves[0].extract_ponder_from_tt(rootPos))
253 std::cout << " ponder " << UCI::move(bestThread->rootMoves[0].pv[1], rootPos.is_chess960());
255 std::cout << sync_endl;
259 /// Thread::search() is the main iterative deepening loop. It calls search()
260 /// repeatedly with increasing depth until the allocated thinking time has been
261 /// consumed, the user stops the search, or the maximum search depth is reached.
263 void Thread::search() {
265 // To allow access to (ss-7) up to (ss+2), the stack must be oversized.
266 // The former is needed to allow update_continuation_histories(ss-1, ...),
267 // which accesses its argument at ss-6, also near the root.
268 // The latter is needed for statScore and killer initialization.
269 Stack stack[MAX_PLY+10], *ss = stack+7;
271 Value alpha, beta, delta;
272 Move lastBestMove = MOVE_NONE;
273 Depth lastBestMoveDepth = 0;
274 MainThread* mainThread = (this == Threads.main() ? Threads.main() : nullptr);
275 double timeReduction = 1, totBestMoveChanges = 0;
276 Color us = rootPos.side_to_move();
279 std::memset(ss-7, 0, 10 * sizeof(Stack));
280 for (int i = 7; i > 0; --i)
282 (ss-i)->continuationHistory = &this->continuationHistory[0][0][NO_PIECE][0]; // Use as a sentinel
283 (ss-i)->staticEval = VALUE_NONE;
286 for (int i = 0; i <= MAX_PLY + 2; ++i)
291 bestValue = delta = alpha = -VALUE_INFINITE;
292 beta = VALUE_INFINITE;
296 if (mainThread->bestPreviousScore == VALUE_INFINITE)
297 for (int i = 0; i < 4; ++i)
298 mainThread->iterValue[i] = VALUE_ZERO;
300 for (int i = 0; i < 4; ++i)
301 mainThread->iterValue[i] = mainThread->bestPreviousScore;
304 size_t multiPV = size_t(Options["MultiPV"]);
305 Skill skill(Options["Skill Level"], Options["UCI_LimitStrength"] ? int(Options["UCI_Elo"]) : 0);
307 // When playing with strength handicap enable MultiPV search that we will
308 // use behind the scenes to retrieve a set of possible moves.
310 multiPV = std::max(multiPV, (size_t)4);
312 multiPV = std::min(multiPV, rootMoves.size());
314 complexityAverage.set(153, 1);
316 optimism[us] = optimism[~us] = VALUE_ZERO;
318 int searchAgainCounter = 0;
320 // Iterative deepening loop until requested to stop or the target depth is reached
321 while ( ++rootDepth < MAX_PLY
323 && !(Limits.depth && mainThread && rootDepth > Limits.depth))
325 // Age out PV variability metric
327 totBestMoveChanges /= 2;
329 // Save the last iteration's scores before first PV line is searched and
330 // all the move scores except the (new) PV are set to -VALUE_INFINITE.
331 for (RootMove& rm : rootMoves)
332 rm.previousScore = rm.score;
337 if (!Threads.increaseDepth)
338 searchAgainCounter++;
340 // MultiPV loop. We perform a full root search for each PV line
341 for (pvIdx = 0; pvIdx < multiPV && !Threads.stop; ++pvIdx)
346 for (pvLast++; pvLast < rootMoves.size(); pvLast++)
347 if (rootMoves[pvLast].tbRank != rootMoves[pvFirst].tbRank)
351 // Reset UCI info selDepth for each depth and each PV line
354 // Reset aspiration window starting size
357 Value prev = rootMoves[pvIdx].averageScore;
358 delta = Value(10) + int(prev) * prev / 16502;
359 alpha = std::max(prev - delta,-VALUE_INFINITE);
360 beta = std::min(prev + delta, VALUE_INFINITE);
362 // Adjust optimism based on root move's previousScore
363 int opt = 120 * prev / (std::abs(prev) + 161);
364 optimism[ us] = Value(opt);
365 optimism[~us] = -optimism[us];
368 // Start with a small aspiration window and, in the case of a fail
369 // high/low, re-search with a bigger window until we don't fail
371 int failedHighCnt = 0;
374 // Adjust the effective depth searched, but ensuring at least one effective increment for every
375 // four searchAgain steps (see issue #2717).
376 Depth adjustedDepth = std::max(1, rootDepth - failedHighCnt - 3 * (searchAgainCounter + 1) / 4);
377 bestValue = Stockfish::search<Root>(rootPos, ss, alpha, beta, adjustedDepth, false);
379 // Bring the best move to the front. It is critical that sorting
380 // is done with a stable algorithm because all the values but the
381 // first and eventually the new best one are set to -VALUE_INFINITE
382 // and we want to keep the same order for all the moves except the
383 // new PV that goes to the front. Note that in case of MultiPV
384 // search the already searched PV lines are preserved.
385 std::stable_sort(rootMoves.begin() + pvIdx, rootMoves.begin() + pvLast);
387 // If search has been stopped, we break immediately. Sorting is
388 // safe because RootMoves is still valid, although it refers to
389 // the previous iteration.
393 // When failing high/low give some update (without cluttering
394 // the UI) before a re-search.
397 && (bestValue <= alpha || bestValue >= beta)
398 && Time.elapsed() > 3000)
399 sync_cout << UCI::pv(rootPos, rootDepth) << sync_endl;
401 // In case of failing low/high increase aspiration window and
402 // re-search, otherwise exit the loop.
403 if (bestValue <= alpha)
405 beta = (alpha + beta) / 2;
406 alpha = std::max(bestValue - delta, -VALUE_INFINITE);
410 mainThread->stopOnPonderhit = false;
412 else if (bestValue >= beta)
414 beta = std::min(bestValue + delta, VALUE_INFINITE);
420 delta += delta / 4 + 2;
422 assert(alpha >= -VALUE_INFINITE && beta <= VALUE_INFINITE);
425 // Sort the PV lines searched so far and update the GUI
426 std::stable_sort(rootMoves.begin() + pvFirst, rootMoves.begin() + pvIdx + 1);
429 && (Threads.stop || pvIdx + 1 == multiPV || Time.elapsed() > 3000))
430 sync_cout << UCI::pv(rootPos, rootDepth) << sync_endl;
434 completedDepth = rootDepth;
436 if (rootMoves[0].pv[0] != lastBestMove)
438 lastBestMove = rootMoves[0].pv[0];
439 lastBestMoveDepth = rootDepth;
442 // Have we found a "mate in x"?
444 && bestValue >= VALUE_MATE_IN_MAX_PLY
445 && VALUE_MATE - bestValue <= 2 * Limits.mate)
451 // If skill level is enabled and time is up, pick a sub-optimal best move
452 if (skill.enabled() && skill.time_to_pick(rootDepth))
453 skill.pick_best(multiPV);
455 // Use part of the gained time from a previous stable move for the current move
456 for (Thread* th : Threads)
458 totBestMoveChanges += th->bestMoveChanges;
459 th->bestMoveChanges = 0;
462 // Do we have time for the next iteration? Can we stop searching now?
463 if ( Limits.use_time_management()
465 && !mainThread->stopOnPonderhit)
467 double fallingEval = (69 + 13 * (mainThread->bestPreviousAverageScore - bestValue)
468 + 6 * (mainThread->iterValue[iterIdx] - bestValue)) / 619.6;
469 fallingEval = std::clamp(fallingEval, 0.5, 1.5);
471 // If the bestMove is stable over several iterations, reduce time accordingly
472 timeReduction = lastBestMoveDepth + 8 < completedDepth ? 1.57 : 0.65;
473 double reduction = (1.4 + mainThread->previousTimeReduction) / (2.08 * timeReduction);
474 double bestMoveInstability = 1 + 1.8 * totBestMoveChanges / Threads.size();
475 int complexity = mainThread->complexityAverage.value();
476 double complexPosition = std::min(1.03 + (complexity - 241) / 1552.0, 1.45);
478 double totalTime = Time.optimum() * fallingEval * reduction * bestMoveInstability * complexPosition;
480 // Cap used time in case of a single legal move for a better viewer experience in tournaments
481 // yielding correct scores and sufficiently fast moves.
482 if (rootMoves.size() == 1)
483 totalTime = std::min(500.0, totalTime);
485 // Stop the search if we have exceeded the totalTime
486 if (Time.elapsed() > totalTime)
488 // If we are allowed to ponder do not stop the search now but
489 // keep pondering until the GUI sends "ponderhit" or "stop".
490 if (mainThread->ponder)
491 mainThread->stopOnPonderhit = true;
495 else if ( !mainThread->ponder
496 && Time.elapsed() > totalTime * 0.50)
497 Threads.increaseDepth = false;
499 Threads.increaseDepth = true;
502 mainThread->iterValue[iterIdx] = bestValue;
503 iterIdx = (iterIdx + 1) & 3;
509 mainThread->previousTimeReduction = timeReduction;
511 // If skill level is enabled, swap best PV line with the sub-optimal one
513 std::swap(rootMoves[0], *std::find(rootMoves.begin(), rootMoves.end(),
514 skill.best ? skill.best : skill.pick_best(multiPV)));
520 // search<>() is the main search function for both PV and non-PV nodes
522 template <NodeType nodeType>
523 Value search(Position& pos, Stack* ss, Value alpha, Value beta, Depth depth, bool cutNode) {
525 constexpr bool PvNode = nodeType != NonPV;
526 constexpr bool rootNode = nodeType == Root;
528 // Check if we have an upcoming move which draws by repetition, or
529 // if the opponent had an alternative move earlier to this position.
531 && pos.rule50_count() >= 3
532 && alpha < VALUE_DRAW
533 && pos.has_game_cycle(ss->ply))
535 alpha = value_draw(pos.this_thread());
540 // Dive into quiescence search when the depth reaches zero
542 return qsearch<PvNode ? PV : NonPV>(pos, ss, alpha, beta);
544 assert(-VALUE_INFINITE <= alpha && alpha < beta && beta <= VALUE_INFINITE);
545 assert(PvNode || (alpha == beta - 1));
546 assert(0 < depth && depth < MAX_PLY);
547 assert(!(PvNode && cutNode));
549 Move pv[MAX_PLY+1], capturesSearched[32], quietsSearched[64];
551 ASSERT_ALIGNED(&st, Eval::NNUE::CacheLineSize);
555 Move ttMove, move, excludedMove, bestMove;
556 Depth extension, newDepth;
557 Value bestValue, value, ttValue, eval, maxValue, probCutBeta;
558 bool givesCheck, improving, priorCapture, singularQuietLMR;
559 bool capture, moveCountPruning, ttCapture;
561 int moveCount, captureCount, quietCount, improvement, complexity;
563 // Step 1. Initialize node
564 Thread* thisThread = pos.this_thread();
565 ss->inCheck = pos.checkers();
566 priorCapture = pos.captured_piece();
567 Color us = pos.side_to_move();
568 moveCount = captureCount = quietCount = ss->moveCount = 0;
569 bestValue = -VALUE_INFINITE;
570 maxValue = VALUE_INFINITE;
572 // Check for the available remaining time
573 if (thisThread == Threads.main())
574 static_cast<MainThread*>(thisThread)->check_time();
576 // Used to send selDepth info to GUI (selDepth counts from 1, ply from 0)
577 if (PvNode && thisThread->selDepth < ss->ply + 1)
578 thisThread->selDepth = ss->ply + 1;
582 // Step 2. Check for aborted search and immediate draw
583 if ( Threads.stop.load(std::memory_order_relaxed)
584 || pos.is_draw(ss->ply)
585 || ss->ply >= MAX_PLY)
586 return (ss->ply >= MAX_PLY && !ss->inCheck) ? evaluate(pos)
587 : value_draw(pos.this_thread());
589 // Step 3. Mate distance pruning. Even if we mate at the next move our score
590 // would be at best mate_in(ss->ply+1), but if alpha is already bigger because
591 // a shorter mate was found upward in the tree then there is no need to search
592 // because we will never beat the current alpha. Same logic but with reversed
593 // signs applies also in the opposite condition of being mated instead of giving
594 // mate. In this case return a fail-high score.
595 alpha = std::max(mated_in(ss->ply), alpha);
596 beta = std::min(mate_in(ss->ply+1), beta);
601 thisThread->rootDelta = beta - alpha;
603 assert(0 <= ss->ply && ss->ply < MAX_PLY);
605 (ss+1)->excludedMove = bestMove = MOVE_NONE;
606 (ss+2)->killers[0] = (ss+2)->killers[1] = MOVE_NONE;
607 (ss+2)->cutoffCnt = 0;
608 ss->doubleExtensions = (ss-1)->doubleExtensions;
609 Square prevSq = is_ok((ss-1)->currentMove) ? to_sq((ss-1)->currentMove) : SQ_NONE;
612 // Step 4. Transposition table lookup.
613 excludedMove = ss->excludedMove;
615 tte = TT.probe(posKey, ss->ttHit);
616 ttValue = ss->ttHit ? value_from_tt(tte->value(), ss->ply, pos.rule50_count()) : VALUE_NONE;
617 ttMove = rootNode ? thisThread->rootMoves[thisThread->pvIdx].pv[0]
618 : ss->ttHit ? tte->move() : MOVE_NONE;
619 ttCapture = ttMove && pos.capture_stage(ttMove);
621 // At this point, if excluded, skip straight to step 6, static eval. However,
622 // to save indentation, we list the condition in all code between here and there.
624 ss->ttPv = PvNode || (ss->ttHit && tte->is_pv());
626 // At non-PV nodes we check for an early TT cutoff
630 && tte->depth() > depth - (tte->bound() == BOUND_EXACT)
631 && ttValue != VALUE_NONE // Possible in case of TT access race
632 && (tte->bound() & (ttValue >= beta ? BOUND_LOWER : BOUND_UPPER)))
634 // If ttMove is quiet, update move sorting heuristics on TT hit (~2 Elo)
639 // Bonus for a quiet ttMove that fails high (~2 Elo)
641 update_quiet_stats(pos, ss, ttMove, stat_bonus(depth));
643 // Extra penalty for early quiet moves of the previous ply (~0 Elo on STC, ~2 Elo on LTC)
644 if (prevSq != SQ_NONE && (ss-1)->moveCount <= 2 && !priorCapture)
645 update_continuation_histories(ss-1, pos.piece_on(prevSq), prevSq, -stat_bonus(depth + 1));
647 // Penalty for a quiet ttMove that fails low (~1 Elo)
650 int penalty = -stat_bonus(depth);
651 thisThread->mainHistory[us][from_to(ttMove)] << penalty;
652 update_continuation_histories(ss, pos.moved_piece(ttMove), to_sq(ttMove), penalty);
656 // Partial workaround for the graph history interaction problem
657 // For high rule50 counts don't produce transposition table cutoffs.
658 if (pos.rule50_count() < 90)
662 // Step 5. Tablebases probe
663 if (!rootNode && !excludedMove && TB::Cardinality)
665 int piecesCount = pos.count<ALL_PIECES>();
667 if ( piecesCount <= TB::Cardinality
668 && (piecesCount < TB::Cardinality || depth >= TB::ProbeDepth)
669 && pos.rule50_count() == 0
670 && !pos.can_castle(ANY_CASTLING))
673 TB::WDLScore wdl = Tablebases::probe_wdl(pos, &err);
675 // Force check of time on the next occasion
676 if (thisThread == Threads.main())
677 static_cast<MainThread*>(thisThread)->callsCnt = 0;
679 if (err != TB::ProbeState::FAIL)
681 thisThread->tbHits.fetch_add(1, std::memory_order_relaxed);
683 int drawScore = TB::UseRule50 ? 1 : 0;
685 // use the range VALUE_MATE_IN_MAX_PLY to VALUE_TB_WIN_IN_MAX_PLY to score
686 value = wdl < -drawScore ? VALUE_MATED_IN_MAX_PLY + ss->ply + 1
687 : wdl > drawScore ? VALUE_MATE_IN_MAX_PLY - ss->ply - 1
688 : VALUE_DRAW + 2 * wdl * drawScore;
690 Bound b = wdl < -drawScore ? BOUND_UPPER
691 : wdl > drawScore ? BOUND_LOWER : BOUND_EXACT;
693 if ( b == BOUND_EXACT
694 || (b == BOUND_LOWER ? value >= beta : value <= alpha))
696 tte->save(posKey, value_to_tt(value, ss->ply), ss->ttPv, b,
697 std::min(MAX_PLY - 1, depth + 6),
698 MOVE_NONE, VALUE_NONE);
705 if (b == BOUND_LOWER)
706 bestValue = value, alpha = std::max(alpha, bestValue);
714 CapturePieceToHistory& captureHistory = thisThread->captureHistory;
716 // Step 6. Static evaluation of the position
719 // Skip early pruning when in check
720 ss->staticEval = eval = VALUE_NONE;
726 else if (excludedMove)
728 // Providing the hint that this node's accumulator will be used often brings significant Elo gain (13 Elo)
729 Eval::NNUE::hint_common_parent_position(pos);
730 eval = ss->staticEval;
731 complexity = abs(ss->staticEval - pos.psq_eg_stm());
735 // Never assume anything about values stored in TT
736 ss->staticEval = eval = tte->eval();
737 if (eval == VALUE_NONE)
738 ss->staticEval = eval = evaluate(pos, &complexity);
739 else // Fall back to (semi)classical complexity for TT hits, the NNUE complexity is lost
741 complexity = abs(ss->staticEval - pos.psq_eg_stm());
743 Eval::NNUE::hint_common_parent_position(pos);
746 // ttValue can be used as a better position evaluation (~7 Elo)
747 if ( ttValue != VALUE_NONE
748 && (tte->bound() & (ttValue > eval ? BOUND_LOWER : BOUND_UPPER)))
753 ss->staticEval = eval = evaluate(pos, &complexity);
754 // Save static evaluation into transposition table
755 tte->save(posKey, VALUE_NONE, ss->ttPv, BOUND_NONE, DEPTH_NONE, MOVE_NONE, eval);
758 thisThread->complexityAverage.update(complexity);
760 // Use static evaluation difference to improve quiet move ordering (~4 Elo)
761 if (is_ok((ss-1)->currentMove) && !(ss-1)->inCheck && !priorCapture)
763 int bonus = std::clamp(-19 * int((ss-1)->staticEval + ss->staticEval), -1920, 1920);
764 thisThread->mainHistory[~us][from_to((ss-1)->currentMove)] << bonus;
767 // Set up the improvement variable, which is the difference between the current
768 // static evaluation and the previous static evaluation at our turn (if we were
769 // in check at our previous move we look at the move prior to it). The improvement
770 // margin and the improving flag are used in various pruning heuristics.
771 improvement = (ss-2)->staticEval != VALUE_NONE ? ss->staticEval - (ss-2)->staticEval
772 : (ss-4)->staticEval != VALUE_NONE ? ss->staticEval - (ss-4)->staticEval
774 improving = improvement > 0;
776 // Step 7. Razoring (~1 Elo).
777 // If eval is really low check with qsearch if it can exceed alpha, if it can't,
778 // return a fail low.
779 if (eval < alpha - 426 - 252 * depth * depth)
781 value = qsearch<NonPV>(pos, ss, alpha - 1, alpha);
786 // Step 8. Futility pruning: child node (~40 Elo).
787 // The depth condition is important for mate finding.
790 && eval - futility_margin(depth, improving) - (ss-1)->statScore / 280 >= beta
792 && eval < 25128) // larger than VALUE_KNOWN_WIN, but smaller than TB wins
795 // Step 9. Null move search with verification search (~35 Elo)
797 && (ss-1)->currentMove != MOVE_NULL
798 && (ss-1)->statScore < 18755
800 && eval >= ss->staticEval
801 && ss->staticEval >= beta - 19 * depth - improvement / 13 + 253 + complexity / 25
803 && pos.non_pawn_material(us)
804 && (ss->ply >= thisThread->nmpMinPly || us != thisThread->nmpColor))
806 assert(eval - beta >= 0);
808 // Null move dynamic reduction based on depth, eval and complexity of position
809 Depth R = std::min(int(eval - beta) / 168, 6) + depth / 3 + 4 - (complexity > 825);
811 ss->currentMove = MOVE_NULL;
812 ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0];
814 pos.do_null_move(st);
816 Value nullValue = -search<NonPV>(pos, ss+1, -beta, -beta+1, depth-R, !cutNode);
818 pos.undo_null_move();
820 if (nullValue >= beta)
822 // Do not return unproven mate or TB scores
823 if (nullValue >= VALUE_TB_WIN_IN_MAX_PLY)
826 if (thisThread->nmpMinPly || (abs(beta) < VALUE_KNOWN_WIN && depth < 14))
829 assert(!thisThread->nmpMinPly); // Recursive verification is not allowed
831 // Do verification search at high depths, with null move pruning disabled
832 // for us, until ply exceeds nmpMinPly.
833 thisThread->nmpMinPly = ss->ply + 3 * (depth-R) / 4;
834 thisThread->nmpColor = us;
836 Value v = search<NonPV>(pos, ss, beta-1, beta, depth-R, false);
838 thisThread->nmpMinPly = 0;
845 probCutBeta = beta + 186 - 54 * improving;
847 // Step 10. ProbCut (~10 Elo)
848 // If we have a good enough capture (or queen promotion) and a reduced search returns a value
849 // much above beta, we can (almost) safely prune the previous move.
852 && abs(beta) < VALUE_TB_WIN_IN_MAX_PLY
853 // if value from transposition table is lower than probCutBeta, don't attempt probCut
854 // there and in further interactions with transposition table cutoff depth is set to depth - 3
855 // because probCut search has depth set to depth - 4 but we also do a move before it
856 // so effective depth is equal to depth - 3
858 && tte->depth() >= depth - 3
859 && ttValue != VALUE_NONE
860 && ttValue < probCutBeta))
862 assert(probCutBeta < VALUE_INFINITE);
864 MovePicker mp(pos, ttMove, probCutBeta - ss->staticEval, &captureHistory);
866 while ((move = mp.next_move()) != MOVE_NONE)
867 if (move != excludedMove && pos.legal(move))
869 assert(pos.capture_stage(move));
871 ss->currentMove = move;
872 ss->continuationHistory = &thisThread->continuationHistory[ss->inCheck]
874 [pos.moved_piece(move)]
877 pos.do_move(move, st);
879 // Perform a preliminary qsearch to verify that the move holds
880 value = -qsearch<NonPV>(pos, ss+1, -probCutBeta, -probCutBeta+1);
882 // If the qsearch held, perform the regular search
883 if (value >= probCutBeta)
884 value = -search<NonPV>(pos, ss+1, -probCutBeta, -probCutBeta+1, depth - 4, !cutNode);
888 if (value >= probCutBeta)
890 // Save ProbCut data into transposition table
891 tte->save(posKey, value_to_tt(value, ss->ply), ss->ttPv, BOUND_LOWER, depth - 3, move, ss->staticEval);
896 Eval::NNUE::hint_common_parent_position(pos);
899 // Step 11. If the position is not in TT, decrease depth by 3.
900 // Use qsearch if depth is equal or below zero (~9 Elo)
906 return qsearch<PV>(pos, ss, alpha, beta);
913 moves_loop: // When in check, search starts here
915 // Step 12. A small Probcut idea, when we are in check (~4 Elo)
916 probCutBeta = beta + 391;
921 && (tte->bound() & BOUND_LOWER)
922 && tte->depth() >= depth - 3
923 && ttValue >= probCutBeta
924 && abs(ttValue) <= VALUE_KNOWN_WIN
925 && abs(beta) <= VALUE_KNOWN_WIN)
928 const PieceToHistory* contHist[] = { (ss-1)->continuationHistory, (ss-2)->continuationHistory,
929 nullptr , (ss-4)->continuationHistory,
930 nullptr , (ss-6)->continuationHistory };
932 Move countermove = prevSq != SQ_NONE ? thisThread->counterMoves[pos.piece_on(prevSq)][prevSq] : MOVE_NONE;
934 MovePicker mp(pos, ttMove, depth, &thisThread->mainHistory,
941 moveCountPruning = singularQuietLMR = false;
943 // Indicate PvNodes that will probably fail low if the node was searched
944 // at a depth equal or greater than the current depth, and the result of this search was a fail low.
945 bool likelyFailLow = PvNode
947 && (tte->bound() & BOUND_UPPER)
948 && tte->depth() >= depth;
950 // Step 13. Loop through all pseudo-legal moves until no moves remain
951 // or a beta cutoff occurs.
952 while ((move = mp.next_move(moveCountPruning)) != MOVE_NONE)
956 if (move == excludedMove)
959 // At root obey the "searchmoves" option and skip moves not listed in Root
960 // Move List. As a consequence any illegal move is also skipped. In MultiPV
961 // mode we also skip PV moves which have been already searched and those
962 // of lower "TB rank" if we are in a TB root position.
963 if (rootNode && !std::count(thisThread->rootMoves.begin() + thisThread->pvIdx,
964 thisThread->rootMoves.begin() + thisThread->pvLast, move))
967 // Check for legality
968 if (!rootNode && !pos.legal(move))
971 ss->moveCount = ++moveCount;
973 if (rootNode && thisThread == Threads.main() && Time.elapsed() > 3000)
974 sync_cout << "info depth " << depth
975 << " currmove " << UCI::move(move, pos.is_chess960())
976 << " currmovenumber " << moveCount + thisThread->pvIdx << sync_endl;
978 (ss+1)->pv = nullptr;
981 capture = pos.capture_stage(move);
982 movedPiece = pos.moved_piece(move);
983 givesCheck = pos.gives_check(move);
985 // Calculate new depth for this move
986 newDepth = depth - 1;
988 Value delta = beta - alpha;
990 Depth r = reduction(improving, depth, moveCount, delta, thisThread->rootDelta);
992 // Step 14. Pruning at shallow depth (~120 Elo). Depth conditions are important for mate finding.
994 && pos.non_pawn_material(us)
995 && bestValue > VALUE_TB_LOSS_IN_MAX_PLY)
997 // Skip quiet moves if movecount exceeds our FutilityMoveCount threshold (~8 Elo)
998 moveCountPruning = moveCount >= futility_move_count(improving, depth);
1000 // Reduced depth of the next LMR search
1001 int lmrDepth = std::max(newDepth - r, 0);
1006 // Futility pruning for captures (~2 Elo)
1011 && ss->staticEval + 182 + 230 * lmrDepth + PieceValue[EG][pos.piece_on(to_sq(move))]
1012 + captureHistory[movedPiece][to_sq(move)][type_of(pos.piece_on(to_sq(move)))] / 7 < alpha)
1016 // SEE based pruning (~11 Elo)
1017 if (!pos.see_ge(move, occupied, Value(-206) * depth))
1019 if (depth < 2 - capture)
1021 // don't prune move if a heavy enemy piece (KQR) is under attack after the exchanges
1022 Bitboard leftEnemies = (pos.pieces(~us, QUEEN, ROOK) | pos.pieces(~us, KING)) & occupied;
1023 Bitboard attacks = 0;
1024 occupied |= to_sq(move);
1025 while (leftEnemies && !attacks)
1027 Square sq = pop_lsb(leftEnemies);
1028 attacks |= pos.attackers_to(sq, occupied) & pos.pieces(us) & occupied;
1029 // exclude Queen/Rook(s) which were already threatened before SEE
1030 if (attacks && (sq != pos.square<KING>(~us) && (pos.attackers_to(sq, pos.pieces()) & pos.pieces(us))))
1039 int history = (*contHist[0])[movedPiece][to_sq(move)]
1040 + (*contHist[1])[movedPiece][to_sq(move)]
1041 + (*contHist[3])[movedPiece][to_sq(move)];
1043 // Continuation history based pruning (~2 Elo)
1045 && history < -4405 * (depth - 1))
1048 history += 2 * thisThread->mainHistory[us][from_to(move)];
1050 lmrDepth += history / 7278;
1051 lmrDepth = std::max(lmrDepth, -2);
1053 // Futility pruning: parent node (~13 Elo)
1056 && ss->staticEval + 103 + 138 * lmrDepth <= alpha)
1059 lmrDepth = std::max(lmrDepth, 0);
1062 // Prune moves with negative SEE (~4 Elo)
1063 if (!pos.see_ge(move, occupied, Value(-24 * lmrDepth * lmrDepth - 15 * lmrDepth)))
1068 // Step 15. Extensions (~100 Elo)
1069 // We take care to not overdo to avoid search getting stuck.
1070 if (ss->ply < thisThread->rootDepth * 2)
1072 // Singular extension search (~94 Elo). If all moves but one fail low on a
1073 // search of (alpha-s, beta-s), and just one fails high on (alpha, beta),
1074 // then that move is singular and should be extended. To verify this we do
1075 // a reduced search on all the other moves but the ttMove and if the
1076 // result is lower than ttValue minus a margin, then we will extend the ttMove.
1078 && depth >= 4 - (thisThread->completedDepth > 21) + 2 * (PvNode && tte->is_pv())
1080 && !excludedMove // Avoid recursive singular search
1081 /* && ttValue != VALUE_NONE Already implicit in the next condition */
1082 && abs(ttValue) < VALUE_KNOWN_WIN
1083 && (tte->bound() & BOUND_LOWER)
1084 && tte->depth() >= depth - 3)
1086 Value singularBeta = ttValue - (3 + 2 * (ss->ttPv && !PvNode)) * depth / 2;
1087 Depth singularDepth = (depth - 1) / 2;
1089 ss->excludedMove = move;
1090 value = search<NonPV>(pos, ss, singularBeta - 1, singularBeta, singularDepth, cutNode);
1091 ss->excludedMove = MOVE_NONE;
1093 if (value < singularBeta)
1096 singularQuietLMR = !ttCapture;
1098 // Avoid search explosion by limiting the number of double extensions
1100 && value < singularBeta - 25
1101 && ss->doubleExtensions <= 10)
1104 depth += depth < 13;
1108 // Multi-cut pruning
1109 // Our ttMove is assumed to fail high, and now we failed high also on a reduced
1110 // search without the ttMove. So we assume this expected Cut-node is not singular,
1111 // that multiple moves fail high, and we can prune the whole subtree by returning
1113 else if (singularBeta >= beta)
1114 return singularBeta;
1116 // If the eval of ttMove is greater than beta, we reduce it (negative extension) (~7 Elo)
1117 else if (ttValue >= beta)
1118 extension = -2 - !PvNode;
1120 // If the eval of ttMove is less than value, we reduce it (negative extension) (~1 Elo)
1121 else if (ttValue <= value)
1124 // If the eval of ttMove is less than alpha, we reduce it (negative extension) (~1 Elo)
1125 else if (ttValue <= alpha)
1129 // Check extensions (~1 Elo)
1130 else if ( givesCheck
1132 && abs(ss->staticEval) > 88)
1135 // Quiet ttMove extensions (~1 Elo)
1138 && move == ss->killers[0]
1139 && (*contHist[0])[movedPiece][to_sq(move)] >= 5705)
1143 // Add extension to new depth
1144 newDepth += extension;
1145 ss->doubleExtensions = (ss-1)->doubleExtensions + (extension == 2);
1147 // Speculative prefetch as early as possible
1148 prefetch(TT.first_entry(pos.key_after(move)));
1150 // Update the current move (this must be done after singular extension search)
1151 ss->currentMove = move;
1152 ss->continuationHistory = &thisThread->continuationHistory[ss->inCheck]
1157 // Step 16. Make the move
1158 pos.do_move(move, st, givesCheck);
1160 // Decrease reduction if position is or has been on the PV
1161 // and node is not likely to fail low. (~3 Elo)
1166 // Decrease reduction if opponent's move count is high (~1 Elo)
1167 if ((ss-1)->moveCount > 7)
1170 // Increase reduction for cut nodes (~3 Elo)
1174 // Increase reduction if ttMove is a capture (~3 Elo)
1178 // Decrease reduction for PvNodes based on depth (~2 Elo)
1180 r -= 1 + 12 / (3 + depth);
1182 // Decrease reduction if ttMove has been singularly extended (~1 Elo)
1183 if (singularQuietLMR)
1186 // Decrease reduction if we move a threatened piece (~1 Elo)
1188 && (mp.threatenedPieces & from_sq(move)))
1191 // Increase reduction if next ply has a lot of fail high (~5 Elo)
1192 if ((ss+1)->cutoffCnt > 3)
1195 // Decrease reduction if move is a killer and we have a good history (~1 Elo)
1196 if (move == ss->killers[0]
1197 && (*contHist[0])[movedPiece][to_sq(move)] >= 3722)
1200 ss->statScore = 2 * thisThread->mainHistory[us][from_to(move)]
1201 + (*contHist[0])[movedPiece][to_sq(move)]
1202 + (*contHist[1])[movedPiece][to_sq(move)]
1203 + (*contHist[3])[movedPiece][to_sq(move)]
1206 // Decrease/increase reduction for moves with a good/bad history (~25 Elo)
1207 r -= ss->statScore / (11791 + 3992 * (depth > 6 && depth < 19));
1209 // Step 17. Late moves reduction / extension (LMR, ~117 Elo)
1210 // We use various heuristics for the sons of a node after the first son has
1211 // been searched. In general we would like to reduce them, but there are many
1212 // cases where we extend a son if it has good chances to be "interesting".
1214 && moveCount > 1 + (PvNode && ss->ply <= 1)
1217 || (cutNode && (ss-1)->moveCount > 1)))
1219 // In general we want to cap the LMR depth search at newDepth, but when
1220 // reduction is negative, we allow this move a limited search extension
1221 // beyond the first move depth. This may lead to hidden double extensions.
1222 Depth d = std::clamp(newDepth - r, 1, newDepth + 1);
1224 value = -search<NonPV>(pos, ss+1, -(alpha+1), -alpha, d, true);
1226 // Do full depth search when reduced LMR search fails high
1227 if (value > alpha && d < newDepth)
1229 // Adjust full depth search based on LMR results - if result
1230 // was good enough search deeper, if it was bad enough search shallower
1231 const bool doDeeperSearch = value > (alpha + 58 + 12 * (newDepth - d));
1232 const bool doEvenDeeperSearch = value > alpha + 588 && ss->doubleExtensions <= 5;
1233 const bool doShallowerSearch = value < bestValue + newDepth;
1235 ss->doubleExtensions = ss->doubleExtensions + doEvenDeeperSearch;
1237 newDepth += doDeeperSearch - doShallowerSearch + doEvenDeeperSearch;
1240 value = -search<NonPV>(pos, ss+1, -(alpha+1), -alpha, newDepth, !cutNode);
1242 int bonus = value > alpha ? stat_bonus(newDepth)
1243 : -stat_bonus(newDepth);
1245 update_continuation_histories(ss, movedPiece, to_sq(move), bonus);
1249 // Step 18. Full depth search when LMR is skipped. If expected reduction is high, reduce its depth by 1.
1250 else if (!PvNode || moveCount > 1)
1252 // Increase reduction for cut nodes and not ttMove (~1 Elo)
1253 if (!ttMove && cutNode)
1256 value = -search<NonPV>(pos, ss+1, -(alpha+1), -alpha, newDepth - (r > 4), !cutNode);
1259 // For PV nodes only, do a full PV search on the first move or after a fail
1260 // high (in the latter case search only if value < beta), otherwise let the
1261 // parent node fail low with value <= alpha and try another move.
1262 if (PvNode && (moveCount == 1 || (value > alpha && (rootNode || value < beta))))
1265 (ss+1)->pv[0] = MOVE_NONE;
1267 value = -search<PV>(pos, ss+1, -beta, -alpha, newDepth, false);
1270 // Step 19. Undo move
1271 pos.undo_move(move);
1273 assert(value > -VALUE_INFINITE && value < VALUE_INFINITE);
1275 // Step 20. Check for a new best move
1276 // Finished searching the move. If a stop occurred, the return value of
1277 // the search cannot be trusted, and we return immediately without
1278 // updating best move, PV and TT.
1279 if (Threads.stop.load(std::memory_order_relaxed))
1284 RootMove& rm = *std::find(thisThread->rootMoves.begin(),
1285 thisThread->rootMoves.end(), move);
1287 rm.averageScore = rm.averageScore != -VALUE_INFINITE ? (2 * value + rm.averageScore) / 3 : value;
1289 // PV move or new best move?
1290 if (moveCount == 1 || value > alpha)
1292 rm.score = rm.uciScore = value;
1293 rm.selDepth = thisThread->selDepth;
1294 rm.scoreLowerbound = rm.scoreUpperbound = false;
1298 rm.scoreLowerbound = true;
1301 else if (value <= alpha)
1303 rm.scoreUpperbound = true;
1304 rm.uciScore = alpha;
1311 for (Move* m = (ss+1)->pv; *m != MOVE_NONE; ++m)
1312 rm.pv.push_back(*m);
1314 // We record how often the best move has been changed in each iteration.
1315 // This information is used for time management. In MultiPV mode,
1316 // we must take care to only do this for the first PV line.
1318 && !thisThread->pvIdx)
1319 ++thisThread->bestMoveChanges;
1322 // All other moves but the PV are set to the lowest value: this
1323 // is not a problem when sorting because the sort is stable and the
1324 // move position in the list is preserved - just the PV is pushed up.
1325 rm.score = -VALUE_INFINITE;
1328 if (value > bestValue)
1336 if (PvNode && !rootNode) // Update pv even in fail-high case
1337 update_pv(ss->pv, move, (ss+1)->pv);
1339 if (PvNode && value < beta) // Update alpha! Always alpha < beta
1343 // Reduce other moves if we have found at least one score improvement (~1 Elo)
1355 assert(value >= beta); // Fail high
1362 // If the move is worse than some previously searched move, remember it to update its stats later
1363 if (move != bestMove)
1365 if (capture && captureCount < 32)
1366 capturesSearched[captureCount++] = move;
1368 else if (!capture && quietCount < 64)
1369 quietsSearched[quietCount++] = move;
1373 // The following condition would detect a stop only after move loop has been
1374 // completed. But in this case bestValue is valid because we have fully
1375 // searched our subtree, and we can anyhow save the result in TT.
1381 // Step 21. Check for mate and stalemate
1382 // All legal moves have been searched and if there are no legal moves, it
1383 // must be a mate or a stalemate. If we are in a singular extension search then
1384 // return a fail low score.
1386 assert(moveCount || !ss->inCheck || excludedMove || !MoveList<LEGAL>(pos).size());
1389 bestValue = excludedMove ? alpha :
1390 ss->inCheck ? mated_in(ss->ply)
1393 // If there is a move which produces search value greater than alpha we update stats of searched moves
1395 update_all_stats(pos, ss, bestMove, bestValue, beta, prevSq,
1396 quietsSearched, quietCount, capturesSearched, captureCount, depth);
1398 // Bonus for prior countermove that caused the fail low
1399 else if (!priorCapture && prevSq != SQ_NONE)
1401 int bonus = (depth > 5) + (PvNode || cutNode) + (bestValue < alpha - 97 * depth) + ((ss-1)->moveCount > 10);
1402 update_continuation_histories(ss-1, pos.piece_on(prevSq), prevSq, stat_bonus(depth) * bonus);
1406 bestValue = std::min(bestValue, maxValue);
1408 // If no good move is found and the previous position was ttPv, then the previous
1409 // opponent move is probably good and the new position is added to the search tree. (~7 Elo)
1410 if (bestValue <= alpha)
1411 ss->ttPv = ss->ttPv || ((ss-1)->ttPv && depth > 3);
1413 // Write gathered information in transposition table
1414 if (!excludedMove && !(rootNode && thisThread->pvIdx))
1415 tte->save(posKey, value_to_tt(bestValue, ss->ply), ss->ttPv,
1416 bestValue >= beta ? BOUND_LOWER :
1417 PvNode && bestMove ? BOUND_EXACT : BOUND_UPPER,
1418 depth, bestMove, ss->staticEval);
1420 assert(bestValue > -VALUE_INFINITE && bestValue < VALUE_INFINITE);
1426 // qsearch() is the quiescence search function, which is called by the main search
1427 // function with zero depth, or recursively with further decreasing depth per call.
1429 template <NodeType nodeType>
1430 Value qsearch(Position& pos, Stack* ss, Value alpha, Value beta, Depth depth) {
1432 static_assert(nodeType != Root);
1433 constexpr bool PvNode = nodeType == PV;
1435 assert(alpha >= -VALUE_INFINITE && alpha < beta && beta <= VALUE_INFINITE);
1436 assert(PvNode || (alpha == beta - 1));
1441 ASSERT_ALIGNED(&st, Eval::NNUE::CacheLineSize);
1445 Move ttMove, move, bestMove;
1447 Value bestValue, value, ttValue, futilityValue, futilityBase;
1448 bool pvHit, givesCheck, capture;
1451 // Step 1. Initialize node
1455 ss->pv[0] = MOVE_NONE;
1458 Thread* thisThread = pos.this_thread();
1459 bestMove = MOVE_NONE;
1460 ss->inCheck = pos.checkers();
1463 // Step 2. Check for an immediate draw or maximum ply reached
1464 if ( pos.is_draw(ss->ply)
1465 || ss->ply >= MAX_PLY)
1466 return (ss->ply >= MAX_PLY && !ss->inCheck) ? evaluate(pos) : VALUE_DRAW;
1468 assert(0 <= ss->ply && ss->ply < MAX_PLY);
1470 // Decide whether or not to include checks: this fixes also the type of
1471 // TT entry depth that we are going to use. Note that in qsearch we use
1472 // only two types of depth in TT: DEPTH_QS_CHECKS or DEPTH_QS_NO_CHECKS.
1473 ttDepth = ss->inCheck || depth >= DEPTH_QS_CHECKS ? DEPTH_QS_CHECKS
1474 : DEPTH_QS_NO_CHECKS;
1476 // Step 3. Transposition table lookup
1478 tte = TT.probe(posKey, ss->ttHit);
1479 ttValue = ss->ttHit ? value_from_tt(tte->value(), ss->ply, pos.rule50_count()) : VALUE_NONE;
1480 ttMove = ss->ttHit ? tte->move() : MOVE_NONE;
1481 pvHit = ss->ttHit && tte->is_pv();
1483 // At non-PV nodes we check for an early TT cutoff
1486 && tte->depth() >= ttDepth
1487 && ttValue != VALUE_NONE // Only in case of TT access race
1488 && (tte->bound() & (ttValue >= beta ? BOUND_LOWER : BOUND_UPPER)))
1491 // Step 4. Static evaluation of the position
1494 ss->staticEval = VALUE_NONE;
1495 bestValue = futilityBase = -VALUE_INFINITE;
1501 // Never assume anything about values stored in TT
1502 if ((ss->staticEval = bestValue = tte->eval()) == VALUE_NONE)
1503 ss->staticEval = bestValue = evaluate(pos);
1505 // ttValue can be used as a better position evaluation (~13 Elo)
1506 if ( ttValue != VALUE_NONE
1507 && (tte->bound() & (ttValue > bestValue ? BOUND_LOWER : BOUND_UPPER)))
1508 bestValue = ttValue;
1511 // In case of null move search use previous static eval with a different sign
1512 ss->staticEval = bestValue =
1513 (ss-1)->currentMove != MOVE_NULL ? evaluate(pos)
1514 : -(ss-1)->staticEval;
1516 // Stand pat. Return immediately if static value is at least beta
1517 if (bestValue >= beta)
1519 // Save gathered info in transposition table
1521 tte->save(posKey, value_to_tt(bestValue, ss->ply), false, BOUND_LOWER,
1522 DEPTH_NONE, MOVE_NONE, ss->staticEval);
1527 if (PvNode && bestValue > alpha)
1530 futilityBase = bestValue + 168;
1533 const PieceToHistory* contHist[] = { (ss-1)->continuationHistory, (ss-2)->continuationHistory,
1534 nullptr , (ss-4)->continuationHistory,
1535 nullptr , (ss-6)->continuationHistory };
1537 // Initialize a MovePicker object for the current position, and prepare
1538 // to search the moves. Because the depth is <= 0 here, only captures,
1539 // queen promotions, and other checks (only if depth >= DEPTH_QS_CHECKS)
1540 // will be generated.
1541 Square prevSq = (ss-1)->currentMove != MOVE_NULL ? to_sq((ss-1)->currentMove) : SQ_NONE;
1542 MovePicker mp(pos, ttMove, depth, &thisThread->mainHistory,
1543 &thisThread->captureHistory,
1547 int quietCheckEvasions = 0;
1550 // Step 5. Loop through all pseudo-legal moves until no moves remain
1551 // or a beta cutoff occurs.
1552 while ((move = mp.next_move()) != MOVE_NONE)
1554 assert(is_ok(move));
1556 // Check for legality
1557 if (!pos.legal(move))
1560 givesCheck = pos.gives_check(move);
1561 capture = pos.capture_stage(move);
1566 if (bestValue > VALUE_TB_LOSS_IN_MAX_PLY)
1568 // Futility pruning and moveCount pruning (~10 Elo)
1570 && to_sq(move) != prevSq
1571 && futilityBase > -VALUE_KNOWN_WIN
1572 && type_of(move) != PROMOTION)
1577 futilityValue = futilityBase + PieceValue[EG][pos.piece_on(to_sq(move))];
1579 if (futilityValue <= alpha)
1581 bestValue = std::max(bestValue, futilityValue);
1585 if (futilityBase <= alpha && !pos.see_ge(move, occupied, VALUE_ZERO + 1))
1587 bestValue = std::max(bestValue, futilityBase);
1592 // We prune after 2nd quiet check evasion where being 'in check' is implicitly checked through the counter
1593 // and being a 'quiet' apart from being a tt move is assumed after an increment because captures are pushed ahead.
1594 if (quietCheckEvasions > 1)
1597 // Continuation history based pruning (~3 Elo)
1599 && (*contHist[0])[pos.moved_piece(move)][to_sq(move)] < 0
1600 && (*contHist[1])[pos.moved_piece(move)][to_sq(move)] < 0)
1603 // Do not search moves with bad enough SEE values (~5 Elo)
1604 if (!pos.see_ge(move, occupied, Value(-110)))
1608 // Speculative prefetch as early as possible
1609 prefetch(TT.first_entry(pos.key_after(move)));
1611 // Update the current move
1612 ss->currentMove = move;
1613 ss->continuationHistory = &thisThread->continuationHistory[ss->inCheck]
1615 [pos.moved_piece(move)]
1618 quietCheckEvasions += !capture && ss->inCheck;
1620 // Step 7. Make and search the move
1621 pos.do_move(move, st, givesCheck);
1622 value = -qsearch<nodeType>(pos, ss+1, -beta, -alpha, depth - 1);
1623 pos.undo_move(move);
1625 assert(value > -VALUE_INFINITE && value < VALUE_INFINITE);
1627 // Step 8. Check for a new best move
1628 if (value > bestValue)
1636 if (PvNode) // Update pv even in fail-high case
1637 update_pv(ss->pv, move, (ss+1)->pv);
1639 if (PvNode && value < beta) // Update alpha here!
1647 // Step 9. Check for mate
1648 // All legal moves have been searched. A special case: if we're in check
1649 // and no legal moves were found, it is checkmate.
1650 if (ss->inCheck && bestValue == -VALUE_INFINITE)
1652 assert(!MoveList<LEGAL>(pos).size());
1654 return mated_in(ss->ply); // Plies to mate from the root
1657 // Save gathered info in transposition table
1658 tte->save(posKey, value_to_tt(bestValue, ss->ply), pvHit,
1659 bestValue >= beta ? BOUND_LOWER : BOUND_UPPER,
1660 ttDepth, bestMove, ss->staticEval);
1662 assert(bestValue > -VALUE_INFINITE && bestValue < VALUE_INFINITE);
1668 // value_to_tt() adjusts a mate or TB score from "plies to mate from the root" to
1669 // "plies to mate from the current position". Standard scores are unchanged.
1670 // The function is called before storing a value in the transposition table.
1672 Value value_to_tt(Value v, int ply) {
1674 assert(v != VALUE_NONE);
1676 return v >= VALUE_TB_WIN_IN_MAX_PLY ? v + ply
1677 : v <= VALUE_TB_LOSS_IN_MAX_PLY ? v - ply : v;
1681 // value_from_tt() is the inverse of value_to_tt(): it adjusts a mate or TB score
1682 // from the transposition table (which refers to the plies to mate/be mated from
1683 // current position) to "plies to mate/be mated (TB win/loss) from the root". However,
1684 // for mate scores, to avoid potentially false mate scores related to the 50 moves rule
1685 // and the graph history interaction, we return an optimal TB score instead.
1687 Value value_from_tt(Value v, int ply, int r50c) {
1689 if (v == VALUE_NONE)
1692 if (v >= VALUE_TB_WIN_IN_MAX_PLY) // TB win or better
1694 if (v >= VALUE_MATE_IN_MAX_PLY && VALUE_MATE - v > 99 - r50c)
1695 return VALUE_MATE_IN_MAX_PLY - 1; // do not return a potentially false mate score
1700 if (v <= VALUE_TB_LOSS_IN_MAX_PLY) // TB loss or worse
1702 if (v <= VALUE_MATED_IN_MAX_PLY && VALUE_MATE + v > 99 - r50c)
1703 return VALUE_MATED_IN_MAX_PLY + 1; // do not return a potentially false mate score
1712 // update_pv() adds current move and appends child pv[]
1714 void update_pv(Move* pv, Move move, const Move* childPv) {
1716 for (*pv++ = move; childPv && *childPv != MOVE_NONE; )
1722 // update_all_stats() updates stats at the end of search() when a bestMove is found
1724 void update_all_stats(const Position& pos, Stack* ss, Move bestMove, Value bestValue, Value beta, Square prevSq,
1725 Move* quietsSearched, int quietCount, Move* capturesSearched, int captureCount, Depth depth) {
1727 Color us = pos.side_to_move();
1728 Thread* thisThread = pos.this_thread();
1729 CapturePieceToHistory& captureHistory = thisThread->captureHistory;
1730 Piece moved_piece = pos.moved_piece(bestMove);
1733 int bonus1 = stat_bonus(depth + 1);
1735 if (!pos.capture_stage(bestMove))
1737 int bonus2 = bestValue > beta + 153 ? bonus1 // larger bonus
1738 : stat_bonus(depth); // smaller bonus
1740 // Increase stats for the best move in case it was a quiet move
1741 update_quiet_stats(pos, ss, bestMove, bonus2);
1743 // Decrease stats for all non-best quiet moves
1744 for (int i = 0; i < quietCount; ++i)
1746 thisThread->mainHistory[us][from_to(quietsSearched[i])] << -bonus2;
1747 update_continuation_histories(ss, pos.moved_piece(quietsSearched[i]), to_sq(quietsSearched[i]), -bonus2);
1752 // Increase stats for the best move in case it was a capture move
1753 captured = type_of(pos.piece_on(to_sq(bestMove)));
1754 captureHistory[moved_piece][to_sq(bestMove)][captured] << bonus1;
1757 // Extra penalty for a quiet early move that was not a TT move or
1758 // main killer move in previous ply when it gets refuted.
1759 if ( prevSq != SQ_NONE
1760 && ((ss-1)->moveCount == 1 + (ss-1)->ttHit || ((ss-1)->currentMove == (ss-1)->killers[0]))
1761 && !pos.captured_piece())
1762 update_continuation_histories(ss-1, pos.piece_on(prevSq), prevSq, -bonus1);
1764 // Decrease stats for all non-best capture moves
1765 for (int i = 0; i < captureCount; ++i)
1767 moved_piece = pos.moved_piece(capturesSearched[i]);
1768 captured = type_of(pos.piece_on(to_sq(capturesSearched[i])));
1769 captureHistory[moved_piece][to_sq(capturesSearched[i])][captured] << -bonus1;
1774 // update_continuation_histories() updates histories of the move pairs formed
1775 // by moves at ply -1, -2, -4, and -6 with current move.
1777 void update_continuation_histories(Stack* ss, Piece pc, Square to, int bonus) {
1779 for (int i : {1, 2, 4, 6})
1781 // Only update first 2 continuation histories if we are in check
1782 if (ss->inCheck && i > 2)
1784 if (is_ok((ss-i)->currentMove))
1785 (*(ss-i)->continuationHistory)[pc][to] << bonus;
1790 // update_quiet_stats() updates move sorting heuristics
1792 void update_quiet_stats(const Position& pos, Stack* ss, Move move, int bonus) {
1795 if (ss->killers[0] != move)
1797 ss->killers[1] = ss->killers[0];
1798 ss->killers[0] = move;
1801 Color us = pos.side_to_move();
1802 Thread* thisThread = pos.this_thread();
1803 thisThread->mainHistory[us][from_to(move)] << bonus;
1804 update_continuation_histories(ss, pos.moved_piece(move), to_sq(move), bonus);
1806 // Update countermove history
1807 if (is_ok((ss-1)->currentMove))
1809 Square prevSq = to_sq((ss-1)->currentMove);
1810 thisThread->counterMoves[pos.piece_on(prevSq)][prevSq] = move;
1814 // When playing with strength handicap, choose best move among a set of RootMoves
1815 // using a statistical rule dependent on 'level'. Idea by Heinz van Saanen.
1817 Move Skill::pick_best(size_t multiPV) {
1819 const RootMoves& rootMoves = Threads.main()->rootMoves;
1820 static PRNG rng(now()); // PRNG sequence should be non-deterministic
1822 // RootMoves are already sorted by score in descending order
1823 Value topScore = rootMoves[0].score;
1824 int delta = std::min(topScore - rootMoves[multiPV - 1].score, PawnValueMg);
1825 int maxScore = -VALUE_INFINITE;
1826 double weakness = 120 - 2 * level;
1828 // Choose best move. For each move score we add two terms, both dependent on
1829 // weakness. One is deterministic and bigger for weaker levels, and one is
1830 // random. Then we choose the move with the resulting highest score.
1831 for (size_t i = 0; i < multiPV; ++i)
1833 // This is our magic formula
1834 int push = int(( weakness * int(topScore - rootMoves[i].score)
1835 + delta * (rng.rand<unsigned>() % int(weakness))) / 128);
1837 if (rootMoves[i].score + push >= maxScore)
1839 maxScore = rootMoves[i].score + push;
1840 best = rootMoves[i].pv[0];
1850 /// MainThread::check_time() is used to print debug info and, more importantly,
1851 /// to detect when we are out of available time and thus stop the search.
1853 void MainThread::check_time() {
1858 // When using nodes, ensure checking rate is not lower than 0.1% of nodes
1859 callsCnt = Limits.nodes ? std::min(1024, int(Limits.nodes / 1024)) : 1024;
1861 static TimePoint lastInfoTime = now();
1863 TimePoint elapsed = Time.elapsed();
1864 TimePoint tick = Limits.startTime + elapsed;
1866 if (tick - lastInfoTime >= 1000)
1868 lastInfoTime = tick;
1872 // We should not stop pondering until told so by the GUI
1876 if ( (Limits.use_time_management() && (elapsed > Time.maximum() - 10 || stopOnPonderhit))
1877 || (Limits.movetime && elapsed >= Limits.movetime)
1878 || (Limits.nodes && Threads.nodes_searched() >= (uint64_t)Limits.nodes))
1879 Threads.stop = true;
1883 /// UCI::pv() formats PV information according to the UCI protocol. UCI requires
1884 /// that all (if any) unsearched PV lines are sent using a previous search score.
1886 string UCI::pv(const Position& pos, Depth depth) {
1888 std::stringstream ss;
1889 TimePoint elapsed = Time.elapsed() + 1;
1890 const RootMoves& rootMoves = pos.this_thread()->rootMoves;
1891 size_t pvIdx = pos.this_thread()->pvIdx;
1892 size_t multiPV = std::min((size_t)Options["MultiPV"], rootMoves.size());
1893 uint64_t nodesSearched = Threads.nodes_searched();
1894 uint64_t tbHits = Threads.tb_hits() + (TB::RootInTB ? rootMoves.size() : 0);
1896 for (size_t i = 0; i < multiPV; ++i)
1898 bool updated = rootMoves[i].score != -VALUE_INFINITE;
1900 if (depth == 1 && !updated && i > 0)
1903 Depth d = updated ? depth : std::max(1, depth - 1);
1904 Value v = updated ? rootMoves[i].uciScore : rootMoves[i].previousScore;
1906 if (v == -VALUE_INFINITE)
1909 bool tb = TB::RootInTB && abs(v) < VALUE_MATE_IN_MAX_PLY;
1910 v = tb ? rootMoves[i].tbScore : v;
1912 if (ss.rdbuf()->in_avail()) // Not at first line
1917 << " seldepth " << rootMoves[i].selDepth
1918 << " multipv " << i + 1
1919 << " score " << UCI::value(v);
1921 if (Options["UCI_ShowWDL"])
1922 ss << UCI::wdl(v, pos.game_ply());
1924 if (i == pvIdx && !tb && updated) // tablebase- and previous-scores are exact
1925 ss << (rootMoves[i].scoreLowerbound ? " lowerbound" : (rootMoves[i].scoreUpperbound ? " upperbound" : ""));
1927 ss << " nodes " << nodesSearched
1928 << " nps " << nodesSearched * 1000 / elapsed
1929 << " hashfull " << TT.hashfull()
1930 << " tbhits " << tbHits
1931 << " time " << elapsed
1934 for (Move m : rootMoves[i].pv)
1935 ss << " " << UCI::move(m, pos.is_chess960());
1942 /// RootMove::extract_ponder_from_tt() is called in case we have no ponder move
1943 /// before exiting the search, for instance, in case we stop the search during a
1944 /// fail high at root. We try hard to have a ponder move to return to the GUI,
1945 /// otherwise in case of 'ponder on' we have nothing to think on.
1947 bool RootMove::extract_ponder_from_tt(Position& pos) {
1950 ASSERT_ALIGNED(&st, Eval::NNUE::CacheLineSize);
1954 assert(pv.size() == 1);
1956 if (pv[0] == MOVE_NONE)
1959 pos.do_move(pv[0], st);
1960 TTEntry* tte = TT.probe(pos.key(), ttHit);
1964 Move m = tte->move(); // Local copy to be SMP safe
1965 if (MoveList<LEGAL>(pos).contains(m))
1969 pos.undo_move(pv[0]);
1970 return pv.size() > 1;
1973 void Tablebases::rank_root_moves(Position& pos, Search::RootMoves& rootMoves) {
1976 UseRule50 = bool(Options["Syzygy50MoveRule"]);
1977 ProbeDepth = int(Options["SyzygyProbeDepth"]);
1978 Cardinality = int(Options["SyzygyProbeLimit"]);
1979 bool dtz_available = true;
1981 // Tables with fewer pieces than SyzygyProbeLimit are searched with
1982 // ProbeDepth == DEPTH_ZERO
1983 if (Cardinality > MaxCardinality)
1985 Cardinality = MaxCardinality;
1989 if (Cardinality >= popcount(pos.pieces()) && !pos.can_castle(ANY_CASTLING))
1991 // Rank moves using DTZ tables
1992 RootInTB = root_probe(pos, rootMoves);
1996 // DTZ tables are missing; try to rank moves using WDL tables
1997 dtz_available = false;
1998 RootInTB = root_probe_wdl(pos, rootMoves);
2004 // Sort moves according to TB rank
2005 std::stable_sort(rootMoves.begin(), rootMoves.end(),
2006 [](const RootMove &a, const RootMove &b) { return a.tbRank > b.tbRank; } );
2008 // Probe during search only if DTZ is not available and we are winning
2009 if (dtz_available || rootMoves[0].tbScore <= VALUE_DRAW)
2014 // Clean up if root_probe() and root_probe_wdl() have failed
2015 for (auto& m : rootMoves)
2020 } // namespace Stockfish