volatile SignalsType Signals;
LimitsType Limits;
std::vector<RootMove> RootMoves;
- Position RootPosition;
+ Position RootPos;
Color RootColor;
Time::point SearchTime;
StateStackPtr SetupStates;
return (Depth) Reductions[PvNode][std::min(int(d) / ONE_PLY, 63)][std::min(mn, 63)];
}
- size_t MultiPV, UCIMultiPV, PVIdx;
+ size_t PVSize, PVIdx;
TimeManager TimeMgr;
int BestMoveChanges;
- bool Chess960;
Value DrawValue[COLOR_NB];
History H;
/// Search::think() is the external interface to Stockfish's search, and is
/// called by the main thread when the program receives the UCI 'go' command. It
-/// searches from RootPosition and at the end prints the "bestmove" to output.
+/// searches from RootPos and at the end prints the "bestmove" to output.
void Search::think() {
static PolyglotBook book; // Defined static to initialize the PRNG only once
- Position& pos = RootPosition;
- Chess960 = pos.is_chess960();
- RootColor = pos.side_to_move();
- TimeMgr.init(Limits, pos.startpos_ply_counter(), pos.side_to_move());
- TT.new_search();
- H.clear();
+ RootColor = RootPos.side_to_move();
+ TimeMgr.init(Limits, RootPos.startpos_ply_counter(), RootColor);
if (RootMoves.empty())
{
+ RootMoves.push_back(MOVE_NONE);
sync_cout << "info depth 0 score "
- << score_to_uci(pos.in_check() ? -VALUE_MATE : VALUE_DRAW) << sync_endl;
+ << score_to_uci(RootPos.in_check() ? -VALUE_MATE : VALUE_DRAW)
+ << sync_endl;
- RootMoves.push_back(MOVE_NONE);
goto finalize;
}
- if (Options["Contempt Factor"] && !Options["UCI_AnalyseMode"])
- {
- int cf = Options["Contempt Factor"] * PawnValueMg / 100; // In centipawns
- cf = cf * MaterialTable::game_phase(pos) / PHASE_MIDGAME; // Scale down with phase
- DrawValue[ RootColor] = VALUE_DRAW - Value(cf);
- DrawValue[~RootColor] = VALUE_DRAW + Value(cf);
- }
- else
- DrawValue[WHITE] = DrawValue[BLACK] = VALUE_DRAW;
-
if (Options["OwnBook"] && !Limits.infinite)
{
- Move bookMove = book.probe(pos, Options["Book File"], Options["Best Book Move"]);
+ Move bookMove = book.probe(RootPos, Options["Book File"], Options["Best Book Move"]);
if (bookMove && std::count(RootMoves.begin(), RootMoves.end(), bookMove))
{
}
}
+ if (Options["Contempt Factor"] && !Options["UCI_AnalyseMode"])
+ {
+ int cf = Options["Contempt Factor"] * PawnValueMg / 100; // From centipawns
+ cf = cf * MaterialTable::game_phase(RootPos) / PHASE_MIDGAME; // Scale down with phase
+ DrawValue[ RootColor] = VALUE_DRAW - Value(cf);
+ DrawValue[~RootColor] = VALUE_DRAW + Value(cf);
+ }
+ else
+ DrawValue[WHITE] = DrawValue[BLACK] = VALUE_DRAW;
+
if (Options["Use Search Log"])
{
Log log(Options["Search Log Filename"]);
- log << "\nSearching: " << pos.to_fen()
+ log << "\nSearching: " << RootPos.to_fen()
<< "\ninfinite: " << Limits.infinite
<< " ponder: " << Limits.ponder
- << " time: " << Limits.time[pos.side_to_move()]
- << " increment: " << Limits.inc[pos.side_to_move()]
+ << " time: " << Limits.time[RootColor]
+ << " increment: " << Limits.inc[RootColor]
<< " moves to go: " << Limits.movestogo
<< std::endl;
}
// Set best timer interval to avoid lagging under time pressure. Timer is
// used to check for remaining available thinking time.
if (Limits.use_time_management())
- Threads.set_timer(std::min(100, std::max(TimeMgr.available_time() / 16, TimerResolution)));
+ Threads.set_timer(std::min(100, std::max(TimeMgr.available_time() / 16,
+ TimerResolution)));
else if (Limits.nodes)
Threads.set_timer(2 * TimerResolution);
else
Threads.set_timer(100);
- // We're ready to start searching. Call the iterative deepening loop function
- id_loop(pos);
+ id_loop(RootPos); // Let's start searching !
Threads.set_timer(0); // Stop timer
Threads.sleep();
Time::point elapsed = Time::now() - SearchTime + 1;
Log log(Options["Search Log Filename"]);
- log << "Nodes: " << pos.nodes_searched()
- << "\nNodes/second: " << pos.nodes_searched() * 1000 / elapsed
- << "\nBest move: " << move_to_san(pos, RootMoves[0].pv[0]);
+ log << "Nodes: " << RootPos.nodes_searched()
+ << "\nNodes/second: " << RootPos.nodes_searched() * 1000 / elapsed
+ << "\nBest move: " << move_to_san(RootPos, RootMoves[0].pv[0]);
StateInfo st;
- pos.do_move(RootMoves[0].pv[0], st);
- log << "\nPonder move: " << move_to_san(pos, RootMoves[0].pv[1]) << std::endl;
- pos.undo_move(RootMoves[0].pv[0]);
+ RootPos.do_move(RootMoves[0].pv[0], st);
+ log << "\nPonder move: " << move_to_san(RootPos, RootMoves[0].pv[1]) << std::endl;
+ RootPos.undo_move(RootMoves[0].pv[0]);
}
finalize:
// but if we are pondering or in infinite search, we shouldn't print the best
// move before we are told to do so.
if (!Signals.stop && (Limits.ponder || Limits.infinite))
- pos.this_thread()->wait_for_stop_or_ponderhit();
+ RootPos.this_thread()->wait_for_stop_or_ponderhit();
// Best move could be MOVE_NONE when searching on a stalemate position
- sync_cout << "bestmove " << move_to_uci(RootMoves[0].pv[0], Chess960)
- << " ponder " << move_to_uci(RootMoves[0].pv[1], Chess960) << sync_endl;
+ sync_cout << "bestmove " << move_to_uci(RootMoves[0].pv[0], RootPos.is_chess960())
+ << " ponder " << move_to_uci(RootMoves[0].pv[1], RootPos.is_chess960())
+ << sync_endl;
}
depth = BestMoveChanges = 0;
bestValue = delta = -VALUE_INFINITE;
ss->currentMove = MOVE_NULL; // Hack to skip update gains
+ TT.new_search();
+ H.clear();
- UCIMultiPV = Options["MultiPV"];
+ PVSize = Options["MultiPV"];
Skill skill(Options["Skill Level"]);
- // Do we have to play with skill handicap? In this case enable MultiPV that
- // we will use behind the scenes to retrieve a set of possible moves.
- MultiPV = skill.enabled() ? std::max(UCIMultiPV, (size_t)4) : UCIMultiPV;
+ // Do we have to play with skill handicap? In this case enable MultiPV search
+ // that we will use behind the scenes to retrieve a set of possible moves.
+ if (skill.enabled() && PVSize < 4)
+ PVSize = 4;
+
+ PVSize = std::min(PVSize, RootMoves.size());
// Iterative deepening loop until requested to stop or target depth reached
while (++depth <= MAX_PLY && !Signals.stop && (!Limits.depth || depth <= Limits.depth))
for (size_t i = 0; i < RootMoves.size(); i++)
RootMoves[i].prevScore = RootMoves[i].score;
- prevBestMoveChanges = BestMoveChanges;
+ prevBestMoveChanges = BestMoveChanges; // Only sensible when PVSize == 1
BestMoveChanges = 0;
// MultiPV loop. We perform a full root search for each PV line
- for (PVIdx = 0; PVIdx < std::min(MultiPV, RootMoves.size()); PVIdx++)
+ for (PVIdx = 0; PVIdx < PVSize; PVIdx++)
{
// Set aspiration window default width
if (depth >= 5 && abs(RootMoves[PVIdx].prevScore) < VALUE_KNOWN_WIN)
bool stop = false; // Local variable, not the volatile Signals.stop
// Take in account some extra time if the best move has changed
- if (depth > 4 && depth < 50)
+ if (depth > 4 && depth < 50 && PVSize == 1)
TimeMgr.pv_instability(BestMoveChanges, prevBestMoveChanges);
// Stop search if most of available time is already consumed. We
// Stop search early if one move seems to be much better than others
if ( depth >= 12
&& !stop
+ && PVSize == 1
&& ( (bestMoveNeverChanged && pos.captured_piece_type())
|| Time::now() - SearchTime > (TimeMgr.available_time() * 40) / 100))
{
if (!RootNode)
{
// Step 2. Check for aborted search and immediate draw
- if (Signals.stop || pos.is_draw<false>() || ss->ply > MAX_PLY)
+ if (Signals.stop || pos.is_draw<true, PvNode>() || ss->ply > MAX_PLY)
return DrawValue[pos.side_to_move()];
// Step 3. Mate distance pruning. Even if we mate at the next move our score
// smooth experience in analysis mode. We don't probe at Root nodes otherwise
// we should also update RootMoveList to avoid bogus output.
if ( !RootNode
- && tte && tte->depth() >= depth
+ && tte
+ && tte->depth() >= depth
+ && ttValue != VALUE_NONE // Only in case of TT access race
&& ( PvNode ? tte->type() == BOUND_EXACT
: ttValue >= beta ? (tte->type() & BOUND_LOWER)
: (tte->type() & BOUND_UPPER)))
{
- assert(ttValue != VALUE_NONE); // Due to depth > DEPTH_NONE
-
TT.refresh(tte);
ss->currentMove = ttMove; // Can be MOVE_NONE
else if (tte)
{
- assert(tte->static_value() != VALUE_NONE);
- assert(ttValue != VALUE_NONE || tte->type() == BOUND_NONE);
+ // Following asserts are valid only in single thread condition because
+ // TT access is always racy and its contents cannot be trusted.
+ assert(tte->static_value() != VALUE_NONE || Threads.size() > 1);
+ assert(ttValue != VALUE_NONE || tte->type() == BOUND_NONE || Threads.size() > 1);
ss->staticEval = eval = tte->static_value();
ss->evalMargin = tte->static_value_margin();
+ if (eval == VALUE_NONE || ss->evalMargin == VALUE_NONE) // Due to a race
+ eval = ss->staticEval = evaluate(pos, ss->evalMargin);
+
// Can ttValue be used as a better position evaluation?
- if ( ((tte->type() & BOUND_LOWER) && ttValue > eval)
- || ((tte->type() & BOUND_UPPER) && ttValue < eval))
- eval = ttValue;
+ if (ttValue != VALUE_NONE)
+ if ( ((tte->type() & BOUND_LOWER) && ttValue > eval)
+ || ((tte->type() & BOUND_UPPER) && ttValue < eval))
+ eval = ttValue;
}
else
{
if (thisThread == Threads.main_thread() && Time::now() - SearchTime > 2000)
sync_cout << "info depth " << depth / ONE_PLY
- << " currmove " << move_to_uci(move, Chess960)
+ << " currmove " << move_to_uci(move, pos.is_chess960())
<< " currmovenumber " << moveCount + PVIdx << sync_endl;
}
// ran out of time. In this case, the return value of the search cannot
// be trusted, and we don't update the best move and/or PV.
if (Signals.stop || thisThread->cutoff_occurred())
- return bestValue;
+ return value; // To avoid returning VALUE_INFINITE
if (RootNode)
{
// We record how often the best move has been changed in each
// iteration. This information is used for time management: When
// the best move changes frequently, we allocate some more time.
- if (!pvMove && MultiPV == 1)
+ if (!pvMove)
BestMoveChanges++;
}
else
ss->ply = (ss-1)->ply + 1;
// Check for an instant draw or maximum ply reached
- if (pos.is_draw<true>() || ss->ply > MAX_PLY)
+ if (pos.is_draw<false, false>() || ss->ply > MAX_PLY)
return DrawValue[pos.side_to_move()];
// Transposition table lookup. At PV nodes, we don't use the TT for
// only two types of depth in TT: DEPTH_QS_CHECKS or DEPTH_QS_NO_CHECKS.
ttDepth = inCheck || depth >= DEPTH_QS_CHECKS ? DEPTH_QS_CHECKS
: DEPTH_QS_NO_CHECKS;
- if ( tte && tte->depth() >= ttDepth
+ if ( tte
+ && tte->depth() >= ttDepth
+ && ttValue != VALUE_NONE // Only in case of TT access race
&& ( PvNode ? tte->type() == BOUND_EXACT
: ttValue >= beta ? (tte->type() & BOUND_LOWER)
: (tte->type() & BOUND_UPPER)))
{
- assert(ttValue != VALUE_NONE); // Due to ttDepth > DEPTH_NONE
-
ss->currentMove = ttMove; // Can be MOVE_NONE
return ttValue;
}
{
if (tte)
{
- assert(tte->static_value() != VALUE_NONE);
+ assert(tte->static_value() != VALUE_NONE || Threads.size() > 1);
ss->staticEval = bestValue = tte->static_value();
ss->evalMargin = tte->static_value_margin();
+
+ if (ss->staticEval == VALUE_NONE || ss->evalMargin == VALUE_NONE) // Due to a race
+ ss->staticEval = bestValue = evaluate(pos, ss->evalMargin);
}
else
ss->staticEval = bestValue = evaluate(pos, ss->evalMargin);
Move Skill::pick_move() {
- assert(MultiPV > 1);
-
static RKISS rk;
// PRNG sequence should be not deterministic
rk.rand<unsigned>();
// RootMoves are already sorted by score in descending order
- size_t size = std::min(MultiPV, RootMoves.size());
- int variance = std::min(RootMoves[0].score - RootMoves[size - 1].score, PawnValueMg);
+ int variance = std::min(RootMoves[0].score - RootMoves[PVSize - 1].score, PawnValueMg);
int weakness = 120 - 2 * level;
int max_s = -VALUE_INFINITE;
best = MOVE_NONE;
// Choose best move. For each move score we add two terms both dependent on
// weakness, one deterministic and bigger for weaker moves, and one random,
// then we choose the move with the resulting highest score.
- for (size_t i = 0; i < size; i++)
+ for (size_t i = 0; i < PVSize; i++)
{
int s = RootMoves[i].score;
if (Threads[i].maxPly > selDepth)
selDepth = Threads[i].maxPly;
- for (size_t i = 0; i < std::min(UCIMultiPV, RootMoves.size()); i++)
+ for (size_t i = 0; i < std::min((size_t)Options["MultiPV"], RootMoves.size()); i++)
{
bool updated = (i <= PVIdx);
<< " pv";
for (size_t j = 0; RootMoves[i].pv[j] != MOVE_NONE; j++)
- s << " " << move_to_uci(RootMoves[i].pv[j], Chess960);
+ s << " " << move_to_uci(RootMoves[i].pv[j], pos.is_chess960());
}
return s.str();
&& pos.is_pseudo_legal(m)
&& pos.pl_move_is_legal(m, pos.pinned_pieces())
&& ply < MAX_PLY
- && (!pos.is_draw<false>() || ply < 2))
+ && (!pos.is_draw<true, true>() || ply < 2))
{
pv.push_back(m);
pos.do_move(m, *st++);
{
Threads.mutex.lock();
- nodes = RootPosition.nodes_searched();
+ nodes = RootPos.nodes_searched();
// Loop across all split points and sum accumulated SplitPoint nodes plus
// all the currently active slaves positions.
projects / stockfish / blobdiff