#include <cassert>
#include <cmath>
#include <cstring>
-#include <fstream>
#include <iomanip>
#include <iostream>
#include <sstream>
#include <vector>
+#include <algorithm>
#include "book.h"
#include "evaluate.h"
inline Value futility_margin(Depth d, int mn) {
- return d < 7 * ONE_PLY ? FutilityMargins[Max(d, 1)][Min(mn, 63)]
+ return d < 7 * ONE_PLY ? FutilityMargins[std::max(int(d), 1)][std::min(mn, 63)]
: 2 * VALUE_INFINITE;
}
template <bool PvNode> inline Depth reduction(Depth d, int mn) {
- return (Depth) Reductions[PvNode][Min(d / ONE_PLY, 63)][Min(mn, 63)];
+ return (Depth) Reductions[PvNode][std::min(int(d) / ONE_PLY, 63)][std::min(mn, 63)];
}
// Easy move margin. An easy move candidate must be at least this much
RootMoveList Rml;
// MultiPV mode
- int MultiPV, UCIMultiPV, MultiPVIteration;
+ int MultiPV, UCIMultiPV, MultiPVIdx;
// Time management variables
bool StopOnPonderhit, FirstRootMove, StopRequest, QuitRequest, AspirationFailLow;
TimeManager TimeMgr;
SearchLimits Limits;
- // Log file
- std::ofstream LogFile;
-
// Skill level adjustment
int SkillLevel;
bool SkillLevelEnabled;
- // Node counters, used only by thread[0] but try to keep in different cache
- // lines (64 bytes each) from the heavy multi-thread read accessed variables.
- int NodesSincePoll;
- int NodesBetweenPolls = 30000;
-
// History table
History H;
bool connected_threat(const Position& pos, Move m, Move threat);
Value refine_eval(const TTEntry* tte, Value defaultEval, int ply);
void update_history(const Position& pos, Move move, Depth depth, Move movesSearched[], int moveCount);
- void update_gains(const Position& pos, Move move, Value before, Value after);
void do_skill_level(Move* best, Move* ponder);
- int current_search_time(int set = 0);
+ int elapsed_search_time(int set = 0);
string score_to_uci(Value v, Value alpha = -VALUE_INFINITE, Value beta = VALUE_INFINITE);
string speed_to_uci(int64_t nodes);
string pv_to_uci(const Move pv[], int pvNum, bool chess960);
string pretty_pv(Position& pos, int depth, Value score, int time, Move pv[]);
string depth_to_uci(Depth depth);
- void poll(const Position& pos);
void wait_for_stop_or_ponderhit();
// MovePickerExt template class extends MovePicker and allows to choose at compile
if ( captureOrPromotion
&& type_of(pos.piece_on(move_to(m))) != PAWN
&& ( pos.non_pawn_material(WHITE) + pos.non_pawn_material(BLACK)
- - piece_value_midgame(pos.piece_on(move_to(m))) == VALUE_ZERO)
+ - PieceValueMidgame[pos.piece_on(move_to(m))] == VALUE_ZERO)
&& !is_special(m))
{
result += PawnEndgameExtension[PvNode];
*dangerous = true;
}
- return Min(result, ONE_PLY);
+ return std::min(result, ONE_PLY);
}
} // namespace
bool think(Position& pos, const SearchLimits& limits, Move searchMoves[]) {
- static Book book; // Define static to initialize the PRNG only once
+ static Book book; // Defined static to initialize the PRNG only once
+
+ // Save "search start" time and reset elapsed time to zero
+ elapsed_search_time(get_system_time());
// Initialize global search-related variables
StopOnPonderhit = StopRequest = QuitRequest = AspirationFailLow = false;
- NodesSincePoll = 0;
- current_search_time(get_system_time());
Limits = limits;
- TimeMgr.init(Limits, pos.startpos_ply_counter());
- // Set output steram in normal or chess960 mode
+ // Set output stream mode: normal or chess960. Castling notation is different
cout << set960(pos.is_chess960());
- // Set best NodesBetweenPolls interval to avoid lagging under time pressure
- if (Limits.maxNodes)
- NodesBetweenPolls = Min(Limits.maxNodes, 30000);
- else if (Limits.time && Limits.time < 1000)
- NodesBetweenPolls = 1000;
- else if (Limits.time && Limits.time < 5000)
- NodesBetweenPolls = 5000;
- else
- NodesBetweenPolls = 30000;
-
// Look for a book move
if (Options["OwnBook"].value<bool>())
{
}
}
- // Read UCI options
- UCIMultiPV = Options["MultiPV"].value<int>();
- SkillLevel = Options["Skill Level"].value<int>();
-
+ // Read UCI options: GUI could change UCI parameters during the game
read_evaluation_uci_options(pos.side_to_move());
Threads.read_uci_options();
TT.clear();
}
+ UCIMultiPV = Options["MultiPV"].value<int>();
+ SkillLevel = Options["Skill Level"].value<int>();
+
// 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.
SkillLevelEnabled = (SkillLevel < 20);
- MultiPV = (SkillLevelEnabled ? Max(UCIMultiPV, 4) : UCIMultiPV);
+ MultiPV = (SkillLevelEnabled ? std::max(UCIMultiPV, 4) : UCIMultiPV);
+
+ // Write current search header to log file
+ if (Options["Use Search Log"].value<bool>())
+ {
+ Log log(Options["Search Log Filename"].value<string>());
+ log << "\nSearching: " << pos.to_fen()
+ << "\ninfinite: " << Limits.infinite
+ << " ponder: " << Limits.ponder
+ << " time: " << Limits.time
+ << " increment: " << Limits.increment
+ << " moves to go: " << Limits.movesToGo
+ << endl;
+ }
// Wake up needed threads and reset maxPly counter
for (int i = 0; i < Threads.size(); i++)
{
- Threads[i].wake_up();
Threads[i].maxPly = 0;
+ Threads[i].wake_up();
}
- // Write to log file and keep it open to be accessed during the search
- if (Options["Use Search Log"].value<bool>())
- {
- string name = Options["Search Log Filename"].value<string>();
- LogFile.open(name.c_str(), std::ios::out | std::ios::app);
-
- if (LogFile.is_open())
- LogFile << "\nSearching: " << pos.to_fen()
- << "\ninfinite: " << Limits.infinite
- << " ponder: " << Limits.ponder
- << " time: " << Limits.time
- << " increment: " << Limits.increment
- << " moves to go: " << Limits.movesToGo
- << endl;
- }
+ // Set best timer interval to avoid lagging under time pressure. Timer is
+ // used to check for remaining available thinking time.
+ TimeMgr.init(Limits, pos.startpos_ply_counter());
+
+ if (TimeMgr.available_time())
+ Threads.set_timer(std::min(100, std::max(TimeMgr.available_time() / 8, 20)));
+ else
+ Threads.set_timer(100);
+
+ // Start async mode to catch UCI commands sent to us while searching,
+ // like "quit", "stop", etc.
+ Threads.start_listener();
// We're ready to start thinking. Call the iterative deepening loop function
Move ponderMove = MOVE_NONE;
Move bestMove = id_loop(pos, searchMoves, &ponderMove);
- // Write final search statistics and close log file
- if (LogFile.is_open())
+ // From now on any UCI command will be read in-sync with Threads.getline()
+ Threads.stop_listener();
+
+ // Stop timer, no need to check for available time any more
+ Threads.set_timer(0);
+
+ // This makes all the slave threads to go to sleep, if not already sleeping
+ Threads.set_size(1);
+
+ // Write current search final statistics to log file
+ if (Options["Use Search Log"].value<bool>())
{
- int t = current_search_time();
+ int e = elapsed_search_time();
- LogFile << "Nodes: " << pos.nodes_searched()
- << "\nNodes/second: " << (t > 0 ? pos.nodes_searched() * 1000 / t : 0)
- << "\nBest move: " << move_to_san(pos, bestMove);
+ Log log(Options["Search Log Filename"].value<string>());
+ log << "Nodes: " << pos.nodes_searched()
+ << "\nNodes/second: " << (e > 0 ? pos.nodes_searched() * 1000 / e : 0)
+ << "\nBest move: " << move_to_san(pos, bestMove);
StateInfo st;
pos.do_move(bestMove, st);
- LogFile << "\nPonder move: " << move_to_san(pos, ponderMove) << endl;
+ log << "\nPonder move: " << move_to_san(pos, ponderMove) << endl;
pos.undo_move(bestMove); // Return from think() with unchanged position
- LogFile.close();
}
- // This makes all the threads to go to sleep
- Threads.set_size(1);
-
- // If we are pondering or in infinite search, we shouldn't print the
- // best move before we are told to do so.
- if (!StopRequest && (Limits.ponder || Limits.infinite))
+ // If we are pondering or in infinite search, we shouldn't print the best move
+ // before we are told to do so.
+ if (Limits.ponder || Limits.infinite)
wait_for_stop_or_ponderhit();
// Could be MOVE_NONE when searching on a stalemate position
Value bestValues[PLY_MAX_PLUS_2];
int bestMoveChanges[PLY_MAX_PLUS_2];
int depth, aspirationDelta;
- Value value, alpha, beta;
+ Value bestValue, alpha, beta;
Move bestMove, easyMove, skillBest, skillPonder;
// Initialize stuff before a new search
H.clear();
*ponderMove = bestMove = easyMove = skillBest = skillPonder = MOVE_NONE;
depth = aspirationDelta = 0;
- value = alpha = -VALUE_INFINITE, beta = VALUE_INFINITE;
- ss->currentMove = MOVE_NULL; // Hack to skip update_gains()
+ bestValue = alpha = -VALUE_INFINITE, beta = VALUE_INFINITE;
+ ss->currentMove = MOVE_NULL; // Hack to skip update gains
// Moves to search are verified and copied
Rml.init(pos, searchMoves);
// Iterative deepening loop until requested to stop or target depth reached
while (!StopRequest && ++depth <= PLY_MAX && (!Limits.maxDepth || depth <= Limits.maxDepth))
{
- // Save last iteration's scores, this needs to be done now, because in
- // the following MultiPV loop Rml moves could be reordered.
+ // Save now last iteration's scores, before Rml moves are reordered
for (size_t i = 0; i < Rml.size(); i++)
Rml[i].prevScore = Rml[i].score;
Rml.bestMoveChanges = 0;
- // MultiPV iteration loop
- for (MultiPVIteration = 0; MultiPVIteration < Min(MultiPV, (int)Rml.size()); MultiPVIteration++)
+ // MultiPV loop. We perform a full root search for each PV line
+ for (MultiPVIdx = 0; MultiPVIdx < std::min(MultiPV, (int)Rml.size()); MultiPVIdx++)
{
// Calculate dynamic aspiration window based on previous iterations
- if (depth >= 5 && abs(Rml[MultiPVIteration].prevScore) < VALUE_KNOWN_WIN)
+ if (depth >= 5 && abs(Rml[MultiPVIdx].prevScore) < VALUE_KNOWN_WIN)
{
int prevDelta1 = bestValues[depth - 1] - bestValues[depth - 2];
int prevDelta2 = bestValues[depth - 2] - bestValues[depth - 3];
- aspirationDelta = Min(Max(abs(prevDelta1) + abs(prevDelta2) / 2, 16), 24);
+ aspirationDelta = std::min(std::max(abs(prevDelta1) + abs(prevDelta2) / 2, 16), 24);
aspirationDelta = (aspirationDelta + 7) / 8 * 8; // Round to match grainSize
- alpha = Max(Rml[MultiPVIteration].prevScore - aspirationDelta, -VALUE_INFINITE);
- beta = Min(Rml[MultiPVIteration].prevScore + aspirationDelta, VALUE_INFINITE);
+ alpha = std::max(Rml[MultiPVIdx].prevScore - aspirationDelta, -VALUE_INFINITE);
+ beta = std::min(Rml[MultiPVIdx].prevScore + aspirationDelta, VALUE_INFINITE);
}
else
{
// Start with a small aspiration window and, in case of fail high/low,
// research with bigger window until not failing high/low anymore.
do {
- // Search starting from ss+1 to allow referencing (ss-1). This is
- // needed by update_gains() and ss copy when splitting at Root.
- value = search<Root>(pos, ss+1, alpha, beta, depth * ONE_PLY);
-
- // It is critical that sorting is done with a stable algorithm
- // because all the values but the first are usually set to
- // -VALUE_INFINITE and we want to keep the same order for all
- // the moves but the new PV that goes to head.
- sort<RootMove>(Rml.begin() + MultiPVIteration, Rml.end());
-
- // In case we have found an exact score reorder the PV moves
- // before leaving the fail high/low loop, otherwise leave the
- // last PV move in its position so to be searched again.
- if (value > alpha && value < beta)
- sort<RootMove>(Rml.begin(), Rml.begin() + MultiPVIteration);
+ // Search starts from ss+1 to allow referencing (ss-1). This is
+ // needed by update gains and ss copy when splitting at Root.
+ bestValue = search<Root>(pos, ss+1, alpha, beta, depth * ONE_PLY);
+
+ // Bring to front the best move. It is critical that sorting is
+ // done with a stable algorithm because all the values but the first
+ // and eventually the new best one are set to -VALUE_INFINITE and
+ // we want to keep the same order for all the moves but the new
+ // PV that goes to the front. Note that in case of MultiPV search
+ // the already searched PV lines are preserved.
+ sort<RootMove>(Rml.begin() + MultiPVIdx, Rml.end());
+
+ // In case we have found an exact score and we are going to leave
+ // the fail high/low loop then reorder the PV moves, otherwise
+ // leave the last PV move in its position so to be searched again.
+ // Of course this is needed only in MultiPV search.
+ if (MultiPVIdx && bestValue > alpha && bestValue < beta)
+ sort<RootMove>(Rml.begin(), Rml.begin() + MultiPVIdx);
// Write PV back to transposition table in case the relevant entries
// have been overwritten during the search.
- for (int i = 0; i <= MultiPVIteration; i++)
+ for (int i = 0; i <= MultiPVIdx; i++)
Rml[i].insert_pv_in_tt(pos);
- // Value cannot be trusted. Break out immediately!
+ // If search has been stopped exit the aspiration window loop,
+ // note that sorting and writing PV back to TT is safe becuase
+ // Rml is still valid, although refers to the previous iteration.
if (StopRequest)
break;
// Send full PV info to GUI if we are going to leave the loop or
- // if we have a fail high/low and we are deep in the search. Note
- // that UCI protol requires to send all the PV lines also if are
- // still to be searched and so refer to the previous search's score.
- if ((value > alpha && value < beta) || current_search_time() > 5000)
- for (int i = 0; i < Min(UCIMultiPV, (int)Rml.size()); i++)
+ // if we have a fail high/low and we are deep in the search. UCI
+ // protocol requires to send all the PV lines also if are still
+ // to be searched and so refer to the previous search's score.
+ if ((bestValue > alpha && bestValue < beta) || elapsed_search_time() > 2000)
+ for (int i = 0; i < std::min(UCIMultiPV, (int)Rml.size()); i++)
{
- bool updated = (i <= MultiPVIteration);
+ bool updated = (i <= MultiPVIdx);
if (depth == 1 && !updated)
continue;
cout << "info"
<< depth_to_uci(d)
- << (i == MultiPVIteration ? score_to_uci(s, alpha, beta) : score_to_uci(s))
+ << (i == MultiPVIdx ? score_to_uci(s, alpha, beta) : score_to_uci(s))
<< speed_to_uci(pos.nodes_searched())
<< pv_to_uci(&Rml[i].pv[0], i + 1, pos.is_chess960())
<< endl;
}
- // In case of failing high/low increase aspiration window and research,
- // otherwise exit the fail high/low loop.
- if (value >= beta)
+ // In case of failing high/low increase aspiration window and
+ // research, otherwise exit the fail high/low loop.
+ if (bestValue >= beta)
{
- beta = Min(beta + aspirationDelta, VALUE_INFINITE);
+ beta = std::min(beta + aspirationDelta, VALUE_INFINITE);
aspirationDelta += aspirationDelta / 2;
}
- else if (value <= alpha)
+ else if (bestValue <= alpha)
{
AspirationFailLow = true;
StopOnPonderhit = false;
- alpha = Max(alpha - aspirationDelta, -VALUE_INFINITE);
+ alpha = std::max(alpha - aspirationDelta, -VALUE_INFINITE);
aspirationDelta += aspirationDelta / 2;
}
else
break;
- } while (abs(value) < VALUE_KNOWN_WIN);
+ } while (abs(bestValue) < VALUE_KNOWN_WIN);
}
// Collect info about search result
bestMove = Rml[0].pv[0];
*ponderMove = Rml[0].pv[1];
- bestValues[depth] = value;
+ bestValues[depth] = bestValue;
bestMoveChanges[depth] = Rml.bestMoveChanges;
- // Do we need to pick now the best and the ponder moves ?
+ // Skills: Do we need to pick now the best and the ponder moves ?
if (SkillLevelEnabled && depth == 1 + SkillLevel)
do_skill_level(&skillBest, &skillPonder);
- if (LogFile.is_open())
- LogFile << pretty_pv(pos, depth, value, current_search_time(), &Rml[0].pv[0]) << endl;
+ if (Options["Use Search Log"].value<bool>())
+ {
+ Log log(Options["Search Log Filename"].value<string>());
+ log << pretty_pv(pos, depth, bestValue, elapsed_search_time(), &Rml[0].pv[0]) << endl;
+ }
- // Init easyMove after first iteration or drop if differs from the best move
+ // Init easyMove at first iteration or drop it if differs from the best move
if (depth == 1 && (Rml.size() == 1 || Rml[0].score > Rml[1].score + EasyMoveMargin))
easyMove = bestMove;
else if (bestMove != easyMove)
// Check for some early stop condition
if (!StopRequest && Limits.useTimeManagement())
{
- // Stop search early if one move seems to be much better than the
- // others or if there is only a single legal move. Also in the latter
- // case we search up to some depth anyway to get a proper score.
+ // Easy move: Stop search early if one move seems to be much better
+ // than the others or if there is only a single legal move. Also in
+ // the latter case search to some depth anyway to get a proper score.
if ( depth >= 7
&& easyMove == bestMove
&& ( Rml.size() == 1
||( Rml[0].nodes > (pos.nodes_searched() * 85) / 100
- && current_search_time() > TimeMgr.available_time() / 16)
+ && elapsed_search_time() > TimeMgr.available_time() / 16)
||( Rml[0].nodes > (pos.nodes_searched() * 98) / 100
- && current_search_time() > TimeMgr.available_time() / 32)))
+ && elapsed_search_time() > TimeMgr.available_time() / 32)))
StopRequest = true;
// Take in account some extra time if the best move has changed
// Stop search if most of available time is already consumed. We probably don't
// have enough time to search the first move at the next iteration anyway.
- if (current_search_time() > (TimeMgr.available_time() * 62) / 100)
+ if (elapsed_search_time() > (TimeMgr.available_time() * 62) / 100)
StopRequest = true;
// If we are allowed to ponder do not stop the search now but keep pondering
if (PvNode && thread.maxPly < ss->ply)
thread.maxPly = ss->ply;
- // Step 1. Initialize node and poll. Polling can abort search
+ // Step 1. Initialize node
if (!SpNode)
{
ss->currentMove = ss->bestMove = threatMove = (ss+1)->excludedMove = MOVE_NONE;
goto split_point_start;
}
- if (pos.thread() == 0 && ++NodesSincePoll > NodesBetweenPolls)
- {
- NodesSincePoll = 0;
- poll(pos);
- }
-
// Step 2. Check for aborted search and immediate draw
if (( StopRequest
|| pos.is_draw<false>()
// Step 3. Mate distance pruning
if (!RootNode)
{
- alpha = Max(value_mated_in(ss->ply), alpha);
- beta = Min(value_mate_in(ss->ply+1), beta);
+ alpha = std::max(value_mated_in(ss->ply), alpha);
+ beta = std::min(value_mate_in(ss->ply+1), beta);
if (alpha >= beta)
return alpha;
}
excludedMove = ss->excludedMove;
posKey = excludedMove ? pos.get_exclusion_key() : pos.get_key();
tte = TT.probe(posKey);
- ttMove = RootNode ? Rml[MultiPVIteration].pv[0] : tte ? tte->move() : MOVE_NONE;
+ ttMove = RootNode ? Rml[MultiPVIdx].pv[0] : tte ? tte->move() : MOVE_NONE;
// At PV nodes we check for exact scores, while at non-PV nodes we check for
// a fail high/low. Biggest advantage at probing at PV nodes is to have a
TT.store(posKey, VALUE_NONE, VALUE_TYPE_NONE, DEPTH_NONE, MOVE_NONE, ss->eval, ss->evalMargin);
}
- // Save gain for the parent non-capture move
- update_gains(pos, (ss-1)->currentMove, (ss-1)->eval, ss->eval);
+ // Update gain for the parent non-capture move given the static position
+ // evaluation before and after the move.
+ if ( (move = (ss-1)->currentMove) != MOVE_NULL
+ && (ss-1)->eval != VALUE_NONE
+ && ss->eval != VALUE_NONE
+ && pos.captured_piece_type() == PIECE_TYPE_NONE
+ && !is_special(move))
+ {
+ Square to = move_to(move);
+ H.update_gain(pos.piece_on(to), to, -(ss-1)->eval - ss->eval);
+ }
// Step 6. Razoring (is omitted in PV nodes)
if ( !PvNode
if (refinedValue - PawnValueMidgame > beta)
R++;
- pos.do_null_move(st);
+ pos.do_null_move<true>(st);
(ss+1)->skipNullMove = true;
nullValue = depth-R*ONE_PLY < ONE_PLY ? -qsearch<NonPV>(pos, ss+1, -beta, -alpha, DEPTH_ZERO)
: - search<NonPV>(pos, ss+1, -beta, -alpha, depth-R*ONE_PLY);
(ss+1)->skipNullMove = false;
- pos.undo_null_move();
+ pos.do_null_move<false>(st);
if (nullValue >= beta)
{
if (move == excludedMove)
continue;
- // At root obey the "searchmoves" option and skip moves not listed in Root Move List.
- // Also in MultiPV mode we skip moves which already have got an exact score
- // in previous MultiPV Iteration. Finally any illegal move is skipped here.
- if (RootNode && !Rml.find(move, MultiPVIteration))
+ // At root obey the "searchmoves" option and skip moves not listed in Root
+ // Move List, as a consequence any illegal move is also skipped. In MultiPV
+ // mode we also skip PV moves which have been already searched.
+ if (RootNode && !Rml.find(move, MultiPVIdx))
continue;
// At PV and SpNode nodes we want all moves to be legal since the beginning
nodes = pos.nodes_searched();
// For long searches send current move info to GUI
- if (pos.thread() == 0 && current_search_time() > 2000)
+ if (pos.thread() == 0 && elapsed_search_time() > 2000)
cout << "info" << depth_to_uci(depth)
<< " currmove " << move
- << " currmovenumber " << moveCount + MultiPVIteration << endl;
+ << " currmovenumber " << moveCount + MultiPVIdx << endl;
}
// At Root and at first iteration do a PV search on all the moves to score root moves
}
// Step 20. Check for mate and stalemate
- // All legal moves have been searched and if there are
- // no legal moves, it must be mate or stalemate.
- // If one move was excluded return fail low score.
+ // All legal moves have been searched and if there are no legal moves, it
+ // must be mate or stalemate. Note that we can have a false positive in
+ // case of StopRequest or thread.cutoff_occurred() are set, but this is
+ // harmless because return value is discarded anyhow in the parent nodes.
+ // If we are in a singular extension search then return a fail low score.
if (!SpNode && !moveCount)
return excludedMove ? oldAlpha : inCheck ? value_mated_in(ss->ply) : VALUE_DRAW;
&& !pos.is_passed_pawn_push(move))
{
futilityValue = futilityBase
- + piece_value_endgame(pos.piece_on(move_to(move)))
+ + PieceValueEndgame[pos.piece_on(move_to(move))]
+ (is_enpassant(move) ? PawnValueEndgame : VALUE_ZERO);
if (futilityValue < beta)
while (b)
{
victimSq = pop_1st_bit(&b);
- futilityValue = futilityBase + piece_value_endgame(pos.piece_on(victimSq));
+ futilityValue = futilityBase + PieceValueEndgame[pos.piece_on(victimSq)];
// Note that here we generate illegal "double move"!
if ( futilityValue >= beta
// Case 2: If the threatened piece has value less than or equal to the
// value of the threatening piece, don't prune moves which defend it.
if ( pos.is_capture(threat)
- && ( piece_value_midgame(pos.piece_on(tfrom)) >= piece_value_midgame(pos.piece_on(tto))
+ && ( PieceValueMidgame[pos.piece_on(tfrom)] >= PieceValueMidgame[pos.piece_on(tto)]
|| type_of(pos.piece_on(tfrom)) == KING)
&& pos.move_attacks_square(m, tto))
return true;
Value v = value_from_tt(tte->value(), ply);
return ( tte->depth() >= depth
- || v >= Max(VALUE_MATE_IN_PLY_MAX, beta)
- || v < Min(VALUE_MATED_IN_PLY_MAX, beta))
+ || v >= std::max(VALUE_MATE_IN_PLY_MAX, beta)
+ || v < std::min(VALUE_MATED_IN_PLY_MAX, beta))
&& ( ((tte->type() & VALUE_TYPE_LOWER) && v >= beta)
|| ((tte->type() & VALUE_TYPE_UPPER) && v < beta));
}
- // update_gains() updates the gains table of a non-capture move given
- // the static position evaluation before and after the move.
-
- void update_gains(const Position& pos, Move m, Value before, Value after) {
-
- if ( m != MOVE_NULL
- && before != VALUE_NONE
- && after != VALUE_NONE
- && pos.captured_piece_type() == PIECE_TYPE_NONE
- && !is_special(m))
- H.update_gain(pos.piece_on(move_to(m)), move_to(m), -(before + after));
- }
-
-
// current_search_time() returns the number of milliseconds which have passed
// since the beginning of the current search.
- int current_search_time(int set) {
+ int elapsed_search_time(int set) {
static int searchStartTime;
string speed_to_uci(int64_t nodes) {
std::stringstream s;
- int t = current_search_time();
+ int t = elapsed_search_time();
s << " nodes " << nodes
<< " nps " << (t > 0 ? int(nodes * 1000 / t) : 0)
return s.str();
}
+
// pv_to_uci() returns a string with information on the current PV line
// formatted according to UCI specification.
return s.str();
}
+
// depth_to_uci() returns a string with information on the current depth and
// seldepth formatted according to UCI specification.
return s.str();
}
+
// pretty_pv() creates a human-readable string from a position and a PV.
// It is used to write search information to the log file (which is created
// when the UCI parameter "Use Search Log" is "true").
return s.str();
}
- // poll() performs two different functions: It polls for user input, and it
- // looks at the time consumed so far and decides if it's time to abort the
- // search.
-
- void poll(const Position& pos) {
-
- static int lastInfoTime;
- int t = current_search_time();
-
- // Poll for input
- if (input_available())
- {
- // We are line oriented, don't read single chars
- string command;
-
- if (!std::getline(std::cin, command) || command == "quit")
- {
- // Quit the program as soon as possible
- Limits.ponder = false;
- QuitRequest = StopRequest = true;
- return;
- }
- else if (command == "stop")
- {
- // Stop calculating as soon as possible, but still send the "bestmove"
- // and possibly the "ponder" token when finishing the search.
- Limits.ponder = false;
- StopRequest = true;
- }
- else if (command == "ponderhit")
- {
- // The opponent has played the expected move. GUI sends "ponderhit" if
- // we were told to ponder on the same move the opponent has played. We
- // should continue searching but switching from pondering to normal search.
- Limits.ponder = false;
-
- if (StopOnPonderhit)
- StopRequest = true;
- }
- }
-
- // Print search information
- if (t < 1000)
- lastInfoTime = 0;
-
- else if (lastInfoTime > t)
- // HACK: Must be a new search where we searched less than
- // NodesBetweenPolls nodes during the first second of search.
- lastInfoTime = 0;
-
- else if (t - lastInfoTime >= 1000)
- {
- lastInfoTime = t;
-
- dbg_print_mean();
- dbg_print_hit_rate();
- }
-
- // Should we stop the search?
- if (Limits.ponder)
- return;
-
- bool stillAtFirstMove = FirstRootMove
- && !AspirationFailLow
- && t > TimeMgr.available_time();
-
- bool noMoreTime = t > TimeMgr.maximum_time()
- || stillAtFirstMove;
-
- if ( (Limits.useTimeManagement() && noMoreTime)
- || (Limits.maxTime && t >= Limits.maxTime)
- || (Limits.maxNodes && pos.nodes_searched() >= Limits.maxNodes)) // FIXME
- StopRequest = true;
- }
-
// wait_for_stop_or_ponderhit() is called when the maximum depth is reached
// while the program is pondering. The point is to work around a wrinkle in
// the UCI protocol: When pondering, the engine is not allowed to give a
// "bestmove" before the GUI sends it a "stop" or "ponderhit" command.
- // We simply wait here until one of these commands is sent, and return,
- // after which the bestmove and pondermove will be printed.
+ // We simply wait here until one of these commands (that raise StopRequest) is
+ // sent, and return, after which the bestmove and pondermove will be printed.
void wait_for_stop_or_ponderhit() {
- string command;
+ string cmd;
+ StopOnPonderhit = true;
- // Wait for a command from stdin
- while ( std::getline(std::cin, command)
- && command != "ponderhit" && command != "stop" && command != "quit") {};
-
- if (command != "ponderhit" && command != "stop")
- QuitRequest = true; // Must be "quit" or getline() returned false
+ while (!StopRequest)
+ {
+ Threads.getline(cmd);
+ do_uci_async_cmd(cmd);
+ }
}
// When playing with strength handicap choose best move among the MultiPV set
// using a statistical rule dependent on SkillLevel. Idea by Heinz van Saanen.
+
void do_skill_level(Move* best, Move* ponder) {
assert(MultiPV > 1);
// Rml list is already sorted by score in descending order
int s;
int max_s = -VALUE_INFINITE;
- int size = Min(MultiPV, (int)Rml.size());
+ int size = std::min(MultiPV, (int)Rml.size());
int max = Rml[0].score;
- int var = Min(max - Rml[size - 1].score, PawnValueMidgame);
+ int var = std::min(max - Rml[size - 1].score, int(PawnValueMidgame));
int wk = 120 - 2 * SkillLevel;
// PRNG sequence should be non deterministic
return NULL;
}
+
// extract_pv_from_tt() builds a PV by adding moves from the transposition table.
// We consider also failing high nodes and not only VALUE_TYPE_EXACT nodes. This
// allow to always have a ponder move even when we fail high at root and also a
do pos.undo_move(pv[--ply]); while (ply);
}
+
// insert_pv_in_tt() is called at the end of a search iteration, and inserts
// the PV back into the TT. This makes sure the old PV moves are searched
// first, even if the old TT entries have been overwritten.
do pos.undo_move(pv[--ply]); while (ply);
}
-} // namespace
-
-
-// Little helper used by idle_loop() to check that all the slave threads of a
-// split point have finished searching.
-
-static bool all_slaves_finished(SplitPoint* sp) {
- for (int i = 0; i < Threads.size(); i++)
- if (sp->is_slave[i])
- return false;
-
- return true;
-}
+} // namespace
// Thread::idle_loop() is where the thread is parked when it has no work to do.
lock_grab(&sleepLock);
// If we are master and all slaves have finished don't go to sleep
- if (sp && all_slaves_finished(sp))
+ if (sp && Threads.split_point_finished(sp))
{
lock_release(&sleepLock);
break;
// If this thread is the master of a split point and all slaves have
// finished their work at this split point, return from the idle loop.
- if (sp && all_slaves_finished(sp))
+ if (sp && Threads.split_point_finished(sp))
{
// Because sp->is_slave[] is reset under lock protection,
// be sure sp->lock has been released before to return.
}
}
}
+
+
+// do_uci_async_cmd() is called by listener thread when in async mode and 'cmd'
+// input line is received from the GUI.
+
+void do_uci_async_cmd(const std::string& cmd) {
+
+ if (cmd == "quit")
+ QuitRequest = StopRequest = true;
+
+ else if (cmd == "stop")
+ StopRequest = true;
+
+ else if (cmd == "ponderhit")
+ {
+ // The opponent has played the expected move. GUI sends "ponderhit" if
+ // we were told to ponder on the same move the opponent has played. We
+ // should continue searching but switching from pondering to normal search.
+ Limits.ponder = false;
+
+ if (StopOnPonderhit)
+ StopRequest = true;
+ }
+}
+
+
+// do_timer_event() is called by the timer thread when the timer triggers
+
+void do_timer_event() {
+
+ static int lastInfoTime;
+ int e = elapsed_search_time();
+
+ // Print debug information every second
+ if (get_system_time() - lastInfoTime >= 1000)
+ {
+ lastInfoTime = get_system_time();
+
+ dbg_print_mean();
+ dbg_print_hit_rate();
+ }
+
+ // Should we stop the search?
+ if (Limits.ponder)
+ return;
+
+ bool stillAtFirstMove = FirstRootMove
+ && !AspirationFailLow
+ && e > TimeMgr.available_time();
+
+ bool noMoreTime = e > TimeMgr.maximum_time()
+ || stillAtFirstMove;
+
+ if ( (Limits.useTimeManagement() && noMoreTime)
+ || (Limits.maxTime && e >= Limits.maxTime)
+ /* missing nodes limit */ ) // FIXME
+ StopRequest = true;
+}
projects / stockfish / blobdiff