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https://github.com/sockspls/badfish
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Move globals to id_loop()
No functional change. Signed-off-by: Marco Costalba <mcostalba@gmail.com>
This commit is contained in:
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commit
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2 changed files with 55 additions and 58 deletions
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@ -195,7 +195,7 @@ const string pretty_pv(Position& pos, int time, int depth,
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size_t length = 0;
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// First print depth, score, time and searched nodes...
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s << std::setw(2) << depth
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s << std::setw(2) << depth / 2
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<< (type == VALUE_TYPE_LOWER ? " >" : type == VALUE_TYPE_UPPER ? " <" : " ")
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<< std::setw(7) << score_string(score)
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<< std::setw(8) << time_string(time);
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111
src/search.cpp
111
src/search.cpp
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@ -129,7 +129,7 @@ namespace {
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void extract_pv_from_tt(Position& pos);
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void insert_pv_in_tt(Position& pos);
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std::string pv_info_to_uci(Position& pos, Value alpha, Value beta, int pvLine = 0);
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std::string pv_info_to_uci(Position& pos, Depth depth, Value alpha, Value beta, int pvLine = 0);
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int64_t nodes;
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Value pv_score;
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@ -150,6 +150,8 @@ namespace {
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void sort() { insertion_sort<RootMove, Base::iterator>(begin(), end()); }
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void sort_multipv(int n) { insertion_sort<RootMove, Base::iterator>(begin(), begin() + n); }
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int bestMoveChanges;
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};
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@ -251,16 +253,6 @@ namespace {
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// Pointer to root move list
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RootMoveList* Rml;
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// Iteration counter
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int Iteration;
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// Scores and number of times the best move changed for each iteration
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Value ValueByIteration[PLY_MAX_PLUS_2];
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int BestMoveChangesByIteration[PLY_MAX_PLUS_2];
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// Search window management
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int AspirationDelta;
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// MultiPV mode
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int MultiPV;
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@ -602,11 +594,17 @@ namespace {
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Move id_loop(Position& pos, Move searchMoves[], Move* ponderMove) {
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SearchStack ss[PLY_MAX_PLUS_2];
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Depth depth;
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Move EasyMove = MOVE_NONE;
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Value value, alpha = -VALUE_INFINITE, beta = VALUE_INFINITE;
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int researchCountFL, researchCountFH;
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int iteration;
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int bestMoveChanges[PLY_MAX_PLUS_2];
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Value values[PLY_MAX_PLUS_2];
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int aspirationDelta = 0;
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// Moves to search are verified, scored and sorted
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RootMoveList rml(pos, searchMoves);
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Rml = &rml;
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@ -626,13 +624,13 @@ namespace {
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TT.new_search();
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H.clear();
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init_ss_array(ss, PLY_MAX_PLUS_2);
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ValueByIteration[1] = rml[0].pv_score;
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Iteration = 1;
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values[1] = rml[0].pv_score;
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iteration = 1;
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// Send initial RootMoveList scoring (iteration 1)
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cout << set960(pos.is_chess960()) // Is enough to set once at the beginning
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<< "info depth " << Iteration
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<< "\n" << rml[0].pv_info_to_uci(pos, alpha, beta) << endl;
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<< "info depth " << iteration
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<< "\n" << rml[0].pv_info_to_uci(pos, ONE_PLY, alpha, beta) << endl;
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// Is one move significantly better than others after initial scoring ?
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if ( rml.size() == 1
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@ -640,28 +638,28 @@ namespace {
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EasyMove = rml[0].pv[0];
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// Iterative deepening loop
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while (Iteration < PLY_MAX)
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while (iteration < PLY_MAX)
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{
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// Initialize iteration
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Iteration++;
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BestMoveChangesByIteration[Iteration] = 0;
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iteration++;
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Rml->bestMoveChanges = 0;
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cout << "info depth " << Iteration << endl;
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cout << "info depth " << iteration << endl;
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// Calculate dynamic aspiration window based on previous iterations
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if (MultiPV == 1 && Iteration >= 6 && abs(ValueByIteration[Iteration - 1]) < VALUE_KNOWN_WIN)
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if (MultiPV == 1 && iteration >= 6 && abs(values[iteration - 1]) < VALUE_KNOWN_WIN)
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{
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int prevDelta1 = ValueByIteration[Iteration - 1] - ValueByIteration[Iteration - 2];
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int prevDelta2 = ValueByIteration[Iteration - 2] - ValueByIteration[Iteration - 3];
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int prevDelta1 = values[iteration - 1] - values[iteration - 2];
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int prevDelta2 = values[iteration - 2] - values[iteration - 3];
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AspirationDelta = Max(abs(prevDelta1) + abs(prevDelta2) / 2, 16);
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AspirationDelta = (AspirationDelta + 7) / 8 * 8; // Round to match grainSize
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aspirationDelta = Max(abs(prevDelta1) + abs(prevDelta2) / 2, 16);
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aspirationDelta = (aspirationDelta + 7) / 8 * 8; // Round to match grainSize
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alpha = Max(ValueByIteration[Iteration - 1] - AspirationDelta, -VALUE_INFINITE);
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beta = Min(ValueByIteration[Iteration - 1] + AspirationDelta, VALUE_INFINITE);
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alpha = Max(values[iteration - 1] - aspirationDelta, -VALUE_INFINITE);
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beta = Min(values[iteration - 1] + aspirationDelta, VALUE_INFINITE);
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}
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depth = (Iteration - 2) * ONE_PLY + InitialDepth;
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depth = (iteration - 2) * ONE_PLY + InitialDepth;
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researchCountFL = researchCountFH = 0;
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@ -673,17 +671,17 @@ namespace {
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rml.set_non_pv_scores(pos, rml[0].pv[0], ss);
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rml.sort();
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// Search to the current depth, rml is updated and sorted
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// Search to the current depth
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value = search<PV, false, true>(pos, ss, alpha, beta, depth, 0);
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// Sort the moves before to return
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// Sort the moves and write PV lines to transposition table, in case
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// the relevant entries have been overwritten during the search.
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rml.sort();
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// Write PV lines to transposition table, in case the relevant entries
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// have been overwritten during the search.
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for (int i = 0; i < Min(MultiPV, (int)rml.size()); i++)
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rml[i].insert_pv_in_tt(pos);
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bestMoveChanges[iteration] = Rml->bestMoveChanges;
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if (StopRequest)
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break;
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@ -692,7 +690,7 @@ namespace {
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if (value >= beta)
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{
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// Prepare for a research after a fail high, each time with a wider window
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beta = Min(beta + AspirationDelta * (1 << researchCountFH), VALUE_INFINITE);
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beta = Min(beta + aspirationDelta * (1 << researchCountFH), VALUE_INFINITE);
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researchCountFH++;
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}
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else if (value <= alpha)
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@ -701,7 +699,7 @@ namespace {
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StopOnPonderhit = false;
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// Prepare for a research after a fail low, each time with a wider window
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alpha = Max(alpha - AspirationDelta * (1 << researchCountFL), -VALUE_INFINITE);
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alpha = Max(alpha - aspirationDelta * (1 << researchCountFL), -VALUE_INFINITE);
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researchCountFL++;
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}
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else
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@ -712,7 +710,7 @@ namespace {
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break; // Value cannot be trusted. Break out immediately!
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//Save info about search result
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ValueByIteration[Iteration] = value;
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values[iteration] = value;
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// Drop the easy move if differs from the new best move
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if (rml[0].pv[0] != EasyMove)
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@ -721,40 +719,39 @@ namespace {
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if (UseTimeManagement)
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{
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// Time to stop?
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bool stopSearch = false;
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bool noMoreTime = false;
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// Stop search early if there is only a single legal move,
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// we search up to Iteration 6 anyway to get a proper score.
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if (Iteration >= 6 && rml.size() == 1)
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stopSearch = true;
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if (iteration >= 6 && rml.size() == 1)
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noMoreTime = true;
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// Stop search early when the last two iterations returned a mate score
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if ( Iteration >= 6
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&& abs(ValueByIteration[Iteration]) >= abs(VALUE_MATE) - 100
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&& abs(ValueByIteration[Iteration-1]) >= abs(VALUE_MATE) - 100)
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stopSearch = true;
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if ( iteration >= 6
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&& abs(values[iteration]) >= abs(VALUE_MATE) - 100
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&& abs(values[iteration-1]) >= abs(VALUE_MATE) - 100)
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noMoreTime = true;
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// Stop search early if one move seems to be much better than the others
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if ( Iteration >= 8
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if ( iteration >= 8
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&& EasyMove == rml[0].pv[0]
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&& ( ( rml[0].nodes > (pos.nodes_searched() * 85) / 100
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&& current_search_time() > TimeMgr.available_time() / 16)
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||( rml[0].nodes > (pos.nodes_searched() * 98) / 100
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&& current_search_time() > TimeMgr.available_time() / 32)))
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stopSearch = true;
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noMoreTime = true;
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// Add some extra time if the best move has changed during the last two iterations
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if (Iteration > 5 && Iteration <= 50)
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TimeMgr.pv_instability(BestMoveChangesByIteration[Iteration],
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BestMoveChangesByIteration[Iteration-1]);
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if (iteration > 5 && iteration <= 50)
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TimeMgr.pv_instability(bestMoveChanges[iteration], bestMoveChanges[iteration-1]);
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// Stop search if most of MaxSearchTime is consumed at the end of the
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// iteration. We probably don't have enough time to search the first
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// move at the next iteration anyway.
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if (current_search_time() > (TimeMgr.available_time() * 80) / 128)
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stopSearch = true;
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noMoreTime = true;
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if (stopSearch)
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if (noMoreTime)
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{
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if (Pondering)
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StopOnPonderhit = true;
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@ -763,7 +760,7 @@ namespace {
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}
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}
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if (MaxDepth && Iteration >= MaxDepth)
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if (MaxDepth && iteration >= MaxDepth)
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break;
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}
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@ -1278,14 +1275,14 @@ split_point_start: // At split points actual search starts from here
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// iteration. This information is used for time managment: When
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// the best move changes frequently, we allocate some more time.
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if (!isPvMove && MultiPV == 1)
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BestMoveChangesByIteration[Iteration]++;
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Rml->bestMoveChanges++;
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// Inform GUI that PV has changed, in case of multi-pv UCI protocol
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// requires we send all the PV lines properly sorted.
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Rml->sort_multipv(moveCount);
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for (int j = 0; j < Min(MultiPV, (int)Rml->size()); j++)
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cout << (*Rml)[j].pv_info_to_uci(pos, alpha, beta, j) << endl;
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cout << (*Rml)[j].pv_info_to_uci(pos, depth, alpha, beta, j) << endl;
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// Update alpha. In multi-pv we don't use aspiration window
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if (MultiPV == 1)
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@ -1308,8 +1305,7 @@ split_point_start: // At split points actual search starts from here
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&& bestValue < beta
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&& ThreadsMgr.available_thread_exists(threadID)
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&& !StopRequest
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&& !ThreadsMgr.cutoff_at_splitpoint(threadID)
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&& Iteration <= 99)
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&& !ThreadsMgr.cutoff_at_splitpoint(threadID))
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ThreadsMgr.split<FakeSplit>(pos, ss, ply, &alpha, beta, &bestValue, depth,
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threatMove, mateThreat, moveCount, (MovePicker*)&mp, PvNode);
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}
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@ -2564,7 +2560,7 @@ split_point_start: // At split points actual search starts from here
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// formatted according to UCI specification and eventually writes the info
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// to a log file. It is called at each iteration or after a new pv is found.
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std::string RootMove::pv_info_to_uci(Position& pos, Value alpha, Value beta, int pvLine) {
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std::string RootMove::pv_info_to_uci(Position& pos, Depth depth, Value alpha, Value beta, int pvLine) {
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std::stringstream s, l;
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Move* m = pv;
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@ -2572,7 +2568,7 @@ split_point_start: // At split points actual search starts from here
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while (*m != MOVE_NONE)
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l << *m++ << " ";
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s << "info depth " << Iteration // FIXME
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s << "info depth " << depth / ONE_PLY
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<< " seldepth " << int(m - pv)
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<< " multipv " << pvLine + 1
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<< " score " << value_to_uci(pv_score)
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@ -2587,7 +2583,7 @@ split_point_start: // At split points actual search starts from here
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ValueType t = pv_score >= beta ? VALUE_TYPE_LOWER :
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pv_score <= alpha ? VALUE_TYPE_UPPER : VALUE_TYPE_EXACT;
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LogFile << pretty_pv(pos, current_search_time(), Iteration, pv_score, t, pv) << endl;
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LogFile << pretty_pv(pos, current_search_time(), depth, pv_score, t, pv) << endl;
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}
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return s.str();
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}
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@ -2603,6 +2599,7 @@ split_point_start: // At split points actual search starts from here
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// Initialize search stack
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init_ss_array(ss, PLY_MAX_PLUS_2);
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ss[0].eval = ss[0].evalMargin = VALUE_NONE;
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bestMoveChanges = 0;
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// Generate all legal moves
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MoveStack* last = generate<MV_LEGAL>(pos, mlist);
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