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https://github.com/sockspls/badfish
synced 2025-05-01 09:13:08 +00:00
Merge Joona's new aspiration window search
It seems very positive. After 999 games at 1'+0" result is: +249 -216 =534 +11 ELO And after another 456 games we still have: +122 -113 =221
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commit
4634be8ba6
1 changed files with 118 additions and 33 deletions
151
src/search.cpp
151
src/search.cpp
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@ -47,6 +47,26 @@ namespace {
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/// Types
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// IterationInfoType stores search results for each iteration
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//
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// Because we use relatively small (dynamic) aspiration window,
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// there happens many fail highs and fail lows in root. And
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// because we don't do researches in those cases, "value" stored
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// here is not necessarily exact. Instead in case of fail high/low
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// we guess what the right value might be and store our guess
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// as a "speculated value" and then move on. Speculated values are
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// used just to calculate aspiration window width, so also if are
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// not exact is not big a problem.
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struct IterationInfoType {
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IterationInfoType(Value v = Value(0), Value sv = Value(0))
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: value(v), speculatedValue(sv) {}
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Value value, speculatedValue;
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};
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// The BetaCounterType class is used to order moves at ply one.
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// Apart for the first one that has its score, following moves
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// normally have score -VALUE_INFINITE, so are ordered according
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@ -196,7 +216,7 @@ namespace {
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BetaCounterType BetaCounter;
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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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IterationInfoType IterationInfo[PLY_MAX_PLUS_2];
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int BestMoveChangesByIteration[PLY_MAX_PLUS_2];
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// MultiPV mode
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@ -214,6 +234,7 @@ namespace {
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bool AbortSearch;
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bool Quit;
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bool FailHigh;
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bool FailLow;
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bool Problem;
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bool PonderingEnabled;
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int ExactMaxTime;
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@ -246,13 +267,10 @@ namespace {
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/// Functions
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Value id_loop(const Position &pos, Move searchMoves[]);
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Value root_search(Position &pos, SearchStack ss[], RootMoveList &rml);
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Value search_pv(Position &pos, SearchStack ss[], Value alpha, Value beta,
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Depth depth, int ply, int threadID);
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Value search(Position &pos, SearchStack ss[], Value beta,
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Depth depth, int ply, bool allowNullmove, int threadID);
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Value qsearch(Position &pos, SearchStack ss[], Value alpha, Value beta,
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Depth depth, int ply, int threadID);
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Value root_search(Position &pos, SearchStack ss[], RootMoveList &rml, Value alpha, Value beta);
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Value search_pv(Position &pos, SearchStack ss[], Value alpha, Value beta, Depth depth, int ply, int threadID);
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Value search(Position &pos, SearchStack ss[], Value beta, Depth depth, int ply, bool allowNullmove, int threadID);
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Value qsearch(Position &pos, SearchStack ss[], Value alpha, Value beta, Depth depth, int ply, int threadID);
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void sp_search(SplitPoint *sp, int threadID);
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void sp_search_pv(SplitPoint *sp, int threadID);
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void init_node(SearchStack ss[], int ply, int threadID);
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@ -380,6 +398,7 @@ void think(const Position &pos, bool infinite, bool ponder, int side_to_move,
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AbortSearch = false;
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Quit = false;
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FailHigh = false;
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FailLow = false;
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Problem = false;
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ExactMaxTime = maxTime;
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@ -654,14 +673,13 @@ namespace {
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ss[i].init(i);
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ss[i].initKillers();
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}
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ValueByIteration[0] = Value(0);
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ValueByIteration[1] = rml.get_move_score(0);
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IterationInfo[1] = IterationInfoType(rml.get_move_score(0), rml.get_move_score(0));
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Iteration = 1;
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EasyMove = rml.scan_for_easy_move();
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// Iterative deepening loop
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while (!AbortSearch && 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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rml.sort();
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@ -672,8 +690,62 @@ namespace {
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std::cout << "info depth " << Iteration << std::endl;
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// Calculate dynamic search window based on previous iterations
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Value alpha, beta;
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if (MultiPV == 1 && Iteration >= 6)
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{
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int prevDelta1 = IterationInfo[Iteration - 1].speculatedValue - IterationInfo[Iteration - 2].speculatedValue;
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int prevDelta2 = IterationInfo[Iteration - 2].speculatedValue - IterationInfo[Iteration - 3].speculatedValue;
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int delta = Max(2 * abs(prevDelta1) + abs(prevDelta2), ProblemMargin);
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alpha = Max(IterationInfo[Iteration - 1].value - delta, -VALUE_INFINITE);
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beta = Min(IterationInfo[Iteration - 1].value + delta, VALUE_INFINITE);
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}
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else
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{
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alpha = - VALUE_INFINITE;
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beta = VALUE_INFINITE;
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}
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// Search to the current depth
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ValueByIteration[Iteration] = root_search(p, ss, rml);
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Value value = root_search(p, ss, rml, alpha, beta);
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// Write PV to transposition table, in case the relevant entries have
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// been overwritten during the search.
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TT.insert_pv(p, ss[0].pv);
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if (AbortSearch)
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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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Value speculatedValue;
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bool fHigh = false;
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bool fLow = false;
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Value delta = value - IterationInfo[Iteration - 1].value;
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if (value >= beta)
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{
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assert(delta > 0);
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fHigh = true;
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speculatedValue = value + delta;
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BestMoveChangesByIteration[Iteration] += 2; // Allocate more time
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}
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else if (value <= alpha)
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{
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assert(value == alpha);
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assert(delta < 0);
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fLow = true;
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speculatedValue = value + delta;
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BestMoveChangesByIteration[Iteration] += 3; // Allocate more time
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} else
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speculatedValue = value;
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speculatedValue = Min(Max(speculatedValue, -VALUE_INFINITE), VALUE_INFINITE);
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IterationInfo[Iteration] = IterationInfoType(value, speculatedValue);
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// Erase the easy move if it differs from the new best move
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if (ss[0].pv[0] != EasyMove)
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@ -692,13 +764,15 @@ namespace {
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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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&& abs(IterationInfo[Iteration].value) >= abs(VALUE_MATE) - 100
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&& abs(IterationInfo[Iteration-1].value) >= abs(VALUE_MATE) - 100)
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stopSearch = true;
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// Stop search early if one move seems to be much better than the rest
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int64_t nodes = nodes_searched();
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if ( Iteration >= 8
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&& !fLow
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&& !fHigh
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&& EasyMove == ss[0].pv[0]
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&& ( ( rml.get_move_cumulative_nodes(0) > (nodes * 85) / 100
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&& current_search_time() > MaxSearchTime / 16)
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@ -719,15 +793,13 @@ namespace {
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if (stopSearch)
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{
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//FIXME: Implement fail-low emergency measures
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if (!PonderSearch)
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break;
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else
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StopOnPonderhit = true;
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}
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}
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// Write PV to transposition table, in case the relevant entries have
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// been overwritten during the search:
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TT.insert_pv(p, ss[0].pv);
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if (MaxDepth && Iteration >= MaxDepth)
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break;
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@ -784,15 +856,23 @@ namespace {
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// scheme (perhaps we should try to use this at internal PV nodes, too?)
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// and prints some information to the standard output.
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Value root_search(Position &pos, SearchStack ss[], RootMoveList &rml) {
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Value root_search(Position &pos, SearchStack ss[], RootMoveList &rml, Value alpha, Value beta) {
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Value alpha = -VALUE_INFINITE;
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Value beta = VALUE_INFINITE, value;
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Value oldAlpha = alpha;
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Value value;
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Bitboard dcCandidates = pos.discovered_check_candidates(pos.side_to_move());
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// Loop through all the moves in the root move list
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for (int i = 0; i < rml.move_count() && !AbortSearch; i++)
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{
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if (alpha >= beta)
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{
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// We failed high, invalidate and skip next moves, leave node-counters
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// and beta-counters as they are and quickly return, we will try to do
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// a research at the next iteration with a bigger aspiration window.
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rml.set_move_score(i, -VALUE_INFINITE);
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continue;
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}
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int64_t nodes;
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Move move;
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StateInfo st;
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@ -825,12 +905,12 @@ namespace {
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if (i < MultiPV)
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{
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value = -search_pv(pos, ss, -beta, VALUE_INFINITE, newDepth, 1, 0);
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value = -search_pv(pos, ss, -beta, -alpha, newDepth, 1, 0);
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// If the value has dropped a lot compared to the last iteration,
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// set the boolean variable Problem to true. This variable is used
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// for time managment: When Problem is true, we try to complete the
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// current iteration before playing a move.
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Problem = (Iteration >= 2 && value <= ValueByIteration[Iteration-1] - ProblemMargin);
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Problem = (Iteration >= 2 && value <= IterationInfo[Iteration-1].value - ProblemMargin);
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if (Problem && StopOnPonderhit)
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StopOnPonderhit = false;
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// was aborted because the user interrupted the search or because we
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// ran out of time. In this case, the return value of the search cannot
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// be trusted, and we break out of the loop without updating the best
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// move and/or PV:
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// move and/or PV.
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if (AbortSearch)
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break;
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@ -874,7 +954,7 @@ namespace {
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rml.set_move_score(i, -VALUE_INFINITE);
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else
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{
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// New best move!
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// PV move or new best move!
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// Update PV
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rml.set_move_score(i, value);
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LogFile << pretty_pv(pos, current_search_time(), Iteration, nodes_searched(), value, ss[0].pv)
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<< std::endl;
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alpha = value;
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if (value > alpha)
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alpha = value;
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// Reset the global variable Problem to false if the value isn't too
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// far below the final value from the last iteration.
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if (value > ValueByIteration[Iteration - 1] - NoProblemMargin)
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if (value > IterationInfo[Iteration - 1].value - NoProblemMargin)
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Problem = false;
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}
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else // MultiPV > 1
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@ -934,7 +1015,11 @@ namespace {
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}
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alpha = rml.get_move_score(Min(i, MultiPV-1));
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}
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}
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} // New best move case
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assert(alpha >= oldAlpha);
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FailLow = (alpha == oldAlpha);
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}
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return alpha;
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}
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@ -1083,7 +1168,7 @@ namespace {
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// (from the computer's point of view) since the previous iteration:
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if ( ply == 1
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&& Iteration >= 2
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&& -value <= ValueByIteration[Iteration-1] - ProblemMargin)
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&& -value <= IterationInfo[Iteration-1].value - ProblemMargin)
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Problem = true;
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}
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@ -1796,7 +1881,7 @@ namespace {
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// (from the computer's point of view) since the previous iteration.
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if ( sp->ply == 1
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&& Iteration >= 2
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&& -value <= ValueByIteration[Iteration-1] - ProblemMargin)
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&& -value <= IterationInfo[Iteration-1].value - ProblemMargin)
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Problem = true;
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}
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lock_release(&(sp->lock));
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@ -2425,8 +2510,8 @@ namespace {
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return;
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bool overTime = t > AbsoluteMaxSearchTime
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|| (RootMoveNumber == 1 && t > MaxSearchTime + ExtraSearchTime)
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|| ( !FailHigh && !fail_high_ply_1() && !Problem
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|| (RootMoveNumber == 1 && t > MaxSearchTime + ExtraSearchTime && !FailLow) //FIXME: We are not checking any problem flags, BUG?
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|| ( !FailHigh && !FailLow && !fail_high_ply_1() && !Problem
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&& t > 6*(MaxSearchTime + ExtraSearchTime));
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if ( (Iteration >= 3 && (!InfiniteSearch && overTime))
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@ -2447,8 +2532,8 @@ namespace {
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(!InfiniteSearch && (StopOnPonderhit ||
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t > AbsoluteMaxSearchTime ||
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(RootMoveNumber == 1 &&
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t > MaxSearchTime + ExtraSearchTime) ||
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(!FailHigh && !fail_high_ply_1() && !Problem &&
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t > MaxSearchTime + ExtraSearchTime && !FailLow) ||
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(!FailHigh && !FailLow && !fail_high_ply_1() && !Problem &&
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t > 6*(MaxSearchTime + ExtraSearchTime)))))
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AbortSearch = true;
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}
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