X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fsearch.cpp;h=d55a1e1743db323aa109a86a08676e2bd5da657a;hb=5c8af7ccb8f59f901740d5a8f4a9270f69487583;hp=25a3984d69331cb8a927e4424c6d0734e8440f29;hpb=08abe8b4a33ab409f5b61ebcb9216ddf8a605e95;p=stockfish diff --git a/src/search.cpp b/src/search.cpp index 25a3984d..d55a1e17 100644 --- a/src/search.cpp +++ b/src/search.cpp @@ -24,6 +24,7 @@ #include #include #include +#include #include "book.h" #include "evaluate.h" @@ -128,7 +129,7 @@ namespace { 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; } @@ -144,7 +145,7 @@ namespace { template 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 @@ -291,7 +292,7 @@ namespace { *dangerous = true; } - return Min(result, ONE_PLY); + return std::min(result, ONE_PLY); } } // namespace @@ -373,7 +374,7 @@ bool think(Position& pos, const SearchLimits& limits, Move searchMoves[]) { // Set best NodesBetweenPolls interval to avoid lagging under time pressure if (Limits.maxNodes) - NodesBetweenPolls = Min(Limits.maxNodes, 30000); + NodesBetweenPolls = std::min(Limits.maxNodes, 30000); else if (Limits.time && Limits.time < 1000) NodesBetweenPolls = 1000; else if (Limits.time && Limits.time < 5000) @@ -417,7 +418,7 @@ bool think(Position& pos, const SearchLimits& limits, Move searchMoves[]) { // 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); // Wake up needed threads and reset maxPly counter for (int i = 0; i < Threads.size(); i++) @@ -527,7 +528,7 @@ namespace { Rml.bestMoveChanges = 0; // MultiPV loop. We perform a full root search for each PV line - for (MultiPVIdx = 0; MultiPVIdx < Min(MultiPV, (int)Rml.size()); MultiPVIdx++) + for (MultiPVIdx = 0; MultiPVIdx < std::min(MultiPV, (int)Rml.size()); MultiPVIdx++) { // Calculate dynamic aspiration window based on previous iterations if (depth >= 5 && abs(Rml[MultiPVIdx].prevScore) < VALUE_KNOWN_WIN) @@ -535,11 +536,11 @@ namespace { 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[MultiPVIdx].prevScore - aspirationDelta, -VALUE_INFINITE); - beta = Min(Rml[MultiPVIdx].prevScore + aspirationDelta, VALUE_INFINITE); + alpha = std::max(Rml[MultiPVIdx].prevScore - aspirationDelta, -VALUE_INFINITE); + beta = std::min(Rml[MultiPVIdx].prevScore + aspirationDelta, VALUE_INFINITE); } else { @@ -585,7 +586,7 @@ namespace { // 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 ((value > alpha && value < beta) || current_search_time() > 2000) - for (int i = 0; i < Min(UCIMultiPV, (int)Rml.size()); i++) + for (int i = 0; i < std::min(UCIMultiPV, (int)Rml.size()); i++) { bool updated = (i <= MultiPVIdx); @@ -607,7 +608,7 @@ namespace { // research, otherwise exit the fail high/low loop. if (value >= beta) { - beta = Min(beta + aspirationDelta, VALUE_INFINITE); + beta = std::min(beta + aspirationDelta, VALUE_INFINITE); aspirationDelta += aspirationDelta / 2; } else if (value <= alpha) @@ -615,7 +616,7 @@ namespace { AspirationFailLow = true; StopOnPonderhit = false; - alpha = Max(alpha - aspirationDelta, -VALUE_INFINITE); + alpha = std::max(alpha - aspirationDelta, -VALUE_INFINITE); aspirationDelta += aspirationDelta / 2; } else @@ -767,8 +768,8 @@ namespace { // 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; } @@ -1680,8 +1681,8 @@ split_point_start: // At split points actual search starts from here 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)); @@ -2015,9 +2016,9 @@ split_point_start: // At split points actual search starts from here // 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