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DroidFish: Updated stockfish to a development version to fix problems on quad-core ARM CPUs.
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@@ -20,7 +20,6 @@
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#include <cmath>
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#include <algorithm>
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#include "misc.h"
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#include "search.h"
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#include "timeman.h"
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#include "ucioption.h"
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@@ -73,7 +72,7 @@ namespace {
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enum TimeType { OptimumTime, MaxTime };
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template<TimeType>
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int remaining(int myTime, int movesToGo, int fullMoveNumber);
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int remaining(int myTime, int movesToGo, int fullMoveNumber, int slowMover);
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}
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@@ -84,7 +83,7 @@ void TimeManager::pv_instability(int curChanges, int prevChanges) {
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}
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void TimeManager::init(const Search::LimitsType& limits, int currentPly)
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void TimeManager::init(const Search::LimitsType& limits, int currentPly, Color us)
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{
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/* We support four different kind of time controls:
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@@ -108,25 +107,26 @@ void TimeManager::init(const Search::LimitsType& limits, int currentPly)
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int emergencyBaseTime = Options["Emergency Base Time"];
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int emergencyMoveTime = Options["Emergency Move Time"];
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int minThinkingTime = Options["Minimum Thinking Time"];
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int slowMover = Options["Slow Mover"];
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// Initialize to maximum values but unstablePVExtraTime that is reset
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unstablePVExtraTime = 0;
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optimumSearchTime = maximumSearchTime = limits.time;
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optimumSearchTime = maximumSearchTime = limits.time[us];
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// We calculate optimum time usage for different hypothetic "moves to go"-values and choose the
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// minimum of calculated search time values. Usually the greatest hypMTG gives the minimum values.
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for (hypMTG = 1; hypMTG <= (limits.movesToGo ? std::min(limits.movesToGo, MoveHorizon) : MoveHorizon); hypMTG++)
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for (hypMTG = 1; hypMTG <= (limits.movestogo ? std::min(limits.movestogo, MoveHorizon) : MoveHorizon); hypMTG++)
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{
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// Calculate thinking time for hypothetic "moves to go"-value
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hypMyTime = limits.time
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+ limits.increment * (hypMTG - 1)
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hypMyTime = limits.time[us]
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+ limits.inc[us] * (hypMTG - 1)
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- emergencyBaseTime
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- emergencyMoveTime * std::min(hypMTG, emergencyMoveHorizon);
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hypMyTime = std::max(hypMyTime, 0);
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t1 = minThinkingTime + remaining<OptimumTime>(hypMyTime, hypMTG, currentPly);
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t2 = minThinkingTime + remaining<MaxTime>(hypMyTime, hypMTG, currentPly);
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t1 = minThinkingTime + remaining<OptimumTime>(hypMyTime, hypMTG, currentPly, slowMover);
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t2 = minThinkingTime + remaining<MaxTime>(hypMyTime, hypMTG, currentPly, slowMover);
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optimumSearchTime = std::min(optimumSearchTime, t1);
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maximumSearchTime = std::min(maximumSearchTime, t2);
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@@ -143,12 +143,12 @@ void TimeManager::init(const Search::LimitsType& limits, int currentPly)
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namespace {
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template<TimeType T>
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int remaining(int myTime, int movesToGo, int currentPly)
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int remaining(int myTime, int movesToGo, int currentPly, int slowMover)
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{
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const float TMaxRatio = (T == OptimumTime ? 1 : MaxRatio);
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const float TStealRatio = (T == OptimumTime ? 0 : StealRatio);
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int thisMoveImportance = move_importance(currentPly);
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int thisMoveImportance = move_importance(currentPly) * slowMover / 100;
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int otherMovesImportance = 0;
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for (int i = 1; i < movesToGo; i++)
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