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Revert "Remove slowMover"
This reverts commit 77fa960f89.
Resolves #590
This commit is contained in:
committed by
Joona Kiiski
parent
77fa960f89
commit
d5ba8e827d
@@ -37,25 +37,27 @@ namespace {
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const double StealRatio = 0.35; // However we must not steal time from remaining moves over this ratio
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// move_importance() is an exponential function based on naive observation
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// that a game is closer to be decided after each half-move. This function
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// should be decreasing and with "nice" convexity properties.
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// move_importance() is a skew-logistic function based on naive statistical
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// analysis of "how many games are still undecided after n half-moves". Game
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// is considered "undecided" as long as neither side has >275cp advantage.
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// Data was extracted from the CCRL game database with some simple filtering criteria.
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double move_importance(int ply) {
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const double PlyScale = 109.3265;
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const double PlyGrowth = 4.0;
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const double XScale = 7.64;
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const double XShift = 58.4;
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const double Skew = 0.183;
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return exp(-pow(ply / PlyScale, PlyGrowth)) + DBL_MIN; // Ensure non-zero
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return pow((1 + exp((ply - XShift) / XScale)), -Skew) + DBL_MIN; // Ensure non-zero
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}
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template<TimeType T>
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int remaining(int myTime, int movesToGo, int ply)
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int remaining(int myTime, int movesToGo, int ply, int slowMover)
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{
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const double TMaxRatio = (T == OptimumTime ? 1 : MaxRatio);
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const double TStealRatio = (T == OptimumTime ? 0 : StealRatio);
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double moveImportance = move_importance(ply);
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double moveImportance = (move_importance(ply) * slowMover) / 100;
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double otherMovesImportance = 0;
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for (int i = 1; i < movesToGo; ++i)
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@@ -83,6 +85,7 @@ void TimeManagement::init(Search::LimitsType& limits, Color us, int ply)
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{
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int minThinkingTime = Options["Minimum Thinking Time"];
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int moveOverhead = Options["Move Overhead"];
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int slowMover = Options["Slow Mover"];
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int npmsec = Options["nodestime"];
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// If we have to play in 'nodes as time' mode, then convert from time
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@@ -117,8 +120,8 @@ void TimeManagement::init(Search::LimitsType& limits, Color us, int ply)
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hypMyTime = std::max(hypMyTime, 0);
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int t1 = minThinkingTime + remaining<OptimumTime>(hypMyTime, hypMTG, ply);
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int t2 = minThinkingTime + remaining<MaxTime >(hypMyTime, hypMTG, ply);
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int t1 = minThinkingTime + remaining<OptimumTime>(hypMyTime, hypMTG, ply, slowMover);
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int t2 = minThinkingTime + remaining<MaxTime >(hypMyTime, hypMTG, ply, slowMover);
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optimumTime = std::min(t1, optimumTime);
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maximumTime = std::min(t2, maximumTime);
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