X-Git-Url: https://git.sesse.net/?p=stockfish;a=blobdiff_plain;f=src%2Ftimeman.cpp;h=e63454ebd7b3f85f4d6dedaafbe4df949e7133d2;hp=04730abcc4a0f68eebb078a6044b1316eaae8d2b;hb=759b3c79cf94d101163f646b1eb2a9f9c64293ab;hpb=42b48b08e81b55e385e55b3074b7c59d81809a45

diff --git a/src/timeman.cpp b/src/timeman.cpp
index 04730abc..e63454eb 100644
--- a/src/timeman.cpp
+++ b/src/timeman.cpp
@@ -2,6 +2,7 @@
   Stockfish, a UCI chess playing engine derived from Glaurung 2.1
   Copyright (C) 2004-2008 Tord Romstad (Glaurung author)
   Copyright (C) 2008-2015 Marco Costalba, Joona Kiiski, Tord Romstad
+  Copyright (C) 2015-2018 Marco Costalba, Joona Kiiski, Gary Linscott, Tord Romstad
 
   Stockfish is free software: you can redistribute it and/or modify
   it under the terms of the GNU General Public License as published by
@@ -25,34 +26,36 @@
 #include "timeman.h"
 #include "uci.h"
 
+TimeManagement Time; // Our global time management object
+
 namespace {
 
   enum TimeType { OptimumTime, MaxTime };
 
-  const int MoveHorizon   = 50;   // Plan time management at most this many moves ahead
-  const double MaxRatio   = 7.0;  // When in trouble, we can step over reserved time with this ratio
-  const double StealRatio = 0.33; // However we must not steal time from remaining moves over this ratio
+  constexpr int MoveHorizon   = 50;   // Plan time management at most this many moves ahead
+  constexpr double MaxRatio   = 7.3;  // When in trouble, we can step over reserved time with this ratio
+  constexpr double StealRatio = 0.34; // However we must not steal time from remaining moves over this ratio
 
 
   // move_importance() is a skew-logistic function based on naive statistical
   // analysis of "how many games are still undecided after n half-moves". Game
   // is considered "undecided" as long as neither side has >275cp advantage.
-  // Data was extracted from CCRL game database with some simple filtering criteria.
+  // Data was extracted from the CCRL game database with some simple filtering criteria.
 
   double move_importance(int ply) {
 
-    const double XScale = 9.3;
-    const double XShift = 59.8;
-    const double Skew   = 0.172;
+    constexpr double XScale = 6.85;
+    constexpr double XShift = 64.5;
+    constexpr double Skew   = 0.171;
 
     return pow((1 + exp((ply - XShift) / XScale)), -Skew) + DBL_MIN; // Ensure non-zero
   }
 
   template<TimeType T>
-  int remaining(int myTime, int movesToGo, int ply, int slowMover)
-  {
-    const double TMaxRatio   = (T == OptimumTime ? 1 : MaxRatio);
-    const double TStealRatio = (T == OptimumTime ? 0 : StealRatio);
+  int remaining(int myTime, int movesToGo, int ply, int slowMover) {
+
+    constexpr double TMaxRatio   = (T == OptimumTime ? 1 : MaxRatio);
+    constexpr double TStealRatio = (T == OptimumTime ? 0 : StealRatio);
 
     double moveImportance = (move_importance(ply) * slowMover) / 100;
     double otherMovesImportance = 0;
@@ -63,7 +66,7 @@ namespace {
     double ratio1 = (TMaxRatio * moveImportance) / (TMaxRatio * moveImportance + otherMovesImportance);
     double ratio2 = (moveImportance + TStealRatio * otherMovesImportance) / (moveImportance + otherMovesImportance);
 
-    return int(myTime * std::min(ratio1, ratio2)); // Intel C++ asks an explicit cast
+    return int(myTime * std::min(ratio1, ratio2)); // Intel C++ asks for an explicit cast
   }
 
 } // namespace
@@ -78,22 +81,37 @@ namespace {
 ///  inc >  0 && movestogo == 0 means: x basetime + z increment
 ///  inc >  0 && movestogo != 0 means: x moves in y minutes + z increment
 
-void TimeManager::init(const Search::LimitsType& limits, Color us, int ply)
-{
+void TimeManagement::init(Search::LimitsType& limits, Color us, int ply) {
+
   int minThinkingTime = Options["Minimum Thinking Time"];
   int moveOverhead    = Options["Move Overhead"];
   int slowMover       = Options["Slow Mover"];
+  int npmsec          = Options["nodestime"];
 
-  // Initialize unstablePvFactor to 1 and search times to maximum values
-  unstablePvFactor = 1;
-  optimumSearchTime = maximumSearchTime = std::max(limits.time[us], minThinkingTime);
+  // If we have to play in 'nodes as time' mode, then convert from time
+  // to nodes, and use resulting values in time management formulas.
+  // WARNING: Given npms (nodes per millisecond) must be much lower then
+  // the real engine speed to avoid time losses.
+  if (npmsec)
+  {
+      if (!availableNodes) // Only once at game start
+          availableNodes = npmsec * limits.time[us]; // Time is in msec
 
-  const int MaxMTG = limits.movestogo ? std::min(limits.movestogo, MoveHorizon) : MoveHorizon;
+      // Convert from millisecs to nodes
+      limits.time[us] = (int)availableNodes;
+      limits.inc[us] *= npmsec;
+      limits.npmsec = npmsec;
+  }
+
+  startTime = limits.startTime;
+  optimumTime = maximumTime = std::max(limits.time[us], minThinkingTime);
+
+  const int maxMTG = limits.movestogo ? std::min(limits.movestogo, MoveHorizon) : MoveHorizon;
 
   // We calculate optimum time usage for different hypothetical "moves to go"-values
   // and choose the minimum of calculated search time values. Usually the greatest
   // hypMTG gives the minimum values.
-  for (int hypMTG = 1; hypMTG <= MaxMTG; ++hypMTG)
+  for (int hypMTG = 1; hypMTG <= maxMTG; ++hypMTG)
   {
       // Calculate thinking time for hypothetical "moves to go"-value
       int hypMyTime =  limits.time[us]
@@ -105,12 +123,10 @@ void TimeManager::init(const Search::LimitsType& limits, Color us, int ply)
       int t1 = minThinkingTime + remaining<OptimumTime>(hypMyTime, hypMTG, ply, slowMover);
       int t2 = minThinkingTime + remaining<MaxTime    >(hypMyTime, hypMTG, ply, slowMover);
 
-      optimumSearchTime = std::min(t1, optimumSearchTime);
-      maximumSearchTime = std::min(t2, maximumSearchTime);
+      optimumTime = std::min(t1, optimumTime);
+      maximumTime = std::min(t2, maximumTime);
   }
 
   if (Options["Ponder"])
-      optimumSearchTime += optimumSearchTime / 4;
-
-  optimumSearchTime = std::min(optimumSearchTime, maximumSearchTime);
+      optimumTime += optimumTime / 4;
 }