#include "thread.h"
#include "ucioption.h"
+Color EvalRootColor;
+
namespace {
// Struct EvalInfo contains various information computed and collected
inline Score apply_weight(Score v, Score weight);
Value scale_by_game_phase(const Score& v, Phase ph, ScaleFactor sf);
Score weight_option(const std::string& mgOpt, const std::string& egOpt, Score internalWeight);
- void init_safety();
double to_cp(Value v);
void trace_add(int idx, Score term_w, Score term_b = SCORE_ZERO);
}
} // namespace
-/// read_weights() reads evaluation weights from the corresponding UCI parameters
+/// eval_init() reads evaluation weights from the corresponding UCI parameters
+/// and setup weights and tables.
+void eval_init() {
-void read_evaluation_uci_options(Color us) {
+ const Value MaxSlope = Value(30);
+ const Value Peak = Value(1280);
+ Value t[100];
// King safety is asymmetrical. Our king danger level is weighted by
// "Cowardice" UCI parameter, instead the opponent one by "Aggressiveness".
- const int kingDangerUs = (us == WHITE ? KingDangerUs : KingDangerThem);
- const int kingDangerThem = (us == WHITE ? KingDangerThem : KingDangerUs);
-
Weights[Mobility] = weight_option("Mobility (Middle Game)", "Mobility (Endgame)", WeightsInternal[Mobility]);
Weights[PassedPawns] = weight_option("Passed Pawns (Middle Game)", "Passed Pawns (Endgame)", WeightsInternal[PassedPawns]);
Weights[Space] = weight_option("Space", "Space", WeightsInternal[Space]);
- Weights[kingDangerUs] = weight_option("Cowardice", "Cowardice", WeightsInternal[KingDangerUs]);
- Weights[kingDangerThem] = weight_option("Aggressiveness", "Aggressiveness", WeightsInternal[KingDangerThem]);
+ Weights[KingDangerUs] = weight_option("Cowardice", "Cowardice", WeightsInternal[KingDangerUs]);
+ Weights[KingDangerThem] = weight_option("Aggressiveness", "Aggressiveness", WeightsInternal[KingDangerThem]);
// If running in analysis mode, make sure we use symmetrical king safety. We do this
// by replacing both Weights[kingDangerUs] and Weights[kingDangerThem] by their average.
if (Options["UCI_AnalyseMode"])
- Weights[kingDangerUs] = Weights[kingDangerThem] = (Weights[kingDangerUs] + Weights[kingDangerThem]) / 2;
+ Weights[KingDangerUs] = Weights[KingDangerThem] = (Weights[KingDangerUs] + Weights[KingDangerThem]) / 2;
+
+ // First setup the base table
+ for (int i = 0; i < 100; i++)
+ {
+ t[i] = Value(int(0.4 * i * i));
+
+ if (i > 0)
+ t[i] = std::min(t[i], t[i - 1] + MaxSlope);
- init_safety();
+ t[i] = std::min(t[i], Peak);
+ }
+
+ // Then apply the weights and get the final KingDangerTable[] array
+ for (Color c = WHITE; c <= BLACK; c++)
+ for (int i = 0; i < 100; i++)
+ KingDangerTable[c == WHITE][i] = apply_weight(make_score(t[i], 0), Weights[KingDangerUs + c]);
}
// value that will be used for pruning because this value can sometimes
// be very big, and so capturing a single attacking piece can therefore
// result in a score change far bigger than the value of the captured piece.
- score -= KingDangerTable[Us][attackUnits];
- margins[Us] += mg_value(KingDangerTable[Us][attackUnits]);
+ score -= KingDangerTable[Us == EvalRootColor][attackUnits];
+ margins[Us] += mg_value(KingDangerTable[Us == EvalRootColor][attackUnits]);
}
if (Trace)
}
- // init_safety() initizes the king safety evaluation, based on UCI
- // parameters. It is called from read_weights().
-
- void init_safety() {
-
- const Value MaxSlope = Value(30);
- const Value Peak = Value(1280);
- Value t[100];
-
- // First setup the base table
- for (int i = 0; i < 100; i++)
- {
- t[i] = Value(int(0.4 * i * i));
-
- if (i > 0)
- t[i] = std::min(t[i], t[i - 1] + MaxSlope);
-
- t[i] = std::min(t[i], Peak);
- }
-
- // Then apply the weights and get the final KingDangerTable[] array
- for (Color c = WHITE; c <= BLACK; c++)
- for (int i = 0; i < 100; i++)
- KingDangerTable[c][i] = apply_weight(make_score(t[i], 0), Weights[KingDangerUs + c]);
- }
-
-
// A couple of little helpers used by tracing code, to_cp() converts a value to
// a double in centipawns scale, trace_add() stores white and black scores.