// The coefficients of a third-order polynomial fit is based on the fishtest data
// for two parameters that need to transform eval to the argument of a logistic
// function.
- constexpr double as[] = { 0.33677609, -4.30175627, 33.08810557, 365.60223431};
- constexpr double bs[] = { -2.50471102, 14.23235405, -14.33066859, 71.42705250 };
+ constexpr double as[] = { 0.38036525, -2.82015070, 23.17882135, 307.36768407};
+ constexpr double bs[] = { -2.29434733, 13.27689788, -14.26828904, 63.45318330 };
// Enforce that NormalizeToPawnValue corresponds to a 50% win rate at ply 64
static_assert(UCI::NormalizeToPawnValue == int(as[0] + as[1] + as[2] + as[3]));
}
+/// Turns a Value to an integer centipawn number,
+/// without treatment of mate and similar special scores.
+int UCI::to_cp(Value v) {
+
+ return 100 * v / UCI::NormalizeToPawnValue;
+}
+
/// UCI::value() converts a Value to a string by adhering to the UCI protocol specification:
///
/// cp <x> The score from the engine's point of view in centipawns.
stringstream ss;
if (abs(v) < VALUE_TB_WIN_IN_MAX_PLY)
- ss << "cp " << v * 100 / NormalizeToPawnValue;
+ ss << "cp " << UCI::to_cp(v);
else if (abs(v) < VALUE_MATE_IN_MAX_PLY)
{
const int ply = VALUE_MATE_IN_MAX_PLY - 1 - std::abs(v); // recompute ss->ply