void init() {
Weights[Mobility] = weight_option("Mobility (Midgame)", "Mobility (Endgame)", WeightsInternal[Mobility]);
Weights[PawnStructure] = weight_option("Pawn Structure (Midgame)", "Pawn Structure (Endgame)", WeightsInternal[PawnStructure]);
Weights[PassedPawns] = weight_option("Passed Pawns (Midgame)", "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]);
const int MaxSlope = 30;
const int Peak = 1280;
for (int t = 0, i = 1; i < 100; ++i)
{
t = std::min(Peak, std::min(int(0.4 * i * i), t + MaxSlope));
KingDanger[1][i] = apply_weight(make_score(t, 0), Weights[KingDangerUs]);
KingDanger[0][i] = apply_weight(make_score(t, 0), Weights[KingDangerThem]);
}
}
void init() {
const double MaxSlope = 30;
const double Peak = 1280;
for (int t = 0, i = 1; i < 100; ++i)
{
t = int(std::min(Peak, std::min(0.4 * i * i, t + MaxSlope)));
KingDanger[i] = apply_weight(make_score(t, 0), Weights[KingSafety]);
}
}
void init() {
const double MaxSlope = 7.5;
const double Peak = 1280;
double t = 0.0;
for (int i = 1; i < 400; ++i)
{
t = std::min(Peak, std::min(0.025 * i * i, t + MaxSlope));
KingDanger[i] = apply_weight(make_score(int(t), 0), Weights[KingSafety]);
}
}
static void decorr_mono_pass (int32_t *in_samples, int32_t *out_samples, uint32_t num_samples, struct decorr_pass *dpp, int dir)
{
int32_t cont_samples = 0;
int m = 0, i;
#ifdef PACK_DECORR_MONO_PASS_CONT
if (num_samples > 16 && dir > 0) {
int32_t pre_samples = (dpp->term > MAX_TERM) ? 2 : dpp->term;
cont_samples = num_samples - pre_samples;
num_samples = pre_samples;
}
#endif
dpp->sum_A = 0;
if (dir < 0) {
out_samples += (num_samples + cont_samples - 1);
in_samples += (num_samples + cont_samples - 1);
dir = -1;
}
else
dir = 1;
dpp->weight_A = restore_weight (store_weight (dpp->weight_A));
for (i = 0; i < 8; ++i)
dpp->samples_A [i] = exp2s (log2s (dpp->samples_A [i]));
if (dpp->term > MAX_TERM) {
while (num_samples--) {
int32_t left, sam_A;
if (dpp->term & 1)
sam_A = 2 * dpp->samples_A [0] - dpp->samples_A [1];
else
sam_A = (3 * dpp->samples_A [0] - dpp->samples_A [1]) >> 1;
dpp->samples_A [1] = dpp->samples_A [0];
dpp->samples_A [0] = left = in_samples [0];
left -= apply_weight (dpp->weight_A, sam_A);
update_weight (dpp->weight_A, dpp->delta, sam_A, left);
dpp->sum_A += dpp->weight_A;
out_samples [0] = left;
in_samples += dir;
out_samples += dir;
}
}
else if (dpp->term > 0) {
static void decorr_mono_pass (int32_t *in_samples, int32_t *out_samples, uint32_t num_samples, struct decorr_pass *dpp, int dir)
{
int m = 0;
dpp->sum_A = 0;
#ifdef MINMAX_WEIGHTS
dpp->min = dpp->max = 0;
#endif
if (dir < 0) {
out_samples += (num_samples - 1);
in_samples += (num_samples - 1);
dir = -1;
}
else
dir = 1;
if (dpp->term > MAX_TERM) {
while (num_samples--) {
int32_t left, sam_A;
if (dpp->term & 1)
sam_A = 2 * dpp->samples_A [0] - dpp->samples_A [1];
else
sam_A = (3 * dpp->samples_A [0] - dpp->samples_A [1]) >> 1;
dpp->samples_A [1] = dpp->samples_A [0];
dpp->samples_A [0] = left = in_samples [0];
left -= apply_weight (dpp->weight_A, sam_A);
update_weight (dpp->weight_A, dpp->delta, sam_A, left);
dpp->sum_A += dpp->weight_A;
#ifdef MINMAX_WEIGHTS
if (dpp->weight_A > dpp->max) dpp->max = dpp->weight_A;
if (dpp->weight_A < dpp->min) dpp->min = dpp->weight_A;
#endif
out_samples [0] = left;
in_samples += dir;
out_samples += dir;
}
}
else if (dpp->term > 0) {
static void decorr_mono_pass (int32_t *in_samples, int32_t *out_samples, uint32_t num_samples, struct decorr_pass *dpp, int dir)
{
int m = 0, i;
dpp->sum_A = 0;
if (dir < 0) {
out_samples += (num_samples - 1);
in_samples += (num_samples - 1);
dir = -1;
}
else
dir = 1;
dpp->weight_A = restore_weight (store_weight (dpp->weight_A));
for (i = 0; i < 8; ++i)
dpp->samples_A [i] = exp2s (log2s (dpp->samples_A [i]));
if (dpp->term > MAX_TERM) {
while (num_samples--) {
int32_t left, sam_A;
if (dpp->term & 1)
sam_A = 2 * dpp->samples_A [0] - dpp->samples_A [1];
else
sam_A = (3 * dpp->samples_A [0] - dpp->samples_A [1]) >> 1;
dpp->samples_A [1] = dpp->samples_A [0];
dpp->samples_A [0] = left = in_samples [0];
left -= apply_weight (dpp->weight_A, sam_A);
update_weight (dpp->weight_A, dpp->delta, sam_A, left);
dpp->sum_A += dpp->weight_A;
out_samples [0] = left;
in_samples += dir;
out_samples += dir;
}
}
else if (dpp->term > 0) {
