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#include "cluster_finite.h"
void wolff_finite(state_finite_t *s, count_t sweeps, count_t sweeps_per_measurement, count_t n_measurements, measurement_t *measurements) {
for (count_t i = 0; i < sweeps; i++) {
count_t n_flips = 0;
while (n_flips / h->nv < sweeps_per_measurement) {
v_t v0 = gsl_rng_uniform_int(r, h->nv);
R_t step;
bool changed = false;
while (!changed) {
step = gsl_rng_uniform_int(r, s->n_transformations);
if v(symmetric_act(s->transformations + q * step, s->spins[v0]) != s->spins[v0]) {
changed = true;
}
}
v_t tmp_flips = flip_cluster_finite(s, v0, step, r);
n_flips += tmp_flips;
if (n_runs > 0) {
n_steps++;
meas_update(clust, tmp_flips);
if (record_autocorrelation && n_steps % ac_skip == 0) {
update_autocorr(autocorr, s->E);
}
}
}
for (q_t i = 0; i < q; i++) {
meas_update(M[i], s->M[i]);
}
meas_update(E, s->E);
q_t n_at_max = 0;
q_t max_M_i = 0;
v_t max_M = 0;
for (q_t i = 0; i < q; i++) {
if (s->M[i] > max_M) {
n_at_max = 1;
max_M_i = i;
max_M = s->M[i];
} else if (s->M[i] == max_M) {
n_at_max++;
}
}
if (record_distribution) {
mag_dist[s->M[0]]++;
}
if (n_at_max == 1) {
for (q_t i = 0; i < q; i++) {
meas_update(sM[max_M_i][i], s->M[i]);
}
meas_update(sE[max_M_i], s->E);
freqs[max_M_i]++;
}
diff = fabs(meas_dx(clust) / clust->x);
}
}
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