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#include "cluster.h"
#include "state.h"
template <class R_t, class X_t>
void wolff(count_t N, D_t D, L_t L, double T, std::function <double(X_t, X_t)> J, std::function <double(X_t)> H, std::function <R_t(gsl_rng *, const state_t <R_t, X_t> *)> gen_R, unsigned int n_measurements, std::function <void(const state_t <R_t, X_t> *)> *measurements, bool silent) {
state_t <R_t, X_t> s(D, L, T, J, H);
// initialize random number generator
gsl_rng *r = gsl_rng_alloc(gsl_rng_mt19937);
gsl_rng_set(r, rand_seed());
if (!silent) printf("\n");
for (count_t steps = 0; steps < N; steps++) {
if (!silent) printf("\033[F\033[JWOLFF: sweep %" PRIu64 " / %" PRIu64 ": E = %.2f, S = %" PRIv "\n", steps, N, s.E, s.last_cluster_size);
v_t v0 = gsl_rng_uniform_int(r, s.nv);
R_t step = gen_R(r, &s);
flip_cluster <R_t, X_t> (&s, v0, step, r);
free_spin(step);
for (unsigned int i = 0; i < n_measurements; i++) {
measurements[i](&s);
}
}
if (!silent) {
printf("\033[F\033[J");
}
printf("WOLFF: sweep %" PRIu64 " / %" PRIu64 ": E = %.2f, S = %" PRIv "\n", N, N, s.E, s.last_cluster_size);
gsl_rng_free(r);
}
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