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#include <wolff.h>
int main(int argc, char *argv[]) {
int opt;
sim_t sim;
bool output_state, use_dual, M_stop, record_autocorrelation;
lattice_t lat;
uint16_t L;
uint32_t min_runs, lattice_i, sim_i;
uint64_t N;
double T, H, eps;
sim = WOLFF;
L = 128;
N = 1000;
lat = SQUARE_LATTICE;
use_dual = false;
M_stop = false;
record_autocorrelation = false;
T = 2.3;
H = 0;
eps = 1e30;
output_state = false;
min_runs = 10;
while ((opt = getopt(argc, argv, "N:L:T:H:m:e:oq:DMas:")) != -1) {
switch (opt) {
case 'N':
N = (uint64_t)atof(optarg);
break;
case 'L':
L = atoi(optarg);
break;
case 'T':
T = atof(optarg);
break;
case 'H':
H = atof(optarg);
break;
case 'm':
min_runs = atoi(optarg);
break;
case 'M':
M_stop = true;
break;
case 'e':
eps = atof(optarg);
break;
case 'o':
output_state = true;
break;
case 'D':
use_dual = true;
break;
case 'a':
record_autocorrelation = true;
break;
case 's':
sim_i = atoi(optarg);
switch (sim_i) {
case 0:
sim = WOLFF;
break;
case 1:
sim = WOLFF_GHOST;
break;
case 2:
sim = METROPOLIS;
break;
default:
printf("lattice specifier must be 0 (VORONOI_LATTICE), 1 "
"(DIAGONAL_LATTICE), or 2 (VORONOI_HYPERUNIFORM_LATTICE).\n");
exit(EXIT_FAILURE);
}
break;
case 'q':
lattice_i = atoi(optarg);
switch (lattice_i) {
case 0:
lat = SQUARE_LATTICE;
break;
case 1:
lat = DIAGONAL_LATTICE;
break;
case 2:
lat = TRIANGULAR_LATTICE;
break;
case 3:
lat = VORONOI_HYPERUNIFORM_LATTICE;
break;
case 4:
lat = VORONOI_LATTICE;
break;
default:
printf("lattice specifier must be 0 (VORONOI_LATTICE), 1 "
"(DIAGONAL_LATTICE), or 2 (VORONOI_HYPERUNIFORM_LATTICE).\n");
exit(EXIT_FAILURE);
}
break;
default:
exit(EXIT_FAILURE);
}
}
gsl_rng *r = gsl_rng_alloc(gsl_rng_mt19937);
gsl_rng_set(r, jst_rand_seed());
graph_t *h = graph_create(lat, TORUS_BOUND, L, use_dual);
ising_state_t *s = (ising_state_t *)calloc(1, sizeof(ising_state_t));
s->g = graph_add_ext(h);
s->spins = (bool *)calloc(h->nv + 1, sizeof(bool));
s->M = sign(H) * h->nv;
s->H = -(1.0 * h->ne) - sign (H) * H * h->nv;
double *bond_probs = (double *)malloc(2 * sizeof(double));
bond_probs[0] = 1 - exp(-2 / T);
bond_probs[1] = 1 - exp(-2 * fabs(H) / T);
double diff = 1e31;
uint64_t n_runs = 0;
uint64_t n_steps = 0;
double clust_per_sweep = 0;
uint64_t auto_n = 10 * h->nv;
uint64_t *auto_time;
double *auto_energy;
if (record_autocorrelation) {
auto_time = (uint64_t *)malloc(auto_n * sizeof(uint64_t));
auto_energy = (double *)malloc(auto_n * sizeof(double));
auto_time[0] = 0;
auto_energy[0] = s->H / h->nv;
}
meas_t *M, *aM, *eM, *mM, *E, *eE, *mE;
M = calloc(1, sizeof(meas_t));
aM = calloc(1, sizeof(meas_t));
eM = calloc(1, sizeof(meas_t));
mM = calloc(1, sizeof(meas_t));
E = calloc(1, sizeof(meas_t));
eE = calloc(1, sizeof(meas_t));
mE = calloc(1, sizeof(meas_t));
printf("\n");
while (diff > eps || diff == 0. || n_runs < min_runs) {
printf("\033[F\033[JWOLFF: sweep %" PRIu64
", dH/H = %.4f, dM/M = %.4f, dC/C = %.4f, dX/X = %.4f, cps: %.1f\n",
n_runs, fabs(E->dx / E->x), M->dx / M->x, E->dc / E->c, M->dc / M->c, clust_per_sweep);
uint32_t n_flips = 0;
uint32_t n_clust = 0;
while (n_flips / h->nv < N) {
n_flips += wolff_step(T, H, s, sim, r, bond_probs);
n_clust++;
}
double HH = 1;
if (H < 0) {
HH = -1;
}
update_meas(M, (double)(s->M));
update_meas(aM, HH * fabs((double)(s->M)));
update_meas(E, s->H);
if (s->M > 0) {
update_meas(eM, HH * fabs((double)(s->M)));
update_meas(eE, s->H);
} else {
update_meas(mM, - HH * fabs((double)(s->M)));
update_meas(mE, s->H);
}
if (M_stop) {
diff = fabs(eM->dx / eM->x);
} else {
diff = fabs(M->dc / M->c);
}
clust_per_sweep = add_to_avg(clust_per_sweep, n_clust * 1. / N, n_runs);
n_runs++;
n_steps += n_flips;
if (record_autocorrelation) {
if (n_runs == auto_n) {
auto_n *= 2;
auto_time = (uint64_t *)realloc(auto_time, auto_n * sizeof(uint64_t));
auto_energy = (double *)realloc(auto_energy, auto_n * sizeof(double));
}
auto_time[n_runs] = n_steps;
auto_energy[n_runs] = s->H / h->nv;
}
}
printf("\033[F\033[JWOLFF: sweep %" PRIu64
", dH/H = %.4f, dM/M = %.4f, dC/C = %.4f, dX/X = %.4f, cps: %.1f\n",
n_runs, fabs(E->dx / E->x), M->dx / M->x, E->dc / E->c, M->dc / M->c, clust_per_sweep);
FILE *outfile = fopen("out.dat", "a");
fprintf(outfile,
"%u %.15f %.15f %" PRIu64 " %.15f %.15f %.15f %.15f %.15f %.15f %.15f %.15f %" PRIu64 " %.15f %.15f %.15f %.15f %.15f %.15f %.15f %.15f %" PRIu64 " %.15f %.15f %.15f %.15f %.15f %.15f %.15f %.15f %.15f %.15f %.15f %.15f\n", L,
T, H, n_runs,
E->x / h->nv, E->dx / h->nv, M->x / h->nv, M->dx / h->nv, E->c / h->nv, E->dc / h->nv, M->c / h->nv, M->dc / h->nv,
eE->n, eE->x / h->nv, eE->dx / h->nv, eM->x / h->nv, eM->dx / h->nv, eE->c / h->nv, eE->dc / h->nv, eM->c / h->nv, eM->dc / h->nv,
mE->n, mE->x / h->nv, mE->dx / h->nv, mM->x / h->nv, mM->dx / h->nv, mE->c / h->nv, mE->dc / h->nv, mM->c / h->nv, mM->dc / h->nv,
aM->x / h->nv, aM->dx / h->nv, aM->c / h->nv, aM->dc / h->nv);
fclose(outfile);
if (output_state) {
FILE *state_file = fopen("state.dat", "a");
for (uint32_t i = 0; i < h->nv; i++) {
fprintf(state_file, "%d ", s->spins[i]);
}
fprintf(state_file, "\n");
fclose(state_file);
}
if (record_autocorrelation) {
FILE *auto_file = fopen("autocorrelation.dat", "a");
for (uint64_t i = 0; i < n_runs + 1; i++) {
fprintf(auto_file, "%" PRIu64 " %.15f ", auto_time[i], auto_energy[i]);
}
fprintf(auto_file, "\n");
fclose(auto_file);
free(auto_time);
free(auto_energy);
}
gsl_rng_free(r);
graph_free(s->g);
free(s->spins);
free(s);
free(M);
free(aM);
free(eM);
free(mM);
free(E);
free(eE);
free(mE);
free(bond_probs);
graph_free(h);
return 0;
}
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