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-rw-r--r--lib/include/wolff.hpp15
1 files changed, 5 insertions, 10 deletions
diff --git a/lib/include/wolff.hpp b/lib/include/wolff.hpp
index c10a211..b730c8d 100644
--- a/lib/include/wolff.hpp
+++ b/lib/include/wolff.hpp
@@ -3,7 +3,7 @@
#include "wolff/state.hpp"
template <class R_t, class X_t>
-void wolff(count_t N, state_t <R_t, X_t>& s, std::function <R_t(std::mt19937&, X_t)> gen_R, std::function <void(const state_t <R_t, X_t>&)> measurements, std::mt19937& r, bool silent) {
+void wolff(count_t N, state_t <R_t, X_t>& s, std::function <R_t(std::mt19937&, X_t)> gen_R, wolff_measurement<R_t, X_t>& m, std::mt19937& r) {
#ifdef FINITE_STATES
#ifdef NOFIELD
@@ -15,21 +15,16 @@ void wolff(count_t N, state_t <R_t, X_t>& s, std::function <R_t(std::mt19937&, X
std::uniform_int_distribution<v_t> dist(0, s.nv);
- if (!silent) printf("\n");
for (count_t steps = 0; steps < N; steps++) {
- if (!silent) printf("\033[F\033[JWOLFF: step %" PRIu64 " / %" PRIu64 ": E = %.2f, S = %" PRIv "\n", steps, N, s.E, s.last_cluster_size);
-
v_t v0 = dist(r);
R_t step = gen_R(r, s.spins[v0]);
- flip_cluster <R_t, X_t> (s, v0, step, r);
- measurements(s);
- }
+ m.pre_cluster(s, steps, N, v0, step);
+
+ flip_cluster<R_t, X_t>(s, v0, step, r, m);
- if (!silent) {
- printf("\033[F\033[J");
+ m.post_cluster(s, steps, N);
}
- printf("WOLFF: step %" PRIu64 " / %" PRIu64 ": E = %.2f, S = %" PRIv "\n", N, N, s.E, s.last_cluster_size);
}