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+
+#include <iostream>
+#include <chrono>
+
+#include <wolff.hpp>
+
+using namespace wolff;
+
+class ising_t {
+ public:
+ int s;
+
+ ising_t() : s(1) {};
+ ising_t(int i) : s(i) {};
+
+ ising_t act(const ising_t& x) const {
+ return ising_t(s * x.s);
+ }
+
+ ising_t act_inverse(const ising_t& x) const {
+ return this->act(x);
+ }
+};
+
+class measure_clusters : public measurement<ising_t, ising_t> {
+ public:
+ v_t C;
+ double Ctotal;
+
+ measure_clusters() {
+ Ctotal = 0;
+ }
+
+ void pre_cluster(N_t, N_t, const system<ising_t, ising_t>&, v_t, const ising_t&) {
+ C = 0;
+ }
+
+ void plain_bond_visited(const system<ising_t, ising_t>&, v_t, const ising_t&, v_t, double dE) {}
+
+ void ghost_bond_visited(const system<ising_t, ising_t>&, v_t, const ising_t& s_old, const ising_t& s_new, double dE) {}
+
+ void plain_site_transformed(const system<ising_t, ising_t>&, v_t, const ising_t&) {
+ C++;
+ }
+
+ void ghost_site_transformed(const system<ising_t, ising_t>&, const ising_t&) {}
+
+ void post_cluster(N_t, N_t, const system<ising_t, ising_t>&) {
+ Ctotal += C;
+ }
+};
+
+int main(int argc, char *argv[]) {
+
+ // set defaults
+ N_t N = (N_t)1e3;
+ D_t D = 2;
+ L_t L = 128;
+ double T = 2.26918531421;
+ double H = 0.01;
+
+ // define the spin-spin coupling
+ std::function <double(const ising_t&, const ising_t&)> Z = [] (const ising_t& s1, const ising_t& s2) -> double {
+ return (double)(s1.s * s2.s);
+ };
+
+ // define the spin-field coupling
+ std::function <double(const ising_t&)> B = [=] (const ising_t& s) -> double {
+ return H * s.s;
+ };
+
+ // initialize the lattice
+ graph G(D, L);
+
+ // initialize the system
+ system<ising_t, ising_t> S(G, T, Z, B);
+
+ // define function that generates self-inverse rotations
+ std::function <ising_t(std::mt19937&, const system<ising_t, ising_t>&, v_t)> gen_R = [] (std::mt19937&, const system<ising_t, ising_t>&, v_t) -> ising_t {
+ return ising_t(-1);
+ };
+
+ // initailze the measurement object
+ measure_clusters A;
+
+ // initialize the random number generator
+ auto seed = std::chrono::high_resolution_clock::now().time_since_epoch().count();
+ std::mt19937 rng{seed};
+
+ // run wolff N times
+ S.run_wolff(N, gen_R, A, rng);
+
+ // print results
+ std::cout << "The average cluster size per site was " << (A.Ctotal / N) / S.nv << ".\n";
+
+ // exit
+ return 0;
+}
+