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#include <fstream>
#include "rbmp.hpp"
int main(int argc, char* argv[]) {
unsigned n = 100;
unsigned m = 100;
int opt;
while ((opt = getopt(argc, argv, "n:m:")) != -1) {
switch (opt) {
case 'n':
n = atoi(optarg);
break;
case 'm':
m = (unsigned)atof(optarg);
break;
default:
exit(1);
}
}
Rng r;
AztecDiamond G(n);
#pragma omp declare reduction(vec_int_plus : std::vector<long int> : \
std::transform(omp_out.begin(), omp_out.end(), omp_in.begin(), omp_out.begin(), std::plus<long int>())) \
initializer(omp_priv = decltype(omp_orig)(omp_orig.size()))
std::vector<long int> data_x(G.vertices.size());
std::vector<long int> data_y(G.vertices.size());
std::string filename = "order_" + std::to_string(n) + ".dat";
std::ifstream input(filename);
if (input.is_open()) {
for (unsigned i = 0; i < G.vertices.size(); i++) {
input >> data_x[i];
input >> data_y[i];
}
input.close();
}
#pragma omp parallel for reduction(vec_int_plus : data_x) reduction(vec_int_plus : data_y)
for (unsigned i = 0; i < m; i++) {
PerfectMatching pm(G.vertices.size(), G.edges.size());
for (const AztecDiamond::Edge& e : G.edges) {
pm.AddEdge(e.head->index, e.tail->index, r.variate<double, std::exponential_distribution>(1));
}
pm.options.verbose = false;
pm.Solve();
for (unsigned i = 0; i < G.vertices.size() / 2; i++) {
unsigned j = pm.GetMatch(i);
data_x[i] += G.vertices[i].coordinate[0];
data_y[i] += G.vertices[i].coordinate[1];
data_x[i] -= G.vertices[j].coordinate[0];
data_y[i] -= G.vertices[j].coordinate[1];
data_x[j] += G.vertices[i].coordinate[0];
data_y[j] += G.vertices[i].coordinate[1];
data_x[j] -= G.vertices[j].coordinate[0];
data_y[j] -= G.vertices[j].coordinate[1];
}
}
std::ofstream output(filename);
for (unsigned i = 0; i < G.vertices.size(); i++) {
output << data_x[i] << " " << data_y[i] << std::endl;
}
output.close();
return 0;
}
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