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#include <random>
#include <iostream>
#include <cholmod.h>
#include "randutils/randutils.hpp"
#include <graph.hpp>
#include <network.hpp>
#include <hooks.hpp>
#include "animate.hpp"
#include <csignal>
#include <cstring>
#include <atomic>
int main(int argc, char* argv[]) {
int opt;
unsigned N = 1;
unsigned Lx = 16;
unsigned Ly = 16;
double beta = 0.5;
unsigned n = 128;
double a = 1.0;
bool use_aN = false;
double w = 0.5;
unsigned width = 800;
while ((opt = getopt(argc, argv, "N:X:Y:b:n:a:w:W:")) != -1) {
switch (opt) {
case 'N':
N = (unsigned)atof(optarg);
break;
case 'X':
Lx = atoi(optarg);
break;
case 'Y':
Ly = atoi(optarg);
break;
case 'b':
beta = atof(optarg);
break;
case 'n':
n = (unsigned)atof(optarg);
use_aN = true;
break;
case 'a':
a = atof(optarg);
use_aN = true;
break;
case 'w':
w = atof(optarg);
break;
case 'W':
width = atoi(optarg);
break;
default:
exit(1);
}
}
cholmod_common c;
CHOL_F(start)(&c);
randutils::auto_seed_128 seeds;
std::mt19937 rng{seeds};
if (use_aN) {
animate meas(sqrt(2*n *a), sqrt( 2*n / a), width, argc, argv);
for (unsigned trial = 0; trial < N; trial++) {
graph G(n, a, rng);
elastic_network net(G, &c, w);
net.set_thresholds(beta, rng);
net.fracture(meas);
}
} else {
animate meas(Lx, Ly, width, argc, argv);
const graph G(Lx, Ly);
const elastic_network plain_net(G, &c, w);
for (unsigned trial = 0; trial < N; trial++) {
elastic_network net = plain_net;
net.set_thresholds(beta, rng);
net.fracture(meas);
}
}
CHOL_F(finish)(&c);
return 0;
}
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