simplified random graph creation to only use uniform voronoi sites

2 files changed, 4 insertions, 12 deletions

diff --git a/src/animate_fracture.cpp b/src/animate_fracture.cpp
index 62c5b1e..9ae79cc 100644
--- a/src/animate_fracture.cpp
+++ b/src/animate_fracture.cpp
@@ -34,9 +34,8 @@ int main(int argc, char* argv[]) {
   double Lx = 16.0;
   double Ly = 16.0;
   double  beta = 0.5;
-  double w = 0.01;
 
-  while ((opt = getopt(argc, argv, "X:Y:N:b:w:")) != -1) {
+  while ((opt = getopt(argc, argv, "X:Y:N:b:")) != -1) {
     switch (opt) {
       case 'N':
         N = (unsigned int)atof(optarg);
@@ -50,9 +49,6 @@ int main(int argc, char* argv[]) {
       case 'b':
         beta = atof(optarg);
         break;
-      case 'w':
-        w = atof(optarg);
-        break;
       default:
         exit(1);
     }
@@ -67,7 +63,7 @@ int main(int argc, char* argv[]) {
   std::mt19937 rng{seeds};
 
   for (unsigned int trial = 0; trial < N; trial++) {
-    graph G(Lx, Ly, rng, w);
+    graph G(Lx, Ly, rng);
     network network(G, &c);
     network.set_thresholds(beta, rng);
     network.fracture(meas);
diff --git a/src/fracture.cpp b/src/fracture.cpp
index 47b4856..3505166 100644
--- a/src/fracture.cpp
+++ b/src/fracture.cpp
@@ -34,9 +34,8 @@ int main(int argc, char* argv[]) {
   double Lx = 16;
   double Ly = 16;
   double  beta = 0.5;
-  double w = 0.01;
 
-  while ((opt = getopt(argc, argv, "N:X:Y:b:w:")) != -1) {
+  while ((opt = getopt(argc, argv, "N:X:Y:b:")) != -1) {
     switch (opt) {
       case 'N':
         N = (unsigned int)atof(optarg);
@@ -50,9 +49,6 @@ int main(int argc, char* argv[]) {
       case 'b':
         beta = atof(optarg);
         break;
-      case 'w':
-        w = atof(optarg);
-        break;
       default:
         exit(1);
     }
@@ -69,7 +65,7 @@ int main(int argc, char* argv[]) {
   for (unsigned int trial = 0; trial < N; trial++) {
     while (true) {
       try {
-        graph G(Lx, Ly, rng, w);
+        graph G(Lx, Ly, rng);
         network network(G, &c);
         network.set_thresholds(beta, rng);
         network.fracture(meas);