modified: dataset_for_anchor.txt

anchor.py

@@ -105,15 +105,18 @@ def handle_cas(args):
             t_max = 0
             t_min = float('inf')
             for p in paths:
+                nt = p.split(':')
+                if len(nt) < 2:
+                    continue
                 # observed adoption/participant
-                nodes = p.split(':')[0].split('/')
-                time_now = int(p.split(':')[1])
+                nodes =nt[0].split('/')
+                time_now = int(nt[1])
                 if time_now > t_max:
                     t_max = time_now
                 if time_now < t_min:
                     t_min = time_now
                 node = nodes[-1]
-                node_id = int(node)
+                node_id = node
                 
                 if time_now > obs_time and obs_time != -1:
                     continue
@@ -243,7 +246,7 @@ def get_t0(args):
                 if time_now < t_min:
                     t_min = time_now
                 node = nodes[-1]
-                node_id = int(node)
+                node_id = node
                 cas_set.add(node_id) 
                 times.append(time_now)
                 counts.append(len(cas_set))
@@ -506,5 +509,3 @@ if __name__ == '__main__':
     prepare = get_t0(args)
     analyse_result(A, user_event_dict, prepare, args)
     
-    
-