cleaning and o=improving

Network.py

@@ -34,7 +34,7 @@ class Network():
         w = randint(1, 51, 4) # 51 is excluded - range (1,50)
         self.badaW = np.sum(w)
         i = 0
-        with open('Nodes.dat', 'r') as f:
+        with open('Nodes1.dat', 'r') as f:
             reader = csv.reader(f)
             for row in reader:
                 node = row[0] # Node id
@@ -44,7 +44,7 @@ class Network():
                 # print(self.nodes.get('1')) #keys are strings
 
 
-        with open('Links.dat', 'r') as f:
+        with open('Links1.dat', 'r') as f:
             reader = csv.reader(f)
             for row in reader:
                 tup = row[0].split()

OverlayNode.py

@@ -59,6 +59,7 @@ class OverlayNode(Node):
         # Todo something is wrong here not getting correct votes back
         votes = Utility.verifySort(pk, sorthash, proof, seed, tou, role, self.network.pk_weight_map.get(pk), self.network.badaW)
         print("why votes be zero")
+        print(votes,"\t",value,"\t",sorthash)
         return votes,value,sorthash
         pass
 
@@ -73,7 +74,6 @@ class OverlayNode(Node):
             # print(round, " # ",step )
             if  msg_round== round and msg_step==step : #check if message belong to current round and current step or not
                 votes,value,sorthash = self.algo_processMsg(msg,tou)
-                print("votes : ",votes)
                 if msg_pk in voters  or votes == 0:
                     print(self.id + " continuing")
                     continue

filegen.py

@@ -2,7 +2,6 @@ import hashlib
 from numpy.random import randint
 import sys
 import networkx as nx
-import matplotlib.pyplot as plt
 from networkx.algorithms import community
 
 f = open("Nodes1.dat", "w")