Merge remote-tracking branch 'origin/Nalgo' into algorand

this looks fine and new way of creating networks

Nodes1.dat

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filegen.py

+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")
+
+for i in range(int(sys.argv[1])):
+    f.write(str(i)+"\n")
+    # print(i)
+f.close()
+
+
+# G = nx.Graph()
+# G=nx.complete_graph(100)
+# G1=nx.path_graph(100)
+G2=nx.erdos_renyi_graph(int(sys.argv[1]),0.1)
+# G3=nx.fast_gnp_random_graph(100,0.1)
+# G4=nx.connected_caveman_graph(100,0)
+# print(nx.is_connected(G2))
+# print(G2.edges())
+
+if nx.is_connected(G2):
+    f = open("Links1.dat", "w")
+    count = 0
+    for edge in G2.edges():
+        # print(edge)
+        # print(str(edge[0])+'\t'+str(edge[1])+'\n')
+        f.write(str(edge[0])+'\t'+str(edge[1])+'\n')
+        count += 1
+    f.close()
+
+print('Nodes: ',sys.argv[1],'Edges: ',count)
+
+# nx.draw(G)
+#
+# from igraph import Graph
+# # g = Graph.Erdos_Renyi(n=10000, m=100000)
+
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+# input_to_SHA256 = "asd"
+#
+# sha256_hash = hashlib.sha256()
+# hs = hashlib.sha256(input_to_SHA256.encode('utf-8')).hexdigest()
+#
+# # print(pow(2,256))
+#
+# print(randint(1, 51, 1))
+# print(randint(1, 51, 1))
+# print(randint(1, 51, 1))
+# print(randint(1, 51, 1))
+# print(randint(1, 51, 1))
+# print(randint(1, 51, 1))
+# print(randint(1, 51, 1))
+# print(randint(1, 51, 1))
+# print(randint(1, 51, 1))
+#