balancing_mod.py

# # #balance_scratch adaptive_balancing R1


# # #global

# import networkx as nx
# from Graphs import *
# from random import random

# A = GridGraph(10,[0,99])
# A.show_graph()
# A.add_graph()

# for u,v in A.G.edges:
# 	A.G[u][v]["perturbed_weight"] = 1+random()/1000
# print(len(A.shortest_path(0,99)))





# # import networkx as nx
# # import random

# # # random.seed(42)

# # city_graph = A.G #nx.complete_graph(10)

# # for u,v in A.G.edges:
# # 	print(u,v)
# # 	A.G[u][v]["custom_length"] = 1+ random.randint(1, 10)/10000

# # print(list(city_graph.edges(data=True)))
# # # (0, 1, {'custom_length': 2})