def createRandomCompleteWeightedGraph(n):
g = WeightedGraph()
for i in range(1, n + 1):
g.addNode(createLabel(i))
nodes = g.getAllNodes()
for i in nodes:
x = nodes.index(i)
suggested = nodes[:x] + nodes[x + 1:]
for j in suggested:
randomWeight = randint(1, 15)
g.addDirectedEdge(i, j, randomWeight)
return g
def createRandomCompleteWeightedGraph(n): g = WeightedGraph() for i in range(1,n+1): g.addNode(createLabel(i)) nodes = g.getAllNodes() for i in nodes: x = nodes.index(i) # Make a list including all values but the current suggestedList = nodes[:x]+nodes[x+1:] for j in suggestedList: randomWeight = randint(1, 15) g.addDirectedEdge(i, j, randomWeight) return g
