def getErdosRenyiGraph(n, k, directed = False, weighted = False, connected = True):
if not connected:
return random_graphs.getRandomGraphs(1, n, k, directed = directed, weighted = weighted)[0]
gr = graph.graph.graph(directed = directed, weighted = weighted)
while True:
el = random_graphs.getRandomGraphs(1, n, k, directed = directed, weighted = weighted)[0]
gr.create(el, n)
if not algorithms.connectivity.connectivity.isGraphConnected(gr):
gr.reset()
continue
return el
def getSeedGraphs(num, params):
# Need to remove the hardcoded '7'. Could have more or less params.
# Also, better validation needs to be done for the params.
params = params.split()
if len(params) < 7:
return None
directed = False
if params[0] == '1':
directed = True
n = int(params[1])
p = int(params[2])
epn = int(params[3])
k = int(params[4])
alpha = float(params[5])
weighted = False
if params[6] == 'w':
weighted = True
seedgraphs = None
seedgraphs = random_graphs.getRandomGraphs(num, n, k, p, epn, -1, directed, weighted)
#seedgraphs = random_graphs.getRandomGraphs(num, n, k)
#if not directed:
#seedgraphs = random_graphs.getRandomGraphs(int(num * 0.99), n, k, p, epn, -1, directed, weighted)
#specialseeds = random_graphs.getRandomGraphs(int(num * 0.01), n, k, p, epn, alpha, directed, weighted)
#seedgraphs.extend(specialseeds)
#print 'initialized'
#seedgraphs = random_graphs.getRandomGraphs(num, n, k, p, epn, alpha, directed, weighted)
#else:
# seedgraphs = random_graphs.getRandomGraphs(num, n, k, p, epn, -1, directed, weighted)
return seedgraphs
def computeBestAcon(argv):
n = int(argv[1])
rgs = random_graphs.getRandomGraphs(1000, n, n - 1)
tcosts = computeTransitionCosts(rgs, n)
for tcost in tcosts:
print tcost
print len(tcosts)
return
