def create_random_dag(size):
G = nx.DiGraph()
nodes = range(size)
G.add_nodes_from(nodes)
for i in xrange(size):
distribution = utilities.get_circular_distribution(size - i - 1)
for j, probability in zip(xrange(i + 1, size), distribution):
G.add_edge(nodes[i], nodes[j], prob = probability)
return G
def test_pick_from_distr(self):
d = mc.pick_from_distr(mc.get_circular_distribution(5))
self.assertGreaterEqual(d, 0)
self.assertLess(d, 5)
def test_get_circular_distribution(self):
distribution = mc.get_circular_distribution(5)
self.assertEqual(len(distribution), 5)
self.assertAlmostEqual(sum(distribution), 1.0)
self.assertTrue(all([x > 0.0 for x in distribution]), "All elements from distribution should be greater than 0.0")