def test_cplex_attack_routing_full_network(self):
network = MAS.load_network("data/queueing_params.mat")
k = np.where(network.new_availabilities() - 1.0 == 0.0)[0][0]
print "availabilities before attacks", np.sum(network.new_availabilities())
attack_rates = 5.0 * np.ones((network.size,))
a, routing = network.opt_attack_routing(attack_rates, k, cplex=True)
self.assertTrue(is_equal(a, network.new_availabilities()))
print "availabilities after attacks", np.sum(network.new_availabilities())
def test_cplex_attack_routing_full_network(self):
network = MAS.load_network('data/queueing_params.mat')
k = np.where(network.new_availabilities() - 1. == 0.0)[0][0]
print 'availabilities before attacks', np.sum(
network.new_availabilities())
attack_rates = 5. * np.ones((network.size, ))
a, routing = network.opt_attack_routing(attack_rates, k, cplex=True)
self.assertTrue(is_equal(a, network.new_availabilities()))
print 'availabilities after attacks', np.sum(
network.new_availabilities())
def test_load_network(self):
network = MAS.load_network("data/queueing_params.mat")
a = network.new_availabilities()
def test_load_full_network_with_adjacency(self):
network = MAS.load_network("data/queueing_params.mat")
self.assertTrue(np.sum(network.adjacency) / (network.size * network.size) < 4.0)
def test_cplex_balance_full_network(self):
# loading the full network
network = MAS.load_network("data/queueing_params.mat")
network.balance(cplex=True)
self.assertTrue(is_equal(network.new_availabilities(), np.ones((network.size,))))
def test_load_network(self):
network = MAS.load_network('data/queueing_params.mat')
a = network.new_availabilities()
def test_load_full_network_with_adjacency(self):
network = MAS.load_network('data/queueing_params.mat')
self.assertTrue(
np.sum(network.adjacency) / (network.size * network.size) < 4.)
def test_cplex_balance_full_network(self):
# loading the full network
network = MAS.load_network('data/queueing_params.mat')
network.balance(cplex=True)
self.assertTrue(
is_equal(network.new_availabilities(), np.ones((network.size, ))))
