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test.py
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test.py
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import networkx as nx
from dc_checking.dc_be import check_dc_bucket_elimination, eliminate, DCCheckerBE
from dc_checking.dc_milp import DCCheckerMILP
from dc_checking.temporal_network import SimpleTemporalConstraint, SimpleContingentTemporalConstraint, TemporalNetwork
def test_simple_bucket_elim():
g = nx.MultiDiGraph()
g.add_nodes_from(['e1', 'e2', 'e3'])
g.add_edges_from([('e1', 'e2', {'label': None, 'labelType': None, 'weight': 5}),
('e1', 'e3', {'label': 'e3', 'labelType': 'lower', 'weight': 0}),
('e3', 'e1', {'label': 'e3', 'labelType': 'upper', 'weight': -5})])
feasible, conflict, order = check_dc_bucket_elimination(g)
assert(feasible)
assert(conflict == None)
assert(order.index('e3') < order.index('e1'))
def test_temporal_network():
c1 = SimpleTemporalConstraint('e1', 'e2', 1, 3, 'c1')
c2 = SimpleContingentTemporalConstraint('e2', 'e3', 2, 3)
network = TemporalNetwork([c1, c2])
# print(network)
# print(network.get_constraints())
# print(network.get_events())
network.remove_event('e2')
assert(len(network.get_constraints()) == 0)
assert(len(network.get_events()) == 0)
network.add_constraints([c1, c2])
network.remove_event('e2', remove_constraints=True, remove_unconnected_events=False)
assert(len(network.get_constraints()) == 0)
assert(len(network.get_events()) == 2)
network.add_constraints([c1, c2])
network.remove_constraint('c1')
assert(len(network.get_constraints()) == 1)
network.remove_constraint(c2)
assert(len(network.get_constraints()) == 0)
assert(len(network.get_events()) == 0)
network.add_constraint(c1)
network.remove_constraint(c1, remove_events=False)
assert(len(network.get_events()) == 2)
network.remove_event('e1', remove_constraints=False)
assert(len(network.get_events()) == 1)
network = TemporalNetwork([c1, c2])
checker = DCCheckerBE(network)
ldg = checker.to_ldg()
# print(ldg.nodes())
# print(ldg.edges(data=True))
assert(len(ldg.nodes()) == 4)
assert(len(ldg.edges(data=True)) == 6)
feasible, conflict = checker.is_controllable()
assert(feasible)
def test_tightest():
c1 = SimpleTemporalConstraint('e1', 'e2', 3, 5, 'c1')
c2 = SimpleTemporalConstraint('e3', 'e2', 4, 7, 'c2')
c3 = SimpleTemporalConstraint('e1', 'e3', None, 3, 'c3')
c4 = SimpleTemporalConstraint('e1', 'e3', None, 7, 'c4')
network = TemporalNetwork([c1, c2, c3, c4])
checker = DCCheckerBE(network)
ldg = checker.to_ldg()
assert(len(ldg.edges()) == 6)
feasible, nc = eliminate(ldg, 'e2')
assert(len(ldg.edges()) == 2)
def test_next_node():
g = nx.MultiDiGraph()
g.add_nodes_from(['e1', 'e2', 'e3'])
g.add_edges_from([('e1', 'e2', {'label': None, 'labelType': None, 'weight': 5}),
('e2', 'e3', {'label': None, 'labelType': None, 'weight': 3}),
('e1', 'e3', {'label': 'e3', 'labelType': 'lower', 'weight': 0}),
('e3', 'e1', {'label': 'e3', 'labelType': 'upper', 'weight': -5})])
feasible, conflict, order = check_dc_bucket_elimination(g)
assert(feasible)
assert(conflict == None)
assert(order == ['e3', 'e2', 'e1'])
def test_next_node_nc():
g = nx.MultiDiGraph()
g.add_nodes_from(['e1', 'e2', 'e3', 'e4'])
g.add_edges_from([('e1', 'e2', {'label': None, 'labelType': None, 'weight': -1}),
('e1', 'e4', {'label': None, 'labelType': None, 'weight': -2}),
('e2', 'e3', {'label': None, 'labelType': None, 'weight': 0}),
('e1', 'e3', {'label': 'e3', 'labelType': 'lower', 'weight': 0}),
('e3', 'e1', {'label': 'e3', 'labelType': 'upper', 'weight': -5})])
feasible, conflict, order = check_dc_bucket_elimination(g, full_conflict=False)
assert(not feasible)
assert(len(conflict) == 2)
assert(order == ['e3'])
g = nx.MultiDiGraph()
g.add_nodes_from(['e4', 'e3', 'e2', 'e1'])
g.add_edges_from([('e1', 'e2', {'label': None, 'labelType': None, 'weight': -1}),
('e1', 'e4', {'label': None, 'labelType': None, 'weight': -2}),
('e2', 'e3', {'label': None, 'labelType': None, 'weight': -1}),
('e1', 'e3', {'label': 'e3', 'labelType': 'lower', 'weight': 0}),
('e3', 'e1', {'label': 'e3', 'labelType': 'upper', 'weight': -5})])
feasible, conflict, order = check_dc_bucket_elimination(g, full_conflict=False)
assert(not feasible)
assert(len(conflict) == 3)
assert(order == [])
def test_conflict():
g = nx.MultiDiGraph()
g.add_nodes_from(['e1', 'e2', 'e3', 'e4', 'e5', 'e6'])
g.add_edges_from([('e1', 'e5', {'label': None, 'labelType': None, 'weight': 6}),
('e5', 'e6', {'label': None, 'labelType': None, 'weight': -4}),
('e6', 'e2', {'label': None, 'labelType': None, 'weight': -3}),
('e1', 'e4', {'label': None, 'labelType': None, 'weight': -2}),
('e2', 'e3', {'label': None, 'labelType': None, 'weight': 0}),
('e1', 'e3', {'label': 'e3', 'labelType': 'lower', 'weight': 0}),
('e3', 'e1', {'label': 'e3', 'labelType': 'upper', 'weight': -5})])
feasible, conflict, order = check_dc_bucket_elimination(g, full_conflict=True)
assert(not feasible)
assert(len(conflict) == 1)
assert(len(conflict[0]) == 5)
assert('e3' in order)
assert(order.index('e5') < order.index('e6'))
g = nx.MultiDiGraph()
g.add_nodes_from(['e1', 'e2', 'e3', 'e4', 'e5', 'e6'])
g.add_edges_from([('e1', 'e5', {'label': 'e5', 'labelType': 'lower', 'weight': 6}),
('e5', 'e6', {'label': None, 'labelType': None, 'weight': -4}),
('e6', 'e2', {'label': None, 'labelType': None, 'weight': -3}),
('e1', 'e4', {'label': None, 'labelType': None, 'weight': -2}),
('e2', 'e3', {'label': None, 'labelType': None, 'weight': 0}),
('e1', 'e3', {'label': 'e3', 'labelType': 'lower', 'weight': 0}),
('e3', 'e1', {'label': 'e3', 'labelType': 'upper', 'weight': -5})])
feasible, conflict, order = check_dc_bucket_elimination(g, full_conflict=True)
assert(not feasible)
assert(len(conflict) == 2)
assert(len(conflict[0]) == 5)
assert(len(conflict[1]) == 3)
assert('e3' in order)
assert(order.index('e5') < order.index('e6'))
def test_milp_preprocess():
# A ===> B ====> C ---> D ====> E ----> F
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 2, 5, 'c1')
c2 = SimpleContingentTemporalConstraint('e2', 'e3', 2, 5, 'c2')
c3 = SimpleTemporalConstraint('e3', 'e4', 2, 5, 'c3')
c4 = SimpleContingentTemporalConstraint('e4', 'e5', 2, 5, 'c4')
c5 = SimpleTemporalConstraint('e5', 'e6', 2, 5, 'c5')
network = TemporalNetwork([c1, c2, c3, c4, c5])
checker = DCCheckerMILP(network)
processed_network = checker.preprocess_network(network)
assert(len(processed_network.get_constraints()) == 6)
assert(len(network.get_constraints()) == 5)
feasible, _ = checker.is_controllable()
assert(feasible)
def test_dc_0():
c1 = SimpleTemporalConstraint('e1', 'e2', 2, 5, 'c1')
c2 = SimpleContingentTemporalConstraint('e3', 'e2', 4, 7, 'c2')
network = TemporalNetwork([c1, c2])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
c1 = SimpleTemporalConstraint('e1', 'e2', 3, 5, 'c1')
c2 = SimpleContingentTemporalConstraint('e3', 'e2', 4, 7, 'c2')
network = TemporalNetwork([c1, c2])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
assert(len(conflict) == 2)
assert(len(conflict[0]) == 3)
assert(len(conflict[1]) == 1)
assert([c1, 'UB+'] in conflict[0])
assert([c1, 'LB-'] in conflict[0])
assert([c2, 'UB-', 'LB+'] in conflict[0])
assert([c1, 'LB-'] in conflict[1])
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
def test_dc_1():
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 20, 30, 'c1')
c2 = SimpleTemporalConstraint('e2', 'e3', 40, 45, 'c2')
c3 = SimpleTemporalConstraint('e1', 'e3', 0, 50, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
assert(len(conflict) == 1)
assert(len(conflict[0]) == 4)
assert([c3, 'UB+'] in conflict[0])
assert([c2, 'LB-'] in conflict[0])
assert([c1, 'UB-', 'LB+'] in conflict[0])
assert([c1, 'LB-'] in conflict[0])
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 5, 30, 'c1')
c2 = SimpleTemporalConstraint('e2', 'e3', 40, 45, 'c2')
c3 = SimpleTemporalConstraint('e1', 'e3', 0, 50, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
assert(len(conflict) == 1)
assert(len(conflict[0]) == 4)
assert([c3, 'UB+'] in conflict[0])
assert([c2, 'LB-'] in conflict[0])
assert([c1, 'UB-', 'LB+'] in conflict[0])
assert([c1, 'LB-'] in conflict[0])
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 5, 10, 'c1')
c2 = SimpleTemporalConstraint('e2', 'e3', 40, 45, 'c2')
c3 = SimpleTemporalConstraint('e1', 'e3', 0, 50, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
def test_dc_2():
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 5, 30, 'c1')
c2 = SimpleTemporalConstraint('e3', 'e2', 1, 1, 'c2')
network = TemporalNetwork([c1, c2])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
def test_dc_3():
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 3, 100000, 'c1')
c2 = SimpleTemporalConstraint('e2', 'e3', -1, 100000, 'c2')
c3 = SimpleContingentTemporalConstraint('e3', 'e4', 1, 5.5, 'c3')
c4 = SimpleTemporalConstraint('e4', 'e5', 0, None, 'c4')
c5 = SimpleContingentTemporalConstraint('e5', 'e6', 10, 14.5, 'c5')
c6 = SimpleTemporalConstraint('e6', 'e7', 0, 100000, 'c6')
c7 = SimpleTemporalConstraint('e2', 'e7', 5, 18, 'c7')
network = TemporalNetwork([c1, c2, c3, c4, c5, c6, c7])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
def test_dc_4():
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 1, 10, 'c1')
c2 = SimpleTemporalConstraint('e3', 'e2', 1, 2, 'c2')
c3 = SimpleContingentTemporalConstraint('e1', 'e3', 1, 8, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 0, 10, 'c1')
c2 = SimpleTemporalConstraint('e3', 'e2', 0, 2, 'c2')
c3 = SimpleContingentTemporalConstraint('e1c', 'e3', 0, 8, 'c3')
c4 = SimpleTemporalConstraint('e1', 'e1c', 0, 0, 'c4')
network = TemporalNetwork([c1, c2, c3, c4])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 0, 10, 'c1')
c2 = SimpleTemporalConstraint('e3', 'e2', 0, 2, 'c2')
c3 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 8, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 1, 10, 'c1')
c2 = SimpleTemporalConstraint('e3', 'e2', 1, 2, 'c2')
c3 = SimpleTemporalConstraint('e1', 'e3', 1, 8, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
def test_dc_5():
c1 = SimpleTemporalConstraint('e1', 'e2', 1, 8, 'c1')
c2 = SimpleTemporalConstraint('e2', 'e3', 1, 2, 'c2')
c3 = SimpleContingentTemporalConstraint('e1', 'e3', 1, 10, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
def test_dc_6():
c1 = SimpleContingentTemporalConstraint('e1', 'e5', 0.6294, 18.8554, 'c1')
c2 = SimpleTemporalConstraint('e1', 'e2', 1, 100, 'c2')
c3 = SimpleTemporalConstraint('e2', 'e5', 0, 100, 'c3')
c4 = SimpleTemporalConstraint('e2', 'e3', 1, 100, 'c4')
c5 = SimpleTemporalConstraint('e3', 'e4', 1.5, 100, 'c5')
c6 = SimpleTemporalConstraint('e1', 'e4', 1, 3.5, 'c6')
network = TemporalNetwork([c1, c2, c3, c4, c5, c6])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
def test_dc_7():
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 3, 3.5, 'c1')
c2 = SimpleTemporalConstraint('e1', 'e2', 4, 6, 'c2')
c3 = SimpleTemporalConstraint('e1', 'e2', 2, 3.5, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
def test_dc_8():
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 0, 2, 'c1')
c2 = SimpleContingentTemporalConstraint('e3', 'e4', 0, 3, 'c2')
c3 = SimpleTemporalConstraint('e4', 'e2', -1, 3, 'c3')
c4 = SimpleTemporalConstraint('e5', 'e2', 2, 4, 'c4')
network = TemporalNetwork([c1, c2, c3, c4])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
def test_dc_9():
c1 = SimpleContingentTemporalConstraint('e1', 'e2', 0, 1, 'c1')
c2 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 1, 'c2')
c3 = SimpleTemporalConstraint('e2', 'e4', 0, 0, 'c3')
c4 = SimpleTemporalConstraint('e3', 'e4', 0, 0, 'c4')
network = TemporalNetwork([c1, c2, c3, c4])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
def test_dc_10():
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 4, 'c1')
c2 = SimpleTemporalConstraint('e1', 'e2', 0, 2, 'c2')
c3 = SimpleTemporalConstraint('e2', 'e3', 0, 2, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
def test_dc_11():
# A =======[0,10]=====> C
# B --[0,2]--/
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 10, 'c1')
c2 = SimpleTemporalConstraint('e2', 'e3', 0, 2, 'c2')
network = TemporalNetwork([c1, c2])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
# A =======[0,10]=====> C
# B --[1,2]--/
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 10, 'c1')
c2 = SimpleTemporalConstraint('e2', 'e3', 1, 2, 'c2')
network = TemporalNetwork([c1, c2])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
# A =======[0,10]=====> C
# \--[8,*)->B--[0,2]--/
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 10, 'c1')
c2 = SimpleTemporalConstraint('e2', 'e3', 0, 2, 'c2')
c3 = SimpleTemporalConstraint('e1', 'e2', 8, None, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
# A =======[0,10]=====> C
# \--[0,8]->B--[0,2]--/
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 10, 'c1')
c2 = SimpleTemporalConstraint('e2', 'e3', 0, 2, 'c2')
c3 = SimpleTemporalConstraint('e1', 'e2', 0, 8, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
# A =======[0,10]=====> C
# \==[0,8]=>B--[0,2]--/
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 10, 'c1')
c2 = SimpleTemporalConstraint('e2', 'e3', 0, 2, 'c2')
c3 = SimpleContingentTemporalConstraint('e1', 'e2', 0, 8, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
# A =======[0,10]=====> C
# \A'==[0,8]=>B-[0,2]-/
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 10, 'c1')
c2 = SimpleTemporalConstraint('e2', 'e3', 0, 2, 'c2')
c3 = SimpleContingentTemporalConstraint('e1c', 'e2', 0, 8, 'c3')
c4 = SimpleTemporalConstraint('e1', 'e1c', 0, 0, 'c4')
network = TemporalNetwork([c1, c2, c3, c4])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
# A =======[0,10]=====> C
# \==[0,8]=>B
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 10, 'c1')
c2 = SimpleContingentTemporalConstraint('e1', 'e2', 0, 8, 'c3')
network = TemporalNetwork([c1, c2])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
# A =======[0,10]=====> C ---[0,2]--> B
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 10, 'c1')
c2 = SimpleTemporalConstraint('e3', 'e2', 0, 2, 'c2')
network = TemporalNetwork([c1, c2])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
# A =======[0,10]=====> C ===[0,2]==> B
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 10, 'c1')
c2 = SimpleContingentTemporalConstraint('e3', 'e2', 0, 2, 'c2')
network = TemporalNetwork([c1, c2])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
# A =======[2,10]=====> C ===[1,2]==> B
# \==[0,3]==> D
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 2, 10, 'c1')
c2 = SimpleContingentTemporalConstraint('e3', 'e2', 1, 2, 'c2')
c3 = SimpleContingentTemporalConstraint('e3', 'e4', 0, 3, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
def test_dc_12():
"""
Checker should be able to handle contingent links with lb == ub
"""
# A =======[10,10]=====> C
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 10, 10, 'c1')
network = TemporalNetwork([c1])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
# A =======[0,0]=====> C
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 0, 0, 'c1')
network = TemporalNetwork([c1])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
# A =======[7,7]=====> C
# \--[0,2]->B--[0,5]--/
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 7, 7, 'c1')
c2 = SimpleTemporalConstraint('e1', 'e2', 0, 2, 'c2')
c3 = SimpleTemporalConstraint('e2', 'e3', 0, 5, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
# A =======[7,7]=====> C
# \--[0,1]->B--[0,5]--/
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 7, 7, 'c1')
c2 = SimpleTemporalConstraint('e1', 'e2', 0, 1, 'c2')
c3 = SimpleTemporalConstraint('e2', 'e3', 0, 5, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
# A =======[7,7]=====> C
# \--[2,2]->B--[5,5]--/
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 7, 7, 'c1')
c2 = SimpleTemporalConstraint('e1', 'e2', 2, 2, 'c2')
c3 = SimpleTemporalConstraint('e2', 'e3', 5, 5, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
# A =======[7,7]=====> C
# \==[2,2]=>B--[5,5]--/
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 7, 7, 'c1')
c2 = SimpleContingentTemporalConstraint('e1', 'e2', 2, 2, 'c2')
c3 = SimpleTemporalConstraint('e2', 'e3', 5, 5, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(feasible)
# A =======[7,7]=====> C
# \==[2,3]=>B--[5,5]--/
c1 = SimpleContingentTemporalConstraint('e1', 'e3', 7, 7, 'c1')
c2 = SimpleContingentTemporalConstraint('e1', 'e2', 2, 3, 'c2')
c3 = SimpleTemporalConstraint('e2', 'e3', 5, 5, 'c3')
network = TemporalNetwork([c1, c2, c3])
checker = DCCheckerBE(network)
feasible, conflict = checker.is_controllable()
assert(not feasible)
checker = DCCheckerMILP(network)
feasible, _ = checker.is_controllable()
assert(not feasible)
test_simple_bucket_elim()
test_temporal_network()
test_tightest()
test_next_node()
test_next_node_nc()
test_conflict()
test_milp_preprocess()
test_dc_0()
test_dc_1()
test_dc_2()
test_dc_3()
test_dc_4()
test_dc_5()
test_dc_6()
test_dc_7()
test_dc_8()
test_dc_9()
test_dc_10()
test_dc_11()
test_dc_12()
print("All tests passed.")