def test_api_solve_dsa():
dcop = dcop_graphcoloring_3()
# Agents
dcop.add_agents(create_agents('a', [1, 2, 3], capacity=50))
assignment = solve(dcop, 'dsa', 'adhoc', timeout=3)
def test_api_solve_dpop():
dcop = dcop_graphcoloring_3()
# Agents
dcop.add_agents(create_agents('a', [1, 2, 3], capacity=50))
assignment = solve(dcop, 'dpop', 'oneagent', timeout=3)
assert assignment['v1'] == 'R'
assert assignment['v2'] == 'G'
assert assignment['v3'] == 'R'
def test_solve_max(toy_pb):
variables, constraints = toy_pb
dcop = DCOP(name="toy",
variables={v.name: v
for v in variables},
constraints={c.name: c
for c in constraints},
objective="max")
dcop.add_agents(create_agents("a", [1, 2, 3, 4]))
assignment = solve(dcop, "syncbb", "oneagent")
# Note: this is supposed to be exactly the same pb as bellow
assert assignment == {"vA": "G", "vB": "R", "vC": "R", "vD": "G"}
def test_solve_min(toy_pb):
variables, constraints = toy_pb
dcop = DCOP(name="toy",
variables={v.name: v
for v in variables},
constraints={c.name: c
for c in constraints},
objective="min")
dcop.add_agents(create_agents("a", [1, 2, 3, 4]))
assignment = solve(dcop, "syncbb", "oneagent")
# Note: this is exactly the same pb as in the file bellow
# dcop = load_dcop_from_file(["/pyDcop/tests/instances/graph_coloring_tuto.yaml"])
assert assignment == {"vA": "G", "vB": "G", "vC": "G", "vD": "G"}