def test_kwargs(self):
bqm = dimod.BinaryQuadraticModel({}, {}, 0.0, dimod.SPIN)
with self.assertWarns(SamplerUnknownArgWarning):
sampleset = dimod.ExactSolver().sample(bqm, a=1, b="abc")
dqm = dimod.DiscreteQuadraticModel()
with self.assertWarns(SamplerUnknownArgWarning):
sampleset = dimod.ExactDQMSolver().sample_dqm(dqm, a=1, b="abc")
def test_arbitrary_labels(self):
bqm = dimod.BQM.from_ising({}, {'ab': -1})
sampleset = dimod.ExactSolver().sample(bqm)
self.assertEqual(set(sampleset.variables), set(bqm.variables))
dqm = dimod.DQM.from_numpy_vectors([0], [-1], ([], [], []),
labels={'ab'})
sampleset = dimod.ExactDQMSolver().sample_dqm(dqm)
self.assertEqual(set(sampleset.variables), set(dqm.variables))
def test_sample_DISCRETE(self):
dqm = dimod.DiscreteQuadraticModel.from_numpy_vectors(
case_starts=[0, 3],
linear_biases=[0, 1, 2, 0, 1, 2, 3, 4, 5],
quadratic=([5, 5, 5, 7, 7, 7], [0, 1, 2, 0, 1,
2], [0, 1, 2, 1, 2, 3]))
response = dimod.ExactDQMSolver().sample_dqm(dqm)
# every possible combination should be present
self.assertEqual(len(response), 18)
self.assertEqual(response.record.sample.shape,
(18, dqm.num_variables()))
#confirm vartype
self.assertIs(response.vartype, dimod.DISCRETE)
dimod.testing.assert_sampleset_energies_dqm(response, dqm)
def test_sample_DISCRETE_empty(self):
dqm = dimod.DiscreteQuadraticModel()
response = dimod.ExactDQMSolver().sample_dqm(dqm)
self.assertEqual(response.record.sample.shape, (0, 0))
self.assertIs(response.vartype, dimod.DISCRETE)