def test_ignored_interactions(self):
bqm = dimod.BQM.from_ising({
'a': -4.0,
'b': -4.0
}, {
('a', 'b'): 3.2,
('b', 'c'): 1
}, 1.5)
with self.assertWarns(DeprecationWarning):
sampler = ScaleComposite(
dimod.TrackingComposite(dimod.ExactSolver()))
sampleset = sampler.sample(bqm,
scalar=.5,
ignored_interactions=[('b', 'c')])
# check that everything was restored properly
dimod.testing.assert_sampleset_energies(sampleset, bqm)
self.assertEqual(
sampler.child.input['bqm'],
dimod.BQM.from_ising({
'a': -2.0,
'b': -2.0
}, {
'ab': 1.6,
'bc': 1
}, .75))
def test_sample_quadratic_range(self):
linear = {'a': -4.0, 'b': -4.0}
quadratic = {('a', 'b'): 3.2}
offset = 5
ignored_variables, ignored_interactions = _check_params(None, None)
bqm = BinaryQuadraticModel.from_ising(linear, quadratic, offset=offset)
comp_parameters = dict(ignored_interactions=ignored_interactions,
ignored_variables=ignored_variables,
quadratic_range=(-1, 2))
sampler = ScaleComposite(
ScalingChecker(ExactSolver(), bqm=bqm, **comp_parameters))
response = sampler.sample(bqm, **comp_parameters)
self.assertAlmostEqual(response.first.energy, 0.2)
comp_parameters = dict(ignored_interactions=ignored_interactions,
ignored_variables=ignored_variables,
quadratic_range=(-1, 0.4))
sampler = ScaleComposite(
ScalingChecker(ExactSolver(), bqm=bqm, **comp_parameters))
response = sampler.sample(bqm, **comp_parameters)
self.assertAlmostEqual(response.first.energy, 0.2)
def test_sample_ignore_variables(self):
linear = {'a': -4.0, 'b': -4.0}
quadratic = {('a', 'b'): 3.2}
offset = 5
bqm = BinaryQuadraticModel.from_ising(linear, quadratic, offset=offset)
ignored_variables, ignored_interactions = _check_params(
['a'], None)
comp_parameters = dict(ignored_interactions=ignored_interactions,
ignored_variables=ignored_variables,
ignore_offset=True,
scalar=0.5)
sampler = ScaleComposite(ScalingChecker(ExactSolver(), h=linear,
J=quadratic, offset=offset,
**comp_parameters))
response = sampler.sample(bqm, **comp_parameters)
self.assertAlmostEqual(response.first.energy, 0.2)
def test_ignored_offset(self):
bqm = dimod.BQM.from_ising({
'a': -4.0,
'b': -4.0
}, {('a', 'b'): 3.2}, 1.5)
sampler = ScaleComposite(dimod.TrackingComposite(dimod.ExactSolver()))
sampleset = sampler.sample(bqm, scalar=.5, ignore_offset=True)
# check that everything was restored properly
dimod.testing.assert_sampleset_energies(sampleset, bqm)
self.assertEqual(
sampler.child.input['bqm'],
dimod.BQM.from_ising({
'a': -2.0,
'b': -2.0
}, {('a', 'b'): 1.6}, 1.5))
def test_bias_range(self):
bqm = dimod.BQM.from_ising({
'a': -4.0,
'b': -4.0
}, {('a', 'b'): 3.2}, 1.5)
with self.assertWarns(DeprecationWarning):
sampler = ScaleComposite(
dimod.TrackingComposite(dimod.ExactSolver()))
sampleset = sampler.sample(bqm, bias_range=[-2, 2])
# check that everything was restored properly
dimod.testing.assert_sampleset_energies(sampleset, bqm)
self.assertEqual(
sampler.child.input['bqm'],
dimod.BQM.from_ising({
'a': -2.0,
'b': -2.0
}, {('a', 'b'): 1.6}, .75))
