def test_simple_complete_graph_sample_ising(self):
"""sample_ising on a K4."""
K4 = VirtualGraphComposite(self.sampler,
embedding={
0: {0, 4},
1: {1, 5},
2: {2, 6},
3: {3, 7}
},
flux_biases=False)
K4.sample_ising({0: .1, 1: .2}, {(0, 1): 1.5})
def test_smoke(self):
child_sampler = MockDWaveSampler()
sampler = VirtualGraphComposite(child_sampler, {'a': [0]},
flux_bias_num_reads=1)
# depending on how recenlty flux bias data was gathered, this may be true
child_sampler.flux_biases_flag = False
if sampler.flux_biases:
sampler.sample_ising({'a': -1}, {})
self.assertTrue(
child_sampler.flux_biases_flag
) # true when some have been provided to sample_ising
def test_construction(self):
child_sampler = DWaveSampler()
# get an embedding
K10_edges = list(itertools.combinations(range(10), 2))
embedding = minorminer.find_embedding(K10_edges,
child_sampler.edgelist)
sampler = VirtualGraphComposite(child_sampler, embedding)
dtest.assert_sampler_api(sampler)
h = {}
J = {edge: -1 for edge in K10_edges}
sampler.sample_ising(h, J)
sampler.sample_ising(h, J, apply_flux_bias_offsets=False)
def test_construction(self):
child_sampler = self.qpu
# get an embedding
K10_edges = list(itertools.combinations(range(10), 2))
embedding = minorminer.find_embedding(K10_edges,
child_sampler.edgelist)
sampler = VirtualGraphComposite(child_sampler,
embedding,
flux_bias_num_reads=10)
dtest.assert_sampler_api(sampler)
h = {}
J = {edge: -1 for edge in K10_edges}
# run with fbo
sampler.sample_ising(h, J).resolve()
# and again without
sampler.sample_ising(h, J, apply_flux_bias_offsets=False).resolve()
def test_reverse_annealing(self):
child_sampler = DWaveSampler()
# get an embedding
K10_edges = list(itertools.combinations(range(10), 2))
embedding = minorminer.find_embedding(K10_edges,
child_sampler.edgelist)
sampler = VirtualGraphComposite(child_sampler, embedding)
h = {}
J = {edge: -1 for edge in K10_edges}
kwargs = {
'initial_state': {v: 0
for v in set().union(*J)},
'anneal_schedule': [(0, 1), (55.0, 0.45), (155.0, 0.45),
(210.0, 1)]
}
# sample and resolve
sampler.sample_ising(h, J, **kwargs).samples()