def sample_bqm(self, bqm, num_reads=1, **kwargs):
problem_id = str(uuid4())
problem_label = kwargs.pop('label', None)
info = dict(timing={
'total_real_time': 11511.0,
'anneal_time_per_run': 20.0,
'post_processing_overhead_time': 2042.0,
'qpu_sampling_time': 164.0,
'readout_time_per_run': 123.0,
'qpu_delay_time_per_sample': 21.0,
'qpu_anneal_time_per_sample': 20.0,
'total_post_processing_time': 2042.0,
'qpu_programming_time': 8740.0,
'run_time_chip': 164.0,
'qpu_access_time': 11511.0,
'qpu_readout_time_per_sample': 123.0
},
problem_id=problem_id)
if problem_label:
info.update(problem_label=problem_label)
samples = np.random.choice(tuple(bqm.vartype.value),
size=(num_reads, len(bqm)))
future = Future()
ss = dimod.SampleSet.from_samples_bqm((samples, bqm.variables),
bqm,
info=info)
future.sampleset = ss
future.id = problem_id
future.label = problem_label
return future
