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
def sample_bqm(self, bqm, num_reads=1, **kwargs):
info = dict(timing={
'total_real_time': 11511,
'anneal_time_per_run': 20,
'post_processing_overhead_time': 2042,
'qpu_sampling_time': 164,
'readout_time_per_run': 123,
'qpu_delay_time_per_sample': 21,
'qpu_anneal_time_per_sample': 20,
'total_post_processing_time': 2042,
'qpu_programming_time': 8740,
'run_time_chip': 164,
'qpu_access_time': 11511,
'qpu_readout_time_per_sample': 123
},
problem_id=5)
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 = uuid4()
future.set_result = {} # not actually needed
return future
def sample_ising(self, h, J, **kwargs):
for key in kwargs:
if key not in self.properties['parameters']:
raise ValueError
result = {
'num_variables': 2048,
'format': 'qp',
'num_occurrences': [1],
'active_variables': list(range(2048)),
'solutions': [[random.choice((-1, +1)) for __ in range(2048)]],
'timing': {
'total_real_time': 11511,
'anneal_time_per_run': 20,
'post_processing_overhead_time': 2042,
'qpu_sampling_time': 164,
'readout_time_per_run': 123,
'qpu_delay_time_per_sample': 21,
'qpu_anneal_time_per_sample': 20,
'total_post_processing_time': 2042,
'qpu_programming_time': 8740,
'run_time_chip': 164,
'qpu_access_time': 11511,
'qpu_readout_time_per_sample': 123
},
'occurrences': [1]
}
result['samples'] = result['solutions']
result['energies'] = [
dimod.ising_energy(sample, h, J) for sample in result['samples']
]
future = Future()
future.id = uuid4()
future.set_result(result)
return future
