def test_getters(self):
comparator = dc.DataComparator([self.DS_0, self.DS_1])
comparator.run(significance=0.05)
# XXX do these need unit tests? EGN: maybe not - could ask Kenny
mdl = list(self.DS_0.keys())[10]
comparator.jsd(mdl)
comparator.jsd_pseudothreshold
comparator.llr(mdl)
comparator.llr_pseudothreshold
comparator.ssjsd(mdl)
comparator.sstvd(mdl)
comparator.tvd(mdl)
comparator.aggregate_llr
comparator.aggregate_llr_threshold
comparator.aggregate_nsigma
comparator.aggregate_pvalue
comparator.aggregate_pvalue_threshold
comparator.maximum_sstvd
comparator.pvalue(mdl)
comparator.pvalue_pseudothreshold
comparator.worst_circuits(10)
def test_pass_stability(self, formatdata=False, verbosity=1):
assert(self.multids is not None), \
"Can only run the stability analysis if a MultiDataSet is contained in this Benchmarker!"
if not formatdata:
assert ('success-fail' in self.multids.keys(
)), "Must have generated/imported a success-fail format DataSet!"
else:
if 'success-fail' not in self.multids.keys():
if verbosity > 0:
print(
"No success/fail dataset found, so first creating this dataset from the full data...",
end='')
self.generate_success_or_fail_dataset()
if verbosity > 0:
print("complete.")
if len(self.multids['success-fail']) > 1:
self.dscomparator = _dcomp.DataComparator(
self.multids['success-fail'], allow_bad_circuits=True)
self.dscomparator.run(verbosity=verbosity)
def test_construction_raises_on_op_sequence_mismatch(self):
DS_bad = DataSet(outcome_labels=['0', '1']) # order ok...
DS_bad.add_count_dict(('Gx',), {'0': 10, '1': 90})
DS_bad.done_adding_data()
with self.assertRaises(ValueError):
dc.DataComparator([self.DS_0, DS_bad])
def test_construction_raises_on_bad_ds_names(self):
with self.assertRaises(ValueError):
dc.DataComparator([self.DS_0, self.DS_1], ds_names=["foobar"])
def test_implement_multidataset(self):
mds = MultiDataSet(outcome_labels=[('0',),('1',)])
mds.add_dataset('D0', self.DS_0)
mds.add_dataset('D1', self.DS_1)
comparator = dc.DataComparator(mds)
comparator.run(significance=0.05)
def test_implement_inclusive(self):
comparator = dc.DataComparator([self.DS_0, self.DS_1], op_inclusions=['Gi'], ds_names=['D0', 'D1'])
comparator.run(significance=0.05)
def test_implement(self):
comparator = dc.DataComparator([self.DS_0, self.DS_1])
comparator.run(significance=0.05)
