def test_getters(self):
comparator = dc.DataComparator([self.DS_0, self.DS_1])
comparator.implement(significance=0.05)
# XXX do these need unit tests? EGN: maybe not - could ask Kenny
mdl = self.DS_0.keys()[10]
comparator.get_JSD(mdl)
comparator.get_JSD_pseudothreshold()
comparator.get_LLR(mdl)
comparator.get_LLR_pseudothreshold()
comparator.get_SSJSD(mdl)
comparator.get_SSTVD(mdl)
comparator.get_TVD(mdl)
comparator.get_aggregate_LLR()
comparator.get_aggregate_LLR_threshold()
comparator.get_aggregate_nsigma()
comparator.get_aggregate_pvalue()
comparator.get_aggregate_pvalue_threshold()
comparator.get_maximum_SSTVD()
comparator.get_pvalue(mdl)
comparator.get_pvalue_pseudothreshold()
comparator.get_worst_circuits(10)
def test_construction_raises_on_op_sequence_mismatch(self):
DS_bad = DataSet(outcomeLabels=['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(outcomeLabels=[('0',),('1',)])
mds.add_dataset('D0', self.DS_0)
mds.add_dataset('D1', self.DS_1)
comparator = dc.DataComparator(mds)
comparator.implement(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.implement(significance=0.05)
def test_implement(self):
comparator = dc.DataComparator([self.DS_0, self.DS_1])
comparator.implement(significance=0.05)