/
test_estimate.py
84 lines (68 loc) · 3.12 KB
/
test_estimate.py
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import pickle
from pygsti.modelpacks.legacy import std1Q_XYI as std
from pygsti.circuits import CircuitList
from pygsti.protocols import Protocol, ProtocolData, CircuitListsDesign
from pygsti.protocols import estimate
from pygsti.protocols.gst import ModelEstimateResults
from . import fixtures as pkg
from ..util import BaseCase
class EstimateBase(object):
@classmethod
def setUpClass(cls):
cls.model = pkg.mdl_lsgst_go
cls.maxLengthList = pkg.maxLengthList
edesign = CircuitListsDesign([CircuitList(circuit_struct)
for circuit_struct in pkg.lsgstStrings])
data = ProtocolData(edesign, pkg.dataset)
cls.res = ModelEstimateResults(data, Protocol("test-protocol"))
def setUp(self):
self.model = self.model.copy()
self.res = self.res.copy()
def test_get_effective_dataset(self):
# Get effective estimate dataset
effds = self.est.create_effective_dataset()
effds, subMxs = self.est.create_effective_dataset(return_submxs=True)
# TODO assert correctness
def test_view(self):
#Estimate views
est_view = self.est.view(None)
est_view = self.est.view(['test'])
# TODO assert correctness
def test_to_string(self):
#Estimate & results render as str
s = str(self.est)
# TODO assert correctness
def test_pickle(self):
s = pickle.dumps(self.est)
est_pickled = pickle.loads(s)
# TODO assert correctness
class ResultsEstimateTester(EstimateBase, BaseCase):
def setUp(self):
super(ResultsEstimateTester, self).setUp()
self.res.add_estimate(
estimate.Estimate.create_gst_estimate(
self.res, std.target_model(), std.target_model(),
[self.model] * len(self.maxLengthList),
parameters={'objective': 'logl'}),
estimate_key="default"
)
self.est = self.res.estimates['default']
def test_add_gaugeoptimized(self):
# TODO optimize
goparams = {'item_weights': {'gates': 1.0, 'spam': 0.1},
'method': 'BFGS'} # method so we don't need a legit comm
self.est.add_gaugeoptimized(goparams, label="test", comm=None, verbosity=None)
# TODO assert correctness
class EmptyEstimateTester(EstimateBase, BaseCase):
def setUp(self):
super(EmptyEstimateTester, self).setUp()
self.est = estimate.Estimate(self.res)
def test_add_gaugeoptimized_raises_on_no_model(self):
with self.assertRaises(ValueError):
goparams = {'item_weights': {'gates': 1.0, 'spam': 0.1}, 'target_model': self.model}
self.est.add_gaugeoptimized(goparams, label="test", comm=None, verbosity=None) # goparams must have 'model'
def test_add_gaugeoptimized_raises_on_no_target_model(self):
with self.assertRaises(ValueError):
goparams = {'item_weights': {'gates': 1.0, 'spam': 0.1}, 'model': self.model}
self.est.add_gaugeoptimized(goparams, label="test", comm=None,
verbosity=None) # goparams must have 'target_model'