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test_fiducialselection.py
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test_fiducialselection.py
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import numpy as np
from ..util import BaseCase
from . import fixtures
import pygsti.construction as pc
import pygsti.algorithms.fiducialselection as fs
class FiducialSelectionUtilTester(BaseCase):
def test_build_bitvec_mx(self):
mx = fs.build_bitvec_mx(3, 1)
# TODO assert correctness
class FiducialSelectionStdModel(object):
def setUp(self):
super(FiducialSelectionStdModel, self).setUp()
self.model = fixtures.model.copy()
self.fiducials = fixtures.fiducials
class FiducialSelectionExtendedModel(FiducialSelectionStdModel):
def setUp(self):
super(FiducialSelectionExtendedModel, self).setUp()
self.fiducials = pc.list_all_circuits(fixtures.opLabels, 0, 2)
###
# optimize_integer_fiducials_slack
#
class OptimizeIntegerFiducialsBase(object):
def setUp(self):
super(OptimizeIntegerFiducialsBase, self).setUp()
self.options = dict(
verbosity=4
)
def test_optimize_integer_fiducials_slack_frac(self):
fiducials = fs.optimize_integer_fiducials_slack(
self.model, self.fiducials, slackFrac=0.1, **self.options
)
# TODO assert correctness
def test_optimize_integer_fiducials_slack_fixed(self):
fiducials = fs.optimize_integer_fiducials_slack(
self.model, self.fiducials, fixedSlack=0.1, **self.options
)
# TODO assert correctness
def test_optimize_integer_fiducials_slack_initial_weights(self):
weights = np.ones(len(self.fiducials), 'i')
fiducials = fs.optimize_integer_fiducials_slack(
self.model, self.fiducials, fixedSlack=0.1,
initialWeights=weights, **self.options
)
# TODO assert correctness
def test_optimize_integer_fiducials_slack_return_all(self):
fiducials, weights, scores = fs.optimize_integer_fiducials_slack(
self.model, self.fiducials, slackFrac=0.1, returnAll=True,
**self.options
)
# TODO assert correctness
def test_optimize_integer_fiducials_slack_worst_score_func(self):
fiducials = fs.optimize_integer_fiducials_slack(
self.model, self.fiducials, slackFrac=0.1,
scoreFunc='worst', **self.options
)
# TODO assert correctness
def test_optimize_integer_fiducials_slack_fixed_num(self):
fiducials = fs.optimize_integer_fiducials_slack(
self.model, self.fiducials, slackFrac=0.1, fixedNum=4,
**self.options
)
# TODO assert correctness
def test_optimize_integer_fiducials_slack_force_empty(self):
fiducials = fs.optimize_integer_fiducials_slack(
self.model, self.fiducials, slackFrac=0.1, fixedNum=4,
forceEmpty=False, **self.options
)
# TODO assert correctness
def test_optimize_integer_fiducials_slack_low_max_iterations(self):
fiducials = fs.optimize_integer_fiducials_slack(
self.model, self.fiducials, slackFrac=0.1, maxIter=1,
**self.options
)
# TODO assert correctness
def test_optimize_integer_fiducials_slack_insufficient_fiducials(self):
insuff_fids = pc.circuit_list([('Gx',)])
weights = np.ones(len(insuff_fids), 'i')
fiducials = fs.optimize_integer_fiducials_slack(
self.model, insuff_fids, fixedSlack=0.1,
initialWeights=weights, **self.options
)
self.assertIsNone(fiducials)
def test_optimize_integer_fiducials_slack_raises_on_missing_slack_param(self):
with self.assertRaises(ValueError):
fs.optimize_integer_fiducials_slack(self.model, self.fiducials, **self.options)
class OptimizeIntegerFiducialsExceptionTester(FiducialSelectionStdModel, BaseCase):
def test_optimize_integer_fiducials_slack_raises_on_missing_method(self):
with self.assertRaises(Exception):
fs.optimize_integer_fiducials_slack(self.model, self.fiducials, fixedSlack=0.1)
class PrepOptimizeIntegerFiducialsStdModelTester(OptimizeIntegerFiducialsBase, FiducialSelectionStdModel, BaseCase):
def setUp(self):
super(PrepOptimizeIntegerFiducialsStdModelTester, self).setUp()
self.options.update(
prepOrMeas="prep"
)
class MeasOptimizeIntegerFiducialsStdModelTester(OptimizeIntegerFiducialsBase, FiducialSelectionStdModel, BaseCase):
def setUp(self):
super(MeasOptimizeIntegerFiducialsStdModelTester, self).setUp()
self.options.update(
prepOrMeas="meas"
)
# LOL explicit is better than implicit, right?
class PrepOptimizeIntegerFiducialsExtendedModelTester(
PrepOptimizeIntegerFiducialsStdModelTester, FiducialSelectionExtendedModel):
pass
class MeasOptimizeIntegerFiducialsExtendedModelTester(
MeasOptimizeIntegerFiducialsStdModelTester, FiducialSelectionExtendedModel):
pass
###
# test_fiducial_list
#
# XXX class names prefixed with "Test" will be picked up by nose
class _TestFiducialListBase(object):
def setUp(self):
super(_TestFiducialListBase, self).setUp()
self.fiducials_list = fs.optimize_integer_fiducials_slack(
self.model, self.fiducials,
prepOrMeas=self.prep_or_meas, slackFrac=0.1
)
def test_test_fiducial_list(self):
self.assertTrue(fs.test_fiducial_list(
self.model, self.fiducials_list, self.prep_or_meas
))
def test_test_fiducial_list_worst_score_func(self):
self.assertTrue(fs.test_fiducial_list(
self.model, self.fiducials_list, self.prep_or_meas,
scoreFunc='worst'
))
def test_test_fiducial_list_return_all(self):
result, spectrum, score = fs.test_fiducial_list(
self.model, self.fiducials_list, self.prep_or_meas,
returnAll=True
)
# TODO assert correctness
class PrepTestFiducialListTester(_TestFiducialListBase, FiducialSelectionStdModel, BaseCase):
prep_or_meas = 'prep'
class MeasTestFiducialListTester(_TestFiducialListBase, FiducialSelectionStdModel, BaseCase):
prep_or_meas = 'prep'
class TestFiducialListExceptionTester(FiducialSelectionStdModel, BaseCase):
def test_test_fiducial_list_raises_on_bad_method(self):
with self.assertRaises(ValueError):
fs.test_fiducial_list(self.model, None, "foobar")
###
# grasp_fiducial_optimization
#
class GraspFiducialOptimizationTester(FiducialSelectionStdModel, BaseCase):
def test_grasp_fiducial_optimization_prep(self):
fiducials = fs.grasp_fiducial_optimization(
self.model, self.fiducials, prepOrMeas="prep", alpha=0.5,
verbosity=4
)
# TODO assert correctness
def test_grasp_fiducial_optimization_meas(self):
fiducials = fs.grasp_fiducial_optimization(
self.model, self.fiducials, prepOrMeas="meas", alpha=0.5,
verbosity=4
)
# TODO assert correctness
def test_grasp_fiducial_optimization_raises_on_bad_method(self):
with self.assertRaises(ValueError):
fs.grasp_fiducial_optimization(
self.model, self.fiducials, prepOrMeas="foobar",
alpha=0.5, verbosity=4
)