def test_calibration_heatmap():
calibration = cg.Calibration(_CALIBRATION_DATA)
heatmap = calibration.heatmap('t1')
figure = mpl.figure.Figure()
axes = figure.add_subplot(111)
heatmap.plot(axes)
heatmap = calibration.heatmap('xeb')
figure = mpl.figure.Figure()
axes = figure.add_subplot(999)
heatmap.plot(axes)
with pytest.raises(ValueError, match="one or two qubits.*multi_qubit"):
multi_qubit_data = Merge(
"""metrics: [{
name: 'multi_qubit',
targets: ['0_0', '0_1', '1_0'],
values: [{double_val: 0.999}]}]""",
v2.metrics_pb2.MetricsSnapshot(),
)
cg.Calibration(multi_qubit_data).heatmap('multi_qubit')
with pytest.raises(ValueError, match="single metric values.*multi_value"):
multi_qubit_data = Merge(
"""metrics: [{
name: 'multi_value',
targets: ['0_0'],
values: [{double_val: 0.999}, {double_val: 0.001}]}]""",
v2.metrics_pb2.MetricsSnapshot(),
)
cg.Calibration(multi_qubit_data).heatmap('multi_value')
def test_to_proto():
calibration = cg.Calibration(_CALIBRATION_DATA)
assert calibration == cg.Calibration(calibration.to_proto())
invalid_value = cg.Calibration(
metrics={'metric': {
(cirq.GridQubit(1, 1), ): [1.1, {}]
}})
with pytest.raises(ValueError, match='Unsupported metric value'):
invalid_value.to_proto()
def test_calibrations_with_string_key():
calibration = cg.Calibration(metrics={'metric1': {('alpha',): [0.1]}})
expected_proto = Merge(
"""
metrics: [{
name: 'metric1'
targets: ['alpha']
values: [{double_val: 0.1}]
}]
""",
v2.metrics_pb2.MetricsSnapshot(),
)
assert expected_proto == calibration.to_proto()
assert calibration == cg.Calibration(expected_proto)
assert calibration == cg.Calibration(calibration.to_proto())
def test_calibration_plot_histograms():
calibration = cg.Calibration(_CALIBRATION_DATA)
_, ax = mpl.pyplot.subplots(1, 1)
calibration.plot_histograms(['t1', 'two_qubit_xeb'], ax, labels=['T1', 'XEB'])
assert len(ax.get_lines()) == 4
with pytest.raises(ValueError, match="single metric values.*multi_value"):
multi_qubit_data = Merge(
"""metrics: [{
name: 'multi_value',
targets: ['0_0'],
values: [{double_val: 0.999}, {double_val: 0.001}]}]""",
v2.metrics_pb2.MetricsSnapshot(),
)
cg.Calibration(multi_qubit_data).plot_histograms('multi_value')
def test_calibration_heatmap():
calibration = cg.Calibration(_CALIBRATION_DATA)
heatmap = calibration.heatmap('t1')
figure = mpl.figure.Figure()
axes = figure.add_subplot(111)
heatmap.plot(axes)
def test_calibration_timestamp_str():
calibration = cg.Calibration(_CALIBRATION_DATA)
assert calibration.timestamp_str(
tz=datetime.timezone.utc) == '2019-07-08 00:00:00.021021+00:00'
assert (calibration.timestamp_str(
tz=datetime.timezone(datetime.timedelta(
hours=1))) == '2019-07-08 01:00:00.021021+01:00')
def test_calibrations_with_string_key():
calibration = cg.Calibration(metrics={'metric1': {('alpha', ): [0.1]}})
expected_proto = Merge(
"""
metrics: [{
name: 'metric1'
targets: ['alpha']
values: [{double_val: 0.1}]
}]
""",
v2.metrics_pb2.MetricsSnapshot(),
)
assert expected_proto == calibration.to_proto()
assert calibration == cg.Calibration(expected_proto)
assert calibration == cg.Calibration(calibration.to_proto())
with pytest.raises(ValueError, match='was not a qubit'):
calibration.key_to_qubit('alpha')
def test_calibration_metrics_dictionary():
calibration = cg.Calibration(_CALIBRATION_DATA)
t1s = calibration['t1']
assert t1s == {
(cirq.GridQubit(0, 0), ): [321],
(cirq.GridQubit(0, 1), ): [911],
(cirq.GridQubit(1, 0), ): [505]
}
assert len(calibration) == 3
assert 't1' in calibration
assert 't2' not in calibration
for qubits, values in t1s.items():
assert len(qubits) == 1
assert len(values) == 1
with pytest.raises(TypeError, match="was 1"):
_ = calibration[1]
with pytest.raises(KeyError, match='notit'):
_ = calibration['notit']
def test_calibration_repr():
calibration = cg.Calibration(_CALIBRATION_DATA)
cirq.testing.assert_equivalent_repr(calibration)
def test_calibration_str():
calibration = cg.Calibration(_CALIBRATION_DATA)
assert str(
calibration) == "Calibration(keys=['globalMetric', 't1', 'xeb'])"
def test_calibration_plot():
calibration = cg.Calibration(_CALIBRATION_DATA)
_, axs = calibration.plot('two_qubit_xeb')
assert axs[0].get_title() == 'Two Qubit Xeb'
assert len(axs[1].get_lines()) == 2
