def test_do2d(_param, _param_complex, _param_set, _param_set_2, sweep,
columns):
start_p1 = 0
stop_p1 = 1
num_points_p1 = 1
delay_p1 = 0
start_p2 = 0.1
stop_p2 = 1.1
num_points_p2 = 2
delay_p2 = 0.01
do2d(_param_set,
start_p1,
stop_p1,
num_points_p1,
delay_p1,
_param_set_2,
start_p2,
stop_p2,
num_points_p2,
delay_p2,
_param,
_param_complex,
set_before_sweep=sweep,
flush_columns=columns)
def test_do2d_additional_setpoints(_param, _param_complex, _param_set):
additional_setpoints = [
Parameter('simple_setter_parameter', set_cmd=None, get_cmd=None)
for _ in range(2)
]
start_p1 = 0
stop_p1 = 0.5
num_points_p1 = 5
delay_p1 = 0
start_p2 = 0.5
stop_p2 = 1
num_points_p2 = 5
delay_p2 = 0.0
for x in range(3):
for y in range(4):
additional_setpoints[0](x)
additional_setpoints[1](y)
do2d(_param_set,
start_p1,
stop_p1,
num_points_p1,
delay_p1,
_param_set,
start_p2,
stop_p2,
num_points_p2,
delay_p2,
_param,
_param_complex,
additional_setpoints=additional_setpoints)
plt.close('all')
def test_do2d_explicit_experiment(_param_set, _param_set_2, _param, experiment):
start_p1 = 0
stop_p1 = 0.5
num_points_p1 = 5
delay_p1 = 0
start_p2 = 0.5
stop_p2 = 1
num_points_p2 = 5
delay_p2 = 0.0
experiment_2 = new_experiment('new-exp', 'no-sample')
data1 = do2d(_param_set, start_p1, stop_p1, num_points_p1, delay_p1,
_param_set_2, start_p2, stop_p2, num_points_p2, delay_p2,
_param, do_plot=False, exp=experiment)
assert data1[0].exp_name == "test-experiment"
data2 = do2d(_param_set, start_p1, stop_p1, num_points_p1, delay_p1,
_param_set_2, start_p2, stop_p2, num_points_p2, delay_p2,
_param, do_plot=False, exp=experiment_2)
assert data2[0].exp_name == "new-exp"
# by default the last experiment is used
data3 = do2d(_param_set, start_p1, stop_p1, num_points_p1, delay_p1,
_param_set_2, start_p2, stop_p2, num_points_p2, delay_p2,
_param, do_plot=False)
assert data3[0].exp_name == "new-exp"
def test_do2d_explicit_name(_param_set, _param_set_2, _param, experiment):
start_p1 = 0
stop_p1 = 0.5
num_points_p1 = 5
delay_p1 = 0
start_p2 = 0.5
stop_p2 = 1
num_points_p2 = 5
delay_p2 = 0.0
data1 = do2d(_param_set,
start_p1,
stop_p1,
num_points_p1,
delay_p1,
_param_set_2,
start_p2,
stop_p2,
num_points_p2,
delay_p2,
_param,
do_plot=False,
measurement_name="my measurement")
assert data1[0].name == "my measurement"
def test_do2d_plot(_param_set, _param_set_2, _param, plot, plot_config):
if plot_config is not None:
config.dataset.dond_plot = plot_config
start_p1 = 0
stop_p1 = 1
num_points_p1 = 1
delay_p1 = 0
start_p2 = 0.1
stop_p2 = 1.1
num_points_p2 = 2
delay_p2 = 0
output = do2d(_param_set,
start_p1,
stop_p1,
num_points_p1,
delay_p1,
_param_set_2,
start_p2,
stop_p2,
num_points_p2,
delay_p2,
_param,
do_plot=plot)
assert len(output[1]) == 1
if plot is True or plot is None and plot_config is True:
assert isinstance(output[1][0], matplotlib.axes.Axes)
else:
assert output[1][0] is None
def test_do2d_additional_setpoints_shape(
_param, _param_complex,
_param_set, _param_set_2,
num_points_p1, num_points_p2):
arrayparam = ArraySetPointParam(name='arrayparam')
array_shape = arrayparam.shape
additional_setpoints = [Parameter(
f'additional_setter_parameter_{i}',
set_cmd=None,
get_cmd=None) for i in range(2)]
start_p1 = 0
stop_p1 = 0.5
delay_p1 = 0
start_p2 = 0.5
stop_p2 = 1
delay_p2 = 0.0
x = 1
y = 2
additional_setpoints[0](x)
additional_setpoints[1](y)
results = do2d(
_param_set, start_p1, stop_p1, num_points_p1, delay_p1,
_param_set_2, start_p2, stop_p2, num_points_p2, delay_p2,
_param, _param_complex, arrayparam,
additional_setpoints=additional_setpoints,
do_plot=False)
expected_shapes = {
'arrayparam': (1, 1, num_points_p1, num_points_p2, array_shape[0]),
'simple_complex_parameter': (1, 1, num_points_p1, num_points_p2),
'simple_parameter': (1, 1, num_points_p1, num_points_p2)
}
assert results[0].description.shapes == expected_shapes
def test_do2d_additional_setpoints(_param, _param_complex,
_param_set, _param_set_2):
additional_setpoints = [Parameter(
f'additional_setter_parameter_{i}',
set_cmd=None,
get_cmd=None) for i in range(2)]
start_p1 = 0
stop_p1 = 0.5
num_points_p1 = 5
delay_p1 = 0
start_p2 = 0.5
stop_p2 = 1
num_points_p2 = 5
delay_p2 = 0.0
for x in range(3):
for y in range(4):
additional_setpoints[0](x)
additional_setpoints[1](y)
results = do2d(
_param_set, start_p1, stop_p1, num_points_p1, delay_p1,
_param_set_2, start_p2, stop_p2, num_points_p2, delay_p2,
_param, _param_complex,
additional_setpoints=additional_setpoints)
for deps in results[0].description.interdeps.dependencies.values():
assert len(deps) == 2 + len(additional_setpoints)
plt.close('all')
def test_do2d_output_data(_param, _param_complex, _param_set):
start_p1 = 0
stop_p1 = 0.5
num_points_p1 = 5
delay_p1 = 0
start_p2 = 0.5
stop_p2 = 1
num_points_p2 = 5
delay_p2 = 0.0
exp = do2d(_param_set, start_p1, stop_p1, num_points_p1, delay_p1,
_param_set, start_p2, stop_p2, num_points_p2, delay_p2, _param,
_param_complex)
data = exp[0]
assert data.parameters == f'{_param_set.name},{_param.name},' \
f'{_param_complex.name}'
loaded_data = data.get_parameter_data()
np.testing.assert_array_equal(loaded_data[_param.name][_param.name],
np.ones(25))
np.testing.assert_array_equal(
loaded_data[_param_complex.name][_param_complex.name],
(1 + 1j) * np.ones(25))
expected_setpoints = np.tile(np.linspace(0.5, 1, 5), 5)
np.testing.assert_array_equal(
loaded_data[_param_complex.name][_param_set.name], expected_setpoints)
def test_do2d_verify_shape(_param, _param_complex, _param_set, _param_set_2,
multiparamtype, dummyinstrument, sweep, columns,
num_points_p1, num_points_p2, n_points_pws):
arrayparam = ArraySetPointParam(name='arrayparam')
multiparam = multiparamtype(name='multiparam')
paramwsetpoints = dummyinstrument.A.dummy_parameter_with_setpoints
dummyinstrument.A.dummy_start(0)
dummyinstrument.A.dummy_stop(1)
dummyinstrument.A.dummy_n_points(n_points_pws)
start_p1 = 0
stop_p1 = 1
delay_p1 = 0
start_p2 = 0.1
stop_p2 = 1.1
delay_p2 = 0
results = do2d(_param_set,
start_p1,
stop_p1,
num_points_p1,
delay_p1,
_param_set_2,
start_p2,
stop_p2,
num_points_p2,
delay_p2,
arrayparam,
multiparam,
paramwsetpoints,
_param,
_param_complex,
set_before_sweep=sweep,
flush_columns=columns,
do_plot=False)
expected_shapes = {}
for i, name in enumerate(multiparam.full_names):
expected_shapes[name] = ((num_points_p1, num_points_p2) +
tuple(multiparam.shapes[i]))
expected_shapes['arrayparam'] = ((num_points_p1, num_points_p2) +
tuple(arrayparam.shape))
expected_shapes['simple_parameter'] = (num_points_p1, num_points_p2)
expected_shapes['simple_complex_parameter'] = (num_points_p1,
num_points_p2)
expected_shapes[paramwsetpoints.full_name] = (num_points_p1, num_points_p2,
n_points_pws)
assert results[0].description.shapes == expected_shapes
ds = results[0]
data = ds.get_parameter_data()
for name, data in data.items():
for param_data in data.values():
assert param_data.shape == expected_shapes[name]
def test_do2d_output_type(_param, _param_complex, _param_set, _param_set_2):
start_p1 = 0
stop_p1 = 0.5
num_points_p1 = 1
delay_p1 = 0
start_p2 = 0.1
stop_p2 = 0.75
num_points_p2 = 2
delay_p2 = 0.025
data = do2d(_param_set, start_p1, stop_p1, num_points_p1, delay_p1,
_param_set_2, start_p2, stop_p2, num_points_p2, delay_p2,
_param, _param_complex)
assert isinstance(data[0], DataSet) is True
def test_do2d_output_data(_param, _param_complex, _param_set, _param_set_2):
start_p1 = 0
stop_p1 = 0.5
num_points_p1 = 5
delay_p1 = 0
start_p2 = 0.5
stop_p2 = 1
num_points_p2 = 5
delay_p2 = 0.0
exp = do2d(_param_set, start_p1, stop_p1, num_points_p1, delay_p1,
_param_set_2, start_p2, stop_p2, num_points_p2, delay_p2,
_param, _param_complex)
data = exp[0]
assert data.parameters == (f'{_param_set.name},{_param_set_2.name},'
f'{_param.name},{_param_complex.name}')
loaded_data = data.get_parameter_data()
expected_data_1 = np.ones(25).reshape(num_points_p1, num_points_p2)
np.testing.assert_array_equal(loaded_data[_param.name][_param.name],
expected_data_1)
expected_data_2 = (1+1j)*np.ones(25).reshape(num_points_p1, num_points_p2)
np.testing.assert_array_equal(
loaded_data[_param_complex.name][_param_complex.name],
expected_data_2
)
expected_setpoints_1 = np.repeat(
np.linspace(start_p1, stop_p1, num_points_p1),
num_points_p2).reshape(num_points_p1, num_points_p2)
np.testing.assert_array_equal(
loaded_data[_param_complex.name][_param_set.name],
expected_setpoints_1
)
expected_setpoints_2 = np.tile(
np.linspace(start_p2, stop_p2, num_points_p2),
num_points_p1).reshape(num_points_p1, num_points_p2)
np.testing.assert_array_equal(
loaded_data[_param_complex.name][_param_set_2.name],
expected_setpoints_2
)
def test_do2d_output_data(_param, _param_complex, _param_set):
start_p1 = 0
stop_p1 = 0.5
num_points_p1 = 5
delay_p1 = 0
start_p2 = 0.5
stop_p2 = 1
num_points_p2 = 5
delay_p2 = 0.0
exp = do2d(_param_set, start_p1, stop_p1, num_points_p1, delay_p1,
_param_set, start_p2, stop_p2, num_points_p2, delay_p2, _param,
_param_complex)
data = exp[0]
assert data.parameters == f'{_param_set.name},{_param.name},' \
f'{_param_complex.name}'
assert data.get_values(_param.name) == [[1]] * 25
assert data.get_values(_param_complex.name) == [[(1 + 1j)]] * 25
assert data.get_values(
_param_set.name) == [[0.5], [0.5], [0.625], [0.625], [0.75], [0.75],
[0.875], [0.875], [1], [1]] * 5