def test_do1d_explicit_experiment(_param_set, _param, experiment):
start = 0
stop = 1
num_points = 5
delay = 0
experiment_2 = new_experiment('new-exp', 'no-sample')
data1 = do1d(_param_set,
start,
stop,
num_points,
delay,
_param,
do_plot=False,
exp=experiment)
assert data1[0].exp_name == "test-experiment"
data2 = do1d(_param_set,
start,
stop,
num_points,
delay,
_param,
do_plot=False,
exp=experiment_2)
assert data2[0].exp_name == "new-exp"
# by default the last experiment is used
data3 = do1d(_param_set,
start,
stop,
num_points,
delay,
_param,
do_plot=False)
assert data3[0].exp_name == "new-exp"
def test_do1d_with_2_parameter(_param_set, _param, _param_complex, delay):
start = 0
stop = 1
num_points = 1
do1d(_param_set, start, stop, num_points, delay, _param, _param_complex)
def test_do1d_with_real_parameter(_param_set, _param, delay):
start = 0
stop = 1
num_points = 1
do1d(_param_set, start, stop, num_points, delay, _param)
def test_do1d_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
for x in range(3):
for y in range(4):
additional_setpoints[0](x)
additional_setpoints[1](y)
do1d(_param_set,
start_p1,
stop_p1,
num_points_p1,
delay_p1,
_param,
_param_complex,
additional_setpoints=additional_setpoints)
# Calling the fixture won't work here due to loop-scope.
# Thus, we make an explicit call to close plots. This will be
# repeated in similarly design tests.
plt.close('all')
def test_do1d_additional_setpoints_shape(_param, _param_complex, _param_set,
num_points_p1):
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
x = 1
y = 2
additional_setpoints[0](x)
additional_setpoints[1](y)
results = do1d(_param_set,
start_p1,
stop_p1,
num_points_p1,
delay_p1,
_param,
arrayparam,
additional_setpoints=additional_setpoints,
do_plot=False)
expected_shapes = {
'arrayparam': (1, 1, num_points_p1, array_shape[0]),
'simple_parameter': (1, 1, num_points_p1)
}
assert results[0].description.shapes == expected_shapes
def test_do1d_additional_setpoints(_param, _param_complex, _param_set):
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
for x in range(3):
for y in range(4):
additional_setpoints[0](x)
additional_setpoints[1](y)
results = do1d(_param_set,
start_p1,
stop_p1,
num_points_p1,
delay_p1,
_param,
_param_complex,
additional_setpoints=additional_setpoints)
for deps in results[0].description.interdeps.dependencies.values():
assert len(deps) == 1 + len(additional_setpoints)
# Calling the fixture won't work here due to loop-scope.
# Thus, we make an explicit call to close plots. This will be
# repeated in similarly design tests.
plt.close('all')
def test_do1d_parameter_with_array_vals(_param_set):
param = ArrayshapedParam(name='paramwitharrayval',
vals=Arrays(shape=(10, )))
start = 0
stop = 1
num_points = 15 # make param
delay = 0
results = do1d(_param_set,
start,
stop,
num_points,
delay,
param,
do_plot=False)
expected_shapes = {'paramwitharrayval': (num_points, 10)}
ds = results[0]
assert ds.description.shapes == expected_shapes
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_do1d_verify_shape(_param, _param_complex, _param_set, multiparamtype,
dummyinstrument, num_points, 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 = 0
stop = 1
delay = 0
results = do1d(_param_set,
start,
stop,
num_points,
delay,
arrayparam,
multiparam,
paramwsetpoints,
_param,
_param_complex,
do_plot=False)
expected_shapes = {}
for i, name in enumerate(multiparam.full_names):
expected_shapes[name] = (num_points, ) + tuple(multiparam.shapes[i])
expected_shapes['arrayparam'] = (num_points, ) + tuple(arrayparam.shape)
expected_shapes['simple_parameter'] = (num_points, )
expected_shapes['simple_complex_parameter'] = (num_points, )
expected_shapes[paramwsetpoints.full_name] = (num_points, n_points_pws)
assert results[0].description.shapes == expected_shapes
def test_do1d_output_type_real_parameter(_param_set, _param, delay):
start = 0
stop = 1
num_points = 1
data = do1d(_param_set, start, stop, num_points, delay, _param)
assert isinstance(data[0], DataSet) is True
def test_do1d_explicit_name(_param_set, _param):
start = 0
stop = 1
num_points = 5
delay = 0
data1 = do1d(_param_set, start, stop, num_points, delay,
_param, do_plot=False, measurement_name="my measurement")
assert data1[0].name == "my measurement"
def test_do1d_output_data(_param, _param_set):
start = 0
stop = 1
num_points = 5
delay = 0
exp = do1d(_param_set, start, stop, num_points, delay, _param)
data = exp[0]
assert data.parameters == f'{_param_set.name},{_param.name}'
assert data.get_values(_param.name) == [[1]] * 5
assert data.get_values(_param_set.name) == [[0], [0.25], [0.5], [0.75],
[1]]
def test_do1d_plot(_param_set, _param, plot, plot_config):
if plot_config is not None:
config.dataset.dond_plot = plot_config
start = 0
stop = 1
num_points = 1
output = do1d(_param_set, start, stop, num_points, 0, _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_do1d_output_data(_param, _param_set):
start = 0
stop = 1
num_points = 5
delay = 0
exp = do1d(_param_set, start, stop, num_points, delay, _param)
data = exp[0]
assert data.parameters == f'{_param_set.name},{_param.name}'
loaded_data = data.get_parameter_data()['simple_parameter']
np.testing.assert_array_equal(loaded_data[_param.name], np.ones(5))
np.testing.assert_array_equal(loaded_data[_param_set.name], np.linspace(0, 1, 5))
def test_do1d_parameter_with_array_vals(_param_set):
param = ArrayshapedParam(name='paramwitharrayval',
vals=Arrays(shape=(10, )))
start = 0
stop = 1
num_points = 15 # make param
delay = 0
results = do1d(_param_set,
start,
stop,
num_points,
delay,
param,
do_plot=False)
expected_shapes = {'paramwitharrayval': (num_points, 10)}
assert results[0].description.shapes == expected_shapes