def test_old_loop_1D_2D(self):
self.p_sweep2 = Parameter("p_sweep2", set_cmd=None)
loop = Loop(self.p_sweep.sweep(0, 5, 1)).each(
self.p_measure, Loop(self.p_sweep2.sweep(0, 5, 1)).each(self.p_measure)
)
loop.run(name="old_loop_1D_2D", thread=False)
def testLoopCombinedParameterTwice(self, npoints, x_start_stop, y_start_stop, z_start_stop):
x_set = np.linspace(x_start_stop[0], x_start_stop[1], npoints)
y_set = np.linspace(y_start_stop[0], y_start_stop[1], npoints)
z_set = np.linspace(z_start_stop[0], z_start_stop[1], npoints)
setpoints = np.hstack((x_set.reshape(npoints, 1),
y_set.reshape(npoints, 1),
z_set.reshape(npoints, 1)))
parameters = [Parameter(name, get_cmd=None, set_cmd=None) for name in ["X", "Y", "Z"]]
sweep_values = combine(*parameters,
name="combined").sweep(setpoints)
def wrapper():
counter = 0
def inner():
nonlocal counter
counter += 1
return counter
return inner
self.dmm.voltage.get = wrapper()
loop = Loop(sweep_values).each(self.dmm.voltage, self.dmm.voltage)
data = loop.run(quiet=True)
np.testing.assert_array_equal(data.arrays['X'].ndarray, x_set)
np.testing.assert_array_equal(data.arrays['Y'].ndarray, y_set)
np.testing.assert_array_equal(data.arrays['Z'].ndarray, z_set)
np.testing.assert_array_equal(data.arrays['dmm_voltage_0'].ndarray, np.arange(1, npoints*2, 2))
np.testing.assert_array_equal(data.arrays['dmm_voltage_1'].ndarray, np.arange(2, npoints*2+1, 2))
def testLoopCombinedParameterPrintTask(self, npoints, x_start_stop, y_start_stop, z_start_stop):
x_set = np.linspace(x_start_stop[0], x_start_stop[1], npoints)
y_set = np.linspace(y_start_stop[0], y_start_stop[1], npoints)
z_set = np.linspace(z_start_stop[0], z_start_stop[1], npoints)
setpoints = np.hstack((x_set.reshape(npoints, 1),
y_set.reshape(npoints, 1),
z_set.reshape(npoints, 1)))
parameters = [Parameter(name, get_cmd=None, set_cmd=None) for name in ["X", "Y", "Z"]]
sweep_values = combine(*parameters,
name="combined").sweep(setpoints)
def ataskfunc():
a = 1+1
def btaskfunc():
b = 1+2
atask = Task(ataskfunc)
btask = Task(btaskfunc)
loop = Loop(sweep_values).each(atask, btask)
data = loop.run(quiet=True)
np.testing.assert_array_equal(data.arrays['X'].ndarray, x_set)
np.testing.assert_array_equal(data.arrays['Y'].ndarray, y_set)
np.testing.assert_array_equal(data.arrays['Z'].ndarray, z_set)
def testLoopCombinedParameterInside(self, npoints, npoints_outer,
x_start_stop, y_start_stop,
z_start_stop):
x_set = np.linspace(x_start_stop[0], x_start_stop[1], npoints_outer)
y_set = np.linspace(y_start_stop[0], y_start_stop[1], npoints)
z_set = np.linspace(z_start_stop[0], z_start_stop[1], npoints)
setpoints = np.hstack((y_set.reshape(npoints,
1), z_set.reshape(npoints, 1)))
parameters = [ManualParameter(name) for name in ["X", "Y", "Z"]]
sweep_values = combine(parameters[1], parameters[2],
name="combined").sweep(setpoints)
def ataskfunc():
a = 1 + 1
def btaskfunc():
b = 1 + 2
atask = Task(ataskfunc)
btask = Task(btaskfunc)
def wrapper():
counter = 0
def inner():
nonlocal counter
counter += 1
return counter
return inner
self.dmm.voltage.get = wrapper()
loop = Loop(
parameters[0].sweep(x_start_stop[0],
x_start_stop[1],
num=npoints_outer)).loop(sweep_values).each(
self.dmm.voltage, atask,
self.dmm.somethingelse, self.dmm.voltage,
btask)
data = loop.run(quiet=True)
np.testing.assert_array_equal(data.arrays['X_set'].ndarray, x_set)
np.testing.assert_array_equal(
data.arrays['Y'].ndarray,
np.repeat(y_set.reshape(1, npoints), npoints_outer, axis=0))
np.testing.assert_array_equal(
data.arrays['Z'].ndarray,
np.repeat(z_set.reshape(1, npoints), npoints_outer, axis=0))
np.testing.assert_array_equal(
data.arrays['dmm_voltage_0'].ndarray,
np.arange(1, npoints * npoints_outer * 2,
2).reshape(npoints_outer, npoints))
np.testing.assert_array_equal(
data.arrays['dmm_voltage_3'].ndarray,
np.arange(2, npoints * npoints_outer * 2 + 1,
2).reshape(npoints_outer, npoints))
np.testing.assert_array_equal(data.arrays['dmm_somethingelse'].ndarray,
np.ones((npoints_outer, npoints)))
def test_old_loop_1D(self):
loop = Loop(self.p_sweep.sweep(0, 10, 1)).each(self.p_measure, self.p_measure)
data = loop.run(name="old_loop_1D", thread=False)
self.assertEqual(data.metadata.get("measurement_type"), "Loop")
# Verify that the measurement dataset records the correct measurement type
loaded_data = load_data(data.location)
self.assertEqual(loaded_data.metadata.get("measurement_type"), "Loop")
