def test_setting_non_gettable_parameter_with_finite_step(caplog):
initial_value = 0
step_size = 0.1
set_value = 1.0
# when the parameter is initially set from
# the initial_value the starting point is unknown
# so this should cause a warning but the parameter should still be set
with caplog.at_level(logging.WARNING):
x = Parameter('x',
initial_value=initial_value,
step=step_size,
set_cmd=None)
assert len(caplog.records) == 1
assert f"cannot sweep x from None to {initial_value}" in str(
caplog.records[0])
assert x.cache.get() == 0
# afterwards the stepping should work as expected.
with caplog.at_level(logging.WARNING):
caplog.clear()
assert_array_almost_equal(
np.array(x.get_ramp_values(set_value, step_size)), (np.arange(
initial_value + step_size, set_value + step_size, step_size)))
x.set(set_value)
assert x.cache.get() == set_value
assert len(caplog.records) == 0
def test_ramp_scaled(self, scale, value):
p = Parameter('p',
set_cmd=self.set_p,
get_cmd=self.get_p,
scale=scale,
initial_value=0)
assert p() == 0.0
# first set a step size
p.step = 0.1
# and a wait time
p.inter_delay = 1e-9 # in seconds
expected_output = np.linspace(0.1, 10, 100)
np.testing.assert_allclose(p.get_ramp_values(10, p.step),
expected_output)
p.set(value)
np.testing.assert_allclose(p.get(), value)
assert p.raw_value == value * scale
