def test_number_of_validations_for_set_cache():
p = Parameter('p', set_cmd=None, vals=BookkeepingValidator())
assert p.vals.values_validated == []
p.cache.set(1)
assert p.vals.values_validated == [1]
p.cache.set(4)
assert p.vals.values_validated == [1, 4]
p.step = 1
p.cache.set(10)
assert p.vals.values_validated == [1, 4, 10]
def test_number_of_validations(self):
p = Parameter('p',
set_cmd=None,
initial_value=0,
vals=BookkeepingValidator())
self.assertEqual(p.vals.values_validated, [0])
p.step = 1
p.set(10)
self.assertEqual(p.vals.values_validated,
[0, 10, 1, 2, 3, 4, 5, 6, 7, 8, 9])
def test_number_of_validations(self):
p = Parameter('p', set_cmd=None, initial_value=0,
vals=BookkeepingValidator())
# in the set wrapper the final value is validated
# and then subsequently each step is validated.
# in this case there is one step so the final value
# is validated twice.
self.assertEqual(p.vals.values_validated, [0, 0])
p.step = 1
p.set(10)
self.assertEqual(p.vals.values_validated,
[0, 0, 10, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
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
