def test_get_randomized_value():
# Test randomization no boundaries (normal distribution)
p1 = Parameter('test_parameter', 1.0)
val2 = p1.get_randomized_value(0.1)
assert isinstance(val2, float)
# Test the randomized value with truncated normal, i.e., with boundaries
p2 = Parameter('test_parameter', 1.0, min_value=-5.0, max_value=5.0, delta=0.2, desc='test', free=False, unit='MeV')
val1 = p2.get_randomized_value(0.1)
assert p2.min_value <= val1 <= p2.max_value
# Test the same but with a large variance
val1 = p2.get_randomized_value(10.0)
assert p2.min_value <= val1 <= p2.max_value
