def test_eval(self):
sys_tf = ct.tf([1], [1, 2, 1])
frd_tf = FRD(sys_tf, np.logspace(-1, 1, 3))
np.testing.assert_almost_equal(evalfr(sys_tf, 1J), frd_tf.eval(1))
# Should get an error if we evaluate at an unknown frequency
with pytest.raises(ValueError):
frd_tf.eval(2)
def test_eval(self):
sys_tf = ct.tf([1], [1, 2, 1])
frd_tf = FRD(sys_tf, np.logspace(-1, 1, 3))
np.testing.assert_almost_equal(sys_tf.evalfr(1), frd_tf.eval(1))
# Should get an error if we evaluate at an unknown frequency
self.assertRaises(ValueError, frd_tf.eval, 2)
def test_eval(self):
sys_tf = ct.tf([1], [1, 2, 1])
frd_tf = FRD(sys_tf, np.logspace(-1, 1, 3))
np.testing.assert_almost_equal(sys_tf(1j), frd_tf.eval(1))
np.testing.assert_almost_equal(sys_tf(1j), frd_tf(1j))
# Should get an error if we evaluate at an unknown frequency
with pytest.raises(ValueError, match="not .* in frequency list"):
frd_tf.eval(2)
# Should get an error if we evaluate at an complex number
with pytest.raises(ValueError, match="can only accept real-valued"):
frd_tf.eval(2 + 1j)
# Should get an error if we use __call__ at real-valued frequency
with pytest.raises(ValueError, match="only accept purely imaginary"):
frd_tf(2)
