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)