@pytest.fixture    def siso_tf_peak1(self):        # Peak_value = Undershoot = y_final(y(t=inf))        # step info time values depend on time vector discretization        # use T=linspace(0,50,10000)        T = TSys(TransferFunction([-1, 1],[1, 1]))        T.step_info = {            'RiseTime': 2.2002,            'SettlingTime': 4.6104,             'SettlingMin': 0.9004,             'SettlingMax': 0.9999,             'Overshoot': 0,             'Undershoot': 100.0,             'Peak': 1.0,             'PeakTime': 0.0,             'SteadyStateValue': 1.0}        return T

========================================================================== FAILURES ===========================================================================__________________________________________________ TestTimeresp.test_step_info[siso_tf_peak1-ltisys-yfinal] ___________________________________________________self = <control.tests.timeresp_test.TestTimeresp object at 0x7f443b7aebb0>, tsystem = TransferFunction(array([-1,  1]), array([1, 1])), systype = 'ltisys'time_2d = False, yfinal = True    @pytest.mark.parametrize(        "yfinal", [True, False], ids=["yfinal", "no yfinal"])    @pytest.mark.parametrize(        "systype, time_2d",        [("ltisys", False),         ("time response", False),         ("time response", True),         ],        ids=["ltisys", "time response (n,)", "time response (1,n)"])    @pytest.mark.parametrize(        "tsystem",        ["siso_tf_step_matlab",         "siso_ss_step_matlab",         "siso_tf_kpos",         "siso_tf_kneg",         "siso_tf_type1",         "siso_tf_peak1"],        indirect=["tsystem"])    def test_step_info(self, tsystem, systype, time_2d, yfinal):        """Test step info for SISO systems."""        step_info_kwargs = tsystem.kwargs.get('step_info', {})        if systype == "time response":            # simulate long enough for steady state value            tfinal = 3 * tsystem.step_info['SettlingTime']            if np.isnan(tfinal):                pytest.skip("test system does not settle")            t, y = step_response(tsystem.sys, T=tfinal, T_num=5000)            sysdata = y            step_info_kwargs['T'] = t[np.newaxis, :] if time_2d else t        else:            sysdata = tsystem.sys        if yfinal:            step_info_kwargs['yfinal'] = tsystem.step_info['SteadyStateValue']            info = step_info(sysdata, **step_info_kwargs)    >       self.assert_step_info_match(tsystem.sys, info, tsystem.step_info)control/tests/timeresp_test.py:509: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _self = <control.tests.timeresp_test.TestTimeresp object at 0x7f443b7aebb0>, sys = TransferFunction(array([-1,  1]), array([1, 1]))info = {'Overshoot': 0, 'Peak': 1.0, 'PeakTime': 0.0, 'RiseTime': 2.1630344812974367, ...}info_ref = {'Overshoot': 0, 'Peak': 1.0, 'PeakTime': 0.0, 'RiseTime': 2.2002, ...}    def assert_step_info_match(self, sys, info, info_ref):        """Assert reasonable step_info accuracy."""        if sys.isdtime(strict=True):            dt = sys.dt        else:            _, dt = _ideal_tfinal_and_dt(sys, is_step=True)            for k in ['RiseTime', 'SettlingTime', 'PeakTime']:            np.testing.assert_allclose(info[k], info_ref[k], atol=dt,                                       err_msg=f"{k} does not match")        for k in ['Overshoot', 'Undershoot', 'Peak', 'SteadyStateValue']:            np.testing.assert_allclose(info[k], info_ref[k], rtol=5e-3,                                       err_msg=f"{k} does not match")            # steep gradient right after RiseTime        absrefinf = np.abs(info_ref['SteadyStateValue'])        if info_ref['RiseTime'] > 0:            y_next_sample_max = 0.8*absrefinf/info_ref['RiseTime']*dt        else:            y_next_sample_max = 0        for k in ['SettlingMin', 'SettlingMax']:            if (np.abs(info_ref[k]) - 0.9 * absrefinf) > y_next_sample_max:                # local min/max peak well after signal has risen>               np.testing.assert_allclose(info[k], info_ref[k], rtol=1e-3)E               AssertionError: E               Not equal to tolerance rtol=0.001, atol=0E               E               Mismatched elements: 1 / 1 (100%)E               Max absolute difference: 0.0019E               Max relative difference: 0.00190019E                x: array(0.998)E                y: array(0.9999)control/tests/timeresp_test.py:471: AssertionError_________________________________________________ TestTimeresp.test_step_info[siso_tf_peak1-ltisys-no yfinal] _________________________________________________self = <control.tests.timeresp_test.TestTimeresp object at 0x7f44b0132df0>, tsystem = TransferFunction(array([-1,  1]), array([1, 1])), systype = 'ltisys'time_2d = False, yfinal = False    @pytest.mark.parametrize(        "yfinal", [True, False], ids=["yfinal", "no yfinal"])    @pytest.mark.parametrize(        "systype, time_2d",        [("ltisys", False),         ("time response", False),         ("time response", True),         ],        ids=["ltisys", "time response (n,)", "time response (1,n)"])    @pytest.mark.parametrize(        "tsystem",        ["siso_tf_step_matlab",         "siso_ss_step_matlab",         "siso_tf_kpos",         "siso_tf_kneg",         "siso_tf_type1",         "siso_tf_peak1"],        indirect=["tsystem"])    def test_step_info(self, tsystem, systype, time_2d, yfinal):        """Test step info for SISO systems."""        step_info_kwargs = tsystem.kwargs.get('step_info', {})        if systype == "time response":            # simulate long enough for steady state value            tfinal = 3 * tsystem.step_info['SettlingTime']            if np.isnan(tfinal):                pytest.skip("test system does not settle")            t, y = step_response(tsystem.sys, T=tfinal, T_num=5000)            sysdata = y            step_info_kwargs['T'] = t[np.newaxis, :] if time_2d else t        else:            sysdata = tsystem.sys        if yfinal:            step_info_kwargs['yfinal'] = tsystem.step_info['SteadyStateValue']            info = step_info(sysdata, **step_info_kwargs)    >       self.assert_step_info_match(tsystem.sys, info, tsystem.step_info)control/tests/timeresp_test.py:509: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _self = <control.tests.timeresp_test.TestTimeresp object at 0x7f44b0132df0>, sys = TransferFunction(array([-1,  1]), array([1, 1]))info = {'Overshoot': 0, 'Peak': 1.0, 'PeakTime': 0.0, 'RiseTime': 2.1630344812974367, ...}info_ref = {'Overshoot': 0, 'Peak': 1.0, 'PeakTime': 0.0, 'RiseTime': 2.2002, ...}    def assert_step_info_match(self, sys, info, info_ref):        """Assert reasonable step_info accuracy."""        if sys.isdtime(strict=True):            dt = sys.dt        else:            _, dt = _ideal_tfinal_and_dt(sys, is_step=True)            for k in ['RiseTime', 'SettlingTime', 'PeakTime']:            np.testing.assert_allclose(info[k], info_ref[k], atol=dt,                                       err_msg=f"{k} does not match")        for k in ['Overshoot', 'Undershoot', 'Peak', 'SteadyStateValue']:            np.testing.assert_allclose(info[k], info_ref[k], rtol=5e-3,                                       err_msg=f"{k} does not match")            # steep gradient right after RiseTime        absrefinf = np.abs(info_ref['SteadyStateValue'])        if info_ref['RiseTime'] > 0:            y_next_sample_max = 0.8*absrefinf/info_ref['RiseTime']*dt        else:            y_next_sample_max = 0        for k in ['SettlingMin', 'SettlingMax']:            if (np.abs(info_ref[k]) - 0.9 * absrefinf) > y_next_sample_max:                # local min/max peak well after signal has risen>               np.testing.assert_allclose(info[k], info_ref[k], rtol=1e-3)E               AssertionError: E               Not equal to tolerance rtol=0.001, atol=0E               E               Mismatched elements: 1 / 1 (100%)E               Max absolute difference: 0.0019E               Max relative difference: 0.00190019E                x: array(0.998)E                y: array(0.9999)control/tests/timeresp_test.py:471: AssertionError====================================================================== warnings summary =======================================================================control/tests/rlocus_test.py:79  /home/jpp/github_repos/my_python_control/python-control/control/tests/rlocus_test.py:79: PytestUnknownMarkWarning: Unknown pytest.mark.timeout - is this a typo?  You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/mark.html    @pytest.mark.timeout(2)-- Docs: https://docs.pytest.org/en/stable/warnings.html=================================================================== short test summary info ===================================================================SKIPPED [1] control/tests/matlab2_test.py:204: skipping test_check_convert_shape, need to update testSKIPPED [1] control/tests/matlab2_test.py:275: need to update testSKIPPED [4] control/tests/timeresp_test.py:498: test system does not settleSKIPPED [6] control/tests/timeresp_test.py:880: No continuous forced_response without time vector.SKIPPED [1] control/tests/type_conversion_test.py:162: future test; conversions not yet fully implementedSKIPPED [2] control/tests/xferfcn_test.py:742: .__matmul__ not implementedXFAIL control/tests/lti_test.py::TestLTI::test_timebaseEqual_deprecated[None-True-True]  returns falseXFAIL control/tests/optimal_test.py::test_discrete_lqr  reason: discrete LQR not implementedXFAIL control/tests/statefbk_test.py::TestStatefbk::testLQR_warning  warning not implementedFAILED control/tests/timeresp_test.py::TestTimeresp::test_step_info[siso_tf_peak1-ltisys-yfinal] - AssertionError: FAILED control/tests/timeresp_test.py::TestTimeresp::test_step_info[siso_tf_peak1-ltisys-no yfinal] - AssertionError: ========================================= 2 failed, 2483 passed, 15 skipped, 3 xfailed, 1 warning in 93.49s (0:01:33) =========================================(control-dev) jpp@jpp-linux:~/github_repos/my_python_control/python-control$ /home/jpp/miniconda3/envs/control-dev/bin/python /home/jpp/github_repos/my_python_control/python-control/examples/step_info_example2.py