[  572s] =================================== FAILURES ===================================
[  572s] ___________________________ test_ab08nX.test_ab08nd ____________________________
[  572s] 
[  572s] self = <slycot.tests.test_ab08n.test_ab08nX testMethod=test_ab08nd>
[  572s] 
[  572s]     def test_ab08nd(self):
[  572s]         "Test Construct regular pencil for real matrices"
[  572s] >       self.ab08nX(analysis.ab08nd, self.A, self.B, self.C, self.D)
[  572s] 
[  572s] ../../BUILDROOT/python-slycot-0.4.0.0-4.4.aarch64/usr/lib64/python3.9/site-packages/slycot/tests/test_ab08n.py:73: 
[  572s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[  572s] 
[  572s] self = <slycot.tests.test_ab08n.test_ab08nX testMethod=test_ab08nd>
[  572s] ab08fun = <function ab08nd at 0xffffa682c1f0>
[  572s] A = array([[ 1.,  0.,  0.,  0.,  0.,  0.],
[  572s]        [ 0.,  1.,  0.,  0.,  0.,  0.],
[  572s]        [ 0.,  0.,  3.,  0.,  0.,  0.],
[  572s]        [ 0.,  0.,  0., -4.,  0.,  0.],
[  572s]        [ 0.,  0.,  0.,  0., -1.,  0.],
[  572s]        [ 0.,  0.,  0.,  0.,  0.,  3.]])
[  572s] B = array([[ 0., -1.],
[  572s]        [-1.,  0.],
[  572s]        [ 1., -1.],
[  572s]        [ 0.,  0.],
[  572s]        [ 0.,  1.],
[  572s]        [-1., -1.]])
[  572s] C = array([[1., 0., 0., 1., 0., 0.],
[  572s]        [0., 1., 0., 1., 0., 1.],
[  572s]        [0., 0., 1., 0., 0., 1.]])
[  572s] D = array([[0., 0.],
[  572s]        [0., 0.],
[  572s]        [0., 0.]])
[  572s] 
[  572s]     def ab08nX(self, ab08fun, A, B, C, D):
[  572s]         n = 6
[  572s]         m = 2
[  572s]         p = 3
[  572s]         # Check the observability and compute the ordered set of
[  572s]         # the observability indices (call the routine with M = 0).
[  572s]         out = ab08fun(n, 0, p, A, B, C, D)
[  572s]         nu, rank, dinfz, nkror, nkrol, infz, kronr, kronl, Af, Bf = out[:10]
[  572s]     
[  572s]         assert_equal(kronl[:nkrol], np.array([1, 2, 2]))
[  572s]         assert_equal(n-nu, 5)
[  572s]         assert_allclose(Af[:nu, :nu], np.array([[-1.]]))
[  572s]         # Check the controllability and compute the ordered set of
[  572s]         # the controllability indices (call the routine with P = 0)
[  572s]         out = ab08fun(n, m, 0, A, B, C, D)
[  572s]         nu, rank, dinfz, nkror, nkrol, infz, kronr, kronl, Af, Bf = out[:10]
[  572s]         assert_equal(kronr[:nkror], np.array([2, 3]))
[  572s]         assert_equal(n-nu, 5)
[  572s]         assert_allclose(Af[:nu, :nu], np.array([[-4.]]))
[  572s]         # Compute the structural invariants of the given system.
[  572s]         out = ab08fun(n, m, p, A, B, C, D)
[  572s]         nu, rank, dinfz, nkror, nkrol, infz, kronr, kronl, Af, Bf = out[:10]
[  572s]         assert_equal(nu, 2)
[  572s]         # Compute the invariant zeros of the given system.
[  572s]         w = eig(Af[:nu, :nu], Bf[:nu, :nu], left=False, right=False)
[  572s]         w_ref = np.array([-2., 1.])
[  572s] >       assert_allclose(self.normalize(w), self.normalize(w_ref))
[  572s] E       AssertionError: 
[  572s] E       Not equal to tolerance rtol=1e-07, atol=0
[  572s] E       
[  572s] E       x and y nan location mismatch:
[  572s] E        x: array([nan+nanj, nan+nanj])
[  572s] E        y: array([ 1. , -0.5])
[  572s] 
[  572s] ../../BUILDROOT/python-slycot-0.4.0.0-4.4.aarch64/usr/lib64/python3.9/site-packages/slycot/tests/test_ab08n.py:62: AssertionError
[  572s] _________________________ test_example[ab08nd_example] _________________________
[  572s] 
[  572s] examplefun = <function ab08nd_example at 0xffff9c4f8af0>
[  572s] capsys = <_pytest.capture.CaptureFixture object at 0xffff9c494670>
[  572s] recwarn = WarningsRecorder(record=True)
[  572s] 
[  572s]     @pytest.mark.parametrize('examplefun', examplefunctions)
[  572s]     #ignore numpy ABI change warnings https://github.com/numpy/numpy/pull/432
[  572s]     @pytest.mark.filterwarnings("ignore:numpy.dtype size changed")
[  572s]     @pytest.mark.filterwarnings("ignore:numpy.ufunc size changed")
[  572s]     def test_example(examplefun, capsys, recwarn):
[  572s]         """
[  572s]         Test the examples.
[  572s]     
[  572s]         Test that all the examples work, produce some (unchecked) output but no
[  572s]         exceptions or warnings.
[  572s]         """
[  572s]         examplefun()
[  572s]         captured = capsys.readouterr()
[  572s]     
[  572s]         # fail for first in order
[  572s]         failconditions = [
[  572s]             ((not len(captured.out) > 0), "Example {} did not print any results\n"),
[  572s]             (captured.err, "Example {} wrote to stderr\n"),
[  572s]             (check_warn(recwarn, examplefun), "Example {} produced a warning.\n")]
[  572s]         for failed, msgfmt  in failconditions:
[  572s]             if failed:
[  572s] >               pytest.fail(msgfmt.format(examplefun.__name__) +
[  572s]                             "Captured output:\n{}\n"
[  572s]                             "Captured stderr:\n{}\n"
[  572s]                             "Captured warnings:\n{}\n"
[  572s]                             "".format(captured.out,
[  572s]                                       captured.err,
[  572s]                                       [w.message for w in recwarn]))
[  572s] E               Failed: Example ab08nd_example produced a warning.
[  572s] E               Captured output:
[  572s] E               --- Example for ab08nd ---
[  572s] E               The finite invariant zeros are
[  572s] E               [nan+nanj nan+nanj]
[  572s] E               
[  572s] E               Captured stderr:
[  572s] E               
[  572s] E               Captured warnings:
[  572s] E               [RuntimeWarning('invalid value encountered in true_divide')]
[  572s] 
[  572s] ../../BUILDROOT/python-slycot-0.4.0.0-4.4.aarch64/usr/lib64/python3.9/site-packages/slycot/tests/test_examples.py:54: Failed
[  572s] _______________________ test_tb05ad.test_tb05ad_balance ________________________
[  572s] 
[  572s] self = <slycot.tests.test_tb05ad.test_tb05ad testMethod=test_tb05ad_balance>
[  572s] 
[  572s]     def test_tb05ad_balance(self):
[  572s]         """Test balancing in tb05ad.
[  572s]     
[  572s]         Tests for the cause of the problem reported in issue #11
[  572s]         balancing permutations were not correctly applied to the
[  572s]         C and D matrix.
[  572s]         """
[  572s]     
[  572s]         # find a good test case. Some sparsity,
[  572s]         # some zero eigenvalues, some non-zero eigenvalues,
[  572s]         # and proof that the 1st step, with dgebal, does some
[  572s]         # permutation and some scaling
[  572s]         crit = False
[  572s]         n = 8
[  572s]         while not crit:
[  572s]             A = np.random.randn(n, n)
[  572s]             A[np.random.uniform(size=(n, n)) > 0.35] = 0.0
[  572s]     
[  572s] >           Aeig = eig(A)[0]
[  572s] 
[  572s] ../../BUILDROOT/python-slycot-0.4.0.0-4.4.aarch64/usr/lib64/python3.9/site-packages/slycot/tests/test_tb05ad.py:208: 
[  572s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[  572s] /usr/lib64/python3.9/site-packages/scipy/linalg/decomp.py:247: in eig
[  572s]     _check_info(info, 'eig algorithm (geev)',
[  572s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[  572s] 
[  572s] info = 8, driver = 'eig algorithm (geev)'
[  572s] positive = 'did not converge (only eigenvalues with order >= %d have converged)'
[  572s] 
[  572s]     def _check_info(info, driver, positive='did not converge (LAPACK info=%d)'):
[  572s]         """Check info return value."""
[  572s]         if info < 0:
[  572s]             raise ValueError('illegal value in argument %d of internal %s'
[  572s]                              % (-info, driver))
[  572s]         if info > 0 and positive:
[  572s] >           raise LinAlgError(("%s " + positive) % (driver, info,))
[  572s] E           numpy.linalg.LinAlgError: eig algorithm (geev) did not converge (only eigenvalues with order >= 8 have converged)
[  572s] 
[  572s] /usr/lib64/python3.9/site-packages/scipy/linalg/decomp.py:1356: LinAlgError