Commits on Nov 23, 2021

1. TST: mark an mpmath test that appears to hang as xslow …

   Unclear whether or not this only happens on macOS arm64.

   

   rgommers committed Nov 23, 2021
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2. TST: skip a failing arpack test on macOS arm64 …

   Failure (see scipygh-15077):
   ```
   _______________________________________________________ test_standard_nonsymmetric_no_convergence ________________________________________________________
   scipy/sparse/linalg/eigen/arpack/tests/test_arpack.py:505: in test_standard_nonsymmetric_no_convergence
       w, v = eigs(m, 4, which='LM', v0=m[:, 0], maxiter=5, tol=tol)
           atol       = 4.440892098500626e-13
           k          = 0
           m          = array([[0.19151945+8.93352260e-01j, 0.62210877+4.48584019e-01j,
           0.43772774+2.44383579e-01j, 0.78535858+8.14172...8112992 +8.68899271e-01j, 0.8727098 +3.75823074e-01j,
           0.66598823+2.81110432e-01j, 0.58878655+1.01350637e-01j]])
           rtol       = 4.440892098500626e-13
           tol        = 0
   scipy/sparse/linalg/eigen/arpack/arpack.py:1346: in eigs
       params.iterate()
           A          = array([[0.19151945+8.93352260e-01j, 0.62210877+4.48584019e-01j,
           0.43772774+2.44383579e-01j, 0.78535858+8.14172...8112992 +8.68899271e-01j, 0.8727098 +3.75823074e-01j,
           0.66598823+2.81110432e-01j, 0.58878655+1.01350637e-01j]])
           M          = None
           M_matvec   = None
           Minv       = None
           Minv_matvec = None
           OPinv      = None
           OPpart     = None
           k          = 4
           matvec     = <bound method LinearOperator.matvec of <30x30 MatrixLinearOperator with dtype=complex128>>
           maxiter    = 5
           mode       = 1
           n          = 30
           ncv        = None
           params     = <scipy.sparse.linalg.eigen.arpack.arpack._UnsymmetricArpackParams object at 0x178b76280>
           return_eigenvectors = True
           sigma      = None
           tol        = 0
           v0         = array([0.19151945+0.89335226j, 0.86912739+0.15381227j,
          0.28525096+0.13413814j, 0.15257277+0.3618351j ,
          0...571851j,
          0.98436901+0.65821638j, 0.59697377+0.94320689j,
          0.37845461+0.79574615j, 0.02798429+0.06622806j])
           which      = 'LM'
   scipy/sparse/linalg/eigen/arpack/arpack.py:756: in iterate
       self._raise_no_convergence()
           self       = <scipy.sparse.linalg.eigen.arpack.arpack._UnsymmetricArpackParams object at 0x178b76280>
           xslice     = slice(60, 90, None)
           yslice     = slice(30, 60, None)
   scipy/sparse/linalg/eigen/arpack/arpack.py:376: in _raise_no_convergence
       raise ArpackNoConvergence(msg % (num_iter, k_ok, self.k), ev, vec)
   E   scipy.sparse.linalg.eigen.arpack.arpack.ArpackNoConvergence: ARPACK error -1: No convergence (6 iterations, 0/4 eigenvectors converged) [ARPACK error -14: ZNAUPD did not find any eigenvalues to sufficient accuracy.]
           ev         = array([], dtype=float64)
           k_ok       = 0
           msg        = 'No convergence (%d iterations, %d/%d eigenvectors converged) [ARPACK error -14: ZNAUPD did not find any eigenvalues to sufficient accuracy.]'
           num_iter   = 6
           self       = <scipy.sparse.linalg.eigen.arpack.arpack._UnsymmetricArpackParams object at 0x178b76280>
           vec        = array([], shape=(30, 0), dtype=float64)
   
   The above exception was the direct cause of the following exception:
   scipy/sparse/linalg/eigen/arpack/tests/test_arpack.py:510: in test_standard_nonsymmetric_no_convergence
       raise AssertionError("Spurious no-eigenvalues-found case") from err
   E   AssertionError: Spurious no-eigenvalues-found case
           atol       = 4.440892098500626e-13
           k          = 0
           m          = array([[0.19151945+8.93352260e-01j, 0.62210877+4.48584019e-01j,
           0.43772774+2.44383579e-01j, 0.78535858+8.14172...8112992 +8.68899271e-01j, 0.8727098 +3.75823074e-01j,
           0.66598823+2.81110432e-01j, 0.58878655+1.01350637e-01j]])
           rtol       = 4.440892098500626e-13
           tol        = 0
   ```

   

   rgommers committed Nov 23, 2021
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3. TST: skip failing integrate tests on macOS arm64 - zvode issue …

   See scipygh-15077 for details. This seems broken in 1.7.x, but perhaps
   not in master (at least with the pre-release wheels). Could be a case of
   different build dependencies installed, unclear. Either way,
   zvode is failing in this (conda-forge) build setup, and skipping
   these tests seems pragmatic.

   

   rgommers committed Nov 23, 2021
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