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This test is causing issues on ARM architecture for conda-forge. Should it be skipped for that arch for now? See here: conda-forge/scipy-feedstock#121 (comment)
=================================== FAILURES =================================== ___________________________ TestLGMRES.test_arnoldi ____________________________ [gw16] linux -- Python 3.8.0 $PREFIX/bin/python self = <scipy.sparse.linalg.isolve.tests.test_lgmres.TestLGMRES object at 0xffff85668970> @pytest.mark.skipif(python_implementation() == 'PyPy', reason="Fails on PyPy CI runs. See #9507") def test_arnoldi(self): np.random.rand(1234) A = eye(2000) + rand(2000, 2000, density=5e-4) b = np.random.rand(2000) # The inner arnoldi should be equivalent to gmres with suppress_warnings() as sup: sup.filter(DeprecationWarning, ".*called without specifying.*") x0, flag0 = lgmres(A, b, x0=zeros(A.shape[0]), inner_m=15, maxiter=1) x1, flag1 = gmres(A, b, x0=zeros(A.shape[0]), restart=15, maxiter=1) assert_equal(flag0, 1) > assert_equal(flag1, 1) E AssertionError: E Items are not equal: E ACTUAL: 0 E DESIRED: 1 A = <2000x2000 sparse matrix of type '<class 'numpy.float64'>' with 4000 stored elements in Compressed Sparse Row format> b = array([0.66251662, 0.41577372, 0.78795017, ..., 0.85405312, 0.28446381, 0.46928199]) flag0 = 1 flag1 = 0 self = <scipy.sparse.linalg.isolve.tests.test_lgmres.TestLGMRES object at 0xffff85668970> sup = <numpy.testing._private.utils.suppress_warnings object at 0xffff85668af0> x0 = array([0.57539138, 0.34812065, 0.78646772, ..., 0.39001543, 0.28446385, 0.45351755]) x1 = array([0.57539138, 0.34812065, 0.78646772, ..., 0.39001543, 0.28446385, 0.45351755]) ../_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/python3.8/site-packages/scipy/sparse/linalg/isolve/tests/test_lgmres.py:110: AssertionError
It seems we already skip it for PyPy.
PyPy
The text was updated successfully, but these errors were encountered:
I noted that this test isn't touched by #11181
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This test is causing issues on ARM architecture for conda-forge. Should it be skipped for that arch for now? See here: conda-forge/scipy-feedstock#121 (comment)
It seems we already skip it for
PyPy
.The text was updated successfully, but these errors were encountered: