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| author | Sebastian Berg <sebastian@sipsolutions.net> | 2022-04-20 21:38:33 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-04-20 21:38:33 +0200 |
| commit | f996a2b6270ff5d300aee7294f4d3d952e521cf8 (patch) | |
| tree | 54fc06a14ded8d17ac424c1f96c37c03937f8186 /numpy/linalg/tests | |
| parent | dc5aba5f04b7a59b49a6ffd4b635ba3d28de1469 (diff) | |
| parent | 8c8610697ea784d7b7816bdb7655e82dfe2a4b8f (diff) | |
| download | numpy-f996a2b6270ff5d300aee7294f4d3d952e521cf8.tar.gz | |
Merge pull request #20669 from DWesl/cygwin-use-reference-blas
CI, TST: Run Cygwin CI with Netlib reference BLAS and re-enable linalg tests
Diffstat (limited to 'numpy/linalg/tests')
| -rw-r--r-- | numpy/linalg/tests/test_linalg.py | 15 |
1 files changed, 0 insertions, 15 deletions
diff --git a/numpy/linalg/tests/test_linalg.py b/numpy/linalg/tests/test_linalg.py index f27b4be7f..ebbd92539 100644 --- a/numpy/linalg/tests/test_linalg.py +++ b/numpy/linalg/tests/test_linalg.py @@ -467,11 +467,6 @@ class TestSolve(SolveCases): x = np.array([[1, 0.5], [0.5, 1]], dtype=dtype) assert_equal(linalg.solve(x, x).dtype, dtype) - @pytest.mark.xfail(sys.platform == 'cygwin', - reason="Consistently fails on CI.") - def test_sq_cases(self): - super().test_sq_cases() - def test_0_size(self): class ArraySubclass(np.ndarray): pass @@ -539,11 +534,6 @@ class TestInv(InvCases): x = np.array([[1, 0.5], [0.5, 1]], dtype=dtype) assert_equal(linalg.inv(x).dtype, dtype) - @pytest.mark.xfail(sys.platform == 'cygwin', - reason="Consistently fails on CI.") - def test_sq_cases(self): - super().test_sq_cases() - def test_0_size(self): # Check that all kinds of 0-sized arrays work class ArraySubclass(np.ndarray): @@ -1791,9 +1781,6 @@ class TestQR: class TestCholesky: # TODO: are there no other tests for cholesky? - @pytest.mark.xfail( - sys.platform == 'cygwin', reason="Consistently fails in CI" - ) @pytest.mark.parametrize( 'shape', [(1, 1), (2, 2), (3, 3), (50, 50), (3, 10, 10)] ) @@ -2137,8 +2124,6 @@ class TestTensorsolve: b = np.ones(a.shape[:2]) linalg.tensorsolve(a, b, axes=axes) - @pytest.mark.xfail(sys.platform == 'cygwin', - reason="Consistently fails on CI") @pytest.mark.parametrize("shape", [(2, 3, 6), (3, 4, 4, 3), (0, 3, 3, 0)], ) |