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TST, CI: Skip platform dependent array API failures + adding windows and macOS env in CI #240

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Merged
ev-br merged 13 commits into from
Aug 16, 2026
Merged

TST, CI: Skip platform dependent array API failures + adding windows and macOS env in CI #240

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4318e5b
Skip platform dependent array API failures
prady0t Aug 10, 2026
cf9cd80
Apply suggestions from code review
ev-br Aug 10, 2026
fe6145d
Adding windows and macos CI environments
prady0t Aug 10, 2026
1864e72
Merge branch 'add-test-skips' of https://github.com/prady0t/array-api…
prady0t Aug 10, 2026
a49463a
see which tests are failing where
prady0t Aug 16, 2026
03463d1
add platform specific xfail files
prady0t Aug 16, 2026
9feab6a
avoid unicode
prady0t Aug 16, 2026
1646c6d
CI specific failures on macos
prady0t Aug 16, 2026
895361a
Inspect windows failures
prady0t Aug 16, 2026
dbf0e32
address numpy 2.0 fixes
prady0t Aug 16, 2026
3ce8fc8
Update array-api-tests-macos-xfails.txt
prady0t Aug 16, 2026
51b70d0
Update array-api-tests-windows-xfails.txt
prady0t Aug 16, 2026
8106b0a
removed additional # lines
prady0t Aug 16, 2026
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9 changes: 9 additions & 0 deletions array-api-tests-xfails.txt
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Expand Up @@ -51,3 +51,12 @@ array_api_tests/test_dlpack.py::test_dunder_dlpack

# NumPy 1.26: TypeError: numpy.from_dlpack() takes no keyword arguments
array_api_tests/test_dlpack.py::test_from_dlpack

# Platform specific issues tracked in NumPy here: https://github.com/numpy/numpy/issues/32234
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array_api_tests/test_special_cases.py::test_unary[atanh(real(x_i) is +0 and imag(x_i) is NaN) -> +0 + NaN j]
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array_api_tests/test_special_cases.py::test_unary[atanh(real(x_i) is 1 and imag(x_i) is +0) -> +infinity + 0j]
array_api_tests/test_special_cases.py::test_unary[atanh(real(x_i) is +infinity and imag(x_i) is NaN) -> +0 + NaN j]
array_api_tests/test_special_cases.py::test_unary[atanh(real(x_i) is NaN and imag(x_i) is +infinity) -> \xb10 + \u03c0j/2]
array_api_tests/test_special_cases.py::test_unary[tanh(real(x_i) is +0 and imag(x_i) is +infinity) -> +0 + NaN j]
array_api_tests/test_special_cases.py::test_unary[tanh(real(x_i) is +0 and imag(x_i) is NaN) -> +0 + NaN j]
array_api_tests/test_operators_and_elementwise_functions.py::test_sqrt
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