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env :
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ARRAY_API_TESTS_MODULE : array_api_strict
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run : |
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- pytest -v -rxXfE --skips-file numpy -skips.txt array_api_tests/
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+ pytest -v -rxXfE --skips-file array-api-strict -skips.txt array_api_tests/
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# We also have internal tests that isn't really necessary for adopters
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pytest -v -rxXfE meta_tests/
Original file line number Diff line number Diff line change @@ -138,9 +138,9 @@ issues](https://github.com/data-apis/array-api-tests/issues/) to us.
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## Running on CI
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- See our existing [ GitHub Actions workflow for
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- Numpy ] ( https://github.com/data-apis/array-api-tests/blob/master/.github/workflows/numpy.yml )
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- for an example of using the test suite on CI .
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+ See our existing [ GitHub Actions workflow for ` array-api-strict ` ] ( https://github.com/data-apis/array-api-tests/blob/master/.github/workflows/test.yml )
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+ for an example of using the test suite on CI. Note [ ` array-api-strict ` ] ( https://github.com/data-apis/array-api-strict )
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+ is an implementation of the array API that uses NumPy under the hood .
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### Releases
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+ # Known special case issue in NumPy. Not worth working around here
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+ # https://github.com/numpy/numpy/issues/21213
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+ array_api_tests/test_special_cases.py::test_iop[__ipow__(x1_i is -infinity and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +infinity]
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+ array_api_tests/test_special_cases.py::test_iop[__ipow__(x1_i is -0 and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +0]
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+
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+ # The test suite is incorrectly checking sums that have loss of significance
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+ # (https://github.com/data-apis/array-api-tests/issues/168)
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+ array_api_tests/test_statistical_functions.py::test_sum
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