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Merge pull request #155 from asmeurer/numpy-ci-fixes
Update NumPy CI for NumPy 2.0
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,11 @@ | ||
| name: Array API Tests (NumPy 1.26) | ||
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| on: [push, pull_request] | ||
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| jobs: | ||
| array-api-tests-numpy-latest: | ||
| uses: ./.github/workflows/array-api-tests.yml | ||
| with: | ||
| package-name: numpy | ||
| package-version: '== 1.26.*' | ||
| xfails-file-extra: '-1-26' |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,5 +1,17 @@ | ||
| # FFT isn't conformant | ||
| array_api_tests/test_fft.py | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.fft] | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.ifft] | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.fftn] | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.ifftn] | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.rfft] | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.irfft] | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.rfftn] | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.irfftn] | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.hfft] | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.ihfft] | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.fftfreq] | ||
| array_api_tests/test_signatures.py::test_extension_func_signature[fft.rfftfreq] | ||
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| # slow and not implemented in dask | ||
| array_api_tests/test_linalg.py::test_matrix_power |
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| Original file line number | Diff line number | Diff line change |
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| # asarray(copy=False) is not yet implemented | ||
| array_api_tests/test_creation_functions.py::test_asarray_arrays | ||
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| # finfo(float32).eps returns float32 but should return float | ||
| array_api_tests/test_data_type_functions.py::test_finfo[float32] | ||
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| # Array methods and attributes not already on np.ndarray cannot be wrapped | ||
| array_api_tests/test_has_names.py::test_has_names[array_method-__array_namespace__] | ||
| array_api_tests/test_has_names.py::test_has_names[array_method-to_device] | ||
| array_api_tests/test_has_names.py::test_has_names[array_attribute-device] | ||
| array_api_tests/test_has_names.py::test_has_names[array_attribute-mT] | ||
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| # Array methods and attributes not already on np.ndarray cannot be wrapped | ||
| array_api_tests/test_signatures.py::test_array_method_signature[__array_namespace__] | ||
| array_api_tests/test_signatures.py::test_array_method_signature[to_device] | ||
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| # NumPy deviates in some special cases for floordiv | ||
| array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is +infinity and isfinite(x2_i) and x2_i > 0) -> +infinity] | ||
| array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is +infinity and isfinite(x2_i) and x2_i < 0) -> -infinity] | ||
| array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity] | ||
| array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is -infinity and isfinite(x2_i) and x2_i < 0) -> +infinity] | ||
| array_api_tests/test_special_cases.py::test_binary[floor_divide(isfinite(x1_i) and x1_i > 0 and x2_i is -infinity) -> -0] | ||
| array_api_tests/test_special_cases.py::test_binary[floor_divide(isfinite(x1_i) and x1_i < 0 and x2_i is +infinity) -> -0] | ||
| array_api_tests/test_special_cases.py::test_binary[__floordiv__(x1_i is +infinity and isfinite(x2_i) and x2_i > 0) -> +infinity] | ||
| array_api_tests/test_special_cases.py::test_binary[__floordiv__(x1_i is +infinity and isfinite(x2_i) and x2_i < 0) -> -infinity] | ||
| array_api_tests/test_special_cases.py::test_binary[__floordiv__(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity] | ||
| array_api_tests/test_special_cases.py::test_binary[__floordiv__(x1_i is -infinity and isfinite(x2_i) and x2_i < 0) -> +infinity] | ||
| array_api_tests/test_special_cases.py::test_binary[__floordiv__(isfinite(x1_i) and x1_i > 0 and x2_i is -infinity) -> -0] | ||
| array_api_tests/test_special_cases.py::test_binary[__floordiv__(isfinite(x1_i) and x1_i < 0 and x2_i is +infinity) -> -0] | ||
| array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(x1_i is +infinity and isfinite(x2_i) and x2_i > 0) -> +infinity] | ||
| array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(x1_i is +infinity and isfinite(x2_i) and x2_i < 0) -> -infinity] | ||
| array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity] | ||
| array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(x1_i is -infinity and isfinite(x2_i) and x2_i < 0) -> +infinity] | ||
| array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(isfinite(x1_i) and x1_i > 0 and x2_i is -infinity) -> -0] | ||
| array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(isfinite(x1_i) and x1_i < 0 and x2_i is +infinity) -> -0] | ||
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| # https://github.com/numpy/numpy/issues/21213 | ||
| array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -infinity and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +infinity] | ||
| array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -0 and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +0] | ||
| 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] | ||
| 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] | ||
| array_api_tests/meta/test_hypothesis_helpers.py::test_symmetric_matrices | ||
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| # The test suite is incorrectly checking sums that have loss of significance | ||
| # (https://github.com/data-apis/array-api-tests/issues/168) | ||
| array_api_tests/test_statistical_functions.py::test_sum | ||
| array_api_tests/test_statistical_functions.py::test_prod |
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