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@antonwolfy antonwolfy commented Sep 24, 2025

The PR is follow of #2589 to address remaining issue observing on Windows only.

There is data type mismatch in result returned for numpy.power, numpy.floor_divide, numpy.fmod, and numpy.remainder for "numpy < 2.1.0". They return int32, but expected int64.
Where dpnp behavior is aligned with "numpy >= 2.1.0".

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github-actions bot commented Sep 24, 2025

View rendered docs @ https://intelpython.github.io/dpnp/index.html

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Array API standard conformance tests for dpnp=0.19.0dev5=py313h509198e_4 ran successfully.
Passed: 1227
Failed: 0
Skipped: 9

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Coverage Status

coverage: 71.779%. remained the same
when pulling 93b1a3c on fix-ufunc-tests-with-numpy-2.0
into bea5156 on master.

@antonwolfy antonwolfy merged commit 222b50f into master Sep 24, 2025
81 checks passed
@antonwolfy antonwolfy deleted the fix-ufunc-tests-with-numpy-2.0 branch September 24, 2025 16:40
github-actions bot added a commit that referenced this pull request Sep 24, 2025
…2590)

The PR is follow of #2589 to address remaining issue observing on
Windows only.

There is data type mismatch in result returned for numpy.power,
numpy.floor_divide, numpy.fmod, and numpy.remainder for "numpy < 2.1.0".
They return int32, but expected int64.
Where dpnp behavior is aligned with "numpy >= 2.1.0". 222b50f
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3 participants