test_clip: make sure min and max have the same dtype as x
#360
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Per the spec: 'should have the same dtype as x'
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Run tests with |
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Tested the branch (running with 2_000 examples) locally and can verify that it resolves gh-359 for dpctl.tensor |
This was referenced Apr 10, 2025
oleksandr-pavlyk
approved these changes
Apr 10, 2025
Definitely the spec should clarify that int scalars should be cast to float. |
crusaderky
reviewed
Apr 11, 2025
| @@ -987,17 +987,15 @@ def test_clip(x, data): | |||
| base_shape=x.shape), | |||
| label="min.shape, max.shape") | |||
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| dtypes = hh.real_floating_dtypes if dh.is_float_dtype(x.dtype) else hh.int_dtypes | |||
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| min = data.draw(st.one_of( | |||
| st.none(), | |||
| hh.scalars(dtypes=st.just(x.dtype)), | |||
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note: this misses out on the use case clip(Array[float], int)
#364
crusaderky
approved these changes
Apr 11, 2025
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Okay, let's merge this as approved for this seems to fix rather annoying failures. |
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closes gh-359, closes gh-339
Per the spec: 'should have the same dtype as x': https://data-apis.org/array-api/latest/API_specification/generated/array_api.clip.html
The spec is not very clear on whether
minandmaxcan beintscalars for a real-valuedxarray, should probably clarify in the spec: