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arokem avatar arokem commented on July 29, 2024

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effigies avatar effigies commented on July 29, 2024

That sounds like a good idea.

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arokem avatar arokem commented on July 29, 2024

Is this resolved by #217 ?

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larsoner avatar larsoner commented on July 29, 2024

Oh I guess not. Wheels are built against 2.0 but probably not tested against 2.0 actually 🤦

For example there are still np.sctypes in the code which no longer exists. I can open a quick PR to at least have one CI run with NumPy 2.0rc2 if that would help

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effigies avatar effigies commented on July 29, 2024

#217 also didn't resolve #219 (edit: fixed issue number). I think we can add the nitime test suite to the cibuildwheel post-build step, to avoid adding a new entry/dimension to the regular test matrix.

https://cibuildwheel.pypa.io/en/stable/options/#test-command

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larsoner avatar larsoner commented on July 29, 2024

I think we can add the nitime test suite to the cibuildwheel post-build step, to avoid adding a new entry/dimension to the regular test matrix.

Good call, I'll add this to #221. It's not 100% trivial, though, because 2.0 hasn't officially landed yet. I could separate the tool.cibuildwheel.test-requires to use different NumPy versions for testing different wheels if that would help. This is similar to how in #221 I just install NumPy 2.1.dev for the Python 3.11 run only.

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effigies avatar effigies commented on July 29, 2024

Is aarch only supported by numpy 2? I think they've had wheels for ages, and we should be able to test against numpy 1.

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larsoner avatar larsoner commented on July 29, 2024

Is aarch only supported by numpy 2? I think they've had wheels for ages, and we should be able to test against numpy 1.

No it's supported on 1.26 for example as well. I was just saying "enabling tests during wheel build" won't trivially solve the "need to test against NumPy 2.0" problem. But agreed that enabling tests during wheel building would help with #219 either way.

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effigies avatar effigies commented on July 29, 2024

Sorry, yeah. I was just going where the conversation was, and looking at the issue title, I see why you assumed numpy 2.0.

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