Does stripy support numpy 2.x on PyPI (pip) ?

[jcannon-gplates]

I can see that stripy 2.3.3 on conda supports numpy 2.x (conda-forge/stripy-feedstock#21).

Do you know if stripy 2.3.3 on PyPI was also compiled with numpy 2.x ?

Because in GPlates/gplately#305 we're getting a numpy import error that appears to come from stripy. But if we downgrade numpy from 2.x to 1.x it's fine.

Building against numpy 2.x supports both numpy 1.x and 2.x at runtime. So you could force compilation against numpy 2.x with something like the following in your "pyproject.toml":

[build-system]
...
requires = [
    # Building against numpy 2.x supports both numpy 1.x and 2.x at *runtime*.
    'numpy>=2.0; python_version>="3.9"',
    # Python 3.8 is not supported by NumPy 2.x.
    # And *building* against NumPy 1.x does NOT support earlier (<1.x) versions at runtime.
    # So using the oldest supported NumPy for the Python version and platform.
    'oldest-supported-numpy; python_version<"3.9"',
    ...
]

...this is what I do in pygplates.

[julesghub]

Hi @jcannon-gplates, I'm not sure about the build on Pypi - I'm guessing it's compiled with numpy 1.x
@brmather & @lmoresi any comment?

I'm happy to kick off a numpy>=2 build via feedstock if you like.

[lmoresi]

No reason I can see to stay at 1.X, this is for @brmather to give final approval, though. L Prof Louis Moresi. +61 2 6125 5590 or +61 4 0333 1413 ***@***.******@***.***> ***@***.***?anonymous&ep=bwmEmailSignature> Book time to meet with ***@***.***?anonymous&ep=bwmEmailSignature>

…

________________________________ From: Julian Giordani ***@***.***> Sent: Monday, 3 February 2025 4:22 PM To: underworldcode/stripy ***@***.***> Cc: Louis Moresi ***@***.***>; Mention ***@***.***> Subject: Re: [underworldcode/stripy] Does stripy support numpy 2.x on PyPI (pip) ? (Issue #114) Hi @jcannon-gplates<https://github.com/jcannon-gplates>, I'm not sure about the build on Pypi - I'm guessing it's compiled with numpy 1.x @brmather<https://github.com/brmather> & @lmoresi<https://github.com/lmoresi> any comment? I'm happy to kick off a numpy>2 build via feedstock if you like. — Reply to this email directly, view it on GitHub<#114 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADABPI5HYAB33DFZ6WME5OD2N34JPAVCNFSM6AAAAABWJC4YEKVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDMMRZHE4TENBQG4>. You are receiving this because you were mentioned.Message ID: ***@***.***>

[jcannon-gplates]

I'm happy to kick off a numpy>2 build via feedstock if you like.

Thanks, but conda is all good - it looks like @brmather has numpy 2 working there. The code snippet above is really just for PyPI.

[julesghub]

oh i see. Unfortunately I don't have access to the stripy PyPI. @brmather or @lmoresi please grant.

[brmather]

@julesghub what is your PyPI username?

[brmather]

Just found it. jgiordani Has been added

[julesghub]

Thanks - I'll update it later today.

[jcannon-gplates]

Thanks - I'll update it later today.

Great, thanks!!

I see that "test_linear_interpolation" is failing. Gosh I hope that's not a NumPy 2 issue. No hurry for us, we can always set dependencies=["numpy<2"] in gplately, for our upcoming release (which is still a few weeks away) and revisit it in the future.

By the way, regarding 7cfce70, it's fine to leave dependencies = ["numpy>=1.16.0"] (rather than "numpy>=2.0.0"). That allows user's environment to work with numpy 1.x (or 2.x) at runtime.