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vaex does not work with numpy==2.0.0 #2425

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iisakkirotko opened this issue Jun 17, 2024 · 11 comments
Open

vaex does not work with numpy==2.0.0 #2425

iisakkirotko opened this issue Jun 17, 2024 · 11 comments

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@iisakkirotko
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iisakkirotko commented Jun 17, 2024

Hi! Noticed an issue caused by vaex in our daily ci run on solara. This issue should break any new install of vaex where the version of numpy is not restricted.

Description:
vaex is not compatible with the newly released numpy==2.0.0.

Software information

  • Vaex version: any
  • Vaex was installed via: pip
  • OS: any

To Reproduce:

install vaex, which pulls in the newest numpy. Run import vaex. This results in

Traceback (most recent call last):  File "<stdin>", line 1, in <module>
  File "/Users/.../lib/python3.10/site-packages/vaex/__init__.py", line 45, in <module>
    import vaex.dataframe
  File "/Users/.../lib/python3.10/site-packages/vaex/dataframe.py", line 30, in <module>
    import vaex.grids
  File "/Users/.../lib/python3.10/site-packages/vaex/grids.py", line 3, in <module>
    import vaex.vaexfast
AttributeError: _ARRAY_API not found
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/.../lib/python3.10/site-packages/vaex/__init__.py", line 45, in <module>
    import vaex.dataframe
  File "/Users/.../lib/python3.10/site-packages/vaex/dataframe.py", line 30, in <module>
    import vaex.grids
  File "/Users/.../lib/python3.10/site-packages/vaex/grids.py", line 3, in <module>
    import vaex.vaexfast
ImportError: numpy.core.multiarray failed to import

with the following hint:

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
iisakkirotko added a commit to widgetti/solara that referenced this issue Jun 21, 2024
`vaex` is also added as a dependency here, meaning if a user installed `solara[dev]` without the documentation extra they would still get a broken installation.

See vaexio/vaex#2425 for the source of the issue.
@ddelange
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ddelange commented Sep 11, 2024

for now, vaex-core will be pinning numpy~=1.17 in #2331 (it's currently numpy>=1.16 so it incorrectly allows numpy v2)

@EwoutH
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EwoutH commented Sep 11, 2024

Would it work to pin numpy<2? That way you can use some more modern releases (up to NumPy 1.26.4)

@maartenbreddels
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I think that numpy~=1.17 means >=1.17, <2 right? https://github.com/vaexio/vaex/blob/e3e1842d3c3d70a4d33dd4f80cb71ba12943f721/packages/vaex-core/setup.py

Good to check before we release :)

@EwoutH
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EwoutH commented Sep 11, 2024

I think that numpy~=1.17 only allows upgrading within the 1.17.x range, meaning versions like 1.17.1, 1.17.2, etc., but not 1.18.0 or higher.

Edit: Nevermind, I think it does allow <2.0.

https://peps.python.org/pep-0440/#compatible-release

@maartenbreddels
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numpy~=1.17.0 does mean what you mentioned, it's different from the JS ecosystem (npm) where they use ^ and ~.

@ddelange
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ddelange commented Sep 12, 2024

yes, and poetry adds caret (numpy^1.17.1). it's nice to exclude everything that came before that specific patch release, but still open up towards the next major release. this is not possible with the PEP440 compatible release clause, which is sometimes a bit annoying.

@ddelange
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ddelange commented Sep 16, 2024

fyi to support Python 3.13, vaex will need to drop python 3.8, and move build-system to numpy 2.1+ ref https://github.com/scipy/oldest-supported-numpy/pull/86/files

runtime can still support both v2 and recent versions of v1, see pandas for instance

@maartenbreddels
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Maybe do 1 release with < 2, and the next release go to 2.1+?

@ddelange
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ddelange commented Sep 16, 2024

apart from #2434 the current state (python 3.8 - 3.12 support with numpy v1 support) is ready for release as for me.

this ticket should stay open, bumping numpy to v2 will need some work I think

@maartenbreddels
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Indeed.
I think next week, we should try a release first with what is currently in master (module a few ci fixes).
Would be nice to get numpy 2 support in for the next version.

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