Open Midnighter opened 3 months ago
Thanks, could you issue a PR to trigger CI?On Aug 4, 2024, at 17:04, Moritz E. Beber @.***> wrote: When I install biom-format and numpy >= 2 in an environment, I get a lot of errors of the sort: ValueError('numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject')
That is even though, version 2.1.16 promises numpy 2.0 compatibility. I think, the reason is that you do not restrict the numpy version in your build instructions and your wheels are compiled against numpy <2. [build-system] requires = ["setuptools","wheel", "numpy", "cython"]
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I can, but the nasty side-effect of that will be loss of compatibility with numpy <2. Is that what the project wants?
It isn’t but would like to see what happens. I’m OOO for the next few weeks so cannot look close, but would greatly appreciate any effort that could be contributed for numpy 1 and 2 supportOn Aug 4, 2024, at 17:58, Moritz E. Beber @.***> wrote: I can, but the nasty side-effect of that will be loss of compatibility with numpy <2. Is that what the project wants?
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same here but when installing with poetry:
File "/home/reveur/python/environmental/quickBio/ed.py", line 1, in <module>
import biom
File "/home/reveur/python/environmental/quickBio/.venv/lib/python3.11/site-packages/biom/__init__.py", line 51, in <module>
from .table import Table
File "/home/reveur/python/environmental/quickBio/.venv/lib/python3.11/site-packages/biom/table.py", line 196, in <module>
from ._filter import _filter
File "biom/_filter.pyx", line 1, in init biom._filter
ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
(this installation comming from scikit-bio using poetry)
NOTE: if i installing with pip, it works fine.
Report on Scikit-bio forum: https://github.com/scikit-bio/scikit-bio/issues/2101
When I install biom-format and numpy >= 2 in an environment, I get a lot of errors of the sort:
That is even though, version 2.1.16 promises numpy 2.0 compatibility.
I think, the reason is that you do not restrict the numpy version in your build instructions and your wheels are compiled against numpy <2.