Closed regro-cf-autotick-bot closed 3 years ago
Hi! This is the friendly automated conda-forge-linting service.
I just wanted to let you know that I linted all conda-recipes in your PR (recipe
) and found it was in an excellent condition.
Hi! This is the friendly automated conda-forge-linting service.
I wanted to let you know that I linted all conda-recipes in your PR (recipe
) and found some lint.
Here's what I've got...
For recipe:
Hi! This is the friendly automated conda-forge-linting service.
I just wanted to let you know that I linted all conda-recipes in your PR (recipe
) and found it was in an excellent condition.
Now just need to wait for llvmlite to release.
@conda-forge-admin, please restart CI
@conda-forge-admin, please re-render
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@conda-forge-admin, please re-render
From CI:
conda.exceptions.ResolvePackageNotFound:
- numpy[version='<1.19,>=1.21.2,<2.0a0']
Hi! This is the friendly automated conda-forge-linting service.
I wanted to let you know that I linted all conda-recipes in your PR (recipe
) and found some lint.
Here's what I've got...
For recipe:
requirements: build: numpy >= 1.11
should not contain a space between relational operator and the version, i.e. numpy >=1.11
Hi! This is the friendly automated conda-forge-linting service.
I just wanted to let you know that I linted all conda-recipes in your PR (recipe
) and found it was in an excellent condition.
raise ImportError("Numba needs NumPy 1.20 or less")
That's a pretty clear limit. I'll add a limit when I get back unless some beats me to it or I can do it from my phone.
Do we know that package is setting numpy[version='<1.19,>=1.21.2,<2.0a0']
That might be a problem on Python 3.9, which collides with the supported NumPy's.
Seems to me itβs not building with the minimum. Wonder if I broke that with the build minimum.
@conda-forge-admin, please re-render
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Why am I only seeing linux_ppc64le (travis) and linux_aarch54 (drone)? Hmm, anyway, Python 3.9 is failing with:
"/drone/src/build_artifacts/numba_1629645725199/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/python3.9/site-packages/numba/core/pythonapi.py", line 12, in <module>
1202s
3174 from numba import _helperlib
1202s
3175 ImportError: /drone/src/build_artifacts/numba_1629645725199/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/python3.9/site-packages/numba/_helperlib.cpython-39-aarch64-linux-gnu.so: undefined symbol: pthread_atfork
The other two versions of Python are fine.
Maybe numba's build system is assuming there's a -lpthreads
from distutils, but there isn't? https://github.com/scipy/scipy/issues/11323 looks similar.
Looks like this was addressed relatively recently upstream (though after the release) with PR ( https://github.com/numba/numba/pull/7312 ). Have gone ahead and included that patch and applied it above. Let's see how that does π
Why am I only seeing linux_ppc64le (travis) and linux_aarch54 (drone)?
Please see this issue ( https://github.com/conda-forge/status/issues/117 )
Edit: The last build can be seen here: https://dev.azure.com/conda-forge/feedstock-builds/_build/results?buildId=366645&view=results
Looks like that fixed some of the jobs, but curiously one of the ARM jobs still fails.
@stuartarchibald would you be able to help us out here? π No worries if not. Just kind of stumped
I just found out about this from @tdegeus on a different feedstock.
The "fix" in numba upstream seems incomplete, it's not just Aarch64. I think it needs to be activated for Python 3.9(.5?)(+?).
Right it's been added to all Linux jobs. Please see this comment ( https://github.com/conda-forge/numba-feedstock/pull/83#pullrequestreview-735697875 ). It does seem to fix PPC, but not ARM. The x86 jobs on Azure look ok as well.
FYI Azure jobs statuses seem to be showing up π
@stuartarchibald, would you be able to help advise us here? π If not, no worries
For context, we seem to be running into the pthread_atfork
issue seen upstream, we applied the same solution to attempt to fix it. This worked everywhere except for ARM. Kind of stumped as to what we are missing here. Please let us know if you spot anything.
@conda-forge/numba I think this is ready to mereg
Thanks! We should make sure upstream is aware of the issue as well, since it wasn't fully solved there.
@stuartarchibald, would you be able to help advise us here? slightly_smiling_face If not, no worries
For context, we seem to be running into the
pthread_atfork
issue seen upstream, we applied the same solution to attempt to fix it. This worked everywhere except for ARM. Kind of stumped as to what we are missing here. Please let us know if you spot anything.
@jakirkham apologies for the slow reply, is this now fixed?
I think @chrisburr worked around it above in commit ( https://github.com/conda-forge/numba-feedstock/pull/83/commits/d44d676be3f3d4f176cde26008bc81de30298695 ) by passing the same flag in the test phase
I think @chrisburr worked around it above in commit ( d44d676 ) by passing the same flag in the test phase
Great, thanks for confirming!
In Numba, the addition of the pthread flag should happen in more architectures (probably depended on Python version, 3.9.5 is the first buggy one, IIUC), and it should happen in such a way that it's not needed in the test phase (either by being added by the tests, or being added wherever it's coming from in the build infrastructure).
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.Analysis of the source code shows a discrepancy between the library's imports and the package's stated requirements in the meta.yaml.
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