Closed jakirkham closed 1 year ago
Could someone please add the "improvement" & "non-breaking" labels?
The docs build is failing, due to an issue where numpy v1.24.3 prevent holoviews to render cuxfilter docs charts, should be fixed in #479 here
The docs build is failing, due to an issue where numpy v1.24.3 prevent holoviews to render cuxfilter docs charts
@AjayThorve Is there an upstream bug in holoviews / numpy that we can link to in that PR so that we know when this limitation is lifted? This is important to track for all of RAPIDS, because cuxfilter
is installed by default in the rapids
metapackage and users may have environment conflicts that require NumPy 1.24. We've seen NumPy 1.24 compatibility requests for cudf and were able to lift this upper bound.
@AjayThorve Is there an upstream bug in holoviews / numpy that we can link to in that PR so that we know when this limitation is lifted? This is important to track for all of RAPIDS, because
cuxfilter
is installed by default in therapids
metapackage and users may have environment conflicts that require NumPy 1.24. We've seen NumPy 1.24 compatibility requests for cudf and were able to lift this upper bound.
Hey @bdice, so this issue is already fixed in datashader (https://github.com/holoviz/datashader/pull/1176), although it's not yet part of any release(the latest released datashader version is 0.14.4, and this PR is part of the 0.14.5 milestone). How do you suggest we proceed in this scenario?
Can we raise an issue on their repo requesting a release (and link that issue here)?
Have asked for an ETA for release here (https://discourse.holoviz.org/t/module-numpy-has-no-attribute-warnings/5402)
We have released datashader 1.15, and are working on adding it to conda-forge here. So hopefully you will soon be unblocked.
Conda-forge datashader-feedstock v0.15.0 PR has been merged so you should be able to proceed shortly.
Thanks all! 🙏
thanks everyone, #479 should fix the CI issues, and this PR should be good to merge after that
@jakirkham can you rebase with default
branch, that should fix the CI failures
Toggling for CI
Please update
dependencies.yaml
to align. We neednumpy
andnumba
pinnings and to make therun
section align with the conda list of run dependencies:
@bdice, I pushed the requested changes
/merge
Thanks all! 🙏
Align with the rest of RAPIDS on these requirements. Also needed for CUDA 12 support.