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Fix the upstream-dev pandas build failure #4138
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I just noticed that the |
Thanks a lot for doing all these @keewis , I think we all appreciate the efforts. I hope to start helping again this summer. |
Test failures seem real and point to dask meta issues? Shall we merge this and open another issue for these sparse failures? |
there are also failures that don't seem to involve 👍 on merging, but I'd suggest opening two issues: one for the |
Sounds good. Thanks @keewis |
…o-combine * 'master' of github.com:pydata/xarray: (81 commits) use builtin python types instead of the numpy alias (pydata#4170) Revise pull request template (pydata#4039) pint support for Dataset (pydata#3975) drop eccodes in docs (pydata#4162) Update issue templates inspired/based on dask (pydata#4154) Fix failing upstream-dev build & remove docs build (pydata#4160) Improve typehints of xr.Dataset.__getitem__ (pydata#4144) provide a error summary for assert_allclose (pydata#3847) built-in accessor documentation (pydata#3988) Recommend installing cftime when time decoding fails. (pydata#4134) parameter documentation for DataArray.sel (pydata#4150) speed up map_blocks (pydata#4149) Remove outdated note from datetime accessor docstring (pydata#4148) Fix the upstream-dev pandas build failure (pydata#4138) map_blocks: Allow passing dask-backed objects in args (pydata#3818) keep attrs in reset_index (pydata#4103) Fix open_rasterio() for WarpedVRT with specified src_crs (pydata#4104) Allow non-unique and non-monotonic coordinates in get_clean_interp_index and polyfit (pydata#4099) update numpy's intersphinx url (pydata#4117) xr.infer_freq (pydata#4033) ...
As pointed out by @TomAugspurger in #4133 (comment), there are pre-built nightly wheels for
numpy
,scipy
andpandas
in the scipy-wheels-nightly repository.Not sure how frequently these are updated, though, at least the
numpy
wheel doesn't really seem to be built daily.