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shoyer
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LGTM, assuming this worked properly in this PR itself :)
keewis
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looks good to me. I thought we did that already (then again, there recently was someone getting an e-mail about failed CI), but I personally disabled all CI runs on the xarray fork (so instead of skipping the CI it is actually never run)
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I think it's working properly. I'm not seeing new CI runs for this PR in my fork
As far as I can tell, we did it for the upstream-dev CI only |
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Thank you both for the feedback! Merging this shortly... |
dcherian
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* upstream/master: (23 commits) combine keep_attrs and combine_attrs in apply_ufunc (pydata#5041) Explained what a deprecation cycle is (pydata#5289) Code cleanup (pydata#5234) FacetGrid docstrings (pydata#5293) Add whats new for dataset interpolation with non-numerics (pydata#5297) Allow dataset interpolation with different datatypes (pydata#5008) Flexible indexes: add Index base class and xindexes properties (pydata#5102) pre-commit: autoupdate hook versions (pydata#5280) convert the examples for apply_ufunc to doctest (pydata#5279) fix the new whatsnew section Ensure `HighLevelGraph` layers are `Layer` instances (pydata#5271) New whatsnew section Release-workflow: Bug fix (pydata#5273) more maintenance on whats-new.rst (pydata#5272) v0.18.0 release highlights (pydata#5266) Fix exception when display_expand_data=False for file-backed array. (pydata#5235) Warn ignored keep attrs (pydata#5265) Disable workflows on forks (pydata#5267) fix the built wheel test (pydata#5270) pypi upload workflow maintenance (pydata#5269) ...
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Currently, the CI runs both on a user's fork and
pydata/xarray. This leads to duplicate runs and the user is flooded with GitHub notifications in case of failures... This PR addresses this issue by making sure the workflows are triggered onpydata/xarrayonly.