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Upstream CI: limit runtime - #4946
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keewis
commented
Feb 23, 2021
you can probably limit that to 1.5h or 2h: our CI currently takes about 30 minutes to run so if it suddenly takes more than double there is something wrong, anyway |
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keewis
commented
Feb 23, 2021
I seem to have misunderstood the purpose of |
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The test status becomes xarray/.github/workflows/parse_logs.py Line 21 in 0f65307 lambdal: l.startswith("FAILED") orl.startswith("ERROR"), up_to_section_content |
mathause
commented
Feb 23, 2021
The timeout seems to work. If there are too many tests that take long the solution might not help but for the current problem it seems to be fine. I am merging so we catch the Upstream dev run in 1.5 h to see if the test now fails successfully ;-) |
mathause
commented
Feb 24, 2021
Thanks for the reviews @keewis |
* upstream/master: (46 commits) pin netCDF4=1.5.3 in min-all-deps (pydata#4982) fix matplotlib errors for single level discrete colormaps (pydata#4256) Adapt exception handling in CFTimeIndex.__sub__ and __rsub__ (pydata#5006) Update options.py (pydata#5000) Adjust tests to use updated pandas syntax for offsets (pydata#4537) add a combine_attrs parameter to Dataset.merge (pydata#4895) Support for dask.graph_manipulation (pydata#4965) raise on passing axis to Dataset.reduce methods (pydata#4940) Whatsnew for 0.17.1 (pydata#4963) Refinements to how-to-release (pydata#4964) DOC: add example for reindex (pydata#4956) DOC: rm np import (pydata#4949) Add 0.17.0 release notes (pydata#4953) document update as inplace (pydata#4932) bump the dependencies (pydata#4942) Upstream CI: limit runtime (pydata#4946) typing for numpy 1.20 (pydata#4878) Use definition of DTypeLike from Numpy if found (pydata#4941) autoupdate mypy (pydata#4943) Add DataArrayCoarsen.reduce and DatasetCoarsen.reduce methods (pydata#4939) ...
Try to limit the time of "CI Upstream" to avoid a silent failure.