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Some refinements to How To Release #4964

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merged 1 commit into from
Feb 26, 2021
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max-sixty
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@shoyer shoyer left a comment

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thanks @max-sixty !

@max-sixty
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Does anyone have any ideas what this failure means?

https://github.com/pydata/xarray/pull/4964/checks?check_run_id=1985476546


Error: reserveCache failed: Cache already exists. Scope: refs/pull/4964/merge, Key: pre-commit-2-8ab1628a0b82eeb07768adee6d698412385f24927008fde5efe51739490a6721-58d919a40778ff9428370ecc60e4dc769bab52a97e6f2e156cf72d56400099a3, Version: 28cdb9f5496f334116f23e86f0063f5d3a9348c2e22425a33171e071aadada7e

@keewis
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keewis commented Feb 26, 2021

that's a known issue of the pre-commit github action (some sort of cache corruption due to a race condition). Usually it's enough to just rerun the workflow.

@max-sixty max-sixty merged commit 318816a into pydata:master Feb 26, 2021
@max-sixty max-sixty deleted the how-to-release branch February 26, 2021 21:53
dcherian added a commit to dcherian/xarray that referenced this pull request Mar 8, 2021
* 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)
  ...
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3 participants