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2 rows where "closed_at" is on date 2019-10-31 and user = 2448579 sorted by updated_at descending

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  • xarray 2
id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
512253428 MDExOlB1bGxSZXF1ZXN0MzMyMzAxNjM1 3446 __dask_tokenize__ dcherian 2448579 closed 0     2 2019-10-25T01:18:50Z 2019-10-31T16:53:28Z 2019-10-31T15:52:12Z MEMBER   0 pydata/xarray/pulls/3446
  • [x] Closes #3378
  • [x] Tests added
  • [x] Passes black . && mypy . && flake8
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API

@crusaderky here's your testing checklist. I wasn't entirely sure what you meant by the last two but I took a stab at it. feel free to push to this branch so that we can finish quickly

  • [X] running tokenize() twice on the same object returns the same result
  • [X] changing the content of a data_var (or the variable, for DataArray) changes the output
  • [X] changing the content of a coord changes the output
  • [X] changing attrs, name, or dimension names change the output
  • [X] whether a variable is a data_var or a coord changes the output
  • [X] dask arrays aren't computed
  • [X] non-numpy, non-dask NEP18 data is not converted to numpy
  • [X] works with xarray's fancy wrappers around NetCDF and the like
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    xarray 13221727 pull
503578688 MDU6SXNzdWU1MDM1Nzg2ODg= 3378 implement normalize_token dcherian 2448579 closed 0     2 2019-10-07T17:07:29Z 2019-10-31T15:52:12Z 2019-10-31T15:52:12Z MEMBER      

See https://github.com/pydata/xarray/pull/3276#discussion_r332113438

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  completed xarray 13221727 issue

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