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1 row where comments = 9, "updated_at" is on date 2021-03-30 and user = 10194086 sorted by updated_at descending

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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
308039063 MDExOlB1bGxSZXF1ZXN0MTc3MDc3MTU5 2011 rolling: periodic mathause 10194086 closed 0     9 2018-03-23T13:57:25Z 2021-03-30T15:08:22Z 2021-03-30T15:08:18Z MEMBER   0 pydata/xarray/pulls/2011
  • [x] Closes #2007
  • [ ] Tests added (for all bug fixes or enhancements)
  • [ ] Tests passed (for all non-documentation changes)
  • [ ] Fully documented, including whats-new.rst for all changes and api.rst for new API

Ok, this was easier to do than initially thought, we can use np.pad(a, pads, mode='wrap') in nputils.rolling_window. However, I'm not sure if that is enough already<sup>*</sup>.

I added an initial test, but could use some pointers where else you want this to be tested.

Questions: * is fill_value='periodic' a good api? * should the fill_value keyvalue be ported to rolling? * should this also be mentioned in the docs for rolling (I only learned about rolling.construct yesterday)


<sup>*</sup>rolling is present incore/dataset.py, core/dataarray.py, core/variable.py, core/rolling.py, core/dask_array_ops.py, core/nputils.py, core/ops.py, core/common.py, core/missing.py, and core/duck_array_ops.py that can be a bit daunting...

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    xarray 13221727 pull

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