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2 rows where author_association = "CONTRIBUTOR", issue = 1077040836 and user = 16700639 sorted by updated_at descending

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  • bzah · 2 ✖

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  • DOC: Add "auto" to dataarray `chunk` method · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
991632287 https://github.com/pydata/xarray/pull/6068#issuecomment-991632287 https://api.github.com/repos/pydata/xarray/issues/6068 IC_kwDOAMm_X847Gxuf bzah 16700639 2021-12-11T12:49:15Z 2021-12-11T12:49:15Z CONTRIBUTOR

list type is only used on this handler. Its usage is never documented and it's not even part of dask rechunk api either. It would make sense to deprecate it I guess.

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  DOC: Add "auto" to dataarray `chunk` method 1077040836
991611195 https://github.com/pydata/xarray/pull/6068#issuecomment-991611195 https://api.github.com/repos/pydata/xarray/issues/6068 IC_kwDOAMm_X847Gsk7 bzah 16700639 2021-12-11T11:39:43Z 2021-12-11T11:39:57Z CONTRIBUTOR

I also noticed the Tuples types Tuple[int, ...] and Tuple[Tuple[int, ...], ...], are accepted and handled at DataArray level but are not at Dataset level. The handler is: if isinstance(chunks, (tuple, list)): chunks = dict(zip(self.dims, chunks))

Would it make sense to move this in Dataset to have the same api for both ?

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  DOC: Add "auto" to dataarray `chunk` method 1077040836

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