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2 rows where issue = 895842334 and user = 14371165 sorted by updated_at descending

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  • Illviljan · 2 ✖

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  • Fast-track unstack doesn't work with dask · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
844483556 https://github.com/pydata/xarray/issues/5346#issuecomment-844483556 https://api.github.com/repos/pydata/xarray/issues/5346 MDEyOklzc3VlQ29tbWVudDg0NDQ4MzU1Ng== Illviljan 14371165 2021-05-19T21:22:12Z 2021-05-19T21:22:12Z MEMBER

Dask can do this nowadays:

python x = da.array([1, 2, 3, 5]) x[(Ellipsis, [1, 2])] = 6, 7 x[(Ellipsis, [0, 3])] = 9, 8 x.compute() Out[51]: array([9, 6, 7, 8])

But I suppose I was a little too eager to get this working and it felt like I got caught in plenty of tests.

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  Fast-track unstack doesn't work with dask 895842334
844460269 https://github.com/pydata/xarray/issues/5346#issuecomment-844460269 https://api.github.com/repos/pydata/xarray/issues/5346 MDEyOklzc3VlQ29tbWVudDg0NDQ2MDI2OQ== Illviljan 14371165 2021-05-19T20:46:56Z 2021-05-19T20:46:56Z MEMBER

Yeah, reverting it for now sounds good. Unless we can easily add a single dimension check?

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  Fast-track unstack doesn't work with dask 895842334

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