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1 row where author_association = "MEMBER", issue = 913830070 and user = 5821660 sorted by updated_at descending

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  • kmuehlbauer · 1 ✖

issue 1

  • fix dask meta and output_dtypes error · 1 ✖

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  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
856543812 https://github.com/pydata/xarray/pull/5449#issuecomment-856543812 https://api.github.com/repos/pydata/xarray/issues/5449 MDEyOklzc3VlQ29tbWVudDg1NjU0MzgxMg== kmuehlbauer 5821660 2021-06-08T07:51:49Z 2021-06-08T07:51:49Z MEMBER

Thanks for the ping @dcherian.

There is this test: https://github.com/pydata/xarray/blob/da0489f4c7c823915dbb52b681b867baa16bc6e3/xarray/tests/test_computation.py#L1314-L1330 which provides dtype in meta. Maybe these different tests have to be aligned/combined? Unfortunately memory gets hazy over time, so I can't say much more about it without a deeper dive into.

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  fix dask meta and output_dtypes error 913830070

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