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1 row where author_association = "MEMBER", issue = 551680561 and user = 5635139 sorted by updated_at descending

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  • max-sixty · 1 ✖

issue 1

  • Pint support for variables · 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
589874060 https://github.com/pydata/xarray/pull/3706#issuecomment-589874060 https://api.github.com/repos/pydata/xarray/issues/3706 MDEyOklzc3VlQ29tbWVudDU4OTg3NDA2MA== max-sixty 5635139 2020-02-21T23:05:37Z 2020-02-21T23:05:37Z MEMBER

Although, I had interpreted @max-sixty's comment #3238 (comment) to mean that dtypes are compared, it appears from @shoyer's comment #3706 (comment) that this not the case.

I was wrong; I should have at least realized I didn't know. Apologies if that caused wasted time @jthielen

Separately: should assert_identical assert that the dtypes are the same? I'd have thought there should be some way of testing whether dtypes are consistent with expectations, and I'd have thought assert_identical would be it?

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  Pint support for variables 551680561

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