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2 rows where author_association = "MEMBER", issue = 559873728 and user = 14808389 sorted by updated_at descending

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  • keewis · 2 ✖

issue 1

  • more upstream-dev cftime failures · 2 ✖

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  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
583367035 https://github.com/pydata/xarray/issues/3751#issuecomment-583367035 https://api.github.com/repos/pydata/xarray/issues/3751 MDEyOklzc3VlQ29tbWVudDU4MzM2NzAzNQ== keewis 14808389 2020-02-07T12:19:25Z 2020-02-07T12:19:25Z MEMBER

no, that's my bad, it is pretty clear but I seem to have skipped over it

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  more upstream-dev cftime failures 559873728
583364958 https://github.com/pydata/xarray/issues/3751#issuecomment-583364958 https://api.github.com/repos/pydata/xarray/issues/3751 MDEyOklzc3VlQ29tbWVudDU4MzM2NDk1OA== keewis 14808389 2020-02-07T12:12:33Z 2020-02-07T12:12:33Z MEMBER

when the tests fail, other is a pandas.Index containing whatever has been used to index. The subtraction results in a normal TimedeltaIndex which is then passed to the CFTimeIndex: np.array(self) = array([cftime.DatetimeNoLeap(0001-02-01 00:00:00)], dtype=object) other = Index([0001-05-01 00:00:00], dtype='object') other[0] = cftime.DatetimeNoLeap(0001-05-01 00:00:00) np.array(self) - other = TimedeltaIndex(['-89 days'], dtype='timedelta64[ns]', freq=None) I think the issue here is that other is a pandas.Index instead of a CFTimeIndex.

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  more upstream-dev cftime failures 559873728

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