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2 rows where "created_at" is on date 2022-01-31 and user = 2448579 sorted by updated_at descending

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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1119647191 I_kwDOAMm_X85CvHXX 6220 [FEATURE]: Use fast path when grouping by unique monotonic decreasing variable dcherian 2448579 open 0     1 2022-01-31T16:24:29Z 2023-01-09T16:48:58Z   MEMBER      

Is your feature request related to a problem?

See https://github.com/pydata/xarray/pull/6213/files#r795716713

We check whether the by variable for groupby is unique and monotonically increasing. But the fast path would also apply to unique and monotonically decreasing variables.

Describe the solution you'd like

Update the condition to is_monotonic_increasing or is_monotonic_decreasing and add a test.

Describe alternatives you've considered

No response

Additional context

No response

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    xarray 13221727 issue
1119738354 I_kwDOAMm_X85Cvdny 6222 test packaging & distribution dcherian 2448579 closed 0     4 2022-01-31T17:42:40Z 2022-02-03T15:45:17Z 2022-02-03T15:45:17Z MEMBER      

Is your feature request related to a problem?

It seems like we should have a test to make sure our dependencies are specified correctly.

Describe the solution you'd like

For instance we could add a step to the release workflow: https://github.com/pydata/xarray/blob/b09de8195a9e22dd35d1b7ed608ea15dad0806ef/.github/workflows/pypi-release.yaml#L34-L43

after twine check where we pip install and then try to import xarray.

Alternatively we could have another test config in our regular CI to build + import.

Thoughts? Is this excessive for a somewhat rare problem?

Describe alternatives you've considered

No response

Additional context

No response

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  completed xarray 13221727 issue

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