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2 rows where author_association = "CONTRIBUTOR", issue = 298437967 and user = 221526 sorted by updated_at descending
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- isort · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 367778778 | https://github.com/pydata/xarray/pull/1924#issuecomment-367778778 | https://api.github.com/repos/pydata/xarray/issues/1924 | MDEyOklzc3VlQ29tbWVudDM2Nzc3ODc3OA== | dopplershift 221526 | 2018-02-22T18:40:25Z | 2018-02-22T18:40:25Z | CONTRIBUTOR | I don't have much preference between the two--I picked one and it worked for me. I just fixed up the initial import cleanups by hand and didn't find the need for a tool to do so. In my experience, having formatting errors hold up a PR hasn't been a problem. IMO, import ordering is a more important style issue than many of the things that flake8 catches. |
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isort 298437967 | |
| 367771955 | https://github.com/pydata/xarray/pull/1924#issuecomment-367771955 | https://api.github.com/repos/pydata/xarray/issues/1924 | MDEyOklzc3VlQ29tbWVudDM2Nzc3MTk1NQ== | dopplershift 221526 | 2018-02-22T18:17:27Z | 2018-02-22T18:17:27Z | CONTRIBUTOR | I recommend flake8-import-order. If you install that plugin, then flake8 will enforce import ordering and grouping. |
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isort 298437967 |
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