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- Silence sphinx warnings · 9 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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555802108 | https://github.com/pydata/xarray/pull/3516#issuecomment-555802108 | https://api.github.com/repos/pydata/xarray/issues/3516 | MDEyOklzc3VlQ29tbWVudDU1NTgwMjEwOA== | max-sixty 5635139 | 2019-11-20T02:07:29Z | 2019-11-20T02:07:29Z | MEMBER | Done! https://twitter.com/xarray_dev/status/1196963951340392448?s=20 (And in case others see this: we're going to be calling out a few others who have made big contributions recently too; we're really excited and appreciative of those who've recently made such prolific contributions) |
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Silence sphinx warnings 521887948 | |
555776225 | https://github.com/pydata/xarray/pull/3516#issuecomment-555776225 | https://api.github.com/repos/pydata/xarray/issues/3516 | MDEyOklzc3VlQ29tbWVudDU1NTc3NjIyNQ== | max-sixty 5635139 | 2019-11-20T00:17:06Z | 2019-11-20T00:17:06Z | MEMBER | @keewis do you have a twitter username and first name? We're going to start calling out big new contributors on our twitter and release notes. (@keewis is also OK if you prefer!) |
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Silence sphinx warnings 521887948 | |
555336127 | https://github.com/pydata/xarray/pull/3516#issuecomment-555336127 | https://api.github.com/repos/pydata/xarray/issues/3516 | MDEyOklzc3VlQ29tbWVudDU1NTMzNjEyNw== | max-sixty 5635139 | 2019-11-19T05:10:38Z | 2019-11-19T05:10:38Z | MEMBER | It would be awesome to be able to enable that @keewis, so we don't regress in future. We can merge this for now and come back to that? I may have some time later this week to look more directly. Great work, again! |
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Silence sphinx warnings 521887948 | |
555074077 | https://github.com/pydata/xarray/pull/3516#issuecomment-555074077 | https://api.github.com/repos/pydata/xarray/issues/3516 | MDEyOklzc3VlQ29tbWVudDU1NTA3NDA3Nw== | max-sixty 5635139 | 2019-11-18T15:45:52Z | 2019-11-18T15:45:52Z | MEMBER | Great! That's cool we can start checking warnings. I think wrapping the numpy docstrings seems pretty reasonable—what are you concerns? Any thoughts @dcherian ? |
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Silence sphinx warnings 521887948 | |
554790762 | https://github.com/pydata/xarray/pull/3516#issuecomment-554790762 | https://api.github.com/repos/pydata/xarray/issues/3516 | MDEyOklzc3VlQ29tbWVudDU1NDc5MDc2Mg== | max-sixty 5635139 | 2019-11-17T21:44:50Z | 2019-11-17T21:44:50Z | MEMBER |
For sure. How's your regex-fu for find-replacing? I can try and have a go otherwise |
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Silence sphinx warnings 521887948 | |
554642708 | https://github.com/pydata/xarray/pull/3516#issuecomment-554642708 | https://api.github.com/repos/pydata/xarray/issues/3516 | MDEyOklzc3VlQ29tbWVudDU1NDY0MjcwOA== | max-sixty 5635139 | 2019-11-16T14:33:13Z | 2019-11-16T14:33:13Z | MEMBER | Yes good idea @keewis Where do you see the excessive memory consumption? When building locally? I see the tests failing from:
[error]The operation was canceled.``` |
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Silence sphinx warnings 521887948 | |
554594058 | https://github.com/pydata/xarray/pull/3516#issuecomment-554594058 | https://api.github.com/repos/pydata/xarray/issues/3516 | MDEyOklzc3VlQ29tbWVudDU1NDU5NDA1OA== | max-sixty 5635139 | 2019-11-16T02:12:55Z | 2019-11-16T02:12:55Z | MEMBER |
I think it'd be good to do a find/replace on those, if that solves our issues? Or are there lots that remain despite that? |
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Silence sphinx warnings 521887948 | |
553621149 | https://github.com/pydata/xarray/pull/3516#issuecomment-553621149 | https://api.github.com/repos/pydata/xarray/issues/3516 | MDEyOklzc3VlQ29tbWVudDU1MzYyMTE0OQ== | max-sixty 5635139 | 2019-11-13T21:52:52Z | 2019-11-13T21:52:52Z | MEMBER |
Is
Definitely, good spot |
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Silence sphinx warnings 521887948 | |
553222315 | https://github.com/pydata/xarray/pull/3516#issuecomment-553222315 | https://api.github.com/repos/pydata/xarray/issues/3516 | MDEyOklzc3VlQ29tbWVudDU1MzIyMjMxNQ== | max-sixty 5635139 | 2019-11-13T03:28:14Z | 2019-11-13T03:28:14Z | MEMBER | Awesome, thanks @keewis !! I think the changes in https://github.com/pydata/xarray/commit/5d9d263e40e1f67910cbefaf96d46a91c560b8b5 are good (and having one standard is good for long-term readability) For old whatsnew entries, I think it's fine that the references have decayed if we can silence the warnings (maybe easiest way is your suggestion to just remove the links, though) Should we put an issue in for the numpy docstrings? As a follow-up, is there a way to add a check in CI so these don't stack up again as people make changes? Or maybe difficult without stamping them all out? |
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Silence sphinx warnings 521887948 |
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