issue_comments
3 rows where issue = 931016490 and user = 5635139 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date)
issue 1
- Do not transpose 1d arrays during interpolation · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
886422293 | https://github.com/pydata/xarray/pull/5542#issuecomment-886422293 | https://api.github.com/repos/pydata/xarray/issues/5542 | IC_kwDOAMm_X8401bsV | max-sixty 5635139 | 2021-07-26T06:41:38Z | 2021-07-26T06:41:38Z | MEMBER | It's curious that's slow — it's not a deep copy and so should be fast (in python terms!), since it's just copying the class instance. Totally understand re ASV — and more generally you should choose the most meaningful work for you. I hope you continue to become more involved with the project, and there'll be plenty of time to expand into other areas. (though down a level, we should have some way of justifying the merge — let me know if you have any profiles to hand, no rush) Thanks as ever @Illviljan ! |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Do not transpose 1d arrays during interpolation 931016490 | |
886253326 | https://github.com/pydata/xarray/pull/5542#issuecomment-886253326 | https://api.github.com/repos/pydata/xarray/issues/5542 | IC_kwDOAMm_X8400ycO | max-sixty 5635139 | 2021-07-25T20:25:15Z | 2021-07-25T21:19:01Z | MEMBER | ~Yeah, I guess if someone does ~So maybe this is the best we can hope for.~ Edit: actually is this already implemented? https://github.com/pydata/xarray/blob/main/xarray/core/variable.py#L1441-L1444. Does interpolate not hit this code path? Is it worth adding an ASV? I've found them fairly quick to set up a new one, though takes some lift to set up the environment etc. I think in general we should try and have them for performance work, so we can track if it regresses. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Do not transpose 1d arrays during interpolation 931016490 | |
886242665 | https://github.com/pydata/xarray/pull/5542#issuecomment-886242665 | https://api.github.com/repos/pydata/xarray/issues/5542 | IC_kwDOAMm_X8400v1p | max-sixty 5635139 | 2021-07-25T18:50:46Z | 2021-07-25T18:50:46Z | MEMBER | Sorry this didn't get @Illviljan . It looks good, without me having that much context. Do you have any info on whether this has any performance impact? I imagine this isn't as easy as it sounds, but do you have a view on whether we could apply this concept more broadly, and make transposing 1D arrays a no-op in the transpose method, rather than writing that logic for each method that calls |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Do not transpose 1d arrays during interpolation 931016490 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issue_comments] ( [html_url] TEXT, [issue_url] TEXT, [id] INTEGER PRIMARY KEY, [node_id] TEXT, [user] INTEGER REFERENCES [users]([id]), [created_at] TEXT, [updated_at] TEXT, [author_association] TEXT, [body] TEXT, [reactions] TEXT, [performed_via_github_app] TEXT, [issue] INTEGER REFERENCES [issues]([id]) ); CREATE INDEX [idx_issue_comments_issue] ON [issue_comments] ([issue]); CREATE INDEX [idx_issue_comments_user] ON [issue_comments] ([user]);
user 1