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- Create benchmark for groupby · 6 ✖
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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914488317 | https://github.com/pydata/xarray/pull/5772#issuecomment-914488317 | https://api.github.com/repos/pydata/xarray/issues/5772 | IC_kwDOAMm_X842gfv9 | github-actions[bot] 41898282 | 2021-09-07T17:25:28Z | 2021-09-20T20:46:41Z | CONTRIBUTOR | Unit Test Results6 files ±0 6 suites ±0 56m 50s :stopwatch: ±0s 16 227 tests ±0 14 492 :heavy_check_mark: ±0 1 735 :zzz: ±0 0 :x: ±0 90 558 runs ±0 82 383 :heavy_check_mark: ±0 8 175 :zzz: ±0 0 :x: ±0 Results for commit 7a65d596. ± Comparison against base commit 7a65d596. :recycle: This comment has been updated with latest results. |
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Create benchmark for groupby 990194656 | |
923262623 | https://github.com/pydata/xarray/pull/5772#issuecomment-923262623 | https://api.github.com/repos/pydata/xarray/issues/5772 | IC_kwDOAMm_X843B96f | dcherian 2448579 | 2021-09-20T20:15:24Z | 2021-09-20T20:15:24Z | MEMBER | Thanks @Illviljan |
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Create benchmark for groupby 990194656 | |
914487425 | https://github.com/pydata/xarray/pull/5772#issuecomment-914487425 | https://api.github.com/repos/pydata/xarray/issues/5772 | IC_kwDOAMm_X842gfiB | pep8speaks 24736507 | 2021-09-07T17:23:53Z | 2021-09-14T02:19:50Z | NONE | Hello @Illviljan! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found: There are currently no PEP 8 issues detected in this Pull Request. Cheers! :beers: Comment last updated at 2021-09-14 02:19:50 UTC |
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Create benchmark for groupby 990194656 | |
914520961 | https://github.com/pydata/xarray/pull/5772#issuecomment-914520961 | https://api.github.com/repos/pydata/xarray/issues/5772 | IC_kwDOAMm_X842gnuB | Illviljan 14371165 | 2021-09-07T18:17:54Z | 2021-09-07T18:17:54Z | MEMBER | I agree we should have more array sizes. I was thinking grouping small, medium, large, 1d, 2d, Nd arrays. But that's for a future PR, I lost interest when I couldn't see the results. It froze during the tests, for example I explicitly tested repr.py because I thought it would be an easy one. PC still froze. |
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Create benchmark for groupby 990194656 | |
914511168 | https://github.com/pydata/xarray/pull/5772#issuecomment-914511168 | https://api.github.com/repos/pydata/xarray/issues/5772 | IC_kwDOAMm_X842glVA | max-sixty 5635139 | 2021-09-07T18:02:26Z | 2021-09-07T18:02:26Z | MEMBER | This looks great, thanks @Illviljan We may want to make the array much bigger, given the overhead. And (could be a TODO), parameterize the cardinality. Sorry to hear re asv. Does it install the environment successfully? That can take a while. But maybe not worth exploring more if it brings down the PC... 😬 |
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Create benchmark for groupby 990194656 | |
914491014 | https://github.com/pydata/xarray/pull/5772#issuecomment-914491014 | https://api.github.com/repos/pydata/xarray/issues/5772 | IC_kwDOAMm_X842ggaG | Illviljan 14371165 | 2021-09-07T17:30:05Z | 2021-09-07T17:48:30Z | MEMBER | Someone who understands asv is free to try it out. Every time I managed to get asv running my entire pc froze and I had to force restart it. |
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Create benchmark for groupby 990194656 |
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