Remove unit benchmarks #5949
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Remove unit benchmarks #5949
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trexfeathers
added
the
benchmark_this
trexfeathers
commented
May 10, 2024
trexfeathers
commented
May 10, 2024
trexfeathers
commented
May 10, 2024
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #5949 +/- ##
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Coverage 89.78% 89.78%
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Files 93 93
Lines 23007 23007
Branches 5017 5017
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Hits 20657 20657
Misses 1620 1620
Partials 730 730 ☔ View full report in Codecov by Sentry. |
⏱️ Performance Benchmark Report: 2418a1aPerformance shiftsFull benchmark resultsGenerated by GHA run |
ESadek-MO
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May 13, 2024
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Looks good to me, thanks @trexfeathers! Just a couple of potential text changes
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Thanks @ESadek-MO! |
stephenworsley
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Jun 10, 2024
* main: (759 commits) Bump scitools/workflows from 2024.05.1 to 2024.06.0 (SciTools#5986) [pre-commit.ci] pre-commit autoupdate (SciTools#5980) Updated environment lockfiles (SciTools#5983) Bump scitools/workflows from 2024.05.0 to 2024.05.1 (SciTools#5984) Make `slices_over` tests go faster (SciTools#5973) Updated environment lockfiles (SciTools#5979) Update lock files with associated fixes (SciTools#5953) List 25 slowest tests (SciTools#5969) used a note to highlight some text (SciTools#5971) Lazy `iris.cube.Cube.rolling_window` (SciTools#5795) Add memory benchmarks (SciTools#5960) Whatsnew for several benchmark developments. (SciTools#5961) Remove "on-demand" from some benchmarks (SciTools#5959) Add bm_runner 'trialrun' subcommand. (SciTools#5957) Automatically install iris-test-data for benchmark data generation (SciTools#5958) Added benchmarks for collapse and aggregate (SciTools#5954) Use tracemalloc for memory measurements. (SciTools#5948) Provide a Nox `benchmarks` session as the recommended entry point (SciTools#5951) [pre-commit.ci] pre-commit autoupdate (SciTools#5952) Remove unit benchmarks (SciTools#5949) ...
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🚀 Pull Request
Description
Closes #5475
iris.tests.stock.realistic_4d_w_everything()- aCubewith as many features as possible - aimed at exercising as much of Iris as possible, useful for wide coverage benchmarks.Cube'.benchmarks.ARTIFICIAL_DIM_SIZEbecause it didn't seem to be adding much, beyond unnecessary complexity.Consult Iris pull request check list
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