iris
iris copied to clipboard
Published
20 hours ago •
SciTools
SciTools
Remove unit benchmarks
🚀 Pull Request
Description
Closes #5475
- Introduces
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. - Deactivates some out-dated benchmarks from being run by default.
- Replaces lost coverage from the above retirement with benchmarks that use the new realistic 'everything
Cube'. - Changed README and docstring advice to no longer encourage unit-style testing and instead encourage writing benchmarks from the user perspective.
- I also retired
benchmarks.ARTIFICIAL_DIM_SIZEbecause it didn't seem to be adding much, beyond unnecessary complexity.
Consult Iris pull request check list
Add any of the below labels to trigger actions on this PR:
- https://github.com/SciTools/iris/labels/benchmark_this
Codecov Report
All modified and coverable lines are covered by tests :white_check_mark:
Project coverage is 89.78%. Comparing base (
a56f939) to head (bbf2736).
Additional details and impacted files
@@ Coverage Diff @@
## main #5949 +/- ##
=======================================
Coverage 89.78% 89.78%
=======================================
Files 93 93
Lines 23007 23007
Branches 5017 5017
=======================================
Hits 20657 20657
Misses 1620 1620
Partials 730 730
:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.
![codecov[bot] avatar](https://avatars.githubusercontent.com/in/254?v=4 "Published by a pub.dev verified publisher"){kind=small}
:stopwatch: Performance Benchmark Report: 2418a1af
Performance shifts
Full benchmark results
Benchmarks that have stayed the same:
| Change | Before [a56f9393] | After [2418a1af] | Ratio | Benchmark (Parameter) |
|----------|----------------------|---------------------|---------|------------------------------------------------------------------------------------------------------|
| | 1.15±0.01ms | 1.12±0.01ms | 0.97 | cube.CubeCreation.time_create(False, 'construct') |
| | 418±7μs | 406±4μs | 0.97 | cube.CubeCreation.time_create(False, 'instantiate') |
| | 966±9μs | 967±10μs | 1.00 | cube.CubeCreation.time_create(True, 'construct') |
| | 595±8μs | 594±8μs | 1.00 | cube.CubeCreation.time_create(True, 'instantiate') |
| | 214±2ms | 215±2ms | 1.00 | cube.CubeEquality.time_equality(False, False, 'all_equal') |
| | 110±0.8ms | 109±1ms | 0.99 | cube.CubeEquality.time_equality(False, False, 'coord_inequality') |
| | 227±2ms | 224±3ms | 0.99 | cube.CubeEquality.time_equality(False, False, 'data_inequality') |
| | 16.8±0.2μs | 16.6±0.3μs | 0.99 | cube.CubeEquality.time_equality(False, False, 'metadata_inequality') |
| | 295±3ms | 296±3ms | 1.00 | cube.CubeEquality.time_equality(False, True, 'all_equal') |
| | 191±2ms | 190±2ms | 0.99 | cube.CubeEquality.time_equality(False, True, 'coord_inequality') |
| | 306±3ms | 308±3ms | 1.01 | cube.CubeEquality.time_equality(False, True, 'data_inequality') |
| | 17.0±0.2μs | 16.7±0.4μs | 0.98 | cube.CubeEquality.time_equality(False, True, 'metadata_inequality') |
| | 216±2ms | 216±2ms | 1.00 | cube.CubeEquality.time_equality(True, False, 'all_equal') |
| | 110±1ms | 108±1ms | 0.99 | cube.CubeEquality.time_equality(True, False, 'coord_inequality') |
| | 227±2ms | 224±2ms | 0.99 | cube.CubeEquality.time_equality(True, False, 'data_inequality') |
| | 54.5±0.7μs | 52.9±0.4μs | 0.97 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality') |
| | 296±2ms | 295±2ms | 1.00 | cube.CubeEquality.time_equality(True, True, 'all_equal') |
| | 191±2ms | 190±2ms | 1.00 | cube.CubeEquality.time_equality(True, True, 'coord_inequality') |
| | 308±2ms | 305±4ms | 0.99 | cube.CubeEquality.time_equality(True, True, 'data_inequality') |
| | 55.2±0.5μs | 55.7±0.5μs | 1.01 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality') |
| | 394±7ns | 395±3ns | 1.00 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.time_compute_data(50) |
| | 260±3ms | 260±2ms | 1.00 | experimental.ugrid.regions_combine.CombineRegionsComputeRealData.time_compute_data(500) |
| | 14.4±0.06ms | 14.3±0.2ms | 1.00 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50) |
| | 16.4±0.4ms | 16.3±0.6ms | 0.99 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500) |
| | 5.0 | 5.0 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.track_addedmem_create_combined_cube(50) |
| | 5.0 | 5.0 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsCreateCube.track_addedmem_create_combined_cube(500) |
| | 102±0.9ms | 102±0.4ms | 1.00 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50) |
| | 690±6ms | 692±3ms | 1.00 | experimental.ugrid.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500) |
| | 63.8±0.4ms | 64.0±0.7ms | 1.00 | experimental.ugrid.regions_combine.CombineRegionsSaveData.time_save(50) |
| | 648±4ms | 647±5ms | 1.00 | experimental.ugrid.regions_combine.CombineRegionsSaveData.time_save(500) |
| | 2.1752849999999997 | 2.1752849999999997 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsSaveData.track_filesize_saved(50) |
| | 216.01528499999998 | 216.01528499999998 | 1.00 | experimental.ugrid.regions_combine.CombineRegionsSaveData.track_filesize_saved(500) |
| | 661±7μs | 683±10μs | 1.03 | import_iris.Iris.time__concatenate |
| | 179±2μs | 179±3μs | 1.00 | import_iris.Iris.time__constraints |
| | 111±1μs | 110±2μs | 0.99 | import_iris.Iris.time__data_manager |
| | 93.6±0.8μs | 94.2±1μs | 1.01 | import_iris.Iris.time__deprecation |
| | 136±0.7μs | 136±0.7μs | 1.00 | import_iris.Iris.time__lazy_data |
| | 903±6μs | 906±4μs | 1.00 | import_iris.Iris.time__merge |
| | 77.6±0.8μs | 77.2±0.6μs | 1.00 | import_iris.Iris.time__representation |
| | 487±3μs | 492±7μs | 1.01 | import_iris.Iris.time_analysis |
| | 144±2μs | 142±1μs | 0.98 | import_iris.Iris.time_analysis__area_weighted |
| | 110±0.9μs | 108±2μs | 0.98 | import_iris.Iris.time_analysis__grid_angles |
| | 244±4μs | 245±3μs | 1.00 | import_iris.Iris.time_analysis__interpolation |
| | 188±1μs | 187±2μs | 1.00 | import_iris.Iris.time_analysis__regrid |
| | 112±0.6μs | 113±2μs | 1.01 | import_iris.Iris.time_analysis__scipy_interpolate |
| | 141±2μs | 139±2μs | 0.98 | import_iris.Iris.time_analysis_calculus |
| | 335±6μs | 326±4μs | 0.97 | import_iris.Iris.time_analysis_cartography |
| | 94.3±1μs | 93.2±1μs | 0.99 | import_iris.Iris.time_analysis_geomerty |
| | 218±2μs | 217±2μs | 0.99 | import_iris.Iris.time_analysis_maths |
| | 97.8±0.9μs | 96.9±1μs | 0.99 | import_iris.Iris.time_analysis_stats |
| | 175±1μs | 174±1μs | 1.00 | import_iris.Iris.time_analysis_trajectory |
| | 300±3μs | 299±2μs | 1.00 | import_iris.Iris.time_aux_factory |
| | 86.3±0.5μs | 84.8±0.8μs | 0.98 | import_iris.Iris.time_common |
| | 164±2μs | 162±2μs | 0.99 | import_iris.Iris.time_common_lenient |
| | 981±3μs | 979±4μs | 1.00 | import_iris.Iris.time_common_metadata |
| | 133±0.5μs | 133±1μs | 1.00 | import_iris.Iris.time_common_mixin |
| | 1.17±0ms | 1.17±0ms | 1.00 | import_iris.Iris.time_common_resolve |
| | 200±2μs | 203±6μs | 1.01 | import_iris.Iris.time_config |
| | 115±0.4μs | 115±2μs | 1.00 | import_iris.Iris.time_coord_categorisation |
| | 349±2μs | 350±1μs | 1.00 | import_iris.Iris.time_coord_systems |
| | 726±6μs | 727±2μs | 1.00 | import_iris.Iris.time_coords |
| | 656±4μs | 650±6μs | 0.99 | import_iris.Iris.time_cube |
| | 225±4μs | 223±2μs | 0.99 | import_iris.Iris.time_exceptions |
| | 78.3±0.5μs | 78.3±0.6μs | 1.00 | import_iris.Iris.time_experimental |
| | 189±2μs | 187±1μs | 0.99 | import_iris.Iris.time_fileformats |
| | 250±2μs | 247±1μs | 0.99 | import_iris.Iris.time_fileformats__ff |
| | 2.68±0.02ms | 2.69±0.01ms | 1.01 | import_iris.Iris.time_fileformats__ff_cross_references |
| | 78.7±0.6μs | 79.2±0.8μs | 1.01 | import_iris.Iris.time_fileformats__pp_lbproc_pairs |
| | 114±2μs | 114±2μs | 1.00 | import_iris.Iris.time_fileformats_abf |
| | 348±2μs | 349±2μs | 1.00 | import_iris.Iris.time_fileformats_cf |
| | 5.32±0.03ms | 5.28±0.03ms | 0.99 | import_iris.Iris.time_fileformats_dot |
| | 75.0±1μs | 75.0±0.5μs | 1.00 | import_iris.Iris.time_fileformats_name |
| | 257±2μs | 260±2μs | 1.01 | import_iris.Iris.time_fileformats_name_loaders |
| | 119±1μs | 121±1μs | 1.01 | import_iris.Iris.time_fileformats_netcdf |
| | 121±0.9μs | 121±1μs | 1.00 | import_iris.Iris.time_fileformats_nimrod |
| | 207±1μs | 208±3μs | 1.01 | import_iris.Iris.time_fileformats_nimrod_load_rules |
| | 765±4μs | 765±2μs | 1.00 | import_iris.Iris.time_fileformats_pp |
| | 180±2μs | 180±3μs | 1.00 | import_iris.Iris.time_fileformats_pp_load_rules |
| | 135±1μs | 135±1μs | 1.00 | import_iris.Iris.time_fileformats_pp_save_rules |
| | 513±3μs | 515±3μs | 1.00 | import_iris.Iris.time_fileformats_rules |
| | 218±2μs | 218±2μs | 1.00 | import_iris.Iris.time_fileformats_structured_array_identification |
| | 84.1±0.5μs | 84.4±0.8μs | 1.00 | import_iris.Iris.time_fileformats_um |
| | 160±2μs | 162±2μs | 1.01 | import_iris.Iris.time_fileformats_um__fast_load |
| | 136±1μs | 137±2μs | 1.01 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields |
| | 75.4±0.9μs | 76.4±0.5μs | 1.01 | import_iris.Iris.time_fileformats_um__ff_replacement |
| | 82.4±1μs | 83.3±0.6μs | 1.01 | import_iris.Iris.time_fileformats_um__optimal_array_structuring |
| | 979±10μs | 985±3μs | 1.01 | import_iris.Iris.time_fileformats_um_cf_map |
| | 137±0.8μs | 139±3μs | 1.01 | import_iris.Iris.time_io |
| | 172±3μs | 171±0.9μs | 0.99 | import_iris.Iris.time_io_format_picker |
| | 203±2μs | 203±2μs | 1.00 | import_iris.Iris.time_iris |
| | 126±1μs | 128±1μs | 1.01 | import_iris.Iris.time_iterate |
| | 8.35±0.04ms | 8.42±0.05ms | 1.01 | import_iris.Iris.time_palette |
| | 335±2μs | 338±4μs | 1.01 | import_iris.Iris.time_plot |
| | 103±0.7μs | 104±1μs | 1.01 | import_iris.Iris.time_quickplot |
| | 2.08±0.01ms | 2.08±0.01ms | 1.00 | import_iris.Iris.time_std_names |
| | 1.77±0.01ms | 1.76±0.01ms | 1.00 | import_iris.Iris.time_symbols |
| | 19.1±0.5ms | 19.2±0.7ms | 1.01 | import_iris.Iris.time_tests |
| | 230±2μs | 229±3μs | 1.00 | import_iris.Iris.time_third_party_cartopy |
| | 4.81±0.03ms | 4.80±0.02ms | 1.00 | import_iris.Iris.time_third_party_cf_units |
| | 107±0.7μs | 107±1μs | 1.00 | import_iris.Iris.time_third_party_cftime |
| | 2.81±0.02ms | 2.78±0.01ms | 0.99 | import_iris.Iris.time_third_party_matplotlib |
| | 1.06±0ms | 1.06±0.01ms | 1.00 | import_iris.Iris.time_third_party_numpy |
| | 159±1μs | 159±2μs | 1.00 | import_iris.Iris.time_third_party_scipy |
| | 99.4±0.6μs | 103±2μs | 1.03 | import_iris.Iris.time_time |
| | 316±5μs | 315±3μs | 1.00 | import_iris.Iris.time_util |
| | 74.7±0.7μs | 73.9±1μs | 0.99 | iterate.IZip.time_izip |
| | 8.11±0.04ms | 7.98±0.2ms | 0.98 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF') |
| | 23.0±0.6ms | 23.7±0.3ms | 1.03 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF') |
| | 8.85±0.07ms | 8.79±0.08ms | 0.99 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP') |
| | 8.15±0.09ms | 8.06±0.08ms | 0.99 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF') |
| | 20.8±0.09ms | 20.9±0.2ms | 1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF') |
| | 8.84±0.08ms | 8.83±0.2ms | 1.00 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP') |
| | 1.33±0.01s | 1.32±0.02s | 0.99 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF') |
| | 20.4±0.1ms | 20.6±0.3ms | 1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF') |
| | 1.49±0.01s | 1.48±0.01s | 0.99 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP') |
| | 1.33±0.02s | 1.31±0.01s | 0.99 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF') |
| | 20.5±0.2ms | 20.8±0.3ms | 1.02 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF') |
| | 1.48±0.01s | 1.47±0.02s | 0.99 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP') |
| | 3.90±0.03ms | 3.91±0.03ms | 1.00 | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF') |
| | 19.6±0.3ms | 19.6±0.4ms | 1.00 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF') |
| | 4.18±0.03ms | 4.15±0.05ms | 0.99 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP') |
| | 3.92±0.02ms | 3.91±0.04ms | 1.00 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF') |
| | 19.4±0.1ms | 19.5±0.2ms | 1.00 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF') |
| | 4.18±0.02ms | 4.17±0.06ms | 1.00 | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP') |
| | 31.4±3ms | 30.4±3ms | 0.97 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF') |
| | 18.6±0.6ms | 18.4±0.3ms | 0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF') |
| | 13.1±2ms | 13.3±2ms | 1.02 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP') |
| | 25.8±2ms | 25.0±1ms | 0.97 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF') |
| | 69.7±2ms | 69.6±2ms | 1.00 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF') |
| | 25.3±1ms | 24.9±0.7ms | 0.98 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP') |
| | 434±2ms | 433±1ms | 1.00 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF') |
| | 2.78±0.09ms | 2.68±0.07ms | 0.96 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF') |
| | 440±2ms | 440±3ms | 1.00 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP') |
| | 441±2ms | 439±1ms | 1.00 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF') |
| | 2.75±0.1ms | 2.68±0.05ms | 0.97 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF') |
| | 446±2ms | 445±1ms | 1.00 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP') |
| | 1.50±0.07ms | 1.59±0.07ms | 1.06 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF') |
| | 2.73±0.08ms | 2.67±0.05ms | 0.98 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF') |
| | 1.52±0.07ms | 1.59±0.07ms | 1.04 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP') |
| | 1.60±0.05ms | 1.56±0.08ms | 0.97 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF') |
| | 2.83±0.09ms | 2.73±0.03ms | 0.96 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF') |
| | 1.55±0.04ms | 1.65±0.06ms | 1.06 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP') |
| | 355±2ms | 353±4ms | 0.99 | load.ManyVars.time_many_var_load |
| | 8.26±0.05ms | 8.14±0.06ms | 0.99 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF') |
| | 9.06±0.05ms | 9.06±0.08ms | 1.00 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP') |
| | 1.34±0.01s | 1.35±0.01s | 1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF') |
| | 1.51±0.01s | 1.52±0.01s | 1.00 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP') |
| | 3.97±0.03ms | 3.93±0.05ms | 0.99 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF') |
| | 4.25±0.07ms | 4.24±0.05ms | 1.00 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP') |
| | 8.20±0.1ms | 8.06±0.04ms | 0.98 | load.StructuredFF.time_structured_load((1280, 960, 5), False) |
| | 4.76±0.03ms | 4.82±0.05ms | 1.01 | load.StructuredFF.time_structured_load((1280, 960, 5), True) |
| | 1.33±0.02s | 1.33±0.01s | 1.00 | load.StructuredFF.time_structured_load((2, 2, 1000), False) |
| | 362±2ms | 370±6ms | 1.02 | load.StructuredFF.time_structured_load((2, 2, 1000), True) |
| | 3.91±0.03ms | 3.94±0.04ms | 1.01 | load.StructuredFF.time_structured_load((2, 2, 2), False) |
| | 3.63±0.04ms | 3.56±0.03ms | 0.98 | load.StructuredFF.time_structured_load((2, 2, 2), True) |
| | 148±0.8ms | 149±1ms | 1.01 | load.TimeConstraint.time_time_constraint(20, 'FF') |
| | 22.8±0.08ms | 23.0±0.1ms | 1.01 | load.TimeConstraint.time_time_constraint(20, 'NetCDF') |
| | 163±1ms | 165±1ms | 1.01 | load.TimeConstraint.time_time_constraint(20, 'PP') |
| | 29.3±0.1ms | 29.6±0.3ms | 1.01 | load.TimeConstraint.time_time_constraint(3, 'FF') |
| | 22.6±0.3ms | 22.6±0.2ms | 1.00 | load.TimeConstraint.time_time_constraint(3, 'NetCDF') |
| | 31.7±0.2ms | 31.7±0.3ms | 1.00 | load.TimeConstraint.time_time_constraint(3, 'PP') |
| | 17.0±0.2ms | 17.3±0.1ms | 1.01 | load.ugrid.BasicLoading.time_load_file(1) |
| | 40.4±0.6ms | 40.1±0.4ms | 0.99 | load.ugrid.BasicLoading.time_load_file(200000) |
| | 14.1±0.2ms | 13.9±0.2ms | 0.99 | load.ugrid.BasicLoading.time_load_mesh(1) |
| | 21.2±0.1ms | 21.2±0.4ms | 1.00 | load.ugrid.BasicLoading.time_load_mesh(200000) |
| | 17.2±0.4ms | 17.5±0.2ms | 1.02 | load.ugrid.BasicLoadingTime.time_load_file(1) |
| | 19.7±0.3ms | 19.6±0.3ms | 0.99 | load.ugrid.BasicLoadingTime.time_load_file(200000) |
| | 13.9±0.3ms | 14.2±0.2ms | 1.02 | load.ugrid.BasicLoadingTime.time_load_mesh(1) |
| | 16.2±0.2ms | 16.5±0.4ms | 1.02 | load.ugrid.BasicLoadingTime.time_load_mesh(200000) |
| | 18.0±0.3ms | 18.3±0.2ms | 1.01 | load.ugrid.Callback.time_load_file_callback(1) |
| | 49.1±0.8ms | 49.0±0.6ms | 1.00 | load.ugrid.Callback.time_load_file_callback(200000) |
| | 18.0±0.2ms | 18.4±0.3ms | 1.02 | load.ugrid.CallbackTime.time_load_file_callback(1) |
| | 21.5±0.3ms | 21.1±0.3ms | 0.98 | load.ugrid.CallbackTime.time_load_file_callback(200000) |
| | 2.58±0.06ms | 2.58±0.08ms | 1.00 | load.ugrid.DataRealisation.time_realise_data(10000) |
| | 5.21±0.9ms | 3.64±0.9ms | ~0.70 | load.ugrid.DataRealisation.time_realise_data(200000) |
| | 35.6±0.6ms | 35.3±0.4ms | 0.99 | load.ugrid.DataRealisationTime.time_realise_data(10000) |
| | 780±5ms | 784±6ms | 1.00 | load.ugrid.DataRealisationTime.time_realise_data(200000) |
| | 179±2ms | 179±1ms | 1.00 | merge_concat.Concatenate.time_concatenate |
| | 44.7±0.3ms | 44.6±0.2ms | 1.00 | merge_concat.Merge.time_merge |
| | 6.53±0.03ms | 6.56±0.05ms | 1.01 | plot.AuxSort.time_aux_sort |
| | 77.7±5ms | 76.3±1ms | 0.98 | regridding.CurvilinearRegridding.time_regrid_pic |
| | 97.5±0.7ms | 98.3±0.5ms | 1.01 | regridding.HorizontalChunkedRegridding.time_regrid_area_w |
| | 46.8±3ms | 46.3±1ms | 0.99 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid |
| | 4.01±0.02ms | 4.03±0.03ms | 1.00 | save.NetcdfSave.time_netcdf_save_cube(50, False) |
| | 69.5±0.3ms | 69.5±0.4ms | 1.00 | save.NetcdfSave.time_netcdf_save_cube(50, True) |
| | 50.6±0.4ms | 51.7±2ms | 1.02 | save.NetcdfSave.time_netcdf_save_cube(600, False) |
| | 551±4ms | 551±4ms | 1.00 | save.NetcdfSave.time_netcdf_save_cube(600, True) |
| | 90.2±0.6ns | 90.7±0.8ns | 1.01 | save.NetcdfSave.time_netcdf_save_mesh(50, False) |
| | 52.9±0.2ms | 53.0±0.2ms | 1.00 | save.NetcdfSave.time_netcdf_save_mesh(50, True) |
| | 89.9±1ns | 90.2±0.7ns | 1.00 | save.NetcdfSave.time_netcdf_save_mesh(600, False) |
| | 483±3ms | 485±3ms | 1.00 | save.NetcdfSave.time_netcdf_save_mesh(600, True) |
| | 41.6±1ms | 41.6±0.5ms | 1.00 | stats.PearsonR.time_lazy |
| | 18.4±0.1ms | 18.7±0.3ms | 1.01 | stats.PearsonR.time_real |
| | 22.8±0.4ms | 22.6±0.7ms | 0.99 | trajectory.TrajectoryInterpolation.time_trajectory_linear |
| | 57.1±0.5ms | 56.6±0.4ms | 0.99 | trajectory.TrajectoryInterpolation.time_trajectory_nearest |
Generated by GHA run 9034532330
![github-actions[bot] avatar](https://avatars.githubusercontent.com/in/15368?v=4 "Published by a pub.dev verified publisher"){kind=small}