Skip to content

Make benchmark result comparison machine-specific #6550

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom
Merged
merged 3 commits into from
Jul 25, 2025
Merged

Make benchmark result comparison machine-specific #6550

merged 3 commits into from
Jul 25, 2025

Conversation

trexfeathers
Copy link
Contributor

🚀 Pull Request

Description

As described in the What's New, this will cope with situations where the results database contains results for several machines.

Consult Iris pull request check list

Add any of the below labels to trigger actions on this PR:

  • benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts

@trexfeathers trexfeathers added Type: Performance Type: Testing benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts labels Jul 7, 2025
@scitools-ci scitools-ci bot mentioned this pull request Jul 7, 2025
Closed
1 task
scitools-ci[bot]
scitools-ci bot previously requested changes Jul 7, 2025
View reviewed changes
Copy link
Contributor

@scitools-ci scitools-ci bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

@codecov Codecov
Copy link

codecov bot commented Jul 7, 2025 •
edited
Loading

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 89.93%. Comparing base (f5f0ee4) to head (a97f17e).
Report is 1 commits behind head on main.

Additional details and impacted files 
@@           Coverage Diff           @@
##             main    #6550   +/-   ##
=======================================
  Coverage   89.93%   89.93%           
=======================================
  Files          91       91           
  Lines       24393    24393           
  Branches     4554     4554           
=======================================
  Hits        21938    21938           
  Misses       1686     1686           
  Partials      769      769

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

@github-actions GitHub Actions
Copy link
Contributor

github-actions bot commented Jul 7, 2025

⏱️ Performance Benchmark Report: 11610c8

Performance shifts
Full benchmark results 

Benchmarks that have stayed the same:

| Change   | Before [5ba6dc1a]    | After [11610c84]    |   Ratio | Benchmark (Parameter)                                                                       |
|----------|----------------------|---------------------|---------|---------------------------------------------------------------------------------------------|
|          | 20.9±0.2ms           | 20.7±0.2ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False)                              |
|          | 51.6±1ms             | 52.6±1ms            |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True)                               |
|          | 34.7±0.4ms           | 35.4±0.5ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False)                    |
|          | 163±2ms              | 162±2ms             |    1    | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True)                     |
|          | 23.1±0.3ms           | 23.4±0.4ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)                              |
|          | 31.3±0.4ms           | 31.1±0.3ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)                               |
|          | 22.5±0.2ms           | 23.3±0.2ms          |    1.04 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)                              |
|          | 31.2±0.4ms           | 31.2±0.4ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)                               |
|          | 21.0±0.2ms           | 21.0±0.2ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False)                                |
|          | 44.0±0.7ms           | 43.9±1ms            |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True)                                 |
|          | 124±2ms              | 125±1ms             |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False)                            |
|          | 125±2ms              | 126±2ms             |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True)                             |
|          | 22.0±0.3ms           | 21.9±0.2ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False)                               |
|          | 47.5±2ms             | 48.2±0.9ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True)                                |
|          | 23.1±0.1ms           | 23.8±0.6ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False)                             |
|          | 57.3±1ms             | 57.5±1ms            |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True)                              |
|          | 20.6±0.2ms           | 21.1±0.2ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False)                                |
|          | 44.6±1ms             | 44.3±1ms            |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True)                                 |
|          | 1.08±0.01s           | 1.07±0.01s          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False)                               |
|          | 1.05±0.01s           | 1.06±0.01s          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True)                                |
|          | 210±2ms              | 208±3ms             |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)                         |
|          | 334±10ms             | 341±6ms             |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)                          |
|          | 21.9±0.4ms           | 21.7±0.2ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)                         |
|          | 29.4±0.5ms           | 29.7±0.4ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)                          |
|          | 22.1±0.4ms           | 22.3±0.2ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False)                                |
|          | 58.7±0.6ms           | 59.5±1ms            |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True)                                 |
|          | 22.9±0.2ms           | 23.4±0.3ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False)                            |
|          | 60.6±0.8ms           | 61.8±0.7ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True)                             |
|          | 22.6±0.3ms           | 23.1±0.2ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False)                           |
|          | 57.5±0.9ms           | 57.9±0.9ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True)                            |
|          | 7.95±0.1ms           | 7.85±0.2ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)                               |
|          | 21.2±0.6ms           | 21.2±0.8ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)                                |
|          | 19.7±0.3ms           | 19.8±0.3ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False)                     |
|          | 124±5ms              | 122±1ms             |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True)                      |
|          | 8.21±0.1ms           | 8.22±0.1ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)                               |
|          | 19.7±0.6ms           | 19.9±0.4ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)                                |
|          | 8.10±0.1ms           | 8.33±0.1ms          |    1.03 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)                               |
|          | 19.3±0.5ms           | 20.1±0.8ms          |    1.04 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)                                |
|          | 7.85±0.1ms           | 7.80±0.1ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)                                 |
|          | 20.3±0.8ms           | 20.1±0.6ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)                                  |
|          | 23.9±0.3ms           | 24.2±0.2ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)                             |
|          | 33.8±0.8ms           | 34.0±0.6ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)                              |
|          | 8.20±0.06ms          | 8.06±0.2ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)                                |
|          | 20.3±0.5ms           | 20.6±0.5ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)                                 |
|          | 8.99±0.08ms          | 9.04±0.08ms         |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)                              |
|          | 22.5±1ms             | 22.4±0.6ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)                               |
|          | 7.84±0.07ms          | 7.87±0.1ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)                                 |
|          | 19.7±0.5ms           | 20.1±0.7ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)                                  |
|          | 531±2ms              | 530±7ms             |    1    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False)                                |
|          | 539±1ms              | 538±5ms             |    1    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True)                                 |
|          | 44.5±0.8ms           | 45.2±0.5ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False)                          |
|          | 130±2ms              | 131±0.5ms           |    1    | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True)                           |
|          | 8.17±0.2ms           | 8.05±0.05ms         |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)                          |
|          | 19.1±0.5ms           | 19.4±0.7ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)                           |
|          | 8.12±0.1ms           | 8.21±0.07ms         |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)                                 |
|          | 22.1±0.8ms           | 22.2±0.9ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)                                  |
|          | 8.41±0.1ms           | 8.40±0.1ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)                             |
|          | 21.8±0.6ms           | 22.1±0.6ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)                              |
|          | 8.28±0.1ms           | 8.33±0.1ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)                            |
|          | 21.0±1ms             | 21.0±0.6ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)                             |
|          | 22.8±0.2ms           | 22.7±0.1ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False)                     |
|          | 81.4±2ms             | 82.6±1ms            |    1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True)                      |
|          | 22.8±0.2ms           | 22.5±0.4ms          |    0.99 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False)                      |
|          | 93.9±1ms             | 92.7±1ms            |    0.99 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True)                       |
|          | 21.6±0.4ms           | 21.7±0.2ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False)                      |
|          | 54.9±0.8ms           | 54.8±2ms            |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True)                       |
|          | 8.29±0.1ms           | 8.53±0.05ms         |    1.03 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False)                      |
|          | 26.5±0.5ms           | 27.0±0.7ms          |    1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)                       |
|          | 8.18±0.07ms          | 8.45±0.05ms         |    1.03 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)                       |
|          | 28.1±0.8ms           | 28.3±0.7ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)                        |
|          | 7.93±0.06ms          | 7.92±0.2ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)                       |
|          | 23.3±0.8ms           | 22.6±0.7ms          |    0.97 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)                        |
|          | 218±2ms              | 219±1ms             |    1    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False)               |
|          | 275±5ms              | 273±2ms             |    0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True)                |
|          | 1.17±0.01ms          | 1.16±0.02ms         |    0.99 | cube.CubeCreation.time_create(False, 'construct')                                           |
|          | 401±10μs             | 404±5μs             |    1.01 | cube.CubeCreation.time_create(False, 'instantiate')                                         |
|          | 9.38±0.05ms          | 9.67±0.2ms          |    1.03 | cube.CubeCreation.time_create(True, 'construct')                                            |
|          | 6.54±0.1ms           | 6.57±0.1ms          |    1.01 | cube.CubeCreation.time_create(True, 'instantiate')                                          |
|          | 89.4±0.8ms           | 90.9±2ms            |    1.02 | cube.CubeEquality.time_equality(False, False, 'all_equal')                                  |
|          | 24.3±0.5ms           | 24.3±0.7ms          |    1    | cube.CubeEquality.time_equality(False, False, 'coord_inequality')                           |
|          | 103±2ms              | 104±2ms             |    1.01 | cube.CubeEquality.time_equality(False, False, 'data_inequality')                            |
|          | 17.7±0.2μs           | 17.8±0.2μs          |    1.01 | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')                        |
|          | 109±1ms              | 108±3ms             |    0.99 | cube.CubeEquality.time_equality(False, True, 'all_equal')                                   |
|          | 42.2±0.3ms           | 42.3±0.6ms          |    1    | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                            |
|          | 125±2ms              | 122±2ms             |    0.98 | cube.CubeEquality.time_equality(False, True, 'data_inequality')                             |
|          | 17.5±0.3μs           | 17.6±0.3μs          |    1.01 | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')                         |
|          | 171±2ms              | 174±2ms             |    1.02 | cube.CubeEquality.time_equality(True, False, 'all_equal')                                   |
|          | 65.7±0.9ms           | 65.1±0.8ms          |    0.99 | cube.CubeEquality.time_equality(True, False, 'coord_inequality')                            |
|          | 200±2ms              | 201±1ms             |    1    | cube.CubeEquality.time_equality(True, False, 'data_inequality')                             |
|          | 52.8±0.5μs           | 52.2±2μs            |    0.99 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')                         |
|          | 445±5ms              | 442±5ms             |    0.99 | cube.CubeEquality.time_equality(True, True, 'all_equal')                                    |
|          | 337±3ms              | 334±6ms             |    0.99 | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                             |
|          | 474±5ms              | 472±4ms             |    1    | cube.CubeEquality.time_equality(True, True, 'data_inequality')                              |
|          | 34.4±0.6ms           | 34.9±0.6ms          |    1.01 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                          |
|          | 776±5μs              | 787±6μs             |    1.01 | import_iris.Iris.time__concatenate                                                          |
|          | 180±5μs              | 184±2μs             |    1.02 | import_iris.Iris.time__constraints                                                          |
|          | 112±2μs              | 114±0.9μs           |    1.02 | import_iris.Iris.time__data_manager                                                         |
|          | 90.0±1μs             | 90.6±0.8μs          |    1.01 | import_iris.Iris.time__deprecation                                                          |
|          | 158±2μs              | 161±2μs             |    1.02 | import_iris.Iris.time__lazy_data                                                            |
|          | 881±20μs             | 885±5μs             |    1    | import_iris.Iris.time__merge                                                                |
|          | 74.8±0.6μs           | 74.4±0.5μs          |    0.99 | import_iris.Iris.time__representation                                                       |
|          | 600±9μs              | 598±4μs             |    1    | import_iris.Iris.time_analysis                                                              |
|          | 139±1μs              | 139±0.6μs           |    1    | import_iris.Iris.time_analysis__area_weighted                                               |
|          | 105±1μs              | 107±0.7μs           |    1.02 | import_iris.Iris.time_analysis__grid_angles                                                 |
|          | 244±3μs              | 246±1μs             |    1.01 | import_iris.Iris.time_analysis__interpolation                                               |
|          | 189±4μs              | 189±2μs             |    1    | import_iris.Iris.time_analysis__regrid                                                      |
|          | 108±0.8μs            | 109±0.5μs           |    1.01 | import_iris.Iris.time_analysis__scipy_interpolate                                           |
|          | 136±0.6μs            | 136±1μs             |    1    | import_iris.Iris.time_analysis_calculus                                                     |
|          | 318±2μs              | 322±1μs             |    1.01 | import_iris.Iris.time_analysis_cartography                                                  |
|          | 90.7±0.3μs           | 91.5±0.5μs          |    1.01 | import_iris.Iris.time_analysis_geomerty                                                     |
|          | 205±1μs              | 212±1μs             |    1.03 | import_iris.Iris.time_analysis_maths                                                        |
|          | 92.0±0.3μs           | 93.9±0.3μs          |    1.02 | import_iris.Iris.time_analysis_stats                                                        |
|          | 168±0.8μs            | 171±1μs             |    1.02 | import_iris.Iris.time_analysis_trajectory                                                   |
|          | 310±5μs              | 314±3μs             |    1.01 | import_iris.Iris.time_aux_factory                                                           |
|          | 79.9±0.5μs           | 81.3±0.4μs          |    1.02 | import_iris.Iris.time_common                                                                |
|          | 156±2μs              | 159±1μs             |    1.02 | import_iris.Iris.time_common_lenient                                                        |
|          | 1.31±0.01ms          | 1.34±0.03ms         |    1.02 | import_iris.Iris.time_common_metadata                                                       |
|          | 165±2μs              | 168±0.9μs           |    1.02 | import_iris.Iris.time_common_mixin                                                          |
|          | 1.14±0.01ms          | 1.16±0.01ms         |    1.01 | import_iris.Iris.time_common_resolve                                                        |
|          | 193±2μs              | 199±2μs             |    1.03 | import_iris.Iris.time_config                                                                |
|          | 125±1μs              | 127±1μs             |    1.01 | import_iris.Iris.time_coord_categorisation                                                  |
|          | 368±6μs              | 376±6μs             |    1.02 | import_iris.Iris.time_coord_systems                                                         |
|          | 737±2μs              | 756±7μs             |    1.03 | import_iris.Iris.time_coords                                                                |
|          | 620±8μs              | 632±6μs             |    1.02 | import_iris.Iris.time_cube                                                                  |
|          | 234±2μs              | 240±1μs             |    1.03 | import_iris.Iris.time_exceptions                                                            |
|          | 74.7±0.7μs           | 74.7±0.4μs          |    1    | import_iris.Iris.time_experimental                                                          |
|          | 176±2μs              | 186±6μs             |    1.06 | import_iris.Iris.time_fileformats                                                           |
|          | 249±5μs              | 251±2μs             |    1.01 | import_iris.Iris.time_fileformats__ff                                                       |
|          | 2.53±0.01ms          | 2.58±0ms            |    1.02 | import_iris.Iris.time_fileformats__ff_cross_references                                      |
|          | 75.9±0.7μs           | 76.5±0.2μs          |    1.01 | import_iris.Iris.time_fileformats__pp_lbproc_pairs                                          |
|          | 113±2μs              | 113±1μs             |    1    | import_iris.Iris.time_fileformats_abf                                                       |
|          | 418±5μs              | 422±3μs             |    1.01 | import_iris.Iris.time_fileformats_cf                                                        |
|          | 4.63±0.05ms          | 4.64±0.03ms         |    1    | import_iris.Iris.time_fileformats_dot                                                       |
|          | 71.7±0.9μs           | 71.7±2μs            |    1    | import_iris.Iris.time_fileformats_name                                                      |
|          | 248±2μs              | 250±2μs             |    1.01 | import_iris.Iris.time_fileformats_name_loaders                                              |
|          | 114±1μs              | 113±2μs             |    1    | import_iris.Iris.time_fileformats_netcdf                                                    |
|          | 119±0.6μs            | 121±1μs             |    1.02 | import_iris.Iris.time_fileformats_nimrod                                                    |
|          | 204±3μs              | 208±2μs             |    1.02 | import_iris.Iris.time_fileformats_nimrod_load_rules                                         |
|          | 775±10μs             | 779±5μs             |    1.01 | import_iris.Iris.time_fileformats_pp                                                        |
|          | 174±2μs              | 177±2μs             |    1.02 | import_iris.Iris.time_fileformats_pp_load_rules                                             |
|          | 136±0.7μs            | 136±0.4μs           |    1    | import_iris.Iris.time_fileformats_pp_save_rules                                             |
|          | 530±7μs              | 537±3μs             |    1.01 | import_iris.Iris.time_fileformats_rules                                                     |
|          | 215±1μs              | 220±0.8μs           |    1.02 | import_iris.Iris.time_fileformats_structured_array_identification                           |
|          | 79.8±0.3μs           | 79.9±1μs            |    1    | import_iris.Iris.time_fileformats_um                                                        |
|          | 153±0.8μs            | 155±1μs             |    1.01 | import_iris.Iris.time_fileformats_um__fast_load                                             |
|          | 135±1μs              | 138±2μs             |    1.02 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields                           |
|          | 71.9±0.3μs           | 72.4±0.6μs          |    1.01 | import_iris.Iris.time_fileformats_um__ff_replacement                                        |
|          | 77.9±0.5μs           | 79.4±0.3μs          |    1.02 | import_iris.Iris.time_fileformats_um__optimal_array_structuring                             |
|          | 927±10μs             | 945±6μs             |    1.02 | import_iris.Iris.time_fileformats_um_cf_map                                                 |
|          | 134±1μs              | 135±1μs             |    1.01 | import_iris.Iris.time_io                                                                    |
|          | 170±0.7μs            | 174±1μs             |    1.03 | import_iris.Iris.time_io_format_picker                                                      |
|          | 209±0.9μs            | 213±2μs             |    1.02 | import_iris.Iris.time_iris                                                                  |
|          | 123±0.4μs            | 126±1μs             |    1.02 | import_iris.Iris.time_iterate                                                               |
|          | 7.97±0.02ms          | 8.08±0.02ms         |    1.01 | import_iris.Iris.time_palette                                                               |
|          | 1.74±0.01ms          | 1.77±0.02ms         |    1.01 | import_iris.Iris.time_plot                                                                  |
|          | 215±0.8μs            | 222±3μs             |    1.03 | import_iris.Iris.time_quickplot                                                             |
|          | 2.06±0.03ms          | 2.12±0.03ms         |    1.03 | import_iris.Iris.time_std_names                                                             |
|          | 1.81±0.01ms          | 1.83±0.01ms         |    1.01 | import_iris.Iris.time_symbols                                                               |
|          | 34.3±0.8ms           | 34.5±0.7ms          |    1.01 | import_iris.Iris.time_tests                                                                 |
|          | 252±2μs              | 256±2μs             |    1.02 | import_iris.Iris.time_third_party_cartopy                                                   |
|          | 5.05±0.02ms          | 5.03±0.04ms         |    1    | import_iris.Iris.time_third_party_cf_units                                                  |
|          | 117±2μs              | 119±1μs             |    1.01 | import_iris.Iris.time_third_party_cftime                                                    |
|          | 2.72±0.03ms          | 2.79±0.04ms         |    1.02 | import_iris.Iris.time_third_party_matplotlib                                                |
|          | 1.31±0.02ms          | 1.31±0ms            |    1    | import_iris.Iris.time_third_party_numpy                                                     |
|          | 166±2μs              | 167±2μs             |    1.01 | import_iris.Iris.time_third_party_scipy                                                     |
|          | 95.4±0.7μs           | 98.4±0.6μs          |    1.03 | import_iris.Iris.time_time                                                                  |
|          | 343±3μs              | 344±3μs             |    1    | import_iris.Iris.time_util                                                                  |
|          | 70.6±0.4μs           | 71.7±2μs            |    1.02 | iterate.IZip.time_izip                                                                      |
|          | 9.88±0.04ms          | 9.98±0.1ms          |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF')                                  |
|          | 15.8±0.1ms           | 15.7±0.4ms          |    0.99 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF')                              |
|          | 9.98±0.1ms           | 10.1±0.04ms         |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP')                                  |
|          | 10.0±0.06ms          | 9.99±0.1ms          |    1    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF')                                   |
|          | 13.3±0.09ms          | 13.5±0.4ms          |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF')                               |
|          | 10.0±0.1ms           | 10.0±0.02ms         |    1    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP')                                   |
|          | 1.49±0.01s           | 1.50±0.01s          |    1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF')                                    |
|          | 12.2±0.1ms           | 12.3±0.02ms         |    1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF')                                |
|          | 1.50±0.02s           | 1.51±0.01s          |    1.01 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP')                                    |
|          | 1.48±0.01s           | 1.50±0.01s          |    1.02 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF')                                     |
|          | 12.2±0.08ms          | 12.3±0.04ms         |    1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF')                                 |
|          | 1.48±0.01s           | 1.50±0.02s          |    1.01 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP')                                     |
|          | 5.28±0.04ms          | 5.34±0.04ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF')                                     |
|          | 11.8±0.09ms          | 12.1±0.2ms          |    1.02 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF')                                 |
|          | 5.25±0.02ms          | 5.30±0.03ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP')                                     |
|          | 5.29±0.02ms          | 5.35±0.05ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF')                                      |
|          | 11.9±0.2ms           | 11.9±0.06ms         |    1    | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF')                                  |
|          | 5.28±0.04ms          | 5.38±0.05ms         |    1.02 | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP')                                      |
|          | 21.8±1ms             | 22.5±0.8ms          |    1.03 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF')                               |
|          | 22.4±0.3ms           | 22.9±0.7ms          |    1.02 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF')                           |
|          | 11.7±1ms             | 12.0±0.6ms          |    1.03 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP')                               |
|          | 27.8±1ms             | 28.2±0.9ms          |    1.01 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF')                                |
|          | 81.8±0.5ms           | 81.9±1ms            |    1    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF')                            |
|          | 26.8±1ms             | 27.6±1ms            |    1.03 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP')                                |
|          | 590±5ms              | 618±10ms            |    1.05 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF')                                 |
|          | 3.35±0.07ms          | 3.44±0.08ms         |    1.03 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF')                             |
|          | 603±6ms              | 622±20ms            |    1.03 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP')                                 |
|          | 602±7ms              | 621±10ms            |    1.03 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF')                                  |
|          | 3.33±0.1ms           | 3.36±0.1ms          |    1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF')                              |
|          | 597±4ms              | 622±10ms            |    1.04 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP')                                  |
|          | 2.11±0.03ms          | 2.12±0.05ms         |    1.01 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF')                                  |
|          | 3.38±0.08ms          | 3.45±0.06ms         |    1.02 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF')                              |
|          | 2.05±0.07ms          | 2.07±0.04ms         |    1.01 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP')                                  |
|          | 2.06±0.05ms          | 2.09±0.06ms         |    1.01 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF')                                   |
|          | 3.33±0.05ms          | 3.48±0.2ms          |    1.04 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF')                               |
|          | 2.04±0.08ms          | 2.14±0.08ms         |    1.05 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP')                                   |
|          | 338±2ms              | 351±7ms             |    1.04 | load.ManyCubes.time_many_cube_load                                                          |
|          | 89.0±1ms             | 90.7±0.5ms          |    1.02 | load.ManyVars.time_many_var_load                                                            |
|          | 10.1±0.1ms           | 10.2±0.2ms          |    1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF')                            |
|          | 10.1±0.05ms          | 10.2±0.2ms          |    1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP')                            |
|          | 1.50±0.01s           | 1.55±0.05s          |    1.04 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF')                              |
|          | 1.52±0.01s           | 1.53±0.02s          |    1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP')                              |
|          | 5.33±0.06ms          | 5.42±0.03ms         |    1.02 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF')                                 |
|          | 5.32±0.02ms          | 5.39±0.05ms         |    1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP')                                 |
|          | 9.02±0.07ms          | 9.17±0.08ms         |    1.02 | load.StructuredFF.time_structured_load((1280, 960, 5), False)                               |
|          | 5.61±0.08ms          | 5.61±0.04ms         |    1    | load.StructuredFF.time_structured_load((1280, 960, 5), True)                                |
|          | 1.48±0.01s           | 1.50±0.03s          |    1.01 | load.StructuredFF.time_structured_load((2, 2, 1000), False)                                 |
|          | 412±5ms              | 414±6ms             |    1.01 | load.StructuredFF.time_structured_load((2, 2, 1000), True)                                  |
|          | 4.40±0.03ms          | 4.42±0.03ms         |    1    | load.StructuredFF.time_structured_load((2, 2, 2), False)                                    |
|          | 4.19±0.02ms          | 4.26±0.04ms         |    1.02 | load.StructuredFF.time_structured_load((2, 2, 2), True)                                     |
|          | 163±2ms              | 163±1ms             |    1    | load.TimeConstraint.time_time_constraint(20, 'FF')                                          |
|          | 15.2±0.2ms           | 15.4±0.1ms          |    1.01 | load.TimeConstraint.time_time_constraint(20, 'NetCDF')                                      |
|          | 162±1ms              | 166±2ms             |    1.03 | load.TimeConstraint.time_time_constraint(20, 'PP')                                          |
|          | 32.5±0.1ms           | 32.7±0.2ms          |    1.01 | load.TimeConstraint.time_time_constraint(3, 'FF')                                           |
|          | 14.6±0.1ms           | 15.0±0.1ms          |    1.02 | load.TimeConstraint.time_time_constraint(3, 'NetCDF')                                       |
|          | 32.7±0.1ms           | 32.9±0.1ms          |    1.01 | load.TimeConstraint.time_time_constraint(3, 'PP')                                           |
|          | 28.1±0.3ms           | 28.1±0.2ms          |    1    | load.ugrid.BasicLoading.time_load_file(1)                                                   |
|          | 202±1ms              | 207±4ms             |    1.02 | load.ugrid.BasicLoading.time_load_file(200000)                                              |
|          | 8.76±0.1ms           | 8.94±0.2ms          |    1.02 | load.ugrid.BasicLoading.time_load_mesh(1)                                                   |
|          | 15.9±0.2ms           | 16.0±0.1ms          |    1.01 | load.ugrid.BasicLoading.time_load_mesh(200000)                                              |
|          | 28.9±0.4ms           | 28.2±0.4ms          |    0.98 | load.ugrid.BasicLoadingTime.time_load_file(1)                                               |
|          | 28.4±0.2ms           | 28.1±0.8ms          |    0.99 | load.ugrid.BasicLoadingTime.time_load_file(200000)                                          |
|          | 8.82±0.1ms           | 8.72±0.08ms         |    0.99 | load.ugrid.BasicLoadingTime.time_load_mesh(1)                                               |
|          | 11.2±0.2ms           | 11.2±0.2ms          |    1    | load.ugrid.BasicLoadingTime.time_load_mesh(200000)                                          |
|          | 33.8±0.4ms           | 33.6±0.1ms          |    0.99 | load.ugrid.Callback.time_load_file_callback(1)                                              |
|          | 274±2ms              | 280±2ms             |    1.02 | load.ugrid.Callback.time_load_file_callback(200000)                                         |
|          | 33.8±0.7ms           | 34.2±0.6ms          |    1.01 | load.ugrid.CallbackTime.time_load_file_callback(1)                                          |
|          | 34.4±0.7ms           | 34.6±0.6ms          |    1.01 | load.ugrid.CallbackTime.time_load_file_callback(200000)                                     |
|          | 3.31±0.04ms          | 3.42±0.08ms         |    1.03 | load.ugrid.DataRealisation.time_realise_data(10000)                                         |
|          | 6.20±0.06ms          | 6.31±0.2ms          |    1.02 | load.ugrid.DataRealisation.time_realise_data(200000)                                        |
|          | 36.4±0.7ms           | 36.5±2ms            |    1    | load.ugrid.DataRealisationTime.time_realise_data(10000)                                     |
|          | 779±10ms             | 777±4ms             |    1    | load.ugrid.DataRealisationTime.time_realise_data(200000)                                    |
|          | 1.36±0.02s           | 1.36±0.02s          |    1    | merge_concat.Concatenate.time_concatenate(False)                                            |
|          | 415±6ms              | 426±8ms             |    1.03 | merge_concat.Concatenate.time_concatenate(True)                                             |
|          | 2.42±0G              | 2.42±0G             |    1    | merge_concat.Concatenate.tracemalloc_concatenate(False)                                     |
|          | 118±5M               | 114±5M              |    0.97 | merge_concat.Concatenate.tracemalloc_concatenate(True)                                      |
|          | 33.6±4ms             | 39.7±3ms            |    1.18 | merge_concat.Merge.time_merge                                                               |
|          | 126±0.03M            | 126±0.03M           |    1    | merge_concat.Merge.tracemalloc_merge                                                        |
|          | 364±3ns              | 369±4ns             |    1.01 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50)              |
|          | 195±1ms              | 195±2ms             |    1    | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500)             |
|          | 771±0.3k             | 772±0.3k            |    1    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(50)       |
|          | 60.2±0M              | 60.2±0M             |    1    | mesh.utils.regions_combine.CombineRegionsComputeRealData.tracemalloc_compute_data(500)      |
|          | 203±0.6ms            | 207±2ms             |    1.02 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)           |
|          | 203±3ms              | 206±3ms             |    1.01 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)          |
|          | 8.83±0.01M           | 8.83±0.01M          |    1    | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)    |
|          | 27.8±0M              | 27.8±0M             |    1    | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500)   |
|          | 638±7ms              | 646±5ms             |    1.01 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)         |
|          | 1.10±0.01s           | 1.11±0.01s          |    1.01 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)        |
|          | 10.2±0.3M            | 10.2±0.3M           |    1    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50)  |
|          | 101±2M               | 101±2M              |    1    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(500) |
|          | 605±10ms             | 609±10ms            |    1.01 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                             |
|          | 1.05±0s              | 1.05±0s             |    1    | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                            |
|          | 10.2±0.3M            | 10.2±0.3M           |    1    | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                      |
|          | 102±0.3M             | 102±0.3M            |    1    | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(500)                     |
|          | 2.1752849999999997   | 2.1752849999999997  |    1    | mesh.utils.regions_combine.CombineRegionsSaveData.track_filesize_saved(50)                  |
|          | 216.01528499999998   | 216.01528499999998  |    1    | mesh.utils.regions_combine.CombineRegionsSaveData.track_filesize_saved(500)                 |
|          | 6.65±0.02ms          | 6.68±0.08ms         |    1    | plot.AuxSort.time_aux_sort                                                                  |
|          | 77.0±3ms             | 77.7±3ms            |    1.01 | regridding.CurvilinearRegridding.time_regrid_pic                                            |
|          | 136±3M               | 136±3M              |    1    | regridding.CurvilinearRegridding.tracemalloc_regrid_pic                                     |
|          | 93.3±7ms             | 104±4ms             |    1.12 | regridding.HorizontalChunkedRegridding.time_regrid_area_w                                   |
|          | 65.8±5ms             | 62.1±1ms            |    0.94 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid                          |
|          | 107±0.08M            | 107±0.09M           |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w                            |
|          | 147±0.04M            | 147±0.04M           |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w_new_grid                   |
|          | 4.59±0.02ms          | 4.68±0.05ms         |    1.02 | save.NetcdfSave.time_netcdf_save_cube(50, False)                                            |
|          | 648±8ms              | 651±7ms             |    1.01 | save.NetcdfSave.time_netcdf_save_cube(50, True)                                             |
|          | 40.8±0.7ms           | 40.9±0.3ms          |    1    | save.NetcdfSave.time_netcdf_save_cube(600, False)                                           |
|          | 1.03±0.01s           | 1.04±0.01s          |    1.01 | save.NetcdfSave.time_netcdf_save_cube(600, True)                                            |
|          | 87.2±6ns             | 87.1±10ns           |    1    | save.NetcdfSave.time_netcdf_save_mesh(50, False)                                            |
|          | 91.9±1ms             | 92.5±2ms            |    1.01 | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                             |
|          | 87.5±3ns             | 87.0±10ns           |    1    | save.NetcdfSave.time_netcdf_save_mesh(600, False)                                           |
|          | 437±8ms              | 442±7ms             |    1.01 | save.NetcdfSave.time_netcdf_save_mesh(600, True)                                            |
|          | 31.8±0.4k            | 31.8±0.3k           |    1    | save.NetcdfSave.tracemalloc_netcdf_save(50, False)                                          |
|          | 10.2±0.3M            | 10.2±0.3M           |    1    | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                           |
|          | 31.6±0.3k            | 31.7±0.2k           |    1    | save.NetcdfSave.tracemalloc_netcdf_save(600, False)                                         |
|          | 217±20M              | 191±30M             |    0.88 | save.NetcdfSave.tracemalloc_netcdf_save(600, True)                                          |
|          | 38.4±0.4ms           | 39.1±0.2ms          |    1.02 | stats.PearsonR.time_lazy                                                                    |
|          | 9.22±0.2ms           | 9.25±0.3ms          |    1    | stats.PearsonR.time_real                                                                    |
|          | 29.7±1M              | 29.4±0.8M           |    0.99 | stats.PearsonR.tracemalloc_lazy                                                             |
|          | 18.3±0.01M           | 18.3±0.01M          |    1    | stats.PearsonR.tracemalloc_real                                                             |
|          | 24.4±0.3ms           | 24.3±0.5ms          |    1    | trajectory.TrajectoryInterpolation.time_trajectory_linear                                   |
|          | 59.8±0.7ms           | 60.7±0.9ms          |    1.01 | trajectory.TrajectoryInterpolation.time_trajectory_nearest                                  |
|          | 17.6±0.02M           | 17.6±0.02M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_linear                            |
|          | 7.75±0.02M           | 7.75±0.02M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_nearest                           |

Generated by GHA run 16117651205

@trexfeathers trexfeathers mentioned this pull request Jul 11, 2025
Merged
@trexfeathers trexfeathers marked this pull request as draft July 25, 2025 10:36
@trexfeathers
Copy link
Contributor Author

This is draft until v3.13.x is merged back, since that will reset the What's New page. (Can't wait for Towncrier...)

@trexfeathers trexfeathers marked this pull request as ready for review July 25, 2025 12:45
ukmo-ccbunney
ukmo-ccbunney approved these changes Jul 25, 2025
View reviewed changes
Copy link
Contributor

@ukmo-ccbunney ukmo-ccbunney left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM.

@ukmo-ccbunney ukmo-ccbunney merged commit a764463 into SciTools:main Jul 25, 2025
22 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers

@ukmo-ccbunney ukmo-ccbunney ukmo-ccbunney approved these changes

@scitools-ci scitools-ci[bot] scitools-ci[bot] left review comments

Assignees
No one assigned
Labels
benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts Type: Performance Type: Testing
Projects
🚴 Peloton
Status: Done
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
2 participants
@trexfeathers @ukmo-ccbunney