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DOCS: Support for generating LLM friendy summary for the docs. - #7095

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SciTools:mainfrom
tkknight:llm
May 26, 2026
Merged

bjlittle merged 5 commits into
SciTools:mainfrom
tkknight:llm

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@tkknight

@tkknight tkknight commented May 22, 2026

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🚀 Pull Request

Description

Used sphinx_llms_txt to generate llms.txt and lms-full.txt. The is not fully adopted by LLLM scrapers yet but seems appropriate to add to improve LLM understanding of Iris.

Other changes:

  • Fixed a typo in the whatsnew
  • Sorted the extensions list in conf.py

Ref

We should also setup a robots.txt and sitemap.xml file for Iris, this will be a separate PR.


Consult Iris pull request check list


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

scitools-ci[bot]
scitools-ci Bot previously requested changes May 22, 2026

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Templating

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 90.13%. Comparing base (94ecf39) to head (00a9419).
⚠️ Report is 68 commits behind head on main.

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  Files          91       91           
  Lines       24957    24957           
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=======================================
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  Misses       1683     1683           
  Partials      778      778           

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@bjlittle

bjlittle commented May 22, 2026

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@tkknight You need to add the sphinx-llms-txt package to the lockfile prior to using it, hence why you've got the CI doctest failure (I guess).

@github-actions github-actions Bot added the benchmark_this Request that this pull request be benchmarked to check if it introduces performance shifts label May 22, 2026
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⏱️ Performance Benchmark Report: 77c68af

Performance shifts
| Change   | Before [3d16556d]    | After [77c68afe]    |   Ratio | Benchmark (Parameter)                |
|----------|----------------------|---------------------|---------|--------------------------------------|
| -        | 414±10μs             | 336±7μs             |    0.81 | import_iris.Iris.time_aux_factory    |
| -        | 565±10μs             | 469±8μs             |    0.83 | import_iris.Iris.time_fileformats_cf |
Full benchmark results

Benchmarks that have improved:

| Change   | Before [3d16556d]    | After [77c68afe]    |   Ratio | Benchmark (Parameter)                |
|----------|----------------------|---------------------|---------|--------------------------------------|
| -        | 414±10μs             | 336±7μs             |    0.81 | import_iris.Iris.time_aux_factory    |
| -        | 565±10μs             | 469±8μs             |    0.83 | import_iris.Iris.time_fileformats_cf |

Benchmarks that have stayed the same:

| Change   | Before [3d16556d]    | After [77c68afe]    |   Ratio | Benchmark (Parameter)                                                                       |
|----------|----------------------|---------------------|---------|---------------------------------------------------------------------------------------------|
|          | 21.3±0.5ms           | 22.3±1ms            |    1.05 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False)                              |
|          | 54.2±0.6ms           | 54.9±1ms            |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True)                               |
|          | 36.1±0.3ms           | 37.1±0.7ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False)                    |
|          | 174±2ms              | 182±4ms             |    1.05 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True)                     |
|          | 23.7±0.3ms           | 24.6±0.7ms          |    1.04 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)                              |
|          | 33.4±0.6ms           | 33.2±0.3ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)                               |
|          | 23.4±0.2ms           | 24.2±0.4ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)                              |
|          | 33.3±0.3ms           | 32.9±0.4ms          |    0.99 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)                               |
|          | 21.3±0.4ms           | 22.2±0.7ms          |    1.04 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False)                                |
|          | 45.5±0.6ms           | 45.8±1ms            |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True)                                 |
|          | 140±9ms              | 143±2ms             |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False)                            |
|          | 142±3ms              | 144±3ms             |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True)                             |
|          | 22.2±0.3ms           | 23.1±0.4ms          |    1.04 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False)                               |
|          | 50.9±1ms             | 51.1±0.4ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True)                                |
|          | 23.9±0.3ms           | 24.8±0.3ms          |    1.04 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False)                             |
|          | 60.0±0.7ms           | 60.3±0.8ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True)                              |
|          | 21.1±0.3ms           | 21.9±0.7ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False)                                |
|          | 45.9±0.6ms           | 46.7±1ms            |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True)                                 |
|          | 1.11±0.01s           | 1.12±0.01s          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False)                               |
|          | 1.11±0.01s           | 1.11±0.02s          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True)                                |
|          | 222±3ms              | 225±4ms             |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)                         |
|          | 383±10ms             | 390±8ms             |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)                          |
|          | 22.0±0.3ms           | 22.7±0.6ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)                         |
|          | 31.6±0.3ms           | 32.5±0.5ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)                          |
|          | 22.2±0.4ms           | 23.8±0.5ms          |    1.07 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False)                                |
|          | 60.6±0.6ms           | 61.5±0.8ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True)                                 |
|          | 23.1±0.2ms           | 24.5±0.3ms          |    1.06 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False)                            |
|          | 63.8±0.8ms           | 65.5±1ms            |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True)                             |
|          | 23.3±0.3ms           | 24.3±0.5ms          |    1.04 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False)                           |
|          | 61.7±0.7ms           | 62.5±0.6ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True)                            |
|          | 8.18±0.06ms          | 8.08±0.08ms         |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)                               |
|          | 23.4±0.4ms           | 23.1±0.4ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)                                |
|          | 20.9±0.3ms           | 20.5±0.3ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False)                     |
|          | 133±2ms              | 135±1ms             |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True)                      |
|          | 8.78±0.1ms           | 8.63±0.08ms         |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)                               |
|          | 21.2±0.4ms           | 21.7±0.4ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)                                |
|          | 8.52±0.07ms          | 8.61±0.1ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)                               |
|          | 20.9±0.3ms           | 21.0±0.4ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)                                |
|          | 8.01±0.06ms          | 8.14±0.1ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)                                 |
|          | 21.4±0.4ms           | 22.0±0.2ms          |    1.03 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)                                  |
|          | 25.7±0.4ms           | 27.4±0.5ms          |    1.06 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)                             |
|          | 36.6±0.7ms           | 38.4±1ms            |    1.05 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)                              |
|          | 8.48±0.2ms           | 8.33±0.08ms         |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)                                |
|          | 21.8±0.2ms           | 22.1±0.6ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)                                 |
|          | 9.39±0.1ms           | 9.36±0.09ms         |    1    | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)                              |
|          | 24.3±0.4ms           | 24.1±0.6ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)                               |
|          | 8.16±0.1ms           | 8.04±0.1ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)                                 |
|          | 21.5±0.2ms           | 21.7±0.3ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)                                  |
|          | 538±4ms              | 539±6ms             |    1    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False)                                |
|          | 556±5ms              | 553±4ms             |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True)                                 |
|          | 46.8±0.9ms           | 48.7±1ms            |    1.04 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False)                          |
|          | 141±2ms              | 154±3ms             |    1.09 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True)                           |
|          | 8.41±0.2ms           | 8.55±0.1ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)                          |
|          | 20.7±0.3ms           | 21.8±0.2ms          |    1.05 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)                           |
|          | 8.39±0.2ms           | 8.38±0.1ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)                                 |
|          | 23.0±0.3ms           | 23.9±0.4ms          |    1.04 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)                                  |
|          | 8.67±0.2ms           | 8.59±0.1ms          |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)                             |
|          | 23.2±0.4ms           | 23.6±0.3ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)                              |
|          | 8.57±0.1ms           | 8.87±0.1ms          |    1.03 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)                            |
|          | 22.7±0.5ms           | 23.3±0.4ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)                             |
|          | 23.1±0.4ms           | 24.4±0.7ms          |    1.06 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False)                     |
|          | 86.2±0.5ms           | 91.0±2ms            |    1.06 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True)                      |
|          | 22.2±0.5ms           | 24.5±0.7ms          |    1.11 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False)                      |
|          | 97.5±0.7ms           | 103±3ms             |    1.06 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True)                       |
|          | 21.4±0.3ms           | 22.7±0.6ms          |    1.06 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False)                      |
|          | 55.8±1ms             | 57.5±1ms            |    1.03 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True)                       |
|          | 8.73±0.1ms           | 8.97±0.2ms          |    1.03 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False)                      |
|          | 28.3±0.5ms           | 29.0±0.9ms          |    1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)                       |
|          | 8.55±0.1ms           | 8.51±0.2ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)                       |
|          | 30.5±0.6ms           | 30.9±1ms            |    1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)                        |
|          | 8.37±0.09ms          | 8.37±0.2ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)                       |
|          | 24.0±0.5ms           | 24.2±0.4ms          |    1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)                        |
|          | 235±4ms              | 235±2ms             |    1    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False)               |
|          | 292±7ms              | 303±3ms             |    1.04 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True)                |
|          | 1.21±0.02ms          | 1.19±0.04ms         |    0.99 | cube.CubeCreation.time_create(False, 'construct')                                           |
|          | 419±7μs              | 405±5μs             |    0.97 | cube.CubeCreation.time_create(False, 'instantiate')                                         |
|          | 2.15±0.04ms          | 2.13±0.02ms         |    0.99 | cube.CubeCreation.time_create(True, 'construct')                                            |
|          | 1.55±0.03ms          | 1.51±0.02ms         |    0.97 | cube.CubeCreation.time_create(True, 'instantiate')                                          |
|          | 86.3±3ms             | 87.5±2ms            |    1.01 | cube.CubeEquality.time_equality(False, False, 'all_equal')                                  |
|          | 25.4±0.6ms           | 27.2±0.5ms          |    1.07 | cube.CubeEquality.time_equality(False, False, 'coord_inequality')                           |
|          | 98.6±2ms             | 100±2ms             |    1.02 | cube.CubeEquality.time_equality(False, False, 'data_inequality')                            |
|          | 18.4±0.2μs           | 17.6±0.6μs          |    0.96 | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')                        |
|          | 89.5±3ms             | 92.9±2ms            |    1.04 | cube.CubeEquality.time_equality(False, True, 'all_equal')                                   |
|          | 28.5±0.7ms           | 32.4±1ms            |    1.14 | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                            |
|          | 103±3ms              | 104±2ms             |    1.01 | cube.CubeEquality.time_equality(False, True, 'data_inequality')                             |
|          | 18.4±0.1μs           | 17.3±0.2μs          |    0.94 | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')                         |
|          | 170±2ms              | 172±3ms             |    1.01 | cube.CubeEquality.time_equality(True, False, 'all_equal')                                   |
|          | 67.3±1ms             | 70.2±1ms            |    1.04 | cube.CubeEquality.time_equality(True, False, 'coord_inequality')                            |
|          | 201±6ms              | 200±5ms             |    1    | cube.CubeEquality.time_equality(True, False, 'data_inequality')                             |
|          | 56.9±0.3μs           | 55.3±0.8μs          |    0.97 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')                         |
|          | 253±20ms             | 258±7ms             |    1.02 | cube.CubeEquality.time_equality(True, True, 'all_equal')                                    |
|          | 147±3ms              | 147±4ms             |    1    | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                             |
|          | 278±8ms              | 282±4ms             |    1.02 | cube.CubeEquality.time_equality(True, True, 'data_inequality')                              |
|          | 405±3μs              | 382±3μs             |    0.94 | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                          |
|          | 1.01±0.01ms          | 899±10μs            |    0.89 | import_iris.Iris.time__concatenate                                                          |
|          | 229±2μs              | 199±10μs            |    0.87 | import_iris.Iris.time__constraints                                                          |
|          | 141±1μs              | 123±4μs             |    0.87 | import_iris.Iris.time__data_manager                                                         |
|          | 109±0.3μs            | 106±3μs             |    0.97 | import_iris.Iris.time__deprecation                                                          |
|          | 179±5μs              | 171±7μs             |    0.96 | import_iris.Iris.time__lazy_data                                                            |
|          | 1.10±0.01ms          | 1000±10μs           |    0.91 | import_iris.Iris.time__merge                                                                |
|          | 73.7±0.7μs           | 74.9±2μs            |    1.02 | import_iris.Iris.time__representation                                                       |
|          | 733±8μs              | 650±20μs            |    0.89 | import_iris.Iris.time_analysis                                                              |
|          | 153±0.7μs            | 148±5μs             |    0.96 | import_iris.Iris.time_analysis__area_weighted                                               |
|          | 108±0.8μs            | 108±0.9μs           |    1.01 | import_iris.Iris.time_analysis__grid_angles                                                 |
|          | 283±6μs              | 273±9μs             |    0.96 | import_iris.Iris.time_analysis__interpolation                                               |
|          | 222±3μs              | 207±6μs             |    0.93 | import_iris.Iris.time_analysis__regrid                                                      |
|          | 131±0.7μs            | 116±3μs             |    0.88 | import_iris.Iris.time_analysis__scipy_interpolate                                           |
|          | 142±2μs              | 142±1μs             |    1    | import_iris.Iris.time_analysis_calculus                                                     |
|          | 362±9μs              | 347±20μs            |    0.96 | import_iris.Iris.time_analysis_cartography                                                  |
|          | 92.9±1μs             | 94.2±0.6μs          |    1.01 | import_iris.Iris.time_analysis_geomerty                                                     |
|          | 229±1μs              | 220±3μs             |    0.96 | import_iris.Iris.time_analysis_maths                                                        |
|          | 96.2±0.8μs           | 97.9±1μs            |    1.02 | import_iris.Iris.time_analysis_stats                                                        |
|          | 196±3μs              | 184±3μs             |    0.94 | import_iris.Iris.time_analysis_trajectory                                                   |
|          | 80.2±2μs             | 82.7±1μs            |    1.03 | import_iris.Iris.time_common                                                                |
|          | 193±3μs              | 170±4μs             |    0.88 | import_iris.Iris.time_common_lenient                                                        |
|          | 1.58±0.01ms          | 1.48±0.03ms         |    0.94 | import_iris.Iris.time_common_metadata                                                       |
|          | 207±2μs              | 190±7μs             |    0.92 | import_iris.Iris.time_common_mixin                                                          |
|          | 1.30±0.02ms          | 1.26±0.04ms         |    0.97 | import_iris.Iris.time_common_resolve                                                        |
|          | 266±4μs              | 257±2μs             |    0.96 | import_iris.Iris.time_config                                                                |
|          | 139±2μs              | 136±0.9μs           |    0.98 | import_iris.Iris.time_coord_categorisation                                                  |
|          | 470±10μs             | 409±7μs             |    0.87 | import_iris.Iris.time_coord_systems                                                         |
|          | 955±30μs             | 847±20μs            |    0.89 | import_iris.Iris.time_coords                                                                |
|          | 909±50μs             | 815±50μs            |    0.9  | import_iris.Iris.time_cube                                                                  |
|          | 294±4μs              | 266±6μs             |    0.91 | import_iris.Iris.time_exceptions                                                            |
|          | 73.9±0.7μs           | 74.6±0.8μs          |    1.01 | import_iris.Iris.time_experimental                                                          |
|          | 180±3μs              | 183±1μs             |    1.02 | import_iris.Iris.time_fileformats                                                           |
|          | 300±9μs              | 268±5μs             |    0.89 | import_iris.Iris.time_fileformats__ff                                                       |
|          | 2.79±0.2ms           | 2.83±0.1ms          |    1.02 | import_iris.Iris.time_fileformats__ff_cross_references                                      |
|          | 77.3±0.9μs           | 77.2±1μs            |    1    | import_iris.Iris.time_fileformats__pp_lbproc_pairs                                          |
|          | 132±1μs              | 120±1μs             |    0.91 | import_iris.Iris.time_fileformats_abf                                                       |
|          | 4.92±0.4ms           | 5.21±0.2ms          |    1.06 | import_iris.Iris.time_fileformats_dot                                                       |
|          | 73.1±1μs             | 72.0±0.8μs          |    0.98 | import_iris.Iris.time_fileformats_name                                                      |
|          | 265±6μs              | 260±1μs             |    0.98 | import_iris.Iris.time_fileformats_name_loaders                                              |
|          | 116±2μs              | 118±0.9μs           |    1.02 | import_iris.Iris.time_fileformats_netcdf                                                    |
|          | 171±4μs              | 166±4μs             |    0.97 | import_iris.Iris.time_fileformats_nimrod                                                    |
|          | 345±4μs              | 324±3μs             |    0.94 | import_iris.Iris.time_fileformats_nimrod_load_rules                                         |
|          | 932±30μs             | 821±10μs            |    0.88 | import_iris.Iris.time_fileformats_pp                                                        |
|          | 178±3μs              | 181±3μs             |    1.02 | import_iris.Iris.time_fileformats_pp_load_rules                                             |
|          | 134±2μs              | 137±2μs             |    1.02 | import_iris.Iris.time_fileformats_pp_save_rules                                             |
|          | 623±9μs              | 587±8μs             |    0.94 | import_iris.Iris.time_fileformats_rules                                                     |
|          | 257±6μs              | 238±5μs             |    0.93 | import_iris.Iris.time_fileformats_structured_array_identification                           |
|          | 81.1±2μs             | 80.5±0.8μs          |    0.99 | import_iris.Iris.time_fileformats_um                                                        |
|          | 174±3μs              | 164±1μs             |    0.95 | import_iris.Iris.time_fileformats_um__fast_load                                             |
|          | 158±2μs              | 145±0.7μs           |    0.92 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields                           |
|          | 72.2±0.8μs           | 73.7±0.9μs          |    1.02 | import_iris.Iris.time_fileformats_um__ff_replacement                                        |
|          | 79.2±1μs             | 80.9±0.6μs          |    1.02 | import_iris.Iris.time_fileformats_um__optimal_array_structuring                             |
|          | 978±20μs             | 990±10μs            |    1.01 | import_iris.Iris.time_fileformats_um_cf_map                                                 |
|          | 143±3μs              | 140±2μs             |    0.98 | import_iris.Iris.time_io                                                                    |
|          | 219±3μs              | 189±3μs             |    0.86 | import_iris.Iris.time_io_format_picker                                                      |
|          | 224±4μs              | 211±1μs             |    0.94 | import_iris.Iris.time_iris                                                                  |
|          | 144±4μs              | 131±1μs             |    0.91 | import_iris.Iris.time_iterate                                                               |
|          | 9.30±0.3ms           | 9.08±0.1ms          |    0.98 | import_iris.Iris.time_palette                                                               |
|          | 1.79±0.06ms          | 1.78±0.01ms         |    0.99 | import_iris.Iris.time_plot                                                                  |
|          | 245±5μs              | 224±2μs             |    0.91 | import_iris.Iris.time_quickplot                                                             |
|          | 2.19±0.2ms           | 2.23±0.06ms         |    1.02 | import_iris.Iris.time_std_names                                                             |
|          | 1.91±0.03ms          | 1.89±0.01ms         |    0.99 | import_iris.Iris.time_symbols                                                               |
|          | 108±2ms              | 108±2ms             |    1    | import_iris.Iris.time_tests                                                                 |
|          | 242±3μs              | 240±4μs             |    0.99 | import_iris.Iris.time_third_party_cartopy                                                   |
|          | 5.17±0.06ms          | 5.23±0.07ms         |    1.01 | import_iris.Iris.time_third_party_cf_units                                                  |
|          | 121±1μs              | 125±1μs             |    1.03 | import_iris.Iris.time_third_party_cftime                                                    |
|          | 2.61±0.06ms          | 2.60±0.05ms         |    1    | import_iris.Iris.time_third_party_matplotlib                                                |
|          | 549±9μs              | 540±6μs             |    0.98 | import_iris.Iris.time_third_party_numpy                                                     |
|          | 174±3μs              | 179±4μs             |    1.03 | import_iris.Iris.time_third_party_scipy                                                     |
|          | 113±1μs              | 108±3μs             |    0.95 | import_iris.Iris.time_time                                                                  |
|          | 874±10μs             | 867±10μs            |    0.99 | import_iris.Iris.time_util                                                                  |
|          | 95.2±0.6μs           | 94.5±2μs            |    0.99 | iterate.IZip.time_izip                                                                      |
|          | 10.4±0.2ms           | 10.6±0.1ms          |    1.02 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF')                                  |
|          | 18.9±0.4ms           | 19.1±0.6ms          |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF')                              |
|          | 10.3±0.1ms           | 10.4±0.1ms          |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP')                                  |
|          | 10.4±0.1ms           | 10.7±0.2ms          |    1.03 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF')                                   |
|          | 15.1±0.3ms           | 15.2±0.7ms          |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF')                               |
|          | 10.3±0.2ms           | 10.3±0.3ms          |    1    | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP')                                   |
|          | 1.59±0.01s           | 1.59±0.01s          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF')                                    |
|          | 13.6±0.1ms           | 14.0±0.1ms          |    1.03 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF')                                |
|          | 1.59±0.01s           | 1.57±0.02s          |    0.99 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP')                                    |
|          | 1.58±0.01s           | 1.58±0.02s          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF')                                     |
|          | 13.8±0.2ms           | 14.4±0.1ms          |    1.04 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF')                                 |
|          | 1.57±0.01s           | 1.55±0.01s          |    0.99 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP')                                     |
|          | 5.47±0.03ms          | 5.79±0.07ms         |    1.06 | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF')                                     |
|          | 13.4±0.2ms           | 13.9±0.1ms          |    1.04 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF')                                 |
|          | 5.29±0.08ms          | 5.35±0.04ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP')                                     |
|          | 5.45±0.1ms           | 5.67±0.1ms          |    1.04 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF')                                      |
|          | 13.7±0.1ms           | 14.0±0.2ms          |    1.03 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF')                                  |
|          | 5.41±0.1ms           | 5.32±0.09ms         |    0.98 | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP')                                      |
|          | 26.4±0.3ms           | 26.1±0.5ms          |    0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF')                               |
|          | 23.1±0.7ms           | 23.0±1ms            |    0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF')                           |
|          | 13.5±1ms             | 13.3±1ms            |    0.99 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP')                               |
|          | 29.7±1ms             | 29.1±1ms            |    0.98 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF')                                |
|          | 83.4±1ms             | 83.3±0.9ms          |    1    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF')                            |
|          | 28.2±0.8ms           | 29.1±0.4ms          |    1.03 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP')                                |
|          | 673±1ms              | 664±3ms             |    0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF')                                 |
|          | 3.82±0.1ms           | 4.04±0.2ms          |    1.06 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF')                             |
|          | 675±2ms              | 668±3ms             |    0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP')                                 |
|          | 686±4ms              | 670±4ms             |    0.98 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF')                                  |
|          | 3.83±0.1ms           | 4.07±0.1ms          |    1.06 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF')                              |
|          | 676±2ms              | 669±4ms             |    0.99 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP')                                  |
|          | 2.26±0.09ms          | 2.37±0.1ms          |    1.05 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF')                                  |
|          | 3.71±0.2ms           | 3.85±0.08ms         |    1.04 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF')                              |
|          | 2.35±0.07ms          | 2.42±0.1ms          |    1.03 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP')                                  |
|          | 2.29±0.08ms          | 2.43±0.08ms         |    1.06 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF')                                   |
|          | 3.89±0.2ms           | 4.00±0.2ms          |    1.03 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF')                               |
|          | 2.35±0.05ms          | 2.44±0.1ms          |    1.04 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP')                                   |
|          | 380±5ms              | 388±7ms             |    1.02 | load.ManyCubes.time_many_cube_load                                                          |
|          | 98.4±1ms             | 99.5±2ms            |    1.01 | load.ManyVars.time_many_var_load                                                            |
|          | 10.6±0.2ms           | 11.1±0.4ms          |    1.05 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF')                            |
|          | 10.4±0.2ms           | 11.1±0.3ms          |    1.07 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP')                            |
|          | 1.61±0.01s           | 1.59±0.01s          |    0.98 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF')                              |
|          | 1.59±0.01s           | 1.59±0.02s          |    1    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP')                              |
|          | 5.54±0.04ms          | 5.61±0.1ms          |    1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF')                                 |
|          | 5.34±0.04ms          | 5.55±0.2ms          |    1.04 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP')                                 |
|          | 9.83±0.3ms           | 9.79±0.2ms          |    1    | load.StructuredFF.time_structured_load((1280, 960, 5), False)                               |
|          | 5.90±0.2ms           | 5.97±0.2ms          |    1.01 | load.StructuredFF.time_structured_load((1280, 960, 5), True)                                |
|          | 1.59±0.01s           | 1.58±0.02s          |    0.99 | load.StructuredFF.time_structured_load((2, 2, 1000), False)                                 |
|          | 445±2ms              | 452±3ms             |    1.01 | load.StructuredFF.time_structured_load((2, 2, 1000), True)                                  |
|          | 4.62±0.03ms          | 4.81±0.06ms         |    1.04 | load.StructuredFF.time_structured_load((2, 2, 2), False)                                    |
|          | 4.43±0.05ms          | 4.54±0.06ms         |    1.03 | load.StructuredFF.time_structured_load((2, 2, 2), True)                                     |
|          | 165±3ms              | 165±2ms             |    0.99 | load.TimeConstraint.time_time_constraint(20, 'FF')                                          |
|          | 16.5±0.8ms           | 17.1±0.4ms          |    1.03 | load.TimeConstraint.time_time_constraint(20, 'NetCDF')                                      |
|          | 163±1ms              | 160±2ms             |    0.99 | load.TimeConstraint.time_time_constraint(20, 'PP')                                          |
|          | 33.4±0.3ms           | 34.2±0.5ms          |    1.03 | load.TimeConstraint.time_time_constraint(3, 'FF')                                           |
|          | 16.2±0.2ms           | 17.2±0.2ms          |    1.06 | load.TimeConstraint.time_time_constraint(3, 'NetCDF')                                       |
|          | 33.5±0.6ms           | 33.8±0.4ms          |    1.01 | load.TimeConstraint.time_time_constraint(3, 'PP')                                           |
|          | 22.3±0.7ms           | 21.8±1ms            |    0.98 | load.ugrid.BasicLoading.time_load_file(1)                                                   |
|          | 55.6±2ms             | 53.9±1ms            |    0.97 | load.ugrid.BasicLoading.time_load_file(200000)                                              |
|          | 10.4±0.3ms           | 11.5±0.6ms          |    1.11 | load.ugrid.BasicLoading.time_load_mesh(1)                                                   |
|          | 19.5±0.7ms           | 19.6±0.8ms          |    1.01 | load.ugrid.BasicLoading.time_load_mesh(200000)                                              |
|          | 22.2±0.6ms           | 23.0±0.5ms          |    1.04 | load.ugrid.BasicLoadingTime.time_load_file(1)                                               |
|          | 22.5±0.4ms           | 22.6±0.4ms          |    1    | load.ugrid.BasicLoadingTime.time_load_file(200000)                                          |
|          | 10.6±0.2ms           | 11.3±0.5ms          |    1.07 | load.ugrid.BasicLoadingTime.time_load_mesh(1)                                               |
|          | 13.7±0.4ms           | 14.3±0.3ms          |    1.05 | load.ugrid.BasicLoadingTime.time_load_mesh(200000)                                          |
|          | 24.1±0.3ms           | 25.8±0.9ms          |    1.07 | load.ugrid.Callback.time_load_file_callback(1)                                              |
|          | 67.6±1ms             | 68.9±2ms            |    1.02 | load.ugrid.Callback.time_load_file_callback(200000)                                         |
|          | 24.6±1ms             | 26.0±0.8ms          |    1.06 | load.ugrid.CallbackTime.time_load_file_callback(1)                                          |
|          | 26.3±1ms             | 27.2±0.6ms          |    1.03 | load.ugrid.CallbackTime.time_load_file_callback(200000)                                     |
|          | 3.96±0.08ms          | 4.09±0.09ms         |    1.03 | load.ugrid.DataRealisation.time_realise_data(10000)                                         |
|          | 5.13±0.1ms           | 5.14±0.2ms          |    1    | load.ugrid.DataRealisation.time_realise_data(200000)                                        |
|          | 52.2±3ms             | 53.0±4ms            |    1.01 | load.ugrid.DataRealisationTime.time_realise_data(10000)                                     |
|          | 1.05±0.04s           | 1.06±0.04s          |    1.01 | load.ugrid.DataRealisationTime.time_realise_data(200000)                                    |
|          | 1.34±0.03s           | 1.29±0.03s          |    0.97 | merge_concat.Concatenate.time_concatenate(False)                                            |
|          | 444±20ms             | 462±10ms            |    1.04 | merge_concat.Concatenate.time_concatenate(True)                                             |
|          | 2.43±0.01G           | 2.42±0G             |    1    | merge_concat.Concatenate.tracemalloc_concatenate(False)                                     |
|          | 121±2M               | 111±5M              |    0.92 | merge_concat.Concatenate.tracemalloc_concatenate(True)                                      |
|          | 35.1±2ms             | 35.2±2ms            |    1    | merge_concat.Merge.time_merge                                                               |
|          | 126±0.03M            | 126±0.03M           |    1    | merge_concat.Merge.tracemalloc_merge                                                        |
|          | 384±2ns              | 381±5ns             |    0.99 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50)              |
|          | 198±1ms              | 203±1ms             |    1.02 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500)             |
|          | 771±0.6k             | 768±2k              |    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)      |
|          | 20.8±0.4ms           | 20.2±0.3ms          |    0.97 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)           |
|          | 24.4±0.3ms           | 23.0±0.2ms          |    0.94 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)          |
|          | 1.23±0M              | 1.23±0M             |    1    | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)    |
|          | 25±0M                | 25±0M               |    1    | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500)   |
|          | 117±4ms              | 121±2ms             |    1.04 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)         |
|          | 472±9ms              | 476±5ms             |    1.01 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)        |
|          | 1.64±0.03M           | 1.46±0.04M          |    0.89 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50)  |
|          | 96.7±0.03M           | 96.5±0.03M          |    1    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(500) |
|          | 79.7±2ms             | 81.4±0.7ms          |    1.02 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                             |
|          | 422±3ms              | 424±3ms             |    1.01 | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                            |
|          | 1.46±0.04M           | 1.38±0.04M          |    0.95 | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                      |
|          | 96.5±0.04M           | 96.4±0.02M          |    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)                 |
|          | 6.86±0.07ms          | 6.69±0.3ms          |    0.98 | plot.AuxSort.time_aux_sort                                                                  |
|          | 56.5±0.7ms           | 57.5±1ms            |    1.02 | regridding.CurvilinearRegridding.time_regrid_pic                                            |
|          | 136±3M               | 136±3M              |    1    | regridding.CurvilinearRegridding.tracemalloc_regrid_pic                                     |
|          | 104±7ms              | 103±4ms             |    0.99 | regridding.HorizontalChunkedRegridding.time_regrid_area_w                                   |
|          | 54.4±2ms             | 55.2±0.8ms          |    1.01 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid                          |
|          | 107±0.2M             | 107±0.1M            |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w                            |
|          | 147±0.04M            | 147±0.04M           |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w_new_grid                   |
|          | 4.81±0.1ms           | 5.22±0.3ms          |    1.09 | save.NetcdfSave.time_netcdf_save_cube(50, False)                                            |
|          | 85.4±1ms             | 85.4±1ms            |    1    | save.NetcdfSave.time_netcdf_save_cube(50, True)                                             |
|          | 23.8±20ms            | 24.7±20ms           |    1.04 | save.NetcdfSave.time_netcdf_save_cube(600, False)                                           |
|          | 302±4ms              | 299±2ms             |    0.99 | save.NetcdfSave.time_netcdf_save_cube(600, True)                                            |
|          | 94.0±0.9ns           | 93.0±4ns            |    0.99 | save.NetcdfSave.time_netcdf_save_mesh(50, False)                                            |
|          | 64.8±0.6ms           | 65.9±1ms            |    1.02 | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                             |
|          | 97.3±1ns             | 95.5±2ns            |    0.98 | save.NetcdfSave.time_netcdf_save_mesh(600, False)                                           |
|          | 261±3ms              | 257±5ms             |    0.99 | save.NetcdfSave.time_netcdf_save_mesh(600, True)                                            |
|          | 31.1±0.3k            | 31.8±0.3k           |    1.02 | save.NetcdfSave.tracemalloc_netcdf_save(50, False)                                          |
|          | 1.94±0.1M            | 1.87±0.06M          |    0.96 | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                           |
|          | 31±0.4k              | 31.8±0.4k           |    1.03 | save.NetcdfSave.tracemalloc_netcdf_save(600, False)                                         |
|          | 225±20M              | 225±20M             |    1    | save.NetcdfSave.tracemalloc_netcdf_save(600, True)                                          |
|          | 41.0±0.5ms           | 42.1±0.9ms          |    1.03 | stats.PearsonR.time_lazy                                                                    |
|          | 10.1±0.2ms           | 10.5±0.4ms          |    1.04 | stats.PearsonR.time_real                                                                    |
|          | 30.6±1M              | 29.3±0.3M           |    0.96 | stats.PearsonR.tracemalloc_lazy                                                             |
|          | 18.3±0M              | 18.3±0M             |    1    | stats.PearsonR.tracemalloc_real                                                             |
|          | 24.7±0.6ms           | 25.4±0.3ms          |    1.03 | trajectory.TrajectoryInterpolation.time_trajectory_linear                                   |
|          | 60.5±3ms             | 61.1±0.7ms          |    1.01 | trajectory.TrajectoryInterpolation.time_trajectory_nearest                                  |
|          | 17.6±0.04M           | 17.6±0.01M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_linear                            |
|          | 7.77±0.05M           | 7.74±0.01M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_nearest                           |

Generated by GHA run 26294935823

@trexfeathers
trexfeathers marked this pull request as draft May 26, 2026 06:01
@tkknight
tkknight requested a review from bjlittle May 26, 2026 10:28
* upstream/main:
  Updated environment lockfiles (SciTools#7097)
@tkknight
tkknight marked this pull request as ready for review May 26, 2026 13:29
@bjlittle
bjlittle merged commit 28762c4 into SciTools:main May 26, 2026
31 of 40 checks passed
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⏱️ Performance Benchmark Report: aed6370

Performance shifts

Full benchmark results

Benchmarks that have stayed the same:

| Change   | Before [94ecf391]    | After [aed6370b]    |   Ratio | Benchmark (Parameter)                                                                       |
|----------|----------------------|---------------------|---------|---------------------------------------------------------------------------------------------|
|          | 18.8±0.3ms           | 18.7±0.1ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(False)                              |
|          | 48.4±0.6ms           | 48.2±0.8ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_COUNT(True)                               |
|          | 30.8±0.4ms           | 31.7±0.6ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(False)                    |
|          | 151±3ms              | 156±3ms             |    1.04 | aggregate_collapse.Aggregation.time_aggregated_by_FAST_PERCENTILE(True)                     |
|          | 20.2±0.3ms           | 20.4±0.4ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(False)                              |
|          | 27.5±0.4ms           | 28.8±0.3ms          |    1.05 | aggregate_collapse.Aggregation.time_aggregated_by_GMEAN(True)                               |
|          | 20.7±0.1ms           | 20.7±0.5ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(False)                              |
|          | 28.0±0.5ms           | 28.8±0.3ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_HMEAN(True)                               |
|          | 18.7±0.3ms           | 18.7±0.2ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MAX(False)                                |
|          | 39.8±0.5ms           | 40.8±0.5ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_MAX(True)                                 |
|          | 120±2ms              | 123±1ms             |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(False)                            |
|          | 121±1ms              | 122±2ms             |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MAX_RUN(True)                             |
|          | 19.4±0.3ms           | 19.9±0.3ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(False)                               |
|          | 43.9±0.5ms           | 44.4±0.6ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_MEAN(True)                                |
|          | 21.0±0.4ms           | 21.0±0.3ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(False)                             |
|          | 52.3±0.7ms           | 53.6±0.7ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_MEDIAN(True)                              |
|          | 18.7±0.3ms           | 18.6±0.4ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MIN(False)                                |
|          | 40.5±0.4ms           | 40.6±0.7ms          |    1    | aggregate_collapse.Aggregation.time_aggregated_by_MIN(True)                                 |
|          | 911±9ms              | 919±6ms             |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(False)                               |
|          | 912±10ms             | 922±10ms            |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_PEAK(True)                                |
|          | 160±2ms              | 163±2ms             |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(False)                         |
|          | 280±9ms              | 279±5ms             |    1    | aggregate_collapse.Aggregation.time_aggregated_by_PERCENTILE(True)                          |
|          | 19.2±0.1ms           | 19.7±0.4ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(False)                         |
|          | 26.4±0.5ms           | 26.9±0.4ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_PROPORTION(True)                          |
|          | 19.2±0.3ms           | 19.8±0.3ms          |    1.03 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(False)                                |
|          | 53.7±0.9ms           | 54.1±0.5ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_RMS(True)                                 |
|          | 20.5±0.4ms           | 20.8±0.3ms          |    1.02 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(False)                            |
|          | 56.1±0.8ms           | 56.4±0.6ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_STD_DEV(True)                             |
|          | 19.8±0.2ms           | 20.1±0.3ms          |    1.01 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(False)                           |
|          | 51.7±0.6ms           | 53.5±0.5ms          |    1.04 | aggregate_collapse.Aggregation.time_aggregated_by_VARIANCE(True)                            |
|          | 6.60±0.06ms          | 6.73±0.08ms         |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(False)                               |
|          | 19.6±0.4ms           | 19.7±0.4ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_COUNT(True)                                |
|          | 17.1±0.2ms           | 17.3±0.3ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(False)                     |
|          | 108±2ms              | 112±3ms             |    1.03 | aggregate_collapse.Aggregation.time_collapsed_by_FAST_PERCENTILE(True)                      |
|          | 7.21±0.1ms           | 7.13±0.05ms         |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(False)                               |
|          | 18.0±0.5ms           | 18.1±0.3ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_GMEAN(True)                                |
|          | 7.03±0.1ms           | 7.20±0.05ms         |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(False)                               |
|          | 17.8±0.2ms           | 18.2±0.2ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_HMEAN(True)                                |
|          | 6.75±0.05ms          | 6.62±0.05ms         |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(False)                                 |
|          | 18.5±0.2ms           | 18.9±0.5ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MAX(True)                                  |
|          | 22.8±0.4ms           | 23.2±0.2ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(False)                             |
|          | 32.0±1ms             | 33.2±1ms            |    1.04 | aggregate_collapse.Aggregation.time_collapsed_by_MAX_RUN(True)                              |
|          | 6.84±0.08ms          | 6.98±0.1ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(False)                                |
|          | 18.7±0.2ms           | 19.2±0.3ms          |    1.03 | aggregate_collapse.Aggregation.time_collapsed_by_MEAN(True)                                 |
|          | 7.95±0.06ms          | 7.91±0.06ms         |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(False)                              |
|          | 21.1±0.4ms           | 20.7±0.5ms          |    0.98 | aggregate_collapse.Aggregation.time_collapsed_by_MEDIAN(True)                               |
|          | 6.55±0.05ms          | 6.72±0.08ms         |    1.03 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(False)                                 |
|          | 18.4±0.3ms           | 18.8±0.4ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_MIN(True)                                  |
|          | 560±4ms              | 557±2ms             |    1    | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(False)                                |
|          | 570±3ms              | 577±8ms             |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PEAK(True)                                 |
|          | 35.5±0.5ms           | 36.0±0.4ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(False)                          |
|          | 121±4ms              | 119±3ms             |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_PERCENTILE(True)                           |
|          | 6.82±0.06ms          | 6.97±0.1ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(False)                          |
|          | 17.6±0.2ms           | 17.7±0.2ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_PROPORTION(True)                           |
|          | 6.89±0.08ms          | 6.99±0.06ms         |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_RMS(False)                                 |
|          | 20.1±0.6ms           | 20.1±0.4ms          |    1    | aggregate_collapse.Aggregation.time_collapsed_by_RMS(True)                                  |
|          | 6.96±0.02ms          | 7.11±0.1ms          |    1.02 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(False)                             |
|          | 19.9±0.3ms           | 20.0±0.4ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_STD_DEV(True)                              |
|          | 7.23±0.05ms          | 7.14±0.09ms         |    0.99 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(False)                            |
|          | 19.4±0.3ms           | 19.6±0.4ms          |    1.01 | aggregate_collapse.Aggregation.time_collapsed_by_VARIANCE(True)                             |
|          | 19.8±0.2ms           | 20.0±0.3ms          |    1.01 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(False)                     |
|          | 77.7±1ms             | 78.0±1ms            |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_MEAN(True)                      |
|          | 19.7±0.3ms           | 19.8±0.2ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(False)                      |
|          | 88.3±2ms             | 88.2±1ms            |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_RMS(True)                       |
|          | 18.6±0.2ms           | 19.5±0.4ms          |    1.05 | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(False)                      |
|          | 49.9±0.5ms           | 50.0±0.8ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_aggregated_by_SUM(True)                       |
|          | 7.15±0.09ms          | 7.31±0.2ms          |    1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(False)                      |
|          | 24.8±0.6ms           | 24.7±0.9ms          |    1    | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_MEAN(True)                       |
|          | 6.96±0.1ms           | 7.19±0.06ms         |    1.03 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(False)                       |
|          | 26.3±1ms             | 26.7±0.8ms          |    1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_RMS(True)                        |
|          | 6.85±0.1ms           | 6.99±0.04ms         |    1.02 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(False)                       |
|          | 20.5±0.2ms           | 20.3±0.4ms          |    0.99 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_SUM(True)                        |
|          | 169±5ms              | 166±0.8ms           |    0.98 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(False)               |
|          | 225±2ms              | 228±2ms             |    1.01 | aggregate_collapse.WeightedAggregation.time_w_collapsed_by_WPERCENTILE(True)                |
|          | 902±10μs             | 930±20μs            |    1.03 | cube.CubeCreation.time_create(False, 'construct')                                           |
|          | 314±5μs              | 317±7μs             |    1.01 | cube.CubeCreation.time_create(False, 'instantiate')                                         |
|          | 1.54±0.01ms          | 1.59±0.02ms         |    1.03 | cube.CubeCreation.time_create(True, 'construct')                                            |
|          | 1.09±0.02ms          | 1.13±0.02ms         |    1.04 | cube.CubeCreation.time_create(True, 'instantiate')                                          |
|          | 83.7±1ms             | 83.1±1ms            |    0.99 | cube.CubeEquality.time_equality(False, False, 'all_equal')                                  |
|          | 23.3±0.8ms           | 24.3±1ms            |    1.04 | cube.CubeEquality.time_equality(False, False, 'coord_inequality')                           |
|          | 94.8±1ms             | 94.3±2ms            |    0.99 | cube.CubeEquality.time_equality(False, False, 'data_inequality')                            |
|          | 15.1±0.1μs           | 15.2±0.07μs         |    1    | cube.CubeEquality.time_equality(False, False, 'metadata_inequality')                        |
|          | 84.7±2ms             | 85.2±2ms            |    1.01 | cube.CubeEquality.time_equality(False, True, 'all_equal')                                   |
|          | 26.4±0.5ms           | 27.4±0.7ms          |    1.03 | cube.CubeEquality.time_equality(False, True, 'coord_inequality')                            |
|          | 97.6±1ms             | 98.6±2ms            |    1.01 | cube.CubeEquality.time_equality(False, True, 'data_inequality')                             |
|          | 15.1±0.1μs           | 15.1±0.08μs         |    1    | cube.CubeEquality.time_equality(False, True, 'metadata_inequality')                         |
|          | 156±2ms              | 154±4ms             |    0.99 | cube.CubeEquality.time_equality(True, False, 'all_equal')                                   |
|          | 59.8±1ms             | 59.6±2ms            |    1    | cube.CubeEquality.time_equality(True, False, 'coord_inequality')                            |
|          | 185±4ms              | 182±5ms             |    0.98 | cube.CubeEquality.time_equality(True, False, 'data_inequality')                             |
|          | 42.1±0.2μs           | 42.6±0.2μs          |    1.01 | cube.CubeEquality.time_equality(True, False, 'metadata_inequality')                         |
|          | 224±4ms              | 224±3ms             |    1    | cube.CubeEquality.time_equality(True, True, 'all_equal')                                    |
|          | 125±4ms              | 123±3ms             |    0.98 | cube.CubeEquality.time_equality(True, True, 'coord_inequality')                             |
|          | 248±6ms              | 247±5ms             |    1    | cube.CubeEquality.time_equality(True, True, 'data_inequality')                              |
|          | 282±3μs              | 282±3μs             |    1    | cube.CubeEquality.time_equality(True, True, 'metadata_inequality')                          |
|          | 801±10μs             | 781±30μs            |    0.97 | import_iris.Iris.time__concatenate                                                          |
|          | 155±2μs              | 155±3μs             |    1    | import_iris.Iris.time__constraints                                                          |
|          | 88.3±3μs             | 87.6±2μs            |    0.99 | import_iris.Iris.time__data_manager                                                         |
|          | 68.8±0.8μs           | 69.4±1μs            |    1.01 | import_iris.Iris.time__deprecation                                                          |
|          | 130±2μs              | 135±2μs             |    1.04 | import_iris.Iris.time__lazy_data                                                            |
|          | 865±8μs              | 866±8μs             |    1    | import_iris.Iris.time__merge                                                                |
|          | 51.3±0.5μs           | 51.8±0.4μs          |    1.01 | import_iris.Iris.time__representation                                                       |
|          | 596±4μs              | 620±20μs            |    1.04 | import_iris.Iris.time_analysis                                                              |
|          | 105±2μs              | 106±0.8μs           |    1.01 | import_iris.Iris.time_analysis__area_weighted                                               |
|          | 73.2±1μs             | 78.0±3μs            |    1.07 | import_iris.Iris.time_analysis__grid_angles                                                 |
|          | 233±2μs              | 240±7μs             |    1.03 | import_iris.Iris.time_analysis__interpolation                                               |
|          | 160±3μs              | 159±5μs             |    1    | import_iris.Iris.time_analysis__regrid                                                      |
|          | 79.1±2μs             | 79.7±2μs            |    1.01 | import_iris.Iris.time_analysis__scipy_interpolate                                           |
|          | 99.4±0.8μs           | 108±5μs             |    1.09 | import_iris.Iris.time_analysis_calculus                                                     |
|          | 304±10μs             | 315±10μs            |    1.04 | import_iris.Iris.time_analysis_cartography                                                  |
|          | 59.9±0.5μs           | 60.4±1μs            |    1.01 | import_iris.Iris.time_analysis_geomerty                                                     |
|          | 182±3μs              | 184±2μs             |    1.01 | import_iris.Iris.time_analysis_maths                                                        |
|          | 61.0±1μs             | 61.4±0.3μs          |    1.01 | import_iris.Iris.time_analysis_stats                                                        |
|          | 141±3μs              | 142±3μs             |    1    | import_iris.Iris.time_analysis_trajectory                                                   |
|          | 288±7μs              | 292±5μs             |    1.02 | import_iris.Iris.time_aux_factory                                                           |
|          | 55.7±1μs             | 55.7±0.2μs          |    1    | import_iris.Iris.time_common                                                                |
|          | 130±4μs              | 134±2μs             |    1.03 | import_iris.Iris.time_common_lenient                                                        |
|          | 1.30±0.01ms          | 1.30±0.02ms         |    1    | import_iris.Iris.time_common_metadata                                                       |
|          | 143±3μs              | 150±2μs             |    1.05 | import_iris.Iris.time_common_mixin                                                          |
|          | 1.16±0.03ms          | 1.17±0.01ms         |    1    | import_iris.Iris.time_common_resolve                                                        |
|          | 206±2μs              | 209±0.9μs           |    1.01 | import_iris.Iris.time_config                                                                |
|          | 97.3±2μs             | 96.1±2μs            |    0.99 | import_iris.Iris.time_coord_categorisation                                                  |
|          | 354±8μs              | 361±6μs             |    1.02 | import_iris.Iris.time_coord_systems                                                         |
|          | 825±10μs             | 825±20μs            |    1    | import_iris.Iris.time_coords                                                                |
|          | 754±30μs             | 772±20μs            |    1.02 | import_iris.Iris.time_cube                                                                  |
|          | 219±4μs              | 209±2μs             |    0.95 | import_iris.Iris.time_exceptions                                                            |
|          | 51.5±0.2μs           | 53.7±0.8μs          |    1.04 | import_iris.Iris.time_experimental                                                          |
|          | 140±2μs              | 141±0.7μs           |    1.01 | import_iris.Iris.time_fileformats                                                           |
|          | 225±5μs              | 233±6μs             |    1.03 | import_iris.Iris.time_fileformats__ff                                                       |
|          | 2.62±0.04ms          | 2.66±0.01ms         |    1.02 | import_iris.Iris.time_fileformats__ff_cross_references                                      |
|          | 49.7±0.6μs           | 49.5±0.8μs          |    1    | import_iris.Iris.time_fileformats__pp_lbproc_pairs                                          |
|          | 81.1±1μs             | 83.2±2μs            |    1.03 | import_iris.Iris.time_fileformats_abf                                                       |
|          | 413±8μs              | 412±4μs             |    1    | import_iris.Iris.time_fileformats_cf                                                        |
|          | 4.85±0.1ms           | 4.87±0.06ms         |    1    | import_iris.Iris.time_fileformats_dot                                                       |
|          | 46.7±0.5μs           | 46.3±0.2μs          |    0.99 | import_iris.Iris.time_fileformats_name                                                      |
|          | 233±3μs              | 235±6μs             |    1.01 | import_iris.Iris.time_fileformats_name_loaders                                              |
|          | 85.1±1μs             | 86.0±0.8μs          |    1.01 | import_iris.Iris.time_fileformats_netcdf                                                    |
|          | 123±1μs              | 128±3μs             |    1.04 | import_iris.Iris.time_fileformats_nimrod                                                    |
|          | 283±4μs              | 281±4μs             |    0.99 | import_iris.Iris.time_fileformats_nimrod_load_rules                                         |
|          | 809±9μs              | 836±7μs             |    1.03 | import_iris.Iris.time_fileformats_pp                                                        |
|          | 142±3μs              | 141±3μs             |    0.99 | import_iris.Iris.time_fileformats_pp_load_rules                                             |
|          | 96.7±2μs             | 98.6±3μs            |    1.02 | import_iris.Iris.time_fileformats_pp_save_rules                                             |
|          | 504±4μs              | 515±6μs             |    1.02 | import_iris.Iris.time_fileformats_rules                                                     |
|          | 201±2μs              | 202±2μs             |    1.01 | import_iris.Iris.time_fileformats_structured_array_identification                           |
|          | 55.5±0.2μs           | 56.0±0.6μs          |    1.01 | import_iris.Iris.time_fileformats_um                                                        |
|          | 125±5μs              | 127±3μs             |    1.02 | import_iris.Iris.time_fileformats_um__fast_load                                             |
|          | 104±1μs              | 109±2μs             |    1.05 | import_iris.Iris.time_fileformats_um__fast_load_structured_fields                           |
|          | 47.6±0.3μs           | 47.3±0.2μs          |    0.99 | import_iris.Iris.time_fileformats_um__ff_replacement                                        |
|          | 51.7±0.5μs           | 51.6±0.3μs          |    1    | import_iris.Iris.time_fileformats_um__optimal_array_structuring                             |
|          | 976±4μs              | 983±3μs             |    1.01 | import_iris.Iris.time_fileformats_um_cf_map                                                 |
|          | 100.0±1μs            | 103±1μs             |    1.03 | import_iris.Iris.time_io                                                                    |
|          | 144±2μs              | 151±6μs             |    1.04 | import_iris.Iris.time_io_format_picker                                                      |
|          | 168±2μs              | 171±4μs             |    1.02 | import_iris.Iris.time_iris                                                                  |
|          | 93.8±2μs             | 93.3±1μs            |    0.99 | import_iris.Iris.time_iterate                                                               |
|          | 7.53±0.1ms           | 7.51±0.08ms         |    1    | import_iris.Iris.time_palette                                                               |
|          | 1.73±0.01ms          | 1.75±0.02ms         |    1.01 | import_iris.Iris.time_plot                                                                  |
|          | 183±2μs              | 182±3μs             |    1    | import_iris.Iris.time_quickplot                                                             |
|          | 2.27±0.02ms          | 2.32±0.06ms         |    1.02 | import_iris.Iris.time_std_names                                                             |
|          | 1.60±0.01ms          | 1.58±0.02ms         |    0.99 | import_iris.Iris.time_symbols                                                               |
|          | 42.6±1ms             | 42.0±1ms            |    0.98 | import_iris.Iris.time_tests                                                                 |
|          | 184±4μs              | 183±1μs             |    0.99 | import_iris.Iris.time_third_party_cartopy                                                   |
|          | 5.23±0.05ms          | 5.17±0.04ms         |    0.99 | import_iris.Iris.time_third_party_cf_units                                                  |
|          | 89.1±0.6μs           | 90.0±0.3μs          |    1.01 | import_iris.Iris.time_third_party_cftime                                                    |
|          | 2.57±0.02ms          | 2.59±0.04ms         |    1.01 | import_iris.Iris.time_third_party_matplotlib                                                |
|          | 511±10μs             | 517±9μs             |    1.01 | import_iris.Iris.time_third_party_numpy                                                     |
|          | 126±1μs              | 138±5μs             |    1.09 | import_iris.Iris.time_third_party_scipy                                                     |
|          | 69.2±1μs             | 70.1±0.6μs          |    1.01 | import_iris.Iris.time_time                                                                  |
|          | 873±5μs              | 871±7μs             |    1    | import_iris.Iris.time_util                                                                  |
|          | 76.5±0.6μs           | 77.3±1μs            |    1.01 | iterate.IZip.time_izip                                                                      |
|          | 8.92±0.06ms          | 9.14±0.1ms          |    1.02 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'FF')                                  |
|          | 16.3±0.1ms           | 16.4±0.1ms          |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'NetCDF')                              |
|          | 8.81±0.05ms          | 8.93±0.03ms         |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), False, 'PP')                                  |
|          | 8.97±0.05ms          | 9.03±0.03ms         |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'FF')                                   |
|          | 13.1±0.2ms           | 13.2±0.2ms          |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'NetCDF')                               |
|          | 8.84±0.06ms          | 8.92±0.06ms         |    1.01 | load.LoadAndRealise.time_load((1280, 960, 5), True, 'PP')                                   |
|          | 1.34±0.01s           | 1.37±0.02s          |    1.02 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'FF')                                    |
|          | 12.0±0.3ms           | 11.9±0.4ms          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), False, 'NetCDF')                                |
|          | 1.33±0.02s           | 1.31±0.02s          |    0.98 | load.LoadAndRealise.time_load((2, 2, 1000), False, 'PP')                                    |
|          | 1.32±0.02s           | 1.33±0.01s          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'FF')                                     |
|          | 12.3±0.3ms           | 12.1±0.2ms          |    0.99 | load.LoadAndRealise.time_load((2, 2, 1000), True, 'NetCDF')                                 |
|          | 1.31±0.02s           | 1.32±0.01s          |    1    | load.LoadAndRealise.time_load((2, 2, 1000), True, 'PP')                                     |
|          | 4.79±0.02ms          | 4.86±0.03ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'FF')                                     |
|          | 11.7±0.1ms           | 11.8±0.08ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), False, 'NetCDF')                                 |
|          | 4.64±0.02ms          | 4.75±0.07ms         |    1.02 | load.LoadAndRealise.time_load((50, 50, 2), False, 'PP')                                     |
|          | 4.80±0.03ms          | 4.85±0.04ms         |    1.01 | load.LoadAndRealise.time_load((50, 50, 2), True, 'FF')                                      |
|          | 11.6±0.04ms          | 12.3±0.3ms          |    1.06 | load.LoadAndRealise.time_load((50, 50, 2), True, 'NetCDF')                                  |
|          | 4.64±0.02ms          | 4.73±0.03ms         |    1.02 | load.LoadAndRealise.time_load((50, 50, 2), True, 'PP')                                      |
|          | 24.6±0.5ms           | 24.2±0.4ms          |    0.98 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'FF')                               |
|          | 19.9±1ms             | 21.1±0.9ms          |    1.06 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'NetCDF')                           |
|          | 12.6±1ms             | 12.9±0.4ms          |    1.02 | load.LoadAndRealise.time_realise((1280, 960, 5), False, 'PP')                               |
|          | 30.1±1ms             | 30.3±1ms            |    1.01 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'FF')                                |
|          | 87.2±0.7ms           | 87.1±0.9ms          |    1    | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'NetCDF')                            |
|          | 29.2±1ms             | 29.6±2ms            |    1.01 | load.LoadAndRealise.time_realise((1280, 960, 5), True, 'PP')                                |
|          | 557±5ms              | 559±2ms             |    1    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'FF')                                 |
|          | 3.18±0.07ms          | 3.12±0.07ms         |    0.98 | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'NetCDF')                             |
|          | 559±3ms              | 559±4ms             |    1    | load.LoadAndRealise.time_realise((2, 2, 1000), False, 'PP')                                 |
|          | 567±4ms              | 571±3ms             |    1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'FF')                                  |
|          | 3.20±0.1ms           | 3.24±0.06ms         |    1.01 | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'NetCDF')                              |
|          | 566±4ms              | 569±2ms             |    1    | load.LoadAndRealise.time_realise((2, 2, 1000), True, 'PP')                                  |
|          | 2.04±0.04ms          | 2.06±0.03ms         |    1.01 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'FF')                                  |
|          | 3.18±0.06ms          | 3.10±0.1ms          |    0.97 | load.LoadAndRealise.time_realise((50, 50, 2), False, 'NetCDF')                              |
|          | 2.03±0.02ms          | 2.02±0.03ms         |    1    | load.LoadAndRealise.time_realise((50, 50, 2), False, 'PP')                                  |
|          | 2.04±0.03ms          | 2.10±0.07ms         |    1.03 | load.LoadAndRealise.time_realise((50, 50, 2), True, 'FF')                                   |
|          | 3.23±0.08ms          | 3.24±0.1ms          |    1    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'NetCDF')                               |
|          | 2.05±0.03ms          | 2.05±0.02ms         |    1    | load.LoadAndRealise.time_realise((50, 50, 2), True, 'PP')                                   |
|          | 319±2ms              | 322±2ms             |    1.01 | load.ManyCubes.time_many_cube_load                                                          |
|          | 87.3±1ms             | 87.2±0.5ms          |    1    | load.ManyVars.time_many_var_load                                                            |
|          | 9.04±0.04ms          | 9.13±0.04ms         |    1.01 | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'FF')                            |
|          | 8.96±0.06ms          | 9.00±0.06ms         |    1    | load.STASHConstraint.time_stash_constraint((1280, 960, 5), 'PP')                            |
|          | 1.33±0.01s           | 1.34±0.01s          |    1    | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'FF')                              |
|          | 1.32±0.01s           | 1.33±0.01s          |    1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 1000), 'PP')                              |
|          | 4.87±0.01ms          | 4.88±0.03ms         |    1    | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'FF')                                 |
|          | 4.71±0.01ms          | 4.76±0.07ms         |    1.01 | load.STASHConstraint.time_stash_constraint((2, 2, 2), 'PP')                                 |
|          | 8.17±0.1ms           | 8.41±0.1ms          |    1.03 | load.StructuredFF.time_structured_load((1280, 960, 5), False)                               |
|          | 5.29±0.1ms           | 5.25±0.03ms         |    0.99 | load.StructuredFF.time_structured_load((1280, 960, 5), True)                                |
|          | 1.31±0.01s           | 1.33±0.01s          |    1.02 | load.StructuredFF.time_structured_load((2, 2, 1000), False)                                 |
|          | 374±6ms              | 372±3ms             |    0.99 | load.StructuredFF.time_structured_load((2, 2, 1000), True)                                  |
|          | 4.04±0.02ms          | 4.11±0.06ms         |    1.02 | load.StructuredFF.time_structured_load((2, 2, 2), False)                                    |
|          | 4.07±0.09ms          | 4.08±0.02ms         |    1    | load.StructuredFF.time_structured_load((2, 2, 2), True)                                     |
|          | 139±2ms              | 141±2ms             |    1.01 | load.TimeConstraint.time_time_constraint(20, 'FF')                                          |
|          | 14.3±0.4ms           | 14.3±0.2ms          |    0.99 | load.TimeConstraint.time_time_constraint(20, 'NetCDF')                                      |
|          | 137±2ms              | 138±3ms             |    1.01 | load.TimeConstraint.time_time_constraint(20, 'PP')                                          |
|          | 28.1±0.2ms           | 28.3±0.6ms          |    1.01 | load.TimeConstraint.time_time_constraint(3, 'FF')                                           |
|          | 14.0±0.1ms           | 14.1±0.1ms          |    1.01 | load.TimeConstraint.time_time_constraint(3, 'NetCDF')                                       |
|          | 28.3±0.7ms           | 28.3±0.7ms          |    1    | load.TimeConstraint.time_time_constraint(3, 'PP')                                           |
|          | 19.0±0.3ms           | 19.0±0.3ms          |    1    | load.ugrid.BasicLoading.time_load_file(1)                                                   |
|          | 48.0±1ms             | 48.8±0.5ms          |    1.02 | load.ugrid.BasicLoading.time_load_file(200000)                                              |
|          | 9.20±0.2ms           | 9.60±0.3ms          |    1.04 | load.ugrid.BasicLoading.time_load_mesh(1)                                                   |
|          | 17.1±0.9ms           | 17.3±0.7ms          |    1.01 | load.ugrid.BasicLoading.time_load_mesh(200000)                                              |
|          | 19.0±0.5ms           | 19.2±0.5ms          |    1.01 | load.ugrid.BasicLoadingTime.time_load_file(1)                                               |
|          | 19.4±0.7ms           | 20.0±0.7ms          |    1.03 | load.ugrid.BasicLoadingTime.time_load_file(200000)                                          |
|          | 9.53±0.3ms           | 10.2±0.5ms          |    1.07 | load.ugrid.BasicLoadingTime.time_load_mesh(1)                                               |
|          | 12.6±0.6ms           | 13.3±0.7ms          |    1.06 | load.ugrid.BasicLoadingTime.time_load_mesh(200000)                                          |
|          | 20.9±0.6ms           | 21.4±0.6ms          |    1.03 | load.ugrid.Callback.time_load_file_callback(1)                                              |
|          | 58.9±1ms             | 60.1±1ms            |    1.02 | load.ugrid.Callback.time_load_file_callback(200000)                                         |
|          | 20.7±0.3ms           | 21.2±0.5ms          |    1.02 | load.ugrid.CallbackTime.time_load_file_callback(1)                                          |
|          | 22.5±0.7ms           | 23.2±0.5ms          |    1.03 | load.ugrid.CallbackTime.time_load_file_callback(200000)                                     |
|          | 3.59±0.1ms           | 3.45±0.1ms          |    0.96 | load.ugrid.DataRealisation.time_realise_data(10000)                                         |
|          | 4.48±0.2ms           | 4.41±0.1ms          |    0.98 | load.ugrid.DataRealisation.time_realise_data(200000)                                        |
|          | 55.8±3ms             | 55.2±2ms            |    0.99 | load.ugrid.DataRealisationTime.time_realise_data(10000)                                     |
|          | 1.19±0.03s           | 1.18±0.04s          |    0.99 | load.ugrid.DataRealisationTime.time_realise_data(200000)                                    |
|          | 1.19±0.01s           | 1.20±0.02s          |    1    | merge_concat.Concatenate.time_concatenate(False)                                            |
|          | 394±20ms             | 392±6ms             |    1    | merge_concat.Concatenate.time_concatenate(True)                                             |
|          | 2.42±0G              | 2.42±0G             |    1    | merge_concat.Concatenate.tracemalloc_concatenate(False)                                     |
|          | 110±0.9M             | 110±3M              |    1    | merge_concat.Concatenate.tracemalloc_concatenate(True)                                      |
|          | 29.1±1ms             | 30.0±2ms            |    1.03 | merge_concat.Merge.time_merge                                                               |
|          | 126±0.03M            | 126±0.03M           |    1    | merge_concat.Merge.tracemalloc_merge                                                        |
|          | 373±2ns              | 378±3ns             |    1.01 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(50)              |
|          | 200±1ms              | 201±3ms             |    1.01 | mesh.utils.regions_combine.CombineRegionsComputeRealData.time_compute_data(500)             |
|          | 768±2k               | 768±2k              |    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)      |
|          | 17.1±0.07ms          | 17.4±0.2ms          |    1.02 | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(50)           |
|          | 20.4±0.3ms           | 20.4±0.2ms          |    1    | mesh.utils.regions_combine.CombineRegionsCreateCube.time_create_combined_cube(500)          |
|          | 1.23±0M              | 1.23±0M             |    1    | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(50)    |
|          | 25±0M                | 25±0M               |    1    | mesh.utils.regions_combine.CombineRegionsCreateCube.tracemalloc_create_combined_cube(500)   |
|          | 99.9±2ms             | 99.9±2ms            |    1    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(50)         |
|          | 433±5ms              | 428±6ms             |    0.99 | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.time_stream_file2file(500)        |
|          | 1.48±0.04M           | 1.48±0.04M          |    1    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(50)  |
|          | 96.5±0.03M           | 96.5±0.04M          |    1    | mesh.utils.regions_combine.CombineRegionsFileStreamedCalc.tracemalloc_stream_file2file(500) |
|          | 69.1±1ms             | 69.3±0.6ms          |    1    | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(50)                             |
|          | 391±2ms              | 390±3ms             |    1    | mesh.utils.regions_combine.CombineRegionsSaveData.time_save(500)                            |
|          | 1.39±0.03M           | 1.39±0.04M          |    1    | mesh.utils.regions_combine.CombineRegionsSaveData.tracemalloc_save(50)                      |
|          | 96.4±0.03M           | 96.4±0.03M          |    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)                 |
|          | 6.72±0.2ms           | 6.62±0.1ms          |    0.99 | plot.AuxSort.time_aux_sort                                                                  |
|          | 51.8±0.8ms           | 51.8±1ms            |    1    | regridding.CurvilinearRegridding.time_regrid_pic                                            |
|          | 136±3M               | 136±3M              |    1    | regridding.CurvilinearRegridding.tracemalloc_regrid_pic                                     |
|          | 103±9ms              | 90.8±8ms            |    0.89 | regridding.HorizontalChunkedRegridding.time_regrid_area_w                                   |
|          | 50.7±0.6ms           | 51.8±0.7ms          |    1.02 | regridding.HorizontalChunkedRegridding.time_regrid_area_w_new_grid                          |
|          | 107±0.1M             | 107±0.1M            |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w                            |
|          | 147±0.03M            | 147±0.04M           |    1    | regridding.HorizontalChunkedRegridding.tracemalloc_regrid_area_w_new_grid                   |
|          | 4.64±0.08ms          | 4.68±0.09ms         |    1.01 | save.NetcdfSave.time_netcdf_save_cube(50, False)                                            |
|          | 74.8±1ms             | 75.2±0.9ms          |    1.01 | save.NetcdfSave.time_netcdf_save_cube(50, True)                                             |
|          | 28.1±30ms            | 27.8±20ms           |    0.99 | save.NetcdfSave.time_netcdf_save_cube(600, False)                                           |
|          | 265±5ms              | 263±1ms             |    0.99 | save.NetcdfSave.time_netcdf_save_cube(600, True)                                            |
|          | 97.7±1ns             | 99.7±0.8ns          |    1.02 | save.NetcdfSave.time_netcdf_save_mesh(50, False)                                            |
|          | 55.4±0.4ms           | 55.1±0.9ms          |    0.99 | save.NetcdfSave.time_netcdf_save_mesh(50, True)                                             |
|          | 98.2±1ns             | 99.5±1ns            |    1.01 | save.NetcdfSave.time_netcdf_save_mesh(600, False)                                           |
|          | 226±1ms              | 229±0.8ms           |    1.01 | save.NetcdfSave.time_netcdf_save_mesh(600, True)                                            |
|          | 31.9±0.3k            | 31.8±0.4k           |    1    | save.NetcdfSave.tracemalloc_netcdf_save(50, False)                                          |
|          | 1.67±0.2M            | 1.81±0.1M           |    1.08 | save.NetcdfSave.tracemalloc_netcdf_save(50, True)                                           |
|          | 32±0.4k              | 31.9±0.3k           |    1    | save.NetcdfSave.tracemalloc_netcdf_save(600, False)                                         |
|          | 208±20M              | 225±30M             |    1.08 | save.NetcdfSave.tracemalloc_netcdf_save(600, True)                                          |
|          | 37.2±0.4ms           | 37.0±0.3ms          |    1    | stats.PearsonR.time_lazy                                                                    |
|          | 8.45±0.2ms           | 8.89±0.3ms          |    1.05 | stats.PearsonR.time_real                                                                    |
|          | 29.3±0.7M            | 29.4±0.4M           |    1    | stats.PearsonR.tracemalloc_lazy                                                             |
|          | 18.3±0M              | 18.3±0M             |    1    | stats.PearsonR.tracemalloc_real                                                             |
|          | 21.9±0.1ms           | 22.2±0.4ms          |    1.02 | trajectory.TrajectoryInterpolation.time_trajectory_linear                                   |
|          | 57.2±0.5ms           | 57.2±0.5ms          |    1    | trajectory.TrajectoryInterpolation.time_trajectory_nearest                                  |
|          | 17.6±0.01M           | 17.6±0.01M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_linear                            |
|          | 7.74±0.01M           | 7.74±0.01M          |    1    | trajectory.TrajectoryInterpolation.tracemalloc_trajectory_nearest                           |

Generated by GHA run 26449244631

tkknight added a commit to tkknight/iris that referenced this pull request May 26, 2026
* upstream/main:
  DOCS: Support for generating LLM friendy summary for the docs. (SciTools#7095)
@scitools-ci scitools-ci Bot removed this from 🚴 Peloton Jun 24, 2026
bjlittle added a commit to bjlittle/iris that referenced this pull request Sep 10, 2026
Adopt the spec/plan convention used in bjlittle/tephpy.

Agreed design specs now live in `docs/src/developers_guide/specs/` and are
published as part of the documentation.  They are written in MyST Markdown,
are living documents revised as a design evolves, and each declares a
citation prefix so its sections can be cited from issues and pull requests.

Implementation plans live in the sibling `docs/src/developers_guide/plans/`.
A plan is point-in-time and frozen once its pull request merges, so plans are
tracked in the repository but excluded from the Sphinx build.

This requires `myst-parser`, added to `requirements/py*.yml` and inserted into
the three lock files following the precedent of SciTools#7095 and SciTools#7100.  Markdown is
used only for specs; all other documentation remains reStructuredText.

The merge/concatenate design spec moves here from `docs/superpowers/specs/`
and is reworked to the new conventions.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
bjlittle added a commit that referenced this pull request Sep 10, 2026
… and configurable (#7274)

* Add design spec for merge/concatenate improvement programme

Specifies a twelve-PR programme to make cube merge and concatenate more
robust, efficient, configurable, extensible, lazy and lenient, without a
rewrite. Each PR is either a behaviour-preserving refactor or a standalone
user-visible improvement; together they grow a shared substrate beneath
both engines.

Includes a confirmed diagnosis and fix for the separability bug open since
2017 (#2761), verified end-to-end against the reporter's case.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

* Record design-spec location in AGENTS.md

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

* docs: publish design specs as MyST Markdown

Adopt the spec/plan convention used in bjlittle/tephpy.

Agreed design specs now live in `docs/src/developers_guide/specs/` and are
published as part of the documentation.  They are written in MyST Markdown,
are living documents revised as a design evolves, and each declares a
citation prefix so its sections can be cited from issues and pull requests.

Implementation plans live in the sibling `docs/src/developers_guide/plans/`.
A plan is point-in-time and frozen once its pull request merges, so plans are
tracked in the repository but excluded from the Sphinx build.

This requires `myst-parser`, added to `requirements/py*.yml` and inserted into
the three lock files following the precedent of #7095 and #7100.  Markdown is
used only for specs; all other documentation remains reStructuredText.

The merge/concatenate design spec moves here from `docs/superpowers/specs/`
and is reworked to the new conventions.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

* docs: add a plan roadmap and decision register to the merge spec

The spec described a twelve-PR programme but had nowhere to record how far
it had got, which assumptions it rested on, or what it had left open.

Restructure §6 from a static table of work into the programme's live
progress record: dependencies as a partial order rather than a chain, a
status vocabulary, an "Outside the roadmap" list, and a numbered register
of assumptions and open decisions - each item owned by the pull request
that must resolve it. Add §10 for the questions the programme raises but
does not answer, renumbering References to §11.

Also exclude "_build" and "_static" from the Sphinx build. myst-parser
makes ".md" a source suffix, so the README of each was being read as a
document.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

* docs: record how agentic contributions are pushed and labelled

This work is long-running partly because it is also an exercise in earning
core-developer buy-in for agentic contributions, so the mechanics of how it
reaches them are worth writing down rather than re-deciding each session.

Add a "Contribution Workflow" section to AGENTS.md carrying the general
rule: branches to the fork, pull requests to a feature branch rather than
main, honest "Agentic" labelling, clear attribution, and ask before doing
anything outward-facing when unsure. Drop the "Getting Help" link list to
stay inside the file's 200-line budget - the links it held are all reachable
from CONTRIBUTING.md.

The programme-specific parts - base branch "greenfield" and the
"Feature: Merge/Concatenate" label - go in the spec's cross-cutting rules
instead, where a reviewer can see why these pull requests do not target main.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

* docs: add changelog fragments for the design spec

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

* docs: rebase the spec baseline onto greenfield

The branch was cut from main at c508ac8; greenfield carries #7270 on top
of that, which re-solved all three lock files. The lock additions here are
re-derived against those fresh locks, and remain minimal - the myst-parser
dependency closure and the input_hash, nothing else.

The cube.py line references the spec cites are unaffected: #7270's changes
are confined to rolling_window, some 4500 lines below the merge and
concatenate methods.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

* Spell out spec section citation runs

Give every cited section its own section sign, and separate a run of them
with a comma or a solidus rather than a dash.  A dashed range such as
"5.6-5.7" reads as a single citation carrying a stray suffix, so only its
first section is unambiguously identified -- by a reader now, and by any
cross-reference tooling later.

Records the rule on the Design Specs index page, next to the citation
prefix table it belongs with, and applies it to the one occurrence in the
merge/concatenate spec.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
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